laravel/pint

pint --parallel slower on mac

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#421 创建于 2026年2月12日

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help wanted

描述

Pint Version

1.27.1

PHP Version

8.4.17

Description

pint is slower using --parallel option on Mac Mini M4 base model (10-core CPU with 4 performance cores and 6 energy-efficient cores)

Don't know why, maybe it doesn't use the perf-cores ?

~/D/project/project develop ❱ time pint --parallel

PASS .................... 596 files
________________________________________________________
Executed in  810.74 millis    fish           external
   usr time    3.14 secs    277.00 micros    3.14 secs
   sys time    0.78 secs    980.00 micros    0.78 secs

~/D/project/project develop ❱ time pint
 
 PASS .................... 596 files
________________________________________________________
Executed in  289.43 millis    fish           external
   usr time  212.91 millis  234.00 micros  212.67 millis
   sys time   70.71 millis  858.00 micros   69.85 millis

It is faster using --max-processes 4 but slower than no parallelism.

~/D/project/project develop• ❱ time pint --parallel --max-processes 4

 PASS .................... 596 files
________________________________________________________
Executed in  609.86 millis    fish           external
   usr time    1.14 secs    270.00 micros    1.14 secs
   sys time    0.23 secs    967.00 micros    0.23 secs

3 secs with pint --parallel 1.2 secs with pint --parallel --max-processes 4 0.9 secs with pint --parallel --max-processes 3 0.6 secs with pint --parallel --max-processes 2 0.4 secs with pint --parallel --max-processes 1 0.2 secs with pint

Steps To Reproduce

pint --parallel

贡献者指南

技术栈
php
领域
clideveloper experience
议题类型
performance
难度面向新贡献者的预计实现难度，1 表示很小改动，5 表示专家级工作。
3
预计时间有经验贡献者完成调查、实现、测试并准备 pull request 的粗略时间范围。
1-3 hours
活动状态议题当前的可参与程度：新鲜、活跃、陈旧、阻塞或等待维护者输入。
active
清晰度议题是否清楚说明期望改动、验收标准和下一步。
clear
前置要求
Basic PHP knowledgeUnderstanding of parallel processing concepts
新手友好度1-100 的估计分数，表示该议题对首次贡献者的友好程度。
40
研究方向
Investigate the parallel processing implementation in Pint, likely using Symfony Process component. Check how the default number of processes is determined (e.g., based on CPU core count) and whether it adequately handles Macs with heterogeneous cores (e.g., performance vs efficiency cores). Look at source code for initializing parallel workers and consider adding auto detection of optimal process count based on system performance. The issue shows that setting max processes to lower values improves performance, so the default might be spawning too many processes.