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  • jQuery AJAX call working in IE but not FF?

    - by Uma Maheshwar
    $.ajax({ type: "GET", url: 'http://services.somewhere.com/MethodName', data: { 'param1':'something', 'param2': 'somethingElse' }, cache: false, dataType: 'jsonp', contentType: "application/json; charset=utf-8", success: function(view) { alert('success'); }, error: function(xhr, ajaxOptions, thrownError) { alert(xhr.status); alert(xhr.responseText); alert(xhr.statusText); } });

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  • Fetching data from the other sites and displaying into our page.?

    - by user622688
    Is ther any way to get data from other sites and display in our jsp pages dynamically. http://www.dictionary30.com/meaning/Misty see this url in that one block is like Wikipedia Meaning and Definition on 'Misty' In that block they are fetching the data from Wikipedia and displaying into dictionaly30. Question: How they are fetching wiki data to their site.? I need to display data like that in my jsp page by fetching from other site.

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  • showing get variables after calling setTemplate()

    - by user334017
    I have a showSuccess page that requires some get variables, and on that page is a form. When the form submits to executeCreate() and there is an error, it calls the function setTemplate('show') and returns back to showSuccess. However, the get variables are missing. How do I keep the url the same?

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  • I get an error in FF (NS_ERROR_MALFORMED_URI)

    - by Ingalls
    Just wondering if there is an easy fix for this problem. The full error is: Error: uncaught exception: [Exception... "Component returned failure code: 0x804b000a (NS_ERROR_MALFORMED_URI) [nsIURL.spec]" nsresult: "0x804b000a (NS_ERROR_MALFORMED_URI)" location: "JS frame :: chrome://fastdial/content/file.js :: anonymous :: line 218" data: no] And line 218 is nsiUrl.spec = url; I give you all of the code from the file if you need it... Thanks Ingalls

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  • need help on php require

    - by user225269
    What do I need to put in a php code so that the user cannot access it even if he specified the correct url for the page they are trying to access. And redirect it to the logon page. I'm really having difficulty in this matter, everytime I click back button on the browser the user can still access the page

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  • localhost remove HTML extension

    - by Cusa John
    I've been trying to clean up my urls with htaccess but I can't seen to get it to work on my localhost. My website url: localhost/index.html This is the default htaccess file that's in my www folder. #------------------------------------------------------------------------------ # To allow execution of cgi scripts in this directory uncomment next two lines. #------------------------------------------------------------------------------ AddType application/x-httpd-php .html .htm .php AddHandler cgi-script .pl .cgi Options +ExecCGI +FollowSymLinks

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  • What is Loglevel debug?

    - by Webnet
    My error.log file for my site says Request exceeded the limit of 10 internal redirects due to probable configuration error. Use 'LimitInternalRecursion' to increase the limit if necessary. Use 'LogLevel debug' to get a backtrace., referer: http://URL/TO/REFERER My question is, what is LogLevel? I've googled it but it seems like I'm just getting things about java. Our site is in PHP.

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  • drupal: [title] token... not filtered !?!

    - by Patrick
    hi, I'm using path auto module to automatically stores images in the projects subfolder. I'm using the [title] token and I had a unpleasent surprise: the title "abc / dce", creates 2 folders. I was not expecting this because in the pattern descrition, [title] is clearly distinguished by [title-raw]. [title] Node title [title-raw] Unfiltered node title. WARNING - raw user input. So, how can I fix this issue, I would like to use the title I have in the url "abc-dce" thanks

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  • HTML actual page link

    - by lore3d
    Hi all, I'm building a website, and i need to know the actual page address in which the user is in, in order to take users in the same page after login. The problem is that every page is generated from variables passed by url and query string, so I dont't know how to recover every variable and assign to it the correct value. How to recover variables name and assign them the correct values? Thanks lore (sorry for my English)

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  • Pass data to another page

    - by user2331416
    I am trying to pass some data from one page to another page by using jquery but it dose not working, below is the code which I want to click the text in source page and the destination page will hide the current text. Source page: <html> <head> <script type="text/javascript" src="http://ajax.googleapis.com/ajax/libs/jquery/1.8.3/jquery.min.js"></script> <script type="text/javascript"> $(function () { $("a.pass").bind("click", function () { var url = "Destination.html?name=" + encodeURIComponent($("a.pass").text()); window.location.href = url; }); }); </script> </head> <body> <a class="pass">a</a><br /> <a class="pass">b</a><br /> <a class="pass">c</a><br /> <a class="pass">d</a> </body> </html> Destination page: <html> <head> <script type="text/javascript" src="http://ajax.googleapis.com/ajax/libs/jquery/1.8.3/jquery.min.js"></script> <script type="text/javascript"> var queryString = new Array(); $(function () { if (queryString.length == 0) { if (window.location.search.split('?').length > 1) { var params = window.location.search.split('?')[1].split('&'); for (var i = 0; i < params.length; i++) { var key = params[i].split('=')[0]; var value = decodeURIComponent(params[i].split('=')[1]); queryString[key] = value; } } } if (queryString["name"] != null) { var data = queryString["name"] $("p.+'data'").hide(); } }); </script> </head> <body> <p class="a">a</p> <p class="b">b</p> <p class="c">c</p> <p class="d">d</p> </body> </html> Please Help.

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  • red5 actionscript

    - by massi
    Hi all, How to get a parameter encode in the url ? for exemple, if we have an html file containning : how to get the value of a from application.java class ? Thanks

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  • explorer.exe opens slowly [closed]

    - by d9k
    explorer.exe opens veeeery slow when I press [Win+R] key or type "explorer ." in command prompt etc. But it opens with normal speed when I just click on the shortcut to any folder. When I click on the URL in IM like ICQ, already openned browser (firefox) takes too long to process link too. I have this problem for some months and I'm very tired of this. OS: WinXP SP3.

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  • Webcast Q&A: Los Angeles Department of Building & Safety Lowers Customer Service Costs with Oracle WebCenter

    - by Kellsey Ruppel
    This week we had the fifth webcast in our WebCenter in Action webcast series, "Los Angeles Department of Building & Safety Lowers Customer Service Costs with Oracle WebCenter", where customers Giovani Dacumos and Minh Ong from the Los Angeles Department of Building & Safety (LADBS), and Sheetal Paranjpye and Rajiv Desai from Oracle Partner 3Di, shared how Oracle WebCenter is powering LADBS' externally facing website and providing a superior self-service experience for their customers. We asked the speakers to provide some dialogue for Q&A.   Giovani Dacumos, Director of Systems and Minh Ong, LADBS Q: Did you run into any issues when integrating all of the different applications together?A: Yes. We did have issues integrating a secure sign on between the portal and other legacy applications. We used portlets and iframes to overcome those.  This is a new technology for us and we are also learning as we go so there were a lot of challenges in developing and implementing our vision. Q: What has been the biggest benefit your end users have seen?A: The biggest benefit for our ends users is ease-of-use. We've given them a system that provided a new and improved source of information, as well as a very organized flow of transaction processing. It has made our online service very user friendly. Q: Was there any resistance internally when implementing the solution? If so, how did you overcome that?A: There was no internal resistance during the implementation, only challenges. As mentioned earlier, this is a new technology for us. We've come across issues that needed assistance from Oracle. Working with 3Di and Oracle has helped us tremendously to find solutions to our implementation issues. Q: Given the performance, what do you estimate to be the top end capacity of the system? A: With the current performance and architecture we have, we are able to support approx 300-400 concurrent users.  We would need more hardware to support additional user load. Q: What's the overview or summary of feedback from the users interacting with the site?A: LADBS has a wide spectrum of customers, from simple users like homeowners to large construction firms. Anything new that we offer could be a little bit challenging for some, but overall, the customers liked it. They saw a huge improvement on the usability. Q: Can you describe the impressions about the site before and after the project within LADBS?A: The old site was using old technology and it was hard for us to keep on building into it as we got more business requirements. It made our application seem a bit complicated.  It was confusing for our new customers to use and we've improved on this with the new site. It's now easier for them to complete their transactions and, at the same time, allowed us to provide more useful information. Sheetal Paranjpye and Rajiv Desai, 3Di Q: Did you run into any obstacles when implementing the solution?A: Yes we did run into some obstacles. One of the key show stoppers was the issue with portlet to portal communication. The GIS viewer (portlet) needed information to be passed  to and from Permit LA (Portal), but we were able to get everything configured and up and working quickly! Q: Was there a lot of custom work that needed to be done for this particular solution?A: We have done some customizations where workflows/ Task flows are involved.  Q: What do you think were the keys to success for rolling out WebCenter?A: Having a service oriented architecture and using portlets have been the key areas for rolling out Oracle WebCenter at LADBS. The Oracle WebCenter Content integration allows the flexibility to business users to maintain the content, which has really cut down on the reliance of IT, and employee productivity has increased as a result. If you missed the webcast, be sure to catch the replay to see a live demonstration of WebCenter in action! Los Angeles Department of Building & Safety Lowers Customer Service Costs with Oracle WebCenter from Oracle WebCenter

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  • Building Visual Studio Setup Projects with TFS 2010 Team Build

    - by Jakob Ehn
    One of the most common complaints from people starting to use Team Build is that is doesn’t support building Microsoft’s own Setup and Deployment project (*.vdproj). When creating a default build definition that compiles a solution containing a setup project, you’ll get the following warning: The project file "MyProject.vdproj" is not supported by MSBuild and cannot be built.   This is what the problem is all about. MSBuild, that is used for compiling your projects, does not understand the proprietary vdproj format defined by Microsoft quite some time ago. Unfortunately there is no sign that this will change in the near future, in fact the setup projects has barely changed at all since they were introduced. VS 2010 brings no new features or improvements hen it comes to the setup projects. VS 2010 does include a limited version of InstallShield which promises to be more MSBuild friendly and with more or less the same features as VS setup projects. I hope to get a closer look at this installer project type soon. But, how do we go about to build a Visual Studio setup project and produce an MSI as part of a Team Build process? Well, since only one application known to man understands the vdproj projects, we will have to installa copy of Visual Studio on the build server. Sad but true. After doing this, we use the Visual Studio command line interface (devenv) to perform the build. In this post I will show how to do this by using the InvokeProcess activity directly in a build workflow template. You’ll want to run build your setup projects after you have successfully compiled the projects.   Install Visual Studio 2010 on the build server(s)   Open your build process template /remember to branch or copy the xaml file before modifying it!)   Locate the Try to Compile the Project activity   Drop an instance of the InvokeProcess activity from the toolbox onto the designer, after the Run MSBuild for Project activity   Drop an instance of the WriteBuildMessage activity inside the Handle Standard Output section. Set the Importance property to Microsoft.TeamFoundation.Build.Client.BuildMessageImportance.High (NB: This is necessary if you want the output from devenv to show up in the build log when running the build with the default verbosity) Set the Message property to stdOutput   Drop an instance of the WriteBuildError activity to the Handle Error Output section Set the Message property to errOutput   Select the InvokeProcess activity and set the values of the parameters to:     The finished workflow should look like this:     This will generate the MSI files, but they won’t be copied to the drop location. This is because we are using devenv and not MSBuild, so we have to do this explicitly   Drop a Sequence activity somewhere after the Copy to Drop location activity.   Create a variable in the Sequence activity of type IEnumerable<String> and call it GeneratedInstallers   Drop a FindMatchingFiles activity in the sequence activity and set the properties to:     Drop a ForEach<String> activity after the FindMatchingFiles activity. Set the Value property to GeneratedInstallers   Drop an InvokeProcess activity inside the ForEach activity.  FileName: “xcopy.exe” Arguments: String.Format("""{0}"" ""{1}""", item, BuildDetail.DropLocation) The Sequence activity should look like this:     Save the build process template and check it in.   Run the build and verify that the MSI’s is built and copied to the drop location.   Note 1: One of the drawback of using devenv like this in a team build is that since all the output from the default compilations is placed in the Binaries folder, the outputs is not avaialable when devenv is invoked, which causes the whole solution to rebuild again. In TFS 2008, this was pretty simple to fix by using the CustomizableOutDir property. In TFS 2010, the same feature is not avaialble. Jim Lamb blogged about this recently, have a look at it if you have a problem with this: http://blogs.msdn.com/jimlamb/archive/2010/04/13/customizableoutdir-in-tfs-2010.aspx   Note 2: Although the above solution works, a better approach is to wrap this in a custom activity that you can use in your builds. I will come back to this in a future post.

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  • Ubuntu Control Center Makes Using Ubuntu Easier

    - by Vivek
    Users who are new to Ubuntu might find it somewhat difficult to configure. Today we take a look at using Ubuntu Control Center which makes managing different aspects of the system easier. About Ubuntu Control Center A lot of utilities and software has been written to work with Ubuntu. Ubuntu Control Center is one such cool utility which makes it easy for configuring Ubuntu. The following is a brief description of Ubuntu Control Center: Ubuntu Control Center or UCC is an application inspired by Mandriva Control Center and aims to centralize and organize in a simple and intuitive form the main configuration tools for Ubuntu distribution. UCC uses all the native applications already bundled with Ubuntu, but it also utilize some third-party apps like “Hardinfo”, “Boot-up Manager”, “GuFW” and “Font-Manager”. Ubuntu Control Center Here we look at installation and use of Ubuntu Control Center in Ubuntu 10.04. First we have to satisfy some dependencies. You will need to install Font-Manager and jstest-gtk (link below)…before installing Ubuntu Control Center (UCC). Click the Install Package button. You’ll be prompted to enter in your admin password for each installation package. Installation is successful…close out of the screen. Download and install Font-Manager…again you’ll need to enter in your password to complete installation.   Once you have installed the two dependencies, you are all set to install Ubuntu Control Center (link below), double click the downloaded Ubuntu Control Center deb file to install it. Once installed you can find it under Applications \ System Tools \ UCC. Once you launch it you can start managing your system, software, hardware, and more.   You can easily control various aspects of your Ubuntu System using Ubuntu Control Center. Here we look at configuring the firewall under Network and Internet.     UCC allows easy access for configuring several aspects of your system. Once you install UCC you’ll see how easy it is to configure your Ubuntu system through an intuitive clean graphical interface. If you’re new to Ubuntu, using UCC can help you in setting up your system how you like in a user friendly way. Home Page of UCC http://code.google.com/p/ucc/ Links Download Font-Manager ManagerDownload jstest-gtkUbuntu Control Center (UCC) Similar Articles Productive Geek Tips Adding extra Repositories on UbuntuAllow Remote Control To Your Desktop On UbuntuAssign a Hotkey to Open a Terminal Window in UbuntuInstall VMware Tools on Ubuntu Edgy EftInstall Monodevelop on Ubuntu Linux TouchFreeze Alternative in AutoHotkey The Icy Undertow Desktop Windows Home Server – Backup to LAN The Clear & Clean Desktop Use This Bookmarklet to Easily Get Albums Use AutoHotkey to Assign a Hotkey to a Specific Window Latest Software Reviews Tinyhacker Random Tips Xobni Plus for Outlook All My Movies 5.9 CloudBerry Online Backup 1.5 for Windows Home Server Snagit 10 How to Forecast Weather, without Gadgets Outlook Tools, one stop tweaking for any Outlook version Zoofs, find the most popular tweeted YouTube videos Video preview of new Windows Live Essentials 21 Cursor Packs for XP, Vista & 7 Map the Stars with Stellarium

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  • TestDriven.Net 3.0 – All Systems Go

    - by Jamie Cansdale
    I’m pleased to announce that TestDriven.Net 3.0 is now available. Finally! I know many of you will already be using the Beta and RC versions, but if you look at the release notes you’ll see there’s been many refinements since then, so I highly recommend you install the RTM version. Here is a quick summary of a few new features: Visual Studio 2010 supports targeting multiple versions of the .NET framework (multi-targeting). This means you can easily upgrade your Visual Studio 2005/2008 solutions without necessarily converting them to use .NET 4.0. TestDriven.Net will execute your tests using the .NET version your test project is targeting (see ‘Properties > Application > Target framework’). There is now first class support for MSTest when using Visual Studio 2008 & 2010. Previous versions of TestDriven.Net had support for a limited number of MSTest attributes. This version supports virtually all MSTest unit testing related attributes, including support for deployment item and data driven test attributes. You should also find this test runner is quick. ;) There is a new ‘Go To Test/Code’ command on the code context menu. You can think of this as Ctrl-Tab for test driven developers; it will quickly flip back and forth between your tests and code under test. I recommend assigning a keyboard shortcut to the ‘TestDriven.NET.GoToTestOrCode’ command. NCover can now be used for code coverage on .NET 4.0. This is only officially supported since NCover 3.2 (your mileage may vary if you’re using the 1.5.8 version). Rather than clutter the ‘Output’ window, ignored or skipped tests will be placed on the ‘Task List’. You can double-click on these items to navigate to the offending test (or assign a keyboard shortcut to ‘View.NextTask’). If you’re using a Team, Premium or Ultimate edition of Visual Studio 2005-2010, a new ‘Test With > Performance’ command will be available. This command will perform instrumented performance profiling on your target code. A particular focus of this version has been to make it more keyboard friendly. Here’s a list of commands you will probably want to assign keyboard shortcuts to: Name Default What I use TestDriven.NET.RunTests Run tests in context   Alt + T TestDriven.NET.RerunTests Repeat test run   Alt + R TestDriven.NET.GoToTestOrCode Flip between tests and code   Alt + G TestDriven.NET.Debugger Run tests with debugger   Alt + D View.Output Show the ‘Output’ window Ctrl+ Alt + O   Edit.BreakLine Edit code in stack trace Enter   View.NextError Jump to next failed test Ctrl + Shift + F12   View.NextTask Jump to next skipped test   Alt + S   By default the ‘Output’ window will automatically activate when there is test output or a failed test (this is an option). The cursor will be positioned on the stack trace of the last failed test, ready for you to hit ‘Enter’ to jump to the fail point or ‘Esc’ to return to your source (assuming your ‘Output’ window is set to auto-hide).  If your ‘Output’ window isn’t set to auto-hide, you’ll need to hit ‘Ctrl + Alt + O’ then ‘Enter’. Alternatively you can use ‘Ctrl + Shift + F12’ (View.NextError) to navigate between all failed tests.   For more frequent updates or to give feedback, you can find me on twitter here. I hope you enjoy this version. Let me know how you get on. :)

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  • Upload File to Windows Azure Blob in Chunks through ASP.NET MVC, JavaScript and HTML5

    - by Shaun
    Originally posted on: http://geekswithblogs.net/shaunxu/archive/2013/07/01/upload-file-to-windows-azure-blob-in-chunks-through-asp.net.aspxMany people are using Windows Azure Blob Storage to store their data in the cloud. Blob storage provides 99.9% availability with easy-to-use API through .NET SDK and HTTP REST. For example, we can store JavaScript files, images, documents in blob storage when we are building an ASP.NET web application on a Web Role in Windows Azure. Or we can store our VHD files in blob and mount it as a hard drive in our cloud service. If you are familiar with Windows Azure, you should know that there are two kinds of blob: page blob and block blob. The page blob is optimized for random read and write, which is very useful when you need to store VHD files. The block blob is optimized for sequential/chunk read and write, which has more common usage. Since we can upload block blob in blocks through BlockBlob.PutBlock, and them commit them as a whole blob with invoking the BlockBlob.PutBlockList, it is very powerful to upload large files, as we can upload blocks in parallel, and provide pause-resume feature. There are many documents, articles and blog posts described on how to upload a block blob. Most of them are focus on the server side, which means when you had received a big file, stream or binaries, how to upload them into blob storage in blocks through .NET SDK.  But the problem is, how can we upload these large files from client side, for example, a browser. This questioned to me when I was working with a Chinese customer to help them build a network disk production on top of azure. The end users upload their files from the web portal, and then the files will be stored in blob storage from the Web Role. My goal is to find the best way to transform the file from client (end user’s machine) to the server (Web Role) through browser. In this post I will demonstrate and describe what I had done, to upload large file in chunks with high speed, and save them as blocks into Windows Azure Blob Storage.   Traditional Upload, Works with Limitation The simplest way to implement this requirement is to create a web page with a form that contains a file input element and a submit button. 1: @using (Html.BeginForm("About", "Index", FormMethod.Post, new { enctype = "multipart/form-data" })) 2: { 3: <input type="file" name="file" /> 4: <input type="submit" value="upload" /> 5: } And then in the backend controller, we retrieve the whole content of this file and upload it in to the blob storage through .NET SDK. We can split the file in blocks and upload them in parallel and commit. The code had been well blogged in the community. 1: [HttpPost] 2: public ActionResult About(HttpPostedFileBase file) 3: { 4: var container = _client.GetContainerReference("test"); 5: container.CreateIfNotExists(); 6: var blob = container.GetBlockBlobReference(file.FileName); 7: var blockDataList = new Dictionary<string, byte[]>(); 8: using (var stream = file.InputStream) 9: { 10: var blockSizeInKB = 1024; 11: var offset = 0; 12: var index = 0; 13: while (offset < stream.Length) 14: { 15: var readLength = Math.Min(1024 * blockSizeInKB, (int)stream.Length - offset); 16: var blockData = new byte[readLength]; 17: offset += stream.Read(blockData, 0, readLength); 18: blockDataList.Add(Convert.ToBase64String(BitConverter.GetBytes(index)), blockData); 19:  20: index++; 21: } 22: } 23:  24: Parallel.ForEach(blockDataList, (bi) => 25: { 26: blob.PutBlock(bi.Key, new MemoryStream(bi.Value), null); 27: }); 28: blob.PutBlockList(blockDataList.Select(b => b.Key).ToArray()); 29:  30: return RedirectToAction("About"); 31: } This works perfect if we selected an image, a music or a small video to upload. But if I selected a large file, let’s say a 6GB HD-movie, after upload for about few minutes the page will be shown as below and the upload will be terminated. In ASP.NET there is a limitation of request length and the maximized request length is defined in the web.config file. It’s a number which less than about 4GB. So if we want to upload a really big file, we cannot simply implement in this way. Also, in Windows Azure, a cloud service network load balancer will terminate the connection if exceed the timeout period. From my test the timeout looks like 2 - 3 minutes. Hence, when we need to upload a large file we cannot just use the basic HTML elements. Besides the limitation mentioned above, the simple HTML file upload cannot provide rich upload experience such as chunk upload, pause and pause-resume. So we need to find a better way to upload large file from the client to the server.   Upload in Chunks through HTML5 and JavaScript In order to break those limitation mentioned above we will try to upload the large file in chunks. This takes some benefit to us such as - No request size limitation: Since we upload in chunks, we can define the request size for each chunks regardless how big the entire file is. - No timeout problem: The size of chunks are controlled by us, which means we should be able to make sure request for each chunk upload will not exceed the timeout period of both ASP.NET and Windows Azure load balancer. It was a big challenge to upload big file in chunks until we have HTML5. There are some new features and improvements introduced in HTML5 and we will use them to implement our solution.   In HTML5, the File interface had been improved with a new method called “slice”. It can be used to read part of the file by specifying the start byte index and the end byte index. For example if the entire file was 1024 bytes, file.slice(512, 768) will read the part of this file from the 512nd byte to 768th byte, and return a new object of interface called "Blob”, which you can treat as an array of bytes. In fact,  a Blob object represents a file-like object of immutable, raw data. The File interface is based on Blob, inheriting blob functionality and expanding it to support files on the user's system. For more information about the Blob please refer here. File and Blob is very useful to implement the chunk upload. We will use File interface to represent the file the user selected from the browser and then use File.slice to read the file in chunks in the size we wanted. For example, if we wanted to upload a 10MB file with 512KB chunks, then we can read it in 512KB blobs by using File.slice in a loop.   Assuming we have a web page as below. User can select a file, an input box to specify the block size in KB and a button to start upload. 1: <div> 2: <input type="file" id="upload_files" name="files[]" /><br /> 3: Block Size: <input type="number" id="block_size" value="512" name="block_size" />KB<br /> 4: <input type="button" id="upload_button_blob" name="upload" value="upload (blob)" /> 5: </div> Then we can have the JavaScript function to upload the file in chunks when user clicked the button. 1: <script type="text/javascript"> 1: 2: $(function () { 3: $("#upload_button_blob").click(function () { 4: }); 5: });</script> Firstly we need to ensure the client browser supports the interfaces we are going to use. Just try to invoke the File, Blob and FormData from the “window” object. If any of them is “undefined” the condition result will be “false” which means your browser doesn’t support these premium feature and it’s time for you to get your browser updated. FormData is another new feature we are going to use in the future. It could generate a temporary form for us. We will use this interface to create a form with chunk and associated metadata when invoked the service through ajax. 1: $("#upload_button_blob").click(function () { 2: // assert the browser support html5 3: if (window.File && window.Blob && window.FormData) { 4: alert("Your brwoser is awesome, let's rock!"); 5: } 6: else { 7: alert("Oh man plz update to a modern browser before try is cool stuff out."); 8: return; 9: } 10: }); Each browser supports these interfaces by their own implementation and currently the Blob, File and File.slice are supported by Chrome 21, FireFox 13, IE 10, Opera 12 and Safari 5.1 or higher. After that we worked on the files the user selected one by one since in HTML5, user can select multiple files in one file input box. 1: var files = $("#upload_files")[0].files; 2: for (var i = 0; i < files.length; i++) { 3: var file = files[i]; 4: var fileSize = file.size; 5: var fileName = file.name; 6: } Next, we calculated the start index and end index for each chunks based on the size the user specified from the browser. We put them into an array with the file name and the index, which will be used when we upload chunks into Windows Azure Blob Storage as blocks since we need to specify the target blob name and the block index. At the same time we will store the list of all indexes into another variant which will be used to commit blocks into blob in Azure Storage once all chunks had been uploaded successfully. 1: $("#upload_button_blob").click(function () { 2: // assert the browser support html5 3: ... ... 4: // start to upload each files in chunks 5: var files = $("#upload_files")[0].files; 6: for (var i = 0; i < files.length; i++) { 7: var file = files[i]; 8: var fileSize = file.size; 9: var fileName = file.name; 10:  11: // calculate the start and end byte index for each blocks(chunks) 12: // with the index, file name and index list for future using 13: var blockSizeInKB = $("#block_size").val(); 14: var blockSize = blockSizeInKB * 1024; 15: var blocks = []; 16: var offset = 0; 17: var index = 0; 18: var list = ""; 19: while (offset < fileSize) { 20: var start = offset; 21: var end = Math.min(offset + blockSize, fileSize); 22:  23: blocks.push({ 24: name: fileName, 25: index: index, 26: start: start, 27: end: end 28: }); 29: list += index + ","; 30:  31: offset = end; 32: index++; 33: } 34: } 35: }); Now we have all chunks’ information ready. The next step should be upload them one by one to the server side, and at the server side when received a chunk it will upload as a block into Blob Storage, and finally commit them with the index list through BlockBlobClient.PutBlockList. But since all these invokes are ajax calling, which means not synchronized call. So we need to introduce a new JavaScript library to help us coordinate the asynchronize operation, which named “async.js”. You can download this JavaScript library here, and you can find the document here. I will not explain this library too much in this post. We will put all procedures we want to execute as a function array, and pass into the proper function defined in async.js to let it help us to control the execution sequence, in series or in parallel. Hence we will define an array and put the function for chunk upload into this array. 1: $("#upload_button_blob").click(function () { 2: // assert the browser support html5 3: ... ... 4:  5: // start to upload each files in chunks 6: var files = $("#upload_files")[0].files; 7: for (var i = 0; i < files.length; i++) { 8: var file = files[i]; 9: var fileSize = file.size; 10: var fileName = file.name; 11: // calculate the start and end byte index for each blocks(chunks) 12: // with the index, file name and index list for future using 13: ... ... 14:  15: // define the function array and push all chunk upload operation into this array 16: blocks.forEach(function (block) { 17: putBlocks.push(function (callback) { 18: }); 19: }); 20: } 21: }); 22: }); As you can see, I used File.slice method to read each chunks based on the start and end byte index we calculated previously, and constructed a temporary HTML form with the file name, chunk index and chunk data through another new feature in HTML5 named FormData. Then post this form to the backend server through jQuery.ajax. This is the key part of our solution. 1: $("#upload_button_blob").click(function () { 2: // assert the browser support html5 3: ... ... 4: // start to upload each files in chunks 5: var files = $("#upload_files")[0].files; 6: for (var i = 0; i < files.length; i++) { 7: var file = files[i]; 8: var fileSize = file.size; 9: var fileName = file.name; 10: // calculate the start and end byte index for each blocks(chunks) 11: // with the index, file name and index list for future using 12: ... ... 13: // define the function array and push all chunk upload operation into this array 14: blocks.forEach(function (block) { 15: putBlocks.push(function (callback) { 16: // load blob based on the start and end index for each chunks 17: var blob = file.slice(block.start, block.end); 18: // put the file name, index and blob into a temporary from 19: var fd = new FormData(); 20: fd.append("name", block.name); 21: fd.append("index", block.index); 22: fd.append("file", blob); 23: // post the form to backend service (asp.net mvc controller action) 24: $.ajax({ 25: url: "/Home/UploadInFormData", 26: data: fd, 27: processData: false, 28: contentType: "multipart/form-data", 29: type: "POST", 30: success: function (result) { 31: if (!result.success) { 32: alert(result.error); 33: } 34: callback(null, block.index); 35: } 36: }); 37: }); 38: }); 39: } 40: }); Then we will invoke these functions one by one by using the async.js. And once all functions had been executed successfully I invoked another ajax call to the backend service to commit all these chunks (blocks) as the blob in Windows Azure Storage. 1: $("#upload_button_blob").click(function () { 2: // assert the browser support html5 3: ... ... 4: // start to upload each files in chunks 5: var files = $("#upload_files")[0].files; 6: for (var i = 0; i < files.length; i++) { 7: var file = files[i]; 8: var fileSize = file.size; 9: var fileName = file.name; 10: // calculate the start and end byte index for each blocks(chunks) 11: // with the index, file name and index list for future using 12: ... ... 13: // define the function array and push all chunk upload operation into this array 14: ... ... 15: // invoke the functions one by one 16: // then invoke the commit ajax call to put blocks into blob in azure storage 17: async.series(putBlocks, function (error, result) { 18: var data = { 19: name: fileName, 20: list: list 21: }; 22: $.post("/Home/Commit", data, function (result) { 23: if (!result.success) { 24: alert(result.error); 25: } 26: else { 27: alert("done!"); 28: } 29: }); 30: }); 31: } 32: }); That’s all in the client side. The outline of our logic would be - Calculate the start and end byte index for each chunks based on the block size. - Defined the functions of reading the chunk form file and upload the content to the backend service through ajax. - Execute the functions defined in previous step with “async.js”. - Commit the chunks by invoking the backend service in Windows Azure Storage finally.   Save Chunks as Blocks into Blob Storage In above we finished the client size JavaScript code. It uploaded the file in chunks to the backend service which we are going to implement in this step. We will use ASP.NET MVC as our backend service, and it will receive the chunks, upload into Windows Azure Bob Storage in blocks, then finally commit as one blob. As in the client side we uploaded chunks by invoking the ajax call to the URL "/Home/UploadInFormData", I created a new action under the Index controller and it only accepts HTTP POST request. 1: [HttpPost] 2: public JsonResult UploadInFormData() 3: { 4: var error = string.Empty; 5: try 6: { 7: } 8: catch (Exception e) 9: { 10: error = e.ToString(); 11: } 12:  13: return new JsonResult() 14: { 15: Data = new 16: { 17: success = string.IsNullOrWhiteSpace(error), 18: error = error 19: } 20: }; 21: } Then I retrieved the file name, index and the chunk content from the Request.Form object, which was passed from our client side. And then, used the Windows Azure SDK to create a blob container (in this case we will use the container named “test”.) and create a blob reference with the blob name (same as the file name). Then uploaded the chunk as a block of this blob with the index, since in Blob Storage each block must have an index (ID) associated with so that finally we can put all blocks as one blob by specifying their block ID list. 1: [HttpPost] 2: public JsonResult UploadInFormData() 3: { 4: var error = string.Empty; 5: try 6: { 7: var name = Request.Form["name"]; 8: var index = int.Parse(Request.Form["index"]); 9: var file = Request.Files[0]; 10: var id = Convert.ToBase64String(BitConverter.GetBytes(index)); 11:  12: var container = _client.GetContainerReference("test"); 13: container.CreateIfNotExists(); 14: var blob = container.GetBlockBlobReference(name); 15: blob.PutBlock(id, file.InputStream, null); 16: } 17: catch (Exception e) 18: { 19: error = e.ToString(); 20: } 21:  22: return new JsonResult() 23: { 24: Data = new 25: { 26: success = string.IsNullOrWhiteSpace(error), 27: error = error 28: } 29: }; 30: } Next, I created another action to commit the blocks into blob once all chunks had been uploaded. Similarly, I retrieved the blob name from the Request.Form. I also retrieved the chunks ID list, which is the block ID list from the Request.Form in a string format, split them as a list, then invoked the BlockBlob.PutBlockList method. After that our blob will be shown in the container and ready to be download. 1: [HttpPost] 2: public JsonResult Commit() 3: { 4: var error = string.Empty; 5: try 6: { 7: var name = Request.Form["name"]; 8: var list = Request.Form["list"]; 9: var ids = list 10: .Split(',') 11: .Where(id => !string.IsNullOrWhiteSpace(id)) 12: .Select(id => Convert.ToBase64String(BitConverter.GetBytes(int.Parse(id)))) 13: .ToArray(); 14:  15: var container = _client.GetContainerReference("test"); 16: container.CreateIfNotExists(); 17: var blob = container.GetBlockBlobReference(name); 18: blob.PutBlockList(ids); 19: } 20: catch (Exception e) 21: { 22: error = e.ToString(); 23: } 24:  25: return new JsonResult() 26: { 27: Data = new 28: { 29: success = string.IsNullOrWhiteSpace(error), 30: error = error 31: } 32: }; 33: } Now we finished all code we need. The whole process of uploading would be like this below. Below is the full client side JavaScript code. 1: <script type="text/javascript" src="~/Scripts/async.js"></script> 2: <script type="text/javascript"> 3: $(function () { 4: $("#upload_button_blob").click(function () { 5: // assert the browser support html5 6: if (window.File && window.Blob && window.FormData) { 7: alert("Your brwoser is awesome, let's rock!"); 8: } 9: else { 10: alert("Oh man plz update to a modern browser before try is cool stuff out."); 11: return; 12: } 13:  14: // start to upload each files in chunks 15: var files = $("#upload_files")[0].files; 16: for (var i = 0; i < files.length; i++) { 17: var file = files[i]; 18: var fileSize = file.size; 19: var fileName = file.name; 20:  21: // calculate the start and end byte index for each blocks(chunks) 22: // with the index, file name and index list for future using 23: var blockSizeInKB = $("#block_size").val(); 24: var blockSize = blockSizeInKB * 1024; 25: var blocks = []; 26: var offset = 0; 27: var index = 0; 28: var list = ""; 29: while (offset < fileSize) { 30: var start = offset; 31: var end = Math.min(offset + blockSize, fileSize); 32:  33: blocks.push({ 34: name: fileName, 35: index: index, 36: start: start, 37: end: end 38: }); 39: list += index + ","; 40:  41: offset = end; 42: index++; 43: } 44:  45: // define the function array and push all chunk upload operation into this array 46: var putBlocks = []; 47: blocks.forEach(function (block) { 48: putBlocks.push(function (callback) { 49: // load blob based on the start and end index for each chunks 50: var blob = file.slice(block.start, block.end); 51: // put the file name, index and blob into a temporary from 52: var fd = new FormData(); 53: fd.append("name", block.name); 54: fd.append("index", block.index); 55: fd.append("file", blob); 56: // post the form to backend service (asp.net mvc controller action) 57: $.ajax({ 58: url: "/Home/UploadInFormData", 59: data: fd, 60: processData: false, 61: contentType: "multipart/form-data", 62: type: "POST", 63: success: function (result) { 64: if (!result.success) { 65: alert(result.error); 66: } 67: callback(null, block.index); 68: } 69: }); 70: }); 71: }); 72:  73: // invoke the functions one by one 74: // then invoke the commit ajax call to put blocks into blob in azure storage 75: async.series(putBlocks, function (error, result) { 76: var data = { 77: name: fileName, 78: list: list 79: }; 80: $.post("/Home/Commit", data, function (result) { 81: if (!result.success) { 82: alert(result.error); 83: } 84: else { 85: alert("done!"); 86: } 87: }); 88: }); 89: } 90: }); 91: }); 92: </script> And below is the full ASP.NET MVC controller code. 1: public class HomeController : Controller 2: { 3: private CloudStorageAccount _account; 4: private CloudBlobClient _client; 5:  6: public HomeController() 7: : base() 8: { 9: _account = CloudStorageAccount.Parse(CloudConfigurationManager.GetSetting("DataConnectionString")); 10: _client = _account.CreateCloudBlobClient(); 11: } 12:  13: public ActionResult Index() 14: { 15: ViewBag.Message = "Modify this template to jump-start your ASP.NET MVC application."; 16:  17: return View(); 18: } 19:  20: [HttpPost] 21: public JsonResult UploadInFormData() 22: { 23: var error = string.Empty; 24: try 25: { 26: var name = Request.Form["name"]; 27: var index = int.Parse(Request.Form["index"]); 28: var file = Request.Files[0]; 29: var id = Convert.ToBase64String(BitConverter.GetBytes(index)); 30:  31: var container = _client.GetContainerReference("test"); 32: container.CreateIfNotExists(); 33: var blob = container.GetBlockBlobReference(name); 34: blob.PutBlock(id, file.InputStream, null); 35: } 36: catch (Exception e) 37: { 38: error = e.ToString(); 39: } 40:  41: return new JsonResult() 42: { 43: Data = new 44: { 45: success = string.IsNullOrWhiteSpace(error), 46: error = error 47: } 48: }; 49: } 50:  51: [HttpPost] 52: public JsonResult Commit() 53: { 54: var error = string.Empty; 55: try 56: { 57: var name = Request.Form["name"]; 58: var list = Request.Form["list"]; 59: var ids = list 60: .Split(',') 61: .Where(id => !string.IsNullOrWhiteSpace(id)) 62: .Select(id => Convert.ToBase64String(BitConverter.GetBytes(int.Parse(id)))) 63: .ToArray(); 64:  65: var container = _client.GetContainerReference("test"); 66: container.CreateIfNotExists(); 67: var blob = container.GetBlockBlobReference(name); 68: blob.PutBlockList(ids); 69: } 70: catch (Exception e) 71: { 72: error = e.ToString(); 73: } 74:  75: return new JsonResult() 76: { 77: Data = new 78: { 79: success = string.IsNullOrWhiteSpace(error), 80: error = error 81: } 82: }; 83: } 84: } And if we selected a file from the browser we will see our application will upload chunks in the size we specified to the server through ajax call in background, and then commit all chunks in one blob. Then we can find the blob in our Windows Azure Blob Storage.   Optimized by Parallel Upload In previous example we just uploaded our file in chunks. This solved the problem that ASP.NET MVC request content size limitation as well as the Windows Azure load balancer timeout. But it might introduce the performance problem since we uploaded chunks in sequence. In order to improve the upload performance we could modify our client side code a bit to make the upload operation invoked in parallel. The good news is that, “async.js” library provides the parallel execution function. If you remembered the code we invoke the service to upload chunks, it utilized “async.series” which means all functions will be executed in sequence. Now we will change this code to “async.parallel”. This will invoke all functions in parallel. 1: $("#upload_button_blob").click(function () { 2: // assert the browser support html5 3: ... ... 4: // start to upload each files in chunks 5: var files = $("#upload_files")[0].files; 6: for (var i = 0; i < files.length; i++) { 7: var file = files[i]; 8: var fileSize = file.size; 9: var fileName = file.name; 10: // calculate the start and end byte index for each blocks(chunks) 11: // with the index, file name and index list for future using 12: ... ... 13: // define the function array and push all chunk upload operation into this array 14: ... ... 15: // invoke the functions one by one 16: // then invoke the commit ajax call to put blocks into blob in azure storage 17: async.parallel(putBlocks, function (error, result) { 18: var data = { 19: name: fileName, 20: list: list 21: }; 22: $.post("/Home/Commit", data, function (result) { 23: if (!result.success) { 24: alert(result.error); 25: } 26: else { 27: alert("done!"); 28: } 29: }); 30: }); 31: } 32: }); In this way all chunks will be uploaded to the server side at the same time to maximize the bandwidth usage. This should work if the file was not very large and the chunk size was not very small. But for large file this might introduce another problem that too many ajax calls are sent to the server at the same time. So the best solution should be, upload the chunks in parallel with maximum concurrency limitation. The code below specified the concurrency limitation to 4, which means at the most only 4 ajax calls could be invoked at the same time. 1: $("#upload_button_blob").click(function () { 2: // assert the browser support html5 3: ... ... 4: // start to upload each files in chunks 5: var files = $("#upload_files")[0].files; 6: for (var i = 0; i < files.length; i++) { 7: var file = files[i]; 8: var fileSize = file.size; 9: var fileName = file.name; 10: // calculate the start and end byte index for each blocks(chunks) 11: // with the index, file name and index list for future using 12: ... ... 13: // define the function array and push all chunk upload operation into this array 14: ... ... 15: // invoke the functions one by one 16: // then invoke the commit ajax call to put blocks into blob in azure storage 17: async.parallelLimit(putBlocks, 4, function (error, result) { 18: var data = { 19: name: fileName, 20: list: list 21: }; 22: $.post("/Home/Commit", data, function (result) { 23: if (!result.success) { 24: alert(result.error); 25: } 26: else { 27: alert("done!"); 28: } 29: }); 30: }); 31: } 32: });   Summary In this post we discussed how to upload files in chunks to the backend service and then upload them into Windows Azure Blob Storage in blocks. We focused on the frontend side and leverage three new feature introduced in HTML 5 which are - File.slice: Read part of the file by specifying the start and end byte index. - Blob: File-like interface which contains the part of the file content. - FormData: Temporary form element that we can pass the chunk alone with some metadata to the backend service. Then we discussed the performance consideration of chunk uploading. Sequence upload cannot provide maximized upload speed, but the unlimited parallel upload might crash the browser and server if too many chunks. So we finally came up with the solution to upload chunks in parallel with the concurrency limitation. We also demonstrated how to utilize “async.js” JavaScript library to help us control the asynchronize call and the parallel limitation.   Regarding the chunk size and the parallel limitation value there is no “best” value. You need to test vary composition and find out the best one for your particular scenario. It depends on the local bandwidth, client machine cores and the server side (Windows Azure Cloud Service Virtual Machine) cores, memory and bandwidth. Below is one of my performance test result. The client machine was Windows 8 IE 10 with 4 cores. I was using Microsoft Cooperation Network. The web site was hosted on Windows Azure China North data center (in Beijing) with one small web role (1.7GB 1 core CPU, 1.75GB memory with 100Mbps bandwidth). The test cases were - Chunk size: 512KB, 1MB, 2MB, 4MB. - Upload Mode: Sequence, parallel (unlimited), parallel with limit (4 threads, 8 threads). - Chunk Format: base64 string, binaries. - Target file: 100MB. - Each case was tested 3 times. Below is the test result chart. Some thoughts, but not guidance or best practice: - Parallel gets better performance than series. - No significant performance improvement between parallel 4 threads and 8 threads. - Transform with binaries provides better performance than base64. - In all cases, chunk size in 1MB - 2MB gets better performance.   Hope this helps, Shaun All documents and related graphics, codes are provided "AS IS" without warranty of any kind. Copyright © Shaun Ziyan Xu. This work is licensed under the Creative Commons License.

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