Question

使用PyCharm运行简单的字数统计程序时出现以下错误。

Using- python 2.7 Hadoop 3.0.0 Macos High Sierra

Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
    Setting default log level to "WARN".
    To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
    WARNING: An illegal reflective access operation has occurred
    WARNING: Illegal reflective access by org.apache.hadoop.security.authentication.util.KerberosUtil (file:/usr/local/spark/jars/hadoop-auth-2.7.3.jar) to method sun.security.krb5.Config.getInstance()
    WARNING: Please consider reporting this to the maintainers of org.apache.hadoop.security.authentication.util.KerberosUtil
    WARNING: Use --illegal-access=warn to enable warnings of further illegal reflective access operations
    WARNING: All illegal access operations will be denied in a future release
    18/02/22 21:29:32 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
    Traceback (most recent call last):
      File "/Users/SAM/PycharmProjects/BB/BBTest.py", line 18, in <module>
        output = counts.collect()
      File "/usr/local/lib/python2.7/site-packages/pyspark/rdd.py", line 809, in collect
        port = self.ctx._jvm.PythonRDD.collectAndServe(self._jrdd.rdd())
      File "/usr/local/lib/python2.7/site-packages/py4j/java_gateway.py", line 1133, in __call__
        answer, self.gateway_client, self.target_id, self.name)
      File "/usr/local/lib/python2.7/site-packages/py4j/protocol.py", line 319, in get_return_value
        format(target_id, ".", name), 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:443)
        at org.apache.spark.util.FieldAccessFinder$$anon$3$$anonfun$visitMethodInsn$2.apply(ClosureCleaner.scala:426)
        at scala.collection.TraversableLike$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$$anon$3.visitMethodInsn(ClosureCleaner.scala:426)
        at org.apache.xbean.asm5.ClassReader.a(Unknown Source)
        at org.apache.xbean.asm5.ClassReader.b(Unknown Source)
        at org.apache.xbean.asm5.ClassReader.accept(Unknown Source)
        at org.apache.xbean.asm5.ClassReader.accept(Unknown Source)
        at org.apache.spark.util.ClosureCleaner$$anonfun$org$apache$spark$util$ClosureCleaner$$clean$14.apply(ClosureCleaner.scala:257)
        at org.apache.spark.util.ClosureCleaner$$anonfun$org$apache$spark$util$ClosureCleaner$$clean$14.apply(ClosureCleaner.scala:256)
        at scala.collection.immutable.List.foreach(List.scala:381)
        at org.apache.spark.util.ClosureCleaner$.org$apache$spark$util$ClosureCleaner$$clean(ClosureCleaner.scala:256)
        at org.apache.spark.util.ClosureCleaner$.clean(ClosureCleaner.scala:156)
        at org.apache.spark.SparkContext.clean(SparkContext.scala:2294)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:2068)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:2094)
        at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:936)
        at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
        at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
        at org.apache.spark.rdd.RDD.withScope(RDD.scala:362)
        at org.apache.spark.rdd.RDD.collect(RDD.scala:935)
        at org.apache.spark.api.python.PythonRDD$.collectAndServe(PythonRDD.scala:467)
        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(NativeMethodAccessorImpl.java:62)
        at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.base/java.lang.reflect.Method.invoke(Method.java:564)
        at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
        at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
        at py4j.Gateway.invoke(Gateway.java:280)
        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(Thread.java:844)

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Answer 1

如果没有看到源代码，就会出现错误，很难帮助您单独调试错误。第18行（从错误中收集）使用的counts.collect（）是否应该有args？如果这不起作用我最好的猜测是因为你在python环境中有Java错误，你的python或java安装都已损坏，需要重新安装。

此外，在你的错误中进一步阅读时，似乎没有存储hadoop，而PyCharm知道在哪里寻找它，基于＆＃34; 18/02/22 21:29:32 WARN NativeCodeLoader：无法为您的平台加载native-hadoop库...在适用的情况下使用builtin-java类＆＃34;

py4j.protocol.Py4JJavaError：调用z时发生错误：org.apache.spark.api.python.PythonRDD.collectAndServe

1 个答案: