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https://issues.apache.org/jira/browse/HDFS-5442?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13993449#comment-13993449
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Vinayakumar B commented on HDFS-5442:
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Hi Yeqi,
bq. Hi forks, This jira seems only considered BDR cross the DCs, but not MR job
execution efficiency. In case of multi-DCs, job should be submitted to the DC
where most of it's source files can be found locally, so that there won't be
huge cross-DC-traffic. I think a "smart" MR client is good for routing job.
This jira concentrates on only one DC (primary), all other clusters (if
multiple DCs configured) are mirrors. So ideally there wont be any operations
going on in mirror DCs other than replication of the data.
> 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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