Examples with TupleDomain com.facebook.presto.common.predicate.TupleDomain used on opensource projects

Example 36 with TupleDomain

use of com.facebook.presto.common.predicate.TupleDomain in project presto by prestodb.

the class HiveBucketing method getHiveBucketFilter.

public static Optional<HiveBucketFilter> getHiveBucketFilter(Optional<HiveBucketProperty> hiveBucketProperty, List<Column> dataColumns, TupleDomain<ColumnHandle> effectivePredicate) {
    if (!hiveBucketProperty.isPresent()) {
        return Optional.empty();
    }
    if (!hiveBucketProperty.get().getBucketFunctionType().equals(HIVE_COMPATIBLE)) {
        // bucket filtering is only supported for tables bucketed with HIVE_COMPATIBLE hash function
        return Optional.empty();
    }
    Optional<Map<ColumnHandle, Set<NullableValue>>> bindings = TupleDomain.extractFixedValueSets(effectivePredicate);
    if (!bindings.isPresent()) {
        return Optional.empty();
    }
    Optional<Set<Integer>> buckets = getHiveBuckets(hiveBucketProperty, dataColumns, bindings.get());
    if (buckets.isPresent()) {
        return Optional.of(new HiveBucketFilter(buckets.get()));
    }
    if (!effectivePredicate.getDomains().isPresent()) {
        return Optional.empty();
    }
    Optional<Domain> domain = effectivePredicate.getDomains().get().entrySet().stream().filter(entry -> ((HiveColumnHandle) entry.getKey()).getName().equals(BUCKET_COLUMN_NAME)).findFirst().map(Entry::getValue);
    if (!domain.isPresent()) {
        return Optional.empty();
    }
    ValueSet values = domain.get().getValues();
    ImmutableSet.Builder<Integer> builder = ImmutableSet.builder();
    int bucketCount = hiveBucketProperty.get().getBucketCount();
    for (int i = 0; i < bucketCount; i++) {
        if (values.containsValue((long) i)) {
            builder.add(i);
        }
    }
    return Optional.of(new HiveBucketFilter(builder.build()));
}

Example 37 with TupleDomain

use of com.facebook.presto.common.predicate.TupleDomain in project presto by prestodb.

the class PickTableLayout method pushPredicateIntoTableScan.

/**
 * For RowExpression {@param predicate}
 */
private static PlanNode pushPredicateIntoTableScan(TableScanNode node, RowExpression predicate, boolean pruneWithPredicateExpression, Session session, PlanNodeIdAllocator idAllocator, Metadata metadata, DomainTranslator domainTranslator) {
    // don't include non-deterministic predicates
    LogicalRowExpressions logicalRowExpressions = new LogicalRowExpressions(new RowExpressionDeterminismEvaluator(metadata.getFunctionAndTypeManager()), new FunctionResolution(metadata.getFunctionAndTypeManager()), metadata.getFunctionAndTypeManager());
    RowExpression deterministicPredicate = logicalRowExpressions.filterDeterministicConjuncts(predicate);
    DomainTranslator.ExtractionResult<VariableReferenceExpression> decomposedPredicate = domainTranslator.fromPredicate(session.toConnectorSession(), deterministicPredicate, BASIC_COLUMN_EXTRACTOR);
    TupleDomain<ColumnHandle> newDomain = decomposedPredicate.getTupleDomain().transform(variableName -> node.getAssignments().get(variableName)).intersect(node.getEnforcedConstraint());
    Map<ColumnHandle, VariableReferenceExpression> assignments = ImmutableBiMap.copyOf(node.getAssignments()).inverse();
    Constraint<ColumnHandle> constraint;
    if (pruneWithPredicateExpression) {
        LayoutConstraintEvaluatorForRowExpression evaluator = new LayoutConstraintEvaluatorForRowExpression(metadata, session, node.getAssignments(), logicalRowExpressions.combineConjuncts(deterministicPredicate, // which would be expensive to evaluate in the call to isCandidate below.
        domainTranslator.toPredicate(newDomain.simplify().transform(column -> assignments.getOrDefault(column, null)))));
        constraint = new Constraint<>(newDomain, evaluator::isCandidate);
    } else {
        // Currently, invoking the expression interpreter is very expensive.
        // TODO invoke the interpreter unconditionally when the interpreter becomes cheap enough.
        constraint = new Constraint<>(newDomain);
    }
    if (constraint.getSummary().isNone()) {
        return new ValuesNode(node.getSourceLocation(), idAllocator.getNextId(), node.getOutputVariables(), ImmutableList.of());
    }
    // Layouts will be returned in order of the connector's preference
    TableLayoutResult layout = metadata.getLayout(session, node.getTable(), constraint, Optional.of(node.getOutputVariables().stream().map(variable -> node.getAssignments().get(variable)).collect(toImmutableSet())));
    if (layout.getLayout().getPredicate().isNone()) {
        return new ValuesNode(node.getSourceLocation(), idAllocator.getNextId(), node.getOutputVariables(), ImmutableList.of());
    }
    TableScanNode tableScan = new TableScanNode(node.getSourceLocation(), node.getId(), layout.getLayout().getNewTableHandle(), node.getOutputVariables(), node.getAssignments(), layout.getLayout().getPredicate(), computeEnforced(newDomain, layout.getUnenforcedConstraint()));
    // The order of the arguments to combineConjuncts matters:
    // * Unenforced constraints go first because they can only be simple column references,
    // which are not prone to logic errors such as out-of-bound access, div-by-zero, etc.
    // * Conjuncts in non-deterministic expressions and non-TupleDomain-expressible expressions should
    // retain their original (maybe intermixed) order from the input predicate. However, this is not implemented yet.
    // * Short of implementing the previous bullet point, the current order of non-deterministic expressions
    // and non-TupleDomain-expressible expressions should be retained. Changing the order can lead
    // to failures of previously successful queries.
    RowExpression resultingPredicate = logicalRowExpressions.combineConjuncts(domainTranslator.toPredicate(layout.getUnenforcedConstraint().transform(assignments::get)), logicalRowExpressions.filterNonDeterministicConjuncts(predicate), decomposedPredicate.getRemainingExpression());
    if (!TRUE_CONSTANT.equals(resultingPredicate)) {
        return new FilterNode(node.getSourceLocation(), idAllocator.getNextId(), tableScan, resultingPredicate);
    }
    return tableScan;
}

Example 38 with TupleDomain

use of com.facebook.presto.common.predicate.TupleDomain in project presto by prestodb.

the class HiveFilterPushdown method pushdownFilter.

@VisibleForTesting
public static ConnectorPushdownFilterResult pushdownFilter(ConnectorSession session, ConnectorMetadata metadata, SemiTransactionalHiveMetastore metastore, RowExpressionService rowExpressionService, StandardFunctionResolution functionResolution, HivePartitionManager partitionManager, FunctionMetadataManager functionMetadataManager, ConnectorTableHandle tableHandle, RowExpression filter, Optional<ConnectorTableLayoutHandle> currentLayoutHandle) {
    checkArgument(!FALSE_CONSTANT.equals(filter), "Cannot pushdown filter that is always false");
    if (TRUE_CONSTANT.equals(filter) && currentLayoutHandle.isPresent()) {
        return new ConnectorPushdownFilterResult(metadata.getTableLayout(session, currentLayoutHandle.get()), TRUE_CONSTANT);
    }
    // Split the filter into 3 groups of conjuncts:
    // - range filters that apply to entire columns,
    // - range filters that apply to subfields,
    // - the rest. Intersect these with possibly pre-existing filters.
    DomainTranslator.ExtractionResult<Subfield> decomposedFilter = rowExpressionService.getDomainTranslator().fromPredicate(session, filter, new SubfieldExtractor(functionResolution, rowExpressionService.getExpressionOptimizer(), session).toColumnExtractor());
    if (currentLayoutHandle.isPresent()) {
        HiveTableLayoutHandle currentHiveLayout = (HiveTableLayoutHandle) currentLayoutHandle.get();
        decomposedFilter = intersectExtractionResult(new DomainTranslator.ExtractionResult(currentHiveLayout.getDomainPredicate(), currentHiveLayout.getRemainingPredicate()), decomposedFilter);
    }
    if (decomposedFilter.getTupleDomain().isNone()) {
        return new ConnectorPushdownFilterResult(EMPTY_TABLE_LAYOUT, FALSE_CONSTANT);
    }
    RowExpression optimizedRemainingExpression = rowExpressionService.getExpressionOptimizer().optimize(decomposedFilter.getRemainingExpression(), OPTIMIZED, session);
    if (optimizedRemainingExpression instanceof ConstantExpression) {
        ConstantExpression constantExpression = (ConstantExpression) optimizedRemainingExpression;
        if (FALSE_CONSTANT.equals(constantExpression) || constantExpression.getValue() == null) {
            return new ConnectorPushdownFilterResult(EMPTY_TABLE_LAYOUT, FALSE_CONSTANT);
        }
    }
    Map<String, ColumnHandle> columnHandles = metadata.getColumnHandles(session, tableHandle);
    TupleDomain<ColumnHandle> entireColumnDomain = decomposedFilter.getTupleDomain().transform(subfield -> isEntireColumn(subfield) ? subfield.getRootName() : null).transform(columnHandles::get);
    if (currentLayoutHandle.isPresent()) {
        entireColumnDomain = entireColumnDomain.intersect(((HiveTableLayoutHandle) (currentLayoutHandle.get())).getPartitionColumnPredicate());
    }
    Constraint<ColumnHandle> constraint = new Constraint<>(entireColumnDomain);
    // Extract deterministic conjuncts that apply to partition columns and specify these as Constraint#predicate
    if (!TRUE_CONSTANT.equals(decomposedFilter.getRemainingExpression())) {
        LogicalRowExpressions logicalRowExpressions = new LogicalRowExpressions(rowExpressionService.getDeterminismEvaluator(), functionResolution, functionMetadataManager);
        RowExpression deterministicPredicate = logicalRowExpressions.filterDeterministicConjuncts(decomposedFilter.getRemainingExpression());
        if (!TRUE_CONSTANT.equals(deterministicPredicate)) {
            ConstraintEvaluator evaluator = new ConstraintEvaluator(rowExpressionService, session, columnHandles, deterministicPredicate);
            constraint = new Constraint<>(entireColumnDomain, evaluator::isCandidate);
        }
    }
    HivePartitionResult hivePartitionResult = partitionManager.getPartitions(metastore, tableHandle, constraint, session);
    TupleDomain<Subfield> domainPredicate = withColumnDomains(ImmutableMap.<Subfield, Domain>builder().putAll(hivePartitionResult.getUnenforcedConstraint().transform(HiveFilterPushdown::toSubfield).getDomains().orElse(ImmutableMap.of())).putAll(decomposedFilter.getTupleDomain().transform(subfield -> !isEntireColumn(subfield) ? subfield : null).getDomains().orElse(ImmutableMap.of())).build());
    Set<String> predicateColumnNames = new HashSet<>();
    domainPredicate.getDomains().get().keySet().stream().map(Subfield::getRootName).forEach(predicateColumnNames::add);
    // Include only columns referenced in the optimized expression. Although the expression is sent to the worker node
    // unoptimized, the worker is expected to optimize the expression before executing.
    extractAll(optimizedRemainingExpression).stream().map(VariableReferenceExpression::getName).forEach(predicateColumnNames::add);
    Map<String, HiveColumnHandle> predicateColumns = predicateColumnNames.stream().map(columnHandles::get).map(HiveColumnHandle.class::cast).collect(toImmutableMap(HiveColumnHandle::getName, Functions.identity()));
    SchemaTableName tableName = ((HiveTableHandle) tableHandle).getSchemaTableName();
    LogicalRowExpressions logicalRowExpressions = new LogicalRowExpressions(rowExpressionService.getDeterminismEvaluator(), functionResolution, functionMetadataManager);
    List<RowExpression> conjuncts = extractConjuncts(decomposedFilter.getRemainingExpression());
    RowExpression dynamicFilterExpression = extractDynamicConjuncts(conjuncts, logicalRowExpressions);
    RowExpression remainingExpression = extractStaticConjuncts(conjuncts, logicalRowExpressions);
    remainingExpression = removeNestedDynamicFilters(remainingExpression);
    Table table = metastore.getTable(new MetastoreContext(session.getIdentity(), session.getQueryId(), session.getClientInfo(), session.getSource(), getMetastoreHeaders(session), isUserDefinedTypeEncodingEnabled(session), metastore.getColumnConverterProvider()), tableName.getSchemaName(), tableName.getTableName()).orElseThrow(() -> new TableNotFoundException(tableName));
    return new ConnectorPushdownFilterResult(metadata.getTableLayout(session, new HiveTableLayoutHandle(tableName, table.getStorage().getLocation(), hivePartitionResult.getPartitionColumns(), // remove comments to optimize serialization costs
    pruneColumnComments(hivePartitionResult.getDataColumns()), hivePartitionResult.getTableParameters(), hivePartitionResult.getPartitions(), domainPredicate, remainingExpression, predicateColumns, hivePartitionResult.getEnforcedConstraint(), hivePartitionResult.getBucketHandle(), hivePartitionResult.getBucketFilter(), true, createTableLayoutString(session, rowExpressionService, tableName, hivePartitionResult.getBucketHandle(), hivePartitionResult.getBucketFilter(), remainingExpression, domainPredicate), currentLayoutHandle.map(layout -> ((HiveTableLayoutHandle) layout).getRequestedColumns()).orElse(Optional.empty()), false)), dynamicFilterExpression);
}

Example 39 with TupleDomain

use of com.facebook.presto.common.predicate.TupleDomain in project presto by prestodb.

the class ParquetPageSourceFactory method createParquetPageSource.

public static ConnectorPageSource createParquetPageSource(HdfsEnvironment hdfsEnvironment, String user, Configuration configuration, Path path, long start, long length, long fileSize, List<HiveColumnHandle> columns, SchemaTableName tableName, boolean useParquetColumnNames, DataSize maxReadBlockSize, boolean batchReaderEnabled, boolean verificationEnabled, TypeManager typeManager, StandardFunctionResolution functionResolution, TupleDomain<HiveColumnHandle> effectivePredicate, FileFormatDataSourceStats stats, HiveFileContext hiveFileContext, ParquetMetadataSource parquetMetadataSource, boolean columnIndexFilterEnabled) {
    AggregatedMemoryContext systemMemoryContext = newSimpleAggregatedMemoryContext();
    ParquetDataSource dataSource = null;
    try {
        FSDataInputStream inputStream = hdfsEnvironment.getFileSystem(user, path, configuration).openFile(path, hiveFileContext);
        dataSource = buildHdfsParquetDataSource(inputStream, path, stats);
        ParquetMetadata parquetMetadata = parquetMetadataSource.getParquetMetadata(dataSource, fileSize, hiveFileContext.isCacheable()).getParquetMetadata();
        if (!columns.isEmpty() && columns.stream().allMatch(hiveColumnHandle -> hiveColumnHandle.getColumnType() == AGGREGATED)) {
            return new AggregatedParquetPageSource(columns, parquetMetadata, typeManager, functionResolution);
        }
        FileMetaData fileMetaData = parquetMetadata.getFileMetaData();
        MessageType fileSchema = fileMetaData.getSchema();
        Optional<MessageType> message = columns.stream().filter(column -> column.getColumnType() == REGULAR || isPushedDownSubfield(column)).map(column -> getColumnType(typeManager.getType(column.getTypeSignature()), fileSchema, useParquetColumnNames, column, tableName, path)).filter(Optional::isPresent).map(Optional::get).map(type -> new MessageType(fileSchema.getName(), type)).reduce(MessageType::union);
        MessageType requestedSchema = message.orElse(new MessageType(fileSchema.getName(), ImmutableList.of()));
        ImmutableList.Builder<BlockMetaData> footerBlocks = ImmutableList.builder();
        for (BlockMetaData block : parquetMetadata.getBlocks()) {
            long firstDataPage = block.getColumns().get(0).getFirstDataPageOffset();
            if (firstDataPage >= start && firstDataPage < start + length) {
                footerBlocks.add(block);
            }
        }
        Map<List<String>, RichColumnDescriptor> descriptorsByPath = getDescriptors(fileSchema, requestedSchema);
        TupleDomain<ColumnDescriptor> parquetTupleDomain = getParquetTupleDomain(descriptorsByPath, effectivePredicate);
        Predicate parquetPredicate = buildPredicate(requestedSchema, parquetTupleDomain, descriptorsByPath);
        final ParquetDataSource finalDataSource = dataSource;
        ImmutableList.Builder<BlockMetaData> blocks = ImmutableList.builder();
        List<ColumnIndexStore> blockIndexStores = new ArrayList<>();
        for (BlockMetaData block : footerBlocks.build()) {
            Optional<ColumnIndexStore> columnIndexStore = ColumnIndexFilterUtils.getColumnIndexStore(parquetPredicate, finalDataSource, block, descriptorsByPath, columnIndexFilterEnabled);
            if (predicateMatches(parquetPredicate, block, finalDataSource, descriptorsByPath, parquetTupleDomain, columnIndexStore, columnIndexFilterEnabled)) {
                blocks.add(block);
                blockIndexStores.add(columnIndexStore.orElse(null));
                hiveFileContext.incrementCounter("parquet.blocksRead", 1);
                hiveFileContext.incrementCounter("parquet.rowsRead", block.getRowCount());
                hiveFileContext.incrementCounter("parquet.totalBytesRead", block.getTotalByteSize());
            } else {
                hiveFileContext.incrementCounter("parquet.blocksSkipped", 1);
                hiveFileContext.incrementCounter("parquet.rowsSkipped", block.getRowCount());
                hiveFileContext.incrementCounter("parquet.totalBytesSkipped", block.getTotalByteSize());
            }
        }
        MessageColumnIO messageColumnIO = getColumnIO(fileSchema, requestedSchema);
        ParquetReader parquetReader = new ParquetReader(messageColumnIO, blocks.build(), dataSource, systemMemoryContext, maxReadBlockSize, batchReaderEnabled, verificationEnabled, parquetPredicate, blockIndexStores, columnIndexFilterEnabled);
        ImmutableList.Builder<String> namesBuilder = ImmutableList.builder();
        ImmutableList.Builder<Type> typesBuilder = ImmutableList.builder();
        ImmutableList.Builder<Optional<Field>> fieldsBuilder = ImmutableList.builder();
        for (HiveColumnHandle column : columns) {
            checkArgument(column.getColumnType() == REGULAR || column.getColumnType() == SYNTHESIZED, "column type must be regular or synthesized column");
            String name = column.getName();
            Type type = typeManager.getType(column.getTypeSignature());
            namesBuilder.add(name);
            typesBuilder.add(type);
            if (column.getColumnType() == SYNTHESIZED) {
                Subfield pushedDownSubfield = getPushedDownSubfield(column);
                List<String> nestedColumnPath = nestedColumnPath(pushedDownSubfield);
                Optional<ColumnIO> columnIO = findNestedColumnIO(lookupColumnByName(messageColumnIO, pushedDownSubfield.getRootName()), nestedColumnPath);
                if (columnIO.isPresent()) {
                    fieldsBuilder.add(constructField(type, columnIO.get()));
                } else {
                    fieldsBuilder.add(Optional.empty());
                }
            } else if (getParquetType(type, fileSchema, useParquetColumnNames, column, tableName, path).isPresent()) {
                String columnName = useParquetColumnNames ? name : fileSchema.getFields().get(column.getHiveColumnIndex()).getName();
                fieldsBuilder.add(constructField(type, lookupColumnByName(messageColumnIO, columnName)));
            } else {
                fieldsBuilder.add(Optional.empty());
            }
        }
        return new ParquetPageSource(parquetReader, typesBuilder.build(), fieldsBuilder.build(), namesBuilder.build(), hiveFileContext.getStats());
    } catch (Exception e) {
        try {
            if (dataSource != null) {
                dataSource.close();
            }
        } catch (IOException ignored) {
        }
        if (e instanceof PrestoException) {
            throw (PrestoException) e;
        }
        if (e instanceof ParquetCorruptionException) {
            throw new PrestoException(HIVE_BAD_DATA, e);
        }
        if (e instanceof AccessControlException) {
            throw new PrestoException(PERMISSION_DENIED, e.getMessage(), e);
        }
        if (nullToEmpty(e.getMessage()).trim().equals("Filesystem closed") || e instanceof FileNotFoundException) {
            throw new PrestoException(HIVE_CANNOT_OPEN_SPLIT, e);
        }
        String message = format("Error opening Hive split %s (offset=%s, length=%s): %s", path, start, length, e.getMessage());
        if (e.getClass().getSimpleName().equals("BlockMissingException")) {
            throw new PrestoException(HIVE_MISSING_DATA, message, e);
        }
        throw new PrestoException(HIVE_CANNOT_OPEN_SPLIT, message, e);
    }
}

Example 40 with TupleDomain

use of com.facebook.presto.common.predicate.TupleDomain in project presto by prestodb.

the class OrcBatchPageSourceFactory method createOrcPageSource.

public static ConnectorPageSource createOrcPageSource(OrcEncoding orcEncoding, HdfsEnvironment hdfsEnvironment, String sessionUser, Configuration configuration, Path path, long start, long length, long fileSize, List<HiveColumnHandle> columns, boolean useOrcColumnNames, TupleDomain<HiveColumnHandle> effectivePredicate, DateTimeZone hiveStorageTimeZone, TypeManager typeManager, StandardFunctionResolution functionResolution, DataSize maxBufferSize, DataSize streamBufferSize, boolean lazyReadSmallRanges, boolean orcBloomFiltersEnabled, FileFormatDataSourceStats stats, int domainCompactionThreshold, OrcFileTailSource orcFileTailSource, StripeMetadataSourceFactory stripeMetadataSourceFactory, HiveFileContext hiveFileContext, OrcReaderOptions orcReaderOptions, Optional<EncryptionInformation> encryptionInformation, DwrfEncryptionProvider dwrfEncryptionProvider) {
    checkArgument(domainCompactionThreshold >= 1, "domainCompactionThreshold must be at least 1");
    OrcDataSource orcDataSource;
    try {
        FSDataInputStream inputStream = hdfsEnvironment.getFileSystem(sessionUser, path, configuration).openFile(path, hiveFileContext);
        orcDataSource = new HdfsOrcDataSource(new OrcDataSourceId(path.toString()), fileSize, orcReaderOptions.getMaxMergeDistance(), maxBufferSize, streamBufferSize, lazyReadSmallRanges, inputStream, stats);
    } catch (Exception e) {
        if (nullToEmpty(e.getMessage()).trim().equals("Filesystem closed") || e instanceof FileNotFoundException) {
            throw new PrestoException(HIVE_CANNOT_OPEN_SPLIT, e);
        }
        throw new PrestoException(HIVE_CANNOT_OPEN_SPLIT, splitError(e, path, start, length), e);
    }
    OrcAggregatedMemoryContext systemMemoryUsage = new HiveOrcAggregatedMemoryContext();
    try {
        DwrfKeyProvider dwrfKeyProvider = new ProjectionBasedDwrfKeyProvider(encryptionInformation, columns, useOrcColumnNames, path);
        OrcReader reader = new OrcReader(orcDataSource, orcEncoding, orcFileTailSource, stripeMetadataSourceFactory, new HiveOrcAggregatedMemoryContext(), orcReaderOptions, hiveFileContext.isCacheable(), dwrfEncryptionProvider, dwrfKeyProvider, hiveFileContext.getStats());
        List<HiveColumnHandle> physicalColumns = getPhysicalHiveColumnHandles(columns, useOrcColumnNames, reader.getTypes(), path);
        ImmutableMap.Builder<Integer, Type> includedColumns = ImmutableMap.builder();
        ImmutableList.Builder<ColumnReference<HiveColumnHandle>> columnReferences = ImmutableList.builder();
        for (HiveColumnHandle column : physicalColumns) {
            if (column.getColumnType() == REGULAR) {
                Type type = typeManager.getType(column.getTypeSignature());
                includedColumns.put(column.getHiveColumnIndex(), type);
                columnReferences.add(new ColumnReference<>(column, column.getHiveColumnIndex(), type));
            }
        }
        if (!physicalColumns.isEmpty() && physicalColumns.stream().allMatch(hiveColumnHandle -> hiveColumnHandle.getColumnType() == AGGREGATED)) {
            return new AggregatedOrcPageSource(physicalColumns, reader.getFooter(), typeManager, functionResolution);
        }
        OrcPredicate predicate = new TupleDomainOrcPredicate<>(effectivePredicate, columnReferences.build(), orcBloomFiltersEnabled, Optional.of(domainCompactionThreshold));
        OrcBatchRecordReader recordReader = reader.createBatchRecordReader(includedColumns.build(), predicate, start, length, hiveStorageTimeZone, systemMemoryUsage, INITIAL_BATCH_SIZE);
        return new OrcBatchPageSource(recordReader, reader.getOrcDataSource(), physicalColumns, typeManager, systemMemoryUsage, stats, hiveFileContext.getStats());
    } catch (Exception e) {
        try {
            orcDataSource.close();
        } catch (IOException ignored) {
        }
        if (e instanceof PrestoException) {
            throw (PrestoException) e;
        }
        String message = splitError(e, path, start, length);
        if (e.getClass().getSimpleName().equals("BlockMissingException")) {
            throw new PrestoException(HIVE_MISSING_DATA, message, e);
        }
        throw new PrestoException(HIVE_CANNOT_OPEN_SPLIT, message, e);
    }
}