When working with a large model, portions of the model are typically fragmented into separate resources for better performance and to reduce the possibility of merge conflicts.
当您在处理大型的模型时,部分模型一般会分割为单独的资源,以得到更好的性能,并降低合并冲突的可能性。
If your application requirements permit the use of the near cache, then you should use it, but otherwise, you need to move on to the next possibility for improving your overall performance.
如果您的应用程序需求允许使用近缓存,那么您就应该使用它,若不然,您就需要继续寻找能提高总体性能的可行方法。
However, this method increases the possibility of failures, such as network problems or memory leaks, affecting the performance of several applications.
然而,此方法增加了故障可能性,例如网络问题或内存泄漏,从而影响多个应用程序的性能。
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