[
https://issues.apache.org/jira/browse/HDFS-15079?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17003148#comment-17003148
]
Ayush Saxena commented on HDFS-15079:
-------------------------------------
Thanx [~ferhui] for the report, The issue is at Router side, and the proposed
solution gets changes both at NN and client side, I don't think the proposed
solution would get much of agreement, So, I didn't dig in much about this
solution.
I need to check how actually this is happening, in general case, if it was a
namenode-client scenario, I guess the client tries 10
times({{ipc.client.connect.max.retries}}) and then failover to the next. May be
this isn't happening? I think I am missing some context. It would be good you
can put up a UT to repro this. May be then it could be easy for us to find a
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
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
---------------------------------------------------------------------
To unsubscribe, e-mail: hdfs-issues-unsubscr...@hadoop.apache.org
For additional commands, e-mail: hdfs-issues-h...@hadoop.apache.org
