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    <title>topic Re: Databricks cdc errors and latency in Qlik Replicate</title>
    <link>https://community.qlik.com/t5/Qlik-Replicate/Databricks-cdc-errors-and-latency/m-p/2138635#M8149</link>
    <description>&lt;P&gt;Hello&amp;nbsp;&lt;a href="https://community.qlik.com/t5/user/viewprofilepage/user-id/214271"&gt;@MoeE&lt;/a&gt;&amp;nbsp;,&lt;/P&gt;
&lt;P&gt;Thanks for reaching out to Qlik Community!&lt;/P&gt;
&lt;P&gt;What's the Qlik Replicate version please? and also please show more lines around the error, I'd like to see what's the SQL or operations Qlik Replicate is trying to do now.&lt;/P&gt;
&lt;P&gt;Thank you,&lt;/P&gt;
&lt;P&gt;John.&lt;/P&gt;</description>
    <pubDate>Fri, 17 Nov 2023 05:50:33 GMT</pubDate>
    <dc:creator>john_wang</dc:creator>
    <dc:date>2023-11-17T05:50:33Z</dc:date>
    <item>
      <title>Databricks cdc errors and latency</title>
      <link>https://community.qlik.com/t5/Qlik-Replicate/Databricks-cdc-errors-and-latency/m-p/2138625#M8147</link>
      <description>&lt;DIV&gt;Hi guys,&amp;nbsp;&lt;/DIV&gt;
&lt;DIV&gt;&amp;nbsp;&lt;/DIV&gt;
&lt;DIV&gt;I just wanna check if anyone has seen this issue before?&lt;/DIV&gt;
&lt;DIV&gt;&amp;nbsp;&lt;/DIV&gt;
&lt;DIV&gt;Been having cdc issues and high latency. We check the logs and we saw this error a bunch of times for insert, update, delete, merge which has been occuring for about 1 month.&amp;nbsp; We've restarted the cluster and refreshed the tables as suggested in the error message but this error still persists. source and handling latency are about 8 hours each. Next step I might increase source_capture, target_apply, sorter and stream to try find more info as to the cause of these errors.&lt;/DIV&gt;
&lt;DIV&gt;&amp;nbsp;&lt;/DIV&gt;
&lt;DIV&gt;Failed (retcode -1) to execute statement: 'INSERT INTO `table`&lt;/DIV&gt;
&lt;DIV&gt;&amp;nbsp;&lt;/DIV&gt;
&lt;DIV&gt;RetCode: SQL_ERROR&amp;nbsp; SqlState: HY000 NativeError: 35 Message: [Simba][Hardy] (35) Error from server: error code: '0' error message: 'org.apache.hive.service.cli.HiveSQLException: Error running query: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 3583754.0 failed 4 times, most recent failure: Lost task 0.3 in stage 3583754.0 (TID 6325042) (10.30.144.133 executor 560): com.databricks.sql.io.FileReadException: Error while reading file abfss:REDACTED_LOCAL_PART@someplace.dfs.core.windows.net/someplaceelse/attrep_changes6305620283B82FB1/CDC00000002.csv.gz. [DEFAULT_FILE_NOT_FOUND] It is possible the underlying files have been updated. You can explicitly invalidate the cache in Spark by running 'REFRESH TABLE tableName' command in SQL or by recreating the Dataset/DataFrame involved. If disk cache is stale or the underlying files have been removed, you can invalidate disk cache manually by restarting the cluster.&lt;/DIV&gt;
&lt;DIV&gt;&amp;nbsp;&lt;/DIV&gt;
&lt;DIV&gt;Regards,&lt;/DIV&gt;
&lt;DIV&gt;Mohammed&lt;/DIV&gt;</description>
      <pubDate>Fri, 17 Nov 2023 04:58:24 GMT</pubDate>
      <guid>https://community.qlik.com/t5/Qlik-Replicate/Databricks-cdc-errors-and-latency/m-p/2138625#M8147</guid>
      <dc:creator>MoeE</dc:creator>
      <dc:date>2023-11-17T04:58:24Z</dc:date>
    </item>
    <item>
      <title>Re: Databricks cdc errors and latency</title>
      <link>https://community.qlik.com/t5/Qlik-Replicate/Databricks-cdc-errors-and-latency/m-p/2138635#M8149</link>
      <description>&lt;P&gt;Hello&amp;nbsp;&lt;a href="https://community.qlik.com/t5/user/viewprofilepage/user-id/214271"&gt;@MoeE&lt;/a&gt;&amp;nbsp;,&lt;/P&gt;
&lt;P&gt;Thanks for reaching out to Qlik Community!&lt;/P&gt;
&lt;P&gt;What's the Qlik Replicate version please? and also please show more lines around the error, I'd like to see what's the SQL or operations Qlik Replicate is trying to do now.&lt;/P&gt;
&lt;P&gt;Thank you,&lt;/P&gt;
&lt;P&gt;John.&lt;/P&gt;</description>
      <pubDate>Fri, 17 Nov 2023 05:50:33 GMT</pubDate>
      <guid>https://community.qlik.com/t5/Qlik-Replicate/Databricks-cdc-errors-and-latency/m-p/2138635#M8149</guid>
      <dc:creator>john_wang</dc:creator>
      <dc:date>2023-11-17T05:50:33Z</dc:date>
    </item>
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