大数据之Hadoop目录

谁借莪１个温暖的怀抱￠ 2022-04-12 09:42 248阅读 0赞

# 说在前面的话 #

适合有java基础、Linux基础、具有一定java开发经验的人！

# 参考的资料 #

Hadoop官方参考资料：[https://blog.csdn.net/qq\_39657909/article/details/84581147][https_blog.csdn.net_qq_39657909_article_details_84581147]

有个大概的了解后在开始这段旅程！！！

# 大概的环境介绍 #

*  Windows10 专业版机器
 *  虚拟机：VMware-workstation-full-10.0.4-2249910
 *  虚拟机安装系统：CentOS-6.8
 *  连接工具：Xshell
 *  文件上传工具：Xftp\_5.0.543
 *  JDK：jdk-8u144-linux-x64.tar.gz
 *  编译过的hadoop：hadoop-2.7.2  
    .....................等等，后面如果有用到会在用到的地方提到！！！

目录一   Hadoop简介

*  [大数据与hadoop简介][hadoop]
 *  [大数据技术生态体系][Link 1]
 *  [Hadoop 2.x与Hadoop 3.x之间的功能比较][Hadoop 2.x_Hadoop 3.x]
 *  [Hadoop2.x目录结构][Hadoop2.x]

目录二   某些最基础的搭建

*  [搭建的准备环境][Link 2]
 *  [基础环境搭建好后的测试][Link 3]
 *  [伪分布式的搭建（启动HDFS并运行MapReduce程序）][HDFS_MapReduce]
 *  [伪分布式的搭建（YARN上运行MapReduce 程序）][YARN_MapReduce]
 *  [伪分布式问题一（配置历史服务器）][Link 4]
 *  [伪分布式问题二（配置日志服务）][Link 5]
 *  [伪分布式的总结与完全分布式的开始][Link 6]
 *  [集群间文件的拷贝][Link 7]
 *  [集群执行命令][Link 8]
 *  [Hadoop完全分布式集群的搭建][Hadoop]
 *  [Hadoop集群时间同步配置][Hadoop 1]
 *  [完全分布式集群的总结][Link 9]
 *  [集群配置常见错误定位及解决方案][Link 10]

目录三   你不得不会的Hadoop源码编译

*  [Linux下Hadoop源码的编译][Linux_Hadoop]
 *  [源码编译时遇到的一些问题总结][Link 11]

目录四   Hadoop之HDFS详解

*  [HDFS简介][HDFS]
 *  [HDFS需要了解的思想][HDFS 1]
 *  [集群HDFS文件的操作（Shell）][HDFS_Shell]
 *  [集群HDFS文件操作（客户端开发java）][HDFS_java]
 *  [初始java集群操作遇到的bug1][java_bug1]
 *  [初始java集群操作遇到的bug2][java_bug2]
 *  [常用JAVA操作HDFS集群的API开发][JAVA_HDFS_API]
 *  [HDFS读写文件的具体流程][HDFS 2]
 *  [HDFS中的DataNode工作机制][HDFS_DataNode]
 *  [NameNode 和 SecondaryNameNode 工作机制][NameNode _ SecondaryNameNode]
 *  [NameNode 故障处理之数据恢复][NameNode]
 *  [HDFS2.X 特性][HDFS2.X]
 *  [集群安全模式][Link 12]
 *  [DataNode服务新节点][DataNode]
 *  [DataNode退役旧节点][DataNode 1]
 *  [NameNode与DataNode的多目录配置][NameNode_DataNode]

目录五   Hadoop之MapReduce详解

*  [Hadoop之MapReduce简介][Hadoop_MapReduce]
 *  [MapReduce练习之WordCount案例实操][MapReduce_WordCount]
 *  [Hadoop序列化][Hadoop 2]
 *  [Hadoop序列化的例子][Hadoop 3]
 *  [MapReduce 流程介绍][MapReduce]
 *  [MapTask阶段简介][MapTask]
 *  [MapReduce之job提交][MapReduce_job]
 *  [切片与MapTask并行决定机制][MapTask 1]
 *  [第一种切片机制——FileInputFormat][FileInputFormat]
 *  [第二种切片机制-----combineTextInputFormat切片][-----combineTextInputFormat]
 *  [Shuffle机制][Shuffle]
 *  [ReduceTask工作机制][ReduceTask]

*版权声明：本博客为记录本人自学感悟，转载需注明出处！*  
[https://me.csdn.net/qq\_39657909][https_me.csdn.net_qq_39657909]

[https_blog.csdn.net_qq_39657909_article_details_84581147]: https://blog.csdn.net/qq_39657909/article/details/84581147
[hadoop]: https://blog.csdn.net/qq_39657909/article/details/84729707
[Link 1]: https://blog.csdn.net/qq_39657909/article/details/84760139
[Hadoop 2.x_Hadoop 3.x]: https://blog.csdn.net/qq_39657909/article/details/84781620
[Hadoop2.x]: https://blog.csdn.net/qq_39657909/article/details/84892074
[Link 2]: https://blog.csdn.net/qq_39657909/article/details/84799166
[Link 3]: https://blog.csdn.net/qq_39657909/article/details/84869005
[HDFS_MapReduce]: https://blog.csdn.net/qq_39657909/article/details/84868975
[YARN_MapReduce]: https://blog.csdn.net/qq_39657909/article/details/84886466
[Link 4]: https://blog.csdn.net/qq_39657909/article/details/84889454
[Link 5]: https://blog.csdn.net/qq_39657909/article/details/84889518
[Link 6]: https://blog.csdn.net/qq_39657909/article/details/84893752
[Link 7]: https://blog.csdn.net/qq_39657909/article/details/84893463
[Link 8]: https://dragonlsl.blog.csdn.net/article/details/118232282
[Hadoop]: https://blog.csdn.net/qq_39657909/article/details/84933625
[Hadoop 1]: https://blog.csdn.net/qq_39657909/article/details/84946105
[Link 9]: https://blog.csdn.net/qq_39657909/article/details/84953943
[Link 10]: https://blog.csdn.net/qq_39657909/article/details/84959921
[Linux_Hadoop]: https://blog.csdn.net/qq_39657909/article/details/84975762
[Link 11]: https://blog.csdn.net/qq_39657909/article/details/84977734
[HDFS]: https://blog.csdn.net/qq_39657909/article/details/84982901
[HDFS 1]: https://blog.csdn.net/qq_39657909/article/details/85004084
[HDFS_Shell]: https://blog.csdn.net/qq_39657909/article/details/85007587
[HDFS_java]: https://blog.csdn.net/qq_39657909/article/details/85007846
[java_bug1]: https://blog.csdn.net/qq_39657909/article/details/85010836
[java_bug2]: https://blog.csdn.net/qq_39657909/article/details/85010867
[JAVA_HDFS_API]: https://blog.csdn.net/qq_39657909/article/details/85013668
[HDFS 2]: https://blog.csdn.net/qq_39657909/article/details/85019785
[HDFS_DataNode]: https://blog.csdn.net/qq_39657909/article/details/85058603
[NameNode _ SecondaryNameNode]: https://blog.csdn.net/qq_39657909/article/details/85161041
[NameNode]: https://blog.csdn.net/qq_39657909/article/details/85260933
[HDFS2.X]: https://blog.csdn.net/qq_39657909/article/details/85268024
[Link 12]: https://blog.csdn.net/qq_39657909/article/details/85270587
[DataNode]: https://blog.csdn.net/qq_39657909/article/details/85555291
[DataNode 1]: https://blog.csdn.net/qq_39657909/article/details/85556992
[NameNode_DataNode]: https://blog.csdn.net/qq_39657909/article/details/85553525
[Hadoop_MapReduce]: https://blog.csdn.net/qq_39657909/article/details/85559418
[MapReduce_WordCount]: https://blog.csdn.net/qq_39657909/article/details/85721297
[Hadoop 2]: https://blog.csdn.net/qq_39657909/article/details/85728286
[Hadoop 3]: https://blog.csdn.net/qq_39657909/article/details/85771769
[MapReduce]: https://blog.csdn.net/qq_39657909/article/details/86027664
[MapTask]: https://blog.csdn.net/qq_39657909/article/details/86500875
[MapReduce_job]: https://blog.csdn.net/qq_39657909/article/details/86169310
[MapTask 1]: https://blog.csdn.net/qq_39657909/article/details/86500516
[FileInputFormat]: https://blog.csdn.net/qq_39657909/article/details/86500661
[-----combineTextInputFormat]: https://blog.csdn.net/qq_39657909/article/details/88386270
[Shuffle]: https://blog.csdn.net/qq_39657909/article/details/88386341
[ReduceTask]: https://blog.csdn.net/qq_39657909/article/details/90384388
[https_me.csdn.net_qq_39657909]: https://me.csdn.net/qq_39657909