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  • Auto-generate Visual Studio Project Documentation with GhostDoc

    GhostDoc is a free Visual Studio extension that automates the process of writing code comments. Find out how you can use it to document your code automatically....Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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  • Költözik a blog

    - by lsarecz
    Kedves Olvasó! A közelmúltban elhatároztuk, hogy az Oracle Hungary jelenleg muködo magyar nyelvu blogjait összevonjuk, és egy közös blogba publikál az összes szakérto kolléga. Ezzel remélhetoleg egy gyakran frissülo, hasznos szakmai tartalommal felöltött online napló születik, ami az eddigi egyébként is nagyszeru blogjainkat is felülmúlja. Az új Oracle Hungary Technology Blog itt található: https://blogs.oracle.com/hunoratech/

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  • 25 Passwords to Avoid to Thwart Hackers

    SplashData, a vendor of smartphone productivity applications for consumers and businesses, recently released a list of the top 25 most commonly used passwords for 2011. The company compiled the list after analyzing files of stolen passwords that hackers posted online to share with their cybercriminal colleagues. Without further adieu, here is the list of passwords that made SplashData's top 25: password, 123456, 12345678, qwerty, abc123, monkey, 1234567, letmein, trustno1, dragon, baseball, 111111, iloveyou, master, sunshine, ashley, bailey, passw0rd, shadow, 123123, 654321, superman, qazwsx...

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  • REST API at backend and MVC Javascript framework at client side

    - by Prashere
    I am building an online social network. I have finished writing RESTful API service using Django. This will return only JSON response (No HTML will be generated from server side) so that this JSON response can be used to build native smartphone apps. API service being common to all clients. My question is, since there is no HTML response from server side, can the MV* Javascript Frameworks like Angular / Backbone / Ember take care of complete Front-end, right from generating HTML page with CSS?

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  • Content API for Shopping Office Hours - June 12, 2012

    Content API for Shopping Office Hours - June 12, 2012 Hangout discussing Product Listing Ads (PLAs) and the Google Affiliate Network (GAN) with guest Mark Coppin (GAN) and Claire Hugo (PLAs) of Google. In the Hangout, we reference the video "How to create a new Product Listing Ads campaign" (www.youtube.com which can be found in the Getting Starting page on the Shopping/Ads integration site (www.google.com Also, check out the GAN site to learn more: www.google.com From: GoogleDevelopers Views: 703 6 ratings Time: 31:23 More in Science & Technology

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  • What are the essential things one needs to know about UML?

    - by Hanno Fietz
    I want my scribbles of a program's design and behaviour to become more streamlined and have a common language with other developers. I looked at UML and in principle it seems to be what I'm looking for, but it seems to be overkill. The information I found online also seems very bloated and academic. How can I understand UML in plain-English way, enough to be able to explain it to my colleagues? What are the canonical resources for understanding UML at a ground level?

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  • Google Annotations Gallery

    The Google Annotations Gallery is an exciting new Java open source library that provides a rich set of annotations for developers to express themselves. Do you find the...

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  • Google I/O 2012 - For Butter or Worse: Smoothing Out Performance in Android UIs

    Google I/O 2012 - For Butter or Worse: Smoothing Out Performance in Android UIs Chet Haase, Romain Guy Great user experience requires buttery smoothness in rendering and animating your interface; your app must have a good, consistent frame rate. This session deep-dives into our work on the Android framework to find and fix performance issues, along with tips on how you can do the same for your applications. For all I/O 2012 sessions, go to developers.google.com From: GoogleDevelopers Views: 4804 116 ratings Time: 58:50 More in Science & Technology

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  • Webmarketing : Adobe complète sa solution d'optimisation de l'expérience client avec des modules pour les campagnes mobiles

    Adobe met à jour sa solution d'optimisation de l'expérience client Avec des modules pour les campagnes mobiles et l'intégration avec Adobe Online Marketing Suite Adobe annonce la disponibilité de sa nouvelle solution de gestion de l'expérience web (WEM : Web Experience Management), une avancée qualifié de « majeure » par l'éditeur pour sa plate-forme CEM (gestion de l'expérience client). WEM vise à optimiser la manière dont les entreprises créent des expériences multicanal au profit des ventes, des services et des interactions avec le client. La solution permet aux entreprises de tirer parti des derniers terminaux mobiles et des communautés « pour développer leur potenti...

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  • How to find out if my hosting's speed is good enough?

    - by Mert Nuhoglu
    There are lots of different online performance tests: Google PageSpeed Insights iWebTool Speed Test AlertFox Page Load Time WebPageTest Also there are several desktop/client software such as: ping tool YSlow Firebug's Net console Fiddler Http Watch I just want to decide if my hosting provider has a good enough performance or if I need to switch my hosting to another provider. So, which tool should I use to compare my hosting provider with other hosting providers?

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  • JDeveloper and ADF Satisfaction Survey - Need Your Input

    - by Shay Shmeltzer
    The JDeveloper & ADF team is looking to get feedback on your experience using JDeveloper and Oracle ADF. We developed a short online survey that will help us understand your usage patterns as well as locate the areas where we need to improve our product. Your input will be helping us help you. Please take 5 minutes to complete the survey - https://www.oraclesurveys.com/se.ashx?s=705E3EFC4861B8EF Thanks for helping, The JDeveloper team

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  • Inside BackgroundWorker

    - by João Angelo
    The BackgroundWorker is a reusable component that can be used in different contexts, but sometimes with unexpected results. If you are like me, you have mostly used background workers while doing Windows Forms development due to the flexibility they offer for running a background task. They support cancellation and give events that signal progress updates and task completion. When used in Windows Forms, these events (ProgressChanged and RunWorkerCompleted) get executed back on the UI thread where you can freely access your form controls. However, the logic of the progress changed and worker completed events being invoked in the thread that started the background worker is not something you get directly from the BackgroundWorker, but instead from the fact that you are running in the context of Windows Forms. Take the following example that illustrates the use of a worker in three different scenarios: – Console Application or Windows Service; – Windows Forms; – WPF. using System; using System.ComponentModel; using System.Threading; using System.Windows.Forms; using System.Windows.Threading; class Program { static AutoResetEvent Synch = new AutoResetEvent(false); static void Main() { var bw1 = new BackgroundWorker(); var bw2 = new BackgroundWorker(); var bw3 = new BackgroundWorker(); Console.WriteLine("DEFAULT"); var unspecializedThread = new Thread(() => { OutputCaller(1); SynchronizationContext.SetSynchronizationContext( new SynchronizationContext()); bw1.DoWork += (sender, e) => OutputWork(1); bw1.RunWorkerCompleted += (sender, e) => OutputCompleted(1); // Uses default SynchronizationContext bw1.RunWorkerAsync(); }); unspecializedThread.IsBackground = true; unspecializedThread.Start(); Synch.WaitOne(); Console.WriteLine(); Console.WriteLine("WINDOWS FORMS"); var windowsFormsThread = new Thread(() => { OutputCaller(2); SynchronizationContext.SetSynchronizationContext( new WindowsFormsSynchronizationContext()); bw2.DoWork += (sender, e) => OutputWork(2); bw2.RunWorkerCompleted += (sender, e) => OutputCompleted(2); // Uses WindowsFormsSynchronizationContext bw2.RunWorkerAsync(); Application.Run(); }); windowsFormsThread.IsBackground = true; windowsFormsThread.SetApartmentState(ApartmentState.STA); windowsFormsThread.Start(); Synch.WaitOne(); Console.WriteLine(); Console.WriteLine("WPF"); var wpfThread = new Thread(() => { OutputCaller(3); SynchronizationContext.SetSynchronizationContext( new DispatcherSynchronizationContext()); bw3.DoWork += (sender, e) => OutputWork(3); bw3.RunWorkerCompleted += (sender, e) => OutputCompleted(3); // Uses DispatcherSynchronizationContext bw3.RunWorkerAsync(); Dispatcher.Run(); }); wpfThread.IsBackground = true; wpfThread.SetApartmentState(ApartmentState.STA); wpfThread.Start(); Synch.WaitOne(); } static void OutputCaller(int workerId) { Console.WriteLine( "bw{0}.{1} | Thread: {2} | IsThreadPool: {3}", workerId, "RunWorkerAsync".PadRight(18), Thread.CurrentThread.ManagedThreadId, Thread.CurrentThread.IsThreadPoolThread); } static void OutputWork(int workerId) { Console.WriteLine( "bw{0}.{1} | Thread: {2} | IsThreadPool: {3}", workerId, "DoWork".PadRight(18), Thread.CurrentThread.ManagedThreadId, Thread.CurrentThread.IsThreadPoolThread); } static void OutputCompleted(int workerId) { Console.WriteLine( "bw{0}.{1} | Thread: {2} | IsThreadPool: {3}", workerId, "RunWorkerCompleted".PadRight(18), Thread.CurrentThread.ManagedThreadId, Thread.CurrentThread.IsThreadPoolThread); Synch.Set(); } } Output: //DEFAULT //bw1.RunWorkerAsync | Thread: 3 | IsThreadPool: False //bw1.DoWork | Thread: 4 | IsThreadPool: True //bw1.RunWorkerCompleted | Thread: 5 | IsThreadPool: True //WINDOWS FORMS //bw2.RunWorkerAsync | Thread: 6 | IsThreadPool: False //bw2.DoWork | Thread: 5 | IsThreadPool: True //bw2.RunWorkerCompleted | Thread: 6 | IsThreadPool: False //WPF //bw3.RunWorkerAsync | Thread: 7 | IsThreadPool: False //bw3.DoWork | Thread: 5 | IsThreadPool: True //bw3.RunWorkerCompleted | Thread: 7 | IsThreadPool: False As you can see the output between the first and remaining scenarios is somewhat different. While in Windows Forms and WPF the worker completed event runs on the thread that called RunWorkerAsync, in the first scenario the same event runs on any thread available in the thread pool. Another scenario where you can get the first behavior, even when on Windows Forms or WPF, is if you chain the creation of background workers, that is, you create a second worker in the DoWork event handler of an already running worker. Since the DoWork executes in a thread from the pool the second worker will use the default synchronization context and the completed event will not run in the UI thread.

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  • Apps Script Office Hours - September 6, 2012

    Apps Script Office Hours - September 6, 2012 In this week's episode of Google Apps Script office hours, Ikai and Jan: - Discuss the upcoming Apps Script hackathon in Austin, Texas (goo.gl - Answer a variety of questions from the Google Moderator. - Answer live questions about monetization and other topics. To find out when the next office hours will be held visit: developers.google.com From: GoogleDevelopers Views: 301 10 ratings Time: 25:28 More in Science & Technology

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  • Life, Identity, and Everything

    Life, Identity, and Everything Tim Bray is the Developer Advocate, and Breno de Madeiros is the tech lead, in the group at Google that does authentication and authorization APIs; specifically, those involving OAuth and OpenID. Breno also has his name on the front of a few of the OAuth RFCs. We're going to talk for a VERY few (less than 10) minutes on why OAuth is a good idea, and a couple of things we're working on right now to help do away with passwords. After that, ask us anything. From: GoogleDevelopers Views: 0 0 ratings Time: 30:00 More in Science & Technology

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  • Google I/O 2012 - Multi-Versioning Android User Interfaces

    Google I/O 2012 - Multi-Versioning Android User Interfaces Bruno Oliveira, Adam Powell This session will show you how to build user interfaces that work consistently across Android versions, from Eclair to today. We'll cover topics including the Action Bar, Fragments, style, size qualifiers, app structure, and navigation. For all I/O 2012 sessions, go to developers.google.com From: GoogleDevelopers Views: 1533 51 ratings Time: 48:22 More in Science & Technology

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  • ZFS for Database Log Files

    - by user12620111
    I've been troubled by drop outs in CPU usage in my application server, characterized by the CPUs suddenly going from close to 90% CPU busy to almost completely CPU idle for a few seconds. Here is an example of a drop out as shown by a snippet of vmstat data taken while the application server is under a heavy workload. # vmstat 1  kthr      memory            page            disk          faults      cpu  r b w   swap  free  re  mf pi po fr de sr s3 s4 s5 s6   in   sy   cs us sy id  1 0 0 130160176 116381952 0 16 0 0 0 0  0  0  0  0  0 207377 117715 203884 70 21 9  12 0 0 130160160 116381936 0 25 0 0 0 0 0  0  0  0  0 200413 117162 197250 70 20 9  11 0 0 130160176 116381920 0 16 0 0 0 0 0  0  1  0  0 203150 119365 200249 72 21 7  8 0 0 130160176 116377808 0 19 0 0 0 0  0  0  0  0  0 169826 96144 165194 56 17 27  0 0 0 130160176 116377800 0 16 0 0 0 0  0  0  0  0  1 10245 9376 9164 2  1 97  0 0 0 130160176 116377792 0 16 0 0 0 0  0  0  0  0  2 15742 12401 14784 4 1 95  0 0 0 130160176 116377776 2 16 0 0 0 0  0  0  1  0  0 19972 17703 19612 6 2 92  14 0 0 130160176 116377696 0 16 0 0 0 0 0  0  0  0  0 202794 116793 199807 71 21 8  9 0 0 130160160 116373584 0 30 0 0 0 0  0  0 18  0  0 203123 117857 198825 69 20 11 This behavior occurred consistently while the application server was processing synthetic transactions: HTTP requests from JMeter running on an external machine. I explored many theories trying to explain the drop outs, including: Unexpected JMeter behavior Network contention Java Garbage Collection Application Server thread pool problems Connection pool problems Database transaction processing Database I/O contention Graphing the CPU %idle led to a breakthrough: Several of the drop outs were 30 seconds apart. With that insight, I went digging through the data again and looking for other outliers that were 30 seconds apart. In the database server statistics, I found spikes in the iostat "asvc_t" (average response time of disk transactions, in milliseconds) for the disk drive that was being used for the database log files. Here is an example:                     extended device statistics     r/s    w/s   kr/s   kw/s wait actv wsvc_t asvc_t  %w  %b device     0.0 2053.6    0.0 8234.3  0.0  0.2    0.0    0.1   0  24 c3t60080E5...F4F6d0s0     0.0 2162.2    0.0 8652.8  0.0  0.3    0.0    0.1   0  28 c3t60080E5...F4F6d0s0     0.0 1102.5    0.0 10012.8  0.0  4.5    0.0    4.1   0  69 c3t60080E5...F4F6d0s0     0.0   74.0    0.0 7920.6  0.0 10.0    0.0  135.1   0 100 c3t60080E5...F4F6d0s0     0.0  568.7    0.0 6674.0  0.0  6.4    0.0   11.2   0  90 c3t60080E5...F4F6d0s0     0.0 1358.0    0.0 5456.0  0.0  0.6    0.0    0.4   0  55 c3t60080E5...F4F6d0s0     0.0 1314.3    0.0 5285.2  0.0  0.7    0.0    0.5   0  70 c3t60080E5...F4F6d0s0 Here is a little more information about my database configuration: The database and application server were running on two different SPARC servers. Storage for the database was on a storage array connected via 8 gigabit Fibre Channel Data storage and log file were on different physical disk drives Reliable low latency I/O is provided by battery backed NVRAM Highly available: Two Fibre Channel links accessed via MPxIO Two Mirrored cache controllers The log file physical disks were mirrored in the storage device Database log files on a ZFS Filesystem with cutting-edge technologies, such as copy-on-write and end-to-end checksumming Why would I be getting service time spikes in my high-end storage? First, I wanted to verify that the database log disk service time spikes aligned with the application server CPU drop outs, and they did: At first, I guessed that the disk service time spikes might be related to flushing the write through cache on the storage device, but I was unable to validate that theory. After searching the WWW for a while, I decided to try using a separate log device: # zpool add ZFS-db-41 log c3t60080E500017D55C000015C150A9F8A7d0 The ZFS log device is configured in a similar manner as described above: two physical disks mirrored in the storage array. This change to the database storage configuration eliminated the application server CPU drop outs: Here is the zpool configuration: # zpool status ZFS-db-41   pool: ZFS-db-41  state: ONLINE  scan: none requested config:         NAME                                     STATE         ZFS-db-41                                ONLINE           c3t60080E5...F4F6d0  ONLINE         logs           c3t60080E5...F8A7d0  ONLINE Now, the I/O spikes look like this:                     extended device statistics                  r/s    w/s   kr/s   kw/s wait actv wsvc_t asvc_t  %w  %b device     0.0 1053.5    0.0 4234.1  0.0  0.8    0.0    0.7   0  75 c3t60080E5...F8A7d0s0                     extended device statistics                  r/s    w/s   kr/s   kw/s wait actv wsvc_t asvc_t  %w  %b device     0.0 1131.8    0.0 4555.3  0.0  0.8    0.0    0.7   0  76 c3t60080E5...F8A7d0s0                     extended device statistics                  r/s    w/s   kr/s   kw/s wait actv wsvc_t asvc_t  %w  %b device     0.0 1167.6    0.0 4682.2  0.0  0.7    0.0    0.6   0  74 c3t60080E5...F8A7d0s0     0.0  162.2    0.0 19153.9  0.0  0.7    0.0    4.2   0  12 c3t60080E5...F4F6d0s0                     extended device statistics                  r/s    w/s   kr/s   kw/s wait actv wsvc_t asvc_t  %w  %b device     0.0 1247.2    0.0 4992.6  0.0  0.7    0.0    0.6   0  71 c3t60080E5...F8A7d0s0     0.0   41.0    0.0   70.0  0.0  0.1    0.0    1.6   0   2 c3t60080E5...F4F6d0s0                     extended device statistics                  r/s    w/s   kr/s   kw/s wait actv wsvc_t asvc_t  %w  %b device     0.0 1241.3    0.0 4989.3  0.0  0.8    0.0    0.6   0  75 c3t60080E5...F8A7d0s0                     extended device statistics                  r/s    w/s   kr/s   kw/s wait actv wsvc_t asvc_t  %w  %b device     0.0 1193.2    0.0 4772.9  0.0  0.7    0.0    0.6   0  71 c3t60080E5...F8A7d0s0 We can see the steady flow of 4k writes to the ZIL device from O_SYNC database log file writes. The spikes are from flushing the transaction group. Like almost all problems that I run into, once I thoroughly understand the problem, I find that other people have documented similar experiences. Thanks to all of you who have documented alternative approaches. Saved for another day: now that the problem is obvious, I should try "zfs:zfs_immediate_write_sz" as recommended in the ZFS Evil Tuning Guide. References: The ZFS Intent Log Solaris ZFS, Synchronous Writes and the ZIL Explained ZFS Evil Tuning Guide: Cache Flushes ZFS Evil Tuning Guide: Tuning ZFS for Database Performance

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