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From "Uma Maheswara Rao G (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HDFS-5442) Zero loss HDFS data replication for multiple datacenters
Date Mon, 15 Dec 2014 16:53:15 GMT

    [ https://issues.apache.org/jira/browse/HDFS-5442?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14246829#comment-14246829

Uma Maheswara Rao G commented on HDFS-5442:

I am in business travel to China from 13th to 21nd Dec. Please allow my delayed responses
during this period.

> 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, 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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