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    <title>topic Re: Lakeflow clarification in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/lakeflow-clarification/m-p/122195#M46692</link>
    <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="https://community.databricks.com/t5/user/viewprofilepage/user-id/112280"&gt;@Ramki&lt;/a&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Yes, you can modify a streaming table created by a LakeFlow pipeline, especially when the pipeline is in triggered mode (not running continuously).&lt;BR /&gt;In your case, you want to add the following Delta table properties:&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;LI-CODE lang="python"&gt;TBLPROPERTIES (
  'delta.enableIcebergCompatV2' = 'true',
  'delta.universalFormat.enabledFormats' = 'iceberg'
)&lt;/LI-CODE&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Since your pipeline is in triggered mode, you can safely alter the target table outside of the pipeline run using a regular SQL command&lt;BR /&gt;in a Databricks notebook or SQL editor:&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;LI-CODE lang="python"&gt;ALTER TABLE &amp;lt;your_table_name&amp;gt;
SET TBLPROPERTIES (
  'delta.enableIcebergCompatV2' = 'true',
  'delta.universalFormat.enabledFormats' = 'iceberg'
);&lt;/LI-CODE&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Wed, 18 Jun 2025 23:44:25 GMT</pubDate>
    <dc:creator>lingareddy_Alva</dc:creator>
    <dc:date>2025-06-18T23:44:25Z</dc:date>
    <item>
      <title>Lakeflow clarification</title>
      <link>https://community.databricks.com/t5/data-engineering/lakeflow-clarification/m-p/122191#M46689</link>
      <description>&lt;P&gt;Are there options to modify the streaming table after it has been created by the Lakeflow pipeline? In the use case I'm trying to solve, I need to add delta.enableIcebergCompatV2 and delta.universalFormat.enabledFormats to the target streaming table. The pipeline is set in triggered mode and is not running continuously.&lt;/P&gt;&lt;P&gt;Thank you for your assistance.&lt;/P&gt;</description>
      <pubDate>Wed, 18 Jun 2025 21:35:46 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/lakeflow-clarification/m-p/122191#M46689</guid>
      <dc:creator>Ramki</dc:creator>
      <dc:date>2025-06-18T21:35:46Z</dc:date>
    </item>
    <item>
      <title>Re: Lakeflow clarification</title>
      <link>https://community.databricks.com/t5/data-engineering/lakeflow-clarification/m-p/122195#M46692</link>
      <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="https://community.databricks.com/t5/user/viewprofilepage/user-id/112280"&gt;@Ramki&lt;/a&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Yes, you can modify a streaming table created by a LakeFlow pipeline, especially when the pipeline is in triggered mode (not running continuously).&lt;BR /&gt;In your case, you want to add the following Delta table properties:&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;LI-CODE lang="python"&gt;TBLPROPERTIES (
  'delta.enableIcebergCompatV2' = 'true',
  'delta.universalFormat.enabledFormats' = 'iceberg'
)&lt;/LI-CODE&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Since your pipeline is in triggered mode, you can safely alter the target table outside of the pipeline run using a regular SQL command&lt;BR /&gt;in a Databricks notebook or SQL editor:&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;LI-CODE lang="python"&gt;ALTER TABLE &amp;lt;your_table_name&amp;gt;
SET TBLPROPERTIES (
  'delta.enableIcebergCompatV2' = 'true',
  'delta.universalFormat.enabledFormats' = 'iceberg'
);&lt;/LI-CODE&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 18 Jun 2025 23:44:25 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/lakeflow-clarification/m-p/122195#M46692</guid>
      <dc:creator>lingareddy_Alva</dc:creator>
      <dc:date>2025-06-18T23:44:25Z</dc:date>
    </item>
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