{"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\/fr\/blog\/news\/vypusk-cache-bench-0-2-0-dlya-issledovaniya-effektivnosti-keshirovaniya-fajlov","title":{"rendered":"Publication de cache-bench 0.2.0 pour examiner l'efficacit\u00e9 de la mise en cache des fichiers","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Sept mois apr\u00e8s la pr\u00e9c\u00e9dente version, cache-bench 0.2.0 est sorti. Cache-bench \u2014 est un script Python qui permet d'\u00e9valuer l'impact des param\u00e8tres de la m\u00e9moire virtuelle (vm.swappiness, vm.watermark_scale_factor, Multigenerational LRU Framework, etc.) sur les performances des t\u00e2ches dont l'ex\u00e9cution d\u00e9pend du cache des op\u00e9rations de lecture de fichiers, en particulier en cas de manque de m\u00e9moire. Le code est ouvert sous la licence CC0.  <\/p>\n<p>  Le code du script dans la version 0.2.0 a \u00e9t\u00e9 presque enti\u00e8rement r\u00e9\u00e9crit. D\u00e9sormais, au lieu de lire des fichiers dans un r\u00e9pertoire sp\u00e9cifi\u00e9 (dans la nouvelle version, l'option -d a \u00e9t\u00e9 supprim\u00e9e), la lecture se fait \u00e0 partir d'un seul fichier en morceaux de taille sp\u00e9cifi\u00e9e de mani\u00e8re al\u00e9atoire.  <\/p>\n<p>  Options ajout\u00e9es :  <\/p>\n<ul>\n<li class=\"l\">  \u2014file \u2014 le chemin vers le fichier \u00e0 partir duquel la lecture sera effectu\u00e9e.\n<li class=\"l\">  \u2014chunk \u2014 la taille du fragment en kibioctets, par d\u00e9faut 64.\n<li class=\"l\">  \u2014mmap \u2014 lire \u00e0 partir d'un objet de fichier mapp\u00e9 en m\u00e9moire au lieu de lire \u00e0 partir d'un descripteur de fichier.\n<li class=\"l\">  \u2014preread \u2014 avant le d\u00e9but du test, lire (mettre en cache) le fichier sp\u00e9cifi\u00e9 par une lecture s\u00e9quentielle de fragments de 1 MiB.\n<li class=\"l\">  \u2014bloat \u2014 ajouter les fragments lus \u00e0 une liste afin d'augmenter la consommation de m\u00e9moire par le processus et de cr\u00e9er par la suite une situation de manque de m\u00e9moire.\n<li class=\"l\">  \u2014interval \u2014 l'intervalle d'affichage (journalisation) des r\u00e9sultats en secondes.    <\/ul>\n<p>Source : <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.opennet.ru\/opennews\/art.shtml?num=56376\">opennet.ru<\/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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