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    <title>topic How are parallel and subsequent jobs handled by cluster? in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/how-are-parallel-and-subsequent-jobs-handled-by-cluster/m-p/11405#M6388</link>
    <description>&lt;P&gt;Hello,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Apologize for dumb question but i'm new to Databricks and need clarification on following.&lt;/P&gt;&lt;P&gt;Are parallel and subsequent jobs able to reuse the same compute resources to keep time and cost overhead as low as possible vs. are they spinning a new cluster all the time?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Regards,&lt;/P&gt;&lt;P&gt;Tanja&lt;/P&gt;</description>
    <pubDate>Wed, 18 Jan 2023 11:59:03 GMT</pubDate>
    <dc:creator>138999</dc:creator>
    <dc:date>2023-01-18T11:59:03Z</dc:date>
    <item>
      <title>How are parallel and subsequent jobs handled by cluster?</title>
      <link>https://community.databricks.com/t5/data-engineering/how-are-parallel-and-subsequent-jobs-handled-by-cluster/m-p/11405#M6388</link>
      <description>&lt;P&gt;Hello,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Apologize for dumb question but i'm new to Databricks and need clarification on following.&lt;/P&gt;&lt;P&gt;Are parallel and subsequent jobs able to reuse the same compute resources to keep time and cost overhead as low as possible vs. are they spinning a new cluster all the time?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Regards,&lt;/P&gt;&lt;P&gt;Tanja&lt;/P&gt;</description>
      <pubDate>Wed, 18 Jan 2023 11:59:03 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/how-are-parallel-and-subsequent-jobs-handled-by-cluster/m-p/11405#M6388</guid>
      <dc:creator>138999</dc:creator>
      <dc:date>2023-01-18T11:59:03Z</dc:date>
    </item>
    <item>
      <title>Re: How are parallel and subsequent jobs handled by cluster?</title>
      <link>https://community.databricks.com/t5/data-engineering/how-are-parallel-and-subsequent-jobs-handled-by-cluster/m-p/11406#M6389</link>
      <description>&lt;P&gt;@tanja.savic tanja.savic​&amp;nbsp;&lt;/P&gt;&lt;P&gt;You can use &lt;B&gt;shared job cluster&lt;/B&gt;:&lt;/P&gt;&lt;P&gt;&lt;A href="https://docs.databricks.com/workflows/jobs/jobs.html#use-shared-job-clusters" alt="https://docs.databricks.com/workflows/jobs/jobs.html#use-shared-job-clusters" target="_blank"&gt;https://docs.databricks.com/workflows/jobs/jobs.html#use-shared-job-clusters&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;But remember that a shared job cluster is scoped to a single job run, and cannot be used by other jobs or runs of the same job. It means that 1 job = 1 cluster&lt;/P&gt;&lt;P&gt;&lt;/P&gt;</description>
      <pubDate>Wed, 18 Jan 2023 12:55:02 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/how-are-parallel-and-subsequent-jobs-handled-by-cluster/m-p/11406#M6389</guid>
      <dc:creator>daniel_sahal</dc:creator>
      <dc:date>2023-01-18T12:55:02Z</dc:date>
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