<?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 Re: How to use SQL UDFs for Delta Live Table pipelines? in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/how-to-use-sql-udfs-for-delta-live-table-pipelines/m-p/11323#M6313</link>
    <description>&lt;P&gt;Thanks! It wasn't initially clear to me exactly how to actually link separate notebooks in a DLT pipeline. I assume SQL UDF works as well with that same setup? The current transformations are not as complex - just needed to shorten them for reusability.&lt;/P&gt;</description>
    <pubDate>Thu, 19 Jan 2023 22:06:19 GMT</pubDate>
    <dc:creator>Gim</dc:creator>
    <dc:date>2023-01-19T22:06:19Z</dc:date>
    <item>
      <title>How to use SQL UDFs for Delta Live Table pipelines?</title>
      <link>https://community.databricks.com/t5/data-engineering/how-to-use-sql-udfs-for-delta-live-table-pipelines/m-p/11321#M6311</link>
      <description>&lt;P&gt;I've been searching for a way to use a SQL UDF for our DLT pipeline. In this case it is to convert a time duration string into INT seconds. How exactly do we use/apply UDFs in this case?&lt;/P&gt;</description>
      <pubDate>Wed, 18 Jan 2023 14:31:02 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/how-to-use-sql-udfs-for-delta-live-table-pipelines/m-p/11321#M6311</guid>
      <dc:creator>Gim</dc:creator>
      <dc:date>2023-01-18T14:31:02Z</dc:date>
    </item>
    <item>
      <title>Re: How to use SQL UDFs for Delta Live Table pipelines?</title>
      <link>https://community.databricks.com/t5/data-engineering/how-to-use-sql-udfs-for-delta-live-table-pipelines/m-p/11322#M6312</link>
      <description>&lt;P&gt;@Gim&lt;/P&gt;&lt;P&gt;You can create Python UDF and then use it in SQL.&lt;/P&gt;&lt;P&gt;&lt;A href="https://docs.databricks.com/workflows/delta-live-tables/delta-live-tables-cookbook.html#use-python-udfs-in-sql" target="test_blank"&gt;https://docs.databricks.com/workflows/delta-live-tables/delta-live-tables-cookbook.html#use-python-udfs-in-sql&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Thu, 19 Jan 2023 07:02:15 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/how-to-use-sql-udfs-for-delta-live-table-pipelines/m-p/11322#M6312</guid>
      <dc:creator>daniel_sahal</dc:creator>
      <dc:date>2023-01-19T07:02:15Z</dc:date>
    </item>
    <item>
      <title>Re: How to use SQL UDFs for Delta Live Table pipelines?</title>
      <link>https://community.databricks.com/t5/data-engineering/how-to-use-sql-udfs-for-delta-live-table-pipelines/m-p/11323#M6313</link>
      <description>&lt;P&gt;Thanks! It wasn't initially clear to me exactly how to actually link separate notebooks in a DLT pipeline. I assume SQL UDF works as well with that same setup? The current transformations are not as complex - just needed to shorten them for reusability.&lt;/P&gt;</description>
      <pubDate>Thu, 19 Jan 2023 22:06:19 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/how-to-use-sql-udfs-for-delta-live-table-pipelines/m-p/11323#M6313</guid>
      <dc:creator>Gim</dc:creator>
      <dc:date>2023-01-19T22:06:19Z</dc:date>
    </item>
  </channel>
</rss>

