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

Example 36 with NullWritable

use of org.apache.hadoop.io.NullWritable in project camel by apache.

the class HdfsConsumerTest method testReadBoolean.

@Test
public void testReadBoolean() throws Exception {
    if (!canTest()) {
        return;
    }
    final Path file = new Path(new File("target/test/test-camel-boolean").getAbsolutePath());
    Configuration conf = new Configuration();
    SequenceFile.Writer writer = createWriter(conf, file, NullWritable.class, BooleanWritable.class);
    NullWritable keyWritable = NullWritable.get();
    BooleanWritable valueWritable = new BooleanWritable();
    valueWritable.set(true);
    writer.append(keyWritable, valueWritable);
    writer.sync();
    writer.close();
    context.addRoutes(new RouteBuilder() {

        public void configure() {
            from("hdfs2:localhost/" + file.toUri() + "?fileSystemType=LOCAL&fileType=SEQUENCE_FILE&initialDelay=0").to("mock:result");
        }
    });
    context.start();
    MockEndpoint resultEndpoint = context.getEndpoint("mock:result", MockEndpoint.class);
    resultEndpoint.expectedMessageCount(1);
    resultEndpoint.assertIsSatisfied();
}

Example 37 with NullWritable

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

the class TestInputOutputFormat method testVectorizationWithBuckets.

/**
 * Test vectorization, non-acid, non-combine.
 * @throws Exception
 */
@Test
public void testVectorizationWithBuckets() throws Exception {
    // get the object inspector for MyRow
    StructObjectInspector inspector;
    synchronized (TestOrcFile.class) {
        inspector = (StructObjectInspector) ObjectInspectorFactory.getReflectionObjectInspector(MyRow.class, ObjectInspectorFactory.ObjectInspectorOptions.JAVA);
    }
    JobConf conf = createMockExecutionEnvironment(workDir, new Path("mock:///"), "vectorBuckets", inspector, true, 1);
    // write the orc file to the mock file system
    Path path = new Path(conf.get("mapred.input.dir") + "/0_0");
    Writer writer = OrcFile.createWriter(path, OrcFile.writerOptions(conf).blockPadding(false).bufferSize(1024).inspector(inspector));
    for (int i = 0; i < 10; ++i) {
        writer.addRow(new MyRow(i, 2 * i));
    }
    writer.close();
    setBlocks(path, conf, new MockBlock("host0", "host1"));
    // call getsplits
    conf.setInt(hive_metastoreConstants.BUCKET_COUNT, 3);
    HiveInputFormat<?, ?> inputFormat = new HiveInputFormat<WritableComparable, Writable>();
    InputSplit[] splits = inputFormat.getSplits(conf, 10);
    assertEquals(1, splits.length);
    org.apache.hadoop.mapred.RecordReader<NullWritable, VectorizedRowBatch> reader = inputFormat.getRecordReader(splits[0], conf, Reporter.NULL);
    NullWritable key = reader.createKey();
    VectorizedRowBatch value = reader.createValue();
    assertEquals(true, reader.next(key, value));
    assertEquals(10, value.count());
    LongColumnVector col0 = (LongColumnVector) value.cols[0];
    for (int i = 0; i < 10; i++) {
        assertEquals("checking " + i, i, col0.vector[i]);
    }
    assertEquals(false, reader.next(key, value));
}

Example 38 with NullWritable

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

the class TestOrcRawRecordMerger method testRecordReaderNewBaseAndDelta.

/**
 * Test the RecordReader when there is a new base and a delta.
 * This test creates multiple stripes in both base and delta files which affects how many splits
 * are created on read.  With ORC-228 this could be done in E2E fashion with a query or
 * streaming ingest writing data.
 * @see #testRecordReaderOldBaseAndDelta()
 * @throws Exception
 */
@Test
public void testRecordReaderNewBaseAndDelta() throws Exception {
    final int BUCKET = 11;
    Configuration conf = new Configuration();
    OrcOutputFormat of = new OrcOutputFormat();
    FileSystem fs = FileSystem.getLocal(conf);
    Path root = new Path(tmpDir, "testRecordReaderNewBaseAndDelta").makeQualified(fs);
    fs.delete(root, true);
    ObjectInspector inspector;
    synchronized (TestOrcFile.class) {
        inspector = ObjectInspectorFactory.getReflectionObjectInspector(BigRow.class, ObjectInspectorFactory.ObjectInspectorOptions.JAVA);
    }
    // write the base
    MemoryManager mgr = new MemoryManagerImpl(conf) {

        int rowsAddedSinceCheck = 0;

        @Override
        public synchronized void addedRow(int rows) throws IOException {
            rowsAddedSinceCheck += rows;
            if (rowsAddedSinceCheck >= 2) {
                notifyWriters();
                rowsAddedSinceCheck = 0;
            }
        }
    };
    // make 5 stripes with 2 rows each
    OrcRecordUpdater.OrcOptions options = (OrcRecordUpdater.OrcOptions) new OrcRecordUpdater.OrcOptions(conf).writingBase(true).minimumWriteId(0).maximumWriteId(0).bucket(BUCKET).inspector(inspector).filesystem(fs);
    final int BUCKET_PROPERTY = BucketCodec.V1.encode(options);
    options.orcOptions(OrcFile.writerOptions(conf).stripeSize(1).blockPadding(false).compress(CompressionKind.NONE).memory(mgr).batchSize(2));
    options.finalDestination(root);
    RecordUpdater ru = of.getRecordUpdater(root, options);
    String[] values = new String[] { "ignore.1", "0.1", "ignore.2", "ignore.3", "2.0", "2.1", "3.0", "ignore.4", "ignore.5", "ignore.6" };
    for (int i = 0; i < values.length; ++i) {
        ru.insert(0, new BigRow(i, i, values[i], i, i));
    }
    ru.close(false);
    // write a delta
    options.writingBase(false).minimumWriteId(1).maximumWriteId(1).recordIdColumn(5);
    ru = of.getRecordUpdater(root, options);
    values = new String[] { "0.0", null, null, "1.1", null, null, null, "ignore.7" };
    for (int i = 0; i < values.length; ++i) {
        if (values[i] != null) {
            ru.update(1, new BigRow(i, i, values[i], i, i, i, 0, BUCKET_PROPERTY));
        }
    }
    ru.delete(1, new BigRow(9, 0, BUCKET_PROPERTY));
    ru.close(false);
    // write a delta
    options.minimumWriteId(100).maximumWriteId(100);
    ru = of.getRecordUpdater(root, options);
    values = new String[] { null, null, "1.0", null, null, null, null, "3.1" };
    for (int i = 0; i < values.length - 1; ++i) {
        if (values[i] != null) {
            ru.update(100, new BigRow(i, i, values[i], i, i, i, 0, BUCKET_PROPERTY));
        }
    }
    // do this before next update so that delte_delta is properly sorted
    ru.delete(100, new BigRow(8, 0, BUCKET_PROPERTY));
    // because row 8 was updated and thus has a different RecordIdentifier now
    ru.update(100, new BigRow(7, 7, values[values.length - 1], 7, 7, 2, 1, BUCKET_PROPERTY));
    ru.close(false);
    MyResult[] expected = new MyResult[10];
    int k = 0;
    expected[k++] = new MyResult(0, "0.0");
    expected[k++] = new MyResult(1, "0.1");
    expected[k++] = new MyResult(2, "1.0");
    expected[k++] = new MyResult(3, "1.1");
    expected[k++] = new MyResult(4, "2.0");
    expected[k++] = new MyResult(5, "2.1");
    expected[k++] = new MyResult(6, "3.0");
    expected[k] = new MyResult(7, "3.1");
    InputFormat inf = new OrcInputFormat();
    JobConf job = new JobConf();
    job.set("mapred.min.split.size", "1");
    job.set("mapred.max.split.size", "2");
    job.set("mapred.input.dir", root.toString());
    job.set(IOConstants.SCHEMA_EVOLUTION_COLUMNS, BigRow.getColumnNamesProperty());
    job.set(IOConstants.SCHEMA_EVOLUTION_COLUMNS_TYPES, BigRow.getColumnTypesProperty());
    AcidUtils.setAcidOperationalProperties(job, true, null);
    job.setBoolean(hive_metastoreConstants.TABLE_IS_TRANSACTIONAL, true);
    InputSplit[] splits = inf.getSplits(job, 5);
    // base has 10 rows, so 5 splits, 1 delta has 2 rows so 1 split, and 1 delta has 3 so 2 splits
    assertEquals(8, splits.length);
    org.apache.hadoop.mapred.RecordReader<NullWritable, OrcStruct> rr;
    for (InputSplit split : splits) {
        rr = inf.getRecordReader(split, job, Reporter.NULL);
        NullWritable key = rr.createKey();
        OrcStruct value = rr.createValue();
        while (rr.next(key, value)) {
            MyResult mr = new MyResult(Integer.parseInt(value.getFieldValue(0).toString()), value.getFieldValue(2).toString());
            int i = 0;
            for (; i < expected.length; i++) {
                if (mr.equals(expected[i])) {
                    expected[i] = null;
                    break;
                }
            }
            if (i >= expected.length) {
                // not found
                assertTrue("Found unexpected row: " + mr, false);
            }
        }
    }
    for (MyResult mr : expected) {
        assertTrue("Expected " + mr + " not found in any InputSplit", mr == null);
    }
}

Example 39 with NullWritable

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

the class TestOrcRawRecordMerger method testRecordReaderIncompleteDelta.

/**
 * @param use130Format true means use delta_0001_0001_0000 format, else delta_0001_00001
 */
private void testRecordReaderIncompleteDelta(boolean use130Format) throws Exception {
    final int BUCKET = 1;
    Configuration conf = new Configuration();
    OrcOutputFormat of = new OrcOutputFormat();
    FileSystem fs = FileSystem.getLocal(conf).getRaw();
    Path root = new Path(tmpDir, "testRecordReaderIncompleteDelta").makeQualified(fs);
    fs.delete(root, true);
    ObjectInspector inspector;
    synchronized (TestOrcFile.class) {
        inspector = ObjectInspectorFactory.getReflectionObjectInspector(MyRow.class, ObjectInspectorFactory.ObjectInspectorOptions.JAVA);
    }
    // write a base
    AcidOutputFormat.Options options = new AcidOutputFormat.Options(conf).writingBase(true).minimumWriteId(0).maximumWriteId(0).bucket(BUCKET).inspector(inspector).filesystem(fs).finalDestination(root);
    if (!use130Format) {
        options.statementId(-1);
    }
    RecordUpdater ru = of.getRecordUpdater(root, options);
    String[] values = new String[] { "1", "2", "3", "4", "5" };
    for (int i = 0; i < values.length; ++i) {
        ru.insert(0, new MyRow(values[i]));
    }
    ru.close(false);
    // write a delta
    options.writingBase(false).minimumWriteId(10).maximumWriteId(19);
    ru = of.getRecordUpdater(root, options);
    values = new String[] { "6", "7", "8" };
    for (int i = 0; i < values.length; ++i) {
        ru.insert(1, new MyRow(values[i]));
    }
    InputFormat inf = new OrcInputFormat();
    JobConf job = new JobConf();
    job.set("mapred.input.dir", root.toString());
    job.set("bucket_count", "2");
    job.set(IOConstants.SCHEMA_EVOLUTION_COLUMNS, MyRow.getColumnNamesProperty());
    job.set(IOConstants.SCHEMA_EVOLUTION_COLUMNS_TYPES, MyRow.getColumnTypesProperty());
    AcidUtils.setAcidOperationalProperties(job, true, null);
    job.setBoolean(hive_metastoreConstants.TABLE_IS_TRANSACTIONAL, true);
    // read the keys before the delta is flushed
    InputSplit[] splits = inf.getSplits(job, 1);
    // 1 split since we only have 1 bucket file in base/.  delta is not flushed (committed) yet, i.e. empty
    assertEquals(1, splits.length);
    org.apache.hadoop.mapred.RecordReader<NullWritable, OrcStruct> rr = inf.getRecordReader(splits[0], job, Reporter.NULL);
    NullWritable key = rr.createKey();
    OrcStruct value = rr.createValue();
    System.out.println("Looking at split " + splits[0]);
    for (int i = 1; i < 6; ++i) {
        System.out.println("Checking row " + i);
        assertEquals(true, rr.next(key, value));
        assertEquals(Integer.toString(i), value.getFieldValue(0).toString());
    }
    assertEquals(false, rr.next(key, value));
    ru.flush();
    ru.flush();
    values = new String[] { "9", "10" };
    for (int i = 0; i < values.length; ++i) {
        ru.insert(3, new MyRow(values[i]));
    }
    ru.flush();
    splits = inf.getSplits(job, 1);
    assertEquals(2, splits.length);
    Path sideFile = new Path(root + "/" + (use130Format ? AcidUtils.deltaSubdir(10, 19, 0) : AcidUtils.deltaSubdir(10, 19)) + "/bucket_00001_flush_length");
    assertEquals(true, fs.exists(sideFile));
    assertEquals(32, fs.getFileStatus(sideFile).getLen());
    rr = inf.getRecordReader(splits[0], job, Reporter.NULL);
    for (int i = 1; i <= 5; ++i) {
        assertEquals(true, rr.next(key, value));
        assertEquals(Integer.toString(i), value.getFieldValue(0).toString());
    }
    assertEquals(false, rr.next(key, value));
    rr = inf.getRecordReader(splits[1], job, Reporter.NULL);
    for (int i = 6; i < 11; ++i) {
        assertEquals("i=" + i, true, rr.next(key, value));
        assertEquals(Integer.toString(i), value.getFieldValue(0).toString());
    }
    assertEquals(false, rr.next(key, value));
}

Example 40 with NullWritable

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

the class AbstractTestParquetDirect method read.

public static List<ArrayWritable> read(Path parquetFile) throws IOException {
    List<ArrayWritable> records = new ArrayList<ArrayWritable>();
    RecordReader<NullWritable, ArrayWritable> reader = new MapredParquetInputFormat().getRecordReader(new FileSplit(parquetFile, 0, fileLength(parquetFile), (String[]) null), new JobConf(), null);
    NullWritable alwaysNull = reader.createKey();
    ArrayWritable record = reader.createValue();
    while (reader.next(alwaysNull, record)) {
        records.add(record);
        // a new value so the last isn't clobbered
        record = reader.createValue();
    }
    return records;
}