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  • Memory Profiling with DotTrace Questions

    - by cam
    I ran dotTrace on my application (which is having some issues). IntPtr System.Windows.Forms.UnsafeNativeMethods.CallWindowProc(IntPtr, IntPtr, Int32, IntPtr, IntPtr) Void System.Windows.Forms.UnsafeNativeMethods.WaitMessage() Are the two main functions that came up, taking about 94% of the application time. Since I didn't know what these two functions were, I ran through my code line by line. It runs smooth and efficiently until a point where it just hangs. "newFrm.Show()". The newFrm only contains a textbox. The larger the file I load into the text box (it's a notepad program), the longer it takes. Now normally this makes sense, but it takes about 30 seconds for a 167 kB file. Now I'm not sure what to do. It runs incredibly slow/stops functioning when you load a textfile and try to resize the window containing the text file too. Then I realized that it is only struggling to open text files with a long string of hex inside (ie) "XX-XX-XX-" etc. With other similarly sized files it struggles with resizing somewhat, but opens within a couple seconds. Does this have something to do with the textbox properties? I've set it to multiline and set maximum characters to 0 (so unlimited). How do I solve this issue? Is there some way I can see what is being called in those functions?

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  • C++ Asymptotic Profiling

    - by Travis
    I have a performance issue where I suspect one standard C library function is taking too long and causing my entire system (suite of processes) to basically "hiccup". Sure enough if I comment out the library function call, the hiccup goes away. This prompted me to investigate what standard methods there are to prove this type of thing? What would be the best practice for testing a function to see if it causes an entire system to hang for a sec (causing other processes to be momentarily starved)? I would at least like to definitively correlate the function being called and the visible freeze. Thanks

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  • What's throttling the database?

    - by Troels Arvin
    Hardware: Intel x86_64 with 192GB of RAM. OS: CentOS 5.4 x86_64. DBMS: DB2 v. 9.7.1 64 bit. During certain special workloads (e.g. parallel REORGs/RUNSTATs), I've seen the server transporting 450MB/s with 25000IO/s (yes, there is probably some storage system caching happening here) while all CPU cores were happily working in an even mix of usermode/wait. And disk benchmark tools can also bring some very satisfying bandwith and IO/s numbers to the table. On the other hand, we also have another scenario: A single rather complex query with at least one large table scan. db2's "list applications" reports that the query is Executing (not locked). IO: At most 10MB/s, 500 IO/s; CPU: two cores in 99.9% wait state, all other cores 100% idle. The tables which the query reads from have been altered to have LOCKSIZE=TABLE, so I would think that lock list work is zero. What's going on in such a situation? What tools/snapshots/... can I use to gain better insight in such a case?

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  • Application Profiling: Memory Usage

    - by Abs
    Hello all, I have switched on the Codeigniter profile (very useful) and I have noticed that a page of mine shows the memory used as: 2,405,496 bytes That's ~2MB and it's for one request - does it mean if 1000 users accessed this page at the same time, memory usage will be 2GB? Have I got my maths wrong or is there more to this than just multiplying two numbers? Thanks all for any help

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  • Need help profiling .NET caching extension method.

    - by rockinthesixstring
    I've got the following extension Public Module CacheExtensions Sub New() End Sub Private sync As New Object() Public Const DefaultCacheExpiration As Integer = 1200 ''# 20 minutes <Extension()> Public Function GetOrStore(Of T)(ByVal cache As Cache, ByVal key As String, ByVal generator As Func(Of T)) As T Return cache.GetOrStore(key, If(generator IsNot Nothing, generator(), Nothing), DefaultCacheExpiration) End Function <Extension()> Public Function GetOrStore(Of T)(ByVal cache As Cache, ByVal key As String, ByVal generator As Func(Of T), ByVal expireInSeconds As Double) As T Return cache.GetOrStore(key, If(generator IsNot Nothing, generator(), Nothing), expireInSeconds) End Function <Extension()> Public Function GetOrStore(Of T)(ByVal cache As Cache, ByVal key As String, ByVal obj As T) As T Return cache.GetOrStore(key, obj, DefaultCacheExpiration) End Function <Extension()> Public Function GetOrStore(Of T)(ByVal cache As Cache, ByVal key As String, ByVal obj As T, ByVal expireInSeconds As Double) As T Dim result = cache(key) If result Is Nothing Then SyncLock sync If result Is Nothing Then result = If(obj IsNot Nothing, obj, Nothing) cache.Insert(key, result, Nothing, DateTime.Now.AddSeconds(expireInSeconds), cache.NoSlidingExpiration) End If End SyncLock End If Return DirectCast(result, T) End Function End Module From here, I'm using the extension is a TagService to get a list of tags Public Function GetTagNames() As List(Of String) Implements Domain.ITagService.GetTags ''# We're not using a dynamic Cache key because the list of TagNames ''# will persist across all users in all regions. Return HttpRuntime.Cache.GetOrStore(Of List(Of String))("TagNamesOnly", Function() _TagRepository.Read().Select(Function(t) t.Name).OrderBy(Function(t) t).ToList()) End Function All of this is pretty much straight forward except when I put a breakpoint on _TagRepository.Read(). The problem is that it is getting called on every request, when I thought that it is only to be called when Result Is Nothing Am I missing something here?

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  • Cisco 7206vxr cpu reducing

    - by naimson
    I have a 7206VXR (NPE-G2) . At the rate of 140 kpps i gain 80% of cpu . So i looking for ways how to reduce it? So i want to turn off netflow(but don't want to this,monitoring is highly important for me), but it will give me only 10-20% ? At this moment with 84kpps i have 58% sh processes cpu sorted give me this. PID Runtime(ms) Invoked uSecs 5Sec 1Min 5Min TTY Process 109 163534600 537236763 304 35.38% 32.83% 16.85% 0 IP Input 67 829396 52280 15864 0.15% 0.01% 0.00% 0 Per-minute Jobs 68 5542736 3053476 1815 0.15% 0.18% 0.16% 0 Per-Second Jobs 51 635852 1116315 569 0.07% 0.03% 0.02% 0 Net Background 329 120396 4607274 26 0.07% 0.00% 0.00% 0 EIGRP-IPv4 Hello 105 50508 95032488 0 0.07% 0.05% 0.05% 0 IPAM Manager 6 4068580 476916 8531 0.00% 0.07% 0.05% 0 Check heaps 7 7768 3634 2137 0.00% 0.00% 0.00% 0 Pool Manager 8 0 1 0 0.00% 0.00% 0.00% 0 DiscardQ Backgro 10 8 708 11 0.00% 0.00% 0.00% 0 WATCH_AFS 5 0 1 0 0.00% 0.00% 0.00% 0 RO Notify Timers 12 0 2 0 0.00% 0.00% 0.00% 0 ATM VC Auto Crea 9 0 2 0 0.00% 0.00% 0.00% 0 Timers 11 0 2 0 0.00% 0.00% 0.00% 0 ATM AutoVC Perio 13 296 610532 0 0.00% 0.00% 0.00% 0 IPC Event Notifi 16 0 1 0 0.00% 0.00% 0.00% 0 IPC Zone Manager 17 3584 2980311 1 0.00% 0.00% 0.00% 0 IPC Periodic Tim 4 0 1 0 0.00% 0.00% 0.00% 0 EDDRI_MAIN 19 0 1 0 0.00% 0.00% 0.00% 0 IPC Process leve 20 0 1 0 0.00% 0.00% 0.00% 0 IPC Seat Manager 21 96 174453 0 0.00% 0.00% 0.00% 0 IPC Check Queue 14 4 50890 0 0.00% 0.00% 0.00% 0 IPC Dynamic Cach 3 0 1 0 0.00% 0.00% 0.00% 0 cpf_process_tpQ 24 756 305371 2 0.00% 0.00% 0.00% 0 IPC Keep Alive M 25 2340 610561 3 0.00% 0.00% 0.00% 0 IPC Loadometer 22 0 1 0 0.00% 0.00% 0.00% 0 IPC Seat RX Cont 15 0 1 0 0.00% 0.00% 0.00% 0 IPC Session Serv 18 1620 2980310 0 0.00% 0.00% 0.00% 0 IPC Deferred Por 29 0 1 0 0.00% 0.00% 0.00% 0 Exception contro sh run(greped): http://pastie.org/5483194 Hardware: c7200p-adventerprisek9-mz.151-4.M1.bin Cisco 7206VXR (NPE-G2) processor (revision A) with 917504K/65536K bytes of memory. Processor board ID 2xxxxxxx MPC7448 CPU at 1666Mhz, Implementation 0, Rev 2.2 6 slot VXR midplane, Version 2.1

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  • How to profiling my C++ application on linux

    - by richard
    HI, I would like to profile my c++ application on linux. I would like to find out how much time my application spent on CPU processing vs time spent on block by IO/being idle. I know there is a profile tool call valgrind on linux. But it breaks down time spent on each method, and it does not give me an overall picture of how much time spent on CPU processing vs idle? Or is there a way to do that with valgrind. Thank you.

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  • Slow Scala assert

    - by Dave
    We've been profiling our code recently and we've come across a few annoying hotspots. They're in the form assert(a == b, a + " is not equal to " + b) Because some of these asserts can be in code called a huge amount of times the string concat starts to add up. assert is defined as: def assert(assumption : Boolean, message : Any) = .... why isn't it defined as: def assert(assumption : Boolean, message : => Any) = .... That way it would evaluate lazily. Given that it's not defined that way is there an inline way of calling assert with a message param that is evaluated lazily? Thanks

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  • Out of Memory - web applications

    - by Walter White
    Hi all, I am trying to figure out why Jetty 6.1.22 is running out of memory on my laptop. I have 2 web applications running JBoss Seam, Hibernate (with EHCache), and separate Quartz scheduler instances. With little load, the server dies throwing OutOfMemory. What can I look for? Would you think that I am not properly closing handles for input streams or files? I tried profiling my application with Netbeans, but it works off and on. Usually, it ends up locking up even though it doesn't use that much CPU or memory. Walter

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  • OutOfMemoryException - out of ideas

    - by Captain Comic
    Hi I have a net Windows service that is constantly throwing OutOfMemoryException. The service has two builds for x86 and x64 Windows. However on x64 it consumes a lot more memory. I have tried profiling it with various memory profilers. But I cannot get a clue what the problem is. The diagnosis - service consumes lot of VMSize. Also I tried to look at performance counters (perfmon.exe). What I can see is that heap size is growing and %GC time is 19%. My application has threads and locking objects, DB connections and WCF interface. See first app in list The link to picture with performance counters view http://s006.radikal.ru/i215/1003/0b/ddb3d6c80809.jpg

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  • Automate gdb: show backtrace every 10 ms.

    - by osgx
    Hello I want to write a script for gdb, which will save backtrace (stack) of process every 10 ms. How can I do this? It can be smth like call graph profiling for 'penniless' (for people, who can't use any sort of advanced profiler). Yes, there are a lot of advanced profilers. For popular CPUs and for popular OSes. Shark is very impressive and easy to use, but I want to get a basic functionality with such script, working with gdb.

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  • Measuring daemon CPU utilization over a portion of it's wall clock run time

    - by WhirlWind
    I am dealing with a network-related daemon: it takes data in, processes it, and spits it out. I would like to increase the performance of this daemon by profiling it and reducing it's CPU utilization. I can do this easily on Linux with gprof. However, I would also like to use something like "time" to measure it's total CPU utilization over a period of time. If possible, I would like to time it over a period that is less than its total run time: thus, I would like to start the daemon, wait awhile, generate CPU statistics, stop generating them, then stop the daemon at some later time. The "time" command would work well for me, but it seems to require that I start and stop the daemon as a child of time. Is there a way to measure CPU utilization for only a portion of the daemon's wall clock time?

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  • Using cProfile results with KCacheGrind

    - by Adam Luchjenbroers
    I'm using cProfile to profile my Python program. Based upon this talk I was under the impression that KCacheGrind could parse and display the output from cProfile. However, when I go to import the file, KCacheGrind just displays an 'Unknown File Format' error in the status bar and sits there displaying nothing. Is there something special I need to do before my profiling stats are compatible with KCacheGrind? ... if profile: import cProfile profileFileName = 'Profiles/pythonray_' + time.strftime('%Y%m%d_%H%M%S') + '.profile' profile = cProfile.Profile() profile.run('pilImage = camera.render(scene, samplePattern)') profile.dump_stats(profileFileName) profile.print_stats() else: pilImage = camera.render(scene, samplePattern) ... Package Versions KCacheGrind 4.3.1 Python 2.6.2

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  • Java not working on MacOS X Leopard

    - by eeeeaaii
    I'm running Leopard, xcode 3.1.3. When I type "java" at the command line I get this: dyld: could not load inserted library: /usr/lib/libSaturnFE.dylib Trace/BPT trap What did I do? I did do some profiling with Saturn a while back but I didn't know it was going to screw up my machine. I'm fairly sure it worked when I first installed xcode. I guess I could install a different Java SDK than the one that came with Xcode? I can't find an upgrade path for Xcode that doesn't require me to upgrade to Snow Leopard. I just don't feel like upgrading to Snow Leopard right now because I don't have good disk backups in place. edit: at least if anybody could point me to a resource or even a Mac forum where I could ask this question it would be really helpful.

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  • looking for a good vc++ profiler, already checked previous posts

    - by coreSOLO
    I'm looking for a good profiler for vs2008 professional edition, free or reasonably priced. I've already checked previous posts and tried about 8 profilers, but most of them are too basic or too detailed. Kindly suggest something, my requirements are as follows: It can be compiled, so that its well integrated with my application. I'm not shying away from instrumenting my methods. The output should be simple, i only need call count and time taken by methods and nothing else. I am mostly concerned about things INSIDE a method, you may call it line by line profiling. I want to select a method and know which line (expression / method call) is eating most of the time.

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  • What is the easiest straightforward way of telling which version performs better?

    - by Peter Perhác
    I have an application, which I have re-factored so that I believe it is now faster. One can't possibly feel the difference, but in theory, the application should run faster. Normally I would not care, but as this is part of my project for my master's degree, I would like to support my claim that the re-factoring did not only lead to improved design and 'higher quality', but also an increase in performance of the application (a small toy-thing - a train set simulation). I have toyed with the latest VisualVM thing today for about four hours but I couldn't get anything helpful out of it. There isn't (or I haven't found it) a way to simply compare the profiling results taken from the two versions (pre- and post- refactoring). What would be the easiest, the most straightforward way of simply telling the slower from the faster version of the application. The difference of the two must have had an impact on the performance. Thank you.

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  • Linux time sample based profiler.

    - by Caspin
    short version: Is there a good time based sampling profiler for Linux? long version: I generally use OProfile to optimize my applications. I recently found a shortcoming that has me wondering. The problem was a tight loop spawning c++filt to demangle a c++ name. I only stumbled upon the code by accident while chasing down another bottleneck. The OProfile didn't show anything unusual about the code so I almost ignored it but my code sense told me to optimize the call and see what happened. I changed the popen of c++filt to abi::__cxa_demangle. The runtime went from more than a minute to a little over a second. About a x60 speed up. Is there a way I could have configured OProfile to flag the popen call? As the profile data sits now OProfile thinks the bottle neck was the heap and std::string calls (which BTW once optimized dropped the runtime to less than a second, more than x2 speed up). Here is my OProfile configuration: $ sudo opcontrol --status Daemon not running Event 0: CPU_CLK_UNHALTED:90000:0:1:1 Separate options: library vmlinux file: none Image filter: /path/to/excutable Call-graph depth: 7 Buffer size: 65536 Is there another profiler for Linux that could have found the bottleneck? I suspect the issue is that OProfile only logs its samples to the currently running process. I'd like it to always log its samples to the process I'm profiling. So if the process is currently switched out (blocking on IO or a popen call) OProfile would just place its sample at the blocked call. If I can't fix this, OProfile will only be useful when the executable is pushing near 100% CPU. It can't help with executables that that have inefficient blocking calls.

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  • Zend Partial + Zend Action Helper causes an additional request to bootstrap?

    - by AndreLiem
    I've been profiling some zend framework code with webgrind to see where some bottle necks are and I'm noticing some very odd behavior. Using the zend partial for example, if I pass a variable value that comes from a zend action helper, it results in two requests being made. in sample.phtml echo $this->partial('partial/embed.phtml', array('url' => $this->url)); in indexcontroller.php $this->view->url = $this->_helper->Embed()->url; But if I don't pass the value from the helper to the partial, but still run the helper, it only makes one request in webgrind. e.g. $this->view->url = 'test'; $this->_helper->Embed()->url; Does anybody know why this could be happening? Am I potentially interpreting web grind incorrectly, or is it really calling the bootstrap twice when the an action helper value is tied to a partial? I'm starting to realize how inefficient some components of Zend are. Thanks

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  • How can you get the call tree with python profilers?

    - by Oliver
    I used to use a nice Apple profiler that is built into the System Monitor application. As long as your C++ code was compiled with debug information, you could sample your running application and it would print out an indented tree telling you what percent of the parent function's time was spent in this function (and the body vs. other function calls). For instance, if main called function_1 and function_2, function_2 calls function_3, and then main calls function_3: main (100%, 1% in function body): function_1 (9%, 9% in function body): function_2 (90%, 85% in function body): function_3 (100%, 100% in function body) function_3 (1%, 1% in function body) I would see this and think, "Something is taking a long time in the code in the body of function_2. If I want my program to be faster, that's where I should start." Does anyone know how I can most easily get this exact profiling output for a python program? I've seen people say to do this: import cProfile, pstats prof = cProfile.Profile() prof = prof.runctx("real_main(argv)", globals(), locals()) stats = pstats.Stats(prof) stats.sort_stats("time") # Or cumulative stats.print_stats(80) # 80 = how many to print but it's quite messy compared to that elegant call tree. Please let me know if you can easily do this, it would help quite a bit. Cheers!

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  • How do I display java.lang.* object allocations in Eclipse profiler?

    - by Martin Wickman
    I am profiling an application using the Eclipse profiler. I am particularly interested in number of allocated object instances of classes from java.lang (for instance java.lang.String or java.util.HashMap). I also want to know stuff like number of calls to String.equals() etc. I use the "Object Allocations" tab and I shows all classes in my application and a count. It also shows all int[], byte[], long[] etc, but there is no mention of any standard java classes. For instance, this silly code: public static void main(String[] args) { Object obj[] = new Object[1000]; for (int i = 0; i < 1000; i++) { obj[i] = new StringBuffer("foo" + i); } System.out.println (obj[30]); } Shows up in the Object Allocations tab as 7 byte[]s, 4 char[]s and 2 int[]s. It doesn't matter if I use 1000 or 1 iterations. It seems the profiler simply ignores everything that is in any of the java.* packages. The same applies to Execution Statistics as well. Any idea how to display instances of java.* in the Eclipse Profiler?

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  • How to reliably identify users across Internet?

    - by amn
    I know this is a big one. In fact, it may be used for some SO community wiki. Anyways, I am running a website that DOES NOT use explicit authentication of users. It's public as in open to everybody. However, due to the nature of the service, some users need to be locked out due to misbehavior. I am currently blocking IP addresses, but I am aware of the supposed fact that many people purposefully reset their DHCP client cache to have their ISP assign them new addresses. Is that a fact? I think it certainly is a lucrative possibility for some people who want to circumvent being denied access. So IPs turn out to be a suboptimal way of dealing with this. But there is nothing else, is it? MAC addresses don't survive on WAN (change from hop to hop?), and even if they did - these can also be spoofed, although I think less easily than IP renewal. Cookies and even Flash cookies are out of the question, because there are tons of "tutorials" how to wipe these, and those intent on wreaking havoc on Internet are well aware and well equipped against such rudimentary measures I would employ. Is there anything else to lean on? I was thinking heuristical profiling - collecting available data from client-side and forming some key with it, but have not gone as far as to implementing it - is it an option?

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  • Accidental Complexity in OpenSSL HMAC functions

    - by Hassan Syed
    SSL Documentation Analaysis This question is pertaining the usage of the HMAC routines in OpenSSL. Since Openssl documentation is a tad on the weak side in certain areas, profiling has revealed that using the: unsigned char *HMAC(const EVP_MD *evp_md, const void *key, int key_len, const unsigned char *d, int n, unsigned char *md, unsigned int *md_len); From here, shows 40% of my library runtime is devoted to creating and taking down **HMAC_CTX's behind the scenes. There are also two additional function to create and destroy a HMAC_CTX explicetly: HMAC_CTX_init() initialises a HMAC_CTX before first use. It must be called. HMAC_CTX_cleanup() erases the key and other data from the HMAC_CTX and releases any associated resources. It must be called when an HMAC_CTX is no longer required. These two function calls are prefixed with: The following functions may be used if the message is not completely stored in memory My data fits entirely in memory, so I choose the HMAC function -- the one whose signature is shown above. The context, as described by the man page, is made use of by using the following two functions: HMAC_Update() can be called repeatedly with chunks of the message to be authenticated (len bytes at data). HMAC_Final() places the message authentication code in md, which must have space for the hash function output. The Scope of the Application My application generates a authentic (HMAC, which is also used a nonce), CBC-BF encrypted protocol buffer string. The code will be interfaced with various web-servers and frameworks Windows / Linux as OS, nginx, Apache and IIS as webservers and Python / .NET and C++ web-server filters. The description above should clarify that the library needs to be thread safe, and potentially have resumeable processing state -- i.e., lightweight threads sharing a OS thread (which might leave thread local memory out of the picture). The Question How do I get rid of the 40% overhead on each invocation in a (1) thread-safe / (2) resume-able state way ? (2) is optional since I have all of the source-data present in one go, and can make sure a digest is created in place without relinquishing control of the thread mid-digest-creation. So, (1) can probably be done using thread local memory -- but how do I resuse the CTX's ? does the HMAC_final() call make the CTX reusable ?. (2) optional: in this case I would have to create a pool of CTX's. (3) how does the HMAC function do this ? does it create a CTX in the scope of the function call and destroy it ? Psuedocode and commentary will be useful.

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  • How to Configure Parameter Interceptors ?

    - by jyo
    Hi In my Struts2 applicaion I have a Jsp page with some feilds , like this <s:form action="customer.action" method="post" validate="false"> <s:textfield name="cust.fname" key="fname" size="20" /> <s:textfield name="cust.lname" key="lname" size="20" /> <s:textfield name="cust.title" key="title" size="20" /> <s:submit method="addCustomer" key="label.submit" align="center" /> </s:form> I have created a Bean Class For that public class Customer { private String fname; private String lname; private String title; public String getFname() { return fname; } public void setFname(String fname) { this.fname = fname; } public String getLname() { return lname; } public void setLname(String lname) { this.lname = lname; } public String getAddress() { return address; } public void setAddress(String address) { this.address = address; } } an Action Class public class CustomerAction extends ActionSupport { private Customer cust; public Customer getCust() { return cust; } public void setCust(Customer cust) { this.cust = cust; } public String addCustomer() { return "success"; } } When i hit the submit button i m getting exception like this com.opensymphony.xwork2.interceptor.ParametersInterceptor setParameters SEVERE: ParametersInterceptor - [setParameters]: Unexpected Exception catched: Error setting expression 'cust.address' with value '[Ljava.lang.String;@153113d' SEVERE: ParametersInterceptor - [setParameters]: Unexpected Exception catched: Error setting expression 'cust.fname' with value '[Ljava.lang.String;@18c8aea' 17 Jun, 2010 3:37:36 PM com.opensymphony.xwork2.interceptor.ParametersInterceptor setParameters SEVERE: ParametersInterceptor - [setParameters]: Unexpected Exception catched: Error setting expression 'cust.lname' with value '[Ljava.lang.String;@1f42731' 17 Jun, 2010 3:37:36 PM com.opensymphony.xwork2.interceptor.ParametersInterceptor setParameters WARNING: Caught an exception while evaluating expression 'cust.lname' against value stack Caught an Ognl exception while getting property cust - Class: ognl.OgnlRuntime File: OgnlRuntime.java Method: getMethodValue Line: 935 - ognl/OgnlRuntime.java:935:-1 at com.opensymphony.xwork2.util.CompoundRootAccessor.getProperty(CompoundRootAccessor.java:106) at ognl.OgnlRuntime.getProperty(OgnlRuntime.java:1643) at ognl.ASTProperty.getValueBody(ASTProperty.java:92) at ognl.SimpleNode.evaluateGetValueBody(SimpleNode.java:170) at ognl.SimpleNode.getValue(SimpleNode.java:210) at ognl.ASTChain.getValueBody(ASTChain.java:109) at ognl.SimpleNode.evaluateGetValueBody(SimpleNode.java:170) at ognl.SimpleNode.getValue(SimpleNode.java:210) at ognl.Ognl.getValue(Ognl.java:333) at com.opensymphony.xwork2.util.OgnlUtil.getValue(OgnlUtil.java:194) at com.opensymphony.xwork2.util.OgnlValueStack.findValue(OgnlValueStack.java:238) at org.apache.struts2.components.Property.start(Property.java:136) at org.apache.struts2.views.jsp.ComponentTagSupport.doStartTag(ComponentTagSupport.java:54) at org.apache.jsp.pages.SuccessCustomer_jsp._jspx_meth_s_005fproperty_005f1(SuccessCustomer_jsp.java:139) at org.apache.jsp.pages.SuccessCustomer_jsp._jspService(SuccessCustomer_jsp.java:72) at org.apache.jasper.runtime.HttpJspBase.service(HttpJspBase.java:70) at javax.servlet.http.HttpServlet.service(HttpServlet.java:717) at org.apache.jasper.servlet.JspServletWrapper.service(JspServletWrapper.java:377) at org.apache.jasper.servlet.JspServlet.serviceJspFile(JspServlet.java:313) at org.apache.jasper.servlet.JspServlet.service(JspServlet.java:260) at javax.servlet.http.HttpServlet.service(HttpServlet.java:717) at org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:290) at org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:206) at org.apache.catalina.core.ApplicationDispatcher.invoke(ApplicationDispatcher.java:646) at org.apache.catalina.core.ApplicationDispatcher.processRequest(ApplicationDispatcher.java:436) at org.apache.catalina.core.ApplicationDispatcher.doForward(ApplicationDispatcher.java:374) at org.apache.catalina.core.ApplicationDispatcher.forward(ApplicationDispatcher.java:302) at org.apache.struts2.dispatcher.ServletDispatcherResult.doExecute(ServletDispatcherResult.java:139) at org.apache.struts2.dispatcher.StrutsResultSupport.execute(StrutsResultSupport.java:178) at com.opensymphony.xwork2.DefaultActionInvocation.executeResult(DefaultActionInvocation.java:343) at com.opensymphony.xwork2.DefaultActionInvocation.invoke(DefaultActionInvocation.java:248) at com.opensymphony.xwork2.interceptor.DefaultWorkflowInterceptor.doIntercept(DefaultWorkflowInterceptor.java:213) at com.opensymphony.xwork2.interceptor.MethodFilterInterceptor.intercept(MethodFilterInterceptor.java:86) at com.opensymphony.xwork2.DefaultActionInvocation$2.doProfiling(DefaultActionInvocation.java:219) at com.opensymphony.xwork2.DefaultActionInvocation$2.doProfiling(DefaultActionInvocation.java:218) at com.opensymphony.xwork2.util.profiling.UtilTimerStack.profile(UtilTimerStack.java:455) at com.opensymphony.xwork2.DefaultActionInvocation.invoke(DefaultActionInvocation.java:216) at com.opensymphony.xwork2.validator.ValidationInterceptor.doIntercept(ValidationInterceptor.java:150) at org.apache.struts2.interceptor.validation.AnnotationValidationInterceptor.doIntercept(AnnotationValidationInterceptor.java:48) at com.opensymphony.xwork2.interceptor.MethodFilterInterceptor.intercept(MethodFilterInterceptor.java:86) at com.opensymphony.xwork2.DefaultActionInvocation$2.doProfiling(DefaultActionInvocation.java:219) at com.opensymphony.xwork2.DefaultActionInvocation$2.doProfiling(DefaultActionInvocation.java:218) at com.opensymphony.xwork2.util.profiling.UtilTimerStack.profile(UtilTimerStack.java:455) at com.opensymphony.xwork2.DefaultActionInvocation.invoke(DefaultActionInvocation.java:216) at com.opensymphony.xwork2.interceptor.ConversionErrorInterceptor.intercept(ConversionErrorInterceptor.java:123) at com.opensymphony.xwork2.DefaultActionInvocation$2.doProfiling(DefaultActionInvocation.java:219) at com.opensymphony.xwork2.DefaultActionInvocation$2.doProfiling(DefaultActionInvocation.java:218) at com.opensymphony.xwork2.util.profiling.UtilTimerStack.profile(UtilTimerStack.java:455) at com.opensymphony.xwork2.DefaultActionInvocation.invoke(DefaultActionInvocation.java:216) at com.opensymphony.xwork2.interceptor.ParametersInterceptor.intercept(ParametersInterceptor.java:161) at com.opensymphony.xwork2.DefaultActionInvocation$2.doProfiling(DefaultActionInvocation.java:219) at com.opensymphony.xwork2.DefaultActionInvocation$2.doProfiling(DefaultActionInvocation.java:218) at com.opensymphony.xwork2.util.profiling.UtilTimerStack.profile(UtilTimerStack.java:455) at com.opensymphony.xwork2.DefaultActionInvocation.invoke(DefaultActionInvocation.java:216) at com.opensymphony.xwork2.interceptor.StaticParametersInterceptor.intercept(StaticParametersInterceptor.java:105) at com.opensymphony.xwork2.DefaultActionInvocation$2.doProfiling(DefaultActionInvocation.java:219) at com.opensymphony.xwork2.DefaultActionInvocation$2.doProfiling(DefaultActionInvocation.java:218) at com.opensymphony.xwork2.util.profiling.UtilTimerStack.profile(UtilTimerStack.java:455) at com.opensymphony.xwork2.DefaultActionInvocation.invoke(DefaultActionInvocation.java:216) at org.apache.struts2.interceptor.CheckboxInterceptor.intercept(CheckboxInterceptor.java:83) at com.opensymphony.xwork2.DefaultActionInvocation$2.doProfiling(DefaultActionInvocation.java:219) at com.opensymphony.xwork2.DefaultActionInvocation$2.doProfiling(DefaultActionInvocation.java:218) at com.opensymphony.xwork2.util.profiling.UtilTimerStack.profile(UtilTimerStack.java:455) at com.opensymphony.xwork2.DefaultActionInvocation.invoke(DefaultActionInvocation.java:216) at org.apache.struts2.interceptor.FileUploadInterceptor.intercept(FileUploadInterceptor.java:207) at com.opensymphony.xwork2.DefaultActionInvocation$2.doProfiling(DefaultActionInvocation.java:219) at com.opensymphony.xwork2.DefaultActionInvocation$2.doProfiling(DefaultActionInvocation.java:218) at com.opensymphony.xwork2.util.profiling.UtilTimerStack.profile(UtilTimerStack.java:455) at com.opensymphony.xwork2.DefaultActionInvocation.invoke(DefaultActionInvocation.java:216) at com.opensymphony.xwork2.interceptor.ModelDrivenInterceptor.intercept(ModelDrivenInterceptor.java:74) at com.opensymphony.xwork2.DefaultActionInvocation$2.doProfiling(DefaultActionInvocation.java:219) at com.opensymphony.xwork2.DefaultActionInvocation$2.doProfiling(DefaultActionInvocation.java:218) at com.opensymphony.xwork2.util.profiling.UtilTimerStack.profile(UtilTimerStack.java:455) at com.opensymphony.xwork2.DefaultActionInvocation.invoke(DefaultActionInvocation.java:216) at com.opensymphony.xwork2.interceptor.ScopedModelDrivenInterceptor.intercept(ScopedModelDrivenInterceptor.java:127) at com.opensymphony.xwork2.DefaultActionInvocation$2.doProfiling(DefaultActionInvocation.java:219) at com.opensymphony.xwork2.DefaultActionInvocation$2.doProfiling(DefaultActionInvocation.java:218) at com.opensymphony.xwork2.util.profiling.UtilTimerStack.profile(UtilTimerStack.java:455) at com.opensymphony.xwork2.DefaultActionInvocation.invoke(DefaultActionInvocation.java:216) at org.apache.struts2.interceptor.ProfilingActivationInterceptor.intercept(ProfilingActivationInterceptor.java:107) at com.opensymphony.xwork2.DefaultActionInvocation$2.doProfiling(DefaultActionInvocation.java:219) at com.opensymphony.xwork2.DefaultActionInvocation$2.doProfiling(DefaultActionInvocation.java:218) at com.opensymphony.xwork2.util.profiling.UtilTimerStack.profile(UtilTimerStack.java:455) at com.opensymphony.xwork2.DefaultActionInvocation.invoke(DefaultActionInvocation.java:216) at org.apache.struts2.interceptor.debugging.DebuggingInterceptor.intercept(DebuggingInterceptor.java:206) at com.opensymphony.xwork2.DefaultActionInvocation$2.doProfiling(DefaultActionInvocation.java:219) at com.opensymphony.xwork2.DefaultActionInvocation$2.doProfiling(DefaultActionInvocation.java:218) at com.opensymphony.xwork2.util.profiling.UtilTimerStack.profile(UtilTimerStack.java:455) at com.opensymphony.xwork2.DefaultActionInvocation.invoke(DefaultActionInvocation.java:216) at com.opensymphony.xwork2.interceptor.ChainingInterceptor.intercept(ChainingInterceptor.java:115) at com.opensymphony.xwork2.DefaultActionInvocation$2.doProfiling(DefaultActionInvocation.java:219) at com.opensymphony.xwork2.DefaultActionInvocation$2.doProfiling(DefaultActionInvocation.java:218) at com.opensymphony.xwork2.util.profiling.UtilTimerStack.profile(UtilTimerStack.java:455) at com.opensymphony.xwork2.DefaultActionInvocation.invoke(DefaultActionInvocation.java:216) at com.opensymphony.xwork2.interceptor.I18nInterceptor.intercept(I18nInterceptor.java:143) at com.opensymphony.xwork2.DefaultActionInvocation$2.doProfiling(DefaultActionInvocation.java:219) at com.opensymphony.xwork2.DefaultActionInvocation$2.doProfiling(DefaultActionInvocation.java:218) at com.opensymphony.xwork2.util.profiling.UtilTimerStack.profile(UtilTimerStack.java:455) at com.opensymphony.xwork2.DefaultActionInvocation.invoke(DefaultActionInvocation.java:216) at com.opensymphony.xwork2.interceptor.PrepareInterceptor.intercept(PrepareInterceptor.java:115) at com.opensymphony.xwork2.DefaultActionInvocation$2.doProfiling(DefaultActionInvocation.java:219) at com.opensymphony.xwork2.DefaultActionInvocation$2.doProfiling(DefaultActionInvocation.java:218) at com.opensymphony.xwork2.util.profiling.UtilTimerStack.profile(UtilTimerStack.java:455) at com.opensymphony.xwork2.DefaultActionInvocation.invoke(DefaultActionInvocation.java:216) at org.apache.struts2.interceptor.ServletConfigInterceptor.intercept(ServletConfigInterceptor.java:170) at com.opensymphony.xwork2.DefaultActionInvocation$2.doProfiling(DefaultActionInvocation.java:219) at com.opensymphony.xwork2.DefaultActionInvocation$2.doProfiling(DefaultActionInvocation.java:218) at com.opensymphony.xwork2.util.profiling.UtilTimerStack.profile(UtilTimerStack.java:455) at com.opensymphony.xwork2.DefaultActionInvocation.invoke(DefaultActionInvocation.java:216) at com.opensymphony.xwork2.interceptor.AliasInterceptor.intercept(AliasInterceptor.java:123) at com.opensymphony.xwork2.DefaultActionInvocation$2.doProfiling(DefaultActionInvocation.java:219) at com.opensymphony.xwork2.DefaultActionInvocation$2.doProfiling(DefaultActionInvocation.java:218) at com.opensymphony.xwork2.util.profiling.UtilTimerStack.profile(UtilTimerStack.java:455) at com.opensymphony.xwork2.DefaultActionInvocation.invoke(DefaultActionInvocation.java:216) at com.opensymphony.xwork2.interceptor.ExceptionMappingInterceptor.intercept(ExceptionMappingInterceptor.java:176) at com.opensymphony.xwork2.DefaultActionInvocation$2.doProfiling(DefaultActionInvocation.java:219) at com.opensymphony.xwork2.DefaultActionInvocation$2.doProfiling(DefaultActionInvocation.java:218) at com.opensymphony.xwork2.util.profiling.UtilTimerStack.profile(UtilTimerStack.java:455) at com.opensymphony.xwork2.DefaultActionInvocation.invoke(DefaultActionInvocation.java:216) at com.opensymphony.xwork2.interceptor.ParametersInterceptor.intercept(ParametersInterceptor.java:161) at com.opensymphony.xwork2.DefaultActionInvocation$2.doProfiling(DefaultActionInvocation.java:219) at com.opensymphony.xwork2.DefaultActionInvocation$2.doProfiling(DefaultActionInvocation.java:218) at com.opensymphony.xwork2.util.profiling.UtilTimerStack.profile(UtilTimerStack.java:455) at com.opensymphony.xwork2.DefaultActionInvocation.invoke(DefaultActionInvocation.java:216) at org.apache.struts2.interceptor.CheckboxInterceptor.intercept(CheckboxInterceptor.java:83) at com.opensymphony.xwork2.DefaultActionInvocation$2.doProfiling(DefaultActionInvocation.java:219) at com.opensymphony.xwork2.DefaultActionInvocation$2.doProfiling(DefaultActionInvocation.java:218) at com.opensymphony.xwork2.util.profiling.UtilTimerStack.profile(UtilTimerStack.java:455) at com.opensymphony.xwork2.DefaultActionInvocation.invoke(DefaultActionInvocation.java:216) at org.apache.struts2.impl.StrutsActionProxy.execute(StrutsActionProxy.java:50) at org.apache.struts2.dispatcher.Dispatcher.serviceAction(Dispatcher.java:507) at org.apache.struts2.dispatcher.FilterDispatcher.doFilter(FilterDispatcher.java:421) at org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:235) at org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:206) at org.apache.catalina.core.StandardWrapperValve.invoke(StandardWrapperValve.java:233) at org.apache.catalina.core.StandardContextValve.invoke(StandardContextValve.java:191) at org.apache.catalina.core.StandardHostValve.invoke(StandardHostValve.java:127) at org.apache.catalina.valves.ErrorReportValve.invoke(ErrorReportValve.java:102) at org.apache.catalina.core.StandardEngineValve.invoke(StandardEngineValve.java:109) at org.apache.catalina.connector.CoyoteAdapter.service(CoyoteAdapter.java:298) at org.apache.coyote.http11.Http11Processor.process(Http11Processor.java:852) at org.apache.coyote.http11.Http11Protocol$Http11ConnectionHandler.process(Http11Protocol.java:588) at org.apache.tomcat.util.net.JIoEndpoint$Worker.run(JIoEndpoint.java:489) at java.lang.Thread.run(Thread.java:636) Caused by: ognl.OgnlException: cust [java.lang.NullPointerException] at ognl.OgnlRuntime.getMethodValue(OgnlRuntime.java:935) at ognl.ObjectPropertyAccessor.getPossibleProperty(ObjectPropertyAccessor.java:53) at ognl.ObjectPropertyAccessor.getProperty(ObjectPropertyAccessor.java:121) at com.opensymphony.xwork2.util.OgnlValueStack$ObjectAccessor.getProperty(OgnlValueStack.java:58) at ognl.OgnlRuntime.getProperty(OgnlRuntime.java:1643) at com.opensymphony.xwork2.util.CompoundRootAccessor.getProperty(CompoundRootAccessor.java:101) ... 143 more 17 Jun, 2010 3:48:55 PM com.opensymphony.xwork2.util.OgnlValueStack logLookupFailure WARNING: NOTE: Previous warning message was issued due to devMode set to true. How do i resolve this ? Thnks

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