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    <title>topic Does Lakeflow Connect guarantee no out-of-order records? in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/does-lakeflow-connect-guarantee-no-out-of-order-records/m-p/156449#M54422</link>
    <description>&lt;P&gt;I use Lakeflow Connect to load data from my source databases to bronze tables. Then I have auto_cdc to track SCD2 changes in my silver tables. I use _commit_timestamp from the bronze CDF, as sequence_by property in auto_cdc in order to order the version of records. Is that enough, or shall I include business timestamp column to handle out-of-order events?&lt;/P&gt;</description>
    <pubDate>Fri, 08 May 2026 12:27:19 GMT</pubDate>
    <dc:creator>yit337</dc:creator>
    <dc:date>2026-05-08T12:27:19Z</dc:date>
    <item>
      <title>Does Lakeflow Connect guarantee no out-of-order records?</title>
      <link>https://community.databricks.com/t5/data-engineering/does-lakeflow-connect-guarantee-no-out-of-order-records/m-p/156449#M54422</link>
      <description>&lt;P&gt;I use Lakeflow Connect to load data from my source databases to bronze tables. Then I have auto_cdc to track SCD2 changes in my silver tables. I use _commit_timestamp from the bronze CDF, as sequence_by property in auto_cdc in order to order the version of records. Is that enough, or shall I include business timestamp column to handle out-of-order events?&lt;/P&gt;</description>
      <pubDate>Fri, 08 May 2026 12:27:19 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/does-lakeflow-connect-guarantee-no-out-of-order-records/m-p/156449#M54422</guid>
      <dc:creator>yit337</dc:creator>
      <dc:date>2026-05-08T12:27:19Z</dc:date>
    </item>
    <item>
      <title>Re: Does Lakeflow Connect guarantee no out-of-order records?</title>
      <link>https://community.databricks.com/t5/data-engineering/does-lakeflow-connect-guarantee-no-out-of-order-records/m-p/156457#M54424</link>
      <description>&lt;P&gt;&lt;SPAN&gt;To process late arriving data correctly you would need a business column that identifies when the data was created/updated at the source and have that as the first column in your struct of sequence_by columns .&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;A right &lt;/SPAN&gt;&lt;I&gt;&lt;SPAN&gt;sequence_by&lt;/SPAN&gt;&lt;/I&gt;&lt;SPAN&gt; column/columns must be a monotonically increasing representation of the correct event order, with one distinct update per key at each sequencing value ._commit_timestamp alone is only enough if bronze commit time is the exact event order you want to preserve.&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Fri, 08 May 2026 14:47:50 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/does-lakeflow-connect-guarantee-no-out-of-order-records/m-p/156457#M54424</guid>
      <dc:creator>pradeep_singh</dc:creator>
      <dc:date>2026-05-08T14:47:50Z</dc:date>
    </item>
    <item>
      <title>Re: Does Lakeflow Connect guarantee no out-of-order records?</title>
      <link>https://community.databricks.com/t5/data-engineering/does-lakeflow-connect-guarantee-no-out-of-order-records/m-p/156460#M54425</link>
      <description>&lt;P&gt;&lt;STRONG&gt;Recommendation:&lt;/STRONG&gt; use a &lt;STRONG&gt;business/effective timestamp&lt;/STRONG&gt; in &lt;CODE&gt;sequence_by&lt;/CODE&gt; &lt;STRONG&gt;if your source can emit late/backdated changes&lt;/STRONG&gt; and you want SCD2 history to reflect &lt;STRONG&gt;source event time&lt;/STRONG&gt;, not &lt;STRONG&gt;bronze arrival/commit time&lt;/STRONG&gt;. If ties are possible, use a &lt;STRONG&gt;STRUCT&lt;/STRONG&gt; for deterministic ordering, e.g. &lt;CODE&gt;STRUCT(business_ts, _commit_timestamp)&lt;/CODE&gt;. AUTO CDC uses &lt;CODE&gt;SEQUENCE BY&lt;/CODE&gt; as the &lt;STRONG&gt;logical order&lt;/STRONG&gt; of CDC events, handles out-of-order arrivals, and supports multi-column sequencing via &lt;CODE&gt;STRUCT&lt;/CODE&gt;.&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Options&lt;/STRONG&gt;&lt;/P&gt;
&lt;OL&gt;
&lt;LI&gt;&lt;STRONG&gt;Keep &lt;CODE&gt;_commit_timestamp&lt;/CODE&gt; only&lt;/STRONG&gt; — good if bronze commit order is already the business order you want. Databricks docs do show this pattern for Delta CDF examples.&lt;/LI&gt;
&lt;LI&gt;&lt;STRONG&gt;Use business timestamp only&lt;/STRONG&gt; — best if source events can arrive late and must be ordered by source/effective time, not ingestion time. AUTO CDC docs describe &lt;CODE&gt;SEQUENCE BY&lt;/CODE&gt; as the logical order from the source data.&lt;/LI&gt;
&lt;LI&gt;&lt;STRONG&gt;Use &lt;CODE&gt;STRUCT(business_ts, _commit_timestamp)&lt;/CODE&gt;&lt;/STRONG&gt; — best balance in practice: business time decides history, commit time breaks ties deterministically.&lt;/LI&gt;
&lt;/OL&gt;
&lt;P&gt;Summary: &lt;STRONG&gt;&lt;CODE&gt;_commit_timestamp&lt;/CODE&gt; alone is enough when “arrival order = desired history order.” Otherwise include business timestamp.&lt;/STRONG&gt;&lt;/P&gt;</description>
      <pubDate>Fri, 08 May 2026 15:25:06 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/does-lakeflow-connect-guarantee-no-out-of-order-records/m-p/156460#M54425</guid>
      <dc:creator>Lu_Wang_ENB_DBX</dc:creator>
      <dc:date>2026-05-08T15:25:06Z</dc:date>
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