accuracy column sensors

total average match percent

Full sensor name

column/accuracy/total_average_match_percent

Description
Column level sensor that calculates percentage of the difference in average of a column in a table and average of a column of another table.

Parameters

Field name	Description	Allowed data type	Is it required?	Allowed values
referenced_table	This field can be used to define the name of the table to be compared to. In order to define the name of the table, user should write correct name as a String.	string
referenced_column	This field can be used to define the name of the column to be compared to. In order to define the name of the column, user should write correct name as a String.	string

SQL Template (Jinja2)

BigQueryMySQLPostgreSQLRedshiftSnowflakeSQL Server

{% 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
        AVG(referenced_table.{{ lib.quote_identifier(parameters.referenced_column) }})
    FROM {{ render_referenced_table(parameters.referenced_table) }} AS referenced_table
    ) AS expected_value,
    AVG({{ lib.render_target_column('analyzed_table')}}) 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(referenced_table) -}}
{%- else -%}
   {{ referenced_table }}
{%- endif -%}
{%- endmacro -%}

SELECT
    (SELECT
        AVG(referenced_table.{{ lib.quote_identifier(parameters.referenced_column) }})
    FROM {{ render_referenced_table(parameters.referenced_table) }} AS referenced_table
    ) AS expected_value,
    AVG({{ lib.render_target_column('analyzed_table')}}) 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
        AVG(referenced_table.{{ lib.quote_identifier(parameters.referenced_column) }})
    FROM {{ render_referenced_table(parameters.referenced_table) }} AS referenced_table
    ) AS expected_value,
    AVG({{ lib.render_target_column('analyzed_table')}}) 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
        AVG(referenced_table.{{ lib.quote_identifier(parameters.referenced_column) }})
    FROM {{ render_referenced_table(parameters.referenced_table) }} AS referenced_table
    ) AS expected_value,
    AVG({{ lib.render_target_column('analyzed_table')}}) 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
        AVG(referenced_table.{{ lib.quote_identifier(parameters.referenced_column) }})
    FROM {{ render_referenced_table(parameters.referenced_table) }} AS referenced_table
    ) AS expected_value,
    AVG({{ lib.render_target_column('analyzed_table')}}) 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
        AVG(referenced_table.{{ lib.quote_identifier(parameters.referenced_column) }})
    FROM {{ render_referenced_table(parameters.referenced_table) }} AS referenced_table
    ) AS expected_value,
    AVG({{ lib.render_target_column('analyzed_table')}}) AS actual_value
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}

---

total max match percent

Full sensor name

column/accuracy/total_max_match_percent

Description
Column level sensor that calculates percentage of the difference in max of a column in a table and max of a column of another table.

Parameters

Field name	Description	Allowed data type	Is it required?	Allowed values
referenced_table	This field can be used to define the name of the table to be compared to. In order to define the name of the table, user should write correct name as a String.	string
referenced_column	This field can be used to define the name of the column to be compared to. In order to define the name of the column, user should write correct name as a String.	string

SQL Template (Jinja2)

BigQueryMySQLPostgreSQLRedshiftSnowflakeSQL Server

{% 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
        MAX(referenced_table.{{ lib.quote_identifier(parameters.referenced_column) }})
    FROM {{ render_referenced_table(parameters.referenced_table) }} AS referenced_table
    ) AS expected_value,
    MAX({{ lib.render_target_column('analyzed_table')}}) 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(referenced_table) -}}
{%- else -%}
   {{ referenced_table }}
{%- endif -%}
{%- endmacro -%}

SELECT
    (SELECT
        MAX(referenced_table.{{ lib.quote_identifier(parameters.referenced_column) }})
    FROM {{ render_referenced_table(parameters.referenced_table) }} AS referenced_table
    ) AS expected_value,
    MAX({{ lib.render_target_column('analyzed_table')}}) 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
        MAX(referenced_table.{{ lib.quote_identifier(parameters.referenced_column) }})
    FROM {{ render_referenced_table(parameters.referenced_table) }} AS referenced_table
    ) AS expected_value,
    MAX({{ lib.render_target_column('analyzed_table')}}) 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
        MAX(referenced_table.{{ lib.quote_identifier(parameters.referenced_column) }})
    FROM {{ render_referenced_table(parameters.referenced_table) }} AS referenced_table
    ) AS expected_value,
    MAX({{ lib.render_target_column('analyzed_table')}}) 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
        MAX(referenced_table.{{ lib.quote_identifier(parameters.referenced_column) }})
    FROM {{ render_referenced_table(parameters.referenced_table) }} AS referenced_table
    ) AS expected_value,
    MAX({{ lib.render_target_column('analyzed_table')}}) 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
        MAX(referenced_table.{{ lib.quote_identifier(parameters.referenced_column) }})
    FROM {{ render_referenced_table(parameters.referenced_table) }} AS referenced_table
    ) AS expected_value,
    MAX({{ lib.render_target_column('analyzed_table')}}) AS actual_value
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}

---

total min match percent

Full sensor name

column/accuracy/total_min_match_percent

Description
Column level sensor that calculates percentage of the difference in min of a column in a table and min of a column of another table.

Parameters

Field name	Description	Allowed data type	Is it required?	Allowed values
referenced_table	This field can be used to define the name of the table to be compared to. In order to define the name of the table, user should write correct name as a String.	string
referenced_column	This field can be used to define the name of the column to be compared to. In order to define the name of the column, user should write correct name as a String.	string

SQL Template (Jinja2)

BigQueryMySQLPostgreSQLRedshiftSnowflakeSQL Server

{% 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
        MIN(referenced_table.{{ lib.quote_identifier(parameters.referenced_column) }})
    FROM {{ render_referenced_table(parameters.referenced_table) }} AS referenced_table
    ) AS expected_value,
    MIN({{ lib.render_target_column('analyzed_table')}}) 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(referenced_table) -}}
{%- else -%}
   {{ referenced_table }}
{%- endif -%}
{%- endmacro -%}

SELECT
    (SELECT
        MIN(referenced_table.{{ lib.quote_identifier(parameters.referenced_column) }})
    FROM {{ render_referenced_table(parameters.referenced_table) }} AS referenced_table
    ) AS expected_value,
    MIN({{ lib.render_target_column('analyzed_table')}}) 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
        MIN(referenced_table.{{ lib.quote_identifier(parameters.referenced_column) }})
    FROM {{ render_referenced_table(parameters.referenced_table) }} AS referenced_table
    ) AS expected_value,
    MIN({{ lib.render_target_column('analyzed_table')}}) 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
        MIN(referenced_table.{{ lib.quote_identifier(parameters.referenced_column) }})
    FROM {{ render_referenced_table(parameters.referenced_table) }} AS referenced_table
    ) AS expected_value,
    MIN({{ lib.render_target_column('analyzed_table')}}) 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
        MIN(referenced_table.{{ lib.quote_identifier(parameters.referenced_column) }})
    FROM {{ render_referenced_table(parameters.referenced_table) }} AS referenced_table
    ) AS expected_value,
    MIN({{ lib.render_target_column('analyzed_table')}}) 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
        MIN(referenced_table.{{ lib.quote_identifier(parameters.referenced_column) }})
    FROM {{ render_referenced_table(parameters.referenced_table) }} AS referenced_table
    ) AS expected_value,
    MIN({{ lib.render_target_column('analyzed_table')}}) AS actual_value
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}

---

total not null count match percent

Full sensor name

column/accuracy/total_not_null_count_match_percent

Description
Column level sensor that calculates percentage of the difference in row count of a column in a table and row count of a column of another table.

Parameters

Field name	Description	Allowed data type	Is it required?	Allowed values
referenced_table	This field can be used to define the name of the table to be compared to. In order to define the name of the table, user should write correct name as a String.	string
referenced_column	This field can be used to define the name of the column to be compared to. In order to define the name of the column, user should write correct name as a String.	string

SQL Template (Jinja2)

BigQueryMySQLPostgreSQLRedshiftSnowflakeSQL Server

{% 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(referenced_table.{{ lib.quote_identifier(parameters.referenced_column) }})
    FROM {{ render_referenced_table(parameters.referenced_table) }} AS referenced_table
    ) AS expected_value,
    COUNT({{ lib.render_target_column('analyzed_table')}}) 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(referenced_table) -}}
{%- else -%}
   {{ referenced_table }}
{%- endif -%}
{%- endmacro -%}

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

---

total sum match percent

Full sensor name

column/accuracy/total_sum_match_percent

Description
Column level sensor that calculates percentage of the difference in sum of a column in a table and sum of a column of another table.

Parameters

Field name	Description	Allowed data type	Is it required?	Allowed values
referenced_table	This field can be used to define the name of the table to be compared to. In order to define the name of the table, user should write correct name as a String.	string
referenced_column	This field can be used to define the name of the column to be compared to. In order to define the name of the column, user should write correct name as a String.	string

SQL Template (Jinja2)

BigQueryMySQLPostgreSQLRedshiftSnowflakeSQL Server

{% 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
        SUM(referenced_table.{{ lib.quote_identifier(parameters.referenced_column) }})
    FROM {{ render_referenced_table(parameters.referenced_table) }} AS referenced_table
    ) AS expected_value,
    SUM({{ lib.render_target_column('analyzed_table')}}) 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(referenced_table) -}}
{%- else -%}
   {{ referenced_table }}
{%- endif -%}
{%- endmacro -%}

SELECT
    (SELECT
        SUM(referenced_table.{{ lib.quote_identifier(parameters.referenced_column) }})
    FROM {{ render_referenced_table(parameters.referenced_table) }} AS referenced_table
    ) AS expected_value,
    SUM({{ lib.render_target_column('analyzed_table')}}) 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
        SUM(referenced_table.{{ lib.quote_identifier(parameters.referenced_column) }})
    FROM {{ render_referenced_table(parameters.referenced_table) }} AS referenced_table
    ) AS expected_value,
    SUM({{ lib.render_target_column('analyzed_table')}}) 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
        SUM(referenced_table.{{ lib.quote_identifier(parameters.referenced_column) }})
    FROM {{ render_referenced_table(parameters.referenced_table) }} AS referenced_table
    ) AS expected_value,
    SUM({{ lib.render_target_column('analyzed_table')}}) 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
        SUM(referenced_table.{{ lib.quote_identifier(parameters.referenced_column) }})
    FROM {{ render_referenced_table(parameters.referenced_table) }} AS referenced_table
    ) AS expected_value,
    SUM({{ lib.render_target_column('analyzed_table')}}) 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
        SUM(referenced_table.{{ lib.quote_identifier(parameters.referenced_column) }})
    FROM {{ render_referenced_table(parameters.referenced_table) }} AS referenced_table
    ) AS expected_value,
    SUM({{ lib.render_target_column('analyzed_table')}}) AS actual_value
FROM {{ lib.render_target_table() }} AS analyzed_table
{{- lib.render_where_clause() -}}

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