使用FlameGraph火焰图分析JAVA应用性能
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Pepper Metrics是我与同事开发的一个开源工具(https://github.com/zrbcool/pepper-metrics)，其通过收集jedis/mybatis/httpservlet/dubbo/motan的运行性能统计，并暴露成prometheus等主流时序数据库兼容数据，通过grafana展示趋势。其插件化的架构也非常方便使用者扩展并集成其他开源组件。
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安装及使用
安装前提软件
centos
yum install perf -y
yum install gcc -y
yum install gcc-c++
yum install cmake -y
ubuntu
apt install linux-tools-generic
apt install linux-tools-common
FlameGraph
# 参考 http://www.brendangregg.com/FlameGraphs/cpuflamegraphs.html#Java
export JAVA_HOME=/root/jdk1.8.0_181
export PATH=$JAVA_HOME/bin:$PATH
git clone --depth=1 https://github.com/jrudolph/perf-map-agent
cd perf-map-agent
cmake .
make
bin/create-links-in /usr/bin
git clone https://github.com/brendangregg/FlameGraph.git
export FLAMEGRAPH_DIR=/root/git/FlameGraph
# jvm启动参数需要增加
-XX:+PreserveFramePointer
perf-java-flames 21322
export PERF_RECORD_SECONDS=45
结果展示
svg格式的图片可以下钻，点击查看:
Docker内怎么办？
https://github.com/jvm-profiling-tools/perf-map-agent/issues/50
https://blog.alicegoldfuss.com/making-flamegraphs-with-containerized-java/
https://github.com/mboussaa/docker-flame-graphs
http://www.batey.info/docker-jvm-flamegraphs.html
容器内如何分析？
请参考笔者的另一篇文章Docker中使用FlameGraph分析JVM应用性能
更多参考
https://www.meiwen.com.cn/subject/xafqkqtx.html
https://bugs.openjdk.java.net/browse/JDK-8068945
https://bugs.openjdk.java.net/browse/JDK-6515172
http://mail.openjdk.java.net/pipermail/hotspot-compiler-dev/2014-December/016477.html
https://medium.com/netflix-techblog/java-in-flames-e763b3d32166
https://blog.codecentric.de/en/2017/09/jvm-fire-using-flame-graphs-analyse-performance/
https://github.com/jvm-profiling-tools/honest-profiler/wiki/How-to-Run
https://gperftools.github.io/gperftools/pprof-vsnprintf-big.gif
https://github.com/jvm-profiling-tools/perf-map-agent
http://www.brendangregg.com/FlameGraphs/cpuflamegraphs.html#Java
http://www.brendangregg.com/blog/2014-06-12/java-flame-graphs.html
https://github.com/brendangregg/FlameGraph
