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lesamoureuses id:lesamoureuses

benchmarkã«é–¢ã™ã‚‹lesamoureusesã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯ (55)

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node.js ã®ãƒ¡ãƒˆãƒªã‚¯ã‚¹ã®è¨ˆæ¸¬ã€ãƒ™ãƒ³ãƒãƒžãƒ¼ã‚¯ã®æ”¹å–„ã€Docker ã‚¤ãƒ¡ãƒ¼ã‚¸ã®çµžã‚Šæ–¹ã‚’å‹‰å¼·ã—ãŸ
ãƒ•ãƒãƒ³ãƒˆã‚¨ãƒ³ãƒ‰ã®ãƒ‘ãƒ•ã‚©ãƒ¼ãƒžãƒ³ã‚¹è¨ˆæ¸¬ã¯å¾—æ„ãªã®ã ãŒã€ã‚µãƒ¼ãƒãƒ¼ã‚µã‚¤ãƒ‰ node.js ã®ãƒ¡ãƒˆãƒªã‚¯ã‚¹ã®å–ã‚Šæ–¹ã¯ã‚ã¾ã‚ŠçŸ¥ã‚‰ãªãã¦ã€ã„ã¤ã‚‚å‹˜ã§ã‚„ã‚ŠãŒã¡ã ã£ãŸã€‚æœ€è¿‘ã¯æ¥å‹™ã§ã“ã®å‘¨è¾ºã§å›°ã‚‹ã“ã¨ãŒå¢—ãˆãŸã®ã§ã€å‹‰å¼·ã—ãªãŠã—ãŸã€‚ ã¾ãŸã€æœ€è¿‘ä½¿ã£ã¦ã¿ãŸã‹ã£ãŸ cloudflare workers ã®åˆ¶é™ã§ã€ãƒ¡ãƒ¢ãƒª 128MBã€CPU æ™‚é–“ 50ms ã¨ã„ã†åˆ¶ç´„ãŒã‚ã‚Šã€ã“ã®ãŸã‚ã«ã‚‚ Node.js ã® CPU ã®ãƒ¡ãƒˆãƒªã‚¯ã‚¹ã‚’è¨ˆæ¸¬ã§ãã‚‹ã‚ˆã†ã«ãªã£ã¦ãŠãå¿…è¦ãŒã‚ã£ãŸã€‚ ã¨ã„ã†ç›®çš„ã‚’è¸ã¾ãˆã¦ã€ä»Šå›žã¯ OS ã‚„ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã®æœ€é©åŒ–ã¯æ‰±ã‚ãšã€ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯ã¨ã‚¢ãƒ—ãƒªã‚±ãƒ¼ã‚·ãƒ§ãƒ³å±¤ã ã‘ã«çµžã£ã¦å¦ç¿’ã—ãŸã€‚ã‚ã¨ä»•äº‹ã® Docker ã‚¤ãƒ¡ãƒ¼ã‚¸ã®ã‚µã‚¤ã‚ºã«ã‚‚æ‚©ã‚“ã§ãŸã®ã§ã€ã“ã“ã‚‚ã€‚ (ã‚ã¨ ISUCON å‚åŠ è€…ãŒæ¥½ã—ãã†ã ã£ãŸã®ã‚‚ã‚ã‚‹ã€‚ ISUCON ã®ãƒãƒ¥ãƒ¼ãƒ‹ãƒ³ã‚°å¯¾è±¡ã«ãƒ•ãƒãƒ³ãƒˆã‚¨ãƒ³ãƒ‰ã¯å«ã¾ã‚Œãªã„ã®ã§â€¦) è¨ˆæ¸¬å¯¾è±¡ ä»Šå›žå®Ÿé¨“ã—ãŸãƒªãƒã‚¸ãƒˆãƒªã¯ã“
lesamoureuses 2020/09/20
node

benchmark
ãƒªãƒ³ã‚¯
Kazuho's Weblog: ã‚¦ã‚§ãƒ–ãƒšãƒ¼ã‚¸ã®æç”» (first-paint) ã¾ã§ã®æ™‚é–“ã‚’æ¸¬å®šã™ã‚‹ãƒ„ãƒ¼ãƒ«ã‚’ä½œã£ãŸä»¶ã€ã‚‚ã—ãã¯HTTP2æ™‚ä»£ã®ãƒ‘ãƒ•ã‚©ãƒ¼ãƒžãƒ³ã‚¹ãƒãƒ¥ãƒ¼ãƒ‹ãƒ³ã‚°ã®è©±
ã‚¦ã‚§ãƒ–ãƒšãƒ¼ã‚¸ã®æç”» (first-paint) ã¾ã§ã®æ™‚é–“ã‚’æ¸¬å®šã™ã‚‹ãƒ„ãƒ¼ãƒ«ã‚’ä½œã£ãŸä»¶ã€ã‚‚ã—ãã¯HTTP2æ™‚ä»£ã®ãƒ‘ãƒ•ã‚©ãƒ¼ãƒžãƒ³ã‚¹ãƒãƒ¥ãƒ¼ãƒ‹ãƒ³ã‚°ã®è©± ã‚¦ã‚§ãƒ–ãƒšãƒ¼ã‚¸ã®è¡¨ç¤ºã¾ã§ã«ã‹ã‹ã‚‹æ™‚é–“ã‚’ã„ã‹ã«çŸãã™ã‚‹ã‹ã£ã¦ã®ã¯ã€å„²ã‹ã‚‹ã‚¦ã‚§ãƒ–ã‚µã‚¤ãƒˆã‚’æ§‹ç¯‰ã™ã‚‹ä¸Šã§é¿ã‘ã¦é€šã‚Œãªã„ã€ã¨ã¦ã‚‚é‡è¦ãªè¦ç´ ã§ã™ã€‚ å°‘ã—å¤ã„ãƒ‡ãƒ¼ã‚¿ã¨ã—ã¦ã¯ã€ãŸã¨ãˆã°ã€ã‚¦ã‚§ãƒ–ãƒšãƒ¼ã‚¸ã®è¡¨ç¤ºãŒ500ãƒŸãƒªç§’é…ããªã‚‹ã¨åºƒå‘Šå£²ä¸ŠãŒ1.2%ä½Žä¸‹ã™ã‚‹ã¨ã„ã†Bingã®ä¾‹ãªã‚“ã‹ã‚‚çŸ¥ã‚‰ã‚Œã¦ã„ã‚‹ã‚ã‘ã§ã™ã€‚ ã€Œã‚¦ã‚§ãƒ–ãƒšãƒ¼ã‚¸ã®è¡¨ç¤ºã¾ã§ã«ã‹ã‹ã‚‹æ™‚é–“ã€ã¨è¨€ã£ãŸå ´åˆã€å®Ÿéš›ã«ã¯ä»¥ä¸‹ã®ã‚ˆã†ãªã„ãã¤ã‹ã®ãƒ¡ãƒˆãƒªãƒƒã‚¯ãŒã‚ã‚Šã¾ã™ã€‚ ã‚¤ãƒ™ãƒ³ãƒˆ æ„å‘³
lesamoureuses 2015/10/01
benchmark
ãƒªãƒ³ã‚¯
DMM inside
ãƒ¬ãƒ“ãƒ¥ãƒ¼è‡ªå‹•æ‰¿èªåŒ–ã¨ç²¾åº¦100%ã‚’ç›®æŒ‡ã—ã¦ã€‚ã„ã¡æ—©ãç”ŸæˆAIã®å°Žå…¥ã«è¸ã¿å‡ºã—ãŸã€Œãƒ¦ãƒ¼ã‚¶ãƒ¼ãƒ¬ãƒ“ãƒ¥ãƒ¼åŸºç›¤ã€ã®å–ã‚Šçµ„ã¿
lesamoureuses 2015/04/28
â€œãƒ™ãƒ³ãƒãƒ„ãƒ¼ãƒ« å‡¦ç†æ•°/ç§’ web server application weighttp 327321 G-WAN httperf 50540 G-WAN ab 91367 G-WAN weighttpãŒåœ§å€’çš„ã§ã™ãã€‚ â€

benchmark

weighttp
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Scala vs. Go TCP Benchmark | Kifi Engineering Blog
We recently found ourselves in need of some load balancing with a few special features that werenâ€™t available off the shelf quite the way we wanted. We thus set out on a little investigation on what it would take to write our own software load balancer. Since most of our code base and expertise is in Scala, building this on top of the JVM would be a natural choice. On the other hand, a lot of pe
lesamoureuses 2014/12/11
â€œTo our surprise, Scala did quite a bit better than Go, with an average round trip time of ~1.6 microseconds (0.0016 milliseconds) vs. Goâ€™s ~11 microseconds (0.011 milliseconds)â€

scala

golang

benchmark
ãƒªãƒ³ã‚¯
Time::Moment vs DateTime | Christian Hansen [blogs.perl.org]
In December last year released the first version of Time::Moment. I don't foresee any major changes in Time::Moment 0.16 API, so in next release I'll remove the "early preview release" notice in the description. I have been using 0.16 in production two different deployments with great success, by removing DateTime from the ORM we have seen significantly reduced the memory usage and CPU usage and i
lesamoureuses 2014/08/05
Time::Momenté€Ÿã„

perl

time-moment

benchmark
ãƒªãƒ³ã‚¯
The Art of Workï¼šMySQL InnoDB Pluginã®ãƒ‡ãƒ¼ã‚¿åœ§ç¸®æ©Ÿèƒ½ æ€§èƒ½ç·¨ - SH2ã®æ—¥è¨˜
MySQL InnoDB Pluginã®ãƒ‡ãƒ¼ã‚¿åœ§ç¸®æ©Ÿèƒ½ã®ç¶šãã§ã™ã€‚å‰å›žã¯InnoDB Pluginã®ç‹¬è‡ªæ©Ÿèƒ½ã§ã‚ã‚‹ãƒ‡ãƒ¼ã‚¿åœ§ç¸®ã®ä»•çµ„ã¿ã‚’è§£èª¬ã—ã€Wikipediaæ—¥æœ¬èªžç‰ˆã®ãƒ‡ãƒ¼ã‚¿ãŒç´„åŠåˆ†ã«ã¾ã§åœ§ç¸®ã•ã‚Œã‚‹ã“ã¨ã‚’ç¢ºèªã—ã¾ã—ãŸã€‚ä»Šå›žã¯ãƒ‡ãƒ¼ã‚¿åœ§ç¸®ã«ã‚ˆã£ã¦æ€§èƒ½ãŒã©ã®ã‚ˆã†ã«å¤‰åŒ–ã™ã‚‹ã‹ã‚’ã€å®Ÿéš›ã«ãƒ™ãƒ³ãƒãƒžãƒ¼ã‚¯è©¦é¨“ã‚’è¡Œã£ã¦è¦‹ã¦ã„ãã¾ã™ã€‚ è©¦é¨“ã®æ–¹é‡ ãƒ‡ãƒ¼ã‚¿åœ§ç¸®ã«ã‚ˆã‚‹æ€§èƒ½ã¸ã®å½±éŸ¿ã¯ã€ä»¥ä¸‹ã®äºŒç‚¹ãŒè€ƒãˆã‚‰ã‚Œã¾ã™ã€‚ ãƒ¡ãƒªãƒƒãƒˆï¼šãƒ‡ãƒ¼ã‚¿ã‚µã‚¤ã‚ºãŒå°ã•ããªã‚‹ãŸã‚ã€ãƒ‡ã‚£ã‚¹ã‚¯I/OãŒæ¸›ã‚‹ ãƒ‡ãƒ¡ãƒªãƒƒãƒˆï¼šåœ§ç¸®ãƒ»å±•é–‹ã®å‡¦ç†ãŒè¡Œã‚ã‚Œã‚‹ãŸã‚ã€CPUè² è·ãŒé«˜ããªã‚‹ ãã“ã§ã€ã“ã‚Œã‚‰ã®ç‰¹å¾´ãŒã‚ˆãåˆ†ã‹ã‚‹ã‚ˆã†ã«è©¦é¨“ãƒ‘ã‚¿ãƒ¼ãƒ³ã‚’å·¥å¤«ã—ã¾ã™ã€‚Wikipediaæ—¥æœ¬èªžç‰ˆã®ãƒ‡ãƒ¼ã‚¿ã¯InnoDBä¸Šã§ãŠã‚ˆã5GBã‚ã‚Šã¾ã™ãŒã€ã¾ãšç‹ã„ç¯„å›²ã«çµžã£ã¦èªã¿å–ã‚Šå‡¦ç†ã‚’è¡Œã†ã“ã¨ã§ãƒ‡ã‚£ã‚¹ã‚¯I/OãŒã‚ã¾ã‚Šç™ºç”Ÿã—ãªã„ã‚ˆã†ã«ã—ã¾ã™ã€‚ã“ã‚Œã§CPUè² è·ã®å‚¾å‘ã‚’ç¢ºèªã™ã‚‹ã“ã¨ãŒã§ãã¾ã™ã€‚æ¬¡
lesamoureuses 2014/05/12
mysql

innodb

benchmark
ãƒªãƒ³ã‚¯
MacBook Air (Mid 2012) ã®SSDã‚’JetDrive 520ã«äº¤æ›ï¼é©šãã®ãƒ™ãƒ³ãƒãƒžãƒ¼ã‚¯çµæžœã¯â€¦ | MAKKYON WEB
ã“ã‚Œã¯è²·ã‚ã–ã‚‹ã‚’å¾—ãªã„ã¨ã€å³è³¼å…¥ã€‚ Amazonã‹ã‚‰ã™ãå±Šã„ãŸã®ã§ã€ã„ãã„ãã¨é–‹å°ã€‚ãƒ‘ãƒƒã‚±ãƒ¼ã‚¸ã¯ã“ã‚“ãªæ„Ÿã˜ã€‚ ã‚µã‚¤ã‚ºã¯æœ€å¤§ã®480GBã«ã—ã¾ã—ãŸã€‚960GBã¯å¾Œæ—¥ç™ºå£²ã®ã‚ˆã†ã§ã™ã€‚ é–‹å°ã™ã‚‹ã¨ã€ä¸€å¼æƒã£ã¦ã„ã¾ã™ã€‚é‡ç®±ã®ã‚ˆã†ã«æŠ˜ã‚Šé‡ãªã£ã¦ã„ã¾ã—ãŸã€‚ å†…å®¹ç‰©ä¸€å¼ã€‚ä¸€æƒãˆã‚ã‚‹ã®ã§ã€ä½•ã‹ã‚’è²·ã„è¶³ã™å¿…è¦ã¯ã‚ã‚Šã¾ã›ã‚“ã€‚ å–ã‚Šå¤–ã—ãŸSSDã‚’å¤–ä»˜ã‘ãƒ‰ãƒ©ã‚¤ãƒ–åŒ–ã§ãã‚‹ã‚±ãƒ¼ã‚¹ã‚‚ä»˜å±žã€‚ é‡‘å±žè£½ã®ãƒ’ãƒ³ãƒ¤ãƒªã—ãŸæ„Ÿè§¦ãŒä¼ã‚ã‚Šã¾ã™ã€‚ä»˜å±žå“ã®å‡ºæ¥æ˜ ãˆã˜ã‚ƒãªã„ã§ã™ã€‚ã“ã‚Œå˜ä½“ã§å£²ã£ã¦ã‚‚ã„ã„ã‚“ã˜ã‚ƒãªã„ã§ã—ã‚‡ã†ã‹ã€‚ ã‚±ãƒ¼ã‚¹ã®ã‚±ãƒ¼ã‚¹ã‚‚ä»˜å±žã€‚ãƒˆãƒ©ãƒ³ã‚»ãƒ³ãƒ‰ã•ã‚“ã¯ãƒ¦ãƒ¼ã‚¶ãƒ¼å¿ƒç†ã‚’åˆ†ã‹ã£ã¦ã‚‰ã£ã—ã‚ƒã‚‹â€¦ã€‚æ’®å½±ã®ãŸã‚ã€LEDéƒ¨åˆ†ã‚’éœ²å‡ºã•ã›ã¦ã¾ã™ãŒã€ã™ã£ã½ã‚ŠåŽã¾ã‚Šã¾ã™ã‚ˆã€‚ ã¾ãšã¯ã€JetDriveã‚’å¤–ä»˜ã‘ã‚±ãƒ¼ã‚¹ã«å…¥ã‚Œã¦ã€MacBook Airã«USBã§ç¹‹ãŽã¾ã™ã€‚ã“ã®ãƒ‰ãƒ©ã‚¤ãƒ–ã€æŽ¥ç¶šä¸ã¯ç·‘è‰²ã«ç‚¹æ»…ã—ã€ãƒžã‚¦ãƒ³ãƒˆå¾Œã¯é’è‰²ã§ç‚¹ç¯ã—ã¾ã™ã€‚èŠ¸ãŒç´°ã‹ã„ã€‚ ã•ã¦ã€op
lesamoureuses 2014/05/01
ã™ã”ã„ â€œäº¤æ›å¾Œã®JetDriveã€‚Write 420.2MB/sï¼Read 483.0MB/sï¼å…ƒã®SSDã§ã‚‚ååˆ†é€Ÿã‹ã£ãŸã®ã«ã€Readã¯2å€è¿‘ãã€Writeã§ã•ãˆ1å‰²å¢—â€

benchmark

mac
ãƒªãƒ³ã‚¯
Perl OO performance comparison
lesamoureuses 2014/02/19
Mooã“ã‚“ãªã«é€Ÿã„ã®ã‹

perl

moo

benchmark
ãƒªãƒ³ã‚¯
Ruby ã§ã¯æ˜Žç¤ºçš„ã« return ã‚’æ›¸ãã»ã†ãŒã¡ã‚‡ã£ã¨é…ã„ã€ã¯ 1.9 ã§ã‚‚æœ‰åŠ¹ã‹ - ruby trunk changes
Ruby ã§ã¯ãƒ¡ã‚½ãƒƒãƒ‰ã®æœ€å¾Œã®å¼ã®å€¤ãŒãã®ã¾ã¾è¿”ã‚Šå€¤ã«ãªã‚Šã¾ã™ã€‚ã©ã“ã§èªã‚“ã ã®ã‹å¿˜ã‚Œã¦ã—ã¾ã„ã¾ã—ãŸãŒã€Œæ˜Žç¤ºçš„ã« return ã‚’æ›¸ãã¨ã¡ã‚‡ã£ã¨ã ã‘é…ã„ã®ã§ã€ä¸è¦ãªã‚‰æ˜Žç¤ºçš„ãª return ã‚’æ›¸ã‹ãšã«è¿”ã‚Šå€¤ã®å¼ã ã‘æ›¸ãã®ãŒ Ruby æµã€ã¨ã„ã†è¨€èª¬ãŒã‚ã£ã¦ã€ãã®å½“æ™‚è©¦ã—ã¦ã¿ã‚‹ã¨ç¢ºã‹ã«æ˜Žç¤ºçš„ã« return ã‚’æ›¸ã‹ãªã„ã»ã†ãŒã¡ã‚‡ã£ã¨é€Ÿã„ã¨ã„ã†çµæžœã ã£ãŸã®ã§ã€Œä¸è¦ãªã‚‰æ˜Žç¤ºçš„ãª return ã¯æ›¸ã‹ãªã„ã®ãŒã‚¸ãƒ£ã‚¹ãƒ†ã‚£ã‚¹ã€ã¨ã„ã†ã®ã‚’ä¿¡æ¡ã«ã—ã¦ãã¾ã—ãŸã€‚ ã—ã‹ã—å…ˆæ—¥ãã®è©±ã‚’ã—ã¦ã„ã¦ã€ãµã¨ 1.9 ã§ã¯ã‚‚ã†ã“ã®"å¸¸è˜"ã¯é€šç”¨ã—ãªããªã£ã¦ã‚‹ã‚“ã˜ã‚ƒãªã„ã‹ã¨æ€ã„ã¤ã„ãŸã®ã§ç¢ºèªã—ã¦ã¿ã¾ã—ãŸã€‚ benchmark ã«ä½¿ã£ãŸã‚¹ã‚¯ãƒªãƒ—ãƒˆã¨å®Ÿè¡Œçµæžœã¯ gist ã«ç½®ãã¾ã—ãŸã€‚ https://gist.github.com/935934 æ˜Žç¤ºçš„ãª return ã®æœ‰ç„¡ã¨ã€ã•ã‚‰ã« block ã®ä¸ã‹ã‚‰ return ã™ã‚‹
lesamoureuses 2013/12/17
â€œãƒ¡ã‚½ãƒƒãƒ‰ã‹ã‚‰ç›´æŽ¥å€¤ã‚’è¿”ã™æ™‚ã¯ return ã®æœ‰ç„¡ã¯å·®ãŒã‚ã‚Šã¾ã›ã‚“ã€‚â€

ruby

benchmark
ãƒªãƒ³ã‚¯
[perl] Perlã§åŒã˜ã‚³ãƒ¼ãƒ‰ã‚’é•ã†ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã®ãƒ¢ã‚¸ãƒ¥ãƒ¼ãƒ«ã§ãƒ™ãƒ³ãƒãƒžãƒ¼ã‚¯ã™ã‚‹ - é…’æ—¥è¨˜ ã¯ã¦ãªæ”¯åº—
è¤‡æ•°ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã®ãƒ¢ã‚¸ãƒ¥ãƒ¼ãƒ«ã§åŒã˜ã‚³ãƒ¼ãƒ‰ã‚’å®Ÿè¡Œã—ã¦Benchmark.pmã§è¨ˆæ¸¬ã—ãŸã„ã€ã¨ã„ã†ã‚±ãƒ¼ã‚¹ã«ã“ã†æ›¸ã‘ã°ã„ã„ã‹ãªã€ã¨ã„ã†ä¾‹ã€‚ æ™®é€šã«Benchmark.pmã‚’ä½¿ã£ã¦ã—ã¾ã†ã¨åŒä¸€ãƒ¢ã‚¸ãƒ¥ãƒ¼ãƒ«ã‚’é•ã†ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã§è¤‡æ•°èªã¿è¾¼ã‚€ã“ã¨ãŒã§ããªã„ãŸã‚ã€ ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã”ã¨ã«åãƒ—ãƒã‚»ã‚¹ã‚’ fork åãƒ—ãƒã‚»ã‚¹ã§ use lib ã—ã¦ @INC ã‚’è¿½åŠ ã—ã¦ã‹ã‚‰ use è¨ˆæ¸¬ã—ãŸçµæžœã‚’ãƒ•ã‚¡ã‚¤ãƒ«ã«ä¿å˜ã—ã¦è¦ªãƒ—ãƒã‚»ã‚¹ã§é›†ç´„ã€è¡¨ç¤º ã¨ã„ã†æµã‚Œã§æ›¸ãã¾ã™ã€‚ use strict; use Benchmark qw/ :all /; use File::Temp qw/ tempfile /; use Storable qw/ nstore retrieve /; # è¨ˆæ¸¬ã—ãŸã„ã‚³ãƒ¼ãƒ‰ my $code = sub { my $c = Cache::Redis->new; for ( 1 .. 10 ) { $c->s
lesamoureuses 2013/12/13
ã‚³ãƒ¼ãƒ‰ãŒã™ã”ãã‚¹ãƒƒã‚ãƒª

perl

benchmark

benchmark-forking
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This document compares the caching techno logies Memcached and Redis. It provides an overview of how caching works and the probl ems that can occur with caching like cache misses, stale data, and warm-up times. It details the features of Memcached and Redis, including their data structures and operations. Benchmarks are presented comparing the performance of Memcached and Redis for set and get opera
lesamoureuses 2013/10/08
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