以下的文章主要讲述的是MySQL数字类型的三种常用种类,我们大家都知道,不管是微小免费的MySQL数据库空间,还是比较大型的电子商务网站,对于相关的数据库来说其合理的相关设计表结构、充分利用空间都是十分必要的。 这就要求我们对数据库系统的常用数据类型
以下的文章主要讲述的是MySQL数字类型的三种常用种类,我们大家都知道,不管是微小免费的MySQL数据库空间,还是比较大型的电子商务网站,对于相关的数据库来说其合理的相关设计表结构、充分利用空间都是十分必要的。
这就要求我们对数据库系统的常用数据类型有充分的认识和合理的应用。下面我们将给大家介绍一点心得体会希望能帮助你在建库的时候能考虑的更加合理。
数字类型
MySQL数字类型按照我的分类方法分为三类:整数类、小数类和数字类。
MySQL数字类型之一我所谓的“数字类”
就是指 DECIMAL 和 NUMERIC,它们是同一种类型。它严格的说不是一种数字类型,因为他们实际上是将数字以字符串形式保存的;他的值的每一位 (包括小数点) 占一个字节的存储空间,因此这种类型耗费空间比较大。但是它的一个突出的优点是小数的位数固定,在运算中不会“失真”,所以比较适合用于“价格”、“金额”这样对精度要求不高但准确度要求非常高的字段。
MySQL数字类型之二小数类
即浮点数类型,根据精度的不同,有 FLOAT 和 DOUBLE 两种。它们的优势是精确度,FLOAT 可以表示绝对值非常小、小到约 1.17E-38 (0.000...0117,小数点后面有 37 个零) 的小数,而 DOUBLE 更是可以表示绝对值小到约 2.22E-308 (0.000...0222,小数点后面有 307 个零) 的小数。
FLOAT 类型和 DOUBLE 类型占用存储空间分别是 4 字节和 8 字节。如果需要用到小数的字段,精度要求不高的,当然用 FLOAT 了。可是说句实在话,我们“民用”的数据,哪有要求精度那么高的呢?这两种类型至今我没有用过――我还没有遇到适合于使用它们的事例。
MySQL数字类型之三整数类
用的最多的,最值得精打细算的,是整数类型。从只占一个字节存储空间的 TINYINT 到占 8 个字节的 BIGINT,挑选一个“够用”并且占用存储空间最小的类型是设计数据库时应该考虑的。TINYINT、SMALLINT、MEDIUMINT、INT 和 BIGINT 占用存储空间分别为 1 字节、2 字节、3 字节、4 字节和 8 字节,就无符号的整数而言,这些类型能表示的最大整数分别为 255、65535、16777215、4294967295 和 18446744073709551615。
如果用来保存用户的年龄 (举例来说,数据库中保存年龄是不可取的),用 TINYINT 就够了;九城的《纵横》里,各项技能值,用 SMALLINT 也够了;如果要用作一个肯定不会超过 16000000 行的表的 AUTO_INCREMENT 的 IDENTIFY 字段,当然用 MEDIUMINT 不用 INT,试想,每行节约一个字节,16000000 行可以节约 10 兆多呢。

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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