Examples with IntWritable org.apache.hadoop.io.IntWritable used on opensource projects

Example 1 with IntWritable

use of org.apache.hadoop.io.IntWritable in project hive by apache.

the class VerifyFast method verifyDeserializeRead.

public static void verifyDeserializeRead(DeserializeRead deserializeRead, PrimitiveTypeInfo primitiveTypeInfo, Writable writable) throws IOException {
    boolean isNull;
    isNull = !deserializeRead.readNextField();
    if (isNull) {
        if (writable != null) {
            TestCase.fail("Field reports null but object is not null (class " + writable.getClass().getName() + ", " + writable.toString() + ")");
        }
        return;
    } else if (writable == null) {
        TestCase.fail("Field report not null but object is null");
    }
    switch(primitiveTypeInfo.getPrimitiveCategory()) {
        case BOOLEAN:
            {
                boolean value = deserializeRead.currentBoolean;
                if (!(writable instanceof BooleanWritable)) {
                    TestCase.fail("Boolean expected writable not Boolean");
                }
                boolean expected = ((BooleanWritable) writable).get();
                if (value != expected) {
                    TestCase.fail("Boolean field mismatch (expected " + expected + " found " + value + ")");
                }
            }
            break;
        case BYTE:
            {
                byte value = deserializeRead.currentByte;
                if (!(writable instanceof ByteWritable)) {
                    TestCase.fail("Byte expected writable not Byte");
                }
                byte expected = ((ByteWritable) writable).get();
                if (value != expected) {
                    TestCase.fail("Byte field mismatch (expected " + (int) expected + " found " + (int) value + ")");
                }
            }
            break;
        case SHORT:
            {
                short value = deserializeRead.currentShort;
                if (!(writable instanceof ShortWritable)) {
                    TestCase.fail("Short expected writable not Short");
                }
                short expected = ((ShortWritable) writable).get();
                if (value != expected) {
                    TestCase.fail("Short field mismatch (expected " + expected + " found " + value + ")");
                }
            }
            break;
        case INT:
            {
                int value = deserializeRead.currentInt;
                if (!(writable instanceof IntWritable)) {
                    TestCase.fail("Integer expected writable not Integer");
                }
                int expected = ((IntWritable) writable).get();
                if (value != expected) {
                    TestCase.fail("Int field mismatch (expected " + expected + " found " + value + ")");
                }
            }
            break;
        case LONG:
            {
                long value = deserializeRead.currentLong;
                if (!(writable instanceof LongWritable)) {
                    TestCase.fail("Long expected writable not Long");
                }
                Long expected = ((LongWritable) writable).get();
                if (value != expected) {
                    TestCase.fail("Long field mismatch (expected " + expected + " found " + value + ")");
                }
            }
            break;
        case FLOAT:
            {
                float value = deserializeRead.currentFloat;
                if (!(writable instanceof FloatWritable)) {
                    TestCase.fail("Float expected writable not Float");
                }
                float expected = ((FloatWritable) writable).get();
                if (value != expected) {
                    TestCase.fail("Float field mismatch (expected " + expected + " found " + value + ")");
                }
            }
            break;
        case DOUBLE:
            {
                double value = deserializeRead.currentDouble;
                if (!(writable instanceof DoubleWritable)) {
                    TestCase.fail("Double expected writable not Double");
                }
                double expected = ((DoubleWritable) writable).get();
                if (value != expected) {
                    TestCase.fail("Double field mismatch (expected " + expected + " found " + value + ")");
                }
            }
            break;
        case STRING:
            {
                byte[] stringBytes = Arrays.copyOfRange(deserializeRead.currentBytes, deserializeRead.currentBytesStart, deserializeRead.currentBytesStart + deserializeRead.currentBytesLength);
                Text text = new Text(stringBytes);
                String string = text.toString();
                String expected = ((Text) writable).toString();
                if (!string.equals(expected)) {
                    TestCase.fail("String field mismatch (expected '" + expected + "' found '" + string + "')");
                }
            }
            break;
        case CHAR:
            {
                byte[] stringBytes = Arrays.copyOfRange(deserializeRead.currentBytes, deserializeRead.currentBytesStart, deserializeRead.currentBytesStart + deserializeRead.currentBytesLength);
                Text text = new Text(stringBytes);
                String string = text.toString();
                HiveChar hiveChar = new HiveChar(string, ((CharTypeInfo) primitiveTypeInfo).getLength());
                HiveChar expected = ((HiveCharWritable) writable).getHiveChar();
                if (!hiveChar.equals(expected)) {
                    TestCase.fail("Char field mismatch (expected '" + expected + "' found '" + hiveChar + "')");
                }
            }
            break;
        case VARCHAR:
            {
                byte[] stringBytes = Arrays.copyOfRange(deserializeRead.currentBytes, deserializeRead.currentBytesStart, deserializeRead.currentBytesStart + deserializeRead.currentBytesLength);
                Text text = new Text(stringBytes);
                String string = text.toString();
                HiveVarchar hiveVarchar = new HiveVarchar(string, ((VarcharTypeInfo) primitiveTypeInfo).getLength());
                HiveVarchar expected = ((HiveVarcharWritable) writable).getHiveVarchar();
                if (!hiveVarchar.equals(expected)) {
                    TestCase.fail("Varchar field mismatch (expected '" + expected + "' found '" + hiveVarchar + "')");
                }
            }
            break;
        case DECIMAL:
            {
                HiveDecimal value = deserializeRead.currentHiveDecimalWritable.getHiveDecimal();
                if (value == null) {
                    TestCase.fail("Decimal field evaluated to NULL");
                }
                HiveDecimal expected = ((HiveDecimalWritable) writable).getHiveDecimal();
                if (!value.equals(expected)) {
                    DecimalTypeInfo decimalTypeInfo = (DecimalTypeInfo) primitiveTypeInfo;
                    int precision = decimalTypeInfo.getPrecision();
                    int scale = decimalTypeInfo.getScale();
                    TestCase.fail("Decimal field mismatch (expected " + expected.toString() + " found " + value.toString() + ") precision " + precision + ", scale " + scale);
                }
            }
            break;
        case DATE:
            {
                Date value = deserializeRead.currentDateWritable.get();
                Date expected = ((DateWritable) writable).get();
                if (!value.equals(expected)) {
                    TestCase.fail("Date field mismatch (expected " + expected.toString() + " found " + value.toString() + ")");
                }
            }
            break;
        case TIMESTAMP:
            {
                Timestamp value = deserializeRead.currentTimestampWritable.getTimestamp();
                Timestamp expected = ((TimestampWritable) writable).getTimestamp();
                if (!value.equals(expected)) {
                    TestCase.fail("Timestamp field mismatch (expected " + expected.toString() + " found " + value.toString() + ")");
                }
            }
            break;
        case INTERVAL_YEAR_MONTH:
            {
                HiveIntervalYearMonth value = deserializeRead.currentHiveIntervalYearMonthWritable.getHiveIntervalYearMonth();
                HiveIntervalYearMonth expected = ((HiveIntervalYearMonthWritable) writable).getHiveIntervalYearMonth();
                if (!value.equals(expected)) {
                    TestCase.fail("HiveIntervalYearMonth field mismatch (expected " + expected.toString() + " found " + value.toString() + ")");
                }
            }
            break;
        case INTERVAL_DAY_TIME:
            {
                HiveIntervalDayTime value = deserializeRead.currentHiveIntervalDayTimeWritable.getHiveIntervalDayTime();
                HiveIntervalDayTime expected = ((HiveIntervalDayTimeWritable) writable).getHiveIntervalDayTime();
                if (!value.equals(expected)) {
                    TestCase.fail("HiveIntervalDayTime field mismatch (expected " + expected.toString() + " found " + value.toString() + ")");
                }
            }
            break;
        case BINARY:
            {
                byte[] byteArray = Arrays.copyOfRange(deserializeRead.currentBytes, deserializeRead.currentBytesStart, deserializeRead.currentBytesStart + deserializeRead.currentBytesLength);
                BytesWritable bytesWritable = (BytesWritable) writable;
                byte[] expected = Arrays.copyOfRange(bytesWritable.getBytes(), 0, bytesWritable.getLength());
                if (byteArray.length != expected.length) {
                    TestCase.fail("Byte Array field mismatch (expected " + Arrays.toString(expected) + " found " + Arrays.toString(byteArray) + ")");
                }
                for (int b = 0; b < byteArray.length; b++) {
                    if (byteArray[b] != expected[b]) {
                        TestCase.fail("Byte Array field mismatch (expected " + Arrays.toString(expected) + " found " + Arrays.toString(byteArray) + ")");
                    }
                }
            }
            break;
        default:
            throw new Error("Unknown primitive category " + primitiveTypeInfo.getPrimitiveCategory());
    }
}

Example 2 with IntWritable

use of org.apache.hadoop.io.IntWritable in project crunch by cloudera.

the class TupleWritablePartitionerTest method testGetPartition.

@Test
public void testGetPartition() {
    IntWritable intWritable = new IntWritable(3);
    TupleWritable key = new TupleWritable(new Writable[] { intWritable });
    assertEquals(3, tupleWritableParitioner.getPartition(key, NullWritable.get(), 5));
    assertEquals(1, tupleWritableParitioner.getPartition(key, NullWritable.get(), 2));
}

Example 3 with IntWritable

use of org.apache.hadoop.io.IntWritable in project hadoop-book by elephantscale.

the class Reduce method reduce.

@Override
public void reduce(Text key, Iterator<IntWritable> values, OutputCollector<Text, IntWritable> output, Reporter reporter) throws IOException {
    int sum = 0;
    while (values.hasNext()) {
        sum += values.next().get();
    }
    output.collect(key, new IntWritable(sum));
}

Example 4 with IntWritable

use of org.apache.hadoop.io.IntWritable in project hadoop by apache.

the class TestCombineSequenceFileInputFormat method testFormat.

@Test(timeout = 10000)
public void testFormat() throws IOException, InterruptedException {
    Job job = Job.getInstance(conf);
    Random random = new Random();
    long seed = random.nextLong();
    random.setSeed(seed);
    localFs.delete(workDir, true);
    FileInputFormat.setInputPaths(job, workDir);
    final int length = 10000;
    final int numFiles = 10;
    // create files with a variety of lengths
    createFiles(length, numFiles, random, job);
    TaskAttemptContext context = MapReduceTestUtil.createDummyMapTaskAttemptContext(job.getConfiguration());
    // create a combine split for the files
    InputFormat<IntWritable, BytesWritable> format = new CombineSequenceFileInputFormat<IntWritable, BytesWritable>();
    for (int i = 0; i < 3; i++) {
        int numSplits = random.nextInt(length / (SequenceFile.SYNC_INTERVAL / 20)) + 1;
        LOG.info("splitting: requesting = " + numSplits);
        List<InputSplit> splits = format.getSplits(job);
        LOG.info("splitting: got =        " + splits.size());
        // we should have a single split as the length is comfortably smaller than
        // the block size
        assertEquals("We got more than one splits!", 1, splits.size());
        InputSplit split = splits.get(0);
        assertEquals("It should be CombineFileSplit", CombineFileSplit.class, split.getClass());
        // check the split
        BitSet bits = new BitSet(length);
        RecordReader<IntWritable, BytesWritable> reader = format.createRecordReader(split, context);
        MapContext<IntWritable, BytesWritable, IntWritable, BytesWritable> mcontext = new MapContextImpl<IntWritable, BytesWritable, IntWritable, BytesWritable>(job.getConfiguration(), context.getTaskAttemptID(), reader, null, null, MapReduceTestUtil.createDummyReporter(), split);
        reader.initialize(split, mcontext);
        assertEquals("reader class is CombineFileRecordReader.", CombineFileRecordReader.class, reader.getClass());
        try {
            while (reader.nextKeyValue()) {
                IntWritable key = reader.getCurrentKey();
                BytesWritable value = reader.getCurrentValue();
                assertNotNull("Value should not be null.", value);
                final int k = key.get();
                LOG.debug("read " + k);
                assertFalse("Key in multiple partitions.", bits.get(k));
                bits.set(k);
            }
        } finally {
            reader.close();
        }
        assertEquals("Some keys in no partition.", length, bits.cardinality());
    }
}

Example 5 with IntWritable

use of org.apache.hadoop.io.IntWritable in project hadoop by apache.

the class TestCombineSequenceFileInputFormat method createFiles.

private static void createFiles(int length, int numFiles, Random random, Job job) throws IOException {
    Range[] ranges = createRanges(length, numFiles, random);
    for (int i = 0; i < numFiles; i++) {
        Path file = new Path(workDir, "test_" + i + ".seq");
        // create a file with length entries
        @SuppressWarnings("deprecation") SequenceFile.Writer writer = SequenceFile.createWriter(localFs, job.getConfiguration(), file, IntWritable.class, BytesWritable.class);
        Range range = ranges[i];
        try {
            for (int j = range.start; j < range.end; j++) {
                IntWritable key = new IntWritable(j);
                byte[] data = new byte[random.nextInt(10)];
                random.nextBytes(data);
                BytesWritable value = new BytesWritable(data);
                writer.append(key, value);
            }
        } finally {
            writer.close();
        }
    }
}