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  • Drag & Drop in APEX-Anwendungen realisieren

    - by Carsten Czarski
    In diesem Tipp stellen wir Ihnen vor, wie Sie Drag & Drop in Ihrer APEX-Anwendung realisieren können. Das ist gar nicht so aufwändig, wie man denke, denn das in APEX enthaltene jQuery UI erledigt den Löwenanteil der Arbeit, so dass nur noch wenige JavaScript-Aufrufe abzusetzen sind. Lesen Sie, wie Sie in Ihrer eigenen APEX-Anwendung Zeilen aus der Tabelle EMP per Drag & Drop zu Zeilen der Tabelle DEPT zuordnen können.

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  • PanelCollection Confusion ... or, what is an event root ?

    - by frank.nimphius
    Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} A command button added to the toolbar of a Panel Collection component does not cause field validation in a form when pressed. While this appears confusing it works as designed. Instead of a full page re-rendering, ADF Faces events and components can trigger partial page refresh, in which only portions of a page are refresh upon a request. In addition, some components - including the af:popup and af:subForm - represent event roots. Event roots don't propagated event notification outside of the component tag boundary, which means that the ADF Faces lifecycle only executed on components that are children of the event root component. The PanelCollection component is an event root and therefore only validates and refreshes data of its child components.

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  • WebLogic Server Performance and Tuning: Part II - Thread Management

    - by Gokhan Gungor
    WebLogic Server, like any other java application server, provides resources so that your applications use them to provide services. Unfortunately none of these resources are unlimited and they must be managed carefully. One of these resources is threads which are pooled to provide better throughput and performance along with the fast response time and to avoid deadlocks. Threads are execution points that WebLogic Server delivers its power and execute work. Managing threads is very important because it may affect the overall performance of the entire system. In previous releases of WebLogic Server 9.0 we had multiple execute queues and user defined thread pools. There were different queues for different type of work which had fixed number of execute threads.  Tuning of this thread pools and finding the proper number of threads was time consuming which required many trials. WebLogic Server 9.0 and the following releases use a single thread pool and a single priority-based execute queue. All type of work is executed in this single thread pool. Its size (thread count) is automatically decreased or increased (self-tuned). The new “self-tuning” system simplifies getting the proper number of threads and utilizing them.Work manager allows your applications to run concurrently in multiple threads. Work manager is a mechanism that allows you to manage and utilize threads and create rules/guidelines to follow when assigning requests to threads. We can set a scheduling guideline or priority a request with a work manager and then associate this work manager with one or more applications. At run-time, WebLogic Server uses these guidelines to assign pending work/requests to execution threads. The position of a request in the execute queue is determined by its priority. There is a default work manager that is provided. The default work manager should be sufficient for most applications. However there can be cases you want to change this default configuration. Your application(s) may be providing services that need mixture of fast response time and long running processes like batch updates. However wrong configuration of work managers can lead a performance penalty while expecting improvement.We can define/configure work managers at;•    Domain Level: config.xml•    Application Level: weblogic-application.xml •    Component Level: weblogic-ejb-jar.xml or weblogic.xml(For a specific web application use weblogic.xml)We can use the following predefined rules/constraints to manage the work;•    Fair Share Request Class: Specifies the average thread-use time required to process requests. The default is 50.•    Response Time Request Class: Specifies a response time goal in milliseconds.•    Context Request Class: Assigns request classes to requests based on context information.•    Min Threads Constraint: Limits the number of concurrent threads executing requests.•    Max Threads Constraint: Guarantees the number of threads the server will allocate to requests.•    Capacity Constraint: Causes the server to reject requests only when it has reached its capacity. Let’s create a work manager for our application for a long running work.Go to WebLogic console and select Environment | Work Managers from the domain structure tree. Click New button and select Work manager and click next. Enter the name for the work manager and click next. Then select the managed server instances(s) or clusters from available targets (the one that your long running application is deployed) and finish. Click on MyWorkManager, and open the Configuration tab and check Ignore Stuck Threads and save. This will prevent WebLogic to tread long running processes (that is taking more than a specified time) as stuck and enable to finish the process.

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  • Reminder: GlassFish 3.1 Clustering Webinar Today!

    - by alexismp
    Quick reminder for those of you that missed the GlassFish Clustering Webinar from March, we have a new session today (June 28th, 2011). The session is planned at 10:00 a.m. PT / 1:00 p.m. ET / 19.00 CT and you'll need to register first. John Clingan, Principal Product Manager for GlassFish, will walk you through the various clustering features introduced and enhanced in version 3.1. This includes the SSH-based provisioning of clusters (never log in to any machine again), the centralized administration, High Availability and smart failover, load-balancer, Domain Admin Server (DAS) performance improvements, cluster deployments and more. Other than learning about these new product features this is also your chance to ask questions to John and other GlassFish team members. See you there!

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  • Standards Matter: The Battle For Interoperability Continues

    - by michael.rowell
    Great Article, although it is a little dated at this point. Information Week Article Standards Matter: The Battle for Interoperability goes on Summary If you're guilty of relegating standards support to a "nice to have" feature rather than a requirement, you're part of the problem. If you want products to interoperate, be prepared to walk away if a vendor can't prove compliance. Don't be brushed off with promises of standards support "on the road map." The alternative is vendor lock-in and higher costs, including the cost of maintaining systems that don't work together. Standards bodies are imperfect and must do better. The alternative: splintered networks and broken promises. The point: "The secret sauce to a successful 'working standard' isn't necessarily IETF or another longstanding body," says Jonathan Feldman, director of IT services for the city of Asheville, N.C., and an InformationWeek Analytics contributor. "Rather, an earnest and honest effort by a group that has governance outside of a single corporation's control is what's important." In order to have true interoperability vendors as well as customers must be actively engaged in the standards process. Vendors must be willing to truly work together and not be protecting an existing product. Customers must also be willing to truly to work together and not be demanding a solution that only meets their needs but instead meets the needs of all participants. Ultimately, customers must be willing to reward vendor compliance by requiring compliance in products and services that they purchase and deploy. Managers that deploy systems without compliance to standards are only hurting themselves. Standards do matter. When developed openly and deployed compliantly standards deliver interoperability which provides solid business value.

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  • History of Mobile Technology

    - by David Dorf
    Over the last ten years, mobile phones have gone through several incremental technology leaps that have added capabilities that impact the retail industry.  I've listed the six major ones below, along with their long-lasting impact. 1. Location In the US, the FCC required mobile phones to implement E911 (emergency calls) by 2006, requiring the caller to be located to within 300 meters.  Back in 2000, GPS was opened up for civilian use, and by 2004 Qualcomm had figured out how to use GPS in mobile phones.  So mobile operators moved from cell tower triangulation to GPS, principally for E911.  But then lots of other uses became apparent, especially navigation.  The earliest mobile apps from retailers made it easy to find nearby stores, and companies are looking at ways to use WiFi triangulation inside stores. 2. Computer Vision In 1997 Philippe Kahn shared a photo of his newborn using a mobile phone thus launching the popularity of instant visual communications.  Over the years the quality of the cameras got better, reaching the point where barcodes could be read around 2008.  That's when Occipital came on the scene with their Red Laser application, which was eventually acquired by eBay.  This opened up the ability for consumers to easily price compare inside stores.  Other interesting apps included Tesco's Wine Finder and Amazon's Price Checker, both allowing products to be identified by picture. 3. Augmented Reality Once the mobile phone had GPS, a video camera, and compass functionality it was suddenly possible to overlay digital information on the screen in real-time.  Yelp, which was using GPS to find nearby merchants, created a backdoor called Monocle on the iPhone that showed nearby merchants overlayed on the video camera view.  Today AR apps are mostly used by retailers for marketing, like Moosejaw's app that undresses models in their catalog. 4. Geo-Fencing So if we're able to track the location of a mobile phone, why not use that context to offer timely information?  My first experience with geo-fencing came courtesy of North Face, the outdoor enthusiast store. When a mobile phone enters a predetermined area, like near a store, a text message is sent to phone with an offer or useful information.  Of course retailers can geo-fence their competitors as well and find out which customers are aren't so loyal. 5. Digital Wallet Mobile payments leverage different technologies such as NFC, QRCodes, bluetooth, and SMS to facilitate communication between the consumers's phone and the retailer's point-of-sale. The key here is the potential to consolidate loyalty cards, coupons, and bank cards into the mobile phone and enable faster checkout.  Nobody does this better than Starbucks today, but McDonald's and Duncan Donuts aren't far behind.  Google, Isis, Paypal, Square, and MCX are all vying for leadership in this area.  If NFC does finally take off, it will be leveraged by retailers in more places than just the POS. 6. Voice Response Mobile Phones have had the ability to interpret simple voice commands for a while, but Google and Amazon were the first to use voice to allow searches for products.  Allowing searches by text, barcode, and voice makes it easy to comparison shop in the aisles.  Walmart even uses voice to build shopping lists, and if the Siri API is even opened we could see lots more innovation in this area.

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  • Another JavaOne Latin America around the corner

    - by alexismp
    For the second year in a row, JavaOne is traveling to Latin America : São Paulo on December 6-8, 2011 at the Transamerica Expo Center. As with any such event, participants will be able to attend the Strategy, Technical and Community Keynotes, a large number of Sessions (including Hands-On Labs) which include a good number of local speakers chosen with a dedicated Call for Papers, and wander around the Exhibition Hall. Both Java EE 6 and GlassFish will be well represented in keynotes, sessions and hands-on labs. You can follow updates to this upcoming conference on Twitter and of course Register! New this year is the "Meet your Java gurus" geek bike ride that Fabiane and friends are organizing São Paulo on the Sunday prior to the conference. Sounds like fun!

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  • Lack of Transparency in the Supply Chain Results in Inconsistent Reporting on Conflict Minerals

    - by Terri Hiskey
    May 31, 2014 was the official deadline for U.S.-listed companies to disclose use of conflict minerals to the SEC. Of the estimated 6,000 companies that were required to file audits of their tin, gold, tungsten or tantalum in their products, only 1,300 filed reports, and these results have revealed the ongoing challenges that many manufacturers are having complying with this legislation. An article authored by IDC analyst Heather Ashton,"Conflict Minerals Reporting Passes a Notable Milestone" notes that many leading companies such as Intel, Apple and HP filed their reports ahead of the deadline, but other companies are struggling with trying to trace their supply chain back to raw materials, especially as many non-U.S. based suppliers have no legal requirement to comply with the law since they are not U.S.-listed companies. This has resulted in widely varying levels of reporting from company to company. Check out the full article here. Are your customers experiencing the same pains?

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  • Code Coverage for Maven Integrated in NetBeans IDE 7.2

    - by Geertjan
    In NetBeans IDE 7.2, JaCoCo is supported natively, i.e., out of the box, as a code coverage engine for Maven projects, since Cobertura does not work with JDK 7 language constructs. (Although, note that Cobertura is supported as well in NetBeans IDE 7.2.) It isn't part of NetBeans IDE 7.2 Beta, so don't even try there; you need some development build from after that. I downloaded the latest development build today. To enable JaCoCo features in NetBeans IDE, you need do no different to what you'd do when enabling JaCoCo in Maven itself, which is rather wonderful. In both cases, all you need to do is add this to the "plugins" section of your POM: <plugin> <groupId>org.jacoco</groupId> <artifactId>jacoco-maven-plugin</artifactId> <version>0.5.7.201204190339</version> <executions> <execution> <goals> <goal>prepare-agent</goal> </goals> </execution> <execution> <id>report</id> <phase>prepare-package</phase> <goals> <goal>report</goal> </goals> </execution> </executions> </plugin> Now you're done and ready to examine the code coverage of your tests, whether they are JUnit or TestNG. At this point, i.e., for no other reason than that you added the above snippet into your POM, you will have a new Code Coverage menu when you right-click on the project node: If you click Show Report above, the Code Coverage Report window opens. Here, once you've run your tests, you can actually see how many classes have been covered by your tests, which is pretty useful since 100% tests passing doesn't mean much when you've only tested one class, as you can see very graphically below: Then, when you click the bars in the Code Coverage Report window, the class under test is shown, with the methods for which tests exist highlighted in green and those that haven't been covered in red: (Note: Of course, striving for 100% code coverage is a bit nonsensical. For example, writing tests for your getters and setters may not be the most useful way to spend one's time. But being able to measure, and visualize, code coverage is certainly useful regardless of the percentage you're striving to achieve.) Best of all about all this is that everything you see above is available out of the box in NetBeans IDE 7.2. Take a look at what else NetBeans IDE 7.2 brings for the first time to the world of Maven: http://wiki.netbeans.org/NewAndNoteworthyNB72#Maven

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  • Draggable & Resizable Editors

    - by Geertjan
    Thanks to a cool tip from Steven Yi (here in the comments to a blog entry), I was able to make a totally pointless but fun set of draggable and resizable editors: What you see above are two JEditorPanes within JPanels. The JPanels are within ComponentWidgets provided by the NetBeans Visual Library, which is also where the special border comes from. The ComponentWidgets are within a Visual Library Scene, which is within a JScrollPane in a TopComponent. Each editor has this, which means the NetBeans Java Editor is bound to the JEditorPane: jEditorPane1.setContentType("text/x-java"); EditorKit kit = CloneableEditorSupport.getEditorKit("text/x-java"); jEditorPane1.setEditorKit(kit); jEditorPane1.getDocument().putProperty("mimeType", "text/x-java"); A similar thing is done in the other JEditorPane, i.e., it is bound to the XML Editor. While the XML Editor also has code completion, in addition to syntax coloring, as can be seen above, this is not the case for the JEditorPane bound to the Java Editor, since the JEditorPane doesn't have a Java classpath, which is needed for Java code completion to work.

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  • JPRT: A Build & Test System

    - by kto
    DRAFT A while back I did a little blogging on a system called JPRT, the hardware used and a summary on my java.net weblog. This is an update on the JPRT system. JPRT ("JDK Putback Reliablity Testing", but ignore what the letters stand for, I change what they mean every day, just to annoy people :\^) is a build and test system for the JDK, or any source base that has been configured for JPRT. As I mentioned in the above blog, JPRT is a major modification to a system called PRT that the HotSpot VM development team has been using for many years, very successfully I might add. Keeping the source base always buildable and reliable is the first step in the 12 steps of dealing with your product quality... or was the 12 steps from Alcoholics Anonymous... oh well, anyway, it's the first of many steps. ;\^) Internally when we make changes to any part of the JDK, there are certain procedures we are required to perform prior to any putback or commit of the changes. The procedures often vary from team to team, depending on many factors, such as whether native code is changed, or if the change could impact other areas of the JDK. But a common requirement is a verification that the source base with the changes (and merged with the very latest source base) will build on many of not all 8 platforms, and a full 'from scratch' build, not an incremental build, which can hide full build problems. The testing needed varies, depending on what has been changed. Anyone that was worked on a project where multiple engineers or groups are submitting changes to a shared source base knows how disruptive a 'bad commit' can be on everyone. How many times have you heard: "So And So made a bunch of changes and now I can't build!". But multiply the number of platforms by 8, and make all the platforms old and antiquated OS versions with bizarre system setup requirements and you have a pretty complicated situation (see http://download.java.net/jdk6/docs/build/README-builds.html). We don't tolerate bad commits, but our enforcement is somewhat lacking, usually it's an 'after the fact' correction. Luckily the Source Code Management system we use (another antique called TeamWare) allows for a tree of repositories and 'bad commits' are usually isolated to a small team. Punishment to date has been pretty drastic, the Queen of Hearts in 'Alice in Wonderland' said 'Off With Their Heads', well trust me, you don't want to be the engineer doing a 'bad commit' to the JDK. With JPRT, hopefully this will become a thing of the past, not that we have had many 'bad commits' to the master source base, in general the teams doing the integrations know how important their jobs are and they rarely make 'bad commits'. So for these JDK integrators, maybe what JPRT does is keep them from chewing their finger nails at night. ;\^) Over the years each of the teams have accumulated sets of machines they use for building, or they use some of the shared machines available to all of us. But the hunt for build machines is just part of the job, or has been. And although the issues with consistency of the build machines hasn't been a horrible problem, often you never know if the Solaris build machine you are using has all the right patches, or if the Linux machine has the right service pack, or if the Windows machine has it's latest updates. Hopefully the JPRT system can solve this problem. When we ship the binary JDK bits, it is SO very important that the build machines are correct, and we know how difficult it is to get them setup. Sure, if you need to debug a JDK problem that only shows up on Windows XP or Solaris 9, you'll still need to hunt down a machine, but not as a regular everyday occurance. I'm a big fan of a regular nightly build and test system, constantly verifying that a source base builds and tests out. There are many examples of automated build/tests, some that trigger on any change to the source base, some that just run every night. Some provide a protection gateway to the 'golden' source base which only gets changes that the nightly process has verified are good. The JPRT (and PRT) system is meant to guard the source base before anything is sent to it, guarding all source bases from the evil developer, well maybe 'evil' isn't the right word, I haven't met many 'evil' developers, more like 'error prone' developers. ;\^) Humm, come to think about it, I may be one from time to time. :\^{ But the point is that by spreading the build up over a set of machines, and getting the turnaround down to under an hour, it becomes realistic to completely build on all platforms and test it, on every putback. We have the technology, we can build and rebuild and rebuild, and it will be better than it was before, ha ha... Anybody remember the Six Million Dollar Man? Man, I gotta get out more often.. Anyway, now the nightly build and test can become a 'fetch the latest JPRT build bits' and start extensive testing (the testing not done by JPRT, or the platforms not tested by JPRT). Is it Open Source? No, not yet. Would you like to be? Let me know. Or is it more important that you have the ability to use such a system for JDK changes? So enough blabbering on about this JPRT system, tell me what you think. And let me know if you want to hear more about it or not. Stay tuned for the next episode, same Bloody Bat time, same Bloody Bat channel. ;\^) -kto

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  • Extending an ABCS

    - by jamie.phelps
    All AIA Application Business Connector Services (ABCS) are extension enabled out of the box. The number and location of extension points in each ABCS is dependent upon whether the ABCS is a request-response or fire-and-forget service. Below is an example of a request-reply ABCS with 4 extension call-out points: Pre-transformationPost-transformation, Pre-invokePost-invoke, Pre-transformationPost-transformation, Pre-reply You can also see in the diagram that each XSL Transformation has it's own extension call-out. However for now we are only discussing the ABCS extension call-outs. To extend an ABCS, you'll first need to identify the specific extension points that are available in your ABCS and choose the one or more that you want to implement. You can an get an idea of the extension points available in your ABCS by looking into the AIAConfigurationProperties.xml file found under the AIA_HOME/config directory. Find the for your ABCS and look for properties similar to the following: false false false false Each extension point in the ABCS will have a corresponding configuration property to control whether or not the extension call-out is active at runtime. So these properties can give you some idea of what extension points are available in your ABCS. However, you'll probably also want to look into the ABCS BPEL code itself to confirm the exact location of the call-out.

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  • JavaFX Developer Preview for ARM

    - by sasa
    ARM?Linux??JavaFX (JDK 7) Developer Preview?????????????????????JavaFX??????????????????????? ????????????BeagleBoard xM (Rev. C)?????????????????????????3M M2256PW?Chalkboard Electronics?1024x600 LCD????????????????????????????????????????????????? X?????X11???????????EGL???OpenGL ES 2.0??????????????????????????????Linux??????????????????????????Angstrom 2011.03????????????????????????????????????????Stopwatch(????????)?BouncingBalls(????????)?Calculator(???)?BrickBreaker(??????)?????????????? JavaOne?????????????????Raspberry Pi?Panda Board????????????? CON6094 - JavaFX on Smart Embedded Devices CON5348 - Do You Like Coffee with Your Dessert? Java and the Raspberry Pi CON4538 - Java Embedded Goes Modular: How to Build Your Custom Embedded Java Runtime

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  • No more: "What was my password again? Was it 12345 or 123456?"

    - by hinkmond
    Keep track of all your passwords with this Java ME password tracker on your Java feature phone. See: Java ME KeePassMobile Here's a quote: You can put all your passwords in one database, which is locked with one master key and/or a key file. ... KeePassMobile is a password manager software for mobile phones (J2ME platform) that is compatible to KeePass. With KeePassMobile you are able to store all your passwords in a highly-encrypted KeePass (1.x*) database on your mobile phone and view them on the go! Don't leave home without it! And, don't forget your master password either, because if you do... you're pretty much fried with Y-rays. Hinkmond

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  • Direct IO enhancements in OVM Server for SPARC 2.2(a.k.a LDoms2.2)

    - by user12611315
    The Direct I/O feature has been available for LDoms customers since LDoms2.0. Apart from the latest SR-IOV feature in LDoms2.2, it is worth noting a few enhancements to the Direct I/O feature. These are: Support for Metis-Q and Metis-E cards. These cards are highly requested for support and are worth mentioning because they are the only combo cards containing both FibreChannel and Ethernet in the same card. With this support, a customer can have both SAN storage and network access with just one card and one PCIe slot assigned to a logical domain. This reduces cost and helps when there are less number of slots in a given platform. The following are the part numbers for these cards. I have tried to put the platforms on which each card is supported, but this information can get quickly outdated. The accurate information can be found at the Support Document.  Card Name  Part Number  Platforms Metis-Q: StorageTek Dual 8Gb Fibre Channel Dual GbE ExpressModule HBA, QLogic SG-XPCIEFCGBE-Q8-N  SPARC T3-4, T4-4 Metis-E: StorageTek Dual 8Gb Fibre Chanel Dual GbE ExpressModule HBA, Emulex SG-XPCIEFCGBE-E8-N SPARC T3-4, T4-4  Additional cards added to the portfolio of supported cards. This is mainly Powerville based Ethernet cards, the part numbers for these cards as below:  Part Number  Description  7100477 Sun Quad Port GbE PCI Express 2.0 Low Profile Adapter, UTP  7100481 Sun Dual Port GbE PCI Express 2.0 Low Profile Adapter, MMF  7100483 Sun Quad Port GbE PCI Express 2.0 ExpressModule, UTP  7110486 Sun Quad Port GbE PCI Express 2.0 ExpressModule, MMF    Note:  Direct IO feature has a hard dependency on the Root domain(PCIe bus owner, here Primary domain). That is, rebooting the Root domain for any reason may impact the logical domains having PCIe slots assigned with Direct IO feature. So rebooting a root domain need to be carefully managed. Also apply the failure-policy settings as described in the admin guide and release notes to deal with unexpected cases.

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  • Java ME SDK 3.0.5 Integrated with NetBeans 7.1.1

    - by SungmoonCho
    NetBeans 7.1.1 now integrates Java ME SDK 3.0.5, so you do not have to download them separately. Java ME SDK was packaged in NetBeans Mobility Pack, a mobile application development toolkit for NetBeans. Therefore, Java ME SDK is no longer a separate menu on NetBeans. For those who have not downloaded Java ME SDK yet, please simply visit NetBeans website and download the latest version. For those who already have Java ME SDK integrated with NetBeans 7.1 or earlier, and want to update NetBeans IDE to 7.1.1, don't worry. They can co-exist. To use NetBeans plug-ins such as Device Selector, profiler, and Internationalization Resource Manager, you have to install "Java ME SDK Tools" from NetBeans. Here is how. 1.  Go to "Tools - Plug-ins" from NetBeans menu. You can find all the plug-ins you can install into NetBeans. Locate "Java ME SDK Tools" from the list. 2. Follow the instruction to install Java ME SDK Plug-ins. 3. Once completed, you will see new menu options. For example, you can find Device Selector under Tools - Java ME. (If you used old version of Java ME, you will notice that there is not 'Java ME' menu any more. This is because all the sub-menus were integrated into appropriate places in NetBeans.) There is one thing to keep in mind; Since NetBeans 7.1.1 already includes Java ME SDK 3.0.5 and Java ME SDK 3.0.5 plug-ins must be installed through NetBeans plug-in menu, you should not download Java ME SDK 3.0.5 separately and try to integrate it with NetBeans. This may cause issues.

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  • java MainServer gives java.lang.UnsupportedClassVersionError: Unsupported major.minor version 51.0

    - by Paradox
    Compiling is easy but when using java to run the programs, it gives Exception found. I am using Ubuntu 12.04 without internet connections. Also, installed Oracle JDK7 and JRE7. Also did the update-alternatives command on java, javac and javaws. Changed the machine java in /etc/profiles. PATH is pointing to oracle java folder. I did many searches on Google about this topic but each time jdk and jre version are different. Also check version of jdk and jre using java -version and javac - version. Both of them are the same. The system also contains OpenJdk6 and OpenJdk7. So, how do I remove these errors?

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  • ARM TechCON 2013 presentation: Java SE 8 Compact Profiles

    - by hinkmond
    I'll be giving a technical session presentation at ARM TechCON 2013 this Wed. 10/30 @ 11:30am. So if you are in Santa Clara, Calif. come over to the conference and hear me present on this fun-filled topic! See: Java SE 8 Compact Profiles Here's a quote: Java SE 8 has a new Compact Profiles feature that allows for three new specification–compliant subsets of Java SE 8 APIs. Compact Profiles will enable the creation of Java SE 8 runtimes that support configurations that previously were possible only with the CDC version of J2ME... It's an important topic in today's mad, mad world of Embedded Development. You never want to develop in Java for small devices with your Compact Profiles. It's just not what you'd want! Hinkmond

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  • Bunny Inc. Season 2: Spice Up Your Applications

    - by kellsey.ruppel
    The quality and effectiveness of online services is strongly dependent on core business processes and applications. Nonetheless, user friendly composite applications are still a challenge for enterprises, especially if they are also requested to embed social technologies to empower customization and facilitate collaboration. You can operate like Hare Inc. and disappoint your customers, delivering inefficient services and wasting outside-in innovation opportunities, or you can operate like Bunny Inc., leveraging participatory services to improve connections between people, information and applications. And maybe you are ahead enough to adopt a public enterprise cloud to drive business through organic conversations and jump-start productivity with more-purposeful social networking and contextual enterprise collaboration. Don't miss this second episode of Social Bunnies Season 2 to learn how to increase the value of existing enterprise systems while augmenting employee productivity, business flexibility and organizational awareness. Still looking for more information on composite applications. We've got a ton of great resources for you to learn more!

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  • Send SMS text messages for FREE using Java ME

    - by hinkmond
    Here's a way to get around those nasty SMS text messages charges (and maybe a way to get around the Pakistan SMS text censors too!). Use this Java ME SMS text app for your Java ME mobile phone, called JaxtrSMS: See: JaxtrSMS free Java ME SMS Here's a quote: JaxtrSMS lets you send FREE SMS and txt messages to any mobile phone in the world. Best of all, the receiver does not have to have the JaxtrSMS app. International and local SMS/texting can be expensive but with JaxtrSMS you can text anyone in the world for FREE! Great! Now, you can send 2,000 text messages from your phone every month and not worry about a huge bill. You don't send 2,000 text message in a month? Well, get it for your teenage kids then. They certainly send 2,000 text messages in a month... Hinkmond

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  • Decreasing the Height of the PinkMatter Flamingo Ribbon Bar

    - by Geertjan
    The one and only thing prohibiting wide adoption of PinkMatter's amazing Flamingo ribbon bar integration for NetBeans Platform applications (watch the YouTube movie here and follow the tutorial here) is... the amount of real estate taken up by the height of the taskpane: I was Skyping with Bruce Schubert about this and he suggested that a first step might me to remove the application menu. OK, once that had been done there was still a lot of height: But then I configured a bit further and now have this, which is pretty squishy but at least shows there are possibilities: How to get to the above point? Get the PinkMatter Flamingo ribbon bar from java.net (http://java.net/projects/nbribbonbar), which is now the official place where it is found, and then look in the "Flaming Integration" module. There you'll find com.pinkmatter.modules.flamingo.LayerRibbonComponentProvider. Do the following: Comment out "addAppMenu(ribbon);" in "createRibbon()". That's the end of the application menu. Change the "addTaskPanes(JRibbon ribbon)" method from this... private void addTaskPanes(JRibbon ribbon) { RibbonComponentFactory factory = new RibbonComponentFactory(); for (ActionItem item : ActionItems.forPath("Ribbon/TaskPanes")) {// NOI18N ribbon.addTask(factory.createRibbonTask(item)); } } ...to the following: private void addTaskPanes(JRibbon ribbon) { RibbonComponentFactory factory = new RibbonComponentFactory(); for (ActionItem item : ActionItems.forPath("Ribbon/TaskPanes")) { // NOI18N RibbonTask rt = factory.createRibbonTask(item); List<AbstractRibbonBand<?>> bands = rt.getBands(); for (AbstractRibbonBand arb : bands) { arb.setPreferredSize(new Dimension(40,60)); } ribbon.addTask(rt); } } Hurray, you're done. Not a very great result yet, but at least you've made a start in decreasing the height of the PinkMatter Flamingo ribbon bar. If anyone gets further with this, I'd be very happy to hear about it!

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  • FeiTeng 1000

    - by nospam(at)example.com (Joerg Moellenkamp)
    My colleague Roland pointed me to a website with some additional information about the usage of SPARC in the Tianhe-1a super computer: 512 飞腾 Server( 4 socket Galaxy FT1000 飞腾 cpu ( 65nm, 1Ghz, 8 core, 8 threads, openSPARC T2) that has 3HT links and 4 DDR3 memory channel and 8 PCI2.0)So essentialy the NUDT took the openSPARC T2 and added DDR3 , PCIe 2.0 and Hypertransport to it ...

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  • ZFS Basics

    - by user12614620
    Stage 1 basics: creating a pool # zpool create $NAME $REDUNDANCY $DISK1_0..N [$REDUNDANCY $DISK2_0..N]... $NAME = name of the pool you're creating. This will also be the name of the first filesystem and, by default, be placed at the mountpoint "/$NAME" $REDUNDANCY = either mirror or raidzN, and N can be 1, 2, or 3. If you leave N off, then it defaults to 1. $DISK1_0..N = the disks assigned to the pool. Example 1: zpool create tank mirror c4t1d0 c4t2d0 name of pool: tank redundancy: mirroring disks being mirrored: c4t1d0 and c4t2d0 Capacity: size of a single disk Example 2: zpool create tank raidz c4t1d0 c4t2d0 c4t3d0 c4t4d0 c4t5d0 Here the redundancy is raidz, and there are five disks, in a 4+1 (4 data, 1 parity) config. This means that the capacity is 4 times the disk size. If the command used "raidz2" instead, then the config would be 3+2. Likewise, "raidz3" would be a 2+3 config. Example 3: zpool create tank mirror c4t1d0 c4t2d0 mirror c4t3d0 c4t4d0 This is the same as the first mirror example, except there are two mirrors now. ZFS will stripe data across both mirrors, which means that writing data will go a bit faster. Note: you cannot create a mirror of two raidzs. You can create a raidz of mirrors, but to do that requires trickery.

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  • CPU Usage in Very Large Coherence Clusters

    - by jpurdy
    When sizing Coherence installations, one of the complicating factors is that these installations (by their very nature) tend to be application-specific, with some being large, memory-intensive caches, with others acting as I/O-intensive transaction-processing platforms, and still others performing CPU-intensive calculations across the data grid. Regardless of the primary resource requirements, Coherence sizing calculations are inherently empirical, in that there are so many permutations that a simple spreadsheet approach to sizing is rarely optimal (though it can provide a good starting estimate). So we typically recommend measuring actual resource usage (primarily CPU cycles, network bandwidth and memory) at a given load, and then extrapolating from those measurements. Of course there may be multiple types of load, and these may have varying degrees of correlation -- for example, an increased request rate may drive up the number of objects "pinned" in memory at any point, but the increase may be less than linear if those objects are naturally shared by concurrent requests. But for most reasonably-designed applications, a linear resource model will be reasonably accurate for most levels of scale. However, at extreme scale, sizing becomes a bit more complicated as certain cluster management operations -- while very infrequent -- become increasingly critical. This is because certain operations do not naturally tend to scale out. In a small cluster, sizing is primarily driven by the request rate, required cache size, or other application-driven metrics. In larger clusters (e.g. those with hundreds of cluster members), certain infrastructure tasks become intensive, in particular those related to members joining and leaving the cluster, such as introducing new cluster members to the rest of the cluster, or publishing the location of partitions during rebalancing. These tasks have a strong tendency to require all updates to be routed via a single member for the sake of cluster stability and data integrity. Fortunately that member is dynamically assigned in Coherence, so it is not a single point of failure, but it may still become a single point of bottleneck (until the cluster finishes its reconfiguration, at which point this member will have a similar load to the rest of the members). The most common cause of scaling issues in large clusters is disabling multicast (by configuring well-known addresses, aka WKA). This obviously impacts network usage, but it also has a large impact on CPU usage, primarily since the senior member must directly communicate certain messages with every other cluster member, and this communication requires significant CPU time. In particular, the need to notify the rest of the cluster about membership changes and corresponding partition reassignments adds stress to the senior member. Given that portions of the network stack may tend to be single-threaded (both in Coherence and the underlying OS), this may be even more problematic on servers with poor single-threaded performance. As a result of this, some extremely large clusters may be configured with a smaller number of partitions than ideal. This results in the size of each partition being increased. When a cache server fails, the other servers will use their fractional backups to recover the state of that server (and take over responsibility for their backed-up portion of that state). The finest granularity of this recovery is a single partition, and the single service thread can not accept new requests during this recovery. Ordinarily, recovery is practically instantaneous (it is roughly equivalent to the time required to iterate over a set of backup backing map entries and move them to the primary backing map in the same JVM). But certain factors can increase this duration drastically (to several seconds): large partitions, sufficiently slow single-threaded CPU performance, many or expensive indexes to rebuild, etc. The solution of course is to mitigate each of those factors but in many cases this may be challenging. Larger clusters also lead to the temptation to place more load on the available hardware resources, spreading CPU resources thin. As an example, while we've long been aware of how garbage collection can cause significant pauses, it usually isn't viewed as a major consumer of CPU (in terms of overall system throughput). Typically, the use of a concurrent collector allows greater responsiveness by minimizing pause times, at the cost of reducing system throughput. However, at a recent engagement, we were forced to turn off the concurrent collector and use a traditional parallel "stop the world" collector to reduce CPU usage to an acceptable level. In summary, there are some less obvious factors that may result in excessive CPU consumption in a larger cluster, so it is even more critical to test at full scale, even though allocating sufficient hardware may often be much more difficult for these large clusters.

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  • C-states and P-states : confounding factors for benchmarking

    - by Dave
    I was recently looking into a performance issue in the java.util.concurrent (JUC) fork-join pool framework related to particularly long latencies when trying to wake (unpark) threads in the pool. Eventually I tracked the issue down to the power & scaling governor and idle-state policies on x86. Briefly, P-states refer to the set of clock rates (speeds) at which a processor can run. C-states reflect the possible idle states. The deeper the C-state (higher numerical values) the less power the processor will draw, but the longer it takes the processor to respond and exit that sleep state on the next idle to non-idle transition. In some cases the latency can be worse than 100 microseconds. C0 is normal execution state, and P0 is "full speed" with higher Pn values reflecting reduced clock rates. C-states are P-states are orthogonal, although P-states only have meaning at C0. You could also think of the states as occupying a spectrum as follows : P0, P1, P2, Pn, C1, C2, ... Cn, where all the P-states are at C0. Our fork-join framework was calling unpark() to wake a thread from the pool, and that thread was being dispatched onto a processor at deep C-state, so we were observing rather impressive latencies between the time of the unpark and the time the thread actually resumed and was able to accept work. (I originally thought we were seeing situations where the wakee was preempting the waker, but that wasn't the case. I'll save that topic for a future blog entry). It's also worth pointing out that higher P-state values draw less power and there's usually some latency in ramping up the clock (P-states) in response to offered load. The issue of C-states and P-states isn't new and has been described at length elsewhere, but it may be new to Java programmers, adding a new confounding factor to benchmarking methodologies and procedures. To get stable results I'd recommend running at C0 and P0, particularly for server-side applications. As appropriate, disabling "turbo" mode may also be prudent. But it also makes sense to run with the system defaults to understand if your application exhibits any performance sensitivity to power management policies. The operating system power management sub-system typically control the P-state and C-states based on current and recent load. The scaling governor manages P-states. Operating systems often use adaptive policies that try to avoid deep C-states for some period if recent deep idle episodes proved to be very short and futile. This helps make the system more responsive under bursty or otherwise irregular load. But it also means the system is stateful and exhibits a memory effect, which can further complicate benchmarking. Forcing C0 + P0 should avoid this issue.

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