![]() Therefore, we are able to identify the root of the problem by looking at the source code or other internal JVM processing.Īt the end of the dump, we'll notice there are several additional threads performing background operations such as Garbage Collection (GC) or object termination: "VM Thread" os_prio=31 cpu=1.85ms elapsed=11.50s tid=0x00007fd7a7a0c170 nid=0x3603 runnable ![]() ![]() If we look further down we'll see all the JVM methods executed by our application behind the scenes. (a .ReentrantLock$NonfairSync)Īt a first glance, we see that the main stack trace is executing java.io.BufferedReader.readLine which is the expected behavior. Let's focus only on the interesting bits of the stack waiting to consume the message: "Monitor Ctrl-Break" #12 daemon prio=5 os_prio=31 cpu=17.42ms elapsed=11.42s tid=0x00007fd7a6896200 nid=0圆603 runnable Īt .SocketDispatcher.read0( /Native Method)Īt .SocketDispatcher.read( /SocketDispatcher.java:47)Īt .yRead( /NioSocketImpl.java:261)Īt .NioSocketImpl.implRead( /NioSocketImpl.java:312)Īt .NioSocketImpl.read( /NioSocketImpl.java:350)Īt .NioSocketImpl$1.read( /NioSocketImpl.java:803)Īt $SocketInputStream.read( /Socket.java:981)Īt .StreamDecoder.readBytes( /StreamDecoder.java:297)Īt .StreamDecoder.implRead( /StreamDecoder.java:339)Īt .StreamDecoder.read( /StreamDecoder.java:188)Īt java.io.InputStreamReader.read( /InputStreamReader.java:181)Īt java.io.BufferedReader.fill( /BufferedReader.java:161)Īt java.io.BufferedReader.readLine( /BufferedReader.java:326)Īt java.io.BufferedReader.readLine( /BufferedReader.java:392)Īt .2$1.run(AppMainV2.java:61) We can see from top to bottom what the different threads are doing at the time of the snapshot. Stack trace: the most important source of information to decipher what is happening with our application.Native ID (nid): the unique ID given by the OS, useful to extract correlation with CPU or memory processing.Java ID (tid): the unique ID given by the JVM.Priority (prior): the priority of the thread.Name: it can provide useful information if developers include a meaningful thread name.We have more than 4000+ system properties to configure the runtime and 600+ technology extensions libraries so it might be overkill unless one has a complex problem to solve and/or using the same tool across development, test and production is paramount. I should be point out that JXInsight is designed for software performance engineers and not just for the occasional adhoc profiling session. I am the architect of JXInsight so of course I am completely biased but at the same time I am probably more qualified than most in the Java industry to make such a claim since I have devoted the last 8 years to performance analysis for some of the most demanding of Java/J2EE application in production. JXInsight's Probes technology is also the only one that could even run in production considering that we out perform netbeans profiler by 20x and yourkit 100x in SPECjvm2008 benchmarks. ![]() None of the tools other than JXInsight perform real database transaction analysis:
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