# Mentat

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Provides a super simple cache with ttls.

## Usage

A cache must be given a name when its started.

Mentat.start_link(name: :my_cache)

After its been started you can store and retrieve values:

Mentat.put(:my_cache, user_id, user)
user = Mentat.get(:my_cache, user_id)

## TTLs

Both `put` and `fetch` operations allow you to specify the key's TTL. If no
TTL is provided then the TTL is set to `:infinity`. TTL times are always
in milliseconds.

Mentat.put(:my_cache, :key, "value", [ttl: 5_000])

Mentat.fetch(:my_cache, :key, [ttl: 5_000], fn key ->
  {:commit, "value"}

### Default TTLs

You can set a global TTL for all new keys

## Limits

Mentat supports optional limits per cache.

Mentat.start_link(name: LimitedCache, limit: [size: 100])

When the limit is reached, the janitor will asynchronously reclaim a percentage of the keys.

## Telemetry

Mentat publishes multiple telemetry events.

  * `[:mentat, :get]` - executed after retrieving a value from the cache.
    Measurements are:

    * `:status` - Can be either `:hit` or `:miss` depending on if the key was
      found in the cache.

    Metadata are:

      * `:key` - The key requested
      * `:cache` - The cache name

  * `[:mentat, :put]` - executed when putting a key into the cache. No
    measurements are provided.

    Metadata are:

      * `:key` - The key requested
      * `:cache` - The name of the cache

  * `[:mentat, :janitor, :cleanup]` - executed after old keys are cleaned
    from the cache. Measurements are:

    * `:duration` - the time it took to clean up the old keys. Time is
      in `:native` units.
    * `total_removed_keys` - The count of keys removed from the cache.

    Metadata are:

      * `cache` - The cache name.

## Installation

def deps do
    {:mentat, "~> 0.5"}

## Should I use this?

There are (many) other caching libraries out there that provide many more features
than Mentat. But, it turns out, I don't need most of those features. Mentat is
intended to be very small while still providing the necessary components. The
test suite is sparse, but we've been using this implementation in production
for a while now so I feel pretty confident in it.