abstract class Cache[-Key, +Error, +Value] extends AnyRef
A Cache
is defined in terms of a lookup function that, given a key of
type Key
, can either fail with an error of type Error
or succeed with a
value of type Value
. Getting a value from the cache will either return
the previous result of the lookup function if it is available or else
compute a new result with the lookup function, put it in the cache, and
return it.
A cache also has a specified capacity and time to live. When the cache is at capacity the least recently accessed values in the cache will be removed to make room for new values. Getting a value with a life older than the specified time to live will result in a new value being computed with the lookup function and returned when available.
The cache is safe for concurrent access. If multiple fibers attempt to get the same key the lookup function will only be computed once and the result will be returned to all fibers.
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- new Cache()
Abstract Value Members
- abstract def cacheStats: UIO[CacheStats]
Returns statistics for this cache.
- abstract def contains(key: Key): UIO[Boolean]
Returns whether a value associated with the specified key exists in the cache.
- abstract def entryStats(key: Key): UIO[Option[EntryStats]]
Returns statistics for the specified entry.
- abstract def get(key: Key): IO[Error, Value]
Retrieves the value associated with the specified key if it exists.
Retrieves the value associated with the specified key if it exists. Otherwise computes the value with the lookup function, puts it in the cache, and returns it.
- abstract def invalidate(key: Key): UIO[Unit]
Invalidates the value associated with the specified key.
- abstract def invalidateAll: UIO[Unit]
Invalidates all values in the cache.
- abstract def refresh(key: Key): IO[Error, Unit]
Computes the value associated with the specified key, with the lookup function, and puts it in the cache.
Computes the value associated with the specified key, with the lookup function, and puts it in the cache. The difference between this and
get
method is thatrefresh
triggers (re)computation of the value without invalidating it in the cache, so any request to the associated key can still be served while the value is being re-computed/retrieved by the lookup function. Additionally,refresh
always triggers the lookup function, disregarding the lastError
. - abstract def size: UIO[Int]
Returns the approximate number of values in the cache.
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