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    <title>topic broadcasted table reuse in Get Started Discussions</title>
    <link>https://community.databricks.com/t5/get-started-discussions/broadcasted-table-reuse/m-p/64780#M6887</link>
    <description>&lt;H2&gt;in spark, table1 is small and broadcasted and joined with table 2. output is stored in df1. again, table1 is required to join with table3 and output need to be stored in df2. do it need to be broadcasted again?&lt;/H2&gt;</description>
    <pubDate>Wed, 27 Mar 2024 10:00:43 GMT</pubDate>
    <dc:creator>tajinder123</dc:creator>
    <dc:date>2024-03-27T10:00:43Z</dc:date>
    <item>
      <title>broadcasted table reuse</title>
      <link>https://community.databricks.com/t5/get-started-discussions/broadcasted-table-reuse/m-p/64780#M6887</link>
      <description>&lt;H2&gt;in spark, table1 is small and broadcasted and joined with table 2. output is stored in df1. again, table1 is required to join with table3 and output need to be stored in df2. do it need to be broadcasted again?&lt;/H2&gt;</description>
      <pubDate>Wed, 27 Mar 2024 10:00:43 GMT</pubDate>
      <guid>https://community.databricks.com/t5/get-started-discussions/broadcasted-table-reuse/m-p/64780#M6887</guid>
      <dc:creator>tajinder123</dc:creator>
      <dc:date>2024-03-27T10:00:43Z</dc:date>
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