[
https://issues.apache.org/jira/browse/HDFS-5996?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
wangmeng resolved HDFS-5996.
----------------------------
Resolution: Fixed
Release Note: someone has discovered this bug and it has been
resolved
> hadoop 1.1.2. hdfs write bug
> -------------------------------
>
> Key: HDFS-5996
> URL: https://issues.apache.org/jira/browse/HDFS-5996
> Project: Hadoop HDFS
> Issue Type: Bug
> Components: fuse-dfs
> Affects Versions: 1.1.2
> Environment: one master and three slave ,all of them are normal
> Reporter: wangmeng
> Fix For: 1.1.2
>
> Original Estimate: 504h
> Remaining Estimate: 504h
>
> I am a student from China ,my research is Hive data storage on
> hadoop .There is a hdfs-write bug when I used sql : insert overwrite table
> wangmeng select * from testTable (this sql is translated into N
> map( no Reduce) jobs,each map .corresponding to a HDFS file output On
> disk. ) No matter what value N is , there will always exists some
> DfsdataoutputStream buffer can not write to disk at last ,such as N=160
> files ,then there my be about 5 write-faliure files .,the
> write-failured hdfs--file size on disk is always 0 bytes rather than a
> value which is between 0 and zhe correct size. .There does not have
> any exceptions to throw . and the HDFS WRITTEN statistical data is
> absolutely correct .
> When I debug , I find those write-failed DFS-buffer own
> absolutely correct values on its buffer ,but the buffer can not write
> to disk at last although I use Dfsdataoutputstream.flush() ,
> Dfsdataoutputstream close() .
> .I can not find the reason those dfs-buffer can not write success.
> Now I choose a method to avoide this problem by using a temporary file :
> for example , if the DFS-buffer will write to its destination FINAL, now
> I will let this DFS-buffer write to a temporary file TEM first ,and then
> I move the TEM data to the destination just by change the hdfs--
> file path. This method can avoid the DFS-buffer write -failure .Now I
> want to fix this problem radically , so How can I patch my codes about
> this problem and is there anything I can do ? Many Thanks.
--
This message was sent by Atlassian JIRA
(v6.2#6252)
