sqlserver 系统存储过程这样大家就知道这些存储过程的作用了。
/*存储过程*/sp_databases --列出服务器上的所有数据库
sp_server_info --列出服务器信息,如字符集,版本和排列顺序
sp_stored_procedures--列出当前环境中的所有存储过程
sp_tables --列出当前环境中所有可以查询的对象
sp_start_job --立即启动自动化任务
sp_stop_job --停止正在执行的自动化任务
sp_password --添加或修改登录帐户的密码
sp_configure --显示(不带选项)或更改(带选项)当前服务器的全局配置设置
sp_help --返回表的列名,数据类型,约束类型等
sp_helptext --显示规则,默认值,未加密的存储过程,用户定义的函数,
--触发器或视图的实际文本
sp_helpfile --查看当前数据库信息
sp_dboption --显示或更改数据库选项
sp_detach_db --分离数据库
sp_attach_db --附加数据库
sp_addumpdevice --添加设备
sp_dropdevice --删除设备
sp_pkeys --查看主键
sp_fkeys --查看外键
sp_helpdb --查看指定数据库相关文件信息
sp_addtype --自建数据类型
sp_droptype --删除自建数据类型
sp_rename --重新命名数据库
sp_executesql --执行SQL语句
sp_addlogin --添加登陆
sp_droplogin --删除登录
sp_grantdbaccess --把用户映射到登录,即添加一个数据库安全帐户并授予塔访问权限
sp_revokedbaccess--撤销用户的数据访问权,即从数据库中删除一个安全帐户
sp_addrole --添加角色
sp_addrolemember --向角色中添加成员,使其成为数据库角色的成员
sp_addsrvrolemember--修改登录使其成为固定服务器角色的成员
sp_grantlogin --允许使用组帐户或系统用户使用Windows身份验证连接到SQL
sp_defaultdb --修改一个登录的默认数据库
sp_helpindex --用于查看表的索引
sp_cursoropen --定义与游标和游标选项相关的SQL语句,然后生成游标
sp_cursorfetch --从游标中提取一行或多行
sp_cursorclose --关闭并释放游标
sp_cursoroption --设置各种游标选项
sp_cursor --用于请求定位更新
sp_cursorprepare --把与游标有关的T-SQL语句或编译成执行计划,但并不创建游标
sp_cursorexecute --从由sp_cursorprepare创建的执行计划中创建并填充游标
sp_cursorunprepare --废弃由sp_cursorprepare生成的执行计划
sp_settriggerorder --指定第一个或最后一个激发的、与表关联的 AFTER 触发器。在第一个
--和最后一个触发器之间激发的 AFTER 触发器将按未定义的顺序执行

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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