kombu/docs/userguide/serialization.rst

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.. _guide-serialization:
===============
Serialization
===============
.. _serializers:
Serializers
===========
By default every message is encoded using `JSON`_, so sending
Python data structures like dictionaries and lists works.
`YAML`_, `msgpack`_ and Python's built-in `pickle` module is also supported,
and if needed you can register any custom serialization scheme you
want to use.
By default Kombu will only load JSON messages, so if you want
to use other serialization format you must explicitly enable
them in your consumer by using the ``accept`` argument:
.. code-block:: python
Consumer(conn, [queue], accept=['json', 'pickle', 'msgpack'])
The accept argument can also include MIME-types.
.. _`JSON`: http://www.json.org/
.. _`YAML`: http://yaml.org/
.. _`msgpack`: http://msgpack.sourceforge.net/
Each option has its advantages and disadvantages.
`json` -- JSON is supported in many programming languages, is now
a standard part of Python (since 2.6), and is fairly fast to
decode using the modern Python libraries such as `cjson` or
`simplejson`.
The primary disadvantage to `JSON` is that it limits you to
the following data types: strings, Unicode, floats, boolean,
dictionaries, and lists. Decimals and dates are notably missing.
Also, binary data will be transferred using Base64 encoding, which
will cause the transferred data to be around 34% larger than an
encoding which supports native binary types.
However, if your data fits inside the above constraints and
you need cross-language support, the default setting of `JSON`
is probably your best choice.
`pickle` -- If you have no desire to support any language other than
Python, then using the `pickle` encoding will gain you
the support of all built-in Python data types (except class instances),
smaller messages when sending binary files, and a slight speedup
over `JSON` processing.
.. admonition:: Pickle and Security
The pickle format is very convenient as it can serialize
and deserialize almost any object, but this is also a concern
for security.
Carefully crafted pickle payloads can do almost anything
a regular Python program can do, so if you let your consumer
automatically decode pickled objects you must make sure
to limit access to the broker so that untrusted
parties do not have the ability to send messages!
By default Kombu uses pickle protocol 2, but this can be changed
using the :envvar:`PICKLE_PROTOCOL` environment variable or by changing
the global :data:`kombu.serialization.pickle_protocol` flag.
`yaml` -- YAML has many of the same characteristics as `json`,
except that it natively supports more data types (including dates,
recursive references, etc.)
However, the Python libraries for YAML are a good bit slower
than the libraries for JSON.
If you need a more expressive set of data types and need to maintain
cross-language compatibility, then `YAML` may be a better fit
than the above.
To instruct `Kombu` to use an alternate serialization method,
use one of the following options.
1. Set the serialization option on a per-producer basis::
>>> producer = Producer(channel,
... exchange=exchange,
... serializer="yaml")
2. Set the serialization option per message::
>>> producer.publish(message, routing_key=rkey,
... serializer="pickle")
Note that a `Consumer` do not need the serialization method specified.
They can auto-detect the serialization method as the
content-type is sent as a message header.
.. _sending-raw-data:
Sending raw data without Serialization
======================================
In some cases, you don't need your message data to be serialized. If you
pass in a plain string or Unicode object as your message, then `Kombu` will
not waste cycles serializing/deserializing the data.
You can optionally specify a `content_type` and `content_encoding`
for the raw data::
>>> with open("~/my_picture.jpg", "rb") as fh:
... producer.publish(fh.read(),
content_type="image/jpeg",
content_encoding="binary",
routing_key=rkey)
The `Message` object returned by the `Consumer` class will have a
`content_type` and `content_encoding` attribute.
.. _serialization-entrypoints:
Creating extensions using Setuptools entry-points
=================================================
A package can also register new serializers using Setuptools
entry-points.
The entry-point must provide the name of the serializer along
with the path to a tuple providing the rest of the args:
``decoder_function, encoder_function, content_type, content_encoding``.
An example entrypoint could be:
.. code-block:: python
from setuptools import setup
setup(
entry_points={
'kombu.serializers': [
'my_serializer = my_module.serializer:register_args'
]
}
)
Then the module ``my_module.serializer`` would look like:
.. code-block:: python
register_args = (my_decoder, my_encoder, 'application/x-mimetype', 'utf-8')
When this package is installed the new 'my_serializer' serializer will be
supported by Kombu.
.. admonition:: Buffer Objects
The decoder function of custom serializer must support both strings
and Python's old-style buffer objects.
Python pickle and json modules usually don't do this via its ``loads``
function, but you can easily add support by making a wrapper around the
``load`` function that takes file objects instead of strings.
Here's an example wrapping :func:`pickle.loads` in such a way:
.. code-block:: python
import pickle
from kombu.serialization import BytesIO, register
def loads(s):
return pickle.load(BytesIO(s))
register('my_pickle', loads, pickle.dumps,
content_type='application/x-pickle2',
content_encoding='binary')