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Copy pathserialize.h
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136 lines (116 loc) · 4.06 KB
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// Licensed to the Apache Software Foundation (ASF) under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing,
// software distributed under the License is distributed on an
// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
// KIND, either express or implied. See the License for the
// specific language governing permissions and limitations
// under the License.
#ifndef ARROW_PYTHON_PYTHON_TO_ARROW_H
#define ARROW_PYTHON_PYTHON_TO_ARROW_H
#include <memory>
#include <vector>
#include "arrow/python/visibility.h"
#include "arrow/status.h"
// Forward declaring PyObject, see
// https://mail.python.org/pipermail/python-dev/2003-August/037601.html
#ifndef PyObject_HEAD
struct _object;
typedef _object PyObject;
#endif
namespace arrow {
class Buffer;
class DataType;
class MemoryPool;
class RecordBatch;
class Tensor;
namespace io {
class OutputStream;
} // namespace io
namespace py {
struct ARROW_PYTHON_EXPORT SerializedPyObject {
std::shared_ptr<RecordBatch> batch;
std::vector<std::shared_ptr<Tensor>> tensors;
std::vector<std::shared_ptr<Tensor>> ndarrays;
std::vector<std::shared_ptr<Buffer>> buffers;
/// \brief Write serialized Python object to OutputStream
/// \param[in,out] dst an OutputStream
/// \return Status
Status WriteTo(io::OutputStream* dst);
/// \brief Convert SerializedPyObject to a dict containing the message
/// components as Buffer instances with minimal memory allocation
///
/// {
/// 'num_tensors': N,
/// 'num_buffers': K,
/// 'data': [Buffer]
/// }
///
/// Each tensor is written as two buffers, one for the metadata and one for
/// the body. Therefore, the number of buffers in 'data' is 2 * N + K + 1,
/// with the first buffer containing the serialized record batch containing
/// the UnionArray that describes the whole object
Status GetComponents(MemoryPool* pool, PyObject** out);
};
/// \brief Serialize Python sequence as a SerializedPyObject.
/// \param[in] context Serialization context which contains custom serialization
/// and deserialization callbacks. Can be any Python object with a
/// _serialize_callback method for serialization and a _deserialize_callback
/// method for deserialization. If context is None, no custom serialization
/// will be attempted.
/// \param[in] sequence A Python sequence object to serialize to Arrow data
/// structures
/// \param[out] out The serialized representation
/// \return Status
///
/// Release GIL before calling
ARROW_PYTHON_EXPORT
Status SerializeObject(PyObject* context, PyObject* sequence, SerializedPyObject* out);
/// \brief Serialize an Arrow Tensor as a SerializedPyObject.
/// \param[in] tensor Tensor to be serialized
/// \param[out] out The serialized representation
/// \return Status
ARROW_PYTHON_EXPORT
Status SerializeTensor(std::shared_ptr<Tensor> tensor, py::SerializedPyObject* out);
/// \brief Write the Tensor metadata header to an OutputStream.
/// \param[in] dtype DataType of the Tensor
/// \param[in] shape The shape of the tensor
/// \param[in] tensor_num_bytes The lengh of the Tensor data in bytes
/// \param[in] dst The OutputStream to write the Tensor header to
/// \return Status
ARROW_PYTHON_EXPORT
Status WriteNdarrayHeader(std::shared_ptr<DataType> dtype,
const std::vector<int64_t>& shape, int64_t tensor_num_bytes,
io::OutputStream* dst);
struct PythonType {
enum type {
BOOL,
INT,
PY2INT,
BYTES,
STRING,
HALF_FLOAT,
FLOAT,
DOUBLE,
DATE64,
LIST,
DICT,
TUPLE,
SET,
TENSOR,
NDARRAY,
BUFFER,
NUM_PYTHON_TYPES
};
};
} // namespace py
} // namespace arrow
#endif // ARROW_PYTHON_PYTHON_TO_ARROW_H