[
https://issues.apache.org/jira/browse/HBASE-14790?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15039770#comment-15039770
]
Duo Zhang commented on HBASE-14790:
-----------------------------------
https://issues.apache.org/jira/secure/attachment/12445209/appendDesign3.pdf
The design doc of hflush and happend already said that if all datanodes
restart, then no guarantee could be provided. I think this is reasonable. Even
if hflush succeeded, we could kill all the datanode in pipeline and the client
and restart, the file after recovering lease could be shorter than the acked
length. There will always be some situation that we could not know there is
data loss unless we call fsync every time to update length on namenode when
writing WAL I think. :(
> Implement a new DFSOutputStream for logging WAL only
> ----------------------------------------------------
>
> Key: HBASE-14790
> URL: https://issues.apache.org/jira/browse/HBASE-14790
> Project: HBase
> Issue Type: Improvement
> Reporter: Duo Zhang
>
> The original {{DFSOutputStream}} is very powerful and aims to serve all
> purposes. But in fact, we do not need most of the features if we only want to
> log WAL. For example, we do not need pipeline recovery since we could just
> close the old logger and open a new one. And also, we do not need to write
> multiple blocks since we could also open a new logger if the old file is too
> large.
> And the most important thing is that, it is hard to handle all the corner
> cases to avoid data loss or data inconsistency(such as HBASE-14004) when
> using original DFSOutputStream due to its complicated logic. And the
> complicated logic also force us to use some magical tricks to increase
> performance. For example, we need to use multiple threads to call {{hflush}}
> when logging, and now we use 5 threads. But why 5 not 10 or 100?
> So here, I propose we should implement our own {{DFSOutputStream}} when
> logging WAL. For correctness, and also for performance.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)