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https://issues.apache.org/jira/browse/PIG-4282?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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liyunzhang_intel updated PIG-4282:
----------------------------------
Attachment: PIG-4282.patch
group operator has different results in different engines like "spark" and
"mapreduce".
for example:
groupdistinct.pig
{code}
A = load 'input1.txt' as (age:int,gpa:int);
B = group A by age;
C = foreach B {
D = A.gpa;
E = distinct D;
generate group, MIN(E);
};
dump C;
{code}
input1.txt is:
10 89
20 78
10 68
10 89
20 92
the mapreduce output is:
(10,68),(20,78)
the spark output is
(20,78),(10,68)
all test cases of TestForEachNestedPlan pass except TestInnerDistinct in spark
mode. The reason why fails I described above. Original code only judges the
result is "(10,68),(20,78)". 　PIG-4282.patch will judge both "(10,68),(20,78)"
and "(20,78),(10,68)" for the result.
> Enable unit test "TestForEachNestedPlan" for spark
> --------------------------------------------------
>
> Key: PIG-4282
> URL: https://issues.apache.org/jira/browse/PIG-4282
> Project: Pig
> Issue Type: Bug
> Components: spark
> Reporter: liyunzhang_intel
> Attachments: PIG-4282.patch,
> TEST-org.apache.pig.test.TestForEachNestedPlan.txt
>
>
> error log is attached
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