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SQL statements of MySql: how to optimize and reconstruct

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2023-06-15 21:06:52918browse

MySql is a widely used relational database management system that provides rich functions and tools for data management and data analysis. In MySql, SQL statements are the main tool for interacting with the database, but some common problems may cause poor performance of SQL statements. This article will explore how to optimize and reconstruct MySql's SQL statements to improve the efficiency and reliability of the database.

1. Optimize query statements

In MySql, query statements are the main means of querying and retrieving the database. However, in some cases, the performance of the query statement may be poor. This will not only affect the efficiency of the database, but may also cause the system to crash. The following are some ways to optimize query statements:

Reduce the number of queries on the table as much as possible. Try to avoid unnecessary "select" statements and only query the required data to reduce query time and system load.

Use appropriate indexes. Indexes can greatly speed up queries, but they can also impact performance if used incorrectly. When setting up an index, you should choose an appropriate index type based on the structure and data type of the table.

Use filters in where clauses. Filters can limit the result set size of a query, thereby increasing query speed. Filters can use comparison operators, logical operators and range operators.

Reduce the complexity of query statements. If the query statement is too complex, the execution time will become longer, thus reducing the query speed. Views can be used instead of complex joins.

2. Reconstruct stored procedures

A stored procedure is a set of SQL statements that can form a unit and use it to perform database operations. Stored procedures can improve system performance, reduce development costs, and enhance database security.

However, when using stored procedures, you need to pay attention to the following issues:

Use stored procedures as little as possible. The execution plan of a stored procedure is only generated when the stored procedure is compiled, so if a query statement in the stored procedure changes, the execution plan may become invalid. Therefore, the use of stored procedures should be avoided as much as possible.

Embed the query statement into the stored procedure. If the query statement changes frequently, it should be embedded in a stored procedure so that the execution plan can be updated in a timely manner.

Use inline statements. Inline statements are common commands in stored procedures that can extract data, update data, and perform other operations.

3. Optimize the table structure

The table structure is one of the core components of the database and affects the performance and reliability of the database. Here are some ways to optimize your table structure:

Choose the right table type. MySql supports multiple table types, including InnoDB, MyISAM, etc. When selecting a table type, the appropriate table type should be selected based on the characteristics and uses of the table.

Avoid using NULL. NULL values ​​will affect query speed, so NULL should be avoided whenever possible.

Use the correct data type. Proper data typing improves performance by avoiding excessive input checking and conversion.

Use the correct column reference order. In SQL queries, the WHERE clause should start with the most selective column to minimize query time.

Use constraints. Constraints can help maintain data integrity and consistency. Constraints should be used to limit input and enforce uniqueness constraints and referential integrity.

Summary

MySql SQL statement optimization and reconstruction is one of the keys to improving MySQL database performance. By optimizing query statements, reconstructing stored procedures and optimizing table structures, the efficiency and reliability of the MySQL database can be greatly improved. In addition, you can also use the tools and technologies provided by MySql, such as indexing, partitioning, etc., to help improve database performance and reliability.

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