org.apache.arrow.vector.util.ByteArrayReadableSeekableByteChannel Java Examples

The following examples show how to use org.apache.arrow.vector.util.ByteArrayReadableSeekableByteChannel. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may check out the related API usage on the sidebar.
Example #1
Source File: ArrowUtils.java    From konduit-serving with Apache License 2.0 6 votes vote down vote up 
public static Pair<Schema, ArrowWritableRecordBatch> readFromBytes(byte[] input) throws IOException {
    BufferAllocator allocator = new RootAllocator(9223372036854775807L);
    Schema retSchema = null;
    ArrowWritableRecordBatch ret = null;
    SeekableReadChannel channel = new SeekableReadChannel(new ByteArrayReadableSeekableByteChannel(input));
    ArrowFileReader reader = new ArrowFileReader(channel, allocator);
    reader.loadNextBatch();
    retSchema = toDatavecSchema(reader.getVectorSchemaRoot().getSchema());
    VectorUnloader unloader = new VectorUnloader(reader.getVectorSchemaRoot());
    VectorLoader vectorLoader = new VectorLoader(reader.getVectorSchemaRoot());
    ArrowRecordBatch recordBatch = unloader.getRecordBatch();
    vectorLoader.load(recordBatch);
    ret = asDataVecBatch(recordBatch, retSchema, reader.getVectorSchemaRoot());
    ret.setUnloader(unloader);
    return Pair.of(retSchema, ret);
}
Example #2
Source File: ArrowConverter.java    From DataVec with Apache License 2.0 6 votes vote down vote up 
/**
 * Read a datavec schema and record set
 * from the given bytes (usually expected to be an arrow format file)
 * @param input the input to read
 * @return the associated datavec schema and record
 */
public static Pair<Schema,ArrowWritableRecordBatch> readFromBytes(byte[] input) throws IOException {
    BufferAllocator allocator = new RootAllocator(Long.MAX_VALUE);
    Schema retSchema = null;
    ArrowWritableRecordBatch ret = null;
    SeekableReadChannel channel = new SeekableReadChannel(new ByteArrayReadableSeekableByteChannel(input));
    ArrowFileReader reader = new ArrowFileReader(channel, allocator);
    reader.loadNextBatch();
    retSchema = toDatavecSchema(reader.getVectorSchemaRoot().getSchema());
    //load the batch
    VectorUnloader unloader = new VectorUnloader(reader.getVectorSchemaRoot());
    VectorLoader vectorLoader = new VectorLoader(reader.getVectorSchemaRoot());
    ArrowRecordBatch recordBatch = unloader.getRecordBatch();

    vectorLoader.load(recordBatch);
    ret = asDataVecBatch(recordBatch,retSchema,reader.getVectorSchemaRoot());
    ret.setUnloader(unloader);

    return Pair.of(retSchema,ret);

}
Example #3
Source File: ArrowConverter.java    From deeplearning4j with Apache License 2.0 6 votes vote down vote up 
/**
 * Read a datavec schema and record set
 * from the given bytes (usually expected to be an arrow format file)
 * @param input the input to read
 * @return the associated datavec schema and record
 */
public static Pair<Schema,ArrowWritableRecordBatch> readFromBytes(byte[] input) throws IOException {
    BufferAllocator allocator = new RootAllocator(Long.MAX_VALUE);
    Schema retSchema = null;
    ArrowWritableRecordBatch ret = null;
    SeekableReadChannel channel = new SeekableReadChannel(new ByteArrayReadableSeekableByteChannel(input));
    ArrowFileReader reader = new ArrowFileReader(channel, allocator);
    reader.loadNextBatch();
    retSchema = toDatavecSchema(reader.getVectorSchemaRoot().getSchema());
    //load the batch
    VectorUnloader unloader = new VectorUnloader(reader.getVectorSchemaRoot());
    VectorLoader vectorLoader = new VectorLoader(reader.getVectorSchemaRoot());
    ArrowRecordBatch recordBatch = unloader.getRecordBatch();

    vectorLoader.load(recordBatch);
    ret = asDataVecBatch(recordBatch,retSchema,reader.getVectorSchemaRoot());
    ret.setUnloader(unloader);

    return Pair.of(retSchema,ret);

}