Java tutorial
/** * Copyright 2015 Abdul Zummerwala <abdul.zummerwala@yahoo.co.in> * * 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. */ import java.io.IOException; import java.security.MessageDigest; import java.security.NoSuchAlgorithmException; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.fs.Path; import org.apache.hadoop.io.BytesWritable; 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.SequenceFileInputFormat; import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat; import org.apache.hadoop.util.GenericOptionsParser; public class ImageDuplicatesRemover { public static class ImageMd5Mapper extends Mapper<Text, BytesWritable, Text, Text> { public void map(Text key, BytesWritable value, Context context) throws IOException, InterruptedException { //get the md5 for this specific file String md5Str; try { md5Str = calculateMd5(value.getBytes()); } catch (NoSuchAlgorithmException e) { e.printStackTrace(); context.setStatus("Internal error - can't find the algorithm for calculating the md5"); return; } Text md5Text = new Text(md5Str); //put the file in the map where the md5 is the key, so duplicates will // be grouped together for the reduce function context.write(md5Text, key); } static String calculateMd5(byte[] imageData) throws NoSuchAlgorithmException { //get the md5 for this specific data MessageDigest md = MessageDigest.getInstance("MD5"); md.update(imageData); byte[] hash = md.digest(); // Below code of converting Byte Array to hex String hexString = new String(); for (int i = 0; i < hash.length; i++) { hexString += Integer.toString((hash[i] & 0xff) + 0x100, 16).substring(1); } return hexString; } } public static class ImageDupsReducer extends Reducer<Text, Text, Text, Text> { public void reduce(Text key, Iterable<Text> values, Context context) throws IOException, InterruptedException { //Key here is the md5 hash while the values are all the image files that // are associated with it. for each md5 value we need to take only // one file (the first) Text imageFilePath = null; for (Text filePath : values) { imageFilePath = filePath; break;//only the first one } // In the result file the key will be again the image file path. context.write(imageFilePath, key); } } public static void main(String[] args) throws Exception { Configuration conf = new Configuration(); //This is the line that makes the hadoop run locally //conf.set("mapred.job.tracker", "local"); String[] otherArgs = new GenericOptionsParser(conf, args).getRemainingArgs(); if (otherArgs.length != 2) { System.err.println("Usage: wordcount <in> <out>"); System.exit(2); } Job job = new Job(conf, "image dups remover"); job.setJarByClass(ImageDuplicatesRemover.class); job.setInputFormatClass(SequenceFileInputFormat.class); job.setMapperClass(ImageMd5Mapper.class); job.setReducerClass(ImageDupsReducer.class); //job.setNumReduceTasks(2); job.setOutputKeyClass(Text.class); job.setOutputValueClass(Text.class); FileInputFormat.addInputPath(job, new Path(otherArgs[0])); FileOutputFormat.setOutputPath(job, new Path(otherArgs[1])); System.exit(job.waitForCompletion(true) ? 0 : 1); } }