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  • CodePlex Daily Summary for Tuesday, July 02, 2013

    CodePlex Daily Summary for Tuesday, July 02, 2013Popular ReleasesMastersign.Expressions: Mastersign.Expressions v0.4.2: added support for if(<cond>, <true-part>, <false-part>) fixed multithreading issue with rand() improved demo applicationNB_Store - Free DotNetNuke Ecommerce Catalog Module: NB_Store v2.3.6 Rel0: v2.3.6 Is now DNN6 and DNN7 compatible Important : During update this install with overwrite the menu.xml setting, if you have changed this then make a backup before you upgrade and reapply your changes after the upgrade. Please view the following documentation if you are installing and configuring this module for the first time System Requirements Skill requirements Downloads and documents Step by step guide to a working store Please ask all questions in the Discussions tab. Document.Editor: 2013.26: What's new for Document.Editor 2013.26: New Insert Chart Improved User Interface Minor Bug Fix's, improvements and speed upsWsus Package Publisher: Release V1.2.1307.01: Fix an issue in the UI, approvals are not shown correctly in the 'Report' tabDirectX Tool Kit: July 2013: July 1, 2013 VS 2013 Preview projects added and updates for DirectXMath 3.05 vectorcall Added use of sRGB WIC metadata for JPEG, PNG, and TIFF SaveToWIC functions updated with new optional setCustomProps parameter and error check with optional targetFormatCore Server 2012 Powershell Script Hyper-v Manager: new_root.zip: Verison 1.0JSON Toolkit: JSON Toolkit 4.1.736: Improved strinfigy performance New serializing feature New anonymous type support in constructorsDotNetNuke® IFrame: IFrame 04.05.00: New DNN6/7 Manifest file and Azure Compatibility.VidCoder: 1.5.2 Beta: Fixed crash on presets with an invalid bitrate.Gardens Point LEX: Gardens Point LEX version 1.2.1: The main distribution is a zip file. This contains the binary executable, documentation, source code and the examples. ChangesVersion 1.2.1 has new facilities for defining and manipulating character classes. These changes make the construction of large Unicode character classes more convenient. The runtime code for performing automaton backup has been re-implemented, and is now faster for scanners that need backup. Source CodeThe distribution contains a complete VS2010 project for the appli...ZXMAK2: Version 2.7.5.7: - fix TZX emulation (Bruce Lee, Zynaps) - fix ATM 16 colors for border - add memory module PROFI 512K; add PROFI V03 rom image; fix PROFI 3.XX configTwitter image Downloader: Twitter Image Downloader 2 with Installer: Application file with Install shield and Dot Net 4.0 redistributableUltimate Music Tagger: Ultimate Music Tagger 1.0.0.0: First release of Ultimate Music TaggerBlackJumboDog: Ver5.9.2: 2013.06.28 Ver5.9.2 (1) ??????????(????SMTP?????)?????????? (2) HTTPS???????????Outlook 2013 Add-In: Configuration Form: This new version includes the following changes: - Refactored code a bit. - Removing configuration from main form to gain more space to display items. - Moved configuration to separate form. You can click the little "gear" icon to access the configuration form (still very simple). - Added option to show past day appointments from the selected day (previous in time, that is). - Added some tooltips. You will have to uninstall the previous version (add/remove programs) if you had installed it ...Terminals: Version 3.0 - Release: Changes since version 2.0:Choose 100% portable or installed version Removed connection warning when running RDP 8 (Windows 8) client Fixed Active directory search Extended Active directory search by LDAP filters Fixed single instance mode when running on Windows Terminal server Merged usage of Tags and Groups Added columns sorting option in tables No UAC prompts on Windows 7 Completely new file persistence data layer New MS SQL persistence layer (Store data in SQL database)...NuGet: NuGet 2.6: Released June 26, 2013. Release notes: http://docs.nuget.org/docs/release-notes/nuget-2.6Python Tools for Visual Studio: 2.0 Beta: We’re pleased to announce the release of Python Tools for Visual Studio 2.0 Beta. Python Tools for Visual Studio (PTVS) is an open-source plug-in for Visual Studio which supports programming with the Python language. PTVS supports a broad range of features including CPython/IronPython, Edit/Intellisense/Debug/Profile, Cloud, HPC, IPython, and cross platform debugging support. For a quick overview of the general IDE experience, please watch this video: http://www.youtube.com/watch?v=TuewiStN...Player Framework by Microsoft: Player Framework for Windows 8 and WP8 (v1.3 beta): Preview: New MPEG DASH adaptive streaming plugin for Windows Azure Media Services Preview: New Ultraviolet CFF plugin. Preview: New WP7 version with WP8 compatibility. (source code only) Source code is now available via CodePlex Git Misc bug fixes and improvements: WP8 only: Added optional fullscreen and mute buttons to default xaml JS only: protecting currentTime from returning infinity. Some videos would cause currentTime to be infinity which could cause errors in plugins expectin...AssaultCube Reloaded: 2.5.8: SERVER OWNERS: note that the default maprot has changed once again. Linux has Ubuntu 11.10 32-bit precompiled binaries and Ubuntu 10.10 64-bit precompiled binaries, but you can compile your own as it also contains the source. If you are using Mac or other operating systems, please wait while we continue to try to package for those OSes. Or better yet, try to compile it. If it fails, download a virtual machine. The server pack is ready for both Windows and Linux, but you might need to compi...New ProjectsALM Rangers DevOps Tooling and Guidance: Practical tooling and guidance that will enable teams to realize a faster deployment based on continuous feedback.Core Server 2012 Powershell Script Hyper-v Manager: Free core Server 2012 powershell scripts and batch files that replace the non-existent hyper-v manager, vmconnect and mstsc.Enhanced Deployment Service (EDS): EDS is a web service based utility designed to extend the deployment capabilities of administrators with the Microsoft Deployment Toolkit.ExtendedDialogBox: Libreria DialogBoxJazdy: This project is here only because we wanted to take advantage of a public git server.Mon Examen: This web interface is meant to make examinationsneet: summaryOrchard Multi-Choice Voting: A multiple choice voting Orchard module.Particle Swarm Optimization Solving Quadratic Assignment Problem: This project is submitted for the solving of QAP using PSO algorithms with addition of some modification Porjects: 23123123PPL Power Pack: PPL Power PackProperty Builder: Visual Studio tool for speeding up process of coding class properties getters and setters.RedRuler for Redline: I tried some on-screen rulers, none of them help me measure the UI element quickly based on the Redline. So I decided to created this handy RedRuler tool. Royale Living: Mahindra Royale Community PortalSearch and booking Hotel or Tours: Ð? án nghiên c?u c?a sinh viên tdt theo mô hình mvc 4SystemBuilder.Show: This tool is a helper after you create your project in visual studio to create the respective objects and interface. TalentDesk: new ptojectTcmplex: The Training Center teaches many different kind of course such as English, French, Computer hardware and computer softwareTFS Reporting Guide: Provides guidance and samples to enable TFS users to generate reports based on WIT data.Umbraco AdaptiveImages: Adaptive Images Package for UmbracoVirtualNet - A ILcode interpreter/emulator written in C++/Assembly: VirtualNet is a interpreter/emulator for running .net code in native without having to install the .Net FrameWorkVisual Blocks: Visual Blocks ????IDE ????? ??????? ????? ????/?? Visual Studio and Cloud Based Mobile Device Testing: Practical guidance enabling field to remove blockers to adoption and to use and extend the Perfecto Mobile Cloud Device testing within the context of VS.Windows 8 Time Picker for Windows Phone: A Windows Phone implementation of the Time Picker control found in the Windows 8.1 Alarms app.???? - SmallBasic?: ?????????

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  • A little primer on using TFS with a small team

    - by johndoucette
    The scenario; A small team of 3 developers mostly in maintenance mode with traditional ASP.net, classic ASP, .Net integration services and utilities with the company’s third party packages, and a bunch of java-based Coldfusion web applications all under Visual Source Safe (VSS). They are about to embark on a huge SharePoint 2010 new construction project and wanted to use subversion instead VSS. TFS was a foreign word and smelled of “high cost” and of an “over complicated process”. Since they had no preconditions about the old TFS versions (‘05 & ‘08), it was fun explaining how simple it was to install a TFS server and get the ball rolling, with or without all the heavy stuff one sometimes associates with such a huge and powerful application management lifecycle product. So, how does a small team begin using TFS? 1. Start by using source control and migrate current VSS source trees into TFS. You can take the latest version or migrate the entire version history. It’s up to you on whether you want a clean start or need quick access to all the version notes and history of the bits. 2. Since most shops are mainly in maintenance mode with existing applications, begin using bug workitems for everything. When you receive an issue/bug from your current tracking system, manually enter the workitem in TFS right through Visual Studio. You can automate the integration to the current tracking system later or replace it entirely. Believe me, this thing is powerful and can handle even the largest of help desks. 3. With new construction, begin work with requirements and task workitems and follow the traditional sprint-based development lifecycle. Obviously, some minor training will be needed, but don’t fear, this is very intuitive and MSDN has a ton of lesson based labs and videos. 4. For the java developers, use the new Team Explorer Everywhere 2010 plugin (recently known as Teamprise). There is a seamless interface in Eclipse, but also a good command-line utility for other environments such as Dreamweaver. 5. Wait to fully integrate the whole workitem/project management/testing process until your team is familiar with the integrated workitems for bugs and code. After a while, you will see the team wanting more transparency into the work they are all doing and naturally, everyone will want workitems to help them organize the chaos! 6. Management will be limited in the value of the reports until you have a fully blown implementation of project planning, construction, build, deployment and testing. However, there are some basic “bug rate” reports and current backlog listings that can provide good information. Some notable explanations of TFS; Work Item Tracking and Project Management - A workitem represents the unit of work within the system which enables tracking of all activities produced by a user, whether it is a developer, business user, project manager or tester. The properties of a workitem such as linked changesets (checked-in code), who updated the data and when, the states and reasons for change, are all transitioned to a data warehouse within TFS for reporting purposes. A workitem can be defines as a "bug", "requirement", test case", or a "change request". They drive the work effort by the individual assigned to it and also provide a key role in defining what needs to be done. Workitems are the things the team needs to do to accomplish a goal. Test Case Management - Starting with a workitem known as a "test case", a tester (or developer) can now author and manage test cases within a formal test plan subsystem. Although TFS supports the test case workitem type, there is a new product known as the VS Test Professional 2010 which allows a tester to facilitate manual tests including fast forwarding steps in the process to arrive at the assertion point quickly. This repeatable process provides quick regression tests and can be conducted by the business user to ensure completeness during UAT. In addition, developers no longer can provide a response to a bug with the line "cannot reproduce". With every test run, attachments including the recorded session, captured environment configurations and settings, screen shots, intellitrace (debugging history), and in some cases if the lab manager is being used, a snapshot of the tested environment is available. Version Control - A modern system allowing shared check-in/check-out, excellent merge conflict resolution, Shelvesets (personal check-ins), branching/merging visualization, public workspaces, gated check-ins, security hierarchy capabilities, and changeset/workitem tracking. Knowing what was done with the code by any developer has become much easier to picture and resolve issues. Team Build - Automate the compilation process whether you need it to be whenever a developer checks-in code, periodically such as nightly builds for testers in the morning, or manual builds to be deployed into production. Each build can run through pre-determined tests, perform code analysis to see if the developer conforms to the team standards, and reject the build if either fails. Project Portal & Reporting - Provide management with a dashboard with insight into the project(s). "Where are we" in each step of the way including past iterations and the current burndown rate. Enabling this feature is easy as it seamlessly interfaces with existing SharePoint implementations.

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  • The Great Divorce

    - by BlackRabbitCoder
    I have a confession to make: I've been in an abusive relationship for more than 17 years now.  Yes, I am not ashamed to admit it, but I'm finally doing something about it. I met her in college, she was new and sexy and amazingly fast -- and I'd never met anything like her before.  Her style and her power captivated me and I couldn't wait to learn more about her.  I took a chance on her, and though I learned a lot from her -- and will always be grateful for my time with her -- I think it's time to move on. Her name was C++, and she so outshone my previous love, C, that any thoughts of going back evaporated in the heat of this new romance.  She promised me she'd be gentle and not hurt me the way C did.  She promised me she'd clean-up after herself better than C did.  She promised me she'd be less enigmatic and easier to keep happy than C was.  But I was deceived.  Oh sure, as far as truth goes, it wasn't a complete lie.  To some extent she was more fun, more powerful, safer, and easier to maintain.  But it just wasn't good enough -- or at least it's not good enough now. I loved C++, some part of me still does, it's my first-love of programming languages and I recognize its raw power, its blazing speed, and its improvements over its predecessor.  But with today's hardware, at speeds we could only dream to conceive of twenty years ago, that need for speed -- at the cost of all else -- has died, and that has left my feelings for C++ moribund. If I ever need to write an operating system or a device driver, then I might need that speed.  But 99% of the time I don't.  I'm a business-type programmer and chances are 90% of you are too, and even the ones who need speed at all costs may be surprised by how much you sacrifice for that.   That's not to say that I don't want my software to perform, and it's not to say that in the business world we don't care about speed or that our job is somehow less difficult or technical.  There's many times we write programs to handle millions of real-time updates or handle thousands of financial transactions or tracking trading algorithms where every second counts.  But if I choose to write my code in C++ purely for speed chances are I'll never notice the speed increase -- and equally true chances are it will be far more prone to crash and far less easy to maintain.  Nearly without fail, it's the macro-optimizations you need, not the micro-optimizations.  If I choose to write a O(n2) algorithm when I could have used a O(n) algorithm -- that can kill me.  If I choose to go to the database to load a piece of unchanging data every time instead of caching it on first load -- that too can kill me.  And if I cross the network multiple times for pieces of data instead of getting it all at once -- yes that can also kill me.  But choosing an overly powerful and dangerous mid-level language to squeeze out every last drop of performance will realistically not make stock orders process any faster, and more likely than not open up the system to more risk of crashes and resource leaks. And that's when my love for C++ began to die.  When I noticed that I didn't need that speed anymore.  That that speed was really kind of a lie.  Sure, I can be super efficient and pack bits in a byte instead of using separate boolean values.  Sure, I can use an unsigned char instead of an int.  But in the grand scheme of things it doesn't matter as much as you think it does.  The key is maintainability, and that's where C++ failed me.  I like to tell the other developers I work with that there's two levels of correctness in coding: Is it immediately correct? Will it stay correct? That is, you can hack together any piece of code and make it correct to satisfy a task at hand, but if a new developer can't come in tomorrow and make a fairly significant change to it without jeopardizing that correctness, it won't stay correct. Some people laugh at me when I say I now prefer maintainability over speed.  But that is exactly the point.  If you focus solely on speed you tend to produce code that is much harder to maintain over the long hall, and that's a load of technical debt most shops can't afford to carry and end up completely scrapping code before it's time.  When good code is written well for maintainability, though, it can be correct both now and in the future. And you know the best part is?  My new love is nearly as fast as C++, and in some cases even faster -- and better than that, I know C# will treat me right.  Her creators have poured hundreds of thousands of hours of time into making her the sexy beast she is today.  They made her easy to understand and not an enigmatic mess.  They made her consistent and not moody and amorphous.  And they made her perform as fast as I care to go by optimizing her both at compile time and a run-time. Her code is so elegant and easy on the eyes that I'm not worried where she will run to or what she'll pull behind my back.  She is powerful enough to handle all my tasks, fast enough to execute them with blazing speed, maintainable enough so that I can rely on even fairly new peers to modify my work, and rich enough to allow me to satisfy any need.  C# doesn't ask me to clean up her messes!  She cleans up after herself and she tries to make my life easier for me by taking on most of those optimization tasks C++ asked me to take upon myself.  Now, there are many of you who would say that I am the cause of my own grief, that it was my fault C++ didn't behave because I didn't pay enough attention to her.  That I alone caused the pain she inflicted on me.  And to some extent, you have a point.  But she was so high maintenance, requiring me to know every twist and turn of her vast and unrestrained power that any wrong term or bout of forgetfulness was met with painful reminders that she wasn't going to watch my back when I made a mistake.  But C#, she loves me when I'm good, and she loves me when I'm bad, and together we make beautiful code that is both fast and safe. So that's why I'm leaving C++ behind.  She says she's changing for me, but I have no interest in what C++0x may bring.  Oh, I'll still keep in touch, and maybe I'll see her now and again when she brings her problems to my door and asks for some attention -- for I always have a soft spot for her, you see.  But she's out of my house now.  I have three kids and a dog and a cat, and all require me to clean up after them, why should I have to clean up after my programming language as well?

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  • Master Data

    - by david.butler(at)oracle.com
    Let's take a deeper look at what we mean when we talk about 'Master' data. In its most general sense, master data is data that exists in more than one operational application. These are the applications that automate business processes. These applications require significant amounts of data to function correctly.  This includes data about the objects that are involved in transactions, as well as the transaction data itself.  For example, when a customer buys a product, the transaction is managed by a sales application.  The objects of the transaction are the Customer and the Product.  The transactional data is the time, place, price, discount, payment methods, etc. used at the point of sale. Many thousands of transactional data attributes are needed within the application. These important data elements are local to the applications and have no bearing on other applications. Harmonization and synchronization across applications is not necessary. The Customer and Product objects of the transaction also have a large number of attributes. Customer for example, includes hierarchies, hierarchical and matrixed relationships, contacts, classifications, preferences, accounts, identifiers, profiles, and addresses galore for 'ship to', 'mail to'; 'service at'; etc. Dozens of attributes exist for individuals, hundreds for organizations, and thousands for products. This data has meaning beyond any particular application. It exists in many applications and drives the vital cross application enterprise business processes. These are the processes that define and differentiate the organization. At every decision point, information about the objects of the process determines the direction of the process flow. This is the nature of the data that exists in more than one application, and this is why we call it 'master data'. Let me elaborate. Parties Oracle has developed a party schema to model all participants in your daily business operations. It models people, organizations, groups, customers, contacts, employees, and suppliers. It models their accounts, locations, classifications, and preferences.  And most importantly, it models the vast array of hierarchical and matrixed relationships that exist between all the participants in your real world operations.  The model logically separates people and organizations from their relationships and accounts.  This separation creates flexibility unmatched in the industry and accounts for the fact that the Oracle schema for Customers, Suppliers, and Accounts is a true superset of the wide variety of commercial and homegrown customer models in existence. Sites Sites are places where business is conducted. They can be addresses, clusters such as retail malls, locations within a cluster, floors within a building, places where meters are located, rooms on floors, etc.  Fully understanding all attributes of a site is key to many business processes. Attributes such as 'noise abatement policy' at a point of delivery, or the size of an oven in a business kitchen drive day-to-day activities such as delivery schedules or food promotions. Typically this kind of data is siloed in departments and scattered across applications and spreadsheets.  This leads to conflicting information and poor operational efficiencies. Oracle's Global Single Schema can hold all site attributes in one place and enables a single version of authoritative site information across the enterprise. Products and Services The Oracle Global Single Schema also includes a number of entities that define the products and services a company creates and offers for sale. Key entities include Items organized into Catalogs and Price Lists. The Catalog structures provide for the ability to capture different views of a product such as engineering, manufacturing, and service which are based on a unified product model. As a result, designers, manufacturing engineers, purchasers and partners can work simultaneously on a common product definition. The Catalog schema allows for unlimited attributes, combines them into meaningful groups, and maps them to catalog categories to track these different types of information. The model also maps an unlimited number of functional structures for each item. For example, multiple Bills of Material (BOMs) can be constructed representing requirements BOM, features BOM, and packaging BOM for an item. The Catalog model also supports hierarchical information about each item and all standard Global Data Synchronization attributes. Business Processes Utilizing Linked Data Entities Each business entity codified into a centralized master data environment significantly improves the efficiency of the automated business processes that use the consolidated data.  When all the key business entities used by an organization's process are so consolidated, the advantages are multiplied.  The primary reason for business process breakdowns (i.e. data errors across application boundaries) is eliminated. All processes are positively impacted and business process automation is itself automated.  I like to use the "Call to Resolution" business process as an example to help illustrate this important point. It involves call center applications, service applications, RMA applications, transportation applications, inventory applications, etc. Customer, Site, Product and Supplier master data must all be correct and consistent across these applications.  What's more, the data relationships between customer and product, and product and suppliers must be right. This is the minimum quality needed to insure the business process flows without error. But that is not the end of the story. Critical master data attributes such as customer loyalty, profitability, credit worthiness, and propensity to buy can optimize the call center point of contact component of the process. Critical product information such as alternative parts or equivalent products can optimize the resolution selected by the process. A comprehensive understanding of the 'service at' location can help insure multiple trips are avoided in the process. Full supplier information on reliability, delivery delays, and potential alternates can prevent supplier exceptions and play a significant role in optimizing the process.  In other words, these master data attributes enable the optimization of the "Call to Resolution" enterprise business process. Master data supports and guides business process flows. Thus the phrase 'Master Data' is indeed appropriate. MDM is the software that houses, manages, and governs the master data that resides in all applications and controls the enterprise business processes. A complete master data solution takes a data model that holds fully attributed master data entities and their inter-relationships. Oracle has this model. Oracle, with its deep understanding of application data is the logical choice for managing all your master data within the enterprise whether or not your organization actually runs any Oracle Applications.

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  • Must-see sessions at TCUK11

    - by Roger Hart
    Technical Communication UK is probably the best professional conference I've been to. Last year, I spoke there on content strategy, and this year I'll be co-hosting a workshop on embedded user assistance. Obviously, I'd love people to come along to that; but there are some other sessions I'd like to flag up for anybody thinking of attending. Tuesday 20th Sept - workshops This will be my first year at the pre-conference workshop day, and I'm massively glad that our workshop hasn't been scheduled along-side the one I'm really interested in. My picks: It looks like you're embedding user assistance. Would you like help? My colleague Dom and I are presenting this one. It's our paen to Clippy, to the brilliant idea he represented, and the crashing failure he was. Less precociously, we'll be teaching embedded user assistance, Red Gate style. Statistics without maths: acquiring, visualising and interpreting your data This doesn't need to do anything apart from what it says on the tin in order to be gold dust. But given the speakers, I suspect it will. A data-informed approach is a great asset to technical communications, so I'd recommend this session to anybody event faintly interested. The speakers here have a great track record of giving practical, accessible introductions to big topics. Go along. Wednesday 21st Sept - day one There's no real need to recommend the keynote for a conference, but I will just point out that this year it's Google's Patrick Hofmann. That's cool. You know what else is cool: Focus on the user, the rest follows An intro to modelling customer experience. This is a really exciting area for tech comms, and potentially touches on one of my personal hobby-horses: the convergence of technical communication and marketing. It's all part of delivering customer experience, and knowing what your users need lets you help them, sell to them, and delight them. Content strategy year 1: a tale from the trenches It's often been observed that content strategy is great at banging its own drum, but not so hot on compelling case studies. Here you go, folks. This is the presentation I'm most excited about so far. On a mission to communicate! Skype help their users communicate, but how do they communicate with them? I guess we'll find out. Then there's the stuff that I'm not too excited by, but you might just be. The standards geeks and agile freaks can get together in a presentation on the forthcoming ISO standards for agile authoring. Plus, there's a session on VBA for tech comms. I do have one gripe about day 1. The other big UK tech comms conference, UA Europe, have - I think - netted the more interesting presentation from Ellis Pratt. While I have no doubt that his TCUK case study on producing risk assessments will be useful, I'd far rather go to his talk on game theory for tech comms. Hopefully UA Europe will record it. Thursday 22nd Sept - day two Day two has a couple of slots yet to be confirmed. The rumour is that one of them will be the brilliant "Questions and rants" session from last year. I hope so. It's not ranting, but I'll be going to: RTFMobile: beyond stating the obvious Ultan O'Broin is an engaging speaker with a lot to say, and mobile is one of the most interesting and challenging new areas for tech comms. Even if this weren't a research-based presentation from a company with buckets of technology experience, I'd be going. It is, and you should too. Pattern recognition for technical communicators One of the best things about TCUK is the tendency to include sessions that tackle the theoretical and bring them towards the practical. Kai and Chris delivered cracking and well-received talks last year, and I'm looking forward to seeing what they've got for us on some of the conceptual underpinning of technical communication. Developing an interactive non-text learning programme Annoyingly, this clashes with Pattern Recognition, so I hope at least one of the streams is recorded again this year. The idea of communicating complex information without words us fascinating and this sounds like a great example of this year's third stream: "anything but text". For the localization and DITA crowds, there's rich pickings on day two, though I'm not sure how many of those sessions I'm interested in. In the 13:00 - 13:40 slot, there's an interesting clash between Linda Urban on re-use and training content, and a piece on minimalism I'm sorely tempted by. That's my pick of #TCUK11. I'll be doing a round-up blog after the event, and probably talking a bit more about it beforehand. I'm also reliably assured that there are still plenty of tickets.

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  • Some non-generic collections

    - by Simon Cooper
    Although the collections classes introduced in .NET 2, 3.5 and 4 cover most scenarios, there are still some .NET 1 collections that don't have generic counterparts. In this post, I'll be examining what they do, why you might use them, and some things you'll need to bear in mind when doing so. BitArray System.Collections.BitArray is conceptually the same as a List<bool>, but whereas List<bool> stores each boolean in a single byte (as that's what the backing bool[] does), BitArray uses a single bit to store each value, and uses various bitmasks to access each bit individually. This means that BitArray is eight times smaller than a List<bool>. Furthermore, BitArray has some useful functions for bitmasks, like And, Xor and Not, and it's not limited to 32 or 64 bits; a BitArray can hold as many bits as you need. However, it's not all roses and kittens. There are some fundamental limitations you have to bear in mind when using BitArray: It's a non-generic collection. The enumerator returns object (a boxed boolean), rather than an unboxed bool. This means that if you do this: foreach (bool b in bitArray) { ... } Every single boolean value will be boxed, then unboxed. And if you do this: foreach (var b in bitArray) { ... } you'll have to manually unbox b on every iteration, as it'll come out of the enumerator an object. Instead, you should manually iterate over the collection using a for loop: for (int i=0; i<bitArray.Length; i++) { bool b = bitArray[i]; ... } Following on from that, if you want to use BitArray in the context of an IEnumerable<bool>, ICollection<bool> or IList<bool>, you'll need to write a wrapper class, or use the Enumerable.Cast<bool> extension method (although Cast would box and unbox every value you get out of it). There is no Add or Remove method. You specify the number of bits you need in the constructor, and that's what you get. You can change the length yourself using the Length property setter though. It doesn't implement IList. Although not really important if you're writing a generic wrapper around it, it is something to bear in mind if you're using it with pre-generic code. However, if you use BitArray carefully, it can provide significant gains over a List<bool> for functionality and efficiency of space. OrderedDictionary System.Collections.Specialized.OrderedDictionary does exactly what you would expect - it's an IDictionary that maintains items in the order they are added. It does this by storing key/value pairs in a Hashtable (to get O(1) key lookup) and an ArrayList (to maintain the order). You can access values by key or index, and insert or remove items at a particular index. The enumerator returns items in index order. However, the Keys and Values properties return ICollection, not IList, as you might expect; CopyTo doesn't maintain the same ordering, as it copies from the backing Hashtable, not ArrayList; and any operations that insert or remove items from the middle of the collection are O(n), just like a normal list. In short; don't use this class. If you need some sort of ordered dictionary, it would be better to write your own generic dictionary combining a Dictionary<TKey, TValue> and List<KeyValuePair<TKey, TValue>> or List<TKey> for your specific situation. ListDictionary and HybridDictionary To look at why you might want to use ListDictionary or HybridDictionary, we need to examine the performance of these dictionaries compared to Hashtable and Dictionary<object, object>. For this test, I added n items to each collection, then randomly accessed n/2 items: So, what's going on here? Well, ListDictionary is implemented as a linked list of key/value pairs; all operations on the dictionary require an O(n) search through the list. However, for small n, the constant factor that big-o notation doesn't measure is much lower than the hashing overhead of Hashtable or Dictionary. HybridDictionary combines a Hashtable and ListDictionary; for small n, it uses a backing ListDictionary, but switches to a Hashtable when it gets to 9 items (you can see the point it switches from a ListDictionary to Hashtable in the graph). Apart from that, it's got very similar performance to Hashtable. So why would you want to use either of these? In short, you wouldn't. Any gain in performance by using ListDictionary over Dictionary<TKey, TValue> would be offset by the generic dictionary not having to cast or box the items you store, something the graphs above don't measure. Only if the performance of the dictionary is vital, the dictionary will hold less than 30 items, and you don't need type safety, would you use ListDictionary over the generic Dictionary. And even then, there's probably more useful performance gains you can make elsewhere.

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  • Auto-Configuring SSIS Packages

    - by Davide Mauri
    SSIS Package Configurations are very useful to make packages flexible so that you can change objects properties at run-time and thus make the package configurable without having to open and edit it. In a complex scenario where you have dozen of packages (even in in the smallest BI project I worked on I had 50 packages), each package may have its own configuration needs. This means that each time you have to run the package you have to pass the correct Package Configuration. I usually use XML configuration files and I also force everyone that works with me to make sure that an object that is used in several packages has the same name in all package where it is used, in order to simplify configurations usage. Connection Managers are a good example of one of those objects. For example, all the packages that needs to access to the Data Warehouse database must have a Connection Manager named DWH. Basically we define a set of “global” objects so that we can have a configuration file for them, so that it can be used by all packages. If a package as some specific configuration needs, we create a specific – or “local” – XML configuration file or we set the value that needs to be configured at runtime using DTLoggedExec’s Package Parameters: http://dtloggedexec.davidemauri.it/Package%20Parameters.ashx Now, how we can improve this even more? I’d like to have a package that, when it’s run, automatically goes “somewhere” and search for global or local configuration, loads it and applies it to itself. That’s the basic idea of Auto-Configuring Packages. The “somewhere” is a SQL Server table, defined in this way In this table you’ll put the values that you want to be used at runtime by your package: The ConfigurationFilter column specify to which package that configuration line has to be applied. A package will use that line only if the value specified in the ConfigurationFilter column is equal to its name. In the above sample. only the package named “simple-package” will use the line number two. There is an exception here: the $$Global value indicate a configuration row that has to be applied to any package. With this simple behavior it’s possible to replicate the “global” and the “local” configuration approach I’ve described before. The ConfigurationValue contains the value you want to be applied at runtime and the PackagePath contains the object to which that value will be applied. The ConfiguredValueType column defined the data type of the value and the Checksum column is contains a calculated value that is simply the hash value of ConfigurationFilter plus PackagePath so that it can be used as a Primary Key to guarantee uniqueness of configuration rows. As you may have noticed the table is very similar to the table originally used by SSIS in order to put DTS Configuration into SQL Server tables: SQL Server SSIS Configuration Type: http://msdn.microsoft.com/en-us/library/ms141682.aspx Now, how it works? It’s very easy: you just have to call DTLoggedExec with the /AC option: DTLoggedExec.exe /FILE:”mypackage.dtsx” /AC:"localhost;ssis_auto_configuration;ssiscfg.configuration" the AC option expects a string with the following format: <database_server>;<database_name>;<table_name>; only Windows Authentication is supported. When DTLoggedExec finds an Auto-Configuration request, it injects a new connection manager in the loaded package. The injected connection manager is named $$DTLoggedExec_AutoConfigure and is used by the two SQL Server DTS Configuration ($$DTLoggedExec_Global and $$DTLoggedExec_Local) also injected by DTLoggedExec, used to load “local” and “global” configuration. Now, you may start to wonder why this approach cannot be used without having all this stuff going around, but just passing to a package always two XML DTS Configuration files, (to have to “local” and the “global” configurations) doing something like this: DTLoggedExec.exe /FILE:”mypackage.dtsx” /CONF:”global.dtsConfig” /CONF:”mypackage.dtsConfig” The problem is that this approach doesn’t work if you have, in one of the two configuration file, a value that has to be applied to an object that doesn’t exists in the loaded package. This situation will raise an error that will halt package execution. To solve this problem, you may want to create a configuration file for each package. Unfortunately this will make deployment and management harder, since you’ll have to deal with a great number of configuration files. The Auto-Configuration approach solve all these problems at once! We’re using it in a project where we have hundreds of packages and I can tell you that deployment of packages and their configuration for the pre-production and production environment has never been so easy! To use the Auto-Configuration option you have to download the latest DTLoggedExec release: http://dtloggedexec.codeplex.com/releases/view/62218 Feedback, as usual, are very welcome!

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  • Java EE and GlassFish Server Roadmap Update

    - by John Clingan
    2013 has been a stellar year for both the Java EE and GlassFish Server communities. On June 12, Oracle and its partners announced the release of Java EE 7, which delivers on three major themes – HTML5, developer productivity, and meeting enterprise demands. The online event attracted over 10,000 views in the first two days! During the online event, Oracle also announced the availability of GlassFish Server Open Source Edition 4, the world's first Java EE 7 compatible application server. The primary role of GlassFish Server Open Source Edition has been, and continues to be, driving adoption of the latest release of the Java Platform, Enterprise Edition. Oracle also announced the Java EE 7 SDK, which bundles GlassFish Server Open Source Edition 4, as a Java EE 7 learning aid. Last, Oracle publicly announced the Java EE 7 reference implementation based on GlassFish Server Open Source Edition 4. Java EE is a popular platform, as evidenced by the 20+ Java EE 6 compatible implementations available to choose from. After the launch of Java EE 7 and GlassFish Server Open Source Edition 4, we began planning the Java EE 8 roadmap, which was covered during the JavaOne Strategy Keynote. To summarize, there is a lot of interest in improving on HTML5 support, Cloud, and investigating NoSQL support. We received a lot of great feedback from the community and customers on what they would like to see in Java EE 8. As we approached JavaOne 2013, we started planning the GlassFish Server roadmap. What we announced at JavaOne was that GlassFish Server Open Source Edition 4.1 is scheduled for 2014. Here is an update to that roadmap. GlassFish Server Open Source Edition 4.1 is scheduled for 2014 We are planning updates as needed to GlassFish Server Open Source Edition, which is commercially unsupported As we head towards Java EE 8: The trunk will eventually transition to GlassFish Server Open Source Edition 5 as a Java EE 8 implementation The Java EE 8 Reference Implementation will be derived from GlassFish Server Open Source Edition 5. This replicates what has been done in past Java EE and GlassFish Server releases. Oracle will no longer release future major releases of Oracle GlassFish Server with commercial support – specifically Oracle GlassFish Server 4.x with commercial Java EE 7 support will not be released. Commercial Java EE 7 support will be provided from WebLogic Server. Oracle GlassFish Server will not be releasing a 4.x commercial version Expanding on that last bullet, new and existing Oracle GlassFish Server 2.1.x and 3.1.x commercial customers will continue to be supported according to the Oracle Lifetime Support Policy. Oracle recommends that existing commercial Oracle GlassFish Server customers begin planning to move to Oracle WebLogic Server, which is a natural technical and license migration path forward: Applications developed to Java EE standards can be deployed to both GlassFish Server and Oracle WebLogic Server GlassFish Server and Oracle WebLogic Server have implementation-specific deployment descriptor interoperability (here and here). GlassFish Server 3.x and Oracle WebLogic Server share quite a bit of code, so there are quite a bit of configuration and (extended) feature similarities. Shared code includes JPA, JAX-RS, WebSockets (pre JSR 356 in both cases), CDI, Bean Validation, JAX-WS, JAXB, and WS-AT. Both Oracle GlassFish Server 3.x and Oracle WebLogic Server 12c support Oracle Access Manager, Oracle Coherence, Oracle Directory Server, Oracle Virtual Directory, Oracle Database, Oracle Enterprise Manager and are entitled to support for the underlying Oracle JDK. To summarize, Oracle is committed to the future of Java EE.  Java EE 7 has been released and planning for Java EE 8 has begun. GlassFish Server Open Source Edition continues to be the strategic foundation for Java EE reference implementation going forward. And for developers, updates will be delivered as needed to continue to deliver a great developer experience for GlassFish Server Open Source Edition. We are planning for GlassFish Server Open Source Edition 5 as the foundation for the Java EE 8 reference implementation, as well as bundling GlassFish Server Open Source Edition 5 in a Java EE 8 SDK, which is the most popular distribution of GlassFish. This will allow GlassFish releases to be more focused on the Java EE platform and community-driven requirements. We continue to encourage community contributions, bug reports, participation on the GlassFish forum, etc. Going forward, Oracle WebLogic Server will be the single strategic commercially supported application server from Oracle. Disclaimer: The preceding is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract.It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Oracle’s products remains at the sole discretion of Oracle.

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  • The Arab HEUG is now a reality, and other random thoughts

    - by user9147039
    I just returned from Doha, Qatar where the first of its kind HEUG (Higher Education User Group) meeting for institutions in the Middle East and North Africa was held at Qatar University and jointly hosted by Damman University from Saudi Arabia. Over 80 delegates attended including representation from education institutions in Oman, Saudi Arabia, Lebanon, and Qatar. There are many other regional HEUG organizations in place (in Australia/New Zealand, APAC, EMEA, as well as smaller regional HEUG’s in the Netherlands, South Africa, and in regions of the US), but it was truly an accomplishment to see this Middle East/North Africa group organize and launch their chapter with a meeting of this quality. To be known as the Arab HEUG going forward, I am excited about the prospects for sharing between the institutions and for the growth of Oracle solutions in the region. In particular the hosts for the event (Qatar University) did a masterful job with logistics and organization, and the quality of the event was a testament to their capabilities. Among the more interesting and enlightening presentations I attended were one from Dammam University on the lessons learned from their implementation of Campus Solutions and transition off of Banner, as well as the use by Qatar University E-business Suite for grants management (both pre-and post-award). The most notable fact coming from this latter presentation was the fit (89%) of e-Business Suite Grants to the university’s requirements. In a few weeks time we will be convening the 5th meeting of the Oracle Education & Research Industry Strategy Council in Redwood Shores (5th since my advent into my current role). The main topics of discussion will be around our Higher Education Applications Strategy for the future (including cloud approaches to ERP (HCM, Finance, and Student Information Systems), how some cases studies on the benefits of leveraging delivered functionality and extensibility in the software (versus customization). On the second day of the event we will turn our attention to Oracle in Research and also budgeting and planning in higher education. Both of these sessions will include significant participation from council members in the form of panel discussions. Our EVP’s for Systems (John Fowler) and for Global Cloud Services and North America application sales (Joanne Olson) will join us for the discussion. I recently read a couple of articles that were surprising to me. The first was from Inside Higher Ed on October 15 entitled, “As colleges prepare for major software upgrades, Kuali tries to woo them from corporate vendors.” It continues to disappointment that after all this time we are still debating whether it is better to build enterprise software through open or community source initiatives when fully functional, flexible, supported, and widely adopted options exist in the marketplace. Over a decade or more ago when these solutions were relatively immature and there was a great deal of turnover in the market I could appreciate the initiatives like Kuali. But let’s not kid ourselves – the real objective of this movement is to counter a perceived predatory commercial software industry. Again, when commercial solutions are deployed as written without significant customization, and standard business processes are adopted, the cost of these solutions (relative to the value delivered) is quite low, and certain much lower than the massive investment (and risk) in in-house developers to support a bespoke community source system. In this era of cost pressures in education and the need to refocus resources on teaching, learning, and research, I believe it’s bordering on irresponsible to continue to pursue open-source ERP. Many of the adopter’s total costs are staggering and have little to show for their efforts and expended resources. The second article was recently in the Chronicle of Higher Education and was entitled “’Big Data’ Is Bunk, Obama Campaign’s Tech Guru Tells University Leaders.” This one was so outrageous I almost don’t want to legitimize it by referencing it here. In the article the writer relays statements made by Harper Reed, President Obama’s former CTO for his 2012 re-election campaign, that big data solutions in education have no relevance and are akin to snake oil. He goes on to state that while he’s a fan of data-driven decision making in education, most of the necessary analysis can be accomplished in Excel spreadsheets. Yeah… right. This is exactly what ails education (higher education in particular). Dozens of shadow and siloed systems running on spreadsheets with limited-to-no enterprise wide initiatives to harness the data-rich environment that is a higher ed institution and transform the data into useable information. I’ll grant Mr. Reed that “Big Data” is overused and hackneyed, but imperatives like improving student success in higher education are classic big data problems that data-mining and predictive analytics can address. Further, higher ed need to be producing a massive amount more data scientists and analysts than are currently in the pipeline, to further this discipline and application of these tools to many many other problems across multiple industries.

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  • Override an IOCTL Handler in PQOAL

    - by Kate Moss' Big Fan
    When porting or creating a BSP to a new platform, we often need to make change to OEMIoControl or HAL IOCTL handler for more specific. Since Microsoft introduced PQOAL in CE 5.0 and more and more BSP today leverages PQOAL to simplify the OAL, we no longer define the OEMIoControl directly. It is somehow analogous to migrate from pure Windows SDK to MFC; people starts to define those MFC handlers and forgot the WinMain and the big message loop. If you ever take a look at the interface between OAL and Kernel, PUBLIC\COMMON\OAK\INC\oemglobal.h, the pfnOEMIoctl is still there just as the entry point of Windows Program is WinMain since day one. (For those may argue about pfnOEMIoctl is not OEMIoControl, I will encourage you to dig into PRIVATE\WINCEOS\COREOS\NK\OEMMAIN\oemglobal.c which initialized pfnOEMIoctl to OEMIoControl. The interface is just to split OAL and Kernel which no longer linked to one executable file in CE 6, all of the function signature is still identical) So let's trace into PQOAL to realize how it implements OEMIoControl and how can we override an IOCTL handler we interest. First thing to know is the entry point (just as finding the WinMain in MFC), OEMIoControl is defined in PLATFORM\COMMON\SRC\COMMON\IOCTL\ioctl.c. Basically, it does nothing special but scan a pre-defined IOCTL table, g_oalIoCtlTable, and then execute the handler. (The highlight part) Other than that is just for error handling and the use of critical section to serialize the function. BOOL OEMIoControl(     DWORD code, VOID *pInBuffer, DWORD inSize, VOID *pOutBuffer, DWORD outSize,     DWORD *pOutSize ) {     BOOL rc = FALSE;     UINT32 i; ...     // Search the IOCTL table for the requested code.     for (i = 0; g_oalIoCtlTable[i].pfnHandler != NULL; i++) {         if (g_oalIoCtlTable[i].code == code) break;     }     // Indicate unsupported code     if (g_oalIoCtlTable[i].pfnHandler == NULL) {         NKSetLastError(ERROR_NOT_SUPPORTED);         OALMSG(OAL_IOCTL, (             L"OEMIoControl: Unsupported Code 0x%x - device 0x%04x func %d\r\n",             code, code >> 16, (code >> 2)&0x0FFF         ));         goto cleanUp;     }            // Take critical section if required (after postinit & no flag)     if (         g_ioctlState.postInit &&         (g_oalIoCtlTable[i].flags & OAL_IOCTL_FLAG_NOCS) == 0     ) {         // Take critical section                    EnterCriticalSection(&g_ioctlState.cs);     }     // Execute the handler     rc = g_oalIoCtlTable[i].pfnHandler(         code, pInBuffer, inSize, pOutBuffer, outSize, pOutSize     );     // Release critical section if it was taken above     if (         g_ioctlState.postInit &&         (g_oalIoCtlTable[i].flags & OAL_IOCTL_FLAG_NOCS) == 0     ) {         // Release critical section                    LeaveCriticalSection(&g_ioctlState.cs);     } cleanUp:     OALMSG(OAL_IOCTL&&OAL_FUNC, (L"-OEMIoControl(rc = %d)\r\n", rc ));     return rc; }   Where is the g_oalIoCtlTable? It is defined in your BSP. Let's use DeviceEmulator BSP as an example. The PLATFORM\DEVICEEMULATOR\SRC\OAL\OALLIB\ioctl.c defines the table as const OAL_IOCTL_HANDLER g_oalIoCtlTable[] = { #include "ioctl_tab.h" }; And that leads to PLATFORM\DEVICEEMULATOR\SRC\INC\ioctl_tab.h which defined some of IOCTL handler but others are defined in oal_ioctl_tab.h which is under PLATFORM\COMMON\SRC\INC\. Finally, we got the full table body! (Just like tracing MFC, always jumping back and forth). The format of table is very straight forward, IOCTL code, Flags and Handler Function // IOCTL CODE,                          Flags   Handler Function //------------------------------------------------------------------------------ { IOCTL_HAL_INITREGISTRY,                   0,  OALIoCtlHalInitRegistry     }, { IOCTL_HAL_INIT_RTC,                       0,  OALIoCtlHalInitRTC          }, { IOCTL_HAL_REBOOT,                         0,  OALIoCtlHalReboot           }, The PQOAL scans through the table until it find a matched IOCTL code, then invokes the handler function. Since it scans the table from the top which means if we define TWO handler with same IOCTL code, the first one is always invoked with no exception. Now back to the PLATFORM\DEVICEEMULATOR\SRC\INC\ioctl_tab.h, with the following table { IOCTL_HAL_INITREGISTRY,                   0,  OALIoCtlDeviceEmulatorHalInitRegistry     }, ... #include <oal_ioctl_tab.h> Note the IOCTL_HAL_INITREGISTRY handler are defined in both BSP's local ioctl_tab.h and the common oal_ioctl_tab.h, but due to BSP's local handler comes before "#include <oal_ioctl_tab.h>" so we know the OALIoCtlDeviceEmulatorHalInitRegistry always get called. In this example, the DeviceEmulator BSP overrides the IOCTL_HAL_INITREGISTRY handler from OALIoCtlHalInitRegistry to OALIoCtlDeviceEmulatorHalInitRegistry by manipulating the g_oalIoCtlTable table. (In some point of view, it is similar to message map in MFC) Please be aware, when you override an IOCTL handler in PQOAL, you may want to clone the original implementation to your BSP and change to meet your need. It is recommended and save you the redundant works but remember to rename the handler function (Just like the DeviceEmulator it changes the name of OALIoCtlHalInitRegistry to OALIoCtlDeviceEmulatorHalInitRegistry). If you don't change the name, linker may not be happy (due to name conflict) and the more important is by using different handler name, you could always redirect the handler back to original one. (It is like the concept of OOP that calling a function in base class; still not so clear? I am goinf to show you soon!) The OALIoCtlDeviceEmulatorHalInitRegistry setups DeviceEmulator specific registry settings and in the end, if everything goes well, it calls the OALIoCtlHalInitRegistry (PLATFORM\COMMON\SRC\COMMON\IOCTL\reginit.c) to do the rest.     if(fOk) {         fOk = OALIoCtlHalInitRegistry(code, pInpBuffer, inpSize, pOutBuffer,             outSize, pOutSize);     } Now you got the picture, whenever you want to override an IOCTL hadnler that is implemented in PQOAL just Clone the handler function to your BSP as a template. Simple name change for the handler function, and a name change in the IOCTL table header file that maps the IOCTL with the function Implement your IOCTL handler and whenever you need to redirect it back just calling the original handler function. It is the standard way of implementing a custom IOCTL and most Microsoft developers prefer. The mapping of IOCTL routine to IOCTL code is platform specific - you control the header file that does that mapping.

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  • External File Upload Optimizations for Windows Azure

    - by rgillen
    [Cross posted from here: http://rob.gillenfamily.net/post/External-File-Upload-Optimizations-for-Windows-Azure.aspx] I’m wrapping up a bit of the work we’ve been doing on data movement optimizations for cloud computing and the latest set of data yielded some interesting points I thought I’d share. The work done here is not really rocket science but may, in some ways, be slightly counter-intuitive and therefore seemed worthy of posting. Summary: for those who don’t like to read detailed posts or don’t have time, the synopsis is that if you are uploading data to Azure, block your data (even down to 1MB) and upload in parallel. Set your block size based on your source file size, but if you must choose a fixed value, use 1MB. Following the above will result in significant performance gains… upwards of 10x-24x and a reduction in overall file transfer time of upwards of 90% (eg, uploading a 1GB file averaged 46.37 minutes prior to optimizations and averaged 1.86 minutes afterwards). Detail: For those of you who want more detail, or think that the claims at the end of the preceding paragraph are over-reaching, what follows is information and code supporting these claims. As the title would indicate, these tests were run from our research facility pointing to the Azure cloud (specifically US North Central as it is physically closest to us) and do not represent intra-cloud results… we have performed intra-cloud tests and the overall results are similar in notion but the data rates are significantly different as well as the tipping points for the various block sizes… this will be detailed separately). We started by building a very simple console application that would loop through a directory and upload each file to Azure storage. This application used the shipping storage client library from the 1.1 version of the azure tools. The only real variation from the client library is that we added code to collect and record the duration (in ms) and size (in bytes) for each file transferred. The code is available here. We then created a directory that had a collection of files for the following sizes: 2KB, 32KB, 64KB, 128KB, 512KB, 1MB, 5MB, 10MB, 25MB, 50MB, 100MB, 250MB, 500MB, 750MB, and 1GB (50 files for each size listed). These files contained randomly-generated binary data and do not benefit from compression (a separate discussion topic). Our file generation tool is available here. The baseline was established by running the application described above against the directory containing all of the data files. This application uploads the files in a random order so as to avoid transferring all of the files of a given size sequentially and thereby spreading the affects of periodic Internet delays across the collection of results.  We then ran some scripts to split the resulting data and generate some reports. The raw data collected for our non-optimized tests is available via the links in the Related Resources section at the bottom of this post. For each file size, we calculated the average upload time (and standard deviation) and the average transfer rate (and standard deviation). As you likely are aware, transferring data across the Internet is susceptible to many transient delays which can cause anomalies in the resulting data. It is for this reason that we randomized the order of source file processing as well as executed the tests 50x for each file size. We expect that these steps will yield a sufficiently balanced set of results. Once the baseline was collected and analyzed, we updated the test harness application with some methods to split the source file into user-defined block sizes and then to upload those blocks in parallel (using the PutBlock() method of Azure storage). The parallelization was handled by simply relying on the Parallel Extensions to .NET to provide a Parallel.For loop (see linked source for specific implementation details in Program.cs, line 173 and following… less than 100 lines total). Once all of the blocks were uploaded, we called PutBlockList() to assemble/commit the file in Azure storage. For each block transferred, the MD5 was calculated and sent ensuring that the bits that arrived matched was was intended. The timer for the blocked/parallelized transfer method wraps the entire process (source file splitting, block transfer, MD5 validation, file committal). A diagram of the process is as follows: We then tested the affects of blocking & parallelizing the transfers by running the updated application against the same source set and did a parameter sweep on the block size including 256KB, 512KB, 1MB, 2MB, and 4MB (our assumption was that anything lower than 256KB wasn’t worth the trouble and 4MB is the maximum size of a block supported by Azure). The raw data for the parallel tests is available via the links in the Related Resources section at the bottom of this post. This data was processed and then compared against the single-threaded / non-optimized transfer numbers and the results were encouraging. The Excel version of the results is available here. Two semi-obvious points need to be made prior to reviewing the data. The first is that if the block size is larger than the source file size you will end up with a “negative optimization” due to the overhead of attempting to block and parallelize. The second is that as the files get smaller, the clock-time cost of blocking and parallelizing (overhead) is more apparent and can tend towards negative optimizations. For this reason (and is supported in the raw data provided in the linked worksheet) the charts and dialog below ignore source file sizes less than 1MB. (click chart for full size image) The chart above illustrates some interesting points about the results: When the block size is smaller than the source file, performance increases but as the block size approaches and then passes the source file size, you see decreasing benefit to the point of negative gains (see the values for the 1MB file size) For some of the moderately-sized source files, small blocks (256KB) are best As the size of the source file gets larger (see values for 50MB and up), the smallest block size is not the most efficient (presumably due, at least in part, to the increased number of blocks, increased number of individual transfer requests, and reassembly/committal costs). Once you pass the 250MB source file size, the difference in rate for 1MB to 4MB blocks is more-or-less constant The 1MB block size gives the best average improvement (~16x) but the optimal approach would be to vary the block size based on the size of the source file.    (click chart for full size image) The above is another view of the same data as the prior chart just with the axis changed (x-axis represents file size and plotted data shows improvement by block size). It again highlights the fact that the 1MB block size is probably the best overall size but highlights the benefits of some of the other block sizes at different source file sizes. This last chart shows the change in total duration of the file uploads based on different block sizes for the source file sizes. Nothing really new here other than this view of the data highlights the negative affects of poorly choosing a block size for smaller files.   Summary What we have found so far is that blocking your file uploads and uploading them in parallel results in significant performance improvements. Further, utilizing extension methods and the Task Parallel Library (.NET 4.0) make short work of altering the shipping client library to provide this functionality while minimizing the amount of change to existing applications that might be using the client library for other interactions.   Related Resources Source code for upload test application Source code for random file generator ODatas feed of raw data from non-optimized transfer tests Experiment Metadata Experiment Datasets 2KB Uploads 32KB Uploads 64KB Uploads 128KB Uploads 256KB Uploads 512KB Uploads 1MB Uploads 5MB Uploads 10MB Uploads 25MB Uploads 50MB Uploads 100MB Uploads 250MB Uploads 500MB Uploads 750MB Uploads 1GB Uploads Raw Data OData feeds of raw data from blocked/parallelized transfer tests Experiment Metadata Experiment Datasets Raw Data 256KB Blocks 512KB Blocks 1MB Blocks 2MB Blocks 4MB Blocks Excel worksheet showing summarizations and comparisons

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  • My Red Gate Experience

    - by Colin Rothwell
    I’m Colin, and I’ve been an intern working with Mike in publishing on Simple-Talk and SQLServerCentral for the past ten weeks. I’ve mostly been working “behind the scenes”, making improvements to the spam filtering, along with various other small tweaks. When I arrived at Red Gate, one of the first things Mike asked me was what I wanted to get out of the internship. It wasn’t a question I’d given a great deal of thought to, but my immediate response was the same as almost anybody: to support my growing family. Well, ok, not quite that, but money was certainly a motivator, along with simply making sure that I didn’t get bored over the summer. Three months is a long time to fill, and many of my friends end up getting bored, or worse, knitting obsessively. With the arrogance which seems fairly common among Cambridge people, I wasn’t expecting to really learn much here! In my mind, the part of the year where I am at Uni is the part where I learn things, whilst Red Gate would be an opportunity to apply what I’d learnt. Thankfully, the opposite is true: I’ve learnt a lot during my time here, and there has been a definite positive impact on the way I write code. The first thing I’ve really learnt is that test-driven development is, in general, a sensible way of working. Before coming, I didn’t really get it: how could you test something you hadn’t yet written? It didn’t make sense! My problem was seeing a test as having to test all the behaviour of a given function. Writing tests which test the bare minimum possible and building them up is a really good way of crystallising the direction the code needs to grow in, and ensures you never attempt to write too much code at time. One really good experience of this was early on in my internship when Mike and I were working on the query used to list active authors: I’d written something which I thought would do the trick, but by starting again using TDD we grew something which revealed that there were several subtle mistakes in the query I’d written. I’ve also been awakened to the value of pair programming. Whilst I could sort of see the point before coming, I also thought that it was impossible that two people would ever get more done at the same computer than if they were working separately. I still think that this is true for projects with pieces that developers can easily work on independently, and with developers who both know the codebase, but I’ve found that pair programming can be really good for learning a code base, and for building up small projects to the point where you can start working on separate components, as well as solving particularly difficult problems. Later on in my internship, for my down tools week project, I was working on adding Python support to Glimpse. Another intern and I we pair programmed the entire project, using ping pong pair programming as much as possible. One bonus that this brought which I wasn’t expecting was that I found myself less prone to distraction: with someone else peering over my shoulder, I didn’t have the ever-present temptation to open gmail, or facebook, or yammer, or twitter, or hacker news, or reddit, and so on, and so forth. I’m quite proud of this project: I think it’s some of the best code I’ve written. I’ve also been really won over to the value of descriptive variables names. In my pre-Red Gate life, as a lone-ranger style cowboy programmer, I’d developed a tendency towards laziness in variable names, sometimes abbreviating or, worse, using acronyms. I’ve swiftly realised that this is a bad idea when working with a team: saving a few key strokes is inevitably not worth it when it comes to reading code again in the future. Longer names also mean you can do away with a majority of comments. I appreciate that if you’ve come up with an O(n*log n) algorithm for something which seemed O(n^2), you probably want to explain how it works, but explaining what a variable name means is a big no no: it’s so very easy to change the behaviour of the code, whilst forgetting about the comments. Whilst at Red Gate, I took the opportunity to attend a code retreat, which really helped me to solidify all the things I’d learnt. To be completely free of any existing code base really lets you focus on best practises and think about how you write code. If you get a chance to go on a similar event, I’d highly recommend it! Cycling to Red Gate, I’ve also become much better at fitting inner tubes: if you’re struggling to get the tube out, or re-fit the tire, letting a bit of air out usually helps. I’ve also become quite a bit better at foosball and will miss having a foosball table! I’d like to finish off by saying thank you to everyone at Red Gate for having me. I’ve really enjoyed working with, and learning from, the team that brings you this web site. If you meet any of them, buy them a drink!

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  • WIF, ADFS 2 and WCF&ndash;Part 5: Service Client (more Flexibility with WSTrustChannelFactory)

    - by Your DisplayName here!
    See the previous posts first. WIF includes an API to manually request tokens from a token service. This gives you more control over the request and more flexibility since you can use your own token caching scheme instead of being bound to the channel object lifetime. The API is straightforward. You first request a token from the STS and then use that token to create a channel to the relying party service. I’d recommend using the WS-Trust bindings that ship with WIF to talk to ADFS 2 – they are pre-configured to match the binding configuration of the ADFS 2 endpoints. The following code requests a token for a WCF service from ADFS 2: private static SecurityToken GetToken() {     // Windows authentication over transport security     var factory = new WSTrustChannelFactory(         new WindowsWSTrustBinding(SecurityMode.Transport),         stsEndpoint);     factory.TrustVersion = TrustVersion.WSTrust13;       var rst = new RequestSecurityToken     {         RequestType = RequestTypes.Issue,         AppliesTo = new EndpointAddress(svcEndpoint),         KeyType = KeyTypes.Symmetric     };       var channel = factory.CreateChannel();     return channel.Issue(rst); } Afterwards, the returned token can be used to create a channel to the service. Again WIF has some helper methods here that make this very easy: private static void CallService(SecurityToken token) {     // create binding and turn off sessions     var binding = new WS2007FederationHttpBinding(         WSFederationHttpSecurityMode.TransportWithMessageCredential);     binding.Security.Message.EstablishSecurityContext = false;       // create factory and enable WIF plumbing     var factory = new ChannelFactory<IService>(binding, new EndpointAddress(svcEndpoint));     factory.ConfigureChannelFactory<IService>();       // turn off CardSpace - we already have the token     factory.Credentials.SupportInteractive = false;       var channel = factory.CreateChannelWithIssuedToken<IService>(token);       channel.GetClaims().ForEach(c =>         Console.WriteLine("{0}\n {1}\n  {2} ({3})\n",             c.ClaimType,             c.Value,             c.Issuer,             c.OriginalIssuer)); } Why is this approach more flexible? Well – some don’t like the configuration voodoo. That’s a valid reason for using the manual approach. You also get more control over the token request itself since you have full control over the RST message that gets send to the STS. One common parameter that you may want to set yourself is the appliesTo value. When you use the automatic token support in the WCF federation binding, the appliesTo is always the physical service address. This means in turn that this address will be used as the audience URI value in the SAML token. Well – this in turn means that when you have an application that consists of multiple services, you always have to configure all physical endpoint URLs in ADFS 2 and in the WIF configuration of the service(s). Having control over the appliesTo allows you to use more symbolic realm names, e.g. the base address or a completely logical name. Since the URL is never de-referenced you have some degree of freedom here. In the next post we will look at the necessary code to request multiple tokens in a call chain. This is a common scenario when you first have to acquire a token from an identity provider and have to send that on to a federation gateway or Resource STS. Stay tuned.

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  • A deadlock was detected while trying to lock variables in SSIS

    Error: 0xC001405C at SQL Log Status: A deadlock was detected while trying to lock variables "User::RowCount" for read/write access. A lock cannot be acquired after 16 attempts. The locks timed out. Have you ever considered variable locking when building your SSIS packages? I expect many people haven’t just because most of the time you never see an error like the one above. I’ll try and explain a few key concepts about variable locking and hopefully you never will see that error. First of all, what is all this variable locking all about? Put simply SSIS variables have to be locked before they can be accessed, and then of course unlocked once you have finished with them. This is baked into SSIS, presumably to reduce the risk of race conditions, but with that comes some additional overhead in that you need to be careful to avoid lock conflicts in some scenarios. The most obvious place you will come across any hint of locking (no pun intended) is the Script Task or Script Component with their ReadOnlyVariables and ReadWriteVariables properties. These two properties allow you to enter lists of variables to be used within the task, or to put it another way, these lists of variables to be locked, so that they are available within the task. During the task pre-execute phase the variables and locked, you then use them during the execute phase when you code is run, and then unlocked for you during the post-execute phase. So by entering the variable names in one of the two list, the locking is taken care of for you, and you just read and write to the Dts.Variables collection that is exposed in the task for the purpose. As you can see in the image above, the variable PackageInt is specified, which means when I write the code inside that task I don’t have to worry about locking at all, as shown below. public void Main() { // Set the variable value to something new Dts.Variables["PackageInt"].Value = 199; // Raise an event so we can play in the event handler bool fireAgain = true; Dts.Events.FireInformation(0, "Script Task Code", "This is the script task raising an event.", null, 0, ref fireAgain); Dts.TaskResult = (int)ScriptResults.Success; } As you can see as well as accessing the variable, hassle free, I also raise an event. Now consider a scenario where I have an event hander as well as shown below. Now what if my event handler uses tries to use the same variable as well? Well obviously for the point of this post, it fails with the error quoted previously. The reason why is clearly illustrated if you consider the following sequence of events. Package execution starts Script Task in Control Flow starts Script Task in Control Flow locks the PackageInt variable as specified in the ReadWriteVariables property Script Task in Control Flow executes script, and the On Information event is raised The On Information event handler starts Script Task in On Information event handler starts Script Task in On Information event handler attempts to lock the PackageInt variable (for either read or write it doesn’t matter), but will fail because the variable is already locked. The problem is caused by the event handler task trying to use a variable that is already locked by the task in Control Flow. Events are always raised synchronously, therefore the task in Control Flow that is raising the event will not regain control until the event handler has completed, so we really do have un-resolvable locking conflict, better known as a deadlock. In this scenario we can easily resolve the problem by managing the variable locking explicitly in code, so no need to specify anything for the ReadOnlyVariables and ReadWriteVariables properties. public void Main() { // Set the variable value to something new, with explicit lock control Variables lockedVariables = null; Dts.VariableDispenser.LockOneForWrite("PackageInt", ref lockedVariables); lockedVariables["PackageInt"].Value = 199; lockedVariables.Unlock(); // Raise an event so we can play in the event handler bool fireAgain = true; Dts.Events.FireInformation(0, "Script Task Code", "This is the script task raising an event.", null, 0, ref fireAgain); Dts.TaskResult = (int)ScriptResults.Success; } Now the package will execute successfully because the variable lock has already been released by the time the event is raised, so no conflict occurs. For those of you with a SQL Engine background this should all sound strangely familiar, and boils down to getting in and out as fast as you can to reduce the risk of lock contention, be that SQL pages or SSIS variables. Unfortunately we cannot always manage the locking ourselves. The Execute SQL Task is very often used in conjunction with variables, either to pass in parameter values or get results out. Either way the task will manage the locking for you, and will fail when it cannot lock the variables it requires. The scenario outlined above is clear cut deadlock scenario, both parties are waiting on each other, so it is un-resolvable. The mechanism used within SSIS isn’t actually that clever, and whilst the message says it is a deadlock, it really just means it tried a few times, and then gave up. The last part of the error message is actually the most accurate in terms of the failure, A lock cannot be acquired after 16 attempts. The locks timed out.  Now this may come across as a recommendation to always manage locking manually in the Script Task or Script Component yourself, but I think that would be an overreaction. It is more of a reminder to be aware that in high concurrency scenarios, especially when sharing variables across multiple objects, locking is important design consideration. Update – Make sure you don’t try and use explicit locking as well as leaving the variable names in the ReadOnlyVariables and ReadWriteVariables lock lists otherwise you’ll get the deadlock error, you cannot lock a variable twice!

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  • Using Windows Previous Versions to access ZFS Snapshots (July 14, 2009)

    - by user12612012
    The Previous Versions tab on the Windows desktop provides a straightforward, intuitive way for users to view or recover files from ZFS snapshots.  ZFS snapshots are read-only, point-in-time instances of a ZFS dataset, based on the same copy-on-write transactional model used throughout ZFS.  ZFS snapshots can be used to recover deleted files or previous versions of files and they are space efficient because unchanged data is shared between the file system and its snapshots.  Snapshots are available locally via the .zfs/snapshot directory and remotely via Previous Versions on the Windows desktop. Shadow Copies for Shared Folders was introduced with Windows Server 2003 but subsequently renamed to Previous Versions with the release of Windows Vista and Windows Server 2008.  Windows shadow copies, or snapshots, are based on the Volume Snapshot Service (VSS) and, as the [Shared Folders part of the] name implies, are accessible to clients via SMB shares, which is good news when using the Solaris CIFS Service.  And the nice thing is that no additional configuration is required - it "just works". On Windows clients, snapshots are accessible via the Previous Versions tab in Windows Explorer using the Shadow Copy client, which is available by default on Windows XP SP2 and later.  For Windows 2000 and pre-SP2 Windows XP, the client software is available for download from Microsoft: Shadow Copies for Shared Folders Client. Assuming that we already have a shared ZFS dataset, we can create ZFS snapshots and view them from a Windows client. zfs snapshot tank/home/administrator@snap101zfs snapshot tank/home/administrator@snap102 To view the snapshots on Windows, map the dataset on the client then right click on a folder or file and select Previous Versions.  Note that Windows will only display previous versions of objects that differ from the originals.  So you may have to modify files after creating a snapshot in order to see previous versions of those files. The screenshot above shows various snapshots in the Previous Versions window, created at different times.  On the left panel, the .zfs folder is visible, illustrating that this is a ZFS share.  The .zfs setting can be toggled as desired, it makes no difference when using previous versions.  To make the .zfs folder visible: zfs set snapdir=visible tank/home/administrator To hide the .zfs folder: zfs set snapdir=hidden tank/home/administrator The following screenshot shows the Previous Versions panel when a file has been selected.  In this case the user is prompted to view, copy or restore the file from one of the available snapshots. As can be seen from the screenshots above, the Previous Versions window doesn't display snapshot names: snapshots are listed by snapshot creation time, sorted in time order from most recent to oldest.  There's nothing we can do about this, it's the way that the interface works.  Perhaps one point of note, to avoid confusion, is that the ZFS snapshot creation time isnot the same as the root directory creation timestamp. In ZFS, all object attributes in the original dataset are preserved when a snapshot is taken, including the creation time of the root directory.  Thus the root directory creation timestamp is the time that the directory was created in the original dataset. # ls -d% all /home/administrator         timestamp: atime         Mar 19 15:40:23 2009         timestamp: ctime         Mar 19 15:40:58 2009         timestamp: mtime         Mar 19 15:40:58 2009         timestamp: crtime         Mar 19 15:18:34 2009 # ls -d% all /home/administrator/.zfs/snapshot/snap101         timestamp: atime         Mar 19 15:40:23 2009         timestamp: ctime         Mar 19 15:40:58 2009         timestamp: mtime         Mar 19 15:40:58 2009         timestamp: crtime         Mar 19 15:18:34 2009 The snapshot creation time can be obtained using the zfs command as shown below. # zfs get all tank/home/administrator@snap101NAME                             PROPERTY  VALUEtank/home/administrator@snap101  type      snapshottank/home/administrator@snap101  creation  Mon Mar 23 18:21 2009 In this example, the dataset was created on March 19th and the snapshot was created on March 23rd. In conclusion, Shadow Copies for Shared Folders provides a straightforward way for users to view or recover files from ZFS snapshots.  The Windows desktop provides an easy to use, intuitive GUI and no configuration is required to use or access previous versions of files or folders. REFERENCES FOR MORE INFORMATION ZFS ZFS Learning Center Introduction to Shadow Copies of Shared Folders Shadow Copies for Shared Folders Client

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  • RiverTrail - JavaScript GPPGU Data Parallelism

    - by JoshReuben
    Where is WebCL ? The Khronos WebCL working group is working on a JavaScript binding to the OpenCL standard so that HTML 5 compliant browsers can host GPGPU web apps – e.g. for image processing or physics for WebGL games - http://www.khronos.org/webcl/ . While Nokia & Samsung have some protype WebCL APIs, Intel has one-upped them with a higher level of abstraction: RiverTrail. Intro to RiverTrail Intel Labs JavaScript RiverTrail provides GPU accelerated SIMD data-parallelism in web applications via a familiar JavaScript programming paradigm. It extends JavaScript with simple deterministic data-parallel constructs that are translated at runtime into a low-level hardware abstraction layer. With its high-level JS API, programmers do not have to learn a new language or explicitly manage threads, orchestrate shared data synchronization or scheduling. It has been proposed as a draft specification to ECMA a (known as ECMA strawman). RiverTrail runs in all popular browsers (except I.E. of course). To get started, download a prebuilt version https://github.com/downloads/RiverTrail/RiverTrail/rivertrail-0.17.xpi , install Intel's OpenCL SDK http://www.intel.com/go/opencl and try out the interactive River Trail shell http://rivertrail.github.com/interactive For a video overview, see  http://www.youtube.com/watch?v=jueg6zB5XaM . ParallelArray the ParallelArray type is the central component of this API & is a JS object that contains ordered collections of scalars – i.e. multidimensional uniform arrays. A shape property describes the dimensionality and size– e.g. a 2D RGBA image will have shape [height, width, 4]. ParallelArrays are immutable & fluent – they are manipulated by invoking methods on them which produce new ParallelArray objects. ParallelArray supports several constructors over arrays, functions & even the canvas. // Create an empty Parallel Array var pa = new ParallelArray(); // pa0 = <>   // Create a ParallelArray out of a nested JS array. // Note that the inner arrays are also ParallelArrays var pa = new ParallelArray([ [0,1], [2,3], [4,5] ]); // pa1 = <<0,1>, <2,3>, <4.5>>   // Create a two-dimensional ParallelArray with shape [3, 2] using the comprehension constructor var pa = new ParallelArray([3, 2], function(iv){return iv[0] * iv[1];}); // pa7 = <<0,0>, <0,1>, <0,2>>   // Create a ParallelArray from canvas.  This creates a PA with shape [w, h, 4], var pa = new ParallelArray(canvas); // pa8 = CanvasPixelArray   ParallelArray exposes fluent API functions that take an elemental JS function for data manipulation: map, combine, scan, filter, and scatter that return a new ParallelArray. Other functions are scalar - reduce  returns a scalar value & get returns the value located at a given index. The onus is on the developer to ensure that the elemental function does not defeat data parallelization optimization (avoid global var manipulation, recursion). For reduce & scan, order is not guaranteed - the onus is on the dev to provide an elemental function that is commutative and associative so that scan will be deterministic – E.g. Sum is associative, but Avg is not. map Applies a provided elemental function to each element of the source array and stores the result in the corresponding position in the result array. The map method is shape preserving & index free - can not inspect neighboring values. // Adding one to each element. var source = new ParallelArray([1,2,3,4,5]); var plusOne = source.map(function inc(v) {     return v+1; }); //<2,3,4,5,6> combine Combine is similar to map, except an index is provided. This allows elemental functions to access elements from the source array relative to the one at the current index position. While the map method operates on the outermost dimension only, combine, can choose how deep to traverse - it provides a depth argument to specify the number of dimensions it iterates over. The elemental function of combine accesses the source array & the current index within it - element is computed by calling the get method of the source ParallelArray object with index i as argument. It requires more code but is more expressive. var source = new ParallelArray([1,2,3,4,5]); var plusOne = source.combine(function inc(i) { return this.get(i)+1; }); reduce reduces the elements from an array to a single scalar result – e.g. Sum. // Calculate the sum of the elements var source = new ParallelArray([1,2,3,4,5]); var sum = source.reduce(function plus(a,b) { return a+b; }); scan Like reduce, but stores the intermediate results – return a ParallelArray whose ith elements is the results of using the elemental function to reduce the elements between 0 and I in the original ParallelArray. // do a partial sum var source = new ParallelArray([1,2,3,4,5]); var psum = source.scan(function plus(a,b) { return a+b; }); //<1, 3, 6, 10, 15> scatter a reordering function - specify for a certain source index where it should be stored in the result array. An optional conflict function can prevent an exception if two source values are assigned the same position of the result: var source = new ParallelArray([1,2,3,4,5]); var reorder = source.scatter([4,0,3,1,2]); // <2, 4, 5, 3, 1> // if there is a conflict use the max. use 33 as a default value. var reorder = source.scatter([4,0,3,4,2], 33, function max(a, b) {return a>b?a:b; }); //<2, 33, 5, 3, 4> filter // filter out values that are not even var source = new ParallelArray([1,2,3,4,5]); var even = source.filter(function even(iv) { return (this.get(iv) % 2) == 0; }); // <2,4> Flatten used to collapse the outer dimensions of an array into a single dimension. pa = new ParallelArray([ [1,2], [3,4] ]); // <<1,2>,<3,4>> pa.flatten(); // <1,2,3,4> Partition used to restore the original shape of the array. var pa = new ParallelArray([1,2,3,4]); // <1,2,3,4> pa.partition(2); // <<1,2>,<3,4>> Get return value found at the indices or undefined if no such value exists. var pa = new ParallelArray([0,1,2,3,4], [10,11,12,13,14], [20,21,22,23,24]) pa.get([1,1]); // 11 pa.get([1]); // <10,11,12,13,14>

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  • CodePlex Daily Summary for Sunday, August 03, 2014

    CodePlex Daily Summary for Sunday, August 03, 2014Popular ReleasesBoxStarter: Boxstarter 2.4.76: Running the Setup.bat file will install Chocolatey if not present and then install the Boxstarter modules.GMare: GMare Beta 1.2: Features Added: - Instance painting by holding the alt key down while pressing the left mouse button - Functionality to the binary exporter so that backgrounds from image files can be used - On the binary exporter background information can be edited manually now - Update to the GMare binary read GML script - Game Maker Studio export - Import from GMare project. Multiple options to import desired properties of a .gmpx - 10 undo/redo levels instead of 5 is now the default - New preferences dia...Json.NET: Json.NET 6.0 Release 4: New feature - Added Merge to LINQ to JSON New feature - Added JValue.CreateNull and JValue.CreateUndefined New feature - Added Windows Phone 8.1 support to .NET 4.0 portable assembly New feature - Added OverrideCreator to JsonObjectContract New feature - Added support for overriding the creation of interfaces and abstract types New feature - Added support for reading UUID BSON binary values as a Guid New feature - Added MetadataPropertyHandling.Ignore New feature - Improv...SQL Server Dialog: SQL Server Dialog: Input server, user and password Show folder and file in treeview Customize icon Filter file extension Skip system generate folder and fileAitso-a platform for spatial optimization and based on artificial immune systems: Aitso_0.14.08.01: Aitso0.14.08.01Installer.zipVidCoder: 1.5.24 Beta: Added NL-Means denoiser. Updated HandBrake core to SVN 6254. Added extra error handling to DVD player code to avoid a crash when the player was moved.AutoUpdater.NET : Auto update library for VB.NET and C# Developer: AutoUpdater.NET 1.3: Fixed problem in DownloadUpdateDialog where download continues even if you close the dialog. Added support for new url field for 64 bit application setup. AutoUpdater.NET will decide which download url to use by looking at the value of IntPtr.Size. Added German translation provided by Rene Kannegiesser. Now developer can handle update logic herself using event suggested by ricorx7. Added italian translation provided by Gianluca Mariani. Fixed bug that prevents Application from exiti...SEToolbox: SEToolbox 01.041.012 Release 1: Added voxel material textures to read in with mods. Fixed missing texture replacements for mods. Fixed rounding issue in raytrace code. Fixed repair issue with corrupt checkpoint file. Fixed issue with updated SE binaries 01.041.012 using new container configuration.Magick.NET: Magick.NET 6.8.9.601: Magick.NET linked with ImageMagick 6.8.9.6 Breaking changes: - Changed arguments for the Map method of MagickImage. - QuantizeSettings uses Riemersma by default.Multiple Threads TCP Server: Project: this Project is based on VS 2013, .net freamwork 4.0, you can open it by vs 2010 or laterAricie Shared: Aricie.Shared Version 1.8.00: Version 1.8.0 - Release Notes New: Expression Builder to design Flee Expressions New: Cryptographic helpers and configuration classes Improvement: Many fixes and improvements with property editor Improvement: Token Replace Property explorer now has a restricted mode for additional security Improvement: Better variables, types and object manipulation Fixed: smart file and flee bugs Fixed: Removed Exception while trying to read unsuported files Improvement: several performance twe...Accesorios de sitios Torrent en Español para Synology Download Station: Pack de Torrents en Español 6.0.0: Agregado los módulos de DivXTotal, el módulo de búsqueda depende del de alojamiento para bajar las series Utiliza el rss: http://www.divxtotal.com/rss.php DbEntry.Net (Leafing Framework): DbEntry.Net 4.2: DbEntry.Net is a lightweight Object Relational Mapping (ORM) database access compnent for .Net 4.0+. It has clearly and easily programing interface for ORM and sql directly, and supoorted Access, Sql Server, MySql, SQLite, Firebird, PostgreSQL and Oracle. It also provide a Ruby On Rails style MVC framework. Asp.Net DataSource and a simple IoC. DbEntry.Net.v4.2.Setup.zip include the setup package. DbEntry.Net.v4.2.Src.zip include source files and unit tests. DbEntry.Net.v4.2.Samples.zip ...Azure Storage Explorer: Azure Storage Explorer 6 Preview 1: Welcome to Azure Storage Explorer 6 Preview 1 This is the first release of the latest Azure Storage Explorer, code-named Phoenix. What's New?Here are some important things to know about version 6: Open Source Now being run as a full open source project. Full source code on CodePlex. Collaboration encouraged! Updated Code Base Brand-new code base (WPF/C#/.NET 4.5) Visual Studio 2013 solution (previously VS2010) Uses the Task Parallel Library (TPL) for asynchronous background operat...Wsus Package Publisher: release v1.3.1407.29: Updated WPP to recognize the very latest console version. Some files was missing into the latest release of WPP which lead to crash when trying to make a custom update. Add a workaround to avoid clipboard modification when double-clicking on a label when creating a custom update. Add the ability to publish detectoids. (This feature is still in a BETA phase. Packages relying on these detectoids to determine which computers need to be updated, may apply to all computers).VG-Ripper & PG-Ripper: PG-Ripper 1.4.32: changes NEW: Added Support for 'ImgMega.com' links NEW: Added Support for 'ImgCandy.net' links NEW: Added Support for 'ImgPit.com' links NEW: Added Support for 'Img.yt' links FIXED: 'Radikal.ru' links FIXED: 'ImageTeam.org' links FIXED: 'ImgSee.com' links FIXED: 'Img.yt' linksAsp.Net MVC-4,Entity Framework and JQGrid Demo with Todo List WebApplication: Asp.Net MVC-4,Entity Framework and JQGrid Demo: Asp.Net MVC-4,Entity Framework and JQGrid Demo with simple Todo List WebApplication, Overview TodoList is a simple web application to create, store and modify Todo tasks to be maintained by the users, which comprises of following fields to the user (Task Name, Task Description, Severity, Target Date, Task Status). TodoList web application is created using MVC - 4 architecture, code-first Entity Framework (ORM) and Jqgrid for displaying the data.Waterfox: Waterfox 31.0 Portable: New features in Waterfox 31.0: Added support for Unicode 7.0 Experimental support for WebCL New features in Firefox 31.0:New Add the search field to the new tab page Support of Prefer:Safe http header for parental control mozilla::pkix as default certificate verifier Block malware from downloaded files Block malware from downloaded files audio/video .ogg and .pdf files handled by Firefox if no application specified Changed Removal of the CAPS infrastructure for specifying site-sp...SuperSocket, an extensible socket server framework: SuperSocket 1.6.3: The changes below are included in this release: fixed an exception when collect a server's status but it has been stopped fixed a bug that can cause an exception in case of sending data when the connection dropped already fixed the log4net missing issue for a QuickStart project fixed a warning in a QuickStart projectYnote Classic: Ynote Classic 2.8.5 Beta: Several Changes - Multiple Carets and Multiple Selections - Improved Startup Time - Improved Syntax Highlighting - Search Improvements - Shell Command - Improved StabilityNew ProjectsCreek: Creek is a Collection of many C# Frameworks and my ownSpeaking Speedometer (android): Simple speaking speedometerT125Protocol { Alpha version }: implement T125 Protocol for communicate with a mainframe.Unix Time: This library provides a System.UnixTime as a new Type providing conversion between Unix Time and .NET DateTime.

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  • Oracle Fusion Middleware gives you Choice and Portability for Public and Private Cloud

    - by Michelle Kimihira
    Author: Margaret Lee, Senior Director, Product Management, Oracle Fusion Middleware Cloud Computing allows customers to quickly develop and deploy applications in a shared environment.  The environment can span across hardward (IaaS), foundation layer software (PaaS), and end-user software (SaaS). Cloud Computing provides compelling benefits in terms of business agility and IT cost savings.  However, with complex, existing heterogeneous architectures, and concerns for security and manageability, enterprises are challenged to define their Cloud strategy.  For most enterprises, the solution is a hybrid of private and public cloud.  Fusion Middleware supports customers’ Cloud requirements through choice and portability. Fusion Middleware supports a variety of cloud development and deployment models:  Oracle [Public] Cloud; customer private cloud; hybrid of these two, and traditional dedicated, on-premise model Customers can develop applications in any of these models and deployed in another, providing the flexibility and portability they need Oracle Cloud is a public cloud offering.  Within Oracle Cloud, Fusion Middleware provides two key offerings include the Developer cloud service and Java cloud deployment service. Developer Cloud Service Simplify Development: Automated provisioned environment; pre-configured and integrated; web-based administration Deploy Automatically: Fully integrated with Oracle Cloud for Java deployment; workflow ensures build & test Collaborate & Manage: Fits any size team; integrated team source repository; continuous integration; task/defect tracking Integrated with all major IDEs: Oracle JDeveloper; NetBeans; Eclipse Java Cloud Service Java Cloud service provides flexible Java deployment environment for departmental applications and development, staging, QA, training, and demo environments.  It also supports customizations deployments for SaaS-based Fusion Applications customers.  Some key features of Java Cloud Service include: WebLogic Server on Exalogic, secure, highly available infrastructure Database Service & IDE Integration Open, Standard-based Deploy Web Apps, Web Services, REST Services Fully managed and supported by Oracle For more information, please visit Oracle Cloud, Oracle Cloud Java Service and Oracle Cloud Developer Service. If your enterprise prefers a private cloud, for reasons such as security, control, manageability, and complex integration that prevent your applications from being deployed on a public cloud, Fusion Middleware also provide you with the products and tools you need.  Sometimes called Private PaaS, private clouds have their predecessors in shared-services arrangements many large companies have been building in the past decade.  The difference, however, are in the scope of the services, and depth of their capabilities.  In terms of vertical stack depth, private clouds not only provide hardware and software infrastructure to run your applications, they also provide services such as integration and security, that your applications need.  Horizontally, private clouds provide monitoring, management, lifecycle, and charge back capabilities out-of-box that shared-services platforms did not have before. Oracle Fusion Middleware includes the complete stack of hardware and software for you to build private clouds: SOA suite and BPM suite to support systems integration and process flow between applications deployed on your private cloud and the rest of your organization Identity and Access Management suite to provide security, provisioning, and access services for applications deployed on your private cloud WebLogic Server to run your applications Enterprise Manager's Cloud Management pack to monitor, manage, upgrade applications running on your private cloud Exalogic or optimized Oracle-Sun hardware to build out your private cloud The most important key differentiator for Oracle's cloud solutions is portability, between private and public clouds.  This is unique to Oracle because portability requires the vendor to have product depth and breadth in both public cloud services and private cloud product offerings.  Most public cloud vendors cannot provide the infrastructure and tools customers need to build their own private clouds.  In reverse, traditional software tools vendors typically do not have the product and expertise breadth to build out and offer a public cloud.  Oracle can.  It is important for customers that the products and technologies  Oracle uses to build its public is the same set that it sells to customers for them to build private clouds.  Fundamentally, that enables skills reuse,  as well as application portability. For more information on Oracle PaaS offerings, please visit Oracle's product information page.    Resources Follow us on Twitter and Facebook Subscribe to our regular Fusion Middleware Newsletter

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  • RightNow CX @ OpenWorld: What to Experience

    - by Tony Berk
    We want to welcome our RightNow CX customers to Oracle OpenWorld next week. Get ready for a great week and a whole new experience! For a high level overview of what is going on during the week, please review these previous posts: Is There a Cloud Over OpenWorld? and What to "CRM" in San Francisco? CRM Highlights for OpenWorld '12. Also, don't forget you can add on the Customer Experience Summit @ OpenWorld to make your week even more complete and get involved with the Experience Revolution! Below is a highlight of only some of the RightNow related sessions at OpenWorld. Please use OpenWorld Schedule Builder or check the OpenWorld Content Catalog for all of the session details and any time or location changes. Tip: Pre-enrolled session registrants via Schedule Builder are allowed into the session rooms before anyone else, so Schedule Builder will guarantee you a seat. Many of the sessions below will likely be at capacity. No better way to start off than hearing where Oracle RightNow is going! Oracle RightNow CX Cloud Service Vision and Roadmap (CON9764) - Oct 1, 10:45 AM. Oracle RightNow CX Cloud Service combines Web, social, and contact center experiences for a unified, cross-channel service solution in the cloud, enabling organizations to increase sales and adoption, build trust, strengthen relationships, and reduce costs and effort. Come to this session to hear from David Vap and his team of Oracle experts about where the product is going and how Oracle is committed to accelerating the pace of innovation and value to its customers. Interested in the Cloud and want to know why some leading CIOs are moving to the cloud? You can hear first hand from CIOs from Emerson, Intuit and Overstock.com: CIOs and Governance in the Cloud (CON9767) - Oct 3, 11:45 AM.   And of course there are a number of sessions that drill down into more specific areas. Here are just a few: Deliver Outstanding Customer Experiences: Oracle RightNow Dynamic Agent Desktop Cloud Service (CON9771) - Oct 1, 4:45 PM. This session covers how companies have delivered exceptional customer experiences and how the Oracle RightNow Dynamic Agent Desktop Cloud Service roadmap will evolve in the future. The Oracle RightNow Contact Center Experience suite includes incident management, knowledge, guided processes, and other service capabilities to unify the customer experience across channels. Come learn about the powerful tools that enable even your junior agents to consistently provide outstanding service across all customer interaction channels. Self-Service in the Age of Data Intimacy (CON11516) - Oct 1, 3:15. Even though businesses are generating more and more data around their relationships and interactions with customers, very little of the information a business generates ends up available to the contact center and even less is made available to the online service experience. The generic one-size-fits-all approach that typifies most online service experiences ultimately fails to address all user needs, and that failure ultimately leads to the continued use of high-cost agent-assisted channels for low-value interactions. This session introduces Oracle RightNow Web Experience’s Virtual Assistant and discusses how you can deliver rich, engaging, highly personalized experiences with the quality of agent-assisted service at a much lower cost. Improve Chat Experiences: Best Practices for Chat Pilots and Deployments (CON11517) - Oct 1, 4:45 PM. Today’s organizations are challenged to grow revenue and retain customers with fewer resources, and many have turned to chat as an approach to improving the customer experience, increasing sales conversions, and reducing costs at the same time. From setting goals and metrics and training staff to customizing and tuning the solution, this session provides best practices and lessons learned from a broad set of implementations to help you get the most out of your chat solution. Differentiated Experience with Web Service (CON9770) - Oct 2, 1:15 PM. A reputation for excellent customer service can differentiate your brand and drive revenue. In this session, learn how to develop that reputation by transforming your online self-service into a highly interactive, branded customer experience. See live examples of how Oracle RightNow Web Experience has helped customers deliver on their Web service strategies. Unifying the Agent’s Engagement Console (CON11518) - Oct 2, 1:15 PM. Does your customer experience suffer because your agents are toggling between multiple tools? Do your agent productivity and morale suffer as well? Come to this session to learn how Oracle RightNow CX Cloud Service seamlessly unifies these disparate systems into a single engagement console. Regardless of channel, powerful adaptive tools consistently guide agents across contextually aware personalized workflows. Great agent experiences drive great customer experiences. Oracle RightNow CX Cloud Service and the Oracle Customer Experience Portfolio (CON9775) - Oct 3, 10:15 AM. This session covers how Oracle’s integrated suite of customer experience (CX) products fits with the Oracle CX portfolio of products (Oracle Fusion Customer Relationship Management; the Oracle ATG, Oracle Endeca, and Oracle Knowledge product families; and Oracle Business Intelligence) to increase revenues, strengthen customer relationships, and reduce costs across the entire end-to-end customer lifecycle for companies that sell to consumers and those that sell to businesses. Greater Insights from Customer Engagements (CON9773) Oct 4, 12:45 PM. In this session, hear how to leverage service interaction insights, customer feedback, and segmented service engagements to improve the customer experience. Discover how customers, such as J&P Cycles, learn and take action based on business insights gained through their customer engagements. Again, these are just some of the sessions, so check out the Content Catalog for details on Knowledge Management, Customization, Integration and more in the Oracle Develop stream for Customer Experience. Be sure to visit the Oracle DEMOgrounds in the Moscone West Exhibit Hall. If this is your first OpenWorld, welcome! If you are returning, hi again and enjoy!

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  • CD/DVD drive not mounted when inserted with Disc of any kind

    - by Cisco Sán
    I just noticed that if a insert a CD or a DVD of any kind, the Drive will start spinning but it will not show the mounted disc. Before it used to ask me what to do with the media inserted. Now it doesn't even do that. I ran in the terminal this code: eject -n and it displays this: " eject: device is `/dev/sr0'" what can I do to get the functionality back on my drive. also ran this command: sudo mount -o ro,unhide,uid=1000 /dev/cdrom /mnt/cdrom but in return i get this: " mount: mount point /mnt/cdrom does not exist" Running Ubuntu 11.10 HERE IS THE HISTORY UNTIL NOW thanks Waltinator: I ran the 'dmesg' but don't know what I'm looking for. Im a newbie on this. The same thing with the 'ls -rlt /var/log' command. Should I create the directory for the mount? at this point really don't know what to do. – Cisco Sán 7 hours ago Here are 3 lines from my dmesg after I successfully inserted a CD: [ 4804.416018] wlan0: no IPv6 routers present [ 8214.125450] ISdit ISO 9660 Extensions: Microsoft Joliet Level 3 [ 8214.136556] ISO 9660 Extensions: RRIP_1991A The first line is a previous event, my wireless going online. The next 2 lines are a good result. The number in square brackets is "seconds since boot", the rest of the line is usually helpful. And no, you should NOT create the mount point. Let's try to get the automatic mounting to work. – waltinator 7 hours ago ok this are my last 3 lines on the 'dmesg' [ 18.130819] init: plymouth-stop pre-start process (1396) terminated with status 1 [ 28.780011] wlan0: no IPv6 routers present [ 505.632119] CE: hpet increased min_delta_ns to 20113 nsec – Cisco Sán 6 hours ago It looks like your CD/DVD drive is not connected to the data bus, and not causing an interrupt when you insert a platter. – waltinator 6 hours ago Try dmesg | grep -A8 CD-ROM which should show you what the system thought was available when it came up. – waltinator 6 hours ago here is my printout [0.774351] scsi 0:0:0:0: CD-ROM HL-DT-ST DVD+-RW GSA-T40N A100 PQ: 0 ANSI: 5 [0.778117] sr0: scsi3-mmc drive: 24x/24x writer dvd-ram cd/rw xa/form2 cdda tray [0.778122] cdrom: Uniform CD-ROM driver Revision: 3.20 [0.778282] sr 0:0:0:0: Attached scsi CD-ROM sr0 [0.778340] sr 0:0:0:0: Attached scsi generic sg0 type 5 [0.780416] Freeing unused kernel memory: 984k freed [0.780732] Write protecting the kernel read-only data: 10240k [0.780986] Freeing unused kernel memory: 20k freed [0.786331] Freeing unused kernel memory: 1400k freed [0.804912] udevd[90]: starting version 173 [0.874178] r8169 Gigabit Ethernet driver 2.3LK-NAPI loaded [0.874208] r8169 0000:02:00.0: PCI INT A - GSI 16 (level, low) - IRQ 16 OK, your system sees the drive. Can you open and close the tray with eject and eject -t? Run udevadm monitor while you insert a CD (type ^C when done) and see if you get "change" and "add" messages. – waltinator 6 hours ago ok, "eject" works perfectly "eject -t" does nothing. this is the message for "udevadm monitor": KERNEL[13771.009267] change /devices/pci0000:00/0000:00:1f.1/host0/target0:0:0/0:0:0:0/block/sr0 (block) UDEV [13773.878887] change /devices/pci0000:00/0000:00:1f.1/host0/target0:0:0/0:0:0 /block/sr0 (block) – Cisco Sán 6 hours ago sudo hwinfo --cdrom (the hwinfo package is installable through Software Center) describes my CD-ROM, try it. – waltinator 4 hours ago My read out from the "sudo hwinfo --cdrom" are the following: hal.1: read hal dataprocess 2753: arguments to dbus_move_error() were incorrect, assertion "(dest) == NULL || !dbus_error_is_set ((dest))" failed in file ../../dbus/dbus-errors.c line 280. This is normally a bug in some application using the D-Bus library. libhal.c 3483 : Error unsubscribing to signals, error=The name org.freedesktop.Hal was not provided by any .service files 22: SCSI 00.0: 10602 CD-ROM (DVD) [Created at block.247] Unique ID: KD9E.JgkxTS4hgl2 Parent ID: 3p2J.gdUMCD83e+E SysFS ID: /class/block/sr0 SysFS BusID: 0:0:0:0 SysFS Device Link: /devices/pci0000:00/0000:00:1f.1/host0/target0:0:0/0:0:0:0 Hardware Class: cdrom Model: "HL-DT-ST DVD+-RW GSA-T40N" Vendor: "HL-DT-ST" Device: "DVD+-RW GSA-T40N" Revision: "A100" Driver: "ata_piix", "sr" Driver Modules: "ata_piix" Device File: /dev/sr0 (/dev/sg0) Device Files: /dev/sr0, /dev/scd0, /dev/disk/by-id/ata-HL-DT-ST_DVD+_-RW_GSA-T40N_K048BJ74257, /dev/disk/by-path/pci-0000:00:1f.1-scsi-0:0:0:0, /dev/cdrom, /dev/cdrw, /dev/dvd, /dev/dvdrw Device Number: block 11:0 (char 21:0) Features: DVD Config Status: cfg=new, avail=yes, need=no, active=unknown Attached to: #17 (IDE interface) Drive Speed: 31 Volume ID: "Movie" Publisher: "INTERVIDEO" Creation date: "20050424162207000" Thanks for the help. To Castro, hope this is what you meant and sorry for the comments..

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  • URGENT: IE 6/7/8 problem!- Right Column is not aligned and is pushed down.

    - by Kalpesh Vasta
    Hi Guys, I'm new to this but here goes. I have been developing this website http://www.panelmaster.co.uk and i have managed to solve the majority of design problems but one! If you take a look at the site in IE the right column seems to drop down and is not aligned with the right and centre column. This problem only occurs in IE as upon testing i found it was fine in firefox and safari. I have provided below the CSS for the website. I would appreciate if you guys can help me with the problem asap. Thanks in advance. :) ========================== body { margin: 0; padding: 0; line-height: 1.5em; font-family: Tahoma, Geneva, sans-serif; font-size: 12px; color: #666; background-image: url(images/templatemo_body_top.jpg); background-color: #90857c; background-repeat: repeat-x; background-position: top; text-align: left; } a:link, a:visited { color: #073475; text-decoration: none; font-weight: normal; } a:active, a:hover { color: #073475; text-decoration: underline; } h3 { color: #1e7da9; font-size: 16px; font-weight: bold; } h2 { color: #1e7da9; font-size: 16px; font-weight: bold; } h1 { color: #696969; font-size: 20px; font-weight: bold; } p { margin: 0px; padding: 0px; } img { margin: 0px; padding: 0px; border: none; } .cleaner { clear: both; width: 100%; height: 0px; font-size: 0px; } .cleaner_h30 { clear: both; width:100%; height: 30px; } .cleaner_h40 { clear: both; width:100%; height: 40px; } .float_l { float: left; } .float_r { float: right; } .margin_r20 { margin-right: 20px; } templatemo_body_wrapper { width: 100%; background: url(images/templatemo_body_bottom.png) repeat-x bottom center; } templatemo_wrapper { width: 970px; padding: 0 10px; margin: 0 auto; background: url(images/templatemo_wrapper_top.jpg) no-repeat top center; } /* header */ templatemo_header { clear: both; width: 890px; height: 60px; padding: 20px 40px } templatemo_header #site_title { float: left; padding-top: 15px; } site_title a { font-size: 24px; color: #FFFFFF; font-weight: bold; text-decoration: none; } site_title a:hover { font-weight: bold; text-decoration: none; } site_title a span { display: block; margin-top: 5px; font-size: 14px; color: #fff; font-weight: bold; letter-spacing: 2px; } /* end of header */ /* menu */ templatemo_menu { clear: both; width: 970px; height: 80px; background: url(images/templatemo_menubar.png) no-repeat; } search_box { width: 990px; height: 35px; text-align: right; } search_box form { margin: 0; padding: 5px 40px; } search_box #input_field { height: 20px; width: 300px; color: #000000; font-size: 12px; font-variant: normal; line-height: normal; border: 1px solid #CCCCCC; background: #FFFFFF; } search_box #submit_btn { height: 24px; width: 100px; cursor: pointer; font-size: 12px; text-align: center; vertical-align: bottom; white-space: pre; outline: none; color:#666666; border: 1px solid #CCCCCC; background: #FFFFFF; } templatemo_menu ul { width: 890px; height: 35px; margin: 0; padding: 7px 40px; list-style: none; } templatemo_menu ul li { padding: 0px; margin: 0px; display: inline; } templatemo_menu ul li a { float: left; display: block; margin-right: 40px; font-size: 13px; text-decoration: none; color: #fff; font-weight: normal; outline: none; } templatemo_menu ul li a:hover, #templatemo_menu ul .current { color: #162127; } /* end of menu */ /* contetnt */ templatemo_content_wrapper { clear: both; padding: 0px 0; } templatemo_content { float: left; margin-left: 10px; width: 550px; } banner { margin: 0 0 10px 0; } templatemo_content #content_top { width: 550px; height: 20px; background: url(images/templatemo_content_top.png) no-repeat; } templatemo_content #content_bottom { width: 550px; height: 20px; background: url(images/templatemo_content_bottom.png) no-repeat; } templatemo_content #content_middle { width: 510px; padding: 5px 20px 0px 20px; background: url(images/templatemo_content_middle.png) repeat-y; } content_middle p { text-align: justify; } .templatemo_sidebar_wrapper { width: 200px; } .templatemo_sidebar { width: 197px; padding-right: 3px; background: url(images/templatemo_sidebar_middle.png) repeat-y; } .templatemo_sidebar_top { width: 200px; height: 20px; background: url(images/templatemo_sidebar_top.png) no-repeat; } .templatemo_sidebar_bottom { width: 200px; height: 20px; background: url(images/templatemo_sidebar_bottom.png) no-repeat; } .templatemo_sidebar .sidebar_box { clear: both; padding-bottom: 20px; } .sidebar_box1 { padding: 15px; } .sidebar_box h2 { color: #2d84ad; font-size: 16px; padding-left: 25px; font-weight: bold; margin: 0 0 10px 10px; background: url(images/templatemo_sidebar_h1.jpg) left center no-repeat; } .sidebar_box .sidebar_box_content { padding: 15px; background: url(images/templatemo_sidebar_box_top.png) top repeat-x; } .sidebar_box img { border: 1px solid #999; margin-bottom: 5px; } .sidebar_box .discount { margin: 5px 0 0 0; font-weight: bold; } .sidebar_box .discount span { color: #C00; } .left_sidebar_box .discount a { font-weight: bold; color: #000; } .sidebar_box .categories_list { margin: 0; padding: 0; list-style: none; } .categories_list li { padding: 0; margin: 0; } .categories_list li a { display: block; color: #201f1c; padding: 5px 0 5px 20px; background: url(images/list.png) center left no-repeat; } .categories_list li a:hover { color: #439ac3; text-decoration: none; } .news_box { clear: both; margin-bottom: 5px; padding-bottom: 5px; border-bottom: 1px solid #999; } .news_box h4 { padding: 2px 0; margin: 0; } .news_box h4 a { font-size: 12px; font-weight: normal; color: #1893f2; } newsletter_box label { display: block; margin-bottom: 10px; } newsletter_box .input_field { height: 20px; width: 155px; padding: 0 5px; margin-bottom: 10px; color: #000000; font-size: 12px; font-variant: normal; line-height: normal; } newsletter_box .submit_btn { float: right; height: 30px; width: 80px; margin: 0px; padding: 3px 0 15px 0; cursor: pointer; font-size: 12px; text-align: center; vertical-align: bottom; white-space: pre; outline: none; } .product_box { float: left; width: 223px; padding: 10px; margin-bottom: 20px; border: 1px solid #CCC; text-align: center; } .product_box img { margin-bottom: 10px; } .product_box h3 { color: #2a2522; font-size: 12px; margin: 0 0 10px; } .product_box p { margin-bottom: 10px; } .product_box p span { color: #cf5902; font-size: 14px; font-weight: bold; } .product_box .detail { float: right; } .product_box .addtocard { float: left; font-weight: bold; padding-right: 20px; background: url(images/templatemo_shopping_cart.png) bottom right no-repeat; } /* end of content */ /* footer */ templatemo_footer_wrapper { background: url(images/templatemo_footer.png) repeat-x; } templatemo_footer { width: 910px; height: 85px; padding: 50px 40px 30px 40px; margin: 0 auto; text-align: center; color: #a9a098; } templatemo_footer a { color: #d7d1cc; font-weight: normal; } templatemo_footer a:hover { text-decoration: none; color: #FFFF33; } templatemo_footer .footer_menu { margin: 0 0 30px 0; padding: 0px; list-style: none; } .footer_menu li { margin: 0px; padding: 0 20px; display: inline; border-right: 1px solid #d7d1cc; } .footer_menu li a { color: #d7d1cc; } .footer_menu .last_menu { border: none; } /* end of footer */ /twitter/ twitter_div {border-top: 0px;} twitter_div a {color: #0000ff !important;} twitter_update_list {margin-left: -1em !important; margin-bottom: 0px !important;} twitter_update_list li {list-style-type: none; padding-right: 5px; } twitter_update_list li a {color: #0000ff; padding-right: 5px;} twitter_div {border-bottom: 0px; padding-bottom: 10px; padding-top:6px; padding-right: 5px;} twitter_div a, #twitter_update_list li a {text-decoration: none !important;} twitter_div a:hover, #twitter_update_list li a:hover {text-decoration:underline !important;}

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  • Fun with Aggregates

    - by Paul White
    There are interesting things to be learned from even the simplest queries.  For example, imagine you are given the task of writing a query to list AdventureWorks product names where the product has at least one entry in the transaction history table, but fewer than ten. One possible query to meet that specification is: SELECT p.Name FROM Production.Product AS p JOIN Production.TransactionHistory AS th ON p.ProductID = th.ProductID GROUP BY p.ProductID, p.Name HAVING COUNT_BIG(*) < 10; That query correctly returns 23 rows (execution plan and data sample shown below): The execution plan looks a bit different from the written form of the query: the base tables are accessed in reverse order, and the aggregation is performed before the join.  The general idea is to read all rows from the history table, compute the count of rows grouped by ProductID, merge join the results to the Product table on ProductID, and finally filter to only return rows where the count is less than ten. This ‘fully-optimized’ plan has an estimated cost of around 0.33 units.  The reason for the quote marks there is that this plan is not quite as optimal as it could be – surely it would make sense to push the Filter down past the join too?  To answer that, let’s look at some other ways to formulate this query.  This being SQL, there are any number of ways to write logically-equivalent query specifications, so we’ll just look at a couple of interesting ones.  The first query is an attempt to reverse-engineer T-SQL from the optimized query plan shown above.  It joins the result of pre-aggregating the history table to the Product table before filtering: SELECT p.Name FROM ( SELECT th.ProductID, cnt = COUNT_BIG(*) FROM Production.TransactionHistory AS th GROUP BY th.ProductID ) AS q1 JOIN Production.Product AS p ON p.ProductID = q1.ProductID WHERE q1.cnt < 10; Perhaps a little surprisingly, we get a slightly different execution plan: The results are the same (23 rows) but this time the Filter is pushed below the join!  The optimizer chooses nested loops for the join, because the cardinality estimate for rows passing the Filter is a bit low (estimate 1 versus 23 actual), though you can force a merge join with a hint and the Filter still appears below the join.  In yet another variation, the < 10 predicate can be ‘manually pushed’ by specifying it in a HAVING clause in the “q1” sub-query instead of in the WHERE clause as written above. The reason this predicate can be pushed past the join in this query form, but not in the original formulation is simply an optimizer limitation – it does make efforts (primarily during the simplification phase) to encourage logically-equivalent query specifications to produce the same execution plan, but the implementation is not completely comprehensive. Moving on to a second example, the following query specification results from phrasing the requirement as “list the products where there exists fewer than ten correlated rows in the history table”: SELECT p.Name FROM Production.Product AS p WHERE EXISTS ( SELECT * FROM Production.TransactionHistory AS th WHERE th.ProductID = p.ProductID HAVING COUNT_BIG(*) < 10 ); Unfortunately, this query produces an incorrect result (86 rows): The problem is that it lists products with no history rows, though the reasons are interesting.  The COUNT_BIG(*) in the EXISTS clause is a scalar aggregate (meaning there is no GROUP BY clause) and scalar aggregates always produce a value, even when the input is an empty set.  In the case of the COUNT aggregate, the result of aggregating the empty set is zero (the other standard aggregates produce a NULL).  To make the point really clear, let’s look at product 709, which happens to be one for which no history rows exist: -- Scalar aggregate SELECT COUNT_BIG(*) FROM Production.TransactionHistory AS th WHERE th.ProductID = 709;   -- Vector aggregate SELECT COUNT_BIG(*) FROM Production.TransactionHistory AS th WHERE th.ProductID = 709 GROUP BY th.ProductID; The estimated execution plans for these two statements are almost identical: You might expect the Stream Aggregate to have a Group By for the second statement, but this is not the case.  The query includes an equality comparison to a constant value (709), so all qualified rows are guaranteed to have the same value for ProductID and the Group By is optimized away. In fact there are some minor differences between the two plans (the first is auto-parameterized and qualifies for trivial plan, whereas the second is not auto-parameterized and requires cost-based optimization), but there is nothing to indicate that one is a scalar aggregate and the other is a vector aggregate.  This is something I would like to see exposed in show plan so I suggested it on Connect.  Anyway, the results of running the two queries show the difference at runtime: The scalar aggregate (no GROUP BY) returns a result of zero, whereas the vector aggregate (with a GROUP BY clause) returns nothing at all.  Returning to our EXISTS query, we could ‘fix’ it by changing the HAVING clause to reject rows where the scalar aggregate returns zero: SELECT p.Name FROM Production.Product AS p WHERE EXISTS ( SELECT * FROM Production.TransactionHistory AS th WHERE th.ProductID = p.ProductID HAVING COUNT_BIG(*) BETWEEN 1 AND 9 ); The query now returns the correct 23 rows: Unfortunately, the execution plan is less efficient now – it has an estimated cost of 0.78 compared to 0.33 for the earlier plans.  Let’s try adding a redundant GROUP BY instead of changing the HAVING clause: SELECT p.Name FROM Production.Product AS p WHERE EXISTS ( SELECT * FROM Production.TransactionHistory AS th WHERE th.ProductID = p.ProductID GROUP BY th.ProductID HAVING COUNT_BIG(*) < 10 ); Not only do we now get correct results (23 rows), this is the execution plan: I like to compare that plan to quantum physics: if you don’t find it shocking, you haven’t understood it properly :)  The simple addition of a redundant GROUP BY has resulted in the EXISTS form of the query being transformed into exactly the same optimal plan we found earlier.  What’s more, in SQL Server 2008 and later, we can replace the odd-looking GROUP BY with an explicit GROUP BY on the empty set: SELECT p.Name FROM Production.Product AS p WHERE EXISTS ( SELECT * FROM Production.TransactionHistory AS th WHERE th.ProductID = p.ProductID GROUP BY () HAVING COUNT_BIG(*) < 10 ); I offer that as an alternative because some people find it more intuitive (and it perhaps has more geek value too).  Whichever way you prefer, it’s rather satisfying to note that the result of the sub-query does not exist for a particular correlated value where a vector aggregate is used (the scalar COUNT aggregate always returns a value, even if zero, so it always ‘EXISTS’ regardless which ProductID is logically being evaluated). The following query forms also produce the optimal plan and correct results, so long as a vector aggregate is used (you can probably find more equivalent query forms): WHERE Clause SELECT p.Name FROM Production.Product AS p WHERE ( SELECT COUNT_BIG(*) FROM Production.TransactionHistory AS th WHERE th.ProductID = p.ProductID GROUP BY () ) < 10; APPLY SELECT p.Name FROM Production.Product AS p CROSS APPLY ( SELECT NULL FROM Production.TransactionHistory AS th WHERE th.ProductID = p.ProductID GROUP BY () HAVING COUNT_BIG(*) < 10 ) AS ca (dummy); FROM Clause SELECT q1.Name FROM ( SELECT p.Name, cnt = ( SELECT COUNT_BIG(*) FROM Production.TransactionHistory AS th WHERE th.ProductID = p.ProductID GROUP BY () ) FROM Production.Product AS p ) AS q1 WHERE q1.cnt < 10; This last example uses SUM(1) instead of COUNT and does not require a vector aggregate…you should be able to work out why :) SELECT q.Name FROM ( SELECT p.Name, cnt = ( SELECT SUM(1) FROM Production.TransactionHistory AS th WHERE th.ProductID = p.ProductID ) FROM Production.Product AS p ) AS q WHERE q.cnt < 10; The semantics of SQL aggregates are rather odd in places.  It definitely pays to get to know the rules, and to be careful to check whether your queries are using scalar or vector aggregates.  As we have seen, query plans do not show in which ‘mode’ an aggregate is running and getting it wrong can cause poor performance, wrong results, or both. © 2012 Paul White Twitter: @SQL_Kiwi email: [email protected]

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  • SPARC T4-4 Delivers World Record Performance on Oracle OLAP Perf Version 2 Benchmark

    - by Brian
    Oracle's SPARC T4-4 server delivered world record performance with subsecond response time on the Oracle OLAP Perf Version 2 benchmark using Oracle Database 11g Release 2 running on Oracle Solaris 11. The SPARC T4-4 server achieved throughput of 430,000 cube-queries/hour with an average response time of 0.85 seconds and the median response time of 0.43 seconds. This was achieved by using only 60% of the available CPU resources leaving plenty of headroom for future growth. The SPARC T4-4 server operated on an Oracle OLAP cube with a 4 billion row fact table of sales data containing 4 dimensions. This represents as many as 90 quintillion aggregate rows (90 followed by 18 zeros). Performance Landscape Oracle OLAP Perf Version 2 Benchmark 4 Billion Fact Table Rows System Queries/hour Users* Response Time (sec) Average Median SPARC T4-4 430,000 7,300 0.85 0.43 * Users - the supported number of users with a given think time of 60 seconds Configuration Summary and Results Hardware Configuration: SPARC T4-4 server with 4 x SPARC T4 processors, 3.0 GHz 1 TB memory Data Storage 1 x Sun Fire X4275 (using COMSTAR) 2 x Sun Storage F5100 Flash Array (each with 80 FMODs) Redo Storage 1 x Sun Fire X4275 (using COMSTAR with 8 HDD) Software Configuration: Oracle Solaris 11 11/11 Oracle Database 11g Release 2 (11.2.0.3) with Oracle OLAP option Benchmark Description The Oracle OLAP Perf Version 2 benchmark is a workload designed to demonstrate and stress the Oracle OLAP product's core features of fast query, fast update, and rich calculations on a multi-dimensional model to support enhanced Data Warehousing. The bulk of the benchmark entails running a number of concurrent users, each issuing typical multidimensional queries against an Oracle OLAP cube consisting of a number of years of sales data with fully pre-computed aggregations. The cube has four dimensions: time, product, customer, and channel. Each query user issues approximately 150 different queries. One query chain may ask for total sales in a particular region (e.g South America) for a particular time period (e.g. Q4 of 2010) followed by additional queries which drill down into sales for individual countries (e.g. Chile, Peru, etc.) with further queries drilling down into individual stores, etc. Another query chain may ask for yearly comparisons of total sales for some product category (e.g. major household appliances) and then issue further queries drilling down into particular products (e.g. refrigerators, stoves. etc.), particular regions, particular customers, etc. Results from version 2 of the benchmark are not comparable with version 1. The primary difference is the type of queries along with the query mix. Key Points and Best Practices Since typical BI users are often likely to issue similar queries, with different constants in the where clauses, setting the init.ora prameter "cursor_sharing" to "force" will provide for additional query throughput and a larger number of potential users. Except for this setting, together with making full use of available memory, out of the box performance for the OLAP Perf workload should provide results similar to what is reported here. For a given number of query users with zero think time, the main measured metrics are the average query response time, the median query response time, and the query throughput. A derived metric is the maximum number of users the system can support achieving the measured response time assuming some non-zero think time. The calculation of the maximum number of users follows from the well-known response-time law N = (rt + tt) * tp where rt is the average response time, tt is the think time and tp is the measured throughput. Setting tt to 60 seconds, rt to 0.85 seconds and tp to 119.44 queries/sec (430,000 queries/hour), the above formula shows that the T4-4 server will support 7,300 concurrent users with a think time of 60 seconds and an average response time of 0.85 seconds. For more information see chapter 3 from the book "Quantitative System Performance" cited below. -- See Also Quantitative System Performance Computer System Analysis Using Queueing Network Models Edward D. Lazowska, John Zahorjan, G. Scott Graham, Kenneth C. Sevcik external local Oracle Database 11g – Oracle OLAP oracle.com OTN SPARC T4-4 Server oracle.com OTN Oracle Solaris oracle.com OTN Oracle Database 11g Release 2 oracle.com OTN Disclosure Statement Copyright 2012, Oracle and/or its affiliates. All rights reserved. Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners. Results as of 11/2/2012.

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  • Checksum Transformation

    The Checksum Transformation computes a hash value, the checksum, across one or more columns, returning the result in the Checksum output column. The transformation provides functionality similar to the T-SQL CHECKSUM function, but is encapsulated within SQL Server Integration Services, for use within the pipeline without code or a SQL Server connection. As featured in The Microsoft Data Warehouse Toolkit by Joy Mundy and Warren Thornthwaite from the Kimbal Group. Have a look at the book samples especially Sample package for custom SCD handling. All input columns are passed through the transformation unaltered, those selected are used to generate the checksum which is passed out through a single output column, Checksum. This does not restrict the number of columns available downstream from the transformation, as columns will always flow through a transformation. The Checksum output column is in addition to all existing columns within the pipeline buffer. The Checksum Transformation uses an algorithm based on the .Net framework GetHashCode method, it is not consistent with the T-SQL CHECKSUM() or BINARY_CHECKSUM() functions. The transformation does not support the following Integration Services data types, DT_NTEXT, DT_IMAGE and DT_BYTES. ChecksumAlgorithm Property There ChecksumAlgorithm property is defined with an enumeration. It was first added in v1.3.0, when the FrameworkChecksum was added. All previous algorithms are still supported for backward compatibility as ChecksumAlgorithm.Original (0). Original - Orginal checksum function, with known issues around column separators and null columns. This was deprecated in the first SQL Server 2005 RTM release. FrameworkChecksum - The hash function is based on the .NET Framework GetHash method for object types. This is based on the .NET Object.GetHashCode() method, which unfortunately differs between x86 and x64 systems. For that reason we now default to the CRC32 option. CRC32 - Using a standard 32-bit cyclic redundancy check (CRC), this provides a more open implementation. The component is provided as an MSI file, however to complete the installation, you will have to add the transformation to the Visual Studio toolbox by hand. This process has been described in detail in the related FAQ entry for How do I install a task or transform component?, just select Checksum from the SSIS Data Flow Items list in the Choose Toolbox Items window. Downloads The Checksum Transformation is available for SQL Server 2005, SQL Server 2008 (includes R2) and SQL Server 2012. Please choose the version to match your SQL Server version, or you can install multiple versions and use them side by side if you have more than one version of SQL Server installed. Checksum Transformation for SQL Server 2005 Checksum Transformation for SQL Server 2008 Checksum Transformation for SQL Server 2012 Version History SQL Server 2012 Version 3.0.0.27 – SQL Server 2012 release. Includes upgrade support for both 2005 and 2008 packages to 2012. (5 Jun 2010) SQL Server 2008 Version 2.0.0.27 – Fix for CRC-32 algorithm that inadvertently made it sort dependent. Fix for race condition which sometimes lead to the error Item has already been added. Key in dictionary: '79764919' . Fix for upgrade mappings between 2005 and 2008. (19 Oct 2010) Version 2.0.0.24 - SQL Server 2008 release. Introduces the new CRC-32 algorithm, which is consistent across x86 and x64.. The default algorithm is now CRC32. (29 Oct 2008) Version 2.0.0.6 - SQL Server 2008 pre-release. This version was released by mistake as part of the site migration, and had known issues. (20 Oct 2008) SQL Server 2005 Version 1.5.0.43 – Fix for CRC-32 algorithm that inadvertently made it sort dependent. Fix for race condition which sometimes lead to the error Item has already been added. Key in dictionary: '79764919' . (19 Oct 2010) Version 1.5.0.16 - Introduces the new CRC-32 algorithm, which is consistent across x86 and x64. The default algorithm is now CRC32. (20 Oct 2008) Version 1.4.0.0 - Installer refresh only. (22 Dec 2007) Version 1.4.0.0 - Refresh for minor UI enhancements. (5 Mar 2006) Version 1.3.0.0 - SQL Server 2005 RTM. The checksum algorithm has changed to improve cardinality when calculating multiple column checksums. The original algorithm is still available for backward compatibility. Fixed custom UI bug with Output column name not persisting. (10 Nov 2005) Version 1.2.0.1 - SQL Server 2005 IDW 15 June CTP. A user interface is provided, as well as the ability to change the checksum output column name. (29 Aug 2005) Version 1.0.0 - Public Release (Beta). (30 Oct 2004) Screenshot

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  • Part 1 - Load Testing In The Cloud

    - by Tarun Arora
    Azure is fascinating, but even more fascinating is the marriage of Azure and TFS! Introduction Recently a client I worked for had 2 major business critical applications being delivered, with very little time budgeted for Performance testing, we immediately hit a bottleneck when the performance testing phase started, the in house infrastructure team could not support the hardware requirements in the short notice. It was suggested that the performance testing be performed on one of the QA environments which was a fraction of the production environment. This didn’t seem right, the team decided to turn to the cloud. The team took advantage of the elasticity offered by Azure, starting with a single test agent which was provisioned and ready for use with in 30 minutes the team scaled up to 17 test agents to perform a very comprehensive performance testing cycle. Issues were identified and resolved but the highlight was that the cost of running the ‘test rig’ proved to be less than if hosted on premise by the infrastructure team. Thank you for taking the time out to read this blog post, in the series of posts, I’ll try and cover the start to end of everything you need to know to use Azure to build your Test Rig in the cloud. But Why Azure? I have my own Data Centre… If the environment is provisioned in your own datacentre, - No matter what level of service agreement you may have with your infrastructure team there will be down time when the environment is patched - How fast can you scale up or down the environments (keeping the enterprise processes in mind) Administration, Cost, Flexibility and Scalability are the areas you would want to think around when taking the decision between your own Data Centre and Azure! How is Microsoft's Public Cloud Offering different from Amazon’s Public Cloud Offering? Microsoft's offering of the Cloud is a hybrid of Platform as a Service (PaaS) and Infrastructure as a Service (IaaS) which distinguishes Microsoft's offering from other providers such as Amazon (Amazon only offers IaaS). PaaS – Platform as a Service IaaS – Infrastructure as a Service Fills the needs of those who want to build and run custom applications as services. Similar to traditional hosting, where a business will use the hosted environment as a logical extension of the on-premises datacentre. A service provider offers a pre-configured, virtualized application server environment to which applications can be deployed by the development staff. Since the service providers manage the hardware (patching, upgrades and so forth), as well as application server uptime, the involvement of IT pros is minimized. On-demand scalability combined with hardware and application server management relieves developers from infrastructure concerns and allows them to focus on building applications. The servers (physical and virtual) are rented on an as-needed basis, and the IT professionals who manage the infrastructure have full control of the software configuration. This kind of flexibility increases the complexity of the IT environment, as customer IT professionals need to maintain the servers as though they are on-premises. The maintenance activities may include patching and upgrades of the OS and the application server, load balancing, failover clustering of database servers, backup and restoration, and any other activities that mitigate the risks of hardware and software failures.   The biggest advantage with PaaS is that you do not have to worry about maintaining the environment, you can focus all your time in solving the business problems with your solution rather than worrying about maintaining the environment. If you decide to use a VM Role on Azure, you are asking for IaaS, more on this later. A nice blog post here on the difference between Saas, PaaS and IaaS. Now that we are convinced why we should be turning to the cloud and why in specific Azure, let’s discuss about the Test Rig. The Load Test Rig – Topology Now the moment of truth, Of course a big part of getting value from cloud computing is identifying the most adequate workloads to take to the cloud, so I’ve decided to try to make a Load Testing rig where the Agents are running on Windows Azure.   I’ll talk you through the above Topology, - User: User kick starts the load test run from the developer workstation on premise. This passes the request to the Test Controller. - Test Controller: The Test Controller is on premise connected to the same domain as the developer workstation. As soon as the Test Controller receives the request it makes use of the Windows Azure Connect service to orchestrate the test responsibilities to all the Test Agents. The Windows Azure Connect endpoint software must be active on all Azure instances and on the Controller machine as well. This allows IP connectivity between them and, given that the firewall is properly configured, allows the Controller to send work loads to the agents. In parallel, the Controller will collect the performance data from the agents, using the traditional WMI mechanisms. - Test Agents: The Test Agents are on the Windows Azure Public Cloud, as soon as the test controller issues instructions to the test agents, the test agents start executing the load tests. The HTTP requests are issued against the web server on premise, the results are captured by the test agents. And finally the results are passed over to the controller. - Servers: The Web Server and DB Server are hosted on premise in the datacentre, this is usually the case with business critical applications, you probably want to manage them your self. Recap and What’s next? So, in the introduction in the series of blog posts on Load Testing in the cloud I highlighted why creating a test rig in the cloud is a good idea, what advantages does Windows Azure offer and the Test Rig topology that I will be using. I would also like to mention that i stumbled upon this [Video] on Azure in a nutshell, great watch if you are new to Windows Azure. In the next post I intend to start setting up the Load Test Environment and discuss pricing with respect to test agent machine types that will be used in the test rig. Hope you enjoyed this post, If you have any recommendations on things that I should consider or any questions or feedback, feel free to add to this blog post. Remember to subscribe to http://feeds.feedburner.com/TarunArora.  See you in Part II.   Share this post : CodeProject

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