Spark streaming 整合Kafka统计词频

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Spark streaming 整合Kafka基于（Receiver-based Approach）统计词频

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首先，启动zookeeper

然后，启动kafka

创建topic

启动生产者

启动消费者

开发Spark streaming 整合Kafka统计词频的程序

from pyspark import SparkContext
from pyspark.streaming import StreamingContext
from pyspark.streaming.kafka import KafkaUtils

'''Spark streaming 整合Kafka统计词频'''

sc = SparkContext(appName="KafkaReceiverWordCount",master="local[2]")
ssc = StreamingContext(sc,5)

kafkastream = KafkaUtils.createStream(ssc=ssc,zkQuorum="hadoop001:2181",topics={
     'kafka_streaming_topic':1},groupId="test")

counts = kafkastream.map(lambda x:x[1])\
    .flatMap(lambda line:line.split(" "))\
    .map(lambda word:(word,1))\
    .reduceByKey(lambda a,b:a+b)

counts.pprint()

ssc.start()
ssc.awaitTermination()

启动pyspark

将开发好的代码粘贴到这，开始执行，消费者结果

查看spark streaming执行结果

执行成功。

## Spark Streaming整合Kafka基于Direct Approach (No Receivers)统计词频

启动zookeeper，启动生产者，消费者步骤同上，开发spark streaming程序

#!/usr/bin/python
#coding=utf-8

from pyspark import SparkContext
from pyspark.streaming import StreamingContext
from pyspark.streaming.kafka import KafkaUtils

'''Spark Streaming整合Kafka基于Direct Approach (No Receivers)统计词频'''

sc = SparkContext(master="local[2]",appName="KafkaDirectWordCount")
ssc = StreamingContext(sc,10)

topics = ["kafka_streaming_topic"]

kafkaDStream = KafkaUtils.createDirectStream(ssc=ssc,\
                                      topics=topics,\
                                      kafkaParams={
     "bootstrap.servers":"hadoop001:9092"})

wordCounts = kafkaDStream.map(lambda x: x[1])\
    .flatMap(lambda line: line.split(" "))\
    .map(lambda word: (word,1))\
    .reduceByKey(lambda a,b: a+b)


wordCounts.pprint()

ssc.start()
ssc.awaitTermination()

使用spark-submit提交程序：

./spark-submit \
--master local[2] \
--num-executors 2 \
--executor-memory 1G \
/usr/soft/script/python/KafkaDirectWordCount.py

在生产者中，输入数据进行测试

查看结果，正是我们想要的

这是spark streaming 整合kafka的两种方式，在spark1.3之后spark streaming已经支持Direct Approach (No Receivers)的java API与scala API，在spark1.4之后就支持python API。实际生产环境中，大多数情况我们使用的也是Direct Approach (No Receivers)这种方式。