Explore the key differences between Redis and MySQL transactions, focusing on design principles, ACID properties, implementation mechanisms, and use cases. Learn which database is best for your needs!
Discover the critical role of Message Queues (MQ) in distributed systems. From asynchronous processing to service decoupling, traffic shaping, and beyond, this article explores 10 practical and classi···
Learn how to use MySQL wildcards for efficient fuzzy queries. This guide covers the usage of % and _ wildcards, query examples, and performance tips to optimize data filtering.This article will provid···
With the rise of GPT and advancements in AI, the big model field is rapidly growing. This article explores the different roles in big model engineering, including data, platform, algorithm, and deploy···
Learn how to tackle message backlog in MQ systems with practical solutions like increasing consumer numbers, optimizing processing capacity, and scaling up servers. Explore strategies to improve messa···
In our daily work, we often use MySQL databases because they are open-source, free, and offer decent performance.However, it’s also easy to fall into some common pitfalls when using MySQL. If you don···
If a query is considered a task, it is made up of several sub-tasks, each of which consumes a certain amount of time. To optimize a query, we essentially need to optimize its sub-tasks, either by elim···
When performing pagination in database queries, it's essential to return a token that can be used directly to locate the first data item of the next page. It is not recommended to simply use the L···
In a database, uniqueness constraints ensure that each row of data in a specific column of a table is distinct. This can be achieved using a unique index or a primary key. When these constraints are v···
Transaction management is a crucial concept in database operations, especially when dealing with scenarios that require ensuring data integrity and consistency. A transaction is a series of operations···
In MySQL, a large transaction can consume significant resources, including locking resources and memory. This may lead to the following issues:Reduced Concurrency: Large transactions may lock a large ···
When inserting large amounts of data into a MySQL database, executing individual insert statements can be inefficient due to overheads such as network latency, transaction processing, and logging. Bul···
Data operations—especially large-scale ones—always carry risks, including the possibility of data loss or corruption due to user errors, system failures, or other factors. To minimize these risks, p···
When performing database insert operations, it is important to consider potential errors and ensure that these errors are handled appropriately. The error handling logic should ensure the following:Tr···
Query optimization is a crucial aspect of database performance tuning, aimed at reducing the execution time and resource consumption of queries. Below are some common query optimization techniques alo···
Resource limits are a mechanism to prevent database queries from consuming excessive time and resources. Below are examples of how to set query execution time limits in MySQL and SQL Server.MySQL'···
