1.3 win下Kafka源码环境搭建

比眉伴天荒 2022-11-11 13:09 252阅读 0赞

> 本文目的：1 搭建win下kafka调试环境，2，看kafka源码

### 1 本文环境 ###

1.  win10专业版
2.  JDK 1.8
3.  scala 2.11.11
4.  gradle 4.8.1
5.  kafka 0.11.0.3-rc0 源码

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### 2 前置软件准备 ###

#### 2.1 JDK ####

安装省略（如果有本地有多个jdk环境，可以参考[这里][Link 1]进行配置切换），检查版本如下  
![在这里插入图片描述][20210320113348999.png]

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#### 2.2 scala ####

安装看[这里][Link 2]，检查版本如下

> 当前社区编译 Kafka 支持 3 个 Scala 版本，分别是 2.11、2.12 和 2.13。2.11 应该很快就会不支持了，而 2.13 又是刚刚推出的版本，因此我推荐你安装 Scala 2.11 版本。

> 也可以先确定kafka版本，然后在kafka目录下的gradle.properties中看scalaVersion

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L1dBTlRBV0FZMzE0_size_16_color_FFFFFF_t_70]

#### 2.3 gradle ####

安装看[这里][Link 3]（注意最好设置好远程私服地址+本地仓库地址），检查版本如下

> 建议安装4.x版本的gradle，也可以先确定kafka版本，然后在build.gradle 里找到gradleVersion。即使该版本kafka建议对应的gradle版本

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L1dBTlRBV0FZMzE0_size_16_color_FFFFFF_t_70 1]

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#### 2.4 kafka源码 ####

1.  直接从[官网][Link 4]下载，我下载的是kafka-1.0.0-src.tgz
2.  从github上下载,然后切出自己想要的分支版本

//clone 到本地
    >git clone https://github.com/bigData-lab/kafka.git
    //因为我要1.0.0版本的kafka，所以先看tag或远程的版本
    >git tag //查看标签
    >git branch -r //查看远程分支名
    
    >git checkout -b v0.11.0.3-rc0 0.11.0.3-rc0

### 3 win下编译kafka ###

#### 3.1 scala版本检查 ####

首先确保gradle.properties配置文件中的scalaVersion与安装的一致。gradle.properties配置文件的细节如下：

#### 3.2 构建idea工程 ####

在kafka的目录下执行

> Gradlew是包装器，自动下载包装器里定义好的gradle 版本，保证编译环境统一，gradle 是用本地的gradle版本。

// 1.因为我本地已经配置好了kafka所需的各种环境，所以直接gradle idea
    // 2. 我之前已经gradle idea过了，中间会有很多下载耗时较长（分钟级别）。下图展示仅仅是为了演示步骤
    >gradle idea

如下图  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L1dBTlRBV0FZMzE0_size_16_color_FFFFFF_t_70 2]

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### 4 配置Kafka源码环境 ###

> 前面几个步骤执行完成后就可以很舒适的阅读Kafka的源码，但是如果需要启动Kafka的服务还需要一些额外的步骤。

#### 4.1 导入idea ####

1.  安装scala插件（之前已经安装了scala，所以下图是update）  
    ![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L1dBTlRBV0FZMzE0_size_16_color_FFFFFF_t_70 3]
2.  配置gradle

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L1dBTlRBV0FZMzE0_size_16_color_FFFFFF_t_70 4]

1.  导入编译后的kafka  
    ![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L1dBTlRBV0FZMzE0_size_16_color_FFFFFF_t_70 5]
2.  配置日志  
    将config目录下的log4j.properties文件拷贝到core/src/main/scala目录下，这样可以让Kafka在运行时能够输出日志信息，可以参考下图：  
    ![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L1dBTlRBV0FZMzE0_size_16_color_FFFFFF_t_70 6]  
    修改修改log4j.properties，`增加`kafka日志路径kafka.logs.dir

kafka.logs.dir=D:\\idea-workspace\\github\\kafka\\logs

1.  配置server.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.
    
    # 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=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 seperated list of directories under which to store log files
    log.dirs=D:\\idea-workspace\\github\\kafka\\logs\\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 for 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 exceessive 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
    
    # Timeout in ms for connecting to zookeeper
    zookeeper.connection.timeout.ms=6000
    
    
    ############################# 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
    
    
    # 是否允许topic被删除，设置为true则topic可以被删除，
    # 开启这个功能方便Kafka在运行一段时间之后，能够删除一些不需要的临时topic
    delete.topic.enable=true
    # 禁用自动创建topic的功能
    auto.create.topics.enable=false

漫长的构建过程

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L1dBTlRBV0FZMzE0_size_16_color_FFFFFF_t_70 7]

1.  配置kafka启动参数

> 这里配置Main class为kafka.Kafka，并制定启动时所需要的配置文件地址，即：config/server.properties。配置JMX\_PORT是为了方便搜集Kafka自身的Metrics数据

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L1dBTlRBV0FZMzE0_size_16_color_FFFFFF_t_70 8]

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L1dBTlRBV0FZMzE0_size_16_color_FFFFFF_t_70 9]

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### 5 Zookeeper的安装、配置及启动 ###

> Kafka需要使用Zookeeper来管理元数据，比如记录topic、partitions（分区）以及replica（副本）的分配信息。

所以这里的Zookeeper的安装也以极简为主(详细安装见[这里][Link 5])，即采用单机配置。Zookeeper下载地址为：http://zookeeper.apache.org/releases.html，下载之后解压，然后将conf/zoo\_sample.cfg重命名为zoo.cfg，其中$ZOOKEEPER\_HOME指的是ZooKeeper的根目录。

修改$ZOOKEEPER\_HOME/conf/zoo.cfg配置，示例配置如下（其余配置可以不做修改）：

# 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=D:\\ProgramFiles\\zookeeper-3.4.12\\data
    dataLogDir=D:\\ProgramFiles\\zookeeper-3.4.12\\logs
    # 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

简要介绍 zoo.cfg 文件

*  tickTime:默认3000ms，作一种基本单元，用它的倍数来表示系统内部的时间间隔配置，比如
 *  2\*tickTime 是客户端会话的超时时间
 *  1\*tickTime 是客户端 zk 服器端的心跳时
 *  dataDir:无默认配置，必配置；用于配置储快照文件的目录，如果没有配置 dataLogDir，那么事务日志也会储在目录
 *  clientPort:zk 的运行端口，默认是 2181  
    启动

Windows:直接双击 zkServer.cmd
    Linux: zkServer.sh start

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L1dBTlRBV0FZMzE0_size_16_color_FFFFFF_t_70 10]

`如果zk不是默认的，需要修改 kafka的config/server.poroperties 文件的zookeeper.connect属性`

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最后kafka启动成功

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L1dBTlRBV0FZMzE0_size_16_color_FFFFFF_t_70 11]

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### 6 使用kafka ###

1.  启动zk
2.  从idea中启动kafka.scala （相当kafka的server）
3.  创建topic

--create -topic waterWang-test --zookeeper localhost:2181 --partitions 2 --replication-factor 1

如下图填写配置  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L1dBTlRBV0FZMzE0_size_16_color_FFFFFF_t_70 12]  
创建topic成功  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L1dBTlRBV0FZMzE0_size_16_color_FFFFFF_t_70 13]

[Link 1]: https://blog.csdn.net/WANTAWAY314/article/details/113631250
[20210320113348999.png]: /images/20221022/b423d0db08f24ba7b54242b7b78ddacb.png
[Link 2]: https://waterwang.blog.csdn.net/article/details/115027221
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[Link 3]: https://waterwang.blog.csdn.net/article/details/114927573
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[Link 4]: http://kafka.apache.org/downloads
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L1dBTlRBV0FZMzE0_size_16_color_FFFFFF_t_70 2]: https://img-blog.csdnimg.cn/2021032210422289.png?x-oss-process=image/watermark,type_ZmFuZ3poZW5naGVpdGk,shadow_10,text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L1dBTlRBV0FZMzE0,size_16,color_FFFFFF,t_70
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[Link 5]: https://blog.csdn.net/WANTAWAY314/article/details/53939648
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