I have a project running Ember@3.20. We are currently in the process of migrating from classic to glimmer based components and have come across some expensive computational patterns which would benefit from caching.
My question is, what is the best approach to caching functionality to getters for glimmer components? It looks like there are currently a few ways to do this:
Any additional insight/guidelines into how expensive a getter should be to warrant it being cached? For example, preventing re-renders seems a fairly obvious use case but there can be a wide range of what developers might consider an "expensive" computation.
There are two categories of things here:
@cached
decorators.In the vast majority of Ember or Glimmer app or normal library code, you’ll just be using the decorator. You’d only ever really reach for the caching primitives if you were building some low-level library code yourself (not never, but not exactly common, either).
As for the @cached
decorators, they have basically the same semantics. The tracked-toolbox version was research that fed into the the development of the primitive that Glimmer ships (and Ember uses), and so ember-cached-decorator-polyfill
is implemented using the actual public API—polyfilling it via ember-cache-primitive-polyfill
if necessary.
In terms of the performance characteristics, you don’t even actually need to think about it in terms of preventing re-renders: that’s not how the system works anyway. (See this blog post I wrote last year (2020) for a deep dive on how re-rendering gets scheduled in Ember and Glimmer using the autotracking concepts.) It’s also worth remembering that caching is not free! So it’s not as simple as “this thing costs something, so I should cache it”—the caching has to pay for itself to be worth it, and it costs both memory use and CPU time to create and to check caches.
With that caveat firmly in mind, I tend to think of “expense” here in the following categories:
In a lot of normal app code, the only getters you’ll really need to decorate with @cached
are getters which produce API calls based on the components’ arguments. Since the getter will otherwise be invoked every time it is referenced, you will end up with multiple API calls, which can produce a situation where the apparent state in the UI flips back and forth as references to different promises resolve.