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  • Java Hint in NetBeans for Identifying JOptionPanes

    - by Geertjan
    I tend to have "JOptionPane.showMessageDialogs" scattered through my code, for debugging purposes. Now I have a way to identify all of them and remove them one by one, since some of them are there for users of the application so shouldn't be removed, via the Refactoring window: Identifying instances of code that I'm interested in is really trivial: import org.netbeans.spi.editor.hints.ErrorDescription; import org.netbeans.spi.java.hints.ConstraintVariableType; import org.netbeans.spi.java.hints.ErrorDescriptionFactory; import org.netbeans.spi.java.hints.Hint; import org.netbeans.spi.java.hints.HintContext; import org.netbeans.spi.java.hints.TriggerPattern; import org.openide.util.NbBundle.Messages; @Hint( displayName = "#DN_ShowMessageDialogChecker", description = "#DESC_ShowMessageDialogChecker", category = "general") @Messages({ "DN_ShowMessageDialogChecker=Found \"ShowMessageDialog\"", "DESC_ShowMessageDialogChecker=Checks for JOptionPane.showMes" }) public class ShowMessageDialogChecker { @TriggerPattern(value = "$1.showMessageDialog", constraints = @ConstraintVariableType(variable = "$1", type = "javax.swing.JOptionPane")) @Messages("ERR_ShowMessageDialogChecker=Are you sure you need this statement?") public static ErrorDescription computeWarning(HintContext ctx) { return ErrorDescriptionFactory.forName( ctx, ctx.getPath(), Bundle.ERR_ShowMessageDialogChecker()); } } Stick the above class, which seriously isn't much code at all, in a module and run it, with this result: Bit trickier to do the fix, i.e., add a bit of code to let the user remove the statement, but I looked in the NetBeans sources and used the System.out fix, which does the same thing:  import com.sun.source.tree.BlockTree; import com.sun.source.tree.StatementTree; import com.sun.source.util.TreePath; import java.util.ArrayList; import java.util.Iterator; import java.util.List; import org.netbeans.api.java.source.CompilationInfo; import org.netbeans.api.java.source.WorkingCopy; import org.netbeans.spi.editor.hints.ErrorDescription; import org.netbeans.spi.editor.hints.Fix; import org.netbeans.spi.java.hints.ConstraintVariableType; import org.netbeans.spi.java.hints.ErrorDescriptionFactory; import org.netbeans.spi.java.hints.Hint; import org.netbeans.spi.java.hints.HintContext; import org.netbeans.spi.java.hints.JavaFix; import org.netbeans.spi.java.hints.TriggerPattern; import org.openide.util.NbBundle.Messages; @Hint( displayName = "#DN_ShowMessageDialogChecker", description = "#DESC_ShowMessageDialogChecker", category = "general") @Messages({ "DN_ShowMessageDialogChecker=Found \"ShowMessageDialog\"", "DESC_ShowMessageDialogChecker=Checks for JOptionPane.showMes" }) public class ShowMessageDialogChecker { @TriggerPattern(value = "$1.showMessageDialog", constraints = @ConstraintVariableType(variable = "$1", type = "javax.swing.JOptionPane")) @Messages("ERR_ShowMessageDialogChecker=Are you sure you need this statement?") public static ErrorDescription computeWarning(HintContext ctx) { Fix fix = new FixImpl(ctx.getInfo(), ctx.getPath()).toEditorFix(); return ErrorDescriptionFactory.forName( ctx, ctx.getPath(), Bundle.ERR_ShowMessageDialogChecker(), fix); } private static final class FixImpl extends JavaFix { public FixImpl(CompilationInfo info, TreePath tp) { super(info, tp); } @Override @Messages("FIX_ShowMessageDialogChecker=Remove the statement") protected String getText() { return Bundle.FIX_ShowMessageDialogChecker(); } @Override protected void performRewrite(TransformationContext tc) throws Exception { WorkingCopy wc = tc.getWorkingCopy(); TreePath statementPath = tc.getPath(); TreePath blockPath = tc.getPath().getParentPath(); while (!(blockPath.getLeaf() instanceof BlockTree)) { statementPath = blockPath; blockPath = blockPath.getParentPath(); if (blockPath == null) { return; } } BlockTree blockTree = (BlockTree) blockPath.getLeaf(); List<? extends StatementTree> statements = blockTree.getStatements(); List<StatementTree> newStatements = new ArrayList<StatementTree>(); for (Iterator<? extends StatementTree> it = statements.iterator(); it.hasNext();) { StatementTree statement = it.next(); if (statement != statementPath.getLeaf()) { newStatements.add(statement); } } BlockTree newBlockTree = wc.getTreeMaker().Block(newStatements, blockTree.isStatic()); wc.rewrite(blockTree, newBlockTree); } } } Aside from now being able to use "Inspect & Refactor" to identify and fix all instances of JOptionPane.showMessageDialog at the same time, you can also do the fixes per instance within the editor:

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  • Ops Center zip documentation

    - by Owen Allen
    If you're operating in a dark site, or are otherwise without easy access to the internet, it can be tricky to get access to the docs. The readme comes along with the product, but that's not exactly the same as the whole doc library. Well, we've put a zip file with the whole doc library contents up on the main doc page. So, if you are in a site without internet access, you can get the zip, extract it, and have a portable version of the site, including the pdf and html versions of all of the docs.

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  • Java EE 6 Pocket Guide from O'Reilly - Now Available in Paperback and Kindle Edition

    - by arungupta
    Hot off the press ... Java EE 6 Pocket Guide from 'OReilly Media is now available in Paperback and Kindle Edition. Here are the book details: Release Date: Sep 21, 2012 Language: English Pages: 208 Print ISBN: 978-1-4493-3668-4 | ISBN 10:1-4493-3668-X Ebook ISBN:978-1-4493-3667-7 | ISBN 10:1-4493-3667-1 The book provides a comprehensive summary of the Java EE 6 platform. Main features of different technologies from the platform are explained and accompanied by tons of samples. A chapter is dedicated to Managed Beans, Servlets, Java Persistence API, Enterprise JavaBeans, Contexts and Dependency Injection, JavaServer Faces, SOAP-Based Web Services, RESTful Web Services, Java Message Service, and Bean Validation in that format. Many thanks to Markus Eisele, John Yeary, and Bert Ertman for reviewing and providing valuable comments. This book was not possible without their extensive feedback! This book was mostly written by compiling my blogs, material from 2-day workshops, and several hands-on workshops around the world. The interactions with users of different technologies and whiteboard discussions with different specification leads helped me understand the technology better. Many thanks to them for helping me be a better user! The long international flights during my travel around the world proved extremely useful for authoring the content. No phone, no email, no IM, food served on the table, power outlet = a perfect recipe for authoring ;-) Markus wrote a detailed review of the book. He was one of the manuscript reviewers of the book as well and provided valuable guidance. Some excerpts from his blog: It covers the basics you need to know of Java EE 6 and gives good examples of all relevant parts. ... This is a pocket guide which is comprehensively written. I could follow all examples and it was a good read overall. No complicated constructs and clear writing. ... GO GET IT! It is the only book you probably will need about Java EE 6! It is comprehensive, wonderfully written and covers everything you need in your daily work. It is not a complete reference but provides a great shortcut to the things you need to know. To me it is a good beginners guide and also works as a companion for advanced users. Here is the first tweet feedback ... Jeff West was super prompt to place the first pre-order of my book, pretty much the hour it was announced. Thank you Jeff! @mike_neck posted the very first tweet about the book, thanks for that! The book is now available in Paperback and Kindle Edition from the following websites: O'Reilly Media (Ebook, Print & Ebook, Print) Amazon.com (Kindle Edition and Paperback) Barnes and Noble Overstock (1% off Amazon) Buy.com Booktopia.com Tower Books Angus & Robertson Shopping.com Here is how I can use your help: Help spread the word about the book If you bought a Paperback or downloaded Kindle Edition, then post your review here. If you have not bought, then you can buy it at amazon.com and multiple other websites mentioned above. If you are coming to JavaOne, you'll have an opportunity to get a free copy at O'Reilly's booth on Monday (October 1) from 2-3pm. And you can always buy it from the JavaOne Bookstore. I hope you enjoy reading it and learn something new from it or hone your existing skills. As always, looking forward to your feedback!

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  • MySQL and Hadoop Integration - Unlocking New Insight

    - by Mat Keep
    “Big Data” offers the potential for organizations to revolutionize their operations. With the volume of business data doubling every 1.2 years, analysts and business users are discovering very real benefits when integrating and analyzing data from multiple sources, enabling deeper insight into their customers, partners, and business processes. As the world’s most popular open source database, and the most deployed database in the web and cloud, MySQL is a key component of many big data platforms, with Hadoop vendors estimating 80% of deployments are integrated with MySQL. The new Guide to MySQL and Hadoop presents the tools enabling integration between the two data platforms, supporting the data lifecycle from acquisition and organisation to analysis and visualisation / decision, as shown in the figure below The Guide details each of these stages and the technologies supporting them: Acquire: Through new NoSQL APIs, MySQL is able to ingest high volume, high velocity data, without sacrificing ACID guarantees, thereby ensuring data quality. Real-time analytics can also be run against newly acquired data, enabling immediate business insight, before data is loaded into Hadoop. In addition, sensitive data can be pre-processed, for example healthcare or financial services records can be anonymized, before transfer to Hadoop. Organize: Data is transferred from MySQL tables to Hadoop using Apache Sqoop. With the MySQL Binlog (Binary Log) API, users can also invoke real-time change data capture processes to stream updates to HDFS. Analyze: Multi-structured data ingested from multiple sources is consolidated and processed within the Hadoop platform. Decide: The results of the analysis are loaded back to MySQL via Apache Sqoop where they inform real-time operational processes or provide source data for BI analytics tools. So how are companies taking advantage of this today? As an example, on-line retailers can use big data from their web properties to better understand site visitors’ activities, such as paths through the site, pages viewed, and comments posted. This knowledge can be combined with user profiles and purchasing history to gain a better understanding of customers, and the delivery of highly targeted offers. Of course, it is not just in the web that big data can make a difference. Every business activity can benefit, with other common use cases including: - Sentiment analysis; - Marketing campaign analysis; - Customer churn modeling; - Fraud detection; - Research and Development; - Risk Modeling; - And more. As the guide discusses, Big Data is promising a significant transformation of the way organizations leverage data to run their businesses. MySQL can be seamlessly integrated within a Big Data lifecycle, enabling the unification of multi-structured data into common data platforms, taking advantage of all new data sources and yielding more insight than was ever previously imaginable. Download the guide to MySQL and Hadoop integration to learn more. I'd also be interested in hearing about how you are integrating MySQL with Hadoop today, and your requirements for the future, so please use the comments on this blog to share your insights.

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  • How to get a Sun Ray to load a firmware from elsewhere

    - by vdiozguy
    I run a Sun Ray/VDI demo environment internally within the company - and because it's not a public service, I need to tell my Sun Rays to connect to it directly so that I don't get redirected to the corporate servers. To get any new Sun Ray to connect to *my* setup I usually pull out my laptop so that the Sun Ray can load the new version of the F/W along with the permission to pull up the management GUI via STOP-S.But there is a better way if you have another Sun Ray server handy:1) allow your Sun Ray to connect to the default corporate server2) log in to a "regular" session, that is a Solaris or Linux desktop on the Sun Ray server itself3) in a terminal, utswitch to your server (/opt/SUNWut/bin/utswitch -h myserver)4) again, login to a regular session there5) in a terminal,  issue "/opt/SUNWut/lib/utload -S myserver -w"6) Watch your firmware load and wait7) the Sun Ray will reboot and connect to the first server again. Repeat steps 2-48) issue "/opt/SUNWut/lib/utload -S myserver -f SunRay.enableGUI"9) Press STOP-S and be merryNOTE: I'm sure there is even yet a better way - this is totally unsupported, most likely a figment of my imagination. In any case, this post will self-destruct in BOOM.

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  • 5 Ways to Determine Mobile Location

    - by David Dorf
    In my previous post, I mentioned the importance of determining the location of a consumer using their mobile phone.  Retailers can track anonymous mobile phones to determine traffic patterns both inside and outside their stores.  And with consumers' permission, retailers can send location-aware offers to mobile phones; for example, a coupon for cereal as you walk down that aisle.  When paying with Square, your location is matched with the transaction.  So there are lots of reasons for retailers to want to know the location of their customers.  But how is it done? I thought I'd dive a little deeper on that topic and consider the approaches to determining location. 1. Tower Triangulation By comparing the relative signal strength from multiple antenna towers, a general location of a phone can be roughly determined to an accuracy of 200-1000 meters.  The more towers involved, the more accurate the location. 2. GPS Using Global Positioning Satellites is more accurate than using cell towers, but it takes longer to find the satellites, it uses more battery, and it won't well indoors.  For geo-fencing applications, like those provided by Placecast and Digby, cell towers are often used to determine if the consumer is nearing a "fence" then switches to GPS to determine the actual crossing of the fence. 3. WiFi Triangulation WiFi triangulation is usually more accurate than using towers just because there are so many more WiFi access points (i.e. radios in routers) around. The position of each WiFi AP needs to be recorded in a database and used in the calculations, which is what Skyhook has been doing since 2008.  Another advantage to this method is that works well indoors, although it usually requires additional WiFi beacons to get the accuracy down to 5-10 meters.  Companies like ZuluTime, Aisle411, and PointInside have been perfecting this approach for retailers like Meijer, Walgreens, and HomeDepot. Keep in mind that a mobile phone doesn't have to connect to the WiFi network in order for it to be located.  The WiFi radio in the phone only needs to be on.  Even when not connected, WiFi radios talk to each other to prepare for a possible connection. 4. Hybrid Approaches Naturally the most accurate approach is to combine the approaches described above.  The more available data points, the greater the accuracy.  Companies like ShopKick like to add in acoustic triangulation using the phone's microphone, and NearBuy can use video analytics to increase accuracy. 5. Magnetic Fields The latest approach, and this one is really new, takes a page from the animal kingdom.  As you've probably learned from guys like Marlin Perkins, some animals use the Earth's magnetic fields to navigate.  By recording magnetic variations within a store, then matching those readings with ones from a consumer's phone, location can be accurately determined.  At least that's the approach IndoorAtlas is taking, and the science seems to bear out.  It works well indoors, and doesn't require retailers to purchase any additional hardware.  Keep an eye on this one.

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  • Digital Agenda in the EU means open standards after all

    - by trond-arne.undheim
    European Commission Vice President Neelie Kroes speech on Openness at the heart of the EU Digital Agenda at Open Forum Europe 2010 Summit in Brussels refocuses the EU Digital Agenda on open standards. I say the speech scores a 90/100, smooth, smart, a little vicious at the fringes, maybe? Anyway, it shows the strategy might age and implement well. This is Dutch pragmatism at its best. The EU Digital Agenda (I give it an 85/100 score), while laudable, stops short of using the term. The next step for the European Commission is defining the term open standards. If they do that, and do it right, Vice President Kroes will go into history as having made a significant contribution towards global progress in e-government by possibly eradicating lock-in forever. Moreover, she will put Europe's SMEs in a better position to succeed in a global IT market filled with barriers to entry from players not fully understanding, using, or unpacking standards. Kroes' interesting suggestion that she will now explore a "legal proposal" on interoperability that will have an impact on all IT companies operating in the European market is more up for debate. An interoperability directive? One run by DG COMP or one run by DG INFSO, telecom style? Would something like that work? Would the industry like it? Would it help European governments? Possibly, if done right. The good thing was, Kroes pointed out that she will look for input from the industry. Kroes' track record is one of not being scared of taking on the Titans. She also wants to enact real, positive, lasting change. "I will not go anywhere", she said. All of that is good. And she does understand the importance of open standards. Let's now start discussing the details. Implementing the Digital Agenda is not simple. It requires collaboration across the various Directorates in the European Commission. Mounting a new Interoperability directive is also never attempted before. Getting it right is important. Even possibly finding out it cannot be done right and choosing a more light weight approach that is equally effective would be bold. Go Kroes!

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  • Patrick Curran Session-Keynote at DOAG 2012

    - by Heather VanCura
    Patrick Curran, Chair of the  Java Community Process (JCP) and Director of the JCP Program Management Office, will be speaking this week at the DOAG 2012 event in Nuremberg Germany. Keynote Java: Restructuring the Java Community ProcessNovember, 22nd | 09:00-09:45 am The Java Community Process (JCP) plays a critical role in the evolution of Java.  This keynote will explain how the JCP is organized and how interested members of the Java community - commercial organizations, non-profits, Java user-groups, and individual developers - work together to advance the Java language and platforms. It will then discuss recent and upcoming changes to the JCP's structure and operating processes, and will explain how these changes ('JCP.next') will make the organization more efficient and will ensure that its work is carried out in a more open and more transparent manner.

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  • Tip #13 java.io.File Surprises

    - by ByronNevins
    There is an assumption that I've seen in code many times that is totally wrong.  And this assumption can easily bite you.  The assumption is: File.getAbsolutePath and getAbsoluteFile return paths that are not relative.  Not true!  Sort of.  At least not in the way many people would assume.  All they do is make sure that the beginning of the path is absolute.  The rest of the path can be loaded with relative path elements.  What do you think the following code will print? public class Main {    public static void main(String[] args) {        try {            File f = new File("/temp/../temp/../temp/../");            File abs  = f.getAbsoluteFile();            File parent = abs.getParentFile();            System.out.println("Exists: " + f.exists());            System.out.println("Absolute Path: " + abs);            System.out.println("FileName: " + abs.getName());            System.out.printf("The Parent Directory of %s is %s\n", abs, parent);            System.out.printf("The CANONICAL Parent Directory of CANONICAL %s is %s\n",                        abs, abs.getCanonicalFile().getParent());            System.out.printf("The CANONICAL Parent Directory of ABSOLUTE %s is %s\n",                        abs, parent.getCanonicalFile());            System.out.println("Canonical Path: " + f.getCanonicalPath());        }        catch (IOException ex) {            System.out.println("Got an exception: " + ex);        }    }} Output: Exists: trueAbsolute Path: D:\temp\..\temp\..\temp\..FileName: ..The Parent Directory of D:\temp\..\temp\..\temp\.. is D:\temp\..\temp\..\tempThe CANONICAL Parent Directory of CANONICAL D:\temp\..\temp\..\temp\.. is nullThe CANONICAL Parent Directory of ABSOLUTE D:\temp\..\temp\..\temp\.. is D:\tempCanonical Path: D:\ Notice how it says that the parent of d:\ is d:\temp !!!The file, f, is really the root directory.  The parent is supposed to be null. I learned about this the hard way! getParentXXX simply hacks off the final item in the path. You can get totally unexpected results like the above. Easily. I filed a bug on this behavior a few years ago[1].   Recommendations: (1) Use getCanonical instead of getAbsolute.  There is a 1:1 mapping of files and canonical filenames.  I.e each file has one and only one canonical filename and it will definitely not have relative path elements in it.  There are an infinite number of absolute paths for each file. (2) To get the parent file for File f do the following instead of getParentFile: File parent = new File(f, ".."); [1] http://bt2ws.central.sun.com/CrPrint?id=6687287

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  • Going Inside the Store

    - by David Dorf
    Location was the first "killer-tech" for smartphones, and innovators have found several ways to use it. For retail, apps exist to find nearby stores, provide coupons, and give directions to the front door. But once you enter the store, location-finding ceases to work. That's because your location is usually found by finding GPS satellites in they sky, and the store's roof blocks the signal. But it won't take technology long to solve that problem. The first problem to solve is a lack of indoor maps. Navteq and others provide very accurate maps of the outdoors, enabling navigation for cars and pedestrians. Micello is building a business creating digital maps of indoor locations like malls, convention centers, office buildings. They have over 500 live maps, including maps of IKEA stores. They claim it took them only four hours to create a map of the Stanford Shopping Center in Palo Alto with its 1.4 million square feet and 140 retail stores. And within stores, retailers are producing more accurate plan-o-grams. I'm always impressed watching demos of our space planning from AVT. It uses CAD software to allow you to walk the virtual store and see products on the shelves. The second problem is being able to determine location inside the store so it can be overlayed on the map. There are several goals for this endeavor. Your smartphone might direct you straight to particular products, it might summon a sales associate to your location for immediate assistance, and it might send you coupons based on the aisle you're viewing. Companies like Nearbuy, ZuluTime, and Skyhook are working to master indoor location using a combination of GPS signals, WiFi, and cell tower positioning to calculate a location. (Skyhook calls this WPS, as depicted in the chart.) Today they can usually hit 10 meters accuracy, but that number is improving all the time. When it gets inside 3 meters some the goals mentioned earlier will be in easy reach. I for one can't wait until the time my iPhone leads me directly to the sprinkler heads in Lowes and Home Depot.

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  • BigData and Customer Experience: Happy Together

    - by Isabel F. Peñuelas
    The two big buzzes of the year may lay closer than it appears. Both concepts intersect at various points: BigData and Return of Investment of Marketing Campaigns On a recent post Big Data Is The Future Of Marketing Jeff Dachis explains very clearly how “Big data analytics finally allows marketers to identify, measure, and manage what is positively impacting their Brand”. Regression analysis applied to big data volumes coming from social media will substitute the failed attempts to justify marketing investments on social media in terms of followers and likes, he continues, “the measurement models applied by marketers on TV Campaigns don´t work on social”, we need to study the data with fresh eyes and maybe then we will start understanding and measuring brand engagemet. Social CRM and BigData The real value of Social CRM start by analyzing mass of big data from social media in order of applying social intelligence techniques that allow us to classify new customer niches and communities and define appropriated strategies to contact potential customers. Gartner Says that the Market for Social CRM is on pace to surpass $1 Billion in Revenue by Year-End 2012 but in words of Zach Hofer-Shall, Analyst at Forrester Research “Social customer relationship management is hard” (The Social CRM Arms Race Heats ). To succeed brands need three things: Investing in new social tools, investing in consultancy and investing in infrastructure for massive data storage and analysis. Neither CeX or BigData are easy and cheap wins. But what are the customer benefits of such investments? Big Data and Brand Engagement Time is the most valuable asset of todays consumers: tired of information overload, exhausted by the terabytes of offering, anxious because of not having the same fast multichannel experience with their services’ marketers or preferred goods providers than the one they found on their social media. Yes, I know you have read this before- me too. But is real. The motto of the Customer Experience philosophy of providing a consistent experience through multiple touchpoints that makes the relationship customer/brand easier and valuable finds it basis on understanding customer/s preferences and context for which BigData analysis is another imperative. In summary, I believe that using BigData Analysis in combination with appropriated CeX strategies and technologies is a promising direction for achieving: efficiency and marketing cost-savings; growing the customer base; and increasing customer conversion and retention. In a world: The Direction of Future Marketing.

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  • Do your filesystems have un-owned files ?

    - by darrenm
    As part of our work for integrated compliance reporting in Solaris we plan to provide a check for determining if the system has "un-owned files", ie those which are owned by a uid that does not exist in our configured nameservice.  Tests such as this already exist in the Solaris CIS Benchmark (9.24 Find Un-owned Files and Directories) and other security benchmarks. The obvious method of doing this would be using find(1) with the -nouser flag.  However that requires we bring into memory the metadata for every single file and directory in every local file system we have mounted.  That is probaby not an acceptable thing to do on a production system that has a large amount of storage and it is potentially going to take a long time. Just as I went to bed last night an idea for a much faster way of listing file systems that have un-owned files came to me. I've now implemented it and I'm happy to report it works very well and peforms many orders of magnatude better than using find(1) ever will.   ZFS (since pool version 15) has per user space accounting and quotas.  We can report very quickly and without actually reading any files at all how much space any given user id is using on a ZFS filesystem.  Using that information we can implement a check to very quickly list which filesystems contain un-owned files. First a few caveats because the output data won't be exactly the same as what you get with find but it answers the same basic question.  This only works for ZFS and it will only tell you which filesystems have files owned by unknown users not the actual files.  If you really want to know what the files are (ie to give them an owner) you still have to run find(1).  However it has the huge advantage that it doesn't use find(1) so it won't be dragging the metadata for every single file and directory on the system into memory. It also has the advantage that it can check filesystems that are not mounted currently (which find(1) can't do). It ran in about 4 seconds on a system with 300 ZFS datasets from 2 pools totalling about 3.2T of allocated space, and that includes the uid lookups and output. #!/bin/sh for fs in $(zfs list -H -o name -t filesystem -r rpool) ; do unknowns="" for uid in $(zfs userspace -Hipn -o name,used $fs | cut -f1); do if [ -z "$(getent passwd $uid)" ]; then unknowns="$unknowns$uid " fi done if [ ! -z "$unknowns" ]; then mountpoint=$(zfs list -H -o mountpoint $fs) mounted=$(zfs list -H -o mounted $fs) echo "ZFS File system $fs mounted ($mounted) on $mountpoint \c" echo "has files owned by unknown user ids: $unknowns"; fi done Sample output: ZFS File system rpool/ROOT/solaris-30/var mounted (no) on /var has files owned by unknown user ids: 6435 33667 101 ZFS File system rpool/ROOT/solaris-32/var mounted (yes) on /var has files owned by unknown user ids: 6435 33667ZFS File system builds/bob mounted (yes) on /builds/bob has files owned by unknown user ids: 101 Note that the above might not actually appear exactly like that in any future Solaris product or feature, it is provided just as an example of what you can do with ZFS user space accounting to answer questions like the above.

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  • US GAAP and IFRS Convergence May Be Delayed Even More

    - by Theresa Hickman
    Yesterday, on March 10, the Financial Accounting Standards Board (FASB) met to discuss the changes in financial statement presentation. Over the last six months, the FASB and IASB have been working feverishly to converge US GAAP and IFRS standards to meet the 2011 deadline. In March alone, the standards-setters met eight times. Many people fear that this accelerated pace is compromising the quality of the end product and that maybe they should slow down and do their due diligence. According to WG&L Accounting & Compliance Alert Checkpoint 3/10/2010, (which requires a subscription to view the full article) "Some statement preparers and investors who advise the FASB believe that the process would be better served if it was slowed down so that more attention could be paid to quality." "Should 2011 be looked at as a line in the sand?" asked Joan Amble, executive vice president and corporate comptroller for American Express Co. "We don't think that due process should be compromised for the due date," concurred Lewis Dulitz, vice president of accounting policies and research for medical products supplier Covidien plc. I personally have mixed emotions about this. On one hand, I have been growing impatient with how slow the US has jumped on the IFRS band wagon. On the other hand, being the conservative that I am and knowing this convergence will be costly and disruptive to businesses, I would prefer to be safe than sorry and get it right the first time.

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  • JSF 2.2 recent progress - Early Draft

    - by alexismp
    JSF specification lead Ed Burns has an update on the progress of JSF 2.2, another component which should be required as part of the upcoming Java EE 7 standard. This includes a reminder of the scope of this specification, the availability of the early draft and height specific features that are being worked on and split into "Mostly Specified Features" and "Not Yet Fully Specified Features" (I think you can read the latter as "at risk"). My favorite is "763-EverythingIsInjectable". Remember that JSF 2.2 is due out in the middle of 2012 which is in time to be integrated in the Java EE 7 platform JSR (currently scheduled for second half of 2012). In the mean time, JSF 2.2 nightly builds are available.

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  • Keeping up with New Releases

    - by Jeremy Smyth
    You can keep up with the latest developments in MySQL software in a number of ways, including various blogs and other channels. However, for the most correct (if somewhat dry and factual) information, you can go directly to the source.  Major Releases  For every major release, the MySQL docs team creates and maintains a "nutshell" page containing the significant changes in that release. For the current GA release (whatever that is) you'll find it at this location: https://dev.mysql.com/doc/mysql/en/mysql-nutshell.html  At the moment, this redirects to the summary notes for MySQL 5.6. The notes for MySQL 5.7 are also available at that website, at the URL http://dev.mysql.com/doc/refman/5.7/en/mysql-nutshell.html, and when eventually that version goes GA, it will become the currently linked notes from the URL shown above. Incremental Releases  For more detail on each incremental release, you can have a look at the release notes for each revision. For MySQL 5.6, the release notes are stored at the following location: http://dev.mysql.com/doc/relnotes/mysql/5.6/en/ At the time I write this, the topmost entry is a link for MySQL 5.6.15. Each linked page shows the changes in that particular version, so if you are currently running 5.6.11 and are interested in what bugs were fixed in versions since then, you can look at each subsequent release and see all changes in glorious detail. One really clever thing you can do with that site is do an advanced Google search to find exactly when a feature was released, and find out its release notes. By using the preceding link in a "site:" directive in Google, you can search only within those pages for an entry. For example, the following Google search shows pages within the release notes that reference the --slow-start-timeout option:     site:http://dev.mysql.com/doc/relnotes/mysql/ "--slow-start-timeout" By running that search, you can see that the option was added in MySQL 5.6.5 and also rolled into MySQL 5.5.20.   White Papers Also, with each major release you can usually find a white paper describing what's new in that release. In MySQL 5.6 there was a "What's new" whitepaper at this location: http://www.mysql.com/why-mysql/white-papers/whats-new-mysql-5-6/ You'll find other white papers at: http://www.mysql.com/why-mysql/white-papers/ Search the page for "5.6" to see any papers dealing specificallly with that version.

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  • Duke's Choice Awards 2012 Nominations Closing This Friday

    - by arungupta
    As mentioned earlier, 2012 Duke's Choice Award are open for nominations. These awards recognize and celebrate innovation in the Java platform. The nominations are closing this Friday! All nominations considered, even past winners with significant enhancements. This year, in addition to the free JavaOne pass and award ceremony participation, winners will be featured in the September/October issue of the Java Magazine and provided with the new winner web graphic as well. Submit your nomination at java.net/dukeschoice.

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  • Preventing Users From Accessing wp-admin

    - by Gary Pendergast
    If you have a WordPress site that you allow people to sign up for, you often don’t want them to be able to access wp-admin. It’s not that there are any security issues, you just want to ensure that your users are accessing your site in a predictable manner.To block non-admin users from getting into wp-admin, you just need to add the following code to your functions.php, or somewhere similar:add_action( 'init', 'blockusers_init' );   function blockusers_init() { if ( is_admin() && ! current_user_can( 'administrator' ) ) { wp_redirect( home_url() ); exit; } }Ta-da! Now, only administrator users can access wp-admin, everyone else will be re-directed to the homepage.

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  • Top 10 Reasons to Use MySQL and MySQL Cluster as an Embedded Database

    - by Rob Young
    If you are considering using MySQL and/or MySQL Cluster as the embedded database solution for your application, you should join us for today's webcast where we will discuss how you can cut costs, add flexibility and benefit from new performance and scalability enhancements that are now available in MySQL 5.6 and MySQL Cluster 7.2.  We will cover the top 10 reasons that make MySQL and MySQL Cluster the best solutions for embedding in both shrink wrapped and SaaS provided applications, how industry leaders leverage MySQL products and how you can get started with the latest innovations and support offerings across the MySQL product line. You can learn more and reserve your seat here. As always, thanks for your support of MySQL!

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  • API's

    - by raghu.yadav
    lets dump API's here .... // if you want to put/get something in/from the pageFlowScope, use thisMap pfsMap = AdfFacesContext.getCurrentInstance().getPageFlowScope(); pfsMap.put(key, value); // pfsMap.put("#{pageFlowScope.param}, "sample"); pfsMap.get(key); // pfsMap.get("#{pageFlowScope.param} // if you want to set bean's property value, use this MyBackingBean bean = (MyBackingBean)pfsMap.get("my_backing_bean_name"); // the name under which the bean is registered in the task flow bean.setMyParam(newValue);

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  • Great Example of Community How-To Doc

    - by ultan o'broin
    Always on the lookout for examples of community doc, and here's a great one: Chet Justice (@oraclenerd) just launched an eBook version (PDF actually) of John Piwowar's (@jpiwowar) very popular multi-part E-Business Suite Installation Guide. You can obtain it using the PayPal buttons here. All in a good cause too. Creation of how-to information like this for functional or technical tasks, along with working examples about post-install steps, configurations and customizations, is what an applications community value-add is all about. Each community is different of course, an Adobe PhotoShop community might be more interested in templates. Great to see the needs of the community being met like this. If you have other examples you'd like to share, then find the comments.

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  • SOA Suite 11g Dynamic Payload Testing with soapUI Free Edition

    - by Greg Mally
    Overview Many web service developers use soapUI for various tests like: smoke test, unit test, and load testing because you can get a free edition that is fairly robust. However, if you need to venture into more complex testing that requires a dynamic payload, then the free edition doesn't necessarily make it easy. This feature does exist in soapUI, but for obvious reasons it is in the Pro version. In this blog I will show you how to use soapUI free edition for dynamic payloads in a simplified example. Hopefully this will open the doors for you to expand into more complex scenarios. The following assumes that you have a working knowledge of soapUI and will not go into concepts like setting up a project etc. For the basics, please review the documentation for soapUI: http://www.soapui.org/Getting-Started/. Additionally, we will be using asynchronous web services and you can review the setup for this in my blog: SOA Suite 11g Asynchronous Testing with soapUI. Features in soapUI Free Edition Relating to this Topic The soapUI test tool provides a very feature rich environment that can do many things provided you are willing to go beyond point and click. For this example, we will be leveraging just a couple features for our dynamic payload example: Test Case Properties Scripting with Groovy Basically, we will be using a property as a global variable and we will manipulate that property using a Groovy script. Setting Up Our Property Properties are available throughout soapUI and here is a snippet from the soapUI website defining the locations: Projects : for handling Project scope values, for example a subscription ID TestSuite : for handling TestSuite scoped values, can be seen as "arguments" to a TestSuite TestCases : for handling TestCase scoped values, can be seen as "arguments" to a TestCase Properties TestStep : for providing local values/state within a TestCase Local TestStep properties : several TestStep types maintain their own list of properties specific to their functionality : DataSource, DataSink, Run TestCase MockServices : for handling MockService scoped values/arguments MockResponses : for handling MockResponse scoped values Global Properties : for handling Global properties, optionally from an external source For our example, we will be defining a custom property in a TestCase called SimpleAsyncPayload. The property can be created in either the Custom Properties tab located at the bottom of the Navigator panel when the TestCase is selected in the Navigator or the Properties label in the TestCase editor: Navigator Panel TestCase Editor You will notice that I set a value of “0” for the custom property. For this simplified example, we will need to retrieve that value and manipulate it prior to making the web service request invocation. In order to accomplish this, we will need to get Groovy ;) Let's Get Groovy We will now add a new Groovy Script step to the TestCase called Manipulate Payload: TestCase Editor > Append Step > Groovy Script Once we have added the Groovy Script step to our TestCase, we can open the Groovy Script editor to add the code to: Get the current value of the property we created called SimpleAsyncPayload. Convert the value of the property to an integer. Increment the value. Store the incremented value back into the TestCase property called SimpleAsyncPayload. The script should look something like the following: Groovy Script Editor – Manipulate Payload At this point we can test the script to see if it is working by simply running the TestCase (left-click on the green triangle in the upper left-hand corner of the TestCase editor). To verify if it ran correctly, we can look at the value of the SimpleAsyncPayload property which should now be 1: TestCase Editor – Run Results All that is left to complete the TestCase is to append another step of type Test Request. The information required to append the request is a name and an operation to invoke. In this example we will use the default name and select the SimpleAsyncBPELProcessBingd -> process as the operation (any other information being requested, simply use the defaults unless you are calling an asynchronous operation then do not add any assertions). We are now in familiar ground with the Test Request editor. Depending upon the type of operation you are invoking (synchronous or asynchronous), please update the request with the necessary information (e.g., callback information for asynchronous operations). We will now tweak the Test Request payload to retrieve the value of the SimpleAsyncPayload property. The soapUI editor makes this very simple: right-click in the payload and navigate to the property (e.g., right-click > Get Data.. > TestCase: [Groovy TestCase] > Property [SimpleAsyncPayload]): Test Request Editor – Insert Property Value Your payload should now look something like the following: Test Request Editor – Inserted Property Value Just like before, we are now ready to run the TestCase. If everything goes as expected we should see a response like the following: Message Viewer – Results of TestCase Run We are now setup to be able to run a stress test where the payload will change for each request. This simple example can be expanded to include multiple payload values, complex calculations in the scripts, or whatever can be done via the soapUI scripting. Hopefully you have found this useful and happy testing to you :)

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  • Twitte API for Java - Hello Twitter Servlet (TOTD #178)

    - by arungupta
    There are a few Twitter APIs for Java that allow you to integrate Twitter functionality in a Java application. This is yet another API, built using JAX-RS and Jersey stack. I started this effort earlier this year and kept delaying to share because wanted to provide a more comprehensive API. But I've delayed enough and releasing it as a work-in-progress. I'm happy to take contributions in order to evolve this API and make it complete, useful, and robust. Drop a comment on the blog if you are interested or ping me at @arungupta. How do you get started ? Just add the following to your "pom.xml": <dependency> <groupId>org.glassfish.samples</groupId> <artifactId>twitter-api</artifactId> <version>1.0-SNAPSHOT</version></dependency> The implementation of this API uses Jersey OAuth Filters for authentication with Twitter and so the following dependencies are required if any API that requires authentication, which is pretty much all the APIs ;-) <dependency> <groupId>com.sun.jersey.contribs.jersey-oauth</groupId>     <artifactId>oauth-client</artifactId>     <version>${jersey.version}</version> </dependency> <dependency>     <groupId>com.sun.jersey.contribs.jersey-oauth</groupId>     <artifactId>oauth-signature</artifactId>     <version>${jersey.version}</version> </dependency> Once the dependencies are added to your project, inject Twitter  API in your Servlet (or any other Java EE component) as: @Inject Twitter twitter; Here is a simple non-secure invocation of the API to get you started: SearchResults result = twitter.search("glassfish", SearchResults.class);for (SearchResultsTweet t : result.getResults()) { out.println(t.getText() + "<br/>");} This code returns the tweets that matches the query "glassfish". The source code for the complete project can be downloaded here. Download it, unzip, and mvn package will build the .war file. And then deploy it on GlassFish or any other Java EE 6 compliant application server! The source code for the API also acts as the javadocs and can be checked out from here. A more detailed sample using security and several other API from this library is coming soon!

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  • First JSRs Proposed for Java EE 7

    - by Jacob Lehrbaum
    With the approval of Java SE 7 and Java SE 8 JSRs last month, attention is now shifting towards the Java EE platform.  While functionality pegged for Java EE 7 was previewed at least as early as Devoxx, the filing of these JSRs marks the first, officially proposed, specifications for the next generation of the popular application server standard.  Let's take a quick look at the proposed new functionality.Java Persistence API 2.1The first of the new proposed specifications is JSR 338: Java Persistence API (JPA) 2.1. JPA is designed for use with both Java EE and Java SE and: "deals with the way relational data is mapped to Java objects ("persistent entities"), the way that these objects are stored in a relational database so that they can be accessed at a later time, and the continued existence of an entity's state even after the application that uses it ends. In addition to simplifying the entity persistence model, the Java Persistence API standardizes object-relational mapping." (more about JPA)JAX-RS 2.0The second of the new Java specifications that have been proposed is JSR 339, otherwise known as JAX-RS 2.0. JAX-RS provides an API that enables the easy creation of web services using the Representational State Transfer (REST) architecture.  Key features proposed in the new JSR include a Client API, improved support for URIs, a Model-View-Controller architecture and much more!More informationOfficial proposal for Java Persistence 2.1 (jcp.org)Official proposal for JAX-RS 2.0 (jcp.org)Kicking off Java EE 7 with 2 JSRs: JAX-RS 2.0 / JPA 2.1 (the Aquarium)

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  • Performance Enhancement in Full-Text Search Query

    - by Calvin Sun
    Ever since its first release, we are continuing consolidating and developing InnoDB Full-Text Search feature. There is one recent improvement that worth blogging about. It is an effort with MySQL Optimizer team that simplifies some common queries’ Query Plans and dramatically shorted the query time. I will describe the issue, our solution and the end result by some performance numbers to demonstrate our efforts in continuing enhancement the Full-Text Search capability. The Issue: As we had discussed in previous Blogs, InnoDB implements Full-Text index as reversed auxiliary tables. The query once parsed will be reinterpreted into several queries into related auxiliary tables and then results are merged and consolidated to come up with the final result. So at the end of the query, we’ll have all matching records on hand, sorted by their ranking or by their Doc IDs. Unfortunately, MySQL’s optimizer and query processing had been initially designed for MyISAM Full-Text index, and sometimes did not fully utilize the complete result package from InnoDB. Here are a couple examples: Case 1: Query result ordered by Rank with only top N results: mysql> SELECT FTS_DOC_ID, MATCH (title, body) AGAINST ('database') AS SCORE FROM articles ORDER BY score DESC LIMIT 1; In this query, user tries to retrieve a single record with highest ranking. It should have a quick answer once we have all the matching documents on hand, especially if there are ranked. However, before this change, MySQL would almost retrieve rankings for almost every row in the table, sort them and them come with the top rank result. This whole retrieve and sort is quite unnecessary given the InnoDB already have the answer. In a real life case, user could have millions of rows, so in the old scheme, it would retrieve millions of rows' ranking and sort them, even if our FTS already found there are two 3 matched rows. Apparently, the million ranking retrieve is done in vain. In above case, it should just ask for 3 matched rows' ranking, all other rows' ranking are 0. If it want the top ranking, then it can just get the first record from our already sorted result. Case 2: Select Count(*) on matching records: mysql> SELECT COUNT(*) FROM articles WHERE MATCH (title,body) AGAINST ('database' IN NATURAL LANGUAGE MODE); In this case, InnoDB search can find matching rows quickly and will have all matching rows. However, before our change, in the old scheme, every row in the table was requested by MySQL one by one, just to check whether its ranking is larger than 0, and later comes up a count. In fact, there is no need for MySQL to fetch all rows, instead InnoDB already had all the matching records. The only thing need is to call an InnoDB API to retrieve the count The difference can be huge. Following query output shows how big the difference can be: mysql> select count(*) from searchindex_inno where match(si_title, si_text) against ('people')  +----------+ | count(*) | +----------+ | 666877 | +----------+ 1 row in set (16 min 17.37 sec) So the query took almost 16 minutes. Let’s see how long the InnoDB can come up the result. In InnoDB, you can obtain extra diagnostic printout by turning on “innodb_ft_enable_diag_print”, this will print out extra query info: Error log: keynr=2, 'people' NL search Total docs: 10954826 Total words: 0 UNION: Searching: 'people' Processing time: 2 secs: row(s) 666877: error: 10 ft_init() ft_init_ext() keynr=2, 'people' NL search Total docs: 10954826 Total words: 0 UNION: Searching: 'people' Processing time: 3 secs: row(s) 666877: error: 10 Output shows it only took InnoDB only 3 seconds to get the result, while the whole query took 16 minutes to finish. So large amount of time has been wasted on the un-needed row fetching. The Solution: The solution is obvious. MySQL can skip some of its steps, optimize its plan and obtain useful information directly from InnoDB. Some of savings from doing this include: 1) Avoid redundant sorting. Since InnoDB already sorted the result according to ranking. MySQL Query Processing layer does not need to sort to get top matching results. 2) Avoid row by row fetching to get the matching count. InnoDB provides all the matching records. All those not in the result list should all have ranking of 0, and no need to be retrieved. And InnoDB has a count of total matching records on hand. No need to recount. 3) Covered index scan. InnoDB results always contains the matching records' Document ID and their ranking. So if only the Document ID and ranking is needed, there is no need to go to user table to fetch the record itself. 4) Narrow the search result early, reduce the user table access. If the user wants to get top N matching records, we do not need to fetch all matching records from user table. We should be able to first select TOP N matching DOC IDs, and then only fetch corresponding records with these Doc IDs. Performance Results and comparison with MyISAM The result by this change is very obvious. I includes six testing result performed by Alexander Rubin just to demonstrate how fast the InnoDB query now becomes when comparing MyISAM Full-Text Search. These tests are base on the English Wikipedia data of 5.4 Million rows and approximately 16G table. The test was performed on a machine with 1 CPU Dual Core, SSD drive, 8G of RAM and InnoDB_buffer_pool is set to 8 GB. Table 1: SELECT with LIMIT CLAUSE mysql> SELECT si_title, match(si_title, si_text) against('family') as rel FROM si WHERE match(si_title, si_text) against('family') ORDER BY rel desc LIMIT 10; InnoDB MyISAM Times Faster Time for the query 1.63 sec 3 min 26.31 sec 127 You can see for this particular query (retrieve top 10 records), InnoDB Full-Text Search is now approximately 127 times faster than MyISAM. Table 2: SELECT COUNT QUERY mysql>select count(*) from si where match(si_title, si_text) against('family‘); +----------+ | count(*) | +----------+ | 293955 | +----------+ InnoDB MyISAM Times Faster Time for the query 1.35 sec 28 min 59.59 sec 1289 In this particular case, where there are 293k matching results, InnoDB took only 1.35 second to get all of them, while take MyISAM almost half an hour, that is about 1289 times faster!. Table 3: SELECT ID with ORDER BY and LIMIT CLAUSE for selected terms mysql> SELECT <ID>, match(si_title, si_text) against(<TERM>) as rel FROM si_<TB> WHERE match(si_title, si_text) against (<TERM>) ORDER BY rel desc LIMIT 10; Term InnoDB (time to execute) MyISAM(time to execute) Times Faster family 0.5 sec 5.05 sec 10.1 family film 0.95 sec 25.39 sec 26.7 Pizza restaurant orange county California 0.93 sec 32.03 sec 34.4 President united states of America 2.5 sec 36.98 sec 14.8 Table 4: SELECT title and text with ORDER BY and LIMIT CLAUSE for selected terms mysql> SELECT <ID>, si_title, si_text, ... as rel FROM si_<TB> WHERE match(si_title, si_text) against (<TERM>) ORDER BY rel desc LIMIT 10; Term InnoDB (time to execute) MyISAM(time to execute) Times Faster family 0.61 sec 41.65 sec 68.3 family film 1.15 sec 47.17 sec 41.0 Pizza restaurant orange county california 1.03 sec 48.2 sec 46.8 President united states of america 2.49 sec 44.61 sec 17.9 Table 5: SELECT ID with ORDER BY and LIMIT CLAUSE for selected terms mysql> SELECT <ID>, match(si_title, si_text) against(<TERM>) as rel  FROM si_<TB> WHERE match(si_title, si_text) against (<TERM>) ORDER BY rel desc LIMIT 10; Term InnoDB (time to execute) MyISAM(time to execute) Times Faster family 0.5 sec 5.05 sec 10.1 family film 0.95 sec 25.39 sec 26.7 Pizza restaurant orange county califormia 0.93 sec 32.03 sec 34.4 President united states of america 2.5 sec 36.98 sec 14.8 Table 6: SELECT COUNT(*) mysql> SELECT count(*) FROM si_<TB> WHERE match(si_title, si_text) against (<TERM>) LIMIT 10; Term InnoDB (time to execute) MyISAM(time to execute) Times Faster family 0.47 sec 82 sec 174.5 family film 0.83 sec 131 sec 157.8 Pizza restaurant orange county califormia 0.74 sec 106 sec 143.2 President united states of america 1.96 sec 220 sec 112.2  Again, table 3 to table 6 all showing InnoDB consistently outperform MyISAM in these queries by a large margin. It becomes obvious the InnoDB has great advantage over MyISAM in handling large data search. Summary: These results demonstrate the great performance we could achieve by making MySQL optimizer and InnoDB Full-Text Search more tightly coupled. I think there are still many cases that InnoDB’s result info have not been fully taken advantage of, which means we still have great room to improve. And we will continuously explore the area, and get more dramatic results for InnoDB full-text searches. Jimmy Yang, September 29, 2012

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