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https://issues.apache.org/jira/browse/HDFS-15079?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17003139#comment-17003139
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Xiaoqiao He commented on HDFS-15079:
------------------------------------

Move this JIRA to subtask of HDFS-14603.

Thanks [~ferhui] for involves.
{quote}Client with RBF(r0, r1) create a file HDFS file via r0, it gets 
Exception and failovers to r1.
{quote}
I am interested in which and where exception throws?
a. namenode(throw exception) -> router -> client?
b. router(throw exception) -> client?
In my experience we try to scheduler client request to the original router if 
it meet some retry exceptions unless this router set to offline. it may avoid 
this case. To be honest, this is not very graceful solution.

> RBF: Client maybe get an unexpected result with network anomaly 
> ----------------------------------------------------------------
>
>                 Key: HDFS-15079
>                 URL: https://issues.apache.org/jira/browse/HDFS-15079
>             Project: Hadoop HDFS
>          Issue Type: Sub-task
>          Components: rbf
>    Affects Versions: 3.3.0
>            Reporter: Fei Hui
>            Priority: Critical
>
>  I find there is a critical problem on RBF, HDFS-15078 can resolve it on some 
> Scenarios, but i have no idea about the overall resolution.
> The problem is that
> Client with RBF(r0, r1) create a file HDFS file via r0, it gets Exception and 
> failovers to r1
> r0 has been send create rpc to namenode(1st create)
> Client create a HDFS file via r1(2nd create)
> Client writes the HDFS file and close it finally(3rd close)
> Maybe namenode receiving the rpc in order as follow
> 2nd create
> 3rd close
> 1st create
> And overwrite is true by default, this would make the file had been written 
> an empty file. This is an critical problem 
> We had encountered this problem. There are many hive and spark jobs running 
> on our cluster,   sometimes it occurs



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