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    <title>topic Re: Unity Catalog Pandas on Spark  Limitation in Administration &amp; Architecture</title>
    <link>https://community.databricks.com/t5/administration-architecture/unity-catalog-pandas-on-spark-limitation/m-p/76522#M1330</link>
    <description>&lt;P&gt;&lt;a href="https://community.databricks.com/t5/user/viewprofilepage/user-id/62486"&gt;@RamlaSuhra&lt;/a&gt;, UDFs on Unity Catalog is a feature that, at the current moment is still on the Public Preview stage. This means that the development has yet not finished.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;UDFs can be used on DBR 13.3 and above, UDAFs are already available for DBR 15.2 on Graviton clusters. UDTFs are still under development.&amp;nbsp;&lt;BR /&gt;&lt;BR /&gt;A shared cluster architecture differs extensively from the single-user cluster, and I would say it's way more complicated, that's why it takes more time to receive some features.&lt;/P&gt;</description>
    <pubDate>Tue, 02 Jul 2024 14:26:23 GMT</pubDate>
    <dc:creator>raphaelblg</dc:creator>
    <dc:date>2024-07-02T14:26:23Z</dc:date>
    <item>
      <title>Unity Catalog Pandas on Spark  Limitation</title>
      <link>https://community.databricks.com/t5/administration-architecture/unity-catalog-pandas-on-spark-limitation/m-p/76115#M1319</link>
      <description>&lt;P&gt;According to Databricks UC Documentation, below are the some of the limitations on Shared Mode Cluster.&lt;/P&gt;&lt;P&gt;1. In Databricks Runtime 13.3 LTS and above, Python scalar UDFs and Pandas UDFs are supported. Other Python UDFs, including UDAFs, UDTFs, and Pandas on Spark are not supported.&lt;/P&gt;&lt;P&gt;Why is&amp;nbsp;Pandas on Spark not supported in "Shared" Access mode clusters when they are UC enabled?&lt;/P&gt;&lt;P&gt;Is there a feature getting added to support this soon?&lt;/P&gt;</description>
      <pubDate>Fri, 28 Jun 2024 17:49:30 GMT</pubDate>
      <guid>https://community.databricks.com/t5/administration-architecture/unity-catalog-pandas-on-spark-limitation/m-p/76115#M1319</guid>
      <dc:creator>RamlaSuhra</dc:creator>
      <dc:date>2024-06-28T17:49:30Z</dc:date>
    </item>
    <item>
      <title>Re: Unity Catalog Pandas on Spark  Limitation</title>
      <link>https://community.databricks.com/t5/administration-architecture/unity-catalog-pandas-on-spark-limitation/m-p/76522#M1330</link>
      <description>&lt;P&gt;&lt;a href="https://community.databricks.com/t5/user/viewprofilepage/user-id/62486"&gt;@RamlaSuhra&lt;/a&gt;, UDFs on Unity Catalog is a feature that, at the current moment is still on the Public Preview stage. This means that the development has yet not finished.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;UDFs can be used on DBR 13.3 and above, UDAFs are already available for DBR 15.2 on Graviton clusters. UDTFs are still under development.&amp;nbsp;&lt;BR /&gt;&lt;BR /&gt;A shared cluster architecture differs extensively from the single-user cluster, and I would say it's way more complicated, that's why it takes more time to receive some features.&lt;/P&gt;</description>
      <pubDate>Tue, 02 Jul 2024 14:26:23 GMT</pubDate>
      <guid>https://community.databricks.com/t5/administration-architecture/unity-catalog-pandas-on-spark-limitation/m-p/76522#M1330</guid>
      <dc:creator>raphaelblg</dc:creator>
      <dc:date>2024-07-02T14:26:23Z</dc:date>
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