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  • How to force asp.net MVC 2 to redirect to default controller/action

    - by Chris
    In a brand new ASP.NET MVC2 project, I want the user to be redirected to http://<mysite>/home/index rather than http://<mysite>/ We do this with our other sites for tracking purposes, to avoid the scenario where hits to the same default page show up as http://<mysite>/ http://<mysite>/default.aspx How do I accomplish this so that http://<mysite>/ automatically redirects to whatever default controller/action I have set up in my routing? Please note that I am aware the two are functionally equivalent, as the default controller action will be executed either way. I'm just interested in forcing consistent URLs in the browser.

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  • Problem Using Partial View In for each loop

    - by leen3o
    I'm a little confused here, I am trying use a partial view in a for each loop like so <% foreach (var item in (IEnumerable<MVCLD.Models.Article>)ViewData["LatestWebsites"]){%> <% Html.RenderPartial("articlelisttemaple", item); %> <% } %> And my partial view looks like this <div class="listingholders"> <h4><%=Html.ActionLink(item.ArticleTitle, "details", "article", new { UrlID = item.UrlID, ArticleName = item.ArticleTitle.ToString().niceurl() }, null)%> </h4> <p><%= Html.Encode(item.ArticleSnippet) %></p> <div class="clearer">&nbsp;</div> </div> But when I run the project I get told the partial view doesn't understand what item is?? CS0103: The name 'item' does not exist in the current context I can't see why it would be doing this as I'm passing item into the partial view?

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  • Having all Views in the Shared folder - works but is throwing "caught exceptions". Performance conc

    - by Scott
    Hi everyone, I have a simple but heavily used app done in VS2010/MVC2. I didn't like having separate folders for each view/controller and so have all the views in the Shared folder. It's working fine but while debugging in VS, I noticed that it's throwing IO "caught exceptions" since it seems to be looking in the [FolderName]/[ViewName] folder before going down to the Shared folder. Again, the app runs fine but I'm concerned that all these "caught exceptions" will have a minor performance impact since they do have a cost in via the CLR. Is there any way I can configure the Routing so that it will only look in the Shared folder? Thanks.

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  • An Introduction to ASP.NET MVC Extensibility

    Because ASP.NET MVC has been designed with extensibility as its design principle; almost every logical step of the processing pipeline can be replaced with your own implementation. In fact, the best way to develop applications with ASP.NET MVC is to extend the system, Simone starts a series that explains how to implement extensions to ASP.NET MVC, starting with the ones at the beginning of the pipeline (routing extensions) and finishing with the view extensions points.

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  • Learning to implement DIC in MVC

    - by Tom
    I am learning to apply DIC to MVC project. So, I have sketched this DDD-ish DIC-ready-ish layout to my best understanding. I have read many blogs articles wikis for the last few days. However, I am not confident about implementing it correctly. Could you please demonstrate to me how to put them into DIC the proper way? I prefer Ninject or Windsor after all the readings, but anyDIC will do as long as I can get the correct idea how to do it. Web controller... public class AccountBriefingController { //create private IAccountServices accountServices { get; set; } public AccountBriefingController(IAccountServices accsrv) accountServices = accsrv; } //do work public ActionResult AccountBriefing(string userid, int days) { //get days of transaction records for this user BriefingViewModel model = AccountServices.GetBriefing(userid, days); return View(model); } } View model ... public class BriefingViewModel { //from user repository public string UserId { get; set; } public string AccountNumber {get; set;} public string FirstName { get; set; } public string LastName { get; set; } //from account repository public string Credits { get; set; } public List<string> Transactions { get; set; } } Service layer ... public interface IAccountServices { BriefingViewModel GetBriefing(); } public class AccountServices { //create private IUserRepository userRepo {get; set;} private IAccountRepository accRepo {get; set;} public AccountServices(UserRepository ur, AccountRepository ar) { userRepo = ur; accRepo = ar; } //do work public BriefingViewModel GetBriefing(string userid, int days) { var model = new BriefingViewModel(); //<---is that okay to new a model here?? var user = userRepo.GetUser(userid); if(user != null) { model.UserId = userid; model.AccountNumber = user.AccountNumber; model.FirstName = user.FirstName; model.LastName = user.LastName; //account records model.Credits = accRepo.GetUserCredits(userid); model.Transactions = accRepo.GetUserTransactions(userid, days); } return model; } } Domain layer and data models... public interface IUserRepository { UserDataModel GetUser(userid); } public interface IAccountRepository { List<string> GetUserTransactions(userid, days); int GetUserCredits(userid); } // Entity Framework DBContext goes under here Please point out if my implementation is wrong, e.g.I can feel in AccountServices-GetBriefing - new BriefingViewModel() seems wrong to me, but I don't know how to fit the stud into DIC? Thank you very much for your help!

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  • How can I ajax load new pages/views into MainContent when using a master page

    - by antevirus
    Hello. Instead of using Html.ActionLink to load subpages into MainContent, I would like to load them with ajax. For example (taken from Site.Master): <%= Ajax.ActionLink("HOME", "Index", "Home", new AjaxOptions() { UpdateTargetId = "main" })% <%= Ajax.ActionLink("ABOUT ME", "Index", "About", new AjaxOptions() { UpdateTargetId = "main" })% <%= Ajax.ActionLink("VIEW MY WORK", "Index", "Work", new AjaxOptions() { UpdateTargetId = "main" })% <%= Ajax.ActionLink("SERVICES", "Index", "Services", new AjaxOptions() { UpdateTargetId = "main" })% <%= Ajax.ActionLink("CONTACT", "Index", "Contact", new AjaxOptions() { UpdateTargetId = "main" })% This works, but when i click one of the links it seems to load the master page all over again. http://emma.jabit.se Click a link and see what happens. Any ideas how to solve this?

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  • result set using two different views (from an if statement)

    - by mailman1979
    Hi All, I have a bit of code that works with a result set called "result" (original I know) but depending on the incoming variable I'd like to fire the specific query depending. I have the below in an if statement but that just makes the "result" recordset gets those nasty red lines and it doesn't work. I'm sure this is easy to work out. if (area == "dashboard") { IQueryable<ViewGetNavigationMainItem> result = (from m in _entities.ViewGetNavigationMainItems where m.area.Trim() == area.Trim() where m.state == "Online" where m.parentID == parentID orderby m.sequence ascending select m); } else { //Get the Content Items IQueryable<ViewGetNavigationContentItem> result = (from m in _entities.ViewGetNavigationContentItems where m.navID == navID where m.parentID == parentID orderby m.contentOrder ascending select m); } maxRecords = result.Count(); foreach (var item in result) { etc etc etc

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  • Using JSON.NET for dynamic JSON parsing

    - by Rick Strahl
    With the release of ASP.NET Web API as part of .NET 4.5 and MVC 4.0, JSON.NET has effectively pushed out the .NET native serializers to become the default serializer for Web API. JSON.NET is vastly more flexible than the built in DataContractJsonSerializer or the older JavaScript serializer. The DataContractSerializer in particular has been very problematic in the past because it can't deal with untyped objects for serialization - like values of type object, or anonymous types which are quite common these days. The JavaScript Serializer that came before it actually does support non-typed objects for serialization but it can't do anything with untyped data coming in from JavaScript and it's overall model of extensibility was pretty limited (JavaScript Serializer is what MVC uses for JSON responses). JSON.NET provides a robust JSON serializer that has both high level and low level components, supports binary JSON, JSON contracts, Xml to JSON conversion, LINQ to JSON and many, many more features than either of the built in serializers. ASP.NET Web API now uses JSON.NET as its default serializer and is now pulled in as a NuGet dependency into Web API projects, which is great. Dynamic JSON Parsing One of the features that I think is getting ever more important is the ability to serialize and deserialize arbitrary JSON content dynamically - that is without mapping the JSON captured directly into a .NET type as DataContractSerializer or the JavaScript Serializers do. Sometimes it isn't possible to map types due to the differences in languages (think collections, dictionaries etc), and other times you simply don't have the structures in place or don't want to create them to actually import the data. If this topic sounds familiar - you're right! I wrote about dynamic JSON parsing a few months back before JSON.NET was added to Web API and when Web API and the System.Net HttpClient libraries included the System.Json classes like JsonObject and JsonArray. With the inclusion of JSON.NET in Web API these classes are now obsolete and didn't ship with Web API or the client libraries. I re-linked my original post to this one. In this post I'll discus JToken, JObject and JArray which are the dynamic JSON objects that make it very easy to create and retrieve JSON content on the fly without underlying types. Why Dynamic JSON? So, why Dynamic JSON parsing rather than strongly typed parsing? Since applications are interacting more and more with third party services it becomes ever more important to have easy access to those services with easy JSON parsing. Sometimes it just makes lot of sense to pull just a small amount of data out of large JSON document received from a service, because the third party service isn't directly related to your application's logic most of the time - and it makes little sense to map the entire service structure in your application. For example, recently I worked with the Google Maps Places API to return information about businesses close to me (or rather the app's) location. The Google API returns a ton of information that my application had no interest in - all I needed was few values out of the data. Dynamic JSON parsing makes it possible to map this data, without having to map the entire API to a C# data structure. Instead I could pull out the three or four values I needed from the API and directly store it on my business entities that needed to receive the data - no need to map the entire Maps API structure. Getting JSON.NET The easiest way to use JSON.NET is to grab it via NuGet and add it as a reference to your project. You can add it to your project with: PM> Install-Package Newtonsoft.Json From the Package Manager Console or by using Manage NuGet Packages in your project References. As mentioned if you're using ASP.NET Web API or MVC 4 JSON.NET will be automatically added to your project. Alternately you can also go to the CodePlex site and download the latest version including source code: http://json.codeplex.com/ Creating JSON on the fly with JObject and JArray Let's start with creating some JSON on the fly. It's super easy to create a dynamic object structure with any of the JToken derived JSON.NET objects. The most common JToken derived classes you are likely to use are JObject and JArray. JToken implements IDynamicMetaProvider and so uses the dynamic  keyword extensively to make it intuitive to create object structures and turn them into JSON via dynamic object syntax. Here's an example of creating a music album structure with child songs using JObject for the base object and songs and JArray for the actual collection of songs:[TestMethod] public void JObjectOutputTest() { // strong typed instance var jsonObject = new JObject(); // you can explicitly add values here using class interface jsonObject.Add("Entered", DateTime.Now); // or cast to dynamic to dynamically add/read properties dynamic album = jsonObject; album.AlbumName = "Dirty Deeds Done Dirt Cheap"; album.Artist = "AC/DC"; album.YearReleased = 1976; album.Songs = new JArray() as dynamic; dynamic song = new JObject(); song.SongName = "Dirty Deeds Done Dirt Cheap"; song.SongLength = "4:11"; album.Songs.Add(song); song = new JObject(); song.SongName = "Love at First Feel"; song.SongLength = "3:10"; album.Songs.Add(song); Console.WriteLine(album.ToString()); } This produces a complete JSON structure: { "Entered": "2012-08-18T13:26:37.7137482-10:00", "AlbumName": "Dirty Deeds Done Dirt Cheap", "Artist": "AC/DC", "YearReleased": 1976, "Songs": [ { "SongName": "Dirty Deeds Done Dirt Cheap", "SongLength": "4:11" }, { "SongName": "Love at First Feel", "SongLength": "3:10" } ] } Notice that JSON.NET does a nice job formatting the JSON, so it's easy to read and paste into blog posts :-). JSON.NET includes a bunch of configuration options that control how JSON is generated. Typically the defaults are just fine, but you can override with the JsonSettings object for most operations. The important thing about this code is that there's no explicit type used for holding the values to serialize to JSON. Rather the JSON.NET objects are the containers that receive the data as I build up my JSON structure dynamically, simply by adding properties. This means this code can be entirely driven at runtime without compile time restraints of structure for the JSON output. Here I use JObject to create a album 'object' and immediately cast it to dynamic. JObject() is kind of similar in behavior to ExpandoObject in that it allows you to add properties by simply assigning to them. Internally, JObject values are stored in pseudo collections of key value pairs that are exposed as properties through the IDynamicMetaObject interface exposed in JSON.NET's JToken base class. For objects the syntax is very clean - you add simple typed values as properties. For objects and arrays you have to explicitly create new JObject or JArray, cast them to dynamic and then add properties and items to them. Always remember though these values are dynamic - which means no Intellisense and no compiler type checking. It's up to you to ensure that the names and values you create are accessed consistently and without typos in your code. Note that you can also access the JObject instance directly (not as dynamic) and get access to the underlying JObject type. This means you can assign properties by string, which can be useful for fully data driven JSON generation from other structures. Below you can see both styles of access next to each other:// strong type instance var jsonObject = new JObject(); // you can explicitly add values here jsonObject.Add("Entered", DateTime.Now); // expando style instance you can just 'use' properties dynamic album = jsonObject; album.AlbumName = "Dirty Deeds Done Dirt Cheap"; JContainer (the base class for JObject and JArray) is a collection so you can also iterate over the properties at runtime easily:foreach (var item in jsonObject) { Console.WriteLine(item.Key + " " + item.Value.ToString()); } The functionality of the JSON objects are very similar to .NET's ExpandObject and if you used it before, you're already familiar with how the dynamic interfaces to the JSON objects works. Importing JSON with JObject.Parse() and JArray.Parse() The JValue structure supports importing JSON via the Parse() and Load() methods which can read JSON data from a string or various streams respectively. Essentially JValue includes the core JSON parsing to turn a JSON string into a collection of JsonValue objects that can be then referenced using familiar dynamic object syntax. Here's a simple example:public void JValueParsingTest() { var jsonString = @"{""Name"":""Rick"",""Company"":""West Wind"", ""Entered"":""2012-03-16T00:03:33.245-10:00""}"; dynamic json = JValue.Parse(jsonString); // values require casting string name = json.Name; string company = json.Company; DateTime entered = json.Entered; Assert.AreEqual(name, "Rick"); Assert.AreEqual(company, "West Wind"); } The JSON string represents an object with three properties which is parsed into a JObject class and cast to dynamic. Once cast to dynamic I can then go ahead and access the object using familiar object syntax. Note that the actual values - json.Name, json.Company, json.Entered - are actually of type JToken and I have to cast them to their appropriate types first before I can do type comparisons as in the Asserts at the end of the test method. This is required because of the way that dynamic types work which can't determine the type based on the method signature of the Assert.AreEqual(object,object) method. I have to either assign the dynamic value to a variable as I did above, or explicitly cast ( (string) json.Name) in the actual method call. The JSON structure can be much more complex than this simple example. Here's another example of an array of albums serialized to JSON and then parsed through with JsonValue():[TestMethod] public void JsonArrayParsingTest() { var jsonString = @"[ { ""Id"": ""b3ec4e5c"", ""AlbumName"": ""Dirty Deeds Done Dirt Cheap"", ""Artist"": ""AC/DC"", ""YearReleased"": 1976, ""Entered"": ""2012-03-16T00:13:12.2810521-10:00"", ""AlbumImageUrl"": ""http://ecx.images-amazon.com/images/I/61kTaH-uZBL._AA115_.jpg"", ""AmazonUrl"": ""http://www.amazon.com/gp/product/…ASIN=B00008BXJ4"", ""Songs"": [ { ""AlbumId"": ""b3ec4e5c"", ""SongName"": ""Dirty Deeds Done Dirt Cheap"", ""SongLength"": ""4:11"" }, { ""AlbumId"": ""b3ec4e5c"", ""SongName"": ""Love at First Feel"", ""SongLength"": ""3:10"" }, { ""AlbumId"": ""b3ec4e5c"", ""SongName"": ""Big Balls"", ""SongLength"": ""2:38"" } ] }, { ""Id"": ""7b919432"", ""AlbumName"": ""End of the Silence"", ""Artist"": ""Henry Rollins Band"", ""YearReleased"": 1992, ""Entered"": ""2012-03-16T00:13:12.2800521-10:00"", ""AlbumImageUrl"": ""http://ecx.images-amazon.com/images/I/51FO3rb1tuL._SL160_AA160_.jpg"", ""AmazonUrl"": ""http://www.amazon.com/End-Silence-Rollins-Band/dp/B0000040OX/ref=sr_1_5?ie=UTF8&qid=1302232195&sr=8-5"", ""Songs"": [ { ""AlbumId"": ""7b919432"", ""SongName"": ""Low Self Opinion"", ""SongLength"": ""5:24"" }, { ""AlbumId"": ""7b919432"", ""SongName"": ""Grip"", ""SongLength"": ""4:51"" } ] } ]"; JArray jsonVal = JArray.Parse(jsonString) as JArray; dynamic albums = jsonVal; foreach (dynamic album in albums) { Console.WriteLine(album.AlbumName + " (" + album.YearReleased.ToString() + ")"); foreach (dynamic song in album.Songs) { Console.WriteLine("\t" + song.SongName); } } Console.WriteLine(albums[0].AlbumName); Console.WriteLine(albums[0].Songs[1].SongName); } JObject and JArray in ASP.NET Web API Of course these types also work in ASP.NET Web API controller methods. If you want you can accept parameters using these object or return them back to the server. The following contrived example receives dynamic JSON input, and then creates a new dynamic JSON object and returns it based on data from the first:[HttpPost] public JObject PostAlbumJObject(JObject jAlbum) { // dynamic input from inbound JSON dynamic album = jAlbum; // create a new JSON object to write out dynamic newAlbum = new JObject(); // Create properties on the new instance // with values from the first newAlbum.AlbumName = album.AlbumName + " New"; newAlbum.NewProperty = "something new"; newAlbum.Songs = new JArray(); foreach (dynamic song in album.Songs) { song.SongName = song.SongName + " New"; newAlbum.Songs.Add(song); } return newAlbum; } The raw POST request to the server looks something like this: POST http://localhost/aspnetwebapi/samples/PostAlbumJObject HTTP/1.1User-Agent: FiddlerContent-type: application/jsonHost: localhostContent-Length: 88 {AlbumName: "Dirty Deeds",Songs:[ { SongName: "Problem Child"},{ SongName: "Squealer"}]} and the output that comes back looks like this: {  "AlbumName": "Dirty Deeds New",  "NewProperty": "something new",  "Songs": [    {      "SongName": "Problem Child New"    },    {      "SongName": "Squealer New"    }  ]} The original values are echoed back with something extra appended to demonstrate that we're working with a new object. When you receive or return a JObject, JValue, JToken or JArray instance in a Web API method, Web API ignores normal content negotiation and assumes your content is going to be received and returned as JSON, so effectively the parameter and result type explicitly determines the input and output format which is nice. Dynamic to Strong Type Mapping You can also map JObject and JArray instances to a strongly typed object, so you can mix dynamic and static typing in the same piece of code. Using the 2 Album jsonString shown earlier, the code below takes an array of albums and picks out only a single album and casts that album to a static Album instance.[TestMethod] public void JsonParseToStrongTypeTest() { JArray albums = JArray.Parse(jsonString) as JArray; // pick out one album JObject jalbum = albums[0] as JObject; // Copy to a static Album instance Album album = jalbum.ToObject<Album>(); Assert.IsNotNull(album); Assert.AreEqual(album.AlbumName,jalbum.Value<string>("AlbumName")); Assert.IsTrue(album.Songs.Count > 0); } This is pretty damn useful for the scenario I mentioned earlier - you can read a large chunk of JSON and dynamically walk the property hierarchy down to the item you want to access, and then either access the specific item dynamically (as shown earlier) or map a part of the JSON to a strongly typed object. That's very powerful if you think about it - it leaves you in total control to decide what's dynamic and what's static. Strongly typed JSON Parsing With all this talk of dynamic let's not forget that JSON.NET of course also does strongly typed serialization which is drop dead easy. Here's a simple example on how to serialize and deserialize an object with JSON.NET:[TestMethod] public void StronglyTypedSerializationTest() { // Demonstrate deserialization from a raw string var album = new Album() { AlbumName = "Dirty Deeds Done Dirt Cheap", Artist = "AC/DC", Entered = DateTime.Now, YearReleased = 1976, Songs = new List<Song>() { new Song() { SongName = "Dirty Deeds Done Dirt Cheap", SongLength = "4:11" }, new Song() { SongName = "Love at First Feel", SongLength = "3:10" } } }; // serialize to string string json2 = JsonConvert.SerializeObject(album,Formatting.Indented); Console.WriteLine(json2); // make sure we can serialize back var album2 = JsonConvert.DeserializeObject<Album>(json2); Assert.IsNotNull(album2); Assert.IsTrue(album2.AlbumName == "Dirty Deeds Done Dirt Cheap"); Assert.IsTrue(album2.Songs.Count == 2); } JsonConvert is a high level static class that wraps lower level functionality, but you can also use the JsonSerializer class, which allows you to serialize/parse to and from streams. It's a little more work, but gives you a bit more control. The functionality available is easy to discover with Intellisense, and that's good because there's not a lot in the way of documentation that's actually useful. Summary JSON.NET is a pretty complete JSON implementation with lots of different choices for JSON parsing from dynamic parsing to static serialization, to complex querying of JSON objects using LINQ. It's good to see this open source library getting integrated into .NET, and pushing out the old and tired stock .NET parsers so that we finally have a bit more flexibility - and extensibility - in our JSON parsing. Good to go! Resources Sample Test Project http://json.codeplex.com/© Rick Strahl, West Wind Technologies, 2005-2012Posted in .NET  Web Api  AJAX   Tweet !function(d,s,id){var js,fjs=d.getElementsByTagName(s)[0];if(!d.getElementById(id)){js=d.createElement(s);js.id=id;js.src="//platform.twitter.com/widgets.js";fjs.parentNode.insertBefore(js,fjs);}}(document,"script","twitter-wjs"); (function() { var po = document.createElement('script'); po.type = 'text/javascript'; po.async = true; po.src = 'https://apis.google.com/js/plusone.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(po, s); })();

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  • Parallelism in .NET – Part 2, Simple Imperative Data Parallelism

    - by Reed
    In my discussion of Decomposition of the problem space, I mentioned that Data Decomposition is often the simplest abstraction to use when trying to parallelize a routine.  If a problem can be decomposed based off the data, we will often want to use what MSDN refers to as Data Parallelism as our strategy for implementing our routine.  The Task Parallel Library in .NET 4 makes implementing Data Parallelism, for most cases, very simple. Data Parallelism is the main technique we use to parallelize a routine which can be decomposed based off data.  Data Parallelism refers to taking a single collection of data, and having a single operation be performed concurrently on elements in the collection.  One side note here: Data Parallelism is also sometimes referred to as the Loop Parallelism Pattern or Loop-level Parallelism.  In general, for this series, I will try to use the terminology used in the MSDN Documentation for the Task Parallel Library.  This should make it easier to investigate these topics in more detail. Once we’ve determined we have a problem that, potentially, can be decomposed based on data, implementation using Data Parallelism in the TPL is quite simple.  Let’s take our example from the Data Decomposition discussion – a simple contrast stretching filter.  Here, we have a collection of data (pixels), and we need to run a simple operation on each element of the pixel.  Once we know the minimum and maximum values, we most likely would have some simple code like the following: for (int row=0; row < pixelData.GetUpperBound(0); ++row) { for (int col=0; col < pixelData.GetUpperBound(1); ++col) { pixelData[row, col] = AdjustContrast(pixelData[row, col], minPixel, maxPixel); } } .csharpcode, .csharpcode pre { font-size: small; color: black; font-family: consolas, "Courier New", courier, monospace; background-color: #ffffff; /*white-space: pre;*/ } .csharpcode pre { margin: 0em; } .csharpcode .rem { color: #008000; } .csharpcode .kwrd { color: #0000ff; } .csharpcode .str { color: #006080; } .csharpcode .op { color: #0000c0; } .csharpcode .preproc { color: #cc6633; } .csharpcode .asp { background-color: #ffff00; } .csharpcode .html { color: #800000; } .csharpcode .attr { color: #ff0000; } .csharpcode .alt { background-color: #f4f4f4; width: 100%; margin: 0em; } .csharpcode .lnum { color: #606060; } This simple routine loops through a two dimensional array of pixelData, and calls the AdjustContrast routine on each pixel. As I mentioned, when you’re decomposing a problem space, most iteration statements are potentially candidates for data decomposition.  Here, we’re using two for loops – one looping through rows in the image, and a second nested loop iterating through the columns.  We then perform one, independent operation on each element based on those loop positions. This is a prime candidate – we have no shared data, no dependencies on anything but the pixel which we want to change.  Since we’re using a for loop, we can easily parallelize this using the Parallel.For method in the TPL: Parallel.For(0, pixelData.GetUpperBound(0), row => { for (int col=0; col < pixelData.GetUpperBound(1); ++col) { pixelData[row, col] = AdjustContrast(pixelData[row, col], minPixel, maxPixel); } }); Here, by simply changing our first for loop to a call to Parallel.For, we can parallelize this portion of our routine.  Parallel.For works, as do many methods in the TPL, by creating a delegate and using it as an argument to a method.  In this case, our for loop iteration block becomes a delegate creating via a lambda expression.  This lets you write code that, superficially, looks similar to the familiar for loop, but functions quite differently at runtime. We could easily do this to our second for loop as well, but that may not be a good idea.  There is a balance to be struck when writing parallel code.  We want to have enough work items to keep all of our processors busy, but the more we partition our data, the more overhead we introduce.  In this case, we have an image of data – most likely hundreds of pixels in both dimensions.  By just parallelizing our first loop, each row of pixels can be run as a single task.  With hundreds of rows of data, we are providing fine enough granularity to keep all of our processors busy. If we parallelize both loops, we’re potentially creating millions of independent tasks.  This introduces extra overhead with no extra gain, and will actually reduce our overall performance.  This leads to my first guideline when writing parallel code: Partition your problem into enough tasks to keep each processor busy throughout the operation, but not more than necessary to keep each processor busy. Also note that I parallelized the outer loop.  I could have just as easily partitioned the inner loop.  However, partitioning the inner loop would have led to many more discrete work items, each with a smaller amount of work (operate on one pixel instead of one row of pixels).  My second guideline when writing parallel code reflects this: Partition your problem in a way to place the most work possible into each task. This typically means, in practice, that you will want to parallelize the routine at the “highest” point possible in the routine, typically the outermost loop.  If you’re looking at parallelizing methods which call other methods, you’ll want to try to partition your work high up in the stack – as you get into lower level methods, the performance impact of parallelizing your routines may not overcome the overhead introduced. Parallel.For works great for situations where we know the number of elements we’re going to process in advance.  If we’re iterating through an IList<T> or an array, this is a typical approach.  However, there are other iteration statements common in C#.  In many situations, we’ll use foreach instead of a for loop.  This can be more understandable and easier to read, but also has the advantage of working with collections which only implement IEnumerable<T>, where we do not know the number of elements involved in advance. As an example, lets take the following situation.  Say we have a collection of Customers, and we want to iterate through each customer, check some information about the customer, and if a certain case is met, send an email to the customer and update our instance to reflect this change.  Normally, this might look something like: foreach(var customer in customers) { // Run some process that takes some time... DateTime lastContact = theStore.GetLastContact(customer); TimeSpan timeSinceContact = DateTime.Now - lastContact; // If it's been more than two weeks, send an email, and update... if (timeSinceContact.Days > 14) { theStore.EmailCustomer(customer); customer.LastEmailContact = DateTime.Now; } } Here, we’re doing a fair amount of work for each customer in our collection, but we don’t know how many customers exist.  If we assume that theStore.GetLastContact(customer) and theStore.EmailCustomer(customer) are both side-effect free, thread safe operations, we could parallelize this using Parallel.ForEach: Parallel.ForEach(customers, customer => { // Run some process that takes some time... DateTime lastContact = theStore.GetLastContact(customer); TimeSpan timeSinceContact = DateTime.Now - lastContact; // If it's been more than two weeks, send an email, and update... if (timeSinceContact.Days > 14) { theStore.EmailCustomer(customer); customer.LastEmailContact = DateTime.Now; } }); Just like Parallel.For, we rework our loop into a method call accepting a delegate created via a lambda expression.  This keeps our new code very similar to our original iteration statement, however, this will now execute in parallel.  The same guidelines apply with Parallel.ForEach as with Parallel.For. The other iteration statements, do and while, do not have direct equivalents in the Task Parallel Library.  These, however, are very easy to implement using Parallel.ForEach and the yield keyword. Most applications can benefit from implementing some form of Data Parallelism.  Iterating through collections and performing “work” is a very common pattern in nearly every application.  When the problem can be decomposed by data, we often can parallelize the workload by merely changing foreach statements to Parallel.ForEach method calls, and for loops to Parallel.For method calls.  Any time your program operates on a collection, and does a set of work on each item in the collection where that work is not dependent on other information, you very likely have an opportunity to parallelize your routine.

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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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  • What I saw at TechEd North America 2014

    - by Brian Schroer
    Originally posted on: http://geekswithblogs.net/brians/archive/2014/05/19/teched-north-america-2014.aspxI was thrilled to be able to attend TechEd North America 2014 in Houston last week. I got to go to Orlando in 2008, and since then I’ve had to settle for watching the sessions online (which ain’t bad – They’re all available on Channel 9 for streaming or downloading. Here are links to the Developer Track sessions and to the sessions from all tracks.) The sessions I attended (with my favorites bolded) were: Shiny new stuff The Microsoft Application Platform for Developers: Create Applications That Span Devices and Services INTRODUCING: The Future of .NET on the Server DEEP DIVE: The Future of .NET on the Server ASP.NET: Building Web Application Using ASP.NET and Visual Studio The Next Generation of .NET for Building Applications The Future of Visual Basic and C# Stuff you can use now Building Rich Apps with AngularJS on ASP.NET Get the Most Out of Your Code Maps SignalR: Building Real-Time Applications with ASP.NET SignalR Performance Optimize Your ASP.NET Web App Modern Web and Visual Studio Visual Studio Power User: Tips and Tricks Debugging Tips and Tricks in Visual Studio 2013 In a world where the whole company uses TFS… Using Functional, Exploratory and Acceptance Testing to Release with Confidence A Practical View of Release Management for Visual Studio 2013 From Vanity to Value, Metrics That Matter: Improving Lean and Agile, Kanban, and Scrum Ain’t Nobody Got Time for That As usual, there were some time slots with nothing of interest and others with 5 things I wanted to see at the same time. Here are the sessions I’m still planning to watch… Getting Started with TypeScript Building a Large Scale JavaScript Application in TypeScript Modern Application Lifecycle Management Why a Hacker Can Own Your Web Servers in a Day! Async Best Practices for C# and Visual Basic Building Multi-Device Apps with the New Visual Studio Tooling for Apache Cordova Applying S.O.L.I.D. Principles in .NET/C# Native Mobile Application Development for iOS, Android, and Windows in C# and Visual Studio Using Xamarin Latest Innovations in Developing ASP.NET MVC Web Applications Zero to Hero: Untested to Tested with Microsoft Fakes Using Visual Studio Cool and Elegant ASP.NET Web Forms with HTML 5 for the Modern Web The Present and Future of .NET in a World of Devices and Services

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  • calling wcf from asp.net mvc - authorization error

    - by niao
    Greetings, My asp.net mvc application calls WCF service. Everything is ok on my localhost (WinXP, IIS6). When I moved on production server where Win2008 Server and IIS7 are used my application gets authorization error while connecting to WCF service. ASP.NET MVC works ok but when it calls some methods on my WCF Service an error is thrown. The funny thing is that when I calls the same WCF Production service from the same ASP.NET MVC application hosted on my localhost it works ok. Can someone please help me with this. I think it's authorization problem which can be fixed on IIS7. Am I right?

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  • Dealing with XML in ASP.NET MVC

    - by Matt W
    I have a block of XML in a database which is easy enough to pull out using ASP.NET MVC, however I would like to access and modify the XML in an way more consistent with class instances. Is there a way to get the MVC (or any other model) to generate a data access (or perhaps Entity) class set from the DB-stored XML? If the above is rather obtuse, the question could be summarised as; What method would you use to best access and modify XML stored in a database from an ASP.NET MVC application? Thanks, Matt.

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  • CSS does not load when updated in an ASP.NET MVC 2 website

    - by dannie.f
    I have a weird problem. Whenever the website designer updates the css file for the website I am working on. I overwrite the old css file with the new version and copy any new images. The problem is that whenever I do this the images in the website header no longer loads along with some other styles that depend on css loading some images. I have tried everything, clearing the browser cache, deleting asp.net temporary files, restarting the browser, changing browsers and pressing Ctrl + F5. Still the images don't load. What usually happens also is that the problem would eventually correct itself and I wouldn't know why. This driving me crazy. Does anyone else have the problem and know how to fix it? If this helps, the header is located in a partial view and the master page loads the css file using Url.Content. The images are css sprites. This issue persists no matter which browser I try, Chrome, Firefox or IE. I am using Visual Studio 2008 SP1 on Windows 7 Ultimate. Other team members have experienced this issue.

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  • ASP.Net MVC 2 Error Method not found: 'System .string

    - by Saravanan I M
    I converted my website from asp.net mvc 1.0 to 2.0. After converting that i am getting the following error in actionlink Method not found: 'System.String System.Web.Mvc.Html.LinkExtensions.RouteLink(System.Web.Mvc.HtmlHelper, System.String, System.Web.Routing.RouteValueDictionary, System.Collections.Generic.IDictionary`2<System.String,System.Object>)'. Line 102: <%var Signin = Html.Resource("globalResources, Signin"); %> Line 103: <% if (string.IsNullOrEmpty(Signin)) Signin = "Signin"; %> Line 104: <%= Html.ActionLink<AccountController>(cntrl => cntrl.LogOn(), Signin.ToString(), new { @class = "defaultmaster" })%> Line 105: | Line 106: <%var register = Html.Resource("globalResources, Register"); %> Source File: e:\Muchsocial\Sourcecode\Muchsocial\Views\Shared\Muchsocial.Master Line: 104

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  • ASP.NET MVC: Making routes/URLs IIS6 and IIS7-friendly

    - by Seb Nilsson
    I have an ASP.NET MVC-application which I want deployable on both IIS6 and IIS7 and as we all know, IIS6 needs the ".mvc"-naming in the URL. Will this code work to make sure it works on all IIS-versions? Without having to make special adjustments in code, global.asax or config-files for the different IIS-versions. bool usingIntegratedPipeline = HttpRuntime.UsingIntegratedPipeline; routes.MapRoute( "Default", usingIntegratedPipeline ? "{controller}/{action}/{id}" : "{controller}.mvc/{action}/{id}", new { controller = "Home", action = "Index", id = "" } ); Update: Forgot to mention. No ISAPI. Hosted website, no control over the IIS-server.

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  • Desktop mono app and MVC/MVP framework

    - by tempy
    I am looking for a MVC/MVP (mvp prefferably) framework for my first mono app. There doesn't seem to be too much out there, but I have found the following: http://www.mvcsharp.org/ http://desktoprails.osl.ull.es/doku.php I've been looking into both for some time, and MVC# seems to be closer to what I want. The issue is that MVC# seems to be a .net project and not designed specifically for mono (as opposed to desktop rails), so I'm not 100% sure how it will play with mono. Also, it is under the Microsoft Public License (MsPL), and I am not sure how well that license will play with other components I intend to use that are gpl/mit/apache/etc. So if anyone has any experience with either of these frameworks in mono and can answer any of these questions, I would appreciate any feedback.

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  • ASP.NET MVC thinks my virtual directory is a controller

    - by kmehta
    I have a virtual directory under my MVC website in IIS called "Files". This directory is at the same level as my Views directory. When I link to a file from my MVC app to a file under my Files directory, I get the following error: The controller for path '/Files/Images/1c7f7eb8-5d66-4bca-a73a-4ba6340a7805.JPG' was not found or does not implement IController. It thinks that my Files VD is a controller. How do I access my files like a normal VD without MVC interfering? Thanks.

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  • Generic ASP.NET MVC Route Conflict

    - by Donn Felker
    I'm working on a Legacy ASP.NET system. I say legacy because there are NO tests around 90% of the system. I'm trying to fix the routes in this project and I'm running into a issue I wish to solve with generic routes. I have the following routes: routes.MapRoute( "DefaultWithPdn", "{controller}/{action}/{pdn}", new { controller = "", action = "Index", pdn = "" }, null ); routes.MapRoute( "DefaultWithClientId", "{controller}/{action}/{clientId}", new { controller = "", action = "index", clientid = "" }, null ); The problem is that the first route is catching all of the traffic for what I need to be routed to the second route. The route is generic (no controller is defined in the constraint in either route definition) because multiple controllers throughout the entire app share this same premise (sometimes we need a "pdn" sometimes we need a "clientId"). How can I map these generic routes so that they go to the proper controller and action, yet not have one be too greedy? Or can I at all? Are these routes too generic (which is what I'm starting to believe is the case). My only option at this point (AFAIK) is one of the following: In the contraints, apply a regex to match the action values like: (foo|bar|biz|bang) and the same for the controller: (home|customer|products) for each controller. However, this has a problem in the fact that I may need to do this: ~/Foo/Home/123 // Should map to "DefaultwithPdn" ~/Foo/Home/abc // Should map to "DefaultWithClientId" Which means that if the Foo Controller has an action that takes a pdn and another action that takes a clientId (which happens all the time in this app), the wrong route is chosen. To hardcode these contstraints into each possible controller/action combo seems like a lot of duplication to me and I have the feeling I've been looking at the problem for too long so I need another pair of eyes to help out. Can I have generic routes to handle this scenario? Or do I need to have custom routes for each controller with constraints applied to the actions on those routes? Thanks

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  • Where would async calls make sense in an ASP.net (MVC) Web Application?

    - by Michael Stum
    I'm just wondering, if I have an ASP.net Web Application, either WebForms or MVC, is there any situation where doing stuff asynchronously would make sense? The Web Server already handles threading for me in that it spins up multiple threads to handle requests, and most request processing is rather simple and straight forward. I see some use for when stuff truly is a) expensive and b) can be parallelized. but these are the minority cases (at least from what I've encountered). Is there any gain from async in the simple "Read some input, do some CRUD, display some output" scenario?

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  • ASP.NET MVC 2 controller-url problems

    - by cc0
    I am still very new to the MVC framework, but I managed to create a controller that reads from a database and writes JSON to an url; host.com/Controllername?minValue=something&maxValue=something However when I move the site to a subfolder; host.com/mvc/ it doesn't seem to be able to call the controller from there when I do it like this; host.com/mvc/Controllername?minValue=something&maxValue=something Did I forget to do something somewhere to make this url call valid from that subfolder? Any help here would be greatly appreciated.

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  • Which data framework is better for an ASP.NET MVC site - LINQ to SQL or NHibernate

    - by Paul Alexander
    We're about to embark on some ASP.NET MVC development and have been using our own entity framework for years. However we need to support more than our entity framework is capable of and so I'd like to get some opinions about using MVC with a more robust framework. We have narrowed down or choices to either NHibernate (with the Fluent APIs) or LINQ to SQL. Which framework lends itself best to MVC style development (I know SO uses LINQ to SQL)? If we want to support SQL Server, Oracle, MySQL - does that exclude LINQ to SQL?

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  • Does MVC replace traditional manually created BLL?

    - by used2could
    I'm used to creating the UI, BLL, DAL by hand (some times I've used LINQ-to-SQL or SubSonic for the DAL). I've done several small projects using MVC since its release. On these projects I've still continued to write a BLL and DAL by hand and then incorporate those into the MVC's models/controllers. I'm looking to optimize my time on projects this seems like overkill and a potential waste of time. Question Would it be acceptable to roll a DAL such as SubSonic and directly use it in the Models/Controllers of my MVC web app? Now the models & controllers would act as the BLL. I just see this as a major timesaver to not have to worry about another tier. UPDATE: I just wanted to add that my concern isn't really with the DAL (I frequently use SubSonic and NH) but rather focus on the BLL. Sorry for the confusion.

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