Tomcat内存分析相关方法(jmap和mat)
2019-06-17 本文已影响12人
Java_苏先生
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Linux环境命令行
首先,根据进程命令,获取运行的tomcat的进程ID
ps aux | grep tomcat | grep java | grep bsc
在第二列可以看到进程ID
然后使用jmap可以查看内存占比:
/home/work/bsc/java/jdk-1.7-7u60/bin/jmap -heap 7840
输出的结果包括了内存各个部分的占比:
[work@xxxx.com logs]$ /home/work/bsc/java/jdk-1.7-7u60/bin/jmap -heap 10433
Attaching to process ID 10433, please wait...
Debugger attached successfully.
Server compiler detected.
JVM version is 24.60-b09
using parallel threads in the new generation.
using thread-local object allocation.
Concurrent Mark-Sweep GC
Heap Configuration:
MinHeapFreeRatio = 40
MaxHeapFreeRatio = 70
MaxHeapSize = 8388608000 (8000.0MB)
NewSize = 1048576000 (1000.0MB)
MaxNewSize = 1048576000 (1000.0MB)
OldSize = 5439488 (5.1875MB)
NewRatio = 2
SurvivorRatio = 8
PermSize = 134217728 (128.0MB)
MaxPermSize = 268435456 (256.0MB)
G1HeapRegionSize = 0 (0.0MB)
Heap Usage:
New Generation (Eden + 1 Survivor Space):
capacity = 943718400 (900.0MB)
used = 393328672 (375.1074523925781MB)
free = 550389728 (524.8925476074219MB)
41.67860582139757% used
Eden Space:
capacity = 838860800 (800.0MB)
used = 288471072 (275.1074523925781MB)
free = 550389728 (524.8925476074219MB)
34.388431549072266% used
From Space:
capacity = 104857600 (100.0MB)
used = 104857600 (100.0MB)
free = 0 (0.0MB)
100.0% used
To Space:
capacity = 104857600 (100.0MB)
used = 0 (0.0MB)
free = 104857600 (100.0MB)
0.0% used
concurrent mark-sweep generation:
capacity = 1288736768 (1229.03515625MB)
used = 706435104 (673.7090148925781MB)
free = 582301664 (555.3261413574219MB)
54.816089797478334% used
Perm Generation:
capacity = 134217728 (128.0MB)
used = 65034240 (62.021484375MB)
free = 69183488 (65.978515625MB)
48.45428466796875% used
27139 interned Strings occupying 3055832 bytes.
如上可以清楚的看到内存配置信息、年轻代(包括eden、from、to)、老年代、永久代各自的内存信息和占比。
使用Eclipse的memory analysis tool工具进行详细分析
首先,使用命令将内存dump到文件:
/home/work/bsc/java/jdk-1.7-7u60/bin/jmap -dump:format=b,file=/home/work/tmp/bsc.bin 10433
MAT(Memory Analyzer Tool)工具是eclipse的一个插件,使用起来非常方便,尤其是在分析大内存的dump文件时,可以非常直观的看到各个对象在堆空间中所占用的内存大小、类实例数量、对象引用关系、利用OQL对象查询,以及可以很方便的找出对象GC Roots的相关信息,当然最吸引人的还是能够快速为开发人员生成内存泄露报表,方便定位问题和分析问题。
![](https://img.haomeiwen.com/i16826084/64e74ff872b5131b.png)
然后就可以查看内存中的数据,点击饼图,也可以看下占比最大的对象是什么,从而分析程序的行为。
写在最后
![](https://img.haomeiwen.com/i16826084/24d036793efe7f43.jpg)