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HomeBackend DevelopmentPHP TutorialQ&A on PHP Performance Optimization Getting Started Guide

Common problems in optimizing PHP: Reduce database queries using cache, optimize queries and paging; optimize image processing using image libraries, caching and compression; reduce page load time using CDN, compress files and avoid external resources; optimize PHP memory use memory Optimize scaling, monitor memory leaks and reduce variables/objects; resolve slow functions Identify slow functions and optimize algorithms/data structures, parallelize time-consuming operations.

Q&A on PHP Performance Optimization Getting Started Guide

Getting Started Guide to PHP Optimization: FAQ

Question 1: How to reduce database queries?

Solution:

  • Use a cache (such as Redis, Memcached) to store the results of frequently executed queries.
  • Optimize database queries, use indexes and avoid joins.
  • Page query to avoid loading a large amount of data at one time.

Question 2: How to optimize image processing?

Solution:

  • Use a specialized image library (such as GD, Imagick) for image processing.
  • Cache images to avoid repeated generation.
  • Enable image compression to reduce file size.

Question 3: How to reduce page loading time?

Solution:

  • Use a CDN (Content Delivery Network) to distribute static files.
  • Compress HTML, CSS and JavaScript files.
  • Avoid using external scripts and stylesheets.

Question 4: How to optimize PHP memory?

Solution:

  • Use PHP memory optimization extensions (such as Zend Opcache, xcache).
  • Monitor memory usage, identify and fix leaks.
  • Reduce the use of global variables and objects.

Question 5: How to solve slow functions?

Solution:

  • Use a performance analysis tool (e.g. XHProf, Blackfire) to identify slow functions.
  • Optimization algorithms and data structures.
  • Parallel processing of time-consuming operations.

Practical case: Optimizing queries from a MySQL database

// 原有查询
$result = $mysqli->query("SELECT * FROM students");

// 优化后的查询,使用索引
$result = $mysqli->query("SELECT * FROM students WHERE id > 1000 INDEX(id)");

By using indexes, the database can find results faster, thereby reducing query time.

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