mysql
有一个表,数据是这样的
<code> 品名 规格 材质 厂家 价格 城市 添加日期螺纹钢 Φ12-14 HRB400E 成实 2370 北京 2015-11-6 10:33螺纹钢 Φ12-14 HRB400E 龙钢 2370 北京 2015-11-6 10:33螺纹钢 Φ12-14 HRB400E 德胜 2370 北京 2015-11-6 10:33螺纹钢 Φ12-14 HRB400E 威钢 2440 北京 2015-11-6 10:33螺纹钢 Φ16-25 HRB400E 新钢业 2300 广州 2015-11-6 10:23螺纹钢 Φ16-25 HRB400E 水钢 2300 广州 2015-11-6 10:23螺纹钢 Φ16-25 HRB400E 攀钢 2300 广州 2015-11-6 10:23高线 Φ6.5-10 HPB300 山西中阳 2340 上海 2015-11-6 10:13高线 Φ6.5-10 HPB300 山西立恒 2340 上海 2015-11-6 10:13高线 Φ6.5-10 HPB300 龙钢 2340 上海 2015-11-6 10:13螺纹钢 Φ16-25 HRB400E 山西建邦 2370 武汉 2015-11-6 10:22螺纹钢 Φ16-25 HRB400E 龙钢 2370 武汉 2015-11-6 10:22螺纹钢 Φ16-25 HRB400E 德胜 2370 武汉 2015-11-6 10:22螺纹钢 Φ8-10 HRB400E 威钢 2430 武汉 2015-11-6 10:22</code>
想获得:
根据时间 、城市 、品名,同时判断这三个字段,获取不同的值,然后每个值只取其中一条。
按添加时间排序。形成列表。表里(有ID字段的)
MSSQL是这样的,可以实现:
<code> select * from (select *,rank() over (partition by AddDate,City order by ID) rn from mart WHERE Title = '螺纹钢' and DATEDIFF(day,AddDate,getdate())</code>
现在我想把它转换成MYSQL的语句,该如何写呢?

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.

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