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  • How to store bitmaps in memory?

    - by Geotarget
    I'm working with general purpose image rendering, and high-performance image processing, and so I need to know how to store bitmaps in-memory. (24bpp/32bpp, compressed/raw, etc) I'm not working with 3D graphics or DirectX / OpenGL rendering and so I don't need to use graphics card compatible bitmap formats. My questions: What is the "usual" or "normal" way to store bitmaps in memory? (in C++ engines/projects?) How to store bitmaps for high-performance algorithms, such that read/write times are the fastest? (fixed array? with/without padding? 24-bpp or 32-bpp?) How to store bitmaps for applications handling a lot of bitmap data, to minimize memory usage? (JPEG? or a faster [de]compression algorithm?) Some possible methods: Use a fixed packed 24-bpp or 32-bpp int[] array and simply access pixels using pointer access, all pixels are allocated in one continuous memory chunk (could be 1-10 MB) Use a form of "sparse" data storage so each line of the bitmap is allocated separately, reusing more memory and requiring smaller contiguous memory segments Store bitmaps in its compressed form (PNG, JPG, GIF, etc) and unpack only when its needed, reducing the amount of memory used. Delete the unpacked data if its not used for 10 secs.

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  • Recommended formats to store bitmaps in memory?

    - by Geotarget
    I'm working with general purpose image rendering, and high-performance image processing, and so I need to know how to store bitmaps in-memory. (24bpp/32bpp, compressed/raw, etc) I'm not working with 3D graphics or DirectX / OpenGL rendering and so I don't need to use graphics card compatible bitmap formats. My questions: What is the "usual" or "normal" way to store bitmaps in memory? (in C++ engines/projects?) How to store bitmaps for high-performance algorithms, such that read/write times are the fastest? (fixed array? with/without padding? 24-bpp or 32-bpp?) How to store bitmaps for applications handling a lot of bitmap data, to minimize memory usage? (JPEG? or a faster [de]compression algorithm?) Some possible methods: Use a fixed packed 24-bpp or 32-bpp int[] array and simply access pixels using pointer access, all pixels are allocated in one continuous memory chunk (could be 1-10 MB) Use a form of "sparse" data storage so each line of the bitmap is allocated separately, reusing more memory and requiring smaller contiguous memory segments Store bitmaps in its compressed form (PNG, JPG, GIF, etc) and unpack only when its needed, reducing the amount of memory used. Delete the unpacked data if its not used for 10 secs.

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  • Help Finding Memory Leak

    - by Neal L
    Hi all, I am writing an iPad app that downloads a rather large .csv file and parses the file into objects stored in Core Data. The program keeps crashing, and I've run it along with the Allocations performance tool and can see that it's eating up memory. Nothing is alloc'ed or init'ed in the code, so why am I gobbling up memory? Code at: http://pastie.org/955960 Thanks! -Neal

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  • Finding source of leaking active memory on Mac OS Lion

    - by Tim Kemp
    My activity monitor shows 6GB of active RAM usage: Yet my Real Memory column shows nothing like that amount: (There's another screenful below that, all smaller.) Backing that up, the output from this command (which sums up memory usage of every running process): ps -axm -o "rss,comm" | awk 'BEGIN { s=0;}; {s=s+$1;}; END { printf("%.2f GB\n", (s/1024.0/1024));}' Gives 4.09GB, so it looks to me like 2GB has leaked. I see much wider ranges sometimes, perhaps 2 or 3GB from the ps command and as much as 7 or 8GB of Active usage reported by Activity Monitor. I've tried quitting everything and logging my user out and back in again, but the Active usage is still far higher than the RAM reported by ps and by each process to Activity Monitor. This 2GB of active RAM is basically unrecoverable unless I reboot. Is there any way to a) detect what's leaking and b) get it back? Thanks

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  • c# : simulate memory leaks..

    - by dotnet-practitioner
    Hi, I would like to write the following code in c#. a) small console application that simulates memory leak. b) small console application that would invoke the above application and release it right away simulating managing memory leak problem.. In other words the (b) application would continuously call and release application (a) to simulate how the "rebellious" memory leak application is being contained with out addressing the root cause which is application (a). Some sample code for application (a) and (b) would be very helpful. Thanks

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  • Memory limiting solutions for greedy applications that can crash OS?

    - by Hooked
    I use my computer for scientific programming. It has a healthy 8GB of RAM and 12GB of swap space. Often, as my problems have gotten larger, I exceed all of the available RAM. Rather than crashing (which would be preferred), it seems Ubuntu starts loading everything into swap, including Unity and any open terminals. If I don't catch a run-away program in time, there is nothing I can do but wait - it takes 4-5 minutes to switch to a command prompt eg. Ctrl-Alt-F2 where I can kill the offending process. Since my own stupidity is out of scope of this forum, how can I prevent Ubuntu from crashing via thrashing when I use up all of the available memory from a single offending program? At-home experiment*! Open a terminal, launch python and if you have numpy installed try this: >>> import numpy >>> [numpy.zeros((10**4, 10**4)) for _ in xrange(50)] * Warning: may have adverse effects, monitor the process via iotop or top to kill it in time. If not, I'll see you after your reboot.

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  • Monitor and Control Memory Usage in Google Chrome

    - by Asian Angel
    Do you want to know just how much memory Google Chrome and any installed extensions are using at a given moment? With just a few clicks you can see just what is going on under the hood of your browser. How Much Memory are the Extensions Using? Here is our test browser with a new tab and the Extensions Page open, five enabled extensions, and one disabled at the moment. You can access Chrome’s Task Manager using the Page Menu, going to Developer, and selecting Task manager… Or by right clicking on the Tab Bar and selecting Task manager. There is also a keyboard shortcut (Shift + Esc) available for the “keyboard ninjas”. Sitting idle as shown above here are the stats for our test browser. All of the extensions are sitting there eating memory even though some of them are not available/active for use on our new tab and Extensions Page. Not so good… If the default layout is not to your liking then you can easily modify the information that is available by right clicking and adding/removing extra columns as desired. For our example we added Shared Memory & Private Memory. Using the about:memory Page to View Memory Usage Want even more detail? Type about:memory into the Address Bar and press Enter. Note: You can also access this page by clicking on the Stats for nerds Link in the lower left corner of the Task Manager Window. Focusing on the four distinct areas you can see the exact version of Chrome that is currently installed on your system… View the Memory & Virtual Memory statistics for Chrome… Note: If you have other browsers running at the same time you can view statistics for them here too. See a list of the Processes currently running… And the Memory & Virtual Memory statistics for those processes. The Difference with the Extensions Disabled Just for fun we decided to disable all of the extension in our test browser… The Task Manager Window is looking rather empty now but the memory consumption has definitely seen an improvement. Comparing Memory Usage for Two Extensions with Similar Functions For our next step we decided to compare the memory usage for two extensions with similar functionality. This can be helpful if you are wanting to keep memory consumption trimmed down as much as possible when deciding between similar extensions. First up was Speed Dial”(see our review here). The stats for Speed Dial…quite a change from what was shown above (~3,000 – 6,000 K). Next up was Incredible StartPage (see our review here). Surprisingly both were nearly identical in the amount of memory being used. Purging Memory Perhaps you like the idea of being able to “purge” some of that excess memory consumption. With a simple command switch modification to Chrome’s shortcut(s) you can add a Purge Memory Button to the Task Manager Window as shown below.  Notice the amount of memory being consumed at the moment… Note: The tutorial for adding the command switch can be found here. One quick click and there is a noticeable drop in memory consumption. Conclusion We hope that our examples here will prove useful to you in managing the memory consumption in your own Google Chrome installation. If you have a computer with limited resources every little bit definitely helps out. Similar Articles Productive Geek Tips Stupid Geek Tricks: Compare Your Browser’s Memory Usage with Google ChromeMonitor CPU, Memory, and Disk IO In Windows 7 with Taskbar MetersFix for Firefox memory leak on WindowsHow to Purge Memory in Google ChromeHow to Make Google Chrome Your Default Browser TouchFreeze Alternative in AutoHotkey The Icy Undertow Desktop Windows Home Server – Backup to LAN The Clear & Clean Desktop Use This Bookmarklet to Easily Get Albums Use AutoHotkey to Assign a Hotkey to a Specific Window Latest Software Reviews Tinyhacker Random Tips Acronis Online Backup DVDFab 6 Revo Uninstaller Pro Registry Mechanic 9 for Windows iFixit Offers Gadget Repair Manuals Online Vista style sidebar for Windows 7 Create Nice Charts With These Web Based Tools Track Daily Goals With 42Goals Video Toolbox is a Superb Online Video Editor Fun with 47 charts and graphs

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  • Ubuntu: Memory Leak

    - by Keener
    I'm having trouble finding from where this memory leak is occurring. I'm running Ubuntu 8.04 LTS on a Dell XPS M1530. I have 3GB of ram and I'm finding after about an hour or so of use top shows me 2GBs+ used. The strange thing is when I add up the memory percentages by PID either from top or ps aux I find that I should only be using about 20-25% of my available ram. What brought this to my attention was I've begun running vmware server again. Now, obviously the ram usage spikes when I load a virtual machine, but the memory VMware is using does not account for the memory usage I'm seeing via top or free. Stopping vmware server releases the memory which was allocated to it, but I'm still unable to find where this RAM is being used. After a complete reboot, of course, the memory is fine, but very quickly it climbs to 60-80% usage with the processes only appearing to account for a third of that. Any ideas where I should look for more information on what this could be?

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  • Can this code cause a memory leak (Arduino)

    - by tbraun89
    I have a arduino project and I created this struct: struct Project { boolean status; String name; struct Project* nextProject; }; In my application I parse some data and create Project objects. To have them in a list there is a pointer to the nextProject in each Project object expect the last. This is the code where I add new projects: void RssParser::addProject(boolean tempProjectStatus, String tempData) { if (!startProject) { startProject = true; firstProject.status = tempProjectStatus; firstProject.name = tempData; firstProject.nextProject = NULL; ptrToLastProject = &firstProject; } else { ptrToLastProject->nextProject = new Project(); ptrToLastProject->nextProject->status = tempProjectStatus; ptrToLastProject->nextProject->name = tempData; ptrToLastProject->nextProject->nextProject = NULL; ptrToLastProject = ptrToLastProject->nextProject; } } firstProject is an private instance variable and defined in the header file like this: Project firstProject; So if there actually no project was added, I use firstProject, to add a new one, if firstProject is set I use the nextProject pointer. Also I have a reset() method that deletes the pointer to the projects: void RssParser::reset() { delete ptrToLastProject; delete firstProject.nextProject; startProject = false; } After each parsing run I call reset() the problem is that the memory used is not released. If I comment out the addProject method there are no issues with my memory. Someone can tell me what could cause the memory leak?

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  • Android - Memory leak when dynamically building UI with image resource backgrounds

    - by Rich
    I have an Activity that I swear is leaking memory. The app I'm working on does a lot with images, so I've had to be pretty stingy with memory when working directly with Bitmaps. I added an Activity, and now if you use this new Activity it basically puts me over the edge with mem usage and I end up throwing the "Bitmap exceeds VM budget" exception. If you never launch this Activity, everything is smooth as it was previously. I started reading about memory leaks, and I think that I have a similar situation to what is described in the article in the Android docs. I'm dynamically creating a bunch of image views and adding a BackgroundDrawable from the resources and adding an OnClickListener as well. I imagine I have to do some cleanup when the Activity hits onPause in its life cycle, but I'd like to know specifically what is the correct way. Here is the code that should demonstrate the objects I'm working with... LinearLayout templateContainer; . . . ImageView imgTemplatePreview = (ImageView) item.findViewById(R.id.imgTemplatePreview); . . . imgTemplatePreview.setBackgroundDrawable(getResources().getDrawable(previewId)); imgTemplatePreview.setOnClickListener(imgClick); templateContainer.addView(item);

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  • Clarification of the difference between PCI memory addressing and I/O addressing?

    - by KevinM
    Could someone please clarify the difference between memory and I/O addresses on the PCI/PCIe bus? I understand that I/O addresses are 32-bit, limited to the range 0 to 4GB, and do not map onto system memory (RAM), and that memory addresses are either 32-bit or 64-bit. I get the impression that memory addressing must map onto available RAM, is this true? That if a PCI device wishes to transfer data to a memory address, that address must exist in actual system RAM (and is allocated during PCI configuration) and not virtual memory. So if a PCI device only needs to transfer a small amount of data at a time, where there is no advantage to putting it into RAM or using DMA, then I/O addressing is fine (e.g. a parallel port implemented on a PCI card). And why do I keep reading that PCI/PCIe I/O addressing is being deprecated in favour of memory addressing? Thanks!

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  • UIImageWriteToSavedPhotosAlbum showing memory leak with iPhone connected to Instruments

    - by user168739
    Hi, I'm using version 3.0.1 of the SDK. With the iPhone connected to Instruments I'm getting a memory leak when I call UIImageWriteToSavedPhotosAlbum. Below is my code: NSString *gnTmpStr = [NSString stringWithFormat:@"%d", count]; UIImage *ganTmpImage = [UIImage imageWithContentsOfFile:[[NSBundle mainBundle] pathForResource:gnTmpStr ofType:@"jpg"]]; // Request to save the image to camera roll UIImageWriteToSavedPhotosAlbum(ganTmpImage, self, @selector(imageSavedToPhotosAlbum:didFinishSavingWithError:contextInfo:), nil); and the selector method - (void)imageSavedToPhotosAlbum:(UIImage *)image didFinishSavingWithError:(NSError *)error contextInfo:(void *)contextInfo { NSString *message; NSString *title; if (!error) { title = @"Wallpaper"; message = @"Wallpaper Saved"; } else { title = @"Error"; message = [error description]; } UIAlertView *alert = [[UIAlertView alloc] initWithTitle:title message:message delegate:self cancelButtonTitle:@"OK" otherButtonTitles:nil]; [alert show]; [alert release]; } Am I forgetting to release something once the image has been saved and the selector method imageSavedToPhotosAlbum is called? Or is there a possible known issue with UIImageWriteToSavedPhotosAlbum? Here is the stack trace from Instruments: Leaked Object: GeneralBlock-3584 size: 3.50 KB 30 MyApp start 29 MyApp main /Users/user/Desktop/MyApp/main.m:14 28 UIKit UIApplicationMain 27 UIKit -[UIApplication _run] 26 GraphicsServices GSEventRunModal 25 CoreFoundation CFRunLoopRunInMode 24 CoreFoundation CFRunLoopRunSpecific 23 GraphicsServices PurpleEventCallback 22 UIKit _UIApplicationHandleEvent 21 UIKit -[UIApplication sendEvent:] 20 UIKit -[UIWindow sendEvent:] 19 UIKit -[UIWindow _sendTouchesForEvent:] 18 UIKit -[UIControl touchesEnded:withEvent:] 17 UIKit -[UIControl(Internal) _sendActionsForEvents:withEvent:] 16 UIKit -[UIControl sendAction:to:forEvent:] 15 UIKit -[UIApplication sendAction:toTarget:fromSender:forEvent:] 14 UIKit -[UIApplication sendAction:to:from:forEvent:] 13 CoreFoundation -[NSObject performSelector:withObject:withObject:] 12 UIKit -[UIBarButtonItem(Internal) _sendAction:withEvent:] 11 UIKit -[UIApplication sendAction:to:from:forEvent:] 10 CoreFoundation -[NSObject performSelector:withObject:withObject:] 9 MyApp -[FlipsideViewController svPhoto] /Users/user/Desktop/MyApp/Classes/FlipsideViewController.m:218 8 0x317fa528 7 0x317e3628 6 0x317e3730 5 0x317edda4 4 0x3180fc74 3 Foundation +[NSThread detachNewThreadSelector:toTarget:withObject:] 2 Foundation -[NSThread start] 1 libSystem.B.dylib pthread_create 0 libSystem.B.dylib malloc I did a test with a new project and only added this code below in the viewDidLoad: NSString *gnTmpStr = [NSString stringWithFormat:@"DefaultTest"]; UIImage *ganTmpImage = [UIImage imageWithContentsOfFile:[[NSBundle mainBundle] pathForResource:gnTmpStr ofType:@"png"]]; // Request to save the image to camera roll UIImageWriteToSavedPhotosAlbum(ganTmpImage, nil, nil, nil); The same leak shows up right after the app loads Thank you for the help. Bryan

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  • Memory Leak from Foundation & CFNetwork Library

    - by Lakshmie
    I am using instruments to resolve memory leak issues for an app in iPhone. I just wanted to know if I have to resolve the leaks coming from Foundation and CFNetwork Libraries. Specifically, the leaks are from: 1. NSCFString 2. NSConcreteData 3. General Block-3584 Since they do not directly point to the code that I have written, how should I resolve them, if I have to? Thanks.

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  • Large virtual memory size of ElasticSearch JVM

    - by wfaulk
    I am running a JVM to support ElasticSearch. I am still working on sizing and tuning, so I left the JVM's max heap size at ElasticSearch's default of 1GB. After putting data in the database, I find that the JVM's process is showing 50GB in SIZE in top output. It appears that this is actually causing performance problems on the system; other processes are having trouble allocating memory. In asking the ElasticSearch community, they suggested that it's "just" filesystem caching. In my experience, filesystem caching doesn't show up as memory used by a particular process. Of course, they may have been talking about something other than the OS's filesystem cache, maybe something that the JVM or ElasticSearch itself is doing on top of the OS. But they also said that it would be released if needed, and that didn't seem to be happening. So can anyone help me figure out how to tune the JVM, or maybe ElasticSearch itself, to not use so much RAM. System is Solaris 10 x86 with 72GB RAM. JVM is "Java(TM) SE Runtime Environment (build 1.7.0_45-b18)".

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  • How does landscape calculate memory usage?

    - by David Planella
    I'm trying to debug an OOM situation in an Ubuntu 12.04 server, and looking at the Memory graphs in Landscape, I noticed that there wasn't any serious memory usage spike. Then I looked at the output of the free command and I wasn't quite sure how both memory usage results relate to each other. Here's landscape's output on the server: $ landscape-sysinfo System load: 0.0 Processes: 93 Usage of /: 5.6% of 19.48GB Users logged in: 1 Memory usage: 26% IP address for eth0: - Swap usage: 2% Then I ran the free command and I get: $ free -m total used free shared buffers cached Mem: 486 381 105 0 4 165 -/+ buffers/cache: 212 274 Swap: 255 7 248 I can understand the 2% swap usage, but where does the 26% memory usage come from?

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  • How does landscape calculate free memory?

    - by David Planella
    I'm trying to debug an OOM situation in an Ubuntu 12.04 server, and looking at the Memory graphs in Landscape, I noticed that there wasn't any serious memory usage spike spike. Then I looked at the output of the free command and I wasn't quite sure how both memory usage results relate to each other. Here's landscape's output on the server: $ landscape-sysinfo System load: 0.0 Processes: 93 Usage of /: 5.6% of 19.48GB Users logged in: 1 Memory usage: 26% IP address for eth0: - Swap usage: 2% Then I run the free command and I get: $ free -m total used free shared buffers cached Mem: 486 381 105 0 4 165 -/+ buffers/cache: 212 274 Swap: 255 7 248 I can understand the 2% swap usage, but where does the 26% memory usage come from?

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  • Manual memory allocation and purity

    - by Eonil
    Language like Haskell have concept of purity. In pure function, I can't mutate any state globally. Anyway Haskell fully abstracts memory management, so memory allocation is not a problem here. But if languages can handle memory directly like C++, it's very ambiguous to me. In these languages, memory allocation makes visible mutation. But if I treat making new object as impure action, actually, almost nothing can be pure. So purity concept becomes almost useless. How should I handle purity in languages have memory as visible global object?

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  • CoreData leak when reading a property

    - by Kamchatka
    Hello, I have the following code in a loop iterating over the different document objects: NSAutoreleasePool* pool = [[NSAutoreleasePool alloc] init]; [document primitiveValueForKey:@"data"]; [data writeToFile:filename atomically:NO]; [document.managedObjectContext refreshObject:document mergeChanges:NO]; [pool release]; The "data" property is a large blob (a 1MB image). And as I monitor the memory with the Allocation Instrument memory usage is increasing. I cannot find where the leak is coming from and how to remove it. Thanks!

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  • Another memory leak question

    - by James
    Hello My application keeps running for 4 to 6 hours, During this time there is no contineous increase in memory or anything similar. Then after 4 to 6 hours i start getting EOutofMemory Exceptions. Even still at that time there is only 900MB out of 3GB RAM is used as per task manager. And application itself is not using more then 200MB . Then why i am getting EOoutofMEmory error ? Does it mean that memory leak is not necessarily visible in task manager ? Regagards

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  • Does Firefox still have memory leaks?

    - by tom
    I've had my Firefox 3.6.3 browser consume up to 1.5GB of RAM after a few days of usage without closing it. This is even true when, after a few days of opening/closing tabs, there's only 1 tab open. Does Firefox still have memory leaks?

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  • obiee memory usage

    - by user554629
    Heap memory is a frequent customer topic. Here's the quick refresher, oriented towards AIX, but the principles apply to other unix implementations. 1. 32-bit processes have a maximum addressability of 4GB; usable application heap size of 2-3 GB.  On AIX it is controlled by an environment variable: export LDR_CNTRL=....=MAXDATA=0x080000000   # 2GB ( The leading zero is deliberate, not required )   1a. It is  possible to get 3.25GB  heap size for a 32-bit process using @DSA (Discontiguous Segment Allocation)     export LDR_CNTRL=MAXDATA=0xd0000000@DSA  # 3.25 GB 32-bit only        One side-effect of using AIX segments "c" and "d" is that shared libraries will be loaded privately, and not shared.        If you need the additional heap space, this is worth the trade-off.  This option is frequently used for 32-bit java.   1b. 64-bit processes have no need for the @DSA option. 2. 64-bit processes can double the 32-bit heap size to 4GB using: export LDR_CNTRL=....=MAXDATA=0x100000000  # 1 with 8-zeros    2a. But this setting would place the same memory limitations on obiee as a 32-bit process    2b. The major benefit of 64-bit is to break the binds of 32-bit addressing.  At a minimum, use 8GB export LDR_CNTRL=....=MAXDATA=0x200000000  # 2 with 8-zeros    2c.  Many large customers are providing extra safety to their servers by using 16GB: export LDR_CNTRL=....=MAXDATA=0x400000000  # 4 with 8-zeros There is no performance penalty for providing virtual memory allocations larger than required by the application.  - If the server only uses 2GB of space in 64-bit ... specifying 16GB just provides an upper bound cushion.    When an unexpected user query causes a sudden memory surge, the extra memory keeps the server running. 3.  The next benefit to 64-bit is that you can provide huge thread stack sizes for      strange queries that might otherwise crash the server.      nqsserver uses fast recursive algorithms to traverse complicated control structures.    This means lots of thread space to hold the stack frames.    3a. Stack frames mostly contain register values;  64-bit registers are twice as large as 32-bit          At a minimum you should  quadruple the size of the server stack threads in NQSConfig.INI          when migrating from 32- to 64-bit, to prevent a rogue query from crashing the server.           Allocate more than is normally necessary for safety.    3b. There is no penalty for allocating more stack size than you need ...           it is just virtual memory;   no real resources  are consumed until the extra space is needed.    3c. Increasing thread stack sizes may require the process heap size (MAXDATA) to be increased.          Heap space is used for dynamic memory requests, and for thread stacks.          No performance penalty to run with large heap and thread stack sizes.           In a 32-bit world, this safety would require careful planning to avoid exceeding 2GM usable storage.     3d. Increasing the number of threads also may require additional heap storage.          Most thread stack frames on obiee are allocated when the server is started,          and the real memory usage increases as threads run work. Does 2.8GB sound like a lot of memory for an AIX application server? - I guess it is what you are accustomed to seeing from "grandpa's applications". - One of the primary design goals of obiee is to trade memory for services ( db, query caches, etc) - 2.8GB is still well under the 4GB heap size allocated with MAXDATA=0x100000000 - 2.8GB process size is also possible even on 32-bit Windows applications - It is not unusual to receive a sudden request for 30MB of contiguous storage on obiee.- This is not a memory leak;  eventually the nqsserver storage will stabilize, but it may take days to do so. vmstat is the tool of choice to observe memory usage.  On AIX vmstat will show  something that may be  startling to some people ... that available free memory ( the 2nd column ) is always  trending toward zero ... no available free memory.  Some customers have concluded that "nearly zero memory free" means it is time to upgrade the server with more real memory.   After the upgrade, the server again shows very little free memory available. Should you be concerned about this?   Many customers are !!  Here is what is happening: - AIX filesystems are built on a paging model.   If you read/write a  filesystem block it is paged into memory ( no read/write system calls ) - This filesystem "page" has its own "backing store" on disk, the original filesystem block.   When the system needs the real memory page holding the file block, there is no need to "page out".    The page can be stolen immediately, because the original is still on disk in the filesystem. - The filesystem  pages tend to collect ... every filesystem block that was ever seen since    system boot is available in memory.  If another application needs the file block, it is retrieved with no physical I/O. What happens if the system does need the memory ... to satisfy a 30MB heap request by nqsserver, for example? - Since the filesystem blocks have their own backing store ( not on a paging device )   the kernel can just steal any filesystem block ... on a least-recently-used basis   to satisfy a new real memory request for "computation pages". No cause for alarm.   vmstat is accurately displaying whether all filesystem blocks have been touched, and now reside in memory.   Back to nqsserver:  when should you be worried about its memory footprint? Answer:  Almost never.   Stop monitoring it ... stop fussing over it ... stop trying to optimize it. This is a production application, and nqsserver uses the memory it requires to accomplish the job, based on demand. C'mon ... never worry?   I'm from New York ... worry is what we do best. Ok, here is the metric you should be watching, using vmstat: - Are you paging ... there are several columns of vmstat outputbash-2.04$ vmstat 3 3 System configuration: lcpu=4 mem=4096MB kthr    memory              page              faults        cpu    ----- ------------ ------------------------ ------------ -----------  r  b    avm   fre  re  pi  po  fr   sr  cy  in   sy  cs us sy id wa  0  0 208492  2600   0   0   0   0    0   0  13   45  73  0  0 99  0  0  0 208492  2600   0   0   0   0    0   0   9   12  77  0  0 99  0  0  0 208492  2600   0   0   0   0    0   0   9   40  86  0  0 99  0 avm is the "available free memory" indicator that trends toward zerore   is "re-page".  The kernel steals a real memory page for one process;  immediately repages back to original processpi  "page in".   A process memory page previously paged out, now paged back in because the process needs itpo "page out" A process memory block was paged out, because it was needed by some other process Light paging activity ( re, pi, po ) is not a concern for worry.   Processes get started, need some memory, go away. Sustained paging activity  is cause for concern.   obiee users are having a terrible day if these counters are always changing. Hang on ... if nqsserver needs that memory and I reduce MAXDATA to keep the process under control, won't the nqsserver process crash when the memory is needed? Yes it will.   It means that nqsserver is configured to require too much memory and there are  lots of options to reduce the real memory requirement.  - number of threads  - size of query cache  - size of sort But I need nqsserver to keep running. Real memory is over-committed.    Many things can cause this:- running all application processes on a single server    ... DB server, web servers, WebLogic/WebSphere, sawserver, nqsserver, etc.   You could move some of those to another host machine and communicate over the network  The need for real memory doesn't go away, it's just distributed to other host machines. - AIX LPAR is configured with too little memory.     The AIX admin needs to provide more real memory to the LPAR running obiee. - More memory to this LPAR affects other partitions. Then it's time to visit your friendly IBM rep and buy more memory.

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