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    <title>topic Re: Job Run Failed - &amp;quot;Cluster became unreachable during run&amp;quot; with Cause: &amp;quot;requirement in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/job-run-failed-quot-cluster-became-unreachable-during-run-quot/m-p/132345#M49438</link>
    <description>&lt;P&gt;&lt;SPAN&gt;Hello &lt;a href="https://community.databricks.com/t5/user/viewprofilepage/user-id/132955"&gt;@apurvasawant&lt;/a&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;I'm sorry you are seeing this behavior while using Jobs. Definitely, these messages don't help much.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;When this happens, I suggest taking a step back and reviewing the configuration of your Job and some troubleshooting:&lt;/SPAN&gt;&lt;/P&gt;
&lt;UL&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;SPAN&gt;What is the Task Type that is causing this exception? A Notebook, Python, or Scala code?&lt;/SPAN&gt;&lt;/LI&gt;
&lt;UL&gt;
&lt;LI style="font-weight: 400;" aria-level="2"&gt;&lt;SPAN&gt;If so, are you able to capture how much progress this task is making?&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI style="font-weight: 400;" aria-level="2"&gt;&lt;SPAN&gt;Perhaps this task is overloading the driver; for this, consider leveraging distributed tasks across your cluster nodes.&amp;nbsp;&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI style="font-weight: 400;" aria-level="2"&gt;&lt;SPAN&gt;Validate if your cluster can handle a simplified version of your task and incrementally add more coverage until you find what is actually causing the problem in your task.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;/UL&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;SPAN&gt;What is the cluster configured for this task?&lt;/SPAN&gt;&lt;/LI&gt;
&lt;UL&gt;
&lt;LI style="font-weight: 400;" aria-level="2"&gt;&lt;SPAN&gt;Is it an interactive cluster? Or a Job Cluster?&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI style="font-weight: 400;" aria-level="2"&gt;&lt;SPAN&gt;What runtime, memory, and cores is your cluster configured for? Is it capable of handling your data volume and processing needs?&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI style="font-weight: 400;" aria-level="2"&gt;&lt;SPAN&gt;Have you tried using serverless?&lt;/SPAN&gt;&lt;/LI&gt;
&lt;/UL&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;SPAN&gt;What is the profile of the data that will be handled for the Task?&lt;/SPAN&gt;&lt;/LI&gt;
&lt;UL&gt;
&lt;LI style="font-weight: 400;" aria-level="2"&gt;&lt;SPAN&gt;You may want to start with a small portion of the total volume of data and incrementally add more until you find the culprit.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;/UL&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;SPAN&gt;Monitoring:&lt;/SPAN&gt;&lt;/LI&gt;
&lt;UL&gt;
&lt;LI style="font-weight: 400;" aria-level="2"&gt;&lt;SPAN&gt;You may want to export the job run logs to get more details about the execution of your tasks - &lt;/SPAN&gt;&lt;A href="https://docs.databricks.com/aws/en/jobs/monitor#export-job-run-logs" target="_blank"&gt;&lt;SPAN&gt;https://docs.databricks.com/aws/en/jobs/monitor#export-job-run-logs&lt;/SPAN&gt;&lt;/A&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI style="font-weight: 400;" aria-level="2"&gt;&lt;SPAN&gt;Leverage the Timeline View to see what operations&amp;nbsp; your task is executing - &lt;/SPAN&gt;&lt;A href="https://docs.databricks.com/aws/en/jobs/monitor#timeline-view" target="_blank"&gt;&lt;SPAN&gt;https://docs.databricks.com/aws/en/jobs/monitor#timeline-view&lt;/SPAN&gt;&lt;/A&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;/LI&gt;
&lt;/UL&gt;
&lt;/UL&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Unfortunately, I'm not able to provide a solid answer for your problem, but hopefully, these questions will provide different perspectives and considerations toward the design of your job and all components surrounding your task.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Thank you&lt;/SPAN&gt;&lt;/P&gt;</description>
    <pubDate>Thu, 18 Sep 2025 01:51:31 GMT</pubDate>
    <dc:creator>mmayorga</dc:creator>
    <dc:date>2025-09-18T01:51:31Z</dc:date>
    <item>
      <title>Job Run Failed - "Cluster became unreachable during run" with Cause: "requirement failed: Execution</title>
      <link>https://community.databricks.com/t5/data-engineering/job-run-failed-quot-cluster-became-unreachable-during-run-quot/m-p/127373#M47937</link>
      <description>&lt;P&gt;I'm encountering a failure while running a job in Databricks. The run fails with the following error message:&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;Cluster became unreachable during run Cause: requirement failed: Execution is done&lt;/STRONG&gt;&lt;BR /&gt;Details:&lt;/P&gt;&lt;P&gt;Runtime version: 15.4 LTS (includes Apache Spark 3.5.0, Scala 2.12)&lt;/P&gt;&lt;P&gt;Workers : 4&lt;/P&gt;&lt;P&gt;Any retry attempts? - No&lt;/P&gt;&lt;P&gt;Observed behavior: The job appears to start normally but fails shortly afterward with the above message. No specific error is shown in the logs except the generic “Execution is done” message.&lt;/P&gt;&lt;P&gt;Has anyone else faced this issue? What could be the root cause, and how can I avoid it?&lt;/P&gt;&lt;P&gt;Thanks in advance!&lt;/P&gt;</description>
      <pubDate>Mon, 04 Aug 2025 19:48:33 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/job-run-failed-quot-cluster-became-unreachable-during-run-quot/m-p/127373#M47937</guid>
      <dc:creator>apurvasawant</dc:creator>
      <dc:date>2025-08-04T19:48:33Z</dc:date>
    </item>
    <item>
      <title>Re: Job Run Failed - "Cluster became unreachable during run" with Cause: "requirement</title>
      <link>https://community.databricks.com/t5/data-engineering/job-run-failed-quot-cluster-became-unreachable-during-run-quot/m-p/132345#M49438</link>
      <description>&lt;P&gt;&lt;SPAN&gt;Hello &lt;a href="https://community.databricks.com/t5/user/viewprofilepage/user-id/132955"&gt;@apurvasawant&lt;/a&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;I'm sorry you are seeing this behavior while using Jobs. Definitely, these messages don't help much.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;When this happens, I suggest taking a step back and reviewing the configuration of your Job and some troubleshooting:&lt;/SPAN&gt;&lt;/P&gt;
&lt;UL&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;SPAN&gt;What is the Task Type that is causing this exception? A Notebook, Python, or Scala code?&lt;/SPAN&gt;&lt;/LI&gt;
&lt;UL&gt;
&lt;LI style="font-weight: 400;" aria-level="2"&gt;&lt;SPAN&gt;If so, are you able to capture how much progress this task is making?&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI style="font-weight: 400;" aria-level="2"&gt;&lt;SPAN&gt;Perhaps this task is overloading the driver; for this, consider leveraging distributed tasks across your cluster nodes.&amp;nbsp;&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI style="font-weight: 400;" aria-level="2"&gt;&lt;SPAN&gt;Validate if your cluster can handle a simplified version of your task and incrementally add more coverage until you find what is actually causing the problem in your task.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;/UL&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;SPAN&gt;What is the cluster configured for this task?&lt;/SPAN&gt;&lt;/LI&gt;
&lt;UL&gt;
&lt;LI style="font-weight: 400;" aria-level="2"&gt;&lt;SPAN&gt;Is it an interactive cluster? Or a Job Cluster?&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI style="font-weight: 400;" aria-level="2"&gt;&lt;SPAN&gt;What runtime, memory, and cores is your cluster configured for? Is it capable of handling your data volume and processing needs?&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI style="font-weight: 400;" aria-level="2"&gt;&lt;SPAN&gt;Have you tried using serverless?&lt;/SPAN&gt;&lt;/LI&gt;
&lt;/UL&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;SPAN&gt;What is the profile of the data that will be handled for the Task?&lt;/SPAN&gt;&lt;/LI&gt;
&lt;UL&gt;
&lt;LI style="font-weight: 400;" aria-level="2"&gt;&lt;SPAN&gt;You may want to start with a small portion of the total volume of data and incrementally add more until you find the culprit.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;/UL&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;SPAN&gt;Monitoring:&lt;/SPAN&gt;&lt;/LI&gt;
&lt;UL&gt;
&lt;LI style="font-weight: 400;" aria-level="2"&gt;&lt;SPAN&gt;You may want to export the job run logs to get more details about the execution of your tasks - &lt;/SPAN&gt;&lt;A href="https://docs.databricks.com/aws/en/jobs/monitor#export-job-run-logs" target="_blank"&gt;&lt;SPAN&gt;https://docs.databricks.com/aws/en/jobs/monitor#export-job-run-logs&lt;/SPAN&gt;&lt;/A&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI style="font-weight: 400;" aria-level="2"&gt;&lt;SPAN&gt;Leverage the Timeline View to see what operations&amp;nbsp; your task is executing - &lt;/SPAN&gt;&lt;A href="https://docs.databricks.com/aws/en/jobs/monitor#timeline-view" target="_blank"&gt;&lt;SPAN&gt;https://docs.databricks.com/aws/en/jobs/monitor#timeline-view&lt;/SPAN&gt;&lt;/A&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;/LI&gt;
&lt;/UL&gt;
&lt;/UL&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Unfortunately, I'm not able to provide a solid answer for your problem, but hopefully, these questions will provide different perspectives and considerations toward the design of your job and all components surrounding your task.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Thank you&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Thu, 18 Sep 2025 01:51:31 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/job-run-failed-quot-cluster-became-unreachable-during-run-quot/m-p/132345#M49438</guid>
      <dc:creator>mmayorga</dc:creator>
      <dc:date>2025-09-18T01:51:31Z</dc:date>
    </item>
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