<?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 How to use DLT Expectations for uniqueness checks on a dataset? in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/how-to-use-dlt-expectations-for-uniqueness-checks-on-a-dataset/m-p/83150#M36854</link>
    <description>&lt;P&gt;I am using dlt through python to build a DLT pipeline. One of things I would like to do is to check that each incoming row does not exist in the target table; i want to be sure that each row is unique.&lt;/P&gt;&lt;P&gt;I am confused because it seems like this is not possible through dlt expect. I am under the impression that each expectation works on row-level, not on a table-level. Morever I am not seeing anything about uniqueness constraints and am reading that PKs are not enforced. So, is this possible?&lt;/P&gt;&lt;P&gt;#dlt #expect&lt;/P&gt;</description>
    <pubDate>Thu, 15 Aug 2024 23:58:18 GMT</pubDate>
    <dc:creator>Zeruno</dc:creator>
    <dc:date>2024-08-15T23:58:18Z</dc:date>
    <item>
      <title>How to use DLT Expectations for uniqueness checks on a dataset?</title>
      <link>https://community.databricks.com/t5/data-engineering/how-to-use-dlt-expectations-for-uniqueness-checks-on-a-dataset/m-p/83150#M36854</link>
      <description>&lt;P&gt;I am using dlt through python to build a DLT pipeline. One of things I would like to do is to check that each incoming row does not exist in the target table; i want to be sure that each row is unique.&lt;/P&gt;&lt;P&gt;I am confused because it seems like this is not possible through dlt expect. I am under the impression that each expectation works on row-level, not on a table-level. Morever I am not seeing anything about uniqueness constraints and am reading that PKs are not enforced. So, is this possible?&lt;/P&gt;&lt;P&gt;#dlt #expect&lt;/P&gt;</description>
      <pubDate>Thu, 15 Aug 2024 23:58:18 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/how-to-use-dlt-expectations-for-uniqueness-checks-on-a-dataset/m-p/83150#M36854</guid>
      <dc:creator>Zeruno</dc:creator>
      <dc:date>2024-08-15T23:58:18Z</dc:date>
    </item>
    <item>
      <title>Re: How to use DLT Expectations for uniqueness checks on a dataset?</title>
      <link>https://community.databricks.com/t5/data-engineering/how-to-use-dlt-expectations-for-uniqueness-checks-on-a-dataset/m-p/99346#M39978</link>
      <description>&lt;P&gt;I also have the same doubt, about the implementation of the uniqueness rule&lt;/P&gt;</description>
      <pubDate>Tue, 19 Nov 2024 14:55:09 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/how-to-use-dlt-expectations-for-uniqueness-checks-on-a-dataset/m-p/99346#M39978</guid>
      <dc:creator>Mauro</dc:creator>
      <dc:date>2024-11-19T14:55:09Z</dc:date>
    </item>
  </channel>
</rss>

