1. Information_schema
information_schema是mysql的信息数据库。通过该库可以查看mysql下面的数据库,表,权限等信息。
在数据库中会默认生成这个库。
在mysql终端可以查看所有数据库。
mysql> show databases;
2. 包含的表
查看下面包含的表
mysql> use information_schema;Database changedmysql> show tables;
3. SCHEMATA
包含所有数据库的信息
select * from SCHEMATA;会列出所有database的信息,与 show databases;相通。
4. TABLES
information_schema.tables表用来保存数据库中所有表的信息。
TABLE_SCHEMA: 数据库名称 TABLE_NAME: 表名称 TABLE_TYPE: BASE TABLE为基本数据表,VIEW为视图 ENGINE: 存储引擎InnoDB VERSION: 10 ROW_FORMAT: Compact TABLE_ROWS: 表行数,对于InnoDB表,在SQL优化中,行计数仅是大概估计值。 AVG_ROW_LENGTH: 平均行长度 DATA_LENGTH: 数据存储大小MAX_DATA_LENGTH: 0 INDEX_LENGTH: 索引大小 DATA_FREE: innodb表显示可用空间 AUTO_INCREMENT: 自增长id CREATE_TIME: 创建时间TABLE_COLLATION: 校对字符集gbk_chinese_ci查询一个表占用空间的大小
select concat(round(((INDEX_LENGTH+DATA_LENGTH)/1024/1024),2),'MB') as data from TABLES where table_schema='my_db' and table_name='my_table';表示my_db.my_table表占用索引和数据总和的大小。
5. COLUMNS
columns表中包含所有数据库中的字段信息。
包含字段的数据库,表,校对编码,权限等信心
6. TRIGGERS
关于mysql触发程序的信息。

MySQL index cardinality has a significant impact on query performance: 1. High cardinality index can more effectively narrow the data range and improve query efficiency; 2. Low cardinality index may lead to full table scanning and reduce query performance; 3. In joint index, high cardinality sequences should be placed in front to optimize query.

The MySQL learning path includes basic knowledge, core concepts, usage examples, and optimization techniques. 1) Understand basic concepts such as tables, rows, columns, and SQL queries. 2) Learn the definition, working principles and advantages of MySQL. 3) Master basic CRUD operations and advanced usage, such as indexes and stored procedures. 4) Familiar with common error debugging and performance optimization suggestions, such as rational use of indexes and optimization queries. Through these steps, you will have a full grasp of the use and optimization of MySQL.

MySQL's real-world applications include basic database design and complex query optimization. 1) Basic usage: used to store and manage user data, such as inserting, querying, updating and deleting user information. 2) Advanced usage: Handle complex business logic, such as order and inventory management of e-commerce platforms. 3) Performance optimization: Improve performance by rationally using indexes, partition tables and query caches.

SQL commands in MySQL can be divided into categories such as DDL, DML, DQL, DCL, etc., and are used to create, modify, delete databases and tables, insert, update, delete data, and perform complex query operations. 1. Basic usage includes CREATETABLE creation table, INSERTINTO insert data, and SELECT query data. 2. Advanced usage involves JOIN for table joins, subqueries and GROUPBY for data aggregation. 3. Common errors such as syntax errors, data type mismatch and permission problems can be debugged through syntax checking, data type conversion and permission management. 4. Performance optimization suggestions include using indexes, avoiding full table scanning, optimizing JOIN operations and using transactions to ensure data consistency.

InnoDB achieves atomicity through undolog, consistency and isolation through locking mechanism and MVCC, and persistence through redolog. 1) Atomicity: Use undolog to record the original data to ensure that the transaction can be rolled back. 2) Consistency: Ensure the data consistency through row-level locking and MVCC. 3) Isolation: Supports multiple isolation levels, and REPEATABLEREAD is used by default. 4) Persistence: Use redolog to record modifications to ensure that data is saved for a long time.

MySQL's position in databases and programming is very important. It is an open source relational database management system that is widely used in various application scenarios. 1) MySQL provides efficient data storage, organization and retrieval functions, supporting Web, mobile and enterprise-level systems. 2) It uses a client-server architecture, supports multiple storage engines and index optimization. 3) Basic usages include creating tables and inserting data, and advanced usages involve multi-table JOINs and complex queries. 4) Frequently asked questions such as SQL syntax errors and performance issues can be debugged through the EXPLAIN command and slow query log. 5) Performance optimization methods include rational use of indexes, optimized query and use of caches. Best practices include using transactions and PreparedStatemen

MySQL is suitable for small and large enterprises. 1) Small businesses can use MySQL for basic data management, such as storing customer information. 2) Large enterprises can use MySQL to process massive data and complex business logic to optimize query performance and transaction processing.

InnoDB effectively prevents phantom reading through Next-KeyLocking mechanism. 1) Next-KeyLocking combines row lock and gap lock to lock records and their gaps to prevent new records from being inserted. 2) In practical applications, by optimizing query and adjusting isolation levels, lock competition can be reduced and concurrency performance can be improved.


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