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  • Library order is important

    - by Darryl Gove
    I've written quite extensively about link ordering issues, but I've not discussed the interaction between archive libraries and shared libraries. So let's take a simple program that calls a maths library function: #include <math.h int main() { for (int i=0; i<10000000; i++) { sin(i); } } We compile and run it to get the following performance: bash-3.2$ cc -g -O fp.c -lm bash-3.2$ timex ./a.out real 6.06 user 6.04 sys 0.01 Now most people will have heard of the optimised maths library which is added by the flag -xlibmopt. This contains optimised versions of key mathematical functions, in this instance, using the library doubles performance: bash-3.2$ cc -g -O -xlibmopt fp.c -lm bash-3.2$ timex ./a.out real 2.70 user 2.69 sys 0.00 The optimised maths library is provided as an archive library (libmopt.a), and the driver adds it to the link line just before the maths library - this causes the linker to pick the definitions provided by the static library in preference to those provided by libm. We can see the processing by asking the compiler to print out the link line: bash-3.2$ cc -### -g -O -xlibmopt fp.c -lm /usr/ccs/bin/ld ... fp.o -lmopt -lm -o a.out... The flag to the linker is -lmopt, and this is placed before the -lm flag. So what happens when the -lm flag is in the wrong place on the command line: bash-3.2$ cc -g -O -xlibmopt -lm fp.c bash-3.2$ timex ./a.out real 6.02 user 6.01 sys 0.01 If the -lm flag is before the source file (or object file for that matter), we get the slower performance from the system maths library. Why's that? If we look at the link line we can see the following ordering: /usr/ccs/bin/ld ... -lmopt -lm fp.o -o a.out So the optimised maths library is still placed before the system maths library, but the object file is placed afterwards. This would be ok if the optimised maths library were a shared library, but it is not - instead it's an archive library, and archive library processing is different - as described in the linker and library guide: "The link-editor searches an archive only to resolve undefined or tentative external references that have previously been encountered." An archive library can only be used resolve symbols that are outstanding at that point in the link processing. When fp.o is placed before the libmopt.a archive library, then the linker has an unresolved symbol defined in fp.o, and it will search the archive library to resolve that symbol. If the archive library is placed before fp.o then there are no unresolved symbols at that point, and so the linker doesn't need to use the archive library. This is why libmopt needs to be placed after the object files on the link line. On the other hand if the linker has observed any shared libraries, then at any point these are checked for any unresolved symbols. The consequence of this is that once the linker "sees" libm it will resolve any symbols it can to that library, and it will not check the archive library to resolve them. This is why libmopt needs to be placed before libm on the link line. This leads to the following order for placing files on the link line: Object files Archive libraries Shared libraries If you use this order, then things will consistently get resolved to the archive libraries rather than to the shared libaries.

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  • New Procurement Report for Transportation Sourcing

    - by John Murphy
    Welcome to our fourth annual transportation procurement benchmark report. American Shipper, in partnership with the Council of Supply Chain Management Professionals (CSCMP) and the Retail Industry Leaders Association (RILA), surveyed roughly 275 transportation buyers and sellers on procurement practices, processes, technologies and results. Some key findings: • Manual, spreadsheet-based procurement processes remain the most prevalent among transportation buyers, with 42 percent of the total • Another 25 percent of respondents use a hybrid platform, which presumably means these buyers are using spreadsheets for at least one mode and/or geography • Only 23 percent of buyers are using a completely systems-based approach of some kind • Shippers were in a holding pattern with regards to investment in procurement systems the past year • Roughly three-quarters of survey respondents report that transportation spend has increased in 2012, although the pace has declined slightly from last year’s increases • Nearly every survey respondent purchases multiple modes of transportation • The number of respondents with plans to address technology to support the procurement process has increased in 2012. About one quarter of respondents who do not have a system report they have a budget for this investment in the next two years.

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  • YouTube: CoffeeScript Rocks (in NetBeans IDE)

    - by Geertjan
    CoffeeScript is a handy preprocessor for JavaScript, as shown in a quick demo below on YouTube, using the CoffeeScript plugin for NetBeans IDE. Right now, the NetBeans Plugin Portal doesn't have a CoffeeScript plugin for NetBeans IDE 7.4, but not to worry, the NetBeans IDE 7.3 plugin works just fine. http://plugins.netbeans.org/plugin/39007/coffeescript-netbeans Here's a small YouTube clip I made today showing how it all works: Also read this very handy and detailed NetBeans tutorial, on which I based the demo above: https://netbeans.org/kb/docs/web/js-toolkits-jquery.html Related info: http://www.youtube.com/watch?v=QgqVh_KpVKY http://www.ibm.com/developerworks/library/wa-coffee1/ http://blog.sethladd.com/2012/01/vanilla-dart-ftw.html http://api.jquery.com/fadeOut/

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  • Kostenlose MySQL Seminare im Mai

    - by A&C Redaktion
    Im Mai führen wir für Sie zahlreiche MySQL Seminare mit unterschiedlichen Themenschwerpunkten durch. Vom „Skalierbarkeitstag“ über einen praxisorienterten MySQL Enterprise Workshop bis hin zum Überblick über die Hochverfügbarkeitslösungen für MySQL mit Anwendungsbeispiel aus der Praxis. Wir würden uns sehr freuen, Sie bei einem dieser Seminare begrüßen zu dürfen. Die einzelnen Termine und Anmeldungslinks finden Sie hier. Wir freuen uns auf Ihre Teilnahme!

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  • GNOME 3.4 released, with smooth & fast magnification

    - by Peter Korn
    The GNOME community released GNOME 3.4 today. This release contains several new accessibility features, along with a new set of custom high-contrast icons which improve the user experience for users needing improved contrast. This release also makes available the AEGIS-funded GNOME Shell Magnifier. This magnifier leverages the powerful graphics functionality built into all modern video cards for smooth and fast magnification in GNOME. You can watch a video of that magnifier (with the previous version of the preference dialog), which shows all of the features now available in GNOME 3.4. This includes full/partial screen magnification, a magnifier lens, full or partial mouse cross hairs with translucency, and several mouse tracking modes. Future improvements planned for GNOME 3.6 include focus & caret tracking, and a variety of color/contrast controls.

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  • Inline template efficiency

    - by Darryl Gove
    I like inline templates, and use them quite extensively. Whenever I write code with them I'm always careful to check the disassembly to see that the resulting output is efficient. Here's a potential cause of inefficiency. Suppose we want to use the mis-named Leading Zero Detect (LZD) instruction on T4 (this instruction does a count of the number of leading zero bits in an integer register - so it should really be called leading zero count). So we put together an inline template called lzd.il looking like: .inline lzd lzd %o0,%o0 .end And we throw together some code that uses it: int lzd(int); int a; int c=0; int main() { for(a=0; a<1000; a++) { c=lzd(c); } return 0; } We compile the code with some amount of optimisation, and look at the resulting code: $ cc -O -xtarget=T4 -S lzd.c lzd.il $ more lzd.s .L77000018: /* 0x001c 11 */ lzd %o0,%o0 /* 0x0020 9 */ ld [%i1],%i3 /* 0x0024 11 */ st %o0,[%i2] /* 0x0028 9 */ add %i3,1,%i0 /* 0x002c */ cmp %i0,999 /* 0x0030 */ ble,pt %icc,.L77000018 /* 0x0034 */ st %i0,[%i1] What is surprising is that we're seeing a number of loads and stores in the code. Everything could be held in registers, so why is this happening? The problem is that the code is only inlined at the code generation stage - when the actual instructions are generated. Earlier compiler phases see a function call. The called functions can do all kinds of nastiness to global variables (like 'a' in this code) so we need to load them from memory after the function call, and store them to memory before the function call. Fortunately we can use a #pragma directive to tell the compiler that the routine lzd() has no side effects - meaning that it does not read or write to memory. The directive to do that is #pragma no_side_effect(<routine name), and it needs to be placed after the declaration of the function. The new code looks like: int lzd(int); #pragma no_side_effect(lzd) int a; int c=0; int main() { for(a=0; a<1000; a++) { c=lzd(c); } return 0; } Now the loop looks much neater: /* 0x0014 10 */ add %i1,1,%i1 ! 11 ! { ! 12 ! c=lzd(c); /* 0x0018 12 */ lzd %o0,%o0 /* 0x001c 10 */ cmp %i1,999 /* 0x0020 */ ble,pt %icc,.L77000018 /* 0x0024 */ nop

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  • Spotlight on GlassFish 4.1: #7 WebSocket Session Throttling and JMX Monitoring

    - by delabassee
    'Spotlight on GlassFish 4.1' is a series of posts that highlights specific enhancements of the upcoming GlassFish 4.1 release. It could be a new feature, a fix, a behavior change, a tip, etc. #7 WebSocket Session Throttling and JMX Monitoring GlassFish 4.1 embeds Tyrus 1.8.1 which is compliant with the Maintenance Release of JSR 356 ("WebSocket API 1.1"). This release also brings brings additional features to the WebSocket support in GlassFish. JMX Monitoring: Tyrus now exposes WebSocket metrics through JMX . In GF 4.1, the following message statistics are monitored for both sent and received messages: messages count messages count per second average message size smallest message size largest message size Those statistics are collected independently of the message type (global count) and per specific message type (text, binary and control message). In GF 4.1, Tyrus also monitors, and exposes through JMX, errors at the application and endpoint level. For more information, please check Tyrus JMX Monitoring Session Throttling To preserve resources on the server hosting websocket endpoints, Tyrus now offers ways to limit the number of open sessions. Those limits can be configured at different level: per whole application per endpoint per remote endpoint address (client IP address)   For more details, check Tyrus Session Throttling. The next entry will focus on Tyrus new clients-side features.

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  • Skynet Big Data Demo Using Hexbug Spider Robot, Raspberry Pi, and Java SE Embedded (Part 3)

    - by hinkmond
    In Part 2, I described what connections you need to make for this demo using a Hexbug Spider Robot, a Raspberry Pi, and Java SE Embedded for programming. Here are some photos of me doing the soldering. Software engineers should not be afraid of a little soldering work. It's all good. See: Skynet Big Data Demo (Part 2) One thing to watch out for when you open the remote is that there may be some glue covering the contact points. Make sure to use an Exacto knife or small screwdriver to scrape away any glue or non-conductive material covering each place where you need to solder. And after you are done with your soldering and you gave the solder enough time to cool, make sure all your connections are marked so that you know which wire goes where. Give each wire a very light tug to make sure it is soldered correctly and is making good contact. There are lots of videos on the Web to help you if this is your first time soldering. Check out Laday Ada's (from adafruit.com) links on how to solder if you need some additional help: http://www.ladyada.net/learn/soldering/thm.html If everything looks good, zip everything back up and meet back here for how to connect these wires to your Raspberry Pi. That will be it for the hardware part of this project. See, that wasn't so bad. Hinkmond

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  • Harnessing Business Events for Predictive Decision Making - part 1 / 3

    - by Sanjeev Sharma
    Businesses have long relied on data mining to elicit patterns and forecast future demand and supply trends. Improvements in computing hardware, specifically storage and compute capacity, have significantly enhanced the ability to store and analyze mountains of data in ever shrinking time-frames. Nevertheless, the reality is that data growth is outpacing storage capacity by a factor of two and computing power is still very much bounded by Moore's Law, doubling only every 18 months.Faced with this data explosion, businesses are exploring means to develop human brain-like capabilities in their decision systems (including BI and Analytics) to make sense of the data storm, in other words business events, in real-time and respond pro-actively rather than re-actively. It is more like having a little bit of the right information just a little bit before hand than having all of the right information after the fact. To appreciate this thought better let's first understand the workings of the human brain.Neuroscience research has revealed that the human brain is predictive in nature and that talent is nothing more than exceptional predictive ability. The cerebral-cortex, part of the human brain responsible for cognition, thought, language etc., comprises of five layers. The lowest layer in the hierarchy is responsible for sensory perception i.e. discrete, detail-oriented tasks whereas each of the above layers increasingly focused on assembling higher-order conceptual models. Information flows both up and down the layered memory hierarchy. This allows the conceptual mental-models to be refined over-time through experience and repetition. Secondly, and more importantly, the top-layers are able to prime the lower layers to anticipate certain events based on the existing mental-models thereby giving the brain a predictive ability. In a way the human brain develops a "memory of the future", some sort of an anticipatory thinking which let's it predict based on occurrence of events in real-time. A higher order of predictive ability stems from being able to recognize the lack of certain events. For instance, it is one thing to recognize the beats in a music track and another to detect beats that were missed, which involves a higher order predictive ability.Existing decision systems analyze historical data to identify patterns and use statistical forecasting techniques to drive planning. They are similar to the human-brain in that they employ business rules very much like mental-models to chunk and classify information. However unlike the human brain existing decision systems are unable to evolve these rules automatically (AI still best suited for highly specific tasks) and  predict the future based on real-time business events. Mistake me not,  existing decision systems remain vital to driving long-term and broader business planning. For instance, a telco will still rely on BI and Analytics software to plan promotions and optimize inventory but tap into business events enabled predictive insight to identify specifically which customers are likely to churn and engage with them pro-actively. In the next post, i will depict the technology components that enable businesses to harness real-time events and drive predictive decision making.

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  • Salon du E-commerce et Social CRM B2B

    - by Valérie De Montvallon
    Nous participions au Salon du E-commerce et Social CRM B2B en septembre dernier et nous vous proposons la vidéo réalisée par Les décideurs de la relation client. Découvrez des avis d'experts de la Relation Client pour en savoir toujours plus sur le Social CRM BtoB. Pour le BtoB, la gestion de la Relation Client semble bien simple quand il s’agit de récolter des informations à partir d’appels téléphoniques, d’entretiens physiques ou d’emails. Toutefois, la tâche s’enhardit sur les réseaux sociaux. Ces plateformes sont-elles réellement adaptées au BtoB ? Comment procéder quand on se lance ? Quels sont les pièges à éviter ? Quels sont les éléments qui laissent à penser que le Social CRM BtoB est une vraie tendance de la Relation Client ? Autant de questions auxquelles les experts rencontrés ont apporté des éléments de réponse. Vous découvrirez l'interview de notre expert, Khalid Madarbokus, qui s'exprime sur la remontée d'informations depuis les médias sociaux au sein des départements d'une entreprise B2B (à 3:20)

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  • Take Two: Comparing JVMs on ARM/Linux

    - by user12608080
    Although the intent of the previous article, entitled Comparing JVMs on ARM/Linux, was to introduce and highlight the availability of the HotSpot server compiler (referred to as c2) for Java SE-Embedded ARM v7,  it seems, based on feedback, that everyone was more interested in the OpenJDK comparisons to Java SE-E.  In fact there were two main concerns: The fact that the previous article compared Java SE-E 7 against OpenJDK 6 might be construed as an unlevel playing field because version 7 is newer and therefore potentially more optimized. That the generic compiler settings chosen to build the OpenJDK implementations did not put those versions in a particularly favorable light. With those considerations in mind, we'll institute the following changes to this version of the benchmarking: In order to help alleviate an additional concern that there is some sort of benchmark bias, we'll use a different suite, called DaCapo.  Funded and supported by many prestigious organizations, DaCapo's aim is to benchmark real world applications.  Further information about DaCapo can be found at http://dacapobench.org. At the suggestion of Xerxes Ranby, who has been a great help through this entire exercise, a newer Linux distribution will be used to assure that the OpenJDK implementations were built with more optimal compiler settings.  The Linux distribution in this instance is Ubuntu 11.10 Oneiric Ocelot. Having experienced difficulties getting Ubuntu 11.10 to run on the original D2Plug ARMv7 platform, for these benchmarks, we'll switch to an embedded system that has a supported Ubuntu 11.10 release.  That platform is the Freescale i.MX53 Quick Start Board.  It has an ARMv7 Coretex-A8 processor running at 1GHz with 1GB RAM. We'll limit comparisons to 4 JVM implementations: Java SE-E 7 Update 2 c1 compiler (default) Java SE-E 6 Update 30 (c1 compiler is the only option) OpenJDK 6 IcedTea6 1.11pre 6b23~pre11-0ubuntu1.11.10.2 CACAO build 1.1.0pre2 OpenJDK 6 IcedTea6 1.11pre 6b23~pre11-0ubuntu1.11.10.2 JamVM build-1.6.0-devel Certain OpenJDK implementations were eliminated from this round of testing for the simple reason that their performance was not competitive.  The Java SE 7u2 c2 compiler was also removed because although quite respectable, it did not perform as well as the c1 compilers.  Recall that c2 works optimally in long-lived situations.  Many of these benchmarks completed in a relatively short period of time.  To get a feel for where c2 shines, take a look at the first chart in this blog. The first chart that follows includes performance of all benchmark runs on all platforms.  Later on we'll look more at individual tests.  In all runs, smaller means faster.  The DaCapo aficionado may notice that only 10 of the 14 DaCapo tests for this version were executed.  The reason for this is that these 10 tests represent the only ones successfully completed by all 4 JVMs.  Only the Java SE-E 6u30 could successfully run all of the tests.  Both OpenJDK instances not only failed to complete certain tests, but also experienced VM aborts too. One of the first observations that can be made between Java SE-E 6 and 7 is that, for all intents and purposes, they are on par with regards to performance.  While it is a fact that successive Java SE releases add additional optimizations, it is also true that Java SE 7 introduces additional complexity to the Java platform thus balancing out any potential performance gains at this point.  We are still early into Java SE 7.  We would expect further performance enhancements for Java SE-E 7 in future updates. In comparing Java SE-E to OpenJDK performance, among both OpenJDK VMs, Cacao results are respectable in 4 of the 10 tests.  The charts that follow show the individual results of those four tests.  Both Java SE-E versions do win every test and outperform Cacao in the range of 9% to 55%. For the remaining 6 tests, Java SE-E significantly outperforms Cacao in the range of 114% to 311% So it looks like OpenJDK results are mixed for this round of benchmarks.  In some cases, performance looks to have improved.  But in a majority of instances, OpenJDK still lags behind Java SE-Embedded considerably. Time to put on my asbestos suit.  Let the flames begin...

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  • Great Java EE Concurrency Write-up!

    - by reza_rahman
    As you are aware JSR-236, Concurrency Utilities for the Java EE platform, is now a candidate for addition into Java EE 7. While it is a critical enabling API it is not necessarily obvious why it is so important. This is especially true with existing features like EJB 3 @Asynchronous, Servlet 3 async and JAX-RS 2 async. On his blog DZone MVB Sander Mak does an excellent job of explaining the motivation and importance of JSR-236. Perhaps even more importantly, he discusses potential issues with the API such alignment with CDI and Java SE Fork/Join. Read the excellent write-up here!

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  • sqlplus: Running "set lines" and "set pagesize" automatially

    - by katsumii
    This is a followup to my previous entry. Using the full tty real estate with sqlplus (INOUE Katsumi @ Tokyo) 'rlwrap' is widely used for adding 'sqlplus' the history function and command line editing. Here's another but again kludgy implementation. First this is the alias. alias sqlplus="rlwrap -z ~/sqlplus.filter sqlplus" And this is the file content. #!/usr/bin/env perl use lib ($ENV{RLWRAP_FILTERDIR} or "."); use RlwrapFilter; use POSIX qw(:signal_h); use strict; my $filter = new RlwrapFilter; $filter -> prompt_handler(\&prompt); sigprocmask(SIG_UNBLOCK, POSIX::SigSet->new(28)); $SIG{WINCH} = 'winchHandler'; $filter -> run; sub winchHandler { $filter -> input_handler(\&input); sigprocmask(SIG_UNBLOCK, POSIX::SigSet->new(28)); $SIG{WINCH} = 'winchHandler'; $filter -> run; } sub input { $filter -> input_handler(undef); return `resize |sed -n "1s/COLUMNS=/set linesize /p;2s/LINES=/set pagesize /p"` . $_; } sub prompt { if ($_ =~ "SQL> ") { $filter -> input_handler(\&input); $filter -> prompt_handler(undef); } return $_; } I hope I can compare these 2 implementations after testing more and getting some feedbacks.

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  • How to Create a Custom Refresh Image in Windows 8

    - by Taylor Gibb
    We have already shown you how to use the Refresh and Reset features in Windows 8, now we are back to show you how you can create a custom refresh image. This means next time you refresh your Windows 8 PC, you can use a custom image instead of the one that shipped with your PC. When you refresh your PC, all your files as well as Metro applications that you downloaded from the Windows store are kept. This is great, however, all your non-metro applications and PC settings are removed. If you are like me and have a lot of non-metro apps this can be very annoying, but you can fix this by creating a refresh image that already has your apps installed and your settings tweaked. 6 Start Menu Replacements for Windows 8 What Is the Purpose of the “Do Not Cover This Hole” Hole on Hard Drives? How To Log Into The Desktop, Add a Start Menu, and Disable Hot Corners in Windows 8

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  • Sortable & Filterable PrimeFaces DataTable

    - by Geertjan
    <h:form> <p:dataTable value="#{resultManagedBean.customers}" var="customer"> <p:column id="nameHeader" filterBy="#{customer.name}" sortBy="#{customer.name}"> <f:facet name="header"> <h:outputText value="Name" /> </f:facet> <h:outputText value="#{customer.name}" /> </p:column> <p:column id="cityHeader" filterBy="#{customer.city}" sortBy="#{customer.city}"> <f:facet name="header"> <h:outputText value="City" /> </f:facet> <h:outputText value="#{customer.city}" /> </p:column> </p:dataTable> </h:form> That gives me this: And here's the filter in action: Behind this, I have: import com.mycompany.mavenproject3.entities.Customer; import java.io.Serializable; import java.util.List; import javax.annotation.PostConstruct; import javax.ejb.EJB; import javax.faces.bean.RequestScoped; import javax.inject.Named; @Named(value = "resultManagedBean") @RequestScoped public class ResultManagedBean implements Serializable { @EJB private CustomerSessionBean customerSessionBean; public ResultManagedBean() { } private List<Customer> customers; @PostConstruct public void init(){ customers = customerSessionBean.getCustomers(); } public List<Customer> getCustomers() { return customers; } public void setCustomers(List<Customer> customers) { this.customers = customers; } } And the above refers to the EJB below, which is a standard EJB that I create in all my Java EE 6 demos: import com.mycompany.mavenproject3.entities.Customer; import java.io.Serializable; import java.util.List; import javax.ejb.Stateless; import javax.persistence.EntityManager; import javax.persistence.PersistenceContext; @Stateless public class CustomerSessionBean implements Serializable{ @PersistenceContext EntityManager em; public List getCustomers() { return em.createNamedQuery("Customer.findAll").getResultList(); } } Only problem is that the columns are only sortable after the first time I use the filter.

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  • UNESCO, J-ISIS, and the JavaFX 2.2 WebView

    - by Geertjan
    J-ISIS, which is the newly developed Java version of the UNESCO generalized information storage and retrieval system for bibliographic information, continues to be under heavy development and code refactoring in its open source repository. Read more about J-ISIS and its NetBeans Platform basis here. Soon a new version will be available for testing and it would be cool to see the application in action at that time. Currently, it looks as follows, though note that the menu bar is under development and many menus you see there will be replaced or removed soon: About one aspect of the application, the browser, which you can see above, Jean-Claude Dauphin, its project lead, wrote me the following: The DJ-Native Swing JWebBrowser has been a nice solution for getting a Java Web Browser for most popular platforms. But the Java integration has always produced from time to time some strange behavior (like losing the focus on the other components after clicking on the Browser window, overlapping of windows, etc.), most probably because of mixing heavyweight and lightweight components and also because of our incompetency in solving the issues. Thus, recently we changed for the JavaFX 2.2 WebWiew. The integration with Java is fine and we have got rid of all the DJ-Native Swing problems. However, we have lost some features which were given for free with the native browsers such as downloading resources in different formats and opening them in the right application. This is a pretty cool step forward, i.e., the JavaFX integration. It also confirms for me something I've heard other people saying too: the JavaFX WebView component is a perfect low threshold entry point for Swing developers feeling their way into the world of JavaFX.

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  • Experiencing the New Social Enterprise

    - by kellsey.ruppel
    Social media and networking tools, popularly known as Web 2.0 technologies, are rapidly transforming user expectations of enterprise systems. Many organizations are investing in these new tools to cultivate a modern user experience in an “Enterprise 2.0” environment that unlocks the full potential of traditional IT systems and fosters collaboration in key business processes. Here are some key points and takeaways from some of the keynotes yesterday at the Enterprise 2.0 Conference: Social networks continue to forge complex connections between people, processes, and content, facilitating collaboration and the sharing of information The customer of today lives inside of Facebook, on your web, or has an app for that – and they have a question – and want an answer NOW Empowered employees are able to connect to colleagues, build relationships, develop expertise, self-select projects of interest to them, and expand skill sets well beyond their formal roles A fundamental promise of Enterprise 2.0 is that ideas will be generated and shared by everyone across the organization, leading to increased innovation, agility, and competitive advantage How well is your organizating delivering on these concepts? Are you able to successfully bring together people, processes and content? Are you providing the social tools your employees want and need? Are you experiencing the new social enterprise?

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  • Parleys Testimonial at GlassFish Community Event, JavaOne 2012

    - by arungupta
    Parleys.com is an e-learning platform that provide a unique experience of online and offline viewing presentations, with integrated movies and chaptering, from the top notch developer conferences and about 40 JUGs all around the world. Stephan Janssen (the Devoxx man and Parleys webmaster) presented at the GlassFish Community Event at JavaOne 2012 and shared why they moved from Tomcat to GlassFish. The move paid off as GlassFish was able to handle 2000 concurrent users very easily. Now they are also running Devoxx CFP and registration on this updated infrastructure. The GlassFish clustering, the asadmin CLI, application versioning, and JMS implementation are some of the features that made them a happy user. Recently they migrated their application from Spring to Java EE 6. This allows them to get locked into proprietary frameworks and also avoid 40MB WAR file deployments. Stateless application, JAX-RS, MongoDB, and Elastic Search is their magical forumla for success there. Watch the video below showing him in full action: More details about their infrastructure is available here.

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  • Exalogic 2.0.1 Tea Break Snippets - Creating and using Distribution Groups

    - by The Old Toxophilist
    By default running your Exalogic in a Virtual provides you with, what to Cloud Users, is a single large resource and they can just create vServers and not care about how they are laid down on the the underlying infrastructure. All the Cloud Users will know is that they can create vServers. For example if we have a Quarter Rack (8 Nodes) and our Cloud User creates 8 vServers those 8 vServers may run on 8 distinct nodes or may all run on the same node. Although in many cases we, as Cloud Users, may not be to worried how the Virtualisation Algorithm decides where to place our vServers there are cases where it is extremely important that vServers run on distinct physical compute nodes. For example if we have a Weblogic Cluster we will want the Servers with in the cluster to run on distinct physical node to cover for the situation where one physical node is lost. To achieve this the Exalogic Virtualised implementation provides Distribution Groups that define and anti-aliasing policy that the underlying Virtualisation Algorithm will take into account when placing vServers. It should be noted that Distribution Groups must be created before you create vServers because a vServer can only be added to a Distribution Group at creation time. Creating A Distribution Group To create a Distribution Groups we will first need to select the Account in which we want the Distribution Group to be created. Once we have selected the account we will see the Interface update and Account specific Actions will be displayed within the Action Panes. From the Action pane (or Right-Click on the Account) select the "Create Distribution Group" action. This will initiate the create wizard as follows. Distribution Group Details Within the first Step of the Wizard we can specify the name of the distribution group and this should be unique. In addition we can provide a detailed description of the group. Distribution Group Configuration The second step of the configuration wizard allows you to specify the number of elements that are required within this group and will specify a maximum of the number of nodes within you Exalogic. At this point it is always better to specify a group with spare capacity allowing for future expansion. As vServers are added to group the available slots decrease. Summary Finally the last step of the wizard display a summary of the information entered.

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  • NetBeans IDE 7.3 Knows Null

    - by Geertjan
    What's the difference between these two methods, "test1" and "test2"? public int test1(String str) {     return str.length(); } public int test2(String str) {     if (str == null) {         System.err.println("Passed null!.");         //forgotten return;     }     return str.length(); } The difference, or at least, the difference that is relevant for this blog entry, is that whoever wrote "test2" apparently thinks that the variable "str" may be null, though did not provide a null check. In NetBeans IDE 7.3, you see this hint for "test2", but no hint for "test1", since in that case we don't know anything about the developer's intention for the variable and providing a hint in that case would flood the source code with too many false positives:  Annotations are supported in understanding how a piece of code is intended to be used. If method return types use @Nullable, @NullAllowed, @CheckForNull, the value is considered to be "strongly possible to be null", as well as if the variable is tested to be null, as shown above. When using @NotNull, @NonNull, @Nonnull, the value is considered to be non-null. (The exact FQNs of the annotations are ignored, only simple names are checked.) Here are examples showing where the hints are displayed for the non-null hints (the "strongly possible to be null" hints are not shown below, though you can see one of them in the screenshot above), together with a comment showing what is shown when you hover over the hint: There isn't a "one size fits all" refactoring for these various instances relating to null checks, hence you can't do an automated refactoring across your code base via tools in NetBeans IDE, as shown yesterday for class member reordering across code bases. However, you can, instead, go to Source | Inspect and then do a scan throughout a scope (e.g., current file/package/project or combinations of these or all open projects) for class elements that the IDE identifies as potentially having a problem in this area: Thanks to Jan Lahoda, who reports that this currently also works in NetBeans IDE 7.3 dev builds for fields but that may need to be disabled since right now too many false positives are returned, for help with the info above and any misunderstandings are my own fault!

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  • Performance triage

    - by Dave
    Folks often ask me how to approach a suspected performance issue. My personal strategy is informed by the fact that I work on concurrency issues. (When you have a hammer everything looks like a nail, but I'll try to keep this general). A good starting point is to ask yourself if the observed performance matches your expectations. Expectations might be derived from known system performance limits, prototypes, and other software or environments that are comparable to your particular system-under-test. Some simple comparisons and microbenchmarks can be useful at this stage. It's also useful to write some very simple programs to validate some of the reported or expected system limits. Can that disk controller really tolerate and sustain 500 reads per second? To reduce the number of confounding factors it's better to try to answer that question with a very simple targeted program. And finally, nothing beats having familiarity with the technologies that underlying your particular layer. On the topic of confounding factors, as our technology stacks become deeper and less transparent, we often find our own technology working against us in some unexpected way to choke performance rather than simply running into some fundamental system limit. A good example is the warm-up time needed by just-in-time compilers in Java Virtual Machines. I won't delve too far into that particular hole except to say that it's rare to find good benchmarks and methodology for java code. Another example is power management on x86. Power management is great, but it can take a while for the CPUs to throttle up from low(er) frequencies to full throttle. And while I love "turbo" mode, it makes benchmarking applications with multiple threads a chore as you have to remember to turn it off and then back on otherwise short single-threaded runs may look abnormally fast compared to runs with higher thread counts. In general for performance characterization I disable turbo mode and fix the power governor at "performance" state. Another source of complexity is the scheduler, which I've discussed in prior blog entries. Lets say I have a running application and I want to better understand its behavior and performance. We'll presume it's warmed up, is under load, and is an execution mode representative of what we think the norm would be. It should be in steady-state, if a steady-state mode even exists. On Solaris the very first thing I'll do is take a set of "pstack" samples. Pstack briefly stops the process and walks each of the stacks, reporting symbolic information (if available) for each frame. For Java, pstack has been augmented to understand java frames, and even report inlining. A few pstack samples can provide powerful insight into what's actually going on inside the program. You'll be able to see calling patterns, which threads are blocked on what system calls or synchronization constructs, memory allocation, etc. If your code is CPU-bound then you'll get a good sense where the cycles are being spent. (I should caution that normal C/C++ inlining can diffuse an otherwise "hot" method into other methods. This is a rare instance where pstack sampling might not immediately point to the key problem). At this point you'll need to reconcile what you're seeing with pstack and your mental model of what you think the program should be doing. They're often rather different. And generally if there's a key performance issue, you'll spot it with a moderate number of samples. I'll also use OS-level observability tools to lock for the existence of bottlenecks where threads contend for locks; other situations where threads are blocked; and the distribution of threads over the system. On Solaris some good tools are mpstat and too a lesser degree, vmstat. Try running "mpstat -a 5" in one window while the application program runs concurrently. One key measure is the voluntary context switch rate "vctx" or "csw" which reflects threads descheduling themselves. It's also good to look at the user; system; and idle CPU percentages. This can give a broad but useful understanding if your threads are mostly parked or mostly running. For instance if your program makes heavy use of malloc/free, then it might be the case you're contending on the central malloc lock in the default allocator. In that case you'd see malloc calling lock in the stack traces, observe a high csw/vctx rate as threads block for the malloc lock, and your "usr" time would be less than expected. Solaris dtrace is a wonderful and invaluable performance tool as well, but in a sense you have to frame and articulate a meaningful and specific question to get a useful answer, so I tend not to use it for first-order screening of problems. It's also most effective for OS and software-level performance issues as opposed to HW-level issues. For that reason I recommend mpstat & pstack as my the 1st step in performance triage. If some other OS-level issue is evident then it's good to switch to dtrace to drill more deeply into the problem. Only after I've ruled out OS-level issues do I switch to using hardware performance counters to look for architectural impediments.

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  • Do we have enough time to build an electric car future?

    - by julien.groues
    A recent article from Greenbang has posed the question 'Do we have enough time to build an electric car future?'. The writer discusses that, although the future of transport might lie with electric cars, there is concern regarding whether we'll be able to build the market and infrastructure required to support them, before carbon and oil constraints create difficulties in powering the vehicles. Of course, the increasing use of Electric vehicles (EVs) is going to put excessive pressure on energy grids, as large volumes of electricity will need to be directed to charging points, which in turn must handle fluctuating demand at peak times. EVs are increasing in popularity as a sustainable method of transport to reduce carbon consumption, and electric utilities will have the opportunity, and the challenge, to quickly determine the best methods to fuel these vehicles and accommodate the associated increases in demand for energy. Critically, efficient software is required to provide diagnostic and predictive capabilities related to EV refuelling - for example, anticipated electricity flow will need to be addressed as the number of EVs on the road increases, and electricity will need to be directed to specific areas on-demand as vehicles attempt to recharge en-mass. But a smart grid infrastructure can meet these demands, intelligently. The implementation of a smart grid is not in the distant future, it is an achievable reality for utilities via simple installation of new software and technologies, which can be done incrementally for those facing existing legacy systems or concerned with upfront costs. The smart grid is integral to the monitoring and control of energy use as well as the future-proofing of the energy grid. A smart grid will be critical to meeting the electricity requirements of new EVs and will ensure their successful deployment by providing a reliable foundation for the data handling required to record and manage electricity distribution - from recording and assessing energy usage, to analysing data and sharing information with consumers via green billing. http://www.greenbang.com/do-we-have-enough-time-to-build-an-electric-car-future_14248.html

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  • New qeep app for Java ME feature phones: meet qeepy people

    - by hinkmond
    Is it "qeepy" if you meet people by using your cell phone instead of, you know, talking to them? Nah. Not if it's a Java ME cell phone! See: Use Qeep to Meet Peeps Here's a quote: Qeep is a free app, and compatible with over 1,000 Java-enabled feature phones... ... Qeep is one of the world's largest mobile gaming and social discovery platforms. Members of the mobile community can play live multiplayer games; blog photos; send sound attacks, text messages and virtual gifts; and meet new friends worldwide. So, go on. Go, use Qeep on your Java ME feature phone to play multiplayer games, blog photos, and meet new friends worldwide. No one will think that you're weird... Not much, at least. Hinkmond

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  • Getting Started Plugging into the "Find in Projects" Dialog

    - by Geertjan
    In case you missed it amidst all the code in yesterday's blog entry, the "Find in Projects" dialog is now pluggable. I think that's really cool. The code yesterday gives you a complete example, but let's break it down a bit and deconstruct down to a very simple hello world scenario. We'll end up with as many extra tabs in the "Find in Projects" dialog as we need, for example, three in this case:  And clicking on any of those extra tabs will, in this simple example, simply show us this: Once we have that, we'll be able to continue adding small bits of code over the next few blog entries until we have something more useful. So, in this blog entry, you'll literally be able to display "Hello World" within a new tab in the "Find in Projects" dialog: import javax.swing.JComponent; import javax.swing.JLabel; import org.netbeans.spi.search.provider.SearchComposition; import org.netbeans.spi.search.provider.SearchProvider; import org.netbeans.spi.search.provider.SearchProvider.Presenter; import org.openide.NotificationLineSupport; import org.openide.util.lookup.ServiceProvider; @ServiceProvider(service = SearchProvider.class) public class ExampleSearchProvider1 extends SearchProvider { @Override public Presenter createPresenter(boolean replaceMode) { return new ExampleSearchPresenter(this); } @Override public boolean isReplaceSupported() { return false; } @Override public boolean isEnabled() { return true; } @Override public String getTitle() { return "Demo Extension 1"; } public class ExampleSearchPresenter extends SearchProvider.Presenter { private ExampleSearchPresenter(ExampleSearchProvider1 sp) { super(sp, true); } @Override public JComponent getForm() { return new JLabel("Hello World"); } @Override public SearchComposition composeSearch() { return null; } @Override public boolean isUsable(NotificationLineSupport nls) { return true; } } } That's it, not much code, works fine in NetBeans IDE 7.2 Beta, and is easier to digest than the big chunk from yesterday. If you make three classes like the above in a NetBeans module, and you install it, you'll have three new tabs in the "Find in Projects" dialog. The only required dependencies are Dialogs API, Lookup API, and Search in Projects API. Read the javadoc linked above and then in next blog entries we'll continue to build out something like the sample you saw in yesterday's blog entry.

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