ReactiveCaching
- This doc refers to
reactive_caching.rb
.
The ReactiveCaching
concern is used for fetching some data in the background and storing 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 stops being refreshed,
and is removed.
Examples
class Foo < ApplicationRecord
include ReactiveCaching
after_save :clear_reactive_cache!
def calculate_reactive_cache(param1, param2)
# Expensive operation here. The return value of this method is cached
end
def result
# Any arguments can be passed to `with_reactive_cache`. `calculate_reactive_cache`
# will be called with the same arguments.
with_reactive_cache(param1, param2) do |data|
# ...
end
end
end
In this example, the first time #result
is called, it returns nil
. However,
it enqueues a background worker to call #calculate_reactive_cache
and set an
initial cache lifetime of 10 minutes.
How it works
The first time #with_reactive_cache
is called, a background job is enqueued and
with_reactive_cache
returns nil
. The background job calls #calculate_reactive_cache
and stores its return value. It also re-enqueues the background job to run again after
reactive_cache_refresh_interval
. Therefore, it keeps the stored value up to date.
Calculations never run concurrently.
Calling #with_reactive_cache
while a value is cached calls the block given to
#with_reactive_cache
, yielding the cached value. It also extends the lifetime
of the cache by the reactive_cache_lifetime
value.
After the lifetime has expired, no more background jobs are enqueued and calling
#with_reactive_cache
again returns nil
, starting the process all over again.
Set a hard limit for ReactiveCaching
To preserve performance, you should set a hard caching limit in the class that includes
ReactiveCaching
. See the example of how to set it up.
For more information, read the internal issue Redis (or ReactiveCache) soft and hard limits.
When to use
- If we need to make a request to an external API (for example, requests to the k8s API). It is not advisable to keep the application server worker blocked for the duration of the external request.
- If a model needs to perform a lot of database calls or other time consuming calculations.
How to use
In models and integrations
The ReactiveCaching concern can be used in models as well as integrations
(app/models/integrations
).
-
Include the concern in your model or integration.
To include the concern in a model:
include ReactiveCaching
To include the concern in an integration:
include Integrations::ReactivelyCached
-
Implement the
calculate_reactive_cache
method in your model or integration. -
Call
with_reactive_cache
in your model or integration where the cached value is needed. -
Set the
reactive_cache_work_type
accordingly.
In controllers
Controller endpoints that call a model or service method that uses ReactiveCaching
should
not wait until the background worker completes.
- An API that calls a model or service method that uses
ReactiveCaching
should return202 accepted
when the cache is being calculated (when#with_reactive_cache
returnsnil
). - It should also
set the polling interval header with
Gitlab::PollingInterval.set_header
. - The consumer of the API is expected to poll the API.
- You can also consider implementing ETag caching to reduce the server load caused by polling.
Methods to implement in a model or service
These are methods that should be implemented in the model/service that includes ReactiveCaching
.
#calculate_reactive_cache
(required)
- This method must be implemented. Its return value is cached.
- It is called by
ReactiveCaching
when it needs to populate the cache. - Any arguments passed to
with_reactive_cache
are also passed tocalculate_reactive_cache
.
#reactive_cache_updated
(optional)
- This method can be implemented if needed.
- It is called by the
ReactiveCaching
concern whenever the cache is updated. If the cache is being refreshed and the new cache value is the same as the old cache value, this method is not called. It is only called if a new value is stored in the cache. - It can be used to perform an action whenever the cache is updated.
Methods called by a model or service
These are methods provided by ReactiveCaching
and should be called in
the model/service.
#with_reactive_cache
(required)
-
with_reactive_cache
must be called where the result ofcalculate_reactive_cache
is required. -
A block can be given to
with_reactive_cache
.with_reactive_cache
can also take any number of arguments. Any arguments passed towith_reactive_cache
are passed tocalculate_reactive_cache
. The arguments passed towith_reactive_cache
are appended to the cache key name. -
If
with_reactive_cache
is called when the result has already been cached, the block is called, yielding the cached value and the return value of the block is returned bywith_reactive_cache
. It also resets the timeout of the cache to thereactive_cache_lifetime
value. -
If the result has not been cached as yet,
with_reactive_cache
returnnil
. It also enqueues a background job, which callscalculate_reactive_cache
and caches the result. -
After the background job has completed and the result is cached, the next call to
with_reactive_cache
picks up the cached value. -
In the example below,
data
is the cached value which is yielded to the block given towith_reactive_cache
.class Foo < ApplicationRecord include ReactiveCaching def calculate_reactive_cache(param1, param2) # Expensive operation here. The return value of this method is cached end def result with_reactive_cache(param1, param2) do |data| # ... end end end
#clear_reactive_cache!
(optional)
- This method can be called when the cache needs to be expired/cleared. For example,
it can be called in an
after_save
callback in a model so that the cache is cleared after the model is modified. - This method should be called with the same parameters that are passed to
with_reactive_cache
because the parameters are part of the cache key.
#without_reactive_cache
(optional)
- This is a convenience method that can be used for debugging purposes.
- This method calls
calculate_reactive_cache
in the current process instead of in a background worker.
Configurable options
There are some class_attribute
options which can be tweaked.
self.reactive_cache_key
-
The value of this attribute is the prefix to the
data
andalive
cache key names. The parameters passed towith_reactive_cache
form the rest of the cache key names. -
By default, this key uses the model's name and the ID of the record.
self.reactive_cache_key = -> (record) { [model_name.singular, record.id] }
-
The
data
cache key is"ExampleModel:1:arg1:arg2"
andalive
cache keys is"ExampleModel:1:arg1:arg2:alive"
, whereExampleModel
is the name of the model,1
is the ID of the record,arg1
andarg2
are parameters passed towith_reactive_cache
. -
If you're including this concern in an integration (
app/models/integrations/
) instead, you must override the default by adding the following to your integration:self.reactive_cache_key = ->(integration) { [integration.class.model_name.singular, integration.project_id] }
If your
reactive_cache_key
is exactly like the above, you can use the existingIntegrations::ReactivelyCached
concern instead.
self.reactive_cache_lease_timeout
-
ReactiveCaching
usesGitlab::ExclusiveLease
to ensure that the cache calculation is never run concurrently by multiple workers. - This attribute is the timeout for the
Gitlab::ExclusiveLease
. - It defaults to 2 minutes, but can be overridden if a different timeout is required.
self.reactive_cache_lease_timeout = 2.minutes
self.reactive_cache_refresh_interval
- This is the interval at which the cache is refreshed.
- It defaults to 1 minute.
self.reactive_cache_refresh_interval = 1.minute
self.reactive_cache_lifetime
- This is the duration after which the cache is cleared if there are no requests.
- The default is 10 minutes. If there are no requests for this cache value for 10 minutes, the cache expires.
- If the cache value is requested before it expires, the timeout of the cache is
reset to
reactive_cache_lifetime
.
self.reactive_cache_lifetime = 10.minutes
self.reactive_cache_hard_limit
- This is the maximum data size that
ReactiveCaching
allows to be cached. - The default is 1 megabyte. Data that goes over this value is not cached
and silently raises
ReactiveCaching::ExceededReactiveCacheLimit
on Sentry.
self.reactive_cache_hard_limit = 5.megabytes
self.reactive_cache_work_type
- This is the type of work performed by the
calculate_reactive_cache
method. Based on this attribute, it's able to pick the right worker to process the caching job. Make sure to set it as:external_dependency
if the work performs any external request (for example, Kubernetes, Sentry); otherwise set it to:no_dependency
.
self.reactive_cache_worker_finder
-
This is the method used by the background worker to find or generate the object on which
calculate_reactive_cache
can be called. -
By default it uses the model primary key to find the object:
self.reactive_cache_worker_finder = ->(id, *_args) do find_by(primary_key => id) end
-
The default behavior can be overridden by defining a custom
reactive_cache_worker_finder
.class Foo < ApplicationRecord include ReactiveCaching 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(var1, var2) # Expensive operation here. The return value of this method is cached end def result with_reactive_cache("bar1", "bar2") do |data| # ... end end end
- In this example, the primary key ID is passed to
reactive_cache_worker_finder
along with the parameters passed towith_reactive_cache
. - The custom
reactive_cache_worker_finder
calls.from_cache
with the parameters passed towith_reactive_cache
.
- In this example, the primary key ID is passed to