M2多线程
引擎版本:10.24问题描述:data:image/png;base64,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
这个多线程加载时怎么来的,之前的版本好像都是单线程的。多线程加载有必要吗,会不会影响性能,如何关闭
线程:9999 QFunction重新加载成功...
线程:1 QFunction重新加载成功...
线程:0 QFunction重新加载成功...
线程:2 QFunction重新加载成功... 对多线程概念不了解的话,不要轻易使用多线程。线程是个很复杂的东西。线程同步等等问题,会让人摸不着头脑的。 iflyw 发表于 2023-11-30 18:33
对多线程概念不了解的话,不要轻易使用多线程。线程是个很复杂的东西。线程同步等等问题,会让人摸不着头脑 ...
如何关闭它 本帖最后由 alan 于 2023-11-30 20:35 编辑
h329117926 发表于 2023-11-30 19:24
如何关闭它例 :
地图名称后面 的数字是几就代表这张地图在几号线程执行 所有地图后面的这个数字都删除就变为单线程了
嗯 感谢楼上回复
95%的服用不到这个功能.。 alan 发表于 2023-11-30 20:33
例 :
地图名称后面 的数字是几就代表这张地图在几号线程执行...
3Q.3Q.3Q.3Q.3Q.3Q 请问是哪个文件夹里面删除的, MapInfo.txt 这个文件
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