I am trying to characterize fractions of rows having certain properties using Apache Pig.
For example, if the data looks like:
a,15
a,16
a,17
b,3
b,16
I would like to get:
a,0.6
b,0.4
I am trying to do the following:
A = LOAD 'my file' USING PigStorage(',');
total = FOREACH (GROUP A ALL) GENERATE COUNT(A);
which gives me total = (5), but then when I attempt to use this 'total':
fractions = FOREACH (GROUP A by $0) GENERATE COUNT(A)/total;
I get an error.
Clearly COUNT() returns some kind of projection and both projections (in computing total and fractions) should be consistent. Is there a way to make this work? Or perhaps just to cast total to be a number and avoid this projection consistency requirement?
One more way to do the same:
test = LOAD 'test.txt' USING PigStorage(',') AS (one:chararray,two:int);
B = GROUP test by $0;
C = FOREACH B GENERATE group, COUNT(test.$0);
D = GROUP test ALL;
E = FOREACH D GENERATE group,COUNT(test.$0);
F = CROSS C,E;
G = FOREACH F GENERATE $0,$1,$3,(double)($1*100/$3);
Output:
(a,3,5,0.6)
(b,2,5,0.4)
You will have to project and cast it to double:
total = FOREACH (GROUP A ALL) GENERATE COUNT(A);
rows = FOREACH (GROUP A by $0) GENERATE group,COUNT(A);
fractions = FOREACH rows GENERATE rows.$0,(double)rows.$1/(double)total.$0;
For some reason the following modification of what #inquisitive-mind suggested works:
total = FOREACH (GROUP A ALL) GENERATE COUNT(A);
rows = FOREACH (GROUP A by $0) GENERATE group as colname, COUNT(A) as cnt;
fractions = FOREACH rows GENERATE colname, cnt/(double)total.$0;
Related
how can i find the continuity of a field and starting position
The input is like
A-1
B-2
B-3
B-4
C-5
C-6
The output i want is
A,1,1
B,3,2
C,2,5
Thanks.
Assuming you do not have discontinuous data with respect to a value, you can get the desired results by first grouping on value and using COUNT and MIN to get continuous_counts and start_index respectively.
A = LOAD 'data' USING PigStorage('-') AS (value:chararray;index:int);
B = FOREACH (GROUP A BY value) GENERATE
group as value,
COUNT(A) as continuous_counts,
MIN(A.value) as start_index;
STORE B INTO 'output' USING PigStorage(',');
If your data does have the possibility of discontinuous data, the solution is not longer trivial in native pig and you might need to write a UDF for that purpose.
Group and count the number of values for continous_counts. i.e.
A,1
B,3
C,2
Get the top row for each value. i.e.
A,1
B,2
C,5
Join the above two relations and get the desired output.
A = LOAD 'data.txt' USING PigStorage('-') AS (value:chararray;index:int);
B = GROUP A BY value;
C = FOREACH B GENERATE group as value,COUNT(A.value) as continuous_counts;
D = FOREACH B {
ordered = ORDER B BY index;
first = LIMIT ordered 1;
GENERATE first.value,first.index;
}
E = JOIN C BY value,D BY value;
F = FOREACH E GENERATE C::value,C::continuous_counts,D::index;
DUMP F;
Relatively new to Pig scripts. I have below script to derive the error details grouped by Error Code, Name and their respective count.
A = LOAD 'traffic_error_details.txt' USING
PigStorage(',') as (id:int, error_code:chararray,error_name:chararray, error_status:int);
B = FOREACH A GENERATE A.error_code as errorCode,A.error_name as
errorName,A.error_status as errorStatus;
C = GROUP B by ($0,$1,$2);
F = FOREACH C GENERATE group, COUNT(B) as count;
Dump F;
Above would give results as below :
INVALID_PARAM,REQUEST_ERROR,10
INTERNAL_ERROR,SERVER_ERROR,15
NOT_ALLOWED,ACCESS_ERROR,4
UNKNOWN_ERR,UNKNOWN_ERROR,10
NIL,NIL,11
I would want to display percentage of errors as well. So as below :
INVALID_PARAM,REQUEST_ERROR,10,20%
INTERNAL_ERROR,SERVER_ERROR,15,30%
NOT_ALLOWED,ACCESS_ERROR,4,9%
UNKNOWN_ERR,UNKNOWN_ERROR,10,20%
NIL,NIL,11,21%
Here total number of requests considered is 50. Out of which 21% are successful. Remaining are splitup of Error %.
So how to calculate the total as well in the same script and in the same tuple ? so that % could be calculated as (count/total)*100.
Total refers to the count of all records error_details.txt.
After you've gotten counts for each error code, you would need to do a GROUP ALL to find the total number of errors and add that field to every row. Then you can divide the error code counts by the total count to find percent. Make sure you convert the counts variables from type long to type double to avoid any integer division problems.
This is the code:
A = LOAD 'traffic_error_details.txt' USING PigStorage(',') as
(id:int, errorCode:chararray, errorName:chararray, errorStatus:int);
B = FOREACH A GENERATE errorCode, errorName, errorStatus;
C = GROUP B BY (errorCode, errorName, errorStatus);
D = FOREACH C GENERATE
FLATTEN(group) AS (errorCode, errorName, errorStatus),
COUNT(B) AS num;
E = GROUP D ALL;
F = FOREACH E GENERATE
FLATTEN(D) AS (errorCode, errorName, errorStatus, num),
SUM(D.num) AS num_total;
G = FOREACH F GENERATE
errorCode,
errorName,
errorStatus,
num,
(double)num/(double)num_total AS percent;
You'll notice I modified your code slightly. I grouped by (errorCode, errorName, errorStatus) instead of ($0,$1,$2). It's safer to refer to the field names themselves instead of their positions in case you modify your code in the future and the positions aren't the same.
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
My Input file is below
a,t1,1000,100
a,t1,2000,200
b,t2,1000,200
b,t2,5000,100
How to find count of distinct $0 in the above file.
myinput = LOAD 'file' AS(a1:chararray,a2:chararray,amt:int,rate:int);
After the above script what needs to done.
Also Can I use that distinct count for dividing some other is a different relation
First of all, the way you read the data is incorrect. If you try to dump "myinput", youll see that the whole row is read in the first field (a1), while the others are empty.
The reason is that you don't specify a LOAD function, and a default function is the PigStorage() built-in function which expects tab-delimited file (so it ignores your commas!).You need to explicitly specify a load function (e.g. PigStorage()) via the using clause and pass it arguments:
myInput = LOAD file' using PigStorage(',');
myInput2 = FOREACH myInput GENERATE $0 as (a1:chararray), $1 as (a2:chararray), $2 as (amt:int), $3 as (rate:int);
Moving on, to find the DISTINCT $0 first you have to extract field $0 in a separate relation. The reason is that the DISTINCT statement works on entire records, rather than on separate fields.
myField = FOREACH myInput2 GENERATE a1;
distinctA1 = DISTINCT myField;
Now the result of distinctA1 is {(a), (b)}. By using now group all, you will group together all of your records together, and then what is left is to COUNT them:
grouped = GROUP distinctA1 all;
countA1 = FOREACH grouped GENERATE COUNT(distinctA1);
And now you're happy. :)
The complete code:
myInput = LOAD 'file' using PigStorage(',');
myInput2 = FOREACH myInput GENERATE $0 as (a1:chararray), $1 as (a2:chararray), $2 as (amt:int), $3 as (rate:int);
a1 = FOREACH myInput2 GENERATE a1;
distinctA1 = DISTINCT a1;
grouped = GROUP distinctA1 all;
countA1 = FOREACH grouped GENERATE COUNT(distinctA1);
You can do something like this :
myInput = LOAD 'file.txt' USING PigStorage(',') AS (a1:chararray,a2:chararray,amt:int,rate:int);
Data = GROUP myInput BY $0;
Data = FOREACH Data GENERATE $0;
Data = GROUP Data ALL;
Data = FOREACH Data GENERATE $0,COUNT($1);
NB: By Grouping on $0 you are doing the same thing as a distinct and you get better performance ;)