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    <title>topic Finding Inserted OR Appended Rows in DLT Event Logs in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/finding-inserted-or-appended-rows-in-dlt-event-logs/m-p/148135#M52832</link>
    <description>&lt;P&gt;In the event logs, is there any parameter for finding the inserted record count, e.g - num_inserted_rows ?&lt;/P&gt;&lt;P&gt;I found these parameters -&amp;nbsp;&lt;/P&gt;&lt;P&gt;1. num_updated_rows&lt;/P&gt;&lt;P&gt;2. num_deleted_rows&lt;/P&gt;&lt;P&gt;3. num_output_rows&lt;BR /&gt;but not num_inserted_rows.&lt;/P&gt;&lt;P&gt;&lt;BR /&gt;I could not make the logic of inserted_rows = output rows - upserted rows or any other logic, as num_output_rows and num_upserted_rows are not available simultaneously.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thus, if there is any way to find the num_inserted_rows column please tell. As when we are creating incremental tables, this will help a lot in auditing.&lt;/P&gt;</description>
    <pubDate>Thu, 12 Feb 2026 08:51:37 GMT</pubDate>
    <dc:creator>agent007</dc:creator>
    <dc:date>2026-02-12T08:51:37Z</dc:date>
    <item>
      <title>Finding Inserted OR Appended Rows in DLT Event Logs</title>
      <link>https://community.databricks.com/t5/data-engineering/finding-inserted-or-appended-rows-in-dlt-event-logs/m-p/148135#M52832</link>
      <description>&lt;P&gt;In the event logs, is there any parameter for finding the inserted record count, e.g - num_inserted_rows ?&lt;/P&gt;&lt;P&gt;I found these parameters -&amp;nbsp;&lt;/P&gt;&lt;P&gt;1. num_updated_rows&lt;/P&gt;&lt;P&gt;2. num_deleted_rows&lt;/P&gt;&lt;P&gt;3. num_output_rows&lt;BR /&gt;but not num_inserted_rows.&lt;/P&gt;&lt;P&gt;&lt;BR /&gt;I could not make the logic of inserted_rows = output rows - upserted rows or any other logic, as num_output_rows and num_upserted_rows are not available simultaneously.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thus, if there is any way to find the num_inserted_rows column please tell. As when we are creating incremental tables, this will help a lot in auditing.&lt;/P&gt;</description>
      <pubDate>Thu, 12 Feb 2026 08:51:37 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/finding-inserted-or-appended-rows-in-dlt-event-logs/m-p/148135#M52832</guid>
      <dc:creator>agent007</dc:creator>
      <dc:date>2026-02-12T08:51:37Z</dc:date>
    </item>
    <item>
      <title>Re: Finding Inserted OR Appended Rows in DLT Event Logs</title>
      <link>https://community.databricks.com/t5/data-engineering/finding-inserted-or-appended-rows-in-dlt-event-logs/m-p/148176#M52839</link>
      <description>&lt;P&gt;Hi,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;SPAN&gt;Unfortunately&lt;/SPAN&gt;&lt;SPAN&gt;, the current DLT event log&lt;/SPAN&gt;&lt;SPAN&gt;&amp;nbsp;schema&lt;/SPAN&gt;&lt;SPAN&gt;&amp;nbsp;does not provide&lt;/SPAN&gt;&lt;SPAN&gt;&amp;nbsp;a built&lt;/SPAN&gt;&lt;SPAN&gt;-in way to distinguish&lt;/SPAN&gt;&lt;SPAN&gt;&amp;nbsp;between inserte&lt;/SPAN&gt;&lt;SPAN&gt;d and updated rows in&lt;/SPAN&gt;&lt;SPAN&gt;&amp;nbsp;the&lt;/SPAN&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;SPAN class="markdown-inline-code leading-[1.4]"&gt;&lt;SPAN&gt;num_upserted_rows&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&amp;nbsp;metric&lt;/SPAN&gt;&lt;SPAN&gt;.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;&lt;SPAN class="markdown-bold-text"&gt;There is NO&amp;nbsp;&lt;SPAN class="markdown-inline-code leading-[1.4]"&gt;num_inserted_rows&lt;/SPAN&gt;&amp;nbsp;parameter in&amp;nbsp;DLT event logs.&lt;/SPAN&gt;&amp;nbsp;The&amp;nbsp;&lt;SPAN class="markdown-inline-code leading-[1.4]"&gt;num_upserted_rows&lt;/SPAN&gt;&amp;nbsp;metric combines both inserts&amp;nbsp;and updates together, making it impossible to separate them.&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Thu, 12 Feb 2026 14:00:54 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/finding-inserted-or-appended-rows-in-dlt-event-logs/m-p/148176#M52839</guid>
      <dc:creator>Sidhant07</dc:creator>
      <dc:date>2026-02-12T14:00:54Z</dc:date>
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