C#数字类型的数据包括decimal, double和 float。以前学过现在忘得都差不多了,现在简单的复习一下。 根据MSDN的解释, decimal类型是128位的浮点数,数据范围是1.010 28 to 7.910 28 ,精度在28-29位有效数字,在一个数字后面加m或M代表它是decimal类型。 do
C#数字类型的数据包括decimal, double和 float。以前学过现在忘得都差不多了,现在简单的复习一下。
根据MSDN的解释,
decimal类型是128位的浮点数,数据范围是±1.0 × 10−28 to ±7.9 × 1028,精度在28-29位有效数字,在一个数字后面加m或M代表它是decimal类型。
double类型是64位的浮点数,数据范围是±5.0 × 10−324 to ±1.7 × 10308,精度在15-16位有效数字,在一个数字后面加d或D代表它是double类型。正常的带小数点的数字都会默认为double类型,如果想让一个整形作为double类型处理,就在后面加上d或D. 相比之下,decimal类型比double类型精度高,但是范围相对小一些。
float类型是32位的浮点数,数据范围是±1.5 × 10−45 to ±3.4 × 1038,精度是7位,在一个数字后面加f或F代表它是float类型。可以看出,它比decimal类型精度小很多,但是范围要大一些。
对于sqlserver里的money类型,它8位的,数据范围在-922,337,203,685,477.5808 到922,337,203,685,477.5807之间得数据类型,
smallmoney则是4位的在- 214,748.3648 到214,748.3647之间。
在sqlserver中还有数字类型,就是decimal和numeric,它们是相同的,具有可以指定的精度(有效数字位数)和规格,最大范围是- 10^38 +1 到10^38 - 1。
下表表示了精度和存储位数的关系:
精度 | 存储位数 |
---|---|
1 - 9 |
5 |
10-19 |
9 |
20-28 |
13 |
29-38 |
17 |

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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