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  • Mercurial says "nothing changed", but it did. Sometimes my software is too clever.

    - by user12608033
    It seems I have found a "bug" in Mercurial. It takes a shortcut when checking for differences in tracked files. If the file's size and modification time are unchanged, it assumes its contents are unchanged: $ hg init . $ cp -p .sccs2hg/2005-06-05_00\:00\:00\,nicstat.c nicstat.c $ ls -ogE nicstat.c -rw-r--r-- 1 14722 2012-08-24 11:22:48.819451726 -0700 nicstat.c $ hg add nicstat.c $ hg commit -m "added nicstat.c" $ cp -p .sccs2hg/2005-07-02_00\:00\:00\,nicstat.c nicstat.c $ ls -ogE nicstat.c -rw-r--r-- 1 14722 2012-08-24 11:22:48.819451726 -0700 nicstat.c $ hg diff $ hg commit nothing changed $ touch nicstat.c $ hg diff diff -r b49cf59d431d nicstat.c --- a/nicstat.c Fri Aug 24 11:21:27 2012 -0700 +++ b/nicstat.c Fri Aug 24 11:22:50 2012 -0700 @@ -2,7 +2,7 @@ * nicstat - print network traffic, Kb/s read and written. Solaris 8+. * "netstat -i" only gives a packet count, this program gives Kbytes. * - * 05-Jun-2005, ver 0.81 (check for new versions, http://www.brendangregg.com) + * 02-Jul-2005, ver 0.90 (check for new versions, http://www.brendangregg.com) * [...] Now, before you agree or disagree with me on whether this is a bug, I will also say that I believe it is a feature. Yes, I feel it is an acceptable shortcut because in "real" situations an edit to a file will change the modification time by at least one second (the resolution that hg diff or hg commit is looking for). The benefit of the shortcut is greatly improved performance of operations like "hg diff" and "hg status", particularly where your repository contains a lot of files. Why did I have no change in modification time? Well, my source file was generated by a script that I have written to convert SCCS change history to Mercurial commits. If my script can generate two revisions of a file within a second, and the files are the same size, then I run afoul of this shortcut. Solution - I will just change my script to apply the modification time from the SCCS history to the file prior to commit. A "touch -t " will do that easily.

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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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  • Geronimo 3 beta - Another Apache project now compatible with Java EE 6

    - by alexismp
    You probably recall the addition of TomEE and WebSphere CE at JavaOne 2011 to the list of certified Java EE 6 products. This time, Apache Geronimo 3 beta 1 was released with compatibility with the Java EE 6 full platform and is now listed on the Java EE Compatibility Page in both the Web Profile and Full Platform categories. Not surprisingly, a good number of the components used in this Geronimo release are similar to those used in the TomEE certification. We now have 11 compatible Java EE 6 configurations to chose from and expecting more soon.

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  • Concurrency Utilities for Java EE 6: JSR 236 Rebooting

    - by arungupta
    JSR 166 added support for concurrency utilities in the Java platform. The JSR 236's, a.k.a Concurrency Utilities for Java EE, goal was to extend that support to the Java EE platform by adding asynchronous abilities to different application components. The EG was however stagnant since Dec 2003. Its coming back to life with the co-spec lead Anthony Lai's message to the JSR 236 EG (archived here). The JSR will be operating under JCP 2.8's transparency rules and can be tracked at concurrency-spec.java.net. All the mailing lists are archived here. The final release is expected in Q1 2013 and the APIs will live in the javax.enterprise.concurrent package. Please submit your nomination if you would like to join this EG.

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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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  • 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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  • 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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  • 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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  • Halloween: Season for Java Embedded Internet of Spooky Things (IoST) (Part 3)

    - by hinkmond
    So, let's now connect the parts together to make a Java Embedded ghost sensor using a Raspberry Pi. Grab your JFET transistor, LED light, wires, and breadboard and follow the connections on this diagram. The JFET transistor plugs into the breadboard with the flat part facing left. Then, plug in a wire to the same breadboard hole row as the top JFET lead (green in the diagram) and keep it unconnected to act as an antenna. Then, connect a wire (red) from the middle lead of the JFET transistor to Pin 1 on your RPi GPIO header. And, connect another wire (blue) from the lower lead of the JFET transistor to Pin 25 on your RPi GPIO header, then connect another (blue) wire from the lower lead of the JFET transistor to the long end of a common cathode LED, and finally connect the short end of the LED with a wire (black) to Pin 6 (ground) of the RPi GPIO header. That's it. Easy. Now test it. See: Ghost Sensor Testing Here's a video of me testing the Ghost Sensor circuit on my Raspberry Pi. We'll cover the Java SE app needed to record the ghost analytics in the next post. Hinkmond

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  • Russian Hydrodynamic Modeling, Prediction, and Visualization in Java

    - by Geertjan
    JSC "SamaraNIPIoil", located in Samara, Russia, provides the following applications for internal use. SimTools. Used to create & manage reservoir history schedule files for hydrodynamic models. The main features are that it lets you create/manage schedule files for models and create/manage well trajectory files to use with schedule files. DpSolver. Used to estimate permeability cubes using pore cube and results of well testing. Additionally, the user visualizes maps of vapor deposition polymerization or permeability, which can be visualized layer by layer. The base opportunities of the application are that it enables calculation of reservoir vertical heterogeneity and vertical sweep efficiency; automatic history matching of sweep efficiency; and calculations using Quantile-Quantile transformation and vizualization of permeability cube and other reservoir data. Clearly, the two applications above are NetBeans Platform applications.

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  • Solaris 11 Technology Forums, NYC and Boston

    - by dminer
    By now you're certainly aware that we released Solaris 11; I was on vacation during the launch so haven't had time to write any material related to the Solaris 11 installers, but will get to that soon.  Following onto the release, we're scheduling events in various locations around the world to talk about some of the key new features in Solaris 11 in more depth.  In the northeast US, we've scheduled technology forums in New York City on November 29, and Burlington, MA on November 30.  Click on those links to go to the detailed info and registration.  I'll be one of the speakers at both of them, so hope to see you there!

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  • Project OpenPTK Release 2.1 Available

    - by Scott Fehrman
    The OpenPTK owners are pleased to announce that release 2.1 is available.  It has been "tagged" in the svn repository. See the download page for details.   This release is an update to version 2.0.  This release contains bug fixes, enhancements to existing capabilities, and new features.  The most notable change in this release is the use of maven, instead of ant, for the build process.  The adoption of maven has made the project more modular, reduced its download size (less bundled jar files) and will enable the future support of Project OpenPTK in a maven repository. For full details, see the OpenPTK version 2.1 Release Notes

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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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  • 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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  • Save Actions in NetBeans IDE 7.3

    - by Geertjan
    Several developers, especially those familiar with equivalent functionality in Eclipse, have been asking for so-called "Save Actions", that is, support for actions that are automatically performed when a file is saved. Here's the related NetBeans issue: http://netbeans.org/bugzilla/show_bug.cgi?id=140719   In NetBeans IDE 7.3, the issue is resolved as follows: A new "On Save" tab is found in the "Editor" tab of the Options window. Defaults for all languages are set via the "All Languages" item in the drop-down. Here, for all languages, you can specify what kind (all, none, or only modified lines) of formatting and space removal will occur automatically when a file is saved: Via the drop-down, you see all the languages supported by the IDE: You can pick a language and then override the default On Save settings: Per language, there may be additional On Save settings. For example, for Java, you can specify that, when saving a Java file, unused import statements should be removed and/or the rules you've set for organizing import statements should be applied: There's also a set of new NetBeans IDE APIs for adding new On Save functionality via custom plugins. Via MIME type registration of OnSaveTask.Factory, you can register new On Save actions that will be run for files conforming to the relevant MIME type. There's also extensions via the Editor Options API for registering new panels (one per language) to the On Save panel in the Options window. I'll demonstrate some examples of the APIs in upcoming blog entries.

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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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  • November EC Meeting Minutes and Materials

    - by Heather VanCura
    The JCP EC meeting minutes and materials from the EC only portion of the 20 November meeting are now available on the EC Meeting Summaries page. Agenda: Part 1: Private EC meeting at 2:00 pm PST [PMO Presentation] Roll call Agenda review EC meeting attendance report Personnel changes EC stats Election results 2013 meeting planning JSR 358 Expert Group session Part 2: Public EC meeting at 3:00 pm PST [PMO presentation] Election results and the EC merge JSR 358 status report JCP 2.8 status update and community audit program - Heather VanCura Discussion/Q&A

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  • Best practices for Persona development

    - by user12277104
    Over the years, I have created a lot of Personas, I've co-authored a new method for creating them, and I've given talks about best practices for creating your own, so when I saw a call for participation in the OpenPersonas project, I was intrigued. While Jeremy and Steve were calling for persona content, that wasn't something I could contribute -- most of the personas I've created have been proprietary and specific to particular domains of my employers. However, I felt like there were a few things I could contribute: a process, a list of interview questions, and what information good personas should contain. The first item, my process for creating data-driven personas, I've posted as a list of best practices. My next post will be the list of 15 interview questions I use to guide the conversations with people whose data will become the personas. The last thing I'll share is a list of items that need to be part of any good persona artifact -- and if I have time, I'll mock them up in a template or two. 

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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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  • Groovy Grapes in NetBeans IDE

    - by Geertjan
    The start of Groovy Grapes support in NetBeans IDE. Below you see a pure Groovy project, with the Groovy JAR and the Ivy JAR automatically on its classpath. There's also a Groovy script that makes use of a @Grab annotation. In the bottom left, in the Services window, you also see a Grape Repository browser, i.e., showing you the JARs that are currently in ".groovy/grapes". Click the images below to get a better look at them. Next, you see what happens when the project is run. The @Grab annotation automatically starts downloading the JARs that are needed and puts them into the ".groovy/grapes" folder. However, the "no suitable classloader found for grab" error message (which Google shows is a problem for lots of developers) prevents the application from running successfully: The final screenshot shows that I've put the JARs that I need onto the classpath of the project. I did that manually, hoping to learn from the NetBeans Maven project or the NetBeans Gradle project how to do that automatically. Also note that the @Grab annotation has been commented out. Now the error message about the classloader is avoided and the project runs. What needs to happen for Groovy Grapes support to be complete in NetBeans IDE: Figure out how to add the downloaded JARs to the project classpath automatically. Fix the refresh problem in the Grape Repository browser, i.e., right now the refresh doesn't happen automatically yet. Hopefully find a way to get around the grab classloader problem, i.e., it's not ideal that one needs to comment out the annotation. Let the user specify a different Grape repository, i.e., right now ".groovy/grapes" is assumed, but the user should be able to point the repository browser to something different. Maybe there should be support for multiple Grape repositories? Comments/feedback/help is welcome.

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  • New Write Flash SSDs and more disk trays

    - by Steve Tunstall
    In case you haven't heard, the Write SSDs the ZFSSA have been updated. Much faster now for the same price. Sweet. The new write-flash SSDs have a new part number of 7105026 , so make sure you order the right ones. It's important to note that you MUST be on code level 2011.1.4.0 or higher to use these. They have increased in IOPS from 6,000 to 11,000, and increased throughput from 200MB/s to 350MB/s.    Also, you can now add six SAS HBAs (up from 4) to the 7420, allowing one to have three SAS channels with 12 disk trays each, for a new total of 36 disk trays. With 3TB drives, that's 2.5 Petabytes. Is that enough for you? Make sure you add new cards to the correct slots. I've talked about this before, but here is the handy-dandy matrix again so you don't have to go find it. Remember the rules: You can have 6 of any one kind of card (like six 10GigE cards), but you only really get 8 slots, since you have two SAS cards no matter what. If you want more than 12 disk trays, you need two more SAS cards, so think about expansion later, too. In fact, if you are going to have two different speeds of drives, in other words you want to mix 15K speed and 7,200 speed drives in the same system, I would highly recommend two different SAS channels. So I would want four SAS cards in that system, no matter how many trays you have. 

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  • Type Conversion in JPA 2.1

    - by delabassee
    The Java Persistence 2.1 specification (JSR 338) adds support for various new features such as schema generation, stored procedure invocation, use of entity graphs in queries and find operations, unsynchronized persistence contexts, injection into entity listener classes, etc. JPA 2.1 also add support for Type Conversion methods, sometime called Type Converter. This new facility let developers specify methods to convert between the entity attribute representation and the database representation for attributes of basic types. For additional details on Type Conversion, you can check the JSR 338 Specification and its corresponding JPA 2.1 Javadocs. In addition, you can also check those 2 articles. The first article ('How to implement a Type Converter') gives a short overview on Type Conversion while the second article ('How to use a JPA Type Converter to encrypt your data') implements a simple use-case (encrypting data) to illustrate Type Conversion. Mission critical applications would probably rely on transparent database encryption facilities provided by the database but that's not the point here, this use-case is easy enough to illustrate JPA 2.1 Type Conversion.

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