我编写了一个pyspark脚本，该脚本读取两个json文件，coGroup然后将它们发送到elasticsearch集群。当我在本地运行该elasticsearch- hadoop文件时，一切都会正常运行（大部分情况下），我下载了org.elasticsearch.hadoop.mr.EsOutputFormat和org.elasticsearch.hadoop.mr.LinkedMapWritable类的jar文件，然后使用pyspark使用--jars参数运行我的工作，并且可以看到在我的Elasticsearch集群中出现的文档。

但是，当我尝试在Spark群集上运行它时，出现此错误：

Traceback (most recent call last):
  File "/root/spark/spark_test.py", line 141, in <module>
    conf=es_write_conf
  File "/root/spark/python/pyspark/rdd.py", line 1302, in saveAsNewAPIHadoopFile
    keyConverter, valueConverter, jconf)
  File "/root/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/java_gateway.py", line 538, in __call__
  File "/root/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/protocol.py", line 300, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling z:org.apache.spark.api.python.PythonRDD.saveAsNewAPIHadoopFile.
: java.lang.ClassNotFoundException: org.elasticsearch.hadoop.mr.LinkedMapWritable
    at java.net.URLClassLoader$1.run(URLClassLoader.java:366)
    at java.net.URLClassLoader$1.run(URLClassLoader.java:355)
    at java.security.AccessController.doPrivileged(Native Method)
    at java.net.URLClassLoader.findClass(URLClassLoader.java:354)
    at java.lang.ClassLoader.loadClass(ClassLoader.java:425)
    at java.lang.ClassLoader.loadClass(ClassLoader.java:358)
    at java.lang.Class.forName0(Native Method)
    at java.lang.Class.forName(Class.java:274)
    at org.apache.spark.util.Utils$.classForName(Utils.scala:157)
    at org.apache.spark.api.python.PythonRDD$$anonfun$getKeyValueTypes$1$$anonfun$apply$9.apply(PythonRDD.scala:611)
    at org.apache.spark.api.python.PythonRDD$$anonfun$getKeyValueTypes$1$$anonfun$apply$9.apply(PythonRDD.scala:610)
    at scala.Option.map(Option.scala:145)
    at org.apache.spark.api.python.PythonRDD$$anonfun$getKeyValueTypes$1.apply(PythonRDD.scala:610)
    at org.apache.spark.api.python.PythonRDD$$anonfun$getKeyValueTypes$1.apply(PythonRDD.scala:609)
    at scala.Option.flatMap(Option.scala:170)
    at org.apache.spark.api.python.PythonRDD$.getKeyValueTypes(PythonRDD.scala:609)
    at org.apache.spark.api.python.PythonRDD$.saveAsNewAPIHadoopFile(PythonRDD.scala:701)
    at org.apache.spark.api.python.PythonRDD.saveAsNewAPIHadoopFile(PythonRDD.scala)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:606)
    at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231)
    at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:379)
    at py4j.Gateway.invoke(Gateway.java:259)
    at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133)
    at py4j.commands.CallCommand.execute(CallCommand.java:79)
    at py4j.GatewayConnection.run(GatewayConnection.java:207)
    at java.lang.Thread.run(Thread.java:745)

在我看来，这很清楚：elasticsearch- hadoop工人无法使用广口瓶；问题是：如何将其与应用程序一起发送？我可以将其sc.addPyFile用于python依赖项，但不能与jars一起使用，并且使用--jars参数spark- submit也无济于事。