{"id":135788,"date":"2025-06-04T09:05:06","date_gmt":"2025-06-04T07:05:08","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/sravnenie-proizvoditelnosti-subd-valkey-i-redis"},"modified":"2025-06-04T09:05:06","modified_gmt":"2025-06-04T07:05:08","slug":"sravnenie-proizvoditelnosti-subd-valkey-i-redis","status":"publish","type":"post","link":"https:\/\/prohoster.info\/it\/blog\/novosti-interneta\/sravnenie-proizvoditelnosti-subd-valkey-i-redis","title":{"rendered":"Confronto delle prestazioni del DBMS Valkey e Redis","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Sono stati presentati i risultati dei test delle recenti versioni dei database Redis 8.0 e Valkey 8.1, in cui sono state dichiarate significative ottimizzazioni delle prestazioni. In tutti i test condotti, il fork sviluppato dalla comunit\u00e0 ha superato il progetto originale, principalmente grazie all'implementazione in Valkey di un nuovo meccanismo per la gestione multi-threading dell'input\/output in modalit\u00e0 asincrona, fornito al progetto da Amazon. <\/p>\n

Nell'ambiente di test AWS Graviton4 c8g.2xlarge con 8 VCPU, Valkey 8.1.1 ha raggiunto una performance di 999.8 mila richieste SET al secondo, mentre Redis 8.0 ha raggiunto il livello di 729.4 mila richieste al secondo. In generale, la larghezza di banda di Valkey \u00e8 risultata superiore a quella di Redis del 37% per le operazioni SET e del 16% per le operazioni GET. In questo caso, rispetto a Redis, il progetto Valkey ha mostrato una riduzione delle latenze nel trattamento delle richieste del 30% per le operazioni SET e del 60% per le operazioni GET.

\"Confronto<\/center> <\/p>\n

\u041e\u0442\u0434\u0435\u043b\u044c\u043d\u043e \u043f\u0440\u043e\u0432\u0435\u0434\u0451\u043d \u0430\u043d\u0430\u043b\u0438\u0437 \u0438\u0437\u043c\u0435\u043d\u0435\u043d\u0438\u044f \u043f\u0440\u043e\u043f\u0443\u0441\u043a\u043d\u043e\u0439 \u0441\u043f\u043e\u0441\u043e\u0431\u043d\u043e\u0441\u0442\u0438 \u0438 \u0437\u0430\u0434\u0435\u0440\u0436\u0435\u043a \u0432 \u0437\u0430\u0432\u0438\u0441\u0438\u043c\u043e\u0441\u0442\u0438 \u043e\u0442 \u0447\u0438\u0441\u043b\u0430 \u043f\u0430\u0440\u0430\u043b\u043b\u0435\u043b\u044c\u043d\u043e \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0435\u043c\u044b\u0445 \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u0447\u0438\u043a\u043e\u0432 \u0432 \u0440\u0435\u0436\u0438\u043c\u0435 \u043c\u043d\u043e\u0433\u043e\u043f\u043e\u0442\u043e\u0447\u043d\u043e\u0439 \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u043a\u0438 \u0432\u0432\u043e\u0434\u0430\/\u0432\u044b\u0432\u043e\u0434\u0430. \u0414\u043e 3 \u043f\u043e\u0442\u043e\u043a\u043e\u0432 Valkey \u0438 Redis \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u044e\u0442 \u043f\u0440\u0438\u043c\u0435\u0440\u043d\u043e \u0440\u0430\u0432\u043d\u044b\u0435 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u044b, \u043d\u043e \u0437\u0430\u0442\u0435\u043c \u0432\u043f\u0435\u0440\u0451\u0434 \u0432\u044b\u0440\u044b\u0432\u0430\u0435\u0442\u0441\u044f Valkey. \u041f\u0440\u0438 6 \u043f\u043e\u0442\u043e\u043a\u0430\u0445 \u043d\u0430 \u0441\u0438\u0441\u0442\u0435\u043c\u0435 \u0441 8 VCPU \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u044c Valkey \u0441\u043e\u0441\u0442\u0430\u0432\u0438\u043b\u0430 678 \u0442\u044b\u0441\u044f\u0447 SET-\u0437\u0430\u043f\u0440\u043e\u0441\u043e\u0432 \u0432 \u0441\u0435\u043a\u0443\u043d\u0434\u0443, \u0430 Redis — 563 \u0442\u044b\u0441\u044f\u0447\u0438 \u0437\u0430\u043f\u0440\u043e\u0441\u043e\u0432 \u0432 \u0441\u0435\u043a\u0443\u043d\u0434\u0443 \u043f\u0440\u0438 \u043b\u0438\u043c\u0438\u0442\u0435 \u0432 256 \u043e\u0434\u043d\u043e\u0432\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u0445 \u0441\u043e\u0435\u0434\u0438\u043d\u0435\u043d\u0438\u0439. \u041f\u0440\u0438 \u0443\u0432\u0435\u043b\u0438\u0447\u0435\u043d\u0438\u0438 \u0441\u043e\u0435\u0434\u0438\u043d\u0435\u043d\u0438\u0439 \u0434\u043e 400 \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u044c Valkey \u0432\u044b\u0440\u043e\u0441\u043b\u0430 \u0434\u043e 832 \u0442\u044b\u0441\u044f\u0447 SET-\u0437\u0430\u043f\u0440\u043e\u0441\u043e\u0432 \u0432 \u0441\u0435\u043a\u0443\u043d\u0434\u0443.

\"Confronto<\/center> <\/p>\n

\u041f\u043e\u0441\u043b\u0435 \u043e\u043f\u0442\u0438\u043c\u0438\u0437\u0430\u0446\u0438\u0438 \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u043a\u0438 \u043f\u0440\u0435\u0440\u044b\u0432\u0430\u043d\u0438\u0439 \u0432 \u0441\u0438\u0441\u0442\u0435\u043c\u0435 \u0434\u043b\u044f \u0441\u043d\u0438\u0436\u0435\u043d\u0438\u044f \u0447\u0438\u0441\u043b\u0430 \u043f\u0435\u0440\u0435\u043a\u043b\u044e\u0447\u0435\u043d\u0438\u044f \u043a\u043e\u043d\u0442\u0435\u043a\u0441\u0442\u0430 \u0432 Valkey \u0443\u0434\u0430\u043b\u043e\u0441\u044c \u043f\u043e\u0434\u043d\u044f\u0442\u044c \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u044c \u0434\u043e 999.8 \u0442\u044b\u0441\u044f\u0447 SET-\u0437\u0430\u043f\u0440\u043e\u0441\u043e\u0432 \u0432 \u0441\u0435\u043a\u0443\u043d\u0434\u0443. \u0421\u0443\u0442\u044c \u043e\u043f\u0442\u0438\u043c\u0438\u0437\u0430\u0446\u0438\u0438 \u0441\u0432\u0435\u043b\u0430\u0441\u044c \u043a \u0432\u044b\u0434\u0435\u043b\u0435\u043d\u0438\u044e 2 VCPU \u0434\u043b\u044f \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u043a\u0438 \u043f\u0440\u0435\u0440\u044b\u0432\u0430\u043d\u0438\u0439 \u0438 \u043f\u0440\u0438\u0432\u044f\u0437\u043a\u0438 6 \u043e\u0441\u0442\u0430\u0432\u0448\u0438\u0445\u0441\u044f VCPU \u043a \u043f\u043e\u0442\u043e\u043a\u0430\u043c \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u043a\u0438 \u0432\u0432\u043e\u0434\u0430\/\u0432\u044b\u0432\u043e\u0434\u0430 Valkey \u0438 Redis, \u0447\u0442\u043e\u0431\u044b \u0438\u0441\u043a\u043b\u044e\u0447\u0438\u0442\u044c \u043c\u0438\u0433\u0440\u0430\u0446\u0438\u044e \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u0447\u0438\u043a\u043e\u0432 \u043c\u0435\u0436\u0434\u0443 CPU. sudo ethtool -L ens34 combined 2 # \u043e\u0433\u0440\u0430\u043d\u0438\u0447\u0438\u0432\u0430\u0435\u043c \u0434\u043e 2 \u0447\u0438\u0441\u043b\u043e \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u0447\u0438\u043a\u043e\u0432 IRQ grep ens34 \/proc\/interrupts # \u0441\u043c\u043e\u0442\u0440\u0438\u043c \u043a\u0430\u043a\u0438\u0435 \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u0447\u0438\u043a\u0438 \u0437\u0430\u0434\u0435\u0439\u0441\u0442\u0432\u043e\u0432\u0430\u043d\u044b (99 \u0438 100) echo 1 | sudo tee \/proc\/irq\/99\/smp_affinity # \u043f\u0440\u0438\u0432\u044f\u0437\u044b\u0432\u0430\u0435\u043c \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u0447\u0438\u043a 99 \u043a \u044f\u0434\u0440\u0443 1 echo 2 | sudo tee \/proc\/irq\/100\/smp_affinity # \u043f\u0440\u0438\u0432\u044f\u0437\u044b\u0432\u0430\u0435\u043c \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u0447\u0438\u043a 100 \u043a \u044f\u0434\u0440\u0443 2 # \u0417\u0430\u043f\u0443\u0441\u043a\u0430\u0435\u043c \u0421\u0423\u0411\u0414 (\u0434\u043b\u044f Redis \u043f\u043e\u043c\u0435\u043d\u044f\u0442\u044c valkey\/valkey:8.1.1 \u043d\u0430 redis:8.0) c \u043f\u0440\u0438\u0432\u044f\u0437\u043a\u043e\u0439 \u043a\u043e\u043d\u0442\u0435\u0439\u043d\u0435\u0440\u0430 \u043a \u044f\u0434\u0440\u0430\u043c CPU 2-7 docker run —network=»host» —rm \ —cpuset-cpus=»2-7″ valkey\/valkey:8.1.1 \ —save «» —appendonly no —io-threads 6 \ —protected-mode no —maxmemory 10gb <\/p>\n

\u0414\u043b\u044f \u0442\u0435\u0441\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u0438 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043b\u0430\u0441\u044c \u043a\u043e\u043c\u0430\u043d\u0434\u0430: docker run —network=»host» —rm —cpuset-cpus=»2-7″ \ valkey\/valkey:8.0.1 valkey-benchmark \ -h 172.31.4.92 -p 6379 -t SET,GET -n 100000000 -c 256 \ -r 3000000 —threads 6 -d 1024
\n
Fonte: opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

\u041f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u044b \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u044b \u0442\u0435\u0441\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f \u0441\u0432\u0435\u0436\u0438\u0445 \u0432\u044b\u043f\u0443\u0441\u043a\u043e\u0432 \u0421\u0423\u0411\u0414 Redis 8.0 \u0438 Valkey 8.1, \u0432 \u043a\u043e\u0442\u043e\u0440\u044b\u0445 \u0431\u044b\u043b\u0438 \u0437\u0430\u044f\u0432\u043b\u0435\u043d\u044b \u0437\u043d\u0430\u0447\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0435 \u043e\u043f\u0442\u0438\u043c\u0438\u0437\u0430\u0446\u0438\u0438 \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u0438. \u0412\u043e \u0432\u0441\u0435\u0445 \u043f\u0440\u043e\u0432\u0435\u0434\u0451\u043d\u043d\u044b\u0445 \u0442\u0435\u0441\u0442\u0430\u0445 \u0440\u0430\u0437\u0432\u0438\u0432\u0430\u0435\u043c\u044b\u0439 \u0441\u043e\u043e\u0431\u0449\u0435\u0441\u0442\u0432\u043e\u043c \u0444\u043e\u0440\u043a \u043e\u0431\u043e\u0433\u043d\u0430\u043b \u043e\u0440\u0438\u0433\u0438\u043d\u0430\u043b\u044c\u043d\u044b\u0439 \u043f\u0440\u043e\u0435\u043a\u0442, \u0432 \u043e\u0441\u043d\u043e\u0432\u043d\u043e\u043c \u0431\u043b\u0430\u0433\u043e\u0434\u0430\u0440\u044f \u0432\u043d\u0435\u0434\u0440\u0435\u043d\u0438\u044e \u0432 Valkey \u043d\u043e\u0432\u043e\u0433\u043e \u043c\u0435\u0445\u0430\u043d\u0438\u0437\u043c\u0430 \u0434\u043b\u044f \u043c\u043d\u043e\u0433\u043e\u043f\u043e\u0442\u043e\u0447\u043d\u043e\u0439 \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u043a\u0438 \u0432\u0432\u043e\u0434\u0430\/\u0432\u044b\u0432\u043e\u0434\u0430 \u0432 \u0430\u0441\u0438\u043d\u0445\u0440\u043e\u043d\u043d\u043e\u043c \u0440\u0435\u0436\u0438\u043c\u0435, \u043f\u0435\u0440\u0435\u0434\u0430\u043d\u043d\u043e\u0433\u043e \u043f\u0440\u043e\u0435\u043a\u0442\u0443 \u043a\u043e\u043c\u043f\u0430\u043d\u0438\u0435\u0439 Amazon. \u0412 \u0442\u0435\u0441\u0442\u043e\u0432\u043e\u043c \u043e\u043a\u0440\u0443\u0436\u0435\u043d\u0438\u0438 AWS Graviton4 c8g.2xlarge \u0441 8 […]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":135789,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-135788","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-novosti-interneta"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\n","aioseo_head_json":{"title":"\ud83e\udd47Confronto delle prestazioni dei DBMS Valkey e Redis | ProHoster","description":"Sono disponibili i risultati dei test delle ultime versioni dei DBMS Redis 8.0 e Valkey 8.1, nei quali sono state annunciate significative ottimizzazioni delle prestazioni. In tutti i test effettuati, il fork sviluppato dalla comunit\u00e0 ha superato il progetto originale, principalmente grazie all'implementazione nel Valkey di un nuovo meccanismo per l'elaborazione multithread dell'input\/output in modalit\u00e0 asincrona, fornito al progetto da Amazon. 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