Bicycle 🚲

Bicycle 🚲 is a framework for defining database schemas whose access patterns are generated as code and compiled into each server binary.

We're striving to reduce dynamic query parsing at run time.

Why the name?

"What a computer is to me is it's the most remarkable tool that we've ever come up with, and it's the equivalent of a bicycle for our minds" - Steve Jobs

The Bicycle is a metaphor for useful complexity, and one of the most influential inventions in history. It is also an interesting analogy for the anatomy of the framework:

• Wheels (transport): gRPC
• Frame (storage engine): RocksDB
• Pedals, gears, handlebars, breaks, etc. (logic): Rust

Usage

A Bicycle schema is defined in a simple .proto file like so:

// schema.proto
syntax = "proto3";
package bicycle;

message Dog {
  string pk = 1;

  string name = 2;
  uint32 age = 3;
  string breed = 4;
}

We don't distribute the binary yet but if you clone down this repository you can play around with it:

## clone
git clone git@github.com:ordinarylabs/bicycle.git && cd bicycle

## generate your `./out/server` and `./out/bicycle.proto`
cargo run -- create schema.proto

## (feel free to edit the `schema.proto`, locally, as your "playground")

That will create a server binary and proto file for your consuming services. So in the out/ you'll have server and bicycle.proto.

Now, the bicycle.proto can be used to codegen the client in any language.

Running

Once RocksDB is finally done building, you should be able to run the server with:

./out/server

Clients

When you run the create command, it will take in your schema.proto and produce an ./out/bicycle.proto that looks something like this:

syntax = "proto3";
package bicycle;

message Dogs { 
  repeated Dog dogs = 1; 
}
message Dog {
  string pk = 1;
  string name = 2;
  uint32 age = 3;
  string breed = 4;
}

message IndexQuery {
  oneof expression {
    string eq = 1;
    string gte = 2;
    string lte = 3;
    string begins_with = 4;
  }
}

message Empty {}

service Bicycle {
  rpc GetDogsByPk(IndexQuery) returns (Dogs) {}
  rpc DeleteDogsByPk(IndexQuery) returns (Empty) {}
  rpc PutDog(Dog) returns (Empty) {}
  rpc BatchPutDogs(Dogs) returns (Empty) {}
}

Because the database server is just a gRPC server, you can use all native gRPC libraries for any language you like. and you can also roll over to your preferred gRPC GUI client, type in localhost::50051, AND because we implement server reflection, when you plug in the URL it will automatically load up all your available RPCs (assuming your client GUI supports that).

Example

Basically we have 4 RPCs for each model:

• GetXByPk
• DeleteXByPk
• PutX
• BatchPutX

And then you have the IndexQuery helper which basically allows you to do key-range queries.

Here are the really basic examples:

## PutDog
grpcurl -plaintext -d '{
  "pk": "DOG#1",
  "name": "Rover",
  "age": 3,
  "breed": "Golden Retriever"
}' localhost:50051 bicycle.Bicycle.PutDog

## BatchPutDogs
grpcurl -plaintext -d '{
  "dogs": [
    {
      "pk": "DOG#2",
      "name": "Buddy",
      "age": 2,
      "breed": "Labrador"
    },
    {
      "pk": "DOG#3",
      "name": "Max",
      "age": 4,
      "breed": "Poodle"
    }
  ]
}' localhost:50051 bicycle.Bicycle.BatchPutDogs

## GetDogs
grpcurl -plaintext -d '{"begins_with": "DOG#"}' localhost:50051 bicycle.Bicycle.GetDogsByPk

## DeleteDogs
grpcurl -plaintext -d '{"eq": "DOG#3"}' localhost:50051 bicycle.Bicycle.DeleteDogsByPk

Contributing

there isn't really a thing right now. it's kinda just one person rn with a few others maybe joining. we gotta set up a CLA or something i think. but check back in.