rpc

I was reading RPC-Model in AMQP with RabbitMQ. The tutorial creates a temporary queue and also correlationId . Temporary queues are unique, so why should we need correlationId? I'm a JMS guy, in JMS we do request/response in two ways: create temporary queue for each request/response create one response queue and use correlationId and message selector. can someone explain why do we need both temporary queue and correlationId in AMQP RPC model? It seems AMQP does not have something like message selector. Am I right? Correct, temporary queues are unique to the client making the RPC request. We

Having a toy service as below @WebService(targetNamespace="http://www.example.org/stock") @SOAPBinding(style=Style.RPC,parameterStyle=ParameterStyle.WRAPPED) public class GetStockPrice { @WebMethod(operationName="GetStockPrice",action="urn:GetStockPrice") @WebResult(partName="Price") public Double getPrice( @WebParam(name="StockName") String stock ) { return null; } } JAX-WS-generated client creates a SOAP message where StockName parameter has no namespace: <?xml version='1.0' encoding='UTF-8'?> <S:Envelope xmlns:S="http://schemas.xmlsoap.org/soap/envelope/"> <S:Body> <ns2:GetStockPrice xmlns

I'd like to execute some procedure on a remote node. And I'm not sure which is the best way to do this. I can write a rpc:call to do this. Or send a message by Remote ! {call, some_procedure} to the node to start the procedure and use receive waiting for the response. So which way is better in erlang? Or they actually are for different usage? It's better to use module rpc , because if you don't: you'll have to manage monitoring of remote node, have to provide unique id of the call, handle timeouts, also you're have to provide wrapper to send-back response with result of function. But all of

RPC RPC既做消费者也做生产者 reply_to=self.callback_queue, #接收的队列 correlation_id=self.corr_id,#发送和接收到的问题的消息 rpc_client.py # -*- coding: utf-8 -*- ''' @Time : 2019/11/2 16:14 @Author : jiangzhiqin ''' import pika import uuid class FibonacciRpcClient(object): def __init__(self): self.connection = pika.BlockingConnection( pika.ConnectionParameters(host='localhost')) self.channel = self.connection.channel() result = self.channel.queue_declare(queue='',exclusive=True) self.callback_queue = result.method.queue self.channel.basic_consume( queue=self.callback_queue, on_message_callback=self.on_response, auto_ack

When you use RMI in Java the remote stack trace of an exception will be prepended when you receive it, somewhat like this: ERROR Client received error when doing stuff: myapp.FooBarException: bla at server.myMethod() at rmi.callHandler() // and now, on the next line comes the client at rmi.sendCall(); at client.doServerMethod() at Thread.run() How is that kind of stacktrace "forgery" done? What do I want it for (apart from just being iterested)? Well, it would help me if I could do this: outer() { thread = new Thread(... inner(); // inner() throws // RuntimeException // at inner(); // at

1.NFS简介 NFS（Network File System）即网络文件系统，它允许网络中的计算机之间通过网络共享资源。将NFS主机分享的目录，挂载到本地客户端当中，本地NFS的客户端应用可以透明地读写位于远端NFS服务器上的文件，在客户端端看起来，就像访问本地文件一样。 RPC，基于C/S模型。程序可以使用这个协议请求网络中另一台计算机上某程序的服务而不需知道网络细节，甚至可以请求对方的系统调用。 对于Linux而言，文件系统是在内核空间实现的，即文件系统比如ext3、ext4等是在Kernel启动时，以内核模块的身份加载运行的。 2.NFS原理 NFS本身的服务并没有提供数据传递的协议，而是通过使用RPC（远程过程调用 Remote Procedure Call）来实现。当NFS启动后，会随机的使用一些端口，NFS就会向RPC去注册这些端口。RPC就会记录下这些端口，RPC会开启111端口。通过client端和sever端端口的连接来进行数据的传输。在启动nfs之前，首先要确保rpc服务启动。 原理如下： 本地用户要访问nfs服务器中文件，先向内核发起请求，内核处理调用nfs模块及rpc client rpc client向rpc server发起连接 在连接之前，NFS服务除了启动nfsd本身监听的端口2049/tcp和2049/udp，还会启动其它进程（如mountd

开启网关时需要 加上 flags micro api -handle=api --enable_rpc 来源： https://www.cnblogs.com/winyh/p/11780786.html

RPC(Remote Procedure Call)—远程过程调用协议，它是一种通过网络从远程计算机程序上请求服务，而不需要了解底层网络技术的协议。RPC协议假定某些传输协议的存在，如TCP或UDP，为通信程序之间携带信息数据。在OSI网络通信模型中，RPC跨越了传输层和应用层。RPC使得开发包括网络分布式多程序在内的应用程序更加容易。 RPC采用客户机/服务器模式。请求程序就是一个客户机，而服务提供程序就是一个服务器。首先，客户机调用进程发送一个有进程参数的调用信息到服务进程，然后等待应答信息。在服务器端，进程保持睡眠状态直到调用信息的到达为止。当一个调用信息到达，服务器获得进程参数，计算结果，发送答复信息，然后等待下一个调用信息，最后，客户端调用进程接收答复信息，获得进程结果，然后调用执行继续进行。 源码托管在 Git@OSC 原理 1. Client端获取一个 RPC 代理对象 proxy 2. 调用 proxy 上的方法, 被 InvocationHandler 实现类 Invoker 的 invoke() 方法捕获 3. invoke() 方法内将 RPC 请求封装成 Invocation 实例, 再向 Server 发送 RPC请求 4. Server端循环接收 RPC请求, 对每一个请求都创建一个 Handler线程处理 5. Handler线程从输入流中反序列化出