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AppsDatabricks ToolsDatabricks Qualitymonitorv2 Quality Monitor V2 Create
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Databricks Qualitymonitorv2 Quality Monitor V2 Create

Tool to create a quality monitor for Unity Catalog table. Use when you need to set up monitoring for data quality metrics, track drift over time, or monitor ML inference logs. Monitor creation is asynchronous; dashboard and metric tables take 8-20 minutes to complete. Exactly on…

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Use Databricks Qualitymonitorv2 Quality Monitor V2 Create

Pricing and limits

Pricing
Free
Unified payment
Not currently supported

Inputs

  • scheduleobject
    Cron schedule configuration for automatic monitor refresh.
  • snapshotobject
    Snapshot table monitoring configuration.
  • assets_dirstring
    Required
    Absolute workspace path for storing monitoring assets including dashboard and metric tables (e.g., /Workspace/Users/{email}/monitoring/)
  • table_namestring
    Required
    Full name of Unity Catalog table to monitor in format catalog.schema.table_name (case insensitive, spaces disallowed)
  • time_seriesobject
    Time series monitoring configuration.
  • warehouse_idstring
    Warehouse ID for dashboard query execution
  • inference_logobject
    Inference log monitoring configuration for ML models.
  • notificationsobject
    Notification settings for quality monitor alerts.
  • slicing_exprsarray
    Column expressions for slicing data to enable targeted analysis on data segments
  • custom_metricsarray
    User-defined custom quality metrics for specialized monitoring needs
  • output_schema_namestring
    Required
    Schema where output metric tables are created in 2-level format {catalog}.{schema}
  • baseline_table_namestring
    Baseline table name for computing drift metrics in format catalog.schema.table_name

Observable output

  • data
    Required
    Data from the action execution
  • errorstring
    Error if any occurred during the execution of the action
  • successfulboolean
    Required
    Whether or not the action execution was successful or not

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