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    <title>topic Re: ANALYZE table for stats collection in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/analyze-table-for-stats-collection/m-p/92841#M38555</link>
    <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="https://community.databricks.com/t5/user/viewprofilepage/user-id/124839"&gt;@noorbasha534&lt;/a&gt;&amp;nbsp;,&lt;BR /&gt;&lt;BR /&gt;No worries! You can safely run ANALYZE command! Here is a detailed explanation:&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;Concurrency Between ANALYZE TABLE and Write/Update Operations&lt;/STRONG&gt;&lt;BR /&gt;&lt;STRONG&gt;1. Delta Lake’s ACID Transactions&lt;/STRONG&gt;&lt;BR /&gt;Delta Lake provides ACID (Atomicity, Consistency, Isolation, Durability) transactions. This ensures that all operations on Delta tables are transactionally safe and isolated from one another.&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;2. ANALYZE TABLE Operation&lt;/STRONG&gt;&lt;BR /&gt;ANALYZE TABLE is a read-only operation. It reads the data to compute statistics but does not modify the data.&lt;BR /&gt;Consistent Snapshot: It operates on a consistent snapshot of the data at the time the command is executed. This means it will not include data from ongoing write or update operations that haven't been committed yet.&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;3. Impact on Write/Update Operations&lt;/STRONG&gt;&lt;BR /&gt;No Interference: Since ANALYZE TABLE is read-only and operates on a consistent snapshot, it does not interfere with ongoing write or update operations on the Delta table.&lt;BR /&gt;Concurrency Support: Multiple read operations (like ANALYZE TABLE) and write operations can safely run concurrently without causing conflicts or data corruption.&lt;/P&gt;&lt;P&gt;Hope it helps!&lt;/P&gt;</description>
    <pubDate>Sat, 05 Oct 2024 19:21:44 GMT</pubDate>
    <dc:creator>filipniziol</dc:creator>
    <dc:date>2024-10-05T19:21:44Z</dc:date>
    <item>
      <title>ANALYZE table for stats collection</title>
      <link>https://community.databricks.com/t5/data-engineering/analyze-table-for-stats-collection/m-p/92838#M38554</link>
      <description>&lt;P&gt;Hi all,&lt;/P&gt;&lt;P&gt;I understand ANALYZE table for stats collection does not interfere with write &amp;amp; update operations on a delta table. Please confirm.&lt;/P&gt;&lt;P&gt;I like to execute ANALYZE table command post data loads of delta tables but at times the loads could be extended for long hours, and hence like to ensure that there are no conflicts between these 2 processes.&lt;/P&gt;</description>
      <pubDate>Sat, 05 Oct 2024 19:12:10 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/analyze-table-for-stats-collection/m-p/92838#M38554</guid>
      <dc:creator>noorbasha534</dc:creator>
      <dc:date>2024-10-05T19:12:10Z</dc:date>
    </item>
    <item>
      <title>Re: ANALYZE table for stats collection</title>
      <link>https://community.databricks.com/t5/data-engineering/analyze-table-for-stats-collection/m-p/92841#M38555</link>
      <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="https://community.databricks.com/t5/user/viewprofilepage/user-id/124839"&gt;@noorbasha534&lt;/a&gt;&amp;nbsp;,&lt;BR /&gt;&lt;BR /&gt;No worries! You can safely run ANALYZE command! Here is a detailed explanation:&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;Concurrency Between ANALYZE TABLE and Write/Update Operations&lt;/STRONG&gt;&lt;BR /&gt;&lt;STRONG&gt;1. Delta Lake’s ACID Transactions&lt;/STRONG&gt;&lt;BR /&gt;Delta Lake provides ACID (Atomicity, Consistency, Isolation, Durability) transactions. This ensures that all operations on Delta tables are transactionally safe and isolated from one another.&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;2. ANALYZE TABLE Operation&lt;/STRONG&gt;&lt;BR /&gt;ANALYZE TABLE is a read-only operation. It reads the data to compute statistics but does not modify the data.&lt;BR /&gt;Consistent Snapshot: It operates on a consistent snapshot of the data at the time the command is executed. This means it will not include data from ongoing write or update operations that haven't been committed yet.&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;3. Impact on Write/Update Operations&lt;/STRONG&gt;&lt;BR /&gt;No Interference: Since ANALYZE TABLE is read-only and operates on a consistent snapshot, it does not interfere with ongoing write or update operations on the Delta table.&lt;BR /&gt;Concurrency Support: Multiple read operations (like ANALYZE TABLE) and write operations can safely run concurrently without causing conflicts or data corruption.&lt;/P&gt;&lt;P&gt;Hope it helps!&lt;/P&gt;</description>
      <pubDate>Sat, 05 Oct 2024 19:21:44 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/analyze-table-for-stats-collection/m-p/92841#M38555</guid>
      <dc:creator>filipniziol</dc:creator>
      <dc:date>2024-10-05T19:21:44Z</dc:date>
    </item>
    <item>
      <title>Re: ANALYZE table for stats collection</title>
      <link>https://community.databricks.com/t5/data-engineering/analyze-table-for-stats-collection/m-p/92843#M38557</link>
      <description>&lt;P&gt;&lt;a href="https://community.databricks.com/t5/user/viewprofilepage/user-id/117376"&gt;@filipniziol&lt;/a&gt;&amp;nbsp;thanks for your time in replying. your answer is satisfactory &amp;amp; resolves my queries.&lt;/P&gt;</description>
      <pubDate>Sat, 05 Oct 2024 19:26:37 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/analyze-table-for-stats-collection/m-p/92843#M38557</guid>
      <dc:creator>noorbasha534</dc:creator>
      <dc:date>2024-10-05T19:26:37Z</dc:date>
    </item>
    <item>
      <title>Re: ANALYZE table for stats collection</title>
      <link>https://community.databricks.com/t5/data-engineering/analyze-table-for-stats-collection/m-p/92850#M38558</link>
      <description>&lt;P&gt;Amazing, happy to help!&lt;/P&gt;</description>
      <pubDate>Sat, 05 Oct 2024 19:34:23 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/analyze-table-for-stats-collection/m-p/92850#M38558</guid>
      <dc:creator>filipniziol</dc:creator>
      <dc:date>2024-10-05T19:34:23Z</dc:date>
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