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  • Language for non-programmers to start learning programming

    - by zarawesome
    A non-programmer friend will be starting the Computer Science college course in a few months. I'd like her to try her hand at some programming before she starts her studies (the course itself expects one to know C, but it's an horrible language to learn to program at). What language would be the best to do so? Related question: Best ways to teach a beginner to program?

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  • Using the Onboard VGA output with a PCIe video card. Both nVidia

    - by sebikul
    I have 2 video cards, one On board, a nVidia 6150SE nForce 430 and a PCIe nVidia GeForce GT 220 1GB DDR2 RAM I have already configured the PCIe card to use the dual monitor feature, using the VGA and HDMI ports, but now I want to add a third monitor, using the On board VGA port I have managed to enable the On board graphics processor, which is taking 400MB of ram, but I cant manage to use it, nvidia-settings does not detect it, like it's not usable (but is there) My questions are the following: How can I manage to get the On board VGA display to work together with the PCIe graphics card? If possible, how can I recover those 400 MB the on board card is taking (even without being used) or how can I get it to use the PCIe card available memory? System Details: Linux 2.6.35-28-generic i686 Ubuntu 10.10 (All updates installed) NVIDIA Driver Version: 260.19.06 (Official) If more info is needed please let me know. Here is the lspci output when the On board card is disabled: 00:00.0 RAM memory: nVidia Corporation MCP61 Memory Controller (rev a1) 00:01.0 ISA bridge: nVidia Corporation MCP61 LPC Bridge (rev a2) 00:01.1 SMBus: nVidia Corporation MCP61 SMBus (rev a2) 00:01.2 RAM memory: nVidia Corporation MCP61 Memory Controller (rev a2) 00:01.3 Co-processor: nVidia Corporation MCP61 SMU (rev a2) 00:02.0 USB Controller: nVidia Corporation MCP61 USB Controller (rev a3) 00:02.1 USB Controller: nVidia Corporation MCP61 USB Controller (rev a3) 00:04.0 PCI bridge: nVidia Corporation MCP61 PCI bridge (rev a1) 00:05.0 Audio device: nVidia Corporation MCP61 High Definition Audio (rev a2) 00:06.0 IDE interface: nVidia Corporation MCP61 IDE (rev a2) 00:07.0 Bridge: nVidia Corporation MCP61 Ethernet (rev a2) 00:08.0 IDE interface: nVidia Corporation MCP61 SATA Controller (rev a2) 00:09.0 PCI bridge: nVidia Corporation MCP61 PCI Express bridge (rev a2) 00:0b.0 PCI bridge: nVidia Corporation MCP61 PCI Express bridge (rev a2) 00:0c.0 PCI bridge: nVidia Corporation MCP61 PCI Express bridge (rev a2) 00:0d.0 VGA compatible controller: nVidia Corporation C61 [GeForce 6150SE nForce 430] (rev a2) 00:18.0 Host bridge: Advanced Micro Devices [AMD] K8 [Athlon64/Opteron] HyperTransport Technology Configuration 00:18.1 Host bridge: Advanced Micro Devices [AMD] K8 [Athlon64/Opteron] Address Map 00:18.2 Host bridge: Advanced Micro Devices [AMD] K8 [Athlon64/Opteron] DRAM Controller 00:18.3 Host bridge: Advanced Micro Devices [AMD] K8 [Athlon64/Opteron] Miscellaneous Control 01:09.0 Ethernet controller: Intel Corporation 82557/8/9/0/1 Ethernet Pro 100 (rev 08) 02:00.0 VGA compatible controller: nVidia Corporation GT216 [GeForce GT 220] (rev a2) 02:00.1 Audio device: nVidia Corporation High Definition Audio Controller (rev a1) And this is when both are enabled: 00:00.0 RAM memory: nVidia Corporation MCP61 Memory Controller (rev a1) 00:01.0 ISA bridge: nVidia Corporation MCP61 LPC Bridge (rev a2) 00:01.1 SMBus: nVidia Corporation MCP61 SMBus (rev a2) 00:01.2 RAM memory: nVidia Corporation MCP61 Memory Controller (rev a2) 00:01.3 Co-processor: nVidia Corporation MCP61 SMU (rev a2) 00:02.0 USB Controller: nVidia Corporation MCP61 USB Controller (rev a3) 00:02.1 USB Controller: nVidia Corporation MCP61 USB Controller (rev a3) 00:04.0 PCI bridge: nVidia Corporation MCP61 PCI bridge (rev a1) 00:05.0 Audio device: nVidia Corporation MCP61 High Definition Audio (rev a2) 00:06.0 IDE interface: nVidia Corporation MCP61 IDE (rev a2) 00:07.0 Bridge: nVidia Corporation MCP61 Ethernet (rev a2) 00:08.0 IDE interface: nVidia Corporation MCP61 SATA Controller (rev a2) 00:09.0 PCI bridge: nVidia Corporation MCP61 PCI Express bridge (rev a2) 00:0b.0 PCI bridge: nVidia Corporation MCP61 PCI Express bridge (rev a2) 00:0c.0 PCI bridge: nVidia Corporation MCP61 PCI Express bridge (rev a2) 00:0d.0 VGA compatible controller: nVidia Corporation C61 [GeForce 6150SE nForce 430] (rev a2) 00:18.0 Host bridge: Advanced Micro Devices [AMD] K8 [Athlon64/Opteron] HyperTransport Technology Configuration 00:18.1 Host bridge: Advanced Micro Devices [AMD] K8 [Athlon64/Opteron] Address Map 00:18.2 Host bridge: Advanced Micro Devices [AMD] K8 [Athlon64/Opteron] DRAM Controller 00:18.3 Host bridge: Advanced Micro Devices [AMD] K8 [Athlon64/Opteron] Miscellaneous Control 01:09.0 Ethernet controller: Intel Corporation 82557/8/9/0/1 Ethernet Pro 100 (rev 08) 02:00.0 VGA compatible controller: nVidia Corporation GT216 [GeForce GT 220] (rev a2) 02:00.1 Audio device: nVidia Corporation High Definition Audio Controller (rev a1) Output of lshw -class display: *-display description: VGA compatible controller product: GT216 [GeForce GT 220] vendor: nVidia Corporation physical id: 0 bus info: pci@0000:02:00.0 version: a2 width: 64 bits clock: 33MHz capabilities: pm msi pciexpress vga_controller bus_master cap_list rom configuration: driver=nvidia latency=0 resources: irq:18 memory:df000000-dfffffff memory:c0000000-cfffffff memory:da000000-dbffffff ioport:ef80(size=128) memory:def80000-deffffff *-display description: VGA compatible controller product: C61 [GeForce 6150SE nForce 430] vendor: nVidia Corporation physical id: d bus info: pci@0000:00:0d.0 version: a2 width: 64 bits clock: 66MHz capabilities: pm msi vga_controller bus_master cap_list rom configuration: driver=nvidia latency=0 resources: irq:22 memory:dd000000-ddffffff memory:b0000000-bfffffff memory:dc000000-dcffffff memory:deb40000-deb5ffff If what I'm looking for is not possible, please tell me, so I can disable the On board card and recover those 400MB of wasted RAM Thanks for your help!

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  • How To Boot with "mem=1024m" Argument using GRUB - Ubuntu 10.04

    - by nicorellius
    I am still working on this question. This new one is a different question so I thought it would be good to post a new question. Is this the proper protocol or should I have just edited the other question? I'm running Ubuntu 10.04 with the kernel 2.6.32-22-generic on a Toshiba Satellite laptop. When I enter the GRUB menu (I have Ubuntu 9.10 installed as well), I can choose which kernel to boot. I use scroll down to the one I want and press "e" and I expect to be able to enter mem=1024m and force the kernel to use this much memory. But when I run cat /proc/meminfo or look in the process manager after booting wth this argument I still see all the RAM: ~2 GB. Am I using this boot argument incorrectly? The boot configuration (before I add anything) looks like this: insmod ext2 set root=(hd0,1) search --no-floppy --fs-uuid --set 10270f21-1c42-494b-bd3f-813c23f6d\ 518 linux /boot/vmlinuz-2.6.32-22-generic root=UUID=10270f21-1c42-494b-b\ d3f-813c23f6d518 ro quiet splash initrd /boot/initrd.img-2.6.32-22-generic The way I did this was that I added the mem=1024m after the last line and pressed Ctrl+x (Emacs save and boot the kernel) and the system booted. I tried adding mem=1024m to the end and the beginning of this list and it appeared to not change the RAM allocation.

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  • WPF WriteableBitmap Memory Leak?

    - by Mario
    Hello, everyone! I'm trying to figure out how to release a WriteableBitmap memory. In the next section of code I fill the backbuffer of a WriteableBitmap with a really large amount of data from "BigImage" (3600 * 4800 px, just for testing) If I comment the lines where bitmap and image are equaled to null, the memory it´s not release and the application consumes ~230 MB, even when Image and bitmap are no longer used! As you can see at the end of the code its necessary to call GC.Collect() to release the memory. So the question is, what is the right way to free the memory used by a WriteableBitmap object? Is GC.Collect() the only way? Any help would be great. PS. Sorry for my bad english. private void buttonTest_Click(object sender, RoutedEventArgs e) { Image image = new Image(); image.Source = new BitmapImage(new Uri("BigImage")); WriteableBitmap bitmap = new WriteableBitmap( (BitmapSource)image.Source); bitmap.Lock(); // Bitmap processing bitmap.Unlock(); image = null; bitmap = null; GC.Collect(); }

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  • Rails.cache throws "marshal dump" error when changed from memory store to memcached store

    - by gsmendoza
    If I set this in my environment config.action_controller.cache_store = :mem_cache_store ActionController::Base.cache_store will use a memcached store but Rails.cache will use a memory store instead: $ ./script/console >> ActionController::Base.cache_store => #<ActiveSupport::Cache::MemCacheStore:0xb6eb4bbc @data=<MemCache: 1 servers, ns: nil, ro: false>> >> Rails.cache => #<ActiveSupport::Cache::MemoryStore:0xb78b5e54 @data={}> In my app, I use Rails.cache.fetch(key){ object } to cache objects inside my helpers. All this time, I assumed that Rails.cache uses the memcached store so I'm surprised that it uses memory store. If I change the cache_store setting in my environment to config.cache_store = :mem_cache_store both ActionController::Base.cache_store and Rails.cache will now use the same memory store, which is what I expect: $ ./script/console >> ActionController::Base.cache_store => #<ActiveSupport::Cache::MemCacheStore:0xb7b8e928 @data=<MemCache: 1 servers, ns: nil, ro: false>, @middleware=#<Class:0xb7b73d44>, @thread_local_key=:active_support_cache_mem_cache_store_local_cache> >> Rails.cache => #<ActiveSupport::Cache::MemCacheStore:0xb7b8e928 @data=<MemCache: 1 servers, ns: nil, ro: false>, @middleware=#<Class:0xb7b73d44>, @thread_local_key=:active_support_cache_mem_cache_store_local_cache> However, when I run the app, I get a "marshal dump" error in the line where I call Rails.cache.fetch(key){ object } no marshal_dump is defined for class Proc Extracted source (around line #1): 1: Rails.cache.fetch(fragment_cache_key(...), :expires_in => 15.minutes) { ... } vendor/gems/memcache-client-1.8.1/lib/memcache.rb:359:in 'dump' vendor/gems/memcache-client-1.8.1/lib/memcache.rb:359:in 'set_without_newrelic_trace' What gives? Is Rails.cache meant to be a memory store? Should I call controller.cache_store.fetch in the places where I call Rails.cache.fetch?

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  • problem disposing class in Dictionary it is Still in the heap memory although using GC.Collect

    - by Bahgat Mashaly
    Hello i have a problem disposing class in Dictionary this is my code private Dictionary<string, MyProcessor> Processors = new Dictionary<string, MyProcessor>(); private void button1_Click(object sender, EventArgs e) { if (!Processors.ContainsKey(textBox1.Text)) { Processors.Add(textBox1.Text, new MyProcessor()); } } private void button2_Click(object sender, EventArgs e) { MyProcessor currnt_processor = Processors[textBox1.Text]; Processors.Remove(textBox2.Text); currnt_processor.Dispose(); currnt_processor = null; GC.Collect(); } public class MyProcessor: IDisposable { private bool isDisposed = false; string x = ""; public MyProcessor() { for (int i = 0; i < 20000; i++) { //this line only to increase the memory usage to know if the class is dispose or not x = x + "gggggggggggg"; } this.Dispose(); GC.SuppressFinalize(this); } public void Dispose() { this.Dispose(true); GC.SuppressFinalize(this); } public void Dispose(bool disposing) { if (!this.isDisposed) { isDisposed = true; this.Dispose(); } } ~MyProcessor() { Dispose(false); } } i use "ANTS Memory Profiler" to monitor heap memory the disposing work only when i remove all keys from dictionary how can i destroy the class from heap memory ? thanks in advance

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  • Using ServletOutputStream to write very large files in a Java servlet without memory issues

    - by Martin
    I am using IBM Websphere Application Server v6 and Java 1.4 and am trying to write large CSV files to the ServletOutputStream for a user to download. Files are ranging from a 50-750MB at the moment. The smaller files aren't causing too much of a problem but with the larger files it appears that it is being written into the heap which is then causing an OutOfMemory error and bringing down the entire server. These files can only be served out to authenticated users over https which is why I am serving them through a Servlet instead of just sticking them in Apache. The code I am using is (some fluff removed around this): resp.setHeader("Content-length", "" + fileLength); resp.setContentType("application/vnd.ms-excel"); resp.setHeader("Content-Disposition","attachment; filename=\"export.csv\""); FileInputStream inputStream = null; try { inputStream = new FileInputStream(path); byte[] buffer = new byte[1024]; int bytesRead = 0; do { bytesRead = inputStream.read(buffer, offset, buffer.length); resp.getOutputStream().write(buffer, 0, bytesRead); } while (bytesRead == buffer.length); resp.getOutputStream().flush(); } finally { if(inputStream != null) inputStream.close(); } The FileInputStream doesn't seem to be causing a problem as if I write to another file or just remove the write completly the memory usage doesn't appear to be a problem. What I am thinking is that the resp.getOutputStream().write is being stored in memory until the data can be sent through to the client. So the entire file might be read and stored in the resp.getOutputStream() causing my memory issues and crashing! I have tried Buffering these streams and also tried using Channels from java.nio, none of which seems to make any bit of difference to my memory issues. I have also flushed the outputstream once per iteration of the loop and after the loop, which didn't help.

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  • Android Multiple Handlers Design Question

    - by Soumya Simanta
    This question is related to an existing question I asked. I though I'll ask a new question instead of replying back to the other question. Cannot "comment" on my previous question because of a word limit. Marc wrote - I've more than one Handlers in an Activity." Why? If you do not want a complicated handleMessage() method, then use post() (on Handler or View) to break the logic up into individual Runnables. Multiple Handlers makes me nervous. I'm new to Android. Is having multiple handlers in a single activity a bad design ? I'm new to Android. My question is - is having multiple handlers in a single activity a bad design ? Here is the sketch of my current implementation. I've a mapActivity that creates a data thread (a UDP socket that listens for data). My first handler is responsible for sending data from the data thread to the activity. On the map I've a bunch of "dynamic" markers that are refreshed frequently. Some of these markers are video markers i.e., if the user clicks a video marker, I add a ViewView that extends a android.opengl.GLSurfaceView to my map activity and display video on this new vide. I use my second handler to send information about the marker that the user tapped on ItemizedOverlay onTap(int index) method. The user can close the video view by tapping on the video view. I use my third handler for this. I would appreciate if people can tell me what's wrong with this approach and suggest better ways to implement this. Thanks.

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  • A map and set which uses contiguous memory and has a reserve function

    - by edA-qa mort-ora-y
    I use several maps and sets. The lack of contiguous memory, and high number of (de)allocations, is a performance bottleneck. I need a mainly STL-compatbile map and set class which can use a contiguous block of memory for internal objects (or multiple blocks). It also needs to have a reserve function so that I can preallocate for expected sizes. Before I write my own I'd like to check what is available first. Is there something in Boost which does this? Does somebody know of an available implementation elsewhere? Intrusive collection types are not usable here as the same objects need to exist in several collections. As far as I know STL memory pools are per-type, not per instance. These global pools are not efficient with respect to memory locality in mutli-cpu/core processing. Object pools don't work as the types will be shared between instance but their pool should not. In many cases a hash map may be an option in some cases.

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  • Out Of Memory error while executing mysqldump

    - by Nishaz Salam
    Hi, I am getting the following error when trying to backup a database using mysqldump from the command prompt. C:\Documents and Settings\bobC:\Adobe\LiveCycle8.2\mysql\bin\mysqldump --quick --add-locks --lock-tables -c --default-character-set=utf8 --skip-opt -pxxxx -u adobe -r C:\Adobe\LiveCycle8.2\configurationManager\working\upgrade\mysql\adobe. sql -B adobe --port=3306 --host=localhost mysqldump: Out of memory (Needed 10380928 bytes) mysqldump: Got error: 2008: MySQL client ran out of memory when retrieving data from server As you can see i am using the --quick and --skip-opt too; cannot figure out what is causing the issue. The server log has the following messages 100420 15:16:39 InnoDB: Error: cannot allocate 4814100 bytes of memory for InnoDB: a BLOB with malloc! Total allocated memory InnoDB: by InnoDB 33427880 bytes. Operating system errno: 2 InnoDB: Check if you should increase the swap file or InnoDB: ulimits of your operating system. InnoDB: On FreeBSD check you have compiled the OS with InnoDB: a big enough maximum process size. 100420 15:16:40 InnoDB: Warning: could not allocate 3814100 + 1000000 bytes to retrieve InnoDB: a big column. Table name adobe/tb_form_data Any help on this regard is highly appreciated P.S: The backup works fine without any issues when i use the MYSQL Administrator, but since an external app( adobe livecycle installer) uses the above command to backup the database during install, i need to get this working. Thanks, Nishaz Salam

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  • Mysql Database Question about Large Columns

    - by murat
    Hi, I have a table that has 100.000 rows, and soon it will be doubled. The size of the database is currently 5 gb and most of them goes to one particular column, which is a text column for PDF files. We expect to have 20-30 GB or maybe 50 gb database after couple of month and this system will be used frequently. I have couple of questions regarding with this setup 1-) We are using innodb on every table, including users table etc. Is it better to use myisam on this table, where we store text version of the PDF files? (from memory usage /performance perspective) 2-) We use Sphinx for searching, however the data must be retrieved for highlighting. Highlighting is done via sphinx API but still we need to retrieve 10 rows in order to send it to Sphinx again. This 10 rows may allocate 50 mb memory, which is quite large. So I am planning to split these PDF files into chunks of 5 pages in the database, so these 100.000 rows will be around 3-4 million rows and couple of month later, instead of having 300.000-350.000 rows, we'll have 10 million rows to store text version of these PDF files. However, we will retrieve less pages, so again instead of retrieving 400 pages to send Sphinx for highlighting, we can retrieve 5 pages and it will have a big impact on the performance. Currently, when we search a term and retrieve PDF files that have more than 100 pages, the execution time is 0.3-0.35 seconds, however if we retrieve PDF files that have less than 5 pages, the execution time reduces to 0.06 seconds, and it also uses less memory. Do you think, this is a good trade-off? We will have million of rows instead of having 100k-200k rows but it will save memory and improve the performance. Is it a good approach to solve this problem and do you have any ideas how to overcome this problem? The text version of the data is used only for indexing and highlighting. So, we are very flexible. Thanks,

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  • Porting - Shared Memory x32 & x64 processes

    - by dpb
    A 32 bit host Windows application setups shared memory (using memory mapped file / CreateFileMapping() API), and then other 32 bit client processes use this shared memory to communicate with each other. I am planning to port the host application to 64 bit platform and once it is ready, I intend that both 32 bit and 64 bit client processes should be able to use the shared memory setup by the main 64 bit host application. The original code written for host x32 application uses "size_t" almost everywhere, since this differs from 4 bytes to 8 bytes as we move from x32 to x64, I am looking for replacing it. I intend to replace "size_t" by "unsigned long long", so that its size will be same on 32 bit & 64 bit. Can you please suggest me better alternative? Also, will the use of "unsigned long long" have performance impact on x32 app .. i guess yes? Research Done - Found very useful articles - a) 20 issue in porting from 32 bit to 64 bit (www.viva64.com) b) No way to restrict/change "size_t" on x64 platform to 4 bytes using compiler flags or any hooks/crooks since it is typedef

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  • iPhone OpenGLES: Textures are consuming too much memory and the program crashes with signal "0"

    - by CustomAppsMan
    I am not sure what the problem is. My app is running fine on the simulator but when I try to run it on the iPhone it crashes during debugging or without debugging with signal "0". I am using the Texture2D.m and OpenGLES2DView.m from the examples provided by Apple. I profiled the app on the iPhone with Instruments using the Memory tracer from the Library and when the app died the final memory consumed was about 60Mb real and 90+Mb virtual. Is there some other problem or is the iPhone just killing the application because it has consumed too much memory? If you need any information please state it and I will try to provide it. I am creating thousands of textures at load time which is why the memory consumption is so high. Really cant do anything about reducing the number of pics being loaded. I was running before on just UIImage but it was giving me really low frame rates. I read on this site that I should use OpenGLES for higher frame rates. Also sub question is there any way not to use UIImage to load the png file and then use the Texture class provided to create the texture for OpenGLES functions to use it for drawing? Is there some function in OpenGLES which will create a texture straight from a png file?

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  • Servlet File Upload Memory Consumption

    - by Scott
    Hi, I'm using a servlet to do a multi fileupload (using apache commons fileupload to help). A portion of my code is posted below. My problem is that if I upload several files at once, the memory consumption of the app server jumps rather drastically. This is probably OK if it were only until the file upload is finished, but the app server seems to hang on to the memory and never return it to the OS. I'm worried that when I put this into production I'll end up getting an out of memory exception on the server. Any ideas on why this is happening? I'm thinking the server may have started a session and will give the memory back after it expires, but I'm not 100% positive. if(ServletFileUpload.isMultipartContent(request)) { ServletFileUpload upload = new ServletFileUpload(); FileItemIterator iter = upload.getItemIterator(request); while(iter.hasNext()) { FileItemStream license = iter.next(); if(license.getFieldName().equals("upload_button") || license.getName().equals("")) continue; //DataInputStream stream = new DataInputStream(license.openStream()); InputStream stream = license.openStream(); ArrayList<Integer> byteArray = new ArrayList<Integer>(); int tempByte; do { tempByte = stream.read(); byteArray.add(tempByte); }while(tempByte != -1); stream.close(); byteArray.remove(byteArray.size()-1); byte[] bytes = new byte[byteArray.size()]; int i = 0; for(Integer tByte : byteArray) { bytes[i++] = tByte.byteValue(); } Thanks in advanced!!

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  • Concept: Information Into Memory Location.

    - by Richeve S. Bebedor
    I am having troubles conceptualizing an algorithm to be used to transform any information or data into a specific appropriate and reasonable memory location in any data structure that I will be devising. To give you an idea, I have a JPanel object instance and I created another Container type object instance of any subtype (note this is in Java because I love this language), then I collected those instances into a data structure not specifically just for those instances but also applicable to any type of object. Now my procedure for fetching those data again is to extract the object specific features similar in category to all object in that data structure and transform it into a integer data memory location (specifically as much as possible) or any type of data that will pertain to this transformation. And I can already access that memory location without further sorting or applications of O(n) time complex algorithms (which I think preferable but I wanted to do my own way XD). The data structure is of any type either binary tree, linked list, arrays or sets (and the like XD). What is important is I don't need to have successive comparing and analysis of data just to locate information in big structures. To give you a technical idea, I have to an array DS that contains JLabel object instance with a specific name "HelloWorld". But array DS contains other types of object (in multitude). Now this JLabel object has a location in the array at index [124324] (which is if you do any type of searching algorithm just to arrive at that location is conceivably slow because added to it the data structure used was an array *note please disregard the efficiency of the data structure to be used I just want to explain to you my concept XD). Now I want to equate "HelloWorld" to 124324 by using a conceptually made function applicable to all data types. So that I can do a direct search by doing this DS[extractLocation("HelloWorld")] just to get that JLabel instance. I know this may sound crazy but I want to test my concept of non-sorting feature extracting search algorithm for any data structure wherein my main problem is how to transform information to be stored into memory location of where it was stored.

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  • Can reducing index length in Javascript associative array save memory

    - by d777
    I am trying to build a large Associative Array in JavaScript (22,000 elements). Do I need to worry about the length of the indices with regards to memory usage? In other words, which of the following options saves memory? or are they the same in memory consumption? Option 1: var student = new Array(); for (i=0; i<22000; i++) student[i] = { "studentName": token[0], "studentMarks": token[1], "studentDOB": token[2] }; Option 2: var student = new Array(); for (i=0; i<22000; i++) student[i] = { "n": token[0], "m": token[1], "d": token[2] }; I tried to test this on Google Chrome DevTools, but the numbers are inconsistent to make a decision. My best guess is that because the Array indices repeat, the browser can optimize memory usage by not repeating them for each student[i], but that is just a guess. Thanks.

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  • Daemon Tools Lite Error- Unable to add adapter

    - by Lirik
    I just got a ThinkPad T510 with Windows 7 Professional and I installed Daemon Tools Lite, but I keep getting an error when I run it: Unable to add adapter. I tried starting it as an administrator, but I got the same problem. Does anybody know how to fix this?

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  • apache eats up too much ram per child

    - by mrc4r7m4n
    Hello to everyone. I've got fallowing problem: Apache eat to many ram per child. The fallowing comments shows: cat /etc/redhat-release -- Fedora release 8 (Werewolf) free -m: total used free shared buffers cached Mem: 3566 3136 429 0 339 1907 -/+ buffers/cache: 889 2676 Swap: 4322 0 4322 I know that you will say that there is nothing to worry about because swap is not use, but i think it's not use for now. 3.httpd -v: Server version: Apache/2.2.14 (Unix) 4.httpd -l: Compiled in modules: core.c mod_authn_file.c mod_authn_default.c mod_authz_host.c mod_authz_groupfile.c mod_authz_user.c mod_authz_default.c mod_auth_basic.c mod_include.c mod_filter.c mod_log_config.c mod_env.c mod_setenvif.c mod_version.c mod_ssl.c prefork.c http_core.c mod_mime.c mod_status.c mod_autoindex.c mod_asis.c mod_cgi.c mod_negotiation.c mod_dir.c mod_actions.c mod_userdir.c mod_alias.c mod_rewrite.c mod_so.c 5.List of loaded dynamic modules: LoadModule authz_host_module modules/mod_authz_host.so LoadModule include_module modules/mod_include.so LoadModule log_config_module modules/mod_log_config.so LoadModule setenvif_module modules/mod_setenvif.so LoadModule mime_module modules/mod_mime.so LoadModule autoindex_module modules/mod_autoindex.so LoadModule vhost_alias_module modules/mod_vhost_alias.so LoadModule negotiation_module modules/mod_negotiation.so LoadModule dir_module modules/mod_dir.so LoadModule alias_module modules/mod_alias.so LoadModule rewrite_module modules/mod_rewrite.so LoadModule proxy_module modules/mod_proxy.so LoadModule cgi_module modules/mod_cgi.so 6.My prefrok directive <IfModule prefork.c> StartServers 8 MinSpareServers 5 MaxSpareServers 25 ServerLimit 80 MaxClients 80 MaxRequestsPerChild 4000 </IfModule> KeepAliveTimeout 6 MaxKeepAliveRequests 100 KeepAlive On 7.top -u apache: ctrl+ M top - 09:19:42 up 2 days, 19 min, 2 users, load average: 0.85, 0.87, 0.80 Tasks: 113 total, 1 running, 112 sleeping, 0 stopped, 0 zombie Cpu(s): 7.3%us, 15.7%sy, 0.0%ni, 75.7%id, 0.0%wa, 0.7%hi, 0.7%si, 0.0%st Mem: 3652120k total, 3149964k used, 502156k free, 348048k buffers Swap: 4425896k total, 0k used, 4425896k free, 1944952k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 16956 apache 20 0 700m 135m 100m S 0.0 3.8 2:16.78 httpd 16953 apache 20 0 565m 130m 96m S 0.0 3.7 1:57.26 httpd 16957 apache 20 0 587m 129m 102m S 0.0 3.6 1:47.41 httpd 16955 apache 20 0 567m 126m 93m S 0.0 3.6 1:43.60 httpd 17494 apache 20 0 626m 125m 96m S 0.0 3.5 1:58.77 httpd 17515 apache 20 0 540m 120m 88m S 0.0 3.4 1:45.57 httpd 17516 apache 20 0 573m 120m 88m S 0.0 3.4 1:50.51 httpd 16954 apache 20 0 551m 120m 88m S 0.0 3.4 1:52.47 httpd 17493 apache 20 0 586m 120m 94m S 0.0 3.4 1:51.02 httpd 17279 apache 20 0 568m 117m 87m S 16.0 3.3 1:51.87 httpd 17302 apache 20 0 560m 116m 90m S 0.3 3.3 1:59.06 httpd 17495 apache 20 0 551m 116m 89m S 0.0 3.3 1:47.51 httpd 17277 apache 20 0 476m 114m 81m S 0.0 3.2 1:37.14 httpd 30097 apache 20 0 536m 113m 83m S 0.0 3.2 1:47.38 httpd 30112 apache 20 0 530m 112m 81m S 0.0 3.2 1:40.15 httpd 17513 apache 20 0 516m 112m 85m S 0.0 3.1 1:43.92 httpd 16958 apache 20 0 554m 111m 82m S 0.0 3.1 1:44.18 httpd 1617 apache 20 0 487m 111m 85m S 0.0 3.1 1:31.67 httpd 16952 apache 20 0 461m 107m 75m S 0.0 3.0 1:13.71 httpd 16951 apache 20 0 462m 103m 76m S 0.0 2.9 1:28.05 httpd 17278 apache 20 0 497m 103m 76m S 0.0 2.9 1:31.25 httpd 17403 apache 20 0 537m 102m 79m S 0.0 2.9 1:52.24 httpd 25081 apache 20 0 412m 101m 70m S 0.0 2.8 1:01.74 httpd I guess thats all information needed to help me solve this problem. I think the virt memory is to big, the same res. The consumption of ram is increasing all the time. Maybe it's memory leak because i see there is so many static modules compiled. Could someone help me with this issue? Thank you in advance. 8.ldd /usr/sbin/httpd linux-gate.so.1 => (0x0012d000) libm.so.6 => /lib/libm.so.6 (0x0012e000) libpcre.so.0 => /lib/libpcre.so.0 (0x00157000) libselinux.so.1 => /lib/libselinux.so.1 (0x0017f000) libaprutil-1.so.0 => /usr/lib/libaprutil-1.so.0 (0x0019a000) libcrypt.so.1 => /lib/libcrypt.so.1 (0x001b4000) libldap-2.3.so.0 => /usr/lib/libldap-2.3.so.0 (0x001e6000) liblber-2.3.so.0 => /usr/lib/liblber-2.3.so.0 (0x00220000) libdb-4.6.so => /lib/libdb-4.6.so (0x0022e000) libexpat.so.1 => /lib/libexpat.so.1 (0x00370000) libapr-1.so.0 => /usr/lib/libapr-1.so.0 (0x00391000) libpthread.so.0 => /lib/libpthread.so.0 (0x003b9000) libdl.so.2 => /lib/libdl.so.2 (0x003d2000) libc.so.6 => /lib/libc.so.6 (0x003d7000) /lib/ld-linux.so.2 (0x00110000) libuuid.so.1 => /lib/libuuid.so.1 (0x00530000) libresolv.so.2 => /lib/libresolv.so.2 (0x00534000) libsasl2.so.2 => /usr/lib/libsasl2.so.2 (0x00548000) libssl.so.6 => /lib/libssl.so.6 (0x00561000) libcrypto.so.6 => /lib/libcrypto.so.6 (0x005a6000) libgssapi_krb5.so.2 => /usr/lib/libgssapi_krb5.so.2 (0x006d9000) libkrb5.so.3 => /usr/lib/libkrb5.so.3 (0x00707000) libcom_err.so.2 => /lib/libcom_err.so.2 (0x0079a000) libk5crypto.so.3 => /usr/lib/libk5crypto.so.3 (0x0079d000) libz.so.1 => /lib/libz.so.1 (0x007c3000) libkrb5support.so.0 => /usr/lib/libkrb5support.so.0 (0x007d6000) libkeyutils.so.1 => /lib/libkeyutils.so.1 (0x007df000) Currently i cant restart the apache. I work in a company and now there is rush hours. I will do that about 5 pm. Current top -u apache: shift + M top - 12:31:33 up 2 days, 3:30, 1 user, load average: 0.73, 0.80, 0.79 Tasks: 114 total, 1 running, 113 sleeping, 0 stopped, 0 zombie Cpu(s): 3.3%us, 4.7%sy, 0.0%ni, 90.0%id, 1.3%wa, 0.3%hi, 0.3%si, 0.0%st Mem: 3652120k total, 3169720k used, 482400k free, 353372k buffers Swap: 4425896k total, 0k used, 4425896k free, 1978688k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 16957 apache 20 0 708m 145m 117m S 0.0 4.1 2:11.32 httpd 16956 apache 20 0 754m 142m 107m S 0.0 4.0 2:33.94 httpd 16955 apache 20 0 641m 136m 103m S 5.3 3.8 1:58.37 httpd 17515 apache 20 0 624m 131m 99m S 0.0 3.7 2:03.90 httpd 16954 apache 20 0 627m 130m 98m S 0.0 3.6 2:13.87 httpd 17302 apache 20 0 625m 124m 97m S 0.0 3.5 2:10.80 httpd 17403 apache 20 0 624m 114m 91m S 0.0 3.2 2:08.85 httpd 16952 apache 20 0 502m 114m 81m S 0.0 3.2 1:23.78 httpd 16186 apache 20 0 138m 61m 35m S 0.0 1.7 0:15.54 httpd 16169 apache 20 0 111m 49m 17m S 0.0 1.4 0:06.00 httpd 16190 apache 20 0 126m 48m 24m S 0.0 1.4 0:11.44 httpd 16191 apache 20 0 109m 48m 19m S 0.0 1.4 0:04.62 httpd 16163 apache 20 0 114m 48m 21m S 0.0 1.4 0:09.60 httpd 16183 apache 20 0 127m 48m 23m S 0.0 1.3 0:11.23 httpd 16189 apache 20 0 109m 47m 17m S 0.0 1.3 0:04.55 httpd 16201 apache 20 0 106m 47m 17m S 0.0 1.3 0:03.90 httpd 16193 apache 20 0 103m 46m 20m S 0.0 1.3 0:10.76 httpd 16188 apache 20 0 107m 45m 18m S 0.0 1.3 0:04.85 httpd 16168 apache 20 0 103m 44m 17m S 0.0 1.2 0:05.61 httpd 16187 apache 20 0 118m 41m 21m S 0.0 1.2 0:08.50 httpd 16184 apache 20 0 111m 41m 19m S 0.0 1.2 0:09.28 httpd 16206 apache 20 0 110m 41m 20m S 0.0 1.2 0:11.69 httpd 16199 apache 20 0 108m 40m 17m S 0.0 1.1 0:07.76 httpd 16166 apache 20 0 104m 37m 18m S 0.0 1.0 0:04.31 httpd 16185 apache 20 0 99.3m 36m 16m S 0.0 1.0 0:04.16 httpd as you can see the memory usage growing up from e.g. res( 135 to 145)m and it will be growing up till memory ends. Are you sure that this option i set up: <IfModule prefork.c> StartServers 8 MinSpareServers 5 MaxSpareServers 25 ServerLimit 80 MaxClients 80 MaxRequestsPerChild 4000 </IfModule> KeepAliveTimeout 6 MaxKeepAliveRequests 100 KeepAlive On are correct? Maybe i should decrease some of them? Another questions that bother me: I got e.g. static module mod_negotiation.c compiled into apache and the same module loaded as dynamic. Is this normal that i've loaded duplicated module. But when i want to remove dynamic module(mod_negotiation.c) from httpd.conf and then restart apache error appears. Now I cant tell this error message because i cant restart apache :( Hello again:) This is memory usage just after restart apache: top - 16:19:12 up 2 days, 7:18, 3 users, load average: 1.08, 0.91, 0.91 Tasks: 109 total, 2 running, 107 sleeping, 0 stopped, 0 zombie Cpu(s): 17.0%us, 25.7%sy, 51.0%ni, 4.7%id, 0.0%wa, 0.3%hi, 1.3%si, 0.0%st Mem: 3652120k total, 2762516k used, 889604k free, 361552k buffers Swap: 4425896k total, 0k used, 4425896k free, 2020980k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 13569 apache 20 0 93416 43m 15m S 0.0 1.2 0:02.55 httpd 13575 apache 20 0 98356 38m 16m S 32.3 1.1 0:02.55 httpd 13571 apache 20 0 86808 33m 12m S 0.0 0.9 0:02.60 httpd 13568 apache 20 0 86760 33m 12m S 0.0 0.9 0:00.81 httpd 13570 apache 20 0 83480 33m 12m S 0.0 0.9 0:00.51 httpd 13572 apache 20 0 63520 5916 1548 S 0.0 0.2 0:00.02 httpd 13573 apache 20 0 63520 5916 1548 S 0.0 0.2 0:00.02 httpd 13574 apache 20 0 63520 5916 1548 S 0.0 0.2 0:00.02 httpd 13761 apache 20 0 63388 5128 860 S 0.0 0.1 0:00.01 httpd 13762 apache 20 0 63388 5128 860 S 0.0 0.1 0:00.01 httpd 13763 apache 20 0 63388 5128 860 S 0.0 0.1 0:00.00 httpd I will try to compile apache from source to newest version. Thx for help guys.

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  • Very large database, very small portion most being retrieved in real time

    - by mingyeow
    Hi folks, I have an interesting database problem. I have a DB that is 150GB in size. My memory buffer is 8GB. Most of my data is rarely being retrieved, or mainly being retrieved by backend processes. I would very much prefer to keep them around because some features require them. Some of it (namely some tables, and some identifiable parts of certain tables) are used very often in a user facing manner How can I make sure that the latter is always being kept in memory? (there is more than enough space for these) More info: We are on Ruby on rails. The database is MYSQL, our tables are stored using INNODB. We are sharding the data across 2 partitions. Because we are sharding it, we store most of our data using JSON blobs, while indexing only the primary keys

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    I have a linux VPS which has 256 MB of memory (free only finds 248 though). However it seems I still have 85 MB free, but it's swapping for 255 MB. Why is this? free -m total used free shared buffers cached Mem: 248 245 3 0 41 40 -/+ buffers/cache: 163 85 Swap: 1971 255 1716

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    - by Pat. Mitchell
    I plan to install a 500GB drive in my notebook (HP dv2613tu/1.5gHz/4MB RAM) and need advice about optimum size and number of partitions to create. Ideally looking for the following: OS (Windows 7 Ultimate) Swap file Applications Data ??? As a long time Mac user I'm not nearly as informed about Windows. I could leave everything as a single partition, but am seeking maximum performance and efficiency from my system (which won't be changing anytime soon). So, would separate partitions help with this aim? And given my usual habit of accumulating stuff, I want to reserve most space for Applications and Data. I've also set myself a project over the next couple of years of digitizing the whole of my 35 y.o. collection of slides and photographs from my travelling days. Thanks. Pat. Mitchell

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