List of usage examples for org.apache.hadoop.mapreduce Job getInstance
@Deprecated public static Job getInstance(Cluster ignored) throws IOException
From source file:ComputeCooccurrenceMatrixStripes.java
License:Apache License
/** * Runs this tool.//from w w w.j a v a 2 s .c o m */ @SuppressWarnings({ "static-access" }) public int run(String[] args) throws Exception { Options options = new Options(); options.addOption(OptionBuilder.withArgName("path").hasArg().withDescription("input path").create(INPUT)); options.addOption(OptionBuilder.withArgName("path").hasArg().withDescription("output path").create(OUTPUT)); options.addOption(OptionBuilder.withArgName("num").hasArg().withDescription("window size").create(WINDOW)); options.addOption(OptionBuilder.withArgName("num").hasArg().withDescription("number of reducers") .create(NUM_REDUCERS)); CommandLine cmdline; CommandLineParser parser = new GnuParser(); try { cmdline = parser.parse(options, args); } catch (ParseException exp) { System.err.println("Error parsing command line: " + exp.getMessage()); return -1; } if (!cmdline.hasOption(INPUT) || !cmdline.hasOption(OUTPUT)) { System.out.println("args: " + Arrays.toString(args)); HelpFormatter formatter = new HelpFormatter(); formatter.setWidth(120); formatter.printHelp(this.getClass().getName(), options); ToolRunner.printGenericCommandUsage(System.out); return -1; } String inputPath = cmdline.getOptionValue(INPUT); String outputPath = cmdline.getOptionValue(OUTPUT); int reduceTasks = cmdline.hasOption(NUM_REDUCERS) ? Integer.parseInt(cmdline.getOptionValue(NUM_REDUCERS)) : 1; int window = cmdline.hasOption(WINDOW) ? Integer.parseInt(cmdline.getOptionValue(WINDOW)) : 2; LOG.info("Tool: " + ComputeCooccurrenceMatrixStripes.class.getSimpleName()); LOG.info(" - input path: " + inputPath); LOG.info(" - output path: " + outputPath); LOG.info(" - window: " + window); LOG.info(" - number of reducers: " + reduceTasks); Job job = Job.getInstance(getConf()); job.setJobName(ComputeCooccurrenceMatrixStripes.class.getSimpleName()); job.setJarByClass(ComputeCooccurrenceMatrixStripes.class); // Delete the output directory if it exists already. Path outputDir = new Path(outputPath); FileSystem.get(getConf()).delete(outputDir, true); job.getConfiguration().setInt("window", window); job.setNumReduceTasks(reduceTasks); FileInputFormat.setInputPaths(job, new Path(inputPath)); FileOutputFormat.setOutputPath(job, new Path(outputPath)); job.setMapOutputKeyClass(Text.class); job.setOutputValueClass(String2IntOpenHashMapWritable.class); job.setOutputKeyClass(Text.class); job.setOutputValueClass(String2IntOpenHashMapWritable.class); job.setMapperClass(MyMapper.class); job.setCombinerClass(MyReducer.class); job.setReducerClass(MyReducer.class); long startTime = System.currentTimeMillis(); job.waitForCompletion(true); System.out.println("Job Finished in " + (System.currentTimeMillis() - startTime) / 1000.0 + " seconds"); return 0; }
From source file:BuildPageRankRecords.java
License:Apache License
/** * Runs this tool.//from ww w .j a v a 2 s . c o m */ @SuppressWarnings({ "static-access" }) public int run(String[] args) throws Exception { Options options = new Options(); options.addOption(OptionBuilder.withArgName("path").hasArg().withDescription("input path").create(INPUT)); options.addOption(OptionBuilder.withArgName("path").hasArg().withDescription("output path").create(OUTPUT)); options.addOption( OptionBuilder.withArgName("num").hasArg().withDescription("number of nodes").create(NUM_NODES)); CommandLine cmdline; CommandLineParser parser = new GnuParser(); try { cmdline = parser.parse(options, args); } catch (ParseException exp) { System.err.println("Error parsing command line: " + exp.getMessage()); return -1; } if (!cmdline.hasOption(INPUT) || !cmdline.hasOption(OUTPUT) || !cmdline.hasOption(NUM_NODES)) { System.out.println("args: " + Arrays.toString(args)); HelpFormatter formatter = new HelpFormatter(); formatter.setWidth(120); formatter.printHelp(this.getClass().getName(), options); ToolRunner.printGenericCommandUsage(System.out); return -1; } String inputPath = cmdline.getOptionValue(INPUT); String outputPath = cmdline.getOptionValue(OUTPUT); int n = Integer.parseInt(cmdline.getOptionValue(NUM_NODES)); LOG.info("Tool name: " + BuildPageRankRecords.class.getSimpleName()); LOG.info(" - inputDir: " + inputPath); LOG.info(" - outputDir: " + outputPath); LOG.info(" - numNodes: " + n); Configuration conf = getConf(); conf.setInt(NODE_CNT_FIELD, n); conf.setInt("mapred.min.split.size", 1024 * 1024 * 1024); Job job = Job.getInstance(conf); job.setJobName(BuildPageRankRecords.class.getSimpleName() + ":" + inputPath); job.setJarByClass(BuildPageRankRecords.class); job.setNumReduceTasks(0); FileInputFormat.addInputPath(job, new Path(inputPath)); FileOutputFormat.setOutputPath(job, new Path(outputPath)); job.setInputFormatClass(TextInputFormat.class); job.setOutputFormatClass(SequenceFileOutputFormat.class); job.setMapOutputKeyClass(IntWritable.class); job.setMapOutputValueClass(PageRankNode.class); job.setOutputKeyClass(IntWritable.class); job.setOutputValueClass(PageRankNode.class); job.setMapperClass(MyMapper.class); // Delete the output directory if it exists already. FileSystem.get(conf).delete(new Path(outputPath), true); job.waitForCompletion(true); return 0; }
From source file:BigramRelativeFrequencyTuple.java
License:Apache License
/** * Runs this tool./*from w w w . jav a 2s. com*/ */ public int run(String[] args) throws Exception { if (args.length != 3) { printUsage(); return -1; } String inputPath = args[0]; String outputPath = args[1]; int reduceTasks = Integer.parseInt(args[2]); LOG.info("Tool name: " + BigramRelativeFrequencyTuple.class.getSimpleName()); LOG.info(" - input path: " + inputPath); LOG.info(" - output path: " + outputPath); LOG.info(" - num reducers: " + reduceTasks); Job job = Job.getInstance(getConf()); job.setJobName(BigramRelativeFrequencyTuple.class.getSimpleName()); job.setJarByClass(BigramRelativeFrequencyTuple.class); job.setNumReduceTasks(reduceTasks); FileInputFormat.setInputPaths(job, new Path(inputPath)); FileOutputFormat.setOutputPath(job, new Path(outputPath)); job.setMapOutputKeyClass(BinSedesTuple.class); job.setMapOutputValueClass(FloatWritable.class); job.setOutputKeyClass(BinSedesTuple.class); job.setOutputValueClass(FloatWritable.class); job.setOutputFormatClass(SequenceFileOutputFormat.class); job.setMapperClass(MyMapper.class); job.setCombinerClass(MyCombiner.class); job.setReducerClass(MyReducer.class); job.setPartitionerClass(MyPartitioner.class); // Delete the output directory if it exists already. Path outputDir = new Path(outputPath); FileSystem.get(getConf()).delete(outputDir, true); long startTime = System.currentTimeMillis(); job.waitForCompletion(true); System.out.println("Job Finished in " + (System.currentTimeMillis() - startTime) / 1000.0 + " seconds"); return 0; }
From source file:avro.mr.MapReduceAvroWordCount.java
License:Apache License
public int run(String[] args) throws Exception { if (args.length != 2) { System.err.println("Usage: AvroWordCount <input path> <output path>"); return -1; }/*from w w w . jav a2s . c o m*/ Job job = Job.getInstance(getConf()); job.setJarByClass(MapReduceAvroWordCount.class); job.setJobName("wordcount"); // We call setOutputSchema first so we can override the configuration // parameters it sets AvroJob.setOutputKeySchema(job, Pair.getPairSchema(Schema.create(Type.STRING), Schema.create(Type.INT))); job.setOutputValueClass(NullWritable.class); job.setMapperClass(Map.class); job.setReducerClass(Reduce.class); job.setInputFormatClass(TextInputFormat.class); job.setMapOutputKeyClass(Text.class); job.setMapOutputValueClass(IntWritable.class); job.setSortComparatorClass(Text.Comparator.class); FileInputFormat.setInputPaths(job, new Path(args[0])); FileOutputFormat.setOutputPath(job, new Path(args[1])); job.waitForCompletion(true); return 0; }
From source file:avro.mr.MapReduceColorCount.java
License:Apache License
public int run(String[] args) throws Exception { if (args.length != 2) { System.err.println("Usage: MapReduceColorCount <input path> <output path>"); return -1; }//from www.ja va 2s. c om Job job = Job.getInstance(getConf()); job.setJarByClass(MapReduceColorCount.class); job.setJobName("Color Count"); FileInputFormat.setInputPaths(job, new Path(args[0])); FileOutputFormat.setOutputPath(job, new Path(args[1])); job.setInputFormatClass(AvroKeyInputFormat.class); job.setMapperClass(ColorCountMapper.class); AvroJob.setInputKeySchema(job, User.getClassSchema()); job.setMapOutputKeyClass(Text.class); job.setMapOutputValueClass(IntWritable.class); job.setOutputFormatClass(AvroKeyValueOutputFormat.class); job.setReducerClass(ColorCountReducer.class); AvroJob.setOutputKeySchema(job, Schema.create(Schema.Type.STRING)); AvroJob.setOutputValueSchema(job, Schema.create(Schema.Type.INT)); return (job.waitForCompletion(true) ? 0 : 1); }
From source file:avro.mr.MapReduceColorCountSeqFile.java
License:Apache License
public int run(String[] args) throws Exception { if (args.length != 2) { System.err.println("Usage: MapReduceColorCount <input path> <output path>"); return -1; }/*ww w. j av a 2s .co m*/ Job job = Job.getInstance(getConf()); job.setJarByClass(MapReduceColorCountSeqFile.class); job.setJobName("Color Count 2"); FileInputFormat.setInputPaths(job, new Path(args[0])); FileOutputFormat.setOutputPath(job, new Path(args[1])); job.setInputFormatClass(AvroSequenceFileInputFormat.class); AvroJob.setInputKeySchema(job, Schema.create(Schema.Type.LONG)); AvroJob.setInputValueSchema(job, User.getClassSchema()); job.setMapperClass(ColorCountMapper.class); job.setMapOutputKeyClass(Text.class); job.setMapOutputValueClass(IntWritable.class); job.setOutputFormatClass(AvroSequenceFileOutputFormat.class); job.setReducerClass(ColorCountReducer.class); AvroJob.setOutputKeySchema(job, Schema.create(Schema.Type.STRING)); AvroJob.setOutputValueSchema(job, Schema.create(Schema.Type.INT)); return (job.waitForCompletion(true) ? 0 : 1); }
From source file:basic.PartitionGraph.java
License:Apache License
/** * Runs this tool./*from ww w .ja va 2s .co m*/ */ @SuppressWarnings({ "static-access" }) public int run(String[] args) throws Exception { Options options = new Options(); options.addOption(new Option(RANGE, "use range partitioner")); options.addOption(OptionBuilder.withArgName("path").hasArg().withDescription("input path").create(INPUT)); options.addOption(OptionBuilder.withArgName("path").hasArg().withDescription("output path").create(OUTPUT)); options.addOption( OptionBuilder.withArgName("num").hasArg().withDescription("number of nodes").create(NUM_NODES)); options.addOption(OptionBuilder.withArgName("num").hasArg().withDescription("number of partitions") .create(NUM_PARTITIONS)); CommandLine cmdline; CommandLineParser parser = new GnuParser(); try { cmdline = parser.parse(options, args); } catch (ParseException exp) { System.err.println("Error parsing command line: " + exp.getMessage()); return -1; } if (!cmdline.hasOption(INPUT) || !cmdline.hasOption(OUTPUT) || !cmdline.hasOption(NUM_NODES) || !cmdline.hasOption(NUM_PARTITIONS)) { System.out.println("args: " + Arrays.toString(args)); HelpFormatter formatter = new HelpFormatter(); formatter.setWidth(120); formatter.printHelp(this.getClass().getName(), options); ToolRunner.printGenericCommandUsage(System.out); return -1; } String inPath = cmdline.getOptionValue(INPUT); String outPath = cmdline.getOptionValue(OUTPUT); int nodeCount = Integer.parseInt(cmdline.getOptionValue(NUM_NODES)); int numParts = Integer.parseInt(cmdline.getOptionValue(NUM_PARTITIONS)); boolean useRange = cmdline.hasOption(RANGE); LOG.info("Tool name: " + PartitionGraph.class.getSimpleName()); LOG.info(" - input dir: " + inPath); LOG.info(" - output dir: " + outPath); LOG.info(" - num partitions: " + numParts); LOG.info(" - node cnt: " + nodeCount); LOG.info(" - use range partitioner: " + useRange); Configuration conf = getConf(); conf.setInt("NodeCount", nodeCount); Job job = Job.getInstance(conf); job.setJobName(PartitionGraph.class.getSimpleName() + ":" + inPath); job.setJarByClass(PartitionGraph.class); job.setNumReduceTasks(numParts); FileInputFormat.setInputPaths(job, new Path(inPath)); FileOutputFormat.setOutputPath(job, new Path(outPath)); job.setInputFormatClass(NonSplitableSequenceFileInputFormat.class); job.setOutputFormatClass(SequenceFileOutputFormat.class); job.setMapOutputKeyClass(IntWritable.class); job.setMapOutputValueClass(PageRankNode.class); job.setOutputKeyClass(IntWritable.class); job.setOutputValueClass(PageRankNode.class); if (useRange) { job.setPartitionerClass(RangePartitioner.class); } FileSystem.get(conf).delete(new Path(outPath), true); job.waitForCompletion(true); return 0; }
From source file:biglayer.AutoCoder.java
License:Apache License
/** * Runs this tool.//from w ww . java2 s .co m */ @SuppressWarnings({ "static-access" }) public int run(String[] args) throws Exception { Options options = new Options(); options.addOption(OptionBuilder.withArgName("path").hasArg().withDescription("input path").create(INPUT)); options.addOption(OptionBuilder.withArgName("path").hasArg().withDescription("output path").create(OUTPUT)); options.addOption(OptionBuilder.withArgName("num").hasArg().withDescription("number of reducers") .create(NUM_REDUCERS)); CommandLine cmdline; CommandLineParser parser = new GnuParser(); try { cmdline = parser.parse(options, args); } catch (ParseException exp) { System.err.println("Error parsing command line: " + exp.getMessage()); return -1; } /*if (!cmdline.hasOption(INPUT) || !cmdline.hasOption(OUTPUT)) { System.out.println("args: " + Arrays.toString(args)); HelpFormatter formatter = new HelpFormatter(); formatter.setWidth(120); formatter.printHelp(this.getClass().getName(), options); ToolRunner.printGenericCommandUsage(System.out); return -1; }*/ //String inputPath = cmdline.getOptionValue(INPUT); //String outputPath = cmdline.getOptionValue(OUTPUT); String inputPath = "qiwang321/MNIST-mingled-key/part*"; String outputPath = "shangfu/layeroutput"; int reduceTasks = cmdline.hasOption(NUM_REDUCERS) ? Integer.parseInt(cmdline.getOptionValue(NUM_REDUCERS)) : 1; LOG.info("Tool: " + AutoCoder.class.getSimpleName()); LOG.info(" - input path: " + inputPath); LOG.info(" - output path: " + outputPath); LOG.info(" - number of reducers: " + reduceTasks); Configuration conf = getConf(); conf.setInt("num_reduce_task", reduceTasks); conf.set("sidepath", outputPath + "_side/"); Job job0 = Job.getInstance(conf); job0.setJobName(AutoCoder.class.getSimpleName()); job0.setJarByClass(AutoCoder.class); job0.setNumReduceTasks(reduceTasks); job0.getConfiguration().setInt("layer_ind", 0); FileInputFormat.setInputPaths(job0, new Path(inputPath)); FileOutputFormat.setOutputPath(job0, new Path(outputPath + "_0")); job0.setInputFormatClass(KeyValueTextInputFormat.class); job0.setOutputFormatClass(SequenceFileOutputFormat.class); job0.setMapOutputKeyClass(PairOfInts.class); job0.setMapOutputValueClass(ModelNode.class); job0.setOutputKeyClass(PairOfInts.class); job0.setOutputValueClass(ModelNode.class); job0.setMapperClass(MyMapper0.class); job0.setReducerClass(MyReducer0.class); job0.setPartitionerClass(MyPartitioner.class); // Delete the output directory if it exists already. Path outputDir = new Path(outputPath + "_0"); FileSystem.get(getConf()).delete(outputDir, true); long startTime = System.currentTimeMillis(); long codeStart = System.currentTimeMillis(); double codeTimeSum = 0; job0.waitForCompletion(true); LOG.info("Job Finished in " + (System.currentTimeMillis() - startTime) / 1000.0 + " seconds"); codeTimeSum += (System.currentTimeMillis() - startTime) / 1000.0; for (int iterations = 1; iterations < GlobalUtil.NUM_LAYER + 1; iterations++) { Job job1 = Job.getInstance(conf); job1.setJobName(AutoCoder.class.getSimpleName()); job1.setJarByClass(AutoCoder.class); job1.setNumReduceTasks(reduceTasks); job1.getConfiguration().setInt("layer_ind", iterations); FileInputFormat.setInputPaths(job1, new Path(outputPath + "_" + (iterations - 1))); FileOutputFormat.setOutputPath(job1, new Path(outputPath + "_" + iterations + "_train")); LOG.info("Tool: " + AutoCoder.class.getSimpleName()); LOG.info(" - input path: " + outputPath + "_" + (iterations - 1)); LOG.info(" - output path: " + outputPath + "_" + iterations + "_train"); LOG.info(" - number of reducers: " + reduceTasks); job1.setInputFormatClass(SequenceFileInputFormat.class); job1.setOutputFormatClass(SequenceFileOutputFormat.class); job1.setMapOutputKeyClass(PairOfInts.class); job1.setMapOutputValueClass(ModelNode.class); job1.setOutputKeyClass(PairOfInts.class); job1.setOutputValueClass(ModelNode.class); job1.setMapperClass(MyMapper.class); job1.setReducerClass(MyReducer_Train.class); job1.setPartitionerClass(MyPartitioner.class); // Delete the output directory if it exists already. outputDir = new Path(outputPath + "_" + iterations + "_train"); FileSystem.get(getConf()).delete(outputDir, true); startTime = System.currentTimeMillis(); job1.waitForCompletion(true); LOG.info("Job Finished in " + (System.currentTimeMillis() - startTime) / 1000.0 + " seconds"); codeTimeSum += (System.currentTimeMillis() - startTime) / 1000.0; Job job2 = Job.getInstance(conf); job2.setJobName(AutoCoder.class.getSimpleName()); job2.setJarByClass(AutoCoder.class); job2.setNumReduceTasks(reduceTasks); job2.getConfiguration().setInt("layer_ind", iterations); FileInputFormat.setInputPaths(job2, new Path(outputPath + "_" + (iterations + "_train"))); FileOutputFormat.setOutputPath(job2, new Path(outputPath + "_" + iterations)); LOG.info("Tool: " + AutoCoder.class.getSimpleName()); LOG.info(" - input path: " + outputPath + "_" + iterations + "_train"); LOG.info(" - output path: " + outputPath + "_" + iterations); LOG.info(" - number of reducers: " + reduceTasks); job2.setInputFormatClass(SequenceFileInputFormat.class); job2.setOutputFormatClass(SequenceFileOutputFormat.class); job2.setMapOutputKeyClass(PairOfInts.class); job2.setMapOutputValueClass(ModelNode.class); job2.setOutputKeyClass(PairOfInts.class); job2.setOutputValueClass(ModelNode.class); job2.setMapperClass(MyMapper.class); job2.setReducerClass(MyReducer_GenData.class); job2.setPartitionerClass(MyPartitioner.class); // Delete the output directory if it exists already. outputDir = new Path(outputPath + "_" + iterations); FileSystem.get(getConf()).delete(outputDir, true); startTime = System.currentTimeMillis(); job2.waitForCompletion(true); LOG.info("Job Finished in " + (System.currentTimeMillis() - startTime) / 1000.0 + " seconds"); codeTimeSum += (System.currentTimeMillis() - startTime) / 1000.0; } LOG.info(" - input path: " + outputPath + "_" + GlobalUtil.NUM_LAYER); LOG.info(" - output path: " + outputPath); reduceTasks = 1; LOG.info(" - number of reducers: " + reduceTasks); Job job_super = Job.getInstance(conf); job_super.setJobName(AutoCoder.class.getSimpleName()); job_super.setJarByClass(AutoCoder.class); job_super.setNumReduceTasks(reduceTasks); FileInputFormat.setInputPaths(job_super, new Path(outputPath + "_" + GlobalUtil.NUM_LAYER)); FileOutputFormat.setOutputPath(job_super, new Path(outputPath)); job_super.setInputFormatClass(SequenceFileInputFormat.class); job_super.setOutputFormatClass(SequenceFileOutputFormat.class); job_super.setMapOutputKeyClass(PairOfInts.class); job_super.setMapOutputValueClass(ModelNode.class); job_super.setOutputKeyClass(NullWritable.class); job_super.setOutputValueClass(NullWritable.class); job_super.setMapperClass(MyMapper_Super.class); job_super.setReducerClass(MyReducer_Super.class); job_super.setPartitionerClass(MyPartitioner.class); // Delete the output directory if it exists already. outputDir = new Path(outputPath); FileSystem.get(getConf()).delete(outputDir, true); startTime = System.currentTimeMillis(); job_super.waitForCompletion(true); LOG.info("Job Finished in " + (System.currentTimeMillis() - startTime) / 1000.0 + " seconds"); codeTimeSum += (System.currentTimeMillis() - startTime) / 1000.0; Log.info("Final Time: " + ((System.currentTimeMillis() - codeStart) / 1000.0) + " seconds, " + codeTimeSum + " seconds."); //prepareNextIteration(inputPath0, outputPath,iterations,conf,reduceTasks); return 0; }
From source file:bigmodel.AutoCoderLocal.java
License:Apache License
/** * Runs this tool.//from w ww . ja v a 2s . co m */ @SuppressWarnings({ "static-access" }) public int run(String[] args) throws Exception { Options options = new Options(); options.addOption(OptionBuilder.withArgName("path").hasArg().withDescription("input path").create(INPUT)); options.addOption(OptionBuilder.withArgName("path").hasArg().withDescription("output path").create(OUTPUT)); options.addOption(OptionBuilder.withArgName("num").hasArg().withDescription("number of reducers") .create(NUM_REDUCERS)); CommandLine cmdline; CommandLineParser parser = new GnuParser(); try { cmdline = parser.parse(options, args); } catch (ParseException exp) { System.err.println("Error parsing command line: " + exp.getMessage()); return -1; } if (!cmdline.hasOption(INPUT) || !cmdline.hasOption(OUTPUT)) { System.out.println("args: " + Arrays.toString(args)); HelpFormatter formatter = new HelpFormatter(); formatter.setWidth(120); formatter.printHelp(this.getClass().getName(), options); ToolRunner.printGenericCommandUsage(System.out); return -1; } String inputPath = cmdline.getOptionValue(INPUT) + "/part-r-00000"; String outputPath = cmdline.getOptionValue(OUTPUT); String dataPath = cmdline.getOptionValue(INPUT) + "/common"; //String inputPath = "/home/qiwang321/mapreduce-data/data/in-mingled1-5/part*"; //String outputPath = "output"; //String dataPath = "/home/qiwang321/mapreduce-data/data/in-mingled1-5/common"; int reduceTasks = cmdline.hasOption(NUM_REDUCERS) ? Integer.parseInt(cmdline.getOptionValue(NUM_REDUCERS)) : 1; LOG.info("Tool: " + AutoCoderLocal.class.getSimpleName()); LOG.info(" - input path: " + inputPath); LOG.info(" - output path: " + outputPath); LOG.info(" - number of reducers: " + reduceTasks); Configuration conf = getConf(); initialParameters(conf); conf.set("dataPath", dataPath); Job job = Job.getInstance(conf); job.setJobName(AutoCoderLocal.class.getSimpleName()); job.setJarByClass(AutoCoderLocal.class); // set the path of the information of k clusters in this iteration job.getConfiguration().set("sidepath", inputPath + "/side_output"); job.setNumReduceTasks(reduceTasks); dataShuffle(); FileInputFormat.setInputPaths(job, new Path(inputPath)); FileOutputFormat.setOutputPath(job, new Path(outputPath)); FileInputFormat.setMinInputSplitSize(job, 1000 * 1024 * 1024); FileInputFormat.setMaxInputSplitSize(job, 1000 * 1024 * 1024); job.setInputFormatClass(TextInputFormat.class); job.setOutputFormatClass(SequenceFileOutputFormat.class); job.setMapOutputKeyClass(IntWritable.class); job.setMapOutputValueClass(ModelNode.class); job.setOutputKeyClass(NullWritable.class); job.setOutputValueClass(SuperModel.class); job.setMapperClass(MyMapper.class); job.setReducerClass(MyReducer.class); job.setPartitionerClass(MyPartitioner.class); // Delete the output directory if it exists already. Path outputDir = new Path(outputPath); FileSystem.get(getConf()).delete(outputDir, true); long startTime = System.currentTimeMillis(); job.waitForCompletion(true); LOG.info("Job Finished in " + (System.currentTimeMillis() - startTime) / 1000.0 + " seconds"); //prepareNextIteration(inputPath0, outputPath,iterations,conf,reduceTasks); return 0; }
From source file:bigsidemodel.AutoCoder.java
License:Apache License
/** * Runs this tool./*www. j a va 2 s. co m*/ */ @SuppressWarnings({ "static-access" }) public int run(String[] args) throws Exception { Options options = new Options(); options.addOption(OptionBuilder.withArgName("path").hasArg().withDescription("input path").create(INPUT)); options.addOption(OptionBuilder.withArgName("path").hasArg().withDescription("output path").create(OUTPUT)); options.addOption(OptionBuilder.withArgName("num").hasArg().withDescription("number of reducers") .create(NUM_REDUCERS)); CommandLine cmdline; CommandLineParser parser = new GnuParser(); try { cmdline = parser.parse(options, args); } catch (ParseException exp) { System.err.println("Error parsing command line: " + exp.getMessage()); return -1; } /*if (!cmdline.hasOption(INPUT) || !cmdline.hasOption(OUTPUT)) { System.out.println("args: " + Arrays.toString(args)); HelpFormatter formatter = new HelpFormatter(); formatter.setWidth(120); formatter.printHelp(this.getClass().getName(), options); ToolRunner.printGenericCommandUsage(System.out); return -1; }*/ //String inputPath = cmdline.getOptionValue(INPUT); //String outputPath = cmdline.getOptionValue(OUTPUT); String inputPath = "qiwang321/best5-mingled-key-56x56/part*"; String outputPath = "shangfu/bigoutput"; int reduceTasks = cmdline.hasOption(NUM_REDUCERS) ? Integer.parseInt(cmdline.getOptionValue(NUM_REDUCERS)) : 1; LOG.info("Tool: " + AutoCoder.class.getSimpleName()); LOG.info(" - input path: " + inputPath); LOG.info(" - output path: " + outputPath + "0"); LOG.info(" - number of reducers: " + reduceTasks); Configuration conf = getConf(); conf.setInt("num_reduce_task", reduceTasks); conf.set("sidepath", outputPath + "_side/"); Job job0 = Job.getInstance(conf); job0.setJobName(AutoCoder.class.getSimpleName()); job0.setJarByClass(AutoCoder.class); // set the path of the information of k clusters in this iteration job0.setNumReduceTasks(reduceTasks); FileInputFormat.setInputPaths(job0, new Path(inputPath)); FileOutputFormat.setOutputPath(job0, new Path(outputPath + "0")); job0.setInputFormatClass(KeyValueTextInputFormat.class); job0.setOutputFormatClass(SequenceFileOutputFormat.class); job0.setMapOutputKeyClass(PairOfInts.class); job0.setMapOutputValueClass(DataNode.class); job0.setOutputKeyClass(PairOfInts.class); job0.setOutputValueClass(DataNode.class); job0.setMapperClass(MyMapper0.class); job0.setReducerClass(MyReducer0.class); job0.setPartitionerClass(MyPartitioner.class); // Delete the output directory if it exists already. Path outputDir = new Path(outputPath + "0"); FileSystem.get(getConf()).delete(outputDir, true); long codeStart = System.currentTimeMillis(); double jobTimeSum = 0; long startTime = System.currentTimeMillis(); job0.waitForCompletion(true); LOG.info("Job Finished in " + (System.currentTimeMillis() - startTime) / 1000.0 + " seconds"); jobTimeSum += (System.currentTimeMillis() - startTime) / 1000.0; //======= Job 1 LOG.info("Tool: " + AutoCoder.class.getSimpleName()); LOG.info(" - input path: " + outputPath + "0"); LOG.info(" - output path: " + outputPath + "1"); LOG.info(" - number of reducers: " + 1); int nModel = reduceTasks; reduceTasks = 1; Job job1 = Job.getInstance(conf); job1.setJobName(AutoCoder.class.getSimpleName()); job1.setJarByClass(AutoCoder.class); // set the path of the information of k clusters in this iteration job1.setNumReduceTasks(reduceTasks); FileInputFormat.setInputPaths(job1, new Path(outputPath + "0")); FileOutputFormat.setOutputPath(job1, new Path(outputPath + "1")); job1.setInputFormatClass(SequenceFileInputFormat.class); job1.setOutputFormatClass(SequenceFileOutputFormat.class); job1.setMapOutputKeyClass(PairOfInts.class); job1.setMapOutputValueClass(DataNode.class); job1.setOutputKeyClass(NullWritable.class); job1.setOutputValueClass(NullWritable.class); job1.setMapperClass(MyMapper1.class); job1.setReducerClass(MyReducer1.class); job1.setPartitionerClass(MyPartitioner.class); // Delete the output directory if it exists already. outputDir = new Path(outputPath + "1"); FileSystem.get(getConf()).delete(outputDir, true); startTime = System.currentTimeMillis(); job1.waitForCompletion(true); LOG.info("Job Finished in " + (System.currentTimeMillis() - startTime) / 1000.0 + " seconds"); jobTimeSum += (System.currentTimeMillis() - startTime) / 1000.0; LOG.info("Final Time: " + ((System.currentTimeMillis() - codeStart) / 1000.0) + " seconds, " + jobTimeSum + " seconds."); return 0; }