It assumes that you have read the [Getting started](https://github.com/grpc/grpc-common) guide and are familiar with [protocol buffers] (https://developers.google.com/protocol-buffers/docs/overview). Note that the example in this tutorial uses the proto3 version of the protocol buffers language, which is currently in alpha release:you can find out more in the [proto3 language guide](https://developers.google.com/protocol-buffers/docs/proto3) and see the [release notes](https://github.com/google/protobuf/releases) for the new version in the protocol buffers Github repository.
This isn't a comprehensive guide to using gRPC in Ruby: more reference documentation is coming soon.
## Why use gRPC?
Our example is a simple route mapping application that lets clients get information about features on their route, create a summary of their route, and exchange route information such as traffic updates with the server and other clients.
With gRPC we can define our service once in a .proto file and implement clients and servers in any of gRPC's supported languages, which in turn can be run in environments ranging from servers inside Google to your own tablet - all the complexity of communication between different languages and environments is handled for you by gRPC. We also get all the advantages of working with protocol buffers, including efficient serialization, a simple IDL, and easy interface updating.
## Example code and setup
The example code for our tutorial is in [grpc/grpc-common/ruby/route_guide](https://github.com/grpc/grpc-common/tree/master/ruby/route_guide). To download the example, clone the `grpc-common` repository by running the following command:
Then change your current directory to `grpc-common/ruby/route_guide`:
```shell
$ cd grpc-common/ruby/route_guide
```
You also should have the relevant tools installed to generate the server and client interface code - if you don't already, follow the setup instructions in [the Ruby quick start guide](https://github.com/grpc/grpc-common/tree/master/ruby).
## Defining the service
Our first step (as you'll know from [Getting started](https://github.com/grpc/grpc-common)) is to define the gRPC *service* and the method *request* and *response* types using [protocol buffers] (https://developers.google.com/protocol-buffers/docs/overview). You can see the complete .proto file in [`grpc-common/protos/route_guide.proto`](https://github.com/grpc/grpc-common/blob/master/protos/route_guide.proto).
To define a service, you specify a named `service` in your .proto file:
Then you define `rpc` methods inside your service definition, specifying their request and response types. gRPC lets you define four kinds of service method, all of which are used in the `RouteGuide` service:
- A *simple RPC* where the client sends a request to the server using the stub and waits for a response to come back, just like a normal function call.
- A *server-side streaming RPC* where the client sends a request to the server and gets a stream to read a sequence of messages back. The client reads from the returned stream until there are no more messages. As you can see in our example, you specify a server-side streaming method by placing the `stream` keyword before the *response* type.
- A *client-side streaming RPC* where the client writes a sequence of messages and sends them to the server, again using a provided stream. Once the client has finished writing the messages, it waits for the server to read them all and return its response. You specify a server-side streaming method by placing the `stream` keyword before the *request* type.
- A *bidirectional streaming RPC* where both sides send a sequence of messages using a read-write stream. The two streams operate independently, so clients and servers can read and write in whatever order they like: for example, the server could wait to receive all the client messages before writing its responses, or it could alternately read a message then write a message, or some other combination of reads and writes. The order of messages in each stream is preserved. You specify this type of method by placing the `stream` keyword before both the request and the response.
Our .proto file also contains protocol buffer message type definitions for all the request and response types used in our service methods - for example, here's the `Point` message type:
// Points are represented as latitude-longitude pairs in the E7 representation
// (degrees multiplied by 10**7 and rounded to the nearest integer).
// Latitudes should be in the range +/- 90 degrees and longitude should be in
// the range +/- 180 degrees (inclusive).
message Point {
int32 latitude = 1;
int32 longitude = 2;
}
```
## Generating client and server code
Next we need to generate the gRPC client and server interfaces from our .proto service definition. We do this using the protocol buffer compiler `protoc` with a special gRPC Ruby plugin.
If you want to run this yourself, make sure you've installed protoc and followed the gRPC Ruby plugin [installation instructions](https://github.com/grpc/grpc/blob/master/INSTALL) first):
Once that's done, the following command can be used to generate the ruby code.
- a class `Stub` that can be used to access remote RouteGuide instances
<aname="server"></a>
## Creating the server
First let's look at how we create a `RouteGuide` server. If you're only interested in creating gRPC clients, you can skip this section and go straight to [Creating the client](#client) (though you might find it interesting anyway!).
There are two parts to making our `RouteGuide` service do its job:
- Implementing the service interface generated from our service definition: doing the actual "work" of our service.
- Running a gRPC server to listen for requests from clients and return the service responses.
You can find our example `RouteGuide` server in [grpc-common/ruby/route_guide/route_guide_server.rb](https://github.com/grpc/grpc-common/blob/master/ruby/route_guide/route_guide_server.rb). Let's take a closer look at how it works.
### Implementing RouteGuide
As you can see, our server has a `ServerImpl` class that extends the generated `RouteGuide::Service`:
```ruby
# ServerImpl provides an implementation of the RouteGuide service.
class ServerImpl <RouteGuide::Service
```
`ServerImpl` implements all our service methods. Let's look at the simplest type first, `GetFeature`, which just gets a `Point` from the client and returns the corresponding feature information from its database in a `Feature`.
The method is passed a _call for the RPC, the client's `Point` protocol buffer request, and returns a `Feature` protocol buffer. In the method we create the `Feature` with the appropriate information, and then `return` it.
Now let's look at something a bit more complicated - a streaming RPC. `ListFeatures` is a server-side streaming RPC, so we need to send back multiple `Feature`s to our client.
As you can see, here the request object is a `Rectangle` in which our client wants to find `Feature`s, but instead of returning a simple response we need to return an [Enumerator](http://ruby-doc.org//core-2.2.0/Enumerator.html) that yields the responses. In the method, we use a helper class `RectangleEnum`, to act as an Enumerator implementation.
Similarly, the client-side streaming method `record_route` uses an [Enumerable](http://ruby-doc.org//core-2.2.0/Enumerable.html), but here it's obtained from the call object, which we've ignored in the earlier examples. `call.each_remote_read` yields each message sent by the client in turn.
```ruby
call.each_remote_read do |point|
...
end
```
Finally, let's look at our bidirectional streaming RPC `route_chat`.
Here the method receives an [Enumerable](http://ruby-doc.org//core-2.2.0/Enumerable.html), but also returns an [Enumerator](http://ruby-doc.org//core-2.2.0/Enumerator.html) that yields the responses. The implementation demonstrates how to set these up so that the requests and responses can be handled concurrently. Although each side will always get the other's messages in the order they were written, both the client and server can read and write in any order — the streams operate completely independently.
Once we've implemented all our methods, we also need to start up a gRPC server so that clients can actually use our service. The following snippet shows how we do this for our `RouteGuide` service:
```ruby
s = GRPC::RpcServer.new
s.add_http2_port(port)
logger.info("... running insecurely on #{port}")
s.handle(ServerImpl.new(feature_db))
s.run
```
As you can see, we build and start our server using a `GRPC::RpcServer`. To do this, we:
1. Create an instance of our service implementation class `ServerImpl`.
2. Specify the address and port we want to use to listen for client requests using the builder's `add_http2_port` method.
3. Register our service implementation with the `GRPC::RpcServer`.
4. Call `run` on the`GRPC::RpcServer` to create and start an RPC server for our service.
In this section, we'll look at creating a Ruby client for our `RouteGuide` service. You can see our complete example client code in [grpc-common/ruby/route_guide/route_guide_client.rb](https://github.com/grpc/grpc-common/blob/master/ruby/route_guide/route_guide_client.rb).
Now let's look at how we call our service methods. Note that the gRPC Ruby only provides *blocking/synchronous* versions of each method: this means that the RPC call waits for the server to respond, and will either return a response or raise an exception.
#### Simple RPC
Calling the simple RPC `GetFeature` is nearly as straightforward as calling a local method.
As you can see, we create and populate a request protocol buffer object (in our case `Point`), and create a response protocol buffer object for the server to fill in. Finally, we call the method on the stub, passing it the context, request, and response. If the method returns `OK`, then we can read the response information from the server from our response object.
#### Streaming RPCs
Now let's look at our streaming methods. If you've already read [Creating the server](#server) some of this may look very familiar - streaming RPCs are implemented in a similar way on both sides. Here's where we call the server-side streaming method `list_features`, which returns an `Enumerable` of `Features`
Finally, let's look at our bidirectional streaming RPC `route_chat`. In this case, we pass `Enumerable` to the method and get back an `Enumerable`.
```ruby
resps = stub.route_chat(ROUTE_CHAT_NOTES)
resps.each { |r| p "received #{r.inspect}" }
```
Although it's not shown well by this example, each enumerable is independent of the other - both the client and server can read and write in any order — the streams operate completely independently.