Java tutorial
/* * Copyright 2016 * Ubiquitous Knowledge Processing (UKP) Lab * Technische Universitt Darmstadt * * 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 de.tudarmstadt.ukp.dkpro.c4corpus.hadoop.full; import org.apache.hadoop.conf.Configured; import org.apache.hadoop.fs.Path; import org.apache.hadoop.io.LongWritable; import org.apache.hadoop.io.NullWritable; import org.apache.hadoop.io.Text; import org.apache.hadoop.mapreduce.Job; import org.apache.hadoop.mapreduce.Mapper; import org.apache.hadoop.mapreduce.Reducer; import org.apache.hadoop.mapreduce.lib.input.FileInputFormat; import org.apache.hadoop.mapreduce.lib.input.FileSplit; import org.apache.hadoop.mapreduce.lib.input.TextInputFormat; import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat; import org.apache.hadoop.mapreduce.lib.output.LazyOutputFormat; import org.apache.hadoop.mapreduce.lib.output.MultipleOutputs; import org.apache.hadoop.mapreduce.lib.output.TextOutputFormat; import org.apache.hadoop.util.Tool; import org.apache.hadoop.util.ToolRunner; import java.io.IOException; /** * this class is used as a preprocessing step to remove redundant (duplicates) * lines from a text file. It will be basically used instead of the pig distinct * command after step 1 and 3 in the Near Duplicates De-duplication * * @author Omnia Zayed * @author Ivan Habernal */ public class Phase3Step2DistinctDataJob extends Configured implements Tool { @Override public int run(String[] args) throws Exception { Job job = Job.getInstance(getConf()); job.setJarByClass(Phase3Step2DistinctDataJob.class); job.setJobName(Phase3Step2DistinctDataJob.class.getName()); //mapper job.setMapperClass(RemoveRedundantDataMapper.class); job.setMapOutputKeyClass(Text.class); job.setMapOutputValueClass(NullWritable.class); //reducer job.setReducerClass(RemoveRedundantDataReducer.class); job.setOutputKeyClass(Text.class); job.setOutputValueClass(NullWritable.class); //paths String commaSeparatedInputFiles = args[0]; String outputPath = args[1]; job.setInputFormatClass(TextInputFormat.class); LazyOutputFormat.setOutputFormatClass(job, TextOutputFormat.class); //i/o paths FileInputFormat.addInputPaths(job, commaSeparatedInputFiles); FileOutputFormat.setOutputPath(job, new Path(outputPath)); return job.waitForCompletion(true) ? 0 : 1; } public static void main(String[] args) throws Exception { ToolRunner.run(new Phase3Step2DistinctDataJob(), args); } public static class RemoveRedundantDataMapper extends Mapper<LongWritable, Text, Text, NullWritable> { @Override public void map(LongWritable ignore, Text value, Context context) throws java.io.IOException, InterruptedException { FileSplit fileSplit = (FileSplit) context.getInputSplit(); String fileName = fileSplit.getPath().getName().replaceAll("-r-.*", ""); Text outputKey = new Text(fileName + "_"); byte[] bytes = value.getBytes(); outputKey.append(bytes, 0, bytes.length); // This would sometimes fail with java.lang.OutOfMemoryError: Java heap space // at java.nio.HeapCharBuffer.<init>(HeapCharBuffer.java:57) // String outputKey = fileName + "_" + value.toString(); context.write(outputKey, NullWritable.get()); } } public static class RemoveRedundantDataReducer extends Reducer<Text, NullWritable, Text, NullWritable> { private MultipleOutputs<Text, NullWritable> multipleOutputs; @Override protected void setup(Context context) throws IOException, InterruptedException { multipleOutputs = new MultipleOutputs<>(context); } @Override public void reduce(Text key, Iterable<NullWritable> values, Context context) throws IOException, InterruptedException { // hard-split using array copy to prevent Java Heap Space int i = key.find("_", 0); Text outputKey = new Text(""); byte[] bytes = key.getBytes(); outputKey.append(bytes, i + 1, bytes.length - i - 2); String fileName = new String(bytes, 0, i); multipleOutputs.write(new Text(outputKey), NullWritable.get(), fileName); } @Override protected void cleanup(Context context) throws IOException, InterruptedException { multipleOutputs.close(); } } }