msgpack-python/README.md

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# MessagePack for Python
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## What's this
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[MessagePack](https://msgpack.org/) 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.
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## Install
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```
$ pip install msgpack
```
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### Pure Python implementation
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The extension module in msgpack (`msgpack._cmsgpack`) does not support PyPy.
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But msgpack provides a pure Python implementation (`msgpack.fallback`) for PyPy.
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### Windows
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When you can't use a binary distribution, you need to install Visual Studio
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or Windows SDK on Windows.
Without extension, using pure Python implementation on CPython runs slowly.
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## How to use
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### One-shot pack & unpack
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Use `packb` for packing and `unpackb` for unpacking.
msgpack provides `dumps` and `loads` as an alias for compatibility with
`json` and `pickle`.
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`pack` and `dump` packs to a file-like object.
`unpack` and `load` unpacks from a file-like object.
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```pycon
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>>> import msgpack
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>>> msgpack.packb([1, 2, 3])
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'\x93\x01\x02\x03'
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>>> msgpack.unpackb(_)
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[1, 2, 3]
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```
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`unpack` unpacks msgpack's array to Python's list, but can also unpack to tuple:
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```pycon
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>>> msgpack.unpackb(b'\x93\x01\x02\x03', use_list=False)
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(1, 2, 3)
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```
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You should always specify the `use_list` keyword argument for backward compatibility.
See performance issues relating to `use_list option`_ below.
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Read the docstring for other options.
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### Streaming unpacking
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`Unpacker` is a "streaming unpacker". It unpacks multiple objects from one
stream (or from bytes provided through its `feed` method).
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```py
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import msgpack
from io import BytesIO
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buf = BytesIO()
for i in range(100):
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buf.write(msgpack.packb(i))
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buf.seek(0)
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unpacker = msgpack.Unpacker(buf)
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for unpacked in unpacker:
print(unpacked)
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```
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### Packing/unpacking of custom data type
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It is also possible to pack/unpack custom data types. Here is an example for
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`datetime.datetime`.
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```py
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import datetime
import msgpack
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useful_dict = {
"id": 1,
"created": datetime.datetime.now(),
}
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def decode_datetime(obj):
if '__datetime__' in obj:
obj = datetime.datetime.strptime(obj["as_str"], "%Y%m%dT%H:%M:%S.%f")
return obj
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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
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packed_dict = msgpack.packb(useful_dict, default=encode_datetime)
this_dict_again = msgpack.unpackb(packed_dict, object_hook=decode_datetime)
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```
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`Unpacker`'s `object_hook` callback receives a dict; the
`object_pairs_hook` callback may instead be used to receive a list of
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key-value pairs.
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### Extended types
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It is also possible to pack/unpack custom data types using the **ext** type.
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```pycon
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>>> 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])
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>>> packed = msgpack.packb(data, default=default)
>>> unpacked = msgpack.unpackb(packed, ext_hook=ext_hook)
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>>> data == unpacked
True
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```
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### Advanced unpacking control
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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.
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## Notes
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### string and binary type in old msgpack spec
Early versions of msgpack didn't distinguish string and binary types.
The type for representing both string and binary types was named **raw**.
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You can pack into and unpack from this old spec using `use_bin_type=False`
and `raw=True` options.
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```pycon
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>>> import msgpack
>>> msgpack.unpackb(msgpack.packb([b'spam', 'eggs'], use_bin_type=False), raw=True)
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[b'spam', b'eggs']
>>> msgpack.unpackb(msgpack.packb([b'spam', 'eggs'], use_bin_type=True), raw=False)
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[b'spam', 'eggs']
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```
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### ext type
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To use the **ext** type, pass `msgpack.ExtType` object to packer.
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```pycon
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>>> import msgpack
>>> packed = msgpack.packb(msgpack.ExtType(42, b'xyzzy'))
>>> msgpack.unpackb(packed)
ExtType(code=42, data='xyzzy')
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```
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You can use it with `default` and `ext_hook`. See below.
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### Security
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To unpacking data received from unreliable source, msgpack provides
two security options.
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`max_buffer_size` (default: `100*1024*1024`) limits the internal buffer size.
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It is used to limit the preallocated list size too.
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`strict_map_key` (default: `True`) limits the type of map keys to bytes and str.
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While msgpack spec doesn't limit the types of the map keys,
there is a risk of the hashdos.
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If you need to support other types for map keys, use `strict_map_key=False`.
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### Performance tips
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CPython's GC starts when growing allocated object.
This means unpacking may cause useless GC.
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You can use `gc.disable()` when unpacking large message.
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List is the default sequence type of Python.
But tuple is lighter than list.
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You can use `use_list=False` while unpacking when performance is important.
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## Major breaking changes in the history
### msgpack 0.5
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`.
### msgpack 1.0
* Python 2 support
* The extension module does not support Python 2 anymore.
The pure Python implementation (`msgpack.fallback`) is used for Python 2.
* msgpack 1.0.6 drops official support of Python 2.7, as pip and
GitHub Action (setup-python) no longer support Python 2.7.
* Packer
* Packer uses `use_bin_type=True` by default.
Bytes are encoded in bin type in msgpack.
* The `encoding` option is removed. UTF-8 is used always.
* Unpacker
* Unpacker uses `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 (e.g. unpack into bytes, not str).
* Default value of `max_buffer_size` is changed from 0 to 100 MiB to avoid DoS attack.
You need to pass `max_buffer_size=0` if you have large but safe data.
* Default value of `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.