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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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  • SQL Saturday 43 (Redmond, WA) Review

    - by BuckWoody
    Last Saturday (June 12th) we held a “SQL Saturday” (more about those here) event in Redmond, Washington. The event was held at the Microsoft campus, at the Mixer in our new location called the “Commons”. This is a mall-like area that we have on campus, and the Mixer is a large building with lots of meeting rooms, so it made a perfect location for the event. There was a sign to find the parking, and once there they had a sign to show how to get to the building. Since it’s a secure facility, Greg Larsen and crew had a person manning the door so that even late arrivals could get in. We had about 400 sign up for the event, and a little over 300 attend (official numbers later). I think we would have had a lot more, but the sun was out – and you just can’t underestimate the effect of that here in the Pacific Northwest. We joke a lot about not seeing the sun much, but when a day like what we had on Saturday comes around, and on a weekend at that, you’d cancel your wedding to go outside to play in the sun. And your spouse would agree with you for doing it. We had some top-notch speakers, including Clifford Dibble and Kalen Delany. The food was great, we had multiple sponsors (including Confio who seems to be at all of these) and the attendees were from all over the professional spectrum, from developers to BI to DBA’s. Everyone I saw was very engaged, and when I visited room-to-room I saw almost no one in the halls – everyone was in the sessions. I also saw a much larger Microsoft presence this year, especially from Dan Jones’ team. I had a great turnout at my session, and yes, I was wearing an Oracle staff shirt. I did that because I wanted to show that the session I gave on “SQL Server for the Oracle DBA” was non-marketing – I couldn’t exactly bash Oracle wearing their colors! These events are amazing. I can’t emphasize enough how much I appreciate the volunteers and how much work they put into these events, and to you for coming. If you’re reading this and you haven’t attended one yet, definitely find out if there is one in your area – and if not, start one. It’s a lot of work, but it’s totally worth it.       Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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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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  • Impact of Server Failure on Coherence Request Processing

    - by jpurdy
    Requests against a given cache server may be temporarily blocked for several seconds following the failure of other cluster members. This may cause issues for applications that can not tolerate multi-second response times even during failover processing (ignoring for the moment that in practice there are a variety of issues that make such absolute guarantees challenging even when there are no server failures). In general, Coherence is designed around the principle that failures in one member should not affect the rest of the cluster if at all possible. However, it's obvious that if that failed member was managing a piece of state that another member depends on, the second member will need to wait until a new member assumes responsibility for managing that state. This transfer of responsibility is (as of Coherence 3.7) performed by the primary service thread for each cache service. The finest possible granularity for transferring responsibility is a single partition. So the question becomes how to minimize the time spent processing each partition. Here are some optimizations that may reduce this period: Reduce the size of each partition (by increasing the partition count) Increase the number of JVMs across the cluster (increasing the total number of primary service threads) Increase the number of CPUs across the cluster (making sure that each JVM has a CPU core when needed) Re-evaluate the set of configured indexes (as these will need to be rebuilt when a partition moves) Make sure that the backing map is as fast as possible (in most cases this means running on-heap) Make sure that the cluster is running on hardware with fast CPU cores (since the partition processing is single-threaded) As always, proper testing is required to make sure that configuration changes have the desired effect (and also to quantify that effect).

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  • Új dimenzió middleware (Java) virtualizáció területén

    - by peter.nagy
    Korábban már írtam róla, de most megtörtént a hivatalos bejelentés. Tehát elérheto lesz a JRockit Virtual Edition ami várhatóan új mértéket teremt middleware területen. Továbbá megjelent a Virtual Assembly Builder mely a rohamosan terjedo virtualizációs környezetben használt konfiguráció menedzsmentjét támogatja hatékonyan. A termék elso nyilvános webcast-jára pedig itt tessék regisztrálni.

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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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  • Petstore using Java EE 6 ? Almost!

    - by arungupta
    Antonio Goncalves, a Java Champion, JUG leader, and a well-known author, has started building a Petstore-like application using Java EE 6. The complete end-to-end sample application will build a eCommerce website and follows the Java EE 6 design principles of simple and easy-to-use to its core. Its using several technologies from the platform such as JPA 2.0, CDI 1.0, Bean Validation 1.0, EJB Lite 3.1, JSF 2.0, and JAX-RS 1.1. The two goals of the project are: • use Java EE 6 and just Java EE 6 : no external framework or dependency • make it simple : no complex business algorithm The application works with GlassFish and JBoss today and there are plans to add support for TomEE. Download the source code from github.com/agoncal/agoncal-application-petstore-ee6. And feel free to fork if you want to use a fancy toolkit as the front-end or show some nicer back-end integration. Some other sources of similar end-to-end applications are: • Java EE 6 Tutorial • Java EE 6 Galleria • Java EE 6 Hands-on Lab

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  • Nokia at JavaOne

    - by Tori Wieldt
    Nokia has long been a key partner for Java Mobile, and they continue investing significantly in Java technologies. Developers can learn more about Nokia's popular Asha phone and developer platform at JavaOne. In addition to interesting technical material, all Nokia sessions will include giveaways (hint: be engaged and ask questions!). Don't miss these great sessions: CON4925 The Right Platform with the Right Technology for Huge Markets with Many Opportunities CON11253 In-App Purchasing for Java ME Apps BOF4747 Look Again: Java ME's New Horizons of User Experience, Service Model, and Internet Innovation BOF12804 Reach the Next Billion with Engaging Apps: Nokia Asha Full Touch for Java ME Developers CON6664 on Mobile Java, Asha, Full Touch, Maps APIs, LWUIT, new UI, new APIs and more CON6494 Extreme Mobile Java Performance Tuning, User Experience, and Architecture BOF6556 Mobile Java App Innovation in Nigeria

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  • How to Integrate Backbone.js with RESTful Web Services in 5 Minutes!

    - by Geertjan
    In NetBeans IDE 7.3, a Backbone.js file can be generated from a Java RESTful web service. The Backbone.js file contains complete CRUD functionality and your HTML5 application can immediately be deployed to make use of those features. Coupled with the NetBeans IDE two-way editing support for HTML5, via interaction with WebKit in Chrome, Backbone.js users have a completely new and powerful tool for coding their HTML5 applications. The above is illustrated via the brand new YouTube movie below: This makes NetBeans IDE 7.3 well suited as a learning tool for new Backbone.js users, as well as a productivity tool for those who are comfortable with Backbone.js already.

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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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  • Nimbuzz buzzes up their new users with Java ME tech

    - by hinkmond
    Nimbuzz is registering mobile users in the tens of millions now. It's partly because they rely on Java ME technology. Smart move! See: Nimbuzz buzzes w/Java ME Here's a quote: Nimbuzz allows users to meet, share and connect with family and friends, and is available across platforms such as [blah-blah-blah], BlackBerry and J2ME, as well as [yadda-yadda- yadda]... It's good to go with Java ME to get that sheer volume on handsets. Also helps to have "buzz" in your product name! Hinkmond

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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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  • HTML Tidy in NetBeans IDE

    - by Geertjan
    First step in integrating HTML Tidy (via its JTidy implementation) into NetBeans IDE: The reason why I started doing this is because I want to integrate this into the pluggable analyzer functionality of NetBeans IDE that I recently blogged about, i.e., where the FindBugs functionality is found. So a logical first step is to get it working in an Action class, after which I can port it into the analyzer infrastructure: import java.awt.event.ActionEvent; import java.awt.event.ActionListener; import java.io.IOException; import java.io.PrintWriter; import java.io.StringWriter; import org.openide.awt.ActionID; import org.openide.awt.ActionReference; import org.openide.awt.ActionReferences; import org.openide.awt.ActionRegistration; import org.openide.cookies.EditorCookie; import org.openide.cookies.LineCookie; import org.openide.loaders.DataObject; import org.openide.text.Line; import org.openide.text.Line.ShowOpenType; import org.openide.util.Exceptions; import org.openide.util.NbBundle.Messages; import org.openide.windows.IOProvider; import org.openide.windows.InputOutput; import org.openide.windows.OutputEvent; import org.openide.windows.OutputListener; import org.openide.windows.OutputWriter; import org.w3c.tidy.Tidy; @ActionID(     category = "Tools", id = "org.jtidy.TidyAction") @ActionRegistration(     displayName = "#CTL_TidyAction") @ActionReferences({     @ActionReference(path = "Loaders/text/html/Actions", position = 150),     @ActionReference(path = "Editors/text/html/Popup", position = 750) }) @Messages("CTL_TidyAction=Run HTML Tidy") public final class TidyAction implements ActionListener {     private final DataObject context;     private final OutputWriter writer;     private EditorCookie ec = null;     public TidyAction(DataObject context) {         this.context = context;         ec = context.getLookup().lookup(org.openide.cookies.EditorCookie.class);         InputOutput io = IOProvider.getDefault().getIO("HTML Tidy", false);         io.select();         writer = io.getOut();     }     @Override     public void actionPerformed(ActionEvent ev) {         Tidy tidy = new Tidy();         try {             writer.reset();             StringWriter stringWriter = new StringWriter();             PrintWriter errorWriter = new PrintWriter(stringWriter);             tidy.setErrout(errorWriter);             tidy.parse(context.getPrimaryFile().getInputStream(), System.out);             String[] split = stringWriter.toString().split("\n");             for (final String string : split) {                 final int end = string.indexOf(" c");                 if (string.startsWith("line")) {                     writer.println(string, new OutputListener() {                         @Override                         public void outputLineAction(OutputEvent oe) {                             LineCookie lc = context.getLookup().lookup(LineCookie.class);                             int lineNumber = Integer.parseInt(string.substring(0, end).replace("line ", ""));                             Line line = lc.getLineSet().getOriginal(lineNumber - 1);                             line.show(ShowOpenType.OPEN, Line.ShowVisibilityType.FOCUS);                         }                         @Override                         public void outputLineSelected(OutputEvent oe) {}                         @Override                         public void outputLineCleared(OutputEvent oe) {}                     });                 }             }         } catch (IOException ex) {             Exceptions.printStackTrace(ex);         }     } } The string parsing above is ugly but gets the job done for now. A problem integrating this into the pluggable analyzer functionality is the limitation of its scope. The analyzer lets you select one or more projects, or individual files, but not a folder. So it doesn't work on folders in the Favorites window, for example, which is where I'd like to apply HTML Tidy, across multiple folders via the analyzer functionality. That's a bit of a bummer that I'm hoping to get around somehow.

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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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  • Processing Text and Binary (Blob, ArrayBuffer, ArrayBufferView) Payload in WebSocket - (TOTD #185)

    - by arungupta
    The WebSocket API defines different send(xxx) methods that can be used to send text and binary data. This Tip Of The Day (TOTD) will show how to send and receive text and binary data using WebSocket. TOTD #183 explains how to get started with a WebSocket endpoint using GlassFish 4. A simple endpoint from that blog looks like: @WebSocketEndpoint("/endpoint") public class MyEndpoint { public void receiveTextMessage(String message) { . . . } } A message with the first parameter of the type String is invoked when a text payload is received. The payload of the incoming WebSocket frame is mapped to this first parameter. An optional second parameter, Session, can be specified to map to the "other end" of this conversation. For example: public void receiveTextMessage(String message, Session session) {     . . . } The return type is void and that means no response is returned to the client that invoked this endpoint. A response may be returned to the client in two different ways. First, set the return type to the expected type, such as: public String receiveTextMessage(String message) { String response = . . . . . . return response; } In this case a text payload is returned back to the invoking endpoint. The second way to send a response back is to use the mapped session to send response using one of the sendXXX methods in Session, when and if needed. public void receiveTextMessage(String message, Session session) {     . . .     RemoteEndpoint remote = session.getRemote();     remote.sendString(...);     . . .     remote.sendString(...);    . . .    remote.sendString(...); } This shows how duplex and asynchronous communication between the two endpoints can be achieved. This can be used to define different message exchange patterns between the client and server. The WebSocket client can send the message as: websocket.send(myTextField.value); where myTextField is a text field in the web page. Binary payload in the incoming WebSocket frame can be received if ByteBuffer is used as the first parameter of the method signature. The endpoint method signature in that case would look like: public void receiveBinaryMessage(ByteBuffer message) {     . . . } From the client side, the binary data can be sent using Blob, ArrayBuffer, and ArrayBufferView. Blob is a just raw data and the actual interpretation is left to the application. ArrayBuffer and ArrayBufferView are defined in the TypedArray specification and are designed to send binary data using WebSocket. In short, ArrayBuffer is a fixed-length binary buffer with no format and no mechanism for accessing its contents. These buffers are manipulated using one of the views defined by one of the subclasses of ArrayBufferView listed below: Int8Array (signed 8-bit integer or char) Uint8Array (unsigned 8-bit integer or unsigned char) Int16Array (signed 16-bit integer or short) Uint16Array (unsigned 16-bit integer or unsigned short) Int32Array (signed 32-bit integer or int) Uint32Array (unsigned 16-bit integer or unsigned int) Float32Array (signed 32-bit float or float) Float64Array (signed 64-bit float or double) WebSocket can send binary data using ArrayBuffer with a view defined by a subclass of ArrayBufferView or a subclass of ArrayBufferView itself. The WebSocket client can send the message using Blob as: blob = new Blob([myField2.value]);websocket.send(blob); where myField2 is a text field in the web page. The WebSocket client can send the message using ArrayBuffer as: var buffer = new ArrayBuffer(10);var bytes = new Uint8Array(buffer);for (var i=0; i<bytes.length; i++) { bytes[i] = i;}websocket.send(buffer); A concrete implementation of receiving the binary message may look like: @WebSocketMessagepublic void echoBinary(ByteBuffer data, Session session) throws IOException {    System.out.println("echoBinary: " + data);    for (byte b : data.array()) {        System.out.print(b);    }    session.getRemote().sendBytes(data);} This method is just printing the binary data for verification but you may actually be storing it in a database or converting to an image or something more meaningful. Be aware of TYRUS-51 if you are trying to send binary data from server to client using method return type. Here are some references for you: JSR 356: Java API for WebSocket - Specification (Early Draft) and Implementation (already 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 Subsequent blogs will discuss the following topics (not necessary in that order) ... Error handling Custom payloads using encoder/decoder Interface-driven WebSocket endpoint Java client API Client and Server configuration Security Subprotocols Extensions Other topics from the API

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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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  • 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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  • 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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  • Reminder: JavaOne Call For Papers Closing April 9th, 11:59pm

    - by arungupta
    JavaOne 2012 Call For Papers is closing on April 9th. Make sure to get your submissions in time and make the reviewers job exciting. Submit now! Read tips for paper submission here and an insight into the review process and more tips here. The conference will be held in San Francisco from September 30th to October 4th, 2012. And between now and this JavaOne in San Francisco, the conference is also going to Japan, Russia, and India.

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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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  • Choice Sessions: Java Champions at JavaOne

    - by Tori Wieldt
    There are so many reasons to attend JavaOne 2012 – great location, great networking opportunities but most importantly, great content! It’s tough to decide which sessions will be worth your while, but we advise you to start your decision making process by checking out sessions delivered by the 21 Java Champions attending and presenting at JavaOne. Java Champions are selected by their peers for their incredible contributions to the Java community and demonstration of their technical expertise in all aspects of Java. Our friend Markus Eisele @myfear has already kindly compiled a list in his blog entry Java Champions at JavaOne 2012 (thanks!). Happy schedule building!

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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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