首先说一下本人的环境:
Windows7 64位系统
Spring Tool Suite Version: 3.4.0.RELEASE
Hadoop2.6.0
Hadoop2.x之后没有Eclipse插件工具,我们就不能在Eclipse上调试代码,我们要把写好的java代码的MapReduce打包成jar然后在Linux上运行,所以这种不方便我们调试代码,所以我们自己编译一个Eclipse插件,方便我们在我们本地上调试,经过hadoop1.x的发展,编译hadoop2.x版本的eclipse插件比之前简单多了。接下来我 们开始编译Hadoop-eclipse-plugin插件,并在Eclipse开发Hadoop。
1) 安装jdk
2) 配置环境变量
JAVA_HOME、CLASSPATH、PATH等设置,这里就不多介绍,网上很多资料
1).下载eclipse-jee-juno-SR2.rar
2).解压到本地磁盘,如图所示:
1)下载
http://ant.apache.org/bindownload.cgi
apache-ant-1.9.4-bin.zip
2)解压到一个盘,如图所示:
3).环境变量的配置
新建ANT_HOME=E:\ant\apache-ant-1.9.4-bin\apache-ant-1.9.4
在PATH后面加;%ANT_HOME%\bin
4)cmd 测试一下是否配置正确
ant version 如图所示:
1).下载hadoop包
hadoop-2.6.0.tar.gz
解压到本地磁盘,如图所示:
下载hadoop2x-eclipse-plugin源代码
1)目前hadoop2的eclipse-plugins源代码由github脱管,下载地址是https://github.com/winghc/hadoop2x-eclipse-plugin,然后在右侧的Download ZIP连接点击下载,如图所示:
2)下载hadoop2x-eclipse-plugin-master.zip
解压到本地磁盘,如图所示:
antjar -Dversion=2.6.0 -Declipse.home=F:\tool\eclipse-jee-juno-SR2\eclipse-jee-juno-SR2 -Dhadoop.home=E:\hadoop\hadoop-2.6.0\hadoop-2.6.0,如图所示:
1)点击Window-->Show View -->MapReduce Tools 点击Map/ReduceLocation
2)点击Map/ReduceLocation选项卡,点击右边小象图标,打开Hadoop Location配置窗口: 输入Location Name,任意名称即可.配置Map/Reduce Master和DFS Mastrer,Host和Port配置成hdfs-site.xml与core-site.xml的设置一致即可。
1.右击New->Map/Reduce Project
2.新建WordCount.java(在Hadoop的share目录下找到mapreduce的案例,copy过来)
3.在hdfs创建一个input目录(输出目录可以不用创建,运行MR是会自动创建),并上传一个file01文件(随便写几个单词)
hdfs dfs -mkdir –p /user/root/input
hdfs dfs -mkdir -p /user/root/output
hadoop fs -put file01 /input
4.点击WordCount.java右击-->Run As-->Run COnfigurations 设置输入和输出目录路径,如图所示:
5.点击WordCount.java右击-->Run As-->Run on Hadoop
然后到output/count目录下,有一个统计文件,并查看结果,所以配置成功。
问题一.An internal error occurred during: "Map/Reducelocation status updater".java.lang.NullPointerException
我们hadoop-eclipse-plugin-2.6.0.jar放到Eclipse的plugins目录下,我们的Eclipse目录是F:\tool\eclipse-jee-juno-SR2\eclipse-jee-juno-SR2\plugins,重启一下Eclipse,然后,打开Window-->Preferens,可以看到Hadoop Map/Reduc选项,然后点击出现了An internal error occurredduring: "Map/Reduce location status updater".java.lang.NullPointerException,如图所示:
解决:
我们发现刚配置部署的Hadoop2还没创建输入和输出目录,先在hdfs上建个文件夹 。
#bin/hdfs dfs -mkdir –p /user/root/input
#bin/hdfs dfs -mkdir -p /user/root/output
我们在Eclipse的DFS Locations目录下看到我们这两个目录,如图所示:
问题二.Exception in thread "main" java.lang.NullPointerException atjava.lang.ProcessBuilder.start(Unknown Source)
运行Hadoop2的WordCount.java代码时出现了这样错误,
1 2 3 4 5 6 7 8 9 10 | log4j:WARNPlease initialize the log4j system properly. log4j:WARN Seehttp: //logging.apache.org/log4j/1.2/faq.html#noconfig for more info. Exception in thread "main" java.lang.NullPointerException atjava.lang.ProcessBuilder.start(Unknown Source) atorg.apache.hadoop.util.Shell.runCommand(Shell.java: 482 ) atorg.apache.hadoop.util.Shell.run(Shell.java: 455 ) atorg.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java: 715 ) atorg.apache.hadoop.util.Shell.execCommand(Shell.java: 808 ) atorg.apache.hadoop.util.Shell.execCommand(Shell.java: 791 ) at |
分析:
下载Hadoop2以上版本时,在Hadoop2的bin目录下没有winutils.exe
解决:
1.下载http://pan.baidu.com/s/1qWG7XxU下载Hadoop2.6.0-eclipse插件.zip,然后解压后,把Hadoop2.6.0-eclipse插件.zip\eclipse插件\2.4以后的目录中的winutils.exe复制Hadoop2/bin目录下。如图所示:
2.Eclipse-》window-》Preferences 下的Hadoop Map/Peduce 把下载放在我们的磁盘的Hadoop目录引进来,如图所示:
3.Hadoop2配置变量环境HADOOP_HOME 和path,如图所示:
问题三.Exception in thread "main"java.lang.UnsatisfiedLinkError:org.apache.hadoop.io.nativeio.NativeIO$Windows.access0(Ljava/lang/String;I)Z
当我们解决了问题三时,在运行WordCount.java代码时,出现这样的问题
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | log4j:WARN No appenders could be found forlogger (org.apache.hadoop.metrics2.lib.MutableMetricsFactory). log4j:WARN Please initialize the log4jsystem properly. log4j:WARN Seehttp: //logging.apache.org/log4j/1.2/faq.html#noconfig for more info. Exception in thread "main" java.lang.UnsatisfiedLinkError:org.apache.hadoop.io.nativeio.NativeIO$Windows.access0(Ljava/lang/String;I)Z atorg.apache.hadoop.io.nativeio.NativeIO$Windows.access0(Native Method) atorg.apache.hadoop.io.nativeio.NativeIO$Windows.access(NativeIO.java: 557 ) atorg.apache.hadoop.fs.FileUtil.canRead(FileUtil.java: 977 ) atorg.apache.hadoop.util.DiskChecker.checkAccessByFileMethods(DiskChecker.java: 187 ) atorg.apache.hadoop.util.DiskChecker.checkDirAccess(DiskChecker.java: 174 ) atorg.apache.hadoop.util.DiskChecker.checkDir(DiskChecker.java: 108 ) atorg.apache.hadoop.fs.LocalDirAllocator$AllocatorPerContext.confChanged(LocalDirAllocator.java: 285 ) atorg.apache.hadoop.fs.LocalDirAllocator$AllocatorPerContext.getLocalPathForWrite(LocalDirAllocator.java: 344 ) atorg.apache.hadoop.fs.LocalDirAllocator.getLocalPathForWrite(LocalDirAllocator.java: 150 ) atorg.apache.hadoop.fs.LocalDirAllocator.getLocalPathForWrite(LocalDirAllocator.java: 131 ) atorg.apache.hadoop.fs.LocalDirAllocator.getLocalPathForWrite(LocalDirAllocator.java: 115 ) atorg.apache.hadoop.mapred.LocalDistributedCacheManager.setup(LocalDistributedCacheManager.java: 131 ) |
分析:
C:\Windows\System32下缺少hadoop.dll,把这个文件拷贝到C:\Windows\System32下面即可。
解决:
将压缩包中的hadoop.dll放到C:\Windows\System32下,然后重启电脑,也许还没那么简单,还是出现这样的问题。如果这个还是没解决,最好在%HADOOP_HOME%/bin目录下面也复制一份。
我们在继续分析:
我们在出现错误的的atorg.apache.hadoop.io.nativeio.NativeIO$Windows.access(NativeIO.java:557)我们来看这个类NativeIO的557行,如图所示:
Windows的唯一方法用于检查当前进程的请求,在给定的路径的访问权限,所以我们先给以能进行访问,我们自己先修改源代码,return true 时允许访问。我们下载对应hadoop源代码,hadoop-2.6.0-src.tar.gz解压,hadoop-2.6.0-src\hadoop-common-project\hadoop-common\src\main\java\org\apache\hadoop\io\nativeio下NativeIO.java 复制到对应的Eclipse的project,然后修改557行为return true如图所示:
问题四:org.apache.hadoop.security.AccessControlException: Permissiondenied: user=zhengcy, access=WRITE,inode="/user/root/output":root:supergroup:drwxr-xr-x
我们在执行运行WordCount.java代码时,出现这样的问题
1 2 3 4 5 6 7 8 9 10 11 12 13 | 2014 - 12 - 18 16 : 03 : 24 , 092 WARN (org.apache.hadoop.mapred.LocalJobRunner: 560 ) - job_local374172562_0001 org.apache.hadoop.security.AccessControlException: Permission denied: user=zhengcy, access=WRITE, inode= "/user/root/output" :root:supergroup:drwxr-xr-x at org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.checkFsPermission(FSPermissionChecker.java: 271 ) at org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.check(FSPermissionChecker.java: 257 ) at org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.check(FSPermissionChecker.java: 238 ) at org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.checkPermission(FSPermissionChecker.java: 179 ) at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.checkPermission(FSNamesystem.java: 6512 ) at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.checkPermission(FSNamesystem.java: 6494 ) at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.checkAncestorAccess(FSNamesystem.java: 6446 ) at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.mkdirsInternal(FSNamesystem.java: 4248 ) at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.mkdirsInt(FSNamesystem.java: 4218 ) at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.mkdirs(FSNamesystem.java: 4191 ) at org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.mkdirs(NameNodeRpcServer.java: 813 ) |
分析:
我们没权限访问output目录。
解决:
我们 在设置hdfs配置的目录是在hdfs-site.xml配置hdfs文件存放的地方,我在hadoop伪分布式部署那边有介绍过,我们在这边在复习一下,如图所示:
我们在这个etc/hadoop下的hdfs-site.xml添加
设置没有权限,不过我们在正式的 服务器上不能这样设置。
问题五:File/usr/root/input/file01._COPYING_ could only be replicated to 0 nodes instead ofminRepLication (=1) There are 0 datanode(s) running and no node(s) are excludedin this operation
如图所示:
分析:
我们在第一次执行#hadoop namenode –format 完然后在执行#sbin/start-all.sh
在执行#jps,能看到Datanode,在执行#hadoop namenode –format然后执行#jps这时看不到Datanode ,如图所示:
然后我们想把文本放到输入目录执行bin/hdfs dfs -put/usr/local/hadoop/hadoop-2.6.0/test/* /user/root/input 把/test/*文件上传到hdfs的/user/root/input中,出现这样的问题,
解决:
是我们执行太多次了hadoopnamenode –format,在创建了多个,我们对应的hdfs目录删除hdfs-site.xml配置的保存datanode和namenode目录。
问题六:在复制了hadoop.dll后,运行WordCount,发现运行一会没有任何信息输出就结束了
解决:可以写一个log4j日志文件,查看一下日志的输出,可能从输出的日志中发现问题。
内容写为:
1 2 3 4 5 6 7 8 9 10 11 | log4j.rootLogger=debug,stdout,R log4j.appender.stdout=org.apache.log4j.ConsoleAppender log4j.appender.stdout.layout=org.apache.log4j.PatternLayout log4j.appender.stdout.layout.ConversionPattern=%5p - %m%n log4j.appender.R=org.apache.log4j.RollingFileAppender log4j.appender.R.File=mapreduce_test.log log4j.appender.R.MaxFileSize=1MB log4j.appender.R.MaxBackupIndex= 1 log4j.appender.R.layout=org.apache.log4j.PatternLayout log4j.appender.R.layout.ConversionPattern=%p %t %c - %m%n log4j.logger.com.codefutures=DEBUG |
问题七:有了log4j日志输出后,查看问题就比较方便了,如果同一个MR执行两次,会出现输出文件已存在的问题
解决:可以删除掉存在的输出文件,也可以改代码中输出的路径
1 2 3 4 5 6 7 8 9 10 11 12 | Exception in thread "main" org.apache.hadoop.mapred.FileAlreadyExistsException: Output directory hdfs: //192.168.233.11:8020/mroutput already exists at org.apache.hadoop.mapreduce.lib.output.FileOutputFormat.checkOutputSpecs(FileOutputFormat.java: 146 ) at org.apache.hadoop.mapreduce.JobSubmitter.checkSpecs(JobSubmitter.java: 562 ) at org.apache.hadoop.mapreduce.JobSubmitter.submitJobInternal(JobSubmitter.java: 432 ) at org.apache.hadoop.mapreduce.Job$ 10 .run(Job.java: 1296 ) at org.apache.hadoop.mapreduce.Job$ 10 .run(Job.java: 1293 ) at java.security.AccessController.doPrivileged(Native Method) at javax.security.auth.Subject.doAs(Subject.java: 396 ) at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java: 1628 ) at org.apache.hadoop.mapreduce.Job.submit(Job.java: 1293 ) at org.apache.hadoop.mapreduce.Job.waitForCompletion(Job.java: 1314 ) at test.WordCount.main(WordCount.java: 87 ) |
问题八:出现内存溢出的问题java.lang.OutOfMemoryError
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | WARN - job_local845949011_0001 java.lang.Exception: java.lang.OutOfMemoryError: Java heap space at org.apache.hadoop.mapred.LocalJobRunner$Job.runTasks(LocalJobRunner.java: 462 ) at org.apache.hadoop.mapred.LocalJobRunner$Job.run(LocalJobRunner.java: 522 ) Caused by: java.lang.OutOfMemoryError: Java heap space at org.apache.hadoop.mapred.MapTask$MapOutputBuffer.init(MapTask.java: 983 ) at org.apache.hadoop.mapred.MapTask.createSortingCollector(MapTask.java: 401 ) at org.apache.hadoop.mapred.MapTask.access$ 100 (MapTask.java: 81 ) at org.apache.hadoop.mapred.MapTask$NewOutputCollector. 695 ) at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java: 767 ) at org.apache.hadoop.mapred.MapTask.run(MapTask.java: 341 ) at org.apache.hadoop.mapred.LocalJobRunner$Job$MapTaskRunnable.run(LocalJobRunner.java: 243 ) at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java: 441 ) at java.util.concurrent.FutureTask$Sync.innerRun(FutureTask.java: 303 ) at java.util.concurrent.FutureTask.run(FutureTask.java: 138 ) at java.util.concurrent.ThreadPoolExecutor$Worker.runTask(ThreadPoolExecutor.java: 886 ) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java: 908 ) at java.lang.Thread.run(Thread.java: 619 ) |
解决:右键WordCount,-->run Confi....
感谢:(部分内容摘自下面,自己做了一些修改和补充)
http://blog.csdn.net/congcong68/article/details/42098391
http://blog.csdn.net/congcong68/article/details/42043093