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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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  • Random Complete System Unresponsiveness Running Mathematical Functions

    - by Computer Guru
    I have a program that loads a file (anywhere from 10MB to 5GB) a chunk at a time (ReadFile), and for each chunk performs a set of mathematical operations (basically calculates the hash). After calculating the hash, it stores info about the chunk in an STL map (basically <chunkID, hash>) and then writes the chunk itself to another file (WriteFile). That's all it does. This program will cause certain PCs to choke and die. The mouse begins to stutter, the task manager takes 2 min to show, ctrl+alt+del is unresponsive, running programs are slow.... the works. I've done literally everything I can think of to optimize the program, and have triple-checked all objects. What I've done: Tried different (less intensive) hashing algorithms. Switched all allocations to nedmalloc instead of the default new operator Switched from stl::map to unordered_set, found the performance to still be abysmal, so I switched again to Google's dense_hash_map. Converted all objects to store pointers to objects instead of the objects themselves. Caching all Read and Write operations. Instead of reading a 16k chunk of the file and performing the math on it, I read 4MB into a buffer and read 16k chunks from there instead. Same for all write operations - they are coalesced into 4MB blocks before being written to disk. Run extensive profiling with Visual Studio 2010, AMD Code Analyst, and perfmon. Set the thread priority to THREAD_MODE_BACKGROUND_BEGIN Set the thread priority to THREAD_PRIORITY_IDLE Added a Sleep(100) call after every loop. Even after all this, the application still results in a system-wide hang on certain machines under certain circumstances. Perfmon and Process Explorer show minimal CPU usage (with the sleep), no constant reads/writes from disk, few hard pagefaults (and only ~30k pagefaults in the lifetime of the application on a 5GB input file), little virtual memory (never more than 150MB), no leaked handles, no memory leaks. The machines I've tested it on run Windows XP - Windows 7, x86 and x64 versions included. None have less than 2GB RAM, though the problem is always exacerbated under lower memory conditions. I'm at a loss as to what to do next. I don't know what's causing it - I'm torn between CPU or Memory as the culprit. CPU because without the sleep and under different thread priorities the system performances changes noticeably. Memory because there's a huge difference in how often the issue occurs when using unordered_set vs Google's dense_hash_map. What's really weird? Obviously, the NT kernel design is supposed to prevent this sort of behavior from ever occurring (a user-mode application driving the system to this sort of extreme poor performance!?)..... but when I compile the code and run it on OS X or Linux (it's fairly standard C++ throughout) it performs excellently even on poor machines with little RAM and weaker CPUs. What am I supposed to do next? How do I know what the hell it is that Windows is doing behind the scenes that's killing system performance, when all the indicators are that the application itself isn't doing anything extreme? Any advice would be most welcome.

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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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  • 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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  • 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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  • 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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  • What are the practical differences between an IP address and a server?

    - by JMC Creative
    My understanding of IPs and other DNS-type server-related issues really falls short (read: exteme noob). I know a dedicated server would increase speed. What, if any, difference in speed would a dedicated IP make? Am I correct in understanding the Best Practices from Yahoo that I could use the second IP to serve up some content, which would increase the number of parallel downloads for the user? Or are both IPs (purchase from same hosting account) going to point to the same server? Or how does it work? Are there other optimization things I should be aware of when thinking of purchasing a dedicated IP? Clarification I am talking about the speed of serving the webpages, i.e. the speed of my website. Yes, I know that IP and server are completely different, not even opposites, just different. But this, indeed, is my question! The Question Reformulated: Will having a second (dedicated) IP on my website speed up the time that it will load and display for the user? Or does that have nothing at all to do with IP, and is only a server issue? I'm sorry if this is still unclear. This is a real question though, I may just not be wording it well.

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  • .NET Runtime Optimization Service

    - by Velika
    I see that the Service ".NET Runtime Optimization Service v2.0.50727_X86" is disabled C:\WINDOWS\Microsoft.NET\Framework\v2.0.50727\mscorsvw.exe I guess I probably did that, not sure. Do I need it/Should it be running?

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  • Blit Queue Optimization Algorithm

    - by martona
    I'm looking to implement a module that manages a blit queue. There's a single surface, and portions of this surface (bounded by rectangles) are copied to elsewhere within the surface: add_blt(rect src, point dst); There can be any number of operations posted, in order, to the queue. Eventually the user of the queue will stop posting blits, and ask for an optimal set of operations to actually perform on the surface. The task of the module is to ensure that no pixel is copied unnecessarily. This gets tricky because of overlaps of course. A blit could re-blit a previously copied pixel. Ideally blit operations would be subdivided in the optimization phase in such a way that every block goes to its final place with a single operation. It's tricky but not impossible to put this together. I'm just trying to not reinvent the wheel. I looked around on the 'net, and the only thing I found was the SDL_BlitPool Library which assumes that the source surface differs from the destination. It also does a lot of grunt work, seemingly unnecessarily: regions and similar building blocks are a given. I'm looking for something higher-level. Of course, I'm not going to look a gift horse in the mouth, and I also don't mind doing actual work... If someone can come forward with a basic idea that makes this problem seem less complex than it does right now, that'd be awesome too. EDIT: Thinking about aaronasterling's answer... could this work? Implement customized region handler code that can maintain metadata for every rectangle it contains. When the region handler splits up a rectangle, it will automatically associate the metadata of this rectangle with the resulting sub-rectangles. When the optimization run starts, create an empty region handled by the above customized code, call this the master region Iterate through the blt queue, and for every entry: Let srcrect be the source rectangle for the blt beng examined Get the intersection of srcrect and master region into temp region Remove temp region from master region, so master region no longer covers temp region Promote srcrect to a region (srcrgn) and subtract temp region from it Offset temp region and srcrgn with the vector of the current blt: their union will cover the destination area of the current blt Add to master region all rects in temp region, retaining the original source metadata (step one of adding the current blt to the master region) Add to master region all rects in srcrgn, adding the source information for the current blt (step two of adding the current blt to the master region) Optimize master region by checking if adjacent sub-rectangles that are merge candidates have the same metadata. Two sub-rectangles are merge candidates if (r1.x1 == r2.x1 && r1.x2 == r2.x2) | (r1.y1 == r2.y1 && r1.y2 == r2.y2). If yes, combine them. Enumerate master region's sub-rectangles. Every rectangle returned is an optimized blt operation destination. The associated metadata is the blt operation`s source.

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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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  • Why isn´t linux using all the available memory

    - by Devator
    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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  • kmemsize problems in VPS even when there is about 500MB free mem

    - by Amer
    Hello, I have a site hosted on a Plesk VPS with 512MB memory and keep on getting kmemsize in "black zone" QoS errors. The soft limit of kmemsize is 12,288,832 and hard limit is 13,517,715. The definition Virtuozzo gives is: Size of unswappable memory, allocated by the operating system kernel. What's eating up the kmemsize? Is there any way to reconfigure and increase the kmemsize? The servers barely have any load or processing. Thanks for the help...

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  • CentOS only detecting 50% of ram

    - by Devator
    I have 16GB ram in my machine. Before, free -m outputted the normal 16 GB ram, however now (after a reboot) it only detects 8 GB ram. Is one ram module damaged? grep -i memory /var/log/dmesg outputs Memory: 15621184k/16017200k available (2535k kernel code, 387120k reserved, 1748k data, 196k init). (Which looks like 16 GB to me). Free -m outputs: total used free shared buffers cached Mem: 7484 7415 68 0 6104 524 -/+ buffers/cache: 786 6697 Swap: 2055 0 2054 Anything I might be missing? Thanks in advance.

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  • Why does my computer slow down after being on too long?

    - by RoboShop
    I'm sure everyone has experienced it - if you leave a computer on too long, every once in a while, it needs a fresh reboot. I have a laptop, and I only hibernate it, but every week or two, I'm going to need to restart otherwise it will just slow down (usually when windows update makes me restart) I was wondering though... why? What are some of the things that occur that eat up memory that can seemingly not be freed unless I reboot the OS. In addition, are there any programs I can get that can free up this memory and keep the computer alive for longer? Preferably for windows 7.

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  • Monitor RAM usage on CentOS and restart Apache at a certain usage

    - by Chris
    Hi, I'm running a CentOS 5.3 server with a basic LAMP stack. I've optimized LAMP and my code to run efficiently as possible, but Apache has a memory leak somewhere that kills my server every hour or so. What is the best way to write a script that will monitor the memory usage and if it peaks over, say, 450MB kill all the Apache processes and restart Apache. I know C++/PHP and basic Linux server administration but I'm not familiar with Perl or bash scripting. I'd be open to learn any solutions, though, as a temporary solution while I find the issue.

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  • Mac OS X web server memory depletion issues

    - by Ali
    I have a Mac mini ram 4GB setup as a web server which has low traffic - it is running single WordPress instance and a forum. Why is available memory dropping to ~20MB after a while, bringing the whole server down? I see httpd processes climbing more and more, and the only thing I can do is to restart the server and everything will work fine again. Anybody with the same issues to share their thought about this?

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  • CPU, Memory, Network, IO resources are under utilized when I tried various JMeter load testing

    - by Jaiganesh
    CPU, Memory, Network, IO resources are under utilized when I tried various JMeter load testing. I have given below the details. Hardware: 1 Core with 2 GB RAM OS: Ubuntu 12.04 LTS Server Edition Application: PHP (using JQuery, Ajax) JMeter Parameters: 10, 20, 30, 40 Hits per minute 220 Test Cases per hit 2.03 MB per hit I am not clear, why these resources are under utilized. Please help me to resolve this.

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  • Run script when a specific disk/memory card is mounted under OSX

    - by Max Rydahl Andersen
    How do I run a script when a drive is mounted under OSX ? My usecase is that I would like to automatically copy images from my USB memory/harddrive when it is inserted in my USB card reader, and when a DVD or CD is inserted I would like to copy it for storage in my media center. I've tried using Marcopolo but from what I can see it can only detect the presence of a certain USB device, not the presence of specific harddrive. (http://superuser.com/questions/65127/is-it-possible-to-run-an-automator-workflow-when-a-usb-device-is-connected)

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  • PostgreSQL 8.4 - Tablespace Optimization

    - by FloE
    I'm currently running a PostgreSQL Database with about 1.5 billion rows / 500 GB of data (including indices). There are several schemata: on for the (read only, irregular changes / updates) 'core-model' and one for every user (about 20 persons). The users can access the core and store data in their own schema, so everything is located in one database. The server runs with CentOS and PostgreSQL 8.4 and is used for scientific studies, exploration etc and is running quite well. These days an upgrade of the DB storage hard disks arrive - all with the same performance as the old ones. I'm looking for the best way to distribute the data on these disks. It would be possible to separate frequently used objects (the core-data) from the user schemata, but I'm not sure if this is really worth the effort. It seems to be a much better idea to move the WAL files (pg_xlog directory) to its own partition. http://www.postgresql.org/docs/8.4/static/wal-internals.html What are your opinions? Are there any tablespace- or partitioning-related performance documentations / benchmarks?

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