6910 发表于 2015-10-19 23:10:26

在myEclipse上已经可以正常的查看DFS 文件,但是每次run on hadoop 的时候都会在 job.waitForCompletion(true) 这报空指针异常。


跟9楼同样的问题,有大神知道怎么解决吗?



详细报错如下:

Exception in thread "main" java.lang.UnsatisfiedLinkError: org.apache.hadoop.io.nativeio.NativeIO$Windows.createDirectoryWithMode0(Ljava/lang/String;I)V
        at org.apache.hadoop.io.nativeio.NativeIO$Windows.createDirectoryWithMode0(Native Method)
        at org.apache.hadoop.io.nativeio.NativeIO$Windows.createDirectoryWithMode(NativeIO.java:524)
        at org.apache.hadoop.fs.RawLocalFileSystem.mkOneDirWithMode(RawLocalFileSystem.java:473)
        at org.apache.hadoop.fs.RawLocalFileSystem.mkdirsWithOptionalPermission(RawLocalFileSystem.java:526)
        at org.apache.hadoop.fs.RawLocalFileSystem.mkdirs(RawLocalFileSystem.java:504)
        at org.apache.hadoop.fs.FilterFileSystem.mkdirs(FilterFileSystem.java:305)
        at org.apache.hadoop.mapreduce.JobSubmissionFiles.getStagingDir(JobSubmissionFiles.java:133)
        at org.apache.hadoop.mapreduce.JobSubmitter.submitJobInternal(JobSubmitter.java:144)
        at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1290)
        at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1287)
        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:1657)
        at org.apache.hadoop.mapreduce.Job.submit(Job.java:1287)
        at org.apache.hadoop.mapreduce.Job.waitForCompletion(Job.java:1308)
        at Test_1.run(Test_1.java:81)
        at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:70)
        at Test_1.main(Test_1.java:117)

pig2 发表于 2015-10-20 08:42:48

6910 发表于 2015-10-19 23:10
在myEclipse上已经可以正常的查看DFS 文件,但是每次run on hadoop 的时候都会在 job.waitForCompletion(t ...

出现org.apache.hadoop.io.nativeio.NativeIO$Windows.access0(Ljava/lang/String;I)Z .

zjj123457 发表于 2015-10-31 21:58:42

第二种配置好之后不能Run,不知道什么问题

hello1988 发表于 2015-11-25 16:21:43

不错,楼主好人

a530491093 发表于 2016-1-22 19:21:16

感谢分享,顶你一贴!

万恶的魔法 发表于 2016-5-6 18:46:21

我将web项目打成war包在linux系统上运行提示232706 DEBUG org.apache.zookeeper.ClientCnxn- Reading reply sessionid:0x44fda7541862799, packet:: clientPath:null serverPath:null finished:false header:: 37,4replyHeader:: 37,55838155312,-101request:: '/hbase/meta-region-server,Fresponse::
232707 DEBUG org.apache.hadoop.hbase.zookeeper.ZKUtil- hconnection-0x41ed426-0x44fda7541862799, quorum=BD04.bd.bjtel:2181,BD03.bd.bjtel:2181,BD02.bd.bjtel:2181,BD01.bd.bjtel:2181,BD05.bd.bjtel:2181, baseZNode=/hbase Unable to get data of znode /hbase/meta-region-server because node does not exist (not an error)
Unable to get data of znode /hbase/meta-region-server because node does not exist (not an error)
请问这个问题是怎么回事??

langke93 发表于 2016-5-6 20:20:00

万恶的魔法 发表于 2016-5-6 18:46
我将web项目打成war包在linux系统上运行提示232706 DEBUG o ...

baseZNode=/hbase Unable to get data of znode /hbase/meta-region-server because node does not exist (not an error)确保没有拼错

muyannian 发表于 2016-5-6 20:25:42

万恶的魔法 发表于 2016-5-6 18:46
我将web项目打成war包在linux系统上运行提示232706 DEBUG o ...

/hbase/meta-region-server
看下根目录是否是 /hbase/,在 /hbase/meta-region-server 这个下面找不到节点

万恶的魔法 发表于 2016-5-8 12:29:51

muyannian 发表于 2016-5-6 20:25
/hbase/meta-region-server
看下根目录是否是 /hbase/,在 /hbase/meta-region-server 这个下面找不到 ...

不是,这个是从debug上摘下来的,根目录下没有"/hbase"  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,我这样配的,你看有什么问题吗??

smartleon 发表于 2016-7-30 11:21:39

求助个问题,我在window的eclipse引入了插件,可以通过插件浏览HDFS上的文件,但是无法通过run on hadoop把任务提交到hadoop集群中去执行,我没有导入配置文件,也没有在Runner类中手动设置配置信息,我记得插件会帮我把需要提交集群的所需的配置设置好,这是啥原因呢?希望指教一下,谢谢。
附上我的Runner类:
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