What happens if there are too many writes? Do the readers starve? Building a data store on top of a single global lock with read/write semantics is a valid technical choice. Perhaps it is a bit questionable to market that as “a database”. But it seems to me that if you’re going all in with that approach, if that lock will provide the concurrency control for your whole database, you need to have very explicit, customizable semantics for prioritizing readers and writers, to ensure the server remains responsive regardless of the workload.
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I am willing to eat a shoe about this and be proven wrong. Both of these problems can be boiled down to "from one point spread in arbitrary directions." This can naively be done with stencil and power until it converges. Without accounting for solid blocks and going in all directions, it can be done as M ← 3@(4 4⋄) ⊢ 9 9⍴0 ⋄ {⍵⌈¯1+{⌈/,⍵}⌺3 3⊢⍵}⍣≡1 ⊢ M Nonetheless, I suspect doing this and also making sure solid blocks prevent spread are two things that cannot be done in an "APL-style" without a massive performance penalty. If you're able to find a solution that (1) works in large 3 dimensional arrays (16-by-128-by-16) and (2) is performant enough to not cause lag every time a torch is placed or water moves (dfns.cmpx should be at the bare minimum below 2E¯3), then please email me at last name dot first name at google mail dot com (My name is Kyle Croarkin). ↩︎，这一点在传奇私服新开网｜热血传奇SF发布站｜传奇私服网站中也有详细论述
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