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  • Java SE Embedded-Enabled Raspberry Pi Ice Bucket Challenge

    - by hinkmond
    Help fight ALS at: http://www.alsa.org/fight-als/ See: Java SE Embedded-Enabled Raspberry Pi Ice Bucket Challenge My Java SE Enabled Raspberry Pi accepts the nomination for the ALS Ice Bucket Challenge and I hereby nominate the Nest thermostat, the Fitbit fitness tracker, and Apple TV. Take the Ice Bucket Challenge. Help find the cure for ALS: http://www.alsa.org/fight-als/ice-bucket-challenge.html Hinkmond

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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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  • Tab Sweep - State of Java EE, Dynamic JPA, Java EE performance, Garbage Collection, ...

    - by alexismp
    Recent Tips and News on Java EE 6 & GlassFish: • Java EE: The state of the environment (SDTimes) • Extend your Persistence Unit on the fly (EclipseLink blog) • Glassfish 3.1 - AccessLog Format (Ralph) • Java Enterprise Performance - Unburdended Applications (Lucas) • Java Garbage Collection and Heap Analysis (John) • Qu’attendez-vous de JMS 2.0? (Julien) • Dynamically registering WebFilter with Java EE 6 (Markus)

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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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  • SPARC Go To Market Webinar am 21. Juni

    - by A&C Redaktion
    Hiermit möchten wir Sie herzlich zum weltweiten SPARC Go To Market Webinar am 21. Juni, 17:00 Uhr CET einladen. Unser Sprecher, Bud Koch, Senior Principal Product Marketing Director, wird Ihnen in diesem Online-Event einen Überblick über das SPARC / T4 Marketing geben. Er stellt dabei die aktuelle Materialien vor und zeigt Ihnen, was im Fiskaljahr 2013 geplant ist. So bekommen Sie einen Einblick und die richtige Vertriebsunterstützung. Weitere Informationen zum Webinar finden Sie hier. Wir bitten Sie, sich schon ein paar Minuten vorher einzuwählen, damit das Webinar pünktlich beginnen kann. Sollten Sie nicht live dabei sein können, wird es im Anschluss eine Aufzeichnung geben, die wir hier im Blog teilen werden.

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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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  • JAX-RS 2.0, JTA 1.1, JMS 2.0 Replay: Java EE 7 Launch Webinar Technical Breakouts on YouTube

    - by John Clingan
    As stated previously (here) (here), the On-Demand Replay of Java EE 7 Launch Webinar is already available. You can watch the entire Strategy and Technical Keynote there, and all other Technical Breakout sessions as well. We are releasing the next set of Technical Breakout sessions on GlassFishVideos YouTube channel as well. In this series, we are releasing JAX-RS 2.0, JTA 1.1, and JMS 2.0. Here's the JAX-RS 2.0 session: Enjoy watching them over the next few days before we release the next set of videos! And don't forget to download Java EE 7 SDK and try numerous bundled samples. "here), we are releasing the next set of Technical Breakout sessions on GlassFishVideos YouTube channel as well. In this series, the next three videos are released. Here's the JAX-RS 2.0 session: Enjoy watching them over the next few days before we release the next set of videos! And don't forget to download Java EE 7 SDK and try numerous bundled samples.

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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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  • 25 Favorite JCP Award Memories

    - by heathervc
    As we celebrated the 10th Annual JCP Awards and Party at JavaOne last week, we asked attendees to share their favorite memories.  Add yours to the retrospective list below... The 10th Award party will be the best :-) I won a DSLR camera at the 2011 JCP party and have taken many awesome photos of my family with it ever since!  Thanks JCP! Remembering the password to get in! It was very fascinating talking to all those JUG Members of last years' (2011) party and hearing about their hopes & expectations.  Especially from members of SouJava and LJC. Hanging out with my friends Best food and one of my colleagues won the raffle prize. My friend Brian won a jacket 3 years ago and my friend Craig won a camera last year. 2010 when I took home 2 awards on behalf of JSRs I'm on. When Patrick & Scott sang 'Light My Fire'! Catch up with friends! Being able to attend my first JCP party and and joining JCP community. Of course it's when some people won the award (SouJava and LJC)!   Meeting Crazy Bob! This is my first. Mike  to be JCP Member of the Year in 2011. When SouJava and London Java Community won Member of the Year award! JBoss making CDI Everything! When SouJava won the JCP Member of the Year award. I love feeling like it is the Oscars! First Party! Winning JCP Member of the Year last year. The year I was running for it (JCP Award). 2009 music and hostess. Obscured on legal advice.

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  • Gradle in NetBeans IDE 7.3 Beta

    - by Geertjan
    Installed Attila Kelemen's Gradle plugin in NetBeans IDE 7.3 Beta today: http://plugins.netbeans.org/plugin/44510/gradle-support Not only can existing Gradle projects now be opened, i.e., any folder with a build.gradle file: ...but single Gradle projects as well as multi module Gradle projects can be created: What you see below is the result of using the "Gradle Root Project" template once, followed by the "Gradle Subproject" twice within the folder where the root project was created: Pretty cool stuff. Where's the documentation for the plugin? Here: https://github.com/kelemen/netbeans-gradle-project Read it, some handy tips and tricks are provided there.

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  • Twitter Tuesday - Top 10 @ArchBeat Tweets - May 27 - June 2, 2014

    - by OTN ArchBeat
    The Top 10 tweets from @OTNArchBeat for the last seven days, May 27- June 2, 2014.. RT @Java_EE: We changed the term from #J2EE and #JEE to Java EE in May 2006. Let's educate all users and especially recruiters. Retweet! May 30, 2014 at 12:00 AM Video: #kscope14 Preview: @timtow on Essbase Java API and @ODTUG Community Jun 02, 2014 at 12:00 AM #GoldenGate and #ODI - A Perfect Match in 12c - Part 1: Getting Started | Michael Rainey Jun 02, 2014 at 12:00 AM Podcast: Developing Enterprise Mobile Apps - Part 2 w/ @chriscmuir @fnimphiu @stevendavelaar @lucb_ May 29, 2014 at 12:00 AM Caveats on Using #WebLogic Server with JDK7 | @JayJayZheng May 28, 2014 at 12:00 AM SOA and Business Processes: You are the Process! @gschmutz @dschmied @t_winterberg et al #industrialsoa May 27, 2014 at 12:00 AM Video: #Kscope14 Preview: Data Modeling and Moving Meditation with @KentGraziano May 28, 2014 at 12:00 AM #Kscope14 Preview: @ericerikson on #HFM Metadata Diagnostics and more @ODTUG Jun 02, 2014 at 12:00 AM Extract Data from #FusionApps via Web Services | Richard Williams May 29, 2014 at 12:00 AM Top 10 @ArchBeat Tweets - May 20-26 #KScope14 #OBIEE #WebLogic #WebCenter May 27, 2014 at 12:00 AM

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  • Will We See More Partisan Splits from the SEC?

    - by Theresa Hickman
    The SEC's lawsuit against Goldman Sachs has made recent headlines. The fact that the SEC seems to be growing more litigious by making examples out of invididuals and companies is not the topic of my blog. The most interesting thing about this case is that the 5 SEC commissioners did not vote unanimously to bring the lawsuit. The commissioners had a 3-2 partisan split. Ms. Shapiro (a registered independent) voted with the 2 Democrats. Split votes rarely happen by the SEC, especially when they are enforcing actions against firms they regulate. I wonder if we will be seeing more of these partisan split votes when it comes to other decisions, say IFRS adoption? I know both the Democrats and Republicans have stated that they support a unified accounting standard. However, will the Republicans want to push back simply because there is a Democrat in office? (Seems childish to me, but I never understood politics). I think Ms. Shapiro will most definitely want a unanimous consensus related to the IFRS topic. There is already talk that we will be seeing more SEC split votes in the future. For example, there will most likely be a split vote regarding Obama's proposed financial-regulatory overhaul. I don't see why IFRS would be exempt. I really hope it doesn't happen because the last thing we need is more road blocks on our IFRS road trip.

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  • JavaOne 2012: Lessons from Mathematics

    - by darcy
    I was pleased to get notification recently that my bof proposal for Lessons from Mathematics was accepted for JavaOne 2012. This is a bit of a departure from the project-centric JavaOne talks I usually give, but whisps of this kind of material have appeared before. I'm looking forward to presenting material from linear algebra, stochastics, and numerical optimization that have influence my thinking about technical problems in the JDK and elsewhere.

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  • PanelGridLayout - A Layout Revolution

    - by Duncan Mills
    With the most recent 11.1.2 patchset (11.1.2.3) there has been a lot of excitement around ADF Essentials (and rightly so), however, in all the fuss I didn't want an even more significant change to get missed - yes you read that correctly, a more significant change! I'm talking about the new panelGridLayout component, I can confidently say that this one of the most revolutionary components that we've introduced in 11g, even though it sounds rather boring. To be totally accurate, panelGrid was introduced in 11.1.2.2 but without any presence in the component palette or other design time support, so it was largely missed unless you read the release notes. However in this latest patchset it's finally front and center. Its time to explore - we (really) need to talk about layout.  Let's face it,with ADF Faces rich client, layout is a rather arcane pursuit, once you are a layout master, all bow before you, but it's more of an art than a science, and it is often, in fact, way too difficult to achieve what should (apparently) be a pretty simple. Here's a great example, it's a homework assignment I set for folks I'm teaching this stuff to:  The requirements for this layout are: The header is 80px high, the footer is 30px. These are both fixed.  The first section of the header containing the logo is 180px wide The logo is centered within the top left hand corner of the header  The title text is start aligned in the center zone of the header and will wrap if the browser window is narrowed. It should be aligned in the center of the vertical space  The about link is anchored to the right hand side of the browser with a 20px gap and again is center aligned vertically. It will move as the browser window is reduced in width. The footer has a right aligned copyright statement, again middle aligned within a 30px high footer region and with a 20px buffer to the right hand edge. It will move as the browser window is reduced in width. All remaining space is given to a central zone, which, in this case contains a panelSplitter. Expect that at some point in time you'll need a separate messages line in the center of the footer.  In the homework assigment I set I also stipulate that no inlineStyles can be used to control alignment or margins and no use of other taglibs (e.g. JSF HTML or Trinidad HTML). So, if we take this purist approach, that basic page layout (in my stock solution) requires 3 panelStretchLayouts, 5 panelGroupLayouts and 4 spacers - not including the spacer I use for the logo and the contents of the central zone splitter - phew! The point is that even a seemingly simple layout needs a bit of thinking about, particulatly when you consider strechting and browser re-size behavior. In fact, this little sample actually teaches you much of what you need to know to become vaguely competant at layouts in the framework. The underlying result of "the way things are" is that most of us reach for panelStretchLayout before even finishing the first sip of coffee as we embark on a new page design. In fact most pages you will see in any moderately complex ADF page will basically be nested panelStretchLayouts and panelGroupLayouts, sometimes many, many levels deep. So this is a problem, we've known this for some time and now we have a good solution. (I should point out that the oft-used Trinidad trh tags are not a particularly good solution as you're tie-ing yourself to an HTML table based layout in that case with a host of attendent issues in resize and bi-di behavior, but I digress.) So, tadaaa, I give to you panelGridLayout. PanelGrid, as the name suggests takes a grid like (dare I say slightly gridbag-like) approach to layout, dividing your layout into rows and colums with margins, sizing, stretch behaviour, colspans and rowspans all rolled in, all without the use of inlineStyle. As such, it provides for a much more powerful and consise way of defining a layout such as the one above that is actually simpler and much more logical to design. The basic building blocks are the panelGridLayout itself, gridRow and gridCell. Your content sits inside the cells inside the rows, all helpfully allowing both streching, valign and halign definitions without the need to nest further panelGroupLayouts. So much simpler!  If I break down the homework example above my nested comglomorate of 12 containers and spacers can be condensed down into a single panelGrid with 3 rows and 5 cell definitions (39 lines of source reduced to 24 in the case of the sample). What's more, the actual runtime representation in the browser DOM is much, much simpler, and clean, with basically one DIV per cell (Note that just because the panelGridLayout semantics looks like an HTML table does not mean that it's rendered that way!) . Another hidden benefit is the runtime cost. Because we can use a single layout to achieve much more complex geometries the client side layout code inside the browser is having to work a lot less. This will be a real benefit if your application needs to run on lower powered clients such as netbooks or tablets. So, it's time, if you're on 11.1.2.2 or above, to smile warmly at your panelStretchLayouts, wrap the blanket around it's knees and wheel it off to the Sunset Retirement Home for a well deserved rest. There's a new kid on the block and it wants to be your friend. 

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  • Data Governance (Veri Yönetisimi)

    - by Arda Eralp
    Data governance,veri ile ilgili islemler için bir sorumluluklar sistemidir. Bu sistemin temelini ise politikalar, standartlar ve prosedürler olusturur. Sistem politikalar, standartlar ve prosedürler sayesinde verinin ne zaman, hangi sartlar altinda, hangi eylemlerde, hangi yöntemler ile kimler tarafindan kullanilacagina karar verir. Sistemin kurumda basarili bir sekilde islemesi için öncelikle kurumda farkindalik saglanmasi gereklidir. Farkindalik saglandiktan sonra ise kurum governance ve mimari kültürünü benimsemelidir. Ancak bu sartlar altinda sistem basarili bir sekilde isleyebilecektir. Bu sebeplerden dolayidir ki data governance kisa bir süreç degil, aksine kurum varligini sürdürdügü sürece isleyecek olan bir süreçtir. Bu durum bize data governance in bir proje degil bir program oldugunu açiklamaktadir. Programin baslangicinda kurumun ihtiyaçlarinin netlesmesi ve farkindaligin saglanmasi temeldir. Hedef kitle ise, veri ile dogrudan ve ya dolayli olarak iliski içerisinde olan herkesdir. Bu sebeple programin baslangicinda hedef kitleyi içeren ekipler ile toplantilar düzenlenecektir. Bu toplantilar sayesinde hem farkindalik saglanacak hemde ekiplerin ihtiyaçlari birebir ekipler tarafindan aktarilarak netlesecektir. Hedef kitlenin ihtiyaçlari netlestirildikten sonra ise devamli isleyecek olan bu sürecin planlamasi yapilacaktir. Bu sürecin planlanmasinda ihtiyaçlarin önceliklendirilmesi gerekmektedir. Sebebi ise her ekibin ihtiyaçlarinin farkli olabilecegi ve bütün ihtiyaçlara ayni anda karsilik verilemeyebileceginin öngörülmesidir. Bu öngörünün temeli ise ekiplerin ihtiyaçlarinin birbirleriyle olan baglantisidir. Süreç planlamasinda ihtiyaçlarin önceliklendirilmesinin ardindan kurumun büyüklügünün gözönünde bulundurulmasi gerekmedir. Kurumun büyüklügünün önemi ise eger kurum bir bütün olarak ayni anda govern edilemeyecek kadar büyük ise ihtiyaçlari öncelikli olarak bulunan ekipler ile govern edilmesine baslanarak sürecin belirli bir hiz ile bütün kurumda isler hale getirilmesini saglamaktir. Ihtiyaçlar belirlendikten ve ilgili ekipler seçildikten sonra artik programin planlanmasina geçilebilecek. Programin planlama asamasinda öncelikli olarak sürecin asamalarini kontrol edecek ve süreç kurum içerisinde isleyise geçtiginde kontrolü saglayacak olan Data Governance Office in planlanmasidir. Office in planlanmasiyla birlikte süreçteki roller ve bu rollerin sorumluluklari belirlenecektir. Planlama asamasinda Data governance office, roller ve sorumluluklar, güvenlik ve veri saklanan sistemler ele alinacak konulardir. Planlama asamasi tamamlandiginda ise belirlenen ekipler ve ihtiyaçlar dogrultusunda programin isleyis asamasina geçilebilecektir. Isleyis kisminda ekibin ihtiyaçlari dogrultusunda güvenlik konusunda ve veri saklanan sistemler üzerinde çalismalar yapilacaktir. Bu yapilan çalismalar bir süreç olarak dökümante edilecek ve süreç sona erdiginde baska bir ekiple baska bir ihtiyaç dogrultusunda çalisma yapilarak ayni süreç isletilecek ve böylece kurum içesinde ilgili süreçte standartlasma saglanacaktir. Güvenlik konusunda verinin erisim güvenligi ve kullanim güvenligi ele alinacaktir. Veri saklanan sistemler üzerindeki çalismalar ise saklanan sistemlerin program dahilinde belirlenen standartlar ile olusturulmasi ve yönetilmesi saglanacaktir. Isleyis kisminin ardindan ise programin izleme kismina geçilecektir. Bu kisimda artik Data Governance Office olusmus, politikalar, standartlar ve prosedürler belirlenmistir. Ve Data Governance Office çalisanlari rolleri ve sorumluluklari dahilinde programin isleyisini izleyecek ve gerek gördügünde politikalar standartlar ve prosedürler üzerinde degisiklikler yapacaklardir.

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  • RPi and Java Embedded GPIO: Hooking Up Your Wires for Java

    - by hinkmond
    So, you bought your blue jumper wires, your LEDs, your resistors, your breadboard, and your fill of Fry's for the day. How do you hook this cool stuff up to write Java code to blink them LEDs? I'll step you through it. First look at that pinout diagram of the GPIO header that's on your RPi. Find the pins in the corner of your RPi board and make sure to orient it the right way. The upper left corner pin should have the characters "P1" next to it on the board. That pin next to "P1" is your Pin #1 (in the diagram). Then, you can start counting left, right, next row, left, right, next row, left, right, and so on: Pins # 1, 2, next row, 3, 4, next row, 5, 6, and so on. Take one blue jumper wire and connect to Pin # 3 (GPIO0). Connect the other end to a resistor and then the other end of the resistor into the breadboard. Each row of grouped-together holes on a breadboard are connected, so plug in the short-end of a common cathode LED (long-end of a common anode LED) into a hole that is in the same grouping as where the resistor is plugged in. Then, connect the other end of the LED back to Pin # 6 (GND) on the RPi GPIO header. Now you have your first LED connected ready for you to write some Java code to turn it on and off. (As, extra credit you can connect 7 other LEDs the same way to with one lead to Pins # 5, 7, 11, 13, 15, 19 & 21). Whew! That wasn't so bad, was it? Next blog post on this thread will have some Java source code for you to try... Hinkmond

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  • Spotlight on GlassFish 4.1: #7 WebSocket Session Throttling and JMX Monitoring

    - by delabassee
    'Spotlight on GlassFish 4.1' is a series of posts that highlights specific enhancements of the upcoming GlassFish 4.1 release. It could be a new feature, a fix, a behavior change, a tip, etc. #7 WebSocket Session Throttling and JMX Monitoring GlassFish 4.1 embeds Tyrus 1.8.1 which is compliant with the Maintenance Release of JSR 356 ("WebSocket API 1.1"). This release also brings brings additional features to the WebSocket support in GlassFish. JMX Monitoring: Tyrus now exposes WebSocket metrics through JMX . In GF 4.1, the following message statistics are monitored for both sent and received messages: messages count messages count per second average message size smallest message size largest message size Those statistics are collected independently of the message type (global count) and per specific message type (text, binary and control message). In GF 4.1, Tyrus also monitors, and exposes through JMX, errors at the application and endpoint level. For more information, please check Tyrus JMX Monitoring Session Throttling To preserve resources on the server hosting websocket endpoints, Tyrus now offers ways to limit the number of open sessions. Those limits can be configured at different level: per whole application per endpoint per remote endpoint address (client IP address)   For more details, check Tyrus Session Throttling. The next entry will focus on Tyrus new clients-side features.

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  • Transparency call for Spec Leads and EC materials posted

    - by heathervc
    The materials and recording from the February 2012 call for JCP program Spec Leads is now available.  This call features Martijn Verburg, alternate EC representative for the London Java Community and includes information on the Adopt-a-JSR program.  The materials and audio recording of the  "Leveraging the Community" call can be found on the multimedia page of jcp.org .  The EC meeting summaries from February and March 2012 have also been posted.  Following the April 2012 EC Meeting this morning (minutes and materials will be posted soon), there are now four EC Members that have lost their voting privileges--AT&T, SK Telecom, Samsung and Twitter.  In order to regain their privileges, these EC Members must attend two EC meeting in a row, as detailed in the EC Standing Rules.

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  • How To: Drag & Drop in einer APEX Kalenderregion

    - by carstenczarski
    Wussten Sie schon, dass Sie Einträge in einer APEX-Kalenderregion mit Drag & Drop verschieben können - ganz wie in bekannten Anwendungen wie Microsoft Outlook oder Mozilla Thunderbird? Und dazu müssen Sie noch nicht einmal aufwändiges JavaScript programmieren - APEX bringt nahezu alles nötige out-of-the-box mit. Lesen Sie in unserem aktuellen Tipp, wie Sie Drag & Drop in einer APEX-Kalenderregion aktivieren - und das in wenigen Minuten. Übrigens: Schon zum APEX-Entwicklertag angemeldet ...?

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  • Personal Financial Management – The need for resuscitation

    - by Salil Ravindran
    Until a year or so ago, PFM (Personal Financial Management) was the blue eyed boy of every channel banking head. In an age when bank account portability is still fiction, PFM was expected to incentivise customers to switch banks. It still is, in some emerging economies, but if the state of PFM in matured markets is anything to go by, it is in a state of coma and badly requires resuscitation. Studies conducted around the year show an alarming decline and stagnation in PFM usage in mature markets. A Sept 2012 report by Aite Group – Strategies for PFM Success shows that 72% of users hadn’t used PFM and worse, 58% of them were not kicked about using it. Of the rest who had used it, only half did on a bank site. While there are multiple reasons for this lack of adoption, some are glaringly obvious. While pretty graphs and pie charts are important to provide a visual representation of my income and expense, it is simply not enough to encourage me to return. Static representation of data without any insightful analysis does not help me. Budgeting and Cash Flow is important but when I have an operative account, a couple of savings accounts, a mortgage loan and a couple of credit cards help me with what my affordability is in specific contexts rather than telling me I just busted my budget. Help me with relative importance of each budget category so that I know it is fine to go over budget on books for my daughter as against going over budget on eating out. Budget over runs and spend analysis are post facto and I am informed of my sins only when I return to online banking. That too, only if I decide to come to the PFM area. Fundamentally, PFM should be a part of my banking engagement rather than an analysis tool. It should be contextual so that I can make insight based decisions. So what can be done to resuscitate PFM? Amalgamation with banking activities – In most cases, PFM tools are integrated into online banking pages and they are like chapter 37 of a long story. PFM needs to be a way of banking rather than a tool. Available balances should shift to Spendable Balances. Budget and goal related insights should be integrated with transaction sessions to drive pre-event financial decisions. Personal Financial Guidance - Banks need to think ground level and see if their PFM offering is really helping customers achieve self actualisation. Banks need to recognise that most customers out there are non-proficient about making the best value of their money. Customers return when they know that they are being guided rather than being just informed on their finance. Integrating contextual financial offers and financial planning into PFM is one way ahead. Yet another way is to help customers tag unwanted spending thereby encouraging sound savings habits. Mobile PFM – Most banks have left all those numbers on online banking. With access mostly having moved to devices and the success of apps, moving PFM on to devices will give it a much needed shot in the arm. This is not only about presenting the same wine in a new bottle but also about leveraging the power of the device in pushing real time notifications to make pre-purchase decisions. The pursuit should be to analyse spend, budgets and financial goals real time and push them pre-event on to the device. So next time, I should know that I have over run my eating out budget before walking into that burger joint and not after. Increase participation and collaboration – Peer group experiences and comments are valued above those offered by the bank. Integrating social media into PFM engagement will let customers share and solicit their financial management experiences with their peer group. Peer comparisons help benchmark one’s savings and spending habits with those of the peer group and increases stickiness. While mature markets have gone through this learning in some way over the last one year, banks in maturing digital banking economies increasingly seem to be falling into this trap. Best practices lie in profiling and segmenting customers, being where they are and contextually guiding them to identify and achieve their financial goals. Banks could look at the likes of Simple and Movenbank to draw inpiration from.

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  • JavaFX Makeover for JFugue Music NotePad

    - by Geertjan
    Bengt-Erik Fröberg from Sweden, one of the developers working on ProSang, the leading Scandinavian blood bank system (and based on the NetBeans Platform), is reworking the user interface of the JFugue Music NotePad. In particular, the Score window (named ScoreFX window below) contains components that are now quite clearly JavaFX, instead of Swing. Looks a lot better and also performs better. The sliders in the Keyboard window are candidates for being similarly redone to use JavaFX instead of Swing. Want to do something similar? Here's all the info you need: http://platform.netbeans.org/tutorials/nbm-javafx.html

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  • APEX Patchset 4.2.1 erschienen

    - by Carsten Czarski
    Seit Freitag, dem 14.12. steht das APEX Patchset 4.2.1 zur Verfügung. Neben zahlreichen Bugfixes sind auch einige, kleinere Änderungen enthalten: Die JQuery Mobile Bibliothek wurde auf Version 1.2.0 aktualisiert Die AnyChart-Engine wurde auf Version 6.0.11 gehoben. Dadurch stehen "Circular Gauge" Charts auch als HTML5 Diagramme bereit Diagramme in Anwendungen für mobile Endgeräte können sich nun dynamisch der Bildschirmgröße anpassen Details zum Patchset finden sich, wie immer in den Release Notes. Wie bislang unterscheidet sich der Installationsvorgang je nach verwendeter APEX-Version. Wenn noch kein APEX oder eine ältere Version als 4.2 installiert ist, kann die Vollinstallation für APEX 4.2.1 direkt aus dem OTN heruntergeladen und normal installiert werden. Wenn APEX 4.2.0 installiert ist, muss Patch Nr. 14732511 aus MyOracle Support heruntergeladen und eingespielt werden.

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  • Harnessing Business Events for Predictive Decision Making - part 1 / 3

    - by Sanjeev Sharma
    Businesses have long relied on data mining to elicit patterns and forecast future demand and supply trends. Improvements in computing hardware, specifically storage and compute capacity, have significantly enhanced the ability to store and analyze mountains of data in ever shrinking time-frames. Nevertheless, the reality is that data growth is outpacing storage capacity by a factor of two and computing power is still very much bounded by Moore's Law, doubling only every 18 months.Faced with this data explosion, businesses are exploring means to develop human brain-like capabilities in their decision systems (including BI and Analytics) to make sense of the data storm, in other words business events, in real-time and respond pro-actively rather than re-actively. It is more like having a little bit of the right information just a little bit before hand than having all of the right information after the fact. To appreciate this thought better let's first understand the workings of the human brain.Neuroscience research has revealed that the human brain is predictive in nature and that talent is nothing more than exceptional predictive ability. The cerebral-cortex, part of the human brain responsible for cognition, thought, language etc., comprises of five layers. The lowest layer in the hierarchy is responsible for sensory perception i.e. discrete, detail-oriented tasks whereas each of the above layers increasingly focused on assembling higher-order conceptual models. Information flows both up and down the layered memory hierarchy. This allows the conceptual mental-models to be refined over-time through experience and repetition. Secondly, and more importantly, the top-layers are able to prime the lower layers to anticipate certain events based on the existing mental-models thereby giving the brain a predictive ability. In a way the human brain develops a "memory of the future", some sort of an anticipatory thinking which let's it predict based on occurrence of events in real-time. A higher order of predictive ability stems from being able to recognize the lack of certain events. For instance, it is one thing to recognize the beats in a music track and another to detect beats that were missed, which involves a higher order predictive ability.Existing decision systems analyze historical data to identify patterns and use statistical forecasting techniques to drive planning. They are similar to the human-brain in that they employ business rules very much like mental-models to chunk and classify information. However unlike the human brain existing decision systems are unable to evolve these rules automatically (AI still best suited for highly specific tasks) and  predict the future based on real-time business events. Mistake me not,  existing decision systems remain vital to driving long-term and broader business planning. For instance, a telco will still rely on BI and Analytics software to plan promotions and optimize inventory but tap into business events enabled predictive insight to identify specifically which customers are likely to churn and engage with them pro-actively. In the next post, i will depict the technology components that enable businesses to harness real-time events and drive predictive decision making.

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