kafka安装步骤（版本2.12-2.5.0）

1、kafka安装

1.1、 步骤

官网:http://kafka.apache.org/

各个版本下载地址：http://kafka.apache.org/downloads

下载地址：https://mirror.bit.edu.cn/apache/kafka/2.5.0/kafka_2.12-2.5.0.tgz

安装环境：

服务器系统：CentOS 6.6

kafka版本：kafka_2.12-2.5.0 当前最新稳定版

zookeeper版本：apache-zookeeper-3.6.1-bin.tar.gz

zookeeper安装步骤可以参考我发的这个：https://blog.csdn.net/ly8951677/article/details/106605390

jdk版：1.8.0_144

1. 进入官网

2. 选择版本

   当前版本：kafka_2.12-2.5.0.tgz

3. 上传到服务器，然后进行解压

   cd /data/software/
   tar -zxvf kafka_2.12-2.5.0.tgz
   mv kafka_2.12-2.5.0 kafka
   mv kafka /data/program/
   

4. 修改server.xml

   cd /data/program/kafka/config
   mkdir -p /data/kafka/logs
   vim server.xml
   

   server.xml修改的地方

   broker.id=0
   #实际存的是暂存数据，不单单是log日志。
   log.dirs=/data/kafka/logs
   #不要kafka自带的，我们用我们自己安装的
   zookeeper.connect=slave01:22181,slave02:22181,slave03:22181
   

   server.xml修改后

   # 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.
   
   # see kafka.server.KafkaConfig for additional details and defaults
   
   ############################# Server Basics #############################
   
   # The id of the broker. This must be set to a unique integer for each broker.
   #broker相当于一台服务器，也就是一个kafka进程。所以只能是整数
   broker.id=0
   
   ############################# Socket Server Settings #############################
   
   # The address the socket server listens on. It will get the value returned from 
   # java.net.InetAddress.getCanonicalHostName() if not configured.
   #   FORMAT:
   #     listeners = listener_name://host_name:port
   #   EXAMPLE:
   #     listeners = PLAINTEXT://your.host.name:9092
   #listeners=PLAINTEXT://:9092
   
   # Hostname and port the broker will advertise to producers and consumers. If not set, 
   # it uses the value for "listeners" if configured.  Otherwise, it will use the value
   # returned from java.net.InetAddress.getCanonicalHostName().
   #advertised.listeners=PLAINTEXT://your.host.name:9092
   
   # Maps listener names to security protocols, the default is for them to be the same. See the config documentation for more details
   #listener.security.protocol.map=PLAINTEXT:PLAINTEXT,SSL:SSL,SASL_PLAINTEXT:SASL_PLAINTEXT,SASL_SSL:SASL_SSL
   
   # The number of threads that the server uses for receiving requests from the network and sending responses to the network
   num.network.threads=3
   
   # The number of threads that the server uses for processing requests, which may include disk I/O
   num.io.threads=8
   
   # The send buffer (SO_SNDBUF) used by the socket server
   socket.send.buffer.bytes=102400
   
   # The receive buffer (SO_RCVBUF) used by the socket server
   socket.receive.buffer.bytes=102400
   
   # The maximum size of a request that the socket server will accept (protection against OOM)
   socket.request.max.bytes=104857600
   
   
   ############################# Log Basics #############################
   
   # A comma separated list of directories under which to store log files
   #log.dirs=/tmp/kafka-logs
   #实际存的是暂存数据，不单单是log日志。
   log.dirs=/data/kafka/logs
   
   # The default number of log partitions per topic. More partitions allow greater
   # parallelism for consumption, but this will also result in more files across
   # the brokers.
   num.partitions=1
   
   # The number of threads per data directory to be used for log recovery at startup and flushing at shutdown.
   # This value is recommended to be increased for installations with data dirs located in RAID array.
   num.recovery.threads.per.data.dir=1
   
   ############################# Internal Topic Settings  #############################
   # The replication factor for the group metadata internal topics "__consumer_offsets" and "__transaction_state"
   # For anything other than development testing, a value greater than 1 is recommended to ensure availability such as 3.
   offsets.topic.replication.factor=1
   transaction.state.log.replication.factor=1
   transaction.state.log.min.isr=1
   
   ############################# Log Flush Policy #############################
   
   # Messages are immediately written to the filesystem but by default we only fsync() to sync
   # the OS cache lazily. The following configurations control the flush of data to disk.
   # There are a few important trade-offs here:
   #    1. Durability: Unflushed data may be lost if you are not using replication.
   #    2. Latency: Very large flush intervals may lead to latency spikes when the flush does occur as there will be a lot of data to flush.
   #    3. Throughput: The flush is generally the most expensive operation, and a small flush interval may lead to excessive seeks.
   # The settings below allow one to configure the flush policy to flush data after a period of time or
   # every N messages (or both). This can be done globally and overridden on a per-topic basis.
   
   # The number of messages to accept before forcing a flush of data to disk
   #log.flush.interval.messages=10000
   
   # The maximum amount of time a message can sit in a log before we force a flush
   #log.flush.interval.ms=1000
   
   ############################# Log Retention Policy #############################
   
   # The following configurations control the disposal of log segments. The policy can
   # be set to delete segments after a period of time, or after a given size has accumulated.
   # A segment will be deleted whenever *either* of these criteria are met. Deletion always happens
   # from the end of the log.
   
   # The minimum age of a log file to be eligible for deletion due to age
   log.retention.hours=168
   
   # A size-based retention policy for logs. Segments are pruned from the log unless the remaining
   # segments drop below log.retention.bytes. Functions independently of log.retention.hours.
   #log.retention.bytes=1073741824
   
   # The maximum size of a log segment file. When this size is reached a new log segment will be created.
   log.segment.bytes=1073741824
   
   # The interval at which log segments are checked to see if they can be deleted according
   # to the retention policies
   log.retention.check.interval.ms=300000
   
   ############################# Zookeeper #############################
   
   # Zookeeper connection string (see zookeeper docs for details).
   # This is a comma separated host:port pairs, each corresponding to a zk
   # server. e.g. "127.0.0.1:3000,127.0.0.1:3001,127.0.0.1:3002".
   # You can also append an optional chroot string to the urls to specify the
   # root directory for all kafka znodes.
   #zookeeper.connect=localhost:2181
   #不要kafka自带的，我们用我们自己安装的
   zookeeper.connect=slave01:22181,slave02:22181,slave03:22181
   
   
   # Timeout in ms for connecting to zookeeper
   zookeeper.connection.timeout.ms=18000
   
   
   ############################# Group Coordinator Settings #############################
   
   # The following configuration specifies the time, in milliseconds, that the GroupCoordinator will delay the initial consumer rebalance.
   # The rebalance will be further delayed by the value of group.initial.rebalance.delay.ms as new members join the group, up to a maximum of max.poll.interval.ms.
   # The default value for this is 3 seconds.
   # We override this to 0 here as it makes for a better out-of-the-box experience for development and testing.
   # However, in production environments the default value of 3 seconds is more suitable as this will help to avoid unnecessary, and potentially expensive, rebalances during application startup.
   group.initial.rebalance.delay.ms=0
   

   5. 启动

      #-daemon 使用守护进程运行，若不加参数，启动后不能自动退出启动的窗口。可能也可以用nohup，我没试过，可以试试，应该可以。
      /data/program/kafka/bin/kafka-server-start.sh -daemon /data/program/kafka/config/server.properties
      

   6. 关闭
      由于我的kafka安装路径自定义，所以关闭的时候找不到pid，导致执行关闭脚本失效，所以要修改下

      vim /data/program/kafka/bin/kafka-server-stop.sh
      

      #PIDS=$(ps ax | grep -i 'kafka\.Kafka' | grep java | grep -v grep | awk '{print $1}')
      #这里的jps使用ssh跨服务器调用的话会找不到这个命令，需要指定运行路径，比如我的jps在：/usr/java/jdk1.8.0_144/bin/jps
      #PIDS=$(/usr/java/jdk1.8.0_144/bin/jps |grep -i kafka|awk '{print$1}')
      PIDS=$(jps |grep -i kafka|awk '{print$1}')
      

      #执行关闭脚本
      /data/program/kafka/bin/kafka-server-stop.sh
      

   1.2、 脚本分发，启动

   distribute.sh 温馨提示，服务器间，一定要配置免密

   #!/bin/bash
   ##excute the shell： sh /data/script/install/distribute.sh kafka_distribute
   #distribute software
   service_ip_str=(192.168.1.121 192.168.1.122)
   service_ip_str_all=(192.168.1.120 192.168.1.121 192.168.1.122)
   case $1 in
   "kafka_distribute"){
           for(( i=0;i<${#service_ip_str[@]};i++))
           do
                   param=${service_ip_str[i]}
                   ssh $param mkdir -p /data/kafka/logs
                   myid=`expr $i + 1`
                   scp -r /data/program/kafka root@$param:/data/program/
                   ssh $param sed -i s/broker.id=0/broker.id=$myid/g /data/program/kafka/config/server.properties 
           done
   };;
   "kafka_start"){
           for(( i=0;i<${#service_ip_str_all[@]};i++))
           do
                   param=${service_ip_str_all[i]}
                   ssh ${param} /data/program/kafka/bin/kafka-server-start.sh -daemon /data/program/kafka/config/server.properties
           done
   };;
   "kafka_stop"){
           for(( i=0;i<${#service_ip_str_all[@]};i++))
           do
                   param=${service_ip_str_all[i]}
                   ssh ${param} /data/program/kafka/bin/kafka-server-stop.sh
           done
   };;
   esac