- Geo is a requirement in the definition of done
- Nomenclature
- Geo Domain-Specific Language
- Existing Replicator Strategies
Geo self-service framework
#g_geo
on Slack
or mention @geo-team
in the issue or merge request.Geo provides an API to make it possible to easily replicate data types across Geo sites. This API is presented as a Ruby Domain-Specific Language (DSL) and aims to make it possible to replicate data with minimal effort of the engineer who created a data type.
Geo is a requirement in the definition of done
Geo is the GitLab solution for disaster recovery. A robust disaster recovery solution must replicate all GitLab data such that all GitLab services can be successfully restored in their entirety with minimal data loss in the event of a disaster.
For this reason, Geo replication and verification support for GitLab generated data is part of the definition of done. This ensures that new features ship with Geo support and our customers are not exposed to data loss.
Adding Geo support with the Self Service Framework (SSF) is easy and outlined in detail on this page for various types of data. However, for a more general guide that can help you decide if and how you need to add Geo support for a new GitLab feature, you may start here.
Nomenclature
Before digging into the API, developers need to know some Geo-specific naming conventions:
-
Model: A model is an Active Model, which is how it is known in the entire Rails codebase. It usually is tied to a database table. From Geo perspective, a model can have one or more resources.
-
Resource: A resource is a piece of data that belongs to a model and is produced by a GitLab feature. It is persisted using a storage mechanism. By default, a resource is not a Geo replicable.
-
Data type:
Data type is how a resource is stored. Each resource should
fit in one of the data types Geo supports:
- Git repository
- Blob
- Database
For more detail, see Data types.
-
Geo Replicable: A Replicable is a resource Geo wants to sync across Geo sites. There is a limited set of supported data types of replicables. The effort required to implement replication of a resource that belongs to one of the known data types is minimal.
-
Geo Replicator:
A Geo Replicator is the object that knows how to replicate a
replicable. It’s responsible for:
- Firing events (producer)
- Consuming events (consumer)
It’s tied to the Geo Replicable data type. All replicators have a common interface that can be used to process (that is, produce and consume) events. It takes care of the communication between the primary site (where events are produced) and the secondary site (where events are consumed). The engineer who wants to incorporate Geo in their feature uses the API of replicators to make this happen.
- Geo Domain-Specific Language: The syntactic sugar that allows engineers to easily specify which resources should be replicated and how.
Geo Domain-Specific Language
The replicator
First of all, you need to write a replicator. The replicators live in
ee/app/replicators/geo
.
For each resource that needs to be replicated, there should be a
separate replicator specified, even if multiple resources are tied to
the same model.
For example, the following replicator replicates a package file:
module Geo
class PackageFileReplicator < Gitlab::Geo::Replicator
# Include one of the strategies your resource needs
include ::Geo::BlobReplicatorStrategy
# Specify the CarrierWave uploader needed by the used strategy
def carrierwave_uploader
model_record.file
end
# Specify the model this replicator belongs to
def self.model
::Packages::PackageFile
end
end
end
The class name should be unique. It also is tightly coupled to the
table name for the registry, so for this example the registry table
is package_file_registry
.
For the different data types Geo supports there are different strategies to include. Pick one that fits your needs.
Linking to a model
To tie this replicator to the model, you need to add the following to the model code:
class Packages::PackageFile < ApplicationRecord
include ::Geo::ReplicableModel
with_replicator Geo::PackageFileReplicator
end
API
When this is set in place, it’s easy to access the replicator through the model:
package_file = Packages::PackageFile.find(4) # just a random ID as example
replicator = package_file.replicator
Or get the model back from the replicator:
replicator.model_record
=> <Packages::PackageFile id:4>
The replicator can be used to generate events, for example in
ActiveRecord
hooks:
after_create_commit -> { replicator.publish_created_event }
Library
The framework behind all this is located in
ee/lib/gitlab/geo/
.
Existing Replicator Strategies
Before writing a new kind of Replicator Strategy, check below to see if your resource can already be handled by one of the existing strategies. Consult with the Geo team if you are unsure.
Blob Replicator Strategy
Models that use CarrierWave’s Uploader::Base
are supported by Geo with the Geo::BlobReplicatorStrategy
module. For example, see how Geo replication was implemented for Pipeline Artifacts.
Each file is expected to have its own primary ID and model. Geo strongly recommends treating every single file as a first-class citizen, because in our experience this greatly simplifies tracking replication and verification state.
To implement Geo replication of a new blob-type Model, open an issue with the provided issue template.
To view the implementation steps without opening an issue, view the issue template file.
Repository Replicator Strategy
Models that refer to any Git repository on disk are supported by Geo with the Geo::RepositoryReplicatorStrategy
module. For example, see how Geo replication was implemented for Group-level Wikis. Note that this issue does not implement verification, since verification of Git repositories was not yet added to the Geo self-service framework. An example implementing verification can be found in the merge request to Add Snippet repository verification.
Each Git repository is expected to have its own primary ID and model.
To implement Geo replication of a new Git repository-type Model, open an issue with the provided issue template.
To view the implementation steps without opening an issue, view the issue template file.