List of usage examples for org.apache.hadoop.mapreduce Job submit
public void submit() throws IOException, InterruptedException, ClassNotFoundException
From source file:com.twitter.algebra.nmf.XtXJob.java
License:Apache License
public void run(Configuration conf, Path matrixInputPath, int numCols, String xmPath, Path matrixOutputPath) throws IOException, InterruptedException, ClassNotFoundException { conf = new Configuration(conf); conf.setInt(MATRIXCOLS, numCols);// ww w . j a v a 2 s . co m // conf.set(XMPATH, xmPath); FileSystem fs = FileSystem.get(matrixInputPath.toUri(), conf); NMFCommon.setNumberOfMapSlots(conf, fs, new Path[] { matrixInputPath }, "xtx"); @SuppressWarnings("deprecation") Job job = new Job(conf); job.setJobName("XtXJob-" + matrixOutputPath.getName()); job.setJarByClass(XtXJob.class); matrixInputPath = fs.makeQualified(matrixInputPath); matrixOutputPath = fs.makeQualified(matrixOutputPath); FileInputFormat.addInputPath(job, matrixInputPath); job.setInputFormatClass(SequenceFileInputFormat.class); FileOutputFormat.setOutputPath(job, matrixOutputPath); job.setMapperClass(MyMapper.class); job.setReducerClass(MyReducer.class); job.setMapOutputKeyClass(IntWritable.class); job.setMapOutputValueClass(VectorWritable.class); int numReducers = NMFCommon.getNumberOfReduceSlots(conf, "xtx"); job.setNumReduceTasks(numReducers); // ensures total order (when used with {@link MatrixOutputFormat}), RowPartitioner.setPartitioner(job, RowPartitioner.IntRowPartitioner.class, numCols); job.setOutputFormatClass(MatrixOutputFormat.class); job.setOutputKeyClass(IntWritable.class); job.setOutputValueClass(VectorWritable.class); job.submit(); job.waitForCompletion(true); }
From source file:com.twitter.algebra.TransposeJob.java
License:Apache License
/** * Perform transpose of A, where A refers to the path that contains a matrix * in {@link SequenceFileInputFormat}.//from ww w.j av a 2 s .c o m * * @param conf * the initial configuration * @param matrixInputPath * the path to the input files that we process * @param matrixOutputPath * the path of the resulting transpose matrix * @param numInputRows * rows * @param numInputCols * cols * @return the running job * @throws IOException * @throws InterruptedException * @throws ClassNotFoundException */ public void run(Configuration conf, Path matrixInputPath, Path matrixOutputPath, int numInputRows, int numInputCols) throws IOException, InterruptedException, ClassNotFoundException { conf.setInt(NUM_ORIG_ROWS_KEY, numInputRows); conf.setInt(RowPartitioner.TOTAL_KEYS, numInputCols); FileSystem fs = FileSystem.get(matrixInputPath.toUri(), conf); NMFCommon.setNumberOfMapSlots(conf, fs, matrixInputPath, "transpose"); @SuppressWarnings("deprecation") Job job = new Job(conf); job.setJarByClass(TransposeJob.class); job.setJobName(TransposeJob.class.getSimpleName()); matrixInputPath = fs.makeQualified(matrixInputPath); matrixOutputPath = fs.makeQualified(matrixOutputPath); FileInputFormat.addInputPath(job, matrixInputPath); job.setInputFormatClass(SequenceFileInputFormat.class); FileOutputFormat.setOutputPath(job, matrixOutputPath); job.setMapperClass(TransposeMapper.class); job.setMapOutputKeyClass(IntWritable.class); job.setMapOutputValueClass(VectorWritable.class); int numReducers = NMFCommon.getNumberOfReduceSlots(conf, "transpose"); job.setNumReduceTasks(numReducers); // job.setPartitionerClass(RowPartitioner.IntRowPartitioner.class); RowPartitioner.setPartitioner(job, RowPartitioner.IntRowPartitioner.class, numInputCols); job.setCombinerClass(MergeVectorsCombiner.class); job.setReducerClass(MergeVectorsReducer.class); job.setOutputFormatClass(MatrixOutputFormat.class); job.setOutputKeyClass(IntWritable.class); job.setOutputValueClass(VectorWritable.class); job.submit(); boolean res = job.waitForCompletion(true); if (!res) throw new IOException("Job failed!"); }
From source file:com.zjy.mongo.util.MongoTool.java
License:Apache License
private int runMapReduceJob(final Configuration conf) throws IOException { final Job job = Job.getInstance(conf, getJobName()); /**//from ww w.j a va2 s .co m * Any arguments specified with -D <property>=<value> * on the CLI will be picked up and set here * They override any XML level values * Note that -D<space> is important - no space will * not work as it gets picked up by Java itself */ // TODO - Do we need to set job name somehow more specifically? // This may or may not be correct/sane job.setJarByClass(getClass()); final Class<? extends Mapper> mapper = MongoConfigUtil.getMapper(conf); if (LOG.isDebugEnabled()) { LOG.debug("Mapper Class: " + mapper); LOG.debug("Input URI: " + conf.get(MongoConfigUtil.INPUT_URI)); } job.setMapperClass(mapper); Class<? extends Reducer> combiner = MongoConfigUtil.getCombiner(conf); if (combiner != null) { job.setCombinerClass(combiner); } job.setReducerClass(MongoConfigUtil.getReducer(conf)); job.setOutputFormatClass(MongoConfigUtil.getOutputFormat(conf)); job.setOutputKeyClass(MongoConfigUtil.getOutputKey(conf)); job.setOutputValueClass(MongoConfigUtil.getOutputValue(conf)); job.setInputFormatClass(MongoConfigUtil.getInputFormat(conf)); Class mapOutputKeyClass = MongoConfigUtil.getMapperOutputKey(conf); Class mapOutputValueClass = MongoConfigUtil.getMapperOutputValue(conf); if (mapOutputKeyClass != null) { job.setMapOutputKeyClass(mapOutputKeyClass); } if (mapOutputValueClass != null) { job.setMapOutputValueClass(mapOutputValueClass); } /** * Determines if the job will run verbosely e.g. print debug output * Only works with foreground jobs */ final boolean verbose = MongoConfigUtil.isJobVerbose(conf); /** * Run job in foreground aka wait for completion or background? */ final boolean background = MongoConfigUtil.isJobBackground(conf); try { if (background) { LOG.info("Setting up and running MapReduce job in background."); job.submit(); return 0; } else { LOG.info("Setting up and running MapReduce job in foreground, will wait for results. {Verbose? " + verbose + "}"); return job.waitForCompletion(true) ? 0 : 1; } } catch (final Exception e) { LOG.error("Exception while executing job... ", e); return 1; } }
From source file:DataCubeRefresh.Grep.java
License:Apache License
/** * Run function.// www. j a va 2 s.c o m * @param args arguments * @return error code * @throws Exception if an exception occurs */ public int run(String[] args) throws Exception { if (args.length < 3) { System.out.println("Grep <inUrl> <outUrl> <regex> [<group>]"); ToolRunner.printGenericCommandUsage(System.out); return -1; } Job grepJob = new Job(getConf()); Job sortJob = new Job(getConf()); String tempStreamTag = UUID.randomUUID().toString(); try { grepJob.setJobName("grep-search"); TextHStreamingInputFormat.addInputStream(grepJob, 1000, 600, -1, "", false, args[0]); HStreamingJobConf.setIsStreamingJob(grepJob, true); grepJob.setMapperClass(RegexMapper.class); grepJob.getConfiguration().set("mapred.mapper.regex", args[2]); if (args.length == 4) grepJob.getConfiguration().set("mapred.mapper.regex.group", args[3]); grepJob.setCombinerClass(LongSumReducer.class); grepJob.setReducerClass(LongSumReducer.class); grepJob.setInputFormatClass(TextHStreamingInputFormat.class); grepJob.setOutputFormatClass(TextHStreamingOutputFormat.class); HStreamingOutputFormat.setOutputStreamTag(grepJob, tempStreamTag); grepJob.setOutputKeyClass(Text.class); grepJob.setOutputValueClass(LongWritable.class); grepJob.setJobName("grep-search"); grepJob.setJarByClass(this.getClass()); grepJob.submit(); sortJob.setJobName("grep-sort"); sortJob.setInputFormatClass(TextHStreamingInputFormat.class); HStreamingJobConf.setIsStreamingJob(sortJob, true); // add previous stream partition/reducer 0 as input. HStreamingInputFormat.addInputStreamTag(sortJob, tempStreamTag, 0); sortJob.setMapperClass(InverseTextMapper.class); sortJob.setNumReduceTasks(1); // single output stream sortJob.setOutputFormatClass(TextHStreamingOutputFormat.class); TextHStreamingOutputFormat.setOutputPath(sortJob, args[1]); sortJob.setSortComparatorClass( // sort by decreasing fre LongWritable.DecreasingComparator.class); sortJob.setJarByClass(this.getClass()); sortJob.submit(); return sortJob.waitForCompletion(true) ? 0 : 1; } catch (Exception e) { e.printStackTrace(); try { grepJob.killJob(); } catch (Exception e1) { // ignore } try { sortJob.killJob(); } catch (Exception e2) { // ignore } } return 0; }
From source file:edu.berkeley.chukwa_xtrace.XtrExtract.java
License:Apache License
@Override public int run(String[] arg) throws Exception { Job extractor = new Job(getConf()); extractor.setMapperClass(MapClass.class); extractor.setReducerClass(Reduce.class); extractor.setJobName("x-trace reconstructor"); extractor.setJarByClass(this.getClass()); extractor.setMapOutputKeyClass(BytesWritable.class); extractor.setMapOutputValueClass(Text.class); extractor.setOutputKeyClass(BytesWritable.class); extractor.setOutputValueClass(TextArrayWritable.class); extractor.setInputFormatClass(SequenceFileInputFormat.class); extractor.setOutputFormatClass(SequenceFileOutputFormat.class); FileInputFormat.setInputPaths(extractor, new Path(arg[0])); FileOutputFormat.setOutputPath(extractor, new Path(arg[1])); System.out.println("looks OK. Submitting."); extractor.submit(); // extractor.waitForCompletion(false); return 0;//from w w w .ja va2 s . co m }
From source file:edu.berkeley.chukwa_xtrace.XtrIndex.java
License:Apache License
@Override public int run(String[] arg) throws Exception { Job extractor = new Job(getConf()); extractor.setMapperClass(MapClass.class); //no reduce, just identity extractor.setJobName("x-trace indexer"); extractor.setJarByClass(this.getClass()); extractor.setMapOutputKeyClass(BytesWritable.class); extractor.setMapOutputValueClass(TextArrayWritable.class); extractor.setOutputKeyClass(BytesWritable.class); extractor.setOutputValueClass(TextArrayWritable.class); extractor.setInputFormatClass(SequenceFileInputFormat.class); extractor.setOutputFormatClass(SequenceFileOutputFormat.class); FileInputFormat.setInputPaths(extractor, new Path(arg[0])); FileOutputFormat.setOutputPath(extractor, new Path(arg[1])); System.out.println("looks OK. Submitting."); extractor.submit(); // extractor.waitForCompletion(false); return 0;/* w w w . j a v a 2 s .c om*/ }
From source file:edu.nyu.vida.data_polygamy.feature_identification.IndexCreation.java
License:BSD License
/** * @param args//from w w w .j a v a 2s.c om */ @SuppressWarnings({ "deprecation" }) public static void main(String[] args) throws IOException, InterruptedException, ClassNotFoundException { Options options = new Options(); Option forceOption = new Option("f", "force", false, "force the computation of the index and events " + "even if files already exist"); forceOption.setRequired(false); options.addOption(forceOption); Option thresholdOption = new Option("t", "use-custom-thresholds", false, "use custom thresholds for regular and rare events, defined in HDFS_HOME/" + FrameworkUtils.thresholdDir + " file"); thresholdOption.setRequired(false); options.addOption(thresholdOption); Option gOption = new Option("g", "group", true, "set group of datasets for which the indices and events" + " will be computed"); gOption.setRequired(true); gOption.setArgName("GROUP"); gOption.setArgs(Option.UNLIMITED_VALUES); options.addOption(gOption); Option machineOption = new Option("m", "machine", true, "machine identifier"); machineOption.setRequired(true); machineOption.setArgName("MACHINE"); machineOption.setArgs(1); options.addOption(machineOption); Option nodesOption = new Option("n", "nodes", true, "number of nodes"); nodesOption.setRequired(true); nodesOption.setArgName("NODES"); nodesOption.setArgs(1); options.addOption(nodesOption); Option s3Option = new Option("s3", "s3", false, "data on Amazon S3"); s3Option.setRequired(false); options.addOption(s3Option); Option awsAccessKeyIdOption = new Option("aws_id", "aws-id", true, "aws access key id; " + "this is required if the execution is on aws"); awsAccessKeyIdOption.setRequired(false); awsAccessKeyIdOption.setArgName("AWS-ACCESS-KEY-ID"); awsAccessKeyIdOption.setArgs(1); options.addOption(awsAccessKeyIdOption); Option awsSecretAccessKeyOption = new Option("aws_key", "aws-id", true, "aws secrect access key; " + "this is required if the execution is on aws"); awsSecretAccessKeyOption.setRequired(false); awsSecretAccessKeyOption.setArgName("AWS-SECRET-ACCESS-KEY"); awsSecretAccessKeyOption.setArgs(1); options.addOption(awsSecretAccessKeyOption); Option bucketOption = new Option("b", "s3-bucket", true, "bucket on s3; " + "this is required if the execution is on aws"); bucketOption.setRequired(false); bucketOption.setArgName("S3-BUCKET"); bucketOption.setArgs(1); options.addOption(bucketOption); Option helpOption = new Option("h", "help", false, "display this message"); helpOption.setRequired(false); options.addOption(helpOption); HelpFormatter formatter = new HelpFormatter(); CommandLineParser parser = new PosixParser(); CommandLine cmd = null; try { cmd = parser.parse(options, args); } catch (ParseException e) { formatter.printHelp("hadoop jar data-polygamy.jar " + "edu.nyu.vida.data_polygamy.feature_identification.IndexCreation", options, true); System.exit(0); } if (cmd.hasOption("h")) { formatter.printHelp("hadoop jar data-polygamy.jar " + "edu.nyu.vida.data_polygamy.feature_identification.IndexCreation", options, true); System.exit(0); } boolean s3 = cmd.hasOption("s3"); String s3bucket = ""; String awsAccessKeyId = ""; String awsSecretAccessKey = ""; if (s3) { if ((!cmd.hasOption("aws_id")) || (!cmd.hasOption("aws_key")) || (!cmd.hasOption("b"))) { System.out.println( "Arguments 'aws_id', 'aws_key', and 'b'" + " are mandatory if execution is on AWS."); formatter.printHelp("hadoop jar data-polygamy.jar " + "edu.nyu.vida.data_polygamy.feature_identification.IndexCreation", options, true); System.exit(0); } s3bucket = cmd.getOptionValue("b"); awsAccessKeyId = cmd.getOptionValue("aws_id"); awsSecretAccessKey = cmd.getOptionValue("aws_key"); } boolean snappyCompression = false; boolean bzip2Compression = false; String machine = cmd.getOptionValue("m"); int nbNodes = Integer.parseInt(cmd.getOptionValue("n")); Configuration s3conf = new Configuration(); if (s3) { s3conf.set("fs.s3.awsAccessKeyId", awsAccessKeyId); s3conf.set("fs.s3.awsSecretAccessKey", awsSecretAccessKey); s3conf.set("bucket", s3bucket); } String datasetNames = ""; String datasetIds = ""; ArrayList<String> shortDataset = new ArrayList<String>(); ArrayList<String> shortDatasetIndex = new ArrayList<String>(); HashMap<String, String> datasetAgg = new HashMap<String, String>(); HashMap<String, String> datasetId = new HashMap<String, String>(); HashMap<String, HashMap<Integer, Double>> datasetRegThreshold = new HashMap<String, HashMap<Integer, Double>>(); HashMap<String, HashMap<Integer, Double>> datasetRareThreshold = new HashMap<String, HashMap<Integer, Double>>(); Path path = null; FileSystem fs = FileSystem.get(new Configuration()); BufferedReader br; boolean removeExistingFiles = cmd.hasOption("f"); boolean isThresholdUserDefined = cmd.hasOption("t"); for (String dataset : cmd.getOptionValues("g")) { // getting aggregates String[] aggregate = FrameworkUtils.searchAggregates(dataset, s3conf, s3); if (aggregate.length == 0) { System.out.println("No aggregates found for " + dataset + "."); continue; } // getting aggregates header String aggregatesHeaderFileName = FrameworkUtils.searchAggregatesHeader(dataset, s3conf, s3); if (aggregatesHeaderFileName == null) { System.out.println("No aggregate header for " + dataset); continue; } String aggregatesHeader = s3bucket + FrameworkUtils.preProcessingDir + "/" + aggregatesHeaderFileName; shortDataset.add(dataset); datasetId.put(dataset, null); if (s3) { path = new Path(aggregatesHeader); fs = FileSystem.get(path.toUri(), s3conf); } else { path = new Path(fs.getHomeDirectory() + "/" + aggregatesHeader); } br = new BufferedReader(new InputStreamReader(fs.open(path))); datasetAgg.put(dataset, br.readLine().split("\t")[1]); br.close(); if (s3) fs.close(); } if (shortDataset.size() == 0) { System.out.println("No datasets to process."); System.exit(0); } // getting dataset id if (s3) { path = new Path(s3bucket + FrameworkUtils.datasetsIndexDir); fs = FileSystem.get(path.toUri(), s3conf); } else { path = new Path(fs.getHomeDirectory() + "/" + FrameworkUtils.datasetsIndexDir); } br = new BufferedReader(new InputStreamReader(fs.open(path))); String line = br.readLine(); while (line != null) { String[] dt = line.split("\t"); if (datasetId.containsKey(dt[0])) { datasetId.put(dt[0], dt[1]); datasetNames += dt[0] + ","; datasetIds += dt[1] + ","; } line = br.readLine(); } br.close(); datasetNames = datasetNames.substring(0, datasetNames.length() - 1); datasetIds = datasetIds.substring(0, datasetIds.length() - 1); Iterator<String> it = shortDataset.iterator(); while (it.hasNext()) { String dataset = it.next(); if (datasetId.get(dataset) == null) { System.out.println("No dataset id for " + dataset); System.exit(0); } } // getting user defined thresholds if (isThresholdUserDefined) { if (s3) { path = new Path(s3bucket + FrameworkUtils.thresholdDir); fs = FileSystem.get(path.toUri(), s3conf); } else { path = new Path(fs.getHomeDirectory() + "/" + FrameworkUtils.thresholdDir); } br = new BufferedReader(new InputStreamReader(fs.open(path))); line = br.readLine(); while (line != null) { // getting dataset name String dataset = line.trim(); HashMap<Integer, Double> regThresholds = new HashMap<Integer, Double>(); HashMap<Integer, Double> rareThresholds = new HashMap<Integer, Double>(); line = br.readLine(); while ((line != null) && (line.split("\t").length > 1)) { // getting attribute ids and thresholds String[] keyVals = line.trim().split("\t"); int att = Integer.parseInt(keyVals[0].trim()); regThresholds.put(att, Double.parseDouble(keyVals[1].trim())); rareThresholds.put(att, Double.parseDouble(keyVals[2].trim())); line = br.readLine(); } datasetRegThreshold.put(dataset, regThresholds); datasetRareThreshold.put(dataset, rareThresholds); } br.close(); } if (s3) fs.close(); // datasets that will use existing merge tree ArrayList<String> useMergeTree = new ArrayList<String>(); // creating index for each spatio-temporal resolution FrameworkUtils.createDir(s3bucket + FrameworkUtils.indexDir, s3conf, s3); HashSet<String> input = new HashSet<String>(); for (String dataset : shortDataset) { String indexCreationOutputFileName = s3bucket + FrameworkUtils.indexDir + "/" + dataset + "/"; String mergeTreeFileName = s3bucket + FrameworkUtils.mergeTreeDir + "/" + dataset + "/"; if (removeExistingFiles) { FrameworkUtils.removeFile(indexCreationOutputFileName, s3conf, s3); FrameworkUtils.removeFile(mergeTreeFileName, s3conf, s3); FrameworkUtils.createDir(mergeTreeFileName, s3conf, s3); } else if (datasetRegThreshold.containsKey(dataset)) { FrameworkUtils.removeFile(indexCreationOutputFileName, s3conf, s3); if (FrameworkUtils.fileExists(mergeTreeFileName, s3conf, s3)) { useMergeTree.add(dataset); } } if (!FrameworkUtils.fileExists(indexCreationOutputFileName, s3conf, s3)) { input.add(s3bucket + FrameworkUtils.aggregatesDir + "/" + dataset); shortDatasetIndex.add(dataset); } } if (input.isEmpty()) { System.out.println("All the input datasets have indices."); System.out.println("Use -f in the beginning of the command line to force the computation."); System.exit(0); } String aggregateDatasets = ""; it = input.iterator(); while (it.hasNext()) { aggregateDatasets += it.next() + ","; } Job icJob = null; Configuration icConf = new Configuration(); Machine machineConf = new Machine(machine, nbNodes); String jobName = "index"; String indexOutputDir = s3bucket + FrameworkUtils.indexDir + "/tmp/"; FrameworkUtils.removeFile(indexOutputDir, s3conf, s3); icConf.set("dataset-name", datasetNames); icConf.set("dataset-id", datasetIds); if (!useMergeTree.isEmpty()) { String useMergeTreeStr = ""; for (String dt : useMergeTree) { useMergeTreeStr += dt + ","; } icConf.set("use-merge-tree", useMergeTreeStr.substring(0, useMergeTreeStr.length() - 1)); } for (int i = 0; i < shortDataset.size(); i++) { String dataset = shortDataset.get(i); String id = datasetId.get(dataset); icConf.set("dataset-" + id + "-aggregates", datasetAgg.get(dataset)); if (datasetRegThreshold.containsKey(dataset)) { HashMap<Integer, Double> regThresholds = datasetRegThreshold.get(dataset); String thresholds = ""; for (int att : regThresholds.keySet()) { thresholds += String.valueOf(att) + "-" + String.valueOf(regThresholds.get(att)) + ","; } icConf.set("regular-" + id, thresholds.substring(0, thresholds.length() - 1)); } if (datasetRareThreshold.containsKey(dataset)) { HashMap<Integer, Double> rareThresholds = datasetRareThreshold.get(dataset); String thresholds = ""; for (int att : rareThresholds.keySet()) { thresholds += String.valueOf(att) + "-" + String.valueOf(rareThresholds.get(att)) + ","; } icConf.set("rare-" + id, thresholds.substring(0, thresholds.length() - 1)); } } icConf.set("mapreduce.tasktracker.map.tasks.maximum", String.valueOf(machineConf.getMaximumTasks())); icConf.set("mapreduce.tasktracker.reduce.tasks.maximum", String.valueOf(machineConf.getMaximumTasks())); icConf.set("mapreduce.jobtracker.maxtasks.perjob", "-1"); icConf.set("mapreduce.reduce.shuffle.parallelcopies", "20"); icConf.set("mapreduce.input.fileinputformat.split.minsize", "0"); icConf.set("mapreduce.task.io.sort.mb", "200"); icConf.set("mapreduce.task.io.sort.factor", "100"); //icConf.set("mapreduce.task.timeout", "1800000"); machineConf.setMachineConfiguration(icConf); if (s3) { machineConf.setMachineConfiguration(icConf); icConf.set("fs.s3.awsAccessKeyId", awsAccessKeyId); icConf.set("fs.s3.awsSecretAccessKey", awsSecretAccessKey); icConf.set("bucket", s3bucket); } if (snappyCompression) { icConf.set("mapreduce.map.output.compress", "true"); icConf.set("mapreduce.map.output.compress.codec", "org.apache.hadoop.io.compress.SnappyCodec"); //icConf.set("mapreduce.output.fileoutputformat.compress.codec", "org.apache.hadoop.io.compress.SnappyCodec"); } if (bzip2Compression) { icConf.set("mapreduce.map.output.compress", "true"); icConf.set("mapreduce.map.output.compress.codec", "org.apache.hadoop.io.compress.BZip2Codec"); //icConf.set("mapreduce.output.fileoutputformat.compress.codec", "org.apache.hadoop.io.compress.BZip2Codec"); } icJob = new Job(icConf); icJob.setJobName(jobName); icJob.setMapOutputKeyClass(AttributeResolutionWritable.class); icJob.setMapOutputValueClass(SpatioTemporalFloatWritable.class); icJob.setOutputKeyClass(AttributeResolutionWritable.class); icJob.setOutputValueClass(TopologyTimeSeriesWritable.class); //icJob.setOutputKeyClass(Text.class); //icJob.setOutputValueClass(Text.class); icJob.setMapperClass(IndexCreationMapper.class); icJob.setReducerClass(IndexCreationReducer.class); icJob.setNumReduceTasks(machineConf.getNumberReduces()); icJob.setInputFormatClass(SequenceFileInputFormat.class); //icJob.setOutputFormatClass(SequenceFileOutputFormat.class); LazyOutputFormat.setOutputFormatClass(icJob, SequenceFileOutputFormat.class); //LazyOutputFormat.setOutputFormatClass(icJob, TextOutputFormat.class); SequenceFileOutputFormat.setCompressOutput(icJob, true); SequenceFileOutputFormat.setOutputCompressionType(icJob, CompressionType.BLOCK); FileInputFormat.setInputDirRecursive(icJob, true); FileInputFormat.setInputPaths(icJob, aggregateDatasets.substring(0, aggregateDatasets.length() - 1)); FileOutputFormat.setOutputPath(icJob, new Path(indexOutputDir)); icJob.setJarByClass(IndexCreation.class); long start = System.currentTimeMillis(); icJob.submit(); icJob.waitForCompletion(true); System.out.println(jobName + "\t" + (System.currentTimeMillis() - start)); // moving files to right place for (String dataset : shortDatasetIndex) { String from = s3bucket + FrameworkUtils.indexDir + "/tmp/" + dataset + "/"; String to = s3bucket + FrameworkUtils.indexDir + "/" + dataset + "/"; FrameworkUtils.renameFile(from, to, s3conf, s3); } }
From source file:edu.nyu.vida.data_polygamy.pre_processing.PreProcessing.java
License:BSD License
/** * @param args//w w w .j a v a 2s. co m * @throws IOException * @throws ClassNotFoundException * @throws InterruptedException */ @SuppressWarnings("deprecation") public static void main(String[] args) throws IOException, InterruptedException, ClassNotFoundException { Options options = new Options(); Option nameOption = new Option("dn", "name", true, "the name of the dataset"); nameOption.setRequired(true); nameOption.setArgName("DATASET NAME"); options.addOption(nameOption); Option headerOption = new Option("dh", "header", true, "the file that contains the header of the dataset"); headerOption.setRequired(true); headerOption.setArgName("DATASET HEADER FILE"); options.addOption(headerOption); Option deafultsOption = new Option("dd", "defaults", true, "the file that contains the default values of the dataset"); deafultsOption.setRequired(true); deafultsOption.setArgName("DATASET DEFAULTS FILE"); options.addOption(deafultsOption); Option tempResOption = new Option("t", "temporal", true, "desired temporal resolution (hour, day, week, or month)"); tempResOption.setRequired(true); tempResOption.setArgName("TEMPORAL RESOLUTION"); options.addOption(tempResOption); Option spatialResOption = new Option("s", "spatial", true, "desired spatial resolution (points, nbhd, zip, grid, or city)"); spatialResOption.setRequired(true); spatialResOption.setArgName("SPATIAL RESOLUTION"); options.addOption(spatialResOption); Option currentSpatialResOption = new Option("cs", "current-spatial", true, "current spatial resolution (points, nbhd, zip, grid, or city)"); currentSpatialResOption.setRequired(true); currentSpatialResOption.setArgName("CURRENT SPATIAL RESOLUTION"); options.addOption(currentSpatialResOption); Option indexResOption = new Option("i", "index", true, "indexes of the temporal and spatial attributes"); indexResOption.setRequired(true); indexResOption.setArgName("INDEX OF SPATIO-TEMPORAL RESOLUTIONS"); indexResOption.setArgs(Option.UNLIMITED_VALUES); options.addOption(indexResOption); Option machineOption = new Option("m", "machine", true, "machine identifier"); machineOption.setRequired(true); machineOption.setArgName("MACHINE"); machineOption.setArgs(1); options.addOption(machineOption); Option nodesOption = new Option("n", "nodes", true, "number of nodes"); nodesOption.setRequired(true); nodesOption.setArgName("NODES"); nodesOption.setArgs(1); options.addOption(nodesOption); Option s3Option = new Option("s3", "s3", false, "data on Amazon S3"); s3Option.setRequired(false); options.addOption(s3Option); Option awsAccessKeyIdOption = new Option("aws_id", "aws-id", true, "aws access key id; " + "this is required if the execution is on aws"); awsAccessKeyIdOption.setRequired(false); awsAccessKeyIdOption.setArgName("AWS-ACCESS-KEY-ID"); awsAccessKeyIdOption.setArgs(1); options.addOption(awsAccessKeyIdOption); Option awsSecretAccessKeyOption = new Option("aws_key", "aws-id", true, "aws secrect access key; " + "this is required if the execution is on aws"); awsSecretAccessKeyOption.setRequired(false); awsSecretAccessKeyOption.setArgName("AWS-SECRET-ACCESS-KEY"); awsSecretAccessKeyOption.setArgs(1); options.addOption(awsSecretAccessKeyOption); Option bucketOption = new Option("b", "s3-bucket", true, "bucket on s3; " + "this is required if the execution is on aws"); bucketOption.setRequired(false); bucketOption.setArgName("S3-BUCKET"); bucketOption.setArgs(1); options.addOption(bucketOption); Option helpOption = new Option("h", "help", false, "display this message"); helpOption.setRequired(false); options.addOption(helpOption); HelpFormatter formatter = new HelpFormatter(); CommandLineParser parser = new PosixParser(); CommandLine cmd = null; try { cmd = parser.parse(options, args); } catch (ParseException e) { formatter.printHelp( "hadoop jar data-polygamy.jar " + "edu.nyu.vida.data_polygamy.pre_processing.PreProcessing", options, true); System.exit(0); } if (cmd.hasOption("h")) { formatter.printHelp( "hadoop jar data-polygamy.jar " + "edu.nyu.vida.data_polygamy.pre_processing.PreProcessing", options, true); System.exit(0); } boolean s3 = cmd.hasOption("s3"); String s3bucket = ""; String awsAccessKeyId = ""; String awsSecretAccessKey = ""; if (s3) { if ((!cmd.hasOption("aws_id")) || (!cmd.hasOption("aws_key")) || (!cmd.hasOption("b"))) { System.out.println( "Arguments 'aws_id', 'aws_key', and 'b'" + " are mandatory if execution is on AWS."); formatter.printHelp( "hadoop jar data-polygamy.jar " + "edu.nyu.vida.data_polygamy.pre_processing.PreProcessing", options, true); System.exit(0); } s3bucket = cmd.getOptionValue("b"); awsAccessKeyId = cmd.getOptionValue("aws_id"); awsSecretAccessKey = cmd.getOptionValue("aws_key"); } boolean snappyCompression = false; boolean bzip2Compression = false; String machine = cmd.getOptionValue("m"); int nbNodes = Integer.parseInt(cmd.getOptionValue("n")); Configuration s3conf = new Configuration(); if (s3) { s3conf.set("fs.s3.awsAccessKeyId", awsAccessKeyId); s3conf.set("fs.s3.awsSecretAccessKey", awsSecretAccessKey); s3conf.set("bucket", s3bucket); } Configuration conf = new Configuration(); Machine machineConf = new Machine(machine, nbNodes); String dataset = cmd.getOptionValue("dn"); String header = cmd.getOptionValue("dh"); String defaults = cmd.getOptionValue("dd"); String temporalResolution = cmd.getOptionValue("t"); String spatialResolution = cmd.getOptionValue("s"); String gridResolution = ""; String currentSpatialResolution = cmd.getOptionValue("cs"); if (spatialResolution.contains("grid")) { String[] res = spatialResolution.split("-"); spatialResolution = res[0]; gridResolution = res[1]; } conf.set("header", s3bucket + FrameworkUtils.dataDir + "/" + header); conf.set("defaults", s3bucket + FrameworkUtils.dataDir + "/" + defaults); conf.set("temporal-resolution", temporalResolution); conf.set("spatial-resolution", spatialResolution); conf.set("grid-resolution", gridResolution); conf.set("current-spatial-resolution", currentSpatialResolution); String[] indexes = cmd.getOptionValues("i"); String temporalPos = ""; Integer sizeSpatioTemp = 0; if (!(currentSpatialResolution.equals("points"))) { String spatialPos = ""; for (int i = 0; i < indexes.length; i++) { temporalPos += indexes[i] + ","; spatialPos += indexes[++i] + ","; sizeSpatioTemp++; } conf.set("spatial-pos", spatialPos); } else { String xPositions = "", yPositions = ""; for (int i = 0; i < indexes.length; i++) { temporalPos += indexes[i] + ","; xPositions += indexes[++i] + ","; yPositions += indexes[++i] + ","; sizeSpatioTemp++; } conf.set("xPositions", xPositions); conf.set("yPositions", yPositions); } conf.set("temporal-pos", temporalPos); conf.set("size-spatio-temporal", sizeSpatioTemp.toString()); // checking resolutions if (utils.spatialResolution(spatialResolution) < 0) { System.out.println("Invalid spatial resolution: " + spatialResolution); System.exit(-1); } if (utils.spatialResolution(spatialResolution) == FrameworkUtils.POINTS) { System.out.println("The data needs to be reduced at least to neighborhoods or grid."); System.exit(-1); } if (utils.spatialResolution(currentSpatialResolution) < 0) { System.out.println("Invalid spatial resolution: " + currentSpatialResolution); System.exit(-1); } if (utils.spatialResolution(currentSpatialResolution) > utils.spatialResolution(spatialResolution)) { System.out.println("The current spatial resolution is coarser than " + "the desired one. You can only navigate from a fine resolution" + " to a coarser one."); System.exit(-1); } if (utils.temporalResolution(temporalResolution) < 0) { System.out.println("Invalid temporal resolution: " + temporalResolution); System.exit(-1); } String fileName = s3bucket + FrameworkUtils.preProcessingDir + "/" + dataset + "-" + temporalResolution + "-" + spatialResolution + gridResolution; conf.set("aggregates", fileName + ".aggregates"); // making sure both files are removed, if they exist FrameworkUtils.removeFile(fileName, s3conf, s3); FrameworkUtils.removeFile(fileName + ".aggregates", s3conf, s3); /** * Hadoop Parameters * sources: http://www.slideshare.net/ImpetusInfo/ppt-on-advanced-hadoop-tuning-n-optimisation * https://cloudcelebrity.wordpress.com/2013/08/14/12-key-steps-to-keep-your-hadoop-cluster-running-strong-and-performing-optimum/ */ conf.set("mapreduce.tasktracker.map.tasks.maximum", String.valueOf(machineConf.getMaximumTasks())); conf.set("mapreduce.tasktracker.reduce.tasks.maximum", String.valueOf(machineConf.getMaximumTasks())); conf.set("mapreduce.jobtracker.maxtasks.perjob", "-1"); conf.set("mapreduce.reduce.shuffle.parallelcopies", "20"); conf.set("mapreduce.input.fileinputformat.split.minsize", "0"); conf.set("mapreduce.task.io.sort.mb", "200"); conf.set("mapreduce.task.io.sort.factor", "100"); // using SnappyCodec for intermediate and output data ? // TODO: for now, using SnappyCodec -- what about LZO + Protocol Buffer serialization? // LZO - http://www.oberhumer.com/opensource/lzo/#download // Hadoop-LZO - https://github.com/twitter/hadoop-lzo // Protocol Buffer - https://github.com/twitter/elephant-bird // General Info - http://www.devx.com/Java/Article/47913 // Compression - http://comphadoop.weebly.com/index.html if (snappyCompression) { conf.set("mapreduce.map.output.compress", "true"); conf.set("mapreduce.map.output.compress.codec", "org.apache.hadoop.io.compress.SnappyCodec"); conf.set("mapreduce.output.fileoutputformat.compress.codec", "org.apache.hadoop.io.compress.SnappyCodec"); } if (bzip2Compression) { conf.set("mapreduce.map.output.compress", "true"); conf.set("mapreduce.map.output.compress.codec", "org.apache.hadoop.io.compress.BZip2Codec"); conf.set("mapreduce.output.fileoutputformat.compress.codec", "org.apache.hadoop.io.compress.BZip2Codec"); } // TODO: this is dangerous! if (s3) { conf.set("fs.s3.awsAccessKeyId", awsAccessKeyId); conf.set("fs.s3.awsSecretAccessKey", awsSecretAccessKey); } Job job = new Job(conf); job.setJobName(dataset + "-" + temporalResolution + "-" + spatialResolution); job.setMapOutputKeyClass(MultipleSpatioTemporalWritable.class); job.setMapOutputValueClass(AggregationArrayWritable.class); job.setOutputKeyClass(MultipleSpatioTemporalWritable.class); job.setOutputValueClass(AggregationArrayWritable.class); job.setMapperClass(PreProcessingMapper.class); job.setCombinerClass(PreProcessingCombiner.class); job.setReducerClass(PreProcessingReducer.class); job.setNumReduceTasks(machineConf.getNumberReduces()); //job.setNumReduceTasks(1); job.setInputFormatClass(TextInputFormat.class); job.setOutputFormatClass(SequenceFileOutputFormat.class); SequenceFileOutputFormat.setCompressOutput(job, true); SequenceFileOutputFormat.setOutputCompressionType(job, CompressionType.BLOCK); FileInputFormat.setInputPaths(job, new Path(s3bucket + FrameworkUtils.dataDir + "/" + dataset)); FileOutputFormat.setOutputPath(job, new Path(fileName)); job.setJarByClass(PreProcessing.class); long start = System.currentTimeMillis(); job.submit(); job.waitForCompletion(true); System.out.println(fileName + "\t" + (System.currentTimeMillis() - start)); }
From source file:edu.nyu.vida.data_polygamy.relationship_computation.Relationship.java
License:BSD License
/** * @param args//from www .j a v a2 s . c om * @throws ParseException */ @SuppressWarnings({ "deprecation" }) public static void main(String[] args) throws IOException, InterruptedException, ClassNotFoundException { Options options = new Options(); Option forceOption = new Option("f", "force", false, "force the computation of the relationship " + "even if files already exist"); forceOption.setRequired(false); options.addOption(forceOption); Option scoreOption = new Option("sc", "score", true, "set threhsold for relationship score"); scoreOption.setRequired(false); scoreOption.setArgName("SCORE THRESHOLD"); options.addOption(scoreOption); Option strengthOption = new Option("st", "strength", true, "set threhsold for relationship strength"); strengthOption.setRequired(false); strengthOption.setArgName("STRENGTH THRESHOLD"); options.addOption(strengthOption); Option completeRandomizationOption = new Option("c", "complete-randomization", false, "use complete randomization when performing significance tests"); completeRandomizationOption.setRequired(false); options.addOption(completeRandomizationOption); Option idOption = new Option("id", "ids", false, "output id instead of names for datasets and attributes"); idOption.setRequired(false); options.addOption(idOption); Option g1Option = new Option("g1", "first-group", true, "set first group of datasets"); g1Option.setRequired(true); g1Option.setArgName("FIRST GROUP"); g1Option.setArgs(Option.UNLIMITED_VALUES); options.addOption(g1Option); Option g2Option = new Option("g2", "second-group", true, "set second group of datasets"); g2Option.setRequired(false); g2Option.setArgName("SECOND GROUP"); g2Option.setArgs(Option.UNLIMITED_VALUES); options.addOption(g2Option); Option machineOption = new Option("m", "machine", true, "machine identifier"); machineOption.setRequired(true); machineOption.setArgName("MACHINE"); machineOption.setArgs(1); options.addOption(machineOption); Option nodesOption = new Option("n", "nodes", true, "number of nodes"); nodesOption.setRequired(true); nodesOption.setArgName("NODES"); nodesOption.setArgs(1); options.addOption(nodesOption); Option s3Option = new Option("s3", "s3", false, "data on Amazon S3"); s3Option.setRequired(false); options.addOption(s3Option); Option awsAccessKeyIdOption = new Option("aws_id", "aws-id", true, "aws access key id; " + "this is required if the execution is on aws"); awsAccessKeyIdOption.setRequired(false); awsAccessKeyIdOption.setArgName("AWS-ACCESS-KEY-ID"); awsAccessKeyIdOption.setArgs(1); options.addOption(awsAccessKeyIdOption); Option awsSecretAccessKeyOption = new Option("aws_key", "aws-id", true, "aws secrect access key; " + "this is required if the execution is on aws"); awsSecretAccessKeyOption.setRequired(false); awsSecretAccessKeyOption.setArgName("AWS-SECRET-ACCESS-KEY"); awsSecretAccessKeyOption.setArgs(1); options.addOption(awsSecretAccessKeyOption); Option bucketOption = new Option("b", "s3-bucket", true, "bucket on s3; " + "this is required if the execution is on aws"); bucketOption.setRequired(false); bucketOption.setArgName("S3-BUCKET"); bucketOption.setArgs(1); options.addOption(bucketOption); Option helpOption = new Option("h", "help", false, "display this message"); helpOption.setRequired(false); options.addOption(helpOption); Option removeOption = new Option("r", "remove-not-significant", false, "remove relationships that are not" + "significant from the final output"); removeOption.setRequired(false); options.addOption(removeOption); HelpFormatter formatter = new HelpFormatter(); CommandLineParser parser = new PosixParser(); CommandLine cmd = null; try { cmd = parser.parse(options, args); } catch (ParseException e) { formatter.printHelp("hadoop jar data-polygamy.jar " + "edu.nyu.vida.data_polygamy.relationship_computation.Relationship", options, true); System.exit(0); } if (cmd.hasOption("h")) { formatter.printHelp("hadoop jar data-polygamy.jar " + "edu.nyu.vida.data_polygamy.relationship_computation.Relationship", options, true); System.exit(0); } boolean s3 = cmd.hasOption("s3"); String s3bucket = ""; String awsAccessKeyId = ""; String awsSecretAccessKey = ""; if (s3) { if ((!cmd.hasOption("aws_id")) || (!cmd.hasOption("aws_key")) || (!cmd.hasOption("b"))) { System.out.println( "Arguments 'aws_id', 'aws_key', and 'b'" + " are mandatory if execution is on AWS."); formatter.printHelp( "hadoop jar data-polygamy.jar " + "edu.nyu.vida.data_polygamy.relationship_computation.Relationship", options, true); System.exit(0); } s3bucket = cmd.getOptionValue("b"); awsAccessKeyId = cmd.getOptionValue("aws_id"); awsSecretAccessKey = cmd.getOptionValue("aws_key"); } boolean snappyCompression = false; boolean bzip2Compression = false; String machine = cmd.getOptionValue("m"); int nbNodes = Integer.parseInt(cmd.getOptionValue("n")); Configuration s3conf = new Configuration(); if (s3) { s3conf.set("fs.s3.awsAccessKeyId", awsAccessKeyId); s3conf.set("fs.s3.awsSecretAccessKey", awsSecretAccessKey); s3conf.set("bucket", s3bucket); } Path path = null; FileSystem fs = FileSystem.get(new Configuration()); ArrayList<String> shortDataset = new ArrayList<String>(); ArrayList<String> firstGroup = new ArrayList<String>(); ArrayList<String> secondGroup = new ArrayList<String>(); HashMap<String, String> datasetAgg = new HashMap<String, String>(); boolean removeNotSignificant = cmd.hasOption("r"); boolean removeExistingFiles = cmd.hasOption("f"); boolean completeRandomization = cmd.hasOption("c"); boolean hasScoreThreshold = cmd.hasOption("sc"); boolean hasStrengthThreshold = cmd.hasOption("st"); boolean outputIds = cmd.hasOption("id"); String scoreThreshold = hasScoreThreshold ? cmd.getOptionValue("sc") : ""; String strengthThreshold = hasStrengthThreshold ? cmd.getOptionValue("st") : ""; // all datasets ArrayList<String> all_datasets = new ArrayList<String>(); if (s3) { path = new Path(s3bucket + FrameworkUtils.datasetsIndexDir); fs = FileSystem.get(path.toUri(), s3conf); } else { path = new Path(fs.getHomeDirectory() + "/" + FrameworkUtils.datasetsIndexDir); } BufferedReader br = new BufferedReader(new InputStreamReader(fs.open(path))); String line = br.readLine(); while (line != null) { all_datasets.add(line.split("\t")[0]); line = br.readLine(); } br.close(); if (s3) fs.close(); String[] all_datasets_array = new String[all_datasets.size()]; all_datasets.toArray(all_datasets_array); String[] firstGroupCmd = cmd.getOptionValues("g1"); String[] secondGroupCmd = cmd.hasOption("g2") ? cmd.getOptionValues("g2") : all_datasets_array; addDatasets(firstGroupCmd, firstGroup, shortDataset, datasetAgg, path, fs, s3conf, s3, s3bucket); addDatasets(secondGroupCmd, secondGroup, shortDataset, datasetAgg, path, fs, s3conf, s3, s3bucket); if (shortDataset.size() == 0) { System.out.println("No datasets to process."); System.exit(0); } if (firstGroup.isEmpty()) { System.out.println("No indices from datasets in G1."); System.exit(0); } if (secondGroup.isEmpty()) { System.out.println("No indices from datasets in G2."); System.exit(0); } // getting dataset ids String datasetNames = ""; String datasetIds = ""; HashMap<String, String> datasetId = new HashMap<String, String>(); Iterator<String> it = shortDataset.iterator(); while (it.hasNext()) { datasetId.put(it.next(), null); } if (s3) { path = new Path(s3bucket + FrameworkUtils.datasetsIndexDir); fs = FileSystem.get(path.toUri(), s3conf); } else { path = new Path(fs.getHomeDirectory() + "/" + FrameworkUtils.datasetsIndexDir); } br = new BufferedReader(new InputStreamReader(fs.open(path))); line = br.readLine(); while (line != null) { String[] dt = line.split("\t"); all_datasets.add(dt[0]); if (datasetId.containsKey(dt[0])) { datasetId.put(dt[0], dt[1]); datasetNames += dt[0] + ","; datasetIds += dt[1] + ","; } line = br.readLine(); } br.close(); if (s3) fs.close(); datasetNames = datasetNames.substring(0, datasetNames.length() - 1); datasetIds = datasetIds.substring(0, datasetIds.length() - 1); it = shortDataset.iterator(); while (it.hasNext()) { String dataset = it.next(); if (datasetId.get(dataset) == null) { System.out.println("No dataset id for " + dataset); System.exit(0); } } String firstGroupStr = ""; String secondGroupStr = ""; for (String dataset : firstGroup) { firstGroupStr += datasetId.get(dataset) + ","; } for (String dataset : secondGroup) { secondGroupStr += datasetId.get(dataset) + ","; } firstGroupStr = firstGroupStr.substring(0, firstGroupStr.length() - 1); secondGroupStr = secondGroupStr.substring(0, secondGroupStr.length() - 1); String relationshipsDir = ""; if (outputIds) { relationshipsDir = FrameworkUtils.relationshipsIdsDir; } else { relationshipsDir = FrameworkUtils.relationshipsDir; } FrameworkUtils.createDir(s3bucket + relationshipsDir, s3conf, s3); String random = completeRandomization ? "complete" : "restricted"; String indexInputDirs = ""; String noRelationship = ""; HashSet<String> dirs = new HashSet<String>(); String dataset1; String dataset2; String datasetId1; String datasetId2; for (int i = 0; i < firstGroup.size(); i++) { for (int j = 0; j < secondGroup.size(); j++) { if (Integer.parseInt(datasetId.get(firstGroup.get(i))) < Integer .parseInt(datasetId.get(secondGroup.get(j)))) { dataset1 = firstGroup.get(i); dataset2 = secondGroup.get(j); } else { dataset1 = secondGroup.get(j); dataset2 = firstGroup.get(i); } datasetId1 = datasetId.get(dataset1); datasetId2 = datasetId.get(dataset2); if (dataset1.equals(dataset2)) continue; String correlationOutputFileName = s3bucket + relationshipsDir + "/" + dataset1 + "-" + dataset2 + "/"; if (removeExistingFiles) { FrameworkUtils.removeFile(correlationOutputFileName, s3conf, s3); } if (!FrameworkUtils.fileExists(correlationOutputFileName, s3conf, s3)) { dirs.add(s3bucket + FrameworkUtils.indexDir + "/" + dataset1); dirs.add(s3bucket + FrameworkUtils.indexDir + "/" + dataset2); } else { noRelationship += datasetId1 + "-" + datasetId2 + ","; } } } if (dirs.isEmpty()) { System.out.println("All the relationships were already computed."); System.out.println("Use -f in the beginning of the command line to force the computation."); System.exit(0); } for (String dir : dirs) { indexInputDirs += dir + ","; } Configuration conf = new Configuration(); Machine machineConf = new Machine(machine, nbNodes); String jobName = "relationship" + "-" + random; String relationshipOutputDir = s3bucket + relationshipsDir + "/tmp/"; FrameworkUtils.removeFile(relationshipOutputDir, s3conf, s3); for (int i = 0; i < shortDataset.size(); i++) { conf.set("dataset-" + datasetId.get(shortDataset.get(i)) + "-agg", datasetAgg.get(shortDataset.get(i))); } for (int i = 0; i < shortDataset.size(); i++) { conf.set("dataset-" + datasetId.get(shortDataset.get(i)) + "-agg-size", Integer.toString(datasetAgg.get(shortDataset.get(i)).split(",").length)); } conf.set("dataset-keys", datasetIds); conf.set("dataset-names", datasetNames); conf.set("first-group", firstGroupStr); conf.set("second-group", secondGroupStr); conf.set("complete-random", String.valueOf(completeRandomization)); conf.set("output-ids", String.valueOf(outputIds)); conf.set("complete-random-str", random); conf.set("main-dataset-id", datasetId.get(shortDataset.get(0))); conf.set("remove-not-significant", String.valueOf(removeNotSignificant)); if (noRelationship.length() > 0) { conf.set("no-relationship", noRelationship.substring(0, noRelationship.length() - 1)); } if (hasScoreThreshold) { conf.set("score-threshold", scoreThreshold); } if (hasStrengthThreshold) { conf.set("strength-threshold", strengthThreshold); } conf.set("mapreduce.tasktracker.map.tasks.maximum", String.valueOf(machineConf.getMaximumTasks())); conf.set("mapreduce.tasktracker.reduce.tasks.maximum", String.valueOf(machineConf.getMaximumTasks())); conf.set("mapreduce.jobtracker.maxtasks.perjob", "-1"); conf.set("mapreduce.reduce.shuffle.parallelcopies", "20"); conf.set("mapreduce.input.fileinputformat.split.minsize", "0"); conf.set("mapreduce.task.io.sort.mb", "200"); conf.set("mapreduce.task.io.sort.factor", "100"); conf.set("mapreduce.task.timeout", "2400000"); if (s3) { machineConf.setMachineConfiguration(conf); conf.set("fs.s3.awsAccessKeyId", awsAccessKeyId); conf.set("fs.s3.awsSecretAccessKey", awsSecretAccessKey); conf.set("bucket", s3bucket); } if (snappyCompression) { conf.set("mapreduce.map.output.compress", "true"); conf.set("mapreduce.map.output.compress.codec", "org.apache.hadoop.io.compress.SnappyCodec"); //conf.set("mapreduce.output.fileoutputformat.compress.codec", "org.apache.hadoop.io.compress.SnappyCodec"); } if (bzip2Compression) { conf.set("mapreduce.map.output.compress", "true"); conf.set("mapreduce.map.output.compress.codec", "org.apache.hadoop.io.compress.BZip2Codec"); //conf.set("mapreduce.output.fileoutputformat.compress.codec", "org.apache.hadoop.io.compress.BZip2Codec"); } Job job = new Job(conf); job.setJobName(jobName); job.setMapOutputKeyClass(PairAttributeWritable.class); job.setMapOutputValueClass(TopologyTimeSeriesWritable.class); job.setOutputKeyClass(Text.class); job.setOutputValueClass(Text.class); job.setMapperClass(CorrelationMapper.class); job.setReducerClass(CorrelationReducer.class); job.setNumReduceTasks(machineConf.getNumberReduces()); job.setInputFormatClass(SequenceFileInputFormat.class); //job.setOutputFormatClass(TextOutputFormat.class); LazyOutputFormat.setOutputFormatClass(job, TextOutputFormat.class); FileInputFormat.setInputDirRecursive(job, true); FileInputFormat.setInputPaths(job, indexInputDirs.substring(0, indexInputDirs.length() - 1)); FileOutputFormat.setOutputPath(job, new Path(relationshipOutputDir)); job.setJarByClass(Relationship.class); long start = System.currentTimeMillis(); job.submit(); job.waitForCompletion(true); System.out.println(jobName + "\t" + (System.currentTimeMillis() - start)); // moving files to right place for (int i = 0; i < firstGroup.size(); i++) { for (int j = 0; j < secondGroup.size(); j++) { if (Integer.parseInt(datasetId.get(firstGroup.get(i))) < Integer .parseInt(datasetId.get(secondGroup.get(j)))) { dataset1 = firstGroup.get(i); dataset2 = secondGroup.get(j); } else { dataset1 = secondGroup.get(j); dataset2 = firstGroup.get(i); } if (dataset1.equals(dataset2)) continue; String from = s3bucket + relationshipsDir + "/tmp/" + dataset1 + "-" + dataset2 + "/"; String to = s3bucket + relationshipsDir + "/" + dataset1 + "-" + dataset2 + "/"; FrameworkUtils.renameFile(from, to, s3conf, s3); } } }
From source file:edu.nyu.vida.data_polygamy.scalar_function_computation.Aggregation.java
License:BSD License
/** * @param args//from w w w. j a v a 2 s .c om */ @SuppressWarnings({ "deprecation" }) public static void main(String[] args) throws IOException, InterruptedException, ClassNotFoundException { Options options = new Options(); Option forceOption = new Option("f", "force", false, "force the computation of the aggregate functions " + "even if files already exist"); forceOption.setRequired(false); options.addOption(forceOption); Option gOption = new Option("g", "group", true, "set group of datasets for which the aggregate functions" + " will be computed, followed by their temporal and spatial attribute indices"); gOption.setRequired(true); gOption.setArgName("GROUP"); gOption.setArgs(Option.UNLIMITED_VALUES); options.addOption(gOption); Option machineOption = new Option("m", "machine", true, "machine identifier"); machineOption.setRequired(true); machineOption.setArgName("MACHINE"); machineOption.setArgs(1); options.addOption(machineOption); Option nodesOption = new Option("n", "nodes", true, "number of nodes"); nodesOption.setRequired(true); nodesOption.setArgName("NODES"); nodesOption.setArgs(1); options.addOption(nodesOption); Option s3Option = new Option("s3", "s3", false, "data on Amazon S3"); s3Option.setRequired(false); options.addOption(s3Option); Option awsAccessKeyIdOption = new Option("aws_id", "aws-id", true, "aws access key id; " + "this is required if the execution is on aws"); awsAccessKeyIdOption.setRequired(false); awsAccessKeyIdOption.setArgName("AWS-ACCESS-KEY-ID"); awsAccessKeyIdOption.setArgs(1); options.addOption(awsAccessKeyIdOption); Option awsSecretAccessKeyOption = new Option("aws_key", "aws-id", true, "aws secrect access key; " + "this is required if the execution is on aws"); awsSecretAccessKeyOption.setRequired(false); awsSecretAccessKeyOption.setArgName("AWS-SECRET-ACCESS-KEY"); awsSecretAccessKeyOption.setArgs(1); options.addOption(awsSecretAccessKeyOption); Option bucketOption = new Option("b", "s3-bucket", true, "bucket on s3; " + "this is required if the execution is on aws"); bucketOption.setRequired(false); bucketOption.setArgName("S3-BUCKET"); bucketOption.setArgs(1); options.addOption(bucketOption); Option helpOption = new Option("h", "help", false, "display this message"); helpOption.setRequired(false); options.addOption(helpOption); HelpFormatter formatter = new HelpFormatter(); CommandLineParser parser = new PosixParser(); CommandLine cmd = null; try { cmd = parser.parse(options, args); } catch (ParseException e) { formatter.printHelp("hadoop jar data-polygamy.jar " + "edu.nyu.vida.data_polygamy.scalar_function_computation.Aggregation", options, true); System.exit(0); } if (cmd.hasOption("h")) { formatter.printHelp("hadoop jar data-polygamy.jar " + "edu.nyu.vida.data_polygamy.scalar_function_computation.Aggregation", options, true); System.exit(0); } boolean s3 = cmd.hasOption("s3"); String s3bucket = ""; String awsAccessKeyId = ""; String awsSecretAccessKey = ""; if (s3) { if ((!cmd.hasOption("aws_id")) || (!cmd.hasOption("aws_key")) || (!cmd.hasOption("b"))) { System.out.println( "Arguments 'aws_id', 'aws_key', and 'b'" + " are mandatory if execution is on AWS."); formatter.printHelp( "hadoop jar data-polygamy.jar " + "edu.nyu.vida.data_polygamy.scalar_function_computation.Aggregation", options, true); System.exit(0); } s3bucket = cmd.getOptionValue("b"); awsAccessKeyId = cmd.getOptionValue("aws_id"); awsSecretAccessKey = cmd.getOptionValue("aws_key"); } boolean snappyCompression = false; boolean bzip2Compression = false; String machine = cmd.getOptionValue("m"); int nbNodes = Integer.parseInt(cmd.getOptionValue("n")); Configuration s3conf = new Configuration(); if (s3) { s3conf.set("fs.s3.awsAccessKeyId", awsAccessKeyId); s3conf.set("fs.s3.awsSecretAccessKey", awsSecretAccessKey); s3conf.set("bucket", s3bucket); } String datasetNames = ""; String datasetIds = ""; String preProcessingDatasets = ""; ArrayList<String> shortDataset = new ArrayList<String>(); ArrayList<String> shortDatasetAggregation = new ArrayList<String>(); HashMap<String, String> datasetTempAtt = new HashMap<String, String>(); HashMap<String, String> datasetSpatialAtt = new HashMap<String, String>(); HashMap<String, String> preProcessingDataset = new HashMap<String, String>(); HashMap<String, String> datasetId = new HashMap<String, String>(); boolean removeExistingFiles = cmd.hasOption("f"); String[] datasetArgs = cmd.getOptionValues("g"); for (int i = 0; i < datasetArgs.length; i += 3) { String dataset = datasetArgs[i]; // getting pre-processing String tempPreProcessing = FrameworkUtils.searchPreProcessing(dataset, s3conf, s3); if (tempPreProcessing == null) { System.out.println("No pre-processing available for " + dataset); continue; } preProcessingDataset.put(dataset, tempPreProcessing); shortDataset.add(dataset); datasetTempAtt.put(dataset, ((datasetArgs[i + 1] == "null") ? null : datasetArgs[i + 1])); datasetSpatialAtt.put(dataset, ((datasetArgs[i + 2] == "null") ? null : datasetArgs[i + 2])); datasetId.put(dataset, null); } if (shortDataset.size() == 0) { System.out.println("No datasets to process."); System.exit(0); } // getting dataset id Path path = null; FileSystem fs = null; if (s3) { path = new Path(s3bucket + FrameworkUtils.datasetsIndexDir); fs = FileSystem.get(path.toUri(), s3conf); } else { fs = FileSystem.get(new Configuration()); path = new Path(fs.getHomeDirectory() + "/" + FrameworkUtils.datasetsIndexDir); } BufferedReader br = new BufferedReader(new InputStreamReader(fs.open(path))); String line = br.readLine(); while (line != null) { String[] dt = line.split("\t"); if (datasetId.containsKey(dt[0])) { datasetId.put(dt[0], dt[1]); datasetNames += dt[0] + ","; datasetIds += dt[1] + ","; } line = br.readLine(); } br.close(); if (s3) fs.close(); datasetNames = datasetNames.substring(0, datasetNames.length() - 1); datasetIds = datasetIds.substring(0, datasetIds.length() - 1); Iterator<String> it = shortDataset.iterator(); while (it.hasNext()) { String dataset = it.next(); if (datasetId.get(dataset) == null) { System.out.println("No dataset id for " + dataset); System.exit(0); } } FrameworkUtils.createDir(s3bucket + FrameworkUtils.aggregatesDir, s3conf, s3); // getting smallest resolution HashMap<String, String> tempResMap = new HashMap<String, String>(); HashMap<String, String> spatialResMap = new HashMap<String, String>(); HashMap<String, String> datasetTemporalStrMap = new HashMap<String, String>(); HashMap<String, String> datasetSpatialStrMap = new HashMap<String, String>(); HashSet<String> input = new HashSet<String>(); for (String dataset : shortDataset) { String[] datasetArray = preProcessingDataset.get(dataset).split("-"); String datasetTemporalStr = datasetArray[datasetArray.length - 2]; int datasetTemporal = utils.temporalResolution(datasetTemporalStr); String datasetSpatialStr = datasetArray[datasetArray.length - 1]; int datasetSpatial = utils.spatialResolution(datasetSpatialStr); // finding all possible resolutions String[] temporalResolutions = FrameworkUtils.getAggTempResolutions(datasetTemporal); String[] spatialResolutions = FrameworkUtils.getAggSpatialResolutions(datasetSpatial); String temporalResolution = ""; String spatialResolution = ""; String tempRes = ""; String spatialRes = ""; boolean dataAdded = false; for (int i = 0; i < temporalResolutions.length; i++) { for (int j = 0; j < spatialResolutions.length; j++) { temporalResolution = temporalResolutions[i]; spatialResolution = spatialResolutions[j]; String aggregatesOutputFileName = s3bucket + FrameworkUtils.aggregatesDir + "/" + dataset + "/"; if (removeExistingFiles) { FrameworkUtils.removeFile(aggregatesOutputFileName, s3conf, s3); } if (!FrameworkUtils.fileExists(aggregatesOutputFileName, s3conf, s3)) { dataAdded = true; tempRes += temporalResolution + "-"; spatialRes += spatialResolution + "-"; } } } if (dataAdded) { input.add(s3bucket + FrameworkUtils.preProcessingDir + "/" + preProcessingDataset.get(dataset)); shortDatasetAggregation.add(dataset); tempResMap.put(dataset, tempRes.substring(0, tempRes.length() - 1)); spatialResMap.put(dataset, spatialRes.substring(0, spatialRes.length() - 1)); datasetTemporalStrMap.put(dataset, datasetTemporalStr); datasetSpatialStrMap.put(dataset, datasetSpatialStr); } } if (input.isEmpty()) { System.out.println("All the input datasets have aggregates."); System.out.println("Use -f in the beginning of the command line to force the computation."); System.exit(0); } it = input.iterator(); while (it.hasNext()) { preProcessingDatasets += it.next() + ","; } Job aggJob = null; String aggregatesOutputDir = s3bucket + FrameworkUtils.aggregatesDir + "/tmp/"; String jobName = "aggregates"; FrameworkUtils.removeFile(aggregatesOutputDir, s3conf, s3); Configuration aggConf = new Configuration(); Machine machineConf = new Machine(machine, nbNodes); aggConf.set("dataset-name", datasetNames); aggConf.set("dataset-id", datasetIds); for (int i = 0; i < shortDatasetAggregation.size(); i++) { String dataset = shortDatasetAggregation.get(i); String id = datasetId.get(dataset); aggConf.set("dataset-" + id + "-temporal-resolutions", tempResMap.get(dataset)); aggConf.set("dataset-" + id + "-spatial-resolutions", spatialResMap.get(dataset)); aggConf.set("dataset-" + id + "-temporal-att", datasetTempAtt.get(dataset)); aggConf.set("dataset-" + id + "-spatial-att", datasetSpatialAtt.get(dataset)); aggConf.set("dataset-" + id + "-temporal", datasetTemporalStrMap.get(dataset)); aggConf.set("dataset-" + id + "-spatial", datasetSpatialStrMap.get(dataset)); if (s3) aggConf.set("dataset-" + id, s3bucket + FrameworkUtils.preProcessingDir + "/" + preProcessingDataset.get(dataset)); else aggConf.set("dataset-" + id, FileSystem.get(new Configuration()).getHomeDirectory() + "/" + FrameworkUtils.preProcessingDir + "/" + preProcessingDataset.get(dataset)); } aggConf.set("mapreduce.tasktracker.map.tasks.maximum", String.valueOf(machineConf.getMaximumTasks())); aggConf.set("mapreduce.tasktracker.reduce.tasks.maximum", String.valueOf(machineConf.getMaximumTasks())); aggConf.set("mapreduce.jobtracker.maxtasks.perjob", "-1"); aggConf.set("mapreduce.reduce.shuffle.parallelcopies", "20"); aggConf.set("mapreduce.input.fileinputformat.split.minsize", "0"); aggConf.set("mapreduce.task.io.sort.mb", "200"); aggConf.set("mapreduce.task.io.sort.factor", "100"); machineConf.setMachineConfiguration(aggConf); if (s3) { machineConf.setMachineConfiguration(aggConf); aggConf.set("fs.s3.awsAccessKeyId", awsAccessKeyId); aggConf.set("fs.s3.awsSecretAccessKey", awsSecretAccessKey); } if (snappyCompression) { aggConf.set("mapreduce.map.output.compress", "true"); aggConf.set("mapreduce.map.output.compress.codec", "org.apache.hadoop.io.compress.SnappyCodec"); //aggConf.set("mapreduce.output.fileoutputformat.compress.codec", "org.apache.hadoop.io.compress.SnappyCodec"); } if (bzip2Compression) { aggConf.set("mapreduce.map.output.compress", "true"); aggConf.set("mapreduce.map.output.compress.codec", "org.apache.hadoop.io.compress.BZip2Codec"); //aggConf.set("mapreduce.output.fileoutputformat.compress.codec", "org.apache.hadoop.io.compress.BZip2Codec"); } aggJob = new Job(aggConf); aggJob.setJobName(jobName); aggJob.setMapOutputKeyClass(SpatioTemporalWritable.class); aggJob.setMapOutputValueClass(AggregationArrayWritable.class); aggJob.setOutputKeyClass(SpatioTemporalWritable.class); aggJob.setOutputValueClass(FloatArrayWritable.class); //aggJob.setOutputKeyClass(Text.class); //aggJob.setOutputValueClass(Text.class); aggJob.setMapperClass(AggregationMapper.class); aggJob.setCombinerClass(AggregationCombiner.class); aggJob.setReducerClass(AggregationReducer.class); aggJob.setNumReduceTasks(machineConf.getNumberReduces()); aggJob.setInputFormatClass(SequenceFileInputFormat.class); //aggJob.setOutputFormatClass(SequenceFileOutputFormat.class); LazyOutputFormat.setOutputFormatClass(aggJob, SequenceFileOutputFormat.class); //LazyOutputFormat.setOutputFormatClass(aggJob, TextOutputFormat.class); SequenceFileOutputFormat.setCompressOutput(aggJob, true); SequenceFileOutputFormat.setOutputCompressionType(aggJob, CompressionType.BLOCK); FileInputFormat.setInputDirRecursive(aggJob, true); FileInputFormat.setInputPaths(aggJob, preProcessingDatasets.substring(0, preProcessingDatasets.length() - 1)); FileOutputFormat.setOutputPath(aggJob, new Path(aggregatesOutputDir)); aggJob.setJarByClass(Aggregation.class); long start = System.currentTimeMillis(); aggJob.submit(); aggJob.waitForCompletion(true); System.out.println(jobName + "\t" + (System.currentTimeMillis() - start)); // moving files to right place for (String dataset : shortDatasetAggregation) { String from = s3bucket + FrameworkUtils.aggregatesDir + "/tmp/" + dataset + "/"; String to = s3bucket + FrameworkUtils.aggregatesDir + "/" + dataset + "/"; FrameworkUtils.renameFile(from, to, s3conf, s3); } }