Java Code Examples for org.apache.hadoop.mapreduce.OutputFormat#getRecordWriter()

The following examples show how to use org.apache.hadoop.mapreduce.OutputFormat#getRecordWriter() . You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may check out the related API usage on the sidebar.
Example 1
Source File: MultithreadedMapper.java    From marklogic-contentpump with Apache License 2.0 6 votes vote down vote up
MapRunner() throws IOException, InterruptedException, 
     ClassNotFoundException {
         // initiate the real mapper that does the work
         mapper = ReflectionUtils.newInstance(mapClass,
             outer.getConfiguration());
         @SuppressWarnings("unchecked")
OutputFormat<K2, V2> outputFormat = (OutputFormat<K2, V2>) 
    ReflectionUtils.newInstance(outer.getOutputFormatClass(),
             outer.getConfiguration());
         try {
             // outputFormat is not initialized.  Relying on everything it 
             // needs can be obtained from the AssignmentManager singleton.
             writer = outputFormat.getRecordWriter(outer);
             subcontext = (Context)ReflectionUtil.createMapperContext(
                 mapper, outer.getConfiguration(), outer.getTaskAttemptID(),                 
                 new SubMapRecordReader(), writer,
                 outer.getOutputCommitter(), new SubMapStatusReporter(),
                 outer.getInputSplit());
         } catch (Exception e) {
             throw new IOException("Error creating mapper context", e);
         }
     }
 
Example 2
Source File: MneMapreduceBufferDataTest.java    From mnemonic with Apache License 2.0 6 votes vote down vote up
@Test(enabled = true)
public void testWriteBufferData() throws Exception {
  NullWritable nada = NullWritable.get();
  MneDurableOutputSession<DurableBuffer<?>> sess =
      new MneDurableOutputSession<DurableBuffer<?>>(m_tacontext, null,
          MneConfigHelper.DEFAULT_OUTPUT_CONFIG_PREFIX);
  MneDurableOutputValue<DurableBuffer<?>> mdvalue =
      new MneDurableOutputValue<DurableBuffer<?>>(sess);
  OutputFormat<NullWritable, MneDurableOutputValue<DurableBuffer<?>>> outputFormat =
      new MneOutputFormat<MneDurableOutputValue<DurableBuffer<?>>>();
  RecordWriter<NullWritable, MneDurableOutputValue<DurableBuffer<?>>> writer =
      outputFormat.getRecordWriter(m_tacontext);
  DurableBuffer<?> dbuf = null;
  Checksum cs = new CRC32();
  cs.reset();
  for (int i = 0; i < m_reccnt; ++i) {
    dbuf = genupdDurableBuffer(sess, cs);
    Assert.assertNotNull(dbuf);
    writer.write(nada, mdvalue.of(dbuf));
  }
  m_checksum = cs.getValue();
  writer.close(m_tacontext);
  sess.close();
}
 
Example 3
Source File: MneMapreduceChunkDataTest.java    From mnemonic with Apache License 2.0 6 votes vote down vote up
@Test(enabled = true)
public void testWriteChunkData() throws Exception {
  NullWritable nada = NullWritable.get();
  MneDurableOutputSession<DurableChunk<?>> sess =
      new MneDurableOutputSession<DurableChunk<?>>(m_tacontext, null,
          MneConfigHelper.DEFAULT_OUTPUT_CONFIG_PREFIX);
  MneDurableOutputValue<DurableChunk<?>> mdvalue =
      new MneDurableOutputValue<DurableChunk<?>>(sess);
  OutputFormat<NullWritable, MneDurableOutputValue<DurableChunk<?>>> outputFormat =
      new MneOutputFormat<MneDurableOutputValue<DurableChunk<?>>>();
  RecordWriter<NullWritable, MneDurableOutputValue<DurableChunk<?>>> writer =
      outputFormat.getRecordWriter(m_tacontext);
  DurableChunk<?> dchunk = null;
  Checksum cs = new CRC32();
  cs.reset();
  for (int i = 0; i < m_reccnt; ++i) {
    dchunk = genupdDurableChunk(sess, cs);
    Assert.assertNotNull(dchunk);
    writer.write(nada, mdvalue.of(dchunk));
  }
  m_checksum = cs.getValue();
  writer.close(m_tacontext);
  sess.close();
}
 
Example 4
Source File: MneMapreducePersonDataTest.java    From mnemonic with Apache License 2.0 6 votes vote down vote up
@Test(enabled = true)
public void testWritePersonData() throws Exception {
  NullWritable nada = NullWritable.get();
  MneDurableOutputSession<Person<Long>> sess =
      new MneDurableOutputSession<Person<Long>>(m_tacontext, null,
          MneConfigHelper.DEFAULT_OUTPUT_CONFIG_PREFIX);
  MneDurableOutputValue<Person<Long>> mdvalue =
      new MneDurableOutputValue<Person<Long>>(sess);
  OutputFormat<NullWritable, MneDurableOutputValue<Person<Long>>> outputFormat =
      new MneOutputFormat<MneDurableOutputValue<Person<Long>>>();
  RecordWriter<NullWritable, MneDurableOutputValue<Person<Long>>> writer =
      outputFormat.getRecordWriter(m_tacontext);
  Person<Long> person = null;
  for (int i = 0; i < m_reccnt; ++i) {
    person = sess.newDurableObjectRecord();
    person.setAge((short) m_rand.nextInt(50));
    person.setName(String.format("Name: [%s]", Utils.genRandomString()), true);
    m_sumage += person.getAge();
    writer.write(nada, mdvalue.of(person));
  }
  writer.close(m_tacontext);
  sess.close();
}
 
Example 5
Source File: MneMapreduceLongDataTest.java    From mnemonic with Apache License 2.0 6 votes vote down vote up
@Test(enabled = true)
public void testWriteLongData() throws Exception {
  NullWritable nada = NullWritable.get();
  MneDurableOutputSession<Long> sess =
      new MneDurableOutputSession<Long>(m_tacontext, null,
          MneConfigHelper.DEFAULT_OUTPUT_CONFIG_PREFIX);
  MneDurableOutputValue<Long> mdvalue =
      new MneDurableOutputValue<Long>(sess);
  OutputFormat<NullWritable, MneDurableOutputValue<Long>> outputFormat =
      new MneOutputFormat<MneDurableOutputValue<Long>>();
  RecordWriter<NullWritable, MneDurableOutputValue<Long>> writer =
      outputFormat.getRecordWriter(m_tacontext);
  Long val = null;
  for (int i = 0; i < m_reccnt; ++i) {
    val = m_rand.nextLong();
    m_sum += val;
    writer.write(nada, mdvalue.of(val));
  }
  writer.close(m_tacontext);
  sess.close();
}
 
Example 6
Source File: MapReducePOStoreImpl.java    From spork with Apache License 2.0 6 votes vote down vote up
@Override
public StoreFuncInterface createStoreFunc(POStore store)
        throws IOException {

    StoreFuncInterface storeFunc = store.getStoreFunc();

    // call the setStoreLocation on the storeFunc giving it the
    // Job. Typically this will result in the OutputFormat of the
    // storeFunc storing the output location in the Configuration
    // in the Job. The PigOutFormat.setLocation() method will merge
    // this modified Configuration into the configuration of the
    // Context we have
    PigOutputFormat.setLocation(context, store);
    OutputFormat<?,?> outputFormat = storeFunc.getOutputFormat();

    // create a new record writer
    try {
        writer = outputFormat.getRecordWriter(context);
    } catch (InterruptedException e) {
        throw new IOException(e);
    }

    storeFunc.prepareToWrite(writer);

    return storeFunc;
}
 
Example 7
Source File: HadoopFormatIO.java    From beam with Apache License 2.0 5 votes vote down vote up
private RecordWriter<KeyT, ValueT> initRecordWriter(
    OutputFormat<KeyT, ValueT> outputFormatObj, TaskAttemptContext taskAttemptContext)
    throws IllegalStateException {
  try {
    LOG.info(
        "Creating new RecordWriter for task {} of Job with id {}.",
        taskAttemptContext.getTaskAttemptID().getTaskID().getId(),
        taskAttemptContext.getJobID().getJtIdentifier());
    return outputFormatObj.getRecordWriter(taskAttemptContext);
  } catch (InterruptedException | IOException e) {
    throw new IllegalStateException("Unable to create RecordWriter object: ", e);
  }
}
 
Example 8
Source File: TestMRSequenceFileAsBinaryOutputFormat.java    From hadoop with Apache License 2.0 4 votes vote down vote up
public void testBinary() throws IOException, InterruptedException {
  Configuration conf = new Configuration();
  Job job = Job.getInstance(conf);
  
  Path outdir = new Path(System.getProperty("test.build.data", "/tmp"),
                  "outseq");
  Random r = new Random();
  long seed = r.nextLong();
  r.setSeed(seed);

  FileOutputFormat.setOutputPath(job, outdir);

  SequenceFileAsBinaryOutputFormat.setSequenceFileOutputKeyClass(job, 
                                        IntWritable.class );
  SequenceFileAsBinaryOutputFormat.setSequenceFileOutputValueClass(job, 
                                        DoubleWritable.class ); 

  SequenceFileAsBinaryOutputFormat.setCompressOutput(job, true);
  SequenceFileAsBinaryOutputFormat.setOutputCompressionType(job, 
                                                     CompressionType.BLOCK);

  BytesWritable bkey = new BytesWritable();
  BytesWritable bval = new BytesWritable();

  TaskAttemptContext context = 
    MapReduceTestUtil.createDummyMapTaskAttemptContext(job.getConfiguration());
  OutputFormat<BytesWritable, BytesWritable> outputFormat = 
    new SequenceFileAsBinaryOutputFormat();
  OutputCommitter committer = outputFormat.getOutputCommitter(context);
  committer.setupJob(job);
  RecordWriter<BytesWritable, BytesWritable> writer = outputFormat.
    getRecordWriter(context);

  IntWritable iwritable = new IntWritable();
  DoubleWritable dwritable = new DoubleWritable();
  DataOutputBuffer outbuf = new DataOutputBuffer();
  LOG.info("Creating data by SequenceFileAsBinaryOutputFormat");
  try {
    for (int i = 0; i < RECORDS; ++i) {
      iwritable = new IntWritable(r.nextInt());
      iwritable.write(outbuf);
      bkey.set(outbuf.getData(), 0, outbuf.getLength());
      outbuf.reset();
      dwritable = new DoubleWritable(r.nextDouble());
      dwritable.write(outbuf);
      bval.set(outbuf.getData(), 0, outbuf.getLength());
      outbuf.reset();
      writer.write(bkey, bval);
    }
  } finally {
    writer.close(context);
  }
  committer.commitTask(context);
  committer.commitJob(job);

  InputFormat<IntWritable, DoubleWritable> iformat =
    new SequenceFileInputFormat<IntWritable, DoubleWritable>();
  int count = 0;
  r.setSeed(seed);
  SequenceFileInputFormat.setInputPaths(job, outdir);
  LOG.info("Reading data by SequenceFileInputFormat");
  for (InputSplit split : iformat.getSplits(job)) {
    RecordReader<IntWritable, DoubleWritable> reader =
      iformat.createRecordReader(split, context);
    MapContext<IntWritable, DoubleWritable, BytesWritable, BytesWritable> 
      mcontext = new MapContextImpl<IntWritable, DoubleWritable,
        BytesWritable, BytesWritable>(job.getConfiguration(), 
        context.getTaskAttemptID(), reader, null, null, 
        MapReduceTestUtil.createDummyReporter(), 
        split);
    reader.initialize(split, mcontext);
    try {
      int sourceInt;
      double sourceDouble;
      while (reader.nextKeyValue()) {
        sourceInt = r.nextInt();
        sourceDouble = r.nextDouble();
        iwritable = reader.getCurrentKey();
        dwritable = reader.getCurrentValue();
        assertEquals(
            "Keys don't match: " + "*" + iwritable.get() + ":" + 
                                         sourceInt + "*",
            sourceInt, iwritable.get());
        assertTrue(
            "Vals don't match: " + "*" + dwritable.get() + ":" +
                                         sourceDouble + "*",
            Double.compare(dwritable.get(), sourceDouble) == 0 );
        ++count;
      }
    } finally {
      reader.close();
    }
  }
  assertEquals("Some records not found", RECORDS, count);
}
 
Example 9
Source File: TestMRSequenceFileAsBinaryOutputFormat.java    From big-c with Apache License 2.0 4 votes vote down vote up
public void testBinary() throws IOException, InterruptedException {
  Configuration conf = new Configuration();
  Job job = Job.getInstance(conf);
  
  Path outdir = new Path(System.getProperty("test.build.data", "/tmp"),
                  "outseq");
  Random r = new Random();
  long seed = r.nextLong();
  r.setSeed(seed);

  FileOutputFormat.setOutputPath(job, outdir);

  SequenceFileAsBinaryOutputFormat.setSequenceFileOutputKeyClass(job, 
                                        IntWritable.class );
  SequenceFileAsBinaryOutputFormat.setSequenceFileOutputValueClass(job, 
                                        DoubleWritable.class ); 

  SequenceFileAsBinaryOutputFormat.setCompressOutput(job, true);
  SequenceFileAsBinaryOutputFormat.setOutputCompressionType(job, 
                                                     CompressionType.BLOCK);

  BytesWritable bkey = new BytesWritable();
  BytesWritable bval = new BytesWritable();

  TaskAttemptContext context = 
    MapReduceTestUtil.createDummyMapTaskAttemptContext(job.getConfiguration());
  OutputFormat<BytesWritable, BytesWritable> outputFormat = 
    new SequenceFileAsBinaryOutputFormat();
  OutputCommitter committer = outputFormat.getOutputCommitter(context);
  committer.setupJob(job);
  RecordWriter<BytesWritable, BytesWritable> writer = outputFormat.
    getRecordWriter(context);

  IntWritable iwritable = new IntWritable();
  DoubleWritable dwritable = new DoubleWritable();
  DataOutputBuffer outbuf = new DataOutputBuffer();
  LOG.info("Creating data by SequenceFileAsBinaryOutputFormat");
  try {
    for (int i = 0; i < RECORDS; ++i) {
      iwritable = new IntWritable(r.nextInt());
      iwritable.write(outbuf);
      bkey.set(outbuf.getData(), 0, outbuf.getLength());
      outbuf.reset();
      dwritable = new DoubleWritable(r.nextDouble());
      dwritable.write(outbuf);
      bval.set(outbuf.getData(), 0, outbuf.getLength());
      outbuf.reset();
      writer.write(bkey, bval);
    }
  } finally {
    writer.close(context);
  }
  committer.commitTask(context);
  committer.commitJob(job);

  InputFormat<IntWritable, DoubleWritable> iformat =
    new SequenceFileInputFormat<IntWritable, DoubleWritable>();
  int count = 0;
  r.setSeed(seed);
  SequenceFileInputFormat.setInputPaths(job, outdir);
  LOG.info("Reading data by SequenceFileInputFormat");
  for (InputSplit split : iformat.getSplits(job)) {
    RecordReader<IntWritable, DoubleWritable> reader =
      iformat.createRecordReader(split, context);
    MapContext<IntWritable, DoubleWritable, BytesWritable, BytesWritable> 
      mcontext = new MapContextImpl<IntWritable, DoubleWritable,
        BytesWritable, BytesWritable>(job.getConfiguration(), 
        context.getTaskAttemptID(), reader, null, null, 
        MapReduceTestUtil.createDummyReporter(), 
        split);
    reader.initialize(split, mcontext);
    try {
      int sourceInt;
      double sourceDouble;
      while (reader.nextKeyValue()) {
        sourceInt = r.nextInt();
        sourceDouble = r.nextDouble();
        iwritable = reader.getCurrentKey();
        dwritable = reader.getCurrentValue();
        assertEquals(
            "Keys don't match: " + "*" + iwritable.get() + ":" + 
                                         sourceInt + "*",
            sourceInt, iwritable.get());
        assertTrue(
            "Vals don't match: " + "*" + dwritable.get() + ":" +
                                         sourceDouble + "*",
            Double.compare(dwritable.get(), sourceDouble) == 0 );
        ++count;
      }
    } finally {
      reader.close();
    }
  }
  assertEquals("Some records not found", RECORDS, count);
}
 
Example 10
Source File: RecordReaderWriterTest.java    From tinkerpop with Apache License 2.0 4 votes vote down vote up
private static void validateFileSplits(final List<FileSplit> fileSplits, final Configuration configuration,
                                       final Class<? extends InputFormat<NullWritable, VertexWritable>> inputFormatClass,
                                       final Optional<Class<? extends OutputFormat<NullWritable, VertexWritable>>> outFormatClass) throws Exception {

    final InputFormat inputFormat = ReflectionUtils.newInstance(inputFormatClass, configuration);
    final TaskAttemptContext job = new TaskAttemptContextImpl(configuration, new TaskAttemptID(UUID.randomUUID().toString(), 0, TaskType.MAP, 0, 0));

    int vertexCount = 0;
    int outEdgeCount = 0;
    int inEdgeCount = 0;

    final OutputFormat<NullWritable, VertexWritable> outputFormat = outFormatClass.isPresent() ? ReflectionUtils.newInstance(outFormatClass.get(), configuration) : null;
    final RecordWriter<NullWritable, VertexWritable> writer = null == outputFormat ? null : outputFormat.getRecordWriter(job);

    boolean foundKeyValue = false;
    for (final FileSplit split : fileSplits) {
        logger.info("\treading file split {}", split.getPath().getName() + " ({}", split.getStart() + "..." + (split.getStart() + split.getLength()), "{} {} bytes)");
        final RecordReader reader = inputFormat.createRecordReader(split, job);

        float lastProgress = -1f;
        while (reader.nextKeyValue()) {
            //System.out.println("" + reader.getProgress() + "> " + reader.getCurrentKey() + ": " + reader.getCurrentValue());
            final float progress = reader.getProgress();
            assertTrue(progress >= lastProgress);
            assertEquals(NullWritable.class, reader.getCurrentKey().getClass());
            final VertexWritable vertexWritable = (VertexWritable) reader.getCurrentValue();
            if (null != writer) writer.write(NullWritable.get(), vertexWritable);
            vertexCount++;
            outEdgeCount = outEdgeCount + (int) IteratorUtils.count(vertexWritable.get().edges(Direction.OUT));
            inEdgeCount = inEdgeCount + (int) IteratorUtils.count(vertexWritable.get().edges(Direction.IN));
            //
            final Vertex vertex = vertexWritable.get();
            assertEquals(Integer.class, vertex.id().getClass());
            if (vertex.value("name").equals("SUGAR MAGNOLIA")) {
                foundKeyValue = true;
                assertEquals(92, IteratorUtils.count(vertex.edges(Direction.OUT)));
                assertEquals(77, IteratorUtils.count(vertex.edges(Direction.IN)));
            }
            lastProgress = progress;
        }
    }

    assertEquals(8049, outEdgeCount);
    assertEquals(8049, inEdgeCount);
    assertEquals(outEdgeCount, inEdgeCount);
    assertEquals(808, vertexCount);
    assertTrue(foundKeyValue);

    if (null != writer) {
        writer.close(new TaskAttemptContextImpl(configuration, job.getTaskAttemptID()));
        for (int i = 1; i < 10; i++) {
            final File outputDirectory = new File(new URL(configuration.get("mapreduce.output.fileoutputformat.outputdir")).toURI());
            final List<FileSplit> splits = generateFileSplits(new File(outputDirectory.getAbsoluteFile() + "/_temporary/0/_temporary/" + job.getTaskAttemptID().getTaskID().toString().replace("task", "attempt") + "_0" + "/part-m-00000"), i);
            validateFileSplits(splits, configuration, inputFormatClass, Optional.empty());
        }
    }
}
 
Example 11
Source File: PerfTest2.java    From parquet-mr with Apache License 2.0 4 votes vote down vote up
public static void write(String out) throws IOException, ParserException,
    InterruptedException, ExecException {
  {
    StringBuilder schemaString = new StringBuilder("a0: chararray");
    for (int i = 1; i < COLUMN_COUNT; i++) {
      schemaString.append(", a" + i + ": chararray");
    }

    String location = out;
    String schema = schemaString.toString();

    StoreFuncInterface storer = new ParquetStorer();
    Job job = new Job(conf);
    storer.setStoreFuncUDFContextSignature("sig");
    String absPath = storer.relToAbsPathForStoreLocation(location, new Path(new File(".").getAbsoluteFile().toURI()));
    storer.setStoreLocation(absPath, job);
    storer.checkSchema(new ResourceSchema(Utils.getSchemaFromString(schema)));
    @SuppressWarnings("unchecked") // that's how the base class is defined
    OutputFormat<Void, Tuple> outputFormat = storer.getOutputFormat();
    // it's ContextUtil.getConfiguration(job) and not just conf !
    JobContext jobContext = ContextUtil.newJobContext(ContextUtil.getConfiguration(job), new JobID("jt", jobid ++));
    outputFormat.checkOutputSpecs(jobContext);
    if (schema != null) {
      ResourceSchema resourceSchema = new ResourceSchema(Utils.getSchemaFromString(schema));
      storer.checkSchema(resourceSchema);
      if (storer instanceof StoreMetadata) {
        ((StoreMetadata)storer).storeSchema(resourceSchema, absPath, job);
      }
    }
    TaskAttemptContext taskAttemptContext = ContextUtil.newTaskAttemptContext(ContextUtil.getConfiguration(job), new TaskAttemptID("jt", jobid, true, 1, 0));
    RecordWriter<Void, Tuple> recordWriter = outputFormat.getRecordWriter(taskAttemptContext);
    storer.prepareToWrite(recordWriter);

    for (int i = 0; i < ROW_COUNT; i++) {
      Tuple tuple = TupleFactory.getInstance().newTuple(COLUMN_COUNT);
      for (int j = 0; j < COLUMN_COUNT; j++) {
        tuple.set(j, "a" + i + "_" + j);
      }
      storer.putNext(tuple);
    }

    recordWriter.close(taskAttemptContext);
    OutputCommitter outputCommitter = outputFormat.getOutputCommitter(taskAttemptContext);
    outputCommitter.commitTask(taskAttemptContext);
    outputCommitter.commitJob(jobContext);

  }
}