一、上传flume并解压

cd /opt/install

rz

tar -zxvf apache-flume-1.6.0-bin.tar.gz -C /opt/software

mv apache-flume-1.6.0-bin.tar.gz flume-1.6.0

二、添加环境变量

vim vim /etc/profile

export FLUME_HOME=/opt/software/flume-1.6.0
export PATH=$PATH:$FLUME_HOME/bin

保存

source /etc/profile

三、修改配置文件

cd /opt/software/flume-1.6.0/conf

scp flume-env.sh.template flume.env.sh

vim flume.env.sh

export JAVA_HOME=/opt/software/jdk1.8

四、开始集成操作的配置文件

cd /opt/software/flume-1.6.0/conf

vim flume_kafka.conf

a1.sources = r1

a1.channels = c1

a1.sinks = k1

 

a1.sources.r1.type = exec

#tail -F 根据文件名进行追踪

a1.sources.r1.command = tail -F /tmp/logs/update.log

#把source和channel关联在一起
a1.sources.r1.channels = c1

 

a1.channels.c1.type=memory

a1.channels.c1.capacity=10000

a1.channels.c1.transactionCapacity=100

 

a1.sinks.k1.type = org.apache.flume.sink.kafka.KafkaSink

#指定kafka类型

a1.sinks.k1.topic = update_log

#kafka集群地址

a1.sinks.k1.brokerList = hdp01:9092,hdp02:9092,hdp03:9092

a1.sinks.k1.requiredAcks = 1

a1.sinks.k1.batchSize = 20

a1.sinks.k1.channel = c1

五、准备数据

1、创建/tmp/logs/update.log文件

cd /tmp/logs

vim update.log

2、创建往update.log日志文件添加数据脚本 create_log.sh 文件

cd /tmp

vim create_log.sh

#!/bin/bash
while true

do

echo "yangwu_love_wangbaoqiang" >> /tmp/logs/update.log;

time3=$(date "+%Y-%m-%d %H:%M:%S")
echo $time3 >> /tmp/logs/update.log;

sleep 0.5;

done

3、创建update_log的topic

kafka-topics.sh --create --zookeeper hdp01:2181  --partitions 3 --replication-factor 2 --topic update_log

六、启动

1、进入flume安装目录下启动flume。（kafka.conf是flume集成kafka的配置内容）

flume-ng agent -c conf -f conf/flume_kafka.conf -n a1  -Dflume.root.logger=INFO,console

2、启动模拟生产日志数据脚本

[root@Master tmp]# sh create_log.sh

3、在kafka安装的bin目录下启动kafka消费者查看数据

kafka-console-consumer.sh --from-beginning  --zookeeper hdp01:2181 --topic update_log