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Bruno Pusztahazi commented on PIG-5404: --------------------------------------- [~thejas], [~daijy] could you please check this? Thanks. > FLATTEN infers wrong datatype > ----------------------------- > > Key: PIG-5404 > URL: https://issues.apache.org/jira/browse/PIG-5404 > Project: Pig > Issue Type: Bug > Components: piggybank > Affects Versions: 0.17.0 > Reporter: Bruno Pusztahazi > Priority: Critical > Labels: datatypes, flatten > > In version 0.12 (checked out branch-0.12) the following code works as > expected: > With the following input file test.csv: > > {code:java} > John_5,18,4.0F > Mary_6,19,3.8F > Bill_7,20,3.9F > Joe_8,18,3.8F{code} > > > {code:java} > A = LOAD 'test.csv' USING PigStorage (',') AS > (name:chararray,age:int,gpr:float); > B = FOREACH A GENERATE FLATTEN(STRSPLIT(name,'_')) as > (name1:chararray,name2:chararray),age,gpr; > DESCRIBE B;{code} > and produces the following output: > > {code:java} > B: {name1: chararray,name2: chararray,age: int,gpr: float} > {code} > This is the expected output as the result of flatten is defined as chararrays. > > When using version 0.17 (checkout out branch-0.17) the code produces: > {code:java} > B: {name1: bytearray,name2: bytearray,age: int,gpr: float} > {code} > This shows that somehow FLATTEN inferred wrong data types (bytearray instead > of chararay). > > Using explicit casting as a workaround on 0.17: > {code:java} > B1 = FOREACH B GENERATE (chararray)name1,(chararray)name2,age,gpr; > DESCRIBE B1;{code} > produces > {code:java} > B1: {name1: chararray,name2: chararray,age: int,gpr: float} > {code} > This time with the expected data types. > > The plan explain show some strange cast operators that are not really used > (or at least the actual data types are wrong): > {code:java} > #----------------------------------------------- > # New Logical Plan: > #----------------------------------------------- > B: (Name: LOStore Schema: > name1#121:chararray,name2#122:chararray,age#105:int,gpr#106:float) > | > |---B: (Name: LOForEach Schema: > name1#121:chararray,name2#122:chararray,age#105:int,gpr#106:float) > | | > | (Name: LOGenerate[false,false,false,false] Schema: > name1#121:chararray,name2#122:chararray,age#105:int,gpr#106:float)ColumnPrune:OutputUids=[121, > 105, 122, 106]ColumnPrune:InputUids=[121, 105, 122, 106] > | | | > | | (Name: Cast Type: chararray Uid: 121) > | | | > | | |---name1:(Name: Project Type: bytearray Uid: 121 Input: 0 > Column: 0) > | | | > | | (Name: Cast Type: chararray Uid: 122) > | | | > | | |---name2:(Name: Project Type: bytearray Uid: 122 Input: 1 > Column: 0) > | | | > | | age:(Name: Project Type: int Uid: 105 Input: 2 Column: 0) > | | | > | | gpr:(Name: Project Type: float Uid: 106 Input: 3 Column: 0) > | | > | |---(Name: LOInnerLoad[0] Schema: name1#121:bytearray) > | | > | |---(Name: LOInnerLoad[1] Schema: name2#122:bytearray) > | | > | |---(Name: LOInnerLoad[2] Schema: age#105:int) > | | > | |---(Name: LOInnerLoad[3] Schema: gpr#106:float) > | > |---B: (Name: LOForEach Schema: > name1#135:bytearray,name2#136:bytearray,age#105:int,gpr#106:float) > | | > | (Name: LOGenerate[true,false,false] Schema: > name1#135:bytearray,name2#136:bytearray,age#105:int,gpr#106:float) > | | | > | | (Name: UserFunc(org.apache.pig.builtin.STRSPLIT) Type: tuple > Uid: 132) > | | | > | | |---(Name: Cast Type: chararray Uid: 104) > | | | | > | | | |---name:(Name: Project Type: bytearray Uid: 104 Input: 0 > Column: (*)) > | | | > | | |---(Name: Constant Type: chararray Uid: 131) > | | | > | | (Name: Cast Type: int Uid: 105) > | | | > | | |---age:(Name: Project Type: bytearray Uid: 105 Input: 1 > Column: (*)) > | | | > | | (Name: Cast Type: float Uid: 106) > | | | > | | |---gpr:(Name: Project Type: bytearray Uid: 106 Input: 2 > Column: (*)) > | | > | |---(Name: LOInnerLoad[0] Schema: name#104:bytearray) > | | > | |---(Name: LOInnerLoad[1] Schema: age#105:bytearray) > | | > | |---(Name: LOInnerLoad[2] Schema: gpr#106:bytearray) > | > |---A: (Name: LOLoad Schema: > name#104:bytearray,age#105:bytearray,gpr#106:bytearray)RequiredFields:null > {code} > -- This message was sent by Atlassian Jira (v8.3.4#803005)