foreword
With the increasing popularity of distributed architectures, having an excellent message queue has become a "necessity" for asynchronous decoupling of the system, but there are also many problems in using messages in actual production. However, Alibaba Cloud's RocketMQ is optimized for high reliability and low latency, and has built a new low-latency storage engine and multi-scenario disaster recovery solution. Facing the diversity of link logic in the business integration process, RocketMQ provides a wealth of business message types, and the accumulation of these features makes it the preferred solution for financial-level business messages. Next, we will take Alibaba Cloud's message queue as an example to learn more about the best practices of message queues in practical applications, and briefly discuss the most difficult problems in using message queues in production-level business.
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Required content of the message queue in the interview/written test
In the interview/written test, the knowledge of message queues is an important test point. The most important knowledge points include the concept and application scenarios of message queues, the architecture and implementation principles of message queues, the reliability and performance of message queues, and the management and monitoring etc.
A collection of questions frequently asked by interviewers (partial):
1. Have you learned about message queues in detail?
2. What kind of message queue do you usually use?
3. Talk about the main functions of the message queue (including asynchronous data processing, application decoupling, business traffic peak shaving, etc.)
4. Tell me about the timing problems you encountered when using message queues, or problems such as missing messages.
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When actually developing and using message queues, using asynchronous processing can maximize business performance, decoupling operations can split various businesses and run them in modules, and using traffic peak shaving can handle large-scale traffic shocks.
Personally, I think the more difficult point in the message queue is: the consistency problem, to ensure the consistency of the data, such as distributed transaction locks, will greatly increase the complexity of the system. In addition, you also need to understand various features and functions of message queues, such as message types of message queues, message processing and routing methods of message queues, message filtering and retry mechanisms of message queues, etc. The specific questions and answers will not be repeated here.
Messaging products encountered at work
In my personal work and business, my most commonly used message product is Alibaba Cloud's message queue service (RocketMQ). The main reason is that RocketMQ has the characteristics of high reliability, high availability, and high scalability. It also provides a variety of message types and processing It can meet different business scenarios and needs. The advantages of RocketMQ are mainly concentrated in the following places:
1. High reliability and high availability: RocketMQ supports multi-copy backup and disaster recovery functions of messages, which can ensure the reliability and availability of messages.
2. Multiple message types and processing methods: RocketMQ supports multiple message types and processing methods to meet different business scenarios and needs.
3. Ease of use and management: RocketMQ provides an easy-to-use API and console to facilitate users to send, consume and manage messages.
4. High scalability: RocketMQ can automatically expand and shrink according to business needs to meet business needs of different scales.
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I personally think that the most difficult knowledge point to understand in the knowledge of message queues
The most difficult problem in using message queues in actual production-level business should be how to ensure the reliability and performance of messages, because in practical applications, message queues may encounter network failures, hardware failures, message loss, message duplication, etc. problems, which affect message reliability and performance. Therefore, in order to solve these problems, a series of safeguard measures need to be taken, such as using multi-copy backup, persistent storage, message confirmation mechanism, message retry mechanism and other operations. At the same time, it is also necessary to monitor and manage the message queue, discover and solve problems in time, and ensure the reliability and performance of messages.
Among the knowledge about message queues, the knowledge points that I personally find most difficult to understand are: message routing and message filtering. Message routing refers to how to send messages from producers to consumers, and message filtering refers to how to filter messages based on conditions to meet different business needs. In the actual application process, message routing and message filtering are very important functions, but they are also relatively complicated. Message routing involves the relationship and interaction between message producers, message queues, and consumers, and issues such as message routing, load balancing, and fault tolerance mechanisms need to be considered. For message filtering, it is necessary to consider how to filter and filter according to the attributes, labels, content and other conditions of the message to meet different business needs.
In addition, there are some other difficulties, such as serialization and deserialization of messages, version control and compatibility of messages, transaction processing of messages, etc. These difficulties also need to be considered and solved in practical applications to ensure that the message queue reliability and performance.
conclusion
To sum up, with the application of message queuing in distributed architecture more and more widely, there are many message queuing products on the market, but RocketMQ, as a business message product with high reliability and low latency, has a very wide range of applications. In terms of application prospects, more and more enterprises and developers choose RocketMQ as their business messaging service. In actual development and application, the most difficult problem in using message queues is how to ensure the reliability and performance of messages. Users need to take a series of measures to solve them. Moreover, the knowledge points of message queues are also important test points in written interviews, which require in-depth understanding. And master, so as a message queue user must pay attention to the above points, to avoid stepping on pitfalls and detours.