最近在溫故《深入理解Java虛擬機(jī)》,對(duì)第四章的工具進(jìn)行筆記記錄衰伯,備忘。
jps
用來(lái)查看正在運(yùn)行的虛擬機(jī)進(jìn)程积蔚,功能單一但高頻的小工具意鲸。使用如下:
hadoop@hzbxs-bigdata16:~$ jps
40759 AzkabanWebServer
41031 AzkabanExecutorServer
11860 Jps
第一列是LVMID(Local Virtual Machine Identifier),本地虛擬機(jī)進(jìn)程的LVMID就是操作系統(tǒng)的進(jìn)程ID尽爆;第二列是進(jìn)程啟動(dòng)的主類怎顾。
?jps的常用選項(xiàng)有:
選項(xiàng) | 用途 |
---|---|
-m | 輸出虛擬機(jī)進(jìn)程啟動(dòng)時(shí)傳遞給主類main()函數(shù)的參數(shù) |
-v | 輸出虛擬機(jī)進(jìn)程啟動(dòng)時(shí)JVM參數(shù) |
jstat
用來(lái)在虛擬機(jī)運(yùn)行中監(jiān)視各種運(yùn)行狀態(tài)信息,是運(yùn)行期定位虛擬機(jī)性能問(wèn)題的首選工具漱贱。格式如下: jstat -<option> <vmid> [<interval> [<count>]]
?option是選項(xiàng)槐雾;vmid 對(duì)本地進(jìn)程來(lái)說(shuō)跟LVMID一樣;interval 是查詢間隔幅狮;count是查詢次數(shù)募强。
下邊是使用范例,jstat -gc 40759 2000 5 崇摄,表示查詢進(jìn)程40759的Java堆情況擎值,查詢5次航厚,間隔2000ms:
hadoop@hzbxs-bigdata16:~$ jstat -gc 40759 2000 5
Warning: Unresolved Symbol: sun.gc.generation.2.space.0.capacity substituted NaN
Warning: Unresolved Symbol: sun.gc.generation.2.space.0.used substituted NaN
S0C S1C S0U S1U EC EU OC OU PC PU YGC YGCT FGC FGCT GCT
512.0 512.0 0.0 128.0 18432.0 3045.8 149504.0 90560.0 ? ? 2433 12.128 5 0.475 12.603
512.0 512.0 0.0 128.0 18432.0 3045.8 149504.0 90560.0 ? ? 2433 12.128 5 0.475 12.603
512.0 512.0 0.0 128.0 18432.0 3045.8 149504.0 90560.0 ? ? 2433 12.128 5 0.475 12.603
512.0 512.0 0.0 128.0 18432.0 3045.8 149504.0 90560.0 ? ? 2433 12.128 5 0.475 12.603
512.0 512.0 0.0 128.0 18432.0 3050.5 149504.0 90560.0 ? ? 2433 12.128 5 0.475 12.603
主要選項(xiàng)比較多味混,出了上邊的-gc孽亲,下邊再介紹 -gcutil瘾带,輸出的內(nèi)容和-gc基本相同队萤,但是主要關(guān)注空間占用全部空間的總百分比盅视。如下:
hadoop@hzbxs-bigdata16:~$ jstat -gcutil 40759 2000 5
Warning: Unresolved Symbol: sun.gc.generation.2.space.0.capacity substituted NaN
Warning: Unresolved Symbol: sun.gc.generation.2.space.0.used substituted NaN
Warning: Unresolved Symbol: sun.gc.generation.2.space.0.capacity substituted NaN
S0 S1 E O P YGC YGCT FGC FGCT GCT
31.25 0.00 43.46 60.57 ? 2428 12.108 5 0.475 12.582
31.25 0.00 43.46 60.57 ? 2428 12.108 5 0.475 12.582
31.25 0.00 43.46 60.57 ? 2428 12.108 5 0.475 12.582
31.25 0.00 43.46 60.57 ? 2428 12.108 5 0.475 12.582
31.25 0.00 43.46 60.57 ? 2428 12.108 5 0.475 12.582
各區(qū)含義詳見書的前幾章:S0 S1 代表兩個(gè)Survivor區(qū)创橄,E代表Eden區(qū)(新生代)射亏,O代表Old區(qū)(老年代),P代表(永久代)命斧,YGC(Minor GC,Young GC發(fā)生次數(shù))田晚,YGCT(耗時(shí)),FGC(Full GC發(fā)生次數(shù)),F(xiàn)GCT(耗時(shí))国葬,GCT(GC 總耗時(shí))
jinfo
用于是實(shí)時(shí)查看和修改虛擬機(jī)各項(xiàng)參數(shù)肉瓦。感覺不好用,簡(jiǎn)單Mark算了:
hadoop@hzbxs-bigdata16:~$ jinfo -flag CMSInitiatingOccupancyFraction 40759
-XX:CMSInitiatingOccupancyFraction=-1
jmap
用于生成堆轉(zhuǎn)儲(chǔ)快照(也就是Heapdump文件)
下邊僅介紹常用的-dump參數(shù):
hadoop@hzbxs-bigdata16:~$ jmap -dump:file=mydump.bin,format=b 40759
Dumping heap to /home/hadoop/mydump.bin ...
Heap dump file created
hadoop@hzbxs-bigdata16:~$ ls mydump.bin
mydump.bin
導(dǎo)出bin文件胃惜,用 內(nèi)存分析工具打開泞莉,可以看到非常詳盡的信息。工具可以去eclipse官網(wǎng)下載(Eclipse Memory Analyzer),可以下載插件模式或者是獨(dú)立軟件模式船殉,建議后者鲫趁。
jstack
用于生成虛擬機(jī)當(dāng)前時(shí)刻的線程堆棧信息。這個(gè)工具是定位線程死鎖利虫、死循環(huán)等等各種卡頓問(wèn)題的利器挨厚。使用非常簡(jiǎn)單堡僻,如下:
hadoop@hzbxs-bigdata16:~$ jstack 21024 >> mystack.log
將jstack的輸出重定向到我的文件mystack.log,然后就隨意看疫剃,less钉疫、vim、notepad任君選擇巢价。如下:
2017-06-18 16:17:42
Full thread dump Java HotSpot(TM) 64-Bit Server VM (25.72-b15 mixed mode):
"Attach Listener" #96 daemon prio=9 os_prio=0 tid=0x0000000000f96000 nid=0xd25b waiting on condition [0x0000000000000000]
java.lang.Thread.State: RUNNABLE
"257026550@qtp-1033304734-10" #90 prio=5 os_prio=0 tid=0x00007fbfba139800 nid=0x8624 in Object.wait() [0x00007fbfb729a000]
java.lang.Thread.State: TIMED_WAITING (on object monitor)
at java.lang.Object.wait(Native Method)
at org.mortbay.thread.QueuedThreadPool$PoolThread.run(QueuedThreadPool.java:626)
- locked <0x00000006c7ce6b80> (a org.mortbay.thread.QueuedThreadPool$PoolThread)
"pool-1-thread-5" #43 prio=5 os_prio=0 tid=0x00007fbfb9d94800 nid=0x5d0a waiting on condition [0x00007fbfb6591000]
java.lang.Thread.State: WAITING (parking)
at sun.misc.Unsafe.park(Native Method)
- parking to wait for <0x00000006c01cdcc0> (a java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject)
at java.util.concurrent.locks.LockSupport.park(LockSupport.java:175)
at java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.await(AbstractQueuedSynchronizer.java:2039)
at java.util.concurrent.LinkedBlockingQueue.take(LinkedBlockingQueue.java:442)
at java.util.concurrent.ThreadPoolExecutor.getTask(ThreadPoolExecutor.java:1067)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1127)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
除了以上幾個(gè)常用的命令工具牲阁,還有兩個(gè)非常強(qiáng)大的可視化工具,分別是JConsole 和 VisualVM. 這兩個(gè)工具很強(qiáng)大很簡(jiǎn)單壤躲,有時(shí)間再學(xué)城菊。