Code generated while following the grpcio quickstart guide. This guide gets you started with gRPC in Python with a simple working example.
gRPC is a modern, open-source, high-performance RPC framework that can run in any environment. It uses HTTP/2 as the transport protocol and protocol buffers as the message serialization format.
At a high level, gRPC works as follows:
A client application sends a request message to a gRPC server.
The gRPC server processes the request and returns a response message to the client.
The client receives the response and processes it.
Here are some key concepts in gRPC:
Service: A service is a group of methods that a server can expose for a client to call.
Proto file: A Proto file is a text file that defines the service and the messages used by the service. The Proto file is used to generate code in the desired language (e.g., Java, Python, C++).
Stub: A stub is a client-side object that provides the same methods as the service. The stub is used to call the service methods.
Channel: A channel is a connection to a gRPC server. The client creates a channel and uses it to call the service methods.
Server: A server is a gRPC service that listens for incoming requests and processes them.
- Python 3.5 or higher
pip
version 9.0.1 or higher
upgrade your version of pip
:
$ python -m pip install --upgrade pip
run the example in a virtualenv:
$ python -m pip install virtualenv
$ virtualenv venv
$ source venv/bin/activate
$ python -m pip install --upgrade pip
Install gRPC:
$ python -m pip install grpcio
Or, to install it system wide:
$ sudo python -m pip install grpcio
Python's gRPC tools include the protocol buffer compiler protoc
and the
special plugin for generating server and client code from .proto
service
definitions. For the first part of our quick-start example, we've already
generated the server and client stubs from
[helloworld.proto](https://github.com/grpc/grpc/tree/{{< param grpc_vers.core >}}/examples/protos/helloworld.proto),
but you'll need the tools for the rest of our quick start, as well as later
tutorials and your own projects.
To install gRPC tools, run:
$ python -m pip install grpcio-tools
You'll need a local copy of the example code to work through this quick start. Download the example code from our GitHub repository (the following command clones the entire repository, but you just need the examples for this quick start and other tutorials):
# Clone the repository to get the example code:
$ git clone -b {{< param grpc_vers.core >}} --depth 1 --shallow-submodules https://github.com/grpc/grpc
# Navigate to the "hello, world" Python example:
$ cd grpc/examples/python/helloworld
From the examples/python/helloworld
directory:
-
Run the server:
$ python greeter_server.py
-
From another terminal, run the client:
$ python greeter_client.py
Congratulations! You've just run a client-server application with gRPC.
Now let's look at how to update the application with an extra method on the
server for the client to call. Our gRPC service is defined using protocol
buffers; you can find out lots more about how to define a service in a .proto
file in Introduction to gRPC and Basics tutorial. For now all you need
to know is that both the server and the client "stub" have a SayHello
RPC
method that takes a HelloRequest
parameter from the client and returns a
HelloReply
from the server, and that this method is defined like this:
// The greeting service definition.
service Greeter {
// Sends a greeting
rpc SayHello (HelloRequest) returns (HelloReply) {}
}
// The request message containing the user's name.
message HelloRequest {
string name = 1;
}
// The response message containing the greetings
message HelloReply {
string message = 1;
}
Let's update this so that the Greeter
service has two methods. Edit
examples/protos/helloworld.proto
and update it with a new SayHelloAgain
method, with the same request and response types:
// The greeting service definition.
service Greeter {
// Sends a greeting
rpc SayHello (HelloRequest) returns (HelloReply) {}
// Sends another greeting
rpc SayHelloAgain (HelloRequest) returns (HelloReply) {}
}
// The request message containing the user's name.
message HelloRequest {
string name = 1;
}
// The response message containing the greetings
message HelloReply {
string message = 1;
}
Remember to save the file!
Next we need to update the gRPC code used by our application to use the new service definition.
From the examples/python/helloworld
directory, run:
$ python -m grpc_tools.protoc -I../../protos --python_out=. --pyi_out=. --grpc_python_out=. ../../protos/helloworld.proto
This regenerates helloworld_pb2.py
which contains our generated request and
response classes and helloworld_pb2_grpc.py
which contains our generated
client and server classes.
We now have new generated server and client code, but we still need to implement and call the new method in the human-written parts of our example application.
In the same directory, open greeter_server.py
. Implement the new method like
this:
class Greeter(helloworld_pb2_grpc.GreeterServicer):
def SayHello(self, request, context):
return helloworld_pb2.HelloReply(message='Hello, %s!' % request.name)
def SayHelloAgain(self, request, context):
return helloworld_pb2.HelloReply(message='Hello again, %s!' % request.name)
...
In the same directory, open greeter_client.py
. Call the new method like this:
def run():
with grpc.insecure_channel('localhost:50051') as channel:
stub = helloworld_pb2_grpc.GreeterStub(channel)
response = stub.SayHello(helloworld_pb2.HelloRequest(name='you'))
print("Greeter client received: " + response.message)
response = stub.SayHelloAgain(helloworld_pb2.HelloRequest(name='you'))
print("Greeter client received: " + response.message)
Just like we did before, from the examples/python/helloworld
directory:
-
Run the server:
$ python greeter_server.py
-
From another terminal, run the client:
$ python greeter_client.py
Work through the Basics tutorial.
Here is a tutorial that will walk you through the basics of gRPC using Python:
Install the gRPC Python package: pip install grpcio
Define a Proto file for your service. Here is an example Proto file for a simple "Hello, World!" service:
syntax = "proto3";
service HelloService {
rpc SayHello (HelloRequest) returns (HelloResponse) {}
}
message HelloRequest {
string name = 1;
}
message HelloResponse {
string message = 1;
}
Generate the gRPC code for your service. Run the following command:
python -m grpc_tools.protoc -I . --python_out=. --grpc_python_out=. hello.proto
This will generate the following Python files: hello_pb2.py and hello_pb2_grpc.py.
Define your gRPC server. Here is an example server that implements the "Hello, World!" service:
import time
import grpc
import hello_pb2
import hello_pb2_grpc
class HelloServiceServicer(hello_pb2_grpc.HelloServiceServicer):
def SayHello(self, request, context):
response = hello_pb2.HelloResponse()
response.message = f"Hello, {request.name}!"
return response
def serve():
server = grpc.server(futures.ThreadPoolExecutor(max_workers=10))
hello_pb2_grpc.add_HelloServiceServicer_to_server(HelloServiceServicer(), server)
server.add_insecure_port('[::]:50051')
server.start()
try:
while True:
time.sleep(86400)
except KeyboardInterrupt:
server.stop(0)
if __name__ == '__main__':
serve()
Define your gRPC client. Here is an example client that calls the "Hello, World!" service:
import grpc
import hello_pb2
import hello_pb2_grpc
def run():
channel = grpc.insecure_channel('localhost:50051')
stub = hello_pb2_grpc.HelloServiceStub(channel)
response = stub.SayHello(hello_pb2.HelloRequest(name='World'))
print(response.message)
if __name__ == '__main__':
run()
Start the server and then run the client to call the service.
The gRPC API reference is the definitive source of information on gRPC APIs.
It provides detailed descriptions of the APIs and their options, as well as examples in multiple languages.
Here are some tips for exploring the gRPC API reference:
* The main page of the API reference lists all of the available APIs.
* You can click on an API to see its documentation.
* The documentation for an API includes a description of the API, the request and response messages, and any options that can be set.
* The API reference also includes examples of how to call the API in different languages.
* You can use the search function to find a specific API or message.