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https://issues.apache.org/jira/browse/PIG-2207?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Olga Natkovich updated PIG-2207:
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Fix Version/s: (was: 0.10)
> Support custom counters for aggregating warnings from different udfs
> --------------------------------------------------------------------
>
> Key: PIG-2207
> URL: https://issues.apache.org/jira/browse/PIG-2207
> Project: Pig
> Issue Type: Improvement
> Reporter: Thejas M Nair
> Labels: newbie
>
> Pig allows udfs to aggregate warning messages instead of writing out a
> separate warning message each time. Udfs can do this by logging the warning
> using EvalFunc.warn(String msg, Enum) call. But the udfs are forced to use
> PigWarning class if the warning needs to be printed at the end of the pig
> script .
> For example, with the changes in PIG-2191, some of the builtin udfs are using
> PigWarning.UDF_WARNING_1 as argument in calls to EvalFunc.warn. This will
> result in the warning count being printed on STDERR -
> {code}
> 2011-08-05 22:10:29,285 [main] WARN
> org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher
> - Encountered Warning UDF_WARNING_1 2 time(s).
> 2011-08-05 22:10:29,285 [main] INFO
> org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher
> - Success!
> {code}
> But it would be better if a udf such as the LOWER udf could use a custom
> warning counter, and the STDERR is like -
> {code}
> 2011-08-05 22:10:29,285 [main] WARN
> org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher
> - Encountered Warning LOWER_FUNC_INPUT_WARNING 2 time(s).
> 2011-08-05 22:10:29,285 [main] INFO
> org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher
> - Success!
> {code}
> A new function could be added to support this - (something like)
> EvalFunc.warn(String warnName, String warnMsg); A specific counter group
> could be used for udf warnings (see org.apache.hadoop.mapred.Counters), and
> counters for that group could be done during final warning aggregation in
> done in MapReduceLauncher.computeWarningAggregate().
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