我正在jupyter笔记本上使用python3.6.7、pyspark2.3.0和spark2.3.0从kafka提取tweet，并使用spark流处理它们。在上运行以下代码：

import os
os.environ['PYSPARK_SUBMIT_ARGS'] = '--packages org.apache.spark:spark-streaming-kafka-0-8_2.11:2.0.2 pyspark-shell'

from pyspark import SparkContext

# Spark Streaming

from pyspark.streaming import StreamingContext

# Kafka

from pyspark.streaming.kafka import KafkaUtils

# json parsing

import json
import logging

sc = SparkContext(appName="PythonSparkStreamingKafka_RM_01")
sc.setLogLevel("INFO")

ssc = StreamingContext(sc, 60)

logging.getLogger("py4j").setLevel(logging.ERROR)

kafkaStream = KafkaUtils.createStream(ssc, 'cdh57-01-node-01.moffatt.me:2181', 'spark-streaming', {'kafkaspark':1})

我得到以下错误：

ERROR:root:Exception while sending command.
Traceback (most recent call last):
  File "C:\Sentiment_Analysis\spark\python\lib\py4j-0.10.6-src.zip\py4j\java_gateway.py", line 1062, in send_command
    raise Py4JNetworkError("Answer from Java side is empty")
py4j.protocol.Py4JNetworkError: Answer from Java side is empty

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "C:\Sentiment_Analysis\spark\python\lib\py4j-0.10.6-src.zip\py4j\java_gateway.py", line 908, in send_command
    response = connection.send_command(command)
  File "C:\Sentiment_Analysis\spark\python\lib\py4j-0.10.6-src.zip\py4j\java_gateway.py", line 1067, in send_command
    "Error while receiving", e, proto.ERROR_ON_RECEIVE)
py4j.protocol.Py4JNetworkError: Error while receiving
---------------------------------------------------------------------------
Py4JError                                 Traceback (most recent call last)
<ipython-input-7-a7a877501187> in <module>
----> 1 kafkaStream = KafkaUtils.createStream(ssc, 'cdh57-01-node-01.moffatt.me:2181', 'spark-streaming', {'kafkaspark':1})

C:\Sentiment_Analysis\spark\python\pyspark\streaming\kafka.py in createStream(ssc, zkQuorum, groupId, topics, kafkaParams, storageLevel, keyDecoder, valueDecoder)
     77         jlevel = ssc._sc._getJavaStorageLevel(storageLevel)
     78         helper = KafkaUtils._get_helper(ssc._sc)
---> 79         jstream = helper.createStream(ssc._jssc, kafkaParams, topics, jlevel)
     80         ser = PairDeserializer(NoOpSerializer(), NoOpSerializer())
     81         stream = DStream(jstream, ssc, ser)

C:\Sentiment_Analysis\spark\python\lib\py4j-0.10.6-src.zip\py4j\java_gateway.py in __call__(self, *args)
   1158         answer = self.gateway_client.send_command(command)
   1159         return_value = get_return_value(
-> 1160             answer, self.gateway_client, self.target_id, self.name)
   1161 
   1162         for temp_arg in temp_args:

C:\Sentiment_Analysis\spark\python\lib\py4j-0.10.6-src.zip\py4j\protocol.py in get_return_value(answer, gateway_client, target_id, name)
    326             raise Py4JError(
    327                 "An error occurred while calling {0}{1}{2}".
--> 328                 format(target_id, ".", name))
    329     else:
    330         type = answer[1]

Py4JError: An error occurred while calling o32.createStream

我不知道如何解决这个错误？我是Spark和Kafka的初学者，所以有人能简单地向我解释一下如何摆脱这个吗？我该怎么办？