<?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 Can I have multiple queries in a pipeline writing to the same target table? in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/can-i-have-multiple-queries-in-a-pipeline-writing-to-the-same/m-p/18598#M12371</link>
    <description />
    <pubDate>Fri, 25 Jun 2021 22:06:13 GMT</pubDate>
    <dc:creator>Ryan_Chynoweth</dc:creator>
    <dc:date>2021-06-25T22:06:13Z</dc:date>
    <item>
      <title>Can I have multiple queries in a pipeline writing to the same target table?</title>
      <link>https://community.databricks.com/t5/data-engineering/can-i-have-multiple-queries-in-a-pipeline-writing-to-the-same/m-p/18598#M12371</link>
      <description />
      <pubDate>Fri, 25 Jun 2021 22:06:13 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/can-i-have-multiple-queries-in-a-pipeline-writing-to-the-same/m-p/18598#M12371</guid>
      <dc:creator>Ryan_Chynoweth</dc:creator>
      <dc:date>2021-06-25T22:06:13Z</dc:date>
    </item>
    <item>
      <title>Re: Can I have multiple queries in a pipeline writing to the same target table?</title>
      <link>https://community.databricks.com/t5/data-engineering/can-i-have-multiple-queries-in-a-pipeline-writing-to-the-same/m-p/18599#M12372</link>
      <description>&lt;P&gt;No, each table must be defined once. You can Use&amp;nbsp;&lt;A href="https://docs.databricks.com/spark/latest/spark-sql/language-manual/sql-ref-syntax-qry-select-setops.html#union" alt="https://docs.databricks.com/spark/latest/spark-sql/language-manual/sql-ref-syntax-qry-select-setops.html#union" target="_blank"&gt;UNION&lt;/A&gt;&amp;nbsp;If you need to combine multiple inputs to create a table. Adding or removing UNION from an incremental table is a breaking operation that requires a full-refresh.&lt;/P&gt;</description>
      <pubDate>Fri, 25 Jun 2021 22:06:35 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/can-i-have-multiple-queries-in-a-pipeline-writing-to-the-same/m-p/18599#M12372</guid>
      <dc:creator>Ryan_Chynoweth</dc:creator>
      <dc:date>2021-06-25T22:06:35Z</dc:date>
    </item>
  </channel>
</rss>

