When running my app in the simulator and analyzing its memory allocations using Instruments, the App runs very slow, it runs at less than 1/30 of its normal speed.
The app uses about 50 MB RAM and has approximately 900,000 life objects (according to Instruments).
Could this be the reason for the slow performance?
When running in the app on the device or in the simulator without using Instruments, it performs well (except the memory issue I am trying to debug).
Do you have any idea on how to solve this issue?
Did you encounter slow performance using the Memory Allocation
instruments?
Would you consider having more than 900,000 life
objects "concerning"?
Considering your Analyzer performance issue
In your specific case monitoring the app over a long period of time will not be necessary, as you reach the state of high memory consumption very soon. You could simply stop recording at this point. Then you won't have problems navigating through the different views and statistics to find the cause of the memory issue.
Analyzing the memory issue
Slowing down is normal. 1/30 sounds quite alarming.
You probably should track how the amount of life objects and the memory usage change while you use the app.
It is difficult to decide if a certain amount of life objects at a specific point in time is critical (though 900,000 seems very high).
In general: if life objects and memory usage grow continuously and don't shrink, that is a bad sign.
If you take a look Statistics -> Object Summary (Screenshot), Live Bytes should be a lot smaller than Overall Bytes and the amount of #Living objects should be a lot smaller than the amount of #Transitory objects.
The second thing you can look at, is the Call Tree view.
It gives you a nice overview of which parts of the application are responsible for reserving large amount of memory:
Possible solutions
Once you detect the parts of your code that are responsible for reserving the large memory amount you can look for retain-cycles or you could try to use more autorelease pools in that spot.
Check that you have enough available disk space. I had 8gb left and it seems like that was too little. Instruments was extreeemely slow. Used a minute just to start and didn't quite get around at all.
I cleared out more disk space and then it suddenly went back to being fast as before.
Related
I have done my best to make sure that views are released when they are no longer needed and when pushing the app and then looking at the Debug Memory Graph I see that no objects are present that shouldn't be there. However when I look at the memory graph I can see that although the graph does sometimes bump back down, it still slowly trends upwards. An example is attached.
I am new to building large projects in iOS and am mostly asking is this normal? Is it simply impossible to free all used memory with ARC? Or is there still more debugging to be done here?
(app starts at ~15MB, ends up at 20.1MB)
Starting at 15 megabytes and levelling off at 20 megabytes is great. This app is tiny, and its memory usage levels off quickly. Problems arise when memory usage keeps rising forever, typically on the level of giga bytes, i.e. many orders of magnitude bigger! So, don't worry, be happy.
I have an RSS reader-type app that I'm running through instruments and I'm seeing alot of allocations from RIPZoneDataAlloc:
What does RIPZoneDataAlloc do exactly?
Also after maybe a dozen page transitions including alot of UIWebViews, I'm seeing almost 10mb live bytes. If I run leaks I see trivial leaks. Does 10mb sound like an issue? Does it indicate that I'm doing something wrong?
RIPZoneDataAlloc is apparently responsible for a high amount of memory allocations, especially those that deal with UIColor's colorWithPatternImage: method, which is known to be a memory hog.
10mb is a perfectly reasonable amount of memory consumption for an application. I have a fairly complicated app that consumes about 30mb on average, so that's perfectly reasonable. I'd be more concerned if your app was spiking memory usage at about 50-70 mb.
As for those leaks, they are trivial enough that you can ignore them. Mostly because you have no power to fix system-level frameworks.
I'm definitely confused on this point.
I have an iPad application that shows 'Live Bytes' usage of 6-12mb in the object allocation instrument. If I pull up the memory monitor or activity monitor, the 'Real Memory' Column consistently climbs to around 80-90mb after some serious usage.
So do I have a normal memory footprint or a high one?
This answer and this answer claim you should watch 'Live Bytes' as the 'Real Memory' column shows memory blocks that have been released, but the OS hasn't yet reclaimed it.
On the other hand, this answer claims you need to pay attention to that memory monitor, as the 'Live Bytes' doesn't include things like interface elements.
What is the deal with iOS memory footprint!? :)
Those are simply two different metrics for measuring memory use. Which one is the "right" one depends on what question you're trying to answer.
In a nutshell, the difference between "live bytes" and "real memory" is the difference between the amount of memory currently used for stuff that your app has created and the total amount of physical memory currently attributed to your app. There are at least two reasons that those are different:
code: Your app's code has to be loaded into memory, of course, and the virtual memory system surely attributes that to your app even though it's not memory that your app allocated.
memory pools: Most allocators work by maintaining one or more pools of memory from which they can carve off pieces for individual objects or allocated memory blocks. Most implementations of malloc work that way, and I expect that the object allocator does too. These pools aren't automatically resized downward when an object is deallocated -- the memory is just marked 'free' in the pool, but the whole pool will still be attributed to your app.
There may be other ways that memory is attributed to your app without being directly allocated by your code, too.
So, what are you trying to learn about your application? If you're trying to figure out why your app crashed due to low memory, look at both "live bytes" (to see what your app is using now) and "real memory" (to see how much memory the VM system says your app is using). If you're trying to improve your app's memory performance, looking at "live bytes" or "live objects" is more likely to help, since that's the memory that you can do something about.
Seeing as how I wrote the last answer you linked to, I'll have to stand by that. If you want a total, accurate count of the current memory usage for your application, use the Memory Monitor instrument.
For reasons that I describe in this answer, Allocations hides the memory sizes of certain elements, meaning that its memory usage totals are significantly lower than your application's in-memory size. Many people find this out the hard way when they try to get their application functional on older iOS devices. On the older hardware, you had a hard memory ceiling of ~30 MB, where if you exceeded that your application was hard-killed.
Many developers (myself included) saw that we only had ~1-2 MB of live bytes in Allocations and thought we were good, until our applications started receiving memory warnings and early terminations. If you looked at Memory Monitor, you could see the true in-memory size of these applications being >20 MB, and you could see the applications being terminated the instant they crossed the 30 MB barrier in Memory Monitor.
Therefore, if you want an accurate assessment of your total application memory usage, use Memory Monitor. Allocations is great to find out the specific objects that are in memory, particularly when you use the heap shots to find things that might be accumulating (as leaks, retain cycles, or for other reasons). Just don't trust it when determining your application's actual size in memory.
'Live bytes' means memory allocated by your code (for example by malloc), so you have access to this memory. 'Real memory' shows physical amount of memory used by your app. This include also OpenGL textures, (possibly) sounds from Open AL...
Live bytes is useful to check when you allocate and release memory in your code. Real memory is good indicator for memory optimization efficiency. And it's overhead causes 'low memory' warnings.
I'm in the process of understanding how to put instruments to better use. I just finished a leak management exercise, and instruments is reporting very few leaks. I'll figure those out later. In the mean time, my app is crashing, and it appears that its related to memory pressure.
So I looked at this in Instruments. I have Allocations and Memory Monitor in use. Allocations shows a pretty steady 3 to 4 MB Live bytes while I just let my app initialize and come to equilibrium. Overall bytes, however, jumps to over 50 MB. I didn't think much of this until I looked at the Memory Monitor and I see that memory usage goes up and down, causing memory warnings. (It seems strange to me that this doesn't show up on the allocations graph at the same time.)
The app should be at an equilibrium point, but apparently it's not. My question is how can I use instruments to help me understand why memory usages is rising and falling?
Instruments as a tool for debugging is simply excellent. From what I can understand, you have been trying to use the allocations tool, so I'll go over that. Allocations details the number of objects your application allocates during it's execution, along with their in-memory references, locations, even the calling code that allocates said objects. When instruments starts running the allocations tool, your application begins reporting all allocations as blue dots, which pile up higher and higher as your application executes (naturally, as you should be allocating more and more objects). Overall Bytes displays the amount of memory EVERY allocation your app has made added together. I want to stress this for your case: it does not mean your app is currently using 50 mb of memory!, it just means that your app has used 50 mb total. Your app is obviously limited to the amount of memory the device has, and 3-4 mb is not a lot when you consider that the first gen. iPhone had about 128mb, but for more complicated applications, the OS will usually kill off other applications before it kills yours.
As for the other allocation graph with spikes, rather than a continuous line graph, that is to detail the number of allocations going on at that point in time. Usually, the spikes can be ignored, unless there are a lot of large spikes in one small amount of time.
Anyways, to address your specific memory warning problem, it honestly depends how many memory warnings you are receiving, and at what level the warning are at. And as for your leaks, my only word of advice is: Squash them as soon as possible! When you see a leak (a red bar in the leaks tool), click on the bar and find the objects that are being leaked. When you select a leaked object, then select the right sidebar, it will show you the code that is leaking. When you double click on any part of the right sidebar, it'll even open up the specific line and class the leak originated from!
I have a strange memory issue I'm having problems resolving and would appreciate some advice as to where else to look.
The program I have (iPhone App) has a function whereby it basically downloads loads of files, processes those that are JSON, and stores the rest to disk. The JSON processing is CPU intensive and can take several seconds per file, so I have a NSOperationQueue with maxConcurrency limited to 1 that handles all the heavy lifting, and a queue that manages the multiple files to download.
Ever since iOS5 came out, the App has had problems completing the download sequence without crashing and so far what I have tried is;
1) Changed the performSelectorOnBackgroundThread JSON processing to use a single NSOperationQueue so as to limit the number of background threads working with large objects.
2) Added NSAutoReleasePools inside loops that create multiple, large, transient objects.
3) Flushed the sharedURLCache to ensure the files aren't hanging around in the system cache.
4) Stored the JSON objects to disk using NSKeyedArchiver and passed the filenames between threads rather than the actual objects, to again try to mitigate the number and size of retained objects currently in use.
All of these at first seemed to make a difference, and when I look at the memory allocations, I've now got the peak usage down from just over 20MB (hence no wonder it was crashing) to under 10MB, and yet the app is still crashing with low memory as before.
I'm trying to trace what is eating the memory causing the app to crash and on this occasion I'm having real problems persuading Instruments to tell me anything useful.
Here's a typical trace (on an iPhone 3GS running iOS 4.3.5)
You can see that the PEAK usage was a tad over 7MB and yet shortly after, you can see the 2 flags pertaining to low memory, and then low memory urgent, followed by the app terminating shortly thereafter.
If I use the memory monitor, the cause of the crash seems clear enough - physical memory is being exhausted - look at the light green trace below. The low memory warnings co-incide (not surprisingly) with the physical memory running out.
There are no leaks showing FWIW either (I've done that in other runs).
It's not image caches or NSURLConnection caches and the only thing I can think of is that perhaps there are some bad leaks that aren't being detected ... but I'm having issues identifying them because if I click into all allocations to see the objects that are live, and then do a command-A to select them all (in order to paste them into a spreadsheet to see where the memory seems to be), at the point I hit command-C to copy them, Instruments beachballs and never recovers.
I really cant figure out what's going on. Does anyone have some advice on how to persuade instruments to show me some more useful information about what is using this memory?
Sorry I can't post any meaningful code fragments ... hopefully the instruments screenshots at least give you an idea about where I'm coming from.
The Leaks instrument isn't terribly useful for figuring out anything but the obvious leaks in your app.
What you are describing is an ideal candidate for heapshot analysis.
tl;dr Heapshot analysis allows you to see exactly how the heap of your application grows between any two points of time (where you determine the points).