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    <title>topic Delta live tables straming in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/delta-live-tables-straming/m-p/49821#M28626</link>
    <description>&lt;P&gt;I'm trying to add&lt;SPAN&gt;monotonicallyIncreasingId() column to a streaming table and I see the following error&lt;/SPAN&gt;&lt;/P&gt;&lt;LI-CODE lang="markup"&gt;Failed to start stream [table_name] in either append mode or complete mode.
Append mode error: Expression(s): monotonically_increasing_id() is not supported with streaming DataFrames/Datasets;&lt;/LI-CODE&gt;&lt;P&gt;Streaming from S3 buckets to databricks.&amp;nbsp;&lt;/P&gt;&lt;P&gt;Can someone please help.&lt;/P&gt;</description>
    <pubDate>Wed, 25 Oct 2023 00:40:05 GMT</pubDate>
    <dc:creator>Rishitha</dc:creator>
    <dc:date>2023-10-25T00:40:05Z</dc:date>
    <item>
      <title>Delta live tables straming</title>
      <link>https://community.databricks.com/t5/data-engineering/delta-live-tables-straming/m-p/49821#M28626</link>
      <description>&lt;P&gt;I'm trying to add&lt;SPAN&gt;monotonicallyIncreasingId() column to a streaming table and I see the following error&lt;/SPAN&gt;&lt;/P&gt;&lt;LI-CODE lang="markup"&gt;Failed to start stream [table_name] in either append mode or complete mode.
Append mode error: Expression(s): monotonically_increasing_id() is not supported with streaming DataFrames/Datasets;&lt;/LI-CODE&gt;&lt;P&gt;Streaming from S3 buckets to databricks.&amp;nbsp;&lt;/P&gt;&lt;P&gt;Can someone please help.&lt;/P&gt;</description>
      <pubDate>Wed, 25 Oct 2023 00:40:05 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/delta-live-tables-straming/m-p/49821#M28626</guid>
      <dc:creator>Rishitha</dc:creator>
      <dc:date>2023-10-25T00:40:05Z</dc:date>
    </item>
    <item>
      <title>Re: Delta live tables straming</title>
      <link>https://community.databricks.com/t5/data-engineering/delta-live-tables-straming/m-p/50290#M28754</link>
      <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="https://community.databricks.com/t5/user/viewprofilepage/user-id/61656"&gt;@Rishitha&lt;/a&gt;,&lt;/P&gt;
&lt;P&gt;Just a friendly follow-up. Have you had a chance to review my colleague's response to your inquiry? Did it prove helpful, or are you still in need of assistance? Your response would be greatly appreciated.&lt;/P&gt;</description>
      <pubDate>Wed, 01 Nov 2023 17:18:47 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/delta-live-tables-straming/m-p/50290#M28754</guid>
      <dc:creator>jose_gonzalez</dc:creator>
      <dc:date>2023-11-01T17:18:47Z</dc:date>
    </item>
    <item>
      <title>Re: Delta live tables straming</title>
      <link>https://community.databricks.com/t5/data-engineering/delta-live-tables-straming/m-p/50568#M28830</link>
      <description>&lt;P class=""&gt;The error "Failed to start stream [table_name] in either append mode or complete mode. Append mode error: Expression(s): monotonically_increasing_id() is not supported with streaming DataFrames/Datasets" occurs when trying to start the stream in append mode and you are trying to perform an operation that is not supported in Structured Streaming. You can't do row_number in streaming.&lt;/P&gt;
&lt;P class=""&gt;You can resolve this issue by applying SQL window functions.&lt;/P&gt;
&lt;P class=""&gt;If you are performing an aggregation, you must apply a watermark to the DataFrame if you want to use append mode. The aggregation must have an event-time column, or a window on the event-time column.&lt;/P&gt;</description>
      <pubDate>Tue, 07 Nov 2023 14:10:28 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/delta-live-tables-straming/m-p/50568#M28830</guid>
      <dc:creator>MuthuLakshmi</dc:creator>
      <dc:date>2023-11-07T14:10:28Z</dc:date>
    </item>
    <item>
      <title>Re: Delta live tables straming</title>
      <link>https://community.databricks.com/t5/data-engineering/delta-live-tables-straming/m-p/62167#M31913</link>
      <description>&lt;P&gt;Is aggregations with row_number() combined with a SQL window function and a watermark still supported in Databricks 14.3?&lt;/P&gt;</description>
      <pubDate>Wed, 28 Feb 2024 02:07:37 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/delta-live-tables-straming/m-p/62167#M31913</guid>
      <dc:creator>Niro</dc:creator>
      <dc:date>2024-02-28T02:07:37Z</dc:date>
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