7 recommended articles on slow query optimization

With its excellent performance, low cost, and abundant resources, MySQL has become the preferred relational database for most Internet companies. Although the performance is excellent, the so-called "good horse comes with a good saddle", how to use it better has become a required course for development engineers. We often see things like "Proficient in MySQL" and "SQL statement optimization" from job descriptions , "Understand database principles" and other requirements. We know that in general application systems, the read-write ratio is about 10:1, and insertion operations and general update operations rarely cause performance problems. The most encountered ones, which are also the most likely to cause problems, are some complex query operations, so Optimization of query statements is obviously a top priority. Since July 2013, I have been working on the optimization of slow queries in the core business system department of Meituan. There are more than ten systems in total, and I have solved and accumulated hundreds of slow query cases. As the complexity of the business increases, the problems encountered are all kinds of strange, varied and unbelievable. This article aims to explain the principles of database indexing and how to optimize slow queries from the perspective of a development engineer. Thinking selection caused by a slow query  

1. MySQL index principle and slow query optimization

##Introduction: With its excellent performance, low cost, and abundant resources, MySQL has become the preferred relational database for most Internet companies. Although the performance is excellent, the so-called "good horse comes with a good saddle", how to use it better has become a required course for development engineers. We often see things like "Proficient in MySQL" and "SQL statement optimization" from job descriptions , "Understand database principles" and other requirements. We know that in general application systems, the read-write ratio is about 10:1, and insertion operations and general update operations rarely cause performance problems. The most encountered ones, which are also the most likely to cause problems, are some complex query operations, so Optimization of query statements is obviously a top priority.

2. 【Reprint】MySQL directory principle and slow query optimization

## Introduction: [Reprint] MySQL Index Principles and Slow Query Optimization MySQL has become the preferred relational database for most Internet companies with its excellent performance, low cost, and abundant resources. Although the performance is excellent, the so-called "a good horse comes with a good saddle" and how to use it better has become a required course for development engineers. We often see

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MySQL Index Principle and Slow Query Optimization

Introduction: With its excellent performance, low cost, and abundant resources, MySQL has become the vast majority of The preferred relational database for Internet companies. Although the performance is excellent, the so-called "good horse comes with a good saddle", how to use it better has become a required course for development engineers. We often see things like "Proficient in MySQL" and "SQL statement optimization" from job descriptions

4.

Select multi-row SQL statement slow query optimization

Introduction: Environment: MySQL5.5 InnoDB table post , the primary key is id. The requirement is very simple. Post.name is returned according to id. Multiple specified ones need to be returned at one time, so where id in is used: {code...} Explain the result: {code...} Now this SQL sentence is Thousands of slow query records are generated every hour...

5.

Overview of MySQL index principles and practical slow query optimization_MySQL

Introduction: Overview of MySQL indexing principles and practical implementation of slow query optimization

6.

Meituan.com MySQL index and slow query optimization tutorial shared by the technical team_MySQL

##Introduction: This article mainly introduces I have shared the MySQL index and slow query optimization tutorial shared by the Meituan.com technical team, and analyzed some optimization solutions based on the actual disk IO situation. It is highly recommended! Friends who need it can refer to it

7. MySQL slow query optimization slow query log analysis example tutorial_MySQL

Introduction: This article mainly introduces the MySQL slow query log analysis An example tutorial of query log analysis, by setting parameters to start from the slow query log to analyze the causes of performance problems. Friends in need can refer to the following

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