[
https://issues.apache.org/jira/browse/PIG-4345?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
liyunzhang_intel updated PIG-4345:
----------------------------------
Attachment: PIG-4345_1.patch
Thanks [~rohini]'s comment. I have uploaded PIG-4345_1.patch. The changes are:
{code}
register ':SCRIPTHOMEPATH:/ruby/morerubyudfs.rb' using jruby as myfuncs;
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name,
age:int, gpa :double);
-b = foreach (group a all) generate FLATTEN(myfuncs.AppendIndex(a));
+b = foreach (group a all){
+ a1= order a by name,age,gpa;
+ generate FLATTEN(myfuncs.AppendIndex(a1));
+}
{code}
When ordering by name,age and gpa these three field, the output of b in 'spark'
and 'mapreduce' engines are same.
> e2e test "RubyUDFs_13" fails because of the different result of "group a all"
> in different engines like "spark", "mapreduce"
> ----------------------------------------------------------------------------------------------------------------------------
>
> Key: PIG-4345
> URL: https://issues.apache.org/jira/browse/PIG-4345
> Project: Pig
> Issue Type: Bug
> Reporter: liyunzhang_intel
> Assignee: liyunzhang_intel
> Attachments: PIG-4345.patch, PIG-4345_1.patch
>
>
> RubyUDFs e2e scrip is on the line 3818 of nightly.conf :
> {code}
> 'num' => 13,
> 'java_params' => ['-Dpig.accumulative.batchsize=5'],
> 'pig' => q\
> register ':SCRIPTHOMEPATH:/ruby/morerubyudfs.rb' using jruby as myfuncs;
> a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name,
> age:int, gpa:double);
> b = foreach (group a all) generate FLATTEN(myfuncs.AppendIndex(a));
> store b into ':OUTPATH:';\,
> 'verify_pig_script' => q\
> register :FUNCPATH:/testudf.jar;
> a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name,
> age:int, gpa:double);
> b = foreach (group a all) generate
> FLATTEN(org.apache.pig.test.udf.evalfunc.AppendIndex(a));
> store b into ':OUTPATH:';\,
> },
> ]
> },
> {code}
> RubyUDFs_13.pig tests ruby udf "AppendIndex" in "morerubyudfs.rb". The
> output is compared with verified script which use java udf
> "org.apache.pig.test.udf.evalfunc.AppendIndex". The output of
> "RubyUDFs_13.pig" is like following:
> If test file “studemttab10k” is
> tom thompson 42 0.53
> nick johnson 34 0.47
> priscilla falkner 55 1.16
> the result in spark engine will be:
> tom thompson 42 0.53 1
> nick johnson 34 0.47 2
> priscilla falkner 55 1.16 3
> the result in mapreduce engine which verified script uses will be
> priscilla falkner 55 1.16 1
> nick johnson 34 0.47 2
> tom thompson 42 0.53 3
> The difference between the result in spark and mapreduce engine cause
> RubyUDFs_13 e2e test failure .
> The root cause of the difference is because “group a all” has different
> result in different engines.
> In Spark engine, “group a all” :
> all { (tom thompson 42 0.53),( nick johnson 34 0.47),(
> priscilla falkner 55 1.16)}
> In mapreduce engine , “group a all”:
> all {( priscilla falkner 55 1.16), ( nick johnson 34
> 0.47),(tom thompson 42 0.53)}
> Using PIG-4345.patch, RubyUDF_13 e2e test passes.
> {code}
> {
> 'num' => 13,
> 'java_params' => ['-Dpig.accumulative.batchsize=5'],
> 'pig' => q\
> register ':SCRIPTHOMEPATH:/ruby/morerubyudfs.rb' using jruby as myfuncs;
> a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name,
> age:int, gpa:double);
> a1 = filter a by name == 'nick johnson';
> a2 = filter a1 by age == 34;
> b = foreach (group a2 all) generate FLATTEN(myfuncs.AppendIndex(a2));
> store b into ':OUTPATH:';\,
> 'verify_pig_script' => q\
> register :FUNCPATH:/testudf.jar;
> a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name,
> age:int, gpa:double);
> a1 = filter a by name == 'nick johnson';
> a2 = filter a1 by age == 34;
> b = foreach (group a2 all) generate
> FLATTEN(org.apache.pig.test.udf.evalfunc.AppendIndex(a2));
> store b into ':OUTPATH:';\,
> },
> ]
> },
> {code}
> using PIG-4345.patch, the result in spark and mapreduce engine will be:
> nick johnson 34 0.47 1
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