For now, I'm doing it with a secret feature flag, since I want to be
committing but it isn't all quite working yet!
Search works right, and the appearance data is getting returned, but I
don't have the Apollo Cache integrations yet, which we rely on more
than I remembered!
Also, alt styles will crash it for now!
`is:np` now means "is not NC and is not PB".
Note that it might be good to make NC and PB explicitly mutually
exclusive too? It would complicate queries though, and not matter in
most cases… the Burlap Usul Bow is the only item that we currently
return for `is:pb is:nc`, which is probably because of a rarity issue?
Preparing to finally move wardrobe-2020's item search to use the main
app's API endpoints instead!
One blocker I forgot about here: Impress 2020 has actual support for
knowing an item's true appearance, like by reading the manifest and
stuff, that we haven't really ported over. I feel like maybe I should
pause and work on the changes to manifest-archiving that I'd been
planning anyway? I'll think about it.
Like in 0dca538, this is preliminary work for being able to drop the
`zone_translations` table! We're copying the field over first, to be
able to migrate DTI 2020 safely before dropping anything.
Non-English languages haven't been supported on Neopets for a while, so
I'd like to remove this extra cross-cutting complexity, especially
since it's now inconsistent with the real site anyway!
The main motivation is that I'd like to do this for items too, because
I have a hunch that all the complexity of `globalize` to read
`item.name` is part of what's making large user lists so slow to
render: lots of little objects getting created down the stack, and
needing to be garbage-collected later.
I'm not sure that's why! But I figure removing this complexity is a
simplicity win anyway, so let's do it!
Note that this doesn't *finish* the migration, it just starts it! The
`Species::Translation` and `Color::Translation` models still exist, and
still have their data, and not all references to them are scrubbed yet.
I especially don't want to delete the backing tables until both DTI and
DTI 2020 are ready for it!
So this change will someday be paired with another change to actually
drop the tables - after backing up the data for future records just in
case, of course!
We used to do this for weird clever caching tricks that I don't think
were actually very effective. We stopped using this a few months ago,
and now I'm finally cleaning up this supporting code!
lmao I keep forgetting things! note that the negative case of this filter, like the negative case of `fits`, is currently broken because Rails changed the default SQL mode and I didn't notice! We'll need to add a `database.yml` file and set `sql_mode: TRADITIONAL`.
Huh! This cache key seemed to only be referenced in checks and expirations, but was never actually used! So I guess we've been loading the modeling predictions every time for a while huh??
We'll get smarter about that someday, but anyway, that lets us delete our Item resque tasks and ItemObserver!
Again I'm just not convinced of the perf on this, and it enables us to delete some whole infra over it, we can improve it another time if it's useful to!
Just removing some caching and the expiration of it! There's still more superfluous(?) caching on the item page to audit, but these seem a bit more sensible about avoiding loading extra data.
In the interest of clearing out Resque, I'm just gonna remove a lot of our more complex caching stuff, and we can do a perf pass for things like big item list pages once everything's upgraded. (I'm hopeful that the upgrades themselves improve perf; and if not, that some improved sensibilities 10 years later can find simpler approaches.)
We uninstalled Flex, our Elasticsearch gem, to replace item search with direct DB queries; but I forgot these calls, oops!
I also kinda want to see about deleting the resque tasks altogether, since I'm not sure how to get Resque installed on latest rails bc there seems to be a conflict over the version of Rack? And it'd be nice to get rid of the complexity if we can.
Not doing the tricks with `is_positive` anymore, instead just calling different functions altogether at the call site.
Also, instead of classes, I feel like this is a lot more concise to just write as class methods that create certain instances of a trivial `Filter` data class. Without the tricks of `is_positive` in play, the value of classes goes way down imo.
The "fits:8-bit-chomby" search filter was being read as color=8, species=bit.
Now, we split from the right-hand side of the filter instead.
Still a problem for anyone who explicitly types the Spanish/Portuguese
ordering of "fits:chomby-8-bits", but I'm okay with this cheap fix, since
I bet literally nobody has done that in the past month, if ever :P
We used get_multi when preparing the proxies to decide which to
load from the database, but then sent multiple get requests to
Memcache to re-fetch the same data from that get_multi. Silly!
Use the data that's already stored on the proxy anyway.
Some lame benchmarking on my box, dev, cache classes, many items:
No proxies:
Fresh JSON: 175, 90, 90, 93, 82, 88, 158, 150, 85, 167 = 117.8
Cached JSON: (none)
Fresh HTML: 371, 327, 355, 328, 322, 346 = 341.5
Cached HTML: 173, 123, 175, 187, 171, 179 = 168
Proxies:
Fresh JSON: 175, 183, 269, 219, 195, 178 = 203.17
Cached JSON: 88, 70, 89, 162, 80, 77 = 94.3
Fresh HTML: 494, 381, 350, 334, 451, 372 = 397
Cached HTML: 176, 170, 104, 101, 111, 116 = 129.7
So, overhead is significant, but the gains when cached (and that should be
all the time, since we currently have 0 evictions) are definitely worth
it. Worth pushing, and probably putting some future effort into reducing
overhead.
On production (again, lame), items#index was consistently averaging
73-74ms when super healthy, and 82ms when pets#index was being louder
than usual. For reference is all. This will probably perform
significantly worse at first (in JSON, anyway, since HTML is already
mostly cached), so it might be worth briefly warming the cache after
pushing.
That is, once we get our list of IDs from the search engine, only
fetch records whose JSON we don't already have cached.
It's simpler here to use as_json, but it'd probably be even faster
if I figure out how to serve a plain JSON string from a Rails
controller. In the meantime, requests of entirely cached items
are coming in at about 85ms on average on my box (dev, cache
classes, many items), about 10ms better than the last
iteration.
