drop-newest: Discards incoming data when full. Useful when you want to process what you have without being overwhelmed.
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This is a well-known browser security technique. In JavaScript, calling .toString() on a native browser function returns "function appendBuffer() { [native code] }". Calling it on a JavaScript function returns the actual source code. So if your appendBuffer has been monkey-patched, .toString() will betray you; it’ll return the attacker’s JavaScript source instead of the expected native code string.
Documents of products collection are intentionally designed to be more complex and larger than accounts - I want to see what happens, what is the performance penalty mainly, once individual documents are stored on multiple database pages. In Postgres, page size is 8 KB by default - in practice, the goal is to have at least 4 rows stored on a single page, so every record that is larger than 2 KB is put on two or more disk pages. It obviously reduces performance for both writes & reads - more disk pages to read from and write to. In Mongo it works slightly differently in details, but essentially in the same vein - larger documents are stored on more than one page, degrading performance for all operations. In both cases we are about to see - how much exactly.。WPS下载最新地址对此有专业解读