Search Results

Search found 12530 results on 502 pages for 'icc cricket world cup 2011'.

Page 196/502 | < Previous Page | 192 193 194 195 196 197 198 199 200 201 202 203  | Next Page >

  • Finalists for the Microsoft Accelerator for Windows Azure

    - by ScottGu
    Today, I am pleased to announce the ten finalists for the Microsoft Accelerator for Windows Azure powered by TechStars. These startups are about to launch into a three-month program where they will develop new products and businesses using Windows Azure. The response to the program has been fantastic - we received nearly 600 applications from entrepreneurs in 69 countries around the world, spanning a host of industries including retail, travel, entertainment, banking, real estate and more.  There were so many innovative ideas and amazing teams that it really made the selection process hard.  We finally landed on 10 finalists, based on their experience, qualifications, and innovative business ideas built on the cloud. This fall’s Windows Azure class includes: Advertory – Berlin, Germany. Advertory helps local businesses increase revenue and build customer loyalty. Appetas – Seattle, WA. Appetas' mission is to make restaurants look as beautiful online as they do on the plate! BagsUp – Sydney, Australia. Find great places from people you trust. Embarke – San Diego, CA. Embarke allows developers and companies the ability to integrate with any human communication channel (Facebook, Email, Text Message, Twitter) without having to learn the specifics, write code, or spend time on any of them. Fanzo – Seattle, WA. Fanzo puts sports fans in the spotlight. Find other fans, show off your fanswagger and get rewarded for your passion. MetricsHub – Bellevue, WA. A service providing cloud monitoring with incident detection and prebuilt workflows for remedying common problems. Mobilligy – Bellevue, WA. Mobilligy revolutionizes how people pay their bills by bringing convenient, secure, and instant bill payment support to mobile devices. Realty Mogul – Los Angeles, CA. Realty Mogul is a crowdfunding platform for real estate where accredited investors pool capital and invest in properties that are acquired, managed and eventually resold by professional private real estate companies and their management teams. Staq – San Francisco, CA. Back-end as a service for APIs. Socedo – Bellevue, WA. A simple and effective web application for lead generation and relationship management on Twitter. Each startup will be hosted in Seattle and mentored by entrepreneurs and venture capitalists as well as leaders from Windows Azure and other Microsoft organizations. The teams will spend the first month ideating and refining their business concepts with input and advice from their mentors as well as Microsoft customers, followed by two months of design and development. They will present their results to investors and Microsoft partners at an event in mid-January. We are really looking forward to seeing how their businesses evolve.  These teams have demonstrated incredible energy, passion, and innovative capabilities – and they are ready to show the world what’s possible with Windows Azure. Thanks, Scott P.S. And if you are new to Twitter you can also optionally follow me: @scottgu

    Read the article

  • Many Stack Overflow users' pages have no Google PageRank and they are not indexed, why?

    - by Marco Demaio
    If you go to my user page on Stack Overflow and you check it with the Google Toolbar, you can see it has no PageRank at all (this does happen for almost any user page, even people with much higher reputation, the only exceptions seem to be the users in page 1, and some other users they have PR). My user page's Page Rank is not only zero, but not calculated at all. When PR is 0 or less than 1, but calculated the Google bar shows white, but when the PR is not even calculated like in my user page the Google bar shows in grey. I further more discovered that my user page is NOT EVEN INDEXED on Google, simple test is searching on Google for the exact page url: "http://stackoverflow.com/users/260080/marco-demaio" and you will see no result. The question is how can this be??? This is really weird to me because of the following reason: If you search on Google for "Marco Demaio" on Stack Overflow only (you can do this by searching "site:stackoverflow.com Marco Demaio") the search result shows hundreds of 'asking/answering questions' pages where I was 'tagged'!!! Let's check one of these: the 1st one that appears now (shows one of the question I asked). We can be sure this page is indexed in Google because comes out in a search. Moreover, its PR is calculated. It's probably nearly zero. Still, some PR flows there, the PR bar is not grey, but white: The page shown above has got links to my own user page. I checked the source code of the page shown above and the links are not hidden or set with a rel="nofollow", moreover I can't see any meta character excluding the links on the page from being followed. So what's happening? Why Google does not see my user page at all. Did Stack Overflow do something to achieve this? If yes what did they do? Any explanation really appreciates (as always). P.S. obviously I checked also the code of my user page, but I could not find meta tags excluding Google search for the page. P.S. 2 in a desperate adventure I also checked Stack Overflow's robots.txt but it does not seem to exclude user pages. UPDATE 1 following up on some answers, I did some more research. Excluding for a while the PR problem (since PR is not science), and looking only at the user page on Stack Overflow NOT BEING INDEXED problem: pages do not seem to be indexed by Google because of the user reputation, this user for instance has got NOW 200 points less reputation than me and his page is indexed (while mine not). It does not seem even to be connected with months you have been on Stack Overflow, this user (almost my same reputation) has been there for 3 months only and his page is indexed (while mine not and I have been a user for 7 months). It's bizarre! UPDATE February/2011 As of today, the page got indexed by Google at least when you search for "site:stackoverflow.com Marco Demaio" it's the 1st page. The amazing thing is that it has still got NO PageRank at all: Google toolbar states loud and clear "No PageRank information available". It's odd!

    Read the article

  • links for 2011-01-13

    - by Bob Rhubart
    Webcast: Oracle WebCenter Suite: Giving Users a Modern Experience Speakers: Vince Casarez (VP Enterprise 2.0 Product Management, Oracle),  Erin Smith (Consulting Practice Manager – Portals, Oracle), Robert Wessa (Consulting Technical Director – Enterprise 2.0 Infrastructure, Oracle)  (tags: oracle otn webcenter webcast enterprise2.0) Oracle & StickyMinds.com Webcast: Load Testing Techniques for Enterprise Applications Mughees Minhas, Senior Director of Product Management, Oracle Server Technologies, answers your questions about the latest techniques for effectively and efficiently testing enterprise application performance. Thursday, January 20, 2011. 10am PT / 1pm ET. (tags: oracle otn stickymings webcast) Bay Area Coherence Special Interest Group (BACSIG) Jan 20, 5:30pm - 8:00pm PT. Presentations: Coherence 3.6 Clustering Features (Rob Lee), Efficient Management and Update of Coherence Clusters to Reduce Down Time ( Rao Bhethanabotla), How To Build a Coherence Practice (Christer Fahlgren). (tags: oracle, otn coherence bacsig) Podcast Show Notes: William Ulrich and Neal McWhorter on Business Architecture (ArchBeat) A four-part interview with the authors of  "Business Architecture: The Art and Practice of Business Transformation"  (tags: oracle otn podcast businessarchitecture) John Brunswick: Overlapping Social Networks in your Enterprise? Strategies to Understand and Govern "Overall it is important to consider if tacit knowledge being captured by the social systems is able to be retained and somehow summarized into an overall organizational directory." - John Brunswick (tags: oracle otn enterprise2.0 socialnetworking) Coherence - How to develop a custom push replication publisher (Middlewarepedia) Cosmin Todur describes "a way of developing a custom push replication publisher that publishes data to a database via JDBC."  (tags: oracle coherence grid) Aino Andriessen: Oracle Diagnostics Logging (ODL) for application development "Logging is a very important aspect of application development as it offers run-time access to the behaviour and data of the application. It’s important for debugging purposes but also to investigate exception situations on production." -- Aino Andriessen (tags: oracle odl java jdeveloper weblogic) Security issues when upgrading a Web Catalog from 10g to 11g Oracle BI By Bakboord "I blogged about upgrading from Oracle BI EE 10g to Oracle BI EE 11g R1 earlier. Although this is a very straight forward process, you could end up with some security issues." -- Daan Bakboord (tags: oracle businessintelligence obiee) Angelo Santagata: SOA Composite Sensors : Good Practice "A good best practice is that for any composites you create, consider publishing a composite sensor value using a primary key of some sort , e.g. orderId, that way if you need to manipulate/query composites you can easily look up the instanceId using the sensorid." - Angelo Santagata (tags: oracle soa sca) Javier Ductor: WebCenter Spaces 11g PS2 Task Flow Customization "Previously, I wrote about Spaces Template Customization. In order to adapt Spaces to customers prototype, it was necessary to change template and skin, as well as the members task flow. In this entry, I describe how to customize this task flow." - Javier Ductor (tags: oracle otn enterprise2.0 webcenter) RonBatra's blog: Cloud Computing Series: VI: Industry Directions "When someone says their 'Product/Solution is in the Cloud,' ask them basic questions to seperate the spin from the reality. I would start with 'tell me what that means' and see which way the conversation goes." - Oracle ACE Director Ron Batra (tags: oracle otn oracleace cloud) First JSRs Proposed for Java EE 7 (The Java Source) With the approval of Java SE 7 and Java SE 8 JSRs last month, attention is now shifting towards the Java EE platform. (tags: oracle java jsr javaee)

    Read the article

  • Skechers Leverages Oracle Applications, Business Intelligence and On Demand Offerings to Drive Long-Term Growth

    - by user801960
    This month Oracle Retail in the USA announced that Skechers - a world leading lifestyle footwear retailer - would be adopting several Oracle Retail products as part of their global growth strategy and to maximise business efficiency.  While based primarily in the USA, Skechers is a respected retailer across the world and has been an Oracle customer since 1997.  The key information about the announcement is below.  To find out more about Skechers visit their website: http://www.skechers.com/  Skechers U.S.A. Inc., an award-winning global leader in the lifestyle footwear industry, has upgraded and expanded its Oracle® Applications investment, implemented Oracle Database and moved to Oracle On Demand, Oracle’s premier cloud service to support rapid growth across its retail and wholesale channels. The new business information systems are part of a larger initiative for the billion-dollar-plus footwear company to fuel growth, reduce total cost of ownership and enable the business to respond faster to market opportunities. With more than 3,000 styles of shoes to design, develop and market, Skechers upgraded to Oracle’s PeopleSoft Enterprise Financial Management and PeopleSoft Supply Chain Management to increase operational efficiencies and improve controls by establishing an integrated, industry-specific platform. An Oracle customer since 1997, Skechers implemented PeopleSoft Enterprise Real Estate Management to meet the rapid growth of its retail stores worldwide. The company is the first customer to go live on the Real Estate Management module and worked closely with Oracle to provide development insight. Skechers also implemented Oracle Fusion Governance, Risk, and Compliance applications. This deployment enabled the company to leverage its existing corporate governance and compliance efforts throughout the global enterprise and more effectively manage the audit processes across multiple business units, processes and systems while reducing audit costs. Next, Skechers leveraged Oracle Financial Analytics, a pre-built Oracle Business Intelligence Application and PeopleSoft Enterprise Project Costing and PeopleSoft Enterprise Contracts to develop a custom Royalty Management dashboard, providing managers with better financial visibility to the company’s licensing contracts. The company switched to Oracle Database and moved database hosting and management to Oracle On Demand to reduce maintenance, implementation and system administration costs. As a result, Skechers is also achieving a better response time and is delivering a higher level of 24x7 support. OSI Consulting, a Platinum partner in Oracle PartnerNetwork (OPN), provided implementation and integration services to Skechers.   To view the full announcement please click here

    Read the article

  • Web application / Domain model integration using JSON capable DTOs [on hold]

    - by g-makulik
    I'm a bit confused about architectural choices for the web-applications/java/python world. For c/c++ world the available (open source) choices to implement web applications is pretty limited to zero, involving java or python the choices explode to a,- hard to sort out -, mess of available 'frameworks' and application approaches. I want to sort out a clean MVC model, where the M stands for a fully blown (POCO, POJO driven) domain model (according M.Fowler's EAA pattern) using a mature OO language (Java,C++) for implementation. The background is: I have a system with certain hardware components (that introduce system immanent active behavior) and a configuration database for system meta and HW-components configuration data (these are even usually self contained, since the HW-components are capable to persist their configuration data anyway). For realization of the configuration/status data exchange protocol with the HW-components we have chosen the Google Protobuf format, which works well for the directly wired communication with these components. This protocol is already used successfully with a Java based GUI application via TCP/IP connection to the main system controlling HW-component. This application has some drawbacks and design flaws for historical reasons. Now we want to develop an abstract model (domain model) for configuration and monitoring those HW-components, that represents a more use case oriented view to the overall system behavior. I have the feeling that a plain Java class model would fit best for this (c++ implementation seems to have too much implementation/integration overhead with viable language-bridge interfaces). Google Protobuf message definitions could still serve well to describe DTO objects used to interact with a domain model API. But integrating Google Protobuf messages client side for e.g. data binding in the current view doesn't seem to be a good choice. I'm thinking about some extra serialization features, e.g. for JSON based data exchange with the views/controllers. Most lightweight solutions seem to involve a python based presentation layer using JSON based data transfer (I'm at least not sure to be fully informed about this). Is there some lightweight (applicable for a limited ARM Linux platform) framework available, supporting such architecture to realize a web-application? UPDATE: According to my recent research and comments of colleagues I've noticed that using Java (and some JVM) might not be the preferable choice for integration with python on a limited linux system as we have (running on ARM9 with hard to discuss memory and MCU costs), but C/C++ modules would do well for this (since this forms the native interface to python extensions, doesn't it?). I can imagine to provide a domain model from an appropriate C/C++ API (though I still think it's more efforts and higher skill requirements for the involved developers to do with these languages). Still I'm searching for a good approach that supports such architecture. I'll appreciate any pointers!

    Read the article

  • Microsoft Claims Success Versus Autorun Malware

    Microsoft recently used a post on the Threat Research and Response Blog section of its Malware Protection Center to describe how it is winning the battle against autorun malware. Although there is certainly no shortage of malware in the virtual world Microsoft has plenty of statistics to back its claims and it has displayed them with pride.... DNS Configured Correctly? Test Your Internal DNS With Our Free DNS Advisor Tool From Infoblox.

    Read the article

  • QotD: Justin Kestelyn, Editor in Chief of Java Magazine on OpenJDK

    - by $utils.escapeXML($entry.author)
    Things have changed now. Java SE 7 is available, and Java SE 8 is on the way; Java developer conferences around the world are selling out in short order; Java skills are in high demand by recruiters; and the Java community is reinvigorated thanks to efforts including the OpenJDK project, the Adopt-a-JSR program, and—if I may be so bold—even this publication.Justin Kestelyn, Editor in Chief of the Java Magazine, in the opening 'from the editor' article in the magazine's March/April edition.

    Read the article

  • Show #14 DotNetNuke 5.6.1, Razor/Webmatrix and WebCamps

    - by Chris Hammond
    Once again, it’s been far too long since the last show, this time just over 4 months, For Show #14 I am joined by Joe Brinkman. Take a listen and see what has been going on in the DNN world. Length: 47:56 Size: 43.8mb MP3 Download Welcome back to DNNVoice Welcome to guest Joe Brinkman ( http://blog.theaccidentalgeek.com/ ) Introduction to Joe and Welcome back from Chris Hammond ( http://www.chrishammond.com ) and what he's been doing DotNetNuke Training Free Extensions Module Development Templates...(read more)

    Read the article

  • Le Logiciel Libre – Omniprésent dans le secteur public

    - by gravax
    NOTE : Cet article a servi de base à du contenu publié en Juin 2011 dans le magazine Acteurs Publics. Créé il y a plusieurs décennies déjà, pour répondre à un besoin de partage de savoir, et de compétences, le Logiciel Libre existe sous plusieurs appellations, à l'origine anglo-saxonnes, dont « Free Software » et « Open Source » sont les plus utilisées. En Anglais, le mot « Free » pouvant signifier à la fois libre et gratuit, cela a créé une certaine confusion qui n'existe pas en Français avec le mot « libre ». Du coup, on voit souvent l’acronyme FOSS ou FLOSS, pour « Free, Libre, Open Source Software » afin d'éliminer l’ambiguïté. De nos jours, dans le secteur public, le logiciel libre est, depuis, devenu omniprésent. Il répond à plusieurs besoins critiques dont le contrôle des coûts, le choix (de partenaire, de logiciel, de fonctionnalités), la liberté de pouvoir modifier les applications pour les adapter à ses propres besoins, la sécurité provenant du fait que de nombreux développeurs et utilisateurs ont pu contrôler la qualité du code. Un autre aspect très présent dans les logiciels libres et l'adhérence quasi-systématique aux standards de l'industrie, qui garantit une intégration simple et facile au système d'information existant. Il y a cependant des éléments à prendre en compte lors des choix de logiciels libres stratégiques. Si l'aspect coûts est clairement un élément de choix qui peut conduire aux logiciels libres, il est principalement dû au fait qu'un logiciel libre existe souvent en version gratuite, librement téléchargeable. Mais ceci n'est que le le sommet de l'iceberg. Lors de la mise en production de logiciels il va falloir s'entourer de services dont l'intégration, où les possibilités de choix d'un partenaire seront d'autant plus grandes que le logiciel choisi est populaire et connu, ce qui conduira à des coups tirés vers le bas grâce à une concurrence saine. Mais il faudra aussi prévoir le support technique. La encore, la popularité du logiciel choisi augmentera la palette de prestataires de support possible. Le choix devra se faire suivant des critères très solides, et en particulier la capacité à s'engager sur des niveaux de service, la disponibilité 24 heures sur 24, 7 jours sur 7 (le pays ne s’arrête pas de fonctionner le week-end ou la nuit), et, éventuellement, la couverture géographique correspondant aux métiers que l'on exerce (un pays comme la France couvrant avec ses DOM et ses TOM une grande partie des fuseaux horaires et zones géographiques de la planète). La plus part des services publics, que ce soit éducation, santé, ou gouvernement, utilisent déjà des logiciels libres. On les retrouve coté infrastructure, avec des produits comme la base de données MySQL, fortement appréciée dans le monde de l'éducation pour construire des plate-formes d'e-éducation en conjonction avec d'autres produits libres tels Moodle, ou GlassFish, le serveur d'applications très prisé des développeurs pour son adhérence au standard Java EE version 6 et sa simplicité de mise-en-œuvre. Linux est extrêmement présent comme système d'exploitation libre dans le datacenter, mais aussi sur le poste de travail. On retrouve des outils de virtualisation tels Oracle VM, issu de Xen, dans le datacenter, et VirtualBox sur le poste du développeur. Avec une telle palette de solutions et d'outils dans le monde du Logiciel libre, Oracle se apporte au secteur public des réponses ciblées, efficaces, aux besoins du marché, y compris en matière de support technique et qualité de service associée.

    Read the article

  • Friday Fun: Spell Blazer

    - by Asian Angel
    Are you ready for some fun and adventure after a long week back at work? This week’s game combines jewel-matching style game play with an RPG story for an awesome mix of fun and fiction. Your goal is to help a young wizard reach the magic academy in Raven as the forces of darkness are building. Spell Blazer The object of the game is to help young Kaven reach the Lightcaster Academy in Raven alive, but he will encounter many dangers along the way. Are you ready to begin the quest? As soon as you click Start Game the intro will automatically begin. If this is your first time playing the game the intro provides a nice background story for the game and what is happening in the game environment. Once you are past the intro, you will see a map of the region with your starting point in the Farmlands, various towns and the roads connecting them, along with your final destination of Raven. Notice that some of the roads are different colors…those colors indicate the “danger levels” for each part of your journey (green = good, yellow = some danger, etc.). To begin your journey click on the Town of Goose with your mouse. You will encounter your first monster part of the way towards Goose. This first round takes you through the game play process step-by-step. Once you have clicked Okay you will see the details about the monster you have just encountered. It is very important that you do not click on Fight! or Flee! until viewing and noting the types of spells that the monster is resistant to or has a weakness against. Choose your spells wisely based on the information provided about the monster. Keep in mind that the healing spell can be very useful depending on the monster you meet and your current health status. Note: Spells shown in order here are Healing, Fireball, Icebolt, & Lightning. Ready to fight! The first battle will also explain how to fight…click Okay to get started. Once the main window is in full view there are details that you need to look at. Beneath each of the combatants you will see the three attacks that each brings to the battle and at the bottom you will see their respective health points. We got lucky and had an Icebolt attack that we could utilize on the first play! Note: You can exchange two squares without making a match in order to try and line up an attack. While it happened too quickly to capture in our screenshot, there will be cool lightning bolt effects shoot out from matched up squares to the opposite combatant. You will also see the amount of damage inflicted from a particular attack on top of the avatars. Victory! Once you have won a round of combat a window will appear showing the amount of gold coins left behind by the monster. When you reach a town you will have the opportunity to stop over and rest or directly continue on with your journey. On to Halgard after a good rest! Play Spell Blazer Latest Features How-To Geek ETC How To Boot 10 Different Live CDs From 1 USB Flash Drive The 20 Best How-To Geek Linux Articles of 2010 The 50 Best How-To Geek Windows Articles of 2010 The 20 Best How-To Geek Explainer Topics for 2010 How to Disable Caps Lock Key in Windows 7 or Vista How to Use the Avira Rescue CD to Clean Your Infected PC The Deep – Awesome Use of Metal Objects as Deep Sea Creatures [Video] Convert or View Documents Online Easily with Zoho, No Account Required Build a Floor Scrubbing Robot out of Computer Fans and a Frisbee Serene Blue Windows Wallpaper for Your Desktop 2011 International Space Station Calendar Available for Download (Free) Ultimate Elimination – Lego Black Ops [Video]

    Read the article

  • ATG Live Webcast: Advanced E-Business Suite Architectures

    - by BillSawyer
    I am pleased to announce the ATG Live Webcast event for Dec. 8th, 2011: Advanced E-Business Suite Architectures Join Elke Phelps, Senior Principal Product Manager and Sriram Veeraraghavan, Senior Principal Software Engineer as they discuss advanced E-Business Suite architectures that can help you improve performance, scalability, business continuity, utilization, provisioning, and security. This one-hour webcasts provides an overview of advanced architectures with Q&A. This session will cover the latest advanced architectural options, including the use of Oracle database high-availability features and functions such as Real Application Clusters, ASM, Active Data Guard, clouds, virtualization, Oracle VM, high-availability and load-balancing architectures, WebLogic Server, and more. This session will also cover the latest updates to systems management tools like AutoConfig, and may also include sneak previews of upcoming functionality. This event is targeted to architects, system administrators, DBAs, developers, and implementers. The agenda for the Advanced E-Business Suite Architectures webcast includes the following topics: Advanced Oracle E-Business Suite Architectures Optional External Integrations Oracle E-Business Suite 12.2 Improving Performance and Scalability Providing Business Continuity Improving Utilization and Provisioning Improving Security Date:            Thursday, December 8, 2011Time:           8:00 AM - 9:00 AM Pacific Standard TimePresenter:  Elke Phelps, Senior Principal Product Manager                      Sriram Veeraraghavan, Senior Principal Software EngineerWebcast Registration Link (Preregistration is optional but encouraged)To hear the audio feed:    Domestic Participant Dial-In Number:           877-697-8128    International Participant Dial-In Number:      706-634-9568    Additional International Dial-In Numbers Link:    Dial-In Passcode:                                              98514To see the presentation:    The Direct Access Web Conference details are:    Website URL: https://ouweb.webex.com    Meeting Number:  273291684If you miss the webcast, or you have missed any webcast, don't worry -- we'll post links to the recording as soon as it's available from Oracle University.  You can monitor this blog for pointers to the replay. And, you can find our archive of our past webcasts and training at http://blogs.oracle.com/stevenChan/entry/e_business_suite_technology_learningIf you have any questions or comments, feel free to email Bill Sawyer (Senior Manager, Applications Technology Curriculum) at BilldotSawyer-AT-Oracle-DOT-com.

    Read the article

  • SQL SERVER – Understanding XML – Contest Win Joes 2 Pros Combo (USD 198) – Day 5 of 5

    - by pinaldave
    August 2011 we ran a contest where every day we give away one book for an entire month. The contest had extreme success. Lots of people participated and lots of give away. I have received lots of questions if we are doing something similar this month. Absolutely, instead of running a contest a month long we are doing something more interesting. We are giving away USD 198 worth gift every day for this week. We are giving away Joes 2 Pros 5 Volumes (BOOK) SQL 2008 Development Certification Training Kit every day. One copy in India and One in USA. Total 2 of the giveaway (worth USD 198). All the gifts are sponsored from the Koenig Training Solution and Joes 2 Pros. The books are available here Amazon | Flipkart | Indiaplaza How to Win: Read the Question Read the Hints Answer the Quiz in Contact Form in following format Question Answer Name of the country (The contest is open for USA and India residents only) 2 Winners will be randomly selected announced on August 20th. Question of the Day: Is following XML a well formed XML Document? <?xml version=”1.0″?> <address> <firstname>Pinal</firstname> <lastname>Dave</lastname> <title>Founder</title> <company>SQLAuthority.com</company> </address> a) Yes b) No c) I do not know Query Hints: BIG HINT POST A common observation by people seeing an XML file for the first time is that it looks like just a bunch of data inside a text file. XML files are text-based documents, which makes them easy to read.  All of the data is literally spelled out in the document and relies on a just a few characters (<, >, =) to convey relationships and structure of the data.  XML files can be used by any commonly available text editor, like Notepad. Much like a book’s Table of Contents, your first glance at well-formed XML will tell you the subject matter of the data and its general structure. Hints appearing within the data help you to quickly identify the main theme (similar to book’s subject), its headers (similar to chapter titles or sections of a book), data elements (similar to a book’s characters or chief topics), and so forth. We’ll learn to recognize and use the structural “hints,” which are XML’s markup components (e.g., XML tags, root elements). The XML Raw and Auto modes are great for displaying data as all attributes or all elements – but not both at once. If you want your XML stream to have some of its data shown in attributes and some shown as elements, then you can use the XML Path mode. If you are using an XML Path stream, then by default all values will be shown as elements. However, it is possible to pick one or more elements to be shown with an attribute(s) as well. Additional Hints: I have previously discussed various concepts from SQL Server Joes 2 Pros Volume 5. SQL Joes 2 Pros Development Series – OpenXML Options SQL Joes 2 Pros Development Series – Preparing XML in Memory SQL Joes 2 Pros Development Series – Shredding XML SQL Joes 2 Pros Development Series – Using Root With Auto XML Mode SQL Joes 2 Pros Development Series – Using Root With Auto XML Mode SQL Joes 2 Pros Development Series – What is XML? SQL Joes 2 Pros Development Series – What is XML? – 2 Next Step: Answer the Quiz in Contact Form in following format Question - Answer Name of the country (The contest is open for USA and India) Bonus Winner Leave a comment with your favorite article from the “additional hints” section and you may be eligible for surprise gift. There is no country restriction for this Bonus Contest. Do mention why you liked it any particular blog post and I will announce the winner of the same along with the main contest. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Joes 2 Pros, PostADay, SQL, SQL Authority, SQL Puzzle, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

    Read the article

  • Intel Xeon 5600 (Westmere-EP) and 7500 (Nehalem-EX)

    - by jchang
    Intel Xeon 5600 (Westmere-EP) and 7500 (Nehalem-EX) Performance Intel launched the Xeon 5600 series (Westmere-EP, 32nm) six-core processors on 16 March 2010 without any TPC benchmark results. In the performance world, no results almost always mean bad or not good results. Yet there is every reason to believe that the Xeon 5600 series with six-cores (X models only) will performance exactly as expected for a 50% increase in the number of cores at the same frequency (as the 5500) with no system level...(read more)

    Read the article

  • SPARC T4-4 Beats 8-CPU IBM POWER7 on TPC-H @3000GB Benchmark

    - by Brian
    Oracle's SPARC T4-4 server delivered a world record TPC-H @3000GB benchmark result for systems with four processors. This result beats eight processor results from IBM (POWER7) and HP (x86). The SPARC T4-4 server also delivered better performance per core than these eight processor systems from IBM and HP. Comparisons below are based upon system to system comparisons, highlighting Oracle's complete software and hardware solution. This database world record result used Oracle's Sun Storage 2540-M2 arrays (rotating disk) connected to a SPARC T4-4 server running Oracle Solaris 11 and Oracle Database 11g Release 2 demonstrating the power of Oracle's integrated hardware and software solution. The SPARC T4-4 server based configuration achieved a TPC-H scale factor 3000 world record for four processor systems of 205,792 QphH@3000GB with price/performance of $4.10/QphH@3000GB. The SPARC T4-4 server with four SPARC T4 processors (total of 32 cores) is 7% faster than the IBM Power 780 server with eight POWER7 processors (total of 32 cores) on the TPC-H @3000GB benchmark. The SPARC T4-4 server is 36% better in price performance compared to the IBM Power 780 server on the TPC-H @3000GB Benchmark. The SPARC T4-4 server is 29% faster than the IBM Power 780 for data loading. The SPARC T4-4 server is up to 3.4 times faster than the IBM Power 780 server for the Refresh Function. The SPARC T4-4 server with four SPARC T4 processors is 27% faster than the HP ProLiant DL980 G7 server with eight x86 processors on the TPC-H @3000GB benchmark. The SPARC T4-4 server is 52% faster than the HP ProLiant DL980 G7 server for data loading. The SPARC T4-4 server is up to 3.2 times faster than the HP ProLiant DL980 G7 for the Refresh Function. The SPARC T4-4 server achieved a peak IO rate from the Oracle database of 17 GB/sec. This rate was independent of the storage used, as demonstrated by the TPC-H @3000TB benchmark which used twelve Sun Storage 2540-M2 arrays (rotating disk) and the TPC-H @1000TB benchmark which used four Sun Storage F5100 Flash Array devices (flash storage). [*] The SPARC T4-4 server showed linear scaling from TPC-H @1000GB to TPC-H @3000GB. This demonstrates that the SPARC T4-4 server can handle the increasingly larger databases required of DSS systems. [*] The SPARC T4-4 server benchmark results demonstrate a complete solution of building Decision Support Systems including data loading, business questions and refreshing data. Each phase usually has a time constraint and the SPARC T4-4 server shows superior performance during each phase. [*] The TPC believes that comparisons of results published with different scale factors are misleading and discourages such comparisons. Performance Landscape The table lists the leading TPC-H @3000GB results for non-clustered systems. TPC-H @3000GB, Non-Clustered Systems System Processor P/C/T – Memory Composite(QphH) $/perf($/QphH) Power(QppH) Throughput(QthH) Database Available SPARC Enterprise M9000 3.0 GHz SPARC64 VII+ 64/256/256 – 1024 GB 386,478.3 $18.19 316,835.8 471,428.6 Oracle 11g R2 09/22/11 SPARC T4-4 3.0 GHz SPARC T4 4/32/256 – 1024 GB 205,792.0 $4.10 190,325.1 222,515.9 Oracle 11g R2 05/31/12 SPARC Enterprise M9000 2.88 GHz SPARC64 VII 32/128/256 – 512 GB 198,907.5 $15.27 182,350.7 216,967.7 Oracle 11g R2 12/09/10 IBM Power 780 4.1 GHz POWER7 8/32/128 – 1024 GB 192,001.1 $6.37 210,368.4 175,237.4 Sybase 15.4 11/30/11 HP ProLiant DL980 G7 2.27 GHz Intel Xeon X7560 8/64/128 – 512 GB 162,601.7 $2.68 185,297.7 142,685.6 SQL Server 2008 10/13/10 P/C/T = Processors, Cores, Threads QphH = the Composite Metric (bigger is better) $/QphH = the Price/Performance metric in USD (smaller is better) QppH = the Power Numerical Quantity QthH = the Throughput Numerical Quantity The following table lists data load times and refresh function times during the power run. TPC-H @3000GB, Non-Clustered Systems Database Load & Database Refresh System Processor Data Loading(h:m:s) T4Advan RF1(sec) T4Advan RF2(sec) T4Advan SPARC T4-4 3.0 GHz SPARC T4 04:08:29 1.0x 67.1 1.0x 39.5 1.0x IBM Power 780 4.1 GHz POWER7 05:51:50 1.5x 147.3 2.2x 133.2 3.4x HP ProLiant DL980 G7 2.27 GHz Intel Xeon X7560 08:35:17 2.1x 173.0 2.6x 126.3 3.2x Data Loading = database load time RF1 = power test first refresh transaction RF2 = power test second refresh transaction T4 Advan = the ratio of time to T4 time Complete benchmark results found at the TPC benchmark website http://www.tpc.org. Configuration Summary and Results Hardware Configuration: SPARC T4-4 server 4 x SPARC T4 3.0 GHz processors (total of 32 cores, 128 threads) 1024 GB memory 8 x internal SAS (8 x 300 GB) disk drives External Storage: 12 x Sun Storage 2540-M2 array storage, each with 12 x 15K RPM 300 GB drives, 2 controllers, 2 GB cache Software Configuration: Oracle Solaris 11 11/11 Oracle Database 11g Release 2 Enterprise Edition Audited Results: Database Size: 3000 GB (Scale Factor 3000) TPC-H Composite: 205,792.0 QphH@3000GB Price/performance: $4.10/QphH@3000GB Available: 05/31/2012 Total 3 year Cost: $843,656 TPC-H Power: 190,325.1 TPC-H Throughput: 222,515.9 Database Load Time: 4:08:29 Benchmark Description The TPC-H benchmark is a performance benchmark established by the Transaction Processing Council (TPC) to demonstrate Data Warehousing/Decision Support Systems (DSS). TPC-H measurements are produced for customers to evaluate the performance of various DSS systems. These queries and updates are executed against a standard database under controlled conditions. Performance projections and comparisons between different TPC-H Database sizes (100GB, 300GB, 1000GB, 3000GB, 10000GB, 30000GB and 100000GB) are not allowed by the TPC. TPC-H is a data warehousing-oriented, non-industry-specific benchmark that consists of a large number of complex queries typical of decision support applications. It also includes some insert and delete activity that is intended to simulate loading and purging data from a warehouse. TPC-H measures the combined performance of a particular database manager on a specific computer system. The main performance metric reported by TPC-H is called the TPC-H Composite Query-per-Hour Performance Metric (QphH@SF, where SF is the number of GB of raw data, referred to as the scale factor). QphH@SF is intended to summarize the ability of the system to process queries in both single and multiple user modes. The benchmark requires reporting of price/performance, which is the ratio of the total HW/SW cost plus 3 years maintenance to the QphH. A secondary metric is the storage efficiency, which is the ratio of total configured disk space in GB to the scale factor. Key Points and Best Practices Twelve Sun Storage 2540-M2 arrays were used for the benchmark. Each Sun Storage 2540-M2 array contains 12 15K RPM drives and is connected to a single dual port 8Gb FC HBA using 2 ports. Each Sun Storage 2540-M2 array showed 1.5 GB/sec for sequential read operations and showed linear scaling, achieving 18 GB/sec with twelve Sun Storage 2540-M2 arrays. These were stand alone IO tests. The peak IO rate measured from the Oracle database was 17 GB/sec. Oracle Solaris 11 11/11 required very little system tuning. Some vendors try to make the point that storage ratios are of customer concern. However, storage ratio size has more to do with disk layout and the increasing capacities of disks – so this is not an important metric in which to compare systems. The SPARC T4-4 server and Oracle Solaris efficiently managed the system load of over one thousand Oracle Database parallel processes. Six Sun Storage 2540-M2 arrays were mirrored to another six Sun Storage 2540-M2 arrays on which all of the Oracle database files were placed. IO performance was high and balanced across all the arrays. The TPC-H Refresh Function (RF) simulates periodical refresh portion of Data Warehouse by adding new sales and deleting old sales data. Parallel DML (parallel insert and delete in this case) and database log performance are a key for this function and the SPARC T4-4 server outperformed both the IBM POWER7 server and HP ProLiant DL980 G7 server. (See the RF columns above.) See Also Transaction Processing Performance Council (TPC) Home Page Ideas International Benchmark Page SPARC T4-4 Server oracle.com OTN Oracle Solaris oracle.com OTN Oracle Database 11g Release 2 Enterprise Edition oracle.com OTN Sun Storage 2540-M2 Array oracle.com OTN Disclosure Statement TPC-H, QphH, $/QphH are trademarks of Transaction Processing Performance Council (TPC). For more information, see www.tpc.org. SPARC T4-4 205,792.0 QphH@3000GB, $4.10/QphH@3000GB, available 5/31/12, 4 processors, 32 cores, 256 threads; IBM Power 780 QphH@3000GB, 192,001.1 QphH@3000GB, $6.37/QphH@3000GB, available 11/30/11, 8 processors, 32 cores, 128 threads; HP ProLiant DL980 G7 162,601.7 QphH@3000GB, $2.68/QphH@3000GB available 10/13/10, 8 processors, 64 cores, 128 threads.

    Read the article

  • Craig Mundie's video

    - by GGBlogger
    Timothy recently posted “Microsoft Shows Off Radical New UI, Could Be Used In Windows 8” on Slashdot. I took such grave exception to his post that I found it necessary to my senses to write this blog. We need to go back many years to the days of hand cranked calculators and early main frame computers. These devices had singular purposes – they were “number crunchers” used to make accounting easier. The front facing display in early mainframes was “blinken lights.” The calculators did provide printing – in the form of paper tape and the mainframes used line printers to generate reports as needed. We had other metaphors to work with. The typewriter was/is a mechanical device that substitutes for a type setting machine. The originals go back to 1867 and the keyboard layout has remained much the same to this day. In the earlier years the Morse code telegraphs gave way to Teletype machines. The old ASR33, seen on the left in this photo of one of the first computers I help manufacture, used a keyboard very similar to the keyboards in use today. It also generated punched paper tape that we generated to program this computer in machine language. Everything considered this computer which dates back to the late 1960s has a keyboard for input and a roll of paper as output. So in a very rudimentary fashion little has changed. Oh – we didn’t have a mouse! The entire point of this exercise is to point out that we still use very similar methods to get data into and out of a computer regardless of the operating system involved. The Altair, IMSAI, Apple, Commodore and onward to our modern machines changed the hardware that we interfaced to but changed little in the way we input, view and output the results of our computing effort. The mouse made some changes and the advent of windowed interfaces such as Windows and Apple made things somewhat easier for the user. My 4 year old granddaughter plays here Dora games on our computer. She knows how to start programs, use the mouse, play the game and is quite adept so we have come some distance in making computers useable. One of my chief bitches is the constant harangues leveled at Microsoft. Yup – they are a money making organization. You like Apple? No problem for me. I don’t use Apple mostly because I’m comfortable in the Windows environment but probably more because I don’t like Apple’s “Holier than thou” attitude. Some think they do superior things and that’s also fine with me. Obviously the iPhone has not done badly and other Apple products have fared well. But they are expensive. I just build a new machine with 4 Terabytes of storage, an Intel i7 Core 950 processor and 12 GB of RAMIII. It cost me – with dual monitors – less than 2000 dollars. Now to the chief reason for this blog. I’m going to continue developing software for as long as I’m able. For that reason I don’t see my keyboard, mouse and displays changing much for many years. I also don’t think Microsoft is going to spoil that for me by making radical changes to my developer experience. What Craig Mundie does in his video here:  http://www.ispyce.com/2011/02/microsoft-shows-off-radical-new-ui.html is explore the potential future of computer interfaces for the masses of potential users. Using a computer today requires a person to have rudimentary capabilities with keyboards and the mouse. Wouldn’t it be great if all they needed was hand gestures? Although not mentioned it would also be nice if computers responded intelligently to a user’s voice. There is absolutely no argument with the fact that user interaction with these machines is going to change over time. My personal prediction is that it will take years for much of what Craig discusses to come to a cost effective reality but it is certainly coming. I just don’t believe that what Craig discusses will be the future look of a Window 8.

    Read the article

  • Math-font from the ubuntu font family?

    - by Wauzl
    Does anyone know if there will be (or already are) any possibilities to use the ubuntu font family for mathematical typesetting in LaTeX? It says “Dalton Maag, a London-based studio, has laid the foundations for the Ubuntu font project with a beautiful design that aims to produce every character to support every language and interest in the world.” on the project web site of ubuntu. So I would expect something like this because maths is an interest.

    Read the article

  • What I Expect From Myself This Year

    - by Lee Brandt
    I am making it a point not to call them resolutions, because the word has become an institution and is beginning to have no meaning. That's why I end up not keeping my resolutions, I think. So in the spirit of holding myself to my own commitments, I will make a plan and some realistic goals. 1.) Lose weight. Everyone has this on their list, but I am going to be conservative and specific. I currently weigh 393lbs. (yeah, I know). So I want to plan to lose 10lbs per month, that's 1lb. every three days, that shouldn't be difficult if I stick to my diet and exercise plan. - How do I do this?     - Diet: vegetarian. Since I already know I have high blood pressure and borderline high cholesterol, a meat-free diet is in order. I was vegan for a little over 2 years in 2006-2008, I think I can handle vegetarian.     - Exercise: at least 3 times (preferably every day) a week for 30 minutes. It has to be something that gets my heart rate up, or burns in my muscles. I can walk for cardio to start and mild calisthenics (girly push-ups, crunches, etc.).         - Move: I spend all my time behind the computer. I have recently started to use a slight variation of the Pomodoro Technique (my Pomodoros are 50 minutes instead of 25). During my 10 minutes every hour to answer emails, chats, etc., I will take a few minutes to stretch. 2.) Get my wife pregnant. We've been talking about it for years. Now that she is done with graduate school and I have a great job, now's the time. We'll be the oldest parents in the PTA most likely, but I don't care. 3.) Blog More. Another favorite among bloggers, but I do have about six drafts for blog posts started. The topics are there all I need to do is flesh out the post. This can be the first hour of any computer time I have after work. As soon as I am done exercising, shower and post. 4.) Speak less. Most people want to speak more. I want to concentrate on the places that I enjoy and that can really use the speakers (like local code camps), rather than trying to be some national speaker. I love speaking at conferences, but I need to spend some more time at home if we're going to get pregnant. 5.) Read more. I got a Kindle for Christmas and I am loving it so far. I have almost finished Treasure Island, and am getting ready to pick my next book. I will probably read a lot of classics for 2 reasons: (1) they teach deep lessons and (2) most are free for the Kindle. 6.) Find my religion. I was raised Southern Baptist, but I want to find my own way. I've been wanting to go to the local Unitarian Church, so I will make a point to go before the end of March. I also want to add a few religious books to my reading list. My boss bought me a copy of Lee Strobel's The Case for Christ: A Journalist's Personal Investigation of the Evidence for Jesus , and I have a copy of Bruce Feiler's Abraham: A Journey to the Heart of Three Faiths (P.S.) . I will start there. Seems like a lot now that I spell it out like this. But these are only starters. I am forty years old. I cannot keep living like I am twenty anymore. So here we go, 2011.

    Read the article

  • Understanding G1 GC Logs

    - by poonam
    The purpose of this post is to explain the meaning of GC logs generated with some tracing and diagnostic options for G1 GC. We will take a look at the output generated with PrintGCDetails which is a product flag and provides the most detailed level of information. Along with that, we will also look at the output of two diagnostic flags that get enabled with -XX:+UnlockDiagnosticVMOptions option - G1PrintRegionLivenessInfo that prints the occupancy and the amount of space used by live objects in each region at the end of the marking cycle and G1PrintHeapRegions that provides detailed information on the heap regions being allocated and reclaimed. We will be looking at the logs generated with JDK 1.7.0_04 using these options. Option -XX:+PrintGCDetails Here's a sample log of G1 collection generated with PrintGCDetails. 0.522: [GC pause (young), 0.15877971 secs] [Parallel Time: 157.1 ms] [GC Worker Start (ms): 522.1 522.2 522.2 522.2 Avg: 522.2, Min: 522.1, Max: 522.2, Diff: 0.1] [Ext Root Scanning (ms): 1.6 1.5 1.6 1.9 Avg: 1.7, Min: 1.5, Max: 1.9, Diff: 0.4] [Update RS (ms): 38.7 38.8 50.6 37.3 Avg: 41.3, Min: 37.3, Max: 50.6, Diff: 13.3] [Processed Buffers : 2 2 3 2 Sum: 9, Avg: 2, Min: 2, Max: 3, Diff: 1] [Scan RS (ms): 9.9 9.7 0.0 9.7 Avg: 7.3, Min: 0.0, Max: 9.9, Diff: 9.9] [Object Copy (ms): 106.7 106.8 104.6 107.9 Avg: 106.5, Min: 104.6, Max: 107.9, Diff: 3.3] [Termination (ms): 0.0 0.0 0.0 0.0 Avg: 0.0, Min: 0.0, Max: 0.0, Diff: 0.0] [Termination Attempts : 1 4 4 6 Sum: 15, Avg: 3, Min: 1, Max: 6, Diff: 5] [GC Worker End (ms): 679.1 679.1 679.1 679.1 Avg: 679.1, Min: 679.1, Max: 679.1, Diff: 0.1] [GC Worker (ms): 156.9 157.0 156.9 156.9 Avg: 156.9, Min: 156.9, Max: 157.0, Diff: 0.1] [GC Worker Other (ms): 0.3 0.3 0.3 0.3 Avg: 0.3, Min: 0.3, Max: 0.3, Diff: 0.0] [Clear CT: 0.1 ms] [Other: 1.5 ms] [Choose CSet: 0.0 ms] [Ref Proc: 0.3 ms] [Ref Enq: 0.0 ms] [Free CSet: 0.3 ms] [Eden: 12M(12M)->0B(10M) Survivors: 0B->2048K Heap: 13M(64M)->9739K(64M)] [Times: user=0.59 sys=0.02, real=0.16 secs] This is the typical log of an Evacuation Pause (G1 collection) in which live objects are copied from one set of regions (young OR young+old) to another set. It is a stop-the-world activity and all the application threads are stopped at a safepoint during this time. This pause is made up of several sub-tasks indicated by the indentation in the log entries. Here's is the top most line that gets printed for the Evacuation Pause. 0.522: [GC pause (young), 0.15877971 secs] This is the highest level information telling us that it is an Evacuation Pause that started at 0.522 secs from the start of the process, in which all the regions being evacuated are Young i.e. Eden and Survivor regions. This collection took 0.15877971 secs to finish. Evacuation Pauses can be mixed as well. In which case the set of regions selected include all of the young regions as well as some old regions. 1.730: [GC pause (mixed), 0.32714353 secs] Let's take a look at all the sub-tasks performed in this Evacuation Pause. [Parallel Time: 157.1 ms] Parallel Time is the total elapsed time spent by all the parallel GC worker threads. The following lines correspond to the parallel tasks performed by these worker threads in this total parallel time, which in this case is 157.1 ms. [GC Worker Start (ms): 522.1 522.2 522.2 522.2Avg: 522.2, Min: 522.1, Max: 522.2, Diff: 0.1] The first line tells us the start time of each of the worker thread in milliseconds. The start times are ordered with respect to the worker thread ids – thread 0 started at 522.1ms and thread 1 started at 522.2ms from the start of the process. The second line tells the Avg, Min, Max and Diff of the start times of all of the worker threads. [Ext Root Scanning (ms): 1.6 1.5 1.6 1.9 Avg: 1.7, Min: 1.5, Max: 1.9, Diff: 0.4] This gives us the time spent by each worker thread scanning the roots (globals, registers, thread stacks and VM data structures). Here, thread 0 took 1.6ms to perform the root scanning task and thread 1 took 1.5 ms. The second line clearly shows the Avg, Min, Max and Diff of the times spent by all the worker threads. [Update RS (ms): 38.7 38.8 50.6 37.3 Avg: 41.3, Min: 37.3, Max: 50.6, Diff: 13.3] Update RS gives us the time each thread spent in updating the Remembered Sets. Remembered Sets are the data structures that keep track of the references that point into a heap region. Mutator threads keep changing the object graph and thus the references that point into a particular region. We keep track of these changes in buffers called Update Buffers. The Update RS sub-task processes the update buffers that were not able to be processed concurrently, and updates the corresponding remembered sets of all regions. [Processed Buffers : 2 2 3 2Sum: 9, Avg: 2, Min: 2, Max: 3, Diff: 1] This tells us the number of Update Buffers (mentioned above) processed by each worker thread. [Scan RS (ms): 9.9 9.7 0.0 9.7 Avg: 7.3, Min: 0.0, Max: 9.9, Diff: 9.9] These are the times each worker thread had spent in scanning the Remembered Sets. Remembered Set of a region contains cards that correspond to the references pointing into that region. This phase scans those cards looking for the references pointing into all the regions of the collection set. [Object Copy (ms): 106.7 106.8 104.6 107.9 Avg: 106.5, Min: 104.6, Max: 107.9, Diff: 3.3] These are the times spent by each worker thread copying live objects from the regions in the Collection Set to the other regions. [Termination (ms): 0.0 0.0 0.0 0.0 Avg: 0.0, Min: 0.0, Max: 0.0, Diff: 0.0] Termination time is the time spent by the worker thread offering to terminate. But before terminating, it checks the work queues of other threads and if there are still object references in other work queues, it tries to steal object references, and if it succeeds in stealing a reference, it processes that and offers to terminate again. [Termination Attempts : 1 4 4 6 Sum: 15, Avg: 3, Min: 1, Max: 6, Diff: 5] This gives the number of times each thread has offered to terminate. [GC Worker End (ms): 679.1 679.1 679.1 679.1 Avg: 679.1, Min: 679.1, Max: 679.1, Diff: 0.1] These are the times in milliseconds at which each worker thread stopped. [GC Worker (ms): 156.9 157.0 156.9 156.9 Avg: 156.9, Min: 156.9, Max: 157.0, Diff: 0.1] These are the total lifetimes of each worker thread. [GC Worker Other (ms): 0.3 0.3 0.3 0.3Avg: 0.3, Min: 0.3, Max: 0.3, Diff: 0.0] These are the times that each worker thread spent in performing some other tasks that we have not accounted above for the total Parallel Time. [Clear CT: 0.1 ms] This is the time spent in clearing the Card Table. This task is performed in serial mode. [Other: 1.5 ms] Time spent in the some other tasks listed below. The following sub-tasks (which individually may be parallelized) are performed serially. [Choose CSet: 0.0 ms] Time spent in selecting the regions for the Collection Set. [Ref Proc: 0.3 ms] Total time spent in processing Reference objects. [Ref Enq: 0.0 ms] Time spent in enqueuing references to the ReferenceQueues. [Free CSet: 0.3 ms] Time spent in freeing the collection set data structure. [Eden: 12M(12M)->0B(13M) Survivors: 0B->2048K Heap: 14M(64M)->9739K(64M)] This line gives the details on the heap size changes with the Evacuation Pause. This shows that Eden had the occupancy of 12M and its capacity was also 12M before the collection. After the collection, its occupancy got reduced to 0 since everything is evacuated/promoted from Eden during a collection, and its target size grew to 13M. The new Eden capacity of 13M is not reserved at this point. This value is the target size of the Eden. Regions are added to Eden as the demand is made and when the added regions reach to the target size, we start the next collection. Similarly, Survivors had the occupancy of 0 bytes and it grew to 2048K after the collection. The total heap occupancy and capacity was 14M and 64M receptively before the collection and it became 9739K and 64M after the collection. Apart from the evacuation pauses, G1 also performs concurrent-marking to build the live data information of regions. 1.416: [GC pause (young) (initial-mark), 0.62417980 secs] ….... 2.042: [GC concurrent-root-region-scan-start] 2.067: [GC concurrent-root-region-scan-end, 0.0251507] 2.068: [GC concurrent-mark-start] 3.198: [GC concurrent-mark-reset-for-overflow] 4.053: [GC concurrent-mark-end, 1.9849672 sec] 4.055: [GC remark 4.055: [GC ref-proc, 0.0000254 secs], 0.0030184 secs] [Times: user=0.00 sys=0.00, real=0.00 secs] 4.088: [GC cleanup 117M->106M(138M), 0.0015198 secs] [Times: user=0.00 sys=0.00, real=0.00 secs] 4.090: [GC concurrent-cleanup-start] 4.091: [GC concurrent-cleanup-end, 0.0002721] The first phase of a marking cycle is Initial Marking where all the objects directly reachable from the roots are marked and this phase is piggy-backed on a fully young Evacuation Pause. 2.042: [GC concurrent-root-region-scan-start] This marks the start of a concurrent phase that scans the set of root-regions which are directly reachable from the survivors of the initial marking phase. 2.067: [GC concurrent-root-region-scan-end, 0.0251507] End of the concurrent root region scan phase and it lasted for 0.0251507 seconds. 2.068: [GC concurrent-mark-start] Start of the concurrent marking at 2.068 secs from the start of the process. 3.198: [GC concurrent-mark-reset-for-overflow] This indicates that the global marking stack had became full and there was an overflow of the stack. Concurrent marking detected this overflow and had to reset the data structures to start the marking again. 4.053: [GC concurrent-mark-end, 1.9849672 sec] End of the concurrent marking phase and it lasted for 1.9849672 seconds. 4.055: [GC remark 4.055: [GC ref-proc, 0.0000254 secs], 0.0030184 secs] This corresponds to the remark phase which is a stop-the-world phase. It completes the left over marking work (SATB buffers processing) from the previous phase. In this case, this phase took 0.0030184 secs and out of which 0.0000254 secs were spent on Reference processing. 4.088: [GC cleanup 117M->106M(138M), 0.0015198 secs] Cleanup phase which is again a stop-the-world phase. It goes through the marking information of all the regions, computes the live data information of each region, resets the marking data structures and sorts the regions according to their gc-efficiency. In this example, the total heap size is 138M and after the live data counting it was found that the total live data size dropped down from 117M to 106M. 4.090: [GC concurrent-cleanup-start] This concurrent cleanup phase frees up the regions that were found to be empty (didn't contain any live data) during the previous stop-the-world phase. 4.091: [GC concurrent-cleanup-end, 0.0002721] Concurrent cleanup phase took 0.0002721 secs to free up the empty regions. Option -XX:G1PrintRegionLivenessInfo Now, let's look at the output generated with the flag G1PrintRegionLivenessInfo. This is a diagnostic option and gets enabled with -XX:+UnlockDiagnosticVMOptions. G1PrintRegionLivenessInfo prints the live data information of each region during the Cleanup phase of the concurrent-marking cycle. 26.896: [GC cleanup ### PHASE Post-Marking @ 26.896### HEAP committed: 0x02e00000-0x0fe00000 reserved: 0x02e00000-0x12e00000 region-size: 1048576 Cleanup phase of the concurrent-marking cycle started at 26.896 secs from the start of the process and this live data information is being printed after the marking phase. Committed G1 heap ranges from 0x02e00000 to 0x0fe00000 and the total G1 heap reserved by JVM is from 0x02e00000 to 0x12e00000. Each region in the G1 heap is of size 1048576 bytes. ### type address-range used prev-live next-live gc-eff### (bytes) (bytes) (bytes) (bytes/ms) This is the header of the output that tells us about the type of the region, address-range of the region, used space in the region, live bytes in the region with respect to the previous marking cycle, live bytes in the region with respect to the current marking cycle and the GC efficiency of that region. ### FREE 0x02e00000-0x02f00000 0 0 0 0.0 This is a Free region. ### OLD 0x02f00000-0x03000000 1048576 1038592 1038592 0.0 Old region with address-range from 0x02f00000 to 0x03000000. Total used space in the region is 1048576 bytes, live bytes as per the previous marking cycle are 1038592 and live bytes with respect to the current marking cycle are also 1038592. The GC efficiency has been computed as 0. ### EDEN 0x03400000-0x03500000 20992 20992 20992 0.0 This is an Eden region. ### HUMS 0x0ae00000-0x0af00000 1048576 1048576 1048576 0.0### HUMC 0x0af00000-0x0b000000 1048576 1048576 1048576 0.0### HUMC 0x0b000000-0x0b100000 1048576 1048576 1048576 0.0### HUMC 0x0b100000-0x0b200000 1048576 1048576 1048576 0.0### HUMC 0x0b200000-0x0b300000 1048576 1048576 1048576 0.0### HUMC 0x0b300000-0x0b400000 1048576 1048576 1048576 0.0### HUMC 0x0b400000-0x0b500000 1001480 1001480 1001480 0.0 These are the continuous set of regions called Humongous regions for storing a large object. HUMS (Humongous starts) marks the start of the set of humongous regions and HUMC (Humongous continues) tags the subsequent regions of the humongous regions set. ### SURV 0x09300000-0x09400000 16384 16384 16384 0.0 This is a Survivor region. ### SUMMARY capacity: 208.00 MB used: 150.16 MB / 72.19 % prev-live: 149.78 MB / 72.01 % next-live: 142.82 MB / 68.66 % At the end, a summary is printed listing the capacity, the used space and the change in the liveness after the completion of concurrent marking. In this case, G1 heap capacity is 208MB, total used space is 150.16MB which is 72.19% of the total heap size, live data in the previous marking was 149.78MB which was 72.01% of the total heap size and the live data as per the current marking is 142.82MB which is 68.66% of the total heap size. Option -XX:+G1PrintHeapRegions G1PrintHeapRegions option logs the regions related events when regions are committed, allocated into or are reclaimed. COMMIT/UNCOMMIT events G1HR COMMIT [0x6e900000,0x6ea00000]G1HR COMMIT [0x6ea00000,0x6eb00000] Here, the heap is being initialized or expanded and the region (with bottom: 0x6eb00000 and end: 0x6ec00000) is being freshly committed. COMMIT events are always generated in order i.e. the next COMMIT event will always be for the uncommitted region with the lowest address. G1HR UNCOMMIT [0x72700000,0x72800000]G1HR UNCOMMIT [0x72600000,0x72700000] Opposite to COMMIT. The heap got shrunk at the end of a Full GC and the regions are being uncommitted. Like COMMIT, UNCOMMIT events are also generated in order i.e. the next UNCOMMIT event will always be for the committed region with the highest address. GC Cycle events G1HR #StartGC 7G1HR CSET 0x6e900000G1HR REUSE 0x70500000G1HR ALLOC(Old) 0x6f800000G1HR RETIRE 0x6f800000 0x6f821b20G1HR #EndGC 7 This shows start and end of an Evacuation pause. This event is followed by a GC counter tracking both evacuation pauses and Full GCs. Here, this is the 7th GC since the start of the process. G1HR #StartFullGC 17G1HR UNCOMMIT [0x6ed00000,0x6ee00000]G1HR POST-COMPACTION(Old) 0x6e800000 0x6e854f58G1HR #EndFullGC 17 Shows start and end of a Full GC. This event is also followed by the same GC counter as above. This is the 17th GC since the start of the process. ALLOC events G1HR ALLOC(Eden) 0x6e800000 The region with bottom 0x6e800000 just started being used for allocation. In this case it is an Eden region and allocated into by a mutator thread. G1HR ALLOC(StartsH) 0x6ec00000 0x6ed00000G1HR ALLOC(ContinuesH) 0x6ed00000 0x6e000000 Regions being used for the allocation of Humongous object. The object spans over two regions. G1HR ALLOC(SingleH) 0x6f900000 0x6f9eb010 Single region being used for the allocation of Humongous object. G1HR COMMIT [0x6ee00000,0x6ef00000]G1HR COMMIT [0x6ef00000,0x6f000000]G1HR COMMIT [0x6f000000,0x6f100000]G1HR COMMIT [0x6f100000,0x6f200000]G1HR ALLOC(StartsH) 0x6ee00000 0x6ef00000G1HR ALLOC(ContinuesH) 0x6ef00000 0x6f000000G1HR ALLOC(ContinuesH) 0x6f000000 0x6f100000G1HR ALLOC(ContinuesH) 0x6f100000 0x6f102010 Here, Humongous object allocation request could not be satisfied by the free committed regions that existed in the heap, so the heap needed to be expanded. Thus new regions are committed and then allocated into for the Humongous object. G1HR ALLOC(Old) 0x6f800000 Old region started being used for allocation during GC. G1HR ALLOC(Survivor) 0x6fa00000 Region being used for copying old objects into during a GC. Note that Eden and Humongous ALLOC events are generated outside the GC boundaries and Old and Survivor ALLOC events are generated inside the GC boundaries. Other Events G1HR RETIRE 0x6e800000 0x6e87bd98 Retire and stop using the region having bottom 0x6e800000 and top 0x6e87bd98 for allocation. Note that most regions are full when they are retired and we omit those events to reduce the output volume. A region is retired when another region of the same type is allocated or we reach the start or end of a GC(depending on the region). So for Eden regions: For example: 1. ALLOC(Eden) Foo2. ALLOC(Eden) Bar3. StartGC At point 2, Foo has just been retired and it was full. At point 3, Bar was retired and it was full. If they were not full when they were retired, we will have a RETIRE event: 1. ALLOC(Eden) Foo2. RETIRE Foo top3. ALLOC(Eden) Bar4. StartGC G1HR CSET 0x6e900000 Region (bottom: 0x6e900000) is selected for the Collection Set. The region might have been selected for the collection set earlier (i.e. when it was allocated). However, we generate the CSET events for all regions in the CSet at the start of a GC to make sure there's no confusion about which regions are part of the CSet. G1HR POST-COMPACTION(Old) 0x6e800000 0x6e839858 POST-COMPACTION event is generated for each non-empty region in the heap after a full compaction. A full compaction moves objects around, so we don't know what the resulting shape of the heap is (which regions were written to, which were emptied, etc.). To deal with this, we generate a POST-COMPACTION event for each non-empty region with its type (old/humongous) and the heap boundaries. At this point we should only have Old and Humongous regions, as we have collapsed the young generation, so we should not have eden and survivors. POST-COMPACTION events are generated within the Full GC boundary. G1HR CLEANUP 0x6f400000G1HR CLEANUP 0x6f300000G1HR CLEANUP 0x6f200000 These regions were found empty after remark phase of Concurrent Marking and are reclaimed shortly afterwards. G1HR #StartGC 5G1HR CSET 0x6f400000G1HR CSET 0x6e900000G1HR REUSE 0x6f800000 At the end of a GC we retire the old region we are allocating into. Given that its not full, we will carry on allocating into it during the next GC. This is what REUSE means. In the above case 0x6f800000 should have been the last region with an ALLOC(Old) event during the previous GC and should have been retired before the end of the previous GC. G1HR ALLOC-FORCE(Eden) 0x6f800000 A specialization of ALLOC which indicates that we have reached the max desired number of the particular region type (in this case: Eden), but we decided to allocate one more. Currently it's only used for Eden regions when we extend the young generation because we cannot do a GC as the GC-Locker is active. G1HR EVAC-FAILURE 0x6f800000 During a GC, we have failed to evacuate an object from the given region as the heap is full and there is no space left to copy the object. This event is generated within GC boundaries and exactly once for each region from which we failed to evacuate objects. When Heap Regions are reclaimed ? It is also worth mentioning when the heap regions in the G1 heap are reclaimed. All regions that are in the CSet (the ones that appear in CSET events) are reclaimed at the end of a GC. The exception to that are regions with EVAC-FAILURE events. All regions with CLEANUP events are reclaimed. After a Full GC some regions get reclaimed (the ones from which we moved the objects out). But that is not shown explicitly, instead the non-empty regions that are left in the heap are printed out with the POST-COMPACTION events.

    Read the article

  • How Big Is a Billion? [Video]

    - by Jason Fitzpatrick
    A billion is a billion except, when it isn’t. Depending on where and when you were raised and educated, the world “billion” is some magnitudes different–read on to see the difference between a billion in long and short number systems. [via Geeks Are Sexy] Here’s How to Download Windows 8 Release Preview Right Now HTG Explains: Why Linux Doesn’t Need Defragmenting How to Convert News Feeds to Ebooks with Calibre

    Read the article

  • Links to Success Enabled With Permanent Links

    The right website is the one that will be able to make your business reach the heights of success. Today the entire world relies on the internet and you have to work really hard to make sure that your website gets noticed among the vast arrays of websites that are out there.

    Read the article

< Previous Page | 192 193 194 195 196 197 198 199 200 201 202 203  | Next Page >