Search Results

Search found 19625 results on 785 pages for 'local groups'.

Page 121/785 | < Previous Page | 117 118 119 120 121 122 123 124 125 126 127 128  | Next Page >

  • Parallelism in .NET – Part 12, More on Task Decomposition

    - by Reed
    Many tasks can be decomposed using a Data Decomposition approach, but often, this is not appropriate.  Frequently, decomposing the problem into distinctive tasks that must be performed is a more natural abstraction. However, as I mentioned in Part 1, Task Decomposition tends to be a bit more difficult than data decomposition, and can require a bit more effort.  Before we being parallelizing our algorithm based on the tasks being performed, we need to decompose our problem, and take special care of certain considerations such as ordering and grouping of tasks. Up to this point in this series, I’ve focused on parallelization techniques which are most appropriate when a problem space can be decomposed by data.  Using PLINQ and the Parallel class, I’ve shown how problem spaces where there is a collection of data, and each element needs to be processed, can potentially be parallelized. However, there are many other routines where this is not appropriate.  Often, instead of working on a collection of data, there is a single piece of data which must be processed using an algorithm or series of algorithms.  Here, there is no collection of data, but there may still be opportunities for parallelism. As I mentioned before, in cases like this, the approach is to look at your overall routine, and decompose your problem space based on tasks.  The idea here is to look for discrete “tasks,” individual pieces of work which can be conceptually thought of as a single operation. Let’s revisit the example I used in Part 1, an application startup path.  Say we want our program, at startup, to do a bunch of individual actions, or “tasks”.  The following is our list of duties we must perform right at startup: Display a splash screen Request a license from our license manager Check for an update to the software from our web server If an update is available, download it Setup our menu structure based on our current license Open and display our main, welcome Window Hide the splash screen The first step in Task Decomposition is breaking up the problem space into discrete tasks. This, naturally, can be abstracted as seven discrete tasks.  In the serial version of our program, if we were to diagram this, the general process would appear as: These tasks, obviously, provide some opportunities for parallelism.  Before we can parallelize this routine, we need to analyze these tasks, and find any dependencies between tasks.  In this case, our dependencies include: The splash screen must be displayed first, and as quickly as possible. We can’t download an update before we see whether one exists. Our menu structure depends on our license, so we must check for the license before setting up the menus. Since our welcome screen will notify the user of an update, we can’t show it until we’ve downloaded the update. Since our welcome screen includes menus that are customized based off the licensing, we can’t display it until we’ve received a license. We can’t hide the splash until our welcome screen is displayed. By listing our dependencies, we start to see the natural ordering that must occur for the tasks to be processed correctly. The second step in Task Decomposition is determining the dependencies between tasks, and ordering tasks based on their dependencies. Looking at these tasks, and looking at all the dependencies, we quickly see that even a simple decomposition such as this one can get quite complicated.  In order to simplify the problem of defining the dependencies, it’s often a useful practice to group our tasks into larger, discrete tasks.  The goal when grouping tasks is that you want to make each task “group” have as few dependencies as possible to other tasks or groups, and then work out the dependencies within that group.  Typically, this works best when any external dependency is based on the “last” task within the group when it’s ordered, although that is not a firm requirement.  This process is often called Grouping Tasks.  In our case, we can easily group together tasks, effectively turning this into four discrete task groups: 1. Show our splash screen – This needs to be left as its own task.  First, multiple things depend on this task, mainly because we want this to start before any other action, and start as quickly as possible. 2. Check for Update and Download the Update if it Exists - These two tasks logically group together.  We know we only download an update if the update exists, so that naturally follows.  This task has one dependency as an input, and other tasks only rely on the final task within this group. 3. Request a License, and then Setup the Menus – Here, we can group these two tasks together.  Although we mentioned that our welcome screen depends on the license returned, it also depends on setting up the menu, which is the final task here.  Setting up our menus cannot happen until after our license is requested.  By grouping these together, we further reduce our problem space. 4. Display welcome and hide splash - Finally, we can display our welcome window and hide our splash screen.  This task group depends on all three previous task groups – it cannot happen until all three of the previous groups have completed. By grouping the tasks together, we reduce our problem space, and can naturally see a pattern for how this process can be parallelized.  The diagram below shows one approach: The orange boxes show each task group, with each task represented within.  We can, now, effectively take these tasks, and run a large portion of this process in parallel, including the portions which may be the most time consuming.  We’ve now created two parallel paths which our process execution can follow, hopefully speeding up the application startup time dramatically. The main point to remember here is that, when decomposing your problem space by tasks, you need to: Define each discrete action as an individual Task Discover dependencies between your tasks Group tasks based on their dependencies Order the tasks and groups of tasks

    Read the article

  • Parallelism in .NET – Part 4, Imperative Data Parallelism: Aggregation

    - by Reed
    In the article on simple data parallelism, I described how to perform an operation on an entire collection of elements in parallel.  Often, this is not adequate, as the parallel operation is going to be performing some form of aggregation. Simple examples of this might include taking the sum of the results of processing a function on each element in the collection, or finding the minimum of the collection given some criteria.  This can be done using the techniques described in simple data parallelism, however, special care needs to be taken into account to synchronize the shared data appropriately.  The Task Parallel Library has tools to assist in this synchronization. The main issue with aggregation when parallelizing a routine is that you need to handle synchronization of data.  Since multiple threads will need to write to a shared portion of data.  Suppose, for example, that we wanted to parallelize a simple loop that looked for the minimum value within a dataset: double min = double.MaxValue; foreach(var item in collection) { double value = item.PerformComputation(); min = System.Math.Min(min, value); } .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 seems like a good candidate for parallelization, but there is a problem here.  If we just wrap this into a call to Parallel.ForEach, we’ll introduce a critical race condition, and get the wrong answer.  Let’s look at what happens here: // Buggy code! Do not use! double min = double.MaxValue; Parallel.ForEach(collection, item => { double value = item.PerformComputation(); min = System.Math.Min(min, value); }); This code has a fatal flaw: min will be checked, then set, by multiple threads simultaneously.  Two threads may perform the check at the same time, and set the wrong value for min.  Say we get a value of 1 in thread 1, and a value of 2 in thread 2, and these two elements are the first two to run.  If both hit the min check line at the same time, both will determine that min should change, to 1 and 2 respectively.  If element 1 happens to set the variable first, then element 2 sets the min variable, we’ll detect a min value of 2 instead of 1.  This can lead to wrong answers. Unfortunately, fixing this, with the Parallel.ForEach call we’re using, would require adding locking.  We would need to rewrite this like: // Safe, but slow double min = double.MaxValue; // Make a "lock" object object syncObject = new object(); Parallel.ForEach(collection, item => { double value = item.PerformComputation(); lock(syncObject) min = System.Math.Min(min, value); }); This will potentially add a huge amount of overhead to our calculation.  Since we can potentially block while waiting on the lock for every single iteration, we will most likely slow this down to where it is actually quite a bit slower than our serial implementation.  The problem is the lock statement – any time you use lock(object), you’re almost assuring reduced performance in a parallel situation.  This leads to two observations I’ll make: When parallelizing a routine, try to avoid locks. That being said: Always add any and all required synchronization to avoid race conditions. These two observations tend to be opposing forces – we often need to synchronize our algorithms, but we also want to avoid the synchronization when possible.  Looking at our routine, there is no way to directly avoid this lock, since each element is potentially being run on a separate thread, and this lock is necessary in order for our routine to function correctly every time. However, this isn’t the only way to design this routine to implement this algorithm.  Realize that, although our collection may have thousands or even millions of elements, we have a limited number of Processing Elements (PE).  Processing Element is the standard term for a hardware element which can process and execute instructions.  This typically is a core in your processor, but many modern systems have multiple hardware execution threads per core.  The Task Parallel Library will not execute the work for each item in the collection as a separate work item. Instead, when Parallel.ForEach executes, it will partition the collection into larger “chunks” which get processed on different threads via the ThreadPool.  This helps reduce the threading overhead, and help the overall speed.  In general, the Parallel class will only use one thread per PE in the system. Given the fact that there are typically fewer threads than work items, we can rethink our algorithm design.  We can parallelize our algorithm more effectively by approaching it differently.  Because the basic aggregation we are doing here (Min) is communitive, we do not need to perform this in a given order.  We knew this to be true already – otherwise, we wouldn’t have been able to parallelize this routine in the first place.  With this in mind, we can treat each thread’s work independently, allowing each thread to serially process many elements with no locking, then, after all the threads are complete, “merge” together the results. This can be accomplished via a different set of overloads in the Parallel class: Parallel.ForEach<TSource,TLocal>.  The idea behind these overloads is to allow each thread to begin by initializing some local state (TLocal).  The thread will then process an entire set of items in the source collection, providing that state to the delegate which processes an individual item.  Finally, at the end, a separate delegate is run which allows you to handle merging that local state into your final results. To rewriting our routine using Parallel.ForEach<TSource,TLocal>, we need to provide three delegates instead of one.  The most basic version of this function is declared as: public static ParallelLoopResult ForEach<TSource, TLocal>( IEnumerable<TSource> source, Func<TLocal> localInit, Func<TSource, ParallelLoopState, TLocal, TLocal> body, Action<TLocal> localFinally ) The first delegate (the localInit argument) is defined as Func<TLocal>.  This delegate initializes our local state.  It should return some object we can use to track the results of a single thread’s operations. The second delegate (the body argument) is where our main processing occurs, although now, instead of being an Action<T>, we actually provide a Func<TSource, ParallelLoopState, TLocal, TLocal> delegate.  This delegate will receive three arguments: our original element from the collection (TSource), a ParallelLoopState which we can use for early termination, and the instance of our local state we created (TLocal).  It should do whatever processing you wish to occur per element, then return the value of the local state after processing is completed. The third delegate (the localFinally argument) is defined as Action<TLocal>.  This delegate is passed our local state after it’s been processed by all of the elements this thread will handle.  This is where you can merge your final results together.  This may require synchronization, but now, instead of synchronizing once per element (potentially millions of times), you’ll only have to synchronize once per thread, which is an ideal situation. Now that I’ve explained how this works, lets look at the code: // Safe, and fast! double min = double.MaxValue; // Make a "lock" object object syncObject = new object(); Parallel.ForEach( collection, // First, we provide a local state initialization delegate. () => double.MaxValue, // Next, we supply the body, which takes the original item, loop state, // and local state, and returns a new local state (item, loopState, localState) => { double value = item.PerformComputation(); return System.Math.Min(localState, value); }, // Finally, we provide an Action<TLocal>, to "merge" results together localState => { // This requires locking, but it's only once per used thread lock(syncObj) min = System.Math.Min(min, localState); } ); Although this is a bit more complicated than the previous version, it is now both thread-safe, and has minimal locking.  This same approach can be used by Parallel.For, although now, it’s Parallel.For<TLocal>.  When working with Parallel.For<TLocal>, you use the same triplet of delegates, with the same purpose and results. Also, many times, you can completely avoid locking by using a method of the Interlocked class to perform the final aggregation in an atomic operation.  The MSDN example demonstrating this same technique using Parallel.For uses the Interlocked class instead of a lock, since they are doing a sum operation on a long variable, which is possible via Interlocked.Add. By taking advantage of local state, we can use the Parallel class methods to parallelize algorithms such as aggregation, which, at first, may seem like poor candidates for parallelization.  Doing so requires careful consideration, and often requires a slight redesign of the algorithm, but the performance gains can be significant if handled in a way to avoid excessive synchronization.

    Read the article

  • How to fix Ogre3d segfault with std::_Rb_tree_insert_and_rebalance ?

    - by Balázs Béla
    Hello all. I'm working on a 3d music visualizer using Ogre3d, basically it's a spectrum analizer, a lot like the old xmms plugin: (http)://www.youtube.com/watch?v=_6NKBiwYN24 It works well, the bars are drawn and updated, there are no framerate issues, but it crashes randomly. Sometimes it can run without problems, finish the song, other times it crashes instantly, other times the music just stops, without a crash. Here is the source code for the main class : https://github.com/balazsbela/OgreVisualizer/blob/master/src/VisualizerApplication.cpp#L221 Also the crashes seem to happen less often when I display the framerate overlay from Ogre samples. Would limiting the framerate help ? The crashes are seemingly random. Is it a performance issue ? Please help me out, I'm quite lost on this one, I also posted on Ogre3d forums but I received no responses. (http)://www.ogre3d.org/forums/viewtopic.php?f=2&t=63207 I also tried stackoverflow: (http)://stackoverflow.com/questions/5050147/how-to-fix-ogre3d-segfault-with-std-rb-tree-insert-and-rebalance Thank you. Backtrace: balazsbela@darknet:~/workspace/OgreVisualizer/Release$ gdb OgreVisualizer core GNU gdb (GDB) 7.2-debian Copyright (C) 2010 Free Software Foundation, Inc. License GPLv3+: GNU GPL version 3 or later <http://gnu.org/licenses/gpl.html> This is free software: you are free to change and redistribute it. There is NO WARRANTY, to the extent permitted by law. Type "show copying" and "show warranty" for details. This GDB was configured as "i486-linux-gnu". For bug reporting instructions, please see: <http://www.gnu.org/software/gdb/bugs/>... Reading symbols from /home/balazsbela/workspace/OgreVisualizer/Release/OgreVisualizer...done. [New Thread 17705] [New Thread 17702] [New Thread 17703] [New Thread 17700] Reading symbols from /usr/lib/libv4l/v4l1compat.so...(no debugging symbols found)...done. Loaded symbols for /usr/lib/libv4l/v4l1compat.so Reading symbols from /usr/local/lib/libOgreMain.so.1.7.1...done. Loaded symbols for /usr/local/lib/libOgreMain.so.1.7.1 Reading symbols from /usr/lib/libfftw3.so.3...(no debugging symbols found)...done. Loaded symbols for /usr/lib/libfftw3.so.3 Reading symbols from /usr/lib/libSDL_sound-1.0.so.1...(no debugging symbols found)...done. Loaded symbols for /usr/lib/libSDL_sound-1.0.so.1 Reading symbols from /usr/lib/libSDL-1.2.so.0...(no debugging symbols found)...done. Loaded symbols for /usr/lib/libSDL-1.2.so.0 Reading symbols from /usr/lib/libSDL_mixer-1.2.so.0...(no debugging symbols found)...done. Loaded symbols for /usr/lib/libSDL_mixer-1.2.so.0 Reading symbols from /usr/lib/libOIS-1.2.0.so...(no debugging symbols found)...done. Loaded symbols for /usr/lib/libOIS-1.2.0.so Reading symbols from /usr/lib/libstdc++.so.6...(no debugging symbols found)...done. Loaded symbols for /usr/lib/libstdc++.so.6 Reading symbols from /lib/i686/cmov/libm.so.6...Reading symbols from /usr/lib/debug/lib/i686/cmov/libm-2.11.2.so...done. done. Loaded symbols for /lib/i686/cmov/libm.so.6 Reading symbols from /lib/libgcc_s.so.1...(no debugging symbols found)...done. Loaded symbols for /lib/libgcc_s.so.1 Reading symbols from /lib/i686/cmov/libc.so.6...Reading symbols from /usr/lib/debug/lib/i686/cmov/libc-2.11.2.so...done. done. Loaded symbols for /lib/i686/cmov/libc.so.6 Reading symbols from /lib/i686/cmov/libpthread.so.0...Reading symbols from /usr/lib/debug/lib/i686/cmov/libpthread-2.11.2.so...done. done. Loaded symbols for /lib/i686/cmov/libpthread.so.0 Reading symbols from /usr/local/lib/libv4l1.so.0...done. Loaded symbols for /usr/local/lib/libv4l1.so.0 Reading symbols from /usr/lib/libfreetype.so.6...(no debugging symbols found)...done. Loaded symbols for /usr/lib/libfreetype.so.6 Reading symbols from /usr/lib/libSM.so.6...(no debugging symbols found)...done. Loaded symbols for /usr/lib/libSM.so.6 Reading symbols from /usr/lib/libICE.so.6...(no debugging symbols found)...done. Loaded symbols for /usr/lib/libICE.so.6 Reading symbols from /usr/lib/libX11.so.6...(no debugging symbols found)...done. Loaded symbols for /usr/lib/libX11.so.6 Reading symbols from /usr/lib/libXext.so.6...(no debugging symbols found)...done. Loaded symbols for /usr/lib/libXext.so.6 Reading symbols from /usr/lib/libXt.so.6...(no debugging symbols found)...done. Loaded symbols for /usr/lib/libXt.so.6 Reading symbols from /usr/lib/libXaw.so.7...(no debugging symbols found)...done. Loaded symbols for /usr/lib/libXaw.so.7 Reading symbols from /lib/i686/cmov/libdl.so.2...Reading symbols from /usr/lib/debug/lib/i686/cmov/libdl-2.11.2.so...done. done. Loaded symbols for /lib/i686/cmov/libdl.so.2 Reading symbols from /usr/lib/libboost_thread.so.1.42.0...(no debugging symbols found)...done. Loaded symbols for /usr/lib/libboost_thread.so.1.42.0 Reading symbols from /usr/lib/libboost_date_time.so.1.42.0...(no debugging symbols found)...done. Loaded symbols for /usr/lib/libboost_date_time.so.1.42.0 Reading symbols from /usr/lib/libfreeimage.so.3...(no debugging symbols found)...done. Loaded symbols for /usr/lib/libfreeimage.so.3 Reading symbols from /usr/lib/libzzip-0.so.13...(no debugging symbols found)...done. Loaded symbols for /usr/lib/libzzip-0.so.13 Reading symbols from /usr/lib/libz.so.1...(no debugging symbols found)...done. Loaded symbols for /usr/lib/libz.so.1 Reading symbols from /usr/lib/libsmpeg-0.4.so.0...(no debugging symbols found)...done. Loaded symbols for /usr/lib/libsmpeg-0.4.so.0 Reading symbols from /usr/lib/libmikmod.so.2...(no debugging symbols found)...done. Loaded symbols for /usr/lib/libmikmod.so.2 Reading symbols from /usr/lib/libvorbis.so.0...(no debugging symbols found)...done. Loaded symbols for /usr/lib/libvorbis.so.0 Reading symbols from /usr/lib/libvorbisfile.so.3...(no debugging symbols found)...done. Loaded symbols for /usr/lib/libvorbisfile.so.3 Reading symbols from /usr/lib/libFLAC.so.8...(no debugging symbols found)...done. Loaded symbols for /usr/lib/libFLAC.so.8 Reading symbols from /usr/lib/libogg.so.0...(no debugging symbols found)...done. Loaded symbols for /usr/lib/libogg.so.0 Reading symbols from /usr/lib/sse2/libspeex.so.1...(no debugging symbols found)...done. Loaded symbols for /usr/lib/sse2/libspeex.so.1 Reading symbols from /usr/lib/libasound.so.2...(no debugging symbols found)...done. Loaded symbols for /usr/lib/libasound.so.2 Reading symbols from /lib/i686/cmov/librt.so.1...Reading symbols from /usr/lib/debug/lib/i686/cmov/librt-2.11.2.so...done. done. Loaded symbols for /lib/i686/cmov/librt.so.1 Reading symbols from /usr/lib/libdirectfb-1.2.so.9...(no debugging symbols found)...done. Loaded symbols for /usr/lib/libdirectfb-1.2.so.9 Reading symbols from /usr/lib/libfusion-1.2.so.9...(no debugging symbols found)...done. Loaded symbols for /usr/lib/libfusion-1.2.so.9 Reading symbols from /usr/lib/libdirect-1.2.so.9...(no debugging symbols found)...done. Loaded symbols for /usr/lib/libdirect-1.2.so.9 Reading symbols from /usr/lib/libvga.so.1...(no debugging symbols found)...done. Loaded symbols for /usr/lib/libvga.so.1 Reading symbols from /lib/ld-linux.so.2...Reading symbols from /usr/lib/debug/lib/ld-2.11.2.so...done. done. Loaded symbols for /lib/ld-linux.so.2 Reading symbols from /usr/local/lib/libv4l2.so.0...done. Loaded symbols for /usr/local/lib/libv4l2.so.0 Reading symbols from /lib/libuuid.so.1...(no debugging symbols found)...done. Loaded symbols for /lib/libuuid.so.1 Reading symbols from /usr/lib/libxcb.so.1...(no debugging symbols found)...done. Loaded symbols for /usr/lib/libxcb.so.1 Reading symbols from /usr/lib/libXmu.so.6...(no debugging symbols found)...done. Loaded symbols for /usr/lib/libXmu.so.6 Reading symbols from /usr/lib/libXpm.so.4...(no debugging symbols found)...done. Loaded symbols for /usr/lib/libXpm.so.4 Reading symbols from /usr/lib/libjpeg.so.62...(no debugging symbols found)...done. Loaded symbols for /usr/lib/libjpeg.so.62 Reading symbols from /usr/lib/libmng.so.1...(no debugging symbols found)...done. Loaded symbols for /usr/lib/libmng.so.1 Reading symbols from /usr/lib/libopenjpeg.so.2...(no debugging symbols found)...done. Loaded symbols for /usr/lib/libopenjpeg.so.2 Reading symbols from /lib/libpng12.so.0...(no debugging symbols found)...done. Loaded symbols for /lib/libpng12.so.0 Reading symbols from /usr/lib/libIlmImf.so.6...(no debugging symbols found)...done. Loaded symbols for /usr/lib/libIlmImf.so.6 Reading symbols from /usr/lib/libImath.so.6...(no debugging symbols found)...done. Loaded symbols for /usr/lib/libImath.so.6 Reading symbols from /usr/lib/libHalf.so.6...(no debugging symbols found)...done. Loaded symbols for /usr/lib/libHalf.so.6 Reading symbols from /usr/lib/libIex.so.6...(no debugging symbols found)...done. Loaded symbols for /usr/lib/libIex.so.6 Reading symbols from /usr/lib/libIlmThread.so.6...(no debugging symbols found)...done. Loaded symbols for /usr/lib/libIlmThread.so.6 Reading symbols from /lib/libx86.so.1...(no debugging symbols found)...done. Loaded symbols for /lib/libx86.so.1 Reading symbols from /usr/local/lib/libv4lconvert.so.0...done. Loaded symbols for /usr/local/lib/libv4lconvert.so.0 Reading symbols from /usr/lib/libXau.so.6...(no debugging symbols found)...done. Loaded symbols for /usr/lib/libXau.so.6 Reading symbols from /usr/lib/libXdmcp.so.6...(no debugging symbols found)...done. Loaded symbols for /usr/lib/libXdmcp.so.6 Reading symbols from /usr/lib/liblcms.so.1...(no debugging symbols found)...done. Loaded symbols for /usr/lib/liblcms.so.1 Reading symbols from /usr/local/lib/OGRE/RenderSystem_GL.so...done. Loaded symbols for /usr/local/lib/OGRE/RenderSystem_GL.so Reading symbols from /usr/lib/libGLU.so.1...(no debugging symbols found)...done. Loaded symbols for /usr/lib/libGLU.so.1 Reading symbols from /usr/lib/libGL.so.1...(no debugging symbols found)...done. Loaded symbols for /usr/lib/libGL.so.1 Reading symbols from /usr/lib/libXrandr.so.2...(no debugging symbols found)...done. Loaded symbols for /usr/lib/libXrandr.so.2 Reading symbols from /usr/lib/libGLcore.so.1...(no debugging symbols found)...done. Loaded symbols for /usr/lib/libGLcore.so.1 Reading symbols from /usr/lib/tls/libnvidia-tls.so.1...(no debugging symbols found)...done. Loaded symbols for /usr/lib/tls/libnvidia-tls.so.1 Reading symbols from /usr/lib/libXrender.so.1...(no debugging symbols found)...done. Loaded symbols for /usr/lib/libXrender.so.1 Reading symbols from /usr/lib/libXcursor.so.1...(no debugging symbols found)...done. Loaded symbols for /usr/lib/libXcursor.so.1 Reading symbols from /usr/lib/libXfixes.so.3...(no debugging symbols found)...done. Loaded symbols for /usr/lib/libXfixes.so.3 Reading symbols from /lib/i686/cmov/libnss_compat.so.2...Reading symbols from /usr/lib/debug/lib/i686/cmov/libnss_compat-2.11.2.so...done. done. Loaded symbols for /lib/i686/cmov/libnss_compat.so.2 Reading symbols from /lib/i686/cmov/libnsl.so.1...Reading symbols from /usr/lib/debug/lib/i686/cmov/libnsl-2.11.2.so...done. done. Loaded symbols for /lib/i686/cmov/libnsl.so.1 Reading symbols from /lib/i686/cmov/libnss_nis.so.2...Reading symbols from /usr/lib/debug/lib/i686/cmov/libnss_nis-2.11.2.so...done. done. Loaded symbols for /lib/i686/cmov/libnss_nis.so.2 Reading symbols from /lib/i686/cmov/libnss_files.so.2...Reading symbols from /usr/lib/debug/lib/i686/cmov/libnss_files-2.11.2.so...done. done. Loaded symbols for /lib/i686/cmov/libnss_files.so.2 Reading symbols from /usr/lib/alsa-lib/libasound_module_rate_speexrate.so...(no debugging symbols found)...done. Loaded symbols for /usr/lib/alsa-lib/libasound_module_rate_speexrate.so Reading symbols from /usr/lib/sse2/libspeexdsp.so.1...(no debugging symbols found)...done. Loaded symbols for /usr/lib/sse2/libspeexdsp.so.1 Core was generated by `./OgreVisualizer'. Program terminated with signal 11, Segmentation fault. #0 0xb6dc563d in std::_Rb_tree_insert_and_rebalance(bool, std::_Rb_tree_node_base*, std::_Rb_tree_node_base*, std::_Rb_tree_node_base&) () from /usr/lib/libstdc++.so.6 (gdb) bt #0 0xb6dc563d in std::_Rb_tree_insert_and_rebalance(bool, std::_Rb_tree_node_base*, std::_Rb_tree_node_base*, std::_Rb_tree_node_base&) () from /usr/lib/libstdc++.so.6 #1 0xb73bb3c2 in std::_Rb_tree<Ogre::Node*, Ogre::Node*, std::_Identity<Ogre::Node*>, std::less<Ogre::Node*>, Ogre::STLAllocator<Ogre::Node*, Ogre::CategorisedAllocPolicy<(Ogre::MemoryCategory)0> > >::_M_insert_(std::_Rb_tree_node_base const*, std::_Rb_tree_node_base const*, Ogre::Node* const&) () from /usr/local/lib/libOgreMain.so.1.7.1 #2 0xb73b5a52 in _M_insert_unique (this=0xb6157ea0, child=0xb616aff8, forceParentUpdate=false) at /usr/include/c++/4.4/bits/stl_tree.h:1182 #3 insert (this=0xb6157ea0, child=0xb616aff8, forceParentUpdate=false) at /usr/include/c++/4.4/bits/stl_set.h:411 #4 Ogre::Node::requestUpdate (this=0xb6157ea0, child=0xb616aff8, forceParentUpdate=false) at /home/balazsbela/Downloads/ogre_src_v1-7-1/OgreMain/src/OgreNode.cpp:805 #5 0xb73b6a40 in Ogre::Node::needUpdate (this=0xb616aff8, forceParentUpdate=92) at /home/balazsbela/Downloads/ogre_src_v1-7-1/OgreMain/src/OgreNode.cpp:789 #6 0xb73b5038 in Ogre::Node::setScale (this=0x1825c, scale=...) at /home/balazsbela/Downloads/ogre_src_v1-7-1/OgreMain/src/OgreNode.cpp:638 #7 0x0805d306 in VisualizerApplication::adjustNodes (this=0x9cd4808) at ../src/VisualizerApplication.cpp:236 #8 0xb6e867f0 in ?? () from /usr/lib/libSDL_mixer-1.2.so.0 #9 0xb6e8719a in ?? () from /usr/lib/libSDL_mixer-1.2.so.0 #10 0xb6ed9b0d in ?? () from /usr/lib/libSDL-1.2.so.0 #11 0xb6ee185e in ?? () from /usr/lib/libSDL-1.2.so.0 #12 0xb6f2e0bd in ?? () from /usr/lib/libSDL-1.2.so.0 #13 0xb6bc7955 in start_thread (arg=0xb198ab70) at pthread_create.c:300 #14 0xb6ca6e7e in clone () at ../sysdeps/unix/sysv/linux/i386/clone.S:130 (gdb) Ogre.log: (http)://pastie.org/1581790

    Read the article

  • $PATH issues with OSX Lion

    - by Mikey
    I'm having some issues with running mysql from terminal: macmini:~ michael$ which mysql /Applications/XAMPP/xamppfiles/bin/mysql macmini:~ michael$ mysql -bash: /usr/local/mysql/bin/mysql: No such file or directory I had a previous installation at /usr/local/mysql/bin/mysql which no longer exists. My path variable is as follows: macmini:~ michael$ echo $PATH /usr/bin:/bin:/usr/sbin:/sbin:/Applications/XAMPP/xamppfiles/bin/:/usr/local/bin:/usr/X11/bin:/usr/local/MacGPG2/bin:/usr/texbin Dropping to root seems to function correctly: macmini:~ michael$ sudo bash Password: bash-3.2# mysql Welcome to the MySQL monitor. Commands end with ; or \g. Your MySQL connection id is 66 Server version: 5.1.44 Source distribution Type 'help;' or '\h' for help. Type '\c' to clear the current input statement. mysql> I seem to have found the issue - but I'm not sure how to change or remove this alias macmini:~ michael$ type -a mysql mysql is aliased to `/usr/local/mysql/bin/mysql' mysql is /Applications/XAMPP/xamppfiles/bin/mysql mysql is /Applications/XAMPP/xamppfiles/bin/mysql

    Read the article

  • Issues in getting Synergy setup

    - by chris
    For some reason I cannot get things working when the Linux box is the server and the macbook pro is the client. However I can get things working just fine in the inverse, unfortunately since the macbook is not the primary machine, and not powered on all the time, the later setup won't work. Here is the error that I am getting: started client connecting to '10.0.1.4': 10.0.1.4:24800 The only firewall that I have is the one on the router, so since things work with the macbook as the server I am pretty sure that is not where the problem is. Here is the .synergy.conf file section: screens Chris-MacBook-Pro: # I have tried this with the .local as well chris-archlinux.local: end section: links Chris-MacBook-Pro: right = chris-archlinux.local chris-archlinux.local: left = Chris-MacBook-Pro.local end ** Update: I should also add that I can ping the linux machine from the mac. To try get things working, I have also prevented the hosts.deny/.allow files from blocking anything. An ideas to where the problem could be?

    Read the article

  • Make PATH variable changes permanent on openSuse

    - by Marlon
    Okay, so I'm trying to do something that should be rather simple but for some reason I can't quite seem to make it work. All I simply want to do is add a path to the PATH environment variable in openSuse. So far, I've edited the following line in /etc/default/su : PATH=/usr/local/bin:/bin:/usr/bin with this line : PATH=/usr/local/bin:/bin:/usr/bin:/usr/local/php/bin:/usr/local/mysql/bin Basically, all I want to do is have access to php and mysqld regardless of how I log in directly from the command prompt without having to type trailing /usr/local/php/bin/ every time. Am I even editing the right file? I'm a bit of a Linux newbie and to achieve something as trivial as this is eluding me. Server gods out there, drop be a crumb, please? :-)

    Read the article

  • Failure to toubleshoot a juju charm deployment

    - by Bruno Pereira
    My environments.yaml looks like this: environments: test: type: local control-bucket: juju-a14dfae3830142d9ac23c499395c2785999 admin-secret: 6608267bbd6b447b8c90934167b2a294999 default-series: oneiric juju-origin: distro data-dir: /home/bruno/projects/juju juju bootstrap runs perfect: 2011-11-22 19:19:31,999 INFO Bootstrapping environment 'test' (type: local)... 2011-11-22 19:19:32,004 INFO Checking for required packages... 2011-11-22 19:19:33,584 INFO Starting networking... 2011-11-22 19:19:34,058 INFO Starting zookeeper... 2011-11-22 19:19:34,283 INFO Starting storage server... 2011-11-22 19:19:40,051 INFO Initializing zookeeper hierarchy 2011-11-22 19:19:40,247 INFO Starting machine agent (origin: distro)... [sudo] password for bruno: 2011-11-22 19:23:16,054 INFO Environment bootstrapped 2011-11-22 19:23:16,079 INFO 'bootstrap' command finished successfully Deploy from a known good charm is accepted (tried it with one that I am trying to create): juju deploy --repository=/home/bruno/projects/charms_repo/ local:teamspeak 2011-11-22 19:28:49,929 INFO Charm deployed as service: 'teamspeak' 2011-11-22 19:28:49,962 INFO 'deploy' command finished successfully After this I can see that juju debug-log shows activity and I can see the network indicator going on and off and activity on my hard-disk. Wait... Looking at juju status I get: services: teamspeak: charm: local:oneiric/teamspeak-1 relations: {} units: teamspeak/0: machine: 0 public-address: 192.168.122.226 relations: {} state: start_error juju debug-log does not help and I have no files under /var/log/juju or /var/lib/juju. Last juju debug-log only shows this: 2011-11-22 19:45:20,790 Machine:0: juju.agents.machine DEBUG: Units changed old:set(['wordpress/0']) new:set(['wordpress/0', 'teamspeak/0']) 2011-11-22 19:45:20,823 Machine:0: juju.agents.machine DEBUG: Starting service unit: teamspeak/0 ... 2011-11-22 19:45:21,137 Machine:0: juju.agents.machine DEBUG: Downloading charm local:oneiric/teamspeak-1 to /home/bruno/projects/juju/bruno-test/charms 2011-11-22 19:45:22,115 Machine:0: juju.agents.machine DEBUG: Starting service unit teamspeak/0 2011-11-22 19:45:22,133 Machine:0: unit.deploy INFO: Creating container teamspeak-0... 2011-11-22 19:47:04,586 Machine:0: unit.deploy INFO: Container created for teamspeak/0 2011-11-22 19:47:04,781 Machine:0: unit.deploy DEBUG: Charm extracted into container 2011-11-22 19:47:04,801 Machine:0: unit.deploy DEBUG: Starting container... 2011-11-22 19:47:07,086 Machine:0: unit.deploy INFO: Started container for teamspeak/0 2011-11-22 19:47:07,107 Machine:0: juju.agents.machine INFO: Started service unit teamspeak/0 How can I troubleshot what is happening here?

    Read the article

  • How to setup Automount/Autofs

    - by matt wilkie
    I've followed the ubuntu help docs for setting up NFSv4 on a server running Ubuntu 10.4LTS and now I'm trying to get Autofs (on ubuntu 10.10) to mount the exports, following these instructions. So far it doesn't work. Where the docs say server -fstype=nfs4 server:/ I'm supposed to replace 'server' with my server's hostname right? If yes, should that be server-foo or server-foo.local? # Sample /etc/auto.master file # --- comments snipped --8<-- +auto.master # pre-existing /nfs /etc/auto.nfs # added by me . # manually created /etc/auto.nfs ubuntu-server.local -fstype=nfs4 ubuntu-server.local:/ ls /nfs/ubuntu-server /nfs/ubuntu-server.local shows nothing. What's the next troubleshooting step?

    Read the article

  • How do I install Dan's Guardian on 12.04?

    - by Matt
    I'm trying to install Dans Guardian on a virtual machine. The instructions ask me to run the ./configure script and then execute the command make install. The configure script runs fine but the make install throws errors. Making all in src make[2]: Entering directory `/webmin/dansguardian-2.10/src' g++ -DHAVE_CONFIG_H -I. -I.. -D__CONFFILE='"/usr/local/etc/dansguardian/dansguardian.conf"' -D__LOGLOCATION='"/usr/local/var/log/dansguardian/"' -D__PIDDIR='"/usr/local/var/run"' -D__PROXYUSER='"nobody"' -D__PROXYGROUP='"nobody"' -D__CONFDIR='"/usr/local/etc/dansguardian"' -g -O2 -MT dansguardian-fancy.o -MD -MP -MF .deps/dansguardian-fancy.Tpo -c -o dansguardian-fancy.o `test -f 'downloadmanagers/fancy.cpp' || echo './'`downloadmanagers/fancy.cpp downloadmanagers/fancy.cpp: In member function âstd::string fancydm::timestring(int)â: downloadmanagers/fancy.cpp:507:72: error: âsnprintfâ was not declared in this scope make[2]: *** [dansguardian-fancy.o] Error 1 make[2]: Leaving directory `/webmin/dansguardian-2.10/src' make[1]: *** [all-recursive] Error 1 make[1]: Leaving directory `/webmin/dansguardian-2.10' make: *** [all] Error 2 I'm running 12.04 LTS server x64

    Read the article

  • GitHub Integration in Windows Azure Web Site

    - by Shaun
    Microsoft had just announced an update for Windows Azure Web Site (a.k.a. WAWS). There are four major features added in WAWS which are free scaling mode, GitHub integration, custom domain and multi branches. Since I ‘m working in Node.js and I would like to have my code in GitHub and deployed automatically to my Windows Azure Web Site once I sync my code, this feature is a big good news to me.   It’s very simple to establish the GitHub integration in WAWS. First we need a clean WAWS. In its dashboard page click “Set up Git publishing”. Currently WAWS doesn’t support to change the publish setting. So if you have an existing WAWS which published by TFS or local Git then you have to create a new WAWS and set the Git publishing. Then in the deployment page we can see now WAWS supports three Git publishing modes: - Push my local files to Windows Azure: In this mode we will create a new Git repository on local machine and commit, publish our code to Windows Azure through Git command or some GUI. - Deploy from my GitHub project: In this mode we will have a Git repository created on GitHub. Once we publish our code to GitHub Windows Azure will download the code and trigger a new deployment. - Deploy from my CodePlex project: Similar as the previous one but our code would be in CodePlex repository.   Now let’s back to GitHub and create a new publish repository. Currently WAWS GitHub integration only support for public repositories. The private repositories support will be available in several weeks. We can manage our repositories in GitHub website. But as a windows geek I prefer the GUI tool. So I opened the GitHub for Windows, login with my GitHub account and select the “github” category, click the “add” button to create a new repository on GitHub. You can download the GitHub for Windows here. I specified the repository name, description, local repository, do not check the “Keep this code private”. After few seconds it will create a new repository on GitHub and associate it to my local machine in that folder. We can find this new repository in GitHub website. And in GitHub for Windows we can also find the local repository by selecting the “local” category.   Next, we need to associate this repository with our WAWS. Back to windows developer portal, open the “Deploy from my GitHub project” in the deployment page and click the “Authorize Windows Azure” link. It will bring up a new windows on GitHub which let me allow the Windows Azure application can access your repositories. After we clicked “Allow”, windows azure will retrieve all my GitHub public repositories and let me select which one I want to integrate to this WAWS. I selected the one I had just created in GitHub for Windows. So that’s all. We had completed the GitHub integration configuration. Now let’s have a try. In GitHub for Windows, right click on this local repository and click “open in explorer”. Then I added a simple HTML file. 1: <html> 2: <head> 3: </head> 4: <body> 5: <h1> 6: I came from GitHub, WOW! 7: </h1> 8: </body> 9: </html> Save it and back to GitHub for Windows, commit this change and publish. This will upload our changes to GitHub, and Windows Azure will detect this update and trigger a new deployment. If we went back to azure developer portal we can find the new deployment. And our commit message will be shown as the deployment description as well. And here is the page deployed to WAWS.   Hope this helps, Shaun All documents and related graphics, codes are provided "AS IS" without warranty of any kind. Copyright © Shaun Ziyan Xu. This work is licensed under the Creative Commons License.

    Read the article

  • C#/.NET Little Wonders: ConcurrentBag and BlockingCollection

    - by James Michael Hare
    In the first week of concurrent collections, began with a general introduction and discussed the ConcurrentStack<T> and ConcurrentQueue<T>.  The last post discussed the ConcurrentDictionary<T> .  Finally this week, we shall close with a discussion of the ConcurrentBag<T> and BlockingCollection<T>. For more of the "Little Wonders" posts, see C#/.NET Little Wonders: A Redux. Recap As you'll recall from the previous posts, the original collections were object-based containers that accomplished synchronization through a Synchronized member.  With the advent of .NET 2.0, the original collections were succeeded by the generic collections which are fully type-safe, but eschew automatic synchronization.  With .NET 4.0, a new breed of collections was born in the System.Collections.Concurrent namespace.  Of these, the final concurrent collection we will examine is the ConcurrentBag and a very useful wrapper class called the BlockingCollection. For some excellent information on the performance of the concurrent collections and how they perform compared to a traditional brute-force locking strategy, see this informative whitepaper by the Microsoft Parallel Computing Platform team here. ConcurrentBag<T> – Thread-safe unordered collection. Unlike the other concurrent collections, the ConcurrentBag<T> has no non-concurrent counterpart in the .NET collections libraries.  Items can be added and removed from a bag just like any other collection, but unlike the other collections, the items are not maintained in any order.  This makes the bag handy for those cases when all you care about is that the data be consumed eventually, without regard for order of consumption or even fairness – that is, it’s possible new items could be consumed before older items given the right circumstances for a period of time. So why would you ever want a container that can be unfair?  Well, to look at it another way, you can use a ConcurrentQueue and get the fairness, but it comes at a cost in that the ordering rules and synchronization required to maintain that ordering can affect scalability a bit.  Thus sometimes the bag is great when you want the fastest way to get the next item to process, and don’t care what item it is or how long its been waiting. The way that the ConcurrentBag works is to take advantage of the new ThreadLocal<T> type (new in System.Threading for .NET 4.0) so that each thread using the bag has a list local to just that thread.  This means that adding or removing to a thread-local list requires very low synchronization.  The problem comes in where a thread goes to consume an item but it’s local list is empty.  In this case the bag performs “work-stealing” where it will rob an item from another thread that has items in its list.  This requires a higher level of synchronization which adds a bit of overhead to the take operation. So, as you can imagine, this makes the ConcurrentBag good for situations where each thread both produces and consumes items from the bag, but it would be less-than-idea in situations where some threads are dedicated producers and the other threads are dedicated consumers because the work-stealing synchronization would outweigh the thread-local optimization for a thread taking its own items. Like the other concurrent collections, there are some curiosities to keep in mind: IsEmpty(), Count, ToArray(), and GetEnumerator() lock collection Each of these needs to take a snapshot of whole bag to determine if empty, thus they tend to be more expensive and cause Add() and Take() operations to block. ToArray() and GetEnumerator() are static snapshots Because it is based on a snapshot, will not show subsequent updates after snapshot. Add() is lightweight Since adding to the thread-local list, there is very little overhead on Add. TryTake() is lightweight if items in thread-local list As long as items are in the thread-local list, TryTake() is very lightweight, much more so than ConcurrentStack() and ConcurrentQueue(), however if the local thread list is empty, it must steal work from another thread, which is more expensive. Remember, a bag is not ideal for all situations, it is mainly ideal for situations where a process consumes an item and either decomposes it into more items to be processed, or handles the item partially and places it back to be processed again until some point when it will complete.  The main point is that the bag works best when each thread both takes and adds items. For example, we could create a totally contrived example where perhaps we want to see the largest power of a number before it crosses a certain threshold.  Yes, obviously we could easily do this with a log function, but bare with me while I use this contrived example for simplicity. So let’s say we have a work function that will take a Tuple out of a bag, this Tuple will contain two ints.  The first int is the original number, and the second int is the last multiple of that number.  So we could load our bag with the initial values (let’s say we want to know the last multiple of each of 2, 3, 5, and 7 under 100. 1: var bag = new ConcurrentBag<Tuple<int, int>> 2: { 3: Tuple.Create(2, 1), 4: Tuple.Create(3, 1), 5: Tuple.Create(5, 1), 6: Tuple.Create(7, 1) 7: }; Then we can create a method that given the bag, will take out an item, apply the multiplier again, 1: public static void FindHighestPowerUnder(ConcurrentBag<Tuple<int,int>> bag, int threshold) 2: { 3: Tuple<int,int> pair; 4:  5: // while there are items to take, this will prefer local first, then steal if no local 6: while (bag.TryTake(out pair)) 7: { 8: // look at next power 9: var result = Math.Pow(pair.Item1, pair.Item2 + 1); 10:  11: if (result < threshold) 12: { 13: // if smaller than threshold bump power by 1 14: bag.Add(Tuple.Create(pair.Item1, pair.Item2 + 1)); 15: } 16: else 17: { 18: // otherwise, we're done 19: Console.WriteLine("Highest power of {0} under {3} is {0}^{1} = {2}.", 20: pair.Item1, pair.Item2, Math.Pow(pair.Item1, pair.Item2), threshold); 21: } 22: } 23: } Now that we have this, we can load up this method as an Action into our Tasks and run it: 1: // create array of tasks, start all, wait for all 2: var tasks = new[] 3: { 4: new Task(() => FindHighestPowerUnder(bag, 100)), 5: new Task(() => FindHighestPowerUnder(bag, 100)), 6: }; 7:  8: Array.ForEach(tasks, t => t.Start()); 9:  10: Task.WaitAll(tasks); Totally contrived, I know, but keep in mind the main point!  When you have a thread or task that operates on an item, and then puts it back for further consumption – or decomposes an item into further sub-items to be processed – you should consider a ConcurrentBag as the thread-local lists will allow for quick processing.  However, if you need ordering or if your processes are dedicated producers or consumers, this collection is not ideal.  As with anything, you should performance test as your mileage will vary depending on your situation! BlockingCollection<T> – A producers & consumers pattern collection The BlockingCollection<T> can be treated like a collection in its own right, but in reality it adds a producers and consumers paradigm to any collection that implements the interface IProducerConsumerCollection<T>.  If you don’t specify one at the time of construction, it will use a ConcurrentQueue<T> as its underlying store. If you don’t want to use the ConcurrentQueue, the ConcurrentStack and ConcurrentBag also implement the interface (though ConcurrentDictionary does not).  In addition, you are of course free to create your own implementation of the interface. So, for those who don’t remember the producers and consumers classical computer-science problem, the gist of it is that you have one (or more) processes that are creating items (producers) and one (or more) processes that are consuming these items (consumers).  Now, the crux of the problem is that there is a bin (queue) where the produced items are placed, and typically that bin has a limited size.  Thus if a producer creates an item, but there is no space to store it, it must wait until an item is consumed.  Also if a consumer goes to consume an item and none exists, it must wait until an item is produced. The BlockingCollection makes it trivial to implement any standard producers/consumers process set by providing that “bin” where the items can be produced into and consumed from with the appropriate blocking operations.  In addition, you can specify whether the bin should have a limited size or can be (theoretically) unbounded, and you can specify timeouts on the blocking operations. As far as your choice of “bin”, for the most part the ConcurrentQueue is the right choice because it is fairly light and maximizes fairness by ordering items so that they are consumed in the same order they are produced.  You can use the concurrent bag or stack, of course, but your ordering would be random-ish in the case of the former and LIFO in the case of the latter. So let’s look at some of the methods of note in BlockingCollection: BoundedCapacity returns capacity of the “bin” If the bin is unbounded, the capacity is int.MaxValue. Count returns an internally-kept count of items This makes it O(1), but if you modify underlying collection directly (not recommended) it is unreliable. CompleteAdding() is used to cut off further adds. This sets IsAddingCompleted and begins to wind down consumers once empty. IsAddingCompleted is true when producers are “done”. Once you are done producing, should complete the add process to alert consumers. IsCompleted is true when producers are “done” and “bin” is empty. Once you mark the producers done, and all items removed, this will be true. Add() is a blocking add to collection. If bin is full, will wait till space frees up Take() is a blocking remove from collection. If bin is empty, will wait until item is produced or adding is completed. GetConsumingEnumerable() is used to iterate and consume items. Unlike the standard enumerator, this one consumes the items instead of iteration. TryAdd() attempts add but does not block completely If adding would block, returns false instead, can specify TimeSpan to wait before stopping. TryTake() attempts to take but does not block completely Like TryAdd(), if taking would block, returns false instead, can specify TimeSpan to wait. Note the use of CompleteAdding() to signal the BlockingCollection that nothing else should be added.  This means that any attempts to TryAdd() or Add() after marked completed will throw an InvalidOperationException.  In addition, once adding is complete you can still continue to TryTake() and Take() until the bin is empty, and then Take() will throw the InvalidOperationException and TryTake() will return false. So let’s create a simple program to try this out.  Let’s say that you have one process that will be producing items, but a slower consumer process that handles them.  This gives us a chance to peek inside what happens when the bin is bounded (by default, the bin is NOT bounded). 1: var bin = new BlockingCollection<int>(5); Now, we create a method to produce items: 1: public static void ProduceItems(BlockingCollection<int> bin, int numToProduce) 2: { 3: for (int i = 0; i < numToProduce; i++) 4: { 5: // try for 10 ms to add an item 6: while (!bin.TryAdd(i, TimeSpan.FromMilliseconds(10))) 7: { 8: Console.WriteLine("Bin is full, retrying..."); 9: } 10: } 11:  12: // once done producing, call CompleteAdding() 13: Console.WriteLine("Adding is completed."); 14: bin.CompleteAdding(); 15: } And one to consume them: 1: public static void ConsumeItems(BlockingCollection<int> bin) 2: { 3: // This will only be true if CompleteAdding() was called AND the bin is empty. 4: while (!bin.IsCompleted) 5: { 6: int item; 7:  8: if (!bin.TryTake(out item, TimeSpan.FromMilliseconds(10))) 9: { 10: Console.WriteLine("Bin is empty, retrying..."); 11: } 12: else 13: { 14: Console.WriteLine("Consuming item {0}.", item); 15: Thread.Sleep(TimeSpan.FromMilliseconds(20)); 16: } 17: } 18: } Then we can fire them off: 1: // create one producer and two consumers 2: var tasks = new[] 3: { 4: new Task(() => ProduceItems(bin, 20)), 5: new Task(() => ConsumeItems(bin)), 6: new Task(() => ConsumeItems(bin)), 7: }; 8:  9: Array.ForEach(tasks, t => t.Start()); 10:  11: Task.WaitAll(tasks); Notice that the producer is faster than the consumer, thus it should be hitting a full bin often and displaying the message after it times out on TryAdd(). 1: Consuming item 0. 2: Consuming item 1. 3: Bin is full, retrying... 4: Bin is full, retrying... 5: Consuming item 3. 6: Consuming item 2. 7: Bin is full, retrying... 8: Consuming item 4. 9: Consuming item 5. 10: Bin is full, retrying... 11: Consuming item 6. 12: Consuming item 7. 13: Bin is full, retrying... 14: Consuming item 8. 15: Consuming item 9. 16: Bin is full, retrying... 17: Consuming item 10. 18: Consuming item 11. 19: Bin is full, retrying... 20: Consuming item 12. 21: Consuming item 13. 22: Bin is full, retrying... 23: Bin is full, retrying... 24: Consuming item 14. 25: Adding is completed. 26: Consuming item 15. 27: Consuming item 16. 28: Consuming item 17. 29: Consuming item 19. 30: Consuming item 18. Also notice that once CompleteAdding() is called and the bin is empty, the IsCompleted property returns true, and the consumers will exit. Summary The ConcurrentBag is an interesting collection that can be used to optimize concurrency scenarios where tasks or threads both produce and consume items.  In this way, it will choose to consume its own work if available, and then steal if not.  However, in situations where you want fair consumption or ordering, or in situations where the producers and consumers are distinct processes, the bag is not optimal. The BlockingCollection is a great wrapper around all of the concurrent queue, stack, and bag that allows you to add producer and consumer semantics easily including waiting when the bin is full or empty. That’s the end of my dive into the concurrent collections.  I’d also strongly recommend, once again, you read this excellent Microsoft white paper that goes into much greater detail on the efficiencies you can gain using these collections judiciously (here). Tweet Technorati Tags: C#,.NET,Concurrent Collections,Little Wonders

    Read the article

  • Getting the alternative to the 200-Line Linux Kernel patch to work

    - by Gödel
    Apparently, there is a comparable alternative to the 200-line kernel patch that involves no kernel upgrade. It is presented here and discussed here. However, I am not sure if webupd8's solution (under the section "Use it in Ubuntu") on Ubuntu actually works or not. In particular, one commenter on ./ is saying he's getting an error message. Could anyone post the "correct" method that actually works? Suggested solution: Based on the comments I've read so far, the following seems to work. (1) In /etc/rc.local, add the following lines to above exit 0: mkdir -p /dev/cgroup/cpu mount -t cgroup cgroup /dev/cgroup/cpu -o cpu mkdir -m 0777 /dev/cgroup/cpu/user echo "/usr/local/sbin/cgroup_clean" > /dev/cgroup/cpu/release_agent (2) Create a file named /usr/local/sbin/cgroup_clean with the following content: #!/bin/sh rmdir /dev/cgroup/cpu/$1 (3) In your ~/.bashrc, add: if [ "$PS1" ] ; then mkdir -m 0700 /dev/cgroup/cpu/user/$$ echo $$ > /dev/cgroup/cpu/user/$$/tasks echo "1" > /dev/cgroup/cpu/user/$$/notify_on_release fi (4) (To make sure the execution bit is on) execute sudo chmod +x /usr/local/sbin/cgroup_clean /etc/rc.local (5) Reboot.

    Read the article

  • Ubuntu.sh on Android Phone

    - by pjtatlow
    So today I noticed something weird on my phone. I used a terminal emulator to see what I could do with it, and noticed that there is a file called ubuntu.sh. I tried to run it and got all sorts of permission denied errors, and then I decided to root my phone. But now I'm nervous to run it, does anyone know what it does or why it is there? edit I forgot to mention that I have an AT&T Morotola Atrix 4G running Android 2.3.6. Also when I use the app SSHDroid to go into my phone from my Ubuntu machine, I'm greeted with this: "The programs included with the Ubuntu system are free software; the exact distribution terms for each program are described in the individual files in /usr/share/doc/*/copyright. Ubuntu comes with ABSOLUTELY NO WARRANTY, to the extent permitted by applicable law. To access official Ubuntu documentation, please visit: http://help.ubuntu.com/" Also, here are the contents of ubuntu.sh #!/bin/sh export PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin export LD_LIBRARY_PATH=/usr/lib:/usr/local/lib # make sure no left-over pidfiles, etc. ####################################### rm -fr /var/run/* rm -fr /var/lock/* chmod 666 /system/usr/keychars/* rm -f /tmp/tab* mkdir -p /home/adas/Desktop chmod 755 /home/adas/Desktop chown -R adas.adas /home/adas/Desktop [ -x /usr/bin/firefox-install-profile ] && /usr/bin/firefox-install-profile [ -x /usr/local/bin/check-citrix-certs.sh ] && /usr/local/bin/check-citrix-certs.sh [ -x /usr/bin/migrate-webapps ] && /usr/bin/migrate-webapps # boot scripts ############## /etc/init.d/rc S # lock down /var for CTS ######################## chown root.adas /var/tmp chown root.adas /var/lock chmod 775 /var/tmp chmod 775 /var/lock chmod 666 /dev/socket/dbus chmod 666 /dev/null # runlevel 2 scripts #################### /etc/init.d/rc 2 cp /sdcard/*.lic /data/ chmod 666 /data/*.lic This is really strange, any ideas?

    Read the article

  • Macos default paths prepend my defined paths in vim

    - by Bogdan Gusiev
    I am trying to call some shell command from vim with like :!ls command. But unfortunately there are some default PATHS that prepends PATHs defined in the original shell. Here is the echo $PATH output in the original shell: /usr/local/heroku/bin:/Users/bogdan/.rvm/gems/ruby-1.9.3-p194/bin:/Users/bogdan/.rvm/gems/ruby-1.9.3-p194@global/bin:/Users/bogdan/.rvm/rubies/ruby-1.9.3-p194/bin:/Users/bogdan/.rvm/bin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/usr/X11/bin:/Users/bogdan/.rvm/bin:/Users/bogdan/bin:/Users/bogdan/.rvm/bin:/usr/local/Cellar/git/1.7.12.2/libexec/git-core:/Users/bogdan/.rvm/bin and shell called within vim: /usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/usr/X11/bin:/Users/bogdan/.rvm/gems/ruby-1.9.3-p194@devauc/bin:/Users/bogdan/.rvm/gems/ruby-1.9.3-p194@global/bin:/Users/bogdan/.rvm/rubies/ruby-1.9.3-p194/bin:/Users/bogdan/.rvm/bin:/Users/bogdan/bin:/usr/local/Cellar/git/1.7.12.2/libexec/git-core:/Users/bogdan/.rvm/bin Why they appeared right there? How can I prevent that and make vim shell has original PATH variable.

    Read the article

  • how to set environment variable in eric IDE

    - by ng0323
    I have no problem running a python script from the terminal, but in eric IDE, I am getting this error: ImportError libcudart.so.6.0: cannot open shared object file: No such file or directory Perhaps it's an enviroment variable that needs to be set. In eric, when I run script, I filled in the environment option as follows. I tried set PATH = usr/local/cuda-6.0/bin or PATH = /usr/local/cuda-6.0/bin or just /usr/local/cuda-6.0/bin and they all didn't work.

    Read the article

  • pound: multiple domains

    - by niklassaers
    Hi guys, I've been using pound to run mydomain.dk. Now I've bought some other domains and SSL certificates that are mydomain.no, mydomain.se and mydomain.eu. My old config looked roughly like this: ListenHTTPS Address 81.19.246.120 Port 443 Cert "/usr/local/etc/pound.keys/mydomain.dk.pem" Service BackEnd Address 10.0.10.10 Port 8080 End End End At places like here I've seen that I can use HeadRequire in the Service part, but I want the Host header to go together with the Cert, ideally something like ListenHTTPS Address 81.19.246.120 Port 443 HostAndCert "mydomain.dk" "/usr/local/etc/pound.keys/mydomain.dk.pem" HostAndCert "mydomain.se" "/usr/local/etc/pound.keys/mydomain.se.pem" HostAndCert "mydomain.no" "/usr/local/etc/pound.keys/mydomain.no.pem" HostAndCert "mydomain.eu" "/usr/local/etc/pound.keys/mydomain.eu.pem" Service BackEnd Address 10.0.10.10 Port 8080 End End End Any suggestions or clues to how I can accomplish this? Cheers Nik

    Read the article

  • SQL SERVER – Fun Post – Connecting Same SQL Server using Different Methods

    - by pinaldave
    Yesterday I had faced error when I was connecting SQL Server using 127.0.0.1. I had immediately checked if SQL Server is working perfectly by connecting to it by specifiing my local box computer. While I was doing this suddenly I realize that it is indeed interesting to know how many different way we can connect to SQL Server which is installed in the local box. I created list of 5 different way but I am sure there are many more ways and I would like to document there here. Here is my setup. I am attempting to connect to the default instance of SQL Server from the same system where it is installed. Method 1: Connecting using local host IP 127.0.0.1 Method 2: Connecting using just a single dot (.) Method 3: Connecting using (local) Method 4: Connecting using localhost Method 5: Connecting using computer name – in my case it is BIG Here are my two questions for you? (Scroll below the image) 1) Which is your favorite method? 2) What are other methods you are familiar with to connect to local host? Reference: Pinal Dave (http://blog.SQLAuthority.com)     Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

    Read the article

  • Vanilla TeX Live 2009 on Ubuntu

    - by reprogrammer
    I installed TeX Live 2009 by following the instructions at http://www.tug.org/texlive/quickinstall. Then, to make my local TeX Live installation work with the Ubuntu package management system, I followed the instructions on http://www.tug.org/texlive/debian.html. That is, I performed the following steps. $ sudo aptitude install equivs $ mkdir /tmp/tl-equivs && cd /tmp/tl-equivs $ equivs-control texlive-local # I replaced the contents of texlive-local by http://www.tug.org/texlive/debian-control-ex.txt $ equivs-build texlive-local $ sudo dpkg -i texlive-local_2009-1~1_all.deb However, when I go about installing kile through the Ubuntu package management system, it requires me to install a lot of dependencies that are already provided by my texlive-local package. Does any one have a suggestion to fix this problem?

    Read the article

  • Using QoS to prioritize IP addresses

    - by Tristan
    I have a Western Digital N900 router. I was hoping I'd be able to throttle users based on their MAC address with it, which isn't possible sadly. Seems simple in principle though, duh. The battle against bandwidth hogging roomates rages on. Could I just set the local IP range to their IP, and then set the Local port range to every single port in existence. Then prioritize their IP to lower than mine? Will this work? What are all the ports? And what's the difference between Local and Remote IPs or Ports? Name: Roomate, Priority: Low, Protocol: TCP or UDP ??, Local IP Range: .101 to .101, Local Port Range: 0 to infinity, Remote IP Range: ? to ?, Remote Port Range: ? to ?

    Read the article

  • Is that possible to route all mails sent to a mailbox to another server's mailbox

    - by Chau Chee Yang
    I have a Linux server that has local mail service. There are few user accounts on this server. User may send the mail to each other but that only restrict to LAN environment only. For example, I may # mail user1 to send mail to user1. User are not able to send mail to public. Some service like hylafax using this local mail service to send notification of fax status. I don't want to manage and maintain local mail service anymore. I have subscribed a package from ISP to host a public domain of my own. I wish to have my hylafax service to able to send the notification mails to public mail server, is that possible to do it? It is great if all mails that send to local mail server may forward to public mail server. That makes the local mail service serve mail forward only.

    Read the article

  • wakeonlan from remote host

    - by takeshin
    I have setup wake on lan service on my server. Everything works fine on local area network: root@server$: poweroff user@local$ wakeonlan AA:BB:CC:DD:EE:FF and the server wakes up. AA:BB:CC:DD:EE:FF is a MAC address of my server, which has IP 192.168.1.2 and hostname: example.com. It is connected to the router, which has IP 192.168.1.1 (public: xxx.xxx.xxx.xxx) When the server is up, I can ping: ping example.com or login via ssh: ssh [email protected] So far, so good. Now I'm able to wake the server up from local area, but how to wake the server from the remote location? I tried: user@local$ wakeonlan -i xxx.xxx.xxx.xxx AA:BB:CC:DD:EE:FF, but it does not work (nothing happens;). Do I have to configure my router somehow to forward magic packets? How?

    Read the article

  • How to fix the "Setting locale failed" error while installing vim?

    - by user211775
    When installing vim through Software Center , I get this error installArchives() failed: perl: warning: Setting locale failed. perl: warning: Please check that your locale settings: LANGUAGE = (unset), LC_ALL = (unset), LANG = "en_IN.ISO8859-1" are supported and installed on your system. perl: warning: Falling back to the standard locale ("C"). locale: Cannot set LC_CTYPE to default locale: No such file or directory locale: Cannot set LC_MESSAGES to default locale: No such file or directory locale: Cannot set LC_ALL to default locale: No such file or directory perl: warning: Setting locale failed. perl: warning: Please check that your locale settings: LANGUAGE = (unset), LC_ALL = (unset), LANG = "en_IN.ISO8859-1" are supported and installed on your system. perl: warning: Falling back to the standard locale ("C"). locale: Cannot set LC_CTYPE to default locale: No such file or directory locale: Cannot set LC_MESSAGES to default locale: No such file or directory locale: Cannot set LC_ALL to default locale: No such file or directory perl: warning: Setting locale failed. perl: warning: Please check that your locale settings: LANGUAGE = (unset), LC_ALL = (unset), LANG = "en_IN.ISO8859-1" are supported and installed on your system. perl: warning: Falling back to the standard locale ("C"). locale: Cannot set LC_CTYPE to default locale: No such file or directory locale: Cannot set LC_MESSAGES to default locale: No such file or directory locale: Cannot set LC_ALL to default locale: No such file or directory perl: warning: Setting locale failed. perl: warning: Please check that your locale settings: LANGUAGE = (unset), LC_ALL = (unset), LANG = "en_IN.ISO8859-1" are supported and installed on your system. perl: warning: Falling back to the standard locale ("C"). locale: Cannot set LC_CTYPE to default locale: No such file or directory locale: Cannot set LC_MESSAGES to default locale: No such file or directory locale: Cannot set LC_ALL to default locale: No such file or directory Setting up install-info (4.13a.dfsg.1-10ubuntu4) ... /etc/environment: line 1: PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games: No such file or directory dpkg: error processing install-info (--configure): subprocess installed post-installation script returned error exit status 1 No apport report written because MaxReports is reached already Errors were encountered while processing: install-info Setting up install-info (4.13a.dfsg.1-10ubuntu4) ... /etc/environment: line 1: PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games: No such file or directory dpkg: error processing install-info (--configure): subprocess installed post-installation script returned error exit status 1

    Read the article

  • Compiling PHP 5.3.3 on Ubuntu 8.04: Could not find libevent

    - by Nick
    When attempting to ./configure PHP 5.3.3 on Ubuntu 8.04, I get the error: checking for libevent >= 1.4.11 install prefix... configure: error: Could not find libevent >= 1.4.11 in /usr/local/ I tried installing the libevent-dev and libevent1 packages, but same error. I then removed the packages, downloaded and compiled libevent from source. Same error. Locate shows that libevent was installed to /usr/local/lib/libevent.so with all its friends in /usr/local/lib/. I tried configuring with the option: --with-libevent-dir=/usr/local/lib/ Basically the same error: checking for libevent >= 1.4.11 install prefix... configure: error: Could not find libevent >= 1.4.11 in /usr/local/lib/ Any suggestions??

    Read the article

  • Node.js Adventure - Storage Services and Service Runtime

    - by Shaun
    When I described on how to host a Node.js application on Windows Azure, one of questions might be raised about how to consume the vary Windows Azure services, such as the storage, service bus, access control, etc.. Interact with windows azure services is available in Node.js through the Windows Azure Node.js SDK, which is a module available in NPM. In this post I would like to describe on how to use Windows Azure Storage (a.k.a. WAS) as well as the service runtime.   Consume Windows Azure Storage Let’s firstly have a look on how to consume WAS through Node.js. As we know in the previous post we can host Node.js application on Windows Azure Web Site (a.k.a. WAWS) as well as Windows Azure Cloud Service (a.k.a. WACS). In theory, WAWS is also built on top of WACS worker roles with some more features. Hence in this post I will only demonstrate for hosting in WACS worker role. The Node.js code can be used when consuming WAS when hosted on WAWS. But since there’s no roles in WAWS, the code for consuming service runtime mentioned in the next section cannot be used for WAWS node application. We can use the solution that I created in my last post. Alternatively we can create a new windows azure project in Visual Studio with a worker role, add the “node.exe” and “index.js” and install “express” and “node-sqlserver” modules, make all files as “Copy always”. In order to use windows azure services we need to have Windows Azure Node.js SDK, as knows as a module named “azure” which can be installed through NPM. Once we downloaded and installed, we need to include them in our worker role project and make them as “Copy always”. You can use my “Copy all always” tool mentioned in my last post to update the currently worker role project file. You can also find the source code of this tool here. The source code of Windows Azure SDK for Node.js can be found in its GitHub page. It contains two parts. One is a CLI tool which provides a cross platform command line package for Mac and Linux to manage WAWS and Windows Azure Virtual Machines (a.k.a. WAVM). The other is a library for managing and consuming vary windows azure services includes tables, blobs, queues, service bus and the service runtime. I will not cover all of them but will only demonstrate on how to use tables and service runtime information in this post. You can find the full document of this SDK here. Back to Visual Studio and open the “index.js”, let’s continue our application from the last post, which was working against Windows Azure SQL Database (a.k.a. WASD). The code should looks like this. 1: var express = require("express"); 2: var sql = require("node-sqlserver"); 3:  4: var connectionString = "Driver={SQL Server Native Client 10.0};Server=tcp:ac6271ya9e.database.windows.net,1433;Database=synctile;Uid=shaunxu@ac6271ya9e;Pwd={PASSWORD};Encrypt=yes;Connection Timeout=30;"; 5: var port = 80; 6:  7: var app = express(); 8:  9: app.configure(function () { 10: app.use(express.bodyParser()); 11: }); 12:  13: app.get("/", function (req, res) { 14: sql.open(connectionString, function (err, conn) { 15: if (err) { 16: console.log(err); 17: res.send(500, "Cannot open connection."); 18: } 19: else { 20: conn.queryRaw("SELECT * FROM [Resource]", function (err, results) { 21: if (err) { 22: console.log(err); 23: res.send(500, "Cannot retrieve records."); 24: } 25: else { 26: res.json(results); 27: } 28: }); 29: } 30: }); 31: }); 32:  33: app.get("/text/:key/:culture", function (req, res) { 34: sql.open(connectionString, function (err, conn) { 35: if (err) { 36: console.log(err); 37: res.send(500, "Cannot open connection."); 38: } 39: else { 40: var key = req.params.key; 41: var culture = req.params.culture; 42: var command = "SELECT * FROM [Resource] WHERE [Key] = '" + key + "' AND [Culture] = '" + culture + "'"; 43: conn.queryRaw(command, function (err, results) { 44: if (err) { 45: console.log(err); 46: res.send(500, "Cannot retrieve records."); 47: } 48: else { 49: res.json(results); 50: } 51: }); 52: } 53: }); 54: }); 55:  56: app.get("/sproc/:key/:culture", function (req, res) { 57: sql.open(connectionString, function (err, conn) { 58: if (err) { 59: console.log(err); 60: res.send(500, "Cannot open connection."); 61: } 62: else { 63: var key = req.params.key; 64: var culture = req.params.culture; 65: var command = "EXEC GetItem '" + key + "', '" + culture + "'"; 66: conn.queryRaw(command, function (err, results) { 67: if (err) { 68: console.log(err); 69: res.send(500, "Cannot retrieve records."); 70: } 71: else { 72: res.json(results); 73: } 74: }); 75: } 76: }); 77: }); 78:  79: app.post("/new", function (req, res) { 80: var key = req.body.key; 81: var culture = req.body.culture; 82: var val = req.body.val; 83:  84: sql.open(connectionString, function (err, conn) { 85: if (err) { 86: console.log(err); 87: res.send(500, "Cannot open connection."); 88: } 89: else { 90: var command = "INSERT INTO [Resource] VALUES ('" + key + "', '" + culture + "', N'" + val + "')"; 91: conn.queryRaw(command, function (err, results) { 92: if (err) { 93: console.log(err); 94: res.send(500, "Cannot retrieve records."); 95: } 96: else { 97: res.send(200, "Inserted Successful"); 98: } 99: }); 100: } 101: }); 102: }); 103:  104: app.listen(port); Now let’s create a new function, copy the records from WASD to table service. 1. Delete the table named “resource”. 2. Create a new table named “resource”. These 2 steps ensures that we have an empty table. 3. Load all records from the “resource” table in WASD. 4. For each records loaded from WASD, insert them into the table one by one. 5. Prompt to user when finished. In order to use table service we need the storage account and key, which can be found from the developer portal. Just select the storage account and click the Manage Keys button. Then create two local variants in our Node.js application for the storage account name and key. Since we need to use WAS we need to import the azure module. Also I created another variant stored the table name. In order to work with table service I need to create the storage client for table service. This is very similar as the Windows Azure SDK for .NET. As the code below I created a new variant named “client” and use “createTableService”, specified my storage account name and key. 1: var azure = require("azure"); 2: var storageAccountName = "synctile"; 3: var storageAccountKey = "/cOy9L7xysXOgPYU9FjDvjrRAhaMX/5tnOpcjqloPNDJYucbgTy7MOrAW7CbUg6PjaDdmyl+6pkwUnKETsPVNw=="; 4: var tableName = "resource"; 5: var client = azure.createTableService(storageAccountName, storageAccountKey); Now create a new function for URL “/was/init” so that we can trigger it through browser. Then in this function we will firstly load all records from WASD. 1: app.get("/was/init", function (req, res) { 2: // load all records from windows azure sql database 3: sql.open(connectionString, function (err, conn) { 4: if (err) { 5: console.log(err); 6: res.send(500, "Cannot open connection."); 7: } 8: else { 9: conn.queryRaw("SELECT * FROM [Resource]", function (err, results) { 10: if (err) { 11: console.log(err); 12: res.send(500, "Cannot retrieve records."); 13: } 14: else { 15: if (results.rows.length > 0) { 16: // begin to transform the records into table service 17: } 18: } 19: }); 20: } 21: }); 22: }); When we succeed loaded all records we can start to transform them into table service. First I need to recreate the table in table service. This can be done by deleting and creating the table through table client I had just created previously. 1: app.get("/was/init", function (req, res) { 2: // load all records from windows azure sql database 3: sql.open(connectionString, function (err, conn) { 4: if (err) { 5: console.log(err); 6: res.send(500, "Cannot open connection."); 7: } 8: else { 9: conn.queryRaw("SELECT * FROM [Resource]", function (err, results) { 10: if (err) { 11: console.log(err); 12: res.send(500, "Cannot retrieve records."); 13: } 14: else { 15: if (results.rows.length > 0) { 16: // begin to transform the records into table service 17: // recreate the table named 'resource' 18: client.deleteTable(tableName, function (error) { 19: client.createTableIfNotExists(tableName, function (error) { 20: if (error) { 21: error["target"] = "createTableIfNotExists"; 22: res.send(500, error); 23: } 24: else { 25: // transform the records 26: } 27: }); 28: }); 29: } 30: } 31: }); 32: } 33: }); 34: }); As you can see, the azure SDK provide its methods in callback pattern. In fact, almost all modules in Node.js use the callback pattern. For example, when I deleted a table I invoked “deleteTable” method, provided the name of the table and a callback function which will be performed when the table had been deleted or failed. Underlying, the azure module will perform the table deletion operation in POSIX async threads pool asynchronously. And once it’s done the callback function will be performed. This is the reason we need to nest the table creation code inside the deletion function. If we perform the table creation code after the deletion code then they will be invoked in parallel. Next, for each records in WASD I created an entity and then insert into the table service. Finally I send the response to the browser. Can you find a bug in the code below? I will describe it later in this post. 1: app.get("/was/init", function (req, res) { 2: // load all records from windows azure sql database 3: sql.open(connectionString, function (err, conn) { 4: if (err) { 5: console.log(err); 6: res.send(500, "Cannot open connection."); 7: } 8: else { 9: conn.queryRaw("SELECT * FROM [Resource]", function (err, results) { 10: if (err) { 11: console.log(err); 12: res.send(500, "Cannot retrieve records."); 13: } 14: else { 15: if (results.rows.length > 0) { 16: // begin to transform the records into table service 17: // recreate the table named 'resource' 18: client.deleteTable(tableName, function (error) { 19: client.createTableIfNotExists(tableName, function (error) { 20: if (error) { 21: error["target"] = "createTableIfNotExists"; 22: res.send(500, error); 23: } 24: else { 25: // transform the records 26: for (var i = 0; i < results.rows.length; i++) { 27: var entity = { 28: "PartitionKey": results.rows[i][1], 29: "RowKey": results.rows[i][0], 30: "Value": results.rows[i][2] 31: }; 32: client.insertEntity(tableName, entity, function (error) { 33: if (error) { 34: error["target"] = "insertEntity"; 35: res.send(500, error); 36: } 37: else { 38: console.log("entity inserted"); 39: } 40: }); 41: } 42: // send the 43: console.log("all done"); 44: res.send(200, "All done!"); 45: } 46: }); 47: }); 48: } 49: } 50: }); 51: } 52: }); 53: }); Now we can publish it to the cloud and have a try. But normally we’d better test it at the local emulator first. In Node.js SDK there are three build-in properties which provides the account name, key and host address for local storage emulator. We can use them to initialize our table service client. We also need to change the SQL connection string to let it use my local database. The code will be changed as below. 1: // windows azure sql database 2: //var connectionString = "Driver={SQL Server Native Client 10.0};Server=tcp:ac6271ya9e.database.windows.net,1433;Database=synctile;Uid=shaunxu@ac6271ya9e;Pwd=eszqu94XZY;Encrypt=yes;Connection Timeout=30;"; 3: // sql server 4: var connectionString = "Driver={SQL Server Native Client 11.0};Server={.};Database={Caspar};Trusted_Connection={Yes};"; 5:  6: var azure = require("azure"); 7: var storageAccountName = "synctile"; 8: var storageAccountKey = "/cOy9L7xysXOgPYU9FjDvjrRAhaMX/5tnOpcjqloPNDJYucbgTy7MOrAW7CbUg6PjaDdmyl+6pkwUnKETsPVNw=="; 9: var tableName = "resource"; 10: // windows azure storage 11: //var client = azure.createTableService(storageAccountName, storageAccountKey); 12: // local storage emulator 13: var client = azure.createTableService(azure.ServiceClient.DEVSTORE_STORAGE_ACCOUNT, azure.ServiceClient.DEVSTORE_STORAGE_ACCESS_KEY, azure.ServiceClient.DEVSTORE_TABLE_HOST); Now let’s run the application and navigate to “localhost:12345/was/init” as I hosted it on port 12345. We can find it transformed the data from my local database to local table service. Everything looks fine. But there is a bug in my code. If we have a look on the Node.js command window we will find that it sent response before all records had been inserted, which is not what I expected. The reason is that, as I mentioned before, Node.js perform all IO operations in non-blocking model. When we inserted the records we executed the table service insert method in parallel, and the operation of sending response was also executed in parallel, even though I wrote it at the end of my logic. The correct logic should be, when all entities had been copied to table service with no error, then I will send response to the browser, otherwise I should send error message to the browser. To do so I need to import another module named “async”, which helps us to coordinate our asynchronous code. Install the module and import it at the beginning of the code. Then we can use its “forEach” method for the asynchronous code of inserting table entities. The first argument of “forEach” is the array that will be performed. The second argument is the operation for each items in the array. And the third argument will be invoked then all items had been performed or any errors occurred. Here we can send our response to browser. 1: app.get("/was/init", function (req, res) { 2: // load all records from windows azure sql database 3: sql.open(connectionString, function (err, conn) { 4: if (err) { 5: console.log(err); 6: res.send(500, "Cannot open connection."); 7: } 8: else { 9: conn.queryRaw("SELECT * FROM [Resource]", function (err, results) { 10: if (err) { 11: console.log(err); 12: res.send(500, "Cannot retrieve records."); 13: } 14: else { 15: if (results.rows.length > 0) { 16: // begin to transform the records into table service 17: // recreate the table named 'resource' 18: client.deleteTable(tableName, function (error) { 19: client.createTableIfNotExists(tableName, function (error) { 20: if (error) { 21: error["target"] = "createTableIfNotExists"; 22: res.send(500, error); 23: } 24: else { 25: async.forEach(results.rows, 26: // transform the records 27: function (row, callback) { 28: var entity = { 29: "PartitionKey": row[1], 30: "RowKey": row[0], 31: "Value": row[2] 32: }; 33: client.insertEntity(tableName, entity, function (error) { 34: if (error) { 35: callback(error); 36: } 37: else { 38: console.log("entity inserted."); 39: callback(null); 40: } 41: }); 42: }, 43: // send reponse 44: function (error) { 45: if (error) { 46: error["target"] = "insertEntity"; 47: res.send(500, error); 48: } 49: else { 50: console.log("all done"); 51: res.send(200, "All done!"); 52: } 53: } 54: ); 55: } 56: }); 57: }); 58: } 59: } 60: }); 61: } 62: }); 63: }); Run it locally and now we can find the response was sent after all entities had been inserted. Query entities against table service is simple as well. Just use the “queryEntity” method from the table service client and providing the partition key and row key. We can also provide a complex query criteria as well, for example the code here. In the code below I queried an entity by the partition key and row key, and return the proper localization value in response. 1: app.get("/was/:key/:culture", function (req, res) { 2: var key = req.params.key; 3: var culture = req.params.culture; 4: client.queryEntity(tableName, culture, key, function (error, entity) { 5: if (error) { 6: res.send(500, error); 7: } 8: else { 9: res.json(entity); 10: } 11: }); 12: }); And then tested it on local emulator. Finally if we want to publish this application to the cloud we should change the database connection string and storage account. For more information about how to consume blob and queue service, as well as the service bus please refer to the MSDN page.   Consume Service Runtime As I mentioned above, before we published our application to the cloud we need to change the connection string and account information in our code. But if you had played with WACS you should have known that the service runtime provides the ability to retrieve configuration settings, endpoints and local resource information at runtime. Which means we can have these values defined in CSCFG and CSDEF files and then the runtime should be able to retrieve the proper values. For example we can add some role settings though the property window of the role, specify the connection string and storage account for cloud and local. And the can also use the endpoint which defined in role environment to our Node.js application. In Node.js SDK we can get an object from “azure.RoleEnvironment”, which provides the functionalities to retrieve the configuration settings and endpoints, etc.. In the code below I defined the connection string variants and then use the SDK to retrieve and initialize the table client. 1: var connectionString = ""; 2: var storageAccountName = ""; 3: var storageAccountKey = ""; 4: var tableName = ""; 5: var client; 6:  7: azure.RoleEnvironment.getConfigurationSettings(function (error, settings) { 8: if (error) { 9: console.log("ERROR: getConfigurationSettings"); 10: console.log(JSON.stringify(error)); 11: } 12: else { 13: console.log(JSON.stringify(settings)); 14: connectionString = settings["SqlConnectionString"]; 15: storageAccountName = settings["StorageAccountName"]; 16: storageAccountKey = settings["StorageAccountKey"]; 17: tableName = settings["TableName"]; 18:  19: console.log("connectionString = %s", connectionString); 20: console.log("storageAccountName = %s", storageAccountName); 21: console.log("storageAccountKey = %s", storageAccountKey); 22: console.log("tableName = %s", tableName); 23:  24: client = azure.createTableService(storageAccountName, storageAccountKey); 25: } 26: }); In this way we don’t need to amend the code for the configurations between local and cloud environment since the service runtime will take care of it. At the end of the code we will listen the application on the port retrieved from SDK as well. 1: azure.RoleEnvironment.getCurrentRoleInstance(function (error, instance) { 2: if (error) { 3: console.log("ERROR: getCurrentRoleInstance"); 4: console.log(JSON.stringify(error)); 5: } 6: else { 7: console.log(JSON.stringify(instance)); 8: if (instance["endpoints"] && instance["endpoints"]["nodejs"]) { 9: var endpoint = instance["endpoints"]["nodejs"]; 10: app.listen(endpoint["port"]); 11: } 12: else { 13: app.listen(8080); 14: } 15: } 16: }); But if we tested the application right now we will find that it cannot retrieve any values from service runtime. This is because by default, the entry point of this role was defined to the worker role class. In windows azure environment the service runtime will open a named pipeline to the entry point instance, so that it can connect to the runtime and retrieve values. But in this case, since the entry point was worker role and the Node.js was opened inside the role, the named pipeline was established between our worker role class and service runtime, so our Node.js application cannot use it. To fix this problem we need to open the CSDEF file under the azure project, add a new element named Runtime. Then add an element named EntryPoint which specify the Node.js command line. So that the Node.js application will have the connection to service runtime, then it’s able to read the configurations. Start the Node.js at local emulator we can find it retrieved the connections, storage account for local. And if we publish our application to azure then it works with WASD and storage service through the configurations for cloud.   Summary In this post I demonstrated how to use Windows Azure SDK for Node.js to interact with storage service, especially the table service. I also demonstrated on how to use WACS service runtime, how to retrieve the configuration settings and the endpoint information. And in order to make the service runtime available to my Node.js application I need to create an entry point element in CSDEF file and set “node.exe” as the entry point. I used five posts to introduce and demonstrate on how to run a Node.js application on Windows platform, how to use Windows Azure Web Site and Windows Azure Cloud Service worker role to host our Node.js application. I also described how to work with other services provided by Windows Azure platform through Windows Azure SDK for Node.js. Node.js is a very new and young network application platform. But since it’s very simple and easy to learn and deploy, as well as, it utilizes single thread non-blocking IO model, Node.js became more and more popular on web application and web service development especially for those IO sensitive projects. And as Node.js is very good at scaling-out, it’s more useful on cloud computing platform. Use Node.js on Windows platform is new, too. The modules for SQL database and Windows Azure SDK are still under development and enhancement. It doesn’t support SQL parameter in “node-sqlserver”. It does support using storage connection string to create the storage client in “azure”. But Microsoft is working on make them easier to use, working on add more features and functionalities.   PS, you can download the source code here. You can download the source code of my “Copy all always” tool here.   Hope this helps, Shaun All documents and related graphics, codes are provided "AS IS" without warranty of any kind. Copyright © Shaun Ziyan Xu. This work is licensed under the Creative Commons License.

    Read the article

  • active directory servers synchronization

    - by Mit Naik
    I have 3 AD servers with windows server 2008 R2 at 3 different places, main server is at datacenter and 2 are in our local office which are at 2 different place. I want to synchornize all the 3 server together, were datacenter server should be central server and rest 2 servers should synch with the datacenter server. Please provide us the steps or tutorial to do this. Also we want that once the changes are done in 1 of the AD server the changes are automatically done in all the servers. For example if I change the password of user in our local server it should be updated in our main AD server and other branch server too. Please provide us the steps or tutorial to do this asap. I have one more question I have already created main datacenter AD as domain.local and other domains as xyz.local and abc.local, how can I replicate the additional AD domains with main datacenter DC, also do we require VPN connection, is there any other way to replicate the servers without using VPN connection?

    Read the article

< Previous Page | 117 118 119 120 121 122 123 124 125 126 127 128  | Next Page >