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    <title>topic Re: Best practice to substitute udf scalar value functions in Data Warehouse</title>
    <link>https://community.fabric.microsoft.com/t5/Data-Warehouse/Best-practice-to-substitute-udf-scalar-value-functions/m-p/3491957#M532</link>
    <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="javascript:void(0)" data-lia-user-mentions="" data-lia-user-uid="619206" data-lia-user-login="MaxBronder" class="lia-mention lia-mention-user"&gt;MaxBronder&lt;/a&gt;&amp;nbsp;,&lt;/P&gt;
&lt;P&gt;Glad that your query got resolved. Please continue using Fabric Community for any help regarding your queries.&lt;/P&gt;</description>
    <pubDate>Mon, 23 Oct 2023 17:08:58 GMT</pubDate>
    <dc:creator>Anonymous</dc:creator>
    <dc:date>2023-10-23T17:08:58Z</dc:date>
    <item>
      <title>Best practice to substitute udf scalar value functions</title>
      <link>https://community.fabric.microsoft.com/t5/Data-Warehouse/Best-practice-to-substitute-udf-scalar-value-functions/m-p/3485548#M529</link>
      <description>&lt;P&gt;In our current onprem data warehouse we have many scalar value functions with complex physics calculations.&lt;/P&gt;&lt;P&gt;Because scalar value functions are not supported I'm wondering what is the best practice now to substitute them.&lt;/P&gt;&lt;P&gt;Converting them to a multi statement tvf could be a solution, but they are also not supported.&lt;/P&gt;&lt;P&gt;Is this limitation only for preview or will there still be no support for Scalar and Mulit tvfs by the date of GA?&lt;/P&gt;&lt;P&gt;And if so, what would you recommend on how the replicate this functionality?&lt;/P&gt;&lt;P&gt;KR&lt;/P&gt;</description>
      <pubDate>Thu, 19 Oct 2023 12:28:05 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Data-Warehouse/Best-practice-to-substitute-udf-scalar-value-functions/m-p/3485548#M529</guid>
      <dc:creator>MaxBronder</dc:creator>
      <dc:date>2023-10-19T12:28:05Z</dc:date>
    </item>
    <item>
      <title>Re: Best practice to substitute udf scalar value functions</title>
      <link>https://community.fabric.microsoft.com/t5/Data-Warehouse/Best-practice-to-substitute-udf-scalar-value-functions/m-p/3487425#M530</link>
      <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="javascript:void(0)" data-lia-user-mentions="" data-lia-user-uid="619206" data-lia-user-login="MaxBronder" class="lia-mention lia-mention-user"&gt;MaxBronder&lt;/a&gt;&amp;nbsp;&amp;nbsp;,&lt;BR /&gt;Thanks for using Fabric Community.&lt;/P&gt;
&lt;P&gt;A quick suggestion is to use Python to implement those Physics calculations. A notebook can be used to&lt;/P&gt;
&lt;UL&gt;
&lt;LI&gt;&lt;SPAN&gt;&lt;SPAN class=""&gt;Read the source table(s) ( from Lakehouse &amp;nbsp;or Warehouse).&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI&gt;Compute the functions as needed.&lt;/LI&gt;
&lt;LI&gt;Save the results in a lakehouse, together with a row identifier.&lt;/LI&gt;
&lt;LI&gt;After that, SQL queries can join the original data with the newly created Lakehouse table and collect the results.
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;/LI&gt;
&lt;/UL&gt;
&lt;P&gt;The support for scalar UDF or TVF is not in Fabric warehouse general availability scope. Scalar UDF is on our radar for post-general availability planning. We don't have a specific ETA to share at this moment.&lt;BR /&gt;&lt;BR /&gt;&lt;SPAN&gt;Appreciate if you could share the feedback on our&amp;nbsp;&lt;A href="https://ideas.fabric.microsoft.com/" target="_self" rel="nofollow noopener noreferrer"&gt;feedback channel&lt;/A&gt;.&lt;/SPAN&gt;&lt;SPAN&gt;&amp;nbsp;Which would be open for the user community to upvote &amp;amp; comment on. This allows our product teams to effectively prioritize your request against our existing feature backlog and gives insight into the potential impact of implementing the suggested feature.&lt;BR /&gt;&lt;BR /&gt;&lt;/SPAN&gt;Hope this helps. Please let me know if you have any further queries.&lt;/P&gt;</description>
      <pubDate>Fri, 20 Oct 2023 16:29:33 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Data-Warehouse/Best-practice-to-substitute-udf-scalar-value-functions/m-p/3487425#M530</guid>
      <dc:creator>Anonymous</dc:creator>
      <dc:date>2023-10-20T16:29:33Z</dc:date>
    </item>
    <item>
      <title>Re: Best practice to substitute udf scalar value functions</title>
      <link>https://community.fabric.microsoft.com/t5/Data-Warehouse/Best-practice-to-substitute-udf-scalar-value-functions/m-p/3491005#M531</link>
      <description>&lt;P&gt;&lt;SPAN&gt;Hi&amp;nbsp;&lt;a href="javascript:void(0)" data-lia-user-mentions="" data-lia-user-uid="619206" data-lia-user-login="MaxBronder" class="lia-mention lia-mention-user"&gt;MaxBronder&lt;/a&gt;&amp;nbsp;,&lt;/SPAN&gt;&lt;BR /&gt;&lt;SPAN&gt;We haven’t heard from you on the last response and was just checking back to see if your query has been resolved. Please let us know if you have any further queries.&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Mon, 23 Oct 2023 09:49:27 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Data-Warehouse/Best-practice-to-substitute-udf-scalar-value-functions/m-p/3491005#M531</guid>
      <dc:creator>Anonymous</dc:creator>
      <dc:date>2023-10-23T09:49:27Z</dc:date>
    </item>
    <item>
      <title>Re: Best practice to substitute udf scalar value functions</title>
      <link>https://community.fabric.microsoft.com/t5/Data-Warehouse/Best-practice-to-substitute-udf-scalar-value-functions/m-p/3491957#M532</link>
      <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="javascript:void(0)" data-lia-user-mentions="" data-lia-user-uid="619206" data-lia-user-login="MaxBronder" class="lia-mention lia-mention-user"&gt;MaxBronder&lt;/a&gt;&amp;nbsp;,&lt;/P&gt;
&lt;P&gt;Glad that your query got resolved. Please continue using Fabric Community for any help regarding your queries.&lt;/P&gt;</description>
      <pubDate>Mon, 23 Oct 2023 17:08:58 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Data-Warehouse/Best-practice-to-substitute-udf-scalar-value-functions/m-p/3491957#M532</guid>
      <dc:creator>Anonymous</dc:creator>
      <dc:date>2023-10-23T17:08:58Z</dc:date>
    </item>
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