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  • WPF: Reloading app parts to handle persistence as well as memory management.

    - by Ingó Vals
    I created a app using Microsoft's WPF. It mostly handles data reading and input as well as associating relations between data within specific parameters. As a total beginner I made some bad design decision ( not so much decisions as using the first thing I got to work ) but now understanding WPF better I'm getting the urge to refactor my code with better design principles. I had several problems but I guess each deserves it's own question for clarity. Here I'm asking for proper ways to handle the data itself. In the original I wrapped each row in a object when fetched from database ( using LINQ to SQL ) somewhat like Active Record just not active or persistence (each app instance had it's own data handling part). The app has subunits handling different aspects. However as it was setup it loaded everything when started. This creates several problems, for example often it wouldn't be neccesary to load a part unless we were specifically going to work with that part so I wan't some form of lazy loading. Also there was problem with inner persistance because you might create a new object/row in one aspect and perhaps set relation between it and different object but the new object wouldn't appear until the program was restarted. Persistance between instances of the app won't be huge problem because of the small amount of people using the program. While I could solve this now using dirty tricks I would rather refactor the program and do it elegantly, Now the question is how. I know there are several ways and a few come to mind: 1) Each aspect of the program is it's own UserControl that get's reloaded/instanced everytime you navigate to it. This ensures you only load up the data you need and you get some persistancy. DB server located on same LAN and tables are small so that shouldn't be a big problem. Minor drawback is that you would have to remember the state of each aspect so you wouldn't always start at beginners square. 2) Having a ViewModel type object at the base level of the app with lazy loading and some kind of timeout. I would then propegate this object down the visual tree to ensure every aspect is getting it's data from the same instance 3) Semi active record data layer with static load methods. 4) Some other idea What in your opinion is the most practical way in WPF, what does MVVM assume?

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  • Read only array, deep copy or retrieve copies one by one? (Performance and Memory)

    - by Arthur Wulf White
    In a garbage collection based system, what is the most effective way to handle a read only array if such a structure does not exist natively in the language. Is it better to return a copy of an array or allow other classes to retrieve copies of the objects stored in the array one by one? @JustinSkiles: It is not very broad. It is performance related and can actually be answered specifically for two general cases. You only need very few items: in this situation it's more effective to retrieve copies of the objects one by one. You wish to iterate over 30% or more objects. In this cases it is superior to retrieve all the array at once. This saves on functions calls. Function calls are very expansive when compared to reading directly from an array. A good specific answer could include performance, reading from an array and reading indirectly through a function. It is a simple performance related question.

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  • Is it possible to efficiently store all possible phone numbers in memory?

    - by Spencer K
    Given the standard North American phone number format: (Area Code) Exchange - Subscriber, the set of possible numbers is about 6 billion. However, efficiently breaking down the nodes into the sections listed above would yield less than 12000 distinct nodes that can be arranged in groupings to get all the possible numbers. This seems like a problem already solved. Would it done via a graph or tree?

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  • eAccelerator settings for PHP/Centos/Apache

    - by bobbyh
    I have eAccelerator installed on a server running Wordpress using PHP/Apache on CentOS. I am occassionally getting persistent "white pages", which presumably are PHP Fatal Errors (although these errors don't appear in my error_log). These "white pages" are sprinkled here and there throughout the site. They persist until I go to my eAccelerator control.php page and clear/clean/purge my caches, which suggests to me that I've configured eAccelerator improperly. Here are my current /etc/php.ini settings: memory_limit = 128M; eaccelerator.shm_size="64", where shm.size is "the amount of shared memory eAccelerator should allocate to cache PHP scripts" (see http://eaccelerator.net/wiki/Settings) eaccelerator.shm_max="0", where shm_max is "the maximum size a user can put in shared memory with functions like eaccelerator_put ... The default value is "0" which disables the limit" eaccelerator.shm_ttl="0" - "When eAccelerator doesn't have enough free shared memory to cache a new script it will remove all scripts from shared memory cache that haven't been accessed in at least shm_ttl seconds. By default this value is set to "0" which means that eAccelerator won't try to remove any old scripts from shared memory." eaccelerator.shm_prune_period="0" - "When eAccelerator doesn't have enough free shared memory to cache a script it tries to remove old scripts if the previous try was made more then "shm_prune_period" seconds ago. Default value is "0" which means that eAccelerator won't try to remove any old script from shared memory." eaccelerator.keys = "shm_only" - "These settings control the places eAccelerator may cache user content. ... 'shm_only' cache[s] data in shared memory" On my phpinfo page, it says: memory_limit 128M Version 0.9.5.3 and Caching Enabled true On my eAccelerator control.php page, it says 64 MB of total RAM available Memory usage 77.70% (49.73MB/ 64.00MB) 27.6 MB is used by cached scripts in the PHP opcode cache (I added up the file sizes myself) 22.1 MB is used by the cache keys, which is populated by the Wordpress object cache. My questions are: Is it true that there is only 36.4 MB of room in the eAccelerator cache for total "cache keys" (64 MB of total RAM minus whatever is taken by cached scripts, which is 27.6 MB at the moment)? What happens if my app tries to write more than 22.1 MB of cache keys to the eAccelerator memory cache? Does this cause eAccelerator to go crazy, like I've seen? If I change eaccelerator.shm_max to be equal to (say) 32 MB, would that avoid this problem? Do I also need to change shm_ttl and shm_prune_period to make eAccelerator respect the MB limit set by shm_max? Thanks! :-)

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  • Why is multithreading often preferred for improving performance?

    - by user1849534
    I have a question, it's about why programmers seems to love concurrency and multi-threaded programs in general. I'm considering 2 main approaches here: an async approach basically based on signals, or just an async approach as called by many papers and languages like the new C# 5.0 for example, and a "companion thread" that manages the policy of your pipeline a concurrent approach or multi-threading approach I will just say that I'm thinking about the hardware here and the worst case scenario, and I have tested this 2 paradigms myself, the async paradigm is a winner at the point that I don't get why people 90% of the time talk about multi-threading when they want to speed up things or make a good use of their resources. I have tested multi-threaded programs and async program on an old machine with an Intel quad-core that doesn't offer a memory controller inside the CPU, the memory is managed entirely by the motherboard, well in this case performances are horrible with a multi-threaded application, even a relatively low number of threads like 3-4-5 can be a problem, the application is unresponsive and is just slow and unpleasant. A good async approach is, on the other hand, probably not faster but it's not worst either, my application just waits for the result and doesn't hangs, it's responsive and there is a much better scaling going on. I have also discovered that a context change in the threading world it's not that cheap in real world scenario, it's in fact quite expensive especially when you have more than 2 threads that need to cycle and swap among each other to be computed. On modern CPUs the situation it's not really that different, the memory controller it's integrated but my point is that an x86 CPUs is basically a serial machine and the memory controller works the same way as with the old machine with an external memory controller on the motherboard. The context switch is still a relevant cost in my application and the fact that the memory controller it's integrated or that the newer CPU have more than 2 core it's not bargain for me. For what i have experienced the concurrent approach is good in theory but not that good in practice, with the memory model imposed by the hardware, it's hard to make a good use of this paradigm, also it introduces a lot of issues ranging from the use of my data structures to the join of multiple threads. Also both paradigms do not offer any security abut when the task or the job will be done in a certain point in time, making them really similar from a functional point of view. According to the X86 memory model, why the majority of people suggest to use concurrency with C++ and not just an async approach ? Also why not considering the worst case scenario of a computer where the context switch is probably more expensive than the computation itself ?

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  • Oracle Database In-Memory Launch - Featuring Larry Ellison - June 10 - Joint the live webcast!

    - by Javier Puerta
    For more than three-and-a-half decades, Oracle has defined database innovation. With our market-leading technologies, customers have been able to out-think and out-perform their competition. Soon they will be able to do that even faster. At a live launch event and simultaneous webcast, Larry Ellison will reveal the future of the database. Promote this strategic event to customers.  Watch Larry Ellison on Tuesday, June 10, 2014 19:00 – 20:30 a.m. CET  6:00 pm - 7:30 pm UK  Join the webcast here!

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  • Oracle Database In-Memory Launch - Featuring Larry Ellison - June 10 - Joint the webcast!

    - by Javier Puerta
    For more than three-and-a-half decades, Oracle has defined database innovation. With our market-leading technologies, customers have been able to out-think and out-perform their competition. Soon they will be able to do that even faster. At a live launch event and simultaneous webcast, Larry Ellison will reveal the future of the database. Promote this strategic event to customers.  Watch Larry Ellison on Tuesday, June 10, 2014 19:00 – 20:30 a.m. CET  6:00 pm - 7:30 pm UK  Join the webcast here!

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  • How do I change the grub boot order?

    - by chrisjlee
    I've got windows 7 and ubuntu installed on a shared machine. A lot of the non-developers use windows. Currently the order of boot looks like the following (but not word for word) Ubuntu 11.10 kernelgeneric *86 Ubuntu 11.10 kernelgeneric *86 (safe boot) Memory test Memory test Windows 7 on /sda/blah blah How do i change it to default as windows 7 at the top of the list? Windows 7 on /sda/blah blah Ubuntu 11.10 kernelgeneric *86 Ubuntu 11.10 kernelgeneric *86 (safe boot) Memory test Memory test

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  • How to capture the screen in DirectX 9 to a raw bitmap in memory without using D3DXSaveSurfaceToFile

    - by cloudraven
    I know that in OpenGL I can do something like this glReadBuffer( GL_FRONT ); glReadPixels( 0, 0, _width, _height, GL_RGB, GL_UNSIGNED_BYTE, _buffer ); And its pretty fast, I get the raw bitmap in _buffer. When I try to do this in DirectX. Assuming that I have a D3DDevice object I can do something like this if (SUCCEEDED(D3DDevice->GetBackBuffer(0, 0, D3DBACKBUFFER_TYPE_MONO, &pBackbuffer))) { HResult hr = D3DXSaveSurfaceToFileA(filename, D3DXIFF_BMP, pBackbuffer, NULL, NULL); But D3DXSaveSurfaceToFile is pretty slow, and I don't need to write the capture to disk anyway, so I was wondering if there was a faster way to do this

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  • Does gunzip work in memory or does it write to disk?

    - by Ryan Detzel
    We have our log files gzipped to save space. Normally we keep them compressed and just do gunzip -c file.gz | grep 'test' to find important information but we're wondering if it's quicker to keep the files uncompressed and then do the grep. cat file | grep 'test' There has been some discussions about how gzip works if it would make sense that if it reads it into memory and unzips then the first one would be faster but if it doesn't then the second one would be faster. Does anyone know how gzip uncompresses data?

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  • Is it conceivable to have millions of lists of data in memory in Python?

    - by Codemonkey
    I have over the last 30 days been developing a Python application that utilizes a MySQL database of information (specifically about Norwegian addresses) to perform address validation and correction. The database contains approximately 2.1 million rows (43 columns) of data and occupies 640MB of disk space. I'm thinking about speed optimizations, and I've got to assume that when validating 10,000+ addresses, each validation running up to 20 queries to the database, networking is a speed bottleneck. I haven't done any measuring or timing yet, and I'm sure there are simpler ways of speed optimizing the application at the moment, but I just want to get the experts' opinions on how realistic it is to load this amount of data into a row-of-rows structure in Python. Also, would it even be any faster? Surely MySQL is optimized for looking up records among vast amounts of data, so how much help would it even be to remove the networking step? Can you imagine any other viable methods of removing the networking step? The location of the MySQL server will vary, as the application might well be run from a laptop at home or at the office, where the server would be local.

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  • TechEd 2014 Day 1

    - by John Paul Cook
    Today at TechEd 2014, many people had questions about the in-memory database features in SQL Server 2014. A common question is how an in-memory database is different from having a database on a SQL Server with an amount of ram far greater than the size of the database. In-memory or memory optimized tables have different data structures and are accessed differently using a latch free and lock free approach that greatly improves performance. This provides part of the performance improvement. The rest...(read more)

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  • Why C++ people loves multithreading when it comes to performances?

    - by user1849534
    I have a question, it's about why programmers seems to love concurrency and multi-threaded programs in general. I'm considering 2 main approach here: an async approach basically based on signals, or just an async approach as called by many papers and languages like the new C# 5.0 for example, and a "companion thread" that maanges the policy of your pipeline a concurrent approach or multi-threading approach I will just say that I'm thinking about the hardware here and the worst case scenario, and I have tested this 2 paradigms myself, the async paradigm is a winner at the point that I don't get why people 90% of the time talk about concurrency when they wont to speed up things or make a good use of their resources. I have tested multi-threaded programs and async program on an old machine with an Intel quad-core that doesn't offer a memory controller inside the CPU, the memory is managed entirely by the motherboard, well in this case performances are horrible with a multi-threaded application, even a relatively low number of threads like 3-4-5 can be a problem, the application is unresponsive and is just slow and unpleasant. A good async approach is, on the other hand, probably not faster but it's not worst either, my application just waits for the result and doesn't hangs, it's responsive and there is a much better scaling going on. I have also discovered that a context change in the threading world it's not that cheap in real world scenario, it's infact quite expensive especially when you have more than 2 threads that need to cycle and swap among each other to be computed. On modern CPUs the situation it's not really that different, the memory controller it's integrated but my point is that an x86 CPUs is basically a serial machine and the memory controller works the same way as with the old machine with an external memory controller on the motherboard. The context switch is still a relevant cost in my application and the fact that the memory controller it's integrated or that the newer CPU have more than 2 core it's not bargain for me. For what i have experienced the concurrent approach is good in theory but not that good in practice, with the memory model imposed by the hardware, it's hard to make a good use of this paradigm, also it introduces a lot of issues ranging from the use of my data structures to the join of multiple threads. Also both paradigms do not offer any security abut when the task or the job will be done in a certain point in time, making them really similar from a functional point of view. According to the X86 memory model, why the majority of people suggest to use concurrency with C++ and not just an async aproach ? Also why not considering the worst case scenario of a computer where the context switch is probably more expensive than the computation itself ?

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  • Escaping an equals sign in DOS batch string replacement command

    - by Alastair
    I need to replace some text in a JNLP file using a DOS batch file to tune it for the local machine. The problem is that the search pattern contains an equals sign which is messing up the string replacement in the batch file. I want to replace the line, <j2se version="1.5" initial-heap-size="100M" max-heap-size="100M"/> with specific settings for the initial and max heap sizes. For example at the moment I have, for /f "tokens=* delims=" %%a in (%filePath%agility.jnlp) do ( set str=%%a set str=!str:initial-heap-size="100M"=initial-heap-size="%min%M"! echo !str!>>%filePath%new.jnlp) but the = in the search pattern is being read as part of the replacement command. How do I escape the equals sign so it is processed as text?

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  • Algorithmia Source Code released on CodePlex

    - by FransBouma
    Following the release of our BCL Extensions Library on CodePlex, we have now released the source-code of Algorithmia on CodePlex! Algorithmia is an algorithm and data-structures library for .NET 3.5 or higher and is one of the pillars LLBLGen Pro v3's designer is built on. The library contains many data-structures and algorithms, and the source-code is well documented and commented, often with links to official descriptions and papers of the algorithms and data-structures implemented. The source-code is shared using Mercurial on CodePlex and is licensed under the friendly BSD2 license. User documentation is not available at the moment but will be added soon. One of the main design goals of Algorithmia was to create a library which contains implementations of well-known algorithms which weren't already implemented in .NET itself. This way, more developers out there can enjoy the results of many years of what the field of Computer Science research has delivered. Some algorithms and datastructures are known in .NET but are re-implemented because the implementation in .NET isn't efficient for many situations or lacks features. An example is the linked list in .NET: it doesn't have an O(1) concat operation, as every node refers to the containing LinkedList object it's stored in. This is bad for algorithms which rely on O(1) concat operations, like the Fibonacci heap implementation in Algorithmia. Algorithmia therefore contains a linked list with an O(1) concat feature. The following functionality is available in Algorithmia: Command, Command management. This system is usable to build a fully undo/redo aware system by building your object graph using command-aware classes. The Command pattern is implemented using a system which allows transparent undo-redo and command grouping so you can use it to make a class undo/redo aware and set properties, use its contents without using commands at all. The Commands namespace is the namespace to start. Classes you'd want to look at are CommandifiedMember, CommandifiedList and KeyedCommandifiedList. See the CommandQueueTests in the test project for examples. Graphs, Graph algorithms. Algorithmia contains a sophisticated graph class hierarchy and algorithms implemented onto them: non-directed and directed graphs, as well as a subgraph view class, which can be used to create a view onto an existing graph class which can be self-maintaining. Algorithms include transitive closure, topological sorting and others. A feature rich depth-first search (DFS) crawler is available so DFS based algorithms can be implemented quickly. All graph classes are undo/redo aware, as they can be set to be 'commandified'. When a graph is 'commandified' it will do its housekeeping through commands, which makes it fully undo-redo aware, so you can remove, add and manipulate the graph and undo/redo the activity automatically without any extra code. If you define the properties of the class you set as the vertex type using CommandifiedMember, you can manipulate the properties of vertices and the graph contents with full undo/redo functionality without any extra code. Heaps. Heaps are data-structures which have the largest or smallest item stored in them always as the 'root'. Extracting the root from the heap makes the heap determine the next in line to be the 'maximum' or 'minimum' (max-heap vs. min-heap, all heaps in Algorithmia can do both). Algorithmia contains various heaps, among them an implementation of the Fibonacci heap, one of the most efficient heap datastructures known today, especially when you want to merge different instances into one. Priority queues. Priority queues are specializations of heaps. Algorithmia contains a couple of them. Sorting. What's an algorithm library without sort algorithms? Algorithmia implements a couple of sort algorithms which sort the data in-place. This aspect is important in situations where you want to sort the elements in a buffer/list/ICollection in-place, so all data stays in the data-structure it already is stored in. PropertyBag. It re-implements Tony Allowatt's original idea in .NET 3.5 specific syntax, which is to have a generic property bag and to be able to build an object in code at runtime which can be bound to a property grid for editing. This is handy for when you have data / settings stored in XML or other format, and want to create an editable form of it without creating many editors. IEditableObject/IDataErrorInfo implementations. It contains default implementations for IEditableObject and IDataErrorInfo (EditableObjectDataContainer for IEditableObject and ErrorContainer for IDataErrorInfo), which make it very easy to implement these interfaces (just a few lines of code) without having to worry about bookkeeping during databinding. They work seamlessly with CommandifiedMember as well, so your undo/redo aware code can use them out of the box. EventThrottler. It contains an event throttler, which can be used to filter out duplicate events in an event stream coming into an observer from an event. This can greatly enhance performance in your UI without needing to do anything other than hooking it up so it's placed between the event source and your real handler. If your UI is flooded with events from data-structures observed by your UI or a middle tier, you can use this class to filter out duplicates to avoid redundant updates to UI elements or to avoid having observers choke on many redundant events. Small, handy stuff. A MultiValueDictionary, which can store multiple unique values per key, instead of one with the default Dictionary, and is also merge-aware so you can merge two into one. A Pair class, to quickly group two elements together. Multiple interfaces for helping with building a de-coupled, observer based system, and some utility extension methods for the defined data-structures. We regularly update the library with new code. If you have ideas for new algorithms or want to share your contribution, feel free to discuss it on the project's Discussions page or send us a pull request. Enjoy!

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  • Container Options in AWS Elastic Beanstalk

    - by Sangram Anand
    We have deployed a java webapplication in Elastic Beanstalk with the minimum instance count 1 and max instance count 2 for Autoscaling. The custom AMI we are using is c1.medium with Sun JDK 6. The environment status changed to yellow and then red. After checking into the log file from the snapshot logs we found a exception - Caused by: java.lang.OutOfMemoryError: Java heap space. Assuming this could be one of the possible reason for the Environment failure. The settings that we have configured in the Environment Container option are Initial JVM Heap Size (MB) - 256M Maximum JVM Heap Size (MB) - 512m The maximum heap size the java virtual machine will ever consume, specified on the JVM launch command line using -Xmx. Maximum JVM Permanent Generation Size (MB) - 512m Should i increase the Heap size from 512m to more or is it fine.

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  • WebBrowser Control in ATL window. How to free up memory on window unload? I'm stuck.

    - by Martin
    Hello there. I have a Win32 C++ Application. There is the _tWinMain(...) Method with GetMessage(...) in a while loop at the end. Before GetMessage(...) I create the main window with HWND m_MainHwnd = CreateWindowExW(WS_EX_TOOLWINDOW | WS_EX_LAYERED, CAxWindow::GetWndClassName(), _TEXT("http://www.-website-.com"), WS_POPUP, 0, 0, 1024, 768, NULL, NULL, m_Instance, NULL); ShowWindow(m_MainHwnd) If I do not create the main window, my application needs about 150K in memory. But with creating the main window with the WebBrowser Control inside, the memory usage increases to 8500K. But, I want to dynamically unload the main window. My _tWinMain(...) keeps running! Im unloading with DestroyWindow(m_MainHwnd) But the WebBrowser control won't unload and free up it's memory used! Application memory used is still 8500K! I can also get the WebBrowser Instance or with some additional code the WebBrowser HWND IWebBrowser2* m_pWebBrowser2; CAxWindow wnd = (CAxWindow)m_MainHwnd; HRESULT hRet = wnd.QueryControl(IID_IWebBrowser2, (void**)&m_pWebBrowser2); So I tried to free up the memory used by main window and WebBrowser control with (let's say it's experimental): if(m_pWebBrowser2) m_pWebBrowser2->Release(); DestroyWindow(m_hwndWebBrowser); //<-- just analogous OleUninitialize(); No success at all. I also created a wrapper class which creates the main window. I created a pointer and freed it up with delete: Wrapper* wrapper = new Wrapper(); //wrapper creates main window inside and shows it //...do some stuff delete(wrapper); No success. Still 8500K. So please, how can I get rid of the main window and it's WebBrowser control and free up the memory, returning to about 150K. Later I will recreate the window. It's a dynamically load and unload of the main window, depending on other commands. Thanks! Regards Martin

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  • PHP throws 'Allowed memory exhausted' errors while migrating data in Drupal.

    - by Stan
    I'm trying to setup a tiny sandbox on a local machine to play around with Drupal. I created a few CCK types; in order to create a few nodes I wrote the following script: chdir('C:\..\drupal'); require_once '.\includes\bootstrap.inc'; drupal_bootstrap(DRUPAL_BOOTSTRAP_FULL); module_load_include('inc', 'node', 'node.pages'); $node = array('type' => 'my_type'); $link = mysql_connect(..); mysql_select_db('my_db'); $query_bldg = ' SELECT stuff FROM table LIMIT 10 '; $result = mysql_query($query_bldg); while ($row = mysql_fetch_object($result)) { $form_state = array(); $form_state['values']['name'] = 'admin'; $form_state['values']['status'] = 1; $form_state['values']['op'] = t('Save'); $form_state['values']['title'] = $row->val_a; $form_state['values']['my_field'][0]['value'] = $row->val_b; ## About another dozen or so of similar assignments... drupal_execute('node_form', $form_state, (object)$node); } Here are a few relevant lines from php_errors.log: [12-Jun-2010 05:02:47] PHP Notice: Undefined index: REMOTE_ADDR in C:\..\drupal\includes\bootstrap.inc on line 1299 [12-Jun-2010 05:02:47] PHP Notice: Undefined index: REMOTE_ADDR in C:\..\drupal\includes\bootstrap.inc on line 1299 [12-Jun-2010 05:02:47] PHP Warning: session_start(): Cannot send session cookie - headers already sent by (output started at C:\..\drupal\includes\bootstrap.inc:1299) in C:\..\drupal\includes\bootstrap.inc on line 1143 [12-Jun-2010 05:02:47] PHP Warning: session_start(): Cannot send session cache limiter - headers already sent (output started at C:\..\drupal\includes\bootstrap.inc:1299) in C:\..\drupal\includes\bootstrap.inc on line 1143 [12-Jun-2010 05:02:47] PHP Warning: Cannot modify header information - headers already sent by (output started at C:\..\drupal\includes\bootstrap.inc:1299) in C:\..\drupal\includes\bootstrap.inc on line 709 [12-Jun-2010 05:02:47] PHP Warning: Cannot modify header information - headers already sent by (output started at C:\..\drupal\includes\bootstrap.inc:1299) in C:\..\drupal\includes\bootstrap.inc on line 710 [12-Jun-2010 05:02:47] PHP Warning: Cannot modify header information - headers already sent by (output started at C:\..\drupal\includes\bootstrap.inc:1299) in C:\..\drupal\includes\bootstrap.inc on line 711 [12-Jun-2010 05:02:47] PHP Warning: Cannot modify header information - headers already sent by (output started at C:\..\drupal\includes\bootstrap.inc:1299) in C:\..\drupal\includes\bootstrap.inc on line 712 [12-Jun-2010 05:02:47] PHP Notice: Undefined index: REMOTE_ADDR in C:\..\drupal\includes\bootstrap.inc on line 1299 [12-Jun-2010 05:02:48] PHP Fatal error: Allowed memory size of 239075328 bytes exhau sted (tried to allocate 261904 bytes) in C:\..\drupal\includes\form.inc on line 488 [12-Jun-2010 05:03:22] PHP Fatal error: Allowed memory size of 239075328 bytes exhausted (tried to allocate 261904 bytes) in C:\..\drupal\includes\form.inc on line 488 [12-Jun-2010 05:04:34] PHP Fatal error: Allowed memory size of 262144 bytes exhausted (tried to allocate 261904 bytes) in Unknown on line 0 At this point any action php takes results in the last error shown above. I tried increasing the value of memory_limit in php.ini before the final Fatal error which obviously didn't help. How can the error be eliminated? Am I on a correct path to migrating data into Drupal or should the cck tables be operated on directly? Windows XP PHP 5.3.2 VC6 Apache 2.2

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  • What is the relationship between recursion functions and memory stack?

    - by Eslam
    is there's a direct relationship between recursive functions and the memory stack, for more explanation consider that code: public static int triangle(int n) { System.out.println(“Entering: n = ” + n); if (n == 1) { System.out.println(“Returning 1”); return 1; } else { int temp = n + triangle(n - 1); System.out.println(“Returning“ + temp); return temp; } }? in this example where will the values 2,3,4,5 be stored until the function returns ? note that they will be returned in LIFO(LastInFirstOut) is these a special case of recursion that deals with the memory stack or they always goes together?

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  • Move million records from MEMORY table to MYISAM table.

    - by Prashant
    Hi, I am looking for a fast way to move records from a MEMORY table to MYISAM table. MEMORY table has around 0.5 million records. Both tables have exactly the same structure (same number of columns, data types etc.). But the MYISAM table is indexed (B-TREE) on a few columns. There are around 25 columns most of which are unsigned integers. I have already tried using "INSERT INTO SELECT * FROM " query. But is there any faster way to do this? Appreciate your help. Prashant

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