Using indexes: Creating indexes properly can improve query performance by creating appropriate indexes based on query conditions and table structure to avoid full table scans.
Optimize the query: Avoid using SELECT * and only choose the necessary fields to minimize the size of the query result set. Make sure that the join fields have indexes when using JOIN operations.
Avoid using subqueries: Using subqueries can increase the complexity and cost of a query, it is better to avoid using them whenever possible and instead optimize by using JOIN operations or temporary tables.
Optimize table design: design table structures sensibly, avoid redundant fields and duplicate data, reduce the size and complexity of tables.
Process data in batches: To handle a large amount of data, it is possible to process it in batches by using LIMIT and OFFSET for paginated querying, reducing memory usage.
Avoid using temporary tables: Temporary tables can increase query overhead, so it is best to avoid using them. Instead, try optimizing the query statement or using memory tables as a substitute.
Avoid excessive connections: Connecting to the MySQL database consumes resources, so try to minimize the number of connections and consider using a connection pool to manage database connections.
Cache query results appropriately: To reduce the pressure on the database and enhance query performance, caching can be used for frequently queried data.
Regularly optimize tables: Regularly optimizing and repairing tables can be done using the OPTIMIZE TABLE command to optimize table structure and indexes.
Avoid using unnecessary functions: Using certain MySQL built-in functions can increase query overhead, so it is best to avoid using unnecessary functions and optimize queries by rewriting them.
