[ 
https://issues.apache.org/jira/browse/HDFS-11125?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16056712#comment-16056712
 ] 

Ewan Higgs commented on HDFS-11125:
-----------------------------------

The Provided Storage system is looking to use the SPS for asynchronously 
writing files to a remote system ({{hdfs://}}, {{s3a://}}, {{wasb://}}). The 
way the SPS currently works is file by file which suits the Provided Storage 
system very well since it works on a file by file basis as well. Moving to use 
smaller batches unlinked to the actual files would break current plans 
discussed offline with [~umamaheswararao].

This could be worked through by offering the interface as 
{{BlockStorageMovementCommandSchedulerSpi}} (or something less of a mouthful) 
and implementing it one way for normal SPS and another way for Provided Storage.

> [SPS]: Use smaller batches of BlockMovingInfo into the block storage movement 
> command
> -------------------------------------------------------------------------------------
>
>                 Key: HDFS-11125
>                 URL: https://issues.apache.org/jira/browse/HDFS-11125
>             Project: Hadoop HDFS
>          Issue Type: Sub-task
>          Components: datanode, namenode
>            Reporter: Rakesh R
>            Assignee: Rakesh R
>
> This is a follow-up task of HDFS-11068, where it sends all the blocks under a 
> trackID over single heartbeat response(DNA_BLOCK_STORAGE_MOVEMENT command). 
> If blocks are many under a given trackID(For example: a file contains many 
> blocks) then those requests go across a network and come with a lot of 
> overhead. In this jira, we will discuss and implement a mechanism to limit 
> the list of items into smaller batches with in trackID.



--
This message was sent by Atlassian JIRA
(v6.4.14#64029)

---------------------------------------------------------------------
To unsubscribe, e-mail: hdfs-issues-unsubscr...@hadoop.apache.org
For additional commands, e-mail: hdfs-issues-h...@hadoop.apache.org

Reply via email to