工作中遇到一个问题,上游服务通过grpc调用下游服务,但是由于下游服务负载太高导致上游服务的调用会随机出现超时的情况,但是有一点不太明确:超时之后,下游服务还会继续进行计算么?

于是自己写了一个damon试了一下:

client:

# Copyright 2015 gRPC authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""The Python implementation of the GRPC helloworld.Greeter client."""

from __future__ import print_function
import logging

import grpc

import helloworld_pb2
import helloworld_pb2_grpc


def run():
  # NOTE(gRPC Python Team): .close() is possible on a channel and should be
  # used in circumstances in which the with statement does not fit the needs
  # of the code.
  with grpc.insecure_channel('localhost:50051') as channel:
    stub = helloworld_pb2_grpc.GreeterStub(channel)
    response = stub.SayHello(helloworld_pb2.HelloRequest(name='you'), timeout=30)
  print("Greeter client received: " + response.message)


if __name__ == '__main__':
  logging.basicConfig()
  run()

server:

# Copyright 2015 gRPC authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""The Python implementation of the GRPC helloworld.Greeter server."""

from concurrent import futures
import time
import logging

import grpc

import helloworld_pb2
import helloworld_pb2_grpc

_ONE_DAY_IN_SECONDS = 60 * 60 * 24


class Greeter(helloworld_pb2_grpc.GreeterServicer):

  def SayHello(self, request, context):
  count = 0
  while count < 10:
    print('time:%s' % (time.time()))
    time.sleep(5)
    return helloworld_pb2.HelloReply(message='Hello, %s!' % request.name)


def serve():
  server = grpc.server(futures.ThreadPoolExecutor(max_workers=10))
  helloworld_pb2_grpc.add_GreeterServicer_to_server(Greeter(), server)
  server.add_insecure_port('[::]:50051')
  server.start()
  try:
    while True:
      time.sleep(_ONE_DAY_IN_SECONDS)
  except KeyboardInterrupt:
    server.stop(0)


if __name__ == '__main__':
  logging.basicConfig()
  serve()

这两个例子就是在grpc官方提供的python例子上做了一下小的改动,得到的结果是:当client超时报错退出之后,server还是会继续进行计算,直到结束,那如果是这样的话,超时的机制对于server来说是没有作用的,即使client已经不再等待这个结果了,但是server还是会继续计算,浪费server的资源。

以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持。

标签:
python,grpc,超时,机制

免责声明:本站文章均来自网站采集或用户投稿,网站不提供任何软件下载或自行开发的软件! 如有用户或公司发现本站内容信息存在侵权行为,请邮件告知! 858582#qq.com
白云城资源网 Copyright www.dyhadc.com

评论“Python grpc超时机制代码示例”

暂无“Python grpc超时机制代码示例”评论...

P70系列延期,华为新旗舰将在下月发布

3月20日消息,近期博主@数码闲聊站 透露,原定三月份发布的华为新旗舰P70系列延期发布,预计4月份上市。

而博主@定焦数码 爆料,华为的P70系列在定位上已经超过了Mate60,成为了重要的旗舰系列之一。它肩负着重返影像领域顶尖的使命。那么这次P70会带来哪些令人惊艳的创新呢?

根据目前爆料的消息来看,华为P70系列将推出三个版本,其中P70和P70 Pro采用了三角形的摄像头模组设计,而P70 Art则采用了与上一代P60 Art相似的不规则形状设计。这样的外观是否好看见仁见智,但辨识度绝对拉满。