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256 points rbanffy | 1 comments | | HN request time: 0.527s | source
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AlexanderDhoore ◴[] No.44003888[source]
Am I the only one who sort of fears the day when Python loses the GIL? I don't think Python developers know what they’re asking for. I don't really trust complex multithreaded code in any language. Python, with its dynamic nature, I trust least of all.
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miohtama ◴[] No.44003943[source]
GIL or no-GIL concerns only people who want to run multicore workloads. If you are not already spending time threading or multiprocessing your code there is practically no change. Most race condition issues which you need to think are there regardless of GIL.
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immibis ◴[] No.44004241[source]
With the GIL, multithreaded Python gives concurrent I/O without worrying about data structure concurrency (unless you do I/O in the middle of it) - it's a lot like async in this way - data structure manipulation is atomic between "await" expressions (except in the "await" is implicit and you might have written one without realizing in which case you have a bug). Meanwhile you still get to use threads to handle several concurrent I/O operations. I bet a lot of Python code is written this way and will start randomly crashing if the data manipulation becomes non-atomic.
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rowanG077 ◴[] No.44004284[source]
Afaik the only guarantee there is, is that a bytecode instruction is atomic. Built in data structures are mostly safe I think on a per operation level. But combining them is not. I think by default every few millisecond the interpreter checks for other threads to run even if there is no IO or async actions. See `sys.getswitchinterval()`
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1. hamandcheese ◴[] No.44004571[source]
This is the nugget of information I was hoping for. So indeed even GIL threaded code today can suffer from concurrency bugs (more so than many people here seem to think).