Last updated: July 22, 2025

DQOps data quality accuracy sensors, SQL examples

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

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total row count match percent

Table level sensor that calculates the percentage of the difference of the total row count of all rows in the tested table and the total row count of the other (reference) table.

Sensor summary

The total row count match percent sensor is documented below.

Target	Category	Full sensor name	Source code on GitHub
table	accuracy	table/accuracy/total_row_count_match_percent	sensors/table/accuracy

Sensor parameters

Field name	Description	Allowed data type	Required	Allowed values
referenced_table	The name of the reference table. DQOps accepts the name in two forms: a fully qualified name including the schema name, for example landing_zone.customer_raw, or only a table name. When only a table name is used, DQOps assumes that the table is in the same schema as the analyzed table, and prefixes the name with the schema and optionally database name.	string

Jinja2 SQL templates

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

BigQueryClickHouseDatabricksDuckDBHANAMariaDBMySQLPostgreSQLPrestoQuestDBRedshiftSnowflakeSparkSQL ServerTeradataTrino

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

{%- macro render_referenced_table(referenced_table) -%}
{%- if referenced_table.find(".") < 0 -%}
   {{ lib.quote_identifier(lib.macro_project_name) }}.{{ lib.quote_identifier(lib.macro_schema_name) }}.{{- lib.quote_identifier(referenced_table) -}}
{%- else -%}
   {{ referenced_table }}
{%- endif -%}
{%- endmacro -%}

SELECT
    (SELECT
        COUNT(*)
    FROM {{ render_referenced_table(parameters.referenced_table) }} AS referenced_table
    ) AS expected_value,
    COUNT(*) AS actual_value
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}

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

SELECT
    (SELECT
        COUNT(*)
    FROM {{ lib.render_referenced_table(parameters.referenced_table) }} AS referenced_table
    ) AS expected_value,
    COUNT(*) AS actual_value
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}

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

{%- macro render_referenced_table(referenced_table) -%}
{%- if referenced_table.find(".") < 0 -%}
   {{ lib.quote_identifier(lib.macro_schema_name) }}.{{- lib.quote_identifier(referenced_table) -}}
{%- else -%}
   {{ referenced_table }}
{%- endif -%}
{%- endmacro -%}

SELECT
    (SELECT
        COUNT(*)
    FROM {{ render_referenced_table(parameters.referenced_table) }} AS referenced_table
    ) AS expected_value,
    COUNT(*) AS actual_value
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}

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

SELECT
    (SELECT
        COUNT(*)
    FROM {{ lib.render_referenced_table(parameters.referenced_table) }} AS referenced_table
    ) AS expected_value,
    COUNT(*) AS actual_value
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}

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

SELECT
    (SELECT
        COUNT(*)
    FROM {{ lib.render_referenced_table(parameters.referenced_table) }} AS referenced_table
    ) AS expected_value,
    COUNT(*) AS actual_value
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}

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

{%- macro render_referenced_table(referenced_table) -%}
{%- if referenced_table.find(".") < 0 -%}
   {{ lib.quote_identifier(lib.macro_project_name) }}.{{ lib.quote_identifier(lib.macro_schema_name) }}.{{- lib.quote_identifier(referenced_table) -}}
{%- else -%}
   {{ referenced_table }}
{%- endif -%}
{%- endmacro -%}

SELECT
    (SELECT
        COUNT(*)
    FROM {{ render_referenced_table(parameters.referenced_table) }} AS referenced_table
    ) AS expected_value,
    COUNT(*) AS actual_value
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}

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

{%- macro render_referenced_table(referenced_table) -%}
{%- if referenced_table.find(".") < 0 -%}
   {{ lib.quote_identifier(lib.macro_project_name) }}.{{ lib.quote_identifier(lib.macro_schema_name) }}.{{- lib.quote_identifier(referenced_table) -}}
{%- else -%}
   {{ referenced_table }}
{%- endif -%}
{%- endmacro -%}

SELECT
    (SELECT
        COUNT(*)
    FROM {{ render_referenced_table(parameters.referenced_table) }} AS referenced_table
    ) AS expected_value,
    COUNT(*) AS actual_value
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}

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

{%- macro render_referenced_table(referenced_table) -%}
{%- if referenced_table.find(".") < 0 -%}
   {{ lib.quote_identifier(lib.macro_database_name) }}.{{ lib.quote_identifier(lib.macro_schema_name) }}.{{- lib.quote_identifier(referenced_table) -}}
{%- else -%}
   {{ referenced_table }}
{%- endif -%}
{%- endmacro -%}

SELECT
    (SELECT
        COUNT(*)
    FROM {{ render_referenced_table(parameters.referenced_table) }} AS referenced_table
    ) AS expected_value,
    COUNT(*) AS actual_value
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}

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

{%- macro render_referenced_table(referenced_table) -%}
{%- if referenced_table.find(".") < 0 -%}
   {{ lib.quote_identifier(lib.macro_database_name) }}.{{ lib.quote_identifier(lib.macro_schema_name) }}.{{- lib.quote_identifier(referenced_table) -}}
{%- else -%}
   {{ referenced_table }}
{%- endif -%}
{%- endmacro -%}

SELECT
    (SELECT
        COUNT(*)
    FROM {{ render_referenced_table(parameters.referenced_table) }} AS referenced_table
    ) AS expected_value,
    COUNT(*) AS actual_value
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}

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

{%- macro render_referenced_table(referenced_table) -%}
{%- if referenced_table.find(".") < 0 -%}
   {{ lib.quote_identifier(lib.macro_database_name) }}.{{ lib.quote_identifier(lib.macro_schema_name) }}.{{- lib.quote_identifier(referenced_table) -}}
{%- else -%}
   {{ referenced_table }}
{%- endif -%}
{%- endmacro -%}

SELECT
    (SELECT
        COUNT()
    FROM {{ render_referenced_table(parameters.referenced_table) }} AS referenced_table
    ) AS expected_value,
    COUNT() AS actual_value
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}

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

{%- macro render_referenced_table(referenced_table) -%}
{%- if referenced_table.find(".") < 0 -%}
   {{ lib.quote_identifier(lib.macro_database_name) }}.{{ lib.quote_identifier(lib.macro_schema_name) }}.{{- lib.quote_identifier(referenced_table) -}}
{%- else -%}
   {{ referenced_table }}
{%- endif -%}
{%- endmacro -%}

SELECT
    (SELECT
        COUNT(*)
    FROM {{ render_referenced_table(parameters.referenced_table) }} AS referenced_table
    ) AS expected_value,
    COUNT(*) AS actual_value
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}

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

{%- macro render_referenced_table(referenced_table) -%}
{%- if referenced_table.find(".") < 0 -%}
   {{ lib.quote_identifier(lib.macro_database_name) }}.{{ lib.quote_identifier(lib.macro_schema_name) }}.{{- lib.quote_identifier(referenced_table) -}}
{%- else -%}
   {{ referenced_table }}
{%- endif -%}
{%- endmacro -%}

SELECT
    (SELECT
        COUNT(*)
    FROM {{ render_referenced_table(parameters.referenced_table) }} AS referenced_table
    ) AS expected_value,
    COUNT(*) AS actual_value
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}

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

{%- macro render_referenced_table(referenced_table) -%}
{%- if referenced_table.find(".") < 0 -%}
   {{ lib.quote_identifier(lib.macro_database_name) }}.{{ lib.quote_identifier(lib.macro_schema_name) }}.{{- lib.quote_identifier(referenced_table) -}}
{%- else -%}
   {{ referenced_table }}
{%- endif -%}
{%- endmacro -%}

SELECT
    (SELECT
        COUNT(*)
    FROM {{ render_referenced_table(parameters.referenced_table) }} AS referenced_table
    ) AS expected_value,
    COUNT(*) AS actual_value
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}

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

{%- macro render_referenced_table(referenced_table) -%}
{%- if referenced_table.find(".") < 0 -%}
   {{ lib.quote_identifier(lib.macro_database_name) }}.{{ lib.quote_identifier(lib.macro_schema_name) }}.{{- lib.quote_identifier(referenced_table) -}}
{%- else -%}
   {{ referenced_table }}
{%- endif -%}
{%- endmacro -%}

SELECT
    (SELECT
        COUNT_BIG(*)
    FROM {{ render_referenced_table(parameters.referenced_table) }} AS referenced_table
    ) AS expected_value,
    COUNT_BIG(*) AS actual_value
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}

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

{%- macro render_referenced_table(referenced_table) -%}
{%- if referenced_table.find(".") < 0 -%}
   {{ lib.quote_identifier(lib.macro_database_name) }}.{{ lib.quote_identifier(lib.macro_schema_name) }}.{{- lib.quote_identifier(referenced_table) -}}
{%- else -%}
   {{ referenced_table }}
{%- endif -%}
{%- endmacro -%}

SELECT
    (SELECT
        COUNT(*)
    FROM {{ render_referenced_table(parameters.referenced_table) }} AS referenced_table
    ) AS expected_value,
    COUNT(*) AS actual_value
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}

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

{%- macro render_referenced_table(referenced_table) -%}
{%- if referenced_table.find(".") < 0 -%}
   {{ lib.quote_identifier(lib.macro_catalog_name) }}.{{ lib.quote_identifier(lib.macro_schema_name) }}.{{- lib.quote_identifier(referenced_table) -}}
{%- else -%}
   {{ referenced_table }}
{%- endif -%}
{%- endmacro -%}

SELECT
    (SELECT
        COUNT(*)
    FROM {{ render_referenced_table(parameters.referenced_table) }} AS referenced_table
    ) AS expected_value,
    COUNT(*) AS actual_value
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}

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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