Optimizing pig script - hadoop

Question

I am trying to generate aggregated output. The issue is that all the data is going to a single reducer(Filter and Count are creating a problem). How can I optimize the following script?
Expected output:
group, 10,2,12,34...
data = LOAD '/input/useragents' USING PigStorage('\t') AS (Col1:chararray,Col2:chararray,Col3:chararray,col4:chararray,col5:chararray);
grp1 = GROUP data BY UA PARALLEL 50;
fr1 = FOREACH grp1 {
fltrCol1 = FILTER data BY Col1 == 'Other';
fltrCol2 = FILTER data BY Col2 == 'Other';
fltrCol3 = FILTER data BY Col3 == 'Other';
fltrCol4 = FILTER data BY col4 == 'Other';
fltrCol5 = FILTER data BY col5 == 'Other';
cnt_fltrCol1 = COUNT(fltrCol1);
cnt_fltrCol2 = COUNT(fltrCol2);
cnt_fltrCol3 = COUNT(fltrCol3);
cnt_fltrCol4 = COUNT(fltrCol4);
cnt_fltrCol5 = COUNT(fltrCol5);
GENERATE group,cnt_fltrCol1,cnt_fltrCol2,cnt_fltrCol3,cnt_fltrCol4,cnt_fltrCol5;
}

Answer 1

You could put the filter logic before the group by adding fltrCol{1,2,3,4,5} columns as integers, than sum them up. From the top of my head here is the script :
data = LOAD '/input/useragents' USING PigStorage('\t') AS (Col1:chararray,Col2:chararray,Col3:chararray,col4:chararray,col5:chararray);
filter = FOREACH data GENERATE UA,
((Col1 == 'Other') ? 1 : 0) as fltrCol1,
((Col2 == 'Other') ? 1 : 0) as fltrCol2,
((Col3 == 'Other') ? 1 : 0) as fltrCol3,
((Col4 == 'Other') ? 1 : 0) as fltrCol4,
((Col5 == 'Other') ? 1 : 0) as fltrCol5;
grp1 = GROUP data BY UA PARALLEL 50;
fr1 = FOREACH grp1 {
cnt_fltrCol1 = SUM(fltrCol1);
cnt_fltrCol2 = SUM(fltrCol2);
cnt_fltrCol3 = SUM(fltrCol3);
cnt_fltrCol4 = SUM(fltrCol4);
cnt_fltrCol5 = SUM(fltrCol5);
GENERATE group,cnt_fltrCol1,cnt_fltrCol2,cnt_fltrCol3,cnt_fltrCol4,cnt_fltrCol5;
}