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    <title>topic Re: Parallelize spark jobs on the same cluster? in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/parallelize-spark-jobs-on-the-same-cluster/m-p/15583#M9891</link>
    <description>&lt;P&gt;In the past I used direct multi-threaded orchestration inside of driver applications, but that was prior to Databricks supporting multi-task jobs.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;If you create a job through the workflows tab, you can set up multiple notebooks, python, or jar tasks to run in parallel as well as configure a dependency graph between them if desired.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;You can either orchestrate those jobs via separate clusters in a single job or share the resources of one or more clusters across different tasks.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;You can do this without having to assign a schedule to the job.&lt;/P&gt;&lt;P&gt;​&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Hope this helps!&lt;/P&gt;</description>
    <pubDate>Wed, 29 Jun 2022 18:45:45 GMT</pubDate>
    <dc:creator>ron_defreitas</dc:creator>
    <dc:date>2022-06-29T18:45:45Z</dc:date>
    <item>
      <title>Parallelize spark jobs on the same cluster?</title>
      <link>https://community.databricks.com/t5/data-engineering/parallelize-spark-jobs-on-the-same-cluster/m-p/15582#M9890</link>
      <description>&lt;P&gt;Whats the best way to parallelize multiple spark jobs on the same cluster during a backfill?&lt;/P&gt;</description>
      <pubDate>Wed, 29 Jun 2022 16:51:16 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/parallelize-spark-jobs-on-the-same-cluster/m-p/15582#M9890</guid>
      <dc:creator>OliverLewis</dc:creator>
      <dc:date>2022-06-29T16:51:16Z</dc:date>
    </item>
    <item>
      <title>Re: Parallelize spark jobs on the same cluster?</title>
      <link>https://community.databricks.com/t5/data-engineering/parallelize-spark-jobs-on-the-same-cluster/m-p/15583#M9891</link>
      <description>&lt;P&gt;In the past I used direct multi-threaded orchestration inside of driver applications, but that was prior to Databricks supporting multi-task jobs.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;If you create a job through the workflows tab, you can set up multiple notebooks, python, or jar tasks to run in parallel as well as configure a dependency graph between them if desired.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;You can either orchestrate those jobs via separate clusters in a single job or share the resources of one or more clusters across different tasks.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;You can do this without having to assign a schedule to the job.&lt;/P&gt;&lt;P&gt;​&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Hope this helps!&lt;/P&gt;</description>
      <pubDate>Wed, 29 Jun 2022 18:45:45 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/parallelize-spark-jobs-on-the-same-cluster/m-p/15583#M9891</guid>
      <dc:creator>ron_defreitas</dc:creator>
      <dc:date>2022-06-29T18:45:45Z</dc:date>
    </item>
    <item>
      <title>Re: Parallelize spark jobs on the same cluster?</title>
      <link>https://community.databricks.com/t5/data-engineering/parallelize-spark-jobs-on-the-same-cluster/m-p/15585#M9893</link>
      <description>&lt;P&gt;Hi @Oliver Lewis​,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Just a friendly follow-up. Did any of the responses help you to resolve your question? if it did, please mark it as best. Otherwise, please let us know if you still need help.&lt;/P&gt;</description>
      <pubDate>Tue, 05 Jul 2022 17:30:10 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/parallelize-spark-jobs-on-the-same-cluster/m-p/15585#M9893</guid>
      <dc:creator>jose_gonzalez</dc:creator>
      <dc:date>2022-07-05T17:30:10Z</dc:date>
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