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    <title>topic Re: Custom JobGroup in Spark UI for cluster with multiple executions in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/custom-jobgroup-in-spark-ui-for-cluster-with-multiple-executions/m-p/59361#M31374</link>
    <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="https://community.databricks.com/t5/user/viewprofilepage/user-id/69502"&gt;@FerArribas&lt;/a&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;The first digits of the jobgroup that are shown in the spark UI are&amp;nbsp;&lt;SPAN&gt;execContextId and cmdId(Command_ID).&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;You can think of the&amp;nbsp;&lt;/SPAN&gt;&lt;CODE class="c-mrkdwn__code" data-stringify-type="code"&gt;execContextId&lt;/CODE&gt;&lt;SPAN&gt;&amp;nbsp;as some kind of “REPL ID”&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;For example, if you take the below job group ID as an example,&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;jobGroupId: Option[String] = Some(3482599387390558128_6163657922384662685_job-532427916265395-run-416293225333467-action-6638250854918794) &lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;execContextId = 3482599387390558128 &lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;cmdId = 6163657922384662685 &lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;executionId = job-532427916265395-run-416293225333467-action-6638250854918794&lt;/SPAN&gt;&lt;/P&gt;</description>
    <pubDate>Tue, 06 Feb 2024 05:46:02 GMT</pubDate>
    <dc:creator>saikumar246</dc:creator>
    <dc:date>2024-02-06T05:46:02Z</dc:date>
    <item>
      <title>Custom JobGroup in Spark UI for cluster with multiple executions</title>
      <link>https://community.databricks.com/t5/data-engineering/custom-jobgroup-in-spark-ui-for-cluster-with-multiple-executions/m-p/59071#M31329</link>
      <description>&lt;P&gt;Does anyone know what the first digits of the jobgroup that are shown in the spark ui mean when using all purpose clusters to launch multiple jobs?&lt;/P&gt;&lt;P&gt;Right now the pattern is something like: [id_random]_job_[jod_id]_run-[run_id]_action_[action].&lt;/P&gt;</description>
      <pubDate>Fri, 02 Feb 2024 16:01:47 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/custom-jobgroup-in-spark-ui-for-cluster-with-multiple-executions/m-p/59071#M31329</guid>
      <dc:creator>FerArribas</dc:creator>
      <dc:date>2024-02-02T16:01:47Z</dc:date>
    </item>
    <item>
      <title>Re: Custom JobGroup in Spark UI for cluster with multiple executions</title>
      <link>https://community.databricks.com/t5/data-engineering/custom-jobgroup-in-spark-ui-for-cluster-with-multiple-executions/m-p/59361#M31374</link>
      <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="https://community.databricks.com/t5/user/viewprofilepage/user-id/69502"&gt;@FerArribas&lt;/a&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;The first digits of the jobgroup that are shown in the spark UI are&amp;nbsp;&lt;SPAN&gt;execContextId and cmdId(Command_ID).&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;You can think of the&amp;nbsp;&lt;/SPAN&gt;&lt;CODE class="c-mrkdwn__code" data-stringify-type="code"&gt;execContextId&lt;/CODE&gt;&lt;SPAN&gt;&amp;nbsp;as some kind of “REPL ID”&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;For example, if you take the below job group ID as an example,&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;jobGroupId: Option[String] = Some(3482599387390558128_6163657922384662685_job-532427916265395-run-416293225333467-action-6638250854918794) &lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;execContextId = 3482599387390558128 &lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;cmdId = 6163657922384662685 &lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;executionId = job-532427916265395-run-416293225333467-action-6638250854918794&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Tue, 06 Feb 2024 05:46:02 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/custom-jobgroup-in-spark-ui-for-cluster-with-multiple-executions/m-p/59361#M31374</guid>
      <dc:creator>saikumar246</dc:creator>
      <dc:date>2024-02-06T05:46:02Z</dc:date>
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