DateDiff函数实现日期计划加减
在我们还不知道sql中有DateDiff()函数之前我们要计算日期时间差值我会直接把它放到像php,asp,asp.net程序中进行计算了,现在我来分享利用DateDiff函数实现日期计划加减。
语法
DateDiff(interval, date1, date2[, firstdayofweek[, firstweekofyear]])
DateDiff 函数语法中有下列命名参数:
此函数计算两个指定日期之间日期部分的数目。结果为日期部分中等于(date2 - date1)的有符号的整数值。
当结果不是日期部分的偶数倍时,DATEDIFF 将被截断而不是被舍入。
当使用 day 作为日期部分时,DATEDIFF 返回两个指定的时间之间(包括第二个日期但不包括第一个日期)的午夜数。
当使用 month 作为日期部分时,DATEDIFF 返回两个日期之间(包括第二个日期但不包括第一个日期)出现的月的第一天的数目。
当使用 week 作为日期部分时,DATEDIFF 返回两个日期(包括第二个日期但不包括第一个日期)之间星期日的数目。
巧用datediff获得时间戳
代码如下 | 复制代码 |
1> SELECT datediff(ss,'1970-01-01',GETDATE()) as time |
datediff取差函数
ss 表示以秒为单位
1970-01-01 时间戳都从这个日期计算起
getdate() 当前时间
既读取当前时间与1970-01-01之间的秒数就是当前时间戳
当然,如果你也可以通过getdate()读取当前日期以后也可以使用其它语言转换成时间戳也可以,比如js,php。
当然,datediff函数很强大,比如要算出两个日期之间的月数
代码如下 | 复制代码 |
1> SELECT datediff(mm,'2012-01-01',GETDATE()) as time |
下面的语句返回 1:
代码如下 | 复制代码 |
select datediff( hour, ''4:00am'', ''5:50am'' ) |
下面的语句返回 102:
代码如下 | 复制代码 |
select datediff( month, ''1987/05/02'', ''1995/11/15'' ) |
下面的语句返回 0:
代码如下 | 复制代码 |
select datediff( day, ''00:00'', ''23:59'' ) |
下面的语句返回 4:
代码如下 | 复制代码 |
select datediff( day, ''1999/07/19 00:00'',''1999/07/23 23:59'' ) |
下面的语句返回 0:
代码如下 | 复制代码 |
select datediff( month, ''1999/07/19'', ''1999/07/23'' ) |
面的语句返回 1:
代码如下 | 复制代码 |
select datediff( month, ''1999/07/19'', ''1999/08/23'' ) |

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











The main role of MySQL in web applications is to store and manage data. 1.MySQL efficiently processes user information, product catalogs, transaction records and other data. 2. Through SQL query, developers can extract information from the database to generate dynamic content. 3.MySQL works based on the client-server model to ensure acceptable query speed.

InnoDB uses redologs and undologs to ensure data consistency and reliability. 1.redologs record data page modification to ensure crash recovery and transaction persistence. 2.undologs records the original data value and supports transaction rollback and MVCC.

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 index cardinality has a significant impact on query performance: 1. High cardinality index can more effectively narrow the data range and improve query efficiency; 2. Low cardinality index may lead to full table scanning and reduce query performance; 3. In joint index, high cardinality sequences should be placed in front to optimize query.

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

MySQL is suitable for web applications and content management systems and is popular for its open source, high performance and ease of use. 1) Compared with PostgreSQL, MySQL performs better in simple queries and high concurrent read operations. 2) Compared with Oracle, MySQL is more popular among small and medium-sized enterprises because of its open source and low cost. 3) Compared with Microsoft SQL Server, MySQL is more suitable for cross-platform applications. 4) Unlike MongoDB, MySQL is more suitable for structured data and transaction processing.

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.

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.
