MQ与Webservice的区别
Webservice 和MQ(MessageQueue)都是解决跨平台通信的常用手段，两者有哪些区别呢？
In this article, I will introduce a new and independent Open Source Message Queue system that is entirely built in C# and .NET framework 3.5. DotNetMQ is a message broker that has several features including guaranteed delivering, routing, load balancing, server graphs... so on. I will start by explaining messaging concepts and the need for message brokers. Then I will examine what DotNetMQ is and how to use it.
Messaging is a way of asynchronous communication of applications running on same or different machines with reliable delivery. Programs communicate by sending packets of data called messages to each other [1].
A message may be a string, a byte array, an object... etc. Typically, a sender (producer) program creates a message and pushes it to a message queue and a receiver (consumer) program gets the message from the queue and processes it. The sender and receiver programs don’t have to be running at the same time, since messaging is an asynchronous process. This is called loosely coupled communication.
On the other hand, a Web Service method call (Remote Method Invocation) is a type of tightly coupled andsynchronous communication (both applications have to be running and available during the whole communication; if the Web Service is offline or an error occurs during the method call, the client application gets an exception).
In the figure above, two applications communicate over a message queue in a loosely coupled manner. If the receiver consumes messages slower than the sender produces it, the message count on the queue will increase. Also, the receiver may be offline while the sender is sending messages. In this situation, the receiver gets the messages from the queue when it becomes online (when it starts and joins the queue).
Message Queues are typically provided by Message Brokers. A Message Broker is a standalone application (service) that other applications connect to and send/receive messages. A Message Broker is responsible to store messages until a receiver receives them. A Message Broker can route messages across machines to deliver a message to the destination application and can try delivering the message until the receiver correctly handles it. A Message Broker is sometimes called a Message Oriented Middleware (MOM) or simply Message Queue (MQ).
DotNetMQ is an open source Message Broker that has several features:
- Persistent or non-persistent messaging.
- Guaranteed delivery of persistent messages even in a system crash.
- Automatic and manual routing of messages in a custom machine graph.
- Supports multiple databases (MS SQL Server, MySQL, SQLite, and memory-based storage for now).
- Supports don’t store, direct send style messaging.
- Supports Request/Reply style messaging.
- Easy to use client library to communicate with the DotNetMQ Message Broker.
- Built-in framework to easily construct RMI services upon message queues.
- Supports delivering messages to ASP.NET Web Services.
- GUI-based management and monitoring tool.
- Easy to install, manage, and use.
- Written entirely in C# (using .NET Framework 3.5).
I preferred to name DotNetMQ as MDS (Message Delivery System) when first creating it. Because it is designed not just to be a message queue, but also as a system that delivers messages directly to applications and an environment that provides a framework to build application services. I called it DotNetMQ since it is entirely developed using .NET and the DotNetMQ name is more memorable. So, it’s original name (and internal project name) is MDS and the applications have many classes with the prefix MDS.
First, I will demonstrate a simple situation where a message broker is needed.
In my experiences in business life, I've observed really bad and uncommon asynchronous enterprise application integration solutions. Usually there is an application that runs on a server and performs some tasks and produces data, and then sends the result data to another application on another server. The second application performs other tasks on the data or evaluates the result (the servers are on the same network or connected over the internet). Also, the message data must be persistent. Even if the remote application is not working or the network is not available, themessage must be delivered on the first chance.
Application - 1 and Application - 2 are executable applications (or Windows services) and Sender Service is a Windows service. Application - 1 performs some task, produces data, and calls a Remote Web Service method onServer - B to transmit data. This Web Service inserts data into a database table. Application - 2 periodically checks the table for new incoming data rows and processes them (and deletes them from the table or marks them as processed to not process the same data again).
If an error occurs during the Web Service call or while processing data in the Web Service, data must not be lost and must be sent later. However, Application - 1 has other tasks to do, so it can not try to send data again and again. It simply inserts data into a database table. Another Windows service (or a thread in Application - 1, if the application always runs) checks this table periodically and tries to send data to the Web Service until data is successfully sent.
This scenario is really reliable (messages are guaranteed to be delivered) but is not an efficient way of communicating between two applications. This solution has some very critical problems:
- It takes a long time to develop (to code).
- Individual coding for all message types (or remote method calls). For a new Web Service method call, you must change all the services, applications, and database tables.
- Almost same software and structures must be developed (or copied and modified) for every similar service.
- Testing and maintenance of too many services/applications/databases after coding.
- Some applications and services periodically check the database even if there is no new message (if the database is not well indexed and optimized, this may consume serious system resources).
Message Brokers do all this job and takes all the responsibility to deliver messages to the remote application in the most efficient way. The same application integration using DotNetMQ is shown in the figure below.
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