Examples with META_TABLE_COLUMNS org.apache.hadoop.hive.metastore.api.hive_metastoreConstants.META_TABLE_COLUMNS used on opensource projects

Example 1 with META_TABLE_COLUMNS

use of org.apache.hadoop.hive.metastore.api.hive_metastoreConstants.META_TABLE_COLUMNS in project presto by prestodb.

the class RcFileFileWriterFactory method createFileWriter.

@Override
public Optional<HiveFileWriter> createFileWriter(Path path, List<String> inputColumnNames, StorageFormat storageFormat, Properties schema, JobConf configuration, ConnectorSession session, Optional<EncryptionInformation> encryptionInformation) {
    if (!HiveSessionProperties.isRcfileOptimizedWriterEnabled(session)) {
        return Optional.empty();
    }
    if (!RCFileOutputFormat.class.getName().equals(storageFormat.getOutputFormat())) {
        return Optional.empty();
    }
    RcFileEncoding rcFileEncoding;
    if (LazyBinaryColumnarSerDe.class.getName().equals(storageFormat.getSerDe())) {
        rcFileEncoding = new BinaryRcFileEncoding();
    } else if (ColumnarSerDe.class.getName().equals(storageFormat.getSerDe())) {
        rcFileEncoding = createTextVectorEncoding(schema, hiveStorageTimeZone);
    } else {
        return Optional.empty();
    }
    Optional<String> codecName = Optional.ofNullable(configuration.get(FileOutputFormat.COMPRESS_CODEC));
    // existing tables and partitions may have columns in a different order than the writer is providing, so build
    // an index to rearrange columns in the proper order
    List<String> fileColumnNames = Splitter.on(',').trimResults().omitEmptyStrings().splitToList(schema.getProperty(META_TABLE_COLUMNS, ""));
    List<Type> fileColumnTypes = toHiveTypes(schema.getProperty(META_TABLE_COLUMN_TYPES, "")).stream().map(hiveType -> hiveType.getType(typeManager)).collect(toList());
    int[] fileInputColumnIndexes = fileColumnNames.stream().mapToInt(inputColumnNames::indexOf).toArray();
    try {
        FileSystem fileSystem = hdfsEnvironment.getFileSystem(session.getUser(), path, configuration);
        OutputStream outputStream = fileSystem.create(path);
        Optional<Supplier<RcFileDataSource>> validationInputFactory = Optional.empty();
        if (HiveSessionProperties.isRcfileOptimizedWriterValidate(session)) {
            validationInputFactory = Optional.of(() -> {
                try {
                    return new HdfsRcFileDataSource(path.toString(), fileSystem.open(path), fileSystem.getFileStatus(path).getLen(), stats);
                } catch (IOException e) {
                    throw new PrestoException(HIVE_WRITE_VALIDATION_FAILED, e);
                }
            });
        }
        Callable<Void> rollbackAction = () -> {
            fileSystem.delete(path, false);
            return null;
        };
        return Optional.of(new RcFileFileWriter(outputStream, rollbackAction, rcFileEncoding, fileColumnTypes, codecName, fileInputColumnIndexes, ImmutableMap.<String, String>builder().put(HiveMetadata.PRESTO_VERSION_NAME, nodeVersion.toString()).put(MetastoreUtil.PRESTO_QUERY_ID_NAME, session.getQueryId()).build(), validationInputFactory));
    } catch (Exception e) {
        throw new PrestoException(HIVE_WRITER_OPEN_ERROR, "Error creating RCFile file", e);
    }
}

Example 2 with META_TABLE_COLUMNS

use of org.apache.hadoop.hive.metastore.api.hive_metastoreConstants.META_TABLE_COLUMNS in project presto by prestodb.

the class RcFileFileWriterFactory method createFileWriter.

@Override
public Optional<HiveFileWriter> createFileWriter(Path path, List<String> inputColumnNames, StorageFormat storageFormat, Properties schema, JobConf configuration, ConnectorSession session) {
    if (!HiveSessionProperties.isRcfileOptimizedWriterEnabled(session)) {
        return Optional.empty();
    }
    if (!RCFileOutputFormat.class.getName().equals(storageFormat.getOutputFormat())) {
        return Optional.empty();
    }
    RcFileEncoding rcFileEncoding;
    if (LazyBinaryColumnarSerDe.class.getName().equals(storageFormat.getSerDe())) {
        rcFileEncoding = new BinaryRcFileEncoding();
    } else if (ColumnarSerDe.class.getName().equals(storageFormat.getSerDe())) {
        rcFileEncoding = createTextVectorEncoding(schema, hiveStorageTimeZone);
    } else {
        return Optional.empty();
    }
    Optional<String> codecName = Optional.ofNullable(configuration.get(FileOutputFormat.COMPRESS_CODEC));
    // existing tables and partitions may have columns in a different order than the writer is providing, so build
    // and index to rearrange columns in the proper order
    List<String> fileColumnNames = Splitter.on(',').trimResults().omitEmptyStrings().splitToList(schema.getProperty(META_TABLE_COLUMNS, ""));
    List<Type> fileColumnTypes = toHiveTypes(schema.getProperty(META_TABLE_COLUMN_TYPES, "")).stream().map(hiveType -> hiveType.getType(typeManager)).collect(toList());
    int[] fileInputColumnIndexes = fileColumnNames.stream().mapToInt(inputColumnNames::indexOf).toArray();
    try {
        FileSystem fileSystem = hdfsEnvironment.getFileSystem(session.getUser(), path, configuration);
        OutputStream outputStream = fileSystem.create(path);
        Optional<Supplier<RcFileDataSource>> validationInputFactory = Optional.empty();
        if (HiveSessionProperties.isRcfileOptimizedWriterValidate(session)) {
            validationInputFactory = Optional.of(() -> {
                try {
                    return new HdfsRcFileDataSource(path.toString(), fileSystem.open(path), fileSystem.getFileStatus(path).getLen());
                } catch (IOException e) {
                    throw Throwables.propagate(e);
                }
            });
        }
        return Optional.of(new RcFileFileWriter(outputStream, rcFileEncoding, fileColumnTypes, codecName, fileInputColumnIndexes, ImmutableMap.<String, String>builder().put(HiveMetadata.PRESTO_VERSION_NAME, nodeVersion.toString()).put(HiveMetadata.PRESTO_QUERY_ID_NAME, session.getQueryId()).build(), validationInputFactory));
    } catch (Exception e) {
        throw Throwables.propagate(e);
    }
}

Example 3 with META_TABLE_COLUMNS

use of org.apache.hadoop.hive.metastore.api.hive_metastoreConstants.META_TABLE_COLUMNS in project presto by prestodb.

the class ParquetFileWriterFactory method createFileWriter.

@Override
public Optional<HiveFileWriter> createFileWriter(Path path, List<String> inputColumnNames, StorageFormat storageFormat, Properties schema, JobConf conf, ConnectorSession session, Optional<EncryptionInformation> encryptionInformation) {
    if (!isParquetOptimizedWriterEnabled(session)) {
        return Optional.empty();
    }
    if (!MapredParquetOutputFormat.class.getName().equals(storageFormat.getOutputFormat())) {
        return Optional.empty();
    }
    ParquetWriterOptions parquetWriterOptions = ParquetWriterOptions.builder().setMaxPageSize(getParquetWriterPageSize(session)).setMaxBlockSize(getParquetWriterBlockSize(session)).build();
    CompressionCodecName compressionCodecName = getCompression(conf);
    List<String> fileColumnNames = Splitter.on(',').trimResults().omitEmptyStrings().splitToList(schema.getProperty(META_TABLE_COLUMNS, ""));
    List<Type> fileColumnTypes = toHiveTypes(schema.getProperty(META_TABLE_COLUMN_TYPES, "")).stream().map(hiveType -> hiveType.getType(typeManager)).collect(toList());
    int[] fileInputColumnIndexes = fileColumnNames.stream().mapToInt(inputColumnNames::indexOf).toArray();
    try {
        FileSystem fileSystem = hdfsEnvironment.getFileSystem(session.getUser(), path, conf);
        Callable<Void> rollbackAction = () -> {
            fileSystem.delete(path, false);
            return null;
        };
        return Optional.of(new ParquetFileWriter(fileSystem.create(path), rollbackAction, fileColumnNames, fileColumnTypes, parquetWriterOptions, fileInputColumnIndexes, compressionCodecName));
    } catch (IOException e) {
        throw new PrestoException(HIVE_WRITER_OPEN_ERROR, "Error creating Parquet file", e);
    }
}

Example 4 with META_TABLE_COLUMNS

use of org.apache.hadoop.hive.metastore.api.hive_metastoreConstants.META_TABLE_COLUMNS in project presto by prestodb.

the class OrcFileWriterFactory method createFileWriter.

@Override
public Optional<HiveFileWriter> createFileWriter(Path path, List<String> inputColumnNames, StorageFormat storageFormat, Properties schema, JobConf configuration, ConnectorSession session, Optional<EncryptionInformation> encryptionInformation) {
    if (!HiveSessionProperties.isOrcOptimizedWriterEnabled(session)) {
        return Optional.empty();
    }
    OrcEncoding orcEncoding;
    if (OrcOutputFormat.class.getName().equals(storageFormat.getOutputFormat())) {
        orcEncoding = ORC;
    } else if (com.facebook.hive.orc.OrcOutputFormat.class.getName().equals(storageFormat.getOutputFormat())) {
        orcEncoding = DWRF;
    } else {
        return Optional.empty();
    }
    CompressionKind compression = getCompression(schema, configuration, orcEncoding);
    // existing tables and partitions may have columns in a different order than the writer is providing, so build
    // an index to rearrange columns in the proper order
    List<String> fileColumnNames = Splitter.on(',').trimResults().omitEmptyStrings().splitToList(schema.getProperty(META_TABLE_COLUMNS, ""));
    List<Type> fileColumnTypes = toHiveTypes(schema.getProperty(META_TABLE_COLUMN_TYPES, "")).stream().map(hiveType -> hiveType.getType(typeManager)).collect(toList());
    int[] fileInputColumnIndexes = fileColumnNames.stream().mapToInt(inputColumnNames::indexOf).toArray();
    try {
        FileSystem fileSystem = hdfsEnvironment.getFileSystem(session.getUser(), path, configuration);
        DataSink dataSink = createDataSink(session, fileSystem, path);
        Optional<Supplier<OrcDataSource>> validationInputFactory = Optional.empty();
        if (HiveSessionProperties.isOrcOptimizedWriterValidate(session)) {
            validationInputFactory = Optional.of(() -> {
                try {
                    return new HdfsOrcDataSource(new OrcDataSourceId(path.toString()), fileSystem.getFileStatus(path).getLen(), getOrcMaxMergeDistance(session), getOrcMaxBufferSize(session), getOrcStreamBufferSize(session), false, fileSystem.open(path), readStats);
                } catch (IOException e) {
                    throw new PrestoException(HIVE_WRITE_VALIDATION_FAILED, e);
                }
            });
        }
        Callable<Void> rollbackAction = () -> {
            fileSystem.delete(path, false);
            return null;
        };
        Optional<DwrfWriterEncryption> dwrfWriterEncryption = createDwrfEncryption(encryptionInformation, fileColumnNames, fileColumnTypes);
        return Optional.of(new OrcFileWriter(dataSink, rollbackAction, orcEncoding, fileColumnNames, fileColumnTypes, compression, orcFileWriterConfig.toOrcWriterOptionsBuilder().withFlushPolicy(DefaultOrcWriterFlushPolicy.builder().withStripeMinSize(getOrcOptimizedWriterMinStripeSize(session)).withStripeMaxSize(getOrcOptimizedWriterMaxStripeSize(session)).withStripeMaxRowCount(getOrcOptimizedWriterMaxStripeRows(session)).build()).withDictionaryMaxMemory(getOrcOptimizedWriterMaxDictionaryMemory(session)).withMaxStringStatisticsLimit(getOrcStringStatisticsLimit(session)).withIgnoreDictionaryRowGroupSizes(isExecutionBasedMemoryAccountingEnabled(session)).withDwrfStripeCacheEnabled(isDwrfWriterStripeCacheEnabled(session)).withDwrfStripeCacheMaxSize(getDwrfWriterStripeCacheeMaxSize(session)).build(), fileInputColumnIndexes, ImmutableMap.<String, String>builder().put(HiveMetadata.PRESTO_VERSION_NAME, nodeVersion.toString()).put(MetastoreUtil.PRESTO_QUERY_ID_NAME, session.getQueryId()).build(), hiveStorageTimeZone, validationInputFactory, getOrcOptimizedWriterValidateMode(session), stats, dwrfEncryptionProvider, dwrfWriterEncryption));
    } catch (IOException e) {
        throw new PrestoException(HIVE_WRITER_OPEN_ERROR, "Error creating " + orcEncoding + " file. " + e.getMessage(), e);
    }
}