Deutsch English Français Italiano |
<usffuk$1q99e$1@dont-email.me> View for Bookmarking (what is this?) Look up another Usenet article |
Path: ...!2.eu.feeder.erje.net!feeder.erje.net!eternal-september.org!feeder3.eternal-september.org!news.eternal-september.org!.POSTED!not-for-mail From: David Brown <david.brown@hesbynett.no> Newsgroups: comp.lang.c++,comp.lang.c Subject: Re: "White House to Developers: Using C or C++ Invites Cybersecurity Risks" Date: Fri, 8 Mar 2024 17:55:48 +0100 Organization: A noiseless patient Spider Lines: 46 Message-ID: <usffuk$1q99e$1@dont-email.me> References: <us0brl$246bf$1@dont-email.me> <us1lb5$2f4n4$1@dont-email.me> <us2lfh$2ltj3$5@dont-email.me> <us2s96$2n6h3$6@dont-email.me> <us3155$2of1i$3@dont-email.me> <us4c66$346tp$3@dont-email.me> <us5d6f$3besu$3@dont-email.me> <20240305005948.00002697@yahoo.com> <us5u16$3eidj$2@dont-email.me> <20240305111103.00003081@yahoo.com> <us8821$90p$4@dont-email.me> <20240306140214.0000449c@yahoo.com> <us9nib$dski$1@dont-email.me> <20240307000008.00003544@yahoo.com> <usc58s$10cls$1@dont-email.me> <20240307134401.00007aa2@yahoo.com> <uscmub$149j3$1@dont-email.me> <usf11f$1mk5l$1@dont-email.me> <usf63j$1nnsb$1@dont-email.me> <usfa2o$1orr3$1@dont-email.me> MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8; format=flowed Content-Transfer-Encoding: 8bit Injection-Date: Fri, 8 Mar 2024 16:55:48 -0000 (UTC) Injection-Info: dont-email.me; posting-host="5b4fd483861029d4eca5978ecaa265e3"; logging-data="1910062"; mail-complaints-to="abuse@eternal-september.org"; posting-account="U2FsdGVkX1+5xEKDmLw27DVhWH6hUbatF3Mv1JEwcwM=" User-Agent: Mozilla/5.0 (X11; Linux x86_64; rv:102.0) Gecko/20100101 Thunderbird/102.11.0 Cancel-Lock: sha1:Db8WrX/RpvKx1yCTEcoRJUx1wZo= In-Reply-To: <usfa2o$1orr3$1@dont-email.me> Content-Language: en-GB Bytes: 3672 On 08/03/2024 16:15, bart wrote: > On 08/03/2024 14:07, David Brown wrote: >> On 08/03/2024 13:41, Paavo Helde wrote: >>> 07.03.2024 17:36 David Brown kirjutas: >>>> >>>> CPython does use garbage collection, as far as I know. >>>> >>> >>> AFAIK CPython uses reference counting, i.e. basically the same as C++ >>> std::shared_ptr (except that it does not need to be thread-safe). >> >> Yes, that is my understanding too. (I could be wrong here, so don't >> rely on anything I write!) But the way it is used is still a type of >> garbage collection. When an object no longer has any "live" >> references, it is put in a list, and on the next GC it will get >> cleared up (and call the asynchronous destructor, __del__, for the >> object). > > Is that how CPython works? I can't quite see the point of saving up all > the deallocations so that they are all done as a batch. It's extra > overhead, and will cause those latency spikes that was the problem here. I believe the GC runs are done very regularly (if there is something in the clean-up list), so there is not much build-up and not much extra latency. > > In my own reference count scheme, when the count reaches zero, the > memory is freed immediately. That's synchronous deallocation. It's a perfectly good strategy, of course. There are pros and cons of both methods. > > I also tend to have most allocations being of either 16 or 32 bytes, so > reuse is easy. It is only individual data items (a long string or long > array) that might have an arbitrary length that needs to be in > contiguous memory. > > Most strings however have an average length of well below 16 characters > in my programs, so use a 16-byte allocation. > > I don't know the allocation pattern in that Discard app, but Michael S > suggested they might not be lots of arbitrary-size objects. >