Optimizing Data Retrieval and Update Operations in PHP-MySQL Applications: AReview
DOI:
https://doi.org/10.71426/jmt.v2.i2.pp312-316Keywords:
Structured Query Language (SQL), Hypertext Preprocessor (PHP), MySQL Performance, Query optimization, Artificial Intelligence (AI).Abstract
One of the most employed technology stacks for developing interactive, database-driven web applications is PHP with MySQL. As systems grow larger, the need for efficient data retrieval and updating becomes more crucial to ensure optimal performance, scalability, and user satisfaction. This study discusses several approaches to deal with the main issues related to PHP and MySQL integration performance. The detailed analysis concentrated on prepared statements, batch and asynchronous operations, normalization, persistent connections, query optimization, indexing, and caching, and the use of sophisticated frameworks. Examples from real-world situations show how the methods can enhance performance. To help direct future development efforts, additional conceptual frameworks are also offered, along with best practices and possible hazards. This study discusses several approaches to deal with the main issues related to PHP and MySQL integration performance. The detailed analysis concentrated on prepared statements, batch and asynchronous operations, normalization, persistent connections, query optimization, indexing and caching, and the use of sophisticated frameworks.
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