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    <title>topic Re: Change cluster mid-pipeline in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/change-cluster-mid-pipeline/m-p/21703#M14832</link>
    <description>&lt;P&gt;Yes, you can achieve this by setting two different job clusters. In the screenshot, you can see I have used 2 job clusters PipelineTest and pipelinetest2. You can refer the doc &lt;A href="https://docs.databricks.com/jobs.html#cluster-config-tips" target="test_blank"&gt;https://docs.databricks.com/jobs.html#cluster-config-tips&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper" image-alt="image"&gt;&lt;img src="https://community.databricks.com/t5/image/serverpage/image-id/1901i18E6EA209E0ECA65/image-size/large?v=v2&amp;amp;px=999" role="button" title="image" alt="image" /&gt;&lt;/span&gt;&lt;/P&gt;</description>
    <pubDate>Mon, 02 May 2022 21:13:25 GMT</pubDate>
    <dc:creator>Prabakar</dc:creator>
    <dc:date>2022-05-02T21:13:25Z</dc:date>
    <item>
      <title>Change cluster mid-pipeline</title>
      <link>https://community.databricks.com/t5/data-engineering/change-cluster-mid-pipeline/m-p/21701#M14830</link>
      <description>&lt;P&gt;I have a notebook functioning as a pipeline, where multiple notebooks are chained together.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt; The issue I'm facing is that some of the notebooks are spark-optimized, others aren't, and what I want is to use 1 cluster for the former and another for the latter. However, this would mean changing clusters halfway through the pipeline notebook. Is that possible? And if so, how?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;</description>
      <pubDate>Mon, 02 May 2022 09:08:14 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/change-cluster-mid-pipeline/m-p/21701#M14830</guid>
      <dc:creator>niels</dc:creator>
      <dc:date>2022-05-02T09:08:14Z</dc:date>
    </item>
    <item>
      <title>Re: Change cluster mid-pipeline</title>
      <link>https://community.databricks.com/t5/data-engineering/change-cluster-mid-pipeline/m-p/21702#M14831</link>
      <description>&lt;P&gt;In such a case, orchestrating those jobs using Azure Data Factory is highly recommended.&lt;/P&gt;</description>
      <pubDate>Mon, 02 May 2022 09:11:17 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/change-cluster-mid-pipeline/m-p/21702#M14831</guid>
      <dc:creator>Hubert-Dudek</dc:creator>
      <dc:date>2022-05-02T09:11:17Z</dc:date>
    </item>
    <item>
      <title>Re: Change cluster mid-pipeline</title>
      <link>https://community.databricks.com/t5/data-engineering/change-cluster-mid-pipeline/m-p/21703#M14832</link>
      <description>&lt;P&gt;Yes, you can achieve this by setting two different job clusters. In the screenshot, you can see I have used 2 job clusters PipelineTest and pipelinetest2. You can refer the doc &lt;A href="https://docs.databricks.com/jobs.html#cluster-config-tips" target="test_blank"&gt;https://docs.databricks.com/jobs.html#cluster-config-tips&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper" image-alt="image"&gt;&lt;img src="https://community.databricks.com/t5/image/serverpage/image-id/1901i18E6EA209E0ECA65/image-size/large?v=v2&amp;amp;px=999" role="button" title="image" alt="image" /&gt;&lt;/span&gt;&lt;/P&gt;</description>
      <pubDate>Mon, 02 May 2022 21:13:25 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/change-cluster-mid-pipeline/m-p/21703#M14832</guid>
      <dc:creator>Prabakar</dc:creator>
      <dc:date>2022-05-02T21:13:25Z</dc:date>
    </item>
    <item>
      <title>Re: Change cluster mid-pipeline</title>
      <link>https://community.databricks.com/t5/data-engineering/change-cluster-mid-pipeline/m-p/21706#M14835</link>
      <description>&lt;P&gt;Hi Kaniz, sorry for the incredibly late reply. My notifications for responses ended up in my spam folder! &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I ended up using ADF, but tried @Prabakar Ammeappin​&amp;nbsp;'s solution and that worked too! &lt;/P&gt;</description>
      <pubDate>Tue, 26 Jul 2022 08:28:41 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/change-cluster-mid-pipeline/m-p/21706#M14835</guid>
      <dc:creator>niels</dc:creator>
      <dc:date>2022-07-26T08:28:41Z</dc:date>
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