linux编译kafka源码,Linux Kafka源码环境搭建

本文主要讲述的是如何搭建Kafka的源码环境,主要针对的Linux操作系统下IntelliJ IDEA编译器,其余操作系统或者IDE可以类推。

1.安装和配置JDK

确认JDK版本至少为1.7,最好是1.8及以上。使用java -version命令来查看当前JDK的版本,示例如下:

lenmom@M1701:~/workspace/software/hadoop-/bin$ java -version

java version "1.8.0_191"

Java(TM) SE Runtime Environment (build 1.8.0_191-b12)

Java HotSpot(TM) -Bit Server VM (build 25.191-b12, mixed mode)

2.下载并安装配置Gradle

下载地址为:https://gradle.org/releases/,本人使用的版本是5.2.1(官方在kafka2.1.0的源码中使用的是4.10.2版本,本人在linux上使用5.2.1版本是成功的,但是在windows上是失败的,如果在windows上进行搭建,建议采用4.10.2版本)。一般只需要将下载的包解压,然后再将$GRADLE_HOME/bin的路径添加到环境变量Path中即可,其中$GRADLE_HOME指的是Gradle的根目录。可以使用gradle -v命令来验证Gradle是否已经配置完成,示例如下:

wget https://downloads.gradle.org/distributions/gradle-5.2.1-bin.zip

-bin.zip -C /home/lenmom/software/

配置环境变量

vim /etc/profile

添加以下内容

export GRADLE_HOME=/home/lenmom/software/grandle-

export PATH=$GRADLE_HOME/bin:$PATH

保存退出,source /etc/profile使环境变量生效

3.下载并安装配置Scala

下载地址为:http://www.scala-lang.org/download/all.html,目前最新的版本是2.12.8,不过笔者这里使用的版本是2.11.8。如Gradle一样,只需要解压并将$SCALA_HOME/bin的路径添加到环境变量Path即可,其中$SCALA_HOME指的是Scala的根目录。可以使用scala -version命令来验证scala是否已经配置完成,示例如下:

lenmom@M1701:~/workspace/software/hadoop-/bin$ scala -version

Scala code runner version -- Copyright -, LAMP/EPFL

4. 构建Kafka源码环境

Kafka下载地址为:http://kafka.apache.org/downloads,目前最新的版本是2.10。将下载的压缩包解压,并在Kafka的根目录执行gradle idea命令进行构建,如果你使用的是Eclipse,则只需采用gradle eclipse命令构建即可。构建细节如下所示:

-src$ gradle idea

Starting a Gradle Daemon (subsequent builds will be faster)

> Configure project :

Building project

Building project

> Task :idea

Generated IDEA project at file:///home/lenmom/workspace/open-source/kafka-2.1.0-src/kafka-2.1.0-src.ipr

Deprecated Gradle features were used in this build, making it incompatible with Gradle 6.0.

Use '--warning-mode all' to show the individual deprecation warnings.

See https://docs.gradle.org/5.2.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD SUCCESSFUL in 19m 51s

actionable tasks: executed

之后将Kafka导入到IDEA中即可。不过这样还没有结束,对于IDEA而言,还需要安装Scala插件,在Setting->Plugin中搜索scala并安装,可以参考下图,笔者这里是已经安装好的状态:

linux编译kafka源码,Linux Kafka源码环境搭建_第1张图片

5. 修改kafka_source_home/ gradle.properties中的scala版本

vim /home/lenmom//workspace/open-source/kafka-2.1.0-src/gradle.properties

将其中的scalaVersion改为2.11.8,原来是2.11.11

linux编译kafka源码,Linux Kafka源码环境搭建_第2张图片

修改 /home/lenmom/workspace/open-source/kafka-2.1.0-src/gradle/dependencies.gradle scala版本

/home/lenmom/workspace/open-source/kafka--src/gradle/dependencies.gradle

将其中的def defaultScala211Version = '2.11.11'改为def defaultScala211Version = '2.11.8'

linux编译kafka源码,Linux Kafka源码环境搭建_第3张图片

如果更改了scalaVersion,需要重新执行gradle idea命令来重新构建。虽然很多时候在操作系统中安装其他版本的Scala也并没有什么问题,比如安装2.12.12版本。但是有些情况下运行Kafka时会出现一些异常,而这些异常却又是由于Scala版本不一致而引起的,比如会出现下面示例中的报错:

[2019-02-10 17:09:21,119] FATAL (kafka.Kafka$)

java.lang.NoSuchMethodError: scala.collection.TraversableOnce.$init$(Lscala/collection/TraversableOnce;)V

at kafka.message.MessageSet.(MessageSet.scala:72)

at kafka.message.ByteBufferMessageSet.(ByteBufferMessageSet.scala:129)

at kafka.message.MessageSet$.(MessageSet.scala:32)

at kafka.message.MessageSet$.(MessageSet.scala)

at kafka.server.Defaults$.(KafkaConfig.scala:52)

at kafka.server.Defaults$.(KafkaConfig.scala)

at kafka.server.KafkaConfig$.(KafkaConfig.scala:686)

at kafka.server.KafkaConfig$.(KafkaConfig.scala)

at kafka.server.KafkaServerStartable$.fromProps(KafkaServerStartable.scala:28)

at kafka.Kafka$.main(Kafka.scala:82)

at kafka.Kafka.main(Kafka.scala)

所以为了省去一些不必要的麻烦,还是建议读者在安装Scala版本之前先查看下Kafka源码中gradle.properties文件中配置的scalaVersion。

6. 配置Kafka源码环境

6.1 在确保了scalaVersion之后,需要将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

-src/config/log4j.properties /home/lenmom/workspace/open-source/kafka--src/core/src/main/scala/

6.2 配置server.properties文件,一般只需要修改以下一些配置项

# 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

# 存储log文件的目录,默认值为/tmp/kafka-logs

# 示例是在Windows环境下运行,所以需要修改这个配置,注意这里的双反斜杠。

log.-src/kafka-logs

# 配置kafka依赖的zookeeper路径地址,这里的前提是在本地开启了一个zookeeper的服务

zookeeper.connect=localhost:

6.3 创建kafka日志保存目录

-src/kafka-logs

6.4 确保zookeeper已经启动

zookeeper的安装与启动请参见本人的前期博文

6.5 启动kafka

配置参数:

Main class:

kafka.Kafka

VM options:

-Dkafka.logs.-src/logs

-Dlog4j.configuration=-src/config/log4j.properties

Program arguments:

/home/lenmom/workspace/open-source/kafka--src/config/server.properties

Enviroment variables:

JMX_PORT=

Use classpath of module:

Core_main

linux编译kafka源码,Linux Kafka源码环境搭建_第4张图片

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。

如此便可以顺利的运行Kafka服务了(第一次启动时会有一个耗时较长的编译过程),部分启动日志如下:

zookeeper.session.timeout.ms =

zookeeper.set.acl = false

zookeeper.

(kafka.server.KafkaConfig)

[-- ::,] INFO [ThrottledChannelReaper-Fetch]: Starting (kafka.server.ClientQuotaManager$ThrottledChannelReaper)

[-- ::,] INFO [ThrottledChannelReaper-Produce]: Starting (kafka.server.ClientQuotaManager$ThrottledChannelReaper)

[-- ::,] INFO [ThrottledChannelReaper-Request]: Starting (kafka.server.ClientQuotaManager$ThrottledChannelReaper)

[-- ::,] INFO Loading logs. (kafka.log.LogManager)

[-- ::,] INFO Logs loading complete ms. (kafka.log.LogManager)

[-- ::,] INFO Starting log cleanup with a period of ms. (kafka.log.LogManager)

[-- ::,] INFO Starting log flusher with a default period of ms. (kafka.log.LogManager)

[-- ::,] INFO Awaiting socket connections on . (kafka.network.Acceptor)

[-- ::,] INFO [SocketServer brokerId=] Started acceptor threads (kafka.network.SocketServer)

[-- ::,] INFO [ExpirationReaper--Produce]: Starting (kafka.server.DelayedOperationPurgatory$ExpiredOperationReaper)

[-- ::,] INFO [ExpirationReaper--Fetch]: Starting (kafka.server.DelayedOperationPurgatory$ExpiredOperationReaper)

[-- ::,] INFO [ExpirationReaper--DeleteRecords]: Starting (kafka.server.DelayedOperationPurgatory$ExpiredOperationReaper)

[-- ::,] INFO [LogDirFailureHandler]: Starting (kafka.server.ReplicaManager$LogDirFailureHandler)

[-- ::,] INFO Creating /brokers/ids/ (is it secure? false) (kafka.zk.KafkaZkClient)

[-- ::,] INFO Result of znode creation at /brokers/ids/ is: OK (kafka.zk.KafkaZkClient)

[-- ::,] INFO Registered broker at path /brokers/ids/ with addresses: ArrayBuffer(EndPoint(M1701,,ListenerName(PLAINTEXT),PLAINTEXT)) (kafka.zk.KafkaZkClient)

[-- ::,] INFO [ExpirationReaper--topic]: Starting (kafka.server.DelayedOperationPurgatory$ExpiredOperationReaper)

[-- ::,] INFO [ExpirationReaper--Heartbeat]: Starting (kafka.server.DelayedOperationPurgatory$ExpiredOperationReaper)

[-- ::,] INFO [ExpirationReaper--Rebalance]: Starting (kafka.server.DelayedOperationPurgatory$ExpiredOperationReaper)

[-- ::,] INFO [GroupCoordinator ]: Starting up. (kafka.coordinator.group.GroupCoordinator)

[-- ::,] INFO [GroupMetadataManager brokerId=] Removed expired offsets milliseconds. (kafka.coordinator.group.GroupMetadataManager)

[-- ::,] INFO [GroupCoordinator ]: Startup complete. (kafka.coordinator.group.GroupCoordinator)

[-- ::,] INFO [ProducerId Manager ]: Acquired new producerId block (brokerId:,blockStartProducerId:,blockEndProducerId:) by writing to Zk with path version (kafka.coordinator.transaction.ProducerIdManager)

[-- ::,] INFO [TransactionCoordinator ] Starting up. (kafka.coordinator.transaction.TransactionCoordinator)

[-- ::,] INFO [Transaction Marker Channel Manager ]: Starting (kafka.coordinator.transaction.TransactionMarkerChannelManager)

[-- ::,] INFO [TransactionCoordinator ] Startup complete. (kafka.coordinator.transaction.TransactionCoordinator)

[-- ::,] INFO [/config/changes-event-process-thread]: Starting (kafka.common.ZkNodeChangeNotificationListener$ChangeEventProcessThread)

[-- ::,] INFO [SocketServer brokerId=] Started processors acceptors (kafka.network.SocketServer)

[-- ::,] WARN Error while loading kafka-version.properties :null (org.apache.kafka.common.utils.AppInfoParser)

[-- ::,] INFO Kafka version : unknown (org.apache.kafka.common.utils.AppInfoParser)

[-- ::,] INFO Kafka commitId : unknown (org.apache.kafka.common.utils.AppInfoParser)

[-- ::,] INFO [KafkaServer ] started (kafka.server.KafkaServer)

[-- ::,] WARN Client session timed out, have not heard from server in 4179ms for sessionid 0x1000144f4a50007 (org.apache.zookeeper.ClientCnxn)

[-- ::,] INFO Client session timed out, have not heard from server in 4179ms for sessionid 0x1000144f4a50007, closing socket connection and attempting reconnect (org.apache.zookeeper.ClientCnxn)

[-- ::,] INFO Opening socket connection to server localhost/. Will not attempt to authenticate using SASL (unknown error) (org.apache.zookeeper.ClientCnxn)

[-- ::,] INFO Socket connection established to localhost/, initiating session (org.apache.zookeeper.ClientCnxn)

[-- ::,] INFO Session establishment complete on server localhost/, sessionid = (org.apache.zookeeper.ClientCnxn)

如果出现:

Failed to load class "org.slf4j.impl.StaticLoggerBinder" 错误消息,解决办法为:

下载

log4j-1.2.17.jar

slf4j-api-1.7.25.jar

slf4j-log4j12-1.7.25.jar

并在File->Project Structure->Project Settings>Modules->core->core_main->Dependencies,添加这几个jar包为依赖项。

linux编译kafka源码,Linux Kafka源码环境搭建_第5张图片

本人在windows上按照这个操作亦成功搭建起了调试环境

linux编译kafka源码,Linux Kafka源码环境搭建_第6张图片

你可能感兴趣的:(linux编译kafka源码)