Examples with TaskAttemptContextImpl org.apache.hadoop.mapreduce.task.TaskAttemptContextImpl used on opensource projects

Example 16 with TaskAttemptContextImpl

use of org.apache.hadoop.mapreduce.task.TaskAttemptContextImpl in project jena by apache.

the class AbstractBlankNodeTests method blank_node_divergence_02.

/**
     * Test that starts with two blank nodes with the same identity in a single
     * file, splits them over two files and shows that they diverge in the
     * subsequent job when the JENA-820 workaround is not enabled
     * 
     * @throws IOException
     * @throws InterruptedException
     */
@Test
public void blank_node_divergence_02() throws IOException, InterruptedException {
    Assume.assumeTrue("Requires ParserProfile be respected", this.respectsParserProfile());
    Assume.assumeFalse("Requires that Blank Node identity not be preserved", this.preservesBlankNodeIdentity());
    // Temporary files
    File a = File.createTempFile("bnode_divergence", getInitialInputExtension());
    File intermediateOutputDir = Files.createTempDirectory("bnode_divergence", new FileAttribute[0]).toFile();
    try {
        // Prepare the input data
        // Two mentions of the same blank node in the same file
        List<T> tuples = new ArrayList<>();
        Node bnode = NodeFactory.createBlankNode();
        Node pred = NodeFactory.createURI("http://example.org/predicate");
        tuples.add(createTuple(bnode, pred, NodeFactory.createLiteral("first")));
        tuples.add(createTuple(bnode, pred, NodeFactory.createLiteral("second")));
        writeTuples(a, tuples);
        // Set up fake job which will process the file as a single split
        Configuration config = new Configuration(true);
        InputFormat<LongWritable, TValue> inputFormat = createInitialInputFormat();
        Job job = Job.getInstance(config);
        job.setInputFormatClass(inputFormat.getClass());
        NLineInputFormat.setNumLinesPerSplit(job, 100);
        FileInputFormat.setInputPaths(job, new Path(a.getAbsolutePath()));
        FileOutputFormat.setOutputPath(job, new Path(intermediateOutputDir.getAbsolutePath()));
        JobContext context = new JobContextImpl(job.getConfiguration(), job.getJobID());
        // Get the splits
        List<InputSplit> splits = inputFormat.getSplits(context);
        Assert.assertEquals(1, splits.size());
        for (InputSplit split : splits) {
            // Initialize the input reading
            TaskAttemptContext inputTaskContext = new TaskAttemptContextImpl(job.getConfiguration(), createAttemptID(1, 1, 1));
            RecordReader<LongWritable, TValue> reader = inputFormat.createRecordReader(split, inputTaskContext);
            reader.initialize(split, inputTaskContext);
            // Copy the input to the output - each triple goes to a separate
            // output file
            // This is how we force multiple files to be produced
            int taskID = 1;
            while (reader.nextKeyValue()) {
                // Prepare the output writing
                OutputFormat<LongWritable, TValue> outputFormat = createIntermediateOutputFormat();
                TaskAttemptContext outputTaskContext = new TaskAttemptContextImpl(job.getConfiguration(), createAttemptID(1, ++taskID, 1));
                RecordWriter<LongWritable, TValue> writer = outputFormat.getRecordWriter(outputTaskContext);
                writer.write(reader.getCurrentKey(), reader.getCurrentValue());
                writer.close(outputTaskContext);
            }
        }
        // Promote outputs from temporary status
        promoteInputs(intermediateOutputDir);
        // Now we need to create a subsequent job that reads the
        // intermediate outputs
        // As described in JENA-820 at this point the blank nodes are
        // consistent, however when we read them from different files they
        // by default get treated as different nodes and so the blank nodes
        // diverge which is incorrect and undesirable behaviour in
        // multi-stage pipelines. However it is the default behaviour
        // because when we start from external inputs we want them to be
        // file scoped.
        LOGGER.debug("Intermediate output directory is {}", intermediateOutputDir.getAbsolutePath());
        job = Job.getInstance(config);
        inputFormat = createIntermediateInputFormat();
        job.setInputFormatClass(inputFormat.getClass());
        FileInputFormat.setInputPaths(job, new Path(intermediateOutputDir.getAbsolutePath()));
        // Make sure JENA-820 flag is disabled
        job.getConfiguration().setBoolean(RdfIOConstants.GLOBAL_BNODE_IDENTITY, false);
        context = new JobContextImpl(job.getConfiguration(), job.getJobID());
        // Get the splits
        splits = inputFormat.getSplits(context);
        Assert.assertEquals(2, splits.size());
        // Expect to end up with a single blank node
        Set<Node> nodes = new HashSet<Node>();
        for (InputSplit split : splits) {
            TaskAttemptContext inputTaskContext = new TaskAttemptContextImpl(job.getConfiguration(), new TaskAttemptID());
            RecordReader<LongWritable, TValue> reader = inputFormat.createRecordReader(split, inputTaskContext);
            reader.initialize(split, inputTaskContext);
            while (reader.nextKeyValue()) {
                nodes.add(getSubject(reader.getCurrentValue().get()));
            }
        }
        // Nodes should have diverged
        Assert.assertEquals(2, nodes.size());
    } finally {
        a.delete();
        deleteDirectory(intermediateOutputDir);
    }
}

Example 17 with TaskAttemptContextImpl

use of org.apache.hadoop.mapreduce.task.TaskAttemptContextImpl in project jena by apache.

the class AbstractBlankNodeTests method blank_node_identity_01.

/**
     * Test that starts with two blank nodes in two different files and checks
     * that writing them to a single file does not conflate them
     * 
     * @throws IOException
     * @throws InterruptedException
     */
@Test
public void blank_node_identity_01() throws IOException, InterruptedException {
    Assume.assumeTrue("Requires ParserProfile be respected", this.respectsParserProfile());
    Assume.assumeFalse("Requires that Blank Node identity not be preserved", this.preservesBlankNodeIdentity());
    // Temporary files
    File a = File.createTempFile("bnode_identity", getInitialInputExtension());
    File b = File.createTempFile("bnode_identity", getInitialInputExtension());
    File intermediateOutputDir = Files.createTempDirectory("bnode_identity", new FileAttribute[0]).toFile();
    try {
        // Prepare the input data
        // Different blank nodes in different files
        List<T> tuples = new ArrayList<>();
        Node bnode1 = NodeFactory.createBlankNode();
        Node bnode2 = NodeFactory.createBlankNode();
        Node pred = NodeFactory.createURI("http://example.org/predicate");
        tuples.add(createTuple(bnode1, pred, NodeFactory.createLiteral("first")));
        writeTuples(a, tuples);
        tuples.clear();
        tuples.add(createTuple(bnode2, pred, NodeFactory.createLiteral("second")));
        writeTuples(b, tuples);
        // Set up fake job which will process the two files
        Configuration config = new Configuration(true);
        InputFormat<LongWritable, TValue> inputFormat = createInitialInputFormat();
        Job job = Job.getInstance(config);
        job.setInputFormatClass(inputFormat.getClass());
        NLineInputFormat.setNumLinesPerSplit(job, 100);
        FileInputFormat.setInputPaths(job, new Path(a.getAbsolutePath()), new Path(b.getAbsolutePath()));
        FileOutputFormat.setOutputPath(job, new Path(intermediateOutputDir.getAbsolutePath()));
        JobContext context = new JobContextImpl(job.getConfiguration(), job.getJobID());
        // Get the splits
        List<InputSplit> splits = inputFormat.getSplits(context);
        Assert.assertEquals(2, splits.size());
        // Prepare the output writing - putting all output to a single file
        OutputFormat<LongWritable, TValue> outputFormat = createIntermediateOutputFormat();
        TaskAttemptContext outputTaskContext = new TaskAttemptContextImpl(job.getConfiguration(), createAttemptID(1, 2, 1));
        RecordWriter<LongWritable, TValue> writer = outputFormat.getRecordWriter(outputTaskContext);
        for (InputSplit split : splits) {
            // Initialize the input reading
            TaskAttemptContext inputTaskContext = new TaskAttemptContextImpl(job.getConfiguration(), createAttemptID(1, 1, 1));
            RecordReader<LongWritable, TValue> reader = inputFormat.createRecordReader(split, inputTaskContext);
            reader.initialize(split, inputTaskContext);
            // output
            while (reader.nextKeyValue()) {
                writer.write(reader.getCurrentKey(), reader.getCurrentValue());
            }
        }
        writer.close(outputTaskContext);
        // Promote outputs from temporary status
        promoteInputs(intermediateOutputDir);
        // Now we need to create a subsequent job that reads the
        // intermediate outputs
        // The Blank nodes should have been given separate identities so we
        // should not be conflating them, this is the opposite problem to
        // that described in JENA-820
        LOGGER.debug("Intermediate output directory is {}", intermediateOutputDir.getAbsolutePath());
        job = Job.getInstance(config);
        inputFormat = createIntermediateInputFormat();
        job.setInputFormatClass(inputFormat.getClass());
        NLineInputFormat.setNumLinesPerSplit(job, 100);
        FileInputFormat.setInputPaths(job, new Path(intermediateOutputDir.getAbsolutePath()));
        context = new JobContextImpl(job.getConfiguration(), job.getJobID());
        // Get the splits
        splits = inputFormat.getSplits(context);
        Assert.assertEquals(1, splits.size());
        // Expect to end up with a single blank node
        Set<Node> nodes = new HashSet<Node>();
        for (InputSplit split : splits) {
            TaskAttemptContext inputTaskContext = new TaskAttemptContextImpl(job.getConfiguration(), new TaskAttemptID());
            RecordReader<LongWritable, TValue> reader = inputFormat.createRecordReader(split, inputTaskContext);
            reader.initialize(split, inputTaskContext);
            while (reader.nextKeyValue()) {
                nodes.add(getSubject(reader.getCurrentValue().get()));
            }
        }
        // Nodes must not have converged
        Assert.assertEquals(2, nodes.size());
    } finally {
        a.delete();
        b.delete();
        deleteDirectory(intermediateOutputDir);
    }
}

Example 18 with TaskAttemptContextImpl

use of org.apache.hadoop.mapreduce.task.TaskAttemptContextImpl in project jena by apache.

the class AbstractNodeTupleOutputFormatTests method testOutput.

/**
     * Tests output
     * 
     * @param f
     *            File to output to
     * @param num
     *            Number of tuples to output
     * @throws IOException
     * @throws InterruptedException
     */
protected final void testOutput(File f, int num) throws IOException, InterruptedException {
    // Prepare configuration
    Configuration config = this.prepareConfiguration();
    // Set up fake job
    OutputFormat<NullWritable, T> outputFormat = this.getOutputFormat();
    Job job = Job.getInstance(config);
    job.setOutputFormatClass(outputFormat.getClass());
    this.addOutputPath(f, job.getConfiguration(), job);
    JobContext context = new JobContextImpl(job.getConfiguration(), job.getJobID());
    Assert.assertNotNull(FileOutputFormat.getOutputPath(context));
    // Output the data
    TaskAttemptID id = new TaskAttemptID("outputTest", 1, TaskType.MAP, 1, 1);
    TaskAttemptContext taskContext = new TaskAttemptContextImpl(job.getConfiguration(), id);
    RecordWriter<NullWritable, T> writer = outputFormat.getRecordWriter(taskContext);
    Iterator<T> tuples = this.generateTuples(num);
    while (tuples.hasNext()) {
        writer.write(NullWritable.get(), tuples.next());
    }
    writer.close(taskContext);
    // Check output
    File outputFile = this.findOutputFile(this.folder.getRoot(), context);
    Assert.assertNotNull(outputFile);
    this.checkTuples(outputFile, num);
}

Example 19 with TaskAttemptContextImpl

use of org.apache.hadoop.mapreduce.task.TaskAttemptContextImpl in project jena by apache.

the class AbstractNodeTupleInputFormatTests method testSingleInput.

/**
     * Runs a test with a single input
     * 
     * @param config
     *            Configuration
     * @param input
     *            Input
     * @param expectedTuples
     *            Expected tuples
     * @throws IOException
     * @throws InterruptedException
     */
protected final void testSingleInput(Configuration config, File input, int expectedSplits, int expectedTuples) throws IOException, InterruptedException {
    // Set up fake job
    InputFormat<LongWritable, T> inputFormat = this.getInputFormat();
    Job job = Job.getInstance(config);
    job.setInputFormatClass(inputFormat.getClass());
    this.addInputPath(input, job.getConfiguration(), job);
    JobContext context = new JobContextImpl(job.getConfiguration(), job.getJobID());
    Assert.assertEquals(1, FileInputFormat.getInputPaths(context).length);
    NLineInputFormat.setNumLinesPerSplit(job, LARGE_SIZE);
    // Check splits
    List<InputSplit> splits = inputFormat.getSplits(context);
    Assert.assertEquals(expectedSplits, splits.size());
    // Check tuples
    for (InputSplit split : splits) {
        TaskAttemptContext taskContext = new TaskAttemptContextImpl(job.getConfiguration(), new TaskAttemptID());
        RecordReader<LongWritable, T> reader = inputFormat.createRecordReader(split, taskContext);
        reader.initialize(split, taskContext);
        this.checkTuples(reader, expectedTuples);
    }
}

Example 20 with TaskAttemptContextImpl

use of org.apache.hadoop.mapreduce.task.TaskAttemptContextImpl in project cdap by caskdata.

the class StreamInputFormatTest method testStreamRecordReader.

@Test
public void testStreamRecordReader() throws Exception {
    File inputDir = tmpFolder.newFolder();
    File partition = new File(inputDir, "1.1000");
    partition.mkdirs();
    File eventFile = new File(partition, "bucket.1.0." + StreamFileType.EVENT.getSuffix());
    File indexFile = new File(partition, "bucket.1.0." + StreamFileType.INDEX.getSuffix());
    // write 1 event
    StreamDataFileWriter writer = new StreamDataFileWriter(Files.newOutputStreamSupplier(eventFile), Files.newOutputStreamSupplier(indexFile), 100L);
    writer.append(StreamFileTestUtils.createEvent(1000, "test"));
    writer.flush();
    // get splits from the input format. Expect to get 2 splits,
    // one from 0 - some offset and one from offset - Long.MAX_VALUE.
    Configuration conf = new Configuration();
    TaskAttemptContext context = new TaskAttemptContextImpl(conf, new TaskAttemptID());
    AbstractStreamInputFormat.setStreamId(conf, DUMMY_ID);
    AbstractStreamInputFormat.setStreamPath(conf, inputDir.toURI());
    AbstractStreamInputFormat format = new AbstractStreamInputFormat() {

        @Override
        public AuthorizationEnforcer getAuthorizationEnforcer(TaskAttemptContext context) {
            return new NoOpAuthorizer();
        }

        @Override
        public AuthenticationContext getAuthenticationContext(TaskAttemptContext context) {
            return new AuthenticationTestContext();
        }
    };
    List<InputSplit> splits = format.getSplits(new JobContextImpl(new JobConf(conf), new JobID()));
    Assert.assertEquals(2, splits.size());
    // write another event so that the 2nd split has something to read
    writer.append(StreamFileTestUtils.createEvent(1001, "test"));
    writer.close();
    // create a record reader for the 2nd split
    StreamRecordReader<LongWritable, StreamEvent> recordReader = new StreamRecordReader<>(new IdentityStreamEventDecoder(), new NoOpAuthorizer(), new AuthenticationTestContext(), DUMMY_ID);
    recordReader.initialize(splits.get(1), context);
    // check that we read the 2nd stream event
    Assert.assertTrue(recordReader.nextKeyValue());
    StreamEvent output = recordReader.getCurrentValue();
    Assert.assertEquals(1001, output.getTimestamp());
    Assert.assertEquals("test", Bytes.toString(output.getBody()));
    // check that there is nothing more to read
    Assert.assertFalse(recordReader.nextKeyValue());
}