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    <title>topic Re: Databricks JAR task type functionality in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/databricks-jar-task-type-functionality/m-p/12684#M7452</link>
    <description>&lt;P&gt;Hi, Could you please go through &lt;A href="https://docs.databricks.com/workflows/jobs/how-to-use-jars-in-workflows.html" target="test_blank"&gt;https://docs.databricks.com/workflows/jobs/how-to-use-jars-in-workflows.html&lt;/A&gt; and let us know if this helps?&lt;/P&gt;</description>
    <pubDate>Wed, 11 Jan 2023 22:17:26 GMT</pubDate>
    <dc:creator>Debayan</dc:creator>
    <dc:date>2023-01-11T22:17:26Z</dc:date>
    <item>
      <title>Databricks JAR task type functionality</title>
      <link>https://community.databricks.com/t5/data-engineering/databricks-jar-task-type-functionality/m-p/12683#M7451</link>
      <description>&lt;P&gt;Hi, I would like to understand Databricks JAR based workflow tasks. Can I interpret JAR based runs to be something like a spark-submit on a cluster? In the logs, I was expecting to see the&amp;nbsp;&lt;/P&gt;&lt;P&gt;spark-submit --class com.xyz --num-executors 4&lt;/P&gt;&lt;P&gt;&amp;nbsp;etc., And, then there is another task type introduced recently I think — spark submit task type. If we have a JAR to execute, does spark submit task type and JAR type are implicitly working similar or different?&lt;/P&gt;</description>
      <pubDate>Wed, 11 Jan 2023 10:15:40 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/databricks-jar-task-type-functionality/m-p/12683#M7451</guid>
      <dc:creator>Chanu</dc:creator>
      <dc:date>2023-01-11T10:15:40Z</dc:date>
    </item>
    <item>
      <title>Re: Databricks JAR task type functionality</title>
      <link>https://community.databricks.com/t5/data-engineering/databricks-jar-task-type-functionality/m-p/12685#M7453</link>
      <description>&lt;P&gt;Hi, I did try using the Workflows&amp;gt;Jobs&amp;gt;CreateTask&amp;gt;JarTaskType&amp;gt;UploadedMyJAR and Class and created JobCluster and tested this task. This JAR reads some tables  as input, does some transformations and output as writing some other tables. I would like to know that this JAR task type can be interpreted as &lt;/P&gt;&lt;PRE&gt;&lt;CODE&gt;spark-submit --class com.xyz --num-executors &lt;/CODE&gt;&lt;/PRE&gt;&lt;P&gt;job? Because I was searching for this sort of entry in the log file , but couldnt find any. How does the JAR task type works in principle, is my actual question? &lt;/P&gt;</description>
      <pubDate>Thu, 12 Jan 2023 12:25:52 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/databricks-jar-task-type-functionality/m-p/12685#M7453</guid>
      <dc:creator>Chanu</dc:creator>
      <dc:date>2023-01-12T12:25:52Z</dc:date>
    </item>
    <item>
      <title>Re: Databricks JAR task type functionality</title>
      <link>https://community.databricks.com/t5/data-engineering/databricks-jar-task-type-functionality/m-p/12684#M7452</link>
      <description>&lt;P&gt;Hi, Could you please go through &lt;A href="https://docs.databricks.com/workflows/jobs/how-to-use-jars-in-workflows.html" target="test_blank"&gt;https://docs.databricks.com/workflows/jobs/how-to-use-jars-in-workflows.html&lt;/A&gt; and let us know if this helps?&lt;/P&gt;</description>
      <pubDate>Wed, 11 Jan 2023 22:17:26 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/databricks-jar-task-type-functionality/m-p/12684#M7452</guid>
      <dc:creator>Debayan</dc:creator>
      <dc:date>2023-01-11T22:17:26Z</dc:date>
    </item>
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