也许有人能帮我。我想用pyspark从es读取数据。我的jupyter笔记本代码非常简单：

import pyspark
conf = pyspark.SparkConf().setAppName('Test').setMaster('spark://spark-master:7077')
sc = pyspark.SparkContext(conf=conf)
es_rdd = sc.newAPIHadoopRDD(
    inputFormatClass="org.elasticsearch.hadoop.mr.EsInputFormat",
    keyClass="org.apache.hadoop.io.NullWritable",
    valueClass="org.elasticsearch.hadoop.mr.LinkedMapWritable",
    conf={
        "es.resource": "some-log/doc",
        "es.nodes": "192.168.1.25",
        "es.port": "9200"
    })

我已经在运行nb的主机上安装了spark和jupyter笔记本。spark-defaults.conf文件通过以下方式加载“elasticsearch-hadoop-6.4.0.jar”： spark.jars /opt/maya/es-hadoop/elasticsearch-hadoop-6.4.0.jar 我可以连接到es示例并使用其他工具（如 elasticsearch-py ，的 Test 应用程序显示在spark主用户界面中。但是，当我执行上面的代码时，我不断得到以下错误：

---------------------------------------------------------------------------
    Py4JJavaError                             Traceback (most recent call last)
    <ipython-input-5-c990f37c388b> in <module>
          6         "es.resource": "logs-dfir-winevent-security-*/doc",
          7         "es.nodes": "192.168.248.131",
    ----> 8         "es.port": "9200"
          9     })
         10 #es_rdd.first()

    /opt/anaconda/lib/python3.6/site-packages/pyspark/context.py in newAPIHadoopRDD(self, inputFormatClass, keyClass, valueClass, keyConverter, valueConverter, conf, batchSize)
        715         jrdd = self._jvm.PythonRDD.newAPIHadoopRDD(self._jsc, inputFormatClass, keyClass,
        716                                                    valueClass, keyConverter, valueConverter,
    --> 717                                                    jconf, batchSize)
        718         return RDD(jrdd, self)
        719 

    /opt/anaconda/lib/python3.6/site-packages/py4j/java_gateway.py in __call__(self, *args)
       1255         answer = self.gateway_client.send_command(command)
       1256         return_value = get_return_value(
    -> 1257             answer, self.gateway_client, self.target_id, self.name)
       1258 
       1259         for temp_arg in temp_args:

    /opt/anaconda/lib/python3.6/site-packages/py4j/protocol.py in get_return_value(answer, gateway_client, target_id, name)
        326                 raise Py4JJavaError(
        327                     "An error occurred while calling {0}{1}{2}.\n".
    --> 328                     format(target_id, ".", name), value)
        329             else:
        330                 raise Py4JError(

Py4JJavaError: An error occurred while calling z:org.apache.spark.api.python.PythonRDD.newAPIHadoopRDD.
: java.lang.ClassNotFoundException: org.elasticsearch.hadoop.mr.LinkedMapWritable
    at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
    at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
    at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
    at java.lang.Class.forName0(Native Method)
    at java.lang.Class.forName(Class.java:348)
    at org.apache.spark.util.Utils$.classForName(Utils.scala:238)
    at org.apache.spark.api.python.PythonRDD$.newAPIHadoopRDDFromClassNames(PythonRDD.scala:302)
    at org.apache.spark.api.python.PythonRDD$.newAPIHadoopRDD(PythonRDD.scala:286)
    at org.apache.spark.api.python.PythonRDD.newAPIHadoopRDD(PythonRDD.scala)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:498)
    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:238)
    at java.lang.Thread.run(Thread.java:748)

我已经搜索过了，看不到错误是在代码本身，我有一种感觉，这个问题更多地与运行jupyter笔记本的主机内的错误spark配置有关。任何洞察都将不胜感激！