<?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: Does Spark Structured Streaming  supports `OutputMode.Update` for Delta tables? in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/does-spark-structured-streaming-supports-outputmode-update-for/m-p/25864#M18059</link>
    <description>&lt;P&gt;Nope, it's not supported, but you could use a MERGE statement inside of a forEachBatch streaming sync &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Documentation on MERGE&lt;/P&gt;&lt;P&gt;&lt;A href="https://docs.databricks.com/spark/latest/spark-sql/language-manual/delta-merge-into.html" target="test_blank"&gt;https://docs.databricks.com/spark/latest/spark-sql/language-manual/delta-merge-into.html&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Documentation for arbitrary streaming sinks &lt;/P&gt;&lt;P&gt;&lt;A href="https://docs.databricks.com/spark/latest/structured-streaming/foreach.html" target="test_blank"&gt;https://docs.databricks.com/spark/latest/structured-streaming/foreach.html&lt;/A&gt;&lt;/P&gt;</description>
    <pubDate>Mon, 07 Jun 2021 18:11:04 GMT</pubDate>
    <dc:creator>ruslan</dc:creator>
    <dc:date>2021-06-07T18:11:04Z</dc:date>
    <item>
      <title>Does Spark Structured Streaming  supports `OutputMode.Update` for Delta tables?</title>
      <link>https://community.databricks.com/t5/data-engineering/does-spark-structured-streaming-supports-outputmode-update-for/m-p/25863#M18058</link>
      <description>&lt;P&gt;Does Spark Structured Streaming&amp;nbsp;supports `OutputMode.Update` for Delta tables?&lt;/P&gt;</description>
      <pubDate>Mon, 07 Jun 2021 18:09:37 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/does-spark-structured-streaming-supports-outputmode-update-for/m-p/25863#M18058</guid>
      <dc:creator>ruslan</dc:creator>
      <dc:date>2021-06-07T18:09:37Z</dc:date>
    </item>
    <item>
      <title>Re: Does Spark Structured Streaming  supports `OutputMode.Update` for Delta tables?</title>
      <link>https://community.databricks.com/t5/data-engineering/does-spark-structured-streaming-supports-outputmode-update-for/m-p/25864#M18059</link>
      <description>&lt;P&gt;Nope, it's not supported, but you could use a MERGE statement inside of a forEachBatch streaming sync &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Documentation on MERGE&lt;/P&gt;&lt;P&gt;&lt;A href="https://docs.databricks.com/spark/latest/spark-sql/language-manual/delta-merge-into.html" target="test_blank"&gt;https://docs.databricks.com/spark/latest/spark-sql/language-manual/delta-merge-into.html&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Documentation for arbitrary streaming sinks &lt;/P&gt;&lt;P&gt;&lt;A href="https://docs.databricks.com/spark/latest/structured-streaming/foreach.html" target="test_blank"&gt;https://docs.databricks.com/spark/latest/structured-streaming/foreach.html&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Mon, 07 Jun 2021 18:11:04 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/does-spark-structured-streaming-supports-outputmode-update-for/m-p/25864#M18059</guid>
      <dc:creator>ruslan</dc:creator>
      <dc:date>2021-06-07T18:11:04Z</dc:date>
    </item>
  </channel>
</rss>

