I am new to pigscript. Say, We have a file
[a#1,b#2,c#3]
[a#4,b#5,c#6]
[a#7,b#8,c#9]
pig script
A = LOAD \'txt\' AS (in: ma
You can create a custom UDF
which converts the map to a bag (using Pig v0.10.0):
package com.example;
import java.io.IOException;
import java.util.Map;
import java.util.Map.Entry;
import org.apache.pig.EvalFunc;
import org.apache.pig.data.BagFactory;
import org.apache.pig.data.DataBag;
import org.apache.pig.data.Tuple;
import org.apache.pig.data.TupleFactory;
public class MapToBag extends EvalFunc<DataBag> {
private static final BagFactory bagFactory = BagFactory.getInstance();
private static final TupleFactory tupleFactory = TupleFactory.getInstance();
@Override
public DataBag exec(Tuple input) throws IOException {
try {
@SuppressWarnings("unchecked")
Map<String, Object> map = (Map<String, Object>) input.get(0);
DataBag result = null;
if (map != null) {
result = bagFactory.newDefaultBag();
for (Entry<String, Object> entry : map.entrySet()) {
Tuple tuple = tupleFactory.newTuple(2);
tuple.set(0, entry.getKey());
tuple.set(1, entry.getValue());
result.add(tuple);
}
}
return result;
}
catch (Exception e) {
throw new RuntimeException("MapToBag error", e);
}
}
}
Then:
B = foreach A generate
flatten(com.example.MapToBag(in)) as (k:chararray, v:chararray);
describe B;
B: {k: chararray,v: chararray}
Now group by key and use a nested foreach:
C = foreach (group B by k) {
value = foreach B generate v;
generate group as key, value;
};
dump C;
(a,{(1),(4),(7)})
(b,{(2),(5),(8)})
(c,{(3),(6),(9)})