On Thu, Feb 18, 2010 at 3:12 PM, Jeremy Dunck <jdu...@gmail.com> wrote:
> On Thu, Feb 18, 2010 at 1:34 PM, ramu...@gmail.com <ramu...@gmail.com> wrote:
>> Does anyone know why django can't keep a data bigger, than 1 mb in
>> memcached ?
>>
>> This is no big deal to cut big data to 1mb pieces before setting and
>> merge this pieces after getting from memcached. And this algorithm can
>> work transparently for users.
>
> I think Ramusus is asking for the low-level caching framework to split
> serialized data into 1MB chunks before storing in a bunch of keys if
> the data is larger than 1MB.
>
> He's not asking why there's a limit, he's asking for Django to work
> around the limit.
>
> I think the general reasoning for a 1MB limit is that it places bounds
> on access/storage times for a given key, and avoids an antipattern of
> storing really large objects in cache.  I've wished for special-case
> side-stepping of the 1MB limit before myself, but I'd hate for it to
> be the default.
>
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>

I don't see how that would be possible, sure storing it would be easy,
but how do you retrieve it?  Either you have to always try the
"part-2" key (unreasonable overhead fro 99% of the use cases) or you
have to store a tuple of (blocks, data) in the first slot, that's not
a huge runtime overhead, but it feels like a large code-complexity
overhead for a very rare usecase (I had no idea memcached even had
these limits, and I use it pretty extensively).

Alex

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