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  • Is there a way to track data structure dependencies from the database, through the tiers, all the way out to a web page?

    - by Sean Mickey
    When we design applications, we generally end up with the same tiered sets of data structures: A persistent data structure that is described using DDL and implemented as RDBMS tables and columns. A set of domain objects that consist primarily of data structures, usually combined with business-rule level logic, that are implemented in a programming language such as Java. A set of service layer interfaces that directly support use case implementations (which use the domain data structures as parameters), implemented as EJBs or something equivalent in another programming language. UI screens that allow users to C reate, R etrieve, U pdate, and (maybe) D elete all manner of data structures and graphs of data structures, with numerous screens and with multiple UI widgets, all structured to support the same data structures. But if you want to change the data structures in any of these tiers, it always seems extremely difficult to assess the impact(s) the change will have across the application. UML can help, but tracing through diagram after diagram is not a real solution to this problem. The best I have ever seen was a homespun data tracking spreadsheet document that listed all of the data structures and walked the relationships from tier-to-tier. Is there a tool or accepted approach that makes it easy to identify a data structure in any tier and easily obtain a list of all dependent: database table and column data structures domain object data structures service layer interface methods and parameter data structures screen & UI component data structures

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  • ASP.NET MVC Framework

    - by Aamir Hasan
     MVC is a design pattern. A reusable "recipe" for constructing your application. Generally, you don't want your user interface code and data access code to be mixed together, it makes changing either one more difficult. By placing data access code into a "Model" object and user interface code into a "View" object, you can use a "Controller" object to act as a go-between, sending messages/calling methods on the view object when the data changes and vice versa. Model-view-controller (MVC) is an architectural pattern used in software engineering. In complex computer applications that present a large amount of data to the user, a developer often wishes to separate data (model) and user interface (view) concerns, so that changes to the user interface will not affect data handling, and that the data can be reorganized without changing the user interface. The model-view-controller solves this problem by decoupling data access and business logic from data presentation and user interaction, by introducing an intermediate component: the controller.Model:    The domain-specific representation of the information that the application operates. Domain logic adds meaning to raw data (e.g., calculating whether today is the user's birthday, or the totals, taxes, and shipping charges for shopping cart items).    Many applications use a persistent storage mechanism (such as a database) to store data. MVC does not specifically mention the data access layer because it is understood to be underneath or encapsulated by the Model.View:    Renders the model into a form suitable for interaction, typically a user interface element. Multiple views can exist for a single model for different purposes.Controller:    Processes and responds to events, typically user actions, and may invoke changes on the model.    

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  • CodePlex Daily Summary for Saturday, May 22, 2010

    CodePlex Daily Summary for Saturday, May 22, 2010New ProjectsDocument Toolkit Extensions: Document Toolkit Extensions provide a variety of samples, document converters and helpers for Document Toolkit, a fast, feature-rich and 100% clien...dream: dreamEnhanced Web Controls: The Enhanced Web Control Library Contains web controls that enhance the functionality of the microsoft input controls. New functionality includes l...Europe Engulfed: Europe Engulfed is a PC version of the classic GMT board war game of the same name simulating World War II in the European theater. It is develope...eXpress Persistent Objects (XPO) Toolkit: eXpress Persistent Objects (XPO) Toolkit provides extensions to the DevExpress Object-Relational Mapping Suite.FBGraph.NET: Write apps for Facebook's Graph API using .NET. Includes support for C#, VB.NET, ASP.NET WebForms and ASP.NET MVC.HugeFlow.OOB: Silverlight OOB Library It supports useful custom controls. WindowChrome, InstallScreen. LivePad: LivePad, It can be used to record your life journey. LivePad,可以用来记录您的人生历程。Management listings: The project is management adsMerthin: Merthin is an F# based Framework which boundaries are not defined yet. For now a bit of linear algebra.Mobile Exchange: Mobile Exchange is a .NET Compact Framework library and sample application for accessing the Stack Exchange API available on sites like Stack Overf...PC/SC Micro: PC/SC Micro is an API and a library. The API is a subset of the PC/SC Lite API and allows a .NET Micro Framework application to communicate with ...SerialPortLogger: SerialPortLogger is a simple monitoring application which montors the serial port and outputs to a database.SharePoint NNTP List Sync: Syncronizes NNTP groups with SharePoint lists and offers post/reply capability. Sets item date as post date and attempts to lookup user in local d...Simple Help System: Simple Help System (SHS) je jednoduchý nápovědný systém jak pro vývojáře tak pro obyčejné lidi. Vyvýjeno v C#.SoulHackers Demon Unite(Chinese version): SoulHackers Demon Unite calculate program, for Chinese version on PlayStationTPager: Mercurial pager with color support on WindowsWork Item Query Administration: Work Item Query Administration (wiqadmin) is command-line utility to manage work item queries in Team Foundation Server. For any TeamProject you ca...XPlatformCPP: A cross platform C++ rendering API, that uses either OpenGL 2.1 or Direct3D 9.0c as a backend. Works with Win32API (Windows), Xlib (Linux,etc...), ...Xshell: Xshell is a replacement for the Windows Explorer shell designed for Media Center/Home Theater PCs.عبر السـدم: عبر السدم هي لعبة ثلاثية الأبعاد من إنجاز أعضاء الشبكة العربية لمطوري الألعاب بالاعتماد على تقنية XNA. http://www.agdn-online.com http://www.ag...New ReleasesAzure Publish-Subscribe: Azure Pub-Sub Developer Manual v0.1: Very early alpha of the documentation. It's an early look at the architecture only.Chaow Framework: Chaow Framework V1.00: Project Description Chaow Framework is the set of class libraries designed for enhancing standard .NET framework. It allows you to write more simpl...Document Toolkit Extensions: Document Toolkit Extensions Beta 1: The first public beta release of Document Toolkit and Document Toolkit Extensions.DotNetNuke Russian Language packs: Core Russian Language Pack for DNN 05.04.02: Core Russian Language Pack for DNN 05.04.02 Добавлены несколько ресурсов из новой редакции... Исправлены ошибки и описки.DynamicJson: Release 1.2.0.0: Fix - Deserialize(cast) can't convert to dynamic[] Fix - Deserialize(cast) throw exception if has getonly propertyEnhanced Web Controls: Enhanced Web Controls: This download includes the Enhanced Web Control Library DLL. Also inlcuded is the most recently tested version of the Ajax Control Toolkit, you may...Europe Engulfed: Europe Engulfed: This is the first release for the Codeplex-based project. It includes all source code changes up to and including Change Set 50762. To use: copy ...Extend SmallBasic: Teaching Extensions v.017: added a quiz for spiderweb recipeFree Silverlight & WPF Chart Control - Visifire: Visifire SL and WPF Charts v3.1.0 Released: Hi, This release contains the following enhancements: Mouse events for TrendLine have been implemented. You can go through Visifire documentation...Free Silverlight & WPF Chart Control - Visifire: Visifire SL and WPF Charts v3.5.3 Released: Hi, This release contains the following enhancements: Mouse events for TrendLine have been implemented. You can go through Visifire documentation...GreedyRSS: GreedyRSS 2.1: SuchSofts GreedyRSS平台整体更新至2.1版,重写了大量代码,可见还不够成熟稳定。此外还有以下几点主要更新: 增加一个辅助类Settings,参见http://semify.spaces.live.com/blog/cns!7CB96C25969B3811!2345.entry...HugeFlow.OOB: HugeFlow.OOB 0.9 Beta for SL4: First release!NLog - Advanced .NET Logging: Nightly Build 2010.05.21.001: Changes since the last build:2010-05-20 23:20:17 Jarek Kowalski added tests for CsvLayout, refactored TargetWithLayoutHeaderAndFooter 2010-05-20 2...patterns & practices SharePoint Guidance: SPG 2010 Drop11: SharePoint Guidance Drop Notes Microsoft patterns and practices What's in this Drop: Docs/CHM ** *DropLocation\CHM\SharePointGuidance.chm ...Persian Date/Time support for MsSQL: Build 59 (STABLE): Removed CreateDateTimeWmS() ! Use public static PersianDateTime CreateDateTime(int year, int month, int day, int hour, int min, int sec) instead. ...PiPiBugNet: 增加了创建新Bug界面: 增加了创建新Bug界面,尚未编写代码Rule 18 - Love your clipboard: Rule 18 (Beta version): This is the beta of the next release for Rule 18. Use if you feel comfortable with software that has minimal real world testing applied. Current...Scrum Sprint Monitor: v1.0.0.48591: What is new in this release? #6132 - Bug with open work hours; Added support for MSF for Agile process template; Improved data reporting in the...sGSHOPedit: sGSHOPedit v1.0 (Alpha): -SharePoint NNTP List Sync: 1.0 Release: You may need to change the posting server within the layouts, it is hard coded A webpart wsp is not provided because you should customize the sou...Silverlight Report Library: Version 2.0: - Upgraded to Silverlight 4.0 RTW - ReportHeader control added which is templateable - PagePrinting and PagePrinted events added - PageBreak ad...Snoop, the WPF Spy Utility: Snoop 2.5.1: This is a minor bug fix release for Snoop. In particular, I have fixed the installers so that they create separately named shortcuts ... for each ...SoulHackers Demon Unite(Chinese version): WCFTestClient: This program is using WCF and .NET 4.0. This version is include unite 2 and unite 3 and check what can unite. Element unite is not included yet.SqlServerExtensions: V 0.1 beta: Version 0.1 BetaStackOverflow.Net: StackOverflow.Net for Silverlight public beta: The beta version of StackOverflow.Net for silverlight 4StackOverflow.Net: StackOverflow.Net for Windows Phone 7 public beta: The Windows Phone 7 version of StackOverflow.netStackOverflow.Net: StackOverflow.Net public beta: A public beta to go along with with the public beta of the Stack Exchange APIStyleCop+: StyleCop+ 0.8: Added new extended rule for SA1502. SP1502 has an option which allows constructors to be placed on a single line.SynthExport: SynthExport 1.1.0: Added support for extraction of camera parameters The number of images in coordinate systems is now shown Added status label Improved user ex...TPager: TPager-20100521: First releaseVCC: Latest build, v2.1.30521.0: Automatic drop of latest buildWcfDoc: 1.0.5: Targeting .NET 4.0.Work Item Query Administration: 1.0: This is the first release an contains the following commands: list import export rename deleteMost Popular ProjectsRawrWBFS ManagerAJAX Control ToolkitMicrosoft SQL Server Product Samples: DatabaseSilverlight ToolkitWindows Presentation Foundation (WPF)patterns & practices – Enterprise LibraryPHPExcelMicrosoft SQL Server Community & SamplesASP.NETMost Active ProjectsRawrpatterns & practices – Enterprise Librarypatterns & practices: Windows Azure Security GuidanceCaliburn: An Application Framework for WPF and SilverlightSQL Server PowerShell ExtensionsGMap.NET - Great Maps for Windows Forms & PresentationBlogEngine.NETCodeReviewNB_Store - Free DotNetNuke Ecommerce Catalog ModulePHPExcel

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  • Podcast Show Notes: Fear and Loathing in SOA

    - by Bob Rhubart
    The latest program (#47) in the Arch2Arch podcast series is the first of three segments from another virtual mini-meet-up with architects from the OTN community, recorded on March 9, 2010. In keeping with the meet-up format, I sent an invitation to my list of past participants in Arch2Arch panel discussions. The following people showed up to take seats at the virtual table and drive the conversation: Hajo Normann is a SOA architect and consultant at EDS in Frankfurt Blog | LinkedIn | Oracle Mix | Oracle ACE Profile | Books  Jeff Davies is a Senior Product Manager at Oracle, and is the primary author of The Definitive Guide to SOA: Oracle Service Bus Homepage | Blog | LinkedIn | Oracle Mix Pat Shepherd is an enterprise architect with the Oracle Enterprise Solutions Group. Oracle Mix | LinkedIn | Blog This first segment focuses on a discussion of the persistent fear of SOA the panelists have observed among many developers and architects. Listen to Part 1 The discussion continues in next week’s segment with a look at the misinformation and misunderstanding behind the fear of SOA, and a discussion of possible solutions. So stay tuned: RSS   del.icio.us Tags: oracle,otn,arch2arch,podcast,soa,service-oriented architecture,enterprise architecture Technorati Tags: oracle,otn,arch2arch,podcast,soa,service-oriented architecture,enterprise architecture

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  • That Escalated Quickly

    - by Jesse Taber
    Originally posted on: http://geekswithblogs.net/GruffCode/archive/2014/05/17/that-escalated-quickly.aspxI have been working remotely out of my home for over 4 years now. All of my coworkers during that time have also worked remotely. Lots of folks have written about the challenges inherent in facilitating communication on remote teams and strategies for overcoming them. A popular theme around this topic is the notion of “escalating communication”. In this context “escalating” means taking a conversation from one mode of communication to a different, higher fidelity mode of communication. Here are the five modes of communication I use at work in order of increasing fidelity: Email – This is the “lowest fidelity” mode of communication that I use. I usually only check it a few times a day (and I’m trying to check it even less frequently than that) and I only keep items in my inbox if they represent an item I need to take action on that I haven’t tracked anywhere else. Forums / Message boards – Being a developer, I’ve gotten into the habit of having other people look over my code before it becomes part of the product I’m working on. These code reviews often happen in “real time” via screen sharing, but I also always have someone else give all of the changes another look using pull requests. A pull request takes my code and lets someone else see the changes I’ve made side-by-side with the existing code so they can see if I did anything dumb. Pull requests can facilitate a conversation about the code changes in an online-forum like style. Some teams I’ve worked on also liked using tools like Trello or Google Groups to have on-going conversations about a topic or task that was being worked on. Chat & Instant Messaging  - Chat and instant messaging are the real workhorses for communication on the remote teams I’ve been a part of. I know some teams that are co-located that also use it pretty extensively for quick messages that don’t warrant walking across the office to talk with someone but reqire more immediacy than an e-mail. For the purposes of this post I think it’s important to note that the terms “chat” and “instant messaging” might insinuate that the conversation is happening in real time, but that’s not always true. Modern chat and IM applications maintain a searchable history so people can easily see what might have been discussed while they were away from their computers. Voice, Video and Screen sharing – Everyone’s got a camera and microphone on their computers now, and there are an abundance of services that will let you use them to talk to other people who have cameras and microphones on their computers. I’m including screen sharing here as well because, in my experience, these discussions typically involve one or more people showing the other participants something that’s happening on their screen. Obviously, this mode of communication is much higher-fidelity than any of the ones listed above. Scheduled meetings are typically conducted using this mode of communication. In Person – No matter how great communication tools become, there’s no substitute for meeting with someone face-to-face. However, opportunities for this kind of communcation are few and far between when you work on a remote team. When a conversation gets escalated that usually means it moves up one or more positions on this list. A lot of people advocate jumping to #4 sooner than later. Like them, I used to believe that, if it was possible, organizing a call with voice and video was automatically better than any kind of text-based communication could be. Lately, however, I’m becoming less convinced that escalating is always the right move. Working Asynchronously Last year I attended a talk at our local code camp given by Drew Miller. Drew works at GitHub and was talking about how they use GitHub internally. Many of the folks at GitHub work remotely, so communication was one of the main themes in Drew’s talk. During the talk Drew used the phrase, “asynchronous communication” to describe their use of chat and pull request comments. That phrase stuck in my head because I hadn’t heard it before but I think it perfectly describes the way in which remote teams often need to communicate. You don’t always know when your co-workers are at their computers or what hours (if any) they are working that day. In order to work this way you need to assume that the person you’re talking to might not respond right away. You can’t always afford to wait until everyone required is online and available to join a voice call, so you need to use text-based, persistent forms of communication so that people can receive and respond to messages when they are available. Going back to my list from the beginning of this post for a second, I characterize items #1-3 as being “asynchronous” modes of communication while we could call items #4 and #5 “synchronous”. When communication gets escalated it’s almost always moving from an asynchronous mode of communication to a synchronous one. Now, to the point of this post: I’ve become increasingly reluctant to escalate from asynchronous to synchronous communication for two primary reasons: 1 – You can often find a higher fidelity way to convey your message without holding a synchronous conversation 2 - Asynchronous modes of communication are (usually) persistent and searchable. You Don’t Have to Broadcast Live Let’s start with the first reason I’ve listed. A lot of times you feel like you need to escalate to synchronous communication because you’re having difficulty describing something that you’re seeing in words. You want to provide the people you’re conversing with some audio-visual aids to help them understand the point that you’re trying to make and you think that getting on Skype and sharing your screen with them is the best way to do that. Firing up a screen sharing session does work well, but you can usually accomplish the same thing in an asynchronous manner. For example, you could take a screenshot and annotate it with some text and drawings to illustrate what it is you’re seeing. If a screenshot won’t work, taking a short screen recording while your narrate over it and posting the video to your forum or chat system along with a text-based description of what’s in the recording that can be searched for later can be a great way to effectively communicate with your team asynchronously. I Said What?!? Now for the second reason I listed: most asynchronous modes of communication provide a transcript of what was said and what decisions might have been made during the conversation. There have been many occasions where I’ve used the search feature of my team’s chat application to find a conversation that happened several weeks or months ago to remember what was decided. Unfortunately, I think the benefits associated with the persistence of communicating asynchronously often get overlooked when people decide to escalate to a in-person meeting or voice/video call. I’m becoming much more reluctant to suggest a voice or video call if I suspect that it might lead to codifying some kind of design decision because everyone involved is going to hang up the call and immediately forget what was decided. I recognize that you can record and archive these types of interactions, but without being able to search them the recordings aren’t terribly useful. When and How To Escalate I don’t mean to imply that communicating via voice/video or in person is never a good idea. I probably jump on a Skype call with a co-worker at least once a day to quickly hash something out or show them a bit of code that I’m working on. Also, meeting in person periodically is really important for remote teams. There’s no way around the fact that sometimes it’s easier to jump on a call and show someone my screen so they can see what I’m seeing. So when is it right to escalate? I think the simplest way to answer that is when the communication starts to feel painful. Everyone’s tolerance for that pain is different, but I think you need to let it hurt a little bit before jumping to synchronous communication. When you do escalate from asynchronous to synchronous communication, there are a couple of things you can do to maximize the effectiveness of the communication: Takes notes – This is huge and yet I’ve found that a lot of teams don’t do this. If you’re holding a meeting with  > 2 people you should have someone taking notes. Taking notes while participating in a meeting can be difficult but there are a few strategies to deal with this challenge that probably deserve a short post of their own. After the meeting, make sure the notes are posted to a place where all concerned parties (including those that might not have attended the meeting) can review and search them. Persist decisions made ASAP – If any decisions were made during the meeting, persist those decisions to a searchable medium as soon as possible following the conversation. All the teams I’ve worked on used a web-based system for tracking the on-going work and a backlog of work to be done in the future. I always try to make sure that all of the cards/stories/tasks/whatever in these systems always reflect the latest decisions that were made as the work was being planned and executed. If held a quick call with your team lead and decided that it wasn’t worth the effort to build real-time validation into that new UI you were working on, go and codify that decision in the story associated with that work immediately after you hang up. Even better, write it up in the story while you are both still on the phone. That way when the folks from your QA team pick up the story to test a few days later they’ll know why the real-time validation isn’t there without having to invoke yet another conversation about the work. Communicating Well is Hard At this point you might be thinking that communicating asynchronously is more difficult than having a live conversation. You’re right: it is more difficult. In order to communicate effectively this way you need to very carefully think about the message that you’re trying to convey and craft it in a way that’s easy for your audience to understand. This is almost always harder than just talking through a problem in real time with someone; this is why escalating communication is such a popular idea. Why wouldn’t we want to do the thing that’s easier? Easier isn’t always better. If you and your team can get in the habit of communicating effectively in an asynchronous manner you’ll find that, over time, all of your communications get less painful because you don’t need to re-iterate previously made points over and over again. If you communicate right the first time, you often don’t need to rehash old conversations because you can go back and find the decisions that were made laid out in plain language. You’ll also find that you get better at doing things like writing useful comments in your code, creating written documentation about how the feature that you just built works, or persuading your team to do things in a certain way.

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  • Caching NHibernate Named Queries

    - by TStewartDev
    I recently started a new job and one of my first tasks was to implement a "popular products" design. The parameters were that it be done with NHibernate and be cached for 24 hours at a time because the query will be pretty taxing and the results do not need to be constantly up to date. This ended up being tougher than it sounds. The database schema meant a minimum of four joins with filtering and ordering criteria. I decided to use a stored procedure rather than letting NHibernate create the SQL for me. Here is a summary of what I learned (even if I didn't ultimately use all of it): You can't, at the time of this writing, use Fluent NHibernate to configure SQL named queries or imports You can return persistent entities from a stored procedure and there are a couple ways to do that You can populate POCOs using the results of a stored procedure, but it isn't quite as obvious You can reuse your named query result mapping other places (avoid duplication) Caching your query results is not at all obvious Testing to see if your cache is working is a pain NHibernate does a lot of things right. Having unified, up-to-date, comprehensive, and easy-to-find documentation is not one of them. By the way, if you're new to this, I'll use the terms "named query" and "stored procedure" (from NHibernate's perspective) fairly interchangeably. Technically, a named query can execute any SQL, not just a stored procedure, and a stored procedure doesn't have to be executed from a named query, but for reusability, it seems to me like the best practice. If you're here, chances are good you're looking for answers to a similar problem. You don't want to read about the path, you just want the result. So, here's how to get this thing going. The Stored Procedure NHibernate has some guidelines when using stored procedures. For Microsoft SQL Server, you have to return a result set. The scalar value that the stored procedure returns is ignored as are any result sets after the first. Other than that, it's nothing special. CREATE PROCEDURE GetPopularProducts @StartDate DATETIME, @MaxResults INT AS BEGIN SELECT [ProductId], [ProductName], [ImageUrl] FROM SomeTableWithJoinsEtc END The Result Class - PopularProduct You have two options to transport your query results to your view (or wherever is the final destination): you can populate an existing mapped entity class in your model, or you can create a new entity class. If you go with the existing model, the advantage is that the query will act as a loader and you'll get full proxied access to the domain model. However, this can be a disadvantage if you require access to the related entities that aren't loaded by your results. For example, my PopularProduct has image references. Unless I tie them into the query (thus making it even more complicated and expensive to run), they'll have to be loaded on access, requiring more trips to the database. Since we're trying to avoid trips to the database by using a second-level cache, we should use the second option, which is to create a separate entity for results. This approach is (I believe) in the spirit of the Command-Query Separation principle, and it allows us to flatten our data and optimize our report-generation process from data source to view. public class PopularProduct { public virtual int ProductId { get; set; } public virtual string ProductName { get; set; } public virtual string ImageUrl { get; set; } } The NHibernate Mappings (hbm) Next up, we need to let NHibernate know about the query and where the results will go. Below is the markup for the PopularProduct class. Notice that I'm using the <resultset> element and that it has a name attribute. The name allows us to drop this into our query map and any others, giving us reusability. Also notice the <import> element which lets NHibernate know about our entity class. <?xml version="1.0" encoding="utf-8" ?> <hibernate-mapping xmlns="urn:nhibernate-mapping-2.2"> <import class="PopularProduct, Infrastructure.NHibernate, Version=1.0.0.0"/> <resultset name="PopularProductResultSet"> <return-scalar column="ProductId" type="System.Int32"/> <return-scalar column="ProductName" type="System.String"/> <return-scalar column="ImageUrl" type="System.String"/> </resultset> </hibernate-mapping>  And now the PopularProductsMap: <?xml version="1.0" encoding="utf-8" ?> <hibernate-mapping xmlns="urn:nhibernate-mapping-2.2"> <sql-query name="GetPopularProducts" resultset-ref="PopularProductResultSet" cacheable="true" cache-mode="normal"> <query-param name="StartDate" type="System.DateTime" /> <query-param name="MaxResults" type="System.Int32" /> exec GetPopularProducts @StartDate = :StartDate, @MaxResults = :MaxResults </sql-query> </hibernate-mapping>  The two most important things to notice here are the resultset-ref attribute, which links in our resultset mapping, and the cacheable attribute. The Query Class – PopularProductsQuery So far, this has been fairly obvious if you're familiar with NHibernate. This next part, maybe not so much. You can implement your query however you want to; for me, I wanted a self-encapsulated Query class, so here's what it looks like: public class PopularProductsQuery : IPopularProductsQuery { private static readonly IResultTransformer ResultTransformer; private readonly ISessionBuilder _sessionBuilder;   static PopularProductsQuery() { ResultTransformer = Transformers.AliasToBean<PopularProduct>(); }   public PopularProductsQuery(ISessionBuilder sessionBuilder) { _sessionBuilder = sessionBuilder; }   public IList<PopularProduct> GetPopularProducts(DateTime startDate, int maxResults) { var session = _sessionBuilder.GetSession(); var popularProducts = session .GetNamedQuery("GetPopularProducts") .SetCacheable(true) .SetCacheRegion("PopularProductsCacheRegion") .SetCacheMode(CacheMode.Normal) .SetReadOnly(true) .SetResultTransformer(ResultTransformer) .SetParameter("StartDate", startDate.Date) .SetParameter("MaxResults", maxResults) .List<PopularProduct>();   return popularProducts; } }  Okay, so let's look at each line of the query execution. The first, GetNamedQuery, matches up with our NHibernate mapping for the sql-query. Next, we set it as cacheable (this is probably redundant since our mapping also specified it, but it can't hurt, right?). Then we set the cache region which we'll get to in the next section. Set the cache mode (optional, I believe), and my cache is read-only, so I set that as well. The result transformer is very important. This tells NHibernate how to transform your query results into a non-persistent entity. You can see I've defined ResultTransformer in the static constructor using the AliasToBean transformer. The name is obviously leftover from Java/Hibernate. Finally, set your parameters and then call a result method which will execute the query. Because this is set to cached, you execute this statement every time you run the query and NHibernate will know based on your parameters whether to use its cached version or a fresh version. The Configuration – hibernate.cfg.xml and Web.config You need to explicitly enable second-level caching in your hibernate configuration: <hibernate-configuration xmlns="urn:nhibernate-configuration-2.2"> <session-factory> [...] <property name="dialect">NHibernate.Dialect.MsSql2005Dialect</property> <property name="cache.provider_class">NHibernate.Caches.SysCache.SysCacheProvider,NHibernate.Caches.SysCache</property> <property name="cache.use_query_cache">true</property> <property name="cache.use_second_level_cache">true</property> [...] </session-factory> </hibernate-configuration> Both properties "use_query_cache" and "use_second_level_cache" are necessary. As this is for a web deployement, we're using SysCache which relies on ASP.NET's caching. Be aware of this if you're not deploying to the web! You'll have to use a different cache provider. We also need to tell our cache provider (in this cache, SysCache) about our caching region: <syscache> <cache region="PopularProductsCacheRegion" expiration="86400" priority="5" /> </syscache> Here I've set the cache to be valid for 24 hours. This XML snippet goes in your Web.config (or in a separate file referenced by Web.config, which helps keep things tidy). The Payoff That should be it! At this point, your queries should run once against the database for a given set of parameters and then use the cache thereafter until it expires. You can, of course, adjust settings to work in your particular environment. Testing Testing your application to ensure it is using the cache is a pain, but if you're like me, you want to know that it's actually working. It's a bit involved, though, so I'll create a separate post for it if comments indicate there is interest.

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  • SQL SERVER – Capturing Wait Types and Wait Stats Information at Interval – Wait Type – Day 5 of 28

    - by pinaldave
    Earlier, I have tried to cover some important points about wait stats in detail. Here are some points that we had covered earlier. DMV related to wait stats reset when we reset SQL Server services DMV related to wait stats reset when we manually reset the wait types However, at times, there is a need of making this data persistent so that we can take a look at them later on. Sometimes, performance tuning experts do some modifications to the server and try to measure the wait stats at that point of time and after some duration. I use the following method to measure the wait stats over the time. -- Create Table CREATE TABLE [MyWaitStatTable]( [wait_type] [nvarchar](60) NOT NULL, [waiting_tasks_count] [bigint] NOT NULL, [wait_time_ms] [bigint] NOT NULL, [max_wait_time_ms] [bigint] NOT NULL, [signal_wait_time_ms] [bigint] NOT NULL, [CurrentDateTime] DATETIME NOT NULL, [Flag] INT ) GO -- Populate Table at Time 1 INSERT INTO MyWaitStatTable ([wait_type],[waiting_tasks_count],[wait_time_ms],[max_wait_time_ms],[signal_wait_time_ms], [CurrentDateTime],[Flag]) SELECT [wait_type],[waiting_tasks_count],[wait_time_ms],[max_wait_time_ms],[signal_wait_time_ms], GETDATE(), 1 FROM sys.dm_os_wait_stats GO ----- Desired Delay (for one hour) WAITFOR DELAY '01:00:00' -- Populate Table at Time 2 INSERT INTO MyWaitStatTable ([wait_type],[waiting_tasks_count],[wait_time_ms],[max_wait_time_ms],[signal_wait_time_ms], [CurrentDateTime],[Flag]) SELECT [wait_type],[waiting_tasks_count],[wait_time_ms],[max_wait_time_ms],[signal_wait_time_ms], GETDATE(), 2 FROM sys.dm_os_wait_stats GO -- Check the difference between Time 1 and Time 2 SELECT T1.wait_type, T1.wait_time_ms Original_WaitTime, T2.wait_time_ms LaterWaitTime, (T2.wait_time_ms - T1.wait_time_ms) DiffenceWaitTime FROM MyWaitStatTable T1 INNER JOIN MyWaitStatTable T2 ON T1.wait_type = T2.wait_type WHERE T2.wait_time_ms > T1.wait_time_ms AND T1.Flag = 1 AND T2.Flag = 2 ORDER BY DiffenceWaitTime DESC GO -- Clean up DROP TABLE MyWaitStatTable GO If you notice the script, I have used an additional column called flag. I use it to find out when I have captured the wait stats and then use it in my SELECT query to SELECT wait stats related to that time group. Many times, I select more than 5 or 6 different set of wait stats and I find this method very convenient to find the difference between wait stats. In a future blog post, we will talk about specific wait stats. Read all the post in the Wait Types and Queue series. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL DMV, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, SQL Wait Stats, SQL Wait Types, T SQL, Technology

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  • Commit in SQL

    - by PRajkumar
    SQL Transaction Control Language Commands (TCL)                                           (COMMIT) Commit Transaction As a SQL language we use transaction control language very frequently. Committing a transaction means making permanent the changes performed by the SQL statements within the transaction. A transaction is a sequence of SQL statements that Oracle Database treats as a single unit. This statement also erases all save points in the transaction and releases transaction locks. Oracle Database issues an implicit COMMIT before and after any data definition language (DDL) statement. Oracle recommends that you explicitly end every transaction in your application programs with a COMMIT or ROLLBACK statement, including the last transaction, before disconnecting from Oracle Database. If you do not explicitly commit the transaction and the program terminates abnormally, then the last uncommitted transaction is automatically rolled back.   Until you commit a transaction: ·         You can see any changes you have made during the transaction by querying the modified tables, but other users cannot see the changes. After you commit the transaction, the changes are visible to other users' statements that execute after the commit ·         You can roll back (undo) any changes made during the transaction with the ROLLBACK statement   Note: Most of the people think that when we type commit data or changes of what you have made has been written to data files, but this is wrong when you type commit it means that you are saying that your job has been completed and respective verification will be done by oracle engine that means it checks whether your transaction achieved consistency when it finds ok it sends a commit message to the user from log buffer but not from data buffer, so after writing data in log buffer it insists data buffer to write data in to data files, this is how it works.   Before a transaction that modifies data is committed, the following has occurred: ·         Oracle has generated undo information. The undo information contains the old data values changed by the SQL statements of the transaction ·         Oracle has generated redo log entries in the redo log buffer of the System Global Area (SGA). The redo log record contains the change to the data block and the change to the rollback block. These changes may go to disk before a transaction is committed ·         The changes have been made to the database buffers of the SGA. These changes may go to disk before a transaction is committed   Note:   The data changes for a committed transaction, stored in the database buffers of the SGA, are not necessarily written immediately to the data files by the database writer (DBWn) background process. This writing takes place when it is most efficient for the database to do so. It can happen before the transaction commits or, alternatively, it can happen some times after the transaction commits.   When a transaction is committed, the following occurs: 1.      The internal transaction table for the associated undo table space records that the transaction has committed, and the corresponding unique system change number (SCN) of the transaction is assigned and recorded in the table 2.      The log writer process (LGWR) writes redo log entries in the SGA's redo log buffers to the redo log file. It also writes the transaction's SCN to the redo log file. This atomic event constitutes the commit of the transaction 3.      Oracle releases locks held on rows and tables 4.      Oracle marks the transaction complete   Note:   The default behavior is for LGWR to write redo to the online redo log files synchronously and for transactions to wait for the redo to go to disk before returning a commit to the user. However, for lower transaction commit latency application developers can specify that redo be written asynchronously and that transaction do not need to wait for the redo to be on disk.   The syntax of Commit Statement is   COMMIT [WORK] [COMMENT ‘your comment’]; ·         WORK is optional. The WORK keyword is supported for compliance with standard SQL. The statements COMMIT and COMMIT WORK are equivalent. Examples Committing an Insert INSERT INTO table_name VALUES (val1, val2); COMMIT WORK; ·         COMMENT Comment is also optional. This clause is supported for backward compatibility. Oracle recommends that you used named transactions instead of commit comments. Specify a comment to be associated with the current transaction. The 'text' is a quoted literal of up to 255 bytes that Oracle Database stores in the data dictionary view DBA_2PC_PENDING along with the transaction ID if a distributed transaction becomes in doubt. This comment can help you diagnose the failure of a distributed transaction. Examples The following statement commits the current transaction and associates a comment with it: COMMIT     COMMENT 'In-doubt transaction Code 36, Call (415) 555-2637'; ·         WRITE Clause Use this clause to specify the priority with which the redo information generated by the commit operation is written to the redo log. This clause can improve performance by reducing latency, thus eliminating the wait for an I/O to the redo log. Use this clause to improve response time in environments with stringent response time requirements where the following conditions apply: The volume of update transactions is large, requiring that the redo log be written to disk frequently. The application can tolerate the loss of an asynchronously committed transaction. The latency contributed by waiting for the redo log write to occur contributes significantly to overall response time. You can specify the WAIT | NOWAIT and IMMEDIATE | BATCH clauses in any order. Examples To commit the same insert operation and instruct the database to buffer the change to the redo log, without initiating disk I/O, use the following COMMIT statement: COMMIT WRITE BATCH; Note: If you omit this clause, then the behavior of the commit operation is controlled by the COMMIT_WRITE initialization parameter, if it has been set. The default value of the parameter is the same as the default for this clause. Therefore, if the parameter has not been set and you omit this clause, then commit records are written to disk before control is returned to the user. WAIT | NOWAIT Use these clauses to specify when control returns to the user. The WAIT parameter ensures that the commit will return only after the corresponding redo is persistent in the online redo log. Whether in BATCH or IMMEDIATE mode, when the client receives a successful return from this COMMIT statement, the transaction has been committed to durable media. A crash occurring after a successful write to the log can prevent the success message from returning to the client. In this case the client cannot tell whether or not the transaction committed. The NOWAIT parameter causes the commit to return to the client whether or not the write to the redo log has completed. This behavior can increase transaction throughput. With the WAIT parameter, if the commit message is received, then you can be sure that no data has been lost. Caution: With NOWAIT, a crash occurring after the commit message is received, but before the redo log record(s) are written, can falsely indicate to a transaction that its changes are persistent. If you omit this clause, then the transaction commits with the WAIT behavior. IMMEDIATE | BATCH Use these clauses to specify when the redo is written to the log. The IMMEDIATE parameter causes the log writer process (LGWR) to write the transaction's redo information to the log. This operation option forces a disk I/O, so it can reduce transaction throughput. The BATCH parameter causes the redo to be buffered to the redo log, along with other concurrently executing transactions. When sufficient redo information is collected, a disk write of the redo log is initiated. This behavior is called "group commit", as redo for multiple transactions is written to the log in a single I/O operation. If you omit this clause, then the transaction commits with the IMMEDIATE behavior. ·         FORCE Clause Use this clause to manually commit an in-doubt distributed transaction or a corrupt transaction. ·         In a distributed database system, the FORCE string [, integer] clause lets you manually commit an in-doubt distributed transaction. The transaction is identified by the 'string' containing its local or global transaction ID. To find the IDs of such transactions, query the data dictionary view DBA_2PC_PENDING. You can use integer to specifically assign the transaction a system change number (SCN). If you omit integer, then the transaction is committed using the current SCN. ·         The FORCE CORRUPT_XID 'string' clause lets you manually commit a single corrupt transaction, where string is the ID of the corrupt transaction. Query the V$CORRUPT_XID_LIST data dictionary view to find the transaction IDs of corrupt transactions. You must have DBA privileges to view the V$CORRUPT_XID_LIST and to specify this clause. ·         Specify FORCE CORRUPT_XID_ALL to manually commit all corrupt transactions. You must have DBA privileges to specify this clause. Examples Forcing an in doubt transaction. Example The following statement manually commits a hypothetical in-doubt distributed transaction. Query the V$CORRUPT_XID_LIST data dictionary view to find the transaction IDs of corrupt transactions. You must have DBA privileges to view the V$CORRUPT_XID_LIST and to issue this statement. COMMIT FORCE '22.57.53';

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  • Caching in the .NET Stack: Inside-Out

    - by Elton Stoneman
    Originally posted on: http://geekswithblogs.net/EltonStoneman/archive/2013/06/28/caching-in-the-.net-stack-inside-out.aspxI'm delighted to have my first course published on Pluralsight - Caching in the .NET Stack: Inside-out.   It's a pretty comprehensive look at caching in .NET solutions. The first half covers using local, remote and persistent cache stores inside the solution, including the .NET MemoryCache, NCache Express, AppFabric Caching, memcached, Azure Table Storage and local disk stores. The second half covers caching outside the solution in HTTP clients and proxies, and how to set up ASP.NET WebForms, MVC, Web API and WCF projects to use HTTP validation and expiration caching.   The course takes a hands-on approach, starting with a distributed solution that has no caching, analysing key points which can benefit from caching, and adding different types of cache. At the end of the course I run through a set of before and after performance tests, stressing the solution under load. Without caching and with 60 concurrent users the page response time maxes out at 18 seconds - with caching that falls to 2 seconds, so it's a huge improvement from very little effort. I’d be glad to hear feedback if you watch the course, especially if it’s as positive as my editor’s.

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  • iStack for iPad

    - by Jonathan
    The below image is the current, and hopefully final, look of the front screen, the app will remember which stack site you have chosen so the user will only see this screen the first time, but they can always go back and change it. The red bar is only there when a new site is added (the StackOverflow is just a test as no site has been added since I implemented this) and can be gotten rid of by tapping the X on the right side (which isn't in the screenshot). Each column now has an edit button where the sites can be rearranged and moved from favourites to non favourites and this is persistent between app launches, moving a site in one column moves it in all of them. I've removed site icons in order to put them in properly so they load lazily and theres no UI freezing. Printing Functionality all implemented and working, thanks to systempuntoout's stackprinter.com works with AirPrint, which means this app will be iOS 4.2 minimum. Current features: 3 columns Email link to question, open in safari and copy link actions History for both questions and sites visited In app notification (red bar at the top) when a new site makes it into beta. StackPrinter in the app, without needing safari, and AirPrint functionality. Facebook Intergration Planned: Local Favourites Watching (a list of questions your watching, like short term favourites, with eventually push notifications) Web service to access local favourites and watches on non-iPad devices. Twitter integration. Safari bookmarklet to open question in iStack from safari In app notification for when site progresses from beta to normal. In app notification history

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  • First JSRs Proposed for Java EE 7

    - by Jacob Lehrbaum
    With the approval of Java SE 7 and Java SE 8 JSRs last month, attention is now shifting towards the Java EE platform.  While functionality pegged for Java EE 7 was previewed at least as early as Devoxx, the filing of these JSRs marks the first, officially proposed, specifications for the next generation of the popular application server standard.  Let's take a quick look at the proposed new functionality.Java Persistence API 2.1The first of the new proposed specifications is JSR 338: Java Persistence API (JPA) 2.1. JPA is designed for use with both Java EE and Java SE and: "deals with the way relational data is mapped to Java objects ("persistent entities"), the way that these objects are stored in a relational database so that they can be accessed at a later time, and the continued existence of an entity's state even after the application that uses it ends. In addition to simplifying the entity persistence model, the Java Persistence API standardizes object-relational mapping." (more about JPA)JAX-RS 2.0The second of the new Java specifications that have been proposed is JSR 339, otherwise known as JAX-RS 2.0. JAX-RS provides an API that enables the easy creation of web services using the Representational State Transfer (REST) architecture.  Key features proposed in the new JSR include a Client API, improved support for URIs, a Model-View-Controller architecture and much more!More informationOfficial proposal for Java Persistence 2.1 (jcp.org)Official proposal for JAX-RS 2.0 (jcp.org)Kicking off Java EE 7 with 2 JSRs: JAX-RS 2.0 / JPA 2.1 (the Aquarium)

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  • Transient VO : Powerful J2EE Design Pattern

    - by Vijay Mohan
    We had a use-case wherein, the communication has to happen between regions residing under differenet taskfows. Essentially, they had a common set of parameters to be used. Initially, we resorted to the  use of pageFlowScope variables, but they are tightly coupled with the individual task flows. So, how the communication has to happen..?Some of the alternatives that we brainstormed into are - 1.usage of adf contextual event - This is a powerful feature indeed for such use-cases, but there is a considerable cost involved with it. So, before resorting to it, you have to make sure that you have good enough reason to use it.It actually does a server roundtrip and also the issue of an event and listening part to it is also something which requires your attention !!2.Use a transientVO with shared data control scope - with shared data control scope, the transient VO rows would be persistent across the task flows in your application. All you have to do is to create the attributes in the transientVO(prefereably with the same names - for the ease of conversion) and create some utility methods in VOImpl for creating row, updating row and deleting a row. You also have to make sure that the vo row is initialized per http request( this you can do in a bookmark method of your index.jspx - residing in adfc-config.xml), else the ui fields binded to the transient vo attributes won't render in UI.Hope, this helps and this should be a common use-case across apps.

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  • How do I align my partition table properly?

    - by Jorge Castro
    I am in the process of building my first RAID5 array. I've used mdadm to create the following set up: root@bondigas:~# mdadm --detail /dev/md1 /dev/md1: Version : 00.90 Creation Time : Wed Oct 20 20:00:41 2010 Raid Level : raid5 Array Size : 5860543488 (5589.05 GiB 6001.20 GB) Used Dev Size : 1953514496 (1863.02 GiB 2000.40 GB) Raid Devices : 4 Total Devices : 4 Preferred Minor : 1 Persistence : Superblock is persistent Update Time : Wed Oct 20 20:13:48 2010 State : clean, degraded, recovering Active Devices : 3 Working Devices : 4 Failed Devices : 0 Spare Devices : 1 Layout : left-symmetric Chunk Size : 64K Rebuild Status : 1% complete UUID : f6dc829e:aa29b476:edd1ef19:85032322 (local to host bondigas) Events : 0.12 Number Major Minor RaidDevice State 0 8 16 0 active sync /dev/sdb 1 8 32 1 active sync /dev/sdc 2 8 48 2 active sync /dev/sdd 4 8 64 3 spare rebuilding /dev/sde While that's going I decided to format the beast with the following command: root@bondigas:~# mkfs.ext4 /dev/md1p1 mke2fs 1.41.11 (14-Mar-2010) /dev/md1p1 alignment is offset by 63488 bytes. This may result in very poor performance, (re)-partitioning suggested. Filesystem label= OS type: Linux Block size=4096 (log=2) Fragment size=4096 (log=2) Stride=16 blocks, Stripe width=48 blocks 97853440 inodes, 391394047 blocks 19569702 blocks (5.00%) reserved for the super user First data block=0 Maximum filesystem blocks=0 11945 block groups 32768 blocks per group, 32768 fragments per group 8192 inodes per group Superblock backups stored on blocks: 32768, 98304, 163840, 229376, 294912, 819200, 884736, 1605632, 2654208, 4096000, 7962624, 11239424, 20480000, 23887872, 71663616, 78675968, 102400000, 214990848 Writing inode tables: ^C 27/11945 root@bondigas:~# ^C I am unsure what to do about "/dev/md1p1 alignment is offset by 63488 bytes." and how to properly partition the disks to match so I can format it properly.

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  • Ethernet card not detected on Ubuntu Server 12.04

    - by Dana
    My onboard ethernet isn't detected after a re-install of Server 12.04. For reasons I won't get into here, I had to put the server's drive into another machine to install Ubuntu, then swap back into the server. So the server starts up fine, except for the "Waiting for network configuration". I read in another article that Server, by default, doesn't handle new mac addresses for hardware changes dynamically, unlike Ubuntu Desktop, but a look at /etc/udev/rules.d/70-persistent-net.rules shows only one ethernet interface. Shouldn't it show both the old, and the new? lspci -vv shows an ethernet interface, so what the heck is going on? I should mention that the onboard LAN is enabled in the BIOS. And I know this isn't important, but all this started when I changed some network configuration settings in webmin before the re-install. It couldn't download any updates, so I tinkered a little. Broke, it, installed FreeNAS, which worked, but I didn't like it, then went back to Ubuntu Server, and now I'm in this pickle. Thanks for any advice!

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  • DDD Model Design and Repository Persistence Performance Considerations

    - by agarhy
    So I have been reading about DDD for some time and trying to figure out the best approach on several issues. I tend to agree that I should design my model in a persistent agnostic manner. And that repositories should load and persist my models in valid states. But are these approaches realistic practically? I mean its normal for a model to hold a reference to a collection of another type. Persisting that model should mean persist the entire collection. Fine. But do I really need to load the entire collection every time I load the model? Probably not. So I can have specialized repositories. Some that load maybe a subset of the object graph via DTOs and others that load the entire object graph. But when do I use which? If I have DTOs, what's stopping client code from directly calling them and completely bypassing the model? I can have mappers and factories to create my models from DTOs maybe? But depending on the design of my models that might not always work. Or it might not allow my models to be created in a valid state. What's the correct approach here?

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  • How can I make PDFs appear life-size when displayed at 100%?

    - by ændrük
    When I open a letter size PDF and then zoom to 100%, the page physically displayed on my monitor is smaller than a real letter size sheet of paper. How can I make "100%" on the computer screen correspond with "100%" in real life? Details This message suggests that I should be investigating the system-wide DPI settings for my monitor. xdpyinfo reports: dimensions: 1024x768 pixels (271x203 millimeters) resolution: 96x96 dots per inch My monitor has a native display resolution of 1024x768 pixels and a diagonal display size of 12.07 inches. PX CALC returns the following information: DPI: 106.05 Dot Pitch: 0.2395mm Size: 9.66" × 7.24" (24.53cm × 18.39cm) What I've tried so far Running xrandr --dpi 106.05 successfully caused my PDF to appear actual size at 100%, but this effect was lost after rebooting. To make the setting persistent I tried creating the following /etc/X11/xorg.conf: Section "Monitor" Identifier "ThinkPad X60 LCD" DisplaySize 245 183 EndSection Section "Screen" Identifier "Screen0" Monitor "ThinkPad X60 LCD" EndSection After re-logging in, /var/log/Xorg.0.log contained [ 1167.824] (**) intel(0): Display dimensions: (245, 183) mm [ 1167.824] (**) intel(0): DPI set to (106, 106) but xdpyinfo still reported dimensions: 1024x768 pixels (271x203 millimeters) resolution: 96x96 dots per inch and "100%" still appeared too small. Link to XRANDR wiki Link to making XRANDR changes persistant

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  • CLR 4.0: Corrupted State Exceptions

    - by Scott Dorman
    Corrupted state exceptions are designed to help you have fewer bugs in your code by making it harder to make common mistakes around exception handling. A very common pattern is code like this: public void FileSave(String name) { try { FileStream fs = new FileStream(name, FileMode.Create); } catch (Exception e) { MessageBox.Show("File Open Error"); throw new Exception(IOException); } The standard recommendation is not to catch System.Exception but rather catch the more specific exceptions (in this case, IOException). While this is a somewhat contrived example, what would happen if Exception were really an AccessViolationException or some other exception indicating that the process state has been corrupted? What you really want to do is get out fast before persistent data is corrupted or more work is lost. To help solve this problem and minimize the chance that you will catch exceptions like this, CLR 4.0 introduces Corrupted State Exceptions, which cannot be caught by normal catch statements. There are still places where you do want to catch these types of exceptions, particularly in your application’s “main” function or when you are loading add-ins.  There are also rare circumstances when you know code that throws an exception isn’t dangerous, such as when calling native code. In order to support these scenarios, a new HandleProcessCorruptedStateExceptions attribute has been added. This attribute is added to the function that catches these exceptions. There is also a process wide compatibility switch named legacyCorruptedStateExceptionsPolicy which when set to true will cause the code to operate under the older exception handling behavior. Technorati Tags: CLR 4.0, .NET 4.0, Exception Handling, Corrupted State Exceptions

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  • Ubuntu not shutting down ( going to black screen ) 12.04

    - by Orrin Fox
    I am currently using a USB persistent install of ubuntu. its a simple 4GB drive with a 2.8GB partition ( casper-rw storage partition ). I setup an administrator account and set it to login automatically. I also removed ubiquity to simply use this as a go anywhere install. Heres my issue. Im logged in as my account, and I click the top right gear and select "shut down". Text pops up showing its quitting processes.. etc. and then goes to the plymouth animation. But... The screen goes black, and then it goes to the login screen. Now when im at the login screen i go into terminal ( alt+F2 ) and dont you know, im logged in as Ubuntu. so then I try the following: ubuntu@ubuntu:~$ sudo shutdown now It goes to the plymouth screen again as if its shutting down, AND the screen goes black once again but the computer has not turned off, as in the usb is still flashing the light, the fans are still on, the only thing off is the screen. Is this a bug? If not maybe i did something wrong? Perhaps its that I made an account but... if there is a work around for this please let me know. Thanks again, Fox

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  • Alternatives to a leveling system

    - by Bane
    I'm currently designing a rough prototype of a mecha fighting game. These are the basics I came up with: Multiplayer (matchmaking for up to 10 people, for now) Browser based (HTML5) 2D (<canvas>) Persistent (as in, players have accounts and don't have to use a new mech each time they start a match) Players earn money upon destroying another mech, which is used to buy parts (guns, armor, boosters, etc) Simplicity (both of the game itself, and of the development of said game) No "leveling" (as in, players don't get awarded with XP) The last part is bothering me. At first, I wanted to have players gain experience points (XP) when destroying other mechs, but gaining two things at once (money and XP) seemed to be in conflict with my last point, which is simplicity. If I were to have a leveling system, that would require additional development. But, the biggest problem is that I simply couldn't fit it anywhere! Adding levels would require adding meaning to these levels, and most of the things that I hoped to achieve could already be achieved with the money mechanic I introduced. So I decided to drop leveling off completely. That, in turn, removed a fairly popular and robust mean of progression in games from my game (not that I would use it well anyway). Is there another way of progression in games, aside from leveling and XP points, that wouldn't get rendered redundant by my money mechanic, would be somehow meaningful (even on a symbolic level), and wouldn't be in conflict with my last point, which is simplicity?

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  • Pattern for Accessing MySQL connection

    - by Dipan Mehta
    We have an application which is C++ trying to access MySQL database. There are several (about 5 or so) threads in the application (with Boost library for threading) and in each thread has a few objects, each of which is trying to access Database for its' own purpose. It has a simple ORM kind of model but that really is not an important factor here. There are three potential access patterns i can think of: There could be single connection object per application or thread and is shared between all (or group). The object needs to be thread safe and there will be contentions but MySQL will not be fired with too many connections. Every object could initiate connection on its own. The database needs to take care of concurrency (which i think MySQL can) and the design could be much simpler. There could be two possibilities here. a. either object keeps a persistent connection for its life OR b. object initiate connection as and when needed. To simplify the contention as in case of 1 and not to create too many sockets as in case of 2, we can have group/set based connections. So there could be there could be more than one connection (say N), each of this connection could be shared connection across M objects. Naturally, each of the pattern has different resource cost and would work under different constraints and objectives. What criteria should i use to choose the pattern of this for my own application? What are some of the advantages and disadvantages of each of these pattern over the other? Are there any other pattern which is better? PS: I have been through these questions: mysql, one connection vs multiple and MySQL with mutiple threads and processes But they don't quite answer exactly what i am trying to ask.

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  • Can not mount /dev/loop0 (/cdrom/casper/filesystem.squashfs)

    - by simpleton
    I downloaded 12.04.1 and md5 sum checked them and everything is good. Made a live usb and booted up... Just gets to where its about to start with the purple ubuntu loading screen then it goes back to text and gives this message: BusyBox v1.18.5 (Ubuntu 1:1.18.5-1ubuntu4) built-in shell (ash) Enter 'help' for a list of built-in commands. (initramfs) mount: mounting /dev/loop0 on ///filesystem.squashfs failed: Input/output error Can not mount /dev/loop0 (/cdrom/casper/filesystem.squashfs) on //filesystem.squashfs This happens in the live option, or persistent even the file checking one doesn't work Also I've tried a few different F6 options to no avail. I used 'LiLi USB creator' and 'unetbootin' and also 'Universal USB Installer,' all with the same results. I've also tried using a VM and it showed the same. That is when I figured I had a corrupt .iso so I downloaded it again checked the MD5: e235b63c02644e219b7bf3668f479c9e. Only I'm having the same problem. I'm just about ready to give up on 12.04.1 and just go back to 10.04 utill the next LTS comes out. I've got a dell mini 10 btw. Thanks for your time.

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  • What are the possible options for AI path-finding etc when the world is "partitionned"?

    - by Sebastien Diot
    If you anticipate a large persistent game world, and you don't want to end up with some game server crashing due to overload, then you have to design from the ground up a game world that is partitioned in chunks. This is in particular true if you want to run your game servers in the cloud, where each individual VM is relatively week, and memory and CPU are at a premium. I think the biggest challenge here is that the player receives all the parts around the location of the avatar, but mobs/monsters are normally located in the server itself, and can only directly access the data about the part of the world that the server own. So how can we make the AI behave realistically in that context? It can send queries to the other servers that own the neighboring parts, but that sounds rather network intensive and latency prone. It would probably be more performant for each mob AI to be spread over the neighboring parts, and proactively send the relevant info to the part that contains the actual mob atm. That would also reduce the stress in a mob crossing a border between two parts, and therefore "switching server". Have you heard of any AI design that solves those issues? Some kind of distributed AI brain? Maybe some kind of "agent" community working together through message passing?

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  • Which software to keep track of my project?

    - by Exa
    I'm about to start the first real phase of my game development which will consist of the acquisition of information, resources and the definition of where I want to go and what I will need for that. I just want to make sure that I'm prepared as best as possible before I actually start development. I don't like the thought of using Microsoft Word or Excel for my project management... I already worked with MS Project but I don't think it fits my needs. I need a software where I can easily maintain project steps, milestones, important issues, information about technologies and engines I use, as well as simple notes and thoughts I just want to write down. I usually prefer a whiteboard for stuff like that but unfortunately it's not a persistent way of storing. ;) Also writing it down the old-school way is something I can think of, but only for quick notes... Which software do you use for that? Are there commonly used programs? Is there any free software at all?

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  • Using Groovy Aggregate Functions in ADF BC

    - by Sireesha Pinninti
    This article explains how groovy aggregate functions(sum, count, min, max and avg) can be used in ADF Business components and demonstrates how these can be used at entity and view level Let's consider EMP and DEPT tables and an usecase to track number of employees in each department   Entity-Level To use aggregate functions at entity level, we need to have association between entities representing master and child relationship and the destination accessor name is what we are going to use in our groovy Syntax: <Accessor>.count(Groovyexpression) - Note down the destination accessor name(EMP) in the association or AccessorAttribute name in source entity - Add a transient attribute in source entity with persistent property set to false and provide the groovy expression in the syntax provided above - Finally, Add newly added attribute to view object View-Level To use aggregate functions at view level, we need to have a view link between viewobjects representing master and child relationship and the destination accessor name is what we are going to use in our groovy Syntax: <ViewLinkAccessor>.count(Groovyexpression) - Note down the destination accessor name(EmpView) in the view link or viewLinkAccessor name in source view - Add a transient attribute in view object and provide a groovy aggregate function count as a value to it in the syntax provided above Now, If you run application module tester and execute DeptView / ViewLink, you should see employee count in EmpCount field  In similar way, one can use other groovy aggregate functions sum, avg, min and max.

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  • Test Data in a Distributed System

    - by Davin Tryon
    A question that has been vexing me lately has been about how to effectively test (end-to-end) features in a distributed system. Particuarly, how to effectively manage (through time) test data for feature testing. The system in question is a typical SOA setup. The composition is done in JavaScript when call to several REST APIs. Each service is built as an independent block. Each service has some kind of persistent storage (SQL Server in most cases). The main issue at the moment is how to approach test data when testing end-to-end features. Functional end-to-end testing occurs through the UI, and it is therefore necessary for test data to be set up before the test run (this could be manual or automated testing). As is typical in a distributed system, identifiers from one service are used as a link in another service. So, some level of synchronization needs to be present in the data to effectively test. What is the best way to manage and set up this data after a successful deployment to a test environment? For example, is it better to manage this test data inside each service? Or package it together with the testing suite? Does that testing suite exist as a separate project? I'm interested in design guidance about how to store and manage this test data as the application features evolve.

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