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Monitor Lakeflow Declarative Pipelines

This section describes monitoring and observability features for Lakeflow Declarative Pipelines.

Topic

Description

Monitor using the UI

Observe the progress and status of pipeline updates, and alert on the success or failure. View metrics for streaming sources, like Apache Kafka and Auto Loader.

Event log

Extract detailed information on pipeline updates such as data lineage, data quality metrics, and resource usage using the Lakeflow Declarative Pipelines event log.

Additionally, see the schema for the event log.

Query history

Inspect and diagnose query performance by looking at the query history.

Custom monitoring

Define custom actions to take when specific events occur using event hooks.

Additionally, there are troubleshooting topics for specific scenarios.

Topic

Description

Recover a Lakeflow Declarative Pipelines from streaming checkpoint failure

Recover a pipeline that has an invalid or corrupted streaming checkpoint.

Fixing high initialization times in Lakeflow Declarative Pipelines

Fix high initialization times for a pipeline by splitting and load balancing flows across pipelines.