> ## Documentation Index > Fetch the complete documentation index at: https://elementary-more-explicit-webhook-instructions.mintlify.site/llms.txt > Use this file to discover all available pages before exploring further. # all_columns_anomalies `elementary.all_columns_anomalies` Executes column level monitors and anomaly detection on all the columns of the table. Specific monitors are detailed in the table below and can be configured using the `columns_anomalies` configuration. The test checks the data type of each column and only executes monitors that are relevant to it. You can use `column_anomalies` param to override the default monitors, and `exclude_prefix` / `exclude_regexp` to exclude columns from the test. ### Test configuration No mandatory configuration, however it is highly recommended to configure a `timestamp_column`. {/* prettier-ignore */} 
  
    tests:
      -- elementary.all\_columns\_anomalies:
        timestamp\_column: column name
        column\_anomalies: column monitors list
        exclude\_prefix: string
        exclude\_regexp: regex
        where\_expression: sql expression
        anomaly\_sensitivity: int
        anomaly\_direction: \[both | spike | drop]
        detection\_period:
          period: \[hour | day | week | month]
          count: int
        training\_period:
          period: \[hour | day | week | month]
          count: int
        time\_bucket:
          period: \[hour | day | week | month]
          count: int
        seasonality: day\_of\_week
        detection\_delay:
          period: \[hour | day | week | month]
          count: int
        ignore\_small\_changes:
          spike\_failure\_percent\_threshold: int
          drop\_failure\_percent\_threshold: int
        anomaly\_exclude\_metrics: \[SQL expression]
```yml Models models: - name: < model name > config: elementary: timestamp_column: < timestamp column > tests: - elementary.all_columns_anomalies: column_anomalies: < specific monitors, all if null > where_expression: < sql expression > time_bucket: # Daily by default period: < time period > count: < number of periods > ``` ```yml Models example models: - name: login_events config: elementary: timestamp_column: "loaded_at" tests: - elementary.all_columns_anomalies: where_expression: "event_type in ('event_1', 'event_2') and country_name != 'unwanted country'" time_bucket: period: day count: 1 tags: ["elementary"] # optional - change global sensitivity anomaly_sensitivity: 3.5 ```