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From "Michael Han (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (ZOOKEEPER-3419) Backup and recovery support
Date Thu, 06 Jun 2019 23:57:00 GMT

    [ https://issues.apache.org/jira/browse/ZOOKEEPER-3419?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16858192#comment-16858192
] 

Michael Han commented on ZOOKEEPER-3419:
----------------------------------------

They overlapped only in their names :) - implementation wise they are orthogonal and feature
wise this Jira is more rich in terms of supporting various backup and restore use cases. Both
can co-exist if community accept both, so I am not particularly worried about it. Thanks for
the heads up though [~nixon]!

> Backup and recovery support
> ---------------------------
>
>                 Key: ZOOKEEPER-3419
>                 URL: https://issues.apache.org/jira/browse/ZOOKEEPER-3419
>             Project: ZooKeeper
>          Issue Type: New Feature
>          Components: server
>    Affects Versions: 3.6.0
>            Reporter: Michael Han
>            Assignee: Michael Han
>            Priority: Major
>              Labels: Twitter
>
> Historically ZooKeeper has no intrinsic support for backup and restore. The usual approach
of doing backup and restore is through customized scripts to copy data around, or through
some 3rd party tools (exhibitor, etc), which introduces operation burden. 
> This Jira will introduce another option: a direct support of backup and restore from
ZooKeeper itself. It's completely built into ZooKeeper, support point in time recovery of
an entire tree rooted after an oops event, support recovery partial tree for test/dev purpose,
and can help replay history for bug investigation. It will try to provide a generic interface
so the backups can be directed to different data storage systems (S3, Kafka, HDFS, etc).
> This same system has been in production at Twitter for X years and proved to be quite
helpful for various use cases mentioned earlier. This will be a relative big patch, we'll
try break the feature down and incrementally submit the patches when they are ready.



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