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• 62 miles up

  - by fatherjack

  RedGate are known for being a software company with a big personality and having a huge presence in the SQL Community. They run the annual Exceptional DBA competition, having held a party at the PASS summit last night to celebrate this years winner - Jeff Moden. They have also got a great attitude towards their staff as demonstrated on their website. Today, just after the PASS Summit keynote speech they made an announcement that is literally going to give one lucky winner the ride of their life....(read more)

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• Move Window Buttons Back to the Right in Ubuntu 10.04

  - by Trevor Bekolay

  One of the more controversial changes in the Ubuntu 10.04 beta is the Mac OS-inspired change to have window buttons on the left side. We’ll show you how to move the buttons back to the right. Before While the change may or may not persist through to the April 29 release of Ubuntu 10.04, in the beta version the maximize, minimize, and close buttons appear in the top left of a window. How to move the window buttons The window button locations are dictated by a configuration file. We’ll use the graphical program gconf-editor to change this configuration file. Press Alt+F2 to bring up the Run Application dialog box, enter “gconf-editor” in the text field, and click on Run. The Configuration Editor should pop up. The key that we want to edit is in apps/metacity/general. Click on the + button next to the “apps” folder, then beside “metacity” in the list of folders expanded for apps, and then click on the “general” folder. The button layout can be changed by changing the “button_layout” key. Double-click button_layout to edit it. Change the text in the Value text field to: menu:maximize,minimize,close Click OK and the change will occur immediately, changing the location of the window buttons in the Configuration Editor. Note that this ordering of the window buttons is slightly different than the typical order; in previous versions of Ubuntu and in Windows, the minimize button is to the left of the maximize button. You can change the button_layout string to reflect that ordering, but using the default Ubuntu 10.04 theme, it looks a bit strange. If you plan to change the theme, or even just the graphics used for the window buttons, then this ordering may be more natural to you. After After this change, all of your windows will have the maximize, minimize, and close buttons on the right. What do you think of Ubuntu 10.04’s visual change? Let us know in the comments! Similar Articles Productive Geek Tips Move a Window Without Clicking the Titlebar in UbuntuBring Misplaced Off-Screen Windows Back to Your Desktop (Keyboard Trick)Keep the Display From Turning Off on UbuntuPut Close/Maximize/Minimize Buttons on the Left in UbuntuAllow Remote Control To Your Desktop On Ubuntu TouchFreeze Alternative in AutoHotkey The Icy Undertow Desktop Windows Home Server – Backup to LAN The Clear & Clean Desktop Use This Bookmarklet to Easily Get Albums Use AutoHotkey to Assign a Hotkey to a Specific Window Latest Software Reviews Tinyhacker Random Tips Revo Uninstaller Pro Registry Mechanic 9 for Windows PC Tools Internet Security Suite 2010 PCmover Professional SpeedyFox Claims to Speed up your Firefox Beware Hover Kitties Test Drive Mobile Phones Online With TryPhone Ben & Jerry’s Free Cone Day, 3/23/10 New Stinger from McAfee Helps Remove ‘FakeAlert’ Threats Google Apps Marketplace: Tools & Services For Google Apps Users

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• Microsoft Desktop Player is a Valuable Tool for IT Pro’s

  - by Mysticgeek

  If you are an IT Professional, a new education tool introduced by Microsoft is the MS Desktop Player. Today we take a look at what it has to offer, from Webcasts, White Papers, Training Videos, and more. Microsoft Desktop Player You can run the player from the website (shown here) or download the application for use on your local machine (link below). It allows you to easily access MS training and information in a central interface. To get the Desktop version, download the .msi file from the site… And run through the installer…   When you first start out, enter in if you’re an IT Pro, Developer and your role. Then you can decide on the resources you’re looking for such as Exchange Server, SharePoint, Windows 7, Security…etc. Here is an example of checking out a Podcast on Office 2007 setup and configuration from TechNet radio. Under Settings you can customize your search results and local resources. This helps you narrow down pertinent information for your needs. If you find something you really like, hover the pointer over the screen and you can add it to your library, share it, send feedback, and check for additional resources. If you don’t need items in your library they can be easily deleted. Under the News tab you get previews of Microsoft news items, clicking on it will open the full article in a separate browser. While you’re watching a presentation you can show or hide the details related to it. Conclusion Microsoft Desktop Player is currently in Beta, but has a lot of cool features to offer for your learning needs. You can easily find Podcasts, Webcasts, and more without having to browse all over the place. In our experience we didn’t notice any bugs, and what it offers so far works well. If you’re a geek who’s constantly browsing TechNet and other Microsoft learning sites, this helps keep everything consolidated in one app.  Download Microsoft Desktop Player Similar Articles Productive Geek Tips Fixing When Windows Media Player Library Won’t Let You Add FilesBuilt-in Quick Launch Hotkeys in Windows VistaNew Vista Syntax for Opening Control Panel Items from the Command-lineHow to Get Virtual Desktops on Windows XPWindows 7 Welcome Screen Taking Forever? Here’s the Fix (Maybe) TouchFreeze Alternative in AutoHotkey The Icy Undertow Desktop Windows Home Server – Backup to LAN The Clear & Clean Desktop Use This Bookmarklet to Easily Get Albums Use AutoHotkey to Assign a Hotkey to a Specific Window Latest Software Reviews Tinyhacker Random Tips Xobni Plus for Outlook All My Movies 5.9 CloudBerry Online Backup 1.5 for Windows Home Server Snagit 10 Zoofs, find the most popular tweeted YouTube videos Video preview of new Windows Live Essentials 21 Cursor Packs for XP, Vista & 7 Map the Stars with Stellarium Use ILovePDF To Split and Merge PDF Files TimeToMeet is a Simple Online Meeting Planning Tool

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• Custom BizTalk, Orchestration SMTP Adapter Dynamic send port

  How to build a BizTalk application that will allow run time configuration and sending of SMTP email from within an orchestration  read moreBy BiZTech KnowDid 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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• C#/.NET Little Wonders: The ConcurrentDictionary

  - by James Michael Hare

  Once again we consider some of the lesser known classes and keywords of C#.  In this series of posts, we will discuss how the concurrent collections have been developed to help alleviate these multi-threading concerns.  Last week’s post began with a general introduction and discussed the ConcurrentStack<T> and ConcurrentQueue<T>.  Today's post discusses the ConcurrentDictionary<T> (originally I had intended to discuss ConcurrentBag this week as well, but ConcurrentDictionary had enough information to create a very full post on its own!).  Finally next week, we shall close with a discussion of the ConcurrentBag<T> and BlockingCollection<T>. For more of the "Little Wonders" posts, see the index here. Recap As you'll recall from the previous post, the original collections were object-based containers that accomplished synchronization through a Synchronized member.  While these were convenient because you didn't have to worry about writing your own synchronization logic, they were a bit too finely grained and if you needed to perform multiple operations under one lock, the automatic synchronization didn't buy much. With the advent of .NET 2.0, the original collections were succeeded by the generic collections which are fully type-safe, but eschew automatic synchronization.  This cuts both ways in that you have a lot more control as a developer over when and how fine-grained you want to synchronize, but on the other hand if you just want simple synchronization it creates more work. With .NET 4.0, we get the best of both worlds in generic collections.  A new breed of collections was born called the concurrent collections in the System.Collections.Concurrent namespace.  These amazing collections are fine-tuned to have best overall performance for situations requiring concurrent access.  They are not meant to replace the generic collections, but to simply be an alternative to creating your own locking mechanisms. Among those concurrent collections were the ConcurrentStack<T> and ConcurrentQueue<T> which provide classic LIFO and FIFO collections with a concurrent twist.  As we saw, some of the traditional methods that required calls to be made in a certain order (like checking for not IsEmpty before calling Pop()) were replaced in favor of an umbrella operation that combined both under one lock (like TryPop()). Now, let's take a look at the next in our series of concurrent collections!For some excellent information on the performance of the concurrent collections and how they perform compared to a traditional brute-force locking strategy, see this wonderful whitepaper by the Microsoft Parallel Computing Platform team here. ConcurrentDictionary – the fully thread-safe dictionary The ConcurrentDictionary<TKey,TValue> is the thread-safe counterpart to the generic Dictionary<TKey, TValue> collection.  Obviously, both are designed for quick – O(1) – lookups of data based on a key.  If you think of algorithms where you need lightning fast lookups of data and don’t care whether the data is maintained in any particular ordering or not, the unsorted dictionaries are generally the best way to go. Note: as a side note, there are sorted implementations of IDictionary, namely SortedDictionary and SortedList which are stored as an ordered tree and a ordered list respectively.  While these are not as fast as the non-sorted dictionaries – they are O(log2 n) – they are a great combination of both speed and ordering -- and still greatly outperform a linear search. Now, once again keep in mind that if all you need to do is load a collection once and then allow multi-threaded reading you do not need any locking.  Examples of this tend to be situations where you load a lookup or translation table once at program start, then keep it in memory for read-only reference.  In such cases locking is completely non-productive. However, most of the time when we need a concurrent dictionary we are interleaving both reads and updates.  This is where the ConcurrentDictionary really shines!  It achieves its thread-safety with no common lock to improve efficiency.  It actually uses a series of locks to provide concurrent updates, and has lockless reads!  This means that the ConcurrentDictionary gets even more efficient the higher the ratio of reads-to-writes you have. ConcurrentDictionary and Dictionary differences For the most part, the ConcurrentDictionary<TKey,TValue> behaves like it’s Dictionary<TKey,TValue> counterpart with a few differences.  Some notable examples of which are: Add() does not exist in the concurrent dictionary. This means you must use TryAdd(), AddOrUpdate(), or GetOrAdd().  It also means that you can’t use a collection initializer with the concurrent dictionary. TryAdd() replaced Add() to attempt atomic, safe adds. Because Add() only succeeds if the item doesn’t already exist, we need an atomic operation to check if the item exists, and if not add it while still under an atomic lock. TryUpdate() was added to attempt atomic, safe updates. If we want to update an item, we must make sure it exists first and that the original value is what we expected it to be.  If all these are true, we can update the item under one atomic step. TryRemove() was added to attempt atomic, safe removes. To safely attempt to remove a value we need to see if the key exists first, this checks for existence and removes under an atomic lock. AddOrUpdate() was added to attempt an thread-safe “upsert”. There are many times where you want to insert into a dictionary if the key doesn’t exist, or update the value if it does.  This allows you to make a thread-safe add-or-update. GetOrAdd() was added to attempt an thread-safe query/insert. Sometimes, you want to query for whether an item exists in the cache, and if it doesn’t insert a starting value for it.  This allows you to get the value if it exists and insert if not. Count, Keys, Values properties take a snapshot of the dictionary. Accessing these properties may interfere with add and update performance and should be used with caution. ToArray() returns a static snapshot of the dictionary. That is, the dictionary is locked, and then copied to an array as a O(n) operation.  GetEnumerator() is thread-safe and efficient, but allows dirty reads. Because reads require no locking, you can safely iterate over the contents of the dictionary.  The only downside is that, depending on timing, you may get dirty reads. Dirty reads during iteration The last point on GetEnumerator() bears some explanation.  Picture a scenario in which you call GetEnumerator() (or iterate using a foreach, etc.) and then, during that iteration the dictionary gets updated.  This may not sound like a big deal, but it can lead to inconsistent results if used incorrectly.  The problem is that items you already iterated over that are updated a split second after don’t show the update, but items that you iterate over that were updated a split second before do show the update.  Thus you may get a combination of items that are “stale” because you iterated before the update, and “fresh” because they were updated after GetEnumerator() but before the iteration reached them. Let’s illustrate with an example, let’s say you load up a concurrent dictionary like this: 1: // load up a dictionary. 2: var dictionary = new ConcurrentDictionary<string, int>(); 3:  4: dictionary["A"] = 1; 5: dictionary["B"] = 2; 6: dictionary["C"] = 3; 7: dictionary["D"] = 4; 8: dictionary["E"] = 5; 9: dictionary["F"] = 6; Then you have one task (using the wonderful TPL!) to iterate using dirty reads: 1: // attempt iteration in a separate thread 2: var iterationTask = new Task(() => 3: { 4: // iterates using a dirty read 5: foreach (var pair in dictionary) 6: { 7: Console.WriteLine(pair.Key + ":" + pair.Value); 8: } 9: }); And one task to attempt updates in a separate thread (probably): 1: // attempt updates in a separate thread 2: var updateTask = new Task(() => 3: { 4: // iterates, and updates the value by one 5: foreach (var pair in dictionary) 6: { 7: dictionary[pair.Key] = pair.Value + 1; 8: } 9: }); Now that we’ve done this, we can fire up both tasks and wait for them to complete: 1: // start both tasks 2: updateTask.Start(); 3: iterationTask.Start(); 4:  5: // wait for both to complete. 6: Task.WaitAll(updateTask, iterationTask); Now, if I you didn’t know about the dirty reads, you may have expected to see the iteration before the updates (such as A:1, B:2, C:3, D:4, E:5, F:6).  However, because the reads are dirty, we will quite possibly get a combination of some updated, some original.  My own run netted this result: 1: F:6 2: E:6 3: D:5 4: C:4 5: B:3 6: A:2 Note that, of course, iteration is not in order because ConcurrentDictionary, like Dictionary, is unordered.  Also note that both E and F show the value 6.  This is because the output task reached F before the update, but the updates for the rest of the items occurred before their output (probably because console output is very slow, comparatively). If we want to always guarantee that we will get a consistent snapshot to iterate over (that is, at the point we ask for it we see precisely what is in the dictionary and no subsequent updates during iteration), we should iterate over a call to ToArray() instead: 1: // attempt iteration in a separate thread 2: var iterationTask = new Task(() => 3: { 4: // iterates using a dirty read 5: foreach (var pair in dictionary.ToArray()) 6: { 7: Console.WriteLine(pair.Key + ":" + pair.Value); 8: } 9: }); The atomic Try…() methods As you can imagine TryAdd() and TryRemove() have few surprises.  Both first check the existence of the item to determine if it can be added or removed based on whether or not the key currently exists in the dictionary: 1: // try add attempts an add and returns false if it already exists 2: if (dictionary.TryAdd("G", 7)) 3: Console.WriteLine("G did not exist, now inserted with 7"); 4: else 5: Console.WriteLine("G already existed, insert failed."); TryRemove() also has the virtue of returning the value portion of the removed entry matching the given key: 1: // attempt to remove the value, if it exists it is removed and the original is returned 2: int removedValue; 3: if (dictionary.TryRemove("C", out removedValue)) 4: Console.WriteLine("Removed C and its value was " + removedValue); 5: else 6: Console.WriteLine("C did not exist, remove failed."); Now TryUpdate() is an interesting creature.  You might think from it’s name that TryUpdate() first checks for an item’s existence, and then updates if the item exists, otherwise it returns false.  Well, note quite... It turns out when you call TryUpdate() on a concurrent dictionary, you pass it not only the new value you want it to have, but also the value you expected it to have before the update.  If the item exists in the dictionary, and it has the value you expected, it will update it to the new value atomically and return true.  If the item is not in the dictionary or does not have the value you expected, it is not modified and false is returned. 1: // attempt to update the value, if it exists and if it has the expected original value 2: if (dictionary.TryUpdate("G", 42, 7)) 3: Console.WriteLine("G existed and was 7, now it's 42."); 4: else 5: Console.WriteLine("G either didn't exist, or wasn't 7."); The composite Add methods The ConcurrentDictionary also has composite add methods that can be used to perform updates and gets, with an add if the item is not existing at the time of the update or get. The first of these, AddOrUpdate(), allows you to add a new item to the dictionary if it doesn’t exist, or update the existing item if it does.  For example, let’s say you are creating a dictionary of counts of stock ticker symbols you’ve subscribed to from a market data feed: 1: public sealed class SubscriptionManager 2: { 3: private readonly ConcurrentDictionary<string, int> _subscriptions = new ConcurrentDictionary<string, int>(); 4:  5: // adds a new subscription, or increments the count of the existing one. 6: public void AddSubscription(string tickerKey) 7: { 8: // add a new subscription with count of 1, or update existing count by 1 if exists 9: var resultCount = _subscriptions.AddOrUpdate(tickerKey, 1, (symbol, count) => count + 1); 10:  11: // now check the result to see if we just incremented the count, or inserted first count 12: if (resultCount == 1) 13: { 14: // subscribe to symbol... 15: } 16: } 17: } Notice the update value factory Func delegate.  If the key does not exist in the dictionary, the add value is used (in this case 1 representing the first subscription for this symbol), but if the key already exists, it passes the key and current value to the update delegate which computes the new value to be stored in the dictionary.  The return result of this operation is the value used (in our case: 1 if added, existing value + 1 if updated). Likewise, the GetOrAdd() allows you to attempt to retrieve a value from the dictionary, and if the value does not currently exist in the dictionary it will insert a value.  This can be handy in cases where perhaps you wish to cache data, and thus you would query the cache to see if the item exists, and if it doesn’t you would put the item into the cache for the first time: 1: public sealed class PriceCache 2: { 3: private readonly ConcurrentDictionary<string, double> _cache = new ConcurrentDictionary<string, double>(); 4:  5: // adds a new subscription, or increments the count of the existing one. 6: public double QueryPrice(string tickerKey) 7: { 8: // check for the price in the cache, if it doesn't exist it will call the delegate to create value. 9: return _cache.GetOrAdd(tickerKey, symbol => GetCurrentPrice(symbol)); 10: } 11:  12: private double GetCurrentPrice(string tickerKey) 13: { 14: // do code to calculate actual true price. 15: } 16: } There are other variations of these two methods which vary whether a value is provided or a factory delegate, but otherwise they work much the same. Oddities with the composite Add methods The AddOrUpdate() and GetOrAdd() methods are totally thread-safe, on this you may rely, but they are not atomic.  It is important to note that the methods that use delegates execute those delegates outside of the lock.  This was done intentionally so that a user delegate (of which the ConcurrentDictionary has no control of course) does not take too long and lock out other threads. This is not necessarily an issue, per se, but it is something you must consider in your design.  The main thing to consider is that your delegate may get called to generate an item, but that item may not be the one returned!  Consider this scenario: A calls GetOrAdd and sees that the key does not currently exist, so it calls the delegate.  Now thread B also calls GetOrAdd and also sees that the key does not currently exist, and for whatever reason in this race condition it’s delegate completes first and it adds its new value to the dictionary.  Now A is done and goes to get the lock, and now sees that the item now exists.  In this case even though it called the delegate to create the item, it will pitch it because an item arrived between the time it attempted to create one and it attempted to add it. Let’s illustrate, assume this totally contrived example program which has a dictionary of char to int.  And in this dictionary we want to store a char and it’s ordinal (that is, A = 1, B = 2, etc).  So for our value generator, we will simply increment the previous value in a thread-safe way (perhaps using Interlocked): 1: public static class Program 2: { 3: private static int _nextNumber = 0; 4:  5: // the holder of the char to ordinal 6: private static ConcurrentDictionary<char, int> _dictionary 7: = new ConcurrentDictionary<char, int>(); 8:  9: // get the next id value 10: public static int NextId 11: { 12: get { return Interlocked.Increment(ref _nextNumber); } 13: } Then, we add a method that will perform our insert: 1: public static void Inserter() 2: { 3: for (int i = 0; i < 26; i++) 4: { 5: _dictionary.GetOrAdd((char)('A' + i), key => NextId); 6: } 7: } Finally, we run our test by starting two tasks to do this work and get the results… 1: public static void Main() 2: { 3: // 3 tasks attempting to get/insert 4: var tasks = new List<Task> 5: { 6: new Task(Inserter), 7: new Task(Inserter) 8: }; 9:  10: tasks.ForEach(t => t.Start()); 11: Task.WaitAll(tasks.ToArray()); 12:  13: foreach (var pair in _dictionary.OrderBy(p => p.Key)) 14: { 15: Console.WriteLine(pair.Key + ":" + pair.Value); 16: } 17: } If you run this with only one task, you get the expected A:1, B:2, ..., Z:26.  But running this in parallel you will get something a bit more complex.  My run netted these results: 1: A:1 2: B:3 3: C:4 4: D:5 5: E:6 6: F:7 7: G:8 8: H:9 9: I:10 10: J:11 11: K:12 12: L:13 13: M:14 14: N:15 15: O:16 16: P:17 17: Q:18 18: R:19 19: S:20 20: T:21 21: U:22 22: V:23 23: W:24 24: X:25 25: Y:26 26: Z:27 Notice that B is 3?  This is most likely because both threads attempted to call GetOrAdd() at roughly the same time and both saw that B did not exist, thus they both called the generator and one thread got back 2 and the other got back 3.  However, only one of those threads can get the lock at a time for the actual insert, and thus the one that generated the 3 won and the 3 was inserted and the 2 got discarded.  This is why on these methods your factory delegates should be careful not to have any logic that would be unsafe if the value they generate will be pitched in favor of another item generated at roughly the same time.  As such, it is probably a good idea to keep those generators as stateless as possible. Summary The ConcurrentDictionary is a very efficient and thread-safe version of the Dictionary generic collection.  It has all the benefits of type-safety that it’s generic collection counterpart does, and in addition is extremely efficient especially when there are more reads than writes concurrently. Tweet Technorati Tags: C#, .NET, Concurrent Collections, Collections, Little Wonders, Black Rabbit Coder,James Michael Hare

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• Is there a way to update all Java related alternatives?

  - by James McMahon

  Is there a way to quickly switch over all the Java related alternatives using update-alternatives? For instance, if want to switch Java over to 7, I run sudo update-alternatives --config java and select the Java 7 OpenJdk. But if I run update-alternatives --get-selections | grep java I get the following, appletviewer auto /usr/lib/jvm/java-6-openjdk-amd64/bin/appletviewer extcheck auto /usr/lib/jvm/java-6-openjdk-amd64/bin/extcheck idlj auto /usr/lib/jvm/java-6-openjdk-amd64/bin/idlj itweb-settings auto /usr/lib/jvm/java-6-openjdk-amd64/jre/bin/itweb-settings jar auto /usr/lib/jvm/java-6-openjdk-amd64/bin/jar jarsigner auto /usr/lib/jvm/java-6-openjdk-amd64/bin/jarsigner java manual /usr/lib/jvm/java-7-openjdk-amd64/jre/bin/java javac auto /usr/lib/jvm/java-6-openjdk-amd64/bin/javac javadoc auto /usr/lib/jvm/java-6-openjdk-amd64/bin/javadoc javah auto /usr/lib/jvm/java-6-openjdk-amd64/bin/javah javap auto /usr/lib/jvm/java-6-openjdk-amd64/bin/javap javaws auto /usr/lib/jvm/java-6-openjdk-amd64/jre/bin/javaws jconsole auto /usr/lib/jvm/java-6-openjdk-amd64/bin/jconsole jdb auto /usr/lib/jvm/java-6-openjdk-amd64/bin/jdb jexec auto /usr/lib/jvm/java-6-openjdk-amd64/jre/lib/jexec jhat auto /usr/lib/jvm/java-6-openjdk-amd64/bin/jhat jinfo auto /usr/lib/jvm/java-6-openjdk-amd64/bin/jinfo jmap auto /usr/lib/jvm/java-6-openjdk-amd64/bin/jmap jps auto /usr/lib/jvm/java-6-openjdk-amd64/bin/jps jrunscript auto /usr/lib/jvm/java-6-openjdk-amd64/bin/jrunscript jsadebugd auto /usr/lib/jvm/java-6-openjdk-amd64/bin/jsadebugd jstack auto /usr/lib/jvm/java-6-openjdk-amd64/bin/jstack jstat auto /usr/lib/jvm/java-6-openjdk-amd64/bin/jstat jstatd auto /usr/lib/jvm/java-6-openjdk-amd64/bin/jstatd keytool auto /usr/lib/jvm/java-6-openjdk-amd64/jre/bin/keytool native2ascii auto /usr/lib/jvm/java-6-openjdk-amd64/bin/native2ascii orbd auto /usr/lib/jvm/java-6-openjdk-amd64/jre/bin/orbd pack200 auto /usr/lib/jvm/java-6-openjdk-amd64/jre/bin/pack200 policytool auto /usr/lib/jvm/java-6-openjdk-amd64/jre/bin/policytool rmic auto /usr/lib/jvm/java-6-openjdk-amd64/bin/rmic rmid auto /usr/lib/jvm/java-6-openjdk-amd64/jre/bin/rmid rmiregistry auto /usr/lib/jvm/java-6-openjdk-amd64/jre/bin/rmiregistry schemagen auto /usr/lib/jvm/java-6-openjdk-amd64/bin/schemagen serialver auto /usr/lib/jvm/java-6-openjdk-amd64/bin/serialver servertool auto /usr/lib/jvm/java-6-openjdk-amd64/jre/bin/servertool tnameserv auto /usr/lib/jvm/java-6-openjdk-amd64/jre/bin/tnameserv unpack200 auto /usr/lib/jvm/java-6-openjdk-amd64/jre/bin/unpack200 wsgen auto /usr/lib/jvm/java-6-openjdk-amd64/bin/wsgen wsimport auto /usr/lib/jvm/java-6-openjdk-amd64/bin/wsimport xjc auto /usr/lib/jvm/java-6-openjdk-amd64/bin/xjc As you can see, my Java alternative was switched over to 7, but every other alternative based on OpenJDK 6 was not switched over. Sure I could switch each one manually or write a script to do so, but I assume there is a better way to accomplish this.

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• How To Uninstall, Disable, and Remove Windows Defender. Also, How Turn it Off

  - by The Geek

  If you’re already running a full anti-malware suite, you might not even realize that Windows Defender is already installed with Windows, and is probably wasting precious resources. Here’s how to get rid of it. Now, just to be clear, we’re not saying that we hate Windows Defender. Some spyware protection is better than none, and it’s built in and free! But… if you are already running something that provides great anti-malware protection, there’s no need to have more than one application running at a time. Disable Windows Defender Unfortunately, Windows Defender is completely built into Windows, and you’re not going to actually uninstall it. What we can do, however, is disable it. Open up Windows Defender, go to Tools on the top menu, and then click on Options. Now click on Administrator on the left-hand pane, uncheck the box for “Use this program”, and click the Save button. You will then be told that the program is turned off. Awesome! If you really, really want to make sure that it never comes back, you can also open up the Services panel through Control Panel, or by typing services.msc into the Start Menu search or run boxes. Find Windows Defender in the list and double-click on it… And then you can change Startup type to Disabled. Now again, we’re not necessarily advocating that you get rid of Windows Defender. Make sure you keep yourself protected from malware! Similar Articles Productive Geek Tips Stop an Application from Running at Startup in Windows VistaRemove "Map Network Drive" Menu Item from Windows Vista or XPManually Remove Skype Extension from FirefoxUninstall, Disable, or Delete Internet Explorer 8 from Windows 7Still Useful in Vista: Startup Control Panel TouchFreeze Alternative in AutoHotkey The Icy Undertow Desktop Windows Home Server – Backup to LAN The Clear & Clean Desktop Use This Bookmarklet to Easily Get Albums Use AutoHotkey to Assign a Hotkey to a Specific Window Latest Software Reviews Tinyhacker Random Tips DVDFab 6 Revo Uninstaller Pro Registry Mechanic 9 for Windows PC Tools Internet Security Suite 2010 Combine MP3 Files Easily QuicklyCode Provides Cheatsheets & Other Programming Stuff Download Free MP3s from Amazon Awe inspiring, inter-galactic theme (Win 7) Case Study – How to Optimize Popular Wordpress Sites Restore Hidden Updates in Windows 7 & Vista

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• Audio podcast: Oracle WebLogic Suite Virtualization Option

  - by blake.connell

  Steve Harris, Senior Vice President of application server and Java Platform, Enterprise Edition development, talks about running Oracle WebLogic Server on Oracle JRockit Virtual Edition. Listen here to learn how you can run faster and more efficiently without a guest operating system on Oracle VM.

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• Combination of Operating Mode and Commit Strategy

  - by Kevin Yang

  If you want to populate a source into multiple targets, you may also want to ensure that every row from the source affects all targets uniformly (or separately). Let’s consider the Example Mapping below. If a row from SOURCE causes different changes in multiple targets (TARGET_1, TARGET_2 and TARGET_3), for example, it can be successfully inserted into TARGET_1 and TARGET_3, but failed to be inserted into TARGET_2, and the current Mapping Property TLO (target load order) is “TARGET_1 -> TARGET_2 -> TARGET_3”. What should Oracle Warehouse Builder do, in order to commit the appropriate data to all affected targets at the same time? If it doesn’t behave as you intended, the data could become inaccurate and possibly unusable.                                               Example Mapping In OWB, we can use Mapping Configuration Commit Strategies and Operating Modes together to achieve this kind of requirements. Below we will explore the combination of these two features and how they affect the results in the target tables Before going to the example, let’s review some of the terms we will be using (Details can be found in white paper Oracle® Warehouse Builder Data Modeling, ETL, and Data Quality Guide11g Release 2): Operating Modes: Set-Based Mode: Warehouse Builder generates a single SQL statement that processes all data and performs all operations. Row-Based Mode: Warehouse Builder generates statements that process data row by row. The select statement is in a SQL cursor. All subsequent statements are PL/SQL. Row-Based (Target Only) Mode: Warehouse Builder generates a cursor select statement and attempts to include as many operations as possible in the cursor. For each target, Warehouse Builder inserts each row into the target separately. Commit Strategies: Automatic: Warehouse Builder loads and then automatically commits data based on the mapping design. If the mapping has multiple targets, Warehouse Builder commits and rolls back each target separately and independently of other targets. Use the automatic commit when the consequences of multiple targets being loaded unequally are not great or are irrelevant. Automatic correlated: It is a specialized type of automatic commit that applies to PL/SQL mappings with multiple targets only. Warehouse Builder considers all targets collectively and commits or rolls back data uniformly across all targets. Use the correlated commit when it is important to ensure that every row in the source affects all affected targets uniformly. Manual: select manual commit control for PL/SQL mappings when you want to interject complex business logic, perform validations, or run other mappings before committing data. Combination of the commit strategy and operating mode To understand the effects of each combination of operating mode and commit strategy, I’ll illustrate using the following example Mapping. Firstly we insert 100 rows into the SOURCE table and make sure that the 99th row and 100th row have the same ID value. And then we create a unique key constraint on ID column for TARGET_2 table. So while running the example mapping, OWB tries to load all 100 rows to each of the targets. But the mapping should fail to load the 100th row to TARGET_2, because it will violate the unique key constraint of table TARGET_2. With different combinations of Commit Strategy and Operating Mode, here are the results ¦ Set-based/ Correlated Commit: Configuration of Example mapping:                                                     Result:                                                      What’s happening: A single error anywhere in the mapping triggers the rollback of all data. OWB encounters the error inserting into Target_2, it reports an error for the table and does not load the row. OWB rolls back all the rows inserted into Target_1 and does not attempt to load rows to Target_3. No rows are added to any of the target tables. ¦ Row-based/ Correlated Commit: Configuration of Example mapping:                                                   Result:                                                  What’s happening: OWB evaluates each row separately and loads it to all three targets. Loading continues in this way until OWB encounters an error loading row 100th to Target_2. OWB reports the error and does not load the row. It rolls back the row 100th previously inserted into Target_1 and does not attempt to load row 100 to Target_3. Then, if there are remaining rows, OWB will continue loading them, resuming with loading rows to Target_1. The mapping completes with 99 rows inserted into each target. ¦ Set-based/ Automatic Commit: Configuration of Example mapping: Result: What’s happening: When OWB encounters the error inserting into Target_2, it does not load any rows and reports an error for the table. It does, however, continue to insert rows into Target_3 and does not roll back the rows previously inserted into Target_1. The mapping completes with one error message for Target_2, no rows inserted into Target_2, and 100 rows inserted into Target_1 and Target_3 separately. ¦ Row-based/Automatic Commit: Configuration of Example mapping: Result: What’s happening: OWB evaluates each row separately for loading into the targets. Loading continues in this way until OWB encounters an error loading row 100 to Target_2 and reports the error. OWB does not roll back row 100th from Target_1, does insert it into Target_3. If there are remaining rows, it will continue to load them. The mapping completes with 99 rows inserted into Target_2 and 100 rows inserted into each of the other targets. Note: Automatic Correlated commit is not applicable for row-based (target only). If you design a mapping with the row-based (target only) and correlated commit combination, OWB runs the mapping but does not perform the correlated commit. In set-based mode, correlated commit may impact the size of your rollback segments. Space for rollback segments may be a concern when you merge data (insert/update or update/insert). Correlated commit operates transparently with PL/SQL bulk processing code. The correlated commit strategy is not available for mappings run in any mode that are configured for Partition Exchange Loading or that include a Queue, Match Merge, or Table Function operator. If you want to practice in your own environment, you can follow the steps: 1. Import the MDL file: commit_operating_mode.mdl 2. Fix the location for oracle module ORCL and deploy all tables under it. 3. Insert sample records into SOURCE table, using below plsql code: begin     for i in 1..99     loop         insert into source values(i, 'col_'||i);     end loop;     insert into source values(99, 'col_99'); end; 4. Configure MAPPING_1 to any combinations of operating mode and commit strategy you want to test. And make sure feature TLO of mapping is open. 5. Deploy Mapping “MAPPING_1”. 6. Run the mapping and check the result.

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• Attracting publishers to an in-house affiliate program

  - by Steve

  The cost to enter affiliate networks can be prohibitive for (cash-strapped) small business, particularly if they are simply testing the waters of an affiliate program. If such a company wanted to run an affiliate program in-house using off the shelf software, what methods would they use to attract publishers? Is it simply a case of SEO or SEM, attempting to attract publishers to the page on their website which outlines their affiliate program? Are there directories to submit one's affiliate program to?

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• Silverlight for Everyone!!

  - by subodhnpushpak

  Someone asked me to compare Silverlight / HTML development. I realized that the question can be answered in many ways: Below is the high level comparison between a HTML /JavaScript client and Silverlight client and why silverlight was chosen over HTML / JavaScript client (based on type of users and major functionalities provided): 1. For end users Browser compatibility Silverlight is a plug-in and requires installation first. However, it does provides consistent look and feel across all browsers. For HTML / DHTML, there is a need to tweak JavaScript for each of the browser supported. In fact, tags like <span> and <div> works differently on different browser / version. So, HTML works on most of the systems but also requires lot of efforts coding-wise to adhere to all standards/ browsers / versions. Out of browser support No support in HTML. Third party tools like  Google gears offers some functionalities but there are lots of issues around platform and accessibility. Out of box support for out-of-browser support. provides features like drag and drop onto application surface. Cut and copy paste in HTML HTML is displayed in browser; which, in turn provides facilities for cut copy and paste. Silverlight (specially 4) provides rich features for cut-copy-paste along with full control over what can be cut copy pasted by end users and .advanced features like visual tree printing. Rich user experience HTML can provide some rich experience by use of some JavaScript libraries like JQuery. However, extensive use of JavaScript combined with various versions of browsers and the supported JavaScript makes the solution cumbersome. Silverlight is meant for RIA experience. User data storage on client end In HTML only small amount of data can be stored that too in cookies. In Silverlight large data may be stored, that too in secure way. This increases the response time. Post back In HTML / JavaScript the post back can be stopped by use of AJAX. Extensive use of AJAX can be a bottleneck as browser stack is used for the calls. Both look and feel and data travel over network.                           In Silverlight everything run the client side. Calls are made to server ONLY for data; which also reduces network traffic in long run. 2. For Developers Coding effort HTML / JavaScript can take considerable amount to code if features (requirements) are rich. For AJAX like interfaces; knowledge of third party kits like DOJO / Yahoo UI / JQuery is required which has steep learning curve. ASP .Net coding world revolves mostly along <table> tags for alignments whereas most popular tools provide <div> tags; which requires lots of tweaking. AJAX calls can be a bottlenecks for performance, if the calls are many. In Silverlight; coding is in C#, which is managed code. XAML is also very intuitive and Blend can be used to provide look and feel. Event handling is much clean than in JavaScript. Provides for many clean patterns like MVVM and composable application. Each call to server is asynchronous in silverlight. AJAX is in built into silverlight. Threading can be done at the client side itself to provide for better responsiveness; etc. Debugging Debugging in HTML / JavaScript is difficult. As JavaScript is interpreted; there is NO compile time error handling. Debugging in Silverlight is very helpful. As it is compiled; it provides rich features for both compile time and run time error handling. Multi -targeting browsers HTML / JavaScript have different rendering behaviours in different browsers / and their versions. JavaScript have to be written to sublime the differences in browser behaviours. Silverlight works exactly the same in all browsers and works on almost all popular browser. Multi-targeting desktop No support in HTML / JavaScript Silverlight is very close to WPF. Bot the platform may be easily targeted while maintaining the same source code. Rich toolkit HTML /JavaScript have limited toolkit as controls Silverlight provides a rich set of controls including graphs, audio, video, layout, etc. 3. For Architects Design Patterns Silverlight provides for patterns like MVVM (MVC) and rich (fat)  client architecture. This segregates the "separation of concern" very clearly. Client (silverlight) does what it is expected to do and server does what it is expected of. In HTML / JavaScript world most of the processing is done on the server side. Extensibility Silverlight provides great deal of extensibility as custom controls may be made. Extensibility is NOT restricted by browser but by the plug-in silverlight runs in. HTML / JavaScript works in a certain way and extensibility is generally done on the server side rather than client end. Client side is restricted by the limitations of the browser. Performance Silverlight provides localized storage which may be used for cached data storage. this reduces the response time. As processing can be done on client side itself; there is no need for server round trips. this decreases the round about time. Look and feel of the application is downloaded ONLY initially, afterwards ONLY data is fetched form the server. Security Silverlight is compiled code downloaded as .XAP; As compared to HTML / JavaScript, it provides more secure sandboxed approach. Cross - scripting is inherently prohibited in silverlight by default. If proper guidelines are followed silverlight provides much robust security mechanism as against HTML / JavaScript world. For example; knowing server Address in obfuscated JavaScript is easier than a compressed compiled obfuscated silverlight .XAP file. Some of these like (offline and Canvas support) will be available in HTML5. However, the timelines are not encouraging at all. According to Ian Hickson, editor of the HTML5 specification, the specification to reach the W3C Candidate Recommendation stage during 2012, and W3C Recommendation in the year 2022 or later. see http://en.wikipedia.org/wiki/HTML5 for details. The above is MY opinion. I will love to hear yours; do let me know via comments. Technorati Tags: Silverlight

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• Package system broken - E: Sub-process /usr/bin/dpkg returned an error code (1)

  - by delha

  After installing some packages and libraries I have an error on Package Manager, I can't run any update because it says: "The package system is broken If you are using third party repositories then disable them, since they are a common source of problems. Now run the following command in a terminal: apt-get install -f " I've tried to do what it says and it returns me: jara@jara-Aspire-5738:~$ sudo apt-get install -f Reading package lists... Done Building dependency tree Reading state information... Done Correcting dependencies... Done The following packages were automatically installed and are no longer required: libcaca-dev libopencv2.3-bin nite-dev python-bluez ps-engine libslang2-dev python-sphinx ros-electric-geometry-tutorials ros-electric-geometry-visualization python-matplotlib libzzip-dev ros-electric-orocos-kinematics-dynamics ros-electric-physics-ode libbluetooth-dev libaudiofile-dev libassimp2 libnetpbm10-dev ros-electric-laser-pipeline python-epydoc ros-electric-geometry-experimental libasound2-dev evtest python-matplotlib-data libyaml-dev ros-electric-bullet ros-electric-executive-smach ros-electric-documentation libgl2ps0 libncurses5-dev ros-electric-robot-model texlive-fonts-recommended python-lxml libwxgtk2.8-dev daemontools libxxf86vm-dev libqhull-dev libavahi-client-dev ros-electric-geometry libgl2ps-dev libcurl4-openssl-dev assimp-dev libusb-1.0-0-dev libopencv2.3 ros-electric-diagnostics-monitors libsdl1.2-dev libjs-underscore libsdl-image1.2 tipa libusb-dev libtinfo-dev python-tz python-sip libfltk1.1 libesd0 libfreeimage-dev ros-electric-visualization x11proto-xf86vidmode-dev python-docutils libvtk5.6 ros-electric-assimp x11proto-scrnsaver-dev libnetcdf-dev libidn11-dev libeigen3-dev joystick libhdf5-serial-1.8.4 ros-electric-joystick-drivers texlive-fonts-recommended-doc esound-common libesd0-dev tcl8.5-dev ros-electric-multimaster-experimental ros-electric-rx libaudio-dev ros-electric-ros-tutorials libwxbase2.8-dev ros-electric-visualization-common python-sip-dev ros-electric-visualization-tutorials libfltk1.1-dev libpulse-dev libnetpbm10 python-markupsafe openni-dev tk8.5-dev wx2.8-headers freeglut3-dev libavahi-common-dev python-roman python-jinja2 ros-electric-robot-model-visualization libxss-dev libqhull5 libaa1-dev ros-electric-eigen freeglut3 ros-electric-executive-smach-visualization ros-electric-common-tutorials ros-electric-robot-model-tutorials libnetcdf6 libjs-sphinxdoc python-pyparsing libaudiofile0 Use 'apt-get autoremove' to remove them. The following extra packages will be installed: libcv-dev The following NEW packages will be installed libcv-dev 0 upgraded, 1 newly installed, 0 to remove and 4 not upgraded. 2 not fully installed or removed. Need to get 0 B/3,114 kB of archives. After this operation, 11.1 MB of additional disk space will be used. Do you want to continue [Y/n]? y (Reading database ... 261801 files and directories currently installed.) Unpacking libcv-dev (from .../libcv-dev_2.1.0-7build1_amd64.deb) ... dpkg: error processing /var/cache/apt/archives/libcv-dev_2.1.0-7build1_amd64.deb (-- unpack): trying to overwrite '/usr/bin/opencv_haartraining', which is also in package libopencv2.3-bin 2.3.1+svn6514+branch23-12~oneiric dpkg-deb: error: subprocess paste was killed by signal (Broken pipe) Errors were encountered while processing: /var/cache/apt/archives/libcv-dev_2.1.0-7build1_amd64.deb E: Sub-process /usr/bin/dpkg returned an error code (1) I've tried everything people recommend on internet like: sudo apt-get clean sudo apt-get autoremove sudo apt-get update sudo apt-get upgrade sudo apt-get -f install Also I've tried to install the synaptic manager but it doesn't let me install anything.. As you can see nothing works so I'm desperate! I'm using ubuntu 11.10, 64 bits Thanks!!

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• how to set environment variable in eric IDE

  - by ng0323

  I have no problem running a python script from the terminal, but in eric IDE, I am getting this error: ImportError libcudart.so.6.0: cannot open shared object file: No such file or directory Perhaps it's an enviroment variable that needs to be set. In eric, when I run script, I filled in the environment option as follows. I tried set PATH = usr/local/cuda-6.0/bin or PATH = /usr/local/cuda-6.0/bin or just /usr/local/cuda-6.0/bin and they all didn't work.

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• Small Business and Organic SEO - A Win Win Situation

  Small business owners have to run on tiny budgets and that becomes constraint for effective publicity. The online marketing performance also suffers due to this crucial factor. The remedy lies in organic SEO, which efficiently works for the website of small business and supports the placement in higher rankings in search results. It is a win win situation for small business owners.

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• Book &ldquo;Team Foundation Server 2012 Starter&rdquo; published

  - by terje

  During the summer and fall this year, me and my colleague Jakob Ehn has worked together on a book project that has now finally hit the stores! The title of the book is Team Foundation Server 2012 Starter and is published by Packt Publishing. Get it from http://www.packtpub.com/team-foundation-server-2012-starter/book or from Amazon http://www.amazon.com/dp/1849688389                     The book is part of a concept that Packt have with starter-books, intended for people new to Team Foundation Server 2012 and who want a quick guideline to get it up and working.  It covers the fundamentals, from installing and configuring it, and how to use it with source control, work items and builds. It is done as a step-by-step guide, but also includes best practices advice in the different areas. It covers the use of both the on-premises and the TFS Services version. It also has a list of links and references in the end to the most relevant Visual Studio 2012 ALM sites. Our good friend and fellow ALM MVP Mathias Olausson have done the review of the book, thanks again Mathias! We hope the book fills the gap between the different online guide sites and the more advanced books that are out. Book Description Your quick start guide to TFS 2012, top features, and best practices with hands on examples Overview Install TFS 2012 from scratch Get up and running with your first project Streamline release cycles for maximum productivity In Detail Team Foundation Server 2012 is Microsoft's leading ALM tool, integrating source control, work item and process handling, build automation, and testing. This practical "Team Foundation Server 2012 Starter Guide" will provide you with clear step-by-step exercises covering all major aspects of the product. This is essential reading for anyone wishing to set up, organize, and use TFS server. This hands-on guide looks at the top features in Team Foundation Server 2012, starting with a quick installation guide and then moving into using it for your software development projects. Manage your team projects with Team Explorer, one of the many new features for 2012. Covering all the main features in source control to help you work more efficiently, including tools for branching and merging, we will delve into the Agile Planning Tools for planning your product and sprint backlogs. Learn to set up build automation, allowing your team to become faster, more streamlined, and ultimately more productive with this "Team Foundation Server 2012 Starter Guide". What you will learn from this book Install TFS 2012 on premise Access TFS Services in the cloud Quickly get started with a new project with product backlogs, source control, and build automation Work efficiently with source control using the top features Understand how the tools for branching and merging in TFS 2012 help you isolate work and teams Learn about the existing process templates, such as Visual Studio Scrum 2.0 Manage your product and sprint backlogs using the Agile planning tools Approach This Starter guide is a short, sharp introduction to Team Foundation Server 2012, covering everything you need to get up and running. Who this book is written for If you are a developer, project lead, tester, or IT administrator working with Team Foundation Server 2012 this guide will get you up to speed quickly and with minimal effort.

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• CI Deployment Of Azure Web Roles Using TeamCity

  - by srkirkland

  After recently migrating an important new website to use Windows Azure “Web Roles” I wanted an easier way to deploy new versions to the Azure Staging environment as well as a reliable process to rollback deployments to a certain “known good” source control commit checkpoint.  By configuring our JetBrains’ TeamCity CI server to utilize Windows Azure PowerShell cmdlets to create new automated deployments, I’ll show you how to take control of your Azure publish process. Step 0: Configuring your Azure Project in Visual Studio Before we can start looking at automating the deployment, we should make sure manual deployments from Visual Studio are working properly.  Detailed information for setting up deployments can be found at http://msdn.microsoft.com/en-us/library/windowsazure/ff683672.aspx#PublishAzure or by doing some quick Googling, but the basics are as follows: Install the prerequisite Windows Azure SDK Create an Azure project by right-clicking on your web project and choosing “Add Windows Azure Cloud Service Project” (or by manually adding that project type) Configure your Role and Service Configuration/Definition as desired Right-click on your azure project and choose “Publish,” create a publish profile, and push to your web role You don’t actually have to do step #4 and create a publish profile, but it’s a good exercise to make sure everything is working properly.  Once your Windows Azure project is setup correctly, we are ready to move on to understanding the Azure Publish process. Understanding the Azure Publish Process The actual Windows Azure project is fairly simple at its core—it builds your dependent roles (in our case, a web role) against a specific service and build configuration, and outputs two files: ServiceConfiguration.Cloud.cscfg: This is just the file containing your package configuration info, for example Instance Count, OsFamily, ConnectionString and other Setting information. ProjectName.Azure.cspkg: This is the package file that contains the guts of your deployment, including all deployable files. When you package your Azure project, these two files will be created within the directory ./[ProjectName].Azure/bin/[ConfigName]/app.publish/.  If you want to build your Azure Project from the command line, it’s as simple as calling MSBuild on the “Publish” target: msbuild.exe /target:Publish Windows Azure PowerShell Cmdlets The last pieces of the puzzle that make CI automation possible are the Azure PowerShell Cmdlets (http://msdn.microsoft.com/en-us/library/windowsazure/jj156055.aspx).  These cmdlets are what will let us create deployments without Visual Studio or other user intervention. Preparing TeamCity for Azure Deployments Now we are ready to get our TeamCity server setup so it can build and deploy Windows Azure projects, which we now know requires the Azure SDK and the Windows Azure PowerShell Cmdlets. Installing the Azure SDK is easy enough, just go to https://www.windowsazure.com/en-us/develop/net/ and click “Install” Once this SDK is installed, I recommend running a test build to make sure your project is building correctly.  You’ll want to setup your build step using MSBuild with the “Publish” target against your solution file.  Mine looks like this: Assuming the build was successful, you will now have the two *.cspkg and *cscfg files within your build directory.  If the build was red (failed), take a look at the build logs and keep an eye out for “unsupported project type” or other build errors, which will need to be addressed before the CI deployment can be completed. With a successful build we are now ready to install and configure the Windows Azure PowerShell Cmdlets: Follow the instructions at http://msdn.microsoft.com/en-us/library/windowsazure/jj554332 to install the Cmdlets and configure PowerShell After installing the Cmdlets, you’ll need to get your Azure Subscription Info using the Get-AzurePublishSettingsFile command. Store the resulting *.publishsettings file somewhere you can get to easily, like C:\TeamCity, because you will need to reference it later from your deploy script. Scripting the CI Deploy Process Now that the cmdlets are installed on our TeamCity server, we are ready to script the actual deployment using a TeamCity “PowerShell” build runner.  Before we look at any code, here’s a breakdown of our deployment algorithm: Setup your variables, including the location of the *.cspkg and *cscfg files produced in the earlier MSBuild step (remember, the folder is something like [ProjectName].Azure/bin/[ConfigName]/app.publish/ Import the Windows Azure PowerShell Cmdlets Import and set your Azure Subscription information (this is basically your authentication/authorization step, so protect your settings file Now look for a current deployment, and if you find one Upgrade it, else Create a new deployment Pretty simple and straightforward.  Now let’s look at the code (also available as a gist here: https://gist.github.com/3694398): $subscription = "[Your Subscription Name]" $service = "[Your Azure Service Name]" $slot = "staging" #staging or production $package = "[ProjectName]\bin\[BuildConfigName]\app.publish\[ProjectName].cspkg" $configuration = "[ProjectName]\bin\[BuildConfigName]\app.publish\ServiceConfiguration.Cloud.cscfg" $timeStampFormat = "g" $deploymentLabel = "ContinuousDeploy to $service v%build.number%"   Write-Output "Running Azure Imports" Import-Module "C:\Program Files (x86)\Microsoft SDKs\Windows Azure\PowerShell\Azure\*.psd1" Import-AzurePublishSettingsFile "C:\TeamCity\[PSFileName].publishsettings" Set-AzureSubscription -CurrentStorageAccount $service -SubscriptionName $subscription   function Publish(){ $deployment = Get-AzureDeployment -ServiceName $service -Slot $slot -ErrorVariable a -ErrorAction silentlycontinue   if ($a[0] -ne $null) { Write-Output "$(Get-Date -f $timeStampFormat) - No deployment is detected. Creating a new deployment. " } if ($deployment.Name -ne $null) { #Update deployment inplace (usually faster, cheaper, won't destroy VIP) Write-Output "$(Get-Date -f $timeStampFormat) - Deployment exists in $servicename. Upgrading deployment." UpgradeDeployment } else { CreateNewDeployment } }   function CreateNewDeployment() { write-progress -id 3 -activity "Creating New Deployment" -Status "In progress" Write-Output "$(Get-Date -f $timeStampFormat) - Creating New Deployment: In progress"   $opstat = New-AzureDeployment -Slot $slot -Package $package -Configuration $configuration -label $deploymentLabel -ServiceName $service   $completeDeployment = Get-AzureDeployment -ServiceName $service -Slot $slot $completeDeploymentID = $completeDeployment.deploymentid   write-progress -id 3 -activity "Creating New Deployment" -completed -Status "Complete" Write-Output "$(Get-Date -f $timeStampFormat) - Creating New Deployment: Complete, Deployment ID: $completeDeploymentID" }   function UpgradeDeployment() { write-progress -id 3 -activity "Upgrading Deployment" -Status "In progress" Write-Output "$(Get-Date -f $timeStampFormat) - Upgrading Deployment: In progress"   # perform Update-Deployment $setdeployment = Set-AzureDeployment -Upgrade -Slot $slot -Package $package -Configuration $configuration -label $deploymentLabel -ServiceName $service -Force   $completeDeployment = Get-AzureDeployment -ServiceName $service -Slot $slot $completeDeploymentID = $completeDeployment.deploymentid   write-progress -id 3 -activity "Upgrading Deployment" -completed -Status "Complete" Write-Output "$(Get-Date -f $timeStampFormat) - Upgrading Deployment: Complete, Deployment ID: $completeDeploymentID" }   Write-Output "Create Azure Deployment" Publish   Creating the TeamCity Build Step The only thing left is to create a second build step, after your MSBuild “Publish” step, with the build runner type “PowerShell”.  Then set your script to “Source Code,” the script execution mode to “Put script into PowerShell stdin with “-Command” arguments” and then copy/paste in the above script (replacing the placeholder sections with your values).  This should look like the following:   Wrap Up After combining the MSBuild /target:Publish step (which creates the necessary Windows Azure *.cspkg and *.cscfg files) and a PowerShell script step which utilizes the Azure PowerShell Cmdlets, we have a fully deployable build configuration in TeamCity.  You can configure this step to run whenever you’d like using build triggers – for example, you could even deploy whenever a new master branch deploy comes in and passes all required tests. In the script I’ve hardcoded that every deployment goes to the Staging environment on Azure, but you could deploy straight to Production if you want to, or even setup a deployment configuration variable and set it as desired. After your TeamCity Build Configuration is complete, you’ll see something that looks like this: Whenever you click the “Run” button, all of your code will be compiled, published, and deployed to Windows Azure! One additional enormous benefit of automating the process this way is that you can easily deploy any specific source control changeset by clicking the little ellipsis button next to "Run.”  This will bring up a dialog like the one below, where you can select the last change to use for your deployment.  Since Azure Web Role deployments don’t have any rollback functionality, this is a critical feature.   Enjoy!

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• Using TPL and PLINQ to raise performance of feed aggregator

  - by DigiMortal

  In this posting I will show you how to use Task Parallel Library (TPL) and PLINQ features to boost performance of simple RSS-feed aggregator. I will use here only very basic .NET classes that almost every developer starts from when learning parallel programming. Of course, we will also measure how every optimization affects performance of feed aggregator. Feed aggregator Our feed aggregator works as follows: Load list of blogs Download RSS-feed Parse feed XML Add new posts to database Our feed aggregator is run by task scheduler after every 15 minutes by example. We will start our journey with serial implementation of feed aggregator. Second step is to use task parallelism and parallelize feeds downloading and parsing. And our last step is to use data parallelism to parallelize database operations. We will use Stopwatch class to measure how much time it takes for aggregator to download and insert all posts from all registered blogs. After every run we empty posts table in database. Serial aggregation Before doing parallel stuff let’s take a look at serial implementation of feed aggregator. All tasks happen one after other. internal class FeedClient {     private readonly INewsService _newsService;     private const int FeedItemContentMaxLength = 255;       public FeedClient()     {          ObjectFactory.Initialize(container =>          {              container.PullConfigurationFromAppConfig = true;          });           _newsService = ObjectFactory.GetInstance<INewsService>();     }       public void Execute()     {         var blogs = _newsService.ListPublishedBlogs();           for (var index = 0; index <blogs.Count; index++)         {              ImportFeed(blogs[index]);         }     }       private void ImportFeed(BlogDto blog)     {         if(blog == null)             return;         if (string.IsNullOrEmpty(blog.RssUrl))             return;           var uri = new Uri(blog.RssUrl);         SyndicationContentFormat feedFormat;           feedFormat = SyndicationDiscoveryUtility.SyndicationContentFormatGet(uri);           if (feedFormat == SyndicationContentFormat.Rss)             ImportRssFeed(blog);         if (feedFormat == SyndicationContentFormat.Atom)             ImportAtomFeed(blog);                 }       private void ImportRssFeed(BlogDto blog)     {         var uri = new Uri(blog.RssUrl);         var feed = RssFeed.Create(uri);           foreach (var item in feed.Channel.Items)         {             SaveRssFeedItem(item, blog.Id, blog.CreatedById);         }     }       private void ImportAtomFeed(BlogDto blog)     {         var uri = new Uri(blog.RssUrl);         var feed = AtomFeed.Create(uri);           foreach (var item in feed.Entries)         {             SaveAtomFeedEntry(item, blog.Id, blog.CreatedById);         }     } } Serial implementation of feed aggregator downloads and inserts all posts with 25.46 seconds. Task parallelism Task parallelism means that separate tasks are run in parallel. You can find out more about task parallelism from MSDN page Task Parallelism (Task Parallel Library) and Wikipedia page Task parallelism. Although finding parts of code that can run safely in parallel without synchronization issues is not easy task we are lucky this time. Feeds import and parsing is perfect candidate for parallel tasks. We can safely parallelize feeds import because importing tasks doesn’t share any resources and therefore they don’t also need any synchronization. After getting the list of blogs we iterate through the collection and start new TPL task for each blog feed aggregation. internal class FeedClient {     private readonly INewsService _newsService;     private const int FeedItemContentMaxLength = 255;       public FeedClient()     {          ObjectFactory.Initialize(container =>          {              container.PullConfigurationFromAppConfig = true;          });           _newsService = ObjectFactory.GetInstance<INewsService>();     }       public void Execute()     {         var blogs = _newsService.ListPublishedBlogs();                var tasks = new Task[blogs.Count];           for (var index = 0; index <blogs.Count; index++)         {             tasks[index] = new Task(ImportFeed, blogs[index]);             tasks[index].Start();         }           Task.WaitAll(tasks);     }       private void ImportFeed(object blogObject)     {         if(blogObject == null)             return;         var blog = (BlogDto)blogObject;         if (string.IsNullOrEmpty(blog.RssUrl))             return;           var uri = new Uri(blog.RssUrl);         SyndicationContentFormat feedFormat;           feedFormat = SyndicationDiscoveryUtility.SyndicationContentFormatGet(uri);           if (feedFormat == SyndicationContentFormat.Rss)             ImportRssFeed(blog);         if (feedFormat == SyndicationContentFormat.Atom)             ImportAtomFeed(blog);                }       private void ImportRssFeed(BlogDto blog)     {          var uri = new Uri(blog.RssUrl);          var feed = RssFeed.Create(uri);           foreach (var item in feed.Channel.Items)          {              SaveRssFeedItem(item, blog.Id, blog.CreatedById);          }     }     private void ImportAtomFeed(BlogDto blog)     {         var uri = new Uri(blog.RssUrl);         var feed = AtomFeed.Create(uri);           foreach (var item in feed.Entries)         {             SaveAtomFeedEntry(item, blog.Id, blog.CreatedById);         }     } } You should notice first signs of the power of TPL. We made only minor changes to our code to parallelize blog feeds aggregating. On my machine this modification gives some performance boost – time is now 17.57 seconds. Data parallelism There is one more way how to parallelize activities. Previous section introduced task or operation based parallelism, this section introduces data based parallelism. By MSDN page Data Parallelism (Task Parallel Library) data parallelism refers to scenario in which the same operation is performed concurrently on elements in a source collection or array. In our code we have independent collections we can process in parallel – imported feed entries. As checking for feed entry existence and inserting it if it is missing from database doesn’t affect other entries the imported feed entries collection is ideal candidate for parallelization. internal class FeedClient {     private readonly INewsService _newsService;     private const int FeedItemContentMaxLength = 255;       public FeedClient()     {          ObjectFactory.Initialize(container =>          {              container.PullConfigurationFromAppConfig = true;          });           _newsService = ObjectFactory.GetInstance<INewsService>();     }       public void Execute()     {         var blogs = _newsService.ListPublishedBlogs();                var tasks = new Task[blogs.Count];           for (var index = 0; index <blogs.Count; index++)         {             tasks[index] = new Task(ImportFeed, blogs[index]);             tasks[index].Start();         }           Task.WaitAll(tasks);     }       private void ImportFeed(object blogObject)     {         if(blogObject == null)             return;         var blog = (BlogDto)blogObject;         if (string.IsNullOrEmpty(blog.RssUrl))             return;           var uri = new Uri(blog.RssUrl);         SyndicationContentFormat feedFormat;           feedFormat = SyndicationDiscoveryUtility.SyndicationContentFormatGet(uri);           if (feedFormat == SyndicationContentFormat.Rss)             ImportRssFeed(blog);         if (feedFormat == SyndicationContentFormat.Atom)             ImportAtomFeed(blog);                }       private void ImportRssFeed(BlogDto blog)     {         var uri = new Uri(blog.RssUrl);         var feed = RssFeed.Create(uri);           feed.Channel.Items.AsParallel().ForAll(a =>         {             SaveRssFeedItem(a, blog.Id, blog.CreatedById);         });      }        private void ImportAtomFeed(BlogDto blog)      {         var uri = new Uri(blog.RssUrl);         var feed = AtomFeed.Create(uri);           feed.Entries.AsParallel().ForAll(a =>         {              SaveAtomFeedEntry(a, blog.Id, blog.CreatedById);         });      } } We did small change again and as the result we parallelized checking and saving of feed items. This change was data centric as we applied same operation to all elements in collection. On my machine I got better performance again. Time is now 11.22 seconds. Results Let’s visualize our measurement results (numbers are given in seconds). As we can see then with task parallelism feed aggregation takes about 25% less time than in original case. When adding data parallelism to task parallelism our aggregation takes about 2.3 times less time than in original case. More about TPL and PLINQ Adding parallelism to your application can be very challenging task. You have to carefully find out parts of your code where you can safely go to parallel processing and even then you have to measure the effects of parallel processing to find out if parallel code performs better. If you are not careful then troubles you will face later are worse than ones you have seen before (imagine error that occurs by average only once per 10000 code runs). Parallel programming is something that is hard to ignore. Effective programs are able to use multiple cores of processors. Using TPL you can also set degree of parallelism so your application doesn’t use all computing cores and leaves one or more of them free for host system and other processes. And there are many more things in TPL that make it easier for you to start and go on with parallel programming. In next major version all .NET languages will have built-in support for parallel programming. There will be also new language constructs that support parallel programming. Currently you can download Visual Studio Async to get some idea about what is coming. Conclusion Parallel programming is very challenging but good tools offered by Visual Studio and .NET Framework make it way easier for us. In this posting we started with feed aggregator that imports feed items on serial mode. With two steps we parallelized feed importing and entries inserting gaining 2.3 times raise in performance. Although this number is specific to my test environment it shows clearly that parallel programming may raise the performance of your application significantly.

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• Eclipse Crashes on Ubuntu 11.10

  - by Adrian Matteo

  I'm using Eclipse Indigo with aptana, to develope a rails application and it was working fine, but now it keeps crashing on startup. It opens and when the loading bars appear on the status bar, it goes gray (not responding) and the in closes without an error. Here is the output from the terminal when I ran it from there: (Eclipse:7391): Gtk-WARNING **: Unable to locate theme engine in module_path: "pixmap", (Eclipse:7391): Gtk-WARNING **: Unable to locate theme engine in module_path: "pixmap", (Eclipse:7391): Gtk-WARNING **: Unable to locate theme engine in module_path: "pixmap", (Eclipse:7391): Gtk-WARNING **: Unable to locate theme engine in module_path: "pixmap", 2012-05-27 16:05:58.272::INFO: Logging to STDERR via org.mortbay.log.StdErrLog 2012-05-27 16:06:00.586::INFO: jetty-6.1.11 2012-05-27 16:06:00.743::INFO: Started [email protected]:8500 2012-05-27 16:06:00.744::INFO: Started [email protected]:8600 2012-05-27 16:06:01.999::INFO: jetty-6.1.11 2012-05-27 16:06:01.029::INFO: Opened /tmp/jetty_preview_server.log 2012-05-27 16:06:01.046::INFO: Started [email protected]:8000 2012-05-27 16:06:01.071::INFO: jetty-6.1.11 2012-05-27 16:06:01.016::INFO: Started [email protected]:8300 ** (Eclipse:7391): DEBUG: NP_Initialize ** (Eclipse:7391): DEBUG: NP_Initialize succeeded No bp log location saved, using default. [000:000] Browser XEmbed support present: 1 [000:000] Browser toolkit is Gtk2. [000:001] Using Gtk2 toolkit ERROR: Invalid browser function table. Some functionality may be restricted. [000:056] Warning(optionsfile.cc:47): Load: Could not open file, err=2 [000:056] No bp log location saved, using default. [000:056] Browser XEmbed support present: 1 [000:056] Browser toolkit is Gtk2. [000:056] Using Gtk2 toolkit ** (Eclipse:7391): DEBUG: NP_Initialize ** (Eclipse:7391): DEBUG: NP_Initialize succeeded ** (Eclipse:7391): DEBUG: NP_Initialize ** (Eclipse:7391): DEBUG: NP_Initialize succeeded ** (Eclipse:7391): DEBUG: NP_Initialize ** (Eclipse:7391): DEBUG: NP_Initialize succeeded java version "1.6.0_23" OpenJDK Runtime Environment (IcedTea6 1.11pre) (6b23~pre11-0ubuntu1.11.10.2) OpenJDK 64-Bit Server VM (build 20.0-b11, mixed mode) java.io.FileNotFoundException: /home/amatteo/.eclipse/org.eclipse.platform_3.7.0_155965261/configuration/portal.1.2.7.024747/aptana/favicon.ico (No such file or directory) at java.io.FileInputStream.open(Native Method) at java.io.FileInputStream.<init>(FileInputStream.java:120) at com.aptana.ide.server.jetty.ResourceBaseServlet.doGet(ResourceBaseServlet.java:136) at javax.servlet.http.HttpServlet.service(HttpServlet.java:707) at javax.servlet.http.HttpServlet.service(HttpServlet.java:820) at org.mortbay.jetty.servlet.ServletHolder.handle(ServletHolder.java:487) at org.mortbay.jetty.servlet.ServletHandler.handle(ServletHandler.java:362) at org.mortbay.jetty.servlet.SessionHandler.handle(SessionHandler.java:181) at org.mortbay.jetty.handler.ContextHandler.handle(ContextHandler.java:729) at org.mortbay.jetty.handler.HandlerWrapper.handle(HandlerWrapper.java:152) at org.mortbay.jetty.Server.handle(Server.java:324) at org.mortbay.jetty.HttpConnection.handleRequest(HttpConnection.java:505) at org.mortbay.jetty.HttpConnection$RequestHandler.headerComplete(HttpConnection.java:829) at org.mortbay.jetty.HttpParser.parseNext(HttpParser.java:513) at org.mortbay.jetty.HttpParser.parseAvailable(HttpParser.java:211) at org.mortbay.jetty.HttpConnection.handle(HttpConnection.java:380) at org.mortbay.jetty.bio.SocketConnector$Connection.run(SocketConnector.java:228) at org.mortbay.thread.QueuedThreadPool$PoolThread.run(QueuedThreadPool.java:488) 2012-05-27 16:06:03.277::WARN: /favicon.ico: java.io.IOException: /home/amatteo/.eclipse/org.eclipse.platform_3.7.0_155965261/configuration/portal.1.2.7.024747/aptana/favicon.ico (No such file or directory) It was working perfectly till a few days ago!

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• Issues running commands

  - by Joel

  Every time I run a command I get this back. E: Could not open lock file /var/lib/apt/lists/lock - open (13: Permission denied) E: Unable to lock directory /var/lib/apt/lists/ E: Could not open lock file /var/lib/dpkg/lock - open (13: Permission denied) E: Unable to lock the administration directory (/var/lib/dpkg/), are you root? christopher@christopher:~$ This didn't start happening until I changed my device name.

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• Shortcomings of using dynamic types in C#

  - by Karthik Sreenivasan

  I have been recently studying more on the dynamic types in C#. With some examples I understood once the code is compiled, it does not need to be recompiled again but can be executed directly. I feel the flexibility provided by the keyword to actually be able to change data type at will is a great advantage. Question, Are there any specific shortcomings apart from wrong dynamic method calls which throw run time exceptions which developers must know before starting the implementation.

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• How to check if a Webcam is broken?

  - by user84812

  I just bought an Acer Aspire 3830TG, it comes with an integrated 1.3M HD Webcam. Before buying it i tried with a bootable Lubuntu usb stick, everything worked well except for the webcam, which i thought I had to tweak. The thing is that it seems the camera should work with no problems in ubuntu. The driver is detected, I try dmesg | grep uvcvideo and the output is [ 12.226174] uvcvideo: Found UVC 1.00 device 1.3M HD WebCam (058f:b002) [ 12.245553] usbcore: registered new interface driver uvcvideo I've also tried using different software (guvcview is black when camera output is MJPG and turns to funny colors when YU12 or YV12, cheese is always black, camorama is always with funny colors...). I should have checked that it was working properly with the default os (windows) but now it's too late for that. I even booted with a official Ubuntu Quantal distro from the usb pen, and the results are the same. so, my question is: is there any way to check that the camera is righmt or broken? So, if it's broken, at least i can go to the shop, show them that it's really broken and get an external webcam for free, or st like that. cheers. UPDATE 1 Thanks, jrp. I run sudo lsinput, and the output info about my video is the following: /dev/input/event6 bustype : BUS_USB vendor : 0x58f product : 0xb002 version : 2 name : "1.3M HD WebCam" phys : "usb-0000:00:1a.0-1.3/button" bits ev : EV_SYN EV_KEY /dev/input/event7 bustype : BUS_HOST vendor : 0x0 product : 0x6 version : 0 name : "Video Bus" phys : "LNXVIDEO/video/input0" bits ev : EV_SYN EV_KEY With this info, i'm not pretty sure about running the luvcview command. If I run luvcview -d /dev/video0 -L, the output is the following: SDL information: Video driver: x11 A window manager is available Device information: Device path: /dev/video0 { pixelformat = 'YUYV', description = 'YUV 4:2:2 (YUYV)' } { discrete: width = 640, height = 480 } Time interval between frame: 1/30, 1/25, 1/20, 1/15, 1/10, 1/5, { discrete: width = 160, height = 120 } Time interval between frame: 1/30, 1/25, 1/20, 1/15, 1/10, 1/5, { discrete: width = 176, height = 144 } Time interval between frame: 1/30, 1/25, 1/20, 1/15, 1/10, 1/5, { discrete: width = 320, height = 240 } Time interval between frame: 1/30, 1/25, 1/20, 1/15, 1/10, 1/5, { discrete: width = 352, height = 288 } Time interval between frame: 1/30, 1/25, 1/20, 1/15, 1/10, 1/5, { discrete: width = 1280, height = 720 } Time interval between frame: 1/7, 1/5, { discrete: width = 1280, height = 800 } Time interval between frame: 1/7, 1/5, { discrete: width = 1280, height = 960 } Time interval between frame: 1/7, 1/5, { discrete: width = 1280, height = 1024 } Time interval between frame: 1/7, 1/5, { pixelformat = 'MJPG', description = 'MJPEG' } { discrete: width = 640, height = 480 } Time interval between frame: 1/30, 1/25, 1/20, 1/15, 1/10, 1/5, { discrete: width = 160, height = 120 } Time interval between frame: 1/30, 1/25, 1/20, 1/15, 1/10, 1/5, { discrete: width = 176, height = 144 } Time interval between frame: 1/30, 1/25, 1/20, 1/15, 1/10, 1/5, { discrete: width = 320, height = 240 } Time interval between frame: 1/30, 1/25, 1/20, 1/15, 1/10, 1/5, { discrete: width = 352, height = 288 } Time interval between frame: 1/30, 1/25, 1/20, 1/15, 1/10, 1/5, { discrete: width = 1280, height = 720 } Time interval between frame: 1/30, 1/25, 1/20, 1/15, 1/10, 1/5, { discrete: width = 1280, height = 800 } Time interval between frame: 1/15, 1/10, 1/5, { discrete: width = 1280, height = 960 } Time interval between frame: 1/15, 1/10, 1/5, { discrete: width = 1280, height = 1024 } Time interval between frame: 1/15, 1/10, 1/5, { pixelformat = 'RGB3', description = 'RGB3' } { discrete: width = 640, height = 480 } Time interval between frame: 1/30, 1/25, 1/20, 1/15, 1/10, 1/5, { discrete: width = 160, height = 120 } Time interval between frame: 1/30, 1/25, 1/20, 1/15, 1/10, 1/5, { discrete: width = 176, height = 144 } Time interval between frame: 1/30, 1/25, 1/20, 1/15, 1/10, 1/5, { discrete: width = 320, height = 240 } Time interval between frame: 1/30, 1/25, 1/20, 1/15, 1/10, 1/5, { discrete: width = 352, height = 288 } Time interval between frame: 1/30, 1/25, 1/20, 1/15, 1/10, 1/5, { discrete: width = 1280, height = 720 } Time interval between frame: 1/30, 1/25, 1/20, 1/15, 1/10, 1/5, { discrete: width = 1280, height = 800 } Time interval between frame: 1/15, 1/10, 1/5, { discrete: width = 1280, height = 960 } Time interval between frame: 1/15, 1/10, 1/5, { discrete: width = 1280, height = 1024 } Time interval between frame: 1/15, 1/10, 1/5, { pixelformat = 'BGR3', description = 'BGR3' } { discrete: width = 640, height = 480 } Time interval between frame: 1/30, 1/25, 1/20, 1/15, 1/10, 1/5, { discrete: width = 160, height = 120 } Time interval between frame: 1/30, 1/25, 1/20, 1/15, 1/10, 1/5, { discrete: width = 176, height = 144 } Time interval between frame: 1/30, 1/25, 1/20, 1/15, 1/10, 1/5, { discrete: width = 320, height = 240 } Time interval between frame: 1/30, 1/25, 1/20, 1/15, 1/10, 1/5, { discrete: width = 352, height = 288 } Time interval between frame: 1/30, 1/25, 1/20, 1/15, 1/10, 1/5, { discrete: width = 1280, height = 720 } Time interval between frame: 1/30, 1/25, 1/20, 1/15, 1/10, 1/5, { discrete: width = 1280, height = 800 } Time interval between frame: 1/15, 1/10, 1/5, { discrete: width = 1280, height = 960 } Time interval between frame: 1/15, 1/10, 1/5, { discrete: width = 1280, height = 1024 } Time interval between frame: 1/15, 1/10, 1/5, { pixelformat = 'YU12', description = 'YU12' } { discrete: width = 640, height = 480 } Time interval between frame: 1/30, 1/25, 1/20, 1/15, 1/10, 1/5, { discrete: width = 160, height = 120 } Time interval between frame: 1/30, 1/25, 1/20, 1/15, 1/10, 1/5, { discrete: width = 176, height = 144 } Time interval between frame: 1/30, 1/25, 1/20, 1/15, 1/10, 1/5, { discrete: width = 320, height = 240 } Time interval between frame: 1/30, 1/25, 1/20, 1/15, 1/10, 1/5, { discrete: width = 352, height = 288 } Time interval between frame: 1/30, 1/25, 1/20, 1/15, 1/10, 1/5, { discrete: width = 1280, height = 720 } Time interval between frame: 1/30, 1/25, 1/20, 1/15, 1/10, 1/5, { discrete: width = 1280, height = 800 } Time interval between frame: 1/15, 1/10, 1/5, { discrete: width = 1280, height = 960 } Time interval between frame: 1/15, 1/10, 1/5, { discrete: width = 1280, height = 1024 } Time interval between frame: 1/15, 1/10, 1/5, { pixelformat = 'YV12', description = 'YV12' } { discrete: width = 640, height = 480 } Time interval between frame: 1/30, 1/25, 1/20, 1/15, 1/10, 1/5, { discrete: width = 160, height = 120 } Time interval between frame: 1/30, 1/25, 1/20, 1/15, 1/10, 1/5, { discrete: width = 176, height = 144 } Time interval between frame: 1/30, 1/25, 1/20, 1/15, 1/10, 1/5, { discrete: width = 320, height = 240 } Time interval between frame: 1/30, 1/25, 1/20, 1/15, 1/10, 1/5, { discrete: width = 352, height = 288 } Time interval between frame: 1/30, 1/25, 1/20, 1/15, 1/10, 1/5, { discrete: width = 1280, height = 720 } Time interval between frame: 1/30, 1/25, 1/20, 1/15, 1/10, 1/5, { discrete: width = 1280, height = 800 } Time interval between frame: 1/15, 1/10, 1/5, { discrete: width = 1280, height = 960 } Time interval between frame: 1/15, 1/10, 1/5, { discrete: width = 1280, height = 1024 } Time interval between frame: 1/15, 1/10, 1/5, if i run luvcview by itself, the image is funny (blue and red colors, mainly, with myself in negative state). tx

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• How does a website latency simulator work

  - by nighthawk457

  Sites like webpagetest allow users to enter a website url and a test location, to run a speed test on the site from multiple locations using real browsers. Can anyone give me a basic idea of how sites like this work? You also have plugin's like Aptimize latency simulator or charles web debugging proxy app, that simulate the delay while accessing a site from different locations. I am assuming since these are plugin's these function in a different way. How do these plugin's work ?

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• Google I/O 2011: High-performance GWT: best practices for writing smaller, faster apps

  Google I/O 2011: High-performance GWT: best practices for writing smaller, faster apps David Chandler The GWT compiler isn't just a Java to JavaScript transliterator. In this session, we'll show you compiler optimizations to shrink your app and make it compile and run faster. Learn common performance pitfalls, how to use lightweight cell widgets, how to use code splitting with Activities and Places, and compiler options to reduce your app's size and compile time. From: GoogleDevelopers Views: 4791 21 ratings Time: 01:01:32 More in Science & Technology

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• Develop DBA skills with MySQL for Database Administrators course

  - by Antoinette O'Sullivan

  MySQL is the world's number one open source database and the number one database for the Web. Join top companies by developing your MySQL Database Administrator skills. The MySQL for Database Administrators course is for DBAs and other database professionals who want to install the MySQL Server, set up replication and security, perform database backups and performance tuning, and protect MySQL databases. You can take this 5 day course as Training on Demand: Start training within 24 hours of registration. You will follow the lecture material via streaming video and perform hands-on activities at a date and time that suits you. Live-Virtual Event:  Take this instructor-led course from your own desk. Choose from the 19 events currently on the schedule and find an event that suits you in terms of timezone and date. In-Class Event: Travel to an education center. Here is a sample of events on the schedule:    Location  Date  Delivery Language  Mechelen, Belgium  25 February 2013  English  London, England  26 November 2012  English  Nice, France  3 December 2012  French  Paris, France  11 February 2013  French  Budapest, Hungary  26 November 2012  Hungarian  Belfast, Ireland  24 June 2013  English  Milan, Italy  14 January 2013  Japanese  Rome, Italy  18 February 2013  Japanese  Amsterdam, Netherlands  24 June 2013  Dutch  Nieuwegein, Netherlands  8 April 2013  Dutch  Warsaw, Poland  10 December 2012  Polish  Lisbon, Portugal  21 January 2013  European Portugese  Porto, Portugal  21 January 2013  European Portugese  Barcelona, Spain  4 February 2013  Spanish  Madrid, Spain  21 January 2013  Spanish  Nairobi, Kenya  26 November 2012  English  Johannesburg, South Africa  9 December 2013  English  Tokyo, Japan  10 December 2012  Japanese  Singapore  28 January 2013  English  Brisbane, Australia  10 December 2012  English  Edmonton, Canada  7 January 2013  English  Montreal, Canada  28 January 2013  English  Ottawa, Canada  28 January 2013  English  Toronto, Canada  28 January 2013  English  Vancouver, Canada  7 January 2013  English  Mexico City, Mexico  10 December 2012  Spanish  Sao Paolo, Brazil  10 December 2012  Brazilian Portugese For more information on this course or on other courses on the authentic MySQL Curriculum, go to http://oracle.com/education/mysql. Note, many organizations deploy both Oracle Database and MySQL side by side to serve different needs, and as a database professional you can find training courses on both topics at Oracle University! Check out the upcoming Oracle Database training courses and MySQL training courses. Even if you're only managing Oracle Databases at this point of time, getting familiar with MySQL will broaden your career path with growing job demand.

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• Android landscape mod game.

  - by davidv

  I am beginner in android game development. I want my game to run only in landscape fullscreen mod (currently I have Optimus 2X with resolution 800x480 in landscape), and I dont know how to set it. I found the fullscreen mod settings, and tried some landscape mod (set orientation:landscape in AndroidManifest), but the game is now crashing and its very unstable (eg. when i change phone orientation). So is there any way to do that? Thank you for help.

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