信阅平台

编辑推荐

《深入云计算：Hadoop源代码分析》经典Hadoop源码分析图书，笔者悉心整理多年Hadoop架构分析与源码学习笔记，凝练丰富的实践开发经验，辛勤劳动成果倾囊相送，以飨读者。实践开发经验质的提升，深入解析Hadoop各部分的源代码，带领读者透彻理解Hadoop的结构和工作机理，深入了解Hadoop的底层工作机制。&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;【本书特色】&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;1.内容全面、系统、深入：本书全面介绍了Hadoop各个组件的源代码，包括HDFS、MapReduce以及RPC等部分。此外，每节都配有详细的UML模型图和流程图，以便2.读者对所讲内容有更加清晰的认识。&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;讲解细致，适合各个层次的读者阅读：本书从不同的层次结构依次讲解Hadoop的源代码，并深入到其结构内部，详细讲解每个部分。内容梯度从易到难，讲解由浅3.入深，循序渐进，适合各个层次的读者阅读。&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;4.全面而详细解析Hadoop源码：本书将Hadoop关键核心的代码一一展现给大家，做到浅显易懂，使读者能快速高效地对Hadoop有一个深入的理解。&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;5.提供技术支持，答疑解惑：读者阅读本书时若有任何疑问可到网站http://www.rzchina.net&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;中的Hadoop相关论坛提问，以获得帮助。笔者会及时解答读者的各种问题。书中源代码下载地址：http://www.tdpress.com/zyzx/tsscflwj&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;

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内容介绍

本书是一本全面细致介绍和分析Hadoop源码和内部工作机理的技术书籍，通过对Hadoop内部源码详细透彻的解析，使读者能够快速高效地掌握Hadoop的内部工作机制，了解Hadoop内部源码架构，对Hadoop有更加深刻的认识。<br>本书主要对Hadoop最核心的部分：HDFS和MapReduce进行源码解析和说明。适合所有想全面学习Hadoop开发技术的人员阅读，也适用于使用Hadoop进行开发的工程技术人员，还可作为想深入了解Hadoop运行机制、源代码的开发人员的参考书籍

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精彩书摘

在如今的数字时代，全球以电子方式存储的数据总量是巨大的。据资料显示，2006年的数据总量为0.18&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;ZB，在2011年数据总量则达到1.8&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;ZB。而且数据的增长速度还在不断加快，人们已经面临着需要高效快速处理大量数据的问题。&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;想象一下，如果全球的网页都存储在你的计算机中，你要搜索其中一些网页出来，命令一旦发布，那么你的计算机要多久才能完成搜索任务？可是Google只需要不到一秒钟就能完成，这是因为Google把这些网页同时分布在不同的计算机上，每台计算机只搜索自己的这部分，一个命令，同时有多台计算机在执行，但是给我们的感觉是在使用一台计算机而已。Hadoop就是模仿Google核心技术而衍生的分布式计算机系统框架。&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;Hadoop是由Apache&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;Software&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;Foundation公司于2005年秋天作为Lucene的子项目Nutch的一部分正式引入的。它受到最先由Google&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;Lab开发的Map/Reduce计算模型和Google&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;File&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;System（GFS）分布式文件系统的启发。2006年3月份，Map/Reduce和Nutch&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;Distributed&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;File&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;System（NDFS）分别被纳入称为Hadoop的项目中。&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;Hadoop是一个能够对大量数据进行分布式处理的软件框架。Hadoop因具有高可靠性、高扩展性、高效性和高容错性等特性而深受广大用户的欢迎，并且迅速在大数据处理领域占领了一席之地。&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;编者从事Hadoop架构研究很久，对Hadoop有深入的理解。本书通过深入细致地解析Hadoop各个部分的源代码，带领读者快速高效地将Hadoop的结构和工作机理理解透彻，使读者在读完此书后能对Hadoop的底层工作机制有深入了解，能对开发Hadoop应用程序有质的提高。本书很大程度也是编者在学习Hadoop源码时候的笔记，这里将这些成果分享给大家。&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;

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第1篇&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;Hadoop概述与安装&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;第1章&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;Hadoop的简介和安装&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;1.1&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;Hadoop的简介&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;1&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;1.1.1&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;分布式文件系统HDFS&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;1&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;1.1.2&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;并行计算模型MapReduce&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;3&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;1.2&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;Hadoop的安装&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;3&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;1.2.1&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;虚拟机以及Ubuntu的安装&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;3&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;1.2.2&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;创建Hadoop用户&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;6&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;1.2.3&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;JDK1.6的安装&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;7&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;1.2.4&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;SSH的配置&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;8&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;1.2.5&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;单机模式下Hadoop的安装&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;11&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;1.2.6&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;伪分布式模式下Hadoop的安装&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;11&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;1.2.7&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;分布式模式下Hadoop的安装&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;14&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;第2篇&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;HDFS分布式文件系统及IO模型&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;第2章&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;HDFS架构和分布式文件系统&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;2.1&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;分布式文件系统概述&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;17&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;2.2&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;HDFS的特点&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;17&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;2.3&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;HDFS文件系统架构&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;18&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;2.4&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;Hadoop的抽象文件系统模型&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;nbsp;19&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;br&amp;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