这是今天的大喜事! 我企盼已经久的一个问题终于得到解决了! 以前需要对一个企业网站进行全站搜索的时候,如果是sql server,那就用临时表,把产品表和新闻填充到临时表然后再从临时表中搜索,如果是access,那就没有办法了,因为很多资料都说了access不支
这是今天的大喜事!
我企盼已经久的一个问题终于得到解决了!
以前需要对一个企业网站进行全站搜索的时候,如果是sql server,那就用临时表,把产品表和新闻填充到临时表然后再从临时表中搜索,如果是access,那就没有办法了,因为很多资料都说了access不支持临时表。
昨天下午,在用asp.net做一个access的项目,其中Repeater不支持分页,access也不支持存储过程。DataSet也不支持分页,最后只好在sql语句上寻找办法了。经过反复的研究,最后找到一个办法并且成功通过了。在这个过程中,用到一个UNION,在这个应用中,UNION是把同一个表的两个查询结果合并在一起的。我在反复的思考过程中想到了,能不能把两个不同的表合并到一起呢?
想过了之后,就决定动手做一下,找到以前某个网站的数据里,里面有[News]和[Products]两个表。然后分别从两个各自取出几个字段尝试合并,第一次出现个问题,就是两个查询的列数不同,不能合并,这是我的疏忽,改正之后竟然成功了。心中大喜。马上继续试验,再用AS添加了一个名称为‘t’的列,用来标识每一列的来源,因为,对于这两个表的数据查询结果虽然需要合并,但是查询之后再显示到网页上,点击之后应该链接到不同的程序上显示详细的地址,所以还要是需要区分的。于是最后的结果就是下面这条:
select Id,[P_Name],[P_Update],'product' AS t From [product]
UNION ALL
select id,N_title,N_Update,'news' AS t From [News]
需要注意的就是,这样的结果,会是4列,4列的名称分别是id,P_Name,P_Update,t。N_title这个名称就不再使用了。所以是下面的结果
如果想要得到更理想的结果那就给列用AS起上相应的别名:
select Id,[P_Name] AS [Title],[P_Update] AS [PubDate],'product' AS t From [product]
UNION ALL
select id,N_title,N_Update,'news' AS t From [News]

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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