/*
* 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);
}
}
}