查询重构模型在mysql PHP 7.2.27关系数据库中优化数据执行响应时间的分析

Olivia Maria Inacio Tavares, Sartje Mala Rangkoly, S. Bawan, Khifni Beyk Ahmad, Ema Utami, M. S. Mustafa
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引用次数: 0

摘要

数据库是数据的集合,它形成了一种有用的信息,对组织中的管理人员来说,是促进数据管理过程变得更加有效和安全的保证。一个好的数据库在数据执行处理中具有快速准确的响应时间性能。为了管理数据库,它需要一种特殊的语言或查询,称为结构查询语言(SQL)。增加对快速信息的需求,也需要适当的SQL。因此,通过本研究,将使用测试分析优化目前常用的数据库管理系统,即My Structured query Language (MySQL)中使用PHP 7.2.27版本的关系数据库的查询响应时间,并在Oebufu Village Aspiration and Information Service system (SELMA)上进行测试,该系统从本地主机面板访问,总共有1000条测试数据记录。该测试致力于通过重构子句的使用,在调用和显示数据时使用SELECT查询的有效性。本研究旨在通过提供通用查询模型与优化后查询结果的响应时间对比分析结果,以确定正确有效的查询结构,从而帮助改进数据管理。通过进行查询优化验证了结果,发现时间优化的表现是显著的,比初始查询快了78%,通过这个测试可以得出优化在简化数据库查询的响应时间方面发挥了重要作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ANALYSIS OF QUERY RESTRUCTURIZATION MODELS IN OPTIMIZING DATA EXECUTION RESPONSE TIME ON MYSQL PHP 7.2.27 RELATIONAL DATABASES
Database is a collection of data that forming an information that useful for managers in an organization to facilitate data management process to become more effective and safely guarantee. A good database has fast and accurate response time performance in data execution processing. To manage the database, it requires a special language or query known as Structure Query Language (SQL). Increase need for fast information, will need a proper SQL as well. Therefore, through this research, a test analysis will be used to optimize the query response time in database management system commonly used today, namely the My Structured Query Language (MySQL) using PHP version of 7.2.27 relational database which will be tested on the Oebufu Village Aspiration and Information Service System (SELMA) that acessed from localhost panels with a total of 1000 test data records. The test is devoted to the effectiveness of using SELECT queries in calling and displaying data through restructuring the use of clauses. This study aims to help improve data management by providing the results of the comparative analysis of response times between the general query model and the optimized query results in order to determine the correct and efficient query structure. The result is proven by doing query optimization, it is found that the presentation of time optimization is significant, which is 78% much faster than the initial query, through this test it can be concluded that optimization plays an important role in streamlining the response time of database queries.  
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