Examples with RaptorOrcAggregatedMemoryContext com.facebook.presto.raptor.RaptorOrcAggregatedMemoryContext used on opensource projects

Example 6 with RaptorOrcAggregatedMemoryContext

use of com.facebook.presto.raptor.RaptorOrcAggregatedMemoryContext in project presto by prestodb.

the class ShardStats method doComputeColumnStats.

private static ColumnStats doComputeColumnStats(OrcReader orcReader, long columnId, Type type, TypeManager typeManager) throws IOException {
    StorageTypeConverter storageTypeConverter = new StorageTypeConverter(typeManager);
    int columnIndex = columnIndex(orcReader.getColumnNames(), columnId);
    OrcBatchRecordReader reader = orcReader.createBatchRecordReader(storageTypeConverter.toStorageTypes(ImmutableMap.of(columnIndex, toOrcFileType(type, typeManager))), OrcPredicate.TRUE, UTC, new RaptorOrcAggregatedMemoryContext(), INITIAL_BATCH_SIZE);
    if (type.equals(BOOLEAN)) {
        return indexBoolean(reader, columnIndex, columnId);
    }
    if (type.equals(BigintType.BIGINT) || type.equals(DateType.DATE) || type.equals(TimeType.TIME) || type.equals(TimestampType.TIMESTAMP)) {
        return indexLong(type, reader, columnIndex, columnId);
    }
    if (type.equals(DOUBLE)) {
        return indexDouble(reader, columnIndex, columnId);
    }
    if (type instanceof VarcharType) {
        return indexString(type, reader, columnIndex, columnId);
    }
    return null;
}

Example 7 with RaptorOrcAggregatedMemoryContext

use of com.facebook.presto.raptor.RaptorOrcAggregatedMemoryContext in project presto by prestodb.

the class OrcFileRewriter method rewrite.

public OrcFileInfo rewrite(FileSystem fileSystem, Map<String, Type> allColumnTypes, Path input, Path output, BitSet rowsToDelete) throws IOException {
    try (ThreadContextClassLoader ignored = new ThreadContextClassLoader(FileSystem.class.getClassLoader());
        OrcDataSource dataSource = orcDataEnvironment.createOrcDataSource(fileSystem, input, readerAttributes)) {
        OrcReader reader = new OrcReader(dataSource, ORC, orcFileTailSource, stripeMetadataSourceFactory, new RaptorOrcAggregatedMemoryContext(), new OrcReaderOptions(readerAttributes.getMaxMergeDistance(), readerAttributes.getTinyStripeThreshold(), HUGE_MAX_READ_BLOCK_SIZE, readerAttributes.isZstdJniDecompressionEnabled()), false, NO_ENCRYPTION, DwrfKeyProvider.EMPTY, new RuntimeStats());
        if (reader.getFooter().getNumberOfRows() < rowsToDelete.length()) {
            throw new IOException("File has fewer rows than deletion vector");
        }
        int deleteRowCount = rowsToDelete.cardinality();
        if (reader.getFooter().getNumberOfRows() == deleteRowCount) {
            return new OrcFileInfo(0, 0);
        }
        if (reader.getFooter().getNumberOfRows() >= Integer.MAX_VALUE) {
            throw new IOException("File has too many rows");
        }
        int inputRowCount = toIntExact(reader.getFooter().getNumberOfRows());
        Map<String, Integer> currentColumnIds = IntStream.range(0, reader.getColumnNames().size()).boxed().collect(toMap(reader.getColumnNames()::get, i -> i));
        ImmutableList.Builder<Type> writerColumnTypesBuilder = ImmutableList.builder();
        ImmutableList.Builder<String> writerColumnIdsBuilder = ImmutableList.builder();
        ImmutableList.Builder<Integer> readerColumnIndexBuilder = ImmutableList.builder();
        // Build columns for writer; keep the right ordinal
        Map<String, Type> orderedAllColumnTypes = new TreeMap<>(Comparator.comparingLong(Long::parseLong));
        orderedAllColumnTypes.putAll(allColumnTypes);
        for (Map.Entry<String, Type> columnType : orderedAllColumnTypes.entrySet()) {
            // Get the intersection of the provide columns and the actual columns
            Integer currentColumnIndex = currentColumnIds.get(columnType.getKey());
            if (currentColumnIndex != null) {
                readerColumnIndexBuilder.add(currentColumnIndex);
                writerColumnTypesBuilder.add(columnType.getValue());
                writerColumnIdsBuilder.add(columnType.getKey());
            }
        }
        List<Type> writerColumnTypes = writerColumnTypesBuilder.build();
        List<String> writerColumnIds = writerColumnIdsBuilder.build();
        List<Integer> readerColumnIndex = readerColumnIndexBuilder.build();
        Map<Integer, Type> readerColumns = IntStream.range(0, readerColumnIndex.size()).boxed().collect(toMap(readerColumnIndex::get, writerColumnTypes::get));
        if (writerColumnTypes.isEmpty()) {
            // no intersection; directly return
            return new OrcFileInfo(0, 0);
        }
        StorageTypeConverter converter = new StorageTypeConverter(typeManager);
        List<Type> writerStorageTypes = writerColumnTypes.stream().map(converter::toStorageType).collect(toImmutableList());
        long start = System.nanoTime();
        Map<String, String> userMetadata = ImmutableMap.of();
        if (reader.getFooter().getUserMetadata().containsKey(OrcFileMetadata.KEY)) {
            // build metadata if the original file has it
            ImmutableMap.Builder<Long, TypeSignature> metadataBuilder = ImmutableMap.builder();
            for (int i = 0; i < writerColumnIds.size(); i++) {
                metadataBuilder.put(Long.parseLong(writerColumnIds.get(i)), writerColumnTypes.get(i).getTypeSignature());
            }
            userMetadata = ImmutableMap.of(OrcFileMetadata.KEY, METADATA_CODEC.toJson(new OrcFileMetadata(metadataBuilder.build())));
        }
        StorageTypeConverter storageTypeConverter = new StorageTypeConverter(typeManager);
        try (Closer<OrcBatchRecordReader, IOException> recordReader = closer(reader.createBatchRecordReader(storageTypeConverter.toStorageTypes(readerColumns), TRUE, DEFAULT_STORAGE_TIMEZONE, new RaptorOrcAggregatedMemoryContext(), INITIAL_BATCH_SIZE), OrcBatchRecordReader::close);
            Closer<OrcWriter, IOException> writer = closer(new OrcWriter(orcDataEnvironment.createOrcDataSink(fileSystem, output), writerColumnIds, writerStorageTypes, ORC, compression, Optional.empty(), NO_ENCRYPTION, getDefaultOrcWriterOptions(), userMetadata, DEFAULT_STORAGE_TIMEZONE, validate, HASHED, stats), OrcWriter::close)) {
            OrcFileInfo fileInfo = rewrite(recordReader.get(), writer.get(), rowsToDelete, writerColumnTypes, readerColumnIndexBuilder.build());
            log.debug("Rewrote file %s in %s (input rows: %s, output rows: %s)", input.getName(), nanosSince(start), inputRowCount, inputRowCount - deleteRowCount);
            return fileInfo;
        }
    } catch (NotSupportedException e) {
        throw new PrestoException(NOT_SUPPORTED, e.getMessage(), e);
    }
}

Example 8 with RaptorOrcAggregatedMemoryContext

use of com.facebook.presto.raptor.RaptorOrcAggregatedMemoryContext in project presto by prestodb.

the class OrcTestingUtil method createRecordReader.

public static OrcBatchRecordReader createRecordReader(OrcReader orcReader, Map<Integer, Type> includedColumns) throws OrcCorruptionException {
    Metadata metadata = MetadataManager.createTestMetadataManager();
    FunctionAndTypeManager functionAndTypeManager = metadata.getFunctionAndTypeManager();
    StorageTypeConverter storageTypeConverter = new StorageTypeConverter(functionAndTypeManager);
    return orcReader.createBatchRecordReader(storageTypeConverter.toStorageTypes(includedColumns), OrcPredicate.TRUE, DateTimeZone.UTC, new RaptorOrcAggregatedMemoryContext(), MAX_BATCH_SIZE);
}