Java tutorial
/** w * Licensed to the Apache Software Foundation (ASF) under one or more * contributor license agreements. See the NOTICE file distributed with * this work for additional information regarding copyright ownership. * The ASF licenses this file to You 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 com.cg.mapreduce.fpgrowth.mahout.fpm; import java.io.IOException; import java.util.Arrays; import java.util.Set; import java.util.regex.Pattern; import com.google.common.collect.Sets; import org.apache.hadoop.io.LongWritable; import org.apache.hadoop.io.Text; import org.apache.hadoop.mapreduce.Mapper; import org.apache.mahout.common.Parameters; /** * * maps all items in a particular transaction like the way it is done in Hadoop * WordCount example * */ @Deprecated public class ParallelCountingMapper extends Mapper<LongWritable, Text, Text, LongWritable> { private static final LongWritable ONE = new LongWritable(1); private Pattern splitter; @Override protected void map(LongWritable offset, Text input, Context context) throws IOException, InterruptedException { String[] items = splitter.split(input.toString()); Set<String> uniqueItems = Sets.newHashSet(Arrays.asList(items)); for (String item : uniqueItems) { if (item.trim().isEmpty()) { continue; } context.setStatus("Parallel Counting Mapper: " + item); context.write(new Text(item), ONE); } } @Override protected void setup(Context context) throws IOException, InterruptedException { super.setup(context); Parameters params = new Parameters(context.getConfiguration().get(PFPGrowth.PFP_PARAMETERS, "")); splitter = Pattern.compile(params.get(PFPGrowth.SPLIT_PATTERN, PFPGrowth.SPLITTER.toString())); } }