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    <title>topic Re: pyspark streaming failed for now reason in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/pyspark-streaming-failed-for-now-reason/m-p/21255#M14467</link>
    <description>&lt;P&gt;Hi @patricio tojo​,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Did you increase/reduce your Kinesis shards? or did you remove your checkpoint? &lt;/P&gt;</description>
    <pubDate>Thu, 02 Jun 2022 00:31:31 GMT</pubDate>
    <dc:creator>jose_gonzalez</dc:creator>
    <dc:date>2022-06-02T00:31:31Z</dc:date>
    <item>
      <title>pyspark streaming failed for now reason</title>
      <link>https://community.databricks.com/t5/data-engineering/pyspark-streaming-failed-for-now-reason/m-p/21252#M14464</link>
      <description>&lt;P&gt;Hi everyone, I have a pyspark streaming reading from an aws kinesis that suddenly failed for no reason (I mean, we did not make any changes in the last time).&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;It is giving the following error: &lt;/P&gt;&lt;PRE&gt;&lt;CODE&gt;ERROR MicroBatchExecution: Query kinesis_events_prod_bronze [id = 06233cfc-e27d-410d-858b-7c2546c5004f, runId = ace41ec4-c18b-421f-9e5b-bf5f75c96b12] terminated with error
java.lang.IllegalStateException: The transaction log has failed integrity checks. We recommend you contact Databricks support for assistance. To disable this check, set spark.databricks.delta.state.corruptionIsFatal to false&lt;/CODE&gt;&lt;/PRE&gt;&lt;P&gt;Do you have any idea of what could have happened or how to fix it? &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thank you!&lt;/P&gt;</description>
      <pubDate>Sat, 07 May 2022 20:05:23 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/pyspark-streaming-failed-for-now-reason/m-p/21252#M14464</guid>
      <dc:creator>patojo94</dc:creator>
      <dc:date>2022-05-07T20:05:23Z</dc:date>
    </item>
    <item>
      <title>Re: pyspark streaming failed for now reason</title>
      <link>https://community.databricks.com/t5/data-engineering/pyspark-streaming-failed-for-now-reason/m-p/21253#M14465</link>
      <description>&lt;P&gt;@patricio tojo​&amp;nbsp;, It just seems that some record coming from AWS kinesis is corrupted. I think you can debug it on Kinesis side.&lt;/P&gt;</description>
      <pubDate>Sun, 08 May 2022 09:28:03 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/pyspark-streaming-failed-for-now-reason/m-p/21253#M14465</guid>
      <dc:creator>Hubert-Dudek</dc:creator>
      <dc:date>2022-05-08T09:28:03Z</dc:date>
    </item>
    <item>
      <title>Re: pyspark streaming failed for now reason</title>
      <link>https://community.databricks.com/t5/data-engineering/pyspark-streaming-failed-for-now-reason/m-p/21255#M14467</link>
      <description>&lt;P&gt;Hi @patricio tojo​,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Did you increase/reduce your Kinesis shards? or did you remove your checkpoint? &lt;/P&gt;</description>
      <pubDate>Thu, 02 Jun 2022 00:31:31 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/pyspark-streaming-failed-for-now-reason/m-p/21255#M14467</guid>
      <dc:creator>jose_gonzalez</dc:creator>
      <dc:date>2022-06-02T00:31:31Z</dc:date>
    </item>
    <item>
      <title>Re: pyspark streaming failed for now reason</title>
      <link>https://community.databricks.com/t5/data-engineering/pyspark-streaming-failed-for-now-reason/m-p/21257#M14469</link>
      <description>&lt;P&gt;@patricio tojo​&amp;nbsp;I've the same problem, however in my case is after migrating into unity catalog. Need to investigate a little more but adding this to my spark  job, it works:&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;spark.conf.set("spark.databricks.delta.state.corruptionIsFatal", False)&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;</description>
      <pubDate>Mon, 07 Nov 2022 23:45:40 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/pyspark-streaming-failed-for-now-reason/m-p/21257#M14469</guid>
      <dc:creator>jcasanella</dc:creator>
      <dc:date>2022-11-07T23:45:40Z</dc:date>
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