Examples with GenericRow com.linkedin.pinot.core.data.GenericRow used on opensource projects

Example 21 with GenericRow

use of com.linkedin.pinot.core.data.GenericRow in project pinot by linkedin.

the class DefaultGroupKeyGeneratorTest method setup.

@BeforeClass
private void setup() throws Exception {
    GenericRow[] segmentData = new GenericRow[NUM_ROWS];
    int value = _random.nextInt(MAX_STEP_LENGTH);
    // Generate random values for the segment.
    for (int i = 0; i < UNIQUE_ROWS; i++) {
        Map<String, Object> map = new HashMap<>();
        for (String singleValueColumn : SINGLE_VALUE_COLUMNS) {
            map.put(singleValueColumn, value);
            value += 1 + _random.nextInt(MAX_STEP_LENGTH);
        }
        for (String multiValueColumn : MULTI_VALUE_COLUMNS) {
            int numMultiValues = 1 + _random.nextInt(MAX_NUM_MULTI_VALUES);
            Integer[] values = new Integer[numMultiValues];
            for (int k = 0; k < numMultiValues; k++) {
                values[k] = value;
                value += 1 + _random.nextInt(MAX_STEP_LENGTH);
            }
            map.put(multiValueColumn, values);
        }
        GenericRow genericRow = new GenericRow();
        genericRow.init(map);
        segmentData[i] = genericRow;
    }
    for (int i = UNIQUE_ROWS; i < NUM_ROWS; i += UNIQUE_ROWS) {
        System.arraycopy(segmentData, 0, segmentData, i, UNIQUE_ROWS);
    }
    // Create an index segment with the random values.
    Schema schema = new Schema();
    for (String singleValueColumn : SINGLE_VALUE_COLUMNS) {
        DimensionFieldSpec dimensionFieldSpec = new DimensionFieldSpec(singleValueColumn, FieldSpec.DataType.INT, true);
        schema.addField(dimensionFieldSpec);
    }
    for (String multiValueColumn : MULTI_VALUE_COLUMNS) {
        DimensionFieldSpec dimensionFieldSpec = new DimensionFieldSpec(multiValueColumn, FieldSpec.DataType.INT, false);
        schema.addField(dimensionFieldSpec);
    }
    SegmentGeneratorConfig config = new SegmentGeneratorConfig(schema);
    FileUtils.deleteQuietly(new File(INDEX_DIR_PATH));
    config.setOutDir(INDEX_DIR_PATH);
    config.setSegmentName(SEGMENT_NAME);
    SegmentIndexCreationDriverImpl driver = new SegmentIndexCreationDriverImpl();
    driver.init(config, new TestDataRecordReader(schema, segmentData));
    driver.build();
    IndexSegment indexSegment = Loaders.IndexSegment.load(new File(INDEX_DIR_PATH, SEGMENT_NAME), ReadMode.heap);
    // Get a data fetcher for the index segment.
    Map<String, BaseOperator> dataSourceMap = new HashMap<>();
    Map<String, Block> blockMap = new HashMap<>();
    for (String column : indexSegment.getColumnNames()) {
        DataSource dataSource = indexSegment.getDataSource(column);
        dataSourceMap.put(column, dataSource);
        blockMap.put(column, dataSource.getNextBlock());
    }
    // Generate a random test doc id set.
    int num1 = _random.nextInt(50);
    int num2 = num1 + 1 + _random.nextInt(50);
    for (int i = 0; i < 20; i += 2) {
        _testDocIdSet[i] = num1 + 50 * i;
        _testDocIdSet[i + 1] = num2 + 50 * i;
    }
    DataFetcher dataFetcher = new DataFetcher(dataSourceMap);
    DocIdSetBlock docIdSetBlock = new DocIdSetBlock(_testDocIdSet, _testDocIdSet.length);
    ProjectionBlock projectionBlock = new ProjectionBlock(blockMap, new DataBlockCache(dataFetcher), docIdSetBlock);
    _transformBlock = new TransformBlock(projectionBlock, new HashMap<String, BlockValSet>());
}

Example 22 with GenericRow

use of com.linkedin.pinot.core.data.GenericRow in project pinot by linkedin.

the class PinotSegmentToAvroConverter method convert.

@Override
public void convert() throws Exception {
    PinotSegmentRecordReader recordReader = new PinotSegmentRecordReader(new File(_segmentDir));
    try {
        recordReader.init();
        Schema avroSchema = buildAvroSchemaFromPinotSchema(recordReader.getSchema());
        try (DataFileWriter<Record> recordWriter = new DataFileWriter<>(new GenericDatumWriter<Record>(avroSchema))) {
            recordWriter.create(avroSchema, new File(_outputFile));
            while (recordReader.hasNext()) {
                GenericRow row = recordReader.next();
                Record record = new Record(avroSchema);
                for (String field : row.getFieldNames()) {
                    Object value = row.getValue(field);
                    if (value instanceof Object[]) {
                        record.put(field, Arrays.asList((Object[]) value));
                    } else {
                        record.put(field, value);
                    }
                }
                recordWriter.append(record);
            }
        }
    } finally {
        recordReader.close();
    }
}

Example 23 with GenericRow

use of com.linkedin.pinot.core.data.GenericRow in project pinot by linkedin.

the class RawIndexCreatorTest method testFixedLengthRawIndexCreator.

/**
   * Helper method to perform actual tests for a given column.
   *
   * @param column Column for which to perform the test
   * @param dataType Data type of the column
   * @throws Exception
   */
private void testFixedLengthRawIndexCreator(String column, FieldSpec.DataType dataType) throws Exception {
    PinotDataBuffer indexBuffer = getIndexBufferForColumn(column);
    FixedByteChunkSingleValueReader rawIndexReader = new FixedByteChunkSingleValueReader(indexBuffer, ChunkCompressorFactory.getDecompressor("snappy"));
    _recordReader.rewind();
    for (int row = 0; row < NUM_ROWS; row++) {
        GenericRow expectedRow = _recordReader.next();
        Object expected = expectedRow.getValue(column);
        Object actual;
        actual = readValueFromIndex(rawIndexReader, dataType, row);
        Assert.assertEquals(actual, expected);
    }
}

Example 24 with GenericRow

use of com.linkedin.pinot.core.data.GenericRow in project pinot by linkedin.

the class RawIndexCreatorTest method testStringRawIndexCreator.

/**
   * Test for string raw index creator.
   * Compares values read from the raw index against expected value.
   * @throws Exception
   */
@Test
public void testStringRawIndexCreator() throws Exception {
    PinotDataBuffer indexBuffer = getIndexBufferForColumn(STRING_COLUMN);
    ChunkDecompressor uncompressor = ChunkCompressorFactory.getDecompressor("snappy");
    VarByteChunkSingleValueReader rawIndexReader = new VarByteChunkSingleValueReader(indexBuffer, uncompressor);
    _recordReader.rewind();
    ChunkReaderContext context = rawIndexReader.createContext();
    for (int row = 0; row < NUM_ROWS; row++) {
        GenericRow expectedRow = _recordReader.next();
        Object expected = expectedRow.getValue(STRING_COLUMN);
        Object actual = rawIndexReader.getString(row, context);
        Assert.assertEquals(actual, expected);
    }
}

Example 25 with GenericRow

use of com.linkedin.pinot.core.data.GenericRow in project pinot by linkedin.

the class RawIndexCreatorTest method buildIndex.

/**
   * Helper method to build a segment containing a single valued string column with RAW (no-dictionary) index.
   *
   * @return Array of string values for the rows in the generated index.
   * @throws Exception
   */
private RecordReader buildIndex(Schema schema) throws Exception {
    SegmentGeneratorConfig config = new SegmentGeneratorConfig(schema);
    config.setRawIndexCreationColumns(schema.getDimensionNames());
    config.setOutDir(SEGMENT_DIR_NAME);
    config.setSegmentName(SEGMENT_NAME);
    final List<GenericRow> rows = new ArrayList<>();
    for (int row = 0; row < NUM_ROWS; row++) {
        HashMap<String, Object> map = new HashMap<>();
        for (FieldSpec fieldSpec : schema.getAllFieldSpecs()) {
            Object value;
            FieldSpec.DataType dataType = fieldSpec.getDataType();
            value = getRandomValue(dataType);
            map.put(fieldSpec.getName(), value);
        }
        GenericRow genericRow = new GenericRow();
        genericRow.init(map);
        rows.add(genericRow);
    }
    SegmentIndexCreationDriverImpl driver = new SegmentIndexCreationDriverImpl();
    RecordReader reader = new TestRecordReader(rows, schema);
    driver.init(config, reader);
    driver.build();
    _segmentDirectory = SegmentDirectory.createFromLocalFS(driver.getOutputDirectory(), ReadMode.mmap);
    _segmentReader = _segmentDirectory.createReader();
    reader.rewind();
    return reader;
}