Search Results

Search found 17194 results on 688 pages for 'john little'.

Page 6/688 | < Previous Page | 2 3 4 5 6 7 8 9 10 11 12 13  | Next Page >

  • John Hitchcock of Pace Describes the Oracle Agile PLM Customer Experience

    John Hitchcock, Senior Manager of Configuration Management at Pace (formerly 2Wire, Inc.), sat down for an interview during Oracle's Innovation Summit with Kerrie Foy, Manager of PLM Product Marketing at Oracle. Learn why his organization upgraded to the latest version of Agile and expanded the footprint to achieve impressive savings and productivity gains across the global, networked product value-chain.

    Read the article

  • John Hitchcock of Pace Describes the Oracle Agile PLM Customer Experience

    John Hitchcock, Senior Manager of Configuration Management at Pace (formerly 2Wire, Inc.), sat down for an interview during Oracle's Innovation Summit with Kerrie Foy, Manager of PLM Product Marketing at Oracle. Learn why his organization upgraded to the latest version of Agile and expanded the footprint to achieve impressive savings and productivity gains across the global, networked product value-chain.

    Read the article

  • John Hitchcock of Pace Describes the Oracle Agile PLM Customer Experience

    John Hitchcock, Senior Manager of Configuration Management at Pace (formerly 2Wire, Inc.), sat down for an interview during Oracle's Innovation Summit with Kerrie Foy, Manager of PLM Product Marketing at Oracle. Learn why his organization upgraded to the latest version of Agile and expanded the footprint to achieve impressive savings and productivity gains across the global, networked product value-chain.

    Read the article

  • John Hitchcock of Pace Describes the Oracle Agile PLM Customer Experience

    John Hitchcock, Senior Manager of Configuration Management at Pace (formerly 2Wire, Inc.), sat down for an interview during Oracle's Innovation Summit with Kerrie Foy, Manager of PLM Product Marketing at Oracle. Learn why his organization upgraded to the latest version of Agile and expanded the footprint to achieve impressive savings and productivity gains across the global, networked product value-chain.

    Read the article

  • John Hitchcock of Pace Describes the Oracle Agile PLM Customer Experience

    John Hitchcock, Senior Manager of Configuration Management at Pace (formerly 2Wire, Inc.), sat down for an interview during Oracle's Innovation Summit with Kerrie Foy, Manager of PLM Product Marketing at Oracle. Learn why his organization upgraded to the latest version of Agile and expanded the footprint to achieve impressive savings and productivity gains across the global, networked product value-chain.

    Read the article

  • John Hitchcock of Pace Describes the Oracle Agile PLM Customer Experience

    John Hitchcock, Senior Manager of Configuration Management at Pace (formerly 2Wire, Inc.), sat down for an interview during Oracle's Innovation Summit with Kerrie Foy, Manager of PLM Product Marketing at Oracle. Learn why his organization upgraded to the latest version of Agile and expanded the footprint to achieve impressive savings and productivity gains across the global, networked product value-chain.

    Read the article

  • John Hitchcock of Pace Describes the Oracle Agile PLM Customer Experience

    John Hitchcock, Senior Manager of Configuration Management at Pace (formerly 2Wire, Inc.), sat down for an interview during Oracle's Innovation Summit with Kerrie Foy, Manager of PLM Product Marketing at Oracle. Learn why his organization upgraded to the latest version of Agile and expanded the footprint to achieve impressive savings and productivity gains across the global, networked product value-chain.

    Read the article

  • John Hitchcock of Pace Describes the Oracle Agile PLM Customer Experience

    John Hitchcock, Senior Manager of Configuration Management at Pace (formerly 2Wire, Inc.), sat down for an interview during Oracle's Innovation Summit with Kerrie Foy, Manager of PLM Product Marketing at Oracle. Learn why his organization upgraded to the latest version of Agile and expanded the footprint to achieve impressive savings and productivity gains across the global, networked product value-chain.

    Read the article

  • John Hitchcock of Pace Describes the Oracle Agile PLM Customer Experience

    John Hitchcock, Senior Manager of Configuration Management at Pace (formerly 2Wire, Inc.), sat down for an interview during Oracle's Innovation Summit with Kerrie Foy, Manager of PLM Product Marketing at Oracle. Learn why his organization upgraded to the latest version of Agile and expanded the footprint to achieve impressive savings and productivity gains across the global, networked product value-chain.

    Read the article

  • Analyse statique de code, un article de John Carmack traduit par Arzar

    L'analyse statique de code permet d'améliorer la qualité d'un code et de minimiser les risques d'apparition d'erreurs. Dans cet article, John Carmack, le célèbre développeur de Doom et Quake, compare différents outils d'analyse statique de code et plus généralement ce qui fait la qualité du code. Analyse statique de code Quelle importance accordez-vous à l'analyse statique de code ? Quels autres outils, en particulier...

    Read the article

  • John Hitchcock of Pace Describes the Oracle Agile PLM Customer Experience

    John Hitchcock, Senior Manager of Configuration Management at Pace (formerly 2Wire, Inc.), sat down for an interview during Oracle's Innovation Summit with Kerrie Foy, Manager of PLM Product Marketing at Oracle. Learn why his organization upgraded to the latest version of Agile and expanded the footprint to achieve impressive savings and productivity gains across the global, networked product value-chain.

    Read the article

  • John Hitchcock of Pace Describes the Oracle Agile PLM Customer Experience

    John Hitchcock, Senior Manager of Configuration Management at Pace (formerly 2Wire, Inc.), sat down for an interview during Oracle's Innovation Summit with Kerrie Foy, Manager of PLM Product Marketing at Oracle. Learn why his organization upgraded to the latest version of Agile and expanded the footprint to achieve impressive savings and productivity gains across the global, networked product value-chain.

    Read the article

  • John Hitchcock of Pace Describes the Oracle Agile PLM Customer Experience

    John Hitchcock, Senior Manager of Configuration Management at Pace (formerly 2Wire, Inc.), sat down for an interview during Oracle's Innovation Summit with Kerrie Foy, Manager of PLM Product Marketing at Oracle. Learn why his organization upgraded to the latest version of Agile and expanded the footprint to achieve impressive savings and productivity gains across the global, networked product value-chain.

    Read the article

  • John Hitchcock of Pace Describes the Oracle Agile PLM Customer Experience

    John Hitchcock, Senior Manager of Configuration Management at Pace (formerly 2Wire, Inc.), sat down for an interview during Oracle's Innovation Summit with Kerrie Foy, Manager of PLM Product Marketing at Oracle. Learn why his organization upgraded to the latest version of Agile and expanded the footprint to achieve impressive savings and productivity gains across the global, networked product value-chain.

    Read the article

  • Programmation fonctionnelle en C++, un article de John Carmack traduit pas Arzar

    L'une des forces du langage C++ est d'être multi paradigme. Même si à la base, le C++ n'est pas un langage fonctionnel, il offre ne nombreuses fonctionnalités permettant d'implémenter certains concepts de la programmation fonctionnelles. Dans cet article, John Carmack analyse certains de ces concepts, leurs intérêts pratiques et comment les utiliser en C++. Programmation fonctionnelle en C++ Avez-vous déjà utilisé la programmation fonctionnelle en C++ ? Que pensez-vous des concepts de l...

    Read the article

  • Visual Studio Little Wonders: Quick Launch / Quick Access

    - by James Michael Hare
    Once again, in this series of posts I look at features of Visual Studio that may seem trivial, but can help improve your efficiency as a developer. The index of all my past little wonders posts can be found here. Well, my friends, this post will be a bit short because I’m in the middle of a bit of a move at the moment.  But, that said, I didn’t want to let the blog go completely silent this week, so I decided to add another Little Wonder to the list for the Visual Studio IDE. How often have you wanted to change an option or execute a command in Visual Studio, but can’t remember where the darn thing is in the menu, settings, etc.?  If so, Quick Launch in VS2012 (or Quick Access in VS2010 with the Productivity Power Tools extension) is just for you! Quick Launch / Quick Access – find a command or option quickly For those of you using Visual Studio 2012, Quick Launch is built right into the IDE at the top of the title bar, near the minimize, maximize, and close buttons: But do not despair if you are using Visual Studio 2010, you can get Quick Access from the Productivity Power Tools extension.  To do this, you can go to the extension manager: And then go to the gallery and search for Productivity Power Tools and install it.  If you don’t have VS2012 yet, then the Productivity Power Tools is the next best thing.  This extension updates VS2010 with features such as Quick Access, the Solution Navigator, searchable Add Reference Dialog, better tab wells, etc.  I highly recommend it! But back to the topic at hand!  In VS2012 Quick Launch is built into the IDE and can be accessed by clicking in the Quick Launch area of the title bar, or by pressing CTRL+Q.  If you have VS2010 with the PPT installed, though, it is called Quick Access and is accessible through View –> Quick Access: Regardless of which IDE you are using, the feature behaves mostly the same.  It allows you to search all of Visual Studio’s commands and options for a particular topic.  For example, let’s say you want to change from tabs to tabs expanded to spaces, but don’t remember where that option is buried.  You can bring up Quick Launch / Quick Access and type in “tabs”: And it brings up a list of all options on tabs, you can then choose the one appropriate to you and click on it and it will take you right there! A lot easier than diving through the options tree to find what you are looking for!  It also works on menu commands, for example if you can’t remember how to open the Output window: It shows you the menu items that will get you to the Output window, and (if applicable) the keyboard shortcuts.  Again, clicking on one of these will perform the action for you as well. There are also some tasks you can perform directly from Quick Launch / Quick Access.  For example, perhaps you are one of those people who like to have the line numbers in your editor (I do), so let’s bring up Quick Launch / Quick Access and type “line numbers”: And let’s select Turn Line Numbers On, and now our editor looks like: And Voila!  We have line numbers in VS2010.  You can do this in VS2012 too, but it takes you to the option settings instead of directly turning them off and on.  There are bound to be differences between the way the two editors organize settings and commands, but you get the point. So, as you can see, the Quick Launch / Quick Access feature in Visual Studio makes it easy to jump right to the options, commands, or tasks you are interested in without all the digging. Summary An IDE as powerful as Visual Studio has so many options and commands that it can be confusing to remember how to find and invoke them.  Quick Launch (Quick Access in VS2010 with Productivity Power Tools extension) is a quick and handy way to jump to any of these options, commands, or tasks quickly without having to remember in what menu or screen they are buried!  Technorati Tags: C#,CSharp,.NET,Little Wonders,Visual Studio,Quick Access,Quick Launch

    Read the article

  • How to access an encrypted INI file from C on an embedded system with little RAM

    - by Mawg
    I want to encrypt an INI file using a Delphi program on a Windows PC. Then I need to decrypt & access it in C on an embedded system with little RAM. I will do that once & fetch all info; I will not be consutinuously accessing the INI file whenever my program needs data from the file. Any advice as to which encryption to use? Nothing too heavyweight, just good enough for "Security through obscurity" and FOSS for both Delphi & C. And how can I decrypt, get all the info from the INI file - using as little RAM as possible, and then free any allocated RAM? I hope that someone can help. [Update] I am currently using an Atmel UC3, although I am not sure if that will be the final case. It has 512kB falsh & 128kB RAM. For an INI file, I am talking of max 8 sections, with a total of max 256 entries, each max 8 chars. I chose INI (but am not married to it), because i have had major problems in the past when the format of a data fiel changes, no matter whether binary, or text. For tex, I prefer the free format of INI (on PC), but suppose I could switch to line_1=data_1, line_2=data_2 and accept that if I add new fields in future software erleases they must come at the end, even if it is not pretty when read directly by humans. I suppose if I choose a fixed format text file then I never need get more than one line into RAM at a time ...

    Read the article

  • I am having trouble booting 12.04 keyboard and little man in circle appears and then nothing

    - by Rich J.
    I have a new system (ASUS 990FX mother board, 2 western dig drives, 32 gb memory, an ASUS nvidia video card (GeForce GTX560), and an ASUS DVD Burner (24B1ST)) I am struggling to get the 12.04 cd to work. I have been able to see the little man inside a circle and a graphic of a keyboard? with an == sign between them. Is this is a clue? What does it mean? After that the mauve screen with keyboard and little man in circle goes away. I get a dark background and underline cursor... even hear some work being done reading the rom.... but nothing appears on the screen. I haven't even got to the point where the graphic card is displaying improperly... it is just not displaying anything. If any kind soul has an idea about how to proceed, I am all ears. BTW, I have posted the issue to ASUS... waiting for reply.

    Read the article

  • The Evolution of Oracle Direct EMEA by John McGann

    - by user769227
    John is expanding his Dublin based team and is currently recruiting a Director with marketing and sales leadership experience: http://bit.ly/O8PyDF Should you wish to apply, please send your CV to [email protected] Hi, my name is John McGann and I am part of the Oracle Direct management team, based in Dublin.   Today I’m writing from the Oracle London City office, right in the heart of the financial district and up to very recently at the centre of a fantastic Olympic Games. The Olympics saw individuals and teams from across the globe competing to decide who is Citius, Altius, Fortius - “Faster, Higher, Stronger" There are lots of obvious parallels between the competitive world of the Olympics and the Business environments that many of us operate in, but there are also some interesting differences – especially in my area of responsibility within Oracle. We are of course constantly striving to be the best - the best solution on offer for our clients, bringing simplicity to their management, consumption and application of information technology, and the best provider when compared with our many niche competitors.   In Oracle and especially in Oracle Direct, a key aspect of how we achieve this is what sets us apart from the Olympians.  We have long ago eliminated geographic boundaries as a limitation to what we can achieve. We assemble the strongest individuals across multiple countries and bring them together in teams focussed on a single goal. One such team is the Oracle Direct Sales Programs team. In case you don’t know, Oracle Direct EMEA (Europe Middle East and Africa) is the inside sales division in Oracle and it is where I started my Oracle career.  I remember that my first role involved putting direct mail in envelopes.... things have moved on a bit since then – for me, for Oracle Direct and in how we interact with our customers. Today, the team of over 1000 people is located in the different Oracle Direct offices around Europe – the main ones are Malaga, Berlin, Prague and Dubai plus the headquarters in Dublin. We work in over 20 languages and are in constant contact with current and future Oracle customers, using the latest internet and telephone technologies to effectively communicate and collaborate with each other, our customers and prospects. One of my areas of responsibility within Oracle Direct is the Sales Programs team. This team of 25 people manages the planning and execution of demand generation, leading the process of finding new and incremental revenue within Oracle Direct. The Sales Programs Managers or ‘SPMs’ are embedded within each of the Oracle Direct sales teams, focussed on distinct geographies or product groups. The SPMs are virtual members of the regional sales management teams, and work closely with the sales and marketing teams to define and deliver demand generation activities. The customer contact elements of these activities are executed via the Oracle Direct Sales and Business Development/Lead Generation teams, to deliver the pipeline required to meet our revenue goals. Activities can range from pan-EMEA joint sales and marketing campaigns, to very localised niche campaigns. The campaigns might focus on particular segments of our existing customers, introducing elements of our evolving solution portfolio which customers may not be familiar with. The Sales Programs team also manages ‘Nurture’ activities to ensure that we develop potential business opportunities with contacts and organisations that do not have immediate requirements. Looking ahead, it is really important that we continue to evolve our ability to add value to our clients and reduce the physical limitations of our distance from them through the innovative application of technology. This enables us to enhance the customer buying experience and to enable the Inside Sales teams to manage ever more complex sales cycles from start to finish.  One of my expectations of my team is to actively drive innovation in how we leverage data to better understand our customers, and exploit emerging technologies to better communicate with them.   With the rate of innovation and acquisition within Oracle, we need to ensure that existing and potential customers are aware of all we have to offer that relates to their business goals.   We need to achieve this via a coherent communication and sales strategy to effectively target the right people using the most effective medium. This is another area where the Sales Programs team plays a key role.

    Read the article

  • C#/.NET Little Wonders: ConcurrentBag and BlockingCollection

    - by James Michael Hare
    In the first week of concurrent collections, began with a general introduction and discussed the ConcurrentStack<T> and ConcurrentQueue<T>.  The last post discussed the ConcurrentDictionary<T> .  Finally this week, we shall close with a discussion of the ConcurrentBag<T> and BlockingCollection<T>. For more of the "Little Wonders" posts, see C#/.NET Little Wonders: A Redux. Recap As you'll recall from the previous posts, the original collections were object-based containers that accomplished synchronization through a Synchronized member.  With the advent of .NET 2.0, the original collections were succeeded by the generic collections which are fully type-safe, but eschew automatic synchronization.  With .NET 4.0, a new breed of collections was born in the System.Collections.Concurrent namespace.  Of these, the final concurrent collection we will examine is the ConcurrentBag and a very useful wrapper class called the BlockingCollection. For some excellent information on the performance of the concurrent collections and how they perform compared to a traditional brute-force locking strategy, see this informative whitepaper by the Microsoft Parallel Computing Platform team here. ConcurrentBag<T> – Thread-safe unordered collection. Unlike the other concurrent collections, the ConcurrentBag<T> has no non-concurrent counterpart in the .NET collections libraries.  Items can be added and removed from a bag just like any other collection, but unlike the other collections, the items are not maintained in any order.  This makes the bag handy for those cases when all you care about is that the data be consumed eventually, without regard for order of consumption or even fairness – that is, it’s possible new items could be consumed before older items given the right circumstances for a period of time. So why would you ever want a container that can be unfair?  Well, to look at it another way, you can use a ConcurrentQueue and get the fairness, but it comes at a cost in that the ordering rules and synchronization required to maintain that ordering can affect scalability a bit.  Thus sometimes the bag is great when you want the fastest way to get the next item to process, and don’t care what item it is or how long its been waiting. The way that the ConcurrentBag works is to take advantage of the new ThreadLocal<T> type (new in System.Threading for .NET 4.0) so that each thread using the bag has a list local to just that thread.  This means that adding or removing to a thread-local list requires very low synchronization.  The problem comes in where a thread goes to consume an item but it’s local list is empty.  In this case the bag performs “work-stealing” where it will rob an item from another thread that has items in its list.  This requires a higher level of synchronization which adds a bit of overhead to the take operation. So, as you can imagine, this makes the ConcurrentBag good for situations where each thread both produces and consumes items from the bag, but it would be less-than-idea in situations where some threads are dedicated producers and the other threads are dedicated consumers because the work-stealing synchronization would outweigh the thread-local optimization for a thread taking its own items. Like the other concurrent collections, there are some curiosities to keep in mind: IsEmpty(), Count, ToArray(), and GetEnumerator() lock collection Each of these needs to take a snapshot of whole bag to determine if empty, thus they tend to be more expensive and cause Add() and Take() operations to block. ToArray() and GetEnumerator() are static snapshots Because it is based on a snapshot, will not show subsequent updates after snapshot. Add() is lightweight Since adding to the thread-local list, there is very little overhead on Add. TryTake() is lightweight if items in thread-local list As long as items are in the thread-local list, TryTake() is very lightweight, much more so than ConcurrentStack() and ConcurrentQueue(), however if the local thread list is empty, it must steal work from another thread, which is more expensive. Remember, a bag is not ideal for all situations, it is mainly ideal for situations where a process consumes an item and either decomposes it into more items to be processed, or handles the item partially and places it back to be processed again until some point when it will complete.  The main point is that the bag works best when each thread both takes and adds items. For example, we could create a totally contrived example where perhaps we want to see the largest power of a number before it crosses a certain threshold.  Yes, obviously we could easily do this with a log function, but bare with me while I use this contrived example for simplicity. So let’s say we have a work function that will take a Tuple out of a bag, this Tuple will contain two ints.  The first int is the original number, and the second int is the last multiple of that number.  So we could load our bag with the initial values (let’s say we want to know the last multiple of each of 2, 3, 5, and 7 under 100. 1: var bag = new ConcurrentBag<Tuple<int, int>> 2: { 3: Tuple.Create(2, 1), 4: Tuple.Create(3, 1), 5: Tuple.Create(5, 1), 6: Tuple.Create(7, 1) 7: }; Then we can create a method that given the bag, will take out an item, apply the multiplier again, 1: public static void FindHighestPowerUnder(ConcurrentBag<Tuple<int,int>> bag, int threshold) 2: { 3: Tuple<int,int> pair; 4:  5: // while there are items to take, this will prefer local first, then steal if no local 6: while (bag.TryTake(out pair)) 7: { 8: // look at next power 9: var result = Math.Pow(pair.Item1, pair.Item2 + 1); 10:  11: if (result < threshold) 12: { 13: // if smaller than threshold bump power by 1 14: bag.Add(Tuple.Create(pair.Item1, pair.Item2 + 1)); 15: } 16: else 17: { 18: // otherwise, we're done 19: Console.WriteLine("Highest power of {0} under {3} is {0}^{1} = {2}.", 20: pair.Item1, pair.Item2, Math.Pow(pair.Item1, pair.Item2), threshold); 21: } 22: } 23: } Now that we have this, we can load up this method as an Action into our Tasks and run it: 1: // create array of tasks, start all, wait for all 2: var tasks = new[] 3: { 4: new Task(() => FindHighestPowerUnder(bag, 100)), 5: new Task(() => FindHighestPowerUnder(bag, 100)), 6: }; 7:  8: Array.ForEach(tasks, t => t.Start()); 9:  10: Task.WaitAll(tasks); Totally contrived, I know, but keep in mind the main point!  When you have a thread or task that operates on an item, and then puts it back for further consumption – or decomposes an item into further sub-items to be processed – you should consider a ConcurrentBag as the thread-local lists will allow for quick processing.  However, if you need ordering or if your processes are dedicated producers or consumers, this collection is not ideal.  As with anything, you should performance test as your mileage will vary depending on your situation! BlockingCollection<T> – A producers & consumers pattern collection The BlockingCollection<T> can be treated like a collection in its own right, but in reality it adds a producers and consumers paradigm to any collection that implements the interface IProducerConsumerCollection<T>.  If you don’t specify one at the time of construction, it will use a ConcurrentQueue<T> as its underlying store. If you don’t want to use the ConcurrentQueue, the ConcurrentStack and ConcurrentBag also implement the interface (though ConcurrentDictionary does not).  In addition, you are of course free to create your own implementation of the interface. So, for those who don’t remember the producers and consumers classical computer-science problem, the gist of it is that you have one (or more) processes that are creating items (producers) and one (or more) processes that are consuming these items (consumers).  Now, the crux of the problem is that there is a bin (queue) where the produced items are placed, and typically that bin has a limited size.  Thus if a producer creates an item, but there is no space to store it, it must wait until an item is consumed.  Also if a consumer goes to consume an item and none exists, it must wait until an item is produced. The BlockingCollection makes it trivial to implement any standard producers/consumers process set by providing that “bin” where the items can be produced into and consumed from with the appropriate blocking operations.  In addition, you can specify whether the bin should have a limited size or can be (theoretically) unbounded, and you can specify timeouts on the blocking operations. As far as your choice of “bin”, for the most part the ConcurrentQueue is the right choice because it is fairly light and maximizes fairness by ordering items so that they are consumed in the same order they are produced.  You can use the concurrent bag or stack, of course, but your ordering would be random-ish in the case of the former and LIFO in the case of the latter. So let’s look at some of the methods of note in BlockingCollection: BoundedCapacity returns capacity of the “bin” If the bin is unbounded, the capacity is int.MaxValue. Count returns an internally-kept count of items This makes it O(1), but if you modify underlying collection directly (not recommended) it is unreliable. CompleteAdding() is used to cut off further adds. This sets IsAddingCompleted and begins to wind down consumers once empty. IsAddingCompleted is true when producers are “done”. Once you are done producing, should complete the add process to alert consumers. IsCompleted is true when producers are “done” and “bin” is empty. Once you mark the producers done, and all items removed, this will be true. Add() is a blocking add to collection. If bin is full, will wait till space frees up Take() is a blocking remove from collection. If bin is empty, will wait until item is produced or adding is completed. GetConsumingEnumerable() is used to iterate and consume items. Unlike the standard enumerator, this one consumes the items instead of iteration. TryAdd() attempts add but does not block completely If adding would block, returns false instead, can specify TimeSpan to wait before stopping. TryTake() attempts to take but does not block completely Like TryAdd(), if taking would block, returns false instead, can specify TimeSpan to wait. Note the use of CompleteAdding() to signal the BlockingCollection that nothing else should be added.  This means that any attempts to TryAdd() or Add() after marked completed will throw an InvalidOperationException.  In addition, once adding is complete you can still continue to TryTake() and Take() until the bin is empty, and then Take() will throw the InvalidOperationException and TryTake() will return false. So let’s create a simple program to try this out.  Let’s say that you have one process that will be producing items, but a slower consumer process that handles them.  This gives us a chance to peek inside what happens when the bin is bounded (by default, the bin is NOT bounded). 1: var bin = new BlockingCollection<int>(5); Now, we create a method to produce items: 1: public static void ProduceItems(BlockingCollection<int> bin, int numToProduce) 2: { 3: for (int i = 0; i < numToProduce; i++) 4: { 5: // try for 10 ms to add an item 6: while (!bin.TryAdd(i, TimeSpan.FromMilliseconds(10))) 7: { 8: Console.WriteLine("Bin is full, retrying..."); 9: } 10: } 11:  12: // once done producing, call CompleteAdding() 13: Console.WriteLine("Adding is completed."); 14: bin.CompleteAdding(); 15: } And one to consume them: 1: public static void ConsumeItems(BlockingCollection<int> bin) 2: { 3: // This will only be true if CompleteAdding() was called AND the bin is empty. 4: while (!bin.IsCompleted) 5: { 6: int item; 7:  8: if (!bin.TryTake(out item, TimeSpan.FromMilliseconds(10))) 9: { 10: Console.WriteLine("Bin is empty, retrying..."); 11: } 12: else 13: { 14: Console.WriteLine("Consuming item {0}.", item); 15: Thread.Sleep(TimeSpan.FromMilliseconds(20)); 16: } 17: } 18: } Then we can fire them off: 1: // create one producer and two consumers 2: var tasks = new[] 3: { 4: new Task(() => ProduceItems(bin, 20)), 5: new Task(() => ConsumeItems(bin)), 6: new Task(() => ConsumeItems(bin)), 7: }; 8:  9: Array.ForEach(tasks, t => t.Start()); 10:  11: Task.WaitAll(tasks); Notice that the producer is faster than the consumer, thus it should be hitting a full bin often and displaying the message after it times out on TryAdd(). 1: Consuming item 0. 2: Consuming item 1. 3: Bin is full, retrying... 4: Bin is full, retrying... 5: Consuming item 3. 6: Consuming item 2. 7: Bin is full, retrying... 8: Consuming item 4. 9: Consuming item 5. 10: Bin is full, retrying... 11: Consuming item 6. 12: Consuming item 7. 13: Bin is full, retrying... 14: Consuming item 8. 15: Consuming item 9. 16: Bin is full, retrying... 17: Consuming item 10. 18: Consuming item 11. 19: Bin is full, retrying... 20: Consuming item 12. 21: Consuming item 13. 22: Bin is full, retrying... 23: Bin is full, retrying... 24: Consuming item 14. 25: Adding is completed. 26: Consuming item 15. 27: Consuming item 16. 28: Consuming item 17. 29: Consuming item 19. 30: Consuming item 18. Also notice that once CompleteAdding() is called and the bin is empty, the IsCompleted property returns true, and the consumers will exit. Summary The ConcurrentBag is an interesting collection that can be used to optimize concurrency scenarios where tasks or threads both produce and consume items.  In this way, it will choose to consume its own work if available, and then steal if not.  However, in situations where you want fair consumption or ordering, or in situations where the producers and consumers are distinct processes, the bag is not optimal. The BlockingCollection is a great wrapper around all of the concurrent queue, stack, and bag that allows you to add producer and consumer semantics easily including waiting when the bin is full or empty. That’s the end of my dive into the concurrent collections.  I’d also strongly recommend, once again, you read this excellent Microsoft white paper that goes into much greater detail on the efficiencies you can gain using these collections judiciously (here). Tweet Technorati Tags: C#,.NET,Concurrent Collections,Little Wonders

    Read the article

  • John Burke's Weclome to the Applications Strategy Blog

    - by Tony Ouk
    Hi I'm John Burke and I'm the group Vice President of Oracle's Applications Business Unit.  Thanks for stopping by our Applications blog today.  The purpose of this site is to provide you, our customers, with timely, relevant, and balanced information about the state of the applications business, both here at Oracle and industry-wide. So on this site, you'll find information about Oracle's application products, how our customers have used those products to transform their businesses, and general industry trends which might help you craft YOUR applications roadmap.  So right now I'm walking to meet with one of Oracle's development executives.  I also plan to talk to Oracle customers and leading industry analysts.  I plan to provide a complete and balanced view of the total applications landscape.  I hope you check back often and view our updates.

    Read the article

  • Employee Engagement Q&A with John Brunswick

    - by Kellsey Ruppel
    As we are focusing this week on Employee Engagement, I recently sat down with industry expert and thought leader John Brunswick on the topic. Here is the Q&A dialogue we shared.  Q: How do you effectively engage employees to drive business value?A: Motivation, both extrinsic and intrinsic, combined with the relevancy of various channels to support it.  Beyond chaining business strategies like compensation models within an organization, engagement ultimately is most successful when driven by employee's motivations.  Business value derived from engagement through technical capabilities can be objectively measured through metrics like the rate and accuracy of problem solving for a given business function or frequency of innovation created.  Providing employees performing "knowledge work" with capabilities that allow them to perform work with a higher degree of accuracy in the same or ideally less time, adds value for that individual and in turn, drives their level of engagement to drive business value. Q: Organizations with high levels of employee engagement outperform the total stock market index by 22%. Can you comment on why you think this might be? A: Alignment through shared purpose.  Zappos is an excellent example of a culture that arguably has higher than average levels of employee engagement and it permeates every aspect of their organization – embodied externally through their customer experience.  I recently made my first purchase with them and it was obvious through their web experience, visual design, communication style, customer service and attention to detail down to green packaging, that they have an amazingly strong shared purpose.  The Zappos.com ‘About page’ outlines their "Family Core Values", the first three being "Deliver WOW Through Service, Embrace and Drive Change & Create Fun and A Little Weirdness" – all reflected externally in my interaction with them.  Strong shared purpose enables higher product and service experience, equating to a dedicated customer base, repeat purchases and expanded marketshare. Q: Have you seen any trends in the market regarding employee engagement? A: Some companies now see offering a form of social engagement similar to Facebook and LinkedIn as standard communication infrastructure like email or instant messaging.  Originally offered as standalone tools, the value is now seen when these capabilities are offered in an integrated fashion in the context of business entities.  An emerging area of focus is around employee activities related to their organization on external social platforms, implicitly creating external communities with employees acting on behalf of the brand and interacting with each other (e.g. Twitter).  Companies have reached a formal understand that this now established communication medium requires strategies allowing employees to engage.  I have personally met colleagues from Oracle, like Oracle User Experience Director Ultan O'Broin (@ultan), via Twitter before meeting first through internal channels. Q: Employee engagement is important, but what about engaging customers and partners? A: The last few years we have witnessed an interesting evolution from the novelty of self-service to expectations of "intelligent" self-service.  From a consumer standpoint, engagement can end up being a key differentiator, especially in mature markets.  Customers that perform some level of interaction with a brand develop greater affinity for the brand and have a greater probability of acting as an advocate.  As organizations move toward a model of deeper engagement, they must ensure that their business is positioned to support deeper relationships, offering potentially greater transparency. From a partner standpoint greater engagement can lead to new types of business opportunities, much in the way that Amazon.com offers a unified shopping experience that can potentially span various vendors.  This same model can be extended to blending services and product delivery models, based on a closeness not easily possible before increased capability of engagement mechanisms. Q: What types of solutions are available to successfully deliver employee engagement? A: Solutions enabling higher levels of engagement do so on the basis of relevancy.  This relevancy is generally supported by aspects of content management, social collaboration, business intelligence, portal and process management technologies.  These technologies can help deliver an experience tailored to a given role or process within an organization that applies equally to work that is structured or unstructured, appearing in the form of functionality as simple as an online employee directory search, knowledge communities supported by social collaboration, as well as more feature rich business intelligence dashboards and portals. Looking to learn more about how to effectively engage your employees? Check out this webcast, or read more from John Brunswick. 

    Read the article

  • C#/.NET Little Wonders: The Generic Func Delegates

    - by James Michael Hare
    Once again, in this series of posts I look at the parts of the .NET Framework that may seem trivial, but can help improve your code by making it easier to write and maintain. The index of all my past little wonders posts can be found here. Back in one of my three original “Little Wonders” Trilogy of posts, I had listed generic delegates as one of the Little Wonders of .NET.  Later, someone posted a comment saying said that they would love more detail on the generic delegates and their uses, since my original entry just scratched the surface of them. Last week, I began our look at some of the handy generic delegates built into .NET with a description of delegates in general, and the Action family of delegates.  For this week, I’ll launch into a look at the Func family of generic delegates and how they can be used to support generic, reusable algorithms and classes. Quick Delegate Recap Delegates are similar to function pointers in C++ in that they allow you to store a reference to a method.  They can store references to either static or instance methods, and can actually be used to chain several methods together in one delegate. Delegates are very type-safe and can be satisfied with any standard method, anonymous method, or a lambda expression.  They can also be null as well (refers to no method), so care should be taken to make sure that the delegate is not null before you invoke it. Delegates are defined using the keyword delegate, where the delegate’s type name is placed where you would typically place the method name: 1: // This delegate matches any method that takes string, returns nothing 2: public delegate void Log(string message); This delegate defines a delegate type named Log that can be used to store references to any method(s) that satisfies its signature (whether instance, static, lambda expression, etc.). Delegate instances then can be assigned zero (null) or more methods using the operator = which replaces the existing delegate chain, or by using the operator += which adds a method to the end of a delegate chain: 1: // creates a delegate instance named currentLogger defaulted to Console.WriteLine (static method) 2: Log currentLogger = Console.Out.WriteLine; 3:  4: // invokes the delegate, which writes to the console out 5: currentLogger("Hi Standard Out!"); 6:  7: // append a delegate to Console.Error.WriteLine to go to std error 8: currentLogger += Console.Error.WriteLine; 9:  10: // invokes the delegate chain and writes message to std out and std err 11: currentLogger("Hi Standard Out and Error!"); While delegates give us a lot of power, it can be cumbersome to re-create fairly standard delegate definitions repeatedly, for this purpose the generic delegates were introduced in various stages in .NET.  These support various method types with particular signatures. Note: a caveat with generic delegates is that while they can support multiple parameters, they do not match methods that contains ref or out parameters. If you want to a delegate to represent methods that takes ref or out parameters, you will need to create a custom delegate. We’ve got the Func… delegates Just like it’s cousin, the Action delegate family, the Func delegate family gives us a lot of power to use generic delegates to make classes and algorithms more generic.  Using them keeps us from having to define a new delegate type when need to make a class or algorithm generic. Remember that the point of the Action delegate family was to be able to perform an “action” on an item, with no return results.  Thus Action delegates can be used to represent most methods that take 0 to 16 arguments but return void.  You can assign a method The Func delegate family was introduced in .NET 3.5 with the advent of LINQ, and gives us the power to define a function that can be called on 0 to 16 arguments and returns a result.  Thus, the main difference between Action and Func, from a delegate perspective, is that Actions return nothing, but Funcs return a result. The Func family of delegates have signatures as follows: Func<TResult> – matches a method that takes no arguments, and returns value of type TResult. Func<T, TResult> – matches a method that takes an argument of type T, and returns value of type TResult. Func<T1, T2, TResult> – matches a method that takes arguments of type T1 and T2, and returns value of type TResult. Func<T1, T2, …, TResult> – and so on up to 16 arguments, and returns value of type TResult. These are handy because they quickly allow you to be able to specify that a method or class you design will perform a function to produce a result as long as the method you specify meets the signature. For example, let’s say you were designing a generic aggregator, and you wanted to allow the user to define how the values will be aggregated into the result (i.e. Sum, Min, Max, etc…).  To do this, we would ask the user of our class to pass in a method that would take the current total, the next value, and produce a new total.  A class like this could look like: 1: public sealed class Aggregator<TValue, TResult> 2: { 3: // holds method that takes previous result, combines with next value, creates new result 4: private Func<TResult, TValue, TResult> _aggregationMethod; 5:  6: // gets or sets the current result of aggregation 7: public TResult Result { get; private set; } 8:  9: // construct the aggregator given the method to use to aggregate values 10: public Aggregator(Func<TResult, TValue, TResult> aggregationMethod = null) 11: { 12: if (aggregationMethod == null) throw new ArgumentNullException("aggregationMethod"); 13:  14: _aggregationMethod = aggregationMethod; 15: } 16:  17: // method to add next value 18: public void Aggregate(TValue nextValue) 19: { 20: // performs the aggregation method function on the current result and next and sets to current result 21: Result = _aggregationMethod(Result, nextValue); 22: } 23: } Of course, LINQ already has an Aggregate extension method, but that works on a sequence of IEnumerable<T>, whereas this is designed to work more with aggregating single results over time (such as keeping track of a max response time for a service). We could then use this generic aggregator to find the sum of a series of values over time, or the max of a series of values over time (among other things): 1: // creates an aggregator that adds the next to the total to sum the values 2: var sumAggregator = new Aggregator<int, int>((total, next) => total + next); 3:  4: // creates an aggregator (using static method) that returns the max of previous result and next 5: var maxAggregator = new Aggregator<int, int>(Math.Max); So, if we were timing the response time of a web method every time it was called, we could pass that response time to both of these aggregators to get an idea of the total time spent in that web method, and the max time spent in any one call to the web method: 1: // total will be 13 and max 13 2: int responseTime = 13; 3: sumAggregator.Aggregate(responseTime); 4: maxAggregator.Aggregate(responseTime); 5:  6: // total will be 20 and max still 13 7: responseTime = 7; 8: sumAggregator.Aggregate(responseTime); 9: maxAggregator.Aggregate(responseTime); 10:  11: // total will be 40 and max now 20 12: responseTime = 20; 13: sumAggregator.Aggregate(responseTime); 14: maxAggregator.Aggregate(responseTime); The Func delegate family is useful for making generic algorithms and classes, and in particular allows the caller of the method or user of the class to specify a function to be performed in order to generate a result. What is the result of a Func delegate chain? If you remember, we said earlier that you can assign multiple methods to a delegate by using the += operator to chain them.  So how does this affect delegates such as Func that return a value, when applied to something like the code below? 1: Func<int, int, int> combo = null; 2:  3: // What if we wanted to aggregate the sum and max together? 4: combo += (total, next) => total + next; 5: combo += Math.Max; 6:  7: // what is the result? 8: var comboAggregator = new Aggregator<int, int>(combo); Well, in .NET if you chain multiple methods in a delegate, they will all get invoked, but the result of the delegate is the result of the last method invoked in the chain.  Thus, this aggregator would always result in the Math.Max() result.  The other chained method (the sum) gets executed first, but it’s result is thrown away: 1: // result is 13 2: int responseTime = 13; 3: comboAggregator.Aggregate(responseTime); 4:  5: // result is still 13 6: responseTime = 7; 7: comboAggregator.Aggregate(responseTime); 8:  9: // result is now 20 10: responseTime = 20; 11: comboAggregator.Aggregate(responseTime); So remember, you can chain multiple Func (or other delegates that return values) together, but if you do so you will only get the last executed result. Func delegates and co-variance/contra-variance in .NET 4.0 Just like the Action delegate, as of .NET 4.0, the Func delegate family is contra-variant on its arguments.  In addition, it is co-variant on its return type.  To support this, in .NET 4.0 the signatures of the Func delegates changed to: Func<out TResult> – matches a method that takes no arguments, and returns value of type TResult (or a more derived type). Func<in T, out TResult> – matches a method that takes an argument of type T (or a less derived type), and returns value of type TResult(or a more derived type). Func<in T1, in T2, out TResult> – matches a method that takes arguments of type T1 and T2 (or less derived types), and returns value of type TResult (or a more derived type). Func<in T1, in T2, …, out TResult> – and so on up to 16 arguments, and returns value of type TResult (or a more derived type). Notice the addition of the in and out keywords before each of the generic type placeholders.  As we saw last week, the in keyword is used to specify that a generic type can be contra-variant -- it can match the given type or a type that is less derived.  However, the out keyword, is used to specify that a generic type can be co-variant -- it can match the given type or a type that is more derived. On contra-variance, if you are saying you need an function that will accept a string, you can just as easily give it an function that accepts an object.  In other words, if you say “give me an function that will process dogs”, I could pass you a method that will process any animal, because all dogs are animals.  On the co-variance side, if you are saying you need a function that returns an object, you can just as easily pass it a function that returns a string because any string returned from the given method can be accepted by a delegate expecting an object result, since string is more derived.  Once again, in other words, if you say “give me a method that creates an animal”, I can pass you a method that will create a dog, because all dogs are animals. It really all makes sense, you can pass a more specific thing to a less specific parameter, and you can return a more specific thing as a less specific result.  In other words, pay attention to the direction the item travels (parameters go in, results come out).  Keeping that in mind, you can always pass more specific things in and return more specific things out. For example, in the code below, we have a method that takes a Func<object> to generate an object, but we can pass it a Func<string> because the return type of object can obviously accept a return value of string as well: 1: // since Func<object> is co-variant, this will access Func<string>, etc... 2: public static string Sequence(int count, Func<object> generator) 3: { 4: var builder = new StringBuilder(); 5:  6: for (int i=0; i<count; i++) 7: { 8: object value = generator(); 9: builder.Append(value); 10: } 11:  12: return builder.ToString(); 13: } Even though the method above takes a Func<object>, we can pass a Func<string> because the TResult type placeholder is co-variant and accepts types that are more derived as well: 1: // delegate that's typed to return string. 2: Func<string> stringGenerator = () => DateTime.Now.ToString(); 3:  4: // This will work in .NET 4.0, but not in previous versions 5: Sequence(100, stringGenerator); Previous versions of .NET implemented some forms of co-variance and contra-variance before, but .NET 4.0 goes one step further and allows you to pass or assign an Func<A, BResult> to a Func<Y, ZResult> as long as A is less derived (or same) as Y, and BResult is more derived (or same) as ZResult. Sidebar: The Func and the Predicate A method that takes one argument and returns a bool is generally thought of as a predicate.  Predicates are used to examine an item and determine whether that item satisfies a particular condition.  Predicates are typically unary, but you may also have binary and other predicates as well. Predicates are often used to filter results, such as in the LINQ Where() extension method: 1: var numbers = new[] { 1, 2, 4, 13, 8, 10, 27 }; 2:  3: // call Where() using a predicate which determines if the number is even 4: var evens = numbers.Where(num => num % 2 == 0); As of .NET 3.5, predicates are typically represented as Func<T, bool> where T is the type of the item to examine.  Previous to .NET 3.5, there was a Predicate<T> type that tended to be used (which we’ll discuss next week) and is still supported, but most developers recommend using Func<T, bool> now, as it prevents confusion with overloads that accept unary predicates and binary predicates, etc.: 1: // this seems more confusing as an overload set, because of Predicate vs Func 2: public static SomeMethod(Predicate<int> unaryPredicate) { } 3: public static SomeMethod(Func<int, int, bool> binaryPredicate) { } 4:  5: // this seems more consistent as an overload set, since just uses Func 6: public static SomeMethod(Func<int, bool> unaryPredicate) { } 7: public static SomeMethod(Func<int, int, bool> binaryPredicate) { } Also, even though Predicate<T> and Func<T, bool> match the same signatures, they are separate types!  Thus you cannot assign a Predicate<T> instance to a Func<T, bool> instance and vice versa: 1: // the same method, lambda expression, etc can be assigned to both 2: Predicate<int> isEven = i => (i % 2) == 0; 3: Func<int, bool> alsoIsEven = i => (i % 2) == 0; 4:  5: // but the delegate instances cannot be directly assigned, strongly typed! 6: // ERROR: cannot convert type... 7: isEven = alsoIsEven; 8:  9: // however, you can assign by wrapping in a new instance: 10: isEven = new Predicate<int>(alsoIsEven); 11: alsoIsEven = new Func<int, bool>(isEven); So, the general advice that seems to come from most developers is that Predicate<T> is still supported, but we should use Func<T, bool> for consistency in .NET 3.5 and above. Sidebar: Func as a Generator for Unit Testing One area of difficulty in unit testing can be unit testing code that is based on time of day.  We’d still want to unit test our code to make sure the logic is accurate, but we don’t want the results of our unit tests to be dependent on the time they are run. One way (of many) around this is to create an internal generator that will produce the “current” time of day.  This would default to returning result from DateTime.Now (or some other method), but we could inject specific times for our unit testing.  Generators are typically methods that return (generate) a value for use in a class/method. For example, say we are creating a CacheItem<T> class that represents an item in the cache, and we want to make sure the item shows as expired if the age is more than 30 seconds.  Such a class could look like: 1: // responsible for maintaining an item of type T in the cache 2: public sealed class CacheItem<T> 3: { 4: // helper method that returns the current time 5: private static Func<DateTime> _timeGenerator = () => DateTime.Now; 6:  7: // allows internal access to the time generator 8: internal static Func<DateTime> TimeGenerator 9: { 10: get { return _timeGenerator; } 11: set { _timeGenerator = value; } 12: } 13:  14: // time the item was cached 15: public DateTime CachedTime { get; private set; } 16:  17: // the item cached 18: public T Value { get; private set; } 19:  20: // item is expired if older than 30 seconds 21: public bool IsExpired 22: { 23: get { return _timeGenerator() - CachedTime > TimeSpan.FromSeconds(30.0); } 24: } 25:  26: // creates the new cached item, setting cached time to "current" time 27: public CacheItem(T value) 28: { 29: Value = value; 30: CachedTime = _timeGenerator(); 31: } 32: } Then, we can use this construct to unit test our CacheItem<T> without any time dependencies: 1: var baseTime = DateTime.Now; 2:  3: // start with current time stored above (so doesn't drift) 4: CacheItem<int>.TimeGenerator = () => baseTime; 5:  6: var target = new CacheItem<int>(13); 7:  8: // now add 15 seconds, should still be non-expired 9: CacheItem<int>.TimeGenerator = () => baseTime.AddSeconds(15); 10:  11: Assert.IsFalse(target.IsExpired); 12:  13: // now add 31 seconds, should now be expired 14: CacheItem<int>.TimeGenerator = () => baseTime.AddSeconds(31); 15:  16: Assert.IsTrue(target.IsExpired); Now we can unit test for 1 second before, 1 second after, 1 millisecond before, 1 day after, etc.  Func delegates can be a handy tool for this type of value generation to support more testable code.  Summary Generic delegates give us a lot of power to make truly generic algorithms and classes.  The Func family of delegates is a great way to be able to specify functions to calculate a result based on 0-16 arguments.  Stay tuned in the weeks that follow for other generic delegates in the .NET Framework!   Tweet Technorati Tags: .NET, C#, CSharp, Little Wonders, Generics, Func, Delegates

    Read the article

  • I need a little help with .htaccess rewrite

    - by Pinokyo
    I need a little help with .htaccess file I have songs, singers and albums links I want to rewrite. I all ready rewrote the links and they are like this: the links for the songs is like this: /song/song_name for singers: /singer_name for albums: /album_name From my .htaccess file: RewriteEngine on RewriteRule ^singer/([^/\.]+)/?$ /core/controller.php?singer=$1 [L] RewriteRule ^song/([^/\.]+)/?$ /core/controller.php?song=$1 [L] RewriteRule ^album/([^/\.]+)/?$ /core/controller.php?album=$1 [L] I need the links for the songs, singers and albums to be like this: for songs /singer_name/song_name for singers /singer_name for albums /singer_name/album_name can anyone help me with this please.

    Read the article

  • GWB -- Little More Interesting Info

    - by lavanyadeepak
    GWB -- Little More Interesting Info Whilst writing the post on 'Warming with GWB', I just recalled another historic entity often shortly known as GWB. It is in fact 'GWBasic' which we I started programming about fifteen years back way back in 1994 to 1995.   GWBASIC was actually a version of BASIC in the lines of BASICA from Compaq. Eventually it was absorbed into QBasic and QuickBasic suite of products. Just thought I would share this recollection too in this context.

    Read the article

< Previous Page | 2 3 4 5 6 7 8 9 10 11 12 13  | Next Page >