hdfs源码分析第一弹
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
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 <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,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
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