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Async caching lets you serve slightly-stale data immediately while generating an up-to-date version in the background.

This provides a Ruby implementation of the async caching strategy (detailed below). It works with both Sidekiq (recommended) and ActiveJob systems. Usage examples are provided below and in the examples directory.


Add the gem to your Gemfile:

gem 'async_cache'

Then set up a store and fetch from it:

# (in config/initializers/async_cache.rb)
  backend: Rails.cache,
  worker:  :active_job

# (in app/controllers/things_controller.rb)
def show
  # Then use it to do some heavy lifting asychronously
  id      = params[:id]
  key     = "thing/#{id}"
  version =

  json = ASYNC_CACHE.fetch(key, version, arguments: [id]) do |id|

  render body: json, content_type: 'application/json'

For additional examples see the examples directory.


Async-cache provides a generic ActiveJob worker as well as a specialized Sidekiq worker (see the workers directory). The ActiveJob worker should work out of the box is most cases. The Sidekiq worker provides special deduplication functionality which should significantly reduce the queue size/worker process load for high-traffic sites.


Async-cache follows a straightforward strategy for determining which action to take when a cache entry is fetched:

  • If no entry is present it synchronously generates the entry, writes it to the cache, and returns it.
  • If an old version of the entry is present it enqueues an asynchronous job to refresh the entry and returns the old version.
  • If an up-to-date version of the entry is present it serves that.

The implementation includes a few nuances to the strategy: such as checking if workers are running and allowing clients to specify that it should always synchronously-regenerate (useful in things like CMSes where you always want to immediately render the latest version to the user editing it).

Cache Structure

Async-caching requires a different cache structure than traditional caching.

In traditional caching—here using Rails idioms—the cache for the model "Thing" would look like the following:

  • A cache key, such as things/123-20151210063911000000000, where the key is comprised of the name of the model, the ID of the instance in question, and the last-modified time (updated_at) as an integer
  • A cache value containing the actual rendered data for that model instance

In async-caching the cache must be comprised of three parts:

  • A cache locator, such as things/123
  • A version, such as 20151210063911000000000 (using the last-modified time works perfectly for this)
  • The cache value

The locator must be constant in async-caching so that we can always retrieve a cache record (version and value) for the given locator. The cache record is then not just a value, but also has the metadata of the version which describes which version-of-the-locator the value applies to. By having this version metadata we're able to determine whether the cache is up-to-date or out-of-date.


The following is a simplified example of how values would be cached in Rails in the traditional and async structures:

value = compute_some_expensive_value

# Traditional
key = "things/#{}-#{thing.updated_at.to_i}"

Rails.cache.write key, value

# Async
locator = "things/#{}"
version = thing.updated_at.to_i

Rails.cache.write key, [version, value]


Released under the MIT license, see LICENSE for details.


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