ZGC - Oracle’s Large-Heap Garbage CollectorInfoQ Software Architects' Newsletter A monthly overview of things you need to know as an architect or aspiring architect. View an example
スレッドダンプを解æžã™ã‚‹åœ°ç„ã¨FastThreadã¨ã„ã†Webサービス - ç†ç³»å¦ç”Ÿæ—¥è¨˜
スレッドダンプã¨ã„ã†ã¨ã€JVM 言語ã«é–¢ã™ã‚‹é‹ç”¨ã§ãƒžã‚¸ã§å›°ã£ãŸã¨ãã®é ¼ã¿ã®ç¶±ã¿ãŸã„ãªã‚¤ãƒ¡ãƒ¼ã‚¸ã‚る。マジã§å›°ã£ãŸã¨ãã€ã˜ã‚ƒãªãã¦ã€ã‚«ã‚¸ãƒ¥ã‚¢ãƒ«ã«è¦‹ã‚Œã°è‰¯ã„ã‚“ã ã‘ã©ã€ã‚¹ãƒ¬ãƒƒãƒ‰ãƒ€ãƒ³ãƒ—ã®ãƒ•ã‚©ãƒ¼ãƒžãƒƒãƒˆãŒç•°å¸¸ã™ãŽã¦ã¤ã‚‰ããªã‚‹ã€‚ ãã‚‚ãã‚‚ãªã‚“ãªã‚“ã ã“ã®ã‚´ãƒŸã¿ãŸã„ãªãƒ•ã‚©ãƒ¼ãƒžãƒƒãƒˆã¯ã€‚ 一体誰ãŒã©ã†ã„ã†æ€æƒ³ã®å…ƒã§ã“ã®ãƒ•ã‚©ãƒ¼ãƒžãƒƒãƒˆã‚’決ã‚ãŸã®ã‹ã•ã£ã±ã‚Šåˆ†ã‹ã‚‰ãªã„ã—ã€äººé¡žã‚’苦ã—ã‚ã‚‹ãŸã‚ã«æœªæ¥ã‹ã‚‰æ¥ãŸ AI ãŒå‹æ‰‹ã«ç–定ã—ãŸã®ã§ã¯ãªã„ã‹ã€‚ "[ThreadPool Manager] - Idle Thread" #42 daemon prio=5 os_prio=31 tid=0x000000012a3a7800 nid=0x15503 in Object.wait() [0x000070000ab66000] java.lang.Thread.State: WAITING (on object monitor) at
JVM Anatomy Quark #2: Transparent Huge Pages
"JVM Anatomy Quarks" is the on-going mini-post series, where every post is describing some elementary piece of knowledge about JVM. The name underlines the fact that the single post cannot be taken in isolation, and most pieces described here are going to readily interact with each other. The post should take about 5-10 minutes to read. As such, it goes deep for only a single topic, a single test,
Introducing On-demand Java & JVM Profiling - Sematext
If you are running apps on top of JVM and want to be able to profile them in production, on-demand, without affecting your app’s performance and users, read on!  Screenshots, features, and other juicy stuff are further down. Do you run any apps on the JVM?  How do you find bottlenecks in your apps once they are in production, so you can optimize them?  If they become slow, how do you find which pa
Eliminating Large JVM GC Pauses Caused by Background IO Traffic
Eliminating Large JVM GC Pauses Caused by Background IO Traffic Coauthor: Cuong Tran, Systems Architect In our production environments, we have repeatedly seen that applications running in JVM  (Java Virtual Machine) occasionally experience large STW (Stop-The-World) application pauses due to JVM’s GC logging being blocked by background IO traffic (e.g., OS page cache writeback).  During such STW
Java Memory Architecture Cheat Sheet
The diagram below is the Java Memory Model for the Heap as well as the PermGen for any Java Application running in the Java Virtual Machine (JVM). The ratios are also provided to get a fair understanding of how the distribution of allowed memory is done across each of the generation types. All of the info is completely applicable up to Java 1.7 (inclusive). This diagram is also known as the 'Manag
[Java, JavaScript] Improving Nashorn startup time using code caching
Oracle Blogsã®ä¸»ã¨ã—ã¦ãƒ†ã‚¯ãƒŽãƒã‚¸ãƒ¼è£½å“ã®ã‚¨ãƒ³ãƒˆãƒªã‚’日本語ã§ã”紹介ã—ã¾ã™ï¼ˆã‚ªãƒªã‚¸ãƒŠãƒ«ã®ã‚¨ãƒ³ãƒˆãƒªã‚’投稿ã™ã‚‹ã“ã¨ã‚‚ã‚ã‚Šã¾ã™ï¼‰ã€‚厳密性をã”所望ã®æ–¹ã¯åŽŸæ–‡ã‚’ã©ã†ãžã€‚よã„内容ã§ã—ãŸã‚‰åŽŸæ–‡ã«å¯¾ã—ã€"Good Entry, thanks!"ã§ã‚‚ã„ã„ã®ã§ã€æ˜¯éžã‚³ãƒ¡ãƒ³ãƒˆãŠé¡˜ã„ã—ã¾ã™ï¼ˆTypoや誤訳ã¯ã‚³ãƒ¡ãƒ³ãƒˆæ¬„ã‹ã‚‰ã©ã†ãžï¼‰ã€‚ãªãŠã€ã“ã®ã‚¨ãƒ³ãƒˆãƒªã¯å€‹äººã®è¦‹è§£ã§ã‚ã‚Šã€æ‰€å±žã™ã‚‹ä¼šç¤¾ã®å…¬å¼è¦‹è§£ã§ã¯ã‚ã‚Šã¾ã›ã‚“。ã¾ãŸã€ã‚¨ãƒ³ãƒˆãƒªå†…ã§ã”紹介ã—ã¦ã„る製å“・サービスã¯å›½å†…導入時期ãŒæœªå®šã®å ´åˆã‚‚ã‚ã‚Šã¾ã™ã®ã§ã”了承下ã•ã„。 Good entries on Oracle Blogs are put into Japanese. Mainly this blog covers technology products. Opinions expressed in this blog is my personal one and d
Cannot create JVM with -XX:+UseLargePages enabled
I have a Java service that currently runs with a 14GB heap. I am keen to try out the -XX:+UseLargePages option to see how this might affect the performance of the system. I have configured the OS as described by Oracle using appropriate shared memory and page values (these can also be calculated with an online tool). Once the OS is configured, I can see that it allocates the expected amount of mem
JVM Deep Dive
Daniel Mitterdorfer, comSysto GmbH @dmitterd Behold! It will get scary. Topics Illusions by (J)VMs Interpreter JIT Compiler Memory Illusions Based on A JVM Does That??? Write Once, Run Anywhere One "Binary" for All Platforms Consistent Memory Model (Java Memory Model) Consistent Thread Model Bytecodes Are Fast (JITing) Infinite Heap (Garbage Collection) What "is" a JVM? The JVM is specified in The
Javaã®ã‚·ã‚¹ãƒ†ãƒ スレッドã«ã¤ã„ã¦èª¿ã¹ã¦ã¿ãŸ (Java8) - argius note
システムスレッドã«ã¤ã„ã¦ã€ã‚ã¾ã‚ŠçŸ¥ã‚‰ãªã‹ã£ãŸã®ã§ã€èª¿ã¹ã¦ã¿ã¾ã—ãŸã€‚ ãれ以外ã«ã‚‚ã€APIã§ç”Ÿæˆã•ã‚Œã‚‹ã‚¹ãƒ¬ãƒƒãƒ‰ã‚„ã€ã‚¹ãƒ¬ãƒƒãƒ‰ã‚°ãƒ«ãƒ¼ãƒ—ã«ã¤ã„ã¦ã‚‚ã€å°‘ã—触れã¦ã„ã¾ã™ã€‚ ※GrepCodeã¯2018å¹´5æœˆé ƒã‹ã‚‰ã‚µãƒ¼ãƒ“スãŒåˆ©ç”¨ã§ããªããªã£ã¦ã„ã¾ã™ã€‚記事ä¸ã®ãƒªãƒ³ã‚¯ã¯GrepCodeã®ã‚‚ã®ãŒãã“ãã“多ã„ã®ã§ã€ã”注æ„ãã ã•ã„。 å‚考リンク HotSpot Runtime Overview - OpenJDK JVM Internals (JamesDBloom - Blog) Java SE 8 API仕様 GC: openjdk-8-b132.jar - GrepCode Java Project Source Mirror of OpenJDK repositories - GitHub 目次 ã¯ã˜ã‚㫠実行環境 システムスレッドã®å称ã¨ç°¡å˜ãªèª¬æ˜Ž APIを使用ã—ãŸã¨ãã®ã‚¹ãƒ¬ãƒƒãƒ‰ ãŠã‚ã‚Šã« ã¯ã˜ã‚ã« ã‚·
Sparkアプリケーションã®ãŸã‚ã®Javaガベージコレクションã®ãƒãƒ¥ãƒ¼ãƒ‹ãƒ³ã‚°ã«ã¤ã„㦠- TEPPEI STUDIO
ã“ã®è¨˜äº‹ã¯ã€ã‚¤ãƒ³ãƒ†ãƒ«ã® SSG STOビッグデータテクノãƒã‚¸ãƒ¼ã‚°ãƒ«ãƒ¼ãƒ—ã®ãƒ¡ãƒ³ãƒãƒ¼ã‹ã‚‰DataBricksã«å¯„稿ã•ã‚ŒãŸãƒ–ãƒã‚°ã‚’翻訳ã—ãŸã‚‚ã®ã§ã™ã€‚誤訳ãŒã‚ã‚Šã¾ã—ãŸã‚‰ã€@teppei_tosaã«å¾¡é€£çµ¡ãã ã•ã„。 Sparkã¯ã€ãã®å„ªã‚ŒãŸæ€§èƒ½ã€ã‚·ãƒ³ãƒ—ルãªã‚¤ãƒ³ã‚¿ãƒ¼ãƒ•ã‚§ã‚¤ã‚¹ã€ãŠã‚ˆã³åˆ†æžã‚„計算ã®ãŸã‚ã®è±Šå¯Œãªãƒ©ã‚¤ãƒ–ラリã«ã‚ˆã£ã¦ã€å¹…広ã„æ¥ç•Œã§æŽ¡ç”¨ã•ã‚Œã¦ãã¦ã„ã¾ã™ã€‚ビッグデータエコシステムã«ãŠã‘る多ãã®ãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆã¨åŒæ§˜ã«ã€Sparkã¯ã€Java仮想マシン（JVM）上ã§å®Ÿè¡Œã•ã‚Œã¾ã™ã€‚Sparkã¯ãƒ¡ãƒ¢ãƒªã«å¤§é‡ã®ãƒ‡ãƒ¼ã‚¿ã‚’æ ¼ç´ã™ã‚‹ã“ã¨ã«ãŠã„ã¦ã€Javaã®ãƒ¡ãƒ¢ãƒªç®¡ç†ã¨ã‚¬ãƒ™ãƒ¼ã‚¸ã‚³ãƒ¬ã‚¯ã‚·ãƒ§ãƒ³ï¼ˆGC）ã«å¤§ããé ¼ã£ã¦ã„ã¾ã™ã€‚ã¾ãŸã€ãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆTungstenãªã©ã®æ–°ãŸãªå–り組ã¿ã¯ã€å°†æ¥ã®ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã§ã€ãƒ¡ãƒ¢ãƒªç®¡ç†ã®ã•ã‚‰ãªã‚‹ç°¡ç´ 化ã¨æœ€é©åŒ–を目指ã—ã¦ã„ã¾ã™ã€‚ã—ã‹ã—ã€ä»Šæ—¥æ™‚点ã§ã‚‚ã€Javaã®GCオプションã¨ãƒ‘ラメータをç†è§£ã—ã¦ã„るユ
HotSpotコトãƒã‚¸ãƒ¡
- The document discusses optimizing Java performance on hardware by leveraging features like AES-NI, transparent huge pages, and compiler intrinsics. - It provides examples showing performance improvements from using these features, such as faster encryption times when enabling AES-NI and fewer TLB misses with transparent huge pages. - It also discusses Java VM options, garbage collection, and the
High Performance Solr and JVM Tuning Strategies used for MapQuest’s Search Ahead: Presented by Darren Spehr, MapQuest
High Performance Solr and JVM Tuning Strategies used for MapQuest’s Search Ahead: Presented by Darren Spehr, MapQuest MapQuest developed a search ahead feature for their mobile app to enable auto-complete searching across their large dataset. They used Solr and implemented various techniques to optimize performance, including custom routing, analysis during ETL, and extensive JVM tuning. Their arc
リリースã€éšœå®³æƒ…å ±ãªã©ã®ã‚µãƒ¼ãƒ“スã®ãŠçŸ¥ã‚‰ã›
最新ã®äººæ°—エントリーã®é…ä¿¡
j次ã®ãƒ–ックマーク
kå‰ã®ãƒ–ックマーク
lã‚ã¨ã§èªã‚€
eコメント一覧を開ã
oページを開ã
https://rocketmq.apache.org/docs/system-config/
Vectorization in HotSpot JVM
GitHub - ajermakovics/jvm-mon: Console-based JVM monitoring tool
OpenJDKã¯ä½¿ã„物ã«ãªã‚‹ã‹ï¼ŸOpenJDKã®å®Ÿéš›ã¨ä»Šå¾Œ （NTTデータ オープンソースDAY 2015 Autumn 講演資料）
Private Site
GitHub - aragozin/jvm-tools: Small set of tools for JVM troublshooting, monitoring and profiling.
etsy/statsd-jvm-profiler · GitHub - Simple JVM Profiler Using StatsD
{{#tags}}- {{label}}
{{/tags}}