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  • Beginner Geek: Scan Files for Viruses Before Using Them

    - by Mysticgeek
    To help avoid getting your computer infected by malicious software, it’s a good idea to scan files before executing them. Today we take a look at a couple of options that will let you scan files easily from your desktop. Scan File with Your Antivirus Software Most Antivirus software will put an option in the context menu so you can scan individual files. After downloading a file or email attachment, simply right-click the file and select the option to scan with your Antivirus software. If you want to scan more than one at a time, hold down the Ctrl key while you clicking each file you want to scan. Then right-click and select to scan with your Antivirus software. Here is our favorite Antivirus app, Microsoft Security Essentials scanning a couple of files. If a virus is found, your Antivirus app will delete it or put it in Quarantine so it cannot infect your system. Using VirusTotal Uploader To be very thorough and want a second opinion (actually 41), then you might want to check out the VirusTotal Uploader. This handy app will scan your files with 41 different Antivirus apps online. After installing VirusTotal Uploader, right-click the file, go to Send To, then VirusTotal. Alternately you can launch VirusTotal Uploader and Get and upload the file. It will send the file to VirusTotal.com and scan it with 41 different Antivirus apps and show you the results.   If you don’t want to install the Uploader, you can go to the VirusTotal site and upload a file from there to scan. We’ve noticed that occasionally there will be a false positive detected on files we know are clean. Sometimes the definition database of an Anti-malware app isn’t current, or an obscure Antivirus App will find something questionable. If that is the case, use your best judgment when viewing the results. Conclusion Most Antivirus apps today have real-time scanning and should be able to detect possible infections before you’re able to execute them. However, if they don’t or when in doubt, following these tips can save you a lot of headaches in the long run. If you use a lot of different flash drives throughout the day, check out our article on how to scan a thumb drive for viruses from the AutoPlay Dialog. Download Microsoft Security Essentials Download VirusTotal Uploader VirusTotal Website Similar Articles Productive Geek Tips Scan Files for Viruses Before You Download With Dr.WebMake Microsoft Security Essentials Scan Faster by Excluding Certain File TypesBeginner Geek: Delete User Accounts in Windows 7Scan Your Thumb Drive for Viruses from the AutoPlay DialogSecure Computing: Free Anti-Virus Protection With AVG Free Edition TouchFreeze Alternative in AutoHotkey The Icy Undertow Desktop Windows Home Server – Backup to LAN The Clear & Clean Desktop Use This Bookmarklet to Easily Get Albums Use AutoHotkey to Assign a Hotkey to a Specific Window Latest Software Reviews Tinyhacker Random Tips Xobni Plus for Outlook All My Movies 5.9 CloudBerry Online Backup 1.5 for Windows Home Server Snagit 10 Video preview of new Windows Live Essentials 21 Cursor Packs for XP, Vista & 7 Map the Stars with Stellarium Use ILovePDF To Split and Merge PDF Files TimeToMeet is a Simple Online Meeting Planning Tool Easily Create More Bookmark Toolbars in Firefox

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  • My Take on Hadoop World 2011

    - by Jean-Pierre Dijcks
    I’m sure some of you have read pieces about Hadoop World and I did see some headlines which were somewhat, shall we say, interesting? I thought the keynote by Larry Feinsmith of JP Morgan Chase & Co was one of the highlights of the conference for me. The reason was very simple, he addressed some real use cases outside of internet and ad platforms. The following are my notes, since the keynote was recorded I presume you can go and look at Hadoopworld.com at some point… On the use cases that were mentioned: ETL – how can I do complex data transformation at scale Doing Basel III liquidity analysis Private banking – transaction filtering to feed [relational] data marts Common Data Platform – a place to keep data that is (or will be) valuable some day, to someone, somewhere 360 Degree view of customers – become pro-active and look at events across lines of business. For example make sure the mortgage folks know about direct deposits being stopped into an account and ensure the bank is pro-active to service the customer Treasury and Security – Global Payment Hub [I think this is really consolidation of data to cross reference activity across business and geographies] Data Mining Bypass data engineering [I interpret this as running a lot of a large data set rather than on samples] Fraud prevention – work on event triggers, say a number of failed log-ins to the website. When they occur grab web logs, firewall logs and rules and start to figure out who is trying to log in. Is this me, who forget his password, or is it someone in some other country trying to guess passwords Trade quality analysis – do a batch analysis or all trades done and run them through an analysis or comparison pipeline One of the key requests – if you can say it like that – was for vendors and entrepreneurs to make sure that new tools work with existing tools. JPMC has a large footprint of BI Tools and Big Data reporting and tools should work with those tools, rather than be separate. Security and Entitlement – how to protect data within a large cluster from unwanted snooping was another topic that came up. I thought his Elephant ears graph was interesting (couldn’t actually read the points on it, but the concept certainly made some sense) and it was interesting – when asked to show hands – how the audience did not (!) think that RDBMS and Hadoop technology would overlap completely within a few years. Another interesting session was the session from Disney discussing how Disney is building a DaaS (Data as a Service) platform and how Hadoop processing capabilities are mixed with Database technologies. I thought this one of the best sessions I have seen in a long time. It discussed real use case, where problems existed, how they were solved and how Disney planned some of it. The planning focused on three things/phases: Determine the Strategy – Design a platform and evangelize this within the organization Focus on the people – Hire key people, grow and train the staff (and do not overload what you have with new things on top of their day-to-day job), leverage a partner with experience Work on Execution of the strategy – Implement the platform Hadoop next to the other technologies and work toward the DaaS platform This kind of fitted with some of the Linked-In comments, best summarized in “Think Platform – Think Hadoop”. In other words [my interpretation], step back and engineer a platform (like DaaS in the Disney example), then layer the rest of the solutions on top of this platform. One general observation, I got the impression that we have knowledge gaps left and right. On the one hand are people looking for more information and details on the Hadoop tools and languages. On the other I got the impression that the capabilities of today’s relational databases are underestimated. Mostly in terms of data volumes and parallel processing capabilities or things like commodity hardware scale-out models. All in all I liked this conference, it was great to chat with a wide range of people on Oracle big data, on big data, on use cases and all sorts of other stuff. Just hope they get a set of bigger rooms next time… and yes, I hope I’m going to be back next year!

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  • Tablet design guide, Endeca patterns now available

    - by JuergenKress
    UX Direct, an Oracle program that offers consultants, partners, and customers the same scientifically proven and reusable user experience best practices that Oracle uses to build Oracle Applications, recently added links to a new design guide for creating tablet-based solutions for enterprise applications, and to the recently published Endeca User Interface Design Pattern Library. The tablet design guide is available from the UX Direct Home page. Tap the button under “Latest patterns & tools” for “Oracle Applications UX Tablet Guide.” It provides basic help for designers, developers, and project managers trying to approach tablet design and testing from an enterprise point of view. To hear what developers are saying about it, follow the links from this post on the User Experience Assistance blog. The newly released Endeca User Interface Design Pattern Library is also available from the UX Direct Home page and from a post on the User Experience Assistance blog. It describes principled ways to solve common user interface (UI) design problems related to search, faceted navigation, and discovery. The link between Simplified UI and Oracle UX strategy, plus content you can share on the cloud, ADf, tailoring, and more Simplified User Interface in Oracle Fusion Applications Fronts Oracle Cloud Offerings This new article on Simplified UI has just been posted on Usable Apps. Learn about the three themes - simplicity, mobility, and extensibility – that Simplified UI embodies. These same principles are guiding the development of the next generation of the Oracle user experience. Oracle's Applications User Experience Strategy: One Cloud User Experience, with Optimized UIs Where and How You Want This podcast from Misha Vaughan, Director, User Experience, is now available on the Oracle University Knowledge Center. It is available for partners and Oracle employees at this iLearning Link. Oracle Partner Builds User Experience That Hits Right Note for New Employees This new article on the Usable Apps website explores the experience of consultants at IntraSee as they implement a PeopleSoft onboarding process for Invesco, a global asset management company. The Feng Shui of Fusion This article in Oracle Scene is from Grant Ronald, Director of Product Management, on the Tools of Fusion: Oracle JDeveloper and Oracle ADF. Hands-On Workshop with Fusion Applications and ADF UX Desktop Design Patterns This post on the Voice of User Experience, or VoX, blog from Misha Vaughan describes a new kind of workshop for partners and a handful of internal Oracle sales folks on extending Oracle Fusion Applications and building custom applications with Application Development Framework (ADF) while maintaining the Oracle user experience. To learn more about the content that was delivered during this three-day workshop, visit the Usable Apps blog. Recent posts from a new blog series take a look at several of the topics discussed during the workshop. Applications User Experience Fundamentals Visual Design for any Enterprise User Interface / Art School in a Box Wireframing / Blueprinting Usable Applications Concepts. Tailoring videos This blog post from Richard Bingham, Applications Architect, on the Fusion Applications Developer Relations blog provides links to several videos that show many customization and development tasks using the Oracle Fusion Applications platform. SOA & BPM Partner Community For regular information on Oracle SOA Suite become a member in the SOA & BPM Partner Community for registration please visit www.oracle.com/goto/emea/soa (OPN account required) If you need support with your account please contact the Oracle Partner Business Center. Blog Twitter LinkedIn Facebook Wiki Mix Forum Technorati Tags: UX,Architecture,SOA Community,Oracle SOA,Oracle BPM,Community,OPN,Jürgen Kress

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  • Bad Spot to Be In: Playing Catch-up with Mobile Advertising

    - by Mike Stiles
    You probably noticed, there’s a mass migration going on from online desktop/laptop usage to smartphone/tablet usage.  It’s an indicator of how we live our lives in the modern world: always on the go, with no intention of being disconnected while out there. Consequently, paid as it relates to mobile advertising is taking the social spotlight. eMarketer estimated that in 2013, US adults would spend about 2 hours, 21 minutes a day on mobile, not counting talking time. More people in the world own smartphones than own toothbrushes (bad news I suppose if you’re marketing toothpaste). They’re using those mobile devices to access social networks, consuming at least 17% of their mobile time on them. Frankly, you don’t need a deep dive into mobile usage stats to know what’s going on. Just look around you in any store, venue or coffee shop. It’s really obvious…our mobile devices are now where we “are,” so that’s where marketers can increasingly reach us. And it’s a smart place for them to do just that. Mobile devices can be viewed more and more as shopping facilitators. Usually when someone is on mobile, they are not in passive research mode. They are likely standing near a store or in front of a product, using their mobile to seek reassurance that buying that product is the right move. They are the hottest of hot prospects. Consider that 4 out of 5 consumers use smartphones to shop, 52% of Americans use mobile devices for in-store for research, 70% of mobile searches lead to online action inside of an hour, and people that find you on mobile convert at almost 3x the rate as those that find you on desktop or laptop. But what are marketers doing? Enter statistics from Mary Meeker’s latest State of the Internet report. Common sense says you buy advertising where people are spending their eyeball time, right? But while mobile is 20% of media use and rising, the ad spend there is 4%. Conversely, while print usage is at 5% and falling, ad spend there is 19%. We all love nostalgia, but come on. There are reasons marketing dollar migration to mobile has not matched user migration, including the availability of mobile ad products and the ability to measure user response to mobile ads. But interesting things are happening now. First came Facebook’s mobile ad, which let app developers pay to get potential downloads. Then their mobile ad network was announced at F8, allowing marketers to target users across non-Facebook apps while leveraging the wealth of diverse data Facebook has on those users, a big deal since Nielsen has pointed out mobile apps make up 89% of the media time spent on mobile. Twitter has a similar play in motion with their MoPub acquisition. And now mobile deeplinks have arrived, which can take users straight to sub-pages of mobile apps for a faster, more direct shopper/researcher user experience. The sooner the gratification, the smoother and faster the conversion. To be clear, growth in mobile ad spending is well underway. After posting $13.1 billion in 2013, Gartner expects global mobile ad spending to reach $18 billion this year, then go to $41.9 billion by 2017. Cheap smartphones and data plans are spreading worldwide, further fueling the shift to mobile. Mobile usage in India alone should grow 400% by 2018. And, of course, there’s the famous statistic that mobile should overtake desktop Internet usage this year. How can we as marketers mess up this opportunity? Two ways. We could position ourselves in perpetual “catch-up” mode and keep spending ad dollars where the public used to be. And we could annoy mobile users with horrid old-school marketing practices. Two-thirds of users told Forrester they think interruptive in-app ads are more annoying than TV ads. Make sure your brand’s social marketing technology platform is delivering a crystal clear picture of your social connections so the mobile touch point is highly relevant, mobile optimized, and delivering real value and satisfying experiences. Otherwise, all we’ve done is find a new way to be unwanted. @mikestiles @oraclesocialPhoto: Kate Mallatratt, freeimages.com

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  • Moving the Oracle User Experience Forward with the New Release 7 Simplified UI for Oracle Sales Cloud

    - by mvaughan
    By Kathy Miedema, Oracle Applications User ExperienceIn September 2013, Release 7 for Oracle Cloud Applications became generally available for Oracle Sales Cloud and HCM Cloud. This significant release allowed the Oracle Applications User Experience (UX) team to finally talk freely about Simplified UI, a user experience project in the works since Oracle OpenWorld 2012. Simplified UI represents the direction that the Oracle user experience – for all of its enterprise applications – is heading. Oracle’s Apps UX team began by building a Simplified UI for sales representatives. You can find that today in Release 7, and it was demoed extensively during OpenWorld 2013 in San Francisco. This screenshot shows how Opportunities appear in the new Simplified UI for Oracle Sales Cloud, a user interface built for sales reps.Analyst Rebecca Wettemann, vice president of Nucleus Research, saw Simplified UI at Oracle Openworld 2013 and talked about it with CRM Buyer in “Oracle Revs Its Cloud Engines for a Better Customer Experience.” Wettemann said there are distinct themes to the latest release: "One is usability. Oracle Sales Cloud, for example, is designed to have zero training for onboarding sales reps, which it does," she explained. "It is quite impressive, actually -- the intuitive nature of the application and the design work they have done with this goal in mind."The software uses as few buttons and fields as possible, she pointed out. "The sales rep doesn't have to ask, 'what is the next step?' because she can see what it is."In fact, there are three themes driving the usability that Wettemann noted. They are simplicity, mobility, and extensibility, and we write more about them on the Usable Apps web site. These three themes embody the strategy for Oracle’s cloud applications user experiences.  Simplified UI for Oracle Sales CloudIn developing a Simplified UI for Oracle Sales Cloud, Oracle’s UX team concentrated on the tasks that sales reps need to do most frequently, and are most important. “Knowing that the majority of their work lives are spent on the road and on the go, they need to be able to quickly get in and qualify and convert their leads, monitor and progress their opportunities, update their customer and contact information, and manage their schedule,” Jeremy Ashley, Vice President of the Applications UX team, said.Ashley said the Apps UX team has a good reason for creating a Simplified UI that focuses on self-service. “Sales people spend the day selling stuff,” he said. “The only reason they use software is because the company wants to track what they’re doing.” Traditional systems of tracking that information include filling in a spreadsheet of leads or sales. Oracle wants to automate this process for the salesperson, and enable that person to keep everyone who needs to know up-to-date easily and quickly. Simplified UI addresses that problem by providing light-touch input.  “It has to be useful to the salesperson,” Ashley said about the Sales Cloud user experience. Simplified UI can tell sales reps about key opportunities, or provide information about a contact in just a click or two. Customer information is accessible quickly and easily with Simplified UI for the Oracle Sales Cloud.Simplified UI for Sales Cloud can also be extended easily, Ashley said. Users usually just need to add various business fields or create and modify analytical reports. The way that Simplified UI is constructed allows extensibility to happen by hiding or showing a few necessary fields. The Settings user interface, starting in release 7, allows for the simple configuration of the most important visual elements. “With Sales cloud, we identified a need to make the application useful and very simple,” Ashley said. Simplified UI meets that need. Where can you find out more?To find out more about the simplified UI and Oracle’s ongoing investment in applications user experience innovations, come to one of our sessions at a user group conference near you. Stay tuned to the Voice of User Experience (VoX) blog – the next post will be about Simplified UI and HCM Cloud.

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  • Visual Studio 2010 Best Practices

    - by Etienne Tremblay
    I’d like to thank Packt for providing me with a review version of Visual Studio 2010 Best Practices eBook. In fairness I also know the author Peter having seen him speak at DevTeach on many occasions.  I started by looking at the table of content to see what this book was about, knowing that “best practices” is a real misnomer I wanted to see what they were.  I really like the fact that he starts the book by really saying they are not really best practices but actually recommend practices.  As a Team Foundation Server user I found that chapter 2 was more for the open source crowd and I really skimmed it.  The portion on Branching was well documented, although I’m not a fan of the testing branch myself, but the rest was right on. The section on merge remote changes (bring the outside to you) paradigm is really important and was touched on. Chapter 3 has good solid practices on low level constructs like generics and exceptions. Chapter 4 dives into architectural practices like decoupling, distributed architecture and data based architecture.  DTOs and ORMs are touched on briefly as is NoSQL. Chapter 5 is about deployment and is really a great primer on all the “packaging” technologies like Visual Studio Setup and Deployment (depreciated in 2012), Click Once and WIX the major player outside of commercial solutions.  This is a nice section on how to move from VSSD to WIX this is going to be important in the coming years due to the fact that VS 2012 doesn’t support VSSD. In chapter 6 we dive into automated testing practices, including test coverage, mocking, TDD, SpecDD and Continuous Testing.  Peter covers all those concepts really nicely albeit succinctly. Being a book on recommended practices I find this is really good. I really enjoyed chapter 7 that gave me a lot of great tips to enhance my Visual Studio “experience”.  Tips on organizing projects where good.  Also even though I knew about configurations I like that he put that in there so you can move all your settings to another machine, a lot of people don’t know about that. Quick find and Resharper are also briefly covered.  He touches on macros (depreciated in 2012).  Finally he touches on Continuous Integration a very important concept in today’s ALM landscape. Chapter 8 is all about Parallelization, threads, Async, division of labor, reactive extensions.  All those concepts are touched on and again generalized approaches to those modern problems are giving.       Chapter 9 goes into distributed apps, the most used and accepted practice in the industry for .NET projects the chapter tackles concepts like Scalability, Messaging and Cloud (the flavor of the month of distributed apps, although I think this will stick ;-)).  He also looks a protocols TCP/UDP and how to debug distributed apps.  He touches on logging and health monitoring. Chapter 10 tackles recommended practices for web services starting with implementing WCF services, which goes into all sort of goodness like how to host in IIS or self-host.  How to manual test WCF services, also a section on authentication and authorization.  ASP.NET Web services are also touched on in that chapter All in all a good read, nice tips and accepted practices.  I like the conciseness of the subjects and Peter touches on a lot of things in this book and uses a lot of the current technologies flavors to explain the concepts.   Cheers, ET

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  • Windows 8 Camp&ndash;Ways to Prepare

    - by Lori Lalonde
    When Windows 8 was announced at the BUILD conference back in September, it created quite a buzz among the developer community. By the spring of 2012,  Windows 8 Developer Camps started popping up everywhere imaginable. I received a lot of questions from CTTDNUG members about whether or not we would be hosting one locally. If you recall my post about the Windows Phone/Azure Developer Workshop that CTTDNUG hosted back in March, you’ll remember that the biggest hurdle to overcome when planning this type of event was finding the right venue. It took some time, but I finally found a venue that was available and provided the prerequisites needed to ensure this camp is a success. I am very excited that CTTDNUG will be hosting a Windows 8 Camp this summer in the Kitchener/Waterloo area. In fact, it’s coming up in less than 2 weeks. Clearly other developers are excited as well, because our registration numbers show that the event is already 70% full! On top of that, I was fortunate enough to also book two well-known evangelists to present and teach at this full day developer camp: Andrei Marukovich and Atley Hunter. This was the icing on the cake. With the content provided by Microsoft, and two local experts that live and breathe Windows 8 development, I know that I, along with other developers that attend this event, will have the opportunity to maximize our learning potential and hit the ground running. If you plan on attending a Windows 8 Developer Camp soon, and want to ensure you get the most “bang for your buck” (figuratively speaking, since these camps are free), there are some things you can do to prepare before the big day: 1) Install the prerequisites on your own device before the big day I can’t stress this enough. Otherwise, you will be spending valuable time during the hands-on period downloading and installing what is needed, rather than digging into the development and using that time to ask the experts on-hand about programming challenges, issues, questions you may have with respect to your development. Prerequisites: Windows 8 Release Preview Visual Studio 2012 RC Download the Windows 8 SDK Samples 2) Purchase, download, and read Charles Petzold’s newest book:  Programming Windows 6th Edition This is a great introduction to the type of content you will be learning about during the camp. Doing some light reading beforehand might raise some questions about the concepts discussed in the book, which will give you the opportunity to write them down and bring them with you to the camp. The experts on hand will be able to answer them for you. 3) Make use of the freebies that are available Telerik has recently released a preview of their RadControls for Metro. You can sign up to receive a license code to give you access to install the preview for free and start playing around with it. Syncfusion also offers a free download of their Metro Studio package, which is a collection of metro style icons that you can customize and use in your own applications. Last but not least, once you’ve installed the Windows 8 Release Preview on your own device, go to the Windows 8 Store and download a handful of the free apps that are available. Testing out other Metro apps may give you ideas of what you can do in your own apps and analyze what features you like: application flow, type of animations used, concepts that were leveraged, how live tiles were used, etc. I hope you found these tips to be useful as you embark on a new development journey! Although this post focused on how to prepare for a Windows 8 camp, the same ideas are there whichever developer camp/workshop/event you attend. Learning does not begin and end on the day of the event. Attending a developer camp is just one step of many to master whatever technology you are interested in. It is a continuous process, which is fully maximized when you do your homework beforehand, actively participate during,  and follow up by putting what you learned to practice afterwards. Happy coding!

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  • Webcast Q&A: Demystifying External Authorization

    - by B Shashikumar
    Thanks to everyone who joined us on our webcast with SANS Institute on "Demystifying External Authorization". Also a special thanks to Tanya Baccam from SANS for sharing her experiences reviewing Oracle Entitlements Server. If you missed the webcast, you can catch a replay of the webcast here.  Here is a compilation of the slides that were used on today's webcast.  SANS Institute Product Review: Oracle Entitlements Server We have captured the Q&A from the webcast for those who couldn't attend. Q: Is Oracle ADF integrated with Oracle Entitlements Server (OES) ? A:  In Oracle Fusion Middleware 11g and later, Oracle ADF, Oracle WebCenter, Oracle SOA Suite and other middleware products are all built on Oracle Platform Security Services (OPSS). OPSS privodes many security functions like authentication, audit, credential stores, token validaiton, etc. OES is the authorization solution underlying OPSS. And OES 11g unifies different authorization mechanisms including Java2/ABAC/RBAC.  Q: Which portal frameworks support the use of OES policies for portal entitlement decisions? A:  Many portals including Oracle WebCenter 11g  run natively on top of OES. The authorization engine in WebCenter is OES. Besides, OES offers out of the box integration with Microsoft SharePoint. So SharePoint sites, sub sites, web parts, navigation items, document access control can all be secured with OES. Several other portals have also been secured with OES ex: IBM websphere portal Q:  How do we enforce Seperation of Duties (SoD) rules using OES (also how does that integrate with a product like OIA) ? A:  A product like OIM or OIA can be used to set up and govern SoD policies. OES enforces these policies at run time. Role mapping policies in OES can assign roles dynamically to users under certain conditions. So this makes it simple to enforce SoD policies inside an application at runtime. Q:  Our web application has objects like buttons, text fields, drop down lists etc. is there any ”autodiscovery” capability that allows me to use/see those web page objects so you can start building policies over those objects? or how does it work? A:  There ae few different options with OES. When you build an app, and make authorization calls with the app in the test environment, you can put OES in discovery mode and have OES register those authorization calls and decisions. Instead of doing  this after the fact, an application like Oracle iFlex has built-in UI controls where when the app is running, a script can intercept authorization calls and migrate those over to OES. And in Oracle ADF, a lot of resources are protected so pages, task flows and other resources be registered without OES knowing about them. Q: Does current Oracle Fusion application use OES ? The documentation does not seem to indicate it. A:  The current version of Fusion Apps is using a preview version of OES. Soon it will be repalced with OES 11g.  Q: Can OES secure mobile apps? A: Absolutely. Nowadays users are bringing their own devices such as a a smartphone or tablet to work. With the Oracle IDM platform, we can tie identity context into the access management stack. With OES we can make use of context to enforce authorization for users accessing apps from mobile devices. For example: we can take into account different elements like authentication scheme, location, device type etc and tie all that information into an authorization decision.  Q:  Does Oracle Entitlements Server (OES) have an ESAPI implementation? A:  OES is an authorization solution. ESAPI/OWASP is something we include in our platform security solution for all oracle products, not specifically in OES Q:  ESAPI has an authorization API. Can I use that API to access OES? A:  If the API supports an interface / sspi model that can be configured to invoke an external authz system through some mechanism then yes

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  • History of Mobile Technology

    - by David Dorf
    Over the last ten years, mobile phones have gone through several incremental technology leaps that have added capabilities that impact the retail industry.  I've listed the six major ones below, along with their long-lasting impact. 1. Location In the US, the FCC required mobile phones to implement E911 (emergency calls) by 2006, requiring the caller to be located to within 300 meters.  Back in 2000, GPS was opened up for civilian use, and by 2004 Qualcomm had figured out how to use GPS in mobile phones.  So mobile operators moved from cell tower triangulation to GPS, principally for E911.  But then lots of other uses became apparent, especially navigation.  The earliest mobile apps from retailers made it easy to find nearby stores, and companies are looking at ways to use WiFi triangulation inside stores. 2. Computer Vision In 1997 Philippe Kahn shared a photo of his newborn using a mobile phone thus launching the popularity of instant visual communications.  Over the years the quality of the cameras got better, reaching the point where barcodes could be read around 2008.  That's when Occipital came on the scene with their Red Laser application, which was eventually acquired by eBay.  This opened up the ability for consumers to easily price compare inside stores.  Other interesting apps included Tesco's Wine Finder and Amazon's Price Checker, both allowing products to be identified by picture. 3. Augmented Reality Once the mobile phone had GPS, a video camera, and compass functionality it was suddenly possible to overlay digital information on the screen in real-time.  Yelp, which was using GPS to find nearby merchants, created a backdoor called Monocle on the iPhone that showed nearby merchants overlayed on the video camera view.  Today AR apps are mostly used by retailers for marketing, like Moosejaw's app that undresses models in their catalog. 4. Geo-Fencing So if we're able to track the location of a mobile phone, why not use that context to offer timely information?  My first experience with geo-fencing came courtesy of North Face, the outdoor enthusiast store. When a mobile phone enters a predetermined area, like near a store, a text message is sent to phone with an offer or useful information.  Of course retailers can geo-fence their competitors as well and find out which customers are aren't so loyal. 5. Digital Wallet Mobile payments leverage different technologies such as NFC, QRCodes, bluetooth, and SMS to facilitate communication between the consumers's phone and the retailer's point-of-sale. The key here is the potential to consolidate loyalty cards, coupons, and bank cards into the mobile phone and enable faster checkout.  Nobody does this better than Starbucks today, but McDonald's and Duncan Donuts aren't far behind.  Google, Isis, Paypal, Square, and MCX are all vying for leadership in this area.  If NFC does finally take off, it will be leveraged by retailers in more places than just the POS. 6. Voice Response Mobile Phones have had the ability to interpret simple voice commands for a while, but Google and Amazon were the first to use voice to allow searches for products.  Allowing searches by text, barcode, and voice makes it easy to comparison shop in the aisles.  Walmart even uses voice to build shopping lists, and if the Siri API is even opened we could see lots more innovation in this area.

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  • Openmatics Revolutionizes Fleet Management with Standards-Based Vehicle Telematics Platform

    - by Michael Snow
    Openmatics s.r.o. was founded in 2010 as a subsidiary of ZF Friedrichshafen AG, a global player in driveline and chassis technology. Oracle Customer:  Openmatics s.r.o.Location:  Pilsen, Czech RepublicIndustry:  AutomotiveEmployees:  70 Its goal was to develop and operate a flexible, open telematics platform for automotive applications, which is independent from vehicle and component suppliers—recognizing that the fragmented telematics market was not meeting today’s fleet management needs. Openmatics provides a rich product portfolio, and customers can extend the platform, as required, to meet their needs. Partners and third-parties can develop their own applications using the Openmatics’ software development kit and can sell them via the Openmatics app shop.ZF Friedrichshafen AG is a global player in driveline and chassis technology. With 121 production companies and 650 service partners in 26 countries, ZF is among the top 10 largest automotive suppliers worldwide. Founded in 1915 to develop and produce transmissions for airships and vehicles, the group’s product offerings now include transmissions and steering systems as well as chassis components and complete axle systems and modules.  A word from Openmatics s.r.o.  “Oracle WebCenter Portal, together with the underlying Oracle Application Development Framework, provided the fundamental infrastructure for the Openmatics platform. Fleet managers can now reduce fuel consumption and operating costs, and more efficiently manage vehicle usage, maintenance, and safety. The standards-based platform allows third-party suppliers to deploy their own vehicle telematics services as Openmatics apps and creates a de facto standard for the automotive industry, independent from a single manufacturer or service provider.” – Gero Strobel, Head of Development, Openmatics s.r.o. Challenges Create an industry standard for vehicle telematics by establishing a customizable platform that enables access to telematics information, such as current and past fuel consumption, through a web browser to better meet automotive market and customer needs Reduce fleet-management costs by eliminating the need to invest in isolated telematics hardware and software solutions per vehicle brand and vehicle component manufacturer Establish an open platform where third-party providers—such as original equipment manufacturers (OEM), insurers, fleet operators, and individual developers—can deploy their own vehicle telematics services Allow users to purchase targeted telematics services as single apps to reduce costs and ensure rapid growth of telematics services available on the platform Enable users to configure their telematics apps with ease to make sure the platform meets individual fleet management requirements, such as analyzing past and current fuel consumption of a truck fleet Solutions Deployed Oracle WebCenter Portal as a foundation for Openmatics, a standards-based automotive telematics platform that provides next-generation fleet management with unified digital communication from and to vehicles on the move Used Oracle Application Development Framework as the development framework for Oracle WebCenter Portal’s components and services, providing developers with ready-to-use software development kits with application programming interfaces, design templates, and visual tools that accelerated time to market Used Oracle Enterprise Pack for Eclipse to simplify telematics application development in Java Enabled fleet monitoring by recording vehicle data—such as fuel consumption information—through onboard units, delivering the information to Oracle Database, and making it accessible through a customizable app portfolio on any web browser Stored vehicle telematics data—sent as encrypted information—in Oracle Database, ensuring data integrity and immediate availability for the platform’s telematics applications Enabled a wide range of telematics services suppliers, from vehicle component manufacturers to fleet application developers, to offer vehicle telematics services on the Openmatics platform, ensuring platform independence from OEMs Provided Openmatics customers with the means to individually select the automotive telematics services that are relevant to their business requirements, eliminating the need to pay for superfluous information and reducing fleet management costs Oracle Products & Services Oracle Application Development Framework Oracle WebCenter Portal Oracle SOA Suite Oracle Enterprise Pack for Eclipse Oracle Database Oracle Consulting &amp;amp;amp;amp;amp;amp;amp;&amp;amp;amp;amp;amp;lt;span id=&amp;amp;amp;amp;amp;quot;XinhaEditingPostion&amp;amp;amp;amp;amp;quot;&amp;amp;amp;amp;amp;gt;&amp;amp;amp;amp;amp;lt;/span&amp;amp;amp;amp;amp;gt;amp;&amp;amp;amp;amp;amp;amp;lt;span id=&amp;amp;amp;amp;amp;amp;quot;XinhaEditingPostion&amp;amp;amp;amp;amp;amp;quot;&amp;amp;amp;amp;amp;amp;gt;&amp;amp;amp;amp;amp;amp;lt;/span&amp;amp;amp;amp;amp;amp;gt;lt;p&amp;amp;amp;amp;amp;amp;amp;amp;gt; &amp;amp;amp;amp;amp;amp;amp;amp;lt;/p&amp;amp;amp;amp;amp;amp;amp;amp;gt;

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  • Investigating Strategies For Functional Decomposition

    - by Liam McLennan
    Introducing Functional Decomposition Before I begin I must apologise. I think I am using the term ‘functional decomposition’ loosely, and probably incorrectly. For the purpose of this article I use functional decomposition to mean the recursive splitting of a large problem into increasingly smaller ones, so that the one large problem may be solved by solving a set of smaller problems. The justification for functional decomposition is that the decomposed problem is more easily solved. As software developers we recognise that the smaller pieces are more easily tested, since they do less and are more cohesive. Functional decomposition is important to all scientific pursuits. Once we understand natural selection we can start to look for humanities ancestral species, once we understand the big bang we can trace our expanding universe back to its origin. Isaac Newton acknowledged the compositional nature of his scientific achievements: If I have seen further than others, it is by standing upon the shoulders of giants   The Two Strategies For Functional Decomposition of Computer Programs Private Methods When I was working on my undergraduate degree I was taught to functionally decompose problems by using private methods. Consider the problem of painting a house. The obvious solution is to solve the problem as a single unit: public void PaintAHouse() { // all the things required to paint a house ... } We decompose the problem by breaking it into parts: public void PaintAHouse() { PaintUndercoat(); PaintTopcoat(); } private void PaintUndercoat() { // everything required to paint the undercoat } private void PaintTopcoat() { // everything required to paint the topcoat } The problem can be recursively decomposed until a sufficiently granular level of detail is reached: public void PaintAHouse() { PaintUndercoat(); PaintTopcoat(); } private void PaintUndercoat() { prepareSurface(); fetchUndercoat(); paintUndercoat(); } private void PaintTopcoat() { fetchPaint(); paintTopcoat(); } According to Wikipedia, at least one computer programmer has referred to this process as “the art of subroutining”. The practical issues that I have encountered when using private methods for decomposition are: To preserve the top level API all of the steps must be private. This means that they can’t easily be tested. The private methods often have little cohesion except that they form part of the same solution. Decomposing to Classes The alternative is to decompose large problems into multiple classes, effectively using a class instead of each private method. The API delegates to related classes, so the API is not polluted by the sub-steps of the problem, and the steps can be easily tested because they are each in their own highly cohesive class. Additionally, I think that this technique facilitates better adherence to the Single Responsibility Principle, since each class can be decomposed until it has precisely one responsibility. Revisiting my previous example using class composition: public class HousePainter { private undercoatPainter = new UndercoatPainter(); private topcoatPainter = new TopcoatPainter(); public void PaintAHouse() { undercoatPainter.Paint(); topcoatPainter.Paint(); } } Summary When decomposing a problem there is more than one way to represent the sub-problems. Using private methods keeps the logic in one place and prevents a proliferation of classes (thereby following the four rules of simple design) but the class decomposition is more easily testable and more compatible with the Single Responsibility Principle.

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  • Faster Memory Allocation Using vmtasks

    - by Steve Sistare
    You may have noticed a new system process called "vmtasks" on Solaris 11 systems: % pgrep vmtasks 8 % prstat -p 8 PID USERNAME SIZE RSS STATE PRI NICE TIME CPU PROCESS/NLWP 8 root 0K 0K sleep 99 -20 9:10:59 0.0% vmtasks/32 What is vmtasks, and why should you care? In a nutshell, vmtasks accelerates creation, locking, and destruction of pages in shared memory segments. This is particularly helpful for locked memory, as creating a page of physical memory is much more expensive than creating a page of virtual memory. For example, an ISM segment (shmflag & SHM_SHARE_MMU) is locked in memory on the first shmat() call, and a DISM segment (shmflg & SHM_PAGEABLE) is locked using mlock() or memcntl(). Segment operations such as creation and locking are typically single threaded, performed by the thread making the system call. In many applications, the size of a shared memory segment is a large fraction of total physical memory, and the single-threaded initialization is a scalability bottleneck which increases application startup time. To break the bottleneck, we apply parallel processing, harnessing the power of the additional CPUs that are always present on modern platforms. For sufficiently large segments, as many of 16 threads of vmtasks are employed to assist an application thread during creation, locking, and destruction operations. The segment is implicitly divided at page boundaries, and each thread is given a chunk of pages to process. The per-page processing time can vary, so for dynamic load balancing, the number of chunks is greater than the number of threads, and threads grab chunks dynamically as they finish their work. Because the threads modify a single application address space in compressed time interval, contention on locks protecting VM data structures locks was a problem, and we had to re-scale a number of VM locks to get good parallel efficiency. The vmtasks process has 1 thread per CPU and may accelerate multiple segment operations simultaneously, but each operation gets at most 16 helper threads to avoid monopolizing CPU resources. We may reconsider this limit in the future. Acceleration using vmtasks is enabled out of the box, with no tuning required, and works for all Solaris platform architectures (SPARC sun4u, SPARC sun4v, x86). The following tables show the time to create + lock + destroy a large segment, normalized as milliseconds per gigabyte, before and after the introduction of vmtasks: ISM system ncpu before after speedup ------ ---- ------ ----- ------- x4600 32 1386 245 6X X7560 64 1016 153 7X M9000 512 1196 206 6X T5240 128 2506 234 11X T4-2 128 1197 107 11x DISM system ncpu before after speedup ------ ---- ------ ----- ------- x4600 32 1582 265 6X X7560 64 1116 158 7X M9000 512 1165 152 8X T5240 128 2796 198 14X (I am missing the data for T4 DISM, for no good reason; it works fine). The following table separates the creation and destruction times: ISM, T4-2 before after ------ ----- create 702 64 destroy 495 43 To put this in perspective, consider creating a 512 GB ISM segment on T4-2. Creating the segment would take 6 minutes with the old code, and only 33 seconds with the new. If this is your Oracle SGA, you save over 5 minutes when starting the database, and you also save when shutting it down prior to a restart. Those minutes go directly to your bottom line for service availability.

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  • Much Ado About Nothing: Stub Objects

    - by user9154181
    The Solaris 11 link-editor (ld) contains support for a new type of object that we call a stub object. A stub object is a shared object, built entirely from mapfiles, that supplies the same linking interface as the real object, while containing no code or data. Stub objects cannot be executed — the runtime linker will kill any process that attempts to load one. However, you can link to a stub object as a dependency, allowing the stub to act as a proxy for the real version of the object. You may well wonder if there is a point to producing an object that contains nothing but linking interface. As it turns out, stub objects are very useful for building large bodies of code such as Solaris. In the last year, we've had considerable success in applying them to one of our oldest and thorniest build problems. In this discussion, I will describe how we came to invent these objects, and how we apply them to building Solaris. This posting explains where the idea for stub objects came from, and details our long and twisty journey from hallway idea to standard link-editor feature. I expect that these details are mainly of interest to those who work on Solaris and its makefiles, those who have done so in the past, and those who work with other similar bodies of code. A subsequent posting will omit the history and background details, and instead discuss how to build and use stub objects. If you are mainly interested in what stub objects are, and don't care about the underlying software war stories, I encourage you to skip ahead. The Long Road To Stubs This all started for me with an email discussion in May of 2008, regarding a change request that was filed in 2002, entitled: 4631488 lib/Makefile is too patient: .WAITs should be reduced This CR encapsulates a number of cronic issues with Solaris builds: We build Solaris with a parallel make (dmake) that tries to build as much of the code base in parallel as possible. There is a lot of code to build, and we've long made use of parallelized builds to get the job done quicker. This is even more important in today's world of massively multicore hardware. Solaris contains a large number of executables and shared objects. Executables depend on shared objects, and shared objects can depend on each other. Before you can build an object, you need to ensure that the objects it needs have been built. This implies a need for serialization, which is in direct opposition to the desire to build everying in parallel. To accurately build objects in the right order requires an accurate set of make rules defining the things that depend on each other. This sounds simple, but the reality is quite complex. In practice, having programmers explicitly specify these dependencies is a losing strategy: It's really hard to get right. It's really easy to get it wrong and never know it because things build anyway. Even if you get it right, it won't stay that way, because dependencies between objects can change over time, and make cannot help you detect such drifing. You won't know that you got it wrong until the builds break. That can be a long time after the change that triggered the breakage happened, making it hard to connect the cause and the effect. Usually this happens just before a release, when the pressure is on, its hard to think calmly, and there is no time for deep fixes. As a poor compromise, the libraries in core Solaris were built using a set of grossly incomplete hand written rules, supplemented with a number of dmake .WAIT directives used to group the libraries into sets of non-interacting groups that can be built in parallel because we think they don't depend on each other. From time to time, someone will suggest that we could analyze the built objects themselves to determine their dependencies and then generate make rules based on those relationships. This is possible, but but there are complications that limit the usefulness of that approach: To analyze an object, you have to build it first. This is a classic chicken and egg scenario. You could analyze the results of a previous build, but then you're not necessarily going to get accurate rules for the current code. It should be possible to build the code without having a built workspace available. The analysis will take time, and remember that we're constantly trying to make builds faster, not slower. By definition, such an approach will always be approximate, and therefore only incremantally more accurate than the hand written rules described above. The hand written rules are fast and cheap, while this idea is slow and complex, so we stayed with the hand written approach. Solaris was built that way, essentially forever, because these are genuinely difficult problems that had no easy answer. The makefiles were full of build races in which the right outcomes happened reliably for years until a new machine or a change in build server workload upset the accidental balance of things. After figuring out what had happened, you'd mutter "How did that ever work?", add another incomplete and soon to be inaccurate make dependency rule to the system, and move on. This was not a satisfying solution, as we tend to be perfectionists in the Solaris group, but we didn't have a better answer. It worked well enough, approximately. And so it went for years. We needed a different approach — a new idea to cut the Gordian Knot. In that discussion from May 2008, my fellow linker-alien Rod Evans had the initial spark that lead us to a game changing series of realizations: The link-editor is used to link objects together, but it only uses the ELF metadata in the object, consisting of symbol tables, ELF versioning sections, and similar data. Notably, it does not look at, or understand, the machine code that makes an object useful at runtime. If you had an object that only contained the ELF metadata for a dependency, but not the code or data, the link-editor would find it equally useful for linking, and would never know the difference. Call it a stub object. In the core Solaris OS, we require all objects to be built with a link-editor mapfile that describes all of its publically available functions and data. Could we build a stub object using the mapfile for the real object? It ought to be very fast to build stub objects, as there are no input objects to process. Unlike the real object, stub objects would not actually require any dependencies, and so, all of the stubs for the entire system could be built in parallel. When building the real objects, one could link against the stub objects instead of the real dependencies. This means that all the real objects can be built built in parallel too, without any serialization. We could replace a system that requires perfect makefile rules with a system that requires no ordering rules whatsoever. The results would be considerably more robust. We immediately realized that this idea had potential, but also that there were many details to sort out, lots of work to do, and that perhaps it wouldn't really pan out. As is often the case, it would be necessary to do the work and see how it turned out. Following that conversation, I set about trying to build a stub object. We determined that a faithful stub has to do the following: Present the same set of global symbols, with the same ELF versioning, as the real object. Functions are simple — it suffices to have a symbol of the right type, possibly, but not necessarily, referencing a null function in its text segment. Copy relocations make data more complicated to stub. The possibility of a copy relocation means that when you create a stub, the data symbols must have the actual size of the real data. Any error in this will go uncaught at link time, and will cause tragic failures at runtime that are very hard to diagnose. For reasons too obscure to go into here, involving tentative symbols, it is also important that the data reside in bss, or not, matching its placement in the real object. If the real object has more than one symbol pointing at the same data item, we call these aliased symbols. All data symbols in the stub object must exhibit the same aliasing as the real object. We imagined the stub library feature working as follows: A command line option to ld tells it to produce a stub rather than a real object. In this mode, only mapfiles are examined, and any object or shared libraries on the command line are are ignored. The extra information needed (function or data, size, and bss details) would be added to the mapfile. When building the real object instead of the stub, the extra information for building stubs would be validated against the resulting object to ensure that they match. In exploring these ideas, I immediately run headfirst into the reality of the original mapfile syntax, a subject that I would later write about as The Problem(s) With Solaris SVR4 Link-Editor Mapfiles. The idea of extending that poor language was a non-starter. Until a better mapfile syntax became available, which seemed unlikely in 2008, the solution could not involve extentions to the mapfile syntax. Instead, we cooked up the idea (hack) of augmenting mapfiles with stylized comments that would carry the necessary information. A typical definition might look like: # DATA(i386) __iob 0x3c0 # DATA(amd64,sparcv9) __iob 0xa00 # DATA(sparc) __iob 0x140 iob; A further problem then became clear: If we can't extend the mapfile syntax, then there's no good way to extend ld with an option to produce stub objects, and to validate them against the real objects. The idea of having ld read comments in a mapfile and parse them for content is an unacceptable hack. The entire point of comments is that they are strictly for the human reader, and explicitly ignored by the tool. Taking all of these speed bumps into account, I made a new plan: A perl script reads the mapfiles, generates some small C glue code to produce empty functions and data definitions, compiles and links the stub object from the generated glue code, and then deletes the generated glue code. Another perl script used after both objects have been built, to compare the real and stub objects, using data from elfdump, and validate that they present the same linking interface. By June 2008, I had written the above, and generated a stub object for libc. It was a useful prototype process to go through, and it allowed me to explore the ideas at a deep level. Ultimately though, the result was unsatisfactory as a basis for real product. There were so many issues: The use of stylized comments were fine for a prototype, but not close to professional enough for shipping product. The idea of having to document and support it was a large concern. The ideal solution for stub objects really does involve having the link-editor accept the same arguments used to build the real object, augmented with a single extra command line option. Any other solution, such as our prototype script, will require makefiles to be modified in deeper ways to support building stubs, and so, will raise barriers to converting existing code. A validation script that rederives what the linker knew when it built an object will always be at a disadvantage relative to the actual linker that did the work. A stub object should be identifyable as such. In the prototype, there was no tag or other metadata that would let you know that they weren't real objects. Being able to identify a stub object in this way means that the file command can tell you what it is, and that the runtime linker can refuse to try and run a program that loads one. At that point, we needed to apply this prototype to building Solaris. As you might imagine, the task of modifying all the makefiles in the core Solaris code base in order to do this is a massive task, and not something you'd enter into lightly. The quality of the prototype just wasn't good enough to justify that sort of time commitment, so I tabled the project, putting it on my list of long term things to think about, and moved on to other work. It would sit there for a couple of years. Semi-coincidentally, one of the projects I tacked after that was to create a new mapfile syntax for the Solaris link-editor. We had wanted to do something about the old mapfile syntax for many years. Others before me had done some paper designs, and a great deal of thought had already gone into the features it should, and should not have, but for various reasons things had never moved beyond the idea stage. When I joined Sun in late 2005, I got involved in reviewing those things and thinking about the problem. Now in 2008, fresh from relearning for the Nth time why the old mapfile syntax was a huge impediment to linker progress, it seemed like the right time to tackle the mapfile issue. Paving the way for proper stub object support was not the driving force behind that effort, but I certainly had them in mind as I moved forward. The new mapfile syntax, which we call version 2, integrated into Nevada build snv_135 in in February 2010: 6916788 ld version 2 mapfile syntax PSARC/2009/688 Human readable and extensible ld mapfile syntax In order to prove that the new mapfile syntax was adequate for general purpose use, I had also done an overhaul of the ON consolidation to convert all mapfiles to use the new syntax, and put checks in place that would ensure that no use of the old syntax would creep back in. That work went back into snv_144 in June 2010: 6916796 OSnet mapfiles should use version 2 link-editor syntax That was a big putback, modifying 517 files, adding 18 new files, and removing 110 old ones. I would have done this putback anyway, as the work was already done, and the benefits of human readable syntax are obvious. However, among the justifications listed in CR 6916796 was this We anticipate adding additional features to the new mapfile language that will be applicable to ON, and which will require all sharable object mapfiles to use the new syntax. I never explained what those additional features were, and no one asked. It was premature to say so, but this was a reference to stub objects. By that point, I had already put together a working prototype link-editor with the necessary support for stub objects. I was pleased to find that building stubs was indeed very fast. On my desktop system (Ultra 24), an amd64 stub for libc can can be built in a fraction of a second: % ptime ld -64 -z stub -o stubs/libc.so.1 -G -hlibc.so.1 \ -ztext -zdefs -Bdirect ... real 0.019708910 user 0.010101680 sys 0.008528431 In order to go from prototype to integrated link-editor feature, I knew that I would need to prove that stub objects were valuable. And to do that, I knew that I'd have to switch the Solaris ON consolidation to use stub objects and evaluate the outcome. And in order to do that experiment, ON would first need to be converted to version 2 mapfiles. Sub-mission accomplished. Normally when you design a new feature, you can devise reasonably small tests to show it works, and then deploy it incrementally, letting it prove its value as it goes. The entire point of stub objects however was to demonstrate that they could be successfully applied to an extremely large and complex code base, and specifically to solve the Solaris build issues detailed above. There was no way to finesse the matter — in order to move ahead, I would have to successfully use stub objects to build the entire ON consolidation and demonstrate their value. In software, the need to boil the ocean can often be a warning sign that things are trending in the wrong direction. Conversely, sometimes progress demands that you build something large and new all at once. A big win, or a big loss — sometimes all you can do is try it and see what happens. And so, I spent some time staring at ON makefiles trying to get a handle on how things work, and how they'd have to change. It's a big and messy world, full of complex interactions, unspecified dependencies, special cases, and knowledge of arcane makefile features... ...and so, I backed away, put it down for a few months and did other work... ...until the fall, when I felt like it was time to stop thinking and pondering (some would say stalling) and get on with it. Without stubs, the following gives a simplified high level view of how Solaris is built: An initially empty directory known as the proto, and referenced via the ROOT makefile macro is established to receive the files that make up the Solaris distribution. A top level setup rule creates the proto area, and performs operations needed to initialize the workspace so that the main build operations can be launched, such as copying needed header files into the proto area. Parallel builds are launched to build the kernel (usr/src/uts), libraries (usr/src/lib), and commands. The install makefile target builds each item and delivers a copy to the proto area. All libraries and executables link against the objects previously installed in the proto, implying the need to synchronize the order in which things are built. Subsequent passes run lint, and do packaging. Given this structure, the additions to use stub objects are: A new second proto area is established, known as the stub proto and referenced via the STUBROOT makefile macro. The stub proto has the same structure as the real proto, but is used to hold stub objects. All files in the real proto are delivered as part of the Solaris product. In contrast, the stub proto is used to build the product, and then thrown away. A new target is added to library Makefiles called stub. This rule builds the stub objects. The ld command is designed so that you can build a stub object using the same ld command line you'd use to build the real object, with the addition of a single -z stub option. This means that the makefile rules for building the stub objects are very similar to those used to build the real objects, and many existing makefile definitions can be shared between them. A new target is added to the Makefiles called stubinstall which delivers the stub objects built by the stub rule into the stub proto. These rules reuse much of existing plumbing used by the existing install rule. The setup rule runs stubinstall over the entire lib subtree as part of its initialization. All libraries and executables link against the objects in the stub proto rather than the main proto, and can therefore be built in parallel without any synchronization. There was no small way to try this that would yield meaningful results. I would have to take a leap of faith and edit approximately 1850 makefiles and 300 mapfiles first, trusting that it would all work out. Once the editing was done, I'd type make and see what happened. This took about 6 weeks to do, and there were many dark days when I'd question the entire project, or struggle to understand some of the many twisted and complex situations I'd uncover in the makefiles. I even found a couple of new issues that required changes to the new stub object related code I'd added to ld. With a substantial amount of encouragement and help from some key people in the Solaris group, I eventually got the editing done and stub objects for the entire workspace built. I found that my desktop system could build all the stub objects in the workspace in roughly a minute. This was great news, as it meant that use of the feature is effectively free — no one was likely to notice or care about the cost of building them. After another week of typing make, fixing whatever failed, and doing it again, I succeeded in getting a complete build! The next step was to remove all of the make rules and .WAIT statements dedicated to controlling the order in which libraries under usr/src/lib are built. This came together pretty quickly, and after a few more speed bumps, I had a workspace that built cleanly and looked like something you might actually be able to integrate someday. This was a significant milestone, but there was still much left to do. I turned to doing full nightly builds. Every type of build (open, closed, OpenSolaris, export, domestic) had to be tried. Each type failed in a new and unique way, requiring some thinking and rework. As things came together, I became aware of things that could have been done better, simpler, or cleaner, and those things also required some rethinking, the seeking of wisdom from others, and some rework. After another couple of weeks, it was in close to final form. My focus turned towards the end game and integration. This was a huge workspace, and needed to go back soon, before changes in the gate would made merging increasingly difficult. At this point, I knew that the stub objects had greatly simplified the makefile logic and uncovered a number of race conditions, some of which had been there for years. I assumed that the builds were faster too, so I did some builds intended to quantify the speedup in build time that resulted from this approach. It had never occurred to me that there might not be one. And so, I was very surprised to find that the wall clock build times for a stock ON workspace were essentially identical to the times for my stub library enabled version! This is why it is important to always measure, and not just to assume. One can tell from first principles, based on all those removed dependency rules in the library makefile, that the stub object version of ON gives dmake considerably more opportunities to overlap library construction. Some hypothesis were proposed, and shot down: Could we have disabled dmakes parallel feature? No, a quick check showed things being build in parallel. It was suggested that we might be I/O bound, and so, the threads would be mostly idle. That's a plausible explanation, but system stats didn't really support it. Plus, the timing between the stub and non-stub cases were just too suspiciously identical. Are our machines already handling as much parallelism as they are capable of, and unable to exploit these additional opportunities? Once again, we didn't see the evidence to back this up. Eventually, a more plausible and obvious reason emerged: We build the libraries and commands (usr/src/lib, usr/src/cmd) in parallel with the kernel (usr/src/uts). The kernel is the long leg in that race, and so, wall clock measurements of build time are essentially showing how long it takes to build uts. Although it would have been nice to post a huge speedup immediately, we can take solace in knowing that stub objects simplify the makefiles and reduce the possibility of race conditions. The next step in reducing build time should be to find ways to reduce or overlap the uts part of the builds. When that leg of the build becomes shorter, then the increased parallelism in the libs and commands will pay additional dividends. Until then, we'll just have to settle for simpler and more robust. And so, I integrated the link-editor support for creating stub objects into snv_153 (November 2010) with 6993877 ld should produce stub objects PSARC/2010/397 ELF Stub Objects followed by the work to convert the ON consolidation in snv_161 (February 2011) with 7009826 OSnet should use stub objects 4631488 lib/Makefile is too patient: .WAITs should be reduced This was a huge putback, with 2108 modified files, 8 new files, and 2 removed files. Due to the size, I was allowed a window after snv_160 closed in which to do the putback. It went pretty smoothly for something this big, a few more preexisting race conditions would be discovered and addressed over the next few weeks, and things have been quiet since then. Conclusions and Looking Forward Solaris has been built with stub objects since February. The fact that developers no longer specify the order in which libraries are built has been a big success, and we've eliminated an entire class of build error. That's not to say that there are no build races left in the ON makefiles, but we've taken a substantial bite out of the problem while generally simplifying and improving things. The introduction of a stub proto area has also opened some interesting new possibilities for other build improvements. As this article has become quite long, and as those uses do not involve stub objects, I will defer that discussion to a future article.

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  • iphone - direct link to iPhone review form from inside iphone

    - by Mike
    I am trying to link directly to the review link of one of my Apps. I know that it is possible because Appirater did it in the past, but some change in iTunes turned the API down. Appirater uses this URL NSString *templateReviewURL = @"itms-apps://itunes.apple.com/WebObjects/MZStore.woa/wa/viewContentsUserReviews?id=APP_ID&onlyLatestVersion=true&pageNumber=0&sortOrdering=1&type=Purple+Software"; where APP_ID is the ID of an application. running this from inside the APP gives me the message Cannot Connect to iTunes Store. This Page talks about another kind of link https://userpub.itunes.apple.com/WebObjects/MZUserPublishing.woa/wa/addUserReview?id=APP_ID&type=Purple+Software and also itms-apps://ax.itunes.apple.com/WebObjects/MZStore.woa/wa/viewContentsUserReviews?type=Purple+Software&id=APP_ID The first one works, but just from the desktop mac. The second gives me the same error as the first... Cannot Connect to iTunes Store. iTunes link maker is not helping too, because it has no tools for iPad links... Do you guys know how to link to an app's review form from inside an app? In case you don't know, what kind of package should I use to dig this? a package sniffer? thanks for any help.

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  • What is wrong with Paperclip+ImageMagick on Heroku?

    - by Yuri
    UPD class User < ActiveRecord::Base Paperclip.options[:swallow_stderr] = false has_attached_file :photo, :styles => { :square => "100%", :large => "100%" }, :convert_options => { :square => "-auto-orient -geometry 70X70#", :large => "-auto-orient -geometry X300" }, :storage => :s3, :s3_credentials => "#{RAILS_ROOT}/config/s3.yml", :path => ":attachment/:id/:style.:extension", :bucket => 'mybucket' validates_attachment_size :photo, :less_than => 5.megabyte end Works great on local machine, but gives me an error on Heroku: There was an error processing the thumbnail for stream.20143 The thing is I want to auto-orient photos before resizing, so they resized properly. The only working variant now(thanks to jonnii) is resizing without auto-orient: ... as_attached_file :photo, :styles => { :square => "70X70#", :large => "X300" }, :storage => :s3, :s3_credentials => "#{RAILS_ROOT}/config/s3.yml", :path => ":attachment/:id/:style.:extension", :bucket => 'mybucket' ... How to pass additional convert options to paperclip on Heroku?

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  • Dealing with huge SQL resultset

    - by Dave McClelland
    I am working with a rather large mysql database (several million rows) with a column storing blob images. The application attempts to grab a subset of the images and runs some processing algorithms on them. The problem I'm running into is that, due to the rather large dataset that I have, the dataset that my query is returning is too large to store in memory. For the time being, I have changed the query to not return the images. While iterating over the resultset, I run another select which grabs the individual image that relates to the current record. This works, but the tens of thousands of extra queries have resulted in a performance decrease that is unacceptable. My next idea is to limit the original query to 10,000 results or so, and then keep querying over spans of 10,000 rows. This seems like the middle of the road compromise between the two approaches. I feel that there is probably a better solution that I am not aware of. Is there another way to only have portions of a gigantic resultset in memory at a time? Cheers, Dave McClelland

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  • Handling multiple column data with Java

    - by Ender
    I am writing an application that reads in a large number of basic user details in the following format; once read in it then allows the user to search for a user's details using their email: NAME ROLE EMAIL --------------------------------------------------- Joe Bloggs Manager [email protected] John Smith Consultant [email protected] Alan Wright Tester [email protected] ... The problem I am suffering is that I need to store a large number of details of all people that have worked at the company. The file containing these details will be written on a yearly basis simply for reporting purposes, but the program will need to be able to access these details quickly. The way I aim to access these files is to have a program that asks the user for the name of the unique email of the member of staff and for the program to then return the name and the role from that line of the file. I've played around with text files, but am struggling with how I would handle multiple columns of data when it comes to searching this large file. What is the best format to store such data in? A text file? XML? The size doesn't bother me, but I'd like to be able to search it as quickly as possible. The file will need to contain a lot of entries, probably over the 10K mark over time.

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  • Web application creation in IIS7 via MS.Web.Admin

    - by Jon Ownbey
    I am attempting to create seperate workflow instances as applications in IIS7 using the Microsoft.Web.Administration dll. When it attempts to add the Application to the Site ApplicationsCollection I get a COM error: "Invalid application path\r\n" using (ServerManager manager = new ServerManager()) { var site = manager.Sites.Where(x => x.Name == Properties.Settings.Default.WorkflowWebsiteName).Single(); StringBuilder stringBuilder = new StringBuilder() .Append(m_workflowDefinition.AccountId) .Append("/") .Append(m_workflowDefinition.WorkflowDefinitionId) .Append("/") .Append(m_workflowDefinition.Version) .Append("/"); string virtualPath = stringBuilder.ToString(); string physicalPath = Properties.Settings.Default.ApplicationPoolString + virtualPath.Replace("/", "\\"); if (!Directory.Exists(physicalPath)) Directory.CreateDirectory(physicalPath); //Create the workflow service definition file using (StreamWriter writer = new StreamWriter(Path.Combine(physicalPath, m_workflowDefinition.WorkflowName + WORKFLOW_FILE_EXTENSION))) { writer.Write(m_workflowDefinition.Definition); } //Copy dependencies string dependencyPath = m_workflowDefinition.DependenciesPath; CopyAll(new DirectoryInfo(dependencyPath), new DirectoryInfo(physicalPath)); //Create a new IIS application for the workflow var apps = site.Applications.Where(x => x.Path == virtualPath); if (apps.Count() > 0) { site.Applications.Remove(apps.Single()); } Application app = site.Applications.Add(virtualPath, physicalPath); app.ApplicationPoolName = "Workflow AppPool"; app.EnabledProtocols = PROTOCOLS; manager.CommitChanges(); } The value assigned to virtualPath is like: "something/something/something" and for physicalPath it is "c:\inetpub\wwwroot\Workflow\something\something\something". Any ideas? Any help is greatly appreciated.

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  • C# average function without overflow exception

    - by Ron Klein
    .NET Framework 3.5. I'm trying to calculate the average of some pretty large numbers. For instance: using System; using System.Linq; class Program { static void Main(string[] args) { var items = new long[] { long.MaxValue - 100, long.MaxValue - 200, long.MaxValue - 300 }; try { var avg = items.Average(); Console.WriteLine(avg); } catch (OverflowException ex) { Console.WriteLine("can't calculate that!"); } Console.ReadLine(); } } Obviously, the mathematical result is 9223372036854775607 (long.MaxValue - 200), but I get an exception there. This is because the implementation (on my machine) to the Average extension method, as inspected by .NET Reflector is: public static double Average(this IEnumerable<long> source) { if (source == null) { throw Error.ArgumentNull("source"); } long num = 0L; long num2 = 0L; foreach (long num3 in source) { num += num3; num2 += 1L; } if (num2 <= 0L) { throw Error.NoElements(); } return (((double) num) / ((double) num2)); } I know I can use a BigInt library (yes, I know that it is included in .NET Framework 4.0, but I'm tied to 3.5). But I still wonder if there's a pretty straight forward implementation of calculating the average of integers without an external library. Do you happen to know about such implementation? Thanks!! UPDATE: The previous example, of three large integers, was just an example to illustrate the overflow issue. The question is about calculating an average of any set of numbers which might sum to a large number that exceeds the type's max value. Sorry about this confusion. I also changed the question's title to avoid additional confusion. Thanks all!!

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  • Suggestions for entering mobile development -- pure iPhone SDK, Android SDK, Mono Touch or Titanium

    - by Tom Cabanski
    I am entering mobile development. I have been working primarily in .NET since 1.0 came out in beta. Before that, I was mostly a C++ and Delphi guy and still dabble in C++ from time to time. I do web apps quite a bit so I am reasonably proficient with Javascript, JQuery and CSS. I have also done a few Java applications. I started web programming with CGI and live mostly in the ASP.NET MVC world these days. I am trying to decide on which platform/OS and tool to select. I am concerned with the size of the market available for my applications as well as the marketibility of the skills I will pick up. The apps I have in mind would work on both phones and pads. Some aspects of what I have in mind will play better on the bigger screens that will be available on pads. Here are the options I am considering: Apple iPhone/iPad using pure Apple SDK (Objective-C) Apple iPhone/iPad using Mono Touch (C#) Android using pure Android SDK (Java) Multiple platforms using something like Titanium to generate native apps from web technologies (HTML, CSS and Javascript) Multiple platforms using HTML5 web applications that run in the browser (HTML, CSS and Javascript). Which option would you choose? Do you have a different suggestion? What are the pros and cons?

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  • appstats broken filename in callstack

    - by Ray Yun
    When I visit appstats page and expand callstack, the file path has <path[N]> prefix. So click the file link then emit no such file or directory error. Stack: /google/appengine/datastore/datastore_rpc.py:951 make_rpc_call() /google/appengine/datastore/datastore_query.py:993 _make_query_result_rpc_call() /google/appengine/datastore/datastore_query.py:714 run_async() /google/appengine/datastore/datastore_query.py:685 run() /google/appengine/api/datastore.py:1281 GetBatcher() /google/appengine/api/datastore.py:1351 Get() /google/appengine/ext/db/init.py:1831 fetch() /google/appengine/ext/db/init.py:1778 get() /apps/fbapp/fbutil.py:232 oauth_load_fb_user() /apps/fbapp/fbutil.py:84 require_account() the error message for appengine source: [Errno 2] No such file or directory: u'/Applications/GoogleAppEngineLauncher.app/Contents/Resources/GoogleAppEngine-default.bundle/Contents/Resources/google_appengine/lib/ipaddr/google/appengine/datastore/datastore_rpc.py' the error message for my source: IOError [Errno 2] No such file or directory: u'/Applications/GoogleAppEngineLauncher.app/Contents/Resources/GoogleAppEngine-default.bundle/Contents/Resources/google_appengine/lib/antlr3/apps/fbapp/fbutil.py' I guess this was path problem and found some official comment from google. If your request handlers modify sys.path, you must make the same modifications to sys.path in appengine_config.py so the Appstats web interface can see all files. Actually I'm using appengine_django and two path was inserted to sys.path. I did it same again at appengine_django.py but also failed. Maybe some custom setting with appengine_config.py can solve this problem but doesn't figure out how to fix it. What can I do?

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  • Github file size limit changed 6/18/13. Can't push now

    - by slindsey3000
    How does this change as of June 18, 2013 affect my existing repository with a file that exceeds that limit? I last pushed 2 months ago with a large file. I have a large file that I have removed locally but I can not push anything now. I get a "remote error" ... remote: error: File cron_log.log is 126.91 MB; this exceeds GitHub's file size limit of 100 MB I added the file to .gitignore after original push... But it still exists on remote (origin) Removing it locally should get rid of it at origin(Github) right? ... but ... it is not letting me push because there is a file on Github that exceeds the limit... https://github.com/blog/1533-new-file-size-limits These are the commands I issued plus error messages.. git add . git commit -m "delete cron_log.log" git push origin master remote: Error code: 40bef1f6653fd2410fb2ab40242bc879 remote: warning: Error GH413: Large files detected. remote: warning: See http://git.io/iEPt8g for more information. remote: error: File cron_log.log is 141.41 MB; this exceeds GitHub's file size limit of 100 MB remote: error: File cron_log.log is 126.91 MB; this exceeds GitHub's file size limit of 100 MB To https://github.com/slinds(omited_here)/linexxxx(omited_here).git ! [remote rejected] master - master (pre-receive hook declined) error: failed to push some refs to 'https://github.com/slinds(omited_here) I then tried things like git rm cron_log.log git rm --cached cron_log.log Same error.

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  • Codeigniter image manipulation class rotates image during resize

    - by someoneinomaha
    I'm using Codeigniter's image manipulation library to re-size an uploaded image to three sizes, small, normal and large. The re-sizing is working great. However, if I'm resizing a vertical image, the library is rotating the image so it's horizontal. These are the config settings I have in place: $this->resize_config['image_library'] = 'gd2'; $this->resize_config['source_image'] = $this->file_data['full_path']; $this->resize_config['maintain_ratio'] = TRUE; // These change based on the type (small, normal, large) $this->resize_config['new_image'] = './uploads/large/'.$this->new_file_name.'.jpg'; $this->resize_config['width'] = 432; $this->resize_config['height'] = 288; I'm not setting the master_dim property because the default it set to auto, which is what I want. My assumption is that the library would take a vertical image, see that the height is greater than the width and translate the height/width config appropriately so the image remains vertical. What is happening (apparently) is that the library is rotating the image when it is vertical and sizing it per the configuration. This is the code in place I have to do the actual re-sizing: log_message('debug', 'attempting '.$size.' photo resize'); $this->CI->load->library('image_lib'); $this->CI->image_lib->initialize($this->resize_config); if ($this->CI->image_lib->resize()) { $return_value = TRUE; log_message('debug', $size.' photo resize successful'); } else { $this->errors[] = $this->CI->image_lib->display_errors(); log_message('debug', $size.' photo resize failed'); } $this->CI->image_lib->clear(); return $return_value;

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  • Why this not working in IE ?

    - by ankit vishwakarma
    <script> FB.init({ appId : '117680911578526', status : true, // check login status cookie : true, // enable cookies to allow the server to access the session xfbml : true // parse XFBML }); //alert(FB.getSession()); /*window.fbAsyncInit = function() { FB.Canvas.setAutoResize(); }*/ </script> <script type="text/javascript"> FB.ui( { // http://www.facebook.com/connect/prompt_feed.php?action_links=%5B%7B%22text%22%3A%22Movies%22%2C%22href%22%3A%22http%3A%2F%2Fapps.facebook.com%2Fhindi_movies%2F%22%7D%5D&api_key=117680911578526&attachment=%7B%22name%22%3A%22Raavan%20%22%2C%22href%22%3A%22http%3A%2F%2Fapps.facebook.com%2Fhindi_movies%2Fmovie%2F6%22%2C%22caption%22%3A%22I%20reviewed%20Raavan%20%20movie%20on%20HindiPix%22%2C%22media%22%3A%5B%7B%22type%22%3A%22image%22%2C%22src%22%3A%22http%3A%2F%2Fmovies.kewlsocial.com%2Fmovies%2Fuploads%2Fmovies%2FRaavna_movie_small_thumb.jpg%22%2C%22href%22%3A%22http%3A%2F%2Fapps.facebook.com%2Fhindi_movies%2Fmovie%2F6%22%7D%5D%7D&callback=http%3A%2F%2Fstatic.ak.fbcdn.net%2Fconnect%2Fxd_proxy.php%23%3F%3D%26cb%3Df1630e903ba2956%26origin%3Dhttp%253A%252F%252Fmovies.kewlsocial.com%252Ff33a89873048d9c%26relation%3Dparent%26transport%3Dflash%26frame%3Df1395ad7dcd52ce%26result%3D%2522xxRESULTTOKENxx%2522&channel_url=http%3A%2F%2Fstatic.ak.fbcdn.net%2Fconnect%2Fxd_proxy.php%23%3F%3D%26cb%3Dfc544c0f809639%26origin%3Dhttp%253A%252F%252Fmovies.kewlsocial.com%252Ff33a89873048d9c%26relation%3Dparent.parent%26transport%3Dflash&display=dialog&locale=en_US&message=&method=stream.publish&sdk=joey&user_prompt_message=Share%20your%20thoughts%20about%20movie method: 'stream.publish', //auto_publish: true, display: 'dialog', message: '' , //some default msg in textbox attachment: { name: '<?=$movie['movie_title']?>', caption: 'I reviewed <?=$movie['movie_title']?> movie on HindiPix', href: 'http://apps.facebook.com/hindi_movies/movie/<?=$this->uri->segment(3)?>', media:[{ 'type':'image', 'src':'http://movies.kewlsocial.com/movies/uploads/movies/<?=$movie['movie_image']?>', 'href':'http://apps.facebook.com/hindi_movies/movie/<?=$this->uri->segment(3)?>' }] } , action_links: [{ text: 'Movies', href: 'http://apps.facebook.com/hindi_movies/' }], //user_message_prompt: 'Radhey' user_prompt_message: 'Share your thoughts about movie' }/*, function(response) { if (response && response.post_id) { alert('Post was published.'); } else { alert('Post was not published.'); } }*/ ); </script>

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  • Perl XML SAX parser emulating XML::Simple record for record

    - by DVK
    Short Q summary: I am looking a fast XML parser (most likely a wrapper around some standard SAX parser) which will produce per-record data structure 100% identical to those produced by XML::Simple. Details: We have a large code infrastructure which depends on processing records one-by-one and expects the record to be a data structure in a format produced by XML::Simple since it always used XML::Simple since early Jurassic era. An example simple XML is: <root> <rec><f1>v1</f1><f2>v2</f2></rec> <rec><f1>v1b</f1><f2>v2b</f2></rec> <rec><f1>v1c</f1><f2>v2c</f2></rec> </root> And example rough code is: sub process_record { my ($obj, $record_hash) = @_; # do_stuff } my $records = XML::Simple->XMLin(@args)->{root}; foreach my $record (@$records) { $obj->process_record($record) }; As everyone knows XML::Simple is, well, simple. And more importantly, it is very slow and a memory hog - due to being a DOM parser and needing to build/store 100% of data in memory. So, it's not the best tool for parsing an XML file consisting of large amount of small records record-by-record. However, re-writing the entire code (which consist of large amount of "process_record"-like methods) to work with standard SAX parser seems like an big task not worth the resources, even at the cost of living with XML::Simple. What I'm looking for is an existing module which will probably be based on a SAX parser (or anything fast with small memory footprint) which can be used to produce $record hashrefs one by one based on the XML pictured above that can be passed to $obj->process_record($record) and be 100% identical to what XML::Simple's hashrefs would have been. I don't care much what the interface of the new module is - e.g whether I need to call next_record() or give it a callback coderef accepting a record.

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