我刚开始测试 Kafka Stream 至 Spark 使用 Pyspark 图书馆。
我一直在运行整个安装程序 Jupyter Notebook . 我正试图从 Twitter Streaming .
twitter流代码：

import json
import tweepy
from uuid import uuid4
import time
from kafka import KafkaConsumer
from kafka import KafkaProducer
auth = tweepy.OAuthHandler("key", "key")
auth.set_access_token("token", "token")
api = tweepy.API(auth, wait_on_rate_limit=True, retry_count=3, retry_delay=5,
                 retry_errors=set([401, 404, 500, 503]))
class CustomStreamListener(tweepy.StreamListener):
    def __init__(self, api):
        self.api = api
        super(tweepy.StreamListener, self).__init__()
    def on_data(self, tweet):
        print tweet
        # Kafka Producer to send data to twitter topic
        producer.send('twitter', json.dumps(tweet))
    def on_error(self, status_code):
        print status_code
        return True # Don't kill the stream
    def on_timeout(self):
        print 'on_timeout'
        return True # Don't kill the stream
producer = KafkaProducer(bootstrap_servers='localhost:9092')
sapi = tweepy.streaming.Stream(auth, CustomStreamListener(api))
sapi.filter(track=["#party"])

Spark流代码

from pyspark import SparkContext
from pyspark.streaming import StreamingContext
from pyspark.streaming.kafka import KafkaUtils
sc = SparkContext(appName="PythonSparkStreamingKafka_RM_01").getOrCreate()
sc.setLogLevel("WARN")
streaming_context = StreamingContext(sc, 10)
kafkaStream = KafkaUtils.createStream(streaming_context, 'localhost:2181', 'spark-streaming', {'twitter': 1})  
parsed = kafkaStream.map(lambda v: v)
parsed.count().map(lambda x:'Tweets in this batch: %s' % x).pprint()
streaming_context.start()
streaming_context.awaitTermination()

打印输出：

时间：2017-09-30 11:21:00

时间：2017-09-30 11:21:10

时间：2017-09-30 11:21:20

我做错了什么？