1.关键字 auto_increment 2.自增用法 例: CREATE TABLE animals ( id mediumint not null auto_increment, name char(30) not nu
1.关键字
auto_increment
2.自增用法
例:
CREATE TABLE animals ( id mediumint not null auto_increment,
name char(30) not null,
primary key (id));
3.关于自增
Q:怎么获得当前的自增的最大值?
A:select @@identity
Q:怎么获得table的当前自增最大值?
A:select max(id) from table
Q:对自增的理解?
A: 一般情况下获取刚插入的数据的id,使用select max(id) from table 是可以的。LAST_INSERT_ID 是与table无关的,如果向表a插入数据后,再向表b插入数据,LAST_INSERT_ID会改变。
使用单INSERT语句插入多条记录, LAST_INSERT_ID返回一个列表。
@@identity是表示的是最近一次向具有identity属性(即自增列)的表插入数据时对应的自增列的值,是系统定义的全局变量。比如有个表A,它的自增列是id,当向A表插入一行数据后,如果插入数据后自增列的值自动增加至101,则通过select@@identity得到的值就是101。
注:LAST_INSERT_ID是一个函数.
用法:LAST_INSERT_ID()
Q:MYSQL中的LAST_INSERT_ID()和MSSQL中的@@IDENTITY
A:按照应用需要,常常要取得刚刚插入数据库表里的记录的ID值。
在MYSQL中可以使用LAST_INSERT_ID()函数,,在MSSQL中使用@@IDENTITY。挺方便的一个函数。
但是,这里需要注意的是,当使用INSERT语句插入多条记录的时候,使用LAST_INSERT_ID()返回的还是第一条的ID值,而@@IDENTITY返回最后一条。
Q:mysql_insert_id()与LAST_INSERT_ID()
A:mysql_insert_id() 将 MySQL 内部的 C API 函数 mysql_insert_id() 的返回值转换成 long(PHP中命名为int)。如果 AUTO_INCREMENT 的列的类型是 BIGINT,则 mysql_insert_id() 返回的值将不正确。可以在 SQL查询中用 MySQL 内部的 SQL 函数 LAST_INSERT_ID() 来替代。
MySQL的LAST_INSERT_ID()的介绍 mysql_insert_id()就是调用LAST_INSERT_ID()来实现的。
在mysql中用last_insert_id()....在程序中用mysql_insert_id().

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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