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    <title>topic Re: Can we update the jars on a running interactive cluster? Is there a way we can reload the Jars and make them available for use on the Notebook/Jobs ? in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/can-we-update-the-jars-on-a-running-interactive-cluster-is-there/m-p/27031#M18948</link>
    <description>&lt;P&gt;Since the SparkContext is already up and running, it requires a restart.  Technically, it might be possible to kill the JVM process and restart it but we do not recommend that approach. In this case, we recommend restarting the cluster so that the SparkContext picks up the new jars on startup.&lt;/P&gt;</description>
    <pubDate>Fri, 07 May 2021 14:31:43 GMT</pubDate>
    <dc:creator>User15813097110</dc:creator>
    <dc:date>2021-05-07T14:31:43Z</dc:date>
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      <title>Can we update the jars on a running interactive cluster? Is there a way we can reload the Jars and make them available for use on the Notebook/Jobs ?</title>
      <link>https://community.databricks.com/t5/data-engineering/can-we-update-the-jars-on-a-running-interactive-cluster-is-there/m-p/27030#M18947</link>
      <description />
      <pubDate>Fri, 07 May 2021 14:24:28 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/can-we-update-the-jars-on-a-running-interactive-cluster-is-there/m-p/27030#M18947</guid>
      <dc:creator>User15813097110</dc:creator>
      <dc:date>2021-05-07T14:24:28Z</dc:date>
    </item>
    <item>
      <title>Re: Can we update the jars on a running interactive cluster? Is there a way we can reload the Jars and make them available for use on the Notebook/Jobs ?</title>
      <link>https://community.databricks.com/t5/data-engineering/can-we-update-the-jars-on-a-running-interactive-cluster-is-there/m-p/27031#M18948</link>
      <description>&lt;P&gt;Since the SparkContext is already up and running, it requires a restart.  Technically, it might be possible to kill the JVM process and restart it but we do not recommend that approach. In this case, we recommend restarting the cluster so that the SparkContext picks up the new jars on startup.&lt;/P&gt;</description>
      <pubDate>Fri, 07 May 2021 14:31:43 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/can-we-update-the-jars-on-a-running-interactive-cluster-is-there/m-p/27031#M18948</guid>
      <dc:creator>User15813097110</dc:creator>
      <dc:date>2021-05-07T14:31:43Z</dc:date>
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