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    <title>topic Re: Noisy error in Databricks. in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/noisy-error-in-databricks/m-p/45205#M27810</link>
    <description>&lt;P&gt;Hi,&lt;/P&gt;&lt;P&gt;Cluster configuration, user code and input data has remain unchanged. I am indeed running concurrent jobs using the same source table and generate an output table for every individual job. Can you elaborate on what you mean with resource contention? I do not understand how this applies to Databricks jobs.&lt;/P&gt;&lt;P&gt;Thanks in advance!&lt;/P&gt;</description>
    <pubDate>Mon, 18 Sep 2023 08:02:35 GMT</pubDate>
    <dc:creator>alvaro_databric</dc:creator>
    <dc:date>2023-09-18T08:02:35Z</dc:date>
    <item>
      <title>Noisy error in Databricks.</title>
      <link>https://community.databricks.com/t5/data-engineering/noisy-error-in-databricks/m-p/44996#M27764</link>
      <description>&lt;P&gt;Hello all,&amp;nbsp;&lt;/P&gt;&lt;P&gt;I need some help figuring out the exact cause of this error. While in the middle of a complex scala transformation notebook in Azure Databricks, from time to time i get an error which looks like this, can someone help?&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Job aborted due to stage failure: $linee899685e104341378f258eaf5a3e740579/$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw.class&lt;/SPAN&gt;&lt;/P&gt;&lt;DIV&gt;23/09/15 10:15:32 ERROR Uncaught throwable from user code: org.apache.spark.SparkException: Job aborted due to stage failure: Task 59 in stage 141.0 failed 4 times, most recent failure: Lost task 59.3 in stage 141.0 (TID 14396) (10.8.24.23 executor 4): org.apache.spark.repl.RemoteClassLoaderError: $linee899685e104341378f258eaf5a3e740579/$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw.class&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;at org.apache.spark.repl.ExecutorClassLoader$$anon$1.toClassNotFound(ExecutorClassLoader.scala:156)&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;at org.apache.spark.repl.ExecutorClassLoader$$anon$1.read(ExecutorClassLoader.scala:143)&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;at java.io.FilterInputStream.read(FilterInputStream.java:107)&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;at org.apache.spark.repl.ExecutorClassLoader.readAndTransformClass(ExecutorClassLoader.scala:263)&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;at org.apache.spark.repl.ExecutorClassLoader.findClassLocally(ExecutorClassLoader.scala:217)&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;at org.apache.spark.repl.ExecutorClassLoader.findClass(ExecutorClassLoader.scala:115)&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;at java.lang.ClassLoader.loadClass(ClassLoader.java:419)&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;at java.lang.ClassLoader.loadClass(ClassLoader.java:352)&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;at java.lang.Class.getDeclaredFields0(Native Method)&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;at java.lang.Class.privateGetDeclaredFields(Class.java:2583)&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;at java.lang.Class.getDeclaredField(Class.java:2068)&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;at java.io.ObjectStreamClass.getDeclaredSUID(ObjectStreamClass.java:1871)&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;at java.io.ObjectStreamClass.access$700(ObjectStreamClass.java:79)&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;at java.io.ObjectStreamClass$3.run(ObjectStreamClass.java:506)&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;at java.io.ObjectStreamClass$3.run(ObjectStreamClass.java:494)&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;at java.security.AccessController.doPrivileged(Native Method)&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;... 209 more&lt;/SPAN&gt;&lt;/DIV&gt;</description>
      <pubDate>Fri, 15 Sep 2023 10:31:35 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/noisy-error-in-databricks/m-p/44996#M27764</guid>
      <dc:creator>alvaro_databric</dc:creator>
      <dc:date>2023-09-15T10:31:35Z</dc:date>
    </item>
    <item>
      <title>Re: Noisy error in Databricks.</title>
      <link>https://community.databricks.com/t5/data-engineering/noisy-error-in-databricks/m-p/45205#M27810</link>
      <description>&lt;P&gt;Hi,&lt;/P&gt;&lt;P&gt;Cluster configuration, user code and input data has remain unchanged. I am indeed running concurrent jobs using the same source table and generate an output table for every individual job. Can you elaborate on what you mean with resource contention? I do not understand how this applies to Databricks jobs.&lt;/P&gt;&lt;P&gt;Thanks in advance!&lt;/P&gt;</description>
      <pubDate>Mon, 18 Sep 2023 08:02:35 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/noisy-error-in-databricks/m-p/45205#M27810</guid>
      <dc:creator>alvaro_databric</dc:creator>
      <dc:date>2023-09-18T08:02:35Z</dc:date>
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