Serialize and split

distributed/protocol/core.py

@@ -6,18 +6,15 @@
 
 from .compression import compressions, maybe_compress, decompress
 from .serialize import (
-    serialize,
-    deserialize,
     Serialize,
     Serialized,
     extract_serialize,
     msgpack_decode_default,
     msgpack_encode_default,
+    merge_and_deserialize,
+    serialize_and_split,
 )
-from .utils import frame_split_size, merge_frames, msgpack_opts
-from ..utils import is_writeable, nbytes
-
-_deserialize = deserialize
+from .utils import msgpack_opts
 
 
 logger = logging.getLogger(__name__)
@@ -48,7 +45,7 @@ def dumps(msg, serializers=None, on_error="message", context=None):
         }
 
         data = {
-            key: serialize(
+            key: serialize_and_split(
                 value.data, serializers=serializers, on_error=on_error, context=context
             )
             for key, value in data.items()
@@ -60,39 +57,23 @@ def dumps(msg, serializers=None, on_error="message", context=None):
         out_frames = []
 
         for key, (head, frames) in data.items():
-            if "writeable" not in head:
-                head["writeable"] = tuple(map(is_writeable, frames))
-            if "lengths" not in head:
-                head["lengths"] = tuple(map(nbytes, frames))
-
             # Compress frames that are not yet compressed
             out_compression = []
-            _out_frames = []
             for frame, compression in zip(
                 frames, head.get("compression") or [None] * len(frames)
             ):
-                if compression is None:  # default behavior
-                    _frames = frame_split_size(frame)
-                    _compression, _frames = zip(
-                        *[maybe_compress(frame, **compress_opts) for frame in _frames]
-                    )
-                    out_compression.extend(_compression)
-                    _out_frames.extend(_frames)
-                else:  # already specified, so pass
-                    out_compression.append(compression)
-                    _out_frames.append(frame)
+                if compression is None:
+                    compression, frame = maybe_compress(frame, **compress_opts)
+
+                out_compression.append(compression)
+                out_frames.append(frame)
 
             head["compression"] = out_compression
-            head["count"] = len(_out_frames)
+            head["count"] = len(frames)
             header["headers"][key] = head
             header["keys"].append(key)
-            out_frames.extend(_out_frames)
 
         for key, (head, frames) in pre.items():
-            if "writeable" not in head:
-                head["writeable"] = tuple(map(is_writeable, frames))
-            if "lengths" not in head:
-                head["lengths"] = tuple(map(nbytes, frames))
             head["count"] = len(frames)
             header["headers"][key] = head
             header["keys"].append(key)
@@ -146,9 +127,7 @@ def loads(frames, deserialize=True, deserializers=None):
             if deserialize or key in bytestrings:
                 if "compression" in head:
                     fs = decompress(head, fs)
-                if not any(hasattr(f, "__cuda_array_interface__") for f in fs):
-                    fs = merge_frames(head, fs)
-                value = _deserialize(head, fs, deserializers=deserializers)
+                value = merge_and_deserialize(head, fs, deserializers=deserializers)
             else:
                 value = Serialized(head, fs)
 

distributed/protocol/cupy.py

@@ -22,7 +22,6 @@ def cuda_serialize_cupy_ndarray(x):
 
     header = x.__cuda_array_interface__.copy()
     header["strides"] = tuple(x.strides)
-    header["lengths"] = [x.nbytes]
     frames = [
         cupy.ndarray(
             shape=(x.nbytes,), dtype=cupy.dtype("u1"), memptr=x.data, strides=(1,)
@@ -47,7 +46,6 @@ def cuda_deserialize_cupy_ndarray(header, frames):
 @dask_serialize.register(cupy.ndarray)
 def dask_serialize_cupy_ndarray(x):
     header, frames = cuda_serialize_cupy_ndarray(x)
-    header["writeable"] = (None,) * len(frames)
     frames = [memoryview(cupy.asnumpy(f)) for f in frames]
     return header, frames
 

distributed/protocol/numba.py

@@ -23,7 +23,6 @@ def cuda_serialize_numba_ndarray(x):
 
     header = x.__cuda_array_interface__.copy()
     header["strides"] = tuple(x.strides)
-    header["lengths"] = [x.nbytes]
     frames = [
         numba.cuda.cudadrv.devicearray.DeviceNDArray(
             shape=(x.nbytes,), strides=(1,), dtype=np.dtype("u1"), gpu_data=x.gpu_data
@@ -51,7 +50,6 @@ def cuda_deserialize_numba_ndarray(header, frames):
 @dask_serialize.register(numba.cuda.devicearray.DeviceNDArray)
 def dask_serialize_numba_ndarray(x):
     header, frames = cuda_serialize_numba_ndarray(x)
-    header["writeable"] = (None,) * len(frames)
     frames = [memoryview(f.copy_to_host()) for f in frames]
     return header, frames
 

distributed/protocol/numpy.py

@@ -4,7 +4,7 @@
 from .serialize import dask_serialize, dask_deserialize
 from . import pickle
 
-from ..utils import log_errors, nbytes
+from ..utils import log_errors
 
 
 def itemsize(dt):
@@ -29,7 +29,6 @@ def serialize_numpy_ndarray(x, context=None):
             buffer_callback=buffer_callback,
             protocol=(context or {}).get("pickle-protocol", None),
         )
-        header["lengths"] = tuple(map(nbytes, frames))
         return header, frames
 
     # We cannot blindly pickle the dtype as some may fail pickling,
@@ -93,15 +92,17 @@ def serialize_numpy_ndarray(x, context=None):
         # "ValueError: cannot include dtype 'M' in a buffer"
         data = data.view("u%d" % math.gcd(x.dtype.itemsize, 8)).data
 
-    header = {"dtype": dt, "shape": x.shape, "strides": strides}
+    header = {
+        "dtype": dt,
+        "shape": x.shape,
+        "strides": strides,
+        "writeable": [x.flags.writeable],
+    }
 
     if broadcast_to is not None:
         header["broadcast_to"] = broadcast_to
 
     frames = [data]
-
-    header["lengths"] = [x.nbytes]
-
     return header, frames
 
 
@@ -112,6 +113,7 @@ def deserialize_numpy_ndarray(header, frames):
             return pickle.loads(frames[0], buffers=frames[1:])
 
         (frame,) = frames
+        (writeable,) = header["writeable"]
 
         is_custom, dt = header["dtype"]
         if is_custom:
@@ -125,6 +127,10 @@ def deserialize_numpy_ndarray(header, frames):
             shape = header["shape"]
 
         x = np.ndarray(shape, dtype=dt, buffer=frame, strides=header["strides"])
+        if not writeable:
+            x.flags.writeable = False
+        else:
+            x = np.require(x, requirements=["W"])
 
         return x
 

distributed/protocol/rmm.py

@@ -13,7 +13,6 @@
     def cuda_serialize_rmm_device_buffer(x):
         header = x.__cuda_array_interface__.copy()
         header["strides"] = (1,)
-        header["lengths"] = [x.nbytes]
         frames = [x]
         return header, frames
 
@@ -31,7 +30,6 @@ def cuda_deserialize_rmm_device_buffer(header, frames):
     @dask_serialize.register(rmm.DeviceBuffer)
     def dask_serialize_rmm_device_buffer(x):
         header, frames = cuda_serialize_rmm_device_buffer(x)
-        header["writeable"] = (None,) * len(frames)
         frames = [numba.cuda.as_cuda_array(f).copy_to_host().data for f in frames]
         return header, frames
 

distributed/protocol/serialize.py

@@ -10,13 +10,12 @@
 import msgpack
 
 from . import pickle
-from ..utils import has_keyword, nbytes, typename, ensure_bytes, is_writeable
+from ..utils import has_keyword, typename, ensure_bytes
 from .compression import maybe_compress, decompress
 from .utils import (
     unpack_frames,
     pack_frames_prelude,
     frame_split_size,
-    merge_frames,
     msgpack_opts,
 )
 
@@ -30,7 +29,7 @@
 
 
 def dask_dumps(x, context=None):
-    """Serialise object using the class-based registry"""
+    """Serialize object using the class-based registry"""
     type_name = typename(type(x))
     try:
         dumps = dask_serialize.dispatch(type(x))
@@ -54,19 +53,30 @@ def dask_loads(header, frames):
 
 
 def pickle_dumps(x, context=None):
-    header = {"serializer": "pickle"}
     frames = [None]
     buffer_callback = lambda f: frames.append(memoryview(f))
     frames[0] = pickle.dumps(
         x,
         buffer_callback=buffer_callback,
         protocol=context.get("pickle-protocol", None) if context else None,
     )
+    header = {
+        "serializer": "pickle",
+        "writeable": tuple(not f.readonly for f in frames[1:]),
+    }
     return header, frames
 
 
 def pickle_loads(header, frames):
     x, buffers = frames[0], frames[1:]
+    writeable = header["writeable"]
+    for i in range(len(buffers)):
+        mv = memoryview(buffers[i])
+        if writeable[i] == mv.readonly:
+            if mv.readonly:
+                buffers[i] = memoryview(bytearray(mv)).cast(mv.format, mv.shape)
+            else:
+                buffers[i] = memoryview(bytes(mv)).cast(mv.format, mv.shape)
     return pickle.loads(x, buffers=buffers)
 
 
@@ -374,6 +384,72 @@ def deserialize(header, frames, deserializers=None):
     return loads(header, frames)
 
 
+def serialize_and_split(x, serializers=None, on_error="message", context=None):
+    """Serialize and split compressable frames
+
+    This function is a drop-in replacement of `serialize()` that calls `serialize()`
+    followed by `frame_split_size()` on frames that should be compressed.
+
+    Use `merge_and_deserialize()` to merge and deserialize the frames back.
+
+    See Also
+    --------
+    serialize
+    merge_and_deserialize
+    """
+    header, frames = serialize(x, serializers, on_error, context)
+    num_sub_frames = []
+    offsets = []
+    out_frames = []
+    out_compression = []
+    for frame, compression in zip(
+        frames, header.get("compression") or [None] * len(frames)
+    ):
+        if compression is None:  # default behavior
+            sub_frames = frame_split_size(frame)
+            num_sub_frames.append(len(sub_frames))
+            offsets.append(len(out_frames))
+            out_frames.extend(sub_frames)
+            out_compression.extend([None] * len(sub_frames))
+        else:
+            num_sub_frames.append(1)
+            offsets.append(len(out_frames))
+            out_frames.append(frame)
+            out_compression.append(compression)
+    assert len(out_compression) == len(out_frames)
+
+    # Notice, in order to match msgpack's implicit convertion to tuples,
+    # we convert to tuples here as well.
+    header["split-num-sub-frames"] = tuple(num_sub_frames)
+    header["split-offsets"] = tuple(offsets)
+    header["compression"] = tuple(out_compression)
+    return header, out_frames
+
+
+def merge_and_deserialize(header, frames, deserializers=None):
+    """Merge and deserialize frames
+
+    This function is a drop-in replacement of `deserialize()` that merges
+    frames that were split by `serialize_and_split()`
+
+    See Also
+    --------
+    deserialize
+    serialize_and_split
+    """
+    merged_frames = []
+    if "split-num-sub-frames" not in header:
+        merged_frames = frames
+    else:
+        for n, offset in zip(header["split-num-sub-frames"], header["split-offsets"]):
+            if n == 1:
+                merged_frames.append(frames[offset])
+            else:
+                merged_frames.append(bytearray().join(frames[offset : offset + n]))
+
+    return deserialize(header, merged_frames, deserializers=deserializers)
+
+
 class Serialize:
     """Mark an object that should be serialized
 
@@ -534,13 +610,8 @@ def replace_inner(x):
 
 
 def serialize_bytelist(x, **kwargs):
-    header, frames = serialize(x, **kwargs)
-    if "writeable" not in header:
-        header["writeable"] = tuple(map(is_writeable, frames))
-    if "lengths" not in header:
-        header["lengths"] = tuple(map(nbytes, frames))
+    header, frames = serialize_and_split(x, **kwargs)
     if frames:
-        frames = sum(map(frame_split_size, frames), [])
         compression, frames = zip(*map(maybe_compress, frames))
     else:
         compression = []
@@ -566,8 +637,7 @@ def deserialize_bytes(b):
     else:
         header = {}
     frames = decompress(header, frames)
-    frames = merge_frames(header, frames)
-    return deserialize(header, frames)
+    return merge_and_deserialize(header, frames)
 
 
 ################################

distributed/protocol/tests/test_numpy.py

@@ -278,12 +278,6 @@ def test_compression_takes_advantage_of_itemsize():
     assert sum(map(nbytes, aa)) < sum(map(nbytes, bb))
 
 
-def test_large_numpy_array():
-    x = np.ones((100000000,), dtype="u4")
-    header, frames = serialize(x)
-    assert sum(header["lengths"]) == sum(map(nbytes, frames))
-
-
 @pytest.mark.parametrize(
     "x",
     [