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- Optimizing Slow Running Queries in a MySQL Database
- TofixslowMySQLqueries,firstidentifyproblemqueriesusingtheslowquerylogandtoolslikept-query-digest.Second,analyzethemwithEXPLAINtofindfulltablescansormissingindexes.Third,optimizequeriesbyselectingonlyneededcolumns,avoidingfunctionsonindexedcolumns,sim
- Mysql Tutorial . Database 456 2025-07-05 02:26:30
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- Best practices for MySQL database schema design
- Designing an efficient and scalable MySQL database structure requires starting from four aspects: data type, indexing strategy, standardization and anti-standardization and naming specifications. 1. Reasonably select the field type. If INT is used instead of BIGINT, CHAR is better than VARCHAR (fixed length), and DATETIME or TIMESTAMP is preferred in the time field to avoid abuse of TEXT/BLOB, and enumeration classes can be used for ENUM or small table foreign keys; 2. Use the index correctly, do not create indexes in low-cardinal sequences, avoid fuzzy matching failure, combine indexes follow the principle of leftmost prefix, and regularly analyze slow query logs; 3. Fight normalization and anti-standardization, appropriately redundant commonly used fields to reduce JOIN, wide tables or JSON fields can be used for scenarios that read more and write less, but the number of needs to be prevented
- Mysql Tutorial . Database 622 2025-07-05 02:19:00
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- Using AUTO_INCREMENT for Generating Unique IDs in MySQL
- Use AUTO_INCREMENT to automatically assign unique IDs without manual management. It is incremented from 1 by default. The ID will not be reused after deleting the record. The starting value can be set through ALTERTABLE. Different storage engines behave differently, such as InnoDB may skip certain values ??after restarting. Notes include avoiding manual insertion of duplicate IDs, considering conflict resolution during replication, choosing appropriate data types such as BIGINT, and scalability issues under high concurrency.
- Mysql Tutorial . Database 634 2025-07-05 02:08:40
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- Implementing Table Partitioning for Large Datasets in MySQL
- MySQL partitions large tables to improve query performance and management efficiency. Selecting the appropriate partition type is the key: 1. RANGE is suitable for time or numerical range, such as logs are divided by date; 2. LIST is suitable for discrete values, such as region number; 3. HASH is used to uniformly distribute data, such as user ID; 4. KEY is automatically processed by MySQL, suitable for scenarios without obvious logic. The partition key needs to participate in the WHERE condition, avoid frequent column updates, and pay attention to the boundary value setting. Regular maintenance includes adding, merging, splitting, or deleting partitions. However, not all large tables are applicable. We need to consider the impact of data distribution, index usage and number of partitions on performance. We recommend that you make a decision after testing.
- Mysql Tutorial . Database 1006 2025-07-05 02:05:11
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- Principles of MySQL Database Schema Optimization
- MySQL database performance optimization should start with schema design. First, select the appropriate data type, such as using TINYINT instead of INT to represent the status, avoid abuse of TEXT/BLOB types, and use DATETIME and TIMESTAMP reasonably; second, use indexes reasonably, avoid indexing in low-base sequences, pay attention to the joint index order, regularly analyze SQL execution plans and clean up invalid indexes; third, balance the standardization and anti-standardization of table structure, appropriate redundancy reduces JOIN operations, but the application layer needs to maintain consistency; finally, unified naming specifications improve maintainability, such as using clear table names, field names and foreign key naming rules.
- Mysql Tutorial . Database 734 2025-07-05 01:49:50
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- Selecting the Optimal Storage Engine for MySQL Tables
- InnoDB is suitable for scenarios that require transactions, concurrent writes and crash recovery, such as e-commerce platforms or banking systems; MyISAM is suitable for static tables that require more reads, writes less, and does not require transactions, such as log systems; other engines such as Memory and Archive are suitable for specific purposes. When choosing, you should decide based on workload and data requirements, and InnoDB is recommended in most cases.
- Mysql Tutorial . Database 253 2025-07-05 01:28:01
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- Troubleshooting Common MySQL Connection Errors
- When encountering MySQL connection problems, 1. First confirm whether the user name and password are correct, and check whether there are spelling errors or permission restrictions; 2. Ensure that the MySQL service is running normally, restart the service and view the logs if necessary; 3. Verify that the network is unobstructed, ensure that the port is open and there is no firewall blocking; 4. Check the binding address, connection limit and SSL settings in the MySQL configuration file to ensure that the configuration allows external connections.
- Mysql Tutorial . Database 867 2025-07-05 01:24:01
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- Understanding MySQL error codes and common resolutions
- Common MySQL errors include 1045 access denied, 2002 unable to connect to the local server, 1064SQL syntax error, and 1215 foreign key constraint failure. 1. Error 1045 requires checking the username, password, permission configuration and remote connection settings; 2. Error 2002 requires confirming the running status of MySQL service and socket path configuration; 3. Error 1064 requires checking the syntax, keyword usage and file format; 4. Error 1215 requires ensuring that the engine is InnoDB, the data type is consistent, and the reference column is indexed. Mastering these core problems and solutions can quickly deal with most MySQL errors.
- Mysql Tutorial . Database 654 2025-07-05 00:48:51
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- The Granular Nature of MySQL Privileges System
- The MySQL permission system recognizes identity through the user host and supports four-level permission controls for global, database, table and columns. 1. User permissions are bound to the host, and the same user can log in from different hosts different permissions; 2. Permissions are divided into global (all databases), database level (all tables in a certain library), table level (a certain table), and column level (specific fields); 3. After authorization, FLUSHPRIVILEGES or a new connection must be performed before it can take effect; version 4.8.0 introduces role functions, which can be managed in batches through roles and requires manual activation of role permissions.
- Mysql Tutorial . Database 520 2025-07-05 00:28:11
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- Using Triggers to Automate Actions in MySQL
- The trigger is a database object associated with a table in MySQL, and can automatically execute predefined SQL statements. It is triggered when INSERT, UPDATE or DELETE operations occur and is used in scenarios such as data synchronization, audit logs, automatic checksum cascade operations, etc. To create a trigger, you need to specify the name, trigger time (BEFORE/AFTER), event type and execution logic, such as automatically reducing inventory when an order is added. When using it, you should pay attention to debugging difficulties, performance impact, high maintenance costs, etc., and keep the logic concise, clear naming, and complete documentation.
- Mysql Tutorial . Database 742 2025-07-05 00:11:41
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- Scheduling Tasks with the MySQL Event Scheduler
- The MySQL event scheduler is turned off by default and needs to be turned on manually. First run SHOWVARIABLESLIKE'event_scheduler' to check the status. If it is OFF, use SETGLOBALevent_scheduler=ON to temporarily turn on, or add event_scheduler=ON in my.cnf/my.ini to achieve permanent effect; use the CREATEEVENT statement to create events, such as an example of clearing the log table at 2 a.m. every day: CREATEEVENTclear_log_tableONSCHEDULEEVERY1DAYSTARTSTIMESTAMP(CURRENT
- Mysql Tutorial . Database 903 2025-07-05 00:04:41
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- Detecting and Resolving Deadlocks in MySQL InnoDB
- When a deadlock is discovered, you need to view the error log or execute SHOWENGINEINNODBSTATUS; common reasons include inconsistent access order, too long transactions, missing indexes, and competition for hot data; measures to reduce deadlock include unified access order, shortening transaction life cycle, rationally designing indexes, executing operations in batches, and application layer retry; After a deadlock occurs, InnoDB will automatically roll back a transaction. At this time, the deadlock details should be analyzed and the logic should be optimized. Innodb_print_all_deadlocks can also be turned on to record all deadlock information for subsequent analysis.
- Mysql Tutorial . Database 751 2025-07-04 02:54:40
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- Best Ways to Configure MySQL for Production Environments
- To optimize the configuration of MySQL production environment, we need to start from four aspects: memory, log monitoring, security and I/O. 1. Adjust innodb_buffer_pool_size to 50%~80% of physical memory, and reasonably set parameters such as key_buffer_size, max_connections to improve performance; 2. Enable slow query logs, error logs and binary logs, and integrate monitoring tools to achieve real-time alarms; 3. Restrict remote access permissions, disable unnecessary functions, enable password policies and configure SSL encryption to enhance security; 4. Use SSD to improve disk performance, separate data and log directories, adjust I/O parameters, and optimize file system configuration.
- Mysql Tutorial . Database 321 2025-07-04 02:49:51
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- Creating and Managing Database Views in MySQL
- The database view is a virtual table in MySQL, which is dynamically generated through SQL queries, and is used to simplify complex queries and improve security. 1. The view does not store data and relies on actual tables to generate content dynamically; 2. The creation syntax is CREATEVIEW, which can encapsulate common query logic; 3. Common uses of views include simplifying multi-table connections, restricting sensitive data access, providing unified interfaces, and aggregating data display; 4. The views can be modified or deleted through ALTERVIEW or DROPVIEW; 5. When using views, you need to pay attention to performance issues, avoid nesting complex logic, and regularly check execution efficiency.
- Mysql Tutorial . Database 469 2025-07-04 02:47:11
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