Last updated: July 22, 2025
DQOps data quality custom sql sensors, SQL examples
All data quality sensors in the custom sql category supported by DQOps are listed below. Those sensors are measured on a table level.
import custom result
Table level sensor that uses a custom SQL SELECT statement to retrieve a result of running a custom data quality check that was hardcoded in the data pipeline, and the result was stored in a separate table. The SQL query that is configured in this external data quality results importer must be a complete SELECT statement that queries a dedicated table (created by the data engineers) that stores the results of custom data quality checks.
Sensor summary
The import custom result sensor is documented below.
Target | Category | Full sensor name | Source code on GitHub |
---|---|---|---|
table | custom_sql | table/custom_sql/import_custom_result |
sensors/table/custom_sql |
Sensor parameters
Field name | Description | Allowed data type | Required | Allowed values |
---|---|---|---|---|
sql_query |
A custom SELECT statement that queries a logging table with custom results of data quality checks executed by the data pipeline. The query must return a result column named severity. The values of the severity column must be: 0 - data quality check passed, 1 - warning issue, 2 - error severity issue, 3 - fatal severity issue. The query can return actual_value and expected_value results that are imported into DQOps data lake. The query can use a {table_name} placeholder that is replaced with a table name for which the results are imported. | string |
Jinja2 SQL templates
The templates used to generate the SQL query for each data source supported by DQOps is shown below.
sql aggregated expression
Table level sensor that executes a given SQL expression on a table.
Sensor summary
The sql aggregated expression sensor is documented below.
Target | Category | Full sensor name | Source code on GitHub |
---|---|---|---|
table | custom_sql | table/custom_sql/sql_aggregated_expression |
sensors/table/custom_sql |
Sensor parameters
Field name | Description | Allowed data type | Required | Allowed values |
---|---|---|---|---|
sql_expression |
SQL aggregate expression that returns a numeric value calculated from rows. The expression is evaluated for the entire table or within a GROUP BY clause for daily partitions and/or data groups. The expression can use a {table} placeholder that is replaced with a full table name. | string |
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
({{ parameters.sql_expression |
replace('{table}', lib.render_target_table()) | replace('{alias}', '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
({{ parameters.sql_expression |
replace('{table}', lib.render_target_table()) | replace('{alias}', '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
({{ parameters.sql_expression |
replace('{table}', lib.render_target_table()) | replace('{alias}', '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
({{ parameters.sql_expression |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }}) AS actual_value {{-"," if lib.time_series is not none else ""}}
{%- if lib.time_series is not none-%}
time_period,
time_period_utc
{% endif %}
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
({{ parameters.sql_expression |
replace('{table}', lib.render_target_table()) | replace('{alias}', '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
({{ parameters.sql_expression |
replace('{table}', lib.render_target_table()) | replace('{alias}', '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
({{ parameters.sql_expression |
replace('{table}', lib.render_target_table()) | replace('{alias}', '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
({{ parameters.sql_expression |
replace('{table}', lib.render_target_table()) | replace('{alias}', '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
({{ parameters.sql_expression |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }}) AS actual_value {{-"," if lib.time_series is not none else ""}}
{%- if lib.time_series is not none-%}
time_period,
time_period_utc
{% endif %}
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
({{ parameters.sql_expression |
replace('{table}', lib.render_target_table()) | replace('{alias}', '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
({{ parameters.sql_expression |
replace('{table}', lib.render_target_table()) | replace('{alias}', '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
({{ parameters.sql_expression |
replace('{table}', lib.render_target_table()) | replace('{alias}', '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
({{ parameters.sql_expression |
replace('{table}', lib.render_target_table()) | replace('{alias}', '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
({{ parameters.sql_expression |
replace('{table}', lib.render_target_table()) | replace('{alias}', '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
({{ parameters.sql_expression |
replace('{table}', lib.render_target_table()) | replace('{alias}', '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
({{ parameters.sql_expression |
replace('{table}', lib.render_target_table()) | replace('{alias}', '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
({{ parameters.sql_expression |
replace('{table}', lib.render_target_table()) | replace('{alias}', '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
({{ parameters.sql_expression |
replace('{table}', lib.render_target_table()) | replace('{alias}', '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() -}}
sql condition failed count
Table level sensor that uses a custom SQL condition (an SQL expression that returns a boolean value) to count rows that do not meet the condition.
Sensor summary
The sql condition failed count sensor is documented below.
Target | Category | Full sensor name | Source code on GitHub |
---|---|---|---|
table | custom_sql | table/custom_sql/sql_condition_failed_count |
sensors/table/custom_sql |
Sensor parameters
Field name | Description | Allowed data type | Required | Allowed values |
---|---|---|---|---|
sql_condition |
SQL condition (expression) that returns true or false. The condition is evaluated for each row. The expression can use a {table} placeholder that is replaced with a full table name. | string |
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
SUM(
CASE
WHEN NOT ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
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
SUM(
CASE
WHEN NOT ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
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
SUM(
CASE
WHEN NOT ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
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
SUM(
CASE
WHEN NOT ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
END
) AS actual_value {{-"," if lib.time_series is not none else ""}}
{%- if lib.time_series is not none-%}
time_period,
time_period_utc
{% endif %}
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
SUM(
CASE
WHEN NOT ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
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
SUM(
CASE
WHEN NOT ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
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
SUM(
CASE
WHEN NOT ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
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
SUM(
CASE
WHEN NOT ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
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
SUM(
CASE
WHEN NOT ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
END
) AS actual_value {{-"," if lib.time_series is not none else ""}}
{%- if lib.time_series is not none-%}
time_period,
time_period_utc
{% endif %}
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
SUM(
CASE
WHEN NOT ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
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
SUM(
CASE
WHEN NOT ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
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
SUM(
CASE
WHEN NOT ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
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/redshift.sql.jinja2' as lib with context -%}
SELECT
SUM(
CASE
WHEN NOT ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
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
SUM(
CASE
WHEN NOT ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
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
SUM(
CASE
WHEN NOT ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
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
SUM(
CASE
WHEN NOT ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
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
SUM(
CASE
WHEN NOT ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
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
SUM(
CASE
WHEN NOT ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
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() -}}
sql condition failed percent
Table level sensor that uses a custom SQL condition (an SQL expression that returns a boolean value) to count the percentage of rows that do not meet the condition.
Sensor summary
The sql condition failed percent sensor is documented below.
Target | Category | Full sensor name | Source code on GitHub |
---|---|---|---|
table | custom_sql | table/custom_sql/sql_condition_failed_percent |
sensors/table/custom_sql |
Sensor parameters
Field name | Description | Allowed data type | Required | Allowed values |
---|---|---|---|---|
sql_condition |
SQL condition (expression) that returns true or false. The condition is evaluated for each row. The expression can use a {table} placeholder that is replaced with a full table name. | string |
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 (*) = 0 THEN 100.0
ELSE 100.0 * SUM(
CASE
WHEN NOT ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
END) / COUNT(*)
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 (*) = 0 THEN 100.0
ELSE 100.0 * SUM(
CASE
WHEN NOT ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
END) / COUNT(*)
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 (*) = 0 THEN 100.0
ELSE 100.0 * SUM(
CASE
WHEN NOT ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
END) / COUNT(*)
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 (*) = 0 THEN 100.0
ELSE 100.0 * SUM(
CASE
WHEN NOT ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
END) / COUNT(*)
END AS actual_value {{-"," if lib.time_series is not none else ""}}
{%- if lib.time_series is not none-%}
time_period,
time_period_utc
{% endif %}
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 (*) = 0 THEN 100.0
ELSE 100.0 * SUM(
CASE
WHEN NOT ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
END) / COUNT(*)
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 (*) = 0 THEN 100.0
ELSE 100.0 * SUM(
CASE
WHEN NOT ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
END) / COUNT(*)
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 (*) = 0 THEN 100.0
ELSE 100.0 * SUM(
CASE
WHEN NOT ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
END) / COUNT(*)
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 (*) = 0 THEN 100.0
ELSE 100.0 * SUM(
CASE
WHEN NOT ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
END) / COUNT(*)
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 (*) = 0 THEN 100.0
ELSE 100.0 * SUM(
CASE
WHEN NOT ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
END) / COUNT(*)
END AS actual_value {{-"," if lib.time_series is not none else ""}}
{%- if lib.time_series is not none-%}
time_period,
time_period_utc
{% endif %}
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 (*) = 0 THEN 100.0
ELSE 100.0 * SUM(
CASE
WHEN NOT ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
END) / COUNT(*)
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 (*) = 0 THEN 100.0
ELSE CAST(100.0 * SUM(
CASE
WHEN NOT ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
END) AS DOUBLE) / COUNT(*)
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 * SUM(
CASE
WHEN NOT ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
END) / COUNT(), 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(*) = 0 THEN 100.0
ELSE 100.0 * SUM(
CASE
WHEN NOT ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
END) / COUNT(*)
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 (*) = 0 THEN 100.0
ELSE 100.0 * SUM(
CASE
WHEN NOT ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
END) / COUNT(*)
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 (*) = 0 THEN 100.0
ELSE 100.0 * SUM(
CASE
WHEN NOT ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
END) / COUNT(*)
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(*) = 0 THEN 100.0
ELSE 100.0 * SUM(
CASE
WHEN NOT ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
END) / COUNT_BIG(*)
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 (*) = 0 THEN 100.0
ELSE 100.0 * SUM(
CASE
WHEN NOT ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
END) / COUNT(*)
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 (*) = 0 THEN 100.0
ELSE CAST(100.0 * SUM(
CASE
WHEN NOT ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
END) AS DOUBLE) / COUNT(*)
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() -}}
sql condition passed count
Table level sensor that uses a custom SQL condition (an SQL expression that returns a boolean value) to count rows that meet the condition.
Sensor summary
The sql condition passed count sensor is documented below.
Target | Category | Full sensor name | Source code on GitHub |
---|---|---|---|
table | custom_sql | table/custom_sql/sql_condition_passed_count |
sensors/table/custom_sql |
Sensor parameters
Field name | Description | Allowed data type | Required | Allowed values |
---|---|---|---|---|
sql_condition |
SQL condition (expression) that returns true or false. The condition is evaluated for each row. The expression can use a {table} placeholder that is replaced with a full table name. | string |
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
SUM(
CASE
WHEN ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
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
SUM(
CASE
WHEN ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
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
SUM(
CASE
WHEN ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
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
SUM(
CASE
WHEN ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
END
) AS actual_value {{-"," if lib.time_series is not none else ""}}
{%- if lib.time_series is not none-%}
time_period,
time_period_utc
{% endif %}
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
SUM(
CASE
WHEN ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
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
SUM(
CASE
WHEN ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
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
SUM(
CASE
WHEN ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
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
SUM(
CASE
WHEN ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
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
SUM(
CASE
WHEN ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
END
) AS actual_value {{-"," if lib.time_series is not none else ""}}
{%- if lib.time_series is not none-%}
time_period,
time_period_utc
{% endif %}
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
SUM(
CASE
WHEN ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
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
SUM(
CASE
WHEN ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
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
SUM(
CASE
WHEN ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
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/redshift.sql.jinja2' as lib with context -%}
SELECT
SUM(
CASE
WHEN ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
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
SUM(
CASE
WHEN ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
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
SUM(
CASE
WHEN ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
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
SUM(
CASE
WHEN ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
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
SUM(
CASE
WHEN ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
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
SUM(
CASE
WHEN ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
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() -}}
sql condition passed percent
Table level sensor that uses a custom SQL condition (an SQL expression that returns a boolean value) to count the percentage of rows that meet the condition.
Sensor summary
The sql condition passed percent sensor is documented below.
Target | Category | Full sensor name | Source code on GitHub |
---|---|---|---|
table | custom_sql | table/custom_sql/sql_condition_passed_percent |
sensors/table/custom_sql |
Sensor parameters
Field name | Description | Allowed data type | Required | Allowed values |
---|---|---|---|---|
sql_condition |
SQL condition (expression) that returns true or false. The condition is evaluated for each row. The expression can use a {table} placeholder that is replaced with a full table name. | string |
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(*) = 0 THEN 100.0
ELSE 100.0 * SUM(
CASE
WHEN ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
END) / COUNT(*)
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(*) = 0 THEN 100.0
ELSE 100.0 * SUM(
CASE
WHEN ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
END) / COUNT(*)
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(*) = 0 THEN 100.0
ELSE 100.0 * SUM(
CASE
WHEN ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
END) / COUNT(*)
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(*) = 0 THEN 100.0
ELSE 100.0 * SUM(
CASE
WHEN ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
END) / COUNT(*)
END AS actual_value {{-"," if lib.time_series is not none else ""}}
{%- if lib.time_series is not none-%}
time_period,
time_period_utc
{% endif %}
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(*) = 0 THEN 100.0
ELSE 100.0 * SUM(
CASE
WHEN ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
END) / COUNT(*)
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(*) = 0 THEN 100.0
ELSE 100.0 * SUM(
CASE
WHEN ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
END) / COUNT(*)
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(*) = 0 THEN 100.0
ELSE 100.0 * SUM(
CASE
WHEN ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
END) / COUNT(*)
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(*) = 0 THEN 100.0
ELSE 100.0 * SUM(
CASE
WHEN ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
END) / COUNT(*)
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(*) = 0 THEN 100.0
ELSE 100.0 * SUM(
CASE
WHEN ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
END) / COUNT(*)
END AS actual_value {{-"," if lib.time_series is not none else ""}}
{%- if lib.time_series is not none-%}
time_period,
time_period_utc
{% endif %}
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(*) = 0 THEN 100.0
ELSE 100.0 * SUM(
CASE
WHEN ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
END) / COUNT(*)
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(*) = 0 THEN 100.0
ELSE CAST(100.0 * SUM(
CASE
WHEN ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
END) AS DOUBLE) / COUNT(*)
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 * SUM(
CASE
WHEN ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
END) / COUNT(), 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(*) = 0 THEN 100.0
ELSE 100.0 * SUM(
CASE
WHEN ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
END) / COUNT(*)
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(*) = 0 THEN 100.0
ELSE 100.0 * SUM(
CASE
WHEN ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
END) / COUNT(*)
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(*) = 0 THEN 100.0
ELSE 100.0 * SUM(
CASE
WHEN ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
END) / COUNT(*)
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(*) = 0 THEN 100.0
ELSE 100.0 * SUM(
CASE
WHEN ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
END) / COUNT_BIG(*)
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(*) = 0 THEN 100.0
ELSE 100.0 * SUM(
CASE
WHEN ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
END) / COUNT(*)
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(*) = 0 THEN 100.0
ELSE CAST(100.0 * SUM(
CASE
WHEN ({{ parameters.sql_condition |
replace('{table}', lib.render_target_table()) | replace('{alias}', 'analyzed_table') }})
THEN 1
ELSE 0
END) AS DOUBLE) / COUNT(*)
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() -}}
sql invalid record count
Table level sensor that uses a custom SQL query to count rows of invalid values.
Sensor summary
The sql invalid record count sensor is documented below.
Target | Category | Full sensor name | Source code on GitHub |
---|---|---|---|
table | custom_sql | table/custom_sql/sql_invalid_record_count |
sensors/table/custom_sql |
Sensor parameters
Field name | Description | Allowed data type | Required | Allowed values |
---|---|---|---|---|
sql_query |
SQL query that returns invalid values. The condition is evaluated for each row. The expression can use a {table} placeholder that is replaced with a full table name. | string |
Jinja2 SQL templates
The templates used to generate the SQL query for each data source supported by DQOps is shown below.
What's next
- Learn how the data quality sensors are defined in DQOps and what is the definition of all Jinja2 macros used in the templates
- Understand how DQOps runs data quality checks, rendering templates to SQL queries