Examples with HIVE_BAD_DATA io.prestosql.plugin.hive.HiveErrorCode.HIVE_BAD_DATA used on opensource projects

Example 1 with HIVE_BAD_DATA

use of io.prestosql.plugin.hive.HiveErrorCode.HIVE_BAD_DATA in project boostkit-bigdata by kunpengcompute.

the class ParquetPageSourceFactory method createParquetPageSource.

public static ParquetPageSource createParquetPageSource(HdfsEnvironment hdfsEnvironment, String user, Configuration configuration, Path path, long start, long length, long fileSize, Properties schema, List<HiveColumnHandle> columns, boolean useParquetColumnNames, boolean failOnCorruptedParquetStatistics, DataSize maxReadBlockSize, TypeManager typeManager, TupleDomain<HiveColumnHandle> effectivePredicate, FileFormatDataSourceStats stats, DateTimeZone timeZone) {
    AggregatedMemoryContext systemMemoryContext = newSimpleAggregatedMemoryContext();
    ParquetDataSource dataSource = null;
    DateTimeZone readerTimeZone = timeZone;
    try {
        FileSystem fileSystem = hdfsEnvironment.getFileSystem(user, path, configuration);
        FSDataInputStream inputStream = hdfsEnvironment.doAs(user, () -> fileSystem.open(path));
        ParquetMetadata parquetMetadata = MetadataReader.readFooter(inputStream, path, fileSize);
        FileMetaData fileMetaData = parquetMetadata.getFileMetaData();
        MessageType fileSchema = fileMetaData.getSchema();
        dataSource = buildHdfsParquetDataSource(inputStream, path, fileSize, stats);
        String writerTimeZoneId = fileMetaData.getKeyValueMetaData().get(WRITER_TIME_ZONE_KEY);
        if (writerTimeZoneId != null && !writerTimeZoneId.equalsIgnoreCase(readerTimeZone.getID())) {
            readerTimeZone = DateTimeZone.forID(writerTimeZoneId);
        }
        List<org.apache.parquet.schema.Type> fields = columns.stream().filter(column -> column.getColumnType() == REGULAR).map(column -> getParquetType(column, fileSchema, useParquetColumnNames)).filter(Objects::nonNull).collect(toList());
        MessageType requestedSchema = new MessageType(fileSchema.getName(), fields);
        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();
        for (BlockMetaData block : footerBlocks.build()) {
            if (predicateMatches(parquetPredicate, block, finalDataSource, descriptorsByPath, parquetTupleDomain, failOnCorruptedParquetStatistics)) {
                blocks.add(block);
            }
        }
        MessageColumnIO messageColumnIO = getColumnIO(fileSchema, requestedSchema);
        ParquetReader parquetReader = new ParquetReader(Optional.ofNullable(fileMetaData.getCreatedBy()), messageColumnIO, blocks.build(), dataSource, readerTimeZone, systemMemoryContext, maxReadBlockSize);
        return new ParquetPageSource(parquetReader, fileSchema, messageColumnIO, typeManager, schema, columns, effectivePredicate, useParquetColumnNames);
    } 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 (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 instanceof BlockMissingException) {
            throw new PrestoException(HIVE_MISSING_DATA, message, e);
        }
        throw new PrestoException(HIVE_CANNOT_OPEN_SPLIT, message, e);
    }
}

Example 2 with HIVE_BAD_DATA

use of io.prestosql.plugin.hive.HiveErrorCode.HIVE_BAD_DATA in project hetu-core by openlookeng.

the class ParquetPageSourceFactory method createParquetPageSource.

public static ParquetPageSource createParquetPageSource(HdfsEnvironment hdfsEnvironment, String user, Configuration configuration, Path path, long start, long length, long fileSize, Properties schema, List<HiveColumnHandle> columns, boolean useParquetColumnNames, boolean failOnCorruptedParquetStatistics, DataSize maxReadBlockSize, TypeManager typeManager, TupleDomain<HiveColumnHandle> effectivePredicate, FileFormatDataSourceStats stats, DateTimeZone timeZone) {
    AggregatedMemoryContext systemMemoryContext = newSimpleAggregatedMemoryContext();
    ParquetDataSource dataSource = null;
    DateTimeZone readerTimeZone = timeZone;
    try {
        FileSystem fileSystem = hdfsEnvironment.getFileSystem(user, path, configuration);
        FSDataInputStream inputStream = hdfsEnvironment.doAs(user, () -> fileSystem.open(path));
        ParquetMetadata parquetMetadata = MetadataReader.readFooter(inputStream, path, fileSize);
        FileMetaData fileMetaData = parquetMetadata.getFileMetaData();
        MessageType fileSchema = fileMetaData.getSchema();
        dataSource = buildHdfsParquetDataSource(inputStream, path, fileSize, stats);
        String writerTimeZoneId = fileMetaData.getKeyValueMetaData().get(WRITER_TIME_ZONE_KEY);
        if (writerTimeZoneId != null && !writerTimeZoneId.equalsIgnoreCase(readerTimeZone.getID())) {
            readerTimeZone = DateTimeZone.forID(writerTimeZoneId);
        }
        List<org.apache.parquet.schema.Type> fields = columns.stream().filter(column -> column.getColumnType() == REGULAR).map(column -> getParquetType(column, fileSchema, useParquetColumnNames)).filter(Objects::nonNull).collect(toList());
        MessageType requestedSchema = new MessageType(fileSchema.getName(), fields);
        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();
        for (BlockMetaData block : footerBlocks.build()) {
            if (predicateMatches(parquetPredicate, block, finalDataSource, descriptorsByPath, parquetTupleDomain, failOnCorruptedParquetStatistics)) {
                blocks.add(block);
            }
        }
        MessageColumnIO messageColumnIO = getColumnIO(fileSchema, requestedSchema);
        ParquetReader parquetReader = new ParquetReader(Optional.ofNullable(fileMetaData.getCreatedBy()), messageColumnIO, blocks.build(), dataSource, readerTimeZone, systemMemoryContext, maxReadBlockSize);
        return new ParquetPageSource(parquetReader, fileSchema, messageColumnIO, typeManager, schema, columns, effectivePredicate, useParquetColumnNames);
    } 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 (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 instanceof BlockMissingException) {
            throw new PrestoException(HIVE_MISSING_DATA, message, e);
        }
        throw new PrestoException(HIVE_CANNOT_OPEN_SPLIT, message, e);
    }
}