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https://issues.apache.org/jira/browse/HBASE-15331?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Vladimir Rodionov updated HBASE-15331:
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Description: The current implementation for restore uses WALReplay M/R job.
This has performance and stability problems, since it uses HBase client API to
insert data. We have to migrate to bulk load approach: generate hfiles directly
from snapshot and incremental images. We run separate M/R job for every backup
image between last FULL backup and current incremental backup we restore to and
for every table in the list (image). If we have 10 tables and 30 days of
incremental backup images - this results in 30x10 = 300 M/R jobs. MUST be
optimized. (was: The current implementation for restore uses WALReplay M/R
job. This has performance and stability problems, since it uses HBase client
API to insert data. We have to migrate to bulk load approach: generate hfiles
directly from snapshot and incremental images. We run separate M/R job for
every backup image between last FULL backup and current incremental backup we
restore to and for every table in the list (image). If we have 10 tables and 30
days of incremental backup images - this results in 30x10 = 300 M/R jobs.)
> HBase Backup/Restore Phase 2: Optimized Restore operation
> ---------------------------------------------------------
>
> Key: HBASE-15331
> URL: https://issues.apache.org/jira/browse/HBASE-15331
> Project: HBase
> Issue Type: Improvement
> Reporter: Vladimir Rodionov
> Assignee: Vladimir Rodionov
>
> The current implementation for restore uses WALReplay M/R job. This has
> performance and stability problems, since it uses HBase client API to insert
> data. We have to migrate to bulk load approach: generate hfiles directly from
> snapshot and incremental images. We run separate M/R job for every backup
> image between last FULL backup and current incremental backup we restore to
> and for every table in the list (image). If we have 10 tables and 30 days of
> incremental backup images - this results in 30x10 = 300 M/R jobs. MUST be
> optimized.
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