current location:Home > Technical Articles > Daily Programming > Mysql Knowledge
- Direction:
- All web3.0 Backend Development Web Front-end Database Operation and Maintenance Development Tools PHP Framework Daily Programming WeChat Applet Common Problem Other Tech CMS Tutorial Java System Tutorial Computer Tutorials Hardware Tutorial Mobile Tutorial Software Tutorial Mobile Game Tutorial
- Classify:
- PHP tutorial MySQL Tutorial HTML Tutorial CSS Tutorial
-
- Managing table partitioning for large datasets in MySQL
- Table partitioning is to distribute large tables in multiple physical files according to rules to improve performance. Its importance lies in optimizing queries and simplifying maintenance. When choosing a suitable partition key, you need to consider the data access mode: 1. Priority is used for RANGE partitioning with the time field; 2. Avoid frequent updates of fields; 3. Select hash or list partitions based on common fields for query. Common types include RANGE suitable for dates, LIST for enumeration values, evenly distributed HASH and KEY partitions. During maintenance, partitions need to be added, merged and deleted old data regularly. Note that the partition key should be the primary key part and the query must have a partition key to achieve cropping.
- Mysql Tutorial . Database 903 2025-07-08 01:15:01
-
- Backing Up a MySQL Database Using mysqldump
- The basic commands for backing up the database of mysqldump are: mysqldump-u username-p database name> backup file.sql; 1. You can use the --databases parameter for backing up multiple databases at once, such as: mysqldump-u user-p--databasesdb1db2> multi-store backup.sql; 2. You can use the --all-databases parameter for backing up all databases; 3. To save space, you can combine gzip compression, such as: mysqldump-u user-p database|gzip> backup.sql.gz; 4. Automatic backup can be implemented by writing scripts and cooperating with cron timing execution.
- Mysql Tutorial . Database 482 2025-07-08 01:12:41
-
- Approaches to Scaling MySQL Database for High Load
- The MySQL stand-alone bottleneck can be solved through read and write separation, library separation, cache and asynchronous processing and other optimization methods. 1. Read and write separation is realized through master-slave replication. The main library processes write requests, and the slave library processes read requests, and combines connection pools to improve efficiency, but attention should be paid to the asynchronous replication delay problem; 2. The sub-repository sub-table includes vertical split (split by field) and horizontal split (split by rules), which is suitable for large data scenarios and requires middleware to handle complex queries; 3. Caching can reduce database pressure, use Redis or Memcached to cache hotspot data, and combines message queues to asynchronously process non-real-time write operations; 4. Other optimizations include slow query analysis, parameter tuning, connection pool management and SQL optimization, and detailed processing is crucial to performance improvement.
- Mysql Tutorial . Database 880 2025-07-08 00:54:41
-
- Implementing Full-Text Search Capabilities in MySQL
- MySQL supports full-text search, but it needs to be paid attention to its mechanism and limitations. Full-text index is based on "word", supports natural language and Boolean pattern query, and is only applicable to CHAR, VARCHAR and TEXT type columns. 1. Creation methods include adding or adding existing tables when creating tables; 2. Use MATCH() AGAINST() in query, and you can choose natural language or Boolean mode; 3. Notes include the default minimum word length is 4. Chinese word segmentation needs to be processed manually; 4. Limitations include word segmentation problems, performance bottlenecks, update delays and weak fuzzy matching. It is recommended to combine tools such as Elasticsearch to make up for the shortcomings.
- Mysql Tutorial . Database 726 2025-07-08 00:46:31
-
- Working with NULL and Three-Valued Logic in MySQL
- NULL in MySQL represents an unknown value and cannot be judged by ordinary comparison characters. ISNULL or ISNOTNULL must be used. 1. When NULL participates in comparison, it will not be accepted as TRUE by the WHERE condition; 2. Aggregation functions such as SUM and AVG will ignore NULL, COUNT(*) counts all rows, COUNT(column) does not count NULL; 3. CoALESCE() or IFNULL() can be used to replace the default value; 4. Key fields should be set to NOTNULL when creating tables; 5. Special attention should be paid to the impact of NULL in JOIN and WHERE conditions.
- Mysql Tutorial . Database 540 2025-07-07 02:14:20
-
- Handling large object (BLOB/TEXT) data efficiently in MySQL
- When dealing with large object data in MySQL, you need to pay attention to performance optimization issues. 1. Reasonably select the field type and select TEXT or BLOB subtypes of different capacity according to actual needs to avoid space waste and performance burden; 2. Avoid returning large fields in frequent queries, clearly list the required fields, use overlay indexes, or disassemble large fields to improve efficiency; 3. Optimize storage and IO strategies, such as external storage files, compressed content, partition management and reduce updates to large fields in transactions; 4. Use indexes carefully, TEXT/BLOB needs to specify the prefix length to build an index, reasonably set the prefix length and design the index effectiveness in combination with the query pattern.
- Mysql Tutorial . Database 908 2025-07-07 02:13:21
-
- Securing Your MySQL Server Against Common Vulnerabilities
- The following measures are required to strengthen the MySQL server: 1. Use strong passwords and restrict permissions, delete unnecessary users, avoid root remote login, and use GRANT and REVOKE to finely control access; 2. Close unnecessary services and ports, limit the access range of port 3306, and disable non-essential functions such as skip-networking and local_infile; 3. Regularly update the database version and enable log audit, and enable slow query, error, general and binary logs to track suspicious behavior; ensure database security by continuously paying attention to configuration, permissions, updates and monitoring.
- Mysql Tutorial . Database 957 2025-07-07 02:06:10
-
- Benefits and Configuration of MySQL Connection Pooling
- Using connection pools can improve database access efficiency and resource utilization. 1. Connection pool reduces connection establishment overhead, controls the number of connections, improves response speed, and optimizes resource usage, especially in high-concurrency scenarios such as e-commerce orders. 2. Common connection pooling components include HikariCP, Druid, C3P0 and DBCP in Java, as well as SQLAlchemy and mysql-connector-python in Python. 3. When configuring, you need to pay attention to parameters such as minimumIdle, maximumPoolSize, connectionTimeout, etc. For example, the recommended configuration of HikariCP is as minimum idle 5 and maximum connection 20. 4. Note
- Mysql Tutorial . Database 796 2025-07-07 02:02:50
-
- Understanding MySQL transaction isolation levels
- There are four types of transaction isolation levels in MySQL: ReadUncommitted, ReadCommitted, RepeatableRead, and Serializable. It is arranged in increments according to the degree of isolation, and RepeatableRead is used by default. 1. ReadUncommitted may cause dirty reading, non-repeatable reading, or phantom reading; 2. ReadCommitted prevents dirty reading, but may cause non-repeatable reading and phantom reading; 3. RepeatableRead prevents dirty reading and non-repeatable reading, and phantom reading is also avoided through the Next-Key lock mechanism in InnoDB; 4. Serializable prevents all concurrency problems, but
- Mysql Tutorial . Database 279 2025-07-07 01:56:41
-
- Connecting to MySQL Database Using the Command Line Client
- The most direct way to connect to MySQL database is to use the command line client. First enter the mysql-u username -p and enter the password correctly to enter the interactive interface; if you connect to the remote database, you need to add the -h parameter to specify the host address. Secondly, you can directly switch to a specific database or execute SQL files when logging in, such as mysql-u username-p database name or mysql-u username-p database name
- Mysql Tutorial . Database 301 2025-07-07 01:50:00
-
- Managing Character Sets and Collations in MySQL
- The setting of character sets and collation rules in MySQL is crucial, affecting data storage, query efficiency and consistency. First, the character set determines the storable character range, such as utf8mb4 supports Chinese and emojis; the sorting rules control the character comparison method, such as utf8mb4_unicode_ci is case-sensitive, and utf8mb4_bin is binary comparison. Secondly, the character set can be set at multiple levels of server, database, table, and column. It is recommended to use utf8mb4 and utf8mb4_unicode_ci in a unified manner to avoid conflicts. Furthermore, the garbled code problem is often caused by inconsistent character sets of connections, storage or program terminals, and needs to be checked layer by layer and set uniformly. In addition, character sets should be specified when exporting and importing to prevent conversion errors
- Mysql Tutorial . Database 414 2025-07-07 01:41:51
-
- Practical Applications and Caveats of MySQL Triggers
- MySQL triggers can be used to automatically execute SQL statements to maintain data integrity, automate tasks, and implement business rules, but they need to be aware of their limitations. 1. Can be used for audit logs, data verification, derived field updates and cascading operations; 2. Not suitable for high-performance requirements, complex logic, hidden side effects scenarios; 3. Best practices include keeping concise, good documentation, avoiding circular dependencies, paying attention to trigger timing, adequate testing, and paying attention to the limitation of allowing only one trigger per table and event. Rational use can improve efficiency, but excessive dependence can lead to maintenance difficulties.
- Mysql Tutorial . Database 454 2025-07-07 01:37:20
-
- Leveraging Geographic Information System (GIS) Features in MySQL
- MySQLcanhandlebasicGIStaskswithitsspatialdatatypesandfunctions.ToworkwithgeographicdatainMySQL,usePOINTtostorecoordinates.UseST\_Distance\_Sphere()tofindpointswithinaradius.CreateSPATIALindexesforfastergeometrycontainmentchecks.UseMBRContains()orST\_
- Mysql Tutorial . Database 673 2025-07-07 01:28:50
-
- Ordering Query Results with the ORDER BY Clause in MySQL
- In MySQL queries, the ORDERBY clause can be used to display the results in a specific order. 1. Single-column sorting is implemented by specifying fields, default ascending order (ASC), or DESC can also be added to achieve descending order, such as SELECTname, priceFROMproductsORDERBYpriceDESC. 2. Multi-column sorting can define hierarchical sorting logic through multiple fields, such as SELECTname, age, created_atFROMusersORDERBYageASC, created_atDESC means that first ascending order by age and then descending order by registration time. 3. Usage techniques include using expression sorting, position numbering instead of column names (not recommended), and attention
- Mysql Tutorial . Database 385 2025-07-07 01:28:10
Tool Recommendations

