I have rows with a double values.
The sum of them however has additional floating digits which I dont want in the output. Any idea to avoid this problem ?
A = LOAD 'test.csv' Using PigStorage(',') AS (
ID: chararray,
COST:double
);
B = GROUP A BY (ID);
C = FOREACH B GENERATE SUM(A.COST);
STORE C INTO 'out.txt' USING PigStorage(',');
INPUT FILE
A,0.51
A,0.51
B,4.81
B,4.81
EXPECTED OUTPUT FILE
A,1.02
B,9.62
ACTUAL INVALID OUTPUT FILE
10.020000457763672
9.619999885559082
Try C = FOREACH B GENERATE ROUND(SUM(A.COST)*100.0)/100.0;
EDIT
It works, see below the output
Related
Using Apache PIG.
Sample Data: {1,2,3,4,5,6,7,8}.
I want the output in the following manner :
{1,2},{2,3},{3,4},{4,5},{5,6},{6,7},{7,8}
Not sure what you are looking for.See here for COGROUP & GROUP
Now for the question related to the data.
Load the numbers, filter the numbers to exclude 8, then foreach number generate number,number + 1.
A = LOAD 'data.txt' USING PigStorage(',') as (numbers:int);
B = FILTER A BY (numbers < 8)
C = FOREACH B GENERATE numbers, numbers+1;
DUMP C;
I have data in the form of shell, $917.14,$654.23,2013
I have to find out the minimum value in column $1 and $2
I tried to do a order by these columns by asc order
But the answer is not coming out correct. Can anyone please help?
Refer MIN
A = LOAD 'test1.txt' USING PigStorage(',') as (f1:chararray,f2:float,f3:float,f4:int,f5:int,f6:int);
B = GROUP A ALL;
C = FOREACH B GENERATE MIN(A.f2),MIN(A.f3);
DUMP C;
EDIT1: The data you are loading has '$' in it.You will either have to clean it up and load it to a float field to apply MIN function or load it into a chararray and replace the '$' and then cast it to float and apply the MIN function.
EDIT2: Here is the solution without removing the $ in the original data but handling it in the PigScript.
Input:
shell,$820.48,$11992.70,996,891,1629
shell,$817.12,$2105.57,1087,845,1630
Bharat,$974.48,$5479.10,965,827,1634
Bharat,$943.70,$9162.57,939,895,1635
PigScript
A = LOAD 'test5.txt' USING TextLoader() as (line:chararray);
A1 = FOREACH A GENERATE REPLACE(line,'([^a-zA-Z0-9.,\\s]+)','');
B = FOREACH A1 GENERATE FLATTEN(STRSPLIT($0,','));
B1 = FOREACH B GENERATE $0,(float)$1,(float)$2,(int)$3,(int)$4,(int)$5;
C = GROUP B1 ALL;
D = FOREACH C GENERATE CONCAT('$',(chararray)MIN(B1.$1)),CONCAT('$',(chararray)MIN(B1.$2));
DUMP D;
Output
I am trying to figure out the best way to parse key value pair with Pig in a dataset with mixed delimiters as below
My sample dataset is in the format below
a|b|c|k1=v1 k2=v2 k3=v3
The final output which i require here is
k1,v1,k2,v2,k3,v3
I guess one way to do this is to
A = load 'sample' PigStorage('|') as (a1,b1,c1,d1);
B = foreach A generate d1;
and here i get (k1=v1 k2=v2 k3=v3) for B
Is there any way i can further parse this by "" so as to get 3 fields k1=v1,k2=v2 and K3=v3 which can then be further split into k1,v1,k2,v2,k3,v3 using Strsplit and Flatten on "=".
Thanks for the help!
San
If you know beforehand how many key=value pair are in each record, try this:
A = load 'sample' PigStorage('|') as (a1,b1,c1,d1);
B = foreach A generate d1;
C = FOREACH B GENERATE STRSPLIT($0,'=',6); -- 6= no. of key=value pairs
D = FOREACH C GENERATE FLATTEN($0);
DUMP D
output:
(k1,v1, k2,v2, k3,v3)
If you dont know the # of key=value pair, use ' ' as delimiter and remove the unwanted prefix from $0 column.
A = LOAD 'sample' USING PigStorage(' ') as (a:chararray,b:chararray,c:chararray);
B = FOREACH A GENERATE STRSPLIT(SUBSTRING(a, LAST_INDEX_OF(a,'|')+1, (int)SIZE(a)),'=',2),STRSPLIT(b,'=',2),STRSPLIT(c,'=',2);
C = FOREACH B GENERATE FLATTEN($0), FLATTEN($1), FLATTEN($2);
DUMP C;
output:
(k1,v1, k2,v2, k3,v3)
Hi I am new to pig programming. I have one csv file and tab as a delimiter. In my price column I have lacs and crores. It looks like this 40.85 Lacs, 36.73 Lacs, 2.01 cr. I want to convert into decimal like this
40.85 Lacs - 40,85,000
36.73 Lacs - 36,73,000
2.01 cr - 2,01,00000
I tried the following code:
a = LOAD '/user/user1/input/city/cityname.CSV' using PigStorage('|') as (SourceWebSite:chararray,PropertyID:chararray,ListedOn:chararray,ContactName:chararray,TotalViews:int,Price:chararray,PriceperArea:chararray,NoOfBedRooms:int,NoOfBathRooms:int,FloorNoOfProperty:chararray,TotalFloors:int,Possession:chararray,BuiltUpArea:chararray,Furnished:chararray,Ownership:chararray,NewResale:chararray,Facing:chararray,title:chararray,PropertyAddress:chararray,NearByFacilities:chararray,PropertyFeatures:chararray,Sellerinfo:chararray,Description:chararray);
DUMP a;
b = FOREACH a GENERATE Price;
dump b;
c = FILTER b BY (Price matches '.*Lacs.*');
d = FOREACH c GENERATE Price * 10000.0,SUBSTRING(Price,00000);
d = foreach c generate Price,TOKENIZE(REPLACE(Price,'.','')) AS e;
I am struggling for two days in this. Any help will be appreciated.
Use REGEX_EXTRACT to get the first part of the value, until the blank, cast it to BigDecimal and then multiply it. With this input data, for example:
(40.85 Lacs,1)
(36.73 Lacs,2)
(2.01 cr,3)
The following code would work:
A = load 'data' using PigStorage(';');
B = foreach A generate (bigdecimal)REGEX_EXTRACT($0, '(.*) (.*)', 1) * 1000000;
dump B;
And the output would be:
(40850000.00)
(36730000.00)
(2010000.00)
I would like to write a pig script for below query.
Input is:
ABC,DEF,,
,,GHI,JKL
MNO,PQR,,
,,STU,VWX
Output should be:
ABC,DEF,GHI,JKL
MNO,PQR,STU,VWX
Could anyone please help me?
It will be difficult to solve this problem using native pig. One option could be download the datafu-1.2.0.jar library and try the below approach.
input.txt
ABC,DEF,,
,,GHI,JKL
MNO,PQR,,
,,STU,VWX
PigScript:
REGISTER /tmp/datafu-1.2.0.jar;
DEFINE BagSplit datafu.pig.bags.BagSplit();
A = LOAD 'input.txt' USING PigStorage(',') AS(f1,f2,f3,f4);
B = GROUP A ALL;
C = FOREACH B GENERATE FLATTEN(BagSplit(2,$1)) AS mybag;
D = FOREACH C GENERATE FLATTEN(STRSPLIT(REPLACE(BagToString(mybag),'_null_null_null_null',''),'_',4));
E = FOREACH D GENERATE $2,$3,$0,$1;
DUMP E;
Output:
(MNO,PQR,STU,VWX)
(ABC,DEF,GHI,JKL)
Note:
Based on the above input format, my assumption will be 1st row last two cols will be null, 2nd row first two cols will be null, similarly for 3rd and 4th row also