[
https://issues.apache.org/jira/browse/HDFS-9826?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Li Bo updated HDFS-9826:
------------------------
Description:
Currently NameNode prepares recovering when finding an under replicated block
group. This is inefficient and reduces resources for other operations. It would
be better to postpone the recovery work for a period of time if only one
internal block is corrupted considering points shown by papers such as
\[1\]\[2\]:
1. Transient errors in which no data are lost account for more than 90% of
data center failures, owing to network partitions, software problems, or
non-disk hardware faults.
2. Although erasure codes tolerate multiple simultaneous failures, single
failures represent 99.75% of recoveries.
Different clusters may have different status, so we should allow user to
configure the time for postponing the recoveries. Proper configuration will
reduce a large proportion of unnecessary recoveries. When finding multiple
internal blocks corrupted in a block group, we prepare the recovery work
immediately because it’s very rare and we don’t want to increase the risk of
losing data.
[1] Availability in globally distributed storage systems
http://static.usenix.org/events/osdi10/tech/full_papers/Ford.pdf
[2] Rethinking erasure codes for cloud file systems: minimizing I/O for
recovery and degraded reads
http://static.usenix.org/events/fast/tech/full_papers/Khan.pdf
was:
Currently NameNode prepares recovering when finding an under replicated block
group. This is inefficient and reduces resources for other operations. It would
be better to postpone the recovery work for a period of time if only one
internal block is corrupted considering points shown by papers such as
\[1\]\[2\]:
1. Transient errors in which no data are lost account for more than 90% of
data center failures, owing to network partitions, software problems, or
non-disk hardware faults.
2. Although erasure codes tolerate multiple simultaneous failures, single
failures represent 99.75% of recoveries.
Different clusters may have different status, so we should allow user to
configure the time for postponing the recoveries. Proper configuration will
reduce a large proportion of unnecessary recoveries. When finding multiple
internal blocks corrupted in a block group, we do the recovery work immediately
because it’s very rare and we don’t want to increase the risk of losing data.
[1] Availability in globally distributed storage systems
http://static.usenix.org/events/osdi10/tech/full_papers/Ford.pdf
[2] Rethinking erasure codes for cloud file systems: minimizing I/O for
recovery and degraded reads
http://static.usenix.org/events/fast/tech/full_papers/Khan.pdf
> Erasure Coding: Postpone the recovery work for a configurable time period
> --------------------------------------------------------------------------
>
> Key: HDFS-9826
> URL: https://issues.apache.org/jira/browse/HDFS-9826
> Project: Hadoop HDFS
> Issue Type: Sub-task
> Reporter: Li Bo
> Assignee: Li Bo
>
> Currently NameNode prepares recovering when finding an under replicated
> block group. This is inefficient and reduces resources for other operations.
> It would be better to postpone the recovery work for a period of time if only
> one internal block is corrupted considering points shown by papers such as
> \[1\]\[2\]:
> 1. Transient errors in which no data are lost account for more than 90% of
> data center failures, owing to network partitions, software problems, or
> non-disk hardware faults.
> 2. Although erasure codes tolerate multiple simultaneous failures, single
> failures represent 99.75% of recoveries.
> Different clusters may have different status, so we should allow user to
> configure the time for postponing the recoveries. Proper configuration will
> reduce a large proportion of unnecessary recoveries. When finding multiple
> internal blocks corrupted in a block group, we prepare the recovery work
> immediately because it’s very rare and we don’t want to increase the risk of
> losing data.
> [1] Availability in globally distributed storage systems
> http://static.usenix.org/events/osdi10/tech/full_papers/Ford.pdf
> [2] Rethinking erasure codes for cloud file systems: minimizing I/O for
> recovery and degraded reads
> http://static.usenix.org/events/fast/tech/full_papers/Khan.pdf
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
