与本机pymongo相比，Mongoengine在大型文档上的运行速度非常慢

However, if you know the structure you can use EmbeddedDocument fields to get slightly better performance from mongoengine. I've run a similar but not equivalent test code in this gist and the output is:pymongo with dict took 0.12spymongo with embed took 0.12smongoengine with dict took 4.3059175412661075mongoengine with embed took 1.1639373211854682因此，您可以使mongoengine更快，但pymongo仍然要快得多.So you can make mongoengine faster but pymongo is much faster still. 更新这里pymongo界面的一个很好的捷径是使用聚合框架:A good shortcut to the pymongo interface here is to use the aggregation framework:def mongoengine_agg_doc(): return list(MyModel.objects.aggregate({"$limit":1}))[0] 这篇关于与本机pymongo相比，Mongoengine在大型文档上的运行速度非常慢的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！ 上岸，阿里云！