Kafka技术详解[4]:构建简易Windows环境下的Kafka集群

目录

Kafka基础

 集群部署

 解压文件

 安装ZooKeeper

 安装Kafka

 封装启动脚本

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Kafka基础

Kafka虽然借鉴了JMS规范的思想，但在设计原理上并未完全遵循JMS规范。因此，Kafka内部包含了许多用于数据传输的组件对象，这些组件相互关联，共同实现了高效的数据传输。下面，我们将详细介绍Kafka中的基础概念及核心组件，并展示如何在Windows环境下搭建一个简单的Kafka集群以供学习和练习之用。

 集群部署

尽管生产环境中通常使用Linux系统搭建服务器集群，但为了便于理解和实践，我们将在此章节中搭建一个基于Windows系统的简易集群。关于Linux集群的搭建将在后续章节中详述。

 解压文件

1. 在磁盘根目录创建文件夹cluster，文件夹名称应保持简短。
2. 将Kafka安装包kafka_2.12-3.6.1.tgz解压缩至cluster文件夹下的kafka子文件夹中。

 安装ZooKeeper

1. 将解压缩后的文件夹重命名为kafka-zookeeper。
2. 修改config/zookeeper.properties文件：

# 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.
# the directory where the snapshot is stored.
# 此处注意，如果文件目录不存在，会自动创建
dataDir=E:/cluster/kafka-zookeeper/data
# the port at which the clients will connect
# ZooKeeper默认端口为2181
clientPort=2181
# disable the per-ip limit on the number of connections since this is a non-production config
maxClientCnxns=0
# Disable the adminserver by default to avoid port conflicts.
# Set the port to something non-conflicting if choosing to enable this
admin.enableServer=false
# admin.serverPort=8080

 安装Kafka

1. 将解压缩后的kafka-zookeeper文件夹复制一份，并重命名为kafka-node-1。
2. 修改config/server.properties配置文件：

# The id of the broker. This must be set to a unique integer for each broker.
# kafka节点数字标识，集群内具有唯一性
broker.id=1

# 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
# 监听器 9091为本地端口，如果冲突，请重新指定
listeners=PLAINTEXT://:9091

# A comma separated list of directories under which to store log files
# 数据文件路径，如果不存在，会自动创建
log.dirs=E:/cluster/kafka-node-1/data

# 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软件连接地址，2181为默认的ZK端口号 /kafka 为ZK的管理节点
zookeeper.connect=localhost:2181/kafka

# Timeout in ms for connecting to zookeeper
zookeeper.connection.timeout.ms=18000

# The maximum size of a log segment file. When this size is reached a new log segment will be created.
log.segment.bytes=190
log.flush.interval.messages=2
log.index.interval.bytes=17

# 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

# 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

1. 将kafka-node-1文件夹复制两份，分别重命名为kafka-node-2，kafka-node-3。
2. 分别修改kafka-node-2，kafka-node-3文件夹中的server.properties配置文件：
   • 将broker.id=1改为broker.id=2，broker.id=3；
   • 将9091改为9092，9093（如端口冲突，请重新设置）；
   • 将kafka-node-1改为kafka-node-2，kafka-node-3。

 封装启动脚本

由于启动Kafka集群前需先启动ZooKeeper，并且Kafka集群包含多个节点，因此启动过程较为繁琐。为此，我们将启动指令封装进批处理文件中：

1. 在kafka-zookeeper文件夹下创建zk.cmd批处理文件。
2. 在zk.cmd文件中添加启动命令：

   call bin/windows/zookeeper-server-start.bat config/zookeeper.properties

3. 在kafka-node-1，kafka-node-2，kafka-node-3文件夹下分别创建kfk.cmd批处理文件。
4. 在kfk.cmd文件中添加启动命令：

   call bin/windows/kafka-server-start.bat config/server.properties

5. 在cluster文件夹下创建cluster.cmd批处理文件，用于启动Kafka集群。
6. 在cluster.cmd文件中添加启动命令：

   cd kafka-zookeeper
   start zk.cmd
   ping 127.0.0.1 -n 10 >nul
   cd ../kafka-node-1
   start kfk.cmd
   cd ../kafka-node-2
   start kfk.cmd
   cd ../kafka-node-3
   start kfk.cmd

7. 在cluster文件夹下创建cluster-clear.cmd批处理文件，用于清理和重置Kafka数据。
8. 在cluster-clear.cmd文件中添加清理命令：

   cd kafka-zookeeper
   rd /s /q data
   cd ../kafka-node-1
   rd /s /q data
   cd ../kafka-node-2
   rd /s /q data
   cd ../kafka-node-3
   rd /s /q data

9. 双击执行cluster.cmd文件以启动Kafka集群。

启动集群命令后，会打开多个黑窗口，每个窗口代表一个Kafka服务，请勿关闭这些窗口，否则对应的Kafka服务将会停止。如果启动过程中出现错误，通常是由于ZooKeeper与Kafka之间的同步问题，请先执行cluster-clear.cmd文件，然后再执行cluster.cmd文件即可。

原文地址：https://blog.csdn.net/qq_45115959/article/details/142497375

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