【问题标题】:java.lang.IllegalArgumentException at org.apache.xbean.asm5.ClassReader.<init>(Unknown Source) with Java 10java.lang.IllegalArgumentException at org.apache.xbean.asm5.ClassReader.<init>(Unknown Source) with Java 10
【发布时间】:2018-10-02 08:56:02
【问题描述】:

每当我尝试收集我的 rdd 时,我都会收到以下错误。它发生在我安装 Java 10.1 之后,所以我当然把它拿出来重新安装,同样的错误。然后我安装了 Java 9.04 同样的错误。然后我撕掉了 python 2.7.14、apache spark 2.3.0 和 Hadoop 2.7,同样的错误。有没有人有任何其他原因导致我不断收到错误?

>>> from operator import add
>>> from pyspark import SparkConf, SparkContext
>>> import string
>>> import sys
>>> import re
>>>
>>> sc = SparkContext(appName="NEW")
2018-04-21 22:28:45 WARN  Utils:66 - Service 'SparkUI' could not bind on port 4040. Attempting port 4041.
>>> rdd = sc.parallelize(xrange(1,10))
>>> new =rdd.collect()
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "C:\spark\spark-2.3.0-bin-hadoop2.7\python\pyspark\rdd.py", line 824, in collect
    port = self.ctx._jvm.PythonRDD.collectAndServe(self._jrdd.rdd())
  File "C:\spark\spark-2.3.0-bin-hadoop2.7\python\lib\py4j-0.10.6-src.zip\py4j\java_gateway.py", line 1160, in __call__
  File "C:\spark\spark-2.3.0-bin-hadoop2.7\python\pyspark\sql\utils.py", line 63, in deco
    return f(*a, **kw)
  File "C:\spark\spark-2.3.0-bin-hadoop2.7\python\lib\py4j-0.10.6-src.zip\py4j\protocol.py", line 320, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling z:org.apache.spark.api.python.PythonRDD.collectAndServe.
: java.lang.IllegalArgumentException
        at org.apache.xbean.asm5.ClassReader.<init>(Unknown Source)
        at org.apache.xbean.asm5.ClassReader.<init>(Unknown Source)
        at org.apache.xbean.asm5.ClassReader.<init>(Unknown Source)
        at org.apache.spark.util.ClosureCleaner$.getClassReader(ClosureCleaner.scala:46)
        at org.apache.spark.util.FieldAccessFinder$$anon$3$$anonfun$visitMethodInsn$2.apply(ClosureCleaner.scala:449)
        at org.apache.spark.util.FieldAccessFinder$$anon$3$$anonfun$visitMethodInsn$2.apply(ClosureCleaner.scala:432)
        at scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:733)
        at scala.collection.mutable.HashMap$$anon$1$$anonfun$foreach$2.apply(HashMap.scala:103)
        at scala.collection.mutable.HashMap$$anon$1$$anonfun$foreach$2.apply(HashMap.scala:103)
        at scala.collection.mutable.HashTable$class.foreachEntry(HashTable.scala:230)
        at scala.collection.mutable.HashMap.foreachEntry(HashMap.scala:40)
        at scala.collection.mutable.HashMap$$anon$1.foreach(HashMap.scala:103)
        at scala.collection.TraversableLike$WithFilter.foreach(TraversableLike.scala:732)
        at org.apache.spark.util.FieldAccessFinder$$anon$3.visitMethodInsn(ClosureCleaner.scala:432)
        at org.apache.xbean.asm5.ClassReader.a(Unknown Source)
        at org.apache.xbean.asm5.ClassReader.b(Unknown Source)
        at org.apache.xbean.asm5.ClassReader.accept(Unknown Source)
        at org.apache.xbean.asm5.ClassReader.accept(Unknown Source)
        at org.apache.spark.util.ClosureCleaner$$anonfun$org$apache$spark$util$ClosureCleaner$$clean$14.apply(ClosureCleaner.scala:262)
        at org.apache.spark.util.ClosureCleaner$$anonfun$org$apache$spark$util$ClosureCleaner$$clean$14.apply(ClosureCleaner.scala:261)
        at scala.collection.immutable.List.foreach(List.scala:381)
        at org.apache.spark.util.ClosureCleaner$.org$apache$spark$util$ClosureCleaner$$clean(ClosureCleaner.scala:261)
        at org.apache.spark.util.ClosureCleaner$.clean(ClosureCleaner.scala:159)
        at org.apache.spark.SparkContext.clean(SparkContext.scala:2292)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:2066)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:2092)
        at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:939)
        at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
        at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
        at org.apache.spark.rdd.RDD.withScope(RDD.scala:363)
        at org.apache.spark.rdd.RDD.collect(RDD.scala:938)
        at org.apache.spark.api.python.PythonRDD$.collectAndServe(PythonRDD.scala:153)
        at org.apache.spark.api.python.PythonRDD.collectAndServe(PythonRDD.scala)
        at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(Unknown Source)
        at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source)
        at java.base/java.lang.reflect.Method.invoke(Unknown Source)
        at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
        at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
        at py4j.Gateway.invoke(Gateway.java:282)
        at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
        at py4j.commands.CallCommand.execute(CallCommand.java:79)
        at py4j.GatewayConnection.run(GatewayConnection.java:214)
        at java.base/java.lang.Thread.run(Unknown Source)

>>> print rdd.getNumPartitions()
12
>>>
>>> print(new)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
NameError: name 'new' is not defined
>>> sc.stop()

【问题讨论】:

    标签: apache-spark pyspark


    【解决方案1】:

    有没有人有任何其他原因导致我不断收到错误?

    当前的 Apache Spark 版本不支持 Java 9 或更高版本。计划在 3.0 版本中支持这些(或更高版本)。

    目前要运行 Spark,您必须使用 JDK 8。

    来源:

    【讨论】:

    • 我试过这个,用 spark 2.3.0 将 java 恢复到 JDK 8。仍然看到相同的异常。有什么建议吗?
    • @user87407 如果您使用 PySpark,则可能是配置问题。也许一些 JAVA_HOME 或类似隐藏在某个配置文件的某处?
    • @user8371915,你是对的。我已经更新了 JAVA_HOME,但错过了在 spark-env.sh 中更改它。谢谢!
    • 我在使用 spark 时在 intellij 中遇到了同样的问题。它的默认值为 jdk 11,替换为 jdk8 并且可以正常工作。谢谢。
    【解决方案2】:

    可以通过将 Java 更新到版本 8 并修改为 JDK 8 来解决此问题。此配置会解决此问题:

    • JAVA JDK:jdk-8u92-windows-x64
    • java 版本 1.8.0_181

    以上内容供大家参考

    【讨论】:

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