hdfs源碼分析第一彈


1. hdfs定義

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架構

HDFS Architecture

3. hdfs實例

  作為文件系統,文件的讀寫才是核心:

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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 <inputfile> <output file>");
    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,將一個文件的內容復制到另一個文件中,具體步驟如下:

第一步:創建一個文件系統實例,給該實例傳遞新的配置。

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

第二步:獲取文件路徑

// 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:打開文件輸入輸出流,將輸入流寫到輸出流中:

    // 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();
    }

上面文件讀寫功能涉及到了文件系統FileSystem、配置文件Configuration、輸入流/輸出流FSDataInputStream/FSDataOutputStream

 4. 基本概念分析

    4.1 文件系統

  文件系統的層次結構如下所示:

  文件系統有兩個重要的分支,一個是分布式文件系統,另一個是“本地”(映射到本地連接的磁盤)文件系統,本地磁盤適用於比較少的hadoop實例和測試。絕大部分情況下使用分布式文件系統,hadoop 分布式文件系統使用多個機器的系統,但對用戶來說只有一個磁盤。它的容錯性和大容量性使它非常有用。

  4.2 配置文件

  配置文件的層次結構如下:

我們關注的是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 輸入/輸出流

    輸入/輸出流和文件系統相對應,先看一下輸入流:

  

其中,HdfsDataInputStream是FSDataInputStream的實現,其構造函數為:

  public HdfsDataInputStream(DFSInputStream in) throws IOException {
    super(in);
  }
DFSInputStream層次結構如下圖所示:

  在了解一下輸出流:

  

其中,重點是HdfsDataOutputStream,其構造函數為:

  public HdfsDataOutputStream(DFSOutputStream out, FileSystem.Statistics stats,
      long startPosition) throws IOException {
    super(out, stats, startPosition);
  }
DFSOutputStream 的層次結構為:

 

參考文獻:

【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


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