Kyle Savage
10/13/2025, 4:13 PMkapa.ai
10/13/2025, 4:13 PMkapa.ai
10/13/2025, 4:13 PManomaly_sensitivity values and set their severity accordingly: yaml tests: - elementary.volume_anomalies: anomaly_sensitivity: 1 config: severity: warn - elementary.volume_anomalies: anomaly_sensitivity: 3 config: severity: error This way, the test with lower sensitivity (more sensitive, so more likely to warn) will trigger a warning, and the test with higher sensitivity will trigger an error for more significant anomalies. However, you cannot set both behaviors in a single test at this time. There is an open feature request to support this kind of configuration, but it is not yet available in the current version of Elementary [Github Issue: Add option to configure warn sensitivity](https://github.com/elementary-data/elementary/issues/1172) [Slack discussion](https://slack.com/archives/C02CTC89LAX/p1693358780626649). If this feature is important for your workflow, you may want to follow or contribute to the open issue for updates.Kyle Savage
10/13/2025, 6:45 PMkapa.ai
10/13/2025, 6:45 PMkapa.ai
10/13/2025, 6:45 PMelementary.get_package_database_and_schema. You can use this macro in your own macro to construct the full relation object or string for an Elementary table. Here’s an example of how you might use it in a macro: jinja {% set database_name, schema_name = elementary.get_package_database_and_schema('elementary') %} {% set target_relation = adapter.get_relation( database=database_name, schema=schema_name, identifier='your_elementary_table_name' ) %} This will give you the relation object for the specified Elementary table. You can then use target_relation as needed in your macro. This approach is confirmed in troubleshooting discussions where users needed to reference Elementary tables dynamically in macros [Slack discussion](https://slack.com/archives/C02CTC89LAX/p1670326107972819). If you just need the full string path, you can use the values of database_name, schema_name, and your table name to construct it as database_name.schema_name.table_name. Let me know if you need a more specific example!