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  • Async Task in a loop

    - by Ankuj
    How does one create an AsyncTask which keeps running itself after a fixed interval of time. For eg. get data from server every 5 minutes and give notification to caller thread that it has received the data. I searched on the forum but could not find much. What I have gathered so far is that 1) A UI thread will call AsyncTask 2) onPrExecute for UI thread access before executing 3) OnPostExecute for UI thread access after executing I dont need to show any progress update to the user. Also, the task will be destroyed when the app closes. Any tutorial for this will he helpful

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  • Regarding Notify()

    - by user1334074
    I was going through threads and I read that ..The notify() method is used to send a signal to one and only one of the threads that are waiting in that same object's waiting pool. The method notifyAll() works in the same way as notify(), only it sends the signal to all of the threads waiting on the object.... Now my query is that if Lets say I have 5 threads and one main thread , so initially the main thread starts and then five other threads start , Now I want to send notification to third thread only , How could it be possible with the use of notify(), since here I am sending notification to third thread only , please advise.

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  • Parallelism in .NET – Part 11, Divide and Conquer via Parallel.Invoke

    - by Reed
    Many algorithms are easily written to work via recursion.  For example, most data-oriented tasks where a tree of data must be processed are much more easily handled by starting at the root, and recursively “walking” the tree.  Some algorithms work this way on flat data structures, such as arrays, as well.  This is a form of divide and conquer: an algorithm design which is based around breaking up a set of work recursively, “dividing” the total work in each recursive step, and “conquering” the work when the remaining work is small enough to be solved easily. Recursive algorithms, especially ones based on a form of divide and conquer, are often a very good candidate for parallelization. This is apparent from a common sense standpoint.  Since we’re dividing up the total work in the algorithm, we have an obvious, built-in partitioning scheme.  Once partitioned, the data can be worked upon independently, so there is good, clean isolation of data. Implementing this type of algorithm is fairly simple.  The Parallel class in .NET 4 includes a method suited for this type of operation: Parallel.Invoke.  This method works by taking any number of delegates defined as an Action, and operating them all in parallel.  The method returns when every delegate has completed: Parallel.Invoke( () => { Console.WriteLine("Action 1 executing in thread {0}", Thread.CurrentThread.ManagedThreadId); }, () => { Console.WriteLine("Action 2 executing in thread {0}", Thread.CurrentThread.ManagedThreadId); }, () => { Console.WriteLine("Action 3 executing in thread {0}", Thread.CurrentThread.ManagedThreadId); } ); .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; } Running this simple example demonstrates the ease of using this method.  For example, on my system, I get three separate thread IDs when running the above code.  By allowing any number of delegates to be executed directly, concurrently, the Parallel.Invoke method provides us an easy way to parallelize any algorithm based on divide and conquer.  We can divide our work in each step, and execute each task in parallel, recursively. For example, suppose we wanted to implement our own quicksort routine.  The quicksort algorithm can be designed based on divide and conquer.  In each iteration, we pick a pivot point, and use that to partition the total array.  We swap the elements around the pivot, then recursively sort the lists on each side of the pivot.  For example, let’s look at this simple, sequential implementation of quicksort: public static void QuickSort<T>(T[] array) where T : IComparable<T> { QuickSortInternal(array, 0, array.Length - 1); } private static void QuickSortInternal<T>(T[] array, int left, int right) where T : IComparable<T> { if (left >= right) { return; } SwapElements(array, left, (left + right) / 2); int last = left; for (int current = left + 1; current <= right; ++current) { if (array[current].CompareTo(array[left]) < 0) { ++last; SwapElements(array, last, current); } } SwapElements(array, left, last); QuickSortInternal(array, left, last - 1); QuickSortInternal(array, last + 1, right); } static void SwapElements<T>(T[] array, int i, int j) { T temp = array[i]; array[i] = array[j]; array[j] = temp; } Here, we implement the quicksort algorithm in a very common, divide and conquer approach.  Running this against the built-in Array.Sort routine shows that we get the exact same answers (although the framework’s sort routine is slightly faster).  On my system, for example, I can use framework’s sort to sort ten million random doubles in about 7.3s, and this implementation takes about 9.3s on average. Looking at this routine, though, there is a clear opportunity to parallelize.  At the end of QuickSortInternal, we recursively call into QuickSortInternal with each partition of the array after the pivot is chosen.  This can be rewritten to use Parallel.Invoke by simply changing it to: // Code above is unchanged... SwapElements(array, left, last); Parallel.Invoke( () => QuickSortInternal(array, left, last - 1), () => QuickSortInternal(array, last + 1, right) ); } This routine will now run in parallel.  When executing, we now see the CPU usage across all cores spike while it executes.  However, there is a significant problem here – by parallelizing this routine, we took it from an execution time of 9.3s to an execution time of approximately 14 seconds!  We’re using more resources as seen in the CPU usage, but the overall result is a dramatic slowdown in overall processing time. This occurs because parallelization adds overhead.  Each time we split this array, we spawn two new tasks to parallelize this algorithm!  This is far, far too many tasks for our cores to operate upon at a single time.  In effect, we’re “over-parallelizing” this routine.  This is a common problem when working with divide and conquer algorithms, and leads to an important observation: When parallelizing a recursive routine, take special care not to add more tasks than necessary to fully utilize your system. This can be done with a few different approaches, in this case.  Typically, the way to handle this is to stop parallelizing the routine at a certain point, and revert back to the serial approach.  Since the first few recursions will all still be parallelized, our “deeper” recursive tasks will be running in parallel, and can take full advantage of the machine.  This also dramatically reduces the overhead added by parallelizing, since we’re only adding overhead for the first few recursive calls.  There are two basic approaches we can take here.  The first approach would be to look at the total work size, and if it’s smaller than a specific threshold, revert to our serial implementation.  In this case, we could just check right-left, and if it’s under a threshold, call the methods directly instead of using Parallel.Invoke. The second approach is to track how “deep” in the “tree” we are currently at, and if we are below some number of levels, stop parallelizing.  This approach is a more general-purpose approach, since it works on routines which parse trees as well as routines working off of a single array, but may not work as well if a poor partitioning strategy is chosen or the tree is not balanced evenly. This can be written very easily.  If we pass a maxDepth parameter into our internal routine, we can restrict the amount of times we parallelize by changing the recursive call to: // Code above is unchanged... SwapElements(array, left, last); if (maxDepth < 1) { QuickSortInternal(array, left, last - 1, maxDepth); QuickSortInternal(array, last + 1, right, maxDepth); } else { --maxDepth; Parallel.Invoke( () => QuickSortInternal(array, left, last - 1, maxDepth), () => QuickSortInternal(array, last + 1, right, maxDepth)); } We no longer allow this to parallelize indefinitely – only to a specific depth, at which time we revert to a serial implementation.  By starting the routine with a maxDepth equal to Environment.ProcessorCount, we can restrict the total amount of parallel operations significantly, but still provide adequate work for each processing core. With this final change, my timings are much better.  On average, I get the following timings: Framework via Array.Sort: 7.3 seconds Serial Quicksort Implementation: 9.3 seconds Naive Parallel Implementation: 14 seconds Parallel Implementation Restricting Depth: 4.7 seconds Finally, we are now faster than the framework’s Array.Sort implementation.

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  • Getting WCF Services in a Silverlight solution to play nice on deployment

    - by brendonpage
    I have come across 2 issues with deploying WCF services in a Silverlight solution, admittedly the one is more of a hiccup, and only occurs if you take the easy way out and reference your services through visual studio. The First Issue This occurs when you deploy your WFC services to an IIS server. When browse to the services using your web browser, you are greeted with “This collection already contains an address with scheme http.  There can be at most one address per scheme in this collection.”. When you make a call to this service from your Silverlight application, you get the extremely helpful “NotFound” error, this error message can be found in the error property of the event arguments on the complete event handler for that call. As it did with me this will leave most people scratching their head, because the very same services work just fine on the ASP.NET Development Web Server and on my local IIS server. Now I’m no server/hosting/IIS expert so I did a bit of searching when I first encountered this issue. I found out this happens because IIS supports multiple address bindings per protocol (http/https/ftp … etc) per web site, but WCF only supports binding to one address per protocol. This causes a problem when the WCF service is hosted on a site with multiple address bindings, because IIS provides all of the bindings to the host factory when running the service. While this problem occurs mainly on shared hosting solutions, it is not limited to shared hosting, it just seems like all shared hosting providers setup sites on their servers with multiple address bindings. For interests sake I added functionality to the example project attached to this post to dump the addresses given to the WCF service by IIS into a log file. This was the output on the shared hosting solution I use: http://mydomain.co.za/Services/TestService.svc http://www.mydomain.co.za/Services/TestService.svc http://mydomain-co-za.win13.wadns.net/Services/TestService.svc http://win13/Services/TestService.svc As you can see all these addresses are for the http protocol, which is where it all goes wrong for WCF. Fixes for the First Issue There are a few ways to get around this. The first being the easiest, target .NET 4! Yes that's right in .NET 4 WCF services support multiple addresses per protocol. This functionality is enabled by an option, which is on by default if you create a new project, you will need to turn on if you are upgrading to .NET 4. To do this set the multipleSiteBindingsEnabled property of the serviceHostingEnviroment tag in the web.config file to true, as shown below: <system.serviceModel>     <serviceHostingEnvironment multipleSiteBindingsEnabled="true" /> </system.serviceModel> Beware this ONLY works in .NET 4, so if you don’t have a server with .NET 4 installed on that you can deploy to, you will need to employ one of the other work a rounds. The second option will work for .NET 3.5 & 4. For this option all you need to do is modify the web.config file and add baseAddressPrefixFilters to the serviceHostingEnviroment tag as shown below: <system.serviceModel>     <serviceHostingEnvironment>         <baseAddressPrefixFilters>              <add prefix="http://www.mydomain.co.za"/>         </baseAddressPrefixFilters>     </serviceHostingEnvironment> </system.serviceModel> These will be used to filter the list of base addresses that IIS provides to the host factory. When specifying these prefix filters be sure to specify filters which will only allow 1 result through, otherwise the entire exercise will be pointless. There is however a problem with this work a round, you are only allowed to specify 1 prefix filter per protocol. Which means you can’t add filters for all your environments, this will therefore add to the list of things to do before deploying or switching dev machines. The third option is the one I currently employ, it will work for .NET 3, 3.5 & 4, although it is not needed for .NET 4. For this option you create a custom host factory which inherits from the ServiceHostFactory class. In the implementation of the ServiceHostFactory you employ logic to figure out which of the base addresses, that are give by IIS, to use when creating the service host. The logic you use to do this is completely up to you, I have seen quite a few solutions that simply statically reference an index from the list of base addresses, this works for most situations but falls short in others. For instance, if the order of the base addresses where to change, it might end up returning an address that only resolves on the servers local network, like the last one in the example I gave at the beginning. Another instance, if a request comes in on a different protocol, like https, you will be creating the service host using an address which is on the incorrect protocol, like http. To reliably find the correct address to use, I use the address that the service was requested on. To accomplish this I use the HttpContext, which requires the service to operate with AspNetCompatibilityRequirements set on. If for some reason running you services with AspNetCompatibilityRequirements on isn’t an option, you can still use this method, you will just have to come up with your own logic for selecting the correct address. First you will need to enable AspNetCompatibilityRequirements for your hosting environment, to do this you will need to set it to true in the web.config file as shown below: <system.serviceModel>     <serviceHostingEnvironment AspNetCompatibilityRequirements="true" /> </system.serviceModel> You will then need to mark any services that are going to use the custom host factory, to allow AspNetCompatibilityRequirements, as shown below: [AspNetCompatibilityRequirements(RequirementsMode = AspNetCompatibilityRequirementsMode.Allowed)] public class TestService { } Now for the custom host factory, this is where the logic lives that selects the correct address to create service host with. The one i use is shown below: public class CustomHostFactory : ServiceHostFactory { protected override ServiceHost CreateServiceHost(Type serviceType, Uri[] baseAddresses) { // // Compose a prefix filter based on the requested uri // string prefixFilter = HttpContext.Current.Request.Url.Scheme + "://" + HttpContext.Current.Request.Url.DnsSafeHost; if (!HttpContext.Current.Request.Url.IsDefaultPort) { prefixFilter += ":" + HttpContext.Current.Request.Url.Port.ToString() + "/"; } // // Find a base address that matches the prefix filter // foreach (Uri baseAddress in baseAddresses) { if (baseAddress.OriginalString.StartsWith(prefixFilter)) { return new ServiceHost(serviceType, baseAddress); } } // // Throw exception if no matching base address was found // throw new Exception("Custom Host Factory: No base address matching '" + prefixFilter + "' was found."); } } The most important line in the custom host factory is the one that returns a new service host. This has to return a service host that specifies only one base address per protocol. Since I filter by the address the request came on in, I only need to create the service host with one address, since this address will always be of the correct protocol. Now you have a custom host factory you have to tell your services to use it. To do this you view the markup of the service by right clicking on it in the solution explorer and choosing “View Markup”. Then you add/set the value of the Factory property to the full namespace path of you custom host factory, as shown below. And that is it done, the service will now use the specified custom host factory. The Second Issue As I mentioned earlier this issue is more of a hiccup, but I thought worthy of a mention so I included it. This issue only occurs when you add a service reference to a Silverlight project. Visual Studio will generate a lot of code for you, part of that generated code is the ServiceReferences.ClientConfig file. This file stores the endpoint configuration that is used when accessing your services using the generated proxy classes. Here is what that file looks like: <configuration>     <system.serviceModel>         <bindings>             <customBinding>                 <binding name="CustomBinding_TestService">                     <binaryMessageEncoding />                     <httpTransport maxReceivedMessageSize="2147483647" maxBufferSize="2147483647" />                 </binding>                 <binding name="CustomBinding_BrokenService">                     <binaryMessageEncoding />                     <httpTransport maxReceivedMessageSize="2147483647" maxBufferSize="2147483647" />                 </binding>             </customBinding>         </bindings>         <client>             <endpoint address="http://localhost:49347/services/TestService.svc"                 binding="customBinding" bindingConfiguration="CustomBinding_TestService"                 contract="TestService.TestService" name="CustomBinding_TestService" />             <endpoint address="http://localhost:49347/Services/BrokenService.svc"                 binding="customBinding" bindingConfiguration="CustomBinding_BrokenService"                 contract="BrokenService.BrokenService" name="CustomBinding_BrokenService" />         </client>     </system.serviceModel> </configuration> As you will notice the addresses for the end points are set to the addresses of the services you added the service references from, so unless you are adding the service references from your live services, you will have to change these addresses before you deploy. This is little more than an annoyance really, but it adds to the list of things to do before you can deploy, and if left unchecked that list can get out of control. Fix for the Second Issue The way you would usually access a service added this way is to create an instance of the proxy class like so: BrokenServiceClient proxy = new BrokenServiceClient(); Closer inspection of these generated proxy classes reveals that there are a few overloaded constructors, one of which allows you to specify the end point address to use when creating the proxy. From here all you have to do is come up with some logic that will provide you with the relative path to your services. Since my WCF services are usually hosted in the same project as my Silverlight app I use the class shown below: public class ServiceProxyHelper { /// <summary> /// Create a broken service proxy /// </summary> /// <returns>A broken service proxy</returns> public static BrokenServiceClient CreateBrokenServiceProxy() { Uri address = new Uri(Application.Current.Host.Source, "../Services/BrokenService.svc"); return new BrokenServiceClient("CustomBinding_BrokenService", address.AbsoluteUri); } } Then I will create an instance of the proxy class using my service helper class like so: BrokenServiceClient proxy = ServiceProxyHelper.CreateBrokenServiceProxy(); The way this works is “Application.Current.Host.Source” will return the URL to the ClientBin folder the Silverlight app is hosted in, the “../Services/BrokenService.svc” is then used as the relative path to the service from the ClientBin folder, combined by the Uri object this gives me the URL to my service. The “CustomBinding_BrokenService” is a reference to the end point configuration in the ServiceReferences.ClientConfig file. Yes this means you still need the ServiceReferences.ClientConfig file. All this is doing is using a different end point address than the one specified in the ServiceReferences.ClientConfig file, all the other settings form the ServiceReferences.ClientConfig file are still used when creating the proxy. I have uploaded an example project which covers the custom host factory solution from the first issue and everything from the second issue. I included the code to write a list of base addresses to a log file in my implementation of the custom host factory, this is not need for the custom host factory to function and can safely be removed. Download (WCFServicesDeploymentExample.zip)

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  • Observable Collections

    - by SGWellens
    I didn't think it was possible, but .NET surprised me yet again with a cool feature I never knew existed: The ObservableCollection. This became available in .NET 3.0. In essence, an ObservableCollection is a collection with an event you can connect to. The event fires when the collection changes. As usual, working with the .NET classes is so ridiculously easy, it feels like cheating. The following is small test program to illustrate how the ObservableCollection works. To start, create an ObservableCollection and then store it in the Session object so it will persist between page post backs. I also added the code to pull it out of Session state when there is a page post back:   public partial class _Default : System.Web.UI.Page{    public ObservableCollection<int> MyInts;     // ---- Page_Load ------------------------------     protected void Page_Load(object sender, EventArgs e)    {        if (IsPostBack == false)        {            MyInts = new ObservableCollection<int>();            MyInts.CollectionChanged += CollectionChangedHandler;             Session["MyInts"] = MyInts;  // store for use between postbacks        }        else        {            MyInts = Session["MyInts"] as ObservableCollection<int>;        }    } Here's the event handler I hooked up to the ObservableCollection, it writes status strings to a ListBox. Note: The event handler fires in a different thread than the IIS process thread.     // ---- CollectionChangedHandler -----------------------------------    //    // Something changed in the Observable collection     public void CollectionChangedHandler(object sender, NotifyCollectionChangedEventArgs e)    {        // need to dig around to get the current page and control to write to:        // (because this is in a separate thread)        Page CurrentPage = System.Web.HttpContext.Current.Handler as Page;        ListBox LB = CurrentPage.FindControl("ListBoxHistory") as ListBox;         switch (e.Action)        {            case NotifyCollectionChangedAction.Add:                LB.Items.Add("Add: " + e.NewItems[0]);                               break;             case NotifyCollectionChangedAction.Remove:                LB.Items.Add("Remove: " + e.OldItems[0]);                break;             case NotifyCollectionChangedAction.Reset:                LB.Items.Add("Reset: ");                break;             default:                LB.Items.Add(e.Action.ToString());                break;                     }    }  Next, add some buttons and code to exercise the ObservableCollection:     <br />    <asp:Button ID="ButtonAdd" runat="server" Text="Add" OnClick="ButtonAdd_Click" />    <asp:Button ID="ButtonRemove" runat="server" Text="Remove" OnClick="ButtonRemove_Click" />    <asp:Button ID="ButtonReset" runat="server" Text="Reset" OnClick="ButtonReset_Click" />    <asp:Button ID="ButtonList" runat="server" Text="List" OnClick="ButtonList_Click" />    <br />    <asp:TextBox ID="TextBoxInt" runat="server" Width="51px"></asp:TextBox>    <br />    <asp:ListBox ID="ListBoxHistory" runat="server" Height="255px" Width="195px">    </asp:ListBox>    // ---- Add Button --------------------------------------     protected void ButtonAdd_Click(object sender, EventArgs e)    {        int Temp;        if (int.TryParse(TextBoxInt.Text, out Temp) == true)            MyInts.Add(Temp);    }     // ---- Remove Button --------------------------------------     protected void ButtonRemove_Click(object sender, EventArgs e)    {        int Temp;        if (int.TryParse(TextBoxInt.Text, out Temp) == true)            MyInts.Remove(Temp);    }     // ---- Button Reset -----------------------------------     protected void ButtonReset_Click(object sender, EventArgs e)    {        MyInts.Clear();    }     // ---- Button List --------------------------------------     protected void ButtonList_Click(object sender, EventArgs e)    {        ListBoxHistory.Items.Add("MyInts:");        foreach (int i in MyInts)        {            // a bit of tweaking to get the text to be indented            ListItem LI = new ListItem("&nbsp;&nbsp;" + i.ToString());            LI.Text = Server.HtmlDecode(LI.Text);            ListBoxHistory.Items.Add(LI);        }    } Here's what it looks like after entering some numbers and clicking some buttons: An interesting note is that I had to use: System.Web.HttpContext.Current.Response to write to a control on the page. As mentioned earlier, this implies that the notification event is in a thread separate from the IIS thread. Another interesting note: From the online help: Any public static (Shared in Visual Basic) members of this type are thread safe. Any instance members are not guaranteed to be thread safe What does that mean to Asp.Net developers? If you are going to share an ObservableCollection among different sessions, you'd better make it a static object. I hope someone finds this useful. Steve Wellens

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  • USB Hub and Ubuntu

    - by aserwin
    I have a powered 7 port hub connected to my Ubuntu box and it does nothing. The devices (zip drive and web cam) work direct, but aren't recognized through the hub. This worked fine in Windows 7. I can't prove it is the OS because this is a new motherboard and processor. Any advice? EDIT : Output from lsusb -v Bus 001 Device 001: ID 1d6b:0002 Linux Foundation 2.0 root hub Device Descriptor: bLength 18 bDescriptorType 1 bcdUSB 2.00 bDeviceClass 9 Hub bDeviceSubClass 0 Unused bDeviceProtocol 0 Full speed (or root) hub bMaxPacketSize0 64 idVendor 0x1d6b Linux Foundation idProduct 0x0002 2.0 root hub bcdDevice 3.02 iManufacturer 3 Linux 3.2.0-32-generic ehci_hcd iProduct 2 EHCI Host Controller iSerial 1 0000:00:12.2 bNumConfigurations 1 Configuration Descriptor: bLength 9 bDescriptorType 2 wTotalLength 25 bNumInterfaces 1 bConfigurationValue 1 iConfiguration 0 bmAttributes 0xe0 Self Powered Remote Wakeup MaxPower 0mA Interface Descriptor: bLength 9 bDescriptorType 4 bInterfaceNumber 0 bAlternateSetting 0 bNumEndpoints 1 bInterfaceClass 9 Hub bInterfaceSubClass 0 Unused bInterfaceProtocol 0 Full speed (or root) hub iInterface 0 Endpoint Descriptor: bLength 7 bDescriptorType 5 bEndpointAddress 0x81 EP 1 IN bmAttributes 3 Transfer Type Interrupt Synch Type None Usage Type Data wMaxPacketSize 0x0004 1x 4 bytes bInterval 12 Hub Descriptor: bLength 9 bDescriptorType 41 nNbrPorts 5 wHubCharacteristic 0x000a No power switching (usb 1.0) Per-port overcurrent protection bPwrOn2PwrGood 10 * 2 milli seconds bHubContrCurrent 0 milli Ampere DeviceRemovable 0x00 PortPwrCtrlMask 0xff Hub Port Status: Port 1: 0000.0100 power Port 2: 0000.0503 highspeed power enable connect Port 3: 0000.0100 power Port 4: 0000.0100 power Port 5: 0000.0100 power Device Status: 0x0001 Self Powered Bus 002 Device 001: ID 1d6b:0002 Linux Foundation 2.0 root hub Device Descriptor: bLength 18 bDescriptorType 1 bcdUSB 2.00 bDeviceClass 9 Hub bDeviceSubClass 0 Unused bDeviceProtocol 0 Full speed (or root) hub bMaxPacketSize0 64 idVendor 0x1d6b Linux Foundation idProduct 0x0002 2.0 root hub bcdDevice 3.02 iManufacturer 3 Linux 3.2.0-32-generic ehci_hcd iProduct 2 EHCI Host Controller iSerial 1 0000:00:13.2 bNumConfigurations 1 Configuration Descriptor: bLength 9 bDescriptorType 2 wTotalLength 25 bNumInterfaces 1 bConfigurationValue 1 iConfiguration 0 bmAttributes 0xe0 Self Powered Remote Wakeup MaxPower 0mA Interface Descriptor: bLength 9 bDescriptorType 4 bInterfaceNumber 0 bAlternateSetting 0 bNumEndpoints 1 bInterfaceClass 9 Hub bInterfaceSubClass 0 Unused bInterfaceProtocol 0 Full speed (or root) hub iInterface 0 Endpoint Descriptor: bLength 7 bDescriptorType 5 bEndpointAddress 0x81 EP 1 IN bmAttributes 3 Transfer Type Interrupt Synch Type None Usage Type Data wMaxPacketSize 0x0004 1x 4 bytes bInterval 12 Hub Descriptor: bLength 9 bDescriptorType 41 nNbrPorts 5 wHubCharacteristic 0x000a No power switching (usb 1.0) Per-port overcurrent protection bPwrOn2PwrGood 10 * 2 milli seconds bHubContrCurrent 0 milli Ampere DeviceRemovable 0x00 PortPwrCtrlMask 0xff Hub Port Status: Port 1: 0000.0100 power Port 2: 0000.0100 power Port 3: 0000.0100 power Port 4: 0000.0100 power Port 5: 0000.0100 power Device Status: 0x0001 Self Powered Bus 003 Device 001: ID 1d6b:0002 Linux Foundation 2.0 root hub Device Descriptor: bLength 18 bDescriptorType 1 bcdUSB 2.00 bDeviceClass 9 Hub bDeviceSubClass 0 Unused bDeviceProtocol 0 Full speed (or root) hub bMaxPacketSize0 64 idVendor 0x1d6b Linux Foundation idProduct 0x0002 2.0 root hub bcdDevice 3.02 iManufacturer 3 Linux 3.2.0-32-generic ehci_hcd iProduct 2 EHCI Host Controller iSerial 1 0000:00:16.2 bNumConfigurations 1 Configuration Descriptor: bLength 9 bDescriptorType 2 wTotalLength 25 bNumInterfaces 1 bConfigurationValue 1 iConfiguration 0 bmAttributes 0xe0 Self Powered Remote Wakeup MaxPower 0mA Interface Descriptor: bLength 9 bDescriptorType 4 bInterfaceNumber 0 bAlternateSetting 0 bNumEndpoints 1 bInterfaceClass 9 Hub bInterfaceSubClass 0 Unused bInterfaceProtocol 0 Full speed (or root) hub iInterface 0 Endpoint Descriptor: bLength 7 bDescriptorType 5 bEndpointAddress 0x81 EP 1 IN bmAttributes 3 Transfer Type Interrupt Synch Type None Usage Type Data wMaxPacketSize 0x0004 1x 4 bytes bInterval 12 Hub Descriptor: bLength 9 bDescriptorType 41 nNbrPorts 4 wHubCharacteristic 0x000a No power switching (usb 1.0) Per-port overcurrent protection bPwrOn2PwrGood 10 * 2 milli seconds bHubContrCurrent 0 milli Ampere DeviceRemovable 0x00 PortPwrCtrlMask 0xff Hub Port Status: Port 1: 0000.0100 power Port 2: 0000.0100 power Port 3: 0000.0100 power Port 4: 0000.0100 power Device Status: 0x0001 Self Powered Bus 004 Device 001: ID 1d6b:0001 Linux Foundation 1.1 root hub Device Descriptor: bLength 18 bDescriptorType 1 bcdUSB 1.10 bDeviceClass 9 Hub bDeviceSubClass 0 Unused bDeviceProtocol 0 Full speed (or root) hub bMaxPacketSize0 64 idVendor 0x1d6b Linux Foundation idProduct 0x0001 1.1 root hub bcdDevice 3.02 iManufacturer 3 Linux 3.2.0-32-generic ohci_hcd iProduct 2 OHCI Host Controller iSerial 1 0000:00:12.0 bNumConfigurations 1 Configuration Descriptor: bLength 9 bDescriptorType 2 wTotalLength 25 bNumInterfaces 1 bConfigurationValue 1 iConfiguration 0 bmAttributes 0xe0 Self Powered Remote Wakeup MaxPower 0mA Interface Descriptor: bLength 9 bDescriptorType 4 bInterfaceNumber 0 bAlternateSetting 0 bNumEndpoints 1 bInterfaceClass 9 Hub bInterfaceSubClass 0 Unused bInterfaceProtocol 0 Full speed (or root) hub iInterface 0 Endpoint Descriptor: bLength 7 bDescriptorType 5 bEndpointAddress 0x81 EP 1 IN bmAttributes 3 Transfer Type Interrupt Synch Type None Usage Type Data wMaxPacketSize 0x0002 1x 2 bytes bInterval 255 Hub Descriptor: bLength 9 bDescriptorType 41 nNbrPorts 5 wHubCharacteristic 0x0002 No power switching (usb 1.0) Ganged overcurrent protection bPwrOn2PwrGood 2 * 2 milli seconds bHubContrCurrent 0 milli Ampere DeviceRemovable 0x00 PortPwrCtrlMask 0xff Hub Port Status: Port 1: 0000.0100 power Port 2: 0000.0100 power Port 3: 0000.0100 power Port 4: 0000.0100 power Port 5: 0000.0100 power Device Status: 0x0001 Self Powered Bus 005 Device 001: ID 1d6b:0001 Linux Foundation 1.1 root hub Device Descriptor: bLength 18 bDescriptorType 1 bcdUSB 1.10 bDeviceClass 9 Hub bDeviceSubClass 0 Unused bDeviceProtocol 0 Full speed (or root) hub bMaxPacketSize0 64 idVendor 0x1d6b Linux Foundation idProduct 0x0001 1.1 root hub bcdDevice 3.02 iManufacturer 3 Linux 3.2.0-32-generic ohci_hcd iProduct 2 OHCI Host Controller iSerial 1 0000:00:13.0 bNumConfigurations 1 Configuration Descriptor: bLength 9 bDescriptorType 2 wTotalLength 25 bNumInterfaces 1 bConfigurationValue 1 iConfiguration 0 bmAttributes 0xe0 Self Powered Remote Wakeup MaxPower 0mA Interface Descriptor: bLength 9 bDescriptorType 4 bInterfaceNumber 0 bAlternateSetting 0 bNumEndpoints 1 bInterfaceClass 9 Hub bInterfaceSubClass 0 Unused bInterfaceProtocol 0 Full speed (or root) hub iInterface 0 Endpoint Descriptor: bLength 7 bDescriptorType 5 bEndpointAddress 0x81 EP 1 IN bmAttributes 3 Transfer Type Interrupt Synch Type None Usage Type Data wMaxPacketSize 0x0002 1x 2 bytes bInterval 255 Hub Descriptor: bLength 9 bDescriptorType 41 nNbrPorts 5 wHubCharacteristic 0x0002 No power switching (usb 1.0) Ganged overcurrent protection bPwrOn2PwrGood 2 * 2 milli seconds bHubContrCurrent 0 milli Ampere DeviceRemovable 0x00 PortPwrCtrlMask 0xff Hub Port Status: Port 1: 0000.0100 power Port 2: 0000.0100 power Port 3: 0000.0100 power Port 4: 0000.0100 power Port 5: 0000.0100 power Device Status: 0x0001 Self Powered Bus 006 Device 001: ID 1d6b:0001 Linux Foundation 1.1 root hub Device Descriptor: bLength 18 bDescriptorType 1 bcdUSB 1.10 bDeviceClass 9 Hub bDeviceSubClass 0 Unused bDeviceProtocol 0 Full speed (or root) hub bMaxPacketSize0 64 idVendor 0x1d6b Linux Foundation idProduct 0x0001 1.1 root hub bcdDevice 3.02 iManufacturer 3 Linux 3.2.0-32-generic ohci_hcd iProduct 2 OHCI Host Controller iSerial 1 0000:00:14.5 bNumConfigurations 1 Configuration Descriptor: bLength 9 bDescriptorType 2 wTotalLength 25 bNumInterfaces 1 bConfigurationValue 1 iConfiguration 0 bmAttributes 0xe0 Self Powered Remote Wakeup MaxPower 0mA Interface Descriptor: bLength 9 bDescriptorType 4 bInterfaceNumber 0 bAlternateSetting 0 bNumEndpoints 1 bInterfaceClass 9 Hub bInterfaceSubClass 0 Unused bInterfaceProtocol 0 Full speed (or root) hub iInterface 0 Endpoint Descriptor: bLength 7 bDescriptorType 5 bEndpointAddress 0x81 EP 1 IN bmAttributes 3 Transfer Type Interrupt Synch Type None Usage Type Data wMaxPacketSize 0x0002 1x 2 bytes bInterval 255 Hub Descriptor: bLength 9 bDescriptorType 41 nNbrPorts 2 wHubCharacteristic 0x0002 No power switching (usb 1.0) Ganged overcurrent protection bPwrOn2PwrGood 2 * 2 milli seconds bHubContrCurrent 0 milli Ampere DeviceRemovable 0x00 PortPwrCtrlMask 0xff Hub Port Status: Port 1: 0000.0100 power Port 2: 0000.0100 power Device Status: 0x0001 Self Powered Bus 007 Device 001: ID 1d6b:0001 Linux Foundation 1.1 root hub Device Descriptor: bLength 18 bDescriptorType 1 bcdUSB 1.10 bDeviceClass 9 Hub bDeviceSubClass 0 Unused bDeviceProtocol 0 Full speed (or root) hub bMaxPacketSize0 64 idVendor 0x1d6b Linux Foundation idProduct 0x0001 1.1 root hub bcdDevice 3.02 iManufacturer 3 Linux 3.2.0-32-generic ohci_hcd iProduct 2 OHCI Host Controller iSerial 1 0000:00:16.0 bNumConfigurations 1 Configuration Descriptor: bLength 9 bDescriptorType 2 wTotalLength 25 bNumInterfaces 1 bConfigurationValue 1 iConfiguration 0 bmAttributes 0xe0 Self Powered Remote Wakeup MaxPower 0mA Interface Descriptor: bLength 9 bDescriptorType 4 bInterfaceNumber 0 bAlternateSetting 0 bNumEndpoints 1 bInterfaceClass 9 Hub bInterfaceSubClass 0 Unused bInterfaceProtocol 0 Full speed (or root) hub iInterface 0 Endpoint Descriptor: bLength 7 bDescriptorType 5 bEndpointAddress 0x81 EP 1 IN bmAttributes 3 Transfer Type Interrupt Synch Type None Usage Type Data wMaxPacketSize 0x0002 1x 2 bytes bInterval 255 Hub Descriptor: bLength 9 bDescriptorType 41 nNbrPorts 4 wHubCharacteristic 0x0002 No power switching (usb 1.0) Ganged overcurrent protection bPwrOn2PwrGood 2 * 2 milli seconds bHubContrCurrent 0 milli Ampere DeviceRemovable 0x00 PortPwrCtrlMask 0xff Hub Port Status: Port 1: 0000.0303 lowspeed power enable connect Port 2: 0000.0100 power Port 3: 0000.0100 power Port 4: 0000.0100 power Device Status: 0x0001 Self Powered Bus 008 Device 001: ID 1d6b:0002 Linux Foundation 2.0 root hub Device Descriptor: bLength 18 bDescriptorType 1 bcdUSB 2.00 bDeviceClass 9 Hub bDeviceSubClass 0 Unused bDeviceProtocol 1 Single TT bMaxPacketSize0 64 idVendor 0x1d6b Linux Foundation idProduct 0x0002 2.0 root hub bcdDevice 3.02 iManufacturer 3 Linux 3.2.0-32-generic xhci_hcd iProduct 2 xHCI Host Controller iSerial 1 0000:02:00.0 bNumConfigurations 1 Configuration Descriptor: bLength 9 bDescriptorType 2 wTotalLength 25 bNumInterfaces 1 bConfigurationValue 1 iConfiguration 0 bmAttributes 0xe0 Self Powered Remote Wakeup MaxPower 0mA Interface Descriptor: bLength 9 bDescriptorType 4 bInterfaceNumber 0 bAlternateSetting 0 bNumEndpoints 1 bInterfaceClass 9 Hub bInterfaceSubClass 0 Unused bInterfaceProtocol 0 Full speed (or root) hub iInterface 0 Endpoint Descriptor: bLength 7 bDescriptorType 5 bEndpointAddress 0x81 EP 1 IN bmAttributes 3 Transfer Type Interrupt Synch Type None Usage Type Data wMaxPacketSize 0x0004 1x 4 bytes bInterval 12 Hub Descriptor: bLength 9 bDescriptorType 41 nNbrPorts 2 wHubCharacteristic 0x0009 Per-port power switching Per-port overcurrent protection TT think time 8 FS bits bPwrOn2PwrGood 10 * 2 milli seconds bHubContrCurrent 0 milli Ampere DeviceRemovable 0x00 PortPwrCtrlMask 0xff Hub Port Status: Port 1: 0000.0100 power Port 2: 0000.0100 power Device Status: 0x0001 Self Powered Bus 009 Device 001: ID 1d6b:0003 Linux Foundation 3.0 root hub Device Descriptor: bLength 18 bDescriptorType 1 bcdUSB 3.00 bDeviceClass 9 Hub bDeviceSubClass 0 Unused bDeviceProtocol 3 bMaxPacketSize0 9 idVendor 0x1d6b Linux Foundation idProduct 0x0003 3.0 root hub bcdDevice 3.02 iManufacturer 3 Linux 3.2.0-32-generic xhci_hcd iProduct 2 xHCI Host Controller iSerial 1 0000:02:00.0 bNumConfigurations 1 Configuration Descriptor: bLength 9 bDescriptorType 2 wTotalLength 31 bNumInterfaces 1 bConfigurationValue 1 iConfiguration 0 bmAttributes 0xe0 Self Powered Remote Wakeup MaxPower 0mA Interface Descriptor: bLength 9 bDescriptorType 4 bInterfaceNumber 0 bAlternateSetting 0 bNumEndpoints 1 bInterfaceClass 9 Hub bInterfaceSubClass 0 Unused bInterfaceProtocol 0 Full speed (or root) hub iInterface 0 Endpoint Descriptor: bLength 7 bDescriptorType 5 bEndpointAddress 0x81 EP 1 IN bmAttributes 3 Transfer Type Interrupt Synch Type None Usage Type Data wMaxPacketSize 0x0004 1x 4 bytes bInterval 12 bMaxBurst 0 Hub Descriptor: bLength 12 bDescriptorType 42 nNbrPorts 2 wHubCharacteristic 0x0009 Per-port power switching Per-port overcurrent protection bPwrOn2PwrGood 10 * 2 milli seconds bHubContrCurrent 0 milli Ampere bHubDecLat 0.0 micro seconds wHubDelay 0 nano seconds DeviceRemovable 0x00 Hub Port Status: Port 1: 0000.02a0 5Gbps power Rx.Detect Port 2: 0000.02a0 5Gbps power Rx.Detect Binary Object Store Descriptor: bLength 5 bDescriptorType 15 wTotalLength 15 bNumDeviceCaps 1 SuperSpeed USB Device Capability: bLength 10 bDescriptorType 16 bDevCapabilityType 3 bmAttributes 0x00 Latency Tolerance Messages (LTM) Supported wSpeedsSupported 0x0008 Device can operate at SuperSpeed (5Gbps) bFunctionalitySupport 3 Lowest fully-functional device speed is SuperSpeed (5Gbps) bU1DevExitLat 3 micro seconds bU2DevExitLat 2047 micro seconds Device Status: 0x0001 Self Powered Bus 001 Device 002: ID 04a9:1709 Canon, Inc. PIXMA MP150 Scanner Device Descriptor: bLength 18 bDescriptorType 1 bcdUSB 2.00 bDeviceClass 0 (Defined at Interface level) bDeviceSubClass 0 bDeviceProtocol 0 bMaxPacketSize0 64 idVendor 0x04a9 Canon, Inc. idProduct 0x1709 PIXMA MP150 Scanner bcdDevice 1.08 iManufacturer 1 Canon iProduct 2 MP150 iSerial 3 20BC24 bNumConfigurations 1 Configuration Descriptor: bLength 9 bDescriptorType 2 wTotalLength 62 bNumInterfaces 2 bConfigurationValue 1 iConfiguration 0 bmAttributes 0xc0 Self Powered MaxPower 2mA Interface Descriptor: bLength 9 bDescriptorType 4 bInterfaceNumber 0 bAlternateSetting 0 bNumEndpoints 3 bInterfaceClass 255 Vendor Specific Class bInterfaceSubClass 0 bInterfaceProtocol 255 iInterface 0 Endpoint Descriptor: bLength 7 bDescriptorType 5 bEndpointAddress 0x07 EP 7 OUT bmAttributes 2 Transfer Type Bulk Synch Type None Usage Type Data wMaxPacketSize 0x0200 1x 512 bytes bInterval 0 Endpoint Descriptor: bLength 7 bDescriptorType 5 bEndpointAddress 0x88 EP 8 IN bmAttributes 2 Transfer Type Bulk Synch Type None Usage Type Data wMaxPacketSize 0x0200 1x 512 bytes bInterval 0 Endpoint Descriptor: bLength 7 bDescriptorType 5 bEndpointAddress 0x89 EP 9 IN bmAttributes 3 Transfer Type Interrupt Synch Type None Usage Type Data wMaxPacketSize 0x0040 1x 64 bytes bInterval 11 Interface Descriptor: bLength 9 bDescriptorType 4 bInterfaceNumber 1 bAlternateSetting 0 bNumEndpoints 2 bInterfaceClass 7 Printer bInterfaceSubClass 1 Printer bInterfaceProtocol 2 Bidirectional iInterface 0 Endpoint Descriptor: bLength 7 bDescriptorType 5 bEndpointAddress 0x01 EP 1 OUT bmAttributes 2 Transfer Type Bulk Synch Type None Usage Type Data wMaxPacketSize 0x0200 1x 512 bytes bInterval 0 Endpoint Descriptor: bLength 7 bDescriptorType 5 bEndpointAddress 0x82 EP 2 IN bmAttributes 2 Transfer Type Bulk Synch Type None Usage Type Data wMaxPacketSize 0x0200 1x 512 bytes bInterval 0 Device Qualifier (for other device speed): bLength 10 bDescriptorType 6 bcdUSB 2.00 bDeviceClass 0 (Defined at Interface level) bDeviceSubClass 0 bDeviceProtocol 0 bMaxPacketSize0 64 bNumConfigurations 1 Device Status: 0x0001 Self Powered Bus 007 Device 002: ID 046d:c517 Logitech, Inc. LX710 Cordless Desktop Laser Device Descriptor: bLength 18 bDescriptorType 1 bcdUSB 1.10 bDeviceClass 0 (Defined at Interface level) bDeviceSubClass 0 bDeviceProtocol 0 bMaxPacketSize0 8 idVendor 0x046d Logitech, Inc. idProduct 0xc517 LX710 Cordless Desktop Laser bcdDevice 38.10 iManufacturer 1 Logitech iProduct 2 USB Receiver iSerial 0 bNumConfigurations 1 Configuration Descriptor: bLength 9 bDescriptorType 2 wTotalLength 59 bNumInterfaces 2 bConfigurationValue 1 iConfiguration 0 bmAttributes 0xa0 (Bus Powered) Remote Wakeup MaxPower 98mA Interface Descriptor: bLength 9 bDescriptorType 4 bInterfaceNumber 0 bAlternateSetting 0 bNumEndpoints 1 bInterfaceClass 3 Human Interface Device bInterfaceSubClass 1 Boot Interface Subclass bInterfaceProtocol 1 Keyboard iInterface 0 HID Device Descriptor: bLength 9 bDescriptorType 33 bcdHID 1.10 bCountryCode 0 Not supported bNumDescriptors 1 bDescriptorType 34 Report wDescriptorLength 59 Report Descriptors: ** UNAVAILABLE ** Endpoint Descriptor: bLength 7 bDescriptorType 5 bEndpointAddress 0x81 EP 1 IN bmAttributes 3 Transfer Type Interrupt Synch Type None Usage Type Data wMaxPacketSize 0x0008 1x 8 bytes bInterval 10 Interface Descriptor: bLength 9 bDescriptorType 4 bInterfaceNumber 1 bAlternateSetting 0 bNumEndpoints 1 bInterfaceClass 3 Human Interface Device bInterfaceSubClass 1 Boot Interface Subclass bInterfaceProtocol 2 Mouse iInterface 0 HID Device Descriptor: bLength 9 bDescriptorType 33 bcdHID 1.10 bCountryCode 0 Not supported bNumDescriptors 1 bDescriptorType 34 Report wDescriptorLength 177 Report Descriptors: ** UNAVAILABLE ** Endpoint Descriptor: bLength 7 bDescriptorType 5 bEndpointAddress 0x82 EP 2 IN bmAttributes 3 Transfer Type Interrupt Synch Type None Usage Type Data wMaxPacketSize 0x0008 1x 8 bytes bInterval 10 Device Status: 0x0000 (Bus Powered) This is with the powered hub plugged in.

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  • Processing Kinect v2 Color Streams in Parallel

    - by Chris Gardner
    Originally posted on: http://geekswithblogs.net/freestylecoding/archive/2014/08/20/processing-kinect-v2-color-streams-in-parallel.aspxProcessing Kinect v2 Color Streams in Parallel I've really been enjoying being a part of the Kinect for Windows Developer's Preview. The new hardware has some really impressive capabilities. However, with great power comes great system specs. Unfortunately, my little laptop that could is not 100% up to the task; I've had to get a little creative. The most disappointing thing I've run into is that I can't always cleanly display the color camera stream in managed code. I managed to strip the code down to what I believe is the bear minimum: using( ColorFrame _ColorFrame = e.FrameReference.AcquireFrame() ) { if( null == _ColorFrame ) return;   BitmapToDisplay.Lock(); _ColorFrame.CopyConvertedFrameDataToIntPtr( BitmapToDisplay.BackBuffer, Convert.ToUInt32( BitmapToDisplay.BackBufferStride * BitmapToDisplay.PixelHeight ), ColorImageFormat.Bgra ); BitmapToDisplay.AddDirtyRect( new Int32Rect( 0, 0, _ColorFrame.FrameDescription.Width, _ColorFrame.FrameDescription.Height ) ); BitmapToDisplay.Unlock(); } With this snippet, I'm placing the converted Bgra32 color stream directly on the BackBuffer of the WriteableBitmap. This gives me pretty smooth playback, but I still get the occasional freeze for half a second. After a bit of profiling, I discovered there were a few problems. The first problem is the size of the buffer along with the conversion on the buffer. At this time, the raw image format of the data from the Kinect is Yuy2. This is great for direct video processing. It would be ideal if I had a WriteableVideo object in WPF. However, this is not the case. Further digging led me to the real problem. It appears that the SDK is converting the input serially. Let's think about this for a second. The color camera is a 1080p camera. As we should all know, this give us a native resolution of 1920 x 1080. This produces 2,073,600 pixels. Yuy2 uses 4 bytes per 2 pixel, for a buffer size of 4,147,200 bytes. Bgra32 uses 4 bytes per pixel, for a buffer size of 8,294,400 bytes. The SDK appears to be doing this on one thread. I started wondering if I chould do this better myself. I mean, I have 8 cores in my system. Why can't I use them all? The first problem is converting a Yuy2 frame into a Bgra32 frame. It is NOT trivial. I spent a day of research of just how to do this. In the end, I didn't even produce the best algorithm possible, but it did work. After I managed to get that to work, I knew my next step was the get the conversion operation off the UI Thread. This was a simple process of throwing the work into a Task. Of course, this meant I had to marshal the final write to the WriteableBitmap back to the UI thread. Finally, I needed to vectorize the operation so I could run it safely in parallel. This was, mercifully, not quite as hard as I thought it would be. I had my loop return an index to a pair of pixels. From there, I had to tell the loop to do everything for this pair of pixels. If you're wondering why I did it for pairs of pixels, look back above at the specification for the Yuy2 format. I won't go into full detail on why each 4 bytes contains 2 pixels of information, but rest assured that there is a reason why the format is described in that way. The first working attempt at this algorithm successfully turned my poor laptop into a space heater. I very quickly brought and maintained all 8 cores up to about 97% usage. That's when I remembered that obscure option in the Task Parallel Library where you could limit the amount of parallelism used. After a little trial and error, I discovered 4 parallel tasks was enough for most cases. This yielded the follow code: private byte ClipToByte( int p_ValueToClip ) { return Convert.ToByte( ( p_ValueToClip < byte.MinValue ) ? byte.MinValue : ( ( p_ValueToClip > byte.MaxValue ) ? byte.MaxValue : p_ValueToClip ) ); }   private void ColorFrameArrived( object sender, ColorFrameArrivedEventArgs e ) { if( null == e.FrameReference ) return;   // If you do not dispose of the frame, you never get another one... using( ColorFrame _ColorFrame = e.FrameReference.AcquireFrame() ) { if( null == _ColorFrame ) return;   byte[] _InputImage = new byte[_ColorFrame.FrameDescription.LengthInPixels * _ColorFrame.FrameDescription.BytesPerPixel]; byte[] _OutputImage = new byte[BitmapToDisplay.BackBufferStride * BitmapToDisplay.PixelHeight]; _ColorFrame.CopyRawFrameDataToArray( _InputImage );   Task.Factory.StartNew( () => { ParallelOptions _ParallelOptions = new ParallelOptions(); _ParallelOptions.MaxDegreeOfParallelism = 4;   Parallel.For( 0, Sensor.ColorFrameSource.FrameDescription.LengthInPixels / 2, _ParallelOptions, ( _Index ) => { // See http://msdn.microsoft.com/en-us/library/windows/desktop/dd206750(v=vs.85).aspx int _Y0 = _InputImage[( _Index << 2 ) + 0] - 16; int _U = _InputImage[( _Index << 2 ) + 1] - 128; int _Y1 = _InputImage[( _Index << 2 ) + 2] - 16; int _V = _InputImage[( _Index << 2 ) + 3] - 128;   byte _R = ClipToByte( ( 298 * _Y0 + 409 * _V + 128 ) >> 8 ); byte _G = ClipToByte( ( 298 * _Y0 - 100 * _U - 208 * _V + 128 ) >> 8 ); byte _B = ClipToByte( ( 298 * _Y0 + 516 * _U + 128 ) >> 8 );   _OutputImage[( _Index << 3 ) + 0] = _B; _OutputImage[( _Index << 3 ) + 1] = _G; _OutputImage[( _Index << 3 ) + 2] = _R; _OutputImage[( _Index << 3 ) + 3] = 0xFF; // A   _R = ClipToByte( ( 298 * _Y1 + 409 * _V + 128 ) >> 8 ); _G = ClipToByte( ( 298 * _Y1 - 100 * _U - 208 * _V + 128 ) >> 8 ); _B = ClipToByte( ( 298 * _Y1 + 516 * _U + 128 ) >> 8 );   _OutputImage[( _Index << 3 ) + 4] = _B; _OutputImage[( _Index << 3 ) + 5] = _G; _OutputImage[( _Index << 3 ) + 6] = _R; _OutputImage[( _Index << 3 ) + 7] = 0xFF; } );   Application.Current.Dispatcher.Invoke( () => { BitmapToDisplay.WritePixels( new Int32Rect( 0, 0, Sensor.ColorFrameSource.FrameDescription.Width, Sensor.ColorFrameSource.FrameDescription.Height ), _OutputImage, BitmapToDisplay.BackBufferStride, 0 ); } ); } ); } } This seemed to yield a results I wanted, but there was still the occasional stutter. This lead to what I realized was the second problem. There is a race condition between the UI Thread and me locking the WriteableBitmap so I can write the next frame. Again, I'm writing approximately 8MB to the back buffer. Then, I started thinking I could cheat. The Kinect is running at 30 frames per second. The WPF UI Thread runs at 60 frames per second. This made me not feel bad about exploiting the Composition Thread. I moved the bulk of the code from the FrameArrived handler into CompositionTarget.Rendering. Once I was in there, I polled from a frame, and rendered it if it existed. Since, in theory, I'm only killing the Composition Thread every other hit, I decided I was ok with this for cases where silky smooth video performance REALLY mattered. This ode looked like this: private byte ClipToByte( int p_ValueToClip ) { return Convert.ToByte( ( p_ValueToClip < byte.MinValue ) ? byte.MinValue : ( ( p_ValueToClip > byte.MaxValue ) ? byte.MaxValue : p_ValueToClip ) ); }   void CompositionTarget_Rendering( object sender, EventArgs e ) { using( ColorFrame _ColorFrame = FrameReader.AcquireLatestFrame() ) { if( null == _ColorFrame ) return;   byte[] _InputImage = new byte[_ColorFrame.FrameDescription.LengthInPixels * _ColorFrame.FrameDescription.BytesPerPixel]; byte[] _OutputImage = new byte[BitmapToDisplay.BackBufferStride * BitmapToDisplay.PixelHeight]; _ColorFrame.CopyRawFrameDataToArray( _InputImage );   ParallelOptions _ParallelOptions = new ParallelOptions(); _ParallelOptions.MaxDegreeOfParallelism = 4;   Parallel.For( 0, Sensor.ColorFrameSource.FrameDescription.LengthInPixels / 2, _ParallelOptions, ( _Index ) => { // See http://msdn.microsoft.com/en-us/library/windows/desktop/dd206750(v=vs.85).aspx int _Y0 = _InputImage[( _Index << 2 ) + 0] - 16; int _U = _InputImage[( _Index << 2 ) + 1] - 128; int _Y1 = _InputImage[( _Index << 2 ) + 2] - 16; int _V = _InputImage[( _Index << 2 ) + 3] - 128;   byte _R = ClipToByte( ( 298 * _Y0 + 409 * _V + 128 ) >> 8 ); byte _G = ClipToByte( ( 298 * _Y0 - 100 * _U - 208 * _V + 128 ) >> 8 ); byte _B = ClipToByte( ( 298 * _Y0 + 516 * _U + 128 ) >> 8 );   _OutputImage[( _Index << 3 ) + 0] = _B; _OutputImage[( _Index << 3 ) + 1] = _G; _OutputImage[( _Index << 3 ) + 2] = _R; _OutputImage[( _Index << 3 ) + 3] = 0xFF; // A   _R = ClipToByte( ( 298 * _Y1 + 409 * _V + 128 ) >> 8 ); _G = ClipToByte( ( 298 * _Y1 - 100 * _U - 208 * _V + 128 ) >> 8 ); _B = ClipToByte( ( 298 * _Y1 + 516 * _U + 128 ) >> 8 );   _OutputImage[( _Index << 3 ) + 4] = _B; _OutputImage[( _Index << 3 ) + 5] = _G; _OutputImage[( _Index << 3 ) + 6] = _R; _OutputImage[( _Index << 3 ) + 7] = 0xFF; } );   BitmapToDisplay.WritePixels( new Int32Rect( 0, 0, Sensor.ColorFrameSource.FrameDescription.Width, Sensor.ColorFrameSource.FrameDescription.Height ), _OutputImage, BitmapToDisplay.BackBufferStride, 0 ); } }

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  • What Apache/PHP configurations do you know and how good are they?

    - by FractalizeR
    Hello. I wanted to ask you about PHP/Apache configuration methods you know, their pros and cons. I will start myself: ---------------- PHP as Apache module---------------- Pros: good speed since you don't need to start exe every time especially in mpm-worker mode. You can also use various PHP accelerators in this mode like APC or eAccelerator. Cons: if you are running apache in mpm-worker mode, you may face stability issues because every glitch in any php script will lead to unstability to the whole thread pool of that apache process. Also in this mode all scripts are executed on behalf of apache user. This is bad for security. mpm-worker configuration requires PHP compiled in thread-safe mode. At least CentOS and RedHat default repositories doesn't have thread-safe PHP version so on these OSes you need to compile at least PHP yourself (there is a way to activate worker mpm on Apache). The use of thread-safe PHP binaries is considered experimental and unstable. Plus, many PHP extensions does not support thread-safe mode or were not well-tested in thread-safe mode. ---------------- PHP as CGI ---------------- This seems to be the slowest default configuration which seems to be a "con" itself ;) ---------------- PHP as CGI via mod_suphp ---------------- Pros: suphp allows you to execute php scipts on behalf of the script file owner. This way you can securely separate different sites on the same machine. Also, suphp allows to use different php.ini files per virtual host. Cons: PHP in CGI mode means less performance. In this mode you can't use php accelerators like APC because each time new process is spawned to handle script rendering the cache of previous process useless. BTW, do you know the way to apply some accelerator in this config? I heard something about using shm for php bytecode cache. Also, you cannot configure PHP via .htaccess files in this mode. You will need to install PECL htscanner for this if you need to set various per-script options via .htaccess (php_value / php_flag directives) ---------------- PHP as CGI via suexec ---------------- This configuration looks the same as with suphp, but I heard, that it's slower and less safe. Almost same pros and cons apply. ---------------- PHP as FastCGI ---------------- Pros: FastCGI standard allows single php process to handle several scripts before php process is killed. This way you gain performance since no need to spin up new php process for each script. You can also use PHP accelerators in this configuration (see cons section for comment). Also, FCGI almost like suphp also allows php processes to be executed on behalf of some user. mod_fcgid seems to have the most complete fcgi support and flexibility for apache. Cons: The use of php accelerator in fastcgi mode will lead to high memory consumption because each PHP process will have his own bytecode cache (unless there is some accelerator that can use shared memory for bytecode cache. Is there such?). FastCGI is also a little bit complex to configure. You need to create various configuration files and make some configuration modifications. It seems, that fastcgi is the most stable, secure, fast and flexible PHP configuration, however, a bit difficult to be configured. But, may be, I missed something? Comments are welcome!

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  • Wear and tear on server hard drive from filesystem polling by PHP script

    - by jackie
    So I'm working on a discussion platform, and various clients will visit http://host/thread.php, which will render the discussion thread to date in addition to a form to submit a new post. When a new post is submitted, I would like all of the other clients with browser windows open to have it appear in near-real-time. One of the constraints of my script is that it may not use a DBMS and it must stay in the filesystem. Additionally, I can't use any PECL/PEAR extensions like inotify or anything like that for IPC. The flow will look like this: Client A requests thread.php and the thread is so far empty, but nonetheless it opens a Server-Side Event at eventPusher.php. Client B does the same. Client A fills out a post in the form and and submits (POSTs) it to subHandler.php. ??? (subHandler stores the new submission into the main thread storefile which gets read from when a fresh, new client requests thread.php, in addition to somehow signalling to the continually-running eventPusher event-source that a new comment was posted and that it should echo the event-json to the client. How, exactly, it will send this signal I'm yet unsure of, but there are a few options that I've thought of -- this is the crux of the question, so see below for more clarification) eventPusher.php happily pushes the new event to the client and it shows up soon after it was originally submitted on all clients who have the page open's screens. Now for the #4 missing-link mystery-step, I see a few problems. I mean, either way, eventPusher is gonna be doing a while loop of some sort -- it's gonna be polling something, I think that much is clear. (If that's a bad assumption please do let me know.) Now, the simplest way would be subHandler gets invoked on the form submission, writes it to the main store in addition to newComments.xml, then exits without doing anything else. Then eventPusher checks in newComments.xml every X seconds (by the way, what would be a reasonable time interval here?) and if it finds something then it emits an event to the client. Now, my fear with this is that the server's hard drive will have to constantly start spinning up. Maybe this isn't the case, perhaps it would just get cached in RAM and the linux kernel would take care of this transparently such that filesystem access doesn't actually engage the device because the kernel knows that that particular file hasn't changed since last read. * idea #2: I have no idea how to go about this, but perhaps there is a variable scope that gets stored in general RAM on the system which can be read by any process. Like if we mega-exported a bash variable so that $new_post is normally false but it gets toggled to true by subHandler, and then back to flase once it's pushed to the client. I doubt there's such a variable scope in PHP directly, but I struggle with the concept of variable scope, I just can't seem to understand it no matter what I read on it. * idea #3: eventPusher queries ps in its whileloop for another instance of itself. If there's not another eventPusher active then it's highly unlikely that new comments will be getting submitted. It's okay if this only works =90% of the time, it doesn't need to be completely foolproof. * idea #4: eventPusher queries DMESG to see if that file's been written to recently. So to sum everything up, I need to have inter-php-script-communication in near-real-time that will work on a standard mod_php shared hosting setup without any elevated privileges, PHP addon modules, or other system adjustments that can't be done from the PHP script itself at runtime. With*out* spinning up the drive more than a few times. No SQL servers either. Apologies if my english isn't the best, I'm still trying to improve on it.

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  • SQL Server Licensing in a VMware vSphere Cluster

    - by Helvick
    If I have SQL Server 2008 instances running in virtual machines on a VMware vSphere cluster with vMotion\DRS enabled so that the VM's can (potentially) run on any one of the physical servers in the cluster what precisely are the license requirements? For example assume that I have 4 physical ESX Hosts with dual physical CPU's and 3 separate single vCPU Virtual Machines running SQL Server 2008 running in that cluster. How many SQL Standard Processor licenses would I need? Is it 3 (one per VM) or 12 (one per VM on each physical host) or something else? How many SQL Enterprise Processor licenses would I need? Is it 3 (one per VM) or 8 (one for each physical CPU in the cluster) or, again, something else? The range in the list prices for these options goes from $17k to $200k so getting it right is quite important. Bonus question: If I choose the Server+CAL licensing model do I need to buy multiple Server instance licenses for each of the ESX hosts (so 12 copies of the SQL Server Standard server license so that there are enough licenses on each host to run all VM's) or again can I just license the VM and what difference would using Enterprise per server licensing make? Edited to Add Having spent some time reading the SQL 2008 Licensing Guide (63 Pages! Includes Maps!*) I've come across this: • Under the Server/CAL model, you may run unlimited instances of SQL Server 2008 Enterprise within the server farm, and move those instances freely, as long as those instances are not running on more servers than the number of licenses assigned to the server farm. • Under the Per Processor model, you effectively count the greatest number of physical processors that may support running instances of SQL Server 2008 Enterprise at any one time across the server farm and assign that number of Processor licenses And earlier: ..For SQL Server, these rule changes apply to SQL Server 2008 Enterprise only. By my reading this means that for my 3 VM's I only need 3 SQL 2008 Enterprise Processor Licenses or one copy of Server Enterprise + CALs for the cluster. By implication it means that I have to license all processors if I choose SQL 2008 Standard Processor licensing or that I have to buy a copy of SQL Server 2008 Standard for each ESX host if I choose to use CALs. *There is a map to demonstrate that a Server Farm cannot extend across an area broader than 3 timezones unless it's in the European Free Trade Area, I wasn't expecting that when I started reading it.

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  • SQL Server Licensing in a VMware vSphere Cluster

    - by Helvick
    If I have SQL Server 2008 instances running in virtual machines on a VMware vSphere cluster with vMotion\DRS enabled so that the VM's can (potentially) run on any one of the physical servers in the cluster what precisely are the license requirements? For example assume that I have 4 physical ESX Hosts with dual physical CPU's and 3 separate single vCPU Virtual Machines running SQL Server 2008 running in that cluster. How many SQL Standard Processor licenses would I need? Is it 3 (one per VM) or 12 (one per VM on each physical host) or something else? How many SQL Enterprise Processor licenses would I need? Is it 3 (one per VM) or 8 (one for each physical CPU in the cluster) or, again, something else? The range in the list prices for these options goes from $17k to $200k so getting it right is quite important. Bonus question: If I choose the Server+CAL licensing model do I need to buy multiple Server instance licenses for each of the ESX hosts (so 12 copies of the SQL Server Standard server license so that there are enough licenses on each host to run all VM's) or again can I just license the VM and what difference would using Enterprise per server licensing make? Edited to Add Having spent some time reading the SQL 2008 Licensing Guide (63 Pages! Includes Maps!*) I've come across this: • Under the Server/CAL model, you may run unlimited instances of SQL Server 2008 Enterprise within the server farm, and move those instances freely, as long as those instances are not running on more servers than the number of licenses assigned to the server farm. • Under the Per Processor model, you effectively count the greatest number of physical processors that may support running instances of SQL Server 2008 Enterprise at any one time across the server farm and assign that number of Processor licenses And earlier: ..For SQL Server, these rule changes apply to SQL Server 2008 Enterprise only. By my reading this means that for my 3 VM's I only need 3 SQL 2008 Enterprise Processor Licenses or one copy of Server Enterprise + CALs for the cluster. By implication it means that I have to license all processors if I choose SQL 2008 Standard Processor licensing or that I have to buy a copy of SQL Server 2008 Standard for each ESX host if I choose to use CALs. *There is a map to demonstrate that a Server Farm cannot extend across an area broader than 3 timezones unless it's in the European Free Trade Area, I wasn't expecting that when I started reading it.

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  • code metrics for .net code

    - by user20358
    While the code metrics tool gives a pretty good analysis of the code being analyzed, I was wondering if there was any such benchmark on acceptable standards for the following as well: Maximum number of types per assembly Maximum number of such types that can be accessible Maximum number of parameters per method Acceptable RFC count Acceptable Afferent coupling count Acceptable Efferent coupling count Any other metrics to judge the quality of .Net code by? Thanks for your time.

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  • SQLAuthority News – SQL SERVER 2008 R2 Pricing

    - by pinaldave
    I was recently asked question about SQL Server 2008 pricing. I have bookmarked official site here which lists the pricing. Official site: What’s New in SQL Server 2008 R2 Editions Editions Per Processor PricingRetail Per Server Plus CAL PricingRetail Parallel Data Warehouse $57,498 Not offered via Server CAL Datacenter $57,498 Not offered via Server CAL Enterprise $28,749 $13,969 with 25 CALs Standard $7,499 $1,849 with 5 CALs However, I have [...]

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  • Making Money from your SQL Server Blog

    - by Bill Graziano
    My SQL Server blog reading list is around one hundred blogs.  Many people are writing great content and generating lots of page views.  I see some of them running Google AdSense and trying to make a little money off their traffic.  If you want to earn some some extra money from what you’ve written there are a couple of options.  And one new option that I’m announcing here. Background Internet advertising is sold based on a few different pricing schemes.  Flat Fee.  You offer either all your impressions (page views) or some percentage of your impressions in exchange for a flat monthly fee.  CPM or cost per thousand impressions.  If the quoted price is $2 CPM you’ll get $2 for every 1,000 times the ad is displayed.  While you might think the “M” means millions, the “M” in CPM is the roman numeral for 1,000. CPC or cost per click.  This is also called PPC or pay per click.  In this method you get paid based on how many clicks there are on the ad.  CPA or cost per action.  In this method you get paid based on an action that occurs on the advertisers site after they click on the ad.  This is typically some type of sign up form.  This is how most affiliate programs work. Darren Rowse at ProBlogger has been writing about blogging and making money off blogs for years.  He has a good introduction to making money on your blog in his “Making Money” section.  If you’re interested in learning more he has a post up titled How to Make More Money From Your Blog in the New Year that links to many of his best posts on the subject. Google AdSense This is the most common method for people earning money from their blogging.  It’s easy to setup and administer.  You tell AdSense what size ads you’d like to run and it gives you a little piece of JavaScript to put on your site.  AdSense quickly learns the topics you write about and displays ads that are appropriate for your site.  I typically see ads for hosting, SQL Server tools and developer tools running in AdSense slots.  AdSense pays on a CPC model.  If you translate that back to CPM pricing you’ll see rates from $0.50 to $1.00 CPM. Amazon While you might not make much money writing books it’s now possible to make even less helping Amazon sell them.  You can sign up for an Amazon affiliate program.  Each time you send Amazon a link and someone buys the book you get a cut of that sale.  This is the CPA model from above.  Amazon can help you build some pretty nice “stores”.  Here’s the SQL Server bookstore I built for SQLTeam.com.  If you’re just putting in a page with books like I’ve done on SQLTeam you should keep your expectations low.  If you’re writing book reviews of suggesting books on your blog it really does make sense to setup an Amazon affiliate link.  People are much more likely to buy a book based on a review from a trusted source.  I always try to buy through a referral link if there is one. Amazon pays about 4% of the price as a referral fee.  You also get credit for anything else they buy while on the site.  I recently had someone buy an iPod nano with their SQL Server book making me an extra $5.60 richer!  Estimating how much you can make is difficult though.  How much attention you draw to the links and book reviews can dramatically affect the earnings. Private Ad Sales This is the hardest but potentially most lucrative option.  You sell advertising directly to companies that want to sell things to your readers.  Typically this would be SQL Server tool vendors, hosting companies or anyone else that wants to make money off database administrators.  This is also the most difficult to do.  You’ll need the contacts at the companies and enough page views to make it worth their while.  You’ll also need software to track the page views and clicks, geo-target your ads and smooth out the impressions.  Your earnings are based on whatever you can negotiate with the companies. SQL Server Ad Network For the last couple of years I’ve run any extra ads that I sold on the SQLTeam Weblogs.  You can see an example of that on Mladen’s blog.  The ad in the upper right corner is one that I’m running for him.  (Note: Many of the ads I’m running are geo-targeted to only appear in English speaking countries.  You may see a different set of ads outside the US, Canada and the UK.  You can also see he has a couple of Google ads on his blog.)  When I run ads on his blog I split the advertising revenue with him.  They make a little and I make a little. I recently started to expand this and sell advertising specifically to run on SQL Server-related blogs.  I’m also starting to run ads on non-SQLTeam blogs.  The only way I can sell more advertising is to have more blogs to run it on.  And that’s where you come in. I’ve created a SQL Server advertising network.  I handle all the ad sales and provide the technology to serve the ads.  I handle collections and payments back to you.  You get paid at the end of each month regardless of when (or if) the advertiser actually pays.  All you need to do is add a small piece of JavaScript to your site to display the ads. If you’re writing about SQL Server and interested in earning a little money for your site I’d like to talk to you.  You can use the Contact Us page on SQLTeam.com to reach me.  Running advertising on your blog isn’t for everyone.  If you’re concerned about what advertisers might think about certain posts then you might not be a good fit.  For the most part this isn’t an issue.  You’ll also need to have a PayPal account to receive payments.  You probably won’t get rich doing this.  But you can earn extra cash on the side for doing what you would do anyway.  I do know that people have earned enough to buy themselves a nice laptop doing this. My initial target is blogs with more than 10,000 page views per month.  I expect to pay two to three times what Google pays.  If you have less than 10,000 page views per month but are still interested I’d still like to hear from you.  I may not be able to sign up smaller blogs right away but we’ll get the process started.  If you’re unsure about your traffic Google Analytics is a free tool that provides great reporting on traffic, popular posts and how people find your blog.  If you have any questions or are just curious drop me a line and I’ll try to answer your questions.

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  • Windows CE training in Italy

    - by Valter Minute
    Se volete approfondire le vostre conoscenze su Windows CE (anche relativamente alle novità introdotte con la versione R3), o desiderate acquisire le basi per cominciare a lavorare con questo sistema operativo, questa è un'occasione da non perdere. Dal 12 al 16 Aprile si terrà presso gli uffici di Fortech Embedded Labs di Saronno (VA) il corso "Building Solutions with Windows Embedded CE 6.0", tenuto dal sottoscritto. Per maggiori informazioni sui contenuti e i costi: http://www.fortechembeddedlabs.it/node/27

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  • Oracle anuncia resultados de Q3 FY10

    - by Paulo Folgado
    Oracle Reports GAAP EPS of $0.23, Non-GAAP EPS of $0.38New Software Licenses Up 13%, Applications New Licenses Up 21%Oracle Corporation today announced fiscal 2010 Q3 GAAP total revenues were up 17% to $6.4 billion, while non-GAAP total revenues were up 18% to $6.5 billion. Excluding the impact of Sun Microsystems, Inc., which Oracle acquired on January 26, 2010, GAAP total revenue grew 7%. GAAP new software license revenues were up 13% to $1.7 billion, and up 10% to $1.7 billion excluding Sun. GAAP software license updates and product support revenues were up 13% to $3.3 billion, while non-GAAP software license updates and product support revenues were up 12% to $3.3 billion. GAAP operating income was down 5% to $1.8 billion, and GAAP operating margin was 29%. Non-GAAP operating income was up 13% to $2.9 billion, and non-GAAP operating margin was 45%. GAAP net income was down 10% to $1.2 billion, while non-GAAP net income was up 9% to $1.9 billion. GAAP earnings per share were $0.23, down 11% compared to last year while non-GAAP earnings per share were up 9% to $0.38. GAAP operating cash flow on a trailing twelve-month basis was $8.2 billion. "Our solid top line growth, coupled with disciplined expense management, was key in generating $8.0 billion of free cash flow over the last twelve months," said Oracle CFO Jeff Epstein."The Sun integration is going even better than we expected," said Oracle President, Safra Catz. "We believe that Sun will make a significant contribution to our fourth quarter earnings per share as well as meet the profitability goals we set for next year.""Exadata is the fastest growing product in Oracle's history," said Oracle President, Charles Phillips. "Introduced a little over a year ago, the Exadata pipeline is now approaching $400 million with Q4 bookings forecast at nearly $100 million. This strengthens both sales growth and profitability in our Sun server and storage businesses.""Every quarter we grab huge chunks of market share from SAP," said Oracle CEO, Larry Ellison. "SAP's most recent quarter was the best quarter of their year, only down 15%, while Oracle's application sales were up 21%. But SAP is well ahead of us in the number of CEOs for this year, announcing their third and fourth, while we only had one."In addition, Oracle's Board of Directors declared a cash dividend of $0.05 per share of outstanding common stock to be paid to stockholders of record as of the close of business on April 14, 2010, with a payment date of May 5, 2010. Future declarations of quarterly dividends and the establishment of future record and payment dates are subject to the final determination of Oracle's Board of Directors.Q3 Earnings Conference Call and WebcastOracle will hold a conference call and web broadcast today to discuss these results at 2:00 p.m. Pacific. You may listen to the call by dialing (800) 214-0694 or (719) 955-1425, Passcode: 567035. To access the live Web broadcast of this event, please visit the Oracle Investor Relations Web site at http://www.oracle.com/investor.

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  • New DMV… not yet

    - by Michael Zilberstein
    Downloaded and installed new toy: And while reading BOL, stumbled upon new extremely useful DMV: sys.dm_exec_query_profiles . This DMV enables DBA to monitor query progress while it is being executed. Counters in the DMV are per operation per thread. So we’ll be able to monitor in real time which thread (even for parallel processing) processes which node in the plan. Or find heavy operations “post mortem”. We all know the uncomfortable feeling when some heavy query runs and the boss starts asking...(read more)

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  • IRP_MJ_WRITE latency up to 15 seconds

    - by racitup
    We have written an application that performs small (22kB) writes to multiple files at once (one thread performing asynchronous queued writes to multiple locations on behalf of other threads) on the same local volume (RAID1). 99.9% of the writes are low-latency but occasionally (maybe every minute or two) we get one or two huge latency writes (I have seen 10 seconds and above) without any real explanation. Platform: Win2003 Server with NTFS. Monitoring: Sysinternals Process Monitor (see link below) and our own application logging. We have tried multiple things to try and solve this that have been gleaned from a few websites, e.g.: Making the first part of file names unique to aid 8.3 name generation Writing files to multiple directories Changing Intel Disk Write Caching Windows File/Printer Sharing Minimize memory used Balance Maximize data throughput for file sharing Maximize data throughput for network applications System-Advanced-Performance-Advanced NtfsDisableLastAccessUpdate - use fsutil behavior set disablelastaccess 1 disable 8.3 name generation - use "fsutil behavior set disable8dot3 1" + restart Enable a large size file system cache Disable paging of the kernel code IO Page Lock Limit Turn Off (or On) the Indexing Service But nothing seems to make much difference. There's a whole host of things we haven't tried yet but we wondered if anyone had come across the same problem, a reason and a solution (programmatic or not)? We can reproduce the problem using IOMeter and a simple setup: Start IOMeter and remove all but the first worker thread in 'Topology' using the disconnect button. Select the Worker thread and put a cross in the box next to the disk you want to use in the Disk Targets tab and put '2000000' in Maximum Disk Size (NOTE: must have at least 1GB free space; sector size is 512 bytes) Next create a new access specification and add it to the worker thread: Transfer Request Size = 22kB 100% Sequential Percent of Access Spec = 100% Percent Read/Write = 100% Write Change Results Display Update Frequency to 5 seconds, Test Setup Run Time to 20 seconds and both 'Number of Workers to Spawn Automatically' settings to zero. Select the Worker Thread in the Topology panel and hit the Duplicate Worker button 59 times to create 60 threads with identical settings. Hit the 'Go' button (green flag) and monitor the Results tab. The 'Maximum I/O Response Time (ms)' always hits at least 3500 on our machine. Our machine isn't exactly slow (Xeon 8 core rack server with 4GB and onboard RAID). I'd be interested to see what other people get. We have a feeling it might be something to do with the NTFS filesystem (ours is currently 75% full of fragmented files) and we are going to try a few things around this principle. But it is also related to disk performance since we don't see it on a RAMDisk and it's not as severe on a RAID10 array. Any help is much appreciated. Richard Right-click and select 'Open Link in New Tab': ProcMon Result

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  • Multi-Threaded Application vs. Single Threaded Application

    Why would we use a multi threaded application vs. a single threaded application? First we must define multithreading. Multithreading is a feature of an operating system that allows programs to run subcomponents or threads in parallel. Typically most applications only need to use one thread because they do not perform time consuming tasks. The use of multiple threads allows an application to distribute long running tasks so that they can be executed in parallel. This gives the user the perceived appearance that the application is working faster due to the fact that while one thread is waiting on an IO process the remaining tasks can make use of the available CPU. The allows working threads to execute in tandem so that they can be competed sooner. Multithreading Benefits Improved responsiveness — Users usually report improved responsiveness compared to single thread applications. Faster applications — Multiple threads can lead to improved application performance. Prioritization — Threads can be assigned a priority which would allow higher priority tasks to take precedence over lower priority tasks. Single Threading Benefits Programming and debugging —These activities are easier compared to multithreaded applications due to the reduced complexity Less Overhead — Threads add overhead to an application When developing multi-threaded applications, the following must be considered. Deadlocks occur when two threads hold a monitor that the other one requires. In essence each task is blocking the other and both tasks are waiting for the other monitor to be released. This forces an application to hang or deadlock. Resource allocation is used to prevent deadlocks because the system determines if approving the resource request will render the system in an unsafe state. An unsafe state could result in a deadlock. The system only approves requests that will lead to safe states. Thread Synchronization is used when multiple threads use the same instance of an object. The threads accessing the object can then be locked and then synchronized so that each task can interact with the static object on at a time.

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  • How to internally rewrite a page when requested from specific HTTP_HOST

    - by Andy
    Hi all, I have a Drupal site, site.com, and our client has a campaign that they're promoting for which they've bought a new domain name, campaign.com. I'd like it so that a request for campaign.com internally rewrites to a particular page of the Drupal site. Note Drupal uses an .htaccess file in the document root. The normal Drupal rewrite is # Rewrite URLs of the form 'x' to the form 'index.php?q=x'. RewriteCond %{REQUEST_FILENAME} !-f RewriteCond %{REQUEST_FILENAME} !-d RewriteCond %{REQUEST_URI} !=/favicon.ico RewriteRule ^(.*)$ index.php?q=$1 [L,QSA] I added the following before the normal rewrite. # Custom URLS (eg. microsites) go here RewriteCond %{HTTP_HOST} =campaign.com RewriteCond %{REQUEST_URI} =/ RewriteRule ^ index.php?q=node/22 [L] Unfortunately it doesn't work, it just shows the homepage. Turning on the rewrite log I get this. 1. [rid#2da8ea8/initial] (3) [perdir D:/wamp/www/] strip per-dir prefix: D:/wamp/www/ - 2. [rid#2da8ea8/initial] (3) [perdir D:/wamp/www/] applying pattern '^' to uri '' 3. [rid#2da8ea8/initial] (2) [perdir D:/wamp/www/] rewrite '' - 'index.php?q=node/22' 4. [rid#2da8ea8/initial] (3) split uri=index.php?q=node/22 - uri=index.php, args=q=node/22 5. [rid#2da8ea8/initial] (3) [perdir D:/wamp/www/] add per-dir prefix: index.php - D:/wamp/www/index.php 6. [rid#2da8ea8/initial] (2) [perdir D:/wamp/www/] strip document_root prefix: D:/wamp/www/index.php - /index.php 7. [rid#2da8ea8/initial] (1) [perdir D:/wamp/www/] internal redirect with /index.php [INTERNAL REDIRECT] 8. [rid#2da7770/initial/redir#1] (3) [perdir D:/wamp/www/] strip per-dir prefix: D:/wamp/www/index.php - index.php 9. [rid#2da7770/initial/redir#1] (3) [perdir D:/wamp/www/] applying pattern '^' to uri 'index.php' 10.[rid#2da7770/initial/redir#1] (3) [perdir D:/wamp/www/] strip per-dir prefix: D:/wamp/www/index.php - index.php 11.[rid#2da7770/initial/redir#1] (3) [perdir D:/wamp/www/] applying pattern '^(.*)$' to uri 'index.php' 12.[rid#2da7770/initial/redir#1] (1) [perdir D:/wamp/www/] pass through D:/wamp/www/index.php I'm not used to mod_rewrite, so I might be missing something, but comparing the logs from a call to http://site.com/node/3 and from http://campaign.com/ I can't see any meaningful difference. Specifically uri and args on line 4 seem correct, the internal redirect on line 7 seems right, and the pass through on line 12 seems right (because the file index.php exists). But for some reason it seems the query string's been discarded/ignored around the time of the internal redirect. I'm completely stumped. Also, if anyone could provide a reference on understanding the rewrite log, that might help. It'd be great if there's a way to track the query string through the internal redirect. FWIW I'm using WampServer 2.1 with Apache 2.2.17.

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  • JRockit Virtual Edition Debug Key

    - by changjae.lee
    There are a few keys that can help the debugging of the JRVE env in console. you can type in each keys in JRVE console to see what's happening under the hood. key '0' : System information key '5' : Enable shutdown key '7' : Start JRockit Management Server (port 7091) key '8' : Statistics Counters key '9' : Full Thread Dump key '0' : Status of Debug-key Below is the sample out from each keys. Debug-key '1' pressed ============ JRockitVE System Information ============ JRockitVE version : 11.1.1.3.0-67-131044 Kernel version : 6.1.0.0-97-131024 JVM version : R27.6.6-28_o-125824-1.6.0_17-20091214-2104-linux-ia32 Hypervisor version : Xen 3.4.0 Boot state : 0x007effff Uptime : 0 days 02:04:31 CPU : uniprocessor @2327 Mhz CPU usage : 0% ctx/s: 285 preempt/s: 0 migrations/s: 0 Physical pages : 82379/261121 (321/1020 MB) Network info : 10.179.97.64 (10.179.97.64/255.255.254.0) GateWay : 10.179.96.1 MAC address : 00:16:3e:7e:dc:78 Boot options : vfsCwd : /application/user_projects/domains/wlsve_domain mainArgs : java -javaagent:/jrockitve/services/sshd/sshd.jar -cp /jrockitve/jrockit/lib/tools.jar:/jrockitve/lib/common.jar:/application/patch_wls1032/profiles/default/sys_manifest_classpath/weblogic_patch.jar:/application/wlserver_10.3/server/lib/weblogic.jar -Dweblogic.Name=WlsveAdmin -Dweblogic.Domain=wlsve_domain -Dweblogic.management.username=weblogic -Dweblogic.management.password=welcome1 -Dweblogic.management.GenerateDefaultConfig=true weblogic.Server consLog : /jrockitve/log/jrockitve.log mounts : ext2 / dev0; posixLocale : en_US posixTimezone : Asia/Seoul posixEncoding : ISO-8859-1 Local disk : Size: 1024M, Used: 728M, Free: 295M ======================================================== Debug-key '5' pressed Shutdown enabled. Debug-key '7' pressed [JRockit] Management server already started. Ignoring request. Debug-key '8' pressed Starting stat recording Debug-key '8' pressed ========= Statistics Counters for the last second ========= dev.eth0_rx.cnt : 22 packets dev.eth0_rx_bytes.cnt : 2704 bytes dev.net_interrupts.cnt : 22 interrupts evt.timer_ticks.cnt : 123 ticks hyper.priv_entries.cnt : 144 entries schedule.context_switches.cnt : 271 switches schedule.idle_cpu_time.cnt : 997318849 nanoseconds schedule.idle_cpu_time_0.cnt : 997318849 nanoseconds schedule.total_cpu_time.cnt : 1000031757 nanoseconds time.system_time.cnt : 1000 ns time.timer_updates.cnt : 123 updates time.wallclock_time.cnt : 1000 ns ======================================= Debug-key '9' pressed ===== FULL THREAD DUMP =============== Fri Jun 4 08:22:12 2010 BEA JRockit(R) R27.6.6-28_o-125824-1.6.0_17-20091214-2104-linux-ia32 "Main Thread" id=1 idx=0x4 tid=1 prio=5 alive, in native, waiting -- Waiting for notification on: weblogic/t3/srvr/T3Srvr@0x646ede8[fat lock] at jrockit/vm/Threads.waitForNotifySignal(JLjava/lang/Object;)Z(Native Method) at java/lang/Object.wait(J)V(Native Method) at java/lang/Object.wait(Object.java:485) at weblogic/t3/srvr/T3Srvr.waitForDeath(T3Srvr.java:919) ^-- Lock released while waiting: weblogic/t3/srvr/T3Srvr@0x646ede8[fat lock] at weblogic/t3/srvr/T3Srvr.run(T3Srvr.java:479) at weblogic/Server.main(Server.java:67) at jrockit/vm/RNI.c2java(IIIII)V(Native Method) -- end of trace "(Signal Handler)" id=2 idx=0x8 tid=2 prio=5 alive, in native, daemon Open lock chains ================ Chain 1: "ExecuteThread: '0' for queue: 'weblogic.socket.Muxer'" id=23 idx=0x50 tid=20 waiting for java/lang/String@0x630c588 held by: "ExecuteThread: '1' for queue: 'weblogic.socket.Muxer'" id=24 idx=0x54 tid=21 (active) ===== END OF THREAD DUMP =============== Debug-key '0' pressed Debug-keys enabled Happy Cloud Walking :)

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  • Inverted schedctl usage in the JVM

    - by Dave
    The schedctl facility in Solaris allows a thread to request that the kernel defer involuntary preemption for a brief period. The mechanism is strictly advisory - the kernel can opt to ignore the request. Schedctl is typically used to bracket lock critical sections. That, in turn, can avoid convoying -- threads piling up on a critical section behind a preempted lock-holder -- and other lock-related performance pathologies. If you're interested see the man pages for schedctl_start() and schedctl_stop() and the schedctl.h include file. The implementation is very efficient. schedctl_start(), which asks that preemption be deferred, simply stores into a thread-specific structure -- the schedctl block -- that the kernel maps into user-space. Similarly, schedctl_stop() clears the flag set by schedctl_stop() and then checks a "preemption pending" flag in the block. Normally, this will be false, but if set schedctl_stop() will yield to politely grant the CPU to other threads. Note that you can't abuse this facility for long-term preemption avoidance as the deferral is brief. If your thread exceeds the grace period the kernel will preempt it and transiently degrade its effective scheduling priority. Further reading : US05937187 and various papers by Andy Tucker. We'll now switch topics to the implementation of the "synchronized" locking construct in the HotSpot JVM. If a lock is contended then on multiprocessor systems we'll spin briefly to try to avoid context switching. Context switching is wasted work and inflicts various cache and TLB penalties on the threads involved. If context switching were "free" then we'd never spin to avoid switching, but that's not the case. We use an adaptive spin-then-park strategy. One potentially undesirable outcome is that we can be preempted while spinning. When our spinning thread is finally rescheduled the lock may or may not be available. If not, we'll spin and then potentially park (block) again, thus suffering a 2nd context switch. Recall that the reason we spin is to avoid context switching. To avoid this scenario I've found it useful to enable schedctl to request deferral while spinning. But while spinning I've arranged for the code to periodically check or poll the "preemption pending" flag. If that's found set we simply abandon our spinning attempt and park immediately. This avoids the double context-switch scenario above. One annoyance is that the schedctl blocks for the threads in a given process are tightly packed on special pages mapped from kernel space into user-land. As such, writes to the schedctl blocks can cause false sharing on other adjacent blocks. Hopefully the kernel folks will make changes to avoid this by padding and aligning the blocks to ensure that one cache line underlies at most one schedctl block at any one time.

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  • Voxel Face Crawling (Mesh simplification, possibly using greedy)

    - by Tim Winter
    This is in regards to a Minecraft-like terrain engine. I store blocks in chunks (16x256x16 blocks in a chunk). When I generate a chunk, I use multiple procedural techniques to set the terrain and to place objects. While generating, I keep one 1D array for the full chunk (solid or not) and a separate 1D array of solid blocks. After generation, I iterate through the solid blocks checking their neighbors so I only generate block faces that don't have solid neighbors. I store which faces to generate in their own list (that's 6 lists, one per possible face). When rendering a chunk, I render all lists in the camera's current chunk and only the lists facing the camera in all other chunks. Using a 2D atlas with this little shader trick Andrew Russell suggested, I want to merge similar faces together completely. That is, if they are in the same list (same normal), are adjacent to each other, have the same light level, etc. My assumption would be to have each of the 6 lists sorted by the axis they rest on, then by the other two axes (the list for the top of a block would be sorted by it's Y value, then X, then Z). With this alone, I could quite easily merge strips of faces, but I'm looking to merge more than just strips together when possible. I've read up on this greedy meshing algorithm, but I am having a lot of trouble understanding it. To even use it, I would think I'd need to perform a type of flood-fill per sorted list to get the groups of merge-able faces. Then, per group, perform the greedy algorithm. It all sounds awfully expensive if I would ever want dynamic terrain/lighting after initial generation. So, my question: To perform merging of faces as described (ignoring whether it's a bad idea for dynamic terrain/lighting), is there perhaps an algorithm that is simpler to implement? I would also quite happily accept an answer that walks me through the greedy algorithm in a much simpler way (a link or explanation). I don't mind a slight performance decrease if it's easier to implement or even if it's only a little better than just doing strips. I worry that most algorithms focus on triangles rather than quads and using a 2D atlas the way I am, I don't know that I could implement something triangle based with my current skills. PS: I already frustum cull per chunk and as described, I also cull faces between solid blocks. I don't occlusion cull yet and may never.

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  • Intel Xeon E5 (Sandy Bridge-EP) and SQL Server 2012 Benchmarks

    - by jchang
    Intel officially announced the Xeon E5 2600 series processor based on Sandy Bridge-EP variant with upto 8 cores and 20MB LLC per socket. Only one TPC benchmark accompanied product launch, summary below. Processors Cores per Frequency Memory SQL Vendor TPC-E 2 x Xeon E5-2690 8 2.9GHz 512GB (16x32GB) 2012 IBM 1,863.23 2 x Xeon E7-2870 10 2.4GHz 512GB (32x16GB) 2008R2 IBM 1,560.70 2 x Xeon X5690 6 3.46GHz 192GB (12x16GB) 2008R2 HP 1,284.14 Note: the HP report lists SQL Server 2008 R2 Enterprise Edition...(read more)

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