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Posted to issues@hbase.apache.org by "Jean-Marc Spaggiari (JIRA)" <ji...@apache.org> on 2014/02/14 13:36:20 UTC
[jira] [Commented] (HBASE-10536) ImportTsv should fail fast if any
of the column family passed to the job is not present in the table
[ https://issues.apache.org/jira/browse/HBASE-10536?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13901384#comment-13901384 ]
Jean-Marc Spaggiari commented on HBASE-10536:
---------------------------------------------
I think we should offer the 2 options. Maybe someone will want to load all what can be loaded, and deal with the errors afterward.
So maybe we can add a "--strict" option to fail if column doesn't exist or the opposite?
> ImportTsv should fail fast if any of the column family passed to the job is not present in the table
> ----------------------------------------------------------------------------------------------------
>
> Key: HBASE-10536
> URL: https://issues.apache.org/jira/browse/HBASE-10536
> Project: HBase
> Issue Type: Bug
> Components: mapreduce
> Affects Versions: 0.98.0
> Reporter: rajeshbabu
> Assignee: rajeshbabu
> Fix For: 0.96.2, 0.98.1, 0.99.0, 0.94.17
>
>
> While checking 0.98 rc, running bulkload tools. By mistake passed wrong column family to importtsv. LoadIncrementalHfiles failed with following exception
> {code}
> Exception in thread "main" java.io.IOException: Unmatched family names found: unmatched family names in HFiles to be bulkloaded: [f1]; valid family names of table test are: [f]
> at org.apache.hadoop.hbase.mapreduce.LoadIncrementalHFiles.doBulkLoad(LoadIncrementalHFiles.java:241)
> at org.apache.hadoop.hbase.mapreduce.LoadIncrementalHFiles.run(LoadIncrementalHFiles.java:823)
> at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:70)
> at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:84)
> at org.apache.hadoop.hbase.mapreduce.LoadIncrementalHFiles.main(LoadIncrementalHFiles.java:828)
> {code}
>
> Its better to fail fast if any of the passed column family is not present in table.
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