mysql中int、bigint、smallint 和 tinyint的区别_MySQL
使用整数数据的精确数字数据类型。
bigint
从 -2^63 (-9223372036854775808) 到 2^63-1 (9223372036854775807) 的整型数据(所有数字)。存储大小为 8 个字节。
int
从 -2^31 (-2,147,483,648) 到 2^31 - 1 (2,147,483,647) 的整型数据(所有数字)。存储大小为 4 个字节。int 的 SQL-92 同义字为 integer。
smallint
从 -2^15 (-32,768) 到 2^15 - 1 (32,767) 的整型数据。存储大小为 2 个字节。
tinyint
从 0 到 255 的整型数据。存储大小为 1 字节。
注释
在支持整数值的地方支持 bigint 数据类型。但是,bigint 用于某些特殊的情况,当整数值超过 int 数据类型支持的范围时,就可以采用 bigint。在 SQL Server 中,int 数据类型是主要的整数数据类型。
在数据类型优先次序表中,bigint 位于 smallmoney 和 int 之间。
只有当参数表达式是 bigint 数据类型时,函数才返回 bigint。SQL Server 不会自动将其它整数数据类型(tinyint、smallint 和 int)提升为 bigint。
在MySQL的数据类型中,Tinyint的取值范围是:带符号的范围是-128到127。无符号的范围是0到255(见官方《MySQL 5.1参考手册》http://dev.mysql.com/doc/refman/5.1/zh/column-types.html#numeric-types)。
Tinyint占用1字节的存储空间,即8位(bit)。那么Tinyint的取值范围怎么来的呢?我们先看无符号的情况。无符号的最小值即全部8位(bit)都为0,换算成十进制就是0,所以无符号的Tinyint的最小值为0.无符号的最大值即全部8bit都为1,11111111,换算成十进制就是255.这很好理解。
有符号的Tinyint的取值范围是怎么来的呢?在计算机中,用最高位表示符号。0表示正,1表示负,剩下的表示数值。那么有符号的8bit的最小值就是
1 1 1 1 1 1 1 1=-127
表示负值
最大值:
0 1 1 1 1 1 1 1=+127
表示正值
怎么有符号的最小值是-127,而不是-128呢?这就是本文要说的关键地方了,在计算机中,表示负值是用补码(正码、反码、补码的概念见http://indian.blog.163.com/blog/static/1088158200610942745817/)
为什么有符号的TINYINT的最小值是-128?虽然“-0”也是“0”,但根据正、反、补码体系,“-0”的补码和“+0”是不同的,这样就出现两个补码代表一个数值的情况。为了将补码与数字一一对应,所以人为规定“0”一律用“+0”代表。同时为了充分利用资源,就将原来本应该表示“-0”的补码规定为代表-128

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

Full table scanning may be faster in MySQL than using indexes. Specific cases include: 1) the data volume is small; 2) when the query returns a large amount of data; 3) when the index column is not highly selective; 4) when the complex query. By analyzing query plans, optimizing indexes, avoiding over-index and regularly maintaining tables, you can make the best choices in practical applications.

Yes, MySQL can be installed on Windows 7, and although Microsoft has stopped supporting Windows 7, MySQL is still compatible with it. However, the following points should be noted during the installation process: Download the MySQL installer for Windows. Select the appropriate version of MySQL (community or enterprise). Select the appropriate installation directory and character set during the installation process. Set the root user password and keep it properly. Connect to the database for testing. Note the compatibility and security issues on Windows 7, and it is recommended to upgrade to a supported operating system.

InnoDB's full-text search capabilities are very powerful, which can significantly improve database query efficiency and ability to process large amounts of text data. 1) InnoDB implements full-text search through inverted indexing, supporting basic and advanced search queries. 2) Use MATCH and AGAINST keywords to search, support Boolean mode and phrase search. 3) Optimization methods include using word segmentation technology, periodic rebuilding of indexes and adjusting cache size to improve performance and accuracy.

The difference between clustered index and non-clustered index is: 1. Clustered index stores data rows in the index structure, which is suitable for querying by primary key and range. 2. The non-clustered index stores index key values and pointers to data rows, and is suitable for non-primary key column queries.

MySQL is an open source relational database management system. 1) Create database and tables: Use the CREATEDATABASE and CREATETABLE commands. 2) Basic operations: INSERT, UPDATE, DELETE and SELECT. 3) Advanced operations: JOIN, subquery and transaction processing. 4) Debugging skills: Check syntax, data type and permissions. 5) Optimization suggestions: Use indexes, avoid SELECT* and use transactions.

In MySQL database, the relationship between the user and the database is defined by permissions and tables. The user has a username and password to access the database. Permissions are granted through the GRANT command, while the table is created by the CREATE TABLE command. To establish a relationship between a user and a database, you need to create a database, create a user, and then grant permissions.

MySQL supports four index types: B-Tree, Hash, Full-text, and Spatial. 1.B-Tree index is suitable for equal value search, range query and sorting. 2. Hash index is suitable for equal value searches, but does not support range query and sorting. 3. Full-text index is used for full-text search and is suitable for processing large amounts of text data. 4. Spatial index is used for geospatial data query and is suitable for GIS applications.

MySQL and MariaDB can coexist, but need to be configured with caution. The key is to allocate different port numbers and data directories to each database, and adjust parameters such as memory allocation and cache size. Connection pooling, application configuration, and version differences also need to be considered and need to be carefully tested and planned to avoid pitfalls. Running two databases simultaneously can cause performance problems in situations where resources are limited.
