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    <title>topic Re: DLT Publish event log to metastore in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/dlt-publish-event-log-to-metastore/m-p/116330#M45287</link>
    <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="https://community.databricks.com/t5/user/viewprofilepage/user-id/99143"&gt;@ankit001mittal&lt;/a&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Yes, you're right, when you enable the "Publish Event Log to Metastore" option for DLT pipelines, Databricks creates a separate event log table for each pipeline. So, if you have thousands of pipelines, you'll see thousands of log tables. There’s no built-in feature at the moment to automatically combine all logs into a single centralised table like the system tables.&lt;BR /&gt;&lt;BR /&gt;Your approach is valid. If you want a unified view of all logs across pipelines, you can create a SQL view that uses UNION ALL across the individual event log tables. Or set up a streaming process that regularly consolidates logs into one Delta table for easier querying and dashboarding.&lt;/P&gt;</description>
    <pubDate>Wed, 23 Apr 2025 13:11:10 GMT</pubDate>
    <dc:creator>SP_6721</dc:creator>
    <dc:date>2025-04-23T13:11:10Z</dc:date>
    <item>
      <title>DLT Publish event log to metastore</title>
      <link>https://community.databricks.com/t5/data-engineering/dlt-publish-event-log-to-metastore/m-p/116197#M45262</link>
      <description>&lt;P&gt;Hi Guys,&lt;/P&gt;&lt;P&gt;I am trying to use&lt;STRONG&gt; DLT Publish event log to metastore&amp;nbsp;&lt;/STRONG&gt;feature.&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="ankit001mittal_0-1745328628320.png" style="width: 400px;"&gt;&lt;img src="https://community.databricks.com/t5/image/serverpage/image-id/16145i2602DB1CFD3003E6/image-size/medium?v=v2&amp;amp;px=400" role="button" title="ankit001mittal_0-1745328628320.png" alt="ankit001mittal_0-1745328628320.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;and I noticed it creates a table with the logs for each DLT pipelines separately. Does it mean it maintains the separate log table for all the DLT tables ( in our case, we have 1000s of tables through DLT ) ? or is there a way to include all the logs in 1-2 DLT logs table, like we have job and job task run timelines tables in system.lakeflow schema.&amp;nbsp;&lt;BR /&gt;Please let me know if my approach is wrong here, and if there is an efficient way to handle this.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 22 Apr 2025 13:36:39 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/dlt-publish-event-log-to-metastore/m-p/116197#M45262</guid>
      <dc:creator>ankit001mittal</dc:creator>
      <dc:date>2025-04-22T13:36:39Z</dc:date>
    </item>
    <item>
      <title>Re: DLT Publish event log to metastore</title>
      <link>https://community.databricks.com/t5/data-engineering/dlt-publish-event-log-to-metastore/m-p/116330#M45287</link>
      <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="https://community.databricks.com/t5/user/viewprofilepage/user-id/99143"&gt;@ankit001mittal&lt;/a&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Yes, you're right, when you enable the "Publish Event Log to Metastore" option for DLT pipelines, Databricks creates a separate event log table for each pipeline. So, if you have thousands of pipelines, you'll see thousands of log tables. There’s no built-in feature at the moment to automatically combine all logs into a single centralised table like the system tables.&lt;BR /&gt;&lt;BR /&gt;Your approach is valid. If you want a unified view of all logs across pipelines, you can create a SQL view that uses UNION ALL across the individual event log tables. Or set up a streaming process that regularly consolidates logs into one Delta table for easier querying and dashboarding.&lt;/P&gt;</description>
      <pubDate>Wed, 23 Apr 2025 13:11:10 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/dlt-publish-event-log-to-metastore/m-p/116330#M45287</guid>
      <dc:creator>SP_6721</dc:creator>
      <dc:date>2025-04-23T13:11:10Z</dc:date>
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