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  • Cutting Paper through Visualization and Collaboration

    - by [email protected]
    It's hard not to hear about "Going Green" these days. Many are working to be more environmentally conscious in their personal lives, and this has extended to the corporate world as well. I know I'm always looking for new ways. Environmental responsibility is important at Oracle too, and we have an entire section of our website dedicated to our solutions around the Eco-Enterprise. You can check it out here: http://www.oracle.com/green/index.html Perhaps the biggest and most obvious challenge in the world of business is the fact that we use so much paper. There are many good reasons why we print today too. For example: Printing off a document, spreadsheet, or CAD design that will be reviewed and marked up while on a plane Having a printout of a facility when a field engineer performs on-site maintenance During a multi-party design review where a number of people will review a drawing in a meeting room, scribbling onto a large scale drawing print to provide their collaborative comments These are just a few potential use cases, and they're valid ones. However, there's a way in which you can turn these paper processes into digital ones. AutoVue allows you to view, mark-up, and collaborate on all the data you would print. Indeed, this is the core of what AutoVue does. So if we take the examples above, we could address each as follows: Allow you to view the document, spreadsheet, or CAD drawing in AutoVue on your laptop. Even if you originally had this data vaulted in some time of system of record (like an ECM solution) and view your data from there, AutoVue allows you to "Work Offline" and take the documents you need to review on your laptop. From there, the many annotation tools in AutoVue will give you what you need to comment upon the documents that you are reviewing. The challenge with the mobile workforce is always access to information. People who perform maintenance and repair operations often are in locations with little to no Internet connectivity. However, technology is coming to these people in the form of laptops, tablet PCs, and other portable devices too. AutoVue can address situations with limited bandwidth through our streaming technology for viewing, meaning that the most up to date information can be pulled up from the central server - without the need for large data transfer. When there is no connectivity at all, the "Work Offline" option will handle this. For a design review session, the Real-Time Collaboration capabilities of AutoVue will let all the participants view the same document in a synchronized view, allowing each person to be able to mark-up the document at the same time. Since this is done in a web-based manner, not only is it not necessary to print the document, but you benefit by reducing the travel needed for these sessions. Not only are trees spared, but jet fuel as well. There are many steps involved with "Going Green", but each step is a necessary one. What we do today will directly influence our future generations, and we're looking to help.

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  • Video: How To Prepare Delicious Onion Samosa

    - by Gopinath
    Ulli Samosa (Onion Samosa) is one of my favourite snacks I use to eat while in Andhra Pradesh. But after coming to Chennai, it’s very tough to find these Samosas in shops. Last weekend I was searching for almost 2 hours and could not find a single shop. The best way to enjoy this delicious Samosas in Chennai is to prepare them at home and thanks to this Vah Reh Vah for posting this video on YouTube with detailed instructions on preparation of Ulli Samosa. We will be trying out this recipe today evening. Update: We followed the instructions in the video and could not prepare the Somasa we were expecting. In this preparation method, stuff inside Samosa was raw and I did not like the taste . By the way, it’s just me who did not like it. If you are looking for detailed preparation instructions in text so that you can take printout for handy reference, check this Vah Reh Vah website This article titled,Video: How To Prepare Delicious Onion Samosa, was originally published at Tech Dreams. Grab our rss feed or fan us on Facebook to get updates from us.

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  • New T-SQL Features in SQL Server 2011

    - by Divya Agrawal
    SQL Server 2011 (or Denali) CTP is now available and can be downloaded at http://www.microsoft.com/downloads/en/details.aspx?FamilyID=6a04f16f-f6be-4f92-9c92-f7e5677d91f9&displaylang=en SQL Server 2011 has several major enhancements including a new look for SSMS. SSMS is now   similar to Visual Studio   with greatly improved Intellisense support. This article we will focus on the T-SQL Enhancements in SQL Server 2011. The main [...]

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  • Content Encryption Options in Oracle IRM 11g

    - by martin.abrahams
    Another of the innovations in Oracle IRM 11g is a wider choice of encryption algorithms for protecting content. The choice is now as illustrated below. As you see, three of the choices are marked as FIPS options, where FIPS refers to the Federal Information Processing Standard Publication 140-2, a U.S. government security standard for accreditation of cryptographic modules.

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  • F# in ASP.NET, mathematics and testing

    - by DigiMortal
    Starting from Visual Studio 2010 F# is full member of .NET Framework languages family. It is functional language with syntax specific to functional languages but I think it is time for us also notice and study functional languages. In this posting I will show you some examples about cool things other people have done using F#. F# and ASP.NET As I am ASP/ASP.NET MVP I am – of course – interested in how people use different languages and technologies with ASP.NET. C# MVP Tomáš Petrícek writes about developing ASP.NET MVC applications using F#. He also shows how to use LINQ To SQL in F# (using F# PowerPack) and provides sample solution and Visual Studio 2010 template for F# MVC web applications. You may also find interesting how you can create controllers in F#. Excellent work, Tomáš! Vladimir Matveev has interesting example about how to use F# and ApplicationHost class to process ASP.NET requests ouside of IIS. This is simple and very straight-forward example and I strongly suggest you to take a look at it. Very cool example is project Strom in Codeplex. Storm is web services testing tool that is fully written on F#. Take a look at this site because Codeplex offers also source code besides binaries. Math Functional languages are strong in fields like mathematics and physics. When I wrote my C# example about BigInteger class I found out that recursive version of Fibonacci algorithm in C# is not performing well. In same time I made same experiment on F# and in F# there were no performance problems with recursive version. You can find F# version of Fibonacci algorithm from Bob Palmer’s blog posting Fibonacci numbers in F#. Although golden spiral is useful for solving many problems I looked for some practical code example and found one. Kean Walmsley published in his Through the Interface blog very interesting posting Creating Fibonacci spirals in AutoCAD using F#. There are also other cool examples you may be interested in. Using numerical components by Extreme Optimization  it is possible to make some numerical integration (quadrature method) using F# (also C# example is available). fsharp.it introduces factorials calculation on F#. Robert Pickering has made very good work on programming The Game of Life in Silverlight and F# – I definitely suggest you to try out this example as it is very illustrative too. Who wants something more complex may take a look at Newton basin fractal example in F# by Jonathan Birge. Testing After some searching and surfing I found out that there is almost everything available for F# to write tests and test your F# code. FsCheck - FsCheck is a port of Haskell's QuickCheck. Important parts of the manual for using FsCheck is almost literally "adapted" from the QuickCheck manual and paper. Any errors and omissions are entirely my responsibility. FsTest - This project is designed to Language Oriented Programming constructs around unit testing and behavior testing in F#. The goal of this project is to create a Domain Specific Language for testing F# code in a way that makes sense for functional programming. FsUnit - FsUnit makes unit-testing with F# more enjoyable. It adds a special syntax to your favorite .NET testing framework. xUnit.NET - xUnit.net is a developer testing framework, built to support Test Driven Development, with a design goal of extreme simplicity and alignment with framework features. It is compatible with .NET Framework 2.0 and later, and offers several runners: console, GUI, MSBuild, and Visual Studio integration via TestDriven.net, CodeRush Test Runner and Resharper. It also offers test project integration for ASP.NET MVC. Getting started Well, as a first thing you need Visual Studio 2010. Then take a look at these resources: F# samples @ MSDN Microsoft F# Developer Center @ MSDN F# Language Reference @ MSDN F# blog F# forums Real World Functional Programming: With Examples in F# and C# (Amazon) Happy F#-ing! :)

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  • Samsung introduces smart watch. But without any smartness!

    - by Gopinath
    The era of mobile phone can be classified as before iPhone and after iPhone. When iPhone was introduced they were revolutionary, smart, awesome and technologically far advanced than any other phone available in the market. iPhone is the first true smartphone and a game changer. With the same goal in mind, Samsung tried revolutionizing watch industry by announcing Galaxy Gear watches. They branded them as a smart watch, hyped its release as if it’s going to revolutionize the way we use watches. But in reality there is nothing exciting about it. Instead it’s an expensive (300$) one, battery lasts less than a day, user interface is very very slow, has small memory capacity, not much of use if not connected to a Samsung phone!! With so many negative, how can it be a smart watch? Reviews on Galaxy Gear smart watch The Next Web Smartwatches are still too dumb The Verge Samsung’s Galaxy Gear isn’t really a smartwatch Gizmodo $300 is a lot for a souped up fitness tracker, and as far as the basic smartphone functions Galaxy Gear is capable of, those feel a little strange and counterintuitive ZD NET Samsung has left the door wide open with the Galaxy Gear, which looks both rushed and exorbitantly priced at the same time. Few Tweets on Galaxy Gear 1. Apple surprises with iPhone 2. Tablet rumors 3. Others rush crap to market 4. iPad 5. ‘iWatch’ Rumors 6. Others rush crap to market 7. ? — Matthew Panzarino (@panzer) September 4, 2013 Camera, phone, music… There’s one thing that the Gear doesn’t seem to have: a purpose | http://t.co/raK4Rgy6Fm by @SamGrobart — Businessweek (@BW) September 5, 2013   Galaxy Gear Video demo shows how slow it is Here is a Galaxy Gear hands on video from slashgear. You can see how slow the device performs   With the rumors of Apple building smart watch, Samsung rushed to the market with its own version of (smart) watch as a preemptive strike. But with a half baked product and without any innovation it back fired on it own reputation. This would’ve been great chance to Samsung to prove that the company is innovative and not a copy cat. But it failed to innovate and missed a chance.

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  • New Whitepaper: Oracle E-Business Suite on Exadata

    - by Steven Chan
    Our Maximum Availability Architecture (MAA) team has quietly been amassing a formidable set of whitepapers about the Oracle Exadata Database Machine.  They're available here:MAA Best Practices - Exadata Database MachineIf you're one of the lucky ones with access to this hardware platform, you'll be pleased to hear that the MAA team has just published a new whitepaper with best practices for EBS environments:Oracle E-Business Suite on ExadataThis whitepaper covers the following topics:Getting to Exadata -- a high level overview of fresh installation on, and migration to, Exadata Database Machine with pointers to more detailed documentation High Availability and Disaster Recovery -- an overview of our MAA best practices with pointers to our detailed MAA Best Practices documentation Performance and Scalability -- best practices for running Oracle E-Business Suite on Exadata Database Machine based on our internal testing

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  • The Oracle Retail Week Awards - most exciting awards yet?

    - by sarah.taylor(at)oracle.com
    Last night's annual Oracle Retail Week Awards saw the UK's top retailers come together to celebrate the very best of our industry over the last year.  The Grosvenor House Hotel on Park Lane in London was the setting for an exciting ceremony which this year marked several significant milestones in British - and global - retail.  Check out our videos about the event at our Oracle Retail YouTube channel, and see if you were snapped by our photographer on our Oracle Retail Facebook page. There were some extremely hot contests for many of this year's awards - and all very deserving winners.  The entries have demonstrated beyond doubt that retailers have striven to push their standards up yet again in all areas over the past year.  The judging panel includes some of the most prestigious names in the retail industry - to impress the panel enough to win an award is a substantial achievement.  This year the panel included the likes of Andy Clarke - Chief Executive of ASDA Group; Mark Newton Jones - CEO of Shop Direct Group; Richard Pennycook - the finance director at Morrisons; Rob Templeman - Chief Executive of Debenhams; and Stephen Sunnucks - the president of Gap Europe.  These are retail veterans  who have each helped to shape the British High Street over the last decade.  It was great to chat with many of them in the Oracle VIP area last night.  For me, last night's highlight was honouring both Sir Stuart Rose and Sir Terry Leahy for their contributions to the retail industry.  Both have set the standards in retailing over the last twenty years and taken their respective businesses from strength to strength, demonstrating that there is always a need for innovation even in larger businesses, and that a business has to adapt quickly to new technology in order to stay competitive.  Sir Terry Leahy's retirement this year marks the end of an era of global expansion for the Tesco group and a milestone in the progression of British retail.  Sir Terry has helped steer Tesco through nearly 20 years of change, with 14 years as Chief Executive.  During this time he led the drive for international expansion and an aggressive campaign to increase market share.  He has led the way for High Street retailers in adapting to the rise of internet retailing and nurtured a very successful home delivery service.  More recently he has pioneered the notion of cross-channel retailing with the introduction of Tesco apps for the iPhone and Android mobile phones allowing customers to scan barcodes of items to add to a shopping list which they can then either refer to in store or order for delivery.  John Lewis Partnership was a very deserving winner of The Oracle Retailer of the Year award for their overall dedication to excellent retailing practices.  The business was also named the American Express Marketing/Advertising Campaign of the Year award for their memorable 'Never Knowingly Undersold' advert series, which included a very successful viral video and radio campaign with Fyfe Dangerfield's cover of Billy Joel's 'She's Always a Woman' used for the adverts.  Store Design of the Year was another exciting category with Topshop taking the accolade for its flagship Oxford Street store in London, which combines boutique concession-style stalls with high fashion displays and exclusive collections from leading designers.  The store even has its own hairdressers and food hall, making it a truly all-inclusive fashion retail experience and a global landmark for any self-respecting international fashion shopper. Over the next few weeks we'll be exploring some of the winning entries in more detail here on the blog, so keep an eye out for some unique insights into how the winning retailers have made such remarkable achievements. 

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  • Global Indian Developer Summit (GIDS), JavaOne Moscow, Java Summit Chennai

    - by arungupta
    My whirlwind tour of Java EE and GlassFish starts next weekend and covers the following cities in the next 6 weeks: JavaOne and Oracle Develop, Moscow Global Indian Developer Summit, Bangalore Java Summit, Chennai JavaOne, Hyderabad OTN Developer Day, Pune OTN Developer Day, Istanbul Geecon, Poznan JEEConf, Kiev OTN Developer Day, Johannesburg Several other members of the team will be speaking at some of these events as well. Please feel free to reach out to any of us, ask a question, and share your passion. Here is the first set of conferences coming up: Date: Apr 17-18 Schedule My Schedule       Deploying your Java EE 6 Applications in Producion hands-on lab       Technical Keynote       Some other technical sessions Venue: Russian Academy of Sciences Register Connect: @OracleRU Date: April 17-20 Schedule (date decided, time slots TBD) My Schedule: NetBeans/Java EE 6 workshop on April 19th, Other sessions (as listed above) on April 20 Venue: J. N. Tata Auditorium, National Science Symposium Complex, Sir C. V. Raman Avenue, Bangalore, India Register Connect: @GreatIndianDev Date: April 21, 2011 Schedule My Schedule: Java EE 7 at 9:30am, JAX-RS 2.0 at 11am Venue: VELS University Register (FREE) Connect: @jug_c Where will I meet or run with you ? Do ask me to record a video session if you are using GlassFish and would like to share your story at blogs.oracle.com/stories.

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  • My Code Kata–A Solution Kata

    - by Glav
    There are many developers and coders out there who like to do code Kata’s to keep their coding ability up to scratch and to practice their skills. I think it is a good idea. While I like the concept, I find them dead boring and of minimal purpose. Yes, they serve to hone your skills but that’s about it. They are often quite abstract, in that they usually focus on a small problem set requiring specific solutions. It is fair enough as that is how they are designed but again, I find them quite boring. What I personally like to do is go for something a little larger and a little more fun. It takes a little more time and is not as easily executed as a kata though, but it services the same purposes from a practice perspective and allows me to continue to solve some problems that are not directly part of the initial goal. This means I can cover a broader learning range and have a bit more fun. If I am lucky, sometimes they even end up being useful tools. With that in mind, I thought I’d share my current ‘kata’. It is not really a code kata as it is too big. I prefer to think of it as a ‘solution kata’. The code is on bitbucket here. What I wanted to do was create a kind of simplistic virtual world where I can create a player, or a class, stuff it into the world, and see if it survives, and can navigate its way to the exit. Requirements were pretty simple: Must be able to define a map to describe the world using simple X,Y co-ordinates. Z co-ordinates as well if you feel like getting clever. Should have the concept of entrances, exists, solid blocks, and potentially other materials (again if you want to get clever). A coder should be able to easily write a class which will act as an inhabitant of the world. An inhabitant will receive stimulus from the world in the form of surrounding environment and be able to make a decision on action which it passes back to the ‘world’ for processing. At a minimum, an inhabitant will have sight and speed characteristics which determine how far they can ‘see’ in the world, and how fast they can move. Coders who write a really bad ‘inhabitant’ should not adversely affect the rest of world. Should allow multiple inhabitants in the world. So that was the solution I set out to act as a practice solution and a little bit of fun. It had some interesting problems to solve and I figured, if it turned out ok, I could potentially use this as a ‘developer test’ for interviews. Ask a potential coder to write a class for an inhabitant. Show the coder the map they will navigate, but also mention that we will use their code to navigate a map they have not yet seen and a little more complex. I have been playing with solution for a short time now and have it working in basic concepts. Below is a screen shot using a very basic console visualiser that shows the map, boundaries, blocks, entrance, exit and players/inhabitants. The yellow asterisks ‘*’ are the players, green ‘O’ the entrance, purple ‘^’ the exit, maroon/browny ‘#’ are solid blocks. The players can move around at different speeds, knock into each others, and make directional movement decisions based on what they see and who is around them. It has been quite fun to write and it is also quite fun to develop different players to inject into the world. The code below shows a really simple implementation of an inhabitant that can work out what to do based on stimulus from the world. It is pretty simple and just tries to move in some direction if there is nothing blocking the path. public class TestPlayer:LivingEntity { public TestPlayer() { Name = "Beta Boy"; LifeKey = Guid.NewGuid(); } public override ActionResult DecideActionToPerform(EcoDev.Core.Common.Actions.ActionContext actionContext) { try { var action = new MovementAction(); // move forward if we can if (actionContext.Position.ForwardFacingPositions.Length > 0) { if (CheckAccessibilityOfMapBlock(actionContext.Position.ForwardFacingPositions[0])) { action.DirectionToMove = MovementDirection.Forward; return action; } } if (actionContext.Position.LeftFacingPositions.Length > 0) { if (CheckAccessibilityOfMapBlock(actionContext.Position.LeftFacingPositions[0])) { action.DirectionToMove = MovementDirection.Left; return action; } } if (actionContext.Position.RearFacingPositions.Length > 0) { if (CheckAccessibilityOfMapBlock(actionContext.Position.RearFacingPositions[0])) { action.DirectionToMove = MovementDirection.Back; return action; } } if (actionContext.Position.RightFacingPositions.Length > 0) { if (CheckAccessibilityOfMapBlock(actionContext.Position.RightFacingPositions[0])) { action.DirectionToMove = MovementDirection.Right; return action; } } return action; } catch (Exception ex) { World.WriteDebugInformation("Player: "+ Name, string.Format("Player Generated exception: {0}",ex.Message)); throw ex; } } private bool CheckAccessibilityOfMapBlock(MapBlock block) { if (block == null || block.Accessibility == MapBlockAccessibility.AllowEntry || block.Accessibility == MapBlockAccessibility.AllowExit || block.Accessibility == MapBlockAccessibility.AllowPotentialEntry) { return true; } return false; } } It is simple and it seems to work well. The world implementation itself decides the stimulus context that is passed to he inhabitant to make an action decision. All movement is carried out on separate threads and timed appropriately to be as fair as possible and to cater for additional skills such as speed, and eventually maybe stamina, strength, with actions like fighting. It is pretty fun to make up random maps and see how your inhabitant does. You can download the code from here. Along the way I have played with parallel extensions to make the compute intensive stuff spread across all cores, had to heavily factor in visibility of methods and properties so design of classes was paramount, work out movement algorithms that play fairly in the world and properly favour the players with higher abilities, as well as a host of other issues. So that is my ‘solution kata’. If I keep going with it, I may develop a web interface for it where people can upload assemblies and watch their player within a web browser visualiser and maybe even a map designer. What do you do to keep the fires burning?

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  • Simple Netduino Go Tutorial Flashing RGB LEDs with a potentiometer

    - by Chris Hammond
    In case you missed the announcement on 4/4, the guys and Secret Labs, along with other members of the Netduino Community have come out with a new platform called Netduino Go . Head on over www.netduino.com for the introduction forum post . This post is how to quickly get up and running with your Netduino Go, based on Chris Walker’s getting started forum post , with some enhancements that I think will make it easier to get up and running, as Chris’ post unfortunately leaves a few things out. Hardware...(read more)

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  • Remembering September 11 - 11 Years Later

    - by user12613380
    It's September 11 again and time to reminisce about that fateful day when the world came together as one. The attacks of that day touched everyone around the world as almost 3000 people from the United States and 38 other countries were killed. This year, I am finding it difficult to say anything other than what I have said in previous years. So, I will not try to "wax loquacious." Instead, I will simply say that I will never forgot. I will not forget where I was on that day. I will not forgot the people who died. I will not forget the people who gave their lives so that others might live. And I will not forget how our world changed on that day. And with that remembrance, we again return to our lives, using tragedy to drive us to build a world of peace and opportunity. My thanks go out again to the men and women, uniformed or not, who continue to protect us from harm. May we never again experience such human tragedy, on U.S. soil or elsewhere.

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  • Provisioning Videos

    - by Owen Allen
    There are a couple of new videos up on the Oracle Learning Youtube channel about Ops Center's provisioning capabilities. Simon Hayler does a walkthrough of a couple of different procedures. The first video shows you how to provision Oracle Solaris zones. It explains how to create an Oracle Solaris Zone profile, and then how to apply it (using a deployment plan) to a target system. The second video shows you how to provision an x86 server with Oracle Solaris. This uses a very similar process - you create a OS provisioning profile, then use a deployment plan to apply it to the target hardware. The documentation goes over OS provisioning and zone creation in the Feature Guide, if you're looking for additional information.

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  • Using TPL and PLINQ to raise performance of feed aggregator

    - by DigiMortal
    In this posting I will show you how to use Task Parallel Library (TPL) and PLINQ features to boost performance of simple RSS-feed aggregator. I will use here only very basic .NET classes that almost every developer starts from when learning parallel programming. Of course, we will also measure how every optimization affects performance of feed aggregator. Feed aggregator Our feed aggregator works as follows: Load list of blogs Download RSS-feed Parse feed XML Add new posts to database Our feed aggregator is run by task scheduler after every 15 minutes by example. We will start our journey with serial implementation of feed aggregator. Second step is to use task parallelism and parallelize feeds downloading and parsing. And our last step is to use data parallelism to parallelize database operations. We will use Stopwatch class to measure how much time it takes for aggregator to download and insert all posts from all registered blogs. After every run we empty posts table in database. Serial aggregation Before doing parallel stuff let’s take a look at serial implementation of feed aggregator. All tasks happen one after other. internal class FeedClient {     private readonly INewsService _newsService;     private const int FeedItemContentMaxLength = 255;       public FeedClient()     {          ObjectFactory.Initialize(container =>          {              container.PullConfigurationFromAppConfig = true;          });           _newsService = ObjectFactory.GetInstance<INewsService>();     }       public void Execute()     {         var blogs = _newsService.ListPublishedBlogs();           for (var index = 0; index <blogs.Count; index++)         {              ImportFeed(blogs[index]);         }     }       private void ImportFeed(BlogDto blog)     {         if(blog == null)             return;         if (string.IsNullOrEmpty(blog.RssUrl))             return;           var uri = new Uri(blog.RssUrl);         SyndicationContentFormat feedFormat;           feedFormat = SyndicationDiscoveryUtility.SyndicationContentFormatGet(uri);           if (feedFormat == SyndicationContentFormat.Rss)             ImportRssFeed(blog);         if (feedFormat == SyndicationContentFormat.Atom)             ImportAtomFeed(blog);                 }       private void ImportRssFeed(BlogDto blog)     {         var uri = new Uri(blog.RssUrl);         var feed = RssFeed.Create(uri);           foreach (var item in feed.Channel.Items)         {             SaveRssFeedItem(item, blog.Id, blog.CreatedById);         }     }       private void ImportAtomFeed(BlogDto blog)     {         var uri = new Uri(blog.RssUrl);         var feed = AtomFeed.Create(uri);           foreach (var item in feed.Entries)         {             SaveAtomFeedEntry(item, blog.Id, blog.CreatedById);         }     } } Serial implementation of feed aggregator downloads and inserts all posts with 25.46 seconds. Task parallelism Task parallelism means that separate tasks are run in parallel. You can find out more about task parallelism from MSDN page Task Parallelism (Task Parallel Library) and Wikipedia page Task parallelism. Although finding parts of code that can run safely in parallel without synchronization issues is not easy task we are lucky this time. Feeds import and parsing is perfect candidate for parallel tasks. We can safely parallelize feeds import because importing tasks doesn’t share any resources and therefore they don’t also need any synchronization. After getting the list of blogs we iterate through the collection and start new TPL task for each blog feed aggregation. internal class FeedClient {     private readonly INewsService _newsService;     private const int FeedItemContentMaxLength = 255;       public FeedClient()     {          ObjectFactory.Initialize(container =>          {              container.PullConfigurationFromAppConfig = true;          });           _newsService = ObjectFactory.GetInstance<INewsService>();     }       public void Execute()     {         var blogs = _newsService.ListPublishedBlogs();                var tasks = new Task[blogs.Count];           for (var index = 0; index <blogs.Count; index++)         {             tasks[index] = new Task(ImportFeed, blogs[index]);             tasks[index].Start();         }           Task.WaitAll(tasks);     }       private void ImportFeed(object blogObject)     {         if(blogObject == null)             return;         var blog = (BlogDto)blogObject;         if (string.IsNullOrEmpty(blog.RssUrl))             return;           var uri = new Uri(blog.RssUrl);         SyndicationContentFormat feedFormat;           feedFormat = SyndicationDiscoveryUtility.SyndicationContentFormatGet(uri);           if (feedFormat == SyndicationContentFormat.Rss)             ImportRssFeed(blog);         if (feedFormat == SyndicationContentFormat.Atom)             ImportAtomFeed(blog);                }       private void ImportRssFeed(BlogDto blog)     {          var uri = new Uri(blog.RssUrl);          var feed = RssFeed.Create(uri);           foreach (var item in feed.Channel.Items)          {              SaveRssFeedItem(item, blog.Id, blog.CreatedById);          }     }     private void ImportAtomFeed(BlogDto blog)     {         var uri = new Uri(blog.RssUrl);         var feed = AtomFeed.Create(uri);           foreach (var item in feed.Entries)         {             SaveAtomFeedEntry(item, blog.Id, blog.CreatedById);         }     } } You should notice first signs of the power of TPL. We made only minor changes to our code to parallelize blog feeds aggregating. On my machine this modification gives some performance boost – time is now 17.57 seconds. Data parallelism There is one more way how to parallelize activities. Previous section introduced task or operation based parallelism, this section introduces data based parallelism. By MSDN page Data Parallelism (Task Parallel Library) data parallelism refers to scenario in which the same operation is performed concurrently on elements in a source collection or array. In our code we have independent collections we can process in parallel – imported feed entries. As checking for feed entry existence and inserting it if it is missing from database doesn’t affect other entries the imported feed entries collection is ideal candidate for parallelization. internal class FeedClient {     private readonly INewsService _newsService;     private const int FeedItemContentMaxLength = 255;       public FeedClient()     {          ObjectFactory.Initialize(container =>          {              container.PullConfigurationFromAppConfig = true;          });           _newsService = ObjectFactory.GetInstance<INewsService>();     }       public void Execute()     {         var blogs = _newsService.ListPublishedBlogs();                var tasks = new Task[blogs.Count];           for (var index = 0; index <blogs.Count; index++)         {             tasks[index] = new Task(ImportFeed, blogs[index]);             tasks[index].Start();         }           Task.WaitAll(tasks);     }       private void ImportFeed(object blogObject)     {         if(blogObject == null)             return;         var blog = (BlogDto)blogObject;         if (string.IsNullOrEmpty(blog.RssUrl))             return;           var uri = new Uri(blog.RssUrl);         SyndicationContentFormat feedFormat;           feedFormat = SyndicationDiscoveryUtility.SyndicationContentFormatGet(uri);           if (feedFormat == SyndicationContentFormat.Rss)             ImportRssFeed(blog);         if (feedFormat == SyndicationContentFormat.Atom)             ImportAtomFeed(blog);                }       private void ImportRssFeed(BlogDto blog)     {         var uri = new Uri(blog.RssUrl);         var feed = RssFeed.Create(uri);           feed.Channel.Items.AsParallel().ForAll(a =>         {             SaveRssFeedItem(a, blog.Id, blog.CreatedById);         });      }        private void ImportAtomFeed(BlogDto blog)      {         var uri = new Uri(blog.RssUrl);         var feed = AtomFeed.Create(uri);           feed.Entries.AsParallel().ForAll(a =>         {              SaveAtomFeedEntry(a, blog.Id, blog.CreatedById);         });      } } We did small change again and as the result we parallelized checking and saving of feed items. This change was data centric as we applied same operation to all elements in collection. On my machine I got better performance again. Time is now 11.22 seconds. Results Let’s visualize our measurement results (numbers are given in seconds). As we can see then with task parallelism feed aggregation takes about 25% less time than in original case. When adding data parallelism to task parallelism our aggregation takes about 2.3 times less time than in original case. More about TPL and PLINQ Adding parallelism to your application can be very challenging task. You have to carefully find out parts of your code where you can safely go to parallel processing and even then you have to measure the effects of parallel processing to find out if parallel code performs better. If you are not careful then troubles you will face later are worse than ones you have seen before (imagine error that occurs by average only once per 10000 code runs). Parallel programming is something that is hard to ignore. Effective programs are able to use multiple cores of processors. Using TPL you can also set degree of parallelism so your application doesn’t use all computing cores and leaves one or more of them free for host system and other processes. And there are many more things in TPL that make it easier for you to start and go on with parallel programming. In next major version all .NET languages will have built-in support for parallel programming. There will be also new language constructs that support parallel programming. Currently you can download Visual Studio Async to get some idea about what is coming. Conclusion Parallel programming is very challenging but good tools offered by Visual Studio and .NET Framework make it way easier for us. In this posting we started with feed aggregator that imports feed items on serial mode. With two steps we parallelized feed importing and entries inserting gaining 2.3 times raise in performance. Although this number is specific to my test environment it shows clearly that parallel programming may raise the performance of your application significantly.

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  • New Year's resolution 2012

    Same procedure as every year... Hundreds of thousands of people have their annual new year's resolution to begin the new year. And so am I. My resolution for 2012: Writing more blog articles (again). Actually, it's quite difficult to find to proper time and space to write up an article for any kind of blog, newspaper or magazine. Especially, when you are very busy with daily work and fulfilling customers demands with very tight schedules. But seriously, I'll try to keep it up with at least one or two articles per month during 2012. There are quite some good topics to write about in the queue. Cheers, JoKi

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  • So which null equals this null, that null? maybe this null, or is it this null?

    - by GrumpyOldDBA
    Tuning takes many routes and I get into some interesting situations and often make some exciting finds, see http://sqlblogcasts.com/blogs/grumpyolddba/archive/2010/05/17/just-when-you-thought-it-was-safe.aspx for an example. Today I encountered a multitude of Foreign Key constraints on a table, now FKs are often candidates for indexes and as none of the defined keys had an index it required a closer look. I view foreign key constraints as somewhat of a pain, excessive keys can cause excessive related...(read more)

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  • Do Repeat Yourself in Unit Tests

    - by João Angelo
    Don’t get me wrong I’m a big supporter of the DRY (Don’t Repeat Yourself) Principle except however when it comes to unit tests. Why? Well, in my opinion a unit test should be a self-contained group of actions with the intent to test a very specific piece of code and should not depend on externals shared with other unit tests. In a typical unit test we can divide its code in two major groups: Preparation of preconditions for the code under test; Invocation of the code under test. It’s in the first group that you are tempted to refactor common code in several unit tests into helper methods that can then be called in each one of them. Another way to not duplicate code is to use the built-in infrastructure of some unit test frameworks such as SetUp/TearDown methods that automatically run before and after each unit test. I must admit that in the past I was guilty of both charges but what at first seemed a good idea since I was removing code duplication turnout to offer no added value and even complicate the process when a given test fails. We love unit tests because of their rapid feedback when something goes wrong. However, this feedback requires most of the times reading the code for the failed test. Given this, what do you prefer? To read a single method or wander through several methods like SetUp/TearDown and private common methods. I say it again, do repeat yourself in unit tests. It may feel wrong at first but I bet you won’t regret it later.

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  • Customer Support Spotlight: Clemson University

    - by cwarticki
    I've begun a Customer Support Spotlight series that highlights our wonderful customers and Oracle loyalists.  A week ago I visited Clemson University.  As I travel to visit and educate our customers, I provide many useful tips/tricks and support best practices (as found on my blog and twitter). Most of all, I always discover an Oracle gem who deserves recognition for their hard work and advocacy. Meet George Manley.  George is a Storage Engineer who has worked in Clemson's Data Center all through college, partially in the Hardware Architecture group and partially in the Storage group. George and the rest of the Storage Team work with most all of the storage technologies that they have here at Clemson. This includes a wide array of different vendors' disk arrays, with the most of them being Oracle/Sun 2540's.  He also works with SAM/QFS, ACSLS, and our SL8500 Tape Libraries (all three Oracle/Sun products). (pictured L to R, Matt Schoger (Oracle), Mark Flores (Oracle) and George Manley) George was kind enough to take us for a data center tour.  It was amazing.  I rarely get to see the inside of data centers, and this one was massive. Clemson Computing and Information Technology’s physical resources include the main data center located in the Information Technology Center at the Innovation Campus and Technology Park. The core of Clemson’s computing infrastructure, the data center has 21,000 sq ft of raised floor and is powered by a 14MW substation. The ITC power capacity is 4.5MW.  The data center is the home of both enterprise and HPC systems, and is staffed by CCIT staff on a 24 hour basis from a state of the art network operations center within the ITC. A smaller business continuance data center is located on the main campus.  The data center serves a wide variety of purposes including HPC (supercomputing) resources which are shared with other Universities throughout the state, the state's medicaid processing system, and nearly all other needs for Clemson University. Yes, that's no typo (14,256 cores and 37TB of memory!!! Thanks for the tour George and thank you very much for your time.  The tour was fantastic. I enjoyed getting to know your team and I look forward to many successes from Clemson using Oracle products. -Chris WartickiGlobal Customer Management

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  • How to use the Netduino Go Piezo Buzzer Module

    - by Chris Hammond
    Originally posted on ChrisHammond.com Over the next couple of days people should be receiving their Netduino Go Piezo Buzzer Modules , at least if they have ordered them from Amazon. I was lucky enough to get mine very quickly from Amazon and put together a sample project the other night. This is by no means a complex project, and most of it is code from the public domain for projects based on the original Netduino. Project Overview So what does the project do? Essentially it plays 3 “tunes” that...(read more)

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  • JavaServer Faces 2.0 for the Cloud

    - by Janice J. Heiss
    A new article now up on otn/java by Deepak Vohra titled “JSF 2.0 for the Cloud, Part One,” shows how JavaServer Faces 2.0 provides features ideally suited for the virtualized computing resources of the cloud. The article focuses on @ManagedBean annotation, implicit navigation, and resource handling. Vohra illustrates how the container-based model found in Java EE 7, which allows portable applications to target single machines as well as large clusters, is well suited to the cloud architecture. From the article-- “Cloud services might not have been a factor when JavaServer Faces 2.0 (JSF 2.0) was developed, but JSF 2.0 provides features ideally suited for the cloud, for example:•    The path-based resource handling in JSF 2.0 makes handling virtualized resources much easier and provides scalability with composite components.•    REST-style GET requests and bookmarkable URLs in JSF 2.0 support the cloud architecture. Representational State Transfer (REST) software architecture is based on transferring the representation of resources identified by URIs. A RESTful resource or service is made available as a URI path. Resources can be accessed in various formats, such as XML, HTML, plain text, PDF, JPEG, and JSON, among others. REST offers the advantages of being simple, lightweight, and fast.•    Ajax support in JSF 2.0 is integrable with Software as a Service (SaaS) by providing interactive browser-based Web applications.” In Part Two of the series, Vohra will examine features such as Ajax support, view parameters, preemptive navigation, event handling, and bookmarkable URLs.Have a look at the article here.

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  • Using Solaris pkg to list all setuid or setgid programs

    - by darrenm
    $ pkg contents -a mode=4??? -a mode=2??? -t file -o pkg.name,path,mode We can also add a package name on the end to restrict it to just that single package eg: $ pkg contents -a mode=4??? -a mode=2??? -t file -o pkg.name,path,mode core-os PKG.NAME PATH MODE system/core-os usr/bin/amd64/newtask 4555 system/core-os usr/bin/amd64/uptime 4555 system/core-os usr/bin/at 4755 system/core-os usr/bin/atq 4755 system/core-os usr/bin/atrm 4755 system/core-os usr/bin/crontab 4555 system/core-os usr/bin/mail 2511 system/core-os usr/bin/mailx 2511 system/core-os usr/bin/newgrp 4755 system/core-os usr/bin/pfedit 4755 system/core-os usr/bin/su 4555 system/core-os usr/bin/tip 4511 system/core-os usr/bin/write 2555 system/core-os usr/lib/utmp_update 4555 system/core-os usr/sbin/amd64/prtconf 2555 system/core-os usr/sbin/amd64/swap 2555 system/core-os usr/sbin/amd64/sysdef 2555 system/core-os usr/sbin/amd64/whodo 4555 system/core-os usr/sbin/prtdiag 2755 system/core-os usr/sbin/quota 4555 system/core-os usr/sbin/wall 2555

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  • Whether to use UNION or OR in SQL Server Queries

    - by Dinesh Asanka
    Recently I came across with an article on DB2 about using Union instead of OR. So I thought of carrying out a research on SQL Server on what scenarios UNION is optimal in and which scenarios OR would be best. I will analyze this with a few scenarios using samples taken  from the AdventureWorks database Sales.SalesOrderDetail table. Scenario 1: Selecting all columns So we are going to select all columns and you have a non-clustered index on the ProductID column. --Query 1 : OR SELECT * FROM Sales.SalesOrderDetail WHERE ProductID = 714 OR ProductID =709 OR ProductID =998 OR ProductID =875 OR ProductID =976 OR ProductID =874 --Query 2 : UNION SELECT * FROM Sales.SalesOrderDetail WHERE ProductID = 714 UNION SELECT * FROM Sales.SalesOrderDetail WHERE ProductID = 709 UNION SELECT * FROM Sales.SalesOrderDetail WHERE ProductID = 998 UNION SELECT * FROM Sales.SalesOrderDetail WHERE ProductID = 875 UNION SELECT * FROM Sales.SalesOrderDetail WHERE ProductID = 976 UNION SELECT * FROM Sales.SalesOrderDetail WHERE ProductID = 874 So query 1 is using OR and the later is using UNION. Let us analyze the execution plans for these queries. Query 1 Query 2 As expected Query 1 will use Clustered Index Scan but Query 2, uses all sorts of things. In this case, since it is using multiple CPUs you might have CX_PACKET waits as well. Let’s look at the profiler results for these two queries: CPU Reads Duration Row Counts OR 78 1252 389 3854 UNION 250 7495 660 3854 You can see from the above table the UNION query is not performing well as the  OR query though both are retuning same no of rows (3854).These results indicate that, for the above scenario UNION should be used. Scenario 2: Non-Clustered and Clustered Index Columns only --Query 1 : OR SELECT ProductID,SalesOrderID, SalesOrderDetailID FROM Sales.SalesOrderDetail WHERE ProductID = 714 OR ProductID =709 OR ProductID =998 OR ProductID =875 OR ProductID =976 OR ProductID =874 GO --Query 2 : UNION SELECT ProductID,SalesOrderID, SalesOrderDetailID FROM Sales.SalesOrderDetail WHERE ProductID = 714 UNION SELECT ProductID,SalesOrderID, SalesOrderDetailID FROM Sales.SalesOrderDetail WHERE ProductID = 709 UNION SELECT ProductID,SalesOrderID, SalesOrderDetailID FROM Sales.SalesOrderDetail WHERE ProductID = 998 UNION SELECT ProductID,SalesOrderID, SalesOrderDetailID FROM Sales.SalesOrderDetail WHERE ProductID = 875 UNION SELECT ProductID,SalesOrderID, SalesOrderDetailID FROM Sales.SalesOrderDetail WHERE ProductID = 976 UNION SELECT ProductID,SalesOrderID, SalesOrderDetailID FROM Sales.SalesOrderDetail WHERE ProductID = 874 GO So this time, we will be selecting only index columns, which means these queries will avoid a data page lookup. As in the previous case we will analyze the execution plans: Query 1 Query 2 Again, Query 2 is more complex than Query 1. Let us look at the profile analysis: CPU Reads Duration Row Counts OR 0 24 208 3854 UNION 0 38 193 3854 In this analyzis, there is only slight difference between OR and UNION. Scenario 3: Selecting all columns for different fields Up to now, we were using only one column (ProductID) in the where clause.  What if we have two columns for where clauses and let us assume both are covered by non-clustered indexes? --Query 1 : OR SELECT * FROM Sales.SalesOrderDetail WHERE ProductID = 714 OR CarrierTrackingNumber LIKE 'D0B8%' --Query 2 : UNION SELECT * FROM Sales.SalesOrderDetail WHERE ProductID = 714 UNION SELECT * FROM Sales.SalesOrderDetail WHERE CarrierTrackingNumber  LIKE 'D0B8%' Query 1 Query 2: As we can see, the query plan for the second query has improved. Let us see the profiler results. CPU Reads Duration Row Counts OR 47 1278 443 1228 UNION 31 1334 400 1228 So in this case too, there is little difference between OR and UNION. Scenario 4: Selecting Clustered index columns for different fields Now let us go only with clustered indexes: --Query 1 : OR SELECT * FROM Sales.SalesOrderDetail WHERE ProductID = 714 OR CarrierTrackingNumber LIKE 'D0B8%' --Query 2 : UNION SELECT * FROM Sales.SalesOrderDetail WHERE ProductID = 714 UNION SELECT * FROM Sales.SalesOrderDetail WHERE CarrierTrackingNumber  LIKE 'D0B8%' Query 1 Query 2 Now both execution plans are almost identical except is an additional Stream Aggregate is used in the first query. This means UNION has advantage over OR in this scenario. Let us see profiler results for these queries again. CPU Reads Duration Row Counts OR 0 319 366 1228 UNION 0 50 193 1228 Now see the differences, in this scenario UNION has somewhat of an advantage over OR. Conclusion Using UNION or OR depends on the scenario you are faced with. So you need to do your analyzing before selecting the appropriate method. Also, above the four scenarios are not all an exhaustive list of scenarios, I selected those for the broad description purposes only.

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  • Gilda Garretón, a Java Developer and Parallelism Computing Researcher

    - by Yolande
    In a new interview titled “Gilda Garretón, a Java Developer and Parallelism Computing Research,” Garretón shares her first-hand experience developing with Java and Java 7 for very large-scale integration (VLSI) of computer-aided design (CAD). Garretón gives an insightful overview of how Java is contributing to the parallelism development and to the Electric VLSI Design Systems, an open source VLSI CAD application used as a research platform for new CAD algorithms as well as the research flow for hardware test chips.  Garretón considers that parallelism programming is hard and complex, yet important developments are taking place.  "With the addition of the concurrent package in Java SE 6 and the Fork/Join feature in Java SE 7, developers have a chance to rely more on existing frameworks and dedicate more time to the essence of their parallel algorithms." Read the full article here  

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  • Future Tech Duke

    - by Tori Wieldt
    Do you like the new Duke? Have you gotten the new Duke screensaver yet? Follow @java or Like I <3 Java on Facebook and get the latest 3D, animated "Future Tech Duke" screensaver.   If you haven't already, register now to watch the global July 7 Java 7 community celebration and learn more about Java moving forward. We are looking for questions from the community to be asked during the panel Q & A. Enter your questions as a comment here, or tweet it with #java7. There's lots of great content being created for Java 7: technical articles, videos, updated web pages (can you say "layer cake?"), T-shirts, presentations, and there will be lots of Java 7 content in the new Java Magazine. See you at the Java 7 celebration event! Duke will be there!

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  • Troubleshooting Windows Blue Screen Errors

    The so-called ‘Blue Screen of Death’ has inspired fear in the hearts of mere mortals, but Systems Administrators are expected be capable of casually beating back this sinister beast. So imagine Ben Lye’s distress when he discovered that many aspiring SysAdmins had no structured approach to tackling the root of the problem. Setting out to remedy the situation, Ben lays out a simple 3-step plan, and dispenses some good advice.

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