docker compose kafka集群部署

kafka集群部署

部署zookeeper准备工作

mkdir data/zookeeper-{1,2,3}/{data,datalog,logs,conf} -p
cat >data/zookeeper-1/conf/zoo.cfg<<EOF
clientPort=2181
dataDir=/data
dataLogDir=/datalog
tickTime=2000
initLimit=5
syncLimit=2
autopurge.snapRetainCount=3
autopurge.purgeInterval=0
maxClientCnxns=60
standaloneEnabled=true
admin.enableServer=true
#和下面的docker-compose 创建的docker container实例对应
server.1=zookeeper-1:2888:3888
server.2=zookeeper-2:2888:3888
server.3=zookeeper-3:2888:3888
EOFcat >data/zookeeper-1/conf/log4j.properties<<EOF
# Copyright 2012 The Apache Software Foundation
# 
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements.  See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership.  The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License.  You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.# Define some default values that can be overridden by system properties
zookeeper.root.logger=INFO, CONSOLEzookeeper.console.threshold=INFOzookeeper.log.dir=/logs
zookeeper.log.file=zookeeper.log
zookeeper.log.threshold=INFO
zookeeper.log.maxfilesize=256MB
zookeeper.log.maxbackupindex=20zookeeper.tracelog.dir=${zookeeper.log.dir}
zookeeper.tracelog.file=zookeeper_trace.loglog4j.rootLogger=${zookeeper.root.logger}#
# console
# Add "console" to rootlogger above if you want to use this 
#
log4j.appender.CONSOLE=org.apache.log4j.ConsoleAppender
log4j.appender.CONSOLE.Threshold=${zookeeper.console.threshold}
log4j.appender.CONSOLE.layout=org.apache.log4j.PatternLayout
log4j.appender.CONSOLE.layout.ConversionPattern=%d{ISO8601} [myid:%X{myid}] - %-5p [%t:%C{1}@%L] - %m%n#
# Add ROLLINGFILE to rootLogger to get log file output
#
log4j.appender.ROLLINGFILE=org.apache.log4j.RollingFileAppender
log4j.appender.ROLLINGFILE.Threshold=${zookeeper.log.threshold}
log4j.appender.ROLLINGFILE.File=${zookeeper.log.dir}/${zookeeper.log.file}
log4j.appender.ROLLINGFILE.MaxFileSize=${zookeeper.log.maxfilesize}
log4j.appender.ROLLINGFILE.MaxBackupIndex=${zookeeper.log.maxbackupindex}
log4j.appender.ROLLINGFILE.layout=org.apache.log4j.PatternLayout
log4j.appender.ROLLINGFILE.layout.ConversionPattern=%d{ISO8601} [myid:%X{myid}] - %-5p [%t:%C{1}@%L] - %m%n#
# Add TRACEFILE to rootLogger to get log file output
#    Log TRACE level and above messages to a log file
#
log4j.appender.TRACEFILE=org.apache.log4j.FileAppender
log4j.appender.TRACEFILE.Threshold=TRACE
log4j.appender.TRACEFILE.File=${zookeeper.tracelog.dir}/${zookeeper.tracelog.file}log4j.appender.TRACEFILE.layout=org.apache.log4j.PatternLayout
### Notice we are including log4j's NDC here (%x)
log4j.appender.TRACEFILE.layout.ConversionPattern=%d{ISO8601} [myid:%X{myid}] - %-5p [%t:%C{1}@%L][%x] - %m%n
#
# zk audit logging
#
zookeeper.auditlog.file=zookeeper_audit.log
zookeeper.auditlog.threshold=INFO
audit.logger=INFO, RFAAUDIT
log4j.logger.org.apache.zookeeper.audit.Log4jAuditLogger=${audit.logger}
log4j.additivity.org.apache.zookeeper.audit.Log4jAuditLogger=false
log4j.appender.RFAAUDIT=org.apache.log4j.RollingFileAppender
log4j.appender.RFAAUDIT.File=${zookeeper.log.dir}/${zookeeper.auditlog.file}
log4j.appender.RFAAUDIT.layout=org.apache.log4j.PatternLayout
log4j.appender.RFAAUDIT.layout.ConversionPattern=%d{ISO8601} %p %c{2}: %m%n
log4j.appender.RFAAUDIT.Threshold=${zookeeper.auditlog.threshold}# Max log file size of 10MB
log4j.appender.RFAAUDIT.MaxFileSize=10MB
log4j.appender.RFAAUDIT.MaxBackupIndex=10EOF

2、部署kafka准备工作

3、编辑docker-compose.yml文件

version: '3'
# 配置zk集群
# container services下的每一个子配置都对应一个zk节点的docker container# 给zk集群配置一个网络，网络名为zookeeper-net
networks:zookeeper-net:name: zookeeper-netdriver: bridgeservices:zookeeper-1:image: zookeepercontainer_name: zookeeper-1restart: always# 配置docker container和宿主机的端口映射ports:- 2181:2181- 8081:8080# 将docker container上的路径挂载到宿主机上 实现宿主机和docker container的数据共享volumes:- "./data/zookeeper-1/data:/data"- "./data/zookeeper-1/datalog:/datalog"- "./data/zookeeper-1/logs:/logs"- "./data/zookeeper-1/conf:/conf"# 配置docker container的环境变量environment:# 当前zk实例的idZOO_MY_ID: 1# 整个zk集群的机器、端口列表ZOO_SERVERS: server.1=zookeeper-1:2888:3888 server.2=zookeeper-2:2888:3888 server.3=zookeeper-3:2888:3888networks:- zookeeper-netzookeeper-2:image: zookeeper# 配置docker container和宿主机的端口映射container_name: zookeeper-2restart: alwaysports:- 2182:2181- 8082:8080# 将docker container上的路径挂载到宿主机上 实现宿主机和docker container的数据共享volumes:- "./data/zookeeper-2/data:/data"- "./data/zookeeper-2/datalog:/datalog"- "./data/zookeeper-2/logs:/logs"- "./data/zookeeper-2/conf:/conf"# 配置docker container的环境变量environment:# 当前zk实例的idZOO_MY_ID: 2# 整个zk集群的机器、端口列表ZOO_SERVERS: server.1=zookeeper-1:2888:3888 server.2=zookeeper-2:2888:3888 server.3=zookeeper-3:2888:3888networks:- zookeeper-netzookeeper-3:image: zookeepercontainer_name: zookeeper-3restart: always# 配置docker container和宿主机的端口映射ports:- 2183:2181- 8083:8080# 将docker container上的路径挂载到宿主机上 实现宿主机和docker container的数据共享volumes:- "./data/zookeeper-3/data:/data"- "./data/zookeeper-3/datalog:/datalog"- "./data/zookeeper-3/logs:/logs"- "./data/zookeeper-3/conf:/conf"# 配置docker container的环境变量environment:# 当前zk实例的idZOO_MY_ID: 3# 整个zk集群的机器、端口列表ZOO_SERVERS: server.1=zookeeper-1:2888:3888 server.2=zookeeper-2:2888:3888 server.3=zookeeper-3:2888:3888networks:- zookeeper-netk1:image: 'bitnami/kafka:3.2.0'restart: alwayscontainer_name: k1user: rootports:- "9092:9092"- "9999:9999"environment:- KAFKA_CFG_ZOOKEEPER_CONNECT=zookeeper-1:2181,zookeeper-2:2181,zookeeper-3:2181- ALLOW_PLAINTEXT_LISTENER=yes- KAFKA_BROKER_ID=0- KAFKA_ADVERTISED_LISTENERS=PLAINTEXT://10.10.111.33:9092- KAFKA_LISTENERS=PLAINTEXT://0.0.0.0:9092- KAFKA_CFG_NUM_PARTITIONS=3- KAFKA_CFG_OFFSETS_TOPIC_REPLICATION_FACTOR=3- KAFKA_HEAP_OPTS=-Xmx512M -Xms256M- JMX_PORT=9999volumes:- ./data/kafka1:/bitnami/kafka:rwnetworks:- zookeeper-netk2:image: 'bitnami/kafka:3.2.0'restart: alwayscontainer_name: k2user: rootports:- "9093:9092"environment:- KAFKA_CFG_ZOOKEEPER_CONNECT=zookeeper-1:2181,zookeeper-2:2181,zookeeper-3:2181- ALLOW_PLAINTEXT_LISTENER=yes- KAFKA_BROKER_ID=1- KAFKA_ADVERTISED_LISTENERS=PLAINTEXT://10.10.111.33:9093- KAFKA_LISTENERS=PLAINTEXT://0.0.0.0:9092- KAFKA_CFG_NUM_PARTITIONS=3- KAFKA_CFG_OFFSETS_TOPIC_REPLICATION_FACTOR=3- KAFKA_HEAP_OPTS=-Xmx512M -Xms256Mvolumes:- ./data/kafka2:/bitnami/kafka:rwnetworks:- zookeeper-netk3:image: 'bitnami/kafka:3.2.0'restart: alwayscontainer_name: k3user: rootports:- "9094:9092"environment:- KAFKA_CFG_ZOOKEEPER_CONNECT=zookeeper-1:2181,zookeeper-2:2181,zookeeper-3:2181- ALLOW_PLAINTEXT_LISTENER=yes- KAFKA_BROKER_ID=2- KAFKA_ADVERTISED_LISTENERS=PLAINTEXT://10.10.111.33:9094- KAFKA_LISTENERS=PLAINTEXT://0.0.0.0:9092- KAFKA_NUM_PARTITIONS=3- KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR=3- KAFKA_HEAP_OPTS=-Xmx512M -Xms256Mvolumes:- ./data/kafka3:/bitnami/kafka:rwnetworks:- zookeeper-netkafka-manager:image: hlebalbau/kafka-managerrestart: alwayscontainer_name: kafka-managerhostname: kafka-managernetwork_mode: zookeeper-netports:- 9000:9000environment:ZK_HOSTS: zookeeper-1:2181,zookeeper-2:2181,zookeeper-3:2181KAFKA_BROKERS: k1:9092,k2:9092,k3:9092APPLICATION_SECRET: letmeinKAFKA_MANAGER_AUTH_ENABLED: "true" # 开启验证KAFKA_MANAGER_USERNAME: "admin" # 用户名KAFKA_MANAGER_PASSWORD: "admin" # 密码KM_ARGS: -Djava.net.preferIPv4Stack=true

kafka配置解释：

    environment:### 通用配置# 允许使用kraft，即Kafka替代Zookeeper- KAFKA_ENABLE_KRAFT=yes# kafka角色，做broker，也要做controller- KAFKA_CFG_PROCESS_ROLES=broker,controller# 指定供外部使用的控制类请求信息- KAFKA_CFG_CONTROLLER_LISTENER_NAMES=CONTROLLER# 定义kafka服务端socket监听端口- KAFKA_CFG_LISTENERS=PLAINTEXT://:,CONTROLLER://:9093# 定义安全协议- KAFKA_CFG_LISTENER_SECURITY_PROTOCOL_MAP=CONTROLLER:PLAINTEXT,PLAINTEXT:PLAINTEXT# 使用Kafka时的集群id，集群内的Kafka都要用这个id做初始化，生成一个UUID即可- KAFKA_KRAFT_CLUSTER_ID=LelMdIFQkiUFvXCEcqRWA# 集群地址- KAFKA_CFG_CONTROLLER_QUORUM_VOTERS=@kafka11:9093,2@kafka22:9093,3@kafka33:9093# 允许使用PLAINTEXT监听器，默认false，不建议在生产环境使用- ALLOW_PLAINTEXT_LISTENER=yes# 设置broker最大内存，和初始内存- KAFKA_HEAP_OPTS=-XmxM -Xms256M # 不允许自动创建主题- KAFKA_CFG_AUTO_CREATE_TOPICS_ENABLE=false
### broker配置# 定义外网访问地址（宿主机ip地址和端口）- KAFKA_CFG_ADVERTISED_LISTENERS=PLAINTEXT://.168.1.54:9292# broker.id，必须唯一- KAFKA_BROKER_ID=

4、启动服务

docker compose up -d

5、测试kafka

#进入机器kafka容器内部，创建并查看是否存在刚创建的topic，如果存在则说明Kafka集群搭建成功。
docker exec -it k1 bash
#创建topic
kafka-topics.sh --create --bootstrap-server 10.10.111.33:9092 --replication-factor 1 --partitions 3 --topic ODSDataSync
#查看topic
kafka-topics.sh --bootstrap-server 10.10.111.33:9092 --describe --topic ODSDataSync
docker exec -it k2 bash