#!/usr/bin/env perl

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# Nightly tests for pig.
#
#

#PigSetup::setup();

#my $me = `whoami`;
#chomp $me;

$cfg = {
	'driver' => 'Pig',
	'nummachines' => 5,
	'verify_with_pig' => 1,
	'verify_pig_version' => 'old',

	'groups' => [
		{
		'name' => 'Checkin',
		'tests' => [
			{
			'num' => 1,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
store a into ':OUTPATH:';\,
			},
			{
			'num' => 2,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
c = filter a by age < 50;
d = filter b by age < 50;
e = cogroup c by (name, age), d by (name, age) ;
f = foreach e generate flatten(c), flatten(d);
g = group f by registration;
h = foreach g generate group, SUM(f.d::contributions);
i = order h by $1;
store i into ':OUTPATH:';\,
                        'floatpostprocess' => 1,
                        'delimiter' => '	',
			'sortArgs' => ['-t', '	', '-k', '2,2n'],
			}
		]
		},
		{
		'name' => 'LoaderDefaultDir',
		'tests' => [
			{
			'num' => 1,
			'pig' => q\a = load ':INPATH:/dir/studenttab10k' as (name, age, gpa);
store a into ':OUTPATH:';\,
			},
		]
		},
		{
		'name' => 'LoaderPigStorageArg',
		'tests' => [
			{
			'num' => 1,
			'pig' => q\a = load ':INPATH:/singlefile/studentcolon10k' using PigStorage(':') as (name, age, gpa);
store a into ':OUTPATH:';\,
			},
			{
			# load with control character
			'num' => 2,
			'pig' => q#a = load ':INPATH:/singlefile/studentctrla10k' using PigStorage('\\u0001') as (name, age, gpa);
store a into ':OUTPATH:';#,
			},
			{
	        	# load and store with control character
			'num' => 3,
			'pig' => q#a = load ':INPATH:/singlefile/studentctrla10k' using PigStorage('\\u0001') as (name, age, gpa);
store a into ':OUTPATH:.intermediate' using PigStorage('\\u0001');
b = load ':OUTPATH:.intermediate' using PigStorage('\\u0001') as (name, age, gpa); 
store b into ':OUTPATH:'; #,
            'notmq' => 1,
			},
		]
		},
		{
		# Results doctored, if you change this query you need to copy the
		# expected results into test/nightly/benchmarks
		'name' => 'LoaderBinStorage',
		'tests' => [
			{
			'num' => 1,
			'pig' => q\register :FUNCPATH:/testudf.jar;
a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = foreach a generate name, org.apache.pig.test.udf.evalfunc.Swap(name, age), TOKENIZE((chararray)name), org.apache.pig.test.udf.evalfunc.CreateMap((chararray)name, age); 
store b into ':OUTPATH:.intermediate' using BinStorage();
c = load ':OUTPATH:.intermediate' using BinStorage();
store c into ':OUTPATH:' using org.apache.pig.test.udf.storefunc.StringStore();\,
            'notmq' => 1,
			},
		]
		},
		{
		# Results doctored, if you change this query you need to copy the
		# expected results into test/nightly/benchmarks
		'name' => 'LoaderTextLoader',
		'tests' => [
			{
			'num' => 1,
			'pig' => q\register :FUNCPATH:/testudf.jar;
a = load ':INPATH:/singlefile/textdoc' using TextLoader();
b = foreach a generate TOKENIZE((chararray)$0);
store b into ':OUTPATH:' using org.apache.pig.test.udf.storefunc.StringStore();\,
			},
		]
		},
		{
		'name' => 'FilterBoolean',
		'tests' => [
			{
			'num' => 1,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = filter a by name == 'fred allen' and age > 50;
store b into ':OUTPATH:' using PigStorage;\,
			},
			{
			'num' => 2,
			'pig' => q\a = load ':INPATH:/dir/studenttab10k' using PigStorage() as (name, age, gpa);
b = filter a by name != 'fred allen' or age < 10;
store b into ':OUTPATH:' using PigStorage;\,
			},
			{
			'num' => 3,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = filter a by not (age == 50);
store b into ':OUTPATH:' using PigStorage;\,
			},
			{
			'num' => 4,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = filter a by (age >= 50 or name > 'fred') and (gpa <= 3.0 or name >= 'bob');
store b into ':OUTPATH:' using PigStorage;\,
			},
			{
			'num' => 5,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = filter a by age >= 50 or name > 'fred' and gpa <= 3.0 or name >= 'bob';
store b into ':OUTPATH:' using PigStorage;\,
			},
            # test filter <= and >= for chararray, int and double
			{
			'num' => 6,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:int, gpa:double);
b = filter a by age >= 40 and age <=50 and gpa >= 2.0 and gpa <= 3.0 and  name >= 'bob' and name <= 'fred';
store b into ':OUTPATH:' using PigStorage;\,
			},
            # test filter <= and >= for bytearray, long and float
			{
			'num' => 7,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age:long, gpa:float);
b = filter a by age >= 40 and age <=50 and gpa >= 2.0f and gpa <= 3.0f and  name >= 'bob' and name <= 'fred';
store b into ':OUTPATH:' using PigStorage;\,
			},
            # test filter < and > for chararray, int and double
			{
			'num' => 8,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:int, gpa:double);
b = filter a by age > 40 and age <50 and gpa > 2.0 and gpa < 3.0 and  name > 'bob' and name < 'fred';
store b into ':OUTPATH:' using PigStorage;\,
			},
            # test filter < and > for bytearray, long and float
			{
			'num' => 9,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age:long, gpa:float);
b = filter a by age > 40 and age <50 and gpa > 2.0f and gpa < 3.0f and  name > 'bob' and name < 'fred';
store b into ':OUTPATH:' using PigStorage;\,
			},
            # test filter <= and >= for explicit cast for chararray, int and double
			{
			'num' => 10,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = filter a by (int)age >= 40 and (int)age <=50 and (double)gpa >= 2.0 and (double)gpa <= 3.0 and  (chararray)name >= 'bob' and (chararray)name <= 'fred';
store b into ':OUTPATH:' using PigStorage;\,
			},
            # test filter <= and >= for explicit cast for bytearray, long and float
			{
			'num' => 11,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = filter a by (long)age >= 40 and (long)age <=50 and (float)gpa >= 2.0f and (float)gpa <= 3.0f and  name >= 'bob' and name <= 'fred';
store b into ':OUTPATH:' using PigStorage;\,
			},
            # test filter < and > for explicit cast for chararray, int and double
			{
			'num' => 12,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = filter a by (int)age > 40 and (int)age <50 and (double)gpa > 2.0 and (double)gpa < 3.0 and  (chararray)name > 'bob' and (chararray)name < 'fred';
store b into ':OUTPATH:' using PigStorage;\,
			},
            # test filter < and > for explicit cast for bytearray, long and float
			{
			'num' => 13,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = filter a by (long)age > 40 and (long)age <50 and (float)gpa > 2.0f and (float)gpa < 3.0f and  name > 'bob' and name < 'fred';
store b into ':OUTPATH:' using PigStorage;\,
			},
            # test AND with nulls
			{
			'num' => 14,
			'pig' => q\a = load ':INPATH:/singlefile/studentnulltab10k' using PigStorage() as (name, age, gpa);
b = filter a by name == 'fred allen' and age > 50;
store b into ':OUTPATH:' using PigStorage;\,
			},
            # test OR with nulls
			{
			'num' => 15,
			'pig' => q\a = load ':INPATH:/singlefile/studentnulltab10k' using PigStorage() as (name, age, gpa);
b = filter a by name != 'fred allen' or age < 10;
store b into ':OUTPATH:' using PigStorage;\,
			},
            # test with nulls filter <= and >= for chararray, int and double
			{
			'num' => 16,
			'pig' => q\a = load ':INPATH:/singlefile/studentnulltab10k' using PigStorage() as (name:chararray, age:int, gpa:double);
b = filter a by age >= 40 and age <=50 and gpa >= 2.0 and gpa <= 3.0 and  name >= 'bob' and name <= 'fred';
store b into ':OUTPATH:' using PigStorage;\,
			},
            # test with nulls filter < and > for explicit cast for chararray, int and double
			{
			'num' => 17,
			'pig' => q\a = load ':INPATH:/singlefile/studentnulltab10k' using PigStorage() as (name, age, gpa);
b = filter a by (int)age > 40 and (int)age <50 and (double)gpa > 2.0 and (double)gpa < 3.0 and  (chararray)name > 'bob' and (chararray)name < 'fred';
store b into ':OUTPATH:' using PigStorage;\,
			},
                        {
                        'num' => 18,
                        'ignore' => 1, # PIG-2593 this case is not supported as instate need to be declared as boolean
                        'pig' => q\a = load ':INPATH:/singlefile/allscalar10k' as (name, age, gpa, instate);
b = filter a by instate;
store b into ':OUTPATH:' using PigStorage;\,
                        'verify_pig_script' => q\a = load ':INPATH:/singlefile/allscalar10k' as (name, age, gpa, instate);
b = filter a by instate == 'true';
store b into ':OUTPATH:' using PigStorage;\,
                        },
                        {
                        'num' => 19,
                        'ignore' => 1, # PIG-2593 this case is not supported as instate need to be declared as boolean
			'pig' => q\a = load ':INPATH:/singlefile/allscalar10k' as (name, age, gpa, instate);
b = filter a by not instate;
store b into ':OUTPATH:' using PigStorage;\,
                        'verify_pig_script' => q\a = load ':INPATH:/singlefile/allscalar10k' as (name, age, gpa, instate);
b = filter a by instate == 'false';
store b into ':OUTPATH:' using PigStorage;\,
                        },
                        {
                        'num' => 20,
			'pig' => q\a = load ':INPATH:/singlefile/allscalar10k' as (name, age, gpa, instate);
b = filter a by instate is null;
store b into ':OUTPATH:' using PigStorage;\,
                        },
                        {
                        'num' => 21,
			'pig' => q\a = load ':INPATH:/singlefile/allscalar10k' as (name, age, gpa, instate);
b = filter a by instate == true;
store b into ':OUTPATH:' using PigStorage;\,
                        'verify_pig_script' => q\a = load ':INPATH:/singlefile/allscalar10k' as (name, age, gpa, instate);
b = filter a by instate == 'true';
store b into ':OUTPATH:' using PigStorage;\,
                        },
                        {
                        'num' => 22,
			'pig' => q\a = load ':INPATH:/singlefile/allscalar10k' as (name, age, gpa, instate);
b = filter a by instate == false;
store b into ':OUTPATH:' using PigStorage;\,
                        'verify_pig_script' => q\a = load ':INPATH:/singlefile/allscalar10k' as (name, age, gpa, instate);
b = filter a by instate == 'false';
store b into ':OUTPATH:' using PigStorage;\,
                        },
                        {
                        'num' => 23,
			'pig' => q\a = load ':INPATH:/singlefile/allscalar10k' as (name:chararray, age:int, gpa:double, instate:boolean);
b = filter a by instate;
store b into ':OUTPATH:' using PigStorage;\,
                        'verify_pig_script' => q\a = load ':INPATH:/singlefile/allscalar10k' as (name:chararray, age:int, gpa:double, instate:chararray);
b = filter a by instate == 'true';
store b into ':OUTPATH:' using PigStorage;\,
                        },
                        {
                        'num' => 24,
			'pig' => q\a = load ':INPATH:/singlefile/allscalar10k' as (name:chararray, age:int, gpa:double, instate:boolean);
b = filter a by not instate;
store b into ':OUTPATH:' using PigStorage;\,
                        'verify_pig_script' => q\a = load ':INPATH:/singlefile/allscalar10k' as (name:chararray, age:int, gpa:double, instate:chararray);
b = filter a by instate == 'false';
store b into ':OUTPATH:' using PigStorage;\,
                        },
                        {
                        'num' => 25,
			'pig' => q\a = load ':INPATH:/singlefile/allscalar10k' as (name:chararray, age:int, gpa:double, instate:boolean);
b = filter a by instate is null;
store b into ':OUTPATH:' using PigStorage;\,
                        'verify_pig_script' => q\a = load ':INPATH:/singlefile/allscalar10k' as (name:chararray, age:int, gpa:double, instate:chararray);
b = filter a by instate is null;
store b into ':OUTPATH:' using PigStorage;\,
                        },
                        {
                        'num' => 26,
			'pig' => q\a = load ':INPATH:/singlefile/allscalar10k' as (name:chararray, age:int, gpa:double, instate:boolean);
b = filter a by instate == true;
store b into ':OUTPATH:' using PigStorage;\,
                        'verify_pig_script' => q\a = load ':INPATH:/singlefile/allscalar10k' as (name:chararray, age:int, gpa:double, instate:chararray);
b = filter a by instate == 'true';
store b into ':OUTPATH:' using PigStorage;\,
                        },
                        {
                        'num' => 27,
			'pig' => q\a = load ':INPATH:/singlefile/allscalar10k' as (name:chararray, age:int, gpa:double, instate:boolean);
b = filter a by instate == false;
store b into ':OUTPATH:' using PigStorage;\,
                        'verify_pig_script' => q\a = load ':INPATH:/singlefile/allscalar10k' as (name:chararray, age:int, gpa:double, instate:chararray);
b = filter a by instate == 'false';
store b into ':OUTPATH:' using PigStorage;\,
                        },
		    ],
		},
		{
		'name' => 'FilterEq',
		'tests' => [
			{
			'num' => 1,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = filter a by name == 'alice johnson' and age == 64 and gpa == 3.99;
store b into ':OUTPATH:' using PigStorage;\,
			},
			{
			'num' => 2,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = filter a by name > 'fred allen' and age > 40 and gpa > 2.50;
store b into ':OUTPATH:' using PigStorage;\,
			},
			{
			'num' => 3,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = filter a by name >= 'fred allen' and age >= 40 and gpa >= 2.50;
store b into ':OUTPATH:' using PigStorage;\,
			},
			{
			'num' => 4,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = filter a by name lt 'fred allen' and age < 40 and gpa < 2.50;
store b into ':OUTPATH:' using PigStorage;\,
			},
			{
			'num' => 5,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = filter a by name lte 'fred allen' and age <= 40 and gpa <= 2.50;
store b into ':OUTPATH:' using PigStorage;\,
			},
			{
			'num' => 6,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage();
b = filter a by $0 neq 'fred allen' and $1 != '40' and $2 != '2.50';
store b into ':OUTPATH:' using PigStorage;\,
			},
            # test for filter == for chararray, int and double
			{
			'num' => 7,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:int, gpa:double);
b = filter a by  name == 'fred allen' and age == 61 and gpa == 1.42;
store b into ':OUTPATH:' using PigStorage;\,
			},
            # test for filter == for bytearray, long and float
			{
			'num' => 8,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age:long, gpa:float);
b = filter a by  name == 'fred allen' and age == 61 and gpa == 1.42f;
store b into ':OUTPATH:' using PigStorage;\,
			},
            # test for filter != for chararray, int and double
			{
			'num' => 9,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:int, gpa:double);
b = filter a by $0 != 'fred allen' and $1 != 40 and $2 != 2.50;
store b into ':OUTPATH:' using PigStorage;\,
			},
            # test for filter != for bytearray, long and float
			{
			'num' => 10,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age:long, gpa:float);
b = filter a by $0 != 'fred allen' and $1 != 40 and $2 != 2.50f;
store b into ':OUTPATH:' using PigStorage;\,
			},
            # test for filter == for explicit casts to chararray, int and double
			{
			'num' => 11,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = filter a by  (chararray)name == 'fred allen' and (int)age == 61 and (double)gpa == 1.42;
store b into ':OUTPATH:' using PigStorage;\,
			},
            # test for filter == for explicit casts to bytearray, long and float
			{
			'num' => 12,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = filter a by  name == 'fred allen' and (long)age == 61 and (float)gpa == 1.42f;
store b into ':OUTPATH:' using PigStorage;\,
			},
            # test for filter != for explicit casts to chararray, int and double
			{
			'num' => 13,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() ;
b = filter a by (chararray)$0 != 'fred allen' and (int)$1 != 40 and (double)$2 != 2.50;
store b into ':OUTPATH:' using PigStorage;\,
			},
            # test for filter != for explicit casts to bytearray, long and float
			{
			'num' => 14,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() ;
b = filter a by $0 != 'fred allen' and (long)$1 != 40 and (float)$2 != 2.50f;
store b into ':OUTPATH:' using PigStorage;\,
			},
		]
		},
		{
		'name' => 'FilterMatches',
		'tests' => [
			{
			'num' => 1,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = filter a by name matches '^fred.*';
store b into ':OUTPATH:' using PigStorage;\,
			},
			{
			'num' => 2,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage();
b = filter a by not $0 matches '^fred.*';
store b into ':OUTPATH:' using PigStorage;\,
			},
			{
            # test for filter on matches for chararray (declared and explicit cast)
			'num' => 3,
			'pig' => q\a = load ':INPATH:/singlefile/votertab10k' using PigStorage() as (name:chararray, age:int, registration, contributions:double);
b = filter a by name matches '^fred.*' and (chararray)registration matches '^dem.*';
store b into ':OUTPATH:' using PigStorage;\,
			},
			{
			'num' => 4,
			'pig' => q\a = load ':INPATH:/singlefile/votertab10k' using PigStorage() as (name:chararray, age:int, registration, contributions:double);
b = filter a by name matches 'f.ed' and (chararray)registration matches 'd.m';
store b into ':OUTPATH:' using PigStorage;\,
			},
			{
			'num' => 5,
			'pig' => q\a = load ':INPATH:/singlefile/votertab10k' using PigStorage() as (name:chararray, age:int, registration, contributions:double);
b = filter a by name matches 'f[^f]ed.*';
store b into ':OUTPATH:' using PigStorage;\,
			},
			{
			'num' => 6,
			'pig' => "a = load ':INPATH:/singlefile/votertab10k' using PigStorage() as (name:chararray, age:int, registration, contributions:double);\nb = filter a by name matches '.*\\\\wan.*';\nstore b into ':OUTPATH:' using PigStorage;",
			},
			{
			'num' => 7,
			'pig' => "a = load ':INPATH:/singlefile/votertab10k' using PigStorage() as (name:chararray, age:int, registration, contributions:double);\nb = filter a by name matches '^e.*\\\\sc.*';\nstore b into ':OUTPATH:' using PigStorage;",
			},
			{
			'num' => 8,
			'pig' => "a = load ':INPATH:/singlefile/votertab10k' using PigStorage() as (name:chararray, age:int, registration, contributions:double);\nb = filter a by name matches 'ethan white';\nstore b into ':OUTPATH:' using PigStorage;",
			},
			{
			'num' => 9,
			'pig' => "a = load ':INPATH:/singlefile/studentnulltab10k' using PigStorage() as (name, age, gpa);\nb = filter a by gpa matches '\\\\d\\\\.45';\nstore b into ':OUTPATH:' using PigStorage;",
			},
		]
		},
		{
		'name' => 'FilterUdf',
		'tests' => [
			{
			'num' => 1,
			'pig' => q\
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
c = cogroup a by (name, age), b by (name, age);
d = filter c by not IsEmpty(a);
e = filter d by not IsEmpty(b);
f = foreach e generate flatten(a), flatten(b);
store f into ':OUTPATH:';\,
			},
			{
			    'num' => 2,
			    'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
				           b = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
				           c = filter a by age < 50;
				           d = filter b by age < 50;
				           e = cogroup c by (name, age), d by (name, age);
				           f = filter e by COUNT(c)> 0 AND COUNT(d)>0;
				           store f into ':OUTPATH:';\,
			    'rc' => 0
			},
		]
		},
		# TODO Group that don't flatten via Agg functions
		{
		'name' => 'GroupAggFunc',
		'tests' => [
			{
			'num' => 1,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = group a by name;
c = foreach b generate group, COUNT(a.age);
store c into ':OUTPATH:';\,
			},
			{
			'num' => 2,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k';
b = group a by $0;
c = foreach b generate group, COUNT(a.$1);
store c into ':OUTPATH:';\,
			},
			{
			'num' => 3,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = group a by (name, age);
c = foreach b generate group.name, group.age, COUNT(a.gpa);
store c into ':OUTPATH:';\,
			},
			{
			'num' => 5,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = group a all;
c = foreach b generate COUNT(a.$0);
store c into ':OUTPATH:';\,
			},
			{
			'num' => 6,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = group a by name;
c = foreach b generate group, SUM(a.age);
store c into ':OUTPATH:';\,
			},
			{
			'num' => 7,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = group a by name;
c = foreach b generate group, SUM(a.gpa);
store c into ':OUTPATH:';\,
                        'floatpostprocess' => 1,
                        'delimiter' => '	',
			},
			{
			'num' => 8,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = group a by name;
c = foreach b generate group, AVG(a.age);
store c into ':OUTPATH:';\,
			},
			{
			'num' => 9,
                        'floatpostprocess' => 1,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = group a by name;
c = foreach b generate group, AVG(a.gpa);
store c into ':OUTPATH:';\,
                        'floatpostprocess' => 1,
                        'delimiter' => '	',
                        'decimals' => 6,
			},
			{
			'num' => 10,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = group a by name;
c = foreach b generate group, MIN(a.gpa);
store c into ':OUTPATH:';\,
			},
			{
			'num' => 11,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = group a by name;
c = foreach b generate group, MAX(a.gpa);
store c into ':OUTPATH:';\,
			},
            {
			'num' => 12,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = group a by (name, age);
c = foreach b generate flatten(group), SUM(a.gpa);
store c into ':OUTPATH:';\,
                        'floatpostprocess' => 1,
                        'delimiter' => '	',
			},
            {
			'num' => 13,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = group a by (name);
c = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
d = cogroup b by group, c by name;
e = foreach d generate flatten(group), SUM(c.gpa), COUNT(c.name);
store e into ':OUTPATH:';\,
                        'floatpostprocess' => 1,
                        'delimiter' => '	',
			},
            {
			'num' => 14,
			'pig' => q\a = load ':INPATH:/singlefile/allscalar10k' as (name:chararray, age:int, gpa:double, instate:boolean);
b = group a by (name);
e = foreach b generate COUNT(a.name);
store e into ':OUTPATH:';\,
			'verify_pig_script' => q\a = load ':INPATH:/singlefile/allscalar10k' as (name:chararray, age:int, gpa:double, instate:chararray);
b = group a by (name);
e = foreach b generate COUNT(a.name);
store e into ':OUTPATH:';\,
			}
			],
		},
		{
        'name' => 'MapPartialAgg',
        'tests' => [
                    {
            'num' => 1,
            'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = group a by name;
c = foreach b generate group, COUNT(a.age);
store c into ':OUTPATH:';\,
             'java_params' => ['-Dpig.exec.mapPartAgg=true']
            },
            {
            #multiquery with group in one sub query
            'num' => 2,
            'pig' => q# a = load ':INPATH:/singlefile/studenttab10k' as (name: chararray, age: int, gpa: float); 
                        b = filter a by age < 22; store b into ':OUTPATH:.1'; 
                        c = group b by age; 
                        d = foreach c generate group, SUM(b.gpa);
                        store d into ':OUTPATH:.2'; #,
            'java_params' => ['-Dpig.exec.mapPartAgg=true']
            
            },
            {
             #multi query with two group on diff columns
            'num' => 3,
            'pig' => q# a = load ':INPATH:/singlefile/studenttab10k' as (name: chararray, age: int, gpa: float); 
                        g1 = group a by name;
                        f1 = foreach g1 generate group as name, MAX(a.gpa);
                        store f1 into ':OUTPATH:.1'; 
                        g2 = group a by age;
                        f2 = foreach g2 generate group as age, AVG(a.gpa);
                        store f2 into ':OUTPATH:.2'; #,
            'java_params' => ['-Dpig.exec.mapPartAgg=true']
            
            },
            {
             #multi query with three groups on diff columns, group key being an expression
            'num' => 4,
            'pig' => q# a = load ':INPATH:/singlefile/studenttab10k' as (name: chararray, age: int, gpa: float); 
                        g1 = group a by name;
                        f1 = foreach g1 generate group as name, MAX(a.gpa);
                        store f1 into ':OUTPATH:.1'; 
                        g2 = group a by age%10;
                        f2 = foreach g2 generate group as age_mod10, AVG(a.gpa);
                        store f2 into ':OUTPATH:.2'; 
                        g3 = group a by age;
                        f3 = foreach g3 generate group%10, AVG(a.gpa);
                        store f3 into ':OUTPATH:.3';                         
                        g4 = group a by gpa;
                        f4 = foreach g4 generate group as gpa, COUNT(a);
                        store f4 into ':OUTPATH:.4';                                                 
                        
                        #,
            'java_params' => ['-Dpig.exec.mapPartAgg=true']
            
            },
            {
            #aggregation gets more than one tuple for every tuple from load func 
            
            'num' => 5,
            'pig' => q# a = load ':INPATH:/singlefile/studenttab10k' as (name: chararray, age: int, gpa: float); 
                        b = foreach a generate name, age, gpa, flatten(TOBAG(age,age)) as x;
                        c = group b by age; 
                        d = foreach c generate group, AVG(b.gpa);
                        store d into ':OUTPATH:'; #,
            'java_params' => ['-Dpig.exec.mapPartAgg=true']
            
            },
            
            {
            #PIG-4707 Streaming and empty input

            'num' => 6,
            'pig' => q# a = load ':INPATH:/singlefile/studenttab10k' as (name: chararray, age: int, gpa: float); 
                        b = group a by name;
                        c = foreach b generate flatten(a);
                        d = stream c through `cat` as (name, age, gpa);
                        e = filter d by name == 'nonexistent';
                        SPLIT e into f if gpa > 2, g otherwise;
                        store f into ':OUTPATH:.1'; 
                        store g into ':OUTPATH:.2'; 
                        #,
            'java_params' => ['-Dpig.exec.mapPartAgg=true']
            
            },         
        
            ],
        },
		{
		'name' => 'EvalFunc',
		'tests' => [
			{
			'num' => 1,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = filter a by name lt 'b';
c = foreach b generate ARITY(name, age, gpa);
store c into ':OUTPATH:';\,
			},
			{
			'num' => 2,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age, gpa);
b = filter a by name lt 'b';
c = foreach b generate TOKENIZE(name);
d = foreach c generate flatten($0);
store d into ':OUTPATH:';\,
			},
			{
			'num' => 3,
			'pig' => q\register :FUNCPATH:/testudf.jar;
a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = filter a by name lt 'b';
c = foreach b generate org.apache.pig.test.udf.evalfunc.Swap(name, age);
store c into ':OUTPATH:' using org.apache.pig.test.udf.storefunc.StringStore();\,
			},
			{
			'num' => 4,
			'pig' => q\register :FUNCPATH:/testudf.jar;
a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = filter a by name lt 'b';
c = foreach b generate org.apache.pig.test.udf.evalfunc.CreateMap((chararray)name, age);
store c into ':OUTPATH:' using org.apache.pig.test.udf.storefunc.StringStore();\,
			},
                        {
                        'num' => 5,
			'pig' => q\register :FUNCPATH:/testudf.jar;
a = load ':INPATH:/singlefile/allscalar10k' as (name:chararray, age:int, gpa:double, instate:boolean);
b = foreach a generate org.apache.pig.test.udf.evalfunc.TestBoolean(instate);
store b into ':OUTPATH:';\,
                        'verify_pig_script' => q\a = load ':INPATH:/singlefile/allscalar10k' as (name:chararray, age:int, gpa:double, instate:chararray);
b = foreach a generate (instate is null ? '' : (instate == 'true' ? 'false' : 'true'));
store b into ':OUTPATH:';\,
                        }

		]
		},
		# TODO DIFF
		# TODO User defined grouping function
		{
		'name' => 'CoGroupFlatten',
		'tests' => [
			{
			'num' => 1,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
c = filter a by age < 20;
d = filter b by age < 20;
e = cogroup c by name, d by name;
f = foreach e generate flatten (c), flatten(d);
store f into ':OUTPATH:';\,
			},
			{
			'num' => 2,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
c = filter a by $1 < 20;
d = filter b by $1 < 20;
e = cogroup c by $0, d by $0;
f = foreach e generate flatten (c), flatten(d);
store f into ':OUTPATH:';\,
			},
			{
			'num' => 3,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
c = filter a by age < 20;
d = filter b by age < 20;
e = cogroup c by (name, age), d by (name, age);
f = foreach e generate flatten (c), flatten(d);
store f into ':OUTPATH:';\,
			},
			{
			'num' => 4,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
d = filter b by age < 20;
e = cogroup a by (name, age) inner, d by (name, age);
f = foreach e generate flatten (a), flatten(d);
store f into ':OUTPATH:';\,
			},
			{
			'num' => 5,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
c = filter a by age < 20;
e = cogroup c by (name, age), b by (name, age) inner;
f = foreach e generate flatten (c), flatten(b);
store f into ':OUTPATH:';\,
			},
			{
			'num' => 6,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
e = cogroup a by (name, age) inner, b by (name, age) inner;
f = foreach e generate flatten (a), flatten(b);
store f into ':OUTPATH:';\,
			},
            {
            # Test cogrouping data loaded from two separate loaders.  We don't have any data that can join with studenttab that isn't also loaded with PigStorage, so the
            # first step is an intermediate load and store using BinStorage.
    		'num' => 7,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
store a into ':OUTPATH:.intermediate' using BinStorage();
b = load ':OUTPATH:.intermediate' using BinStorage() as (name, age, gpa);
c = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
e = cogroup b by (name, age) inner, c by (name, age) inner;
f = foreach e generate flatten (b), flatten(c);
store f into ':OUTPATH:';\,
            'notmq' => 1,
            },
            
		]
		},
		{
		'name' => 'CoGroup',
		'tests' => [
			{
			'num' => 1,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
c = cogroup a by name, b by name;
d = foreach c generate flatten(group), COUNT(a) + COUNT(b);
store d into ':OUTPATH:';\,
			},
		]
		},
		{
		'name' => 'Join',
		'tests' => [
			{
			'num' => 1,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
c = filter a by age < 20;
d = filter b by age < 20;
e = join c by name, d by name;
store e into ':OUTPATH:';\,
			},
			{
			'num' => 2,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
c = filter a by age < 20;
d = filter b by age < 20;
e = join c by $0, d by $0;
store e into ':OUTPATH:';\,
			},
			{
			'num' => 3,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
c = filter a by age < 20;
d = filter b by age < 20;
e = join c by (name, age), d by (name, age);
store e into ':OUTPATH:';\,
			},
            # self join with implict split
            # JIRA PIG-429
			{
			'num' => 4,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k';
b = filter a by $1 > 25;
c = join a by $0, b by $0;
store c into ':OUTPATH:';\,
			},
            # join with one input having schema and another without
            # JIRA PIG-428
			{
			'num' => 5,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name:chararray,age:int, gpa:double);
another = load ':INPATH:/singlefile/studenttab10k';
c = foreach another generate $0, $1+ 10, $2 + 10.0;
d = join a by $0, c by $0;
store d into ':OUTPATH:';\,
			},
            # self join using fragment replicate join
            # no types
			{
			'num' => 6,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
c = join a by name, b by name using 'repl';
store c into ':OUTPATH:';\,
            'verify_pig_script' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
c = join a by name, b by name ;
store c into ':OUTPATH:';\,
			},
            # self join using fragment replicate join
            # with types and no cast for join key
			{
			'num' => 7,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name:chararray, age:int, gpa:double);
b = load ':INPATH:/singlefile/studenttab10k' as (name:chararray, age:int, gpa:double);
c = join a by name, b by name using 'repl';
store c into ':OUTPATH:';\,
            'verify_pig_script' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name:chararray, age:int, gpa:double);
b = load ':INPATH:/singlefile/studenttab10k' as (name:chararray, age:int, gpa:double);
c = join a by name, b by name ;
store c into ':OUTPATH:';\,

			},
            # self join using fragment replicate join
            # with types and cast for join key
			{
			'num' => 8,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name:chararray, age:int, gpa:double);
b = load ':INPATH:/singlefile/studenttab10k' as (name:chararray, age:int, gpa);
c = join a by gpa, b by gpa using 'repl';
store c into ':OUTPATH:';\,
            'verify_pig_script' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name:chararray, age:int, gpa:double);
b = load ':INPATH:/singlefile/studenttab10k' as (name:chararray, age:int, gpa);
c = join a by gpa, b by gpa ;
store c into ':OUTPATH:';\,

			},
            # left outer join
			{
			'num' => 9,
			'pig' => q\a = load ':INPATH:/singlefile/studentnulltab10k' as (name:chararray, age:int, gpa:double);
b = load ':INPATH:/singlefile/voternulltab10k' as  (name:chararray, age:long, registration:chararray, contributions:double); 
c = join a by name left outer, b by name;
store c into ':OUTPATH:';\,
			},
            # right outer join
			{
			'num' => 10,
			'pig' => q\a = load ':INPATH:/singlefile/studentnulltab10k' as (name:chararray, age:int, gpa:double);
b = load ':INPATH:/singlefile/voternulltab10k' as  (name:chararray, age:long, registration:chararray, contributions:double); 
c = join a by name right outer, b by name;
store c into ':OUTPATH:';\,
			},
            # full outer join
			{
			'num' => 11,
			'pig' => q\a = load ':INPATH:/singlefile/studentnulltab10k' as (name:chararray, age:int, gpa:double);
b = load ':INPATH:/singlefile/voternulltab10k' as  (name:chararray, age:long, registration:chararray, contributions:double); 
c = join a by name full outer, b by name;
store c into ':OUTPATH:';\,
			},
            # see PIG-1209 join package now uses internalcachedBag, so every tuple on reduce side in this test will spilled to disk.
			{
			'num' => 12,
	 		'java_params' => ['-Dpig.cachedbag.memusage=0'],
			 'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
			 b = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
			 c = filter a by age < 20;
			 d = filter b by age < 20;
			 e = join c by name, d by name;
			 store e into ':OUTPATH:';\,
			},
                        {
			'num' => 13,
			'pig' => q\a = load ':INPATH:/singlefile/allscalar10k' as (name:chararray, age:int, gpa:double, instate:boolean);
b = load ':INPATH:/singlefile/allscalar10k' as (name:chararray, age:int, gpa:double, instate:boolean);
c = filter a by age < 20;
d = filter b by age < 20;
e = join c by instate, d by instate parallel 5;
store e into ':OUTPATH:';\,
			'verify_pig_script' => q\a = load ':INPATH:/singlefile/allscalar10k' as (name:chararray, age:int, gpa:double, instate:chararray);
b = load ':INPATH:/singlefile/allscalar10k' as (name:chararray, age:int, gpa:double, instate:chararray);
c = filter a by age < 20;
d = filter b by age < 20;
e = join c by instate, d by instate parallel 5;
store e into ':OUTPATH:';\,
			}
		]
		},
		{
		'name' => 'Foreach',
		'tests' => [
			{
			'num' => 1,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = foreach a generate *;
store b into ':OUTPATH:';\,
			},
			{
			'num' => 2,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k';
b = foreach a generate *;
store b into ':OUTPATH:';\,
			},
			{
			'num' => 3,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = foreach a generate name, age;
store b into ':OUTPATH:';\,
			},
			{
			'num' => 4,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k';
b = foreach a generate $0, $2;
store b into ':OUTPATH:';\,
			},
			{
                # test filter, projection, sort , duplicate elimination
                'num' => 5,
                'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = filter a by age < 20;
c = group b by age;
d = foreach c { 
    cf = filter b by gpa < 3.0; 
    cp = cf.gpa; 
	cd = distinct cp;
    co = order cd by $0; 
    generate group, flatten(co);
    }
store d into ':OUTPATH:';\,
            },
			{
			# test flatten for map and scalar
			'num' => 6,
			'pig' => q\register :FUNCPATH:/testudf.jar;
a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = foreach a generate flatten(name) as n, flatten(org.apache.pig.test.udf.evalfunc.CreateMap((chararray)name, gpa)) as m;
store b into ':OUTPATH:' using org.apache.pig.test.udf.storefunc.StringStore();\,
			'verify_pig_script' => q\register :FUNCPATH:/testudf.jar;
a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = foreach a generate flatten(name) as n, name as m::key, gpa as m::value;
store b into ':OUTPATH:' using org.apache.pig.test.udf.storefunc.StringStore();\,
			},
			{
			# test flatten for UDF that returns bag with multiple tuples with multiple columns
			'num' => 7,
			'pig' => q\register :FUNCPATH:/testudf.jar;
a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = foreach a generate name, flatten(org.apache.pig.test.udf.evalfunc.CreateTupleBag(age, gpa)) as foo;
store b into ':OUTPATH:';\,
			},
			{
			'num' => 8,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age: int, gpa);
c = group a by name;
d = foreach c generate flatten(group), MAX(a.age) + MIN(a.age);
store d into ':OUTPATH:';\,
			},
			{
                # test filter, projection, sort , duplicate elimination
                'num' => 9,
                'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = filter a by age < 20;
c = group b by age;
d = foreach c { 
    cf = filter b by gpa >= 3.0 and gpa <= 3.5; 
    cp = cf.gpa; 
	cd = distinct cp;
    co = order cd by $0; 
    generate group, flatten(co);
    }
store d into ':OUTPATH:';\,
            },
			{
                # test filter, projection, sort , duplicate elimination
                'num' => 10,
                'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = filter a by age < 20;
c = group b by age;
d = foreach c { 
    cf = filter b by (gpa == 4.0 or gpa != 2.0) and name > 'a'; 
    cp = cf.gpa; 
	cd = distinct cp;
    co = order cd by $0; 
    generate group, flatten(co);
    }
store d into ':OUTPATH:';\,
            },
			{
                # test filter, projection, sort , duplicate elimination
                'num' => 11,
                'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = filter a by age < 20;
c = foreach b { 
    exp1 = age + gpa;
    exp2 = exp1 + age;
    generate exp1, exp2;
    }
store c into ':OUTPATH:';\,
            },
			{
                # test a udf with no args
                'num' => 12,
                'pig' => q\register :FUNCPATH:/testudf.jar;
a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = foreach a generate name, org.apache.pig.test.udf.evalfunc.Fred() as fred;
store b into ':OUTPATH:';\,
            },
            		{
			'num' => 13,
		'pig' => q\a = load ':INPATH:/singlefile/allscalar10k' as (name:chararray, age:int, gpa:double, instate:boolean);
b = foreach a generate *;
store b into ':OUTPATH:';\,
		'verify_pig_script' => q\a = load ':INPATH:/singlefile/allscalar10k' as (name:chararray, age:int, gpa:double, instate:chararray);
b = foreach a generate *;
store b into ':OUTPATH:';\,
			}
		]
		},
		{
		'name' => 'Order',
		'tests' => [
			{
			'num' => 1,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = foreach a generate name;
c = order b by name;
store c into ':OUTPATH:';\,
			'sortArgs' => ['-t', '	', '-k', '1,1'],
			},
			{
			'num' => 2,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k';
b = foreach a generate $1;
c = order b by $0;
store c into ':OUTPATH:';\,
			'sortArgs' => ['-t', '	', '-k', '1,1'],
			},
			{
			'num' => 3,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = foreach a generate gpa;
c = order b by gpa;
store c into ':OUTPATH:';\,
			'sortArgs' => ['-t', '	', '-k', '1,1'],
			},
			{
			'num' => 4,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k';
b = order a by *;
store b into ':OUTPATH:';\,
			'sortArgs' => ['-t', '	'],
			},
			{
			'num' => 5,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = foreach a generate name, age;
c = order b by name, age;
store c into ':OUTPATH:';\,
			'sortArgs' => ['-t', '	', '-k', '1,2'],
			},
            {
			'num' => 6,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k';
c = order a by $0;
store c into ':OUTPATH:';\,
			'sortArgs' => ['-t', '	', '-k', '1,1'],
			},
            {
			'num' => 7,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k';
c = order a by $1;
store c into ':OUTPATH:';\,
			'sortArgs' => ['-t', '	', '-k', '2,2'],
			},
            {
			'num' => 8,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k';
c = order a by $0, $1;
store c into ':OUTPATH:';\,
			'sortArgs' => ['-t', '	', '-k', '1,2'],
			},
            {
			'num' => 9,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k';
c = order a by $1, $0;
store c into ':OUTPATH:';\,
			'sortArgs' => ['-t', '	', '-k', '2,2', '-k', '1,1'],
			},
            {
			'num' => 10,
			'ignore' => 'order by UDF is not supported',
			'pig' => q\register :FUNCPATH:/testudf.jar;
a = load ':INPATH:/singlefile/studenttab10k';
c = order a by * using org.apache.pig.test.udf.orderby.OrdDesc;
store c into ':OUTPATH:';\,
			'sortArgs' => ['-t', '	', '-r'],
			},
            {
			'num' => 11,
			'ignore' => 'order by UDF is not supported',
			'pig' => q\register :FUNCPATH:/testudf.jar;
a = load ':INPATH:/singlefile/studenttab10k';
c = order a by $0 using org.apache.pig.test.udf.orderby.OrdDesc;
store c into ':OUTPATH:';\,
			'sortArgs' => ['-t', '	', '-r', '-k', '1,1'],
			},
            {
			'num' => 12,
			'ignore' => 'order by UDF is not supported',
			'pig' => q\register :FUNCPATH:/testudf.jar;
a = load ':INPATH:/singlefile/studenttab10k';
c = order a by $0, $1 using org.apache.pig.test.udf.orderby.OrdDesc;
store c into ':OUTPATH:';\,
			'sortArgs' => ['-t', '	', '-r', '-k', '1,2'],
			},
# ALERT All these tests with inner order bys aren't testing the inner
# ordering.  We need to develop a sorting tool to do that.
            {
			'num' => 13,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k';
b = group a by $0;
c = foreach b {c1 = order $1 by $1; generate flatten(c1); };
store c into ':OUTPATH:';\,
			},
            {
			'num' => 14,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k';
b = group a by $0;
c = foreach b {c1 = order $1 by *; generate flatten(c1); };
store c into ':OUTPATH:';\,
			},
            {
			'num' => 15,
			'pig' => q\register :FUNCPATH:/testudf.jar;
a = load ':INPATH:/singlefile/studenttab10k';
b = group a by $0;
c = foreach b {c1 = order $1 by * using org.apache.pig.test.udf.orderby.OrdDesc; generate flatten(c1); };
store c into ':OUTPATH:';\,
			},
            {
			'num' => 16,
			'pig' => q\register :FUNCPATH:/testudf.jar;
a = load ':INPATH:/singlefile/studenttab10k';
b = group a by $0;
c = foreach b {c1 = order $1 by $1 using org.apache.pig.test.udf.orderby.OrdDesc; generate flatten(c1);};
store c into ':OUTPATH:';\,
			},
            {
			'num' => 17,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k';
b = group a by $0;
c = foreach b {c1 = order $1 by $1; generate flatten(c1), MAX($1.$1); };
store c into ':OUTPATH:';\,
			},
            {
            # test to make sure the weighted range patitioning
            # works correctly when a sort key value repeats across
            # reduce partitions
			'num' => 18,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k';
b = order a by $1 parallel 100;
store b into ':OUTPATH:';\,
			'sortArgs' => ['-t', '	', '-k', '2,2'],
			},
			{
			'num' => 19,
			'pig' => q\a = load ':INPATH:/singlefile/allscalar10k' as (name:chararray, age:int, gpa:double, instate:boolean);
b = foreach a generate instate;
c = order b by instate;
store c into ':OUTPATH:';\,
			'verify_pig_script' => q\a = load ':INPATH:/singlefile/allscalar10k' using PigStorage() as (name:chararray, age:int, gpa:double, instate:chararray);
b = foreach a generate instate;
c = order b by instate;
store c into ':OUTPATH:';\,
			'sortArgs' => ['-t', '	', '-k', '1,1'],
			},
                        {
			'num' => 20,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name:chararray, age:int, gpa:double);
b = order a by name ASC, age DESC parallel 9;
store b into ':OUTPATH:';\,
                        'sortArgs' => ['-t', '	', '-k', '1,1', '-k', '2,2nr'],
			},
		]
		},
		{
		'name' => 'Distinct',
		'tests' => [
			{
			'num' => 1,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = foreach a generate name;
c = distinct b;
store c into ':OUTPATH:';\,
			},
			{
			'num' => 2,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k';
b = foreach a generate $1;
c = distinct b;
store c into ':OUTPATH:';\,
			},
			{
			'num' => 3,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = foreach a generate gpa;
c = distinct b;
store c into ':OUTPATH:';\,
			},
			{
			'num' => 4,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k';
b = distinct a;
store b into ':OUTPATH:';\,
			},
			{
			'num' => 5,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = foreach a generate name, age;
c = distinct b;
store c into ':OUTPATH:';\,
			},
			{
			'num' => 6,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = group a by name;
c = foreach b { aa = distinct a.age; generate group, COUNT(aa); }
store c into ':OUTPATH:';\,
			}
		]
		},
		{
		'name' => 'Cross',
		'tests' => [
			{
			'num' => 1,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
c = filter a by age < 19 and gpa < 1.0;
d = filter b by age < 19;
e = cross c, d;
store e into ':OUTPATH:';\,
			},
			{
			'num' => 2,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
c = filter a by age < 19 and gpa < 1.0;
d = filter b by age < 19;
e = cross c, d parallel 10;
store e into ':OUTPATH:';\,
			},
			{
			'num' => 3,
			'pig' => q\set default_parallel 10;
a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
c = filter a by age < 19 and gpa < 1.0;
d = filter b by age < 19;
e = cross c, d;
store e into ':OUTPATH:';\,
			},
			{
			'num' => 4,
			'pig' => q\
a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
c = filter a by age < 25;
d = filter b by age < 25;
e = cross c, d;
f = filter e by c::age < d::age;
store f into ':OUTPATH:';\,
			},
			{
			'num' => 5,
			'pig' => q\
set default_parallel 2
a = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
b = foreach a generate registration;
c = distinct b;
d = group c all;
e = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
f = cross e, d;
g = foreach f generate $0, $1, $2, flatten($3);
store g into ':OUTPATH:';\,
                        'verify_pig_script' => q\
a = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
b = foreach a generate registration;
c = distinct b;
d = group c all;
e = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
f = cross e, d;
g = foreach f generate $0, $1, $2, flatten($3);
store g into ':OUTPATH:';\,
			}
		]
		},
		{
		'name' => 'Union',
		'tests' => [
			{ 
			# Simple store
			'num' => 1,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
c = foreach a generate name, age;
d = foreach b generate name, age;
e = union c, d;
store e into ':OUTPATH:';\,
			},
			{ 
			# Union + Groupby + Combiner
            'num' => 2,
            'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = load ':INPATH:/singlefile/studentcolon10k' using PigStorage(':') as (name, age, gpa);
c = union a, b;
d = group c by name;
e = foreach d generate group, SUM(c.age);
store e into ':OUTPATH:';\,
            },
            {
            # Union + Groupby + Secondary key partitioner
            'num' => 3,
            'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = load ':INPATH:/singlefile/studentcolon10k' using PigStorage(':') as (name, age, gpa);
c = union a, b;
d = group c by name;
d1 = group c by name; -- Two separate groupbys to ensure secondary key partitioner
e = foreach d { f = order c by age, gpa ; g = limit f 1; generate g; };
h = foreach d1 { i = order c by age asc, gpa desc; j = limit i 1; generate j; };
store e into ':OUTPATH:.1';
store h into ':OUTPATH:.2';\,
            },
            {
            # Union + Orderby
            'num' => 4,
            'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = load ':INPATH:/singlefile/studentcolon10k' using PigStorage(':') as (name, age, gpa);
c = union a, b;
d = order c by name PARALLEL 2;
store d into ':OUTPATH:';\,
            'sortArgs' => ['-t', '	', '-k', '1,1'],
            },
            {
            # Simple split + Union
            'num' => 5,
            'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = load ':INPATH:/singlefile/studentcolon10k' using PigStorage(':') as (name, age, gpa);
split a into a1 if age < 50, a2 otherwise;
c = union a1, b;
d = order c by name PARALLEL 2;
store a2 into ':OUTPATH:.1';
store d into ':OUTPATH:.2';\,
            },
            {
            # Union + Join
            'num' => 6,
            'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = load ':INPATH:/singlefile/studentcolon10k' using PigStorage(':') as (name, age, gpa);
c = union a, b;
d = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
e = join c by name, d by name PARALLEL 2;
store e into ':OUTPATH:';\,
            },
            {
            # Union + Replicate Join left
            'num' => 7,
            'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = load ':INPATH:/singlefile/studentcolon10k' using PigStorage(':') as (name, age, gpa);
c = union a, b;
d = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
e = join c by name, d by name using 'replicated';
store e into ':OUTPATH:';\,
            },
            {
            # Union + Replicate Join right
            'num' => 8,
            'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = load ':INPATH:/singlefile/studentcolon10k' using PigStorage(':') as (name, age, gpa);
c = union a, b;
d = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
e = join d by name, c by name using 'replicated';
store e into ':OUTPATH:';\,
            },
            {
            # Union + Skewed Join left
            'num' => 9,
            'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = load ':INPATH:/singlefile/studentcolon10k' using PigStorage(':') as (name, age, gpa);
c = union a, b;
d = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
e = join c by name, d by name using 'skewed' PARALLEL 5;
store e into ':OUTPATH:';\,
            },
            {
            # Union + Skewed Join right
            'num' => 10,
            'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = load ':INPATH:/singlefile/studentcolon10k' using PigStorage(':') as (name, age, gpa);
c = union a, b;
d = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
e = join d by name, c by name using 'skewed' PARALLEL 5;
store e into ':OUTPATH:';\,
            },
            {
            'num' => 11,
            'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = load ':INPATH:/singlefile/studentcolon10k' using PigStorage(':') as (name, age, gpa);
c = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
d = foreach a generate name, age;
e = foreach b generate name, age;
f = foreach c generate name, age;
g = union d, e;
h = union f, g;
i = group h by name;
i = foreach i generate group, SUM(h.age);
store i into ':OUTPATH:';\,
            },
            {
            # Union + operators
            'num' => 12,
            'pig' => q\a = load ':INPATH:/singlefile/studentnulltab10k' as (name:chararray, age:int, gpa:double);
b = load ':INPATH:/singlefile/studentcolon10k' using PigStorage(':') as (name:chararray, age:int, gpa:double);
c = union a, b;
-- Exercise all expression operators --
d = foreach c generate (name is not NULL? UPPER(name) : 'FNU LNU') as name, (age < 30 ? -1 : age) as age, (gpa is NULL ? 0.0 : ((gpa > 0.5 AND gpa < 1.0) ? 1 : gpa)) as gpa;
e = filter d by (name matches '.*MIKE.*') OR (NOT (gpa + 1.5 > 4));
store e into ':OUTPATH:';\,
            },
            {
            # Union + Groupby + Replicate join
            'num' => 13,
            'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = load ':INPATH:/singlefile/studentcolon10k' using PigStorage(':') as (name, age, gpa);
c = union a, b;
d = group c by name;
e = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
f = join d by group, e by name using 'replicated';
g = foreach f generate group, flatten(c), name, age, registration, contributions;
store g into ':OUTPATH:';\,
            },
            {  
            # Group by with Secondary Key + Union
            'num' => 14,
            'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name:chararray, age, gpa);
b = load ':INPATH:/singlefile/studentcolon10k' using PigStorage(':') as (name:chararray, age, gpa);
c = group a by name;
d = foreach c {
    sorted = order a by name,age,gpa;
    lmt = limit sorted 1;
    generate lmt as c1;
};
e = foreach d generate flatten(c1) as (name:chararray, age, gpa);
f = group b by name;
g = foreach f {
    sorted = order b by name,age,gpa;
    lmt = limit sorted 1;
    generate lmt as f1;
};
h = foreach g generate flatten(f1) as (name:chararray, age, gpa);
i = union e, h;
j = order i by name parallel 1;
store j into ':OUTPATH:';\,
            'sortArgs' => ['-t', '	', '-k', '1,1'],
            },
            {
            # Union + Cross
            'num' => 15,
            'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa:float);
b = load ':INPATH:/singlefile/studentcolon10k' using PigStorage(':') as (name, age, gpa:float);
c = filter a by gpa >= 4;
d = cross a, c;
e = union b, d;
store e into ':OUTPATH:';\,
            },
            { 
            # Union + Distinct
            'num' => 16,
            'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = load ':INPATH:/singlefile/studentcolon10k' using PigStorage(':') as (name, age, gpa);
c = union a, b;
d = distinct c;
store c into ':OUTPATH:';\,
            },
            {
            # Union + Groupby + FILTER
            'num' => 17,
            'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa:float);
b = load ':INPATH:/singlefile/studentcolon10k' using PigStorage(':') as (name, age, gpa:float);
c = group a by name;
d = group b by name;
e = union c, d;
e = foreach e generate $0, $1 as groupbag;
f = foreach e {
     g = order $1 by age asc, gpa desc;  
     h = filter g by (gpa == 0 ? true : false);
     generate group, h; };
store f into ':OUTPATH:';\,
            }
		]
		},
		{
		'name' => 'Bincond',
		'tests' => [
			{
			'num' => 1,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = foreach a generate name, (name matches 'yuri.*' ? age - 10 : (int)age);
store b into ':OUTPATH:';\,
			},
		]
		},
		{
		'name' => 'Glob',
		'tests' => [
			{
			'num' => 1,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10?' as (name, age, gpa);
b = filter a by name == 'nick miller';
store b into ':OUTPATH:';\,
			},
			{
			'num' => 2,
			'pig' => q\a = load ':INPATH:/singlefile/st*ttab10k' as (name, age, gpa);
b = filter a by name == 'nick miller';
store b into ':OUTPATH:';\,
			},
			{
			'num' => 3,
			'pig' => q\a = load ':INPATH:/singlefile/voter*' as (name, age, registration, contributions);
b = filter a by name == 'nick miller';
store b into ':OUTPATH:';\,
			},
			{
			'num' => 4,
			'pig' => q\a = load ':INPATH:/singlefile/student???10k' as (name, age, registration, contributions);
b = filter a by name == 'nick miller';
store b into ':OUTPATH:';\,
			},
			{
			'num' => 5,
			'pig' => q\a = load ':INPATH:/singlefile/studentta[a-z][1-9]0[!m],:INPATH:/singlefile/voter{,null}tab10k' as (name, age);
b = filter a by name == 'nick miller';
store b into ':OUTPATH:';\,
			},
			{
			'num' => 6,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab[13]0[km]' as (name, age, gpa);
b = filter a by name == 'nick miller';
store b into ':OUTPATH:';\,
			},
			{
			'num' => 7,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab[12]0[a-l]' as (name, age, gpa);
b = filter a by name == 'nick miller';
store b into ':OUTPATH:';\,
			},
			{
			'num' => 8,
			'pig' => q\a = load ':INPATH:/glob/star/*good' as (name, age, gpa);
b = filter a by name == 'nick miller';
store b into ':OUTPATH:';\,
			},
			{
			'num' => 9,
			'pig' => q\a = load ':INPATH:/glob/star/*' as (name, age, gpa);
b = filter a by name == 'nick miller';
store b into ':OUTPATH:';\,
			}
		]
		},
		{
		'name' => 'Arithmetic',
		'tests' => [
			{
			'num' => 1,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
c = foreach a generate age + 1, (int)gpa + 1;
store c into ':OUTPATH:';\,
			},
			{
			'num' => 2,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
c = foreach a generate (double)age + 1.5, gpa + 1.5;
store c into ':OUTPATH:';\,
			},
			{
			'num' => 3,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
c = foreach a generate age - 30, (int)gpa - 3;
store c into ':OUTPATH:';\,
			},
			{
			'num' => 4,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
c = foreach a generate (double)age - 30.1, gpa - 3.199;
store c into ':OUTPATH:';\,
			},
			{
			'num' => 5,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
c = foreach a generate age * 10, (int)gpa * 2;
store c into ':OUTPATH:';\,
			},
			{
			'num' => 6,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
c = foreach a generate (double)age * 10.1, gpa * 2.752342;
store c into ':OUTPATH:';\,
			},
			{
			'num' => 7,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
c = foreach a generate age  / 30, (int)gpa / 3;
store c into ':OUTPATH:';\,
			},
			{
			'num' => 8,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
c = foreach a generate (double)age / 30.323, gpa / 3.22;
store c into ':OUTPATH:';\,
			},
			{
			'num' => 9,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
c = foreach a generate 3 * age + gpa / 9.1 - 2;
store c into ':OUTPATH:';\,
			},
			{
			'num' => 10,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
c = foreach a generate 3 * (age + gpa) / (9.1 - 2);
store c into ':OUTPATH:';\,
			}
		]
		},
		{
		'name' => 'Regression',
		'tests' => [
			{
			'num' => 1459894,
			'pig' => q\a = load ':INPATH:/singlefile/reg1459894';
b = group a by $0;
c = foreach b generate group, COUNT(a.$1);
store c into ':OUTPATH:';\,
			},
            {
			'num' => 97,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
e = cogroup a by name, b by name;
f = foreach e generate group, COUNT(a), COUNT(b);
store f into ':OUTPATH:';\,
			},
            {
			'num' => 203,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = group a by name;
c = foreach b generate group, COUNT($1);
store c into ':OUTPATH:';
--This is a really long script to test that when script size exceeds 1k we can still parse it.
--The quick sly fox jumped over the lazy brown dog.
--he quick sly fox jumped over the lazy brown dog.T
--e quick sly fox jumped over the lazy brown dog.Th
-- quick sly fox jumped over the lazy brown dog.The
--quick sly fox jumped over the lazy brown dog.The 
--uick sly fox jumped over the lazy brown dog.The q
--ick sly fox jumped over the lazy brown dog.The qu
--ck sly fox jumped over the lazy brown dog.The qui
--k sly fox jumped over the lazy brown dog.The quic
-- sly fox jumped over the lazy brown dog.The quick
--sly fox jumped over the lazy brown dog.The quick 
--ly fox jumped over the lazy brown dog.The quick s
--y fox jumped over the lazy brown dog.The quick sl
-- fox jumped over the lazy brown dog.The quick sly
--fox jumped over the lazy brown dog.The quick sly 
--ox jumped over the lazy brown dog.The quick sly f
--x jumped over the lazy brown dog.The quick sly fo
-- jumped over the lazy brown dog.The quick sly fox
--jumped over the lazy brown dog.The quick sly fox 
--umped over the lazy brown dog.The quick sly fox j
--mped over the lazy brown dog.The quick sly fox ju
--ped over the lazy brown dog.The quick sly fox jum\,
			}
		]
		},
        {
		'name' => 'Unicode',
		'tests' => [
			{
			'num' => 1,
			'pig' => q\a = load ':INPATH:/singlefile/unicode100';
store a into ':OUTPATH:';\,
			},
		]
		},
		{
		'name' => 'Parameters',
		'tests' => [
			{
				# test default
				'num' => 1,
				'pig' => q\%default fname 'studenttab10k'
a = load ':INPATH:/singlefile/$fname' using PigStorage() as (name, age, gpa);
b = foreach a generate name;
store b into ':OUTPATH:';\,
			},
			{
				# test paramter from command line
				'num' => 2,
				'pig_params' => ['-p', qq(fname='studenttab10k')],
				'pig' => q\a = load ':INPATH:/singlefile/$fname' using PigStorage() as (name, age, gpa);
b = foreach a generate name;
store b into ':OUTPATH:';\,
			},
			{
				# test paramter from param file
				'num' => 3,
				'pig_params' => ['-m', ":PARAMPATH:/params_3"],
				'pig' => q\a = load ':INPATH:/singlefile/$fname' using PigStorage() as (name, age, gpa);
b = foreach a generate name;
store b into ':OUTPATH:';\,
			},
			{
				# test command
				'num' => 4,
				'pig' => q\%declare cmd `perl -e "print 'studenttab10k'"`
a = load ':INPATH:/singlefile/$cmd' using PigStorage() as (name, age, gpa);
b = foreach a generate name;
store b into ':OUTPATH:';\,
			},
                        {
				# test parameter with a space
				'num' => 5,
				'pig_params' => ['-p', qq(setting='set default_parallel 100;'),'-p',qq(fname='studenttab10k')],
				'pig' => q\a = load ':INPATH:/singlefile/$fname' using PigStorage() as (name, age, gpa);
$setting
b = foreach a generate name;
store b into ':OUTPATH:';\,
                                'verify_pig_script' => q\a = load ':INPATH:/singlefile/$fname' using PigStorage() as (name, age, gpa);
b = foreach a generate name;
store b into ':OUTPATH:';\,
			},
		]
		},

		{
		'name' => 'Types_Constants',
		'tests' => [
			{
				#  constants
				'num' => 1,
				'pig' => q\a = load ':INPATH:/singlefile/studentnulltab10k' as (name:chararray, age:int, gpa:double);
b = foreach a generate age + 1 + 0.2f + 253645L, gpa+1;
store b into ':OUTPATH:';\,
			},
			{
                #  constants
                'num' => 2,
                'pig' => q\a = load ':INPATH:/singlefile/studentnulltab10k' as (name:chararray, age:int, gpa:double);
b = foreach a generate -(age + 1 + 0.2f + 253645L), -(gpa+1);
store b into ':OUTPATH:';\,
            },
            {
                # test precision for doubles is atleast 15 digits
                'num' => 3,
                'pig' => q\a = load ':INPATH:/singlefile/studentnulltab10k' as (name:chararray, age:int, gpa:double);
b = foreach a generate 0.123456789123456+0.123456789123456;
store b into ':OUTPATH:';\,
            },
			]
        },

        {
        'name' => 'Types_Cast',
        'tests' => [
            {
                #  NULL and cast
                'num' => 1,
                'pig' => q\a = load ':INPATH:/singlefile/studentnulltab10k' as (name:chararray, age:int, gpa:double);
b = foreach a generate (int)((int)gpa/((int)gpa - 1)) as norm_gpa:int;
c = foreach b generate (norm_gpa is null? 0 :norm_gpa);
store c into ':OUTPATH:';\,
                 #  'expected_err_regex' => "Encountered Warning DIVIDE_BY_ZERO 2387 time.*",
                 #  Driver does currently not support both 'sql' and 'expected_...' verification directives.
            },
			{
                #  Not NULL and cast
                'num' => 2,
                'pig' => q\a = load ':INPATH:/singlefile/studentnulltab10k' as (name:chararray, age:int, gpa:double);
b = foreach a generate (int)((int)gpa/((int)gpa - 1)) as norm_gpa:int;
c = foreach b generate (norm_gpa is not null? norm_gpa: 0);
store c into ':OUTPATH:';\,
            },
               #  boolean cast
            {
                'num' => 3,
                'pig' => q\a = load ':INPATH:/singlefile/allscalar10k' using PigStorage() as (name:chararray, age:int, gpa:double, instate:boolean);
b = foreach a generate instate, true, false;
store b into ':OUTPATH:';\,
                'verify_pig_script' => q\a = load ':INPATH:/singlefile/allscalar10k' using PigStorage() as (name:chararray, age:int, gpa:double, instate:chararray);
b = foreach a generate instate, 'true', 'false';
store b into ':OUTPATH:';\,
            },
            ]
        },

        {
        'name' => 'Types_ArithmeticCast',
        'tests' => [
			{
				#  arithmetic operators and SIZE for int, double and size and concat operators for chararrays
				'num' => 1,
				'pig' => q\a = load ':INPATH:/singlefile/studentnulltab10k' as (name:chararray, age:int, gpa:double);
b = foreach a generate age, gpa, age % 25, age + 25, age - 25, age/2, age * 2, SIZE(age), gpa + 10.1, gpa - 1.1 , gpa / 1.2, gpa * 2.5, SIZE(gpa), SIZE(name), CONCAT(name, 'test');
store b into ':OUTPATH:';\,
			},
			{
				#  arithmetic operators and SIZE for long, float and size and concat operators for bytearrays
				'num' => 2,
				'pig' => q\a = load ':INPATH:/singlefile/studentnulltab10k' as (name, age:long, gpa:float);
b = foreach a generate age, gpa, age % 2L, age + 2500000000L, age - 2500000000L, age/2L, age * 250000000L, SIZE(age), gpa + 10.1f, gpa - 1.1f , gpa / 1.2f, gpa * 2.6f, SIZE(gpa), SIZE(name), CONCAT(name, name);
store b into ':OUTPATH:';\,
			},
			{
                #  equality and implicit cast
                'num' => 3,
                'pig' => q\a = load ':INPATH:/singlefile/studentnulltab10k' as (name, age, gpa);
b = filter a by age == '25' and gpa < 3; 
store b into ':OUTPATH:';\,

            },
			{
                # will need to test against previous version of pig 
                # because in pig currently count includes nulls - this affects
                # avg
				'num' => 4,
				'pig' => q\a = load ':INPATH:/singlefile/studentnulltab10k' as (name:chararray, age:int, gpa:double);
b = group a ALL;
c = foreach b generate SUM(a.age), MIN(a.age), MAX(a.age), AVG(a.age), MIN(a.name), MAX(a.name), SUM(a.gpa), MIN(a.gpa), MAX(a.gpa), AVG(a.gpa);
store c into ':OUTPATH:';\,
                                'floatpostprocess' => 1,
                                'delimiter' => '	',
			},
			{
				#  sum, min, max, avg for long and float (declared)
				'num' => 5,
				'pig' => q\a = load ':INPATH:/singlefile/studentnulltab10k' as (name, age:long, gpa:float);
b = group a ALL;
c = foreach b generate SUM(a.age), MIN(a.age), MAX(a.age), AVG(a.age), SUM(a.gpa), MIN(a.gpa), MAX(a.gpa), AVG(a.gpa);
store c into ':OUTPATH:';\,
			},
			{
				#  Explicit casts - arithmetic operators and SIZE for int, double and size and concat operators for chararrays
				'num' => 6,
				'pig' => q\a = load ':INPATH:/singlefile/studentnulltab10k' as (name, age, gpa);
b = foreach a generate (int)age % 25, (int)age + 25, (int)age - 25, (int)age/2, (int)age * 2, SIZE((int)age), (double)gpa + 10.1, (double)gpa - 1.1 , (double)gpa / 1.2, (double)gpa * 2.5, SIZE((double)gpa), SIZE((chararray)name), CONCAT((chararray)name, 'test');
store b into ':OUTPATH:';\,
			},
			{
				#  Explicit casts - arithmetic operators and SIZE for long, float
				'num' => 7,
				'pig' => q\a = load ':INPATH:/singlefile/studentnulltab10k' as (name, age, gpa);
b = foreach a generate (long)age, (long)age % 2L, (long)age + 2500000000L, (long)age - 2500000000L, (long)age/2L, (long)age * 250000000L, SIZE((long)age), (float)gpa + 10.1f, (float)gpa - 1.1f , (float)gpa / 1.2f, (float)gpa * 2.6f, SIZE((float)gpa);
store b into ':OUTPATH:';\,
			},
			]
        },

        {
        'name' => 'Types_Filter',
        'tests' => [
            {
                # Filter is null for chararray and double and is not null for int
                'num' => 1,
				'pig' => q\a = load ':INPATH:/singlefile/studentnulltab10k' as (name:chararray, age:int, gpa:double);
b = filter a by name is null and age is not null and gpa is null;
c = group b ALL;
d = foreach c generate COUNT(b);
store d into ':OUTPATH:';\,
            },
            {
                # Filter is not null for chararray and double and is null for int
                'num' => 2,
				'pig' => q\a = load ':INPATH:/singlefile/studentnulltab10k' as (name:chararray, age:int, gpa:double);
b = filter a by name is not null and age is null and gpa is not null;
c = group b ALL;
d = foreach c generate COUNT(b);
store d into ':OUTPATH:';\,
            },
            {
                # Filter is null for bytearray and float and is not null for long
                'num' => 3,
				'pig' => q\a = load ':INPATH:/singlefile/studentnulltab10k' as (name, age:long, gpa:float);
b = filter a by name is null and age is not null and gpa is null;
c = group b ALL;
d = foreach c generate COUNT(b);
store d into ':OUTPATH:';\,
            },
            {
                # Filter is not null for bytearray and float and is null for long
                'num' => 4,
				'pig' => q\a = load ':INPATH:/singlefile/studentnulltab10k' as (name, age:long, gpa:float);
b = filter a by name is not null and age is null and gpa is not null;
c = group b ALL;
d = foreach c generate COUNT(b);
store d into ':OUTPATH:';\,
            },
			]
        },

        {
        'name' => 'Types_Order',
        'tests' => [
            {
                # test that sorting is based on the type for chararray, int and double
                'num' => 1,
                'pig' =>q\a = load ':INPATH:/singlefile/studentnulltab10k' as (name:chararray, age:int, gpa:double);
b = order a by name, age, gpa;
store b into ':OUTPATH:';\,
                'sortArgs' => ['-t', '	', '-k', '1,1', '-k', '2n,3n'],
            },
            {
                # test that sorting descending is based on the type for chararray, int and double
                'num' => 2,
                'pig' =>q\a = load ':INPATH:/singlefile/studentnulltab10k' as (name:chararray, age:int, gpa:double);
b = order a by name desc, age desc, gpa desc;
store b into ':OUTPATH:';\,
                'sortArgs' => ['-t', '	', '-k', '1r,1r', '-k', '2nr,3nr'],
            },
            {
                # test that sorting is based on the type for bytearray, long and float
                'num' => 3,
                'pig' =>q\a = load ':INPATH:/singlefile/studentnulltab10k' as (name, age:long, gpa:float);
b = order a by name, age, gpa;
store b into ':OUTPATH:';\,
                'sortArgs' => ['-t', '	', '-k', '1,1', '-k', '2n,3n'],
            },
            {
                # test that sorting descending is based on the type for chararray, age and float
                'num' => 4,
                'pig' =>q\a = load ':INPATH:/singlefile/studentnulltab10k' as (name, age:long, gpa:float);
b = order a by name desc, age desc, gpa desc;
store b into ':OUTPATH:';\,
                'sortArgs' => ['-t', '	', '-k', '1r,1r', '-k', '2nr,3nr'],
            },
			{
				#  order by string
				'num' => 5,
				'pig' => q\a = load ':INPATH:/singlefile/studentnulltab10k' as (name:chararray, age:int, gpa:double);
b = order a by name;
store b into ':OUTPATH:';\,
                'sortArgs' => ['-t', '	', '-k', '1,1'],
			},
			{
				#  order by string desc
				'num' => 6,
				'pig' => q\a = load ':INPATH:/singlefile/studentnulltab10k' as (name:chararray, age:int, gpa:double);
b = order a by name desc;
store b into ':OUTPATH:';\,
                'sortArgs' => ['-t', '	', '-k', '1r,1r'],
			},
			{
				#  order by int
				'num' => 7,
				'pig' => q\a = load ':INPATH:/singlefile/studentnulltab10k' as (name:chararray, age:int, gpa:double);
b = order a by age;
store b into ':OUTPATH:';\,
                'sortArgs' => ['-t', '	', '-k', '2n,2n'],
			},
			{
				#  order by int desc
				'num' => 8,
				'pig' => q\a = load ':INPATH:/singlefile/studentnulltab10k' as (name:chararray, age:int, gpa:double);
b = order a by age desc;
store b into ':OUTPATH:';\,
                'sortArgs' => ['-t', '	', '-k', '2nr,2nr'],
			},
			{
				#  order by long
				'num' => 9,
				'pig' => q\a = load ':INPATH:/singlefile/studentnulltab10k' as (name:chararray, age:long, gpa:double);
b = order a by age;
store b into ':OUTPATH:';\,
                'sortArgs' => ['-t', '	', '-k', '2n,2n'],
			},
			{
				#  order by long desc
				'num' => 10,
				'pig' => q\a = load ':INPATH:/singlefile/studentnulltab10k' as (name:chararray, age:long, gpa:double);
b = order a by age desc;
store b into ':OUTPATH:';\,
                'sortArgs' => ['-t', '	', '-k', '2nr,2nr'],
			},
			{
				#  order by float
				'num' => 11,
				'pig' => q\a = load ':INPATH:/singlefile/studentnulltab10k' as (name:chararray, age:int, gpa:float);
b = order a by gpa;
store b into ':OUTPATH:';\,
                'sortArgs' => ['-t', '	', '-k', '3n'],
			},
			{
				#  order by float desc
				'num' => 12,
				'pig' => q\a = load ':INPATH:/singlefile/studentnulltab10k' as (name:chararray, age:int, gpa:float);
b = order a by gpa desc;
store b into ':OUTPATH:';\,
                'sortArgs' => ['-t', '	', '-k', '3nr'],
			},
			{
				#  order by double
				'num' => 13,
				'pig' => q\a = load ':INPATH:/singlefile/studentnulltab10k' as (name:chararray, age:int, gpa:double);
b = order a by gpa;
store b into ':OUTPATH:';\,
                'sortArgs' => ['-t', '	', '-k', '3n'],
			},
			{
				#  order by double desc
				'num' => 14,
				'pig' => q\a = load ':INPATH:/singlefile/studentnulltab10k' as (name:chararray, age:int, gpa:double);
b = order a by gpa desc;
store b into ':OUTPATH:';\,
                'sortArgs' => ['-t', '	', '-k', '3nr'],
			},
			{
				#  order by *
				'num' => 15,
				'pig' => q\a = load ':INPATH:/singlefile/studentnulltab10k' as (name:chararray, age:int, gpa:double);
b = order a by *;
store b into ':OUTPATH:';\,
                'sortArgs' => ['-t', '	', '-k', '1,1', '-k', '2n,3n'],
			},
			{
				#  order by * desc
				'num' => 16,
				'pig' => q\a = load ':INPATH:/singlefile/studentnulltab10k' as (name:chararray, age:int, gpa:double);
b = order a by * desc;
store b into ':OUTPATH:';\,
                'sortArgs' => ['-t', '	', '-k', '1r,1r', '-k', '2nr,3nr'],
			},
			]
        },

        {
        'name' => 'Types_CoGroup',
        'tests' => [
			{
			'num' => 1,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:int, gpa:double);
b = load ':INPATH:/singlefile/votertab10k' as (name:chararray, age:int, registration:chararray, contributions:double);
c = filter a by age < 20;
d = filter b by age < 20;
e = cogroup c by name, d by name;
f = foreach e generate flatten (c), flatten(d);
store f into ':OUTPATH:';\,
			},
			{
			'num' => 2,
			'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:int, gpa:double);
b = load ':INPATH:/singlefile/votertab10k' as (name:chararray, age:int, registration:chararray, contributions:double);
c = filter a by age < 20;
d = filter b by age < 20;
e = cogroup c by age, d by age;
f = foreach e generate flatten (c), flatten(d);
store f into ':OUTPATH:';\,
			},
		]
		},

		{
		'name' => 'Limit',
		'tests' => [
			{
				'num' => 1,
				'pig' =>q\a = load ':INPATH:/singlefile/studentnulltab10k';
b = order a by $0, $1;
c = filter b by $0 > 'a'; -- break the sort/limit optimization
d = limit c 100;
store d into ':OUTPATH:';\,
            	'sortArgs' => ['-t', '	', '-k', '1,2'],
			},
			{
				'num' => 2,
				'pig' =>q\a = load ':INPATH:/singlefile/studentnulltab10k';
b = order a by $0, $1, $2;
c = limit b 100;
store c into ':OUTPATH:';\,
            	'sortArgs' => ['-t', '	', '-k', '1,2'],
			},
			{
				# Make sure that limit higher than number of rows doesn't mess stuff up
				'num' => 3,
				'pig' =>q\a = load ':INPATH:/singlefile/studenttab10k';
b = order a by $0, $1;
c = filter b by $1 < 1000;
d = limit c 100000;
store d into ':OUTPATH:';\,
			},
			{
				'num' => 4,
				'execonly' => 'mapred,local,tez', # Spark doesn't do implicit ordering in distinct
				'pig' =>q\a = load ':INPATH:/singlefile/studentnulltab10k';
b = distinct a;
c = limit b 100;
store c into ':OUTPATH:';\,
			},
			{
				'num' => 5,
				'execonly' => 'mapred,local', #tez may pick either input as part of the optimization so cannot be tested easily
				'pig' =>q\a = load ':INPATH:/singlefile/studenttab10k';
b = load ':INPATH:/singlefile/votertab10k';
a1 = foreach a generate $0, $1;
b1 = foreach b generate $0, $1;
c = union a1, b1;
d = limit c 100;
store d into ':OUTPATH:';\,
			},
			{
				'num' => 6,
				'pig' =>q\A = load ':INPATH:/singlefile/studenttab10k' as (name: chararray, age: int, gpa: float);
B = limit A 40;
C = filter B by age == 40;
D = group C by name;
E = foreach D generate group, COUNT(C);
store E into ':OUTPATH:';\,
			},
			{
				'num' => 7,
				'pig' =>q\A = load ':INPATH:/singlefile/studenttab10k' as (name: chararray, age: int, gpa: float);
B = group A by name;
C = foreach B {
	C1 = limit A 10;
	generate group, COUNT(C1);
}
store C into ':OUTPATH:';\,
			},
			{
				'num' => 8,
				'pig' =>q\A = load ':INPATH:/singlefile/studenttab10k' as (name: chararray, age: int, gpa: float);
B = group A by name;
C = foreach B {
	C1 = filter A by age < 40;
	C2 = limit C1 10;
	generate group, COUNT(C2);
}
D = filter C by $1 > 0;
store D into ':OUTPATH:';\,
			},
 			{
				'num' => 9,
				'pig' =>q\a = load ':INPATH:/singlefile/studentnulltab10k';
b = order a by $0, $1, $2;
c = limit b 1000/10;
store c into ':OUTPATH:';\,

				'verify_pig_script' => q\a = load ':INPATH:/singlefile/studentnulltab10k';
b = order a by $0, $1, $2;
c = limit b 100;
store c into ':OUTPATH:';\,

            	'sortArgs' => ['-t', '	', '-k', '1,2'],
			},
 			{
				'num' => 10,
				'pig' =>q\a = load ':INPATH:/singlefile/studenttab10k' as (name:chararray, age:int, gpa:double);
b = group a all;
c = foreach b generate COUNT(a) as count;
d = limit a c.count/10;
store d into ':OUTPATH:';\,

				'verify_pig_script' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name:chararray, age:int, gpa:double);
b = limit a 1000;
store b into ':OUTPATH:';\,
                        },
 			{
				'num' => 11,
				'pig' =>q\a = load ':INPATH:/singlefile/studenttab10k' as (name:chararray, age:int, gpa:double);
b = group a all;
c = foreach b generate COUNT(a) as count;
d = load ':INPATH:/singlefile/votertab10k';
e = group d all;
f = foreach e generate COUNT(d) as count;
d = limit a c.count/10+f.count/10;
store d into ':OUTPATH:';\,

				'verify_pig_script' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name:chararray, age:int, gpa:double);
b = limit a 2000;
store b into ':OUTPATH:';\,
                        },
			{
				'num' => 12,
				'execonly' => 'tez,spark', #Limit_5 was not able to test on tez.
				'pig' =>q\a = load ':INPATH:/singlefile/studenttab10k';
b = load ':INPATH:/singlefile/studenttab10k';
a1 = foreach a generate $0, $1;
b1 = foreach b generate $0, $1;
c = union a1, b1;
d = limit c 100;
store d into ':OUTPATH:';\,
				'verify_pig_script' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name:chararray, age:int);
b = limit a 100;
store b into ':OUTPATH:';\,
			},
			{
				'num' => 13,
				'execonly' => 'spark', # Limit_4 failed on Spark: distinct doesn't do implicit sort like it does in MR
				'pig' =>q\a = load ':INPATH:/singlefile/studentnulltab10k';
b = distinct a;
c = order b by $0, $1, $2;
d = limit c 100;
store d into ':OUTPATH:';\,
			}
		]
		},
		{
		'name' => 'Split',
		'tests' => [
			{
				'num' => 1,
				'pig' =>q\a = load ':INPATH:/singlefile/studentnulltab10k';
split a into a1 if $0 > 'm', a2 if $0 <= 'm'; 
store a1 into ':OUTPATH:';\,
			},
			{
				'num' => 2,
				'pig' =>q\a = load ':INPATH:/singlefile/studentnulltab10k';
split a into a1 if $0 > 'm', a2 if $0 <= 'm'; 
store a2 into ':OUTPATH:';\,
			},
			{
				'num' => 3,
				'pig' =>q\a = load ':INPATH:/singlefile/studenttab10k';
split a into a1 if $0 > 'm', a2 if $0 <= 'm'; 
b = cogroup a1 by $1, a2 by $1;
c = foreach b generate flatten(a1), flatten(a2);
store c into ':OUTPATH:';\,
			},
			{
				'num' => 4,
				'pig' =>q\a = load ':INPATH:/singlefile/studenttab10k';
split a into a1 if $0 > 'm', a2 if $0 <= 'm'; 
b = cogroup a1 by $1, a2 by $1;
c = foreach b generate flatten($1), flatten($2);
store c into ':OUTPATH:';\,
			},
			{
				'num' => 5,
				'pig' =>q\a = load ':INPATH:/singlefile/studentnulltab10k' as (name, age, gpa);
split a into a1 if name > 'm', a2 if name <= 'm'; 
b = distinct a1;
store b into ':OUTPATH:';\,
			},
			{
				'num' => 6,
				'pig' =>q\a = load ':INPATH:/singlefile/studentnulltab10k' as (name, age, gpa);
split a into a1 if age > 50, a2 if age <= 25; 
b = order a2 by name;
store b into ':OUTPATH:';\,
				'sortArgs' => ['-t', '	', '-k', '1,1'],
			},
			{
				'num' => 7,
				'pig' =>q\a = load ':INPATH:/singlefile/studentnulltab10k' as (name:chararray, age:int, gpa:double);
split a into a1 if name > 'm', a2 if age < 50; 
b = distinct a1;
store b into ':OUTPATH:';\,
			},
			{
				'num' => 8,
				'pig' =>q\a = load ':INPATH:/singlefile/studenttab10k' as (name:chararray, age:int, gpa:double);
split a into a1 if age > 50, a2 if name < 'm'; 
b2 = foreach a2 generate name, 1;
b1 = foreach a1 generate name, 2;
c = cogroup b2 by name, b1 by name;
d = foreach c generate flatten(group), COUNT($1), COUNT($2);
store d into ':OUTPATH:';\,
			},
			{
				'num' => 9,
				'pig' =>q\a = load ':INPATH:/singlefile/studenttab10k' as (name:chararray, age:int, gpa:double);
split a into a1 if age > 50, a2 if name < 'm'; 
b2 = distinct a2;
b1 = order a1 by name;
c = cogroup b2 by name, b1 by name;
d = foreach c generate flatten(group), COUNT($1), COUNT($2);
store d into ':OUTPATH:';\,
			},
			{
				'num' => 10,
				'pig' =>q\a = load ':INPATH:/singlefile/studenttab10k' as (name:chararray, age:int, gpa:double);
split a into a1 if age > 50, a2 otherwise;
store a1 into ':OUTPATH:.1';
store a2 into ':OUTPATH:.2';\,
				'verify_pig_script' =>q\a = load ':INPATH:/singlefile/studenttab10k' as (name:chararray, age:int, gpa:double);
split a into a1 if age > 50, a2 if age<=50;
store a1 into ':OUTPATH:.1';
store a2 into ':OUTPATH:.2';\,
			}
		]
		},
		{
		'name' => 'ImplicitSplit',
		'tests' => [
			{
				'num' => 1,
				'pig' =>q\a = load ':INPATH:/singlefile/studenttab10k';
b = filter a by $1 > 50;
c = filter a by $2 > 3.0;
d = cogroup b by $0, c by $0;
e = foreach d generate flatten(b), flatten(c);
store e into ':OUTPATH:';\,
			},
			{
				'num' => 2,
				'pig' =>q\a = load ':INPATH:/singlefile/studenttab10k' as (name:chararray, age:int, gpa:double);
b = filter a by age > 50;
c = filter a by gpa > 3.0;
d = cogroup b by name, c by name;
e = foreach d generate flatten(b), flatten(c);
f = filter e by b::age < 75;
store f into ':OUTPATH:';\,
			}
		]
		},
		{
		'name' => 'describe',
		'tests' => [
                        #JIRA[PIG-373]
			{
			'num' => 1,
			'pig' => q\ 
A = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:int, gpa: double);
describe A;
store A into ':OUTPATH:';\,

			},
			{
			'num' => 2,
			'pig' => q\ 
A = load 'sample' as (line:chararray);
B = foreach A generate flatten(STRSPLIT(line)) as (i0, i1, i2);
describe B;\,
                        'expected_out_regex'  => 'B: \\{i0: bytearray,i1: bytearray,i2: bytearray}',
			},
		],
		},
		{
		'name' => 'Sample',
		'tests' => [
			{
			'num' => 1,
			'pig' => q\ 
A = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:int, gpa: double);
S = sample A 2-1-1;
store S into ':OUTPATH:';\,
'verify_pig_script' => q\ 
A = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:int, gpa: double);
S = sample A 0;
store S into ':OUTPATH:';\,


			},
			{
			'num' => 2,
			'pig' => q\ 
A = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:int, gpa: double);
B = group A all;
C = foreach B generate COUNT(A) as count;
D = group A all;
E = foreach D generate (double)COUNT(A) as count;
S = sample A E.count/C.count;
store S into ':OUTPATH:';\,
'verify_pig_script' => q\ 
A = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:int, gpa: double);
S = sample A 1;
store S into ':OUTPATH:';\,
			},
		],
		},
		{
		'name' => 'MissingColumns',
		'tests' => [
			{
			'num' => 1,
			'pig' => q\ 
A = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age: int, gpa: double, extra: chararray);
B = filter A by age > 50 or extra > 'm';
D = order B by age, extra;
store D into ':OUTPATH:';\,

			'sortArgs' => ['-t', '	', '-k', '2n,2n', '-k', '4,4'],
			},
			{
			'num' => 2,
			'pig' => q\ 
A = load ':INPATH:/singlefile/studenttab10k' using PigStorage();
B = foreach A generate $0, $1 + 1, $3 + 1;
C = group B by ($0, $2);
D = foreach C generate flatten(group), COUNT($1);
store D into ':OUTPATH:';\,

			},
			{
			'num' => 3,
			'pig' => q\ 
A = load ':INPATH:/singlefile/studenttab10k' as (name: chararray, age: int, gpa: double);
B = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa, extra1, extra2);
C = join A by (name, age), B by (name, extra1);
store C into ':OUTPATH:';\,

			# The following SQL should produce empty results, which will match what our pig query should produce.
			}
		],
		},
		{
		'name' => 'Aliases',
        # check access of a field using multiple valid aliases
		'tests' => [
			{
            # check that a free standing alias reference works
            # when it is unambiguous
            # check that a fully qualified alias reference works
            # check that a partially qualified unambiguous alias reference works
			'num' => 1,
			'pig' => q\ 
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:int, gpa: double);
b = group a by name;
c = foreach b generate flatten(a);
d = filter c by name != 'fred';
e = group d by name;
f = foreach e generate flatten(d);
g = foreach f generate name, d::a::name as dname, a::name as aname;
store g into ':OUTPATH:';\,

			},
			{
            # check that the "group" alias is available
            # after a flatten(group)
			'num' => 2,
			'pig' => q\ 
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:int, gpa: double);
b = group a by name;
c = foreach b generate flatten(group), COUNT(a) as cnt;
d = foreach c generate group;
store d into ':OUTPATH:';\,

			},
		],
		},

		{
		'name' => 'Lineage',
        #test if the right cast function is picked
		'tests' => [
			{
			'num' => 1,
			'pig' => q\ 
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = load ':INPATH:/singlefile/textdoc' using TextLoader() as (sentence);
c = cogroup a ALL, b ALL;
d = foreach c generate flatten(a), flatten(b);
e = foreach d generate name, flatten(TOKENIZE((chararray)sentence)) as sentence;
f = foreach e generate CONCAT((chararray)name, sentence);
store f into ':OUTPATH:';\,

			},
			{
			'num' => 2,
			'pig' => q\ 
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age:int, gpa: double);
b = load ':INPATH:/singlefile/textdoc' using TextLoader() as (sentence);
c = cross a, b;
d = foreach c generate name, flatten(TOKENIZE((chararray)sentence)) as sentence;
e = foreach d generate CONCAT((chararray)name, sentence);
store e into ':OUTPATH:';\,

			},
                        {
                        'num' => 3,
                        'pig' => q\
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa: double);
b = foreach a generate age as student_age;
c = filter b by student_age > 50;
d = foreach c generate student_age + 10;
store d into ':OUTPATH:';\,

                        },
			{
			'num' => 4,
			'pig' => q\register :FUNCPATH:/testudf.jar;
a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = filter a by name lt 'b';
c = foreach b generate org.apache.pig.test.udf.evalfunc.CreateMap((chararray)name, (int)age);
d = foreach c generate $0#'alice young';
split d into e if $0 is not null, f if $0 is null;
store e into ':OUTPATH:';\,
			}
		],
		},
        {
		'name' => 'Casts',
		'tests' => [
			{
            # check that a cast of a value of type
            # same as the result type of the cast works
            # when the value is treated as a bytearray
			'num' => 1,
			'floatpostprocess' => 1,
			'delimiter' => '	',
			'pig' => q\ 
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:int, gpa: double);
b = foreach a generate name, age, gpa;
store b into ':OUTPATH:.intermediate' using BinStorage();
c = load ':OUTPATH:.intermediate' using BinStorage();
-- after this load, the fields are treated as bytearrays though
-- they are actually "typed", test that the implicit casts 
-- introduced by the operations in the foreach below will work fine
d = foreach c generate CONCAT((chararray)$0, 'test'), $1 + 1, $2 + 0.2;
store d into ':OUTPATH:';\,

            'notmq' => 1,
			},
			{
            # check that a cast of a value of type
            # same as the result type of the cast works
            # when the value is treated as a bytearray
			'num' => 2,
			'floatpostprocess' => 1,
			'delimiter' => '	',
			'pig' => q\ 
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:long, gpa: float);
b = foreach a generate name, age, gpa;
store b into ':OUTPATH:.intermediate' using BinStorage();
c = load ':OUTPATH:.intermediate' using BinStorage();
-- after this load, the fields are treated as bytearrays though
-- they are actually "typed", test that the implicit casts 
-- introduced by the operations in the foreach below will work fine
d = foreach c generate CONCAT((chararray)$0, 'test'), $1 + 1L, $2 + 0.2f;
store d into ':OUTPATH:';\,

            'notmq' => 1,
			},
			{
             #check that a cast of a value of type
             #same as the result type of the cast works
             #when the value is treated as a bytearray
			'num' => 3,
			'floatpostprocess' => 1,
			'delimiter' => '	',
			'pig' => q\ 
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:long, gpa: float);
b = group a by  name;
c = foreach b generate a, (1,2,3), ['key1'#'value1','key2'#'value2'];
-- store the bag, tuple and map
store c into ':OUTPATH:.intermediate' using BinStorage();
d = load ':OUTPATH:.intermediate' using BinStorage() as (b:bag{t:tuple(x,y,z)}, t2:tuple(a,b,c), m:map[]);
-- after this load, the fields are treated as bytearrays though
-- they are actually "typed", test that the implicit casts 
-- introduced by the operations in the foreach below will work fine
e = foreach d generate COUNT(b), t2.a, t2.b, t2.c, m#'key1', m#'key2';
store e into ':OUTPATH:';\,

            'notmq' => 1,
			},
			{
            # check that a cast of a value of type
            # same as the result type of the cast works
            # when the value is treated as a bytearray
			'num' => 4,
			'floatpostprocess' => 1,
			'delimiter' => '	',
			'pig' => q\ 
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:int, gpa: double);
b = foreach a generate name, age, gpa;
store b into ':OUTPATH:.intermediate' using PigStorage();
c = load ':OUTPATH:.intermediate' using PigStorage();
-- after this load, the fields are treated as bytearrays though
-- they are actually "typed", test that the implicit casts 
-- introduced by the operations in the foreach below will work fine
d = foreach c generate CONCAT((chararray)$0, 'test'), $1 + 1, $2 + 0.2;
store d into ':OUTPATH:';\,

            'notmq' => 1,
			},
			{
            # check that a cast of a value of type
            # same as the result type of the cast works
            # when the value is treated as a bytearray
			'num' => 5,
			'floatpostprocess' => 1,
			'delimiter' => '	',
			'pig' => q\ 
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:long, gpa: float);
b = foreach a generate name, age, gpa;
store b into ':OUTPATH:.intermediate' using PigStorage();
c = load ':OUTPATH:.intermediate' using PigStorage();
-- after this load, the fields are treated as bytearrays though
-- they are actually "typed", test that the implicit casts 
-- introduced by the operations in the foreach below will work fine
d = foreach c generate CONCAT((chararray)$0, 'test'), $1 + 1L, $2 + 0.2f;
store d into ':OUTPATH:';\,

            'notmq' => 1,
			},
			{
             #check that a cast of a value of type
             #same as the result type of the cast works
             #when the value is treated as a bytearray
			'num' => 6,
			'floatpostprocess' => 1,
			'delimiter' => '	',
			'pig' => q\ 
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:long, gpa: float);
b = group a by  name;
c = foreach b generate a, (1,2,3), ['key1'#'value1','key2'#'value2'];
-- store the bag, tuple and map
store c into ':OUTPATH:.intermediate' using PigStorage();
d = load ':OUTPATH:.intermediate' using PigStorage() as (b:bag{t:tuple(x,y,z)}, t2:tuple(a,b,c), m:map[]);
-- after this load, the fields are treated as bytearrays though
-- they are actually "typed", test that the implicit casts 
-- introduced by the operations in the foreach below will work fine
e = foreach d generate COUNT(b), t2.a, t2.b, t2.c, m#'key1', m#'key2';
store e into ':OUTPATH:';\,

            'notmq' => 1,
			},
			{
			'num' => 7,
			'pig' => q\a = load ':INPATH:/singlefile/allscalar10k' using PigStorage() as (name, age, gpa, instate);
b = foreach a generate (boolean)instate;
c = filter b by instate == true;
store c into ':OUTPATH:';\,
			'verify_pig_script' => q\a = load ':INPATH:/singlefile/allscalar10k' using PigStorage() as (name:chararray, age:int, gpa:double, instate:chararray);
b = foreach a generate instate;
c = filter b by instate == 'true';
store c into ':OUTPATH:';\,
			}
		],
        },
        {
		'name' => 'ClassResolution',
		'tests' => [
			{
            # check that Loader specified without a package
            # name works if that package name is specified
            # in udf.import.list
			'num' => 1,
			'floatpostprocess' => 1,
			'delimiter' => '	',
	'java_params' => ['-Dudf.import.list=org.apache.pig.test.udf.storefunc'],
			'pig' => q\ 
register :FUNCPATH:/testudf.jar;
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:int, gpa: double);
b = foreach a generate CONCAT('(', name), CONCAT((chararray)age, ' )');
store b into ':OUTPATH:.intermediate' using PigStorage(',');
c = load ':OUTPATH:.intermediate' using DumpLoader();
store c into ':OUTPATH:';\,

            'notmq' => 1,
			},
		],
        },
        {
        'name' => 'StoreLoad',
        'tests' => [
            {
            'num' => 1,
            'floatpostprocess' => 1,
            'delimiter' => '    ',
            'pig' => q\
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:int, gpa: double);
b = filter a by age < 25;
c = filter a by age > 70;
store b into ':OUTPATH:.intermediate1' using PigStorage(',');
store c into ':OUTPATH:.intermediate2' using PigStorage(',');
d = load ':OUTPATH:.intermediate1' using PigStorage(',') as (name:chararray, age:int, gpa: double);
e = load ':OUTPATH:.intermediate2' using PigStorage(',') as (name:chararray, age:int, gpa: double);
f = join d by name, e by name;
store f into ':OUTPATH:';\,
            'notmq' => 1,
            },
            {
            # Self join
            'num' => 2,
            'floatpostprocess' => 1,
            'delimiter' => '    ',
            'pig' => q\
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:int, gpa: double);
b = filter a by name == 'nick miller';
store b into ':OUTPATH:.intermediate' using PigStorage(',');
c = load ':OUTPATH:.intermediate' using PigStorage(',') as (name:chararray, age:int, gpa: double);
d = join a by name, c by name;
store d into ':OUTPATH:';\,
            'notmq' => 1,
            },
        ],
        },

	{
		'name' => 'MergeJoin',
		'tests' => [
				# Simplest merge-join.
				{
				'num' => 1,
				'pig' => q\a = load ':INPATH:/singlefile/studenttab10k';
					b = load ':INPATH:/singlefile/votertab10k'; 
					c = order a by $0;
					d = order b by $0;
					store c into ':OUTPATH:.intermediate1';
					store d into ':OUTPATH:.intermediate2';
					exec;
					e = load ':OUTPATH:.intermediate1';
					f = load ':OUTPATH:.intermediate2';
					g = join e by $0, f by $0 using 'merge';
					store g into ':OUTPATH:';\,
                'verify_pig_script' => q\a = load ':INPATH:/singlefile/studenttab10k';
					b = load ':INPATH:/singlefile/votertab10k'; 
					g = join a by $0, b by $0;
					store g into ':OUTPATH:';\,
                'notmq' => 1,
				},
				# Merge-join with left-side filter
				{
				'num' => 2,
				'pig' => q\a = load ':INPATH:/singlefile/studenttab10k';
					b = load ':INPATH:/singlefile/votertab10k'; 
					c = order a by $0;
					d = order b by $0;
					store c into ':OUTPATH:.intermediate1';
					store d into ':OUTPATH:.intermediate2';
					exec;					
					e = load ':OUTPATH:.intermediate1';
					h = filter e by $1 > 30;					
					f = load ':OUTPATH:.intermediate2';
					g = join h by $0, f by $0 using 'merge';
					store g into ':OUTPATH:';\,
                'verify_pig_script' => q\a = load ':INPATH:/singlefile/studenttab10k';
					b = load ':INPATH:/singlefile/votertab10k'; 
					h = filter a by $1 > 30;					
					g = join h by $0, b by $0;
					store g into ':OUTPATH:';\,
                'notmq' => 1,

				},
				# Merge-join with right-side filter
				{
				'num' => 3,
				'pig' => q\a = load ':INPATH:/singlefile/studenttab10k';
					b = load ':INPATH:/singlefile/votertab10k'; 
					c = order a by $0;
					d = order b by $0;
					store c into ':OUTPATH:.intermediate1';
					store d into ':OUTPATH:.intermediate2';
					exec;					
					e = load ':OUTPATH:.intermediate1';
					f = load ':OUTPATH:.intermediate2';
					i = filter f by $2 != 'democrat';
					g = join e by $0, i by $0 using 'merge';
					store g into ':OUTPATH:';\,
                'verify_pig_script' => q\a = load ':INPATH:/singlefile/studenttab10k';
					b = load ':INPATH:/singlefile/votertab10k'; 
					i = filter b by $2 != 'democrat';
					g = join a by $0, i by $0;
					store g into ':OUTPATH:';\,

                'notmq' => 1,
				},
				# Merge-join with schemas
				{
				'num' => 4,
		        'floatpostprocess' => 1,
                'delimiter' => '	',
				'pig' => q\a = load ':INPATH:/singlefile/studenttab10k';
					b = load ':INPATH:/singlefile/votertab10k'; 
					c = order a by $0;
					d = order b by $0;
					store c into ':OUTPATH:.intermediate1';
					store d into ':OUTPATH:.intermediate2';
					exec;					
					e = load ':OUTPATH:.intermediate1'  as (name:chararray, age:int, gpa:float);
					f = load ':OUTPATH:.intermediate2'  as (name:chararray, age:int, reg:chararray, contrib:float);
					g = join e by $0, f by $0 using 'merge';
					store g into ':OUTPATH:';\,
                'verify_pig_script' => q\a = load ':INPATH:/singlefile/studenttab10k';
					b = load ':INPATH:/singlefile/votertab10k'; 
					g = join a by $0, b by $0;
					store g into ':OUTPATH:';\,

                'notmq' => 1,
				},
				# Merge-join with key as expression
				{
				'num' => 5,
				'pig' => q\a = load ':INPATH:/singlefile/studenttab10k';
					b = load ':INPATH:/singlefile/votertab10k'; 
					c = order a by $0,$1;
					d = order b by $0,$1;
					store c into ':OUTPATH:.intermediate1';
					store d into ':OUTPATH:.intermediate2';
					exec;
					e = load ':OUTPATH:.intermediate1';
					f = load ':OUTPATH:.intermediate2';
					g = join e by ($0,$1), f by ($0,$1) using 'merge';
					store g into ':OUTPATH:';\,
                'verify_pig_script' => q\a = load ':INPATH:/singlefile/studenttab10k';
					b = load ':INPATH:/singlefile/votertab10k'; 
					g = join a by ($0,$1), b by ($0,$1);
					store g into ':OUTPATH:';\,

                'notmq' => 1,
				},
				# Merge-join with key as expression This expression guarantees ordering 
				{
				'num' => 6,
				'pig' => q\a = load ':INPATH:/singlefile/studenttab10k';
					b = load ':INPATH:/singlefile/votertab10k'; 
					c = order a by $1;
					d = order b by $1;
					store c into ':OUTPATH:.intermediate1';
					store d into ':OUTPATH:.intermediate2';
					exec;
					e = load ':OUTPATH:.intermediate1';
					f = load ':OUTPATH:.intermediate2';
					g = join e by ($1+10), f by ($1+10) using 'merge';
					store g into ':OUTPATH:';\,
                'verify_pig_script' => q\a = load ':INPATH:/singlefile/studenttab10k';
					b = load ':INPATH:/singlefile/votertab10k'; 
					g = join a by ($1+10), b by ($1+10) ;
					store g into ':OUTPATH:';\,

                'notmq' => 1,
				},
				# Merge-join with nulls in keys and data.
				{
				'num' => 7,
				'pig' => q\a = load ':INPATH:/singlefile/studentnulltab10k';
					b = load ':INPATH:/singlefile/voternulltab10k'; 
					c = order a by $0;
					d = order b by $0;
					store c into ':OUTPATH:.intermediate1';
					store d into ':OUTPATH:.intermediate2';
					exec;
					e = load ':OUTPATH:.intermediate1';
					f = load ':OUTPATH:.intermediate2';
					g = join e by $0, f by $0 using 'merge';
					store g into ':OUTPATH:';\,
                'verify_pig_script' => q\a = load ':INPATH:/singlefile/studentnulltab10k';
					b = load ':INPATH:/singlefile/voternulltab10k'; 
					g = join a by $0, b by $0;
					store g into ':OUTPATH:';\,

                'notmq' => 1,
				},
				# Merge-join with one file across multiple blocks
        	    {
                'num' => 8,
			    'execonly' => 'mapred,tez,spark', # since this join will run out of memory in local mode
		        'floatpostprocess' => 1,
		        'delimiter' => '	',
                'pig' => q\a = load ':INPATH:/singlefile/votertab10k';
                    b = load ':INPATH:/singlefile/studenttab20m';
                    h = filter b by $2 < 1.5;
                    c = order a by $0;
                    d = order h by $0 parallel 1;
                    store c into ':OUTPATH:.intermediate1';
                    store d into ':OUTPATH:.intermediate2';
                    exec;
                    e = load ':OUTPATH:.intermediate1' as (name:chararray, age:int, reg:chararray, contrib:float);
                    f = load ':OUTPATH:.intermediate2'as (name:chararray, age:int, gpa:float);
                    g = join e by $0, f by $0 using 'merge';
                    i = filter g by $2 == 'democrat' and $1 > 76;
                    store i into ':OUTPATH:';\,
                'verify_pig_script' => q\a = load ':INPATH:/singlefile/votertab10k';
                    b = load ':INPATH:/singlefile/studenttab20m';
                    h = filter b by $2 < 1.5;
                    g = join a by $0, h by $0;
                    i = filter g by $2 == 'democrat' and $1 > 76;
                    store i into ':OUTPATH:';\,

                'notmq' => 1,
                }, 
				# Merge-join with join on numeric key
				{
				'num' => 9,
				'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name:chararray, age:int, gpa:float);
					b = load ':INPATH:/singlefile/votertab10k'as (name:chararray, age:int, reg:chararray, contrib:float);
					c = order a by age;
					d = order b by age;
					store c into ':OUTPATH:.intermediate1';
					store d into ':OUTPATH:.intermediate2';
					exec;					
					e = load ':OUTPATH:.intermediate1'  as (name:chararray, age:int, gpa:float);
					f = load ':OUTPATH:.intermediate2'  as (name:chararray, age:int, reg:chararray, contrib:float);
					g = join e by age, f by age using 'merge';
					store g into ':OUTPATH:';\,
                'verify_pig_script' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name:chararray, age:int, gpa:float);
					b = load ':INPATH:/singlefile/votertab10k'as (name:chararray, age:int, reg:chararray, contrib:float);
					g = join a by age, b by age;
					store g into ':OUTPATH:';\,

                'notmq' => 1,
				},

			]
		},
                {
                'name' => 'SkewedJoin',
		'floatpostprocess' => 1,
		'delimiter' => '	',
                'tests' => [
                        {
                        'num' => 1,
                        'java_params' => ['-Dpig.skewedjoin.reduce.maxtuple=100'],
                        'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
e = join a by name, b by name using 'skewed' parallel 8;
store e into ':OUTPATH:';\,
                        'verify_pig_script' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
e = join a by name, b by name;
store e into ':OUTPATH:';\,

                        },

                # basic join with no skewed keys
                       {
                        'num' => 2,
                        'java_params' => ['-Dpig.skewedjoin.reduce.maxtuple=10000'],
                        'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age,
gpa);
b = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
e = join a by name, b by name using 'skewed';
store e into ':OUTPATH:';\,
                        'verify_pig_script' =>q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age,
gpa);
b = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
e = join a by name, b by name ;
store e into ':OUTPATH:';\,

                        },

                # join after filtering
                        {
                        'num' => 3,
                        'java_params' => ['-Dpig.skewedjoin.reduce.maxtuple=3'],
                        'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age,
gpa);
b = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
c = filter a by age < 20;
d = filter b by age < 20;
e = join c by $0, d by $0 using 'skewed' parallel 8;
store e into ':OUTPATH:';\,
                        'verify_pig_script' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age,
gpa);
b = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
c = filter a by age < 20;
d = filter b by age < 20;
e = join c by $0, d by $0 ;
store e into ':OUTPATH:';\,
                        },

                # join by two columns
                        {
                        'num' => 4,
                        'java_params' => ['-Dpig.skewedjoin.reduce.maxtuple=3'],
                        'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
c = filter a by age < 20;
d = filter b by age < 20;
e = join c by (name, age), d by (name, age) using 'skewed' parallel 8;
store e into ':OUTPATH:';\,
                        'verify_pig_script' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
c = filter a by age < 20;
d = filter b by age < 20;
e = join c by (name, age), d by (name, age) ;
store e into ':OUTPATH:';\,

                        },

                # join with add
                       {
                        'num' => 5,
                        'java_params' => ['-Dpig.skewedjoin.reduce.maxtuple=50'],
                        'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name:chararray,age:int, gpa:double);
b = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
c = filter a by age < 20;
d = filter b by age < 20;
e = join c by age+10, d by age + 20 using 'skewed' parallel 10;
store e into ':OUTPATH:';\,
                        'verify_pig_script' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name:chararray,age:int, gpa:double);
b = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
c = filter a by age < 20;
d = filter b by age < 20;
e = join c by age+10, d by age + 20 ;
store e into ':OUTPATH:';\,

                        },

                # join with split
                       {
                        'num' => 6,
                        'java_params' => ['-Dpig.skewedjoin.reduce.maxtuple=100'],
                        'pig' => q\a = load ':INPATH:/singlefile/studenttab10k';
b = filter a by $1 > 25;
c = join a by $0, b by $0 using 'skewed' parallel 7;
store c into ':OUTPATH:';\,
                        'verify_pig_script' => q\a = load ':INPATH:/singlefile/studenttab10k';
b = filter a by $1 > 25;
c = join a by $0, b by $0 ;
store c into ':OUTPATH:';\,

                        },

		# join with UDF
                       {
                        'num' => 7,
                        'java_params' => ['-Dpig.skewedjoin.reduce.maxtuple=20'],
                        'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
c = filter a by age < 20;
d = filter b by age < 20;
e = join c by SIZE(name), d by SIZE(name) using 'skewed' parallel 7;
store e into ':OUTPATH:';\,
                        'verify_pig_script' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
c = filter a by age < 20;
d = filter b by age < 20;
e = join c by SIZE(name), d by SIZE(name) ;
store e into ':OUTPATH:';\,

                        },
		# left outer join
                        {
                        'num' => 8,
                        'java_params' => ['-Dpig.skewedjoin.reduce.maxtuple=100'],
                        'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
e = join a by name left outer, b by name using 'skewed' parallel 8;
store e into ':OUTPATH:';\,
                        'verify_pig_script' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
e = join a by name left outer, b by name ;
store e into ':OUTPATH:';\,

                        },
		# right outer join
                        {
                        'num' => 9,
                        'java_params' => ['-Dpig.skewedjoin.reduce.maxtuple=100'],
                        'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
e = join a by name right outer, b by name using 'skewed' parallel 8;
store e into ':OUTPATH:';\,
                        'verify_pig_script' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
e = join a by name right outer, b by name ;
store e into ':OUTPATH:';\,

                        },
		# full outer join
                        {
                        'num' => 10,
                        'java_params' => ['-Dpig.skewedjoin.reduce.maxtuple=100'],
                        'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
e = join a by name full outer, b by name using 'skewed' parallel 8;
store e into ':OUTPATH:';\,
                        'verify_pig_script' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
e = join a by name full outer, b by name ;
store e into ':OUTPATH:';\,

                        },
                # right outer join with fixed memory
                        {
                        'num' => 11,
                        'java_params' => ['-Dpig.skewedjoin.reduce.maxtuple=100 -Dpig.skewedjoin.reduce.mem=516947966'],
                        'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
e = join a by name right outer, b by name using 'skewed' parallel 8;
store e into ':OUTPATH:';\,
                        'verify_pig_script' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
e = join a by name right outer, b by name ;
store e into ':OUTPATH:';\,

                        },
                # full outer join with empty left relation
                        {
                        'num' => 12,
                        'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = filter a by name=='abc';
e = join b by name right outer, a by name using 'skewed' parallel 8;
store e into ':OUTPATH:';\,
                        'verify_pig_script' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = foreach a generate (null, null, null, name, age, gpa);
c = foreach b generate flatten($0);
store c into ':OUTPATH:';\,

                        },
                        # left outer join with fixed memory
                        {
                        'num' => 13,
                        'java_params' => ['-Dpig.skewedjoin.reduce.maxtuple=100 -Dpig.skewedjoin.reduce.mem=516947966'],
                        'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
b = filter b by name < 'b';
e = join a by name left outer, b by name using 'skewed' parallel 8;
store e into ':OUTPATH:';\,
                        'verify_pig_script' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
b = filter b by name < 'b';
e = join a by name left outer, b by name ;
store e into ':OUTPATH:';\,
                        },
                        # full outer join with fixed memory
                        {
                        'num' => 14,
                        'java_params' => ['-Dpig.skewedjoin.reduce.maxtuple=100 -Dpig.skewedjoin.reduce.mem=516947966'],
                        'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
b = filter b by name > 'm';
e = join a by name full outer, b by name using 'skewed' parallel 8;
store e into ':OUTPATH:';\,
                        'verify_pig_script' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
b = filter b by name > 'm';
e = join a by name full outer, b by name ;
store e into ':OUTPATH:';\,

                        },
                        # skew join with tuple key
                        {
                            'num' => 15,
                            'java_params' => ['-Dpig.skewedjoin.reduce.maxtuple=100'],
                            'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
c = group a by (name, age);
d = group b by (name, age);
e = join c by $0, d by $0 using 'skewed' parallel 5;
f = foreach e generate c::group, flatten(c::a), d::group, flatten(d::b);
store f into ':OUTPATH:';\,
                            'verify_pig_script' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
c = group a by (name, age);
d = group b by (name, age);
e = join c by $0, d by $0;
f = foreach e generate c::group, flatten(c::a), d::group, flatten(d::b);
store f into ':OUTPATH:';\
                        }
                ]

            },

            {
            'name' => 'CollectedGroup',
            'tests' => [
                    # Simplest collected group.
                    {
                    'num' => 1,
                    'pig' => q\a = load ':INPATH:/singlefile/studenttab10k'; 
                            b = order a by $0;
                            store b into ':OUTPATH:.intermediate';
                            exec;
                       	    register :FUNCPATH:/testudf.jar;	     
			    c = load ':OUTPATH:.intermediate' using org.apache.pig.test.udf.storefunc.SimpleCollectableLoader();
                            d = group c by $0 using 'collected';
                            e = foreach d generate group, COUNT(c);
                            store e into ':OUTPATH:';\,
                    'notmq' => 1,
                    'verify_pig_script' => q\a = load ':INPATH:/singlefile/studenttab10k'; 
                            d = group a by $0 ;
                            e = foreach d generate group, COUNT(a);
                            store e into ':OUTPATH:';\,

                    },
                    # Collected group with filter
                    {
                    'num' => 2,
                    'pig' => q\a = load ':INPATH:/singlefile/studenttab10k'; 
                            b = order a by $0;
                            store b into ':OUTPATH:.intermediate';
                            exec;
                       	    register :FUNCPATH:/testudf.jar;	     
			    c = load ':OUTPATH:.intermediate' using org.apache.pig.test.udf.storefunc.SimpleCollectableLoader();
                            d = filter c by $1 > 30;
                            e = group d by $0 using 'collected';
                            f = foreach e generate group, COUNT(d);
                            store f into ':OUTPATH:';\,
                    'notmq' => 1,
                    'verify_pig_script' => q\a = load ':INPATH:/singlefile/studenttab10k'; 
                            d = filter a by $1 > 30;
                            e = group d by $0 ;
                            f = foreach e generate group, COUNT(d);
                            store f into ':OUTPATH:';\,

                    },
                    # Collected group with schemas
                    {
                    'num' => 3,
                    'pig' => q\a = load ':INPATH:/singlefile/studenttab10k'; 
                            b = order a by $0;
                            store b into ':OUTPATH:.intermediate';
                            exec;
                       	    register :FUNCPATH:/testudf.jar;	     
			    c = load ':OUTPATH:.intermediate' using org.apache.pig.test.udf.storefunc.SimpleCollectableLoader() as (name:chararray, age:int, gpa:float);
                            d = group c by $0 using 'collected';
                            e = foreach d generate group, MAX(c.age);
                            store e into ':OUTPATH:';\,
                    'notmq' => 1,
                    'verify_pig_script' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name:chararray, age:int, gpa:float); 
                            d = group a by $0 ;
                            e = foreach d generate group, MAX(a.$1);
                            store e into ':OUTPATH:';\,

                    },
                    # Collected group with multiple columns
                    {
                    'num' => 4,
                    'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
                            b = order a by name, age;
                            store b into ':OUTPATH:.intermediate';
                            exec;
                       	    register :FUNCPATH:/testudf.jar;	     
			    c = load ':OUTPATH:.intermediate' using org.apache.pig.test.udf.storefunc.SimpleCollectableLoader() as (name:chararray, age:int, gpa:float);
                            d = group c by (name, age) using 'collected';
                            e = foreach d generate group.name, group.age, MIN(c.gpa);
                            store e into ':OUTPATH:';\,
                    'notmq' => 1,
                    'verify_pig_script' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
                            d = group a by (name, age) ;
                            e = foreach d generate group.name, group.age, MIN(a.gpa);
                            store e into ':OUTPATH:';\,

                    },
                    # Collected group with nulls in keys and data.
                    {
                    'num' => 5,
                    'pig' => q\a = load ':INPATH:/singlefile/studentnulltab10k'; 
                            b = order a by $0;
                            store b into ':OUTPATH:.intermediate';
                            exec;
                       	    register :FUNCPATH:/testudf.jar;	     
			    c = load ':OUTPATH:.intermediate' using org.apache.pig.test.udf.storefunc.SimpleCollectableLoader() as (name:chararray, age:int, gpa:float);
                            d = group c by $0 using 'collected';
                            e = foreach d generate group, SUM(c.$1);
                            store e into ':OUTPATH:';\,
                    'notmq' => 1,
                    'verify_pig_script' => q\a = load ':INPATH:/singlefile/studentnulltab10k' as (name:chararray, age:int, gpa:float); 
                            d = group a by $0 ;
                            e = foreach d generate group, SUM(a.$1);
                            store e into ':OUTPATH:';\,

                    },
                    # Collected group with numeric key
                    {
                    'num' => 6,
                    'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name:chararray, age:int, gpa:float);
                            b = order a by age;
                            store b into ':OUTPATH:.intermediate';
                            exec;
                       	    register :FUNCPATH:/testudf.jar;	     
			    c = load ':OUTPATH:.intermediate' using org.apache.pig.test.udf.storefunc.SimpleCollectableLoader() as (name:chararray, age:int, gpa:float);
                            d = group c by age using 'collected';
                            e = foreach d generate group, AVG(c.gpa), COUNT(c.name);
                            store e into ':OUTPATH:';\,
                    'notmq' => 1,
                    'verify_pig_script' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name:chararray, age:int, gpa:float);
                            d = group a by age ;
                            e = foreach d generate group, AVG(a.gpa), COUNT(a.name);
                            store e into ':OUTPATH:';\,

                    },
                ]
            },
            {
            'name' => 'SecondarySort',
            'tests' => [
                    {
                    # simple order by
                    'num' => 1,
                    'java_params' => ['-Dpig.accumulative.batchsize=5'],
                    'pig' => q\register :FUNCPATH:/testudf.jar;
                            a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
                            b = group a by age parallel 10;
                            c = foreach b {
                                d = order a by name;
                                generate group, org.apache.pig.test.udf.evalfunc.AllFirstLetter(d);
                            };
                            store c into ':OUTPATH:';\,
                    },
                    {
                    # order by desc
                    'num' => 2,
                    'java_params' => ['-Dpig.accumulative.batchsize=5'],
                    'pig' => q\register :FUNCPATH:/testudf.jar;
                            a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
                            b = group a by age parallel 10;
                            c = foreach b {
                                d = order a by name desc;
                                generate group, org.apache.pig.test.udf.evalfunc.AllFirstLetter(d);
                            };
                            store c into ':OUTPATH:';\,
                    },
                    {
                    # order by float type
                    'num' => 3,
                    'java_params' => ['-Dpig.accumulative.batchsize=5'],
                    'pig' => q\register :FUNCPATH:/testudf.jar;
                            a = load ':INPATH:/singlefile/studenttab10k' as (name:chararray, age:int, gpa:float);
                            b = group a by age parallel 10;
                            c = foreach b {
                                d = order a by gpa;
                                generate group, org.apache.pig.test.udf.evalfunc.AllFirstLetter(d.gpa);
                            };
                            store c into ':OUTPATH:';\,
                    },
                    # order by string type
                    {
                    'num' => 4,
                    'java_params' => ['-Dpig.accumulative.batchsize=5'],
                    'pig' => q\register :FUNCPATH:/testudf.jar;
                            a = load ':INPATH:/singlefile/studenttab10k' as (name:chararray, age:int, gpa:float);
                            b = group a by age parallel 10;
                            c = foreach b {
                                d = order a by name;
                                generate group, org.apache.pig.test.udf.evalfunc.AllFirstLetter(d.name);
                            };
                            store c into ':OUTPATH:';\,
                    },
                    # simple distinct
                    {
                    'num' => 5,
                    'java_params' => ['-Dpig.exec.nocombiner=true', '-Dpig.accumulative.batchsize=5'],
                    'pig' => q\register :FUNCPATH:/testudf.jar;
                            a = load ':INPATH:/singlefile/studenttab10k' as (name:chararray, age:int, gpa:float);
                            b = group a by age parallel 10;
                            c = foreach b {
                                d = a.name;
                                e = distinct d;
                                generate group, org.apache.pig.test.udf.evalfunc.AllFirstLetter(e);
                            };
                            store c into ':OUTPATH:';\,
                    },
                    # distinct on tuple
                    {
                    'num' => 6,
                    'java_params' => ['-Dpig.exec.nocombiner=true', '-Dpig.accumulative.batchsize=5'],
                    'pig' => q\register :FUNCPATH:/testudf.jar;
                            a = load ':INPATH:/singlefile/studenttab10k' as (name:chararray, age:int, gpa:float);
                            b = group a by age parallel 10;
                            c = foreach b {
                                d = distinct a;
                                generate group, org.apache.pig.test.udf.evalfunc.AllFirstLetter(d);
                            };
                            store c into ':OUTPATH:';\,
                    },
                    # sort by two columns
                    {
                    'num' => 7,
                    'java_params' => ['-Dpig.accumulative.batchsize=5'],
                    'pig' => q\register :FUNCPATH:/testudf.jar;
                            a = load ':INPATH:/singlefile/studenttab10k' as (name:chararray, age:int, gpa:float);
                            b = group a by age parallel 10;
                            c = foreach b {
                                d = order a by gpa, name desc;
                                generate group, org.apache.pig.test.udf.evalfunc.AllFirstLetter(d.gpa), org.apache.pig.test.udf.evalfunc.AllFirstLetter(d.name);
                            };
                            store c into ':OUTPATH:';\,
                    },
                    # sort, distinct mix
                    {
                    'num' => 8,
                    'java_params' => ['-Dpig.exec.nocombiner=true', '-Dpig.accumulative.batchsize=5'],
                    'pig' => q\register :FUNCPATH:/testudf.jar;
                            a = load ':INPATH:/singlefile/studenttab10k' as (name:chararray, age:int, gpa:float);
                            b = group a by age parallel 10;
                            c = foreach b {
                                d = order a by name;
                                e = d.gpa;
                                f = distinct e;
                                generate group, org.apache.pig.test.udf.evalfunc.AllFirstLetter(f); 
                            };
                            store c into ':OUTPATH:';\,
                    },
                    # sort, distinct mix
                    {
                    'num' => 9,
                    'java_params' => ['-Dpig.exec.nocombiner=true', '-Dpig.accumulative.batchsize=5'],
                    'pig' => q\register :FUNCPATH:/testudf.jar;
                            a = load ':INPATH:/singlefile/studenttab10k' as (name:chararray, age:int, gpa:float);
                            b = group a by age parallel 10;
                            c = foreach b {
                                d = order a by gpa;
                                e = d.gpa;
                                f = distinct e;
                                generate group, org.apache.pig.test.udf.evalfunc.AllFirstLetter(f); 
                            };
                            store c into ':OUTPATH:';\,
                    },
                    {
                    # secondary sort boolean
                    'num' => 10,
                    'pig' => q\a = load ':INPATH:/singlefile/allscalar10k' using PigStorage() as (name:chararray, age:int, gpa:double, instate:boolean);
                            b = group a by age;
                            c = foreach b {
                                d = order a by instate;
                                generate group, flatten(d);
                            };
                            store c into ':OUTPATH:';\,
                    'verify_pig_script' => q\a = load ':INPATH:/singlefile/allscalar10k' using PigStorage() as (name:chararray, age:int, gpa:double, instate:chararray);
                            b = group a by age;
                            c = foreach b {
                                d = order a by instate;
                                generate group, flatten(d);
                            };
                            store c into ':OUTPATH:';\,
                    }
                ]
            },
            {
            'name' => 'Accumulator',
            'tests' => [
                    {
                    'num' => 1,
                    'java_params' => ['-Dpig.exec.nocombiner=true', '-Dpig.accumulative.batchsize=5'],
                    'pig' => q\a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age:int, gpa);
b = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
e = cogroup a by name, b by name parallel 8;
f = foreach e generate group,  SUM(a.age) as s;
g = filter f by s>0;
store g into ':OUTPATH:';\,
                    },
                    {
                    'num' => 2,
                    'java_params' => ['-Dpig.exec.nocombiner=true', '-Dpig.accumulative.batchsize=5'],
                    'pig' => q\a = load ':INPATH:/singlefile/votertab10k' using PigStorage() as (name, age:int, registration, contributions);
e = group a by name  parallel 8;
f = foreach e generate group,  COUNT(a), MAX(a.contributions), MIN(a.contributions) ;
store f into ':OUTPATH:';\,
                    },
                    {
                    'num' => 3,
                    'java_params' => ['-Dpig.exec.nocombiner=true', '-Dpig.accumulative.batchsize=5'],
                    'pig' => q\a = load ':INPATH:/singlefile/votertab10k' using PigStorage() as (name, age:int, registration, contributions);
e = group a by name  parallel 8;
f = foreach e generate group,  (MAX(a.contributions)-MIN(a.contributions))*COUNT(a) ;
store f into ':OUTPATH:';\,
                    },
                    {
                    'num' => 4,
                    'java_params' => ['-Dpig.exec.nocombiner=true', '-Dpig.accumulative.batchsize=5'],
                    'pig' => q\a = load ':INPATH:/singlefile/votertab10k' using PigStorage() as (name, age:int, registration, contributions);
e = group a by name  parallel 8;
f = foreach e { g = distinct a.age; generate group,  COUNT(g);} 
store f into ':OUTPATH:';\,
                    },
                    {
                    'num' => 5,
                    'java_params' => ['-Dpig.exec.nocombiner=true', '-Dpig.accumulative.batchsize=1'],
                    'pig' => q\a = load ':INPATH:/singlefile/votertab10k' using PigStorage() as (name, age:int, registration, contributions);
register :FUNCPATH:/testudf.jar;
DEFINE YesAccumulate org.apache.pig.TestingAccumulatorHelper('false');
DEFINE NoAccumulate org.apache.pig.TestingAccumulatorHelper('true');
b = foreach (group a all) generate COUNT(a) as ct, YesAccumulate(a) as yes_acc, NoAccumulate(a) as no_acc;
store b into ':OUTPATH:';\,
                    'verify_pig_script' => q\a = load ':INPATH:/singlefile/votertab10k' using PigStorage() as (name, age:int, registration, contributions);
b = foreach (group a all) generate COUNT(a) as ct;
c = foreach b generate ct, ct as ct2, 0;
store c into ':OUTPATH:';\,
                    },
                    {
                    'num' => 6,
                    'java_params' => ['-Dpig.exec.nocombiner=true'],
                    'pig' => q\a = load ':INPATH:/singlefile/votertab10k' using PigStorage() as (name, age:int, registration, contributions);
register :FUNCPATH:/testudf.jar;
DEFINE YesAccumulate org.apache.pig.TestingAccumulatorHelper('false');
DEFINE NoAccumulate org.apache.pig.TestingAccumulatorHelper('true');
b = foreach (group a all) generate org.apache.pig.test.udf.evalfunc.NonAlgNonAccCount(a) as ct, YesAccumulate(a) as yes_acc, NoAccumulate(a) as no_acc;
store b into ':OUTPATH:';\,
                    'verify_pig_script' => q\a = load ':INPATH:/singlefile/votertab10k' using PigStorage() as (name, age:int, registration, contributions);
register :FUNCPATH:/testudf.jar;
b = foreach (group a all) generate org.apache.pig.test.udf.evalfunc.NonAlgNonAccCount(a) as ct;
c = foreach b generate ct, 1, 1;
store c into ':OUTPATH:';\,
                    },
                    {
                    'num' => 7,
                    'java_params' => ['-Dpig.exec.nocombiner=true', '-Dpig.accumulative.batchsize=5'],
                    'pig' => q\a = load ':INPATH:/singlefile/votertab10k' using PigStorage() as (name, age:long, registration, contributions);
register :FUNCPATH:/testudf.jar;
b = foreach (group a all) generate COUNT(a),
                                   org.apache.pig.test.udf.evalfunc.IteratingAccumulatorCount(a),
                                   org.apache.pig.test.udf.evalfunc.IteratingAccumulatorSum(a.age),
                                   org.apache.pig.test.udf.evalfunc.IteratingAccumulatorIsEmpty(a);
store b into ':OUTPATH:';\,
                    'verify_pig_script' => q\a = load ':INPATH:/singlefile/votertab10k' using PigStorage() as (name, age:long, registration, contributions);
b = foreach (group a all) generate COUNT(a), SUM(a.age), IsEmpty(a);
c = foreach b generate $0, *;
store c into ':OUTPATH:';\,
                    },
                    {
                    'num' => 8,
                    'java_params' => ['-Dpig.exec.nocombiner=true', '-Dpig.accumulative.batchsize=5'],
                    'pig' => q\a = load ':INPATH:/singlefile/votertab10k' using PigStorage() as (name, age:long, registration, contributions);
register :FUNCPATH:/testudf.jar;
b = foreach (group a all) generate org.apache.pig.test.udf.evalfunc.NonAlgNonAccCount(a),
                                   org.apache.pig.test.udf.evalfunc.IteratingAccumulatorCount(a),
                                   org.apache.pig.test.udf.evalfunc.IteratingAccumulatorSum(a.age),
                                   org.apache.pig.test.udf.evalfunc.IteratingAccumulatorIsEmpty(a);
store b into ':OUTPATH:';\,
                    'verify_pig_script' => q\a = load ':INPATH:/singlefile/votertab10k' using PigStorage() as (name, age:long, registration, contributions);
register :FUNCPATH:/testudf.jar;
b = foreach (group a all) generate org.apache.pig.test.udf.evalfunc.NonAlgNonAccCount(a), COUNT(a), SUM(a.age), IsEmpty(a);
store b into ':OUTPATH:';\,
                    },
                ]
            },
            {
            'name' => 'PruneColumns',
            'tests' => [
                    {
                    'num' => 1,
                    'execonly' => 'mapred,tez,spark', # studenttab20m not available in local mode
                    'pig' => q\
a = load ':INPATH:/singlefile/studenttab20m' using PigStorage() as (name, age, gpa);
b = foreach a generate age;
store b into ':OUTPATH:';\,
                    }
                ]
            },
            {
            'name' => 'Bzip',
            'tests' => [
                    {
                    # test reading and writing out files with .bz2 extension
                    # relying on Hadoop's bzipcodec (for 0.23/2.X and after)
                    'num' => 1,
                    'java_params' => ['-Dpig.bzip.use.hadoop.inputformat=true'],
                    'pig' => q\
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
store a into ':OUTPATH:.intermediate.bz2';
b = load ':OUTPATH:.intermediate.bz2';
store b into ':OUTPATH:';\,
                    'notmq' => 1,
                    },
                    {
                    # test reading and writing with .bz extension
                    # relying on Hadoop's bzipcodec (for 0.23/2.X and after)
                    'num' => 2,
                    'java_params' => ['-Dpig.bzip.use.hadoop.inputformat=true'],
                    'pig' => q\
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
store a into ':OUTPATH:.intermediate.bz';
b = load ':OUTPATH:.intermediate.bz';
store b into ':OUTPATH:';\,
                    'notmq' => 1,
                    },
                    {
                    # test reading and writing out files with .bz2 extension
                    # using Bzip2TextInputFormat.
                    'num' => 3,
                    'java_params' => ['-Dpig.bzip.use.hadoop.inputformat=false'],
                    'pig' => q\
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
store a into ':OUTPATH:.intermediate.bz2';
b = load ':OUTPATH:.intermediate.bz2';
store b into ':OUTPATH:';\,
                    'notmq' => 1,
                    },
                    {
                    # test reading and writing with .bz extension
                    # using Bzip2TextInputFormat.
                    'num' => 4,
                    'java_params' => ['-Dpig.bzip.use.hadoop.inputformat=false'],
                    'pig' => q\
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
store a into ':OUTPATH:.intermediate.bz';
b = load ':OUTPATH:.intermediate.bz';
store b into ':OUTPATH:';\,
                    'notmq' => 1,
                    },
                ]
            },
            {
            'name' => 'Scalar',
            'tests' => [
                    {
                    # test scalar in foreach (most common)
                    'num' => 1,
                    'pig' => q\
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = group a all;
c = foreach b generate AVG(a.gpa) as avg, MAX(a.gpa) as max;
y = foreach a generate name, (gpa - c.avg) / c.max;
store y into ':OUTPATH:';\,
                    'floatpostprocess' => 1,
                    'delimiter' => '	',
                    },
                    {
                    # test scalar in filter
                    'num' => 2,
                    'pig' => q\
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = group a all;
c = foreach b generate AVG(a.gpa) as avg;
y = filter a by gpa > c.avg;
store y into ':OUTPATH:';\,
                    },
                    {
                    # test scalar with two branch
                    'num' => 3,
                    'pig' => q\
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = group a all;
c = foreach b generate AVG(a.age) as avg;
x = load ':INPATH:/singlefile/votertab10k' using PigStorage() as (name, age, registration, contributions);
y = filter x by age > c.avg;
store y into ':OUTPATH:';\,
                    },
                    {
                    # test with scalar from two inputs
                    'num' => 4,
                    'pig' => q\
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = group a all;
c = foreach b generate AVG(a.age) as avg;
d = load ':INPATH:/singlefile/votertab10k' using PigStorage() as (name, age, registration, contributions);
e = group d all;
f = foreach e generate AVG(d.age) as avg;
y = foreach a generate age/c.avg, age/f.avg;
store y into ':OUTPATH:';\,
                    },
                    {
                    # test scalar with split
                    'num' => 5,
                    'pig' => q\
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = group a all;
c = foreach b generate AVG(a.age) as avg, COUNT(a.age) as cnt;
d = foreach c generate avg;
e = group d by $0;
f = foreach e generate group, c.avg, c.cnt;
store f into ':OUTPATH:';\,
                    },
                ]
            },
            {
            'name' => 'Scripting',
            'tests' => [
                    {
                    # test integer square
                    'num' => 1,
                    'pig' => q\
register ':SCRIPTHOMEPATH:/python/scriptingudf.py' using jython as myfuncs;
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age:int, gpa:double);
b = foreach a generate myfuncs.square(age);
store b into ':OUTPATH:';\,
                    'verify_pig_script' => q\
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age:int, gpa:double);
b = foreach a generate age * age;
store b into ':OUTPATH:';\,
                    },
                    {
                    # test string concat and referencing function without a namespace
                    'num' => 2,
                    'pig' => q\
register ':SCRIPTHOMEPATH:/python/scriptingudf.py' using jython;
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age, gpa);
b = foreach a generate concat(name) as name;
store b into ':OUTPATH:';\,
		    'verify_pig_script' => q\
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:int, gpa:double);
b = foreach a generate CONCAT(name, name);
store b into ':OUTPATH:';\,
                    },
                    {
                    # test long and double square, plus two references to the same UDF with different schemas
                    'num' => 3,
                    'pig' => q\
register ':SCRIPTHOMEPATH:/python/scriptingudf.py' using jython as myfuncs;
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age:long, gpa:double);
b = foreach a generate myfuncs.square(age), myfuncs.square(gpa);
store b into ':OUTPATH:';\,
		    'verify_pig_script' => q\
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age:int, gpa:double);
b = foreach a generate age * age, gpa * gpa;
store b into ':OUTPATH:';\,
	        'floatpostprocess' => 1,
	        'delimiter' => '	',
                    },
                    {
                    # test method with no schema decorator (ie, returns bytearray)
                    'num' => 4,
                    'pig' => q\
register ':SCRIPTHOMEPATH:/python/scriptingudf.py' using jython as myfuncs;
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age, gpa);
b = foreach a generate myfuncs.byteconcat(name);
store b into ':OUTPATH:';\,
		    'verify_pig_script' => q\
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = foreach a generate CONCAT(name, name);
store b into ':OUTPATH:';\,
                    },
                    {
                    # test method with no schema decorator (ie, returns bytearray)
                    'num' => 5,
                    'pig' => q\
register ':SCRIPTHOMEPATH:/python/scriptingudf.py' using jython as myfuncs;
a = load ':INPATH:/singlefile/studentcomplextab10k' using PigStorage() as (m:[], t:(name:chararray, age:int, gpa:double), b:{t:(name:chararray, age:int, gpa:double)});
b = foreach a generate flatten(myfuncs.complexTypes(m, t, b)) as (mm, mt, mb);
c = foreach b generate mm#'name', mt.$0, mb.$0;
store c into ':OUTPATH:';\,
		    'verify_pig_script' => q\
a = load ':INPATH:/singlefile/studentcomplextab10k' using PigStorage() as (m:[], t:(name:chararray, age:int, gpa:double), b:{t:(name:chararray, age:int, gpa:double)});
b = foreach a generate SIZE(m#'name'), t.$2, b.$2;
store b into ':OUTPATH:';\,
                    },
                    {
                    # test null input and output
                    'num' => 6,
                    'pig' => q\
register ':SCRIPTHOMEPATH:/python/scriptingudf.py' using jython as myfuncs;
a = load ':INPATH:/singlefile/studentnulltab10k' using PigStorage() as (name, age:int, gpa:double);
b = foreach a generate myfuncs.square(age);
store b into ':OUTPATH:';\,
		    'verify_pig_script' => q\
a = load ':INPATH:/singlefile/studentnulltab10k' using PigStorage() as (name, age:int, gpa:double);
b = foreach a generate age * age;
store b into ':OUTPATH:';\,
                    },
                    {
                    # test functions that call other functions and include other files
                    'num' => 7,
                    'pig' => q\
register ':SCRIPTHOMEPATH:/python/scriptingudf.py' using jython as myfuncs;
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age:int, gpa:double);
b = foreach a generate myfuncs.redirect(age);
store b into ':OUTPATH:';\,
		    'verify_pig_script' => q\
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age:int, gpa:double);
b = foreach a generate age * age;
store b into ':OUTPATH:';\,
                    },
                    {
                    # test that functions with same names resolve correctly across name spaces
                    'num' => 8,
                    'pig' => q\
register ':SCRIPTHOMEPATH:/python/scriptingudf.py' using jython as myfuncs;
register ':SCRIPTHOMEPATH:/python/morepythonudfs.py' using jython as morefuncs;
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age:int, gpa:double);
b = foreach a generate myfuncs.square(age), morefuncs.square(age);
store b into ':OUTPATH:';\,
		    'verify_pig_script' => q\
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age:int, gpa:double);
b = foreach a generate age * age, age * age * age;
store b into ':OUTPATH:';\,
                    },
                    {
                    # test that functions with same names resolve correctly across name spaces
                    'num' => 9,
                    'pig' => q\
register ':SCRIPTHOMEPATH:/python/scriptingudf.py' using jython as myfuncs;
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age:int, gpa:double);
b = group a by name;
c = foreach b generate group, myfuncs.count(a);
store c into ':OUTPATH:';\,
		    'verify_pig_script' => q\
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age:int, gpa:double);
b = group a by name;
c = foreach b generate group, COUNT(a);
store c into ':OUTPATH:';\,
                    },
                    {
                    # test that functions with same names resolve correctly across name spaces
                    'num' => 10,
                    'pig' => q\
register ':SCRIPTHOMEPATH:/python/scriptingudf.py' using jython as myfuncs;
a = load ':INPATH:/singlefile/allscalar10k' as (name:chararray, age:int, gpa:double, instate:boolean);
b = foreach a generate name, myfuncs.adjustgpa(gpa, instate);
store b into ':OUTPATH:';\,
		    'verify_pig_script' => q\
a = load ':INPATH:/singlefile/allscalar10k' using PigStorage() as (name:chararray, age:int, gpa:double, instate:chararray);
b = foreach a generate name, (instate=='true'?gpa:gpa+1);
store b into ':OUTPATH:';\,
                    },
                    {
                    # test that functions with same names resolve correctly across name spaces
                    'num' => 11,
                    'pig' => q\
register ':SCRIPTHOMEPATH:/python/scriptingudf.py' using jython as myfuncs;
a = load ':INPATH:/singlefile/studenttab10k' as (name:chararray, age:int, gpa:double);
b = foreach a generate name, myfuncs.isretired(age);
store b into ':OUTPATH:';\,
                    'verify_pig_script' => q\
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:int, gpa:double);
b = foreach a generate name, (age>=60?'true':'false');
store b into ':OUTPATH:';\,
                    },
                    {
                    # jython udf which returns an array
                    'num' => 12,
                    'pig' => q\
register ':SCRIPTHOMEPATH:/python/scriptingudf.py' using jython as myfuncs;
a = load ':INPATH:/singlefile/studenttab10k' as (name:chararray, age:chararray, gpa:chararray);
b = foreach a generate CONCAT(CONCAT(age, ' '), gpa) as sentence;
c = foreach b generate flatten(myfuncs.tokenize(sentence));
store c into ':OUTPATH:';\,
                    'verify_pig_script' => q\
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:chararray, gpa:chararray);
b = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:chararray, gpa:chararray);
c = foreach a generate age;
d = foreach b generate gpa;
e = union c, d;
store e into ':OUTPATH:';\,
                    }
                ]
            },
            {
            'name' => 'RubyUDFs',
            'tests' => [
                    {
                    # test integer square
                    'num' => 1,
                    'pig' => q\
register ':SCRIPTHOMEPATH:/ruby/scriptingudfs.rb' using jruby as myfuncs;
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age:int, gpa:double);
b = foreach a generate myfuncs.square(age);
store b into ':OUTPATH:';\,
				    'verify_pig_script' => q\
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age:int, gpa:double);
b = foreach a generate age * age;
store b into ':OUTPATH:';\,
                    },
                    {
                    # test string concat and referencing function without a namespace
                    'num' => 2,
                    'pig' => q\
register ':SCRIPTHOMEPATH:/ruby/scriptingudfs.rb' using jruby as myfuncs;
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age, gpa);
b = foreach a generate myfuncs.concat(name, name);
store b into ':OUTPATH:';\,
				    'verify_pig_script' => q\
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:int, gpa:double);
b = foreach a generate CONCAT(name, name);
store b into ':OUTPATH:';\,
                    },
                    {
                    # test long and double square, plus two references to the same UDF with different schemas
                    'num' => 3,
                    'pig' => q\
register ':SCRIPTHOMEPATH:/ruby/scriptingudfs.rb' using jruby as myfuncs;
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age:long, gpa:double);
b = foreach a generate myfuncs.square(age), myfuncs.square(gpa);
store b into ':OUTPATH:';\,
				    'verify_pig_script' => q\
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age:int, gpa:double);
b = foreach a generate age * age, gpa * gpa;
store b into ':OUTPATH:';\,
			        'floatpostprocess' => 1,
			        'delimiter' => '	',
                    },
                    {
                    # test method with no schema decorator (ie, returns bytearray)
                    'num' => 4,
                    'pig' => q\
register ':SCRIPTHOMEPATH:/ruby/scriptingudfs.rb' using jruby as myfuncs;
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = foreach a generate myfuncs.byteconcat(name, name);
store b into ':OUTPATH:';\,
				    'verify_pig_script' => q\
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = foreach a generate CONCAT(name, name);
store b into ':OUTPATH:';\,
                    },
                    {
                    # test method with complex types
                    'num' => 5,
                    'pig' => q\
register ':SCRIPTHOMEPATH:/ruby/scriptingudfs.rb' using jruby as myfuncs;
a = load ':INPATH:/singlefile/studentcomplextab10k' using PigStorage() as (m:[], t:(name:chararray, age:int, gpa:double), b:{t:(name:chararray, age:int, gpa:double)});
b = foreach a generate flatten(myfuncs.complexTypes(m, t, b)) as (mm, mt, mb);
c = foreach b generate mm#'name', mt.$0, mb.$0;
store c into ':OUTPATH:';\,
				    'verify_pig_script' => q\
a = load ':INPATH:/singlefile/studentcomplextab10k' using PigStorage() as (m:[], t:(name:chararray, age:int, gpa:double), b:{t:(name:chararray, age:int, gpa:double)});
b = foreach a generate SIZE(m#'name'), t.$2, b.$2;
store b into ':OUTPATH:';\,
                    },
                    {
                    # test null input and output
                    'num' => 6,
                    'pig' => q\
register ':SCRIPTHOMEPATH:/ruby/scriptingudfs.rb' using jruby as myfuncs;
a = load ':INPATH:/singlefile/studentnulltab10k' using PigStorage() as (name, age:int, gpa:double);
b = foreach a generate myfuncs.square(age);
store b into ':OUTPATH:';\,
				    'verify_pig_script' => q\
a = load ':INPATH:/singlefile/studentnulltab10k' using PigStorage() as (name, age:int, gpa:double);
b = foreach a generate age * age;
store b into ':OUTPATH:';\,
                    },
                    {
                    # test functions that call other functions and include other files
                    'num' => 7,
                    'pig' => q\
register ':SCRIPTHOMEPATH:/ruby/scriptingudfs.rb' using jruby as myfuncs;
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age:int, gpa:double);
b = foreach a generate myfuncs.redirect(age);
store b into ':OUTPATH:';\,
				    'verify_pig_script' => q\
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age:int, gpa:double);
b = foreach a generate age * age;
store b into ':OUTPATH:';\,
                    },
                    {
                    # test that functions with same names resolve correctly across name spaces
                    'num' => 8,
                    'pig' => q\
register ':SCRIPTHOMEPATH:/ruby/scriptingudfs.rb' using jruby as myfuncs;
register ':SCRIPTHOMEPATH:/ruby/morerubyudfs.rb' using jruby as morefuncs;
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age:int, gpa:double);
b = foreach a generate myfuncs.square(age), morefuncs.cube(age), morefuncs.CUBE(age);
store b into ':OUTPATH:';\,
				    'verify_pig_script' => q\
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age:int, gpa:double);
b = foreach a generate age * age, age * age * age, age * age * age;
store b into ':OUTPATH:';\,
                    },
                    {
                    # test algebraic functions
                    'num' => 9,
                    'pig' => q\
register ':SCRIPTHOMEPATH:/ruby/scriptingudfs.rb' using jruby as myfuncs;
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age:int, gpa:double);
b = group a by name;
c = foreach b generate group, myfuncs.Count(a);
store c into ':OUTPATH:';\,
				    'verify_pig_script' => q\
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age:int, gpa:double);
b = group a by name;
c = foreach b generate group, COUNT(a);
store c into ':OUTPATH:';\,
                    },
                    {
                    # test accumulator functions
                    'num' => 10,
                    'java_params' => ['-Dpig.accumulative.batchsize=5'],
                    'pig' => q\
register ':SCRIPTHOMEPATH:/ruby/scriptingudfs.rb' using jruby as myfuncs;
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age:int, gpa:double);
b = group a by name;
c = foreach b generate group, myfuncs.Sum(a.age), myfuncs.Sum(a.gpa);
d = foreach c generate $0, $1, (double)(ROUND($2*100))/100;
store d into ':OUTPATH:';\,
				    'verify_pig_script' => q\
a = load ':INPATH:/singlefile/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)(ROUND($2*100))/100;
store d into ':OUTPATH:';\,
                    },
                    {
                    'num' => 11,
                    '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 a generate flatten(myfuncs.reverse(name, age));
store b into ':OUTPATH:';\,
                     'verify_pig_script' => q\
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age:int, gpa:double);
b = foreach a generate age, name;
store b into ':OUTPATH:';\,
                    },
                    {
                    'num' => 12,
                    '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 = filter a by myfuncs.ISEVEN(age);
store b into ':OUTPATH:';\,
                    'verify_pig_script' => q\
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age:int, gpa:double);
b = filter a by age%2==0;
store b into ':OUTPATH:';\,
                    },
                    {
                    '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){
   a1= order a by name,age,gpa;
   generate FLATTEN(myfuncs.AppendIndex(a1));
}
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){
    a1=order a by name,age,gpa;
    generate FLATTEN(org.apache.pig.test.udf.evalfunc.AppendIndex(a1));
}
store b into ':OUTPATH:';\,
                    },
                ]
            },
            {
            'name' => 'JavaScriptUDFs',
            'tests' => [
                    {
                    # test double square
                    'num' => 1,
                    'pig' => q\
register ':SCRIPTHOMEPATH:/js/scriptingudf.js' using javascript as myfuncs;
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age:int, gpa:double);
b = foreach a generate myfuncs.square(gpa);
store b into ':OUTPATH:';\,
                    'verify_pig_script' => q\
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age:int, gpa:double);
b = foreach a generate gpa * gpa;
store b into ':OUTPATH:';\,
                    },
                ]
            },
            {
            'name' => 'GroovyUDFs',
            'tests' => [
                    {
                    # test integer square
                    'num' => 1,
                    'pig' => q\
register ':SCRIPTHOMEPATH:/groovy/scriptingudf.groovy' using groovy as myfuncs;
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age:int, gpa:double);
b = foreach a generate myfuncs.square(age);
store b into ':OUTPATH:';\,
                    'verify_pig_script' => q\
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age:int, gpa:double);
b = foreach a generate age * age;
store b into ':OUTPATH:';\,
                    },
                ]
            },
            {
            'name' => 'StreamingPythonUDFs',
            'tests' => [
                    {
                    # test integer square
                    'num' => 1,
                    'pig' => q\
register ':SCRIPTHOMEPATH:/cpython/scriptingudf.py' using streaming_python as myfuncs;
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age:int, gpa:double);
b = foreach a generate myfuncs.square(age);
store b into ':OUTPATH:';\,
                    'verify_pig_script' => q\
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age:int, gpa:double);
b = foreach a generate age * age;
store b into ':OUTPATH:';\,
                    },
                    {
                    # test string concat and referencing function without a namespace
                    'num' => 2,
                    'pig' => q\
register ':SCRIPTHOMEPATH:/cpython/scriptingudf.py' using streaming_python;
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age, gpa);
b = foreach a generate concat(name) as name;
store b into ':OUTPATH:';\,
            'verify_pig_script' => q\
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:int, gpa:double);
b = foreach a generate CONCAT(name, name);
store b into ':OUTPATH:';\,
                    },
                    {
                    # test long and float square, plus two references to the same UDF with different schemas
                    'num' => 3,
                    'floatpostprocess' => 1,
                    'delimiter' => '	',
                    'pig' => q\
register ':SCRIPTHOMEPATH:/cpython/scriptingudf.py' using streaming_python as myfuncs;
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age:long, gpa:double);
b = foreach a generate myfuncs.square(age) as age:long, myfuncs.squareDouble(gpa) as gpa:double;
store b into ':OUTPATH:';\,
            'verify_pig_script' => q\
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age:int, gpa:double);
b = foreach a generate age * age, ((double) ROUND((gpa * gpa)*10000)) / 10000.0;
store b into ':OUTPATH:';\,
                    },
                    {
                    # test bytearray
                    'num' => 4,
                    'pig' => q\
register ':SCRIPTHOMEPATH:/cpython/scriptingudf.py' using streaming_python as myfuncs;
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age, gpa);
b = foreach a generate myfuncs.byteconcat(name);
store b into ':OUTPATH:';\,
            'verify_pig_script' => q\
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = foreach a generate CONCAT(name, name);
store b into ':OUTPATH:';\,
                    },
                    {
                    # test complex types
                    'num' => 5,
                    'pig' => q\
register ':SCRIPTHOMEPATH:/cpython/scriptingudf.py' using streaming_python as myfuncs;
a = load ':INPATH:/singlefile/studentcomplextab10k' using PigStorage() as (m:[], t:(name:chararray, age:int, gpa:double), b:{t:(name:chararray, age:int, gpa:double)});
b = foreach a generate flatten(myfuncs.complexTypes(m, t, b)) as (mm, mt, mb);
c = foreach b generate mm#'name', mt.$0, mb.$0;
store c into ':OUTPATH:';\,
            'verify_pig_script' => q\
a = load ':INPATH:/singlefile/studentcomplextab10k' using PigStorage() as (m:[], t:(name:chararray, age:int, gpa:double), b:{t:(name:chararray, age:int, gpa:double)});
b = foreach a generate SIZE(m#'name'), t.$2, b.$2;
store b into ':OUTPATH:';\,
                    },
                    {
                    # test null input and output
                    'num' => 6,
                    'pig' => q\
register ':SCRIPTHOMEPATH:/cpython/scriptingudf.py' using streaming_python as myfuncs;
a = load ':INPATH:/singlefile/studentnulltab10k' using PigStorage() as (name, age:int, gpa:double);
b = foreach a generate myfuncs.square(age);
store b into ':OUTPATH:';\,
            'verify_pig_script' => q\
a = load ':INPATH:/singlefile/studentnulltab10k' using PigStorage() as (name, age:int, gpa:double);
b = foreach a generate age * age;
store b into ':OUTPATH:';\,
                    },
                    {
                    # test functions that call other functions and include other files
                    'num' => 7,
                    'pig' => q\
register ':SCRIPTHOMEPATH:/cpython/scriptingudf.py' using streaming_python as myfuncs;
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age:int, gpa:double);
b = foreach a generate myfuncs.redirect(age);
store b into ':OUTPATH:';\,
            'verify_pig_script' => q\
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age:int, gpa:double);
b = foreach a generate age * age;
store b into ':OUTPATH:';\,
                    },
                    {
                    # test that functions with same names resolve correctly across name spaces
                    'num' => 8,
                    'pig' => q\
register ':SCRIPTHOMEPATH:/cpython/scriptingudf.py' using streaming_python as myfuncs;
register ':SCRIPTHOMEPATH:/cpython/morepythonudfs.py' using streaming_python as morefuncs;
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age:int, gpa:double);
b = foreach a generate myfuncs.square(age), morefuncs.square(age);
store b into ':OUTPATH:';\,
            'verify_pig_script' => q\
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age:int, gpa:double);
b = foreach a generate age * age, age * age * age;
store b into ':OUTPATH:';\,
                    },
                    {
                    # test that functions with same names resolve correctly across name spaces
                    'num' => 9,
                    'pig' => q\
register ':SCRIPTHOMEPATH:/cpython/scriptingudf.py' using streaming_python as myfuncs;
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age:int, gpa:double);
b = group a by name;
c = foreach b generate group, myfuncs.count(a);
store c into ':OUTPATH:';\,
            'verify_pig_script' => q\
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age:int, gpa:double);
b = group a by name;
c = foreach b generate group, COUNT(a);
store c into ':OUTPATH:';\,
                    },
                    {
                    # test that functions with same names resolve correctly across name spaces
                    'num' => 10,
                    'pig' => q\
register ':SCRIPTHOMEPATH:/cpython/scriptingudf.py' using streaming_python as myfuncs;
a = load ':INPATH:/singlefile/allscalar10k' as (name:chararray, age:int, gpa:double, instate:boolean);
b = foreach a generate name, myfuncs.adjustgpa(gpa, instate);
store b into ':OUTPATH:';\,
            'verify_pig_script' => q\
a = load ':INPATH:/singlefile/allscalar10k' using PigStorage() as (name:chararray, age:int, gpa:double, instate:chararray);
b = foreach a generate name, ((double)ROUND((instate=='true'?gpa:gpa+1)*10000)) / 10000.0;
store b into ':OUTPATH:';\,
                    },
                    {
                    # test that functions with same names resolve correctly across name spaces
                    'num' => 11,
                    'pig' => q\
register ':SCRIPTHOMEPATH:/cpython/scriptingudf.py' using streaming_python as myfuncs;
a = load ':INPATH:/singlefile/studenttab10k' as (name:chararray, age:int, gpa:double);
b = foreach a generate name, myfuncs.isretired(age);
store b into ':OUTPATH:';\,
                    'verify_pig_script' => q\
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:int, gpa:double);
b = foreach a generate name, (age>=60?'true':'false');
store b into ':OUTPATH:';\,
                    },
                    {
                    # udf which returns an array
                    'num' => 12,
                    'pig' => q\
register ':SCRIPTHOMEPATH:/cpython/scriptingudf.py' using streaming_python as myfuncs;
a = load ':INPATH:/singlefile/studenttab10k' as (name:chararray, age:chararray, gpa:chararray);
b = foreach a generate CONCAT(CONCAT(age, ' '), gpa) as sentence;
c = foreach b generate flatten(myfuncs.tokenize(sentence));
store c into ':OUTPATH:';\,
                    'verify_pig_script' => q\
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:chararray, gpa:chararray);
b = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:chararray, gpa:chararray);
c = foreach a generate age;
d = foreach b generate gpa;
e = union c, d;
store e into ':OUTPATH:';\,
                    }
                ]
            },
            {
            'name' => 'Native',
            'tests' => [
                    {
                    # test common
                    'num' => 1,
                    'pig' => q\
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = native ':MAPREDJARS:/hadoop-examples.jar' Store a into ':OUTPATH:.intermediate.1' Load ':OUTPATH:.intermediate.2' `wordcount :OUTPATH:.intermediate.1 :OUTPATH:.intermediate.2`;
store b into ':OUTPATH:';\,
                    'notmq' => 1,
                    'verify_pig_script' => q\
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = mapreduce ':MAPREDJARS:/hadoop-examples.jar' Store a into ':OUTPATH:.intermediate.1' Load ':OUTPATH:.intermediate.2' `wordcount :OUTPATH:.intermediate.1 :OUTPATH:.intermediate.2`;
store b into ':OUTPATH:';\,
                    },
                    {
                    # test complex
                    'num' => 2,
                    'pig' => q\
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = foreach a generate name;
c = distinct b;
d = native ':MAPREDJARS:/hadoop-examples.jar' Store c into ':OUTPATH:.intermediate.1' Load ':OUTPATH:.intermediate.2' as (name:chararray, count: int) `wordcount :OUTPATH:.intermediate.1 :OUTPATH:.intermediate.2`;
e = order d by name;
store e into ':OUTPATH:';\,
                    'sortArgs' => ['-t', '	'],
                    'notmq' => 1,
                    'verify_pig_script' => q\
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = foreach a generate name;
c = distinct b;
d = mapreduce ':MAPREDJARS:/hadoop-examples.jar' Store c into ':OUTPATH:.intermediate.1' Load ':OUTPATH:.intermediate.2' as (name:chararray, count: int) `wordcount :OUTPATH:.intermediate.1 :OUTPATH:.intermediate.2`;
e = order d by name;
store e into ':OUTPATH:';\,
                    },
                    {
                    # test streaming
                    'num' => 3,
                    'pig' => q\
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = mapreduce ':MAPREDJARS:/hadoop-streaming.jar' Store a into ':OUTPATH:.intermediate.1' Load ':OUTPATH:.intermediate.2' as (name:chararray, count: int) `-input :OUTPATH:.intermediate.1 -output :OUTPATH:.intermediate.2 -mapper cat -reducer wc`;
store b into ':OUTPATH:';\,
                    'notmq' => 1,
                    },
                ]
            },
            {
            'name' => 'Partitioner',
            'tests' => [
                    {
                    # test group
                    'num' => 1,
                    'execonly' => 'mapred,tez,spark', # since this join will run out of memory in local mode
                    'pig' => q\register :FUNCPATH:/testudf.jar;
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age:int, gpa);
b = group a by age PARTITION BY org.apache.pig.test.utils.SimpleCustomPartitioner2 parallel 2;
c = foreach b generate group, COUNT(a);
store c into ':OUTPATH:';\,
             'java_params' => ['-Dpig.exec.mapPartAgg=false']
                    },
                ]
            },
            { 
####################################################################
# SUB    : CastScalar
# FEATURE: adds functionality that allows to cast elements of a single-tuple relation into a scalar value.
# JIRA: Pig-1434 
#
# TEST ITEMS:
# 1 Test syntax
# 2 Test scalar for simple data type
# 3 Test scalar for complex data type: tuple, bag, map
# 4 Test implicit cast
# 5 Test explicit cast
# 6 Positional parameter
# 7 Cast within an aggregate function
# 8 Cast within an UDF function
# 9 Cast with a FOREACH
# 10 Cast with a FILTER
# 11 Cast with a SPLIT
# 12 Cast in a JOIN
# 13 Multiquery
# 14 Cast on a schema that cannot be inferred should result in bytearray
# 15 Replicated Join
# 16 Test operations such as R1 * (int)R1
# 17 CheckSingular(*)
# 18 missing field in scalar file
# 19 scalar referenced from an empty file
# 20 empty input directory
# 21 Single row vs Multiple Row
# 22 Cast on a multi-field tuple
# 23 Reference a non-scalar as a scalar
# 24 Test multiple loaders

        'name' => 'CastScalar',
        'tests' => [
            {
# 2 Test scalar for simple data type
# 3 Test scalar for complex data type: tuple, bag, map
# 9 Cast with a FOREACH
#INPATH = /user/hadoopqa/pig/tests/data

            'num' => 1,
            'pig' => q# 
a = load ':INPATH:/singlefile/studenttab10k' as (name: chararray, age: int, gpa: float); 
b = group a all;
c = foreach b generate SUM(a.age) as total;
d = foreach a generate name, age+(double)c.total as d_sum;
e = order d  by name, d_sum;
store d into ':OUTPATH:';
#,
# 6 Positional parameter

            }, {

            'num' => 2,
            'pig' => q# 
a = load ':INPATH:/singlefile/studenttab10k' as (name: chararray, age: int, gpa: float); 
b = group a all;
c = foreach b generate SUM(a.age) as total;
d = foreach a generate name, age+(double)c.$0 as d_sum;
e = order d  by name, d_sum;
store d into ':OUTPATH:';
#,
# 2 Test scalar for simple data type
# 3 Test scalar for complex data type:map
# 9 Cast with a FOREACH
# 13 Multiquery
# 24 Test multiple loaders
#INPATH = /user/hadoopqa/pig/tests/data

            }, {

# 4 Test implicit cast
# 10 Cast with a FILTER
#
# I set the benchmark to use "19" because pig trunkates during cast and sql rounds up.
            'num' => 7,
            'pig' => q\
a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = group a by name;
c = foreach b generate group, AVG(a.gpa)+20 as avg_gpa;
d = order c by avg_gpa;
simple_scalar = limit d 1;
f = filter a by age < (int) simple_scalar.avg_gpa;
g = order f by name, age, gpa;
store g into ':OUTPATH:';\,

            }, {
# 5 Test explicit cast
# 10 Cast with a FILTER
            'num' => 8,

                        'pig' => q\
a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = group a by name;
c = foreach b generate group, AVG(a.age) AS average;
d = order c by average;
simple_scalar = limit d 1;
d = filter a by age > (int) simple_scalar.average;
e = foreach d generate name, age;
store e into ':OUTPATH:';
\,
            }, {
# 5 Test explicit cast
# 6 Positional parameter
                        'num' => 9,
                        'pig' => q\
a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = group a by name;
c = foreach b generate group, AVG(a.age) AS average;
d = order c by average;
simple_scalar = limit d 1;
d = filter a by age > (int) simple_scalar.$1;
e = foreach d generate name, age;
store e into ':OUTPATH:';
\,
            }, {
# 4 Test implicit cast
# 6 Positional parameter
# 10 Cast with a FILTER
                        'num' => 10,
                        'pig' => q\
a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = group a by name;
c = foreach b generate group, AVG(a.age) AS average;
d = order c by average;
simple_scalar = limit d 1;
d = filter a by age >  simple_scalar.$1;
e = foreach d generate name, age;
store e into ':OUTPATH:';
\,
            }, {
# 4 Test implicit cast
# 6 Positional parameter
# 11 Cast with a SPLIT
            'num' => 11,
            'pig' => q\
a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
b = group a by name;
c = foreach b generate group, AVG(a.age) AS average;
d = order c by average;
simple_scalar = limit d 1;
split a into X1 if age > (int) simple_scalar.$1, X2 if age < 20;
split a into X3 if age > (int) simple_scalar.$1, X4 if age > 70;

store X1 into ':OUTPATH:.1';
store X2 into ':OUTPATH:.2';
store X3 into ':OUTPATH:.3';
store X4 into ':OUTPATH:.4';
\,
                 }, {
# 4 Test implicit cast
# 6 Positional parameter
# 12 Cast with a JOIN
            'num' => 12,
            'pig' => q\
a = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name, age, gpa);
b = load ':INPATH:/singlefile/votertab10k' as (name, age, registration, contributions);
c = filter a by age < 20;
d = filter b by age < 20;
simple_scalar = limit d 1;
e = join c by name, d by name;
f= filter e by c::age <(int)simple_scalar.age;
store f into ':OUTPATH:';\,
                   },
                ]

                },{
                 
                'name' => 'udf_TOBAGandTOTUPLE',
               
                'sortResults' => 1,
                'floatpostprocess' => 1,
                'delimiter' => '	',
                'tests' => [
                        {
# TEST : resulting schema for TOBAG/TOTUPLE with simple types
# TEST : resulting schema for TOBAG/TOTUPLE with positional parameters
# TEST : resulting schema for various projects using a combination of TOBAG/TOTUPLE and standard projections
# TEST : resulting schema for various projects using a combination of TOBAG/TOTUPLE using AS clause

						'num' => 1
                        ,'pig' => q?
A  = load ':INPATH:/types/numbers.txt' using PigStorage(':') as (intnum1000: int,id: int,intnum5: int,intnum100: int,intnum: int,longnum: long,floatnum: float,doublenum: double);
B = limit A 10;
Gen1 = FOREACH B GENERATE $0, $1, $2 ;
GroupById = GROUP B BY id;

B1  = foreach B generate TOBAG( intnum1000, id, intnum5); 
B3 = foreach B generate TOBAG( $0, $1, $2); 
T1= foreach B generate TOTUPLE( intnum1000, id, intnum5); 
T2= foreach B generate TOTUPLE( $0, $1, $2); 
T3 = foreach B generate TOTUPLE( $0, $0, $0); 
T4= foreach B generate TOBAG($0, $1, $2), TOTUPLE($3, $4, $5), $6, $7;
T5= foreach B generate $0, $1, TOTUPLE($2, $3, $4), TOBAG($5, $6), $7;
T6= foreach B generate $0,  TOTUPLE($0, $0, $0), TOBAG($0, $0), $0 AS duplicate;
describe Gen1;
describe GroupById;
describe B1;
describe B3;
describe T1;
describe T2;
describe T3;
describe T4;
describe T5;
describe T6;
?
                         ,'expected_out_regex'  => 'B1: \\{\\{int}}'
                         ,'expected_out_regex'  => 'B3: \\{\\{int}}'
                         ,'expected_out_regex'  => 'T1: \\{org.apache.pig.builtin.totuple_id_.*: (intnum1000: int,id: int,intnum5: int)}'
                         ,'expected_out_regex'  => 'T2: \\{org.apache.pig.builtin.totuple_id_.*: (intnum1000: int,id: int,intnum5: int)}'
                         ,'expected_out_regex'  => 'T3: \\{org.apache.pig.builtin.totuple_intnum1000.*: (intnum1000: int,intnum1000: int,intnum1000: int)}'
                         ,'expected_out_regex'  => 'T4: \\{\\{int},org.apache.pig.builtin.totuple_intnum100.*: (intnum100: int,intnum: int,longnum: long),floatnum: float,doublenum: double}'
                         ,'expected_out_regex'  => 'T5: \\{intnum1000: int,id: int,org.apache.pig.builtin.totuple_intnum100.*: (intnum5: int,intnum100: int,intnum: int).*{NULL}.*doublenum: double}'
                         ,'expected_out_regex'  => "T6: \\{intnum1000: int,org.apache.pig.builtin.totuple_intnum1000.*: \\(intnum1000: int,intnum1000: int,intnum1000: int\\),\\{\\(int\\)},duplicate: int}"
                        }, {
# TEST : bag of mixed data types
# TEST : Order 
# TEST : positional parameters
			'num' => 2
                        ,'pig' => q?
A  = load ':INPATH:/types/numbers.txt' using PigStorage(':') as (intnum1000: int,id: int,intnum5: int,intnum100: int,intnum: int,longnum: long,floatnum: float,doublenum: double);
C   = foreach A generate TOBAG( id, floatnum, doublenum ); 
D   = foreach A generate TOBAG( id, intnum);
E   = foreach A generate TOBAG( (float) id,floatnum );
F   = foreach A generate TOBAG( (long) id,longnum );
G   = foreach A generate TOBAG( (double) id,doublenum );
describe C;
describe D;
describe E;
describe F;
describe G;
?
                         ,'expected_out_regex'  => 'C: \\{\\{\\(NULL\\)}}'
                         ,'expected_out_regex'  => 'D: \\{\\{\\(int\\)}}'
                         ,'expected_out_regex'  => 'E: \\{\\{\\(float\\)}}'
                         ,'expected_out_regex'  => 'F: \\{\\{\\(long\\)}}'
                         ,'expected_out_regex'  => 'G: \\{\\{\\(double\\)}}'

			}, {
# TEST : TOBAG/TOTUPLE with simple types
# TEST : TOBAG/TOTUPLE with positional parameters
# TEST : various projects using a combination of TOBAG/TOTUPLE and standard projections
# TEST : various projects using a combination of TOBAG/TOTUPLE using AS clause
			 			'num' => 3
                        ,'pig' => q?
A  = load ':INPATH:/types/numbers.txt' using PigStorage(':') as (intnum1000: int,id: int,intnum5: int,intnum100: int,intnum: int,longnum: long,floatnum: float,doublenum: double);
B = limit A 10;
B1  = foreach B generate TOBAG( intnum1000, id, intnum5); 
B2 = foreach B generate TOBAG( $0, $1, $2); 
T1= foreach B generate TOTUPLE( intnum1000, id, intnum5); 
T2= foreach B generate TOTUPLE( $0, $1, $2); 
T3 = foreach B generate TOTUPLE( $0, $0, $0); 
T4= foreach B generate TOBAG($0, $1, $2), TOTUPLE($3, $4, $5), $6, $7;
T5= foreach B generate $0, $1, TOTUPLE($2, $3, $4), TOBAG($5, $6), $7;
T6= foreach B generate $0,  TOTUPLE($0, $0, $0), TOBAG($0, $0), $0 AS duplicate;
Gen1 = FOREACH B GENERATE $0, $1, $2 ;
GroupById = GROUP B BY id;
store Gen1 into ':OUTPATH:.1';
store GroupById into ':OUTPATH:.2';
store B1 into  ':OUTPATH:.3';
store B2 into  ':OUTPATH:.4';
store T1 into ':OUTPATH:.5';
store T2 into ':OUTPATH:.6';
store T3 into ':OUTPATH:.7';
store T4 into ':OUTPATH:.8';
?
                        }, {
# TEST : cast for TOTUPLE/TOBAG
						 'num' => 4
                        ,'ignore' => 1 # different error message for different version of hadoop
                        ,'pig' => q?
A  = load ':INPATH:/types/numbers.txt' using PigStorage(':') as (intnum1000: int,id: int,intnum5: int,intnum100: int,intnum: int,longnum: long,floatnum: float,doublenum: double);
B= limit A 10;
C = foreach B generate $0,  TOTUPLE((int) $0, (long) $0, (double) $0), TOBAG( (float) $0, (chararray) $0), $0;
store C into  ':OUTPATH:';
?
                         ,'expected_err_regex'  => 'ERROR 1108: Duplicate schema alias'
                         ,'rc' => 6

                        }, {
# TEST : cast for TOTUPLE/TOBAG
						'num' => 5
                        ,'pig' => q?
A  = load ':INPATH:/types/numbers.txt' using PigStorage(':') as (intnum1000: int,id: int,intnum5: int,intnum100: int,intnum: int,longnum: long,floatnum: float,doublenum: double);
B= limit A 1;
C = foreach B generate $0,  TOTUPLE((int) $0);
D = foreach B generate $0,  TOTUPLE((long) $0);
E = foreach B generate $0,  TOTUPLE((double) $0);
F = foreach B generate $0,  TOTUPLE((float) $0);
G = foreach B generate $0,  TOTUPLE((chararray) $0);
store B into  ':OUTPATH:.1';
store C into  ':OUTPATH:.2';
store D into  ':OUTPATH:.3';
store E into  ':OUTPATH:.4';
store F into  ':OUTPATH:.5';
store G into  ':OUTPATH:.6';
?
                        }, {

#TEST more complicated nested functions such as TOTUPLE(TOBAG())
#TEST more complicated nested functions such as TOBAG(TOTUPLE())
#TEST more complicated nested functions such as TOTUPLE(TOTUPLE())
#TEST more complicated nested functions such as TOBAG(TOBAG())
			'num' => 6
                        ,'pig' => q?
A  = load ':INPATH:/types/numbers.txt' using PigStorage(':') as (intnum1000: int,id: int,intnum5: int,intnum100: int,intnum: int,longnum: long,floatnum: float,doublenum: double);
B = limit A 10;
tint = foreach B generate  TOTUPLE( TOBAG( $1, $2, $3),TOTUPLE($3, $4, $5) );
bint = foreach B generate  TOTUPLE( TOBAG( $1, $2, $3),TOBAG($3, $4, $5) );
binb = foreach B generate  TOBAG( TOBAG( $1, $2, $3),TOBAG($3, $4, $5) );
tinb = foreach B generate  TOTUPLE( TOBAG( $1, $2, $3),TOBAG($3, $4, $5) );
store B into  ':OUTPATH:.1';
store tint into  ':OUTPATH:.2';
store bint into  ':OUTPATH:.3';
store binb into  ':OUTPATH:.4';
store tinb into  ':OUTPATH:.5';
?

                        }, {
#TEST arithmetic operation in TOTUPLE and TOBAG
#TEST aggregate funcion - NOT IMPLEMENTED
#TEST tuple with 50+ items
#TEST with null
						'num' => 7
                        ,'pig' => q?
A  = load ':INPATH:/types/numbers.txt' using PigStorage(':') as (intnum1000: int,id: int,intnum5: int,intnum100: int,intnum: int,longnum: long,floatnum: float,doublenum: double);
B = limit A 10;
B1= foreach B generate  TOTUPLE( $1, $2, $3);
T1= foreach B generate  TOTUPLE( $1, $2, $3);
R1= foreach B generate  TOTUPLE( $1, $0+1, $0+2, $0+3),TOBAG($0+4, $0+1 );
R2= foreach B generate  TOTUPLE( $0, $1, $2, $3, $4, $5, $6, $7, (int) 8, (int) 9 , $1, $2, $3, $4, $5, $6, $7, (int) 19, (int) 20, $0, $1, $2, $3, $4, $5, $6, $7 , (int) 29, (int) 30, $0, $1, $2, $3, $4, $5, $6, $7, (int) 39, (int) 40 , $1, $2, $3, $4, $5, $6, $7, (int) 19, (int) 20, $0, $1, $2, $3, $4, $5, $5, $7 );

R3= foreach B generate $0, TOTUPLE(0,0,0),  TOBAG( 0, 0 );
R4= foreach B generate $0, TOTUPLE(null, id, null),  TOBAG( id, null, id,null );

describe R1;
describe R2;
describe R3;
describe R4;

store B into  ':OUTPATH:.1';
store B1 into ':OUTPATH:.2';
store R1 into ':OUTPATH:.3';
store R2 into ':OUTPATH:.4';
store R3 into ':OUTPATH:.5';
store R4 into ':OUTPATH:.6';
?

                        }, {
# TEST more TOTUPLE and TOBAG nested combinations
						'num' => 8
                        ,'pig' => q?
A  = load ':INPATH:/types/numbers.txt' using PigStorage(':') as (intnum1000: int,id: int,intnum5: int,intnum100: int,intnum: int,longnum: long,floatnum: float,doublenum: double);
B = limit A 10;
C = foreach B generate TOBAG( $0, $1, $2); 
T1= foreach B generate  TOTUPLE( TOBAG( $1, $2, $3),TOTUPLE($3, $4, $5) );
T2= foreach B generate  TOTUPLE( TOBAG( $1, $2, $3),TOBAG($3, $4, $5) );
T3= foreach B generate  TOBAG( TOTUPLE( $1, $2, $3), TOTUPLE($4,$5), TOTUPLE($6,$7));
store B  into ':OUTPATH:.1';
store C  into ':OUTPATH:.2';
store T1 into ':OUTPATH:.3';
store T2 into ':OUTPATH:.4';
store T3 into ':OUTPATH:.5';
?
                        ,'verify_pig_script' => q?register :FUNCPATH:/testudf.jar;
A  = load ':INPATH:/types/numbers.txt' using PigStorage(':') as (intnum1000: int,id: int,intnum5: int,intnum100: int,intnum: int,longnum: long,floatnum: float,doublenum: double);
B = limit A 10;
C = foreach B generate TOBAG( $0, $1, $2);
T1= foreach B generate  TOTUPLE( TOBAG( $1, $2, $3),TOTUPLE($3, $4, $5) );
T2= foreach B generate  TOTUPLE( TOBAG( $1, $2, $3),TOBAG($3, $4, $5) );
T3= foreach B generate  org.apache.pig.test.udf.evalfunc.TOBAG2( TOTUPLE( $1, $2, $3), TOTUPLE($4,$5), TOTUPLE($6,$7));
store B  into ':OUTPATH:.1';
store C  into ':OUTPATH:.2';
store T1 into ':OUTPATH:.3';
store T2 into ':OUTPATH:.4';
store T3 into ':OUTPATH:.5';
?
                        }, {
#TEST negative test case: out of bounds positional parameter
# EVERYTHING IS CORRECT
			'num' => 9
                        ,'ignore' => 1 # different error message for different version of hadoop
                        ,'pig' => q?
A  = load ':INPATH:/types/numbers.txt' using PigStorage(':') as (intnum1000: int,id: int,intnum5: int,intnum100: int,intnum: int,longnum: long,floatnum: float,doublenum: double);
B = limit A 10;
C = foreach B generate $0, $1, TOTUPLE($2, $998, $4), TOBAG($5, $6), $7;
?
                         ,'expected_err_regex'  => 'Out of bound access.*non-existent column: 998'
                        }, {
#TEST negative test case: out of bounds positional parameter
# EVERYTHING IS CORRECT
			'num' => 10
                        ,'ignore' => 1 # different error message for different version of hadoop
                        ,'pig' => q?
A  = load ':INPATH:/types/numbers.txt' using PigStorage(':') as (intnum1000: int,id: int,intnum5: int,intnum100: int,intnum: int,longnum: long,floatnum: float,doublenum: double);
B = limit A 10;
C = foreach B generate $0, $1, TOBAG($5, $999), $7;
?
                         ,'expected_err_regex'  => 'Out of bound access.*non-existent column: 999'

                        }, 

                ] # end of tests

            },{

		'name' => 'ToStuffSyntaxSugar',
		'tests' => [
				{
				#TEST TOTUPLE syntax sugar
				'num' => 1,
				'pig' => q\
				A = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:int, gpa:float);
				B = foreach A generate (name, age);
				store B into ':OUTPATH:';\, 
				                    'verify_pig_script' => q\
				A = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:int, gpa:float);
				B = foreach A generate TOTUPLE(name, age);
				store B into ':OUTPATH:';\,
				}, {
				#TEST TOBAG syntax sugar
				'num' => 2,
				'pig' => q\
				A = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:int, gpa:float);
				B = foreach A generate {name, age};
				store B into ':OUTPATH:';\, 
				                    'verify_pig_script' => q\
				A = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:int, gpa:float);
				B = foreach A generate TOBAG(name, age);
				store B into ':OUTPATH:';\,			
				}, {
				#TEST TOMAP syntax sugar
				'num' => 3,
				'pig' => q\
				A = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:int, gpa:float);
				B = foreach A generate [name, age];
				store B into ':OUTPATH:';\, 
				                    'verify_pig_script' => q\
				A = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:int, gpa:float);
				B = foreach A generate TOMAP(name, age);
				store B into ':OUTPATH:';\,			
				}, {
				#TEST verify single element inside parenthesis does NOT call TOTUPLE
				'num' => 4,
				'pig' => q\
				A = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:int, gpa:float);
				B = foreach A generate (age) + 1;
				store B into ':OUTPATH:';\, 
				                    'verify_pig_script' => q\
				A = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:int, gpa:float);
				B = foreach A generate (age + 1);
				store B into ':OUTPATH:';\,
				}
			] # end of tests
		},{
	
	        'name' => 'MergeOperator',

	        'tests' => [
			    {
                    # Test Union using merge where schema is identical  | A&B have identical schema
			        'num' => 1,
			        'pig' => q\
A = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:int, gpa:float);
B = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:int, gpa:float);
C = union onschema A, B;
store C into ':OUTPATH:';\, 
                    'verify_pig_script' => q\
A = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:int, gpa:float);
B = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:int, gpa:float);
C = union A, B;
store C into ':OUTPATH:';\, 
				},{
                    # Test Union using merge with type promotions, int->long and float->double
			        'num' => 2,
			        'floatpostprocess' => 1,
			        'delimiter' => '	',
			        'pig' => q\
A = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:int, gpa:float);
B = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:long, gpa:double);
C = union onschema A, B;
store C into ':OUTPATH:';\, 
                    'verify_pig_script' => q\
A = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:int, gpa:float);
B = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:int, gpa:float);
C = union A, B;
D = foreach C generate name, (long)age, (double)gpa;
store C into ':OUTPATH:';\, 
				},{
                    # Test Union using merge with type promotions, int->float
			        'num' => 3,
			        'floatpostprocess' => 1,
			        'delimiter' => '	',
			        'pig' => q\
A = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:int, gpa:float);
B = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:float, gpa:float);
C = union onschema A, B;
store C into ':OUTPATH:';\, 
                    'verify_pig_script' => q\
A = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:float, gpa:float);
B = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:float, gpa:float);
C = union A, B;
D = foreach C generate name, (float)age, gpa;
store C into ':OUTPATH:';\, 
				},{
                    # Test Union using merge with type promotions, int->double
			        'num' => 4,
			        'floatpostprocess' => 1,
			        'delimiter' => '	',
			        'pig' => q\
A = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:int, gpa:float);
B = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:double, gpa:float);
C = union onschema A, B;
store C into ':OUTPATH:';\, 
                    'verify_pig_script' => q\
A = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:double, gpa:float);
B = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:double, gpa:float);
C = union A, B;
D = foreach C generate name, (double)age, gpa;
store C into ':OUTPATH:';\, 
				},{
                    # Test Union of an intersection
			        'num' => 5,
			        'pig' => q\
A = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:int, gpa:float);
B = load ':INPATH:/singlefile/votertab10k' as (name:chararray, age:int, registration:chararray, contributions:float);
C = union onschema A, B;
store C into ':OUTPATH:';\, 
                    'verify_pig_script' => q\
register :FUNCPATH:/testudf.jar;
define Nil org.apache.pig.test.udf.evalfunc.Nil();
A = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:int, gpa:float);
B = load ':INPATH:/singlefile/votertab10k' as (name:chararray, age:int, registration:chararray, contributions:float);
C = foreach A generate name, age, (chararray)gpa, Nil(), Nil();
D = foreach B generate name, age, Nil(), registration, (chararray)contributions;
E = union C, D;
store E into ':OUTPATH:';\, 
				},
                {
                    # Test Union where the intersection is null
			        'num' => 6,
			        'pig' => q\
A = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:int, gpa:float);
B = load ':INPATH:/singlefile/textdoc' as (line:chararray);
C = union onschema A, B;
store C into ':OUTPATH:';\, 
                    'verify_pig_script' => q\
register :FUNCPATH:/testudf.jar;
define Nil org.apache.pig.test.udf.evalfunc.Nil();
A = load ':INPATH:/singlefile/studenttab10k' using PigStorage() as (name:chararray, age:int, gpa:float);
B = load ':INPATH:/singlefile/textdoc' as (line:chararray);
C = foreach A generate name, (chararray)age, (chararray)gpa, Nil(name);
D = foreach B generate Nil(line), Nil(line), Nil(line), line;
E = union C, D;
store E into ':OUTPATH:';\, 
				},
                {
                    # Test Union using merge where schema is identical  | A&B have identical schema
			        'num' => 7,
			        'pig' => q\
a = load ':INPATH:/singlefile/allscalar10k' using PigStorage() as (name:chararray, age:int, gpa:double, instate:boolean);
b = load ':INPATH:/singlefile/allscalar10k' using PigStorage() as (name:chararray, age:int, gpa:double, instate:boolean);
C = union onschema a, b;
store C into ':OUTPATH:';\, 
                    'verify_pig_script' => q\
a = load ':INPATH:/singlefile/allscalar10k' using PigStorage() as (name:chararray, age:int, gpa:double, instate:chararray);
b = load ':INPATH:/singlefile/allscalar10k' using PigStorage() as (name:chararray, age:int, gpa:double, instate:chararray);
C = union a, b;
store C into ':OUTPATH:';\, 
                }
              ]

            },
            {

            # Test Union using merge with Simple data types
            'name' => 'UdfDistributedCache',
            'tests' => [
                {
                    'num' => 1,
                    'java_params' => ['-Dopt.fetch=false', '-Dpig.user.cache.enabled=true'],
                    'execonly' => 'mapred,tez,spark', # since distributed cache is not supported in local mode
                    'pig' => q?
                        register :FUNCPATH:/testudf.jar;
                        define udfdc org.apache.pig.test.udf.evalfunc.Udfcachetest(':INPATH:/singlefile/votertab10k#foodle');
                        a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
                        b = limit a 1;
                        c = foreach b generate udfdc(age);
                        dump c;?,
                    'expected_out_regex' => ":UdfDistributedCache_1_out:",
                },
              ]
            }, {
                'name' => 'MonitoredUDF',
                'tests' => [
                    {
                        'num' => 1,
                        'java_params' => ['-Dpig.user.cache.enabled=true'],
                        'pig' => q?register :FUNCPATH:/testudf.jar;
                                define gm org.apache.pig.test.udf.evalfunc.GoodMonitored();
                                a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
                                b = foreach a generate gm(name);
                                store b into ':OUTPATH:';?,
                        'verify_pig_script' => q?a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
                                                b = foreach a generate 'fred';
                                                store b into ':OUTPATH:';?,
                    },{
                        'num' => 2,
                        'java_params' => ['-Dpig.user.cache.enabled=true'],
                        'pig' => q?register :FUNCPATH:/testudf.jar;
                                define bad org.apache.pig.test.udf.evalfunc.BadMonitored();
                                a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
                                b = limit a 1;
                                c = foreach b generate bad(name);
                                store b into ':OUTPATH:';?,
                        'verify_pig_script' => q?a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
                                                b = limit a 1;
                                                c = foreach b generate '';
                                                store b into ':OUTPATH:';?,
                    },{
                        'num' => 3,
                        'java_params' => ['-Dpig.user.cache.enabled=true'],
                        'pig' => q?register :FUNCPATH:/testudf.jar;
                                define bad org.apache.pig.test.udf.evalfunc.BadMonitored();
                                a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
                                b = limit a 1;
                                c = foreach b generate bad(name);
                                store b into ':OUTPATH:';?,
                        'verify_pig_script' => q?a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
                                                b = limit a 1;
                                                c = foreach b generate 'barney';
                                                store b into ':OUTPATH:';?,
                    }
                ],
            },{
                'name' => 'MergeSparseJoin',
                'tests' => [
                    # Simplest merge-sparse-join.
                    {
                        'num' => 1,
                        'pig' => q\register :PIGGYBANKJAR:
                                a = load ':INPATH:/singlefile/studenttab10k';
                                b = load ':INPATH:/singlefile/votertab10k';
                                c = order a by $0;
                                d = order b by $0;
                                store c into ':OUTPATH:.intermediate1';
                                store d into ':OUTPATH:.intermediate2' using org.apache.pig.piggybank.storage.IndexedStorage(',', '0');
                                exec;
                                e = load ':OUTPATH:.intermediate1';
                                f = load ':OUTPATH:.intermediate2' using org.apache.pig.piggybank.storage.IndexedStorage(',', '0');
                                g = join e by $0, f by $0 using 'merge-sparse';
                                store g into ':OUTPATH:';\,
                        'verify_pig_script' => q\a = load ':INPATH:/singlefile/studenttab10k';
                                b = load ':INPATH:/singlefile/votertab10k';
                                g = join a by $0, b by $0;
                                store g into ':OUTPATH:';\,
                        'notmq' => 1,
                    },
                    # Merge-sparse-join with left-side filter
                    {
                        'num' => 2,
                        'pig' => q\register :PIGGYBANKJAR:
                                a = load ':INPATH:/singlefile/studenttab10k';
                                b = load ':INPATH:/singlefile/votertab10k';
                                c = order a by $0;
                                d = order b by $0;
                                store c into ':OUTPATH:.intermediate1';
                                store d into ':OUTPATH:.intermediate2' using org.apache.pig.piggybank.storage.IndexedStorage(',', '0');
                                exec;
                                e = load ':OUTPATH:.intermediate1';
                                h = filter e by $1 > 30;
                                f = load ':OUTPATH:.intermediate2' using org.apache.pig.piggybank.storage.IndexedStorage(',', '0');
                                g = join h by $0, f by $0 using 'merge-sparse';
                                store g into ':OUTPATH:';\,
                        'verify_pig_script' => q\a = load ':INPATH:/singlefile/studenttab10k';
                                b = load ':INPATH:/singlefile/votertab10k';
                                h = filter a by $1 > 30;
                                g = join h by $0, b by $0;
                                store g into ':OUTPATH:';\,
                        'notmq' => 1,
                    },
                    # Merge-sparse-join with right-side filter
                    {
                        'num' => 3,
                        'pig' => q\register :PIGGYBANKJAR:
                                a = load ':INPATH:/singlefile/studenttab10k';
                                b = load ':INPATH:/singlefile/votertab10k';
                                c = order a by $0;
                                d = order b by $0;
                                store c into ':OUTPATH:.intermediate1';
                                store d into ':OUTPATH:.intermediate2' using org.apache.pig.piggybank.storage.IndexedStorage(',', '0');
                                exec;
                                e = load ':OUTPATH:.intermediate1';
                                f = load ':OUTPATH:.intermediate2' using org.apache.pig.piggybank.storage.IndexedStorage(',', '0');
                                i = filter f by $2 != 'democrat';
                                g = join e by $0, i by $0 using 'merge-sparse';
                                store g into ':OUTPATH:';\,
                        'verify_pig_script' => q\a = load ':INPATH:/singlefile/studenttab10k';
                                b = load ':INPATH:/singlefile/votertab10k';
                                i = filter b by $2 != 'democrat';
                                g = join a by $0, i by $0;
                                store g into ':OUTPATH:';\,

                        'notmq' => 1,
                    },
                    # Merge-sparse-join with key as expression
                    {
                        'num' => 4,
                        'pig' => q\register :PIGGYBANKJAR:
                                a = load ':INPATH:/singlefile/studenttab10k';
                                b = load ':INPATH:/singlefile/votertab10k';
                                c = order a by $0,$1;
                                d = order b by $0,$1;
                                store c into ':OUTPATH:.intermediate1';
                                store d into ':OUTPATH:.intermediate2' using org.apache.pig.piggybank.storage.IndexedStorage(',', '0,1');
                                exec;
                                e = load ':OUTPATH:.intermediate1';
                                f = load ':OUTPATH:.intermediate2' using org.apache.pig.piggybank.storage.IndexedStorage(',', '0,1');
                                g = join e by ($0,$1), f by ($0,$1) using 'merge-sparse';
                                store g into ':OUTPATH:';\,
                        'verify_pig_script' => q\a = load ':INPATH:/singlefile/studenttab10k';
                                b = load ':INPATH:/singlefile/votertab10k';
                                g = join a by ($0,$1), b by ($0,$1);
                                store g into ':OUTPATH:';\,
                        'notmq' => 1,
                    },
                    # Merge-sparse-join with nulls in keys and data.
                    {
                        'num' => 5,
                        'pig' => q\register :PIGGYBANKJAR:
                                a = load ':INPATH:/singlefile/studentnulltab10k';
                                b = load ':INPATH:/singlefile/voternulltab10k';
                                c = order a by $0;
                                d = order b by $0;
                                store c into ':OUTPATH:.intermediate1';
                                store d into ':OUTPATH:.intermediate2' using org.apache.pig.piggybank.storage.IndexedStorage(',', '0');
                                exec;
                                e = load ':OUTPATH:.intermediate1';
                                f = load ':OUTPATH:.intermediate2' using org.apache.pig.piggybank.storage.IndexedStorage(',', '0');
                                g = join e by $0, f by $0 using 'merge-sparse';
                                store g into ':OUTPATH:';\,
                        'verify_pig_script' => q\a = load ':INPATH:/singlefile/studentnulltab10k';
                                b = load ':INPATH:/singlefile/voternulltab10k';
                                g = join a by $0, b by $0;
                                store g into ':OUTPATH:';\,
                        'notmq' => 1,
                    },
                    # Merge-sparse-join with join on numeric key
                    {
                        'num' => 6,
                        'pig' => q\register :PIGGYBANKJAR:
                                a = load ':INPATH:/singlefile/studenttab10k' as (name:chararray, age:int, gpa:float);
                                b = load ':INPATH:/singlefile/votertab10k'as (name:chararray, age:int, reg:chararray, contrib:float);
                                c = order a by age;
                                d = order b by age;
                                store c into ':OUTPATH:.intermediate1';
                                store d into ':OUTPATH:.intermediate2' using org.apache.pig.piggybank.storage.IndexedStorage(',', '0');
                                exec;
                                e = load ':OUTPATH:.intermediate1'  as (name:chararray, age:int, gpa:float);
                                f = load ':OUTPATH:.intermediate2' using org.apache.pig.piggybank.storage.IndexedStorage(',', '0') as (name:chararray, age:int, reg:chararray, contrib:float);
                                g = join e by age, f by age using 'merge-sparse';
                                store g into ':OUTPATH:';\,
                        'verify_pig_script' => q\a = load ':INPATH:/singlefile/studenttab10k' as (name:chararray, age:int, gpa:float);
                                b = load ':INPATH:/singlefile/votertab10k'as (name:chararray, age:int, reg:chararray, contrib:float);
                                g = join a by age, b by age;
                                store g into ':OUTPATH:';\,
                        'notmq' => 1,
                    }
                ],
            },{
                'name' => 'BugFix',
                'tests' => [
                    {
                        # PIG-2286
                        'num' => 1,
                        'floatpostprocess' => 1,
                        'delimiter' => '	',
                        'pig' => q?A = LOAD ':INPATH:/singlefile/studenttab10k' AS (name, age:double, gpa:double);
                                B = group A all;
                                C = foreach B generate group, flatten(COR(A.age, A.gpa));
                                store C into ':OUTPATH:';?,
                        'verify_pig_script' => q?set pig.exec.nocombiner true
                                A = LOAD ':INPATH:/singlefile/studenttab10k' AS (name, age:double ,gpa:double);
                                B = group A all;
                                C = foreach B generate group, flatten(COR(A.age, A.gpa));
                                store C into ':OUTPATH:';?,
                    }, {
                        # PIG-2286, with 3 inputs to COR
                        'num' => 2,
                        'floatpostprocess' => 1,
                        'delimiter' => '	',
                        'pig' => q?A = LOAD ':INPATH:/singlefile/studenttab10k' AS (name, age:double ,gpa:double);
                                B = foreach A generate age, gpa, gpa*gpa as gpa2;
                                C = group B all;
                                D = foreach C generate group, flatten(COR(B.age, B.gpa, B.gpa2));
                                store D into ':OUTPATH:';?,
                        'verify_pig_script' => q?set pig.exec.nocombiner true
                                A = LOAD ':INPATH:/singlefile/studenttab10k' AS (name, age:double ,gpa:double);
                                B = foreach A generate age, gpa, gpa*gpa as gpa2;
                                C = group B all;
                                D = foreach C generate group, flatten(COR(B.age, B.gpa, B.gpa2));
                                store D into ':OUTPATH:';?,
                    }, {
                        # PIG-2385
                        'num' => 3,
                        'pig_params' => ['-M'],
                        'floatpostprocess' => 1,
                        'delimiter' => '	',
                        'pig' => q?A = LOAD ':INPATH:/singlefile/studenttab10k' AS (name:chararray, age:int,gpa:double);
                                Z = group A all;
                                Z1 = foreach Z generate AVG(A.gpa) as avg;
                                B = foreach A generate name, age, gpa-Z1.avg as diff;
                                STORE B INTO ':OUTPATH:.1';
                                C = DISTINCT B ;
                                store C into ':OUTPATH:.2';?,
                        'verify_pig_script' => q?A = LOAD ':INPATH:/singlefile/studenttab10k' AS (name:chararray, age:int,gpa:double);
                                Z = group A all;
                                Z1 = foreach Z generate AVG(A.gpa) as avg;
                                B = cross A, Z1;
                                B1 = foreach B generate name, age, gpa-Z1.avg as diff;
                                STORE B1 INTO ':OUTPATH:.1';
                                C = DISTINCT B1 ;
                                store C into ':OUTPATH:.2';?,
                    }, {
                        # PIG-2576
                        'num' => 4,
                        'execonly' => 'mapred,tez,spark',
                        'pig' => q?register :FUNCPATH:/testudf.jar;
                                define printconf org.apache.pig.test.udf.evalfunc.UdfContextFrontend('dummy');
                                a = load ':INPATH:/singlefile/studenttab10k' as (name, age, gpa);
                                b = limit a 1;
                                c = foreach b generate printconf(name);
	                        store c into ':OUTPATH:';
                                fs -ls;
                                ?,
                        'rc' => 0,
                        'not_expected_out_regex' => "checkJobConf: conf is null: false",
                        'expected_out_regex' => "checkJobConf: conf is null: true",
                    }, {
                        # PIG-3051
                        'num' => 5,
                        'pig' => q?A = LOAD ':INPATH:/singlefile/votertab10k' AS (name, age, registration, contributions);
                                -- dropping one column to force columnprune
                                B = foreach A generate age, registration,contributions;
                                C = order B by contributions;
                                D = limit C 3;
                                E = foreach D generate contributions;
                                STORE C INTO ':OUTPATH:.1';
                                STORE E INTO ':OUTPATH:.2';?,
                        'verify_pig_script' => q?A = LOAD ':INPATH:/singlefile/votertab10k' AS (name, age, registration, contributions);
                                B = foreach A generate age, registration,contributions;
                                C = order B by contributions;
                                STORE C INTO ':OUTPATH:.1';
                                F = LOAD ':INPATH:/singlefile/votertab10k' AS (name, age, registration, contributions);
                                G = foreach F generate age, registration,contributions;
                                H = order G by contributions;
                                I = limit H 3;
                                J = foreach I generate contributions;
                                STORE J INTO ':OUTPATH:.2';?,
                    }, {
                        # PIG-3641
                        'num' => 6,
                        'pig' => q?A = LOAD ':INPATH:/singlefile/votertab10k' AS (name, age, registration, contributions);
                                -- dropping one column to force columnprune
                                B = foreach A generate name, age, registration;
                                -- Next line is the only difference
                                SPLIT B into C1 if age > 50, C2 otherwise;
                                D1 = foreach C1 generate age, registration;
                                STORE D1 INTO ':OUTPATH:.1';
                                STORE C2 INTO ':OUTPATH:.2';?,
                        'verify_pig_script' => q?A = LOAD ':INPATH:/singlefile/votertab10k' AS (name, age, registration, contributions);
                                -- dropping one column to force columnprune
                                B = foreach A generate name, age, registration;
                                SPLIT B into C1 if age > 50, C2 if age <= 50;
                                D1 = foreach C1 generate age, registration;
                                STORE D1 INTO ':OUTPATH:.1';
                                STORE C2 INTO ':OUTPATH:.2';?,
                    }
                ],
            },{
                'name' => 'Bloom',
			    'execonly' => 'mapred,tez', # distributed cache does not work in local mode, bloom is not implemented for Spark(PIG-5117)
                'tests' => [
                    {
                        'num' => 1,
                        'pig' => "define bb BuildBloom('Hash.JENKINS_HASH', 'fixed', '128', '3');
                                A = LOAD ':INPATH:/singlefile/studenttab10k' AS (name:chararray, age:int, gpa:double);
                                B = filter A by name == 'alice allen';
                                C = group B all;
                                D = foreach C generate bb(B.name);
                                store D into ':HDFSTMP:/mybloom_1';
                                exec;
                                define bloom Bloom(':HDFSTMP:/mybloom_1');
                                E = LOAD ':INPATH:/singlefile/studenttab10k' AS (name:chararray, age:int, gpa:double);
                                F = filter E by bloom(name);
                                store F into ':OUTPATH:';",
                        'notmq' => 1,
                        'verify_pig_script' => "
                                A = LOAD ':INPATH:/singlefile/studenttab10k' AS (name, age:int ,gpa:double);
                                B = filter A by name == 'alice allen';
                                store B into ':OUTPATH:';",
                    }, {
                        'num' => 2,
                        'pig' => "define bb BuildBloom('Hash.MURMUR_HASH', 'fixed', '128', '3');
                                A = LOAD ':INPATH:/singlefile/studenttab10k' AS (name:chararray, age:int, gpa:double);
                                B = filter A by name == 'alice allen';
                                C = group B all;
                                D = foreach C generate bb(B.name);
                                store D into ':HDFSTMP:/mybloom_2';
                                exec;
                                define bloom Bloom(':HDFSTMP:/mybloom_2');
                                E = LOAD ':INPATH:/singlefile/studenttab10k' AS (name:chararray, age:int, gpa:double);
                                F = filter E by bloom(name);
                                G = load ':INPATH:/singlefile/votertab10k'as (name:chararray, age:int, reg:chararray, contrib:float);
                                H = join F by name, G by name;
                                store H into ':OUTPATH:';",
                        'notmq' => 1,
                        'verify_pig_script' => "
                                A = LOAD ':INPATH:/singlefile/studenttab10k' AS (name, age:int ,gpa:double);
                                B = filter A by name == 'alice allen';
                                C = load ':INPATH:/singlefile/votertab10k'as (name:chararray, age:int, reg:chararray, contrib:float);
                                D = join B by name, C by name;
                                store D into ':OUTPATH:';",
                    },{
                        'num' => 3,
                        'pig' => "define bb BuildBloom('Hash.JENKINS_HASH', '1', '0.0001');
                                A = LOAD ':INPATH:/singlefile/studenttab10k' AS (name:chararray, age:int, gpa:double);
                                B = filter A by name == 'alice allen';
                                C = group B all;
                                D = foreach C generate bb(B.name);
                                store D into ':HDFSTMP:/mybloom_3';
                                exec;
                                define bloom Bloom(':HDFSTMP:/mybloom_3');
                                E = LOAD ':INPATH:/singlefile/studenttab10k' AS (name:chararray, age:int, gpa:double);
                                F = filter E by bloom(name);
                                G = load ':INPATH:/singlefile/votertab10k'as (name:chararray, age:int, reg:chararray, contrib:float);
                                H = join G by name, F by name using 'repl';
                                store H into ':OUTPATH:';",
                        'notmq' => 1,
                        'verify_pig_script' => "
                                A = LOAD ':INPATH:/singlefile/studenttab10k' AS (name, age:int ,gpa:double);
                                B = filter A by name == 'alice allen';
                                C = load ':INPATH:/singlefile/votertab10k'as (name:chararray, age:int, reg:chararray, contrib:float);
                                D = join C by name, B by name;
                                store D into ':OUTPATH:';",
                    },{
                        'num' => 4,
                        'pig' => "set pig.optimizer.rules.disabled PushUpFilter;
                                define bb BuildBloom('Hash.JENKINS_HASH', 'fixed', '128', '3');
                                A = LOAD ':INPATH:/singlefile/studenttab10k' AS (name:chararray, age:int, gpa:double);
                                B = filter A by name == 'alice allen';
                                C = group B all;
                                D = foreach C generate bb(B.name);
                                store D into ':HDFSTMP:/mybloom_4';
                                exec;
                                define bloom Bloom(':HDFSTMP:/mybloom_4');
                                E = LOAD ':INPATH:/singlefile/studenttab10k' AS (name:chararray, age:int, gpa:double);
                                F = LOAD ':INPATH:/singlefile/studenttab10k' AS (name:chararray, age:int, gpa:double);
                                G = union E, F;
                                -- PushUpFilter is disabled to avoid filter being pushed before union
                                H = filter G by bloom(name);
                                store H into ':OUTPATH:';",
                        'notmq' => 1,
                        'verify_pig_script' => "
                                A = LOAD ':INPATH:/singlefile/studenttab10k' AS (name, age:int ,gpa:double);
                                B = LOAD ':INPATH:/singlefile/studenttab10k' AS (name, age:int ,gpa:double);
                                C = UNION A,B;
                                D = filter C by name == 'alice allen';
                                store D into ':OUTPATH:';",
                    },{
                        'num' => 5,
                        'pig' => "set pig.optimizer.rules.disabled PushUpFilter;
                                define bb BuildBloom('Hash.JENKINS_HASH', 'fixed', '128', '3');
                                A = LOAD ':INPATH:/singlefile/studenttab10k' AS (name:chararray, age:int, gpa:double);
                                B = filter A by name == 'alice allen';
                                C = group B all;
                                D = foreach C generate bb(B.name) as bloomfilter;
                                E = LOAD ':INPATH:/singlefile/studenttab10k' AS (name:chararray, age:int, gpa:double);
                                F = LOAD ':INPATH:/singlefile/studenttab10k' AS (name:chararray, age:int, gpa:double);
                                G = union E, F;
                                -- PushUpFilter is disabled to avoid filter being pushed before union
                                H = filter G by Bloom(D.bloomfilter, name);
                                store H into ':OUTPATH:';",
                        'verify_pig_script' => "
                                A = LOAD ':INPATH:/singlefile/studenttab10k' AS (name, age:int ,gpa:double);
                                B = LOAD ':INPATH:/singlefile/studenttab10k' AS (name, age:int ,gpa:double);
                                C = UNION A,B;
                                D = filter C by name == 'alice allen';
                                store D into ':OUTPATH:';",
                    }
                ],
            },{
                'name' => 'UDFContext',
                'tests' => [
                    {
                        # See PIG-2338
                        'num' => 1,
                        'pig' => q?register :FUNCPATH:/testudf.jar
                                a = load ':INPATH:/singlefile/studenttab10k' AS (a0);
                                b = foreach a generate org.apache.pig.test.udf.evalfunc.UDFContextTestUDF(a0);
                                c = load ':INPATH:/singlefile/studenttab10k' AS (c0:chararray);
                                d = foreach c generate org.apache.pig.test.udf.evalfunc.UDFContextTestUDF(c0);
                                e = union b, d;
                                store e into ':OUTPATH:';?,
                        'verify_pig_script' => q?a = load ':INPATH:/singlefile/studenttab10k' AS (a0);
                                b = foreach a generate '{a0: bytearray}';
                                c = load ':INPATH:/singlefile/studenttab10k' AS (c0:chararray);
                                d = foreach c generate '{c0: chararray}';
                                e = union b, d;
                                store e into ':OUTPATH:';?,
                    }
                ], 
                
               },{
                'name' => 'UDFContextAuto',
                'tests' => [
                    {
                        # See PIG-2337
                        'num' => 1,
                        'pig' => q?register :FUNCPATH:/testudf.jar
                                a = load ':INPATH:/singlefile/studenttab10k' AS (a0);
                                b = foreach a generate org.apache.pig.test.udf.evalfunc.UDFContextTestUDF(a0);
                                c = load ':INPATH:/singlefile/studenttab10k' AS (c0:chararray);
                                d = foreach c generate org.apache.pig.test.udf.evalfunc.UDFContextTestUDF(c0);
                                e = union b, d;
                                store e into ':OUTPATH:';?,
                        'verify_pig_script' => q?a = load ':INPATH:/singlefile/studenttab10k' AS (a0);
                                b = foreach a generate '{a0: bytearray}';
                                c = load ':INPATH:/singlefile/studenttab10k' AS (c0:chararray);
                                d = foreach c generate '{c0: chararray}';
                                e = union b, d;
                                store e into ':OUTPATH:';?,
                    }
                ],
            },{
                'name' => 'JsonLoaderStorage',
                'tests' => [
                    {
                        'num' => 1,
                        'pig' => q?A = LOAD ':INPATH:/singlefile/studenttab10k' AS (name:chararray, age:int, gpa:double);
                                store A into ':OUTPATH:.intermediate' using JsonStorage();
                                exec
                                A = LOAD ':OUTPATH:.intermediate' using JsonLoader();
                                store A into ':OUTPATH:';?,
                        'notmq' => 1,
                        'verify_pig_script' => q?A = LOAD ':INPATH:/singlefile/studenttab10k' AS (name:chararray, age:int,gpa:double);
                                store A into ':OUTPATH:';?,
                    }, {
                        'num' => 2,
                        'pig' => q?A = LOAD ':INPATH:/singlefile/studenttab10k' AS (name:chararray, age:int, gpa:double);
                                store A into ':OUTPATH:.intermediate1' using JsonStorage();
                                B = LOAD ':INPATH:/singlefile/votertab10k' AS (name:chararray, age:int, registration:chararray, contributions:double);
                                store B into ':OUTPATH:.intermediate2' using JsonStorage();
                                exec
                                A = LOAD ':OUTPATH:.intermediate1' using JsonLoader();
                                B = LOAD ':OUTPATH:.intermediate2' using JsonLoader();
                                C = JOIN A by name, B by name;
                                store C into ':OUTPATH:';?,
                        'notmq' => 1,
                        'verify_pig_script' => q?A = LOAD ':INPATH:/singlefile/studenttab10k' AS (name:chararray, age:int,gpa:double);
                                B = LOAD ':INPATH:/singlefile/votertab10k' AS (name:chararray, age:int, registration:chararray, contributions:double);
                                C = JOIN A by name, B by name;
                                store C into ':OUTPATH:';?,
                    }, {
                        'num' => 3,
                        'ignore' => 1, # PIG-2594
			'pig' => q\a = load ':INPATH:/singlefile/allscalar10k' using PigStorage() as (name:chararray, age:int, gpa:double, instate:boolean);
                                store a into ':OUTPATH:.intermediate' using JsonStorage();
                                exec
                                B = LOAD ':OUTPATH:.intermediate' using JsonLoader();
                                store B into ':OUTPATH:';\,
                        'notmq' => 1,
                        'verify_pig_script' => q\a = load ':INPATH:/singlefile/allscalar10k' using PigStorage() as (name:chararray, age:int, gpa:double, instate:chararray);
store a into ':OUTPATH:';\,
                     }

                ],
            },{
                'name' => 'STRSPLIT',
                'tests' => [
                    {
                        # See PIG-2311
                        'num' => 1,
                        'pig' => q?a = load ':INPATH:/singlefile/studenttab10k' AS (a0);
                        		b= filter a by NOT (a0 is null);
                        		c= foreach b generate STRSPLIT(a0);
                                store c into ':OUTPATH:';?,
                        'verify_pig_script' => q?a = load ':INPATH:/singlefile/studenttab10k' AS (a0);
                        		b= filter a by NOT (a0 is null);
                        		b= foreach b generate (chararray)a0 as a0 ;
                        		c= foreach b generate STRSPLIT(a0);
                                store c into ':OUTPATH:';?,
                    }
                ],
            },
        {
		'name' => 'Tokenize',
		'tests' => [
			{
                'num' => 1,
                'pig' => q\
                        A = LOAD ':INPATH:/singlefile/studenttab10k';
                        B = foreach A generate TOKENIZE($0);
                        store B into ':OUTPATH:';\,
            },
            {
                'num' => 2,
                'pig' => q\
                        A = LOAD ':INPATH:/singlefile/studenttab10k';
                        B = foreach A generate TOKENIZE($1,'9');
                        store B into ':OUTPATH:';\,
                'verify_pig_script' => q\
                        A = LOAD ':INPATH:/singlefile/studenttab10k';
                        -- TOKENIZE has tokens hardcoded so have to replace the '9' with
                        -- one of the hardcoded tokens
                        B = foreach A generate TOKENIZE(REPLACE($1, '9', ','));
                        store B into ':OUTPATH:';\,
}
            ]
        }, {
		'name' => 'Realias',
		'tests' => [
			{
                'num' => 1,
                'pig' => q\
                        A = LOAD ':INPATH:/singlefile/studenttab10k';
                        B = A;
                        store B into ':OUTPATH:';\,
                'verify_pig_script' => q\
                        A = LOAD ':INPATH:/singlefile/studenttab10k';
                        store A into ':OUTPATH:';\,
                    }
                ]
            },
            {
 		'name' => 'NestedForEach',
 		'tests' => [
 			{
                 'num' => 1,
                 'pig' => q\
                        A = LOAD ':INPATH:/singlefile/studenttab10k' as (name:chararray, age:int, gpa:double);
                        B = group A by name;
                        C = foreach B {
                            C1 = foreach A generate UPPER(name), age+1 as age, gpa;
                            generate C1;
                        }
                        D = foreach C generate flatten(C1);
                        store D into ':OUTPATH:';\,
                'verify_pig_script' => q\
                        A = LOAD ':INPATH:/singlefile/studenttab10k' as (name:chararray, age:int, gpa:double);
                        B = foreach A generate UPPER(name), age+1, gpa;
                        store B into ':OUTPATH:';\,
            },
            {
                'num' => 2,
                'pig' => q\
                        A = LOAD ':INPATH:/singlefile/studenttab10k' as (name:chararray, age:int, gpa:double);;
                        B = group A by name;
                        C = foreach B {
                            C1 = A.age;
                            C2 = filter C1 by age>=30;
                            C3 = foreach C2 generate age+1 as age;
                            C4 = order C3 by age desc;
                            generate C4;
                        }
                        D = foreach C generate flatten(C4);
                        store D into ':OUTPATH:';\,
                'verify_pig_script' => q\
                        A = LOAD ':INPATH:/singlefile/studenttab10k' as (name:chararray, age:int, gpa:double);
                        B = filter A by age>=30;
                        C = foreach B generate age+1 as age;
                        D = order C by age desc;
                        store D into ':OUTPATH:';\,
            }
            ]
        },
        {
		'name' => 'BagToTuple',
		'tests' => [
			{
			# basic test of converting bag to tuples.  Use the first and last tuple in the bag b
			'num' => 1,
			'pig' => q\
                    a = load ':INPATH:/singlefile/studentcomplextab10k' using PigStorage() as (m:[], t:(name:chararray, age:int, gpa:double), b:{t:(name:chararray, age:int, gpa:double)});
                    filterA = filter a by b is not null and COUNT(b) > 1;
                    b = foreach filterA  {
						   order_desc = order b by age desc;
						   limit_desc = limit order_desc 1;
						   order_asc = order b by age asc;
						   limit_asc = limit order_asc 1;
						   generate FLATTEN(limit_desc), FLATTEN(limit_asc);
					};
					c = foreach b generate TOTUPLE(limit_desc::name, limit_desc::age, limit_desc::gpa) as first_t, 
					                       TOTUPLE(limit_asc::name, limit_asc::age, limit_asc::gpa) as second_t;
					d = foreach c generate TOBAG(first_t, second_t) as n_bag;
					e = foreach d generate BagToTuple(n_bag);
                    store e into ':OUTPATH:';\,	
          	'verify_pig_script' => q\
                    a = load ':INPATH:/singlefile/studentcomplextab10k' using PigStorage() as (m:[], t:(name:chararray, age:int, gpa:double), b:{t:(name:chararray, age:int, gpa:double)});
	                filterA = filter a by b is not null and COUNT(b) > 1;
                    b = foreach filterA  {
						   order_desc = order b by age desc;
						   limit_desc = limit order_desc 1;
						   order_asc = order b by age asc;
						   limit_asc = limit order_asc 1;
						   generate FLATTEN(limit_desc), FLATTEN(limit_asc);
					};
					c = foreach b generate TOTUPLE(limit_desc::name, limit_desc::age, limit_desc::gpa, limit_asc::name,limit_asc::age, limit_asc::gpa) as big_t;					
                    store c into ':OUTPATH:';\,	  
			},
			{
			# covert an existing tuple to bag and use the output of BagToTuple
		    'num' => 2,
		    'pig' => q\
		             a = load ':INPATH:/singlefile/studentcomplextab10k' using PigStorage() as (m:[], t:(name:chararray, age:int, gpa:double), b:{t:(name:chararray, age:int, gpa:double)});
		             b = filter a by t is not null;
	                 c = foreach b generate TOBAG(t) as newBag;
	                 d = foreach c generate BagToTuple(newBag);
	                 store d into ':OUTPATH:';\,
			 'verify_pig_script' => q\
	                 a = load ':INPATH:/singlefile/studentcomplextab10k' using PigStorage() as (m:[], t:(name:chararray, age:int, gpa:double), b:{t:(name:chararray, age:int, gpa:double)});
	                 b = filter a by t is not null;
	                 c = foreach b generate t;
			         store c into ':OUTPATH:';\,
			},
		    ]
		},
        {
		'name' => 'BagToString',
		'tests' => [
			{
			'num' => 1,
			'pig' => q\
                     a = load ':INPATH:/singlefile/studentcomplextab10k' using PigStorage() as (m:[], t:(name:chararray, age:int, gpa:double), b:{t:(name:chararray, age:int, gpa:double)});
	                 filterA = filter a by b is not null and COUNT(b) > 1;
                     b = foreach filterA  {
						   order_desc = order b by age desc;
						   limit_desc = limit order_desc 1;
						   order_asc = order b by age asc;
						   limit_asc = limit order_asc 1;
						   generate FLATTEN(limit_desc), FLATTEN(limit_asc);
					 };
					 c = foreach b generate TOTUPLE(limit_desc::name, limit_desc::age, limit_desc::gpa) as first_t, 
					                        TOTUPLE(limit_asc::name, limit_asc::age, limit_asc::gpa) as second_t;
					 d = foreach c generate TOBAG(first_t, second_t) as n_bag;
					 e = foreach d generate BagToString(n_bag);
                     store e into ':OUTPATH:';\,
		     'verify_pig_script' => q\
                    a = load ':INPATH:/singlefile/studentcomplextab10k' using PigStorage() as (m:[], t:(name:chararray, age:int, gpa:double), b:{t:(name:chararray, age:int, gpa:double)});
	                filterA = filter a by b is not null and COUNT(b) > 1;
                    b = foreach filterA  {
						   order_desc = order b by age desc;
						   limit_desc = limit order_desc 1;
						   order_asc = order b by age asc;
						   limit_asc = limit order_asc 1;
						   generate FLATTEN(limit_desc), FLATTEN(limit_asc);
					};
					c = foreach b generate CONCAT(limit_desc::name, CONCAT('_', CONCAT((chararray)limit_desc::age, CONCAT('_', CONCAT((chararray)limit_desc::gpa, CONCAT('_',CONCAT(limit_asc::name,CONCAT('_',CONCAT((chararray)limit_asc::age, CONCAT('_',(chararray)limit_asc::gpa)))))))))) as big_t;
                    store c into ':OUTPATH:';\,             		    
			},
			{ 
			'num' => 2,
			'pig' => q\
	             a = load ':INPATH:/singlefile/studentcomplextab10k' using PigStorage() as (m:[], t:(name:chararray, age:int, gpa:double), b:{t:(name:chararray, age:int, gpa:double)});
	             b = filter a by t is not null;
                 c = foreach b generate TOBAG(t) as newBag;
                 d = foreach c generate BagToString(newBag);
                 store d into ':OUTPATH:';\,
		    'verify_pig_script' => q\
                 a = load ':INPATH:/singlefile/studentcomplextab10k' using PigStorage() as (m:[], t:(name:chararray, age:int, gpa:double), b:{t:(name:chararray, age:int, gpa:double)});
                 b = filter a by t is not null;
                 c = foreach b generate CONCAT(t.name, CONCAT('_', CONCAT((chararray)t.age, CONCAT('_', (chararray)t.gpa))));
		         store c into ':OUTPATH:';\,
			},
		    ]
		},
        {
		'name' => 'NestedCross',
		'tests' => [
			{
                'num' => 1,
                'pig' => q\
                        A = LOAD ':INPATH:/singlefile/studenttab10k' as (name:chararray, age:int, gpa:double);
                        B = LOAD ':INPATH:/singlefile/votertab10k' as (name:chararray, age:int, registration, contributions:double);
                        C = cogroup A by name, B by name;
                        D = foreach C {
                            C1 = cross A, B;
                            generate flatten(C1);
                        }
                        store D into ':OUTPATH:';\,
                'verify_pig_script' => q\
                        A = LOAD ':INPATH:/singlefile/studenttab10k' as (name:chararray, age:int, gpa:double);
                        B = LOAD ':INPATH:/singlefile/votertab10k' as (name:chararray, age:int, registration, contributions:double);
                        C = JOIN A by name, B by name;
                        store C into ':OUTPATH:';\,
                        },
			{
                'num' => 2,
                'pig' => q\
                        A = LOAD ':INPATH:/singlefile/studenttab10k' as (name:chararray, age:int, gpa:double);
                        B = LOAD ':INPATH:/singlefile/votertab10k' as (name:chararray, age:int, registration, contributions:double);
                        C = cogroup A by name, B by name;
                        D = foreach C {
                            C1 = filter A by gpa > 4;
                            C2 = filter B by contributions > 500;
                            C3 = cross C1, C2;
                            C4 = foreach C3 generate CONCAT(CONCAT((chararray)gpa, '_'), (chararray)contributions);
                            generate flatten(C4);
                        }
                        store D into ':OUTPATH:';\,
                'verify_pig_script' => q\
                        A = LOAD ':INPATH:/singlefile/studenttab10k' as (name:chararray, age:int, gpa:double);
                        B = LOAD ':INPATH:/singlefile/votertab10k' as (name:chararray, age:int, registration, contributions:double);
                        C = filter A by gpa > 4;
                        D = filter B by contributions > 500;
                        E = JOIN C by name, D by name;
                        F = foreach E generate CONCAT(CONCAT((chararray)gpa, '_'), (chararray)contributions);
                        store F into ':OUTPATH:';\,
                        }
                ]
            },
            {
                'name' => 'Rank',
                'tests' => [
                    {
                        'num' => 1,
                        'execonly' => 'mapred,tez,spark',
                        'pig' => q\
                                    SET default_parallel 7;
                                    SET mapreduce.input.fileinputformat.split.maxsize '300';
                                    SET pig.splitCombination false;
                                    A = LOAD ':INPATH:/singlefile/prerank' using PigStorage(',') as (rownumber:long,rankcabd:long,rankbdaa:long,rankbdca:long,rankaacd:long,rankaaba:long,a:int,b:int,c:int);
                                    B = rank A;
                                    C = foreach B generate rank_A,a,b,c;
                                    store C into ':OUTPATH:';
                                \,
                        'verify_pig_script' => q\
                                    A = LOAD ':INPATH:/singlefile/prerank' using PigStorage(',') as (rownumber:long,rankcabd:long,rankbdaa:long,rankbdca:long,rankaacd:long,rankaaba:long,a:int,b:int,c:int);
                                    C = foreach A generate rownumber,a,b,c;
                                    store C into ':OUTPATH:';
                                \,
                    }, {
                        'num' =>2,
                        'execonly' => 'mapred,tez,spark',
                        'pig' => q\
                                    SET default_parallel 9;
                                    SET mapreduce.input.fileinputformat.split.maxsize '300';
                                    SET pig.splitCombination false;
                                    A = LOAD ':INPATH:/singlefile/prerank' using PigStorage(',') as (rownumber:long,rankcabd:long,rankbdaa:long,rankbdca:long,rankaacd:long,rankaaba:long,a:int,b:int,c:int);
                                    B = rank A by b DESC,a ASC;
                                    C = foreach B generate rank_A,b,a;
                                    store C into ':OUTPATH:';
                                \,
                        'verify_pig_script' => q\
                                    A = LOAD ':INPATH:/singlefile/prerank' using PigStorage(',') as (rownumber:long,rankcabd:long,rankbdaa:long,rankbdca:long,rankaacd:long,rankaaba:long,a:int,b:int,c:int);
                                    C = foreach A generate rankbdaa,b,a;
                                    store C into ':OUTPATH:';
                                \,
                    }, {
                        'num' =>3,
                        'execonly' => 'mapred,tez,spark',
                        'pig' => q\
                                    SET default_parallel 7;
                                    SET mapreduce.input.fileinputformat.split.maxsize '300';
                                    SET pig.splitCombination false;
                                    A = LOAD ':INPATH:/singlefile/prerank' using PigStorage(',') as (rownumber:long,rankcabd:long,rankbdaa:long,rankbdca:long,rankaacd:long,rankaaba:long,a:int,b:int,c:int);
                                    B = rank A by c ASC,b DESC;
                                    C = foreach B generate rank_A,c,b;
                                    store C into ':OUTPATH:';
                                \,
                        'verify_pig_script' => q\
                                    A = LOAD ':INPATH:/singlefile/prerank' using PigStorage(',') as (rownumber:long,rankcabd:long,rankbdaa:long,rankbdca:long,rankaacd:long,rankaaba:long,a:int,b:int,c:int);
                                    C = foreach A generate rankcabd,c,b;
                                    store C into ':OUTPATH:';
                                \,
                    }, {
                        'num' => 4,
                        'execonly' => 'mapred,tez,spark',
                        'pig' => q\
                                    SET default_parallel 5;
                                    SET mapreduce.input.fileinputformat.split.maxsize '300';
                                    SET pig.splitCombination false;
                                    A = LOAD ':INPATH:/singlefile/prerank' using PigStorage(',') as (rownumber:long,rankcabd:long,rankbdaa:long,rankbdca:long,rankaacd:long,rankaaba:long,a:int,b:int,c:int);
                                    B = rank A;
                                    C = order B by rank_A;
                                    D = foreach C generate rank_A,a,b,c;
                                    store D into ':OUTPATH:';
                                \,
                        'verify_pig_script' => q\
                                    A = LOAD ':INPATH:/singlefile/prerank' using PigStorage(',') as (rownumber:long,rankcabd:long,rankbdaa:long,rankbdca:long,rankaacd:long,rankaaba:long,a:int,b:int,c:int);
                                    D = foreach A generate rownumber,a,b,c;
                                    store D into ':OUTPATH:';
                                \,
                    }, {
                        'num' => 5,
                        'execonly' => 'mapred,tez,spark',
                        'pig' => q\
                                    SET default_parallel 5;
                                    SET mapreduce.input.fileinputformat.split.maxsize '300';
                                    SET pig.splitCombination false;
                                    A = LOAD ':INPATH:/singlefile/prerank' using PigStorage(',') as (rownumber:long,rankcabd:long,rankbdaa:long,rankbdca:long,rankaacd:long,rankaaba:long,a:int,b:int,c:int);
                                    B = LOAD ':INPATH:/singlefile/prerank' using PigStorage(',') as (rownumber:long,rankcabd:long,rankbdaa:long,rankbdca:long,rankaacd:long,rankaaba:long,a:int,b:int,c:int);
                                    C = join A by rownumber, B by rownumber;
                                    D = order C by B::rankcabd,B::rankbdca,B::rankaaba;
                                    E = rank D;
                                    F = group E by rank_D;
                                    G = foreach F generate group, COUNT(E);
                                    H = order G by group;
                                    store H into ':OUTPATH:';
                                \,
                        'verify_pig_script' => q\
                                    A = LOAD ':INPATH:/singlefile/prerank' using PigStorage(',') as (rownumber:long,idx:long);
                                    B = foreach A generate rownumber,1;
                                    C = order B by rownumber;
                                    store C into ':OUTPATH:';
                                \,
                    }, {
                        'num' => 6,
                        'execonly' => 'mapred,tez,spark',
                        'pig' => q\
                                    SET mapreduce.input.fileinputformat.split.maxsize '300';
                                    SET pig.splitCombination false;
                                    A = LOAD ':INPATH:/singlefile/prerank' using PigStorage(',') as (rownumber:long,rankcabd:long,rankbdaa:long,rankbdca:long,rankaacd:long,rankaaba:long,a:int,b:int,c:int);
                                    split A into M if rownumber > 15, N if rownumber < 25;
                                    C = rank N;
                                    D = foreach C generate $0, a, b, c;
                                    store D into ':OUTPATH:';
                                \,
                        'verify_pig_script' => q\
                                    A = LOAD ':INPATH:/singlefile/prerank' using PigStorage(',') as (rownumber:long,rankcabd:long,rankbdaa:long,rankbdca:long,rankaacd:long,rankaaba:long,a:int,b:int,c:int);
                                    B = filter A by rownumber < 25;
                                    D = foreach B generate rownumber, a, b, c;
                                    store D into ':OUTPATH:';
                                \,
                    }
                    ]
            },
            {
                'name' => 'Rank_Dense',
                'tests' => [
                    {
						'num' => 1,
						'execonly' => 'mapred,tez,spark',
						'pig' => q\
                                                                        SET mapreduce.input.fileinputformat.split.maxsize '300';
                                                                        SET pig.splitCombination false;
									SET default_parallel 9;
									A = LOAD ':INPATH:/singlefile/prerank' using PigStorage(',') as (rownumber:long,rankcabd:long,rankbdaa:long,rankbdca:long,rankaacd:long,rankaaba:long,a:int,b:int,c:int);
									B = rank A by a ASC,b ASC DENSE;
									C = foreach B generate rank_A,a,b;
									store C into ':OUTPATH:';
								\,
						'verify_pig_script' => q\
									A = LOAD ':INPATH:/singlefile/prerank' using PigStorage(',') as (rownumber:long,rankcabd:long,rankbdaa:long,rankbdca:long,rankaacd:long,rankaaba:long,a:int,b:int,c:int);
									C = foreach A generate rankaaba,a,b;
									store C into ':OUTPATH:';
								\,
					}, {
						'num' => 2,
						'execonly' => 'mapred,tez,spark',
						'pig' => q\
                                                                        SET mapreduce.input.fileinputformat.split.maxsize '300';
                                                                        SET pig.splitCombination false;
									SET default_parallel 9;
									A = LOAD ':INPATH:/singlefile/prerank' using PigStorage(',') as (rownumber:long,rankcabd:long,rankbdaa:long,rankbdca:long,rankaacd:long,rankaaba:long,a:int,b:int,c:int);
									B = rank A by a ASC,c DESC DENSE;
									C = foreach B generate rank_A,a,c;
									store C into ':OUTPATH:';
								\,
						'verify_pig_script' => q\
									A = LOAD ':INPATH:/singlefile/prerank' using PigStorage(',') as (rownumber:long,rankcabd:long,rankbdaa:long,rankbdca:long,rankaacd:long,rankaaba:long,a:int,b:int,c:int);
									C = foreach A generate rankaacd,a,c;
									store C into ':OUTPATH:';
								\,
					}, {
						'num' => 3,
						'execonly' => 'mapred,tez,spark',
						'pig' => q\
                                                                        SET mapreduce.input.fileinputformat.split.maxsize '300';
                                                                        SET pig.splitCombination false;
									SET default_parallel 7;
									A = LOAD ':INPATH:/singlefile/prerank' using PigStorage(',') as (rownumber:long,rankcabd:long,rankbdaa:long,rankbdca:long,rankaacd:long,rankaaba:long,a:int,b:int,c:int);
									B = rank A by b DESC,c ASC DENSE;
									C = foreach B generate rank_A,b,c;
									store C into ':OUTPATH:';
								\,
						'verify_pig_script' => q\
									A = LOAD ':INPATH:/singlefile/prerank' using PigStorage(',') as (rownumber:long,rankcabd:long,rankbdaa:long,rankbdca:long,rankaacd:long,rankaaba:long,a:int,b:int,c:int);
									C = foreach A generate rankbdca,b,c;
									store C into ':OUTPATH:';
								\,
					}, {
						'num' => 4,
						'execonly' => 'mapred,tez,spark',
						'pig' => q\
                                                                        SET mapreduce.input.fileinputformat.split.maxsize '300';
                                                                        SET pig.splitCombination false;
									SET default_parallel 7;
									A = LOAD ':INPATH:/singlefile/prerank' using PigStorage(',') as (rownumber:long,rankcabd:long,rankbdaa:long,rankbdca:long,rankaacd:long,rankaaba:long,a:int,b:int,c:int);
									B = foreach A generate a,b,c;
									C = rank B by a ASC,b ASC DENSE;
									D = rank C by a ASC,c DESC DENSE;
									E = rank D by b DESC,c ASC DENSE;
									F = foreach E generate rank_D,rank_C,rank_B,a,b,c;
									store F into ':OUTPATH:';
								\,
						'verify_pig_script' => q\
									A = LOAD ':INPATH:/singlefile/prerank' using PigStorage(',') as (rownumber:long,rankcabd:long,rankbdaa:long,rankbdca:long,rankaacd:long,rankaaba:long,a:int,b:int,c:int);
									B = foreach A generate rankbdca,rankaacd,rankaaba,a,b,c;
									store B into ':OUTPATH:';
								\,
					}, {
						'num' => 5,
						'execonly' => 'mapred,tez,spark',
						'pig' => q\
									SET default_parallel 9;
                                                                        SET mapreduce.input.fileinputformat.split.maxsize '300';
									SET pig.splitCombination false;
									A = LOAD ':INPATH:/singlefile/prerank' using PigStorage(',') as (rownumber:long,rankcabd:long,rankbdaa:long,rankbdca:long,rankaacd:long,rankaaba:long,a:int,b:int,c:int);
									B = foreach A generate a,b,c;
									C = rank B by a ASC,b ASC DENSE;
									D = rank B by a ASC,c DESC DENSE;
									F = join C by $0, D by $0;
									G = foreach F generate C::rank_B, D::rank_B, C::a, C::b, C::c;
									H = order G by a ASC, b ASC, c DESC;
									store H into ':OUTPATH:';
								\,
						'verify_pig_script' => q\
									A = LOAD ':INPATH:/singlefile/prerank' using PigStorage(',') as (rownumber:long,rankcabd:long,rankbdaa:long,rankbdca:long,rankaacd:long,rankaaba:long,a:int,b:int,c:int);
									C = foreach A generate rankaaba,a,b,c;
									E = order C by a ASC,b ASC;
									D = foreach A generate rankaacd,a,b,c;
									F = order D by a ASC,c DESC;
									G = join E by $0, F by $0;
									H = foreach G generate E::rankaaba, F::rankaacd, E::a, E::b, E::c;
									store H into ':OUTPATH:';
								\,
					}
                ]
            },
            {
                'name' => 'HiveUDF',
                'tests' => [
                        {
                # HiveUDF extends UDF
                'num' => 1,
                'pig' => q\
                        define sin HiveUDF('sin');
                        A = LOAD ':INPATH:/singlefile/studenttab10k' as (name:chararray, age:int, gpa:double);
                        B = foreach A generate sin(gpa);
                        store B into ':OUTPATH:';\,
                'verify_pig_script' => q\
                        A = LOAD ':INPATH:/singlefile/studenttab10k' as (name:chararray, age:int, gpa:double);
                        B = foreach A generate SIN(gpa);
                        store B into ':OUTPATH:';\,
                        },
                        {
                # HiveUDF extends GenericUDF
                'num' => 2,
                'pig' => q\
                        define upper HiveUDF('upper');
                        A = LOAD ':INPATH:/singlefile/studenttab10k' as (name:chararray, age:int, gpa:double);
                        B = foreach A generate upper(name);
                        store B into ':OUTPATH:';\,
                'verify_pig_script' => q\
                        A = LOAD ':INPATH:/singlefile/studenttab10k' as (name:chararray, age:int, gpa:double);
                        B = foreach A generate UPPER(name);
                        store B into ':OUTPATH:';\,
                        },
                        {
                # HiveUDTF
                'num' => 3,
                'pig' => q\
                        define explode HiveUDTF('explode');
                        A = LOAD ':INPATH:/singlefile/studenttab10k' as (name:chararray, age:chararray, gpa:chararray);
                        B = foreach A generate TOBAG(name, age, gpa) as b;
                        C = foreach B generate flatten(explode(b));
                        store C into ':OUTPATH:';\,
                'verify_pig_script' => q\
                        A = LOAD ':INPATH:/singlefile/studenttab10k' as (name:chararray, age:chararray, gpa:chararray);
                        B = foreach A generate TOBAG(name, age, gpa) as b;
                        C = foreach B generate flatten(b);
                        store C into ':OUTPATH:';\,
                        },
                        {
                # HiveUDAF extends GenericUDAF, with null handling
                'num' => 4,
                'pig' => q\
                        define avg HiveUDAF('avg');
                        A = LOAD ':INPATH:/singlefile/studentnulltab10k' as (name:chararray, age:int, gpa:double);
                        B = group A by name;
                        C = foreach B generate group, avg(A.age);
                        store C into ':OUTPATH:';\,
                'verify_pig_script' => q\
                        A = LOAD ':INPATH:/singlefile/studentnulltab10k' as (name:chararray, age:int, gpa:double);
                        B = group A by name;
                        C = foreach B generate group, AVG(A.age);
                        store C into ':OUTPATH:';\,
                        },
                        {
                # HiveUDAF extends UDAF
                'num' => 5,
                'pig' => q\
                        define percentile HiveUDAF('percentile');
                        A = load ':INPATH:/singlefile/studenttab10k' as (name:chararray, age:long, gpa:double);
                        B = foreach A generate name, age, 0.5 as perc;
                        C = group B by name;
                        D = foreach C generate group, percentile(B.(age, perc));
                        store D into ':OUTPATH:';\,
                'verify_pig_script' => q\
                        register :FUNCPATH:/datafu.jar
                        define Quartile datafu.pig.stats.Quantile('0.5');
                        A = LOAD ':INPATH:/singlefile/studenttab10k' as (name:chararray, age:long, gpa:double);
                        B = group A by name;
                        C = foreach B {
                            sorted = order A by age;
                            generate group, flatten(Quartile(sorted.age));
                        }
                        store C into ':OUTPATH:';\,
                        },
                        {
                # Constant folding and ship jars
                'num' => 6,
                'pig' => q#
                        sh echo -e "zach young\nzach zipper" > names.txt
                        define in_file HiveUDF('in_file', '(null, "names.txt")');
                        A = load ':INPATH:/singlefile/studenttab10k' as (name:chararray, age:long, gpa:double);
                        B = foreach A generate in_file(name, 'names.txt');
                        store B into ':OUTPATH:';#,
                'verify_pig_script' => q#register :PIGGYBANKJAR:
                        sh echo -e "zach young\nzach zipper" > names.txt
                        rmf :INPATH:/singlefile/names.txt
                        fs -put names.txt :INPATH:/singlefile/names.txt
                        define LookupInFiles org.apache.pig.piggybank.evaluation.string.LookupInFiles();
                        A = LOAD ':INPATH:/singlefile/studenttab10k' as (name:chararray, age:long, gpa:double);
                        B = foreach A generate LookupInFiles(name, ':INPATH:/singlefile/names.txt');
                        C = foreach B generate (boolean)$0;
                        store C into ':OUTPATH:';
                        fs -rm :INPATH:/singlefile/names.txt#
                        },
                        {
                # Custom Hive UDF and MapredContext - disabled for Spark: see PIG-5234
                'num' => 7,
                'execonly' => 'mapred,tez',
                'pig' => q\set mapred.max.split.size '100000000'
                        register :FUNCPATH:/testudf.jar;
                        define DummyContextUDF HiveUDF('org.apache.pig.test.udf.evalfunc.DummyContextUDF');
                        A = load ':INPATH:/singlefile/studenttab10k' as (name:chararray, age:int, gpa:double);
                        B = foreach A generate DummyContextUDF(age);
                        store B into ':OUTPATH:';\,
                'expected_err_regex' => "Encountered Warning UDF_WARNING_1 4610 time.*",
                        }
                ]
            }
        ],
    },
;