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https://issues.apache.org/jira/browse/PIG-4265?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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liyunzhang_intel updated PIG-4265:
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Status: Patch Available (was: Open)
> SUM functions returns different value in spark and mapreduce engine
> -------------------------------------------------------------------
>
> Key: PIG-4265
> URL: https://issues.apache.org/jira/browse/PIG-4265
> Project: Pig
> Issue Type: Bug
> Reporter: liyunzhang_intel
> Assignee: liyunzhang_intel
> Attachments: PIG-4265.patch
>
>
> $PIG_HOME/bin/pig -x local RubyUDFs_10.pig
> #RubyUDFs_10.pig
> a = load 'studenttab10k' using PigStorage() as (name, age:int, gpa:double);
> b = group a by name;
> c = foreach b generate group, SUM(a.age), SUM(a.gpa);
> d = foreach c generate $0, $1, (double)((int)$2*100)/100;
> store d into 'local.output/RubyUDFs_10_benchmark.out';
> the result in RubyUDFs_10.out/part
> #grep "david s" RubyUDFs_10.out/part-r-00000
> david steinbeck 266 15.0
> #grep "david s" studenttab10k
> david steinbeck 21 2.44
> david steinbeck 33 1.17
> david steinbeck 42 1.94
> david steinbeck 42 1.35
> david steinbeck 31 2.77
> david steinbeck 40 2.42
> david steinbeck 57 3.91
> when runing Ruby_UDFs.pig in spark, the sum(a.gpa) is 16.0 and
> (double)((int)$2*100)/100 will be "david steinbeck 266 16.0".
> when running Ruby_UDFs.pig in mapreduce mode, the sum(a.gpa) is
> 15.999999999999998 and (double)((int)$2*100)/100 will be "david steinbeck
> 266 15.0".
> I don't know why the same code by different execution engines(spark and
> mapreduce) on the same os returns different results.
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