Kafka集群搭建（Docker方式部署）_docker部署kafka集群

Docker方式部署
    1.创建数据目录

mkdir -p /tmp/kafka/broker{1..3}/{data,logs}
mkdir -p /tmp/zookeeper/zookeeper/{data,datalog,logs,conf}

    2.Zookeeper配置,创建Zookeeper配置文件

vi /tmp/zookeeper/zookeeper/conf/zoo.cfg

        1)文件修改内容

# 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=/data
dataLogDir=/datalog
# 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

    3.创建Zookeeper日志配置

vi /tmp/zookeeper/zookeeper/conf/log4j.properties

        1)文件修改内容

# Define some default values that can be overridden by system properties
zookeeper.root.logger=INFO, CONSOLE
zookeeper.console.threshold=INFO
zookeeper.log.dir=/logs
zookeeper.log.file=zookeeper.log
zookeeper.log.threshold=DEBUG
zookeeper.tracelog.dir=.
zookeeper.tracelog.file=zookeeper_trace.log
 
#
# ZooKeeper Logging Configuration
#
 
# Format is "<default threshold> (, <appender>)+
 
# DEFAULT: console appender only
log4j.rootLogger=${zookeeper.root.logger}
 
# Example with rolling log file
#log4j.rootLogger=DEBUG, CONSOLE, ROLLINGFILE
 
# Example with rolling log file and tracing
#log4j.rootLogger=TRACE, CONSOLE, ROLLINGFILE, TRACEFILE
 
#
# Log INFO level and above messages to the console
#
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
#    Log DEBUG level and above messages to a log file
log4j.appender.ROLLINGFILE=org.apache.log4j.RollingFileAppender
log4j.appender.ROLLINGFILE.Threshold=${zookeeper.log.threshold}
log4j.appender.ROLLINGFILE.File=${zookeeper.log.dir}/${zookeeper.log.file}
 
# Max log file size of 10MB
log4j.appender.ROLLINGFILE.MaxFileSize=10MB
# uncomment the next line to limit number of backup files
log4j.appender.ROLLINGFILE.MaxBackupIndex=10
 
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 DEBUG 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

    4.创建Docker编排文件

vi docker-compose.yaml

        1)文件修改内容

version: '2'
services:
  zookeeper:
    container_name: zookeeper
    image: wurstmeister/zookeeper
    restart: unless-stopped
    hostname: zoo1
    volumes:
      - "/tmp/zookeeper/zookeeper/data:/data"
      - "/tmp/zookeeper/zookeeper/datalog:/datalog"
      - "/tmp/zookeeper/zookeeper/logs:/logs"
      - "/tmp/zookeeper/zookeeper/conf:/opt/zookeeper-3.4.13/conf"
    ports:
      - "2181:2181"
    networks:
      - kafka
  kafka1:
    container_name: kafka1
    image: wurstmeister/kafka
    ports:
      - "9092:9092"
    environment:
      KAFKA_ADVERTISED_HOST_NAME: 192.168.245.253                   ## 修改:宿主机IP
      KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://192.168.245.253:9092  ## 修改:宿主机IP
      KAFKA_ZOOKEEPER_CONNECT: "zoo1:2181"
      KAFKA_ADVERTISED_PORT: 9092
      KAFKA_BROKER_ID: 1
      KAFKA_LOG_DIRS: /kafka/data
    volumes:
      - /tmp/kafka/broker1/logs:/opt/kafka/logs
      - /tmp/kafka/broker1/data:/kafka/data
    depends_on:
      - zookeeper
    networks:
      - kafka
  kafka2:
    container_name: kafka2
    image: wurstmeister/kafka
    ports:
      - "9093:9092"
    environment:
      KAFKA_ADVERTISED_HOST_NAME: 192.168.245.253                   ## 修改:宿主机IP
      KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://192.168.245.253:9093  ## 修改:宿主机IP
      KAFKA_ZOOKEEPER_CONNECT: "zoo1:2181"
      KAFKA_ADVERTISED_PORT: 9093
      KAFKA_BROKER_ID: 2
      KAFKA_LOG_DIRS: /kafka/data
    volumes:
      - /tmp/kafka/broker2/logs:/opt/kafka/logs
      - /tmp/kafka/broker2/data:/kafka/data
    depends_on:
      - zookeeper
    networks:
      - kafka
  kafka3:
    container_name: kafka3
    image: wurstmeister/kafka
    ports:
      - "9094:9092"
    environment:
      KAFKA_ADVERTISED_HOST_NAME: 192.168.245.253                   ## 修改:宿主机IP
      KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://192.168.245.253:9094  ## 修改:宿主机IP
      KAFKA_ZOOKEEPER_CONNECT: "zoo1:2181"
      KAFKA_ADVERTISED_PORT: 9094
      KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 3
      KAFKA_MIN_INSYNC_REPLICAS: 2
      KAFKA_BROKER_ID: 3
      KAFKA_LOG_DIRS: /kafka/data
    volumes:
      - /tmp/kafka/broker3/logs:/opt/kafka/logs
      - /tmp/kafka/broker3/data:/kafka/data
    depends_on:
      - zookeeper
    networks:
      - kafka
  kafka-manager:
    image: sheepkiller/kafka-manager              ## 镜像：开源的web管理kafka集群的界面
    environment:
        ZK_HOSTS: 192.168.245.253                 ## 修改:宿主机IP
    ports:
      - "9000:9000"                               ## 暴露端口
    networks:
      - kafka
networks:
  kafka:
    driver: bridge

    5.启动服务
      

docker-compose up -d