We have a application with a render engine developed in Direct3d/C++. Recently we have come across a crash( access violation) involving ID3DXConstantTable SetFloat/SetVector and shows inside D3dx9_42.dll when we attached a debugger in release binaries with PDBs. One of the ways this crash vanishes when we reduce the number of D3dPOOL Rendertarget textures which are used but from estimating the GPU memory load its no where close to even half of the total available as we are using 3GB NVIDIA cards.
Suspected it to be some heap corruptions due to memory overwrites we went about code checking and following that we used the Application Verifier along with a debugger to root out of memory overwrites which might crash at a later stage of running.. We came across few issues which we ironed out. But still that crash remains at the very first frame render ID3DXConstantTable SetFloat/SetVector . More info :This is 32 bit application running with LARGEADDRESSAWARE flag. Any pointers ?
Well a moment later only i found out the issue I executed the application with the registry switch MEM_TOP_DOWN(AllocationPreference=0x100000) and it instantly crashed at the first setfloat() location.Then goto to know the constant table had to be retrieved using D3DXGetShaderConstantTableEx() with the D3DXCONSTTABLE_LARGEADDRESSAWARE flag :) Thanks
I'm creating bower package search site (everything is open sourced) and I hit the wall. I have some memory leak (or I think I have) and I honestly don't know why it is there.
You can download it and run on Your own, but simple hint will help me greatly.
I have narrowed it down to this function call here https://github.com/kamilbiela/bowereggs-backend/blob/master/main.js#L14 ( nest.fetchAndSave() ) which is all defined here: https://github.com/kamilbiela/bowereggs-backend/blob/master/lib/nest.js
Basically it downloads a package list from internet, Json.parse and inserts it into database, plus some when.js promises.
Running this function few times creates a 30mb of memory per run, that is not cleaned by garbage collector. Also note that this is my first "real" node.js project, so I'll be really grateful for any tip.
For anyone having the same problem:
https://github.com/c4milo/node-webkit-agent
After making few heap dumps I discovered that objects are garbage collected and the real memory usage isn't tied to it. I think that real memory usage is bigger because of using mongo and other non node.js stuff. Also real memory usage stabilizes at ~300mb, heap dumps at ~35mb.
I am looking after an app built with Node JS that's producing some interesting issues. It was originally running on Node JS v0.3.0 and I've since upgraded to v0.10.12. We're using Node JS to render charts on the server and we've noticed the memory usage keeps climbing chart after chart.
Q1: I've been monitoring the RES column in top for the Node JS process, is this correct or should I be monitoring something else?
I've been setting variables to null to try and reallocate memory back to the system resources (I read this somewhere as a solution) and it makes only a slight difference.
I've pushed the app all the way to 1.5gb and it then ceases to function and the process doesn't appear to die. No error messages which I found odd.
Q2: Is there anything else I can do?
Thanks
Steve
That is a massive jump in versions. You may want to share what code changes you may have made to get it working on latest stable. The api is not the same as back in v0.3, so that may be part of the problem.
If not then the issue you see it more likely from heap fragmentation than from an actual leak. In later v8 versions garbage collection is more liberal with cleanup to improve performance. (see http://code.google.com/p/chromium/issues/detail?id=112386 for some discussion on this)
You may try running the application with --max_old_space_size=32 which will limit the amount of memory v8 can use to around 32MB. Note the docs say "max size of the old generation", so it won't be exactly 32MB. Just around it, for lack of a better technical explanation.
Also you can track the amount of external memory usage with --trace_external_memory. This will allow you to know if external memory (i.e. Buffers) are being retained in your application.
You're note on the application hanging around 1.5GB would tell me you're probably on a 64-bit system. You only mentioned it ceases to function, but didn't note if the CPU is spinning during that time. Also since I don't have example code I'm not sure of what might be causing this to happen.
I'd try running on latest development (v0.11.3 at the time of this writing) and see if the issue is fixed. A lot of performance/memory enhancements are being worked on that may help your issue.
I guess you have somewhere a memory leak (in form of a closure?) that keeps the (not longer used?) diagrams(?) somewhere in memory.
The v8 sometimes needs a bit tweaking when it comes to > 1 GB of memory. Try out --noincremental_marking and/or --max_old_space_size=81920000 (if you have 8 GB available).
Check for more options with node --v8-options and go through the --trace*-parameters to find out what slows down/stops node.
We have .NET application (actually an IronPython app). We noticed that overtime the app becomes bigger in memory and sluggish.
Using WINDBG (!eeheap -loader), we noticed the that the LoaderHeap is getting bigger (150MB increase per day). From the !eeheap output it seems that the increase is due to HostCodeHeap (objects?).
I'd like to know what are these objects and why how can I prevent them from growing to infinity.
Thanks!
They are likely objects created for dynamically emitted code. Several components in the framework do this, and it may well be that IronPython uses some on its own.
I'd heard of similar issues while using Linq-TO-SQL, XML serialization, compiled XSLT transforms and other dynamically generated code.
See also "Leaking Unmanaged Heap Memory" near figure 2 in this MSDN magazine article.
I'm writing a MIDlet using LWUIT and images seem to eat up incredible amounts of memory. All the images I use are PNGs and are packed inside the JAR file. I load them using the standard Image.createImage(URL) method. The application has a number of forms and each has a couple of labels an buttons, however I am fairly certain that only the active form is kept in memory (I know it isn't very trustworthy, but Runtime.freeMemory() seems to confirm this).
The application has worked well in 240x320 resolution, but moving it to 480x640 and using appropriately larger images for UI started causing out of memory errors to show up. What the application does, among other things, is download remote images. The application seems to work fine until it gets to this point. After downloading a couple of PNGs and returning to the main menu, the out of memory error is encountered. Naturally, I looked into the amount of memory the main menu uses and it was pretty shocking. It's just two labels with images and four buttons. Each button has three images used for style.setIcon, setPressedIcon and setRolloverIcon. Images range in size from 15 to 25KB but removing two of the three images used for every button (so 8 images in total), Runtime.freeMemory() showed a stunning 1MB decrease in memory usage.
The way I see it, I either have a whole lot of memory leaks (which I don't think I do, but memory leaks aren't exactly known to be easily tracked down), I am doing something terribly wrong with image handling or there's really no problem involved and I just need to scale down.
If anyone has any insight to offer, I would greatly appreciate it.
Mobile devices are usually very low on memory. So you have to use some tricks to conserve and use memory.
We had the same problem at a project of ours and we solved it like this.
for downloaded images:
Make a cache where you put your images. If you need an image, check if it is in the cachemap, if it isn't download it and put it there, if it is, use it. if memory is full, remove the oldest image in the cachemap and try again.
for other resource images:
keep them in memory only for as long as you can see them, if you can't see them, break the reference and the gc will do the cleanup for you.
Hope this helps.
There are a few things that might be happening here:
You might have seen the memory used before garbage collection, which doesn't correspond to the actual memory used by your app.
Some third party code you are running might be pooling some internal datastructures to minimize allocation. While pooling is a viable strategy, sometimes it does look like a leak. In that case, look if there is API to 'close' or 'dispose' the objects you don't need.
Finally, you might really have a leak. In this case you need to get more details on what's going on in the emulator VM (though keep in mind that it is not necessarily the same as the phone VM).
Make sure that your emulator uses JRE 1.6 as backing JVM. If you need it to use the runtime libraries from erlyer JDK, use -Xbootclasspath:<path-to-rt.jar>.
Then, after your application gets in the state you want to see, do %JAVA_HOME%\bin\jmap -dump:format=b,file=heap.bin <pid> (if you don't know the id of your process, use jps)
Now you've got a dump of the JVM heap. You can analyze it with jhat (comes with the JDK, a bit difficult to use) or some third party profilers (my preference is YourKit - it's commercial, but they have time-limited eval licenses)
I had a similar problem with LWUIT at Java DTV. Did you try flushing the images when you don't need them anymore (getAWTImage().flush())?
Use EncodedImage and resource files when possible (resource files use EncodedImage by default. Read the javadoc for such. Other comments are also correct that you need to actually observe the amount of memory, even high RAM Android/iOS devices run out of memory pretty fast with multiple images.
Avoid scaling which effectively eliminates the EncodedImage.
Did you think of the fact, that maybe loading the same image from JAR, many times, is causing many separate image objects (with identical contents) to be created instead of reusing one instance per-individual-image? This is my first guess.