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  • Impact of Multiple .ToUpper()'ing

    - by Kyle Rozendo
    Hi All, This is not a question of premature optimization per se. On the garbage collector and memory in general, what would hundreds of ToUpper() operations (many could be duplicated) do to a program, mainly in regard to the immutability of strings? Thanks, Kyle

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  • Decompressing a very large serialized object and managing memory

    - by Mike_G
    I have an object that contains tons of data used for reports. In order to get this object from the server to the client I first serialize the object in a memory stream, then compress it using the Gzip stream of .NET. I then send the compressed object as a byte[] to the client. The problem is on some clients, when they get the byte[] and try to decompress and deserialize the object, a System.OutOfMemory exception is thrown. Ive read that this exception can be caused by new() a bunch of objects, or holding on to a bunch of strings. Both of these are happening during the deserialization process. So my question is: How do I prevent the exception (any good strategies)? The client needs all of the data, and ive trimmed down the number of strings as much as i can. edit: here is the code i am using to serialize/compress (implemented as extension methods) public static byte[] SerializeObject<T>(this object obj, T serializer) where T: XmlObjectSerializer { Type t = obj.GetType(); if (!Attribute.IsDefined(t, typeof(DataContractAttribute))) return null; byte[] initialBytes; using (MemoryStream stream = new MemoryStream()) { serializer.WriteObject(stream, obj); initialBytes = stream.ToArray(); } return initialBytes; } public static byte[] CompressObject<T>(this object obj, T serializer) where T : XmlObjectSerializer { Type t = obj.GetType(); if(!Attribute.IsDefined(t, typeof(DataContractAttribute))) return null; byte[] initialBytes = obj.SerializeObject(serializer); byte[] compressedBytes; using (MemoryStream stream = new MemoryStream(initialBytes)) { using (MemoryStream output = new MemoryStream()) { using (GZipStream zipper = new GZipStream(output, CompressionMode.Compress)) { Pump(stream, zipper); } compressedBytes = output.ToArray(); } } return compressedBytes; } internal static void Pump(Stream input, Stream output) { byte[] bytes = new byte[4096]; int n; while ((n = input.Read(bytes, 0, bytes.Length)) != 0) { output.Write(bytes, 0, n); } } And here is my code for decompress/deserialize: public static T DeSerializeObject<T,TU>(this byte[] serializedObject, TU deserializer) where TU: XmlObjectSerializer { using (MemoryStream stream = new MemoryStream(serializedObject)) { return (T)deserializer.ReadObject(stream); } } public static T DecompressObject<T, TU>(this byte[] compressedBytes, TU deserializer) where TU: XmlObjectSerializer { byte[] decompressedBytes; using(MemoryStream stream = new MemoryStream(compressedBytes)) { using(MemoryStream output = new MemoryStream()) { using(GZipStream zipper = new GZipStream(stream, CompressionMode.Decompress)) { ObjectExtensions.Pump(zipper, output); } decompressedBytes = output.ToArray(); } } return decompressedBytes.DeSerializeObject<T, TU>(deserializer); } The object that I am passing is a wrapper object, it just contains all the relevant objects that hold the data. The number of objects can be a lot (depending on the reports date range), but ive seen as many as 25k strings. One thing i did forget to mention is I am using WCF, and since the inner objects are passed individually through other WCF calls, I am using the DataContract serializer, and all my objects are marked with the DataContract attribute.

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  • How efficient is Python substring extraction?

    - by Cameron
    I've got the entire contents of a text file (at least a few KB) in string myStr. Will the following code create a copy of the string (less the first character) in memory? myStr = myStr[1:] I'm hoping it just refers to a different location in the same internal buffer. If not, is there a more efficient way to do this? Thanks! Note: I'm using Python 2.5.

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  • .net 4.0 creating a MemoryMappedFile with global context throws exception

    - by Christoph
    Hi all, I want to create a global MemoryMappedFile in C# 4.0 using following call: string MemoryMappedFileName = "Global\\20E9C857-C944-4C35-B937-A5941034D073"; ioBuffer = MemoryMappedFile.CreateNew(MemoryMappedFileName, totalIoBufferSize); This always throws following exception "System.UnauthorizedAccessException: Access to the path is denied." If I remove the "Global\" identifier from the memorymapped filename it works but I need a memory mapped file existing accross terminal sessions. thanks, Christoph

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  • In C, do braces act as a stack frame?

    - by Claudiu
    If I create a variable within a new set of curly braces, is that variable popped off the stack on the closing brace, or does it hang out until the end of the function? For example: void foo() { int c[100]; { int d[200]; } //code that takes a while return; } Will d be taking up memory during the code that takes a while section?

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  • Threading in python: retrieve return value when using target=

    - by Philipp Keller
    I want to get the "free memory" of a bunch of servers like this: def get_mem(servername): res = os.popen('ssh %s "grep MemFree /proc/meminfo | sed \'s/[^0-9]//g\'"' % servername) return res.read().strip() since this can be threaded I want to do something like that: import threading thread1 = threading.Thread(target=get_mem, args=("server01", )) thread1.start() But now: how can I access the return value(s) of the get_mem functions? Do I really need to go the full fledged way creating a class MemThread(threading.Thread) and overwriting __init__ and __run__?

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  • wx paste image into panel

    - by Moayyad Yaghi
    hello i need to find a way to copy an image from a software .. ( microsoft paint for example ) and paste it into my own pain tool that i made using wxpython .. how do i read the image that has been loaded into memory ? so i can paste it hope idea is clear enough thanks in advance

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  • Python: How efficient is subtring extraction?

    - by Cameron
    I've got the entire contents of a text file (at least a few KB) in string myStr. Will the following code create a copy of the string (less the first character) in memory? myStr = myStr[1:] I'm hoping it just refers to a different location in the same internal buffer. If not, is there a more efficient way to do this? Thanks!

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  • iPhone - database reading method and memory leaks

    - by Do8821
    Hi, in my application, a RSS reader, I get memory leaks that I can't fix because I can't understand from where they come from. Here is the code pointed out by Instruments. -(void) readArticlesFromDatabase { [self setDatabaseInfo]; sqlite3 *database; articles = [[NSMutableArray alloc] init]; if(sqlite3_open([databasePath UTF8String], &database) == SQLITE_OK) { const char *sqlStatement = "select * from articles"; if(sqlite3_prepare_v2(database, sqlStatement, -1, &compiledStatement, NULL) == SQLITE_OK) { while(sqlite3_step(compiledStatement) == SQLITE_ROW) { NSString *aName = [NSString stringWithUTF8String:(char *)sqlite3_column_text(compiledStatement, 1)]; NSString *aDate = [NSString stringWithUTF8String:(char *)sqlite3_column_text(compiledStatement, 2)]; NSString *aUrl = [NSString stringWithUTF8String:(char *)sqlite3_column_text(compiledStatement, 3)]; NSString *aCategory = [NSString stringWithUTF8String:(char *)sqlite3_column_text(compiledStatement, 4)]; NSString *aAuthor = [NSString stringWithUTF8String:(char *)sqlite3_column_text(compiledStatement, 5)]; NSString *aSummary = [NSString stringWithUTF8String:(char *)sqlite3_column_text(compiledStatement, 6)]; NSMutableString *aContent = [NSMutableString stringWithUTF8String:(char *)sqlite3_column_text(compiledStatement, 7)]; NSString *aNbrComments = [NSString stringWithUTF8String:(char *)sqlite3_column_text(compiledStatement, 8)]; NSString *aCommentsLink = [NSString stringWithUTF8String:(char *)sqlite3_column_text(compiledStatement, 9)]; NSString *aPermalink = [NSString stringWithUTF8String:(char *)sqlite3_column_text(compiledStatement, 11)]; [aContent replaceCharactersInRange: [aContent rangeOfString: @"http://www.mywebsite.com/img/action-on.gif"] withString: @"hellocoton-action-on.gif"]; [aContent replaceCharactersInRange: [aContent rangeOfString: @"hhttp://www.mywebsite.com/img/action-on-h.gif"] withString: @"hellocoton-action-on-h.gif"]; [aContent replaceCharactersInRange: [aContent rangeOfString: @"hthttp://www.mywebsite.com/img/hellocoton.gif"] withString: @"hellocoton-hellocoton.gif"]; NSString *imageURLBrut = [self parseArticleForImages:aContent]; NSString *imageURLCache = [imageURLBrut stringByReplacingOccurrencesOfString:@":" withString:@"_"]; imageURLCache = [imageURLCache stringByReplacingOccurrencesOfString:@"/" withString:@"_"]; imageURLCache = [imageURLCache stringByReplacingOccurrencesOfString:@" " withString:@"_"]; NSString *uniquePath = [tmp stringByAppendingPathComponent: imageURLCache]; if([[NSFileManager defaultManager] fileExistsAtPath: uniquePath]) { imageURLCache = [@"../tmp/" stringByAppendingString: imageURLCache]; [aContent replaceCharactersInRange: [aContent rangeOfString: imageURLBrut ] withString: imageURLCache]; } Article *article = [[Article alloc] initWithName:aName date:aDate url:aUrl category:aCategory author:aAuthor summary:aSummary content:aContent commentsNbr:aNbrComments commentsLink:aCommentsLink commentsRSS:@"" enclosure:aPermalink enclosure2:@"" enclosure3:@""]; [articles addObject:article]; article = nil; [article release]; } } sqlite3_finalize(compiledStatement); } sqlite3_close(database); } ` I have a lot of "Article" leaked and NSString matching with these using : [NSString stringWithUTF8String:(char *)sqlite3_column_text(compiledStatement, X)]; I tried a lot of different code I always have these leaks. Anyone has got an idea to help me?

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  • Serious Memory Clash: Variables clashing in C

    - by Soham
    int main(int argc, char*argv[]) { Message* newMessage; Asset* Check; //manipulation and initialization of Check, so that it holds proper values. newMessage = parser("N,2376,01/02/2011 09:15:01.342,JPASSOCIAT FUTSTK 24FEB2011,B,84.05,2000,0,0",newMessage); // MessageProcess(newMessage,AssetMap); printf("LAST TRADE ADDRESS %p LAST TRADE TIME %s\n",Check->TradeBook,Check->Time); } Message* parser(char *message,Message* new_Message) { char a[9][256]; char* tmp =message; bool inQuote=0; int counter=0; int counter2=0; new_Message = (Message*)malloc(sizeof(Message)); while(*tmp!='\0') { switch(*tmp) { case ',': if(!inQuote) { a[counter][counter2]='\0'; counter++; counter2=0; } break; case '"': inQuote=!inQuote; break; default: a[counter][counter2]=*tmp; counter2++; break; } tmp++; } a[counter][counter2]='\0'; new_Message->type = *a[0]; new_Message->Time = &a[2][11]; new_Message->asset = a[3]; if(*a[4]=='S') new_Message->BS = 0; else new_Message->BS = 1; new_Message->price1=atof(a[5]); new_Message->shares1=atol(a[6]); new_Message->price2=atof(a[7]); new_Message->shares2=atol(a[8]); new_Message->idNum = atoi(a[1]); return(new_Message); } Here there is a serious memory clash, in two variables of different scope. I have investigated using gdb and it seems the address of new_Message->Time is equalling to the address of Check->Time. They both are structures of different types I am trying to resolve this issue, because, when parser changes the value of new_Message->Time it manipulates the contents of Check-Time Please do suggest how to solve this problem. I have lost(spent) around 10 hours and counting to resolve this issue, and tons of hair. Soham

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  • Choosing a distributed shared memory solution

    - by mindas
    I have a task to build a prototype for a massively scalable distributed shared memory (DSM) app. The prototype would only serve as a proof-of-concept, but I want to spend my time most effectively by picking the components which would be used in the real solution later on. The aim of this solution is to take data input from an external source, churn it and make the result available for a number of frontends. Those "frontends" would just take the data from the cache and serve it without extra processing. The amount of frontend hits on this data can literally be millions per second. The data itself is very volatile; it can (and does) change quite rapidly. However the frontends should see "old" data until the newest has been processed and cached. The processing and writing is done by a single (redundant) node while other nodes only read the data. In other words: no read-through behaviour. I was looking into solutions like memcached however this particular one doesn't fulfil all our requirements which are listed below: The solution must at least have Java client API which is reasonably well maintained as the rest of app is written in Java and we are seasoned Java developers; The solution must be totally elastic: it should be possible to add new nodes without restarting other nodes in the cluster; The solution must be able to handle failover. Yes, I realize this means some overhead, but the overall served data size isn't big (1G max) so this shouldn't be a problem. By "failover" I mean seamless execution without hardcoding/changing server IP address(es) like in memcached clients when a node goes down; Ideally it should be possible to specify the degree of data overlapping (e.g. how many copies of the same data should be stored in the DSM cluster); There is no need to permanently store all the data but there might be a need of post-processing of some of the data (e.g. serialization to the DB). Price. Obviously we prefer free/open source but we're happy to pay a reasonable amount if a solution is worth it. In any way, paid 24hr/day support contract is a must. The whole thing has to be hosted in our data centers so SaaS offerings like Amazon SimpleDB are out of scope. We would only consider this if no other options would be available. Ideally the solution would be strictly consistent (as in CAP); however, eventual consistence can be considered as an option. Thanks in advance for any ideas.

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  • How can a 1Gb Java heap on a 64bit machine use 3Gb of VIRT space?

    - by Graeme Moss
    I run the same process on a 32bit machine as on a 64bit machine with the same memory VM settings (-Xms1024m -Xmx1024m) and similar VM version (1.6.0_05 vs 1.6.0_16). However the virtual space used by the 64bit machine (as shown in top under "VIRT") is almost three times as big as that in 32bit! I know 64bit VMs will use a little more memory for the larger references, but how can it be three times as big? Am I reading VIRT in top incorrectly? Full data shown below, showing top and then the result of jmap -heap, first for 64bit, then for 32bit. Note the VIRT for 64bit is 3319m for 32bit is 1220m. * 64bit * PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 22534 agent 20 0 3319m 163m 14m S 4.7 2.0 0:04.28 java $ jmap -heap 22534 Attaching to process ID 22534, please wait... Debugger attached successfully. Server compiler detected. JVM version is 10.0-b19 using thread-local object allocation. Parallel GC with 4 thread(s) Heap Configuration: MinHeapFreeRatio = 40 MaxHeapFreeRatio = 70 MaxHeapSize = 1073741824 (1024.0MB) NewSize = 2686976 (2.5625MB) MaxNewSize = -65536 (-0.0625MB) OldSize = 5439488 (5.1875MB) NewRatio = 2 SurvivorRatio = 8 PermSize = 21757952 (20.75MB) MaxPermSize = 88080384 (84.0MB) Heap Usage: PS Young Generation Eden Space: capacity = 268500992 (256.0625MB) used = 247066968 (235.62142181396484MB) free = 21434024 (20.441078186035156MB) 92.01715277089181% used From Space: capacity = 44695552 (42.625MB) used = 0 (0.0MB) free = 44695552 (42.625MB) 0.0% used To Space: capacity = 44695552 (42.625MB) used = 0 (0.0MB) free = 44695552 (42.625MB) 0.0% used PS Old Generation capacity = 715849728 (682.6875MB) used = 0 (0.0MB) free = 715849728 (682.6875MB) 0.0% used PS Perm Generation capacity = 21757952 (20.75MB) used = 16153928 (15.405586242675781MB) free = 5604024 (5.344413757324219MB) 74.24378912132907% used * 32bit * PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 30168 agent 20 0 1220m 175m 12m S 0.0 2.2 0:13.43 java $ jmap -heap 30168 Attaching to process ID 30168, please wait... Debugger attached successfully. Server compiler detected. JVM version is 14.2-b01 using thread-local object allocation. Parallel GC with 8 thread(s) Heap Configuration: MinHeapFreeRatio = 40 MaxHeapFreeRatio = 70 MaxHeapSize = 1073741824 (1024.0MB) NewSize = 1048576 (1.0MB) MaxNewSize = 4294901760 (4095.9375MB) OldSize = 4194304 (4.0MB) NewRatio = 8 SurvivorRatio = 8 PermSize = 16777216 (16.0MB) MaxPermSize = 67108864 (64.0MB) Heap Usage: PS Young Generation Eden Space: capacity = 89522176 (85.375MB) used = 80626352 (76.89128112792969MB) free = 8895824 (8.483718872070312MB) 90.0629940005033% used From Space: capacity = 14876672 (14.1875MB) used = 14876216 (14.187065124511719MB) free = 456 (4.3487548828125E-4MB) 99.99693479832048% used To Space: capacity = 14876672 (14.1875MB) used = 0 (0.0MB) free = 14876672 (14.1875MB) 0.0% used PS Old Generation capacity = 954466304 (910.25MB) used = 10598496 (10.107513427734375MB) free = 943867808 (900.1424865722656MB) 1.1104107034039412% used PS Perm Generation capacity = 16777216 (16.0MB) used = 11366448 (10.839889526367188MB) free = 5410768 (5.1601104736328125MB) 67.74930953979492% used

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  • Python large variable RAM useage

    - by PPTim
    Hi, Say there is a dict variable that grows very large during runtime- up into millions of key:value pairs. Does this variable get stored in RAM,effectively using up all the available memory and slowing down the rest of the system? Asking the interpreter to display the entire dict is a bad idea, but would it be okay as long as one key is accessed at a time? Tim

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  • A strategy to troubleshoot/ fix application crashes in Windows?

    - by Manav Sharma
    All, Over a period of time I have observed that fixing issues related to application crash is a discipline in itself. Some people have this nice way of attacking such problems. Ranging from Viewing the 'Event Viewer' to running Static/ Dynamic memory analysis tools to some of their 'personal favorites', these people have developed this art. Can we share articles/ links/ personal approaches that we use to understand/ troubleshoot/ fix such issues? Thanks

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  • Kernel api's or using api's in the kernel

    - by user513647
    Hello everybody I'd like to know if and how I can access api calls inside the kernel. I need them to preform several integrity checks on a program of mine running in user mode. But I don't know how I can access the api's and funcions required to do so. Does anybody know how to obtain the process id of my user mode proces? and how to access all it's memory to preform the check? Thanks in advance ps: My I'm on a windows xp machine

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  • operator "new" returning a non-local heap pointer for only one class ?

    - by KaluSingh Gabbar
    Language : C++ Platform : Windows Server 2003 I have an exe calling a DLL, in which when I allocate (new) the memory for class A (which is in DLL) it returns me a non-local heap pointer. I try to new other classes which are in DLL and "new" returns a valid heap pointer for them, its only Class A which is not being allocated properly. I am on windows and validating the heap by this function call : _CrtIsValidHeapPointer ( (const void *) pPtr ) I am seriously confused why this only happens with new-ing Class A and no other class ? (All Native Code)

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