kafka3.0集群搭建过程

作者: 冬天里的懒喵 | 来源:发表于2021-11-03 19:48 被阅读0次

1.环境说明

服务器资源规划如下表:

IP	hostname	部署资源
192.168.162.201	m162p201	zookeeper,kafka
192.168.162.202	m162p202	zookeeper,kafka
192.168.162.203	m162p203	zookeeper,kafka

操作系统版本(三个节点均相同)：

[root@m162p201 software]# lsb_release -a
LSB Version:    :core-4.1-amd64:core-4.1-noarch:cxx-4.1-amd64:cxx-4.1-noarch:desktop-4.1-amd64:desktop-4.1-noarch:languages-4.1-amd64:languages-4.1-noarch:printing-4.1-amd64:printing-4.1-noarch
Distributor ID: CentOS
Description:    CentOS Linux release 7.7.1908 (Core)
Release:        7.7.1908
Codename:       Core

2.环境准备

2.1 依赖软件下载

计划安装的软件：

软件	版本	安装节点	下载地址
jdk	jdk-8u311-linux-x64.rpm	m162p201,m162p202,m162p203	https://www.oracle.com/java/technologies/downloads/#java8
zookeeper	apache-zookeeper-3.5.6-bin.tar.gz	m162p201,m162p202,m162p203	https://archive.apache.org/dist/zookeeper/zookeeper-3.5.6/
kafka	kafka_2.12-3.0.0.tgz	m162p201,m162p202,m162p203	https://kafka.apache.org/downloads#3.0.0
eagle	kafka-eagle-bin-1.4.8.tar.gz	m162p201	http://download.kafka-eagle.org/

将上述软件上传到对应服务器的/opt/software目录。

2.2 jdk安装

由于下载的是rpm包。因此直接执行rpm安装命令即可：

[root@m161p114 software]# rpm -ivh jdk-8u311-linux-x64.rpm 
warning: jdk-8u311-linux-x64.rpm: Header V3 RSA/SHA256 Signature, key ID ec551f03: NOKEY
Preparing...                          ################################# [100%]
Updating / installing...
   1:jdk1.8-2000:1.8.0_311-fcs        ################################# [100%]
Unpacking JAR files...
    tools.jar...
    plugin.jar...
    javaws.jar...
    deploy.jar...
    rt.jar...
    jsse.jar...
    charsets.jar...
    localedata.jar...
[root@m161p114 software]#

2.3 zookeeper安装

在每台服务器都新建一个zookeeper用户：

useradd -d  /opt/zookeeper  zookeeper

在 /etc/security/limit.conf中增加如下内容：

zookeeper  soft nproc 16384
zookeeper  hard nproc 16384
zookeeper  soft nofile 65535
zookeeper  hard nofile 65536

切换到zookeeper用户 su - zookeeper
建立软链接,便于以后切换版本：

ln -s /opt/zookeeper/zookeeper-3.4.10 /opt/zookeeper/zookeeper

由于采用rpm安装了jdk,因此并不需要重新配置jdk的环境变量。
为了便于后续操作，将zookeeper的环境变量配置上。修改.bash_profile文件。

export ZOOKEEPER_HOME=/opt/zookeeper/apache-zookeeper

export PATH=$ZOOKEEPER_HOME/bin:$PATH

之后重新加载环境变量：

soure .bash_profile

zookeeper配置文件：

# The number of milliseconds of each tick
tickTime=2000
# The number of ticks that the initial 
# synchronization phase can take
initLimit=10
# The number of ticks that can pass between 
# sending a request and getting an acknowledgement
syncLimit=5
# the directory where the snapshot is stored.
# do not use /tmp for storage, /tmp here is just 
# example sakes.
dataDir=/opt/zookeeper/data
# the port at which the clients will connect
clientPort=2181
# the maximum number of client connections.
# increase this if you need to handle more clients
#maxClientCnxns=60
#
# Be sure to read the maintenance section of the 
# administrator guide before turning on autopurge.
#
# http://zookeeper.apache.org/doc/current/zookeeperAdmin.html#sc_maintenance
#
# The number of snapshots to retain in dataDir
#autopurge.snapRetainCount=3
# Purge task interval in hours
# Set to "0" to disable auto purge feature
#autopurge.purgeInterval=1
server.1=192.168.162.201:2888:3888
server.2=192.168.162.202:2888:3888
server.3=192.168.162.203:2888:3888

之后建立data目录：

mkdir /opt/zookeeper/data
echo 1 > /opt/zookeeper/data/myid

同样在另外两台服务器将myid配置为 2和3.
上述操作完成之后，可以启动zookeeper:

zkServer.sh start

2.安装kafka

2.1 建立用户并修改环境变量

useradd -d  /opt/kafka kafka

在 /etc/security/limit.conf中增加如下内容：

kafka soft nproc 16384
kafka hard nproc 16384
kafka soft nofile 65535
kafka hard nofile 65536

切换到kafka 用户 su - kafka
建立软链接,便于以后切换版本：

tar -zxvf /opt/soft/kafka_2.12-3.0.0.tar.gz
 ln -s /opt/kafka/kafka_2.12-3.0.0 /opt/kafka/apache-kafka

修改环境变量 .bash_profile文件增加如下内容：

KAFKA_HOME=/opt/kafka/apache-kafka
export PATH=$KAFKA_HOME/bin:$PATH
alias acdconf='cd /opt/kafka/apache-kafka/config/'

2.2 修改kafka配置文件

配置/opt/kafka/apache-kafka/config/server.properties
要修改的参数如下：
m162p201:

broker.id=1
listeners=PLAINTEXT://192.168.162.201:9092
log.dirs=/opt/kafka/kafka-logs
zookeeper.connect=192.168.162.201:2181,192.168.162.202:2181,192.168.162.203:2181

m162p202:

broker.id=2
listeners=PLAINTEXT://192.168.162.202:9092
log.dirs=/opt/kafka/kafka-logs
zookeeper.connect=192.168.162.201:2181,192.168.162.202:2181,192.168.162.203:2181

m162p203:

broker.id=3
listeners=PLAINTEXT://192.168.162.203:9092
log.dirs=/opt/kafka/kafka-logs
zookeeper.connect=192.168.162.201:2181,192.168.162.202:2181,192.168.162.203:2181

2.3 启动kafka

cd /opt/kafka/apache-kafka
bin/kafka-server-start.sh -daemon config/server.properties

3.安装管理工具eagle

eagle安装在kafka用户下，不用重新创建目录。此外eagle只需要在一个节点安装即可。
切换到kafka用户：

sudo su - kafka
tar -zxvf kafka-eagle-bin-1.4.8.tar.gz

建立软链接，便于后续切换版本：

ln -s /opt/kafka/kafka-eagle-web-1.4.8  /opt/kafka/kafka-eagle

在环境变量中增加eagle的相关内容：

KE_HOME=/opt/kafka/kafka-eagle
export KE_HOME

重新加载环境变量：

source .bash_profile

修改期配置文件：

vim /opt/kafka/kafka-eagle/conf/system-config.properties

修改为如下内容：

######################################
# multi zookeeper & kafka cluster list
######################################
kafka.eagle.zk.cluster.alias=cluster1
cluster1.zk.list=192.168.162.201:2181,192.168.162.202:2181,192.168.162.203:2181

######################################
# broker size online list
######################################
cluster1.kafka.eagle.broker.size=20

######################################
# zk client thread limit
######################################
kafka.zk.limit.size=25

######################################
# kafka eagle webui port
######################################
kafka.eagle.webui.port=8048

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

######################################
# kafka metrics, 15 days by default
######################################
kafka.eagle.metrics.charts=false
kafka.eagle.metrics.retain=15


######################################
# kafka sql topic records max
######################################
kafka.eagle.sql.topic.records.max=5000
kafka.eagle.sql.fix.error=false

######################################
# delete kafka topic token
######################################
kafka.eagle.topic.token=keadmin

######################################
# kafka sasl authenticate
######################################
cluster1.kafka.eagle.sasl.enable=false
cluster1.kafka.eagle.sasl.protocol=SASL_PLAINTEXT
cluster1.kafka.eagle.sasl.mechanism=SCRAM-SHA-256
cluster1.kafka.eagle.sasl.jaas.config=org.apache.kafka.common.security.scram.ScramLoginModule required username="kafka" password="kafka-eagle";
cluster1.kafka.eagle.sasl.client.id=
cluster1.kafka.eagle.sasl.cgroup.enable=false
cluster1.kafka.eagle.sasl.cgroup.topics=

cluster2.kafka.eagle.sasl.enable=false
cluster2.kafka.eagle.sasl.protocol=SASL_PLAINTEXT
cluster2.kafka.eagle.sasl.mechanism=PLAIN
cluster2.kafka.eagle.sasl.jaas.config=org.apache.kafka.common.security.plain.PlainLoginModule required username="kafka" password="kafka-eagle";
cluster2.kafka.eagle.sasl.client.id=
cluster2.kafka.eagle.sasl.cgroup.enable=false
cluster2.kafka.eagle.sasl.cgroup.topics=

######################################
# kafka ssl authenticate
######################################
cluster3.kafka.eagle.ssl.enable=false
cluster3.kafka.eagle.ssl.protocol=SSL
cluster3.kafka.eagle.ssl.truststore.location=
cluster3.kafka.eagle.ssl.truststore.password=
cluster3.kafka.eagle.ssl.keystore.location=
cluster3.kafka.eagle.ssl.keystore.password=
cluster3.kafka.eagle.ssl.key.password=
cluster3.kafka.eagle.ssl.cgroup.enable=false
cluster3.kafka.eagle.ssl.cgroup.topics=

######################################
# kafka sqlite jdbc driver address
######################################
kafka.eagle.driver=org.sqlite.JDBC
kafka.eagle.url=jdbc:sqlite:/opt/kafka/kafka-eagle/db/ke.db
kafka.eagle.username=admin
kafka.eagle.password=123456

######################################
# kafka mysql jdbc driver address
######################################
#kafka.eagle.driver=com.mysql.jdbc.Driver
#kafka.eagle.url=jdbc:mysql://127.0.0.1:3306/ke?useUnicode=true&characterEncoding=UTF-8&zeroDateTimeBehavior=convertToNull
#kafka.eagle.username=root
#kafka.eagle.password=123456

由于服务器上没有安装mysql因此，用sqlite即可
kafka.eagle.username=admin
kafka.eagle.password=123456
则指定了eagle登陆的用户名和密码。
监听8048端口。此外，为了eagle采集更多的kafka运行信息，需要开启kafka的jmx服务，修改每个节点kafka的启动脚本
vim /opt/kafka/apache-kafka/bin/kafka-server-start.sh
增加30行内容

 28 if [ "x$KAFKA_HEAP_OPTS" = "x" ]; then
 29     export KAFKA_HEAP_OPTS="-Xmx1G -Xms1G"
 30     export JMX_PORT="7788"
 31 fi

之后重启即可。注意每个节点都需要修改。
现在启动eagle
cd /opt/kafka/kafka-eagle/bin

[kafka@m162p201 kafka-eagle]$ cd bin/
[kafka@m162p201 bin]$ ls
ke.bat  ke.pid  ke.sh
[kafka@m162p201 bin]$ ./ke.sh 
Usage: ./ke.sh {start|stop|restart|status|stats|find|gc|jdk|version|sdate}
[kafka@m162p201 bin]$ ./ke.sh start
[2021-11-03 16:58:07] INFO: Starting  kafka eagle environment check ...
  created: META-INF/
 inflated: META-INF/MANIFEST.MF
  created: WEB-INF/
  created: WEB-INF/classes/
  created: WEB-INF/classes/org/
  created: WEB-INF/classes/org/smartloli/
  created: WEB-INF/classes/org/smartloli/kafka/
  created: WEB-INF/classes/org/smartloli/kafka/eagle/

... ...

  created: META-INF/maven/org.smartloli.kafka.eagle/kafka-eagle-web/
 inflated: META-INF/maven/org.smartloli.kafka.eagle/kafka-eagle-web/pom.xml
 inflated: META-INF/maven/org.smartloli.kafka.eagle/kafka-eagle-web/pom.properties
[2021-11-03 16:58:13] INFO: Port Progress: [##################################################] | 100%
[2021-11-03 16:58:16] INFO: Config Progress: [##################################################] | 100%
[2021-11-03 16:58:19] INFO: Startup Progress: [##################################################] | 100%
[2021-11-03 16:58:07] INFO: Status Code[0]
[2021-11-03 16:58:07] INFO: [Job done!]
Welcome to
    __ __    ___     ____    __ __    ___            ______    ___    ______    __     ______
   / //_/   /   |   / __/   / //_/   /   |          / ____/   /   |  / ____/   / /    / ____/
  / ,<     / /| |  / /_    / ,<     / /| |         / __/     / /| | / / __    / /    / __/   
 / /| |   / ___ | / __/   / /| |   / ___ |        / /___    / ___ |/ /_/ /   / /___ / /___   
/_/ |_|  /_/  |_|/_/     /_/ |_|  /_/  |_|       /_____/   /_/  |_|\____/   /_____//_____/   
                                                                                             

Version 1.4.8 -- Copyright 2016-2020
*******************************************************************
* Kafka Eagle Service has started success.
* Welcome, Now you can visit 'http://192.168.162.201:8048/ke'
* Account:admin ,Password:123456
*******************************************************************
* <Usage> ke.sh [start|status|stop|restart|stats] </Usage>
* <Usage> https://www.kafka-eagle.org/ </Usage>
*******************************************************************

eagle启动完毕。
可以通过如下地址访问：

http://192.168.162.201:8048/ke

通过上面配置的用户，admin / 123456登陆。
登陆后界面如下；

kafkaeagle 登陆后界面

另外还提供了一个精美的BScreen:

kafkaeagle BScreen

kafka3.0集群搭建过程

1.环境说明

2.环境准备

2.1 依赖软件下载

2.2 jdk安装

2.3 zookeeper安装

2.安装kafka

2.1 建立用户并修改环境变量

2.2 修改kafka配置文件

2.3 启动kafka

3.安装管理工具eagle

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