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View Code? Open in Web Editor NEWA F# Library for simplifying access to remote data, with caching and batching
License: MIT License
A F# Library for simplifying access to remote data, with caching and batching
License: MIT License
I'm curious how you might go about implementing a cache function for expensive calculations. I have something that appears to work by using a MapExpr
on blocked requests to set the status of a new cache entry for the calculation but it feels hacky.
Something like this.
let cache<'a> (name: string) (f: Fetch<'a>): Fetch<'a> =
let unFetch env: Result<'a> =
// ...
match DataCache.get identifier env.Cache with
| Some result -> // ...
| None ->
match f.unFetch env with
| Done a -> // ...
| Blocked (blocked, f) ->
let status = FetchResultDefinition NotFetched
DataCache.add identifier status env.Cache
let setStatus (a: 'a) =
(status :>IFetchResult<'a>).SetStatus (FetchSuccess a)
a
Blocked(blocked, MapExpr(setStatus, f))
| FailedWith error -> // ...
Fetch.create unFetch
For some reason, requests will be repeated, and even though they hit the cache, this can seriously degrade performance.
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