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Last updated: July 22, 2025

DQOps data quality uniqueness sensors, SQL examples

All data quality sensors in the uniqueness category supported by DQOps are listed below. Those sensors are measured on a column level.


distinct count

Column level sensor that calculates the number of unique non-null values.

Sensor summary

The distinct count sensor is documented below.

Target Category Full sensor name Source code on GitHub
column uniqueness column/uniqueness/distinct_count sensors/column/uniqueness

Jinja2 SQL templates

The templates used to generate the SQL query for each data source supported by DQOps is shown below.

{% import '/dialects/bigquery.sql.jinja2' as lib with context -%}
SELECT
    COUNT(
        DISTINCT({{ lib.render_target_column('analyzed_table')}})
    ) AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/clickhouse.sql.jinja2' as lib with context -%}
SELECT
    COUNT(
        DISTINCT({{ lib.render_target_column('analyzed_table')}})
    ) AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/databricks.sql.jinja2' as lib with context -%}
SELECT
    COUNT(
        DISTINCT({{ lib.render_target_column('analyzed_table') }})
    ) AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/db2.sql.jinja2' as lib with context -%}
SELECT
    COUNT(
        DISTINCT({{ lib.render_target_column('analyzed_table')}})
    ) AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/duckdb.sql.jinja2' as lib with context -%}
SELECT
    COUNT(
        DISTINCT({{ lib.render_target_column('analyzed_table')}})
    ) AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/hana.sql.jinja2' as lib with context -%}
SELECT
    COUNT(
        DISTINCT({{ lib.render_target_column('analyzed_table')}})
    ) AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/mariadb.sql.jinja2' as lib with context -%}
SELECT
    COUNT(
        DISTINCT({{ lib.render_target_column('analyzed_table')}})
    ) AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/mysql.sql.jinja2' as lib with context -%}
SELECT
    COUNT(
        DISTINCT({{ lib.render_target_column('analyzed_table')}})
    ) AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/oracle.sql.jinja2' as lib with context -%}
SELECT
    COUNT(
        DISTINCT({{ lib.render_target_column('analyzed_table')}})
    ) AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/postgresql.sql.jinja2' as lib with context -%}
SELECT
    COUNT(
        DISTINCT({{ lib.render_target_column('analyzed_table')}})
    ) AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/presto.sql.jinja2' as lib with context -%}
SELECT
    COUNT(
        DISTINCT({{ lib.render_target_column('analyzed_table')}})
    ) AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/questdb.sql.jinja2' as lib with context -%}
SELECT
    COUNT_DISTINCT(
        {{ lib.render_target_column('analyzed_table')}}
    ) AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM(
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/redshift.sql.jinja2' as lib with context -%}
SELECT
    COUNT(
        DISTINCT({{ lib.render_target_column('analyzed_table')}})
    ) AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/snowflake.sql.jinja2' as lib with context -%}
SELECT
    COUNT(
        DISTINCT({{ lib.render_target_column('analyzed_table') }})
    ) AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/spark.sql.jinja2' as lib with context -%}
SELECT
    COUNT(
        DISTINCT({{ lib.render_target_column('analyzed_table') }})
    ) AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/sqlserver.sql.jinja2' as lib with context -%}
SELECT
    COUNT_BIG(
        DISTINCT({{ lib.render_target_column('analyzed_table')}})
    ) AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/teradata.sql.jinja2' as lib with context -%}
SELECT
    COUNT(
        DISTINCT({{ lib.render_target_column('analyzed_table') }})
    ) AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/trino.sql.jinja2' as lib with context -%}
SELECT
    COUNT(
        DISTINCT({{ lib.render_target_column('analyzed_table')}})
    ) AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}

distinct percent

Column level sensor that calculates the percentage of unique values in a column.

Sensor summary

The distinct percent sensor is documented below.

Target Category Full sensor name Source code on GitHub
column uniqueness column/uniqueness/distinct_percent sensors/column/uniqueness

Jinja2 SQL templates

The templates used to generate the SQL query for each data source supported by DQOps is shown below.

{% import '/dialects/bigquery.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table')}}) = 0 THEN 100.0
        ELSE 100.0 * COUNT(DISTINCT {{ lib.render_target_column('analyzed_table') }})
        / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/clickhouse.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table')}}) = 0 THEN 100.0
        ELSE 100.0 * COUNT(DISTINCT {{ lib.render_target_column('analyzed_table') }})
        / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/databricks.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table')}}) = 0 THEN 100.0
        ELSE 100.0 * COUNT(DISTINCT {{ lib.render_target_column('analyzed_table') }})
        / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/db2.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table')}}) = 0 THEN 100.0
        ELSE 100.0 * COUNT(DISTINCT {{ lib.render_target_column('analyzed_table') }})
        / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/duckdb.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table')}}) = 0 THEN 100.0
        ELSE 100.0 * COUNT(DISTINCT {{ lib.render_target_column('analyzed_table') }})
        / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/hana.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table')}}) = 0 THEN 100.0
        ELSE 100.0 * COUNT(DISTINCT {{ lib.render_target_column('analyzed_table') }})
        / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/mariadb.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table')}}) = 0 THEN 100.0
        ELSE 100.0 * COUNT(DISTINCT {{ lib.render_target_column('analyzed_table') }})
        / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/mysql.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table')}}) = 0 THEN 100.0
        ELSE 100.0 * COUNT(DISTINCT {{ lib.render_target_column('analyzed_table') }})
        / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/oracle.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table')}}) = 0 THEN 100.0
        ELSE 100.0 * COUNT(DISTINCT {{ lib.render_target_column('analyzed_table') }})
        / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/postgresql.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table')}}) = 0 THEN 100.0
        ELSE 100.0 * COUNT(DISTINCT {{ lib.render_target_column('analyzed_table') }})
        / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/presto.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table')}}) = 0 THEN 100.0
        ELSE CAST(100.0 * COUNT(DISTINCT {{ lib.render_target_column('analyzed_table') }}) AS DOUBLE)
        / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/questdb.sql.jinja2' as lib with context -%}
SELECT
    COALESCE(100.0 * COUNT_DISTINCT( {{ lib.render_target_column('analyzed_table') }})
        / COUNT({{ lib.render_target_column('analyzed_table') }}), 100.0)
    AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM(
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/redshift.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table')}}) = 0 THEN 100.0
        ELSE 100.0 * COUNT(DISTINCT {{ lib.render_target_column('analyzed_table') }})
        / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/snowflake.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table')}}) = 0 THEN 100.0
        ELSE 100.0 * COUNT(DISTINCT {{ lib.render_target_column('analyzed_table') }})
        / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/spark.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table')}}) = 0 THEN 100.0
        ELSE 100.0 * COUNT(DISTINCT {{ lib.render_target_column('analyzed_table') }})
        / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/sqlserver.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT_BIG({{ lib.render_target_column('analyzed_table')}}) = 0 THEN 100.0
        ELSE 100.0 * COUNT_BIG(DISTINCT {{ lib.render_target_column('analyzed_table') }})
        / COUNT_BIG({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/teradata.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table')}}) = 0 THEN 100.0
        ELSE 100.0 * COUNT(DISTINCT {{ lib.render_target_column('analyzed_table') }})
        / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/trino.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table')}}) = 0 THEN 100.0
        ELSE CAST(100.0 * COUNT(DISTINCT {{ lib.render_target_column('analyzed_table') }}) AS DOUBLE)
        / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}

duplicate count

Column level sensor that calculates the number of duplicate values in a given column.

Sensor summary

The duplicate count sensor is documented below.

Target Category Full sensor name Source code on GitHub
column uniqueness column/uniqueness/duplicate_count sensors/column/uniqueness

Jinja2 SQL templates

The templates used to generate the SQL query for each data source supported by DQOps is shown below.

{% import '/dialects/bigquery.sql.jinja2' as lib with context -%}
SELECT
    COUNT({{ lib.render_target_column('analyzed_table') }}) - COUNT(DISTINCT({{ lib.render_target_column('analyzed_table') }}))
    AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/clickhouse.sql.jinja2' as lib with context -%}
SELECT
    COUNT({{ lib.render_target_column('analyzed_table') }}) - COUNT(DISTINCT({{ lib.render_target_column('analyzed_table') }}))
    AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/databricks.sql.jinja2' as lib with context -%}
SELECT
    COUNT({{ lib.render_target_column('analyzed_table') }}) - COUNT(DISTINCT({{ lib.render_target_column('analyzed_table') }}))
    AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/db2.sql.jinja2' as lib with context -%}
SELECT
    COUNT({{ lib.render_target_column('analyzed_table') }}) - COUNT(DISTINCT({{ lib.render_target_column('analyzed_table') }}))
    AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/duckdb.sql.jinja2' as lib with context -%}
SELECT
    COUNT({{ lib.render_target_column('analyzed_table') }}) - COUNT(DISTINCT({{ lib.render_target_column('analyzed_table') }}))
    AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/hana.sql.jinja2' as lib with context -%}
SELECT
    COUNT({{ lib.render_target_column('analyzed_table') }}) - COUNT(DISTINCT({{ lib.render_target_column('analyzed_table') }}))
    AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/mariadb.sql.jinja2' as lib with context -%}
SELECT
    COUNT({{ lib.render_target_column('analyzed_table') }}) - COUNT(DISTINCT({{ lib.render_target_column('analyzed_table') }}))
    AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/mysql.sql.jinja2' as lib with context -%}
SELECT
    COUNT({{ lib.render_target_column('analyzed_table') }}) - COUNT(DISTINCT({{ lib.render_target_column('analyzed_table') }}))
    AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/oracle.sql.jinja2' as lib with context -%}
SELECT
    COUNT({{ lib.render_target_column('analyzed_table') }}) - COUNT(DISTINCT({{ lib.render_target_column('analyzed_table') }}))
    AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/postgresql.sql.jinja2' as lib with context -%}
SELECT
    COUNT({{ lib.render_target_column('analyzed_table') }}) - COUNT(DISTINCT({{ lib.render_target_column('analyzed_table') }}))
    AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/presto.sql.jinja2' as lib with context -%}
SELECT
    COUNT({{ lib.render_target_column('analyzed_table') }}) - COUNT(DISTINCT({{ lib.render_target_column('analyzed_table') }}))
    AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/questdb.sql.jinja2' as lib with context -%}
SELECT
    COUNT({{ lib.render_target_column('analyzed_table') }}) - COUNT_DISTINCT({{ lib.render_target_column('analyzed_table') }})
    AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM(
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/redshift.sql.jinja2' as lib with context -%}
SELECT
    COUNT({{ lib.render_target_column('analyzed_table') }}) - COUNT(DISTINCT({{ lib.render_target_column('analyzed_table') }}))
    AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/snowflake.sql.jinja2' as lib with context -%}
SELECT
    COUNT({{ lib.render_target_column('analyzed_table') }}) - COUNT(DISTINCT({{ lib.render_target_column('analyzed_table') }}))
    AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/spark.sql.jinja2' as lib with context -%}
SELECT
    COUNT({{ lib.render_target_column('analyzed_table') }}) - COUNT(DISTINCT({{ lib.render_target_column('analyzed_table') }}))
    AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/sqlserver.sql.jinja2' as lib with context -%}
SELECT
    COUNT_BIG({{ lib.render_target_column('analyzed_table') }}) - COUNT_BIG(DISTINCT({{ lib.render_target_column('analyzed_table') }}))
    AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/teradata.sql.jinja2' as lib with context -%}
SELECT
    COUNT({{ lib.render_target_column('analyzed_table') }}) - COUNT(DISTINCT({{ lib.render_target_column('analyzed_table') }}))
    AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/trino.sql.jinja2' as lib with context -%}
SELECT
    COUNT({{ lib.render_target_column('analyzed_table') }}) - COUNT(DISTINCT({{ lib.render_target_column('analyzed_table') }}))
    AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}

duplicate percent

Column level sensor that calculates the percentage of rows that are duplicates.

Sensor summary

The duplicate percent sensor is documented below.

Target Category Full sensor name Source code on GitHub
column uniqueness column/uniqueness/duplicate_percent sensors/column/uniqueness

Jinja2 SQL templates

The templates used to generate the SQL query for each data source supported by DQOps is shown below.

{% import '/dialects/bigquery.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 0.0
        ELSE 100.0 * (
            COUNT({{ lib.render_target_column('analyzed_table') }}) - COUNT(DISTINCT {{ lib.render_target_column('analyzed_table') }})
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/clickhouse.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 0.0
        ELSE 100.0 * (
            COUNT({{ lib.render_target_column('analyzed_table') }}) - COUNT(DISTINCT {{ lib.render_target_column('analyzed_table') }})
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/databricks.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 0.0
        ELSE 100.0 * (
            COUNT({{ lib.render_target_column('analyzed_table') }}) - COUNT(DISTINCT {{ lib.render_target_column('analyzed_table') }})
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/db2.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 0.0
        ELSE 100.0 * (
            COUNT({{ lib.render_target_column('analyzed_table') }}) - COUNT(DISTINCT {{ lib.render_target_column('analyzed_table') }})
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/duckdb.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 0.0
        ELSE 100.0 * (
            COUNT({{ lib.render_target_column('analyzed_table') }}) - COUNT(DISTINCT {{ lib.render_target_column('analyzed_table') }})
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/hana.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 0.0
        ELSE 100.0 * (
            COUNT({{ lib.render_target_column('analyzed_table') }}) - COUNT(DISTINCT {{ lib.render_target_column('analyzed_table') }})
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/mariadb.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 0.0
        ELSE 100.0 * (
            COUNT({{ lib.render_target_column('analyzed_table') }}) - COUNT(DISTINCT {{ lib.render_target_column('analyzed_table') }})
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/mysql.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 0.0
        ELSE 100.0 * (
            COUNT({{ lib.render_target_column('analyzed_table') }}) - COUNT(DISTINCT {{ lib.render_target_column('analyzed_table') }})
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/oracle.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 0.0
        ELSE 100.0 * (
            COUNT({{ lib.render_target_column('analyzed_table') }}) - COUNT(DISTINCT {{ lib.render_target_column('analyzed_table') }})
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/postgresql.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 0.0
        ELSE 100.0 * (
            COUNT({{ lib.render_target_column('analyzed_table') }}) - COUNT(DISTINCT {{ lib.render_target_column('analyzed_table') }})
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/presto.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 0.0
        ELSE CAST(100.0 * (
            COUNT({{ lib.render_target_column('analyzed_table') }}) - COUNT(DISTINCT {{ lib.render_target_column('analyzed_table') }})
        ) AS DOUBLE) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/questdb.sql.jinja2' as lib with context -%}
SELECT
    COALESCE(100.0 * (
            COUNT({{ lib.render_target_column('analyzed_table') }}) - COUNT_DISTINCT( {{ lib.render_target_column('analyzed_table') }})
        ) / COUNT({{ lib.render_target_column('analyzed_table') }}), 0.0)
    AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM(
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/redshift.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 0.0
        ELSE 100.0 * (
            COUNT({{ lib.render_target_column('analyzed_table') }}) - COUNT(DISTINCT {{ lib.render_target_column('analyzed_table') }})
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/snowflake.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 0.0
        ELSE 100.0 * (
            COUNT({{ lib.render_target_column('analyzed_table') }}) - COUNT(DISTINCT {{ lib.render_target_column('analyzed_table') }})
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/spark.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 0.0
        ELSE 100.0 * (
            COUNT({{ lib.render_target_column('analyzed_table') }}) - COUNT(DISTINCT {{ lib.render_target_column('analyzed_table') }})
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/sqlserver.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT_BIG({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 0.0
        ELSE 100.0 * (
            COUNT_BIG({{ lib.render_target_column('analyzed_table') }}) - COUNT_BIG(DISTINCT {{ lib.render_target_column('analyzed_table') }})
        ) / COUNT_BIG({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/teradata.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 0.0
        ELSE 100.0 * (
            COUNT({{ lib.render_target_column('analyzed_table') }}) - COUNT(DISTINCT {{ lib.render_target_column('analyzed_table') }})
        ) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections('analyzed_table') }}
    {{- lib.render_time_dimension_projection('analyzed_table') }}
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}
{% import '/dialects/trino.sql.jinja2' as lib with context -%}
SELECT
    CASE
        WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 0.0
        ELSE CAST(100.0 * (
            COUNT({{ lib.render_target_column('analyzed_table') }}) - COUNT(DISTINCT {{ lib.render_target_column('analyzed_table') }})
        ) AS DOUBLE) / COUNT({{ lib.render_target_column('analyzed_table') }})
    END AS actual_value
    {{- lib.render_data_grouping_projections_reference('analyzed_table') }}
    {{- lib.render_time_dimension_projection_reference('analyzed_table') }}
FROM (
    SELECT
        original_table.*
        {{- lib.render_data_grouping_projections('original_table') }}
        {{- lib.render_time_dimension_projection('original_table') }}
    FROM {{ lib.render_target_table() }} original_table
) analyzed_table
{{- lib.render_where_clause() -}}
{{- lib.render_group_by() -}}
{{- lib.render_order_by() -}}

What's next