centos搭建kafka集群

安装zookeeper

参考文档：https://blog.csdn.net/zhangchaoyang/article/details/124079541

下载地址：https://zookeeper.apache.org/releases.html

1. 安装jdk

export JAVA_HOME=/opt/jdk1.8.0_341
export JRE_HOME=${JAVA_HOME}/jre
export CLASSPATH=.:${JAVA_HOME}/lib:${JRE_HOME}/lib:$CLASSPATH
export JAVA_PATH=${JAVA_HOME}/bin:${JRE_HOME}/bin
export PATH=$PATH:${JAVA_PATH}

 

2. 安装zookeeper

准备三台机器

   63  tar -xvf apache-zookeeper-3.5.10-bin.tar.gz
   65  cd apache-zookeeper-3.5.10-bin/conf
   69  mv zoo_sample.cfg zoo.cfg

创建数据目录

   73  mkdir /data/zookeeper/data -p

修改配置文件

 vim 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=/data/zookeeper/data

# the port at which the clients will connect
# 2181 : 对 client 端提供服务
clientPort=2181

# the maximum number of client connections.
# increase this if you need to handle more clients
maxClientCnxns=2000

# 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
admin.serverPort=8888

# 2888 : 集群内机器通信使用
# 3888 : 选举 leader 使用（Leader监听此端口）
server.1=192.168.50.208:2888:3888
server.2=192.168.50.209:2888:3888
server.3=192.168.50.210:2888:3888

在每个 zookeeper 的 data 目录下创建一个 myid 文件，内容分别是 1、2、3，对应 zoo.cfg 文件中的 server.1、server.2、server.3 三台服务器。

   82  echo 1 >myid
   72  echo 2 >myid
   72  echo 3 >myid

启动zookeeper

   77  ./zkServer.sh  start
   78  sh zkServer.sh  status
   79  jps -l
   80  ll
   81  tail -f ../logs/zookeeper-root-server-controller.out

连接zookeeper集群

       使用 PrettyZoo 连接 zookeeper

        PrettyZoo GitHub地址：GitHub PrettyZoo

        PrettyZoo 下载地址：Releases · vran-dev/PrettyZoo · GitHub

安装kafka

Kafka下载

参考文档：https://blog.csdn.net/zhangchaoyang/article/details/124082608

下载地址：https://kafka.apache.org/downloads

修改配置文件

每台服务器的 broker.id 必须唯一，host.name=ip 是新增的一行配置，避免本来连接虚拟机中的Kafka服务器报错。

在配置zookeeper 的连接地址时，后面需要加上 /kafka ，这样Kafka 的相关配置就在zookeeper的 /kafka 节点下。

# 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.

#
# This configuration file is intended for use in ZK-based mode, where Apache ZooKeeper is required.
# 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.id=2

############################# Socket Server Settings #############################

# The address the socket server listens on. If not configured, the host name will be equal to the value of
# java.net.InetAddress.getCanonicalHostName(), with PLAINTEXT listener name, and port 9092.
#   FORMAT:
#     listeners = listener_name://host_name:port
#   EXAMPLE:
#     listeners = PLAINTEXT://your.host.name:9092
listeners=PLAINTEXT://192.168.64.12:9092

# Listener name, hostname and port the broker will advertise to clients.
# If not set, it uses the value for "listeners".
advertised.listeners=PLAINTEXT://192.168.64.12:9092

# 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=6

# 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=10240000

# The receive buffer (SO_RCVBUF) used by the socket server
socket.receive.buffer.bytes=10240000

# 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=/opt/kafka/kafka_2.12-3.6.2/data

# 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.
# 与集群内broker数量相同
num.partitions=3

# 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.
# 启动时用于日志恢复和关机时刷新的每个数据目录的线程数
num.recovery.threads.per.data.dir=3

############################# 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.
# 组元数据内部主题“__consumer_offsets”和“__transaction_state”的复制因子
offsets.topic.replication.factor=3
transaction.state.log.replication.factor=3
transaction.state.log.min.isr=3

############################# 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
# 落盘策略
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=5000

############################# 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.
# 日志文件重写
#log.segment.bytes=1073741824

# The interval at which log segments are checked to see if they can be deleted according
# to the retention policies
# 根据保留策略检查日志段是否可删除的间隔
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=192.168.50.64:10,192.168.64.11:2181,192.168.64.12:2181/kafka

# Timeout in ms for connecting to zookeeper
# 超过18s未连接触发kafka选举
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

启动

  110  ./kafka-server-start.sh -daemon ../config/server.properties

 安装kafka tools: https://www.kafkatool.com/