Lock in $30 Savings on PRO—Offer Ends Soon! ⏳
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Profiling for JVM
Search
Kengo TODA
October 16, 2012
Technology
2
270
Profiling for JVM
Simple introduction about how to judge the reason why your Java program is slow
Kengo TODA
October 16, 2012
Tweet
Share
More Decks by Kengo TODA
See All by Kengo TODA
生成AI 業務応用向けガイドライン 斜め読み / Overview of Generative AI Business Application Guidelines
eller86
0
140
KotlinユーザのためのJSpecify入門 / JSpecify 101 for Kotlin Devs
eller86
0
1.8k
JavaとGroovyで書かれたGradleプラグインをKotlinで書き直した話 / Converted a Gradle plugin from Groovy&Java to Kotlin
eller86
0
1.7k
ヒューマンスキル / The Humanskills
eller86
0
710
医療機関向けシステムの信頼性 / Reliability of systems for medical institutions
eller86
0
460
Server-side Kotlinを使うスタートアップでどんなDetektルールが育ったか / Detekt rules made in start-up working with Server-side Kotlin
eller86
0
1.6k
Java開発者向けのKotlin Gradleビルドスクリプト入門 / Gradle Build Script in Kotlin 101
eller86
1
2k
Goodbye JSR305, Hello JSpecify!
eller86
2
5.3k
Java8〜16におけるバイトコード生成の変化 / Changes of Bytecode Generation from Java 8 to 16
eller86
4
4.5k
Other Decks in Technology
See All in Technology
LLM-Readyなデータ基盤を高速に構築するためのアジャイルデータモデリングの実例
kashira
0
260
マイクロサービスへの5年間 ぶっちゃけ何をしてどうなったか
joker1007
12
5.8k
AI時代の新規LLMプロダクト開発: Findy Insightsを3ヶ月で立ち上げた舞台裏と振り返り
dakuon
0
180
寫了幾年 Code,然後呢?軟體工程師必須重新認識的 DevOps
cheng_wei_chen
1
1.4k
Sansanが実践する Platform EngineeringとSREの協創
sansantech
PRO
2
910
Lambdaの常識はどう変わる?!re:Invent 2025 before after
iwatatomoya
1
610
Fashion×AI「似合う」を届けるためのWEARのAI戦略
zozotech
PRO
2
810
MLflowダイエット大作戦
lycorptech_jp
PRO
1
140
re:Invent 2025 ふりかえり 生成AI版
takaakikakei
1
210
非CUDAの悲哀 〜Claude Code と挑んだ image to 3D “Hunyuan3D”を EVO-X2(Ryzen AI Max+395)で動作させるチャレンジ〜
hawkymisc
2
200
AI駆動開発の実践とその未来
eltociear
0
120
Reinforcement Fine-tuning 基礎〜実践まで
ch6noota
0
190
Featured
See All Featured
Sharpening the Axe: The Primacy of Toolmaking
bcantrill
46
2.6k
RailsConf 2023
tenderlove
30
1.3k
The Art of Delivering Value - GDevCon NA Keynote
reverentgeek
16
1.8k
4 Signs Your Business is Dying
shpigford
186
22k
Chrome DevTools: State of the Union 2024 - Debugging React & Beyond
addyosmani
9
1k
KATA
mclloyd
PRO
33
15k
Java REST API Framework Comparison - PWX 2021
mraible
34
9k
Building Adaptive Systems
keathley
44
2.9k
Design and Strategy: How to Deal with People Who Don’t "Get" Design
morganepeng
132
19k
The Pragmatic Product Professional
lauravandoore
37
7.1k
Visualizing Your Data: Incorporating Mongo into Loggly Infrastructure
mongodb
48
9.8k
Code Review Best Practice
trishagee
74
19k
Transcript
PROFILING FOR JVM How to verify your hypothesis - @eller86
1
Agenda Process to detect the cause of performance problem What
is “profiling”? Tools to profile 2
Process to detect the cause of performance problem Make hypothesis
from experience and knowledge Get Servlet’s log from middle ware like Jetty Read source code, do debugging, do profiling 3
What is “profiling”? where? why? GC storm algorithm CPU Other
reading code heap dump I/O Lock? Waiting other system? I/O GC Other thread dump IZQPUIFTJT WFSJpDBUJPO 4
Tools to profile jmap jstack jstat VisualVM 5
Overview 6
Judging the reason why JVM uses CPU heavily $ jstat
-gcutil [PID] 250 7 S0 S1 E O P YGC YGCT FGC FGCT GCT 12.44 0.00 27.20 9.49 96.70 78 0.176 5 0.495 0.672 12.44 0.00 62.16 9.49 96.70 78 0.176 5 0.495 0.672 12.44 0.00 83.97 9.49 96.70 78 0.176 5 0.495 0.672 0.00 7.74 0.00 9.51 96.70 79 0.177 5 0.495 0.673 0.00 7.74 23.37 9.51 96.70 79 0.177 5 0.495 0.673 0.00 7.74 43.82 9.51 96.70 79 0.177 5 0.495 0.673 0.00 7.74 58.11 9.51 96.71 79 0.177 5 0.495 0.673 GC was fired Young generation GC was fired 7
Detecting method which costs too much time 8
How to read method name Foo.x() means “method x of
Foo class” Foo$Bar.x() means “method x of Bar class, and Bar is inner class of Foo” Foo.<init> means “constructor of Foo class” Foo.<clinit> means “static initializer of Foo class” 9
Taking thread dump $ jstack -l [PID] > thread-dump.txt 10
Checking count of objects 11
Taking heap dump $ jmap -dump:format=b,file=dump.dat [PID] 12
Key points Hypothesis needs verification Know “normal” performance to detect
“abnormal” one Imagine globally, verify locally (narrow down step by step) 13
Reference JDK tools and utilities Browsing heap dump VisualVM Diagnosis
documentation @ developerWorks My gist about JVM profiling, blog article and another article 14