**Response-Headers** &**Trailers-Only** are each delivered in a single HTTP2 HEADERS frame block. Most responses are expected to have both headers and trailers but **Trailers-Only** is permitted for calls that produce an immediate error. Status must be sent in **Trailers** even if the status code is OK.
@ -110,6 +113,21 @@ Implementations should expect broken deployments to send non-200 HTTP status cod
Clients may limit the size of **Response-Headers**, **Trailers**, and
**Trailers-Only**, with a default of 8 KiB each suggested.
The value portion of **Status** is a decimal-encoded integer as an ASCII string,
without any leading zeros.
The value portion of **Status-Message** is conceptually a Unicode string
description of the error, physically encoded as UTF-8 followed by
percent-encoding. Percent-encoding is specified in [RFC 3986
§2.1](https://tools.ietf.org/html/rfc3986#section-2.1), although the form used
here has different restricted characters. When decoding invalid values,
implementations MUST NOT error or throw away the message. At worst, the
implementation can abort decoding the status message altogether such that the
user would received the raw percent-encoded form. Alternatively, the
implementation can decode valid portions while leaving broken %-encodings as-is
or replacing them with a replacement character (e.g., '?' or the Unicode
@ -16,8 +16,6 @@ Here, scheme indicates the name-system to be used. Example schemes to be support
* `dns`
* `zookeeper`
* `etcd`
Authority indicates some scheme-specific bootstrap information, e.g., for DNS, the authority may include the IP[:port] of the DNS server to use. Often, a DNS name may used as the authority, since the ability to resolve DNS names is already built into all gRPC client libraries.
@ -30,23 +28,3 @@ The gRPC client library will switch on the scheme to pick the right resolver plu
Resolvers should be able to contact the authority and get a resolution that they return back to the gRPC client library. The returned contents include a list of IP:port, an optional config and optional auth config data to be used for channel authentication. The plugin API allows the resolvers to continuously watch an endpoint_name and return updated resolutions as needed.
## Zookeeper
Apache [ZooKeeper](https://zookeeper.apache.org/) is a popular solution for building name-systems. Curator is a service discovery system built on to of ZooKeeper. We propose to organize names hierarchically as `/path/service/instance` similar to Apache Curator.
A fully-qualified ZooKeeper name used to construct a gRPC channel will look as follows:
```
zookeeper://host:port/path/service/instance
```
Here `zookeeper` is the scheme identifying the name-system. `host:port` identifies an authoritative name-server for this scheme (i.e., a Zookeeper server). The host can be an IP address or a DNS name.
Finally `/path/service/instance` is the Zookeeper name to be resolved.
## Service Registration
Service providers can register their services in Zookeeper by using a Zookeeper client.
Each service is a zookeeper node, and each instance is a child node of the corresponding service. For example, a MySQL service may have multiple instances, `/mysql/1`, `/mysql/2`, `/mysql/3`. The name of the service or instance, as well as an optional path is specified by the service provider.
The data in service nodes is empty. Each instance node stores its address in the format of `host:port`, where host can be either hostname or IP address.
@ -18,6 +18,7 @@ Only a subset of the pre-defined status codes are generated by the gRPC librarie
| Could not decompress, but compression algorithm supported (Server -> Client) | INTERNAL | Client |
| Compression mechanism used by client not supported at server | UNIMPLEMENTED | Server |
| Server temporarily out of resources (e.g., Flow-control resource limits reached) | RESOURCE_EXHAUSTED | Server|
| Client does not have enough memory to hold the server response | RESOURCE_EXHAUSTED | Client |
| Flow-control protocol violation | INTERNAL | Both |
| Error parsing returned status | UNKNOWN | Client |
| Incorrect Auth metadata ( Credentials failed to get metadata, Incompatible credentials set on channel and call, Invalid host set in `:authority` metadata, etc.) | UNAUTHENTICATED | Both |
To install gRPC on your system, follow the instructions to build from source [here](../../INSTALL.md). This also installs the protocol buffer compiler `protoc` (if you don't have it already), and the C++ gRPC plugin for `protoc`.
To install gRPC on your system, follow the instructions to build from source
[here](../../INSTALL.md). This also installs the protocol buffer compiler
`protoc` (if you don't have it already), and the C++ gRPC plugin for `protoc`.
## Hello C++ gRPC!
Here's how to build and run the C++ implementation of the [Hello World](../protos/helloworld.proto) example used in [Getting started](..).
The example code for this and our other examples lives in the `examples`
directory. Clone this repository to your local machine by running the
following command:
```sh
$ git clone https://github.com/grpc/grpc.git
```
Change your current directory to examples/cpp/helloworld
```sh
$ cd examples/cpp/helloworld/
```
Here's how to build and run the C++ implementation of the [Hello
World](../protos/helloworld.proto) example used in [Getting started](..).
### Client and server implementations
@ -31,18 +19,25 @@ The server implementation is at [greeter_server.cc](helloworld/greeter_server.cc
### Try it!
Build client and server:
```sh
$ make
```
Run the server, which will listen on port 50051:
```sh
$ ./greeter_server
```
Run the client (in a different terminal):
```sh
$ ./greeter_client
```
If things go smoothly, you will see the "Greeter received: Hello world" in the client side output.
If things go smoothly, you will see the "Greeter received: Hello world" in the
This tutorial provides a basic C++ programmer's introduction to working with gRPC. By walking through this example you'll learn how to:
This tutorial provides a basic C++ programmer's introduction to working with
gRPC. By walking through this example you'll learn how to:
- Define a service in a .proto file.
- Define a service in a `.proto` file.
- Generate server and client code using the protocol buffer compiler.
- Use the C++ gRPC API to write a simple client and server for your service.
It assumes that you have read the [Getting started](..) 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 C++: more reference documentation is coming soon.
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.
## 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.
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.
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 [examples/cpp/route_guide](route_guide). To download the example, clone this repository by running the following command:
```shell
$ git clone https://github.com/grpc/grpc.git
```
Then change your current directory to `examples/cpp/route_guide`:
```shell
$ cd examples/cpp/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 [gRPC in 3 minutes](README.md).
The example code for our tutorial is in [examples/cpp/route_guide](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
[INSTALL.md](../../INSTALL.md).
## Defining the service
Our first step (as you'll know from [Getting started](..) 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 [`examples/protos/route_guide.proto`](../protos/route_guide.proto).
Our first step is to define the gRPC *service* and the method *request* and
To define a service, you specify a named `service` in your .proto file:
To define a service, you specify a named `service` in your `.proto` file:
```
```protobuf
service RouteGuide {
...
}
```
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:
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 *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.
```protobuf
// Obtains the feature at a given position.
rpc GetFeature(Point) returns (Feature) {}
```
- 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 *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.
```protobuf
// Obtains the Features available within the given Rectangle. Results are
// streamed rather than returned at once (e.g. in a response message with a
// repeated field), as the rectangle may cover a large area and contain a
@ -60,22 +79,38 @@ Then you define `rpc` methods inside your service definition, specifying their r
- 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 client-side streaming method by placing the `stream` keyword before the *request* 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 client-side streaming method by placing
the `stream` keyword before the *request* type.
```protobuf
// Accepts a stream of Points on a route being traversed, returning a
- 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.
```
- 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.
```protobuf
// Accepts a stream of RouteNotes sent while a route is being traversed,
// while receiving other RouteNotes (e.g. from other users).
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:
```
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:
```protobuf
// 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
@ -86,12 +121,16 @@ message Point {
}
```
## 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 C++ plugin.
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 C++ plugin.
For simplicity, we've provided a [makefile](route_guide/Makefile) that runs `protoc` for you with the appropriate plugin, input, and output (if you want to run this yourself, make sure you've installed protoc and followed the gRPC code [installation instructions](../../INSTALL.md) first):
For simplicity, we've provided a [Makefile](route_guide/Makefile) that runs
`protoc` for you with the appropriate plugin, input, and output (if you want to
run this yourself, make sure you've installed protoc and followed the gRPC code
Running this command generates the following files in your current directory:
- `route_guide.pb.h`, the header which declares your generated message classes
- `route_guide.pb.cc`, which contains the implementation of your message classes
- `route_guide.grpc.pb.h`, the header which declares your generated service classes
- `route_guide.grpc.pb.cc`, which contains the implementation of your service classes
- `route_guide.grpc.pb.h`, the header which declares your generated service
classes
- `route_guide.grpc.pb.cc`, which contains the implementation of your service
classes
These contain:
- All the protocol buffer code to populate, serialize, and retrieve our request and response message types
- All the protocol buffer code to populate, serialize, and retrieve our request
and response message types
- A class called `RouteGuide` that contains
- a remote interface type (or *stub*) for clients to call with the methods defined in the `RouteGuide` service.
- two abstract interfaces for servers to implement, also with the methods defined in the `RouteGuide` service.
- a remote interface type (or *stub*) for clients to call with the methods
defined in the `RouteGuide` service.
- two abstract interfaces for servers to implement, also with the methods
defined in the `RouteGuide` service.
<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!).
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.
- 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 [route_guide/route_guide_server.cc](route_guide/route_guide_server.cc). Let's take a closer look at how it works.
As you can see, our server has a `RouteGuideImpl` class that implements the generated `RouteGuide::Service` interface:
As you can see, our server has a `RouteGuideImpl` class that implements the
generated `RouteGuide::Service` interface:
```cpp
class RouteGuideImpl final : public RouteGuide::Service {
...
}
```
In this case we're implementing the *synchronous* version of `RouteGuide`, which provides our default gRPC server behaviour. It's also possible to implement an asynchronous interface, `RouteGuide::AsyncService`, which allows you to further customize your server's threading behaviour, though we won't look at this in this tutorial.
In this case we're implementing the *synchronous* version of `RouteGuide`, which
provides our default gRPC server behaviour. It's also possible to implement an
asynchronous interface, `RouteGuide::AsyncService`, which allows you to further
customize your server's threading behaviour, though we won't look at this in
this tutorial.
`RouteGuideImpl` 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`.
`RouteGuideImpl` 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`.
```cpp
Status GetFeature(ServerContext* context, const Point* point,
@ -150,34 +208,52 @@ In this case we're implementing the *synchronous* version of `RouteGuide`, which
}
```
The method is passed a context object for the RPC, the client's `Point` protocol buffer request, and a `Feature` protocol buffer to fill in with the response information. In the method we populate the `Feature` with the appropriate information, and then `return` with an `OK` status to tell gRPC that we've finished dealing with the RPC and that the `Feature` can be returned to the client.
The method is passed a context object for the RPC, the client's `Point` protocol
buffer request, and a `Feature` protocol buffer to fill in with the response
information. In the method we populate the `Feature` with the appropriate
information, and then `return` with an `OK` status to tell gRPC that we've
finished dealing with the RPC and that the `Feature` can be returned to the
client.
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.
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.
```cpp
Status ListFeatures(ServerContext* context, const Rectangle* rectangle,
ServerWriter<Feature>* writer) override {
auto lo = rectangle->lo();
auto hi = rectangle->hi();
long left = std::min(lo.longitude(), hi.longitude());
long right = std::max(lo.longitude(), hi.longitude());
long top = std::max(lo.latitude(), hi.latitude());
long bottom = std::min(lo.latitude(), hi.latitude());
for (const Feature& f : feature_list_) {
if (f.location().longitude() >= left &&
f.location().longitude() <= right &&
f.location().latitude() >= bottom &&
f.location().latitude() <= top) {
writer->Write(f);
}
Status ListFeatures(ServerContext* context, const Rectangle* rectangle,
ServerWriter<Feature>* writer) override {
auto lo = rectangle->lo();
auto hi = rectangle->hi();
long left = std::min(lo.longitude(), hi.longitude());
long right = std::max(lo.longitude(), hi.longitude());
long top = std::max(lo.latitude(), hi.latitude());
long bottom = std::min(lo.latitude(), hi.latitude());
for (const Feature& f : feature_list_) {
if (f.location().longitude() >= left &&
f.location().longitude() <= right &&
f.location().latitude() >= bottom &&
f.location().latitude() <= top) {
writer->Write(f);
}
return Status::OK;
}
return Status::OK;
}
```
As you can see, instead of getting simple request and response objects in our method parameters, this time we get a request object (the `Rectangle` in which our client wants to find `Feature`s) and a special `ServerWriter` object. In the method, we populate as many `Feature` objects as we need to return, writing them to the `ServerWriter` using its `Write()` method. Finally, as in our simple RPC, we `return Status::OK` to tell gRPC that we've finished writing responses.
As you can see, instead of getting simple request and response objects in our
method parameters, this time we get a request object (the `Rectangle` in which
our client wants to find `Feature`s) and a special `ServerWriter` object. In the
method, we populate as many `Feature` objects as we need to return, writing them
to the `ServerWriter` using its `Write()` method. Finally, as in our simple RPC,
we `return Status::OK` to tell gRPC that we've finished writing responses.
If you look at the client-side streaming method `RecordRoute` you'll see it's quite similar, except this time we get a `ServerReader` instead of a request object and a single response. We use the `ServerReader`s `Read()` method to repeatedly read in our client's requests to a request object (in this case a `Point`) until there are no more messages: the server needs to check the return value of `Read()` after each call. If `true`, the stream is still good and it can continue reading; if `false` the message stream has ended.
If you look at the client-side streaming method `RecordRoute` you'll see it's
quite similar, except this time we get a `ServerReader` instead of a request
object and a single response. We use the `ServerReader`s `Read()` method to
repeatedly read in our client's requests to a request object (in this case a
`Point`) until there are no more messages: the server needs to check the return
value of `Read()` after each call. If `true`, the stream is still good and it
can continue reading; if `false` the message stream has ended.
This time we get a `ServerReaderWriter` that can be used to read *and* write messages. The syntax for reading and writing here is exactly the same as for our client-streaming and server-streaming methods. 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.
This time we get a `ServerReaderWriter` that can be used to read *and* write
messages. The syntax for reading and writing here is exactly the same as for our
client-streaming and server-streaming methods. 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.
### Starting the server
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:
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
As you can see, we build and start our server using a `ServerBuilder`. To do this, we:
1. Create an instance of our service implementation class `RouteGuideImpl`.
2. Create an instance of the factory `ServerBuilder` class.
3. Specify the address and port we want to use to listen for client requests using the builder's `AddListeningPort()` method.
4. Register our service implementation with the builder.
5. Call `BuildAndStart()` on the builder to create and start an RPC server for our service.
5. Call `Wait()` on the server to do a blocking wait until process is killed or `Shutdown()` is called.
1. Create an instance of the factory `ServerBuilder` class.
1. Specify the address and port we want to use to listen for client requests
using the builder's `AddListeningPort()` method.
1. Register our service implementation with the builder.
1. Call `BuildAndStart()` on the builder to create and start an RPC server for
our service.
1. Call `Wait()` on the server to do a blocking wait until process is killed or
`Shutdown()` is called.
<aname="client"></a>
## Creating the client
In this section, we'll look at creating a C++ client for our `RouteGuide` service. You can see our complete example client code in [route_guide/route_guide_client.cc](route_guide/route_guide_client.cc).
In this section, we'll look at creating a C++ client for our `RouteGuide`
service. You can see our complete example client code in
Now let's look at how we call our service methods. Note that in this tutorial we're calling the *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.
Now let's look at how we call our service methods. Note that in this tutorial
we're calling the *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.
Calling the simple RPC `GetFeature` is nearly as straightforward as calling a
local method.
```cpp
Point point;
@ -281,33 +375,53 @@ Calling the simple RPC `GetFeature` is nearly as straightforward as calling a lo
}
```
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. We also create a `ClientContext` object for our call - you can optionally set RPC configuration values on this object, such as deadlines, though for now we'll use the default settings. Note that you cannot reuse this object between calls. 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.
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. We also create a `ClientContext` object for our call - you can
optionally set RPC configuration values on this object, such as deadlines,
though for now we'll use the default settings. Note that you cannot reuse this
object between calls. 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.
```cpp
std::cout << "Found feature called " <<feature->name() << " at "
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 `ListFeatures`, which returns a stream of geographical `Feature`s:
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 `ListFeatures`, which returns a stream of geographical
Instead of passing the method a context, request, and response, we pass it a context and request and get a `ClientReader` object back. The client can use the `ClientReader` to read the server's responses. We use the `ClientReader`s `Read()` method to repeatedly read in the server's responses to a response protocol buffer object (in this case a `Feature`) until there are no more messages: the client needs to check the return value of `Read()` after each call. If `true`, the stream is still good and it can continue reading; if `false` the message stream has ended. Finally, we call `Finish()` on the stream to complete the call and get our RPC status.
Instead of passing the method a context, request, and response, we pass it a
context and request and get a `ClientReader` object back. The client can use the
`ClientReader` to read the server's responses. We use the `ClientReader`s
`Read()` method to repeatedly read in the server's responses to a response
protocol buffer object (in this case a `Feature`) until there are no more
messages: the client needs to check the return value of `Read()` after each
call. If `true`, the stream is still good and it can continue reading; if
`false` the message stream has ended. Finally, we call `Finish()` on the stream
to complete the call and get our RPC status.
The client-side streaming method `RecordRoute` is similar, except there we pass the method a context and response object and get back a `ClientWriter`.
The client-side streaming method `RecordRoute` is similar, except there we pass
the method a context and response object and get back a `ClientWriter`.
```cpp
std::unique_ptr<ClientWriter<Point> > writer(
@ -337,16 +451,26 @@ The client-side streaming method `RecordRoute` is similar, except there we pass
}
```
Once we've finished writing our client's requests to the stream using `Write()`, we need to call `WritesDone()` on the stream to let gRPC know that we've finished writing, then `Finish()` to complete the call and get our RPC status. If the status is `OK`, our response object that we initially passed to `RecordRoute()` will be populated with the server's response.
Once we've finished writing our client's requests to the stream using `Write()`,
we need to call `WritesDone()` on the stream to let gRPC know that we've
finished writing, then `Finish()` to complete the call and get our RPC status.
If the status is `OK`, our response object that we initially passed to
`RecordRoute()` will be populated with the server's response.
Finally, let's look at our bidirectional streaming RPC `RouteChat()`. In this case, we just pass a context to the method and get back a `ClientReaderWriter`, which we can use to both write and read messages.
Finally, let's look at our bidirectional streaming RPC `RouteChat()`. In this
case, we just pass a context to the method and get back a `ClientReaderWriter`,
The syntax for reading and writing here is exactly the same as for our client-streaming and server-streaming methods. 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.
The syntax for reading and writing here is exactly the same as for our
client-streaming and server-streaming methods. 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.
## Try it out!
@ -362,4 +486,3 @@ Run the client (in a different terminal):
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shellScript = "diff \"${PODS_ROOT}/../Podfile.lock\" \"${PODS_ROOT}/Manifest.lock\" > /dev/null\nif [[ $? != 0 ]] ; then\n cat << EOM\nerror: The sandbox is not in sync with the Podfile.lock. Run 'pod install' or update your CocoaPods installation.\nEOM\n exit 1\nfi\n";
shellScript = "diff \"${PODS_ROOT}/../Podfile.lock\" \"${PODS_ROOT}/Manifest.lock\" > /dev/null\nif [[ $? != 0 ]] ; then\n cat << EOM\nerror: The sandbox is not in sync with the Podfile.lock. Run 'pod install' or update your CocoaPods installation.\nEOM\n exit 1\nfi\n";