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    <title>topic DLT Performance in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/dlt-performance/m-p/63931#M32405</link>
    <description>&lt;P&gt;Hi,&lt;/P&gt;&lt;P&gt;Context:&lt;/P&gt;&lt;P&gt;I have created a Delta Live Table pipeline in a UC enabled workspace that is set to Continuous.&lt;/P&gt;&lt;P&gt;Within this pipeline,&lt;/P&gt;&lt;P&gt;I have bronze which uses Autoloader and reads files stored in ADLS Gen2 storage account in a JSON file format. We received files 200 files per minute and sizes of this files can vary upto MB.&amp;nbsp;&lt;/P&gt;&lt;P&gt;I have Silver tables that reads Bronze which we use APPLY_CHANGES in SCD2 enabled.&amp;nbsp;&lt;/P&gt;&lt;P&gt;Gold tables are mainly uses for aggregation and report specific.&lt;/P&gt;&lt;P&gt;At first, we see that it performed very well. But as data grows so does the performance goes down. In the first few millions it processed, it only took 5-8 mins from Bronze &amp;gt; Silver &amp;gt; Gold. Now it tooks 2-3 hrs to finished.&lt;/P&gt;&lt;P&gt;Upon looking at the job stages, I see some Scheduler Delay and&amp;nbsp;&lt;SPAN&gt;Executor Computing Time getting longer in the Bronze.&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;I tried to set maxFilePerTrigger to 200. But this having the same.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Anyone has this behavior in DLT and how to optimize this.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Cheers,&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Gil&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Sun, 17 Mar 2024 21:01:59 GMT</pubDate>
    <dc:creator>Gilg</dc:creator>
    <dc:date>2024-03-17T21:01:59Z</dc:date>
    <item>
      <title>DLT Performance</title>
      <link>https://community.databricks.com/t5/data-engineering/dlt-performance/m-p/63931#M32405</link>
      <description>&lt;P&gt;Hi,&lt;/P&gt;&lt;P&gt;Context:&lt;/P&gt;&lt;P&gt;I have created a Delta Live Table pipeline in a UC enabled workspace that is set to Continuous.&lt;/P&gt;&lt;P&gt;Within this pipeline,&lt;/P&gt;&lt;P&gt;I have bronze which uses Autoloader and reads files stored in ADLS Gen2 storage account in a JSON file format. We received files 200 files per minute and sizes of this files can vary upto MB.&amp;nbsp;&lt;/P&gt;&lt;P&gt;I have Silver tables that reads Bronze which we use APPLY_CHANGES in SCD2 enabled.&amp;nbsp;&lt;/P&gt;&lt;P&gt;Gold tables are mainly uses for aggregation and report specific.&lt;/P&gt;&lt;P&gt;At first, we see that it performed very well. But as data grows so does the performance goes down. In the first few millions it processed, it only took 5-8 mins from Bronze &amp;gt; Silver &amp;gt; Gold. Now it tooks 2-3 hrs to finished.&lt;/P&gt;&lt;P&gt;Upon looking at the job stages, I see some Scheduler Delay and&amp;nbsp;&lt;SPAN&gt;Executor Computing Time getting longer in the Bronze.&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;I tried to set maxFilePerTrigger to 200. But this having the same.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Anyone has this behavior in DLT and how to optimize this.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Cheers,&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Gil&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Sun, 17 Mar 2024 21:01:59 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/dlt-performance/m-p/63931#M32405</guid>
      <dc:creator>Gilg</dc:creator>
      <dc:date>2024-03-17T21:01:59Z</dc:date>
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