环境准备
host配置安装zookeeper集群
配置相应myid kafka集群搭建
更新kafka配置 问题排查
集群不生效问题（停掉某个节点后，kafka某个topic服务失效）session close问题
环境准备认证配置参见 kafka认证配置
搭建之前先做个简短说明。最近一个项目一直在使用kafka和redis，因单节点已完成且运行良好，为了进一步巩固系统稳定性，所以需要更新为kafka集群和redis集群，此处重点说下kafka集群搭建过程记录及相关问题思考
已下载kafka和zookeeper，如没有则需自行下载，本项目使用为zookeeper-3.6.1 和 kafka_2.13-3.0.0，操作系统为centos
防火墙相关配置
firewalld-cmd --state systemctl stop firewalld.service systemctl disable firewalld.service
注意各节点防火墙端口号是否放行，否则集群启动会失败
host配置增加zookeeper及kafka节点域名配置：
cd /etc/hosts 文件 增加如下
192.168.0.201 casic.zookeeper1.com 192.168.0.213 casic.zookeeper2.com 192.168.0.214 casic.zookeeper3.com 192.168.0.201 casic.kafka1.com 192.168.0.213 casic.kafka2.com 192.168.0.214 casic.kafka3.com安装zookeeper集群
解压文件夹
tar -ZXVF apache-zookeeper-3.6.1-bin.tar.gz修改zoo.cfg
cp zoo_sample.cfg 改为zoo.cfg
# 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=/root/app/zk_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 server.1=casic.zookeeper1.com:2888:3888 server.2=casic.zookeeper2.com:2888:3888 server.3=casic.zookeeper3.com:2888:3888
2888端口号是zookeeper服务之间通信的端口
3888端口号是leader选举接口，zk节点最好为奇数，防止脑裂
配置可视化管理
admin.enableServer = true admin.serverPort = 8888配置相应myid
对应dataDir下创建myid文件，与 server. 后面的数字对应。如上则配置为 1 2 3
执行启动命令
./zkServer.sh start
tickTime：CS通信心跳数
Zookeeper 服务器之间或客户端与服务器之间维持心跳的时间间隔，也就是每个 tickTime 时间就会发送一个心跳。
tickTime以毫秒为单位。
tickTime：该参数用来定义心跳的间隔时间，zookeeper的客户端和服务端之间也有和web开发里类似的session的概念，而zookeeper里最小的session过期时间就是tickTime的两倍。initLimit：LF初始通信时限
集群中的follower服务器(F)与leader服务器(L)之间 初始连接 时能容忍的最多心跳数（tickTime的数量）syncLimit：LF同步通信时限
集群中的follower服务器(F)与leader服务器(L)之间 请求和应答 之间能容忍的最多心跳数（tickTime的数量）
kafka集群搭建
解压文件夹
tar -ZXVF kafka_2.13-3.0.0.tgz修改server.properties文件
# Licensed to the Apache Software Foundation (ASF) under one or more # limitations under the License. ############################# Server Basics ############################# 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 listeners=SASL_PLAINTEXT://0.0.0.0:9092 # 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 advertised.listeners=SASL_PLAINTEXT://casic.kafka1.com:9092 advertised.host.name=casic.kafka1.com # 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 listener.security.protocol.map=SASL_PLAINTEXT:SASL_PLAINTEXT security.inter.broker.protocol=SASL_PLAINTEXT sasl.mechanism.inter.broker.protocol=PLAIN sasl.enabled.mechanisms=PLAIN allow.everyone.if.no.acl.found=true auto.create.topics.enable=true super.users=User:admin # The number of threads that the server uses for receiving requests from the network and sending responses to the network num.network.threads=9 # The number of threads that the server uses for processing requests, which may include disk I/O num.io.threads=16 # 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 # 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=500 # 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 Retention Policy ############################# # 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=casic.zookeeper1.com:2181,casic.zookeeper2.com:2181,casic.zookeeper3.com:2181 # Timeout in ms for connecting to zookeeper zookeeper.connection.timeout.ms=18000 group.initial.rebalance.delay.ms=0更新kafka配置
broker.id=0 每个节点需变更
问题排查 集群不生效问题（停掉某个节点后，kafka某个topic服务失效）具体查看zk中相关topic中partitions中的isr节点是否分布到至少一个节点以上
session close问题2022-01-26 10:53:43,236 [myid:0] - WARN [NIOWorkerThread-9:NIOServerCnxn@373] - Close of session 0x0
java.io.EOFException
at java.io.DataInputStream.readFully(DataInputStream.java:197)
at java.io.DataInputStream.readLong(DataInputStream.java:416)
at org.apache.jute.BinaryInputArchive.readLong(BinaryInputArchive.java:100)
at org.apache.zookeeper.proto.ConnectRequest.deserialize(ConnectRequest.java:88)
at org.apache.zookeeper.server.ZooKeeperServer.processConnectRequest(ZooKeeperServer.java:1323)
at org.apache.zookeeper.server.NIOServerCnxn.readConnectRequest(NIOServerCnxn.java:419)
at org.apache.zookeeper.server.NIOServerCnxn.readPayload(NIOServerCnxn.java:180)
at org.apache.zookeeper.server.NIOServerCnxn.doIO(NIOServerCnxn.java:339)
at org.apache.zookeeper.server.NIOServerCnxnFactory$IOWorkRequest.doWork(NIOServerCnxnFactory.java:522)
at org.apache.zookeeper.server.WorkerService$ScheduledWorkRequest.run(WorkerService.java:154)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
zookeeper 有个节点重启后一直报close of session 0x0 的错误，停掉已连接的客户端即可 可以参见 [kafka连接](http://t.zoukankan.com/qi-yuan-008-p-13912143.html)
