table daily monitoring checks

TableDailyMonitoringCheckCategoriesSpec

Container of table level daily monitoring. Contains categories of daily monitoring.

The structure of this object is described below

Property name	Description	Data type
volume	Daily monitoring volume data quality checks	TableVolumeDailyMonitoringChecksSpec
timeliness	Daily monitoring timeliness checks	TableTimelinessDailyMonitoringChecksSpec
accuracy	Daily monitoring accuracy checks	TableAccuracyDailyMonitoringChecksSpec
sql	Daily monitoring custom SQL checks	TableSqlDailyMonitoringChecksSpec
availability	Daily monitoring table availability checks	TableAvailabilityDailyMonitoringChecksSpec
schema	Daily monitoring table schema checks	TableSchemaDailyMonitoringChecksSpec
comparisons	Dictionary of configuration of checks for table comparisons. The key that identifies each comparison must match the name of a data comparison that is configured on the parent table.	TableComparisonDailyMonitoringChecksSpecMap
custom	Dictionary of custom checks. The keys are check names within this category.	CustomCheckSpecMap

TableVolumeDailyMonitoringChecksSpec

Container of table level daily monitoring for volume data quality checks.

The structure of this object is described below

Property name	Description	Data type
daily_row_count	Verifies that the tested table has at least a minimum accepted number of rows. The default configuration of the warning, error and fatal severity rules verifies a minimum row count of one row, which checks if the table is not empty. When the data grouping is configured, this check will count rows using a GROUP BY clause and verify that each data grouping has an expected minimum number of rows.Stores the most recent captured row count value for each day when the row count was evaluated.	TableRowCountCheckSpec
daily_row_count_anomaly_differencing_30_days	Verifies that the total row count of the tested table changes in a rate within a percentile boundary during last 30 days.	TableAnomalyDifferencingRowCount30DaysCheckSpec
daily_row_count_anomaly_differencing	Verifies that the total row count of the tested table changes in a rate within a percentile boundary during last 90 days.	TableAnomalyDifferencingRowCountCheckSpec
daily_row_count_change	Verifies that the total row count of the tested table has changed by a fixed rate since the last day with a row count captured.	TableChangeRowCountCheckSpec
daily_row_count_change_yesterday	Verifies that the total row count of the tested table has changed by a fixed rate since the last readout from yesterday. Allows for exact match to readouts from yesterday or past readouts lookup.	TableChangeRowCountSinceYesterdayCheckSpec
daily_row_count_change_7_days	Verifies that the total row count of the tested table has changed by a fixed rate since the last readout from last week. Allows for exact match to readouts from 7 days ago or past readouts lookup.	TableChangeRowCountSince7DaysCheckSpec
daily_row_count_change_30_days	Verifies that the total row count of the tested table has changed by a fixed rate since the last readout from last month. Allows for exact match to readouts from 30 days ago or past readouts lookup.	TableChangeRowCountSince30DaysCheckSpec
custom_checks	Dictionary of additional custom checks within this category. The keys are check names defined in the definition section. The sensor parameters and rules should match the type of the configured sensor and rule for the custom check.	CustomCategoryCheckSpecMap

TableSqlDailyMonitoringChecksSpec

Container of built-in preconfigured data quality checks on a table level that are using custom SQL expressions (conditions).

The structure of this object is described below

Property name	Description	Data type
daily_sql_condition_passed_percent_on_table	Verifies that a set percentage of rows passed a custom SQL condition (expression). Stores the most recent captured value for each day when the data quality check was evaluated.	TableSqlConditionPassedPercentCheckSpec
daily_sql_condition_failed_count_on_table	Verifies that a set number of rows failed a custom SQL condition (expression). Stores the most recent captured value for each day when the data quality check was evaluated.	TableSqlConditionFailedCountCheckSpec
daily_sql_aggregate_expr_table	Verifies that a custom aggregated SQL expression (MIN, MAX, etc.) is not outside the set range. Stores the most recent captured value for each day when the data quality check was evaluated.	TableSqlAggregateExprCheckSpec
custom_checks	Dictionary of additional custom checks within this category. The keys are check names defined in the definition section. The sensor parameters and rules should match the type of the configured sensor and rule for the custom check.	CustomCategoryCheckSpecMap

TableTimelinessDailyMonitoringChecksSpec

Container of table level daily monitoring for timeliness data quality checks.

The structure of this object is described below

Property name	Description	Data type
daily_data_freshness	Daily calculating the number of days since the most recent event timestamp (freshness)	TableDataFreshnessCheckSpec
daily_data_staleness	Daily calculating the time difference in days between the current date and the most recent data ingestion timestamp (staleness)	TableDataStalenessCheckSpec
daily_data_ingestion_delay	Daily calculating the time difference in days between the most recent event timestamp and the most recent ingestion timestamp	TableDataIngestionDelayCheckSpec
custom_checks	Dictionary of additional custom checks within this category. The keys are check names defined in the definition section. The sensor parameters and rules should match the type of the configured sensor and rule for the custom check.	CustomCategoryCheckSpecMap

TableAvailabilityDailyMonitoringChecksSpec

Container of built-in preconfigured data quality checks on a table level that are detecting the table availability.

The structure of this object is described below

Property name	Description	Data type	Enum values	Default value	Sample values
daily_table_availability	Verifies availability on table in database using simple row count. Stores the most recent table availability status for each day when the data quality check was evaluated.	TableAvailabilityCheckSpec
custom_checks	Dictionary of additional custom checks within this category. The keys are check names defined in the definition section. The sensor parameters and rules should match the type of the configured sensor and rule for the custom check.	CustomCategoryCheckSpecMap

TableComparisonDailyMonitoringChecksSpec

Container of built-in comparison (accuracy) checks on a table level that are using a defined comparison to identify the reference table and the data grouping configuration. Contains the daily monitoring comparison checks.

The structure of this object is described below

Property name	Description	Data type
daily_row_count_match	Verifies that the row count of the tested (parent) table matches the row count of the reference table. Compares each group of data with a GROUP BY clause. Stores the most recent captured value for each day when the data quality check was evaluated.	TableComparisonRowCountMatchCheckSpec
daily_column_count_match	Verifies that the column count of the tested (parent) table matches the column count of the reference table. Only one comparison result is returned, without data grouping. Stores the most recent captured value for each day when the data quality check was evaluated.	TableComparisonColumnCountMatchCheckSpec
custom_checks	Dictionary of additional custom checks within this category. The keys are check names defined in the definition section. The sensor parameters and rules should match the type of the configured sensor and rule for the custom check.	CustomCategoryCheckSpecMap

TableSchemaDailyMonitoringChecksSpec

Container of built-in preconfigured volume data quality checks on a table level that are executed as a daily monitoring (checkpoint) checks.

The structure of this object is described below

Property name	Description	Data type
daily_column_count	Detects if the number of column matches an expected number. Retrieves the metadata of the monitored table, counts the number of columns and compares it to an expected value (an expected number of columns). Stores the most recent column count for each day when the data quality check was evaluated.	TableSchemaColumnCountCheckSpec
daily_column_count_changed	Detects if the count of columns has changed since the most recent day. Retrieves the metadata of the monitored table, counts the number of columns and compares it the last known column count that was captured when this data quality check was executed the last time. Stores the most recent column count for each day when the data quality check was evaluated.	TableSchemaColumnCountChangedCheckSpec
daily_column_list_changed	Detects if new columns were added or existing columns were removed since the most recent day. Retrieves the metadata of the monitored table and calculates an unordered hash of the column names. Compares the current hash to the previously known hash to detect any changes to the list of columns.	TableSchemaColumnListChangedCheckSpec
daily_column_list_or_order_changed	Detects if new columns were added, existing columns were removed or the columns were reordered since the most recent day. Retrieves the metadata of the monitored table and calculates an ordered hash of the column names. Compares the current hash to the previously known hash to detect any changes to the list of columns or their order.	TableSchemaColumnListOrOrderChangedCheckSpec
daily_column_types_changed	Detects if new columns were added, removed or their data types have changed since the most recent day. Retrieves the metadata of the monitored table and calculates an unordered hash of the column names and the data types (including the length, scale, precision, nullability). Compares the current hash to the previously known hash to detect any changes to the list of columns or their types.	TableSchemaColumnTypesChangedCheckSpec
custom_checks	Dictionary of additional custom checks within this category. The keys are check names defined in the definition section. The sensor parameters and rules should match the type of the configured sensor and rule for the custom check.	CustomCategoryCheckSpecMap

TableComparisonDailyMonitoringChecksSpecMap

Container of comparison checks for each defined data comparison. The name of the key in this dictionary must match a name of a table comparison that is defined on the parent table. Contains the daily monitoring comparison checks for each configured reference table.

The structure of this object is described below

Property name	Description	Data type	Enum values	Default value	Sample values
self		Dict[string, TableComparisonDailyMonitoringChecksSpec]

TableAccuracyDailyMonitoringChecksSpec

Container of built-in preconfigured data quality checks on a table level that are verifying the accuracy of the table, comparing it with another reference table.

The structure of this object is described below

Property name	Description	Data type	Enum values	Default value	Sample values
daily_total_row_count_match_percent	Verifies the total ow count of a tested table and compares it to a row count of a reference table. Stores the most recent captured value for each day when the data quality check was evaluated.	TableAccuracyTotalRowCountMatchPercentCheckSpec
custom_checks	Dictionary of additional custom checks within this category. The keys are check names defined in the definition section. The sensor parameters and rules should match the type of the configured sensor and rule for the custom check.	CustomCategoryCheckSpecMap