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  • Announcing MySQL Enterprise Backup 3.7.1

    - by Hema Sridharan
    The MySQL Enterprise Backup (MEB) Team is pleased to announce the release of MEB 3.7.1, a maintenance release version that includes bug fixes and enhancements to some of the existing features. The most important feature introduced in this release is Automatic Incremental Backup. The new  argument syntax for the --incremental-base option is introduced which makes it simpler to perform automatic incremental backups. When the options --incremental & --incremental-base=history:last_backup are combined, the mysqlbackup command  uses the metadata in the mysql.backup_history table to determine the LSN to use as the lower limit of the incremental backup. You no longer need to keep track of the actual LSN (as in the option --start-lsn=LSN) or even the location of the previous backup (as in the option --incremental-base=dir:directory_path)This release also incudes various bug fixes related to some options used in MEB. The most important are few of them as listed below,1. The option --force now allows overwriting InnoDB data and log files in  combination with the apply-log and apply-incremental-backup options, and replacing the image file in combination with the backup-to-image and backup-dir-to-image options. 2. Resolved a bug that prevented MEB to interface with third-party storage managers to execute backup and restore jobs in combination with the SBT interface and associated --sbt* options for mysqlbackup. 3. When MEB is run with the copy-back option,  it now displays warnings as existing files are overwritten.For more information about other bug fixes, please refer to the change-log in http://dev.mysql.com/doc/mysql-enterprise-backup/3.7/en/meb-news.html The complete MEB documentation is located at http://dev.mysql.com/doc/mysql-enterprise-backup/3.7/en/index.html. You will find the binaries for the new release in My Oracle Support,  https://support.oracle.comChoose the "Patches & Updates" tab, and then use the "Product or Family (Advanced Search)" feature. If you haven't looked at MEB 3.7.1 recently, please do so now and let us know how MEB works for you. Send your feedback to [email protected].

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  • Version Control & Build Systems free Headspring on 5/18

    Headspring is putting on another free workshop at the Austin Microsoft office.  This one will be led by Senior Consultant, Eric Anderson.  Here are the details: Headspring Presents: Version Control and Build Systems for Growing Teams a workshop by Eric Anderson on: Does your team run into frequent conflicts with source control? Has your build system become a broken window with little hope of repair? Do you struggle to deploy minor changes and bug fixes while keeping the system stable?...Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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  • Oracle E-Business Suite Partners Get Plugged In - Oracle Enterprise Manager 12c

    - by Get_Specialized!
      Oracle E-Business Suite Plug-in, an integral part of Application Management Suite for Oracle E-Business Suite, is Generally Available. More information may be found in note 1434392.1 on MyOracle Support. Oracle E-Business Suite Plug-in can be accessed a few ways: Fresh install Enterprise Manager Store Oracle Software Delivery Cloud   Upgrade Oracle Technology Network Please refer to the Application Management Pack for Oracle E-Business Suite Guide for further details. If you are a partner and have not yet joined the Oracle PartnerNetwork Enterprise Manager KnowledgeZone, be sure and sign up today to learn more about Oracle Application Management and how it can aid your customers and business.

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  • Oracle's Vision for the Social-Enabled Enterprise

    - by Peggy Chen
    Register Now Join us for the Webcast. Mon., Sept. 10, 2012 10 a.m. PT / 1 p.m. ET Join the conversation: #oracle and #socbiz Mark Hurd President, Oracle Thomas Kurian Executive Vice President, Product Development, Oracle Reggie Bradford Senior Vice President, Product Development, Oracle Dear Colleague, Smart companies are developing social media strategies to engage customers, gain brand insights, and transform employee collaboration and recruitment. Oracle is powering this transformation with the most comprehensive enterprise social platform that lets you: Monitor and engage in social conversations Collect and analyze social data Build and grow brands through social media Integrate enterprisewide social functionality into a single system Create rich social applications Join Oracle President Mark Hurd and senior Oracle executives to learn more about Oracle’s vision for the social-enabled enterprise. Register now for this Webcast. Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Contact Us | Legal Notices and Terms of Use | Privacy Statement

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  • MySQL Enterprise Backup 3.8.2 - Overview

    - by Priya Jayakumar
      MySQL Enterprise Backup (MEB) is the ideal solution for backing up MySQL databases. MEB 3.8.2 is released in June 2013. MySQL Enterprise Backup 3.8.2 release’s main goal is to improve usability. With this release, users can know the progress of backup completed both in terms of size and as a percentage of the total. This release also offers options to be able to manage the behavior of MEB in case the space on the secondary storage is completely exhausted during backup. The progress indicator is a (short) string that indicates how far the execution of a time-consuming MEB command has progressed. It consists of one or more "meters" that measures the progress of the command. There are two options introduced to control the progress reporting function of mysqlbackup command (1) –show-progress (2) –progress-interval. The user can control the progress indicator by using “--show-progress” option in any of the MEB operations. This option instructs MEB to output periodically short reports on the progress of time-consuming commands. The argument of this option instructs where the output could be sent. For example it could be stderr, stdout, file, fifo and table. With the “--show-progress” option both the total size of the backup to be copied and the size that’s already copied will be shown. Along with this, the state of the operation for example data or meta-data being copied or tables being locked and other such operations will also be reported. This gives more clear information to the DBA on the progress of the backup that’s happening. Interval between progress report in seconds is controlled by “--progress-interval” option. For more information on this please refer progress-report-options. MEB can also be accessed through GUI from MySQL WorkBench’s next version. This can be used as the front end interface for MEB users to perform backup operations at the click of a button. This feature was highly requested by DBAs and will be very useful. Refer http://insidemysql.com/mysql-workbench-6-0-a-sneak-preview/ for WorkBench upcoming release info. Along with the progress report feature some of the important issues like below are also addressed in MEB 3.8.2. In MEB 3.8.2 a new command line option “--on-disk-full” is introduced to abort or warn the user when a backup process encounters a full disk condition. When no option is given, by default it would abort. A few issues related to “incremental-backup” are also addressed in this release. Please refer 3.8.2 documentation for more details. It would be good for MEB users to move to 3.8.2 to take incremental backups. Overall the added usability and the important defects fixed in this release makes MySQL Enterprise Backup 3.8.2 a promising release.  

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  • Writing use cases for XML mapping scenarios between two different systems

    - by deepak_prn
    I am having some trouble writing use cases for XML mapping after a certain trigger invoked by the system. For example, one of the scenarios goes: the store cashier sells an item, the transaction data is sent to Data management system. Now, I am writing a functional design for the scenario which deals with mapping XML fields between our system and the data management system. Question : I was wondering if some one had to deal with writing use cases or extension use cases for mapping XML fields between two systems? (There is no XSLT involved) and if you used a table to represent the fields mapping (example is below) or any other visualization tool which does not break the bank ? I searched many questions on SO and here but nothing came close to my requirement.

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  • Podcast: Dell Perot Systems Relies on Oracle In-Memory Database Cache

    - by john.brust
    Recently we spoke with Bill Binko, Technology Consultant at Dell Perot Systems, about a high volume web-based content delivery system they implemented for a client with Oracle In-Memory Database Cache. Their client needed to respond to ~1 billion hits (web requests) per day, but hadn't been able to support this load. Oracle In-Memory Database Cache allowed for multiple & complicated queries to take place without ever hitting the disk...providing sub-millisecond response time and ability to manage much higher high volumes of data. Old System: Old SQL Server Database, over 300 servers, difficult to maintain. New System: One Oracle Database 11g instance, multiple Oracle RAC nodes, backed up by Oracle Data Guard, and Oracle In-Memory Database Cache to cut query response times by 10x. Listen to the podcast.

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  • Optimistic work sharing on sparsely distributed systems

    - by Asti
    What would a system like BOINC look like if it were written today? At the time BOINC was written, databases were the primary choice for maintaining a shared state and concurrency among nodes. Since then, many approaches have been developed for tasking with optimistic concurrency (OT, partial synchronization primitives, shared iterators etc.) Is there an optimal paradigm for optimistically distributing units of work on sparsely distributing systems which communicate through message passing? Sorry if this is a bit vague. P.S. The concept of Tuple-spaces is great, but locking is inherent to its definition. Edit: I already have a federation system which works very well. I have a reactive OT system is implemented on top of it. I'm looking to extend it to get clients to do units of work.

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  • Save the date For AutoVue Enterprise Visualization at Oracle OpenWorld 2013

    - by Gerald Fauteux
    Planning to attend Oracle OpenWorld 2013 (September 22–26, 2013)?  If so, be sure to check out the various Enterprise Visualization activities that you can take advantage of while in San Francisco. Enterprise Visualization Sessions: CON8992 - Qualcomm Streamlines Its Design and Manufacturing Process with AutoVue/Agile Products. Click here for full session description. Customer Speakers: Mary Legaspi - Staff Systems Administrator and Ravi Sankaran - Sr. Staff Systems Analyst, Qualcomm CON8741 - Visual Information Navigator: Next-Generation Interaction Paradigm. Click here for full session description. Speakers: Rozita Naghshin - Sr. Principal Product Manager-Visual Information Navigator and Thierry Bonfante - Senior Director Product Development, Oracle Other Activities  There will be an “Oracle’s AutoVue & Visual Information Navigator" pod in the exhibit hall Come and meet Oracle’s Visualization experts at the SCM product lounge, and have exclusive 1 on 1 or group conversations with development and strategy experts.     Check back shortly for the dates and times of these activities

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  • Announcing Solaris Technical Track at NLUUG Spring Conference on Operating Systems

    - by user9135656
    The Netherlands Unix Users Group (NLUUG) is hosting a full-day technical Solaris track during its spring 2012 conference. The official announcement page, including registration information can be found at the conference page.This year, the NLUUG spring conference focuses on the base of every computing platform; the Operating System. Hot topics like Cloud Computing and Virtualization; the massive adoption of mobile devices that have their special needs in the OS they run but that at the same time put the challenge of massive scalability onto the internet; the upspring of multi-core and multi-threaded chips..., all these developments cause the Operating System to still be a very interesting area where all kinds of innovations have taken and are taking place.The conference will focus specifically on: Linux, BSD Unix, AIX, Windows and Solaris. The keynote speech will be delivered by John 'maddog' Hall, infamous promotor and supporter of UNIX-based Operating Systems. He will talk the audience through several decades of Operating Systems developments, and share many stories untold so far. To make the conference even more interesting, a variety of talks is offered in 5 parallel tracks, covering new developments in and  also collaboration  between Linux, the BSD's, AIX, Solaris and Windows. The full-day Solaris technical track covers all innovations that have been delivered in Oracle Solaris 11. Deeply technically-skilled presenters will talk on a variety of topics. Each topic will first be introduced at a basic level, enabling visitors to attend to the presentations individually. Attending to the full day will give the audience a comprehensive overview as well as more in-depth understanding of the most important new features in Solaris 11.NLUUG Spring Conference details:* Date and time:        When : April 11 2012        Start: 09:15 (doors open: 8:30)        End  : 17:00, (drinks and snacks served afterwards)* Venue:        Nieuwegein Business Center        Blokhoeve 1             3438 LC Nieuwegein              The Nederlands          Tel     : +31 (0)30 - 602 69 00        Fax     : +31 (0)30 - 602 69 01        Email   : [email protected]        Route   : description - (PDF, Dutch only)* Conference abstracts and speaker info can be found here.* Agenda for the Solaris track: Note: talks will be in English unless marked with 'NL'.1.      Insights to Solaris 11         Joerg Moellenkamp - Solaris Technical Specialist         Oracle Germany2.      Lifecycle management with Oracle Solaris 11         Detlef Drewanz - Solaris Technical Specialist         Oracle Germany3.      Solaris 11 Networking - Crossbow Project        Andrew Gabriel - Solaris Technical Specialist        Oracle UK4.      ZFS: Data Integrity and Security         Darren Moffat - Senior Principal Engineer, Solaris Engineering         Oracle UK5.      Solaris 11 Zones and Immutable Zones (NL)         Casper Dik - Senior Staff Engineer, Software Platforms         Oracle NL6.      Experiencing Solaris 11 (NL)         Patrick Ale - UNIX Technical Specialist         UPC Broadband, NLTalks are 45 minutes each.There will be a "Solaris Meeting point" during the conference where people can meet-up, chat with the speakers and with fellow Solaris enthousiasts, and where live demos or other hands-on experiences can be shared.The official announcement page, including registration information can be found at the conference page on the NLUUG website. This site also has a complete list of all abstracts for all talks.Please register on the NLUUG website.

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  • NGN/NLUUG conferentie vj2012: Operating Systems

    - by nospam(at)example.com (Joerg Moellenkamp)
    On April 11th, 2012 the Spring 2012 conference with the topic overarching topic "Operating Systems" takes place in Nieuwegein near Utrecht. Besides talks about Linux, Windows and AIX, there will be a track about Solaris. I will be the first speaker in the Solaris track and giving an overview about Solaris 11 and how features interact. Later on renowned experts like Detlef Drewanz ("Lifecycle Management with Oracle Solaris 11"), Andrew Gabriel ("Solaris 11 Networking - Crossbow Project"), Darren Moffat ("ZFS: Data integrity and Security") and Casper Dik ("Solaris 11 Zones and Immutable Zones") will take over. Finally Patrick Ale of UPC Broadband talks about his experiences with Solaris 11. When you want more information about this conference or register for it, you will find the webpage of the event at the NLUUG site.

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  • DB Enterprise User Security Integration With Directory Services

    - by Etienne Remillon
    Gain a better understanding of how to integrate Enterprise User Security (EUS) with various Directories by attending this 1 hour Advisor Webcast!  When: July 11, 2012 at 16:00 UK / 17:00 CET / 08:00 am Pacific / 9:00 am Mountain / 11:00 am Eastern Enterprise User Security (EUS) is a DB feature to externalize, and centrally manage DB users in a directory server. The webcast will briefly introduce EUS, followed by a detailed discussion about the various directory options that are supported, including integration with Microsoft Active Directory. We'll conclude how to avoid common pitfalls deploying EUS with directory services. TOPICS WILL INCLUDE: - Understand EUS basics - Understand EUS and directory integration options - Avoid common EUS deployment mistakes Make sure to register and mark this date on your calendar! - Details and registration.

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  • Twin Cities Connected Systems User Group Meeting May 20th, 2010

    If you are in Minneapolis on Thursday May 20th please join us for the Twin Cities Connected Systems User Group Meeting. The meeting takes place at 6:00 p.m. at the Microsoft offices at 8300 Norman Center Drive, Bloomington, MN 55437. Scott Colestock will be speaking on Everything you wanted to know about Velocity but were afraid to cache Here is a write-up of what will be covered: Scott Colestock will be talking about Microsoft's AppFabric Cache.  The AppFabric Cache (aka Velocity)...Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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  • Solving Big Problems with Oracle R Enterprise, Part I

    - by dbayard
    Abstract: This blog post will show how we used Oracle R Enterprise to tackle a customer’s big calculation problem across a big data set. Overview: Databases are great for managing large amounts of data in a central place with rigorous enterprise-level controls.  R is great for doing advanced computations.  Sometimes you need to do advanced computations on large amounts of data, subject to rigorous enterprise-level concerns.  This blog post shows how Oracle R Enterprise enables R plus the Oracle Database enabled us to do some pretty sophisticated calculations across 1 million accounts (each with many detailed records) in minutes. The problem: A financial services customer of mine has a need to calculate the historical internal rate of return (IRR) for its customers’ portfolios.  This information is needed for customer statements and the online web application.  In the past, they had solved this with a home-grown application that pulled trade and account data out of their data warehouse and ran the calculations.  But this home-grown application was not able to do this fast enough, plus it was a challenge for them to write and maintain the code that did the IRR calculation. IRR – a problem that R is good at solving: Internal Rate of Return is an interesting calculation in that in most real-world scenarios it is impractical to calculate exactly.  Rather, IRR is a calculation where approximation techniques need to be used.  In this blog post, we will discuss calculating the “money weighted rate of return” but in the actual customer proof of concept we used R to calculate both money weighted rate of returns and time weighted rate of returns.  You can learn more about the money weighted rate of returns here: http://www.wikinvest.com/wiki/Money-weighted_return First Steps- Calculating IRR in R We will start with calculating the IRR in standalone/desktop R.  In our second post, we will show how to take this desktop R function, deploy it to an Oracle Database, and make it work at real-world scale.  The first step we did was to get some sample data.  For a historical IRR calculation, you have a balances and cash flows.  In our case, the customer provided us with several accounts worth of sample data in Microsoft Excel.      The above figure shows part of the spreadsheet of sample data.  The data provides balances and cash flows for a sample account (BMV=beginning market value. FLOW=cash flow in/out of account. EMV=ending market value). Once we had the sample spreadsheet, the next step we did was to read the Excel data into R.  This is something that R does well.  R offers multiple ways to work with spreadsheet data.  For instance, one could save the spreadsheet as a .csv file.  In our case, the customer provided a spreadsheet file containing multiple sheets where each sheet provided data for a different sample account.  To handle this easily, we took advantage of the RODBC package which allowed us to read the Excel data sheet-by-sheet without having to create individual .csv files.  We wrote ourselves a little helper function called getsheet() around the RODBC package.  Then we loaded all of the sample accounts into a data.frame called SimpleMWRRData. Writing the IRR function At this point, it was time to write the money weighted rate of return (MWRR) function itself.  The definition of MWRR is easily found on the internet or if you are old school you can look in an investment performance text book.  In the customer proof, we based our calculations off the ones defined in the The Handbook of Investment Performance: A User’s Guide by David Spaulding since this is the reference book used by the customer.  (One of the nice things we found during the course of this proof-of-concept is that by using R to write our IRR functions we could easily incorporate the specific variations and business rules of the customer into the calculation.) The key thing with calculating IRR is the need to solve a complex equation with a numerical approximation technique.  For IRR, you need to find the value of the rate of return (r) that sets the Net Present Value of all the flows in and out of the account to zero.  With R, we solve this by defining our NPV function: where bmv is the beginning market value, cf is a vector of cash flows, t is a vector of time (relative to the beginning), emv is the ending market value, and tend is the ending time. Since solving for r is a one-dimensional optimization problem, we decided to take advantage of R’s optimize method (http://stat.ethz.ch/R-manual/R-patched/library/stats/html/optimize.html). The optimize method can be used to find a minimum or maximum; to find the value of r where our npv function is closest to zero, we wrapped our npv function inside the abs function and asked optimize to find the minimum.  Here is an example of using optimize: where low and high are scalars that indicate the range to search for an answer.   To test this out, we need to set values for bmv, cf, t, emv, tend, low, and high.  We will set low and high to some reasonable defaults. For example, this account had a negative 2.2% money weighted rate of return. Enhancing and Packaging the IRR function With numerical approximation methods like optimize, sometimes you will not be able to find an answer with your initial set of inputs.  To account for this, our approach was to first try to find an answer for r within a narrow range, then if we did not find an answer, try calling optimize() again with a broader range.  See the R help page on optimize()  for more details about the search range and its algorithm. At this point, we can now write a simplified version of our MWRR function.  (Our real-world version is  more sophisticated in that it calculates rate of returns for 5 different time periods [since inception, last quarter, year-to-date, last year, year before last year] in a single invocation.  In our actual customer proof, we also defined time-weighted rate of return calculations.  The beauty of R is that it was very easy to add these enhancements and additional calculations to our IRR package.)To simplify code deployment, we then created a new package of our IRR functions and sample data.  For this blog post, we only need to include our SimpleMWRR function and our SimpleMWRRData sample data.  We created the shell of the package by calling: To turn this package skeleton into something usable, at a minimum you need to edit the SimpleMWRR.Rd and SimpleMWRRData.Rd files in the \man subdirectory.  In those files, you need to at least provide a value for the “title” section. Once that is done, you can change directory to the IRR directory and type at the command-line: The myIRR package for this blog post (which has both SimpleMWRR source and SimpleMWRRData sample data) is downloadable from here: myIRR package Testing the myIRR package Here is an example of testing our IRR function once it was converted to an installable package: Calculating IRR for All the Accounts So far, we have shown how to calculate IRR for a single account.  The real-world issue is how do you calculate IRR for all of the accounts?This is the kind of situation where we can leverage the “Split-Apply-Combine” approach (see http://www.cscs.umich.edu/~crshalizi/weblog/815.html).  Given that our sample data can fit in memory, one easy approach is to use R’s “by” function.  (Other approaches to Split-Apply-Combine such as plyr can also be used.  See http://4dpiecharts.com/2011/12/16/a-quick-primer-on-split-apply-combine-problems/). Here is an example showing the use of “by” to calculate the money weighted rate of return for each account in our sample data set.  Recap and Next Steps At this point, you’ve seen the power of R being used to calculate IRR.  There were several good things: R could easily work with the spreadsheets of sample data we were given R’s optimize() function provided a nice way to solve for IRR- it was both fast and allowed us to avoid having to code our own iterative approximation algorithm R was a convenient language to express the customer-specific variations, business-rules, and exceptions that often occur in real-world calculations- these could be easily added to our IRR functions The Split-Apply-Combine technique can be used to perform calculations of IRR for multiple accounts at once. However, there are several challenges yet to be conquered at this point in our story: The actual data that needs to be used lives in a database, not in a spreadsheet The actual data is much, much bigger- too big to fit into the normal R memory space and too big to want to move across the network The overall process needs to run fast- much faster than a single processor The actual data needs to be kept secured- another reason to not want to move it from the database and across the network And the process of calculating the IRR needs to be integrated together with other database ETL activities, so that IRR’s can be calculated as part of the data warehouse refresh processes In our next blog post in this series, we will show you how Oracle R Enterprise solved these challenges.

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  • Oracle Enterprise Manager Cloud Control 12c: Die Verwendung von Gruppen

    - by Ralf Durben (DBA Community)
    Mit Oracle Enterprise Manager Cloud Control 12c können Sie eine Vielzahl von Zielsystemen verwalten, sowohl was die Vielfältigkeit als auch die pure Anzahl betrifft. Eine große Anzahl von Zielsystemen wirft die Frage auf, wie diese Menge effizient verwaltet werden kann. Dazu gehören die Kontrolle des Zugriffs, die möglichst automatische Einstellung des Monitorings und die Bildung von benutzerorientieren Sichten. Zu diesem Zweck gibt es das Konzept der Gruppen, in denen Zielsysteme (Targets) zusammengefasst werden können. In Oracle Enterprise Manager Cloud Control 12c gibt es drei verschiedene Typen von Gruppen, die im aktuellen Tipp erklärt und voneinander abgegrenzt werden.

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