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• Is SugarCRM really adequate for custom development (or adequate at all)? [closed]

  - by dukeofgaming

  Have you used SugarCRM for custom development successfully?, if so, have you done it programmatically or through the Module Builder? Were you successful? If not, why? I used SugarCRM for a project about two years ago, I ran into errors from the very installation, having to hack the actual installation file to deploy the software in the server and other erros that I can't recall now. Two years after, I'm picking it up for a project once again. I'm feeling like I should have developed the whole thing from scratch myself. Some examples: I couldn't install it in the server (again). I had to install it locally, then copy the files and database over to the server and manually edit the config file. Constantly getting deployment errors from the module builder. One reason is SugarCRM keeps creating a record in the upgrade_history table for a file that does not exist, I keep deleting such record and it keeps coming back corrupt. I get other deployment errors, but have not figured them out. then I have to rollback all files and database to try again. I deleted a custom module with relationships, the relationships stayed in the other modules and cannot be deleted anymore, PHP warnings all over the place. Quick create for custom modules does not appear, hack needed. Its whole cache directory is a joke, permanent data/files are stored there. The module builder interface disappears required fields. Edit the wrong thing, module builder won't deploy again, then pray Quick Repair and/or Rebuild Relationships do the trick. My impression of SugarCRM now is that, regardless of its pretty exterior and apparent functionality, it is a very low quality piece of software. This even scared me more: http://amplicate.com/hate/sugarcrm; a quote: I wis this info had been available when I tried to implement it 2 years ago... I searched high and low and the only info I found was positive. Yes, it's a piece of crap. The community edition was full of bugs... nothing worked. Essentially I got fired for implementing it. I'm glad though, because now I work for myself, am much happier and make more money... so, I should really thank SugarCRM for sucking so much I guess! I figured that perhaps some of you have had similar experiences, and have either sticked with SugarCRM or moved on to another solution. I'm very interested in knowing what your resolutions were -or your current situations are- to make up my own mind, since the project I'm working on is long term and I'm feeling SugarCRM will be more an obstacle than an aid. After further failed attempts to continue using this software I continued to stumble upon dead-ends when using the module editor, I could only recover from this errors by using version control. We are now moving on to a custom implementation using Symfony; perhaps if we were using it with its out-of-the-box modules we would have sticked with it.

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• Why Is Faulty Behaviour In The .NET Framework Not Fixed?

  - by Alois Kraus

  Here is the scenario: You have a Windows Form Application that calls a method via Invoke or BeginInvoke which throws exceptions. Now you want to find out where the error did occur and how the method has been called. Here is the output we do get when we call Begin/EndInvoke or simply Invoke The actual code that was executed was like this:         private void cInvoke_Click(object sender, EventArgs e)         {             InvokingFunction(CallMode.Invoke);         }            [MethodImpl(MethodImplOptions.NoInlining)]         void InvokingFunction(CallMode mode)         {             switch (mode)             {                 case CallMode.Invoke:                     this.Invoke(new MethodInvoker(GenerateError));   The faulting method is called GenerateError which does throw a NotImplementedException exception and wraps it in a NotSupportedException.           [MethodImpl(MethodImplOptions.NoInlining)]         void GenerateError()         {             F1();         }           private void F1()         {             try             {                 F2();             }             catch (Exception ex)             {                 throw new NotSupportedException("Outer Exception", ex);             }         }           private void F2()         {            throw new NotImplementedException("Inner Exception");         } It is clear that the method F2 and F1 did actually throw these exceptions but we do not see them in the call stack. If we directly call the InvokingFunction and catch and print the exception we can find out very easily how we did get into this situation. We see methods F1,F2,GenerateError and InvokingFunction directly in the stack trace and we see that actually two exceptions did occur. Here is for comparison what we get from Invoke/EndInvoke System.NotImplementedException: Inner Exception     StackTrace:    at System.Windows.Forms.Control.MarshaledInvoke(Control caller, Delegate method, Object[] args, Boolean synchronous)     at System.Windows.Forms.Control.Invoke(Delegate method, Object[] args)     at WindowsFormsApplication1.AppForm.InvokingFunction(CallMode mode)     at WindowsFormsApplication1.AppForm.cInvoke_Click(Object sender, EventArgs e)     at System.Windows.Forms.Control.OnClick(EventArgs e)     at System.Windows.Forms.Button.OnClick(EventArgs e) The exception message is kept but the stack starts running from our Invoke call and not from the faulting method F2. We have therefore no clue where this exception did occur! The stack starts running at the method MarshaledInvoke because the exception is rethrown with the throw catchedException which resets the stack trace. That is bad but things are even worse because if previously lets say 5 exceptions did occur .NET will return only the first (innermost) exception. That does mean that we do not only loose the original call stack but all other exceptions and all data contained therein as well. It is a pity that MS does know about this and simply closes this issue as not important. Programmers will play a lot more around with threads than before thanks to TPL, PLINQ that do come with .NET 4. Multithreading is hyped quit a lot in the press and everybody wants to use threads. But if the .NET Framework makes it nearly impossible to track down the easiest UI multithreading issue I have a problem with that. The problem has been reported but obviously not been solved. .NET 4 Beta 2 did not have changed that dreaded GetBaseException call in MarshaledInvoke to return only the innermost exception of the complete exception stack. It is really time to fix this. WPF on the other hand does the right thing and wraps the exceptions inside a TargetInvocationException which makes much more sense. But Not everybody uses WPF for its daily work and Windows forms applications will still be used for a long time. Below is the code to repro the issues shown and how the exceptions can be rendered in a meaningful way. The default Exception.ToString implementation generates a hard to interpret stack if several nested exceptions did occur. using System; using System.Collections.Generic; using System.ComponentModel; using System.Data; using System.Drawing; using System.Linq; using System.Text; using System.Windows.Forms; using System.Threading; using System.Globalization; using System.Runtime.CompilerServices;   namespace WindowsFormsApplication1 {     public partial class AppForm : Form     {         enum CallMode         {             Direct = 0,             BeginInvoke = 1,             Invoke = 2         };           public AppForm()         {             InitializeComponent();             Thread.CurrentThread.CurrentUICulture = CultureInfo.InvariantCulture;             Application.ThreadException += new System.Threading.ThreadExceptionEventHandler(Application_ThreadException);         }           void Application_ThreadException(object sender, System.Threading.ThreadExceptionEventArgs e)         {             cOutput.Text = PrintException(e.Exception, 0, null).ToString();         }           private void cDirectUnhandled_Click(object sender, EventArgs e)         {             InvokingFunction(CallMode.Direct);         }           private void cDirectCall_Click(object sender, EventArgs e)         {             try             {                 InvokingFunction(CallMode.Direct);             }             catch (Exception ex)             {                 cOutput.Text = PrintException(ex, 0, null).ToString();             }         }           private void cInvoke_Click(object sender, EventArgs e)         {             InvokingFunction(CallMode.Invoke);         }           private void cBeginInvokeCall_Click(object sender, EventArgs e)         {             InvokingFunction(CallMode.BeginInvoke);         }           [MethodImpl(MethodImplOptions.NoInlining)]         void InvokingFunction(CallMode mode)         {             switch (mode)             {                 case CallMode.Direct:                     GenerateError();                     break;                 case CallMode.Invoke:                     this.Invoke(new MethodInvoker(GenerateError));                     break;                 case CallMode.BeginInvoke:                     IAsyncResult res = this.BeginInvoke(new MethodInvoker(GenerateError));                     this.EndInvoke(res);                     break;             }         }           [MethodImpl(MethodImplOptions.NoInlining)]         void GenerateError()         {             F1();         }           private void F1()         {             try             {                 F2();             }             catch (Exception ex)             {                 throw new NotSupportedException("Outer Exception", ex);             }         }           private void F2()         {            throw new NotImplementedException("Inner Exception");         }           StringBuilder PrintException(Exception ex, int identLevel, StringBuilder sb)         {             StringBuilder builtStr = sb;             if( builtStr == null )                 builtStr = new StringBuilder();               if( ex == null )                 return builtStr;                 WriteLine(builtStr, String.Format("{0}: {1}", ex.GetType().FullName, ex.Message), identLevel);             WriteLine(builtStr, String.Format("StackTrace: {0}", ShortenStack(ex.StackTrace)), identLevel + 1);             builtStr.AppendLine();               return PrintException(ex.InnerException, ++identLevel, builtStr);         }               void WriteLine(StringBuilder sb, string msg, int identLevel)         {             foreach (string trimmedLine in SplitToLines(msg)                                            .Select( (line) => line.Trim()) )             {                 for (int i = 0; i < identLevel; i++)                     sb.Append('\t');                 sb.Append(trimmedLine);                 sb.AppendLine();             }         }           string ShortenStack(string stack)         {             int nonAppFrames = 0;             // Skip stack frames not part of our app but include two foreign frames and skip the rest             // If our stack frame is encountered reset counter to 0             return SplitToLines(stack)                               .Where((line) =>                               {                                   nonAppFrames = line.Contains("WindowsFormsApplication1") ? 0 : nonAppFrames + 1;                                   return nonAppFrames < 3;                               })                              .Select((line) => line)                              .Aggregate("", (current, line) => current + line + Environment.NewLine);         }           static char[] NewLines = Environment.NewLine.ToCharArray();         string[] SplitToLines(string str)         {             return str.Split(NewLines, StringSplitOptions.RemoveEmptyEntries);         }     } }

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• Nashorn, the rhino in the room

  - by costlow

  Nashorn is a new runtime within JDK 8 that allows developers to run code written in JavaScript and call back and forth with Java. One advantage to the Nashorn scripting engine is that is allows for quick prototyping of functionality or basic shell scripts that use Java libraries. The previous JavaScript runtime, named Rhino, was introduced in JDK 6 (released 2006, end of public updates Feb 2013). Keeping tradition amongst the global developer community, "Nashorn" is the German word for rhino. The Java platform and runtime is an intentional home to many languages beyond the Java language itself. OpenJDK’s Da Vinci Machine helps coordinate work amongst language developers and tool designers and has helped different languages by introducing the Invoke Dynamic instruction in Java 7 (2011), which resulted in two major benefits: speeding up execution of dynamic code, and providing the groundwork for Java 8’s lambda executions. Many of these improvements are discussed at the JVM Language Summit, where language and tool designers get together to discuss experiences and issues related to building these complex components. There are a number of benefits to running JavaScript applications on JDK 8’s Nashorn technology beyond writing scripts quickly: Interoperability with Java and JavaScript libraries. Scripts do not need to be compiled. Fast execution and multi-threading of JavaScript running in Java’s JRE. The ability to remotely debug applications using an IDE like NetBeans, Eclipse, or IntelliJ (instructions on the Nashorn blog). Automatic integration with Java monitoring tools, such as performance, health, and SIEM. In the remainder of this blog post, I will explain how to use Nashorn and the benefit from those features. Nashorn execution environment The Nashorn scripting engine is included in all versions of Java SE 8, both the JDK and the JRE. Unlike Java code, scripts written in nashorn are interpreted and do not need to be compiled before execution. Developers and users can access it in two ways: Users running JavaScript applications can call the binary directly:jre8/bin/jjs This mechanism can also be used in shell scripts by specifying a shebang like #!/usr/bin/jjs Developers can use the API and obtain a ScriptEngine through:ScriptEngine engine = new ScriptEngineManager().getEngineByName("nashorn"); When using a ScriptEngine, please understand that they execute code. Avoid running untrusted scripts or passing in untrusted/unvalidated inputs. During compilation, consider isolating access to the ScriptEngine and using Type Annotations to only allow @Untainted String arguments. One noteworthy difference between JavaScript executed in or outside of a web browser is that certain objects will not be available. For example when run outside a browser, there is no access to a document object or DOM tree. Other than that, all syntax, semantics, and capabilities are present. Examples of Java and JavaScript The Nashorn script engine allows developers of all experience levels the ability to write and run code that takes advantage of both languages. The specific dialect is ECMAScript 5.1 as identified by the User Guide and its standards definition through ECMA international. In addition to the example below, Benjamin Winterberg has a very well written Java 8 Nashorn Tutorial that provides a large number of code samples in both languages. Basic Operations A basic Hello World application written to run on Nashorn would look like this: #!/usr/bin/jjs print("Hello World"); The first line is a standard script indication, so that Linux or Unix systems can run the script through Nashorn. On Windows where scripts are not as common, you would run the script like: jjs helloWorld.js. Receiving Arguments In order to receive program arguments your jjs invocation needs to use the -scripting flag and a double-dash to separate which arguments are for jjs and which are for the script itself:jjs -scripting print.js -- "This will print" #!/usr/bin/jjs var whatYouSaid = $ARG.length==0 ? "You did not say anything" : $ARG[0] print(whatYouSaid); Interoperability with Java libraries (including 3rd party dependencies) Another goal of Nashorn was to allow for quick scriptable prototypes, allowing access into Java types and any libraries. Resources operate in the context of the script (either in-line with the script or as separate threads) so if you open network sockets and your script terminates, those sockets will be released and available for your next run. Your code can access Java types the same as regular Java classes. The “import statements” are written somewhat differently to accommodate for language. There is a choice of two styles: For standard classes, just name the class: var ServerSocket = java.net.ServerSocket For arrays or other items, use Java.type: var ByteArray = Java.type("byte[]")You could technically do this for all. The same technique will allow your script to use Java types from any library or 3rd party component and quickly prototype items. Building a user interface One major difference between JavaScript inside and outside of a web browser is the availability of a DOM object for rendering views. When run outside of the browser, JavaScript has full control to construct the entire user interface with pre-fabricated UI controls, charts, or components. The example below is a variation from the Nashorn and JavaFX guide to show how items work together. Nashorn has a -fx flag to make the user interface components available. With the example script below, just specify: jjs -fx -scripting fx.js -- "My title" #!/usr/bin/jjs -fx var Button = javafx.scene.control.Button; var StackPane = javafx.scene.layout.StackPane; var Scene = javafx.scene.Scene; var clickCounter=0; $STAGE.title = $ARG.length>0 ? $ARG[0] : "You didn't provide a title"; var button = new Button(); button.text = "Say 'Hello World'"; button.onAction = myFunctionForButtonClicking; var root = new StackPane(); root.children.add(button); $STAGE.scene = new Scene(root, 300, 250); $STAGE.show(); function myFunctionForButtonClicking(){   var text = "Click Counter: " + clickCounter;   button.setText(text);   clickCounter++;   print(text); } For a more advanced post on using Nashorn to build a high-performing UI, see JavaFX with Nashorn Canvas example. Interoperable with frameworks like Node, Backbone, or Facebook React The major benefit of any language is the interoperability gained by people and systems that can read, write, and use it for interactions. Because Nashorn is built for the ECMAScript specification, developers familiar with JavaScript frameworks can write their code and then have system administrators deploy and monitor the applications the same as any other Java application. A number of projects are also running Node applications on Nashorn through Project Avatar and the supported modules. In addition to the previously mentioned Nashorn tutorial, Benjamin has also written a post about Using Backbone.js with Nashorn. To show the multi-language power of the Java Runtime, there is another interesting example that unites Facebook React and Clojure on JDK 8’s Nashorn. Summary Nashorn provides a simple and fast way of executing JavaScript applications and bridging between the best of each language. By making the full range of Java libraries to JavaScript applications, and the quick prototyping style of JavaScript to Java applications, developers are free to work as they see fit. Software Architects and System Administrators can take advantage of one runtime and leverage any work that they have done to tune, monitor, and certify their systems. Additional information is available within: The Nashorn Users’ Guide Java Magazine’s article "Next Generation JavaScript Engine for the JVM." The Nashorn team’s primary blog or a very helpful collection of Nashorn links.

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• Using a parser to locate faulty code

  - by ryan.riverside

  Lately I've been working a lot in PHP and have run into an abnormally large number of parsing errors. I realize these are my own fault and a result of sloppy initial coding on my part, but it's getting to the point that I'm spending more time resolving tags than developing. In the interest of not slamming my productivity, are there any tricks to locating the problem in the code? What I'd really be looking for would be a line to put in the code which would output the entire faulty tag in the parsing error, or something similar. Purely for reference sake, my current error is Parse error: syntax error, unexpected '}' in /home/content/80/9480880/html/cache/tpl_prosilver_viewtopic_body.html.php on line 50 (which refers to this): </dd><dd><?php if ($_poll_option_val['POLL_OPTION_RESULT'] == 0) { echo ((isset($this->_rootref['L_NO_VOTES'])) ? $this->_rootref['L_NO_VOTES'] : ((isset($user->lang['NO_VOTES'])) ? $user->lang['NO_VOTES'] : '{ NO_VOTES }')); } else { echo $_poll_option_val['POLL_OPTION_PERCENT']; } ?></dd> </dl> <?php }} if ($this->_rootref['S_DISPLAY_RESULTS']) { ?> <dl> <dt>&nbsp;</dt> <dd class="resultbar"><?php echo ((isset($this->_rootref['L_TOTAL_VOTES'])) ? $this->_rootref['L_TOTAL_VOTES'] : ((isset($user->lang['TOTAL_VOTES'])) ? $user->lang['TOTAL_VOTES'] : '{ TOTAL_VOTES }')); ?> : <?php echo (isset($this->_rootref['TOTAL_VOTES'])) ? $this->_rootref['TOTAL_VOTES'] : ''; ?></dd> </dl> <?php } if ($this->_rootref['S_CAN_VOTE']) { ?> <dl style="border-top: none;"> <dt>&nbsp;</dt> <dd class="resultbar"><input type="submit" name="update" value="<?php echo ((isset($this->_rootref['L_SUBMIT_VOTE'])) ? $this->_rootref['L_SUBMIT_VOTE'] : ((isset($user->lang['SUBMIT_VOTE'])) ? $user->lang['SUBMIT_VOTE'] : '{ SUBMIT_VOTE }')); ?>" class="button1" /></dd> </dl> <?php } if (! $this->_rootref['S_DISPLAY_RESULTS']) { ?> <dl style="border-top: none;"> <dt>&nbsp;</dt> <dd class="resultbar"><a href="<?php echo (isset($this->_rootref['U_VIEW_RESULTS'])) ? $this->_rootref['U_VIEW_RESULTS'] : ''; ?>"><?php echo ((isset($this->_rootref['L_VIEW_RESULTS'])) ? $this->_rootref['L_VIEW_RESULTS'] : ((isset($user->lang['VIEW_RESULTS'])) ? $user->lang['VIEW_RESULTS'] : '{ VIEW_RESULTS }')); ?></a></dd> </dl> <?php } ?> </fieldset></div>

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• Upgrades in 5 Easy Pieces

  - by Anne R.

  Even though there are a few select tasks that I have to do once or twice a year, I can’t remember how to do them! Or where to find the bits and pieces to complete the task. So I love it when someone consolidates everything under one spot. That’s what the CRM On Demand team has done with the upgrade information. Specifically, they have: Provided a “one-stop” area for managing upgrades at your company. Broken down the upgrade process into 5 (yes, 5) steps. Explained when and how to perform each step with dates specific to your pod. Included details about each step, visible by expanding the step. Translated the steps into 11 languages. Added a list of release-specific resources with links from the page. Now, just head for the Training and Support portal, click the Release Info tab, and walk through the “5 Essential Steps to a Successful Upgrade.” Before you continue, though, select your language from the drop-down list on the Release Info page. CRM On Demand now has the upgrade steps translated into 11 languages. On the Step page, you can expand each section in sequence and follow the more detailed instructions that appear. This will ensure that you’ve covered all your bases for each upgrade. Here’s a shortened version of the information that you’ll find: 1. Verify your Primary Contact Information. Have you checked your primary contact information to make sure you’re being notified of all upgrade information? Or do you want more users to receive upgrade announcements? This section provides you with the navigation path to do that in CRM On Demand. 2. Review your Key Upgrade Dates. If you expand this step, a nice table appears with your critical dates for the various milestones. IMPORTANT: When your CRM On Demand pod has been officially added to the upgrade schedule, closer to the release date itself, this table will display your specific timetable. 3. Migrate your Customizations from the Staging Environment before the Snapshot Date. Oracle refreshes the Staging data with a copy of your Production data made on the Production Snapshot Date. So this section lists considerations relevant to this step. It also reminds you of the 2-week period when you should not be making any changes in your Staging environment.   4. Conduct your Upgrade Validation on the Staging Environment. When the Customer Validation Testing period begins, you need to log in to your Staging Environment to validate that your key business processes and customizations continue to behave as expected. If your company utilizes Web Services, Web Links, Web Applets or Workflow, focus on testing these first. You generally have about two weeks for testing. If you run into problems during this time, follow the instructions shown in this section for logging a service request. It describes exactly how to fill out the fields in the SR for the fastest resolution. 5. Conduct "White Glove" Testing in your Upgraded Production Environment. Before users start using the upgrade, you should access a few tabs and reports. Doing this actually warms up the cache so that frequently used pages and reports will come up at normal speed on Monday morning, when users log in to the upgraded system. Resources listed under this step help you in further preparing for the upgrade. Now there’s also a new Documentation section on the right with links to these release-specific resources.   Very nice, I commented, when discussing these improvements with the “responsible party.” She confirmed that, yes, they tried to consolidate the upgrade information, translate it for better communication, simplify it into 5 easy pieces, and drive admins responsible for handling upgrades to this one site instead of sending out elaborate emails. Yes, I just love it when someone practically reaches out and holds my hand through a process. Next best thing to a wizard!

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• Nec USB 3.0 controller drops connection - Ubuntu 12.04.1

  - by Tom

  I have some serious problems with Technaxx pci-e 302p card. It has uPD720200a NEC chip with 4020 firmware. BIOS recognises it. Sometimes it recognises devices and system mounts them and are functional for few minutes, other times they can't be mount and error occours. After fresh install card worked fine, but after kernel and firmware update it behaves as mentioned. Outputs: uname -a Linux asd-GA-MA770-UD3 3.2.0-30-generic #48-Ubuntu SMP Fri Aug 24 16:52:48 UTC 2012 x86_64 x86_64 x86_64 GNU/Linux lspci -vvv USB controller: NEC Corporation uPD720200 USB 3.0 Host Controller (rev 04) (prog-if 30 [XHCI]) Control: I/O- Mem+ BusMaster+ SpecCycle- MemWINV- VGASnoop- ParErr- Stepping- SERR- FastB2B- DisINTx+ Status: Cap+ 66MHz- UDF- FastB2B- ParErr- DEVSEL=fast >TAbort- <TAbort- <MAbort- >SERR- <PERR- INTx- Latency: 0, Cache Line Size: 64 bytes Interrupt: pin A routed to IRQ 17 Region 0: Memory at fd8fe000 (64-bit, non-prefetchable) [size=8K] Capabilities: <access denied> Kernel driver in use: xhci_hcd lsusb Bus 001 Device 001: ID 1d6b:0002 Linux Foundation 2.0 root hub Bus 002 Device 001: ID 1d6b:0002 Linux Foundation 2.0 root hub Bus 003 Device 001: ID 1d6b:0001 Linux Foundation 1.1 root hub Bus 004 Device 001: ID 1d6b:0001 Linux Foundation 1.1 root hub Bus 005 Device 001: ID 1d6b:0001 Linux Foundation 1.1 root hub Bus 006 Device 001: ID 1d6b:0001 Linux Foundation 1.1 root hub Bus 007 Device 001: ID 1d6b:0001 Linux Foundation 1.1 root hub Bus 008 Device 001: ID 1d6b:0002 Linux Foundation 2.0 root hub Bus 009 Device 001: ID 1d6b:0003 Linux Foundation 3.0 root hub Bus 001 Device 003: ID 07d1:3c0a D-Link System DWA-140 RangeBooster N Adapter(rev.B2) [Ralink RT3072] Bus 005 Device 004: ID 1997:1221 Bus 005 Device 003: ID 15c2:003c SoundGraph Inc. lsmod Module Size Used by nls_iso8859_1 12713 0 nls_cp437 16991 0 vfat 17585 0 fat 61512 1 vfat vesafb 13844 1 saa7134_alsa 18602 1 rfcomm 47604 0 bnep 18281 2 bluetooth 180104 10 rfcomm,bnep tda827x 18182 1 snd_hda_codec_hdmi 32474 1 ir_lirc_codec 12859 0 lirc_dev 19204 1 ir_lirc_codec tda8290 22616 1 arc4 12529 2 snd_hda_codec_realtek 224173 1 ir_mce_kbd_decoder 12777 0 ir_sony_decoder 12510 0 ir_jvc_decoder 12507 0 tuner 27428 1 ir_rc6_decoder 12507 0 snd_hda_intel 33773 5 rt2800usb 22684 0 rt2800lib 58925 1 rt2800usb crc_ccitt 12667 1 rt2800lib rt2x00usb 20762 1 rt2800usb rt2x00lib 51144 3 rt2800usb,rt2800lib,rt2x00usb mac80211 506816 3 rt2800lib,rt2x00usb,rt2x00lib ir_rc5_decoder 12507 0 rc_avermedia_m135a 12526 0 rc_imon_pad 12505 0 ir_nec_decoder 12507 0 cfg80211 205544 2 rt2x00lib,mac80211 snd_hda_codec 127706 3 snd_hda_codec_hdmi,snd_hda_codec_realtek,snd_hda_intel snd_ctxfi 111202 2 snd_hwdep 13668 1 snd_hda_codec imon 32839 0 snd_pcm 97188 5 saa7134_alsa,snd_hda_codec_hdmi,snd_hda_intel,snd_hda_codec,snd_ctxfi snd_seq_midi 13324 0 saa7134 181851 1 saa7134_alsa videobuf_dma_sg 19354 2 saa7134_alsa,saa7134 snd_rawmidi 30748 1 snd_seq_midi snd_seq_midi_event 14899 1 snd_seq_midi joydev 17693 0 rc_core 26412 13 ir_lirc_codec,ir_mce_kbd_decoder,ir_sony_decoder,ir_jvc_decoder,ir_rc6_decoder,ir_rc5_decoder,rc_avermedia_m135a,rc_imon_pad,ir_nec_decoder,imon,saa7134 snd_seq 61896 2 snd_seq_midi,snd_seq_midi_event fglrx 3263886 101 videobuf_core 26390 2 saa7134,videobuf_dma_sg v4l2_common 16454 2 tuner,saa7134 videodev 98259 3 tuner,saa7134,v4l2_common sp5100_tco 13791 0 snd_timer 29990 2 snd_pcm,snd_seq snd_seq_device 14540 3 snd_seq_midi,snd_rawmidi,snd_seq snd 78855 28 saa7134_alsa,snd_hda_codec_hdmi,snd_hda_codec_realtek,snd_hda_intel,snd_hda_codec,snd_ctxfi,snd_hwdep,snd_pcm,snd_rawmidi,snd_seq,snd_timer,snd_seq_device v4l2_compat_ioctl32 17128 1 videodev tveeprom 21249 1 saa7134 i2c_piix4 13301 0 soundcore 15091 1 snd edac_core 53746 0 serio_raw 13211 0 snd_page_alloc 18529 3 snd_hda_intel,snd_ctxfi,snd_pcm edac_mce_amd 23709 0 wmi 19256 0 mac_hid 13253 0 ppdev 17113 0 parport_pc 32866 1 k10temp 13166 0 lp 17799 0 parport 46562 3 ppdev,parport_pc,lp usb_storage 49198 0 uas 18180 0 usbhid 47199 0 hid 99559 1 usbhid firewire_ohci 41000 0 firewire_core 63558 1 firewire_ohci crc_itu_t 12707 1 firewire_core floppy 70365 0 pata_atiixp 13204 2 r8169 62099 0 dmesg | tail after plugging to usb 3.0 port [ 834.871296] sd 9:0:0:0: rejecting I/O to offline device [ 834.871308] sd 9:0:0:0: rejecting I/O to offline device [ 834.871319] sd 9:0:0:0: rejecting I/O to offline device [ 834.871330] sd 9:0:0:0: rejecting I/O to offline device [ 834.871530] sd 9:0:0:0: [sdd] Unhandled error code [ 834.871536] sd 9:0:0:0: [sdd] Result: hostbyte=DID_NO_CONNECT driverbyte=DRIVER_OK [ 834.871545] sd 9:0:0:0: [sdd] CDB: Read(10): 28 00 0e 8e 48 0a 00 00 3e 00 [ 834.871564] end_request: I/O error, dev sdd, sector 244205578 [ 834.875497] sd 8:0:0:1: Device offlined - not ready after error recovery [ 834.885339] usb 9-2: USB disconnect, device number 2 Are there any other outputs need for answering? I'll post them ASAP. I could of course reject updating the system but I think it's halfway solution. Any help appreciated. BTW USB 2.0 and 1.1 ports run well, card itself runs under win7 as charm. Tom

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• Quaternion Camera Orbiting around a Sphere

  - by jessejuicer

  Background: I'm trying to create a game where the camera is always rotating around a single sphere. I'm using the DirectX D3DX math functions in C++ on Windows. The Problem: I cannot get both the camera position and orientation both working properly at the same time. Either one works but not both together. Here's the code for my quaternion camera that revolves around a sphere, always looking at the centerpoint of the sphere, ... as far as I understand it (but which isn't working properly): (I'm only going to present rotation around the X axis here, to simplify this post) Whenever the UP key is pressed or held down, the camera should rotate around the X axis, while looking at the centerpoint of the sphere (which is at 0,0,0 in the world). So, I build a quaternion that represents a small angle of rotation around the x axis like this (where 'deltaAngle' is a small enough number for a slow rotation): D3DXVECTOR3 rotAxis; D3DXQUATERNION tempQuat; tempQuat.x = 0.0f; tempQuat.y = 0.0f; tempQuat.z = 0.0f; tempQuat.w = 1.0f; rotAxis.x = 1.0f; rotAxis.y = 0.0f; rotAxis.z = 0.0f; D3DXQuaternionRotationAxis(&tempQuat, &rotAxis, deltaAngle); ...and I accumulate the result into the camera's current orientation quat, like this: D3DXQuaternionMultiply(&cameraOrientationQuat, &cameraOrientationQuat, &tempQuat); ...which all works fine. Now I need to build a view matrix to pass to DirectX SetTransform function. So I build a rotation matrix from the camera orientation quat as follows: D3DXMATRIXA16 rotationMatrix; D3DXMatrixIdentity(&rotationMatrix); D3DXMatrixRotationQuaternion(&rotationMatrix, &cameraOrientationQuat); ...Now (as seen below) if I just transpose that rotationMatrix and plug it into the 3x3 section of the view matrix, then negate the camera's position and plug it into the translation section of the view matrix, the rotation magically works. Perfectly. (even when I add in rotations for all three axes). There's no gimbal lock, just a smooth rotation all around in any direction. BUT- this works even though I never change the camera's position. At all. Which sorta blows my mind. I even display the camera position and can watch it stay constant at it's starting point (0.0, 0.0, -4000.0). It never moves, but the rotation around the sphere is perfect. I don't understand that. For proper view rotation, the camera position should be revolving around the sphere. Here's the rest of building the view matrix (I'll talk about the commented code below). Note that the camera starts out at (0.0, 0.0, -4000.0) and m_camDistToTarget is 4000.0: /* D3DXVECTOR3 vec1; D3DXVECTOR4 vec2; vec1.x = 0.0f; vec1.y = 0.0f; vec1.z = -1.0f; D3DXVec3Transform(&vec2, &vec1, &rotationMatrix); g_cameraActor->pos.x = vec2.x * g_cameraActor->m_camDistToTarget; g_cameraActor->pos.y = vec2.y * g_cameraActor->m_camDistToTarget; g_cameraActor->pos.z = vec2.z * g_cameraActor->m_camDistToTarget; */ D3DXMatrixTranspose(&g_viewMatrix, &rotationMatrix); g_viewMatrix._41 = -g_cameraActor->pos.x; g_viewMatrix._42 = -g_cameraActor->pos.y; g_viewMatrix._43 = -g_cameraActor->pos.z; g_viewMatrix._44 = 1.0f; g_direct3DDevice9->SetTransform( D3DTS_VIEW, &g_viewMatrix ); ...(The world matrix is always an identity, and the perspective projection works fine). ...So, without the commented code being compiled, the rotation works fine. But to be proper, for obvious reasons, the camera position should be rotating around the sphere, which it currently is not. That's what the commented code is supposed to do. And when I add in that chunk of code to do that, and look at all the data as I hold the keys down (using UP, DOWN, LEFT, RIGHT to rotate different directions) all the values look correct! The camera position is rotating around the sphere just fine, and I can watch that happen visually too. The problem is that the camera orientation does not lookat the center of the sphere. It always looks straight forward down the z axis (toward positive z) as it revolves around the sphere. Yet the values of both the rotation matrix and the view matrix seem to be behaving correctly. (The view matrix orientation is the same as the rotation matrix, just transposed). For instance if I just hold down the key to spin around the x axis, I can watch the values of the three axes represented in the view matrix (x, y, and z axes)... view x-axis stays at (1.0, 0.0, 0.0), and view y-axis and z-axis both spin around the x axis just fine. All the numbers are changing as they should be... well, almost. As far as I can tell, the position of the view matrix is spinning around the sphere one direction (like clockwise), and the orientation (the axes in the view matrix) are spinning the opposite direction (like counter-clockwise). Which I guess explains why the orientation appears to stay straight ahead. I know the position is correct. It revolves properly. It's the orientation that's wrong. Can anyone see what am I doing wrong? Am I using these functions incorrectly? Or is my algorithm flawed? As usual I've been combing my code for simple mistakes for many hours. I'm willing to post the actual code, and a video of the behavior, but that will take much more effort. Thought I'd ask this way first.

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• Windows Azure Recipe: Social Web / Big Media

  - by Clint Edmonson

  With the rise of social media there’s been an explosion of special interest media web sites on the web. From athletics to board games to funny animal behaviors, you can bet there’s a group of people somewhere on the web talking about it. Social media sites allow us to interact, share experiences, and bond with like minded enthusiasts around the globe. And through the power of software, we can follow trends in these unique domains in real time. Drivers Reach Scalability Media hosting Global distribution Solution Here’s a sketch of how a social media application might be built out on Windows Azure: Ingredients Traffic Manager (optional) – can be used to provide hosting and load balancing across different instances and/or data centers. Perfect if the solution needs to be delivered to different cultures or regions around the world. Access Control – this service is essential to managing user identity. It’s backed by a full blown implementation of Active Directory and allows the definition and management of users, groups, and roles. A pre-built ASP.NET membership provider is included in the training kit to leverage this capability but it’s also flexible enough to be combined with external Identity providers including Windows LiveID, Google, Yahoo!, and Facebook. The provider model has extensibility points to hook into other identity providers as well. Web Role – hosts the core of the web application and presents a central social hub users. Database – used to store core operational, functional, and workflow data for the solution’s web services. Caching (optional) – as a web site traffic grows caching can be leveraged to keep frequently used read-only, user specific, and application resource data in a high-speed distributed in-memory for faster response times and ultimately higher scalability without spinning up more web and worker roles. It includes a token based security model that works alongside the Access Control service. Tables (optional) – for semi-structured data streams that don’t need relational integrity such as conversations, comments, or activity streams, tables provide a faster and more flexible way to store this kind of historical data. Blobs (optional) – users may be creating or uploading large volumes of heterogeneous data such as documents or rich media. Blob storage provides a scalable, resilient way to store terabytes of user data. The storage facilities can also integrate with the Access Control service to ensure users’ data is delivered securely. Content Delivery Network (CDN) (optional) – for sites that service users around the globe, the CDN is an extension to blob storage that, when enabled, will automatically cache frequently accessed blobs and static site content at edge data centers around the world. The data can be delivered statically or streamed in the case of rich media content. Training These links point to online Windows Azure training labs and resources where you can learn more about the individual ingredients described above. (Note: The entire Windows Azure Training Kit can also be downloaded for offline use.) Windows Azure (16 labs) Windows Azure is an internet-scale cloud computing and services platform hosted in Microsoft data centers, which provides an operating system and a set of developer services which can be used individually or together. It gives developers the choice to build web applications; applications running on connected devices, PCs, or servers; or hybrid solutions offering the best of both worlds. New or enhanced applications can be built using existing skills with the Visual Studio development environment and the .NET Framework. With its standards-based and interoperable approach, the services platform supports multiple internet protocols, including HTTP, REST, SOAP, and plain XML SQL Azure (7 labs) Microsoft SQL Azure delivers on the Microsoft Data Platform vision of extending the SQL Server capabilities to the cloud as web-based services, enabling you to store structured, semi-structured, and unstructured data. Windows Azure Services (9 labs) As applications collaborate across organizational boundaries, ensuring secure transactions across disparate security domains is crucial but difficult to implement. Windows Azure Services provides hosted authentication and access control using powerful, secure, standards-based infrastructure. See my Windows Azure Resource Guide for more guidance on how to get started, including links web portals, training kits, samples, and blogs related to Windows Azure.

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• Azure Diagnostics: The Bad, The Ugly, and a Better Way

  - by jasont

  If you’re a .Net web developer today, no doubt you’ve enjoyed watching Windows Azure grow up over the past couple of years. The platform has scaled, stabilized (mostly), and added on a slew of great (and sometimes overdue) features. What was once just an endpoint to host a solution, developers today have tremendous flexibility and options in the platform. Organizations are building new solutions and offerings on the platform, and others have, or are in the process of, migrating existing applications out of their own data centers into the Azure cloud. Whether new application development or migrating legacy, every development shop and IT organization needs to monitor their applications in the cloud, the same as they do on premises. Azure Diagnostics has some capabilities, but what I constantly hear from users is that it’s either (a) not enough, or (b) too cumbersome to set up. Today, Stackify is happy to announce that we fully support Azure deployments, just the same as your on-premises deployments. Let’s take a look below and compare and contrast the options. Azure Diagnostics Let’s crack open the Windows Azure documentation on Azure Diagnostics and see just how easy it is to use. The high level steps are:   Step 1: Import the Diagnostics Oh, I’ve already deployed my app without the diagnostics module. Guess I can’t do anything until I do this and re-deploy. Step 2: Configure the Diagnostics (and multiple sub-steps) Do I want it all? Or just pieces of it? Whoops, forgot to include a specific performance counter, I guess I’ll have to deploy again. Wait a minute… I have to specifically code these performance counters into my role’s OnStart() method, compile and deploy again? And query and consume it myself? Step 3: (Optional) Permanently store diagnostic data Lucky for me, Azure storage has gotten pretty cheap. But how often should I move the data into storage? I want to see real-time data, so I guess that’s out now as well. Step 4: (Optional) View stored diagnostic data Optional? Of course I want to see it. Conveniently, Microsoft recommends 3 tools to do this with. Un-conveniently, none of these are web based and they all just give you access to raw data, and very little charting or real-time intelligence. Just….. data. Nevermind that one product seems to have gotten stale since a recent acquisition, and doesn’t even have screenshots!   So, let’s summarize: lots of diagnostics data is available, but think realistically. Think Dev Ops. What happens when you are in the middle of a major production performance issue and you don’t have the diagnostics you need? You are redeploying an application (and thankfully you have a great branching strategy, so you feel perfectly safe just willy-nilly launching code into prod, don’t you?) to get data, then shipping it to storage, and then digging through that data to find a needle in a haystack. Would you like to be able to troubleshoot a performance issue in the middle of the night, or on a weekend, from your iPad or home computer’s web browser? Forget it: the best you get is this spark line in the Azure portal. If it’s real pointy, you probably have an issue; but since there is no alert based on a threshold your customers have likely already let you know. And high CPU, Memory, I/O, or Network doesn’t tell you anything about where the problem is. The Better Way – Stackify Stackify supports application and server monitoring in real time, all through a great web interface. All of the things that Azure Diagnostics provides, Stackify provides for your on-premises deployments, and you don’t need to know ahead of time that you’ll need it. It’s always there, it’s always on. Azure deployments are essentially no different than on-premises. It’s a Windows Server (or Linux) in the cloud. It’s behind a different firewall than your corporate servers. That’s it. Stackify can provide the same powerful tools to your Azure deployments in two simple steps. Step 1 Add a startup task to your web or worker role and deploy. If you can’t deploy and need it right now, no worries! Remote Desktop to the Azure instance and you can execute a Powershell script to download / install Stackify.   Step 2 Log in to your account at www.stackify.com and begin monitoring as much as you want, as often as you want and see the results instantly. WMI? It’s there Event Viewer? You’ve got it. File System Access? Yes, please! Would love to make sure my web.config is correct.   IIS / App Pool Info? Yep. You can even restart it. Running Services? All of them. Start and Stop them to your heart’s content. SQL Database access? You bet’cha. Alerts and Notification? Of course! You should know before your customers let you know. … and so much more.   Conclusion Microsoft has shown, consistently, that they love developers, developers, developers. What every developer needs to realize from this is that they’ve given you a canvas, which is exactly what Azure is. It’s great infrastructure that is readily available, easy to manage, and fairly cost effective. However, the tooling is your responsibility. What you get, at best, is bare bones. App and server diagnostics should be available when you need them. While we, as developers, try to plan for and think of everything ahead of time, there will come times where we need to get data that just isn’t available. And having to go through a lot of cumbersome steps to get that data, and then have to find a friendlier way to consume it…. well, that just doesn’t make a lot of sense to me. I’d rather spend my time writing and developing features and completing bug fixes for my applications, than to be writing code to monitor and diagnose.

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• WebLogic Server–Use the Execution Context ID in Applications–Lessons From Hansel and Gretel

  - by james.bayer

  I learned a neat trick this week.  Don’t let your breadcrumbs go to waste like Hansel and Gretel did!  Keep track of the code path, logs and errors for each request as they flow through the system.  Earlier this week an OTN forum post in the WLS – General category by Oracle Ace John Stegeman asked a question how to retrieve the Execution Context ID so that it could be used on an error page that a user could provide to a help desk or use to check with application administrators so they could look up what went wrong.  What is the Execution Context ID (ECID)?  Fusion Middleware injects an ECID as a request enters the system and it says with the request as it flows from Oracle HTTP Server to Oracle Web Cache to multiple WebLogic Servers to the Oracle Database. It’s a way to uniquely identify a request across tiers.  According to the documentation it’s: The value of the ECID is a unique identifier that can be used to correlate individual events as being part of the same request execution flow. For example, events that are identified as being related to a particular request typically have the same ECID value.  The format of the ECID string itself is determined by an internal mechanism that is subject to change; therefore, you should not have or place any dependencies on that format. The novel idea that I see John had was to extend this concept beyond the diagnostic information that is captured by Fusion Middleware.  Why not also use this identifier in your logs and errors so you can correlate even more information together!  Your logging might already identify the user, so why not identify the request so you filter down even more.  All you need to do inside of WebLogic Server to get ahold of this information is invoke DiagnosticConextHelper: weblogic.diagnostics.context.DiagnosticContextHelper.getContextId() This class has other helpful methods to see other values tracked by the diagnostics framework too.  This way I can see even more detail and get information across tiers. In performance profiling, this can be very handy to track down where time is being spent in code.  I’ve blogged and made videos about this before.  JRockit Flight Recorder can use the WLDF Diagnostic Volume in WLS 10.3.3+ to automatically capture and correlate lots of helpful information for each request without installing any special agents and with the out-of-the-box JRockit and WLS settings!  You can see here how information is displayed in JRockit Flight Recorder about a single request as it calls a Servlet, which calls an EJB, which gets a DB connection, which starts a transaction, etc.  You can get timings around everything and even see the SQL that is used. http://download.oracle.com/docs/cd/E21764_01/web.1111/e13714/using_flightrecorder.htm#WLDFC480 Recent versions of the WLS console also are able to visualize this data too, so it works with other JVMs besides JRockit when you turn on WLDF instrumentation. I wrote a little sample application that verified to myself that the ECID did actually cross JVM boundaries.  I invoked a Servlet in one JVM, which acted as an EJB client to Stateless Session Bean running in another JVM.  Each call returned the same ECID.  You need to turn on WLDF Instrumentation for this to work otherwise the framework returns null.  I’m glad John put me on to this API as I have some interesting ideas on how to correlate some information together.

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• Profiling Startup Of VS2012 &ndash; SpeedTrace Profiler

  - by Alois Kraus

  SpeedTrace is a relatively unknown profiler made a company called Ipcas. A single professional license does cost 449€+VAT. For the test I did use SpeedTrace 4.5 which is currently Beta. Although it is cheaper than dotTrace it has by far the most options to influence how profiling does work. First you need to create a tracing project which does configure tracing for one process type. You can start the application directly from the profiler or (much more interesting) it does attach to a specific process when it is started. For this you need to check “Trace the specified …” radio button and enter the process name in the “Process Name of the Trace” edit box. You can even selectively enable tracing for processes with a specific command line. Then you need to activate the trace project by pressing the Activate Project button and you are ready to start VS as usual. If you want to profile the next 10 VS instances that you start you can set the Number of Processes counter to e.g. 10. This is immensely helpful if you are trying to profile only the next 5 started processes. As you can see there are many more tabs which do allow to influence tracing in a much more sophisticated way. SpeedTrace is the only profiler which does not rely entirely on the profiling Api of .NET. Instead it does modify the IL code (instrumentation on the fly) to write tracing information to disc which can later be analyzed. This approach is not only very fast but it does give you unprecedented analysis capabilities. Once the traces are collected they do show up in your workspace where you can open the trace viewer. I do skip the other windows because this view is by far the most useful one. You can sort the methods not only by Wall Clock time but also by CPU consumption and wait time which none of the other products support in their views at the same time. If you want to optimize for CPU consumption sort by CPU time. If you want to find out where most time is spent you need Clock Total time and Clock Waiting. There you can directly see if the method did take long because it did wait on something or it did really execute stuff that did take so long. Once you have found a method you want to drill deeper you can double click on a method to get to the Caller/Callee view which is similar to the JetBrains Method Grid view. But this time you do see much more. In the middle is the clicked method. Above are the methods that call you and below are the methods that you do directly call. Normally you would then start digging deeper to find the end of the chain where the slow method worth optimizing is located. But there is a shortcut. You can press the magic   button to calculate the aggregation of all called methods. This is displayed in the lower left window where you can see each method call and how long it did take. There you can also sort to see if this call stack does only contain methods (e.g. WCF connect calls which you cannot make faster) not worth optimizing. YourKit has a similar feature where it is called Callees List. In the Functions tab you have in the context menu also many other useful analysis options One really outstanding feature is the View Call History Drilldown. When you select this one you get not a sum of all method invocations but a list with the duration of each method call. This is not surprising since SpeedTrace does use tracing to get its timings. There you can get many useful graphs how this method did behave over time. Did it become slower at some point in time or was only the first call slow? The diagrams and the list will tell you that. That is all fine but what should I do when one method call was slow? I want to see from where it was coming from. No problem select the method in the list hit F10 and you get the call stack. This is a life saver if you e.g. search for serialization problems. Today Serializers are used everywhere. You want to find out from where the 5s XmlSerializer.Deserialize call did come from? Hit F10 and you get the call stack which did invoke the 5s Deserialize call. The CPU timeline tab is also useful to find out where long pauses or excessive CPU consumption did happen. Click in the graph to get the Thread Stacks window where you can get a quick overview what all threads were doing at this time. This does look like the Stack Traces feature in YourKit. Only this time you get the last called method first which helps to quickly see what all threads were executing at this moment. YourKit does generate a rather long list which can be hard to go through when you have many threads. The thread list in the middle does not give you call stacks or anything like that but you see which methods were found most often executing code by the profiler which is a good indication for methods consuming most CPU time. This does sound too good to be true? I have not told you the best part yet. The best thing about this profiler is the staff behind it. When I do see a crash or some other odd behavior I send a mail to Ipcas and I do get usually the next day a mail that the problem has been fixed and a download link to the new version. The guys at Ipcas are even so helpful to log in to your machine via a Citrix Client to help you to get started profiling your actual application you want to profile. After a 2h telco I was converted from a hater to a believer of this tool. The fast response time might also have something to do with the fact that they are actively working on 4.5 to get out of the door. But still the support is by far the best I have encountered so far. The only downside is that you should instrument your assemblies including the .NET Framework to get most accurate numbers. You can profile without doing it but then you will see very high JIT times in your process which can severely affect the correctness of the measured timings. If you do not care about exact numbers you can also enable in the main UI in the Data Trace tab logging of method arguments of primitive types. If you need to know what files at which times were opened by your application you can find it out without a debugger. Since SpeedTrace does read huge trace files in its reader you should perhaps use a 64 bit machine to be able to analyze bigger traces as well. The memory consumption of the trace reader is too high for my taste. But they did promise for the next version to come up with something much improved.

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• SQL SERVER – A Puzzle Part 4 – Fun with SEQUENCE in SQL Server 2012 – Guess the Next Value

  - by pinaldave

  It seems like every weekend I get a new puzzle in my mind. Before continuing I suggest you read my previous posts here where I have shared earlier puzzles. A Puzzle – Fun with SEQUENCE in SQL Server 2012 – Guess the Next Value  A Puzzle Part 2 – Fun with SEQUENCE in SQL Server 2012 – Guess the Next Value A Puzzle Part 3 – Fun with SEQUENCE in SQL Server 2012 – Guess the Next Value After reading above three posts, I am very confident that you all will be ready for the next set of puzzles now. First execute the script which I have written here. Now guess what will be the next value as requested in the query. USE TempDB GO -- Create sequence CREATE SEQUENCE dbo.SequenceID AS DECIMAL(3,0) START WITH 1 INCREMENT BY -1 MINVALUE 1 MAXVALUE 3 CYCLE NO CACHE; GO SELECT next value FOR dbo.SequenceID; -- Guess the number SELECT next value FOR dbo.SequenceID; -- Clean up DROP SEQUENCE dbo.SequenceID; GO Please note that Starting value is 1, Increment value is the negative value of -1 and Minimum value is 3. Now let us first assume how this will work out. In our example of the sequence starting value is equal to 1 and decrement value is -1, this means the value should decrement from 1 to 0. However, the minimum value is 1. This means the value cannot further decrement at all. What will happen here? The natural assumption is that it should throw an error. How many of you are assuming about query will throw an ERROR? Well, you are WRONG! Do not blame yourself, it is my fault as I have told you only half of the story. Now if you have voted for error, let us continue running above code in SQL Server Management Studio. The above script will give the following output: Isn’t it interesting that instead of error out it is giving us result value 3. To understand the answer about the same, carefully observe the original syntax of creating SEQUENCE – there is a keyword CYCLE. This keyword cycles the values between the minimum and maximum value and when one of the range is exhausted it cycles the values from the other end of the cycle. As we have negative incremental value when query reaches to the minimum value or lower end it will cycle it from the maximum value. Here the maximum value is 3 so the next logical value is 3. If your business requirement is such that if sequence reaches the maximum or minimum value, it should throw an error, you should not use the keyword cycle, and it will behave as discussed. I hope, you are enjoying the puzzles as much as I am enjoying it. If you have any interesting puzzle to share, please do share with me and I will share this on blog with due credit to you. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Puzzle, SQL Query, SQL Server, SQL Tips and Tricks, SQLServer, T SQL, Technology

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• Swap not available on System Monitor

  - by Zaki

  I had a swap partition of 1GB (RAM 1GB, Ubuntu 12.04 lts). Now swap is not shown on System Monitor neither can I hibernate my pc (sudo pm-hibernate). blkid output: /dev/sda1: UUID="B8B4FBB1B4FB706C" TYPE="ntfs" /dev/sda2: UUID="2ea7d608-2d89-4e41-9436-d05cb3ce8871" TYPE="swap" /dev/sda3: UUID="3219d03a-67e4-454b-8ce7-a27831846e35" TYPE="ext4" /dev/sda5: LABEL="Softwares" UUID="AC1CC3301CC2F47C" TYPE="ntfs" /dev/sda6: LABEL="Education" UUID="1E103E6C103E4B53" TYPE="ntfs" /dev/sda7: LABEL="Recreation" UUID="2CC8D181C8D149AA" TYPE="ntfs" /dev/sda8: LABEL="Miscellaneous" UUID="0274D6B174D6A727" TYPE="ntfs" /etc/fstab # <file system> <mount point> <type> <options> <dump> <pass> proc /proc proc nodev,noexec,nosuid 0 0 # / was on /dev/sda6 during installation UUID=3219d03a-67e4-454b-8ce7-a27831846e35 / ext4 errors=remount-ro 0 1 # swap was on /dev/sda5 during installation UUID=2ea7d608-2d89-4e41-9436-d05cb3ce8871 none swap sw 0 0 free -m total used free shared buffers cached Mem: 991 867 123 0 27 418 -/+ buffers/cache: 421 569 Swap: 0 0 0 cat /proc/swaps Filename Type Size Used Priority fdisk -l Disk /dev/sda: 160.0 GB, 160041885696 bytes 255 heads, 63 sectors/track, 19457 cylinders, total 312581808 sectors Units = sectors of 1 * 512 = 512 bytes Sector size (logical/physical): 512 bytes / 512 bytes I/O size (minimum/optimal): 512 bytes / 512 bytes Disk identifier: 0x9f369f36 Device Boot Start End Blocks Id System /dev/sda1 * 63 31471334 15735636 7 HPFS/NTFS/exFAT /dev/sda2 31471616 33470447 999416 82 Linux swap / Solaris /dev/sda3 33472512 62539775 14533632 83 Linux /dev/sda4 62541045 312592769 125025862+ f W95 Ext'd (LBA) /dev/sda5 62541108 125066024 31262458+ 7 HPFS/NTFS/exFAT /dev/sda6 125066088 187591004 31262458+ 7 HPFS/NTFS/exFAT /dev/sda7 187591068 250115984 31262458+ 7 HPFS/NTFS/exFAT /dev/sda8 250116048 312576704 31230328+ 7 HPFS/NTFS/exFAT swapon --all swapon: /dev/sda2: swapon failed: Invalid argument dmesg | grep -A 5 -B 5 -i swap [ 9.487404] EXT4-fs (sda3): ext4_orphan_cleanup: deleting unreferenced inode 131645 [ 9.487413] EXT4-fs (sda3): ext4_orphan_cleanup: deleting unreferenced inode 131330 [ 9.487418] EXT4-fs (sda3): 16 orphan inodes deleted [ 9.487420] EXT4-fs (sda3): recovery complete [ 9.578600] EXT4-fs (sda3): mounted filesystem with ordered data mode. Opts: (null) [ 20.580539] Swap area shorter than signature indicates [ 20.588363] IPv6: ADDRCONF(NETDEV_UP): eth0: link is not ready [ 20.619443] udevd[330]: starting version 175 [ 20.649959] lp: driver loaded but no devices found [ 20.662972] [drm] Initialized drm 1.1.0 20060810 [ 20.675515] i915 0000:00:02.0: setting latency timer to 64 -- [ 72.288573] PM: thaw of drv:sr dev:3:0:0:0 complete after 178.143 msecs [ 72.288578] PM: thaw of drv:scsi_device dev:3:0:0:0 complete after 178.136 msecs [ 72.299677] PM: thaw of drv:scsi_device dev:2:0:0:0 complete after 189.270 msecs [ 72.309473] PM: thaw of devices complete after 202.763 msecs [ 72.309668] PM: writing image. [ 72.309670] PM: Cannot find swap device, try swapon -a. [ 72.309699] PM: Cannot get swap writer [ 72.329896] Restarting tasks ... done. [ 72.331777] PM: Basic memory bitmaps freed [ 72.331792] video LNXVIDEO:00: Restoring backlight state [ 72.420048] option1 ttyUSB0: option_instat_callback: error -84 [ 72.804047] option1 ttyUSB0: option_instat_callback: error -84 -- [ 145.960625] sd 7:0:0:0: Attached scsi generic sg2 type 0 [ 145.972036] sd 7:0:0:0: [sdb] Attached SCSI removable disk [ 172.430508] PPP BSD Compression module registered [ 172.455583] PPP Deflate Compression module registered [ 332.260789] type=1400 audit(1381814763.342:27): apparmor="DENIED" operation="capable" parent=1 profile="/usr/sbin/cupsd" pid=636 comm="cupsd" pid=636 comm="cupsd" capability=36 capname="block_suspend" [ 1913.030998] Swap area shorter than signature indicates [ 2022.530155] type=1400 audit(1381816453.610:28): apparmor="DENIED" operation="capable" parent=1 profile="/usr/sbin/cupsd" pid=636 comm="cupsd" pid=636 comm="cupsd" capability=36 capname="block_suspend" [ 4062.729509] Swap area shorter than signature indicates Please help. Thanks in advance. df -h Filesystem Size Used Avail Use% Mounted on /dev/sda3 14G 6.1G 7.0G 47% / udev 488M 4.0K 488M 1% /dev tmpfs 199M 868K 198M 1% /run none 5.0M 4.0K 5.0M 1% /run/lock none 496M 224K 496M 1% /run/shm

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• How to autostart Kupfer in Ubuntu 13.10?

  - by JJD

  I built Kupfer from source on Ubuntu 13.10 and installed it into ./local. In the preferences I checked Start automatically on login. However, Kupfer does not automatically start. The desktop file in ~/.local/share/applications/kupfer.desktop looks like this: [Desktop Entry] Version=1.0 Name=Kupfer Name[cs]=Kupfer Name[da]=Kupfer Name[de]=Kupfer Name[el]=Kupfer Name[es]=Kupfer Name[eu]=Kupfer Name[fr]=Kupfer Name[gl]=Kupfer Name[hu]=Kupfer Name[it]=Kupfer Name[ko]=?? Name[nb]=Kupfer Name[nl]=Kupfer Name[pl]=Kupfer Name[pt]=Kupfer Name[pt_BR]=Kupfer Name[ru]=Kupfer Name[sl]=Kupfer Name[sv]=Kupfer Name[tr]=Kupfer Name[zh_CN]=Kupfer GenericName=Application Launcher GenericName[ca]=Llançador d'aplicació GenericName[cs]=Spouštec aplikací GenericName[da]=Programopstarter GenericName[de]=Anwendungsstarter GenericName[el]=??????t?? efa?µ???? GenericName[es]=Lanzador de aplicaciones GenericName[eu]=Aplikazioen abiarazlea GenericName[fr]=Lanceur d'applications GenericName[gl]=Iniciador de aplicativos GenericName[hu]=Alkalmazásindító GenericName[it]=Lanciatore di applicazioni GenericName[ko]=?? ???? ?? ??? GenericName[nb]=Programstarter GenericName[nl]=Programmastarter GenericName[pl]=Aktywator programów GenericName[pt]=Lançador de Aplicações GenericName[pt_BR]=Lançador de aplicativos GenericName[ru]=???????? ??????? ?????????? GenericName[sl]=Zaganjalnik programov GenericName[sv]=Programstartare GenericName[tr]=Uygulama Çalistirici GenericName[zh_CN]=????? Comment=Convenient command and access tool for applications and documents Comment[cs]=Nástroj pro pohodlné provádení príkazu a prístup k aplikacím a dokumentum Comment[da]=Nemt kommando- og adgangsværktøj til programmer og dokumenter Comment[de]=Praktisches Befehls- und Zugriffswerkzeug für Anwendungen und Dokumente Comment[el]=?????? e??a?e?? e?t???? ?a? p??sßas?? ??a efa?µ???? ?a? ????afa Comment[es]=Herramienta para acceso y manejo de aplicaciones y documentos Comment[eu]=Komando eta atzipen tresna egokia aplikazio eta dokumentuentzat Comment[fr]=Outil pratique pour accéder à des documents et lancer des applications Comment[gl]=Ferramenta cómoda para controlar e acceder a aplicativos e documentos Comment[hu]=Kényelmes parancs és hozzáférési eszköz az alkalmazásokhoz és dokumentumokhoz Comment[it]=Comodo comando e strumento di accesso per applicazioni e documenti Comment[ko]=???? ???????? ??? ???? ??? ?? ? ?? ?? Comment[nb]=Praktiskt kommandoverktøy for programmer og dokumenter Comment[nl]=Handige opdracht- en toegangshulp voor programma's en documenten Comment[pl]=Wygodne narzedzie do uruchamiania programów i otwierania dokumentów Comment[pt]=Ferramenta conveniente para acesso e gestão de aplicações e documentos Comment[pt_BR]=Uma conveniente ferramenta de comando e acesso para aplicativos e documentos Comment[ru]=??????? ?????????? ??? ???????? ??????? ? ?????????? ? ?????????? Comment[sl]=Prikladno orodje za izvajanje ukazov in dostopa do programov in dokumentov Comment[sv]=Praktiskt kommandoprogram för åtkomst av program och dokument Comment[zh_CN]=???????????????? Icon=kupfer Exec=python /home/user/.local/share/kupfer/kupfer.py %F Type=Application Categories=Utility; StartupNotify=true X-UserData=$CONFIG/kupfer;$DATA/kupfer;$CACHE/kupfer Terminal=false

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• ArchBeat Link-o-Rama Top 10 for September 2-8, 2012

  - by Bob Rhubart

  The Top 10 items shared on the OTN Facebook Page for the week of September 2-8, 2012. Adding a runtime LOV for a taskflow parameter in WebCenter | Yannick Ongena Oracle ACE Yannick Ongena illustrates how to customize the parameters tab for a taskflow in WebCenter. Tips on Migrating from AquaLogic .NET Accelerator to WebCenter WSRP Producer for .NET | Scott Nelson "It has been a very winding path and this blog entry is intended to share both the lessons learned and relevant approaches that led to those learnings," says Scott Nelson. "Like most journeys of discovery, it was not a direct path, and there are notes to let you know when it is practical to skip a section if you are in a hurry to get from here to there." Free Event: Oracle Technology Network Architect Day – Boston, MA – 9/12/2012 Sure, you could ask a voodoo priestess for help in improving your solution architecture skills. But there's the whole snake thing, and the zombie thing, and other complications. So why not keep it simple and register for Oracle Technology Network Architect Day in Boston, MA. There's no magic, just a full day of technical sessions covering Cloud, SOA, Engineered Systems, and more. Registration is free, but seating is limited. You'll curse yourself if you miss this one. Starting and Stopping Fusion Applications the Right Way | Ronaldo Viscuso While the fastartstop tool that ships with Oracle Fusion Applications does most of the work to start/stop/bounce the Fusion Apps environment, it does not do it all. Oracle Fusion Applications A-Team blogger Ronaldo Viscuso's post "aims to explain all tasks involved in starting and stopping a Fusion Apps environment completely." Article Index: Architect Community Column in Oracle Magazine Did you know that Oracle Magazine features a regular column devoted specifically to the architect community? Every issue includes insight and expertise from architects who regularly work with Oracle Technologies. Click here to see a complete list of these articles. Using FMAP and AnalyticsRes in a Oracle BI High Availability Implementation | Art of Business Intelligence "The fmap syntax has been used for a long time in Oracle BI / Siebel Analytics when referencing images inherent in the application as well as custom images," says Oracle ACE Christian Screen. "This syntax is used on Analysis requests an dashboards." Dodeca Customer Feedback - The Rosewood Company | Tim Tow Oracle ACE Director Tim Tow shares anecdotal comments from one of his clients, a company that is deploying Dodeca to replace an aging VBA/Essbase application. Configuring UCM cache to check for external Content Server changes | Martin Deh Oracle WebCenter and ADF A-Team blogger shares the background information and the solution to a recently encountered customer scenario. Attend OTN Architect Day in Los Angeles – by Architects, for Architects – October 25 The OTN Architect Day roadshow stops in Boston next week, then it's on to Los Angeles for another all architecture, all day event on Thursday October 25, 2012 at the Sofitel Los Angeles, 555 Beverly Boulevard, Los Angeles, CA 90048. Like all Architect Day events, this one is absolutley free, so register now. The Role of Oracle VM Server for SPARC In a Virtualization Strategy New OTN article from Matthias Pfutzner. Thought for the Day "Practicing architects, through eduction, experience and examples, accumulate a considerable body of contextual sense by the time they're entrusted with solving a system-level problem…" — Eberhardt Rechtin (January 16, 1926 – April 14, 2006) Source: SoftwareQuotes.com

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• ArchBeat Link-o-Rama for 2012-08-30

  - by Bob Rhubart

  Next Generation Mobile Clients for Oracle Applications & the role of Oracle Fusion Middleware | Manish Palaparthy Manish Palaparthy examines some of Oracle's mobile applications, and takes a look at the underlying technology. Master Data Management: A Foundation for Big Data Analysis | Manouj Tahiliani "Businesses that have embraced MDM to get a single, enriched and unified view of Master data by resolving semantic discrepancies and augmenting the explicit master data information from within the enterprise with implicit data from outside the enterprise like social profiles will have a leg up in embracing Big Data solutions. This is especially true for large and medium-sized businesses in industries like Retail, Communications, Financial Services, etc that would find it very challenging to get comprehensive analytical coverage and derive long-term success without resolving the limitations of the heterogeneous topology that leads to disparate, fragmented and incomplete master data." — Manouj Tahiliani Architect Day: Boston - Agenda Update Here's the latest updated information on the session schedule and content for Oracle Technology Network Architect Day in Boston, MA on September 12, 2012. Registration is open, but seating is limited. OTN Architect Day: Boston is being held on Wednesday September 12, 2012, 8:00 a.m. – 5:00 p.m., at the Boston Marriott Burlington, One Burlington Mall Road, Burlington, MA 01803. Integrating Coherence & Java EE 6 Applications using ActiveCache | Ricardo Ferreira The seamless integration between Oracle Coherence and Oracle WebLogic Server "provides a comprehensive environment to develop applications without the complexity of extra Java code to manage cache as a dependency," explains Ricardo Ferreira, "since Oracle provides a DI (Dependency Injection) mechanism for Coherence, the same DI mechanism available in standard Java EE applications. This feature is called ActiveCache." Ricardo shows you how to configure ActiveCache in WebLogic and your Java EE application. Cloud Infrastructure has a new standard from the DMTF "Unlike a de facto standard where typically one vendor has change control over the interface, and everyone else has to reverse engineer the inner workings of it, [Cloud Infrastructure Management Interface (CIMI)] is a de jure standard that is under change control of a standards body. One reason the standard took two years to create is that we factored in use cases, requirements and contributed APIs from multiple vendors. These vendors have products shipping today and as a result CIMI has a strong foundation in real world experience." Oracle GoldenGate 11g Release Launch Webcast- September 12 The new release of Oracle GoldenGate 11g is now available for major databases and platforms. Register for this webcast and live Q&A with product experts to learn about the solution's new features. September 12, 2012. 8:00am AM and 10:00AM PT. Speakers: Doug Reid (Director, Product Management, Oracle GoldenGate), Irem Radzik (Director, Product Marketing, Oracle Data Integration Products) Thought for the Day "[When] asking skilled architects…what they do when confronted with highly complex problems… [they] would most likely answer, 'Just use Common Sense.' [A] better expression than 'common sense' is 'contextual sense'—a knowledge of what is reasonable within a given context. Practicing architects through eduction, experience and examples accumulate a considerable body of contextual sense by the time they're entrusted with solving a system-level problem…" — Eberhardt Rechtin (January 16, 1926 – April 14, 2006) Source: SoftwareQuotes.com

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• External File Upload Optimizations for Windows Azure

  - by rgillen

  [Cross posted from here: http://rob.gillenfamily.net/post/External-File-Upload-Optimizations-for-Windows-Azure.aspx] I’m wrapping up a bit of the work we’ve been doing on data movement optimizations for cloud computing and the latest set of data yielded some interesting points I thought I’d share. The work done here is not really rocket science but may, in some ways, be slightly counter-intuitive and therefore seemed worthy of posting. Summary: for those who don’t like to read detailed posts or don’t have time, the synopsis is that if you are uploading data to Azure, block your data (even down to 1MB) and upload in parallel. Set your block size based on your source file size, but if you must choose a fixed value, use 1MB. Following the above will result in significant performance gains… upwards of 10x-24x and a reduction in overall file transfer time of upwards of 90% (eg, uploading a 1GB file averaged 46.37 minutes prior to optimizations and averaged 1.86 minutes afterwards). Detail: For those of you who want more detail, or think that the claims at the end of the preceding paragraph are over-reaching, what follows is information and code supporting these claims. As the title would indicate, these tests were run from our research facility pointing to the Azure cloud (specifically US North Central as it is physically closest to us) and do not represent intra-cloud results… we have performed intra-cloud tests and the overall results are similar in notion but the data rates are significantly different as well as the tipping points for the various block sizes… this will be detailed separately). We started by building a very simple console application that would loop through a directory and upload each file to Azure storage. This application used the shipping storage client library from the 1.1 version of the azure tools. The only real variation from the client library is that we added code to collect and record the duration (in ms) and size (in bytes) for each file transferred. The code is available here. We then created a directory that had a collection of files for the following sizes: 2KB, 32KB, 64KB, 128KB, 512KB, 1MB, 5MB, 10MB, 25MB, 50MB, 100MB, 250MB, 500MB, 750MB, and 1GB (50 files for each size listed). These files contained randomly-generated binary data and do not benefit from compression (a separate discussion topic). Our file generation tool is available here. The baseline was established by running the application described above against the directory containing all of the data files. This application uploads the files in a random order so as to avoid transferring all of the files of a given size sequentially and thereby spreading the affects of periodic Internet delays across the collection of results.  We then ran some scripts to split the resulting data and generate some reports. The raw data collected for our non-optimized tests is available via the links in the Related Resources section at the bottom of this post. For each file size, we calculated the average upload time (and standard deviation) and the average transfer rate (and standard deviation). As you likely are aware, transferring data across the Internet is susceptible to many transient delays which can cause anomalies in the resulting data. It is for this reason that we randomized the order of source file processing as well as executed the tests 50x for each file size. We expect that these steps will yield a sufficiently balanced set of results. Once the baseline was collected and analyzed, we updated the test harness application with some methods to split the source file into user-defined block sizes and then to upload those blocks in parallel (using the PutBlock() method of Azure storage). The parallelization was handled by simply relying on the Parallel Extensions to .NET to provide a Parallel.For loop (see linked source for specific implementation details in Program.cs, line 173 and following… less than 100 lines total). Once all of the blocks were uploaded, we called PutBlockList() to assemble/commit the file in Azure storage. For each block transferred, the MD5 was calculated and sent ensuring that the bits that arrived matched was was intended. The timer for the blocked/parallelized transfer method wraps the entire process (source file splitting, block transfer, MD5 validation, file committal). A diagram of the process is as follows: We then tested the affects of blocking & parallelizing the transfers by running the updated application against the same source set and did a parameter sweep on the block size including 256KB, 512KB, 1MB, 2MB, and 4MB (our assumption was that anything lower than 256KB wasn’t worth the trouble and 4MB is the maximum size of a block supported by Azure). The raw data for the parallel tests is available via the links in the Related Resources section at the bottom of this post. This data was processed and then compared against the single-threaded / non-optimized transfer numbers and the results were encouraging. The Excel version of the results is available here. Two semi-obvious points need to be made prior to reviewing the data. The first is that if the block size is larger than the source file size you will end up with a “negative optimization” due to the overhead of attempting to block and parallelize. The second is that as the files get smaller, the clock-time cost of blocking and parallelizing (overhead) is more apparent and can tend towards negative optimizations. For this reason (and is supported in the raw data provided in the linked worksheet) the charts and dialog below ignore source file sizes less than 1MB. (click chart for full size image) The chart above illustrates some interesting points about the results: When the block size is smaller than the source file, performance increases but as the block size approaches and then passes the source file size, you see decreasing benefit to the point of negative gains (see the values for the 1MB file size) For some of the moderately-sized source files, small blocks (256KB) are best As the size of the source file gets larger (see values for 50MB and up), the smallest block size is not the most efficient (presumably due, at least in part, to the increased number of blocks, increased number of individual transfer requests, and reassembly/committal costs). Once you pass the 250MB source file size, the difference in rate for 1MB to 4MB blocks is more-or-less constant The 1MB block size gives the best average improvement (~16x) but the optimal approach would be to vary the block size based on the size of the source file.    (click chart for full size image) The above is another view of the same data as the prior chart just with the axis changed (x-axis represents file size and plotted data shows improvement by block size). It again highlights the fact that the 1MB block size is probably the best overall size but highlights the benefits of some of the other block sizes at different source file sizes. This last chart shows the change in total duration of the file uploads based on different block sizes for the source file sizes. Nothing really new here other than this view of the data highlights the negative affects of poorly choosing a block size for smaller files.   Summary What we have found so far is that blocking your file uploads and uploading them in parallel results in significant performance improvements. Further, utilizing extension methods and the Task Parallel Library (.NET 4.0) make short work of altering the shipping client library to provide this functionality while minimizing the amount of change to existing applications that might be using the client library for other interactions.   Related Resources Source code for upload test application Source code for random file generator ODatas feed of raw data from non-optimized transfer tests Experiment Metadata Experiment Datasets 2KB Uploads 32KB Uploads 64KB Uploads 128KB Uploads 256KB Uploads 512KB Uploads 1MB Uploads 5MB Uploads 10MB Uploads 25MB Uploads 50MB Uploads 100MB Uploads 250MB Uploads 500MB Uploads 750MB Uploads 1GB Uploads Raw Data OData feeds of raw data from blocked/parallelized transfer tests Experiment Metadata Experiment Datasets Raw Data 256KB Blocks 512KB Blocks 1MB Blocks 2MB Blocks 4MB Blocks Excel worksheet showing summarizations and comparisons

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• Ajax Autocomplete Extender

  - by Jason Ulloa

  El objetivo de este post es preparar un ejemplo sobre un tema que es planteado muy frecuentemente en los Foros de MSDN, como realizar un Autocomplete contra una base de datos. Qué requerimos? Antes de poder realizar un Autocomplete debemos tener en cuenta los elementos principales que requerimos para poder hacerlo funcionar, descritos de la siguiente manera: 1. Textbox: Nuestro grandioso amigo Textbox, que será donde el usuario ingresará los datos a buscar. 2. Un Webservice: que contendrá el método que se conectara a la base de datos y devolverá una lista con la información encontrada. 3. Ajax Autocomplete Extender: este es por decirlo así, el elemento más importante. Nos servirá como medio de enlace entre el webservice que expone el método y el textbox recuperando y mostrando los datos en forma de lista desplegable. La implementación Si bien parecierá complicado, crear un autocomplete extender es bastante sencillo. Empezaremos creando un nuevo sitio asp.net, en este sitio agregaremos un textbox y dos controles muy importantes de Ajax el ToolkitScriptManager para controlar el rende rizado de los script de ajax y el AutocompleteExtender que, como mencione anteriormente, será el medio de enlace. Antes de mostrar como quedará el código de lo anterior, explicaré algunas propiedades del AutocompleteExtender para que se entienda de mejor manera: 1. El ServicePath: contiene la ruta relativa al webservice que utilizaremos. 2. MinimumPrefixLength: se refiere al número de caracteres que deben ser digitados antes de iniciar la búsqueda. 3. ServiceMethod: el nombre del metodo de nuestro webservice que se encargará de devolver los datos. 4. EnableCaching: para mantener en cache los datos consultados, obteniendo mayor velocidad. 5. TargetControlID: una de las propiedades más importantes, acá se coloca el nombre del textbox al cual se unirá el Autocomplete 6. CompletionInterval: tiempo que debe transcurrir antes de iniciar con el trabajo de los datos. Una vez, explicadas las propiedades básicas, veamos como queda implementada la primer parte de nuestro autocomplete: <form id="form1" runat="server"> <div> <asp:ToolkitScriptManager ID="manager" runat="server" /> <asp:TextBox ID="TextBox1" runat="server"></asp:TextBox> <asp:AutoCompleteExtender ID="AutoCompleteExtender1" runat="server" ServicePath="WebService.asmx" MinimumPrefixLength="1" ServiceMethod="PersonasInfo " EnableCaching="true" TargetControlID="TextBox1" UseContextKey="True" CompletionSetCount="10" CompletionInterval="0"> </asp:AutoCompleteExtender> </div> </form>   Ahora que nuestro código html está completo, es hora de trabajar directamente con nuestro webservice, este deberá contener un método que devuelva una lista o arreglo de datos, los cuales por supuesto, serán traídos desde la base de datos. Antes de implementar este método, debemos asegurarnos de que nuestra clase del webservice tiene habilitados los espacios para ser utilizada [System.Web.Script.Services.ScriptService()] [WebService(Namespace = "http://tempuri.org/")] [WebServiceBinding(ConformsTo = WsiProfiles.BasicProfile1_1)] public class WebService : System.Web.Services.WebService {}   Ahora si, nuestro metodo principal [WebMethod()] [System.Web.Script.Services.ScriptMethod()] public string[] PersonasInfo(string prefixText, int count) { string connstring = ConfigurationManager.ConnectionStrings["LocalSqlServer"].ConnectionString;   using (SqlConnection conn = new SqlConnection(connstring)) { SqlCommand comando = new SqlCommand("select nombre from personas where nombre LIKE '%' + @param + '%' ", conn); comando.Parameters.AddWithValue("@param", prefixText); SqlDataReader dr = default(SqlDataReader); comando.Connection.Open(); dr = comando.ExecuteReader(); List<string> items = new List<string>();   while (dr.Read()) { items.Add(dr["nombre"].ToString()); } comando.Connection.Close(); return items.ToArray(); } }   Del método anterior no explicaré en profundidad, pues es bastante sencillo. Una consulta a la base de datos utilizando un datareader y devolviendo los datos en una lista como arreglo. Lo más importante serían las 2 primeras líneas [WebMethod()] y el [ScriptMethod()] las cuales habilitan nuestro método para poder ser accedido y utilizado. Por último, el código de ejemplo en C# (VB Autcomplete):

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• Can Google Employees See My Saved Google Chrome Passwords?

  - by Jason Fitzpatrick

  Storing your passwords in your web browser seems like a great time saver, but are the passwords secure and inaccessible to others (even employees of the browser company) when squirreled away? Today’s Question & Answer session comes to us courtesy of SuperUser—a subdivision of Stack Exchange, a community-driven grouping of Q&A web sites. The Question SuperUser reader MMA is curious if Google employees have (or could have) access to the passwords he stores in Google Chrome: I understand that we are really tempted to save our passwords in Google Chrome. The likely benefit is two fold, You don’t need to (memorize and) input those long and cryptic passwords. These are available wherever you are once you log in to your Google account. The last point sparked my doubt. Since the password is available anywhere, the storage must in some central location, and this should be at Google. Now, my simple question is, can a Google employee see my passwords? Searching over the Internet revealed several articles/messages. Do you save passwords in Chrome? Maybe you should reconsider: Talks about your passwords being stolen by someone who has access to your computer account. Nothing mentioned about the central storage security and vulnerability. There is even a response from Chrome browser security tech lead about the first issue. Chrome’s insane password security strategy: Mostly along the same line. You can steal password from somebody if you have access to the computer account. How to Steal Passwords Saved in Google Chrome in 5 Simple Steps: Teaches you how to actually perform the act mentioned in the previous two when you have access to somebody else’s account. There are many more (including this one at this site), mostly along the same line, points, counter-points, huge debates. I refrain from mentioning them here, simply carry a search if you want to find them. Coming back to my original query, can a Google employee see my password? Since I can view the password using a simple button, definitely they can be unhashed (decrypted) even if encrypted. This is very different from the passwords saved in Unix-like OS’s where the saved password can never be seen in plain text. They use a one-way encryption algorithm to encrypt your passwords. This encrypted password is then stored in the passwd or shadow file. When you attempt to login, the password you type in is encrypted again and compared with the entry in the file that stores your passwords. If they match, it must be the same password, and you are allowed access. Thus, a superuser can change my password, can block my account, but he can never see my password. So are his concerns well founded or will a little insight dispel his worry? The Answer SuperUser contributor Zeel helps put his mind at ease: Short answer: No* Passwords stored on your local machine can be decrypted by Chrome, as long as your OS user account is logged in. And then you can view those in plain text. At first this seems horrible, but how did you think auto-fill worked? When that password field gets filled in, Chrome must insert the real password into the HTML form element – or else the page wouldn’t work right, and you could not submit the form. And if the connection to the website is not over HTTPS, the plain text is then sent over the internet. In other words, if chrome can’t get the plain text passwords, then they are totally useless. A one way hash is no good, because we need to use them. Now the passwords are in fact encrypted, the only way to get them back to plain text is to have the decryption key. That key is your Google password, or a secondary key you can set up. When you sign into Chrome and sync the Google servers will transmit the encrypted passwords, settings, bookmarks, auto-fill, etc, to your local machine. Here Chrome will decrypt the information and be able to use it. On Google’s end all that info is stored in its encrpyted state, and they do not have the key to decrypt it. Your account password is checked against a hash to log in to Google, and even if you let chrome remember it, that encrypted version is hidden in the same bundle as the other passwords, impossible to access. So an employee could probably grab a dump of the encrypted data, but it wouldn’t do them any good, since they would have no way to use it.* So no, Google employees can not** access your passwords, since they are encrypted on their servers. * However, do not forget that any system that can be accessed by an authorized user can be accessed by an unauthorized user. Some systems are easier to break than other, but none are fail-proof. . . That being said, I think I will trust Google and the millions they spend on security systems, over any other password storage solution. And heck, I’m a wimpy nerd, it would be easier to beat the passwords out of me than break Google’s encryption. ** I am also assuming that there isn’t a person who just happens to work for Google gaining access to your local machine. In that case you are screwed, but employment at Google isn’t actually a factor any more. Moral: Hit Win + L before leaving machine. While we agree with zeel that it’s a pretty safe bet (as long as your computer is not compromised) that your passwords are in fact safe while stored in Chrome, we prefer to encrypt all our logins and passwords in a LastPass vault. Have something to add to the explanation? Sound off in the the comments. Want to read more answers from other tech-savvy Stack Exchange users? Check out the full discussion thread here.     

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• VirtualBox 3.2 is released! A Red Letter Day?

  - by Fat Bloke

  Big news today! A new release of VirtualBox packed full of innovation and improvements. Over the next few weeks we'll take a closer look at some of these new features in a lot more depth, but today we'll whet your appetite with the headline descriptions. To start with, we should point out that this is the first Oracle-branded version which makes today a real Red-letter day ;-)  Oracle VM VirtualBox 3.2 Version 3.2 moves VirtualBox forward in 3 main areas ( handily, all beginning with "P" ) : performance, power and supported guest operating system platforms.  Let's take a look: Performance New Latest Intel hardware support - Harnessing the latest in chip-level support for virtualization, VirtualBox 3.2 supports new Intel Core i5 and i7 processor and Intel Xeon processor 5600 Series support for Unrestricted Guest Execution bringing faster boot times for everything from Windows to Solaris guests; New Large Page support - Reducing the size and overhead of key system resources, Large Page support delivers increased performance by enabling faster lookups and shorter table creation times. New In-hypervisor Networking - Significant optimization of the networking subsystem has reduced context switching between guests and host, increasing network throughput by up to 25%. New New Storage I/O subsystem - VirtualBox 3.2 offers a completely re-worked virtual disk subsystem which utilizes asynchronous I/O to achieve high-performance whilst maintaining high data integrity; New Remote Video Acceleration - The unique built-in VirtualBox Remote Display Protocol (VRDP), which is primarily used in virtual desktop infrastructure deployments, has been enhanced to deliver video acceleration. This delivers a rich user experience coupled with reduced computational expense, which is vital when servers are running hundreds of virtual machines; Power New Page Fusion - Traditional Page Sharing techniques have suffered from long and expensive cache construction as pages are scrutinized as candidates for de-duplication. Taking a smarter approach, VirtualBox Page Fusion uses intelligence in the guest virtual machine to determine much more rapidly and accurately those pages which can be eliminated thereby increasing the capacity or vm density of the system; New Memory Ballooning- Ballooning provides another method to increase vm density by allowing the memory of one guest to be recouped and made available to others; New Multiple Virtual Monitors - VirtualBox 3.2 now supports multi-headed virtual machines with up to 8 virtual monitors attached to a guest. Each virtual monitor can be a host window, or be mapped to the hosts physical monitors; New Hot-plug CPU's - Modern operating systems such Windows Server 2008 x64 Data Center Edition or the latest Linux server platforms allow CPUs to be dynamically inserted into a system to provide incremental computing power while the system is running. Version 3.2 introduces support for Hot-plug vCPUs, allowing VirtualBox virtual machines to be given more power, with zero-downtime of the guest; New Virtual SAS Controller - VirtualBox 3.2 now offers a virtual SAS controller, enabling it to run the most demanding of high-end guests; New Online Snapshot Merging - Snapshots are powerful but can eat up disk space and need to be pruned from time to time. Historically, machines have needed to be turned off to delete or merge snapshots but with VirtualBox 3.2 this operation can be done whilst the machines are running. This allows sophisticated system management with minimal interruption of operations; New OVF Enhancements - VirtualBox has supported the OVF standard for virtual machine portability for some time. Now with 3.2, VirtualBox specific configuration data is also stored in the standard allowing richer virtual machine definitions without compromising portability; New Guest Automation - The Guest Automation APIs allow host-based logic to drive operations in the guest; Platforms New USB Keyboard and Mouse - Support more guests that require USB input devices; New Oracle Enterprise Linux 5.5 - Support for the latest version of Oracle's flagship Linux platform; New Ubuntu 10.04 ("Lucid Lynx") - Support for both the desktop and server version of the popular Ubuntu Linux distribution; And as a man once said, "just one more thing" ... New Mac OS X (experimental) - On Apple hardware only, support for creating virtual machines run Mac OS X. All in all this is a pretty powerful release packed full of innovation and speedups. So what are you waiting for?  -FB 

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• World Record Siebel PSPP Benchmark on SPARC T4 Servers

  - by Brian

  Oracle's SPARC T4 servers set a new World Record for Oracle's Siebel Platform Sizing and Performance Program (PSPP) benchmark suite. The result used Oracle's Siebel Customer Relationship Management (CRM) Industry Applications Release 8.1.1.4 and Oracle Database 11g Release 2 running Oracle Solaris on three SPARC T4-2 and two SPARC T4-1 servers. The SPARC T4 servers running the Siebel PSPP 8.1.1.4 workload which includes Siebel Call Center and Order Management System demonstrates impressive throughput performance of the SPARC T4 processor by achieving 29,000 users. This is the first Siebel PSPP 8.1.1.4 benchmark supporting 29,000 concurrent users with a rate of 239,748 Business Transactions/hour. The benchmark demonstrates vertical and horizontal scalability of Siebel CRM Release 8.1.1.4 on SPARC T4 servers. Performance Landscape Systems Txn/hr Users Call Center Order Management Response Times (sec) 1 x SPARC T4-1 (1 x SPARC T4 2.85 GHz) – Web 3 x SPARC T4-2 (2 x SPARC T4 2.85 GHz) – App/Gateway 1 x SPARC T4-1 (1 x SPARC T4 2.85 GHz) – DB 239,748 29,000 0.165 0.925 Oracle: Call Center + Order Management Transactions: 197,128 + 42,620 Users: 20300 + 8700 Configuration Summary Web Server Configuration: 1 x SPARC T4-1 server 1 x SPARC T4 processor, 2.85 GHz 128 GB memory Oracle Solaris 10 8/11 iPlanet Web Server 7 Application Server Configuration: 3 x SPARC T4-2 servers, each with 2 x SPARC T4 processor, 2.85 GHz 256 GB memory 3 x 300 GB SAS internal disks Oracle Solaris 10 8/11 Siebel CRM 8.1.1.5 SIA Database Server Configuration: 1 x SPARC T4-1 server 1 x SPARC T4 processor, 2.85 GHz 128 GB memory Oracle Solaris 11 11/11 Oracle Database 11g Release 2 (11.2.0.2) Storage Configuration: 1 x Sun Storage F5100 Flash Array 80 x 24 GB flash modules Benchmark Description Siebel 8.1 PSPP benchmark includes Call Center and Order Management: Siebel Financial Services Call Center – Provides the most complete solution for sales and service, allowing customer service and telesales representatives to provide superior customer support, improve customer loyalty, and increase revenues through cross-selling and up-selling. High-level description of the use cases tested: Incoming Call Creates Opportunity, Quote and Order and Incoming Call Creates Service Request . Three complex business transactions are executed simultaneously for specific number of concurrent users. The ratios of these 3 scenarios were 30%, 40%, 30% respectively, which together were totaling 70% of all transactions simulated in this benchmark. Between each user operation and the next one, the think time averaged approximately 10, 13, and 35 seconds respectively. Siebel Order Management – Oracle's Siebel Order Management allows employees such as salespeople and call center agents to create and manage quotes and orders through their entire life cycle. Siebel Order Management can be tightly integrated with back-office applications allowing users to perform tasks such as checking credit, confirming availability, and monitoring the fulfillment process. High-level description of the use cases tested: Order & Order Items Creation and Order Updates. Two complex Order Management transactions were executed simultaneously for specific number of concurrent users concurrently with aforementioned three Call Center scenarios above. The ratio of these 2 scenarios was 50% each, which together were totaling 30% of all transactions simulated in this benchmark. Between each user operation and the next one, the think time averaged approximately 20 and 67 seconds respectively. Key Points and Best Practices No processor cores or cache were activated or deactivated on the SPARC T-Series systems to achieve special benchmark effects. See Also Siebel White Papers SPARC T4-1 Server oracle.com OTN SPARC T4-2 Server oracle.com OTN Siebel CRM oracle.com OTN Oracle Solaris oracle.com OTN Oracle Database 11g Release 2 Enterprise Edition oracle.com OTN Disclosure Statement Copyright 2012, Oracle and/or its affiliates. All rights reserved. Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners. Results as of 30 September 2012.

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• How the SPARC T4 Processor Optimizes Throughput Capacity: A Case Study

  - by Ruud

  This white paper demonstrates the architected latency hiding features of Oracle’s UltraSPARC T2+ and SPARC T4 processors That is the first sentence from this technical white paper, but what does it exactly mean? Let's consider a very simple example, the computation of a = b + c. This boils down to the following (pseudo-assembler) instructions that need to be executed: load @b, r1 load @c, r2 add r1,r2,r3 store r3, @a The first two instructions load variables b and c from an address in memory (here symbolized by @b and @c respectively). These values go into registers r1 and r2. The third instruction adds the values in r1 and r2. The result goes into register r3. The fourth instruction stores the contents of r3 into the memory address symbolized by @a. If we're lucky, both b and c are in a nearby cache and the load instructions only take a few processor cycles to execute. That is the good case, but what if b or c, or both, have to come from very far away? Perhaps both of them are in the main memory and then it easily takes hundreds of cycles for the values to arrive in the registers. Meanwhile the processor is doing nothing and simply waits for the data to arrive. Actually, it does something. It burns cycles while waiting. That is a waste of time and energy. Why not use these cycles to execute instructions from another application or thread in case of a parallel program? That is exactly what latency hiding on the SPARC T-Series processors does. It is a hardware feature totally transparent to the user and application. As soon as there is a delay in the execution, the hardware uses these otherwise idle cycles to execute instructions from another process. As a result, the throughput capacity of the system improves because idle cycles are no longer wasted and therefore more jobs can be run per unit of time. This feature has been in the SPARC T-series from the beginning, so why this paper? The difference with previous publications on this topic is in the amount of detail given. How this all works under the hood is fully explained using two example programs. Starting from the assembly language instructions, it is demonstrated in what way these programs execute. To really see what is happening we go down to the processor pipeline level, where the gaps in the execution are, and show in what way these idle cycles are filled by other copies of the same program running simultaneously. Both the SPARC T4 as well as the older UltraSPARC T2+ processor are covered. You may wonder why the UltraSPARC T2+ is included. The focus of this work is on the SPARC T4 processor, but to explain the basic concept of latency hiding at this very low level, we start with the UltraSPARC T2+ processor because it is architecturally a much simpler design. From the single issue, in-order pipelines of this processor we then shift gears and cover how this all works on the much more advanced dual issue, out-of-order architecture of the T4. The analysis and performance experiments have been conducted on both processors. The results depend on the processor, but in all cases the theoretical estimates are confirmed by the experiments. If you're interested to read a lot more about this and find out how things really work under the hood, you can download a copy of the paper here. A paper like this could not have been produced without the help of several other people. I want to thank the co-author of this paper, Jared Smolens, for his very valuable contributions and our highly inspiring discussions. I'm also indebted to Thomas Nau (Ulm University, Germany), Shane Sigler and Mark Woodyard (both at Oracle) for their feedback on earlier versions of this paper. Karen Perkins (Perkins Technical Writing and Editing) and Rick Ramsey at Oracle were very helpful in providing editorial and publishing assistance.

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• Efficiently separating Read/Compute/Write steps for concurrent processing of entities in Entity/Component systems

  - by TravisG

  Setup I have an entity-component architecture where Entities can have a set of attributes (which are pure data with no behavior) and there exist systems that run the entity logic which act on that data. Essentially, in somewhat pseudo-code: Entity { id; map<id_type, Attribute> attributes; } System { update(); vector<Entity> entities; } A system that just moves along all entities at a constant rate might be MovementSystem extends System { update() { for each entity in entities position = entity.attributes["position"]; position += vec3(1,1,1); } } Essentially, I'm trying to parallelise update() as efficiently as possible. This can be done by running entire systems in parallel, or by giving each update() of one system a couple of components so different threads can execute the update of the same system, but for a different subset of entities registered with that system. Problem In reality, these systems sometimes require that entities interact(/read/write data from/to) each other, sometimes within the same system (e.g. an AI system that reads state from other entities surrounding the current processed entity), but sometimes between different systems that depend on each other (i.e. a movement system that requires data from a system that processes user input). Now, when trying to parallelize the update phases of entity/component systems, the phases in which data (components/attributes) from Entities are read and used to compute something, and the phase where the modified data is written back to entities need to be separated in order to avoid data races. Otherwise the only way (not taking into account just "critical section"ing everything) to avoid them is to serialize parts of the update process that depend on other parts. This seems ugly. To me it would seem more elegant to be able to (ideally) have all processing running in parallel, where a system may read data from all entities as it wishes, but doesn't write modifications to that data back until some later point. The fact that this is even possible is based on the assumption that modification write-backs are usually very small in complexity, and don't require much performance, whereas computations are very expensive (relatively). So the overhead added by a delayed-write phase might be evened out by more efficient updating of entities (by having threads work more % of the time instead of waiting). A concrete example of this might be a system that updates physics. The system needs to both read and write a lot of data to and from entities. Optimally, there would be a system in place where all available threads update a subset of all entities registered with the physics system. In the case of the physics system this isn't trivially possible because of race conditions. So without a workaround, we would have to find other systems to run in parallel (which don't modify the same data as the physics system), other wise the remaining threads are waiting and wasting time. However, that has disadvantages Practically, the L3 cache is pretty much always better utilized when updating a large system with multiple threads, as opposed to multiple systems at once, which all act on different sets of data. Finding and assembling other systems to run in parallel can be extremely time consuming to design well enough to optimize performance. Sometimes, it might even not be possible at all because a system just depends on data that is touched by all other systems. Solution? In my thinking, a possible solution would be a system where reading/updating and writing of data is separated, so that in one expensive phase, systems only read data and compute what they need to compute, and then in a separate, performance-wise cheap, write phase, attributes of entities that needed to be modified are finally written back to the entities. The Question How might such a system be implemented to achieve optimal performance, as well as making programmer life easier? What are the implementation details of such a system and what might have to be changed in the existing EC-architecture to accommodate this solution?

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• Resolving data redundancy up front

  - by okeofs

  Introduction As all of us do when confronted with a problem, the resource of choice is to ‘Google it’. This is where the plot thickens. Recently I was asked to stage data from numerous databases which were to be loaded into a data warehouse. To make a long story short, I was looking for a manner in which to obtain the table names from each database, to ascertain potential overlap.   As the source data comes from a SQL database created from dumps of a third party product,  one could say that there were +/- 95 tables for each database.   Yes I know that first instinct is to use the system stored procedure “exec sp_msforeachdb 'select "?" AS db, * from [?].sys.tables'”. However, if one stops to think about this, it would be nice to have all the results in a temporary or disc based  table; which in itself , implies additional labour. This said,  I decided to ‘re-invent’ the wheel. The full code sample may be found at the bottom of this article.   Define a few temporary tables and variables   declare @SQL varchar(max); declare @databasename varchar(75) /* drop table ##rawdata3 drop table #rawdata1 drop table #rawdata11 */ -- A temp table to hold the names of my databases CREATE TABLE #rawdata1 (    database_name varchar(50) ,    database_size varchar(50),    remarks Varchar(50) )     --A temp table with the same database names as above, HOWEVER using an --Identity number (recNO) as a loop variable. --You will note below that I loop through until I reach 25 (see below) as at --that point the system databases, the reporting server database etc begin. --1- 24 are user databases. These are really what I was looking for. --Whilst NOT the best solution,it works and the code was meant as a quick --and dirty. CREATE TABLE #rawdata11 (    recNo int identity(1,1),    database_name varchar(50) ,    database_size varchar(50),    remarks Varchar(50) )   --My output table showing the database name and table name CREATE TABLE ##rawdata3 (    database_name varchar(75) ,    table_name varchar(75), )   Insert the database names into a temporary table I pull the database names using the system stored procedure sp_databases   INSERT INTO #rawdata1 EXEC sp_databases Go   Insert the results from #rawdata1 into a table containing a record number  #rawdata11 so that I can LOOP through the extract   INSERT into #rawdata11 select * from  #rawdata1   We now declare 3 more variables:  @kounter is used to keep track of our position within the loop. @databasename is used to keep track of the’ current ‘ database name being used in the current pass of the loop;  as inorder to obtain the tables for that database we  need to issue a ‘USE’ statement, an insert command and other related code parts. This is the challenging part. @sql is a varchar(max) variable used to contain the ‘USE’ statement PLUS the’ insert ‘ code statements. We now initalize @kounter to 1 .   declare @kounter int; declare @databasename varchar(75); declare @sql varchar(max); set @kounter = 1   The Loop The astute reader will remember that the temporary table #rawdata11 contains our  database names  and each ‘database row’ has a record number (recNo). I am only interested in record numbers under 25. I now set the value of the temporary variable @DatabaseName (see below) .Note that I used the row number as a part of the predicate. Now, knowing the database name, I can create dynamic T-SQL to be executed using the sp_sqlexec stored procedure (see the code in red below). Finally, after all the tables for that given database have been placed in temporary table ##rawdata3, I increment the counter and continue on. Note that I used a global temporary table to ensure that the result set persists after the termination of the run. At some stage, I plan to redo this part of the code, as global temporary tables are not really an ideal solution.    WHILE (@kounter < 25)  BEGIN  select @DatabaseName = database_name from #rawdata11 where recNo = @kounter  set @SQL = 'Use ' + @DatabaseName + ' Insert into ##rawdata3 ' + + ' SELECT table_catalog,Table_name FROM information_schema.tables' exec sp_sqlexec  @Sql  SET @kounter  = @kounter + 1  END   The full code extract   Here is the full code sample.   declare @SQL varchar(max); declare @databasename varchar(75) /* drop table ##rawdata3 drop table #rawdata1 drop table #rawdata11 */ CREATE TABLE #rawdata1 (    database_name varchar(50) ,    database_size varchar(50),    remarks Varchar(50) ) CREATE TABLE #rawdata11 (    recNo int identity(1,1),    database_name varchar(50) ,    database_size varchar(50),    remarks Varchar(50) ) CREATE TABLE ##rawdata3 (    database_name varchar(75) ,    table_name varchar(75), )   INSERT INTO #rawdata1 EXEC sp_databases go INSERT into #rawdata11 select * from  #rawdata1 declare @kounter int; declare @databasename varchar(75); declare @sql varchar(max); set @kounter = 1 WHILE (@kounter < 25)  BEGIN  select @databasename = database_name from #rawdata11 where recNo = @kounter  set @SQL = 'Use ' + @DatabaseName + ' Insert into ##rawdata3 ' + + ' SELECT table_catalog,Table_name FROM information_schema.tables' exec sp_sqlexec  @Sql  SET @kounter  = @kounter + 1  END    select * from ##rawdata3  where table_name like '%SalesOrderHeader%'

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• PASS Summit – looking back on my first time

  - by Fatherjack

    So I was lucky enough to get my first experience of PASS Summit this year and took some time beforehand to read some blogs and reference material to get an idea on what to do and how to get the best out of my visit. Having been to other conferences – technical and non-technical – I had a reasonable idea on the routine and what to expect in general. Here is a list of a few things that I have learned/remembered as the week has gone by. Wear comfortable shoes. This actually needs to be broadened to Take several pairs of comfortable shoes. You will be spending many many hours, for several days one after another. Having comfortable feet that can literally support you for the duration will make the week in general a whole lot better. Not only at the conference but getting to and from you could well be walking. In the evenings you will be walking around town and standing talking in various bars and clubs. Looking back, on some days I was on my feet for over 20 hours. Make friends. This is a given for the long term benefits it brings but there is also an immediate reward in being at a conference with a friend or two. Some events are bigger and more popular than others and some have the type of session that every single attendee will want to be in. This is great for those that get in but if you are in the bathroom or queuing for coffee and you miss out it sucks. Having a friend that can get in to a room and reserve you a seat is a great advantage to make sure you get the content that you want to see and still have the coffee that you need. Don’t go to every session you want to see This might sound counter intuitive and it relies on the sessions being recorded in some way to guarantee you don’t totally miss out. Both PASS Summit and SQL Bits sessions are recorded (summit is audio, SQLBits is video) and this means that if you get into a good conversation with someone over a coffee you don’t have to break it up to go to a session. Obviously there is a trade-off here and you need to decide on the tipping point for yourself but a conversation at a place like this could make a big difference to the next contract or employer you have or it might simply be great catching up with some friends you don’t see so often. Go to at least one session you don’t want to Again, this will seem to be contrary to normal logic but there is no reason why you shouldn’t learn about a part of SQL Server that isn’t part of your daily routine. Not only will you learn something new but you will also pick up on the feelings and attitudes of the people in the session. So, if you are a DBA, head off to a BI session and so on. You’ll hear BI speakers speaking to a BI audience and get to understand their point of view and reasoning for making the decisions they do. You will also appreciate the way that your decisions and instructions affect the way they have to work. This will help you a lot when you are on a project, working with multiple teams and make you all more productive. Socialise While you are at the conference venue, speak to people. Ask questions, be interested in whoever you are speaking to. You get chances to talk to new friends at breakfast, dinner and every break between sessions. The only people that might not talk to you would be speakers that are about to go and give a session, in most cases speakers like peace and quiet before going on stage. Other than that the people around you are just waiting for someone to talk to them so make the first move. There is a whole lot going on outside of the conference hours and you should make an effort to join in with some of this too. At karaoke evenings or just out for a quiet drink with a few of the people you meet at the conference. Either way, don’t be a recluse and hide in your room or be alone out in the town. Don’t talk to people Once again this sounds wrong but stay with me. I have spoken to a number of speakers since Summit 2013 finished and they have all mentioned the time it has taken them to move about the conference venue due to people stopping them for a chat or to ask a question. 45 minutes to walk from a session room to the speaker room in one case. Wow. While none of the speakers were upset about this sort of delay I think delegates should take the situation into account and possibly defer their question to an email or to a time when the person they want is clearly less in demand. Give them a chance to enjoy the conference in the same way that you are, they may actually want to go to a session or just have a rest after giving their session – talking for 75 minutes is hard work, taking an extra 45 minutes right after is unbelievable. I certainly hope that they get good feedback on their sessions and perhaps if you spoke to a speaker outside a session you can give them a mention in the ‘any other comments’ part of the feedback, just to convey your gratitude for them giving up their time and expertise for free. Say thank you I just mentioned giving the speakers a clear, visible ‘thank you’ in the feedback but there are plenty of people that help make any conference the success it is that would really appreciate hearing that their efforts are valued. People on the registration desk, volunteers giving schedule guidance and directions, people on the community zone are all volunteers giving their time to help you have the best experience possible. Send an email to PASS and convey your thoughts about the work that was done. Maybe you want to be a volunteer next time so you could enquire how you get into that position at the same time. This isn’t an exclusive list and you may agree or disagree with the points I have made, please add anything you think is good advice in the comments. I’d like to finish by saying a huge thank you to all the people involved in planning, facilitating and executing the PASS Summit 2013, it was an excellent event and I know many others think it was a totally worthwhile event to attend.

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