在设计数据库报表中时间字段时,有的时候可以设计为DateTime类型,但是在有的情况下,我们需要设计成BigInt类型,然后再持久化的时候可以传入但时间的毫秒数(当然这个毫秒数是距离1970-01-01 08:00:00.000这个时间点的 ),所以在数据查询的时候需要显示能够
在设计数据库报表中时间字段时,有的时候可以设计为DateTime类型,但是在有的情况下,我们需要设计成BigInt类型,然后再持久化的时候可以传入但时间的毫秒数(当然这个毫秒数是距离1970-01-01 08:00:00.000这个时间点的),所以在数据查询的时候需要显示能够看懂的时间格式,而不是毫秒数。如下:
这个prize_time字段便是毫秒数,所以需要转换,在SqlServer中进行查询的时候,可以用DATEADD函数,函数具体的用法:
定义和用法
DATEADD() 函数在日期中添加或减去指定的时间间隔。
语法
DATEADD(<span>datepart</span>,<span>number</span>,<span>date</span>)
date 参数是合法的日期表达式。number 是您希望添加的间隔数;对于未来的时间,此数是正数,对于过去的时间,此数是负数。
datepart 参数可以是下列的值:
datepart | 缩写 |
---|---|
年 | yy, yyyy |
季度 | qq, q |
月 | mm, m |
年中的日 | dy, y |
日 | dd, d |
周 | wk, ww |
星期 | dw, w |
小时 | hh |
分钟 | mi, n |
秒 | ss, s |
毫秒 | ms |
微妙 | mcs |
纳秒 | ns |
这个函数可以进行转换,本例中可以用dateadd(S,[prize_time]/1000,'1970-01-01 08:00:00') prize_time进行转化!

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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