<?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 😑Datafactory insists on Cluster compute BUT Databricks defaults to Serverless compute! in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/datafactory-insists-on-cluster-compute-but-databricks-defaults/m-p/163521#M55144</link>
    <description>&lt;P&gt;Hi all,&lt;/P&gt;&lt;P&gt;#Databricks&lt;/P&gt;&lt;P&gt;#Datafactory&lt;/P&gt;&lt;P&gt;I hope you are well.&lt;/P&gt;&lt;P&gt;I have bullet pointed my situation to allow other community members to easily diagnose my problem (I want to make your lives easy as well!).&lt;/P&gt;&lt;P&gt;I have also included screenshot of data pipeline in DataFactory to make your lives easier as well.&lt;/P&gt;&lt;H2&gt;Background - Data Pipeline&lt;/H2&gt;&lt;P&gt;In DataFactory, I am building a data pipeline with the following steps:&lt;/P&gt;&lt;OL&gt;&lt;LI&gt;Using a Lookup block, the data is looked up from a source local SQL server&lt;/LI&gt;&lt;LI&gt;Using a DataLake block nested within a ForEach block, for each logic is used to iterate through multiple tables contained within the source SQL database and then dump those tables into a DataLake container called Bronze (I want to follow medallion methodology).&lt;/LI&gt;&lt;LI&gt;Using a DataBricks notebook block,&amp;nbsp;the data is then transformed and then moved into a Silver datalake container.&lt;OL&gt;&lt;LI&gt;When configuring the DataBricks linked service, on the Select Cluster drop down, I selected 'Serverless'. This reflects on both DataBricks notebooks blocks.&lt;/LI&gt;&lt;/OL&gt;&lt;/LI&gt;&lt;LI&gt;Using a second DataBricks notebook block,&amp;nbsp;the data is then transformed and then moved into a Gold datalake container.&lt;/LI&gt;&lt;/OL&gt;&lt;P&gt;Below is screenshot of pipeline diagram:&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="datafactory_pipeline-diagram.png" style="width: 400px;"&gt;&lt;img src="https://community.databricks.com/t5/image/serverpage/image-id/29211iB80A7BBDD13CA91E/image-size/medium?v=v2&amp;amp;px=400" role="button" title="datafactory_pipeline-diagram.png" alt="datafactory_pipeline-diagram.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;H2&gt;Issues - DataFactory wants Cluster compute for DataBricks notebook blocks BUT DataBricks doesn't allow me to create a Cluster &lt;span class="lia-unicode-emoji" title=":expressionless_face:"&gt;😑&lt;/span&gt;&lt;/H2&gt;&lt;P&gt;When trying to publish my pipeline in DataFactory, I encounter the below error in Factory validation output:&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="publishing_pipeline_error.png" style="width: 400px;"&gt;&lt;img src="https://community.databricks.com/t5/image/serverpage/image-id/29207iA517BFA7C7C8C09B/image-size/medium?v=v2&amp;amp;px=400" role="button" title="publishing_pipeline_error.png" alt="publishing_pipeline_error.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;When I try to return to DataBricks there is &lt;STRONG&gt;no option to create custom compute clusters&lt;/STRONG&gt;. This was the case even before I even created the notebooks in the first place. On the left side bar, when I click on Compute, it leads me to SQL Warehouses instead. Screenshot below:&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="databricks_compute_SQL-warehouses-redirection.png" style="width: 400px;"&gt;&lt;img src="https://community.databricks.com/t5/image/serverpage/image-id/29210i16093521D8C91A99/image-size/medium?v=v2&amp;amp;px=400" role="button" title="databricks_compute_SQL-warehouses-redirection.png" alt="databricks_compute_SQL-warehouses-redirection.png" /&gt;&lt;/span&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;When creating the notebooks, I continued with the serverless option as that was the only way to process Python code for the transformations.&lt;/P&gt;&lt;P&gt;But now when trying to run the pipeline in datafactory, I am facing the error demanding me to make custom clusters.&lt;/P&gt;&lt;P&gt;Any help would be much appreciated!&lt;/P&gt;&lt;P&gt;Thanks&lt;/P&gt;</description>
    <pubDate>Mon, 20 Jul 2026 14:31:15 GMT</pubDate>
    <dc:creator>Mizan1</dc:creator>
    <dc:date>2026-07-20T14:31:15Z</dc:date>
    <item>
      <title>😑Datafactory insists on Cluster compute BUT Databricks defaults to Serverless compute!</title>
      <link>https://community.databricks.com/t5/data-engineering/datafactory-insists-on-cluster-compute-but-databricks-defaults/m-p/163521#M55144</link>
      <description>&lt;P&gt;Hi all,&lt;/P&gt;&lt;P&gt;#Databricks&lt;/P&gt;&lt;P&gt;#Datafactory&lt;/P&gt;&lt;P&gt;I hope you are well.&lt;/P&gt;&lt;P&gt;I have bullet pointed my situation to allow other community members to easily diagnose my problem (I want to make your lives easy as well!).&lt;/P&gt;&lt;P&gt;I have also included screenshot of data pipeline in DataFactory to make your lives easier as well.&lt;/P&gt;&lt;H2&gt;Background - Data Pipeline&lt;/H2&gt;&lt;P&gt;In DataFactory, I am building a data pipeline with the following steps:&lt;/P&gt;&lt;OL&gt;&lt;LI&gt;Using a Lookup block, the data is looked up from a source local SQL server&lt;/LI&gt;&lt;LI&gt;Using a DataLake block nested within a ForEach block, for each logic is used to iterate through multiple tables contained within the source SQL database and then dump those tables into a DataLake container called Bronze (I want to follow medallion methodology).&lt;/LI&gt;&lt;LI&gt;Using a DataBricks notebook block,&amp;nbsp;the data is then transformed and then moved into a Silver datalake container.&lt;OL&gt;&lt;LI&gt;When configuring the DataBricks linked service, on the Select Cluster drop down, I selected 'Serverless'. This reflects on both DataBricks notebooks blocks.&lt;/LI&gt;&lt;/OL&gt;&lt;/LI&gt;&lt;LI&gt;Using a second DataBricks notebook block,&amp;nbsp;the data is then transformed and then moved into a Gold datalake container.&lt;/LI&gt;&lt;/OL&gt;&lt;P&gt;Below is screenshot of pipeline diagram:&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="datafactory_pipeline-diagram.png" style="width: 400px;"&gt;&lt;img src="https://community.databricks.com/t5/image/serverpage/image-id/29211iB80A7BBDD13CA91E/image-size/medium?v=v2&amp;amp;px=400" role="button" title="datafactory_pipeline-diagram.png" alt="datafactory_pipeline-diagram.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;H2&gt;Issues - DataFactory wants Cluster compute for DataBricks notebook blocks BUT DataBricks doesn't allow me to create a Cluster &lt;span class="lia-unicode-emoji" title=":expressionless_face:"&gt;😑&lt;/span&gt;&lt;/H2&gt;&lt;P&gt;When trying to publish my pipeline in DataFactory, I encounter the below error in Factory validation output:&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="publishing_pipeline_error.png" style="width: 400px;"&gt;&lt;img src="https://community.databricks.com/t5/image/serverpage/image-id/29207iA517BFA7C7C8C09B/image-size/medium?v=v2&amp;amp;px=400" role="button" title="publishing_pipeline_error.png" alt="publishing_pipeline_error.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;When I try to return to DataBricks there is &lt;STRONG&gt;no option to create custom compute clusters&lt;/STRONG&gt;. This was the case even before I even created the notebooks in the first place. On the left side bar, when I click on Compute, it leads me to SQL Warehouses instead. Screenshot below:&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="databricks_compute_SQL-warehouses-redirection.png" style="width: 400px;"&gt;&lt;img src="https://community.databricks.com/t5/image/serverpage/image-id/29210i16093521D8C91A99/image-size/medium?v=v2&amp;amp;px=400" role="button" title="databricks_compute_SQL-warehouses-redirection.png" alt="databricks_compute_SQL-warehouses-redirection.png" /&gt;&lt;/span&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;When creating the notebooks, I continued with the serverless option as that was the only way to process Python code for the transformations.&lt;/P&gt;&lt;P&gt;But now when trying to run the pipeline in datafactory, I am facing the error demanding me to make custom clusters.&lt;/P&gt;&lt;P&gt;Any help would be much appreciated!&lt;/P&gt;&lt;P&gt;Thanks&lt;/P&gt;</description>
      <pubDate>Mon, 20 Jul 2026 14:31:15 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/datafactory-insists-on-cluster-compute-but-databricks-defaults/m-p/163521#M55144</guid>
      <dc:creator>Mizan1</dc:creator>
      <dc:date>2026-07-20T14:31:15Z</dc:date>
    </item>
    <item>
      <title>Re: 😑Datafactory insists on Cluster compute BUT Databricks defaults to Serverless compute!</title>
      <link>https://community.databricks.com/t5/data-engineering/datafactory-insists-on-cluster-compute-but-databricks-defaults/m-p/163527#M55147</link>
      <description>&lt;P&gt;The reason you are only seeing SQL Warehouses when clicking Compute is likely because the workspace admin has locked down interactive cluster creation. Check if you have the cluster creation&amp;nbsp;entitlement. Your workspace admin can grant you the correct permissions.&lt;/P&gt;&lt;P&gt;You can follow below&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;&lt;U&gt;&lt;STRONG&gt;Job Cluster&lt;/STRONG&gt;&lt;/U&gt; - You can use a "&lt;STRONG&gt;New job cluster&lt;/STRONG&gt;" instead of selecting an existing interactive cluster or attempting to pass Serverless. When you add the notebook activity in ADF, setting it to create a new job cluster spins up ephemeral compute specifically for that run and terminates it immediately after. This mimics the cost-efficiency of serverless while remaining fully compatible with ADF's legacy notebook integration.&lt;/LI&gt;&lt;LI&gt;&lt;U&gt;&lt;STRONG&gt;Databricks Lakeflow Jobs&lt;/STRONG&gt;&lt;/U&gt; - You can shift to &lt;STRONG&gt;Lakeflow jobs&lt;/STRONG&gt; instead of having ADF orchestrate the individual notebooks. Databricks &lt;STRONG&gt;Jobs&lt;/STRONG&gt; natively support Serverless compute. Once created, simply replace the ADF Notebook activities (bronze, silver notebooks etc) with a single ADF &lt;STRONG&gt;Databricks activity to trigger that Job&lt;/STRONG&gt;. This routes the execution through the native Databricks plane while keeping the ADF pipeline clean.&lt;/LI&gt;&lt;/UL&gt;</description>
      <pubDate>Mon, 20 Jul 2026 14:51:37 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/datafactory-insists-on-cluster-compute-but-databricks-defaults/m-p/163527#M55147</guid>
      <dc:creator>balajij8</dc:creator>
      <dc:date>2026-07-20T14:51:37Z</dc:date>
    </item>
    <item>
      <title>Re: 😑Datafactory insists on Cluster compute BUT Databricks defaults to Serverless compute!</title>
      <link>https://community.databricks.com/t5/data-engineering/datafactory-insists-on-cluster-compute-but-databricks-defaults/m-p/163642#M55165</link>
      <description>&lt;P&gt;Thank you for this. with your first solution, Datafactory returned an error saying that custom compute clusters is required for the notebook block to run.&lt;/P&gt;&lt;P&gt;As to the second solution, I didn't get round to trying that.&lt;/P&gt;&lt;P&gt;However, I found the solution to my issue where I had to recreate another workspace with Hybrid option enabled and not Serverless. This allowed me access to custom cluster creation.&lt;/P&gt;&lt;P&gt;Screenshot of workspace creation stage:&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Screenshot 2026-07-21 190947.png" style="width: 400px;"&gt;&lt;img src="https://community.databricks.com/t5/image/serverpage/image-id/29260iA649B2BB47364444/image-size/medium?v=v2&amp;amp;px=400" role="button" title="Screenshot 2026-07-21 190947.png" alt="Screenshot 2026-07-21 190947.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;Screenshot of successful access to cluster compute:&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Screenshot 2026-07-21 191509.png" style="width: 400px;"&gt;&lt;img src="https://community.databricks.com/t5/image/serverpage/image-id/29261iC0A3A70BC047A942/image-size/medium?v=v2&amp;amp;px=400" role="button" title="Screenshot 2026-07-21 191509.png" alt="Screenshot 2026-07-21 191509.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;I found solution from here:&amp;nbsp;&lt;A href="https://community.databricks.com/t5/data-engineering/cannot-click-compute-tab/m-p/156137/highlight/true#M54365" target="_blank"&gt;Re: Cannot click Compute tab - Databricks Community - 113970&lt;/A&gt;&lt;/P&gt;&lt;P&gt;Thank you for your time&lt;/P&gt;</description>
      <pubDate>Tue, 21 Jul 2026 18:28:30 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/datafactory-insists-on-cluster-compute-but-databricks-defaults/m-p/163642#M55165</guid>
      <dc:creator>Mizan1</dc:creator>
      <dc:date>2026-07-21T18:28:30Z</dc:date>
    </item>
  </channel>
</rss>

