exar...@twistedmatrix.com wrote:
> On 02:48 pm, m...@egenix.com wrote:
>> exar...@twistedmatrix.com wrote:
>>> On 03:17 pm, pengyu...@gmail.com wrote:
>>>> Hi,
>>>>
>>>> If I define my own class and use pickle to serialize the objects in
>>>> this class, will the serialized object be successfully read in later
>>>> version of python.
>>>>
>>>> What if I serialize (using pickle) an object of a class defined in
>>>> python library, will it be successfully read in later version of
>>>> python?
>>>
>>> Sometimes.  Sometimes not.  Python doesn't really offer any guarantees
>>> regarding this.
>>
>> I think this needs to be corrected: the pickle protocol versions are
>> compatible between Python releases, however, there are two things to
>> consider:
>>
>> * The default pickle version sometimes changes between minor
>>   releases.
>>
>>   This is easy to handle, though, since you can provide the pickle
>>   protocol version as parameter.
>>
>> * The pickle protocol has changed a bit between 2.x and 3.x.
>>
>>   This is mostly due to the fact that Python's native string
>>   format changed to Unicode in 3.x.
> 
> The pickle protocol isn't the only thing that determines whether an
> existing pickle can be loaded.  Consider this very simple example of a
> class which might exist in Python 2.x:
>
> [...changes to baseclasses and __init__ arguments...]
>
> So these are the kinds of things I am talking about when I say that
> there aren't really any guarantees.

True, there's no guarantee that pickle can work out your code changes.
I think that's a bit much to expect from a serialization protocol :-)

I was only talking about the data storage format itself, ie. whether
it's possible to pickle the data in Python 2.n and load it again
in 2.n+m without code changes.

Even with code changes, you can still work-around many issues by
implementing a proper .__setstate__() method in your class and
using a class .version attribute to detect older pickles.

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