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Last updated: July 22, 2025

Expected text values in use count data quality checks, SQL examples

A column-level check that counts unique values in a text column and counts how many values out of a list of expected string values were found in the column. The check raises a data quality issue when the threshold for the maximum number of missing has been exceeded (too many expected values were not found in the column). This check is useful for analysing columns with a low number of unique values, such as status codes, to detect whether all status codes are used in any row.


The expected text values in use count data quality check has the following variants for each type of data quality checks supported by DQOps.

profile expected text values in use count

Check description

Verifies that the expected string values were found in the column. Raises a data quality issue when too many expected values were not found (were missing).

Data quality check name Friendly name Category Check type Time scale Quality dimension Sensor definition Quality rule Standard
profile_expected_text_values_in_use_count Maximum number of expected text values that are not in use accepted_values profiling Reasonableness expected_text_values_in_use_count max_missing

Command-line examples

Please expand the section below to see the DQOps command-line examples to run or activate the profile expected text values in use count data quality check.

Managing profile expected text values in use count 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_expected_text_values_in_use_count --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_expected_text_values_in_use_count --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_expected_text_values_in_use_count --enable-warning
                    -Wmax_missing=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_expected_text_values_in_use_count --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_expected_text_values_in_use_count --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_expected_text_values_in_use_count --enable-error
                    -Emax_missing=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_expected_text_values_in_use_count check on all tables and columns on a single data source.

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

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_expected_text_values_in_use_count

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

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

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:
        accepted_values:
          profile_expected_text_values_in_use_count:
            parameters:
              expected_values:
              - USD
              - GBP
              - EUR
            warning:
              max_missing: 0
            error:
              max_missing: 1
            fatal:
              max_missing: 2
      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 expected_text_values_in_use_count data quality sensor.

BigQuery
{% import '/dialects/bigquery.sql.jinja2' as lib with context -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro actual_value() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    {{ actual_value() }} AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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
    COUNT(DISTINCT
        CASE
            WHEN analyzed_table.`target_column` IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table.`target_column`
            ELSE NULL
        END
    ) AS actual_value,
    MAX(3) AS expected_value
FROM `your-google-project-id`.`<target_schema>`.`<target_table>` AS analyzed_table
ClickHouse
{% import '/dialects/clickhouse.sql.jinja2' as lib with context -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro actual_value() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    {{ actual_value() }} AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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
    COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    ) AS actual_value,
    MAX(3) AS expected_value
FROM "<target_schema>"."<target_table>" AS analyzed_table
Databricks
{% import '/dialects/databricks.sql.jinja2' as lib with context -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{ lib.make_text_constant(i) }},
        {%- else -%}
            {{ lib.make_text_constant(i) }}
        {%- endif -%}
    {%- endfor -%}
{%- endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
        COUNT(DISTINCT
            CASE
                WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
                ELSE NULL
            END
        )
    {%- endif -%}
{%- endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{ render_else() }}
    END AS actual_value,
    MAX(CAST({{ parameters.expected_values | length }} AS INT)) AS expected_value_alias
    {{- 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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
            CASE
                WHEN analyzed_table.`target_column` IN ('USD','GBP','EUR')
                THEN analyzed_table.`target_column`
                ELSE NULL
            END
        )
    END AS actual_value,
    MAX(CAST(3 AS INT)) AS expected_value_alias
FROM `<target_schema>`.`<target_table>` AS analyzed_table
DB2
{% import '/dialects/db2.sql.jinja2' as lib with context -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    MAX(0)
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) expected_value
FROM(
    SELECT
        original_table.*
    FROM "<target_schema>"."<target_table>" original_table) analyzed_table
DuckDB
{% import '/dialects/duckdb.sql.jinja2' as lib with context -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_value
FROM  AS analyzed_table
HANA
{% import '/dialects/hana.sql.jinja2' as lib with context -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro actual_value() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CAST({{ actual_value() }} AS BIGINT) AS actual_value,
    MAX({{ parameters.expected_values | length }} ) AS expected_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
    CAST(COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    ) AS BIGINT) AS actual_value,
    MAX(3 ) AS expected_value
FROM (
    SELECT
        original_table.*
    FROM "<target_schema>"."<target_table>" original_table
) analyzed_table
MariaDB
{% import '/dialects/mariadb.sql.jinja2' as lib with context -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN MAX(0)
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN MAX(0)
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table.`target_column` IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table.`target_column`
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_value
FROM `<target_table>` AS analyzed_table
MySQL
{% import '/dialects/mysql.sql.jinja2' as lib with context -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN MAX(0)
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN MAX(0)
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table.`target_column` IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table.`target_column`
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_value
FROM `<target_table>` AS analyzed_table
Oracle
{% import '/dialects/oracle.sql.jinja2' as lib with context -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    MAX(0)
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) expected_value
FROM(
    SELECT
        original_table.*
    FROM "<target_schema>"."<target_table>" original_table
) analyzed_table
PostgreSQL
{% import '/dialects/postgresql.sql.jinja2' as lib with context -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_value
FROM "your_postgresql_database"."<target_schema>"."<target_table>" AS analyzed_table
Presto
{% import '/dialects/presto.sql.jinja2' as lib with context -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro actual_value() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CAST({{ actual_value() }} AS BIGINT) AS actual_value,
    MAX({{ parameters.expected_values | length }} ) AS expected_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
    CAST(COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    ) AS BIGINT) AS actual_value,
    MAX(3 ) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_actual_value() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT_DISTINCT(
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    {{render_actual_value()}} AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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
    COUNT_DISTINCT(
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    ) AS actual_value,
    MAX(3) AS expected_value
FROM(
    SELECT
        original_table.*
    FROM "<target_table>" original_table
) analyzed_table
Redshift
{% import '/dialects/redshift.sql.jinja2' as lib with context -%}
{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_value
FROM "your_redshift_database"."<target_schema>"."<target_table>" AS analyzed_table
Snowflake
{% import '/dialects/snowflake.sql.jinja2' as lib with context -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_value
FROM "your_snowflake_database"."<target_schema>"."<target_table>" AS analyzed_table
Spark
{% import '/dialects/spark.sql.jinja2' as lib with context -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{ lib.make_text_constant(i) }},
        {%- else -%}
            {{ lib.make_text_constant(i) }}
        {%- endif -%}
    {%- endfor -%}
{%- endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
        COUNT(DISTINCT
            CASE
                WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
                ELSE NULL
            END
        )
    {%- endif -%}
{%- endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{ render_else() }}
    END AS actual_value,
    MAX(CAST({{ parameters.expected_values | length }} AS INT)) AS expected_value_alias
    {{- 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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
            CASE
                WHEN analyzed_table.`target_column` IN ('USD','GBP','EUR')
                THEN analyzed_table.`target_column`
                ELSE NULL
            END
        )
    END AS actual_value,
    MAX(CAST(3 AS INT)) AS expected_value_alias
FROM `<target_schema>`.`<target_table>` AS analyzed_table
SQL Server
{% import '/dialects/sqlserver.sql.jinja2' as lib with context -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT_BIG(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT_BIG(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN NULL
        ELSE COUNT_BIG(DISTINCT
        CASE
            WHEN analyzed_table.[target_column] IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table.[target_column]
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_value
FROM [your_sql_server_database].[<target_schema>].[<target_table>] AS analyzed_table
Teradata
{% import '/dialects/teradata.sql.jinja2' as lib with context -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{ lib.make_text_constant(i) }},
        {%- else -%}
            {{ lib.make_text_constant(i) }}
        {%- endif -%}
    {%- endfor -%}
{%- endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
        COUNT(DISTINCT
            CASE
                WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
                ELSE NULL
            END
        )
    {%- endif -%}
{%- endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{ render_else() }}
    END AS actual_value,
    MAX(CAST({{ parameters.expected_values | length }} AS INT)) AS expected_value_alias
    {{- 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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
            CASE
                WHEN analyzed_table."target_column" IN ('USD','GBP','EUR')
                THEN analyzed_table."target_column"
                ELSE NULL
            END
        )
    END AS actual_value,
    MAX(CAST(3 AS INT)) AS expected_value_alias
FROM "<target_schema>"."<target_table>" AS analyzed_table
Trino
{% import '/dialects/trino.sql.jinja2' as lib with context -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro actual_value() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CAST({{ actual_value() }} AS BIGINT) AS actual_value,
    MAX({{ parameters.expected_values | length }} ) AS expected_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
    CAST(COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    ) AS BIGINT) AS actual_value,
    MAX(3 ) AS expected_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:
        accepted_values:
          profile_expected_text_values_in_use_count:
            parameters:
              expected_values:
              - USD
              - GBP
              - EUR
            warning:
              max_missing: 0
            error:
              max_missing: 1
            fatal:
              max_missing: 2
      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 expected_text_values_in_use_count sensor.

BigQuery
{% import '/dialects/bigquery.sql.jinja2' as lib with context -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro actual_value() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    {{ actual_value() }} AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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
    COUNT(DISTINCT
        CASE
            WHEN analyzed_table.`target_column` IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table.`target_column`
            ELSE NULL
        END
    ) AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro actual_value() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    {{ actual_value() }} AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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
    COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    ) AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{ lib.make_text_constant(i) }},
        {%- else -%}
            {{ lib.make_text_constant(i) }}
        {%- endif -%}
    {%- endfor -%}
{%- endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
        COUNT(DISTINCT
            CASE
                WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
                ELSE NULL
            END
        )
    {%- endif -%}
{%- endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{ render_else() }}
    END AS actual_value,
    MAX(CAST({{ parameters.expected_values | length }} AS INT)) AS expected_value_alias
    {{- 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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
            CASE
                WHEN analyzed_table.`target_column` IN ('USD','GBP','EUR')
                THEN analyzed_table.`target_column`
                ELSE NULL
            END
        )
    END AS actual_value,
    MAX(CAST(3 AS INT)) AS expected_value_alias,
    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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    MAX(0)
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro actual_value() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CAST({{ actual_value() }} AS BIGINT) AS actual_value,
    MAX({{ parameters.expected_values | length }} ) AS expected_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
    CAST(COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    ) AS BIGINT) AS actual_value,
    MAX(3 ) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN MAX(0)
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN MAX(0)
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table.`target_column` IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table.`target_column`
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN MAX(0)
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN MAX(0)
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table.`target_column` IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table.`target_column`
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    MAX(0)
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro actual_value() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CAST({{ actual_value() }} AS BIGINT) AS actual_value,
    MAX({{ parameters.expected_values | length }} ) AS expected_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
    CAST(COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    ) AS BIGINT) AS actual_value,
    MAX(3 ) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_actual_value() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT_DISTINCT(
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    {{render_actual_value()}} AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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
    COUNT_DISTINCT(
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    ) AS actual_value,
    MAX(3) AS expected_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
) 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 -%}
{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{ lib.make_text_constant(i) }},
        {%- else -%}
            {{ lib.make_text_constant(i) }}
        {%- endif -%}
    {%- endfor -%}
{%- endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
        COUNT(DISTINCT
            CASE
                WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
                ELSE NULL
            END
        )
    {%- endif -%}
{%- endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{ render_else() }}
    END AS actual_value,
    MAX(CAST({{ parameters.expected_values | length }} AS INT)) AS expected_value_alias
    {{- 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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
            CASE
                WHEN analyzed_table.`target_column` IN ('USD','GBP','EUR')
                THEN analyzed_table.`target_column`
                ELSE NULL
            END
        )
    END AS actual_value,
    MAX(CAST(3 AS INT)) AS expected_value_alias,
    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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT_BIG(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT_BIG(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN NULL
        ELSE COUNT_BIG(DISTINCT
        CASE
            WHEN analyzed_table.[target_column] IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table.[target_column]
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{ lib.make_text_constant(i) }},
        {%- else -%}
            {{ lib.make_text_constant(i) }}
        {%- endif -%}
    {%- endfor -%}
{%- endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
        COUNT(DISTINCT
            CASE
                WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
                ELSE NULL
            END
        )
    {%- endif -%}
{%- endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{ render_else() }}
    END AS actual_value,
    MAX(CAST({{ parameters.expected_values | length }} AS INT)) AS expected_value_alias
    {{- 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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
            CASE
                WHEN analyzed_table."target_column" IN ('USD','GBP','EUR')
                THEN analyzed_table."target_column"
                ELSE NULL
            END
        )
    END AS actual_value,
    MAX(CAST(3 AS INT)) AS expected_value_alias,
    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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro actual_value() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CAST({{ actual_value() }} AS BIGINT) AS actual_value,
    MAX({{ parameters.expected_values | length }} ) AS expected_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
    CAST(COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    ) AS BIGINT) AS actual_value,
    MAX(3 ) AS expected_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 expected text values in use count

Check description

Verifies that the expected string values were found in the column. Raises a data quality issue when too many expected values were not found (were missing). Stores the most recent captured value for each day when the data quality check was evaluated.

Data quality check name Friendly name Category Check type Time scale Quality dimension Sensor definition Quality rule Standard
daily_expected_text_values_in_use_count Maximum number of expected text values that are not in use accepted_values monitoring daily Reasonableness expected_text_values_in_use_count max_missing

Command-line examples

Please expand the section below to see the DQOps command-line examples to run or activate the daily expected text values in use count data quality check.

Managing daily expected text values in use count 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_expected_text_values_in_use_count --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_expected_text_values_in_use_count --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_expected_text_values_in_use_count --enable-warning
                    -Wmax_missing=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_expected_text_values_in_use_count --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_expected_text_values_in_use_count --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_expected_text_values_in_use_count --enable-error
                    -Emax_missing=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_expected_text_values_in_use_count check on all tables and columns on a single data source.

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

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_expected_text_values_in_use_count

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

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

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:
          accepted_values:
            daily_expected_text_values_in_use_count:
              parameters:
                expected_values:
                - USD
                - GBP
                - EUR
              warning:
                max_missing: 0
              error:
                max_missing: 1
              fatal:
                max_missing: 2
      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 expected_text_values_in_use_count data quality sensor.

BigQuery
{% import '/dialects/bigquery.sql.jinja2' as lib with context -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro actual_value() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    {{ actual_value() }} AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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
    COUNT(DISTINCT
        CASE
            WHEN analyzed_table.`target_column` IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table.`target_column`
            ELSE NULL
        END
    ) AS actual_value,
    MAX(3) AS expected_value
FROM `your-google-project-id`.`<target_schema>`.`<target_table>` AS analyzed_table
ClickHouse
{% import '/dialects/clickhouse.sql.jinja2' as lib with context -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro actual_value() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    {{ actual_value() }} AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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
    COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    ) AS actual_value,
    MAX(3) AS expected_value
FROM "<target_schema>"."<target_table>" AS analyzed_table
Databricks
{% import '/dialects/databricks.sql.jinja2' as lib with context -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{ lib.make_text_constant(i) }},
        {%- else -%}
            {{ lib.make_text_constant(i) }}
        {%- endif -%}
    {%- endfor -%}
{%- endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
        COUNT(DISTINCT
            CASE
                WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
                ELSE NULL
            END
        )
    {%- endif -%}
{%- endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{ render_else() }}
    END AS actual_value,
    MAX(CAST({{ parameters.expected_values | length }} AS INT)) AS expected_value_alias
    {{- 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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
            CASE
                WHEN analyzed_table.`target_column` IN ('USD','GBP','EUR')
                THEN analyzed_table.`target_column`
                ELSE NULL
            END
        )
    END AS actual_value,
    MAX(CAST(3 AS INT)) AS expected_value_alias
FROM `<target_schema>`.`<target_table>` AS analyzed_table
DB2
{% import '/dialects/db2.sql.jinja2' as lib with context -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    MAX(0)
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) expected_value
FROM(
    SELECT
        original_table.*
    FROM "<target_schema>"."<target_table>" original_table) analyzed_table
DuckDB
{% import '/dialects/duckdb.sql.jinja2' as lib with context -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_value
FROM  AS analyzed_table
HANA
{% import '/dialects/hana.sql.jinja2' as lib with context -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro actual_value() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CAST({{ actual_value() }} AS BIGINT) AS actual_value,
    MAX({{ parameters.expected_values | length }} ) AS expected_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
    CAST(COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    ) AS BIGINT) AS actual_value,
    MAX(3 ) AS expected_value
FROM (
    SELECT
        original_table.*
    FROM "<target_schema>"."<target_table>" original_table
) analyzed_table
MariaDB
{% import '/dialects/mariadb.sql.jinja2' as lib with context -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN MAX(0)
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN MAX(0)
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table.`target_column` IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table.`target_column`
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_value
FROM `<target_table>` AS analyzed_table
MySQL
{% import '/dialects/mysql.sql.jinja2' as lib with context -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN MAX(0)
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN MAX(0)
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table.`target_column` IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table.`target_column`
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_value
FROM `<target_table>` AS analyzed_table
Oracle
{% import '/dialects/oracle.sql.jinja2' as lib with context -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    MAX(0)
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) expected_value
FROM(
    SELECT
        original_table.*
    FROM "<target_schema>"."<target_table>" original_table
) analyzed_table
PostgreSQL
{% import '/dialects/postgresql.sql.jinja2' as lib with context -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_value
FROM "your_postgresql_database"."<target_schema>"."<target_table>" AS analyzed_table
Presto
{% import '/dialects/presto.sql.jinja2' as lib with context -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro actual_value() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CAST({{ actual_value() }} AS BIGINT) AS actual_value,
    MAX({{ parameters.expected_values | length }} ) AS expected_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
    CAST(COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    ) AS BIGINT) AS actual_value,
    MAX(3 ) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_actual_value() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT_DISTINCT(
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    {{render_actual_value()}} AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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
    COUNT_DISTINCT(
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    ) AS actual_value,
    MAX(3) AS expected_value
FROM(
    SELECT
        original_table.*
    FROM "<target_table>" original_table
) analyzed_table
Redshift
{% import '/dialects/redshift.sql.jinja2' as lib with context -%}
{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_value
FROM "your_redshift_database"."<target_schema>"."<target_table>" AS analyzed_table
Snowflake
{% import '/dialects/snowflake.sql.jinja2' as lib with context -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_value
FROM "your_snowflake_database"."<target_schema>"."<target_table>" AS analyzed_table
Spark
{% import '/dialects/spark.sql.jinja2' as lib with context -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{ lib.make_text_constant(i) }},
        {%- else -%}
            {{ lib.make_text_constant(i) }}
        {%- endif -%}
    {%- endfor -%}
{%- endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
        COUNT(DISTINCT
            CASE
                WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
                ELSE NULL
            END
        )
    {%- endif -%}
{%- endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{ render_else() }}
    END AS actual_value,
    MAX(CAST({{ parameters.expected_values | length }} AS INT)) AS expected_value_alias
    {{- 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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
            CASE
                WHEN analyzed_table.`target_column` IN ('USD','GBP','EUR')
                THEN analyzed_table.`target_column`
                ELSE NULL
            END
        )
    END AS actual_value,
    MAX(CAST(3 AS INT)) AS expected_value_alias
FROM `<target_schema>`.`<target_table>` AS analyzed_table
SQL Server
{% import '/dialects/sqlserver.sql.jinja2' as lib with context -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT_BIG(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT_BIG(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN NULL
        ELSE COUNT_BIG(DISTINCT
        CASE
            WHEN analyzed_table.[target_column] IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table.[target_column]
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_value
FROM [your_sql_server_database].[<target_schema>].[<target_table>] AS analyzed_table
Teradata
{% import '/dialects/teradata.sql.jinja2' as lib with context -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{ lib.make_text_constant(i) }},
        {%- else -%}
            {{ lib.make_text_constant(i) }}
        {%- endif -%}
    {%- endfor -%}
{%- endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
        COUNT(DISTINCT
            CASE
                WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
                ELSE NULL
            END
        )
    {%- endif -%}
{%- endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{ render_else() }}
    END AS actual_value,
    MAX(CAST({{ parameters.expected_values | length }} AS INT)) AS expected_value_alias
    {{- 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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
            CASE
                WHEN analyzed_table."target_column" IN ('USD','GBP','EUR')
                THEN analyzed_table."target_column"
                ELSE NULL
            END
        )
    END AS actual_value,
    MAX(CAST(3 AS INT)) AS expected_value_alias
FROM "<target_schema>"."<target_table>" AS analyzed_table
Trino
{% import '/dialects/trino.sql.jinja2' as lib with context -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro actual_value() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CAST({{ actual_value() }} AS BIGINT) AS actual_value,
    MAX({{ parameters.expected_values | length }} ) AS expected_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
    CAST(COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    ) AS BIGINT) AS actual_value,
    MAX(3 ) AS expected_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:
          accepted_values:
            daily_expected_text_values_in_use_count:
              parameters:
                expected_values:
                - USD
                - GBP
                - EUR
              warning:
                max_missing: 0
              error:
                max_missing: 1
              fatal:
                max_missing: 2
      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 expected_text_values_in_use_count sensor.

BigQuery
{% import '/dialects/bigquery.sql.jinja2' as lib with context -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro actual_value() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    {{ actual_value() }} AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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
    COUNT(DISTINCT
        CASE
            WHEN analyzed_table.`target_column` IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table.`target_column`
            ELSE NULL
        END
    ) AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro actual_value() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    {{ actual_value() }} AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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
    COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    ) AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{ lib.make_text_constant(i) }},
        {%- else -%}
            {{ lib.make_text_constant(i) }}
        {%- endif -%}
    {%- endfor -%}
{%- endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
        COUNT(DISTINCT
            CASE
                WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
                ELSE NULL
            END
        )
    {%- endif -%}
{%- endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{ render_else() }}
    END AS actual_value,
    MAX(CAST({{ parameters.expected_values | length }} AS INT)) AS expected_value_alias
    {{- 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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
            CASE
                WHEN analyzed_table.`target_column` IN ('USD','GBP','EUR')
                THEN analyzed_table.`target_column`
                ELSE NULL
            END
        )
    END AS actual_value,
    MAX(CAST(3 AS INT)) AS expected_value_alias,
    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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    MAX(0)
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro actual_value() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CAST({{ actual_value() }} AS BIGINT) AS actual_value,
    MAX({{ parameters.expected_values | length }} ) AS expected_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
    CAST(COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    ) AS BIGINT) AS actual_value,
    MAX(3 ) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN MAX(0)
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN MAX(0)
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table.`target_column` IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table.`target_column`
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN MAX(0)
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN MAX(0)
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table.`target_column` IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table.`target_column`
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    MAX(0)
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro actual_value() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CAST({{ actual_value() }} AS BIGINT) AS actual_value,
    MAX({{ parameters.expected_values | length }} ) AS expected_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
    CAST(COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    ) AS BIGINT) AS actual_value,
    MAX(3 ) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_actual_value() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT_DISTINCT(
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    {{render_actual_value()}} AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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
    COUNT_DISTINCT(
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    ) AS actual_value,
    MAX(3) AS expected_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
) 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 -%}
{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{ lib.make_text_constant(i) }},
        {%- else -%}
            {{ lib.make_text_constant(i) }}
        {%- endif -%}
    {%- endfor -%}
{%- endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
        COUNT(DISTINCT
            CASE
                WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
                ELSE NULL
            END
        )
    {%- endif -%}
{%- endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{ render_else() }}
    END AS actual_value,
    MAX(CAST({{ parameters.expected_values | length }} AS INT)) AS expected_value_alias
    {{- 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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
            CASE
                WHEN analyzed_table.`target_column` IN ('USD','GBP','EUR')
                THEN analyzed_table.`target_column`
                ELSE NULL
            END
        )
    END AS actual_value,
    MAX(CAST(3 AS INT)) AS expected_value_alias,
    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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT_BIG(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT_BIG(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN NULL
        ELSE COUNT_BIG(DISTINCT
        CASE
            WHEN analyzed_table.[target_column] IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table.[target_column]
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{ lib.make_text_constant(i) }},
        {%- else -%}
            {{ lib.make_text_constant(i) }}
        {%- endif -%}
    {%- endfor -%}
{%- endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
        COUNT(DISTINCT
            CASE
                WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
                ELSE NULL
            END
        )
    {%- endif -%}
{%- endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{ render_else() }}
    END AS actual_value,
    MAX(CAST({{ parameters.expected_values | length }} AS INT)) AS expected_value_alias
    {{- 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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
            CASE
                WHEN analyzed_table."target_column" IN ('USD','GBP','EUR')
                THEN analyzed_table."target_column"
                ELSE NULL
            END
        )
    END AS actual_value,
    MAX(CAST(3 AS INT)) AS expected_value_alias,
    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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro actual_value() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CAST({{ actual_value() }} AS BIGINT) AS actual_value,
    MAX({{ parameters.expected_values | length }} ) AS expected_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
    CAST(COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    ) AS BIGINT) AS actual_value,
    MAX(3 ) AS expected_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 expected text values in use count

Check description

Verifies that the expected string values were found in the column. Raises a data quality issue when too many expected values were not found (were missing). Stores the most recent captured value for each month when the data quality check was evaluated.

Data quality check name Friendly name Category Check type Time scale Quality dimension Sensor definition Quality rule Standard
monthly_expected_text_values_in_use_count Maximum number of expected text values that are not in use accepted_values monitoring monthly Reasonableness expected_text_values_in_use_count max_missing

Command-line examples

Please expand the section below to see the DQOps command-line examples to run or activate the monthly expected text values in use count data quality check.

Managing monthly expected text values in use count 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_expected_text_values_in_use_count --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_expected_text_values_in_use_count --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_expected_text_values_in_use_count --enable-warning
                    -Wmax_missing=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_expected_text_values_in_use_count --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_expected_text_values_in_use_count --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_expected_text_values_in_use_count --enable-error
                    -Emax_missing=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_expected_text_values_in_use_count check on all tables and columns on a single data source.

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

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_expected_text_values_in_use_count

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

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

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:
          accepted_values:
            monthly_expected_text_values_in_use_count:
              parameters:
                expected_values:
                - USD
                - GBP
                - EUR
              warning:
                max_missing: 0
              error:
                max_missing: 1
              fatal:
                max_missing: 2
      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 expected_text_values_in_use_count data quality sensor.

BigQuery
{% import '/dialects/bigquery.sql.jinja2' as lib with context -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro actual_value() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    {{ actual_value() }} AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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
    COUNT(DISTINCT
        CASE
            WHEN analyzed_table.`target_column` IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table.`target_column`
            ELSE NULL
        END
    ) AS actual_value,
    MAX(3) AS expected_value
FROM `your-google-project-id`.`<target_schema>`.`<target_table>` AS analyzed_table
ClickHouse
{% import '/dialects/clickhouse.sql.jinja2' as lib with context -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro actual_value() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    {{ actual_value() }} AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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
    COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    ) AS actual_value,
    MAX(3) AS expected_value
FROM "<target_schema>"."<target_table>" AS analyzed_table
Databricks
{% import '/dialects/databricks.sql.jinja2' as lib with context -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{ lib.make_text_constant(i) }},
        {%- else -%}
            {{ lib.make_text_constant(i) }}
        {%- endif -%}
    {%- endfor -%}
{%- endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
        COUNT(DISTINCT
            CASE
                WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
                ELSE NULL
            END
        )
    {%- endif -%}
{%- endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{ render_else() }}
    END AS actual_value,
    MAX(CAST({{ parameters.expected_values | length }} AS INT)) AS expected_value_alias
    {{- 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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
            CASE
                WHEN analyzed_table.`target_column` IN ('USD','GBP','EUR')
                THEN analyzed_table.`target_column`
                ELSE NULL
            END
        )
    END AS actual_value,
    MAX(CAST(3 AS INT)) AS expected_value_alias
FROM `<target_schema>`.`<target_table>` AS analyzed_table
DB2
{% import '/dialects/db2.sql.jinja2' as lib with context -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    MAX(0)
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) expected_value
FROM(
    SELECT
        original_table.*
    FROM "<target_schema>"."<target_table>" original_table) analyzed_table
DuckDB
{% import '/dialects/duckdb.sql.jinja2' as lib with context -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_value
FROM  AS analyzed_table
HANA
{% import '/dialects/hana.sql.jinja2' as lib with context -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro actual_value() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CAST({{ actual_value() }} AS BIGINT) AS actual_value,
    MAX({{ parameters.expected_values | length }} ) AS expected_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
    CAST(COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    ) AS BIGINT) AS actual_value,
    MAX(3 ) AS expected_value
FROM (
    SELECT
        original_table.*
    FROM "<target_schema>"."<target_table>" original_table
) analyzed_table
MariaDB
{% import '/dialects/mariadb.sql.jinja2' as lib with context -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN MAX(0)
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN MAX(0)
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table.`target_column` IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table.`target_column`
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_value
FROM `<target_table>` AS analyzed_table
MySQL
{% import '/dialects/mysql.sql.jinja2' as lib with context -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN MAX(0)
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN MAX(0)
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table.`target_column` IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table.`target_column`
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_value
FROM `<target_table>` AS analyzed_table
Oracle
{% import '/dialects/oracle.sql.jinja2' as lib with context -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    MAX(0)
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) expected_value
FROM(
    SELECT
        original_table.*
    FROM "<target_schema>"."<target_table>" original_table
) analyzed_table
PostgreSQL
{% import '/dialects/postgresql.sql.jinja2' as lib with context -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_value
FROM "your_postgresql_database"."<target_schema>"."<target_table>" AS analyzed_table
Presto
{% import '/dialects/presto.sql.jinja2' as lib with context -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro actual_value() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CAST({{ actual_value() }} AS BIGINT) AS actual_value,
    MAX({{ parameters.expected_values | length }} ) AS expected_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
    CAST(COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    ) AS BIGINT) AS actual_value,
    MAX(3 ) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_actual_value() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT_DISTINCT(
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    {{render_actual_value()}} AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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
    COUNT_DISTINCT(
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    ) AS actual_value,
    MAX(3) AS expected_value
FROM(
    SELECT
        original_table.*
    FROM "<target_table>" original_table
) analyzed_table
Redshift
{% import '/dialects/redshift.sql.jinja2' as lib with context -%}
{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_value
FROM "your_redshift_database"."<target_schema>"."<target_table>" AS analyzed_table
Snowflake
{% import '/dialects/snowflake.sql.jinja2' as lib with context -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_value
FROM "your_snowflake_database"."<target_schema>"."<target_table>" AS analyzed_table
Spark
{% import '/dialects/spark.sql.jinja2' as lib with context -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{ lib.make_text_constant(i) }},
        {%- else -%}
            {{ lib.make_text_constant(i) }}
        {%- endif -%}
    {%- endfor -%}
{%- endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
        COUNT(DISTINCT
            CASE
                WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
                ELSE NULL
            END
        )
    {%- endif -%}
{%- endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{ render_else() }}
    END AS actual_value,
    MAX(CAST({{ parameters.expected_values | length }} AS INT)) AS expected_value_alias
    {{- 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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
            CASE
                WHEN analyzed_table.`target_column` IN ('USD','GBP','EUR')
                THEN analyzed_table.`target_column`
                ELSE NULL
            END
        )
    END AS actual_value,
    MAX(CAST(3 AS INT)) AS expected_value_alias
FROM `<target_schema>`.`<target_table>` AS analyzed_table
SQL Server
{% import '/dialects/sqlserver.sql.jinja2' as lib with context -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT_BIG(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT_BIG(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN NULL
        ELSE COUNT_BIG(DISTINCT
        CASE
            WHEN analyzed_table.[target_column] IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table.[target_column]
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_value
FROM [your_sql_server_database].[<target_schema>].[<target_table>] AS analyzed_table
Teradata
{% import '/dialects/teradata.sql.jinja2' as lib with context -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{ lib.make_text_constant(i) }},
        {%- else -%}
            {{ lib.make_text_constant(i) }}
        {%- endif -%}
    {%- endfor -%}
{%- endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
        COUNT(DISTINCT
            CASE
                WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
                ELSE NULL
            END
        )
    {%- endif -%}
{%- endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{ render_else() }}
    END AS actual_value,
    MAX(CAST({{ parameters.expected_values | length }} AS INT)) AS expected_value_alias
    {{- 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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
            CASE
                WHEN analyzed_table."target_column" IN ('USD','GBP','EUR')
                THEN analyzed_table."target_column"
                ELSE NULL
            END
        )
    END AS actual_value,
    MAX(CAST(3 AS INT)) AS expected_value_alias
FROM "<target_schema>"."<target_table>" AS analyzed_table
Trino
{% import '/dialects/trino.sql.jinja2' as lib with context -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro actual_value() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CAST({{ actual_value() }} AS BIGINT) AS actual_value,
    MAX({{ parameters.expected_values | length }} ) AS expected_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
    CAST(COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    ) AS BIGINT) AS actual_value,
    MAX(3 ) AS expected_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:
          accepted_values:
            monthly_expected_text_values_in_use_count:
              parameters:
                expected_values:
                - USD
                - GBP
                - EUR
              warning:
                max_missing: 0
              error:
                max_missing: 1
              fatal:
                max_missing: 2
      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 expected_text_values_in_use_count sensor.

BigQuery
{% import '/dialects/bigquery.sql.jinja2' as lib with context -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro actual_value() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    {{ actual_value() }} AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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
    COUNT(DISTINCT
        CASE
            WHEN analyzed_table.`target_column` IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table.`target_column`
            ELSE NULL
        END
    ) AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro actual_value() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    {{ actual_value() }} AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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
    COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    ) AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{ lib.make_text_constant(i) }},
        {%- else -%}
            {{ lib.make_text_constant(i) }}
        {%- endif -%}
    {%- endfor -%}
{%- endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
        COUNT(DISTINCT
            CASE
                WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
                ELSE NULL
            END
        )
    {%- endif -%}
{%- endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{ render_else() }}
    END AS actual_value,
    MAX(CAST({{ parameters.expected_values | length }} AS INT)) AS expected_value_alias
    {{- 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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
            CASE
                WHEN analyzed_table.`target_column` IN ('USD','GBP','EUR')
                THEN analyzed_table.`target_column`
                ELSE NULL
            END
        )
    END AS actual_value,
    MAX(CAST(3 AS INT)) AS expected_value_alias,
    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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    MAX(0)
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro actual_value() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CAST({{ actual_value() }} AS BIGINT) AS actual_value,
    MAX({{ parameters.expected_values | length }} ) AS expected_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
    CAST(COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    ) AS BIGINT) AS actual_value,
    MAX(3 ) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN MAX(0)
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN MAX(0)
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table.`target_column` IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table.`target_column`
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN MAX(0)
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN MAX(0)
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table.`target_column` IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table.`target_column`
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    MAX(0)
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro actual_value() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CAST({{ actual_value() }} AS BIGINT) AS actual_value,
    MAX({{ parameters.expected_values | length }} ) AS expected_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
    CAST(COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    ) AS BIGINT) AS actual_value,
    MAX(3 ) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_actual_value() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT_DISTINCT(
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    {{render_actual_value()}} AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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
    COUNT_DISTINCT(
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    ) AS actual_value,
    MAX(3) AS expected_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
) 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 -%}
{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{ lib.make_text_constant(i) }},
        {%- else -%}
            {{ lib.make_text_constant(i) }}
        {%- endif -%}
    {%- endfor -%}
{%- endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
        COUNT(DISTINCT
            CASE
                WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
                ELSE NULL
            END
        )
    {%- endif -%}
{%- endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{ render_else() }}
    END AS actual_value,
    MAX(CAST({{ parameters.expected_values | length }} AS INT)) AS expected_value_alias
    {{- 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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
            CASE
                WHEN analyzed_table.`target_column` IN ('USD','GBP','EUR')
                THEN analyzed_table.`target_column`
                ELSE NULL
            END
        )
    END AS actual_value,
    MAX(CAST(3 AS INT)) AS expected_value_alias,
    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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT_BIG(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT_BIG(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN NULL
        ELSE COUNT_BIG(DISTINCT
        CASE
            WHEN analyzed_table.[target_column] IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table.[target_column]
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{ lib.make_text_constant(i) }},
        {%- else -%}
            {{ lib.make_text_constant(i) }}
        {%- endif -%}
    {%- endfor -%}
{%- endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
        COUNT(DISTINCT
            CASE
                WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
                ELSE NULL
            END
        )
    {%- endif -%}
{%- endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{ render_else() }}
    END AS actual_value,
    MAX(CAST({{ parameters.expected_values | length }} AS INT)) AS expected_value_alias
    {{- 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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
            CASE
                WHEN analyzed_table."target_column" IN ('USD','GBP','EUR')
                THEN analyzed_table."target_column"
                ELSE NULL
            END
        )
    END AS actual_value,
    MAX(CAST(3 AS INT)) AS expected_value_alias,
    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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro actual_value() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CAST({{ actual_value() }} AS BIGINT) AS actual_value,
    MAX({{ parameters.expected_values | length }} ) AS expected_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
    CAST(COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    ) AS BIGINT) AS actual_value,
    MAX(3 ) AS expected_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 expected text values in use count

Check description

Verifies that the expected string values were found in the column. Raises a data quality issue when too many expected values were not found (were missing). Stores a separate data quality check result for each daily partition.

Data quality check name Friendly name Category Check type Time scale Quality dimension Sensor definition Quality rule Standard
daily_partition_expected_text_values_in_use_count Maximum number of expected text values that are not in use accepted_values partitioned daily Reasonableness expected_text_values_in_use_count max_missing

Command-line examples

Please expand the section below to see the DQOps command-line examples to run or activate the daily partition expected text values in use count data quality check.

Managing daily partition expected text values in use count 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_expected_text_values_in_use_count --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_expected_text_values_in_use_count --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_expected_text_values_in_use_count --enable-warning
                    -Wmax_missing=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_expected_text_values_in_use_count --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_expected_text_values_in_use_count --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_expected_text_values_in_use_count --enable-error
                    -Emax_missing=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_expected_text_values_in_use_count check on all tables and columns on a single data source.

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

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_expected_text_values_in_use_count

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

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

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:
          accepted_values:
            daily_partition_expected_text_values_in_use_count:
              parameters:
                expected_values:
                - USD
                - GBP
                - EUR
              warning:
                max_missing: 0
              error:
                max_missing: 1
              fatal:
                max_missing: 2
      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 expected_text_values_in_use_count data quality sensor.

BigQuery
{% import '/dialects/bigquery.sql.jinja2' as lib with context -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro actual_value() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    {{ actual_value() }} AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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
    COUNT(DISTINCT
        CASE
            WHEN analyzed_table.`target_column` IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table.`target_column`
            ELSE NULL
        END
    ) AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro actual_value() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    {{ actual_value() }} AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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
    COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    ) AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{ lib.make_text_constant(i) }},
        {%- else -%}
            {{ lib.make_text_constant(i) }}
        {%- endif -%}
    {%- endfor -%}
{%- endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
        COUNT(DISTINCT
            CASE
                WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
                ELSE NULL
            END
        )
    {%- endif -%}
{%- endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{ render_else() }}
    END AS actual_value,
    MAX(CAST({{ parameters.expected_values | length }} AS INT)) AS expected_value_alias
    {{- 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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
            CASE
                WHEN analyzed_table.`target_column` IN ('USD','GBP','EUR')
                THEN analyzed_table.`target_column`
                ELSE NULL
            END
        )
    END AS actual_value,
    MAX(CAST(3 AS INT)) AS expected_value_alias,
    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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    MAX(0)
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro actual_value() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CAST({{ actual_value() }} AS BIGINT) AS actual_value,
    MAX({{ parameters.expected_values | length }} ) AS expected_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
    CAST(COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    ) AS BIGINT) AS actual_value,
    MAX(3 ) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN MAX(0)
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN MAX(0)
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table.`target_column` IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table.`target_column`
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN MAX(0)
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN MAX(0)
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table.`target_column` IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table.`target_column`
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    MAX(0)
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro actual_value() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CAST({{ actual_value() }} AS BIGINT) AS actual_value,
    MAX({{ parameters.expected_values | length }} ) AS expected_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
    CAST(COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    ) AS BIGINT) AS actual_value,
    MAX(3 ) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_actual_value() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT_DISTINCT(
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    {{render_actual_value()}} AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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
    COUNT_DISTINCT(
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    ) AS actual_value,
    MAX(3) AS expected_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
) 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 -%}
{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{ lib.make_text_constant(i) }},
        {%- else -%}
            {{ lib.make_text_constant(i) }}
        {%- endif -%}
    {%- endfor -%}
{%- endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
        COUNT(DISTINCT
            CASE
                WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
                ELSE NULL
            END
        )
    {%- endif -%}
{%- endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{ render_else() }}
    END AS actual_value,
    MAX(CAST({{ parameters.expected_values | length }} AS INT)) AS expected_value_alias
    {{- 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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
            CASE
                WHEN analyzed_table.`target_column` IN ('USD','GBP','EUR')
                THEN analyzed_table.`target_column`
                ELSE NULL
            END
        )
    END AS actual_value,
    MAX(CAST(3 AS INT)) AS expected_value_alias,
    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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT_BIG(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT_BIG(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN NULL
        ELSE COUNT_BIG(DISTINCT
        CASE
            WHEN analyzed_table.[target_column] IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table.[target_column]
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{ lib.make_text_constant(i) }},
        {%- else -%}
            {{ lib.make_text_constant(i) }}
        {%- endif -%}
    {%- endfor -%}
{%- endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
        COUNT(DISTINCT
            CASE
                WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
                ELSE NULL
            END
        )
    {%- endif -%}
{%- endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{ render_else() }}
    END AS actual_value,
    MAX(CAST({{ parameters.expected_values | length }} AS INT)) AS expected_value_alias
    {{- 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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
            CASE
                WHEN analyzed_table."target_column" IN ('USD','GBP','EUR')
                THEN analyzed_table."target_column"
                ELSE NULL
            END
        )
    END AS actual_value,
    MAX(CAST(3 AS INT)) AS expected_value_alias,
    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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro actual_value() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CAST({{ actual_value() }} AS BIGINT) AS actual_value,
    MAX({{ parameters.expected_values | length }} ) AS expected_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
    CAST(COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    ) AS BIGINT) AS actual_value,
    MAX(3 ) AS expected_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:
          accepted_values:
            daily_partition_expected_text_values_in_use_count:
              parameters:
                expected_values:
                - USD
                - GBP
                - EUR
              warning:
                max_missing: 0
              error:
                max_missing: 1
              fatal:
                max_missing: 2
      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 expected_text_values_in_use_count sensor.

BigQuery
{% import '/dialects/bigquery.sql.jinja2' as lib with context -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro actual_value() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    {{ actual_value() }} AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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
    COUNT(DISTINCT
        CASE
            WHEN analyzed_table.`target_column` IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table.`target_column`
            ELSE NULL
        END
    ) AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro actual_value() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    {{ actual_value() }} AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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
    COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    ) AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{ lib.make_text_constant(i) }},
        {%- else -%}
            {{ lib.make_text_constant(i) }}
        {%- endif -%}
    {%- endfor -%}
{%- endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
        COUNT(DISTINCT
            CASE
                WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
                ELSE NULL
            END
        )
    {%- endif -%}
{%- endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{ render_else() }}
    END AS actual_value,
    MAX(CAST({{ parameters.expected_values | length }} AS INT)) AS expected_value_alias
    {{- 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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
            CASE
                WHEN analyzed_table.`target_column` IN ('USD','GBP','EUR')
                THEN analyzed_table.`target_column`
                ELSE NULL
            END
        )
    END AS actual_value,
    MAX(CAST(3 AS INT)) AS expected_value_alias,
    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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    MAX(0)
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro actual_value() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CAST({{ actual_value() }} AS BIGINT) AS actual_value,
    MAX({{ parameters.expected_values | length }} ) AS expected_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
    CAST(COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    ) AS BIGINT) AS actual_value,
    MAX(3 ) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN MAX(0)
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN MAX(0)
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table.`target_column` IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table.`target_column`
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN MAX(0)
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN MAX(0)
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table.`target_column` IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table.`target_column`
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    MAX(0)
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro actual_value() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CAST({{ actual_value() }} AS BIGINT) AS actual_value,
    MAX({{ parameters.expected_values | length }} ) AS expected_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
    CAST(COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    ) AS BIGINT) AS actual_value,
    MAX(3 ) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_actual_value() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT_DISTINCT(
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    {{render_actual_value()}} AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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
    COUNT_DISTINCT(
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    ) AS actual_value,
    MAX(3) AS expected_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
) 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 -%}
{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{ lib.make_text_constant(i) }},
        {%- else -%}
            {{ lib.make_text_constant(i) }}
        {%- endif -%}
    {%- endfor -%}
{%- endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
        COUNT(DISTINCT
            CASE
                WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
                ELSE NULL
            END
        )
    {%- endif -%}
{%- endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{ render_else() }}
    END AS actual_value,
    MAX(CAST({{ parameters.expected_values | length }} AS INT)) AS expected_value_alias
    {{- 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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
            CASE
                WHEN analyzed_table.`target_column` IN ('USD','GBP','EUR')
                THEN analyzed_table.`target_column`
                ELSE NULL
            END
        )
    END AS actual_value,
    MAX(CAST(3 AS INT)) AS expected_value_alias,
    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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT_BIG(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT_BIG(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN NULL
        ELSE COUNT_BIG(DISTINCT
        CASE
            WHEN analyzed_table.[target_column] IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table.[target_column]
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{ lib.make_text_constant(i) }},
        {%- else -%}
            {{ lib.make_text_constant(i) }}
        {%- endif -%}
    {%- endfor -%}
{%- endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
        COUNT(DISTINCT
            CASE
                WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
                ELSE NULL
            END
        )
    {%- endif -%}
{%- endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{ render_else() }}
    END AS actual_value,
    MAX(CAST({{ parameters.expected_values | length }} AS INT)) AS expected_value_alias
    {{- 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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
            CASE
                WHEN analyzed_table."target_column" IN ('USD','GBP','EUR')
                THEN analyzed_table."target_column"
                ELSE NULL
            END
        )
    END AS actual_value,
    MAX(CAST(3 AS INT)) AS expected_value_alias,
    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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro actual_value() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CAST({{ actual_value() }} AS BIGINT) AS actual_value,
    MAX({{ parameters.expected_values | length }} ) AS expected_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
    CAST(COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    ) AS BIGINT) AS actual_value,
    MAX(3 ) AS expected_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 expected text values in use count

Check description

Verifies that the expected string values were found in the column. Raises a data quality issue when too many expected values were not found (were missing). Stores a separate data quality check result for each monthly partition.

Data quality check name Friendly name Category Check type Time scale Quality dimension Sensor definition Quality rule Standard
monthly_partition_expected_text_values_in_use_count Maximum number of expected text values that are not in use accepted_values partitioned monthly Reasonableness expected_text_values_in_use_count max_missing

Command-line examples

Please expand the section below to see the DQOps command-line examples to run or activate the monthly partition expected text values in use count data quality check.

Managing monthly partition expected text values in use count 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_expected_text_values_in_use_count --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_expected_text_values_in_use_count --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_expected_text_values_in_use_count --enable-warning
                    -Wmax_missing=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_expected_text_values_in_use_count --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_expected_text_values_in_use_count --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_expected_text_values_in_use_count --enable-error
                    -Emax_missing=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_expected_text_values_in_use_count check on all tables and columns on a single data source.

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

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_expected_text_values_in_use_count

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

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

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:
          accepted_values:
            monthly_partition_expected_text_values_in_use_count:
              parameters:
                expected_values:
                - USD
                - GBP
                - EUR
              warning:
                max_missing: 0
              error:
                max_missing: 1
              fatal:
                max_missing: 2
      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 expected_text_values_in_use_count data quality sensor.

BigQuery
{% import '/dialects/bigquery.sql.jinja2' as lib with context -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro actual_value() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    {{ actual_value() }} AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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
    COUNT(DISTINCT
        CASE
            WHEN analyzed_table.`target_column` IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table.`target_column`
            ELSE NULL
        END
    ) AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro actual_value() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    {{ actual_value() }} AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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
    COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    ) AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{ lib.make_text_constant(i) }},
        {%- else -%}
            {{ lib.make_text_constant(i) }}
        {%- endif -%}
    {%- endfor -%}
{%- endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
        COUNT(DISTINCT
            CASE
                WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
                ELSE NULL
            END
        )
    {%- endif -%}
{%- endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{ render_else() }}
    END AS actual_value,
    MAX(CAST({{ parameters.expected_values | length }} AS INT)) AS expected_value_alias
    {{- 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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
            CASE
                WHEN analyzed_table.`target_column` IN ('USD','GBP','EUR')
                THEN analyzed_table.`target_column`
                ELSE NULL
            END
        )
    END AS actual_value,
    MAX(CAST(3 AS INT)) AS expected_value_alias,
    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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    MAX(0)
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro actual_value() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CAST({{ actual_value() }} AS BIGINT) AS actual_value,
    MAX({{ parameters.expected_values | length }} ) AS expected_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
    CAST(COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    ) AS BIGINT) AS actual_value,
    MAX(3 ) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN MAX(0)
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN MAX(0)
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table.`target_column` IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table.`target_column`
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN MAX(0)
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN MAX(0)
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table.`target_column` IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table.`target_column`
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    MAX(0)
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro actual_value() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CAST({{ actual_value() }} AS BIGINT) AS actual_value,
    MAX({{ parameters.expected_values | length }} ) AS expected_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
    CAST(COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    ) AS BIGINT) AS actual_value,
    MAX(3 ) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_actual_value() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT_DISTINCT(
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    {{render_actual_value()}} AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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
    COUNT_DISTINCT(
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    ) AS actual_value,
    MAX(3) AS expected_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
) 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 -%}
{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{ lib.make_text_constant(i) }},
        {%- else -%}
            {{ lib.make_text_constant(i) }}
        {%- endif -%}
    {%- endfor -%}
{%- endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
        COUNT(DISTINCT
            CASE
                WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
                ELSE NULL
            END
        )
    {%- endif -%}
{%- endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{ render_else() }}
    END AS actual_value,
    MAX(CAST({{ parameters.expected_values | length }} AS INT)) AS expected_value_alias
    {{- 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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
            CASE
                WHEN analyzed_table.`target_column` IN ('USD','GBP','EUR')
                THEN analyzed_table.`target_column`
                ELSE NULL
            END
        )
    END AS actual_value,
    MAX(CAST(3 AS INT)) AS expected_value_alias,
    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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT_BIG(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT_BIG(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN NULL
        ELSE COUNT_BIG(DISTINCT
        CASE
            WHEN analyzed_table.[target_column] IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table.[target_column]
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{ lib.make_text_constant(i) }},
        {%- else -%}
            {{ lib.make_text_constant(i) }}
        {%- endif -%}
    {%- endfor -%}
{%- endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
        COUNT(DISTINCT
            CASE
                WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
                ELSE NULL
            END
        )
    {%- endif -%}
{%- endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{ render_else() }}
    END AS actual_value,
    MAX(CAST({{ parameters.expected_values | length }} AS INT)) AS expected_value_alias
    {{- 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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
            CASE
                WHEN analyzed_table."target_column" IN ('USD','GBP','EUR')
                THEN analyzed_table."target_column"
                ELSE NULL
            END
        )
    END AS actual_value,
    MAX(CAST(3 AS INT)) AS expected_value_alias,
    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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro actual_value() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CAST({{ actual_value() }} AS BIGINT) AS actual_value,
    MAX({{ parameters.expected_values | length }} ) AS expected_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
    CAST(COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    ) AS BIGINT) AS actual_value,
    MAX(3 ) AS expected_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:
          accepted_values:
            monthly_partition_expected_text_values_in_use_count:
              parameters:
                expected_values:
                - USD
                - GBP
                - EUR
              warning:
                max_missing: 0
              error:
                max_missing: 1
              fatal:
                max_missing: 2
      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 expected_text_values_in_use_count sensor.

BigQuery
{% import '/dialects/bigquery.sql.jinja2' as lib with context -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro actual_value() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    {{ actual_value() }} AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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
    COUNT(DISTINCT
        CASE
            WHEN analyzed_table.`target_column` IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table.`target_column`
            ELSE NULL
        END
    ) AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro actual_value() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    {{ actual_value() }} AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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
    COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    ) AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{ lib.make_text_constant(i) }},
        {%- else -%}
            {{ lib.make_text_constant(i) }}
        {%- endif -%}
    {%- endfor -%}
{%- endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
        COUNT(DISTINCT
            CASE
                WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
                ELSE NULL
            END
        )
    {%- endif -%}
{%- endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{ render_else() }}
    END AS actual_value,
    MAX(CAST({{ parameters.expected_values | length }} AS INT)) AS expected_value_alias
    {{- 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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
            CASE
                WHEN analyzed_table.`target_column` IN ('USD','GBP','EUR')
                THEN analyzed_table.`target_column`
                ELSE NULL
            END
        )
    END AS actual_value,
    MAX(CAST(3 AS INT)) AS expected_value_alias,
    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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    MAX(0)
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro actual_value() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CAST({{ actual_value() }} AS BIGINT) AS actual_value,
    MAX({{ parameters.expected_values | length }} ) AS expected_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
    CAST(COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    ) AS BIGINT) AS actual_value,
    MAX(3 ) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN MAX(0)
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN MAX(0)
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table.`target_column` IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table.`target_column`
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN MAX(0)
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN MAX(0)
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table.`target_column` IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table.`target_column`
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    MAX(0)
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro actual_value() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CAST({{ actual_value() }} AS BIGINT) AS actual_value,
    MAX({{ parameters.expected_values | length }} ) AS expected_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
    CAST(COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    ) AS BIGINT) AS actual_value,
    MAX(3 ) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_actual_value() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT_DISTINCT(
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    {{render_actual_value()}} AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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
    COUNT_DISTINCT(
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    ) AS actual_value,
    MAX(3) AS expected_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
) 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 -%}
{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{ lib.make_text_constant(i) }},
        {%- else -%}
            {{ lib.make_text_constant(i) }}
        {%- endif -%}
    {%- endfor -%}
{%- endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
        COUNT(DISTINCT
            CASE
                WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
                ELSE NULL
            END
        )
    {%- endif -%}
{%- endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{ render_else() }}
    END AS actual_value,
    MAX(CAST({{ parameters.expected_values | length }} AS INT)) AS expected_value_alias
    {{- 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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
            CASE
                WHEN analyzed_table.`target_column` IN ('USD','GBP','EUR')
                THEN analyzed_table.`target_column`
                ELSE NULL
            END
        )
    END AS actual_value,
    MAX(CAST(3 AS INT)) AS expected_value_alias,
    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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT_BIG(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CASE
        WHEN COUNT_BIG(*) = 0 THEN NULL
        ELSE {{render_else()}}
    END AS actual_value,
    MAX({{ parameters.expected_values | length }}) AS expected_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(*) = 0 THEN NULL
        ELSE COUNT_BIG(DISTINCT
        CASE
            WHEN analyzed_table.[target_column] IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table.[target_column]
            ELSE NULL
        END
    )
    END AS actual_value,
    MAX(3) AS expected_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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{ lib.make_text_constant(i) }},
        {%- else -%}
            {{ lib.make_text_constant(i) }}
        {%- endif -%}
    {%- endfor -%}
{%- endmacro -%}

{%- macro render_else() -%}
    {%- if parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
        COUNT(DISTINCT
            CASE
                WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
                ELSE NULL
            END
        )
    {%- endif -%}
{%- endmacro -%}

SELECT
    CASE
        WHEN COUNT(*) = 0 THEN NULL
        ELSE {{ render_else() }}
    END AS actual_value,
    MAX(CAST({{ parameters.expected_values | length }} AS INT)) AS expected_value_alias
    {{- 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(*) = 0 THEN NULL
        ELSE COUNT(DISTINCT
            CASE
                WHEN analyzed_table."target_column" IN ('USD','GBP','EUR')
                THEN analyzed_table."target_column"
                ELSE NULL
            END
        )
    END AS actual_value,
    MAX(CAST(3 AS INT)) AS expected_value_alias,
    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 -%}

{%- macro extract_in_list(values_list) -%}
    {%- for i in values_list -%}
        {%- if not loop.last -%}
            {{lib.make_text_constant(i)}}{{", "}}
        {%- else -%}
            {{lib.make_text_constant(i)}}
        {%- endif -%}
    {%- endfor -%}
{% endmacro -%}

{%- macro actual_value() -%}
    {%- if 'expected_values' not in parameters or parameters.expected_values|length == 0 -%}
    0
    {%- else -%}
    COUNT(DISTINCT
        CASE
            WHEN {{ lib.render_target_column('analyzed_table') }} IN ({{ extract_in_list(parameters.expected_values) }})
                THEN {{ lib.render_target_column('analyzed_table') }}
            ELSE NULL
        END
    )
    {%- endif -%}
{% endmacro -%}

SELECT
    CAST({{ actual_value() }} AS BIGINT) AS actual_value,
    MAX({{ parameters.expected_values | length }} ) AS expected_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
    CAST(COUNT(DISTINCT
        CASE
            WHEN analyzed_table."target_column" IN ('USD', 'GBP', 'EUR')
                THEN analyzed_table."target_column"
            ELSE NULL
        END
    ) AS BIGINT) AS actual_value,
    MAX(3 ) AS expected_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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