Kafka-Eagle框架可以监控Kafka集群的整体运行情况，在生产环境中经常使用。
一、MySQL环境准备
Kafka-Eagle的安装依赖于MySQL，MySQL主要用来存储可视化展示的数据。如果集群中之前安装过MySQL可以跨过该步。
二、Kafka环境准备
关闭Kafka集群
[bigdata@hadoop102 kafka]$ kf.sh stop
在/home/bigdata/bin目录下kf.sh脚本文件如下：
#! /bin/bash
case $1 in
"start"){
for i in hadoop102 hadoop103 hadoop104
do
echo " --------启动 $i Kafka-------"
ssh $i "/opt/module/kafka_2.12-3.0.0/bin/kafka-server-start.sh -daemon /opt/module/kafka_2.12-3.0.0/config/server.properties"
done
};;
"stop"){
for i in hadoop102 hadoop103 hadoop104
do
echo " --------停止 $i Kafka-------"
ssh $i "/opt/module/kafka_2.12-3.0.0/bin/kafka-server-stop.sh "
done
};;
esac
修改/opt/module/kafka/bin/kafka-server-start.sh
[bigdata@hadoop102 kafka]$ vim bin/kafka-server-start.sh
修改如下参数值：
if [ "x$KAFKA_HEAP_OPTS" = "x" ]; then
export KAFKA_HEAP_OPTS="-Xmx1G -Xms1G"
fi
为
if [ "x$KAFKA_HEAP_OPTS" = "x" ]; then
export KAFKA_HEAP_OPTS="-server -Xms2G -Xmx2G -XX:PermSize=128m -XX:+UseG1GC -XX:MaxGCPauseMillis=200 -XX:ParallelGCThreads=8 -XX:ConcGCThreads=5 -XX:InitiatingHeapOccupancyPercent=70"
export JMX_PORT="9999"
#export KAFKA_HEAP_OPTS="-Xmx1G -Xms1G"
fi
注意：修改之后在启动Kafka之前要分发到其他节点。
[bigdata@hadoop102 bin]$ xsync kafka-server-start.sh
在/home/bigdata/bin目录下xsync文件代码如下：
#!/bin/bash
#1. 判断参数个数
if [ $# -lt 1 ]
then
echo Not Enough Arguement!
exit;
fi
#2. 遍历集群所有机器
for host in hadoop102 hadoop103 hadoop104
do
echo ==================== $host ====================
#3. 遍历所有目录，挨个发送
for file in $@
do
#4. 判断文件是否存在
if [ -e $file ]
then
#5. 获取父目录
pdir=$(cd -P $(dirname $file); pwd)
#6. 获取当前文件的名称
fname=$(basename $file)
ssh $host "mkdir -p $pdir"
rsync -av $pdir/$fname $host:$pdir
else
echo $file does not exists!
fi
done
done
三、Kafka-Eagle安装
官网：https://www.kafka-eagle.org/
上传压缩包kafka-eagle-bin-2.0.8.tar.gz到集群 /opt/software目录
解压到本地
[bigdata@hadoop102 software]$ tar -zxvf kafka-eagle-bin-2.0.8.tar.gz
进入刚才解压的目录
[bigdata@hadoop102 kafka-eagle-bin-2.0.8]$ ll
总用量 79164
-rw-rw-r--. 1 bigdata bigdata 81062577 10月 13 00:00 efak-web-2.0.8-bin.tar.gz
将efak-web-2.0.8-bin.tar.gz解压至/opt/module
[bigdata@hadoop102 kafka-eagle-bin-2.0.8]$ tar -zxvf efak-web-2.0.8-bin.tar.gz -C /opt/module/
修改名称
[bigdata@hadoop102 module]$ mv efak-web-2.0.8/ efak
修改配置文件 /opt/module/efak/conf/system-config.properties
[bigdata@hadoop102 conf]$ vim system-config.properties
######################################
# multi zookeeper & kafka cluster list
# Settings prefixed with 'kafka.eagle.' will be deprecated, use 'efak.' instead
######################################
efak.zk.cluster.alias=cluster1
cluster1.zk.list=hadoop102:2181,hadoop103:2181,hadoop104:2181/kafka
######################################
# zookeeper enable acl
######################################
cluster1.zk.acl.enable=false
cluster1.zk.acl.schema=digest
cluster1.zk.acl.username=test
cluster1.zk.acl.password=test123
######################################
# broker size online list
######################################
cluster1.efak.broker.size=20
######################################
# zk client thread limit
######################################
kafka.zk.limit.size=32
######################################
# EFAK webui port
######################################
efak.webui.port=8048
######################################
# kafka jmx acl and ssl authenticate
######################################
cluster1.efak.jmx.acl=false
cluster1.efak.jmx.user=keadmin
cluster1.efak.jmx.password=keadmin123
cluster1.efak.jmx.ssl=false
cluster1.efak.jmx.truststore.location=/data/ssl/certificates/kafka.truststore
cluster1.efak.jmx.truststore.password=ke123456
######################################
# kafka offset storage
######################################
# offset保存在kafka
cluster1.efak.offset.storage=kafka
######################################
# kafka jmx uri
######################################
cluster1.efak.jmx.uri=service:jmx:rmi:///jndi/rmi://%s/jmxrmi
######################################
# kafka metrics, 15 days by default
######################################
efak.metrics.charts=true
efak.metrics.retain=15
######################################
# kafka sql topic records max
######################################
efak.sql.topic.records.max=5000
efak.sql.topic.preview.records.max=10
######################################
# delete kafka topic token
######################################
efak.topic.token=keadmin
######################################
# kafka sasl authenticate
######################################
cluster1.efak.sasl.enable=false
cluster1.efak.sasl.protocol=SASL_PLAINTEXT
cluster1.efak.sasl.mechanism=SCRAM-SHA-256
cluster1.efak.sasl.jaas.config=org.apache.kafka.common.security.scram.ScramLoginModule required username="kafka" password="kafka-eagle";
cluster1.efak.sasl.client.id=
cluster1.efak.blacklist.topics=
cluster1.efak.sasl.cgroup.enable=false
cluster1.efak.sasl.cgroup.topics=
cluster2.efak.sasl.enable=false
cluster2.efak.sasl.protocol=SASL_PLAINTEXT
cluster2.efak.sasl.mechanism=PLAIN
cluster2.efak.sasl.jaas.config=org.apache.kafka.common.security.plain.PlainLoginModule required username="kafka" password="kafka-eagle";
cluster2.efak.sasl.client.id=
cluster2.efak.blacklist.topics=
cluster2.efak.sasl.cgroup.enable=false
cluster2.efak.sasl.cgroup.topics=
######################################
# kafka ssl authenticate
######################################
cluster3.efak.ssl.enable=false
cluster3.efak.ssl.protocol=SSL
cluster3.efak.ssl.truststore.location=
cluster3.efak.ssl.truststore.password=
cluster3.efak.ssl.keystore.location=
cluster3.efak.ssl.keystore.password=
cluster3.efak.ssl.key.password=
cluster3.efak.ssl.endpoint.identification.algorithm=https
cluster3.efak.blacklist.topics=
cluster3.efak.ssl.cgroup.enable=false
cluster3.efak.ssl.cgroup.topics=
######################################
# kafka sqlite jdbc driver address
######################################
# 配置mysql连接
efak.driver=com.mysql.jdbc.Driver
efak.url=jdbc:mysql://hadoop102:3306/ke?useUnicode=true&characterEncoding=UTF-8&zeroDateTimeBehavior=convertToNull
efak.username=root
efak.password=root
######################################
# kafka mysql jdbc driver address
######################################
#efak.driver=com.mysql.cj.jdbc.Driver
#efak.url=jdbc:mysql://127.0.0.1:3306/ke?useUnicode=true&characterEncoding=UTF-8&zeroDateTimeBehavior=convertToNull
#efak.username=root
#efak.password=123456
添加环境变量
[bigdata@hadoop102 conf]$ sudo vim /etc/profile.d/my_env.sh
# kafkaEFAK
export KE_HOME=/opt/module/efak
export PATH=$PATH:$KE_HOME/bin
注意：source /etc/profile
[bigdata@hadoop102 conf]$ source /etc/profile
启动
注意：启动之前需要先启动ZK以及KAFKA。
[bigdata@hadoop102 kafka]$ kf.sh start
启动efak
[bigdata@hadoop102 efak]$ bin/ke.sh start
Version 2.0.8 -- Copyright 2016-2021
*****************************************************************
* EFAK Service has started success.
* Welcome, Now you can visit 'http://192.168.10.102:8048'
* Account:admin ,Password:123456
*****************************************************************
* <Usage> ke.sh [start|status|stop|restart|stats] </Usage>
* <Usage> https://www.kafka-eagle.org/ </Usage>
*****************************************************************
说明：如果停止efak，执行命令。
[bigdata@hadoop102 efak]$ bin/ke.sh stop
四、Kafka-Eagle页面操作
登录页面查看监控数据
http://192.168.10.102:8048/
五、总结
Kafka Eagle 提供了完善的管理页面，很方便的去管理和可视化Kafka集群的一些信息，例如Broker详情、性能指标趋势、Topic集合、消费者信息等，选它准没错，赶快安装试试吧。