uniqueness column sensors
distinct count
Full sensor name
DescriptionColumn level sensor that calculates the number of unique non-null values.
SQL Template (Jinja2)
{% 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/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
{{- lib.render_where_clause(table_alias_prefix='original_table') }}
) analyzed_table
{{- 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/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/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() -}}
distinct percent
Full sensor name
DescriptionColumn level sensor that calculates the percentage of unique values in a column.
SQL Template (Jinja2)
{% 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/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
{{- lib.render_where_clause(table_alias_prefix='original_table') }}
) analyzed_table
{{- 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/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/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() -}}
duplicate count
Full sensor name
DescriptionColumn level sensor that calculates the number of duplicate values in a given column.
SQL Template (Jinja2)
{% 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/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
{{- lib.render_where_clause(table_alias_prefix='original_table') }}
) analyzed_table
{{- 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/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/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() -}}
duplicate percent
Full sensor name
DescriptionColumn level sensor that calculates the percentage of rows that are duplicates.
SQL Template (Jinja2)
{% 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({{ 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 100.0
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 100.0
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
{{- lib.render_where_clause(table_alias_prefix='original_table') }}
) analyzed_table
{{- 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({{ 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/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({{ 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 100.0
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 100.0
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() -}}