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    <title>topic Re: merge vs MERGE INTO in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/merge-vs-merge-into/m-p/3837#M743</link>
    <description>&lt;P&gt;Hi @Roshan RC​&amp;nbsp;,&lt;/P&gt;&lt;P&gt;​&lt;/P&gt;&lt;P&gt;There is no difference between both as the internal physical plan will be the same for both of the codes.&lt;/P&gt;&lt;P&gt;&amp;nbsp;#DAIS2023​&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Wed, 31 May 2023 12:25:32 GMT</pubDate>
    <dc:creator>Ajay-Pandey</dc:creator>
    <dc:date>2023-05-31T12:25:32Z</dc:date>
    <item>
      <title>merge vs MERGE INTO</title>
      <link>https://community.databricks.com/t5/data-engineering/merge-vs-merge-into/m-p/3836#M742</link>
      <description>&lt;P&gt;from 10.4 LTS version we have low shuffle merge, so merge is more faster. But what about MERGE INTO function that we run in sql notebook of databricks. &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Is there any performance difference when we use databrciks pyspark ".merge" function vs databricks sql "MERGE INTO" function. And does both have "low shuffle merge"&lt;/P&gt;</description>
      <pubDate>Wed, 31 May 2023 07:47:59 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/merge-vs-merge-into/m-p/3836#M742</guid>
      <dc:creator>ros</dc:creator>
      <dc:date>2023-05-31T07:47:59Z</dc:date>
    </item>
    <item>
      <title>Re: merge vs MERGE INTO</title>
      <link>https://community.databricks.com/t5/data-engineering/merge-vs-merge-into/m-p/3837#M743</link>
      <description>&lt;P&gt;Hi @Roshan RC​&amp;nbsp;,&lt;/P&gt;&lt;P&gt;​&lt;/P&gt;&lt;P&gt;There is no difference between both as the internal physical plan will be the same for both of the codes.&lt;/P&gt;&lt;P&gt;&amp;nbsp;#DAIS2023​&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 31 May 2023 12:25:32 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/merge-vs-merge-into/m-p/3837#M743</guid>
      <dc:creator>Ajay-Pandey</dc:creator>
      <dc:date>2023-05-31T12:25:32Z</dc:date>
    </item>
    <item>
      <title>Re: merge vs MERGE INTO</title>
      <link>https://community.databricks.com/t5/data-engineering/merge-vs-merge-into/m-p/3838#M744</link>
      <description>&lt;P&gt;Hi @Roshan RC​&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thank you for posting your question in our community! We are happy to assist you.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;To help us provide you with the most accurate information, could you please take a moment to review the responses and select the one that best answers your question?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;This will also help other community members who may have similar questions in the future. Thank you for your participation and let us know if you need any further assistance!&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;</description>
      <pubDate>Thu, 01 Jun 2023 07:10:35 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/merge-vs-merge-into/m-p/3838#M744</guid>
      <dc:creator>Anonymous</dc:creator>
      <dc:date>2023-06-01T07:10:35Z</dc:date>
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