You are viewing a plain text version of this content. The canonical link for it is here.
Posted to hdfs-issues@hadoop.apache.org by "Elek, Marton (JIRA)" <ji...@apache.org> on 2018/06/27 17:54:00 UTC
[jira] [Assigned] (HDDS-199) Implement ReplicationManager to
replicate ClosedContainer
[ https://issues.apache.org/jira/browse/HDDS-199?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Elek, Marton reassigned HDDS-199:
---------------------------------
Assignee: Elek, Marton
> Implement ReplicationManager to replicate ClosedContainer
> ---------------------------------------------------------
>
> Key: HDDS-199
> URL: https://issues.apache.org/jira/browse/HDDS-199
> Project: Hadoop Distributed Data Store
> Issue Type: Improvement
> Components: SCM
> Reporter: Elek, Marton
> Assignee: Elek, Marton
> Priority: Major
> Fix For: 0.2.1
>
>
> HDDS/Ozone supports Open and Closed containers. In case of specific conditions (container is full, node is failed) the container will be closed and will be replicated in a different way. The replication of Open containers are handled with Ratis and PipelineManger.
> The ReplicationManager should handle the replication of the ClosedContainers. The replication information will be sent as an event (UnderReplicated/OverReplicated).
> The Replication manager will collect all of the events in a priority queue (to replicate first the containers where more replica is missing) calculate the destination datanode (first with a very simple algorithm, later with calculating scatter-width) and send the Copy/Delete container to the datanode (CommandQueue).
> A CopyCommandWatcher/DeleteCommandWatcher are also included to retry the copy/delete in case of failure. This is an in-memory structure (based on HDDS-195) which can requeue the underreplicated/overreplicated events to the prioirity queue unless the confirmation of the copy/delete command is arrived.
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
---------------------------------------------------------------------
To unsubscribe, e-mail: hdfs-issues-unsubscribe@hadoop.apache.org
For additional commands, e-mail: hdfs-issues-help@hadoop.apache.org