.. _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')