dbt run --select elementary
to create the Elementary package models.elementary.table_anomalies
Executes table level monitors and anomaly detection. Specific monitors are detailed here and can be configured using the table_anomalies
key.
By default, the freshness test will use the timestamp_column
provided. If you need to test for freshness by another column (e.g. if your table is partitioned), add the key freshness_column
to the test. elementary.all_columns_anomalies
Executes column level monitors and anomaly detection on all the columns of the table. Specific monitors are detailed here and can be configured using the all_columns_anomalies
key.elementary.schema_changes
Executes schema changes monitor that alerts on deleted table, deleted or added columns, or change of data type of a column.elementary.column_anomalies
Executes column level monitors and anomaly detection. Specific monitors are detailed here and can be configured using the column_anomalies
key.--select tag:elementary
.
If you wish to only be warned on anomalies, configure the severity of the tests to warn. dbt test
run, all results and collected metrics are merged into the elementary models. dbt test
run, all results and collected metrics are merged into the elementary models. The relevant models are: