<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic Re: Jobs running forever in Spark UI in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/jobs-running-forever-in-spark-ui/m-p/19032#M12707</link>
    <description>&lt;P&gt;This happens if the Spark driver is missing events. The jobs/task are not running. The Spark UI is reporting incorrect stats. This can be treated as a harmless UI issue.&amp;nbsp;If you continue to see the issue consistently, then it might be good to review what is causing the Spark driver to be memory intensive and lose the  Spark events.&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Fri, 25 Jun 2021 18:55:51 GMT</pubDate>
    <dc:creator>brickster_2018</dc:creator>
    <dc:date>2021-06-25T18:55:51Z</dc:date>
    <item>
      <title>Jobs running forever in Spark UI</title>
      <link>https://community.databricks.com/t5/data-engineering/jobs-running-forever-in-spark-ui/m-p/19031#M12706</link>
      <description>&lt;P&gt;On the Spark UI, Jobs are running forever. But my notebook already completed the operations. Why the resources are wasted&lt;/P&gt;&lt;P&gt;&lt;/P&gt;</description>
      <pubDate>Fri, 25 Jun 2021 18:55:32 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/jobs-running-forever-in-spark-ui/m-p/19031#M12706</guid>
      <dc:creator>brickster_2018</dc:creator>
      <dc:date>2021-06-25T18:55:32Z</dc:date>
    </item>
    <item>
      <title>Re: Jobs running forever in Spark UI</title>
      <link>https://community.databricks.com/t5/data-engineering/jobs-running-forever-in-spark-ui/m-p/19032#M12707</link>
      <description>&lt;P&gt;This happens if the Spark driver is missing events. The jobs/task are not running. The Spark UI is reporting incorrect stats. This can be treated as a harmless UI issue.&amp;nbsp;If you continue to see the issue consistently, then it might be good to review what is causing the Spark driver to be memory intensive and lose the  Spark events.&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 25 Jun 2021 18:55:51 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/jobs-running-forever-in-spark-ui/m-p/19032#M12707</guid>
      <dc:creator>brickster_2018</dc:creator>
      <dc:date>2021-06-25T18:55:51Z</dc:date>
    </item>
  </channel>
</rss>

