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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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  • 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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  • WebLogic Server??????????

    - by Masa.Sasaki
    ???2?9??54?????! ?????????????8?WebLogic Server???@???????????WebLogic Server?3?????????????????????????????????????WebLogic Server???????????! WebLogic Server?MBean???????????2?????? ???????????????????????????????????????????????????????????????????????????????WebLogic Server?JRockit??????????????????????????????JRockit???????????&??????????????????????????WebLogic Server????????????????????????????????????????????????????????????????? ??????????????????????????????? ?????JMX MBean??????????GUI??????????????????????WLST (WebLogic Scripting Tool)????????Jython??????????????????????????MBean????????GUI???????????????????????????????????WebLogic Server???????????????????????????????????????????????????? ???????????2?16?(?)???6?:30?????14? WebLogic Server???@????????????????????????????????????????????(??????????)?

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  • HTTP Session Invalidation in Servlet/GlassFish

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

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  • JavaOne 2012 - Why Should I Switch to Java SE 7

    - by sowmya
    At JavaOne 2012, David Keenan and Staffan Friberg gave a presentation to answer why it is beneficial to update your production environment to Java SE 7. The following resources will help you learn more about JDK 7 features and facilitate a smooth transition: * Features and Enhancements and Known Issues * Compatibility with earlier releases * JDK 7 and JRE 7 Certified System Configurations * JDK 7 and JRE 7 Supported Locales * JDK 7 Adoption Guide * Information About 7 Update Releases - Sowmya

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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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  • JavaOne Countdown, Are you ready?

    - by Angela Caicedo
    This is a great time of the year!  Not only does the weather start cooling down a bit, but it's time to get ready for JavaOne 2012.  It feels so long since my last JavaOne (last year I missed it because I was on a mom duty), so this year I couldn't be happier to be this close to the action again.  Have you ever been at JavaOne?  There are a million great reasons to love JavaOne, and the most important for me is the atmosphere of the conference: The Java community is there, and Java is in the air! This year we have more than 450 sessions, and there are HOLs (Hands on labs) to get your hands dirty with code.  In addition, there will be very cool demos, an exhibition hall. and a DEMOground.  During the whole time, you will have the opportunity to interact with the speakers, discuss topics and concerns, and even have a drink! Oh yes, I almost forgot, there will be lots of fun even apart from the technology!  For example there will be a Geek Bike Ride, a Thirsty Bear party, and the Appreciation Party with Pearl Jam and Kings of Leon.  How can this get any better! So, are you ready yet?  Have you registered?  If not, just follow this "Register for JavaOne" link and we'll see you there! P.S.  Little known fact: If you are a student you can get your pass for free!!!

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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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  • 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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  • 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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  • 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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  • 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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  • 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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  • 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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  • 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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  • How to Install WebLogic 12c ZIP on Linux

    - by Bruno.Borges
    I knew that WebLogic had this small ZIP distribution, of only 184M, but what I didn't know was that it is so easy to install it on Linux machines, specially for development purposes, that I thought I had to blog about it. You may want to check this blog, where I found the missing part on this how to, but I'm blogging this again because I wanted to put it in a simpler way, straight to the point. And if you are looking for a how to for Mac, check Arun Gupta's post.  So, here's the step-by-step: 1 - Download the ZIP distribution (don't worry if your system is x86_64)Don't forget to accept the OTN Free Developer License Agreement! 2 - Choose where to install your WebLogic server and your domain, and set as your MW_HOME environment variableI will use /opt/middleware/weblogic for this how to export MW_HOME=/opt/middleware/weblogicMake sure this path exists in your system. 'mydomains' will be used to keep your WebLogic domain. mkdir -p $MW_HOME/mydomain 3 - If you don't have your JAVA_HOME environment variable still configured, do it. Point it to where your JDK is installed. export JAVA_HOME=/usr/lib/jvm/default-java 4 - Unzip the downloaded file into MW_HOME unzip wls1211_dev.zip -d $MW_HOME 5 - Go to that directory and run configure.sh cd $MW_HOME ./configure.sh 6 - Call the setEnvs.sh script . $MW_HOME/wlserver/server/bin/setWLSEnv.sh7 - Create your development domain. It will ask you for username and password. I like to use weblogic / welcome1cd $MW_HOME/mydomain $JAVA_HOME/bin/java $JAVA_OPTIONS -Xmx1024m \ -Dweblogic.management.allowPasswordEcho=true weblogic.Server8 - Start WebLogic and access its web console(sh startWebLogic.sh &); sleep 10; firefox http://localhost:7001/consoleUsually, it takes only 10 seconds to start a domain, and 5 more to deploy the Administration Console (on my laptop). :-)Enjoy!

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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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  • 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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  • 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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  • JCP.Next Progress Updates

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

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  • 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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  • 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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