expected strings in use count
expected strings in use count checks
Description
Column level check that counts unique values in a string 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 of maximum number of missing values was 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 that all status codes are in use in any row.
profile expected strings 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).
| Check name | Check type | Time scale | Sensor definition | Quality rule |
|---|---|---|---|---|
| profile_expected_strings_in_use_count | profiling | expected_strings_in_use_count | max_missing |
Enable check (Shell)
To enable this check provide connection name and check name in check enable command
To run this check provide check name in check run command It is also possible to run this check on a specific connection. In order to do this, add the connection name to the below It is additionally feasible to run this check on a specific table. In order to do this, add the table name to the below It is furthermore viable to combine run this check on a specific column. In order to do this, add the column name to the below
dqo> check run -c=connection_name -t=table_name -col=column_name -ch=profile_expected_strings_in_use_count
profiling_checks:
strings:
profile_expected_strings_in_use_count:
parameters:
expected_values:
- USD
- GBP
- EUR
warning:
max_missing: 1
error:
max_missing: 1
fatal:
max_missing: 2
# yaml-language-server: $schema=https://cloud.dqo.ai/dqo-yaml-schema/TableYaml-schema.json
apiVersion: dqo/v1
kind: table
spec:
timestamp_columns:
event_timestamp_column: col_event_timestamp
ingestion_timestamp_column: col_inserted_at
incremental_time_window:
daily_partitioning_recent_days: 7
monthly_partitioning_recent_months: 1
columns:
target_column:
profiling_checks:
strings:
profile_expected_strings_in_use_count:
parameters:
expected_values:
- USD
- GBP
- EUR
warning:
max_missing: 1
error:
max_missing: 1
fatal:
max_missing: 2
labels:
- This is the column that is analyzed for data quality issues
col_event_timestamp:
labels:
- optional column that stores the timestamp when the event/transaction happened
col_inserted_at:
labels:
- optional column that stores the timestamp when row was ingested
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 -%}
NULL
{%- 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(CURRENT_TIMESTAMP() AS DATE), MONTH) AS time_period,
TIMESTAMP(DATE_TRUNC(CAST(CURRENT_TIMESTAMP() 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
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(LOCALTIMESTAMP, '%Y-%m-01 00:00:00') AS time_period,
FROM_UNIXTIME(UNIX_TIMESTAMP(DATE_FORMAT(LOCALTIMESTAMP, '%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
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 -%}
NULL
{%- 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(LOCALTIMESTAMP AS date)) AS time_period,
CAST((DATE_TRUNC('MONTH', CAST(LOCALTIMESTAMP 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
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 -%}
NULL
{%- 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(LOCALTIMESTAMP AS date)) AS time_period,
CAST((DATE_TRUNC('MONTH', CAST(LOCALTIMESTAMP 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 -%}
NULL
{%- 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(TO_TIMESTAMP_NTZ(LOCALTIMESTAMP()) AS date)) AS time_period,
TO_TIMESTAMP(DATE_TRUNC('MONTH', CAST(TO_TIMESTAMP_NTZ(LOCALTIMESTAMP()) 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
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 -%}
NULL
{%- 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,
DATEADD(month, DATEDIFF(month, 0, SYSDATETIMEOFFSET()), 0) AS time_period,
CAST((DATEADD(month, DATEDIFF(month, 0, SYSDATETIMEOFFSET()), 0)) AS DATETIME) AS time_period_utc
FROM [your_sql_server_database].[<target_schema>].[<target_table>] AS analyzed_table
Configuration with data grouping
Click to see more
Sample configuration (Yaml)
# yaml-language-server: $schema=https://cloud.dqo.ai/dqo-yaml-schema/TableYaml-schema.json
apiVersion: dqo/v1
kind: table
spec:
timestamp_columns:
event_timestamp_column: col_event_timestamp
ingestion_timestamp_column: col_inserted_at
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:
profiling_checks:
strings:
profile_expected_strings_in_use_count:
parameters:
expected_values:
- USD
- GBP
- EUR
warning:
max_missing: 1
error:
max_missing: 1
fatal:
max_missing: 2
labels:
- This is the column that is analyzed for data quality issues
col_event_timestamp:
labels:
- optional column that stores the timestamp when the event/transaction happened
col_inserted_at:
labels:
- optional column that stores the timestamp when row was ingested
country:
labels:
- column used as the first grouping key
state:
labels:
- column used as the second grouping key
{% 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 -%}
NULL
{%- 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(CURRENT_TIMESTAMP() AS DATE), MONTH) AS time_period,
TIMESTAMP(DATE_TRUNC(CAST(CURRENT_TIMESTAMP() 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
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(LOCALTIMESTAMP, '%Y-%m-01 00:00:00') AS time_period,
FROM_UNIXTIME(UNIX_TIMESTAMP(DATE_FORMAT(LOCALTIMESTAMP, '%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
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 -%}
NULL
{%- 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(LOCALTIMESTAMP AS date)) AS time_period,
CAST((DATE_TRUNC('MONTH', CAST(LOCALTIMESTAMP 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
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 -%}
NULL
{%- 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(LOCALTIMESTAMP AS date)) AS time_period,
CAST((DATE_TRUNC('MONTH', CAST(LOCALTIMESTAMP 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 -%}
NULL
{%- 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(TO_TIMESTAMP_NTZ(LOCALTIMESTAMP()) AS date)) AS time_period,
TO_TIMESTAMP(DATE_TRUNC('MONTH', CAST(TO_TIMESTAMP_NTZ(LOCALTIMESTAMP()) 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
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 -%}
NULL
{%- 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,
DATEADD(month, DATEDIFF(month, 0, SYSDATETIMEOFFSET()), 0) AS time_period,
CAST((DATEADD(month, DATEDIFF(month, 0, SYSDATETIMEOFFSET()), 0)) 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]
ORDER BY level_1, level_2
,
daily expected strings 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.
| Check name | Check type | Time scale | Sensor definition | Quality rule |
|---|---|---|---|---|
| daily_expected_strings_in_use_count | recurring | daily | expected_strings_in_use_count | max_missing |
Enable check (Shell)
To enable this check provide connection name and check name in check enable command
To run this check provide check name in check run command It is also possible to run this check on a specific connection. In order to do this, add the connection name to the below It is additionally feasible to run this check on a specific table. In order to do this, add the table name to the below It is furthermore viable to combine run this check on a specific column. In order to do this, add the column name to the below
dqo> check run -c=connection_name -t=table_name -col=column_name -ch=daily_expected_strings_in_use_count
recurring_checks:
daily:
strings:
daily_expected_strings_in_use_count:
parameters:
expected_values:
- USD
- GBP
- EUR
warning:
max_missing: 1
error:
max_missing: 1
fatal:
max_missing: 2
# yaml-language-server: $schema=https://cloud.dqo.ai/dqo-yaml-schema/TableYaml-schema.json
apiVersion: dqo/v1
kind: table
spec:
timestamp_columns:
event_timestamp_column: col_event_timestamp
ingestion_timestamp_column: col_inserted_at
incremental_time_window:
daily_partitioning_recent_days: 7
monthly_partitioning_recent_months: 1
columns:
target_column:
recurring_checks:
daily:
strings:
daily_expected_strings_in_use_count:
parameters:
expected_values:
- USD
- GBP
- EUR
warning:
max_missing: 1
error:
max_missing: 1
fatal:
max_missing: 2
labels:
- This is the column that is analyzed for data quality issues
col_event_timestamp:
labels:
- optional column that stores the timestamp when the event/transaction happened
col_inserted_at:
labels:
- optional column that stores the timestamp when row was ingested
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 -%}
NULL
{%- 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(CURRENT_TIMESTAMP() AS DATE) AS time_period,
TIMESTAMP(CAST(CURRENT_TIMESTAMP() 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
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(LOCALTIMESTAMP, '%Y-%m-%d 00:00:00') AS time_period,
FROM_UNIXTIME(UNIX_TIMESTAMP(DATE_FORMAT(LOCALTIMESTAMP, '%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
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 -%}
NULL
{%- 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(LOCALTIMESTAMP AS date) AS time_period,
CAST((CAST(LOCALTIMESTAMP 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
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 -%}
NULL
{%- 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(LOCALTIMESTAMP AS date) AS time_period,
CAST((CAST(LOCALTIMESTAMP 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 -%}
NULL
{%- 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(TO_TIMESTAMP_NTZ(LOCALTIMESTAMP()) AS date) AS time_period,
TO_TIMESTAMP(CAST(TO_TIMESTAMP_NTZ(LOCALTIMESTAMP()) 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
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 -%}
NULL
{%- 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(SYSDATETIMEOFFSET() AS date) AS time_period,
CAST((CAST(SYSDATETIMEOFFSET() AS date)) AS DATETIME) AS time_period_utc
FROM [your_sql_server_database].[<target_schema>].[<target_table>] AS analyzed_table
Configuration with data grouping
Click to see more
Sample configuration (Yaml)
# yaml-language-server: $schema=https://cloud.dqo.ai/dqo-yaml-schema/TableYaml-schema.json
apiVersion: dqo/v1
kind: table
spec:
timestamp_columns:
event_timestamp_column: col_event_timestamp
ingestion_timestamp_column: col_inserted_at
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:
recurring_checks:
daily:
strings:
daily_expected_strings_in_use_count:
parameters:
expected_values:
- USD
- GBP
- EUR
warning:
max_missing: 1
error:
max_missing: 1
fatal:
max_missing: 2
labels:
- This is the column that is analyzed for data quality issues
col_event_timestamp:
labels:
- optional column that stores the timestamp when the event/transaction happened
col_inserted_at:
labels:
- optional column that stores the timestamp when row was ingested
country:
labels:
- column used as the first grouping key
state:
labels:
- column used as the second grouping key
{% 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 -%}
NULL
{%- 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(CURRENT_TIMESTAMP() AS DATE) AS time_period,
TIMESTAMP(CAST(CURRENT_TIMESTAMP() 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
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(LOCALTIMESTAMP, '%Y-%m-%d 00:00:00') AS time_period,
FROM_UNIXTIME(UNIX_TIMESTAMP(DATE_FORMAT(LOCALTIMESTAMP, '%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
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 -%}
NULL
{%- 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(LOCALTIMESTAMP AS date) AS time_period,
CAST((CAST(LOCALTIMESTAMP 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
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 -%}
NULL
{%- 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(LOCALTIMESTAMP AS date) AS time_period,
CAST((CAST(LOCALTIMESTAMP 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 -%}
NULL
{%- 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(TO_TIMESTAMP_NTZ(LOCALTIMESTAMP()) AS date) AS time_period,
TO_TIMESTAMP(CAST(TO_TIMESTAMP_NTZ(LOCALTIMESTAMP()) 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
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 -%}
NULL
{%- 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(SYSDATETIMEOFFSET() AS date) AS time_period,
CAST((CAST(SYSDATETIMEOFFSET() 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]
ORDER BY level_1, level_2
,
monthly expected strings 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 row count for each month when the data quality check was evaluated.
| Check name | Check type | Time scale | Sensor definition | Quality rule |
|---|---|---|---|---|
| monthly_expected_strings_in_use_count | recurring | monthly | expected_strings_in_use_count | max_missing |
Enable check (Shell)
To enable this check provide connection name and check name in check enable command
To run this check provide check name in check run command It is also possible to run this check on a specific connection. In order to do this, add the connection name to the below It is additionally feasible to run this check on a specific table. In order to do this, add the table name to the below It is furthermore viable to combine run this check on a specific column. In order to do this, add the column name to the below
dqo> check run -c=connection_name -t=table_name -col=column_name -ch=monthly_expected_strings_in_use_count
recurring_checks:
monthly:
strings:
monthly_expected_strings_in_use_count:
parameters:
expected_values:
- USD
- GBP
- EUR
warning:
max_missing: 1
error:
max_missing: 1
fatal:
max_missing: 2
# yaml-language-server: $schema=https://cloud.dqo.ai/dqo-yaml-schema/TableYaml-schema.json
apiVersion: dqo/v1
kind: table
spec:
timestamp_columns:
event_timestamp_column: col_event_timestamp
ingestion_timestamp_column: col_inserted_at
incremental_time_window:
daily_partitioning_recent_days: 7
monthly_partitioning_recent_months: 1
columns:
target_column:
recurring_checks:
monthly:
strings:
monthly_expected_strings_in_use_count:
parameters:
expected_values:
- USD
- GBP
- EUR
warning:
max_missing: 1
error:
max_missing: 1
fatal:
max_missing: 2
labels:
- This is the column that is analyzed for data quality issues
col_event_timestamp:
labels:
- optional column that stores the timestamp when the event/transaction happened
col_inserted_at:
labels:
- optional column that stores the timestamp when row was ingested
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 -%}
NULL
{%- 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(CURRENT_TIMESTAMP() AS DATE), MONTH) AS time_period,
TIMESTAMP(DATE_TRUNC(CAST(CURRENT_TIMESTAMP() 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
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(LOCALTIMESTAMP, '%Y-%m-01 00:00:00') AS time_period,
FROM_UNIXTIME(UNIX_TIMESTAMP(DATE_FORMAT(LOCALTIMESTAMP, '%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
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 -%}
NULL
{%- 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(LOCALTIMESTAMP AS date)) AS time_period,
CAST((DATE_TRUNC('MONTH', CAST(LOCALTIMESTAMP 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
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 -%}
NULL
{%- 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(LOCALTIMESTAMP AS date)) AS time_period,
CAST((DATE_TRUNC('MONTH', CAST(LOCALTIMESTAMP 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 -%}
NULL
{%- 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(TO_TIMESTAMP_NTZ(LOCALTIMESTAMP()) AS date)) AS time_period,
TO_TIMESTAMP(DATE_TRUNC('MONTH', CAST(TO_TIMESTAMP_NTZ(LOCALTIMESTAMP()) 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
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 -%}
NULL
{%- 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,
DATEADD(month, DATEDIFF(month, 0, SYSDATETIMEOFFSET()), 0) AS time_period,
CAST((DATEADD(month, DATEDIFF(month, 0, SYSDATETIMEOFFSET()), 0)) AS DATETIME) AS time_period_utc
FROM [your_sql_server_database].[<target_schema>].[<target_table>] AS analyzed_table
Configuration with data grouping
Click to see more
Sample configuration (Yaml)
# yaml-language-server: $schema=https://cloud.dqo.ai/dqo-yaml-schema/TableYaml-schema.json
apiVersion: dqo/v1
kind: table
spec:
timestamp_columns:
event_timestamp_column: col_event_timestamp
ingestion_timestamp_column: col_inserted_at
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:
recurring_checks:
monthly:
strings:
monthly_expected_strings_in_use_count:
parameters:
expected_values:
- USD
- GBP
- EUR
warning:
max_missing: 1
error:
max_missing: 1
fatal:
max_missing: 2
labels:
- This is the column that is analyzed for data quality issues
col_event_timestamp:
labels:
- optional column that stores the timestamp when the event/transaction happened
col_inserted_at:
labels:
- optional column that stores the timestamp when row was ingested
country:
labels:
- column used as the first grouping key
state:
labels:
- column used as the second grouping key
{% 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 -%}
NULL
{%- 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(CURRENT_TIMESTAMP() AS DATE), MONTH) AS time_period,
TIMESTAMP(DATE_TRUNC(CAST(CURRENT_TIMESTAMP() 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
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(LOCALTIMESTAMP, '%Y-%m-01 00:00:00') AS time_period,
FROM_UNIXTIME(UNIX_TIMESTAMP(DATE_FORMAT(LOCALTIMESTAMP, '%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
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 -%}
NULL
{%- 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(LOCALTIMESTAMP AS date)) AS time_period,
CAST((DATE_TRUNC('MONTH', CAST(LOCALTIMESTAMP 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
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 -%}
NULL
{%- 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(LOCALTIMESTAMP AS date)) AS time_period,
CAST((DATE_TRUNC('MONTH', CAST(LOCALTIMESTAMP 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 -%}
NULL
{%- 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(TO_TIMESTAMP_NTZ(LOCALTIMESTAMP()) AS date)) AS time_period,
TO_TIMESTAMP(DATE_TRUNC('MONTH', CAST(TO_TIMESTAMP_NTZ(LOCALTIMESTAMP()) 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
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 -%}
NULL
{%- 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,
DATEADD(month, DATEDIFF(month, 0, SYSDATETIMEOFFSET()), 0) AS time_period,
CAST((DATEADD(month, DATEDIFF(month, 0, SYSDATETIMEOFFSET()), 0)) 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]
ORDER BY level_1, level_2
,
daily partition expected strings 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). Creates a separate data quality check (and an alert) for each daily partition.
| Check name | Check type | Time scale | Sensor definition | Quality rule |
|---|---|---|---|---|
| daily_partition_expected_strings_in_use_count | partitioned | daily | expected_strings_in_use_count | max_missing |
Enable check (Shell)
To enable this check provide connection name and check name in check enable command
To run this check provide check name in check run command It is also possible to run this check on a specific connection. In order to do this, add the connection name to the below It is additionally feasible to run this check on a specific table. In order to do this, add the table name to the below It is furthermore viable to combine run this check on a specific column. In order to do this, add the column name to the below
dqo> check run -c=connection_name -t=table_name -col=column_name -ch=daily_partition_expected_strings_in_use_count
partitioned_checks:
daily:
strings:
daily_partition_expected_strings_in_use_count:
parameters:
expected_values:
- USD
- GBP
- EUR
warning:
max_missing: 1
error:
max_missing: 1
fatal:
max_missing: 2
# yaml-language-server: $schema=https://cloud.dqo.ai/dqo-yaml-schema/TableYaml-schema.json
apiVersion: dqo/v1
kind: table
spec:
timestamp_columns:
event_timestamp_column: col_event_timestamp
ingestion_timestamp_column: col_inserted_at
incremental_time_window:
daily_partitioning_recent_days: 7
monthly_partitioning_recent_months: 1
columns:
target_column:
partitioned_checks:
daily:
strings:
daily_partition_expected_strings_in_use_count:
parameters:
expected_values:
- USD
- GBP
- EUR
warning:
max_missing: 1
error:
max_missing: 1
fatal:
max_missing: 2
labels:
- This is the column that is analyzed for data quality issues
col_event_timestamp:
labels:
- optional column that stores the timestamp when the event/transaction happened
col_inserted_at:
labels:
- optional column that stores the timestamp when row was ingested
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 -%}
NULL
{%- 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.`` AS DATE) AS time_period,
TIMESTAMP(CAST(analyzed_table.`` 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
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.``, '%Y-%m-%d 00:00:00') AS time_period,
FROM_UNIXTIME(UNIX_TIMESTAMP(DATE_FORMAT(analyzed_table.``, '%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
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 -%}
NULL
{%- 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."" AS date) AS time_period,
CAST((CAST(analyzed_table."" 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
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 -%}
NULL
{%- 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."" AS date) AS time_period,
CAST((CAST(analyzed_table."" 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 -%}
NULL
{%- 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."" AS date) AS time_period,
TO_TIMESTAMP(CAST(analyzed_table."" 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
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 -%}
NULL
{%- 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.[] AS date) AS time_period,
CAST((CAST(analyzed_table.[] 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.[] AS date), CAST(analyzed_table.[] AS date)
ORDER BY CAST(analyzed_table.[] AS date)
Configuration with data grouping
Click to see more
Sample configuration (Yaml)
# yaml-language-server: $schema=https://cloud.dqo.ai/dqo-yaml-schema/TableYaml-schema.json
apiVersion: dqo/v1
kind: table
spec:
timestamp_columns:
event_timestamp_column: col_event_timestamp
ingestion_timestamp_column: col_inserted_at
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:
strings:
daily_partition_expected_strings_in_use_count:
parameters:
expected_values:
- USD
- GBP
- EUR
warning:
max_missing: 1
error:
max_missing: 1
fatal:
max_missing: 2
labels:
- This is the column that is analyzed for data quality issues
col_event_timestamp:
labels:
- optional column that stores the timestamp when the event/transaction happened
col_inserted_at:
labels:
- optional column that stores the timestamp when row was ingested
country:
labels:
- column used as the first grouping key
state:
labels:
- column used as the second grouping key
{% 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 -%}
NULL
{%- 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.`` AS DATE) AS time_period,
TIMESTAMP(CAST(analyzed_table.`` 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
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.``, '%Y-%m-%d 00:00:00') AS time_period,
FROM_UNIXTIME(UNIX_TIMESTAMP(DATE_FORMAT(analyzed_table.``, '%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
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 -%}
NULL
{%- 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."" AS date) AS time_period,
CAST((CAST(analyzed_table."" 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
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 -%}
NULL
{%- 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."" AS date) AS time_period,
CAST((CAST(analyzed_table."" 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 -%}
NULL
{%- 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."" AS date) AS time_period,
TO_TIMESTAMP(CAST(analyzed_table."" 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
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 -%}
NULL
{%- 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.[] AS date) AS time_period,
CAST((CAST(analyzed_table.[] 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.[] AS date), CAST(analyzed_table.[] AS date)
ORDER BY level_1, level_2CAST(analyzed_table.[] AS date)
monthly partition expected strings 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). Creates a separate data quality check (and an alert) for each monthly partition.
| Check name | Check type | Time scale | Sensor definition | Quality rule |
|---|---|---|---|---|
| monthly_partition_expected_strings_in_use_count | partitioned | monthly | expected_strings_in_use_count | max_missing |
Enable check (Shell)
To enable this check provide connection name and check name in check enable command
To run this check provide check name in check run command It is also possible to run this check on a specific connection. In order to do this, add the connection name to the below It is additionally feasible to run this check on a specific table. In order to do this, add the table name to the below It is furthermore viable to combine run this check on a specific column. In order to do this, add the column name to the below
dqo> check run -c=connection_name -t=table_name -col=column_name -ch=monthly_partition_expected_strings_in_use_count
partitioned_checks:
monthly:
strings:
monthly_partition_expected_strings_in_use_count:
parameters:
expected_values:
- USD
- GBP
- EUR
warning:
max_missing: 1
error:
max_missing: 1
fatal:
max_missing: 2
# yaml-language-server: $schema=https://cloud.dqo.ai/dqo-yaml-schema/TableYaml-schema.json
apiVersion: dqo/v1
kind: table
spec:
timestamp_columns:
event_timestamp_column: col_event_timestamp
ingestion_timestamp_column: col_inserted_at
incremental_time_window:
daily_partitioning_recent_days: 7
monthly_partitioning_recent_months: 1
columns:
target_column:
partitioned_checks:
monthly:
strings:
monthly_partition_expected_strings_in_use_count:
parameters:
expected_values:
- USD
- GBP
- EUR
warning:
max_missing: 1
error:
max_missing: 1
fatal:
max_missing: 2
labels:
- This is the column that is analyzed for data quality issues
col_event_timestamp:
labels:
- optional column that stores the timestamp when the event/transaction happened
col_inserted_at:
labels:
- optional column that stores the timestamp when row was ingested
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 -%}
NULL
{%- 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.`` AS DATE), MONTH) AS time_period,
TIMESTAMP(DATE_TRUNC(CAST(analyzed_table.`` 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
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.``, '%Y-%m-01 00:00:00') AS time_period,
FROM_UNIXTIME(UNIX_TIMESTAMP(DATE_FORMAT(analyzed_table.``, '%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
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() -%}