[issue35723] Add "time zone index" cache to datetime objects

Paul Ganssle report at bugs.python.org
Mon Jan 14 08:59:12 EST 2019


Paul Ganssle <p.ganssle at gmail.com> added the comment:

> I dislike adding a public API for an optimization. Would it be possible to make it private? Would it make sense? tzidx => _tzidx.

This also would have been my preference, but it is unfortunately not possible because of the way tzinfo works. tzinfo is an abstract base class, which means that any changes to how `tzinfo` subclasses work *must* be implemented by the third party time zone providers. The tzidx() method is intended to be called *only* from `tzinfo` an optional feature, as such it must be public.

Maybe a better option would be to make it a magic method, to indicate that it is public but not intended to be called directly by users? `__tzidx__` or `__tzcache__`?


> In test of your PR, tzinfo allocates memory for its cache: 

>            offsets = [timedelta(hours=0), timedelta(hours=1)]
>            names = ['+00:00', '+01:00']
>            dsts = [timedelta(hours=0), timedelta(hours=1)]

>This memory isn't free. I don't see how using an index completely prevents the need to allocate memory for a cache.

That part is not free, but that's also not a cache, it's the underlying data for the tzinfo and is not modified over the object's lifetime. Most `tzinfo` subclasses are *already* implemented like this in one way or another, for example `dateutil.tz.tzfile` reads one of the binary tzdata files and produces a list of `ttinfo` objects, then looks up which one applies for each datetime.

The cache part of this is that *that lookup* is expensive, but also super easy to cache. In pytz this cache comes for free, because instead of using a list of offsets and figuring out which one to apply when you call `utcoffset()`, pytz creates a list of `tzinfo` objects with *fixed* offsets and eagerly attaches one to a datetime when you call `pytz.timezone.localize()/normalize()`. It's using the `tzinfo` field as a cache, but at the cost of breaking time zone semantics (which unfortunately use `is` to determine whether two datetimes are in the same zone or not), plus the cost of requiring *eager* resolution to this question rather than lazy.

> Somehow, we need a method to clear the cache and decide a caching policy. The simplest policy is to have no limit. The re.compile() uses a cache of 512 entries. functools.lru_cache uses a default limit of 128 entries.

This is not necessary, actually, because of the way this cache works. This is a "write-once" cache *stored on the datetime itself*, and its cost is built in to the memory cost of the datetime itself. For CPython it will currently consume one of the alignment bytes, so there will be no additional memory use.

> Instead of adding a new API, would it be possible to reuse functools.lru_cache somehow?

If it were possible to use an LRU cache in this situation, it would not be necessary to make a change in CPython at all. The problem with LRU cache or any other cache implemented as a mapping between datetime -> offset are as I mentioned, large memory use and the performance cost of creating an appropriate hash would greatly reduce the utility of this function. The proposed tzidx lets tzinfo implementers opt in to nearly all the advantages of pytz without any of the disadvantages.

>> 2. Because the implementation of datetime.__hash__ invokes utcoffset(), it is impossible to implement utcoffset in terms of a dictionary of tz-aware datetimes. This means that you need to construct a new, naive datetime, which is a fairly slow operation and really puts a damper in the utility of the cache.

> For special local timezones, would it be possible to explicitly exclude them, and restrict the cache the simple timespace (fixed offset)?

I think there are many problems with this approach, but I'm going to hold off on answering this, because I think even if this were possible, an on-datetime cache makes much more sense than a mapping-based cache. If you still want this addressed given my other arguments let me know and I can give you a more thorough response.

Thank you for taking the time to review my proposal, Victor. I realize that it is a bit of a wall of text accompanying a pretty big PR, which is kinda the result of the fact that I had this idea 6+ months ago and I've been privately reworking and refining it (both in a code sandbox and in my head) for some time now, only to dump out the results of all my internal arguments all at once. I appreciate the feedback and I'm happy to do whatever possible to clarify my reasoning.

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<https://bugs.python.org/issue35723>
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