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• Talking JavaOne with Rock Star Martijn Verburg

  - by Janice J. Heiss

  JavaOne Rock Stars, conceived in 2005, are the top-rated speakers at each JavaOne Conference. They are awarded by their peers, who, through conference surveys, recognize them for their outstanding sessions and speaking ability. Over the years many of the world’s leading Java developers have been so recognized. Martijn Verburg has, in recent years, established himself as an important mover and shaker in the Java community. His “Diabolical Developer” session at the JavaOne 2011 Conference got people’s attention by identifying some of the worst practices Java developers are prone to engage in. Among other things, he is co-leader and organizer of the thriving London Java User Group (JUG) which has more than 2,500 members, co-represents the London JUG on the Executive Committee of the Java Community Process, and leads the global effort for the Java User Group “Adopt a JSR” and “Adopt OpenJDK” programs. Career highlights include overhauling technology stacks and SDLC practices at Mizuho International, mentoring Oracle on technical community management, and running off shore development teams for AIG. He is currently CTO at jClarity, a start-up focusing on automating optimization for Java/JVM related technologies, and Product Advisor at ZeroTurnaround. He co-authored, with Ben Evans, "The Well-Grounded Java Developer" published by Manning and, as a leading authority on technical team optimization, he is in high demand at major software conferences.Verburg is participating in five sessions, a busy man indeed. Here they are: CON6152 - Modern Software Development Antipatterns (with Ben Evans) UGF10434 - JCP and OpenJDK: Using the JUGs’ “Adopt” Programs in Your Group (with Csaba Toth) BOF4047 - OpenJDK Building and Testing: Case Study—Java User Group OpenJDK Bugathon (with Ben Evans and Cecilia Borg) BOF6283 - 101 Ways to Improve Java: Why Developer Participation Matters (with Bruno Souza and Heather Vancura-Chilson) HOL6500 - Finding and Solving Java Deadlocks (with Heinz Kabutz, Kirk Pepperdine, Ellen Kraffmiller and Henri Tremblay) When I asked Verburg about the biggest mistakes Java developers tend to make, he listed three: A lack of communication -- Software development is far more a social activity than a technical one; most projects fail because of communication issues and social dynamics, not because of a bad technical decision. Sadly, many developers never learn this lesson. No source control -- Developers simply storing code in local filesystems and emailing code in order to integrate Design-driven Design -- The need for some developers to cram every design pattern from the Gang of Four (GoF) book into their source code All of which raises the question: If these practices are so bad, why do developers engage in them? “I've seen a wide gamut of reasons,” said Verburg, who lists them as: * They were never taught at high school/university that their bad habits were harmful.* They weren't mentored in their first professional roles.* They've lost passion for their craft.* They're being deliberately malicious!* They think software development is a technical activity and not a social one.* They think that they'll be able to tidy it up later.A couple of key confusions and misconceptions beset Java developers, according to Verburg. “With Java and the JVM in particular I've seen a couple of trends,” he remarked. “One is that developers think that the JVM is a magic box that will clean up their memory, make their code run fast, as well as make them cups of coffee. The JVM does help in a lot of cases, but bad code can and will still lead to terrible results! The other trend is to try and force Java (the language) to do something it's not very good at, such as rapid web development. So you get a proliferation of overly complex frameworks, libraries and techniques trying to get around the fact that Java is a monolithic, statically typed, compiled, OO environment. It's not a Golden Hammer!”I asked him about the keys to running a good Java User Group. “You need to have a ‘Why,’” he observed. “Many user groups know what they do (typically, events) and how they do it (the logistics), but what really drives users to join your group and to stay is to give them a purpose. For example, within the LJC we constantly talk about the ‘Why,’ which in our case is several whys:* Re-ignite the passion that developers have for their craft* Raise the bar of Java developers in London* We want developers to have a voice in deciding the future of Java* We want to inspire the next generation of tech leaders* To bring the disparate tech groups in London together* So we could learn from each other* We believe that the Java ecosystem forms a cornerstone of our society today -- we want to protect that for the futureLooking ahead to Java 8 Verburg expressed excitement about Lambdas. “I cannot wait for Lambdas,” he enthused. “Brian Goetz and his group are doing a great job, especially given some of the backwards compatibility that they have to maintain. It's going to remove a lot of boiler plate and yet maintain readability, plus enable massive scaling.”Check out Martijn Verburg at JavaOne if you get a chance, and, stay tuned for a longer interview yours truly did with Martijn to be publish on otn/java some time after JavaOne.

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• The Virtues and Challenges of Implementing Basel III: What Every CFO and CRO Needs To Know

  - by Jenna Danko

  The Basel Committee on Banking Supervision (BCBS) is a group tasked with providing thought-leadership to the global banking industry.  Over the years, the BCBS has released volumes of guidance in an effort to promote stability within the financial sector.  By effectively communicating best-practices, the Basel Committee has influenced financial regulations worldwide.  Basel regulations are intended to help banks: More easily absorb shocks due to various forms of financial-economic stress Improve risk management and governance Enhance regulatory reporting and transparency In June 2011, the BCBS released Basel III: A global regulatory framework for more resilient banks and banking systems.  This new set of regulations included many enhancements to previous rules and will have both short and long term impacts on the banking industry.  Some of the key features of Basel III include: A stronger capital base More stringent capital standards and higher capital requirements Introduction of capital buffers  Additional risk coverage Enhanced quantification of counterparty credit risk Credit valuation adjustments  Wrong  way risk  Asset Value Correlation Multiplier for large financial institutions Liquidity management and monitoring Introduction of leverage ratio Even more rigorous data requirements To implement these features banks need to embark on a journey replete with challenges. These can be categorized into three key areas: Data, Models and Compliance. Data Challenges Data quality - All standard dimensions of Data Quality (DQ) have to be demonstrated.  Manual approaches are now considered too cumbersome and automation has become the norm. Data lineage - Data lineage has to be documented and demonstrated.  The PPT / Excel approach to documentation is being replaced by metadata tools.  Data lineage has become dynamic due to a variety of factors, making static documentation out-dated quickly.  Data dictionaries - A strong and clean business glossary is needed with proper identification of business owners for the data.  Data integrity - A strong, scalable architecture with work flow tools helps demonstrate data integrity.  Manual touch points have to be minimized.   Data relevance/coverage - Data must be relevant to all portfolios and storage devices must allow for sufficient data retention.  Coverage of both on and off balance sheet exposures is critical.   Model Challenges Model development - Requires highly trained resources with both quantitative and subject matter expertise. Model validation - All Basel models need to be validated. This requires additional resources with skills that may not be readily available in the marketplace.  Model documentation - All models need to be adequately documented.  Creation of document templates and model development processes/procedures is key. Risk and finance integration - This integration is necessary for Basel as the Allowance for Loan and Lease Losses (ALLL) is calculated by Finance, yet Expected Loss (EL) is calculated by Risk Management – and they need to somehow be equal.  This is tricky at best from an implementation perspective.  Compliance Challenges Rules interpretation - Some Basel III requirements leave room for interpretation.  A misinterpretation of regulations can lead to delays in Basel compliance and undesired reprimands from supervisory authorities. Gap identification and remediation - Internal identification and remediation of gaps ensures smoother Basel compliance and audit processes.  However business lines are challenged by the competing priorities which arise from regulatory compliance and business as usual work.  Qualification readiness - Providing internal and external auditors with robust evidence of a thorough examination of the readiness to proceed to parallel run and Basel qualification  In light of new regulations like Basel III and local variations such as the Dodd Frank Act (DFA) and Comprehensive Capital Analysis and Review (CCAR) in the US, banks are now forced to ask themselves many difficult questions.  For example, executives must consider: How will Basel III play into their Risk Appetite? How will they create project plans for Basel III when they haven’t yet finished implementing Basel II? How will new regulations impact capital structure including profitability and capital distributions to shareholders? After all, new regulations often lead to diminished profitability as well as an assortment of implementation problems as we discussed earlier in this note.  However, by requiring banks to focus on premium growth, regulators increase the potential for long-term profitability and sustainability.  And a more stable banking system: Increases consumer confidence which in turn supports banking activity  Ensures that adequate funding is available for individuals and companies Puts regulators at ease, allowing bankers to focus on banking Stability is intended to bring long-term profitability to banks.  Therefore, it is important that every banking institution takes the steps necessary to properly manage, monitor and disclose its risks.  This can be done with the assistance and oversight of an independent regulatory authority.  A spectrum of banks exist today wherein some continue to debate and negotiate with regulators over the implementation of new requirements, while others are simply choosing to embrace them for the benefits I highlighted above. Do share with me how your institution is coping with and embracing these new regulations within your bank. Dr. Varun Agarwal is a Principal in the Banking Practice for Capgemini Financial Services.  He has over 19 years experience in areas that span from enterprise risk management, credit, market, and to country risk management; financial modeling and valuation; and international financial markets research and analyses.

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• The JavaOne 2012 Sunday Technical Keynote

  - by Janice J. Heiss

  At the JavaOne 2012 Sunday Technical Keynote, held at the Masonic Auditorium, Mark Reinhold, Chief Architect, Java Platform Group, stated that they were going to do things a bit differently--"rather than 20 minutes of SE, and 20 minutes of FX, and 20 minutes of EE, we're going to mix it up a little," he said. "For much of it, we're going to be showing a single application, to show off some of the great work that's been done in the last year, and how Java can scale well--from the cloud all the way down to some very small embedded devices, and how JavaFX scales right along with it."Richard Bair and Jasper Potts from the JavaFX team demonstrated a JavaOne schedule builder application with impressive navigation, animation, pop-overs, and transitions. They noted that the application runs seamlessly on either Windows or Macs, running Java 7. They then ran the same application on an Ubuntu Linux machine--"it just works," said Blair.The JavaFX duo next put the recently released JavaFX Scene Builder through its paces -- dragging and dropping various image assets to build the application's UI, then fine tuning a CSS file for the finished look and feel. Among many other new features, in the past six months, JavaFX has released support for H.264 and HTTP live streaming, "so you can get all the real media playing inside your JavaFX application," said Bair. And in their developer preview builds of JavaFX 8, they've now split the rendering thread from the UI thread, to better take advantage of multi-core architectures.Next, Brian Goetz, Java Language Architect, explored language and library features planned for Java SE 8, including Lambda expressions and better parallel libraries. These feature changes both simplify code and free-up libraries to more effectively use parallelism. "It's currently still a lot of work to convert an application from serial to parallel," noted Goetz.Reinhold had previously boasted of Java scaling down to "small embedded devices," so Blair and Potts next ran their schedule builder application on a small embedded PandaBoard system with an OMAP4 chip set. Connected to a touch screen, the embedded board ran the same JavaFX application previously seen on the desktop systems, but now running on Java SE Embedded. (The systems can be seen and tried at four of the nearby JavaOne hotels.) Bob Vandette, Java Embedded Architect, then displayed a $25 Rasberry Pi ARM-based system running Java SE Embedded, noting the even greater need for the platform independence of Java in such highly varied embedded processor spaces. Reinhold and Vandetta discussed Project Jigsaw, the planned modularization of the Java SE platform, and its deferral from the Java 8 release to Java 9. Reinhold demonstrated the promise of Jigsaw by running a modularized demo version of the earlier schedule builder application on the resource constrained Rasberry Pi system--although the demo gods were not smiling down, and the application ultimately crashed.Reinhold urged developers to become involved in the Java 8 development process--getting the weekly builds, trying out their current code, and trying out the new features:http://openjdk.java.net/projects/jdk8http://openjdk.java.net/projects/jdk8/spechttp://jdk8.java.netFrom there, Arun Gupta explored Java EE. The primary themes of Java EE 7, Gupta stated, will be greater productivity, and HTML 5 functionality (WebSocket, JSON, and HTML 5 forms). Part of the planned productivity increase of the release will come from a reduction in writing boilerplate code--through the widespread use of dependency injection in the platform, along with default data sources and default connection factories. Gupta noted the inclusion of JAX-RS in the web profile, the changes and improvements found in JMS 2.0, as well as enhancements to Java EE 7 in terms of JPA 2.1 and EJB 3.2. GlassFish 4 is the reference implementation of Java EE 7, and currently includes WebSocket, JSON, JAX-RS 2.0, JMS 2.0, and more. The final release is targeted for Q2, 2013. Looking forward to Java EE 8, Gupta explored how the platform will provide multi-tenancy for applications, modularity based on Jigsaw, and cloud architecture. Meanwhile, Project Avatar is the group's incubator project for designing an end-to-end framework for building HTML 5 applications. Santiago Pericas-Geertsen joined Gupta to demonstrate their "Angry Bids" auction/live-bid/chat application using many of the enhancements of Java EE 7, along with an Avatar HTML 5 infrastructure, and running on the GlassFish reference implementation.Finally, Gupta covered Project Easel, an advanced tooling capability in NetBeans for HTML5. John Ceccarelli, NetBeans Engineering Director, joined Gupta to demonstrate creating an HTML 5 project from within NetBeans--formatting the project for both desktop and smartphone implementations. Ceccarelli noted that NetBeans 7.3 beta will be released later this week, and will include support for creating such HTML 5 project types. Gupta directed conference attendees to: http://glassfish.org/javaone2012 for everything about Java EE and GlassFish at JavaOne 2012.

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• Customer Engagement: Are Your Customers Engaged With Your Brands?

  - by Michael Snow

  Engaging Customers is Critical for Business Growth This week we'll be spending some time looking at Customer Engagement. We all have stories about how we try to engage our customers better than ever before.  We all know that successfully engaging customers is critical to an organization’s business success. We also know that engaging our customers is more challenging today than ever before. There is so much noise to compete with for getting anyone's attention. Over the last decade and a half we’ve watched as the online channel became a primary one for conducting our business and even managing our lives. And during this whole process or evolution, the customer journey has grown increasingly complex. Customers themselves have assumed increasing power and influence over the purchase process and for setting the tone and pace of the relationships they have with brands and you see the evidence of this in the really high expectations that customers have today. They expect brand experiences that are personalized and relevant -- In other words they want experiences that demonstrate that the brand understands their interests, preferences and past interactions with them. They also expect their experience with a brand and the community surrounding it to be social and interactive – it’s no longer acceptable to have a static, one-way dialogue with your customer base or to fail to connect your customers with fellow customers, or with your employees and partners. And on top of all this, customers expect us to deliver this rich and engaging, personalized and interactive experience, in a consistent way across a variety of channels including web, mobile and social channels or even offline venues such as in-store or via a call center. And as a result, we see that delivery on these expectations and successfully engaging your customers is a great challenge today. Customers expect a personal, engaging and consistent online customer experience. Today’s consumer expects to engage with your brand and the community surrounding it in an interactive and social way. Customers have come to expect a lot for the online customer experience.  ·        They expect it to be personal: o   Accessible:  - Regardless of my device  Via my existing online identities  o   Relevant:  Content that interests me  o   Customized:  To be able to tailor my online experience  ·        They expect it to be engaging: o   Social:  So I can share content with my social networks  o   Intuitive:  To easily find what I need   o   Interactive:  So I can interact with online communities And they expect it to be consistent across the online experience – so you better have your brand and information ducks in a row. These expectations are not only limited to your customers by any means. Your employees (and partners) are also expecting to be empowered with engagement tools across their internal and external communications and interactions with customers, partners and other employees. We had a great conversation with Ted Schadler from Forrester Research entitled: "Mobile is the New Face of Engagement" that is now available On-Demand. Take a look at all the webcasts available to watch from our Social Business Thought Leader Series. Social capabilities have become so pervasive and changed customers’ expectations for their online experiences. The days of one-direction communication with customers are at an end. Today’s customers expect to engage in a dialogue with your brand and the community surrounding it in an interactive and social way. You have at a very short window of opportunity to engage a customer before they go to another site in their pursuit of information, product, or services. In fact, customers who engage with brands via social media tend to spend more that customers who don’t, between 20% and 40% more.  And your customers are also increasingly influenced by their social networks too – 40% of consumers say they factor in Facebook recommendations when making purchasing decisions.  This means a few different things for today’s businesses. Incorporating forms of social interaction such as commenting or reviews as well as tightly integrating your online experience with your customers’ social networking experiences into the online customer experience are crucial for maintaining the eyeballs on your desired pages. --- Notes/Sources: 93% - Cone Finds that Americans Expect Companies to Have a Presence in Social Media - http://www.coneinc.com/content1182 40% of consumers factor in Facebook recommendations when making decisions about purchasing (Increasing Campaign Effectiveness with Social Media, Syncapse, March 2011) 20%-40% - Customers who engage with a company via social media spend this percentage more with that company than other customers (Source: Bain & Company Report – Putting Social Media to Work)

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• Using R to Analyze G1GC Log Files

  - by user12620111

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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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• Solaris 11.1 changes building of code past the point of __NORETURN

  - by alanc

  While Solaris 11.1 was under development, we started seeing some errors in the builds of the upstream X.Org git master sources, such as: "Display.c", line 65: Function has no return statement : x_io_error_handler "hostx.c", line 341: Function has no return statement : x_io_error_handler from functions that were defined to match a specific callback definition that declared them as returning an int if they did return, but these were calling exit() instead of returning so hadn't listed a return value. These had been generating warnings for years which we'd been ignoring, but X.Org has made enough progress in cleaning up code for compiler warnings and static analysis issues lately, that the community turned up the default error levels, including the gcc flag -Werror=return-type and the equivalent Solaris Studio cc flags -v -errwarn=E_FUNC_HAS_NO_RETURN_STMT, so now these became errors that stopped the build. Yet on Solaris, gcc built this code fine, while Studio errored out. Investigation showed this was due to the Solaris headers, which during Solaris 10 development added a number of annotations to the headers when gcc was being used for the amd64 kernel bringup before the Studio amd64 port was ready. Since Studio did not support the inline form of these annotations at the time, but instead used #pragma for them, the definitions were only present for gcc. To resolve this, I fixed both sides of the problem, so that it would work for building new X.Org sources on older Solaris releases or with older Studio compilers, as well as fixing the general problem before it broke more software building on Solaris. To the X.Org sources, I added the traditional Studio #pragma does_not_return to recognize that functions like exit() don't ever return, in patches such as this Xserver patch. Adding a dummy return statement was ruled out as that introduced unreachable code errors from compilers and analyzers that correctly realized you couldn't reach that code after a return statement. And on the Solaris 11.1 side, I updated the annotation definitions in <sys/ccompile.h> to enable for Studio 12.0 and later compilers the annotations already existing in a number of system headers for functions like exit() and abort(). If you look in that file you'll see the annotations we currently use, though the forms there haven't gone through review to become a Committed interface, so may change in the future. Actually getting this integrated into Solaris though took a bit more work than just editing one header file. Our ELF binary build comparison tool, wsdiff, actually showed a large number of differences in the resulting binaries due to the compiler using this information for branch prediction, code path analysis, and other possible optimizations, so after comparing enough of the disassembly output to be comfortable with the changes, we also made sure to get this in early enough in the release cycle so that it would get plenty of test exposure before the release. It also required updating quite a bit of code to avoid introducing new lint or compiler warnings or errors, and people building applications on top of Solaris 11.1 and later may need to make similar changes if they want to keep their build logs similarly clean. Previously, if you had a function that was declared with a non-void return type, lint and cc would warn if you didn't return a value, even if you called a function like exit() or panic() that ended execution. For instance: #include <stdlib.h> int callback(int status) { if (status == 0) return status; exit(status); } would previously require a never executed return 0; after the exit() to avoid lint warning "function falls off bottom without returning value". Now the compiler & lint will both issue "statement not reached" warnings for a return 0; after the final exit(), allowing (or in some cases, requiring) it to be removed. However, if there is no return statement anywhere in the function, lint will warn that you've declared a function returning a value that never does so, suggesting you can declare it as void. Unfortunately, if your function signature is required to match a certain form, such as in a callback, you not be able to do so, and will need to add a /* LINTED */ to the end of the function. If you need your code to build on both a newer and an older release, then you will either need to #ifdef these unreachable statements, or, to keep your sources common across releases, add to your sources the corresponding #pragma recognized by both current and older compiler versions, such as: #pragma does_not_return(exit) #pragma does_not_return(panic) Hopefully this little extra work is paid for by the compilers & code analyzers being able to better understand your code paths, giving you better optimizations and more accurate errors & warning messages.

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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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• 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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• My Doors - Why Standards Matter to Business

  - by Brian Dayton

  "Standards save money." "Standards accelerate projects." "Standards make better solutions."   What do these statements mean to you? You buy technology solutions like Oracle Applications but you're a business person--trying to close the quarter, get performance reviews processed, negotiate a new sourcing contract, etc.   When "standards" come up in presentations and discussions do you: -          Nod your head politely -          Tune out and check your smart phone -          Turn to your IT counterpart and say "Bob's all over this standards thing, right Bob?"   Here's why standards matter. My wife wants new external doors downstairs, ones that would get more light into the rooms. Am I OK with that? "Uhh, sure...it's a little dark in the kitchen."   -          24 hours ago - wife calls to tell me that she's going to the hardware store and may look at doors -          20 hours ago - wife pulls into driveway, informs me that two doors are in the back of her station wagon, ready for me to carry -          19 hours ago - I re-discovered the fact that it's not fun to carry a solid wood door by myself -          5 hours ago - Local handyman, who was at our house anyway, tells me that the doors we bought will likely cost 2-3x the material cost in installation time and labor...the doors are standard but our doorways aren't   We could have done more research. I could be more handy. Sure. But the fact is, my 1951 house wasn't built with me in mind. They built what worked and called it a day.   The same holds true with a lot of business applications. They were designed and architected for one-time use with one use-case in mind. Today's business climate is different. If you're going to use your processes and technology to differentiate your business you should have at least a working knowledge of: -          How standards can benefit your business -          Your IT organization's philosophy around standards -          Your vendor's track-record around standards...and watch for those who pay lip-service to standards but don't follow through   The rallying cry in most IT organizations today is "learn more about the business, drop the acronyms." I'm not advocating that you go out and learn how to code in Java. But I do believe it will help your business and your decision-making process if you meet IT ½...even ¼ of the way there.   Epilogue: The door project has been put on hold and yours truly has to return the doors to the hardware store tomorrow.

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• Hidden exceptions

  - by user12617285

  Occasionally you may find yourself in a Java application environment where exceptions in your code are being caught by the application framework and either silently swallowed or converted into a generic exception. Either way, the potentially useful details of your original exception are inaccessible. Wouldn't it be nice if there was a VM option that showed the stack trace for every exception thrown, whether or not it's caught? In fact, HotSpot includes such an option: -XX:+TraceExceptions. However, this option is only available in a debug build of HotSpot (search globals.hpp for TraceExceptions). And based on a quick skim of the HotSpot source code, this option only prints the exception class and message. A more useful capability would be to have the complete stack trace printed as well as the code location catching the exception. This is what the various TraceException* options in in Maxine do (and more). That said, there is a way to achieve a limited version of the same thing with a stock standard JVM. It involves the use of the -Xbootclasspath/p non-standard option. The trick is to modify the source of java.lang.Exception by inserting the following: private static final boolean logging = System.getProperty("TraceExceptions") != null; private void log() { if (logging && sun.misc.VM.isBooted()) { printStackTrace(); } } Then every constructor simply needs to be modified to call log() just before returning: public Exception(String message) { super(message); log(); } public Exception(String message, Throwable cause) { super(message, cause); log(); } // etc... You now need to compile the modified Exception.java source and prepend the resulting class to the boot class path as well as add -DTraceExceptions to your java command line. Here's a console session showing these steps: % mkdir boot % javac -d boot Exception.java % java -DTraceExceptions -Xbootclasspath/p:boot -cp com.oracle.max.vm/bin test.output.HelloWorld java.util.zip.ZipException: error in opening zip file at java.util.zip.ZipFile.open(Native Method) at java.util.zip.ZipFile.(ZipFile.java:127) at java.util.jar.JarFile.(JarFile.java:135) at java.util.jar.JarFile.(JarFile.java:72) at sun.misc.URLClassPath$JarLoader.getJarFile(URLClassPath.java:646) at sun.misc.URLClassPath$JarLoader.access$600(URLClassPath.java:540) at sun.misc.URLClassPath$JarLoader$1.run(URLClassPath.java:607) at java.security.AccessController.doPrivileged(Native Method) at sun.misc.URLClassPath$JarLoader.ensureOpen(URLClassPath.java:599) at sun.misc.URLClassPath$JarLoader.(URLClassPath.java:583) at sun.misc.URLClassPath$3.run(URLClassPath.java:333) at java.security.AccessController.doPrivileged(Native Method) at sun.misc.URLClassPath.getLoader(URLClassPath.java:322) at sun.misc.URLClassPath.getLoader(URLClassPath.java:299) at sun.misc.URLClassPath.getResource(URLClassPath.java:168) at java.net.URLClassLoader$1.run(URLClassLoader.java:194) at java.security.AccessController.doPrivileged(Native Method) at java.net.URLClassLoader.findClass(URLClassLoader.java:190) at sun.misc.Launcher$ExtClassLoader.findClass(Launcher.java:229) at java.lang.ClassLoader.loadClass(ClassLoader.java:306) at java.lang.ClassLoader.loadClass(ClassLoader.java:295) at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:301) at java.lang.ClassLoader.loadClass(ClassLoader.java:247) java.security.PrivilegedActionException at java.security.AccessController.doPrivileged(Native Method) at sun.misc.URLClassPath$JarLoader.ensureOpen(URLClassPath.java:599) at sun.misc.URLClassPath$JarLoader.(URLClassPath.java:583) at sun.misc.URLClassPath$3.run(URLClassPath.java:333) at java.security.AccessController.doPrivileged(Native Method) at sun.misc.URLClassPath.getLoader(URLClassPath.java:322) ... It's worth pointing out that this is not as useful as direct VM support for tracing exceptions. It has (at least) the following limitations: The trace is shown for every exception, whether it is thrown or not. It only applies to subclasses of java.lang.Exception as there appears to be bootstrap issues when the modification is applied to Throwable.java. It does not show you where the exception was caught. It involves overriding a class in rt.jar, something should never be done in a non-development environment.

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• Chrome Web Browser Messages: Some Observations

  - by ultan o'broin

  I'm always on the lookout for how different apps handle errors and what kind of messages are shown (I probably need to get out more), I use this 'research' to reflect on our own application error messages patterns and guidelines and how we might make things better for our users in future. Users are influenced by all sorts of things, but their everyday experiences of technology, and especially what they encounter on the internet, increasingly sets their expectations for the enterprise user experience too. I recently came across a couple of examples from Google's Chrome web browser that got me thinking. In the first case, we have a Chrome error about not being able to find a web page. I like how simple, straightforward messaging language is used along with an optional ability to explore things a bit further--for those users who want to. The 'more information' option shows the error encountered by the browser (or 'original' error) in technical terms, along with an error number. Contrasting the two messages about essentially the same problem reveals what's useful to users and what's not. Everyone can use the first message, but the technical version of the message has to be explicitly disclosed for any more advanced user to pursue further. More technical users might search for a resolution, using that Error 324 number, but I imagine most users who see the message will try again later or check their URL again. Seems reasonable that such an approach be adopted in the enterprise space too, right? Maybe. Generally, end users don't go searching for solutions based on those error numbers, and help desk folks generally prefer they don't do so. That's because of the more critical nature of enterprise data or the fact that end users may not have the necessary privileges to make any fixes anyway. What might be more useful here is a link to a trusted source of additional help provided by the help desk or reputable community instead. This takes me on to the second case, this time more closely related to the language used in messaging situations. Here, I first noticed by the using of the (s) approach to convey possibilities of there being one or more pages at the heart of the problem. This approach is a no-no in Oracle style terms (the plural would be used) and it can create translation issues (though it is not a show-stopper). I think Google could have gone with the plural too. However, of more interest is the use of the verb "kill", shown in the message text and as an action button label. For many writers, words like "kill" and "abort" are to be avoided as they can give offense. I am not so sure about that judgment, as really their use cannot be separated from the context. Certainly, for more technical users, they're fine and have been in use for years, so I see no reason to avoid these terms if the audience has accepted them. Most end users too, I think would find the idea of "kill" usable and may even use the term in every day speech. Others might disagree--Apple uses a concept of Force Quit, for example. Ultimately, the only way to really know how to proceed is to research these matter by asking users of differing roles and expertise to perform some tasks, encounter these messages and then make recommendations based on those findings for our designs. Something to do in 2011!

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• Countdown of Top 10 Reasons to Never Ever Use a Pie Chart

  - by Tony Wolfram

    Pie charts are evil. They represent much of what is wrong with the poor design of many websites and software applications. They're also innefective, misleading, and innacurate. Using a pie chart as your graph of choice to visually display important statistics and information demonstrates either a lack of knowledge, laziness, or poor design skills. Figure 1: A floating, tilted, 3D pie chart with shadow trying (poorly)to show usage statistics within a graphics application.   Of course, pie charts in and of themselves are not evil. This blog is really about designers making poor decisions for all the wrong reasons. In order for a pie chart to appear on a web page, somebody chose it over the other alternatives, and probably thought they were doing the right thing. They weren't. Using a pie chart is almost always a bad design decision. Figure 2: Pie Chart from an Oracle Reports User Guide   A pie chart does not do the job of effectively displaying information in an elegant visual form.  Being circular, they use up too much space while not allowing their labels to line up. Bar charts, line charts, and tables do a much better job. Expert designers, statisticians, and business analysts have documented their many failings, and strongly urge software and report designers not to use them. It's obvious to them that the pie chart has too many inherent defects to ever be used effectively. Figure 3: Demonstration of how comparing data between multiple pie charts is difficult.   Yet pie charts are still used frequently in today's software applications, financial reports, and websites, often on the opening page as a symbol of how the data inside is represented. In an attempt to get a flashy colorful graphic to break up boring text, designers will often settle for a pie chart that looks like pac man, a colored spinning wheel, or a 3D floating alien space ship.     Figure 4: Best use of a pie chart I've found yet.   Why is the pie chart so popular? Through its constant use and iconic representation as the classic chart, the idea persists that it must be a good choice, since everyone else is still using it. Like a virus or an urban legend, no amount of vaccine or debunking will slow down the use of pie charts, which seem to be resistant to logic and common sense. Even the new iPad from Apple showcases the pie chart as one of its options.     Figure 5: Screen shot of new iPad showcasing pie charts. Regardless of the futility in trying to rid the planet of this often used poor design choice, I now present to you my top 10 reasons why you should never, ever user a pie chart again.    Number 10 - Pie Charts Just Don't Work When Comparing Data Number 9 - You Have A Better Option: The Sorted Horizontal Bar Chart Number 8 - The Pie Chart is Always Round Number 7 - Some Genius Will Make It 3D Number 6 - Legends and Labels are Hard to Align and Read Number 5 - Nobody Has Ever Made a Critical Decision Using a Pie Chart Number 4 - It Doesn't Scale Well to More Than 2 Items Number 3 - A Pie Chart Causes Distortions and Errors Number 2 - Everyone Else Uses Them: Debunking the "Urban Legend" of Pie Charts Number 1 - Pie Charts Make You Look Stupid and Lazy  

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