List of usage examples for org.apache.hadoop.mapreduce.task TaskAttemptContextImpl TaskAttemptContextImpl
public TaskAttemptContextImpl(Configuration conf, TaskAttemptID taskId)
From source file:io.druid.data.input.parquet.DruidParquetInputFormatTest.java
License:Apache License
@Test public void test() throws IOException, InterruptedException { Configuration conf = new Configuration(); Job job = Job.getInstance(conf);//from w ww. j a va 2 s. c o m HadoopDruidIndexerConfig config = HadoopDruidIndexerConfig .fromFile(new File("example/wikipedia_hadoop_parquet_job.json")); config.intoConfiguration(job); File testFile = new File("example/wikipedia_list.parquet"); Path path = new Path(testFile.getAbsoluteFile().toURI()); FileSplit split = new FileSplit(path, 0, testFile.length(), null); InputFormat inputFormat = ReflectionUtils.newInstance(DruidParquetInputFormat.class, job.getConfiguration()); TaskAttemptContext context = new TaskAttemptContextImpl(job.getConfiguration(), new TaskAttemptID()); RecordReader reader = inputFormat.createRecordReader(split, context); reader.initialize(split, context); reader.nextKeyValue(); GenericRecord data = (GenericRecord) reader.getCurrentValue(); // field not read, should return null assertEquals(data.get("added"), null); assertEquals(data.get("page"), new Utf8("Gypsy Danger")); reader.close(); }
From source file:io.druid.data.input.parquet.DruidParquetInputTest.java
License:Apache License
private GenericRecord getFirstRecord(Job job, String parquetPath) throws IOException, InterruptedException { File testFile = new File(parquetPath); Path path = new Path(testFile.getAbsoluteFile().toURI()); FileSplit split = new FileSplit(path, 0, testFile.length(), null); DruidParquetInputFormat inputFormat = ReflectionUtils.newInstance(DruidParquetInputFormat.class, job.getConfiguration());/* ww w .j av a 2 s .c om*/ TaskAttemptContext context = new TaskAttemptContextImpl(job.getConfiguration(), new TaskAttemptID()); try (RecordReader reader = inputFormat.createRecordReader(split, context)) { reader.initialize(split, context); reader.nextKeyValue(); return (GenericRecord) reader.getCurrentValue(); } }
From source file:io.druid.data.input.parquet.DruidParquetInputTest.java
License:Apache License
private List<InputRow> getAllRows(String configPath) throws IOException, InterruptedException { HadoopDruidIndexerConfig config = HadoopDruidIndexerConfig.fromFile(new File(configPath)); Job job = Job.getInstance(new Configuration()); config.intoConfiguration(job);/*from w w w.j a va 2 s . c o m*/ File testFile = new File(((StaticPathSpec) config.getPathSpec()).getPaths()); Path path = new Path(testFile.getAbsoluteFile().toURI()); FileSplit split = new FileSplit(path, 0, testFile.length(), null); DruidParquetInputFormat inputFormat = ReflectionUtils.newInstance(DruidParquetInputFormat.class, job.getConfiguration()); TaskAttemptContext context = new TaskAttemptContextImpl(job.getConfiguration(), new TaskAttemptID()); try (RecordReader reader = inputFormat.createRecordReader(split, context)) { List<InputRow> records = Lists.newArrayList(); InputRowParser parser = config.getParser(); reader.initialize(split, context); while (reader.nextKeyValue()) { reader.nextKeyValue(); GenericRecord data = (GenericRecord) reader.getCurrentValue(); records.add(parser.parse(data)); } return records; } }
From source file:it.crs4.pydoop.mapreduce.pipes.TestPipeApplication.java
License:Apache License
/** * test PipesMapRunner test the transfer data from reader * * @throws Exception/*from ww w . jav a 2 s . c o m*/ */ @Test public void testRunner() throws Exception { // clean old password files File[] psw = cleanTokenPasswordFile(); try { JobID jobId = new JobID("201408272347", 0); TaskID taskId = new TaskID(jobId, TaskType.MAP, 0); TaskAttemptID taskAttemptid = new TaskAttemptID(taskId, 0); Job job = new Job(new Configuration()); job.setJobID(jobId); Configuration conf = job.getConfiguration(); conf.set(Submitter.IS_JAVA_RR, "true"); conf.set(MRJobConfig.TASK_ATTEMPT_ID, taskAttemptid.toString()); job.setInputFormatClass(DummyInputFormat.class); FileSystem fs = new RawLocalFileSystem(); fs.setConf(conf); DummyInputFormat input_format = new DummyInputFormat(); List<InputSplit> isplits = input_format.getSplits(job); InputSplit isplit = isplits.get(0); TaskAttemptContextImpl tcontext = new TaskAttemptContextImpl(conf, taskAttemptid); RecordReader<FloatWritable, NullWritable> rReader = input_format.createRecordReader(isplit, tcontext); TestMapContext context = new TestMapContext(conf, taskAttemptid, rReader, null, null, null, isplit); // stub for client File fCommand = getFileCommand("it.crs4.pydoop.mapreduce.pipes.PipeApplicationRunnableStub"); conf.set(MRJobConfig.CACHE_LOCALFILES, fCommand.getAbsolutePath()); // token for authorization Token<AMRMTokenIdentifier> token = new Token<AMRMTokenIdentifier>("user".getBytes(), "password".getBytes(), new Text("kind"), new Text("service")); TokenCache.setJobToken(token, job.getCredentials()); conf.setBoolean(MRJobConfig.SKIP_RECORDS, true); PipesMapper<FloatWritable, NullWritable, IntWritable, Text> mapper = new PipesMapper<FloatWritable, NullWritable, IntWritable, Text>( context); initStdOut(conf); mapper.run(context); String stdOut = readStdOut(conf); // test part of translated data. As common file for client and test - // clients stdOut // check version assertTrue(stdOut.contains("CURRENT_PROTOCOL_VERSION:0")); // check key and value classes assertTrue(stdOut.contains("Key class:org.apache.hadoop.io.FloatWritable")); assertTrue(stdOut.contains("Value class:org.apache.hadoop.io.NullWritable")); // test have sent all data from reader assertTrue(stdOut.contains("value:0.0")); assertTrue(stdOut.contains("value:9.0")); } finally { if (psw != null) { // remove password files for (File file : psw) { file.deleteOnExit(); } } } }
From source file:it.crs4.pydoop.mapreduce.pipes.TestPipeApplication.java
License:Apache License
/** * test org.apache.hadoop.mapreduce.pipes.Application * test a internal functions: //w w w . j av a2 s. c o m * MessageType.REGISTER_COUNTER, INCREMENT_COUNTER, STATUS, PROGRESS... * * @throws Throwable */ @Test public void testApplication() throws Throwable { System.err.println("testApplication"); File[] psw = cleanTokenPasswordFile(); try { JobID jobId = new JobID("201408272347", 0); TaskID taskId = new TaskID(jobId, TaskType.MAP, 0); TaskAttemptID taskAttemptid = new TaskAttemptID(taskId, 0); Job job = new Job(new Configuration()); job.setJobID(jobId); Configuration conf = job.getConfiguration(); conf.set(MRJobConfig.TASK_ATTEMPT_ID, taskAttemptid.toString()); FileSystem fs = new RawLocalFileSystem(); fs.setConf(conf); File fCommand = getFileCommand("it.crs4.pydoop.mapreduce.pipes.PipeApplicationStub"); //getFileCommand("it.crs4.pydoop.mapreduce.pipes.PipeApplicationRunnableStub"); conf.set(MRJobConfig.CACHE_LOCALFILES, fCommand.getAbsolutePath()); System.err.println("fCommand" + fCommand.getAbsolutePath()); Token<AMRMTokenIdentifier> token = new Token<AMRMTokenIdentifier>("user".getBytes(), "password".getBytes(), new Text("kind"), new Text("service")); TokenCache.setJobToken(token, job.getCredentials()); conf.setBoolean(MRJobConfig.SKIP_RECORDS, true); TestReporter reporter = new TestReporter(); DummyInputFormat input_format = new DummyInputFormat(); List<InputSplit> isplits = input_format.getSplits(job); InputSplit isplit = isplits.get(0); TaskAttemptContextImpl tcontext = new TaskAttemptContextImpl(conf, taskAttemptid); DummyRecordReader reader = (DummyRecordReader) input_format.createRecordReader(isplit, tcontext); job.setOutputKeyClass(IntWritable.class); job.setOutputValueClass(Text.class); RecordWriter<IntWritable, Text> writer = new TestRecordWriter( new FileOutputStream(workSpace.getAbsolutePath() + File.separator + "outfile")); MapContextImpl<IntWritable, Text, IntWritable, Text> context = new MapContextImpl<IntWritable, Text, IntWritable, Text>( conf, taskAttemptid, null, writer, null, reporter, null); System.err.println("ready to launch application"); Application<IntWritable, Text, IntWritable, Text> application = new Application<IntWritable, Text, IntWritable, Text>( context, reader); System.err.println("done"); application.getDownlink().flush(); application.getDownlink().mapItem(new IntWritable(3), new Text("txt")); application.getDownlink().flush(); application.waitForFinish(); // test getDownlink().mapItem(); String stdOut = readStdOut(conf); assertTrue(stdOut.contains("key:3")); assertTrue(stdOut.contains("value:txt")); assertEquals(0.0, context.getProgress(), 0.01); assertNotNull(context.getCounter("group", "name")); // test status MessageType.STATUS assertEquals(context.getStatus(), "PROGRESS"); // check MessageType.PROGRESS assertEquals(0.55f, reader.getProgress(), 0.001); application.getDownlink().close(); // test MessageType.OUTPUT stdOut = readFile(new File(workSpace.getAbsolutePath() + File.separator + "outfile")); assertTrue(stdOut.contains("key:123")); assertTrue(stdOut.contains("value:value")); try { // try to abort application.abort(new Throwable()); fail(); } catch (IOException e) { // abort works ? assertEquals("pipe child exception", e.getMessage()); } } finally { if (psw != null) { // remove password files for (File file : psw) { file.deleteOnExit(); } } } }
From source file:it.crs4.pydoop.mapreduce.pipes.TestPipeApplication.java
License:Apache License
/** * test org.apache.hadoop.mapreduce.pipes.PipesReducer * test the transfer of data: key and value * * @throws Exception/*from w w w .j a va 2s.com*/ */ @Test public void testPipesReducer() throws Exception { System.err.println("testPipesReducer"); File[] psw = cleanTokenPasswordFile(); try { JobID jobId = new JobID("201408272347", 0); TaskID taskId = new TaskID(jobId, TaskType.MAP, 0); TaskAttemptID taskAttemptid = new TaskAttemptID(taskId, 0); Job job = new Job(new Configuration()); job.setJobID(jobId); Configuration conf = job.getConfiguration(); conf.set(MRJobConfig.TASK_ATTEMPT_ID, taskAttemptid.toString()); FileSystem fs = new RawLocalFileSystem(); fs.setConf(conf); File fCommand = getFileCommand("it.crs4.pydoop.mapreduce.pipes.PipeReducerStub"); conf.set(MRJobConfig.CACHE_LOCALFILES, fCommand.getAbsolutePath()); System.err.println("fCommand" + fCommand.getAbsolutePath()); Token<AMRMTokenIdentifier> token = new Token<AMRMTokenIdentifier>("user".getBytes(), "password".getBytes(), new Text("kind"), new Text("service")); TokenCache.setJobToken(token, job.getCredentials()); conf.setBoolean(MRJobConfig.SKIP_RECORDS, true); TestReporter reporter = new TestReporter(); DummyInputFormat input_format = new DummyInputFormat(); List<InputSplit> isplits = input_format.getSplits(job); InputSplit isplit = isplits.get(0); TaskAttemptContextImpl tcontext = new TaskAttemptContextImpl(conf, taskAttemptid); RecordWriter<IntWritable, Text> writer = new TestRecordWriter( new FileOutputStream(workSpace.getAbsolutePath() + File.separator + "outfile")); BooleanWritable bw = new BooleanWritable(true); List<Text> texts = new ArrayList<Text>(); texts.add(new Text("first")); texts.add(new Text("second")); texts.add(new Text("third")); DummyRawKeyValueIterator kvit = new DummyRawKeyValueIterator(); ReduceContextImpl<BooleanWritable, Text, IntWritable, Text> context = new ReduceContextImpl<BooleanWritable, Text, IntWritable, Text>( conf, taskAttemptid, kvit, null, null, writer, null, null, null, BooleanWritable.class, Text.class); PipesReducer<BooleanWritable, Text, IntWritable, Text> reducer = new PipesReducer<BooleanWritable, Text, IntWritable, Text>(); reducer.setup(context); initStdOut(conf); reducer.reduce(bw, texts, context); reducer.cleanup(context); String stdOut = readStdOut(conf); // test data: key assertTrue(stdOut.contains("reducer key :true")); // and values assertTrue(stdOut.contains("reduce value :first")); assertTrue(stdOut.contains("reduce value :second")); assertTrue(stdOut.contains("reduce value :third")); } finally { if (psw != null) { // remove password files for (File file : psw) { file.deleteOnExit(); } } } }
From source file:it.crs4.pydoop.mapreduce.pipes.TestPipesNonJavaInputFormat.java
License:Apache License
/** * test PipesNonJavaInputFormat//from w ww . ja v a 2s. c om */ @Test public void testFormat() throws IOException, InterruptedException { JobID jobId = new JobID("201408272347", 0); TaskID taskId = new TaskID(jobId, TaskType.MAP, 0); TaskAttemptID taskAttemptid = new TaskAttemptID(taskId, 0); Job job = new Job(new Configuration()); job.setJobID(jobId); Configuration conf = job.getConfiguration(); TaskAttemptContextImpl tcontext = new TaskAttemptContextImpl(conf, taskAttemptid); PipesNonJavaInputFormat input_format = new PipesNonJavaInputFormat(); DummyRecordReader reader = (DummyRecordReader) input_format.createRecordReader(new FileSplit(), tcontext); assertEquals(0.0f, reader.getProgress(), 0.001); // input and output files File input1 = new File(workSpace + File.separator + "input1"); if (!input1.getParentFile().exists()) { Assert.assertTrue(input1.getParentFile().mkdirs()); } if (!input1.exists()) { Assert.assertTrue(input1.createNewFile()); } File input2 = new File(workSpace + File.separator + "input2"); if (!input2.exists()) { Assert.assertTrue(input2.createNewFile()); } // THIS fill fail without hdfs support. // // set data for splits // conf.set(org.apache.hadoop.mapreduce.lib.input.FileInputFormat.INPUT_DIR, // StringUtils.escapeString(input1.getAbsolutePath()) + "," // + StringUtils.escapeString(input2.getAbsolutePath())); // List<InputSplit> splits = input_format.getSplits(job); // assertTrue(splits.size() >= 2); PipesNonJavaInputFormat.PipesDummyRecordReader dummyRecordReader = new PipesNonJavaInputFormat.PipesDummyRecordReader( new FileSplit(), tcontext); // empty dummyRecordReader assertEquals(0.0, dummyRecordReader.getProgress(), 0.001); // test method next assertTrue(dummyRecordReader.next(new FloatWritable(2.0f), NullWritable.get())); assertEquals(2.0, dummyRecordReader.getProgress(), 0.001); dummyRecordReader.close(); }
From source file:mlbench.bayes.test.BayesTest.java
License:Apache License
@SuppressWarnings("deprecation") public static void main(String[] args) throws MPI_D_Exception, IOException, MPIException { parseArgs(args);/*w w w .j a v a2 s .c o m*/ HashMap<String, String> conf = new HashMap<String, String>(); initConf(conf); MPI_D.Init(args, MPI_D.Mode.Common, conf); if (MPI_D.COMM_BIPARTITE_O != null) { rank = MPI_D.Comm_rank(MPI_D.COMM_BIPARTITE_O); size = MPI_D.Comm_size(MPI_D.COMM_BIPARTITE_O); NaiveBayesModel model = NaiveBayesModel.materialize(modelPath, config); classifier = new StandardNaiveBayesClassifier(model); MPI_D.COMM_BIPARTITE_O.Barrier(); FileSplit[] inputs = DataMPIUtil.HDFSDataLocalLocator.getTaskInputs(MPI_D.COMM_BIPARTITE_O, (JobConf) config, inDir, rank); for (int i = 0; i < inputs.length; i++) { FileSplit fsplit = inputs[i]; SequenceFileRecordReader<Text, VectorWritable> kvrr = new SequenceFileRecordReader<>(config, fsplit); Text key = kvrr.createKey(); VectorWritable value = kvrr.createValue(); while (kvrr.next(key, value)) { Vector result = classifier.classifyFull(value.get()); MPI_D.Send(new Text(SLASH.split(key.toString())[1]), new VectorWritable(result)); } } } else if (MPI_D.COMM_BIPARTITE_A != null) { int rank = MPI_D.Comm_rank(MPI_D.COMM_BIPARTITE_A); config.set(MAPRED_OUTPUT_DIR, outDir); config.set("mapred.task.id", DataMPIUtil.getHadoopTaskAttemptID().toString().toString()); ((JobConf) config).setOutputKeyClass(Text.class); ((JobConf) config).setOutputValueClass(VectorWritable.class); TaskAttemptContext taskContext = new TaskAttemptContextImpl(config, DataMPIUtil.getHadoopTaskAttemptID()); SequenceFileOutputFormat<Text, VectorWritable> outfile = new SequenceFileOutputFormat<>(); FileSystem fs = FileSystem.get(config); Path output = new Path(config.get(MAPRED_OUTPUT_DIR)); FileOutputCommitter fcommitter = new FileOutputCommitter(output, taskContext); RecordWriter<Text, VectorWritable> outrw = null; try { fcommitter.setupJob(taskContext); outrw = outfile.getRecordWriter(fs, (JobConf) config, getOutputName(rank), null); } catch (IOException e) { e.printStackTrace(); System.err.println("ERROR: Please set the HDFS configuration properly\n"); System.exit(-1); } Text key = null; VectorWritable point = null; Vector vector = null; Object[] vals = MPI_D.Recv(); while (vals != null) { key = (Text) vals[0]; point = (VectorWritable) vals[1]; if (key != null && point != null) { vector = point.get(); outrw.write(key, new VectorWritable(vector)); } vals = MPI_D.Recv(); } outrw.close(null); if (fcommitter.needsTaskCommit(taskContext)) { fcommitter.commitTask(taskContext); } MPI_D.COMM_BIPARTITE_A.Barrier(); if (rank == 0) { // load the labels Map<Integer, String> labelMap = BayesUtils.readLabelIndex(config, labPath); // loop over the results and create the confusion matrix SequenceFileDirIterable<Text, VectorWritable> dirIterable = new SequenceFileDirIterable<Text, VectorWritable>( output, PathType.LIST, PathFilters.partFilter(), config); ResultAnalyzer analyzer = new ResultAnalyzer(labelMap.values(), "DEFAULT"); analyzeResults(labelMap, dirIterable, analyzer); } } MPI_D.Finalize(); }
From source file:mlbench.bayes.train.IndexInstances.java
License:Apache License
@SuppressWarnings({ "deprecation" })
public static void main(String[] args) throws MPI_D_Exception, IOException, MPIException {
parseArgs(args);//from www . ja v a 2 s . c o m
HashMap<String, String> conf = new HashMap<String, String>();
initConf(conf);
MPI_D.Init(args, MPI_D.Mode.Common, conf);
if (MPI_D.COMM_BIPARTITE_O != null) {
rank = MPI_D.Comm_rank(MPI_D.COMM_BIPARTITE_O);
if (rank == 0) {
System.out.println(IndexInstances.class.getSimpleName() + " O start.");
createLabelIndex(labPath);
}
HadoopUtil.cacheFiles(labPath, config);
MPI_D.COMM_BIPARTITE_O.Barrier();
OpenObjectIntHashMap<String> labelIndex = BayesUtils.readIndexFromCache(config);
if (MPI_D.COMM_BIPARTITE_O != null) {
// O communicator
int rank = MPI_D.Comm_rank(MPI_D.COMM_BIPARTITE_O);
int size = MPI_D.Comm_size(MPI_D.COMM_BIPARTITE_O);
FileSplit[] inputs = DataMPIUtil.HDFSDataLocalLocator.getTaskInputs(MPI_D.COMM_BIPARTITE_O,
(JobConf) config, inDir, rank);
for (int i = 0; i < inputs.length; i++) {
FileSplit fsplit = inputs[i];
SequenceFileRecordReader<Text, VectorWritable> kvrr = new SequenceFileRecordReader<>(config,
fsplit);
Text labelText = kvrr.createKey();
VectorWritable instance = kvrr.createValue();
while (kvrr.next(labelText, instance)) {
String label = SLASH.split(labelText.toString())[1];
if (labelIndex.containsKey(label)) {
MPI_D.Send(new IntWritable(labelIndex.get(label)), instance);
}
}
}
}
} else if (MPI_D.COMM_BIPARTITE_A != null) {
int rank = MPI_D.Comm_rank(MPI_D.COMM_BIPARTITE_A);
config.set(MAPRED_OUTPUT_DIR, outDir);
config.set("mapred.task.id", DataMPIUtil.getHadoopTaskAttemptID().toString().toString());
((JobConf) config).setOutputKeyClass(IntWritable.class);
((JobConf) config).setOutputValueClass(VectorWritable.class);
TaskAttemptContext taskContext = new TaskAttemptContextImpl(config,
DataMPIUtil.getHadoopTaskAttemptID());
SequenceFileOutputFormat<IntWritable, VectorWritable> outfile = new SequenceFileOutputFormat<>();
FileSystem fs = FileSystem.get(config);
Path output = new Path(config.get(MAPRED_OUTPUT_DIR));
FileOutputCommitter fcommitter = new FileOutputCommitter(output, taskContext);
RecordWriter<IntWritable, VectorWritable> outrw = null;
try {
fcommitter.setupJob(taskContext);
outrw = outfile.getRecordWriter(fs, (JobConf) config, getOutputName(rank), null);
} catch (IOException e) {
e.printStackTrace();
System.err.println("ERROR: Please set the HDFS configuration properly\n");
System.exit(-1);
}
IntWritable key = null, newKey = null;
VectorWritable point = null, newPoint = null;
Vector vector = null;
Object[] vals = MPI_D.Recv();
while (vals != null) {
newKey = (IntWritable) vals[0];
newPoint = (VectorWritable) vals[1];
if (key == null && point == null) {
} else if (!key.equals(newKey)) {
outrw.write(key, new VectorWritable(vector));
vector = null;
}
if (vector == null) {
vector = newPoint.get();
} else {
vector.assign(newPoint.get(), Functions.PLUS);
}
key = newKey;
point = newPoint;
vals = MPI_D.Recv();
}
if (newKey != null && newPoint != null) {
outrw.write(key, new VectorWritable(vector));
}
outrw.close(null);
if (fcommitter.needsTaskCommit(taskContext)) {
fcommitter.commitTask(taskContext);
}
}
MPI_D.Finalize();
}
From source file:mlbench.bayes.train.WeightSummer.java
License:Apache License
@SuppressWarnings("deprecation") public static void main(String[] args) throws MPI_D_Exception, IOException, MPIException { parseArgs(args);/* w w w . j av a2 s . c om*/ HashMap<String, String> conf = new HashMap<String, String>(); initConf(conf); MPI_D.Init(args, MPI_D.Mode.Common, conf); if (MPI_D.COMM_BIPARTITE_O != null) { int rank = MPI_D.Comm_rank(MPI_D.COMM_BIPARTITE_O); int size = MPI_D.Comm_size(MPI_D.COMM_BIPARTITE_O); FileSplit[] inputs = DataMPIUtil.HDFSDataLocalLocator.getTaskInputs(MPI_D.COMM_BIPARTITE_O, (JobConf) config, inDir, rank); Vector weightsPerFeature = null; Vector weightsPerLabel = new DenseVector(labNum); for (int i = 0; i < inputs.length; i++) { FileSplit fsplit = inputs[i]; SequenceFileRecordReader<IntWritable, VectorWritable> kvrr = new SequenceFileRecordReader<>(config, fsplit); IntWritable index = kvrr.createKey(); VectorWritable value = kvrr.createValue(); while (kvrr.next(index, value)) { Vector instance = value.get(); if (weightsPerFeature == null) { weightsPerFeature = new RandomAccessSparseVector(instance.size(), instance.getNumNondefaultElements()); } int label = index.get(); weightsPerFeature.assign(instance, Functions.PLUS); weightsPerLabel.set(label, weightsPerLabel.get(label) + instance.zSum()); } } if (weightsPerFeature != null) { MPI_D.Send(new Text(WEIGHTS_PER_FEATURE), new VectorWritable(weightsPerFeature)); MPI_D.Send(new Text(WEIGHTS_PER_LABEL), new VectorWritable(weightsPerLabel)); } } else if (MPI_D.COMM_BIPARTITE_A != null) { int rank = MPI_D.Comm_rank(MPI_D.COMM_BIPARTITE_A); config.set(MAPRED_OUTPUT_DIR, outDirW); config.set("mapred.task.id", DataMPIUtil.getHadoopTaskAttemptID().toString().toString()); ((JobConf) config).setOutputKeyClass(Text.class); ((JobConf) config).setOutputValueClass(VectorWritable.class); TaskAttemptContext taskContext = new TaskAttemptContextImpl(config, DataMPIUtil.getHadoopTaskAttemptID()); SequenceFileOutputFormat<Text, VectorWritable> outfile = new SequenceFileOutputFormat<>(); FileSystem fs = FileSystem.get(config); Path output = new Path(config.get(MAPRED_OUTPUT_DIR)); FileOutputCommitter fcommitter = new FileOutputCommitter(output, taskContext); RecordWriter<Text, VectorWritable> outrw = null; try { fcommitter.setupJob(taskContext); outrw = outfile.getRecordWriter(fs, (JobConf) config, getOutputName(rank), null); } catch (IOException e) { e.printStackTrace(); System.err.println("ERROR: Please set the HDFS configuration properly\n"); System.exit(-1); } Text key = null, newKey = null; VectorWritable point = null, newPoint = null; Vector vector = null; Object[] vals = MPI_D.Recv(); while (vals != null) { newKey = (Text) vals[0]; newPoint = (VectorWritable) vals[1]; if (key == null && point == null) { } else if (!key.equals(newKey)) { outrw.write(key, new VectorWritable(vector)); vector = null; } if (vector == null) { vector = newPoint.get(); } else { vector.assign(newPoint.get(), Functions.PLUS); } key = newKey; point = newPoint; vals = MPI_D.Recv(); } if (newKey != null && newPoint != null) { outrw.write(key, new VectorWritable(vector)); } outrw.close(null); if (fcommitter.needsTaskCommit(taskContext)) { fcommitter.commitTask(taskContext); } MPI_D.COMM_BIPARTITE_A.Barrier(); if (rank == 0) { Path resOut = new Path(outDir); NaiveBayesModel naiveBayesModel = BayesUtils.readModelFromDir(new Path(outDir), config); naiveBayesModel.serialize(resOut, config); } } MPI_D.Finalize(); }