环境:Vmware 8.0 和Ubuntu11.04
Hadoop 实战之运行PutMerge----把本地一组文件合并后复制到HDFS文件
第一步:首先创建一个工程命名为HadoopTest.目录结构如下图:
第二步: 在/home/tanglg1987目录下新建一个start.sh脚本文件,每次启动虚拟机都要删除/tmp目录下的全部文件,重新格式化namenode,代码如下:
sudo rm -rf /tmp/* rm -rf /home/tanglg1987/hadoop-0.20.2/logs hadoop namenode -format hadoop datanode -format start-all.sh hadoop fs -mkdir input hadoop dfsadmin -safemode leave
第三步:给start.sh增加执行权限并启动hadoop伪分布式集群,代码如下:
chmod 777 /home/tanglg1987/ start.sh ./start.sh
执行过程如下:
12/10/15 23:05:38 INFO namenode.NameNode: STARTUP_MSG:
/************************************************************
STARTUP_MSG: Starting NameNode
STARTUP_MSG: host = tanglg1987/127.0.1.1
STARTUP_MSG: args = [-format]
STARTUP_MSG: version = 0.20.2
STARTUP_MSG: build = https://svn.apache.org/repos/asf/hadoop/common/branches/branch-0.20 -r 911707; compiled by 'chrisdo' on Fri Feb 19 08:07:34 UTC 2010
************************************************************/
12/10/15 23:05:39 INFO namenode.FSNamesystem: fsOwner=tanglg1987,tanglg1987,adm,dialout,cdrom,plugdev,lpadmin,admin,sambashare
12/10/15 23:05:39 INFO namenode.FSNamesystem: supergroup=supergroup
12/10/15 23:05:39 INFO namenode.FSNamesystem: isPermissionEnabled=true
12/10/15 23:05:39 INFO common.Storage: Image file of size 100 saved in 0 seconds.
12/10/15 23:05:39 INFO common.Storage: Storage directory /tmp/hadoop-tanglg1987/dfs/name has been successfully formatted.
12/10/15 23:05:39 INFO namenode.NameNode: SHUTDOWN_MSG:
/************************************************************
SHUTDOWN_MSG: Shutting down NameNode at tanglg1987/127.0.1.1
************************************************************/
12/10/15 23:05:40 INFO datanode.DataNode: STARTUP_MSG:
/************************************************************
STARTUP_MSG: Starting DataNode
STARTUP_MSG: host = tanglg1987/127.0.1.1
STARTUP_MSG: args = [-format]
STARTUP_MSG: version = 0.20.2
STARTUP_MSG: build = https://svn.apache.org/repos/asf/hadoop/common/branches/branch-0.20 -r 911707; compiled by 'chrisdo' on Fri Feb 19 08:07:34 UTC 2010
************************************************************/
Usage: java DataNode
[-rollback]
12/10/15 23:05:40 INFO datanode.DataNode: SHUTDOWN_MSG:
/************************************************************
SHUTDOWN_MSG: Shutting down DataNode at tanglg1987/127.0.1.1
************************************************************/
starting namenode, logging to /home/tanglg1987/hadoop-0.20.2/bin/../logs/hadoop-tanglg1987-namenode-tanglg1987.out
localhost: starting datanode, logging to /home/tanglg1987/hadoop-0.20.2/bin/../logs/hadoop-tanglg1987-datanode-tanglg1987.out
localhost: starting secondarynamenode, logging to /home/tanglg1987/hadoop-0.20.2/bin/../logs/hadoop-tanglg1987-secondarynamenode-tanglg1987.out
starting jobtracker, logging to /home/tanglg1987/hadoop-0.20.2/bin/../logs/hadoop-tanglg1987-jobtracker-tanglg1987.out
localhost: starting tasktracker, logging to /home/tanglg1987/hadoop-0.20.2/bin/../logs/hadoop-tanglg1987-tasktracker-tanglg1987.out
Safe mode is OFF
第四步:在/home/tanglg1987/input 目录下新建两个文件file01.txt,file02.txt
file01.txt 内容如下:
hello hadoop
file02.txt 内容如下:
hello world
第五步:新建一个PutMerge.java,代码如下:
package com.baison.action; import java.io.IOException; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.fs.FSDataInputStream; import org.apache.hadoop.fs.FSDataOutputStream; import org.apache.hadoop.fs.FileStatus; import org.apache.hadoop.fs.FileSystem; import org.apache.hadoop.fs.Path; public class PutMerge { public static void main(String[] args) throws IOException { String [] arg={"/home/tanglg1987/input","hdfs://localhost:9100/user/tanglg1987/output/sum.txt"}; Configuration conf = new Configuration(); FileSystem local = FileSystem.getLocal(conf); Path inputDir = new Path(arg[0]); Path hdfsFile = new Path(arg[1]); try { FileStatus[] inputFiles = local.listStatus(inputDir); FileSystem hdfs = hdfsFile.getFileSystem(conf); FSDataOutputStream out = hdfs.create(hdfsFile); for (int i=0; i<inputFiles.length; i++) { System.out.println(inputFiles[i].getPath().getName()); FSDataInputStream in = local.open(inputFiles[i].getPath()); byte buffer[] = new byte[256]; int bytesRead = 0; while( (bytesRead = in.read(buffer)) > 0) { out.write(buffer, 0, bytesRead); } in.close(); } out.close(); } catch (IOException e) { System.out.println("error:: "+e.getMessage()); e.printStackTrace(); } } }
第六步:Run On Hadoop并查看结果集,运行结果如下: