KafkaEagle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。

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。

链接：https://pan.baidu.com/s/1fRHTwUgJciAT8g8IZhdrFQ
提取码：rn0z

这里是 mysql 安装文件，有需要的可以自取，然后进行安装。

2、Kafka环境准备

1、关闭Kafka集群

[hui@hadoop103 ~]$ kk.sh stop
---- stop hadoop103 kafka ---
---- stop hadoop104 kafka ---
---- stop hadoop105 kafka ---

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

将内容

if [ "x$KAFKA_HEAP_OPTS" = "x" ]; then
    export KAFKA_HEAP_OPTS="-Xmx1G -Xms1G"
fi

修改为

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

[hui@hadoop103 bin]$ sxync.sh kafka-server-start.sh
fname=kafka-server-start.sh
pdir=/opt/module/kafka/bin
------------------- hadoop104 --------------
sending incremental file list
kafka-server-start.sh

sent 975 bytes  received 43 bytes  2036.00 bytes/sec
total size is 1584  speedup is 1.56
------------------- hadoop105 --------------
sending incremental file list
kafka-server-start.sh

sent 975 bytes  received 43 bytes  2036.00 bytes/sec
total size is 1584  speedup is 1.56

3、Kafka-Eagle安装

官网：https://www.kafka-eagle.org/

解压安装

[hui@hadoop103 software]$ tar -zxvf kafka-eagle-bin-2.0.8.tar.gz 
kafka-eagle-bin-2.0.8/
kafka-eagle-bin-2.0.8/efak-web-2.0.8-bin.tar.gz
[hui@hadoop103 software]$ ll
总用量 811296
-rw-r--r-- 1 hui wd  51776645 12月 17 2020 canal.deployer-1.1.4.tar.gz
-rw-r--r-- 1 hui wd 333549393 3月   7 2021 flink-1.12.0-bin-scala_2.11.tgz
-rw-r--r-- 1 hui wd  86486610 2月   9 15:23 kafka_2.12-3.0.0.tgz
drwxr-xr-x 2 hui wd      4096 10月 13 00:00 kafka-eagle-bin-2.0.8
-rw-r--r-- 1 hui wd  81074069 2月   9 15:23 kafka-eagle-bin-2.0.8.tar.gz
-rw-r--r-- 1 hui wd  57452767 12月 17 2020 maxwell-1.25.0.tar.gz
drwxr-xr-x 6 hui wd      4096 3月   4 2016 scala-2.11.8
-rw-r--r-- 1 hui wd 220400553 3月  13 05:55 spark-3.0.3-bin-hadoop2.7.tgz
[hui@hadoop103 software]$ cd  kafka-eagle-bin-2.0.8
[hui@hadoop103 kafka-eagle-bin-2.0.8]$ ll
总用量 79164
-rw-r--r-- 1 hui wd 81062577 10月 13 00:00 efak-web-2.0.8-bin.tar.gz
[hui@hadoop103 kafka-eagle-bin-2.0.8]$ tar -zxvf efak-web-2.0.8-bin.tar.gz -C /opt/module/

修改名称

[hui@hadoop103 module]$ mv efak-web-2.0.8 efak
[hui@hadoop103 module]$ cd efak/

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

hui@hadoop103 efak]$ vim /opt/module/efak/conf/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=hadoop103:2181,hadoop104:2181,hadoop105:2181
#cluster2.zk.list=xdn10:2181,xdn11:2181,xdn12:2181

######################################
# 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
######################################
cluster1.efak.offset.storage=kafka
#cluster2.efak.offset.storage=zk

######################################
# 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
######################################
efak.driver=org.sqlite.JDBC
efak.url=jdbc:sqlite:/hadoop/kafka-eagle/db/ke.db
efak.username=root
efak.password=www.kafka-eagle.org

######################################
# kafka mysql jdbc driver address
######################################
efak.driver=com.mysql.jdbc.Driver
efak.url=jdbc:mysql://hadoop103:3306/test?useUnicode=true&characterEncoding=UTF-8&zeroDateTimeBehavior=convertToNull
efak.username=root
efak.password=123465

添加环境变量

[hui@hadoop103 efak]$ sudo vim /etc/profile
# kafkaEFAK
export KE_HOME=/opt/module/efak
export PATH=$PATH:$KE_HOME/bin
[hui@hadoop103 efak]$ source /etc/profile

启动 zk & kk

[hui@hadoop103 efak]$ jps.sh
------------------- hui@hadoop103 --------------
4448 Kafka
4545 Jps
2487 QuorumPeerMain
------------------- hui@hadoop104 --------------
4231 Jps
4141 Kafka
2303 QuorumPeerMain
------------------- hui@hadoop105 --------------
4193 Jps
2278 QuorumPeerMain
4104 Kafka

启动监控程序

[hui@hadoop103 efak]$ bin/ke.sh start
Version 2.0.8 -- Copyright 2016-2021
*******************************************************************
* EFAK Service has started success.
* Welcome, Now you can visit 'http://192.168.124.130:8048'
* Account:admin ,Password:123456
*******************************************************************
* <Usage> ke.sh [start|status|stop|restart|stats] </Usage>
* <Usage> https://www.kafka-eagle.org/ </Usage>
*******************************************************************

http://192.168.124.130:8048/

通过提示的地址进行访问监控页面

关闭监控程序 

bin/ke.sh stop

4、Kafka-Eagle页面操作