Loading and serializing models in bulk with caching.
Separate the loading/serialization of resources from their protocol (http/json, avro, xml).
We want to improve api response time by loading the minimum amount of data needed to check cache keys. If we miss, we want to optimally load our data, serialize it, cache it and then return it.
Version | Result |
---|---|
2.6.6 | ✔️ |
2.5.8 | ✔️ |
2.4.10 | ✔️ |
2.3.8 | ✔️ |
2.2.10 | ✔️ |
Say we have a simple api action:
def index
# find our records
projects = Project.includes(issues: :comments).first(10)
render json: projects, each_serializer: ProjectSerializer
end
How do we cache this?
class ProjectSerializer < ActiveModel::Serializer
cached
end
def index
projects = Project.includes(issues: :comments).first(10)
render json: projects, each_serializer: ProjectSerializer
end
There are 2 problems with this approach:
- We're making 3 sql calls every time regardless of what keys are required for checking the cache
- We're making 10 cache fetch requests
We can fix this by fetching the bare minimum amount of data needed to check the cache, checking the cache in bulk, then loading the data needed in an optimized fashion for cache misses only.
This gem's goal is to abstract all that logic into a testable, declarative model that can improve your api's response time. We also want to return serializable data so that we decouple the definition of a resource from its protocols (not locked to json or xml)
An Autobots::Assembler
is the core of the autobots
gem. The input for an autobot is that you provide an array of objects needed to build your cache keys. The output is an array of serializable data that corresponds to the input set (retaining order).
When trying to render a resource for an API, we have 3 parts:
- Fetching data
- Figuring out the data to return
- Format it for the protocol
Each of these methods corresponds to a single lifecycle method of an autobot:
assemble
transform
roll_out
An assembler
can optionally load whatever data is required to build it's cache keys. The assembler's job is to fetch all data needed for serialization as optimally as possible. The identifiers should be the minimum amount of data needed to fetch data and determine caching.
class ProjectAssembler < Autobots::Assembler
# assembles the base objects needed for cache key generation
def assemble(identifiers)
Project.where(id: identifiers).to_a
end
end
project_ids = [1,2,3]
assembler = ProjectAssembler.new(project_ids)
# returns preloaded objects for serialization
objects = assembler.objects
The transform lifecycle event is called with every object that needs refreshing. It allows us to to optimize our loading of nested resources by using bulk loading. If caching is enabled, we only need to run this on resources that missed the cache. We may not even need to run it at all!
An example of this would be using ActiveRecord::Associations::Preloader
to fetch included records if necessary:
class ProjectAssembler < Autobots::Assembler
def transform(resources)
ActiveRecord::Associations::Preloader.new().preload(resources, {issues: :comments})
end
end
Since this is a fairly common pattern, I created the Autobots::ActiveRecordAssembler
that has this default behavior:
class ProjectAssembler < Autobots::ActiveRecordAssembler
self.preloads = {issues: :comments}
end
The strength of this model lies in minimizing data fetch requests when building our data to serialize. We do this by delaying the loading of nested models and only load them if we have to.
If a resources's cache is up to date, we shouldn't have to fetch it's dependencies from the database. However, if we have a cache miss, we want to optimally load the data needed.
We use the active_model_serializers
gem to accomplish serialization. An assembler declares the type of serializer used to specify the data returned
class ProjectAssembler < Autobots::Assembler
self.serializer = ProjectSerializer # an ActiveModel::Serializer
end
# returns an array of data for serialization
data = assembler.data
The default behavior of an assembler is to wrap each object with the declared serializer and returning its serializable_hash.
autobots
gem only handles the loading and representation of the data.
We can get large performance boosts by caching our serializable data. Caching is straight forward:
class ProjectAssembler < Autobots::Assembler
# some sort of ActiveSupport::CacheStore
self.cache = Rails.cache
end
Alternatively, you can set the cache on an instance:
# some sort of ActiveSupport::CacheStore
cache = Rails.cache
assembler = ProjectAssembler.new(project_ids, cache: cache)
The cache store must implement read_multi
as we use bulk_cache_fetcher
gem
By default, we use each resource's cache_key
implementation. You can provide your own cache key generator by passing in a cache_key proc:
assembler = ProjectAssembler.new(project_ids, {
cache: cache,
cache_key: -> (obj, assembler) {
"#{obj.cache_key}-foo"
}
})
If you want to wipe the old cache and force a reload, you can pass in the :force_reload option
assembler = ProjectAssembler.new(project_ids, {
cache: cache,
force_reload: true
})
- Fork it ( https://github.com/chingor13/autobots/fork )
- Create your feature branch (
git checkout -b my-new-feature
) - Commit your changes (
git commit -am 'Add some feature'
) - Push to the branch (
git push origin my-new-feature
) - Create a new Pull Request