/*
* Copyright (c) 2008-2013, Hazelcast, Inc. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package tutorials;
import com.hazelcast.core.HazelcastInstance;
import com.hazelcast.core.ICompletableFuture;
import com.hazelcast.core.IList;
import com.hazelcast.mapreduce.Job;
import com.hazelcast.mapreduce.JobTracker;
import com.hazelcast.mapreduce.KeyValueSource;
import model.Person;
import tutorials.impl.StateBasedCountMapper;
import tutorials.impl.ToStringPrettyfier;
public class Tutorial3 implements Tutorial {
@Override
public void execute(HazelcastInstance hazelcastInstance) throws Exception {
JobTracker jobTracker = hazelcastInstance.getJobTracker("default");
IList<Person> list = hazelcastInstance.getList("persons");
KeyValueSource<String, Person> source = KeyValueSource.fromList(list);
Job<String, Person> job = jobTracker.newJob(source);
// collect all people by state
ICompletableFuture future = job.mapper(new StateBasedCountMapper()).submit();
// count people by state
// ICompletableFuture future = job.mapper(new StateBasedCountMapper()).reducer(new CountReducerFactory()).submit();
// same as above but with precalculation per node
// ICompletableFuture future = job.mapper(new StateBasedCountMapper()).combiner(new CountCombinerFactory())
// .reducer(new CountReducerFactory()).submit();
System.out.println(ToStringPrettyfier.toString(future.get()));
}
}