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    <title>topic Re: Deleting Lakeflow pipelines impact on objects within. in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/deleting-lakeflow-pipelines-impact-on-objects-within/m-p/140593#M51478</link>
    <description>&lt;P&gt;nothing I came across on official docs.&amp;nbsp;&lt;/P&gt;&lt;P&gt;its a different behavious listed on DB document, I dont think you are looking for this one.&lt;/P&gt;&lt;H2 id="behavior-change-when-dataset-definitions-are-removed-from-lakeflow-spark-declarative-pipelines"&gt;Behavior change when dataset definitions are removed from&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;Lakeflow Spark Declarative Pipelines&lt;/H2&gt;&lt;P&gt;An upcoming release of&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;Lakeflow Spark Declarative Pipelines&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;will change the behavior when a&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;materialized view&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;or&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;streaming table&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;is removed from a pipeline. With this change, the removed&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;materialized view&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;or&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;streaming table&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;will not be deleted automatically when the next pipeline update runs. Instead, you will be able to use the&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;DROP MATERIALIZED VIEW&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;command to delete a&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;materialized view&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;or the&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;DROP TABLE&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;command to delete a&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;streaming table. After dropping an object, running a pipeline update will not recover the object automatically. A new object is created if a&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;materialized view&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;or&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;streaming table&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;with the same definition is re-added to the pipeline. You can, however, recover an object using the&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;UNDROP&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;command.&lt;/P&gt;</description>
    <pubDate>Fri, 28 Nov 2025 11:23:11 GMT</pubDate>
    <dc:creator>Raman_Unifeye</dc:creator>
    <dc:date>2025-11-28T11:23:11Z</dc:date>
    <item>
      <title>Deleting Lakeflow pipelines impact on objects within.</title>
      <link>https://community.databricks.com/t5/data-engineering/deleting-lakeflow-pipelines-impact-on-objects-within/m-p/140588#M51477</link>
      <description>&lt;P&gt;I've seen hidden in some forums that Databricks are working on a fix so that when you delete a LDP pipeline it doesn't delete the underlying objects(streaming tables, mat views etc..).&amp;nbsp; Can anyone from an official source confirm this and maybe give some rough dates as to when this may become available.&amp;nbsp; I've heard Jan 2026 as a date but would like this confirmed with the PM for the project.&lt;/P&gt;&lt;P&gt;Until this is released it's pretty much unusable for us.&amp;nbsp; It carries far too much risk and as I understand there's no real way to mitigate this from happening.&lt;/P&gt;</description>
      <pubDate>Fri, 28 Nov 2025 10:35:09 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/deleting-lakeflow-pipelines-impact-on-objects-within/m-p/140588#M51477</guid>
      <dc:creator>mdungey</dc:creator>
      <dc:date>2025-11-28T10:35:09Z</dc:date>
    </item>
    <item>
      <title>Re: Deleting Lakeflow pipelines impact on objects within.</title>
      <link>https://community.databricks.com/t5/data-engineering/deleting-lakeflow-pipelines-impact-on-objects-within/m-p/140593#M51478</link>
      <description>&lt;P&gt;nothing I came across on official docs.&amp;nbsp;&lt;/P&gt;&lt;P&gt;its a different behavious listed on DB document, I dont think you are looking for this one.&lt;/P&gt;&lt;H2 id="behavior-change-when-dataset-definitions-are-removed-from-lakeflow-spark-declarative-pipelines"&gt;Behavior change when dataset definitions are removed from&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;Lakeflow Spark Declarative Pipelines&lt;/H2&gt;&lt;P&gt;An upcoming release of&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;Lakeflow Spark Declarative Pipelines&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;will change the behavior when a&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;materialized view&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;or&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;streaming table&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;is removed from a pipeline. With this change, the removed&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;materialized view&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;or&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;streaming table&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;will not be deleted automatically when the next pipeline update runs. Instead, you will be able to use the&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;DROP MATERIALIZED VIEW&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;command to delete a&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;materialized view&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;or the&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;DROP TABLE&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;command to delete a&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;streaming table. After dropping an object, running a pipeline update will not recover the object automatically. A new object is created if a&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;materialized view&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;or&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;streaming table&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;with the same definition is re-added to the pipeline. You can, however, recover an object using the&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;UNDROP&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;command.&lt;/P&gt;</description>
      <pubDate>Fri, 28 Nov 2025 11:23:11 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/deleting-lakeflow-pipelines-impact-on-objects-within/m-p/140593#M51478</guid>
      <dc:creator>Raman_Unifeye</dc:creator>
      <dc:date>2025-11-28T11:23:11Z</dc:date>
    </item>
    <item>
      <title>Re: Deleting Lakeflow pipelines impact on objects within.</title>
      <link>https://community.databricks.com/t5/data-engineering/deleting-lakeflow-pipelines-impact-on-objects-within/m-p/140609#M51485</link>
      <description>&lt;P&gt;This was a step in the right direction but it's still the case if the whole pipeline is deleted the contained objects are also dropped.&amp;nbsp; Found this on reddit but not confident how official this is.&lt;/P&gt;&lt;P&gt;&lt;A href="https://www.reddit.com/r/databricks/comments/1niczj7/comment/nm1ybfd/?context=3" target="_blank"&gt;https://www.reddit.com/r/databricks/comments/1niczj7/comment/nm1ybfd/?context=3&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 28 Nov 2025 13:33:16 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/deleting-lakeflow-pipelines-impact-on-objects-within/m-p/140609#M51485</guid>
      <dc:creator>mdungey</dc:creator>
      <dc:date>2025-11-28T13:33:16Z</dc:date>
    </item>
    <item>
      <title>Re: Deleting Lakeflow pipelines impact on objects within.</title>
      <link>https://community.databricks.com/t5/data-engineering/deleting-lakeflow-pipelines-impact-on-objects-within/m-p/140622#M51491</link>
      <description>&lt;P&gt;yes, I would take that as a pinch of salt &lt;span class="lia-unicode-emoji" title=":grinning_face_with_smiling_eyes:"&gt;😄&lt;/span&gt;&lt;/P&gt;</description>
      <pubDate>Fri, 28 Nov 2025 16:45:15 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/deleting-lakeflow-pipelines-impact-on-objects-within/m-p/140622#M51491</guid>
      <dc:creator>Raman_Unifeye</dc:creator>
      <dc:date>2025-11-28T16:45:15Z</dc:date>
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