Examples with DataFetcher com.linkedin.pinot.core.common.DataFetcher used on opensource projects

Example 1 with DataFetcher

use of com.linkedin.pinot.core.common.DataFetcher in project pinot by linkedin.

the class HllIndexCreationTest method testColumnStatsWithStarTree.

@Test
public void testColumnStatsWithStarTree() throws Exception {
    SegmentWithHllIndexCreateHelper helper = null;
    boolean hasException = false;
    int maxDocLength = 10000;
    try {
        LOGGER.debug("================ With StarTree ================");
        helper = new SegmentWithHllIndexCreateHelper("withStarTree", getClass().getClassLoader().getResource(AVRO_DATA), timeColumnName, timeUnit, "starTreeSegment");
        SegmentIndexCreationDriver driver = helper.build(true, hllConfig);
        LOGGER.debug("================ Cardinality ================");
        for (String name : helper.getSchema().getColumnNames()) {
            LOGGER.debug("* " + name + ": " + driver.getColumnStatisticsCollector(name).getCardinality());
        }
        LOGGER.debug("Loading ...");
        IndexSegment indexSegment = Loaders.IndexSegment.load(helper.getSegmentDirectory(), ReadMode.mmap);
        int[] docIdSet = new int[maxDocLength];
        for (int i = 0; i < maxDocLength; i++) {
            docIdSet[i] = i;
        }
        Map<String, BaseOperator> dataSourceMap = new HashMap<>();
        for (String column : indexSegment.getColumnNames()) {
            dataSourceMap.put(column, indexSegment.getDataSource(column));
        }
        DataBlockCache blockCache = new DataBlockCache(new DataFetcher(dataSourceMap));
        blockCache.initNewBlock(docIdSet, 0, maxDocLength);
        String[] strings = blockCache.getStringValueArrayForColumn("column1_hll");
        Assert.assertEquals(strings.length, maxDocLength);
        double[] ints = blockCache.getDoubleValueArrayForColumn("column1");
        Assert.assertEquals(ints.length, maxDocLength);
    } catch (Exception e) {
        hasException = true;
        LOGGER.error(e.getMessage());
    } finally {
        if (helper != null) {
            helper.cleanTempDir();
        }
        Assert.assertEquals(hasException, false);
    }
}

Example 2 with DataFetcher

use of com.linkedin.pinot.core.common.DataFetcher 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>());
}