I need to convert the value of a column to uppercase in pig.
Was able to do using UPPER but this creates a new column.
For example:
A = Load 'MyFile.txt' using PigStorage(',') as (column1:chararray, column2:chararray, column3:chararray);
Dump A;
Returns
a,b,c
d,e,f
Now I need to convert second column to upper case.
B = Foreach A generate *,UPPER(column2);
Dump B;
returns
a,b,c,B
e,f,g,F
But I need
a,B,c
e,F,g
Please let me know if there is a way to so.
I didn't tried from my side but you can try like this
B = Foreach A generate column1,UPPER(column2),column3;
Using the "*" in the below line is the reason for the extra column:
B = FOREACH A generate *, UPPER(column2);
Instead use the below:
B = Foreach A generate column1, UPPER(column2), column3;
You can do it with user define function that default provided by Apache pig
find PiggyBank Jar
command
find / -name "piggybank*.jar*"
now goto pig grunt shell
code
grunt> register /usr/local/pig-0.16.0/contrib/piggybank/java/piggybank.jar;
grunt> A = Load 'data/MyFile.txt' using PigStorage(',') as (column1:chararray, column2:chararray, column3:chararray);
grunt> dump A;
result
(a,b,c)
(d,e,f)
Now convert second column to upper case.
grunt> B = foreach A generate column1,org.apache.pig.piggybank.evaluation.string.UPPER(column2),column3;
grunt> dump B;
result
(a,B,c)
(d,E,f)
I want to define an array of user Ids in Pig and then filter data if the userId from the input is NOT in that array,
How do I do this in pig latin? Below is the example of what I intend to do
Thanks
inputData = load '$INPUT' USING PigStorage('|') AS (useriD:chararray,controllerAction:chararray,url:chararray,browserName:chararray,IsMobile:chararray,exceptionDetails:chararray,renderTime:int,serviceHostId:int,auditEventTime:chararray);
filteredInput = filter inputData by controllerAction is not null and auditEventTime is not null and serviceHostId is not null and renderTime is not null and useriD in ('2be2df06-f4ba-4d87-8938-09d867d3f2fe','ac1ac6bf-d151-49fc-8c7c-2b52d2efbb58','f00aec16-36e5-46ae-b7cb-a0f1eeefe609','258890f9-102a-4f8e-a001-ae24d2e25269','cf221779-a077-472c-b377-cca4a9230e1b');
Thanks Murali..I tried the approach of declaring a variable and then using Flatten and stringSplit to join..However I get the following error
Syntax error, unexpected symbol at or near 'flatteneduserids'
%declare REQUIRED_USER_IDS 'xxxxx,yyyyy,sssss' ;
inputData = load '$INPUT' USING PigStorage('|') AS (useriD:chararray,controllerAction:chararray,url:chararray,browserName:chararray,IsMobile:chararray,exceptionDetails:chararray,renderTime:int,serviceHostId:int,auditEventTime:chararray);
filteredInput = filter inputData by controllerAction is not null and auditEventTime is not null and serviceHostId is not null and renderTime is not null;
flatteneduserids = FLATTEN(STRSPLIT('$REQUIRED_USER_IDS',',')) AS (uid:chararray);
useridfilter = JOIN filteredInput BY useriD, flatteneduserids BY uid USING 'replicated';
so Now I tried another way of declaring flatteneduserids which results in the error Undefined alias: IN
flatteneduserids = FOREACH IN GENERATE FLATTEN(STRSPLIT('$REQUIREDUSERIDS',',')) AS (uid:chararray);
Had a similar use case. Tried the approach by declaring the constant value in %define and accessing the same inside IN clause, was not able to achieve the objective. (Refer : Declare a comma seperated string constant)
A thought worth contemplating ....
If the condition inside IN clause is a static/ reference/ meta kind of data, then would suggest to declare this in a static file. We can then read the data at run time and do an inner join with input data to retrieve the matching records.
input_data = LOAD '$INPUT' USING PigStorage('|') AS (user_id:chararray ...)
static_data = LOAD ... AS (req_user_id:chararray
required_data = JOIN input_data BY useriD, static_data BY req_user_id USING 'replicated';
required_data_fmt = -- project required fields.
I was not able to figure out how to do this in memory
So as per Murali's suggestion I added the user ids in a file..load the file and then do a join...that worked as expected for mr
I would like to write a pig script for below query.
Input is:
ABC,DEF,GHI,JKL,AAA,aaa,1,2,3,bbb,1,2,3,ccc,1,2,3,BBB,aaa,1,2,3,bbb,1,2,3,ccc,1,2,3
Output should be:
ABC,DEF,GHI,JKL,AAA,aaa,1,2,3
ABC,DEF,GHI,JKL,AAA,bbb,1,2,3
ABC,DEF,GHI,JKL,AAA,ccc,1,2,3
ABC,DEF,GHI,JKL,BBB,aaa,1,2,3
ABC,DEF,GHI,JKL,BBB,bbb,1,2,3
ABC,DEF,GHI,JKL,BBB,ccc,1,2,3
Could anyone please help me?
You can write your own custom UDF or try the below approach
input.txt
ABC,DEF,GHI,JKL,AAA,aaa,1,2,3,bbb,1,2,3,ccc,1,2,3,BBB,aaa,1,2,3,bbb,1,2,3,ccc,1,2,3,CCC,aaa,1,2,3,bbb,1,2,3,ccc,1,2,3
PigScript:
A = LOAD 'input.txt' USING PigStorage(',');
B = FOREACH A GENERATE $0,$1,$2,$3,
FLATTEN(TOTUPLE($4)),
FLATTEN(TOBAG(
TOTUPLE($5..$8),
TOTUPLE($9..$12),
TOTUPLE($13..$16)
)
);
C = FOREACH A GENERATE $0,$1,$2,$3,
FLATTEN(TOTUPLE($17)),
FLATTEN(TOBAG(
TOTUPLE($18..$21),
TOTUPLE($22..$25),
TOTUPLE($26..$29)
)
);
D = UNION B,C;
DUMP D
Output:
(ABC,DEF,GHI,JKL,AAA,aaa,1,2,3)
(ABC,DEF,GHI,JKL,AAA,bbb,1,2,3)
(ABC,DEF,GHI,JKL,AAA,ccc,1,2,3)
(ABC,DEF,GHI,JKL,BBB,aaa,1,2,3)
(ABC,DEF,GHI,JKL,BBB,bbb,1,2,3)
(ABC,DEF,GHI,JKL,BBB,ccc,1,2,3)
10278929012|HDFC1001|SBI|2014-08-03|8000|S
10278929012|HDFC1001|HDFC|2014-08-17|500|S
I need to find out if the atm_id belongs to the same bank then I need a indicator to be produced
I need output like this
10278929012|HDFC1001|SBI|diff_bank
10278929012|HDFC1001|HDFC|same_bank
atm_trans = LOAD '/user/cloudera/inputfiles/atm_trans.txt' USING PigStorage('|') as(accnt_no:long,atm_id:chararray,bank_name :chararray,date:chararray,amt:chararray,status:chararray);
atm_trans_each = foreach atm_trans generate accnt_no,atm_id,bank_name,(bank_name matches atm_id ?'same_bank' : 'diff_bank') as ind;
dump atm_trans_each;
but I am getting syntax error. Can somebody correct it give me the correct statement to get the ouput;
Can you try this?
input.txt
10278929012|HDFC1001|SBI|2014-08-03|8000|S
10278929012|HDFC1001|HDFC|2014-08-17|500|S
PigScript:
atm_trans = LOAD 'input.txt' USING PigStorage('|') as(accnt_no:long,atm_id:chararray,bank_name:chararray,date:chararray,amt:chararray,status:chararray);
atm_trans_each = foreach atm_trans generate accnt_no,atm_id,bank_name,((STARTSWITH(atm_id,bank_name)== true)?'same_bank':'diff_bank') as ind;
STORE atm_trans_each INTO 'output' USING PigStorage('|');
Update: In 0.8 version
atm_trans_each = foreach atm_trans generate accnt_no,atm_id,bank_name,((REGEX_EXTRACT(atm_id,'([A-Za-z]+)',1) == bank_name)?'same_bank':'diff_bank');
output:
10278929012|HDFC1001|SBI|diff_bank
10278929012|HDFC1001|HDFC|same_bank
The following pig latin script:
data = load 'access_log_Jul95' using PigStorage(' ') as (ip:chararray, dash1:chararray, dash2:chararray, date:chararray, date1:chararray, getRequset:chararray, location:chararray, http:chararray, code:int, size:int);
splitDate = foreach data generate size as size:int , ip as ip, FLATTEN(STRSPLIT(date, ':')) as h;
groupedIp = group splitDate by h.$1;
a = foreach groupedIp{
added = foreach splitDate generate SUM(size); --
generate added;
};
describe a;
gives me the error:
ERROR 1045:
<file 3.pig, line 10, column 39> Could not infer the matching function for org.apache.pig.builtin.SUM as multiple or none of them fit. Please use an explicit cast.
This error makes me think I need to cast size as an int, but if i describe my groupedIp field, I get the following schema.
groupedIp: {group: bytearray,splitDate: {(size: int,ip: chararray,h: bytearray)}} which indicates that size is an int, and should be able to be used by the sum function.
Am I calling the sum function incorrectly? Let me know if you would like to see any thing else, such as the input file.
SUM operates on a bag as input, but you pass it the field 'size'.
Try to eliminate the nested foreach and use:
a = foreach groupedIp generate SUM(splitDate.size);
Do some dumps of your data. I'll bet some of the stuff in the size column is non-integer, and Pig runs into that and dies. You could also code up your own isInteger udf to check this before the rest of your processing, and throw out any that aren't integers.
SUM, AVG and COUNT are functions that always work on a bag, therefore group the data and then join with the original set like below:
A = load 'nyse_data.txt' as (exchange:chararray, symbol:chararray,date:chararray, pen:float,high:float, low:float, close:float,volume:int, adj_close:float);
G = group A by symbol;
C = foreach G generate group, SUM(A.open);