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  • Identify high CPU consumed thread for Java app

    - by Vincent Ma
    Following java code to emulate busy and Idle thread and start it. import java.util.concurrent.*;import java.lang.*; public class ThreadTest {    public static void main(String[] args) {        new Thread(new Idle(), "Idle").start();        new Thread(new Busy(), "Busy").start();    }}class Idle implements Runnable {    @Override    public void run() {        try {            TimeUnit.HOURS.sleep(1);        } catch (InterruptedException e) {        }    }}class Busy implements Runnable {    @Override    public void run() {        while(true) {            "Test".matches("T.*");        }    }} Using Processor Explorer to get this busy java processor and get Thread id it cost lots of CPU see the following screenshot: Cover to 4044 to Hexadecimal is oxfcc. Using VistulVM to dump thread and get that thread. see the following screenshot In Linux you can use  top -H to get Thread information. That it! Any question let me know. Thanks

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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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  • 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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  • 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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  • 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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  • New Java Tutorials Updated

    - by hinkmond
    The new Java Tutorials are here! The new Java Tutorials are here! So what? So, you can read them on your iPad thingie--if that's how you roll, that is... See: Read New Java Tutorials Here's a quote: What's New The Java Tutorials are continuously updated to keep up with changes to the Java Platform and to incorporate feedback from our readers. Recent updates include the following features: The Generics lesson has been completely reworked... The Java Tutorials are now available in two ebook formats: mobi ebook files for Kindle. ePub ebook files for iPad, Nook, and other eReaders that support the ePub format. Just kick back, open up your favorite tablet or eReader and learn all about the new things in the Java platform. Nice. All you need now is a cool drink and you're all set! Hinkmond

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  • Internal HDs that don't contain the OS aren't accessable unless I try to manually browse them

    - by Hrafn
    So I have 4 internal hard drives, one that contains the OS (Ubuntu 12.04), all ext4. After starting the computer up, and without having tried to access the drives (File manager, terminal etc) it seems like the drives haven't been mounted. If I go into the "Disks" utility I see that the disks haven't been mounted. Programs that try to access the HD's during startup throw an error. For example my music player can't find the library, my note taking software can't find the database etc. But after opening the drive in a file manager everything works. I've checked SMART on all the disks and everything is a ok. Any and all ideas would be appreciated.

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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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  • 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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  • 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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  • OSB, Service Callouts and OQL - Part 3

    - by Sabha
    In the previous sections of the "OSB, Service Callouts and OQL" series, we analyzed the threading model used by OSB for Service Callouts and analysis of OSB Server threads hung in Service callouts and identifying  the Proxies and Remote services involved in the hang using OQL. This final section of the series will focus on the corrective action to avoid Service Callout related OSB Server hangs. Please refer to the blog post for more details.

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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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  • 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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  • Dealing with Fine-Grained Cache Entries in Coherence

    - by jpurdy
    On occasion we have seen significant memory overhead when using very small cache entries. Consider the case where there is a small key (say a synthetic key stored in a long) and a small value (perhaps a number or short string). With most backing maps, each cache entry will require an instance of Map.Entry, and in the case of a LocalCache backing map (used for expiry and eviction), there is additional metadata stored (such as last access time). Given the size of this data (usually a few dozen bytes) and the granularity of Java memory allocation (often a minimum of 32 bytes per object, depending on the specific JVM implementation), it is easily possible to end up with the case where the cache entry appears to be a couple dozen bytes but ends up occupying several hundred bytes of actual heap, resulting in anywhere from a 5x to 10x increase in stated memory requirements. In most cases, this increase applies to only a few small NamedCaches, and is inconsequential -- but in some cases it might apply to one or more very large NamedCaches, in which case it may dominate memory sizing calculations. Ultimately, the requirement is to avoid the per-entry overhead, which can be done either at the application level by grouping multiple logical entries into single cache entries, or at the backing map level, again by combining multiple entries into a smaller number of larger heap objects. At the application level, it may be possible to combine objects based on parent-child or sibling relationships (basically the same requirements that would apply to using partition affinity). If there is no natural relationship, it may still be possible to combine objects, effectively using a Coherence NamedCache as a "map of maps". This forces the application to first find a collection of objects (by performing a partial hash) and then to look within that collection for the desired object. This is most naturally implemented as a collection of entry processors to avoid pulling unnecessary data back to the client (and also to encapsulate that logic within a service layer). At the backing map level, the NIO storage option keeps keys on heap, and so has limited benefit for this situation. The Elastic Data features of Coherence naturally combine entries into larger heap objects, with the caveat that only data -- and not indexes -- can be stored in Elastic Data.

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  • NetBeans "Find Usages" Tool Integrates JSF Expression Language

    - by Geertjan
    I saw this by Adam on Twitter today: Interesting. Let's try it. Here's my method "getCustomerId". I select it, right-click, and choose "Find Usages" (or press Alt-F7): A nice dialog appears: Then click "Find" and, guess what, this is what I see (click to enlarge it): Clearly, as you can see, I'm not only finding the Java controller class where the getter is used, but also the Facelets files, and, within those, the exact lines where the JSF expression language makes use of the getter. This is not a new feature, tried it and got the same result in 7.1.1, but it's really cool to know about nonetheless.

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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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  • Configuring JMS and Message Queues in GlassFish - Sample Chapter

    - by arungupta
    PacktPub released Java EE 6 with GlassFish 3 Application Server a few months after the first version in GlassFish 3 train was released. This book is a practical guide to install and configure the GlassFish 3 Application Server and develop and deploy Java EE 6 applications on this server. Recently they released a sample chapter on how to configure JMS and message queues in GlassFish. The chapter provide complete snapshots from the web-based admin console and working sample code. The Table of Contents shows that all major Java EE 6 APIs and the details of the GlassFish 3 server are covered followed by examples of its use. This book is a practical guide with a very user-friendly approach. Read about other books on Java EE and GlassFish here.

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  • QotD: Eben Upton on Raspberry Pi Model B Shipping With 512MB of RAM

    - by $utils.escapeXML($entry.author)
    One of the most common suggestions we’ve heard since launch is that we should produce a more expensive “Model C” version of Raspberry Pi with extra RAM. This would be useful for people who want to use the Pi as a general-purpose computer, with multiple large applications running concurrently, and would enable some interesting embedded use cases (particularly using Java) which are slightly too heavyweight to fit comfortably in 256MB.The downside of this suggestion for us is that we’re very attached to $35 as our highest price point. With this in mind, we’re pleased to announce that from today all Model B Raspberry Pis will ship with 512MB of RAM as standard.Eben Upton, a founder and trustee of the Raspberry Pi foundation, in a blog post announcing the change.

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  • Leveraging the Cloud to drive down costs and increase IT Agility

    The age of capital intensive IT is a thing of the past as scalability and pay-for-use will dominate in the new normal and as such, IT transformation is a necessity to make scalable what has traditionally been a largely fixed cost operation. IT functions can increase their agile capability most effectively by employing on-demand strategies that drive cost and capacity variability into their services rather than purely their technology. As companies move to the cloud they will also see an increase in their ability to accelerate time to market and capacity for innovation. Join us for this short, but informative interview with Tony Chauhan, Sr. Advisor with The Hackett Group as he provides his insights into effective cloud strategies.

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  • IRC News from #netbeans on FreeNode

    - by Geertjan
    I joined the #netbeans channel on FreeNode last week and the discussions there are really great. It's so cool to not have the endless back and forth of an e-mail exchange. Instead, you can hammer out a complete solution to a problem while chatting live in the channel. A case in point was yesterday, when someone named 'charmeleon' wanted to create a NetBeans Platform based application that includes the "image" module from the NetBeans IDE sources. That way, he'd have a starting point for his own image-oriented application, since he'd not only have the NetBeans Platform, but also the sources of the "image" module. Had we been communicating via e-mail, it would have taken weeks, at least, to come to a solution. Instead, we hashed it out together live, including some very specific problems that would have been hard to communicate about via e-mail. In the end, I made a movie showing exactly the scenario that charmeleon was interested in: And, right now, in the #netbeans channel, charmeleon said: "NetBeans RCP feels like cheating once you start getting over the hump." I'm sure the fact that the hump was handled within a few hours of chatting on irc is a big contributor to that impression.

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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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  • 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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