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    <title>topic DLT streaming table and LEFT JOIN in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/dlt-streaming-table-and-left-join/m-p/18438#M12237</link>
    <description>&lt;P&gt;I'm trying to build gold level streaming live table based on two streaming silver live tables with&lt;I&gt; left join&lt;/I&gt;.&lt;/P&gt;&lt;P&gt;This attempt fails with the next error:&lt;/P&gt;&lt;P&gt;&lt;I&gt;"Append mode error: Stream-stream LeftOuter join between two streaming DataFrame/Datasets is not supported without a watermark in the join keys, or a watermark on the nullable side and an appropriate range condition"&lt;/I&gt;.&lt;/P&gt;&lt;P&gt;My question is how I can implement the watermark with SQL interface? Where can I find examples?&lt;/P&gt;&lt;P&gt;Thanks.&lt;/P&gt;</description>
    <pubDate>Tue, 07 Jun 2022 16:16:24 GMT</pubDate>
    <dc:creator>Daba</dc:creator>
    <dc:date>2022-06-07T16:16:24Z</dc:date>
    <item>
      <title>DLT streaming table and LEFT JOIN</title>
      <link>https://community.databricks.com/t5/data-engineering/dlt-streaming-table-and-left-join/m-p/18438#M12237</link>
      <description>&lt;P&gt;I'm trying to build gold level streaming live table based on two streaming silver live tables with&lt;I&gt; left join&lt;/I&gt;.&lt;/P&gt;&lt;P&gt;This attempt fails with the next error:&lt;/P&gt;&lt;P&gt;&lt;I&gt;"Append mode error: Stream-stream LeftOuter join between two streaming DataFrame/Datasets is not supported without a watermark in the join keys, or a watermark on the nullable side and an appropriate range condition"&lt;/I&gt;.&lt;/P&gt;&lt;P&gt;My question is how I can implement the watermark with SQL interface? Where can I find examples?&lt;/P&gt;&lt;P&gt;Thanks.&lt;/P&gt;</description>
      <pubDate>Tue, 07 Jun 2022 16:16:24 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/dlt-streaming-table-and-left-join/m-p/18438#M12237</guid>
      <dc:creator>Daba</dc:creator>
      <dc:date>2022-06-07T16:16:24Z</dc:date>
    </item>
    <item>
      <title>Re: DLT streaming table and LEFT JOIN</title>
      <link>https://community.databricks.com/t5/data-engineering/dlt-streaming-table-and-left-join/m-p/18440#M12239</link>
      <description>&lt;P&gt;Thanks Fatma,&lt;/P&gt;&lt;P&gt;I do understand the need for watermarks, but I'm just wondering if this supported by SQL syntax?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;</description>
      <pubDate>Sun, 12 Jun 2022 08:02:58 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/dlt-streaming-table-and-left-join/m-p/18440#M12239</guid>
      <dc:creator>Daba</dc:creator>
      <dc:date>2022-06-12T08:02:58Z</dc:date>
    </item>
    <item>
      <title>Re: DLT streaming table and LEFT JOIN</title>
      <link>https://community.databricks.com/t5/data-engineering/dlt-streaming-table-and-left-join/m-p/18441#M12240</link>
      <description>&lt;P&gt;I'm wrestling with similar questions.  This article makes it pretty clear that you'll need to use scala/python/java/r: &lt;A href="https://spark.apache.org/docs/3.0.0-preview/structured-streaming-programming-guide.html#conditions-for-watermarking-to-clean-aggregation-state" alt="https://spark.apache.org/docs/3.0.0-preview/structured-streaming-programming-guide.html#conditions-for-watermarking-to-clean-aggregation-state" target="_blank"&gt;streaming writes&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Fri, 24 Feb 2023 19:45:15 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/dlt-streaming-table-and-left-join/m-p/18441#M12240</guid>
      <dc:creator>TomRenish</dc:creator>
      <dc:date>2023-02-24T19:45:15Z</dc:date>
    </item>
    <item>
      <title>Re: DLT streaming table and LEFT JOIN</title>
      <link>https://community.databricks.com/t5/data-engineering/dlt-streaming-table-and-left-join/m-p/18443#M12242</link>
      <description>&lt;P&gt;It is now!&lt;/P&gt;&lt;P&gt;&lt;A href="https://docs.databricks.com/sql/language-manual/sql-ref-syntax-qry-select-watermark.html" alt="https://docs.databricks.com/sql/language-manual/sql-ref-syntax-qry-select-watermark.html" target="_blank"&gt;https://docs.databricks.com/sql/language-manual/sql-ref-syntax-qry-select-watermark.html&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Fri, 24 Feb 2023 22:18:08 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/dlt-streaming-table-and-left-join/m-p/18443#M12242</guid>
      <dc:creator>NateAnth</dc:creator>
      <dc:date>2023-02-24T22:18:08Z</dc:date>
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