kafka（十二）：Kafka和flume整合

一、实现功能

flume监控一个日志文件，并将数据传送给kafka，然后另外一个flume从kafka获得数据。

二、实现步骤

1.环境

flume1.6.0

kafka_2.10-0.8.2.1

zookeeper3.4.5

2.flume监控日志，并且传送给kafka的配置文件test1_1.6.conf

【参考：http://archive.cloudera.com/cdh5/cdh/5/flume-ng-1.6.0-cdh5.7.0/FlumeUserGuide.html】

# Name the components on this agent
a1.sources = r1
a1.sinks = k1
a1.channels = c1

# Describe/configure the source
a1.sources.r1.type = exec
a1.sources.r1.command = tail -f  /opt/datas/access.log
a1.sources.r1.channels = c1

# Use a channel which buffers events in memory
a1.channels.c1.type = memory
a1.channels.c1.capacity = 1000
a1.channels.c1.transactionCapacity = 100


# Describe the sink
a1.sinks.k1.type = org.apache.flume.sink.kafka.KafkaSink
a1.sinks.k1.topic = beifeng1
a1.sinks.k1.brokerList = bigdata.ibeifeng.com:9092,bigdata.ibeifeng.com:9093
a1.sinks.k1.requiredAcks = 1
a1.sinks.k1.batchSize = 20
a1.sinks.k1.channel = c1

3.flume从kafka获得消费数据配置文件test2_1.6.conf 

【参考：http://archive.cloudera.com/cdh5/cdh/5/flume-ng-1.6.0-cdh5.7.0/FlumeUserGuide.html】

# Name the components on this agent

a2.sources = r1
a2.sinks = k1
a2.channels = c1

#Configure of Flume Agent Source
a2.sources.r1.type = org.apache.flume.source.kafka.KafkaSource
a2.sources.r1.channels = c1
a2.sources.r1.topic= beifeng1
a2.sources.r1.groupId = flume
a2.sources.r1.zookeeperConnect = localhost:2181/kafka08


#Configure of Flume Agent Source
a2.channels.c1.type = memory


# Configure of Flume Agent Sink=>Kafka Sink
a2.sinks.k1.type=logger
a2.sinks.k1.channel=c1

4.kafka创建topic：beifeng1

bin/kafka-topics.sh --create --topic beifeng1 --zookeeper bigdata.ibeifeng.com:2181/kafka08 --partitions 5 --replication-factor 2 

三、测试

1.启动zk：     

cd /opt/modules/zookeeper-3.4.5
bin/zkServer.sh start

2.启动kafka

bin/kafka-server-start.sh config/server.properties
bin/kafka-server-start.sh config/server1.properties

3.启动监控日志并传递kafka的flume服务test1_1.6.conf

bin/flume-ng agent --name a1 --conf ./conf/ --conf-file ./conf/test1_1.6.conf -Dflume.root.logger=INFO,console

4.启动从kafka获得信息的flume服务test2_1.6.conf

bin/flume-ng agent --name a2 --conf ./conf/ --conf-file ./conf/test2_1.6.conf -Dflume.root.logger=INFO,console

5.启动kafka消费者

bin/kafka-console-consumer.sh --topic beifeng1 --zookeeper bigdata.ibeifeng.com:2181/kafka08

6.输入数据到检测文件

            echo "liuming gerry tom" >> /opt/datas/access.log

（测试成功！）