/* * 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())); } }