What methods can be used to optimize MySQL data queries?

The main methods for optimizing MySQL data queries include the following:

1. Utilize appropriate indexes: Creating indexes on a table’s fields can greatly enhance query performance. Ensure that indexes are created on fields commonly used for querying and avoid creating an excessive amount of indexes.
2. Avoid using wildcard queries: Try to avoid using wildcards (such as “%”) in query conditions, as they can result in a full table scan and impact query performance.
3. Selecting appropriate data types can reduce storage space and improve query performance. For example, using integers instead of characters to store numerical data.
4. Reduce the number of queries: try to combine multiple queries into one complex query to decrease interactions with the database and improve query efficiency.
5. Using stored procedures and triggers: These can perform complex operations within the database, reducing data transmission between applications and databases, and improving query performance.
6. Avoid using SELECT: try to avoid using SELECT to query all fields, instead only select the necessary fields to reduce data transmission.
7. Analyze query plans using EXPLAIN: By using the EXPLAIN command, you can analyze the execution plan of a query to help optimize the query statement.
8. Regularly optimizing table structures, such as deleting unused indexes and cleaning up expired data, can improve query performance.