MessagePack serializer
MessagePack is an efficient binary serialization format. It lets you exchange data among multiple languages like JSON. But it's faster and smaller. This package provides CPython bindings for reading and writing MessagePack data.
Package name on PyPI was changed from msgpack-python
to msgpack
from 0.5.
When upgrading from msgpack-0.4 or earlier, do pip uninstall msgpack-python
before
pip install -U msgpack
.
You can use use_bin_type=False
option to pack bytes
object into raw type in the old msgpack spec, instead of bin type in new msgpack spec.
You can unpack old msgpack format using raw=True
option.
It unpacks str (raw) type in msgpack into Python bytes.
See note below for detail.
Python 2
msgpack.fallback
) is used for Python 2.Packer
use_bin_type=True
by default. bytes are encoded in bin type in msgpack.
If you are still using Python 2, you must use unicode for all string types.
You can use use_bin_type=False
to encode into old msgpack format.encoding
option is removed. UTF-8 is used always.Unpacker
raw=False
by default. It assumes str types are valid UTF-8 string
and decode them to Python str (unicode) object.encoding
option is removed. You can use raw=True
to support old format.max_buffer_size
is changed from 0 to 100 MiB.strict_map_key
is changed to True to avoid hashdos.
You need to pass strict_map_key=False
if you have data which contain map keys
which type is not bytes or str.$ pip install msgpack
The extension module in msgpack (msgpack._cmsgpack
) does not support
Python 2 and PyPy.
But msgpack provides a pure Python implementation (msgpack.fallback
)
for PyPy and Python 2.
When you can't use a binary distribution, you need to install Visual Studio or Windows SDK on Windows. Without extension, using pure Python implementation on CPython runs slowly.
NOTE: In examples below, I use raw=False
and use_bin_type=True
for users
using msgpack < 1.0. These options are default from msgpack 1.0 so you can omit them.
Use packb
for packing and unpackb
for unpacking.
msgpack provides dumps
and loads
as an alias for compatibility with
json
and pickle
.
pack
and dump
packs to a file-like object.
unpack
and load
unpacks from a file-like object.
>>> import msgpack
>>> msgpack.packb([1, 2, 3], use_bin_type=True)
'\x93\x01\x02\x03'
>>> msgpack.unpackb(_, raw=False)
[1, 2, 3]
unpack
unpacks msgpack's array to Python's list, but can also unpack to tuple:
>>> msgpack.unpackb(b'\x93\x01\x02\x03', use_list=False, raw=False)
(1, 2, 3)
You should always specify the use_list
keyword argument for backward compatibility.
See performance issues relating to use_list option
_ below.
Read the docstring for other options.
Unpacker
is a "streaming unpacker". It unpacks multiple objects from one
stream (or from bytes provided through its feed
method).
import msgpack
from io import BytesIO
buf = BytesIO()
for i in range(100):
buf.write(msgpack.packb(i, use_bin_type=True))
buf.seek(0)
unpacker = msgpack.Unpacker(buf, raw=False)
for unpacked in unpacker:
print(unpacked)
It is also possible to pack/unpack custom data types. Here is an example for
datetime.datetime
.
import datetime
import msgpack
useful_dict = {
"id": 1,
"created": datetime.datetime.now(),
}
def decode_datetime(obj):
if '__datetime__' in obj:
obj = datetime.datetime.strptime(obj["as_str"], "%Y%m%dT%H:%M:%S.%f")
return obj
def encode_datetime(obj):
if isinstance(obj, datetime.datetime):
return {'__datetime__': True, 'as_str': obj.strftime("%Y%m%dT%H:%M:%S.%f")}
return obj
packed_dict = msgpack.packb(useful_dict, default=encode_datetime, use_bin_type=True)
this_dict_again = msgpack.unpackb(packed_dict, object_hook=decode_datetime, raw=False)
Unpacker
's object_hook
callback receives a dict; the
object_pairs_hook
callback may instead be used to receive a list of
key-value pairs.
It is also possible to pack/unpack custom data types using the ext type.
>>> import msgpack
>>> import array
>>> def default(obj):
... if isinstance(obj, array.array) and obj.typecode == 'd':
... return msgpack.ExtType(42, obj.tostring())
... raise TypeError("Unknown type: %r" % (obj,))
...
>>> def ext_hook(code, data):
... if code == 42:
... a = array.array('d')
... a.fromstring(data)
... return a
... return ExtType(code, data)
...
>>> data = array.array('d', [1.2, 3.4])
>>> packed = msgpack.packb(data, default=default, use_bin_type=True)
>>> unpacked = msgpack.unpackb(packed, ext_hook=ext_hook, raw=False)
>>> data == unpacked
True
As an alternative to iteration, Unpacker
objects provide unpack
,
skip
, read_array_header
and read_map_header
methods. The former two
read an entire message from the stream, respectively de-serialising and returning
the result, or ignoring it. The latter two methods return the number of elements
in the upcoming container, so that each element in an array, or key-value pair
in a map, can be unpacked or skipped individually.
Early versions of msgpack didn't distinguish string and binary types. The type for representing both string and binary types was named raw.
You can pack into and unpack from this old spec using use_bin_type=False
and raw=True
options.
>>> import msgpack
>>> msgpack.unpackb(msgpack.packb([b'spam', 'eggs'], use_bin_type=False), raw=True)
[b'spam', b'eggs']
>>> msgpack.unpackb(msgpack.packb([b'spam', 'eggs'], use_bin_type=True), raw=False)
[b'spam', 'eggs']
To use the ext type, pass msgpack.ExtType
object to packer.
>>> import msgpack
>>> packed = msgpack.packb(msgpack.ExtType(42, b'xyzzy'))
>>> msgpack.unpackb(packed)
ExtType(code=42, data='xyzzy')
You can use it with default
and ext_hook
. See below.
To unpacking data received from unreliable source, msgpack provides two security options.
max_buffer_size
(default: 100*1024*1024
) limits the internal buffer size.
It is used to limit the preallocated list size too.
strict_map_key
(default: True
) limits the type of map keys to bytes and str.
While msgpack spec doesn't limit the types of the map keys,
there is a risk of the hashdos.
If you need to support other types for map keys, use strict_map_key=False
.
CPython's GC starts when growing allocated object.
This means unpacking may cause useless GC.
You can use gc.disable()
when unpacking large message.
List is the default sequence type of Python.
But tuple is lighter than list.
You can use use_list=False
while unpacking when performance is important.