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• Seven Accounting Changes for 2010

  - by Theresa Hickman

  I read a very interesting article called Seven Accounting Changes That Will Affect Your 2010 Annual Report from SmartPros that nicely summarized how 2010 annual financial statements will be impacted.  Here’s a Reader’s Digest version of the changes: 1.  Changes to revenue recognition if you sell bundled products with multiple deliverables: Old Rule: You needed to objectively establish the “fair value” of each bundled item. So if you sold a dishwasher plus installation and could not establish the fair value of the installation, you might have to delay recognizing revenue of the dishwasher days or weeks later until it was installed. New Rule (ASU 2009-13): “Objective” proof of each service or good is no longer required; you can simply estimate the selling price of the installation and warranty. So the dishwasher vendor can recognize the dishwasher revenue immediately at the point of sale without waiting a few weeks for the installation. Then they can recognize the estimated value of the installation after it is complete. 2.  Changes to revenue recognition for devices with embedded software: Old Rule: Hardware devices with embedded software, such as the iPhone, had to follow stringent software revrec rules. This forced Apple to recognize iPhone revenues over two years, the period of time that software updates were provided. New Rule (ASU 2009-14): Software revrec rules no longer apply to these devices with embedded software; these devices can now follow ASU 2009-13. This allows vendors, such as Apple, to recognize revenue sooner. 3.  Fair value disclosures: Companies (both public and private) now need to spend extra time gathering, summarizing, and disclosing information about items measured at fair value, such as significant transfers in and out of Level 1(quoted market price), Level 2 (valuation based on observable markets), and Level 3 (valuations based on internal information). 4.  Consolidation of variable interest entities (a.k.a special purpose entities): Consolidation rules for variable interest entities now require a qualitative, not quantitative, analysis to determine the primary beneficiary. Instead of simply looking at the percentage of voting interests, the primary beneficiary could have less than the majority interests as long as it has the power to direct the activities and absorb any losses.  5.  XBRL: Starting in June 2011, all U.S. public companies are required to file financial statements to the SEC using XBRL. Note: Oracle supports XBRL reporting. 6.  Non-GAAP financial disclosures: Companies that report non-GAAP measures of performance, such as EBITDA in SEC filings, have more flexibility.  The new interpretations can be found here: http://www.sec.gov/divisions/corpfin/guidance/nongaapinterp.htm.  7.  Loss contingencies disclosures: Companies should expect additional scrutiny of their loss disclosures, such as those from litigation losses, in their annual financial statements. The SEC wants more disclosures about loss contingencies sooner instead of after the cases are settled.

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• ARTS Reference Model for Retail

  - by Sanjeev Sharma

  Consider a hypothetical scenario where you have been tasked to set up retail operations for a electronic goods or daily consumables or a luxury brand etc. It is very likely you will be faced with the following questions: What are the essential business capabilities that you must have in place?  What are the essential business activities under-pinning each of the business capabilities, identified in Step 1? What are the set of steps that you need to perform to execute each of the business activities, identified in Step 2? Answers to the above will drive your investments in software and hardware to enable the core retail operations. More importantly, the choices you make in responding to the above questions will several implications in the short-run and in the long-run. In the short-term, you will incur the time and cost of defining your technology requirements, procuring the software/hardware components and getting them up and running. In the long-term, as you grow in operations organically or through M&A, partnerships and franchiser business models  you will invariably need to make more technology investments to manage the greater complexity (scale and scope) of business operations.  "As new software applications, such as time & attendance, labor scheduling, and POS transactions, just to mention a few, are introduced into the store environment, it takes a disproportionate amount of time and effort to integrate them with existing store applications. These integration projects can add up to 50 percent to the time needed to implement a new software application and contribute significantly to the cost of the overall project, particularly if a systems integrator is called in. This has been the reality that all retailers have had to live with over the last two decades. The effect of the environment has not only been to increase costs, but also to limit retailers' ability to implement change and the speed with which they can do so." (excerpt taken from here) Now, one would think a lot of retailers would have already gone through the pain of finding answers to these questions, so why re-invent the wheel? Precisely so, a major effort began almost 17 years ago in the retail industry to make it less expensive and less difficult to deploy new technology in stores and at the retail enterprise level. This effort is called the Association for Retail Technology Standards (ARTS). Without standards such as those defined by ARTS, you would very likely end up experiencing the following: Increased Time and Cost due to resource wastage arising from re-inventing the wheel i.e. re-creating vanilla processes from scratch, and incurring, otherwise avoidable, mistakes and errors by ignoring experience of others Sub-optimal Process Efficiency due to narrow, isolated view of processes thereby ignoring process inter-dependencies i.e. optimizing parts but not the whole, and resulting in lack of transparency and inter-departmental finger-pointing Embracing ARTS standards as a blue-print for establishing or managing or streamlining your retail operations can benefit you in the following ways: Improved Time-to-Market from parity with industry best-practice processes e.g. ARTS, thus avoiding “reinventing the wheel” for common retail processes and focusing more on customizing processes for differentiations, and lowering integration complexity and risk with a standardized vocabulary for exchange between internal and external i.e. partner systems Lower Operating Costs by embracing the ARTS enterprise-wide process reference model for developing and streamlining retail operations holistically instead of a narrow, silo-ed view, and  procuring IT systems in compliance with ARTS thus avoiding IT budget marginalization While parity with industry standards such as ARTS business process model by itself does not create a differentiation, it does however provide a higher starting point for bridging the strategy-execution gap in setting up and improving retail operations.

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• JSR 355 Final Release, and moves JCP to version 2.9

  - by heathervc

  JSR 355, JCP EC Merge, passed the JCP EC Final Approval Ballot on 13 August 2012, with 14 Yes votes, 1 abstain (1 member did not vote) on the SE/EE EC, and 12 yes votes (2 members were not eligible to vote) on the ME EC.  JSR 355 posted a Final Release this week, moving the JCP program version to JCP 2.9.  The transition to a merged EC will happen after the 2012 EC Elections, as defined in the Appendix B of the JCP (pasted below), and the EC will operate under the new EC Standing Rules. In the previous version (2.8) of this Process Document there were two separate Executive Committees, one for Java ME and one for Java SE and Java EE combined. The single Executive Committee described in this version of the Process Document will be implemented through the following process: The 2012 annual elections will be held as defined in JCP 2.8, but candidates will be informed that if they are elected their term will be for only a single year, since all candidates must stand for re-election in 2013. Immediately after the 2012 election the two ECs will be merged. Oracle and IBM's second seats will be eliminated, resulting in a single EC with 30 members. All subsequent JSR ballots (even for in-progress JSRs) will then be voted on by the merged EC. For the 2013 annual elections three Ratified and two Elected Seats will be eliminated, thereby reducing the EC to 25 members. All 25 seats will be up for re-election in 2013. Members elected in 2013 will be ranked to determine whether their initial term will be one or two years. The 50% of Ratified and 50% of Elected members who receive the most votes will serve an initial two-year term, while all others will serve an initial one year term. All members elected in 2014 and subsequently will serve a two-year term. For clarity, note that the provisions specified in this version of the Process Document regarding a merged EC will apply to subsequent ballots on all existing JSRs, whether or not the Spec Leads of those JSRs chose to adopt this version of the Process Document in its entirety. <end of Appendix> Also of note:  the materials and minutes from the July EC meeting and the June EC Meeting are now available--following the July EC Meeting, Samsung and SK Telecom lost their EC seats. The June EC meeting also had a public portion--the audio from the public portion of the EC meeting are now posted online.  For Spec Leads there is also the recording of the EG Nominations call.

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• Small script to look for Project Replication actions that have failed

  - by Trond Strømme

  Today when looking at a couple of projects on a ZFS 7320 Storage Appliance I noticed on one project that one of its replication actions had failed, as I hadn't checked the Recent Alerts log yet I was not aware of this. I decided to write a small script to check if there were others that had failed. Nothing fancy, just a loop through all projects, look at the project's replication child and compare the values of the last_sync and last_try properties and print the result if they're not equal. (There are probably more sensible ways of doing this, but at least it involves me getting the chance to put on my headphones and doing just a little bit of coding.) script // this script will locate failed project level replication // it will look at the sync times for 'last_sync' and 'last_try' // and compare these, if they deviate you should investigate. // NOTE! this code is offered 'as is' Run at your own risk, // it will probably work as intended, but in now way can I // (or Oracle) be held responsible if your server starts behaving // like a three year old kid in a candy store.. (not that mine do, // they are very well behaved boys...) run('configuration'); run('storage'); printf('Host: %s, pool: %s\n', get('owner'),get('pool')); run('cd /'); run('shares'); proj=list(); printf("total projects: %d\n",proj.length +'\n'); // just for project level replication for(i=0;i<proj.length;i++){ run('select '+proj[i]); run('replication'); //get all replication actions preps = list(); for(j=0;j<preps.length;j++){ run('select ' + preps[j]); last_sync = get('last_sync'); last_try = get('last_try'); // printf("target %s\n", get('target')); //why the flip does this not get the proper name? if(!( last_sync.valueOf() === last_try.valueOf())){ printf("sync has failed for %s %s\n", proj[i], get('target')); }else{ // printf("OK %s %s\n", proj[i], get('target')); } run('done'); //done with the replica action } run('done'); run('done'); } printf("finished\n"); For a more on how to run the script, or testing it please look at my previous post. Sample output: Host: elb1sn01, pool: exalogic total projects: 45 sync has failed for ACSExalogicSystem cb3a24fe-ad60-c90f-d15d-adaafd595639 finished

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• Solaris 11

  - by user9154181

  Oracle has a strict policy about not discussing product features until they appear in shipping product. Now that Solaris 11 is publically available, it is time to catch up. I will be shortly posting articles on a variety of new developments in the Solaris linkers and related bits: 64-bit Archives After 40+ years of Unix, the archive file format has run out of room. The ar and link-editor (ld) commands have been enhanced to allow archives to grow past their previous 32-bit limits. Guidance The link-editor is now willing and able to tell you how to alter your link lines in order to build better objects. Stub Objects This is one of the bigger projects I've undertaken since joining the Solaris group. Stub objects are shared objects, built entirely from mapfiles, that supply the same linking interface as the real object, while containing no code or data. You can link to them, but cannot use them at runtime. It was pretty simple to add this ability to the link-editor, but the changes to the OSnet in order to apply them to building Solaris were massive. I discuss how we came to invent stub objects, how we apply them to build the OSnet in a more parallel and scalable manner, and about the follow on opportunities that have emerged from the new stub proto area we created to hold them. The elffile Utility A new standard Solaris utility, elffile is a variant of the file utility, focused exclusively on linker related files. elffile is of particular value for examining archives, as it allows you to find out what is inside them without having to first extract the archive members into temporary files. This release has been a long time coming. I joined the Solaris group in late 2005, and this will be my first FCS. From a user perspective, Solaris 11 is probably the biggest change to Solaris since Solaris 2.0. Solaris 11 polishes the ground breaking features from Solaris 10 (DTrace, FMA, ZFS, Zones), and uses them to add a powerful new packaging system, numerous other enhacements and features, along with a huge modernization effort. I'm excited to see it go out into the world. I hope you enjoy using it as much as we did creating it. Software is never done. On to the next one...

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• Building a Solaris 11 repository without network connection

  - by user12611852

  Solaris 11 has been released and is a fantastic new iteration of Oracle's rock solid, enterprise operating system.  One of the great new features is the repository based Image Packaging system.  IPS not only introduces new cloud based package installation services, it is also integrated with our zones, boot environment and ZFS file systems to provide a safe, easy and fast way to perform system updates. My customers typically don't have network access and, in fact, can't connect to any network until they have "Authority to connect."  It's useful, however, to build up a Solaris 11 system with additional software using the new Image Packaging System and locally stored repository. The Solaris 11 documentation describes how to create a locally stored repository with full explanations of what the commands do. I'm simply providing the quick and dirty steps.  The easiest way is to download the ISO image, burn to a DVD and insert into your DVD drive.  Then as root: pkg set-publisher -G '*' -g file:///cdrom/sol11repo_full/repo solaris Now you can to install software using the GUI package manager or the pkg commands.  If you would like something more permanent (or don't have a DVD drive), however, it takes a little more work. After installing Solaris 11, download (on another system perhaps) the two files that make up the Solaris 11 repository from our download site Sneaker-net the files to your Solaris 11 system Unzip and cat the two files together to create one large ISO image. The file is about 6.9 GB in size zfs create rpool/export/repoSolaris11 zfs set atime=off rpool/export/repoSolaris11 zfs set compression=on rpool/export/repoSolaris11 (save some space) lofiadm -a sol-11-1111-repo-full.iso /dev/lofi/1 mount -F hsfs /dev/lofi/1 /mnt You could stop here and set the publisher to point to the /mnt/repo location, however, this mount will not be persistent across reboots. Copy the repository from the mounted ISO image to a permanent, on disk location. rsync -aP /mnt/repo /export/repoSolaris11 pkgrepo -s /export/repoSolaris11 refresh pkg set-publisher -G '*' -g /export/repoSolaris11/repo solaris You now have a locally installed repository for adding additional software packages for Solaris 11.  The documentation also takes you through publishing your repository on the network so that others can access it.

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• The Minimalist Approach to Content Governance - Create Phase

  - by Kellsey Ruppel

   Originally posted by John Brunswick. In this installment of our Minimalist Approach to Content Governance we finally get to the fun part of the content creation process! Once the content requester has addressed the items outlined in the Request Phase it is time to setup and begin the production of content.   For this to be done correctly it is important the the content be assigned appropriate workflow and security information. As in our prior phase, let's take a look at what can be done to streamline this process - as contributors are focused on getting information to their end users as quickly as possible. This often means that details around how to ensure that the materials are properly managed can be overlooked, but fortunately there are some techniques that leverage our content management system's native capabilities to automatically take care of some of the details. 1. Determine Access Why - Even if content is not something that needs to restricted due to security reasons, it is helpful to apply access rights so that the content ends up being visible only to users that it relates to. This will greatly improve user experience. For instance, if your team is working on a group project many of your fellow company employees do not need to see the content that is being worked on for that project. How - Make use of native content features that allow propagation of security and meta data from parent folders within your content system that have been setup for your particular effort. This makes it painless to enforce security, as well as meta data policies for even the most unorganized users. The default settings at a parent level can be set once the content creation request has been accepted and a location in the content management system is assigned for your specific project. Impact - Users can find information will less effort, as they will only be exposed to what they need for their work and can leverage advanced search features to take advantage of meta data assigned to content. The combination of default security and meta data will also help in running reports against the content in the Manage and Retire stages that we will discuss in the next 2 posts. 2. Assign Workflow (optional depending on nature of content) Why - Every case for workflow is going to be a bit different, but it generally involves ensuring that content conforms to management, legal and or editorial requirements. How - Oracle's Universal Content Management offers two ways of helping to workflow content without much effort. Workflow can be applied to content based on Criteria acting on meta data or explicitly assigned to content with a Basic workflow. Impact - Any content that needs additional attention before release is addressed, allowing users to comment and version until a suitable result is reached. By using inheritance from parent folders within the content management system content can automatically be given the right security, meta data and workflow information for a particular project's content. This relieves the burden of doing this for every piece of content from management teams and content contributors. We will cover more about the management phase within the content lifecycle in our next installment.

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• Solaris continuera à supporter les processeurs Xeon d'Intel, son responsable dévoile les premiers éléments du prochain update

  Solaris continuera à supporter les processeurs Xeon d'Intel Le responsable de la plateforme chez Oracle dévoile les premiers éléments du prochain update De passage à Paris, le responsable de Solaris chez Oracle - Joost Pronk - a confirmé que l'OS « au coeur de la stratégie des nouveaux systèmes intégrés (Exadata, Exalogic et SPARC SuperCluster...), en partant des disques jusqu'aux applications » continuerait à être développé pour être compatible aussi bien avec SPARC qu'avec les processeurs d'Intel. « Peu importe ce que l'on vous raconte, ou ce que vous lisez ou ce que vous entendrez ailleurs, moi je vous le dis, Solaris supportera SPARC et les Xeon d'Intel », assure le port...

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• How to set the initial component focus

  - by frank.nimphius

  Normal 0 false false false EN-US X-NONE X-NONE /* 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;} In ADF Faces, you use the af:document tag's initialFocusId to define the initial component focus. For this, specify the id property value of the component that you want to put the initial focus on. Identifiers are relative to the component, and must account for NamingContainers. You can use a single colon to start the search from the root, or multiple colons to move up through the NamingContainers - "::" will pop out of the component's naming container and begin the search from there, ":::" will pop out of two naming containers and begin the search from there. Alternatively you can add the naming container IDs as a prefix to the component Id, e.g. nc1:nc2:comp1. http://download.oracle.com/docs/cd/E17904_01/apirefs.1111/e12419/tagdoc/af_document.html To set the initial focus to a component located in a page fragment that is exposed through an ADF region, keep in mind that ADF Faces regions - af:region - is a naming container too. To address an input text field with the id "it1" in an ADF region exposed by an af:region tag with the id r1, you use the following reference in af:document: <af:document id="d1" initialFocusId="r1:0:it1"> Note the "0" index in the client Id. Also, make sure the input text component has its clientComponent property set to true as otherwise no client component exist to put focus on.

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• What books would I recommend?

  - by user12277104

  One of my mentees (I have three right now) said he had some time on his hands this Summer and was looking for good UX books to read ... I sigh heavily, because there is no shortage of good UX books to read. My bookshelves have titles by well-read authors like Nielsen, Norman, Tufte, Dumas, Krug, Gladwell, Pink, Csikszentmihalyi, and Roam. I have titles buy lesser-known authors, many whom I call friends, and many others whom I'll likely never meet. I have books on Excel pivot tables, typography, mental models, culture, accessibility, surveys, checklists, prototyping, Agile, Java, sketching, project management, HTML, negotiation, statistics, user research methods, six sigma, usability guidelines, dashboards, the effects of aging on cognition, UI design, and learning styles, among others ... many others. So I feel the need to qualify any book recommendations with "it depends ...", because it depends on who I'm talking to, and what they are looking for.  It's probably best that I also mention that the views expressed in this blog are mine, and may not necessarily reflect the views of Oracle. There. I'm glad I got that off my chest. For that mentee, who will be graduating with his MS HFID + MBA from Bentley in the Fall, I'll recommend this book: Universal Principles of Design -- this is a great book, which in its first edition held "100  ways to enhance usability, influence perception, increase appeal, make better design decisions, and teach through design." Granted, the second edition expanded that number to 125, but when I first found this book, I felt like I'd discovered the Grail. Its research-based principles are all laid out in 2 pages each, with lots of pictures and good references. A must-have for the new grad. Do I have recommendations for a book that will teach you how to conduct a usability test? Yes, three of them. To communicate what we do to management? Yes. To create personas? Yep -- two or three. Help you with UX in an Agile environment? You bet, I've got two I'd recommend. Create an excellent presentation? Uh hunh. Get buy-in from your team? Of course. There are a plethora of excellent UX books out there. But which ones I recommend ... well ... it depends. 

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• JTF Tranlsation Festival 2011

  - by user13133135

  ?????????????????????? (MT) ??????????????????????? JTF ????????????????????????????????????????????????? ???5??!???21?JTF???????? ? ??:2011?11?29?(?)9:30~20:30(??9:00) ? ??:??????????(????)?(??) ? ??:(?)?????? ??:JTF?????????? ? http://www.jtf.jp/jp/festival/festival_top.html ????????????????????????????????MT ????????????????????????????????????????????????? 90 ???!??(!?)?????????????????????????????????????????????????????????????????????????????? ????????????????? http://www.jtf.jp/jp/festival/festival_program.html#koen_04 ?????????????????????????????? English:  It's been a while since the last post... I have been working on machine translation (MT) and post editing (PE) for Japanese.  Last year was my first step in MT+PE area, and I would take this year as an advanced step.  I plan to talk over Post editing 2011 (Advanced Step) on November 27 at JTF Translation Festival.  ?5 days before application due? 21st JTF Translation Festival ? Date:Nov 29, 2011 Tuesday 9:30~20:30(Gate open: 9:00) ? Place:Arcadia Ichigaya Tokyo ? http://www.jtf.jp/jp/festival/festival_top.html In this session, I would like to expand the thought on "how to best utilize MT and PE" either from the view of Client and Translator.  I will show some examples of post editing as a guideline to know what is the best way and most effective way to do post-edit for Japanese.  Also, I will discuss what is the best practice for MT users (Client). The session lasts 90 minutes... sound a little long for me, but I want to spend more time for discussion than last year.  It would be great to exchange thought or experiences about MT and PE.  What is your concerns or problems in the daily work with MT ?  If you have some, please bring them to my session at JTF Translation Festival.  Here is my session details (Japanese): http://www.jtf.jp/jp/festival/festival_program.html#koen_04 Here is the outline of my session: What is the advantage of MT ? Does it solve all the problems about cost, resource, and quality ?  Well, it is not a magic.  So, you cannot expect all at once.  When you have a problem, there are 3 options... 1. Be patient and wait until everything is ready, 2. Run a workaround using anything available now, 3. Find out something completely new and spend time and money. This time, I will focus Option 2 - do something with what we already have.  That is, I will discuss how we can best utilize MT in our daily business.  My view is two ways: From Client point of view, and From Translator point of view Looking forward to meeting many people and exchanging thoughts and information!

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• The Connected Company: WebCenter Portal Activity Streams

  - by Michael Snow

  Guest post by Mitchell Palski, Oracle Staff Sales Consultant 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-family:"Calibri","sans-serif"; mso-ascii- mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi- mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Social media is sure to have made its way into your company or government organization. Whether its discussion threads, blog posts, Facebook-style profile-pages, or just a simple Instant Messenger application; in one way or another, your employees are connected. What are the objectives of leveraging social media in your organization? Facilitating knowledge transfer More effectively organizing team events Generating inter-community discussions to solve problems Improving resource management Increasing organizational awareness Creating an environment of accountability Do any of the business objectives above stand out to you as needs? If so, consider leveraging the WebCenter Portal Activity Stream as part of your solution. In WebCenter Portal, the Activity Stream feature provides a streaming view of the activities of your connections, actions taken in portals, and business activities that looks a lot like a combined Facebook and Twitter newsfeed. Activity Stream can note when a user: Posts feedback (comments) Uploads a document Creates a new blog, page, event, or announcement Starts a new discussion Streams messages and attachments entered through WebCenter Publisher (similar to Twitter) Through Activity Stream Preferences, you can select which of these activities to show or hide from your personal Activity Stream. Here’s what you get: Real-time stream of activities with in a Portal or sub-Portal increases awareness across your organization or within a working group Complete list of user actions reduces the time-to-find for users that need to interact with the latest activities in your portal Users can publish to their groups when tasks are finished for complete group traceability and accountability, as well as improved resource management. Project discussions and shared documents that require the expertise of someone outside of a working group now get increased visibility across your organization. There’s a reason that commercial Social Media tools like Facebook and Twitter have been so successful – they spread information in an aesthetically appealing and easy to read format.  Strategically placing an Activity Feed within your Portal is analogous to sending your employees a daily newsletter, events calendar, recent documents report, and list of announcements – BUT ALL IN ONE! 

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• "Expecting A Different Result?" (2 of 3 in 'No Customer Left Behind' Series)

  - by Kathryn Perry

  A guest post by David Vap, Group Vice President, Oracle Applications Product Development Many companies already have some type of customer experience initiative in process or one that could be framed as such. The challenge is that the initiatives too often are started in a department silo, don't have the right level of executive sponsorship, or have been initiated without the necessary insight and strategic business alignment. You can't keep doing the same things, give it a customer experience name, and expect a different result. You can't continue to just compete on price or features - that is not sustainable in commoditized markets. And ultimately, investing in technology alone doesn't solve customer experience problems; it just adds to the complexity of them. You need a customer experience strategy and approach on how to execute a customer-centric worldview within your business. To develop this, you must take an outside in journey on how your customers are interacting with your business to establish a benchmark of your customers' experiences. Then you must get cross-functional alignment on what you are trying to achieve, near, mid, and long term. Your execution of that strategy should be based on a customer experience approach: Understand your customer: You need to capture the insights across interactions, channels (including social), and personas to better understand whom to serve, how to serve them, and when to serve them. Not all experiences or customers are equal, so leverage this insight to understand the strategic business objectives you need to address. Then determine which experiences can be improved immediately and which over time to get the result you need. Empower your ecosystem: You need to align your front-line employees with your strategy and give them the power, insight, and tools that allow them to cultivate a culture around strengthening the relationships with your customers. You also need to provide the transparency, access, and collaboration that enable your customers and partners to self serve and self solve and to share with ease. Adapt your business: You need to enable the discipline of agility within your organization and infrastructure so that you can innovate, tailor, and personalize experiences. This needs to be done both reactively from insight and proactively in real time so you can stay ahead of shifting market trends and evolving consumer behaviors. No longer will the old approaches provide the same returns. To compete, differentiate, and win in a world where the customer has the power, you must execute a strategy that is sure to deliver a better brand experience for your customers. Note: This is Part 2 in a three-part series. Part 1 is here. Stop back for Part 3 on November 28.

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• Have You Visited the New Procurement Enhancement Request Community?

  - by LuciaC

  Have you visited the new Procurement Enhancement Request Community yet?  If not, we strongly encourage you to visit this site to vote on current Enhancement Requests (ERs) available through the ‘Quick Preview of Voting List’.  You can also vote on any ER currently displayed.  Have an ER that is not listed?  Simply add it by creating a thread stating the ER and any detailed information you would like to include.  If the ER already exists in the database, we will add the ER # to the thread so that development can provide updates around the requested ERs. This community is your one-stop source for all Enhancement information.  It is being monitored regularly by development and soon we will be posting some updates around some of the top voted Enhancement Requests.  Know that your vote counts!  By voting, you will bring forward those ERs that impact the Procurement Suite's value and usability.  Is your request industry specific?  Let us know by posting this information in the body of the thread.  We have a team monitoring these ERs and will be happy to highlight industry specific ERs to ensure they also get equal visibility! Coming Soon:  A list of the Top implemented ERs!  Development has been working hard to make improvements to the Procurement Suite of Products and they want you to know about them!  Until then, check out the Best Practices Section for some key ERs and how they can help your company secure the most value from your implementation!! What you need to know: The Procurement Enhancement Requests Community is your 1-stop shop for the latest information on Enhancements! The Community allows you to vote on ERs bringing visibility to the collective audience interest in value and usability recommendations. Your place to submit any new enhancement requests. Get the latest on top Procurement Enhancement Requests (ERs) - know when an improvement is PLANNED, COMING SOON, and DELIVERED. This Community is owned and managed by the Oracle Procurement Development team! Let your voice be heard by telling us what you want to see implemented in the Procurement Suite.

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• Using WKA in Large Coherence Clusters (Disabling Multicast)

  - by jpurdy

  Disabling hardware multicast (by configuring well-known addresses aka WKA) will place significant stress on the network. For messages that must be sent to multiple servers, rather than having a server send a single packet to the switch and having the switch broadcast that packet to the rest of the cluster, the server must send a packet to each of the other servers. While hardware varies significantly, consider that a server with a single gigabit connection can send at most ~70,000 packets per second. To continue with some concrete numbers, in a cluster with 500 members, that means that each server can send at most 140 cluster-wide messages per second. And if there are 10 cluster members on each physical machine, that number shrinks to 14 cluster-wide messages per second (or with only mild hyperbole, roughly zero). It is also important to keep in mind that network I/O is not only expensive in terms of the network itself, but also the consumption of CPU required to send (or receive) a message (due to things like copying the packet bytes, processing a interrupt, etc). Fortunately, Coherence is designed to rely primarily on point-to-point messages, but there are some features that are inherently one-to-many: Announcing the arrival or departure of a member Updating partition assignment maps across the cluster Creating or destroying a NamedCache Invalidating a cache entry from a large number of client-side near caches Distributing a filter-based request across the full set of cache servers (e.g. queries, aggregators and entry processors) Invoking clear() on a NamedCache The first few of these are operations that are primarily routed through a single senior member, and also occur infrequently, so they usually are not a primary consideration. There are cases, however, where the load from introducing new members can be substantial (to the point of destabilizing the cluster). Consider the case where cluster in the first paragraph grows from 500 members to 1000 members (holding the number of physical machines constant). During this period, there will be 500 new member introductions, each of which may consist of several cluster-wide operations (for the cluster membership itself as well as the partitioned cache services, replicated cache services, invocation services, management services, etc). Note that all of these introductions will route through that one senior member, which is sharing its network bandwidth with several other members (which will be communicating to a lesser degree with other members throughout this process). While each service may have a distinct senior member, there's a good chance during initial startup that a single member will be the senior for all services (if those services start on the senior before the second member joins the cluster). It's obvious that this could cause CPU and/or network starvation. In the current release of Coherence (3.7.1.3 as of this writing), the pure unicast code path also has less sophisticated flow-control for cluster-wide messages (compared to the multicast-enabled code path), which may also result in significant heap consumption on the senior member's JVM (from the message backlog). This is almost never a problem in practice, but with sufficient CPU or network starvation, it could become critical. For the non-operational concerns (near caches, queries, etc), the application itself will determine how much load is placed on the cluster. Applications intended for deployment in a pure unicast environment should be careful to avoid excessive dependence on these features. Even in an environment with multicast support, these operations may scale poorly since even with a constant request rate, the underlying workload will increase at roughly the same rate as the underlying resources are added. Unless there is an infrastructural requirement to the contrary, multicast should be enabled. If it can't be enabled, care should be taken to ensure the added overhead doesn't lead to performance or stability issues. This is particularly crucial in large clusters.

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• Virtualbox 3.2 released and Ubuntu installation instructions included

  <b>Ubuntu Geek:</b> "VirtualBox 3.2, the first Oracle branded release since the acquisition of Sun Microsystems, Inc by Oracle Corp. earlier this year, contains many innovative new features which deliver further significant improvements in performance, power and supported guest operating system platforms."

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• Gone With the Wind?

  - by antony.reynolds

  Where Have All the Composites Gone? I was just asked to help out with an interesting problem at a customer.  All their composites had disappeared from the EM console, none of them showed as loading in the log files and there was an ominous error message in the logs. Symptoms After a server restart the customer noticed that none of his composites were available, they didn’t show in the EM console and in the log files they saw this error message: SEVERE: WLSFabricKernelInitializer.getCompositeList Error during parsing and processing of deployed-composites.xml file This indicates some sort of problem when parsing the deployed-composites.xml file.  This is very bad because the deployed-composites.xml file is basically the table of contents that tells SOA Infrastructure what composites to load and where to find them in MDS.  If you can’t read this file you can’t load any composites and your SOA Server now has all the utility of a chocolate teapot. Verification We can look at the deployed-composites.xml file from MDS either by connecting JDeveloper to MDS, exporting the file using WLST or exporting the whole soa-infra MDS partition by using EM->SOA->soa-infra->Administration->MDS Configuration.  Exporting via EM is probably the easiest because it then prepares you to fix the problem later.  After exporting the partition to local storage on the SOA Server I then ran an XSLT transform across the file deployed-composites/deployed-composites.xml. <?xml version="1.0" encoding="utf-8"?> <xsl:stylesheet version="2.0" xmlns:xsl="http://www.w3.org/1999/XSL/Transform" xmlns:xs="http://www.w3.org/2001/XMLSchema" xmlns="http://www.w3.org/1999/xhtml">     <xsl:output indent="yes"/>     <xsl:template match="/">         <testResult>             <composite-series>                 <xsl:attribute name="elementCount"><xsl:value-of select="count(deployed-composites/composite-series)"/></xsl:attribute>                 <xsl:attribute name="nameAttributeCount"><xsl:value-of select="count(deployed-composites/composite-series[@name])"/></xsl:attribute>                 <xsl:attribute name="defaultAttributeCount"><xsl:value-of select="count(deployed-composites/composite-series[@default])"/></xsl:attribute>                 <composite-revision>                     <xsl:attribute name="elementCount"><xsl:value-of select="count(deployed-composites/composite-series/composite-revision)"/></xsl:attribute>                     <xsl:attribute name="dnAttributeCount"><xsl:value-of select="count(deployed-composites/composite-series/composite-revision[@dn])"/></xsl:attribute>                     <xsl:attribute name="stateAttributeCount"><xsl:value-of select="count(deployed-composites/composite-series/composite-revision[@state])"/></xsl:attribute>                     <xsl:attribute name="modeAttributeCount"><xsl:value-of select="count(deployed-composites/composite-series/composite-revision[@mode])"/></xsl:attribute>                     <xsl:attribute name="locationAttributeCount"><xsl:value-of select="count(deployed-composites/composite-series/composite-revision[@location])"/></xsl:attribute>                     <composite>                         <xsl:attribute name="elementCount"><xsl:value-of select="count(deployed-composites/composite-series/composite-revision/composite)"/></xsl:attribute>                         <xsl:attribute name="dnAttributeCount"><xsl:value-of select="count(deployed-composites/composite-series/composite-revision/composite[@dn])"/></xsl:attribute>                         <xsl:attribute name="deployedTimeAttributeCount"><xsl:value-of select="count(deployed-composites/composite-series/composite-revision/composite[@deployedTime])"/></xsl:attribute>                     </composite>                 </composite-revision>                 <xsl:apply-templates select="deployed-composites/composite-series"/>             </composite-series>         </testResult>     </xsl:template>     <xsl:template match="composite-series">             <xsl:if test="not(@name) or not(@default) or composite-revision[not(@dn) or not(@state) or not(@mode) or not(@location)]">                 <ErrorNode>                     <xsl:attribute name="elementPos"><xsl:value-of select="position()"/></xsl:attribute>                     <xsl:copy-of select="."/>                 </ErrorNode>             </xsl:if>     </xsl:template> </xsl:stylesheet> The output from this is not pretty but it shows any <composite-series> tags that are missing expected attributes (name and default).  It also shows how many composites are in the file (111) and how many revisions of those composites (115). <?xml version="1.0" encoding="UTF-8"?> <testResult xmlns:xs="http://www.w3.org/2001/XMLSchema" xmlns="http://www.w3.org/1999/xhtml">    <composite-series elementCount="111" nameAttributeCount="110" defaultAttributeCount="110">       <composite-revision elementCount="115" dnAttributeCount="114" stateAttributeCount="115"                           modeAttributeCount="115"                           locationAttributeCount="114">          <composite elementCount="115" dnAttributeCount="114" deployedTimeAttributeCount="115"/>       </composite-revision>       <ErrorNode elementPos="82">          <composite-series xmlns="">             <composite-revision state="on" mode="active">                <composite deployedTime="2010-12-15T11:50:16.067+01:00"/>             </composite-revision>          </composite-series>       </ErrorNode>    </composite-series> </testResult> From this I could see that one of the <composite-series> elements (number 82 of 111) seemed to be corrupt. Having found the problem I now needed to fix it. Fixing the Problem The solution was really quite easy.  First for safeties sake I took a backup of the exported MDS partition.  I then edited the deployed-composites/deployed-composites.xml file to remove the offending <composite-series> tag. Finally I restarted the SOA domain and was rewarded by seeing that the deployed composites were now visible. Summary One possible cause of not being able to see deployed composites after a SOA 11g system restart is a corrupt deployed-composites.xml file.  Retrieving this file from MDS, repairing it, and replacing it back into MDS can solve the problem.  This still leaves the problem of how did this file become corrupt!

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• Social Business Forum Milano: Day 2

  - by me

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

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• 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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• Session Report - Modern Software Development Anti-Patterns

  - by Janice J. Heiss

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

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• My error with upgrading 4.0 to 4.2- What NOT to do...

  - by Steve Tunstall

  Last week, I was helping a client upgrade from the 2011.1.4.0 code to the newest 2011.1.4.2 code. We downloaded the 4.2 update from MOS, upload and unpacked it on both controllers, and upgraded one of the controllers in the cluster with no issues at all. As this was a brand-new system with no networking or pools made on it yet, there were not any resources to fail back and forth between the controllers. Each controller had it's own, private, management interface (igb0 and igb1) and that's it. So we took controller 1 as the passive controller and upgraded it first. The first controller came back up with no issues and was now on the 4.2 code. Great. We then did a takeover on controller 1, making it the active head (although there were no resources for it to take), and then proceeded to upgrade controller 2. Upon upgrading the second controller, we ran the health check with no issues. We then ran the update and it ran and rebooted normally. However, something strange then happened. It took longer than normal to come back up, and when it did, we got the "cluster controllers on different code" error message that one gets when the two controllers of a cluster are running different code. But we just upgraded the second controller to 4.2, so they should have been the same, right??? Going into the Maintenance-->System screen of controller 2, we saw something very strange. The "current version" was still on 4.0, and the 4.2 code was there but was in the "previous" state with the rollback icon, as if it was the OLDER code and not the newer code. I have never seen this happen before. I would have thought it was a bad 4.2 code file, but it worked just fine with controller 1, so I don't think that was it. Other than the fact the code did not update, there was nothing else going on with this system. It had no yellow lights, no errors in the Problems section, and no errors in any of the logs. It was just out of the box a few hours ago, and didn't even have a storage pool yet. So.... We deleted the 4.2 code, uploaded it from scratch, ran the health check, and ran the upgrade again. once again, it seemed to go great, rebooted, and came back up to the same issue, where it came to 4.0 instead of 4.2. See the picture below.... HERE IS WHERE I MADE A BIG MISTAKE.... I SHOULD have instantly called support and opened a Sev 2 ticket. They could have done a shared shell and gotten the correct Fishwork engineer to look at the files and the code and determine what file was messed up and fixed it. The system was up and working just fine, it was just on an older code version, not really a huge problem at all. Instead, I went ahead and clicked the "Rollback" icon, thinking that the system would rollback to the 4.2 code.   Ouch... What happened was that the system said, "Fine, I will delete the 4.0 code and boot to your 4.2 code"... Which was stupid on my part because something was wrong with the 4.2 code file here and the 4.0 was just fine.  So now the system could not boot at all, and the 4.0 code was completely missing from the system, and even a high-level Fishworks engineer could not help us. I had messed it up good. We could only get to the ILOM, and I had to re-image the system from scratch using a hard-to-get-and-use FishStick USB drive. These are tightly controlled and difficult to get, almost always handcuffed to an engineer who will drive out to re-image a system. This took another day of my client's time.  So.... If you see a "previous version" of your system code which is actually a version higher than the current version... DO NOT ROLL IT BACK.... It did not upgrade for a very good reason. In my case, after the system was re-imaged to a code level just 3 back, we once again tried the same 4.2 code update and it worked perfectly the first time and is now great and stable.  Lesson learned.  By the way, our buddy Ryan Matthews wanted to point out the best practice and supported way of performing an upgrade of an active/active ZFSSA, where both controllers are doing some of the work. These steps would not have helpped me for the above issue, but it's important to follow the correct proceedure when doing an upgrade. 1) Upload software to both controllers and wait for it to unpack 2) On controller "A" navigate to configuration/cluster and click "takeover" 3) Wait for controller "B" to finish restarting, then login to it, navigate to maintenance/system, and roll forward to the new software. 4) Wait for controller "B" to apply the update and finish rebooting 5) Login to controller "B", navigate to configuration/cluster and click "takeover" 6) Wait for controller "A" to finish restarting, then login to it, navigate to maintenance/system, and roll forward to the new software. 7) Wait for controller "A" to apply the update and finish rebooting 8) Login to controller "B", navigate to configuration/cluster and click "failback"

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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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• Tip #19 Module Private Visibility in OSGi

  - by ByronNevins

  I hate public and protected methods and classes.  It requires so much work to change them in a huge project like GlassFish.  Not to mention that you may well have to support those APIs forever.  They are highly overused in GlassFish.  In fact I'd bet that > 95% of classes are marked as public for no good reason.  It's just (bad) habit is my guess. private and default visibility (I call it package-private) is easier to maintain.  It is much much easier to change such classes and methods around.  If you have ANY public method or public class in GlassFish you'll need to grep through a tremendous amount of source code to find all callers.  But even that won't be theoretically reliable.  What if a caller is using reflection to access public methods?  You may never find such usages. If you have package private methods, it's easy.  Simply grep through all the code in that one package.  As long as that package compiles ok you're all set.  There can' be any compile errors anywhere else.  It's a waste of time to even look around or build the "outside" world.  So you may be thinking: "Aha!  I'll just make my module have one giant package with all the java files.  Then I can use the default visibility and maintenance will be much easier.  But there's a problem.  You are wasting a very nice feature of java -- organizing code into separate packages.  It also makes the code much more encapsulated.  Unfortunately to share code between the packages you have no choice but to declare public visibility. What happens in practice is that a module ends up having tons of public classes and methods that are used exclusively inside the module.  Which finally brings me to the point of this blog:  If Only There Was A Module-Private Visibility Available Well, surprise!  There is such a mechanism.  If your project is running under OSGi that is.  Like GlassFish does!  With this mechanism you can easily add another level of visibility by telling OSGi exactly which public you want to be exposed outside of the module.  You get the best of both worlds: Better encapsulation of your code so that maintenance is easier and productivity is increased. Usage of public visibility inside the module so that you can encapsulate intra-module better with packages. How I do this in GlassFish: Carefully plan out at least one package that will contain "true" publics.  This is the package that will be exported by OSGi.  I recommend just one package. Here is how to tell OSGi to use it in GlassFish -- edit osgi.bundle like so:-exportcontents:     org.glassfish.mymodule.truepublics;  version=${project.osgi.version} Now all publics declared in any other packages will be visible module-wide but not outside the module. There is one caveat: Accessing "module-private" items outside of the module is controlled at run-time, not compile-time.  The compiler has no clue that a public in a dependent module isn't really public.  it will happily compile it.  At runtime you will definitely see fireworks.  The good news is that you don't have to wait for the code path that tries to use the "module-private" items to fire.  OSGi will complain loudly when that module gets loaded.  OSGi will refuse to load it.  You will see an error like this: remote failure: Error while loading FOO: Exception while adding the new configuration : Error occurred during deployment: Exception while loading the app : org.osgi.framework.BundleException: Unresolved constraint in bundle com.oracle.glassfish.miscreant.code [115]: Unable to resolve 115.0: missing requirement [115.0] osgi.wiring.package; (osgi.wiring.package=org.glassfish.mymodule.unexported). Please see server.log for more details. That is if you accidentally change code in module B to use a public that is really a "module-private" in module A, then you will see the error immediately when you try to test whatever you were changing in module B.

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• Coherence Data Guarantees for Data Reads - Basic Terminology

  - by jpurdy

  When integrating Coherence into applications, each application has its own set of requirements with respect to data integrity guarantees. Developers often describe these requirements using expressions like "avoiding dirty reads" or "making sure that updates are transactional", but we often find that even in a small group of people, there may be a wide range of opinions as to what these terms mean. This may simply be due to a lack of familiarity, but given that Coherence sits at an intersection of several (mostly) unrelated fields, it may be a matter of conflicting vocabularies (e.g. "consistency" is similar but different in transaction processing versus multi-threaded programming). Since almost all data read consistency issues are related to the concept of concurrency, it is helpful to start with a definition of that, or rather what it means for two operations to be concurrent. Rather than implying that they occur "at the same time", concurrency is a slightly weaker statement -- it simply means that it can't be proven that one event precedes (or follows) the other. As an example, in a Coherence application, if two client members mutate two different cache entries sitting on two different cache servers at roughly the same time, it is likely that one update will precede the other by a significant amount of time (say 0.1ms). However, since there is no guarantee that all four members have their clocks perfectly synchronized, and there is no way to precisely measure the time it takes to send a given message between any two members (that have differing clocks), we consider these to be concurrent operations since we can not (easily) prove otherwise. So this leads to a question that we hear quite frequently: "Are the contents of the near cache always synchronized with the underlying distributed cache?". It's easy to see that if an update on a cache server results in a message being sent to each near cache, and then that near cache being updated that there is a window where the contents are different. However, this is irrelevant, since even if the application reads directly from the distributed cache, another thread update the cache before the read is returned to the application. Even if no other member modifies a cache entry prior to the local near cache entry being updated (and subsequently read), the purpose of reading a cache entry is to do something with the result, usually either displaying for consumption by a human, or by updating the entry based on the current state of the entry. In the former case, it's clear that if the data is updated faster than a human can perceive, then there is no problem (and in many cases this can be relaxed even further). For the latter case, the application must assume that the value might potentially be updated before it has a chance to update it. This almost aways the case with read-only caches, and the solution is the traditional optimistic transaction pattern, which requires the application to explicitly state what assumptions it made about the old value of the cache entry. If the application doesn't want to bother stating those assumptions, it is free to lock the cache entry prior to reading it, ensuring that no other threads will mutate the entry, a pessimistic approach. The optimistic approach relies on what is sometimes called a "fuzzy read". In other words, the application assumes that the read should be correct, but it also acknowledges that it might not be. (I use the qualifier "sometimes" because in some writings, "fuzzy read" indicates the situation where the application actually sees an original value and then later sees an updated value within the same transaction -- however, both definitions are roughly equivalent from an application design perspective). If the read is not correct it is called a "stale read". Going back to the definition of concurrency, it may seem difficult to precisely define a stale read, but the practical way of detecting a stale read is that is will cause the encompassing transaction to roll back if it tries to update that value. The pessimistic approach relies on a "coherent read", a guarantee that the value returned is not only the same as the primary copy of that value, but also that it will remain that way. In most cases this can be used interchangeably with "repeatable read" (though that term has additional implications when used in the context of a database system). In none of cases above is it possible for the application to perform a "dirty read". A dirty read occurs when the application reads a piece of data that was never committed. In practice the only way this can occur is with multi-phase updates such as transactions, where a value may be temporarily update but then withdrawn when a transaction is rolled back. If another thread sees that value prior to the rollback, it is a dirty read. If an application uses optimistic transactions, dirty reads will merely result in a lack of forward progress (this is actually one of the main risks of dirty reads -- they can be chained and potentially cause cascading rollbacks). The concepts of dirty reads, fuzzy reads, stale reads and coherent reads are able to describe the vast majority of requirements that we see in the field. However, the important thing is to define the terms used to define requirements. A quick web search for each of the terms in this article will show multiple meanings, so I've selected what are generally the most common variations, but it never hurts to state each definition explicitly if they are critical to the success of a project (many applications have sufficiently loose requirements that precise terminology can be avoided).

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• Implementing a Custom Coherence PartitionAssignmentStrategy

  - by jpurdy

  A recent A-Team engagement required the development of a custom PartitionAssignmentStrategy (PAS). By way of background, a PAS is an implementation of a Java interface that controls how a Coherence partitioned cache service assigns partitions (primary and backup copies) across the available set of storage-enabled members. While seemingly straightforward, this is actually a very difficult problem to solve. Traditionally, Coherence used a distributed algorithm spread across the cache servers (and as of Coherence 3.7, this is still the default implementation). With the introduction of the PAS interface, the model of operation was changed so that the logic would run solely in the cache service senior member. Obviously, this makes the development of a custom PAS vastly less complex, and in practice does not introduce a significant single point of failure/bottleneck. Note that Coherence ships with a default PAS implementation but it is not used by default. Further, custom PAS implementations are uncommon (this engagement was the first custom implementation that we know of). The particular implementation mentioned above also faced challenges related to managing multiple backup copies but that won't be discussed here. There were a few challenges that arose during design and implementation: Naive algorithms had an unreasonable upper bound of computational cost. There was significant complexity associated with configurations where the member count varied significantly between physical machines. Most of the complexity of a PAS is related to rebalancing, not initial assignment (which is usually fairly simple). A custom PAS may need to solve several problems simultaneously, such as: Ensuring that each member has a similar number of primary and backup partitions (e.g. each member has the same number of primary and backup partitions) Ensuring that each member carries similar responsibility (e.g. the most heavily loaded member has no more than one partition more than the least loaded). Ensuring that each partition is on the same member as a corresponding local resource (e.g. for applications that use partitioning across message queues, to ensure that each partition is collocated with its corresponding message queue). Ensuring that a given member holds no more than a given number of partitions (e.g. no member has more than 10 partitions) Ensuring that backups are placed far enough away from the primaries (e.g. on a different physical machine or a different blade enclosure) Achieving the above goals while ensuring that partition movement is minimized. These objectives can be even more complicated when the topology of the cluster is irregular. For example, if multiple cluster members may exist on each physical machine, then clearly the possibility exists that at certain points (e.g. following a member failure), the number of members on each machine may vary, in certain cases significantly so. Consider the case where there are three physical machines, with 3, 3 and 9 members each (respectively). This introduces complexity since the backups for the 9 members on the the largest machine must be spread across the other 6 members (to ensure placement on different physical machines), preventing an even distribution. For any given problem like this, there are usually reasonable compromises available, but the key point is that objectives may conflict under extreme (but not at all unlikely) circumstances. The most obvious general purpose partition assignment algorithm (possibly the only general purpose one) is to define a scoring function for a given mapping of partitions to members, and then apply that function to each possible permutation, selecting the most optimal permutation. This would result in N! (factorial) evaluations of the scoring function. This is clearly impractical for all but the smallest values of N (e.g. a partition count in the single digits). It's difficult to prove that more efficient general purpose algorithms don't exist, but the key take away from this is that algorithms will tend to either have exorbitant worst case performance or may fail to find optimal solutions (or both) -- it is very important to be able to show that worst case performance is acceptable. This quickly leads to the conclusion that the problem must be further constrained, perhaps by limiting functionality or by using domain-specific optimizations. Unfortunately, it can be very difficult to design these more focused algorithms. In the specific case mentioned, we constrained the solution space to very small clusters (in terms of machine count) with small partition counts and supported exactly two backup copies, and accepted the fact that partition movement could potentially be significant (preferring to solve that issue through brute force). We then used the out-of-the-box PAS implementation as a fallback, delegating to it for configurations that were not supported by our algorithm. Our experience was that the PAS interface is quite usable, but there are intrinsic challenges to designing PAS implementations that should be very carefully evaluated before committing to that approach.

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