Examples with TaskAttemptID org.apache.hadoop.mapreduce.TaskAttemptID used on opensource projects

Example 76 with TaskAttemptID

use of org.apache.hadoop.mapreduce.TaskAttemptID in project jena by apache.

the class AbstractBlankNodeTests method blank_node_divergence_01.

/**
     * Test that starts with two blank nodes with the same identity in a single
     * file, splits them over two files and checks that we can workaround
     * JENA-820 successfully by setting the
     * {@link RdfIOConstants#GLOBAL_BNODE_IDENTITY} flag for our subsequent job
     * 
     * @throws IOException
     * @throws InterruptedException
     */
@Test
public final void blank_node_divergence_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_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
        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()));
        // Enabling this flag works around the JENA-820 issue
        job.getConfiguration().setBoolean(RdfIOConstants.GLOBAL_BNODE_IDENTITY, true);
        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 not have diverged
        Assert.assertEquals(1, nodes.size());
    } finally {
        a.delete();
        deleteDirectory(intermediateOutputDir);
    }
}

Example 77 with TaskAttemptID

use of org.apache.hadoop.mapreduce.TaskAttemptID in project jena by apache.

the class AbstractNodeTupleInputFormatTests method testSplitInputs.

protected final void testSplitInputs(Configuration config, File[] inputs, 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());
    for (File input : inputs) {
        this.addInputPath(input, job.getConfiguration(), job);
    }
    JobContext context = new JobContextImpl(job.getConfiguration(), job.getJobID());
    Assert.assertEquals(inputs.length, FileInputFormat.getInputPaths(context).length);
    // Check splits
    List<InputSplit> splits = inputFormat.getSplits(context);
    Assert.assertEquals(expectedSplits, splits.size());
    // Check tuples
    int count = 0;
    for (InputSplit split : splits) {
        // Validate split
        Assert.assertTrue(this.isValidSplit(split, config));
        // Read split
        TaskAttemptContext taskContext = new TaskAttemptContextImpl(job.getConfiguration(), new TaskAttemptID());
        RecordReader<LongWritable, T> reader = inputFormat.createRecordReader(split, taskContext);
        reader.initialize(split, taskContext);
        count += this.countTuples(reader);
    }
    Assert.assertEquals(expectedTuples, count);
}

Example 78 with TaskAttemptID

use of org.apache.hadoop.mapreduce.TaskAttemptID in project jena by apache.

the class AbstractNodeTupleInputFormatTests method testMultipleInputs.

/**
     * Runs a multiple input test
     * 
     * @param inputs
     *            Inputs
     * @param expectedSplits
     *            Number of splits expected
     * @param expectedTuples
     *            Number of tuples expected
     * @throws IOException
     * @throws InterruptedException
     */
protected final void testMultipleInputs(File[] inputs, int expectedSplits, int expectedTuples) throws IOException, InterruptedException {
    // Prepare configuration and inputs
    Configuration config = this.prepareConfiguration();
    // Set up fake job
    InputFormat<LongWritable, T> inputFormat = this.getInputFormat();
    Job job = Job.getInstance(config);
    job.setInputFormatClass(inputFormat.getClass());
    for (File input : inputs) {
        this.addInputPath(input, job.getConfiguration(), job);
    }
    JobContext context = new JobContextImpl(job.getConfiguration(), job.getJobID());
    Assert.assertEquals(inputs.length, FileInputFormat.getInputPaths(context).length);
    NLineInputFormat.setNumLinesPerSplit(job, expectedTuples);
    // Check splits
    List<InputSplit> splits = inputFormat.getSplits(context);
    Assert.assertEquals(expectedSplits, splits.size());
    // Check tuples
    int count = 0;
    for (InputSplit split : splits) {
        TaskAttemptContext taskContext = new TaskAttemptContextImpl(job.getConfiguration(), new TaskAttemptID());
        RecordReader<LongWritable, T> reader = inputFormat.createRecordReader(split, taskContext);
        reader.initialize(split, taskContext);
        count += this.countTuples(reader);
    }
    Assert.assertEquals(expectedTuples, count);
}