New columns are now available in the Lakeflow system tables to provide enhanced job monitoring and troubleshooting capabilities: jobs table: trigger, trigger type, run as user name, creator user…
New columns are now available in the Lakeflow system tables to provide enhanced job monitoring and troubleshooting capabilities: jobs table: trigger, trigger type, run as user name, creator user name, paused, timeout seconds, health rules, deployment, create time job\ tasks table: timeout seconds, health rules job\ run\ timeline table: source task run id, root task run id, compute, termination type, setup duration seconds, queue duration seconds, run duration seconds, cleanup duration seconds, execution duration seconds job\ task\ run\ timeline table: compute, termination type, task parameters, setup duration seconds, cleanup duration seconds, execution duration seconds pipelines table: create time These columns are not populated for rows emitted before early December 2025. note The lakeflow schema was previously known as workflow. The content of both schemas is identical.
Reduces operational overhead and unlocks new capabilities for data teams on Databricks.
New columns are now available in the Lakeflow system tables to provide enhanced job monitoring and troubleshooting capabilities: jobs table: trigger, trigger type, run as user name, creator user name, paused, timeout seconds, health rules, deployment, create…
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