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I have data like this:
1,234,"john, lee", john#xyz.com
I want to remove , inside "" with space using pig script. So that my data will look like:
1,234,john lee, john#xyz.com
I tried using CSVExcelStorage to load this data but i need to use '-tagFile' option as well which is not supported in CSVExcelStorage . So i am planning to use PigStorage only and then replace any comma (,) inside quotes.
I am stuck on this. Any help is highly appreciated. Thanks
Below command will help:
csvFile = load '/path/to/file' using PigStorage(',');
result = foreach csvFile generate $0 as (field1:chararray),$1 as (field2:chararray),CONCAT(REPLACE($2, '\\"', '') , REPLACE($3, '\\"', '')) as field3,$4 as (field4:chararray);
Ouput:
(1,234,john lee, john#xyz.com)
Load it into a single field and then use STRSPLIT and REPLACE
A = LOAD 'data.csv' USING TextLoader() AS (line:chararray);
B = FOREACH A GENERATE STRSPLIT(line,'\\"',3);
C = FOREACH B GENERATE REPLACE($1,',','');
D = FOREACH C GENERATE CONCAT(CONCAT($0,$1),$2); -- You can further use STRSPLIT to get individual fields or just CONCAT
E = FOREACH D GENERATE STRSPLIT(D.$0,',',4);
DUMP E;
A
1,234,"john, lee", john#xyz.com
B
(1,234,)(john, lee)(, john#xyz.com)
C
(1,234,)(john lee)(, john#xyz.com)
D
(1,234,john lee, john#xyz.com)
E
(1),(234),(john lee),(john#xyz.com)
I got the perfect way to do this. A very generic solution is as below:
data = LOAD 'data.csv' using PigStorage(',','-tagFile') AS (filename:chararray, record:chararray);
/*replace comma(,) if it appears in column content*/
replaceComma = FOREACH data GENERATE filename, REPLACE (record, ',(?!(([^\\"]*\\"){2})*[^\\"]*$)', '');
/*replace the quotes("") which is present around the column if it have comma(,) as its a csv file feature*/
replaceQuotes = FOREACH replaceComma GENERATE filename, REPLACE ($4,'"','') as record;
Detailed use case is available at my blog
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'm trying to replace all comma in a chararray like this:
Example of input lines:
1,compras com cartão, comprei (cp1,cp2,cp3), 206-01-01 00:00:00
Output example:
1,compras com cartão, comprei (cp1 cp2 cp3), 206-01-01 00:00:00
Using this approach:
raw_data = LOAD 's3://datalake/example'
USING org.apache.pig.piggybank.storage.CSVExcelStorage(',','NO_MULTILINE') AS (id:int, transaction:chararray, transaction_name:chararray, date:chararray);
apply_cleanness = FOREACH raw_data GENERATE id:int, ransaction:chararray, REPLACE(transaction_name,',','') as transaction_name, date:chararray;
But this command just remove the first occurrence of comma, and the result is:
1,compras com cartão, comprei (cp1 cp2, cp3), 206-01-01 00:00:00
What i'm doing wrong?
Thanks,
There is no clear demarkation of the 3rd field.You have 2 options.Enclose the 3rd field in quotes and then use the pigscript you have.
1,compras com cartão, "comprei (cp1,cp2,cp3)", 206-01-01 00:00:00
raw_data = LOAD 's3://datalake/example' USING org.apache.pig.piggybank.storage.CSVExcelStorage(',','NO_MULTILINE') AS (id:int, transaction:chararray, transaction_name:chararray, date:chararray);
apply_cleanness = FOREACH raw_data GENERATE id:int, ransaction:chararray, REPLACE(transaction_name,',','') as transaction_name, date:chararray;
Alternatively, you can load the fields using comma as the delimiter and then generate the 3rd field as the combination of 3,4,5 fields in the load.See below
A = LOAD 'test16.txt' USING org.apache.pig.piggybank.storage.CSVExcelStorage(',');
B = FOREACH A GENERATE $0 as id:int,$1 as transaction:chararray,CONCAT(CONCAT(CONCAT(CONCAT($2,' '),$3),' '),$4) as transaction_name:chararray,$5 as date:chararray;
DUMP B;
I have below pig code for a sample file.
001,Rajiv,Reddy,21,9848022337,Hyderabad
002,siddarth,Battacharya,22,9848022338,Kolkata
003,Rajesh,Khanna,22,9848022339,Delhi
004,Preethi,Agarwal,21,9848022330,Pune
I load the above file using PIG load command & then loop thru it and get 2,3 fields as follows.
students = LOAD '/user/4965056e873066f2abe966b4129918/Pig_Data/students.txt' USING PigStorage(',') as (id:int,fname:chararray,lname:chararray,age:int,mob:chararray,city:chararray);
each1 = foreach students generate (id,fname,lname);
output of each1:
((001,Rajive,reddy)) etc.
Now i wanna get 1st field of each1 i.e.ID how to get it. I tried below code but showing error
each2 = foreach each1 generate(students.id)
Need to get the first filed from each2 relation.
The extra parenthesis are added to the each1 relation, simply remove them:
students = LOAD '/user/4965056e873066f2abe966b4129918/Pig_Data/students.txt' USING PigStorage(',') as (id:int,fname:chararray,lname:chararray,age:int,mob:chararray,city:chararray);
each1 = foreach students generate id,fname,lname;
And you will get something like :
(001,Rajive,reddy)
For the each2 relation, you can get any filed of each1 without using the qualifier students, use filed name or filed position like this :
each2 = foreach each1 generate id;
each2 = foreach each1 generate $0;
And you will get something like :
(001)
each2 = foreach each1 generate $0;
I am trying to parse a log extract with multiple delimiters with sample data as below using pig
CEF:0|NetScreen|Firewall/VPN||traffic:1|Permit|Low| eventId=5
msg=start_time\="2015-05-20 09:41:38" duration\=0 policy_id\=64
My code is as below:
A = LOAD '/user/cef.csv' USING PigStorage(' ') as
(a:chararray,b:chararray,c:chararray,d:chararray,e:chararray,f:chararray,g:chararray);
B = FOREACH A GENERATE STRSPLIT(SUBSTRING(a, LAST_INDEX_OF(a,'|')+1, (int)SIZE(a)),'=',2),STRSPLIT(b,'=',2),STRSPLIT(c,'=',2),STRSPLIT(d,'=',2),STRSP LIT(e,'=',2),STRSPLIT(f,'=',2),STRSPLIT(g,'=',2);
C = FOREACH B GENERATE FLATTEN($0), FLATTEN($1), FLATTEN($2),FLATTEN($3),FLATTEN($4),FLATTEN($5);
D = FOREACH C GENERATE $2,flatten(STRSPLIT($4,'"',2)),flatten(STRSPLIT($5,'"',2)),$7,$9;
E = FOREACH D GENERATE (int)$0,(chararray)$2,(chararray)$3,(int)$5,(int)$6 as (a:int,b:chararray,c:chararray,D:int,E:int);
Now when i dump E,i get the error
grunt> 2015-05-25 04:06:48,092 [main] ERROR org.apache.pig.tools.grunt.Grunt
- ERROR 1031: Incompatable schema: left is
"a:int,b:chararray,c:chararray,D:int,E:int", right is ":int"
I am trying to cast the output of my flatten and strsplit operations into chararray and int.
Please let me know whether this can be done
Thank you for the help!
Your problem is how you use the as clause. Since you place the as after the sixth parameter, it assumes you are trying to specify that schema only for that sixth parameter. Therefore, you are assigning a schema of six fields to only one, hence the error.
Do it like this:
E = FOREACH D GENERATE (int)$0 as a:int,(chararray)$2 as b,(chararray)$3 as c,(int)$5 as d,(int)$6 as e;
However, you are casting 09:41:38" to an int, so it will give you another error once you change it. You need to check again how you are splitting the data.
In my humble opinion, you should try to split the files by their delimiter before processing them in Pig, and then load them with their delimiter and perform an union. If your data is too large, then forget this idea... But your code is going to get too messy if you have several delimiters in the same file.