/* * 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 wordcount; import com.hazelcast.mapreduce.Context; import com.hazelcast.mapreduce.Mapper; import java.util.StringTokenizer; class TokenizerMapper implements Mapper<String, String, String, Integer> { private static final Integer ONE = 1; @Override public void map(String key, String value, Context<String, Integer> context) { StringTokenizer tokenizer = new StringTokenizer(value); while (tokenizer.hasMoreTokens()) { String word = WordCountExample.cleanWord(tokenizer.nextToken()); context.emit(word.toLowerCase(), ONE); } } }