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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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• SPARC Architecture 2011

  - by Darryl Gove

  With what appears to be minimal fanfare, an update of the SPARC Architecture has been released. If you ever look at SPARC disassembly code, then this is the document that you need to bookmark. If you are not familiar with it, then it basically describes how a SPARC processor should behave - it doesn't describe a particular implementation, just the "generic" processor. As with all revisions, it supercedes the SPARC v9 book published back in the 90s, having both corrections, and definitions of new instructions. Anyway, should be an interesting read

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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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• 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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• Interim Patches for CVE-2011-4313 released through MOS

  - by Alan

  As reported on the article on the Sun Security Blog, interim patches are available for Solaris 8,9 and 10 directly from MOS without the need to log a Service Request. There is also Interim Relief available for Solaris 11, but at this point in time that will still require a Service Request. As seen from running "named -V", these patches implement the same fix as ISC by taking Bind to the version:BIND 9.6-ESV-R5-P1.

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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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• 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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• TXPAUSE : polite waiting for hardware transactional memory

  - by Dave

  Classic locks are an appropriate tool to prevent potentially conflicting operations A and B, invoked by different threads, from running at the same time. In a sense the locks cause either A to run before B or vice-versa. Similarly, we can replace the locks with hardware transactional memory, or use transactional lock elision to leverage potential disjoint access parallelism between A and B. But often we want A to wait until B has run. In a Pthreads environment we'd usually use locks in conjunction with condition variables to implement our "wait until" constraint. MONITOR-MWAIT is another way to wait for a memory location to change, but it only allows us to track one cache line and it's only available on x86. There's no similar "wait until" construct for hardware transactions. At the instruction-set level a simple way to express "wait until" in transactions would be to add a new TXPAUSE instruction that could be used within an active hardware transaction. TXPAUSE would politely stall the invoking thread, possibly surrendering or yielding compute resources, while at the same time continuing to track the transaction's address-set. Once a transaction has executed TXPAUSE it can only abort. Ideally that'd happen when some other thread modifies a variable that's in the transaction's read-set or write-set. And since we're aborting all writes would be discarded. In a sense this gives us multi-location MWAIT but with much more flexibility. We could also augment the TXPAUSE with a cycle-count bound to cap the time spent stalled. I should note that we can already enter a tight spin loop in a transaction to wait for updates to address-set to cause an abort. Assuming that the implementation monitors the address-set via cache-coherence probes, by waiting in this fashion we actually communicate via the probes, and not via memory values. That is the updating thread signals the waiter via probes instead of by traditional memory values. But TXPAUSE gives us a polite way to spin.

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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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• REMINDER : SPARC T4 Servers and ZFS Storage Appliance Demo Equipment Purchase Opportunity

  - by Cinzia Mascanzoni

  Please mark your calendars for the SPARC T4 Servers and ZFS Storage Appliance Demo Program webcast on November 22nd at 12 noon GMT/ 1pm CET and learn how you can take the maximum advantage from this unique opportunity. The objective of this call is to share value, details, guidelines and rules of this demo program with you. Go on the EMEA VAD Resource Center to find more info and the details to access the webcast.

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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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• Coherence Query Performance in Large Clusters

  - by jpurdy

  Large clusters (measured in terms of the number of storage-enabled members participating in the largest cache services) may introduce challenges when issuing queries. There is no particular cluster size threshold for this, rather a gradually increasing tendency for issues to arise. The most obvious challenges are that a client's perceived query latency will be determined by the slowest responder (more likely to be a factor in larger clusters) as well as the fact that adding additional cache servers will not increase query throughput if the query processing is not compute-bound (which would generally be the case for most indexed queries). If the data set can take advantage of the partition affinity features of Coherence, then the application can use a PartitionedFilter to target a query to a single server (using partition affinity to ensure that all data is in a single partition). If this can not be done, then avoiding an excessive number of cache server JVMs will help, as will ensuring that each cache server has sufficient CPU resources available and is also properly configured to minimize GC pauses (the most common cause of a slow-responding cache server).

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• Squibbly: LibreOffice Integration Framework for the Java Desktop

  - by Geertjan

  Squibbly is a new framework for Java desktop applications that need to integrate with LibreOffice, or more generally, need office features as part of a Java desktop solution that could include, for example, JavaFX components. Here's what it looks like, right now, on Ubuntu 13.04: Why is the framework called Squibbly? Because I needed a unique-ish name, because "squibble" sounds a bit like "scribble" (which is what one does with text documents, etc), and because of the many absurd definitions in the Urban Dictionary for the apparently real word "squibble", e.g., "A name for someone who is squibblish in nature." And, another e.g., "A squibble is a small squabble. A squabble is a little skirmish." But the real reason is the first definition (and definitely not the fourth definition): "Taking a small portion of another persons something, such as a small hit off of a pipe, a bite of food, a sip of a drink, or drag of a cigarette." In other words, I took (or "squibbled") a small portion of LibreOffice, i.e., OfficeBean, and integrated it into a NetBeans Platform application. Now anyone can add new features to it, to do anything they need, such as create a legislative software system as Propylon has done with their own solution on the NetBeans Platform: For me, the starting point was Chuk Munn Lee's similar solution from some years ago. However, he uses reflection a lot in that solution, because he didn't want to bundle the related JARs with the application. I understand that benefit but I find it even more beneficial to not need to require the user to specify the location of the LibreOffice location, since all the necessary JARs and native libraries (currently 32-bit Linux only, by the way) are bundled with the application. Plus, hundreds of lines of reflection code, as in Chuk's solution, is not fun to work with at all. Switching between applications is done like this: It's a work in progress, a proof of concept only. Just the result of a few hours of work to get the basic integration to work. Several problems remain, some of them potentially unsolvable, starting with these, but others will be added here as I identify them: Window management problems. I'd like to let the user have multiple LibreOffice applications and documents open at the same time, each in a new TopComponent. However, I haven't figured out how to do that. Right now, each application is opened into the same TopComponent, replacing the currently open application. I don't know the OfficeBean API well enough, e.g., should a single OfficeBean be shared among multiple TopComponents or should each of them have their own instance of it? Focus problems. When putting the application behind other applications and then switching back to the application, typing text becomes impossible. When closing a TopComponent and reopening it, the content is lost completely. Somehow the loss of focus, and then the return of focus, disables something. No idea how to fix that. The project is checked into this location, which isn't public yet, so you can't access it yet. Once it's publicly available, it would be great to get some code contributions and tweaks, etc. https://java.net/projects/squibbly Here's the source structure, showing especially how the OfficeBean JARs and native libraries (currently for Linux 32-bit only) fit in: Ultimately, would be cool to integrate or share code with http://joeffice.com!

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• NUMA-aware constructs for java.util.concurrent

  - by Dave

  The constructs in the java.util.concurrent JSR-166 "JUC" concurrency library are currently NUMA-oblivious. That's because we currently don't have the topology discovery infrastructure and underpinnings in place that would allow and enable NUMA-awareness. But some quick throw-away prototypes show that it's possible to write NUMA-aware library code. I happened to use JUC Exchanger as a research vehicle. Another interesting idea is to adapt fork-join work-stealing to favor stealing from queues associated with 'nearby' threads.

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• Collaborative Whiteboard using WebSocket in GlassFish 4 - Text/JSON and Binary/ArrayBuffer Data Transfer (TOTD #189)

  - by arungupta

  This blog has published a few blogs on using JSR 356 Reference Implementation (Tyrus) as its integrated in GlassFish 4 promoted builds. TOTD #183: Getting Started with WebSocket in GlassFish TOTD #184: Logging WebSocket Frames using Chrome Developer Tools, Net-internals and Wireshark TOTD #185: Processing Text and Binary (Blob, ArrayBuffer, ArrayBufferView) Payload in WebSocket TOTD #186: Custom Text and Binary Payloads using WebSocket One of the typical usecase for WebSocket is online collaborative games. This Tip Of The Day (TOTD) explains a sample that can be used to build such games easily. The application is a collaborative whiteboard where different shapes can be drawn in multiple colors. The shapes drawn on one browser are automatically drawn on all other peer browsers that are connected to the same endpoint. The shape, color, and coordinates of the image are transfered using a JSON structure. A browser may opt-out of sharing the figures. Alternatively any browser can send a snapshot of their existing whiteboard to all other browsers. Take a look at this video to understand how the application work and the underlying code. The complete sample code can be downloaded here. The code behind the application is also explained below. The web page (index.jsp) has a HTML5 Canvas as shown: <canvas id="myCanvas" width="150" height="150" style="border:1px solid #000000;"></canvas> And some radio buttons to choose the color and shape. By default, the shape, color, and coordinates of any figure drawn on the canvas are put in a JSON structure and sent as a message to the WebSocket endpoint. The JSON structure looks like: { "shape": "square", "color": "#FF0000", "coords": { "x": 31.59999942779541, "y": 49.91999053955078 }} The endpoint definition looks like: @WebSocketEndpoint(value = "websocket",encoders = {FigureDecoderEncoder.class},decoders = {FigureDecoderEncoder.class})public class Whiteboard { As you can see, the endpoint has decoder and encoder registered that decodes JSON to a Figure (a POJO class) and vice versa respectively. The decode method looks like: public Figure decode(String string) throws DecodeException { try { JSONObject jsonObject = new JSONObject(string); return new Figure(jsonObject); } catch (JSONException ex) { throw new DecodeException("Error parsing JSON", ex.getMessage(), ex.fillInStackTrace()); }} And the encode method looks like: public String encode(Figure figure) throws EncodeException { return figure.getJson().toString();} FigureDecoderEncoder implements both decoder and encoder functionality but thats purely for convenience. But the recommended design pattern is to keep them in separate classes. In certain cases, you may even need only one of them. On the client-side, the Canvas is initialized as: var canvas = document.getElementById("myCanvas");var context = canvas.getContext("2d");canvas.addEventListener("click", defineImage, false); The defineImage method constructs the JSON structure as shown above and sends it to the endpoint using websocket.send(). An instant snapshot of the canvas is sent using binary transfer with WebSocket. The WebSocket is initialized as: var wsUri = "ws://localhost:8080/whiteboard/websocket";var websocket = new WebSocket(wsUri);websocket.binaryType = "arraybuffer"; The important part is to set the binaryType property of WebSocket to arraybuffer. This ensures that any binary transfers using WebSocket are done using ArrayBuffer as the default type seem to be blob. The actual binary data transfer is done using the following: var image = context.getImageData(0, 0, canvas.width, canvas.height);var buffer = new ArrayBuffer(image.data.length);var bytes = new Uint8Array(buffer);for (var i=0; i<bytes.length; i++) { bytes[i] = image.data[i];}websocket.send(bytes); This comprehensive sample shows the following features of JSR 356 API: Annotation-driven endpoints Send/receive text and binary payload in WebSocket Encoders/decoders for custom text payload In addition, it also shows how images can be captured and drawn using HTML5 Canvas in a JSP. How could this be turned in to an online game ? Imagine drawing a Tic-tac-toe board on the canvas with two players playing and others watching. Then you can build access rights and controls within the application itself. Instead of sending a snapshot of the canvas on demand, a new peer joining the game could be automatically transferred the current state as well. Do you want to build this game ? I built a similar game a few years ago. Do somebody want to rewrite the game using WebSocket APIs ? :-) Many thanks to Jitu and Akshay for helping through the WebSocket internals! Here are some references for you: JSR 356: Java API for WebSocket - Specification (Early Draft) and Implementation (already integrated in GlassFish 4 promoted builds) Subsequent blogs will discuss the following topics (not necessary in that order) ... Error handling Interface-driven WebSocket endpoint Java client API Client and Server configuration Security Subprotocols Extensions Other topics from the API

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• Calling All Potential JCP EC Candidates...

  - by heathervc

  Calling anyone interested in running for a JCP Executive Committee seat!   Now is the time to prepare your nomination and send email to heather at jcp.org.  The official nomination period begins this week.  Exact details for nomination submission will follow on that date, which is Friday, 28 September. For now, prepare your materials and plan to attend the JCP BoF session at JavaOne as well as the Meet the Candidates call on 18 October at 9:30 AM PDT.  Aas a nominee to the Executive Committee, you are encouraged to attend the "Meet the JCP Executive Committee Candidates" session at JavaOne on 2 October at 4:30pm at Hilton San Francisco - Golden Gate 3/4/5. These are great opportunities to present your qualification statements to the eligible voters. Please notify us if you plan to attend: pmo at jcp.org.

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• Using irc in NetBeans IDE 7.2

  - by Geertjan

  Turns out to be easy to use irc in NetBeans IDE 7.2. Install Irssi (I was able to do apt-get to install it), which has a handy guide here, and then use the Terminal window in NetBeans IDE (Window | Output | Terminal): In the above, do this: irssi /connect irc.freenode.net /join #netbeans Then, next time you have a problem in NetBeans IDE or there's some question you have about how to do something, just type your question in the Terminal window and someone will help you, if someone is there who knows the answer.

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• Introduction to JBatch

  - by reza_rahman

  It seems batch processing is moving more and more into the realm of the Java developer. In recognition of this fact, JBatch (aka Java Batch, JSR 352, Batch Applications for the Java Platform) was added to Java EE 7. In a recent article JBatch specification lead Chris Vignola of IBM provides a high level overview of the API. He discusses the core concepts/motivation, the Job Specification Language, the reader-processor-writer pattern, job operator, job repository, chunking, packaging, partitions, split/flow and the like. You can also check out the official specification yourself or try things out with the newly released Java EE 7 SDK.

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• Oh snap! My RPi was upgraded to 512MB! Woo-hoo!

  - by hinkmond

  I ordered a Raspberry Pi Model B (256MB) over 4 months ago on backorder. When it finally came I saw it was upgraded to the new half a gig model! Woot! But, all was not perfect. Gary C. told me the shipped configuration of the new RPi models didn't have the right firmware for 512MB, and I had to upgrade the start.elf in the /boot directory to recognize all of the 512MB RAM. I did a "free" command, and sure enough saw only 240MB. Sadness. But, Gary gave me a copy of his start.elf which worked after some trail and error. For anyone ordering the new RPi Model B w/512MB, here are the steps to get you going with full 512MB RAM: sudo apt-get update --fix-missing sudo apt-get upgrade --fix-missing # NOTE: This step takes at least a couple hours on a # fast network wget https://raw.github.com/raspberrypi/firmware/\ 164b0fe2b3b56081c7510df93bc1440aebe45f7e/boot/\ arm496_start.elf sudo mv /boot/start.elf /boot/orig-start.elf sudo mv arm496_start.elf /boot/start.elf sudo reboot free total used free shared buffers cached Mem: 497768 210596 287172 0 16892 169624 -/+ buffers/cache: 24080 473688 Swap: 102396 0 102396 So of course this means... (drumroll) there is now 498MB available for the Java Embedded heap! java -Xmx400m -version java version "1.7.0_06" Java(TM) SE Embedded Runtime Environment (build 1.7.0_06-b24, headless) Java HotSpot(TM) Embedded Client VM (build 23.2-b09, mixed mode) Yeah, baby! Hinkmond

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• Using Queries with Coherence Write-Behind Caches

  - by jpurdy

  Applications that use write-behind caching and wish to query the logical entity set have the option of querying the NamedCache itself or querying the database. In the former case, no particular restrictions exist beyond the limitations intrinsic to the Coherence query engine itself. In the latter case, queries may see partially committed transactions (e.g. with a parent-child relationship, the version of the parent may be different than the version of the child objects) and/or significant version skew (the query may see the current version of one object and a far older version of another object). This is consistent with "read committed" semantics, but the read skew may be far greater than would ever occur in a non-cached environment. As is usually the case, the application developer may choose to accept these limitations (with the hope that they are sufficiently infrequent), or they may choose to validate the reads (perhaps via a version flag on the objects). This also applies to situations where a third party application (such as a reporting tool) is querying the database. In many cases, the database may only be in a consistent state after the Coherence cluster has been halted.

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• UPK version 3.1 goes GA!

  Hear Russell Handley, Director, UPK Product Marketing, discuss the much anticipated release of UPK 3.1, and how it can benefit enterprises of all sizes, across all geographies.

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• Frameworks - "Easier Interactive Data Entry"

  Improve the end-user experience with declarative LOVs and automatic partial page refresh.

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• PostgreSQL, Ubuntu, NetBeans IDE (Part 2)

  - by Geertjan

  Now let's create the start of a CRUD application on the NetBeans Platform, using Hibernate and PostgreSQL to do so. Here's what I see in NetBeans IDE after setting things up as outlined yesterday: The NetBeans Platform CRUD Tutorial should get you up and started creating the NetBeans Platform application. Open the generated "persistence.xml" in Design mode and then switch the persistence library to Hibernate. The Here's the application structure: The Hibernate module that you see above has this content: Here's the result: And here's the source code: http://java.net/projects/nb-api-samples/sources/api-samples/show/versions/7.3/misc/NBPostgreSQL

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• Dynamically Changing the Display Names of Menus and Popups

  - by Geertjan

  Very interesting thing and handy to know when needed is the fact that "menuText" and "popupText" (from org.openide.awt.ActionRegistration) can be changed dynamically, via "putValue" as shown below for "popupText". The Action class, in this case, needs to be eager, hence you won't receive the object of interest via the constructor, but you can easily use the global Lookup for that purpose instead, as also shown below. import java.awt.event.ActionEvent; import java.text.DateFormat; import java.text.SimpleDateFormat; import javax.swing.AbstractAction; import org.netbeans.api.project.Project; import org.netbeans.api.project.ProjectInformation; import org.netbeans.api.project.ProjectUtils; import org.openide.awt.ActionID; import org.openide.awt.ActionReference; import org.openide.awt.ActionRegistration; import org.openide.util.Utilities; @ActionID( category = "Project", id = "org.ptt.DemoProjectAction") @ActionRegistration( lazy = false, displayName = "NOT-USED") @ActionReference(path = "Projects/Actions", position = 0) public final class DemoProjectAction extends AbstractAction{ private final ProjectInformation context; public DemoProjectAction() { putValue("popupText", "Select Me To See Current Time!"); context = ProjectUtils.getInformation( Utilities.actionsGlobalContext().lookup(Project.class)); } @Override public void actionPerformed(ActionEvent e) { refresh(); } protected void refresh() { DateFormat formatter = new SimpleDateFormat("HH:mm:ss"); String formatted = formatter.format(System.currentTimeMillis()); putValue("popupText", "Time: " + formatted + " (" + context.getDisplayName() +")"); } } Now, let's do something semi useful and display, in the popup, which is available when you right-click a project, the time since the last change was made anywhere in the project, i.e., we can listen recursively to any changes done within a project and then update the popup with the newly acquired information, dynamically: import java.awt.event.ActionEvent; import java.text.DateFormat; import java.text.SimpleDateFormat; import javax.swing.AbstractAction; import org.netbeans.api.project.Project; import org.netbeans.api.project.ProjectUtils; import org.openide.awt.ActionID; import org.openide.awt.ActionReference; import org.openide.awt.ActionRegistration; import org.openide.filesystems.FileAttributeEvent; import org.openide.filesystems.FileChangeListener; import org.openide.filesystems.FileEvent; import org.openide.filesystems.FileRenameEvent; import org.openide.util.Utilities; @ActionID( category = "Project", id = "org.ptt.TrackProjectTimerAction") @ActionRegistration( lazy = false, displayName = "NOT-USED") @ActionReference( path = "Projects/Actions", position = 0) public final class TrackProjectTimerAction extends AbstractAction implements FileChangeListener { private final Project context; private Long startTime; private Long changedTime; private DateFormat formatter; public TrackProjectTimerAction() { putValue("popupText", "Enable project time tracker"); this.formatter = new SimpleDateFormat("HH:mm:ss"); context = Utilities.actionsGlobalContext().lookup(Project.class); context.getProjectDirectory().addRecursiveListener(this); } @Override public void actionPerformed(ActionEvent e) { startTimer(); } protected void startTimer() { startTime = System.currentTimeMillis(); String formattedStartTime = formatter.format(startTime); putValue("popupText", "Timer started: " + formattedStartTime + " (" + ProjectUtils.getInformation(context).getDisplayName() + ")"); } @Override public void fileChanged(FileEvent fe) { changedTime = System.currentTimeMillis(); formatter = new SimpleDateFormat("mm:ss"); String formattedLapse = formatter.format(changedTime - startTime); putValue("popupText", "Time since last change: " + formattedLapse + " (" + ProjectUtils.getInformation(context).getDisplayName() + ")"); startTime = changedTime; } @Override public void fileFolderCreated(FileEvent fe) {} @Override public void fileDataCreated(FileEvent fe) {} @Override public void fileDeleted(FileEvent fe) {} @Override public void fileRenamed(FileRenameEvent fre) {} @Override public void fileAttributeChanged(FileAttributeEvent fae) {} }

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• Migrating Spring to Java EE 6 Article Series at OTN - Part 3

  - by arungupta

  The spring season is characterized by migration of birds, whales, butterflies, frogs, and other animals for different reasons. If you use Spring framework and are interested in migrating to a standards-based Java EE platform, for whatever reason, then we have a solution for you. David Heffelfinger's, a renowned author and an ardent Java EE fan, has published third part of Spring to Java EE migration series at OTN. The article series takes a typical Spring application and shows how to migrate it to Java EE 6 using NetBeans. This new part builds upon part 1 and part 2 and also compares the generated WAR files and LoC in XML configuration in the two environments. There is an interesting discussion on Why Java EE 6 over Spring ? as well.

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