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From "Dian Fu (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HDFS-5442) Zero loss HDFS data replication for multiple datacenters
Date Sat, 10 May 2014 22:15:59 GMT

    [ https://issues.apache.org/jira/browse/HDFS-5442?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13993487#comment-13993487
] 

Dian Fu commented on HDFS-5442:
-------------------------------

Hi yeqi,

As Vinay pointed out, any modify operations by clients should not be allowed in mirror cluster.
Actually your proposal “MR job execution efficiency cross DCs” extends our design. The
goal of our design is to handle datacenter failures and provide an efficient solution of zero
data loss, low latency and high throughput across  multiple geographical clusters.  But your
proposal “MR job execution efficiency cross the DCs” is a great idea. You can open a new
JIRA and give detailed description about it. Then we can discuss further about it.


> Zero loss HDFS data replication for multiple datacenters
> --------------------------------------------------------
>
>                 Key: HDFS-5442
>                 URL: https://issues.apache.org/jira/browse/HDFS-5442
>             Project: Hadoop HDFS
>          Issue Type: Improvement
>            Reporter: Avik Dey
>            Assignee: Dian Fu
>         Attachments: Disaster Recovery Solution for Hadoop.pdf, Disaster Recovery Solution
for Hadoop.pdf
>
>
> Hadoop is architected to operate efficiently at scale for normal hardware failures within
a datacenter. Hadoop is not designed today to handle datacenter failures. Although HDFS is
not designed for nor deployed in configurations spanning multiple datacenters, replicating
data from one location to another is common practice for disaster recovery and global service
availability. There are current solutions available for batch replication using data copy/export
tools. However, while providing some backup capability for HDFS data, they do not provide
the capability to recover all your HDFS data from a datacenter failure and be up and running
again with a fully operational Hadoop cluster in another datacenter in a matter of minutes.
For disaster recovery from a datacenter failure, we should provide a fully distributed, zero
data loss, low latency, high throughput and secure HDFS data replication solution for multiple
datacenter setup.
> Design and code for Phase-1 to follow soon.



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