self.pool=Queue(maxsize=pool_size)# 初始化连接池for_inrange(pool_size):self.pool.put(self.create_connection())defcreate_connection(self):channel=grpc.insecure_channel(f"{self.host}:{self.port}")returnchanneldefget_connection(self):try:returnself.pool.get(timeout=1)exceptEmpty:raiseException(...
creates >ConnectionPool-connections: list-max_connections: int+acquire() : Connection+release(conn: Connection) : voidConnection-channel: Channel+call_service(service: str, request: Request) : Response+close() : void 连接池实现示例 接下来,我们将实现一个简单的 gRPC 连接池。首先,需要安装 gRPC Py...
127.0.0.1 - - [18/Nov/2019:20:09:25 +0800]"POST /Cal/Add HTTP/2.0"200 8"-""grpc-python/1.25.0 grpc-c/8.0.0 (manylinux; chttp2; game)"127.0.0.1 - - [18/Nov/2019:20:09:25 +0800]"POST /Cal/Multiply HTTP/2.0"200 9"-""grpc-python/1.25.0 grpc-c/8.0.0 (manylinux; c...
python -m grpc_tools.protoc \ # 指定xxx_pb2文件和xxx_pb2_grpc文件生成位置,通常我们都让他们在同一个文件夹生产 --python_out=./$target_p \ --grpc_python_out=./$target_p \ # 指定proto文件的位置 -I. \ $source_p/user/*.proto# 上面是标准的grpcio-tools执行的标准语句 # 指定`mypy-...
from __future__ import print_function import logging import grpc import hello_pb2 import hello_pb2_grpc def run(): with grpc.insecure_channel('localhost:10086') as channel: client = hello_pb2_grpc.UserInfoStub(channel) # 客户端使用Stub类发送请求,参数为频道,为了绑定链接 response = client....
/usr/bin/env python# -*- coding: utf-8 -*-# @FileName: client.py# @Time : 2024/4/28 17:47# @Author : zccimportgrpcfromprotosimportexample_pb2fromprotosimportexample_pb2_grpcdefrun_client():withgrpc.insecure_channel('localhost:50052')aschannel:...
with grpc.insecure_channel("localhost:50051") as channel: stub = echo_pb2_grpc.EchoServiceStub(channel) # 调用双向流式接口 responses = stub.BidirectionalStream(generate_messages()) for response in responses: print(f"Received response: {response.message}") ...
grpc.insecure_channel('localhost:50051'), grpc.metadata_call_credentials(set_token) )# 创建服务存根stub = GreeterStub(channel)# 发起RPC调用response = stub.SayHello(HelloRequest(name='World'))print(response.message) 步骤6:运行 结合上述的服务端和客户端代码示例,在运行最终结果之前,确保你已经创建了合...
stub=time_pb2_grpc.TimeStub(channel)response=stub.GetTime(time_pb2.TimeRequest())# 调用RPCprint('Client received: {}'.format(response.message))if__name__=='__main__':run() 我在下面添加了注释客户机代码。 更多细节 gRPC 使用 HTTP/2进行客户机-服务器通信,每个 RPC 调用都是同一个TCP/IP...
Python gRPC是一个高性能、开源的远程过程调用(RPC)框架,它使用Protocol Buffers作为接口定义语言(IDL),可以在不同的服务之间进行通信。gRPC支持流式消息处理,可以实现...