{"id":102666,"date":"2021-12-19T15:37:03","date_gmt":"2021-12-19T13:37:03","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/vypusk-cache-bench-0-2-0-dlya-issledovaniya-effektivnosti-keshirovaniya-fajlov"},"modified":"2021-12-19T15:37:03","modified_gmt":"2021-12-19T13:37:03","slug":"vypusk-cache-bench-0-2-0-dlya-issledovaniya-effektivnosti-keshirovaniya-fajlov","status":"publish","type":"post","link":"https:\/\/prohoster.info\/ro\/blog\/news\/vypusk-cache-bench-0-2-0-dlya-issledovaniya-effektivnosti-keshirovaniya-fajlov","title":{"rendered":"Lansarea cache-bench 0.2.0 pentru a studia eficien\u021ba cache-ului fi\u0219ierelor.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>La \u0219apte luni dup\u0103 lansarea anterioar\u0103, a fost lansat\u0103 versiunea cache-bench 0.2.0. Cache-bench \u2014 este un script Python care permite evaluarea impactului set\u0103rilor de memorie virtual\u0103 (vm.swappiness, vm.watermark_scale_factor, Multigenerational LRU Framework \u0219i altele) asupra performan\u021bei sarcinilor dependente de caching-ul opera\u021biunilor de citire a fi\u0219ierelor, \u00een special \u00een condi\u021bii de memorie insuficient\u0103. Codul este deschis sub licen\u021ba CC0.  <\/p>\n<p>  Codul scriptului \u00een versiunea 0.2.0 a fost aproape complet rescris. Acum, \u00een loc s\u0103 citeasc\u0103 fi\u0219iere din directorul specificat (op\u021biunea -d a fost eliminat\u0103 \u00een noua versiune), se efectueaz\u0103 citirea dintr-un singur fi\u0219ier \u00een fragmente de dimensiuni specificate, \u00een mod aleatoriu.  <\/p>\n<p>  Op\u021biuni ad\u0103ugate:  <\/p>\n<ul>\n<li class=\"l\">  &#8212;file &#8212; calea c\u0103tre fi\u0219ierul din care se va citi.\n<li class=\"l\">  &#8212;chunk &#8212; dimensiunea fragmentului \u00een kibibi, implicit 64.\n<li class=\"l\">  &#8212;mmap &#8212; cite\u0219te din obiectul de fi\u0219ier memory-mapped \u00een loc de a citi din descriptorul de fi\u0219ier.\n<li class=\"l\">  &#8212;preread &#8212; \u00eenainte de \u00eenceputul testului, cite\u0219te \u00een prealabil (cache) fi\u0219ierul specificat prin citirea secven\u021bial\u0103 a fragmentelor de 1 MiB.\n<li class=\"l\">  &#8212;bloat &#8212; adaug\u0103 fragmentele citite \u00eentr-o list\u0103 cu scopul de a cre\u0219te consumul de memorie al procesului \u0219i de a crea ulterior o insuficien\u021b\u0103 de memorie.\n<li class=\"l\">  &#8212;interval &#8212; intervalul de timp pentru ie\u0219irea (logarea) rezultatelor \u00een secunde.    <\/ul>\n<p>Sursa: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.opennet.ru\/opennews\/art.shtml?num=56376\">opennet.ro<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u0421\u043f\u0443\u0441\u0442\u044f 7 \u043c\u0435\u0441\u044f\u0446\u0435\u0432 \u043f\u043e\u0441\u043b\u0435 \u043f\u0440\u0435\u0434\u044b\u0434\u0443\u0449\u0435\u0433\u043e \u0440\u0435\u043b\u0438\u0437\u0430 \u0432\u044b\u0448\u0435\u043b cache-bench 0.2.0. Cache-bench &#8212; \u044d\u0442\u043e Python \u0441\u043a\u0440\u0438\u043f\u0442, \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u044e\u0449\u0438\u0439 \u043e\u0446\u0435\u043d\u0438\u0442\u044c \u0432\u043b\u0438\u044f\u043d\u0438\u0435 \u043d\u0430\u0441\u0442\u0440\u043e\u0435\u043a \u0432\u0438\u0440\u0442\u0443\u0430\u043b\u044c\u043d\u043e\u0439 \u043f\u0430\u043c\u044f\u0442\u0438 (vm.swappiness, vm.watermark_scale_factor, Multigenerational LRU Framework \u0438 \u043f\u0440\u043e\u0447\u0438\u0445) \u043d\u0430 \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u044c \u0437\u0430\u0434\u0430\u0447, \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u0435 \u043a\u043e\u0442\u043e\u0440\u044b\u0445 \u0437\u0430\u0432\u0438\u0441\u0438\u0442 \u043e\u0442 \u043a\u044d\u0448\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f \u0444\u0430\u0439\u043b\u043e\u0432\u044b\u0445 \u043e\u043f\u0435\u0440\u0430\u0446\u0438\u0439 \u0447\u0442\u0435\u043d\u0438\u044f, \u043e\u0441\u043e\u0431\u0435\u043d\u043d\u043e \u0432 \u0443\u0441\u043b\u043e\u0432\u0438\u044f\u0445 \u043d\u0435\u0445\u0432\u0430\u0442\u043a\u0438 \u043f\u0430\u043c\u044f\u0442\u0438. \u041a\u043e\u0434 \u043e\u0442\u043a\u0440\u044b\u0442 \u043f\u043e\u0434 \u043b\u0438\u0446\u0435\u043d\u0437\u0438\u0435\u0439 CC0. \u041a\u043e\u0434 \u0441\u043a\u0440\u0438\u043f\u0442\u0430 \u0432 \u0432\u0435\u0440\u0441\u0438\u0438 0.2.0 \u043f\u043e\u0447\u0442\u0438 \u043f\u043e\u043b\u043d\u043e\u0441\u0442\u044c\u044e [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-102666","post","type-post","status-publish","format-standard","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One 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