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https://issues.apache.org/jira/browse/HBASE-27305?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Duo Zhang resolved HBASE-27305.
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Fix Version/s: 2.5.0
Hadoop Flags: Reviewed
Release Note: Add a 'hbase.loadincremental.fail.if.need.split.hfile'
configuration. If set to true, th bulk load operation will fail immediately if
we need to split the hfiles. This can be used to prevent unexpected time
consuming bulk load operation.
Resolution: Fixed
Pushed to branch-2.5+.
Thanks [~frostruan] for contributing!
> add an option to skip file splitting when bulkload hfiles
> ---------------------------------------------------------
>
> Key: HBASE-27305
> URL: https://issues.apache.org/jira/browse/HBASE-27305
> Project: HBase
> Issue Type: Improvement
> Components: tooling
> Affects Versions: 3.0.0-alpha-3
> Reporter: ruanhui
> Assignee: ruanhui
> Priority: Minor
> Fix For: 2.5.0, 3.0.0-alpha-4
>
>
> When bulkload hfiles, if the key range of the hfile does not match the key
> range of the region, the BulkLoadHFilesTool will split hfile to fit make the
> key range of the new file match the key range of the region. If there are
> many files to be split, the load on the BulkLoadHFilesTool will be very high.
> Sometimes we want to avoid this situation, just directly fail and regenerate
> new hfiles. Here we try to introduce a new option, When the above problem is
> encountered, an exception will be thrown and let the upper client handle it.
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