List of usage examples for org.apache.hadoop.mapred JobConf setOutputFormat
public void setOutputFormat(Class<? extends OutputFormat> theClass)
From source file:edu.umd.cloud9.demo.DemoWordCountTuple2.java
License:Apache License
/** * Runs this tool.//from w ww . j a va 2 s .com */ public int run(String[] args) throws Exception { if (args.length != 4) { printUsage(); return -1; } String inputPath = args[0]; String outputPath = args[1]; int numMapTasks = Integer.parseInt(args[2]); int numReduceTasks = Integer.parseInt(args[3]); sLogger.info("Tool: DemoWordCountTuple2"); sLogger.info(" - input path: " + inputPath); sLogger.info(" - output path: " + outputPath); sLogger.info(" - number of mappers: " + numMapTasks); sLogger.info(" - number of reducers: " + numReduceTasks); JobConf conf = new JobConf(DemoWordCountTuple2.class); conf.setJobName("DemoWordCountTuple2"); conf.setNumMapTasks(numMapTasks); conf.setNumReduceTasks(numReduceTasks); FileInputFormat.setInputPaths(conf, new Path(inputPath)); FileOutputFormat.setOutputPath(conf, new Path(outputPath)); FileOutputFormat.setCompressOutput(conf, false); conf.setInputFormat(SequenceFileInputFormat.class); conf.setOutputKeyClass(Tuple.class); conf.setOutputValueClass(IntWritable.class); conf.setOutputFormat(SequenceFileOutputFormat.class); conf.setMapperClass(MapClass.class); conf.setCombinerClass(ReduceClass.class); conf.setReducerClass(ReduceClass.class); // Delete the output directory if it exists already Path outputDir = new Path(outputPath); FileSystem.get(conf).delete(outputDir, true); long startTime = System.currentTimeMillis(); JobClient.runJob(conf); sLogger.info("Job Finished in " + (System.currentTimeMillis() - startTime) / 1000.0 + " seconds"); return 0; }
From source file:edu.umd.cloud9.example.simple.DemoMapredNullInput.java
License:Apache License
/** * Runs the demo.//from w w w.j a v a 2 s. c om */ public static void main(String[] args) throws IOException { JobConf conf = new JobConf(DemoMapredNullInput.class); conf.setJobName("DemoMapredNullInput"); conf.setNumMapTasks(10); conf.setNumReduceTasks(0); conf.setInputFormat(NullInputFormat.class); conf.setOutputFormat(NullOutputFormat.class); conf.setMapperClass(MyMapper.class); JobClient.runJob(conf); }
From source file:edu.umd.cloud9.example.simple.DemoNullInput.java
License:Apache License
/** * Runs the demo.//w ww .java 2 s . c o m */ public static void main(String[] args) throws IOException { JobConf conf = new JobConf(DemoNullInput.class); conf.setJobName("DemoNullInput"); conf.setNumMapTasks(10); conf.setNumReduceTasks(0); conf.setInputFormat(NullInputFormat.class); conf.setOutputFormat(NullOutputFormat.class); conf.setMapperClass(MyMapper.class); JobClient.runJob(conf); }
From source file:edu.umd.cloud9.io.benchmark.HadoopSortRandomPairsOfInts.java
License:Apache License
/** * Runs this benchmark.// w w w . ja va 2 s. c om */ public static void main(String[] args) throws IOException { String inputPath = "random-pairs.seq"; String outputPath = "random-pairs.sorted"; int numMapTasks = 1; int numReduceTasks = 1; JobConf conf = new JobConf(HadoopSortRandomPairsOfInts.class); conf.setJobName("SortRandomPairsOfInts"); conf.setNumMapTasks(numMapTasks); conf.setNumReduceTasks(numReduceTasks); FileInputFormat.setInputPaths(conf, new Path(inputPath)); FileOutputFormat.setOutputPath(conf, new Path(outputPath)); FileOutputFormat.setCompressOutput(conf, false); conf.setInputFormat(SequenceFileInputFormat.class); conf.setOutputKeyClass(PairOfInts.class); conf.setOutputValueClass(IntWritable.class); conf.setOutputFormat(TextOutputFormat.class); conf.setMapperClass(IdentityMapper.class); conf.setCombinerClass(IdentityReducer.class); conf.setReducerClass(IdentityReducer.class); // Delete the output directory if it exists already Path outputDir = new Path(outputPath); FileSystem.get(conf).delete(outputDir, true); long startTime; double duration; startTime = System.currentTimeMillis(); JobClient.runJob(conf); duration = (System.currentTimeMillis() - startTime) / 1000.0; System.out.println("Job took " + duration + " seconds"); }
From source file:edu.umd.cloud9.pagerank.BuildPageRankRecords.java
License:Apache License
/** * Runs this tool./* ww w .j a va2s. c om*/ */ public int run(String[] args) throws Exception { if (args.length != 3) { printUsage(); return -1; } String inputPath = args[0]; String outputPath = args[1]; int n = Integer.parseInt(args[2]); sLogger.info("Tool name: BuildPageRankRecords"); sLogger.info(" - inputDir: " + inputPath); sLogger.info(" - outputDir: " + outputPath); sLogger.info(" - numNodes: " + n); JobConf conf = new JobConf(BuildPageRankRecords.class); conf.setJobName("PackageLinkGraph"); conf.setNumMapTasks(1); conf.setNumReduceTasks(0); conf.setInt("NodeCnt", n); conf.setInt("mapred.min.split.size", 1024 * 1024 * 1024); TextInputFormat.addInputPath(conf, new Path(inputPath)); SequenceFileOutputFormat.setOutputPath(conf, new Path(outputPath)); conf.setInputFormat(TextInputFormat.class); conf.setOutputFormat(SequenceFileOutputFormat.class); conf.setMapOutputKeyClass(IntWritable.class); conf.setMapOutputValueClass(PageRankNode.class); conf.setOutputKeyClass(IntWritable.class); conf.setOutputValueClass(PageRankNode.class); conf.setMapperClass(MyMapper.class); conf.setReducerClass(IdentityReducer.class); // delete the output directory if it exists already FileSystem.get(conf).delete(new Path(outputPath), true); JobClient.runJob(conf); return 0; }
From source file:edu.umd.cloud9.pagerank.FindMaxPageRankNodes.java
License:Apache License
/** * Runs this tool./*from www . jav a2s.c om*/ */ public int run(String[] args) throws Exception { if (args.length != 3) { printUsage(); return -1; } String inputPath = args[0]; String outputPath = args[1]; int n = Integer.parseInt(args[2]); sLogger.info("Tool name: FindMaxPageRankNodes"); sLogger.info(" - input: " + inputPath); sLogger.info(" - output: " + outputPath); sLogger.info(" - n: " + n); JobConf conf = new JobConf(FindMaxPageRankNodes.class); conf.setJobName("FindMaxPageRankNodes"); conf.setNumMapTasks(1); conf.setNumReduceTasks(1); conf.setInt("mapred.min.split.size", 1024 * 1024 * 1024); conf.setInt("n", n); FileInputFormat.addInputPath(conf, new Path(inputPath)); FileOutputFormat.setOutputPath(conf, new Path(outputPath)); conf.setInputFormat(SequenceFileInputFormat.class); conf.setOutputFormat(TextOutputFormat.class); conf.setMapOutputKeyClass(IntWritable.class); conf.setMapOutputValueClass(FloatWritable.class); conf.setOutputKeyClass(IntWritable.class); conf.setOutputValueClass(FloatWritable.class); conf.setMapperClass(MyMapper.class); conf.setReducerClass(MyReducer.class); // delete the output directory if it exists already FileSystem.get(conf).delete(new Path(outputPath), true); JobClient.runJob(conf); return 0; }
From source file:edu.umd.cloud9.pagerank.PartitionGraph.java
License:Apache License
public int run(String[] args) throws IOException { if (args.length != 5) { printUsage();/* w w w . j a va 2s. c om*/ return -1; } String inPath = args[0]; String outPath = args[1]; int numParts = Integer.parseInt(args[2]); boolean useRange = Integer.parseInt(args[3]) != 0; int nodeCount = Integer.parseInt(args[4]); sLogger.info("Tool name: PartitionGraph"); sLogger.info(" - inputDir: " + inPath); sLogger.info(" - outputDir: " + outPath); sLogger.info(" - numPartitions: " + numParts); sLogger.info(" - useRange?: " + useRange); sLogger.info(" - nodeCnt: " + nodeCount); JobConf conf = new JobConf(PartitionGraph.class); conf.setJobName("Partition Graph " + numParts); conf.setNumReduceTasks(numParts); conf.setInt("mapred.min.split.size", 1024 * 1024 * 1024); conf.set("mapred.child.java.opts", "-Xmx2048m"); conf.setInt("NodeCount", nodeCount); FileInputFormat.setInputPaths(conf, new Path(inPath)); FileOutputFormat.setOutputPath(conf, new Path(outPath)); conf.setInputFormat(SequenceFileInputFormat.class); conf.setOutputFormat(SequenceFileOutputFormat.class); conf.setMapOutputKeyClass(IntWritable.class); conf.setMapOutputValueClass(PageRankNode.class); conf.setOutputKeyClass(IntWritable.class); conf.setOutputValueClass(PageRankNode.class); conf.setMapperClass(MapClass.class); conf.setReducerClass(ReduceClass.class); conf.setSpeculativeExecution(false); if (useRange) { conf.setPartitionerClass(RangePartitioner.class); } FileSystem.get(conf).delete(new Path(outPath), true); JobClient.runJob(conf); return 0; }
From source file:edu.umd.cloud9.pagerank.RunPageRankBasic.java
License:Apache License
private float phase1(String path, int i, int j, int n, boolean useCombiner, boolean useInmapCombiner, boolean useRange) throws IOException { JobConf conf = new JobConf(RunPageRankBasic.class); String in = path + "/iter" + sFormat.format(i); String out = path + "/iter" + sFormat.format(j) + "t"; String outm = out + "-mass"; // we need to actually count the number of part files to get the number // of partitions (because the directory might contain _log) int numPartitions = 0; for (FileStatus s : FileSystem.get(conf).listStatus(new Path(in))) { if (s.getPath().getName().contains("part-")) numPartitions++;//from www .j a va2 s. co m } sLogger.info("PageRank: iteration " + j + ": Phase1"); sLogger.info(" - input: " + in); sLogger.info(" - output: " + out); sLogger.info(" - nodeCnt: " + n); sLogger.info(" - useCombiner: " + useCombiner); sLogger.info(" - useInmapCombiner: " + useInmapCombiner); sLogger.info(" - useRange: " + useRange); sLogger.info("computed number of partitions: " + numPartitions); int numMapTasks = numPartitions; int numReduceTasks = numPartitions; conf.setJobName("PageRank:Basic:iteration" + j + ":Phase1"); conf.setInt("NodeCount", n); conf.setNumMapTasks(numMapTasks); conf.setNumReduceTasks(numReduceTasks); conf.setInt("mapred.min.split.size", 1024 * 1024 * 1024); conf.set("mapred.child.java.opts", "-Xmx2048m"); conf.set("PageRankMassPath", outm); FileInputFormat.setInputPaths(conf, new Path(in)); FileOutputFormat.setOutputPath(conf, new Path(out)); conf.setInputFormat(SequenceFileInputFormat.class); conf.setOutputFormat(SequenceFileOutputFormat.class); conf.setMapOutputKeyClass(IntWritable.class); conf.setMapOutputValueClass(PageRankNode.class); conf.setOutputKeyClass(IntWritable.class); conf.setOutputValueClass(PageRankNode.class); if (useInmapCombiner) { conf.setMapperClass(MapWithInMapperCombiningClass.class); } else { conf.setMapperClass(MapClass.class); } if (useCombiner) { conf.setCombinerClass(CombineClass.class); } if (useRange) { conf.setPartitionerClass(RangePartitioner.class); } conf.setReducerClass(ReduceClass.class); conf.setSpeculativeExecution(false); FileSystem.get(conf).delete(new Path(out), true); FileSystem.get(conf).delete(new Path(outm), true); JobClient.runJob(conf); float mass = Float.NEGATIVE_INFINITY; FileSystem fs = FileSystem.get(conf); for (FileStatus f : fs.listStatus(new Path(outm))) { FSDataInputStream fin = fs.open(f.getPath()); mass = sumLogProbs(mass, fin.readFloat()); fin.close(); } return mass; }
From source file:edu.umd.cloud9.pagerank.RunPageRankBasic.java
License:Apache License
private void phase2(String path, int i, int j, int n, float missing) throws IOException { JobConf conf = new JobConf(RunPageRankBasic.class); sLogger.info("missing PageRank mass: " + missing); sLogger.info("number of nodes: " + n); String in = path + "/iter" + sFormat.format(j) + "t"; String out = path + "/iter" + sFormat.format(j); sLogger.info("PageRank: iteration " + j + ": Phase2"); sLogger.info(" - input: " + in); sLogger.info(" - output: " + out); int numMapTasks = FileSystem.get(conf).listStatus(new Path(in)).length; int numReduceTasks = 0; conf.setJobName("PageRank:Basic:iteration" + j + ":Phase2"); conf.setInt("mapred.min.split.size", 1024 * 1024 * 1024); conf.setFloat("MissingMass", (float) missing); conf.setInt("NodeCount", n); conf.setNumMapTasks(numMapTasks);/*from w w w . j ava2s .c om*/ conf.setNumReduceTasks(numReduceTasks); FileInputFormat.setInputPaths(conf, new Path(in)); FileOutputFormat.setOutputPath(conf, new Path(out)); conf.setInputFormat(SequenceFileInputFormat.class); conf.setOutputFormat(SequenceFileOutputFormat.class); conf.setMapOutputKeyClass(IntWritable.class); conf.setMapOutputValueClass(PageRankNode.class); conf.setOutputKeyClass(IntWritable.class); conf.setOutputValueClass(PageRankNode.class); conf.setMapperClass(MapPageRankMassDistributionClass.class); conf.setCombinerClass(IdentityReducer.class); conf.setReducerClass(IdentityReducer.class); FileSystem.get(conf).delete(new Path(out), true); JobClient.runJob(conf); }
From source file:edu.umd.cloud9.pagerank.RunPageRankSchimmy.java
License:Apache License
private float phase1(String path, int i, int j, int n, boolean useCombiner, boolean useInmapCombiner, boolean useRange) throws IOException { JobConf conf = new JobConf(RunPageRankBasic.class); String in = path + "/iter" + sFormat.format(i); String out = path + "/iter" + sFormat.format(j) + "t"; String outm = out + "-mass"; FileSystem fs = FileSystem.get(conf); // we need to actually count the number of part files to get the number // of partitions (because the directory might contain _log) int numPartitions = 0; for (FileStatus s : FileSystem.get(conf).listStatus(new Path(in))) { if (s.getPath().getName().contains("part-")) numPartitions++;/* www . j a va2s .com*/ } conf.setInt("NodeCount", n); Partitioner p = null; if (useRange) { p = new RangePartitioner<IntWritable, Writable>(); p.configure(conf); } else { p = new HashPartitioner<WritableComparable, Writable>(); } // this is really annoying: the mapping between the partition numbers on // disk (i.e., part-XXXX) and what partition the file contains (i.e., // key.hash % #reducer) is arbitrary... so this means that we need to // open up each partition, peek inside to find out. IntWritable key = new IntWritable(); PageRankNode value = new PageRankNode(); FileStatus[] status = fs.listStatus(new Path(in)); StringBuilder sb = new StringBuilder(); for (FileStatus f : status) { if (f.getPath().getName().contains("_logs")) continue; SequenceFile.Reader reader = new SequenceFile.Reader(fs, f.getPath(), conf); reader.next(key, value); int np = p.getPartition(key, value, numPartitions); reader.close(); sLogger.info(f.getPath() + "\t" + np); sb.append(np + "=" + f.getPath() + "\t"); } sLogger.info(sb.toString().trim()); sLogger.info("PageRankSchimmy: iteration " + j + ": Phase1"); sLogger.info(" - input: " + in); sLogger.info(" - output: " + out); sLogger.info(" - nodeCnt: " + n); sLogger.info(" - useCombiner: " + useCombiner); sLogger.info(" - useInmapCombiner: " + useInmapCombiner); sLogger.info(" - numPartitions: " + numPartitions); sLogger.info(" - useRange: " + useRange); sLogger.info("computed number of partitions: " + numPartitions); int numMapTasks = numPartitions; int numReduceTasks = numPartitions; conf.setJobName("PageRankSchimmy:iteration" + j + ":Phase1"); conf.setNumMapTasks(numMapTasks); conf.setNumReduceTasks(numReduceTasks); conf.setInt("mapred.min.split.size", 1024 * 1024 * 1024); conf.set("mapred.child.java.opts", "-Xmx2048m"); conf.set("PageRankMassPath", outm); conf.set("BasePath", in); conf.set("PartitionMapping", sb.toString().trim()); FileInputFormat.setInputPaths(conf, new Path(in)); FileOutputFormat.setOutputPath(conf, new Path(out)); conf.setInputFormat(SequenceFileInputFormat.class); conf.setOutputFormat(SequenceFileOutputFormat.class); conf.setMapOutputKeyClass(IntWritable.class); conf.setMapOutputValueClass(FloatWritable.class); conf.setOutputKeyClass(IntWritable.class); conf.setOutputValueClass(PageRankNode.class); if (useInmapCombiner) { conf.setMapperClass(MapWithInMapperCombiningClass.class); } else { conf.setMapperClass(MapClass.class); } if (useCombiner) { conf.setCombinerClass(CombineClass.class); } if (useRange) { conf.setPartitionerClass(RangePartitioner.class); } conf.setReducerClass(ReduceClass.class); conf.setSpeculativeExecution(false); FileSystem.get(conf).delete(new Path(out), true); FileSystem.get(conf).delete(new Path(outm), true); JobClient.runJob(conf); float mass = Float.NEGATIVE_INFINITY; for (FileStatus f : fs.listStatus(new Path(outm))) { FSDataInputStream fin = fs.open(f.getPath()); mass = sumLogProbs(mass, fin.readFloat()); fin.close(); } return mass; }