The discussion about the performance comparison between PhpRedis and Predis has been around for a long time. In this article, I will introduce to you how to measure the performance of these libraries based on the most popular framework Laravel.
PhpRedis is a PHP extension for communicating with Redis storage. (Related recommendations: Redis Tutorial)
Predis is an alternative to PhpRedis on pure PHP and does not require any additional C extensions by default, but can optionally be paired with phpiredis.
I tested these two libraries using high-load project code, with about 10K online users.
Test environment:
Operating system: Ubuntu 18.04.2 LTS x86_64
CPU: Intel i7-6820HQ (8) @ 3.600GHz
Memory: 32 gb
PHP: v7.2.15
Laravel: v5.7.25
MySQL: MySQL v5.7
Redis: v5.0.3
PhpRedis: v4.2.0
Predis: v1.1.1
The script generates a cache from the database and stores the convincing model in Redis.
By default, Laravel does not support custom serializers for Redis, but I used the Laravel Lodash package to achieve this.
Result:
Predis (serializer: php) Execution time: 00:05:53.0355 Cache storage used: 936.92MB — — — — — — — — — — — — — — — — — — Predis (serializer: igbinary)Execution time: 00:07:45.2460 Cache storage used: 342.66MB — — — — — — — — — — — — — — — — — Predis (serializer: igbinary, with ext-phpiredis)Execution time: 00:07:51.9046 Cache storage used: 342.66MB — — — — — — — — — — — — — — — — — PhpRedis (serializer: php)Execution time: 00:01:36.9863 Cache storage used: 936.75MB — — — — — — — — — — — — — — — — — PhpRedis (serializer: igbinary)Execution time: 00:01:37.3176 Cache storage used: 342.66MB
Note:
Execution time:执行时间 Cache storage used:缓存存储
Conclusion:
The speed of PhpRedis is about x6 times. Using the igbinary serializer can reduce the size of stored data by about 3 times. If you install Redis on a different machine, reducing network traffic will speed things up significantly.
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