Collections of Documents on the other hand, offer a much more relaxed approach. Collections are just namespaces where we insert documents. Documents are objects of any schema and format; but in practice, it almost always is JSON. There are no enforced types, no constraints, no guarded references between documents in different collections. In the same collection, we might have documents of completely different schema - flexibility and openness to any data and column types rules here. In tables, rows have columns of simple, scalar types (mostly) - numbers, ids, strings, dates, timestamps and so on. In collections, documents have fields comprising both simple and composite types like arrays and other documents, nested inside. Same field in different documents, but still of the same collection, might have different types as well - almost anything is allowed here.
值得一提的是，他加入 Meta 时，还带走了部分原苹果团队成员。其中有个叫 Tom Gunter 的研究员，原本已经跳去了 OpenAI，听说庞若鸣去 Meta，直接掉头跟过去了，如今老大挪窝，他的去留也成了悬念。
，详情可参考体育直播
元朗蔣小姐說，他們居住的一帶，能帶寵物的餐廳選擇已經比市區要多，但數目和條件始終有限。
dynamically-sized stack frames. All Go stack frames are constant
在例子中，单个请求占用载体线程的总时间其实只有几毫秒（执行非阻塞代码的时间），其他 350ms 都在等待。所以理论上，如果载体线程足够多（比如 Tomcat 默认有 200 个平台线程作为载体），就可以同时处理海量虚拟线程，吞吐量自然暴增。