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• wanted to extend jQuery to handle a custom enter key event based on tabindex

  - by ullasvk

  I write the following code to handle when the enter key pressed an with few validation like if it is a textarea allow only four lines and if the value is empty, focus on itself. var temp = 1; function getLines(id) { return temp=temp+id; } $("#theform").keypress(function(e){ var key = e.charCode ? e.charCode : e.keyCode ? e.keyCode : 0; if (key == 13) { var $targ = $(e.target); var tindex = $targ.attr("tabindex"); var count =1; var focusNext = false; var allowedNumberOfLines = 4; if ($targ.is("textarea") && !$targ.is(":button,:submit")) { var lines= getLines(count); if (lines > allowedNumberOfLines) { $("#login_error").css('background', '#F7F77C').fadeIn(1000).html("Only "+allowedNumberOfLines+" Lines Allowed").fadeOut(1000); tindex++; $("[tabindex=" + tindex + "]").focus(); return false; } } else if($targ.val() =='' || $targ.val() == "undefined") { $("[tabindex=" + tindex + "]").focus(); return false; } else if($targ.val() !='' || $targ.val() != "undefined") { tindex++; $("[tabindex=" + tindex + "]").focus(); return false; } } }); Is there any way to make it a custom function so that i can just call the function like $('theform').returnPress();

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• Any guidelines for handling the Headset and Bluetooth AVRC transport controls in Android 2.2

  - by StefanK

  I am trying to figure out what is the correct (new) approach for handling the Intent.ACTION_MEDIA_BUTTON in Froyo. In pre 2.2 days we had to register a BroadcastReceiver (either permanently or at run-time) and the Media Button events would arrive, as long as no other application intercepts them and aborts the broadcast. Froyo seems to still somewhat support that model (at least for the wired headset), but it also introduces the registerMediaButtonEventReceiver, and unregisterMediaButtonEventReceiver methods that seem to control the "transport focus" between applications. During my experiments, using registerMediaButtonEventReceiver does cause both the bluetooth and the wired headset button presses to be routed to the application's broadcast receiver (the app gets the "transport focus"), but it looks like any change in the audio routing (for example unplugging the headset) shits the focus back to the default media player. What is the logic behind the implementation in Android 2.2? What is correct way to handle transport controls? Do we have to detect the change in the audio routing and try to re-gain the focus? This is an issue that any 3rd party media player on the Android platform has to deal with, so I hope that somebody (probably a Google Engineer) can provide some guidelines that we can all follow. Having a standard approach may make headset button controls a bit more predictable for the end users. Stefan

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• Social Business Forum Milano: Day 2

  - by me

  @YourService. The business world has flipped and small business can capitalize  by Frank Eliason (twitter: @FrankEliason ) Technology and social media tools have made it easier than ever for companies to communicate with consumers. They can listen and join in on conversations, solve problems, get instant feedback about their products and services, and more. So why, then, are most companies not doing this? Instead, it seems as if customer service is at an all time low, and that the few companies who are choosing to focus on their customers are experiencing a great competitive advantage. At Your Service explains the importance of refocusing your business on your customers and your employees, and just how to do it. Explains how to create a culture of empowered employees who understand the value of a great customer experience Advises on the need to communicate that experience to their customers and potential customers Frank Eliason, recognized by BusinessWeek as the 'most famous customer service manager in the US, possibly in the world,' has built a reputation for helping large businesses improve the way they connect with customers and enhance their relationships Quotes from the Audience: Bertrand Duperrin ?@bduperrin social service is not about shutting up the loudest cutsomers ! #sbf12 @frankeliason Paolo Pelloni ?@paolopelloniGautam Ghosh ?@GautamGhosh RT @cecildijoux: #sbf12 @frankeliason you need to change things and fix the approach it's not about social media it's about driving change  Peter H. Reiser ?@peterreiser #sbf12 Company Experience = Product Experience + Customer Interactions + Employee Experience @yourservice Engage or lose! Socialize, mobilize, conversify: engage your employees to improve business performance Christian Finn (twitter: @cfinn) First Christian was presenting the flying monkey   Then he outlined the four principals to fix the Intranet: 1. Socalize the Intranet 2. Get Thee to a Single Repository 3. Mobilize the Intranet 4. Conversationalize Your Processes Quotes from the Audience: Oscar Berg ?@oscarberg Engaged employees think their work bring out the best of their ideas @cfinn #sbf12 http://pic.twitter.com/68eddp48 John Stepper ?@johnstepper I like @cfinn's "conversify your processes" A nice related concept to "narrating your work", part of working out loud. http://johnstepper.com/2012/05/26/working-out-loud-your-personal-content-strategy/ Oscar Berg ?@oscarberg Organizations are talent markets - socializing your intranet makes this market function better @cfinn #sbf12 For profit, productivity, and personal benefit: creating a collaborative culture at Deutsche Bank John Stepper (twitter:@johnstepper) Driving adoption of collaboration + social media platforms at Deutsche Bank. John shared some great best practices on how to deploy an enterprise wide  community model  in a large company. He started with the most important question What is the commercial value of adding social ? Then he talked about the success of Community of Practices deployment and outlined some key use cases including the relevant measures to proof the ROI of the investment. Examples:  Community of practice -> measure: systematic collection of value stories  Self-service website  -> measure: based on representative models Optimizing asset inventory - > measure: Actual counts  This use case was particular interesting.  It is a crowd sourced spending/saving of infrastructure model.  User can cancel IT services they don't need (as example Software xx).  5% of the saving goes to social responsibility projects. The John outlined some  best practices on how to address the WIIFM (What's In It For Me) question of the individual users:  - change from hierarchy to graph -  working out loud = observable work + narrating  your work  - add social skills to career objectives - example: building a purposeful social network course/training as part of the job development curriculum And last but not least John gave some important tips on how to get senior management buy-in by establishing management sponsored division level collaboration boards which defines clear uses cases and measures. This divisional use cases are then implemented using a common social platform.  Thanks John - I learned a lot from your presentation!   Quotes from the Audience: Ana Silva ?@AnaDataGirl #sbf12 what's in it for individuals at Deutsche Bank? Shapping their reputations in a big org says @johnstepper #e20Ana Silva ?@AnaDataGirl Any reason why not? MT @magatorlibero #sbf12 is Deutsche B. experience on applying social inside company applicable to Italian people? Oscar Berg ?@oscarberg Your career is not a ladder, it is a network that opens up opportunities - @johnstepper #sbf12 Oscar Berg ?@oscarberg @johnstepper: Institutionalizing collaboration is next - collaboration woven into the fabric of daily work #sbf12 Ana Silva ?@AnaDataGirl #sbf12 @johnstepper talking about how Deutsche Bank is using #socbiz to build purposeful CoP & save money

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• EU Digital Agenda scores 85/100

  - by trond-arne.undheim

  If the Digital Agenda was a bottle of wine and I were wine critic Robert Parker, I would say the Digital Agenda has "a great bouquet, many good elements, with astringent, dry and puckering mouth feel that will not please everyone, but still displaying some finesse. A somewhat controlled effort with no surprises and a few noticeable flaws in the delivery. Noticeably shorter aftertaste than advertised by the producers. Score: 85/100. Enjoy now". The EU Digital Agenda states that "standards are vital for interoperability" and has a whole chapter on interoperability and standards. With this strong emphasis, there is hope the EU's outdated standardization system finally is headed for reform. It has been 23 years since the legal framework of standardisation was completed by Council Decision 87/95/EEC8 in the Information and Communications Technology (ICT) sector. Standardization is market driven. For several decades the IT industry has been developing standards and specifications in global open standards development organisations (fora/consortia), many of which have transparency procedures and practices far superior to the European Standards Organizations. The Digital Agenda rightly states: "reflecting the rise and growing importance of ICT standards developed by certain global fora and consortia". Some fora/consortia, of course, are distorted, influenced by single vendors, have poor track record, and need constant vigilance, but they are the minority. Therefore, the recognition needs to be accompanied by eligibility criteria focused on openness. Will the EU reform its ICT standardization by the end of 2010? Possibly, and only if DG Enterprise takes on board that Information and Communications Technologies (ICTs) have driven half of the productivity growth in Europe over the past 15 years, a prominent fact in the EU's excellent Digital Competitiveness report 2010 published on Monday 17 May. It is ok to single out the ICT sector. It simply is the most important sector right now as it fuels growth in all other sectors. Let's not wait for the entire standardization package which may take another few years. Europe does not have time. The Digital Agenda is an umbrella strategy with deliveries from a host of actors across the Commission. For instance, the EU promises to issue "guidance on transparent ex-ante disclosure rules for essential intellectual property rights and licensing terms and conditions in the context of standard setting", by 2011 in the Horisontal Guidelines now out for public consultation by DG COMP and to some extent by DG ENTR's standardization policy reform. This is important. The EU will issue procurement guidance as interoperability frameworks are put into practice. This is a joint responsibility of several DGs, and is likely to suffer coordination problems, controversy and delays. We have seen plenty of the latter already and I have commented on the Commission's own interoperability elsewhere, with mixed luck. :( Yesterday, I watched the cartoonesque Korean western film The Good, the Bad and the Weird. In the movie (and I meant in the movie only), a bandit, a thief, and a bounty hunter, all excellent at whatever they do, fight for a treasure map. Whether that is a good analogy for the situation within the Commission, others are better judges of than I. However, as a movie fanatic, I still await the final shoot-out, and, as in the film, the only certainty is that "life is about chasing and being chased". The missed opportunity (in this case not following up the push from Member States to better define open standards based interoperability) is a casualty of the chaos ensued in the European Wild West (and I mean that in the most endearing sense, and my excuses beforehand to actors who possibly justifiably cannot bear being compared to fictional movie characters). Instead of exposing the ongoing fight, the EU opted for the legalistic use of the term "standards" throughout the document. This is a term that--to the EU-- excludes most standards used by the IT industry world wide. So, while it, for a moment, meant "weapon down", it will not lead to lasting peace. The Digital Agenda calls for the Member States to "Implement commitments on interoperability and standards in the Malmö and Granada Declarations by 2013". This is a far cry from the actual Ministerial Declarations which called upon the Commission to help them with this implementation by recognizing and further defining open standards based interoperability. Unless there is more forthcoming from the Commission, the market's judgement will be: you simply fall short. Generally, I think the EU focus now should be "from policy to practice" and the Digital Agenda does indeed stop short of tackling some highly practical issues. There is need for progress beyond the Digital Agenda. Here are some suggestions that would help Europe re-take global leadership on openness, public sector reform, and economic growth: A strong European software strategy centred around open standards based interoperability by 2011. An ambitious new eCommission strategy for 2011-15 focused on migration to open standards by 2015. Aligning the IT portfolio across the Commission into one Digital Agenda DG by 2012. Focusing all best practice exchange in eGovernment on one social networking site, epractice.eu (full disclosure: I had a role in getting that site up and running) Prioritizing public sector needs in global standardization over European standardization by 2014.

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• Goto for the Java Programming Language

  - by darcy

  Work on JDK 8 is well-underway, but we thought this late-breaking JEP for another language change for the platform couldn't wait another day before being published. Title: Goto for the Java Programming Language Author: Joseph D. Darcy Organization: Oracle. Created: 2012/04/01 Type: Feature State: Funded Exposure: Open Component: core/lang Scope: SE JSR: 901 MR Discussion: compiler dash dev at openjdk dot java dot net Start: 2012/Q2 Effort: XS Duration: S Template: 1.0 Reviewed-by: Duke Endorsed-by: Edsger Dijkstra Funded-by: Blue Sun Corporation Summary Provide the benefits of the time-testing goto control structure to Java programs. The Java language has a history of adding new control structures over time, the assert statement in 1.4, the enhanced for-loop in 1.5,and try-with-resources in 7. Having support for goto is long-overdue and simple to implement since the JVM already has goto instructions. Success Metrics The goto statement will allow inefficient and verbose recursive algorithms and explicit loops to be replaced with more compact code. The effort will be a success if at least twenty five percent of the JDK's explicit loops are replaced with goto's. Coordination with IDE vendors is expected to help facilitate this goal. Motivation The goto construct offers numerous benefits to the Java platform, from increased expressiveness, to more compact code, to providing new programming paradigms to appeal to a broader demographic. In JDK 8, there is a renewed focus on using the Java platform on embedded devices with more modest resources than desktop or server environments. In such contexts, static and dynamic memory footprint is a concern. One significant component of footprint is the code attribute of class files and certain classes of important algorithms can be expressed more compactly using goto than using other constructs, saving footprint. For example, to implement state machines recursively, some parties have asked for the JVM to support tail calls, that is, to perform a complex transformation with security implications to turn a method call into a goto. Such complicated machinery should not be assumed for an embedded context. A better solution is just to expose to the programmer the desired functionality, goto. The web has familiarized users with a model of traversing links among different HTML pages in a free-form fashion with some state being maintained on the side, such as login credentials, to effect behavior. This is exactly the programming model of goto and code. While in the past this has been derided as leading to "spaghetti code," spaghetti is a tasty and nutritious meal for programmers, unlike quiche. The invokedynamic instruction added by JSR 292 exposes the JVM's linkage operation to programmers. This is a low-level operation that can be leveraged by sophisticated programmers. Likewise, goto is a also a low-level operation that should not be hidden from programmers who can use more efficient idioms. Some may object that goto was consciously excluded from the original design of Java as one of the removed feature from C and C++. However, the designers of the Java programming languages have revisited these removals before. The enum construct was also left out only to be added in JDK 5 and multiple inheritance was left out, only to be added back by the virtual extension method methods of Project Lambda. As a living language, the needs of the growing Java community today should be used to judge what features are needed in the platform tomorrow; the language should not be forever bound by the decisions of the past. Description From its initial version, the JVM has had two instructions for unconditional transfer of control within a method, goto (0xa7) and goto_w (0xc8). The goto_w instruction is used for larger jumps. All versions of the Java language have supported labeled statements; however, only the break and continue statements were able to specify a particular label as a target with the onerous restriction that the label must be lexically enclosing. The grammar addition for the goto statement is: GotoStatement: goto Identifier ; The new goto statement similar to break except that the target label can be anywhere inside the method and the identifier is mandatory. The compiler simply translates the goto statement into one of the JVM goto instructions targeting the right offset in the method. Therefore, adding the goto statement to the platform is only a small effort since existing compiler and JVM functionality is reused. Other language changes to support goto include obvious updates to definite assignment analysis, reachability analysis, and exception analysis. Possible future extensions include a computed goto as found in gcc, which would replace the identifier in the goto statement with an expression having the type of a label. Testing Since goto will be implemented using largely existing facilities, only light levels of testing are needed. Impact Compatibility: Since goto is already a keyword, there are no source compatibility implications. Performance/scalability: Performance will improve with more compact code. JVMs already need to handle irreducible flow graphs since goto is a VM instruction.

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• Session Report - Modern Software Development Anti-Patterns

  - by Janice J. Heiss

  In this standing-room-only session, building upon his 2011 JavaOne Rock Star “Diabolical Developer” session, Martijn Verburg, this time along with Ben Evans, identified and explored common “anti-patterns” – ways of doing things that keep developers from doing their best work. They emphasized the importance of social interaction and team communication, along with identifying certain psychological pitfalls that lead developers astray. Their emphasis was less on technical coding errors and more how to function well and to keep one’s focus on what really matters. They are the authors of the highly regarded The Well-Grounded Java Developer and are both movers and shakers in the London JUG community and on the Java Community Process. The large room was packed as they gave a fast-moving, witty presentation with lots of laughs and personal anecdotes. Below are a few of the anti-patterns they discussed.Anti-Pattern One: Conference-Driven DeliveryThe theme here is the belief that “Real pros hack code and write their slides minutes before their talks.” Their response to this anti-pattern is an expression popular in the military – PPPPPP, which stands for, “Proper preparation prevents piss-poor performance.”“Communication is very important – probably more important than the code you write,” claimed Verburg. “The more you speak in front of large groups of people the easier it gets, but it’s always important to do dry runs, to present to smaller groups. And important to be members of user groups where you can give presentations. It’s a great place to practice speaking skills; to gain new skills; get new contacts, to network.”They encouraged attendees to record themselves and listen to themselves giving a presentation. They advised them to start with a spouse or friends if need be. Learning to communicate to a group, they argued, is essential to being a successful developer. The emphasis here is that software development is a team activity and good, clear, accessible communication is essential to the functioning of software teams. Anti-Pattern Two: Mortgage-Driven Development The main theme here was that, in a period of worldwide recession and economic stagnation, people are concerned about keeping their jobs. So there is a tendency for developers to treat knowledge as power and not share what they know about their systems with their colleagues, so when it comes time to fix a problem in production, they will be the only one who knows how to fix it – and will have made themselves an indispensable cog in a machine so you cannot be fired. So developers avoid documentation at all costs, or if documentation is required, put it on a USB chip and lock it in a lock box. As in the first anti-pattern, the idea here is that communicating well with your colleagues is essential and documentation is a key part of this. Social interactions are essential. Both Verburg and Evans insisted that increasingly, year by year, successful software development is more about communication than the technical aspects of the craft. Developers who understand this are the ones who will have the most success. Anti-Pattern Three: Distracted by Shiny – Always Use the Latest Technology to Stay AheadThe temptation here is to pick out some obscure framework, try a bit of Scala, HTML5, and Clojure, and always use the latest technology and upgrade to the latest point release of everything. Don’t worry if something works poorly because you are ahead of the curve. Verburg and Evans insisted that there need to be sound reasons for everything a developer does. Developers should not bring in something simply because for some reason they just feel like it or because it’s new. They recommended a site run by a developer named Matt Raible with excellent comparison spread sheets regarding Web frameworks and other apps. They praised it as a useful tool to help developers in their decision-making processes. They pointed out that good developers sometimes make bad choices out of boredom, to add shiny things to their CV, out of frustration with existing processes, or just from a lack of understanding. They pointed out that some code may stay in a business system for 15 or 20 years, but not all code is created equal and some may change after 3 or 6 months. Developers need to know where the code they are contributing fits in. What is its likely lifespan? Anti-Pattern Four: Design-Driven Design The anti-pattern: If you want to impress your colleagues and bosses, use design patents left, right, and center – MVC, Session Facades, SOA, etc. Or the UML modeling suite from IBM, back in the day… Generate super fast code. And the more jargon you can talk when in the vicinity of the manager the better.Verburg shared a true story about a time when he was interviewing a guy for a job and asked him what his previous work was. The interviewee said that he essentially took patterns and uses an approved book of Enterprise Architecture Patterns and applied them. Verburg was dumbstruck that someone could have a job in which they took patterns from a book and applied them. He pointed out that the idea that design is a separate activity is simply wrong. He repeated a saying that he uses, “You should pay your junior developers for the lines of code they write and the things they add; you should pay your senior developers for what they take away.”He explained that by encouraging people to take things away, the code base gets simpler and reflects the actual business use cases developers are trying to solve, as opposed to the framework that is being imposed. He told another true story about a project to decommission a very long system. 98% of the code was decommissioned and people got a nice bonus. But the 2% remained on the mainframe so the 98% reduction in code resulted in zero reduction in costs, because the entire mainframe was needed to run the 2% that was left. There is an incentive to get rid of source code and subsystems when they are no longer needed. The session continued with several more anti-patterns that were equally insightful.

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• Using R to Analyze G1GC Log Files

  - by user12620111

  Using R to Analyze G1GC Log Files body, td { font-family: sans-serif; background-color: white; font-size: 12px; margin: 8px; } tt, code, pre { font-family: 'DejaVu Sans Mono', 'Droid Sans Mono', 'Lucida Console', Consolas, Monaco, monospace; } h1 { font-size:2.2em; } h2 { font-size:1.8em; } h3 { font-size:1.4em; } h4 { font-size:1.0em; } h5 { font-size:0.9em; } h6 { font-size:0.8em; } a:visited { color: rgb(50%, 0%, 50%); } pre { margin-top: 0; max-width: 95%; border: 1px solid #ccc; white-space: pre-wrap; } pre code { display: block; padding: 0.5em; } code.r, code.cpp { background-color: #F8F8F8; } table, td, th { border: none; } blockquote { color:#666666; margin:0; padding-left: 1em; border-left: 0.5em #EEE solid; } hr { height: 0px; border-bottom: none; border-top-width: thin; border-top-style: dotted; border-top-color: #999999; } @media print { * { background: transparent !important; color: black !important; filter:none !important; -ms-filter: none !important; } body { 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  Using R to Analyze G1GC Log Files   Using R to Analyze G1GC Log Files Introduction Working in Oracle Platform Integration gives an engineer opportunities to work on a wide array of technologies. My team’s goal is to make Oracle applications run best on the Solaris/SPARC platform. When looking for bottlenecks in a modern applications, one needs to be aware of not only how the CPUs and operating system are executing, but also network, storage, and in some cases, the Java Virtual Machine. I was recently presented with about 1.5 GB of Java Garbage First Garbage Collector log file data. If you’re not familiar with the subject, you might want to review Garbage First Garbage Collector Tuning by Monica Beckwith. The customer had been running Java HotSpot 1.6.0_31 to host a web application server. I was told that the Solaris/SPARC server was running a Java process launched using a commmand line that included the following flags: -d64 -Xms9g -Xmx9g -XX:+UseG1GC -XX:MaxGCPauseMillis=200 -XX:InitiatingHeapOccupancyPercent=80 -XX:PermSize=256m -XX:MaxPermSize=256m -XX:+PrintGC -XX:+PrintGCTimeStamps -XX:+PrintHeapAtGC -XX:+PrintGCDateStamps -XX:+PrintFlagsFinal -XX:+DisableExplicitGC -XX:+UnlockExperimentalVMOptions -XX:ParallelGCThreads=8 Several sources on the internet indicate that if I were to print out the 1.5 GB of log files, it would require enough paper to fill the bed of a pick up truck. Of course, it would be fruitless to try to scan the log files by hand. Tools will be required to summarize the contents of the log files. Others have encountered large Java garbage collection log files. There are existing tools to analyze the log files: IBM’s GC toolkit The chewiebug GCViewer gchisto HPjmeter Instead of using one of the other tools listed, I decide to parse the log files with standard Unix tools, and analyze the data with R. Data Cleansing The log files arrived in two different formats. I guess that the difference is that one set of log files was generated using a more verbose option, maybe -XX:+PrintHeapAtGC, and the other set of log files was generated without that option. Format 1 In some of the log files, the log files with the less verbose format, a single trace, i.e. the report of a singe garbage collection event, looks like this: {Heap before GC invocations=12280 (full 61): garbage-first heap total 9437184K, used 7499918K [0xfffffffd00000000, 0xffffffff40000000, 0xffffffff40000000) region size 4096K, 1 young (4096K), 0 survivors (0K) compacting perm gen total 262144K, used 144077K [0xffffffff40000000, 0xffffffff50000000, 0xffffffff50000000) the space 262144K, 54% used [0xffffffff40000000, 0xffffffff48cb3758, 0xffffffff48cb3800, 0xffffffff50000000) No shared spaces configured. 2014-05-14T07:24:00.988-0700: 60586.353: [GC pause (young) 7324M->7320M(9216M), 0.1567265 secs] Heap after GC invocations=12281 (full 61): garbage-first heap total 9437184K, used 7496533K [0xfffffffd00000000, 0xffffffff40000000, 0xffffffff40000000) region size 4096K, 0 young (0K), 0 survivors (0K) compacting perm gen total 262144K, used 144077K [0xffffffff40000000, 0xffffffff50000000, 0xffffffff50000000) the space 262144K, 54% used [0xffffffff40000000, 0xffffffff48cb3758, 0xffffffff48cb3800, 0xffffffff50000000) No shared spaces configured. } A simple grep can be used to extract a summary: $ grep "\[ GC pause (young" g1gc.log 2014-05-13T13:24:35.091-0700: 3.109: [GC pause (young) 20M->5029K(9216M), 0.0146328 secs] 2014-05-13T13:24:35.440-0700: 3.459: [GC pause (young) 9125K->6077K(9216M), 0.0086723 secs] 2014-05-13T13:24:37.581-0700: 5.599: [GC pause (young) 25M->8470K(9216M), 0.0203820 secs] 2014-05-13T13:24:42.686-0700: 10.704: [GC pause (young) 44M->15M(9216M), 0.0288848 secs] 2014-05-13T13:24:48.941-0700: 16.958: [GC pause (young) 51M->20M(9216M), 0.0491244 secs] 2014-05-13T13:24:56.049-0700: 24.066: [GC pause (young) 92M->26M(9216M), 0.0525368 secs] 2014-05-13T13:25:34.368-0700: 62.383: [GC pause (young) 602M->68M(9216M), 0.1721173 secs] But that format wasn't easily read into R, so I needed to be a bit more tricky. I used the following Unix command to create a summary file that was easy for R to read. $ echo "SecondsSinceLaunch BeforeSize AfterSize TotalSize RealTime" $ grep "\[GC pause (young" g1gc.log | grep -v mark | sed -e 's/[A-SU-z\(\),]/ /g' -e 's/->/ /' -e 's/: / /g' | more SecondsSinceLaunch BeforeSize AfterSize TotalSize RealTime 2014-05-13T13:24:35.091-0700 3.109 20 5029 9216 0.0146328 2014-05-13T13:24:35.440-0700 3.459 9125 6077 9216 0.0086723 2014-05-13T13:24:37.581-0700 5.599 25 8470 9216 0.0203820 2014-05-13T13:24:42.686-0700 10.704 44 15 9216 0.0288848 2014-05-13T13:24:48.941-0700 16.958 51 20 9216 0.0491244 2014-05-13T13:24:56.049-0700 24.066 92 26 9216 0.0525368 2014-05-13T13:25:34.368-0700 62.383 602 68 9216 0.1721173 Format 2 In some of the log files, the log files with the more verbose format, a single trace, i.e. the report of a singe garbage collection event, was more complicated than Format 1. Here is a text file with an example of a single G1GC trace in the second format. As you can see, it is quite complicated. It is nice that there is so much information available, but the level of detail can be overwhelming. I wrote this awk script (download) to summarize each trace on a single line. #!/usr/bin/env awk -f BEGIN { printf("SecondsSinceLaunch IncrementalCount FullCount UserTime SysTime RealTime BeforeSize AfterSize TotalSize\n") } ###################### # Save count data from lines that are at the start of each G1GC trace. # Each trace starts out like this: # {Heap before GC invocations=14 (full 0): # garbage-first heap total 9437184K, used 325496K [0xfffffffd00000000, 0xffffffff40000000, 0xffffffff40000000) ###################### /{Heap.*full/{ gsub ( "\\)" , "" ); nf=split($0,a,"="); split(a[2],b," "); getline; if ( match($0, "first") ) { G1GC=1; IncrementalCount=b[1]; FullCount=substr( b[3], 1, length(b[3])-1 ); } else { G1GC=0; } } ###################### # Pull out time stamps that are in lines with this format: # 2014-05-12T14:02:06.025-0700: 94.312: [GC pause (young), 0.08870154 secs] ###################### /GC pause/ { DateTime=$1; SecondsSinceLaunch=substr($2, 1, length($2)-1); } ###################### # Heap sizes are in lines that look like this: # [ 4842M->4838M(9216M)] ###################### /\[ .*]$/ { gsub ( "\\[" , "" ); gsub ( "\ \]" , "" ); gsub ( "->" , " " ); gsub ( "\\( " , " " ); gsub ( "\ \)" , " " ); split($0,a," "); if ( split(a[1],b,"M") > 1 ) {BeforeSize=b[1]*1024;} if ( split(a[1],b,"K") > 1 ) {BeforeSize=b[1];} if ( split(a[2],b,"M") > 1 ) {AfterSize=b[1]*1024;} if ( split(a[2],b,"K") > 1 ) {AfterSize=b[1];} if ( split(a[3],b,"M") > 1 ) {TotalSize=b[1]*1024;} if ( split(a[3],b,"K") > 1 ) {TotalSize=b[1];} } ###################### # Emit an output line when you find input that looks like this: # [Times: user=1.41 sys=0.08, real=0.24 secs] ###################### /\[Times/ { if (G1GC==1) { gsub ( "," , "" ); split($2,a,"="); UserTime=a[2]; split($3,a,"="); SysTime=a[2]; split($4,a,"="); RealTime=a[2]; print DateTime,SecondsSinceLaunch,IncrementalCount,FullCount,UserTime,SysTime,RealTime,BeforeSize,AfterSize,TotalSize; G1GC=0; } } The resulting summary is about 25X smaller that the original file, but still difficult for a human to digest. SecondsSinceLaunch IncrementalCount FullCount UserTime SysTime RealTime BeforeSize AfterSize TotalSize ... 2014-05-12T18:36:34.669-0700: 3985.744 561 0 0.57 0.06 0.16 1724416 1720320 9437184 2014-05-12T18:36:34.839-0700: 3985.914 562 0 0.51 0.06 0.19 1724416 1720320 9437184 2014-05-12T18:36:35.069-0700: 3986.144 563 0 0.60 0.04 0.27 1724416 1721344 9437184 2014-05-12T18:36:35.354-0700: 3986.429 564 0 0.33 0.04 0.09 1725440 1722368 9437184 2014-05-12T18:36:35.545-0700: 3986.620 565 0 0.58 0.04 0.17 1726464 1722368 9437184 2014-05-12T18:36:35.726-0700: 3986.801 566 0 0.43 0.05 0.12 1726464 1722368 9437184 2014-05-12T18:36:35.856-0700: 3986.930 567 0 0.30 0.04 0.07 1726464 1723392 9437184 2014-05-12T18:36:35.947-0700: 3987.023 568 0 0.61 0.04 0.26 1727488 1723392 9437184 2014-05-12T18:36:36.228-0700: 3987.302 569 0 0.46 0.04 0.16 1731584 1724416 9437184 Reading the Data into R Once the GC log data had been cleansed, either by processing the first format with the shell script, or by processing the second format with the awk script, it was easy to read the data into R. g1gc.df = read.csv("summary.txt", row.names = NULL, stringsAsFactors=FALSE,sep="") str(g1gc.df) ## 'data.frame': 8307 obs. of 10 variables: ## $ row.names : chr "2014-05-12T14:00:32.868-0700:" "2014-05-12T14:00:33.179-0700:" "2014-05-12T14:00:33.677-0700:" "2014-05-12T14:00:35.538-0700:" ... ## $ SecondsSinceLaunch: num 1.16 1.47 1.97 3.83 6.1 ... ## $ IncrementalCount : int 0 1 2 3 4 5 6 7 8 9 ... ## $ FullCount : int 0 0 0 0 0 0 0 0 0 0 ... ## $ UserTime : num 0.11 0.05 0.04 0.21 0.08 0.26 0.31 0.33 0.34 0.56 ... ## $ SysTime : num 0.04 0.01 0.01 0.05 0.01 0.06 0.07 0.06 0.07 0.09 ... ## $ RealTime : num 0.02 0.02 0.01 0.04 0.02 0.04 0.05 0.04 0.04 0.06 ... ## $ BeforeSize : int 8192 5496 5768 22528 24576 43008 34816 53248 55296 93184 ... ## $ AfterSize : int 1400 1672 2557 4907 7072 14336 16384 18432 19456 21504 ... ## $ TotalSize : int 9437184 9437184 9437184 9437184 9437184 9437184 9437184 9437184 9437184 9437184 ... head(g1gc.df) ## row.names SecondsSinceLaunch IncrementalCount ## 1 2014-05-12T14:00:32.868-0700: 1.161 0 ## 2 2014-05-12T14:00:33.179-0700: 1.472 1 ## 3 2014-05-12T14:00:33.677-0700: 1.969 2 ## 4 2014-05-12T14:00:35.538-0700: 3.830 3 ## 5 2014-05-12T14:00:37.811-0700: 6.103 4 ## 6 2014-05-12T14:00:41.428-0700: 9.720 5 ## FullCount UserTime SysTime RealTime BeforeSize AfterSize TotalSize ## 1 0 0.11 0.04 0.02 8192 1400 9437184 ## 2 0 0.05 0.01 0.02 5496 1672 9437184 ## 3 0 0.04 0.01 0.01 5768 2557 9437184 ## 4 0 0.21 0.05 0.04 22528 4907 9437184 ## 5 0 0.08 0.01 0.02 24576 7072 9437184 ## 6 0 0.26 0.06 0.04 43008 14336 9437184 Basic Statistics Once the data has been read into R, simple statistics are very easy to generate. All of the numbers from high school statistics are available via simple commands. For example, generate a summary of every column: summary(g1gc.df) ## row.names SecondsSinceLaunch IncrementalCount FullCount ## Length:8307 Min. : 1 Min. : 0 Min. : 0.0 ## Class :character 1st Qu.: 9977 1st Qu.:2048 1st Qu.: 0.0 ## Mode :character Median :12855 Median :4136 Median : 12.0 ## Mean :12527 Mean :4156 Mean : 31.6 ## 3rd Qu.:15758 3rd Qu.:6262 3rd Qu.: 61.0 ## Max. :55484 Max. :8391 Max. :113.0 ## UserTime SysTime RealTime BeforeSize ## Min. :0.040 Min. :0.0000 Min. : 0.0 Min. : 5476 ## 1st Qu.:0.470 1st Qu.:0.0300 1st Qu.: 0.1 1st Qu.:5137920 ## Median :0.620 Median :0.0300 Median : 0.1 Median :6574080 ## Mean :0.751 Mean :0.0355 Mean : 0.3 Mean :5841855 ## 3rd Qu.:0.920 3rd Qu.:0.0400 3rd Qu.: 0.2 3rd Qu.:7084032 ## Max. :3.370 Max. :1.5600 Max. :488.1 Max. :8696832 ## AfterSize TotalSize ## Min. : 1380 Min. :9437184 ## 1st Qu.:5002752 1st Qu.:9437184 ## Median :6559744 Median :9437184 ## Mean :5785454 Mean :9437184 ## 3rd Qu.:7054336 3rd Qu.:9437184 ## Max. :8482816 Max. :9437184 Q: What is the total amount of User CPU time spent in garbage collection? sum(g1gc.df$UserTime) ## [1] 6236 As you can see, less than two hours of CPU time was spent in garbage collection. Is that too much? To find the percentage of time spent in garbage collection, divide the number above by total_elapsed_time*CPU_count. In this case, there are a lot of CPU’s and it turns out the the overall amount of CPU time spent in garbage collection isn’t a problem when viewed in isolation. When calculating rates, i.e. events per unit time, you need to ask yourself if the rate is homogenous across the time period in the log file. Does the log file include spikes of high activity that should be separately analyzed? Averaging in data from nights and weekends with data from business hours may alias problems. If you have a reason to suspect that the garbage collection rates include peaks and valleys that need independent analysis, see the “Time Series” section, below. Q: How much garbage is collected on each pass? The amount of heap space that is recovered per GC pass is surprisingly low: At least one collection didn’t recover any data. (“Min.=0”) 25% of the passes recovered 3MB or less. (“1st Qu.=3072”) Half of the GC passes recovered 4MB or less. (“Median=4096”) The average amount recovered was 56MB. (“Mean=56390”) 75% of the passes recovered 36MB or less. (“3rd Qu.=36860”) At least one pass recovered 2GB. (“Max.=2121000”) g1gc.df$Delta = g1gc.df$BeforeSize - g1gc.df$AfterSize summary(g1gc.df$Delta) ## Min. 1st Qu. Median Mean 3rd Qu. Max. ## 0 3070 4100 56400 36900 2120000 Q: What is the maximum User CPU time for a single collection? The worst garbage collection (“Max.”) is many standard deviations away from the mean. The data appears to be right skewed. summary(g1gc.df$UserTime) ## Min. 1st Qu. Median Mean 3rd Qu. Max. ## 0.040 0.470 0.620 0.751 0.920 3.370 sd(g1gc.df$UserTime) ## [1] 0.3966 Basic Graphics Once the data is in R, it is trivial to plot the data with formats including dot plots, line charts, bar charts (simple, stacked, grouped), pie charts, boxplots, scatter plots histograms, and kernel density plots. Histogram of User CPU Time per Collection I don't think that this graph requires any explanation. hist(g1gc.df$UserTime, main="User CPU Time per Collection", xlab="Seconds", ylab="Frequency") Box plot to identify outliers When the initial data is viewed with a box plot, you can see the one crazy outlier in the real time per GC. Save this data point for future analysis and drop the outlier so that it’s not throwing off our statistics. Now the box plot shows many outliers, which will be examined later, using times series analysis. Notice that the scale of the x-axis changes drastically once the crazy outlier is removed. par(mfrow=c(2,1)) boxplot(g1gc.df$UserTime,g1gc.df$SysTime,g1gc.df$RealTime, main="Box Plot of Time per GC\n(dominated by a crazy outlier)", names=c("usr","sys","elapsed"), xlab="Seconds per GC", ylab="Time (Seconds)", horizontal = TRUE, outcol="red") crazy.outlier.df=g1gc.df[g1gc.df$RealTime > 400,] g1gc.df=g1gc.df[g1gc.df$RealTime < 400,] boxplot(g1gc.df$UserTime,g1gc.df$SysTime,g1gc.df$RealTime, main="Box Plot of Time per GC\n(crazy outlier excluded)", names=c("usr","sys","elapsed"), xlab="Seconds per GC", ylab="Time (Seconds)", horizontal = TRUE, outcol="red") box(which = "outer", lty = "solid") Here is the crazy outlier for future analysis: crazy.outlier.df ## row.names SecondsSinceLaunch IncrementalCount ## 8233 2014-05-12T23:15:43.903-0700: 20741 8316 ## FullCount UserTime SysTime RealTime BeforeSize AfterSize TotalSize ## 8233 112 0.55 0.42 488.1 8381440 8235008 9437184 ## Delta ## 8233 146432 R Time Series Data To analyze the garbage collection as a time series, I’ll use Z’s Ordered Observations (zoo). “zoo is the creator for an S3 class of indexed totally ordered observations which includes irregular time series.” require(zoo) ## Loading required package: zoo ## ## Attaching package: 'zoo' ## ## The following objects are masked from 'package:base': ## ## as.Date, as.Date.numeric head(g1gc.df[,1]) ## [1] "2014-05-12T14:00:32.868-0700:" "2014-05-12T14:00:33.179-0700:" ## [3] "2014-05-12T14:00:33.677-0700:" "2014-05-12T14:00:35.538-0700:" ## [5] "2014-05-12T14:00:37.811-0700:" "2014-05-12T14:00:41.428-0700:" options("digits.secs"=3) times=as.POSIXct( g1gc.df[,1], format="%Y-%m-%dT%H:%M:%OS%z:") g1gc.z = zoo(g1gc.df[,-c(1)], order.by=times) head(g1gc.z) ## SecondsSinceLaunch IncrementalCount FullCount ## 2014-05-12 17:00:32.868 1.161 0 0 ## 2014-05-12 17:00:33.178 1.472 1 0 ## 2014-05-12 17:00:33.677 1.969 2 0 ## 2014-05-12 17:00:35.538 3.830 3 0 ## 2014-05-12 17:00:37.811 6.103 4 0 ## 2014-05-12 17:00:41.427 9.720 5 0 ## UserTime SysTime RealTime BeforeSize AfterSize ## 2014-05-12 17:00:32.868 0.11 0.04 0.02 8192 1400 ## 2014-05-12 17:00:33.178 0.05 0.01 0.02 5496 1672 ## 2014-05-12 17:00:33.677 0.04 0.01 0.01 5768 2557 ## 2014-05-12 17:00:35.538 0.21 0.05 0.04 22528 4907 ## 2014-05-12 17:00:37.811 0.08 0.01 0.02 24576 7072 ## 2014-05-12 17:00:41.427 0.26 0.06 0.04 43008 14336 ## TotalSize Delta ## 2014-05-12 17:00:32.868 9437184 6792 ## 2014-05-12 17:00:33.178 9437184 3824 ## 2014-05-12 17:00:33.677 9437184 3211 ## 2014-05-12 17:00:35.538 9437184 17621 ## 2014-05-12 17:00:37.811 9437184 17504 ## 2014-05-12 17:00:41.427 9437184 28672 Example of Two Benchmark Runs in One Log File The data in the following graph is from a different log file, not the one of primary interest to this article. I’m including this image because it is an example of idle periods followed by busy periods. It would be uninteresting to average the rate of garbage collection over the entire log file period. More interesting would be the rate of garbage collect in the two busy periods. Are they the same or different? Your production data may be similar, for example, bursts when employees return from lunch and idle times on weekend evenings, etc. Once the data is in an R Time Series, you can analyze isolated time windows. Clipping the Time Series data Flashing back to our test case… Viewing the data as a time series is interesting. You can see that the work intensive time period is between 9:00 PM and 3:00 AM. Lets clip the data to the interesting period:     par(mfrow=c(2,1)) plot(g1gc.z$UserTime, type="h", main="User Time per GC\nTime: Complete Log File", xlab="Time of Day", ylab="CPU Seconds per GC", col="#1b9e77") clipped.g1gc.z=window(g1gc.z, start=as.POSIXct("2014-05-12 21:00:00"), end=as.POSIXct("2014-05-13 03:00:00")) plot(clipped.g1gc.z$UserTime, type="h", main="User Time per GC\nTime: Limited to Benchmark Execution", xlab="Time of Day", ylab="CPU Seconds per GC", col="#1b9e77") box(which = "outer", lty = "solid") Cumulative Incremental and Full GC count Here is the cumulative incremental and full GC count. When the line is very steep, it indicates that the GCs are repeating very quickly. Notice that the scale on the Y axis is different for full vs. incremental. plot(clipped.g1gc.z[,c(2:3)], main="Cumulative Incremental and Full GC count", xlab="Time of Day", col="#1b9e77") GC Analysis of Benchmark Execution using Time Series data In the following series of 3 graphs: The “After Size” show the amount of heap space in use after each garbage collection. Many Java objects are still referenced, i.e. alive, during each garbage collection. This may indicate that the application has a memory leak, or may indicate that the application has a very large memory footprint. Typically, an application's memory footprint plateau's in the early stage of execution. One would expect this graph to have a flat top. The steep decline in the heap space may indicate that the application crashed after 2:00. The second graph shows that the outliers in real execution time, discussed above, occur near 2:00. when the Java heap seems to be quite full. The third graph shows that Full GCs are infrequent during the first few hours of execution. The rate of Full GC's, (the slope of the cummulative Full GC line), changes near midnight.   plot(clipped.g1gc.z[,c("AfterSize","RealTime","FullCount")], xlab="Time of Day", col=c("#1b9e77","red","#1b9e77")) GC Analysis of heap recovered Each GC trace includes the amount of heap space in use before and after the individual GC event. During garbage coolection, unreferenced objects are identified, the space holding the unreferenced objects is freed, and thus, the difference in before and after usage indicates how much space has been freed. The following box plot and bar chart both demonstrate the same point - the amount of heap space freed per garbage colloection is surprisingly low. par(mfrow=c(2,1)) boxplot(as.vector(clipped.g1gc.z$Delta), main="Amount of Heap Recovered per GC Pass", xlab="Size in KB", horizontal = TRUE, col="red") hist(as.vector(clipped.g1gc.z$Delta), main="Amount of Heap Recovered per GC Pass", xlab="Size in KB", breaks=100, col="red") box(which = "outer", lty = "solid") This graph is the most interesting. The dark blue area shows how much heap is occupied by referenced Java objects. This represents memory that holds live data. The red fringe at the top shows how much data was recovered after each garbage collection. barplot(clipped.g1gc.z[,c("AfterSize","Delta")], col=c("#7570b3","#e7298a"), xlab="Time of Day", border=NA) legend("topleft", c("Live Objects","Heap Recovered on GC"), fill=c("#7570b3","#e7298a")) box(which = "outer", lty = "solid") When I discuss the data in the log files with the customer, I will ask for an explaination for the large amount of referenced data resident in the Java heap. There are two are posibilities: There is a memory leak and the amount of space required to hold referenced objects will continue to grow, limited only by the maximum heap size. After the maximum heap size is reached, the JVM will throw an “Out of Memory” exception every time that the application tries to allocate a new object. If this is the case, the aplication needs to be debugged to identify why old objects are referenced when they are no longer needed. The application has a legitimate requirement to keep a large amount of data in memory. The customer may want to further increase the maximum heap size. Another possible solution would be to partition the application across multiple cluster nodes, where each node has responsibility for managing a unique subset of the data. Conclusion In conclusion, R is a very powerful tool for the analysis of Java garbage collection log files. The primary difficulty is data cleansing so that information can be read into an R data frame. Once the data has been read into R, a rich set of tools may be used for thorough evaluation.

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• What is Happening vs. What is Interesting

  - by Geertjan

  Devoxx 2011 was yet another confirmation that all development everywhere is either on the web or on mobile phones. Whether you looked at the conference schedule or attended sessions or talked to speakers at any point at all, it was very clear that no development whatsoever is done anymore on the desktop. In fact, that's something Tim Bray himself told me to my face at the speakers dinner. No new developments of any kind are happening on the desktop. Everyone who is currently on the desktop is working overtime to move all of their applications to the web. They're probably also creating a small subset of their application on an Android tablet, with an even smaller subset on their Android phone. Then you scratch that monolithic surface and find some interesting results. Without naming any names, I asked one of these prominent "ah, forget about the desktop" people at the Devoxx speakers dinner (and I have a witness): "Yes, the desktop is dead, but what about air traffic control, stock trading, oil analysis, risk management applications? In fact, what about any back office application that needs to be usable across all operating systems? Here there is no concern whatsoever with 100% accessibility which is, after all, the only thing that the web has over the desktop, (except when there's a network failure, of course, or when you find yourself in the 3/4 of the world where there's bandwidth problems)? There are 1000's of hidden applications out there that have processing requirements, security requirements, and the requirement that they'll be available even when the network is down or even completely unavailable. Isn't that a valid use case and aren't there 1000's of applications that fall into this so-called niche category? Are you not, in fact, confusing consumer applications, which are increasingly web-based and mobile-based, with high-end corporate applications, which typically need to do massive processing, of one kind or another, for which the web and mobile worlds are completely unsuited?" And you will not believe what the reply to the above question was. (Again, I have a witness to this discussion.) But here it is: "Yes. But those applications are not interesting. I do not want to spend any of my time or work in any way on those applications. They are boring." I'm sad to say that the leaders of the software development community, including those in the Java world, either share the above opinion or are led by it. Because they find something that is not new to be boring, they move on to what is interesting and start talking like the supposedly-boring developments don't even exist. (Kind of like a rapper pretending classical music doesn't exist.) Time and time again I find myself giving Java desktop development courses (at companies, i.e., not hobbyists, or students, but companies, i.e., the places where dollars are earned), where developers say to me: "The course you're giving about creating cross-platform, loosely coupled, and highly cohesive applications is really useful to us. Why do we never find information about this topic at conferences? Why can we never attend a session at a conference where the story about pluggable cross-platform Java is told? Why do we get the impression that we are uncool because we're not on the web and because we're not on a mobile phone, while the reason for that is because we're creating $1000,000 simulation software which has nothing to gain from being on the web or on the mobile phone?" And then I say: "Because nobody knows you exist. Because you're not submitting abstracts to conferences about your very interesting use cases. And because conferences tend to focus on what is new, which tends to be web related (especially HTML 5) or mobile related (especially Android). Because you're not taking the responsibility on yourself to tell the real stories about the real applications being developed all the time and every day. Because you yourself think your work is boring, while in fact it is fascinating. Because desktop developers are working from 9 to 5 on the desktop, in secure environments, such as banks and defense, where you can't spend time, nor have the interest in, blogging your latest tip or trick, as opposed to web developers, who tend to spend a lot of time on the web anyway and are therefore much more inclined to create buzz about the kind of work they're doing." So, next time you look at a conference program and wonder why there's no stories about large desktop development projects in the program, here's the short answer: "No one is going to put those items on the program until you start submitting those kinds of sessions. And until you start blogging. Until you start creating the buzz that the web developers have been creating around their work for the past 10 years or so. And, yes, indeed, programmers get the conference they deserve." And what about Tim Bray? Ask yourself, as Google's lead web technology evangelist, how many desktop developers do you think he talks to and, more generally, what his frame of reference is and what, clearly, he considers to be most interesting.

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• BeansBinding Across Modules in a NetBeans Platform Application

  - by Geertjan

  Here's two TopComponents, each in a different NetBeans module. Let's use BeansBinding to synchronize the JTextField in TC2TopComponent with the data published by TC1TopComponent and received in TC2TopComponent by listening to the Lookup. The key to getting to the solution is to have the following in TC2TopComponent, which implements LookupListener: private BindingGroup bindingGroup = null; private AutoBinding binding = null; @Override public void resultChanged(LookupEvent le) { if (bindingGroup != null && binding != null) { bindingGroup.getBinding("customerNameBinding").unbind(); } if (!result.allInstances().isEmpty()){ Customer c = result.allInstances().iterator().next(); // put the customer into the lookup of this topcomponent, // so that it will remain in the lookup when focus changes // to this topcomponent: ic.set(Collections.singleton(c), null); bindingGroup = new BindingGroup(); binding = Bindings.createAutoBinding( // a two-way binding, i.e., a change in // one will cause a change in the other: AutoBinding.UpdateStrategy.READ_WRITE, // source: c, BeanProperty.create("name"), // target: jTextField1, BeanProperty.create("text"), // binding name: "customerNameBinding"); bindingGroup.addBinding(binding); bindingGroup.bind(); } } I must say that this solution is preferable over what I've been doing prior to getting to this solution: I would get the customer from the resultChanged, set a class-level field to that customer, add a document listener (or action listener, which is invoked when Enter is pressed) on the text field and, when a change is detected, set the new value on the customer. All that is not needed with the above bit of code. Then, in the node, make sure to use canRename, setName, and getDisplayName, so that when the user presses F2 on a node, the display name can be changed. In other words, when the user types something different in the node display name after pressing F2, the underlying customer name is changed, which happens, in the first place, because the customer name is bound to the text field's value, so that the text field's value will also change once enter is pressed on the changed node display name. Also set a PropertyChangeListener on the node (which implies you need to add property change support to the customer object), so that when the customer object changes (which happens, in the second place, via a change in the value of the text field, as defined in the binding defined above), the node display name is updated. In other words, there's still a bit of plumbing you need to include. But less than before and the nasty class-level field for storing the customer in the TC2TopComponent is no longer needed. And a listener on the text field, with a property change listener implented on the TC2TopComponent, isn't needed either. On the other hand, it's more code than I was using before and I've had to include the BeansBinding JAR, which adds a bit of overhead to my application, without much additional functionality over what I was doing originally. I'd lean towards not doing things this way. Seems quite expensive for essentially replacing a listener on a text field and a property change listener implemented on the TC2TopComponent for being notified of changes to the customer so that the text field can be updated. On the other other hand, it's kind of nice that all this listening-related code is centralized in one place now. So, here's a nice improvement over the above. Instead of listening for a customer, listen for a node, from which the customer can be obtained. Then, bind the node display name to the text field's value, so that when the user types in the text field, the node display name is updated. That saves you from having to listen in the node for changes to the customer's name. In addition to that binding, keep the previous binding, because the previous binding connects the customer name to the text field, so that when the customer display name is changed via F2 on the node, the text field will be updated. private BindingGroup bindingGroup = null; private AutoBinding nodeUpdateBinding; private AutoBinding textFieldUpdateBinding; @Override public void resultChanged(LookupEvent le) { if (bindingGroup != null && textFieldUpdateBinding != null) { bindingGroup.getBinding("textFieldUpdateBinding").unbind(); } if (bindingGroup != null && nodeUpdateBinding != null) { bindingGroup.getBinding("nodeUpdateBinding").unbind(); } if (!result.allInstances().isEmpty()) { Node n = result.allInstances().iterator().next(); Customer c = n.getLookup().lookup(Customer.class); ic.set(Collections.singleton(n), null); bindingGroup = new BindingGroup(); nodeUpdateBinding = Bindings.createAutoBinding( AutoBinding.UpdateStrategy.READ_WRITE, n, BeanProperty.create("name"), jTextField1, BeanProperty.create("text"), "nodeUpdateBinding"); bindingGroup.addBinding(nodeUpdateBinding); textFieldUpdateBinding = Bindings.createAutoBinding( AutoBinding.UpdateStrategy.READ_WRITE, c, BeanProperty.create("name"), jTextField1, BeanProperty.create("text"), "textFieldUpdateBinding"); bindingGroup.addBinding(textFieldUpdateBinding); bindingGroup.bind(); } } Now my node has no property change listener, while the customer has no property change support. As in the first bit of code, the text field doesn't have a listener either. All that listening is taken care of by the BeansBinding code.  Thanks to Toni for help with this, though he can't be blamed for anything that is wrong with it, only thanked for anything that is right with it. 

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• JavaOne Latin America 2012 is a wrap!

  - by arungupta

  Third JavaOne in Latin America (2010, 2011) is now a wrap! Like last year, the event started with a Geek Bike Ride. I could not attend the bike ride because of pre-planned activities but heard lots of good comments about it afterwards. This is a great way to engage with JavaOne attendees in an informal setting. I highly recommend you joining next time! JavaOne Blog provides a a great coverage for the opening keynotes. I talked about all the great set of functionality that is coming in the Java EE 7 Platform. Also shared the details on how Java EE 7 JSRs are willing to take help from the Adopt-a-JSR program. glassfish.org/adoptajsr bridges the gap between JUGs willing to participate and looking for areas on where to help. The different specification leads have identified areas on where they are looking for feedback. So if you are JUG is interested in picking a JSR, I recommend to take a look at glassfish.org/adoptajsr and jump on the bandwagon. The main attraction for the Tuesday evening was the GlassFish Party. The party was packed with Latin American JUG leaders, execs from Oracle, and local community members. Free flowing food and beer/caipirinhas acted as great lubricant for great conversations. Some of them were considering the migration from Spring -> Java EE 6 and replacing their primary app server with GlassFish. Locaweb, a local hosting provider sponsored a round of beer at the party as well. They are planning to come with Java EE hosting next year and GlassFish would be a logical choice for them ;) I heard lots of positive feedback about the party afterwards. Many thanks to Bruno Borges for organizing a great party! Check out some more fun pictures of the party! Next day, I gave a presentation on "The Java EE 7 Platform: Productivity and HTML 5" and the slides are now available: With so much new content coming in the plaform: Java Caching API (JSR 107) Concurrency Utilities for Java EE (JSR 236) Batch Applications for the Java Platform (JSR 352) Java API for JSON (JSR 353) Java API for WebSocket (JSR 356) And JAX-RS 2.0 (JSR 339) and JMS 2.0 (JSR 343) getting major updates, there is definitely lot of excitement that was evident amongst the attendees. The talk was delivered in the biggest hall and had about 200 attendees. Also spent a lot of time talking to folks at the OTN Lounge. The JUG leaders appreciation dinner in the evening had its usual share of fun. Day 3 started with a session on "Building HTML5 WebSocket Apps in Java". The slides are now available: The room was packed with about 150 attendees and there was good interaction in the room as well. A collaborative whiteboard built using WebSocket was very well received. The following tweets made it more worthwhile: A WebSocket speek, by @ArunGupta, was worth every hour lost in transit. #JavaOneBrasil2012, #JavaOneBr @arungupta awesome presentation about WebSockets :) The session was immediately followed by the hands-on lab "Developing JAX-RS Web Applications Utilizing Server-Sent Events and WebSocket". The lab covers JAX-RS 2.0, Jersey-specific features such as Server-Sent Events, and a WebSocket endpoint using JSR 356. The complete self-paced lab guide can be downloaded from here. The lab was planned for 2 hours but several folks finished the entire exercise in about 75 mins. The wonderfully written lab material and an added incentive of Java EE 6 Pocket Guide did the trick ;-) I also spoke at "The Java Community Process: How You Can Make a Positive Difference". It was really great to see several JUG leaders talking about Adopt-a-JSR program and other activities that attendees can do to participate in the JCP. I shared details about Adopt a Java EE 7 JSR as well. The community keynote in the evening was looking fun but I had to leave in between to go through the peak Sao Paulo traffic time :) Enjoy the complete set of pictures in the album:

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• Social Media Talk: Facebook, Really?? How Has It Become This Popular??

  - by david.talamelli

  If you have read some of my previous posts over the past few years either here or on my personal blog David's Journal on Tap you will know I am a Social Media enthusiast. I use various social media sites everday in both my work and personal life. I was surprised to read today on Mashable.com that Facebook now Commands 41% of Social Media Trafic. When I think of the Social Media sites I use most, the sites that jump into my mind first are LinkedIn, Blogging and Twitter. I do use Facebook in both work and in my personal life but on the list of sites I use it probably ranks closer to the bottom of the list rather than the top. I know Facebook is engrained in everything these days - but really I am not a huge Facebook fan - and I am finding that over the past 3-6 months my interest in Facebook is going down rather than up. From a work perspective - SM sites let me connect with candidates and communities and they help me talk about the things that I am doing here at Oracle. From a personal perspective SM sites let me keep in touch with friends and family both here and overseas in a really simple and easy way. Sites like LinkedIn give me a great way to proactively talk to both active and passive candidates. Twitter is fantastic to keep in touch with industry trends and keep up to date on the latest trending topics as well as follow conversations about whatever keyword you want to follow. Blogging lets me share my thoughts and ideas with others and while FB does have some great benefits I don't think the benefits outweigh the negatives of using FB. I use TweetDeck to keep track of my twitter feeds, the latest LinkedIn updates and Facebook updates. Tweetdeck is a great tool as it consolidates these 3 SM sites for me and I can quickly scan to see the latest news on any of them. From what I have seen from Facebook it looks like 70%-80% of people are using FB to grow their farm on farmville, start a mafia war on mafiawars or read their horoscope, check their love percentage, etc...... In between all these "updates" every now and again you do see a real update from someone who actually has something to say but there is so much "white noise" on FB from all the games and apps that is hard to see the real messages from all the 'games' information. I don't like having to scroll through what seems likes pages of farmville updates only to get one real piece of information. For me this is where FB's value really drops off. While I use SM everyday I try to use SM effectively. Sifting through so much noise is not effective and really I am not all that interested in Farmville, MafiaWars or any similar game/app. But what about Groups and Facebook Ads?? Groups are ok, but I am not sure I would call them SM game changers - yes there is a group for everything out there, but a group whether it is on FB or not is only as good as the community that supports and participates in it. Many of the Groups on FB (and elsewhere) are set up and never used or promoted by the moderator. I have heard that FB ads do have an impact, and I have not really looked at them - the question of cost jumps and return on investment comes to my mind though. FB does have some benefits, it is a great way to keep in touch with people and a great way to talk to others. I think it would have been interesting to see a different statistic measuring how effective that 41% of Social Media Traffic via FB really is or is it just a case of more people jumping online to play games. To me FB does not equal SM effectiveness, at the moment it is a tool that I sometimes need to use as opposed to want to use. This article was originally posted on David Talamelli's Blog - David's Journal on Tap

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• Text Expansion Awareness for UX Designers: Points to Consider

  - by ultan o'broin

  Awareness of translated text expansion dynamics is important for enterprise applications UX designers (I am assuming all source text for translation is in English, though apps development can takes place in other natural languages too). This consideration goes beyond the standard 'character multiplication' rule and must take into account the avoidance of other layout tricks that a designer might be tempted to try. Follow these guidelines. For general text expansion, remember the simple rule that the shorter the word is in the English, the longer it will need to be in English. See the examples provided by Richard Ishida of the W3C and you'll get the idea. So, forget the 30 percent or one inch minimum expansion rule of the old Forms days. Unfortunately remembering convoluted text expansion rules, based as a percentage of the US English character count can be tough going. Try these: Up to 10 characters: 100 to 200% 11 to 20 characters: 80 to 100% 21 to 30 characters: 60 to 80% 31 to 50 characters: 40 to 60% 51 to 70 characters: 31 to 40% Over 70 characters: 30% (Source: IBM) So it might be easier to remember a rule that if your English text is less than 20 characters then allow it to double in length (200 percent), and then after that assume an increase by half the length of the text (50%). (Bear in mind that ADF can apply truncation rules on some components in English too). (If your text is stored in a database, developers must make sure the table column widths can accommodate the expansion of your text when translated based on byte size for the translated character and not numbers of characters. Use Unicode. One character does not equal one byte in the multilingual enterprise apps world.) Rely on a graceful transformation of translated text. Let all pages to resize dynamically so the text wraps and flow naturally. ADF pages supports this already. Think websites. Don't hard-code alignments. Use Start and End properties on components and not Left or Right. Don't force alignments of components on the page by using texts of a certain length as spacers. Use proper label positioning and anchoring in ADF components or other technologies. Remember that an increase in text length means an increase in vertical space too when pages are resized. So don't hard-code vertical heights for any text areas. Don't be tempted to manually create text or printed reports this way either. They cannot be translated successfully, and are very difficult to maintain in English. Use XML, HTML, RTF and so on. Check out what Oracle BI Publisher offers. Don't force wrapping by using tricks such as /n or /t characters or HTML BR tags or forced page breaks. Once the text is translated the alignment will be destroyed. The position of the breaking character or tag would need to be moved anyway, or even removed. When creating tables, then use table components. Don't use manually created tables that reply on word length to maintain column and row alignment. For example, don't use codeblock elements in HTML; use the proper table elements instead. Once translated, the alignment of manually formatted tabular data is destroyed. Finally, if there is a space restriction, then don't use made-up acronyms, abbreviations or some form of daft text speak to save space. Besides being incomprehensible in English, they may need full translations of the shortened words, even if they can be figured out. Use approved or industry standard acronyms according to the UX style rules, not as a space-saving device. Restricted Real Estate on Mobile Devices On mobile devices real estate is limited. Using shortened text is fine once it is comprehensible. Users in the mobile space prefer brevity too, as they are on the go, performing three-minute tasks, with no time to read lengthy texts. Using fragments and lightning up on unnecessary articles and getting straight to the point with imperative forms of verbs makes sense both on real estate and user experience grounds.

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• Framework 4 Features: Support for Timed Jobs

  - by Anthony Shorten

  One of the new features of the Oracle Utilities Application Framework V4 is the ability for the batch framework to support Timed Batch. Traditionally batch is associated with set processing in the background in a fixed time frame. For example, billing customers. Over the last few versions their has been functionality required by the products required a more monitoring style batch process. The monitor is a batch process that looks for specific business events based upon record status or other pieces of data. For example, the framework contains a fact monitor (F1-FCTRN) that can be configured to look for specific status's or other conditions. The batch process then uses the instructions on the object to determine what to do. To support monitor style processing, you need to run the process regularly a number of times a day (for example, every ten minutes). Traditional batch could support this but it was not as optimal as expected (if you are a site using the old Workflow subsystem, you understand what I mean). The Batch framework was extended to add additional facilities to support times (and continuous batch which is another new feature for another blog entry). The new facilities include: The batch control now defines the job as Timed or Not Timed. Non-Timed batch are traditional batch jobs. The timer interval (the interval between executions) can be specified The timer can be made active or inactive. Only active timers are executed. Setting the Timer Active to inactive will stop the job at the next time interval. Setting the Timer Active to Active will start the execution of the timed job. You can specify the credentials, language to view the messages and an email address to send the a summary of the execution to. The email address is optional and requires an email server to be specified in the relevant feature configuration. You can specify the thread limits and commit intervals to be sued for the multiple executions. Once a timer job is defined it will be executed automatically by the Business Application Server process if the DEFAULT threadpool is active. This threadpool can be started using the online batch daemon (for non-production) or externally using the threadpoolworker utility. At that time any batch process with the Timer Active set to Active and Batch Control Type of Timed will begin executing. As Timed jobs are executed automatically then they do not appear in any external schedule or are managed by an external scheduler (except via the DEFAULT threadpool itself of course). Now, if the job has no work to do as the timer interval is being reached then that instance of the job is stopped and the next instance started at the timer interval. If there is still work to complete when the interval interval is reached, the instance will continue processing till the work is complete, then the instance will be stopped and the next instance scheduled for the next timer interval. One of the key ways of optimizing this processing is to set the timer interval correctly for the expected workload. This is an interesting new feature of the batch framework and we anticipate it will come in handy for specific business situations with the monitor processes.

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• How To Clear An Alert - Part 2

  - by werner.de.gruyter

  There were some interesting comments and remarks on the original posting, so I decided to do a follow-up and address some of the issues that got raised... Handling Metric Errors First of all, there is a significant difference between an 'error' and an 'alert'. An 'alert' is the violation of a condition (a threshold) specified for a given metric. That means that the Agent is collecting and gathering the data for the metric, but there is a situation that requires the attention of an administrator. An 'error' on the other hand however, is a failure to collect metric data: The Agent is throwing the error because it cannot determine the value for the metric Whereas the 'alert' guarantees continuity of the metric data, an 'error' signals a big unknown. And the unknown aspect of all this is what makes an error a lot more serious than a regular alert: If you don't know what the current state of affairs is, there could be some serious issues brewing that nobody is aware of... The life-cycle of a Metric Error Clearing a metric error is pretty much the same workflow as a metric 'alert': The Agent signals the error after it failed to execute the metric The error is uploaded to the OMS/repository, where it becomes visible in the Console The error will remain active until the Agent is able to execute the metric successfully. Even though the metric is still getting scheduled and executed on a regular basis, the error will remain outstanding as long as the Agent is not capable of executing the metric correctly Knowing this, the way to fix the metric error should be obvious: Take the 'problem' away, and as soon as the metric is executed again (based on the frequency of the metric), the error will go away. The same tricks used to clear alerts can be used here too: Wait for the next scheduled execution. For those metrics that are executed regularly (like every 15 minutes or so), it's just a matter of waiting those minutes to see the updates. The 'Reevaluate Alert' button can be used to force a re-execution of the metric. In case a metric is executed once a day, this will be a better way to make sure that the underlying problem has been solved. And if it has been, the metric error will be removed, and the regular data points will be uploaded to the repository. And just in case you have to 'force' the issue a little: If you disable and re-enable a metric, it will get re-scheduled. And that means a new metric execution, and an update of the (hopefully) fixed problem. Database server-generated alerts and problem checkers There are various ways the Agent can collect metric data: Via a script or a SQL statement, reading a log file, getting a value from an SNMP OID or listening for SNMP traps or via the DBMS_SERVER_ALERTS mechanism of an Oracle database. For those alert which are generated by the database (like tablespace metrics for 10g and above databases), the Agent just 'waits' for the database to report any new findings. If the Agent has lost the current state of the server-side metrics (due to an incomplete recovery after a disaster, or after an improper use of the 'emctl clearstate' command), the Agent might be still aware of an alert that the database no longer has (or vice versa). The same goes for 'problem checker' alerts: Those metrics that only report data if there is a problem (like the 'invalid objects' metric) will also have a problem if the Agent state has been tampered with (again, the incomplete recovery, and after improper use of 'emctl clearstate' are the two main causes for this). The best way to deal with these kinds of mismatches, is to simple disable and re-enable the metric again: The disabling will clear the state of the metric, and the re-enabling will force a re-execution of the metric, so the new and updated results can get uploaded to the repository. Starting 10gR5, the Agent performs additional checks and verifications after each restart of the Agent and/or each state change of the database (shutdown/startup or failover in case of DataGuard) to catch these kinds of mismatches.

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• Java Spotlight Episode 57: Live From #Devoxx - Ben Evans and Martijn Verburg of the London JUG with Yara Senger of SouJava

  - by Roger Brinkley

  Tweet Live from Devoxx 11,  an interview with Ben Evans and Martijn Verburg from the London JUG along with  Yara Senger from the SouJava JUG on the JCP Executive Committee Elections, JSR 248, and Adopt-a-JSR program. Both the London JUG and SouJava JUG are JCP Standard Edition Executive Committee Members. Joining us this week on the Java All Star Developer Panel are Geertjan Wielenga, Principal Product Manger in Oracle Developer Tools; Stephen Chin, Java Champion and Java FX expert; and Antonio Goncalves, Paris JUG leader. Right-click or Control-click to download this MP3 file. You can also subscribe to the Java Spotlight Podcast Feed to get the latest podcast automatically. If you use iTunes you can open iTunes and subscribe with this link: Java Spotlight Podcast in iTunes. Show Notes News Netbeans 7.1 JDK 7 upgrade tools Netbeans First Patch Program OpenJFX approved as an OpenJDK project Devoxx France April 18-20, 2012 Events Nov 22-25, OTN Developer Days in the Nordics Nov 22-23, Goto Conference, Prague Dec 6-8, Java One Brazil, Sao Paulo Feature interview Ben Evans has lived in "Interesting Times" in technology - he was the lead performance testing engineer for the Google IPO, worked on the initial UK trials of 3G networks with BT, built award-winning websites for some of Hollywood's biggest hits of the 90s, rearchitected and reimagined technology helping some of the most vulnerable people in the UK and has worked on everything from some of the UKs very first ecommerce sites, through to multi-billion dollar currency trading systems. He helps to run the London Java Community, and represents the JUG on the Java SE/EE Executive Committee. His first book "The Well-Grounded Java Developer" (with Martijn Verburg) has just been published by Manning. Martijn Verburg (aka 'the Diabolical Developer') herds Cats in the Java/open source communities and is constantly humbled by the creative power to be found there. Currently he resides in London where he co-leads the London JUG (a JCP EC member), runs a couple of open source projects & drinks too much beer at his local pub. You can find him online moderating at the Javaranch or discussing (ranting?) subjects on the Prgorammers Stack Exchange site. Most recently he's become a regular speaker at conferences on Java, open source and software development and has recently wrapped up his first Manning title - "The Well-Grounded Java Developer" with his co-author Ben Evans. Yara Senger is the partner and director of teacher education and Globalcode, graduated from the University of Sao Paulo, Sao Carlos, has significant experience in Brazil and abroad in developing solutions to critical Java. She is the co-creator of Java programs Academy and Academy of Web Developer, accumulating over 1000 hours in the classroom teaching Java. She currently serves as the President of Sou Java. In this interview Ben, Martijn, and Yara talk about the JCP Executive Committee Elections, JSR 348, and the Adopt-a-JSR program. Mail Bag What's Cool Show Transcripts Transcript for this show is available here when available.

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• Tuxedo 11gR1 Client Server Affinity

  - by todd.little

  One of the major new features in Oracle Tuxedo 11gR1 is the ability to define an affinity between clients and servers. In previous releases of Tuxedo, the only way to ensure that multiple requests from a client went to the same server was to establish a conversation with tpconnect() and then use tpsend() and tprecv(). Although this works it has some drawbacks. First for single-threaded servers, the server is tied up for the entire duration of the conversation and cannot service other clients, an obvious scalability issue. I believe the more significant drawback is that the application programmer has to switch from the simple request/response model provided by tpcall() to the half duplex tpsend() and tprecv() calls used with conversations. Switching between the two typically requires a fair amount of redesign and recoding. The Client Server Affinity feature in Tuxedo 11gR1 allows by way of configuration an application to define affinities that can exist between clients and servers. This is done in the *SERVICES section of the UBBCONFIG file. Using new parameters for services defined in the *SERVICES section, customers can determine when an affinity session is created or deleted, the scope of the affinity, and whether requests can be routed outside the affinity scope. The AFFINITYSCOPE parameter can be MACHINE, GROUP, or SERVER, meaning that while the affinity session is in place, all requests from the client will be routed to the same MACHINE, GROUP, or SERVER. The creation and deletion of affinity is defined by the SESSIONROLE parameter and a service can be defined as either BEGIN, END, or NONE, where BEGIN starts an affinity session, END deletes the affinity session, and NONE does not impact the affinity session. Finally customers can define how strictly they want the affinity scope adhered to using the AFFINITYSTRICT parameter. If set to MANDATORY, all requests made during an affinity session will be routed to a server in the affinity scope. Thus if the affinity scope is SERVER, all subsequent tpcall() requests will be sent to the same server the affinity scope was established with. If the server doesn't offer that service, even though other servers do offer the service, the call will fail with TPNOENT. Setting AFFINITYSTRICT to PRECEDENT tells Tuxedo to try and route the request to a server in the affinity scope, but if that's not possible, then Tuxedo can try to route the request to servers out of scope. All of this begs the question, why? Why have this feature? There many uses for this capability, but the most common is when there is state that is maintained in a server, group of servers, or in a machine and subsequent requests from a client must be routed to where that state is maintained. This might be something as simple as a database cursor maintained by a server on behalf of a client. Alternatively it might be that the server has a connection to an external system and subsequent requests need to go back to the server that has that connection. A more sophisticated case is where a group of servers maintains some sort of cache in shared memory and subsequent requests need to be routed to where the cache is maintained. Although this last case might be able to be handled by data dependent routing, using client server affinity allows the cache to be partitioned dynamically instead of statically.

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• Running ODI 11gR1 Standalone Agent as a Windows Service

  - by fx.nicolas

  ODI 11gR1 introduces the capability to use OPMN to start and protect agent processes as services. Setting up the OPMN agent is covered in the following post and extensively in the ODI Installation Guide. Unfortunately, OPMN is not installed along with ODI, and ODI 10g users who are really at ease with the old Java Wrapper are a little bit puzzled by OPMN, and ask: "How can I simply set up the agent as a service?". Well... although the Tanuki Service Wrapper is no longer available for free, and the agentservice.bat script lost, you can switch to another service wrapper for the same result. For example, Yet Another Java Service Wrapper (YAJSW) is a good candidate. To configure a standalone agent with YAJSW: download YAJSW Uncompress the zip to a folder (called %YAJSW% in this example) Configure, start and test your standalone agent. Make sure that this agent is loaded with all the required libraries and drivers, as the service will not load dynamically the drivers added subsequently in the /drivers directory. Retrieve the PID of the agent process: Open Task Manager. Select View Select Columns Select the PID (Process Identifier) column, then click OK In the list of processes, find the java.exe process corresponding to your agent, and note its PID. Open a command line prompt in %YAJSW%/bat and run: genConfig.bat <your_pid> This command generates a wrapper configuration file for the agent. This file is called %YAJSW%/conf/wrapper.conf. Stop your agent. Edit the wrapper.conf file and modify the configuration of your service. For example, modify the display name and description of the service as shown in the example below. Important: Make sure to escape the commas in the ODI encoded passwords with a backslash! In the example below, the ODI_SUPERVISOR_ENCODED_PASS contained a comma character which had to be prefixed with a backslash. # Title to use when running as a console wrapper.console.title=\"AGENT\" #******************************************************************** # Wrapper Windows Service and Posix Daemon Properties #******************************************************************** # Name of the service wrapper.ntservice.name=AGENT_113 # Display name of the service wrapper.ntservice.displayname=ODI Agent # Description of the service wrapper.ntservice.description=Oracle Data Integrator Agent 11gR3 (11.1.1.3.0) ... # Escape the comma in the password with a backslash. wrapper.app.parameter.7 = -ODI_SUPERVISOR_ENCODED_PASS=fJya.vR5kvNcu9TtV\,jVZEt Execute your wrapped agent as console by calling in the command line prompt: runConsole.bat Check that your agent is running, and test it again.This command starts the agent with the configuration but does not install it yet as a service. To Install the agent as service call installService.bat From that point, you can view, start and stop the agent via the windows services. Et voilà ! Two final notes: - To modify the agent configuration, you must uninstall/reinstall the service. For this purpose, run the uninstallService.bat to uninstall it and play again the process above. - To be able to uninstall the agent service, you should keep a backup of the wrapper.conf file. This is particularly important when starting several services with the wrapper.

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• Talking JavaOne with Rock Star Simon Ritter

  - by Janice J. Heiss

  Oracle’s Java Technology Evangelist Simon Ritter is well known at JavaOne for his quirky and fun-loving sessions, which, this year include: CON4644 -- “JavaFX Extreme GUI Makeover” (with Angela Caicedo on how to improve UIs in JavaFX) CON5352 -- “Building JavaFX Interfaces for the Real World” (Kinect gesture tracking and mind reading) CON5348 -- “Do You Like Coffee with Your Dessert?” (Some cool demos of Java of the Raspberry Pi) CON6375 -- “Custom JavaFX Charts: (How to extend JavaFX Chart controls with some interesting things) I recently asked Ritter about the significance of the Raspberry Pi, the topic of one of his sessions that consists of a credit card-sized single-board computer developed in the UK with the intention of stimulating the teaching of basic computer science in schools. “I don't think there's one definitive thing that makes the RP significant,” observed Ritter, “but a combination of things that really makes it stand out. First, it's the cost: $35 for what is effectively a completely usable computer. OK, so you have to add a power supply, SD card for storage and maybe a screen, keyboard and mouse, but this is still way cheaper than a typical PC. The choice of an ARM processor is also significant, as it avoids problems like cooling (no heat sink or fan) and can use a USB power brick.  Combine these two things with the immense groundswell of community support and it provides a fantastic platform for teaching young and old alike about computing, which is the real goal of the project.”He informed me that he’ll be at the Raspberry Pi meetup on Saturday (not part of JavaOne). Check out the details here.JavaFX InterfacesWhen I asked about how JavaFX can interface with the real world, he said that there are many ways. “JavaFX provides you with a simple set of programming interfaces that can create complex, cool and compelling user interfaces,” explained Ritter. “Because it's just Java code you can combine JavaFX with any other Java library to provide data to display and control the interface. What I've done for my session is look at some of the possible ways of doing this using some of the amazing hardware that's available today at very low cost. The Kinect sensor has added a new dimension to gaming in terms of interaction; there's a Java API to access this so you can easily collect skeleton tracking data from it. Some clever people have also written libraries that can track gestures like swipes, circles, pushes, and so on. We use these to control parts of the UI. I've also experimented with a Neurosky EEG sensor that can in some ways ‘read your mind’ (well, at least measure some of the brain functions like attention and meditation).  I've written a Java library for this that I include as a way of controlling the UI. We're not quite at the stage of just thinking a command though!” Here Comes Java EmbeddedAnd what, from Ritter’s perspective, is the most exciting thing happening in the world of Java today? “I think it's seeing just how Java continues to become more and more pervasive,” he said. “One of the areas that is growing rapidly is embedded systems.  We've talked about the ‘Internet of things’ for many years; now it's finally becoming a reality. With the ability of more and more devices to include processing, storage and networking we need an easy way to write code for them that's reliable, has high performance, and is secure. Java fits all these requirements. With Java Embedded being a conference within a conference, I'm very excited about the possibilities of Java in this space.”Check out Ritter’s sessions or say hi if you run into him.

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• How to prepare for an interview presentation!

  - by Tim Koekkoek

  During an interview process you might be asked to prepare a presentation as one of the steps in the recruitment process. Below, we want to give you some tips to help you prepare for what might be considered a daunting aspect of a recruitment process. Main purpose of the presentation Always keep in mind the main purpose of what the presentation is meant to convey. Generally speaking, an interview presentation is for the company to check if you have the ability to represent and sell the organization (and yourself), to the internal and external stakeholders in the position you are applying for. A presentation is often also part of the recruitment process to check whether you can structure and explain your experience and thoughts in a convincing manner. If you are unsure about the purpose of the presentation, feel free to ask your recruiter for more information. Preparation As with every task you do, preparation is key, so is the case with an interview presentation. It is important to know who your audience is. You have to adapt your presentation to your audience, ensuring that you are presenting the facts which they would want to hear. Furthermore, make sure you practice your presentation beforehand; this will make you more confident in your presenting skills. Also, estimate the length of your presentation as presentations or pitches during the recruitment process are often capped to a certain time limit. Structure Every presentation should have a beginning, middle and an end. Make sure you give an overview of your presentation and tell the audience what they can expect. Your presentation should have a logical order and a clear message. Always build up to your key message with strong arguments and evidence. When speaking about the topic, make sure you convey your points with conviction. Also be sure you believe the message you bring forward, if you don’t believe it yourself, then the audience definitely won’t! Delivery When you think back on successful presentations you have seen, the presenter was most likely always standing up. So if asked to do a presentation, follow this example and make sure you stand up as well. Standing up when you are doing your presentation shows confidence and control. Another important aspect in the delivery of the presentation is to relax and speak slowly and with enough volume for the audience to hear you. Speaking slowly allows the audience the time to absorb the information you are providing to them. Visual Using PowerPoint, or an equivalent, makes it very easy to have a visually attractive presentation. Make sure however that you take into account that the visual aids you use are there to support you, not for you to read word for word what is on the slides! Questions When starting your presentation, it is a good idea to tell your audience that you will deal with any questions they might have at the end of the presentation. This way it doesn’t interrupt your train of thought and the flow of your presentation. Answering questions at the end may give you additional opportunities to further expand on your facts in the topic. Some people might play the “devil’s advocate” role and confront you with opposing opinions, if this is the case, take your time to reiterate your points and remain professional in your response. A good way to deal with this is to start interacting with other members of the audience and ask for their opinions, so it will become a group discussion. This will also shows strong leadership skills, as you are open to discuss and ask for other opinions. If you are interested in more tips and tricks for your interview process, have a look at Competency Based Interview Tips and How to prepare for a Telephone Interview. For more information about Oracle and our vacancies, please visit our Facebook community and our careers website.

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• Failure Sucks, But Does It Have To?

  - by steve.diamond

  Hey Folks--It's "elephant in the room" time. Imagine a representative from a CRM VENDOR discussing CRM FAILURES. Well. I recently saw this blog post from Michael Krigsman on "six ways CRM projects go wrong." Now, I know this may come off defensive, but my comments apply to ALL CRM vendors, not just Oracle. As I perused the list, I couldn't find any failures related to technology. They all seemed related to people or process. Now, this isn't about finger pointing, or impugning customers. I love customers! And when they fail, WE fail. Although I sit in the cheap seats, i.e., I haven't funded any multi-million dollar CRM initiatives lately, I kept wondering how to convert the perception of failure as something that ends and is never to be mentioned again (see Michael's reason #4), to something that one learns from and builds upon. So to continue my tradition of speaking in platitudes, let me propose the following three tenets: 1) Try and get ahead of your failures while they're very very small. 2) Immediately assess what you can learn from those failures. 3) With more than 15 years of CRM deployments, seek out those vendors that have a track record both in learning from "misses" and in supporting MANY THOUSANDS of CRM successes at companies of all types and sizes. Now let me digress briefly with an unpleasant (for me, anyway) analogy. I really don't like flying. Call it 'fear of dying' or 'fear of no control.' Whatever! I've spoken with quite a few commercial pilots over the years, and they reassure me that there are multiple failures on most every flight. We as passengers just don't know about them. Most of them are too miniscule to make a difference, and most of them are "caught" before they become LARGER failures. It's typically the mid-sized to colossal failures we hear about, and a significant percentage of those are due to human error. What's the point? I'd propose that organizations consider the topic of FAILURE in five grades. On one end, FAILURE Grade 1 is a minor/miniscule failure. On the other end, FAILURE Grade 5 is a colossal failure A Grade 1 CRM FAILURE could be that a particular interim milestone was missed. Why? What can we learn from that? How can we prevent that from happening as we proceed through the project? Individual organizations will need to define their own Grade 2 and Grade 3 failures. The opportunity is to keep those Grade 3 failures from escalating any further. Because honestly, a GRADE 5 failure may not be recoverable. It could result in a project being pulled, countless amounts of hours and dollars lost, and jobs lost. We don't want to go there. In closing, I want to thank Michael for opening my eyes up to the world of "color," versus thinking of failure as both "black and white" and a dead end road that organizations can't learn from and avoid discussing like the plague.

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• OBIEE 11.1.1 - How to Enable Caching in Internet Information Services (IIS) 7.0+

  - by Ahmed A

  Follow these steps to configure static file caching and content expiration if you are using IIS 7.0 Web Server with Oracle Business Intelligence. Tip: Install IIS URL Rewrite that enables Web administrators to create powerful outbound rules. Following are the steps to set up static file caching for IIS 7.0+ Web Server: 1. In “web.config” file for OBIEE static files virtual directory (ORACLE_HOME/bifoundation/web/app) add the following highlight in bold the outbound rule for caching:<?xml version="1.0" encoding="UTF-8"?><configuration>    <system.webServer>        <urlCompression doDynamicCompression="true" />        <rewrite>            <outboundRules>                <rule name="header1" preCondition="FilesMatch" patternSyntax="Wildcard">                    <match serverVariable="RESPONSE_CACHE_CONTROL" pattern="*" />                    <action type="Rewrite" value="max-age=604800" />                </rule>                <preConditions>    <preCondition name="FilesMatch">                        <add input="{RESPONSE_CONTENT_TYPE}" pattern="^text/css|^text/x-javascript|^text/javascript|^image/gif|^image/jpeg|^image/png" />                    </preCondition>                </preConditions>            </outboundRules>        </rewrite>    </system.webServer></configuration>2. Restart IIS. Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;}

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• Creating and using VM Groups in VirtualBox

  - by Fat Bloke

  With VirtualBox 4.2 we introduced the Groups feature which allows you to organize and manage your guest virtual machines collectively, rather than individually. Groups are quite a powerful concept and there are a few nice features you may not have discovered yet, so here's a bit more information about groups, and how they can be used.... Creating a group Groups are just ad hoc collections of virtual machines and there are several ways of creating a group: In the VirtualBox Manager GUI: Drag one VM onto another to create a group of those 2 VMs. You can then drag and drop more VMs into that group; Select multiple VMs (using Ctrl or Shift and click) then  select the menu: Machine...Group; or   press Cmd+U (Mac), or Ctrl+U(Windows); or right-click the multiple selection and choose Group, like this: From the command line: Group membership is an attribute of the vm so you can modify the vm to belong in a group. For example, to put the vm "Ubuntu" into the group "TestGroup" run this command: VBoxManage modifyvm "Ubuntu" --groups "/TestGroup" Deleting a Group Groups can be deleted by removing a group attribute from all the VMs that constitute that group. To do this via the command-line the syntax is: VBoxManage modifyvm "Ubuntu" --groups "" In the VirtualBox Manager, this is more easily done by right-clicking on a group header and selecting "Ungroup", like this: Multiple Groups Now that we understand that Groups are just attributes of VMs, it can be seen that VMs can exist in multiple groups, for example, doing this: VBoxManage modifyvm "Ubuntu" --groups "/TestGroup","/ProjectX","/ProjectY" Results in: Or via the VirtualBox Manager, you can drag VMs while pressing the Alt key (Mac) or Ctrl (other platforms). Nested Groups Just like you can drag VMs around in the VirtualBox Manager, you can also drag whole groups around. And dropping a group within a group creates a nested group. Via the command-line, nested groups are specified using a path-like syntax, like this: VBoxManage modifyvm "Ubuntu" --groups "/TestGroup/Linux" ...which creates a sub-group and puts the VM in it. Navigating Groups In the VirtualBox Manager, Groups can be collapsed and expanded by clicking on the carat to the left in the Group Header. But you can also Enter and Leave groups too, either by using the right-arrow/left-arrow keys, or by clicking on the carat on the right hand side of the Group Header, like this: . ..leading to a view of just the Group contents. You can Leave or return to the parent in the same way. Don't worry if you are imprecise with your clicking, you can use a double click on the entire right half of the Group Header to Enter a group, and the left half to Leave a group. Double-clicking on the left half when you're at the top will roll-up or collapse the group.   Group Operations The real power of Groups is not simply in arranging them prettily in the Manager. Rather it is about performing collective operations on them, once you have grouped them appropriately. For example, let's say that you are working on a project (Project X) where you have a solution stack of: Database VM, Middleware/App VM, and  a couple of client VMs which you use to test your app. With VM Groups you can start the whole stack with one operation. Select the Group Header, and choose Start: The full list of operations that may be performed on Groups are: Start Starts from any state (boot or resume) Start VMs in headless mode (hold Shift while starting) Pause Reset Close Save state Send Shutdown signal Poweroff Discard saved state Show in filesystem Sort Conclusion Hopefully we've shown that the introduction of VM Groups not only makes Oracle VM VirtualBox pretty, but pretty powerful too.  - FB 

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• jtreg update, March 2012

  - by jjg

  There is a new update for jtreg 4.1, b04, available. The primary changes have been to support faster and more reliable test runs, especially for tests in the jdk/ repository. [ For users inside Oracle, there is preliminary direct support for gathering code coverage data using jcov while running tests, and for generating a coverage report when all the tests have been run. ] -- jtreg can be downloaded from the OpenJDK jtreg page: http://openjdk.java.net/jtreg/. Scratch directories On platforms like Windows, if a test leaves a file open when the test is over, that can cause a problem for downstream tests, because the scratch directory cannot be emptied beforehand. This is addressed in agentvm mode by discarding any agents using that scratch directory and starting new agents using a new empty scratch directory. Successive directives use suffices _1, _2, etc. If you see such directories appearing in the work directory, that is an indication that files were left open in the preceding directory in the series. Locking support Some tests use shared system resources such as fixed port numbers. This causes a problem when running tests concurrently. So, you can now mark a directory such that all the tests within all such directories will be run sequentially, even if you use -concurrency:N on the command line to run the rest of the tests in parallel. This is seen as a short term solution: it is recommended that tests not use shared system resources whenever possible. If you are running multiple instances of jtreg on the same machine at the same time, you can use a new option -lock:file to specify a file to be used for file locking; otherwise, the locking will just be within the JVM used to run jtreg. "autovm mode" By default, if no options to the contrary are given on the command line, tests will be run in othervm mode. Now, a test suite can be marked so that the default execution mode is "agentvm" mode. In conjunction with this, you can now mark a directory such that all the tests within that directory will be run in "othervm" mode. Conceptually, this is equivalent to putting /othervm on every appropriate action on every test in that directory and any subdirectories. This is seen as a short term solution: it is recommended tests be adapted to use agentvm mode, or use "@run main/othervm" explicitly. Info in test result files The user name and jtreg version info are now stored in the properties near the beginning of the .jtr file. Build The makefiles used to build and test jtreg have been reorganized and simplified. jtreg is now using JT Harness version 4.4. Other jtreg provides access to GNOME_DESKTOP_SESSION_ID when set. jtreg ensures that shell tests are given an absolute path for the JDK under test. jtreg now honors the "first sentence rule" for the description given by @summary. jtreg saves the default locale before executing a test in samevm or agentvm mode, and restores it afterwards. Bug fixes jtreg tried to execute a test even if the compilation failed in agentvm mode because of a JVM crash. jtreg did not correctly handle the -compilejdk option. Acknowledgements Thanks to Alan, Amy, Andrey, Brad, Christine, Dima, Max, Mike, Sherman, Steve and others for their help, suggestions, bug reports and for testing this latest version.

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• How do I deal with a third party application that has embedded hints that result in a sub-optimal execution plan in my environment?

  - by Maria Colgan

  I have gotten many variations on this question recently as folks begin to upgrade to Oracle Database 11g and there have been several posts on this blog and on others describing how to use SQL Plan Management (SPM) so that a non-hinted SQL statement can use a plan generated with hints. But what if the hint is supplied in the third party application and is causing performance regressions on your system? You can actually use a very similar technique to the ones shown before but this time capture the un-hinted plan and have the hinted SQL statement use that plan instead. Below is an example that demonstrates the necessary steps. 1. We will begin by running the hinted statement 2. After examining the execution plan we can see it is suboptimal because of a bad join order. 3. In order to use SPM to correct the problem we must create a SQL plan baseline for the statement. In order to create a baseline we will need the SQL_ID for the hinted statement. Easy place to get it is in V$SQL. 4. A SQL plan baseline can be created using a SQL_ID and DBMS_SPM.LOAD_PLANS_FROM_CURSOR_CACHE. This will capture the existing plan for this SQL_ID from the shared pool and store in the SQL plan baseline. 5. We can check the SQL plan baseline got created successfully by querying DBA_SQL_PLAN_BASELINES. 6. When you manually create a SQL plan baseline the first plan added is automatically accepted and enabled. We know that the hinted plan is poorly performing plan so we will disable it using DBMS_SPM.ALTER_SQL_PLAN_BASELINE. Disabling the plan tells the optimizer that this plan not a good plan, however since there is no alternative plan at this point the optimizer will still continue to use this plan until we provide a better one. 7. Now let's run the statement without the hint. 8. Looking at the execution plan we can see that the join order is different. The plan without the hint also has a lower cost (3X lower), which indicates it should perform better. 9. In order to map the un-hinted plan to the hinted SQL statement we need to add the plan to the SQL plan baseline for the hinted statement. We can do this using DBMS_SPM.LOAD_PLANS_FROM_CURSOR_CACHE but we will need the SQL_ID and  PLAN_HASH_VALUE for the non-hinted statement, which we can find in V$SQL. 10. Now we can add the non-hinted plan to the SQL plan baseline of the hinted SQL statement using DBMS_SPM.LOAD_PLANS_FROM_CURSOR_CACHE. This time we need to pass a few more arguments. We will use the SQL_ID and PLAN_HASH_VALUE of the non-hinted statement but the SQL_HANDLE of the hinted statement. 11. The SQL plan baseline for our statement now has two plans. But only the newly added plan (SQL_PLAN_gbpcg3f67pc788a6d8911) is enabled and accepted. This tells the Optimizer that this is the plan it should use for this statement. We can confirm that the correct plan (non-hinted) will be selected for the statement from now on by re-executing the hinted statement and checking its execution plan.

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• Weblogic 10.3.4 (PS3) nodemanager wont start?

  - by angelo.santagata

  Hi all, well Im back from Australia and one of the things which happened was Oracle announced the PS3 release of oracles SOA & Webcenter products have been released. Now I normally use pre-installed images but I always like to install the products at least once that way I get to see its installation caveats.. Here’s one. Installation on Windows 7 64bit, 64bit JVM, generic weblogic Server installer. All worked fine, EXCEPT I cant start the node manager, I get the following error <08-Feb-2011 17:16:48> <INFO> <Loading domains file: D:\products\wls1034\WLSERV~1.3\common\NODEMA~1\nodemanager.domains> <08-Feb-2011 17:16:48> <SEVERE> <Fatal error in node manager server> weblogic.nodemanager.common.ConfigException: Native version is enabled but nodemanager native library could not be loaded     at weblogic.nodemanager.server.NMServerConfig.initProcessControl(NMServerConfig.java:249)     at weblogic.nodemanager.server.NMServerConfig.<init>(NMServerConfig.java:190)     at weblogic.nodemanager.server.NMServer.init(NMServer.java:182)     at weblogic.nodemanager.server.NMServer.<init>(NMServer.java:148)     at weblogic.nodemanager.server.NMServer.main(NMServer.java:390)     at weblogic.NodeManager.main(NodeManager.java:31) Caused by: java.lang.UnsatisfiedLinkError: D:\products\wls1034\wlserver_10.3\server\native\win\32\nodemanager.dll: Can't load IA 32-bit .dll on a AMD 64-bit platform     at java.lang.ClassLoader$NativeLibrary.load(Native Method)     at java.lang.ClassLoader.loadLibrary0(ClassLoader.java:1803)     at java.lang.ClassLoader.loadLibrary(ClassLoader.java:1728)     at java.lang.Runtime.loadLibrary0(Runtime.java:823)     at java.lang.System.loadLibrary(System.java:1028)     at weblogic.nodemanager.util.WindowsProcessControl.<init>(WindowsProcessControl.java:17)     at weblogic.nodemanager.util.ProcessControlFactory.getProcessControl(ProcessControlFactory.java:24)     at weblogic.nodemanager.server.NMServerConfig.initProcessControl(NMServerConfig.java:247)     ... 5 more Ok it appears that the node manager has gotten confused and thinks this is a 32bit install of Weblogic Server whereas it is the 64bit install.. Might have been something I did, or didnt do, on installation (e.g. –d64 on the jvm command line), however the workaround is pretty easy. 1. Create a file called nodemanager.properties in %WL_HOME%\common\nodemanager on my machine it was D:\products\wls1034\wlserver_10.3\common\nodemanager 2. Add the following line to it NativeVersionEnabled=false 3. And start it up!, this will force it not to use .DLL files and use emulation/non native methods instead..  

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