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  • Intel Parallel XE : Intel publie un eBook gratuit pour découvrir son outil d'optimisation des développements parallèles

    Intel Parallel XE : Intel publie un eBook gratuit Pour découvrir son outil d'optimisation des développements parallèles Les solutions Intel Parallel développées, comme leur nm l'indique, par Intel sont un ensemble d'outils qui permettent une meilleure optimisation des développements parallèles pour tirer partie des architectures multi-coeurs. « La nouvelle gamme d'outils Intel Parallel XE permet aux équipes de développement de délivrer le code en temps et en heure avec le niveau de performance le plus élevé eet le minimum de défauts du cluster au desktop jusqu'au périphériques », explique Intel. Pour aider les développeurs dans la découverte et la prise en main d'Int...

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  • Vodacom Call Center Management on the NetBeans Platform

    - by Geertjan
    If you live in South Africa, you know about Vodacom. Vodacom is one of the dominant mobile communication companies in South Africa, and beyond, providing voice, messaging, data, and similar mobile services. Inside Vodacom there's an application named Helios, which is a call centre application that had its inception in 2009 and consists of two parts. Firstly, a web-based front-end that allows a call centre agent to service subscribers using a Google-like search on a knowledge base structured as a collection of FAQs. The web-based front-end uses plain-old HTML + CSS + a good helping of JQuery and JQueryUI. This is delivered via JSR-168 portlets running on a cluster of IBM Portal 6 servers. In turn, the portlets communicate via RMI with several back-end EJB's containing the business logic. These EJB's are deployed on a cluster of Weblogic Application Servers, version 10.3.6. The second part is a NetBeans Platform application used for maintaining and constructing the knowledge base, i.e., the back-end of the web-based front-end. Helios is also used for a number of other maintenance functions, such as access permissions, user maintenance, and news bulletins. Below, in the web-based front-end, call centre agents can enter search terms and are presented with a number of FAQs from the knowledge base. Upon selecting a FAQ article, the agent is presented with the article text, the process to guide the subscriber, system checks that display information specific to the subscriber, and links to related applications and articles: Below, you can see that applications are searchable and can be accessed using the same web-based front-end as shown above. And, as can be seen below, knowledge base FAQs are maintained using the Helios Maintenance Application, which is the Vodacom application built on the NetBeans Platform: Several thousand call centre agent user accounts are administered using the Helios Maintenance Application. Below the main FAQ page is shown, together with the About dialog: Vodacom is happy with the back-end NetBeans Platform application. However, the front-end stack runs on quite old technology. Ideally Vodacom would like to migrate the portlets to Oracle Weblogic Portal or Oracle WebCenter, but this hasn't been accomplished yet. Migrating makes sense as the rest of the application server environment consists entirely of Oracle products.

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  • HP ProLiant DL980-Oracle TPC-C Benchmark spat

    - by jchang
    The Register reported a spat between HP and Oracle on the TPC-C benchmark. Per above, HP submitted a TPC-C result of 3,388,535 tpm-C for their ProLiant DL980 G7 (8 Xeon X7560 processors), with a cost of $0.63 per tpm-C. Oracle has refused permission to publish. Late last year (2010) Oracle published a result of 30M tpm-C for a 108 processors (sockets) SPARC cluster ($30M complete system cost). Oracle is now comparing this to the HP Superdome result from 2007 of 4M tpm-C at $2.93 per tpm-C, calling...(read more)

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  • Why You Should Attend MySQL Connect, and Register Now

    - by Bertrand Matthelié
    MySQL Connect is taking place on September 29 and 30 in San Francisco. The early bird discount enabling you to save US$ 500 is only running for a few more days, until July 13. Are you still wondering if you should sign up? Here are 10 reasons why you definitely should: Learn from other companies how they tackled similar challenges to the ones you’re facing. Find out what they learned along the way, and how you can save time, money and a lot of troubles by avoiding repeating the same mistakes and applying the best practices they’ve developed. You’ll get the chance to hear from organizations including PayPal, Verizon, Twitter, Facebook, Ticketmaster, Ning, Mozilla, CERN, Yahoo! and more! Don’t miss this unique opportunity to meet the engineers developing and supporting the MySQL products in a single location. You’ll be able to ask them all your questions, which can represent a huge time and money saver. Acquire detailed knowledge about InnoDB, the MySQL Optimizer, High Availability strategies, improving performance and scalability, enhancing security and numerous other topics. You’ll hear it straight "from the horse’s mouth" as well as from other MySQL experts in the ecosystem. Get a better understanding about Oracle’s MySQL strategy and about the MySQL roadmap, so you can better plan where to use the MySQL database and MySQL Cluster for your next web, cloud-based and other applications. Get hands-on experience about improving performance with the MySQL Performance Schema, about using MySQL Utilities, MySQL Cluster and a lot more with eight different Hands-On Labs. Express your ideas, engage into discussions and help influence the MySQL roadmap during Birds-of-a-feather sessions about replication, backup, query optimizations and other topics. Meet partners and learn about third party tools that could be useful in your architecture. Immerse yourself into the MySQL universe and hang out with MySQL experts for two days. The discussions as well as the relationships you will create can be priceless and help you execute on your next projects in a much better and faster way. Register Now to save US$500 by taking advantage of the Early bird discount running until July 13. We’ll have parallel tracks so you should consider sending a few team members to make the most of the event. Are you attending or planning to attend Oracle OpenWorld or JavaOne? You can add MySQL Connect to your registration for only US$100! Finally, it’s always a lot of fun to attend a MySQL conference. The passion and the energy are contagious…and you’ll likely get plenty of new ideas. You will find all information about the program in the MySQL Connect Content Catalog. We look forward to seeing you there! You can also read interviews with Tomas Ulin and Ronald Bradford about MySQL Connect. Sponsorship and exhibit opportunities are still available for the conference. You will find more information here.

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  • Is RTD Stateless or Stateful?

    - by [email protected]
    Yes.   A stateless service is one where each request is an independent transaction that can be processed by any of the servers in a cluster.  A stateful service is one where state is kept in a server's memory from transaction to transaction, thus necessitating the proper routing of requests to the right server. The main advantage of stateless systems is simplicity of design. The main advantage of stateful systems is performance. I'm often asked whether RTD is a stateless or stateful service, so I wanted to clarify this issue in depth so that RTD's architecture will be properly understood. The short answer is: "RTD can be configured as a stateless or stateful service." The performance difference between stateless and stateful systems can be very significant, and while in a call center implementation it may be reasonable to use a pure stateless configuration, a web implementation that produces thousands of requests per second is practically impossible with a stateless configuration. RTD's performance is orders of magnitude better than most competing systems. RTD was architected from the ground up to achieve this performance. Features like automatic and dynamic compression of prediction models, automatic translation of metadata to machine code, lack of interpreted languages, and separation of model building from decisioning contribute to achieving this performance level. Because  of this focus on performance we decided to have RTD's default configuration work in a stateful manner. By being stateful RTD requests are typically handled in a few milliseconds when repeated requests come to the same session. Now, those readers that have participated in implementations of RTD know that RTD's architecture is also focused on reducing Total Cost of Ownership (TCO) with features like automatic model building, automatic time windows, automatic maintenance of database tables, automatic evaluation of data mining models, automatic management of models partitioned by channel, geography, etcetera, and hot swapping of configurations. How do you reconcile the need for a low TCO and the need for performance? How do you get the performance of a stateful system with the simplicity of a stateless system? The answer is that you make the system behave like a stateless system to the exterior, but you let it automatically take advantage of situations where being stateful is better. For example, one of the advantages of stateless systems is that you can route a message to any server in a cluster, without worrying about sending it to the same server that was handling the session in previous messages. With an RTD stateful configuration you can still route the message to any server in the cluster, so from the point of view of the configuration of other systems, it is the same as a stateless service. The difference though comes in performance, because if the message arrives to the right server, RTD can serve it without any external access to the session's state, thus tremendously reducing processing time. In typical implementations it is not rare to have high percentages of messages routed directly to the right server, while those that are not, are easily handled by forwarding the messages to the right server. This architecture usually provides the best of both worlds with performance and simplicity of configuration.   Configuring RTD as a pure stateless service A pure stateless configuration requires session data to be persisted at the end of handling each and every message and reloading that data at the beginning of handling any new message. This is of course, the root of the inefficiency of these configurations. This is also the reason why many "stateless" implementations actually do keep state to take advantage of a request coming back to the same server. Nevertheless, if the implementation requires a pure stateless decision service, this is easy to configure in RTD. The way to do it is: Mark every Integration Point to Close the session at the end of processing the message In the Session entity persist the session data on closing the session In the session entity check if a persisted version exists and load it An excellent solution for persisting the session data is Oracle Coherence, which provides a high performance, distributed cache that minimizes the performance impact of persisting and reloading the session. Alternatively, the session can be persisted to a local database. An interesting feature of the RTD stateless configuration is that it can cope with serializing concurrent requests for the same session. For example, if a web page produces two requests to the decision service, these requests could come concurrently to the decision services and be handled by different servers. Most stateless implementation would have the two requests step onto each other when saving the state, or fail one of the messages. When properly configured, RTD will make one message wait for the other before processing.   A Word on Context Using the context of a customer interaction typically significantly increases lift. For example, offer success in a call center could double if the context of the call is taken into account. For this reason, it is important to utilize the contextual information in decision making. To make the contextual information available throughout a session it needs to be persisted. When there is a well defined owner for the information then there is no problem because in case of a session restart, the information can be easily retrieved. If there is no official owner of the information, then RTD can be configured to persist this information.   Once again, RTD provides flexibility to ensure high performance when it is adequate to allow for some loss of state in the rare cases of server failure. For example, in a heavy use web site that serves 1000 pages per second the navigation history may be stored in the in memory session. In such sites it is typical that there is no OLTP that stores all the navigation events, therefore if an RTD server were to fail, it would be possible for the navigation to that point to be lost (note that a new session would be immediately established in one of the other servers). In most cases the loss of this navigation information would be acceptable as it would happen rarely. If it is desired to save this information, RTD would persist it every time the visitor navigates to a new page. Note that this practice is preferred whether RTD is configured in a stateless or stateful manner.  

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  • New videos: Getting started with embedded Java and more

    - by terrencebarr
    OTN just published a set of six videos related to embedded Java: Java at ARM TechCon Java SE Embedded Development Made Easy, Part 1 Java SE Embedded Development Made Easy, Part 2 Mobile Database Synchronization – Healthcare Demonstration Tomcat Micro Cluster Java Embedded Partnerships Good stuff. Enjoy! Cheers, – Terrence Filed under: Mobile & Embedded Tagged: embedded, Java Embedded, Java SE Embedded, video

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  • Grid Infrastructure 11.2 sur OEL 5.2 avec VMWare

    - by alain.duron(at)oracle.com
    En préparation, un sujet sur l'installation et la configuration de Grid Infrastructure 11.2 sur Oracle Enterprise Linux 5 (OEL 5.2 32bits). Plusieurs sites relatent ce type de config test, mais aucun ne semble décrire les problèmes pouvant survenir à l'installation, les résolutions possibles et les pièges à éviter, notamment sur la configuration d'ASMlib ou lors de la configuration du cluster par root.sh. La doc semble manquer cruellement dès qu'on rencontre un problème de configuration de Grid Infra sur VMWare, je vais tacher d'y remédier...A suivre :)

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  • Cannot save tar.gz file to usr/local

    - by ATMathew
    I'm using the following instruction to install and configure Hadoop on Ubuntu 10.10. http://www.michael-noll.com/tutorials/running-hadoop-on-ubuntu-linux-single-node-cluster/#installation I tried to save the compressed tar.gz file to /usr/local/ but it just won't save. I've tried saving the tar.gz in my home folder and desktop and copying the files to the desired folder, but I get an error that tells me I don't have permission. How do I save and extract a tar.gz folder to /usr/local/hadoop?

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  • Devoxx 2011: Java EE 6 Hands-on Lab Delivered

    - by arungupta
    I, along with Alexis's help, delivered a Java EE 6 hands-on lab to a packed room of about 40+ attendees at Devoxx 2011. The lab was derived from the OTN Developer Days 2012 version but added lot more content to showcase several Java EE 6 technologies. The problem statement from the lab document states: This hands-on lab builds a typical 3-tier Java EE 6 Web application that retrieves customer information from a database and displays it in a Web page. The application also allows new customers to be added to the database as well. The string-based and type-safe queries are used to query and add rows to the database. Each row in the database table is published as a RESTful resource and is then accessed programmatically. Typical design patterns required by a Web application like validation, caching, observer, partial page rendering, and cross-cutting concerns like logging are explained and implemented using different Java EE 6 technologies. The lab covered Java Persistence API 2, Servlet 3, Enterprise JavaBeans 3.1, JavaServer Faces 2, Java API for RESTful Web Services 1.1, Contexts and Dependency Injection 1.0, and Bean Validation 1.0 over 47 pages of detailed self-paced instructions. Here is the complete Table of Contents: The lab can be downloaded from here and requires only NetBeans IDE "All" or "Java EE" version, which includes GlassFish anyway. All the feedback received from the lab has been incorporated in the instructions and bugs filed (Updated 49559, 205232, 205248, 205256). 80% of the attendees could easily complete the lab and some even completed in much less than 3 hours. That indicates that either more content needs to be added to the lab or the intellectual level of the attendees at the conference was pretty high. I think the lab has enough content for 3 hours but we moved at a much more faster pace so I conclude on the latter. Truly a joy to conduct a lab to 40 Devoxxians! Another related lab that might be handy for folks is "Develop, Deploy, and Monitor your Java EE 6 applications using GlassFish 3.1 Cluster". It explains how: Create a 2-instance GlassFish cluster Front-end with a Web server and a load balancer Demonstrate session replication and fail over Monitor the application using JavaScript The complete lab instructions and source code are available and you can try them. I plan to continue evolving the contents for the Java EE 6 hands-on lab to cover more technologies and features and will announce them on this blog. Let me know on what else would you like to see in the future versions.

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  • Devoxx 2011: Java EE 6 Hands-on Lab Delivered

    - by arungupta
    I, along with Alexis's help, delivered a Java EE 6 hands-on lab to a packed room of about 40+ attendees at Devoxx 2011. The lab was derived from the OTN Developer Days 2012 version but added lot more content to showcase several Java EE 6 technologies. The problem statement from the lab document states: This hands-on lab builds a typical 3-tier Java EE 6 Web application that retrieves customer information from a database and displays it in a Web page. The application also allows new customers to be added to the database as well. The string-based and type-safe queries are used to query and add rows to the database. Each row in the database table is published as a RESTful resource and is then accessed programmatically. Typical design patterns required by a Web application like validation, caching, observer, partial page rendering, and cross-cutting concerns like logging are explained and implemented using different Java EE 6 technologies. The lab covered Java Persistence API 2, Servlet 3, Enterprise JavaBeans 3.1, JavaServer Faces 2, Java API for RESTful Web Services 1.1, Contexts and Dependency Injection 1.0, and Bean Validation 1.0 over 47 pages of detailed self-paced instructions. Here is the complete Table of Contents: The lab can be downloaded from here and requires only NetBeans IDE "All" or "Java EE" version, which includes GlassFish anyway. All the feedback received from the lab has been incorporated in the instructions and bugs filed (Updated 49559, 205232, 205248, 205256). 80% of the attendees could easily complete the lab and some even completed in much less than 3 hours. That indicates that either more content needs to be added to the lab or the intellectual level of the attendees at the conference was pretty high. I think the lab has enough content for 3 hours but we moved at a much more faster pace so I conclude on the latter. Truly a joy to conduct a lab to 40 Devoxxians! Another related lab that might be handy for folks is "Develop, Deploy, and Monitor your Java EE 6 applications using GlassFish 3.1 Cluster". It explains how: Create a 2-instance GlassFish cluster Front-end with a Web server and a load balancer Demonstrate session replication and fail over Monitor the application using JavaScript The complete lab instructions and source code are available and you can try them. I plan to continue evolving the contents for the Java EE 6 hands-on lab to cover more technologies and features and will announce them on this blog. Let me know on what else would you like to see in the future versions.

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  • Bay Area Coherence Special Interest Group Next Meeting July 21, 2011

    - by csoto
    Date: Thursday, July 21, 2011 Time: 4:30pm - 8:15pm ET (note that Parking at 475 Sansome Closes at 8:30pm) Where: Oracle Office, 475 Sansome Street, San Francisco, CA Google Map We will be providing snacks and beverages. Register! - Registration is required for building security. Presentation Line Up:? 5:10pm - Batch Processing Using Coherence in Oracle Group Policy Administration - Paul Cleary, Oracle Oracle Insurance Policy Administration (OIPA) is a flexible, rules-based policy administration solution that provides full record keeping for all policy lifecycle transactions. One component of OIPA is Cycle processing, which is the batch processing of pending insurance transactions. This presentation introduces OIPA and Cycle processing, describing the unique challenges of processing a high volume of transactions within strict time windows. It then reviews how OIPA uses Oracle Coherence and the Processing Pattern to meet these challenges, describing implementation specifics that highlight the simplicity and robustness of the Processing Pattern. 6:10pm - Secure, Optimize, and Load Balance Coherence with F5 - Chris Akker, F5 F5 Networks, Inc., the global leader in Application Delivery Networking, helps the world’s largest enterprises and service providers realize the full value of virtualization, cloud computing, and on-demand IT. Recently, F5 and Oracle partnered to deliver a novel solution that integrates Oracle Coherence 3.7 with F5 BIG-IP Local Traffic Manager (LTM). This session will introduce F5 and how you can leverage BIG-IP LTM to secure, optimize, and load balance application traffic generated from Coherence*Extend clients across any number of servers in a cluster and to hardware-accelerate CPU-intensive SSL encryption. 7:10pm - Using Oracle Coherence to Enable Database Partitioning and DC Level Fault Tolerance - Alexei Ragozin, Independent Consultant and Brian Oliver, Oracle Partitioning is a very powerful technique for scaling database centric applications. One tricky part of partitioned architecture is routing of requests to the right database. The routing layer (routing table) should know the right database instance for each attribute which may be used for routing (e.g. account id, login, email, etc): it should be fast, it should fault tolerant and it should scale. All the above makes Oracle Coherence a natural choice for implementing such routing tables in partitioned architectures. This presentation will cover synchronization of the grid with multiple databases, conflict resolution, cross cluster replication and other aspects related to implementing robust partitioned architecture. Additional Info:?? - Download Past Presentations: The presentations from the previous meetings of the BACSIG are available for download here. Click on the presentation titles to download the PDF files. - Join the Coherence online community on our Oracle Coherence Users Group on LinkedIn. - Contact BACSIG with any comments, questions, presentation proposals and content suggestions.

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  • WebLogic Server Weekly for March 26th, 2012: WLS 1211 Update, Java 7 Certification, Galleria, WebLogic for DBAs, REST and Enterprise Architecture, Singleton Services

    - by Steve Button
    WebLogic Server 12c Certified with Java 7 for Production Use WebLogic Server 12c (12.1.1) has been certified with JDK 7 for development usage since December and we have now completed JDK 7 certification for use with production systems. In doing so, we have updated the WebLogic Server 12c (12.1.1) distributions incorporating fixes associated with JDK 7 support as well as some bundled patches that address several issues that have been discovered since the initial release. These updated distributions are available for download from OTN and will be beneficial for all WebLogic Server 12c (12.1.1) users in general. What's New Release Notes Download Here! Updated Oracle WebLogic Server 12.1.1.0 distribution Never one to miss a trick, Markus Eisele was one of the first to notice the WebLogic Server 12c update and post a blog about it. Sources told me that as of Friday last week you have an updated version of WebLogic Server 12c on OTN. http://blog.eisele.net/2012/03/updated-oracle-weblogic-server-12110.html Using WebLogic Server 12c with Java 7 - Video To illustrate the use of Java 7 with WebLogic Server 12c, I put together a screen cam showing the creation of a domain using Java 7 and then build and deploy a simple web application that uses Java 7 syntax to show it working. Ireland OUG Presentation: WebLogic for DBAs Simon Haslam posted his slides from a presentation he gave Dublin on 21/3/12 at the OUG Ireland conference. In this presentation, he explains the core concepts and ideas behind WebLogic Server, walks through an installation and offers some tips and common gotcha's to avoid. Simon also covers some aspects of installing and use Enterprise Manager 12c. Note: I usually install the JVM and use the generic .jar installer rather than using an installer bundled with a JVM. http://www.slideshare.net/Veriton/weblogic-for-dbas-10h Slightly Retro: Jeff West on Enterprise Architecure and REST In this weeks flashback, we look at Jeff West's blog from early 2011 where he provides some thoughtful opinions on enterprise architecture and innovation, then jumps into his views on REST. After I progressed in my career and did more team-leading and architecture type roles I was ‘educated’ on what it meant to have Asynchronous and Long-Running processes as part of your Enterprise Application architecture. If I had a synchronous process then I needed a thread available to service the request and then provide the response. https://blogs.oracle.com/jeffwest/entry/weblogic_integration_wli_web_services_and_soap_and_rest_part_1 Starting Managed Servers without an Administration Server using Node Manager and WLST Blogger weblogic-tips shows how to start a managed server without going through the Administration Server, using the Node Manager and WLST. Connect WLST to a Node Manager by entering the nmConnect command. http://www.weblogic-tips.com/2012/02/18/starting-managed-servers-without-an-administration-server-using-node-manager-and-wlst/ Using WebLogic Server Singleton Services WebLogic Server has supported the notion of a Singleton Service for a number of releases, in which WebLogic Server will maintain a single instance of a configured singleton service on one managed server within a cluster. This blog demonstrates how the singleton service can be accessed and used from applications deployed on the cluster. http://buttso.blogspot.com.au/2012/03/weblogic-server-singleton-services.html

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  • New Oracles VM RAC template with support for oracle vm 3 built-in

    - by wcoekaer
    The RAC team did it again (thanks Saar!) - another awesome set of Oracle VM templates published and uploaded to My Oracle Support. You can find the main page here. What's special about the latest version of DeployCluster is that it integrates tightly with Oracle VM 3 manager. It basically is an Oracle VM frontend that helps start VMs, pass arguments down automatically and there is absolutely no need to log into the Oracle VM servers or the guests. Once it completes, you have an entire Oracle RAC database setup ready to go. Here's a short summary of the steps : Set up an Oracle VM 3 server pool Download the Oracle VM RAC template from oracle.com Import the template into Oracle VM using Oracle VM Manager repository - import Create a public and private network in Oracle VM Manager in the network tab Configure the template with the right public and private virtual networks Create a set of shared disks (physical or virtual) to assign to the VMs you want to create (for ASM/at least 5) Clone a set of VMs from the template (as many RAC nodes as you plan to configure) With Oracle VM 3.1 you can clone with a number so one clone command for, say 8 VMs is easy. Assign the shared devices/disks to the cloned VMs Create a netconfig.ini file on your manager node or a client where you plan to run DeployCluster This little text file just contains the IP addresses, hostnames etc for your cluster. It is a very simple small textfile. Run deploycluster.py with the VM names as argument Done. At this point, the tool will connect to Oracle VM Manager, start the VMs and configure each one, Configure the OS (Oracle Linux) Configure the disks with ASM Configure the clusterware (CRS) Configure ASM Create database instances on each node. Now you are ready to log in, and use your x node database cluster. x No need to download various products from various websites, click on trial licenses for the OS, go to a Virtual Machine store with sample and test versions only - this is production ready and supported. Software. Complete. example netconfig.ini : # Node specific information NODE1=racnode1 NODE1VIP=racnode1-vip NODE1PRIV=racnode1-priv NODE1IP=192.168.1.2 NODE1VIPIP=192.168.1.22 NODE1PRIVIP=10.0.0.22 NODE2=racnode2 NODE2VIP=racnode2-vip NODE2PRIV=racnode2-priv NODE2IP=192.168.1.3 NODE2VIPIP=192.168.1.23 NODE2PRIVIP=10.0.0.23 # Common data PUBADAP=eth0 PUBMASK=255.255.255.0 PUBGW=192.168.1.1 PRIVADAP=eth1 PRIVMASK=255.255.255.0 RACCLUSTERNAME=raccluster DOMAINNAME=mydomain.com DNSIP= # Device used to transfer network information to second node # in interview mode NETCONFIG_DEV=/dev/xvdc # 11gR2 specific data SCANNAME=racnode12-scan SCANIP=192.168.1.50

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  • DBA Best Practices - A Blog Series: Episode 1 - Backups

    - by Argenis
      This blog post is part of the DBA Best Practices series, on which various topics of concern for daily database operations are discussed. Your feedback and comments are very much welcome, so please drop by the comments section and be sure to leave your thoughts on the subject. Morning Coffee When I was a DBA, the first thing I did when I sat down at my desk at work was checking that all backups had completed successfully. It really was more of a ritual, since I had a dual system in place to check for backup completion: 1) the scheduled agent jobs to back up the databases were set to alert the NOC in failure, and 2) I had a script run from a central server every so often to check for any backup failures. Why the redundancy, you might ask. Well, for one I was once bitten by the fact that database mail doesn't work 100% of the time. Potential causes for failure include issues on the SMTP box that relays your server email, firewall problems, DNS issues, etc. And so to be sure that my backups completed fine, I needed to rely on a mechanism other than having the servers do the taking - I needed to interrogate the servers and ask each one if an issue had occurred. This is why I had a script run every so often. Some of you might have monitoring tools in place like Microsoft System Center Operations Manager (SCOM) or similar 3rd party products that would track all these things for you. But at that moment, we had no resort but to write our own Powershell scripts to do it. Now it goes without saying that if you don't have backups in place, you might as well find another career. Your most sacred job as a DBA is to protect the data from a disaster, and only properly safeguarded backups can offer you peace of mind here. "But, we have a cluster...we don't need backups" Sadly I've heard this line more than I would have liked to. You need to understand that a cluster is comprised of shared storage, and that is precisely your single point of failure. A cluster will protect you from an issue at the Operating System level, and also under an outage of any SQL-related service or dependent devices. But it will most definitely NOT protect you against corruption, nor will it protect you against somebody deleting data from a table - accidentally or otherwise. Backup, fine. How often do I take a backup? The answer to this is something you will hear frequently when working with databases: it depends. What does it depend on? For one, you need to understand how much data your business is willing to lose. This is what's called Recovery Point Objective, or RPO. If you don't know how much data your business is willing to lose, you need to have an honest and realistic conversation about data loss expectations with your customers, internal or external. From my experience, their first answer to the question "how much data loss can you withstand?" will be "zero". In that case, you will need to explain how zero data loss is very difficult and very costly to achieve, even in today's computing environments. Do you want to go ahead and take full backups of all your databases every hour, or even every day? Probably not, because of the impact that taking a full backup can have on a system. That's what differential and transaction log backups are for. Have I answered the question of how often to take a backup? No, and I did that on purpose. You need to think about how much time you have to recover from any event that requires you to restore your databases. This is what's called Recovery Time Objective. Again, if you go ask your customer how long of an outage they can withstand, at first you will get a completely unrealistic number - and that will be your starting point for discussing a solution that is cost effective. The point that I'm trying to get across is that you need to have a plan. This plan needs to be practiced, and tested. Like a football playbook, you need to rehearse the moves you'll perform when the time comes. How often is up to you, and the objective is that you feel better about yourself and the steps you need to follow when emergency strikes. A backup is nothing more than an untested restore Backups are files. Files are prone to corruption. Put those two together and realize how you feel about those backups sitting on that network drive. When was the last time you restored any of those? Restoring your backups on another box - that, by the way, doesn't have to match the specs of your production server - will give you two things: 1) peace of mind, because now you know that your backups are good and 2) a place to offload your consistency checks with DBCC CHECKDB or any of the other DBCC commands like CHECKTABLE or CHECKCATALOG. This is a great strategy for VLDBs that cannot withstand the additional load created by the consistency checks. If you choose to offload your consistency checks to another server though, be sure to run DBCC CHECKDB WITH PHYSICALONLY on the production server, and if you're using SQL Server 2008 R2 SP1 CU4 and above, be sure to enable traceflags 2562 and/or 2549, which will speed up the PHYSICALONLY checks further - you can read more about this enhancement here. Back to the "How Often" question for a second. If you have the disk, and the network latency, and the system resources to do so, why not backup the transaction log often? As in, every 5 minutes, or even less than that? There's not much downside to doing it, as you will have to clear the log with a backup sooner than later, lest you risk running out space on your tlog, or even your drive. The one drawback to this approach is that you will have more files to deal with at restore time, and processing each file will add a bit of extra time to the entire process. But it might be worth that time knowing that you minimized the amount of data lost. Again, test your plan to make sure that it matches your particular needs. Where to back up to? Network share? Locally? SAN volume? This is another topic where everybody has a favorite choice. So, I'll stick to mentioning what I like to do and what I consider to be the best practice in this regard. I like to backup to a SAN volume, i.e., a drive that actually lives in the SAN, and can be easily attached to another server in a pinch, saving you valuable time - you wouldn't need to restore files on the network (slow) or pull out drives out a dead server (been there, done that, it’s also slow!). The key is to have a copy of those backup files made quickly, and, if at all possible, to a remote target on a different datacenter - or even the cloud. There are plenty of solutions out there that can help you put such a solution together. That right there is the first step towards a practical Disaster Recovery plan. But there's much more to DR, and that's material for a different blog post in this series.

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  • Oracle is Sponsoring LinuxCon Europe 2012

    - by Zeynep Koch
    Architecture is amazing in Barcelona but you will also be impressed with Oracle Linux sessions in LinuxCon Europe as well.  Oracle is one of the key sponsors in LinuxCon Europe and we have great sessions to show you why Oracle Linux is best for your "IT architecture"! We also have a booth where you can pick up latest Oracle Linux and Oracle VM DVD Kit and Virtualization for Dummies booklet. Don't forget to visit us at technology showcase Booth #19. Oracle Sessions at LinuxCon Europe 2012:  1. OCFS2: Status and Overview - Lenz Grimmer, Oracle Wednesday November 7, 2012 10:40am - 11:25am Venue: Diamant OCFS2, Oracle's general-purpose shared-disk cluster file system for Linux has come a long way since its development started in 2003. Distributed under the GPL and part of the mainline Linux Kernel, it is also included in Oracle Linux and plays a vital role in products like Oracle VM, Oracle RAC or E-Business Suite. This presentation will provide a general technical overview as well as an update on the latest developments. Attendees will learn about the features and improvements that set OCFS2 apart from other Linux-based cluster file systems, including: Heartbeat implementation: global vs. local heartbeats Storage optimizations: Extent-based Allocations, Hole punching, Reflinks 2. Status of Linux Tracing - Elena Zannoni, Oracle Wednesday November 7, 2012 11:35am - 12:20am Venue: Diamant There have been many developments recently in the Linux tracing area. The tracing infrastructure in the kernel is getting more robust, with  the recent introduction of uprobes to allow the implementation of user  space tracing, and new features of perf. There are many tracing tools to choose from, including the newest kid on the block, DTrace for Linux.  This talk will take the audience through the main tracing facilities  available today whether more tightly integrated with the kernel code, or maintained stand alone. 3. MySQL Security Model and Pluggable Authentication - Kristofer Pettersson, Oracle Wednesday November 7, 2012 1:50pm - 2:35pm Venue: Diamant With an increasing security awareness among web and cloud developers, knowing how to secure your database from unauthorized or malicious access has become important. This talk explains the MySQL security model, pluggable authentication, new auditing features and rounds off with some pointers on how to securely integrate your database into your Linux web stack. We look forward to seeing you in Barcelona, Spain on November 5-9, 2012. Register today 

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  • Unable to install Hadoop in Ubuntu 12.04

    - by Anitha
    I am trying to install hadoop in ubuntu 12.04 version. Following the instructions from michael-noll.com/tutorials/running-hadoop-on-ubuntu-linux-single-node-cluster/. Installed java-6-openjdk from ubuntu software center. I have set java_home in .bashrc.Also set java_home in hadoop conf/ env.sh. While formatting the namenode, getting error: usr/lib/jvm/java-6-openjdk/bin/java no such file or directory.

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  • Class instance clustering in object reference graph for multi-entries serialization

    - by Juh_
    My question is on the best way to cluster a graph of class instances (i.e. objects, the graph nodes) linked by object references (the -directed- edges of the graph) around specifically marked objects. To explain better my question, let me explain my motivation: I currently use a moderately complex system to serialize the data used in my projects: "marked" objects have a specific attributes which stores a "saving entry": the path to an associated file on disc (but it could be done for any storage type providing the suitable interface) Those object can then be serialized automatically (eg: obj.save()) The serialization of a marked object 'a' contains implicitly all objects 'b' for which 'a' has a reference to, directly s.t: a.b = b, or indirectly s.t.: a.c.b = b for some object 'c' This is very simple and basically define specific storage entries to specific objects. I have then "container" type objects that: can be serialized similarly (in fact their are or can-be "marked") they don't serialize in their storage entries the "marked" objects (with direct reference): if a and a.b are both marked, a.save() calls b.save() and stores a.b = storage_entry(b) So, if I serialize 'a', it will serialize automatically all objects that can be reached from 'a' through the object reference graph, possibly in multiples entries. That is what I want, and is usually provides the functionalities I need. However, it is very ad-hoc and there are some structural limitations to this approach: the multi-entry saving can only works through direct connections in "container" objects, and there are situations with undefined behavior such as if two "marked" objects 'a'and 'b' both have a reference to an unmarked object 'c'. In this case my system will stores 'c' in both 'a' and 'b' making an implicit copy which not only double the storage size, but also change the object reference graph after re-loading. I am thinking of generalizing the process. Apart for the practical questions on implementation (I am coding in python, and use Pickle to serialize my objects), there is a general question on the way to attach (cluster) unmarked objects to marked ones. So, my questions are: What are the important issues that should be considered? Basically why not just use any graph parsing algorithm with the "attach to last marked node" behavior. Is there any work done on this problem, practical or theoretical, that I should be aware of? Note: I added the tag graph-database because I think the answer might come from that fields, even if the question is not.

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  • DBA Best Practices - A Blog Series: Episode 1 - Backups

    - by Argenis
      This blog post is part of the DBA Best Practices series, on which various topics of concern for daily database operations are discussed. Your feedback and comments are very much welcome, so please drop by the comments section and be sure to leave your thoughts on the subject. Morning Coffee When I was a DBA, the first thing I did when I sat down at my desk at work was checking that all backups have completed successfully. It really was more of a ritual, since I had a dual system in place to check for backup completion: 1) the scheduled agent jobs to back up the databases were set to alert the NOC in failure, and 2) I had a script run from a central server every so often to check for any backup failures. Why the redundancy, you might ask. Well, for one I was once bitten by the fact that database mail doesn't work 100% of the time. Potential causes for failure include issues on the SMTP box that relays your server email, firewall problems, DNS issues, etc. And so to be sure that my backups completed fine, I needed to rely on a mechanism other than having the servers do the taking - I needed to interrogate the servers and ask each one if an issue had occurred. This is why I had a script run every so often. Some of you might have monitoring tools in place like Microsoft System Center Operations Manager (SCOM) or similar 3rd party products that would track all these things for you. But at that moment, we had no resort but to write our own Powershell scripts to do it. Now it goes without saying that if you don't have backups in place, you might as well find another career. Your most sacred job as a DBA is to protect the data from a disaster, and only properly safeguarded backups can offer you peace of mind here. "But, we have a cluster...we don't need backups" Sadly I've heard this line more than I would have liked to. You need to understand that a cluster is comprised of shared storage, and that is precisely your single point of failure. A cluster will protect you from an issue at the Operating System level, and also under an outage of any SQL-related service or dependent devices. But it will most definitely NOT protect you against corruption, nor will it protect you against somebody deleting data from a table - accidentally or otherwise. Backup, fine. How often do I take a backup? The answer to this is something you will hear frequently when working with databases: it depends. What does it depend on? For one, you need to understand how much data your business is willing to lose. This is what's called Recovery Point Objective, or RPO. If you don't know how much data your business is willing to lose, you need to have an honest and realistic conversation about data loss expectations with your customers, internal or external. From my experience, their first answer to the question "how much data loss can you withstand?" will be "zero". In that case, you will need to explain how zero data loss is very difficult and very costly to achieve, even in today's computing environments. Do you want to go ahead and take full backups of all your databases every hour, or even every day? Probably not, because of the impact that taking a full backup can have on a system. That's what differential and transaction log backups are for. Have I answered the question of how often to take a backup? No, and I did that on purpose. You need to think about how much time you have to recover from any event that requires you to restore your databases. This is what's called Recovery Time Objective. Again, if you go ask your customer how long of an outage they can withstand, at first you will get a completely unrealistic number - and that will be your starting point for discussing a solution that is cost effective. The point that I'm trying to get across is that you need to have a plan. This plan needs to be practiced, and tested. Like a football playbook, you need to rehearse the moves you'll perform when the time comes. How often is up to you, and the objective is that you feel better about yourself and the steps you need to follow when emergency strikes. A backup is nothing more than an untested restore Backups are files. Files are prone to corruption. Put those two together and realize how you feel about those backups sitting on that network drive. When was the last time you restored any of those? Restoring your backups on another box - that, by the way, doesn't have to match the specs of your production server - will give you two things: 1) peace of mind, because now you know that your backups are good and 2) a place to offload your consistency checks with DBCC CHECKDB or any of the other DBCC commands like CHECKTABLE or CHECKCATALOG. This is a great strategy for VLDBs that cannot withstand the additional load created by the consistency checks. If you choose to offload your consistency checks to another server though, be sure to run DBCC CHECKDB WITH PHYSICALONLY on the production server, and if you're using SQL Server 2008 R2 SP1 CU4 and above, be sure to enable traceflags 2562 and/or 2549, which will speed up the PHYSICALONLY checks further - you can read more about this enhancement here. Back to the "How Often" question for a second. If you have the disk, and the network latency, and the system resources to do so, why not backup the transaction log often? As in, every 5 minutes, or even less than that? There's not much downside to doing it, as you will have to clear the log with a backup sooner than later, lest you risk running out space on your tlog, or even your drive. The one drawback to this approach is that you will have more files to deal with at restore time, and processing each file will add a bit of extra time to the entire process. But it might be worth that time knowing that you minimized the amount of data lost. Again, test your plan to make sure that it matches your particular needs. Where to back up to? Network share? Locally? SAN volume? This is another topic where everybody has a favorite choice. So, I'll stick to mentioning what I like to do and what I consider to be the best practice in this regard. I like to backup to a SAN volume, i.e., a drive that actually lives in the SAN, and can be easily attached to another server in a pinch, saving you valuable time - you wouldn't need to restore files on the network (slow) or pull out drives out a dead server (been there, done that, it’s also slow!). The key is to have a copy of those backup files made quickly, and, if at all possible, to a remote target on a different datacenter - or even the cloud. There are plenty of solutions out there that can help you put such a solution together. That right there is the first step towards a practical Disaster Recovery plan. But there's much more to DR, and that's material for a different blog post in this series.

    Read the article

  • Découvrir Hadoop, avec un tutoriel traduit par Stéphane Dupont

    Bonjour,Je vous présente ce tutoriel traduit par Stéphane Dupont intitulé : Tutoriel Hadoop Hadoop est un système distribué, tolérant aux pannes, pour le stockage de données et qui est hautement scalable. Cette capacité de monter en charge est le résultat d'un stockage en cluster à haute bande passante et répliqué, connu sous l'acronyme de HDFS (Hadoop Distributed File System) et d'un traitement distribué...

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  • how to setup hive on a single node?

    - by Harman
    I successfully setup hadoop on ubuntu 10.04 on a single node by going through the steps mentioned in Michael Noll's tutorial ( Running Hadoop On Ubuntu Linux (Single-Node Cluster) ). Now, I'm trying to setup hive on the same machine but I'm stuck as of what to do after I decompress the hive-0.8.1-bin.tar.gz and move it to /usr/local/hive. Any help would be appreciated but as I'm new to Linux, it would be very helpful if someone could help me step-by-step.

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  • How to install Hadoop?

    - by Anitha
    I am trying to install Hadoop in Ubuntu 12.04 version. Following the instructions from http://michael-noll.com/tutorials/running-hadoop-on-ubuntu-linux-single-node-cluster/, I installed java-6-openjdk from Ubuntu software-center. I have set java_home in .bashrc. Also set java_home in Hadoop conf/env.sh. While formatting the namenode, I am getting the following error: usr/lib/jvm/java-6-openjdk/bin/java no such file or directory. Thank you. But it's a 64bit OS.

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  • Exalogic 2.0.1 Tea Break Snippets - Creating and using Distribution Groups

    - by The Old Toxophilist
    By default running your Exalogic in a Virtual provides you with, what to Cloud Users, is a single large resource and they can just create vServers and not care about how they are laid down on the the underlying infrastructure. All the Cloud Users will know is that they can create vServers. For example if we have a Quarter Rack (8 Nodes) and our Cloud User creates 8 vServers those 8 vServers may run on 8 distinct nodes or may all run on the same node. Although in many cases we, as Cloud Users, may not be to worried how the Virtualisation Algorithm decides where to place our vServers there are cases where it is extremely important that vServers run on distinct physical compute nodes. For example if we have a Weblogic Cluster we will want the Servers with in the cluster to run on distinct physical node to cover for the situation where one physical node is lost. To achieve this the Exalogic Virtualised implementation provides Distribution Groups that define and anti-aliasing policy that the underlying Virtualisation Algorithm will take into account when placing vServers. It should be noted that Distribution Groups must be created before you create vServers because a vServer can only be added to a Distribution Group at creation time. Creating A Distribution Group To create a Distribution Groups we will first need to select the Account in which we want the Distribution Group to be created. Once we have selected the account we will see the Interface update and Account specific Actions will be displayed within the Action Panes. From the Action pane (or Right-Click on the Account) select the "Create Distribution Group" action. This will initiate the create wizard as follows. Distribution Group Details Within the first Step of the Wizard we can specify the name of the distribution group and this should be unique. In addition we can provide a detailed description of the group. Distribution Group Configuration The second step of the configuration wizard allows you to specify the number of elements that are required within this group and will specify a maximum of the number of nodes within you Exalogic. At this point it is always better to specify a group with spare capacity allowing for future expansion. As vServers are added to group the available slots decrease. Summary Finally the last step of the wizard display a summary of the information entered.

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  • The MySQL Community talks in Japan, Tokyo

    - by Lenka Kasparova
    There will be 2 community meetups in Tokyo in Japan scheduled for June 2014. Please check and join following:  MySQL Casual Talks vol.6 Date: June 11th, 2014 Time: 19:00 Place: Oracle office, Oracle Aoyama Center, 2-5-8 Kita-Aoyama, Minato-ku, Tokyo, Japan More info & Registration MySQL Cluster Casual Talk #2 Date: June 25th, 2014 Time: 19:00 Place: GMO Yours, Cerulean Tower 11F, Shibuya-kuy, Tokyo, Japan More info & registration

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  • The cost of Programmer Team Clustering

    - by MarkPearl
    I recently was involved in a conversation about the productivity of programmers and the seemingly wide range in abilities that different programmers have in this industry. Some of the comments made were reiterated a few days later when I came across a chapter in Code Complete (v2) where it says "In programming specifically, many studies have shown order-of-magnitude differences in the quality of the programs written, the sizes of the programs written, and the productivity of programmers". In line with this is another comment presented by Code Complete when discussing teams - "Good programmers tend to cluster, as do bad programmers". This is something I can personally relate to. I have come across some really good and bad programmers and 99% of the time it turns out the team they work in is the same - really good or really bad. When I have found a mismatch, it hasn't stayed that way for long - the person has moved on, or the team has ejected the individual. Keeping this in mind I would like to comment on the risks an organization faces when forcing teams to remain together regardless of the mix. When you have the situation where someone is not willing to be part of the team but still wants to get a pay check at the end of each month, it presents some interesting challenges and hard decisions to make. First of all, when this occurs you need to give them an opportunity to change - for someone to change, they need to know what the problem is and what is expected. It is unreasonable to expect someone to change but have not indicated what they need to change and the consequences of not changing. If after a reasonable time of an individual being aware of the problem and not making an effort to improve you need to do two things... Follow through with the consequences of not changing. Consider the impact that this behaviour will have on the rest of the team. What is the cost of not following through with the consequences? If there is no follow through, it is often an indication to the individual that they can continue their behaviour. Why should they change if you don't care enough to keep your end of the agreement? In many ways I think it is very similar to the "Broken Windows" principles – if you allow the windows to break and don’t fix them, more will get broken. What is the cost of keeping them on? When keeping a disruptive influence in a team you risk loosing the good in the team. As Code Complete says, good and bad programmers tend to cluster - they have a tendency to keep this balance - if you are not going to help keep the balance they will. The cost of not removing a disruptive influence is that the good in the team will eventually help you maintain the clustering themselves by leaving.

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