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  • How: Start an Activity inside a Thread and use finish() to get back.

    - by Kirk Becker
    Hello, I am programming a game on android. I'm using a Thread while calling a Surface View class to update and draw my game. Inside the update I wanted to start an activity based on if the game has just started and this would launch my MENUS. My Thread for the most part.. while (myThreadRun) { Canvas c = null; try { gameTime = System.currentTimeMillis(); c = myThreadSurfaceHolder.lockCanvas(null); synchronized (myThreadSurfaceHolder) { // Update Game. myThreadSurfaceView.onUpdate(); // Draw Game. myThreadSurfaceView.onDraw(c); You can see there where I am updating the game... here is onUpdate(); protected void onUpdate() { // Test if menu needs to be displayed. while (thread.getMenu()) { // Test if menu activity has been started. if (thread.getMenuRunning() == false) { Intent menuIntent = new Intent(this.getContext(), MyMenu.class); ((Activity) cxt).startActivityForResult(menuIntent, 1); thread.setMenuRunning(true); } } I am using a while loop because if I didn't use it the thread just keeps going. Basically I just don't know how to implement my menus using a thread as a game loop. Everywhere I look it seems like that's best practice. In my menu activity I just display the menu layout and a few buttons and when the person wants to start the game it uses finish() to go back to my thread where they play the game. I am very new to this so any insight will be helpful, Thanks

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  • Synchronized Enumerator in C#

    - by Dan Bryant
    I'm putting together a custom SynchronizedCollection<T> class so that I can have a synchronized Observable collection for my WPF application. The synchronization is provided via a ReaderWriterLockSlim, which, for the most part, has been easy to apply. The case I'm having trouble with is how to provide thread-safe enumeration of the collection. I've created a custom IEnumerator<T> nested class that looks like this: private class SynchronizedEnumerator : IEnumerator<T> { private SynchronizedCollection<T> _collection; private int _currentIndex; internal SynchronizedEnumerator(SynchronizedCollection<T> collection) { _collection = collection; _collection._lock.EnterReadLock(); _currentIndex = -1; } #region IEnumerator<T> Members public T Current { get; private set;} #endregion #region IDisposable Members public void Dispose() { var collection = _collection; if (collection != null) collection._lock.ExitReadLock(); _collection = null; } #endregion #region IEnumerator Members object System.Collections.IEnumerator.Current { get { return Current; } } public bool MoveNext() { var collection = _collection; if (collection == null) throw new ObjectDisposedException("SynchronizedEnumerator"); _currentIndex++; if (_currentIndex >= collection.Count) { Current = default(T); return false; } Current = collection[_currentIndex]; return true; } public void Reset() { if (_collection == null) throw new ObjectDisposedException("SynchronizedEnumerator"); _currentIndex = -1; Current = default(T); } #endregion } My concern, however, is that if the Enumerator is not Disposed, the lock will never be released. In most use cases, this is not a problem, as foreach should properly call Dispose. It could be a problem, however, if a consumer retrieves an explicit Enumerator instance. Is my only option to document the class with a caveat implementer reminding the consumer to call Dispose if using the Enumerator explicitly or is there a way to safely release the lock during finalization? I'm thinking not, since the finalizer doesn't even run on the same thread, but I was curious if there other ways to improve this.

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  • Synchronized IEnumerator<T>

    - by Dan Bryant
    I'm putting together a custom SynchronizedCollection<T> class so that I can have a synchronized Observable collection for my WPF application. The synchronization is provided via a ReaderWriterLockSlim, which, for the most part, has been easy to apply. The case I'm having trouble with is how to provide thread-safe enumeration of the collection. I've created a custom IEnumerator<T> nested class that looks like this: private class SynchronizedEnumerator : IEnumerator<T> { private SynchronizedCollection<T> _collection; private int _currentIndex; internal SynchronizedEnumerator(SynchronizedCollection<T> collection) { _collection = collection; _collection._lock.EnterReadLock(); _currentIndex = -1; } #region IEnumerator<T> Members public T Current { get; private set;} #endregion #region IDisposable Members public void Dispose() { var collection = _collection; if (collection != null) collection._lock.ExitReadLock(); _collection = null; } #endregion #region IEnumerator Members object System.Collections.IEnumerator.Current { get { return Current; } } public bool MoveNext() { var collection = _collection; if (collection == null) throw new ObjectDisposedException("SynchronizedEnumerator"); _currentIndex++; if (_currentIndex >= collection.Count) { Current = default(T); return false; } Current = collection[_currentIndex]; return true; } public void Reset() { if (_collection == null) throw new ObjectDisposedException("SynchronizedEnumerator"); _currentIndex = -1; Current = default(T); } #endregion } My concern, however, is that if the Enumerator is not Disposed, the lock will never be released. In most use cases, this is not a problem, as foreach should properly call Dispose. It could be a problem, however, if a consumer retrieves an explicit Enumerator instance. Is my only option to document the class with a caveat implementer reminding the consumer to call Dispose if using the Enumerator explicitly or is there a way to safely release the lock during finalization? I'm thinking not, since the finalizer doesn't even run on the same thread, but I was curious if there other ways to improve this. EDIT After thinking about this a bit and reading the responses (particular thanks to Hans), I've decided this is definitely a bad idea. The biggest issue actually isn't forgetting to Dispose, but rather a leisurely consumer creating deadlock while enumerating. I now only read-lock long enough to get a copy and return the enumerator for the copy.

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  • Variable lenght arguments in log4cxx LOG4CXX_ macros

    - by Horacio
    I am using log4cxx in a big C++ project but I really don't like how log4cxx handles multiple variables when logging: LOG4CXX_DEBUG(logger, "test " << var1 << " and " << var3 " and .....) I prefer using printf like variable length arguments: LOG4CXX_DEBUG(logger, "test %d and %d", var1, var3) So I implemented this small wrapper on top of log4cxx #include <string.h> #include <stdio.h> #include <stdarg.h> #include <log4cxx/logger.h> #include "log4cxx/basicconfigurator.h" const char * log_format(const char *fmt, ...); #define MYLOG_TRACE(logger, fmt, ...) LOG4CXX_TRACE(logger, log_format(fmt, ## __VA_ARGS__)) #define MYLOG_DEBUG(logger, fmt, ...) LOG4CXX_DEBUG(logger, log_format(fmt, ## __VA_ARGS__)) #define MYLOG_INFO(logger, fmt, ...) LOG4CXX_INFO(logger, log_format(fmt, ## __VA_ARGS__)) #define MYLOG_WARN(logger, fmt, ...) LOG4CXX_WARN(logger, log_format(fmt, ## __VA_ARGS__)) #define MYLOG_ERROR(logger, fmt, ...) LOG4CXX_ERROR(logger, log_format(fmt, ## __VA_ARGS__)) #define MYLOG_FATAL(logger, fmt, ...) LOG4CXX_FATAL(logger, log_format(fmt, ## __VA_ARGS__)) static log4cxx::LoggerPtr logger(log4cxx::Logger::getRootLogger()); int main(int argc, char **argv) { log4cxx::BasicConfigurator::configure(); MYLOG_INFO(logger, "Start "); MYLOG_WARN(logger, log_format("In running this in %d threads safe?", 1000)); MYLOG_INFO(logger, "End "); return 0; } const char *log_format(const char *fmt, ...) { va_list va; static char formatted[1024]; va_start(va, fmt); vsprintf(formatted, 1024, fmt, va); va_end(va); return formatted; } And this works perfectly but I know using that static variable (formatted) can become problematic if I start using threads and each thread logging to the same place. I am no expert in log4cxx so I was wondering if the LOG4CXX macros are handling concurrent thread access automatically? or do I have to implement some sort of locking around the log_format method? something that I wan't to avoid due to performance implications. Also I would like to ask why if I replace the vsprintf inside the log_format method with vsnprintf (that is more secure) then I get nothing printed? To compile and test this program (in Ubuntu) use : g++ -o loggertest loggertest.cpp -llog4cxx

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  • Unmanaged Code calling leads to heavy memory leak!!

    - by konnychen
    Maybe I need change the title as "Unmanaged Code calling leads to heavy memory leak!" The leak is around 30M/hour I think maybe I need complete my code here because the memory leak maybe not from a static string whereas my real code derive this string from external device (see new code attached). so I handle also unmanaged code. Could it be possible the leak comes from unmanaged code? But I freed the resouce by Marshal.FreeCoTaskMem(pos); oThread2 = new Thread(new ThreadStart(Cyclic_Call)); oThread2.Start(); delegate void SetText_lab_Statubar(string text); private void m_SetText_lab_Statubar(string text) { if (this.lab_Statubar.InvokeRequired) { SetText_lab_Statubar d = new SetText_lab_Statubar(m_SetText_lab_Statubar); this.Invoke(d, new object[] { text }); } else { this.lab_Statubar.Text = text; } } private void Cyclic_Call() { do { //... ... ReadMatrixCode(Station6, 0, str_Code); this.m_SetText_lab_Statubar(str_Code[4]); Thread.Sleep(100); } while (!b_AbortThraed); } private void ReadMatrixCode(Station st, int ItemNr, string[] str_Code) { IntPtr pItemStates = IntPtr.Zero; IntPtr pErrors = IntPtr.Zero; int NumItems = itemServerHandles.Length; m_SyncIO.Read(DataSrc, NumItems, itemServerHandles, out pItemStates, out pErrors); // This calls external dll which has some of "out IntPtr" errors = new int[NumItems]; Marshal.Copy(pErrors, errors, 0, NumItems); IntPtr pos = pItemStates; // Now get the read values and check errors for (int dwCount = 0; dwCount < NumItems; dwCount++) { result[dwCount] = (ITEMSTATE)Marshal.PtrToStructure(pos, typeof(ITEMSTATE)); pos = (IntPtr)(pos.ToInt32() + Marshal.SizeOf(typeof(ITEMSTATE))); } // Free allocated COM-ressouces Marshal.FreeCoTaskMem(pItemStates); Marshal.FreeCoTaskMem(pErrors); pItemStates = IntPtr.Zero; pErrors = IntPtr.Zero; } m_syncIO is a class and finally it will call COM component which is defined below [Guid("39C12B52-011E-11D0-9675-1020AFD8ADB3")] [InterfaceType(1)] [ComConversionLoss] public interface ISyncIO { void Read(DATASOURCE dwSource, int dwCount, int[] phServer, out IntPtr ppItemValues, out IntPtr ppErrors); void Write(int dwCount, int[] phServer, object[] pItemValues, out IntPtr ppErrors); }

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  • Run a external program with specified max running time

    - by jack
    I want to execute an external program in each thread of a multi-threaded python program. Let's say max running time is set to 1 second. If started process completes within 1 second, main program capture its output for further processing. If it doesn't finishes in 1 second, main program just terminate it and start another new process. How to implement this?

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  • Are +=, |=, &= etc atomic?

    - by SF.
    Are the "modify" operators like +=, |=, &= etc atomic? I know ++ is atomic (if you perform x++; in two different threads "simultaneously", you will always end up with x increased by 2, as opposed to x=x+1 with optimization switched off.) What I wonder is whether variable |= constant, and the likes are thread-safe or do I have to protect them with a mutex? (...or is it CPU-dependent? In this case, how is it on ARM?)

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  • Abort call to unmanaged DLL

    - by phq
    I have an unmanaged DLL with a function that can run for a long time if the input parameter is a large value, sometimes that is desirable but not always. How can I in c# call this function so that I can abort it when needed? So far I have tried to put the call in a separate thread, but neither interrupt nor abort seem to stop the process, which runs at 100% CPU until the dll is done. Is it possible to terminate the running dll code?

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  • Sockets and multithreading

    - by V0idExp
    Hi to all! I have an interesting (to me) problem... There are two threads, one for capturing data from std input and sending it through socket to server, and another one which receives data from blocking socket. So, when there's no reply from server, recv() call waits indefenitely, right? But instead of blocking only its calling thread, it blocks the overall process! Why this thing occurs?

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  • ldd output showing shared object file whose function is not called

    - by iamrohitbanga
    I ran ldd command on an executable created by Open MPI. It shows a reference to libpthread.so Using LD_PRELOAD variable I created my own implementation of pthread_create, but from the it output it seems that MPI implementation is not calling pthread_create as I had expected. Why does ldd show pthread so file in output if it is not being used? does Open MPI not use a separate MPI thread for every node to implement the functionality?

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  • Do the changes to cpumask using sched_setaffinity() take place immediately

    - by Sukanto
    I am writing a linux kernel module that needs to pin two threads on two different cpus. I am planning to use sched_setaffinity() after exporting it in the kernel. Is there any other exported function for the same ? Also, if I set only 1 CPU in the cpumask, will the thread be moved to that cpu with immediate effect ? If not, how do I enforce the same ? Will it help to call schedule() just after sched_setaffinity() ?

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  • Why do two patterns (/.*) and (.*) match different strings? @per-directory (.htaccess) mod_rewrite RewriteRule

    - by Leftium
    Shouldn't the two patterns (/.*) and (.*) match the same string? My real question is actually: where did the "abc" go? Something funky seems to be happening inside the mod_rewrite engine... Given this .htaccess file in www/dir/: Options +FollowSymlinks RewriteEngine on RewriteRule (/.*) print_url_args.php?result=$1 A request for http://localhost/dir/abc/123/ results in: result ($1) = "/123/" $_REQUEST_URI = "/dir/abc/123/" If the / is removed from the pattern like RewriteRule (.*) print_url_args.php?result=$1 The same request for http://localhost/dir/abc/123/ results in: result ($1) = "print_url_args.php" $_REQUEST_URI = "/dir/abc/123/" update: posted rewrite log. 127.0.0.1 - - [15/Feb/2011:14:21:51 +0900] [localhost/sid#1333140][rid#23cd4a8/initial] (3) [perdir C:/db/www/dir/] add path info postfix: C:/db/www/dir/abc - C:/db/www/dir/abc/123/ 127.0.0.1 - - [15/Feb/2011:14:21:51 +0900] [localhost/sid#1333140][rid#23cd4a8/initial] (3) [perdir C:/db/www/dir/] strip per-dir prefix: C:/db/www/dir/abc/123/ - abc/123/ 127.0.0.1 - - [15/Feb/2011:14:21:51 +0900] [localhost/sid#1333140][rid#23cd4a8/initial] (3) [perdir C:/db/www/dir/] applying pattern '(/.*)$' to uri 'abc/123/' 127.0.0.1 - - [15/Feb/2011:14:21:51 +0900] [localhost/sid#1333140][rid#23cd4a8/initial] (2) [perdir C:/db/www/dir/] rewrite 'abc/123/' - 'print_url_args.php?result=/123/' 127.0.0.1 - - [15/Feb/2011:14:21:51 +0900] [localhost/sid#1333140][rid#23cd4a8/initial] (3) split uri=print_url_args.php?result=/123/ - uri=print_url_args.php, args=result=/123/ 127.0.0.1 - - [15/Feb/2011:14:21:51 +0900] [localhost/sid#1333140][rid#23cd4a8/initial] (3) [perdir C:/db/www/dir/] add per-dir prefix: print_url_args.php - C:/db/www/dir/print_url_args.php 127.0.0.1 - - [15/Feb/2011:14:21:51 +0900] [localhost/sid#1333140][rid#23cd4a8/initial] (2) [perdir C:/db/www/dir/] strip document_root prefix: C:/db/www/dir/print_url_args.php - /dir/print_url_args.php 127.0.0.1 - - [15/Feb/2011:14:21:51 +0900] [localhost/sid#1333140][rid#23cd4a8/initial] (1) [perdir C:/db/www/dir/] internal redirect with /dir/print_url_args.php [INTERNAL REDIRECT] 127.0.0.1 - - [15/Feb/2011:14:21:51 +0900] [localhost/sid#1333140][rid#43833c8/initial/redir#1] (3) [perdir C:/db/www/dir/] strip per-dir prefix: C:/db/www/dir/print_url_args.php - print_url_args.php 127.0.0.1 - - [15/Feb/2011:14:21:51 +0900] [localhost/sid#1333140][rid#43833c8/initial/redir#1] (3) [perdir C:/db/www/dir/] applying pattern '(/.*)$' to uri 'print_url_args.php' 127.0.0.1 - - [15/Feb/2011:14:21:51 +0900] [localhost/sid#1333140][rid#43833c8/initial/redir#1] (1) [perdir C:/db/www/dir/] pass through C:/db/www/dir/print_url_args.php 127.0.0.1 - - [15/Feb/2011:14:24:54 +0900] [localhost/sid#1333140][rid#23bf470/initial] (3) [perdir C:/db/www/dir/] add path info postfix: C:/db/www/dir/abc - C:/db/www/dir/abc/123/ 127.0.0.1 - - [15/Feb/2011:14:24:54 +0900] [localhost/sid#1333140][rid#23bf470/initial] (3) [perdir C:/db/www/dir/] strip per-dir prefix: C:/db/www/dir/abc/123/ - abc/123/ 127.0.0.1 - - [15/Feb/2011:14:24:54 +0900] [localhost/sid#1333140][rid#23bf470/initial] (3) [perdir C:/db/www/dir/] applying pattern '(.*)$' to uri 'abc/123/' 127.0.0.1 - - [15/Feb/2011:14:24:54 +0900] [localhost/sid#1333140][rid#23bf470/initial] (2) [perdir C:/db/www/dir/] rewrite 'abc/123/' - 'print_url_args.php?result=abc/123/' 127.0.0.1 - - [15/Feb/2011:14:24:54 +0900] [localhost/sid#1333140][rid#23bf470/initial] (3) split uri=print_url_args.php?result=abc/123/ - uri=print_url_args.php, args=result=abc/123/ 127.0.0.1 - - [15/Feb/2011:14:24:54 +0900] [localhost/sid#1333140][rid#23bf470/initial] (3) [perdir C:/db/www/dir/] add per-dir prefix: print_url_args.php - C:/db/www/dir/print_url_args.php 127.0.0.1 - - [15/Feb/2011:14:24:54 +0900] [localhost/sid#1333140][rid#23bf470/initial] (2) [perdir C:/db/www/dir/] strip document_root prefix: C:/db/www/dir/print_url_args.php - /dir/print_url_args.php 127.0.0.1 - - [15/Feb/2011:14:24:54 +0900] [localhost/sid#1333140][rid#23bf470/initial] (1) [perdir C:/db/www/dir/] internal redirect with /dir/print_url_args.php [INTERNAL REDIRECT] 127.0.0.1 - - [15/Feb/2011:14:24:54 +0900] [localhost/sid#1333140][rid#23fda10/initial/redir#1] (3) [perdir C:/db/www/dir/] strip per-dir prefix: C:/db/www/dir/print_url_args.php - print_url_args.php 127.0.0.1 - - [15/Feb/2011:14:24:54 +0900] [localhost/sid#1333140][rid#23fda10/initial/redir#1] (3) [perdir C:/db/www/dir/] applying pattern '(.*)$' to uri 'print_url_args.php' 127.0.0.1 - - [15/Feb/2011:14:24:54 +0900] [localhost/sid#1333140][rid#23fda10/initial/redir#1] (2) [perdir C:/db/www/dir/] rewrite 'print_url_args.php' - 'print_url_args.php?result=print_url_args.php' 127.0.0.1 - - [15/Feb/2011:14:24:54 +0900] [localhost/sid#1333140][rid#23fda10/initial/redir#1] (3) split uri=print_url_args.php?result=print_url_args.php - uri=print_url_args.php, args=result=print_url_args.php 127.0.0.1 - - [15/Feb/2011:14:24:54 +0900] [localhost/sid#1333140][rid#23fda10/initial/redir#1] (3) [perdir C:/db/www/dir/] add per-dir prefix: print_url_args.php - C:/db/www/dir/print_url_args.php 127.0.0.1 - - [15/Feb/2011:14:24:54 +0900] [localhost/sid#1333140][rid#23fda10/initial/redir#1] (1) [perdir C:/db/www/dir/] initial URL equal rewritten URL: C:/db/www/dir/print_url_args.php [IGNORING REWRITE]

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  • How soon does nginx's token bucket replenish when limiting at requests per minute?

    - by Michael Gorsuch
    Hi all. We've decided that we want to experiment and limit requests per minute instead of requests per second on our sites. However, I am confused by the burst parameter in this context. I am under the impression that when you use the 'nodelay' flag, the rate limiting facility acts like a token bucket instead of a leaky bucket. That being the case, the bucket size is equal to the burst parameter, and every time that you violate the policy (say 1 req/s), you have to put a token in the bucket. Once the bucket is full (being equal to the burst setting), you are given a 503 error page. I am also under the impression that once a violator stops going against the policy, a token is removed from the bucket at a rate of 1 token/s allowing him to regain access to the site. Assuming that I have the above correct, my question is what happens when I start regulating access per minute? If we chose 60 requests per minute, at what rate does the token bucket replenish?

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  • SQL IO and SAN troubles

    - by James
    We are running two servers with identical software setup but different hardware. The first one is a VM on VMWare on a normal tower server with dual core xeons, 16 GB RAM and a 7200 RPM drive. The second one is a VM on XenServer on a powerful brand new rack server, with 4 core xeons and shared storage. We are running Dynamics AX 2012 and SQL Server 2008 R2. When I insert 15 000 records into a table on the slow tower server (as a test), it does so in 13 seconds. On the fast server it takes 33 seconds. I re-ran these tests several times with the same results. I have a feeling it is some sort of IO bottleneck, so I ran SQLIO on both. Here are the results for the slow tower server: C:\Program Files (x86)\SQLIO>test.bat C:\Program Files (x86)\SQLIO>sqlio -kW -t8 -s120 -o8 -frandom -b8 -BH -LS C:\Tes tFile.dat sqlio v1.5.SG using system counter for latency timings, 14318180 counts per second 8 threads writing for 120 secs to file C:\TestFile.dat using 8KB random IOs enabling multiple I/Os per thread with 8 outstanding buffering set to use hardware disk cache (but not file cache) using current size: 5120 MB for file: C:\TestFile.dat initialization done CUMULATIVE DATA: throughput metrics: IOs/sec: 226.97 MBs/sec: 1.77 latency metrics: Min_Latency(ms): 0 Avg_Latency(ms): 281 Max_Latency(ms): 467 histogram: ms: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24+ %: 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 99 C:\Program Files (x86)\SQLIO>sqlio -kR -t8 -s120 -o8 -frandom -b8 -BH -LS C:\Tes tFile.dat sqlio v1.5.SG using system counter for latency timings, 14318180 counts per second 8 threads reading for 120 secs from file C:\TestFile.dat using 8KB random IOs enabling multiple I/Os per thread with 8 outstanding buffering set to use hardware disk cache (but not file cache) using current size: 5120 MB for file: C:\TestFile.dat initialization done CUMULATIVE DATA: throughput metrics: IOs/sec: 91.34 MBs/sec: 0.71 latency metrics: Min_Latency(ms): 14 Avg_Latency(ms): 699 Max_Latency(ms): 1124 histogram: ms: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24+ %: 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 100 C:\Program Files (x86)\SQLIO>sqlio -kW -t8 -s120 -o8 -fsequential -b64 -BH -LS C :\TestFile.dat sqlio v1.5.SG using system counter for latency timings, 14318180 counts per second 8 threads writing for 120 secs to file C:\TestFile.dat using 64KB sequential IOs enabling multiple I/Os per thread with 8 outstanding buffering set to use hardware disk cache (but not file cache) using current size: 5120 MB for file: C:\TestFile.dat initialization done CUMULATIVE DATA: throughput metrics: IOs/sec: 1094.50 MBs/sec: 68.40 latency metrics: Min_Latency(ms): 0 Avg_Latency(ms): 58 Max_Latency(ms): 467 histogram: ms: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24+ %: 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 100 C:\Program Files (x86)\SQLIO>sqlio -kR -t8 -s120 -o8 -fsequential -b64 -BH -LS C :\TestFile.dat sqlio v1.5.SG using system counter for latency timings, 14318180 counts per second 8 threads reading for 120 secs from file C:\TestFile.dat using 64KB sequential IOs enabling multiple I/Os per thread with 8 outstanding buffering set to use hardware disk cache (but not file cache) using current size: 5120 MB for file: C:\TestFile.dat initialization done CUMULATIVE DATA: throughput metrics: IOs/sec: 1155.31 MBs/sec: 72.20 latency metrics: Min_Latency(ms): 17 Avg_Latency(ms): 55 Max_Latency(ms): 205 histogram: ms: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24+ %: 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 100 Here are the results of the fast rack server: C:\Program Files (x86)\SQLIO>test.bat C:\Program Files (x86)\SQLIO>sqlio -kW -t8 -s120 -o8 -frandom -b8 -BH -LS E:\Tes tFile.dat sqlio v1.5.SG using system counter for latency timings, 62500000 counts per second 8 threads writing for 120 secs to file E:\TestFile.dat using 8KB random IOs enabling multiple I/Os per thread with 8 outstanding buffering set to use hardware disk cache (but not file cache) open_file: CreateFile (E:\TestFile.dat for write): The system cannot find the pa th specified. exiting C:\Program Files (x86)\SQLIO>sqlio -kR -t8 -s120 -o8 -frandom -b8 -BH -LS E:\Tes tFile.dat sqlio v1.5.SG using system counter for latency timings, 62500000 counts per second 8 threads reading for 120 secs from file E:\TestFile.dat using 8KB random IOs enabling multiple I/Os per thread with 8 outstanding buffering set to use hardware disk cache (but not file cache) open_file: CreateFile (E:\TestFile.dat for read): The system cannot find the pat h specified. exiting C:\Program Files (x86)\SQLIO>sqlio -kW -t8 -s120 -o8 -fsequential -b64 -BH -LS E :\TestFile.dat sqlio v1.5.SG using system counter for latency timings, 62500000 counts per second 8 threads writing for 120 secs to file E:\TestFile.dat using 64KB sequential IOs enabling multiple I/Os per thread with 8 outstanding buffering set to use hardware disk cache (but not file cache) open_file: CreateFile (E:\TestFile.dat for write): The system cannot find the pa th specified. exiting C:\Program Files (x86)\SQLIO>sqlio -kR -t8 -s120 -o8 -fsequential -b64 -BH -LS E :\TestFile.dat sqlio v1.5.SG using system counter for latency timings, 62500000 counts per second 8 threads reading for 120 secs from file E:\TestFile.dat using 64KB sequential IOs enabling multiple I/Os per thread with 8 outstanding buffering set to use hardware disk cache (but not file cache) open_file: CreateFile (E:\TestFile.dat for read): The system cannot find the pat h specified. exiting C:\Program Files (x86)\SQLIO>test.bat C:\Program Files (x86)\SQLIO>sqlio -kW -t8 -s120 -o8 -frandom -b8 -BH -LS c:\Tes tFile.dat sqlio v1.5.SG using system counter for latency timings, 62500000 counts per second 8 threads writing for 120 secs to file c:\TestFile.dat using 8KB random IOs enabling multiple I/Os per thread with 8 outstanding buffering set to use hardware disk cache (but not file cache) using current size: 5120 MB for file: c:\TestFile.dat initialization done CUMULATIVE DATA: throughput metrics: IOs/sec: 2575.77 MBs/sec: 20.12 latency metrics: Min_Latency(ms): 1 Avg_Latency(ms): 24 Max_Latency(ms): 655 histogram: ms: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24+ %: 0 0 0 5 8 9 9 9 8 5 3 1 1 1 1 0 0 0 0 0 0 0 0 0 37 C:\Program Files (x86)\SQLIO>sqlio -kR -t8 -s120 -o8 -frandom -b8 -BH -LS c:\Tes tFile.dat sqlio v1.5.SG using system counter for latency timings, 62500000 counts per second 8 threads reading for 120 secs from file c:\TestFile.dat using 8KB random IOs enabling multiple I/Os per thread with 8 outstanding buffering set to use hardware disk cache (but not file cache) using current size: 5120 MB for file: c:\TestFile.dat initialization done CUMULATIVE DATA: throughput metrics: IOs/sec: 1141.39 MBs/sec: 8.91 latency metrics: Min_Latency(ms): 1 Avg_Latency(ms): 55 Max_Latency(ms): 652 histogram: ms: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24+ %: 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 91 C:\Program Files (x86)\SQLIO>sqlio -kW -t8 -s120 -o8 -fsequential -b64 -BH -LS c :\TestFile.dat sqlio v1.5.SG using system counter for latency timings, 62500000 counts per second 8 threads writing for 120 secs to file c:\TestFile.dat using 64KB sequential IOs enabling multiple I/Os per thread with 8 outstanding buffering set to use hardware disk cache (but not file cache) using current size: 5120 MB for file: c:\TestFile.dat initialization done CUMULATIVE DATA: throughput metrics: IOs/sec: 341.37 MBs/sec: 21.33 latency metrics: Min_Latency(ms): 5 Avg_Latency(ms): 186 Max_Latency(ms): 120037 histogram: ms: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24+ %: 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 100 C:\Program Files (x86)\SQLIO>sqlio -kR -t8 -s120 -o8 -fsequential -b64 -BH -LS c :\TestFile.dat sqlio v1.5.SG using system counter for latency timings, 62500000 counts per second 8 threads reading for 120 secs from file c:\TestFile.dat using 64KB sequential IOs enabling multiple I/Os per thread with 8 outstanding buffering set to use hardware disk cache (but not file cache) using current size: 5120 MB for file: c:\TestFile.dat initialization done CUMULATIVE DATA: throughput metrics: IOs/sec: 1024.07 MBs/sec: 64.00 latency metrics: Min_Latency(ms): 5 Avg_Latency(ms): 61 Max_Latency(ms): 81632 histogram: ms: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24+ %: 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 100 Three of the four tests are, to my mind, within reasonable parameters for the rack server. However, the 64 write test is incredibly slow on the rack server. (68 mb/sec on the slow tower vs 21 mb/s on the rack). The read speed for 64k also seems slow. Is this enough to say there is some sort of bottleneck with the shared storage? I need to know if I can take this evidence and say we need to launch an investigation into this. Any help is appreciated.

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  • How soon does nginx's token bucket replenish when limiting at requests per minute?

    - by Michael Gorsuch
    We've decided that we want to experiment and limit requests per minute instead of requests per second on our sites. However, I am confused by the burst parameter in this context. I am under the impression that when you use the 'nodelay' flag, the rate limiting facility acts like a token bucket instead of a leaky bucket. That being the case, the bucket size is equal to the burst parameter, and every time that you violate the policy (say 1 req/s), you have to put a token in the bucket. Once the bucket is full (being equal to the burst setting), you are given a 503 error page. I am also under the impression that once a violator stops going against the policy, a token is removed from the bucket at a rate of 1 token/s allowing him to regain access to the site. Assuming that I have the above correct, my question is what happens when I start regulating access per minute? If we chose 60 requests per minute, at what rate does the token bucket replenish?

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  • How many megabytes per second may I expect from a gigabit USB 2.0 network card under linux?

    - by Nakedible
    I'm interested in the actual real-word throughput attainable with an external 1000BaseT USB 2.0 network card under Linux. I have been able to attain 90 megabytes per second on a PCI-E interface, but the USB 2.0 bus has a theoretical limit of 480Mbit/s, and in practice less than 40 megabytes per second. Is the actual throughput attainable with such a card under linux 40, 30, 20, or even as low as 10 megabytes per second, eg. no better than a normal 100BaseT network card?

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  • How many guesses per second are possible against an encrypted disk? [closed]

    - by HappyDeveloper
    I understand that guesses per second depends on the hardware and the encryption algorithm, so I don't expect an absolute number as answer. For example, with an average machine you can make a lot (thousands?) of guesses per second for a hash created with a single md5 round, because md5 is fast, making brute force and dictionary attacks a real danger for most passwords. But if instead you use bcrypt with enough rounds, you can slow the attack down to 1 guess per second, for example. 1) So how does disk encryption usually work? This is how I imagine it, tell me if it is close to reality: When I enter the passphrase, it is hashed with a slow algorithm to generate a key (always the same?). Because this is slow, brute force is not a good approach to break it. Then, with the generated key, the disk is unencrypted on the fly very fast, so there is not a significant performance lose. 2) How can I test this with my own machine? I want to calculate the guesses per second my machine can make. 3) How many guesses per second are possible against an encrypted disk with the fastest PC ever so far?

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  • Is it possible to restrict the connection duration per client on the router (say with OpenWRT)?

    - by static
    How to limit the connection duration per client per period (say, one MAC-address can connect only for 3 hours per week to the network). Where could be defined such a rule? In the firewall? So the rule should define not statically times (this is simple), when the client is allowed to access the network, but the duration of the connection per day/week/month, etc. How/where to implement such rules? Is it possible to do so with OpenWRT/DD-WRT?

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  • Parallelism in .NET – Part 15, Making Tasks Run: The TaskScheduler

    - by Reed
    In my introduction to the Task class, I specifically made mention that the Task class does not directly provide it’s own execution.  In addition, I made a strong point that the Task class itself is not directly related to threads or multithreading.  Rather, the Task class is used to implement our decomposition of tasks.  Once we’ve implemented our tasks, we need to execute them.  In the Task Parallel Library, the execution of Tasks is handled via an instance of the TaskScheduler class. The TaskScheduler class is an abstract class which provides a single function: it schedules the tasks and executes them within an appropriate context.  This class is the class which actually runs individual Task instances.  The .NET Framework provides two (internal) implementations of the TaskScheduler class. Since a Task, based on our decomposition, should be a self-contained piece of code, parallel execution makes sense when executing tasks.  The default implementation of the TaskScheduler class, and the one most often used, is based on the ThreadPool.  This can be retrieved via the TaskScheduler.Default property, and is, by default, what is used when we just start a Task instance with Task.Start(). Normally, when a Task is started by the default TaskScheduler, the task will be treated as a single work item, and run on a ThreadPool thread.  This pools tasks, and provides Task instances all of the advantages of the ThreadPool, including thread pooling for reduced resource usage, and an upper cap on the number of work items.  In addition, .NET 4 brings us a much improved thread pool, providing work stealing and reduced locking within the thread pool queues.  By using the default TaskScheduler, our Tasks are run asynchronously on the ThreadPool. There is one notable exception to my above statements when using the default TaskScheduler.  If a Task is created with the TaskCreationOptions set to TaskCreationOptions.LongRunning, the default TaskScheduler will generate a new thread for that Task, at least in the current implementation.  This is useful for Tasks which will persist for most of the lifetime of your application, since it prevents your Task from starving the ThreadPool of one of it’s work threads. The Task Parallel Library provides one other implementation of the TaskScheduler class.  In addition to providing a way to schedule tasks on the ThreadPool, the framework allows you to create a TaskScheduler which works within a specified SynchronizationContext.  This scheduler can be retrieved within a thread that provides a valid SynchronizationContext by calling the TaskScheduler.FromCurrentSynchronizationContext() method. This implementation of TaskScheduler is intended for use with user interface development.  Windows Forms and Windows Presentation Foundation both require any access to user interface controls to occur on the same thread that created the control.  For example, if you want to set the text within a Windows Forms TextBox, and you’re working on a background thread, that UI call must be marshaled back onto the UI thread.  The most common way this is handled depends on the framework being used.  In Windows Forms, Control.Invoke or Control.BeginInvoke is most often used.  In WPF, the equivelent calls are Dispatcher.Invoke or Dispatcher.BeginInvoke. As an example, say we’re working on a background thread, and we want to update a TextBlock in our user interface with a status label.  The code would typically look something like: // Within background thread work... string status = GetUpdatedStatus(); Dispatcher.BeginInvoke(DispatcherPriority.Normal, new Action( () => { statusLabel.Text = status; })); // Continue on in background method .csharpcode, .csharpcode pre { font-size: small; color: black; font-family: consolas, "Courier New", courier, monospace; background-color: #ffffff; /*white-space: pre;*/ } .csharpcode pre { margin: 0em; } .csharpcode .rem { color: #008000; } .csharpcode .kwrd { color: #0000ff; } .csharpcode .str { color: #006080; } .csharpcode .op { color: #0000c0; } .csharpcode .preproc { color: #cc6633; } .csharpcode .asp { background-color: #ffff00; } .csharpcode .html { color: #800000; } .csharpcode .attr { color: #ff0000; } .csharpcode .alt { background-color: #f4f4f4; width: 100%; margin: 0em; } .csharpcode .lnum { color: #606060; } This works fine, but forces your method to take a dependency on WPF or Windows Forms.  There is an alternative option, however.  Both Windows Forms and WPF, when initialized, setup a SynchronizationContext in their thread, which is available on the UI thread via the SynchronizationContext.Current property.  This context is used by classes such as BackgroundWorker to marshal calls back onto the UI thread in a framework-agnostic manner. The Task Parallel Library provides the same functionality via the TaskScheduler.FromCurrentSynchronizationContext() method.  When setting up our Tasks, as long as we’re working on the UI thread, we can construct a TaskScheduler via: TaskScheduler uiScheduler = TaskScheduler.FromCurrentSynchronizationContext(); We then can use this scheduler on any thread to marshal data back onto the UI thread.  For example, our code above can then be rewritten as: string status = GetUpdatedStatus(); (new Task(() => { statusLabel.Text = status; })) .Start(uiScheduler); // Continue on in background method This is nice since it allows us to write code that isn’t tied to Windows Forms or WPF, but is still fully functional with those technologies.  I’ll discuss even more uses for the SynchronizationContext based TaskScheduler when I demonstrate task continuations, but even without continuations, this is a very useful construct. In addition to the two implementations provided by the Task Parallel Library, it is possible to implement your own TaskScheduler.  The ParallelExtensionsExtras project within the Samples for Parallel Programming provides nine sample TaskScheduler implementations.  These include schedulers which restrict the maximum number of concurrent tasks, run tasks on a single threaded apartment thread, use a new thread per task, and more.

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