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Last updated: July 22, 2025

Text not matching name pattern percent data quality checks, SQL examples

This check verifies if values stored in a text column contain only letters and are usable as literal identifiers. It measures the percentage of invalid literal identifiers and raises a data quality issue when the rate is above a threshold.


The text not matching name pattern percent data quality check has the following variants for each type of data quality checks supported by DQOps.

profile text not matching name pattern percent

Check description

Verifies that the percentage of texts not matching the name regular expression does not exceed the maximum accepted percentage.

Data quality check name Friendly name Category Check type Time scale Quality dimension Sensor definition Quality rule Standard
profile_text_not_matching_name_pattern_percent Maximum percentage of rows not containing texts that are names (e.g. numeric) patterns profiling Validity text_not_matching_name_pattern_percent max_percent

Command-line examples

Please expand the section below to see the DQOps command-line examples to run or activate the profile text not matching name pattern percent data quality check.

Managing profile text not matching name pattern percent check from DQOps shell

Activate this data quality using the check activate CLI command, providing the connection name, table name, check name, and all other filters. Activates the warning rule with the default parameters.

dqo> check activate -c=connection_name -t=schema_name.table_name -col=column_name -ch=profile_text_not_matching_name_pattern_percent --enable-warning

You can also use patterns to activate the check on all matching tables and columns.

dqo> check activate -c=connection_name -t=schema_prefix*.fact_* -col=column_name -ch=profile_text_not_matching_name_pattern_percent --enable-warning

Additional rule parameters are passed using the -Wrule_parameter_name=value.

dqo> check activate -c=connection_name -t=schema_prefix*.fact_* -col=column_name -ch=profile_text_not_matching_name_pattern_percent --enable-warning
                    -Wmax_percent=value

Activate this data quality using the check activate CLI command, providing the connection name, table name, check name, and all other filters. Activates the error rule with the default parameters.

dqo> check activate -c=connection_name -t=schema_name.table_name -col=column_name -ch=profile_text_not_matching_name_pattern_percent --enable-error

You can also use patterns to activate the check on all matching tables and columns.

dqo> check activate -c=connection_name -t=schema_prefix*.fact_* -col=column_name -ch=profile_text_not_matching_name_pattern_percent --enable-error

Additional rule parameters are passed using the -Erule_parameter_name=value.

dqo> check activate -c=connection_name -t=schema_prefix*.fact_* -col=column_name -ch=profile_text_not_matching_name_pattern_percent --enable-error
                    -Emax_percent=value

Run this data quality check using the check run CLI command by providing the check name and all other targeting filters. The following example shows how to run the profile_text_not_matching_name_pattern_percent check on all tables and columns on a single data source.

dqo> check run -c=data_source_name -ch=profile_text_not_matching_name_pattern_percent

It is also possible to run this check on a specific connection and table. In order to do this, use the connection name and the full table name parameters.

dqo> check run -c=connection_name -t=schema_name.table_name -ch=profile_text_not_matching_name_pattern_percent

You can also run this check on all tables (and columns) on which the profile_text_not_matching_name_pattern_percent check is enabled using patterns to find tables.

dqo> check run -c=connection_name -t=schema_prefix*.fact_* -col=column_name_* -ch=profile_text_not_matching_name_pattern_percent

YAML configuration

The sample schema_name.table_name.dqotable.yaml file with the check configured is shown below.

# yaml-language-server: $schema=https://cloud.dqops.com/dqo-yaml-schema/TableYaml-schema.json
apiVersion: dqo/v1
kind: table
spec:
  columns:
    target_column:
      profiling_checks:
        patterns:
          profile_text_not_matching_name_pattern_percent:
            warning:
              max_percent: 0.0
            error:
              max_percent: 1.0
            fatal:
              max_percent: 5.0
      labels:
      - This is the column that is analyzed for data quality issues
Samples of generated SQL queries for each data source type

Please expand the database engine name section to see the SQL query rendered by a Jinja2 template for the text_not_matching_name_pattern_percent data quality sensor.

BigQuery
{% import '/dialects/bigquery.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_CONTAINS(CAST({{ lib.render_target_column('analyzed_table') }} AS STRING), r"^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$")
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table.`target_column`) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_CONTAINS(CAST(analyzed_table.`target_column` AS STRING), r"^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$")
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table.`target_column`)
    END AS actual_value
FROM `your-google-project-id`.`<target_schema>`.`<target_table>` AS analyzed_table
ClickHouse
{% import '/dialects/clickhouse.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT match(toString({{ lib.render_target_column('analyzed_table') }}), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-\'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-\'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-\'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT match(toString(analyzed_table."target_column"), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-\'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-\'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-\'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value
FROM "<target_schema>"."<target_table>" AS analyzed_table
Databricks
{% import '/dialects/databricks.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} REGEXP "^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$"
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table.`target_column`) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT analyzed_table.`target_column` REGEXP "^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$"
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table.`target_column`)
    END AS actual_value
FROM `<target_schema>`.`<target_table>` AS analyzed_table
DB2
{% import '/dialects/db2.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE({{ lib.render_target_column('analyzed_table') }}, '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(analyzed_table."target_column", '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value
FROM (
    SELECT
        original_table.*
    FROM "<target_schema>"."<target_table>" original_table
) analyzed_table
DuckDB
{% import '/dialects/duckdb.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_MATCHES({{ lib.render_target_column('analyzed_table') }}, '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_MATCHES(analyzed_table."target_column", '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value
FROM  AS analyzed_table
HANA
{% import '/dialects/hana.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN CAST({{ lib.render_target_column('analyzed_table') }} AS VARCHAR) NOT LIKE_REGEXPR '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN CAST(analyzed_table."target_column" AS VARCHAR) NOT LIKE_REGEXPR '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value
FROM (
    SELECT
        original_table.*
    FROM "<target_schema>"."<target_table>" original_table
) analyzed_table
MariaDB
{% import '/dialects/mariadb.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_regex(lib.render_target_column('analyzed_table'), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([ \t\n\r\f\v''-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.]))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([ \t\n\r\f\v''-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([ \t\n\r\f\v''-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$') }}
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table.`target_column`) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT 
    analyzed_table.`target_column` RLIKE '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([  

-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.]))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([   

-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([   

-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$'

                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table.`target_column`)
    END AS actual_value
FROM `<target_table>` AS analyzed_table
MySQL
{% import '/dialects/mysql.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_regex(lib.render_target_column('analyzed_table'), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([ \t\n\r\f\v''-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.]))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([ \t\n\r\f\v''-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([ \t\n\r\f\v''-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$') }}
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table.`target_column`) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(analyzed_table.`target_column`, '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([  

-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.]))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([   

-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([   

-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table.`target_column`)
    END AS actual_value
FROM `<target_table>` AS analyzed_table
Oracle
{% import '/dialects/oracle.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE({{ lib.render_target_column('analyzed_table') }}, '^[[:alpha:] .''-]{2,}(\s.[[:alpha:] .''-]{2,})+$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(analyzed_table."target_column", '^[[:alpha:] .''-]{2,}(\s.[[:alpha:] .''-]{2,})+$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value
FROM (
    SELECT
        original_table.*
    FROM "<target_schema>"."<target_table>" original_table
) analyzed_table
PostgreSQL
{% import '/dialects/postgresql.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} ~ '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT analyzed_table."target_column" ~ '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value
FROM "your_postgresql_database"."<target_schema>"."<target_table>" AS analyzed_table
Presto
{% import '/dialects/presto.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE CAST(100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(CAST({{ lib.render_target_column('analyzed_table') }} AS VARCHAR), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) AS DOUBLE) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE CAST(100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(CAST(analyzed_table."target_column" AS VARCHAR), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) AS DOUBLE) / COUNT(analyzed_table."target_column")
    END AS actual_value
FROM (
    SELECT
        original_table.*
    FROM "your_trino_database"."<target_schema>"."<target_table>" original_table
) analyzed_table
QuestDB
{% import '/dialects/questdb.sql.jinja2' as lib with context -%}
SELECT
    COALESCE(100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} ~ '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s''-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s''.-]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s''.-]?)((a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }}), 100.0)
    AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM(
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
    WHERE {{ lib.render_target_column('original_table') }} IS NOT NULL
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    COALESCE(100.0 * SUM(
            CASE
                WHEN NOT analyzed_table."target_column" ~ '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s''-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s''.-]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s''.-]?)((a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column"), 100.0)
    AS actual_value
FROM(
    SELECT
        original_table.*
    FROM "<target_table>" original_table
    WHERE original_table."target_column" IS NOT NULL
) analyzed_table
Redshift
{% import '/dialects/redshift.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} ~ '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT analyzed_table."target_column" ~ '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value
FROM "your_redshift_database"."<target_schema>"."<target_table>" AS analyzed_table
Snowflake
{% import '/dialects/snowflake.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} REGEXP '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT analyzed_table."target_column" REGEXP '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value
FROM "your_snowflake_database"."<target_schema>"."<target_table>" AS analyzed_table
Spark
{% import '/dialects/spark.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} REGEXP "^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$"
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table.`target_column`) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT analyzed_table.`target_column` REGEXP "^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$"
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table.`target_column`)
    END AS actual_value
FROM `<target_schema>`.`<target_table>` AS analyzed_table
SQL Server
{% import '/dialects/sqlserver.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT_BIG({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN {{ lib.render_target_column('analyzed_table') }} LIKE '%[^ -~]%'
                    THEN 1
                ELSE 0
            END
        ) / COUNT_BIG({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT_BIG(analyzed_table.[target_column]) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN analyzed_table.[target_column] LIKE '%[^ -~]%'
                    THEN 1
                ELSE 0
            END
        ) / COUNT_BIG(analyzed_table.[target_column])
    END AS actual_value
FROM [your_sql_server_database].[<target_schema>].[<target_table>] AS analyzed_table
Teradata
{% import '/dialects/teradata.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN {{ lib.render_target_column('analyzed_table') }} IS NOT NULL AND
                        REGEXP_SUBSTR({{ lib.render_target_column('analyzed_table') }}, '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-''])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-''.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-''.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$') IS NULL
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN analyzed_table."target_column" IS NOT NULL AND
                        REGEXP_SUBSTR(analyzed_table."target_column", '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-''])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-''.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-''.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$') IS NULL
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value
FROM "<target_schema>"."<target_table>" AS analyzed_table
Trino
{% import '/dialects/trino.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE CAST(100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(CAST({{ lib.render_target_column('analyzed_table') }} AS VARCHAR), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) AS DOUBLE) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE CAST(100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(CAST(analyzed_table."target_column" AS VARCHAR), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) AS DOUBLE) / COUNT(analyzed_table."target_column")
    END AS actual_value
FROM (
    SELECT
        original_table.*
    FROM "your_trino_catalog"."<target_schema>"."<target_table>" original_table
) analyzed_table

Expand the Configure with data grouping section to see additional examples for configuring this data quality checks to use data grouping (GROUP BY).

Configuration with data grouping

Sample configuration with data grouping enabled (YAML) The sample below shows how to configure the data grouping and how it affects the generated SQL query.

# yaml-language-server: $schema=https://cloud.dqops.com/dqo-yaml-schema/TableYaml-schema.json
apiVersion: dqo/v1
kind: table
spec:
  default_grouping_name: group_by_country_and_state
  groupings:
    group_by_country_and_state:
      level_1:
        source: column_value
        column: country
      level_2:
        source: column_value
        column: state
  columns:
    target_column:
      profiling_checks:
        patterns:
          profile_text_not_matching_name_pattern_percent:
            warning:
              max_percent: 0.0
            error:
              max_percent: 1.0
            fatal:
              max_percent: 5.0
      labels:
      - This is the column that is analyzed for data quality issues
    country:
      labels:
      - column used as the first grouping key
    state:
      labels:
      - column used as the second grouping key

Please expand the database engine name section to see the SQL query rendered by a Jinja2 template for the text_not_matching_name_pattern_percent sensor.

BigQuery
{% import '/dialects/bigquery.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_CONTAINS(CAST({{ lib.render_target_column('analyzed_table') }} AS STRING), r"^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$")
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table.`target_column`) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_CONTAINS(CAST(analyzed_table.`target_column` AS STRING), r"^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$")
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table.`target_column`)
    END AS actual_value,
    analyzed_table.`country` AS grouping_level_1,
    analyzed_table.`state` AS grouping_level_2
FROM `your-google-project-id`.`<target_schema>`.`<target_table>` AS analyzed_table
GROUP BY grouping_level_1, grouping_level_2
ORDER BY grouping_level_1, grouping_level_2
ClickHouse
{% import '/dialects/clickhouse.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT match(toString({{ lib.render_target_column('analyzed_table') }}), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-\'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-\'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-\'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT match(toString(analyzed_table."target_column"), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-\'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-\'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-\'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,
    analyzed_table."country" AS grouping_level_1,
    analyzed_table."state" AS grouping_level_2
FROM "<target_schema>"."<target_table>" AS analyzed_table
GROUP BY grouping_level_1, grouping_level_2
ORDER BY grouping_level_1, grouping_level_2
Databricks
{% import '/dialects/databricks.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} REGEXP "^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$"
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table.`target_column`) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT analyzed_table.`target_column` REGEXP "^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$"
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table.`target_column`)
    END AS actual_value,
    analyzed_table.`country` AS grouping_level_1,
    analyzed_table.`state` AS grouping_level_2
FROM `<target_schema>`.`<target_table>` AS analyzed_table
GROUP BY grouping_level_1, grouping_level_2
ORDER BY grouping_level_1, grouping_level_2
DB2
{% import '/dialects/db2.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE({{ lib.render_target_column('analyzed_table') }}, '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(analyzed_table."target_column", '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,

                analyzed_table.grouping_level_1,

                analyzed_table.grouping_level_2
FROM (
    SELECT
        original_table.*,
    original_table."country" AS grouping_level_1,
    original_table."state" AS grouping_level_2
    FROM "<target_schema>"."<target_table>" original_table
) analyzed_table
GROUP BY grouping_level_1, grouping_level_2
ORDER BY grouping_level_1, grouping_level_2
DuckDB
{% import '/dialects/duckdb.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_MATCHES({{ lib.render_target_column('analyzed_table') }}, '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_MATCHES(analyzed_table."target_column", '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,
    analyzed_table."country" AS grouping_level_1,
    analyzed_table."state" AS grouping_level_2
FROM  AS analyzed_table
GROUP BY grouping_level_1, grouping_level_2
ORDER BY grouping_level_1, grouping_level_2
HANA
{% import '/dialects/hana.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN CAST({{ lib.render_target_column('analyzed_table') }} AS VARCHAR) NOT LIKE_REGEXPR '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN CAST(analyzed_table."target_column" AS VARCHAR) NOT LIKE_REGEXPR '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,

                analyzed_table.grouping_level_1,

                analyzed_table.grouping_level_2
FROM (
    SELECT
        original_table.*,
    original_table."country" AS grouping_level_1,
    original_table."state" AS grouping_level_2
    FROM "<target_schema>"."<target_table>" original_table
) analyzed_table
GROUP BY grouping_level_1, grouping_level_2
ORDER BY grouping_level_1, grouping_level_2
MariaDB
{% import '/dialects/mariadb.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_regex(lib.render_target_column('analyzed_table'), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([ \t\n\r\f\v''-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.]))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([ \t\n\r\f\v''-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([ \t\n\r\f\v''-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$') }}
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table.`target_column`) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT 
    analyzed_table.`target_column` RLIKE '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([  

-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.]))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([   

-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([   

-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$'

                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table.`target_column`)
    END AS actual_value,
    analyzed_table.`country` AS grouping_level_1,
    analyzed_table.`state` AS grouping_level_2
FROM `<target_table>` AS analyzed_table
GROUP BY grouping_level_1, grouping_level_2
ORDER BY grouping_level_1, grouping_level_2
MySQL
{% import '/dialects/mysql.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_regex(lib.render_target_column('analyzed_table'), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([ \t\n\r\f\v''-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.]))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([ \t\n\r\f\v''-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([ \t\n\r\f\v''-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$') }}
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table.`target_column`) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(analyzed_table.`target_column`, '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([  

-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.]))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([   

-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([   

-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table.`target_column`)
    END AS actual_value,
    analyzed_table.`country` AS grouping_level_1,
    analyzed_table.`state` AS grouping_level_2
FROM `<target_table>` AS analyzed_table
GROUP BY grouping_level_1, grouping_level_2
ORDER BY grouping_level_1, grouping_level_2
Oracle
{% import '/dialects/oracle.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE({{ lib.render_target_column('analyzed_table') }}, '^[[:alpha:] .''-]{2,}(\s.[[:alpha:] .''-]{2,})+$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(analyzed_table."target_column", '^[[:alpha:] .''-]{2,}(\s.[[:alpha:] .''-]{2,})+$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,

                analyzed_table.grouping_level_1,

                analyzed_table.grouping_level_2

FROM (
    SELECT
        original_table.*,
    original_table."country" AS grouping_level_1,
    original_table."state" AS grouping_level_2
    FROM "<target_schema>"."<target_table>" original_table
) analyzed_table
GROUP BY grouping_level_1, grouping_level_2
ORDER BY grouping_level_1, grouping_level_2
PostgreSQL
{% import '/dialects/postgresql.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} ~ '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT analyzed_table."target_column" ~ '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,
    analyzed_table."country" AS grouping_level_1,
    analyzed_table."state" AS grouping_level_2
FROM "your_postgresql_database"."<target_schema>"."<target_table>" AS analyzed_table
GROUP BY grouping_level_1, grouping_level_2
ORDER BY grouping_level_1, grouping_level_2
Presto
{% import '/dialects/presto.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE CAST(100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(CAST({{ lib.render_target_column('analyzed_table') }} AS VARCHAR), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) AS DOUBLE) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE CAST(100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(CAST(analyzed_table."target_column" AS VARCHAR), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) AS DOUBLE) / COUNT(analyzed_table."target_column")
    END AS actual_value,

                analyzed_table.grouping_level_1,

                analyzed_table.grouping_level_2

FROM (
    SELECT
        original_table.*,
    original_table."country" AS grouping_level_1,
    original_table."state" AS grouping_level_2
    FROM "your_trino_database"."<target_schema>"."<target_table>" original_table
) analyzed_table
GROUP BY grouping_level_1, grouping_level_2
ORDER BY grouping_level_1, grouping_level_2
QuestDB
{% import '/dialects/questdb.sql.jinja2' as lib with context -%}
SELECT
    COALESCE(100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} ~ '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s''-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s''.-]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s''.-]?)((a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }}), 100.0)
    AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM(
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
    WHERE {{ lib.render_target_column('original_table') }} IS NOT NULL
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    COALESCE(100.0 * SUM(
            CASE
                WHEN NOT analyzed_table."target_column" ~ '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s''-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s''.-]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s''.-]?)((a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column"), 100.0)
    AS actual_value,

                analyzed_table.grouping_level_1,

                analyzed_table.grouping_level_2
FROM(
    SELECT
        original_table.*,
    original_table."country" AS grouping_level_1,
    original_table."state" AS grouping_level_2
    FROM "<target_table>" original_table
    WHERE original_table."target_column" IS NOT NULL
) analyzed_table
GROUP BY grouping_level_1, grouping_level_2
ORDER BY grouping_level_1, grouping_level_2
Redshift
{% import '/dialects/redshift.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} ~ '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT analyzed_table."target_column" ~ '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,
    analyzed_table."country" AS grouping_level_1,
    analyzed_table."state" AS grouping_level_2
FROM "your_redshift_database"."<target_schema>"."<target_table>" AS analyzed_table
GROUP BY grouping_level_1, grouping_level_2
ORDER BY grouping_level_1, grouping_level_2
Snowflake
{% import '/dialects/snowflake.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} REGEXP '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT analyzed_table."target_column" REGEXP '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,
    analyzed_table."country" AS grouping_level_1,
    analyzed_table."state" AS grouping_level_2
FROM "your_snowflake_database"."<target_schema>"."<target_table>" AS analyzed_table
GROUP BY grouping_level_1, grouping_level_2
ORDER BY grouping_level_1, grouping_level_2
Spark
{% import '/dialects/spark.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} REGEXP "^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$"
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table.`target_column`) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT analyzed_table.`target_column` REGEXP "^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$"
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table.`target_column`)
    END AS actual_value,
    analyzed_table.`country` AS grouping_level_1,
    analyzed_table.`state` AS grouping_level_2
FROM `<target_schema>`.`<target_table>` AS analyzed_table
GROUP BY grouping_level_1, grouping_level_2
ORDER BY grouping_level_1, grouping_level_2
SQL Server
{% import '/dialects/sqlserver.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT_BIG({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN {{ lib.render_target_column('analyzed_table') }} LIKE '%[^ -~]%'
                    THEN 1
                ELSE 0
            END
        ) / COUNT_BIG({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT_BIG(analyzed_table.[target_column]) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN analyzed_table.[target_column] LIKE '%[^ -~]%'
                    THEN 1
                ELSE 0
            END
        ) / COUNT_BIG(analyzed_table.[target_column])
    END AS actual_value,
    analyzed_table.[country] AS grouping_level_1,
    analyzed_table.[state] AS grouping_level_2
FROM [your_sql_server_database].[<target_schema>].[<target_table>] AS analyzed_table
GROUP BY analyzed_table.[country], analyzed_table.[state]
ORDER BY level_1, level_2
        , 
Teradata
{% import '/dialects/teradata.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN {{ lib.render_target_column('analyzed_table') }} IS NOT NULL AND
                        REGEXP_SUBSTR({{ lib.render_target_column('analyzed_table') }}, '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-''])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-''.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-''.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$') IS NULL
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN analyzed_table."target_column" IS NOT NULL AND
                        REGEXP_SUBSTR(analyzed_table."target_column", '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-''])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-''.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-''.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$') IS NULL
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,
    analyzed_table."country" AS grouping_level_1,
    analyzed_table."state" AS grouping_level_2
FROM "<target_schema>"."<target_table>" AS analyzed_table
GROUP BY grouping_level_1, grouping_level_2
ORDER BY grouping_level_1, grouping_level_2
Trino
{% import '/dialects/trino.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE CAST(100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(CAST({{ lib.render_target_column('analyzed_table') }} AS VARCHAR), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) AS DOUBLE) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE CAST(100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(CAST(analyzed_table."target_column" AS VARCHAR), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) AS DOUBLE) / COUNT(analyzed_table."target_column")
    END AS actual_value,

                analyzed_table.grouping_level_1,

                analyzed_table.grouping_level_2

FROM (
    SELECT
        original_table.*,
    original_table."country" AS grouping_level_1,
    original_table."state" AS grouping_level_2
    FROM "your_trino_catalog"."<target_schema>"."<target_table>" original_table
) analyzed_table
GROUP BY grouping_level_1, grouping_level_2
ORDER BY grouping_level_1, grouping_level_2

daily text not matching name pattern percent

Check description

Verifies that the percentage of texts not matching the name regular expression does not exceed the maximum accepted percentage.

Data quality check name Friendly name Category Check type Time scale Quality dimension Sensor definition Quality rule Standard
daily_text_not_matching_name_pattern_percent Maximum percentage of rows not containing texts that are names (e.g. numeric) patterns monitoring daily Validity text_not_matching_name_pattern_percent max_percent

Command-line examples

Please expand the section below to see the DQOps command-line examples to run or activate the daily text not matching name pattern percent data quality check.

Managing daily text not matching name pattern percent check from DQOps shell

Activate this data quality using the check activate CLI command, providing the connection name, table name, check name, and all other filters. Activates the warning rule with the default parameters.

dqo> check activate -c=connection_name -t=schema_name.table_name -col=column_name -ch=daily_text_not_matching_name_pattern_percent --enable-warning

You can also use patterns to activate the check on all matching tables and columns.

dqo> check activate -c=connection_name -t=schema_prefix*.fact_* -col=column_name -ch=daily_text_not_matching_name_pattern_percent --enable-warning

Additional rule parameters are passed using the -Wrule_parameter_name=value.

dqo> check activate -c=connection_name -t=schema_prefix*.fact_* -col=column_name -ch=daily_text_not_matching_name_pattern_percent --enable-warning
                    -Wmax_percent=value

Activate this data quality using the check activate CLI command, providing the connection name, table name, check name, and all other filters. Activates the error rule with the default parameters.

dqo> check activate -c=connection_name -t=schema_name.table_name -col=column_name -ch=daily_text_not_matching_name_pattern_percent --enable-error

You can also use patterns to activate the check on all matching tables and columns.

dqo> check activate -c=connection_name -t=schema_prefix*.fact_* -col=column_name -ch=daily_text_not_matching_name_pattern_percent --enable-error

Additional rule parameters are passed using the -Erule_parameter_name=value.

dqo> check activate -c=connection_name -t=schema_prefix*.fact_* -col=column_name -ch=daily_text_not_matching_name_pattern_percent --enable-error
                    -Emax_percent=value

Run this data quality check using the check run CLI command by providing the check name and all other targeting filters. The following example shows how to run the daily_text_not_matching_name_pattern_percent check on all tables and columns on a single data source.

dqo> check run -c=data_source_name -ch=daily_text_not_matching_name_pattern_percent

It is also possible to run this check on a specific connection and table. In order to do this, use the connection name and the full table name parameters.

dqo> check run -c=connection_name -t=schema_name.table_name -ch=daily_text_not_matching_name_pattern_percent

You can also run this check on all tables (and columns) on which the daily_text_not_matching_name_pattern_percent check is enabled using patterns to find tables.

dqo> check run -c=connection_name -t=schema_prefix*.fact_* -col=column_name_* -ch=daily_text_not_matching_name_pattern_percent

YAML configuration

The sample schema_name.table_name.dqotable.yaml file with the check configured is shown below.

# yaml-language-server: $schema=https://cloud.dqops.com/dqo-yaml-schema/TableYaml-schema.json
apiVersion: dqo/v1
kind: table
spec:
  columns:
    target_column:
      monitoring_checks:
        daily:
          patterns:
            daily_text_not_matching_name_pattern_percent:
              warning:
                max_percent: 0.0
              error:
                max_percent: 1.0
              fatal:
                max_percent: 5.0
      labels:
      - This is the column that is analyzed for data quality issues
Samples of generated SQL queries for each data source type

Please expand the database engine name section to see the SQL query rendered by a Jinja2 template for the text_not_matching_name_pattern_percent data quality sensor.

BigQuery
{% import '/dialects/bigquery.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_CONTAINS(CAST({{ lib.render_target_column('analyzed_table') }} AS STRING), r"^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$")
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table.`target_column`) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_CONTAINS(CAST(analyzed_table.`target_column` AS STRING), r"^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$")
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table.`target_column`)
    END AS actual_value
FROM `your-google-project-id`.`<target_schema>`.`<target_table>` AS analyzed_table
ClickHouse
{% import '/dialects/clickhouse.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT match(toString({{ lib.render_target_column('analyzed_table') }}), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-\'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-\'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-\'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT match(toString(analyzed_table."target_column"), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-\'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-\'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-\'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value
FROM "<target_schema>"."<target_table>" AS analyzed_table
Databricks
{% import '/dialects/databricks.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} REGEXP "^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$"
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table.`target_column`) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT analyzed_table.`target_column` REGEXP "^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$"
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table.`target_column`)
    END AS actual_value
FROM `<target_schema>`.`<target_table>` AS analyzed_table
DB2
{% import '/dialects/db2.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE({{ lib.render_target_column('analyzed_table') }}, '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(analyzed_table."target_column", '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value
FROM (
    SELECT
        original_table.*
    FROM "<target_schema>"."<target_table>" original_table
) analyzed_table
DuckDB
{% import '/dialects/duckdb.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_MATCHES({{ lib.render_target_column('analyzed_table') }}, '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_MATCHES(analyzed_table."target_column", '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value
FROM  AS analyzed_table
HANA
{% import '/dialects/hana.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN CAST({{ lib.render_target_column('analyzed_table') }} AS VARCHAR) NOT LIKE_REGEXPR '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN CAST(analyzed_table."target_column" AS VARCHAR) NOT LIKE_REGEXPR '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value
FROM (
    SELECT
        original_table.*
    FROM "<target_schema>"."<target_table>" original_table
) analyzed_table
MariaDB
{% import '/dialects/mariadb.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_regex(lib.render_target_column('analyzed_table'), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([ \t\n\r\f\v''-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.]))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([ \t\n\r\f\v''-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([ \t\n\r\f\v''-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$') }}
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table.`target_column`) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT 
    analyzed_table.`target_column` RLIKE '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([  

-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.]))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([   

-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([   

-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$'

                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table.`target_column`)
    END AS actual_value
FROM `<target_table>` AS analyzed_table
MySQL
{% import '/dialects/mysql.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_regex(lib.render_target_column('analyzed_table'), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([ \t\n\r\f\v''-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.]))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([ \t\n\r\f\v''-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([ \t\n\r\f\v''-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$') }}
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table.`target_column`) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(analyzed_table.`target_column`, '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([  

-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.]))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([   

-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([   

-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table.`target_column`)
    END AS actual_value
FROM `<target_table>` AS analyzed_table
Oracle
{% import '/dialects/oracle.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE({{ lib.render_target_column('analyzed_table') }}, '^[[:alpha:] .''-]{2,}(\s.[[:alpha:] .''-]{2,})+$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(analyzed_table."target_column", '^[[:alpha:] .''-]{2,}(\s.[[:alpha:] .''-]{2,})+$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value
FROM (
    SELECT
        original_table.*
    FROM "<target_schema>"."<target_table>" original_table
) analyzed_table
PostgreSQL
{% import '/dialects/postgresql.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} ~ '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT analyzed_table."target_column" ~ '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value
FROM "your_postgresql_database"."<target_schema>"."<target_table>" AS analyzed_table
Presto
{% import '/dialects/presto.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE CAST(100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(CAST({{ lib.render_target_column('analyzed_table') }} AS VARCHAR), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) AS DOUBLE) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE CAST(100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(CAST(analyzed_table."target_column" AS VARCHAR), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) AS DOUBLE) / COUNT(analyzed_table."target_column")
    END AS actual_value
FROM (
    SELECT
        original_table.*
    FROM "your_trino_database"."<target_schema>"."<target_table>" original_table
) analyzed_table
QuestDB
{% import '/dialects/questdb.sql.jinja2' as lib with context -%}
SELECT
    COALESCE(100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} ~ '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s''-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s''.-]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s''.-]?)((a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }}), 100.0)
    AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM(
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
    WHERE {{ lib.render_target_column('original_table') }} IS NOT NULL
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    COALESCE(100.0 * SUM(
            CASE
                WHEN NOT analyzed_table."target_column" ~ '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s''-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s''.-]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s''.-]?)((a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column"), 100.0)
    AS actual_value
FROM(
    SELECT
        original_table.*
    FROM "<target_table>" original_table
    WHERE original_table."target_column" IS NOT NULL
) analyzed_table
Redshift
{% import '/dialects/redshift.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} ~ '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT analyzed_table."target_column" ~ '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value
FROM "your_redshift_database"."<target_schema>"."<target_table>" AS analyzed_table
Snowflake
{% import '/dialects/snowflake.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} REGEXP '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT analyzed_table."target_column" REGEXP '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value
FROM "your_snowflake_database"."<target_schema>"."<target_table>" AS analyzed_table
Spark
{% import '/dialects/spark.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} REGEXP "^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$"
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table.`target_column`) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT analyzed_table.`target_column` REGEXP "^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$"
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table.`target_column`)
    END AS actual_value
FROM `<target_schema>`.`<target_table>` AS analyzed_table
SQL Server
{% import '/dialects/sqlserver.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT_BIG({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN {{ lib.render_target_column('analyzed_table') }} LIKE '%[^ -~]%'
                    THEN 1
                ELSE 0
            END
        ) / COUNT_BIG({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT_BIG(analyzed_table.[target_column]) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN analyzed_table.[target_column] LIKE '%[^ -~]%'
                    THEN 1
                ELSE 0
            END
        ) / COUNT_BIG(analyzed_table.[target_column])
    END AS actual_value
FROM [your_sql_server_database].[<target_schema>].[<target_table>] AS analyzed_table
Teradata
{% import '/dialects/teradata.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN {{ lib.render_target_column('analyzed_table') }} IS NOT NULL AND
                        REGEXP_SUBSTR({{ lib.render_target_column('analyzed_table') }}, '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-''])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-''.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-''.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$') IS NULL
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN analyzed_table."target_column" IS NOT NULL AND
                        REGEXP_SUBSTR(analyzed_table."target_column", '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-''])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-''.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-''.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$') IS NULL
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value
FROM "<target_schema>"."<target_table>" AS analyzed_table
Trino
{% import '/dialects/trino.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE CAST(100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(CAST({{ lib.render_target_column('analyzed_table') }} AS VARCHAR), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) AS DOUBLE) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE CAST(100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(CAST(analyzed_table."target_column" AS VARCHAR), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) AS DOUBLE) / COUNT(analyzed_table."target_column")
    END AS actual_value
FROM (
    SELECT
        original_table.*
    FROM "your_trino_catalog"."<target_schema>"."<target_table>" original_table
) analyzed_table

Expand the Configure with data grouping section to see additional examples for configuring this data quality checks to use data grouping (GROUP BY).

Configuration with data grouping

Sample configuration with data grouping enabled (YAML) The sample below shows how to configure the data grouping and how it affects the generated SQL query.

# yaml-language-server: $schema=https://cloud.dqops.com/dqo-yaml-schema/TableYaml-schema.json
apiVersion: dqo/v1
kind: table
spec:
  default_grouping_name: group_by_country_and_state
  groupings:
    group_by_country_and_state:
      level_1:
        source: column_value
        column: country
      level_2:
        source: column_value
        column: state
  columns:
    target_column:
      monitoring_checks:
        daily:
          patterns:
            daily_text_not_matching_name_pattern_percent:
              warning:
                max_percent: 0.0
              error:
                max_percent: 1.0
              fatal:
                max_percent: 5.0
      labels:
      - This is the column that is analyzed for data quality issues
    country:
      labels:
      - column used as the first grouping key
    state:
      labels:
      - column used as the second grouping key

Please expand the database engine name section to see the SQL query rendered by a Jinja2 template for the text_not_matching_name_pattern_percent sensor.

BigQuery
{% import '/dialects/bigquery.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_CONTAINS(CAST({{ lib.render_target_column('analyzed_table') }} AS STRING), r"^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$")
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table.`target_column`) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_CONTAINS(CAST(analyzed_table.`target_column` AS STRING), r"^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$")
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table.`target_column`)
    END AS actual_value,
    analyzed_table.`country` AS grouping_level_1,
    analyzed_table.`state` AS grouping_level_2
FROM `your-google-project-id`.`<target_schema>`.`<target_table>` AS analyzed_table
GROUP BY grouping_level_1, grouping_level_2
ORDER BY grouping_level_1, grouping_level_2
ClickHouse
{% import '/dialects/clickhouse.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT match(toString({{ lib.render_target_column('analyzed_table') }}), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-\'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-\'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-\'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT match(toString(analyzed_table."target_column"), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-\'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-\'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-\'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,
    analyzed_table."country" AS grouping_level_1,
    analyzed_table."state" AS grouping_level_2
FROM "<target_schema>"."<target_table>" AS analyzed_table
GROUP BY grouping_level_1, grouping_level_2
ORDER BY grouping_level_1, grouping_level_2
Databricks
{% import '/dialects/databricks.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} REGEXP "^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$"
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table.`target_column`) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT analyzed_table.`target_column` REGEXP "^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$"
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table.`target_column`)
    END AS actual_value,
    analyzed_table.`country` AS grouping_level_1,
    analyzed_table.`state` AS grouping_level_2
FROM `<target_schema>`.`<target_table>` AS analyzed_table
GROUP BY grouping_level_1, grouping_level_2
ORDER BY grouping_level_1, grouping_level_2
DB2
{% import '/dialects/db2.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE({{ lib.render_target_column('analyzed_table') }}, '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(analyzed_table."target_column", '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,

                analyzed_table.grouping_level_1,

                analyzed_table.grouping_level_2
FROM (
    SELECT
        original_table.*,
    original_table."country" AS grouping_level_1,
    original_table."state" AS grouping_level_2
    FROM "<target_schema>"."<target_table>" original_table
) analyzed_table
GROUP BY grouping_level_1, grouping_level_2
ORDER BY grouping_level_1, grouping_level_2
DuckDB
{% import '/dialects/duckdb.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_MATCHES({{ lib.render_target_column('analyzed_table') }}, '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_MATCHES(analyzed_table."target_column", '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,
    analyzed_table."country" AS grouping_level_1,
    analyzed_table."state" AS grouping_level_2
FROM  AS analyzed_table
GROUP BY grouping_level_1, grouping_level_2
ORDER BY grouping_level_1, grouping_level_2
HANA
{% import '/dialects/hana.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN CAST({{ lib.render_target_column('analyzed_table') }} AS VARCHAR) NOT LIKE_REGEXPR '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN CAST(analyzed_table."target_column" AS VARCHAR) NOT LIKE_REGEXPR '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,

                analyzed_table.grouping_level_1,

                analyzed_table.grouping_level_2
FROM (
    SELECT
        original_table.*,
    original_table."country" AS grouping_level_1,
    original_table."state" AS grouping_level_2
    FROM "<target_schema>"."<target_table>" original_table
) analyzed_table
GROUP BY grouping_level_1, grouping_level_2
ORDER BY grouping_level_1, grouping_level_2
MariaDB
{% import '/dialects/mariadb.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_regex(lib.render_target_column('analyzed_table'), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([ \t\n\r\f\v''-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.]))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([ \t\n\r\f\v''-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([ \t\n\r\f\v''-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$') }}
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table.`target_column`) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT 
    analyzed_table.`target_column` RLIKE '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([  

-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.]))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([   

-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([   

-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$'

                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table.`target_column`)
    END AS actual_value,
    analyzed_table.`country` AS grouping_level_1,
    analyzed_table.`state` AS grouping_level_2
FROM `<target_table>` AS analyzed_table
GROUP BY grouping_level_1, grouping_level_2
ORDER BY grouping_level_1, grouping_level_2
MySQL
{% import '/dialects/mysql.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_regex(lib.render_target_column('analyzed_table'), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([ \t\n\r\f\v''-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.]))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([ \t\n\r\f\v''-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([ \t\n\r\f\v''-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$') }}
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table.`target_column`) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(analyzed_table.`target_column`, '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([  

-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.]))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([   

-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([   

-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table.`target_column`)
    END AS actual_value,
    analyzed_table.`country` AS grouping_level_1,
    analyzed_table.`state` AS grouping_level_2
FROM `<target_table>` AS analyzed_table
GROUP BY grouping_level_1, grouping_level_2
ORDER BY grouping_level_1, grouping_level_2
Oracle
{% import '/dialects/oracle.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE({{ lib.render_target_column('analyzed_table') }}, '^[[:alpha:] .''-]{2,}(\s.[[:alpha:] .''-]{2,})+$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(analyzed_table."target_column", '^[[:alpha:] .''-]{2,}(\s.[[:alpha:] .''-]{2,})+$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,

                analyzed_table.grouping_level_1,

                analyzed_table.grouping_level_2

FROM (
    SELECT
        original_table.*,
    original_table."country" AS grouping_level_1,
    original_table."state" AS grouping_level_2
    FROM "<target_schema>"."<target_table>" original_table
) analyzed_table
GROUP BY grouping_level_1, grouping_level_2
ORDER BY grouping_level_1, grouping_level_2
PostgreSQL
{% import '/dialects/postgresql.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} ~ '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT analyzed_table."target_column" ~ '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,
    analyzed_table."country" AS grouping_level_1,
    analyzed_table."state" AS grouping_level_2
FROM "your_postgresql_database"."<target_schema>"."<target_table>" AS analyzed_table
GROUP BY grouping_level_1, grouping_level_2
ORDER BY grouping_level_1, grouping_level_2
Presto
{% import '/dialects/presto.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE CAST(100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(CAST({{ lib.render_target_column('analyzed_table') }} AS VARCHAR), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) AS DOUBLE) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE CAST(100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(CAST(analyzed_table."target_column" AS VARCHAR), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) AS DOUBLE) / COUNT(analyzed_table."target_column")
    END AS actual_value,

                analyzed_table.grouping_level_1,

                analyzed_table.grouping_level_2

FROM (
    SELECT
        original_table.*,
    original_table."country" AS grouping_level_1,
    original_table."state" AS grouping_level_2
    FROM "your_trino_database"."<target_schema>"."<target_table>" original_table
) analyzed_table
GROUP BY grouping_level_1, grouping_level_2
ORDER BY grouping_level_1, grouping_level_2
QuestDB
{% import '/dialects/questdb.sql.jinja2' as lib with context -%}
SELECT
    COALESCE(100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} ~ '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s''-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s''.-]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s''.-]?)((a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }}), 100.0)
    AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM(
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
    WHERE {{ lib.render_target_column('original_table') }} IS NOT NULL
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    COALESCE(100.0 * SUM(
            CASE
                WHEN NOT analyzed_table."target_column" ~ '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s''-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s''.-]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s''.-]?)((a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column"), 100.0)
    AS actual_value,

                analyzed_table.grouping_level_1,

                analyzed_table.grouping_level_2
FROM(
    SELECT
        original_table.*,
    original_table."country" AS grouping_level_1,
    original_table."state" AS grouping_level_2
    FROM "<target_table>" original_table
    WHERE original_table."target_column" IS NOT NULL
) analyzed_table
GROUP BY grouping_level_1, grouping_level_2
ORDER BY grouping_level_1, grouping_level_2
Redshift
{% import '/dialects/redshift.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} ~ '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT analyzed_table."target_column" ~ '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,
    analyzed_table."country" AS grouping_level_1,
    analyzed_table."state" AS grouping_level_2
FROM "your_redshift_database"."<target_schema>"."<target_table>" AS analyzed_table
GROUP BY grouping_level_1, grouping_level_2
ORDER BY grouping_level_1, grouping_level_2
Snowflake
{% import '/dialects/snowflake.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} REGEXP '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT analyzed_table."target_column" REGEXP '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,
    analyzed_table."country" AS grouping_level_1,
    analyzed_table."state" AS grouping_level_2
FROM "your_snowflake_database"."<target_schema>"."<target_table>" AS analyzed_table
GROUP BY grouping_level_1, grouping_level_2
ORDER BY grouping_level_1, grouping_level_2
Spark
{% import '/dialects/spark.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} REGEXP "^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$"
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table.`target_column`) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT analyzed_table.`target_column` REGEXP "^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$"
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table.`target_column`)
    END AS actual_value,
    analyzed_table.`country` AS grouping_level_1,
    analyzed_table.`state` AS grouping_level_2
FROM `<target_schema>`.`<target_table>` AS analyzed_table
GROUP BY grouping_level_1, grouping_level_2
ORDER BY grouping_level_1, grouping_level_2
SQL Server
{% import '/dialects/sqlserver.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT_BIG({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN {{ lib.render_target_column('analyzed_table') }} LIKE '%[^ -~]%'
                    THEN 1
                ELSE 0
            END
        ) / COUNT_BIG({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT_BIG(analyzed_table.[target_column]) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN analyzed_table.[target_column] LIKE '%[^ -~]%'
                    THEN 1
                ELSE 0
            END
        ) / COUNT_BIG(analyzed_table.[target_column])
    END AS actual_value,
    analyzed_table.[country] AS grouping_level_1,
    analyzed_table.[state] AS grouping_level_2
FROM [your_sql_server_database].[<target_schema>].[<target_table>] AS analyzed_table
GROUP BY analyzed_table.[country], analyzed_table.[state]
ORDER BY level_1, level_2
        , 
Teradata
{% import '/dialects/teradata.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN {{ lib.render_target_column('analyzed_table') }} IS NOT NULL AND
                        REGEXP_SUBSTR({{ lib.render_target_column('analyzed_table') }}, '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-''])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-''.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-''.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$') IS NULL
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN analyzed_table."target_column" IS NOT NULL AND
                        REGEXP_SUBSTR(analyzed_table."target_column", '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-''])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-''.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-''.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$') IS NULL
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,
    analyzed_table."country" AS grouping_level_1,
    analyzed_table."state" AS grouping_level_2
FROM "<target_schema>"."<target_table>" AS analyzed_table
GROUP BY grouping_level_1, grouping_level_2
ORDER BY grouping_level_1, grouping_level_2
Trino
{% import '/dialects/trino.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE CAST(100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(CAST({{ lib.render_target_column('analyzed_table') }} AS VARCHAR), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) AS DOUBLE) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE CAST(100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(CAST(analyzed_table."target_column" AS VARCHAR), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) AS DOUBLE) / COUNT(analyzed_table."target_column")
    END AS actual_value,

                analyzed_table.grouping_level_1,

                analyzed_table.grouping_level_2

FROM (
    SELECT
        original_table.*,
    original_table."country" AS grouping_level_1,
    original_table."state" AS grouping_level_2
    FROM "your_trino_catalog"."<target_schema>"."<target_table>" original_table
) analyzed_table
GROUP BY grouping_level_1, grouping_level_2
ORDER BY grouping_level_1, grouping_level_2

monthly text not matching name pattern percent

Check description

Verifies that the percentage of texts not matching the name regular expression does not exceed the maximum accepted percentage.

Data quality check name Friendly name Category Check type Time scale Quality dimension Sensor definition Quality rule Standard
monthly_text_not_matching_name_pattern_percent Maximum percentage of rows not containing texts that are names (e.g. numeric) patterns monitoring monthly Validity text_not_matching_name_pattern_percent max_percent

Command-line examples

Please expand the section below to see the DQOps command-line examples to run or activate the monthly text not matching name pattern percent data quality check.

Managing monthly text not matching name pattern percent check from DQOps shell

Activate this data quality using the check activate CLI command, providing the connection name, table name, check name, and all other filters. Activates the warning rule with the default parameters.

dqo> check activate -c=connection_name -t=schema_name.table_name -col=column_name -ch=monthly_text_not_matching_name_pattern_percent --enable-warning

You can also use patterns to activate the check on all matching tables and columns.

dqo> check activate -c=connection_name -t=schema_prefix*.fact_* -col=column_name -ch=monthly_text_not_matching_name_pattern_percent --enable-warning

Additional rule parameters are passed using the -Wrule_parameter_name=value.

dqo> check activate -c=connection_name -t=schema_prefix*.fact_* -col=column_name -ch=monthly_text_not_matching_name_pattern_percent --enable-warning
                    -Wmax_percent=value

Activate this data quality using the check activate CLI command, providing the connection name, table name, check name, and all other filters. Activates the error rule with the default parameters.

dqo> check activate -c=connection_name -t=schema_name.table_name -col=column_name -ch=monthly_text_not_matching_name_pattern_percent --enable-error

You can also use patterns to activate the check on all matching tables and columns.

dqo> check activate -c=connection_name -t=schema_prefix*.fact_* -col=column_name -ch=monthly_text_not_matching_name_pattern_percent --enable-error

Additional rule parameters are passed using the -Erule_parameter_name=value.

dqo> check activate -c=connection_name -t=schema_prefix*.fact_* -col=column_name -ch=monthly_text_not_matching_name_pattern_percent --enable-error
                    -Emax_percent=value

Run this data quality check using the check run CLI command by providing the check name and all other targeting filters. The following example shows how to run the monthly_text_not_matching_name_pattern_percent check on all tables and columns on a single data source.

dqo> check run -c=data_source_name -ch=monthly_text_not_matching_name_pattern_percent

It is also possible to run this check on a specific connection and table. In order to do this, use the connection name and the full table name parameters.

dqo> check run -c=connection_name -t=schema_name.table_name -ch=monthly_text_not_matching_name_pattern_percent

You can also run this check on all tables (and columns) on which the monthly_text_not_matching_name_pattern_percent check is enabled using patterns to find tables.

dqo> check run -c=connection_name -t=schema_prefix*.fact_* -col=column_name_* -ch=monthly_text_not_matching_name_pattern_percent

YAML configuration

The sample schema_name.table_name.dqotable.yaml file with the check configured is shown below.

# yaml-language-server: $schema=https://cloud.dqops.com/dqo-yaml-schema/TableYaml-schema.json
apiVersion: dqo/v1
kind: table
spec:
  columns:
    target_column:
      monitoring_checks:
        monthly:
          patterns:
            monthly_text_not_matching_name_pattern_percent:
              warning:
                max_percent: 0.0
              error:
                max_percent: 1.0
              fatal:
                max_percent: 5.0
      labels:
      - This is the column that is analyzed for data quality issues
Samples of generated SQL queries for each data source type

Please expand the database engine name section to see the SQL query rendered by a Jinja2 template for the text_not_matching_name_pattern_percent data quality sensor.

BigQuery
{% import '/dialects/bigquery.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_CONTAINS(CAST({{ lib.render_target_column('analyzed_table') }} AS STRING), r"^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$")
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table.`target_column`) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_CONTAINS(CAST(analyzed_table.`target_column` AS STRING), r"^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$")
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table.`target_column`)
    END AS actual_value
FROM `your-google-project-id`.`<target_schema>`.`<target_table>` AS analyzed_table
ClickHouse
{% import '/dialects/clickhouse.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT match(toString({{ lib.render_target_column('analyzed_table') }}), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-\'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-\'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-\'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT match(toString(analyzed_table."target_column"), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-\'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-\'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-\'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value
FROM "<target_schema>"."<target_table>" AS analyzed_table
Databricks
{% import '/dialects/databricks.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} REGEXP "^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$"
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table.`target_column`) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT analyzed_table.`target_column` REGEXP "^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$"
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table.`target_column`)
    END AS actual_value
FROM `<target_schema>`.`<target_table>` AS analyzed_table
DB2
{% import '/dialects/db2.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE({{ lib.render_target_column('analyzed_table') }}, '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(analyzed_table."target_column", '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value
FROM (
    SELECT
        original_table.*
    FROM "<target_schema>"."<target_table>" original_table
) analyzed_table
DuckDB
{% import '/dialects/duckdb.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_MATCHES({{ lib.render_target_column('analyzed_table') }}, '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_MATCHES(analyzed_table."target_column", '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value
FROM  AS analyzed_table
HANA
{% import '/dialects/hana.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN CAST({{ lib.render_target_column('analyzed_table') }} AS VARCHAR) NOT LIKE_REGEXPR '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN CAST(analyzed_table."target_column" AS VARCHAR) NOT LIKE_REGEXPR '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value
FROM (
    SELECT
        original_table.*
    FROM "<target_schema>"."<target_table>" original_table
) analyzed_table
MariaDB
{% import '/dialects/mariadb.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_regex(lib.render_target_column('analyzed_table'), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([ \t\n\r\f\v''-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.]))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([ \t\n\r\f\v''-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([ \t\n\r\f\v''-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$') }}
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table.`target_column`) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT 
    analyzed_table.`target_column` RLIKE '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([  

-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.]))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([   

-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([   

-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$'

                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table.`target_column`)
    END AS actual_value
FROM `<target_table>` AS analyzed_table
MySQL
{% import '/dialects/mysql.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_regex(lib.render_target_column('analyzed_table'), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([ \t\n\r\f\v''-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.]))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([ \t\n\r\f\v''-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([ \t\n\r\f\v''-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$') }}
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table.`target_column`) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(analyzed_table.`target_column`, '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([  

-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.]))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([   

-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([   

-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table.`target_column`)
    END AS actual_value
FROM `<target_table>` AS analyzed_table
Oracle
{% import '/dialects/oracle.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE({{ lib.render_target_column('analyzed_table') }}, '^[[:alpha:] .''-]{2,}(\s.[[:alpha:] .''-]{2,})+$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(analyzed_table."target_column", '^[[:alpha:] .''-]{2,}(\s.[[:alpha:] .''-]{2,})+$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value
FROM (
    SELECT
        original_table.*
    FROM "<target_schema>"."<target_table>" original_table
) analyzed_table
PostgreSQL
{% import '/dialects/postgresql.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} ~ '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT analyzed_table."target_column" ~ '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value
FROM "your_postgresql_database"."<target_schema>"."<target_table>" AS analyzed_table
Presto
{% import '/dialects/presto.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE CAST(100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(CAST({{ lib.render_target_column('analyzed_table') }} AS VARCHAR), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) AS DOUBLE) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE CAST(100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(CAST(analyzed_table."target_column" AS VARCHAR), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) AS DOUBLE) / COUNT(analyzed_table."target_column")
    END AS actual_value
FROM (
    SELECT
        original_table.*
    FROM "your_trino_database"."<target_schema>"."<target_table>" original_table
) analyzed_table
QuestDB
{% import '/dialects/questdb.sql.jinja2' as lib with context -%}
SELECT
    COALESCE(100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} ~ '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s''-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s''.-]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s''.-]?)((a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }}), 100.0)
    AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM(
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
    WHERE {{ lib.render_target_column('original_table') }} IS NOT NULL
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    COALESCE(100.0 * SUM(
            CASE
                WHEN NOT analyzed_table."target_column" ~ '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s''-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s''.-]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s''.-]?)((a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column"), 100.0)
    AS actual_value
FROM(
    SELECT
        original_table.*
    FROM "<target_table>" original_table
    WHERE original_table."target_column" IS NOT NULL
) analyzed_table
Redshift
{% import '/dialects/redshift.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} ~ '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT analyzed_table."target_column" ~ '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value
FROM "your_redshift_database"."<target_schema>"."<target_table>" AS analyzed_table
Snowflake
{% import '/dialects/snowflake.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} REGEXP '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT analyzed_table."target_column" REGEXP '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value
FROM "your_snowflake_database"."<target_schema>"."<target_table>" AS analyzed_table
Spark
{% import '/dialects/spark.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} REGEXP "^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$"
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table.`target_column`) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT analyzed_table.`target_column` REGEXP "^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$"
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table.`target_column`)
    END AS actual_value
FROM `<target_schema>`.`<target_table>` AS analyzed_table
SQL Server
{% import '/dialects/sqlserver.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT_BIG({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN {{ lib.render_target_column('analyzed_table') }} LIKE '%[^ -~]%'
                    THEN 1
                ELSE 0
            END
        ) / COUNT_BIG({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT_BIG(analyzed_table.[target_column]) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN analyzed_table.[target_column] LIKE '%[^ -~]%'
                    THEN 1
                ELSE 0
            END
        ) / COUNT_BIG(analyzed_table.[target_column])
    END AS actual_value
FROM [your_sql_server_database].[<target_schema>].[<target_table>] AS analyzed_table
Teradata
{% import '/dialects/teradata.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN {{ lib.render_target_column('analyzed_table') }} IS NOT NULL AND
                        REGEXP_SUBSTR({{ lib.render_target_column('analyzed_table') }}, '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-''])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-''.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-''.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$') IS NULL
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN analyzed_table."target_column" IS NOT NULL AND
                        REGEXP_SUBSTR(analyzed_table."target_column", '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-''])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-''.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-''.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$') IS NULL
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value
FROM "<target_schema>"."<target_table>" AS analyzed_table
Trino
{% import '/dialects/trino.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE CAST(100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(CAST({{ lib.render_target_column('analyzed_table') }} AS VARCHAR), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) AS DOUBLE) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE CAST(100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(CAST(analyzed_table."target_column" AS VARCHAR), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) AS DOUBLE) / COUNT(analyzed_table."target_column")
    END AS actual_value
FROM (
    SELECT
        original_table.*
    FROM "your_trino_catalog"."<target_schema>"."<target_table>" original_table
) analyzed_table

Expand the Configure with data grouping section to see additional examples for configuring this data quality checks to use data grouping (GROUP BY).

Configuration with data grouping

Sample configuration with data grouping enabled (YAML) The sample below shows how to configure the data grouping and how it affects the generated SQL query.

# yaml-language-server: $schema=https://cloud.dqops.com/dqo-yaml-schema/TableYaml-schema.json
apiVersion: dqo/v1
kind: table
spec:
  default_grouping_name: group_by_country_and_state
  groupings:
    group_by_country_and_state:
      level_1:
        source: column_value
        column: country
      level_2:
        source: column_value
        column: state
  columns:
    target_column:
      monitoring_checks:
        monthly:
          patterns:
            monthly_text_not_matching_name_pattern_percent:
              warning:
                max_percent: 0.0
              error:
                max_percent: 1.0
              fatal:
                max_percent: 5.0
      labels:
      - This is the column that is analyzed for data quality issues
    country:
      labels:
      - column used as the first grouping key
    state:
      labels:
      - column used as the second grouping key

Please expand the database engine name section to see the SQL query rendered by a Jinja2 template for the text_not_matching_name_pattern_percent sensor.

BigQuery
{% import '/dialects/bigquery.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_CONTAINS(CAST({{ lib.render_target_column('analyzed_table') }} AS STRING), r"^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$")
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table.`target_column`) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_CONTAINS(CAST(analyzed_table.`target_column` AS STRING), r"^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$")
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table.`target_column`)
    END AS actual_value,
    analyzed_table.`country` AS grouping_level_1,
    analyzed_table.`state` AS grouping_level_2
FROM `your-google-project-id`.`<target_schema>`.`<target_table>` AS analyzed_table
GROUP BY grouping_level_1, grouping_level_2
ORDER BY grouping_level_1, grouping_level_2
ClickHouse
{% import '/dialects/clickhouse.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT match(toString({{ lib.render_target_column('analyzed_table') }}), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-\'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-\'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-\'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT match(toString(analyzed_table."target_column"), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-\'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-\'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-\'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,
    analyzed_table."country" AS grouping_level_1,
    analyzed_table."state" AS grouping_level_2
FROM "<target_schema>"."<target_table>" AS analyzed_table
GROUP BY grouping_level_1, grouping_level_2
ORDER BY grouping_level_1, grouping_level_2
Databricks
{% import '/dialects/databricks.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} REGEXP "^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$"
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table.`target_column`) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT analyzed_table.`target_column` REGEXP "^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$"
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table.`target_column`)
    END AS actual_value,
    analyzed_table.`country` AS grouping_level_1,
    analyzed_table.`state` AS grouping_level_2
FROM `<target_schema>`.`<target_table>` AS analyzed_table
GROUP BY grouping_level_1, grouping_level_2
ORDER BY grouping_level_1, grouping_level_2
DB2
{% import '/dialects/db2.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE({{ lib.render_target_column('analyzed_table') }}, '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(analyzed_table."target_column", '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,

                analyzed_table.grouping_level_1,

                analyzed_table.grouping_level_2
FROM (
    SELECT
        original_table.*,
    original_table."country" AS grouping_level_1,
    original_table."state" AS grouping_level_2
    FROM "<target_schema>"."<target_table>" original_table
) analyzed_table
GROUP BY grouping_level_1, grouping_level_2
ORDER BY grouping_level_1, grouping_level_2
DuckDB
{% import '/dialects/duckdb.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_MATCHES({{ lib.render_target_column('analyzed_table') }}, '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_MATCHES(analyzed_table."target_column", '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,
    analyzed_table."country" AS grouping_level_1,
    analyzed_table."state" AS grouping_level_2
FROM  AS analyzed_table
GROUP BY grouping_level_1, grouping_level_2
ORDER BY grouping_level_1, grouping_level_2
HANA
{% import '/dialects/hana.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN CAST({{ lib.render_target_column('analyzed_table') }} AS VARCHAR) NOT LIKE_REGEXPR '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN CAST(analyzed_table."target_column" AS VARCHAR) NOT LIKE_REGEXPR '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,

                analyzed_table.grouping_level_1,

                analyzed_table.grouping_level_2
FROM (
    SELECT
        original_table.*,
    original_table."country" AS grouping_level_1,
    original_table."state" AS grouping_level_2
    FROM "<target_schema>"."<target_table>" original_table
) analyzed_table
GROUP BY grouping_level_1, grouping_level_2
ORDER BY grouping_level_1, grouping_level_2
MariaDB
{% import '/dialects/mariadb.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_regex(lib.render_target_column('analyzed_table'), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([ \t\n\r\f\v''-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.]))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([ \t\n\r\f\v''-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([ \t\n\r\f\v''-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$') }}
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table.`target_column`) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT 
    analyzed_table.`target_column` RLIKE '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([  

-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.]))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([   

-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([   

-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$'

                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table.`target_column`)
    END AS actual_value,
    analyzed_table.`country` AS grouping_level_1,
    analyzed_table.`state` AS grouping_level_2
FROM `<target_table>` AS analyzed_table
GROUP BY grouping_level_1, grouping_level_2
ORDER BY grouping_level_1, grouping_level_2
MySQL
{% import '/dialects/mysql.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_regex(lib.render_target_column('analyzed_table'), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([ \t\n\r\f\v''-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.]))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([ \t\n\r\f\v''-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([ \t\n\r\f\v''-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$') }}
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table.`target_column`) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(analyzed_table.`target_column`, '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([  

-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.]))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([   

-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([   

-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table.`target_column`)
    END AS actual_value,
    analyzed_table.`country` AS grouping_level_1,
    analyzed_table.`state` AS grouping_level_2
FROM `<target_table>` AS analyzed_table
GROUP BY grouping_level_1, grouping_level_2
ORDER BY grouping_level_1, grouping_level_2
Oracle
{% import '/dialects/oracle.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE({{ lib.render_target_column('analyzed_table') }}, '^[[:alpha:] .''-]{2,}(\s.[[:alpha:] .''-]{2,})+$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(analyzed_table."target_column", '^[[:alpha:] .''-]{2,}(\s.[[:alpha:] .''-]{2,})+$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,

                analyzed_table.grouping_level_1,

                analyzed_table.grouping_level_2

FROM (
    SELECT
        original_table.*,
    original_table."country" AS grouping_level_1,
    original_table."state" AS grouping_level_2
    FROM "<target_schema>"."<target_table>" original_table
) analyzed_table
GROUP BY grouping_level_1, grouping_level_2
ORDER BY grouping_level_1, grouping_level_2
PostgreSQL
{% import '/dialects/postgresql.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} ~ '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT analyzed_table."target_column" ~ '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,
    analyzed_table."country" AS grouping_level_1,
    analyzed_table."state" AS grouping_level_2
FROM "your_postgresql_database"."<target_schema>"."<target_table>" AS analyzed_table
GROUP BY grouping_level_1, grouping_level_2
ORDER BY grouping_level_1, grouping_level_2
Presto
{% import '/dialects/presto.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE CAST(100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(CAST({{ lib.render_target_column('analyzed_table') }} AS VARCHAR), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) AS DOUBLE) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE CAST(100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(CAST(analyzed_table."target_column" AS VARCHAR), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) AS DOUBLE) / COUNT(analyzed_table."target_column")
    END AS actual_value,

                analyzed_table.grouping_level_1,

                analyzed_table.grouping_level_2

FROM (
    SELECT
        original_table.*,
    original_table."country" AS grouping_level_1,
    original_table."state" AS grouping_level_2
    FROM "your_trino_database"."<target_schema>"."<target_table>" original_table
) analyzed_table
GROUP BY grouping_level_1, grouping_level_2
ORDER BY grouping_level_1, grouping_level_2
QuestDB
{% import '/dialects/questdb.sql.jinja2' as lib with context -%}
SELECT
    COALESCE(100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} ~ '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s''-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s''.-]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s''.-]?)((a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }}), 100.0)
    AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM(
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
    WHERE {{ lib.render_target_column('original_table') }} IS NOT NULL
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    COALESCE(100.0 * SUM(
            CASE
                WHEN NOT analyzed_table."target_column" ~ '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s''-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s''.-]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s''.-]?)((a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column"), 100.0)
    AS actual_value,

                analyzed_table.grouping_level_1,

                analyzed_table.grouping_level_2
FROM(
    SELECT
        original_table.*,
    original_table."country" AS grouping_level_1,
    original_table."state" AS grouping_level_2
    FROM "<target_table>" original_table
    WHERE original_table."target_column" IS NOT NULL
) analyzed_table
GROUP BY grouping_level_1, grouping_level_2
ORDER BY grouping_level_1, grouping_level_2
Redshift
{% import '/dialects/redshift.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} ~ '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT analyzed_table."target_column" ~ '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,
    analyzed_table."country" AS grouping_level_1,
    analyzed_table."state" AS grouping_level_2
FROM "your_redshift_database"."<target_schema>"."<target_table>" AS analyzed_table
GROUP BY grouping_level_1, grouping_level_2
ORDER BY grouping_level_1, grouping_level_2
Snowflake
{% import '/dialects/snowflake.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} REGEXP '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT analyzed_table."target_column" REGEXP '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,
    analyzed_table."country" AS grouping_level_1,
    analyzed_table."state" AS grouping_level_2
FROM "your_snowflake_database"."<target_schema>"."<target_table>" AS analyzed_table
GROUP BY grouping_level_1, grouping_level_2
ORDER BY grouping_level_1, grouping_level_2
Spark
{% import '/dialects/spark.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} REGEXP "^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$"
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table.`target_column`) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT analyzed_table.`target_column` REGEXP "^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$"
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table.`target_column`)
    END AS actual_value,
    analyzed_table.`country` AS grouping_level_1,
    analyzed_table.`state` AS grouping_level_2
FROM `<target_schema>`.`<target_table>` AS analyzed_table
GROUP BY grouping_level_1, grouping_level_2
ORDER BY grouping_level_1, grouping_level_2
SQL Server
{% import '/dialects/sqlserver.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT_BIG({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN {{ lib.render_target_column('analyzed_table') }} LIKE '%[^ -~]%'
                    THEN 1
                ELSE 0
            END
        ) / COUNT_BIG({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT_BIG(analyzed_table.[target_column]) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN analyzed_table.[target_column] LIKE '%[^ -~]%'
                    THEN 1
                ELSE 0
            END
        ) / COUNT_BIG(analyzed_table.[target_column])
    END AS actual_value,
    analyzed_table.[country] AS grouping_level_1,
    analyzed_table.[state] AS grouping_level_2
FROM [your_sql_server_database].[<target_schema>].[<target_table>] AS analyzed_table
GROUP BY analyzed_table.[country], analyzed_table.[state]
ORDER BY level_1, level_2
        , 
Teradata
{% import '/dialects/teradata.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN {{ lib.render_target_column('analyzed_table') }} IS NOT NULL AND
                        REGEXP_SUBSTR({{ lib.render_target_column('analyzed_table') }}, '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-''])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-''.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-''.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$') IS NULL
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN analyzed_table."target_column" IS NOT NULL AND
                        REGEXP_SUBSTR(analyzed_table."target_column", '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-''])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-''.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-''.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$') IS NULL
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,
    analyzed_table."country" AS grouping_level_1,
    analyzed_table."state" AS grouping_level_2
FROM "<target_schema>"."<target_table>" AS analyzed_table
GROUP BY grouping_level_1, grouping_level_2
ORDER BY grouping_level_1, grouping_level_2
Trino
{% import '/dialects/trino.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE CAST(100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(CAST({{ lib.render_target_column('analyzed_table') }} AS VARCHAR), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) AS DOUBLE) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE CAST(100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(CAST(analyzed_table."target_column" AS VARCHAR), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) AS DOUBLE) / COUNT(analyzed_table."target_column")
    END AS actual_value,

                analyzed_table.grouping_level_1,

                analyzed_table.grouping_level_2

FROM (
    SELECT
        original_table.*,
    original_table."country" AS grouping_level_1,
    original_table."state" AS grouping_level_2
    FROM "your_trino_catalog"."<target_schema>"."<target_table>" original_table
) analyzed_table
GROUP BY grouping_level_1, grouping_level_2
ORDER BY grouping_level_1, grouping_level_2

daily partition text not matching name pattern percent

Check description

Verifies that the percentage of texts matching the name regular expression does not exceed the maximum accepted percentage.

Data quality check name Friendly name Category Check type Time scale Quality dimension Sensor definition Quality rule Standard
daily_partition_text_not_matching_name_pattern_percent Maximum percentage of rows not containing texts that are names (e.g. numeric) patterns partitioned daily Validity text_not_matching_name_pattern_percent max_percent

Command-line examples

Please expand the section below to see the DQOps command-line examples to run or activate the daily partition text not matching name pattern percent data quality check.

Managing daily partition text not matching name pattern percent check from DQOps shell

Activate this data quality using the check activate CLI command, providing the connection name, table name, check name, and all other filters. Activates the warning rule with the default parameters.

dqo> check activate -c=connection_name -t=schema_name.table_name -col=column_name -ch=daily_partition_text_not_matching_name_pattern_percent --enable-warning

You can also use patterns to activate the check on all matching tables and columns.

dqo> check activate -c=connection_name -t=schema_prefix*.fact_* -col=column_name -ch=daily_partition_text_not_matching_name_pattern_percent --enable-warning

Additional rule parameters are passed using the -Wrule_parameter_name=value.

dqo> check activate -c=connection_name -t=schema_prefix*.fact_* -col=column_name -ch=daily_partition_text_not_matching_name_pattern_percent --enable-warning
                    -Wmax_percent=value

Activate this data quality using the check activate CLI command, providing the connection name, table name, check name, and all other filters. Activates the error rule with the default parameters.

dqo> check activate -c=connection_name -t=schema_name.table_name -col=column_name -ch=daily_partition_text_not_matching_name_pattern_percent --enable-error

You can also use patterns to activate the check on all matching tables and columns.

dqo> check activate -c=connection_name -t=schema_prefix*.fact_* -col=column_name -ch=daily_partition_text_not_matching_name_pattern_percent --enable-error

Additional rule parameters are passed using the -Erule_parameter_name=value.

dqo> check activate -c=connection_name -t=schema_prefix*.fact_* -col=column_name -ch=daily_partition_text_not_matching_name_pattern_percent --enable-error
                    -Emax_percent=value

Run this data quality check using the check run CLI command by providing the check name and all other targeting filters. The following example shows how to run the daily_partition_text_not_matching_name_pattern_percent check on all tables and columns on a single data source.

dqo> check run -c=data_source_name -ch=daily_partition_text_not_matching_name_pattern_percent

It is also possible to run this check on a specific connection and table. In order to do this, use the connection name and the full table name parameters.

dqo> check run -c=connection_name -t=schema_name.table_name -ch=daily_partition_text_not_matching_name_pattern_percent

You can also run this check on all tables (and columns) on which the daily_partition_text_not_matching_name_pattern_percent check is enabled using patterns to find tables.

dqo> check run -c=connection_name -t=schema_prefix*.fact_* -col=column_name_* -ch=daily_partition_text_not_matching_name_pattern_percent

YAML configuration

The sample schema_name.table_name.dqotable.yaml file with the check configured is shown below.

# yaml-language-server: $schema=https://cloud.dqops.com/dqo-yaml-schema/TableYaml-schema.json
apiVersion: dqo/v1
kind: table
spec:
  timestamp_columns:
    partition_by_column: date_column
  incremental_time_window:
    daily_partitioning_recent_days: 7
    monthly_partitioning_recent_months: 1
  columns:
    target_column:
      partitioned_checks:
        daily:
          patterns:
            daily_partition_text_not_matching_name_pattern_percent:
              warning:
                max_percent: 0.0
              error:
                max_percent: 1.0
              fatal:
                max_percent: 5.0
      labels:
      - This is the column that is analyzed for data quality issues
    date_column:
      labels:
      - "date or datetime column used as a daily or monthly partitioning key, dates\
        \ (and times) are truncated to a day or a month by the sensor's query for\
        \ partitioned checks"
Samples of generated SQL queries for each data source type

Please expand the database engine name section to see the SQL query rendered by a Jinja2 template for the text_not_matching_name_pattern_percent data quality sensor.

BigQuery
{% import '/dialects/bigquery.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_CONTAINS(CAST({{ lib.render_target_column('analyzed_table') }} AS STRING), r"^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$")
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table.`target_column`) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_CONTAINS(CAST(analyzed_table.`target_column` AS STRING), r"^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$")
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table.`target_column`)
    END AS actual_value,
    CAST(analyzed_table.`date_column` AS DATE) AS time_period,
    TIMESTAMP(CAST(analyzed_table.`date_column` AS DATE)) AS time_period_utc
FROM `your-google-project-id`.`<target_schema>`.`<target_table>` AS analyzed_table
GROUP BY time_period, time_period_utc
ORDER BY time_period, time_period_utc
ClickHouse
{% import '/dialects/clickhouse.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT match(toString({{ lib.render_target_column('analyzed_table') }}), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-\'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-\'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-\'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT match(toString(analyzed_table."target_column"), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-\'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-\'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-\'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,
    CAST(analyzed_table."date_column" AS DATE) AS time_period,
    toDateTime64(CAST(analyzed_table."date_column" AS DATE), 3) AS time_period_utc
FROM "<target_schema>"."<target_table>" AS analyzed_table
GROUP BY time_period, time_period_utc
ORDER BY time_period, time_period_utc
Databricks
{% import '/dialects/databricks.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} REGEXP "^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$"
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table.`target_column`) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT analyzed_table.`target_column` REGEXP "^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$"
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table.`target_column`)
    END AS actual_value,
    CAST(analyzed_table.`date_column` AS DATE) AS time_period,
    TIMESTAMP(CAST(analyzed_table.`date_column` AS DATE)) AS time_period_utc
FROM `<target_schema>`.`<target_table>` AS analyzed_table
GROUP BY time_period, time_period_utc
ORDER BY time_period, time_period_utc
DB2
{% import '/dialects/db2.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE({{ lib.render_target_column('analyzed_table') }}, '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(analyzed_table."target_column", '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,
    time_period,
    time_period_utc
FROM (
    SELECT
        original_table.*,
    CAST(original_table."date_column" AS DATE) AS time_period,
    TIMESTAMP(CAST(original_table."date_column" AS DATE)) AS time_period_utc
    FROM "<target_schema>"."<target_table>" original_table
) analyzed_table
GROUP BY time_period, time_period_utc
ORDER BY time_period, time_period_utc
DuckDB
{% import '/dialects/duckdb.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_MATCHES({{ lib.render_target_column('analyzed_table') }}, '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_MATCHES(analyzed_table."target_column", '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,
    CAST(analyzed_table."date_column" AS date) AS time_period,
    CAST((CAST(analyzed_table."date_column" AS date)) AS TIMESTAMP WITH TIME ZONE) AS time_period_utc
FROM  AS analyzed_table
GROUP BY time_period, time_period_utc
ORDER BY time_period, time_period_utc
HANA
{% import '/dialects/hana.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN CAST({{ lib.render_target_column('analyzed_table') }} AS VARCHAR) NOT LIKE_REGEXPR '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN CAST(analyzed_table."target_column" AS VARCHAR) NOT LIKE_REGEXPR '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,
    time_period,
    time_period_utc
FROM (
    SELECT
        original_table.*,
    CAST(original_table."date_column" AS DATE) AS time_period,
    TO_TIMESTAMP(CAST(original_table."date_column" AS DATE)) AS time_period_utc
    FROM "<target_schema>"."<target_table>" original_table
) analyzed_table
GROUP BY time_period, time_period_utc
ORDER BY time_period, time_period_utc
MariaDB
{% import '/dialects/mariadb.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_regex(lib.render_target_column('analyzed_table'), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([ \t\n\r\f\v''-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.]))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([ \t\n\r\f\v''-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([ \t\n\r\f\v''-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$') }}
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table.`target_column`) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT 
    analyzed_table.`target_column` RLIKE '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([  

-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.]))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([   

-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([   

-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$'

                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table.`target_column`)
    END AS actual_value,
    DATE_FORMAT(analyzed_table.`date_column`, '%Y-%m-%d 00:00:00') AS time_period,
    FROM_UNIXTIME(UNIX_TIMESTAMP(DATE_FORMAT(analyzed_table.`date_column`, '%Y-%m-%d 00:00:00'))) AS time_period_utc
FROM `<target_table>` AS analyzed_table
GROUP BY time_period, time_period_utc
ORDER BY time_period, time_period_utc
MySQL
{% import '/dialects/mysql.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_regex(lib.render_target_column('analyzed_table'), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([ \t\n\r\f\v''-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.]))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([ \t\n\r\f\v''-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([ \t\n\r\f\v''-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$') }}
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table.`target_column`) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(analyzed_table.`target_column`, '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([  

-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.]))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([   

-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([   

-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table.`target_column`)
    END AS actual_value,
    DATE_FORMAT(analyzed_table.`date_column`, '%Y-%m-%d 00:00:00') AS time_period,
    FROM_UNIXTIME(UNIX_TIMESTAMP(DATE_FORMAT(analyzed_table.`date_column`, '%Y-%m-%d 00:00:00'))) AS time_period_utc
FROM `<target_table>` AS analyzed_table
GROUP BY time_period, time_period_utc
ORDER BY time_period, time_period_utc
Oracle
{% import '/dialects/oracle.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE({{ lib.render_target_column('analyzed_table') }}, '^[[:alpha:] .''-]{2,}(\s.[[:alpha:] .''-]{2,})+$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(analyzed_table."target_column", '^[[:alpha:] .''-]{2,}(\s.[[:alpha:] .''-]{2,})+$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,
    time_period,
    time_period_utc
FROM (
    SELECT
        original_table.*,
    TRUNC(CAST(original_table."date_column" AS DATE)) AS time_period,
    CAST(TRUNC(CAST(original_table."date_column" AS DATE)) AS TIMESTAMP WITH TIME ZONE) AS time_period_utc
    FROM "<target_schema>"."<target_table>" original_table
) analyzed_table
GROUP BY time_period, time_period_utc
ORDER BY time_period, time_period_utc
PostgreSQL
{% import '/dialects/postgresql.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} ~ '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT analyzed_table."target_column" ~ '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,
    CAST(analyzed_table."date_column" AS date) AS time_period,
    CAST((CAST(analyzed_table."date_column" AS date)) AS TIMESTAMP WITH TIME ZONE) AS time_period_utc
FROM "your_postgresql_database"."<target_schema>"."<target_table>" AS analyzed_table
GROUP BY time_period, time_period_utc
ORDER BY time_period, time_period_utc
Presto
{% import '/dialects/presto.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE CAST(100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(CAST({{ lib.render_target_column('analyzed_table') }} AS VARCHAR), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) AS DOUBLE) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE CAST(100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(CAST(analyzed_table."target_column" AS VARCHAR), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) AS DOUBLE) / COUNT(analyzed_table."target_column")
    END AS actual_value,
    time_period,
    time_period_utc
FROM (
    SELECT
        original_table.*,
    CAST(original_table."date_column" AS date) AS time_period,
    CAST(CAST(original_table."date_column" AS date) AS TIMESTAMP) AS time_period_utc
    FROM "your_trino_database"."<target_schema>"."<target_table>" original_table
) analyzed_table
GROUP BY time_period, time_period_utc
ORDER BY time_period, time_period_utc
QuestDB
{% import '/dialects/questdb.sql.jinja2' as lib with context -%}
SELECT
    COALESCE(100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} ~ '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s''-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s''.-]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s''.-]?)((a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }}), 100.0)
    AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM(
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
    WHERE {{ lib.render_target_column('original_table') }} IS NOT NULL
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    COALESCE(100.0 * SUM(
            CASE
                WHEN NOT analyzed_table."target_column" ~ '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s''-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s''.-]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s''.-]?)((a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column"), 100.0)
    AS actual_value,
    time_period,
    time_period_utc
FROM(
    SELECT
        original_table.*,
    CAST(DATE_TRUNC('day', original_table."date_column") AS DATE) AS time_period,
    CAST((CAST(DATE_TRUNC('day', original_table."date_column") AS DATE)) AS TIMESTAMP WITH TIME ZONE) AS time_period_utc
    FROM "<target_table>" original_table
    WHERE original_table."target_column" IS NOT NULL
) analyzed_table
GROUP BY time_period, time_period_utc
ORDER BY time_period, time_period_utc
Redshift
{% import '/dialects/redshift.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} ~ '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT analyzed_table."target_column" ~ '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,
    CAST(analyzed_table."date_column" AS date) AS time_period,
    CAST((CAST(analyzed_table."date_column" AS date)) AS TIMESTAMP WITH TIME ZONE) AS time_period_utc
FROM "your_redshift_database"."<target_schema>"."<target_table>" AS analyzed_table
GROUP BY time_period, time_period_utc
ORDER BY time_period, time_period_utc
Snowflake
{% import '/dialects/snowflake.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} REGEXP '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT analyzed_table."target_column" REGEXP '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,
    CAST(analyzed_table."date_column" AS date) AS time_period,
    TO_TIMESTAMP(CAST(analyzed_table."date_column" AS date)) AS time_period_utc
FROM "your_snowflake_database"."<target_schema>"."<target_table>" AS analyzed_table
GROUP BY time_period, time_period_utc
ORDER BY time_period, time_period_utc
Spark
{% import '/dialects/spark.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} REGEXP "^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$"
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table.`target_column`) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT analyzed_table.`target_column` REGEXP "^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$"
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table.`target_column`)
    END AS actual_value,
    CAST(analyzed_table.`date_column` AS DATE) AS time_period,
    TIMESTAMP(CAST(analyzed_table.`date_column` AS DATE)) AS time_period_utc
FROM `<target_schema>`.`<target_table>` AS analyzed_table
GROUP BY time_period, time_period_utc
ORDER BY time_period, time_period_utc
SQL Server
{% import '/dialects/sqlserver.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT_BIG({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN {{ lib.render_target_column('analyzed_table') }} LIKE '%[^ -~]%'
                    THEN 1
                ELSE 0
            END
        ) / COUNT_BIG({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT_BIG(analyzed_table.[target_column]) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN analyzed_table.[target_column] LIKE '%[^ -~]%'
                    THEN 1
                ELSE 0
            END
        ) / COUNT_BIG(analyzed_table.[target_column])
    END AS actual_value,
    CAST(analyzed_table.[date_column] AS date) AS time_period,
    CAST((CAST(analyzed_table.[date_column] AS date)) AS DATETIME) AS time_period_utc
FROM [your_sql_server_database].[<target_schema>].[<target_table>] AS analyzed_table
GROUP BY CAST(analyzed_table.[date_column] AS date), CAST(analyzed_table.[date_column] AS date)
ORDER BY CAST(analyzed_table.[date_column] AS date)
Teradata
{% import '/dialects/teradata.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN {{ lib.render_target_column('analyzed_table') }} IS NOT NULL AND
                        REGEXP_SUBSTR({{ lib.render_target_column('analyzed_table') }}, '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-''])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-''.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-''.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$') IS NULL
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN analyzed_table."target_column" IS NOT NULL AND
                        REGEXP_SUBSTR(analyzed_table."target_column", '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-''])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-''.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-''.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$') IS NULL
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,
    CAST(analyzed_table."date_column" AS DATE) AS time_period,
    CAST(CAST(analyzed_table."date_column" AS DATE) AS TIMESTAMP) AS time_period_utc
FROM "<target_schema>"."<target_table>" AS analyzed_table
GROUP BY time_period, time_period_utc
ORDER BY time_period, time_period_utc
Trino
{% import '/dialects/trino.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE CAST(100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(CAST({{ lib.render_target_column('analyzed_table') }} AS VARCHAR), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) AS DOUBLE) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE CAST(100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(CAST(analyzed_table."target_column" AS VARCHAR), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) AS DOUBLE) / COUNT(analyzed_table."target_column")
    END AS actual_value,
    time_period,
    time_period_utc
FROM (
    SELECT
        original_table.*,
    CAST(original_table."date_column" AS date) AS time_period,
    CAST(CAST(original_table."date_column" AS date) AS TIMESTAMP) AS time_period_utc
    FROM "your_trino_catalog"."<target_schema>"."<target_table>" original_table
) analyzed_table
GROUP BY time_period, time_period_utc
ORDER BY time_period, time_period_utc

Expand the Configure with data grouping section to see additional examples for configuring this data quality checks to use data grouping (GROUP BY).

Configuration with data grouping

Sample configuration with data grouping enabled (YAML) The sample below shows how to configure the data grouping and how it affects the generated SQL query.

# yaml-language-server: $schema=https://cloud.dqops.com/dqo-yaml-schema/TableYaml-schema.json
apiVersion: dqo/v1
kind: table
spec:
  timestamp_columns:
    partition_by_column: date_column
  incremental_time_window:
    daily_partitioning_recent_days: 7
    monthly_partitioning_recent_months: 1
  default_grouping_name: group_by_country_and_state
  groupings:
    group_by_country_and_state:
      level_1:
        source: column_value
        column: country
      level_2:
        source: column_value
        column: state
  columns:
    target_column:
      partitioned_checks:
        daily:
          patterns:
            daily_partition_text_not_matching_name_pattern_percent:
              warning:
                max_percent: 0.0
              error:
                max_percent: 1.0
              fatal:
                max_percent: 5.0
      labels:
      - This is the column that is analyzed for data quality issues
    date_column:
      labels:
      - "date or datetime column used as a daily or monthly partitioning key, dates\
        \ (and times) are truncated to a day or a month by the sensor's query for\
        \ partitioned checks"
    country:
      labels:
      - column used as the first grouping key
    state:
      labels:
      - column used as the second grouping key

Please expand the database engine name section to see the SQL query rendered by a Jinja2 template for the text_not_matching_name_pattern_percent sensor.

BigQuery
{% import '/dialects/bigquery.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_CONTAINS(CAST({{ lib.render_target_column('analyzed_table') }} AS STRING), r"^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$")
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table.`target_column`) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_CONTAINS(CAST(analyzed_table.`target_column` AS STRING), r"^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$")
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table.`target_column`)
    END AS actual_value,
    analyzed_table.`country` AS grouping_level_1,
    analyzed_table.`state` AS grouping_level_2,
    CAST(analyzed_table.`date_column` AS DATE) AS time_period,
    TIMESTAMP(CAST(analyzed_table.`date_column` AS DATE)) AS time_period_utc
FROM `your-google-project-id`.`<target_schema>`.`<target_table>` AS analyzed_table
GROUP BY grouping_level_1, grouping_level_2, time_period, time_period_utc
ORDER BY grouping_level_1, grouping_level_2, time_period, time_period_utc
ClickHouse
{% import '/dialects/clickhouse.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT match(toString({{ lib.render_target_column('analyzed_table') }}), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-\'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-\'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-\'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT match(toString(analyzed_table."target_column"), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-\'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-\'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-\'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,
    analyzed_table."country" AS grouping_level_1,
    analyzed_table."state" AS grouping_level_2,
    CAST(analyzed_table."date_column" AS DATE) AS time_period,
    toDateTime64(CAST(analyzed_table."date_column" AS DATE), 3) AS time_period_utc
FROM "<target_schema>"."<target_table>" AS analyzed_table
GROUP BY grouping_level_1, grouping_level_2, time_period, time_period_utc
ORDER BY grouping_level_1, grouping_level_2, time_period, time_period_utc
Databricks
{% import '/dialects/databricks.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} REGEXP "^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$"
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table.`target_column`) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT analyzed_table.`target_column` REGEXP "^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$"
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table.`target_column`)
    END AS actual_value,
    analyzed_table.`country` AS grouping_level_1,
    analyzed_table.`state` AS grouping_level_2,
    CAST(analyzed_table.`date_column` AS DATE) AS time_period,
    TIMESTAMP(CAST(analyzed_table.`date_column` AS DATE)) AS time_period_utc
FROM `<target_schema>`.`<target_table>` AS analyzed_table
GROUP BY grouping_level_1, grouping_level_2, time_period, time_period_utc
ORDER BY grouping_level_1, grouping_level_2, time_period, time_period_utc
DB2
{% import '/dialects/db2.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE({{ lib.render_target_column('analyzed_table') }}, '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(analyzed_table."target_column", '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,

                analyzed_table.grouping_level_1,

                analyzed_table.grouping_level_2,
    time_period,
    time_period_utc
FROM (
    SELECT
        original_table.*,
    original_table."country" AS grouping_level_1,
    original_table."state" AS grouping_level_2,
    CAST(original_table."date_column" AS DATE) AS time_period,
    TIMESTAMP(CAST(original_table."date_column" AS DATE)) AS time_period_utc
    FROM "<target_schema>"."<target_table>" original_table
) analyzed_table
GROUP BY grouping_level_1, grouping_level_2, time_period, time_period_utc
ORDER BY grouping_level_1, grouping_level_2, time_period, time_period_utc
DuckDB
{% import '/dialects/duckdb.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_MATCHES({{ lib.render_target_column('analyzed_table') }}, '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_MATCHES(analyzed_table."target_column", '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,
    analyzed_table."country" AS grouping_level_1,
    analyzed_table."state" AS grouping_level_2,
    CAST(analyzed_table."date_column" AS date) AS time_period,
    CAST((CAST(analyzed_table."date_column" AS date)) AS TIMESTAMP WITH TIME ZONE) AS time_period_utc
FROM  AS analyzed_table
GROUP BY grouping_level_1, grouping_level_2, time_period, time_period_utc
ORDER BY grouping_level_1, grouping_level_2, time_period, time_period_utc
HANA
{% import '/dialects/hana.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN CAST({{ lib.render_target_column('analyzed_table') }} AS VARCHAR) NOT LIKE_REGEXPR '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN CAST(analyzed_table."target_column" AS VARCHAR) NOT LIKE_REGEXPR '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,

                analyzed_table.grouping_level_1,

                analyzed_table.grouping_level_2,
    time_period,
    time_period_utc
FROM (
    SELECT
        original_table.*,
    original_table."country" AS grouping_level_1,
    original_table."state" AS grouping_level_2,
    CAST(original_table."date_column" AS DATE) AS time_period,
    TO_TIMESTAMP(CAST(original_table."date_column" AS DATE)) AS time_period_utc
    FROM "<target_schema>"."<target_table>" original_table
) analyzed_table
GROUP BY grouping_level_1, grouping_level_2, time_period, time_period_utc
ORDER BY grouping_level_1, grouping_level_2, time_period, time_period_utc
MariaDB
{% import '/dialects/mariadb.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_regex(lib.render_target_column('analyzed_table'), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([ \t\n\r\f\v''-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.]))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([ \t\n\r\f\v''-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([ \t\n\r\f\v''-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$') }}
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table.`target_column`) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT 
    analyzed_table.`target_column` RLIKE '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([  

-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.]))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([   

-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([   

-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$'

                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table.`target_column`)
    END AS actual_value,
    analyzed_table.`country` AS grouping_level_1,
    analyzed_table.`state` AS grouping_level_2,
    DATE_FORMAT(analyzed_table.`date_column`, '%Y-%m-%d 00:00:00') AS time_period,
    FROM_UNIXTIME(UNIX_TIMESTAMP(DATE_FORMAT(analyzed_table.`date_column`, '%Y-%m-%d 00:00:00'))) AS time_period_utc
FROM `<target_table>` AS analyzed_table
GROUP BY grouping_level_1, grouping_level_2, time_period, time_period_utc
ORDER BY grouping_level_1, grouping_level_2, time_period, time_period_utc
MySQL
{% import '/dialects/mysql.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_regex(lib.render_target_column('analyzed_table'), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([ \t\n\r\f\v''-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.]))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([ \t\n\r\f\v''-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([ \t\n\r\f\v''-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$') }}
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table.`target_column`) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(analyzed_table.`target_column`, '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([  

-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.]))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([   

-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([   

-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table.`target_column`)
    END AS actual_value,
    analyzed_table.`country` AS grouping_level_1,
    analyzed_table.`state` AS grouping_level_2,
    DATE_FORMAT(analyzed_table.`date_column`, '%Y-%m-%d 00:00:00') AS time_period,
    FROM_UNIXTIME(UNIX_TIMESTAMP(DATE_FORMAT(analyzed_table.`date_column`, '%Y-%m-%d 00:00:00'))) AS time_period_utc
FROM `<target_table>` AS analyzed_table
GROUP BY grouping_level_1, grouping_level_2, time_period, time_period_utc
ORDER BY grouping_level_1, grouping_level_2, time_period, time_period_utc
Oracle
{% import '/dialects/oracle.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE({{ lib.render_target_column('analyzed_table') }}, '^[[:alpha:] .''-]{2,}(\s.[[:alpha:] .''-]{2,})+$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(analyzed_table."target_column", '^[[:alpha:] .''-]{2,}(\s.[[:alpha:] .''-]{2,})+$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,

                analyzed_table.grouping_level_1,

                analyzed_table.grouping_level_2
,
    time_period,
    time_period_utc
FROM (
    SELECT
        original_table.*,
    original_table."country" AS grouping_level_1,
    original_table."state" AS grouping_level_2,
    TRUNC(CAST(original_table."date_column" AS DATE)) AS time_period,
    CAST(TRUNC(CAST(original_table."date_column" AS DATE)) AS TIMESTAMP WITH TIME ZONE) AS time_period_utc
    FROM "<target_schema>"."<target_table>" original_table
) analyzed_table
GROUP BY grouping_level_1, grouping_level_2, time_period, time_period_utc
ORDER BY grouping_level_1, grouping_level_2, time_period, time_period_utc
PostgreSQL
{% import '/dialects/postgresql.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} ~ '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT analyzed_table."target_column" ~ '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,
    analyzed_table."country" AS grouping_level_1,
    analyzed_table."state" AS grouping_level_2,
    CAST(analyzed_table."date_column" AS date) AS time_period,
    CAST((CAST(analyzed_table."date_column" AS date)) AS TIMESTAMP WITH TIME ZONE) AS time_period_utc
FROM "your_postgresql_database"."<target_schema>"."<target_table>" AS analyzed_table
GROUP BY grouping_level_1, grouping_level_2, time_period, time_period_utc
ORDER BY grouping_level_1, grouping_level_2, time_period, time_period_utc
Presto
{% import '/dialects/presto.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE CAST(100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(CAST({{ lib.render_target_column('analyzed_table') }} AS VARCHAR), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) AS DOUBLE) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE CAST(100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(CAST(analyzed_table."target_column" AS VARCHAR), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) AS DOUBLE) / COUNT(analyzed_table."target_column")
    END AS actual_value,

                analyzed_table.grouping_level_1,

                analyzed_table.grouping_level_2
,
    time_period,
    time_period_utc
FROM (
    SELECT
        original_table.*,
    original_table."country" AS grouping_level_1,
    original_table."state" AS grouping_level_2,
    CAST(original_table."date_column" AS date) AS time_period,
    CAST(CAST(original_table."date_column" AS date) AS TIMESTAMP) AS time_period_utc
    FROM "your_trino_database"."<target_schema>"."<target_table>" original_table
) analyzed_table
GROUP BY grouping_level_1, grouping_level_2, time_period, time_period_utc
ORDER BY grouping_level_1, grouping_level_2, time_period, time_period_utc
QuestDB
{% import '/dialects/questdb.sql.jinja2' as lib with context -%}
SELECT
    COALESCE(100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} ~ '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s''-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s''.-]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s''.-]?)((a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }}), 100.0)
    AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM(
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
    WHERE {{ lib.render_target_column('original_table') }} IS NOT NULL
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    COALESCE(100.0 * SUM(
            CASE
                WHEN NOT analyzed_table."target_column" ~ '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s''-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s''.-]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s''.-]?)((a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column"), 100.0)
    AS actual_value,

                analyzed_table.grouping_level_1,

                analyzed_table.grouping_level_2,
    time_period,
    time_period_utc
FROM(
    SELECT
        original_table.*,
    original_table."country" AS grouping_level_1,
    original_table."state" AS grouping_level_2,
    CAST(DATE_TRUNC('day', original_table."date_column") AS DATE) AS time_period,
    CAST((CAST(DATE_TRUNC('day', original_table."date_column") AS DATE)) AS TIMESTAMP WITH TIME ZONE) AS time_period_utc
    FROM "<target_table>" original_table
    WHERE original_table."target_column" IS NOT NULL
) analyzed_table
GROUP BY grouping_level_1, grouping_level_2, time_period, time_period_utc
ORDER BY grouping_level_1, grouping_level_2, time_period, time_period_utc
Redshift
{% import '/dialects/redshift.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} ~ '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT analyzed_table."target_column" ~ '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,
    analyzed_table."country" AS grouping_level_1,
    analyzed_table."state" AS grouping_level_2,
    CAST(analyzed_table."date_column" AS date) AS time_period,
    CAST((CAST(analyzed_table."date_column" AS date)) AS TIMESTAMP WITH TIME ZONE) AS time_period_utc
FROM "your_redshift_database"."<target_schema>"."<target_table>" AS analyzed_table
GROUP BY grouping_level_1, grouping_level_2, time_period, time_period_utc
ORDER BY grouping_level_1, grouping_level_2, time_period, time_period_utc
Snowflake
{% import '/dialects/snowflake.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} REGEXP '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT analyzed_table."target_column" REGEXP '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,
    analyzed_table."country" AS grouping_level_1,
    analyzed_table."state" AS grouping_level_2,
    CAST(analyzed_table."date_column" AS date) AS time_period,
    TO_TIMESTAMP(CAST(analyzed_table."date_column" AS date)) AS time_period_utc
FROM "your_snowflake_database"."<target_schema>"."<target_table>" AS analyzed_table
GROUP BY grouping_level_1, grouping_level_2, time_period, time_period_utc
ORDER BY grouping_level_1, grouping_level_2, time_period, time_period_utc
Spark
{% import '/dialects/spark.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} REGEXP "^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$"
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table.`target_column`) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT analyzed_table.`target_column` REGEXP "^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$"
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table.`target_column`)
    END AS actual_value,
    analyzed_table.`country` AS grouping_level_1,
    analyzed_table.`state` AS grouping_level_2,
    CAST(analyzed_table.`date_column` AS DATE) AS time_period,
    TIMESTAMP(CAST(analyzed_table.`date_column` AS DATE)) AS time_period_utc
FROM `<target_schema>`.`<target_table>` AS analyzed_table
GROUP BY grouping_level_1, grouping_level_2, time_period, time_period_utc
ORDER BY grouping_level_1, grouping_level_2, time_period, time_period_utc
SQL Server
{% import '/dialects/sqlserver.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT_BIG({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN {{ lib.render_target_column('analyzed_table') }} LIKE '%[^ -~]%'
                    THEN 1
                ELSE 0
            END
        ) / COUNT_BIG({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT_BIG(analyzed_table.[target_column]) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN analyzed_table.[target_column] LIKE '%[^ -~]%'
                    THEN 1
                ELSE 0
            END
        ) / COUNT_BIG(analyzed_table.[target_column])
    END AS actual_value,
    analyzed_table.[country] AS grouping_level_1,
    analyzed_table.[state] AS grouping_level_2,
    CAST(analyzed_table.[date_column] AS date) AS time_period,
    CAST((CAST(analyzed_table.[date_column] AS date)) AS DATETIME) AS time_period_utc
FROM [your_sql_server_database].[<target_schema>].[<target_table>] AS analyzed_table
GROUP BY analyzed_table.[country], analyzed_table.[state], CAST(analyzed_table.[date_column] AS date), CAST(analyzed_table.[date_column] AS date)
ORDER BY level_1, level_2CAST(analyzed_table.[date_column] AS date)
Teradata
{% import '/dialects/teradata.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN {{ lib.render_target_column('analyzed_table') }} IS NOT NULL AND
                        REGEXP_SUBSTR({{ lib.render_target_column('analyzed_table') }}, '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-''])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-''.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-''.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$') IS NULL
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN analyzed_table."target_column" IS NOT NULL AND
                        REGEXP_SUBSTR(analyzed_table."target_column", '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-''])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-''.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-''.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$') IS NULL
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,
    analyzed_table."country" AS grouping_level_1,
    analyzed_table."state" AS grouping_level_2,
    CAST(analyzed_table."date_column" AS DATE) AS time_period,
    CAST(CAST(analyzed_table."date_column" AS DATE) AS TIMESTAMP) AS time_period_utc
FROM "<target_schema>"."<target_table>" AS analyzed_table
GROUP BY grouping_level_1, grouping_level_2, time_period, time_period_utc
ORDER BY grouping_level_1, grouping_level_2, time_period, time_period_utc
Trino
{% import '/dialects/trino.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE CAST(100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(CAST({{ lib.render_target_column('analyzed_table') }} AS VARCHAR), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) AS DOUBLE) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE CAST(100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(CAST(analyzed_table."target_column" AS VARCHAR), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) AS DOUBLE) / COUNT(analyzed_table."target_column")
    END AS actual_value,

                analyzed_table.grouping_level_1,

                analyzed_table.grouping_level_2
,
    time_period,
    time_period_utc
FROM (
    SELECT
        original_table.*,
    original_table."country" AS grouping_level_1,
    original_table."state" AS grouping_level_2,
    CAST(original_table."date_column" AS date) AS time_period,
    CAST(CAST(original_table."date_column" AS date) AS TIMESTAMP) AS time_period_utc
    FROM "your_trino_catalog"."<target_schema>"."<target_table>" original_table
) analyzed_table
GROUP BY grouping_level_1, grouping_level_2, time_period, time_period_utc
ORDER BY grouping_level_1, grouping_level_2, time_period, time_period_utc

monthly partition text not matching name pattern percent

Check description

Verifies that the percentage of texts matching the name regular expression does not exceed the maximum accepted percentage.

Data quality check name Friendly name Category Check type Time scale Quality dimension Sensor definition Quality rule Standard
monthly_partition_text_not_matching_name_pattern_percent Maximum percentage of rows not containing texts that are names (e.g. numeric) patterns partitioned monthly Validity text_not_matching_name_pattern_percent max_percent

Command-line examples

Please expand the section below to see the DQOps command-line examples to run or activate the monthly partition text not matching name pattern percent data quality check.

Managing monthly partition text not matching name pattern percent check from DQOps shell

Activate this data quality using the check activate CLI command, providing the connection name, table name, check name, and all other filters. Activates the warning rule with the default parameters.

dqo> check activate -c=connection_name -t=schema_name.table_name -col=column_name -ch=monthly_partition_text_not_matching_name_pattern_percent --enable-warning

You can also use patterns to activate the check on all matching tables and columns.

dqo> check activate -c=connection_name -t=schema_prefix*.fact_* -col=column_name -ch=monthly_partition_text_not_matching_name_pattern_percent --enable-warning

Additional rule parameters are passed using the -Wrule_parameter_name=value.

dqo> check activate -c=connection_name -t=schema_prefix*.fact_* -col=column_name -ch=monthly_partition_text_not_matching_name_pattern_percent --enable-warning
                    -Wmax_percent=value

Activate this data quality using the check activate CLI command, providing the connection name, table name, check name, and all other filters. Activates the error rule with the default parameters.

dqo> check activate -c=connection_name -t=schema_name.table_name -col=column_name -ch=monthly_partition_text_not_matching_name_pattern_percent --enable-error

You can also use patterns to activate the check on all matching tables and columns.

dqo> check activate -c=connection_name -t=schema_prefix*.fact_* -col=column_name -ch=monthly_partition_text_not_matching_name_pattern_percent --enable-error

Additional rule parameters are passed using the -Erule_parameter_name=value.

dqo> check activate -c=connection_name -t=schema_prefix*.fact_* -col=column_name -ch=monthly_partition_text_not_matching_name_pattern_percent --enable-error
                    -Emax_percent=value

Run this data quality check using the check run CLI command by providing the check name and all other targeting filters. The following example shows how to run the monthly_partition_text_not_matching_name_pattern_percent check on all tables and columns on a single data source.

dqo> check run -c=data_source_name -ch=monthly_partition_text_not_matching_name_pattern_percent

It is also possible to run this check on a specific connection and table. In order to do this, use the connection name and the full table name parameters.

dqo> check run -c=connection_name -t=schema_name.table_name -ch=monthly_partition_text_not_matching_name_pattern_percent

You can also run this check on all tables (and columns) on which the monthly_partition_text_not_matching_name_pattern_percent check is enabled using patterns to find tables.

dqo> check run -c=connection_name -t=schema_prefix*.fact_* -col=column_name_* -ch=monthly_partition_text_not_matching_name_pattern_percent

YAML configuration

The sample schema_name.table_name.dqotable.yaml file with the check configured is shown below.

# yaml-language-server: $schema=https://cloud.dqops.com/dqo-yaml-schema/TableYaml-schema.json
apiVersion: dqo/v1
kind: table
spec:
  timestamp_columns:
    partition_by_column: date_column
  incremental_time_window:
    daily_partitioning_recent_days: 7
    monthly_partitioning_recent_months: 1
  columns:
    target_column:
      partitioned_checks:
        monthly:
          patterns:
            monthly_partition_text_not_matching_name_pattern_percent:
              warning:
                max_percent: 0.0
              error:
                max_percent: 1.0
              fatal:
                max_percent: 5.0
      labels:
      - This is the column that is analyzed for data quality issues
    date_column:
      labels:
      - "date or datetime column used as a daily or monthly partitioning key, dates\
        \ (and times) are truncated to a day or a month by the sensor's query for\
        \ partitioned checks"
Samples of generated SQL queries for each data source type

Please expand the database engine name section to see the SQL query rendered by a Jinja2 template for the text_not_matching_name_pattern_percent data quality sensor.

BigQuery
{% import '/dialects/bigquery.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_CONTAINS(CAST({{ lib.render_target_column('analyzed_table') }} AS STRING), r"^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$")
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table.`target_column`) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_CONTAINS(CAST(analyzed_table.`target_column` AS STRING), r"^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$")
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table.`target_column`)
    END AS actual_value,
    DATE_TRUNC(CAST(analyzed_table.`date_column` AS DATE), MONTH) AS time_period,
    TIMESTAMP(DATE_TRUNC(CAST(analyzed_table.`date_column` AS DATE), MONTH)) AS time_period_utc
FROM `your-google-project-id`.`<target_schema>`.`<target_table>` AS analyzed_table
GROUP BY time_period, time_period_utc
ORDER BY time_period, time_period_utc
ClickHouse
{% import '/dialects/clickhouse.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT match(toString({{ lib.render_target_column('analyzed_table') }}), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-\'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-\'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-\'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT match(toString(analyzed_table."target_column"), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-\'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-\'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-\'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,
    DATE_TRUNC('month', CAST(analyzed_table."date_column" AS DATE)) AS time_period,
    toDateTime64(DATE_TRUNC('month', CAST(analyzed_table."date_column" AS DATE)), 3) AS time_period_utc
FROM "<target_schema>"."<target_table>" AS analyzed_table
GROUP BY time_period, time_period_utc
ORDER BY time_period, time_period_utc
Databricks
{% import '/dialects/databricks.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} REGEXP "^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$"
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table.`target_column`) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT analyzed_table.`target_column` REGEXP "^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$"
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table.`target_column`)
    END AS actual_value,
    DATE_TRUNC('MONTH', CAST(analyzed_table.`date_column` AS DATE)) AS time_period,
    TIMESTAMP(DATE_TRUNC('MONTH', CAST(analyzed_table.`date_column` AS DATE))) AS time_period_utc
FROM `<target_schema>`.`<target_table>` AS analyzed_table
GROUP BY time_period, time_period_utc
ORDER BY time_period, time_period_utc
DB2
{% import '/dialects/db2.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE({{ lib.render_target_column('analyzed_table') }}, '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(analyzed_table."target_column", '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,
    time_period,
    time_period_utc
FROM (
    SELECT
        original_table.*,
    DATE_TRUNC('MONTH', CAST(original_table."date_column" AS DATE)) AS time_period,
    TIMESTAMP(DATE_TRUNC('MONTH', CAST(original_table."date_column" AS DATE))) AS time_period_utc
    FROM "<target_schema>"."<target_table>" original_table
) analyzed_table
GROUP BY time_period, time_period_utc
ORDER BY time_period, time_period_utc
DuckDB
{% import '/dialects/duckdb.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_MATCHES({{ lib.render_target_column('analyzed_table') }}, '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_MATCHES(analyzed_table."target_column", '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,
    DATE_TRUNC('MONTH', CAST(analyzed_table."date_column" AS date)) AS time_period,
    CAST((DATE_TRUNC('MONTH', CAST(analyzed_table."date_column" AS date))) AS TIMESTAMP WITH TIME ZONE) AS time_period_utc
FROM  AS analyzed_table
GROUP BY time_period, time_period_utc
ORDER BY time_period, time_period_utc
HANA
{% import '/dialects/hana.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN CAST({{ lib.render_target_column('analyzed_table') }} AS VARCHAR) NOT LIKE_REGEXPR '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN CAST(analyzed_table."target_column" AS VARCHAR) NOT LIKE_REGEXPR '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,
    time_period,
    time_period_utc
FROM (
    SELECT
        original_table.*,
    SERIES_ROUND(CAST(original_table."date_column" AS DATE), 'INTERVAL 1 MONTH', ROUND_DOWN) AS time_period,
    TO_TIMESTAMP(SERIES_ROUND(CAST(original_table."date_column" AS DATE), 'INTERVAL 1 MONTH', ROUND_DOWN)) AS time_period_utc
    FROM "<target_schema>"."<target_table>" original_table
) analyzed_table
GROUP BY time_period, time_period_utc
ORDER BY time_period, time_period_utc
MariaDB
{% import '/dialects/mariadb.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_regex(lib.render_target_column('analyzed_table'), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([ \t\n\r\f\v''-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.]))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([ \t\n\r\f\v''-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([ \t\n\r\f\v''-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$') }}
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table.`target_column`) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT 
    analyzed_table.`target_column` RLIKE '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([  

-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.]))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([   

-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([   

-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$'

                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table.`target_column`)
    END AS actual_value,
    DATE_FORMAT(analyzed_table.`date_column`, '%Y-%m-01 00:00:00') AS time_period,
    FROM_UNIXTIME(UNIX_TIMESTAMP(DATE_FORMAT(analyzed_table.`date_column`, '%Y-%m-01 00:00:00'))) AS time_period_utc
FROM `<target_table>` AS analyzed_table
GROUP BY time_period, time_period_utc
ORDER BY time_period, time_period_utc
MySQL
{% import '/dialects/mysql.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_regex(lib.render_target_column('analyzed_table'), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([ \t\n\r\f\v''-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.]))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([ \t\n\r\f\v''-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([ \t\n\r\f\v''-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$') }}
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table.`target_column`) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(analyzed_table.`target_column`, '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([  

-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.]))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([   

-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([   

-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table.`target_column`)
    END AS actual_value,
    DATE_FORMAT(analyzed_table.`date_column`, '%Y-%m-01 00:00:00') AS time_period,
    FROM_UNIXTIME(UNIX_TIMESTAMP(DATE_FORMAT(analyzed_table.`date_column`, '%Y-%m-01 00:00:00'))) AS time_period_utc
FROM `<target_table>` AS analyzed_table
GROUP BY time_period, time_period_utc
ORDER BY time_period, time_period_utc
Oracle
{% import '/dialects/oracle.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE({{ lib.render_target_column('analyzed_table') }}, '^[[:alpha:] .''-]{2,}(\s.[[:alpha:] .''-]{2,})+$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(analyzed_table."target_column", '^[[:alpha:] .''-]{2,}(\s.[[:alpha:] .''-]{2,})+$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,
    time_period,
    time_period_utc
FROM (
    SELECT
        original_table.*,
    TRUNC(CAST(original_table."date_column" AS DATE), 'MONTH') AS time_period,
    CAST(TRUNC(CAST(original_table."date_column" AS DATE), 'MONTH') AS TIMESTAMP WITH TIME ZONE) AS time_period_utc
    FROM "<target_schema>"."<target_table>" original_table
) analyzed_table
GROUP BY time_period, time_period_utc
ORDER BY time_period, time_period_utc
PostgreSQL
{% import '/dialects/postgresql.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} ~ '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT analyzed_table."target_column" ~ '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,
    DATE_TRUNC('MONTH', CAST(analyzed_table."date_column" AS date)) AS time_period,
    CAST((DATE_TRUNC('MONTH', CAST(analyzed_table."date_column" AS date))) AS TIMESTAMP WITH TIME ZONE) AS time_period_utc
FROM "your_postgresql_database"."<target_schema>"."<target_table>" AS analyzed_table
GROUP BY time_period, time_period_utc
ORDER BY time_period, time_period_utc
Presto
{% import '/dialects/presto.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE CAST(100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(CAST({{ lib.render_target_column('analyzed_table') }} AS VARCHAR), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) AS DOUBLE) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE CAST(100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(CAST(analyzed_table."target_column" AS VARCHAR), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) AS DOUBLE) / COUNT(analyzed_table."target_column")
    END AS actual_value,
    time_period,
    time_period_utc
FROM (
    SELECT
        original_table.*,
    DATE_TRUNC('MONTH', CAST(original_table."date_column" AS date)) AS time_period,
    CAST(DATE_TRUNC('MONTH', CAST(original_table."date_column" AS date)) AS TIMESTAMP) AS time_period_utc
    FROM "your_trino_database"."<target_schema>"."<target_table>" original_table
) analyzed_table
GROUP BY time_period, time_period_utc
ORDER BY time_period, time_period_utc
QuestDB
{% import '/dialects/questdb.sql.jinja2' as lib with context -%}
SELECT
    COALESCE(100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} ~ '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s''-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s''.-]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s''.-]?)((a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }}), 100.0)
    AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM(
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
    WHERE {{ lib.render_target_column('original_table') }} IS NOT NULL
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    COALESCE(100.0 * SUM(
            CASE
                WHEN NOT analyzed_table."target_column" ~ '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s''-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s''.-]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s''.-]?)((a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column"), 100.0)
    AS actual_value,
    time_period,
    time_period_utc
FROM(
    SELECT
        original_table.*,
    CAST(DATE_TRUNC('month', original_table."date_column") AS DATE) AS time_period,
    CAST((CAST(DATE_TRUNC('month', original_table."date_column") AS DATE)) AS TIMESTAMP WITH TIME ZONE) AS time_period_utc
    FROM "<target_table>" original_table
    WHERE original_table."target_column" IS NOT NULL
) analyzed_table
GROUP BY time_period, time_period_utc
ORDER BY time_period, time_period_utc
Redshift
{% import '/dialects/redshift.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} ~ '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT analyzed_table."target_column" ~ '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,
    DATE_TRUNC('MONTH', CAST(analyzed_table."date_column" AS date)) AS time_period,
    CAST((DATE_TRUNC('MONTH', CAST(analyzed_table."date_column" AS date))) AS TIMESTAMP WITH TIME ZONE) AS time_period_utc
FROM "your_redshift_database"."<target_schema>"."<target_table>" AS analyzed_table
GROUP BY time_period, time_period_utc
ORDER BY time_period, time_period_utc
Snowflake
{% import '/dialects/snowflake.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} REGEXP '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT analyzed_table."target_column" REGEXP '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,
    DATE_TRUNC('MONTH', CAST(analyzed_table."date_column" AS date)) AS time_period,
    TO_TIMESTAMP(DATE_TRUNC('MONTH', CAST(analyzed_table."date_column" AS date))) AS time_period_utc
FROM "your_snowflake_database"."<target_schema>"."<target_table>" AS analyzed_table
GROUP BY time_period, time_period_utc
ORDER BY time_period, time_period_utc
Spark
{% import '/dialects/spark.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} REGEXP "^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$"
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table.`target_column`) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT analyzed_table.`target_column` REGEXP "^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$"
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table.`target_column`)
    END AS actual_value,
    DATE_TRUNC('MONTH', CAST(analyzed_table.`date_column` AS DATE)) AS time_period,
    TIMESTAMP(DATE_TRUNC('MONTH', CAST(analyzed_table.`date_column` AS DATE))) AS time_period_utc
FROM `<target_schema>`.`<target_table>` AS analyzed_table
GROUP BY time_period, time_period_utc
ORDER BY time_period, time_period_utc
SQL Server
{% import '/dialects/sqlserver.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT_BIG({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN {{ lib.render_target_column('analyzed_table') }} LIKE '%[^ -~]%'
                    THEN 1
                ELSE 0
            END
        ) / COUNT_BIG({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT_BIG(analyzed_table.[target_column]) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN analyzed_table.[target_column] LIKE '%[^ -~]%'
                    THEN 1
                ELSE 0
            END
        ) / COUNT_BIG(analyzed_table.[target_column])
    END AS actual_value,
    DATEFROMPARTS(YEAR(CAST(analyzed_table.[date_column] AS date)), MONTH(CAST(analyzed_table.[date_column] AS date)), 1) AS time_period,
    CAST((DATEFROMPARTS(YEAR(CAST(analyzed_table.[date_column] AS date)), MONTH(CAST(analyzed_table.[date_column] AS date)), 1)) AS DATETIME) AS time_period_utc
FROM [your_sql_server_database].[<target_schema>].[<target_table>] AS analyzed_table
GROUP BY DATEFROMPARTS(YEAR(CAST(analyzed_table.[date_column] AS date)), MONTH(CAST(analyzed_table.[date_column] AS date)), 1), DATEADD(month, DATEDIFF(month, 0, analyzed_table.[date_column]), 0)
ORDER BY DATEFROMPARTS(YEAR(CAST(analyzed_table.[date_column] AS date)), MONTH(CAST(analyzed_table.[date_column] AS date)), 1)
Teradata
{% import '/dialects/teradata.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN {{ lib.render_target_column('analyzed_table') }} IS NOT NULL AND
                        REGEXP_SUBSTR({{ lib.render_target_column('analyzed_table') }}, '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-''])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-''.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-''.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$') IS NULL
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN analyzed_table."target_column" IS NOT NULL AND
                        REGEXP_SUBSTR(analyzed_table."target_column", '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-''])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-''.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-''.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$') IS NULL
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,
    TRUNC(CAST(analyzed_table."date_column" AS DATE), 'MM') AS time_period,
    CAST(TRUNC(CAST(analyzed_table."date_column" AS DATE), 'MM') AS TIMESTAMP) AS time_period_utc
FROM "<target_schema>"."<target_table>" AS analyzed_table
GROUP BY time_period, time_period_utc
ORDER BY time_period, time_period_utc
Trino
{% import '/dialects/trino.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE CAST(100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(CAST({{ lib.render_target_column('analyzed_table') }} AS VARCHAR), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) AS DOUBLE) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE CAST(100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(CAST(analyzed_table."target_column" AS VARCHAR), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) AS DOUBLE) / COUNT(analyzed_table."target_column")
    END AS actual_value,
    time_period,
    time_period_utc
FROM (
    SELECT
        original_table.*,
    DATE_TRUNC('MONTH', CAST(original_table."date_column" AS date)) AS time_period,
    CAST(DATE_TRUNC('MONTH', CAST(original_table."date_column" AS date)) AS TIMESTAMP) AS time_period_utc
    FROM "your_trino_catalog"."<target_schema>"."<target_table>" original_table
) analyzed_table
GROUP BY time_period, time_period_utc
ORDER BY time_period, time_period_utc

Expand the Configure with data grouping section to see additional examples for configuring this data quality checks to use data grouping (GROUP BY).

Configuration with data grouping

Sample configuration with data grouping enabled (YAML) The sample below shows how to configure the data grouping and how it affects the generated SQL query.

# yaml-language-server: $schema=https://cloud.dqops.com/dqo-yaml-schema/TableYaml-schema.json
apiVersion: dqo/v1
kind: table
spec:
  timestamp_columns:
    partition_by_column: date_column
  incremental_time_window:
    daily_partitioning_recent_days: 7
    monthly_partitioning_recent_months: 1
  default_grouping_name: group_by_country_and_state
  groupings:
    group_by_country_and_state:
      level_1:
        source: column_value
        column: country
      level_2:
        source: column_value
        column: state
  columns:
    target_column:
      partitioned_checks:
        monthly:
          patterns:
            monthly_partition_text_not_matching_name_pattern_percent:
              warning:
                max_percent: 0.0
              error:
                max_percent: 1.0
              fatal:
                max_percent: 5.0
      labels:
      - This is the column that is analyzed for data quality issues
    date_column:
      labels:
      - "date or datetime column used as a daily or monthly partitioning key, dates\
        \ (and times) are truncated to a day or a month by the sensor's query for\
        \ partitioned checks"
    country:
      labels:
      - column used as the first grouping key
    state:
      labels:
      - column used as the second grouping key

Please expand the database engine name section to see the SQL query rendered by a Jinja2 template for the text_not_matching_name_pattern_percent sensor.

BigQuery
{% import '/dialects/bigquery.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_CONTAINS(CAST({{ lib.render_target_column('analyzed_table') }} AS STRING), r"^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$")
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table.`target_column`) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_CONTAINS(CAST(analyzed_table.`target_column` AS STRING), r"^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$")
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table.`target_column`)
    END AS actual_value,
    analyzed_table.`country` AS grouping_level_1,
    analyzed_table.`state` AS grouping_level_2,
    DATE_TRUNC(CAST(analyzed_table.`date_column` AS DATE), MONTH) AS time_period,
    TIMESTAMP(DATE_TRUNC(CAST(analyzed_table.`date_column` AS DATE), MONTH)) AS time_period_utc
FROM `your-google-project-id`.`<target_schema>`.`<target_table>` AS analyzed_table
GROUP BY grouping_level_1, grouping_level_2, time_period, time_period_utc
ORDER BY grouping_level_1, grouping_level_2, time_period, time_period_utc
ClickHouse
{% import '/dialects/clickhouse.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT match(toString({{ lib.render_target_column('analyzed_table') }}), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-\'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-\'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-\'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT match(toString(analyzed_table."target_column"), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-\'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-\'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-\'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,
    analyzed_table."country" AS grouping_level_1,
    analyzed_table."state" AS grouping_level_2,
    DATE_TRUNC('month', CAST(analyzed_table."date_column" AS DATE)) AS time_period,
    toDateTime64(DATE_TRUNC('month', CAST(analyzed_table."date_column" AS DATE)), 3) AS time_period_utc
FROM "<target_schema>"."<target_table>" AS analyzed_table
GROUP BY grouping_level_1, grouping_level_2, time_period, time_period_utc
ORDER BY grouping_level_1, grouping_level_2, time_period, time_period_utc
Databricks
{% import '/dialects/databricks.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} REGEXP "^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$"
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table.`target_column`) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT analyzed_table.`target_column` REGEXP "^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$"
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table.`target_column`)
    END AS actual_value,
    analyzed_table.`country` AS grouping_level_1,
    analyzed_table.`state` AS grouping_level_2,
    DATE_TRUNC('MONTH', CAST(analyzed_table.`date_column` AS DATE)) AS time_period,
    TIMESTAMP(DATE_TRUNC('MONTH', CAST(analyzed_table.`date_column` AS DATE))) AS time_period_utc
FROM `<target_schema>`.`<target_table>` AS analyzed_table
GROUP BY grouping_level_1, grouping_level_2, time_period, time_period_utc
ORDER BY grouping_level_1, grouping_level_2, time_period, time_period_utc
DB2
{% import '/dialects/db2.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE({{ lib.render_target_column('analyzed_table') }}, '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(analyzed_table."target_column", '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,

                analyzed_table.grouping_level_1,

                analyzed_table.grouping_level_2,
    time_period,
    time_period_utc
FROM (
    SELECT
        original_table.*,
    original_table."country" AS grouping_level_1,
    original_table."state" AS grouping_level_2,
    DATE_TRUNC('MONTH', CAST(original_table."date_column" AS DATE)) AS time_period,
    TIMESTAMP(DATE_TRUNC('MONTH', CAST(original_table."date_column" AS DATE))) AS time_period_utc
    FROM "<target_schema>"."<target_table>" original_table
) analyzed_table
GROUP BY grouping_level_1, grouping_level_2, time_period, time_period_utc
ORDER BY grouping_level_1, grouping_level_2, time_period, time_period_utc
DuckDB
{% import '/dialects/duckdb.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_MATCHES({{ lib.render_target_column('analyzed_table') }}, '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_MATCHES(analyzed_table."target_column", '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,
    analyzed_table."country" AS grouping_level_1,
    analyzed_table."state" AS grouping_level_2,
    DATE_TRUNC('MONTH', CAST(analyzed_table."date_column" AS date)) AS time_period,
    CAST((DATE_TRUNC('MONTH', CAST(analyzed_table."date_column" AS date))) AS TIMESTAMP WITH TIME ZONE) AS time_period_utc
FROM  AS analyzed_table
GROUP BY grouping_level_1, grouping_level_2, time_period, time_period_utc
ORDER BY grouping_level_1, grouping_level_2, time_period, time_period_utc
HANA
{% import '/dialects/hana.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN CAST({{ lib.render_target_column('analyzed_table') }} AS VARCHAR) NOT LIKE_REGEXPR '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN CAST(analyzed_table."target_column" AS VARCHAR) NOT LIKE_REGEXPR '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,

                analyzed_table.grouping_level_1,

                analyzed_table.grouping_level_2,
    time_period,
    time_period_utc
FROM (
    SELECT
        original_table.*,
    original_table."country" AS grouping_level_1,
    original_table."state" AS grouping_level_2,
    SERIES_ROUND(CAST(original_table."date_column" AS DATE), 'INTERVAL 1 MONTH', ROUND_DOWN) AS time_period,
    TO_TIMESTAMP(SERIES_ROUND(CAST(original_table."date_column" AS DATE), 'INTERVAL 1 MONTH', ROUND_DOWN)) AS time_period_utc
    FROM "<target_schema>"."<target_table>" original_table
) analyzed_table
GROUP BY grouping_level_1, grouping_level_2, time_period, time_period_utc
ORDER BY grouping_level_1, grouping_level_2, time_period, time_period_utc
MariaDB
{% import '/dialects/mariadb.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_regex(lib.render_target_column('analyzed_table'), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([ \t\n\r\f\v''-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.]))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([ \t\n\r\f\v''-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([ \t\n\r\f\v''-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$') }}
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table.`target_column`) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT 
    analyzed_table.`target_column` RLIKE '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([  

-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.]))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([   

-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([   

-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$'

                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table.`target_column`)
    END AS actual_value,
    analyzed_table.`country` AS grouping_level_1,
    analyzed_table.`state` AS grouping_level_2,
    DATE_FORMAT(analyzed_table.`date_column`, '%Y-%m-01 00:00:00') AS time_period,
    FROM_UNIXTIME(UNIX_TIMESTAMP(DATE_FORMAT(analyzed_table.`date_column`, '%Y-%m-01 00:00:00'))) AS time_period_utc
FROM `<target_table>` AS analyzed_table
GROUP BY grouping_level_1, grouping_level_2, time_period, time_period_utc
ORDER BY grouping_level_1, grouping_level_2, time_period, time_period_utc
MySQL
{% import '/dialects/mysql.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_regex(lib.render_target_column('analyzed_table'), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([ \t\n\r\f\v''-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.]))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([ \t\n\r\f\v''-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([ \t\n\r\f\v''-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$') }}
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table.`target_column`) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(analyzed_table.`target_column`, '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([  

-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.]))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([   

-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([   

-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table.`target_column`)
    END AS actual_value,
    analyzed_table.`country` AS grouping_level_1,
    analyzed_table.`state` AS grouping_level_2,
    DATE_FORMAT(analyzed_table.`date_column`, '%Y-%m-01 00:00:00') AS time_period,
    FROM_UNIXTIME(UNIX_TIMESTAMP(DATE_FORMAT(analyzed_table.`date_column`, '%Y-%m-01 00:00:00'))) AS time_period_utc
FROM `<target_table>` AS analyzed_table
GROUP BY grouping_level_1, grouping_level_2, time_period, time_period_utc
ORDER BY grouping_level_1, grouping_level_2, time_period, time_period_utc
Oracle
{% import '/dialects/oracle.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE({{ lib.render_target_column('analyzed_table') }}, '^[[:alpha:] .''-]{2,}(\s.[[:alpha:] .''-]{2,})+$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(analyzed_table."target_column", '^[[:alpha:] .''-]{2,}(\s.[[:alpha:] .''-]{2,})+$')
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,

                analyzed_table.grouping_level_1,

                analyzed_table.grouping_level_2
,
    time_period,
    time_period_utc
FROM (
    SELECT
        original_table.*,
    original_table."country" AS grouping_level_1,
    original_table."state" AS grouping_level_2,
    TRUNC(CAST(original_table."date_column" AS DATE), 'MONTH') AS time_period,
    CAST(TRUNC(CAST(original_table."date_column" AS DATE), 'MONTH') AS TIMESTAMP WITH TIME ZONE) AS time_period_utc
    FROM "<target_schema>"."<target_table>" original_table
) analyzed_table
GROUP BY grouping_level_1, grouping_level_2, time_period, time_period_utc
ORDER BY grouping_level_1, grouping_level_2, time_period, time_period_utc
PostgreSQL
{% import '/dialects/postgresql.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} ~ '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT analyzed_table."target_column" ~ '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,
    analyzed_table."country" AS grouping_level_1,
    analyzed_table."state" AS grouping_level_2,
    DATE_TRUNC('MONTH', CAST(analyzed_table."date_column" AS date)) AS time_period,
    CAST((DATE_TRUNC('MONTH', CAST(analyzed_table."date_column" AS date))) AS TIMESTAMP WITH TIME ZONE) AS time_period_utc
FROM "your_postgresql_database"."<target_schema>"."<target_table>" AS analyzed_table
GROUP BY grouping_level_1, grouping_level_2, time_period, time_period_utc
ORDER BY grouping_level_1, grouping_level_2, time_period, time_period_utc
Presto
{% import '/dialects/presto.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE CAST(100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(CAST({{ lib.render_target_column('analyzed_table') }} AS VARCHAR), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) AS DOUBLE) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE CAST(100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(CAST(analyzed_table."target_column" AS VARCHAR), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) AS DOUBLE) / COUNT(analyzed_table."target_column")
    END AS actual_value,

                analyzed_table.grouping_level_1,

                analyzed_table.grouping_level_2
,
    time_period,
    time_period_utc
FROM (
    SELECT
        original_table.*,
    original_table."country" AS grouping_level_1,
    original_table."state" AS grouping_level_2,
    DATE_TRUNC('MONTH', CAST(original_table."date_column" AS date)) AS time_period,
    CAST(DATE_TRUNC('MONTH', CAST(original_table."date_column" AS date)) AS TIMESTAMP) AS time_period_utc
    FROM "your_trino_database"."<target_schema>"."<target_table>" original_table
) analyzed_table
GROUP BY grouping_level_1, grouping_level_2, time_period, time_period_utc
ORDER BY grouping_level_1, grouping_level_2, time_period, time_period_utc
QuestDB
{% import '/dialects/questdb.sql.jinja2' as lib with context -%}
SELECT
    COALESCE(100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} ~ '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s''-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s''.-]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s''.-]?)((a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }}), 100.0)
    AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM(
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
    WHERE {{ lib.render_target_column('original_table') }} IS NOT NULL
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    COALESCE(100.0 * SUM(
            CASE
                WHEN NOT analyzed_table."target_column" ~ '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s''-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s''.-]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s''.-]?)((a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column"), 100.0)
    AS actual_value,

                analyzed_table.grouping_level_1,

                analyzed_table.grouping_level_2,
    time_period,
    time_period_utc
FROM(
    SELECT
        original_table.*,
    original_table."country" AS grouping_level_1,
    original_table."state" AS grouping_level_2,
    CAST(DATE_TRUNC('month', original_table."date_column") AS DATE) AS time_period,
    CAST((CAST(DATE_TRUNC('month', original_table."date_column") AS DATE)) AS TIMESTAMP WITH TIME ZONE) AS time_period_utc
    FROM "<target_table>" original_table
    WHERE original_table."target_column" IS NOT NULL
) analyzed_table
GROUP BY grouping_level_1, grouping_level_2, time_period, time_period_utc
ORDER BY grouping_level_1, grouping_level_2, time_period, time_period_utc
Redshift
{% import '/dialects/redshift.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} ~ '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT analyzed_table."target_column" ~ '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,
    analyzed_table."country" AS grouping_level_1,
    analyzed_table."state" AS grouping_level_2,
    DATE_TRUNC('MONTH', CAST(analyzed_table."date_column" AS date)) AS time_period,
    CAST((DATE_TRUNC('MONTH', CAST(analyzed_table."date_column" AS date))) AS TIMESTAMP WITH TIME ZONE) AS time_period_utc
FROM "your_redshift_database"."<target_schema>"."<target_table>" AS analyzed_table
GROUP BY grouping_level_1, grouping_level_2, time_period, time_period_utc
ORDER BY grouping_level_1, grouping_level_2, time_period, time_period_utc
Snowflake
{% import '/dialects/snowflake.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} REGEXP '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT analyzed_table."target_column" REGEXP '^[[:alpha:] .''-]+$'
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,
    analyzed_table."country" AS grouping_level_1,
    analyzed_table."state" AS grouping_level_2,
    DATE_TRUNC('MONTH', CAST(analyzed_table."date_column" AS date)) AS time_period,
    TO_TIMESTAMP(DATE_TRUNC('MONTH', CAST(analyzed_table."date_column" AS date))) AS time_period_utc
FROM "your_snowflake_database"."<target_schema>"."<target_table>" AS analyzed_table
GROUP BY grouping_level_1, grouping_level_2, time_period, time_period_utc
ORDER BY grouping_level_1, grouping_level_2, time_period, time_period_utc
Spark
{% import '/dialects/spark.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT {{ lib.render_target_column('analyzed_table') }} REGEXP "^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$"
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table.`target_column`) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN NOT analyzed_table.`target_column` REGEXP "^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\\s-'.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\\s-'.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$"
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table.`target_column`)
    END AS actual_value,
    analyzed_table.`country` AS grouping_level_1,
    analyzed_table.`state` AS grouping_level_2,
    DATE_TRUNC('MONTH', CAST(analyzed_table.`date_column` AS DATE)) AS time_period,
    TIMESTAMP(DATE_TRUNC('MONTH', CAST(analyzed_table.`date_column` AS DATE))) AS time_period_utc
FROM `<target_schema>`.`<target_table>` AS analyzed_table
GROUP BY grouping_level_1, grouping_level_2, time_period, time_period_utc
ORDER BY grouping_level_1, grouping_level_2, time_period, time_period_utc
SQL Server
{% import '/dialects/sqlserver.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT_BIG({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN {{ lib.render_target_column('analyzed_table') }} LIKE '%[^ -~]%'
                    THEN 1
                ELSE 0
            END
        ) / COUNT_BIG({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT_BIG(analyzed_table.[target_column]) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN analyzed_table.[target_column] LIKE '%[^ -~]%'
                    THEN 1
                ELSE 0
            END
        ) / COUNT_BIG(analyzed_table.[target_column])
    END AS actual_value,
    analyzed_table.[country] AS grouping_level_1,
    analyzed_table.[state] AS grouping_level_2,
    DATEFROMPARTS(YEAR(CAST(analyzed_table.[date_column] AS date)), MONTH(CAST(analyzed_table.[date_column] AS date)), 1) AS time_period,
    CAST((DATEFROMPARTS(YEAR(CAST(analyzed_table.[date_column] AS date)), MONTH(CAST(analyzed_table.[date_column] AS date)), 1)) AS DATETIME) AS time_period_utc
FROM [your_sql_server_database].[<target_schema>].[<target_table>] AS analyzed_table
GROUP BY analyzed_table.[country], analyzed_table.[state], DATEFROMPARTS(YEAR(CAST(analyzed_table.[date_column] AS date)), MONTH(CAST(analyzed_table.[date_column] AS date)), 1), DATEADD(month, DATEDIFF(month, 0, analyzed_table.[date_column]), 0)
ORDER BY level_1, level_2DATEFROMPARTS(YEAR(CAST(analyzed_table.[date_column] AS date)), MONTH(CAST(analyzed_table.[date_column] AS date)), 1)
Teradata
{% import '/dialects/teradata.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN {{ lib.render_target_column('analyzed_table') }} IS NOT NULL AND
                        REGEXP_SUBSTR({{ lib.render_target_column('analyzed_table') }}, '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-''])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-''.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-''.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$') IS NULL
                    THEN 1
                ELSE 0
            END
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE 100.0 * SUM(
            CASE
                WHEN analyzed_table."target_column" IS NOT NULL AND
                        REGEXP_SUBSTR(analyzed_table."target_column", '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-''])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([\s-''.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([\s-''.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$') IS NULL
                    THEN 1
                ELSE 0
            END
        ) / COUNT(analyzed_table."target_column")
    END AS actual_value,
    analyzed_table."country" AS grouping_level_1,
    analyzed_table."state" AS grouping_level_2,
    TRUNC(CAST(analyzed_table."date_column" AS DATE), 'MM') AS time_period,
    CAST(TRUNC(CAST(analyzed_table."date_column" AS DATE), 'MM') AS TIMESTAMP) AS time_period_utc
FROM "<target_schema>"."<target_table>" AS analyzed_table
GROUP BY grouping_level_1, grouping_level_2, time_period, time_period_utc
ORDER BY grouping_level_1, grouping_level_2, time_period, time_period_utc
Trino
{% import '/dialects/trino.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
        ELSE CAST(100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(CAST({{ lib.render_target_column('analyzed_table') }} AS VARCHAR), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) AS DOUBLE) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
SELECT
    CASE
        WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
        ELSE CAST(100.0 * SUM(
            CASE
                WHEN NOT REGEXP_LIKE(CAST(analyzed_table."target_column" AS VARCHAR), '^(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-])|([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{1})([.])(\s?))([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})([''\s-.]?([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([''\s-.]?)(([a-zA-ZżźćńółęąśäöüåáéěíôúůýčďťĺňŕřšžçâêîôûàèìòùëïãõŻŹĆŃÓŁĘĄŚÄÖÜÅÁÉĚÍÔÚŮÝČĎŤĹŇŔŘŠŽÇÂÊÎÔÛÀÈÌÒÙËÏÃÕ]{2,})?([.])?))?$')
                    THEN 1
                ELSE 0
            END
        ) AS DOUBLE) / COUNT(analyzed_table."target_column")
    END AS actual_value,

                analyzed_table.grouping_level_1,

                analyzed_table.grouping_level_2
,
    time_period,
    time_period_utc
FROM (
    SELECT
        original_table.*,
    original_table."country" AS grouping_level_1,
    original_table."state" AS grouping_level_2,
    DATE_TRUNC('MONTH', CAST(original_table."date_column" AS date)) AS time_period,
    CAST(DATE_TRUNC('MONTH', CAST(original_table."date_column" AS date)) AS TIMESTAMP) AS time_period_utc
    FROM "your_trino_catalog"."<target_schema>"."<target_table>" original_table
) analyzed_table
GROUP BY grouping_level_1, grouping_level_2, time_period, time_period_utc
ORDER BY grouping_level_1, grouping_level_2, time_period, time_period_utc

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