Apache Flink ORC Format Connector

<dependency>
    <groupId>org.apache.flink</groupId>
    <artifactId>flink-orc</artifactId>
    <version>2.1.0</version>
</dependency>

// Table API - main format factory
import org.apache.flink.orc.OrcFileFormatFactory;

// Writer API
import org.apache.flink.orc.writer.OrcBulkWriterFactory;
import org.apache.flink.orc.vector.Vectorizer;
import org.apache.flink.orc.vector.RowDataVectorizer;

// Reader API
import org.apache.flink.orc.OrcColumnarRowInputFormat;

// Filtering
import org.apache.flink.orc.OrcFilters;

// Create table with ORC format
TableEnvironment tableEnv = TableEnvironment.create(EnvironmentSettings.inBatchMode());

tableEnv.executeSql(
    "CREATE TABLE users (" +
    "  id BIGINT," +
    "  name STRING," +
    "  age INT," +
    "  active BOOLEAN" +
    ") WITH (" +
    "  'connector' = 'filesystem'," +
    "  'path' = '/path/to/orc/files'," +
    "  'format' = 'orc'" +
    ")"
);

// Query ORC data
Table result = tableEnv.sqlQuery("SELECT * FROM users WHERE active = true");

import org.apache.flink.orc.writer.OrcBulkWriterFactory;
import org.apache.flink.orc.vector.RowDataVectorizer;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.table.data.RowData;

// Create vectorizer for RowData
LogicalType[] fieldTypes = {
    new BigIntType(),
    new VarCharType(255),
    new IntType(),
    new BooleanType()
};

RowDataVectorizer vectorizer = new RowDataVectorizer(
    "struct<id:bigint,name:string,age:int,active:boolean>",
    fieldTypes
);

// Create ORC writer factory
OrcBulkWriterFactory<RowData> writerFactory = new OrcBulkWriterFactory<>(vectorizer);

// Use in sink
DataStream<RowData> dataStream = // ... your data stream
dataStream.addSink(
    StreamingFileSink.forBulkFormat(
        new Path("/path/to/output"),
        writerFactory
    ).build()
);

public class OrcFileFormatFactory implements BulkReaderFormatFactory, BulkWriterFormatFactory {
    public static final String IDENTIFIER = "orc";
    
    public String factoryIdentifier();
    public BulkDecodingFormat<RowData> createDecodingFormat(DynamicTableFactory.Context context, ReadableConfig formatOptions);
    public EncodingFormat<BulkWriter.Factory<RowData>> createEncodingFormat(DynamicTableFactory.Context context, ReadableConfig formatOptions);
}

@PublicEvolving
public class OrcBulkWriterFactory<T> implements BulkWriter.Factory<T> {
    public OrcBulkWriterFactory(Vectorizer<T> vectorizer);
    public OrcBulkWriterFactory(Vectorizer<T> vectorizer, Configuration configuration);
    public OrcBulkWriterFactory(Vectorizer<T> vectorizer, Properties writerProperties, Configuration configuration);
    
    public BulkWriter<T> create(FSDataOutputStream out) throws IOException;
}

@PublicEvolving
public abstract class Vectorizer<T> implements Serializable {
    public Vectorizer(String schema);
    public TypeDescription getSchema();
    public void addUserMetadata(String key, ByteBuffer value);
    public abstract void vectorize(T element, VectorizedRowBatch batch) throws IOException;
}

public class OrcColumnarRowInputFormat<BatchT, SplitT extends FileSourceSplit> 
        extends AbstractOrcFileInputFormat<RowData, BatchT, SplitT> 
        implements FileBasedStatisticsReportableInputFormat {
            
    public static <SplitT extends FileSourceSplit> OrcColumnarRowInputFormat<VectorizedRowBatch, SplitT> 
        createPartitionedFormat(
            OrcShim<VectorizedRowBatch> shim,
            Configuration hadoopConfig,
            RowType tableType,
            List<String> partitionKeys,
            PartitionFieldExtractor<SplitT> extractor,
            int[] selectedFields,
            List<OrcFilters.Predicate> conjunctPredicates,
            int batchSize,
            Function<RowType, TypeInformation<RowData>> rowTypeInfoFactory
        );
    
    public TableStats reportStatistics(List<Path> files, DataType producedDataType);
}

public class OrcFilters {
    public static Predicate toOrcPredicate(Expression expression);
    
    public abstract static class Predicate implements Serializable {
        public abstract SearchArgument.Builder add(SearchArgument.Builder builder);
    }
}

public abstract class AbstractOrcColumnVector {
    public static ColumnVector createFlinkVector(org.apache.hadoop.hive.ql.exec.vector.ColumnVector orcVector, LogicalType type);
    public static ColumnVector createFlinkVectorFromConstant(LogicalType type, Object value, int batchSize);
}

// Vectorizer for RowData
public class RowDataVectorizer extends Vectorizer<RowData> {
    public RowDataVectorizer(String schema, LogicalType[] fieldTypes);
    public void vectorize(RowData row, VectorizedRowBatch batch);
}

// Bulk writer implementation
@Internal
public class OrcBulkWriter<T> implements BulkWriter<T> {
    public void addElement(T element) throws IOException;
    public void flush() throws IOException;
    public void finish() throws IOException;
}

// Statistics reporting utility
public class OrcFormatStatisticsReportUtil {
    public static TableStats getTableStatistics(List<Path> files, DataType producedDataType);
    public static TableStats getTableStatistics(List<Path> files, DataType producedDataType, Configuration hadoopConfig);
}

// Configuration wrapper for serialization
public class SerializableHadoopConfigWrapper implements Serializable {
    public SerializableHadoopConfigWrapper(Configuration configuration);
    public Configuration get();
}