List of usage examples for org.apache.hadoop.mapreduce Job setOutputFormatClass
public void setOutputFormatClass(Class<? extends OutputFormat> cls) throws IllegalStateException
From source file:com.phantom.hadoop.examples.Grep.java
License:Apache License
public int run(String[] args) throws Exception { if (args.length < 3) { System.out.println("Grep <inDir> <outDir> <regex> [<group>]"); ToolRunner.printGenericCommandUsage(System.out); return 2; }/* w ww. j av a 2 s .co m*/ Path tempDir = new Path("grep-temp-" + Integer.toString(new Random().nextInt(Integer.MAX_VALUE))); Configuration conf = getConf(); conf.set(RegexMapper.PATTERN, args[2]); if (args.length == 4) conf.set(RegexMapper.GROUP, args[3]); Job grepJob = new Job(conf); try { grepJob.setJobName("grep-search"); FileInputFormat.setInputPaths(grepJob, args[0]); grepJob.setMapperClass(RegexMapper.class); grepJob.setCombinerClass(LongSumReducer.class); grepJob.setReducerClass(LongSumReducer.class); FileOutputFormat.setOutputPath(grepJob, tempDir); grepJob.setOutputFormatClass(SequenceFileOutputFormat.class); grepJob.setOutputKeyClass(Text.class); grepJob.setOutputValueClass(LongWritable.class); grepJob.waitForCompletion(true); Job sortJob = new Job(conf); sortJob.setJobName("grep-sort"); FileInputFormat.setInputPaths(sortJob, tempDir); sortJob.setInputFormatClass(SequenceFileInputFormat.class); sortJob.setMapperClass(InverseMapper.class); sortJob.setNumReduceTasks(1); // write a single file FileOutputFormat.setOutputPath(sortJob, new Path(args[1])); sortJob.setSortComparatorClass( // sort by decreasing freq LongWritable.DecreasingComparator.class); sortJob.waitForCompletion(true); } finally { FileSystem.get(conf).delete(tempDir, true); } return 0; }
From source file:com.phantom.hadoop.examples.Join.java
License:Apache License
/** * The main driver for sort program. Invoke this method to submit the * map/reduce job.//from ww w . j av a2 s.co m * * @throws IOException * When there is communication problems with the job tracker. */ @SuppressWarnings("unchecked") public int run(String[] args) throws Exception { Configuration conf = getConf(); JobClient client = new JobClient(conf); ClusterStatus cluster = client.getClusterStatus(); int num_reduces = (int) (cluster.getMaxReduceTasks() * 0.9); String join_reduces = conf.get(REDUCES_PER_HOST); if (join_reduces != null) { num_reduces = cluster.getTaskTrackers() * Integer.parseInt(join_reduces); } Job job = new Job(conf); job.setJobName("join"); job.setJarByClass(Sort.class); job.setMapperClass(Mapper.class); job.setReducerClass(Reducer.class); Class<? extends InputFormat> inputFormatClass = SequenceFileInputFormat.class; Class<? extends OutputFormat> outputFormatClass = SequenceFileOutputFormat.class; Class<? extends WritableComparable> outputKeyClass = BytesWritable.class; Class<? extends Writable> outputValueClass = TupleWritable.class; String op = "inner"; List<String> otherArgs = new ArrayList<String>(); for (int i = 0; i < args.length; ++i) { try { if ("-r".equals(args[i])) { num_reduces = Integer.parseInt(args[++i]); } else if ("-inFormat".equals(args[i])) { inputFormatClass = Class.forName(args[++i]).asSubclass(InputFormat.class); } else if ("-outFormat".equals(args[i])) { outputFormatClass = Class.forName(args[++i]).asSubclass(OutputFormat.class); } else if ("-outKey".equals(args[i])) { outputKeyClass = Class.forName(args[++i]).asSubclass(WritableComparable.class); } else if ("-outValue".equals(args[i])) { outputValueClass = Class.forName(args[++i]).asSubclass(Writable.class); } else if ("-joinOp".equals(args[i])) { op = args[++i]; } else { otherArgs.add(args[i]); } } catch (NumberFormatException except) { System.out.println("ERROR: Integer expected instead of " + args[i]); return printUsage(); } catch (ArrayIndexOutOfBoundsException except) { System.out.println("ERROR: Required parameter missing from " + args[i - 1]); return printUsage(); // exits } } // Set user-supplied (possibly default) job configs job.setNumReduceTasks(num_reduces); if (otherArgs.size() < 2) { System.out.println("ERROR: Wrong number of parameters: "); return printUsage(); } FileOutputFormat.setOutputPath(job, new Path(otherArgs.remove(otherArgs.size() - 1))); List<Path> plist = new ArrayList<Path>(otherArgs.size()); for (String s : otherArgs) { plist.add(new Path(s)); } job.setInputFormatClass(CompositeInputFormat.class); job.getConfiguration().set(CompositeInputFormat.JOIN_EXPR, CompositeInputFormat.compose(op, inputFormatClass, plist.toArray(new Path[0]))); job.setOutputFormatClass(outputFormatClass); job.setOutputKeyClass(outputKeyClass); job.setOutputValueClass(outputValueClass); Date startTime = new Date(); System.out.println("Job started: " + startTime); int ret = job.waitForCompletion(true) ? 0 : 1; Date end_time = new Date(); System.out.println("Job ended: " + end_time); System.out.println("The job took " + (end_time.getTime() - startTime.getTime()) / 1000 + " seconds."); return ret; }
From source file:com.phantom.hadoop.examples.QuasiMonteCarlo.java
License:Apache License
/** * Run a map/reduce job for estimating Pi. * * @return the estimated value of Pi//w ww . j av a2 s . c o m */ public static BigDecimal estimatePi(int numMaps, long numPoints, Path tmpDir, Configuration conf) throws IOException, ClassNotFoundException, InterruptedException { Job job = new Job(conf); // setup job conf job.setJobName(QuasiMonteCarlo.class.getSimpleName()); job.setJarByClass(QuasiMonteCarlo.class); job.setInputFormatClass(SequenceFileInputFormat.class); job.setOutputKeyClass(BooleanWritable.class); job.setOutputValueClass(LongWritable.class); job.setOutputFormatClass(SequenceFileOutputFormat.class); job.setMapperClass(QmcMapper.class); job.setReducerClass(QmcReducer.class); job.setNumReduceTasks(1); // turn off speculative execution, because DFS doesn't handle // multiple writers to the same file. job.setSpeculativeExecution(false); // setup input/output directories final Path inDir = new Path(tmpDir, "in"); final Path outDir = new Path(tmpDir, "out"); FileInputFormat.setInputPaths(job, inDir); FileOutputFormat.setOutputPath(job, outDir); final FileSystem fs = FileSystem.get(conf); if (fs.exists(tmpDir)) { throw new IOException( "Tmp directory " + fs.makeQualified(tmpDir) + " already exists. Please remove it first."); } if (!fs.mkdirs(inDir)) { throw new IOException("Cannot create input directory " + inDir); } try { // generate an input file for each map task for (int i = 0; i < numMaps; ++i) { final Path file = new Path(inDir, "part" + i); final LongWritable offset = new LongWritable(i * numPoints); final LongWritable size = new LongWritable(numPoints); final SequenceFile.Writer writer = SequenceFile.createWriter(fs, conf, file, LongWritable.class, LongWritable.class, CompressionType.NONE); try { writer.append(offset, size); } finally { writer.close(); } System.out.println("Wrote input for Map #" + i); } // start a map/reduce job System.out.println("Starting Job"); final long startTime = System.currentTimeMillis(); job.waitForCompletion(true); final double duration = (System.currentTimeMillis() - startTime) / 1000.0; System.out.println("Job Finished in " + duration + " seconds"); // read outputs Path inFile = new Path(outDir, "reduce-out"); LongWritable numInside = new LongWritable(); LongWritable numOutside = new LongWritable(); SequenceFile.Reader reader = new SequenceFile.Reader(fs, inFile, conf); try { reader.next(numInside, numOutside); } finally { reader.close(); } // compute estimated value final BigDecimal numTotal = BigDecimal.valueOf(numMaps).multiply(BigDecimal.valueOf(numPoints)); return BigDecimal.valueOf(4).setScale(20).multiply(BigDecimal.valueOf(numInside.get())).divide(numTotal, RoundingMode.HALF_UP); } finally { fs.delete(tmpDir, true); } }
From source file:com.phantom.hadoop.examples.RandomTextWriter.java
License:Apache License
/** * This is the main routine for launching a distributed random write job. It * runs 10 maps/node and each node writes 1 gig of data to a DFS file. The * reduce doesn't do anything.//from w w w .ja v a2 s. c o m * * @throws IOException */ public int run(String[] args) throws Exception { if (args.length == 0) { return printUsage(); } Configuration conf = getConf(); JobClient client = new JobClient(conf); ClusterStatus cluster = client.getClusterStatus(); int numMapsPerHost = conf.getInt(MAPS_PER_HOST, 10); long numBytesToWritePerMap = conf.getLong(BYTES_PER_MAP, 1 * 1024 * 1024 * 1024); if (numBytesToWritePerMap == 0) { System.err.println("Cannot have " + BYTES_PER_MAP + " set to 0"); return -2; } long totalBytesToWrite = conf.getLong(TOTAL_BYTES, numMapsPerHost * numBytesToWritePerMap * cluster.getTaskTrackers()); int numMaps = (int) (totalBytesToWrite / numBytesToWritePerMap); if (numMaps == 0 && totalBytesToWrite > 0) { numMaps = 1; conf.setLong(BYTES_PER_MAP, totalBytesToWrite); } conf.setInt(MRJobConfig.NUM_MAPS, numMaps); Job job = new Job(conf); job.setJarByClass(RandomTextWriter.class); job.setJobName("random-text-writer"); job.setOutputKeyClass(Text.class); job.setOutputValueClass(Text.class); job.setInputFormatClass(RandomWriter.RandomInputFormat.class); job.setMapperClass(RandomTextMapper.class); Class<? extends OutputFormat> outputFormatClass = SequenceFileOutputFormat.class; List<String> otherArgs = new ArrayList<String>(); for (int i = 0; i < args.length; ++i) { try { if ("-outFormat".equals(args[i])) { outputFormatClass = Class.forName(args[++i]).asSubclass(OutputFormat.class); } else { otherArgs.add(args[i]); } } catch (ArrayIndexOutOfBoundsException except) { System.out.println("ERROR: Required parameter missing from " + args[i - 1]); return printUsage(); // exits } } job.setOutputFormatClass(outputFormatClass); FileOutputFormat.setOutputPath(job, new Path(otherArgs.get(0))); System.out.println("Running " + numMaps + " maps."); // reducer NONE job.setNumReduceTasks(0); Date startTime = new Date(); System.out.println("Job started: " + startTime); int ret = job.waitForCompletion(true) ? 0 : 1; Date endTime = new Date(); System.out.println("Job ended: " + endTime); System.out.println("The job took " + (endTime.getTime() - startTime.getTime()) / 1000 + " seconds."); return ret; }
From source file:com.phantom.hadoop.examples.RandomWriter.java
License:Apache License
/** * This is the main routine for launching a distributed random write job. It * runs 10 maps/node and each node writes 1 gig of data to a DFS file. The * reduce doesn't do anything.//from w ww .ja v a 2s . co m * * @throws IOException */ public int run(String[] args) throws Exception { if (args.length == 0) { System.out.println("Usage: writer <out-dir>"); ToolRunner.printGenericCommandUsage(System.out); return 2; } Path outDir = new Path(args[0]); Configuration conf = getConf(); JobClient client = new JobClient(conf); ClusterStatus cluster = client.getClusterStatus(); int numMapsPerHost = conf.getInt(MAPS_PER_HOST, 10); long numBytesToWritePerMap = conf.getLong(BYTES_PER_MAP, 1 * 1024 * 1024 * 1024); if (numBytesToWritePerMap == 0) { System.err.println("Cannot have" + BYTES_PER_MAP + " set to 0"); return -2; } long totalBytesToWrite = conf.getLong(TOTAL_BYTES, numMapsPerHost * numBytesToWritePerMap * cluster.getTaskTrackers()); int numMaps = (int) (totalBytesToWrite / numBytesToWritePerMap); if (numMaps == 0 && totalBytesToWrite > 0) { numMaps = 1; conf.setLong(BYTES_PER_MAP, totalBytesToWrite); } conf.setInt(MRJobConfig.NUM_MAPS, numMaps); Job job = new Job(conf); job.setJarByClass(RandomWriter.class); job.setJobName("random-writer"); FileOutputFormat.setOutputPath(job, outDir); job.setOutputKeyClass(BytesWritable.class); job.setOutputValueClass(BytesWritable.class); job.setInputFormatClass(RandomInputFormat.class); job.setMapperClass(RandomMapper.class); job.setReducerClass(Reducer.class); job.setOutputFormatClass(SequenceFileOutputFormat.class); System.out.println("Running " + numMaps + " maps."); // reducer NONE job.setNumReduceTasks(0); Date startTime = new Date(); System.out.println("Job started: " + startTime); int ret = job.waitForCompletion(true) ? 0 : 1; Date endTime = new Date(); System.out.println("Job ended: " + endTime); System.out.println("The job took " + (endTime.getTime() - startTime.getTime()) / 1000 + " seconds."); return ret; }
From source file:com.phantom.hadoop.examples.terasort.TeraGen.java
License:Apache License
/** * @param args/* w ww.j a v a 2 s . c om*/ * the cli arguments */ public int run(String[] args) throws IOException, InterruptedException, ClassNotFoundException { Job job = Job.getInstance(getConf()); if (args.length != 2) { usage(); return 2; } setNumberOfRows(job, parseHumanLong(args[0])); Path outputDir = new Path(args[1]); if (outputDir.getFileSystem(getConf()).exists(outputDir)) { throw new IOException("Output directory " + outputDir + " already exists."); } FileOutputFormat.setOutputPath(job, outputDir); job.setJobName("TeraGen"); job.setJarByClass(TeraGen.class); job.setMapperClass(SortGenMapper.class); job.setNumReduceTasks(0); job.setOutputKeyClass(Text.class); job.setOutputValueClass(Text.class); job.setInputFormatClass(RangeInputFormat.class); job.setOutputFormatClass(TeraOutputFormat.class); return job.waitForCompletion(true) ? 0 : 1; }
From source file:com.phantom.hadoop.examples.terasort.TeraSort.java
License:Apache License
public int run(String[] args) throws Exception { LOG.info("starting"); Job job = Job.getInstance(getConf()); Path inputDir = new Path(args[0]); Path outputDir = new Path(args[1]); boolean useSimplePartitioner = getUseSimplePartitioner(job); TeraInputFormat.setInputPaths(job, inputDir); FileOutputFormat.setOutputPath(job, outputDir); job.setJobName("TeraSort"); job.setJarByClass(TeraSort.class); job.setOutputKeyClass(Text.class); job.setOutputValueClass(Text.class); job.setInputFormatClass(TeraInputFormat.class); job.setOutputFormatClass(TeraOutputFormat.class); if (useSimplePartitioner) { job.setPartitionerClass(SimplePartitioner.class); } else {//from ww w . j a v a2 s. c o m long start = System.currentTimeMillis(); Path partitionFile = new Path(outputDir, TeraInputFormat.PARTITION_FILENAME); URI partitionUri = new URI(partitionFile.toString() + "#" + TeraInputFormat.PARTITION_FILENAME); try { TeraInputFormat.writePartitionFile(job, partitionFile); } catch (Throwable e) { LOG.error(e.getMessage()); return -1; } job.addCacheFile(partitionUri); long end = System.currentTimeMillis(); System.out.println("Spent " + (end - start) + "ms computing partitions."); job.setPartitionerClass(TotalOrderPartitioner.class); } job.getConfiguration().setInt("dfs.replication", getOutputReplication(job)); TeraOutputFormat.setFinalSync(job, true); int ret = job.waitForCompletion(true) ? 0 : 1; LOG.info("done"); return ret; }
From source file:com.philiphubbard.digraph.MRBuildVertices.java
License:Open Source License
public static void setupJob(Job job, Path inputPath, Path outputPath) throws IOException { job.setJarByClass(MRBuildVertices.class); job.setMapperClass(MRBuildVertices.Mapper.class); job.setCombinerClass(MRBuildVertices.Reducer.class); job.setReducerClass(MRBuildVertices.Reducer.class); job.setMapOutputKeyClass(IntWritable.class); job.setMapOutputValueClass(BytesWritable.class); job.setOutputKeyClass(IntWritable.class); job.setOutputValueClass(BytesWritable.class); job.setOutputFormatClass(SequenceFileOutputFormat.class); FileInputFormat.addInputPath(job, inputPath); FileOutputFormat.setOutputPath(job, outputPath); }
From source file:com.philiphubbard.digraph.MRCompressChains.java
License:Open Source License
public static void setupIterationJob(Job job, Path inputPathOrig, Path outputPathOrig) throws IOException { job.setJarByClass(MRCompressChains.class); job.setMapperClass(MRCompressChains.Mapper.class); job.setCombinerClass(MRCompressChains.Reducer.class); job.setReducerClass(MRCompressChains.Reducer.class); job.setMapOutputKeyClass(IntWritable.class); job.setMapOutputValueClass(BytesWritable.class); job.setOutputKeyClass(IntWritable.class); job.setOutputValueClass(BytesWritable.class); job.setInputFormatClass(SequenceFileInputFormat.class); job.setOutputFormatClass(SequenceFileOutputFormat.class); Path inputPath;/*from w w w . j av a2s .c o m*/ if (iter == 0) inputPath = inputPathOrig; else inputPath = new Path(outputPathOrig.toString() + (iter - 1)); Path outputPath = new Path(outputPathOrig.toString() + iter); FileInputFormat.setInputPaths(job, inputPath); FileOutputFormat.setOutputPath(job, outputPath); }
From source file:com.pivotal.gfxd.demo.mapreduce.LoadAverage.java
License:Open Source License
/** * This method is assuming fs.default.name as args[0] * * @param args//w w w. jav a 2s . c o m * @return * @throws Exception */ @Override public int run(String[] args) throws Exception { System.out.println("Starting MapReduce Job"); GfxdDataSerializable.initTypes(); Configuration conf = new Configuration(); //Configuration conf = getConf(); Path outputPath = new Path("/output"); String hdfsHomeDir = "/sensorStore"; //args[1]; String tableName = "RAW_SENSOR"; String outTableName = "LOAD_AVERAGES_SHADOW"; String gfxdURL = conf.get("gemfirexd.url", "jdbc:gemfirexd://localhost:1527"); // conf.set("fs.default.name", args[0]); String hdfsUrl = conf.get("fs.defaultFS"); FileSystem hdfs = FileSystem.get(new URI(hdfsUrl), conf); // Retrieve last run timestamp long now = System.currentTimeMillis(); long lastStart = getLastStart(hdfs); outputPath.getFileSystem(conf).delete(outputPath, true); conf.set(RowInputFormat.HOME_DIR, hdfsHomeDir); conf.set(RowInputFormat.INPUT_TABLE, tableName); conf.setBoolean(RowInputFormat.CHECKPOINT_MODE, false); conf.setLong(RowInputFormat.START_TIME_MILLIS, lastStart); conf.setLong(RowInputFormat.END_TIME_MILLIS, now); conf.set(RowOutputFormat.OUTPUT_URL, gfxdURL); conf.set(RowOutputFormat.OUTPUT_TABLE, outTableName); // print config to troubleshoot possible issues // Configuration.dumpConfiguration(conf, new PrintWriter(System.out)); Job job = Job.getInstance(conf, "LoadAverage"); job.setNumReduceTasks(1); job.setInputFormatClass(RowInputFormat.class); // configure mapper and reducer job.setJarByClass(LoadAverage.class); job.setMapperClass(LoadAverageMapper.class); job.setReducerClass(LoadAverageReducer.class); job.setMapOutputKeyClass(Text.class); job.setMapOutputValueClass(LoadKey.class); TextOutputFormat.setOutputPath(job, outputPath); job.setOutputFormatClass(RowOutputFormat.class); job.setOutputKeyClass(Key.class); job.setOutputValueClass(LoadAverageModel.class); boolean jobSuccess = job.waitForCompletion(true); if (jobSuccess) { writeLastStart(hdfs, now); } return jobSuccess ? 0 : 1; }