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  • The Birth of a Method - Where did OUM come from?

    - by user702549
    It seemed fitting to start this blog entry with the OUM vision statement. The vision for the Oracle® Unified Method (OUM) is to support the entire Enterprise IT lifecycle, including support for the successful implementation of every Oracle product.  Well, it’s that time of year again; we just finished testing and packaging OUM 5.6.  It will be released for general availability to qualifying customers and partners this month.  Because of this, I’ve been reflecting back on how the birth of Oracle’s Unified method - OUM came about. As the Release Director of OUM, I’ve been honored to package every method release.  No, maybe you’d say it’s not so special.  Of course, anyone can use packaging software to create an .exe file.  But to me, it is pretty special, because so many people work together to make each release come about.  The rich content that results is what makes OUM’s history worth talking about.   To me, professionally speaking, working on OUM, well it’s been “a labor of love”.  My youngest child was just 8 years old when OUM was born, and she’s now in High School!  Watching her grow and change has been fascinating, if you ask her, she’s grown up hearing about OUM.  My son would often walk into my home office and ask “How is OUM today, Mom?”  I am one of many people that take care of OUM, and have watched the method “mature” over these last 6 years.  Maybe that makes me a "Method Mom" (someone in one of my classes last year actually said this outloud) but there are so many others who collaborate and care about OUM Development. I’ve thought about writing this blog entry for a long time just to reflect on how far the Method has come. Each release, as I prepare the OUM Contributors list, I see how many people’s experience and ideas it has taken to create this wealth of knowledge, process and task guidance as well as templates and examples.  If you’re wondering how many people, just go into OUM select the resources button on the top of most pages of the method, and on that resources page click the ABOUT link. So now back to my nostalgic moment as I finished release 5.6 packaging.  I reflected back, on all the things that happened that cause OUM to become not just a dream but to actually come to fruition.  Here are some key conditions that make it possible for each release of the method: A vision to have one method instead of many methods, thereby focusing on deeper, richer content People within Oracle’s consulting Organization  willing to contribute to OUM providing Subject Matter Experts who are willing to write down and share what they know. Oracle’s continued acquisition of software companies, the need to assimilate high quality existing materials from these companies The need to bring together people from very different backgrounds and provide a common language to support Oracle Product implementations that often involve multiple product families What came first, and then what was the strategy? Initially OUM 4.0 was based on Oracle’s J2EE Custom Development Method (JCDM), it was a good “backbone”  (work breakdown structure) it was Unified Process based, and had good content around UML as well as custom software development.  But it needed to be extended in order to achieve the OUM Vision. What happened after that was to take in the “best of the best”, the legacy and acquired methods were scheduled for assimilation into OUM, one release after another.  We incrementally built OUM.  We didn’t want to lose any of the expertise that was reflected in AIM (Oracle’s legacy Application Implementation Method), Compass (People Soft’s Application implementation method) and so many more. When was OUM born? OUM 4.1 published April 30, 2006.  This release allowed Oracles Advanced Technology groups to begin the very first implementations of Fusion Middleware.  In the early days of the Method we would prepare several releases a year.  Our iterative release development cycle began and continues to be refined with each Method release.  Now we typically see one major release each year. The OUM release development cycle is not unlike many Oracle Implementation projects in that we need to gather requirements, prioritize, prepare the content, test package and then go production.  Typically we develop an OUM release MoSCoW (must have, should have, could have, and won’t have) right after the prior release goes out.   These are the high level requirements.  We break the timeframe into increments, frequent checkpoints that help us assess the content and progress is measured through frequent checkpoints.  We work as a team to prioritize what should be done in each increment. Yes, the team provides the estimates for what can be done within a particular increment.  We sometimes have Method Development workshops (physically or virtually) to accelerate content development on a particular subject area, that is where the best content results. As the written content nears the final stages, it goes through edit and evaluation through peer reviews, and then moves into the release staging environment.  Then content freeze and testing of the method pack take place.  This iterative cycle is run using the OUM artifacts that make sense “fit for purpose”, project plans, MoSCoW lists, Test plans are just a few of the OUM work products we use on a Method Release project. In 2007 OUM 4.3, 4.4 and 4.5 were published.  With the release of 4.5 our Custom BI Method (Data Warehouse Method FastTrack) was assimilated into OUM.  These early releases helped us align Oracle’s Unified method with other industry standards Then in 2008 we made significant changes to the OUM “Backbone” to support Applications Implementation projects with that went to the OUM 5.0 release.  Now things started to get really interesting.  Next we had some major developments in the Envision focus area in the area of Enterprise Architecture.  We acquired some really great content from the former BEA, Liquid Enterprise Method (LEM) along with some SMEs who were willing to work at bringing this content into OUM.  The Service Oriented Architecture content in OUM is extensive and can help support the successful implementation of Fusion Middleware, as well as Fusion Applications. Of course we’ve developed a wealth of OUM training materials that work also helps to improve the method content.  It is one thing to write “how to”, and quite another to be able to teach people how to use the materials to improve the success of their projects.  I’ve learned so much by teaching people how to use OUM. What's next? So here toward the end of 2012, what’s in store in OUM 5.6, well, I’m sure you won’t be surprised the answer is Cloud Computing.   More details to come in the next couple of weeks!  The best part of being involved in the development of OUM is to see how many people have “adopted” OUM over these six years, Clients, Partners, and Oracle Consultants.  The content just gets better with each release.   I’d love to hear your comments on how OUM has evolved, and ideas for new content you’d like to see in the upcoming releases.

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  • SQLPASS Summit 2011 -- I'm going but not as a speaker

    - by NeilHambly
    This post is about my attempt and slight failure @ getting a presenting session @ this year’s SQLPASS Summit 2011 I had submitted for the 1st time 2 submissions (think we had max of 4 we could enter, but I was happy to go with just 2 this time, 1 I had already presented & 1 was nearly completed) My general session (75 minutes) the same session on “Waits” I had done @ SQLBits 8 back in Brighton last April, and a new 1/2 day 3.5 hours format which is a session I’m completing on SQLOS layer Well...(read more)

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  • Softpedia published some of my open source projects — how to react?

    - by polarblau
    (FYI: I've just moved this question over from Stackoverflow on recommendation.) I just received a few emails, informing me that softpedia.com has added some of my "products" to their "database of scripts, code snippets and web applications". My products are in this case some smaller open source projects, which I have hosted and published on github. Now I'm wondering how to react to this. This site is indirectly making money of my free work through ads on three pages before the actual download. They also seem to "invent" version numbers and I can't find out if they're hosting the latest or all versions of my projects. — I can see how this could lead to problems in the future, since I don't control what's "the latest" everywhere. On the other hand I don't mind some extra publicity. I want as many people as possible to know about the projects, use them, fork them and hopefully improve them. The projects in questions are really fairly small, but this might not be the case in the future for me and/or other people reading this question. I'm sure that this must have happened to others around here. What's your opinion? Should I try to get the downloads removed? Update 1 I've requested the removal and mentioned that I don't feel that Softpedia can provide the right environment for this kind of project. Their team got back to me instantly with a friendly email saying, that they'll remove the links for now: If you are worried that your projects won't be updated, then I must tell you that I have them bookmarked in my RSS reader, so any version changes will be forwarded to me when needed. So I promise I'll keep your script up to date as soon as I see an update in the repository. I have to say, that I appreciate this kind of reaction quite a lot and so I sent them another email, describing in more detail what I'm worried about and what bothers me. I also stated, that I'm aware that my license clearly permits them to host the projects in any case, but that I'd be even happy if they would host the projects as long as they could convince me of a few details and maybe make some small changes to the way the projects are represented. — Let's see where this goes. Update 2 After discussing with their contact and requesting some changes regarding display of version (they had given the possibility to do so) and authorship they put the projects back up on their site. All in all a positive and definitely interesting experience.

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  • Easy (and amazing) Debian for the N900

    <b>Open Attitude:</b> "By the time you read this my Nokia N900 will be packed up and on its way back to the kind folks who let me test it. As a last hurrah I spent my evening yesterday seeing how far I could push it; the results are fairly spectacular..."

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  • Premature-Optimization and Performance Anxiety

    - by James Michael Hare
    While writing my post analyzing the new .NET 4 ConcurrentDictionary class (here), I fell into one of the classic blunders that I myself always love to warn about.  After analyzing the differences of time between a Dictionary with locking versus the new ConcurrentDictionary class, I noted that the ConcurrentDictionary was faster with read-heavy multi-threaded operations.  Then, I made the classic blunder of thinking that because the original Dictionary with locking was faster for those write-heavy uses, it was the best choice for those types of tasks.  In short, I fell into the premature-optimization anti-pattern. Basically, the premature-optimization anti-pattern is when a developer is coding very early for a perceived (whether rightly-or-wrongly) performance gain and sacrificing good design and maintainability in the process.  At best, the performance gains are usually negligible and at worst, can either negatively impact performance, or can degrade maintainability so much that time to market suffers or the code becomes very fragile due to the complexity. Keep in mind the distinction above.  I'm not talking about valid performance decisions.  There are decisions one should make when designing and writing an application that are valid performance decisions.  Examples of this are knowing the best data structures for a given situation (Dictionary versus List, for example) and choosing performance algorithms (linear search vs. binary search).  But these in my mind are macro optimizations.  The error is not in deciding to use a better data structure or algorithm, the anti-pattern as stated above is when you attempt to over-optimize early on in such a way that it sacrifices maintainability. In my case, I was actually considering trading the safety and maintainability gains of the ConcurrentDictionary (no locking required) for a slight performance gain by using the Dictionary with locking.  This would have been a mistake as I would be trading maintainability (ConcurrentDictionary requires no locking which helps readability) and safety (ConcurrentDictionary is safe for iteration even while being modified and you don't risk the developer locking incorrectly) -- and I fell for it even when I knew to watch out for it.  I think in my case, and it may be true for others as well, a large part of it was due to the time I was trained as a developer.  I began college in in the 90s when C and C++ was king and hardware speed and memory were still relatively priceless commodities and not to be squandered.  In those days, using a long instead of a short could waste precious resources, and as such, we were taught to try to minimize space and favor performance.  This is why in many cases such early code-bases were very hard to maintain.  I don't know how many times I heard back then to avoid too many function calls because of the overhead -- and in fact just last year I heard a new hire in the company where I work declare that she didn't want to refactor a long method because of function call overhead.  Now back then, that may have been a valid concern, but with today's modern hardware even if you're calling a trivial method in an extremely tight loop (which chances are the JIT compiler would optimize anyway) the results of removing method calls to speed up performance are negligible for the great majority of applications.  Now, obviously, there are those coding applications where speed is absolutely king (for example drivers, computer games, operating systems) where such sacrifices may be made.  But I would strongly advice against such optimization because of it's cost.  Many folks that are performing an optimization think it's always a win-win.  That they're simply adding speed to the application, what could possibly be wrong with that?  What they don't realize is the cost of their choice.  For every piece of straight-forward code that you obfuscate with performance enhancements, you risk the introduction of bugs in the long term technical debt of the application.  It will become so fragile over time that maintenance will become a nightmare.  I've seen such applications in places I have worked.  There are times I've seen applications where the designer was so obsessed with performance that they even designed their own memory management system for their application to try to squeeze out every ounce of performance.  Unfortunately, the application stability often suffers as a result and it is very difficult for anyone other than the original designer to maintain. I've even seen this recently where I heard a C++ developer bemoaning that in VS2010 the iterators are about twice as slow as they used to be because Microsoft added range checking (probably as part of the 0x standard implementation).  To me this was almost a joke.  Twice as slow sounds bad, but it almost never as bad as you think -- especially if you're gaining safety.  The only time twice is really that much slower is when once was too slow to begin with.  Think about it.  2 minutes is slow as a response time because 1 minute is slow.  But if an iterator takes 1 microsecond to move one position and a new, safer iterator takes 2 microseconds, this is trivial!  The only way you'd ever really notice this would be in iterating a collection just for the sake of iterating (i.e. no other operations).  To my mind, the added safety makes the extra time worth it. Always favor safety and maintainability when you can.  I know it can be a hard habit to break, especially if you started out your career early or in a language such as C where they are very performance conscious.  But in reality, these type of micro-optimizations only end up hurting you in the long run. Remember the two laws of optimization.  I'm not sure where I first heard these, but they are so true: For beginners: Do not optimize. For experts: Do not optimize yet. This is so true.  If you're a beginner, resist the urge to optimize at all costs.  And if you are an expert, delay that decision.  As long as you have chosen the right data structures and algorithms for your task, your performance will probably be more than sufficient.  Chances are it will be network, database, or disk hits that will be your slow-down, not your code.  As they say, 98% of your code's bottleneck is in 2% of your code so premature-optimization may add maintenance and safety debt that won't have any measurable impact.  Instead, code for maintainability and safety, and then, and only then, when you find a true bottleneck, then you should go back and optimize further.

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  • Alchemy like game for the web, open source. Any ideas for element combinations?

    - by JohnDel
    I created a web game like the Android game Alchemy. It's open source and in the back-end you can create your own elements / your own game. I was wondering what elements - ideas would be good to implement as a prototype / demo? Some ideas are: Colors Programming languages Chemical Compounds Same as the original alchemy Evolution of biological organisms What do you think? Any specific combination ideas?

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  • How do I fix my theme?

    - by SepiDev
    After installing and using Ubuntu 11.10 for while I decided to install gnome shell. After Installing and rebooting my system I saw that Ubuntu light theme (ambiance/radiance) is gone. I check /usr/shar/themes and /usr/shar/icons, it seems that the light themes and mono icons exist. I even reinstalled gtk3-engine-unico package but none of these effort fixed my problem :( my desktop now looks like this: What should I do to get my default ubuntu theme back?

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  • DNN World 2011

    - by bdukes
    We’re on the plane flying back to St. Louis from DNN World 2011 .  I gave a presentation titled DNN 6 UI/UX Patterns , discussing the form patterns introduced in the administrative modules in DNN 6 (the new look and feel that you immediately noticed after logging into your new DNN 6 site).  Many folks asked about seeing the examples that I presented, and they are available as a repository on github, at https://github.com/bdukes/DNN-World-Demos .  This includes a series of small, one...(read more)

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  • Need a Better Cleanup Tool [Humorous Image]

    - by Asian Angel
    Obviously some cleanup tools work better than others…and sometimes common sense cleanup is the best tool of all! Note: Notice the timeline in the image… View the Full-Size Version of the Image Got a sales guys laptop back… Note the times. [via Fail Desk] The Best Free Portable Apps for Your Flash Drive Toolkit How to Own Your Own Website (Even If You Can’t Build One) Pt 3 How to Sync Your Media Across Your Entire House with XBMC

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  • The SSIS tuning tip that everyone misses

    - by Rob Farley
    I know that everyone misses this, because I’m yet to find someone who doesn’t have a bit of an epiphany when I describe this. When tuning Data Flows in SQL Server Integration Services, people see the Data Flow as moving from the Source to the Destination, passing through a number of transformations. What people don’t consider is the Source, getting the data out of a database. Remember, the source of data for your Data Flow is not your Source Component. It’s wherever the data is, within your database, probably on a disk somewhere. You need to tune your query to optimise it for SSIS, and this is what most people fail to do. I’m not suggesting that people don’t tune their queries – there’s plenty of information out there about making sure that your queries run as fast as possible. But for SSIS, it’s not about how fast your query runs. Let me say that again, but in bolder text: The speed of an SSIS Source is not about how fast your query runs. If your query is used in a Source component for SSIS, the thing that matters is how fast it starts returning data. In particular, those first 10,000 rows to populate that first buffer, ready to pass down the rest of the transformations on its way to the Destination. Let’s look at a very simple query as an example, using the AdventureWorks database: We’re picking the different Weight values out of the Product table, and it’s doing this by scanning the table and doing a Sort. It’s a Distinct Sort, which means that the duplicates are discarded. It'll be no surprise to see that the data produced is sorted. Obvious, I know, but I'm making a comparison to what I'll do later. Before I explain the problem here, let me jump back into the SSIS world... If you’ve investigated how to tune an SSIS flow, then you’ll know that some SSIS Data Flow Transformations are known to be Blocking, some are Partially Blocking, and some are simply Row transformations. Take the SSIS Sort transformation, for example. I’m using a larger data set for this, because my small list of Weights won’t demonstrate it well enough. Seven buffers of data came out of the source, but none of them could be pushed past the Sort operator, just in case the last buffer contained the data that would be sorted into the first buffer. This is a blocking operation. Back in the land of T-SQL, we consider our Distinct Sort operator. It’s also blocking. It won’t let data through until it’s seen all of it. If you weren’t okay with blocking operations in SSIS, why would you be happy with them in an execution plan? The source of your data is not your OLE DB Source. Remember this. The source of your data is the NCIX/CIX/Heap from which it’s being pulled. Picture it like this... the data flowing from the Clustered Index, through the Distinct Sort operator, into the SELECT operator, where a series of SSIS Buffers are populated, flowing (as they get full) down through the SSIS transformations. Alright, I know that I’m taking some liberties here, because the two queries aren’t the same, but consider the visual. The data is flowing from your disk and through your execution plan before it reaches SSIS, so you could easily find that a blocking operation in your plan is just as painful as a blocking operation in your SSIS Data Flow. Luckily, T-SQL gives us a brilliant query hint to help avoid this. OPTION (FAST 10000) This hint means that it will choose a query which will optimise for the first 10,000 rows – the default SSIS buffer size. And the effect can be quite significant. First let’s consider a simple example, then we’ll look at a larger one. Consider our weights. We don’t have 10,000, so I’m going to use OPTION (FAST 1) instead. You’ll notice that the query is more expensive, using a Flow Distinct operator instead of the Distinct Sort. This operator is consuming 84% of the query, instead of the 59% we saw from the Distinct Sort. But the first row could be returned quicker – a Flow Distinct operator is non-blocking. The data here isn’t sorted, of course. It’s in the same order that it came out of the index, just with duplicates removed. As soon as a Flow Distinct sees a value that it hasn’t come across before, it pushes it out to the operator on its left. It still has to maintain the list of what it’s seen so far, but by handling it one row at a time, it can push rows through quicker. Overall, it’s a lot more work than the Distinct Sort, but if the priority is the first few rows, then perhaps that’s exactly what we want. The Query Optimizer seems to do this by optimising the query as if there were only one row coming through: This 1 row estimation is caused by the Query Optimizer imagining the SELECT operation saying “Give me one row” first, and this message being passed all the way along. The request might not make it all the way back to the source, but in my simple example, it does. I hope this simple example has helped you understand the significance of the blocking operator. Now I’m going to show you an example on a much larger data set. This data was fetching about 780,000 rows, and these are the Estimated Plans. The data needed to be Sorted, to support further SSIS operations that needed that. First, without the hint. ...and now with OPTION (FAST 10000): A very different plan, I’m sure you’ll agree. In case you’re curious, those arrows in the top one are 780,000 rows in size. In the second, they’re estimated to be 10,000, although the Actual figures end up being 780,000. The top one definitely runs faster. It finished several times faster than the second one. With the amount of data being considered, these numbers were in minutes. Look at the second one – it’s doing Nested Loops, across 780,000 rows! That’s not generally recommended at all. That’s “Go and make yourself a coffee” time. In this case, it was about six or seven minutes. The faster one finished in about a minute. But in SSIS-land, things are different. The particular data flow that was consuming this data was significant. It was being pumped into a Script Component to process each row based on previous rows, creating about a dozen different flows. The data flow would take roughly ten minutes to run – ten minutes from when the data first appeared. The query that completes faster – chosen by the Query Optimizer with no hints, based on accurate statistics (rather than pretending the numbers are smaller) – would take a minute to start getting the data into SSIS, at which point the ten-minute flow would start, taking eleven minutes to complete. The query that took longer – chosen by the Query Optimizer pretending it only wanted the first 10,000 rows – would take only ten seconds to fill the first buffer. Despite the fact that it might have taken the database another six or seven minutes to get the data out, SSIS didn’t care. Every time it wanted the next buffer of data, it was already available, and the whole process finished in about ten minutes and ten seconds. When debugging SSIS, you run the package, and sit there waiting to see the Debug information start appearing. You look for the numbers on the data flow, and seeing operators going Yellow and Green. Without the hint, I’d sit there for a minute. With the hint, just ten seconds. You can imagine which one I preferred. By adding this hint, it felt like a magic wand had been waved across the query, to make it run several times faster. It wasn’t the case at all – but it felt like it to SSIS.

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  • Migrate Your Site to TYPO3 CMS

    What else can you ask from a CMS system that gives you complete freedom from maintaining your site, coding, frequent changes, low cost of ownership, self administered back end and a lot more. This list can continue and go on and on. TYPO3 CMS has got many more advantages from the contemporary CMS systems. It is not only affable to the development community but also liked by most of the users who comes across this CMS.

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  • Why does Chrome video performance substantially degrade after waking from suspend in 10.10?

    - by Grant Heaslip
    Note: For some more details, some of which may not be true given what I've figured out, see this post. When I first boot my computer, video performance (both native H.264 HTML5 in YouTube and Vimeo, and in Flash) in Chrome is perfectly reasonable. CPU usage stays slow, everything works correctly, and the video is silky-smooth. But for whatever reason, if I suspend my computer then wake it up, video performance plummets. Full screen HTML5 video is choppy at best, and full-screen Flash video basically brings my computer to its knees (I'm talking less than a frame a second, and a 5 second lead time to leave full-screen after hitting Esc). Restarting Chrome doesn't fix this — I need to completely restart my machine before performance goes back to normal. Video performance in other applications, such as Movie Player, doesn't seem to be affected at all by the suspend cycle — it's only Chrome. I'm using a Lenovo X201, with an Intel GMA HD graphics chipset, and Intel compnents all around (I don't need any proprietary drivers). This didn't happen in 10.04, and I haven't anything that I think would have caused this to happen. It's possible that a Chrome release could have caused this, but it seems less likely than a regression between 10.04 and 10.10. Any ideas? EDIT: In response Georg's comment, logging in and out doesn't fix it. Restarting Compiz or switching to Metacity (at least by using "compiz/metacity --replace & disown" — am I doing it right?) doesn't help (actually, it seemed to help somewhat with Flash once, but I haven't been able to reproduce this). I'm not sure about GDM — when I use "sudo restart gdm" I get kicked back to the Linux shell (?), which I have no idea how to get out of. Also, I want to make very clear that this isn't just a case of Flash sucking (it does,but that's beside the point). I"m seeing the same general problem with HTML5 videos, and Flash is performing better on my Nexus One than it does on my Core i5 laptop. There's something screwy going on with Chrome and/or 10.10.

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  • Web Designer and/or Developer

    - by chimps
    we've outsourced our app development, the dev's have created a DB hosted on Amazon-EC2. we're in talks with a web designer for website but the designer does not do any backend integration. i.e connect the website with DB created by app developers do you recommend getting designs from the designer and getting a freelancer to do the front-back end integration, I mean would there be issues/complications? Or go with designer who provides the complete package?

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  • Boot Problem in Asus EEE PC 1015CX

    - by Sâmrat VikrãmAdityá
    I am a newbie to Linux world, although I have previously worked on Ubuntu 11.04 for daily use (Net Access and simple recordings using Audacity). I am not sure, at what level I stand as a newbie. I bought this Asus Eee PC two days back. The model is Asus 1015CX. See the specs here http://www.flipkart.com/asus-1015cx-blk011w-laptop-2nd-gen-atom-dual-core-1gb-320gb-linux/p/itmd8qu4quzu8srr . I created a live USB to install 12.10. The usb booted fine. When I clicked "Try Ubuntu" option, it showed me a black screen with a cursor blinking. I waited for 15 minutes and had to restart using the power button. On clicking the "Install Ubuntu" button, the install process went seamlessly. [I have a Windows7 installed on one of the partitions]. i installed it alongside previous windows installation. The system was then rebooted for the first time. It showed the GRUB menu and I selected the first option Ubuntu. After showing the splash screen for a second, it began showing various messages on a black screen and then it struck on "Stopping Save kernel state message". I had to force shut the system using power button. Sometimes it just gives a blank screen with a cursor blinking and on pressing power button, some messages stating that acpid is doing something and stopping services pops up and the system shuts down. I tried booting with "nomodeset" and other parameters as directed in solution to previous such problems on forums. Also Ctrl+Alt+F1,F2,F3,F4,F5,F6..F12 is not doing anything for me anywhere. At installation, I checked Login automatically option. On booting into recovery several options comes up. Clicking resume just gives me a blank screen with cursor blinking. on dropping to root shell and remounting filesystem as RW, I am able to supply some command that worked for others. startx -- Several messages comes up with last one stating Fatal error: No screen found sudo service lightdm start -- Gives a blank screen with a cursor blinking lspci | grep VGA -- Shows some Intel Integrated Graphic... something I don't remember I had reconfigured xserver-xorg, lightdm, reinstalled ubuntu-desktop, unity. What should I do..?? Will going back to 11.04 work..?? Or I should leave all hopes of running Ubuntu on my netbook. Please help.

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  • are there any opensource VGA drivers

    - by blade19899
    are there any open-source VGA drivers i seem to remember that back when i was using 10.10 or an older one that people where writing some opensource vga drivers for linux but i can't seem to find a webpage for that project? i was wondering cause i like the idea and want to install it and report bug fixes cause ubuntu with opensource VGA drivers somehow I find the idea to be fun and who knows maybe they will be even better/stable than the proprietary versions

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  • Returning null vs Throwing exceptions

    - by Svish
    Is in a bit of disagreement with a more experienced developer on this issue, and was wondering what you guys here think about this. Environment is Java, EJB 3, services, etc. The code I wrote calls a service to get things and to create things. Problem was that I got null pointer exceptions in places that didn't make sense. For example when I asked the service to create an object, I got null back. And when I tried to look up an object with an id I knew existed, I still got null back. Was like it was ignoring me. Spent some time trying to figure out what was wrong in my code (since I'm less experienced I usually assume I have messed up). Turns out the reason was security. If the user principal using my service didn't have the right permissions to use the service I called from my service, then that service simply returned null. The services that are here already are usually not documented either, so this is just something you have to know... somehow... So here is the thing: I mean that this is rather confusing as a developer interacting with this service. To me it would make much more sense if that service thew an exception which would tell me that hey, you don't have the proper permissions to get info about this thing or to create this new thing. I would then immediately know why my service wasn't working as expected. However, he argued that asking is not wrong. Exceptions should only be thrown when there is an error and asking for a thing is not an error. Even if you don't have permission to "see" that the thing you asked for. The things are often looked up in a GUI by users and for those users not having the right permissions, these things simply "do not exist". So, in short: Asking is not wrong, hence no exception. Get methods return null because to those users those things "doesn't exist". Create methods return null because nothing was created, since the user wasn't allowed to create anything. So, what do you guys think? Is this normal and/or good practice? I prefer exceptions as I prefer throwing and catching exceptions because I find it much easier to know what's going on. So I would for example also prefer to throw a NotFoundException if you asked for an id which didn't exist, rather than returning null. Anyways, just curious to what others think about this as I'm not the most experienced developer yet.

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  • October Update to Rules-Driven Maintenance

    - by merrillaldrich
    Happy Fall! It’s a beautiful October here in Minneapolis / Saint Paul. In preparation for my home town SQL Saturday this weekend, as well as the PASS Summit, I offer an update to the Rules-Driven Maintenance code I originally published back in August 2012 . It’s hard to believe this thing is now more than two years old – it’s been an incredible help as the number of databases and instance my team manages has grown. One enhancement with this update is the ability to set overrides for both Index and...(read more)

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  • Run script after switching user account "to the same account"

    - by Peter Sivák
    In Ubuntu, when I click on Switch User Account... and then choose the same account to log in (for example if my name is John Smith, I click on switch user account and then log into the John Smith account again), how can I run a script after that? (I know, that I can run a script after "first" login by putting it in /etc/profile file, but this script is not executed again when I choose switch user account and then immediately log in back to the same account.)

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  • WebCenter Customer Spotlight: Los Angeles Department of Water and Power

    - by me
    Author: Peter Reiser - Social Business Evangelist, Oracle WebCenter  Solution Summary Los Angeles Department of Water and Power (LADWP) is the largest public utility company in the United States with over 1.6 million customers. LADWP provides water and power for millions of residential & commercial customers in Southern California. The goal of the project was to implement a newly designed web portal to increase customer self-service while reducing transactions via IVR and automate many of the paper based processes to web based workflows for their 1.6 million customers. LADWP implemented a Self Service Portal using Oracle WebCenter Portal & Oracle WebCenter Content and Oracle SOA Suite for the integration of their complex back-end systems infrastructure. The new portal has received extremely positive feedback from not only the customers and users of the portal, but also other utilities. At Oracle OpenWorld 2012, LADWP won the prestigious WebCenter innovation award for their innovative solution. Company OverviewLos Angeles Department of Water and Power (LADWP) is the largest public utility company in the United States with over 1.6 million customers. LADWP provides water and power for millions of residential & commercial customers in Southern California. LADWP also bills most of these customers for sanitation services provided by another department in the city of Los Angeles.  Business ChallengesThe goal of the project was to implement a newly designed web portal that is easy to navigate from a web browser and mobile devices, as well as be the platform for surfacing internet and intranet applications at LADWP. The primary objective of the new portal was to increase customer self-service while reducing the transactions via IVR and walk-up and to automate many of the paper based processes to web based workflows for customers. This includes automation of Self Service implemented through My Account (Bill Pay, Payment History, Bill History, Usage analysis, Service Request Management) Financial Assistance Programs Customer Rebate Programs Turn Off/Turn On/Transfer of Services Outage Reporting eNotification (SMS, email) Solution DeployedLADWP implemented a Self Service Portal using Oracle WebCenter Portal & Oracle WebCenter Content. Using Oracle SOA Suite they integrated various back-end systems including Oracle Siebel CRM IBM Mainframe based CIS FILENET for document management EBP Eletronic Bill Payment System HP Imprint System for BillXML data Other systems including outage reporting systems, SMS service, etc. The new portal’s features include: Complete Graphical redesign based on best practices in UI Design for high usability Customer Self Service implemented through MyAccount (Bill Pay, Payment History, Bill History, Usage Analysis, Service Request Management) Financial Assistance Programs (CRM, WebCenter) Customer Rebate Programs (CRM, WebCenter) Turn On/Off/Transfer of services (Commercial & Residential) Outage Reporting eNotification (SMS, email) Multilingual (English & Spanish) – using WebCenter multi-language support Section 508 (ADA) Compliant Search – Using WebCenter SES (Secured Enterprise Search) Distributed Authorship in WebCenter Content Mobile Access (any Mobile Browser) Business ResultsThe new portal has received extremely positive feedback from not only customers and users of the portal, but also other utilities. At Oracle OpenWorld 2012, LADWP won the prestigious WebCenter innovation award for their innovative solution. Additional Information LADWP OpenWorld presentation Oracle WebCenter Portal Oracle WebCenter Content Oracle SOA Suite

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  • Running 12.04 on a Dell Inspiron 1545 having random system lockups

    - by Kris
    I just reinstalled a fresh 12.04 because I couldn't even get booted on my previous installation anymore. I just installed 8GB of ram on this laptop, but the problem happened even before this, and all I have installed in this run on Ubuntu is: ia32libs, Oracle JDK7 and the 32bit JRE junipernc jupiter The laptop has never been used very heavily, so could someone get back to me on this, let me know what further information you need about my machine, or files to upload. Thanks!

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  • DBCC CHECKDB on VVLDB and latches (Or: My Pain is Your Gain)

    - by Argenis
      Does your CHECKDB hurt, Argenis? There is a classic blog series by Paul Randal [blog|twitter] called “CHECKDB From Every Angle” which is pretty much mandatory reading for anybody who’s even remotely considering going for the MCM certification, or its replacement (the Microsoft Certified Solutions Master: Data Platform – makes my fingers hurt just from typing it). Of particular interest is the post “Consistency Options for a VLDB” – on it, Paul provides solid, timeless advice (I use the word “timeless” because it was written in 2007, and it all applies today!) on how to perform checks on very large databases. Well, here I was trying to figure out how to make CHECKDB run faster on a restored copy of one of our databases, which happens to exceed 7TB in size. The whole thing was taking several days on multiple systems, regardless of the storage used – SAS, SATA or even SSD…and I actually didn’t pay much attention to how long it was taking, or even bothered to look at the reasons why - as long as it was finishing okay and found no consistency errors. Yes – I know. That was a huge mistake, as corruption found in a database several days after taking place could only allow for further spread of the corruption – and potentially large data loss. In the last two weeks I increased my attention towards this problem, as we noticed that CHECKDB was taking EVEN LONGER on brand new all-flash storage in the SAN! I couldn’t really explain it, and were almost ready to blame the storage vendor. The vendor told us that they could initially see the server driving decent I/O – around 450Mb/sec, and then it would settle at a very slow rate of 10Mb/sec or so. “Hum”, I thought – “CHECKDB is just not pushing the I/O subsystem hard enough”. Perfmon confirmed the vendor’s observations. Dreaded @BlobEater What was CHECKDB doing all the time while doing so little I/O? Eating Blobs. It turns out that CHECKDB was taking an extremely long time on one of our frankentables, which happens to be have 35 billion rows (yup, with a b) and sucks up several terabytes of space in the database. We do have a project ongoing to purge/split/partition this table, so it’s just a matter of time before we deal with it. But the reality today is that CHECKDB is coming to a screeching halt in performance when dealing with this particular table. Checking sys.dm_os_waiting_tasks and sys.dm_os_latch_stats showed that LATCH_EX (DBCC_OBJECT_METADATA) was by far the top wait type. I remembered hearing recently about that wait from another post that Paul Randal made, but that was related to computed-column indexes, and in fact, Paul himself reminded me of his article via twitter. But alas, our pathologic table had no non-clustered indexes on computed columns. I knew that latches are used by the database engine to do internal synchronization – but how could I help speed this up? After all, this is stuff that doesn’t have a lot of knobs to tweak. (There’s a fantastic level 500 talk by Bob Ward from Microsoft CSS [blog|twitter] called “Inside SQL Server Latches” given at PASS 2010 – and you can check it out here. DISCLAIMER: I assume no responsibility for any brain melting that might ensue from watching Bob’s talk!) Failed Hypotheses Earlier on this week I flew down to Palo Alto, CA, to visit our Headquarters – and after having a great time with my Monkey peers, I was relaxing on the plane back to Seattle watching a great talk by SQL Server MVP and fellow MCM Maciej Pilecki [twitter] called “Masterclass: A Day in the Life of a Database Transaction” where he discusses many different topics related to transaction management inside SQL Server. Very good stuff, and when I got home it was a little late – that slow DBCC CHECKDB that I had been dealing with was way in the back of my head. As I was looking at the problem at hand earlier on this week, I thought “How about I set the database to read-only?” I remembered one of the things Maciej had (jokingly) said in his talk: “if you don’t want locking and blocking, set the database to read-only” (or something to that effect, pardon my loose memory). I immediately killed the CHECKDB which had been running painfully for days, and set the database to read-only mode. Then I ran DBCC CHECKDB against it. It started going really fast (even a bit faster than before), and then throttled down again to around 10Mb/sec. All sorts of expletives went through my head at the time. Sure enough, the same latching scenario was present. Oh well. I even spent some time trying to figure out if NUMA was hurting performance. Folks on Twitter made suggestions in this regard (thanks, Lonny! [twitter]) …Eureka? This past Friday I was still scratching my head about the whole thing; I was ready to start profiling with XPERF to see if I could figure out which part of the engine was to blame and then get Microsoft to look at the evidence. After getting a bunch of good news I’ll blog about separately, I sat down for a figurative smack down with CHECKDB before the weekend. And then the light bulb went on. A sparse column. I thought that I couldn’t possibly be experiencing the same scenario that Paul blogged about back in March showing extreme latching with non-clustered indexes on computed columns. Did I even have a non-clustered index on my sparse column? As it turns out, I did. I had one filtered non-clustered index – with the sparse column as the index key (and only column). To prove that this was the problem, I went and setup a test. Yup, that'll do it The repro is very simple for this issue: I tested it on the latest public builds of SQL Server 2008 R2 SP2 (CU6) and SQL Server 2012 SP1 (CU4). First, create a test database and a test table, which only needs to contain a sparse column: CREATE DATABASE SparseColTest; GO USE SparseColTest; GO CREATE TABLE testTable (testCol smalldatetime SPARSE NULL); GO INSERT INTO testTable (testCol) VALUES (NULL); GO 1000000 That’s 1 million rows, and even though you’re inserting NULLs, that’s going to take a while. In my laptop, it took 3 minutes and 31 seconds. Next, we run DBCC CHECKDB against the database: DBCC CHECKDB('SparseColTest') WITH NO_INFOMSGS, ALL_ERRORMSGS; This runs extremely fast, as least on my test rig – 198 milliseconds. Now let’s create a filtered non-clustered index on the sparse column: CREATE NONCLUSTERED INDEX [badBadIndex] ON testTable (testCol) WHERE testCol IS NOT NULL; With the index in place now, let’s run DBCC CHECKDB one more time: DBCC CHECKDB('SparseColTest') WITH NO_INFOMSGS, ALL_ERRORMSGS; In my test system this statement completed in 11433 milliseconds. 11.43 full seconds. Quite the jump from 198 milliseconds. I went ahead and dropped the filtered non-clustered indexes on the restored copy of our production database, and ran CHECKDB against that. We went down from 7+ days to 19 hours and 20 minutes. Cue the “Argenis is not impressed” meme, please, Mr. LaRock. My pain is your gain, folks. Go check to see if you have any of such indexes – they’re likely causing your consistency checks to run very, very slow. Happy CHECKDBing, -Argenis ps: I plan to file a Connect item for this issue – I consider it a pretty serious bug in the engine. After all, filtered indexes were invented BECAUSE of the sparse column feature – and it makes a lot of sense to use them together. Watch this space and my twitter timeline for a link.

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  • How you return to a code when you don't remember what you were doing?

    - by speeder
    Well, I have some problems with procrastination and whatnot, but those get infinitely worse, when I cannot remember what I should be doing. I mean, I know my project, I wrote 100% of the code so far, and I knew more or less what I was doing, but I don't remember exactly what, I don't remember what file I was editing and why. How I get back on track? (because right now my technique of opening the source code and staring at it is not working)

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  • Taking 10 minutes to boot up!

    - by oshirowanen
    Just added 2 pci-e to ide cards in my computer so I can use 2 old ide hard drives. Everything works fine, except the OS booting time has gone from about 10 seconds to about 10 minutes... I'f I remove both cards, it takes about 10 seconds to boot up, if I add either 1 of the cards back in, it still takes 10 seconds to boot up, but as soon as I have both cards in, it takes about 10 minutes. Why would this be happening?

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  • The Diabolical Developer: What You Need to Do to Become Awesome

    - by Tori Wieldt
    Wearing sunglasses and quite possibly hungover, Martijn Verburg's evil persona provided key tips on how to be a Diabolical Developer. His presentation at TheServerSide Java Symposium was heavy on the sarcasm and provided lots of laughter. Martijn insisted that developers take their power back and get rid of all the "modern fluff" that distract developers.He provided several key tips to become a Diabolical Developer:*Learn only from yourself. Don't read blogs or books, and don't attend conferences. If you must go on forums, only do it display your superiority, answer as obscurely as possible.*Work aloneBest coding happens when you alone in your room, lock yourself in for days. Make sure you have a gaming machine in with you.*Keep information to yourselfKnowledge is power. Think job security. Never provide documentation. *Make sure only you can read your code.Don't put comments in your code. Name your variables A,B,C....A1,B1, etc.If someone insists you format your in a standard way, change a small section and revert it back as soon as they walk away from your screen. *Stick to what you knowStay on Java 1.3. Don't bother learning abstractions. Write your application in a single file. Stuff as much code into one class as possible, a 30,000-line class is fine. Makes it easier for you to read and maintain.*Use Real ToolsNo "fancy-pancy" IDEs. Real developers only use vi.*Ignore FadsThe cloud is massively overhyped. Mobile is a big fad for young kids.The big, clunky desktop computer (with a real keyboard) will return.Learn new stuff only to pad your resume. Ajax is great for that. *Skip TestingTest-driven development is a complete waste of time. They sent men to the moon without unit tests.Just write your code properly in the first place and you don't need tests.*Compiled = Ship ItUser acceptance testing is an absolute waste of time. *Use a Single ThreadDon't use multithreading. All you need to do is throw more hardware at the problem.*Don't waste time on SEO.If you've written the contract correctly, you are paid for writing code, not attracting users.You don't want a lot of users, they only report problems. *Avoid meetingsFake being sick to avoid meetings. If you are forced into a meeting, play corporate bingo.Once you stand up and shout "bingo" you will kicked out of the meeting. Job done.Follow these tips and you'll be well on your way to being a Diabolical Developer!

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