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Example 1 with SequenceFileInputFormat

use of org.apache.hadoop.mapreduce.lib.input.SequenceFileInputFormat in project hadoop by apache.

the class TestMRSequenceFileAsBinaryOutputFormat method testBinary.

@Test
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);
}
Also used : Path(org.apache.hadoop.fs.Path) OutputCommitter(org.apache.hadoop.mapreduce.OutputCommitter) Configuration(org.apache.hadoop.conf.Configuration) MapContextImpl(org.apache.hadoop.mapreduce.task.MapContextImpl) SequenceFileInputFormat(org.apache.hadoop.mapreduce.lib.input.SequenceFileInputFormat) BytesWritable(org.apache.hadoop.io.BytesWritable) TaskAttemptContext(org.apache.hadoop.mapreduce.TaskAttemptContext) DoubleWritable(org.apache.hadoop.io.DoubleWritable) Random(java.util.Random) DataOutputBuffer(org.apache.hadoop.io.DataOutputBuffer) Job(org.apache.hadoop.mapreduce.Job) InputSplit(org.apache.hadoop.mapreduce.InputSplit) IntWritable(org.apache.hadoop.io.IntWritable) Test(org.junit.Test)

Aggregations

Random (java.util.Random)1 Configuration (org.apache.hadoop.conf.Configuration)1 Path (org.apache.hadoop.fs.Path)1 BytesWritable (org.apache.hadoop.io.BytesWritable)1 DataOutputBuffer (org.apache.hadoop.io.DataOutputBuffer)1 DoubleWritable (org.apache.hadoop.io.DoubleWritable)1 IntWritable (org.apache.hadoop.io.IntWritable)1 InputSplit (org.apache.hadoop.mapreduce.InputSplit)1 Job (org.apache.hadoop.mapreduce.Job)1 OutputCommitter (org.apache.hadoop.mapreduce.OutputCommitter)1 TaskAttemptContext (org.apache.hadoop.mapreduce.TaskAttemptContext)1 SequenceFileInputFormat (org.apache.hadoop.mapreduce.lib.input.SequenceFileInputFormat)1 MapContextImpl (org.apache.hadoop.mapreduce.task.MapContextImpl)1 Test (org.junit.Test)1