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AppsDatabricks ToolsDatabricks Qualitymonitorv2 Quality Monitor V2 Create

Databricks Tools

Databricks Qualitymonitorv2 Quality Monitor V2 Create

Usa Databricks Qualitymonitorv2 Quality Monitor V2 Create con Databricks Tools mediante Aident Loadout. Revisa sus entradas, salidas, configuración, precio y riesgo antes de ejecutarla.

Action de escrituraNivel de riesgo 2 de 5

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Aident Loadout Aident Playbook Editor Open-CUAK

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Conexión con clave de API

Usar Databricks Qualitymonitorv2 Quality Monitor V2 Create

Descripción del proveedor

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…

Precios y límites

Precio: Action gratuita
Pago unificado: No compatible actualmente

Entradas

scheduleobject
Cron schedule configuration for automatic monitor refresh.
snapshotobject
Snapshot table monitoring configuration.
assets_dirstring
Obligatorio
Absolute workspace path for storing monitoring assets including dashboard and metric tables (e.g., /Workspace/Users/{email}/monitoring/)
table_namestring
Obligatorio
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
Obligatorio
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

Salida observable

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

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