Using indexes: creating appropriate indexes in database tables can speed up query performance. Indexes can be created based on the fields and conditions of the query to avoid full table scans.
Avoid using SELECT *: Try to avoid using SELECT * to query all fields, instead only query the fields that are needed to reduce data transmission and processing costs.
Avoid using subqueries: Subqueries often lead to performance problems and can be replaced by techniques such as joining queries or using temporary tables.
Choose the appropriate data type to save storage space, reduce IO operations, and improve query speed.
Pagination search: To handle large amounts of data, pagination search can be used to reduce the amount of search results and improve search performance.
Cache query results: For data that is frequently queried and does not change often, it is beneficial to cache the query results to reduce the number of database queries.
Regularly cleaning data: Cleaning out unnecessary data and indexes can improve query performance and reduce the burden on the database.
Avoid unnecessary sorting: Try to refrain from using ORDER BY and GROUP BY in queries for sorting and grouping, as it can reduce the query’s time cost.
