Use cases of BonsaiDb
Single database model (No networking)
This use case is most similar to utilizing SQLite for your database. In this mode, BonsaiDb directly interacts with files on your disk to provide your database. Unlike other file-based databases, however, it's easy to migrate to any of these scenarios from this starting position:
graph LR code{{Rust Code}} local[(bonsaidb-local::Database)] code <--> local
A working example of how to use a local database can be found at examples/basic-local/examples/basic-local.rs
.
Multi-database model (No networking)
This model is most similar to using multiple SQLite databases. In this mode, you interact with a Storage
that you spawn within your code.
graph LR code{{Rust Code}} local[(bonsaidb-local::Storage)] code <--> server server <--> local
If you look at the source behind Database::open_local
, you'll see that the single-database model is using Storage
under the hood.
Server model (QUIC or WebSockets)
This model is most similar to using other document databases, like CouchDB or MongoDB. In this mode, you interact with a Client
that connects via either QUIC or WebSockets with a server. From the server code's perspective, this model is the same as the multi-database model, except that the server is listening for and responding to network traffic.
graph LR client-code{{Rust Client Code}} server-code{{Rust Server Code}} client[[bonsaidb-client]] server[[bonsaidb-server]] local[(bonsaidb-local)] client-code <--> client client <-. network .-> server server <--> local server-code <--> server
A working example of this model can be found at examples/basic-server/examples/basic-server.rs
. When writing client/server applications that utilize BonsaiDb, you can have the BonsaiDb server running within your server application. This means that your server still has the ability not use networking to interact with BonsaiDb. Regardless of if you run any other server code, your BonsaiDb server will be accessible through a Client
over the network.
API Platform model (QUIC or WebSockets)
If you're finding yourself developing an API for your application, and all of the consumers of this API are already connected to BonsaiDb, you may want to take advantage of the custom api functionality of the server:
graph LR client-code{{Rust Client Code}} server-code{{Rust Server Code}} client[[bonsaidb-client]] server[[bonsaidb-server]] backend[[Backend]] local[(bonsaidb-local)] client-code <--> client client <-. network .-> server server <--> local server-code <--> server server-code <--> backend backend <--> server
The BonsaiDb CustomServer
type accepts one generic parameter that implements the Backend
trait. This trait is used to customize the server in many ways, but one of the associated types is a Api
implementor.
See this page for an overview of how to set up a custom api server.
Coming Later: Cluster model
When you're at the stage of scaling beyond a single server, you will be able to upgrade your server to a cluster using the hypothetical bonsaidb-cluster
crate. The clustering model is still being designed, but the goal is something similar to:
graph LR client-code{{Rust Client Code}} server-code{{Rust Server Code}} client[[bonsaidb-client]] server1[[server 1]] server2[[server 2]] server3[[server 3]] cluster[[bonsaidb-cluster]] client-code <--> client client <-. network .-> cluster server-code <--> cluster cluster <--> server1 cluster <--> server2 cluster <--> server3 server1 <--> server2 server2 <--> server3 server1 <--> server3
In this model, the local storage element is hidden; Each server has its own storage. This model is very similar from the viewpoint of your server and client code -- the primary difference is that the server-side connection is being established using the cluster crate. From the client's perspective, the cluster behaves as a single entity -- sending a request to any server node will result in the same result within the cluster.
All features of BonsaiDb will be designed to work in cluster mode seamlessly. PubSub
will ensure that subscribers will receive messages regardless of which server they're connected to.