博客
关于我
强烈建议你试试无所不能的chatGPT,快点击我
hdfs源码分析第一弹
阅读量:7205 次
发布时间:2019-06-29

本文共 4781 字,大约阅读时间需要 15 分钟。

1. hdfs定义

HDFS is the primary distributed storage used by Hadoop applications. A HDFS cluster primarily consists of a NameNode that manages the file system metadata and DataNodes that store the actual data.

2. hdfs架构

HDFS Architecture

3. hdfs实例

  作为文件系统,文件的读写才是核心:

/** * 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. */import java.io.File;import java.io.IOException;import org.apache.hadoop.conf.Configuration;import org.apache.hadoop.fs.FileSystem;import org.apache.hadoop.fs.FSDataInputStream;import org.apache.hadoop.fs.FSDataOutputStream;import org.apache.hadoop.fs.Path;public class HadoopDFSFileReadWrite {    static void usage () {    System.out.println("Usage : HadoopDFSFileReadWrite 
"); System.exit(1); } static void printAndExit(String str) { System.err.println(str); System.exit(1); } public static void main (String[] argv) throws IOException { Configuration conf = new Configuration(); FileSystem fs = FileSystem.get(conf); if (argv.length != 2) usage(); // Hadoop DFS deals with Path Path inFile = new Path(argv[0]); Path outFile = new Path(argv[1]); // Check if input/output are valid if (!fs.exists(inFile)) printAndExit("Input file not found"); if (!fs.isFile(inFile)) printAndExit("Input should be a file"); if (fs.exists(outFile)) printAndExit("Output already exists"); // Read from and write to new file FSDataInputStream in = fs.open(inFile); FSDataOutputStream out = fs.create(outFile); byte buffer[] = new byte[256]; try { int bytesRead = 0; while ((bytesRead = in.read(buffer)) > 0) { out.write(buffer, 0, bytesRead); } } catch (IOException e) { System.out.println("Error while copying file"); } finally { in.close(); out.close(); } }}

上述示例,将一个文件的内容复制到另一个文件中,具体步骤如下:

第一步:创建一个文件系统实例,给该实例传递新的配置。

Configuration conf = new Configuration();FileSystem fs = FileSystem.get(conf);

第二步:获取文件路径

// Hadoop DFS deals with Path    Path inFile = new Path(argv[0]);    Path outFile = new Path(argv[1]);       // Check if input/output are valid    if (!fs.exists(inFile))      printAndExit("Input file not found");    if (!fs.isFile(inFile))      printAndExit("Input should be a file");    if (fs.exists(outFile))      printAndExit("Output already exists");

第三步:打开文件输入输出流,将输入流写到输出流中:

// Read from and write to new file    FSDataInputStream in = fs.open(inFile);    FSDataOutputStream out = fs.create(outFile);    byte buffer[] = new byte[256];    try {      int bytesRead = 0;      while ((bytesRead = in.read(buffer)) > 0) {        out.write(buffer, 0, bytesRead);      }    } catch (IOException e) {      System.out.println("Error while copying file");    } finally {      in.close();      out.close();    }

上面文件读写功能涉及到了文件系统FileSystem、配置文件Configuration、输入流/输出流FSDataInputStream/FSDataOutputStream

 4. 基本概念分析

    4.1 文件系统

  文件系统的层次结构如下所示:

  文件系统有两个重要的分支,一个是分布式文件系统,另一个是“本地”(映射到本地连接的磁盘)文件系统,本地磁盘适用于比较少的hadoop实例和测试。绝大部分情况下使用分布式文件系统,hadoop 分布式文件系统使用多个机器的系统,但对用户来说只有一个磁盘。它的容错性和大容量性使它非常有用。

  4.2 配置文件

  配置文件的层次结构如下:

我们关注的是HdfsConfiguration,其涉及到的配置文件有hdfs-default.xml和hdfs-site.xml:

static {    addDeprecatedKeys();    // adds the default resources    Configuration.addDefaultResource("hdfs-default.xml");    Configuration.addDefaultResource("hdfs-site.xml");  }

 

  4.3 输入/输出流

    输入/输出流和文件系统相对应,先看一下输入流:

  

其中,HdfsDataInputStream是FSDataInputStream的实现,其构造函数为:

public HdfsDataInputStream(DFSInputStream in) throws IOException {    super(in);  }
DFSInputStream层次结构如下图所示:

  在了解一下输出流:

  

其中,重点是HdfsDataOutputStream,其构造函数为:

public HdfsDataOutputStream(DFSOutputStream out, FileSystem.Statistics stats,      long startPosition) throws IOException {    super(out, stats, startPosition);  }
DFSOutputStream 的层次结构为:

 

参考文献:

【1】http://hadoop.apache.org/docs/r2.6.0/hadoop-project-dist/hadoop-hdfs/HdfsUserGuide.html

【2】http://hadoop.apache.org/docs/r2.6.0/hadoop-project-dist/hadoop-hdfs/HdfsDesign.html

【3】http://wiki.apache.org/hadoop/HadoopDfsReadWriteExample

【4】http://blog.csdn.net/gaoxingnengjisuan/article/details/11177049

你可能感兴趣的文章
性能测试
查看>>
阿里云服务器Linux CentOS安装配置(六)resin多端口配置、安装、部署
查看>>
jQuery对象与DOM对象之间的转换(转)
查看>>
asp.net跳转页面的三种方法比较
查看>>
Bzoj1076 [SCOI2008]奖励关
查看>>
JCo 指南
查看>>
git使用--pull代码时冲突
查看>>
1-3-1动态随屏幕变化而变化
查看>>
Reading papers_6(Pattern Recognition And Machine Learning一书,ing...)
查看>>
java mybatis 新增记录 与 insertSelective 保存问题
查看>>
cocos2d-x 搭建android开发环境记录
查看>>
列表与元组的区别
查看>>
关于野指针、空指针
查看>>
key_buffer_size设置注意事项
查看>>
C#对各种文件的操作-ini(2)
查看>>
JavaScript入门学习笔记(二)
查看>>
Project Euler 13 Large sum
查看>>
自动工作量资料档案库(AWR)报告的获得
查看>>
virtualBox中的centOS虚拟机硬盘扩容
查看>>
Android应用目录结构分析
查看>>