<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Multiprocessing on Paisen - blog for thinking</title><link>https://www.paisen.site/tags/multiprocessing/</link><description>Recent content in Multiprocessing on Paisen - blog for thinking</description><generator>Hugo</generator><language>en</language><lastBuildDate>Tue, 19 May 2026 13:01:17 +0800</lastBuildDate><atom:link href="https://www.paisen.site/tags/multiprocessing/index.xml" rel="self" type="application/rss+xml"/><item><title>Python 多进程优雅退出的实践：以腾讯地图 API 批量检测为例</title><link>https://www.paisen.site/post/python-multiprocessing-graceful-exit/</link><pubDate>Tue, 19 May 2026 13:01:17 +0800</pubDate><guid>https://www.paisen.site/post/python-multiprocessing-graceful-exit/</guid><description>&lt;p&gt;在处理大规模数据异步请求时，Python 的 &lt;code&gt;multiprocessing.Pool&lt;/code&gt; 是我们常用的工具。然而，当任务涉及到外部 API 配额限制或需要保持数据库状态一致性时，简单的进程池往往力不从心。&lt;/p&gt;</description></item></channel></rss>