Just use the ParallelIterable like you would use the FluentIterable in Guava. The transformation or filtering of each element will be done concurrently behind the scenes.
package be.dabla.parallel.iterable;
import static com.google.common.collect.Lists.newArrayList;
import static java.math.BigInteger.ONE;
import static java.math.BigInteger.ZERO;
import java.math.BigInteger;
import java.util.List;
import com.google.common.base.Function;
public class Sample {
public List<BigInteger> incrementAllByOne() {
return ParallelIterable.from(newArrayList(ZERO, ONE))
.transform(addOne())
.toList();
}
private Function<BigInteger, BigInteger> addOne() {
return new Function<BigInteger, BigInteger>() {
public BigInteger apply(BigInteger input) {
return input.add(ONE);
}
};
}
}Example for Maven:
<dependency>
<groupId>be.dabla</groupId>
<artifactId>parallel-iterable</artifactId>
<version>1.4</version>
</dependency>Maven artifact can be found at https://oss.sonatype.org/content/repositories/public/be/dabla/parallel-iterable