flume 到 kafka整合

fflume 版本为 1.6 cdh 5.13 注意启动flume是 --name 要和配置文件的 前缀一直 否知启动失败

flume 目录为

 /opt/cloudera/parcels/CDH/lib/flume-ng

flume 配置文件exec-memory-avro.conf

vim /opt/test/exec-memory-avro.conf

a1.sources = r1
a1.sinks = k1
a1.channels = c1

a1.sources.r1.type = exec
a1.sources.r1.command = tail -F /opt/test/data.log
a1.sources.r1.shell = /bin/sh -c

a1.sinks.k1.type = avro
a1.sinks.k1.hostname = udap69a165
a1.sinks.k1.port = 44444

a1.channels.c1.type = memory
a1.sources.r1.channels = c1
a1.sinks.k1.channel = c1

flume 配置文件avro-memory-kafka.conf

vim /opt/test/avro-memory-kafka.conf

avro-memory-kafka.sources = avro-source
avro-memory-kafka.sinks = kafka-sink
avro-memory-kafka.channels = memory-channel

avro-memory-kafka.sources.avro-source.type = avro
avro-memory-kafka.sources.avro-source.bind = udap69a165
avro-memory-kafka.sources.avro-source.port = 44444

avro-memory-kafka.sinks.kafka-sink.type = org.apache.flume.sink.kafka.KafkaSink
avro-memory-kafka.sinks.kafka-sink.kafka.bootstrap.servers = udap69a166:9092
avro-memory-kafka.sinks.kafka-sink.topic = hh_test
avro-memory-kafka.sinks.kafka-sink.batchSize = 5
avro-memory-kafka.sinks.kafka-sink.requiredAcks = 1

avro-memory-kafka.channels.memory-channel.type = memory

avro-memory-kafka.sources.avro-source.channels = memory-channel
avro-memory-kafka.sinks.kafka-sink.channel = memory-channel

进入到flume 的bin目录下，启动flume agent

./flume-ng agent --name a1 --conf-file /opt/test/exec-memory-avro.conf -Dflume.root.logger=INFO,console

./flume-ng agent --name avro-memeory-kafka --conf-file /opt/test/avro-memeory-kafka.conf -Dflume.root.logger=INFO,console

查看日志是否启动成功，然后干掉程序，选择后台启动

jps -m

nohup sh flume-ng agent --name a1 --conf-file /opt/test/exec-memory-avro.conf -Dflume.root.logger=INFO,console &

nohup sh flume-ng agent --name avro-memeory-kafka --conf-file /opt/test/avro-memeory-kafka.conf -Dflume.root.logger=INFO,console &

启动kafka消费的脚本

kafka-console-consumer --zookeeper udap69a166:2181/kafka --topic hh_test

写入一些数据 

echo "lisi" >> /opt/test/data.log

echo "wangwu" >> /opt/test/data.log

echo "zhangdan" >> /opt/test/data.log

查看kafka 消费者是否消费到数据 问题解决！