05-jstack,jmap,jstat

参考资料:

《Trouble Shooting Guide for JavaSE 6 with HotSpot VM》: http://www.oracle.com/technetwork/java/javase/tsg-vm-149989.pdf

VisualVM: http://docs.oracle.com/javase/7/docs/technotes/guides/visualvm/

jConsole: http://docs.oracle.com/javase/1.5.0/docs/guide/management/jconsole.html

Monitoring and Managing JavaSE 6 Applications: http://www.oracle.com/technetwork/articles/javase/monitoring-141801.html

jps -ml

sudo -u hive /usr/java/latest/bin/jstack 19661(此为进程号) > /tmp/jstack.txt

1. jps

(Java Virtual Machine Process Status Tool)

jps主要用来输出JVM中运行的进程状态信息。语法格式如下:

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jps [options] [hostid]

如果不指定hostid就默认为当前主机或服务器。
命令行参数选项说明如下:
-q 不输出类名、Jar名和传入main方法的参数
-m 输出传入main方法的参数
-l 输出main类或Jar的全限名
-v 输出传入JVM的参数

比如下面:

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root@ubuntu:/# jps -m -l
2458 org.artifactory.standalone.main.Main /usr/local/artifactory-2.2.5/etc/jetty.xml
29920 com.sun.tools.hat.Main -port 9998 /tmp/dump.dat
3149 org.apache.catalina.startup.Bootstrap start
30972 sun.tools.jps.Jps -m -l
8247 org.apache.catalina.startup.Bootstrap start
25687 com.sun.tools.hat.Main -port 9999 dump.dat
21711 mrf-center.jar

2. jstack

jstack -F pid 检查是否有死锁

jstack主要用来查看某个Java进程内的线程堆栈信息。语法格式如下:

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jstack [option] pid
jstack [option] executable core
jstack [option] [server-id@]remote-hostname-or-ip

命令行参数选项说明如下:
-l long listings,会打印出额外的锁信息,在发生死锁时可以用jstack -l pid来观察锁持有情况
-m mixed mode,不仅会输出Java堆栈信息,还会输出C/C++堆栈信息(比如Native方法)

jstack可以定位到线程堆栈,根据堆栈信息我们可以定位到具体代码,所以它在JVM性能调优中使用得非常多。下面我们来一个实例找出某个Java进程中最耗费CPU的Java线程并定位堆栈信息,用到的命令有ps、top、printf、jstack、grep。

第一步先找出Java进程ID,我部署在服务器上的Java应用名称为mrf-center:

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root@ubuntu:/# ps -ef | grep mrf-center | grep -v grep
root 21711 1 1 14:47 pts/3 00:02:10 java -jar mrf-center.jar

得到进程ID为21711,第二步找出该进程内最耗费CPU的线程,可以使用ps -Lfp pid或者ps -mp pid -o THREAD, tid, time或者top -Hp pid,我这里用第三个,输出如下:

image-20220206000913264

TIME列就是各个Java线程耗费的CPU时间,CPU时间最长的是线程ID为21742的线程,用

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printf "%x\n" 21742

得到21742的十六进制值为54ee,下面会用到。

OK,下一步终于轮到jstack上场了,它用来输出进程21711的堆栈信息,然后根据线程ID的十六进制值grep,如下:

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root@ubuntu:/# jstack 21711 | grep 54ee
"PollIntervalRetrySchedulerThread" prio=10 tid=0x00007f950043e000 nid=0x54ee in Object.wait() [0x00007f94c6eda000]

可以看到CPU消耗在PollIntervalRetrySchedulerThread这个类的Object.wait(),我找了下我的代码,定位到下面的代码:

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// Idle wait  
getLog().info("Thread [" + getName() + "] is idle waiting...");
schedulerThreadState = PollTaskSchedulerThreadState.IdleWaiting;
long now = System.currentTimeMillis();
long waitTime = now + getIdleWaitTime();
long timeUntilContinue = waitTime - now;
synchronized(sigLock) {
try {
if(!halted.get()) {
sigLock.wait(timeUntilContinue);
}
}
catch (InterruptedException ignore) {
}
}

它是轮询任务的空闲等待代码,上面的sigLock.wait(timeUntilContinue)就对应了前面的Object.wait()。

jstack信息分析:

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Full thread dump Java HotSpot(TM) 64-Bit Server VM (24.71-b01 mixed mode):  

"Attach Listener" daemon prio=10 tid=0x00007f75a4001000 nid=0x947 waiting on condition [0x0000000000000000]
java.lang.Thread.State: RUNNABLE

"LeaseRenewer:hive@nameservice1" daemon prio=10 tid=0x00007f7364f5a000 nid=0x537 waiting on condition [0x00007f713407f000]
java.lang.Thread.State: TIMED_WAITING (sleeping)
at java.lang.Thread.sleep(Native Method)
at org.apache.hadoop.hdfs.LeaseRenewer.run(LeaseRenewer.java:438)
at org.apache.hadoop.hdfs.LeaseRenewer.access$700(LeaseRenewer.java:71)
at org.apache.hadoop.hdfs.LeaseRenewer$1.run(LeaseRenewer.java:298)
at java.lang.Thread.run(Thread.java:745)

"HiveServer2-Handler-Pool: Thread-883126" prio=10 tid=0x00007f73bc016000 nid=0x4e5 waiting on condition [0x00007f7137bba000]
java.lang.Thread.State: TIMED_WAITING (parking)
at sun.misc.Unsafe.park(Native Method)
- parking to wait for <0x00000006585a35d8> (a java.util.concurrent.SynchronousQueue$TransferStack)
at java.util.concurrent.locks.LockSupport.parkNanos(LockSupport.java:226)
at java.util.concurrent.SynchronousQueue$TransferStack.awaitFulfill(SynchronousQueue.java:460)
at java.util.concurrent.SynchronousQueue$TransferStack.transfer(SynchronousQueue.java:359)
at java.util.concurrent.SynchronousQueue.poll(SynchronousQueue.java:942)
at java.util.concurrent.ThreadPoolExecutor.getTask(ThreadPoolExecutor.java:1068)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1130)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)

"IPC Parameter Sending Thread #729" daemon prio=10 tid=0x00007f7364f59000 nid=0x73cc waiting on condition [0x00007f712c302000]
java.lang.Thread.State: TIMED_WAITING (parking)
at sun.misc.Unsafe.park(Native Method)
- parking to wait for <0x0000000656680e10> (a java.util.concurrent.SynchronousQueue$TransferStack)
at java.util.concurrent.locks.LockSupport.parkNanos(LockSupport.java:226)
at java.util.concurrent.SynchronousQueue$TransferStack.awaitFulfill(SynchronousQueue.java:460)
at java.util.concurrent.SynchronousQueue$TransferStack.transfer(SynchronousQueue.java:359)
at java.util.concurrent.SynchronousQueue.poll(SynchronousQueue.java:942)
at java.util.concurrent.ThreadPoolExecutor.getTask(ThreadPoolExecutor.java:1068)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1130)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)

"HiveServer2-Handler-Pool: Thread-882656" prio=10 tid=0x00007f73bc013000 nid=0x497a waiting on condition [0x00007f712cc0b000]
java.lang.Thread.State: TIMED_WAITING (parking)
at sun.misc.Unsafe.park(Native Method)
- parking to wait for <0x00000006585a35d8> (a java.util.concurrent.SynchronousQueue$TransferStack)
at java.util.concurrent.locks.LockSupport.parkNanos(LockSupport.java:226)
at java.util.concurrent.SynchronousQueue$TransferStack.awaitFulfill(SynchronousQueue.java:460)
at java.util.concurrent.SynchronousQueue$TransferStack.transfer(SynchronousQueue.java:359)
at java.util.concurrent.SynchronousQueue.poll(SynchronousQueue.java:942)
at java.util.concurrent.ThreadPoolExecutor.getTask(ThreadPoolExecutor.java:1068)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1130)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)

"qtp931145444-882653" daemon prio=10 tid=0x00007f747401c000 nid=0x3376 waiting on condition [0x00007f7137dbc000]
java.lang.Thread.State: TIMED_WAITING (parking)
at sun.misc.Unsafe.park(Native Method)
- parking to wait for <0x0000000657459540> (a java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject)
at java.util.concurrent.locks.LockSupport.parkNanos(LockSupport.java:226)
at java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.awaitNanos(AbstractQueuedSynchronizer.java:2082)
at org.eclipse.jetty.util.BlockingArrayQueue.poll(BlockingArrayQueue.java:342)
at org.eclipse.jetty.util.thread.QueuedThreadPool.idleJobPoll(QueuedThreadPool.java:526)
at org.eclipse.jetty.util.thread.QueuedThreadPool.access$600(QueuedThreadPool.java:44)
at org.eclipse.jetty.util.thread.QueuedThreadPool$3.run(QueuedThreadPool.java:572)
at java.lang.Thread.run(Thread.java:745)

"qtp931145444-882456" daemon prio=10 tid=0x00007f7470001000 nid=0x9600 waiting on condition [0x00007f7133776000]
java.lang.Thread.State: TIMED_WAITING (parking)
at sun.misc.Unsafe.park(Native Method)
- parking to wait for <0x0000000657459540> (a java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject)
at java.util.concurrent.locks.LockSupport.parkNanos(LockSupport.java:226)
at java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.awaitNanos(AbstractQueuedSynchronizer.java:2082)
at org.eclipse.jetty.util.BlockingArrayQueue.poll(BlockingArrayQueue.java:342)
at org.eclipse.jetty.util.thread.QueuedThreadPool.idleJobPoll(QueuedThreadPool.java:526)
at org.eclipse.jetty.util.thread.QueuedThreadPool.access$600(QueuedThreadPool.java:44)
at org.eclipse.jetty.util.thread.QueuedThreadPool$3.run(QueuedThreadPool.java:572)
at java.lang.Thread.run(Thread.java:745)

"qtp931145444-882454" daemon prio=10 tid=0x00007f7454005800 nid=0x8ca1 waiting on condition [0x00007f713508f000]
java.lang.Thread.State: TIMED_WAITING (parking)
at sun.misc.Unsafe.park(Native Method)
- parking to wait for <0x0000000657459540> (a java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject)
at java.util.concurrent.locks.LockSupport.parkNanos(LockSupport.java:226)
at java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.awaitNanos(AbstractQueuedSynchronizer.java:2082)
at org.eclipse.jetty.util.BlockingArrayQueue.poll(BlockingArrayQueue.java:342)
at org.eclipse.jetty.util.thread.QueuedThreadPool.idleJobPoll(QueuedThreadPool.java:526)
at org.eclipse.jetty.util.thread.QueuedThreadPool.access$600(QueuedThreadPool.java:44)
at org.eclipse.jetty.util.thread.QueuedThreadPool$3.run(QueuedThreadPool.java:572)
at java.lang.Thread.run(Thread.java:745)

"qtp931145444-881328" daemon prio=10 tid=0x00007f746c001800 nid=0x184c waiting on condition [0x00007f713306f000]
java.lang.Thread.State: TIMED_WAITING (parking)
at sun.misc.Unsafe.park(Native Method)
- parking to wait for <0x0000000657459540> (a java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject)
at java.util.concurrent.locks.LockSupport.parkNanos(LockSupport.java:226)
at java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.awaitNanos(AbstractQueuedSynchronizer.java:2082)
at org.eclipse.jetty.util.BlockingArrayQueue.poll(BlockingArrayQueue.java:342)
at org.eclipse.jetty.util.thread.QueuedThreadPool.idleJobPoll(QueuedThreadPool.java:526)
at org.eclipse.jetty.util.thread.QueuedThreadPool.access$600(QueuedThreadPool.java:44)
at org.eclipse.jetty.util.thread.QueuedThreadPool$3.run(QueuedThreadPool.java:572)
at java.lang.Thread.run(Thread.java:745)

"pool-68894-thread-1" prio=10 tid=0x00007f73649a1800 nid=0x6d7 waiting on condition [0x00007f7130544000]
java.lang.Thread.State: TIMED_WAITING (parking)
at sun.misc.Unsafe.park(Native Method)
- parking to wait for <0x00000006c5af6798> (a java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject)
at java.util.concurrent.locks.LockSupport.parkNanos(LockSupport.java:226)
at java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.awaitNanos(AbstractQueuedSynchronizer.java:2082)
at java.util.concurrent.ScheduledThreadPoolExecutor$DelayedWorkQueue.take(ScheduledThreadPoolExecutor.java:1090)
at java.util.concurrent.ScheduledThreadPoolExecutor$DelayedWorkQueue.take(ScheduledThreadPoolExecutor.java:807)
at java.util.concurrent.ThreadPoolExecutor.getTask(ThreadPoolExecutor.java:1068)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1130)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)

各状态说明:

New: 当线程对象创建时存在的状态,此时线程不可能执行;

Runnable:当调用thread.start()后,线程变成为Runnable状态。只要得到CPU,就可以执行;

Running:线程正在执行;

Waiting:执行thread.join()或在锁对象调用obj.wait()等情况就会进该状态,表明线程正处于等待某个资源或条件发生来唤醒自己;

Timed_Waiting:执行Thread.sleep(long)、thread.join(long)或obj.wait(long)等就会进该状态,与Waiting的区别在于Timed_Waiting的等待有时间限制;

Blocked:如果进入同步方法或同步代码块,没有获取到锁,则会进入该状态;

Dead:线程执行完毕,或者抛出了未捕获的异常之后,会进入dead状态,表示该线程结束

其次,对于jstack日志,我们要着重关注如下关键信息

Deadlock:表示有死锁

Waiting on condition:等待某个资源或条件发生来唤醒自己。具体需要结合jstacktrace来分析,比如线程正在sleep,网络读写繁忙而等待

Blocked:阻塞

Waiting on monitor entry:在等待获取锁

**in Object.wait()**:获取锁后又执行obj.wait()放弃锁

对于Waiting on monitor entry 和 in Object.wait()的详细描述:Monitor是 Java中用以实现线程之间的互斥与协作的主要手段,它可以看成是对象或者 Class的锁。每一个对象都有,也仅有一个 monitor。从下图中可以看出,每个 Monitor在某个时刻,只能被一个线程拥有,该线程就是 “Active Thread”,而其它线程都是 “Waiting Thread”,分别在两个队列 “ Entry Set”和 “Wait Set”里面等候。在 “Entry Set”中等待的线程状态是 “Waiting for monitor entry”,而在 “Wait Set”中等待的线程状态是 “in Object.wait()”

总结:

对于jstack日志,我们要着重关注如下关键信息

Deadlock:表示有死锁

Waiting on condition:等待某个资源或条件发生来唤醒自己。具体需要结合jstacktrace来分析,比如线程正在sleep,网络读写繁忙而等待

Blocked:阻塞

Waiting on monitor entry:在等待获取锁

如果说系统慢,那么要特别关注Blocked,Waiting on condition

如果说系统的cpu耗的高,那么肯定是线程执行有死循环,那么此时要关注下Runable状态。

3. jmap

(Memory Map)和jhat(Java Heap Analysis Tool)
jmap用来查看堆内存使用状况,一般结合jhat使用。

jmap语法格式如下:

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jmap [option] pid
jmap [option] executable core
jmap [option] [server-id@]remote-hostname-or-ip

如果运行在64JVM上,可能需要指定-J-d64命令选项参数。
jmap -permstat pid

打印进程的类加载器和类加载器加载的持久代对象信息,输出:类加载器名称、对象是否存活(不可靠)、对象地址、父类加载器、已加载的类大小等信息,如下图:

image-20220206001149161

使用jmap -heap pid查看进程堆内存使用情况,包括使用的GC算法、堆配置参数和各代中堆内存使用情况。比如下面的例子:

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root@ubuntu:/# jmap -heap 21711
Attaching to process ID 21711, please wait...
Debugger attached successfully.
Server compiler detected.
JVM version is 20.10-b01

using thread-local object allocation.
Parallel GC with 4 thread(s)

Heap Configuration:
MinHeapFreeRatio = 40
MaxHeapFreeRatio = 70
MaxHeapSize = 2067791872 (1972.0MB)
NewSize = 1310720 (1.25MB)
MaxNewSize = 17592186044415 MB
OldSize = 5439488 (5.1875MB)
NewRatio = 2
SurvivorRatio = 8
PermSize = 21757952 (20.75MB)
MaxPermSize = 85983232 (82.0MB)

Heap Usage:
PS Young Generation
Eden Space:
capacity = 6422528 (6.125MB)
used = 5445552 (5.1932830810546875MB)
free = 976976 (0.9317169189453125MB)
84.78829520089286% used
From Space:
capacity = 131072 (0.125MB)
used = 98304 (0.09375MB)
free = 32768 (0.03125MB)
75.0% used
To Space:
capacity = 131072 (0.125MB)
used = 0 (0.0MB)
free = 131072 (0.125MB)
0.0% used
PS Old Generation
capacity = 35258368 (33.625MB)
used = 4119544 (3.9287033081054688MB)
free = 31138824 (29.69629669189453MB)
11.683876009235595% used
PS Perm Generation
capacity = 52428800 (50.0MB)
used = 26075168 (24.867218017578125MB)
free = 26353632 (25.132781982421875MB)
49.73443603515625% used
....

使用jmap -histo[:live] pid查看堆内存中的对象数目、大小统计直方图,如果带上live则只统计活对象,如下:

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root@ubuntu:/# jmap -histo:live 21711 | more

num #instances #bytes class name
----------------------------------------------
1: 38445 5597736 <constMethodKlass>
2: 38445 5237288 <methodKlass>
3: 3500 3749504 <constantPoolKlass>
4: 60858 3242600 <symbolKlass>
5: 3500 2715264 <instanceKlassKlass>
6: 2796 2131424 <constantPoolCacheKlass>
7: 5543 1317400 [I
8: 13714 1010768 [C
9: 4752 1003344 [B
10: 1225 639656 <methodDataKlass>
11: 14194 454208 java.lang.String
12: 3809 396136 java.lang.Class
13: 4979 311952 [S
14: 5598 287064 [[I
15: 3028 266464 java.lang.reflect.Method
16: 280 163520 <objArrayKlassKlass>
17: 4355 139360 java.util.HashMap$Entry
18: 1869 138568 [Ljava.util.HashMap$Entry;
19: 2443 97720 java.util.LinkedHashMap$Entry
20: 2072 82880 java.lang.ref.SoftReference
21: 1807 71528 [Ljava.lang.Object;
22: 2206 70592 java.lang.ref.WeakReference
23: 934 52304 java.util.LinkedHashMap
24: 871 48776 java.beans.MethodDescriptor
25: 1442 46144 java.util.concurrent.ConcurrentHashMap$HashEntry
26: 804 38592 java.util.HashMap
27: 948 37920 java.util.concurrent.ConcurrentHashMap$Segment
28: 1621 35696 [Ljava.lang.Class;
29: 1313 34880 [Ljava.lang.String;
30: 1396 33504 java.util.LinkedList$Entry
31: 462 33264 java.lang.reflect.Field
32: 1024 32768 java.util.Hashtable$Entry
33: 948 31440 [Ljava.util.concurrent.ConcurrentHashMap$HashEntry;

class name是对象类型,说明如下:

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B  byte
C char
D double
F float
I int
J long
Z boolean
[ 数组,如[I表示int[]
[L+类名 其他对象

还有一个很常用的情况是:用jmap把进程内存使用情况dump到文件中,再用jhat分析查看。jmap进行dump命令格式如下:

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jmap -dump:format=b,file=dumpFileName

我一样地对上面进程ID为21711进行Dump:

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root@ubuntu:/# jmap -dump:format=b,file=/tmp/dump.dat 21711     
Dumping heap to /tmp/dump.dat ...
Heap dump file created

dump出来的文件可以用MAT、VisualVM等工具查看,这里用jhat查看:

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root@ubuntu:/# jhat -port 9998 /tmp/dump.dat
Reading from /tmp/dump.dat...
Dump file created Tue Jan 28 17:46:14 CST 2014
Snapshot read, resolving...
Resolving 132207 objects...
Chasing references, expect 26 dots..........................
Eliminating duplicate references..........................
Snapshot resolved.
Started HTTP server on port 9998
Server is ready.

然后就可以在浏览器中输入主机地址:9998查看了:

image-20220206001326784

上面红线框出来的部分大家可以自己去摸索下,最后一项支持OQL(对象查询语言)。

4. jstat

(JVM统计监测工具)
语法格式如下:

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jstat [ generalOption | outputOptions vmid [interval[s|ms] [count]] ]

vmid是虚拟机ID,在Linux/Unix系统上一般就是进程ID。interval是采样时间间隔。count是采样数目。比如下面输出的是GC信息,采样时间间隔为250ms,采样数为4:

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root@ubuntu:/# jstat -gc 21711 250 4
S0C S1C S0U S1U EC EU OC OU PC PU YGC YGCT FGC FGCT GCT
192.0 192.0 64.0 0.0 6144.0 1854.9 32000.0 4111.6 55296.0 25472.7 702 0.431 3 0.218 0.649
192.0 192.0 64.0 0.0 6144.0 1972.2 32000.0 4111.6 55296.0 25472.7 702 0.431 3 0.218 0.649
192.0 192.0 64.0 0.0 6144.0 1972.2 32000.0 4111.6 55296.0 25472.7 702 0.431 3 0.218 0.649
192.0 192.0 64.0 0.0 6144.0 2109.7 32000.0 4111.6 55296.0 25472.7 702 0.431 3 0.218 0.649

要明白上面各列的意义,先看JVM堆内存布局:

image-20220206001433198

可以看出:

堆内存 = 年轻代 + 年老代 + 永久代
年轻代 = Eden区 + 两个Survivor区(From和To)

现在来解释各列含义:

S0C、S1C、S0U、S1U:Survivor 0/1区容量(Capacity)和使用量(Used)
EC、EU:Eden区容量和使用量
OC、OU:年老代容量和使用量
PC、PU:永久代容量和使用量
YGC、YGT:年轻代GC次数和GC耗时
FGC、FGCT:Full GC次数和Full GC耗时
GCT:GC总耗时


05-jstack,jmap,jstat
https://janycode.github.io/2020/06/11/07_虚拟机/05-jstack,jmap,jstat/
作者
Jerry(姜源)
发布于
2020年6月11日
许可协议