Kafka-Eagle 监控

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。

6.1 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。

6.2 Kafka 环境准备

1）关闭 Kafka 集群

[atguigu@hadoop102 scripts]$ sh kf.sh stop
 --------停止 hadoop102 Kafka-------
 --------停止 hadoop103 Kafka-------
 --------停止 hadoop104 Kafka-------

2）修改/opt/module/kafka/bin/kafka-server-start.sh 命令中

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 之前要分发之其他节点

[atguigu@hadoop102 scripts]$ sh xsync.sh /opt/module/kafka/bin/kafka-server-start.sh 
==================== hadoop102 ====================
sending incremental file list

sent 78 bytes  received 12 bytes  180.00 bytes/sec
total size is 1,587  speedup is 17.63
==================== hadoop103 ====================
sending incremental file list
kafka-server-start.sh

sent 1,016 bytes  received 47 bytes  708.67 bytes/sec
total size is 1,587  speedup is 1.49
==================== hadoop104 ====================
sending incremental file list
kafka-server-start.sh

sent 1,016 bytes  received 47 bytes  2,126.00 bytes/sec
total size is 1,587  speedup is 1.49

6.3 Kafka-Eagle 安装

0）官网：https://www.kafka-eagle.org/

1）上传压缩包 kafka-eagle-bin-2.1.0.tar.gz 到集群/opt/software 目录

2）解压到本地

[atguigu@hadoop102 software]$ tar -zxvf kafka-eagle-bin-2.1.0.tar.gz

3）进入刚才解压的目录

[atguigu@hadoop102 kafka-eagle-bin-2.1.0]$ ll
总用量 81544
-rw-rw-r--. 1 atguigu atguigu 83499440 4月   3 13:28 efak-web-2.1.0-bin.tar.gz

4）将 efak-web-2.0.8-bin.tar.gz 解压至/opt/module

[atguigu@hadoop102 kafka-eagle-bin-2.1.0]$ tar -zxvf efak-web-2.1.0-bin.tar.gz -C /opt/module/

5）修改名称

[atguigu@hadoop102 module]$ mv efak-web-2.1.0/ efak

6）修改配置文件 /opt/module/efak/conf/system-config.properties

[atguigu@hadoop102 conf]$ vim system-config.properties

efak.zk.cluster.alias=cluster1
cluster1.zk.list=hadoop102:2181,hadoop103:2181,hadoop104:2181/kafka

# offset 保存在 kafka
cluster1.efak.offset.storage=kafka

# 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=000000

7）添加环境变量

[atguigu@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

[atguigu@hadoop102 conf]$ source /etc/profile

8）启动

注意：启动之前需要先启动 ZK 以及 KAFKA。

（1）启动 efak

[atguigu@hadoop102 bin]$ sh ke.sh start
Welcome to
    ______    ______    ___     __ __
   / ____/   / ____/   /   |   / //_/
  / __/     / /_      / /| |  / ,<   
 / /___    / __/     / ___ | / /| |  
/_____/   /_/       /_/  |_|/_/ |_|  
( Eagle For Apache Kafka® )

Version 2.1.0 -- Copyright 2016-2022
*******************************************************************
* 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>
*******************************************************************