MySQL query performance optimization needs to start from the core points, including rational use of indexes, optimization of SQL statements, table structure design and partitioning strategies, and utilization of cache and monitoring tools. 1. Use indexes reasonably: Create indexes on commonly used query fields, avoid full table scanning, pay attention to the combined index order, do not add indexes in low selective fields, and avoid redundant indexes. 2. Optimize SQL queries: Avoid SELECT*, do not use functions in WHERE, reduce subquery nesting, and optimize paging query methods. 3. Table structure design and partitioning: select paradigm or anti-paradigm according to read and write scenarios, select appropriate field types, clean data regularly, and consider horizontal tables to divide tables or partition by time. 4. Utilize cache and monitoring: Use Redis cache to reduce database pressure and enable slow query

Temporary tables are tables with limited scope, and memory tables are tables with different storage methods. Temporary tables are visible in the current session and are automatically deleted after the connection is disconnected. Various storage engines can be used, which are suitable for saving intermediate results and avoiding repeated calculations; 1. Temporary tables support indexing, and multiple sessions can create tables with the same name without affecting each other; 2. The memory table uses the MEMORY engine, and the data is stored in memory, and the restart is lost, which is suitable for cache small data sets with high frequency access; 3. The memory table supports hash indexing, and does not support BLOB and TEXT types, so you need to pay attention to memory usage; 4. The life cycle of the temporary table is limited to the current session, and the memory table is shared by all connections. When choosing, it should be decided based on whether the data is private, whether high-speed access is required and whether it can tolerate loss.

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The security of remote access to MySQL can be guaranteed by restricting permissions, encrypting communications, and regular audits. 1. Set a strong password and enable SSL encryption. Force-ssl-mode=REQUIRED when connecting to the client; 2. Restrict access to IP and user rights, create a dedicated account and grant the minimum necessary permissions, and disable root remote login; 3. Configure firewall rules, close unnecessary ports, and use springboard machines or SSH tunnels to enhance access control; 4. Enable logging and regularly audit connection behavior, use monitoring tools to detect abnormal activities in a timely manner to ensure database security.

The method of viewing the storage engine of MySQL is as follows: 1. You can use the command SHOWVARIABLESLIKE'default_storage_engine'; 2. You can use the storage engine used to view a certain table to view the storage engine through SHOWCREATETABLE or query information_schema.TABLES; 3. You can use SELECTTABLE_NAME,ENGINEFROMinformation_schema.TABLESWHERETABLE_SCHEMA='your_database'; 4. Other methods include on the command line

To configure MySQL's SSL/TLS encrypted connection, first generate a self-signed certificate and correctly configure the server and client settings. 1. Use OpenSSL to generate CA private key, CA certificate, server private key and certificate request, and sign the server certificate yourself; 2. Place the generated certificate file in the specified directory, and configure the ssl-ca, ssl-cert and ssl-key parameters in my.cnf or mysqld.cnf and restart MySQL; 3. Force SSL on the client, restrict users from connecting only through SSL through the GRANTUSAGE command, or specify the --ssl-mode=REQUIRED parameter when connecting; 4. After logging in, execute \s to check SSL status confirmation

To reset the starting value of the MySQL self-increment field, you can set the AUTO_INCREMENT value through ALTERTABLE, clear the table and reset it with TRUNCATE, or manually set it after DELETE; you can check the current self-increment value and execute SHOWCREATETABLEyour_table_name; information similar to AUTO_INCREMENT=100 will be displayed in the output; when setting manually, make sure that the setting value is the current maximum ID 1, otherwise MySQL will automatically adjust; TRUNCATE will delete data and reset the self-increment value, but DELETE will not; be careful that the actual maximum ID 1 may be restored after the InnoDB engine restarts to avoid conflicts caused by too small settings.

CTE is a temporary result set in MySQL used to simplify complex queries. It can be referenced multiple times in the current query, improving code readability and maintenance. For example, when looking for the latest orders for each user in the orders table, you can first obtain the latest order date for each user through the CTE, and then associate it with the original table to obtain the complete record. Compared with subqueries, the CTE structure is clearer and the logic is easier to debug. Usage tips include explicit alias, concatenating multiple CTEs, and processing tree data with recursive CTEs. Mastering CTE can make SQL more elegant and efficient.