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    <title>topic Re: Ensuring Row Order When Importing CSV with COPY INTO in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/ensuring-row-order-when-importing-csv-with-copy-into/m-p/129453#M48534</link>
    <description>&lt;P&gt;Is there any way to preserve or reconstruct the original row order during COPY INTO without adding a row_number column to the CSV?&lt;/P&gt;</description>
    <pubDate>Sat, 23 Aug 2025 18:54:23 GMT</pubDate>
    <dc:creator>SanneJansen564</dc:creator>
    <dc:date>2025-08-23T18:54:23Z</dc:date>
    <item>
      <title>Ensuring Row Order When Importing CSV with COPY INTO</title>
      <link>https://community.databricks.com/t5/data-engineering/ensuring-row-order-when-importing-csv-with-copy-into/m-p/128640#M48307</link>
      <description>&lt;P&gt;Hi everyone,&lt;BR /&gt;&lt;BR /&gt;I have a CSV file stored in S3, and it's critical for my process that the rows are loaded in the exact order they appear in the file.&lt;BR /&gt;&lt;BR /&gt;Does the COPY INTO command preserve the original row order during the load? I need to make sure the bronze layer reflects the file's exact sequence for downstream parsing.&lt;BR /&gt;&lt;BR /&gt;Has anyone dealt with this before or knows if there’s a way to guarantee the order is maintained?&lt;BR /&gt;&lt;BR /&gt;Thanks in advance!&lt;/P&gt;</description>
      <pubDate>Sat, 16 Aug 2025 14:55:47 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/ensuring-row-order-when-importing-csv-with-copy-into/m-p/128640#M48307</guid>
      <dc:creator>SanneJansen564</dc:creator>
      <dc:date>2025-08-16T14:55:47Z</dc:date>
    </item>
    <item>
      <title>Re: Ensuring Row Order When Importing CSV with COPY INTO</title>
      <link>https://community.databricks.com/t5/data-engineering/ensuring-row-order-when-importing-csv-with-copy-into/m-p/128641#M48308</link>
      <description>&lt;P&gt;When loading CSV files using COPY INTO, it's important to note that row order is not guaranteed. This is because the process leverages Spark’s distributed architecture, which reads and processes data in parallel across different nodes. That parallelism can lead to rows being ingested in a different sequence than they appear in the original file.&lt;/P&gt;&lt;P&gt;If maintaining the exact row order is critical for your use case, a reliable solution is to include an explicit ordering column—such as a row_number—in the CSV before loading. After ingestion, you can sort the data based on that column to accurately reconstruct the original sequence.&lt;/P&gt;&lt;P&gt;This approach ensures consistency, especially when working with downstream transformations that depend on the initial row arrangement.&lt;/P&gt;</description>
      <pubDate>Sat, 16 Aug 2025 14:56:11 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/ensuring-row-order-when-importing-csv-with-copy-into/m-p/128641#M48308</guid>
      <dc:creator>WiliamRosa</dc:creator>
      <dc:date>2025-08-16T14:56:11Z</dc:date>
    </item>
    <item>
      <title>Re: Ensuring Row Order When Importing CSV with COPY INTO</title>
      <link>https://community.databricks.com/t5/data-engineering/ensuring-row-order-when-importing-csv-with-copy-into/m-p/129453#M48534</link>
      <description>&lt;P&gt;Is there any way to preserve or reconstruct the original row order during COPY INTO without adding a row_number column to the CSV?&lt;/P&gt;</description>
      <pubDate>Sat, 23 Aug 2025 18:54:23 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/ensuring-row-order-when-importing-csv-with-copy-into/m-p/129453#M48534</guid>
      <dc:creator>SanneJansen564</dc:creator>
      <dc:date>2025-08-23T18:54:23Z</dc:date>
    </item>
    <item>
      <title>Re: Ensuring Row Order When Importing CSV with COPY INTO</title>
      <link>https://community.databricks.com/t5/data-engineering/ensuring-row-order-when-importing-csv-with-copy-into/m-p/129454#M48535</link>
      <description>&lt;P&gt;You can try using input_file_name() or force a single partition read, but original row order still isn't guaranteed.&lt;/P&gt;</description>
      <pubDate>Sat, 23 Aug 2025 18:57:03 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/ensuring-row-order-when-importing-csv-with-copy-into/m-p/129454#M48535</guid>
      <dc:creator>WiliamRosa</dc:creator>
      <dc:date>2025-08-23T18:57:03Z</dc:date>
    </item>
    <item>
      <title>Re: Ensuring Row Order When Importing CSV with COPY INTO</title>
      <link>https://community.databricks.com/t5/data-engineering/ensuring-row-order-when-importing-csv-with-copy-into/m-p/129455#M48536</link>
      <description>&lt;P&gt;Does using a single partition during the load significantly impact performance?&lt;/P&gt;</description>
      <pubDate>Sat, 23 Aug 2025 18:58:41 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/ensuring-row-order-when-importing-csv-with-copy-into/m-p/129455#M48536</guid>
      <dc:creator>SanneJansen564</dc:creator>
      <dc:date>2025-08-23T18:58:41Z</dc:date>
    </item>
    <item>
      <title>Re: Ensuring Row Order When Importing CSV with COPY INTO</title>
      <link>https://community.databricks.com/t5/data-engineering/ensuring-row-order-when-importing-csv-with-copy-into/m-p/129456#M48537</link>
      <description>&lt;P&gt;yes, forcing a single partition can degrade performance, especially with large files.&lt;/P&gt;</description>
      <pubDate>Sat, 23 Aug 2025 18:59:47 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/ensuring-row-order-when-importing-csv-with-copy-into/m-p/129456#M48537</guid>
      <dc:creator>WiliamRosa</dc:creator>
      <dc:date>2025-08-23T18:59:47Z</dc:date>
    </item>
    <item>
      <title>Re: Ensuring Row Order When Importing CSV with COPY INTO</title>
      <link>https://community.databricks.com/t5/data-engineering/ensuring-row-order-when-importing-csv-with-copy-into/m-p/129457#M48538</link>
      <description>&lt;P&gt;thanks so much&amp;nbsp;&lt;a href="https://community.databricks.com/t5/user/viewprofilepage/user-id/179612"&gt;@WiliamRosa&lt;/a&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Sat, 23 Aug 2025 19:00:35 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/ensuring-row-order-when-importing-csv-with-copy-into/m-p/129457#M48538</guid>
      <dc:creator>SanneJansen564</dc:creator>
      <dc:date>2025-08-23T19:00:35Z</dc:date>
    </item>
    <item>
      <title>Re: Ensuring Row Order When Importing CSV with COPY INTO</title>
      <link>https://community.databricks.com/t5/data-engineering/ensuring-row-order-when-importing-csv-with-copy-into/m-p/129458#M48539</link>
      <description>&lt;P&gt;Not at all!&lt;/P&gt;</description>
      <pubDate>Sat, 23 Aug 2025 19:01:35 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/ensuring-row-order-when-importing-csv-with-copy-into/m-p/129458#M48539</guid>
      <dc:creator>WiliamRosa</dc:creator>
      <dc:date>2025-08-23T19:01:35Z</dc:date>
    </item>
    <item>
      <title>Re: Ensuring Row Order When Importing CSV with COPY INTO</title>
      <link>https://community.databricks.com/t5/data-engineering/ensuring-row-order-when-importing-csv-with-copy-into/m-p/129459#M48540</link>
      <description>&lt;P&gt;I just want to say - moderators will be notify&amp;nbsp;&lt;a href="https://community.databricks.com/t5/user/viewprofilepage/user-id/179612"&gt;@WiliamRosa&lt;/a&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Sat, 23 Aug 2025 19:09:17 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/ensuring-row-order-when-importing-csv-with-copy-into/m-p/129459#M48540</guid>
      <dc:creator>szymon_dybczak</dc:creator>
      <dc:date>2025-08-23T19:09:17Z</dc:date>
    </item>
    <item>
      <title>Re: Ensuring Row Order When Importing CSV with COPY INTO</title>
      <link>https://community.databricks.com/t5/data-engineering/ensuring-row-order-when-importing-csv-with-copy-into/m-p/129464#M48541</link>
      <description>&lt;P&gt;ok&lt;/P&gt;</description>
      <pubDate>Sat, 23 Aug 2025 19:27:25 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/ensuring-row-order-when-importing-csv-with-copy-into/m-p/129464#M48541</guid>
      <dc:creator>SanneJansen564</dc:creator>
      <dc:date>2025-08-23T19:27:25Z</dc:date>
    </item>
    <item>
      <title>Re: Ensuring Row Order When Importing CSV with COPY INTO</title>
      <link>https://community.databricks.com/t5/data-engineering/ensuring-row-order-when-importing-csv-with-copy-into/m-p/129465#M48542</link>
      <description>&lt;P&gt;Sanne, Szymon is right, even thought we know each other, please remove thes lastest solutions please.&lt;/P&gt;</description>
      <pubDate>Sat, 23 Aug 2025 19:29:52 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/ensuring-row-order-when-importing-csv-with-copy-into/m-p/129465#M48542</guid>
      <dc:creator>WiliamRosa</dc:creator>
      <dc:date>2025-08-23T19:29:52Z</dc:date>
    </item>
    <item>
      <title>Re: Ensuring Row Order When Importing CSV with COPY INTO</title>
      <link>https://community.databricks.com/t5/data-engineering/ensuring-row-order-when-importing-csv-with-copy-into/m-p/129468#M48544</link>
      <description>&lt;P&gt;tks&amp;nbsp;&lt;a href="https://community.databricks.com/t5/user/viewprofilepage/user-id/179725"&gt;@SanneJansen564&lt;/a&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Sat, 23 Aug 2025 20:44:45 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/ensuring-row-order-when-importing-csv-with-copy-into/m-p/129468#M48544</guid>
      <dc:creator>WiliamRosa</dc:creator>
      <dc:date>2025-08-23T20:44:45Z</dc:date>
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