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@gosquared/quick-lru-cjs
Advanced tools
Readme
Commonjs compatible fork of https://github.com/sindresorhus/quick-lru
e.g. to build for node 14, switch to node 14 and run npm run build
.
Useful when you need to cache something and limit memory usage.
Inspired by the hashlru
algorithm, but instead uses Map
to support keys of any type, not just strings, and values can be undefined
.
$ npm install quick-lru
import QuickLRU from 'quick-lru';
const lru = new QuickLRU({maxSize: 1000});
lru.set('🦄', '🌈');
lru.has('🦄');
//=> true
lru.get('🦄');
//=> '🌈'
Returns a new instance.
Type: object
Required
Type: number
The maximum number of items before evicting the least recently used items.
Type: number
Default: Infinity
The maximum number of milliseconds an item should remain in cache. By default maxAge will be Infinity, which means that items will never expire.
Lazy expiration happens upon the next write
or read
call.
Individual expiration of an item can be specified by the set(key, value, options)
method.
Optional
Type: (key, value) => void
Called right before an item is evicted from the cache.
Useful for side effects or for items like object URLs that need explicit cleanup (revokeObjectURL
).
The instance is an Iterable
of [key, value]
pairs so you can use it directly in a for…of
loop.
Both key
and value
can be of any type.
Set an item. Returns the instance.
Individual expiration of an item can be specified with the maxAge
option. If not specified, the global maxAge
value will be used in case it is specified on the constructor, otherwise the item will never expire.
Get an item.
Check if an item exists.
Get an item without marking it as recently used.
Delete an item.
Returns true
if the item is removed or false
if the item doesn't exist.
Delete all items.
Update the maxSize
, discarding items as necessary. Insertion order is mostly preserved, though this is not a strong guarantee.
Useful for on-the-fly tuning of cache sizes in live systems.
Iterable for all the keys.
Iterable for all the values.
Iterable for all entries, starting with the oldest (ascending in recency).
Iterable for all entries, starting with the newest (descending in recency).
The stored item count.
FAQs
Simple “Least Recently Used” (LRU) cache
We found that @gosquared/quick-lru-cjs demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 2 open source maintainers collaborating on the project.
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