List of usage examples for org.apache.hadoop.mapreduce Job setInputFormatClass
public void setInputFormatClass(Class<? extends InputFormat> cls) throws IllegalStateException
From source file:cienciaCelularMR.Main.java
@Override public int run(String[] args) throws Exception { for (int i = 0; i < args.length; i++) { System.out.println("Hadoop - arg[" + i + "] es: " + args[i]); }/*from w w w .j a v a2 s . c o m*/ //Configuracin de memoria de YARN Configuration conf = new Configuration(); conf.set("mapreduce.map.memory.mb", "1400"); conf.set("mapreduce.reduce.memory.mb", "2800"); conf.set("mapreduce.map.java.opts", "-Xmx1120m"); conf.set("mapreduce.reduce.java.opts", "-Xmx2240m"); conf.set("yarn.app.mapreduce.am.resource.mb", "2800"); conf.set("yarn.app.mapreduce.am.command-opts", "-Xmx2240m"); conf.set("yarn.nodemanager.resource.memory-mb", "5040"); conf.set("yarn.scheduler.minimum-allocation-mb", "1400"); conf.set("yarn.scheduler.maximum-allocation-mb", "5040"); conf.set("mapreduce.task.timeout", "18000000");//5 horas //Creacin del Job Job job = Job.getInstance(conf); job.setInputFormatClass(WholeFileInputFormat.class); FileInputFormat.setInputPaths(job, new Path(args[5])); FileOutputFormat.setOutputPath(job, new Path(args[6])); //Salidas alternativas de Mapper para brindar informacin MultipleOutputs.addNamedOutput(job, "controloutput", TextOutputFormat.class, KeyMcell.class, Text.class); MultipleOutputs.addNamedOutput(job, "errormcell", TextOutputFormat.class, KeyMcell.class, Text.class); //Archivos copiados a cache de los nodos job.addCacheFile(new Path("wasb:///mcell.exe").toUri()); job.addCacheFile(new Path("wasb:///fernet.exe").toUri()); job.addCacheFile(new Path("wasb:///fernet.cfg").toUri()); job.addCacheFile(new Path("wasb:///libconfig_d.dll").toUri()); job.addCacheFile(new Path("wasb:///libtiff3.dll").toUri()); job.addCacheFile(new Path("wasb:///jpeg62.dll").toUri()); job.addCacheFile(new Path("wasb:///zlib1.dll").toUri()); job.addCacheFile(new Path("wasb:///msvcr100d.dll").toUri()); job.setJarByClass(Main.class); Configuration mapAConf = new Configuration(false); ChainMapper.addMapper(job, McellMapper.class, KeyMcell.class, BytesWritable.class, KeyMcell.class, Text.class, mapAConf); Configuration mapBConf = new Configuration(false); ChainMapper.addMapper(job, FernetMapper.class, KeyMcell.class, Text.class, KeyMcell.class, FernetOutput.class, mapBConf); job.setReducerClass(ResultReducer.class); job.setOutputKeyClass(Text.class); job.setOutputValueClass(BytesWritable.class); job.submit(); return 0; }
From source file:clustering.inverted_index.Driver.java
License:Apache License
@Override public int run(String[] args) throws Exception { if (args.length < 2) { System.err.printf("usage: %s tf_idf_result_dir output_dir" + "[decimal_number] [pruning_threshold]\n", getClass().getSimpleName()); System.exit(1);// w ww . j a v a 2 s . co m } Path normDir = new Path(args[1] + "/normed"); Path resultDir = new Path(args[1] + "/result"); Configuration conf = getConf(); conf = MapReduceUtils.initConf(conf); if (args.length > 2) { conf.setInt("deci.number", Integer.valueOf(args[2])); } else { conf.setInt("deci.number", 4); } if (args.length > 3) { conf.setBoolean("pruning", true); conf.setDouble("pruning.threshold", Double.valueOf(args[3])); } else { conf.setBoolean("pruning", false); } JobControl jobControl = new JobControl("inverted-index jobs"); /* step 1, normalize the vector lenth of each document */ Job job1 = Job.getInstance(conf, "tf idf normalizer job"); job1.setJarByClass(Driver.class); FileInputFormat.addInputPath(job1, new Path(args[0])); job1.setInputFormatClass(KeyValueTextInputFormat.class); job1.setMapperClass(Mapper.class); job1.setReducerClass(NormalizerReducer.class); job1.setOutputKeyClass(Text.class); job1.setOutputValueClass(Text.class); FileOutputFormat.setOutputPath(job1, normDir); ControlledJob controlledJob1 = new ControlledJob(conf); controlledJob1.setJob(job1); jobControl.addJob(controlledJob1); /* step 2, calculate inverted index */ Job job2 = Job.getInstance(conf, "inverted index job"); job2.setJarByClass(Driver.class); FileInputFormat.addInputPath(job2, normDir); job2.setInputFormatClass(KeyValueTextInputFormat.class); job2.setMapperClass(Mapper.class); job2.setReducerClass(InvertedIndexReducer.class); job2.setOutputKeyClass(Text.class); job2.setOutputValueClass(Text.class); FileOutputFormat.setOutputPath(job2, resultDir); ControlledJob controlledJob2 = new ControlledJob(conf); controlledJob2.setJob(job2); controlledJob2.addDependingJob(controlledJob1); jobControl.addJob(controlledJob2); MapReduceUtils.runJobs(jobControl); return job2.waitForCompletion(true) ? 0 : 1; }
From source file:clustering.link_back.pre.Driver.java
License:Apache License
public Job configJob(String[] args) throws Exception { if (args.length < 2) { System.err.printf("usage: %s input_dir output_dir\n", getClass().getSimpleName()); System.exit(1);//from w w w . j a va 2 s .c om } Configuration conf = getConf(); conf = MapReduceUtils.initConf(conf); Job job = Job.getInstance(conf, "linkback pre step"); job.setJarByClass(Driver.class); FileInputFormat.addInputPath(job, new Path(args[0])); job.setInputFormatClass(KeyValueTextInputFormat.class); job.setMapperClass(AttachMapper.class); job.setMapOutputKeyClass(Text.class); job.setMapOutputValueClass(Text.class); FileOutputFormat.setOutputPath(job, new Path(args[1])); return job; }
From source file:clustering.link_back.step1.Driver.java
License:Apache License
public Job configJob(String[] args) throws Exception { if (args.length < 3) { System.err.printf("usage: %s mst_result_dir simhash_result_file output_dir\n", getClass().getSimpleName()); System.exit(1);/*from ww w . j a v a 2 s. c o m*/ } Configuration conf = getConf(); conf = MapReduceUtils.initConf(conf); Job job = Job.getInstance(conf, "link back step 1 job"); job.setJarByClass(Driver.class); FileInputFormat.addInputPath(job, new Path(args[0])); FileInputFormat.addInputPath(job, new Path(args[1])); job.setInputFormatClass(KeyValueTextInputFormat.class); job.setMapperClass(SetKeyMapper.class); job.setMapOutputKeyClass(Step1KeyWritable.class); job.setMapOutputValueClass(Text.class); job.setPartitionerClass(JoinPartitioner.class); job.setGroupingComparatorClass(Step1GroupComparator.class); job.setReducerClass(JoinReducer.class); job.setOutputKeyClass(Text.class); job.setOutputValueClass(IntWritable.class); FileOutputFormat.setOutputPath(job, new Path(args[2])); return job; }
From source file:clustering.link_back.step2.Driver.java
License:Apache License
public Job configJob(String[] args) throws Exception { if (args.length < 3) { System.err.printf("usage: %s pre_step_result_dir step1_result_dir output_dir\n", getClass().getSimpleName()); System.exit(1);/* www . java2s .co m*/ } Configuration conf = getConf(); conf = MapReduceUtils.initConf(conf); Job job = Job.getInstance(conf, "link back step 2 job"); job.setJarByClass(Driver.class); FileInputFormat.addInputPath(job, new Path(args[0])); FileInputFormat.addInputPath(job, new Path(args[1])); job.setInputFormatClass(KeyValueTextInputFormat.class); job.setMapperClass(clustering.link_back.step2.SetKeyMapper.class); job.setMapOutputKeyClass(Step2KeyWritable.class); job.setMapOutputValueClass(Text.class); job.setPartitionerClass(JoinPartitioner.class); job.setGroupingComparatorClass(Step2GroupComparator.class); job.setReducerClass(clustering.link_back.step2.JoinReducer.class); job.setOutputKeyClass(Text.class); job.setOutputValueClass(IntWritable.class); FileOutputFormat.setOutputPath(job, new Path(args[2])); return job; }
From source file:clustering.mst.Driver.java
License:Apache License
@Override public int run(String[] args) throws Exception { if (args.length < 3) { System.err.printf("usage: %s similarity_result_dir document_count_file output_dir " + "[cluster_threshold] [reduce_number] [compression]\n", getClass().getSimpleName()); System.exit(1);//from w ww . j av a2 s . com } Path step1_OutputDir = new Path(args[2] + "/step1"); Path resultDir = new Path(args[2] + "/result"); URI docCntFile = new URI(args[1] + "/part-r-00000#docCnt"); Configuration conf = getConf(); conf = MapReduceUtils.initConf(conf); if (args.length > 3) { conf.setDouble("final.threshold", Double.valueOf(args[3])); } else { conf.setDouble("final.threshold", 0.2d); } if (args.length > 4) { conf.setInt("reduce.task.num", Integer.valueOf(args[4])); } else { conf.setInt("reduce.task.num", 5); } JobControl jobControl = new JobControl("mst jobs"); /* step 1, split and calculate the child msts */ Job childJob = Job.getInstance(conf, "mst child job"); childJob.setJarByClass(Driver.class); childJob.addCacheFile(docCntFile); if (args.length > 5 && args[5].equals("0")) { FileInputFormat.addInputPath(childJob, new Path(args[0])); childJob.setInputFormatClass(KeyValueTextInputFormat.class); } else { SequenceFileInputFormat.addInputPath(childJob, new Path(args[0])); childJob.setInputFormatClass(SequenceFileAsTextInputFormat.class); } FileOutputFormat.setOutputPath(childJob, step1_OutputDir); childJob.setMapperClass(ChildMapper.class); childJob.setMapOutputKeyClass(DoubleWritable.class); childJob.setMapOutputValueClass(Text.class); childJob.setPartitionerClass(ChildPartitioner.class); childJob.setReducerClass(ChildReducer.class); childJob.setNumReduceTasks(conf.getInt("reduce.task.num", 1)); childJob.setOutputKeyClass(DoubleWritable.class); childJob.setOutputValueClass(Text.class); ControlledJob controlledChildJob = new ControlledJob(conf); controlledChildJob.setJob(childJob); jobControl.addJob(controlledChildJob); /* step 2, merge step 1's output and calculate final mst */ Job finalJob = Job.getInstance(conf, "mst final job"); finalJob.setJarByClass(FinalReducer.class); finalJob.addCacheFile(docCntFile); FileInputFormat.addInputPath(finalJob, step1_OutputDir); finalJob.setInputFormatClass(KeyValueTextInputFormat.class); finalJob.setMapperClass(FinalMapper.class); finalJob.setMapOutputKeyClass(DoubleWritable.class); finalJob.setMapOutputValueClass(Text.class); finalJob.setReducerClass(FinalReducer.class); finalJob.setOutputKeyClass(IntWritable.class); finalJob.setOutputValueClass(IntWritable.class); FileOutputFormat.setOutputPath(finalJob, resultDir); ControlledJob finalControlledJob = new ControlledJob(conf); finalControlledJob.setJob(finalJob); finalControlledJob.addDependingJob(controlledChildJob); jobControl.addJob(finalControlledJob); // run jobs MapReduceUtils.runJobs(jobControl); return finalJob.waitForCompletion(true) ? 0 : 1; }
From source file:clustering.simhash.Driver.java
License:Apache License
@Override public int run(String[] args) throws Exception { if (args.length < 2) { System.err.printf("usage: %s init_result_dir output_dir [simhash_threshold]\n", getClass().getSimpleName()); System.exit(1);/* w ww. j av a 2s. c om*/ } Path step1_outputDir = new Path(args[1] + "/step1"); Configuration conf = getConf(); conf = MapReduceUtils.initConf(conf); if (args.length > 2) { conf.setInt("simhash.threshold", Integer.valueOf(args[2])); } else { conf.setInt("simhash.threshold", 3); } JobControl jobControl = new JobControl("simhash jobs"); Job job1 = Job.getInstance(conf, "simhash step1 job"); job1.setJarByClass(Driver.class); FileInputFormat.addInputPath(job1, new Path(args[0])); job1.setInputFormatClass(KeyValueTextInputFormat.class); job1.setMapperClass(Step1Mapper.class); job1.setMapOutputKeyClass(LongWritable.class); job1.setMapOutputValueClass(Text.class); job1.setReducerClass(Step1Reducer.class); job1.setOutputKeyClass(IntWritable.class); job1.setOutputValueClass(Text.class); FileOutputFormat.setOutputPath(job1, step1_outputDir); ControlledJob controlledJob1 = new ControlledJob(conf); controlledJob1.setJob(job1); jobControl.addJob(controlledJob1); Job job2 = Job.getInstance(conf, "simhash step2 job"); job2.setJarByClass(Driver.class); FileInputFormat.addInputPath(job2, step1_outputDir); job2.setInputFormatClass(KeyValueTextInputFormat.class); job2.setMapperClass(Step2Mapper.class); job2.setMapOutputKeyClass(IntWritable.class); job2.setMapOutputValueClass(Text.class); job2.setReducerClass(Step2Reducer.class); job2.setOutputKeyClass(IntWritable.class); job2.setOutputValueClass(Text.class); FileOutputFormat.setOutputPath(job2, new Path(args[1] + "/result")); ControlledJob controlledJob2 = new ControlledJob(conf); controlledJob2.setJob(job2); controlledJob2.addDependingJob(controlledJob1); jobControl.addJob(controlledJob2); long starttime = System.currentTimeMillis(); clustering.Utils.MapReduceUtils.runJobs(jobControl); boolean complete = job2.waitForCompletion(true); long endtime = System.currentTimeMillis(); System.out.println("simhash job finished in: " + (endtime - starttime) / 1000 + " seconds"); return complete ? 0 : 1; }
From source file:clustering.similarity.ISimDriver.java
License:Apache License
@Override public int run(String[] args) throws Exception { if (args.length < 2) { System.err.printf("usage: %s simpre_dir output_dir " + "[compression_or_not] [reduce_task_number]\n", getClass().getSimpleName()); System.exit(1);//w w w. j ava 2 s . c o m } Configuration conf = getConf(); conf = MapReduceUtils.initConf(conf); Job job = Job.getInstance(conf, "isim job"); job.setJarByClass(ISimDriver.class); if (args.length > 2 && args[2].equals("0")) { FileInputFormat.addInputPath(job, new Path(args[0])); job.setInputFormatClass(KeyValueTextInputFormat.class); FileOutputFormat.setOutputPath(job, new Path(args[1])); } else { job.setInputFormatClass(SequenceFileAsTextInputFormat.class); SequenceFileInputFormat.addInputPath(job, new Path(args[0])); conf.setBoolean("mapreduce.map.output.compress", true); conf.set("mapreduce.map.output.compress.codec", "org.apache.hadoop.io.compress.GzipCodec"); job.setOutputFormatClass(SequenceFileOutputFormat.class); SequenceFileOutputFormat.setCompressOutput(job, true); SequenceFileOutputFormat.setOutputCompressionType(job, SequenceFile.CompressionType.BLOCK); SequenceFileOutputFormat.setOutputCompressorClass(job, org.apache.hadoop.io.compress.GzipCodec.class); SequenceFileOutputFormat.setOutputPath(job, new Path(args[1])); } if (args.length > 3) { conf.setInt("reduce.num", Integer.valueOf(args[3])); } else { conf.setInt("reduce.num", 5); } job.setMapperClass(ISimMapper.class); job.setMapOutputKeyClass(IntIntTupleWritable.class); job.setMapOutputValueClass(DoubleWritable.class); job.setCombinerClass(ISimCombiner.class); job.setPartitionerClass(HashPartitioner.class); job.setNumReduceTasks(conf.getInt("reduce.num", 1)); job.setReducerClass(ISimReducer.class); job.setOutputKeyClass(IntIntTupleWritable.class); job.setOutputValueClass(DoubleWritable.class); long starttime = System.currentTimeMillis(); boolean complete = job.waitForCompletion(true); long endtime = System.currentTimeMillis(); System.out.println("inverted similarity job finished in: " + (endtime - starttime) / 1000 + " seconds"); return complete ? 0 : 1; }
From source file:clustering.similarity.PreDriver.java
License:Apache License
@Override public int run(String[] args) throws Exception { if (args.length < 2) { System.err.printf(//from w w w. j av a2s .c o m "usage: %s inverted_index_result_dir output_dir" + " [compress_or_not] [reducer_number] [deci_number]\n", this.getClass().getSimpleName()); System.exit(1); } Configuration conf = getConf(); conf = MapReduceUtils.initConf(conf); conf.set("mapreduce.reduce.speculative", "false"); // TODO: 17-4-24 calculate split number from reducer number conf.setInt("split.num", 8); if (args.length > 3) { conf.setInt("reducer.num", Integer.valueOf(args[3])); } else { conf.setInt("reducer.num", 29); } if (args.length > 4) { conf.setInt("deci.number", Integer.valueOf(args[4])); } else { conf.setInt("deci.number", 3); } Job job = Job.getInstance(conf, "pre job"); job.setJarByClass(PreDriver.class); FileInputFormat.addInputPath(job, new Path(args[0])); job.setInputFormatClass(KeyValueTextInputFormat.class); job.setMapperClass(PreMapper.class); job.setMapOutputKeyClass(IntIntTupleWritable.class); job.setMapOutputValueClass(Text.class); job.setPartitionerClass(PrePartitioner.class); job.setNumReduceTasks(conf.getInt("reducer.num", 29)); job.setReducerClass(PreReducer.class); job.setOutputKeyClass(Text.class); job.setOutputValueClass(Text.class); // set default compression if (args.length > 2 && args[2].equals("0")) { FileOutputFormat.setOutputPath(job, new Path(args[1])); } else { job.setOutputFormatClass(SequenceFileOutputFormat.class); SequenceFileOutputFormat.setCompressOutput(job, true); SequenceFileOutputFormat.setOutputCompressionType(job, SequenceFile.CompressionType.BLOCK); SequenceFileOutputFormat.setOutputCompressorClass(job, org.apache.hadoop.io.compress.GzipCodec.class); SequenceFileOutputFormat.setOutputPath(job, new Path(args[1])); } long starttime = System.currentTimeMillis(); boolean complete = job.waitForCompletion(true); long endtime = System.currentTimeMillis(); System.out.println("inverted similarity pre job finished in: " + (endtime - starttime) / 1000 + " seconds"); return complete ? 0 : 1; }
From source file:clustering.tf_idf.TermCntDriver.java
License:Apache License
Job configJob(String[] args) throws Exception { if (args.length < 2) { System.err.printf("usage: %s simhash_result_dir step_1_output_dir\n", getClass().getSimpleName()); System.exit(1);/*from w w w .ja v a 2s.co m*/ } Configuration conf = getConf(); conf = initConf(conf); Job job = Job.getInstance(conf, "tf idf step1 job"); job.setJarByClass(TermCntDriver.class); FileInputFormat.addInputPath(job, new Path(args[0])); job.setInputFormatClass(KeyValueTextInputFormat.class); job.setMapperClass(TermCountMapper.class); job.setMapOutputKeyClass(Text.class); job.setMapOutputValueClass(IntWritable.class); job.setCombinerClass(TermCountReducer.class); job.setReducerClass(TermCountReducer.class); job.setOutputKeyClass(Text.class); job.setOutputValueClass(IntWritable.class); FileOutputFormat.setOutputPath(job, new Path(args[1])); return job; }