sql server ql语句删除外键和删除
alter table tablename add constraint ordersrelationship
foreign key mployeeid
references employees (employeeid)
on delete cascade
on update cascade
alter table books add constrait 外健名--指定一下名
add foreign key (isbn) references readers(readerid);
alter table books drop constraint 外健名
设置表mybbs中的authorid为sql外键的方法及步骤进行了详细说明,希望对您能够有所启迪。
设置表mybbs中的authorid为sql server外键,参照author表的id字段,直接使用transact sql语句,过程如下:
--增加表mybbs(authorid)的sql server外键约束fk_mybbs_author,表mybbs中的authorid受表author中的sql server主键id约束:
begin transaction
alter table dbo.mybbs add constraint fk_mybbs_author
foreign key (authorid)
references dbo.author([id]) on update cascade on delete cascade
--删除sl外键约束fk_mybbs_author:
--alter table dbo.mybbs drop constraint fk_mybbs_author
--rollback
commit transaction
上面on update cascade,on delete cascade两个选项,指明以后author表的id字段有delete,update操作时,mybbs表中的id也会被级联删除或更新。如果没有选中,是不可以对author表中已被mybbs表关联的id进行update或者delete操作的。
看个实例
create table `board` (
`board_id` int(11) not null auto_increment,
`catalog_id` int(11) not null default '0',
`board_name` varchar(100) character set utf8 not null default '',
`board_descrip` varchar(255) character set utf8 default null,
`board_type` varchar(30) character set utf8 default null,
primary key (`board_id`),
key `外键` (`catalog_id`),
constraint `外键约束` foreign key (`catalog_id`) references `catalog` (`catalog_id`)on delete cascade on update cascade //级联删除的关键语句
) engine=innodb auto_increment=13 default charset=gbk;
sql外键两种用途:
1/, 最常用的一种: 减少重复数据.表a中拥有外键,表b的数据基本是不允许删除的.这时选择对 insert 和 update 强制关系即可.
2/,其次,是增加一个从属表. 如果表a删除一条记录时,表b中也随着删除一条相关联的记录,那么外键关系中,表a的主键是表b的外键。这种关系,实际上表b是表a的从属表(即表a是父表),选择对 insert 和 update 强制关系时,如果向表b中插入数据,表a中必须已经存在对应的记录。选择级联删除相关的字段时,删除表a中的一条记录,就会删除对应的表b中的一条记录。
*/
?>

InnoDBBufferPool reduces disk I/O by caching data and indexing pages, improving database performance. Its working principle includes: 1. Data reading: Read data from BufferPool; 2. Data writing: After modifying the data, write to BufferPool and refresh it to disk regularly; 3. Cache management: Use the LRU algorithm to manage cache pages; 4. Reading mechanism: Load adjacent data pages in advance. By sizing the BufferPool and using multiple instances, database performance can be optimized.

Compared with other programming languages, MySQL is mainly used to store and manage data, while other languages such as Python, Java, and C are used for logical processing and application development. MySQL is known for its high performance, scalability and cross-platform support, suitable for data management needs, while other languages have advantages in their respective fields such as data analytics, enterprise applications, and system programming.

MySQL is worth learning because it is a powerful open source database management system suitable for data storage, management and analysis. 1) MySQL is a relational database that uses SQL to operate data and is suitable for structured data management. 2) The SQL language is the key to interacting with MySQL and supports CRUD operations. 3) The working principle of MySQL includes client/server architecture, storage engine and query optimizer. 4) Basic usage includes creating databases and tables, and advanced usage involves joining tables using JOIN. 5) Common errors include syntax errors and permission issues, and debugging skills include checking syntax and using EXPLAIN commands. 6) Performance optimization involves the use of indexes, optimization of SQL statements and regular maintenance of databases.

MySQL is suitable for beginners to learn database skills. 1. Install MySQL server and client tools. 2. Understand basic SQL queries, such as SELECT. 3. Master data operations: create tables, insert, update, and delete data. 4. Learn advanced skills: subquery and window functions. 5. Debugging and optimization: Check syntax, use indexes, avoid SELECT*, and use LIMIT.

MySQL efficiently manages structured data through table structure and SQL query, and implements inter-table relationships through foreign keys. 1. Define the data format and type when creating a table. 2. Use foreign keys to establish relationships between tables. 3. Improve performance through indexing and query optimization. 4. Regularly backup and monitor databases to ensure data security and performance optimization.

MySQL is an open source relational database management system that is widely used in Web development. Its key features include: 1. Supports multiple storage engines, such as InnoDB and MyISAM, suitable for different scenarios; 2. Provides master-slave replication functions to facilitate load balancing and data backup; 3. Improve query efficiency through query optimization and index use.

SQL is used to interact with MySQL database to realize data addition, deletion, modification, inspection and database design. 1) SQL performs data operations through SELECT, INSERT, UPDATE, DELETE statements; 2) Use CREATE, ALTER, DROP statements for database design and management; 3) Complex queries and data analysis are implemented through SQL to improve business decision-making efficiency.

The basic operations of MySQL include creating databases, tables, and using SQL to perform CRUD operations on data. 1. Create a database: CREATEDATABASEmy_first_db; 2. Create a table: CREATETABLEbooks(idINTAUTO_INCREMENTPRIMARYKEY, titleVARCHAR(100)NOTNULL, authorVARCHAR(100)NOTNULL, published_yearINT); 3. Insert data: INSERTINTObooks(title, author, published_year)VA


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