Dimension anomalies
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The elementary.dimension_anomalies
test counts rows grouped by given dimensions
(columns/expressions). It monitors the frequency of values in the configured dimension over time and alerts on unexpected changes in the distribution. This test is best configured on low-cardinality fields.
If timestamp_column
is configured, the distribution is collected per time_bucket
.
If not, it counts the total rows per dimension.
The test alerts on unexpected changes in the distribution of dimension values over time.
Required configuration: dimensions
The test is best suited for low-cardinality fields.
If timestamp_column
is not configured, the test will monitor without time filtering.
Tags can be used to run elementary tests on a dedicated run.
Severity can be optionally changed in the config section.
The where_expression
can be used to refine the scope of dimension monitoring.