Commit 601cc959 authored by Marcia Ramos's avatar Marcia Ramos

Merge branch 'docs-add-reactive-caching-to-utils' into 'master'

Add ReactiveCaching to developer docs

See merge request gitlab-org/gitlab!19129
parents bb0ec1ce a065b77d
......@@ -184,3 +184,83 @@ class Commit
request_cache(:author) { author_email }
end
```
## `ReactiveCaching`
The `ReactiveCaching` concern is used to fetch some data in the background and
store it in the Rails cache, keeping it up-to-date for as long as it is being
requested. If the data hasn't been requested for `reactive_cache_lifetime`,
it will stop being refreshed, and then be removed.
Example of use:
```ruby
class Foo < ApplicationRecord
include ReactiveCaching
after_save :clear_reactive_cache!
def calculate_reactive_cache
# Expensive operation here. The return value of this method is cached
end
def result
with_reactive_cache do |data|
# ...
end
end
end
```
In this example, the first time `#result` is called, it will return `nil`.
However, it will enqueue a background worker to call `#calculate_reactive_cache`
and set an initial cache lifetime of ten minutes.
The background worker needs to find or generate the object on which
`with_reactive_cache` was called.
The default behaviour can be overridden by defining a custom
`reactive_cache_worker_finder`.
Otherwise, the background worker will use the class name and primary key to get
the object using the ActiveRecord `find_by` method.
```ruby
class Bar
include ReactiveCaching
self.reactive_cache_key = ->() { ["bar", "thing"] }
self.reactive_cache_worker_finder = ->(_id, *args) { from_cache(*args) }
def self.from_cache(var1, var2)
# This method will be called by the background worker with "bar1" and
# "bar2" as arguments.
new(var1, var2)
end
def initialize(var1, var2)
# ...
end
def calculate_reactive_cache
# Expensive operation here. The return value of this method is cached
end
def result
with_reactive_cache("bar1", "bar2") do |data|
# ...
end
end
end
```
Each time the background job completes, it stores the return value of
`#calculate_reactive_cache`. It is also re-enqueued to run again after
`reactive_cache_refresh_interval`, therefore, it will keep the stored value up to date.
Calculations are never run concurrently.
Calling `#result` while a value is cached will call the block given to
`#with_reactive_cache`, yielding the cached value. It will also extend the
lifetime by the `reactive_cache_lifetime` value.
Once the lifetime has expired, no more background jobs will be enqueued and
calling `#result` will again return `nil` - starting the process all over
again.
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