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    <title>topic Hitting 504 Error with Databricks Delta Share open sharing protocol in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/hitting-504-error-with-databricks-delta-share-open-sharing/m-p/113844#M44657</link>
    <description>&lt;P&gt;When trying to query a particularly large table that my team has been given access to in a share (we are querying the table using a profile file with bearer token), we are continually hitting the following error:&lt;BR /&gt;&lt;BR /&gt;io.delta.sharing.client.util.UnexpectedHttpStatuss: HTTP request failed with status: HTTP/1.1 504 Gateway Timeout {"error_code":"DEADLINE_EXCEEDED"}&lt;/P&gt;&lt;P&gt;Are there limitations on the databricks delta share server for the amount of data you can query via a share?&lt;/P&gt;</description>
    <pubDate>Thu, 27 Mar 2025 22:32:30 GMT</pubDate>
    <dc:creator>nbrisson</dc:creator>
    <dc:date>2025-03-27T22:32:30Z</dc:date>
    <item>
      <title>Hitting 504 Error with Databricks Delta Share open sharing protocol</title>
      <link>https://community.databricks.com/t5/data-engineering/hitting-504-error-with-databricks-delta-share-open-sharing/m-p/113844#M44657</link>
      <description>&lt;P&gt;When trying to query a particularly large table that my team has been given access to in a share (we are querying the table using a profile file with bearer token), we are continually hitting the following error:&lt;BR /&gt;&lt;BR /&gt;io.delta.sharing.client.util.UnexpectedHttpStatuss: HTTP request failed with status: HTTP/1.1 504 Gateway Timeout {"error_code":"DEADLINE_EXCEEDED"}&lt;/P&gt;&lt;P&gt;Are there limitations on the databricks delta share server for the amount of data you can query via a share?&lt;/P&gt;</description>
      <pubDate>Thu, 27 Mar 2025 22:32:30 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/hitting-504-error-with-databricks-delta-share-open-sharing/m-p/113844#M44657</guid>
      <dc:creator>nbrisson</dc:creator>
      <dc:date>2025-03-27T22:32:30Z</dc:date>
    </item>
    <item>
      <title>Re: Hitting 504 Error with Databricks Delta Share open sharing protocol</title>
      <link>https://community.databricks.com/t5/data-engineering/hitting-504-error-with-databricks-delta-share-open-sharing/m-p/113845#M44658</link>
      <description>&lt;P&gt;As a note we are using the deltaSharing data source like so:&lt;BR /&gt;&lt;BR /&gt;spark.read.format("deltaSharing")&lt;/P&gt;</description>
      <pubDate>Thu, 27 Mar 2025 22:39:39 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/hitting-504-error-with-databricks-delta-share-open-sharing/m-p/113845#M44658</guid>
      <dc:creator>nbrisson</dc:creator>
      <dc:date>2025-03-27T22:39:39Z</dc:date>
    </item>
    <item>
      <title>Re: Hitting 504 Error with Databricks Delta Share open sharing protocol</title>
      <link>https://community.databricks.com/t5/data-engineering/hitting-504-error-with-databricks-delta-share-open-sharing/m-p/114704#M44913</link>
      <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="https://community.databricks.com/t5/user/viewprofilepage/user-id/155605"&gt;@nbrisson&lt;/a&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;This could be due to large metadata in the Delta table being queried via Delta Sharing. There are some known limitations, you can refer to these docs for more details:&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;&lt;A title="https://docs.databricks.com/aws/en/delta-sharing/troubleshooting" href="https://docs.databricks.com/aws/en/delta-sharing/troubleshooting" target="_blank" rel="noreferrer noopener"&gt;Troubleshoot common sharing issues in Delta Sharing&lt;/A&gt;&lt;/LI&gt;&lt;LI&gt;&lt;A title="https://kb.databricks.com/resource_limit_exceeded-error-when-querying-a-delta-sharing-table" href="https://kb.databricks.com/resource_limit_exceeded-error-when-querying-a-delta-sharing-table" target="_blank" rel="noreferrer noopener"&gt;RESOURCE_LIMIT_EXCEEDED error when querying a Delta Sharing table&lt;/A&gt;&lt;/LI&gt;&lt;/UL&gt;&lt;P&gt;And try to run OPTIMIZE a&lt;SPAN&gt;nd VACUUM &lt;/SPAN&gt;&lt;SPAN&gt;command on the table to reduce metadata size and also you can use partitioning to reduce the number of files.&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Mon, 07 Apr 2025 11:11:56 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/hitting-504-error-with-databricks-delta-share-open-sharing/m-p/114704#M44913</guid>
      <dc:creator>SP_6721</dc:creator>
      <dc:date>2025-04-07T11:11:56Z</dc:date>
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