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  • Using a portable USB monitor in Ubuntu 13.04 (AOC e1649Fwu - DisplayLink)

    Having access to a little bit of IT hardware extravaganza isn't that easy here in Mauritius for exactly two reasons - either it is simply not available or it is expensive like nowhere. Well, by chance I came across an advert by a local hardware supplier and their offer of the week caught my attention - a portable USB monitor. Sounds cool, and the specs are okay as well. It's completely driven via USB 2.0, has a light weight, the dimensions would fit into my laptop bag and the resolution of 1366 x 768 pixels is okay for a second screen. Long story, short ending: I called them and only got to understand that they are out of stock - how convenient! Well, as usual I left some contact details and got the regular 'We call you back' answer. Surprisingly, I didn't receive a phone call as promised and after starting to complain via social media networks they finally came back to me with new units available - and *drum-roll* still the same price tag as promoted (and free delivery on top as one of their employees lives in Flic en Flac). Guess, it was a no-brainer to get at least one unit to fool around with. In worst case it might end up as image frame on the shelf or so... The usual suspects... Ubuntu first! Of course, the packing mentions only Windows or Mac OS as supported operating systems and without hesitation at all, I hooked up the device on my main machine running on Ubuntu 13.04. Result: Blackout... Hm, actually not the situation I was looking for but okay can't be too difficult to get this piece of hardware up and running. Following the output of syslogd (or dmesg if you prefer) the device has been recognised successfully but we got stuck in the initialisation phase. Oct 12 08:17:23 iospc2 kernel: [69818.689137] usb 2-4: new high-speed USB device number 5 using ehci-pciOct 12 08:17:23 iospc2 kernel: [69818.800306] usb 2-4: device descriptor read/64, error -32Oct 12 08:17:24 iospc2 kernel: [69819.043620] usb 2-4: New USB device found, idVendor=17e9, idProduct=4107Oct 12 08:17:24 iospc2 kernel: [69819.043630] usb 2-4: New USB device strings: Mfr=1, Product=2, SerialNumber=3Oct 12 08:17:24 iospc2 kernel: [69819.043636] usb 2-4: Product: e1649FwuOct 12 08:17:24 iospc2 kernel: [69819.043642] usb 2-4: Manufacturer: DisplayLinkOct 12 08:17:24 iospc2 kernel: [69819.043647] usb 2-4: SerialNumber: FJBD7HA000778Oct 12 08:17:24 iospc2 kernel: [69819.046073] hid-generic 0003:17E9:4107.0008: hiddev0,hidraw5: USB HID v1.10 Device [DisplayLink e1649Fwu] on usb-0000:00:1d.7-4/input1Oct 12 08:17:24 iospc2 mtp-probe: checking bus 2, device 5: "/sys/devices/pci0000:00/0000:00:1d.7/usb2/2-4"Oct 12 08:17:24 iospc2 mtp-probe: bus: 2, device: 5 was not an MTP deviceOct 12 08:17:30 iospc2 kernel: [69825.411220] [drm] vendor descriptor length:17 data:17 5f 01 00 15 05 00 01 03 00 04Oct 12 08:17:30 iospc2 kernel: [69825.498778] udl 2-4:1.0: fb1: udldrmfb frame buffer deviceOct 12 08:17:30 iospc2 kernel: [69825.498786] [drm] Initialized udl 0.0.1 20120220 on minor 1Oct 12 08:17:30 iospc2 kernel: [69825.498909] usbcore: registered new interface driver udl The device has been recognised as USB device without any question and it is listed properly: # lsusb...Bus 002 Device 005: ID 17e9:4107 DisplayLink ... A quick and dirty research on the net gave me some hints towards the udlfb framebuffer device for USB DisplayLink devices. By default this kernel module is blacklisted $ less /etc/modprobe.d/blacklist-framebuffer.conf | grep udl#blacklist udlblacklist udlfb and it is recommended to load it manually. So, unloading the whole udl stack and giving udlfb a shot: Oct 12 08:22:31 iospc2 kernel: [70126.642809] usbcore: registered new interface driver udlfb But still no reaction on the external display which supposedly should have been on and green. Display okay? Test run on Windows Just to be on the safe side and to exclude any hardware related defects or whatsoever - you never know what happened during delivery. I moved the display to a new position on the opposite side of my laptop, installed the display drivers first in Windows Vista (I know, I know...) as recommended in the manual, and then finally hooked it up on that machine. Tada! Display has been recognised correctly and I have a proper choice between cloning and extending my desktop. Testing whether the display is working properly - using Windows Vista Okay, good to know that there is nothing wrong on the hardware side just software... Back to Ubuntu - Kernel too old Some more research on Google and various hits recommend that the original displaylink driver has been merged into the recent kernel development and one should manually upgrade the kernel image (and both header) packages for Ubuntu. At least kernel 3.9 or higher would be necessary, and so I went out to this URL: http://kernel.ubuntu.com/~kernel-ppa/mainline/ and I downloaded all the good stuff from the v3.9-raring directory. The installation itself is easy going via dpkg: $ sudo dpkg -i linux-image-3.9.0-030900-generic_3.9.0-030900.201304291257_amd64.deb$ sudo dpkg -i linux-headers-3.9.0-030900_3.9.0-030900.201304291257_all.deb$ sudo dpkg -i linux-headers-3.9.0-030900-generic_3.9.0-030900.201304291257_amd64.deb As with any kernel upgrades it is necessary to restart the system in order to use the new one. Said and done: $ uname -r3.9.0-030900-generic And now connecting the external display gives me the following output in /var/log/syslog: Oct 12 17:51:36 iospc2 kernel: [ 2314.984293] usb 2-4: new high-speed USB device number 6 using ehci-pciOct 12 17:51:36 iospc2 kernel: [ 2315.096257] usb 2-4: device descriptor read/64, error -32Oct 12 17:51:36 iospc2 kernel: [ 2315.337105] usb 2-4: New USB device found, idVendor=17e9, idProduct=4107Oct 12 17:51:36 iospc2 kernel: [ 2315.337115] usb 2-4: New USB device strings: Mfr=1, Product=2, SerialNumber=3Oct 12 17:51:36 iospc2 kernel: [ 2315.337122] usb 2-4: Product: e1649FwuOct 12 17:51:36 iospc2 kernel: [ 2315.337127] usb 2-4: Manufacturer: DisplayLinkOct 12 17:51:36 iospc2 kernel: [ 2315.337132] usb 2-4: SerialNumber: FJBD7HA000778Oct 12 17:51:36 iospc2 kernel: [ 2315.338292] udlfb: DisplayLink e1649Fwu - serial #FJBD7HA000778Oct 12 17:51:36 iospc2 kernel: [ 2315.338299] udlfb: vid_17e9&pid_4107&rev_0129 driver's dlfb_data struct at ffff880117e59000Oct 12 17:51:36 iospc2 kernel: [ 2315.338303] udlfb: console enable=1Oct 12 17:51:36 iospc2 kernel: [ 2315.338306] udlfb: fb_defio enable=1Oct 12 17:51:36 iospc2 kernel: [ 2315.338309] udlfb: shadow enable=1Oct 12 17:51:36 iospc2 kernel: [ 2315.338468] udlfb: vendor descriptor length:17 data:17 5f 01 0015 05 00 01 03 00 04Oct 12 17:51:36 iospc2 kernel: [ 2315.338473] udlfb: DL chip limited to 1500000 pixel modesOct 12 17:51:36 iospc2 kernel: [ 2315.338565] udlfb: allocated 4 65024 byte urbsOct 12 17:51:36 iospc2 kernel: [ 2315.343592] hid-generic 0003:17E9:4107.0009: hiddev0,hidraw5: USB HID v1.10 Device [DisplayLink e1649Fwu] on usb-0000:00:1d.7-4/input1Oct 12 17:51:36 iospc2 mtp-probe: checking bus 2, device 6: "/sys/devices/pci0000:00/0000:00:1d.7/usb2/2-4"Oct 12 17:51:36 iospc2 mtp-probe: bus: 2, device: 6 was not an MTP deviceOct 12 17:51:36 iospc2 kernel: [ 2315.426583] udlfb: 1366x768 @ 59 Hz valid modeOct 12 17:51:36 iospc2 kernel: [ 2315.426589] udlfb: Reallocating framebuffer. Addresses will change!Oct 12 17:51:36 iospc2 kernel: [ 2315.428338] udlfb: 1366x768 @ 59 Hz valid modeOct 12 17:51:36 iospc2 kernel: [ 2315.428343] udlfb: set_par mode 1366x768Oct 12 17:51:36 iospc2 kernel: [ 2315.430620] udlfb: DisplayLink USB device /dev/fb1 attached. 1366x768 resolution. Using 4104K framebuffer memory Okay, that's looks more promising but still only blackout on the external screen... And yes, due to my previous modifications I swapped the blacklisted kernel modules: $ less /etc/modprobe.d/blacklist-framebuffer.conf | grep udlblacklist udl#blacklist udlfb Silly me! Okay, back to the original situation in which udl is allowed and udlfb blacklisted. Now, the logging looks similar to this and the screen shows those maroon-brown and azure-blue horizontal bars as described on other online resources. Oct 15 21:27:23 iospc2 kernel: [80934.308238] usb 2-4: new high-speed USB device number 5 using ehci-pciOct 15 21:27:23 iospc2 kernel: [80934.420244] usb 2-4: device descriptor read/64, error -32Oct 15 21:27:24 iospc2 kernel: [80934.660822] usb 2-4: New USB device found, idVendor=17e9, idProduct=4107Oct 15 21:27:24 iospc2 kernel: [80934.660832] usb 2-4: New USB device strings: Mfr=1, Product=2, SerialNumber=3Oct 15 21:27:24 iospc2 kernel: [80934.660838] usb 2-4: Product: e1649FwuOct 15 21:27:24 iospc2 kernel: [80934.660844] usb 2-4: Manufacturer: DisplayLinkOct 15 21:27:24 iospc2 kernel: [80934.660850] usb 2-4: SerialNumber: FJBD7HA000778Oct 15 21:27:24 iospc2 kernel: [80934.663391] hid-generic 0003:17E9:4107.0008: hiddev0,hidraw5: USB HID v1.10 Device [DisplayLink e1649Fwu] on usb-0000:00:1d.7-4/input1Oct 15 21:27:24 iospc2 mtp-probe: checking bus 2, device 5: "/sys/devices/pci0000:00/0000:00:1d.7/usb2/2-4"Oct 15 21:27:24 iospc2 mtp-probe: bus: 2, device: 5 was not an MTP deviceOct 15 21:27:25 iospc2 kernel: [80935.742407] [drm] vendor descriptor length:17 data:17 5f 01 00 15 05 00 01 03 00 04Oct 15 21:27:25 iospc2 kernel: [80935.834403] udl 2-4:1.0: fb1: udldrmfb frame buffer deviceOct 15 21:27:25 iospc2 kernel: [80935.834416] [drm] Initialized udl 0.0.1 20120220 on minor 1Oct 15 21:27:25 iospc2 kernel: [80935.836389] usbcore: registered new interface driver udlOct 15 21:27:25 iospc2 kernel: [80936.021458] [drm] write mode info 153 Next, it's time to enable the display for our needs... This can be done either via UI or console, just as you'd prefer it. Adding the external USB display under Linux isn't an issue after all... Settings Manager => Display Personally, I like the console. With the help of xrandr we get the screen identifier first $ xrandrScreen 0: minimum 320 x 200, current 3200 x 1080, maximum 32767 x 32767LVDS1 connected 1280x800+0+0 (normal left inverted right x axis y axis) 331mm x 207mm...DVI-0 connected 1366x768+0+0 (normal left inverted right x axis y axis) 344mm x 193mm   1366x768       60.0*+ and then give it the usual shot with auto-configuration. Let the system decide what's best for your hardware... $ xrandr --output DVI-0 --off$ xrandr --output DVI-0 --auto And there we go... Cloned output of main display: New kernel, new display... The external USB display works out-of-the-box with a Linux kernel > 3.9.0. Despite of a good number of resources it is absolutely not necessary to create a Device or Screen section in one of Xorg.conf files. This information belongs to the past and is not valid on kernel 3.9 or higher. Same hardware but Windows 8 Of course, I wanted to know how the latest incarnation from Redmond would handle the new hardware... Flawless! Most interesting aspect here: I did not use the driver installation medium on purpose. And I was right... not too long afterwards a dialog with the EULA of DisplayLink appeared on the main screen. And after confirmation of same it took some more seconds and the external USB monitor was ready to rumble. Well, and not only that one... but see for yourself. This time Windows 8 was the easiest solution after all. Resume I can highly recommend this type of hardware to anyone asking me. Although, it's dimensions are 15.6" it is actually lighter than my Samsung Galaxy Tab 10.1 and it still fits into my laptop bag without any issues. From now on... no more single screen while developing software on the road!

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  • HTG Explains: Just How Bad Are Android Tablet Apps?

    - by Chris Hoffman
    Apple loves to criticize the state of Android tablet apps when pushing its own iPad tablets. But just how bad is the Android tablet app situation? Should you avoid Android tablets like the Nexus 7 because of the apps? It’s clear that Apple’s iPad is way ahead when it comes to the sheer quantity of tablet-optimized apps. It’s also clear that some popular apps — particularly touch-optimized games — only show up on iPad. But that’s not the whole story. The Basics First, let’s get an idea of the basic stuff that will work well for you on Android. An excellent web browser. Chrome has struggled with performance on Android, but hits its stride on the Nexus 7 (2013). Great, tablet-optimized apps for all of Google’s services, from YouTube to Gmail and Google Maps. Everything you need for reading, from Amazon’s Kindle app for eBooks, Flipboard and Feedly for new articles from websites, and other services like the popular Pocket read-it-later service. Apps for most popular media services, from Netflix, Hulu, and YouTube for videos to Pandora, Spotify, and Rdio for music. A few things aren’t available — you won’t find Apple’s iTunes and Amazon still doesn’t offer an Amazon Instant Video app for Android, while they do for iPad and even their own Android-based Kindle Fire devices. Android has very good app coverage when it comes to consuming content, whether you’re reading websites and ebooks or watching videos and listening to music. You can play almost any Android smartphone game, too. For content consumption, Android is better than something like Windows 8, which lacks apps for Google services like YouTube and still doesn’t have apps for popular media services like Spotify and Rdio. How Android Scales Smartphone Apps Let’s look at how Android scales smartphone apps. Now, bear with us here — we know “scaling” is a dirty word considering how poorly Apple’s iPad scales iPhone apps, but it’s not as bad on Android. When an iPad runs an iPhone app, it simply doubles the pixels and effectively zooms in. For example, if you had  Twitter app with five tweets visible at once on an iPhone and ran the same app on an iPad, the iPad would simply “zoom in” and enlarge the same screen — you’d still see five tweets, but each tweet would appear larger. This is why developers create optimized iPad apps with their own interfaces. It’s especially important on Apple’s iOS. Android devices come in all shapes and sizes, so Android apps have a smarter, more intelligent way to adapt to different screen sizes. Let’s say you have a Twitter app designed for smartphones and it only shows five tweets at once when run on a phone. If you ran the same app on a tablet, you wouldn’t see the same five tweets — you’d see ten or more tweets. Rather than simply zooming in, the app can show more content at the same time on a tablet, even if it was never optimized for tablet-size screens. While apps designed for smartphones aren’t generally ideal, they adapt much better on Android than they do on an iPad. This is particularly true when it comes to games. You’re capable of playing almost any Android smartphone game on an Android tablet, and games generally adapt very well to the larger screen. This gives you access to a huge catalog of games. It’s a great option to have, especially when you look at Microsoft’s Window 8 and consider how much better the touch-based app and game selection would be if Microsoft allowed its users to run Windows Phone games on Windows 8. 7-inch vs 10-inch Tablets The Twitter example above wasn’t just an example. The official Twitter app for Android still doesn’t have a tablet-optimized interface, so this is the sort of situation you’d have to deal with on an Android tablet. On the popular Nexus 7, Twitter is an example of a smartphone app that actually works fairly well — in portrait mode, you can see many more tweets on screen at the same time and none of the space really feels all that wasted. This is important to consider — smartphone apps like Twitter often scale quite well to 7-inch screens because a 7-inch screen is much closer in form factor to a smartphone than a 10-inch screen is. When you begin to look at 10-inch Android tablets that are the same size as an iPad, the situation changes. While the Twitter app works well enough on a Nexus 7, it looks horrible on a Nexus 10 or other 10-inch tablet. Running many smartphone-designed apps — possible with the exception of games — on a 10-inch tablet is a frustrating, poor experience. There’s much more white, empty space in the interface. It feels like you’re using a smartphone app on a large screen, and what’s the point of that? A tablet-optimized Twitter app for Android is finally on its way, but this same situation will repeat with many other types of apps. For example, Facebook doesn’t offer a tablet-optimized interface, but it’s okay on a Nexus 7 anyway. On a 10-inch screen, it probably wouldn’t be anywhere near as nice an experience. It goes without saying that Facebook and Twitter both offer iPad apps with interfaces designed for a tablet-size screen. Here’s another problematic app — the official Yelp app for Android. Even just using it on a 7-inch Nexus 7 will be a poor experience, while it would be much worse on a larger 10-inch tablet app. Now, it’s true that many — maybe even most — of the popular apps you might want to run today are optimized for Android tablets. But, when you look at the situation when it comes to popular apps like Twitter, Facebook, and Yelp, it’s clear Android is still behind in a meaningful way. Price Let’s be honest. The thing that really makes Android tablets compelling — and the only reason Android tablets started seeing real traction after years of almost complete dominance by Apple’s iPads — is that Android tablets are available for so much cheaper than iPads. Google’s latest Nexus 7 (2013) is available for only $230. Apple’s non-retina iPad Mini is available at $300, which is already $70 more. In spite of that, the iPad Mini has much older, slower internals and a much lower resolution screen. It’s not as nice to look at when it comes to reading or watching movies, and the iPad Mini reportedly struggles to run Apple’s latest iOS 7. In contrast, the new Nexus 7 has a very high resolution screen, speedy internals, and runs Android very well with little-to-no lag in real use. We haven’t had any problems with it, unlike all the problems we unfortunately encountered with the first Nexus 7. For a really comparable experience to the current Nexus 7, you’d want to get one of Apple’s new retina iPad Minis. That would cost you $400, another $170 over the Nexus 7. In fact, it’s possible to regularly find sales on the Nexus 7, so if you waited you could get it for just $200 — half the price of the iPad mini with a comparable screen and internals. (In fairness, the iPad certainly has better hardware — but you won’t feel if it you’re just using your tablet to browse the web, watch videos, and do other typical tablet things.) This makes a tablet like the popular Nexus 7 a very good option for budget-conscious users who just want a high-quality device they can use to browse the web, watch videos, play games, and generally do light computing. There’s a reason we’re focusing on the Nexus 7 here. The combination of price and size brings it to a very good place. It’s awfully cheap for the high-quality experience you get, and the 7-inch screen means that even the non-tablet-optimized apps you may stumble across will often work fairly well. On the other hand, more expensive 10-inch Android tablets are still a tougher sell. For $400-$500, you’re getting awfully close to Apple’s full-size iPad price range and Android tablets don’t have as good an app ecosystem as an iPad. It’s hard to recommend an expensive, 10-inch Android tablet over a full-size iPad to average users. In summary, the Android app tablet app situation is nowhere near as bad as it was a few years ago. The success of the Nexus 7 proves that Android tablets can be compelling experiences, and there are a wide variety of strong apps. That said, more expensive 10-inch Android tablets that compete directly with the full-size iPad on price still don’t make much sense for most people.  Unless you have a specific reason for preferring an Android tablet, it’s tough not to recommend an iPad if you’re looking at spending $400+ on a 10-inch tablet. Image Credit: Christian Ghanime on Flickr, Christian Ghanime on Flickr     

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  • CodePlex Daily Summary for Wednesday, August 29, 2012

    CodePlex Daily Summary for Wednesday, August 29, 2012Popular ReleasesDiscuzViet: DzX2.5TV Stable Version: Discuz-X2.5-TV-StableMath.NET Numerics: Math.NET Numerics v2.2.1: Major linear algebra rework since v2.1, now available on Codeplex as well (previous versions were only available via NuGet). Since v2.2.0: Student-T density more robust for very large degrees of freedom Sparse Kronecker product much more efficient (now leverages sparsity) Direct access to raw matrix storage implementations for advanced extensibility Now also separate package for signed core library with a strong name (we dropped strong names in v2.2.0) Also available as NuGet packages...Microsoft SQL Server Product Samples: Database: AdventureWorks Databases – 2012, 2008R2 and 2008: About this release This release consolidates AdventureWorks databases for SQL Server 2012, 2008R2 and 2008 versions to one page. Each zip file contains an mdf database file and ldf log file. This should make it easier to find and download AdventureWorks databases since all OLTP versions are on one page. There are no database schema changes. For each release of the product, there is a light-weight and full version of the AdventureWorks sample database. The light-weight version is denoted by ...Smart Thread Pool: SmartThreadPool 2.2.3: Release Changes Added MaxStackSize option to threadsImageServer: v1.1: This is the first version releasedChristoc's DotNetNuke Module Development Template: DotNetNuke Project Templates V1.1 for VS2012: This release is specifically for Visual Studio 2012 Support, distributed through the Visual Studio Extensions gallery at http://visualstudiogallery.msdn.microsoft.com/ After you build in Release mode the installable packages (source/install) can be found in the INSTALL folder now, within your module's folder, not the packages folder anymore Check out the blog post for all of the details about this release. http://www.dotnetnuke.com/Resources/Blogs/EntryId/3471/New-Visual-Studio-2012-Projec...Home Access Plus+: v8.0: v8.0828.1800 RELEASE CHANGED TO BETA Any issues, please log them on http://www.edugeek.net/forums/home-access-plus/ This is full release, NO upgrade ZIP will be provided as most files require replacing. To upgrade from a previous version, delete everything but your AppData folder, extract all but the AppData folder and run your HAP+ install Documentation is supplied in the Web Zip The Quota Services require executing a script to register the service, this can be found in there install di...Phalanger - The PHP Language Compiler for the .NET Framework: 3.0.0.3391 (September 2012): New features: Extended ReflectionClass libxml error handling, constants TreatWarningsAsErrors MSBuild option OnlyPrecompiledCode configuration option; allows to use only compiled code Fixes: ArgsAware exception fix accessing .NET properties bug fix ASP.NET session handler fix for OutOfProc mode Phalanger Tools for Visual Studio: Visual Studio 2010 & 2012 New debugger engine, PHP-like debugging Lot of fixes of project files, formatting, smart indent, colorization etc. Improved ...MabiCommerce: MabiCommerce 1.0.1: What's NewSetup now creates shortcuts Fix spelling errors Minor enhancement to the Map window.ScintillaNET: ScintillaNET 2.5.2: This release has been built from the 2.5 branch. Version 2.5.2 is functionally identical to the 2.5.1 release but also includes the XML documentation comments file generated by Visual Studio. It is not 100% comprehensive but it will give you Visual Studio IntelliSense for a large part of the API. Just make sure the ScintillaNET.xml file is in the same folder as the ScintillaNET.dll reference you're using in your projects. (The XML file does not need to be distributed with your application)....WinRT XAML Toolkit: WinRT XAML Toolkit - 1.2.0: WinRT XAML Toolkit based on the Windows 8 RTM SDK. Download the latest source from the SOURCE CODE page. For compiled version use NuGet. You can add it to your project in Visual Studio by going to View/Other Windows/Package Manager Console and entering: PM> Install-Package winrtxamltoolkit Features AsyncUI extensions Controls and control extensions Converters Debugging helpers Imaging IO helpers VisualTree helpers Samples Recent changes NOTE: Namespace changes DebugConsol...BlackJumboDog: Ver5.7.1: 2012.08.25 Ver5.7.1 (1)?????·?????LING?????????????? (2)SMTP???(????)????、?????\?????????????????????Visual Studio Team Foundation Server Branching and Merging Guide: v2 - Visual Studio 2012: Welcome to the Branching and Merging Guide Quality-Bar Details Documentation has been reviewed by Visual Studio ALM Rangers Documentation has been through an independent technical review Documentation has been reviewed by the quality and recording team All critical bugs have been resolved Known Issues / Bugs Spelling, grammar and content revisions are in progress. Hotfix will be published.MakersEngine: MakersEngine BETA 0.1: First BETA build of MakersEngine Adding TrinityCore compiling support (this should run well on any system) SqlMgr will try to connect to your Database but it wont import anything.Win8GameKit: Windows 8 RTM Release: - Updated for Windows 8 RTM - Fixed Accelerometer Device Check. Gravity Pulse will not be available if no Accelerometer device is present. It will instead ignore any Power ups.SQL Server Keep Alive Service: SQL Server Keep Alive Service 1.0: This is the first official release. Please see the documentation for help https://sqlserverkeepalive.codeplex.com/documentation.ARSoft.Tools.Net - C#/.Net DNS client/server, SPF and SenderID Library: 1.7.0: New Features:Strong name for binary release LLMNR client One-shot Multicast DNS client Some new IPAddress extensions Response validation as described in draft-vixie-dnsext-dns0x20-00 Added support for Owner EDNS option (draft-cheshire-edns0-owner-option) Added support for LLQ EDNS option (draft-sekar-dns-llq) Added support for Update Lease EDNS option (draft-sekar-dns-ul) Changes:Updated to latest IANA parameters Adapted RFC6563 - Moving A6 to Historic Status Use IPv6 addre...7zbackup - PowerShell Script to Backup Files with 7zip: 7zBackup v. 1.8.1 Stable: Do you like this piece of software ? It took some time and effort to develop. Please consider a helping me with a donation Or please visit my blog Code : New work switch maxrecursionlevel to limit recursion depth while searching files to backup Code : rotate argument switch can now be set in selection file too Code : prefix argument switch can now be set in selection file too Code : prefix argument switch is checked against invalid file name chars Code : vars script file has now...Microsoft Ajax Minifier: Microsoft Ajax Minifier 4.62: Fix for issue #18525 - escaped characters in CSS identifiers get double-escaped if the character immediately after the backslash is not normally allowed in an identifier. fixed symbol problem with nuget package. 4.62 should have nuget symbols available again. Also want to highlight again the breaking change introduced in 4.61 regarding the renaming of the DLL from AjaxMin.dll to AjaxMinLibrary.dll to fix strong-name collisions between the DLL and the EXE. Please be aware of this change and...nopCommerce. Open source shopping cart (ASP.NET MVC): nopcommerce 2.65: As some of you may know we were planning to release version 2.70 much later (the end of September). But today we have to release this intermediate version (2.65). It fixes a critical issue caused by a third-party assembly when running nopCommerce on a server with .NET 4.5 installed. No major features have been introduced with this release as our development efforts were focused on further enhancements and fixing bugs. To see the full list of fixes and changes please visit the release notes p...New ProjectsAssociativy: Associativy aims to give a platform for building knowledge bases organized through associative connections. See: http://associativy.comAssociativy Administration: Administration module for the Associativy (http://associativy.com) Orchard graph platform.Associativy Core: Core module for the Associativy (http://associativy.com) Orchard graph platform.Associativy Frontend Engines: Frontend Engines module for the Associativy (http://associativy.com) Orchard graph platform.Associativy Notions Demo Instance: Notions Demo Instance module for the Associativy (http://associativy.com) Orchard graph platform.Associativy Tags Adapter: Tags Adapter module for the Associativy (http://associativy.com) Orchard graph platform.Associativy Tests: Tests module for the Associativy (http://associativy.com) Orchard graph platform.Associativy Web Services: Web Services module for the Associativy (http://associativy.com) Orchard graph platform.DotNMap: A type library that can be used to work with NMap scan results in .net.EFCompoundkeyWhere: ??????????, ??????????? ????????? ??????? Where ?? ?????????? ????? ? Entity FrameworkEntertainment Tools: These are tools for entertainment professionals.EntLib.com????????: ◆ 100% ??(Open Source - ?????); ◆ ??.Net Framework 4.0; ◆ ?? ASP.NET、C# ?? ? SQL Server ???; ◆ ????????????????????; ◆ ?????????,?????????????;ExpressProfiler: ExpressProfiler is a simple but good enough replacement for SQL Server Profiler Fancy Thumb: Fancy Thumb helps you decorating your thumb drives, giving them fancy icons and names longer than what FAT(32) allows.GEBestBetAdder: GEBestBetAdder is a SharePoint utility which helps with the exporting and importing of keywords and best bets.Ginger Graphics Library: 3D GraphicsImageServer: This is a high performance, high extensible web server writen in ASP.NET C# for image automative processing.jPaint: This is a copy of mspaint, written on pure js + html + css.ListOfTales: This is simple application for store infromation about book))Metro air hockey: metro air hockeyMetro graphcalc: metro graphcalcMetro speedtest: metro speedtestMetro ToDos: metro todosMVC4 Starter Kit: The MVC4 Starter Kit is designed as a bare bone application that covers many of the concerns to be addressed during the first stage of development.MyProject1: MyProject1npantarhei contribute: use the npantarhei flowruntime configured by mef and design your flows within visualstudio 2012 using an integrated designer...PBRX: Powerbuilder to Ruby toolkit.PE file reader: readpe, a tool which parses a PE formatted file and displays the requested information. People: PeoplePocket Calculator: This is POC project that implements a simple WinForms Pocket Calculator that uses a Microsoft .NET 4.0.1 State Machine Workflow in the back-end.ProjectZ: Project Z handles the difficulties with Mologs.PSMNTVIS: this is a blabla test for some blabla code practice.Santry DotNetNuke Lightbox Ad Module: Module allows for you to place a modal ad lightbox module on your DotNetNuke page. It integrates with the HTML provider, and cookie management for display.Sevens' Stories: An album for Class Seven of Pingtan No.1 High School.SIS-TRANSPORTES: Projeto em desenvolvimento...SmartSpace: SmartSpaceSO Chat Star Leaderboard: Scrapes stars from chat.stackoverflow.com and calculates statistics and a leaderboard.testdd08282012git01: dtestdd08282012hg01: uiotestddtfs08282012: kltesttom08282012git01: fdsfdstesttom08282012hg01: ftesttom08282012tfs01: bvcvTransportadoraToledo: Projeto Integrado de SistemasVisual Studio Watchers: Custom Visual Studio visualizers.XNC: XNC is an (in-progress) XNA Framework like library for the C programming language.???: ?

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  • CodePlex Daily Summary for Tuesday, December 28, 2010

    CodePlex Daily Summary for Tuesday, December 28, 2010Popular ReleasesMonitorWang: MonitorWang v1.0.5 (Growler): What's new?Added Growl Notification Finalisers - these are interceptor components that work exclusively with the Growl Publisher. These allow you to modify the Growl Notification just prior to it being sent by the publisher. You can inject custom logic to precisely control how the Growl Notification will appear; this includes changing the Growl Priority level and message text. I've created to two Growl Notification Finalisers - one allows you to change the Growl Notification Priorty based on ...Catel - WPF and Silverlight MVVM library: 1.0.0: And there it is, the final release of Catel, and it is no longer a beta version!Multicore Task Framework: MTF 1.0.2: Release 1.0.2 of Multicore Task Framework.EnhSim: EnhSim 2.2.7 ALPHA: 2.2.7 ALPHAThis release supports WoW patch 4.03a at level 85 To use this release, you must have the Microsoft Visual C++ 2010 Redistributable Package installed. This can be downloaded from http://www.microsoft.com/downloads/en/details.aspx?FamilyID=A7B7A05E-6DE6-4D3A-A423-37BF0912DB84 To use the GUI you must have the .NET 4.0 Framework installed. This can be downloaded from http://www.microsoft.com/downloads/en/details.aspx?FamilyID=9cfb2d51-5ff4-4491-b0e5-b386f32c0992 - Mongoose has bee...LINQ to Twitter: LINQ to Twitter Beta v2.0.19: Mono 2.8, Silverlight, OAuth, 100% Twitter API coverage, streaming, extensibility via Raw Queries, and added documentation. Bug fixes.Hammock for REST: Hammock v1.1.4: v1.1.4 ChangesOAuth fixes for post content handling, encoding, and url parameter doubling v1.1.3 ChangesAdded an event handler for use with retries Made improvements to OAuth for performance, plus additional fixes Added OAuth token refresh support Fixed memory leak in content streaming, and regression issue with async GET call response handling v1.1.2 ChangesAdded OAuth Echo native support and static helper methods on OAuthCredentials Fixes for multi-part stream writing and recovery...Rocket Framework (.Net 4.0): Rocket Framework for Windows V 1.0.0: Architecture is reviewed and adjusted in a way so that I can introduce the Web version and WPF version of this framework next. - Rocket.Core is introduced - Controller button functions revisited and updated - DB is renewed to suite the implemented features - Create New button functionality is changed - Add Question Handling featuresFxCop Integrator for Visual Studio 2010: FxCop Integrtor 1.1.0: New FeatureSearch violation information FxCop Integrator provides the violation search feature. You can find out specific violation information by simple search expression.Analyze with FxCop project file FxCop Integrator supports code analysis with FxCop project file. You can customize code analysis behavior (e.g. analyze specifid types only, use specific rules only, and so on). ImprovementImproved the code analysis result list to show more information (added Proejct and File column). Change...NoSimplerAccounting: NoSimplerAccounting 6.0: -Fixed a bug in expense category report.NHibernate Mapping Generator: NHibernate Mapping Generator 2.0: Added support for Postgres (Thanks to Angelo)NewLife XCode: XCode v6.5.2010.1223 ????(????v3.5??): XCode v6.5.2010.1223 ????,??: NewLife.Core ??? NewLife.Net ??? XControl ??? XTemplate ????,??C#?????? XAgent ???? NewLife.CommonEnitty ??????(???,XCode??????) XCode?? ?????????,??????????????????,?????95% XCode v3.5.2009.0714 ??,?v3.5?v6.0???????????????,?????????。v3.5???????????,??????????????。 XCoder ??XTemplate?????????,????????XCode??? XCoder_Src ???????(????XTemplate????),??????????????????MiniTwitter: 1.64: MiniTwitter 1.64 ???? ?? 1.63 ??? URL ??????????????VivoSocial: VivoSocial 7.4.0: Please see changes: http://support.vivoware.com/project/ChangeLog.aspx?PROJID=48Umbraco CMS: Umbraco 4.6 Beta - codename JUNO: The Umbraco 4.6 beta (codename JUNO) release contains many new features focusing on an improved installation experience, a number of robust developer features, and contains more than 89 bug fixes since the 4.5.2 release. Improved installer experience Updated Starter Kits (Simple, Blog, Personal, Business) Beautiful, free, customizable skins included Skinning engine and Skin customization (see Skinning Documentation Kit) Default dashboards on install with hide option Updated Login t...SSH.NET Library: 2010.12.23: This release includes some bug fixes and few new fetures. Fixes Allow to retrieve big directory structures ssh-dss algorithm is fixed Populate sftp file attributes New Features Support for passhrase when private key is used Support added for diffie-hellman-group14-sha1,diffie-hellman-group-exchange-sha256 and diffie-hellman-group-exchange-sha1 key exchange algorithms Allow to provide multiple key files for authentication Add support for "keyboard-interactive" authentication method...ASP.NET MVC SiteMap provider: MvcSiteMapProvider 2.3.0: Using NuGet?MvcSiteMapProvider is also listed in the NuGet feed. Learn more... Like the project? Consider a donation!Donate via PayPal via PayPal. Release notesThis will be the last release targeting ASP.NET MVC 2 and .NET 3.5. MvcSiteMapProvider 3.0.0 will be targeting ASP.NET MVC 3 and .NET 4 Web.config setting skipAssemblyScanOn has been deprecated in favor of excludeAssembliesForScan and includeAssembliesForScan ISiteMapNodeUrlResolver is now completely responsible for generating th...Media Companion: Media Companion 3.400: Extract the entire archive to a folder which has user access rights, eg desktop, documents etc. A manual is included to get you startedWindows Media Player GNTP Plugin: WMP-GNTP v1.0.5: This is the installer for WMP-GNTP. Install it to get the plugin on your system.Google Geo Kit: Static Google Map WinForm Control Nightly Build: 12/22/2010 MD5sum - b8118c9970d6dc9480fe7c41f042537f add event OnGMapNotDefined. When anything went wrong in StaticGmap internally and return null stream, this event will be firedSilverlight Sockets Sample: No binaries: Whole source code in a ZIP. Shame 'Source Code' tab isn't working, so I'll just upload a ZIP.New ProjectsAsfMojo: AsfMojo is an open source .NET ASF parsing library, providing support for parsing WMA audio and WMV video files. It offers classes to create streams from packet data within a media file, gather file statistics and extract audio segments or frame accurate still frames.asp.net ajax file manager: Features : Full Ajax Support security View Image Create folder Delete file & folder Copy file & folder Move file & folder multiple selection ( Ctrl + Select ) Easy installation and configuration Open source. compatible IE7,IE8,FF,Safari,Chrome http://www.filemanager.3ntar.netBoxNet: BoxNet is a opensource library which will provide possibility for Windows Phone 7 developers to integrate with DropBox.C# Sqlite For WP7: C# Sqlite Port for Windows phone 7 and possibly Silverlight 3, 4. The core engine was slightly modified to be used with IsolatedStorage and SqliteClient were ported by using missing codes from Mono project in order to maximize usability and portability from desktop.Comparison of Managed Compression Algorithms: Visual Studio 2010 Console Test Harness with samples of MiniLZO, QuickLz, SharpZipLib, iRolz and other managed compression classes. Tests compression of a 2MB Word file and shows timings. Useful in deciding what type of compression to use. Developers can easily add their own.Cypher Bot 2011: Cypher Bot 2011 Brings the word cipher to a whole new level. You can now easily open, save, print, and send ciphers. Make a short message or completly encrypt a document. The cipher is impossible to figure out unless you have the keyword and algorithm to solve it! Try it out!Directed Graph for .NET: This project presents a simple directed graph implementation for the .NET framework using C# language.DynamicAccess: DynamicAccess is a library to aid connecting DLR languages such as ironpython and ironruby to non-dynamic languages like managed C++. It also fills in some gaps in the current C# support of dynamic objects, such as member access by string and deletion of members or indexes.Euro for Windows XP: A simple tool and sample to change Estonian currency from Estonian Krone (kr) to Euro (€). Applies to all versions of Windows and from .NET 2.0 which is default build. The sample creates a custom locale and updates existing users through Registry.Excel PowerShell Console: An Excel AddIn to enable using PowerShell for Excel automation.fantastic: fantasticGomarket Toolbar: GoMarket FireFox toolbarjs: jsLiving Agile's Common Framework: This project is a collection of commonly used routines here at Living Agile. There are a lot of helpful extension methods, logging, configuration and threading utilities. All other Living Agile projects have a dependency on this project.MapWindow 4: MapWindow4 is a free windows GIS application and uses an ActiveX control at it's core that can be embedded into many applications that don't support .Net such as excel, access, visual basic 6, or other pre-.Net languages.Mdelete API: Delete all files and directores in windows shell. Support long path (less then 32000 chars) and network path (eg. \\server\share or \\127.0.0.1\share)OP-Code SyntaxEditor: OP-Code SyntaxEditor is a Windows Forms Control, similar to a multi-line TextBox, which syntax highlights text and provides some features for code editing.passion: passionSharpHighlighter: SharpHighlighter is an extension for Visual Studio; a fairly simple code highlighter for C# I made it for anyone who wants to download and learn how to create is own parser or Syntax Highlighter. This sample will highlight only C# classes and structs but it's quite extensible.Test Center Locator: Test center locator makes it easier to find closest toefl or Ielts test center

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  • C#/.NET Little Wonders: Constraining Generics with Where Clause

    - by James Michael Hare
    Back when I was primarily a C++ developer, I loved C++ templates.  The power of writing very reusable generic classes brought the art of programming to a brand new level.  Unfortunately, when .NET 1.0 came about, they didn’t have a template equivalent.  With .NET 2.0 however, we finally got generics, which once again let us spread our wings and program more generically in the world of .NET However, C# generics behave in some ways very differently from their C++ template cousins.  There is a handy clause, however, that helps you navigate these waters to make your generics more powerful. The Problem – C# Assumes Lowest Common Denominator In C++, you can create a template and do nearly anything syntactically possible on the template parameter, and C++ will not check if the method/fields/operations invoked are valid until you declare a realization of the type.  Let me illustrate with a C++ example: 1: // compiles fine, C++ makes no assumptions as to T 2: template <typename T> 3: class ReverseComparer 4: { 5: public: 6: int Compare(const T& lhs, const T& rhs) 7: { 8: return rhs.CompareTo(lhs); 9: } 10: }; Notice that we are invoking a method CompareTo() off of template type T.  Because we don’t know at this point what type T is, C++ makes no assumptions and there are no errors. C++ tends to take the path of not checking the template type usage until the method is actually invoked with a specific type, which differs from the behavior of C#: 1: // this will NOT compile! C# assumes lowest common denominator. 2: public class ReverseComparer<T> 3: { 4: public int Compare(T lhs, T rhs) 5: { 6: return lhs.CompareTo(rhs); 7: } 8: } So why does C# give us a compiler error even when we don’t yet know what type T is?  This is because C# took a different path in how they made generics.  Unless you specify otherwise, for the purposes of the code inside the generic method, T is basically treated like an object (notice I didn’t say T is an object). That means that any operations, fields, methods, properties, etc that you attempt to use of type T must be available at the lowest common denominator type: object.  Now, while object has the broadest applicability, it also has the fewest specific.  So how do we allow our generic type placeholder to do things more than just what object can do? Solution: Constraint the Type With Where Clause So how do we get around this in C#?  The answer is to constrain the generic type placeholder with the where clause.  Basically, the where clause allows you to specify additional constraints on what the actual type used to fill the generic type placeholder must support. You might think that narrowing the scope of a generic means a weaker generic.  In reality, though it limits the number of types that can be used with the generic, it also gives the generic more power to deal with those types.  In effect these constraints says that if the type meets the given constraint, you can perform the activities that pertain to that constraint with the generic placeholders. Constraining Generic Type to Interface or Superclass One of the handiest where clause constraints is the ability to specify the type generic type must implement a certain interface or be inherited from a certain base class. For example, you can’t call CompareTo() in our first C# generic without constraints, but if we constrain T to IComparable<T>, we can: 1: public class ReverseComparer<T> 2: where T : IComparable<T> 3: { 4: public int Compare(T lhs, T rhs) 5: { 6: return lhs.CompareTo(rhs); 7: } 8: } Now that we’ve constrained T to an implementation of IComparable<T>, this means that our variables of generic type T may now call any members specified in IComparable<T> as well.  This means that the call to CompareTo() is now legal. If you constrain your type, also, you will get compiler warnings if you attempt to use a type that doesn’t meet the constraint.  This is much better than the syntax error you would get within C++ template code itself when you used a type not supported by a C++ template. Constraining Generic Type to Only Reference Types Sometimes, you want to assign an instance of a generic type to null, but you can’t do this without constraints, because you have no guarantee that the type used to realize the generic is not a value type, where null is meaningless. Well, we can fix this by specifying the class constraint in the where clause.  By declaring that a generic type must be a class, we are saying that it is a reference type, and this allows us to assign null to instances of that type: 1: public static class ObjectExtensions 2: { 3: public static TOut Maybe<TIn, TOut>(this TIn value, Func<TIn, TOut> accessor) 4: where TOut : class 5: where TIn : class 6: { 7: return (value != null) ? accessor(value) : null; 8: } 9: } In the example above, we want to be able to access a property off of a reference, and if that reference is null, pass the null on down the line.  To do this, both the input type and the output type must be reference types (yes, nullable value types could also be considered applicable at a logical level, but there’s not a direct constraint for those). Constraining Generic Type to only Value Types Similarly to constraining a generic type to be a reference type, you can also constrain a generic type to be a value type.  To do this you use the struct constraint which specifies that the generic type must be a value type (primitive, struct, enum, etc). Consider the following method, that will convert anything that is IConvertible (int, double, string, etc) to the value type you specify, or null if the instance is null. 1: public static T? ConvertToNullable<T>(IConvertible value) 2: where T : struct 3: { 4: T? result = null; 5:  6: if (value != null) 7: { 8: result = (T)Convert.ChangeType(value, typeof(T)); 9: } 10:  11: return result; 12: } Because T was constrained to be a value type, we can use T? (System.Nullable<T>) where we could not do this if T was a reference type. Constraining Generic Type to Require Default Constructor You can also constrain a type to require existence of a default constructor.  Because by default C# doesn’t know what constructors a generic type placeholder does or does not have available, it can’t typically allow you to call one.  That said, if you give it the new() constraint, it will mean that the type used to realize the generic type must have a default (no argument) constructor. Let’s assume you have a generic adapter class that, given some mappings, will adapt an item from type TFrom to type TTo.  Because it must create a new instance of type TTo in the process, we need to specify that TTo has a default constructor: 1: // Given a set of Action<TFrom,TTo> mappings will map TFrom to TTo 2: public class Adapter<TFrom, TTo> : IEnumerable<Action<TFrom, TTo>> 3: where TTo : class, new() 4: { 5: // The list of translations from TFrom to TTo 6: public List<Action<TFrom, TTo>> Translations { get; private set; } 7:  8: // Construct with empty translation and reverse translation sets. 9: public Adapter() 10: { 11: // did this instead of auto-properties to allow simple use of initializers 12: Translations = new List<Action<TFrom, TTo>>(); 13: } 14:  15: // Add a translator to the collection, useful for initializer list 16: public void Add(Action<TFrom, TTo> translation) 17: { 18: Translations.Add(translation); 19: } 20:  21: // Add a translator that first checks a predicate to determine if the translation 22: // should be performed, then translates if the predicate returns true 23: public void Add(Predicate<TFrom> conditional, Action<TFrom, TTo> translation) 24: { 25: Translations.Add((from, to) => 26: { 27: if (conditional(from)) 28: { 29: translation(from, to); 30: } 31: }); 32: } 33:  34: // Translates an object forward from TFrom object to TTo object. 35: public TTo Adapt(TFrom sourceObject) 36: { 37: var resultObject = new TTo(); 38:  39: // Process each translation 40: Translations.ForEach(t => t(sourceObject, resultObject)); 41:  42: return resultObject; 43: } 44:  45: // Returns an enumerator that iterates through the collection. 46: public IEnumerator<Action<TFrom, TTo>> GetEnumerator() 47: { 48: return Translations.GetEnumerator(); 49: } 50:  51: // Returns an enumerator that iterates through a collection. 52: IEnumerator IEnumerable.GetEnumerator() 53: { 54: return GetEnumerator(); 55: } 56: } Notice, however, you can’t specify any other constructor, you can only specify that the type has a default (no argument) constructor. Summary The where clause is an excellent tool that gives your .NET generics even more power to perform tasks higher than just the base "object level" behavior.  There are a few things you cannot specify with constraints (currently) though: Cannot specify the generic type must be an enum. Cannot specify the generic type must have a certain property or method without specifying a base class or interface – that is, you can’t say that the generic must have a Start() method. Cannot specify that the generic type allows arithmetic operations. Cannot specify that the generic type requires a specific non-default constructor. In addition, you cannot overload a template definition with different, opposing constraints.  For example you can’t define a Adapter<T> where T : struct and Adapter<T> where T : class.  Hopefully, in the future we will get some of these things to make the where clause even more useful, but until then what we have is extremely valuable in making our generics more user friendly and more powerful!   Technorati Tags: C#,.NET,Little Wonders,BlackRabbitCoder,where,generics

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  • What's New in Database Lifecycle Management in Enterprise Manager 12c Release 3

    - by HariSrinivasan
    Enterprise Manager 12c Release 3 includes improvements and enhancements across every area of the product. This blog provides an overview of the new and enhanced features in the Database Lifecycle Management area. I will deep dive into specific features more in depth in subsequent posts. "What's New?"  In this release, we focused on four things: 1. Lifecycle Management Support for new Database12c - Pluggable Databases 2. Management of long running processes, such as a security patch cycle (Change Activity Planner) 3. Management of large number of systems by · Leveraging new framework capabilities for lifecycle operations, such as the new advanced ‘emcli’ script option · Refining features such as configuration search and compliance 4. Minor improvements and quality fixes to existing features · Rollback support for Single instance databases · Improved "OFFLINE" Patching experience · Faster collection of ORACLE_HOME configurations Lifecycle Management Support for new Database 12c - Pluggable Databases Database 12c introduces Pluggable Databases (PDBs), the brand new addition to help you achieve your consolidation goals. Pluggable databases offer unprecedented consolidation at database level and native lifecycle verbs for creating, plugging and unplugging the databases on a container database (CDB). Enterprise Manager can supplement the capabilities of pluggable databases by offering workflows for migrating, provisioning and cloning them using the software library and the deployment procedures. For example, Enterprise Manager can migrate an existing database to a PDB or clone a PDB by storing a versioned copy in the software library. One can also manage the planned downtime related to patching by  migrating the PDBs to a new CDB. While pluggable databases offer these exciting features, it can also pose configuration management and compliance challenges if not managed properly. Enterprise Manager features like inventory management, topology associations and configuration search can mitigate the sprawl of PDBs and also lock them to predefined golden standards using configuration comparison and compliance rules. Learn More ... Management of Long Running datacenter processes - Change Activity Planner (CAP) Currently, customers resort to cumbersome methods to create, execute, track and monitor change activities within their data center. Some customers use traditional tools such as spreadsheets, project planners and in-house custom built solutions. Customers often have weekly sync up meetings across stake holders to collect status and updates. Some of the change activities, for example the quarterly patch set update (PSU) patch rollouts are not single tasks but processes with multiple tasks. Some of those tasks are performed within Enterprise Manager Cloud Control (for example Patch) and some are performed outside of Enterprise Manager Cloud Control. These tasks often run for a longer period of time and involve multiple people or teams. Enterprise Manger Cloud Control supports core data center operations such as configuration management, compliance management, and automation. Enterprise Manager Cloud Control release 12.1.0.3 leverages these capabilities and introduces the Change Activity Planner (CAP). CAP provides the ability to plan, execute, and track change activities in real time. It covers the typical datacenter activities that are spread over a long period of time, across multiple people and multiple targets (even target types). Here are some examples of Change Activity Process in a datacenter: · Patching large environments (PSU/CPU Patching cycles) · Upgrading large number of database environments · Rolling out Compliance Rules · Database Consolidation to Exadata environments CAP provides user flows for Compliance Officers/Managers (incl. lead administrators) and Operators (DBAs and admins). Managers can create change activity plans for various projects, allocate resources, targets, and groups affected. Upon activation of the plan, tasks are created and automatically assigned to individual administrators based on target ownership. Administrators (DBAs) can identify their tasks and understand the context, schedules, and priorities. They can complete tasks using Enterprise Manager Cloud Control automation features such as patch plans (or in some cases outside Enterprise Manager). Upon completion, compliance is evaluated for validations and updates the status of the tasks and the plans. Learn More about CAP ...  Improved Configuration & Compliance Management of a large number of systems Improved Configuration Comparison:  Get to the configuration comparison results faster for simple ad-hoc comparisons. When performing a 1 to 1 comparison, Enterprise Manager will perform the comparison immediately and take the user directly to the results without having to wait for a job to be submitted and executed. Flattened system comparisons reduce comparison setup time and reduce complexity. In addition to the previously existing topological comparison, users now have an option to compare using a “flattened” methodology. Flattening means to remove duplicate target instances within the systems and remove the hierarchy of member targets. The result are much easier to spot differences particularly for specific use cases like comparing patch levels between complex systems like RAC and Fusion Apps. Improved Configuration Search & Advanced EMCLI Script option for Mass Automation Enterprise manager 12c introduces a new framework level capability to be able to script and stitch together multiple tasks using EMCLI. This powerful capability can be leveraged for lifecycle operations, especially when executing a task over a large number of targets. Specific usages of this include, retrieving a qualified list of targets using Configuration Search and then using the resultset for automation. Another example would be executing a patching operation and then re-executing on targets where it may have failed. This is complemented by other enhancements, such as a better usability for designing reusable configuration searches. IN EM 12c Rel 3, a simplified UI makes building adhoc searches even easier. Searching for missing patches is a common use of configuration search. This required the use of the advanced options which are now clearly defined and easy to use. Perform “Configuration Search” using the EMCLI. Users can find and execute Configuration Searches from the EMCLI which can be extremely useful for building sophisticated automation scripts. For an example, Run the Search named “Oracle Databases on Exadata” which finds all Database targets running on top of Exadata. Further filter the results by refining by options like name, host, etc.. emcli get_targets -config_search="Databases on Exadata" –target_name="exa%“ Use this in powerful mass automation operations using the new emcli script option. For example, to solve the use case of – Finding all DBs running on Exadata and housing E-Biz and Patch them. Create a Python script with emcli functions and invoke it in the new EMCLI script option shell. Invoke the script in the new EMCLI with script option directly: $<path to emcli>/emcli @myPSU_Patch.py Richer compliance content:  Now over 50 Oracle Provided Compliance Standards including new standards for Pluggable Database, Fusion Applications, Oracle Identity Manager, Oracle VM and Internet Directory. 9 Oracle provided Real Time Monitoring Standards containing over 900 Compliance Rules across 500 Facets. These new Real time Compliance Standards covers both Exadata Compute nodes and Linux servers. The result is increased Oracle software coverage and faster time to compliance monitoring on Exadata. Enhancements to Patch Management: Overhauled "OFFLINE" Patching experience: Simplified Patch uploads UI to improve the offline experience of patching. There is now a single step process to get the patches into software library. Customers often maintain local repositories of patches, sometimes called software depots, where they host the patches downloaded from My Oracle Support. In the past, you had to move these patches to your desktop then upload them to the Enterprise Manager's Software library through the Enterprise Manager Cloud Control user interface. You can now use the following EMCLI command to upload multiple patches directly from a remote location within the data center: $emcli upload_patches -location <Path to Patch directory> -from_host <HOSTNAME> The upload process filters all of the new patches, automatically selects the relevant metadata files from the location, and uploads the patches to software library. Other Improvements:  Patch rollback for single instance databases, new option in the Patch Plan to rollback the patches added to the patch plans. Upon execution, the procedure would rollback the patch and the SQL applied to the single instance Databases. Improved and faster configuration collection of Oracle Home targets can enable more reliable automation at higher level functions like Provisioning, Patching or Database as a Service. Just to recap, here is a list of database lifecycle management features:  * Red highlights mark – New or Enhanced in the Release 3. • Discovery, inventory tracking and reporting • Database provisioning including o Migration to Pluggable databases o Plugging and unplugging of pluggable databases o Gold image based cloning o Scaling of RAC nodes •Schema and data change management •End-to-end patch management in online and offline modes, including o Patch advisories in online (connected with My Oracle Support) and offline mode o Patch pre-deployment analysis, deployment and rollback (currently only for single instance databases) o Reporting • Upgrade planning and execution of the upgrade process • Configuration management including • Compliance management with out-of-box content • Change Activity Planner for planning, designing and tracking long running processes For more information on Enterprise Manager’s database lifecycle management capabilities, visit http://www.oracle.com/technetwork/oem/lifecycle-mgmt/index.html

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  • Combined Likelihood Models

    - by Lukas Vermeer
    In a series of posts on this blog we have already described a flexible approach to recording events, a technique to create analytical models for reporting, a method that uses the same principles to generate extremely powerful facet based predictions and a waterfall strategy that can be used to blend multiple (possibly facet based) models for increased accuracy. This latest, and also last, addition to this sequence of increasing modeling complexity will illustrate an advanced approach to amalgamate models, taking us to a whole new level of predictive modeling and analytical insights; combination models predicting likelihoods using multiple child models. The method described here is far from trivial. We therefore would not recommend you apply these techniques in an initial implementation of Oracle Real-Time Decisions. In most cases, basic RTD models or the approaches described before will provide more than enough predictive accuracy and analytical insight. The following is intended as an example of how more advanced models could be constructed if implementation results warrant the increased implementation and design effort. Keep implemented statistics simple! Combining likelihoods Because facet based predictions are based on metadata attributes of the choices selected, it is possible to generate such predictions for more than one attribute of a choice. We can predict the likelihood of acceptance for a particular product based on the product category (e.g. ‘toys’), as well as based on the color of the product (e.g. ‘pink’). Of course, these two predictions may be completely different (the customer may well prefer toys, but dislike pink products) and we will have to somehow combine these two separate predictions to determine an overall likelihood of acceptance for the choice. Perhaps the simplest way to combine multiple predicted likelihoods into one is to calculate the average (or perhaps maximum or minimum) likelihood. However, this would completely forgo the fact that some facets may have a far more pronounced effect on the overall likelihood than others (e.g. customers may consider the product category more important than its color). We could opt for calculating some sort of weighted average, but this would require us to specify up front the relative importance of the different facets involved. This approach would also be unresponsive to changing consumer behavior in these preferences (e.g. product price bracket may become more important to consumers as a result of economic shifts). Preferably, we would want Oracle Real-Time Decisions to learn, act upon and tell us about, the correlations between the different facet models and the overall likelihood of acceptance. This additional level of predictive modeling, where a single supermodel (no pun intended) combines the output of several (facet based) models into a single prediction, is what we call a combined likelihood model. Facet Based Scores As an example, we have implemented three different facet based models (as described earlier) in a simple RTD inline service. These models will allow us to generate predictions for likelihood of acceptance for each product based on three different metadata fields: Category, Price Bracket and Product Color. We will use an Analytical Scores entity to store these different scores so we can easily pass them between different functions. A simple function, creatively named Compute Analytical Scores, will compute for each choice the different facet scores and return an Analytical Scores entity that is stored on the choice itself. For each score, a choice attribute referring to this entity is also added to be returned to the client to facilitate testing. One Offer To Predict Them All In order to combine the different facet based predictions into one single likelihood for each product, we will need a supermodel which can predict the likelihood of acceptance, based on the outcomes of the facet models. This model will not need to consider any of the attributes of the session, because they are already represented in the outcomes of the underlying facet models. For the same reason, the supermodel will not need to learn separately for each product, because the specific combination of facets for this product are also already represented in the output of the underlying models. In other words, instead of learning how session attributes influence acceptance of a particular product, we will learn how the outcomes of facet based models for a particular product influence acceptance at a higher level. We will therefore be using a single All Offers choice to represent all offers in our combined likelihood predictions. This choice has no attribute values configured, no scores and not a single eligibility rule; nor is it ever intended to be returned to a client. The All Offers choice is to be used exclusively by the Combined Likelihood Acceptance model to predict the likelihood of acceptance for all choices; based solely on the output of the facet based models defined earlier. The Switcheroo In Oracle Real-Time Decisions, models can only learn based on attributes stored on the session. Therefore, just before generating a combined prediction for a given choice, we will temporarily copy the facet based scores—stored on the choice earlier as an Analytical Scores entity—to the session. The code for the Predict Combined Likelihood Event function is outlined below. // set session attribute to contain facet based scores. // (this is the only input for the combined model) session().setAnalyticalScores(choice.getAnalyticalScores); // predict likelihood of acceptance for All Offers choice. CombinedLikelihoodChoice c = CombinedLikelihood.getChoice("AllOffers"); Double la = CombinedLikelihoodAcceptance.getChoiceEventLikelihoods(c, "Accepted"); // clear session attribute of facet based scores. session().setAnalyticalScores(null); // return likelihood. return la; This sleight of hand will allow the Combined Likelihood Acceptance model to predict the likelihood of acceptance for the All Offers choice using these choice specific scores. After the prediction is made, we will clear the Analytical Scores session attribute to ensure it does not pollute any of the other (facet) models. To guarantee our combined likelihood model will learn based on the facet based scores—and is not distracted by the other session attributes—we will configure the model to exclude any other inputs, save for the instance of the Analytical Scores session attribute, on the model attributes tab. Recording Events In order for the combined likelihood model to learn correctly, we must ensure that the Analytical Scores session attribute is set correctly at the moment RTD records any events related to a particular choice. We apply essentially the same switching technique as before in a Record Combined Likelihood Event function. // set session attribute to contain facet based scores // (this is the only input for the combined model). session().setAnalyticalScores(choice.getAnalyticalScores); // record input event against All Offers choice. CombinedLikelihood.getChoice("AllOffers").recordEvent(event); // force learn at this moment using the Internal Dock entry point. Application.getPredictor().learn(InternalLearn.modelArray, session(), session(), Application.currentTimeMillis()); // clear session attribute of facet based scores. session().setAnalyticalScores(null); In this example, Internal Learn is a special informant configured as the learn location for the combined likelihood model. The informant itself has no particular configuration and does nothing in itself; it is used only to force the model to learn at the exact instant we have set the Analytical Scores session attribute to the correct values. Reporting Results After running a few thousand (artificially skewed) simulated sessions on our ILS, the Decision Center reporting shows some interesting results. In this case, these results reflect perfectly the bias we ourselves had introduced in our tests. In practice, we would obviously use a wider range of customer attributes and expect to see some more unexpected outcomes. The facetted model for categories has clearly picked up on the that fact our simulated youngsters have little interest in purchasing the one red-hot vehicle our ILS had on offer. Also, it would seem that customer age is an excellent predictor for the acceptance of pink products. Looking at the key drivers for the All Offers choice we can see the relative importance of the different facets to the prediction of overall likelihood. The comparative importance of the category facet for overall prediction might, in part, be explained by the clear preference of younger customers for toys over other product types; as evident from the report on the predictiveness of customer age for offer category acceptance. Conclusion Oracle Real-Time Decisions' flexible decisioning framework allows for the construction of exceptionally elaborate prediction models that facilitate powerful targeting, but nonetheless provide insightful reporting. Although few customers will have a direct need for such a sophisticated solution architecture, it is encouraging to see that this lies within the realm of the possible with RTD; and this with limited configuration and customization required. There are obviously numerous other ways in which the predictive and reporting capabilities of Oracle Real-Time Decisions can be expanded upon to tailor to individual customers needs. We will not be able to elaborate on them all on this blog; and finding the right approach for any given problem is often more difficult than implementing the solution. Nevertheless, we hope that these last few posts have given you enough of an understanding of the power of the RTD framework and its models; so that you can take some of these ideas and improve upon your own strategy. As always, if you have any questions about the above—or any Oracle Real-Time Decisions design challenges you might face—please do not hesitate to contact us; via the comments below, social media or directly at Oracle. We are completely multi-channel and would be more than glad to help. :-)

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  • Common Live Upgrade problems

    - by user12611829
    As I have worked with customers deploying Live Upgrade in their environments, several problems seem to surface over and over. With this blog article, I will try to collect these troubles, as well as suggest some workarounds. If this sounds like the beginnings of a Wiki, you would be right. At present, there is not enough material for one, so we will use this blog for the time being. I do expect new material to be posted on occasion, so if you wish to bookmark it for future reference, a permanent link can be found here. Live Upgrade copies over ZFS root clone This was introduced in Solaris 10 10/09 (u8) and the root of the problem is a duplicate entry in the source boot environments ICF configuration file. Prior to u8, a ZFS root file system was not included in /etc/vfstab, since the mount is implicit at boot time. Starting with u8, the root file system is included in /etc/vfstab, and when the boot environment is scanned to create the ICF file, a duplicate entry is recorded. Here's what the error looks like. # lucreate -n s10u9-baseline Checking GRUB menu... System has findroot enabled GRUB Analyzing system configuration. Comparing source boot environment file systems with the file system(s) you specified for the new boot environment. Determining which file systems should be in the new boot environment. Updating boot environment description database on all BEs. Updating system configuration files. Creating configuration for boot environment . Source boot environment is . Creating boot environment . Creating file systems on boot environment . Creating file system for in zone on . The error indicator ----- /usr/lib/lu/lumkfs: test: unknown operator zfs Populating file systems on boot environment . Checking selection integrity. Integrity check OK. Populating contents of mount point . This should not happen ------ Copying. Ctrl-C and cleanup If you weren't paying close attention, you might not even know this is an error. The symptoms are lucreate times that are way too long due to the extraneous copy, or the one that alerted me to the problem, the root file system is filling up - again thanks to a redundant copy. This problem has already been identified and corrected, and a patch (121431-58 or later for x86, 121430-57 for SPARC) is available. Unfortunately, this patch has not yet made it into the Solaris 10 Recommended Patch Cluster. Applying the prerequisite patches from the latest cluster is a recommendation from the Live Upgrade Survival Guide blog, so an additional step will be required until the patch is included. Let's see how this works. # patchadd -p | grep 121431 Patch: 121429-13 Obsoletes: Requires: 120236-01 121431-16 Incompatibles: Packages: SUNWluzone Patch: 121431-54 Obsoletes: 121436-05 121438-02 Requires: Incompatibles: Packages: SUNWlucfg SUNWluu SUNWlur # unzip 121431-58 # patchadd 121431-58 Validating patches... Loading patches installed on the system... Done! Loading patches requested to install. Done! Checking patches that you specified for installation. Done! Approved patches will be installed in this order: 121431-58 Checking installed patches... Executing prepatch script... Installing patch packages... Patch 121431-58 has been successfully installed. See /var/sadm/patch/121431-58/log for details Executing postpatch script... Patch packages installed: SUNWlucfg SUNWlur SUNWluu # lucreate -n s10u9-baseline Checking GRUB menu... System has findroot enabled GRUB Analyzing system configuration. INFORMATION: Unable to determine size or capacity of slice . Comparing source boot environment file systems with the file system(s) you specified for the new boot environment. Determining which file systems should be in the new boot environment. INFORMATION: Unable to determine size or capacity of slice . Updating boot environment description database on all BEs. Updating system configuration files. Creating configuration for boot environment . Source boot environment is . Creating boot environment . Cloning file systems from boot environment to create boot environment . Creating snapshot for on . Creating clone for on . Setting canmount=noauto for in zone on . Saving existing file in top level dataset for BE as //boot/grub/menu.lst.prev. Saving existing file in top level dataset for BE as //boot/grub/menu.lst.prev. Saving existing file in top level dataset for BE as //boot/grub/menu.lst.prev. File propagation successful Copied GRUB menu from PBE to ABE No entry for BE in GRUB menu Population of boot environment successful. Creation of boot environment successful. This time it took just a few seconds. A cursory examination of the offending ICF file (/etc/lu/ICF.3 in this case) shows that the duplicate root file system entry is now gone. # cat /etc/lu/ICF.3 s10u8-baseline:-:/dev/zvol/dsk/panroot/swap:swap:8388608 s10u8-baseline:/:panroot/ROOT/s10u8-baseline:zfs:0 s10u8-baseline:/vbox:pandora/vbox:zfs:0 s10u8-baseline:/setup:pandora/setup:zfs:0 s10u8-baseline:/export:pandora/export:zfs:0 s10u8-baseline:/pandora:pandora:zfs:0 s10u8-baseline:/panroot:panroot:zfs:0 s10u8-baseline:/workshop:pandora/workshop:zfs:0 s10u8-baseline:/export/iso:pandora/iso:zfs:0 s10u8-baseline:/export/home:pandora/home:zfs:0 s10u8-baseline:/vbox/HardDisks:pandora/vbox/HardDisks:zfs:0 s10u8-baseline:/vbox/HardDisks/WinXP:pandora/vbox/HardDisks/WinXP:zfs:0 Solaris 10 9/10 introduces new autoregistration file This one is actually mentioned in the Oracle Solaris 9/10 release notes. I know, I hate it when that happens too. Here's what the "error" looks like. # luupgrade -u -s /mnt -n s10u9-baseline System has findroot enabled GRUB No entry for BE in GRUB menu Copying failsafe kernel from media. 61364 blocks miniroot filesystem is Mounting miniroot at ERROR: The auto registration file does not exist or incomplete. The auto registration file is mandatory for this upgrade. Use -k argument along with luupgrade command. autoreg_file is path to auto registration information file. See sysidcfg(4) for a list of valid keywords for use in this file. The format of the file is as follows. oracle_user=xxxx oracle_pw=xxxx http_proxy_host=xxxx http_proxy_port=xxxx http_proxy_user=xxxx http_proxy_pw=xxxx For more details refer "Oracle Solaris 10 9/10 Installation Guide: Planning for Installation and Upgrade". As with the previous problem, this is also easy to work around. Assuming that you don't want to use the auto-registration feature at upgrade time, create a file that contains just autoreg=disable and pass the filename on to luupgrade. Here is an example. # echo "autoreg=disable" /var/tmp/no-autoreg # luupgrade -u -s /mnt -k /var/tmp/no-autoreg -n s10u9-baseline System has findroot enabled GRUB No entry for BE in GRUB menu Copying failsafe kernel from media. 61364 blocks miniroot filesystem is Mounting miniroot at ####################################################################### NOTE: To improve products and services, Oracle Solaris communicates configuration data to Oracle after rebooting. You can register your version of Oracle Solaris to capture this data for your use, or the data is sent anonymously. For information about what configuration data is communicated and how to control this facility, see the Release Notes or www.oracle.com/goto/solarisautoreg. INFORMATION: After activated and booted into new BE , Auto Registration happens automatically with the following Information autoreg=disable ####################################################################### Validating the contents of the media . The media is a standard Solaris media. The media contains an operating system upgrade image. The media contains version . Constructing upgrade profile to use. Locating the operating system upgrade program. Checking for existence of previously scheduled Live Upgrade requests. Creating upgrade profile for BE . Checking for GRUB menu on ABE . Saving GRUB menu on ABE . Checking for x86 boot partition on ABE. Determining packages to install or upgrade for BE . Performing the operating system upgrade of the BE . CAUTION: Interrupting this process may leave the boot environment unstable or unbootable. The Live Upgrade operation now proceeds as expected. Once the system upgrade is complete, we can manually register the system. If you want to do a hands off registration during the upgrade, see the Oracle Solaris Auto Registration section of the Oracle Solaris Release Notes for instructions on how to do that. Technocrati Tags: Oracle Solaris Patching Live Upgrade var sc_project=1193495; var sc_invisible=1; var sc_security="a46f6831";

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  • Solving Big Problems with Oracle R Enterprise, Part I

    - by dbayard
    Abstract: This blog post will show how we used Oracle R Enterprise to tackle a customer’s big calculation problem across a big data set. Overview: Databases are great for managing large amounts of data in a central place with rigorous enterprise-level controls.  R is great for doing advanced computations.  Sometimes you need to do advanced computations on large amounts of data, subject to rigorous enterprise-level concerns.  This blog post shows how Oracle R Enterprise enables R plus the Oracle Database enabled us to do some pretty sophisticated calculations across 1 million accounts (each with many detailed records) in minutes. The problem: A financial services customer of mine has a need to calculate the historical internal rate of return (IRR) for its customers’ portfolios.  This information is needed for customer statements and the online web application.  In the past, they had solved this with a home-grown application that pulled trade and account data out of their data warehouse and ran the calculations.  But this home-grown application was not able to do this fast enough, plus it was a challenge for them to write and maintain the code that did the IRR calculation. IRR – a problem that R is good at solving: Internal Rate of Return is an interesting calculation in that in most real-world scenarios it is impractical to calculate exactly.  Rather, IRR is a calculation where approximation techniques need to be used.  In this blog post, we will discuss calculating the “money weighted rate of return” but in the actual customer proof of concept we used R to calculate both money weighted rate of returns and time weighted rate of returns.  You can learn more about the money weighted rate of returns here: http://www.wikinvest.com/wiki/Money-weighted_return First Steps- Calculating IRR in R We will start with calculating the IRR in standalone/desktop R.  In our second post, we will show how to take this desktop R function, deploy it to an Oracle Database, and make it work at real-world scale.  The first step we did was to get some sample data.  For a historical IRR calculation, you have a balances and cash flows.  In our case, the customer provided us with several accounts worth of sample data in Microsoft Excel.      The above figure shows part of the spreadsheet of sample data.  The data provides balances and cash flows for a sample account (BMV=beginning market value. FLOW=cash flow in/out of account. EMV=ending market value). Once we had the sample spreadsheet, the next step we did was to read the Excel data into R.  This is something that R does well.  R offers multiple ways to work with spreadsheet data.  For instance, one could save the spreadsheet as a .csv file.  In our case, the customer provided a spreadsheet file containing multiple sheets where each sheet provided data for a different sample account.  To handle this easily, we took advantage of the RODBC package which allowed us to read the Excel data sheet-by-sheet without having to create individual .csv files.  We wrote ourselves a little helper function called getsheet() around the RODBC package.  Then we loaded all of the sample accounts into a data.frame called SimpleMWRRData. Writing the IRR function At this point, it was time to write the money weighted rate of return (MWRR) function itself.  The definition of MWRR is easily found on the internet or if you are old school you can look in an investment performance text book.  In the customer proof, we based our calculations off the ones defined in the The Handbook of Investment Performance: A User’s Guide by David Spaulding since this is the reference book used by the customer.  (One of the nice things we found during the course of this proof-of-concept is that by using R to write our IRR functions we could easily incorporate the specific variations and business rules of the customer into the calculation.) The key thing with calculating IRR is the need to solve a complex equation with a numerical approximation technique.  For IRR, you need to find the value of the rate of return (r) that sets the Net Present Value of all the flows in and out of the account to zero.  With R, we solve this by defining our NPV function: where bmv is the beginning market value, cf is a vector of cash flows, t is a vector of time (relative to the beginning), emv is the ending market value, and tend is the ending time. Since solving for r is a one-dimensional optimization problem, we decided to take advantage of R’s optimize method (http://stat.ethz.ch/R-manual/R-patched/library/stats/html/optimize.html). The optimize method can be used to find a minimum or maximum; to find the value of r where our npv function is closest to zero, we wrapped our npv function inside the abs function and asked optimize to find the minimum.  Here is an example of using optimize: where low and high are scalars that indicate the range to search for an answer.   To test this out, we need to set values for bmv, cf, t, emv, tend, low, and high.  We will set low and high to some reasonable defaults. For example, this account had a negative 2.2% money weighted rate of return. Enhancing and Packaging the IRR function With numerical approximation methods like optimize, sometimes you will not be able to find an answer with your initial set of inputs.  To account for this, our approach was to first try to find an answer for r within a narrow range, then if we did not find an answer, try calling optimize() again with a broader range.  See the R help page on optimize()  for more details about the search range and its algorithm. At this point, we can now write a simplified version of our MWRR function.  (Our real-world version is  more sophisticated in that it calculates rate of returns for 5 different time periods [since inception, last quarter, year-to-date, last year, year before last year] in a single invocation.  In our actual customer proof, we also defined time-weighted rate of return calculations.  The beauty of R is that it was very easy to add these enhancements and additional calculations to our IRR package.)To simplify code deployment, we then created a new package of our IRR functions and sample data.  For this blog post, we only need to include our SimpleMWRR function and our SimpleMWRRData sample data.  We created the shell of the package by calling: To turn this package skeleton into something usable, at a minimum you need to edit the SimpleMWRR.Rd and SimpleMWRRData.Rd files in the \man subdirectory.  In those files, you need to at least provide a value for the “title” section. Once that is done, you can change directory to the IRR directory and type at the command-line: The myIRR package for this blog post (which has both SimpleMWRR source and SimpleMWRRData sample data) is downloadable from here: myIRR package Testing the myIRR package Here is an example of testing our IRR function once it was converted to an installable package: Calculating IRR for All the Accounts So far, we have shown how to calculate IRR for a single account.  The real-world issue is how do you calculate IRR for all of the accounts?This is the kind of situation where we can leverage the “Split-Apply-Combine” approach (see http://www.cscs.umich.edu/~crshalizi/weblog/815.html).  Given that our sample data can fit in memory, one easy approach is to use R’s “by” function.  (Other approaches to Split-Apply-Combine such as plyr can also be used.  See http://4dpiecharts.com/2011/12/16/a-quick-primer-on-split-apply-combine-problems/). Here is an example showing the use of “by” to calculate the money weighted rate of return for each account in our sample data set.  Recap and Next Steps At this point, you’ve seen the power of R being used to calculate IRR.  There were several good things: R could easily work with the spreadsheets of sample data we were given R’s optimize() function provided a nice way to solve for IRR- it was both fast and allowed us to avoid having to code our own iterative approximation algorithm R was a convenient language to express the customer-specific variations, business-rules, and exceptions that often occur in real-world calculations- these could be easily added to our IRR functions The Split-Apply-Combine technique can be used to perform calculations of IRR for multiple accounts at once. However, there are several challenges yet to be conquered at this point in our story: The actual data that needs to be used lives in a database, not in a spreadsheet The actual data is much, much bigger- too big to fit into the normal R memory space and too big to want to move across the network The overall process needs to run fast- much faster than a single processor The actual data needs to be kept secured- another reason to not want to move it from the database and across the network And the process of calculating the IRR needs to be integrated together with other database ETL activities, so that IRR’s can be calculated as part of the data warehouse refresh processes In our next blog post in this series, we will show you how Oracle R Enterprise solved these challenges.

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  • Navigation in Win8 Metro Style applications

    - by Dennis Vroegop
    In Windows 8, Touch is, as they say, a first class citizen. Now, to be honest: they also said that in Windows 7. However in Win8 this is actually true. Applications are meant to be used by touch. Yes, you can still use mouse, keyboard and pen and your apps should take that into account but touch is where you should focus on initially. Will all users have touch enabled devices? No, not in the first place. I don’t think touchscreens will be on every device sold next year. But in 5 years? Who knows? Don’t forget: if your app is successful it will be around for a long time and by that time touchscreens will be everywhere. Another reason to embrace touch is that it’s easier to develop a touch-oriented app and then to make sure that keyboard, nouse and pen work as doing it the other way around. Porting a mouse-based application to a touch based application almost never works. The reverse gives you much more chances for success. That being said, there are some things that you need to think about. Most people have more than one finger, while most users only use one mouse at the time. Still, most touch-developers translate their mouse-knowledge to the touch and think they did a good job. Martin Tirion from Microsoft said that since Touch is a new language people face the same challenges they do when learning a new real spoken language. The first thing people try when learning a new language is simply replace the words in their native language to the newly learned words. At first they don’t care about grammar. To a native speaker of that other language this sounds all wrong but they still will be able to understand what the intention was. If you don’t believe me: try Google translate to translate something for you from your language to another and then back and see what happens. The same thing happens with Touch. Most developers translate a mouse-click into a tap-event and think they’re done. Well matey, you’re not done. Not by far. There are things you can do with a mouse that you cannot do with touch. Think hover. A mouse has the ability to ‘slide’ over UI elements. Touch doesn’t (I know: with Pen you can do this but I’m talking about actual fingers here). A touch is either there or it isn’t. And right-click? Forget about it. A click is a click.  Yes, you have more than one finger but the machine doesn’t know which finger you use… The other way around is also true. Like I said: most users only have one mouse but they are likely to have more than one finger. So how do we take that into account? Thinking about this is really worth the time: you might come up with some surprisingly good ideas! Still: don’t forget that not every user has touch-enabled hardware so make sure your app is useable for both groups. Keep this in mind: we’re going to need it later on! Now. Apps should be easy to use. You don’t want your user to read through pages and pages of documentation before they can use the app. Imagine that spotter next to an airfield suddenly seeing a prototype of a Concorde 2 landing on the nearby runway. He probably wants to enter that information in our app NOW and not after he’s taken a 3 day course. Even if he still has to download the app, install it for the first time and then run it he should be on his way immediately. At least, fast enough to note down the details of that unique, rare and possibly exciting sighting he just did. So.. How do we do this? Well, I am not talking about games here. Games are in a league of their own. They fall outside the scope of the apps I am describing. But all the others can roughly be characterized as being one of two flavors: the navigation is either flat or hierarchical. That’s it. And if it’s hierarchical it’s no more than three levels deep. Not more. Your users will get lost otherwise and we don’t want that. Flat is simple. Just imagine we have one screen that is as high as our physical screen is and as wide as you need it to be. Don’t worry if it doesn’t fit on the screen: people can scroll to the right and left. Don’t combine up/down and left/right scrolling: it’s confusing. Next to that, since most users will hold their device in landscape mode it’s very natural to scroll horizontal. So let’s use that when we have a flat model. The same applies to the hierarchical model. Try to have at most three levels. If you need more space, find a way to group the items in such a way that you can fit it in three, very wide lanes. At the highest level we have the so called hub level. This is the entry point of the app and as such it should give the user an immediate feeling of what the app is all about. If your app has categories if items then you might show these categories here. And while you’re at it: also show 2 or 3 of the items itself here to give the user a taste of what lies beneath. If the user selects a category you go to the section part. Here you show several sections (again, go as wide as you need) with again some detail examples. After that: the details layer shows each item. By giving some samples of the underlaying layer you achieve several things: you make the layer attractive by showing several different things, you show some highlights so the user sees actual content and you provide a shortcut to the layers underneath. The image below is borrowed from the http://design.windows.com website which has tons and tons of examples: For our app we’ll use this layout. So what will we show? Well, let’s see what sorts of features our app has to offer. I’ll repeat them here: Note planes Add pictures of that plane Notify friends of new spots Share new spots on social media Write down arrival times Write down departure times Write down the runway they take I am sure you can think of some more items but for now we'll use these. In the hub we’ll show something that represents “Spots”, “Friends”, “Social”. Apparently we have an inner list of spotter-friends that are in the app, while we also have to whole world in social. In the layer below we show something else, depending on what the user choose. When they choose “Spots” we’ll display the last spots, last spots by our friends (so we can actually jump from this category to the one next to it) and so on. When they choose a “spot” (or press the + icon in the App bar, which I’ll talk about next time) they go to the lowest and final level that shows details about that spot, including a picture, date and time and the notes belonging to that entry. You’d be amazed at how easy it is to organize your app this way. If you don’t have enough room in these three layers you probably could easily get away with grouping items. Take a look at our hub: we have three completely different things in one place. If you still can’t fit it all in in a logical and consistent way, chances are you are trying to do too much in this app. Go back to your mission statement, determine if it is specific enough and if your feature list helps that statement or makes it unclear. Go ahead. Give it a go! Next time we’ll talk about the look and feel, the charms and the app-bar….

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  • LVM / Device Mapper maps wrong device

    - by DaDaDom
    Hi, I run a LVM setup on a raid1 created by mdadm. md2 is based on sda6 (major:minor 8:6) and sdb6 (8:22). md2 is partition 9:2. The VG on top of md2 has 4 LVs, var, home, usr, tmp. First the problem: While booting it seems as if the device mapper takes the wrong partition for the mapping! Immediately after boot the information is like ~# dmsetup table systemlvm-home: 0 4194304 linear 8:22 384 systemlvm-home: 4194304 16777216 linear 8:22 69206400 systemlvm-home: 20971520 8388608 linear 8:22 119538048 systemlvm-home: 29360128 6291456 linear 8:22 243270016 systemlvm-tmp: 0 2097152 linear 8:22 41943424 systemlvm-usr: 0 10485760 linear 8:22 20971904 systemlvm-var: 0 10485760 linear 8:22 10486144 systemlvm-var: 10485760 6291456 linear 8:22 4194688 systemlvm-var: 16777216 4194304 linear 8:22 44040576 systemlvm-var: 20971520 10485760 linear 8:22 31457664 systemlvm-var: 31457280 20971520 linear 8:22 48234880 systemlvm-var: 52428800 33554432 linear 8:22 85983616 systemlvm-var: 85983232 115343360 linear 8:22 127926656 ~# cat /proc/mdstat Personalities : [raid1] md2 : active (auto-read-only) raid1 sda6[0] 151798080 blocks [2/1] [U_] md0 : active raid1 sda1[0] sdb1[1] 96256 blocks [2/2] [UU] md1 : active raid1 sda2[0] sdb2[1] 2931776 blocks [2/2] [UU] I have to manually "lvchange -an" all LVs, add /dev/sdb6 back to the raid and reactivate the LVs, then all is fine. But it prevents me from automounting the partitions and obviously leads to a bunch of other problems. If everything works fine, the information is like ~$ cat /proc/mdstat Personalities : [raid1] md2 : active raid1 sdb6[1] sda6[0] 151798080 blocks [2/2] [UU] ... ~# dmsetup table systemlvm-home: 0 4194304 linear 9:2 384 systemlvm-home: 4194304 16777216 linear 9:2 69206400 systemlvm-home: 20971520 8388608 linear 9:2 119538048 systemlvm-home: 29360128 6291456 linear 9:2 243270016 systemlvm-tmp: 0 2097152 linear 9:2 41943424 systemlvm-usr: 0 10485760 linear 9:2 20971904 systemlvm-var: 0 10485760 linear 9:2 10486144 systemlvm-var: 10485760 6291456 linear 9:2 4194688 systemlvm-var: 16777216 4194304 linear 9:2 44040576 systemlvm-var: 20971520 10485760 linear 9:2 31457664 systemlvm-var: 31457280 20971520 linear 9:2 48234880 systemlvm-var: 52428800 33554432 linear 9:2 85983616 systemlvm-var: 85983232 115343360 linear 9:2 127926656 I think that LVM for some reason just "takes" /dev/sdb6 which is then missing in the raid. I tried almost all options in the lvm.conf but none seems to work. Below is some more information, like config files. Does anyone have any idea about what is going on here and how to prevent that? If you need any additional information, please let me know Thanks in advance! Dominik The information (off a "repaired" system): ~# cat /etc/debian_version 5.0.4 ~# uname -a Linux kermit 2.6.26-2-686 #1 SMP Wed Feb 10 08:59:21 UTC 2010 i686 GNU/Linux ~# lvm version LVM version: 2.02.39 (2008-06-27) Library version: 1.02.27 (2008-06-25) Driver version: 4.13.0 ~# cat /etc/mdadm/mdadm.conf DEVICE partitions ARRAY /dev/md1 level=raid1 num-devices=2 metadata=00.90 UUID=11e9dc6c:1da99f3f:b3088ca6:c6fe60e9 ARRAY /dev/md0 level=raid1 num-devices=2 metadata=00.90 UUID=92ed1e4b:897361d3:070682b3:3baa4fa1 ARRAY /dev/md2 level=raid1 num-devices=2 metadata=00.90 UUID=601d4642:39dc80d7:96e8bbac:649924ba ~# mount /dev/md1 on / type ext3 (rw,errors=remount-ro) tmpfs on /lib/init/rw type tmpfs (rw,nosuid,mode=0755) proc on /proc type proc (rw,noexec,nosuid,nodev) sysfs on /sys type sysfs (rw,noexec,nosuid,nodev) procbususb on /proc/bus/usb type usbfs (rw) udev on /dev type tmpfs (rw,mode=0755) tmpfs on /dev/shm type tmpfs (rw,nosuid,nodev) devpts on /dev/pts type devpts (rw,noexec,nosuid,gid=5,mode=620) /dev/md0 on /boot type ext3 (rw) /dev/mapper/systemlvm-usr on /usr type reiserfs (rw) /dev/mapper/systemlvm-tmp on /tmp type reiserfs (rw) /dev/mapper/systemlvm-home on /home type reiserfs (rw) /dev/mapper/systemlvm-var on /var type reiserfs (rw) ~# grep -v ^$ /etc/lvm/lvm.conf | grep -v "#" devices { dir = "/dev" scan = [ "/dev" ] preferred_names = [ ] filter = [ "a|/dev/md.*|", "r/.*/" ] cache_dir = "/etc/lvm/cache" cache_file_prefix = "" write_cache_state = 1 sysfs_scan = 1 md_component_detection = 1 ignore_suspended_devices = 0 } log { verbose = 0 syslog = 1 overwrite = 0 level = 0 indent = 1 command_names = 0 prefix = " " } backup { backup = 1 backup_dir = "/etc/lvm/backup" archive = 1 archive_dir = "/etc/lvm/archive" retain_min = 10 retain_days = 30 } shell { history_size = 100 } global { umask = 077 test = 0 units = "h" activation = 1 proc = "/proc" locking_type = 1 fallback_to_clustered_locking = 1 fallback_to_local_locking = 1 locking_dir = "/lib/init/rw" } activation { missing_stripe_filler = "/dev/ioerror" reserved_stack = 256 reserved_memory = 8192 process_priority = -18 mirror_region_size = 512 readahead = "auto" mirror_log_fault_policy = "allocate" mirror_device_fault_policy = "remove" } :~# vgscan -vvv Processing: vgscan -vvv O_DIRECT will be used Setting global/locking_type to 1 File-based locking selected. Setting global/locking_dir to /lib/init/rw Locking /lib/init/rw/P_global WB Wiping cache of LVM-capable devices /dev/block/1:0: Added to device cache /dev/block/1:1: Added to device cache /dev/block/1:10: Added to device cache /dev/block/1:11: Added to device cache /dev/block/1:12: Added to device cache /dev/block/1:13: Added to device cache /dev/block/1:14: Added to device cache /dev/block/1:15: Added to device cache /dev/block/1:2: Added to device cache /dev/block/1:3: Added to device cache /dev/block/1:4: Added to device cache /dev/block/1:5: Added to device cache /dev/block/1:6: Added to device cache /dev/block/1:7: Added to device cache /dev/block/1:8: Added to device cache /dev/block/1:9: Added to device cache /dev/block/253:0: Added to device cache /dev/block/253:1: Added to device cache /dev/block/253:2: Added to device cache /dev/block/253:3: Added to device cache /dev/block/8:0: Added to device cache /dev/block/8:1: Added to device cache /dev/block/8:16: Added to device cache /dev/block/8:17: Added to device cache /dev/block/8:18: Added to device cache /dev/block/8:19: Added to device cache /dev/block/8:2: Added to device cache /dev/block/8:21: Added to device cache /dev/block/8:22: Added to device cache /dev/block/8:3: Added to device cache /dev/block/8:5: Added to device cache /dev/block/8:6: Added to device cache /dev/block/9:0: Already in device cache /dev/block/9:1: Already in device cache /dev/block/9:2: Already in device cache /dev/bsg/0:0:0:0: Not a block device /dev/bsg/1:0:0:0: Not a block device /dev/bus/usb/001/001: Not a block device [... many more "not a block device"] /dev/core: Not a block device /dev/cpu_dma_latency: Not a block device /dev/disk/by-id/ata-SAMSUNG_HD160JJ_S08HJ10L507895: Aliased to /dev/block/8:16 in device cache /dev/disk/by-id/ata-SAMSUNG_HD160JJ_S08HJ10L507895-part1: Aliased to /dev/block/8:17 in device cache /dev/disk/by-id/ata-SAMSUNG_HD160JJ_S08HJ10L507895-part2: Aliased to /dev/block/8:18 in device cache /dev/disk/by-id/ata-SAMSUNG_HD160JJ_S08HJ10L507895-part3: Aliased to /dev/block/8:19 in device cache /dev/disk/by-id/ata-SAMSUNG_HD160JJ_S08HJ10L507895-part5: Aliased to /dev/block/8:21 in device cache /dev/disk/by-id/ata-SAMSUNG_HD160JJ_S08HJ10L507895-part6: Aliased to /dev/block/8:22 in device cache /dev/disk/by-id/ata-SAMSUNG_HD160JJ_S08HJ10L526800: Aliased to /dev/block/8:0 in device cache /dev/disk/by-id/ata-SAMSUNG_HD160JJ_S08HJ10L526800-part1: Aliased to /dev/block/8:1 in device cache /dev/disk/by-id/ata-SAMSUNG_HD160JJ_S08HJ10L526800-part2: Aliased to /dev/block/8:2 in device cache /dev/disk/by-id/ata-SAMSUNG_HD160JJ_S08HJ10L526800-part3: Aliased to /dev/block/8:3 in device cache /dev/disk/by-id/ata-SAMSUNG_HD160JJ_S08HJ10L526800-part5: Aliased to /dev/block/8:5 in device cache /dev/disk/by-id/ata-SAMSUNG_HD160JJ_S08HJ10L526800-part6: Aliased to /dev/block/8:6 in device cache /dev/disk/by-id/dm-name-systemlvm-home: Aliased to /dev/block/253:2 in device cache /dev/disk/by-id/dm-name-systemlvm-tmp: Aliased to /dev/block/253:3 in device cache /dev/disk/by-id/dm-name-systemlvm-usr: Aliased to /dev/block/253:1 in device cache /dev/disk/by-id/dm-name-systemlvm-var: Aliased to /dev/block/253:0 in device cache /dev/disk/by-id/dm-uuid-LVM-rL8Oq2dA7oeRYeu1orJA7Ufnb1kjOyvr25N7CRZpUMzR18NfS6zeSeAVnVT98LuU: Aliased to /dev/block/253:0 in device cache /dev/disk/by-id/dm-uuid-LVM-rL8Oq2dA7oeRYeu1orJA7Ufnb1kjOyvr3TpFXtLjYGEwn79IdXsSCZPl8AxmqbmQ: Aliased to /dev/block/253:1 in device cache /dev/disk/by-id/dm-uuid-LVM-rL8Oq2dA7oeRYeu1orJA7Ufnb1kjOyvrc5MJ4KolevMjt85PPBrQuRTkXbx6NvTi: Aliased to /dev/block/253:3 in device cache /dev/disk/by-id/dm-uuid-LVM-rL8Oq2dA7oeRYeu1orJA7Ufnb1kjOyvrYXrfdg5OSYDVkNeiQeQksgCI849Z2hx8: Aliased to /dev/block/253:2 in device cache /dev/disk/by-id/md-uuid-11e9dc6c:1da99f3f:b3088ca6:c6fe60e9: Already in device cache /dev/disk/by-id/md-uuid-601d4642:39dc80d7:96e8bbac:649924ba: Already in device cache /dev/disk/by-id/md-uuid-92ed1e4b:897361d3:070682b3:3baa4fa1: Already in device cache /dev/disk/by-id/scsi-SATA_SAMSUNG_HD160JJS08HJ10L507895: Aliased to /dev/block/8:16 in device cache /dev/disk/by-id/scsi-SATA_SAMSUNG_HD160JJS08HJ10L507895-part1: Aliased to /dev/block/8:17 in device cache /dev/disk/by-id/scsi-SATA_SAMSUNG_HD160JJS08HJ10L507895-part2: Aliased to /dev/block/8:18 in device cache /dev/disk/by-id/scsi-SATA_SAMSUNG_HD160JJS08HJ10L507895-part3: Aliased to /dev/block/8:19 in device cache /dev/disk/by-id/scsi-SATA_SAMSUNG_HD160JJS08HJ10L507895-part5: Aliased to /dev/block/8:21 in device cache /dev/disk/by-id/scsi-SATA_SAMSUNG_HD160JJS08HJ10L507895-part6: Aliased to /dev/block/8:22 in device cache /dev/disk/by-id/scsi-SATA_SAMSUNG_HD160JJS08HJ10L526800: Aliased to /dev/block/8:0 in device cache /dev/disk/by-id/scsi-SATA_SAMSUNG_HD160JJS08HJ10L526800-part1: Aliased to /dev/block/8:1 in device cache /dev/disk/by-id/scsi-SATA_SAMSUNG_HD160JJS08HJ10L526800-part2: Aliased to /dev/block/8:2 in device cache /dev/disk/by-id/scsi-SATA_SAMSUNG_HD160JJS08HJ10L526800-part3: Aliased to /dev/block/8:3 in device cache /dev/disk/by-id/scsi-SATA_SAMSUNG_HD160JJS08HJ10L526800-part5: Aliased to /dev/block/8:5 in device cache /dev/disk/by-id/scsi-SATA_SAMSUNG_HD160JJS08HJ10L526800-part6: Aliased to /dev/block/8:6 in device cache /dev/disk/by-path/pci-0000:00:0f.0-scsi-0:0:0:0: Aliased to /dev/block/8:0 in device cache /dev/disk/by-path/pci-0000:00:0f.0-scsi-0:0:0:0-part1: Aliased to /dev/block/8:1 in device cache /dev/disk/by-path/pci-0000:00:0f.0-scsi-0:0:0:0-part2: Aliased to /dev/block/8:2 in device cache /dev/disk/by-path/pci-0000:00:0f.0-scsi-0:0:0:0-part3: Aliased to /dev/block/8:3 in device cache /dev/disk/by-path/pci-0000:00:0f.0-scsi-0:0:0:0-part5: Aliased to /dev/block/8:5 in device cache /dev/disk/by-path/pci-0000:00:0f.0-scsi-0:0:0:0-part6: Aliased to /dev/block/8:6 in device cache /dev/disk/by-path/pci-0000:00:0f.0-scsi-1:0:0:0: Aliased to /dev/block/8:16 in device cache /dev/disk/by-path/pci-0000:00:0f.0-scsi-1:0:0:0-part1: Aliased to /dev/block/8:17 in device cache /dev/disk/by-path/pci-0000:00:0f.0-scsi-1:0:0:0-part2: Aliased to /dev/block/8:18 in device cache /dev/disk/by-path/pci-0000:00:0f.0-scsi-1:0:0:0-part3: Aliased to /dev/block/8:19 in device cache /dev/disk/by-path/pci-0000:00:0f.0-scsi-1:0:0:0-part5: Aliased to /dev/block/8:21 in device cache /dev/disk/by-path/pci-0000:00:0f.0-scsi-1:0:0:0-part6: Aliased to /dev/block/8:22 in device cache /dev/disk/by-uuid/13c1262b-e06f-40ce-b088-ce410640a6dc: Aliased to /dev/block/253:3 in device cache /dev/disk/by-uuid/379f57b0-2e03-414c-808a-f76160617336: Aliased to /dev/block/253:2 in device cache /dev/disk/by-uuid/4fb2d6d3-bd51-48d3-95ee-8e404faf243d: Already in device cache /dev/disk/by-uuid/5c6728ec-82c1-49c0-93c5-f6dbd5c0d659: Aliased to /dev/block/8:5 in device cache /dev/disk/by-uuid/a13cdfcd-2191-4185-a727-ffefaf7a382e: Aliased to /dev/block/253:1 in device cache /dev/disk/by-uuid/e0d5893d-ff88-412f-b753-9e3e9af3242d: Aliased to /dev/block/8:21 in device cache /dev/disk/by-uuid/e79c9da6-8533-4e55-93ec-208876671edc: Aliased to /dev/block/253:0 in device cache /dev/disk/by-uuid/f3f176f5-12f7-4af8-952a-c6ac43a6e332: Already in device cache /dev/dm-0: Aliased to /dev/block/253:0 in device cache (preferred name) /dev/dm-1: Aliased to /dev/block/253:1 in device cache (preferred name) /dev/dm-2: Aliased to /dev/block/253:2 in device cache (preferred name) /dev/dm-3: Aliased to /dev/block/253:3 in device cache (preferred name) /dev/fd: Symbolic link to directory /dev/full: Not a block device /dev/hpet: Not a block device /dev/initctl: Not a block device /dev/input/by-path/platform-i8042-serio-0-event-kbd: Not a block device /dev/input/event0: Not a block device /dev/input/mice: Not a block device /dev/kmem: Not a block device /dev/kmsg: Not a block device /dev/log: Not a block device /dev/loop/0: Added to device cache /dev/MAKEDEV: Not a block device /dev/mapper/control: Not a block device /dev/mapper/systemlvm-home: Aliased to /dev/dm-2 in device cache /dev/mapper/systemlvm-tmp: Aliased to /dev/dm-3 in device cache /dev/mapper/systemlvm-usr: Aliased to /dev/dm-1 in device cache /dev/mapper/systemlvm-var: Aliased to /dev/dm-0 in device cache /dev/md0: Already in device cache /dev/md1: Already in device cache /dev/md2: Already in device cache /dev/mem: Not a block device /dev/net/tun: Not a block device /dev/network_latency: Not a block device /dev/network_throughput: Not a block device /dev/null: Not a block device /dev/port: Not a block device /dev/ppp: Not a block device /dev/psaux: Not a block device /dev/ptmx: Not a block device /dev/pts/0: Not a block device /dev/ram0: Aliased to /dev/block/1:0 in device cache (preferred name) /dev/ram1: Aliased to /dev/block/1:1 in device cache (preferred name) /dev/ram10: Aliased to /dev/block/1:10 in device cache (preferred name) /dev/ram11: Aliased to /dev/block/1:11 in device cache (preferred name) /dev/ram12: Aliased to /dev/block/1:12 in device cache (preferred name) /dev/ram13: Aliased to /dev/block/1:13 in device cache (preferred name) /dev/ram14: Aliased to /dev/block/1:14 in device cache (preferred name) /dev/ram15: Aliased to /dev/block/1:15 in device cache (preferred name) /dev/ram2: Aliased to /dev/block/1:2 in device cache (preferred name) /dev/ram3: Aliased to /dev/block/1:3 in device cache (preferred name) /dev/ram4: Aliased to /dev/block/1:4 in device cache (preferred name) /dev/ram5: Aliased to /dev/block/1:5 in device cache (preferred name) /dev/ram6: Aliased to /dev/block/1:6 in device cache (preferred name) /dev/ram7: Aliased to /dev/block/1:7 in device cache (preferred name) /dev/ram8: Aliased to /dev/block/1:8 in device cache (preferred name) /dev/ram9: Aliased to /dev/block/1:9 in device cache (preferred name) /dev/random: Not a block device /dev/root: Already in device cache /dev/rtc: Not a block device /dev/rtc0: Not a block device /dev/sda: Aliased to /dev/block/8:0 in device cache (preferred name) /dev/sda1: Aliased to /dev/block/8:1 in device cache (preferred name) /dev/sda2: Aliased to /dev/block/8:2 in device cache (preferred name) /dev/sda3: Aliased to /dev/block/8:3 in device cache (preferred name) /dev/sda5: Aliased to /dev/block/8:5 in device cache (preferred name) /dev/sda6: Aliased to /dev/block/8:6 in device cache (preferred name) /dev/sdb: Aliased to /dev/block/8:16 in device cache (preferred name) /dev/sdb1: Aliased to /dev/block/8:17 in device cache (preferred name) /dev/sdb2: Aliased to /dev/block/8:18 in device cache (preferred name) /dev/sdb3: Aliased to /dev/block/8:19 in device cache (preferred name) /dev/sdb5: Aliased to /dev/block/8:21 in device cache (preferred name) /dev/sdb6: Aliased to /dev/block/8:22 in device cache (preferred name) /dev/shm/network/ifstate: Not a block device /dev/snapshot: Not a block device /dev/sndstat: stat failed: Datei oder Verzeichnis nicht gefunden /dev/stderr: Not a block device /dev/stdin: Not a block device /dev/stdout: Not a block device /dev/systemlvm/home: Aliased to /dev/dm-2 in device cache /dev/systemlvm/tmp: Aliased to /dev/dm-3 in device cache /dev/systemlvm/usr: Aliased to /dev/dm-1 in device cache /dev/systemlvm/var: Aliased to /dev/dm-0 in device cache /dev/tty: Not a block device /dev/tty0: Not a block device [... many more "not a block device"] /dev/vcsa6: Not a block device /dev/xconsole: Not a block device /dev/zero: Not a block device Wiping internal VG cache lvmcache: initialised VG #orphans_lvm1 lvmcache: initialised VG #orphans_pool lvmcache: initialised VG #orphans_lvm2 Reading all physical volumes. This may take a while... Finding all volume groups /dev/ram0: Skipping (regex) /dev/loop/0: Skipping (sysfs) /dev/sda: Skipping (regex) Opened /dev/md0 RO /dev/md0: size is 192512 sectors Closed /dev/md0 /dev/md0: size is 192512 sectors Opened /dev/md0 RW O_DIRECT /dev/md0: block size is 1024 bytes Closed /dev/md0 Using /dev/md0 Opened /dev/md0 RW O_DIRECT /dev/md0: block size is 1024 bytes /dev/md0: No label detected Closed /dev/md0 /dev/dm-0: Skipping (regex) /dev/ram1: Skipping (regex) /dev/sda1: Skipping (regex) Opened /dev/md1 RO /dev/md1: size is 5863552 sectors Closed /dev/md1 /dev/md1: size is 5863552 sectors Opened /dev/md1 RW O_DIRECT /dev/md1: block size is 4096 bytes Closed /dev/md1 Using /dev/md1 Opened /dev/md1 RW O_DIRECT /dev/md1: block size is 4096 bytes /dev/md1: No label detected Closed /dev/md1 /dev/dm-1: Skipping (regex) /dev/ram2: Skipping (regex) /dev/sda2: Skipping (regex) Opened /dev/md2 RO /dev/md2: size is 303596160 sectors Closed /dev/md2 /dev/md2: size is 303596160 sectors Opened /dev/md2 RW O_DIRECT /dev/md2: block size is 4096 bytes Closed /dev/md2 Using /dev/md2 Opened /dev/md2 RW O_DIRECT /dev/md2: block size is 4096 bytes /dev/md2: lvm2 label detected lvmcache: /dev/md2: now in VG #orphans_lvm2 (#orphans_lvm2) /dev/md2: Found metadata at 39936 size 2632 (in area at 2048 size 194560) for systemlvm (rL8Oq2-dA7o-eRYe-u1or-JA7U-fnb1-kjOyvr) lvmcache: /dev/md2: now in VG systemlvm with 1 mdas lvmcache: /dev/md2: setting systemlvm VGID to rL8Oq2dA7oeRYeu1orJA7Ufnb1kjOyvr lvmcache: /dev/md2: VG systemlvm: Set creation host to rescue. Closed /dev/md2 /dev/dm-2: Skipping (regex) /dev/ram3: Skipping (regex) /dev/sda3: Skipping (regex) /dev/dm-3: Skipping (regex) /dev/ram4: Skipping (regex) /dev/ram5: Skipping (regex) /dev/sda5: Skipping (regex) /dev/ram6: Skipping (regex) /dev/sda6: Skipping (regex) /dev/ram7: Skipping (regex) /dev/ram8: Skipping (regex) /dev/ram9: Skipping (regex) /dev/ram10: Skipping (regex) /dev/ram11: Skipping (regex) /dev/ram12: Skipping (regex) /dev/ram13: Skipping (regex) /dev/ram14: Skipping (regex) /dev/ram15: Skipping (regex) /dev/sdb: Skipping (regex) /dev/sdb1: Skipping (regex) /dev/sdb2: Skipping (regex) /dev/sdb3: Skipping (regex) /dev/sdb5: Skipping (regex) /dev/sdb6: Skipping (regex) Locking /lib/init/rw/V_systemlvm RB Finding volume group "systemlvm" Opened /dev/md2 RW O_DIRECT /dev/md2: block size is 4096 bytes /dev/md2: lvm2 label detected lvmcache: /dev/md2: now in VG #orphans_lvm2 (#orphans_lvm2) with 1 mdas /dev/md2: Found metadata at 39936 size 2632 (in area at 2048 size 194560) for systemlvm (rL8Oq2-dA7o-eRYe-u1or-JA7U-fnb1-kjOyvr) lvmcache: /dev/md2: now in VG systemlvm with 1 mdas lvmcache: /dev/md2: setting systemlvm VGID to rL8Oq2dA7oeRYeu1orJA7Ufnb1kjOyvr lvmcache: /dev/md2: VG systemlvm: Set creation host to rescue. Using cached label for /dev/md2 Read systemlvm metadata (19) from /dev/md2 at 39936 size 2632 /dev/md2 0: 0 16: home(0:0) /dev/md2 1: 16 24: var(40:0) /dev/md2 2: 40 40: var(0:0) /dev/md2 3: 80 40: usr(0:0) /dev/md2 4: 120 40: var(80:0) /dev/md2 5: 160 8: tmp(0:0) /dev/md2 6: 168 16: var(64:0) /dev/md2 7: 184 80: var(120:0) /dev/md2 8: 264 64: home(16:0) /dev/md2 9: 328 128: var(200:0) /dev/md2 10: 456 32: home(80:0) /dev/md2 11: 488 440: var(328:0) /dev/md2 12: 928 24: home(112:0) /dev/md2 13: 952 206: NULL(0:0) Found volume group "systemlvm" using metadata type lvm2 Read volume group systemlvm from /etc/lvm/backup/systemlvm Unlocking /lib/init/rw/V_systemlvm Closed /dev/md2 Unlocking /lib/init/rw/P_global ~# vgdisplay --- Volume group --- VG Name systemlvm System ID Format lvm2 Metadata Areas 1 Metadata Sequence No 19 VG Access read/write VG Status resizable MAX LV 0 Cur LV 4 Open LV 4 Max PV 0 Cur PV 1 Act PV 1 VG Size 144,75 GB PE Size 128,00 MB Total PE 1158 Alloc PE / Size 952 / 119,00 GB Free PE / Size 206 / 25,75 GB VG UUID rL8Oq2-dA7o-eRYe-u1or-JA7U-fnb1-kjOyvr ~# pvdisplay --- Physical volume --- PV Name /dev/md2 VG Name systemlvm PV Size 144,77 GB / not usable 16,31 MB Allocatable yes PE Size (KByte) 131072 Total PE 1158 Free PE 206 Allocated PE 952 PV UUID ZSAzP5-iBvr-L7jy-wB8T-AiWz-0g3m-HLK66Y :~# lvdisplay --- Logical volume --- LV Name /dev/systemlvm/home VG Name systemlvm LV UUID YXrfdg-5OSY-DVkN-eiQe-Qksg-CI84-9Z2hx8 LV Write Access read/write LV Status available # open 2 LV Size 17,00 GB Current LE 136 Segments 4 Allocation inherit Read ahead sectors auto - currently set to 256 Block device 253:2 --- Logical volume --- LV Name /dev/systemlvm/var VG Name systemlvm LV UUID 25N7CR-ZpUM-zR18-NfS6-zeSe-AVnV-T98LuU LV Write Access read/write LV Status available # open 2 LV Size 96,00 GB Current LE 768 Segments 7 Allocation inherit Read ahead sectors auto - currently set to 256 Block device 253:0 --- Logical volume --- LV Name /dev/systemlvm/usr VG Name systemlvm LV UUID 3TpFXt-LjYG-Ewn7-9IdX-sSCZ-Pl8A-xmqbmQ LV Write Access read/write LV Status available # open 2 LV Size 5,00 GB Current LE 40 Segments 1 Allocation inherit Read ahead sectors auto - currently set to 256 Block device 253:1 --- Logical volume --- LV Name /dev/systemlvm/tmp VG Name systemlvm LV UUID c5MJ4K-olev-Mjt8-5PPB-rQuR-TkXb-x6NvTi LV Write Access read/write LV Status available # open 2 LV Size 1,00 GB Current LE 8 Segments 1 Allocation inherit Read ahead sectors auto - currently set to 256 Block device 253:3

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  • trying to use mod_proxy with httpd and tomcat

    - by techsjs2012
    I been trying to use mod_proxy with httpd and tomcat... I have on VirtualBox running Scientific Linux which has httpd and tomcat 6 on it.. I made two nodes of tomcat6. I followed this guide like 10 times and still cant get the 2nd node of tomcat working.. http://www.richardnichols.net/2010/08/5-minute-guide-clustering-apache-tomcat/ Here is the lines from my http.conf file <Proxy balancer://testcluster stickysession=JSESSIONID> BalancerMember ajp://127.0.0.1:8009 min=10 max=100 route=node1 loadfactor=1 BalancerMember ajp://127.0.0.1:8109 min=10 max=100 route=node2 loadfactor=1 </Proxy> ProxyPass /examples balancer://testcluster/examples <Location /balancer-manager> SetHandler balancer-manager AuthType Basic AuthName "Balancer Manager" AuthUserFile "/etc/httpd/conf/.htpasswd" Require valid-user </Location> Now here is my server.xml from node1 <?xml version='1.0' encoding='utf-8'?> <!-- Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements. See the NOTICE file distributed with this work for additional information regarding copyright ownership. The ASF licenses this file to You under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. --> <!-- Note: A "Server" is not itself a "Container", so you may not define subcomponents such as "Valves" at this level. Documentation at /docs/config/server.html --> <Server port="8005" shutdown="SHUTDOWN"> <!--APR library loader. Documentation at /docs/apr.html --> <Listener className="org.apache.catalina.core.AprLifecycleListener" SSLEngine="on" /> <!--Initialize Jasper prior to webapps are loaded. Documentation at /docs/jasper-howto.html --> <Listener className="org.apache.catalina.core.JasperListener" /> <!-- Prevent memory leaks due to use of particular java/javax APIs--> <Listener className="org.apache.catalina.core.JreMemoryLeakPreventionListener" /> <!-- JMX Support for the Tomcat server. Documentation at /docs/non-existent.html --> <Listener className="org.apache.catalina.mbeans.ServerLifecycleListener" /> <Listener className="org.apache.catalina.mbeans.GlobalResourcesLifecycleListener" /> <!-- Global JNDI resources Documentation at /docs/jndi-resources-howto.html --> <GlobalNamingResources> <!-- Editable user database that can also be used by UserDatabaseRealm to authenticate users --> <Resource name="UserDatabase" auth="Container" type="org.apache.catalina.UserDatabase" description="User database that can be updated and saved" factory="org.apache.catalina.users.MemoryUserDatabaseFactory" pathname="conf/tomcat-users.xml" /> </GlobalNamingResources> <!-- A "Service" is a collection of one or more "Connectors" that share a single "Container" Note: A "Service" is not itself a "Container", so you may not define subcomponents such as "Valves" at this level. Documentation at /docs/config/service.html --> <Service name="Catalina"> <!--The connectors can use a shared executor, you can define one or more named thread pools--> <!-- <Executor name="tomcatThreadPool" namePrefix="catalina-exec-" maxThreads="150" minSpareThreads="4"/> --> <!-- A "Connector" represents an endpoint by which requests are received and responses are returned. Documentation at : Java HTTP Connector: /docs/config/http.html (blocking & non-blocking) Java AJP Connector: /docs/config/ajp.html APR (HTTP/AJP) Connector: /docs/apr.html Define a non-SSL HTTP/1.1 Connector on port 8080 <Connector port="8080" protocol="HTTP/1.1" connectionTimeout="20000" redirectPort="8443" /> --> <!-- A "Connector" using the shared thread pool--> <!-- <Connector executor="tomcatThreadPool" port="8080" protocol="HTTP/1.1" connectionTimeout="20000" redirectPort="8443" /> --> <!-- Define a SSL HTTP/1.1 Connector on port 8443 This connector uses the JSSE configuration, when using APR, the connector should be using the OpenSSL style configuration described in the APR documentation --> <!-- <Connector port="8443" protocol="HTTP/1.1" SSLEnabled="true" maxThreads="150" scheme="https" secure="true" clientAuth="false" sslProtocol="TLS" /> --> <!-- Define an AJP 1.3 Connector on port 8009 --> <Connector port="8009" protocol="AJP/1.3" redirectPort="8443" /> <!-- An Engine represents the entry point (within Catalina) that processes every request. The Engine implementation for Tomcat stand alone analyzes the HTTP headers included with the request, and passes them on to the appropriate Host (virtual host). Documentation at /docs/config/engine.html --> <!-- You should set jvmRoute to support load-balancing via AJP ie : <Engine name="Catalina" defaultHost="localhost" jvmRoute="jvm1"> --> <Engine name="Catalina" defaultHost="localhost" jvmRoute="node1"> <!--For clustering, please take a look at documentation at: /docs/cluster-howto.html (simple how to) /docs/config/cluster.html (reference documentation) --> <!-- <Cluster className="org.apache.catalina.ha.tcp.SimpleTcpCluster"/> --> <!-- The request dumper valve dumps useful debugging information about the request and response data received and sent by Tomcat. Documentation at: /docs/config/valve.html --> <!-- <Valve className="org.apache.catalina.valves.RequestDumperValve"/> --> <!-- This Realm uses the UserDatabase configured in the global JNDI resources under the key "UserDatabase". Any edits that are performed against this UserDatabase are immediately available for use by the Realm. --> <Realm className="org.apache.catalina.realm.UserDatabaseRealm" resourceName="UserDatabase"/> <!-- Define the default virtual host Note: XML Schema validation will not work with Xerces 2.2. --> <Host name="localhost" appBase="webapps" unpackWARs="true" autoDeploy="true" xmlValidation="false" xmlNamespaceAware="false"> <!-- SingleSignOn valve, share authentication between web applications Documentation at: /docs/config/valve.html --> <!-- <Valve className="org.apache.catalina.authenticator.SingleSignOn" /> --> <!-- Access log processes all example. Documentation at: /docs/config/valve.html --> <!-- <Valve className="org.apache.catalina.valves.AccessLogValve" directory="logs" prefix="localhost_access_log." suffix=".txt" pattern="common" resolveHosts="false"/> --> </Host> </Engine> </Service> </Server> now here is the server.xml file from node2 <?xml version='1.0' encoding='utf-8'?> <!-- Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements. See the NOTICE file distributed with this work for additional information regarding copyright ownership. The ASF licenses this file to You under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. --> <!-- Note: A "Server" is not itself a "Container", so you may not define subcomponents such as "Valves" at this level. Documentation at /docs/config/server.html --> <Server port="8105" shutdown="SHUTDOWN"> <!--APR library loader. Documentation at /docs/apr.html --> <Listener className="org.apache.catalina.core.AprLifecycleListener" SSLEngine="on" /> <!--Initialize Jasper prior to webapps are loaded. Documentation at /docs/jasper-howto.html --> <Listener className="org.apache.catalina.core.JasperListener" /> <!-- Prevent memory leaks due to use of particular java/javax APIs--> <Listener className="org.apache.catalina.core.JreMemoryLeakPreventionListener" /> <!-- JMX Support for the Tomcat server. Documentation at /docs/non-existent.html --> <Listener className="org.apache.catalina.mbeans.ServerLifecycleListener" /> <Listener className="org.apache.catalina.mbeans.GlobalResourcesLifecycleListener" /> <!-- Global JNDI resources Documentation at /docs/jndi-resources-howto.html --> <GlobalNamingResources> <!-- Editable user database that can also be used by UserDatabaseRealm to authenticate users --> <Resource name="UserDatabase" auth="Container" type="org.apache.catalina.UserDatabase" description="User database that can be updated and saved" factory="org.apache.catalina.users.MemoryUserDatabaseFactory" pathname="conf/tomcat-users.xml" /> </GlobalNamingResources> <!-- A "Service" is a collection of one or more "Connectors" that share a single "Container" Note: A "Service" is not itself a "Container", so you may not define subcomponents such as "Valves" at this level. Documentation at /docs/config/service.html --> <Service name="Catalina"> <!--The connectors can use a shared executor, you can define one or more named thread pools--> <!-- <Executor name="tomcatThreadPool" namePrefix="catalina-exec-" maxThreads="150" minSpareThreads="4"/> --> <!-- A "Connector" represents an endpoint by which requests are received and responses are returned. Documentation at : Java HTTP Connector: /docs/config/http.html (blocking & non-blocking) Java AJP Connector: /docs/config/ajp.html APR (HTTP/AJP) Connector: /docs/apr.html Define a non-SSL HTTP/1.1 Connector on port 8080 <Connector port="8080" protocol="HTTP/1.1" connectionTimeout="20000" redirectPort="8443" /> --> <!-- A "Connector" using the shared thread pool--> <!-- <Connector executor="tomcatThreadPool" port="8080" protocol="HTTP/1.1" connectionTimeout="20000" redirectPort="8443" /> --> <!-- Define a SSL HTTP/1.1 Connector on port 8443 This connector uses the JSSE configuration, when using APR, the connector should be using the OpenSSL style configuration described in the APR documentation --> <!-- <Connector port="8443" protocol="HTTP/1.1" SSLEnabled="true" maxThreads="150" scheme="https" secure="true" clientAuth="false" sslProtocol="TLS" /> --> <!-- Define an AJP 1.3 Connector on port 8009 --> <Connector port="8109" protocol="AJP/1.3" redirectPort="8443" /> <!-- An Engine represents the entry point (within Catalina) that processes every request. The Engine implementation for Tomcat stand alone analyzes the HTTP headers included with the request, and passes them on to the appropriate Host (virtual host). Documentation at /docs/config/engine.html --> <!-- You should set jvmRoute to support load-balancing via AJP ie : <Engine name="Catalina" defaultHost="localhost" jvmRoute="jvm1"> --> <Engine name="Catalina" defaultHost="localhost" jvmRoute="node2"> <!--For clustering, please take a look at documentation at: /docs/cluster-howto.html (simple how to) /docs/config/cluster.html (reference documentation) --> <!-- <Cluster className="org.apache.catalina.ha.tcp.SimpleTcpCluster"/> --> <!-- The request dumper valve dumps useful debugging information about the request and response data received and sent by Tomcat. Documentation at: /docs/config/valve.html --> <!-- <Valve className="org.apache.catalina.valves.RequestDumperValve"/> --> <!-- This Realm uses the UserDatabase configured in the global JNDI resources under the key "UserDatabase". Any edits that are performed against this UserDatabase are immediately available for use by the Realm. --> <Realm className="org.apache.catalina.realm.UserDatabaseRealm" resourceName="UserDatabase"/> <!-- Define the default virtual host Note: XML Schema validation will not work with Xerces 2.2. --> <Host name="localhost" appBase="webapps" unpackWARs="true" autoDeploy="true" xmlValidation="false" xmlNamespaceAware="false"> <!-- SingleSignOn valve, share authentication between web applications Documentation at: /docs/config/valve.html --> <!-- <Valve className="org.apache.catalina.authenticator.SingleSignOn" /> --> <!-- Access log processes all example. Documentation at: /docs/config/valve.html --> <!-- <Valve className="org.apache.catalina.valves.AccessLogValve" directory="logs" prefix="localhost_access_log." suffix=".txt" pattern="common" resolveHosts="false"/> --> </Host> </Engine> </Service> </Server> I dont know what it is. but I been trying for days

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  • SQL SERVER – Disable Clustered Index and Data Insert

    - by pinaldave
    Earlier today I received following email. “Dear Pinal, [Removed unrelated content] We looked at your script and found out that in your script of disabling indexes, you have only included non-clustered index during the bulk insert and missed to disabled all the clustered index. Our DBA[name removed] has changed your script a bit and included all the clustered indexes. Since our application is not working. When DBA [name removed] tried to enable clustered indexes again he is facing error incorrect syntax error. We are in deep problem [word replaced] [Removed Identity of organization and few unrelated stuff ]“ I have replied to my client and helped them fixed the problem. What really came to my attention is the concept of disabling clustered index. Let us try to learn a lesson from this experience. In this case, there was no need to disable clustered index at all. I had done necessary work when I was called in to work on tuning project. I had removed unused indexes, created few optimal indexes and wrote a script to disable few selected high cost indexes when bulk insert (and similar) operations are performed. There was another script which rebuild all the indexes as well. The solution worked till they included clustered index in disabling the script. Clustered indexes are in fact original table (or heap) physically ordered (any more things – not scope of this article) according to one or more keys(columns). When clustered index is disabled data rows of the disabled clustered index cannot be accessed. This means there will be no insert possible. When non clustered indexes are disabled all the data related to physically deleted but the definition of the index is kept in the system. Due to the same reason even reorganization of the index is not possible till the clustered index (which was disabled) is rebuild. Now let us come to the second part of the question, regarding receiving the error when clustered index is ‘enabled’. This is very common question I receive on the blog. (The following statement is written keeping the syntax of T-SQL in mind) Clustered indexes can be disabled but can not be enabled, they have to rebuild. It is intuitive to think that something which we have ‘disabled’ can be ‘enabled’ but the syntax for the same is ‘rebuild’. This issue has been explained here: SQL SERVER – How to Enable Index – How to Disable Index – Incorrect syntax near ‘ENABLE’. Let us go over this example where inserting the data is not possible when clustered index is disabled. USE AdventureWorks GO -- Create Table CREATE TABLE [dbo].[TableName]( [ID] [int] NOT NULL, [FirstCol] [varchar](50) NULL, CONSTRAINT [PK_TableName] PRIMARY KEY CLUSTERED ([ID] ASC) ) GO -- Create Nonclustered Index CREATE UNIQUE NONCLUSTERED INDEX [IX_NonClustered_TableName] ON [dbo].[TableName] ([FirstCol] ASC) GO -- Populate Table INSERT INTO [dbo].[TableName] SELECT 1, 'First' UNION ALL SELECT 2, 'Second' UNION ALL SELECT 3, 'Third' GO -- Disable Nonclustered Index ALTER INDEX [IX_NonClustered_TableName] ON [dbo].[TableName] DISABLE GO -- Insert Data should work fine INSERT INTO [dbo].[TableName] SELECT 4, 'Fourth' UNION ALL SELECT 5, 'Fifth' GO -- Disable Clustered Index ALTER INDEX [PK_TableName] ON [dbo].[TableName] DISABLE GO -- Insert Data will fail INSERT INTO [dbo].[TableName] SELECT 6, 'Sixth' UNION ALL SELECT 7, 'Seventh' GO /* Error: Msg 8655, Level 16, State 1, Line 1 The query processor is unable to produce a plan because the index 'PK_TableName' on table or view 'TableName' is disabled. */ -- Reorganizing Index will also throw an error ALTER INDEX [PK_TableName] ON [dbo].[TableName] REORGANIZE GO /* Error: Msg 1973, Level 16, State 1, Line 1 Cannot perform the specified operation on disabled index 'PK_TableName' on table 'dbo.TableName'. */ -- Rebuliding should work fine ALTER INDEX [PK_TableName] ON [dbo].[TableName] REBUILD GO -- Insert Data should work fine INSERT INTO [dbo].[TableName] SELECT 6, 'Sixth' UNION ALL SELECT 7, 'Seventh' GO -- Clean Up DROP TABLE [dbo].[TableName] GO I hope this example is clear enough. There were few additional posts I had written years ago, I am listing them here. SQL SERVER – Enable and Disable Index Non Clustered Indexes Using T-SQL SQL SERVER – Enabling Clustered and Non-Clustered Indexes – Interesting Fact Reference : Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, SQL, SQL Authority, SQL Constraint and Keys, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • SQL SERVER – History of SQL Server Database Encryption

    - by pinaldave
    I recently met Michael Coles and Rodeney Landrum the author of one of the kind book Expert SQL Server 2008 Encryption at SQLPASS in Seattle. During the conversation we ended up how Microsoft is evolving encryption technology. The same discussion lead to talking about history of encryption tools in SQL Server. Michale pointed me to page 18 of his book of encryption. He explicitly give me permission to re-produce relevant part of history from his book. Encryption in SQL Server 2000 Built-in cryptographic encryption functionality was nonexistent in SQL Server 2000 and prior versions. In order to get server-side encryption in SQL Server you had to resort to purchasing or creating your own SQL Server XPs. Creating your own cryptographic XPs could be a daunting task owing to the fact that XPs had to be compiled as native DLLs (using a language like C or C++) and the XP application programming interface (API) was poorly documented. In addition there were always concerns around creating wellbehaved XPs that “played nicely” with the SQL Server process. Encryption in SQL Server 2005 Prior to the release of SQL Server 2005 there was a flurry of regulatory activity in response to accounting scandals and attacks on repositories of confidential consumer data. Much of this regulation centered onthe need for protecting and controlling access to sensitive financial and consumer information. With the release of SQL Server 2005 Microsoft responded to the increasing demand for built-in encryption byproviding the necessary tools to encrypt data at the column level. This functionality prominently featured the following: Support for column-level encryption of data using symmetric keys or passphrases. Built-in access to a variety of symmetric and asymmetric encryption algorithms, including AES, DES, Triple DES, RC2, RC4, and RSA. Capability to create and manage symmetric keys. Key creation and management. Ability to generate asymmetric keys and self-signed certificates, or to install external asymmetric keys and certificates. Implementation of hierarchical model for encryption key management, similar to the ANSI X9.17 standard model. SQL functions to generate one-way hash codes and digital signatures, including SHA-1 and MD5 hashes. Additional SQL functions to encrypt and decrypt data. Extensions to the SQL language to support creation, use, and administration of encryption keys and certificates. SQL CLR extensions that provide access to .NET-based encryption functionality. Encryption in SQL Server 2008 Encryption demands have increased over the past few years. For instance, there has been a demand for the ability to store encryption keys “off-the-box,” physically separate from the database and the data it contains. Also there is a recognized requirement for legacy databases and applications to take advantage of encryption without changing the existing code base. To address these needs SQL Server 2008 adds the following features to its encryption arsenal: Transparent Data Encryption (TDE): Allows you to encrypt an entire database, including log files and the tempdb database, in such a way that it is transparent to client applications. Extensible Key Management (EKM): Allows you to store and manage your encryption keys on an external device known as a hardware security module (HSM). Cryptographic random number generation functionality. Additional cryptography-related catalog views and dynamic management views. SQL language extensions to support the new encryption functionality. The encryption book covers all the tools in its various chapter in one simple story. If you are interested how encryption evolved and reached to the stage where it is today, this book is must for everyone. You can read my earlier review of the book over here. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQLAuthority Book Review, SQLAuthority News, T SQL, Technology Tagged: Encryption, SQL Server Encryption, SQLPASS

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  • Oracle Announces Oracle Exadata X3 Database In-Memory Machine

    - by jgelhaus
    Fourth Generation Exadata X3 Systems are Ideal for High-End OLTP, Large Data Warehouses, and Database Clouds; Eighth-Rack Configuration Offers New Low-Cost Entry Point ORACLE OPENWORLD, SAN FRANCISCO – October 1, 2012 News Facts During his opening keynote address at Oracle OpenWorld, Oracle CEO, Larry Ellison announced the Oracle Exadata X3 Database In-Memory Machine - the latest generation of its Oracle Exadata Database Machines. The Oracle Exadata X3 Database In-Memory Machine is a key component of the Oracle Cloud. Oracle Exadata X3-2 Database In-Memory Machine and Oracle Exadata X3-8 Database In-Memory Machine can store up to hundreds of Terabytes of compressed user data in Flash and RAM memory, virtually eliminating the performance overhead of reads and writes to slow disk drives, making Exadata X3 systems the ideal database platforms for the varied and unpredictable workloads of cloud computing. In order to realize the highest performance at the lowest cost, the Oracle Exadata X3 Database In-Memory Machine implements a mass memory hierarchy that automatically moves all active data into Flash and RAM memory, while keeping less active data on low-cost disks. With a new Eighth-Rack configuration, the Oracle Exadata X3-2 Database In-Memory Machine delivers a cost-effective entry point for smaller workloads, testing, development and disaster recovery systems, and is a fully redundant system that can be used with mission critical applications. Next-Generation Technologies Deliver Dramatic Performance Improvements Oracle Exadata X3 Database In-Memory Machines use a combination of scale-out servers and storage, InfiniBand networking, smart storage, PCI Flash, smart memory caching, and Hybrid Columnar Compression to deliver extreme performance and availability for all Oracle Database Workloads. Oracle Exadata X3 Database In-Memory Machine systems leverage next-generation technologies to deliver significant performance enhancements, including: Four times the Flash memory capacity of the previous generation; with up to 40 percent faster response times and 100 GB/second data scan rates. Combined with Exadata’s unique Hybrid Columnar Compression capabilities, hundreds of Terabytes of user data can now be managed entirely within Flash; 20 times more capacity for database writes through updated Exadata Smart Flash Cache software. The new Exadata Smart Flash Cache software also runs on previous generation Exadata systems, increasing their capacity for writes tenfold; 33 percent more database CPU cores in the Oracle Exadata X3-2 Database In-Memory Machine, using the latest 8-core Intel® Xeon E5-2600 series of processors; Expanded 10Gb Ethernet connectivity to the data center in the Oracle Exadata X3-2 provides 40 10Gb network ports per rack for connecting users and moving data; Up to 30 percent reduction in power and cooling. Configured for Your Business, Available Today Oracle Exadata X3-2 Database In-Memory Machine systems are available in a Full-Rack, Half-Rack, Quarter-Rack, and the new low-cost Eighth-Rack configuration to satisfy the widest range of applications. Oracle Exadata X3-8 Database In-Memory Machine systems are available in a Full-Rack configuration, and both X3 systems enable multi-rack configurations for virtually unlimited scalability. Oracle Exadata X3-2 and X3-8 Database In-Memory Machines are fully compatible with prior Exadata generations and existing systems can also be upgraded with Oracle Exadata X3-2 servers. Oracle Exadata X3 Database In-Memory Machine systems can be used immediately with any application certified with Oracle Database 11g R2 and Oracle Real Application Clusters, including SAP, Oracle Fusion Applications, Oracle’s PeopleSoft, Oracle’s Siebel CRM, the Oracle E-Business Suite, and thousands of other applications. Supporting Quotes “Forward-looking enterprises are moving towards Cloud Computing architectures,” said Andrew Mendelsohn, senior vice president, Oracle Database Server Technologies. “Oracle Exadata’s unique ability to run any database application on a fully scale-out architecture using a combination of massive memory for extreme performance and low-cost disk for high capacity delivers the ideal solution for Cloud-based database deployments today.” Supporting Resources Oracle Press Release Oracle Exadata Database Machine Oracle Exadata X3-2 Database In-Memory Machine Oracle Exadata X3-8 Database In-Memory Machine Oracle Database 11g Follow Oracle Database via Blog, Facebook and Twitter Oracle OpenWorld 2012 Oracle OpenWorld 2012 Keynotes Like Oracle OpenWorld on Facebook Follow Oracle OpenWorld on Twitter Oracle OpenWorld Blog Oracle OpenWorld on LinkedIn Mark Hurd's keynote with Andy Mendelsohn and Juan Loaiza - - watch for the replay to be available soon at http://www.youtube.com/user/Oracle or http://www.oracle.com/openworld/live/on-demand/index.html

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  • Automating XNA Performance Testing?

    - by Grofit
    I was wondering what peoples approaches or thoughts were on automating performance testing in XNA. Currently I am looking at only working in 2d, but that poses many areas where performance can be improved with different implementations. An example would be if you had 2 different implementations of spatial partitioning, one may be faster than another but without doing some actual performance testing you wouldn't be able to tell which one for sure (unless you saw the code was blatantly slow in certain parts). You could write a unit test which for a given time frame kept adding/updating/removing entities for both implementations and see how many were made in each timeframe and the higher one would be the faster one (in this given example). Another higher level example would be if you wanted to see how many entities you can have on the screen roughly without going beneath 60fps. The problem with this is to automate it you would need to use the hidden form trick or some other thing to kick off a mock game and purely test which parts you care about and disable everything else. I know that this isnt a simple affair really as even if you can automate the tests, really it is up to a human to interpret if the results are performant enough, but as part of a build step you could have it run these tests and publish the results somewhere for comparison. This way if you go from version 1.1 to 1.2 but have changed a few underlying algorithms you may notice that generally the performance score would have gone up, meaning you have improved your overall performance of the application, and then from 1.2 to 1.3 you may notice that you have then dropped overall performance a bit. So has anyone automated this sort of thing in their projects, and if so how do you measure your performance comparisons at a high level and what frameworks do you use to test? As providing you have written your code so its testable/mockable for most parts you can just use your tests as a mechanism for getting some performance results... === Edit === Just for clarity, I am more interested in the best way to make use of automated tests within XNA to track your performance, not play testing or guessing by manually running your game on a machine. This is completely different to seeing if your game is playable on X hardware, it is more about tracking the change in performance as your game engine/framework changes. As mentioned in one of the comments you could easily test "how many nodes can I insert/remove/update within QuadTreeA within 2 seconds", but you have to physically look at these results every time to see if it has changed, which may be fine and is still better than just relying on playing it to see if you notice any difference between version. However if you were to put an Assert in to notify you of a fail if it goes lower than lets say 5000 in 2 seconds you have a brittle test as it is then contextual to the hardware, not just the implementation. Although that being said these sort of automated tests are only really any use if you are running your tests as some sort of build pipeline i.e: Checkout - Run Unit Tests - Run Integration Tests - Run Performance Tests - Package So then you can easily compare the stats from one build to another on the CI server as a report of some sort, and again this may not mean much to anyone if you are not used to Continuous Integration. The main crux of this question is to see how people manage this between builds and how they find it best to report upon. As I said it can be subjective but as knowledge will be gained from the answers it seems a worthwhile question.

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  • SQL SERVER – SOS_SCHEDULER_YIELD – Wait Type – Day 8 of 28

    - by pinaldave
    This is a very interesting wait type and quite often seen as one of the top wait types. Let us discuss this today. From Book On-Line: Occurs when a task voluntarily yields the scheduler for other tasks to execute. During this wait the task is waiting for its quantum to be renewed. SOS_SCHEDULER_YIELD Explanation: SQL Server has multiple threads, and the basic working methodology for SQL Server is that SQL Server does not let any “runnable” thread to starve. Now let us assume SQL Server OS is very busy running threads on all the scheduler. There are always new threads coming up which are ready to run (in other words, runnable). Thread management of the SQL Server is decided by SQL Server and not the operating system. SQL Server runs on non-preemptive mode most of the time, meaning the threads are co-operative and can let other threads to run from time to time by yielding itself. When any thread yields itself for another thread, it creates this wait. If there are more threads, it clearly indicates that the CPU is under pressure. You can fun the following DMV to see how many runnable task counts there are in your system. SELECT scheduler_id, current_tasks_count, runnable_tasks_count, work_queue_count, pending_disk_io_count FROM sys.dm_os_schedulers WHERE scheduler_id < 255 GO If you notice a two-digit number in runnable_tasks_count continuously for long time (not once in a while), you will know that there is CPU pressure. The two-digit number is usually considered as a bad thing; you can read the description of the above DMV over here. Additionally, there are several other counters (%Processor Time and other processor related counters), through which you can refer to so you can validate CPU pressure along with the method explained above. Reducing SOS_SCHEDULER_YIELD wait: This is the trickiest part of this procedure. As discussed, this particular wait type relates to CPU pressure. Increasing more CPU is the solution in simple terms; however, it is not easy to implement this solution. There are other things that you can consider when this wait type is very high. Here is the query where you can find the most expensive query related to CPU from the cache Note: The query that used lots of resources but is not cached will not be caught here. SELECT SUBSTRING(qt.TEXT, (qs.statement_start_offset/2)+1, ((CASE qs.statement_end_offset WHEN -1 THEN DATALENGTH(qt.TEXT) ELSE qs.statement_end_offset END - qs.statement_start_offset)/2)+1), qs.execution_count, qs.total_logical_reads, qs.last_logical_reads, qs.total_logical_writes, qs.last_logical_writes, qs.total_worker_time, qs.last_worker_time, qs.total_elapsed_time/1000000 total_elapsed_time_in_S, qs.last_elapsed_time/1000000 last_elapsed_time_in_S, qs.last_execution_time, qp.query_plan FROM sys.dm_exec_query_stats qs CROSS APPLY sys.dm_exec_sql_text(qs.sql_handle) qt CROSS APPLY sys.dm_exec_query_plan(qs.plan_handle) qp ORDER BY qs.total_worker_time DESC -- CPU time You can find the most expensive queries that are utilizing lots of CPU (from the cache) and you can tune them accordingly. Moreover, you can find the longest running query and attempt to tune them if there is any processor offending code. Additionally, pay attention to total_worker_time because if that is also consistently higher, then  the CPU under too much pressure. You can also check perfmon counters of compilations as they tend to use good amount of CPU. Index rebuild is also a CPU intensive process but we should consider that main cause for this query because that is indeed needed on high transactions OLTP system utilized to reduce fragmentations. Note: The information presented here is from my experience and there is no way that I claim it to be accurate. I suggest reading Book OnLine for further clarification. All of the discussions of Wait Stats in this blog is generic and varies from system to system. It is recommended that you test this on a development server before implementing it to a production server. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, SQL Wait Stats, SQL Wait Types, T SQL, Technology

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  • Clean Code: A Handbook of Agile Software Craftsmanship – book review

    - by DigiMortal
       Writing code that is easy read and test is not something that is easy to achieve. Unfortunately there are still way too much programming students who write awful spaghetti after graduating. But there is one really good book that helps you raise your code to new level – your code will be also communication tool for you and your fellow programmers. “Clean Code: A Handbook of Agile Software Craftsmanship” by Robert C. Martin is excellent book that helps you start writing the easily readable code. Of course, you are the one who has to learn and practice but using this book you have very good guide that keeps you going to right direction. You can start writing better code while you read this book and you can do it right in your current projects – you don’t have to create new guestbook or some other simple application to start practicing. Take the project you are working on and start making it better! My special thanks to Robert C. Martin I want to say my special thanks to Robert C. Martin for this book. There are many books that teach you different stuff and usually you have markable learning curve to go before you start getting results. There are many books that show you the direction to go and then leave you alone figuring out how to achieve all that stuff you just read about. Clean Code gives you a lot more – the mental tools to use so you can go your way to clean code being sure you will be soon there. I am reading books as much as I have time for it. Clean Code is top-level book for developers who have to write working code. Before anything else take Clean Code and read it. You will never regret your decision. I promise. Fragment of editorial review “Even bad code can function. But if code isn’t clean, it can bring a development organization to its knees. Every year, countless hours and significant resources are lost because of poorly written code. But it doesn’t have to be that way. What kind of work will you be doing? You’ll be reading code—lots of code. And you will be challenged to think about what’s right about that code, and what’s wrong with it. More importantly, you will be challenged to reassess your professional values and your commitment to your craft. Readers will come away from this book understanding How to tell the difference between good and bad code How to write good code and how to transform bad code into good code How to create good names, good functions, good objects, and good classes How to format code for maximum readability How to implement complete error handling without obscuring code logic How to unit test and practice test-driven development This book is a must for any developer, software engineer, project manager, team lead, or systems analyst with an interest in producing better code.” Table of contents Clean code Meaningful names Functions Comments Formatting Objects and data structures Error handling Boundaries Unit tests Classes Systems Emergence Concurrency Successive refinement JUnit internals Refactoring SerialDate Smells and heuristics A Concurrency II org.jfree.date.SerialDate Cross references of heuristics Epilogue Index

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  • Big Data – Buzz Words: What is MapReduce – Day 7 of 21

    - by Pinal Dave
    In yesterday’s blog post we learned what is Hadoop. In this article we will take a quick look at one of the four most important buzz words which goes around Big Data – MapReduce. What is MapReduce? MapReduce was designed by Google as a programming model for processing large data sets with a parallel, distributed algorithm on a cluster. Though, MapReduce was originally Google proprietary technology, it has been quite a generalized term in the recent time. MapReduce comprises a Map() and Reduce() procedures. Procedure Map() performance filtering and sorting operation on data where as procedure Reduce() performs a summary operation of the data. This model is based on modified concepts of the map and reduce functions commonly available in functional programing. The library where procedure Map() and Reduce() belongs is written in many different languages. The most popular free implementation of MapReduce is Apache Hadoop which we will explore tomorrow. Advantages of MapReduce Procedures The MapReduce Framework usually contains distributed servers and it runs various tasks in parallel to each other. There are various components which manages the communications between various nodes of the data and provides the high availability and fault tolerance. Programs written in MapReduce functional styles are automatically parallelized and executed on commodity machines. The MapReduce Framework takes care of the details of partitioning the data and executing the processes on distributed server on run time. During this process if there is any disaster the framework provides high availability and other available modes take care of the responsibility of the failed node. As you can clearly see more this entire MapReduce Frameworks provides much more than just Map() and Reduce() procedures; it provides scalability and fault tolerance as well. A typical implementation of the MapReduce Framework processes many petabytes of data and thousands of the processing machines. How do MapReduce Framework Works? A typical MapReduce Framework contains petabytes of the data and thousands of the nodes. Here is the basic explanation of the MapReduce Procedures which uses this massive commodity of the servers. Map() Procedure There is always a master node in this infrastructure which takes an input. Right after taking input master node divides it into smaller sub-inputs or sub-problems. These sub-problems are distributed to worker nodes. A worker node later processes them and does necessary analysis. Once the worker node completes the process with this sub-problem it returns it back to master node. Reduce() Procedure All the worker nodes return the answer to the sub-problem assigned to them to master node. The master node collects the answer and once again aggregate that in the form of the answer to the original big problem which was assigned master node. The MapReduce Framework does the above Map () and Reduce () procedure in the parallel and independent to each other. All the Map() procedures can run parallel to each other and once each worker node had completed their task they can send it back to master code to compile it with a single answer. This particular procedure can be very effective when it is implemented on a very large amount of data (Big Data). The MapReduce Framework has five different steps: Preparing Map() Input Executing User Provided Map() Code Shuffle Map Output to Reduce Processor Executing User Provided Reduce Code Producing the Final Output Here is the Dataflow of MapReduce Framework: Input Reader Map Function Partition Function Compare Function Reduce Function Output Writer In a future blog post of this 31 day series we will explore various components of MapReduce in Detail. MapReduce in a Single Statement MapReduce is equivalent to SELECT and GROUP BY of a relational database for a very large database. Tomorrow In tomorrow’s blog post we will discuss Buzz Word – HDFS. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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  • Romanian parter Omnilogic Delivers “No Limits” Scalability, Performance, Security, and Affordability through Next-Generation, Enterprise-Grade Engineered Systems

    - by swalker
    Omnilogic SRL is a leading technology and information systems provider in Romania and central and Eastern Europe. An Oracle Value-Added Distributor Partner, Omnilogic resells Oracle software, hardware, and engineered systems to Oracle Partner Network members and provides specialized training, support, and testing facilities. Independent software vendors (ISVs) also use Omnilogic’s demonstration and testing facilities to upgrade the performance and efficiency of their solutions and those of their customers by migrating them from competitor technologies to Oracle platforms. Omnilogic also has a dedicated offering for ISV solutions, based on Oracle technology in a hosting service provider model. Omnilogic wanted to help Oracle Partners and ISVs migrate solutions to Oracle Exadata and sell Oracle Exadata to end-customers. It installed Oracle Exadata Database Machine X2-2 Quarter Rack at its data center to create a demonstration and testing environment. Demonstrations proved that Oracle Exadata achieved processing speeds up to 100 times faster than competitor systems, cut typical back-up times from 6 hours to 20 minutes, and stored 10 times more data. Oracle Partners and ISVs learned that migrating solutions to Oracle Exadata’s preconfigured, pre-integrated hardware and software can be completed rapidly, at low cost, without business disruption, and with reduced ongoing operating costs. Challenges A word from Omnilogic “Oracle Exadata is the new killer application—the smartest solution on the market. There is no competition.” – Sorin Dragomir, Chief Operating Officer, Omnilogic SRL Enable Oracle Partners in Romania and central and eastern Europe to achieve Oracle Exadata Ready status by providing facilities to test and optimize existing applications and build real-life proofs of concept (POCs) for new solutions on Oracle Exadata Database Machine Provide technical support and demonstration facilities for ISVs migrating their customers’ solutions from competitor technologies to Oracle Exadata to maximize performance, scalability, and security; optimize hardware and datacenter space; cut maintenance costs; and improve return on investment Demonstrate power of Oracle Exadata’s high-performance, high-capacity engineered systems for customer-facing businesses, such as government organizations, telecommunications, banking and insurance, and utility companies, which typically require continuous availability to support very large data volumes Showcase Oracle Exadata’s unchallenged online transaction processing (OLTP) capabilities that cut application run times to provide unrivalled query turnaround and user response speeds while significantly reducing back-up times and eliminating risk of unplanned outages Capitalize on providing a world-class training and demonstration environment for Oracle Exadata to accelerate sales with Oracle Partners Solutions Created a testing environment to enable Oracle Partners and ISVs to test their own solutions and those of their customers on Oracle Exadata running on Oracle Enterprise Linux or Oracle Solaris Express to benchmark performance prior to migration Leveraged expertise on Oracle Exadata to offer Oracle Exadata training, migration, support seminars and to showcase live demonstrations for Oracle Partners Proved how Oracle Exadata’s pre-engineered systems, that come assembled, configured, and ready to run, reduce deployment time and cost, minimize risk, and help customers achieve the full performance potential immediately after go live Increased processing speeds 10-fold and with zero data loss for a telecommunications provider’s client-facing customer relationship management solution Achieved performance improvements of between 6 and 100 times faster for financial and utility company applications currently running on IBM, Microsoft, or SAP HANA platforms Showed how daily closure procedures carried out overnight by banks, insurance companies, and other financial institutions to analyze each day’s business, can typically be cut from around six hours to 20 minutes, some 18 times faster, when running on Oracle Exadata Simulated concurrent back-ups while running applications under normal working conditions to prove that Oracle Exadata-based solutions can be backed up during business hours without causing bottlenecks or impacting the end-user experience Demonstrated that Oracle Exadata’s built-in analytics, data mining and OLTP capabilities make it the highest-performance, lowest-cost choice for large data warehousing operations Showed how Oracle Exadata’s columnar compression and intelligent storage architecture allows 10 times more data to be stored than on competitor platforms Demonstrated how Oracle Exadata cuts hardware requirements significantly by consolidating workloads on to fewer servers which delivers greater power efficiency and lower operating costs that competing systems from IBM and other manufacturers Proved to ISVs that migrating solutions to Oracle Exadata’s preconfigured, pre-integrated hardware and software can be completed rapidly, at low cost, and with minimal business disruption Demonstrated how storage servers, database servers, and network switches can be added incrementally and inexpensively to the Oracle Exadata platform to support business expansion On track to grow revenues by 10% in year one and by 15% annually thereafter through increased business generated from Oracle Partners and ISVs

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  • Spending the summer at camp… Web Camp, that is

    - by Jon Galloway
    Microsoft is sponsoring a series of Web Camps this summer. They’re a series of free two day events being held worldwide, and I’m really excited about being taking part. The camp is targeted at a broad range of developer background and experience. Content builds from 101 level introductory material to 200-300 level coverage, but we hit some advanced bits (e.g. MVC 2 features, jQuery templating, IIS 7 features, etc.) that advanced developers may not yet have seen. We start with a lap around ASP.NET & Web Forms, then move on to building and application with ASP.NET MVC 2, jQuery, and Entity Framework 4, and finally deploy to IIS. I got to spend some time working with James before the first Web Camp refining the content, and I think he’s packed about as much goodness into the time available as is scientifically possible. The content is really code focused – we start with File/New Project and spend the day building a real, working application. The second day of the Web Camp provides attendees an opportunity to get hands on. There are two options: Join a team and build an application of your choice Work on a lab or tutorial James Senior and I kicked off the fun with the first Web Camp in Toronto a few weeks ago. It was sold out, lots of fun, and by all accounts a great way to spend two days. I’m really enthusiastic about the format. Rather than just listening to speakers and then forgetting everything in a few days, attendees actually build something of their choice. They get an opportunity to pitch projects they’re interested in, form teams, and build it – getting experience with “real world” problems, with all the help they need from experienced developers. James got help on the second day practical part from the good folks that run Startup Weekend. Startup Weekend is a fantastic program that gathers developers together to build cool apps in a weekend, so their input on how to organize successful teams for weekend projects was invaluable. Nick Seguin joined us in Toronto, and in addition to making sure that everything flowed smoothly, he just added a lot of fun and excitement to the event, reminding us all about how much fun it is to come up with a cool idea and just build it. In addition to the Toronto camp, I’ll be at the Mountain View, London, Munich, and New York camps over the next month. London is sold out, but the rest still have space available, so come join us! Here’s the full list, with the ones I’ll be at bolded because - you know - it’s my blog. The the whole speaker list is great, including Scott Guthrie, Scott Hanselman, James Senior, Rachel Appel, Dan Wahlin, and Christian Wenz. Toronto May 7-8 (James Senior and I were thrown out on our collective ears) Moscow May 19 Beijing May 21-22 Shanghai May 24-25 Mountain View May 27-28 (I’m speaking with Rachel Appel) Sydney May 28-29 Singapore June 04-05 London June 04-05 (I’m speaking with Christian Wenz – SOLD OUT) Munich June 07-08 (I’m speaking with Christian Wenz) Chicago June 11-12 Redmond, WA June 18-19 New York June 25-26 (I’m speaking with Dan Wahlin) Come say hi!

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  • Silverlight Firestarter thoughts, and thanks to one and all!

    - by Dave Campbell
    A few metrics that of course got out of hand, but some may find interesting:   1/2 My share of the MVP of the Year award in February of 2009 with Laurent Bugnion 2 Number of degrees I hold: B.S., M.S. Electrical Engineering 3 Number of years in the U.S. Army 3.5 Number of years SilverlighCream has been posted 4 Number of times awarded MVP 6 Number of professional positions I've worked: Antenna Rigger, Boilermaker, Musician, Electronic Technician, Hardware Engineer, Software Engineer 16 Number of companies I've worked for during my career as an Engineer 19 Age at which I turned my first line of code 28 Age at which I hit the workforce as an Engineer 33 Number of years working as an Engineer 43 Number of years writing code 62 Number of years since instantiation 116 Number of tags to search SilverlightCream with 645 Number of blogs I view to find articles (at this moment) 664 Number of articles tagged wp7dev at SilverlightCream right now 700 Number of Twitter followers for WynApse 981 Number of individual bloggers in the SilverlightCream database 1002 Number of SilverlightCream blogposts 1100 Number of people live in Redmond for the Firestarter (I think) 1428 Number of total blogposts at GeeksWithBlogs (not counting this one) 4200 Number of Feedburner subscribers (approximately) 6500 Number of Twitter followers for SilverlightNews (approximately) 7087 Number of posts tagged and aggregated at SilverlightCream right now 13000 Number of people registered to watch the Firestarter online (I think) The overwhelming feeling I have returning from the Silverlight Firestarter: Priceless There is absolutely no way that I could personally thank everyone that over the last few years has held their hand out and offered me a step up to get to the point that Scott Guthrie called me out in his keynote. So I'm just going to hit the highlights here... Scott Guthrie Thanks for not only being the level you are at Microsoft, but for being so approachable, easy to talk to, willing to help everyone, and above all knowledgable. My first level manager at my last position asked if Visual Studio was a graphics program... and you step up to a laptop at a conference and type "File->New Program" ... 'nuff said... oh yeah, thanks for the shoutout! John Papa Thanks for being a good friend, ramroding the Firestarter, being a great guy to be around, and for the poster... holy crap is that cool. Tim Heuer Thanks for all you did as a great DE in Phoenix, and for helping out so many of us, of course being a great guy, and for the poster as well... I think you and John shared that task. In no order at all my buddy Michael Washington, Laurent Bugnion (the other half of the first Silverlight MVP of the Year) Tim Sneath, Mike Harsh, Chad Campbell and Bryant Likes (from back in the day), Adam Kinney, Jesse Liberty, Jeff Paries, Pete Brown, András Velvárt, David Kelly, Michael Palermo, Scott Cate, Erik Mork, and on and on... don't feel bad if your name didn't appear, I have simply too many supporters to name. Silverlight Firestarter Indeed All the people mentioned here, and all the MVPs knew Silverlight was NOT dead, but because of a very unfortunate circumstance, the popular media opinion became that. Consequently the Firestarter exploded from a laid-back event to a global conference. People worked their ass off getting bits ready and presentations using those bits. All to stem the flow of misinformation. All involved please accept my personal thanks for an absolutely awesome job. I had the priviledge of watching the 'prep' on Wednesday afternoon, and was blown away the first time I saw the 3D demo... and have been blown away every time I've seen it since. Not to mention all the other goodness in Silverlight 5. Yes I hit 1000 on my blog, but more importantly, all of you are blogging and using Silverlight, and Microsoft hit one completely out of the park... no... they knocked it out of the neighborhood with the Firestarter. It was amazing to be there for it, and it will be awesome to use the new bits as we get them. Keep reading, there's tons more to come with Silverlight and SilverlightCream following along behind. As usual, this old hacker is humbled to be allowed to play with all the cool kids... Thanks one and all for everything, and Stay in the 'Light

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  • List of Upcoming Appearances

    - by Chris Gardner
    Greetings. I know I have been in work sponsored hiding lately. We are working furiously on a beta project to secure a contract, and I can't really talk about it yet. Hopefully, the contracts will be soon signed. Not only will we then have money, but I can talk about all this really cool tech with which I have been playing. However, since the contract is not signed, I need to bring you people up to date with where I will be during the summer. Let's face it, you can't be a speaker / blogger without pandering to shameless self-promotion. First, I will, once again, be staffing the Hands-on-Labs at TechEd North America. Unfortunately, TechEd North America is already sold out for this year. However, if you're already going, drop by the labs and say Hi. Also, keep an eye on Twitter to track me throughout the event. Also, look for a post in a few hours with my specific picks for what content I'm looking forward to seeing this year. Immediately following TechEd North America, I will be flying into Knoxville to speak at CodeStock. I will be presenting my introduction and intermediate Xbox 360 development talks. There are a TON of great content at CodeStock this year, but there are only about 50 tickets left. After that whirlwind of work, things settle for awhile. That means I'm available to speak at your User Group, luncheon, bowling league, birthday party, anniversary, or bat mitzvah. Mid August brings us to That Conference. This one is going to be a blast. If you haven't heard of That Conference yet, you should really check it out. This will also be my introduction and intermediate Xbox 360 development talks. This is a new conference, and it looks like it will be a great one. Finally, we will turn our attention to DevLink. DevLink has the distinction of picking up my newest talk, Creating Stereoscopic 3D Graphics in XNA. On top of that, I'm giving an general Xbox 360 and Windows Phone 7 talk. DevLink has added an new "XNA and Kinect" track, so there will me a ton of great game content. That should bring us through the summer. As I solidify the Stereoscopic talk, look for some content on that to creep up on here. I will say it's the first topic I've played around with that is easier in 3D than 2D. Also, the organizers of Alabama Code Camp are still trying to reschedule the event. When that happens, I'll get that information out. Also, we are looking to expand our development team. If you are interested in working for / with me, keep an eye on the T & W Operations website. I know we're immediately looking for a junior level developer, but I think a few higher level position may come up soon. You MUST apply through the website, but drop me a personal line if you do apply. I'll keep an eye out for the application.

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  • Oracle Enterprise Manager 11g is Here!

    - by chung.wu
    We hope that you enjoyed the launch event. If you missed it, you may still watch it via our on demand webcast, which is being produced and will be posted very shortly. 11gR1 is a major release of Oracle Enterprise Manager, and as one would expect from a big release, there are many new capabilities that appeal to a broad set of audience. Before going into the laundry list of new features, let's talk about the key themes for this release to put things in perspective. First, this release is about Business Driven Application Management. The traditional paradigm of component centric systems management simply cannot satisfy the management needs of modern distributed applications, as they do not provide adequate visibility of whether these applications are truly meeting the service level expectations of the business users. Business Driven Application Management helps IT manage applications according to the needs of the business users so that valuable IT resources can be better focused to help deliver better business results. To support Business Driven Application Management, 11gR1 builds on the work that we started in 10g to provide better support for user experience management. This capability helps IT better understand how users use applications and the experience that the applications provide so that IT can take actions to help end users get their work done more effectively. In addition, this release also delivers improved business transaction management capabilities to make it faster and easier to understand and troubleshoot transaction problems that impact end user experience. Second, this release includes strengthened Integrated Application-to-Disk Management. Every component of an application environment, from the application logic to the application server, to database, host machines and storage devices, etc... can affect end user experience. After user experience improvement needs are identified, IT needs tools that can be used do deep dive diagnostics for each of the application environment component, analyze configurations and deploy changes. Enterprise Manager 11gR1 extends coverage of key application environment components to include full support for Oracle Database 11gR2, Exadata V2, and Fusion Middleware 11g. For composite and Java application management, two key pieces of technologies, JVM Diagnostic and Composite Application Monitoring and Modeler, are now fully integrated into Enterprise Manager so there is no need to install and maintain separate tools. In addition, we have delivered the first set of integration between Enterprise Manager Grid Control and Enterprise Manager Ops Center so that hardware level events can be centrally monitored via Grid Control. Finally, this release delivers Integrated Systems Management and Support for customers of Oracle technologies. Traditionally, systems management tools and tech support were separate silos. When problems occur, administrators used internally deployed tools to try to solve the problems themselves. If they couldn't fix the problems, then they would use some sort of support website to get help from the vendor's support staff. Oracle Enterprise Manager 11g integrates problem diagnostic and remediation workflow. Administrators can use Oracle Enterprise Manager's various diagnostic tools to begin the troubleshooting process. They can also use the integrated access to My Oracle Support to look up solutions and download software patches. If further help is needed, administrators can open service requests from right within Oracle Enterprise Manager and track status update. Oracle's support staff, using Enterprise Manager's configuration management capabilities, can collect important configuration information about customer environments in order to expedite problem resolution. This tight integration between Oracle Enterprise Manager and My Oracle Support helps Oracle customers achieve a Superior Ownership Experience for their Oracle products. So there you have it. This is a brief 50,000 feet overview of Oracle Enterprise Manager 11g. We know you are hungry for the details. We are going to write about it in the coming days and weeks. For those of you that absolutely can't wait to find out more, you may download our software to try it out today. In fact, for the first time ever, the initial release of Oracle Enterprise Manager is available for both 32 and 64 bit Linux. Additional O/S ports will arrive in the coming weeks. Please stay tuned on the Oracle Enterprise Manager blog for additional updates.

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  • Windows Azure Use Case: Web Applications

    - by BuckWoody
    This is one in a series of posts on when and where to use a distributed architecture design in your organization's computing needs. You can find the main post here: http://blogs.msdn.com/b/buckwoody/archive/2011/01/18/windows-azure-and-sql-azure-use-cases.aspx  Description: Many applications have a requirement to be located outside of the organization’s internal infrastructure control. For instance, the company website for a brick-and-mortar retail company may want to post not only static but interactive content to be available to their external customers, and not want the customers to have access inside the organization’s firewall. There are also cases of pure web applications used for a great many of the internal functions of the business. This allows for remote workers, shared customer/employee workloads and data and other advantages. Some firms choose to host these web servers internally, others choose to contract out the infrastructure to an “ASP” (Application Service Provider) or an Infrastructure as a Service (IaaS) company. In any case, the design of these applications often resembles the following: In this design, a server (or perhaps more than one) hosts the presentation function (http or https) access to the application, and this same system may hold the computational aspects of the program. Authorization and Access is controlled programmatically, or is more open if this is a customer-facing application. Storage is either placed on the same or other servers, hosted within an RDBMS or NoSQL database, or a combination of the options, all coded into the application. High-Availability within this scenario is often the responsibility of the architects of the application, and by purchasing more hosting resources which must be built, licensed and configured, and manually added as demand requires, although some IaaS providers have a partially automatic method to add nodes for scale-out, if the architecture of the application supports it. Disaster Recovery is the responsibility of the system architect as well. Implementation: In a Windows Azure Platform as a Service (PaaS) environment, many of these architectural considerations are designed into the system. The Azure “Fabric” (not to be confused with the Azure implementation of Application Fabric - more on that in a moment) is designed to provide scalability. Compute resources can be added and removed programmatically based on any number of factors. Balancers at the request-level of the Fabric automatically route http and https requests. The fabric also provides High-Availability for storage and other components. Disaster recovery is a shared responsibility between the facilities (which have the ability to restore in case of catastrophic failure) and your code, which should build in recovery. In a Windows Azure-based web application, you have the ability to separate out the various functions and components. Presentation can be coded for multiple platforms like smart phones, tablets and PC’s, while the computation can be a single entity shared between them. This makes the applications more resilient and more object-oriented, and lends itself to a SOA or Distributed Computing architecture. It is true that you could code up a similar set of functionality in a traditional web-farm, but the difference here is that the components are built into the very design of the architecture. The API’s and DLL’s you call in a Windows Azure code base contains components as first-class citizens. For instance, if you need storage, it is simply called within the application as an object.  Computation has multiple options and the ability to scale linearly. You also gain another component that you would either have to write or bolt-in to a typical web-farm: the Application Fabric. This Windows Azure component provides communication between applications or even to on-premise systems. It provides authorization in either person-based or claims-based perspectives. SQL Azure provides relational storage as another option, and can also be used or accessed from on-premise systems. It should be noted that you can use all or some of these components individually. Resources: Design Strategies for Scalable Active Server Applications - http://msdn.microsoft.com/en-us/library/ms972349.aspx  Physical Tiers and Deployment  - http://msdn.microsoft.com/en-us/library/ee658120.aspx

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