Search Results

Search found 25996 results on 1040 pages for 'memory address'.

Page 146/1040 | < Previous Page | 142 143 144 145 146 147 148 149 150 151 152 153  | Next Page >

  • Rails 3 memory issue

    - by Erik
    Hello! I'm developing a new site based on Ruby on Rails 3 beta. I knew this might be a bad idea considering it's just beta, but I still thought it might work. Now though I'm having HUGE problems with Rails consuming huge ammounts of memory. For my application today it consumes about 10 mb per request and it doesn't seem to release it either. So I thought this might be because of bloat in my application and thus I created a test app just to compare. For my test app I just generated a model with a scaffold and then created about 20 records on this model. I then went to the index page and hit refresh and I could immediately see memory taking off! Less than my app but still about 1-3 mb per request. I'm working in OSX Leopard, with Ruby 1.8.7, Rails 3.0.0.beta and a SQLLite db for development. Does anyone recognize my problem? I would really appreciate some help here. :/ Thanks!

    Read the article

  • Storing PLSQL stored-procedure values in Oracle memory caches for extended periods

    - by Ira Baxter
    I am collecting runtime profiling data from PLSQL stored procedures. The data is collected as certain stored procedures execute, but it needs to accumululate across multiple executions of those procedures. To minimize overhead, I'd like to store that profiling data in some PLSQL-accessable Oracle memory-resident storage somewhere for the duration of the data collection interval, and then dump out the accumulated values. The data collection interval might be seconds or hours; its ok not to store this data across system boots. Something like session state in web servers would do. What are my choices for storing such data? The only method I know about are contexts in dbms_sessions: procedure set_ctx (value in varchar8) as begin dbms_session.set_context ( 'Test_Ctx', 'AccumulatedValue', value, NULL, 'ProfilerSessionId' ); end set_ctx; This works, but takes some 50 milliseconds(!) per update to the accumulated value. What I'm hoping for is a way to access/store an array of values in some Oracle memory using vanilla PLSQL statements, with access times typical of array accesses made to package-local arrays.

    Read the article

  • getting memory allocation at ActivityIndicator in Iphone sdk

    - by monish
    Hi Guys, Here Im gettimg memory allocation problem at activity indicator and My code is: - (id)init { if (self = [super init]) { self.title=@"Release Details"; contentView = [[UIView alloc] initWithFrame:[[UIScreen mainScreen] applicationFrame]]; contentView.backgroundColor = [UIColor clearColor]; self.view = contentView; [contentView release]; CGRect frame = CGRectMake(0,0, 320,1500); containerView = [[UIView alloc] initWithFrame:frame]; webView = [ [UIWebView alloc] initWithFrame:[[UIScreen mainScreen] bounds]]; webView.backgroundColor = [UIColor colorWithPatternImage: [UIImage imageNamed:@"background1.png"]]; webView.delegate = self; [containerView addSubview:webView]; CGRect activityViewframe = CGRectMake(20,8,20, 20); progressInd = [[UIActivityIndicatorView alloc] initWithFrame:activityViewframe]; progressInd.activityIndicatorViewStyle = UIActivityIndicatorViewStyleWhite; progressInd.autoresizingMask = (UIViewAutoresizingFlexibleLeftMargin | UIViewAutoresizingFlexibleRightMargin | UIViewAutoresizingFlexibleTopMargin | UIViewAutoresizingFlexibleBottomMargin); [containerView addSubview:progressInd]; [progressInd startAnimating]; progressInd.hidden = NO; [progressInd stopAnimating]; [self.view addSubview:containerView]; isFetch=YES; } return self; } -(void) displayInProgressRightBarButton { UIView* rightBarButtonView = [ [UIView alloc] initWithFrame:CGRectMake(270,5,45, 35)]; [rightBarButtonView addSubview:progressInd]; UIBarButtonItem* buttonItem = [[UIBarButtonItem alloc] initWithCustomView:rightBarButtonView]; self.navigationItem.rightBarButtonItem = buttonItem; [rightBarButtonView release]; [buttonItem release]; } - (void)webViewDidStartLoad:(UIWebView *)webView { [self displayInProgressRightBarButton]; [progressInd startAnimating]; [UIApplication sharedApplication].networkActivityIndicatorVisible = YES; } - (void)webViewDidFinishLoad:(UIWebView *)webView { [progressInd stopAnimating]; [UIApplication sharedApplication].networkActivityIndicatorVisible = NO; } Also I released the progressInd in dealloc eventhough it showing memory allocation at progressInd = [[UIActivityIndicatorView alloc] initWithFrame:activityViewframe]; in init. can anyone help me to solve this. Anyone's help will be much Appreciated. Thank you, Monish.

    Read the article

  • Thread Synchronisation 101

    - by taspeotis
    Previously I've written some very simple multithreaded code, and I've always been aware that at any time there could be a context switch right in the middle of what I'm doing, so I've always guarded access the shared variables through a CCriticalSection class that enters the critical section on construction and leaves it on destruction. I know this is fairly aggressive and I enter and leave critical sections quite frequently and sometimes egregiously (e.g. at the start of a function when I could put the CCriticalSection inside a tighter code block) but my code doesn't crash and it runs fast enough. At work my multithreaded code needs to be a tighter, only locking/synchronising at the lowest level needed. At work I was trying to debug some multithreaded code, and I came across this: EnterCriticalSection(&m_Crit4); m_bSomeVariable = true; LeaveCriticalSection(&m_Crit4); Now, m_bSomeVariable is a Win32 BOOL (not volatile), which as far as I know is defined to be an int, and on x86 reading and writing these values is a single instruction, and since context switches occur on an instruction boundary then there's no need for synchronising this operation with a critical section. I did some more research online to see whether this operation did not need synchronisation, and I came up with two scenarios it did: The CPU implements out of order execution or the second thread is running on a different core and the updated value is not written into RAM for the other core to see; and The int is not 4-byte aligned. I believe number 1 can be solved using the "volatile" keyword. In VS2005 and later the C++ compiler surrounds access to this variable using memory barriers, ensuring that the variable is always completely written/read to the main system memory before using it. Number 2 I cannot verify, I don't know why the byte alignment would make a difference. I don't know the x86 instruction set, but does mov need to be given a 4-byte aligned address? If not do you need to use a combination of instructions? That would introduce the problem. So... QUESTION 1: Does using the "volatile" keyword (implicity using memory barriers and hinting to the compiler not to optimise this code) absolve a programmer from the need to synchronise a 4-byte/8-byte on x86/x64 variable between read/write operations? QUESTION 2: Is there the explicit requirement that the variable be 4-byte/8-byte aligned? I did some more digging into our code and the variables defined in the class: class CExample { private: CRITICAL_SECTION m_Crit1; // Protects variable a CRITICAL_SECTION m_Crit2; // Protects variable b CRITICAL_SECTION m_Crit3; // Protects variable c CRITICAL_SECTION m_Crit4; // Protects variable d // ... }; Now, to me this seems excessive. I thought critical sections synchronised threads between a process, so if you've got one you can enter it and no other thread in that process can execute. There is no need for a critical section for each variable you want to protect, if you're in a critical section then nothing else can interrupt you. I think the only thing that can change the variables from outside a critical section is if the process shares a memory page with another process (can you do that?) and the other process starts to change the values. Mutexes would also help here, named mutexes are shared across processes, or only processes of the same name? QUESTION 3: Is my analysis of critical sections correct, and should this code be rewritten to use mutexes? I have had a look at other synchronisation objects (semaphores and spinlocks), are they better suited here? QUESTION 4: Where are critical sections/mutexes/semaphores/spinlocks best suited? That is, which synchronisation problem should they be applied to. Is there a vast performance penalty for choosing one over the other? And while we're on it, I read that spinlocks should not be used in a single-core multithreaded environment, only a multi-core multithreaded environment. So, QUESTION 5: Is this wrong, or if not, why is it right? Thanks in advance for any responses :)

    Read the article

  • Controlling ASP.NET output cache memory usage

    - by Josh Einstein
    I would like to use output caching with WCF Data Services and although there's nothing specifically built in to support caching, there is an OnStartProcessingRequest method that allows me to hook in and set the cacheability of the request using normal ASP.NET mechanisms. But I am worried about the worker process getting recycled due to excessive memory consumption if large responses are cached. Is there a way to specify an upper limit for the ASP.NET output cache so that if this limit is exceeded, items in the cache will be discarded? I've seen the caching configuration settings but I get the impression from the documentation that this is for explicit caching via the Cache object since there is a separate outputCacheSettings which has no memory-related attributes. Here's a code snippet from Scott Hanselman's post that shows how I'm setting the cacheability of the request. protected override void OnStartProcessingRequest(ProcessRequestArgs args) { base.OnStartProcessingRequest(args); //Cache for a minute based on querystring HttpContext context = HttpContext.Current; HttpCachePolicy c = HttpContext.Current.Response.Cache; c.SetCacheability(HttpCacheability.ServerAndPrivate); c.SetExpires(HttpContext.Current.Timestamp.AddSeconds(60)); c.VaryByHeaders["Accept"] = true; c.VaryByHeaders["Accept-Charset"] = true; c.VaryByHeaders["Accept-Encoding"] = true; c.VaryByParams["*"] = true; }

    Read the article

  • Attempted to read or write protected memory-Sql Compact and .NEt

    - by Jankhana
    I'm using Sql Compact3.5 as my DB with C# .NET . I have a strange problem with my application. I'm running the code in two PC with same configuration except the Sql Compact installed. In one PC where Sql Compact3.5 is not installed I'm getting this strange error: Exception :Attempted to read or write protected memory. This is often an indication that other memory is corrupt. Inner Exception : Stack Trace : at System.Data.SqlServerCe.NativeMethods.CloseStore(IntPtr pSeStore) at System.Data.SqlServerCe.SqlCeConnection.ReleaseNativeInterfaces() at System.Data.SqlServerCe.SqlCeConnection.Dispose(Boolean disposing) at System.Data.SqlServerCe.SqlCeConnection.Finalize() Source : System.Data.SqlServerCe I don't know where i have went wrong. I checked my code and included try catch everywhere. I'm handling Unhandled exception also using this . I am getting this error from a console application which I'm starting from Windows Form. In both the application I've inserted the Unhandled Exception coding and it's getting executed and getting return to the texxt file. But still Microsoft Don't Error Report is getting generated and I get that Dialog box!!! Y still that dialog box is getting generated is the trouble!!! Is there any way to supress that Dialog box??? Y I'm getting this box when I'm handling the exception and it's executing my catch handler??? In another PC where SQL Compact is installed no error I get!!! Any idea y is that so???

    Read the article

  • Attempted to read or write protected memory

    - by Interfector
    I have a sample ASP.NET MVC 3 web application that is following Jonathan McCracken's Test-Drive Asp.NET MVC (great book , by the way) and I have stumbled upon a problem. Note that I'm using MVCContrib, Rhino and NUnit. [Test] public void ShouldSetLoggedInUserToViewBag() { var todoController = new TodoController(); var builder = new TestControllerBuilder(); builder.InitializeController(todoController); builder.HttpContext.User = new GenericPrincipal(new GenericIdentity("John Doe"), null); Assert.That(todoController.Index().AssertViewRendered().ViewData["UserName"], Is.EqualTo("John Doe")); } The code above always throws this error: System.AccessViolationException : Attempted to read or write protected memory. This is often an indication that other memory is corrupt. The controller action code is the following: [HttpGet] public ActionResult Index() { ViewData.Model = Todo.ThingsToBeDone; ViewBag.UserName = HttpContext.User.Identity.Name; return View(); } From what I have figured out, the app seems to crash because of the two assignements in the controller action. However, I cannot see how there are wrong!? Can anyone help me pinpoint the solution to this problem. Thank you.

    Read the article

  • AVAudioPlayer not unloading cached memory after each new allocation

    - by Rob
    I am seeing in Instruments that when I play a sound via the standard "AddMusic" example method that Apple provides, it allocates 32kb of memory via the prepareToPlay call (which references the AudioToolBox framework's Cache_DataSource::ReadBytes function) each time a new player is allocated (i.e. each time a different sound is played). However, that cached data never gets released. This obviously poses a huge problem if it doesn't get released and you have a lot of sound files to play, since it tends to keep allocating memory and eventually crashes if you have enough unique sound files (which I unfortunately do). Have any of you run across this or what am I doing wrong in my code? I've had this issue for a while now and it's really bugging me since my code is verbatim of what Apple's is (I think). How I call the function: - (void)playOnce:(NSString *)aSound { // Gets the file system path to the sound to play. NSString *soundFilePath = [[NSBundle mainBundle] pathForResource:aSound ofType:@"caf"]; // Converts the sound's file path to an NSURL object NSURL *soundURL = [[NSURL alloc] initFileURLWithPath: soundFilePath]; self.soundFileURL = soundURL; [soundURL release]; AVAudioPlayer * newAudio=[[AVAudioPlayer alloc] initWithContentsOfURL: soundFileURL error:nil]; self.theAudio = newAudio; // automatically retain audio and dealloc old file if new m4a file is loaded [newAudio release]; // release the audio safely // this is where the prior cached data never gets released [theAudio prepareToPlay]; // set it up and play [theAudio setNumberOfLoops:0]; [theAudio setVolume: volumeLevel]; [theAudio setDelegate: self]; [theAudio play]; } and then theAudio gets released in the dealloc method of course.

    Read the article

  • Memory problems while code is running (Python, Networkx)

    - by MIN SU PARK
    I made a code for generate a graph with 379613734 edges. But the code couldn't be finished because of memory. It takes about 97% of server memory when it go through 62 million lines. So I killed it. Do you have any idea to solve this problem? My code is like this: import os, sys import time import networkx as nx G = nx.Graph() ptime = time.time() j = 1 for line in open("./US_Health_Links.txt", 'r'): #for line in open("./test_network.txt", 'r'): follower = line.strip().split()[0] followee = line.strip().split()[1] G.add_edge(follower, followee) if j%1000000 == 0: print j*1.0/1000000, "million lines done", time.time() - ptime ptime = time.time() j += 1 DG = G.to_directed() # P = nx.path_graph(DG) Nn_G = G.number_of_nodes() N_CC = nx.number_connected_components(G) LCC = nx.connected_component_subgraphs(G)[0] n_LCC = LCC.nodes() Nn_LCC = LCC.number_of_nodes() inDegree = DG.in_degree() outDegree = DG.out_degree() Density = nx.density(G) # Diameter = nx.diameter(G) # Centrality = nx.betweenness_centrality(PDG, normalized=True, weighted_edges=False) # Clustering = nx.average_clustering(G) print "number of nodes in G\t" + str(Nn_G) + '\n' + "number of CC in G\t" + str(N_CC) + '\n' + "number of nodes in LCC\t" + str(Nn_LCC) + '\n' + "Density of G\t" + str(Density) + '\n' # sys.exit() # j += 1 The edge data is like this: 1000 1001 1000245 1020191 1000 10267352 1000653 10957902 1000 11039092 1000 1118691 10346 11882 1000 1228281 1000 1247041 1000 12965332 121340 13027572 1000 13075072 1000 13183162 1000 13250162 1214 13326292 1000 13452672 1000 13844892 1000 14061830 12340 1406481 1000 14134703 1000 14216951 1000 14254402 12134 14258044 1000 14270791 1000 14278978 12134 14313332 1000 14392970 1000 14441172 1000 14497568 1000 14502775 1000 14595635 1000 14620544 1000 14632615 10234 14680596 1000 14956164 10230 14998341 112000 15132211 1000 15145450 100 15285998 1000 15288974 1000 15300187 1000 1532061 1000 15326300 Lastly, is there anybody who has an experience to analyze Twitter link data? It's quite hard to me to take a directed graph and calculate average/median indegree and outdegree of nodes. Any help or idea?

    Read the article

  • Using memory-based cache together with conventional cache

    - by Industrial
    Hi! Here's the deal. We would have taken the complete static html road to solve performance issues, but since the site will be partially dynamic, this won't work out for us. What we have thought of instead is using memcache + eAccelerator to speed up PHP and take care of caching for the most used data. Here's our two approaches that we have thought of right now: Using memcache on all<< major queries and leaving it alone to do what it does best. Usinc memcache for most commonly retrieved data, and combining with a standard harddrive-stored cache for further usage. The major advantage of only using memcache is of course the performance, but as users increases, the memory usage gets heavy. Combining the two sounds like a more natural approach to us, even though the theoretical compromize in performance. Memcached appears to have some replication features available as well, which may come handy when it's time to increase the nodes. What approach should we use? - Is it stupid to compromize and combine the two methods? Should we insted be focusing on utilizing memcache and instead focusing on upgrading the memory as the load increases with the number of users? Thanks a lot!

    Read the article

  • The instruction at "0x7c910a19" referenced memory at "oxffffffff". The memory could not be "read"

    - by ClareBear
    Hello guys/girls The instruction at "0x7c910a19" referenced memory at "oxffffffff". The memory could not be "read" I have a small issue, I receive the error above before the .vbs terminates. I don't know why this error is thrown. Below is the process of the .vbs file: Call ImportTransactions() Call UpdateTransactions() Function ImportTransactions() Dim objConnection, objCommand, objRecordset, strOracle Dim strSQL, objRecordsetInsert Set objConnection = CreateObject("ADODB.Connection") objConnection.Open "DSN=*****;UID=*****;PWD==*****;" Set objCommand = CreateObject("ADODB.Command") Set objRecordset = CreateObject("ADODB.Recordset") strOracle = "SELECT query here from Oracle database" objCommand.CommandText = strOracle objCommand.CommandType = 1 objCommand.CommandTimeout = 0 Set objCommand.ActiveConnection = objConnection objRecordset.cursorType = 0 objRecordset.cursorlocation = 3 objRecordset.Open objCommand, , 1, 3 If objRecordset.EOF = False Then Do Until objRecordset.EOF = True strSQL = "INSERT query here into SQL database" strSQL = Query(strSQL) Call RunSQL(strSQL, objRecordsetInsert, False, conTimeOut, conServer, conDatabase, conUsername, conPassword) objRecordset.MoveNext Loop End If objRecordset.Close() Set objRecordset = Nothing Set objRecordsetInsert = Nothing End Function Function UpdateTransactions() Dim strSQLUpdateVAT, strSQLUpdateCodes Dim objRecordsetVAT, objRecordsetUpdateCodes strSQLUpdateVAT = "UPDATE query here SET [value:costing output] = ([value:costing output] * -1)" Call RunSQL(strSQLUpdateVAT, objRecordsetVAT, False, conTimeOut, conServer, conDatabase, conUsername, conPassword) strSQLUpdateCodes = "UPDATE query here SET [value:costing output] = ([value:costing output] * -1) different WHERE clause" Call RunSQL(strSQLUpdateCodes, objRecordsetUpdateCodes, False, conTimeOut, conServer, conDatabase, conUsername, conPassword) Set objRecordsetVAT = Nothing Set objRecordsetUpdateCodes = Nothing End Function UDPATE: If I exit the function after I open the connection (see below) it still causes the same error. Function ImportTransactions() Dim objConnection, objCommand, objRecordset, strOracle Dim strSQL, objRecordsetInsert Set objConnection = CreateObject("ADODB.Connection") objConnection.Open "DSN=*****;UID=*****;PWD==*****;" Set objCommand = CreateObject("ADODB.Command") Set objRecordset = CreateObject("ADODB.Recordset") Exit Function End Function It does both the import and update and seems to throw this error after. Thanks in advance for any help, Clare

    Read the article

  • Scala newbie vproducer/consumer attempt running out of memory

    - by Nick
    I am trying to create a producer/consumer type Scala app. The LoopControl just sends a message to the MessageReceiver continually. The MessageReceiver then delegates work to the MessageCreatorActor (whose work is to check a map for an object, and if not found create one and start it up). Each MessageActor created by this MessageCreatorActor is associated with an Id. Eventually this is where I want to do business logic. But I run out of memory after 15 minutes. Its finding the cached actors,but quickly runs out of memory. Any help is appreciated. Or any one has any good code on producers consumers doing real stuff (not just adding numbers), please post. import scala.actors.Actor import java.util.HashMap import scala.actors.Actor._ case object LoopControl case object MessageReceiver case object MessageActor case object MessageActorCreator class MessageReceiver(msg: String) extends Actor { var messageActorMap = new HashMap[String, MessageActor] val messageCreatorActor = new MessageActorCreator(null, null) def act() { messageCreatorActor.start loop { react { case MessageActor(messageId) => if (msg.length() > 0) { var messageActor = messageActorMap.get(messageId); if(messageActor == null) { messageCreatorActor ! MessageActorCreator(messageId, messageActorMap) }else { messageActor ! MessageActor } } } } } } case class MessageActorCreator(msg:String, messageActorMap: HashMap[String, MessageActor]) extends Actor { def act() { loop { react { case MessageActorCreator(messageId, messageActorMap) => if(messageId != null ) { var messageActor = new MessageActor(messageId); messageActorMap.put(messageId, messageActor) println(messageActorMap) messageActor.start messageActor ! MessageActor } } } } } class LoopControl(messageReceiver:MessageReceiver) extends Actor { var count : Int = 0; def act() { while (true) { messageReceiver ! MessageActor ("00-122-0X95-FEC0" + count) //Thread.sleep(100) count = count +1; if(count > 5) { count = 0; } } } } case class MessageActor(msg: String) extends Actor { def act() { loop { react { case MessageActor => println() println("MessageActor: Got something-> " + msg) } } } } object messages extends Application { val messageReceiver = new MessageReceiver("bootstrap") val loopControl = new LoopControl(messageReceiver) messageReceiver.start loopControl.start }

    Read the article

  • Hashtable resizing leaks memory

    - by thpetrus
    I wrote a hashtable and it basically consists of these two structures: typedef struct dictEntry { void *key; void *value; struct dictEntry *next; } dictEntry; typedef struct dict { dictEntry **table; unsigned long size; unsigned long items; } dict; dict.table is a multidimensional array, which contains all the stored key/value pair, which again are a linked list. If half of the hashtable is full, I expand it by doubling the size and rehashing it: dict *_dictRehash(dict *d) { int i; dict *_d; dictEntry *dit; _d = dictCreate(d->size * 2); for (i = 0; i < d->size; i++) { for (dit = d->table[i]; dit != NULL; dit = dit->next) { _dictAddRaw(_d, dit); } } /* FIXME memory leak because the old dict can never be freed */ free(d); // seg fault return _d; } The function above uses the pointers from the old hash table and stores it in the newly created one. When freeing the old dict d a Segmentation Fault occurs. How am I able to free the old hashtable struct without having to allocate the memory for the key/value pairs again?

    Read the article

  • C++ casted realloc causing memory leak

    - by wyatt
    I'm using a function I found here to save a webpage to memory with cURL: struct WebpageData { char *pageData; size_t size; }; size_t storePage(void *input, size_t size, size_t nmemb, void *output) { size_t realsize = size * nmemb; struct WebpageData *page = (struct WebpageData *)output; page->pageData = (char *)realloc(page->pageData, page->size + realsize + 1); if(page->pageData) { memcpy(&(page->pageData[page->size]), input, realsize); page->size += realsize; page->pageData[page->size] = 0; } return realsize; } and find the line: page->pageData = (char *)realloc(page->pageData, page->size + realsize + 1); is causing a memory leak of a few hundred bytes per call. The only real change I've made from the original source is casting the line in question to a (char *), which my compiler (gcc, g++ specifically if it's a c/c++ issue, but gcc also wouldn't compile with the uncast statement) insisted upon, but I assume this is the source of the leak. Can anyone elucidate? Thanks

    Read the article

  • Why does Android allocate more memory than needed when loading images

    - by Simon
    Folks, I don't think that this is a duplicate and is NOT one of those how do I avoid OOMs questions. This is a genuine quest for knowledge so hold off on those down votes please... Imagine I have a JPEG of 500x500 pixels. I load it as ARGB_8888 which is as "bad as it gets". I would expect Android to allocate 500x500x4 bytes = a little under 1MB however, look at a heap dump and you will see that Android allocates significantly more, often factors of 5-10 times greater. You frequently see questions on here about OOMS where the stack trace shows a heap request of say 15MB and it is ALWAYS much larger than is required simply to hold the bytes of the image. The OP usually catches some downvotes then is bombarded with stock answers and comments about using less memory (thanks Romain!) and in scaling. I think there is more than meets the eye here. Anybody know why this is? If there is no apparent answer, I will put together an SSCCE if it helps. PS. I assume that JPEG vs PNG etc is irrelevant since we're talking about the memory usage of the backing bitmap which is simply x times y times BPP - or am I being slow?

    Read the article

  • Dynamic table memory usage

    - by Dan
    I use a dynamic table: <html> <body> <button id="button">Build table</button> <div id="container"> <script type="text/javascript"> window.onload=function(){ var table = null; var row = "<tr><td>111111111111111111111111111111111111111111111111111111</td>" + "<td>222222222222222222222222222222222222222222222222222222</td>" + "<td>333333333333333333333333333333333333333333333333333333</td></tr>"; var data = null; for (var i = 0; i < 2000; i++){ data += row; } var obj = document.getElementById("button"); obj.onclick=function buildTable(){ document.getElementById("container").innerHTML = "<div><table><tbody>" + data + "</tbody></table></div>"; }; }; </script> </body> </html> Using chromes task manager, each time new data is loaded the memory usage increases considerably and doesn't go down, so after some time the app consumes a lot of memory and requires the browser to be closed. Is there any change in the code I can use to solve this or is it a browser side problem?

    Read the article

  • Way to store a large dictionary with low memory footprint + fast lookups (on Android)

    - by BobbyJim
    I'm developing an android word game app that needs a large (~250,000 word dictionary) available. I need: reasonably fast look ups e.g. constant time preferable, need to do maybe 200 lookups a second on occasion to solve a word puzzle and maybe 20 lookups within 0.2 second more often to check words the user just spelled. EDIT: Lookups are typically asking "Is in the dictionary?". I'd like to support up to two wildcards in the word as well, but this is easy enough by just generating all possible letters the wildcards could have been and checking the generated words (i.e. 26 * 26 lookups for a word with two wildcards). as it's a mobile app, using as little memory as possible and requiring only a small initial download for the dictionary data is top priority. My first naive attempts used Java's HashMap class, which caused an out of memory exception. I've looked into using the SQL lite databases available on android, but this seems like overkill. What's a good way to do what I need?

    Read the article

  • Crystal Reports error 7 "Out of memory"

    - by pwee167
    Hi guys, I have a VB6 application, reportwriter, that runs a crystal report and outputs a pdf. I have a .net 3.5 asp application that calls the reportwriter dll. I am getting an error saying 7 "Out of memory", when trying to load the report. I have 4gb of memory and running windows 7 (64 bit). I also have Crystals Reports 11 with service pack 4 installed. I have registered the dll and referenced it in my project. I have run out of ideas what could be causing this. I need some help. Any advice will be very much appreciated. I suspect it has nothing to do with Crystal Reports, but I cannot be sure. Has anyone come across this error message/issue? Also, I have a friend running the identical project in almost identical PC (bar a few different personal applications installed). It works for him. Cheers.

    Read the article

  • Confusion about pointers and their memory addresses

    - by TimothyTech
    alright, im looking at a code here and the idea is difficult to understand. #include <iostream> using namespace std; class Point { public : int X,Y; Point() : X(0), Y(0) {} }; void MoveUp (Point * p) { p -> Y += 5; } int main() { Point point MoveUp(&point) cout <<point.X << point.Y; return 0; } Alright, so i believe that a class is created and X and Y are declared and they are put inside a constructor a method is created and the argument is Point * p, which means that we are going to stick the constructor's pointer inside the function; now we create an object called point then call our method and put the pointers address inside it? isnt the pointers address just a memory number like 0x255255? and why wasnt p ever declared? (int * p = Y) what is a memory addres exactly? that it can be used as an argument?

    Read the article

  • BitmapFactory.decodeFile out of memory with images 2400x2400

    - by alasarr
    I need to send an image from a file to a server. The server request the image in a resolution of 2400x2400. What I'm trying to do is: 1) Get a Bitmap using BitmapFactory.decodeFile using the correct inSampleSize. 2) Compress the image in JPEG with a quality of 40% 3) Encode the image in base64 4) Sent to the server I cannot achieve the first step, it throws an out of memory exception. I'm sure the inSampleSize is correct but I suppose even with inSampleSize the Bitmap is huge (around 30 MB in DDMS). Any ideas how can do it? Can I do these steps without created a bitmap object? I mean doing it on filesystem instead of RAM memory. This is the current code: // The following function calculate the correct inSampleSize Bitmap image = Util.decodeSampledBitmapFromFile(imagePath, width,height); // compressing the image ByteArrayOutputStream baos = new ByteArrayOutputStream(); image.compress(Bitmap.CompressFormat.JPEG, 40, baos); // encode image String encodedImage = Base64.encodeToString(baos.toByteArray(),Base64.DEFAULT));

    Read the article

  • [C]Dynamic allocation memory of structure, related to GTK

    - by MakeItWork
    Hello, I have following structure: typedef struct { GtkWidget* PoziomaLinijka; GtkWidget* PionowaLinijka; GtkWidget* Label1; GtkWidget* Label2; gint x,y; } StrukturaDrawing; And i need to allocate it on the heap because later I have functions which uses that structure and I don't want to use global variables. So I allocate it like this: StrukturaDrawing* Wsk; Wsk = (StrukturaDrawing*)malloc(sizeof(StrukturaDrawing)); if (!Wsk) { printf("Error\n"); } And it doesn't returning error and also works great with other functions, it works the way I wanted it to work so finally i wanted to free that memory and here is problem because in Debug Mode compilator bitches: First-chance exception at 0x102d12b4 in GTK.exe: 0xC0000005: Access violation reading location 0xfffffffc. Unhandled exception at 0x102d12b4 in GTK.exe: 0xC0000005: Access violation reading location 0xfffffffc. I connect callback to my function, like that: g_signal_connect(G_OBJECT(Okno), "destroy", G_CALLBACK(Wyjscie), Wsk); Function which is suppose to free memory and close program: void Wyjscie(GtkWindow* window, GdkEvent* event, StrukturaDrawing* data) { gtk_main_quit(); free(data); data = NULL; } Any help really appreciated.

    Read the article

  • Javascript dynamic table memory usage

    - by Dan
    I use a dynamic table: <html> <body> <button id="button">Build table</button> <div id="container"> <script type="text/javascript"> window.onload=function(){ var table = null; var row = "<tr><td>111111111111111111111111111111111111111111111111111111</td>" + "<td>222222222222222222222222222222222222222222222222222222</td>" + "<td>333333333333333333333333333333333333333333333333333333</td></tr>"; var data = null; for (var i = 0; i < 2000; i++){ data += row; } var obj = document.getElementById("button"); obj.onclick=function buildTable(){ document.getElementById("container").innerHTML = "<div><table><tbody>" + data + "</tbody></table></div>"; }; }; </script> </body> </html> Using chromes task manager, each time new data is loaded the memory usage increases considerably and doesn't go down, so after some time the app consumes a lot of memory and requires the browser to be closed. Is there any change in the code I can use to solve this or is it a browser side problem?

    Read the article

  • How to reduce RAM consumption when my server is idle

    - by Julien Genestoux
    We use Slicehost, with 512MB instances. We run Ubuntu 9.10 on them. I installed a few packages, and I'm now trying to optimize RAM consumption before running anything on there. A simple ps gives me the list of running processes : # ps faux USER PID %CPU %MEM VSZ RSS TTY STAT START TIME COMMAND root 2 0.0 0.0 0 0 ? S< Jan04 0:00 [kthreadd] root 3 0.0 0.0 0 0 ? S< Jan04 0:15 \_ [migration/0] root 4 0.0 0.0 0 0 ? S< Jan04 0:01 \_ [ksoftirqd/0] root 5 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [watchdog/0] root 6 0.0 0.0 0 0 ? S< Jan04 0:04 \_ [events/0] root 7 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [cpuset] root 8 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [khelper] root 9 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [async/mgr] root 10 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [xenwatch] root 11 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [xenbus] root 13 0.0 0.0 0 0 ? S< Jan04 0:02 \_ [migration/1] root 14 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [ksoftirqd/1] root 15 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [watchdog/1] root 16 0.0 0.0 0 0 ? S< Jan04 0:07 \_ [events/1] root 17 0.0 0.0 0 0 ? S< Jan04 0:02 \_ [migration/2] root 18 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [ksoftirqd/2] root 19 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [watchdog/2] root 20 0.0 0.0 0 0 ? R< Jan04 0:07 \_ [events/2] root 21 0.0 0.0 0 0 ? S< Jan04 0:04 \_ [migration/3] root 22 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [ksoftirqd/3] root 23 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [watchdog/3] root 24 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [events/3] root 25 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [kintegrityd/0] root 26 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [kintegrityd/1] root 27 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [kintegrityd/2] root 28 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [kintegrityd/3] root 29 0.0 0.0 0 0 ? S< Jan04 0:01 \_ [kblockd/0] root 30 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [kblockd/1] root 31 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [kblockd/2] root 32 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [kblockd/3] root 33 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [kseriod] root 34 0.0 0.0 0 0 ? S Jan04 0:00 \_ [khungtaskd] root 35 0.0 0.0 0 0 ? S Jan04 0:05 \_ [pdflush] root 36 0.0 0.0 0 0 ? S Jan04 0:06 \_ [pdflush] root 37 0.0 0.0 0 0 ? S< Jan04 1:02 \_ [kswapd0] root 38 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [aio/0] root 39 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [aio/1] root 40 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [aio/2] root 41 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [aio/3] root 42 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [jfsIO] root 43 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [jfsCommit] root 44 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [jfsCommit] root 45 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [jfsCommit] root 46 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [jfsCommit] root 47 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [jfsSync] root 48 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [xfs_mru_cache] root 49 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [xfslogd/0] root 50 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [xfslogd/1] root 51 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [xfslogd/2] root 52 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [xfslogd/3] root 53 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [xfsdatad/0] root 54 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [xfsdatad/1] root 55 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [xfsdatad/2] root 56 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [xfsdatad/3] root 57 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [xfsconvertd/0] root 58 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [xfsconvertd/1] root 59 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [xfsconvertd/2] root 60 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [xfsconvertd/3] root 61 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [glock_workqueue] root 62 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [glock_workqueue] root 63 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [glock_workqueue] root 64 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [glock_workqueue] root 65 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [delete_workqueu] root 66 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [delete_workqueu] root 67 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [delete_workqueu] root 68 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [delete_workqueu] root 69 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [kslowd] root 70 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [kslowd] root 71 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [crypto/0] root 72 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [crypto/1] root 73 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [crypto/2] root 74 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [crypto/3] root 77 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [net_accel/0] root 78 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [net_accel/1] root 79 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [net_accel/2] root 80 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [net_accel/3] root 81 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [sfc_netfront/0] root 82 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [sfc_netfront/1] root 83 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [sfc_netfront/2] root 84 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [sfc_netfront/3] root 310 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [kstriped] root 315 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [ksnapd] root 1452 0.0 0.0 0 0 ? S< Jan04 4:31 \_ [kjournald] root 1 0.0 0.1 19292 948 ? Ss Jan04 0:15 /sbin/init root 1545 0.0 0.1 13164 1064 ? S Jan04 0:00 upstart-udev-bridge --daemon root 1547 0.0 0.1 17196 996 ? S<s Jan04 0:00 udevd --daemon root 1728 0.0 0.2 20284 1468 ? S< Jan04 0:00 \_ udevd --daemon root 1729 0.0 0.1 17192 792 ? S< Jan04 0:00 \_ udevd --daemon root 1881 0.0 0.0 8192 152 ? Ss Jan04 0:00 dd bs=1 if=/proc/kmsg of=/var/run/rsyslog/kmsg syslog 1884 0.0 0.2 185252 1200 ? Sl Jan04 1:00 rsyslogd -c4 103 1894 0.0 0.1 23328 700 ? Ss Jan04 1:08 dbus-daemon --system --fork root 2046 0.0 0.0 136 32 ? Ss Jan04 4:05 runsvdir -P /etc/service log: gems/custom_require.rb:31:in `require'??from /mnt/app/superfeedr-firehoser/current/script/component:52?/opt/ruby-enterprise/lib/ruby/si root 2055 0.0 0.0 112 32 ? Ss Jan04 0:00 \_ runsv chef-client root 2060 0.0 0.0 132 40 ? S Jan04 0:02 | \_ svlogd -tt ./main root 2056 0.0 0.0 112 28 ? Ss Jan04 0:20 \_ runsv superfeedr-firehoser_2 root 2059 0.0 0.0 132 40 ? S Jan04 0:29 | \_ svlogd /var/log/superfeedr-firehoser_2 root 2057 0.0 0.0 112 28 ? Ss Jan04 0:20 \_ runsv superfeedr-firehoser_1 root 2062 0.0 0.0 132 44 ? S Jan04 0:26 \_ svlogd /var/log/superfeedr-firehoser_1 root 2058 0.0 0.0 18708 316 ? Ss Jan04 0:01 cron root 2095 0.0 0.1 49072 764 ? Ss Jan04 0:06 /usr/sbin/sshd root 9832 0.0 0.5 78916 3500 ? Ss 00:37 0:00 \_ sshd: root@pts/0 root 9846 0.0 0.3 17900 2036 pts/0 Ss 00:37 0:00 \_ -bash root 10132 0.0 0.1 15020 1064 pts/0 R+ 09:51 0:00 \_ ps faux root 2180 0.0 0.0 5988 140 tty1 Ss+ Jan04 0:00 /sbin/getty -8 38400 tty1 root 27610 0.0 1.4 47060 8436 ? S Apr04 2:21 python /usr/sbin/denyhosts --daemon --purge --config=/etc/denyhosts.conf --config=/etc/denyhosts.conf root 22640 0.0 0.7 119244 4164 ? Ssl Apr05 0:05 /usr/sbin/console-kit-daemon root 10113 0.0 0.0 3904 316 ? Ss 09:46 0:00 /usr/sbin/collectdmon -P /var/run/collectdmon.pid -- -C /etc/collectd/collectd.conf root 10114 0.0 0.2 201084 1464 ? Sl 09:46 0:00 \_ collectd -C /etc/collectd/collectd.conf -f As you can see there is nothing serious here. If I sum up the RSS line on all this, I get the following : # ps -aeo rss | awk '{sum+=$1} END {print sum}' 30096 Which makes sense. However, I have a pretty big surprise when I do a free: # free total used free shared buffers cached Mem: 591180 343684 247496 0 25432 161256 -/+ buffers/cache: 156996 434184 Swap: 1048568 0 1048568 As you can see 60% of the available memory is already consumed... which leaves me with only 40% to run my own applications if I want to avoid swapping. Quite disapointing! 2 questions arise : Where is all this memory? How to take some of it back for my own apps?

    Read the article

  • Can processor cores thrash each other's caches?

    - by Jørgen Fogh
    If more than one core on a processor is accessing the same memory address, will they thrash each other's caches or will some snooping protocol allow each to keep the data in L1-cache? I am interested in a general answer as well as answers for specific processors. How many layers of cache are invalidated? Will accessing another address within the same cache-line invalidate the entire line? What can you do to alleviate these problems?

    Read the article

  • Logs show failed password for invalid user root from <IP Address> port 2924 ssh2

    - by Chris Hanson
    I'm getting a constant flow of these messages in my logs. The port is variable (seemingly between 1024 and 65535). I can simulate it myself by running sftp root@<my ip> I've commented out the sftp subsystem line in my sshd_config. These ports should be closed by provider's firewall. I don't understand: Why sftp would be selecting a random port like that. It seems to be behaving like FTP in passive mode, but I can't make any sense of why that would be. Why it can even hit my server in the first place if these ports are closed.

    Read the article

< Previous Page | 142 143 144 145 146 147 148 149 150 151 152 153  | Next Page >