Hadoop hdfs文件系统文件已存在解决办法

217次阅读

没有评论

共计 3308 个字符，预计需要花费 9 分钟才能阅读完成。

Hadoop 伪分布式环境时运行 wordcount 程序，已经运行过一次，在次将 input 文件夹中的内容上传 hafs 文件系统时会出现重复，但是还是可以上传成功。

————————————– 分割线 ————————————–

将本地文件拷到 HDFS 中 http://www.linuxidc.com/Linux/2013-05/83866.htm

从 HDFS 下载文件到本地 http://www.linuxidc.com/Linux/2012-11/74214.htm

将本地文件上传至 HDFS http://www.linuxidc.com/Linux/2012-11/74213.htm

HDFS 基本文件常用命令 http://www.linuxidc.com/Linux/2013-09/89658.htm

Hadoop 中 HDFS 和 MapReduce 节点基本简介 http://www.linuxidc.com/Linux/2013-09/89653.htm

《Hadoop 实战》中文版 + 英文文字版 + 源码【PDF】http://www.linuxidc.com/Linux/2012-10/71901.htm

Hadoop: The Definitive Guide【PDF 版】http://www.linuxidc.com/Linux/2012-01/51182.htm

————————————– 分割线 ————————————–

但是当再次运行 wordcount 程序时就会报以下的错误

hadoop@salve:~/programfile/hadoop$ bin/hadoop jar hadoop-examples-*.jar wordcount /input /output
14/05/16 08:50:00 INFO mapred.JobClient: Cleaning up the staging area hdfs://localhost:9000/tmp/hadoop-hadoop/mapred/staging/hadoop/.staging/job_201405160835_0004
14/05/16 08:50:00 ERROR security.UserGroupInformation: PriviledgedActionException as:hadoop cause:org.apache.hadoop.mapred.FileAlreadyExistsException: Output directory /output already exists
org.apache.hadoop.mapred.FileAlreadyExistsException: Output directory /output already exists
at org.apache.hadoop.mapreduce.lib.output.FileOutputFormat.checkOutputSpecs(FileOutputFormat.java:137)
at org.apache.hadoop.mapred.JobClient$2.run(JobClient.java:949)
at org.apache.hadoop.mapred.JobClient$2.run(JobClient.java:912)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:415)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1136)
at org.apache.hadoop.mapred.JobClient.submitJobInternal(JobClient.java:912)
at org.apache.hadoop.mapreduce.Job.submit(Job.java:500)
at org.apache.hadoop.mapreduce.Job.waitForCompletion(Job.java:530)
at org.apache.hadoop.examples.WordCount.main(WordCount.java:67)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.hadoop.util.ProgramDriver$ProgramDescription.invoke(ProgramDriver.java:68)
at org.apache.hadoop.util.ProgramDriver.driver(ProgramDriver.java:139)
at org.apache.hadoop.examples.ExampleDriver.main(ExampleDriver.java:64)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.hadoop.util.RunJar.main(RunJar.java:156)