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  • Enable Automatic Code First Migrations On SQL Database in Azure Web Sites

    - by Steve Michelotti
    Now that Azure supports .NET Framework 4.5, you can use all the latest and greatest available features. A common scenario is to be able to use Entity Framework Code First Migrations with a SQL Database in Azure. Prior to Code First Migrations, Entity Framework provided database initializers. While convenient for demos and prototypes, database initializers weren’t useful for much beyond that because, if you delete and re-create your entire database when the schema changes, you lose all of your operational data. This is the void that Migrations are meant to fill. For example, if you add a column to your model, Migrations will alter the database to add the column rather than blowing away the entire database and re-creating it from scratch. Azure is becoming increasingly easier to use – especially with features like Azure Web Sites. Being able to use Entity Framework Migrations in Azure makes deployment easier than ever. In this blog post, I’ll walk through enabling Automatic Code First Migrations on Azure. I’ll use the Simple Membership provider for my example. First, we’ll create a new Azure Web site called “migrationstest” including creating a new SQL Database along with it:   Next we’ll go to the web site and download the publish profile:   In the meantime, we’ve created a new MVC 4 website in Visual Studio 2012 using the “Internet Application” template. This template is automatically configured to use the Simple Membership provider. We’ll do our initial Publish to Azure by right-clicking our project and selecting “Publish…”. From the “Publish Web” dialog, we’ll import the publish profile that we downloaded in the previous step:   Once the site is published, we’ll just click the “Register” link from the default site. Since the AccountController is decorated with the [InitializeSimpleMembership] attribute, the initializer will be called and the initial database is created.   We can verify this by connecting to our SQL Database on Azure with SQL Management Studio (after making sure that our local IP address is added to the list of Allowed IP Addresses in Azure): One interesting note is that these tables got created with the default Entity Framework initializer – which is to create the database if it doesn’t already exist. However, our database did already exist! This is because there is a new feature of Entity Framework 5 where Code First will add tables to an existing database as long as the target database doesn’t contain any of the tables from the model. At this point, it’s time to enable Migrations. We’ll open the Package Manger Console and execute the command: PM> Enable-Migrations -EnableAutomaticMigrations This will enable automatic migrations for our project. Because we used the "-EnableAutomaticMigrations” switch, it will create our Configuration class with a constructor that sets the AutomaticMigrationsEnabled property set to true: 1: public Configuration() 2: { 3: AutomaticMigrationsEnabled = true; 4: } We’ll now add our initial migration: PM> Add-Migration Initial This will create a migration class call “Initial” that contains the entire model. But we need to remove all of this code because our database already exists so we are just left with empty Up() and Down() methods. 1: public partial class Initial : DbMigration 2: { 3: public override void Up() 4: { 5: } 6: 7: public override void Down() 8: { 9: } 10: } If we don’t remove this code, we’ll get an exception the first time we attempt to run migrations that tells us: “There is already an object named 'UserProfile' in the database”. This blog post by Julie Lerman fully describes this scenario (i.e., enabling migrations on an existing database). Our next step is to add the Entity Framework initializer that will automatically use Migrations to update the database to the latest version. We will add these 2 lines of code to the Application_Start of the Global.asax: 1: Database.SetInitializer(new MigrateDatabaseToLatestVersion<UsersContext, Configuration>()); 2: new UsersContext().Database.Initialize(false); Note the Initialize() call will force the initializer to run if it has not been run before. At this point, we can publish again to make sure everything is still working as we are expecting. This time we’re going to specify in our publish profile that Code First Migrations should be executed:   Once we have re-published we can once again navigate to the Register page. At this point the database has not been changed but Migrations is now enabled on our SQL Database in Azure. We can now customize our model. Let’s add 2 new properties to the UserProfile class – Email and DateOfBirth: 1: [Table("UserProfile")] 2: public class UserProfile 3: { 4: [Key] 5: [DatabaseGeneratedAttribute(DatabaseGeneratedOption.Identity)] 6: public int UserId { get; set; } 7: public string UserName { get; set; } 8: public string Email { get; set; } 9: public DateTime DateOfBirth { get; set; } 10: } At this point all we need to do is simply re-publish. We’ll once again navigate to the Registration page and, because we had Automatic Migrations enabled, the database has been altered (*not* recreated) to add our 2 new columns. We can verify this by once again looking at SQL Management Studio:   Automatic Migrations provide a quick and easy way to keep your database in sync with your model without the worry of having to re-create your entire database and lose data. With Azure Web Sites you can set up automatic deployment with Git or TFS and automate the entire process to make it dead simple.

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  • Fixing up Visual Studio&rsquo;s gitignore , using IFix

    - by terje
    Originally posted on: http://geekswithblogs.net/terje/archive/2014/06/13/fixing-up-visual-studiorsquos-gitignore--using-ifix.aspxDownload tool Is there anything wrong with the built-in Visual Studio gitignore ???? Yes, there is !  First, some background: When you set up a git repo, it should be small and not contain anything not really needed.  One thing you should not have in your git repo is binary files. These binary files may come from two sources, one is the output files, in the bin and obj folders.  If you have a  gitignore file present, which you should always have (!!), these folders are excluded by the standard included file (the one included when you choose Team Explorer/Settings/GitIgnore – Add.) The other source are the packages folder coming from your NuGet setup.  You do use NuGet, right ?  Of course you do !  But, that gitignore file doesn’t have any exclude clause for those folders.  You have to add that manually.  (It will very probably be included in some upcoming update or release).  This is one thing that is missing from the built-in gitignore. To add those few lines is a no-brainer, you just include this: # NuGet Packages packages/* *.nupkg # Enable "build/" folder in the NuGet Packages folder since # NuGet packages use it for MSBuild targets. # This line needs to be after the ignore of the build folder # (and the packages folder if the line above has been uncommented) !packages/build/ Now, if you are like me, and you probably are, you add git repo’s faster than you can code, and you end up with a bunch of repo’s, and then start to wonder: Did I fix up those gitignore files, or did I forget it? The next thing you learn, for example by reading this blog post, is that the “standard” latest Visual Studio gitignore file exist at https://github.com/github/gitignore, and you locate it under the file name VisualStudio.gitignore.  Here you will find all the new stuff, for example, the exclusion of the roslyn ide folders was commited on May 24th.  So, you think, all is well, Visual Studio will use this file …..     I am very sorry, it won’t. Visual Studio comes with a gitignore file that is baked into the release, and that is by this time “very old”.  The one at github is the latest.  The included gitignore miss the exclusion of the nuget packages folder, it also miss a lot of new stuff, like the Roslyn stuff. So, how do you fix this ?  … note .. while we wait for the next version… You can manually update it for every single repo you create, which works, but it does get boring after a few times, doesn’t it ? IFix Enter IFix ,  install it from here. IFix is a command line utility (and the installer adds it to the system path, you might need to reboot), and one of the commands is gitignore If you run it from a directory, it will check and optionally fix all gitignores in all git repo’s in that folder or below.  So, start up by running it from your C:/<user>/source/repos folder. To run it in check mode – which will not change anything, just do a check: IFix  gitignore --check What it will do is to check if the gitignore file is present, and if it is, check if the packages folder has been excluded.  If you want to see those that are ok, add the --verbose command too.  The result may look like this: Fixing missing packages Let us fix a single repo by adding the missing packages structure,  using IFix --fix We first check, then fix, then check again to verify that the gitignore is correct, and that the “packages/” part has been added. If we open up the .gitignore, we see that the block shown below has been added to the end of the .gitignore file.   Comparing and fixing with latest standard Visual Studio gitignore (from github) Now, this tells you if you miss the nuget packages folder, but what about the latest gitignore from github ? You can check for this too, just add the option –merge (why this is named so will be clear later down) So, IFix gitignore --check –merge The result may come out like this  (sorry no colors, not got that far yet here): As you can see, one repo has the latest gitignore (test1), the others are missing either 57 or 150 lines.  IFix has three ways to fix this: --add --merge --replace The options work as follows: Add:  Used to add standard gitignore in the cases where a .gitignore file is missing, and only that, that means it won’t touch other existing gitignores. Merge: Used to merge in the missing lines from the standard into the gitignore file.  If gitignore file is missing, the whole standard will be added. Replace: Used to force a complete replacement of the existing gitignore with the standard one. The Add and Replace options can be used without Fix, which means they will actually do the action. If you combine with --check it will otherwise not touch any files, just do a verification.  So a Merge Check will  tell you if there is any difference between the local gitignore and the standard gitignore, a Compare in effect. When you do a Fix Merge it will combine the local gitignore with the standard, and add what is missing to the end of the local gitignore. It may mean some things may be doubled up if they are spelled a bit differently.  You might also see some extra comments added, but they do no harm. Init new repo with standard gitignore One cool thing is that with a new repo, or a repo that is missing its gitignore, you can grab the latest standard just by using either the Add or the Replace command, both will in effect do the same in this case. So, IFix gitignore --add will add it in, as in the complete example below, where we set up a new git repo and add in the latest standard gitignore: Notes The project is open sourced at github, and you can also report issues there.

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  • Interview with Tomas Ulin at the MySQL Innovation Day

    - by Monica Kumar
    MySQL Innovation Day held on June 5, 2012 was a great event for the MySQL engineers, users and customers to gather, share and network. I was able to get a few minutes with Tomas Ulin, Vice President of MySQL Engineering at Oracle, to ask him some questions. Here are the highlights of my interview with Tomas. Monica: This was the first MySQL Innovation Day, correct?  Why now, what was the strategy behind hosting this kind of event? Tomas: In the last year, we have rolled out an incredible number of MySQL events worldwide – some targeted at developers that are new to MySQL and others for the MySQL savvy. At the MySQL Innovation Day, our first event of this kind,, we had a number of our key engineers presenting lightning talks delivering previews of key new features as well as discussing roadmap. Our goal is to keep an open dialogue with the MySQL community. In fact, we are hosting a two-day conference, another first, for the MySQL community called MySQL Connect on Sept. 29-30 in San Francisco. If you attended the MySQL Innovation Day and liked what we did, you are going to love MySQL Connect. We’ll have a lot more of our engineers and many users and community members presenting hour long sessions and hands on labs. Our engineers will be presenting new MySQL features as well offer previews of upcoming enhancements. Monica: What's the big take-away from today's MySQL Innovation Day? Tomas: I hope the most important takeaway for attendees was to see that Oracle has been driving, and continues to drive MySQL innovation with a steady stream of new great GA and Development Milestone releases. Monica: What were attendees most interested in? What feedback did they have? Tomas: Feedback from attendees was incredibly positive and encouraging. In particular, they liked the interaction with the MySQL engineers and were also excited about the new early access features in MySQL 5.6 and MySQL Cluster 7.3. In addition, sessions delivered by MySQL users like Facebook, Pinterest and Twitter were very well received. For example, Pinterest talked about using MySQL to scale from 0 to billions of page views/month, Twitter talked about “Scaling twitter with MySQL” and Facebook discussed the many options to implement MySQL master failover solutions. The presentations are already available for download while some of the session videos will be made available on the MySQL Innovation Day web page shortly. Monica: How would you distinguish the use of MySQL vs. Oracle Database? What key factors should customers consider? Tomas: MySQL and Oracle Database complement each other. They are very different products, best suited to different use cases. Customers can choose world-class solutions from Oracle to fulfill a variety of needs. MySQL is a great choice for enterprise web-based, custom and embedded apps. Oracle Database is the leading choice for enterprise packaged applications such as ERP, CRM as well as high-end data warehousing and business intelligence applications. Monica: What are the highlights of the current MySQL 5.6 Development Milestone Release and early access features for MySQL Cluster 7.3? Tomas: MySQL 5.6 development milestone release builds on MySQL 5.5 by improving: Optimizer for better Performance, Scalability Performance Schema for better instrumentation InnoDB for better transactional throughput Replication for higher availability, data integrity NoSQL options for more flexibility We announced some new early access features in MySQL 5.6, including binary log group commit. We also announced early access features in MySQL Cluster 7.3 including support for foreign key constraints. Monica: How do people get these releases? Tomas: You can access development milestone releases by going to: http://dev.mysql.com/downloads/mysqlThen select the “Development Release” tab. The MySQL Cluster 7.3 and other early access features can be downloaded at: http://labs.mysql.com Monica: What's coming up next for MySQL? Tomas: Our development team is working in overdrive, cranking out new features with community feedback. Don’t miss the MySQL Connect conference being held in San Francisco on Sept. 29 and 30th. My team and I will be there. I hope you can join us! Monica: Thank you for your time, Tomas. I look forward to seeing you at the MySQL Connect conference. To our followers, I hope you found this interview informative. I welcome your comments. Please stay tuned here for more updates on MySQL. Note: Monica Kumar is Senior Director of product marketing for Linux, Virtualization and MySQL at Oracle.

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  • Using C# 4.0’s DynamicObject as a Stored Procedure Wrapper

    - by EltonStoneman
    [Source: http://geekswithblogs.net/EltonStoneman] Overview Ignoring the fashion, I still make a lot of use of DALs – typically when inheriting a codebase with an established database schema which is full of tried and trusted stored procedures. In the DAL a collection of base classes have all the scaffolding, so the usual pattern is to create a wrapper class for each stored procedure, giving typesafe access to parameter values and output. DAL calls then looks like instantiate wrapper-populate parameters-execute call:       using (var sp = new uspGetManagerEmployees())     {         sp.ManagerID = 16;         using (var reader = sp.Execute())         {             //map entities from the output         }     }   Or rolling it all into a fluent DAL call – which is nicer to read and implicitly disposes the resources:   This is fine, the wrapper classes are very simple to handwrite or generate. But as the codebase grows, you end up with a proliferation of very small wrapper classes: The wrappers don't add much other than encapsulating the stored procedure call and giving you typesafety for the parameters. With the dynamic extension in .NET 4.0 you have the option to build a single wrapper class, and get rid of the one-to-one stored procedure to wrapper class mapping. In the dynamic version, the call looks like this:       dynamic getUser = new DynamicSqlStoredProcedure("uspGetManagerEmployees", Database.AdventureWorks);     getUser.ManagerID = 16;       var employees = Fluently.Load<List<Employee>>()                             .With<EmployeeMap>()                             .From(getUser);   The important difference is that the ManagerId property doesn't exist in the DynamicSqlStoredProcedure class. Declaring the getUser object with the dynamic keyword allows you to dynamically add properties, and the DynamicSqlStoredProcedure class intercepts when properties are added and builds them as stored procedure parameters. When getUser.ManagerId = 16 is executed, the base class adds a parameter call (using the convention that parameter name is the property name prefixed by "@"), specifying the correct SQL Server data type (mapping it from the type of the value the property is set to), and setting the parameter value. Code Sample This is worked through in a sample project on github – Dynamic Stored Procedure Sample – which also includes a static version of the wrapper for comparison. (I'll upload this to the MSDN Code Gallery once my account has been resurrected). Points worth noting are: DynamicSP.Data – database-independent DAL that has all the data plumbing code. DynamicSP.Data.SqlServer – SQL Server DAL, thin layer on top of the generic DAL which adds SQL Server specific classes. Includes the DynamicSqlStoredProcedure base class. DynamicSqlStoredProcedure.TrySetMember. Invoked when a dynamic member is added. Assumes the property is a parameter named after the SP parameter name and infers the SqlDbType from the framework type. Adds a parameter to the internal stored procedure wrapper and sets its value. uspGetManagerEmployees – the static version of the wrapper. uspGetManagerEmployeesTest – test fixture which shows usage of the static and dynamic stored procedure wrappers. The sample uses stored procedures from the AdventureWorks database in the SQL Server 2008 Sample Databases. Discussion For this scenario, the dynamic option is very favourable. Assuming your DAL is itself wrapped by a higher layer, the stored procedure wrapper classes have very little reuse. Even if you're codegening the classes and test fixtures, it's still additional effort for very little value. The main consideration with dynamic classes is that the compiler ignores all the members you use, and evaluation only happens at runtime. In this case where scope is strictly limited that's not an issue – but you're relying on automated tests rather than the compiler to find errors, but that should just encourage better test coverage. Also you can codegen the dynamic calls at a higher level. Performance may be a consideration, as there is a first-time-use overhead when the dynamic members of an object are bound. For a single run, the dynamic wrapper took 0.2 seconds longer than the static wrapper. The framework does a good job of caching the effort though, so for 1,000 calls the dynamc version still only takes 0.2 seconds longer than the static: You don't get IntelliSense on dynamic objects, even for the declared members of the base class, and if you've been using class names as keys for configuration settings, you'll lose that option if you move to dynamics. The approach may make code more difficult to read, as you can't navigate through dynamic members, but you do still get full debugging support.     var employees = Fluently.Load<List<Employee>>()                             .With<EmployeeMap>()                             .From<uspGetManagerEmployees>                             (                                 i => i.ManagerID = 16,                                 x => x.Execute()                             );

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  • Oracle Open World 2012: SQL Developer Recap

    - by thatjeffsmith
    Last week was the ‘big show’ in San Francisco. I was very happy to meet many of you in person. And many of you had questions – lots of questions! We had full or overflowing rooms for our sessions and hands-on-labs. The SQL Developer ‘booths’ were also slammed several times. So exciting to see so many of YOU excited about SQL Developer. It’s very cool to hear the stories of our tools saving you and your organizations so much time (and money!) Instead of doing a Day 0 – Day 9 recap, I thought I’d share with you the questions that I heard more than once. And just for giggles, I’ll throw in some answers as well So in no particular order… What’s the difference between Oracle SQL Developer & Oracle SQL Developer Data Modeler? Mathematically speaking – two words. But as far as the actual modeling features go, there’s no difference between the two applications. The same ‘code’ or features as it pertains to data modeling and design are in both tools. However, in SQL Developer you have all of the OTHER features fighting for real estate in the UI. So I have a general rule of thumb – if you spend MOST of your time in the database, use SQL Developer. And if you spend most of your time in the data model, run the separate and dedicated program, Oracle SQL Developer Data Modeler. Here’s a couple of screenshots to drive home the UI point: Oracle SQL Developer Oracle SQL Developer Data Modeler running INSIDE of SQL Developer. Notice how the Modeler menu items fold under the file menu? Oracle SQL Developer Data Modeler Easier to navigate and manipulate your models with the stand alone modeler. Just no worksheet to run your ad-hoc queries, etc. Don’t forget you can disable the Data Modeler inside of SQL Developer via the Extensions preference page. How can I model my table partitions? Partitioning is defined via the Physical model. So after you have finished your relational model, you need to generate a physical model. Oracle SQL Developer Data Modeler Physical Model and Partitioning Open the properties for your physical model table. Enable the ‘partitioned’ property. Once you do so, the ‘Partitioning’ page will activate. Lots and lots of partitioning support and options here But what about Interval Partitioning? An extension of range partitioning in 11gR2, we don’t currently support this partitioning scheme in SQL Developer. But we’re working on it! Can SQL Developer ignore column order when comparing models? Yes! After you start a model compare, one of your options is to disregard the order of an attribute or column definition. Tell SQL Developer you don’t care when your column shows up, just as long as it DOES show up. Wow, you got a lot of questions around modeling! Is that normal? Yes! While we appreciate that many folks inherit their applications and associated designs, new applications are being ‘born’ every day. Since both of our tools are free for anyone to design their new Oracle applications with, we attract a fair amount of attention I want to do a Hands On Lab. How do I get your software and instructional guides? Go here. Download VirtualBox. Then download the VB image. Import the appliance. Start it. Connect oracle/oracle on the OEL VM. Click on ‘Start Here’ in the desktop. Follow the instructions. If you need help, ask away! You went too fast in your Tips & Tricks session. Do you have cliff notes? Yes! And you’re SO close to finding them! Just go to my SQL Developer resources page. All of my tips are documented on this blog somewhere. I’ve indexed the most popular ones on the resource page. You can use the Search dialog on the right to find the rest. Or just send me a comment or question, and I’ll do my best to answer them as they come in.

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  • Using Oracle ADF Data Visualization Tools (DVT) Line Graphs to Display Weather Information

    - by Christian David Straub
    OverviewA guest post by Jeanne Waldman.I have a simple JDeveloper Fusion application that retrieves weather data. I wanted to compare the week's temperatures of different locations in a graph. I decided to check out the dvt:lineGraph component, and it took me a few minutes to add it to my jspx page and supply it with data.Drag and Drop the dvt:lineGraph onto your pageI opened my .jspx page in design modeIn the Component Palette, I selected ADF Data Visualization.Then I dragged 'Line' onto my page.A dialog popped up giving me options of the type of line graph. I chose the default.A lineGraph displayed with some default data. Hook up your weather dataNow I wanted to hook up my own data. I browsed the tagdoc, and I found the tabularData attribute.Attribute: tabularDataType: java.util.ListTagDoc:Specifies a list of data that the graph uses to create a grid and populate itself. The List consists of a three-member Object array for each data value to be passed to the graph. The members of each array must be organized as follows: The first member (index 0) is the column label, in the grid, of the data value. This is generally a String. If the graph has a time axis, then this should be a Java Date. Column labels typically identify groups in the graph. The second member (index 1) is the row label, in the grid, of the data value. This is generally a String. Row labels appear as series labels in the graph (usually in the legend). The third member (index 2) is the data value, which is usually a Double.The first member is the column label of the data value. This would be the day of the week.The second member is the row label of the data value. This would be the location name.The third member is the data value, usually a Double. This would be the temperature. I already had all this information, I just needed to put it in a List with a three-member Object array for each data value.   /**    * This is used for the lineGraph to show the data for each location.    */   public List<Object[]> getTabularData()   {      List<Object[]> tabularData = new ArrayList<Object []>();      List<WeatherForecast> weatherForecastList = getWeatherForecastList();      // loop through the list and build up the tabular data. Then cache it.      for(WeatherForecast wf : weatherForecastList)      {        List<ForecastDay> forecastDayList = wf.getForecastDayList();        String location = wf.getLocation();        for (ForecastDay fday : forecastDayList)        {          String day = fday.getPrettyDate();          String highTemp = fday.getHighF();          tabularData.add(new Object[]{day, location, Double.valueOf(highTemp)});        }             }      return tabularData;    }  Now I bound the lineGraph to this method by setting tabularData to#{weatherForAllLocationsBean.tabularData}weatherForAllLocationsBean is my bean that is defined in faces-config.xml. Adding a barGraphIn about 30 seconds, I added a barGraph with the same data. I dragged and dropped a bar graph onto the page, used the same tabularData as I did in the line graph. The page looks like this:  ConclusionI was very happy how fast it was to hook up my weather data to these graphs. They look great, and they have built in functionality. For instance, I can hide/show a location by clicking on the name of the location in the legend.

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  • Trace File Source Adapter

    The Trace File Source adapter is a useful addition to your SSIS toolbox.  It allows you to read 2005 and 2008 profiler traces stored as .trc files and read them into the Data Flow.  From there you can perform filtering and analysis using the power of SSIS. There is no need for a SQL Server connection this just uses the trace file. Example Usages Cache warming for SQL Server Analysis Services Reading the flight recorder Find out the longest running queries on a server Analyze statements for CPU, memory by user or some other criteria you choose Properties The Trace File Source adapter has two properties, both of which combine to control the source trace file that is read at runtime. SQL Server 2005 and SQL Server 2008 trace files are supported for both the Database Engine (SQL Server) and Analysis Services. The properties are managed by the Editor form or can be set directly from the Properties Grid in Visual Studio. Property Type Description AccessMode Enumeration This property determines how the Filename property is interpreted. The values available are: DirectInput Variable Filename String This property holds the path for trace file to load (*.trc). The value is either a full path, or the name of a variable which contains the full path to the trace file, depending on the AccessMode property. Trace Column Definition Hopefully the majority of you can skip this section entirely, but if you encounter some problems processing a trace file this may explain it and allow you to fix the problem. The component is built upon the trace management API provided by Microsoft. Unfortunately API methods that expose the schema of a trace file have known issues and are unreliable, put simply the data often differs from what was specified. To overcome these limitations the component uses  some simple XML files. These files enable the trace column data types and sizing attributes to be overridden. For example SQL Server Profiler or TMO generated structures define EventClass as an integer, but the real value is a string. TraceDataColumnsSQL.xml  - SQL Server Database Engine Trace Columns TraceDataColumnsAS.xml    - SQL Server Analysis Services Trace Columns The files can be found in the %ProgramFiles%\Microsoft SQL Server\100\DTS\PipelineComponents folder, e.g. "C:\Program Files\Microsoft SQL Server\100\DTS\PipelineComponents\TraceDataColumnsSQL.xml" "C:\Program Files\Microsoft SQL Server\100\DTS\PipelineComponents\TraceDataColumnsAS.xml" If at runtime the component encounters a type conversion or sizing error it is most likely due to a discrepancy between the column definition as reported by the API and the actual value encountered. Whilst most common issues have already been fixed through these files we have implemented specific exception traps to direct you to the files to enable you to fix any further issues due to different usage or data scenarios that we have not tested. An example error that you can fix through these files is shown below. Buffer exception writing value to column 'Column Name'. The string value is 999 characters in length, the column is only 111. Columns can be overridden by the TraceDataColumns XML files in "C:\Program Files\Microsoft SQL Server\100\DTS\PipelineComponents\TraceDataColumnsAS.xml". Installation The component is provided as an MSI file which you can download and run to install it. This simply places the files on disk in the correct locations and also installs the assemblies in the Global Assembly Cache as per Microsoft’s recommendations. You may need to restart the SQL Server Integration Services service, as this caches information about what components are installed, as well as restarting any open instances of Business Intelligence Development Studio (BIDS) / Visual Studio that you may be using to build your SSIS packages. Finally you will have to add the transformation to the Visual Studio toolbox manually. Right-click the toolbox, and select Choose Items.... Select the SSIS Data Flow Items tab, and then check the Trace File Source transformation in the Choose Toolbox Items window. This process has been described in detail in the related FAQ entry for How do I install a task or transform component? We recommend you follow best practice and apply the current Microsoft SQL Server Service pack to your SQL Server servers and workstations. Please note that the Microsoft Trace classes used in the component are not supported on 64-bit platforms. To use the Trace File Source on a 64-bit host you need to ensure you have the 32-bit (x86) tools available, and the way you execute your package is setup to use them, please see the help topic 64-bit Considerations for Integration Services for more details. Downloads Trace Sources for SQL Server 2005 -- Trace Sources for SQL Server 2008 Version History SQL Server 2008 Version 2.0.0.382 - SQL Sever 2008 public release. (9 Apr 2009) SQL Server 2005 Version 1.0.0.321 - SQL Server 2005 public release. (18 Nov 2008) -- Screenshots

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  • SQL SERVER – Advanced Data Quality Services with Melissa Data – Azure Data Market

    - by pinaldave
    There has been much fanfare over the new SQL Server 2012, and especially around its new companion product Data Quality Services (DQS). Among the many new features is the addition of this integrated knowledge-driven product that enables data stewards everywhere to profile, match, and cleanse data. In addition to the homegrown rules that data stewards can design and implement, there are also connectors to third party providers that are hosted in the Azure Datamarket marketplace.  In this review, I leverage SQL Server 2012 Data Quality Services, and proceed to subscribe to a third party data cleansing product through the Datamarket to showcase this unique capability. Crucial Questions For the purposes of the review, I used a database I had in an Excel spreadsheet with name and address information. Upon a cursory inspection, there are miscellaneous problems with these records; some addresses are missing ZIP codes, others missing a city, and some records are slightly misspelled or have unparsed suites. With DQS, I can easily add a knowledge base to help standardize my values, such as for state abbreviations. But how do I know that my address is correct? And if my address is not correct, what should it be corrected to? The answer lies in a third party knowledge base by the acknowledged USPS certified address accuracy experts at Melissa Data. Reference Data Services Within DQS there is a handy feature to actually add reference data from many different third-party Reference Data Services (RDS) vendors. DQS simplifies the processes of cleansing, standardizing, and enriching data through custom rules and through service providers from the Azure Datamarket. A quick jump over to the Datamarket site shows me that there are a handful of providers that offer data directly through Data Quality Services. Upon subscribing to these services, one can attach a DQS domain or composite domain (fields in a record) to a reference data service provider, and begin using it to cleanse, standardize, and enrich that data. Besides what I am looking for (address correction and enrichment), it is possible to subscribe to a host of other services including geocoding, IP address reference, phone checking and enrichment, as well as name parsing, standardization, and genderization.  These capabilities extend the data quality that DQS has natively by quite a bit. For my current address correction review, I needed to first sign up to a reference data provider on the Azure Data Market site. For this example, I used Melissa Data’s Address Check Service. They offer free one-month trials, so if you wish to follow along, or need to add address quality to your own data, I encourage you to sign up with them. Once I subscribed to the desired Reference Data Provider, I navigated my browser to the Account Keys within My Account to view the generated account key, which I then inserted into the DQS Client – Configuration under the Administration area. Step by Step to Guide That was all it took to hook in the subscribed provider -Melissa Data- directly to my DQS Client. The next step was for me to attach and map in my Reference Data from the newly acquired reference data provider, to a domain in my knowledge base. On the DQS Client home screen, I selected “New Knowledge Base” under Knowledge Base Management on the left-hand side of the home screen. Under New Knowledge Base, I typed a Name and description of my new knowledge base, then proceeded to the Domain Management screen. Here I established a series of domains (fields) and then linked them all together as a composite domain (record set). Using the Create Domain button, I created the following domains according to the fields in my incoming data: Name Address Suite City State Zip I added a Suite column in my domain because Melissa Data has the ability to return missing Suites based on last name or company. And that’s a great benefit of using these third party providers, as they have data that the data steward would not normally have access to. The bottom line is, with these third party data providers, I can actually improve my data. Next, I created a composite domain (fulladdress) and added the (field) domains into the composite domain. This essentially groups our address fields together in a record to facilitate the full address cleansing they perform. I then selected my newly created composite domain and under the Reference Data tab, added my third party reference data provider –Melissa Data’s Address Check- and mapped in each domain that I had to the provider’s Schema. Now that my composite domain has been married to the Reference Data service, I can take the newly published knowledge base and create a project to cleanse and enrich my data. My next task was to create a new Data Quality project, mapping in my data source and matching it to the appropriate domain column, and then kick off the verification process. It took just a few minutes with some progress indicators indicating that it was working. When the process concluded, there was a helpful set of tabs that place the response records into categories: suggested; new; invalid; corrected (automatically); and correct. Accepting the suggestions provided by  Melissa Data allowed me to clean up all the records and flag the invalid ones. It is very apparent that DQS makes address data quality simplistic for any IT professional. Final Note As I have shown, DQS makes data quality very easy. Within minutes I was able to set up a data cleansing and enrichment routine within my data quality project, and ensure that my address data was clean, verified, and standardized against real reference data. As reviewed here, it’s easy to see how both SQL Server 2012 and DQS work to take what used to require a highly skilled developer, and empower an average business or database person to consume external services and clean data. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQL Utility, T SQL, Technology Tagged: DQS

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  • Logical Domain Modeling Made Simple

    - by Knut Vatsendvik
    How can logical domain modeling be made simple and collaborative? Many non-technical end-users, managers and business domain experts find it difficult to understand the visual models offered by many UML tools. This creates trouble in capturing and verifying the information that goes into a logical domain model. The tools are also too advanced and complex for a non-technical user to learn and use. We have therefore, in our current project, ended up with using Confluence as tool for designing the logical domain model with the help of a few very useful plugins. Big thanks to Ole Nymoen and Per Spilling for their expertise in this field that made this posting possible. Confluence Plugins Here is a list of Confluence plugins used in this solution. Install these before trying out the macros used below. Plugin Description Copy Space Allows a space administrator to copy a space, including the pages within the space Metadata Supports adding metadata to Wiki pages Label Manages labeling of pages Linking Contains macros for linking to templates, the dashboard and other Table Enhances the table capability in Confluence Creating a Confluence Space First we need to create a new confluence space for the domain model. Click the link Create a Space located below the list of spaces on the Dashboard. Please contact your Confluence administrator is you do not have permissions to do this.   For illustrative purpose all attributes and entities in this posting are based on my imaginary project manager domain model. When a logical domain model is good enough for being implemented, do a copy of the Confluence Space (see Copy Space plugin). In this way you create a stable version of the logical domain model while further design can continue with the new copied space. Typical will the implementation phase result in a database design and/or a XSD schema design. Add Space Templates Go to the Home page of your Confluence Space. Navigate to the Browse drop-down menu and click on Advanced. Then click the Templates option in the left navigation panel. Click Add New Space Template to add the following three templates. Name: attribute {metadata-list} || Name | | || Type | | || Format | | || Description | | {metadata-list} {add-label:attribute} Name: primary-type {metadata-list} || Name | || || Type | || || Format | || || Description | || {metadata-list} {add-label:primary-type} Name: complex-type {metadata-list} || Name | || || Description |  || {metadata-list} h3. Attributes || Name || Type || Format || Description || | [name] | {metadata-from:name|Type} | {metadata-from:name|Format} | {metadata-from:name|Description} | {add-label:complex-type,entity} The metadata-list macro (see Metadata plugin) will save a list of metadata values to the page. The add-label macro (see Label plugin) will automatically label the page. Primary Types Page Our first page to add will act as container for our primary types. Switch to Wiki markup when adding the following content to the page. | (+) {add-page:template=primary-type|parent=@self}Add new primary type{add-page} | {metadata-report:Name,Type,Format,Description|sort=Name|root=@self|pages=@descendents} Once the page is created, click the Add new primary type (create-page macro) to start creating a new pages. Here is an example of input to the LocalDate page. Embrace the LocalDate with square brackets [] to make the page linkable. Again switch to Wiki markup before editing. {metadata-list} || Name | [LocalDate] || || Type | Date || || Format | YYYY-MM-DD || || Description | Date in local time zone. YYYY = year, MM = month and DD = day || {metadata-list} {add-label:primary-type} The metadata-report macro will show a tabular report of all child pages.   Attributes Page The next page will act as container for all of our attributes. | (+) {add-page:template=attribute|parent=@self|title=attribute}Add new attribute{add-page} | {metadata-report:Name,Type,Format,Description|sort=Name|pages=@descendants} Here is an example of input to the startDate page. {metadata-list} || Name | [startDate] || || Type | [LocalDate] || || Format | {metadata-from:LocalDate|Format} || || Description | The projects start date || {metadata-list} {add-label:attribute} Using the metadata-from macro we fetch the text from the previously created LocalDate page. Complex Types Page The last page in this example shows how attributes can be combined together to form more complex types.   h3. Intro Overview of complex types in the domain model. | (+) {add-page:template=complex-type|parent=@self}Add a new complex type{add-page}\\ | {metadata-report:Name,Description|sort=Name|root=@self|pages=@descendents} Here is an example of input to the ProjectType page. {metadata-list} || Name | [ProjectType] || || Description | Represents a project || {metadata-list} h3. Attributes || Name || Type || Format || Description || | [projectId] | {metadata-from:projectId|Type} | {metadata-from:projectId|Format} | {metadata-from:projectId|Description} | | [name] | {metadata-from:name|Type} | {metadata-from:name|Format} | {metadata-from:name|Description} | | [description] | {metadata-from:description|Type} | {metadata-from:description|Format} | {metadata-from:description|Description} | | [startDate] | {metadata-from:startDate|Type} | {metadata-from:startDate|Format} | {metadata-from:startDate|Description} | {add-label:complex-type,entity} Gives us this Conclusion Using a web-based corporate Wiki like Confluence to create a logical domain model increases the collaboration between people with different roles in the enterprise. It’s my believe that this helps the domain model to be more accurate, and better documented. In our real project we have more pages than illustrated here to complete the documentation. We do also still use UML tools to create different types of diagrams that Confluence do not support. As a last tip, an ImageMap plugin can make those diagrams clickable when used in pages. Enjoy!

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  • Installing SOA Suite 11.1.1.3

    - by James Taylor
    With the release of Oracle SOA Suite 11.1.1.3 last week (28 April 2010) I thought I would attempt to implement a complete SOA Environment with SOA Suite, BPM and OSB on the WLS infrastructure. One major point of difference with the 11.1.1.3 is that is is released as a point release so you must have 11.1.1.2 installed first, then upgrade to 11.1.1.3. This post is performing the upgrade on Linux, if upgrading on windows you will need to substitute the directories and files accordingly. This post assumes that you have SOA Suite 11.1.1.2 installed already. 1. Download 11.1.1.3 software from the following site: http://www.oracle.com/technology/software/products/middleware/htdocs/fmw_11_download.html WLS 11.1.1.3   RCU 11.1.1.3 SOA Suite 11.1.1.3 OSB 11.1.1.3 Copy files to a staging area. For the purpose of this document the staging area is: /u01/stage  2. Shutdown your existing SOA Suite 11.1.1.2 environment 3. Execute the WLS 11.1.1.3 install from the stage directory. wls1033_linux32.bin 4. Choose the existing 11.1.1.2 Middleware Home 5. Ignore the security update notification 6. Accept the default products to be upgraded. 7. Upgrade of WebLogic has been completed   8. Upgrade the SOA Suite database schemas using the RCU utility. Unzip the RCU utility into the staging area and run the install ./u01/stage/rcuHome/bin/rcu 9. Drop the existing Repository and provide connection details 9. Install SOA Suite patch set 11.1.1.3. Unzip the SOA Suite patchset and execute the runInstaller with the following command. ./u01/stage/Disk1/runInstaller –jreLoc $MW_HOME/jdk160_18/jre 10. Choose the existing 11.1.1.2 middleware home 11. Start Install 12. Your SOA Suite Install should now be completed. Now we need to update the database repository. Login to SQLPlus as sysdba and execute the following command. SELECT version, status FROM schema_version_registry where owner = 'DEV_SOAINFRA'; the result should be similar to this: VERSION                        STATUS      OWNER ------------------------------ ----------- ------------------------------ 11.1.1.2.0                     VALID       DEV_SOAINFRA As you can see the version if these repositories are still at 11.1.1.2. 13. To upgrade these versions you have 2 options. 1 install via RCU, but this will remove any existing services. The second option is to use the Patch Set Assistant. From the $MW_HOME directory run the following command ./Oracle_SOA1/bin/psa -dbType Oracle -dbConnectString 'localhost:1521:xe' -dbaUserName sys -schemaUserName DEV_SOAINFRA 14. Install OSB. For the OSB install I did not install the IDE, or the Examples. run the runInstaller from the command line, unzip the OSB download to the stage area. ./u01/stage/osb/Disk1/runInstaller –jreLoc $MW_HOME/jdk160_18/jre 15. Choose Custom Install NOT to install the IDE (Eclipse) or Examples. 16. Unselect the, Examples and IDE checkboxes. 17. Accept the defaults and start installing. 18. Once the install has been completed configure the domain by running the Configuration Wizard. $MW_HOME/oracle_common/common/bin/config.sh You can create a new domain. In this document I will extend the soa_domain. 19. Select the following from the check list. I have selected the BPM Suite, this is unrelated to OSB but wanted it for my development purposes. To use this functionality additional license are required. 20. Configure the database connectivity. 21. Configure the database connectivity for the OSB schema. 22. Accept the defaults if installing on standard machine, if you require a cluster or advanced configuration then choose the option for you. 23. Upgrade is complete and OSB has been installed. Now you can start your environment.

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  • Big Data – Buzz Words: Importance of Relational Database in Big Data World – Day 9 of 21

    - by Pinal Dave
    In yesterday’s blog post we learned what is HDFS. In this article we will take a quick look at the importance of the Relational Database in Big Data world. A Big Question? Here are a few questions I often received since the beginning of the Big Data Series - Does the relational database have no space in the story of the Big Data? Does relational database is no longer relevant as Big Data is evolving? Is relational database not capable to handle Big Data? Is it true that one no longer has to learn about relational data if Big Data is the final destination? Well, every single time when I hear that one person wants to learn about Big Data and is no longer interested in learning about relational database, I find it as a bit far stretched. I am not here to give ambiguous answers of It Depends. I am personally very clear that one who is aspiring to become Big Data Scientist or Big Data Expert they should learn about relational database. NoSQL Movement The reason for the NoSQL Movement in recent time was because of the two important advantages of the NoSQL databases. Performance Flexible Schema In personal experience I have found that when I use NoSQL I have found both of the above listed advantages when I use NoSQL database. There are instances when I found relational database too much restrictive when my data is unstructured as well as they have in the datatype which my Relational Database does not support. It is the same case when I have found that NoSQL solution performing much better than relational databases. I must say that I am a big fan of NoSQL solutions in the recent times but I have also seen occasions and situations where relational database is still perfect fit even though the database is growing increasingly as well have all the symptoms of the big data. Situations in Relational Database Outperforms Adhoc reporting is the one of the most common scenarios where NoSQL is does not have optimal solution. For example reporting queries often needs to aggregate based on the columns which are not indexed as well are built while the report is running, in this kind of scenario NoSQL databases (document database stores, distributed key value stores) database often does not perform well. In the case of the ad-hoc reporting I have often found it is much easier to work with relational databases. SQL is the most popular computer language of all the time. I have been using it for almost over 10 years and I feel that I will be using it for a long time in future. There are plenty of the tools, connectors and awareness of the SQL language in the industry. Pretty much every programming language has a written drivers for the SQL language and most of the developers have learned this language during their school/college time. In many cases, writing query based on SQL is much easier than writing queries in NoSQL supported languages. I believe this is the current situation but in the future this situation can reverse when No SQL query languages are equally popular. ACID (Atomicity Consistency Isolation Durability) – Not all the NoSQL solutions offers ACID compliant language. There are always situations (for example banking transactions, eCommerce shopping carts etc.) where if there is no ACID the operations can be invalid as well database integrity can be at risk. Even though the data volume indeed qualify as a Big Data there are always operations in the application which absolutely needs ACID compliance matured language. The Mixed Bag I have often heard argument that all the big social media sites now a days have moved away from Relational Database. Actually this is not entirely true. While researching about Big Data and Relational Database, I have found that many of the popular social media sites uses Big Data solutions along with Relational Database. Many are using relational databases to deliver the results to end user on the run time and many still uses a relational database as their major backbone. Here are a few examples: Facebook uses MySQL to display the timeline. (Reference Link) Twitter uses MySQL. (Reference Link) Tumblr uses Sharded MySQL (Reference Link) Wikipedia uses MySQL for data storage. (Reference Link) There are many for prominent organizations which are running large scale applications uses relational database along with various Big Data frameworks to satisfy their various business needs. Summary I believe that RDBMS is like a vanilla ice cream. Everybody loves it and everybody has it. NoSQL and other solutions are like chocolate ice cream or custom ice cream – there is a huge base which loves them and wants them but not every ice cream maker can make it just right  for everyone’s taste. No matter how fancy an ice cream store is there is always plain vanilla ice cream available there. Just like the same, there are always cases and situations in the Big Data’s story where traditional relational database is the part of the whole story. In the real world scenarios there will be always the case when there will be need of the relational database concepts and its ideology. It is extremely important to accept relational database as one of the key components of the Big Data instead of treating it as a substandard technology. Ray of Hope – NewSQL In this module we discussed that there are places where we need ACID compliance from our Big Data application and NoSQL will not support that out of box. There is a new termed coined for the application/tool which supports most of the properties of the traditional RDBMS and supports Big Data infrastructure – NewSQL. Tomorrow In tomorrow’s blog post we will discuss about NewSQL. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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  • ODI 12c's Mapping Designer - Combining Flow Based and Expression Based Mapping

    - by Madhu Nair
    post by David Allan ODI is renowned for its declarative designer and minimal expression based paradigm. The new ODI 12c release has extended this even further to provide an extended declarative mapping designer. The ODI 12c mapper is a fusion of ODI's new declarative designer with the familiar flow based designer while retaining ODI’s key differentiators of: Minimal expression based definition, The ability to incrementally design an interface and to extract/load data from any combination of sources, and most importantly Backed by ODI’s extensible knowledge module framework. The declarative nature of the product has been extended to include an extensible library of common components that can be used to easily build simple to complex data integration solutions. Big usability improvements through consistent interactions of components and concepts all constructed around the familiar knowledge module framework provide the utmost flexibility. Here is a little taster: So what is a mapping? A mapping comprises of a logical design and at least one physical design, it may have many. A mapping can have many targets, of any technology and can be arbitrarily complex. You can build reusable mappings and use them in other mappings or other reusable mappings. In the example below all of the information from an Oracle bonus table and a bonus file are joined with an Oracle employees table before being written to a target. Some things that are cool include the one-click expression cross referencing so you can easily see what's used where within the design. The logical design in a mapping describes what you want to accomplish  (see the animated GIF here illustrating how the above mapping was designed) . The physical design lets you configure how it is to be accomplished. So you could have one logical design that is realized as an initial load in one physical design and as an incremental load in another. In the physical design below we can customize how the mapping is accomplished by picking Knowledge Modules, in ODI 12c you can pick multiple nodes (on logical or physical) and see common properties. This is useful as we can quickly compare property values across objects - below we can see knowledge modules settings on the access points between execution units side by side, in the example one table is retrieved via database links and the other is an external table. In the logical design I had selected an append mode for the integration type, so by default the IKM on the target will choose the most suitable/default IKM - which in this case is an in-built Oracle Insert IKM (see image below). This supports insert and select hints for the Oracle database (the ANSI SQL Insert IKM does not support these), so by default you will get direct path inserts with Oracle on this statement. In ODI 12c, the mapper is just that, a mapper. Design your mapping, write to multiple targets, the targets can be in the same data server, in different data servers or in totally different technologies - it does not matter. ODI 12c will derive and generate a plan that you can use or customize with knowledge modules. Some of the use cases which are greatly simplified include multiple heterogeneous targets, multi target inserts for Oracle and writing of XML. Let's switch it up now and look at a slightly different example to illustrate expression reuse. In ODI you can define reusable expressions using user functions. These can be reused across mappings and the implementations specialized per technology. So you can have common expressions across Oracle, SQL Server, Hive etc. shielding the design from the physical aspects of the generated language. Another way to reuse is within a mapping itself. In ODI 12c expressions can be defined and reused within a mapping. Rather than replicating the expression text in larger expressions you can decompose into smaller snippets, below you can see UNIT_TAX AMOUNT has been defined and is used in two downstream target columns - its used in the TOTAL_TAX_AMOUNT plus its used in the UNIT_TAX_AMOUNT (a recording of the calculation).  You can see the columns that the expressions depend on (upstream) and the columns the expression is used in (downstream) highlighted within the mapper. Also multi selecting attributes is a convenient way to see what's being used where, below I have selected the TOTAL_TAX_AMOUNT in the target datastore and the UNIT_TAX_AMOUNT in UNIT_CALC. You can now see many expressions at once now and understand much more at the once time without needlessly clicking around and memorizing information. Our mantra during development was to keep it simple and make the tool more powerful and do even more for the user. The development team was a fusion of many teams from Oracle Warehouse Builder, Sunopsis and BEA Aqualogic, debating and perfecting the mapper in ODI 12c. This was quite a project from supporting the capabilities of ODI in 11g to building the flow based mapping tool to support the future. I hope this was a useful insight, there is so much more to come on this topic, this is just a preview of much more that you will see of the mapper in ODI 12c.

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  • PHP OCI8 and Oracle 11g DRCP Connection Pooling in Pictures

    - by christopher.jones
    Here is a screen shot from a PHP OCI8 connection pooling demo that I like to run. It graphically shows how little database host memory is needed when using DRCP connection pooling with Oracle Database 11g. Migrating to DRCP can be as simple as starting the pool and changing the connection string in your PHP application. The script that generated the data for this graph was a simple "Parts" query application being run under various simulated user loads. I was running the database on a small Oracle Linux server with just 2G of memory. I used PHP OCI8 1.4. Apache is in pre-fork mode, as needed for PHP. Each graph has time on the horizontal access in arbitrary 'tick' time units. Click the image to see it full sized. Pooled connections Beginning with the top left graph, At tick time 65 I used Apache's 'ab' tool to start 100 concurrent 'users' running the application. These users connected to the database using DRCP: $c = oci_pconnect('phpdemo', 'welcome', 'myhost/orcl:pooled'); A second hundred DRCP users were added to the system at tick 80 and a final hundred users added at tick 100. At about tick 110 I stopped the test and restarted Apache. This closed all the connections. The bottom left graph shows the number of statements being executed by the database per second, with some spikes for background database activity and some variability for this small test. Each extra batch of users adds another 'step' of load to the system. Looking at the top right Server Process graph shows the database server processes doing the query work for each web user. As user load is added, the DRCP server pool increases (in green). The pool is initially at its default size 4 and quickly ramps up to about (I'm guessing) 35. At tick time 100 the pool increases to my configured maximum of 40 processes. Those 40 processes are doing the query work for all 300 web users. When I stopped the test at tick 110, the pooled processes remained open waiting for more users to connect. If I had left the test quiet for the DRCP 'inactivity_timeout' period (300 seconds by default), the pool would have shrunk back to 4 processes. Looking at the bottom right, you can see the amount of memory being consumed by the database. During the initial quiet period about 500M of memory was in use. The absolute number is just an indication of my particular DB configuration. As the number of pooled processes increases, each process needs more memory. You can see the shape of the memory graph echoes the Server Process graph above it. Each of the 300 web users will also need a few kilobytes but this is almost too small to see on the graph. Non-pooled connections Compare the DRCP case with using 'dedicated server' processes. At tick 140 I started 100 web users who did not use pooled connections: $c = oci_pconnect('phpdemo', 'welcome', 'myhost/orcl'); This connection string change is the only difference between the two tests. At ticks 155 and 165 I started two more batches of 100 simulated users each. At about tick 195 I stopped the user load but left Apache running. Apache then gradually returned to its quiescent state, killing idle httpd processes and producing the downward slope at the right of the graphs as the persistent database connection in each Apache process was closed. The Executions per Second graph on the bottom left shows the same step increases as for the earlier DRCP case. The database is handling this load. But look at the number of Server processes on the top right graph. There is now a one-to-one correspondence between Apache/PHP processes and DB server processes. Each PHP processes has one DB server processes dedicated to it. Hence the term 'dedicated server'. The memory required on the database is proportional to all those database server processes started. Almost all my system's memory was consumed. I doubt it would have coped with any more user load. Summary Oracle Database 11g DRCP connection pooling significantly reduces database host memory requirements allow more system memory to be allocated for the SGA and allowing the system to scale to handled thousands of concurrent PHP users. Even for small systems, using DRCP allows more web users to be active. More information about PHP and DRCP can be found in the PHP Scalability and High Availability chapter of The Underground PHP and Oracle Manual.

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  • World Record Oracle Business Intelligence Benchmark on SPARC T4-4

    - by Brian
    Oracle's SPARC T4-4 server configured with four SPARC T4 3.0 GHz processors delivered the first and best performance of 25,000 concurrent users on Oracle Business Intelligence Enterprise Edition (BI EE) 11g benchmark using Oracle Database 11g Release 2 running on Oracle Solaris 10. A SPARC T4-4 server running Oracle Business Intelligence Enterprise Edition 11g achieved 25,000 concurrent users with an average response time of 0.36 seconds with Oracle BI server cache set to ON. The benchmark data clearly shows that the underlying hardware, SPARC T4 server, and the Oracle BI EE 11g (11.1.1.6.0 64-bit) platform scales within a single system supporting 25,000 concurrent users while executing 415 transactions/sec. The benchmark demonstrated the scalability of Oracle Business Intelligence Enterprise Edition 11g 11.1.1.6.0, which was deployed in a vertical scale-out fashion on a single SPARC T4-4 server. Oracle Internet Directory configured on SPARC T4 server provided authentication for the 25,000 Oracle BI EE users with sub-second response time. A SPARC T4-4 with internal Solid State Drive (SSD) using the ZFS file system showed significant I/O performance improvement over traditional disk for the Web Catalog activity. In addition, ZFS helped get past the UFS limitation of 32767 sub-directories in a Web Catalog directory. The multi-threaded 64-bit Oracle Business Intelligence Enterprise Edition 11g and SPARC T4-4 server proved to be a successful combination by providing sub-second response times for the end user transactions, consuming only half of the available CPU resources at 25,000 concurrent users, leaving plenty of head room for increased load. The Oracle Business Intelligence on SPARC T4-4 server benchmark results demonstrate that comprehensive BI functionality built on a unified infrastructure with a unified business model yields best-in-class scalability, reliability and performance. Oracle BI EE 11g is a newer version of Business Intelligence Suite with richer and superior functionality. Results produced with Oracle BI EE 11g benchmark are not comparable to results with Oracle BI EE 10g benchmark. Oracle BI EE 11g is a more difficult benchmark to run, exercising more features of Oracle BI. Performance Landscape Results for the Oracle BI EE 11g version of the benchmark. Results are not comparable to the Oracle BI EE 10g version of the benchmark. Oracle BI EE 11g Benchmark System Number of Users Response Time (sec) 1 x SPARC T4-4 (4 x SPARC T4 3.0 GHz) 25,000 0.36 Results for the Oracle BI EE 10g version of the benchmark. Results are not comparable to the Oracle BI EE 11g version of the benchmark. Oracle BI EE 10g Benchmark System Number of Users 2 x SPARC T5440 (4 x SPARC T2+ 1.6 GHz) 50,000 1 x SPARC T5440 (4 x SPARC T2+ 1.6 GHz) 28,000 Configuration Summary Hardware Configuration: SPARC T4-4 server 4 x SPARC T4-4 processors, 3.0 GHz 128 GB memory 4 x 300 GB internal SSD Storage Configuration: "> Sun ZFS Storage 7120 16 x 146 GB disks Software Configuration: Oracle Solaris 10 8/11 Oracle Solaris Studio 12.1 Oracle Business Intelligence Enterprise Edition 11g (11.1.1.6.0) Oracle WebLogic Server 10.3.5 Oracle Internet Directory 11.1.1.6.0 Oracle Database 11g Release 2 Benchmark Description Oracle Business Intelligence Enterprise Edition (Oracle BI EE) delivers a robust set of reporting, ad-hoc query and analysis, OLAP, dashboard, and scorecard functionality with a rich end-user experience that includes visualization, collaboration, and more. The Oracle BI EE benchmark test used five different business user roles - Marketing Executive, Sales Representative, Sales Manager, Sales Vice-President, and Service Manager. These roles included a maximum of 5 different pre-built dashboards. Each dashboard page had an average of 5 reports in the form of a mix of charts, tables and pivot tables, returning anywhere from 50 rows to approximately 500 rows of aggregated data. The test scenario also included drill-down into multiple levels from a table or chart within a dashboard. The benchmark test scenario uses a typical business user sequence of dashboard navigation, report viewing, and drill down. For example, a Service Manager logs into the system and navigates to his own set of dashboards using Service Manager. The BI user selects the Service Effectiveness dashboard, which shows him four distinct reports, Service Request Trend, First Time Fix Rate, Activity Problem Areas, and Cost Per Completed Service Call spanning 2002 to 2005. The user then proceeds to view the Customer Satisfaction dashboard, which also contains a set of 4 related reports, drills down on some of the reports to see the detail data. The BI user continues to view more dashboards – Customer Satisfaction and Service Request Overview, for example. After navigating through those dashboards, the user logs out of the application. The benchmark test is executed against a full production version of the Oracle Business Intelligence 11g Applications with a fully populated underlying database schema. The business processes in the test scenario closely represent a real world customer scenario. See Also SPARC T4-4 Server oracle.com OTN Oracle Business Intelligence oracle.com OTN Oracle Database 11g Release 2 Enterprise Edition oracle.com OTN WebLogic Suite oracle.com OTN Oracle Solaris oracle.com OTN Disclosure Statement Copyright 2012, Oracle and/or its affiliates. All rights reserved. Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners. Results as of 30 September 2012.

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  • How to Automate your Database Documentation

    - by Jonathan Hickford
    In my previous post, “Automating Deployments with SQL Compare command line” I looked at how teams can automate the deployment and post deployment validation of SQL Server databases using the command line versions of Red Gate tools. In this post I’m looking at another use for the command line tools, namely using them to generate up-to-date documentation with every database change. There are many reasons why up-to-date documentation is valuable. For example when somebody new has to work on or administer a database for the first time, or when a new database comes into service. Having database documentation reduces the risks of making incorrect decisions when making changes. Documentation is very useful to business intelligence analysts when writing reports, for example in SSRS. There are a couple of great examples talking about why up to date documentation is valuable on this site:  Database Documentation – Lands of Trolls: Why and How? and Database Documentation Using SQL Doc. The short answer is that it can save you time and reduce risk when you need that most! SQL Doc is a fast simple tool that automatically generates database documentation. It can create documents in HTML, Word or pdf files. The documentation contains information about object definitions and dependencies, along with any other information you want to associate with each object. The SQL Doc GUI, which is included in Red Gate’s SQL Developer Bundle and SQL Toolbelt, allows you to add additional notes to objects, and customise which objects are shown in the docs.  These settings can be saved as a .sqldoc project file. The SQL Doc command line can use this project file to automatically update the documentation every time the database is changed, ensuring that documentation that is always up to date. The simplest way to keep documentation up to date is probably to use a scheduled task to run a script every day. However if you have a source controlled database, or are using a Continuous Integration (CI) server or a build server, it may make more sense to use that instead. If  you’re using SQL Source Control or SSDT Database Projects to help version control your database, you can automatically update the documentation after each change is made to the source control repository that contains your database. To get this automation in place,  you can use the functionality of a Continuous Integration (CI) server, which can trigger commands to run when a source control repository has changed. A CI server will also capture and save the documentation that is created as an artifact, so you can always find the exact documentation for a specific version of the database. This forms an always up to date data dictionary. If you don’t already have a CI server in place there are several you can use, such as the free open source Jenkins or the free starter editions of TeamCity. I won’t cover setting these up in this article, but there is information about using CI servers for automating database tasks on the Red Gate Database Delivery webpage. You may be interested in Red Gate’s SQL CI utility (part of the SQL Automation Pack) which is an easy way to update a database with the latest changes from source control. The PowerShell example below shows how to create the documentation from a database. That database might be your integration database or a shared development database that is always up to date with the latest changes. $serverName = "server\instance" $databaseName = "databaseName" # If you want to document multiple databases use a comma separated list $userName = "username" $password = "password" # Path to SQLDoc.exe $SQLDocPath = "C:\Program Files (x86)\Red Gate\SQL Doc 3\SQLDoc.exe" $arguments = @( "/server:$($serverName)", "/database:$($databaseName)", "/username:$($userName)", "/password:$($password)", "/filetype:html", "/outputfolder:.", # "/project:$args[0]", # If you already have a .sqldoc project file you can pass it as an argument to this script. Values in the project will be overridden with any options set on the command line "/name:$databaseName Report", "/copyrightauthor:$([Environment]::UserName)" ) write-host $arguments & $SQLDocPath $arguments There are several options you can set on the command line to vary how your documentation is created. For example, you can document multiple databases or exclude certain types of objects. In the example above, we set the name of the report to match the database name, and use the current Windows user as the documentation author. For more examples of how you can customise the report from the command line please see the SQL Doc command line documentation If you already have a .sqldoc project file, or wish to further customise the report by including or excluding specific objects, you can use this project on the command line. Any settings you specify on the command line will override the defaults in the project. For details of what you can customise in the project please see the SQL Doc project documentation. In the example above, the line to use a project is commented out, but you can uncomment this line and then pass a path to a .sqldoc project file as an argument to this script.  Conclusion Keeping documentation about your databases up to date is very easy to set up using SQL Doc and PowerShell. By using a CI server to run this process you can trigger the documentation to be run on every change to a source controlled database, and keep historic documentation available. If you are considering more advanced database automation, e.g. database unit testing, change script generation, deploying to large numbers of targets and backup/verification, please email me at [email protected] for further script samples or if you have any questions.

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  • HTG Explains: Why is Printer Ink So Expensive?

    - by Chris Hoffman
    Printer ink is expensive, more expensive per drop than fine champagne or even human blood. If you haven’t gone paperless, you’ll notice that you’re paying a lot for new ink cartridges — more than seems reasonable. Purchasing the cheapest inkjet printer and buying official ink cartridge replacements is the most expensive thing you can do. There are ways to save money on ink if you must continue to print documents. Cheap Printers, Expensive Ink Ink jet printers are often very cheap. That’s because they’re sold at cost, or even at a loss — the manufacturer either makes no profit from the printer itself or loses money. The manufacturer will make most of its money from the printer cartridges you buy later. Even if the company does make a bit of money from each printer sold, it makes a much larger profit margin on ink. Rather than selling you a printer that may be rather expensive, they want to sell you a cheap printer and make money on an ongoing basis by providing expensive printer ink. It’s been compared to the razor model — sell a razor cheaply and mark up the razor blades. Rather than making a one-time profit on the razor, you’ll make continuing profit as the customer keeps buying razor blade replacements — or ink, in this case. Many printer manufacturers go out of their way to make it difficult for you to use unofficial ink cartridges, building microchips into their official ink cartridges. If you use an unofficial cartridge or refill an official cartridge, the printer may refuse to use it. Lexmark once argued in court that unofficial microchips that enable third-party ink cartridges would violate their copyright and Lexmark has argued that creating an unofficial microchip to bypass this restriction on third-party ink would violate Lexmark’s copyright and be illegal under the US DMCA. Luckily, they lost this argument. What Printer Companies Say Printer companies have put forth their own arguments in the past, attempting to justify the high cost of official ink cartridges and microchips that block any competition. In a Computer World story from 2010, HP argued that they spend a billion dollars each year on “ink research and development.” They point out that printer ink “must be formulated to withstand heating to 300 degrees, vaporization, and being squirted at 30 miles per hour, at a rate of 36,000 drops per second, through a nozzle one third the size of a human hair. After all that it must dry almost instantly on the paper.” They also argue that printers have become more efficient and use less ink to print, while third-party cartridges are less reliable. Companies that use microchips in their ink cartridges argue that only the microchip has the ability to enforce an expiration date, preventing consumers from using old ink cartridges. There’s something to all these arguments, sure — but they don’t seem to justify the sky-high cost of printer ink or the restriction on using third-party or refilled cartridges. Saving Money on Printing Ultimately, the price of something is what people are willing to pay and printer companies have found that most consumers are willing to pay this much for ink cartridge replacements. Try not to fall for it: Don’t buy the cheapest inkjet printer. Consider your needs when buying a printer and do some research. You’ll save more money in the long run. Consider these basic tips to save money on printing: Buy Refilled Cartridges: Refilled cartridges from third parties are generally much cheaper. Printer companies warn us away from these, but they often work very well. Refill Your Own Cartridges: You can get do-it-yourself kits for refilling your own printer ink cartridges, but this can be messy. Your printer may refuse to accept a refilled cartridge if the cartridge contains a microchip. Switch to a Laser Printer: Laser printers use toner, not ink cartridges. If you print a lot of black and white documents, a laser printer can be cheaper. Buy XL Cartridges: If you are buying official printer ink cartridges, spend more money each time. The cheapest ink cartridges won’t contain much ink at all, while larger “XL” ink cartridges will contain much more ink for only a bit more money. It’s often cheaper to buy in bulk. Avoid Printers With Tri-Color Ink Cartridges: If you’re printing color documents, you’ll want to get a printer that uses separate ink cartridges for all its colors. For example, let’s say your printer has a “Color” cartridge that contains blue, green, and red ink. If you print a lot of blue documents and use up all your blue ink, the Color cartridge will refuse to function — now all you can do is throw away your cartridge and buy a new one, even if the green and red ink chambers are full. If you had a printer with separate color cartridges, you’d just have to replace the blue cartridge. If you’ll be buying official ink cartridges, be sure to compare the cost of cartridges when buying a printer. The cheapest printer may be more expensive in the long run. Of course, you’ll save the most money if you stop printing entirely and go paperless, keeping digital copies of your documents instead of paper ones. Image Credit: Cliva Darra on Flickr     

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  • Messaging Systems – Handshaking, Reconciliation and Tracking for Data Transparency

    - by Ahsan Alam
    As many corporations build business partnerships with other organizations, the need to share information becomes necessary. Large amount of data sharing using snail mail, email and/or fax are quickly becoming a thing of the past. More and more organizations are relying heavily on Ftp and/or Web Service to exchange data. Corporations apply wide range of technologies and techniques based on available resources and data transfer needs. Sometimes, it involves simple home-grown applications. Other times, large investments are made on products like BizTalk, TIBCO etc. Complexity of information management also varies significantly from one organizations to another. Some may deal with handful of simple steps to process and manage shared data; whereas others may rely on fairly complex processes with heavy interaction with internal and external systems in order to serve the business needs. It is not surprising that many of these systems end up becoming black boxes over a period of time. Consequently, people and business start to rely more and more on developers and support personnel just to extract simple information adding to the loss of productivity. One of the most important factor in any business is transparency to data irrespective of technology preferences and the complexity of business processes. Not knowing the state of data could become very costly to the business. Being involved in messaging systems for some time now, I have heard the same type of questions over and over again. Did we transmit messages successfully? Did we get responses back? What is the expected turn-around-time? Did the system experience any errors? When one company transmits data to one or more company, it may invoke a set of processes that could complete in matter of seconds, or it could days. As data travels from one organizations to another, the uncertainty grows, and the longer it takes to track uncertain state of the data the costlier it gets for the business, So, in every business scenario, it's extremely important to be aware of the state of the data.   Architects of messaging systems can take several steps to aid with data transparency. Some forms of data handshaking and reconciliation mechanism as well as extensive data tracking can be incorporated into the system to provide clear visibility to the data. What do I mean by handshaking and reconciliation? Some might consider these to be a single concept; however, I like to consider them in two unique categories. Handshaking serves as message receipts or acknowledgment. When one transmits messages to another, the receiver must acknowledge each message by sending immediate responses for each transaction. Whenever we use Web Services, handshaking is often achieved utilizing request/reply pattern. Similarly, if Ftp is used, a receiver can acknowledge by dropping messages for the sender as soon as the files are picked up. These forms of handshaking or acknowledgment informs the message sender and receiver that a successful transaction has occurred. I have mentioned earlier that it could take anywhere from a few seconds to a number of days before shared data is completely processed. In addition, whenever a batched transaction is used, processing time for each data element inside the batch could also vary significantly. So, in order to successfully manage data processing, reconciliation becomes extremely important; otherwise it may result into data loss or in some cases hefty penalty. Reconciliation can be done in many ways. Partner organizations can share and compare ad hoc reports to achieve reconciliation. On the other hand, partners can agree on some type of systematic reconciliation messages. Systems within responsible parties can trigger messages to partners as soon as the data process completes.   Next step in the data transparency is extensive data tracking. Some products such as BizTalk and TIBCO provide built-in functionality for data tracking; however, built-in functionality may not always be adequate. Sometimes additional tracking system (or databases) needs to be built in order monitor all types of data flow including, message transactions, handshaking, reconciliation, system errors and many more. If these types of data are captured, then these can be presented to business users in any forms or fashion. When business users are empowered with such information, then the reliance on developers and support teams decreases dramatically.   In today's collaborative world of information sharing, data transparency is key to the success of every business. The state of business data will constantly change. However, when people have easier access to various states of data, it allows them to make better and quicker decisions. Therefore, I feel that data handshaking, reconciliation and tracking is very important aspect of messaging systems.

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  • Dynamic Data Connections

    - by Tim Dexter
    I have had a long running email thread running between Dan and David over at Valspar and myself. They have built some impressive connectivity between their in house apps and BIP using web services. The crux of their problem has been that they have multiple databases that need the same report executed against them. Not such an unusual request as I have spoken to two customers in the last month with the same situation. Of course, you could create a report against each data connection and just run or call the appropriate report. Not too bad if you have two or three data connections but more than that and it becomes a maintenance nightmare having to update queries or layouts. Ideally you want to have just a single report definition on the BIP server and to dynamically set the connection to be used at runtime based on the user or system that the user is in. A quick bit of digging and help from Shinji on the development team and I had an answer. Rather embarassingly, the solution has been around since the Oct 2010 rollup patch last year. Still, I grabbed the latest Jan 2011 patch - check out Note 797057.1 for the latest available patches. Once installed, I used the best web service testing tool I have yet to come across - SoapUI. Just point it at the WSDL and you can check out the available services and their parameters and then test them too. The XML packet has a new dynamic data source entry. You can set you own custom JDBC connection or just specify an existing data source name thats defined on the server. <pub:runReport> <pub:reportRequest> <pub:attributeFormat>xml</pub:attributeFormat> <pub:attributeTemplate>0</pub:attributeTemplate> <pub:byPassCache>true</pub:byPassCache> <pub:dynamicDataSource> <pub:JDBCDataSource> <pub:JDBCDriverClass></pub:JDBCDriverClass> <pub:JDBCDriverType></pub:JDBCDriverType> <pub:JDBCPassword></pub:JDBCPassword> <pub:JDBCURL></pub:JDBCURL> <pub:JDBCUserName></pub:JDBCUserName> <pub:dataSourceName>Conn1</pub:dataSourceName> </pub:JDBCDataSource> </pub:dynamicDataSource> <pub:reportAbsolutePath>/Test/Employee Report/Employee Report.xdo</pub:reportAbsolutePath> </pub:reportRequest> <pub:userID>Administrator</pub:userID> <pub:password>Administrator</pub:password> </pub:runReport> So I have Conn1 and Conn2 defined that are connections to different databases. I can just flip the name, make the WS call and get the appropriate dataset in my report. Just as an example, here's my web service call java code. Just a case of bringing in the BIP java libs to my java project. publicReportServiceService = new PublicReportServiceService(); PublicReportService publicReportService = publicReportServiceService.getPublicReportService_v11(); String userID = "Administrator"; String password = "Administrator"; ReportRequest rr = new ReportRequest(); rr.setAttributeFormat("xml"); rr.setAttributeTemplate("1"); rr.setByPassCache(true); rr.setReportAbsolutePath("/Test/Employee Report/Employee Report.xdo"); rr.setReportOutputPath("c:\\temp\\output.xml"); BIPDataSource bipds = new BIPDataSource(); JDBCDataSource jds = new JDBCDataSource(); jds.setDataSourceName("Conn1"); bipds.setJDBCDataSource(jds); rr.setDynamicDataSource(bipds); try { publicReportService.runReport(rr, userID, password); } catch (InvalidParametersException e) { e.printStackTrace(); } catch (AccessDeniedException e) { e.printStackTrace(); } catch (OperationFailedException e) { e.printStackTrace(); } } Note, Im no java whiz kid or whizzy old bloke, at least not unless Ive had a coffee. JDeveloper has a nice feature where you point it at the WSDL and it creates everything to support your calling code for you. Couple of things to remember: 1. When you call the service, remember to set the bypass the cache option. Forget it and much scratching of your head and taking my name in vain will ensue. 2. My demo actually hit the same database but used two users, one accessed the base tables another views with the same name. For far too long I thought the connection swapping was not working. I was getting the same results for both users until I realized I was specifying the schema name for the table/view in my query e.g. select * from EMP.EMPLOYEES. So remember to have a generic query that will depend entirely on the connection. Its a neat feature if you want to be able to switch connections and only define a single report and call it remotely. Now if you want the connection to be set dynamically based on the user and the report run via the user interface, thats going to be more tricky ... need to think about that one!

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  • SQL SERVER – Fundamentals of Columnstore Index

    - by pinaldave
    There are two kind of storage in database. Row Store and Column Store. Row store does exactly as the name suggests – stores rows of data on a page – and column store stores all the data in a column on the same page. These columns are much easier to search – instead of a query searching all the data in an entire row whether the data is relevant or not, column store queries need only to search much lesser number of the columns. This means major increases in search speed and hard drive use. Additionally, the column store indexes are heavily compressed, which translates to even greater memory and faster searches. I am sure this looks very exciting and it does not mean that you convert every single index from row store to column store index. One has to understand the proper places where to use row store or column store indexes. Let us understand in this article what is the difference in Columnstore type of index. Column store indexes are run by Microsoft’s VertiPaq technology. However, all you really need to know is that this method of storing data is columns on a single page is much faster and more efficient. Creating a column store index is very easy, and you don’t have to learn new syntax to create them. You just need to specify the keyword “COLUMNSTORE” and enter the data as you normally would. Keep in mind that once you add a column store to a table, though, you cannot delete, insert or update the data – it is READ ONLY. However, since column store will be mainly used for data warehousing, this should not be a big problem. You can always use partitioning to avoid rebuilding the index. A columnstore index stores each column in a separate set of disk pages, rather than storing multiple rows per page as data traditionally has been stored. The difference between column store and row store approaches is illustrated below: In case of the row store indexes multiple pages will contain multiple rows of the columns spanning across multiple pages. In case of column store indexes multiple pages will contain multiple single columns. This will lead only the columns needed to solve a query will be fetched from disk. Additionally there is good chance that there will be redundant data in a single column which will further help to compress the data, this will have positive effect on buffer hit rate as most of the data will be in memory and due to same it will not need to be retrieved. Let us see small example of how columnstore index improves the performance of the query on a large table. As a first step let us create databaseset which is large enough to show performance impact of columnstore index. The time taken to create sample database may vary on different computer based on the resources. USE AdventureWorks GO -- Create New Table CREATE TABLE [dbo].[MySalesOrderDetail]( [SalesOrderID] [int] NOT NULL, [SalesOrderDetailID] [int] NOT NULL, [CarrierTrackingNumber] [nvarchar](25) NULL, [OrderQty] [smallint] NOT NULL, [ProductID] [int] NOT NULL, [SpecialOfferID] [int] NOT NULL, [UnitPrice] [money] NOT NULL, [UnitPriceDiscount] [money] NOT NULL, [LineTotal] [numeric](38, 6) NOT NULL, [rowguid] [uniqueidentifier] NOT NULL, [ModifiedDate] [datetime] NOT NULL ) ON [PRIMARY] GO -- Create clustered index CREATE CLUSTERED INDEX [CL_MySalesOrderDetail] ON [dbo].[MySalesOrderDetail] ( [SalesOrderDetailID]) GO -- Create Sample Data Table -- WARNING: This Query may run upto 2-10 minutes based on your systems resources INSERT INTO [dbo].[MySalesOrderDetail] SELECT S1.* FROM Sales.SalesOrderDetail S1 GO 100 Now let us do quick performance test. I have kept STATISTICS IO ON for measuring how much IO following queries take. In my test first I will run query which will use regular index. We will note the IO usage of the query. After that we will create columnstore index and will measure the IO of the same. -- Performance Test -- Comparing Regular Index with ColumnStore Index USE AdventureWorks GO SET STATISTICS IO ON GO -- Select Table with regular Index SELECT ProductID, SUM(UnitPrice) SumUnitPrice, AVG(UnitPrice) AvgUnitPrice, SUM(OrderQty) SumOrderQty, AVG(OrderQty) AvgOrderQty FROM [dbo].[MySalesOrderDetail] GROUP BY ProductID ORDER BY ProductID GO -- Table 'MySalesOrderDetail'. Scan count 1, logical reads 342261, physical reads 0, read-ahead reads 0. -- Create ColumnStore Index CREATE NONCLUSTERED COLUMNSTORE INDEX [IX_MySalesOrderDetail_ColumnStore] ON [MySalesOrderDetail] (UnitPrice, OrderQty, ProductID) GO -- Select Table with Columnstore Index SELECT ProductID, SUM(UnitPrice) SumUnitPrice, AVG(UnitPrice) AvgUnitPrice, SUM(OrderQty) SumOrderQty, AVG(OrderQty) AvgOrderQty FROM [dbo].[MySalesOrderDetail] GROUP BY ProductID ORDER BY ProductID GO It is very clear from the results that query is performance extremely fast after creating ColumnStore Index. The amount of the pages it has to read to run query is drastically reduced as the column which are needed in the query are stored in the same page and query does not have to go through every single page to read those columns. If we enable execution plan and compare we can see that column store index performance way better than regular index in this case. Let us clean up the database. -- Cleanup DROP INDEX [IX_MySalesOrderDetail_ColumnStore] ON [dbo].[MySalesOrderDetail] GO TRUNCATE TABLE dbo.MySalesOrderDetail GO DROP TABLE dbo.MySalesOrderDetail GO In future posts we will see cases where Columnstore index is not appropriate solution as well few other tricks and tips of the columnstore index. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL Index, SQL Optimization, SQL Performance, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • JavaScript Class Patterns

    - by Liam McLennan
    To write object-oriented programs we need objects, and likely lots of them. JavaScript makes it easy to create objects: var liam = { name: "Liam", age: Number.MAX_VALUE }; But JavaScript does not provide an easy way to create similar objects. Most object-oriented languages include the idea of a class, which is a template for creating objects of the same type. From one class many similar objects can be instantiated. Many patterns have been proposed to address the absence of a class concept in JavaScript. This post will compare and contrast the most significant of them. Simple Constructor Functions Classes may be missing but JavaScript does support special constructor functions. By prefixing a call to a constructor function with the ‘new’ keyword we can tell the JavaScript runtime that we want the function to behave like a constructor and instantiate a new object containing the members defined by that function. Within a constructor function the ‘this’ keyword references the new object being created -  so a basic constructor function might be: function Person(name, age) { this.name = name; this.age = age; this.toString = function() { return this.name + " is " + age + " years old."; }; } var john = new Person("John Galt", 50); console.log(john.toString()); Note that by convention the name of a constructor function is always written in Pascal Case (the first letter of each word is capital). This is to distinguish between constructor functions and other functions. It is important that constructor functions be called with the ‘new’ keyword and that not constructor functions are not. There are two problems with the pattern constructor function pattern shown above: It makes inheritance difficult The toString() function is redefined for each new object created by the Person constructor. This is sub-optimal because the function should be shared between all of the instances of the Person type. Constructor Functions with a Prototype JavaScript functions have a special property called prototype. When an object is created by calling a JavaScript constructor all of the properties of the constructor’s prototype become available to the new object. In this way many Person objects can be created that can access the same prototype. An improved version of the above example can be written: function Person(name, age) { this.name = name; this.age = age; } Person.prototype = { toString: function() { return this.name + " is " + this.age + " years old."; } }; var john = new Person("John Galt", 50); console.log(john.toString()); In this version a single instance of the toString() function will now be shared between all Person objects. Private Members The short version is: there aren’t any. If a variable is defined, with the var keyword, within the constructor function then its scope is that function. Other functions defined within the constructor function will be able to access the private variable, but anything defined outside the constructor (such as functions on the prototype property) won’t have access to the private variable. Any variables defined on the constructor are automatically public. Some people solve this problem by prefixing properties with an underscore and then not calling those properties by convention. function Person(name, age) { this.name = name; this.age = age; } Person.prototype = { _getName: function() { return this.name; }, toString: function() { return this._getName() + " is " + this.age + " years old."; } }; var john = new Person("John Galt", 50); console.log(john.toString()); Note that the _getName() function is only private by convention – it is in fact a public function. Functional Object Construction Because of the weirdness involved in using constructor functions some JavaScript developers prefer to eschew them completely. They theorize that it is better to work with JavaScript’s functional nature than to try and force it to behave like a traditional class-oriented language. When using the functional approach objects are created by returning them from a factory function. An excellent side effect of this pattern is that variables defined with the factory function are accessible to the new object (due to closure) but are inaccessible from anywhere else. The Person example implemented using the functional object construction pattern is: var personFactory = function(name, age) { var privateVar = 7; return { toString: function() { return name + " is " + age * privateVar / privateVar + " years old."; } }; }; var john2 = personFactory("John Lennon", 40); console.log(john2.toString()); Note that the ‘new’ keyword is not used for this pattern, and that the toString() function has access to the name, age and privateVar variables because of closure. This pattern can be extended to provide inheritance and, unlike the constructor function pattern, it supports private variables. However, when working with JavaScript code bases you will find that the constructor function is more common – probably because it is a better approximation of mainstream class oriented languages like C# and Java. Inheritance Both of the above patterns can support inheritance but for now, favour composition over inheritance. Summary When JavaScript code exceeds simple browser automation object orientation can provide a powerful paradigm for controlling complexity. Both of the patterns presented in this article work – the choice is a matter of style. Only one question still remains; who is John Galt?

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  • JavaScript Class Patterns

    - by Liam McLennan
    To write object-oriented programs we need objects, and likely lots of them. JavaScript makes it easy to create objects: var liam = { name: "Liam", age: Number.MAX_VALUE }; But JavaScript does not provide an easy way to create similar objects. Most object-oriented languages include the idea of a class, which is a template for creating objects of the same type. From one class many similar objects can be instantiated. Many patterns have been proposed to address the absence of a class concept in JavaScript. This post will compare and contrast the most significant of them. Simple Constructor Functions Classes may be missing but JavaScript does support special constructor functions. By prefixing a call to a constructor function with the ‘new’ keyword we can tell the JavaScript runtime that we want the function to behave like a constructor and instantiate a new object containing the members defined by that function. Within a constructor function the ‘this’ keyword references the new object being created -  so a basic constructor function might be: function Person(name, age) { this.name = name; this.age = age; this.toString = function() { return this.name + " is " + age + " years old."; }; } var john = new Person("John Galt", 50); console.log(john.toString()); Note that by convention the name of a constructor function is always written in Pascal Case (the first letter of each word is capital). This is to distinguish between constructor functions and other functions. It is important that constructor functions be called with the ‘new’ keyword and that not constructor functions are not. There are two problems with the pattern constructor function pattern shown above: It makes inheritance difficult The toString() function is redefined for each new object created by the Person constructor. This is sub-optimal because the function should be shared between all of the instances of the Person type. Constructor Functions with a Prototype JavaScript functions have a special property called prototype. When an object is created by calling a JavaScript constructor all of the properties of the constructor’s prototype become available to the new object. In this way many Person objects can be created that can access the same prototype. An improved version of the above example can be written: function Person(name, age) { this.name = name; this.age = age; } Person.prototype = { toString: function() { return this.name + " is " + this.age + " years old."; } }; var john = new Person("John Galt", 50); console.log(john.toString()); In this version a single instance of the toString() function will now be shared between all Person objects. Private Members The short version is: there aren’t any. If a variable is defined, with the var keyword, within the constructor function then its scope is that function. Other functions defined within the constructor function will be able to access the private variable, but anything defined outside the constructor (such as functions on the prototype property) won’t have access to the private variable. Any variables defined on the constructor are automatically public. Some people solve this problem by prefixing properties with an underscore and then not calling those properties by convention. function Person(name, age) { this.name = name; this.age = age; } Person.prototype = { _getName: function() { return this.name; }, toString: function() { return this._getName() + " is " + this.age + " years old."; } }; var john = new Person("John Galt", 50); console.log(john.toString()); Note that the _getName() function is only private by convention – it is in fact a public function. Functional Object Construction Because of the weirdness involved in using constructor functions some JavaScript developers prefer to eschew them completely. They theorize that it is better to work with JavaScript’s functional nature than to try and force it to behave like a traditional class-oriented language. When using the functional approach objects are created by returning them from a factory function. An excellent side effect of this pattern is that variables defined with the factory function are accessible to the new object (due to closure) but are inaccessible from anywhere else. The Person example implemented using the functional object construction pattern is: var john = new Person("John Galt", 50); console.log(john.toString()); var personFactory = function(name, age) { var privateVar = 7; return { toString: function() { return name + " is " + age * privateVar / privateVar + " years old."; } }; }; var john2 = personFactory("John Lennon", 40); console.log(john2.toString()); Note that the ‘new’ keyword is not used for this pattern, and that the toString() function has access to the name, age and privateVar variables because of closure. This pattern can be extended to provide inheritance and, unlike the constructor function pattern, it supports private variables. However, when working with JavaScript code bases you will find that the constructor function is more common – probably because it is a better approximation of mainstream class oriented languages like C# and Java. Inheritance Both of the above patterns can support inheritance but for now, favour composition over inheritance. Summary When JavaScript code exceeds simple browser automation object orientation can provide a powerful paradigm for controlling complexity. Both of the patterns presented in this article work – the choice is a matter of style. Only one question still remains; who is John Galt?

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  • ORA-4030 Troubleshooting

    - by [email protected]
    QUICKLINK: Note 399497.1 FAQ ORA-4030 Note 1088087.1 : ORA-4030 Diagnostic Tools [Video]   Have you observed an ORA-0430 error reported in your alert log? ORA-4030 errors are raised when memory or resources are requested from the Operating System and the Operating System is unable to provide the memory or resources.   The arguments included with the ORA-4030 are often important to narrowing down the problem. For more specifics on the ORA-4030 error and scenarios that lead to this problem, see Note 399497.1 FAQ ORA-4030.   Looking for the best way to diagnose? There are several available diagnostic tools (error tracing, 11g Diagnosibility, OCM, Process Memory Guides, RDA, OSW, diagnostic scripts) that collectively can prove powerful for identifying the cause of the ORA-4030.    Error Tracing   The ORA-4030 error usually occurs on the client workstation and for this reason, a trace file and alert log entry may not have been generated on the server side.  It may be necessary to add additional tracing events to get initial diagnostics on the problem. To setup tracing to trap the ORA-4030, on the server use the following in SQLPlus: alter system set events '4030 trace name heapdump level 536870917;name errorstack level 3';Once the error reoccurs with the event set, you can turn off  tracing using the following command in SQLPlus:alter system set events '4030 trace name context off; name context off';NOTE:   See more diagnostics information to collect in Note 399497.1  11g DiagnosibilityStarting with Oracle Database 11g Release 1, the Diagnosability infrastructure was introduced which places traces and core files into a location controlled by the DIAGNOSTIC_DEST initialization parameter when an incident, such as an ORA-4030 occurs.  For earlier versions, the trace file will be written to either USER_DUMP_DEST (if the error was caught in a user process) or BACKGROUND_DUMP_DEST (if the error was caught in a background process like PMON or SMON). The trace file may contain vital information about what led to the error condition.    Note 443529.1 11g Quick Steps to Package and Send Critical Error Diagnostic Informationto Support[Video]  Oracle Configuration Manager (OCM) Oracle Configuration Manager (OCM) works with My Oracle Support to enable proactive support capability that helps you organize, collect and manage your Oracle configurations. Oracle Configuration Manager Quick Start Guide Note 548815.1: My Oracle Support Configuration Management FAQ Note 250434.1: BULLETIN: Learn More About My Oracle Support Configuration Manager    General Process Memory Guides   An ORA-4030 indicates a limit has been reached with respect to the Oracle process private memory allocation.    Each Operating System will handle memory allocations with Oracle slightly differently. Solaris     Note 163763.1Linux       Note 341782.1IBM AIX   Notes 166491.1 and 123754.1HP           Note 166490.1Windows Note 225349.1, Note 373602.1, Note 231159.1, Note 269495.1, Note 762031.1Generic    Note 169706.1   RDAThe RDA report will show more detailed information about the database and Server Configuration. Note 414966.1 RDA Documentation Index Download RDA -- refer to Note 314422.1 Remote Diagnostic Agent (RDA) 4 - Getting Started OS Watcher (OSW)This tool is designed to gather Operating System side statistics to compare with the findings from the database.  This is a key tool in cases where memory usage is higher than expected on the server while not experiencing ORA-4030 errors currently. Reference more details on setup and usage in Note 301137.1 OS Watcher User Guide Diagnostic Scripts   Refer to Note 1088087.1 : ORA-4030 Diagnostic Tools [Video] Common Causes/Solutions The ORA-4030 can occur for a variety of reasons.  Some common causes are:   * OS Memory limit reached such as physical memory and/or swap/virtual paging.   For instance, IBM AIX can experience ORA-4030 issues related to swap scenarios.  See Note 740603.1 10.2.0.4 not using large pages on AIX for more on that problem. Also reference Note 188149.1 for pointers on 10g and stack size issues.* OS limits reached (kernel or user shell limits) that limit overall, user level or process level memory * OS limit on PGA memory size due to SGA attach address           Reference: Note 1028623.6 SOLARIS How to Relocate the SGA* Oracle internal limit on functionality like PL/SQL varrays or bulk collections. ORA-4030 errors will include arguments like "pl/sql vc2" "pmucalm coll" "pmuccst: adt/re".  See Coding Pointers for pointers on application design to get around these issues* Application design causing limits to be reached* Bug - space leaks, heap leaks   ***For reference to the content in this blog, refer to Note.1088267.1 Master Note for Diagnosing ORA-4030

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  • Personal search – the future of search

    - by jamiet
    [Four months ago I wrote a meandering blog post on another blogging site entitled Personal search – the future of search. The points I made therein are becoming more relevant to what I'm reading about and hoping to get involved in in the future so I'm re-posting here to a wider audience to hopefully get some more feedback and guage reaction to it. This has been prompted by the book Pull by David Siegel that is forming my current holiday reading (recommended to me by a commenter on my previous post Interesting things – Twitter annotations and your phone as a web server) and in particular by Siegel's notion of us all in the future having a personal online data vault.] My one-time colleague Paul Dawson recently wrote an article called The Future of Search and in it he proposed some interesting ideas. Some choice quotes: The growth of Chinese search giant Baidu is an indicator that fully localised and tailored content and offerings have great traction with local audiences This trend is already driving an increase in the use of specialist searches … Look at how Farecast is now integrated into Bing for example, or how Flightstats is now integrated into Google. Search does not necessarily have to begin with a keyword, but could start instead with a click or a touch. Take a look at Retrievr. Start drawing a picture in the box and see what happens. This is certainly search without the need for typing in keywords search technology has advanced greatly in recent years. The recent launch of Microsoft Live Labs’ Pivot has given us a taste of what we can expect to see in the future This really got me thinking about where search might go in the future and as my mind wandered I realised that as the amount of data that we collect about ourselves increases so too will the need and the desire to search it. The amount of electronic data that exists about each and every person is increasing and in the near future I fully expect that we are going to be able to store personal data such as: A history of our location (in fact Google Latitude already offers this facility) Recordings of all our phone conversations Health information history (weight, blood pressure etc…) Energy usage Spending history What films we watch, what radio stations we listen to Voting history Of course, most of this stuff is already stored somewhere but crucially we don’t have easy access to it. My utilities supplier knows how much electricity I’m using but if I want to know for myself I have to go and dig through my statements (assuming I have kept them). Similarly my doctor probably has ready access to all of my health records, my bank knows exactly what I have spent my money on, my cable supplier knows what I watch on TV and my mobile phone supplier probably knows exactly where I am and where I’ve been for the past few years. Strange then that none of this electronic information is available to me in a way that I can really make use of it; after all, its MY information. Its MY data. I created it. That is set to change. As technologies mature and customers become more technically cognizant they will demand more access to the data that companies hold about them. The companies themselves will realise the benefit that they derive from giving users what they want and will embrace ways of providing it. As a result the amount of data that we store about ourselves is going to increase exponentially and the desire to search and derive value from that data is going to grow with it; we are about to enter the era of the “personal datastore” and we will want, and need, to search through it in order to make sense of it all. Its interesting then that today when we think of search we think of search engines and yet in these personal datastores we’re referring to data that search engines can’t touch because WE own it and we (hopefully) choose to keep it private. Someone, I know not who, is going to lead in this space by making it easy for us to search our data and retrieve information that we have either forgotten or maybe didn’t even know in the first place. We will learn new things about ourselves and about our habits; we will share these findings with whomever we choose; we will compare what we discover with others; we will collaborate for mutual benefit and, most of all, we will educate ourselves as to how to live our lives better. Search will be the means to that end, it will enable us to make sense of the wealth of information that we will collect day in day out. The future of search is personal, why would we be interested in anything else? @Jamiet Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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  • Simple-Talk development: a quick history lesson

    - by Michael Williamson
    Up until a few months ago, Simple-Talk ran on a pure .NET stack, with IIS as the web server and SQL Server as the database. Unfortunately, the platform for the site hadn’t quite gotten the love and attention it deserved. On the one hand, in the words of our esteemed editor Tony “I’d consider the current platform to be a “success”; it cost $10K, has lasted for 6 years, was finished, end to end in 6 months, and although we moan about it has got us quite a long way.” On the other hand, it was becoming increasingly clear that it needed some serious work. Among other issues, we had authors that wouldn’t blog because our current blogging platform, Community Server, was too painful for them to use. Forgetting about Simple-Talk for a moment, if you ask somebody what blogging platform they’d choose, the odds are they’d say WordPress. Regardless of its technical merits, it’s probably the most popular blogging platform, and it certainly seemed easier to use than Community Server. The issue was that WordPress is normally hosted on a Linux stack running PHP, Apache and MySQL — quite a difference from our Microsoft technology stack. We certainly didn’t want to rewrite the entire site — we just wanted a better blogging platform, with the rest of the existing, legacy site left as is. At a very high level, Simple-Talk’s technical design was originally very straightforward: when your browser sends an HTTP request to Simple-Talk, IIS (the web server) takes the request, does some work, and sends back a response. In order to keep the legacy site running, except with WordPress running the blogs, a different design is called for. We now use nginx as a reverse-proxy, which can then delegate requests to the appropriate application: So, when your browser sends a request to Simple-Talk, nginx takes that request and checks which part of the site you’re trying to access. Most of the time, it just passes the request along to IIS, which can then respond in much the same way it always has. However, if your request is for the blogs, then nginx delegates the request to WordPress. Unfortunately, as simple as that diagram looks, it hides an awful lot of complexity. In particular, the legacy site running on IIS was made up of four .NET applications. I’ve already mentioned one of these applications, Community Server, which handled the old blogs as well as managing membership and the forums. We have a couple of other applications to manage both our newsletters and our articles, and our own custom application to do some of the rendering on the site, such as the front page and the articles. When I say that it was made up of four .NET applications, this might conjure up an image in your mind of how they fit together: You might imagine four .NET applications, each with their own database, communicating over well-defined APIs. Sadly, reality was a little disappointing: We had four .NET applications that all ran on the same database. Worse still, there were many queries that happily joined across tables from multiple applications, meaning that each application was heavily dependent on the exact data schema that each other application used. Add to this that many of the queries were at least dozens of lines long, and practically identical to other queries except in a few key spots, and we can see that attempting to replace one component of the system would be more than a little tricky. However, the problems with the old system do give us a good place to start thinking about desirable qualities from any changes to the platform. Specifically: Maintainability — the tight coupling between each .NET application made it difficult to update any one application without also having to make changes elsewhere Replaceability — the tight coupling also meant that replacing one component wouldn’t be straightforward, especially if it wasn’t on a similar Microsoft stack. We’d like to be able to replace different parts without having to modify the existing codebase extensively Reusability — we’d like to be able to combine the different pieces of the system in different ways for different sites Repeatable deployments — rather than having to deploy the site manually with a long list of instructions, we should be able to deploy the entire site with a single command, allowing you to create a new instance of the site easily whether on production, staging servers, test servers or your own local machine Testability — if we can deploy the site with a single command, and each part of the site is no longer dependent on the specifics of how every other part of the site works, we can begin to run automated tests against the site, and against individual parts, both to prevent regressions and to do a little test-driven development In the next part, I’ll describe the high-level architecture we now have that hopefully brings us a little closer to these five traits.

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  • C# 4.0: Covariance And Contravariance In Generics

    - by Paulo Morgado
    C# 4.0 (and .NET 4.0) introduced covariance and contravariance to generic interfaces and delegates. But what is this variance thing? According to Wikipedia, in multilinear algebra and tensor analysis, covariance and contravariance describe how the quantitative description of certain geometrical or physical entities changes when passing from one coordinate system to another.(*) But what does this have to do with C# or .NET? In type theory, a the type T is greater (>) than type S if S is a subtype (derives from) T, which means that there is a quantitative description for types in a type hierarchy. So, how does covariance and contravariance apply to C# (and .NET) generic types? In C# (and .NET), variance applies to generic type parameters and not to the resulting generic type. A generic type parameter is: covariant if the ordering of the generic types follows the ordering of the generic type parameters: Generic<T> = Generic<S> for T = S. contravariant if the ordering of the generic types is reversed from the ordering of the generic type parameters: Generic<T> = Generic<S> for T = S. invariant if neither of the above apply. If this definition is applied to arrays, we can see that arrays have always been covariant because this is valid code: object[] objectArray = new string[] { "string 1", "string 2" }; objectArray[0] = "string 3"; objectArray[1] = new object(); However, when we try to run this code, the second assignment will throw an ArrayTypeMismatchException. Although the compiler was fooled into thinking this was valid code because an object is being assigned to an element of an array of object, at run time, there is always a type check to guarantee that the runtime type of the definition of the elements of the array is greater or equal to the instance being assigned to the element. In the above example, because the runtime type of the array is array of string, the first assignment of array elements is valid because string = string and the second is invalid because string = object. This leads to the conclusion that, although arrays have always been covariant, they are not safely covariant – code that compiles is not guaranteed to run without errors. In C#, the way to define that a generic type parameter as covariant is using the out generic modifier: public interface IEnumerable<out T> { IEnumerator<T> GetEnumerator(); } public interface IEnumerator<out T> { T Current { get; } bool MoveNext(); } Notice the convenient use the pre-existing out keyword. Besides the benefit of not having to remember a new hypothetic covariant keyword, out is easier to remember because it defines that the generic type parameter can only appear in output positions — read-only properties and method return values. In a similar way, the way to define a type parameter as contravariant is using the in generic modifier: public interface IComparer<in T> { int Compare(T x, T y); } Once again, the use of the pre-existing in keyword makes it easier to remember that the generic type parameter can only be used in input positions — write-only properties and method non ref and non out parameters. Because covariance and contravariance apply only to the generic type parameters, a generic type definition can have both covariant and contravariant generic type parameters in its definition: public delegate TResult Func<in T, out TResult>(T arg); A generic type parameter that is not marked covariant (out) or contravariant (in) is invariant. All the types in the .NET Framework where variance could be applied to its generic type parameters have been modified to take advantage of this new feature. In summary, the rules for variance in C# (and .NET) are: Variance in type parameters are restricted to generic interface and generic delegate types. A generic interface or generic delegate type can have both covariant and contravariant type parameters. Variance applies only to reference types; if you specify a value type for a variant type parameter, that type parameter is invariant for the resulting constructed type. Variance does not apply to delegate combination. That is, given two delegates of types Action<Derived> and Action<Base>, you cannot combine the second delegate with the first although the result would be type safe. Variance allows the second delegate to be assigned to a variable of type Action<Derived>, but delegates can combine only if their types match exactly. If you want to learn more about variance in C# (and .NET), you can always read: Covariance and Contravariance in Generics — MSDN Library Exact rules for variance validity — Eric Lippert Events get a little overhaul in C# 4, Afterward: Effective Events — Chris Burrows Note: Because variance is a feature of .NET 4.0 and not only of C# 4.0, all this also applies to Visual Basic 10.

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