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上一篇在 Win7 虚拟机下搭建了 Hadoop2.6.0 伪分布式环境 (见 http://www.linuxidc.com/Linux/2015-08/120942.htm)。为了开发调试方便，本文介绍在 Eclipse 下搭建开发环境，连接和提交任务到 Hadoop 集群。
1. 环境
Eclipse 版本 Luna 4.4.1
安装插件 hadoop-eclipse-plugin-2.6.0.jar，下载后放到 eclipse/plugins 目录即可。
2. 配置插件
2.1 配置 hadoop 主目录
解压缩 hadoop-2.6.0.tar.gz 到 C:\Downloads\hadoop-2.6.0，在 eclipse 的 Windows->Preferences 的 Hadoop Map/Reduce 中设置安装目录。
2.2 配置插件
打开 Windows->Open Perspective 中的 Map/Reduce，在此 perspective 下进行 hadoop 程序开发。
打开 Windows->Show View 中的 Map/Reduce Locations，如下图右键选择 New Hadoop location…新建 hadoop 连接。
确认完成以后如下，eclipse 会连接 hadoop 集群。
如果连接成功，在 project explorer 的 DFS Locations 下会展现 hdfs 集群中的文件。
3. 开发 hadoop 程序
3.1 程序开发
开发一个 Sort 示例，对输入整数进行排序。输入文件格式是每行一个整数。
| 1 package com.ccb; | |
| 2 | |
| 3 /** | |
| 4 * Created by hp on 2015-7-20. | |
| 5 */ | |
| 6 | |
| 7 import java.io.IOException; | |
| 8 | |
| 9 import org.apache.hadoop.conf.Configuration; | |
| 10 import org.apache.hadoop.fs.FileSystem; | |
| 11 import org.apache.hadoop.fs.Path; | |
| 12 import org.apache.hadoop.io.IntWritable; | |
| 13 import org.apache.hadoop.io.Text; | |
| 14 import org.apache.hadoop.mapreduce.Job; | |
| 15 import org.apache.hadoop.mapreduce.Mapper; | |
| 16 import org.apache.hadoop.mapreduce.Reducer; | |
| 17 import org.apache.hadoop.mapreduce.lib.input.FileInputFormat; | |
| 18 import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat; | |
| 19 | |
| 20 public class Sort {21 | |
| 22 // 每行记录是一个整数。将 Text 文本转换为 IntWritable 类型，作为 map 的 key | |
| 23 public static class Map extends Mapper<Object, Text, IntWritable, IntWritable> {24 private static IntWritable data = new IntWritable(); | |
| 25 | |
| 26 // 实现 map 函数 | |
| 27 public void map(Object key, Text value, Context context) throws IOException, InterruptedException {28 String line = value.toString(); | |
| 29 data.set(Integer.parseInt(line)); | |
| 30 context.write(data, new IntWritable(1)); | |
| 31 } | |
| 32 } | |
| 33 | |
| 34 // reduce 之前 hadoop 框架会进行 shuffle 和排序，因此直接输出 key 即可。 | |
| 35 public static class Reduce extends Reducer<IntWritable, IntWritable, IntWritable, Text> {36 | |
| 37 // 实现 reduce 函数 | |
| 38 public void reduce(IntWritable key, Iterable<IntWritable> values, Context context) throws IOException, InterruptedException {39 for (IntWritable v : values) {40 context.write(key, new Text("")); | |
| 41 } | |
| 42 } | |
| 43 } | |
| 44 | |
| 45 public static void main(String[] args) throws Exception {46 Configuration conf = new Configuration(); | |
| 47 | |
| 48 // 指定 JobTracker 地址 | |
| 49 conf.set("mapred.job.tracker", "192.168.62.129:9001"); | |
| 50 if (args.length != 2) {51 System.err.println("Usage: Data Sort <in> <out>"); | |
| 52 System.exit(2); | |
| 53 } | |
| 54 System.out.println(args[0]); | |
| 55 System.out.println(args[1]); | |
| 56 | |
| 57 Job job = Job.getInstance(conf, "Data Sort"); | |
| 58 job.setJarByClass(Sort.class); | |
| 59 | |
| 60 // 设置 Map 和 Reduce 处理类 | |
| 61 job.setMapperClass(Map.class); | |
| 62 job.setReducerClass(Reduce.class); | |
| 63 | |
| 64 // 设置输出类型 | |
| 65 job.setOutputKeyClass(IntWritable.class); | |
| 66 job.setOutputValueClass(IntWritable.class); | |
| 67 | |
| 68 // 设置输入和输出目录 | |
| 69 FileInputFormat.addInputPath(job, new Path(args[0])); | |
| 70 FileOutputFormat.setOutputPath(job, new Path(args[1])); | |
| 71 System.exit(job.waitForCompletion(true) ? 0 : 1); | |
| 72 } | |
| 73 } |
3.2 配置文件
把 log4j.properties 和 hadoop 集群中的 core-site.xml 加入到 classpath 中。我的示例工程是 maven 组织，因此放到 src/main/resources 目录。
程序执行时会从 core-site.xml 中获取 hdfs 地址。
3.3 程序执行
右键选择 Run As -> Run Configurations…，在参数中填好输入输出目录，执行 Run 即可。
执行日志：
| 1 hdfs://192.168.62.129:9000/user/vm/sort_in | |
| 2 hdfs://192.168.62.129:9000/user/vm/sort_out | |
| 3 15/07/27 16:21:36 INFO Configuration.deprecation: session.id is deprecated. Instead, use dfs.metrics.session-id | |
| 4 15/07/27 16:21:36 INFO jvm.JvmMetrics: Initializing JVM Metrics with processName=JobTracker, sessionId= | |
| 5 15/07/27 16:21:36 WARN mapreduce.JobSubmitter: Hadoop command-line option parsing not performed. Implement the Tool interface and execute your application with ToolRunner to remedy this. | |
| 6 15/07/27 16:21:36 WARN mapreduce.JobSubmitter: No job jar file set. User classes may not be found. See Job or Job#setJar(String). | |
| 7 15/07/27 16:21:36 INFO input.FileInputFormat: Total input paths to process : 3 | |
| 8 15/07/27 16:21:36 INFO mapreduce.JobSubmitter: number of splits:3 | |
| 9 15/07/27 16:21:36 INFO Configuration.deprecation: mapred.job.tracker is deprecated. Instead, use mapreduce.jobtracker.address | |
| 10 15/07/27 16:21:37 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_local1592166400_0001 | |
| 11 15/07/27 16:21:37 INFO mapreduce.Job: The url to track the job: http://localhost:8080/ | |
| 12 15/07/27 16:21:37 INFO mapreduce.Job: Running job: job_local1592166400_0001 | |
| 13 15/07/27 16:21:37 INFO mapred.LocalJobRunner: OutputCommitter set in config null | |
| 14 15/07/27 16:21:37 INFO mapred.LocalJobRunner: OutputCommitter is org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter | |
| 15 15/07/27 16:21:37 INFO mapred.LocalJobRunner: Waiting for map tasks | |
| 16 15/07/27 16:21:37 INFO mapred.LocalJobRunner: Starting task: attempt_local1592166400_0001_m_000000_0 | |
| 17 15/07/27 16:21:37 INFO util.ProcfsBasedProcessTree: ProcfsBasedProcessTree currently is supported only on Linux. | |
| 18 15/07/27 16:21:37 INFO mapred.Task: Using ResourceCalculatorProcessTree : org.apache.hadoop.yarn.util.WindowsBasedProcessTree@4c90dbc4 | |
| 19 15/07/27 16:21:37 INFO mapred.MapTask: Processing split: hdfs://192.168.62.129:9000/user/vm/sort_in/file1:0+25 | |
| 20 15/07/27 16:21:37 INFO mapred.MapTask: (EQUATOR) 0 kvi 26214396(104857584) | |
| 21 15/07/27 16:21:37 INFO mapred.MapTask: mapreduce.task.io.sort.mb: 100 | |
| 22 15/07/27 16:21:37 INFO mapred.MapTask: soft limit at 83886080 | |
| 23 15/07/27 16:21:37 INFO mapred.MapTask: bufstart = 0; bufvoid = 104857600 | |
| 24 15/07/27 16:21:37 INFO mapred.MapTask: kvstart = 26214396; length = 6553600 | |
| 25 15/07/27 16:21:37 INFO mapred.MapTask: Map output collector class = org.apache.hadoop.mapred.MapTask$MapOutputBuffer | |
| 26 15/07/27 16:21:38 INFO mapred.LocalJobRunner: | |
| 27 15/07/27 16:21:38 INFO mapred.MapTask: Starting flush of map output | |
| 28 15/07/27 16:21:38 INFO mapred.MapTask: Spilling map output | |
| 29 15/07/27 16:21:38 INFO mapred.MapTask: bufstart = 0; bufend = 56; bufvoid = 104857600 | |
| 30 15/07/27 16:21:38 INFO mapred.MapTask: kvstart = 26214396(104857584); kvend = 26214372(104857488); length = 25/6553600 | |
| 31 15/07/27 16:21:38 INFO mapred.MapTask: Finished spill 0 | |
| 32 15/07/27 16:21:38 INFO mapred.Task: Task:attempt_local1592166400_0001_m_000000_0 is done. And is in the process of committing | |
| 33 15/07/27 16:21:38 INFO mapred.LocalJobRunner: map | |
| 34 15/07/27 16:21:38 INFO mapred.Task: Task 'attempt_local1592166400_0001_m_000000_0' done. | |
| 35 15/07/27 16:21:38 INFO mapred.LocalJobRunner: Finishing task: attempt_local1592166400_0001_m_000000_0 | |
| 36 15/07/27 16:21:38 INFO mapred.LocalJobRunner: Starting task: attempt_local1592166400_0001_m_000001_0 | |
| 37 15/07/27 16:21:38 INFO util.ProcfsBasedProcessTree: ProcfsBasedProcessTree currently is supported only on Linux. | |
| 38 15/07/27 16:21:38 INFO mapred.Task: Using ResourceCalculatorProcessTree : org.apache.hadoop.yarn.util.WindowsBasedProcessTree@69e4d7d | |
| 39 15/07/27 16:21:38 INFO mapred.MapTask: Processing split: hdfs://192.168.62.129:9000/user/vm/sort_in/file2:0+15 | |
| 40 15/07/27 16:21:38 INFO mapred.MapTask: (EQUATOR) 0 kvi 26214396(104857584) | |
| 41 15/07/27 16:21:38 INFO mapred.MapTask: mapreduce.task.io.sort.mb: 100 | |
| 42 15/07/27 16:21:38 INFO mapred.MapTask: soft limit at 83886080 | |
| 43 15/07/27 16:21:38 INFO mapred.MapTask: bufstart = 0; bufvoid = 104857600 | |
| 44 15/07/27 16:21:38 INFO mapred.MapTask: kvstart = 26214396; length = 6553600 | |
| 45 15/07/27 16:21:38 INFO mapred.MapTask: Map output collector class = org.apache.hadoop.mapred.MapTask$MapOutputBuffer | |
| 46 15/07/27 16:21:38 INFO mapred.LocalJobRunner: | |
| 47 15/07/27 16:21:38 INFO mapred.MapTask: Starting flush of map output | |
| 48 15/07/27 16:21:38 INFO mapred.MapTask: Spilling map output | |
| 49 15/07/27 16:21:38 INFO mapred.MapTask: bufstart = 0; bufend = 32; bufvoid = 104857600 | |
| 50 15/07/27 16:21:38 INFO mapred.MapTask: kvstart = 26214396(104857584); kvend = 26214384(104857536); length = 13/6553600 | |
| 51 15/07/27 16:21:38 INFO mapred.MapTask: Finished spill 0 | |
| 52 15/07/27 16:21:38 INFO mapred.Task: Task:attempt_local1592166400_0001_m_000001_0 is done. And is in the process of committing | |
| 53 15/07/27 16:21:38 INFO mapred.LocalJobRunner: map | |
| 54 15/07/27 16:21:38 INFO mapred.Task: Task 'attempt_local1592166400_0001_m_000001_0' done. | |
| 55 15/07/27 16:21:38 INFO mapred.LocalJobRunner: Finishing task: attempt_local1592166400_0001_m_000001_0 | |
| 56 15/07/27 16:21:38 INFO mapred.LocalJobRunner: Starting task: attempt_local1592166400_0001_m_000002_0 | |
| 57 15/07/27 16:21:38 INFO mapreduce.Job: Job job_local1592166400_0001 running in uber mode : false | |
| 58 15/07/27 16:21:38 INFO util.ProcfsBasedProcessTree: ProcfsBasedProcessTree currently is supported only on Linux. | |
| 59 15/07/27 16:21:38 INFO mapreduce.Job: map 100% reduce 0% | |
| 60 15/07/27 16:21:38 INFO mapred.Task: Using ResourceCalculatorProcessTree : org.apache.hadoop.yarn.util.WindowsBasedProcessTree@4e931efa | |
| 61 15/07/27 16:21:38 INFO mapred.MapTask: Processing split: hdfs://192.168.62.129:9000/user/vm/sort_in/file3:0+8 | |
| 62 15/07/27 16:21:39 INFO mapred.MapTask: (EQUATOR) 0 kvi 26214396(104857584) | |
| 63 15/07/27 16:21:39 INFO mapred.MapTask: mapreduce.task.io.sort.mb: 100 | |
| 64 15/07/27 16:21:39 INFO mapred.MapTask: soft limit at 83886080 | |
| 65 15/07/27 16:21:39 INFO mapred.MapTask: bufstart = 0; bufvoid = 104857600 | |
| 66 15/07/27 16:21:39 INFO mapred.MapTask: kvstart = 26214396; length = 6553600 | |
| 67 15/07/27 16:21:39 INFO mapred.MapTask: Map output collector class = org.apache.hadoop.mapred.MapTask$MapOutputBuffer | |
| 68 15/07/27 16:21:39 INFO mapred.LocalJobRunner: | |
| 69 15/07/27 16:21:39 INFO mapred.MapTask: Starting flush of map output | |
| 70 15/07/27 16:21:39 INFO mapred.MapTask: Spilling map output | |
| 71 15/07/27 16:21:39 INFO mapred.MapTask: bufstart = 0; bufend = 24; bufvoid = 104857600 | |
| 72 15/07/27 16:21:39 INFO mapred.MapTask: kvstart = 26214396(104857584); kvend = 26214388(104857552); length = 9/6553600 | |
| 73 15/07/27 16:21:39 INFO mapred.MapTask: Finished spill 0 | |
| 74 15/07/27 16:21:39 INFO mapred.Task: Task:attempt_local1592166400_0001_m_000002_0 is done. And is in the process of committing | |
| 75 15/07/27 16:21:39 INFO mapred.LocalJobRunner: map | |
| 76 15/07/27 16:21:39 INFO mapred.Task: Task 'attempt_local1592166400_0001_m_000002_0' done. | |
| 77 15/07/27 16:21:39 INFO mapred.LocalJobRunner: Finishing task: attempt_local1592166400_0001_m_000002_0 | |
| 78 15/07/27 16:21:39 INFO mapred.LocalJobRunner: map task executor complete. | |
| 79 15/07/27 16:21:39 INFO mapred.LocalJobRunner: Waiting for reduce tasks | |
| 80 15/07/27 16:21:39 INFO mapred.LocalJobRunner: Starting task: attempt_local1592166400_0001_r_000000_0 | |
| 81 15/07/27 16:21:39 INFO util.ProcfsBasedProcessTree: ProcfsBasedProcessTree currently is supported only on Linux. | |
| 82 15/07/27 16:21:39 INFO mapred.Task: Using ResourceCalculatorProcessTree : org.apache.hadoop.yarn.util.WindowsBasedProcessTree@49250068 | |
| 83 15/07/27 16:21:39 INFO mapred.ReduceTask: Using ShuffleConsumerPlugin: org.apache.hadoop.mapreduce.task.reduce.Shuffle@2129404b | |
| 84 15/07/27 16:21:39 INFO reduce.MergeManagerImpl: MergerManager: memoryLimit=652528832, maxSingleShuffleLimit=163132208, mergeThreshold=430669056, ioSortFactor=10, memToMemMergeOutputsThreshold=10 | |
| 85 15/07/27 16:21:39 INFO reduce.EventFetcher: attempt_local1592166400_0001_r_000000_0 Thread started: EventFetcher for fetching Map Completion Events | |
| 86 15/07/27 16:21:40 INFO reduce.LocalFetcher: localfetcher#1 about to shuffle output of map attempt_local1592166400_0001_m_000002_0 decomp: 32 len: 36 to MEMORY | |
| 87 15/07/27 16:21:40 INFO reduce.InMemoryMapOutput: Read 32 bytes from map-output for attempt_local1592166400_0001_m_000002_0 | |
| 88 15/07/27 16:21:40 INFO reduce.MergeManagerImpl: closeInMemoryFile -> map-output of size: 32, inMemoryMapOutputs.size() -> 1, commitMemory -> 0, usedMemory ->32 | |
| 89 15/07/27 16:21:40 INFO reduce.LocalFetcher: localfetcher#1 about to shuffle output of map attempt_local1592166400_0001_m_000000_0 decomp: 72 len: 76 to MEMORY | |
| 90 15/07/27 16:21:40 INFO reduce.InMemoryMapOutput: Read 72 bytes from map-output for attempt_local1592166400_0001_m_000000_0 | |
| 91 15/07/27 16:21:40 INFO reduce.MergeManagerImpl: closeInMemoryFile -> map-output of size: 72, inMemoryMapOutputs.size() -> 2, commitMemory -> 32, usedMemory ->104 | |
| 92 15/07/27 16:21:40 INFO reduce.LocalFetcher: localfetcher#1 about to shuffle output of map attempt_local1592166400_0001_m_000001_0 decomp: 42 len: 46 to MEMORY | |
| 93 15/07/27 16:21:40 INFO reduce.InMemoryMapOutput: Read 42 bytes from map-output for attempt_local1592166400_0001_m_000001_0 | |
| 94 15/07/27 16:21:40 INFO reduce.MergeManagerImpl: closeInMemoryFile -> map-output of size: 42, inMemoryMapOutputs.size() -> 3, commitMemory -> 104, usedMemory ->146 | |
| 95 15/07/27 16:21:40 INFO reduce.EventFetcher: EventFetcher is interrupted.. Returning | |
| 96 15/07/27 16:21:40 INFO mapred.LocalJobRunner: 3 / 3 copied. | |
| 97 15/07/27 16:21:40 INFO reduce.MergeManagerImpl: finalMerge called with 3 in-memory map-outputs and 0 on-disk map-outputs | |
| 98 15/07/27 16:21:40 INFO mapred.Merger: Merging 3 sorted segments | |
| 99 15/07/27 16:21:40 INFO mapred.Merger: Down to the last merge-pass, with 3 segments left of total size: 128 bytes | |
| 100 15/07/27 16:21:40 INFO reduce.MergeManagerImpl: Merged 3 segments, 146 bytes to disk to satisfy reduce memory limit | |
| 101 15/07/27 16:21:40 INFO reduce.MergeManagerImpl: Merging 1 files, 146 bytes from disk | |
| 102 15/07/27 16:21:40 INFO reduce.MergeManagerImpl: Merging 0 segments, 0 bytes from memory into reduce | |
| 103 15/07/27 16:21:40 INFO mapred.Merger: Merging 1 sorted segments | |
| 104 15/07/27 16:21:40 INFO mapred.Merger: Down to the last merge-pass, with 1 segments left of total size: 136 bytes | |
| 105 15/07/27 16:21:40 INFO mapred.LocalJobRunner: 3 / 3 copied. | |
| 106 15/07/27 16:21:40 INFO Configuration.deprecation: mapred.skip.on is deprecated. Instead, use mapreduce.job.skiprecords | |
| 107 15/07/27 16:21:40 INFO mapred.Task: Task:attempt_local1592166400_0001_r_000000_0 is done. And is in the process of committing | |
| 108 15/07/27 16:21:40 INFO mapred.LocalJobRunner: 3 / 3 copied. | |
| 109 15/07/27 16:21:40 INFO mapred.Task: Task attempt_local1592166400_0001_r_000000_0 is allowed to commit now | |
| 110 15/07/27 16:21:40 INFO output.FileOutputCommitter: Saved output of task 'attempt_local1592166400_0001_r_000000_0' to hdfs://192.168.62.129:9000/user/vm/sort_out/_temporary/0/task_local1592166400_0001_r_000000 | |
| 111 15/07/27 16:21:40 INFO mapred.LocalJobRunner: reduce > reduce | |
| 112 15/07/27 16:21:40 INFO mapred.Task: Task 'attempt_local1592166400_0001_r_000000_0' done. | |
| 113 15/07/27 16:21:40 INFO mapred.LocalJobRunner: Finishing task: attempt_local1592166400_0001_r_000000_0 | |
| 114 15/07/27 16:21:40 INFO mapred.LocalJobRunner: reduce task executor complete. | |
| 115 15/07/27 16:21:40 INFO mapreduce.Job: map 100% reduce 100% | |
| 116 15/07/27 16:21:41 INFO mapreduce.Job: Job job_local1592166400_0001 completed successfully | |
| 117 15/07/27 16:21:41 INFO mapreduce.Job: Counters: 38 | |
| 118 File System Counters | |
| 119 FILE: Number of bytes read=3834 | |
| 120 FILE: Number of bytes written=1017600 | |
| 121 FILE: Number of read operations=0 | |
| 122 FILE: Number of large read operations=0 | |
| 123 FILE: Number of write operations=0 | |
| 124 HDFS: Number of bytes read=161 | |
| 125 HDFS: Number of bytes written=62 | |
| 126 HDFS: Number of read operations=41 | |
| 127 HDFS: Number of large read operations=0 | |
| 128 HDFS: Number of write operations=10 | |
| 129 Map-Reduce Framework | |
| 130 Map input records=14 | |
| 131 Map output records=14 | |
| 132 Map output bytes=112 | |
| 133 Map output materialized bytes=158 | |
| 134 Input split bytes=339 | |
| 135 Combine input records=0 | |
| 136 Combine output records=0 | |
| 137 Reduce input groups=13 | |
| 138 Reduce shuffle bytes=158 | |
| 139 Reduce input records=14 | |
| 140 Reduce output records=14 | |
| 141 Spilled Records=28 | |
| 142 Shuffled Maps =3 | |
| 143 Failed Shuffles=0 | |
| 144 Merged Map outputs=3 | |
| 145 GC time elapsed (ms)=10 | |
| 146 CPU time spent (ms)=0 | |
| 147 Physical memory (bytes) snapshot=0 | |
| 148 Virtual memory (bytes) snapshot=0 | |
| 149 Total committed heap usage (bytes)=1420296192 | |
| 150 Shuffle Errors | |
| 151 BAD_ID=0 | |
| 152 CONNECTION=0 | |
| 153 IO_ERROR=0 | |
| 154 WRONG_LENGTH=0 | |
| 155 WRONG_MAP=0 | |
| 156 WRONG_REDUCE=0 | |
| 157 File Input Format Counters | |
| 158 Bytes Read=48 | |
| 159 File Output Format Counters | |
| 160 Bytes Written=62 |
4. 可能出现的问题
4.1 权限问题，无法访问 HDFS
修改集群 hdfs-site.xml 配置，关闭 hadoop 集群的权限校验。
|
<property> <name>dfs.permissions</name> <value>false</value> </property> |
4.2 出现 NullPointerException 异常
在环境变量中配置 %HADOOP_HOME% 为 C:\Download\hadoop-2.6.0\
下载 winutils.exe 和 hadoop.dll 到 C:\Download\hadoop-2.6.0\bin
注意：网上很多资料说的是下载 hadoop-common-2.2.0-bin-master.zip，但很多不支持 hadoop2.6.0 版本。需要下载支持 hadoop2.6.0 版本的程序。
4.3 程序执行失败
需要执行 Run on Hadoop，而不是 Java Application。
Ubuntu14.04 下 Hadoop2.4.1 单机 / 伪分布式安装配置教程 http://www.linuxidc.com/Linux/2015-02/113487.htm
CentOS 安装和配置 Hadoop2.2.0 http://www.linuxidc.com/Linux/2014-01/94685.htm
Ubuntu 13.04 上搭建 Hadoop 环境 http://www.linuxidc.com/Linux/2013-06/86106.htm
Ubuntu 12.10 +Hadoop 1.2.1 版本集群配置 http://www.linuxidc.com/Linux/2013-09/90600.htm
Ubuntu 上搭建 Hadoop 环境（单机模式 + 伪分布模式）http://www.linuxidc.com/Linux/2013-01/77681.htm
Ubuntu 下 Hadoop 环境的配置 http://www.linuxidc.com/Linux/2012-11/74539.htm
单机版搭建 Hadoop 环境图文教程详解 http://www.linuxidc.com/Linux/2012-02/53927.htm
更多 Hadoop 相关信息见 Hadoop 专题页面 http://www.linuxidc.com/topicnews.aspx?tid=13
本文永久更新链接地址 ：http://www.linuxidc.com/Linux/2015-08/120943.htm
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