kafka源码pdf（kafka源码变为JAVA）

本文目录一览：

• 1、《ApacheKafka源码剖析》pdf下载在线阅读，求百度网盘云资源
• 2、《Kafka并不难学》pdf下载在线阅读全文，求百度网盘云资源
• 3、apache kafka源码怎么编译
• 4、学习apache kafka源码剖析需要什么基础
• 5、如何保证kafka 的消息机制 ack-fail 源码跟踪
• 6、kafka技术内幕与apache kafka源码剖析看哪一本好,为什么?

《ApacheKafka源码剖析》pdf下载在线阅读，求百度网盘云资源

《Apache Kafka源码剖析》（徐郡明）电子书网盘下载免费在线阅读

资源链接：

链接：

提取码：tmjo  

书名：Apache Kafka源码剖析

作者：徐郡明

豆瓣评分：8.4

出版社：电子工业出版社

出版年份：2017-5

页数：604

内容简介：

《Apache Kafka源码剖析》以Kafka 0.10.0版本源码为基础，针对Kafka的架构设计到实现细节进行详细阐述。《Apache Kafka源码剖析》共5章，从Kafka的应用场景、源码环境搭建开始逐步深入，不仅介绍Kafka的核心概念，而且对Kafka生产者、消费者、服务端的源码进行深入的剖析，最后介绍Kafka常用的管理脚本实现，让读者不仅从宏观设计上了解Kafka，而且能够深入到Kafka的细节设计之中。在源码分析的过程中，还穿插了笔者工作积累的经验和对Kafka设计的理解，希望读者可以举一反三，不仅知其然，而且知其所以然。

《Apache Kafka源码剖析》旨在为读者阅读Kafka源码提供帮助和指导，让读者更加深入地了解Kafka的运行原理、设计理念，让读者在设计分布式系统时可以参考Kafka的优秀设计。《Apache Kafka源码剖析》的内容对于读者全面提升自己的技术能力有很大帮助。

《Kafka并不难学》pdf下载在线阅读全文，求百度网盘云资源

《Kafka并不难学》百度网盘pdf最新全集下载:

链接:

?pwd=4jp5 提取码: 4jp5

简介：《Kafka并不难学！入门、进阶、商业实战》共分为4篇：第1篇，介绍了消息队列和Kafka、安装与配置Kafka环境；第2篇，介绍了Kafka的基础操作、生产者和消费者、存储及管理数据；第3篇，介绍了更高级的Kafka知识及应用，包括安全机制、连接器、流处理、监控与测试；第4篇，是对前面知识的综合及实际应用，包括ELK套件整合实战、Spark实时计算引擎整合实战、Kafka Eagle监控系统设计与实现实战。  

apache kafka源码怎么编译

Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.(Kafka是一个分布式的、可分区的(partitioned)、基于备份的(replicated)和commit-log存储的服务.。它提供了类似于messaging system的特性,但是在设计实现上完全不同)。kafka是一种高吞吐量的分布式发布订阅消息系统，它有如下特性：

（1）、通过O(1)的磁盘数据结构提供消息的持久化，这种结构对于即使数以TB的消息存储也能够保持长时间的稳定性能。

（2）、高吞吐量：即使是非常普通的硬件kafka也可以支持每秒数十万的消息。

（3）、支持通过kafka服务器和消费机集群来分区消息。

（4）、支持Hadoop并行数据加载。

一、用Kafka里面自带的脚本进行编译

下载好了Kafka源码，里面自带了一个gradlew的脚本，我们可以利用这个编译Kafka源码：

1 # wget

2 # tar -zxf kafka-0.8.1.1-src.tgz

3 # cd kafka-0.8.1.1-src

4 # ./gradlew releaseTarGz

运行上面的命令进行编译将会出现以下的异常信息：

01 :core:signArchives FAILED

02

03 FAILURE: Build failed with an exception.

04

05 * What went wrong:

06 Execution failed for task ':core:signArchives'.

07 Cannot perform signing task ':core:signArchives' because it

08 has no configured signatory

09

10 * Try:

11 Run with --stacktrace option to get the stack trace. Run with

12 --info or --debug option to get more log output.

13

14 BUILD FAILED

这是一个bug（），可以用下面的命令进行编译

1 ./gradlew releaseTarGzAll -x signArchives

这时候将会编译成功（在编译的过程中将会出现很多的）。在编译的过程中，我们也可以指定对应的Scala版本进行编译：

1 ./gradlew -PscalaVersion=2.10.3 releaseTarGz -x signArchives

编译完之后将会在core/build/distributions/里面生成kafka_2.10-0.8.1.1.tgz文件，这个和从网上下载的一样，可以直接用。

二、利用sbt进行编译

我们同样可以用sbt来编译Kafka，步骤如下：

01 # git clone

02 # cd kafka

03 # git checkout -b 0.8 remotes/origin/0.8

04 # ./sbt update

05 [info] [SUCCESSFUL ] org.eclipse.jdt#core;3.1.1!core.jar (2243ms)

06 [info] downloading ...

07 [info] [SUCCESSFUL ] ant#ant;1.6.5!ant.jar (1150ms)

08 [info] Done updating.

09 [info] Resolving org.apache.hadoop#hadoop-core;0.20.2 ...

10 [info] Done updating.

11 [info] Resolving com.yammer.metrics#metrics-annotation;2.2.0 ...

12 [info] Done updating.

13 [info] Resolving com.yammer.metrics#metrics-annotation;2.2.0 ...

14 [info] Done updating.

15 [success] Total time: 168 s, completed Jun 18, 2014 6:51:38 PM

16

17 # ./sbt package

18 [info] Set current project to Kafka (in build file:/export1/spark/kafka/)

19 Getting Scala 2.8.0 ...

20 :: retrieving :: org.scala-sbt#boot-scala

21 confs: [default]

22 3 artifacts copied, 0 already retrieved (14544kB/27ms)

23 [success] Total time: 1 s, completed Jun 18, 2014 6:52:37 PM

对于Kafka 0.8及以上版本还需要运行以下的命令：

01 # ./sbt assembly-package-dependency

02 [info] Loading project definition from /export1/spark/kafka/project

03 [warn] Multiple resolvers having different access mechanism configured with

04 same name 'sbt-plugin-releases'. To avoid conflict, Remove duplicate project

05 resolvers (`resolvers`) or rename publishing resolver (`publishTo`).

06 [info] Set current project to Kafka (in build file:/export1/spark/kafka/)

07 [warn] Credentials file /home/wyp/.m2/.credentials does not exist

08 [info] Including slf4j-api-1.7.2.jar

09 [info] Including metrics-annotation-2.2.0.jar

10 [info] Including scala-compiler.jar

11 [info] Including scala-library.jar

12 [info] Including slf4j-simple-1.6.4.jar

13 [info] Including metrics-core-2.2.0.jar

14 [info] Including snappy-java-1.0.4.1.jar

15 [info] Including zookeeper-3.3.4.jar

16 [info] Including log4j-1.2.15.jar

17 [info] Including zkclient-0.3.jar

18 [info] Including jopt-simple-3.2.jar

19 [warn] Merging 'META-INF/NOTICE' with strategy 'rename'

20 [warn] Merging 'org/xerial/snappy/native/README' with strategy 'rename'

21 [warn] Merging 'META-INF/maven/org.xerial.snappy/snappy-java/LICENSE'

22 with strategy 'rename'

23 [warn] Merging 'LICENSE.txt' with strategy 'rename'

24 [warn] Merging 'META-INF/LICENSE' with strategy 'rename'

25 [warn] Merging 'META-INF/MANIFEST.MF' with strategy 'discard'

26 [warn] Strategy 'discard' was applied to a file

27 [warn] Strategy 'rename' was applied to 5 files

28 [success] Total time: 3 s, completed Jun 18, 2014 6:53:41 PM

当然，我们也可以在sbt里面指定scala的版本：

01 !--

02 User: 过往记忆

03 Date: 14-6-18

04 Time: 20:20

05 bolg:

06 本文地址：

07 过往记忆博客，专注于hadoop、hive、spark、shark、flume的技术博客，大量的干货

08 过往记忆博客微信公共帐号：iteblog_hadoop

09 --

10 sbt "++2.10.3 update"

11 sbt "++2.10.3 package"

12 sbt "++2.10.3 assembly-package-dependency"

学习apache kafka源码剖析需要什么基础

先搞清楚STL怎么用并大量使用相当长的时间，代码风格尽量STL化（这个真是看STL源码的前提，我就是受不了全是模板和迭代器的代码，所以至今没去研究STL源码）

还有，现在对“基础较好”、“熟练”、“精通”之类的词本能的不信任

如何保证kafka 的消息机制 ack-fail 源码跟踪

Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.(Kafka布式、区(partitioned)、基于备份(replicated)commit-log存储服务.提供类似于messaging system特性,设计实现完全同)kafka种高吞吐量布式发布订阅消息系统特性：

（1）、通O(1)磁盘数据结构提供消息持久化种结构于即使数TB消息存储能够保持间稳定性能

（2）、高吞吐量：即使非普通硬件kafka支持每秒数十万消息

（3）、支持通kafka服务器消费机集群区消息

（4）、支持Hadoop并行数据加载

、用Kafka面自带脚本进行编译

载Kafka源码面自带gradlew脚本我利用编译Kafka源码：

1 # wget

2 # tar -zxf kafka-0.8.1.1-src.tgz

3 # cd kafka-0.8.1.1-src

4 # ./gradlew releaseTarGz

运行面命令进行编译现异信息：

01 :core:signArchives FAILED

02

03 FAILURE: Build failed with an exception.

04

05 * What went wrong:

06 Execution failed for task ':core:signArchives'.

07 Cannot perform signing task ':core:signArchives' because it

08 has no configured signatory

09

10 * Try:

11 Run with --stacktrace option to get the stack trace. Run with

12 --info or --debug option to get more log output.

13

14 BUILD FAILED

bug（）用面命令进行编译

1 ./gradlew releaseTarGzAll -x signArchives

候编译功（编译程现）编译程我指定应Scala版本进行编译：

1 ./gradlew -PscalaVersion=2.10.3 releaseTarGz -x signArchives

编译完core/build/distributions/面kafka_2.10-0.8.1.1.tgz文件网载直接用

二、利用sbt进行编译

我同用sbt编译Kafka步骤：

01 # git clone

02 # cd kafka

03 # git checkout -b 0.8 remotes/origin/0.8

04 # ./sbt update

05 [info] [SUCCESSFUL ] org.eclipse.jdt#core;3.1.1!core.jar (2243ms)

06 [info] downloading ...

07 [info] [SUCCESSFUL ] ant#ant;1.6.5!ant.jar (1150ms)

08 [info] Done updating.

09 [info] Resolving org.apache.hadoop#hadoop-core;0.20.2 ...

10 [info] Done updating.

11 [info] Resolving com.yammer.metrics#metrics-annotation;2.2.0 ...

12 [info] Done updating.

13 [info] Resolving com.yammer.metrics#metrics-annotation;2.2.0 ...

14 [info] Done updating.

15 [success] Total time: 168 s, completed Jun 18, 2014 6:51:38 PM

16

17 # ./sbt package

18 [info] Set current project to Kafka (in build file:/export1/spark/kafka/)

19 Getting Scala 2.8.0 ...

20 :: retrieving :: org.scala-sbt#boot-scala

21 confs: [default]

22 3 artifacts copied, 0 already retrieved (14544kB/27ms)

23 [success] Total time: 1 s, completed Jun 18, 2014 6:52:37 PM

于Kafka 0.8及版本需要运行命令：

01 # ./sbt assembly-package-dependency

02 [info] Loading project definition from /export1/spark/kafka/project

03 [warn] Multiple resolvers having different access mechanism configured with

04 same name 'sbt-plugin-releases'. To avoid conflict, Remove duplicate project

05 resolvers (`resolvers`) or rename publishing resolver (`publishTo`).

06 [info] Set current project to Kafka (in build file:/export1/spark/kafka/)

07 [warn] Credentials file /home/wyp/.m2/.credentials does not exist

08 [info] Including slf4j-api-1.7.2.jar

09 [info] Including metrics-annotation-2.2.0.jar

10 [info] Including scala-compiler.jar

11 [info] Including scala-library.jar

12 [info] Including slf4j-simple-1.6.4.jar

13 [info] Including metrics-core-2.2.0.jar

14 [info] Including snappy-java-1.0.4.1.jar

15 [info] Including zookeeper-3.3.4.jar

16 [info] Including log4j-1.2.15.jar

17 [info] Including zkclient-0.3.jar

18 [info] Including jopt-simple-3.2.jar

19 [warn] Merging 'META-INF/NOTICE' with strategy 'rename'

20 [warn] Merging 'org/xerial/snappy/native/README' with strategy 'rename'

21 [warn] Merging 'META-INF/maven/org.xerial.snappy/snappy-java/LICENSE'

22 with strategy 'rename'

23 [warn] Merging 'LICENSE.txt' with strategy 'rename'

24 [warn] Merging 'META-INF/LICENSE' with strategy 'rename'

25 [warn] Merging 'META-INF/MANIFEST.MF' with strategy 'discard'

26 [warn] Strategy 'discard' was applied to a file

27 [warn] Strategy 'rename' was applied to 5 files

28 [success] Total time: 3 s, completed Jun 18, 2014 6:53:41 PM

我sbt面指定scala版本：

01 !--

02 User: 往记忆

03 Date: 14-6-18

04 Time: 20:20

05 bolg:

06 本文址：/archives/1044

07 往记忆博客专注于hadoop、hive、spark、shark、flume技术博客量干货

08 往记忆博客微信公共帐号：iteblog_hadoop

09 --

10 sbt "++2.10.3 update"

11 sbt "++2.10.3 package"

12 sbt "++2.10.3 assembly-package-dependency"

kafka技术内幕与apache kafka源码剖析看哪一本好,为什么?

Jafka/Kafka

Kafka是Apache下的一个子项目，是一个高性能跨语言分布式Publish/Subscribe消息队列系统，而Jafka是在Kafka之上孵化而来的，即Kafka的一个升级版。具有以下特性：快速持久化，可以在O(1)的系统开销下进行消息持久化；高吞吐，在一台普通的服务器上既可以达到10W/s的吞吐速率；完全的分布式系统，Broker、Producer、Consumer都原生自动支持分布式，自动实现复杂均衡；支持Hadoop数据并行加载，对于像Hadoop的一样的日志数据和离线分析系统，但又要求实时处理的限制，这是一个可行的解决方案。Kafka通过Hadoop的并行加载机制来统一了在线和离线的消息处理，这一点也是本课题所研究系统所看重的。Apache Kafka相对于ActiveMQ是一个非常轻量级的消息系统，除了性能非常好之外，还是一个工作良好的分布式系统。

其他一些队列列表HornetQ、Apache Qpid、Sparrow、Starling、Kestrel、Beanstalkd、Amazon SQS就不再一一分析。