[
https://issues.apache.org/jira/browse/HDFS-8578?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14582943#comment-14582943
]
Amareshwari Sriramadasu commented on HDFS-8578:
-----------------------------------------------
doTransition is doing either upgrade or rollback on each directory. If
transition on each directory is not related each other and the code is thread
safe, there should not be any issue doing them in parallel.
[~atm], [~sureshms], [~cmccabe] - do you foresee any issue with above approach?
If not, we would like to pick it up and contribute. I see it is very good
improvement addition to upgrades.
> On upgrade, Datanode should process all storage/data dirs in parallel
> ---------------------------------------------------------------------
>
> Key: HDFS-8578
> URL: https://issues.apache.org/jira/browse/HDFS-8578
> Project: Hadoop HDFS
> Issue Type: Improvement
> Components: datanode
> Reporter: Raju Bairishetti
> Priority: Critical
>
> Right now, during upgrades datanode is processing all the storage dirs
> sequentially. Assume it takes ~20 mins to process a single storage dir then
> datanode which has ~10 disks will take around 3hours to come up.
> *BlockPoolSliceStorage.java*
> {code}
> for (int idx = 0; idx < getNumStorageDirs(); idx++) {
> doTransition(datanode, getStorageDir(idx), nsInfo, startOpt);
> assert getCTime() == nsInfo.getCTime()
> : "Data-node and name-node CTimes must be the same.";
> }
> {code}
> It would save lots of time during major upgrades if datanode process all
> storagedirs/disks parallelly.
> Can we make datanode to process all storage dirs parallelly?
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
