Search Results

Search found 1353 results on 55 pages for 'hint'.

Page 5/55 | < Previous Page | 1 2 3 4 5 6 7 8 9 10 11 12  | Next Page >

  • Applying ServiceKnownTypeAttribute to WCF service with Spring

    - by avidgoffer
    I am trying to apply the ServiceKnownTypeAttribute to my WCF Service but keep getting the error below my config. Does anyone have any ideas? <object id="HHGEstimating" type="Spring.ServiceModel.ServiceExporter, Spring.Services"> <property name="TargetName" value="HHGEstimatingHelper"/> <property name="Name" value="HHGEstimating"/> <property name="Namespace" value="http://www.igcsoftware.com/HHGEstimating"/> <property name="TypeAttributes"> <list> <ref local="wcfErrorBehavior"/> <ref local="wcfSilverlightFaultBehavior"/> <object type="System.ServiceModel.ServiceKnownTypeAttribute, System.ServiceModel"> <constructor-arg name="type" value="IGCSoftware.HHG.Business.UserControl.AtlasUser, IGCSoftware.HHG.Business"/> </object> </list> </property> Error thrown by a dependency of object 'HHGEstimating' defined in 'assembly [IGCSoftware.HHG.WebService, Version=1.0.0.0, Culture=neutral, PublicKeyToken=null], resource [IGCSoftware.HHG.WebService.Resources.Spring.objects.xml] line 46' : '1' constructor arguments specified but no matching constructor found in object 'System.ServiceModel.ServiceKnownTypeAttribute#25A5628' (hint: specify argument indexes, names, or types to avoid ambiguities). while resolving 'TypeAttributes[2]' to 'System.ServiceModel.ServiceKnownTypeAttribute#25A5628' defined in 'assembly [IGCSoftware.HHG.WebService, Version=1.0.0.0, Culture=neutral, PublicKeyToken=null], resource [IGCSoftware.HHG.WebService.Resources.Spring.objects.xml] line 46' Description: An unhandled exception occurred during the execution of the current web request. Please review the stack trace for more information about the error and where it originated in the code. Exception Details: Spring.Objects.Factory.ObjectCreationException: Error thrown by a dependency of object 'HHGEstimating' defined in 'assembly [IGCSoftware.HHG.WebService, Version=1.0.0.0, Culture=neutral, PublicKeyToken=null], resource [IGCSoftware.HHG.WebService.Resources.Spring.objects.xml] line 46' : '1' constructor arguments specified but no matching constructor found in object 'System.ServiceModel.ServiceKnownTypeAttribute#25A5628' (hint: specify argument indexes, names, or types to avoid ambiguities). while resolving 'TypeAttributes[2]' to 'System.ServiceModel.ServiceKnownTypeAttribute#25A5628' defined in 'assembly [IGCSoftware.HHG.WebService, Version=1.0.0.0, Culture=neutral, PublicKeyToken=null], resource [IGCSoftware.HHG.WebService.Resources.Spring.objects.xml] line 46' Source Error: An unhandled exception was generated during the execution of the current web request. Information regarding the origin and location of the exception can be identified using the exception stack trace below. Stack Trace: [ObjectCreationException: Error thrown by a dependency of object 'HHGEstimating' defined in 'assembly [IGCSoftware.HHG.WebService, Version=1.0.0.0, Culture=neutral, PublicKeyToken=null], resource [IGCSoftware.HHG.WebService.Resources.Spring.objects.xml] line 46' : '1' constructor arguments specified but no matching constructor found in object 'System.ServiceModel.ServiceKnownTypeAttribute#25A5628' (hint: specify argument indexes, names, or types to avoid ambiguities). while resolving 'TypeAttributes[2]' to 'System.ServiceModel.ServiceKnownTypeAttribute#25A5628' defined in 'assembly [IGCSoftware.HHG.WebService, Version=1.0.0.0, Culture=neutral, PublicKeyToken=null], resource [IGCSoftware.HHG.WebService.Resources.Spring.objects.xml] line 46'] Spring.Objects.Factory.Support.ObjectDefinitionValueResolver.ResolveInnerObjectDefinition(String name, String innerObjectName, String argumentName, IObjectDefinition definition, Boolean singletonOwner) in l:\projects\spring-net\trunk\src\Spring\Spring.Core\Objects\Factory\Support\ObjectDefinitionValueResolver.cs:300 Spring.Objects.Factory.Support.ObjectDefinitionValueResolver.ResolvePropertyValue(String name, IObjectDefinition definition, String argumentName, Object argumentValue) in l:\projects\spring-net\trunk\src\Spring\Spring.Core\Objects\Factory\Support\ObjectDefinitionValueResolver.cs:150 Spring.Objects.Factory.Support.ObjectDefinitionValueResolver.ResolveValueIfNecessary(String name, IObjectDefinition definition, String argumentName, Object argumentValue) in l:\projects\spring-net\trunk\src\Spring\Spring.Core\Objects\Factory\Support\ObjectDefinitionValueResolver.cs:112 Spring.Objects.Factory.Config.ManagedList.Resolve(String objectName, IObjectDefinition definition, String propertyName, ManagedCollectionElementResolver resolver) in l:\projects\spring-net\trunk\src\Spring\Spring.Core\Objects\Factory\Config\ManagedList.cs:126 Spring.Objects.Factory.Support.ObjectDefinitionValueResolver.ResolvePropertyValue(String name, IObjectDefinition definition, String argumentName, Object argumentValue) in l:\projects\spring-net\trunk\src\Spring\Spring.Core\Objects\Factory\Support\ObjectDefinitionValueResolver.cs:201 Spring.Objects.Factory.Support.ObjectDefinitionValueResolver.ResolveValueIfNecessary(String name, IObjectDefinition definition, String argumentName, Object argumentValue) in l:\projects\spring-net\trunk\src\Spring\Spring.Core\Objects\Factory\Support\ObjectDefinitionValueResolver.cs:112 Spring.Objects.Factory.Support.AbstractAutowireCapableObjectFactory.ApplyPropertyValues(String name, RootObjectDefinition definition, IObjectWrapper wrapper, IPropertyValues properties) in l:\projects\spring-net\trunk\src\Spring\Spring.Core\Objects\Factory\Support\AbstractAutowireCapableObjectFactory.cs:373 Spring.Objects.Factory.Support.AbstractAutowireCapableObjectFactory.PopulateObject(String name, RootObjectDefinition definition, IObjectWrapper wrapper) in l:\projects\spring-net\trunk\src\Spring\Spring.Core\Objects\Factory\Support\AbstractAutowireCapableObjectFactory.cs:563 Spring.Objects.Factory.Support.AbstractAutowireCapableObjectFactory.ConfigureObject(String name, RootObjectDefinition definition, IObjectWrapper wrapper) in l:\projects\spring-net\trunk\src\Spring\Spring.Core\Objects\Factory\Support\AbstractAutowireCapableObjectFactory.cs:1844 Spring.Objects.Factory.Support.AbstractAutowireCapableObjectFactory.InstantiateObject(String name, RootObjectDefinition definition, Object[] arguments, Boolean allowEagerCaching, Boolean suppressConfigure) in l:\projects\spring-net\trunk\src\Spring\Spring.Core\Objects\Factory\Support\AbstractAutowireCapableObjectFactory.cs:918 Spring.Objects.Factory.Support.AbstractObjectFactory.CreateAndCacheSingletonInstance(String objectName, RootObjectDefinition objectDefinition, Object[] arguments) in l:\projects\spring-net\trunk\src\Spring\Spring.Core\Objects\Factory\Support\AbstractObjectFactory.cs:2120 Spring.Objects.Factory.Support.AbstractObjectFactory.GetObjectInternal(String name, Type requiredType, Object[] arguments, Boolean suppressConfigure) in l:\projects\spring-net\trunk\src\Spring\Spring.Core\Objects\Factory\Support\AbstractObjectFactory.cs:2046 Spring.Objects.Factory.Support.DefaultListableObjectFactory.PreInstantiateSingletons() in l:\projects\spring-net\trunk\src\Spring\Spring.Core\Objects\Factory\Support\DefaultListableObjectFactory.cs:505 Spring.Context.Support.AbstractApplicationContext.Refresh() in l:\projects\spring-net\trunk\src\Spring\Spring.Core\Context\Support\AbstractApplicationContext.cs:911 _dynamic_Spring.Context.Support.XmlApplicationContext..ctor(Object[] ) +197 Spring.Reflection.Dynamic.SafeConstructor.Invoke(Object[] arguments) in l:\projects\spring-net\trunk\src\Spring\Spring.Core\Reflection\Dynamic\DynamicConstructor.cs:116 Spring.Context.Support.RootContextInstantiator.InvokeContextConstructor(ConstructorInfo ctor) in l:\projects\spring-net\trunk\src\Spring\Spring.Core\Context\Support\ContextHandler.cs:550 Spring.Context.Support.ContextInstantiator.InstantiateContext() in l:\projects\spring-net\trunk\src\Spring\Spring.Core\Context\Support\ContextHandler.cs:494 Spring.Context.Support.ContextHandler.InstantiateContext(IApplicationContext parentContext, Object configContext, String contextName, Type contextType, Boolean caseSensitive, String[] resources) in l:\projects\spring-net\trunk\src\Spring\Spring.Core\Context\Support\ContextHandler.cs:330 Spring.Context.Support.ContextHandler.Create(Object parent, Object configContext, XmlNode section) in l:\projects\spring-net\trunk\src\Spring\Spring.Core\Context\Support\ContextHandler.cs:280 [ConfigurationErrorsException: Error creating context 'spring.root': Error thrown by a dependency of object 'HHGEstimating' defined in 'assembly [IGCSoftware.HHG.WebService, Version=1.0.0.0, Culture=neutral, PublicKeyToken=null], resource [IGCSoftware.HHG.WebService.Resources.Spring.objects.xml] line 46' : '1' constructor arguments specified but no matching constructor found in object 'System.ServiceModel.ServiceKnownTypeAttribute#25A5628' (hint: specify argument indexes, names, or types to avoid ambiguities). while resolving 'TypeAttributes[2]' to 'System.ServiceModel.ServiceKnownTypeAttribute#25A5628' defined in 'assembly [IGCSoftware.HHG.WebService, Version=1.0.0.0, Culture=neutral, PublicKeyToken=null], resource [IGCSoftware.HHG.WebService.Resources.Spring.objects.xml] line 46'] System.Configuration.BaseConfigurationRecord.EvaluateOne(String[] keys, SectionInput input, Boolean isTrusted, FactoryRecord factoryRecord, SectionRecord sectionRecord, Object parentResult) +202 System.Configuration.BaseConfigurationRecord.Evaluate(FactoryRecord factoryRecord, SectionRecord sectionRecord, Object parentResult, Boolean getLkg, Boolean getRuntimeObject, Object& result, Object& resultRuntimeObject) +1061 System.Configuration.BaseConfigurationRecord.GetSectionRecursive(String configKey, Boolean getLkg, Boolean checkPermission, Boolean getRuntimeObject, Boolean requestIsHere, Object& result, Object& resultRuntimeObject) +1431 System.Configuration.BaseConfigurationRecord.GetSection(String configKey, Boolean getLkg, Boolean checkPermission) +56 System.Configuration.BaseConfigurationRecord.GetSection(String configKey) +8 System.Web.Configuration.HttpConfigurationSystem.GetApplicationSection(String sectionName) +45 System.Web.Configuration.HttpConfigurationSystem.GetSection(String sectionName) +49 System.Web.Configuration.HttpConfigurationSystem.System.Configuration.Internal.IInternalConfigSystem.GetSection(String configKey) +6 System.Configuration.ConfigurationManager.GetSection(String sectionName) +78 Spring.Util.ConfigurationUtils.GetSection(String sectionName) in l:\projects\spring-net\trunk\src\Spring\Spring.Core\Util\ConfigurationUtils.cs:69 Spring.Context.Support.ContextRegistry.InitializeContextIfNeeded() in l:\projects\spring-net\trunk\src\Spring\Spring.Core\Context\Support\ContextRegistry.cs:340 Spring.Context.Support.ContextRegistry.GetContext() in l:\projects\spring-net\trunk\src\Spring\Spring.Core\Context\Support\ContextRegistry.cs:206 Spring.ServiceModel.Activation.ServiceHostFactory.CreateServiceHost(String reference, Uri[] baseAddresses) in l:\projects\spring-net\trunk\src\Spring\Spring.Services\ServiceModel\Activation\ServiceHostFactory.cs:66 System.ServiceModel.HostingManager.CreateService(String normalizedVirtualPath) +11687036 System.ServiceModel.HostingManager.ActivateService(String normalizedVirtualPath) +42 System.ServiceModel.HostingManager.EnsureServiceAvailable(String normalizedVirtualPath) +479 [ServiceActivationException: The service '/HHGEstimating.svc' cannot be activated due to an exception during compilation. The exception message is: Error creating context 'spring.root': Error thrown by a dependency of object 'HHGEstimating' defined in 'assembly [IGCSoftware.HHG.WebService, Version=1.0.0.0, Culture=neutral, PublicKeyToken=null], resource [IGCSoftware.HHG.WebService.Resources.Spring.objects.xml] line 46' : '1' constructor arguments specified but no matching constructor found in object 'System.ServiceModel.ServiceKnownTypeAttribute#25A5628' (hint: specify argument indexes, names, or types to avoid ambiguities). while resolving 'TypeAttributes[2]' to 'System.ServiceModel.ServiceKnownTypeAttribute#25A5628' defined in 'assembly [IGCSoftware.HHG.WebService, Version=1.0.0.0, Culture=neutral, PublicKeyToken=null], resource [IGCSoftware.HHG.WebService.Resources.Spring.objects.xml] line 46'.] System.ServiceModel.AsyncResult.End(IAsyncResult result) +11592858 System.ServiceModel.Activation.HostedHttpRequestAsyncResult.End(IAsyncResult result) +194 System.ServiceModel.Activation.HostedHttpRequestAsyncResult.ExecuteSynchronous(HttpApplication context, Boolean flowContext) +176 System.ServiceModel.Activation.HttpModule.ProcessRequest(Object sender, EventArgs e) +275 System.Web.SyncEventExecutionStep.System.Web.HttpApplication.IExecutionStep.Execute() +68 System.Web.HttpApplication.ExecuteStep(IExecutionStep step, Boolean& completedSynchronously) +75

    Read the article

  • C++ Profiling: KiFastSystemCallRet

    - by John
    I searched for this after seeing it's the top rated item when profiling using Very Sleepy, and it seems everyone gets the answer "it's a system function, ignore it". But Sleepy's hint for the function says: Hint: KiFastSystemCallRet often means the thread was waiting for something else to finish. Possible causes might be disk I/O, waiting for an event, or maybe just calling Sleep(). Now, my app is absolutely thrashing the CPU and so it's a bit weird 33% of the time is spent waiting for something to happen. Do I really just ignore it? EDIT: apparently, 77% of the calls to this come from QueryOglResource (?) which is in module nvd3dnum. I think that might be nvidia Direct3D stuff, i.e rendering.

    Read the article

  • PostGres Error When Using Distinct : postgres ERROR: could not identify an ordering operator for ty

    - by CaffeineIV
    ** EDIT ** Nevermind, just needed to take out the parens... I get this error: ERROR: could not identify an ordering operator for type record when trying to use DISTINCT Here's the query: select DISTINCT(g.fielda, g.fieldb, r.type) from fields g LEFT JOIN types r ON g.id = r.id; And the errors: ERROR: could not identify an ordering operator for type record HINT: Use an explicit ordering operator or modify the query. ********** Error ********** ERROR: could not identify an ordering operator for type record SQL state: 42883 Hint: Use an explicit ordering operator or modify the query.

    Read the article

  • Quaddratic Bezier Curve: Calculate Tangent

    - by stefan.at.wpf
    Hello, I have have a quadratic bezier curve and I want to calculate the slope of the tangent in a given point. For example, let it be the middlepoint of the quadratic bezier curve, therefore t=0.5 (please see the link below for a picture of this). I've calculated the first derivation of the formula for the quadratic bezier curve, however I get 400 as value for the slope, though it should be 0. Maybe I'm using the first derivation in a wrong way? I know I could also calculate the tangents using trigonometric functions, however I'd like to do it using the first derivation, shouldn't this be possible? Thanks for any hint! For clarification / please note: I'm interested in a general way to get the slope in a arbitrary given point on a quadratic bezier curve, not only to get the tangent in the start- and end point. A picture of my problem including the text above: http://cid-0432ee4cfe9c26a0.skydrive.live.com/self.aspx/%c3%96ffentlich/Quadratic%20Bezier%20Curve.pdf Thank you very much for any hint!

    Read the article

  • Is it possible to have a JPanel over JTable

    - by YuppieNetworking
    Hello, I have a JTable whose associated TableModel could be initially empty. Therefore, it currently shows a JTable with its columns and no rows. In order to fill this JTable, I want the user to drag and drop elements from another component. The problem is that I would like to hint the user that he/she should drag elements to this table, with some message like "Drag xxx here to add a row". I thought that I could achieve this by putting a panel over the JTable , but I don't think it is possible with any java layout. Does anyone know how to do this? Or should I stick to a CardLayout to switch to/from the hint and the JTable? Thanks a lot

    Read the article

  • How can I create an HTML text field that has scrolling background images before it is clicked?

    - by Jeffrey
    I'm looking to add a textbox on my website that captures a single email address. Behind it, I would like a scrolling (or sliding) images to be a "hint" for what the field should be. Example: http://steamboat.com/ - the "Newsletter sign up" toward the top of the page. I can find plenty of jQuery plugins that provide a plain text "hint". Where should I start looking to add this additional affect. Note: I do not want to add any flash elements on the page.

    Read the article

  • Adding Java packages to GWT

    - by Organiccat
    I've tried searching but couldn't come up with a defined way on how to add your own packages to a GWT project. My tree structure looks like this: -com.mycompany -public MyApplication.html MyApplication.gwt.xml -com.mycompany.client MyApp.java -com.mycompany.gui TableLayout.java The answer I've seen out there says to add the packages relative to the root directory of the gwt.xml file, like so: <module> <inherits name="com.google.gwt.user.User" /> <entry-point class="com.mycompany.client.MyApp" /> <source path="client" /> <source path="gui" /> </module> It then complains: Unable to find type 'com.technicon.client.MyApp' Hint: Previous compiler errors may have made this type unavailable Hint: Check the inheritance chain from your module; it may not be inheriting a required module or a module may not be adding its source path entries properly Can anyone tell me what I'm doing wrong and how to fix this?

    Read the article

  • gwt compiling error

    - by Hoax
    Compiling module com.sem.Sem10 Finding entry point classes [ERROR] Unable to find type 'com.sem.client.Sem10' [ERROR] Hint: Previous compiler errors may have made this type unavailable [ERROR] Hint: Check the inheritance chain from your module; it may not be inheriting a required module or a module may not be adding its source path entries properly My package structure is com.sem com.sem.client com.sem.schema com.sem.server inherits name='com.google.gwt.user.User' inherits name='com.google.gwt.user.theme.standard.Standard' inherits name='com.google.gwt.maps.GoogleMaps' script src="http://maps.google.com/maps?gwt=1&file=api&amp.... entry-point class='com.sem.client.Sem10' source path='com.sem.schema' I have googled this thing for quite a while and could not find a solution...? any help appreciated

    Read the article

  • Xcode: Using a custom framework

    - by Robert
    The error I'm getting: in /Users/robert/Documents/funWithFrameworks/build/Debug-iphonesimulator/funWithFrameworks.framework/funWithFrameworks, can't link with a main executable Cliff notes: trying to include framework doesn't want to link More detail: I'm developing for a mobile device... hint, hint using Xcode and I'm trying to make my own custom framework which I can include from another application. So far, I've done the following: Create a new project; an iPhone OS window based app. Go to target info- under packaging, change the wrapper extension from app to framework Go to Action-new build phase - copy headers. Change roles of headers to 'public' From my application, I add the framework to the frameworks group.

    Read the article

  • Call the method of base Class which was over ridden

    - by Abhijith Venkata
    I have illustrated my question in this example class Car { public void start(){ System.out.println("Car Started!!!"); } } class Mercedes extends Car { public void start(){ System.out.println("Mercedes Started!!!"); } } Now, in my main program, I write Mercedes m = new Mercedes(); m.start(); It prints: Mercedes Started!!! How do I call the start() method of Car class using the same object so that the output can be Car Started!!!. Edit: Actually It was asked in an interview I attended. I gave the super keyword answer. But the interviewer denied it. He said he'd give me a hint and said Virtual Function. I have no idea how to use that hint.

    Read the article

  • Linear Recurrence for very large n

    - by Android Decoded
    I was trying to solve this problem on SPOJ (http://www.spoj.pl/problems/REC/) F(n) = a*F(n-1) + b where we have to find F(n) Mod (m) where 0 <= a, b, n <= 10^100 1 <= M <= 100000 I am trying to solve it with BigInteger in JAVA but if I run a loop from 0 to n its getting TLE. How could I solve this problem? Can anyone give some hint? Don't post the solution. I want hint on how to solve it efficiently.

    Read the article

  • Providing updating suggestions list with javascript, php and ajax

    - by user1104854
    I'm trying to modify this example on making a live updating list to integrate it with my API. So, instead of using GET on the page with the form, I'd like to send it to that page via a function call. So, here's my form // message.php //function to display the hint sent from gethint.php function message_hint($hint){ echo $hint; } //displays the form for sending messages function send_message_form($to_user,$title,$message){ include 'gethint.php'; ?> <table> <form name = "send_message" method="post"> <td>Send A Message</td> <tr><td>To:</td><td><input type = "text" size="50" name="to_user" id = "to_user" value ="<? echo $to_user; ?>" onkeyup="showHint(this.value)"></td></tr> <tr><td>Title:</td><td><input type = "text" size="50" name="message_title"></td></tr> <tr><td>Message:</td><td><textarea rows="4" cols="50" name="message_details"></textarea></td></tr> <tr><td><input type="submit" name="submit_message"></td></tr> </table> </form> <? } Here's the head of message.php <head> <script> function showHint(str){ var to_user = document.getElementById("to_user").value //to_user is the id of the textbox if (str.length==0){ to_user.innerHTML=""; return; } if (window.XMLHttpRequest){// code for IE7+, Firefox, Chrome, Opera, Safari xmlhttp=new XMLHttpRequest(); }else{// code for IE6, IE5 xmlhttp=new ActiveXObject("Microsoft.XMLHTTP"); } xmlhttp.onreadystatechange=function(){ if (xmlhttp.readyState==4 && xmlhttp.status==200){ alert(to_user) //properly displays the name via alert box to_user.innerHTML=xmlhttp.responseText; } } xmlhttp.open("GET","gethint.php?q="+to_user,true); xmlhttp.send(); } </script> </head> The page gethint.php is exactly the same, aside from this at the bottom. //echo $response //this was the original output $message = new messages; $message->message_hint($response);

    Read the article

  • What is the MVC version of this code?

    - by Ian Boyd
    i'm trying to wrap my head around how to enterprise up my code: taking a simple routine and splitting it up into 5 or 6 methods in 3 or 4 classes. i quickly came up three simple examples of code how i currently write it. Could someone please convert these into an MVC/MVP obfuscated version? Example 1: The last name is mandatory. Color the text box red if nothing is entered. Color it green if stuff is entered: private void txtLastname_TextChanged(object sender, EventArgs e) { //Lastname mandatory. //Color pinkish if nothing entered. Greenish if entered. if (txtLastname.Text.Trim() == "") { //Lastname is required, color pinkish txtLastname.BackColor = ControlBad; } else { //Lastname entered, remove the coloring txtLastname.BackColor = ControlGood; } } Example 2: The first name is optional, but try to get it. We'll add a bluish tint to this "try to get" field: private void txtFirstname_TextChanged(object sender, EventArgs e) { //Firstname can be blank. //Hint them that they should *try* to get it with a bluish color. //If they do enter stuff: it better be not all spaces. if (txtFirstname.Text == "") { //Nothing there, hint it blue txtFirstname.BackColor = ControlRequired; } else if (txtFirstname.Text.Trim() == "") { //They entered spaces - bad user! txtFirstname.BackColor = ControlBad; } else { //Entered stuff, remove coloring txtFirstname.BackColor = SystemColors.Window; } } Example 3 The age is totally optional. If an age is entered, it better be valid: private void txtAge_TextChanged(object sender, EventArgs e) { //Age is optional, but if entered it better be valid int nAge = 0; if (Int32.TryParse(txtAge.Text, out nAge)) { //Valid integer entered if (nAge < 0) { //Negative age? i don't think so txtAge.BackColor = ControlBad; } else { //Valid age entered, remove coloring txtAge.BackColor = SystemColors.Window; } } else { //Whatever is in there: it's *not* a valid integer, if (txtAge.Text == "") { //Blank is okay txtAge.BackColor = SystemColors.Window; } else { //Not a valid age, bad user txtAge.BackColor = ControlBad; } } } Every time i see MVC code, it looks almost like random splitting of code into different methods, classes, and files. i've not been able to determine a reason or pattern to their madness. Without any understanding of they why it's being one some way, it makes no sense. And using the words model, view, controller and presenter, like i'm supposed to know what that means, doesn't help. The model is your data. The view shows data on screen. The controller is used to carry out the users actions And oranges taste orangy. Here's my attempt at splitting things up in order to make the code more difficult to follow. Is this anywhere close to MVC? private void txtFirstname_TextChanged(object sender, EventArgs e) { FirstnameTextChangedHandler(sender, e); } private void FirstnameTextChangedHandler(sender, e) { string firstname = GetFirstname(); Color firstnameTextBoxColor = GetFirstnameTextBoxColor(firstname); SetFirstNameTextBoxColor(firstnameTextBoxColor); } private string GetFirstname() { return txtFirstname.Text; } private Color GetFirstnameTextBoxColor(string firstname) { //Firstname can be blank. //Hint them that they should *try* to get it with a bluish color. //If they do enter stuff: it better be not all spaces. if (firstname == "") { //Nothing there, hint it blue return GetControlRequiredColor(); } else if (firstname.Trim() == "") { //They entered spaces - bad user! return GetControlBadColor(); } else { //Entered stuff, remove coloring return GetControlDefaultColor(); } } private Color GetControlRequiredColor() { return ControlRequired; } private Color GetControlBadColor() { return ControlBad; } private Color GetControlGoodColor() { return ControlGood; } //am i doin it rite i've obfuscated the code, but it's still altogether. The next step in the MVC obfuscation, i gather, is to hide the code in 3 or 4 different files. It's that next step that i don't understand. What is the logical separation of which functions are moved into what other classes? Can someone translate my 3 simple examples above into full fledged MVC obfuscation? Edit: Not ASP/ASP.NET/Online. Pretend it's on a desktop, handheld, surface, kiosk. And pretend it's language agnostic.

    Read the article

  • Dynamic validation in jquery

    - by mansoor
    $(document).ready(function(){ $('a[rel=addhint]').click(function(){ var html='<div><label>Hint</label>'; html+='<span class="input"><input type="text" size="30" class="text" name="hint"/><a href="#" rel="delhint">delete</a></span><br class="clear" /></div>'; $('div#hintTextContainer').append(html); bindDelHintAll(); return false; }); I want when a new text area include vadition of required field and max length will also apply on it.

    Read the article

  • hierarchical html listbox with mimicking file explorer level folding

    - by collapsar
    hello everybody, i'm looking for a technique to adapt a html listbox to hierarchical content with an unlimited number of levels ( const 1 would be sufficient ). hierarchy levels should be collapsible as in the usual file explorer views. the html listbox behaviour should be preserved / mimicked as comprehensively as possible. do you have a hint on where to find or how to implement this ? jquery solutions are fine. firefox 3.5+, ie 8+, safari 5 must be supported; opera 11, chrome 9 would be nice. as far as i understand the issue, listbox contents are rendered inside their own browser window sporting none of the standard window adornments. a hint on how to obtain a handle on this window in js would be a sufficient starting point, as well as correcting me in case i misconceived the browser behaviour. thanks in advance for your efforts, best regards, carsten

    Read the article

  • How to update SQL Server database from multiple data sources for ASP.Net MVC 4 application

    - by shaz
    I have 10+ SQL Server databases, from where I would use one table from each database to display information using the application that I am creating. For instance, DB1, DB2....DB10. NewDB (Account, Country, Costcenter....etc.). I have started with creating a new database which would contain all the information from all those 10+ databases. However, I am confused in many cases. First of all what process should I follow? Shall I create a table (in new database) with the same structure as the actual data source and insert data from actual data source to new database? Should I be doing this on the DBMS? If so, is it some scripting? (hint expected since very new to this) I am creating a report generation application which has 10+ data sources. I need some hint which way should I proceed? Thanks for advice/help in advance.

    Read the article

  • Solve a maze using multicores?

    - by acidzombie24
    This question is messy, i dont need a working solution, i need some psuedo code. How would i solve this maze? This is a homework question. I have to get from point green to red. At every fork i need to 'spawn a thread' and go that direction. I need to figure out how to get to red but i am unsure how to avoid paths i already have taken (finishing with any path is ok, i am just not allowed to go in circles). Heres an example of my problem, i start by moving down and i see a fork so one goes right and one goes down (or this thread can take it, it doesnt matter). Now lets ignore the rest of the forks and say the one going right hits the wall, goes down, hits the wall and goes left, then goes up. The other thread goes down, hits the wall then goes all the way right. The bottom path has been taken twice, by starting at different sides. How do i mark this path has been taken? Do i need a lock? Is this the only way? Is there a lockless solution? Implementation wise i was thinking i could have the maze something like this. I dont like the solution because there is a LOT of locking (assuming i lock before each read and write of the haveTraverse member). I dont need to use the MazeSegment class below, i just wrote it up as an example. I am allowed to construct the maze however i want. I was thinking maybe the solution requires no connecting paths and thats hassling me. Maybe i could split the map up instead of using the format below (which is easy to read and understand). But if i knew how to split it up i would know how to walk it thus the problem. How do i walk this maze efficiently? The only hint i receive was dont try to conserve memory by reusing it, make copies. However that was related to a problem with ordering a list and i dont think the hint was a hint for this. class MazeSegment { enum Direction { up, down, left, right} List<Pair<Direction, MazeSegment*>> ConnectingPaths; int line_length; bool haveTraverse; } MazeSegment root; class MazeSegment { enum Direction { up, down, left, right} List<Pair<Direction, MazeSegment*>> ConnectingPaths; bool haveTraverse; } void WalkPath(MazeSegment segment) { if(segment.haveTraverse) return; segment.haveTraverse = true; foreach(var v in segment) { if(v.haveTraverse == false) spawn_thread(v); } } WalkPath(root);

    Read the article

  • OSGI bundle (or service)- how to register for a given time period?

    - by Alec
    Hello, all! Search did not give me a hint, how can i behave with the following situation: I'd love to have 2 OSGI implementations of the same interface: one is regular, the other should work (be active/present/whatever) on the given time period (f.e for Christmas weeks :)) The main goal is to call the same interface without specifying any flags/properties/without manual switching of ranking. Application should somehow switch implementation for this special period, doing another/regular job before and after :) I'm a newbie, maybe i do not completely understand OSGI concept somewhere, sorry for that of give me a hint or link, sorry for my English. Using Felix/Equinox with Apache Aries.

    Read the article

  • Improving Partitioned Table Join Performance

    - by Paul White
    The query optimizer does not always choose an optimal strategy when joining partitioned tables. This post looks at an example, showing how a manual rewrite of the query can almost double performance, while reducing the memory grant to almost nothing. Test Data The two tables in this example use a common partitioning partition scheme. The partition function uses 41 equal-size partitions: CREATE PARTITION FUNCTION PFT (integer) AS RANGE RIGHT FOR VALUES ( 125000, 250000, 375000, 500000, 625000, 750000, 875000, 1000000, 1125000, 1250000, 1375000, 1500000, 1625000, 1750000, 1875000, 2000000, 2125000, 2250000, 2375000, 2500000, 2625000, 2750000, 2875000, 3000000, 3125000, 3250000, 3375000, 3500000, 3625000, 3750000, 3875000, 4000000, 4125000, 4250000, 4375000, 4500000, 4625000, 4750000, 4875000, 5000000 ); GO CREATE PARTITION SCHEME PST AS PARTITION PFT ALL TO ([PRIMARY]); There two tables are: CREATE TABLE dbo.T1 ( TID integer NOT NULL IDENTITY(0,1), Column1 integer NOT NULL, Padding binary(100) NOT NULL DEFAULT 0x,   CONSTRAINT PK_T1 PRIMARY KEY CLUSTERED (TID) ON PST (TID) );   CREATE TABLE dbo.T2 ( TID integer NOT NULL, Column1 integer NOT NULL, Padding binary(100) NOT NULL DEFAULT 0x,   CONSTRAINT PK_T2 PRIMARY KEY CLUSTERED (TID, Column1) ON PST (TID) ); The next script loads 5 million rows into T1 with a pseudo-random value between 1 and 5 for Column1. The table is partitioned on the IDENTITY column TID: INSERT dbo.T1 WITH (TABLOCKX) (Column1) SELECT (ABS(CHECKSUM(NEWID())) % 5) + 1 FROM dbo.Numbers AS N WHERE n BETWEEN 1 AND 5000000; In case you don’t already have an auxiliary table of numbers lying around, here’s a script to create one with 10 million rows: CREATE TABLE dbo.Numbers (n bigint PRIMARY KEY);   WITH L0 AS(SELECT 1 AS c UNION ALL SELECT 1), L1 AS(SELECT 1 AS c FROM L0 AS A CROSS JOIN L0 AS B), L2 AS(SELECT 1 AS c FROM L1 AS A CROSS JOIN L1 AS B), L3 AS(SELECT 1 AS c FROM L2 AS A CROSS JOIN L2 AS B), L4 AS(SELECT 1 AS c FROM L3 AS A CROSS JOIN L3 AS B), L5 AS(SELECT 1 AS c FROM L4 AS A CROSS JOIN L4 AS B), Nums AS(SELECT ROW_NUMBER() OVER (ORDER BY (SELECT NULL)) AS n FROM L5) INSERT dbo.Numbers WITH (TABLOCKX) SELECT TOP (10000000) n FROM Nums ORDER BY n OPTION (MAXDOP 1); Table T1 contains data like this: Next we load data into table T2. The relationship between the two tables is that table 2 contains ‘n’ rows for each row in table 1, where ‘n’ is determined by the value in Column1 of table T1. There is nothing particularly special about the data or distribution, by the way. INSERT dbo.T2 WITH (TABLOCKX) (TID, Column1) SELECT T.TID, N.n FROM dbo.T1 AS T JOIN dbo.Numbers AS N ON N.n >= 1 AND N.n <= T.Column1; Table T2 ends up containing about 15 million rows: The primary key for table T2 is a combination of TID and Column1. The data is partitioned according to the value in column TID alone. Partition Distribution The following query shows the number of rows in each partition of table T1: SELECT PartitionID = CA1.P, NumRows = COUNT_BIG(*) FROM dbo.T1 AS T CROSS APPLY (VALUES ($PARTITION.PFT(TID))) AS CA1 (P) GROUP BY CA1.P ORDER BY CA1.P; There are 40 partitions containing 125,000 rows (40 * 125k = 5m rows). The rightmost partition remains empty. The next query shows the distribution for table 2: SELECT PartitionID = CA1.P, NumRows = COUNT_BIG(*) FROM dbo.T2 AS T CROSS APPLY (VALUES ($PARTITION.PFT(TID))) AS CA1 (P) GROUP BY CA1.P ORDER BY CA1.P; There are roughly 375,000 rows in each partition (the rightmost partition is also empty): Ok, that’s the test data done. Test Query and Execution Plan The task is to count the rows resulting from joining tables 1 and 2 on the TID column: SET STATISTICS IO ON; DECLARE @s datetime2 = SYSUTCDATETIME();   SELECT COUNT_BIG(*) FROM dbo.T1 AS T1 JOIN dbo.T2 AS T2 ON T2.TID = T1.TID;   SELECT DATEDIFF(Millisecond, @s, SYSUTCDATETIME()); SET STATISTICS IO OFF; The optimizer chooses a plan using parallel hash join, and partial aggregation: The Plan Explorer plan tree view shows accurate cardinality estimates and an even distribution of rows across threads (click to enlarge the image): With a warm data cache, the STATISTICS IO output shows that no physical I/O was needed, and all 41 partitions were touched: Running the query without actual execution plan or STATISTICS IO information for maximum performance, the query returns in around 2600ms. Execution Plan Analysis The first step toward improving on the execution plan produced by the query optimizer is to understand how it works, at least in outline. The two parallel Clustered Index Scans use multiple threads to read rows from tables T1 and T2. Parallel scan uses a demand-based scheme where threads are given page(s) to scan from the table as needed. This arrangement has certain important advantages, but does result in an unpredictable distribution of rows amongst threads. The point is that multiple threads cooperate to scan the whole table, but it is impossible to predict which rows end up on which threads. For correct results from the parallel hash join, the execution plan has to ensure that rows from T1 and T2 that might join are processed on the same thread. For example, if a row from T1 with join key value ‘1234’ is placed in thread 5’s hash table, the execution plan must guarantee that any rows from T2 that also have join key value ‘1234’ probe thread 5’s hash table for matches. The way this guarantee is enforced in this parallel hash join plan is by repartitioning rows to threads after each parallel scan. The two repartitioning exchanges route rows to threads using a hash function over the hash join keys. The two repartitioning exchanges use the same hash function so rows from T1 and T2 with the same join key must end up on the same hash join thread. Expensive Exchanges This business of repartitioning rows between threads can be very expensive, especially if a large number of rows is involved. The execution plan selected by the optimizer moves 5 million rows through one repartitioning exchange and around 15 million across the other. As a first step toward removing these exchanges, consider the execution plan selected by the optimizer if we join just one partition from each table, disallowing parallelism: SELECT COUNT_BIG(*) FROM dbo.T1 AS T1 JOIN dbo.T2 AS T2 ON T2.TID = T1.TID WHERE $PARTITION.PFT(T1.TID) = 1 AND $PARTITION.PFT(T2.TID) = 1 OPTION (MAXDOP 1); The optimizer has chosen a (one-to-many) merge join instead of a hash join. The single-partition query completes in around 100ms. If everything scaled linearly, we would expect that extending this strategy to all 40 populated partitions would result in an execution time around 4000ms. Using parallelism could reduce that further, perhaps to be competitive with the parallel hash join chosen by the optimizer. This raises a question. If the most efficient way to join one partition from each of the tables is to use a merge join, why does the optimizer not choose a merge join for the full query? Forcing a Merge Join Let’s force the optimizer to use a merge join on the test query using a hint: SELECT COUNT_BIG(*) FROM dbo.T1 AS T1 JOIN dbo.T2 AS T2 ON T2.TID = T1.TID OPTION (MERGE JOIN); This is the execution plan selected by the optimizer: This plan results in the same number of logical reads reported previously, but instead of 2600ms the query takes 5000ms. The natural explanation for this drop in performance is that the merge join plan is only using a single thread, whereas the parallel hash join plan could use multiple threads. Parallel Merge Join We can get a parallel merge join plan using the same query hint as before, and adding trace flag 8649: SELECT COUNT_BIG(*) FROM dbo.T1 AS T1 JOIN dbo.T2 AS T2 ON T2.TID = T1.TID OPTION (MERGE JOIN, QUERYTRACEON 8649); The execution plan is: This looks promising. It uses a similar strategy to distribute work across threads as seen for the parallel hash join. In practice though, performance is disappointing. On a typical run, the parallel merge plan runs for around 8400ms; slower than the single-threaded merge join plan (5000ms) and much worse than the 2600ms for the parallel hash join. We seem to be going backwards! The logical reads for the parallel merge are still exactly the same as before, with no physical IOs. The cardinality estimates and thread distribution are also still very good (click to enlarge): A big clue to the reason for the poor performance is shown in the wait statistics (captured by Plan Explorer Pro): CXPACKET waits require careful interpretation, and are most often benign, but in this case excessive waiting occurs at the repartitioning exchanges. Unlike the parallel hash join, the repartitioning exchanges in this plan are order-preserving ‘merging’ exchanges (because merge join requires ordered inputs): Parallelism works best when threads can just grab any available unit of work and get on with processing it. Preserving order introduces inter-thread dependencies that can easily lead to significant waits occurring. In extreme cases, these dependencies can result in an intra-query deadlock, though the details of that will have to wait for another time to explore in detail. The potential for waits and deadlocks leads the query optimizer to cost parallel merge join relatively highly, especially as the degree of parallelism (DOP) increases. This high costing resulted in the optimizer choosing a serial merge join rather than parallel in this case. The test results certainly confirm its reasoning. Collocated Joins In SQL Server 2008 and later, the optimizer has another available strategy when joining tables that share a common partition scheme. This strategy is a collocated join, also known as as a per-partition join. It can be applied in both serial and parallel execution plans, though it is limited to 2-way joins in the current optimizer. Whether the optimizer chooses a collocated join or not depends on cost estimation. The primary benefits of a collocated join are that it eliminates an exchange and requires less memory, as we will see next. Costing and Plan Selection The query optimizer did consider a collocated join for our original query, but it was rejected on cost grounds. The parallel hash join with repartitioning exchanges appeared to be a cheaper option. There is no query hint to force a collocated join, so we have to mess with the costing framework to produce one for our test query. Pretending that IOs cost 50 times more than usual is enough to convince the optimizer to use collocated join with our test query: -- Pretend IOs are 50x cost temporarily DBCC SETIOWEIGHT(50);   -- Co-located hash join SELECT COUNT_BIG(*) FROM dbo.T1 AS T1 JOIN dbo.T2 AS T2 ON T2.TID = T1.TID OPTION (RECOMPILE);   -- Reset IO costing DBCC SETIOWEIGHT(1); Collocated Join Plan The estimated execution plan for the collocated join is: The Constant Scan contains one row for each partition of the shared partitioning scheme, from 1 to 41. The hash repartitioning exchanges seen previously are replaced by a single Distribute Streams exchange using Demand partitioning. Demand partitioning means that the next partition id is given to the next parallel thread that asks for one. My test machine has eight logical processors, and all are available for SQL Server to use. As a result, there are eight threads in the single parallel branch in this plan, each processing one partition from each table at a time. Once a thread finishes processing a partition, it grabs a new partition number from the Distribute Streams exchange…and so on until all partitions have been processed. It is important to understand that the parallel scans in this plan are different from the parallel hash join plan. Although the scans have the same parallelism icon, tables T1 and T2 are not being co-operatively scanned by multiple threads in the same way. Each thread reads a single partition of T1 and performs a hash match join with the same partition from table T2. The properties of the two Clustered Index Scans show a Seek Predicate (unusual for a scan!) limiting the rows to a single partition: The crucial point is that the join between T1 and T2 is on TID, and TID is the partitioning column for both tables. A thread that processes partition ‘n’ is guaranteed to see all rows that can possibly join on TID for that partition. In addition, no other thread will see rows from that partition, so this removes the need for repartitioning exchanges. CPU and Memory Efficiency Improvements The collocated join has removed two expensive repartitioning exchanges and added a single exchange processing 41 rows (one for each partition id). Remember, the parallel hash join plan exchanges had to process 5 million and 15 million rows. The amount of processor time spent on exchanges will be much lower in the collocated join plan. In addition, the collocated join plan has a maximum of 8 threads processing single partitions at any one time. The 41 partitions will all be processed eventually, but a new partition is not started until a thread asks for it. Threads can reuse hash table memory for the new partition. The parallel hash join plan also had 8 hash tables, but with all 5,000,000 build rows loaded at the same time. The collocated plan needs memory for only 8 * 125,000 = 1,000,000 rows at any one time. Collocated Hash Join Performance The collated join plan has disappointing performance in this case. The query runs for around 25,300ms despite the same IO statistics as usual. This is much the worst result so far, so what went wrong? It turns out that cardinality estimation for the single partition scans of table T1 is slightly low. The properties of the Clustered Index Scan of T1 (graphic immediately above) show the estimation was for 121,951 rows. This is a small shortfall compared with the 125,000 rows actually encountered, but it was enough to cause the hash join to spill to physical tempdb: A level 1 spill doesn’t sound too bad, until you realize that the spill to tempdb probably occurs for each of the 41 partitions. As a side note, the cardinality estimation error is a little surprising because the system tables accurately show there are 125,000 rows in every partition of T1. Unfortunately, the optimizer uses regular column and index statistics to derive cardinality estimates here rather than system table information (e.g. sys.partitions). Collocated Merge Join We will never know how well the collocated parallel hash join plan might have worked without the cardinality estimation error (and the resulting 41 spills to tempdb) but we do know: Merge join does not require a memory grant; and Merge join was the optimizer’s preferred join option for a single partition join Putting this all together, what we would really like to see is the same collocated join strategy, but using merge join instead of hash join. Unfortunately, the current query optimizer cannot produce a collocated merge join; it only knows how to do collocated hash join. So where does this leave us? CROSS APPLY sys.partitions We can try to write our own collocated join query. We can use sys.partitions to find the partition numbers, and CROSS APPLY to get a count per partition, with a final step to sum the partial counts. The following query implements this idea: SELECT row_count = SUM(Subtotals.cnt) FROM ( -- Partition numbers SELECT p.partition_number FROM sys.partitions AS p WHERE p.[object_id] = OBJECT_ID(N'T1', N'U') AND p.index_id = 1 ) AS P CROSS APPLY ( -- Count per collocated join SELECT cnt = COUNT_BIG(*) FROM dbo.T1 AS T1 JOIN dbo.T2 AS T2 ON T2.TID = T1.TID WHERE $PARTITION.PFT(T1.TID) = p.partition_number AND $PARTITION.PFT(T2.TID) = p.partition_number ) AS SubTotals; The estimated plan is: The cardinality estimates aren’t all that good here, especially the estimate for the scan of the system table underlying the sys.partitions view. Nevertheless, the plan shape is heading toward where we would like to be. Each partition number from the system table results in a per-partition scan of T1 and T2, a one-to-many Merge Join, and a Stream Aggregate to compute the partial counts. The final Stream Aggregate just sums the partial counts. Execution time for this query is around 3,500ms, with the same IO statistics as always. This compares favourably with 5,000ms for the serial plan produced by the optimizer with the OPTION (MERGE JOIN) hint. This is another case of the sum of the parts being less than the whole – summing 41 partial counts from 41 single-partition merge joins is faster than a single merge join and count over all partitions. Even so, this single-threaded collocated merge join is not as quick as the original parallel hash join plan, which executed in 2,600ms. On the positive side, our collocated merge join uses only one logical processor and requires no memory grant. The parallel hash join plan used 16 threads and reserved 569 MB of memory:   Using a Temporary Table Our collocated merge join plan should benefit from parallelism. The reason parallelism is not being used is that the query references a system table. We can work around that by writing the partition numbers to a temporary table (or table variable): SET STATISTICS IO ON; DECLARE @s datetime2 = SYSUTCDATETIME();   CREATE TABLE #P ( partition_number integer PRIMARY KEY);   INSERT #P (partition_number) SELECT p.partition_number FROM sys.partitions AS p WHERE p.[object_id] = OBJECT_ID(N'T1', N'U') AND p.index_id = 1;   SELECT row_count = SUM(Subtotals.cnt) FROM #P AS p CROSS APPLY ( SELECT cnt = COUNT_BIG(*) FROM dbo.T1 AS T1 JOIN dbo.T2 AS T2 ON T2.TID = T1.TID WHERE $PARTITION.PFT(T1.TID) = p.partition_number AND $PARTITION.PFT(T2.TID) = p.partition_number ) AS SubTotals;   DROP TABLE #P;   SELECT DATEDIFF(Millisecond, @s, SYSUTCDATETIME()); SET STATISTICS IO OFF; Using the temporary table adds a few logical reads, but the overall execution time is still around 3500ms, indistinguishable from the same query without the temporary table. The problem is that the query optimizer still doesn’t choose a parallel plan for this query, though the removal of the system table reference means that it could if it chose to: In fact the optimizer did enter the parallel plan phase of query optimization (running search 1 for a second time): Unfortunately, the parallel plan found seemed to be more expensive than the serial plan. This is a crazy result, caused by the optimizer’s cost model not reducing operator CPU costs on the inner side of a nested loops join. Don’t get me started on that, we’ll be here all night. In this plan, everything expensive happens on the inner side of a nested loops join. Without a CPU cost reduction to compensate for the added cost of exchange operators, candidate parallel plans always look more expensive to the optimizer than the equivalent serial plan. Parallel Collocated Merge Join We can produce the desired parallel plan using trace flag 8649 again: SELECT row_count = SUM(Subtotals.cnt) FROM #P AS p CROSS APPLY ( SELECT cnt = COUNT_BIG(*) FROM dbo.T1 AS T1 JOIN dbo.T2 AS T2 ON T2.TID = T1.TID WHERE $PARTITION.PFT(T1.TID) = p.partition_number AND $PARTITION.PFT(T2.TID) = p.partition_number ) AS SubTotals OPTION (QUERYTRACEON 8649); The actual execution plan is: One difference between this plan and the collocated hash join plan is that a Repartition Streams exchange operator is used instead of Distribute Streams. The effect is similar, though not quite identical. The Repartition uses round-robin partitioning, meaning the next partition id is pushed to the next thread in sequence. The Distribute Streams exchange seen earlier used Demand partitioning, meaning the next partition id is pulled across the exchange by the next thread that is ready for more work. There are subtle performance implications for each partitioning option, but going into that would again take us too far off the main point of this post. Performance The important thing is the performance of this parallel collocated merge join – just 1350ms on a typical run. The list below shows all the alternatives from this post (all timings include creation, population, and deletion of the temporary table where appropriate) from quickest to slowest: Collocated parallel merge join: 1350ms Parallel hash join: 2600ms Collocated serial merge join: 3500ms Serial merge join: 5000ms Parallel merge join: 8400ms Collated parallel hash join: 25,300ms (hash spill per partition) The parallel collocated merge join requires no memory grant (aside from a paltry 1.2MB used for exchange buffers). This plan uses 16 threads at DOP 8; but 8 of those are (rather pointlessly) allocated to the parallel scan of the temporary table. These are minor concerns, but it turns out there is a way to address them if it bothers you. Parallel Collocated Merge Join with Demand Partitioning This final tweak replaces the temporary table with a hard-coded list of partition ids (dynamic SQL could be used to generate this query from sys.partitions): SELECT row_count = SUM(Subtotals.cnt) FROM ( VALUES (1),(2),(3),(4),(5),(6),(7),(8),(9),(10), (11),(12),(13),(14),(15),(16),(17),(18),(19),(20), (21),(22),(23),(24),(25),(26),(27),(28),(29),(30), (31),(32),(33),(34),(35),(36),(37),(38),(39),(40),(41) ) AS P (partition_number) CROSS APPLY ( SELECT cnt = COUNT_BIG(*) FROM dbo.T1 AS T1 JOIN dbo.T2 AS T2 ON T2.TID = T1.TID WHERE $PARTITION.PFT(T1.TID) = p.partition_number AND $PARTITION.PFT(T2.TID) = p.partition_number ) AS SubTotals OPTION (QUERYTRACEON 8649); The actual execution plan is: The parallel collocated hash join plan is reproduced below for comparison: The manual rewrite has another advantage that has not been mentioned so far: the partial counts (per partition) can be computed earlier than the partial counts (per thread) in the optimizer’s collocated join plan. The earlier aggregation is performed by the extra Stream Aggregate under the nested loops join. The performance of the parallel collocated merge join is unchanged at around 1350ms. Final Words It is a shame that the current query optimizer does not consider a collocated merge join (Connect item closed as Won’t Fix). The example used in this post showed an improvement in execution time from 2600ms to 1350ms using a modestly-sized data set and limited parallelism. In addition, the memory requirement for the query was almost completely eliminated  – down from 569MB to 1.2MB. The problem with the parallel hash join selected by the optimizer is that it attempts to process the full data set all at once (albeit using eight threads). It requires a large memory grant to hold all 5 million rows from table T1 across the eight hash tables, and does not take advantage of the divide-and-conquer opportunity offered by the common partitioning. The great thing about the collocated join strategies is that each parallel thread works on a single partition from both tables, reading rows, performing the join, and computing a per-partition subtotal, before moving on to a new partition. From a thread’s point of view… If you have trouble visualizing what is happening from just looking at the parallel collocated merge join execution plan, let’s look at it again, but from the point of view of just one thread operating between the two Parallelism (exchange) operators. Our thread picks up a single partition id from the Distribute Streams exchange, and starts a merge join using ordered rows from partition 1 of table T1 and partition 1 of table T2. By definition, this is all happening on a single thread. As rows join, they are added to a (per-partition) count in the Stream Aggregate immediately above the Merge Join. Eventually, either T1 (partition 1) or T2 (partition 1) runs out of rows and the merge join stops. The per-partition count from the aggregate passes on through the Nested Loops join to another Stream Aggregate, which is maintaining a per-thread subtotal. Our same thread now picks up a new partition id from the exchange (say it gets id 9 this time). The count in the per-partition aggregate is reset to zero, and the processing of partition 9 of both tables proceeds just as it did for partition 1, and on the same thread. Each thread picks up a single partition id and processes all the data for that partition, completely independently from other threads working on other partitions. One thread might eventually process partitions (1, 9, 17, 25, 33, 41) while another is concurrently processing partitions (2, 10, 18, 26, 34) and so on for the other six threads at DOP 8. The point is that all 8 threads can execute independently and concurrently, continuing to process new partitions until the wider job (of which the thread has no knowledge!) is done. This divide-and-conquer technique can be much more efficient than simply splitting the entire workload across eight threads all at once. Related Reading Understanding and Using Parallelism in SQL Server Parallel Execution Plans Suck © 2013 Paul White – All Rights Reserved Twitter: @SQL_Kiwi

    Read the article

  • Resuming blogging activities and a maths question

    - by ali.mukadam
    Resuming my blogging activities and unlike Dumbledore, I do not have a pensieve to review my thoughts and put them in order. On the other hand, thinking of maths problems somehow seem to make them clearer. So before I start writing long-winding blog posts, here's one I was given 16 years ago: The length of a rectangle is 6 cm smaller than its width. If the area of the rectangle is 16, what is its perimeter? Hint: Solvable in 5 lines or less. Cheers, Ali

    Read the article

  • Silverlight Cream for May 17, 2010 -- #863

    - by Dave Campbell
    In this Issue: Christian Schormann, Vladimir Bodurov, Pete Brown, Justin Angel, John Papa(-2-), Fons Sonnemans, Miroslav Miroslavov, and Jeremy Likness. Shoutouts: Jeff Brand has been doing WP7 presentations and posted Windows Phone 7 Presentation and Sample Code Mark Tucker posted about his Windows Phone 7 Presentation at Desert Code Camp 2010 John Allwright discusses 4 New case Studies on Silverlight at the Winter Olympics From SilverlightCream.com: New Video by Jon Harris: Blend 4 for Windows Phone in 90 Seconds Christian Schormann is discussing a second 90-second Expression Blend video tutorial by Jon Harris... this second one is about Blend 4 for WP7. XmlCodeEditor – Silverlight 4 control for editing XML and HTML on the browser Vladimir Bodurov has a post up extending the RichTextBox control to add coloring for HTML and XAML ... it colors as you type, and he plans on adding Intellisense! Creating a Simple Report Writer in Silverlight 4 While working on his book, Pete Brown decided to share some Silverlight 'Report Writer' work with us... check out that list of goals near the top that are all met... looks great to me! Windows Phone 7 - Unlocked ROMs Justin Angel has a good long post about a subject I've stayed away from until now that someone of Justin's level of knowledge has approached it: WP7 ROMs. Silverlight 4 Tools for Visual Studio 2010 Launch: New Designer Capabilities (Silverlight TV 27) John Papa has Silverlight TV 27 up today and is talking about the Silverlight 4 Tools for VS2010 launch with Mark Wilson-Thomas ... the video would be a great place to pick up some of the new features (hint, hint) WCF RIA Services v1.0 Launch! (Silverlight TV 28) John Papa also has Silverlight TV 28 up, talking with Nikhil Kothari and Dinesh Kulkarni about the v 1.0 release of WCF RIA Services. RightMouseTrigger Fons Sonnemans updated his MineSweeper game and has it posted at Silver Arcade, this version supports right mouse click via RightMouseTrigger code that he is sharing. Smoke effect The 'Smoke Effect' menus at the CompleteIT site are awesome, and this time out, Miroslav Miroslavov discusses how that was done and gives up the code...! WebClient and DeploymentCatalog gotchas in Silverlight OOB Jeremy Likness has a post up to give you some relief if you hit the same MEF/Silverlight gotcha he did when running OOB... like not running in OOB for instance. Stay in the 'Light! Twitter SilverlightNews | Twitter WynApse | WynApse.com | Tagged Posts | SilverlightCream Join me @ SilverlightCream | Phoenix Silverlight User Group Technorati Tags: Silverlight    Silverlight 3    Silverlight 4    Windows Phone MIX10

    Read the article

  • SQL SERVER – DMV – sys.dm_exec_query_optimizer_info – Statistics of Optimizer

    - by pinaldave
    Incredibly, SQL Server has so much information to share with us. Every single day, I am amazed with this SQL Server technology. Sometimes I find several interesting information by just querying few of the DMV. And when I present this info in front of my client during performance tuning consultancy, they are surprised with my findings. Today, I am going to share one of the hidden gems of DMV with you, the one which I frequently use to understand what’s going on under the hood of SQL Server. SQL Server keeps the record of most of the operations of the Query Optimizer. We can learn many interesting details about the optimizer which can be utilized to improve the performance of server. SELECT * FROM sys.dm_exec_query_optimizer_info WHERE counter IN ('optimizations', 'elapsed time','final cost', 'insert stmt','delete stmt','update stmt', 'merge stmt','contains subquery','tables', 'hints','order hint','join hint', 'view reference','remote query','maximum DOP', 'maximum recursion level','indexed views loaded', 'indexed views matched','indexed views used', 'indexed views updated','dynamic cursor request', 'fast forward cursor request') All occurrence values are cumulative and are set to 0 at system restart. All values for value fields are set to NULL at system restart. I have removed a few of the internal counters from the script above, and kept only documented details. Let us check the result of the above query. As you can see, there is so much vital information that is revealed in above query. I can easily say so many things about how many times Optimizer was triggered and what the average time taken by it to optimize my queries was. Additionally, I can also determine how many times update, insert or delete statements were optimized. I was able to quickly figure out that my client was overusing the Query Hints using this dynamic management view. If you have been reading my blog, I am sure you are aware of my series related to SQL Server Views SQL SERVER – The Limitations of the Views – Eleven and more…. With this, I can take a quick look and figure out how many times Views were used in various solutions within the query. Moreover, you can easily know what fraction of the optimizations has been involved in tuning server. For example, the following query would tell me, in total optimizations, what the fraction of time View was “reference“. As this View also includes system Views and DMVs, the number is a bit higher on my machine. SELECT (SELECT CAST (occurrence AS FLOAT) FROM sys.dm_exec_query_optimizer_info WHERE counter = 'view reference') / (SELECT CAST (occurrence AS FLOAT) FROM sys.dm_exec_query_optimizer_info WHERE counter = 'optimizations') AS ViewReferencedFraction Reference : Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL DMV, SQL Optimization, SQL Performance, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, SQLServer, T SQL, Technology

    Read the article

< Previous Page | 1 2 3 4 5 6 7 8 9 10 11 12  | Next Page >