java.lang.OutOfMemoryError: PermGen space

Stack Overflow | None | 2 years ago
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    This error means there's a class missing in your classpath during runtime. You need to create a jar with all your dependencies and have it in your classpath. Check Maven Assembly Plugin and how to add your dependencies to a jar: https://goo.gl/U2zr8k
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    Using Spark 1.0 with Altiscale – Altiscale Docs

    zendesk.com | 2 years ago
    java.lang.OutOfMemoryError: PermGen space at java.lang.ClassLoader.defineClass1(Native Method)>

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    Root Cause Analysis

    1. java.lang.OutOfMemoryError

      PermGen space

      at java.lang.ClassLoader.defineClass1()
    2. Java RT
      Class.getDeclaredMethods
      1. java.lang.ClassLoader.defineClass1(Native Method)
      2. java.lang.ClassLoader.defineClass(ClassLoader.java:800)
      3. java.security.SecureClassLoader.defineClass(SecureClassLoader.java:142)
      4. java.net.URLClassLoader.defineClass(URLClassLoader.java:449)
      5. java.net.URLClassLoader.access$100(URLClassLoader.java:71)
      6. java.net.URLClassLoader$1.run(URLClassLoader.java:361)
      7. java.net.URLClassLoader$1.run(URLClassLoader.java:355)
      8. java.security.AccessController.doPrivileged(Native Method)
      9. java.net.URLClassLoader.findClass(URLClassLoader.java:354)
      10. java.lang.ClassLoader.loadClass(ClassLoader.java:425)
      11. sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:308)
      12. java.lang.ClassLoader.loadClass(ClassLoader.java:358)
      13. java.lang.Class.getDeclaredMethods0(Native Method)
      14. java.lang.Class.privateGetDeclaredMethods(Class.java:2570)
      15. java.lang.Class.getDeclaredMethods(Class.java:1855)
      15 frames
    3. Spark
      SerDeUtil$.javaToPython
      1. org.apache.spark.util.ClosureCleaner$.org$apache$spark$util$ClosureCleaner$$clean(ClosureCleaner.scala:206)
      2. org.apache.spark.util.ClosureCleaner$.clean(ClosureCleaner.scala:132)
      3. org.apache.spark.SparkContext.clean(SparkContext.scala:1891)
      4. org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1.apply(RDD.scala:683)
      5. org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1.apply(RDD.scala:682)
      6. org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:148)
      7. org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:109)
      8. org.apache.spark.rdd.RDD.withScope(RDD.scala:286)
      9. org.apache.spark.rdd.RDD.mapPartitions(RDD.scala:682)
      10. org.apache.spark.api.python.SerDeUtil$.javaToPython(SerDeUtil.scala:140)
      10 frames
    4. Spark Project SQL
      DataFrame.javaToPython
      1. org.apache.spark.sql.DataFrame.javaToPython(DataFrame.scala:1435)
      1 frame
    5. Java RT
      Method.invoke
      1. sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
      2. sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
      3. sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
      4. java.lang.reflect.Method.invoke(Method.java:606)
      4 frames
    6. Py4J
      ReflectionEngine.invoke
      1. py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231)
      2. py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:379)
      2 frames