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• Maker Faire Report - Teaching Kids Java SE Embedded for Internet of Things (IoT)

  - by hinkmond

  I had a great time at this year's Maker Faire 2014 in San Mateo, Calif. where Jake Kuramoto and the AppsLab crew including Noel Portugal, Anthony Lai, Raymond, and Tony set up a super demo at the DiY table. It was a simple way to learn how Java SE Embedded technology could be used to code the Internet of Things (IoT) devices on the table. The best part of our set-up was seeing the kids sit down and do some coding without all the complexity of a Computer Science course. It was very encouraging to see how interested the kids were when walking them through the programming steps, then seeing their eyes light up when telling them, "You just coded a Java enabled Internet of Things device!" as the Raspberry Pi-connected devices turned on or started to move from their Java Embedded program. See: The AppsLab at Maker Faire It will be interesting to see how this next generation of kids grow up with all these Internet of Things devices around them and watch how they will program them. Hopefully, they will be using Java SE Embedded technology to do so. From the looks of it at this year's Maker Faire, we might have a bunch of motivated young Java SE Embedded coders coming up the ranks soon. Well, they have to get through middle school first, but they're on their way! Hinkmond

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• Do Great Work

  - by user12601034

  Have you ever attended an online conference and actually had a desire to attend all of it?? Yesterday I attended the first day of the Great Work MBA program, sponsored by Box of Crayons and hosted by Michael Bungay Stanier. The topic of the day was “Grounding Yourself,” and the day featured five speakers on five different topics. I have to admit that I started the first session with kind of a “blech” feeling that I didn’t really want to participate, but for some reason I did. So I listened to the first session, and I was hooked. I ended up listening to all of the sessions for the day, and I had some great take-aways from the sessions – my highlights included: The opposite of bravery isn’t fear, it’s settling. In essence, you need to be brave in order to accomplish anything. If you’re settling, you’re not being brave, and your accomplishments will likely be lackluster. Bravery requires confidence and permission. You need to work at being brave by taking small wins, build them up and then take slightly larger risks. Additionally, you need to “claim your own crown.” Nobody in the business world is going to give you permission to be a guru in X – you need to give yourself permission to become a guru in X and then do it. Fall in love with obstacles. Everyone is going to face some form of failure. One way to deal with this is to fall in love with solving the puzzle of obstacles. You don’t have to hit it if you can go around it. Understanding purpose brings out the best in people and the best people. As a leader, drawing in people who are passionate and highly motivated about their work creates velocity for your organization. Being clear about purpose is the first step in doing this. You must own your own story. Everything about you creates a “unique you” that is distinct from everyone else. As you take ownership of this, it becomes part of your strength. It’s not a strength if you’re running away from it. Focus on what’s right. Be aware of your tendency to interpret a situation a certain way and differentiate between helpful and unhelpful interpretations. Three questions for how to think differently: 1) Why? 2) Who says so? 3) What would happen if? These three questions can help you build alternative perspectives and options that can increase resiliency. Even though this first day was focused on “Grounding Yourself,” I see plenty of application in the corporate environment for both individuals and leaders of teams. To apply these highlights to my work environment, I would do the following: Understand the purpose – of my company, of my team and of my role on the team. If I know the purpose, I know what I need to bring to the table to make me, my team and my company successful. Declare your goals…your BEHAGS (big, hairy, audacious goals).Have the confidence to declare what you and/or your team is going to accomplish.Sure, you might have to re-state those goals down the line, but you can learn from that as well. Get creative about achieving your goals.Break down your obstacles by asking yourself what is going to stop you from achieving your goals and then, for each obstacles, ask those three questions:Why?Who says so? What would happen if? Focus on what’s right.I had a manager who asked us to write status reports every week.“Status” consisted of 1) What did I accomplish; 2) What will I accomplish next week; 3) How can my manager help me.The focus on our status report was always “what’s right”(“what’s wrong” was always a conversation at the point in time it was needed). I’m normally a skeptic of online webcasts/conferences, and I normally expect to take away maybe one or two ideas. I’m really glad, however, that I took the time to listen to all of the sessions yesterday, and I hope that my take-aways inspire you to think about how you might do great work also. --

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• Employee Engagement: Drive Business Value

  - by Kellsey Ruppel

  As we’ve been discussing this week, employee engagement is extremely important and you’ve probably realized that effectively engaging your employees is essential to driving business value. Your employees are the ones responsible for executing on the business’ objectives. Your employees (in the sales & service departments) are the ones interacting with your customers the most, so delivering on customer expectations and attaining high levels of customer engagement are simply not possible without successfully empowering these this stakeholder group. High employee and partner engagement can have many benefits including: Higher levels of employee productivity Longer employee retention Stronger, more enduring and more successful relationships Serving as ambassadors for an organization’s brand More likely to deliver excellent customer service Referring others for hire Recommending the organization’s products and services Sharing feedback with their colleagues In a way, engagement is a measure of employee investment in an organization’s mission and brand. And then you have the enablement piece of this as well.  It’s hard to imagine a high level of engagement existing among employees who don’t feel that they’ve been enabled to do their jobs very efficiently or effectively. You’re just not going to find high engagement among people if the everyday processes and technologies  they work with make it a challenge for them to access, share and manage the information  they need do their jobs or if they’re unable to effectively collaborate around the projects they’re working on. How does your organization measure on the employee engagement spectrum? We’ve got a number of different resources to help you get started! Portal Resource Center Video: Got a minute? WebCenter in Action Webcast Series Portal Engagement Webcast 

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• The Minimalist Approach to Content Governance - Request Phase

  - by Kellsey Ruppel

  Originally posted by John Brunswick. For each project, regardless of size, it is critical to understand the required ownership, business purpose, prerequisite education / resources needed to execute and success criteria around it. Without doing this, there is no way to get a handle on the content life-cyle, resulting in a mass of orphaned material. This lowers the quality of end user experiences.     The good news is that by using a simple process in this request phase - we will not have to revisit this phase unless something drastic changes in the project. For each of the elements mentioned above in this stage, the why, how (technically focused) and impact are outlined with the intent of providing the most value to a small team. 1. Ownership Why - Without ownership information it will not be possible to track and manage any of the content and take advantage of many features of enterprise content management technology. To hedge against this, we need to ensure that both a individual and their group or department within the organization are associated with the content. How - Apply metadata that indicates the owner and department or group that has responsibility for the content. Impact - It is possible to keep the content system optimized by running native reports against the meta-data and acting on them based on what has been outlined for success criteria. This will maximize end user experience, as content will be faster to locate and more relevant to the user by virtue of working through a smaller collection. 2. Business Purpose Why - This simple step will weed out requests that have tepid justification, as users will most likely not spend the effort to request resources if they do not have a real need. How - Use a simple online form to collect and workflow the request to management native to the content system. Impact - Minimizes the amount user generated content that is of low value to the organization. 3. Prerequisite Education Resources Needed Why - If a project cannot be properly staffed the probability of its success is going to be low. By outlining the resources needed - in both skill set and duration - it will cause the requesting party to think critically about the commitment needed to complete their project and what gap must be closed with regard to education of those resources. How - In the simple request form outlined above, resources and a commitment to fulfilling any needed education should be included with a brief acceptance clause that outlines the requesting party's commitment. Impact - This stage acts as a formal commitment to ensuring that resources are able to execute on the vision for the project. 4. Success Criteria Why - Similar to the business purpose, this is a key element in helping to determine if the project and its respective content should continue to exist if it does not meet its intended goal. How - Set a review point for the project content that will check the progress against the originally outlined success criteria and then determine the fate of the content. This can even include logic that will tell the content system to remove items that have not been opened by any users in X amount of time. Impact - This ensures that projects and their contents do not live past their useful lifespans. Just as with orphaned content, non-relevant information will slow user's access to relevant materials for the jobs. Request Phase Summary With a simple form that outlines the ownership of a project and its content, business purpose, education and resources, along with success criteria, we can ensure that an enterprise content management system will stay clean and relevant to end users - allowing it to deliver the most value possible. The key here is to make it straightforward to make the request and let the content management technology manage as much as possible through metadata, retention policies and workflow. Doing these basic steps will allow project content to get off to a great start in the enterprise! Stay tuned for the next installment - the "Create Phase" - covering security access and workflow involved in content creation, enabling a practical layer of governance over our enterprise content repository.

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• LightView: JavaFX 2 real-time visualizer for GlassFish

  - by arungupta

  Adam Bien launched LightFish, a light-weight monitoring and visualization application for GlassFish. It comes with a introduction and a screencast to get you started. The tool provides monitoring information about threads and memory (such as heap size, thread count, peak thread count), transactions (commits and rollbacks), HTTP sessions, JDBC sessions, and even "paranormal activity". In a recently released first part of a tri-part article series at OTN, Adam explains how REST services can be exposed as bindable set of properties for JavaFX. The article titled "Enterprise side of JavaFX" shows how a practical combination of REST and JavaFX together. It explains how read-only and dynamic properties can be created. The fine-grained binding model allows clear separation of the view, presentation, and business logic. Read the first part here.

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• Juggling with JDKs on Apple OS X

  - by Blueberry Coder

  I recently got a shiny new MacBook Pro to help me support our ADF Mobile customers. It is really a wonderful piece of hardware, although I am still adjusting to Apple's peculiar keyboard layout. Did you know, for example, that the « delete » key actually performs a « backspace »? But I disgress... As you may know, ADF Mobile development still requires JDeveloper 11gR2, which in turn runs on Java 6. On the other hand, JDeveloper 12c needs JDK 7. I wanted to install both versions, and wasn't sure how to do it.   If you remember, I explained in a previous blog entry how to install JDeveloper 11gR2 on Apple's OS X. The trick was to use the /usr/libexec/java_home command in order to invoke the proper JDK. In this case, I could have done the same thing; the two JDKs can coexist without any problems, since they install in completely different locations. But I wanted more than just installing JDeveloper. I wanted to be able to select my JDK when using the command line as well. On Windows, this is easy, since I keep all my JDKs in a central location. I simply have to move to the appropriate folder or type the folder name in the command I want to execute. Problem is, on OS X, the paths to the JDKs are... let's say convoluted.  Here is the one for Java 6. /System/Library/Java/JavaVirtualMachines/1.6.0.jdk/Contents/Home The Java 7 path is not better, just different. /Library/Java/JavaVirtualMachines/jdk1.7.0_45.jdk/Contents/Home Intuitive, isn't it? Clearly, I needed something better... On OS X, the default command shell is bash. It is possible to configure the shell environment by creating a file named « .profile » in a user's home folder. Thus, I created such a file and put the following inside: export JAVA_7_HOME=$(/usr/libexec/java_home -v1.7) export JAVA_6_HOME=$(/usr/libexec/java_home -v1.6) export JAVA_HOME=$JAVA_7_HOME alias java6='export JAVA_HOME=$JAVA_6_HOME' alias java7='export JAVA_HOME=$JAVA_7_HOME'  The first two lines retrieve the current paths for Java 7 and Java 6 and store them in two environment variables. The third line marks Java 7 as the default. The last two lines create command aliases. Thus, when I type java6, the value for JAVA_HOME is set to JAVA_6_HOME, for example.  I now have an environment which works even better than the one I have on Windows, since I can change my active JDK on a whim. Here a sample, fresh from my terminal window. fdesbien-mac:~ fdesbien$ java6 fdesbien-mac:~ fdesbien$ java -version java version "1.6.0_65" Java(TM) SE Runtime Environment (build 1.6.0_65-b14-462-11M4609) Java HotSpot(TM) 64-Bit Server VM (build 20.65-b04-462, mixed mode) fdesbien-mac:~ fdesbien$ fdesbien-mac:~ fdesbien$ java7 fdesbien-mac:~ fdesbien$ java -version java version "1.7.0_45" Java(TM) SE Runtime Environment (build 1.7.0_45-b18) Java HotSpot(TM) 64-Bit Server VM (build 24.45-b08, mixed mode) fdesbien-mac:~ fdesbien$ Et voilà! Maximum flexibility without downsides, just I like it. 

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• 5 Step Procedure for Android Deployment with NetBeans IDE

  - by Geertjan

  I'm finding that it's so simple to deploy apps to Android that I'm not needing to use the Android emulator at all, haven't been able to figure out how it works anyway (big blinky screen pops up that I don't know what to do with). I just simply deploy the app straight to Android, try it out there, and then uninstall it, if needed. The whole process (only step 4 and 5 below need to be done for each deployment iteration, after you've done steps 1, 2, and 3 once to set up the deployment environment), takes a few seconds. Here's what I do: On Android, go to Settings | Applications. Check "Unknown sources". In "Development", check "USB debugging". Connect Android to your computer via a USB cable. Start up NetBeans IDE, with NBAndroid installed, as described yesterday. and create your "Hello World" app. Right-click the project in the IDE and choose "Export Signed Android Package". Create a new keystore, or choose an existing one, via the wizard that appears. At the end of the wizard (would be nice if NBAndroid would let you set up a keystore once and then reuse it for all your projects, without needing to work through the whole wizard step by step each time), you'll have a new release APK file (Android deployment archive) in the project's 'bin' folder, which you can see in the Files window. Go to the command line (would be nice if NBAndroid were to support adb, would mean I wouldn't need the command line at all), browse to the location of the APK file above. Type "adb install helloworld-release.apk" or whatever the APK file is called. You should see a "Success" message in the command line. Now the application is installed. On your Android, go to "Applications", and there you'll see your brand new app. Then try it out there and delete it if you're not happy with it. After you've made a change in your app, simply repeat step 4 and 5, i.e., create a new APK and install it via adb. Step 4 and 5 take a couple of seconds. And, given that it's all so simple, I don't see the value of the Android emulator, at all.

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• Coherence Data Guarantees for Data Reads - Basic Terminology

  - by jpurdy

  When integrating Coherence into applications, each application has its own set of requirements with respect to data integrity guarantees. Developers often describe these requirements using expressions like "avoiding dirty reads" or "making sure that updates are transactional", but we often find that even in a small group of people, there may be a wide range of opinions as to what these terms mean. This may simply be due to a lack of familiarity, but given that Coherence sits at an intersection of several (mostly) unrelated fields, it may be a matter of conflicting vocabularies (e.g. "consistency" is similar but different in transaction processing versus multi-threaded programming). Since almost all data read consistency issues are related to the concept of concurrency, it is helpful to start with a definition of that, or rather what it means for two operations to be concurrent. Rather than implying that they occur "at the same time", concurrency is a slightly weaker statement -- it simply means that it can't be proven that one event precedes (or follows) the other. As an example, in a Coherence application, if two client members mutate two different cache entries sitting on two different cache servers at roughly the same time, it is likely that one update will precede the other by a significant amount of time (say 0.1ms). However, since there is no guarantee that all four members have their clocks perfectly synchronized, and there is no way to precisely measure the time it takes to send a given message between any two members (that have differing clocks), we consider these to be concurrent operations since we can not (easily) prove otherwise. So this leads to a question that we hear quite frequently: "Are the contents of the near cache always synchronized with the underlying distributed cache?". It's easy to see that if an update on a cache server results in a message being sent to each near cache, and then that near cache being updated that there is a window where the contents are different. However, this is irrelevant, since even if the application reads directly from the distributed cache, another thread update the cache before the read is returned to the application. Even if no other member modifies a cache entry prior to the local near cache entry being updated (and subsequently read), the purpose of reading a cache entry is to do something with the result, usually either displaying for consumption by a human, or by updating the entry based on the current state of the entry. In the former case, it's clear that if the data is updated faster than a human can perceive, then there is no problem (and in many cases this can be relaxed even further). For the latter case, the application must assume that the value might potentially be updated before it has a chance to update it. This almost aways the case with read-only caches, and the solution is the traditional optimistic transaction pattern, which requires the application to explicitly state what assumptions it made about the old value of the cache entry. If the application doesn't want to bother stating those assumptions, it is free to lock the cache entry prior to reading it, ensuring that no other threads will mutate the entry, a pessimistic approach. The optimistic approach relies on what is sometimes called a "fuzzy read". In other words, the application assumes that the read should be correct, but it also acknowledges that it might not be. (I use the qualifier "sometimes" because in some writings, "fuzzy read" indicates the situation where the application actually sees an original value and then later sees an updated value within the same transaction -- however, both definitions are roughly equivalent from an application design perspective). If the read is not correct it is called a "stale read". Going back to the definition of concurrency, it may seem difficult to precisely define a stale read, but the practical way of detecting a stale read is that is will cause the encompassing transaction to roll back if it tries to update that value. The pessimistic approach relies on a "coherent read", a guarantee that the value returned is not only the same as the primary copy of that value, but also that it will remain that way. In most cases this can be used interchangeably with "repeatable read" (though that term has additional implications when used in the context of a database system). In none of cases above is it possible for the application to perform a "dirty read". A dirty read occurs when the application reads a piece of data that was never committed. In practice the only way this can occur is with multi-phase updates such as transactions, where a value may be temporarily update but then withdrawn when a transaction is rolled back. If another thread sees that value prior to the rollback, it is a dirty read. If an application uses optimistic transactions, dirty reads will merely result in a lack of forward progress (this is actually one of the main risks of dirty reads -- they can be chained and potentially cause cascading rollbacks). The concepts of dirty reads, fuzzy reads, stale reads and coherent reads are able to describe the vast majority of requirements that we see in the field. However, the important thing is to define the terms used to define requirements. A quick web search for each of the terms in this article will show multiple meanings, so I've selected what are generally the most common variations, but it never hurts to state each definition explicitly if they are critical to the success of a project (many applications have sufficiently loose requirements that precise terminology can be avoided).

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• Customer Experience Management for Retail 2.0 - part 2 / 2

  - by Sanjeev Sharma

  In the previous post, i discussed some of the key trends shaping up in the retail industry, their implications and the challenges facing retailers seeking to regain control of the buyer-seller relationship. Is Customer Experience Management the panacea for the ailing retailers who are now awakening to the power of the consumer? Quite honestly, customer acquisition, retention and satisfaction have been top of mind for retailers for quite some time now. The missing piece of this puzzle is bringing all those countless hours of strategy and planning to fruition. This is more of an execution gap than anything else. Although technology has made consumers more informed, more mobile and more social, customer experience is still largely defined by delivering on the following: Consistent experiences, whether shopping online or offline Personalize-able interaction ("mass market" sounds good as an internal strategy but not when you are a buyer!) Timely order fulfillment, if not pro-active notification of delays Below is a concept architecture for streamlining front-end, mid-office and back-end interfaces through shared process to achieve consistency and efficiency in managing the customer experience from order capture to order provisioning.

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• Implementing a Custom Coherence PartitionAssignmentStrategy

  - by jpurdy

  A recent A-Team engagement required the development of a custom PartitionAssignmentStrategy (PAS). By way of background, a PAS is an implementation of a Java interface that controls how a Coherence partitioned cache service assigns partitions (primary and backup copies) across the available set of storage-enabled members. While seemingly straightforward, this is actually a very difficult problem to solve. Traditionally, Coherence used a distributed algorithm spread across the cache servers (and as of Coherence 3.7, this is still the default implementation). With the introduction of the PAS interface, the model of operation was changed so that the logic would run solely in the cache service senior member. Obviously, this makes the development of a custom PAS vastly less complex, and in practice does not introduce a significant single point of failure/bottleneck. Note that Coherence ships with a default PAS implementation but it is not used by default. Further, custom PAS implementations are uncommon (this engagement was the first custom implementation that we know of). The particular implementation mentioned above also faced challenges related to managing multiple backup copies but that won't be discussed here. There were a few challenges that arose during design and implementation: Naive algorithms had an unreasonable upper bound of computational cost. There was significant complexity associated with configurations where the member count varied significantly between physical machines. Most of the complexity of a PAS is related to rebalancing, not initial assignment (which is usually fairly simple). A custom PAS may need to solve several problems simultaneously, such as: Ensuring that each member has a similar number of primary and backup partitions (e.g. each member has the same number of primary and backup partitions) Ensuring that each member carries similar responsibility (e.g. the most heavily loaded member has no more than one partition more than the least loaded). Ensuring that each partition is on the same member as a corresponding local resource (e.g. for applications that use partitioning across message queues, to ensure that each partition is collocated with its corresponding message queue). Ensuring that a given member holds no more than a given number of partitions (e.g. no member has more than 10 partitions) Ensuring that backups are placed far enough away from the primaries (e.g. on a different physical machine or a different blade enclosure) Achieving the above goals while ensuring that partition movement is minimized. These objectives can be even more complicated when the topology of the cluster is irregular. For example, if multiple cluster members may exist on each physical machine, then clearly the possibility exists that at certain points (e.g. following a member failure), the number of members on each machine may vary, in certain cases significantly so. Consider the case where there are three physical machines, with 3, 3 and 9 members each (respectively). This introduces complexity since the backups for the 9 members on the the largest machine must be spread across the other 6 members (to ensure placement on different physical machines), preventing an even distribution. For any given problem like this, there are usually reasonable compromises available, but the key point is that objectives may conflict under extreme (but not at all unlikely) circumstances. The most obvious general purpose partition assignment algorithm (possibly the only general purpose one) is to define a scoring function for a given mapping of partitions to members, and then apply that function to each possible permutation, selecting the most optimal permutation. This would result in N! (factorial) evaluations of the scoring function. This is clearly impractical for all but the smallest values of N (e.g. a partition count in the single digits). It's difficult to prove that more efficient general purpose algorithms don't exist, but the key take away from this is that algorithms will tend to either have exorbitant worst case performance or may fail to find optimal solutions (or both) -- it is very important to be able to show that worst case performance is acceptable. This quickly leads to the conclusion that the problem must be further constrained, perhaps by limiting functionality or by using domain-specific optimizations. Unfortunately, it can be very difficult to design these more focused algorithms. In the specific case mentioned, we constrained the solution space to very small clusters (in terms of machine count) with small partition counts and supported exactly two backup copies, and accepted the fact that partition movement could potentially be significant (preferring to solve that issue through brute force). We then used the out-of-the-box PAS implementation as a fallback, delegating to it for configurations that were not supported by our algorithm. Our experience was that the PAS interface is quite usable, but there are intrinsic challenges to designing PAS implementations that should be very carefully evaluated before committing to that approach.

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• PL/SQL Practices: "On Avoiding Termination"

  Continue PL/SQL execution beyond exceptions.

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• HTTP Session Invalidation in Servlet/GlassFish

  - by reza_rahman

  HTTP session invalidation is something most of us take for granted and don't think much about. However for security and performance sensitive applications it is helpful to have at least a basic understanding of how it works in Servlets. In a brief code centric blog post Servlet specification lead Shing Wai Chan introduces the APIs for session invalidation and explains how you can fine tune the underlying reaper thread for session invalidation when it is needed in GlassFish 4. Don't hesitate to post a question here if the blog is not clear, this is a relatively esoteric topic...

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• MySQL Workbench 5.2.43 GA released

  - by Alfredo Kojima

  The MySQL developer tools team announces the availability of version 5.2.43 of the MySQL Workbench GUI tool. This version contains various fixes and minor enhancements and includes 53 resolved bugs. With this version, Fedora 15 packages are replaced with Fedora 17. Also, Gatekeeper in Mac OS X Mountain Lion is now properly handled. For a full list of issues fixed in this release, see http://dev.mysql.com/doc/workbench/en/changes-5.2.x.html Please get your copy from our Downloads site. In Windows, you can also use the MySQL Windows Installer to update Workbench. Sources and binary packages are available for several platforms, including Windows, Mac OS X and Linux. http://dev.mysql.com/downloads/workbench/ Workbench Documentation can be found here. http://dev.mysql.com/doc/workbench/en/index.html Utilities Documentation can be found here. http://dev.mysql.com/doc/workbench/en/mysql-utilities.html If you need any additional info or help please get in touch with us. Post in our forums or leave comments on our blog pages. - The MySQL Workbench Team

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• Mojarra (JSF) 2.1.2 is here

  - by alexismp

  The Mojarra 2.1.2 release was cut a few days ago. Here are the full Maven coordinates : api, impl. You can also get to the release notes and to the list of bugs fixed in this release. This is scheduled for inclusion into the upcoming GlassFish 3.1.1 release. In fact it's already integrated in the latest promoted build (#8) which also includes woodstox 4.1.1. Weld 1.1.1.Final has already been integrated a few builds ago. The JSF team is now working on JSR 344 (JSF 2.2) for which you can get a status by visiting http://jsf-spec.java.net/ and the associated mailing lists. A first expert draft is now available.

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• APEX-Region "Karte" mit eigenen Karten ausstatten

  - by carstenczarski

  Seit der Version 4.0 bietet APEX den Diagrammtyp "Karte" an; dieser erlaubt die sehr einfache Integration von Karten in eine APEX-Anwendung. Die Darstellung der Karten basiert, wie für alle Diagrammtypen, auf AnyChart. APEX bietet zwar eine Vielfalt von verfügbaren Karten an, in der Praxis dürften diese jedoch selten ausreichen - zu verschieden sind die Anforderungen; für Deutschland werden nur zwei Karten angeboten. Oft ist es also nötig, den APEX-Lieferumfang um eigene Karten zu erweitern. Wie das geht, beschreibt unser aktueller Community-Tipp.

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• Embedded Nashorn in JEditorPane

  - by Geertjan

  Here's a prototype for some kind of backoffice content management system. Several interesting goodies are included, such as an embedded JavaScript editor, as can be seen in the screenshot: Key items of interest in the above are as follows: Embedded JavaScript editor (i.e., the latest and greatest Nashorn technology, look it up, if you're not aware of what that is.) The way that's done is to include the relevant JavaScript modules in your NetBeans Platform application. Make very sure to include "Lexer to NetBeans Bridge", which does a bunch of critical stuff under the hood. The JEditorPane is defined as follows, along the lines that I blogged about recently thanks to Steven Yi: javaScriptPane.setContentType("text/javascript"); EditorKit kit = CloneableEditorSupport.getEditorKit("text/javascript"); javaScriptPane.setEditorKit(kit); javaScriptPane.getDocument().putProperty("mimeType", "text/javascript"); Note that "javaScriptPane" above is simply a JEditorPane. Timon Veenstra's excellent solution for integrating Nodes with MultiViewElements, which is described here by Timon, and nowhere else in the world. The tab you see above is within a pluggable container, so anyone else could create a new module and register their own MultiViewElement such that it will be incorporated into the editor. A small trick to ensure that only one window opens per news item: @NbBundle.Messages("OpenNews=Open") private class OpenNewsAction extends AbstractAction { public OpenNewsAction() { super(Bundle.OpenNews()); } @Override public void actionPerformed(ActionEvent e) { News news = getLookup().lookup(News.class); Mode editorMode = WindowManager.getDefault().findMode("editor"); for (TopComponent tc : WindowManager.getDefault().getOpenedTopComponents(editorMode)) { if (tc.getDisplayName().equals(news.getTitle())) { tc.requestActive(); return; } } TopComponent tc = MultiViews.createMultiView("application/x-newsnode", NewsNode.this); tc.open(); tc.requestActive(); } } The rest of what you see above is all standard NetBeans Platform stuff. The sources of everything you see above is here: http://java.net/projects/nb-api-samples/sources/api-samples/show/versions/7.3/misc/CMSBackOffice

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• Discovery methods

  - by Owen Allen

  In Ops Center, asset discovery is a process in which the software determines what assets exist in your environment. You can't monitor an asset, or do anything to it through Ops Center, until it's discovered. I've seen a couple of questions about how to discover various types of asset, so I thought I'd explain the discovery methods and what they each do. Find Assets - This discovery method searches for service tags on all known networks. Service tags are small files on some hardware and operating systems that provide basic identification info. Once a service tag has been found, you provide credentials to manage the asset. This method can discover assets quickly, but only if the target assets have service tags. Add Assets with discovery profile - This method lets you specify targets by providing IP addresses, IP ranges, or hostnames, as well as the credentials needed to connect to and manage these assets. You can create discovery profiles for any type of asset. Declare asset - This method lets you specify the details of a server, with or without a configured service processor. You can then use Ops Center to install a new operating system or configure the SP. This method works well for new hardware. These methods are all discussed in more detail in the Asset Management chapter of the Feature Reference guide.

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• JCP.Next Progress Updates

  - by heathervc

  JSR 355, JCP Executive Committee Merge, is currently nearing the end of the Public Review period.  Review the current draft here and provide feedback here.  The review closes on 12 June 2012.  The JCP Executive Committee met face to face in Sao Paulo, Brazil earlier in May, and has published a revision (version 2.1) of the EC Standing Rules.  The EC Standing Rules were introduced in October 2011 with the launch of JCP version 2.8 (JSR 348).  Version 2.1 of the EC Standing Rules will modify rules for attendance at EC face-to-face meetings. Remote observers will be permitted in "read-only" mode but unless a member attends in person they will be counted as absent.  The review period for these changes will close on June 30 2012.  Please comment on the proposed changes by logging an issue in the JCP EC issue tracker.

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• Solaris 11 LKSF

  - by nospam(at)example.com (Joerg Moellenkamp)

  After having some discussions i now made my mind about it: In the next weeks you will see many republications of old articles in the blog as i will republish all articles in the LKSF, however checked and updated for Solaris 11 (some Opensolaris based stuff in the lksf is working slightly different, and if it's just for different package names). However this will take time, as i will do this on weekends and evenings. At the end i will just recollect them and create a Solaris LKSF pdf again.

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• Fun tips with Analytics

  - by user12620172

  If you read this blog, I am assuming you are at least familiar with the Analytic functions in the ZFSSA. They are basically amazing, very powerful and deep. However, you may not be aware of some great, hidden functions inside the Analytic screen. Once you open a metric, the toolbar looks like this: Now, I’m not going over every tool, as we have done that before, and you can hover your mouse over them and they will tell you what they do. But…. Check this out. Open a metric (CPU Percent Utilization works fine), and click on the “Hour” button, which is the 2nd clock icon. That’s easy, you are now looking at the last hour of data. Now, hold down your ‘Shift’ key, and click it again. Now you are looking at 2 hours of data. Hold down Shift and click it again, and you are looking at 3 hours of data. Are you catching on yet? You can do this with not only the ‘Hour’ button, but also with the ‘Minute’, ‘Day’, ‘Week’, and the ‘Month’ buttons. Very cool. It also works with the ‘Show Minimum’ and ‘Show Maximum’ buttons, allowing you to go to the next iteration of either of those. One last button you can Shift-click is the handy ‘Drill’ button. This button usually drills down on one specific aspect of your metric. If you Shift-click it, it will display a “Rainbow Highlight” of the current metric. This works best if this metric has many ‘Range Average’ items in the left-hand window. Give it a shot. Also, one will sometimes click on a certain second of data in the graph, like this:  In this case, I clicked 4:57 and 21 seconds, and the 'Range Average' on the left went away, and was replaced by the time stamp. It seems at this point to some people that you are now stuck, and can not get back to an average for the whole chart. However, you can actually click on the actual time stamp of "4:57:21" right above the chart. Even though your mouse does not change into the typical browser finger that most links look like, you can click it, and it will change your range back to the full metric. Another trick you may like is to save a certain view or look of a group of graphs. Most of you know you can save a worksheet, but did you know you could Sync them, Pause them, and then Save it? This will save the paused state, allowing you to view it forever the way you see it now.  Heatmaps. Heatmaps are cool, and look like this:  Some metrics use them and some don't. If you have one, and wish to zoom it vertically, try this. Open a heatmap metric like my example above (I believe every metric that deals with latency will show as a heatmap). Select one or two of the ranges on the left. Click the "Change Outlier Elimination" button. Click it again and check out what it does.  Enjoy. Perhaps my next blog entry will be the best Analytic metrics to keep your eyes on, and how you can use the Alerts feature to watch them for you. Steve 

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• Grails project structure

  - by Martin Janicek

  Good news everyone! I've changed the structure of the Grails project as requested in the issue 160028 and it should be much more user friendly than before. There are actually two things I've fixed/implemented. First of all the source folders are finally represented in the same way as for the Java projects (which means instead of the folder based structure it uses package based structure). The difference can be seen on pictures bellow:    Folder based structure:                                                 Package based structure: Second, minor and quite related change could be seen on those pictures too. There are different icons for different structures. For example Views and Layouts items are folder based, Domain Classes are package based and so on.

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• JHeadstart search with default values

  - by christian.bischof

  JHeadstart has a powerful generator for ADF Faces pages. One of the features of the generator is the generation of search functionality into a page. The search functionality offers a "Quicksearch" with a single search item and an "Advanced Search" for multiple search criteria. Sometimes it would be nice to have initial values for the search criteria, but this is not supplied by JHeadstart by default.

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• JCP 2012 Award Nominations are now open!

  - by heathervc

  The 10th JCP Annual Awards Nominations are now open until 16 July 2012. Submit nominations to [email protected] or use form here. The Java Community Process (JCP) program celebrates success. Members of the community nominate worthy participants, Spec Leads, and Java Specification Requests (JSRs) in order to cheer on the hard work and creativity that produces ground-breaking results for the community and industry in the Java Standard Edition (SE), Java Enterprise Edition (EE), or Java Micro Edition (ME) platforms. The community gets together every year at the JavaOne conference to applaud in person the winners of three awards: JCP Member/Participant of the Year, Outstanding Spec Lead, and Most Significant JSR. This year’s unveiling will occur Tuesday evening, 2 October, at the Annual JCP Community Party held in San Francisco.  Nominate today...descriptions of the award categories for this year: JCP Member/Participant Of The Year - This award recognizes the corporate or individual member (either Member or Participant) who has made the most significant positive impact on the community in the past year. Leadership, investment in the community, and innovation are some of the qualities that EC Members look for in voting for this award. Outstanding Spec Lead - The role of Spec Lead is not an easy one, and the person who takes that responsibility must be, among other things, technically savvy, able to build consensus in spite of diverse corporate goals, and focused on efficiency and execution. This award recognizes the person who has brought together these qualities the best in the past year, in leading a JSR for the Java community (Java SE, Java EE or Java ME). Most Significant JSR - Specification development is key to the success of the JCP program and helps ensure we remain a fresh and vibrant community. This award recognizes the Spec Lead and Expert Group that have contributed (either in progress or final) the most significant JSR for the Java community (Java SE, Java EE or Java ME) in the past year.

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• Skynet Big Data Demo Using Hexbug Spider Robot, Raspberry Pi, and Java SE Embedded (Part 4)

  - by hinkmond

  Here's the first sign of life of a Hexbug Spider Robot converted to become a Skynet Big Data model T-1. Yes, this is T-1 the precursor to the Cyberdyne Systems T-101 (and you know where that will lead to...) It is demonstrating a heartbeat using a simple Java SE Embedded program to drive it. See: Skynet Model T-1 Heartbeat It's alive!!! Well, almost alive. At least there's a pulse. We'll program more to its actions next, and then finally connect it to Skynet Big Data to do more advanced stuff, like hunt for Sara Connor. Java SE Embedded programming makes it simple to create the first model in the long line of T-XXX robots to take on the world. Raspberry Pi makes connecting it all together on one simple device, easy. Next post, I'll show how the wires are connected to drive the T-1 robot. Hinkmond

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• FAQ: Creating a new LDOM domain

  - by Owen Allen

  I got a question about creating LDOM domains: "I have a Server Pool set up, and I need to create a secondary LDom domain on a machine in the pool. When I click on the machine, though, the 'create logical domain' command is grayed out. The machine still has available CPU threads and free RAM. What's going on?" This one has an easy answer. In a Server Pool, the Create Logical Domain action is under the pool's actions, rather than the individual machine's actions. This is because the Server Pool decides where to put the new domain based on the Server Pool's placement policy. So, in this case, you need to select the Server Pool in the Assets section, and then create the new domain from there.

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