复杂条件搜索时,where somthing order by somefield+somefieldmysql会搜遍数据库,找出“所有”符合条件的记录,然后取出m,n条记录。如果你的数据量有几十万条,用户又搜索一些很通俗的词,然后要依次读最后几页重温旧梦。mysql该很悲壮的不停操作硬盘。
所以,可以试着让mysql也存储分页,当然要程序配合。
ASP的分页:在ASP系统中有Recordset对象来实现分页,但是大量数据放在内存中,而且不知道什么时候才失效(请ASP高手指点). SQL数据库分页:用存储过程+游标方式分页,具体实现原理不是很清楚,设想如果用一次查询就得到需要的结果,或者是id集,需要后续页时只要按照结果中的IDs读出相关记录。这样只要很小的空间保留本次查询的所有IDs. (SQL中的查询结果不知道怎样清楚过期垃圾?)
这样,可以让mysql模拟存储分页机制:1. select id from $table where $condition order by $field limit $max_pages*$count;查询符合条件的IDs.限定最大符合条件的记录数量,也可以不加。2. 因为php在执行结束后所有变量都要lost,所以可以考虑:方案a. 在mysql建立临时表,查询结果用一个时间或随机数作为唯一标志插入。其中建立page1~pagen个字段,每个字段保存该页中需要的ids, 这样一个id对一条记录.方案b. 如果打开session,也可以放在session中保存,实际上是放在文件中保存。建立一个$IDs数组,$IDs[1]~$IDs[$max_pages]. 考虑到有时候用户会开几个窗口同时查询,要为$ids做一个唯一标志,避免查询结果相互覆盖。二维数组和$$var都是好办法。3. 在每页页的请求中,直接找到对应的IDs,中间以","间隔:select * from $table where id in ($ids); 速度绝对快4. 收尾要考虑查询结果的自动清除,可以设置定时或者按比例随机清楚。如果用mysql临时表要加上一个时间标志字段,session中要加入$IDs["time"]=time(); 在一定时间以后不操作视为过期数据。
如果要优化,可以考虑用把1和2.a中的语句合并成select ...... into ....
Note:1.以上只是针对mysql的修补方案,希望mysql哪天能把这些功能加进去2.其它数据库也可以套用。3.如果其它数据库还有更先进的分页方式,请告诉我或mailto: steeven@kali.com.cn4.如果真的有很多数据要查询,还是和mysql再见吧,sql,oracle都提供了更先进的关键词索引查询。

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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