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How to efficiently configure OpCache to improve production environment performance?

PHP 7.3 OpCache Performance Tuning: Production Environment Best Practices

In PHP 7.3 production environments, optimizing OpCache configuration for performance is crucial. This article will guide you how to configure OpCache, maximize cache efficiency, reduce server load, and improve application response speed.

Detailed explanation of core configuration parameters:

First, make sure OpCache is enabled:

  • opcache.enable=1 : Enable OpCache switch, must be set to 1.

Next, adjust OpCache memory allocation:

  • opcache.memory_consumption=512 : OpCache can use memory size (MB). 512MB is a common value, but it needs to be adjusted according to the application scale and code volume. Too small reduces the cache hit rate and too large wastes memory.

Optimize string caching:

  • opcache.interned_strings_buffer=64 : OpCache internal string buffer size (MB). Reasonable configuration reduces string duplication and improves performance.

Control the number of cached files:

  • opcache.max_accelerated_files=4000 : OpCache caches the maximum number of PHP files. Adjusted according to the project size, too small causes frequent cache failure and excessively large increases memory usage.

Set file re-verification frequency:

  • opcache.revalidate_freq=1000 : OpCache checks file modification frequency (seconds). 1000 seconds (about 16 minutes) is a common value, balancing performance and code update timeliness. Excessive checking increases CPU load.

Enable CLI mode OpCache:

  • opcache.enable_cli=1 : If you need to use OpCache on the command line, set to 1.

Easy configuration for rapid performance improvement:

In many cases, you only need to configure the following two items to significantly improve performance:

  • opcache.enable=1 : Enable OpCache.
  • opcache.revalidate_freq=1000 : Sets the re-verification frequency.

The configuration of other parameters needs to be adjusted and tested according to actual application conditions (server memory, code size, update frequency, etc.). Continuous monitoring and testing are key to optimizing configuration.

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