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  • Partner Webcast – Oracle Exadata X3 Database In-Memory Machine - Next-Generation Technologies Update - 20 Dec 2012

    - by Thanos
    Oracle’s next-generation database machine, Oracle Exadata X3, combines massive memory and low-cost disks to deliver even faster performance and greater storage capabilities at the lowest cost, making it the ideal database platform for the varied and unpredictable workloads of cloud computing. Oracle Exadata is available in multiple configurations including a low-cost eighth-rack configuration, so you can start small and grow at your own pace. We have also introduced new migration services designed to streamline implementation thereby saving you time and money. If your IT department is expected to deliver business value—or even drive business growth—then you’ll want to join us for a live Webcast discussing how the new Oracle Exadata X3 can help you transform data management.  Agenda: Oracle Exadata Evolution Oracle Exadata X3 Database In-Memory Machine Hardware Update Software Update Exadata Unique Next Generation Technologies Getting on board Oracle Exadata Q&A Delivery Format This FREE online LIVE eSeminar will be delivered over the Web. Registrations received less than 24hours prior to start time may not receive confirmation to attend. Thursday, December 20th, 10am CET (9am GMT) Duration: 1 hour Register Now! For any questions please contact us at [email protected] Visit our ISV Migration Center blog Or Follow us @oracleimc to learn more on Oracle Technologies, upcoming partner webcasts and events. Existing content available YouTube - SlideShare - Oracle Mix.

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  • Materialized View does not import properly when importing on a second instance of a database

    - by marinus
    When I import a database with materialized view mv_mt in just one database (Oracle) everything is ok. create materialized view mv_mt refresh complete next trunc( sysdate ) + 1 as SELECT sysdate, media_type.* from media_type; But when I try to import the same database to a copy in another schema I get the following errors: IMP-00017: following statement failed with ORACLE error 1: "BEGIN DBMS_JOB.ISUBMIT(JOB=438,WHAT='dbms_refresh.refresh(''"ALEXANDRA"" "."MV_MT"'');',NEXT_DATE=TO_DATE('2012-07-02:14:22:36','YYYY-MM-DD:HH24:MI:" "SS'),INTERVAL='sysdate + 1 / 24 / 60 / 6 ',NO_PARSE=TRUE); END;" IMP-00003: ORACLE error 1 encountered ORA-00001: unique constraint (SYS.I_JOB_JOB) violated ORA-06512: at "SYS.DBMS_JOB", line 100 ORA-06512: at line 1 IMP-00017: following statement failed with ORACLE error 23421: "BEGIN dbms_refresh.make('"ALEXANDRA"."MV_MT"',list=null,next_date=null," "interval=null,implicit_destroy=TRUE,lax=FALSE,job=438,rollback_seg=NUL" "L,push_deferred_rpc=TRUE,refresh_after_errors=FALSE,purge_option = 1,par" "allelism = 0,heap_size = 0); END;" IMP-00003: ORACLE error 23421 encountered ORA-23421: job number 438 is not a job in the job queue ORA-06512: at "SYS.DBMS_SYS_ERROR", line 86 ORA-06512: at "SYS.DBMS_IJOB", line 793 ORA-06512: at "SYS.DBMS_REFRESH", line 86 ORA-06512: at "SYS.DBMS_REFRESH", line 62 ORA-06512: at line 1 IMP-00017: following statement failed with ORACLE error 23410: "BEGIN dbms_refresh.add(name='"ALEXANDRA"."MV_MT"',list='"ALEXANDRA"."MV" "_MT"',siteid=0,export_db='ORCL01'); END;" IMP-00003: ORACLE error 23410 encountered ORA-23410: materialized view "ALEXANDRA"."MV_MT" is already in a refresh group ORA-06512: at "SYS.DBMS_SYS_ERROR", line 95 ORA-06512: at "SYS.DBMS_IREFRESH", line 484 ORA-06512: at "SYS.DBMS_REFRESH", line 140 ORA-06512: at "SYS.DBMS_REFRESH", line 125 ORA-06512: at line 1 Anyone any ideas? Regards, Marinus

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  • Database Backup History From MSDB in a pivot table

    - by steveh99999
    I knocked up a nice little query to display backup history for each database in a pivot table format.I wanted to display the most recent full, differential, and transaction log backup for each database. Here's the SQL :-WITH backupCTE AS (SELECT name, recovery_model_desc, d AS 'Last Full Backup', i AS 'Last Differential Backup', l AS 'Last Tlog Backup' FROM ( SELECT db.name, db.recovery_model_desc,type, backup_finish_date FROM master.sys.databases db LEFT OUTER JOIN msdb.dbo.backupset a ON a.database_name = db.name WHERE db.state_desc = 'ONLINE' ) AS Sourcetable   PIVOT (MAX (backup_finish_date) FOR type IN (D,I,L) ) AS MostRecentBackup ) SELECT * FROM backupCTE Gives output such as this :-  With this query, I can then build up some straightforward queries to ensure backups are scheduled and running as expected -For example, the following logic can be used ;-  - WHERE [Last Full Backup] IS NULL) - ie database has never been backed up.. - WHERE [Last Tlog Backup] < DATEDIFF(mm,GETDATE(),-60) AND recovery_model_desc <> 'SIMPLE') - transction log not backed up in last 60 minutes. - WHERE [Last Full Backup] < DATEDIFF(dd,GETDATE(),-1) AND [Last Differential Backup] < [Last Full Backup]) -- no backup in last day.- WHERE [Last Differential Backup] < DATEDIFF(dd,GETDATE(),-1) AND [Last Full Backup] < DATEDIFF(dd,GETDATE(),-8) ) -- no differential backup in last day when last full backup is over 8 days old.   

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  • Customers Deploying Sun Oracle Database Machine

    - by kimberly.billings
    Philippine Savings Bank (PS Bank) recently deployed the Sun Oracle Database Machine to underpin its enterprise-wide analytics platform. Now, the response times for queries and requests that used to take from three hours to several days is completed in less than one minute with near real-time updates. Read the press release. EFU General Insurance also announced this week that they have deployed the Sun Oracle Database Machine. With Oracle, EFU will be able to open more sales channels via the Web and facilitate integration with other companies. As a result, more quality services can be offered to its customers via the Web because of the more agile and reliable IT infrastructure. In addition, a centralized IT environment will offer the EFU management a real time view of key information, enabling EFU to analyze business trends and make timely decisions. Read the press release. Let us know about your Sun Oracle Database deployment! var gaJsHost = (("https:" == document.location.protocol) ? "https://ssl." : "http://www."); document.write(unescape("%3Cscript src='" + gaJsHost + "google-analytics.com/ga.js' type='text/javascript'%3E%3C/script%3E")); try { var pageTracker = _gat._getTracker("UA-13185312-1"); pageTracker._trackPageview(); } catch(err) {}

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  • Database Driven Web Application, C# Front-End and F# Back-End meaning

    - by user1473053
    Hi I am an intern working with ASP.NET. My current task is to make a website which will incorporate some jquery viewing features. This project seems to me will be primarily dealing with reading data from a database and making graphs out of them. This will require me to make custom queries from whatever the client is looking at. I think it is going to be what this guy calls an Ad Hoc Query tool My plan for this is to make it a database-driven website. So I can utilize the jquery dynamic viewing capabilities. I stumbled upon the functional programming paradigm and found F#. I read that because of it's functional programming paradigm, it makes it a good language to do asynchronous functions. I read about how you can use this with LINQ to SQL and how easy it is to make queries without actually putting the query language in. I understand the concept of the MVC design pattern. But I don't understand what they mean about C# being the front-end and F# being the back-end. Can someone clarify this to me? Also what are your thoughts about doing this project in this way? Any comments and thoughts are greatly appreciated. I feel as if learning F# will be a great learning experience for me. My guess is that the F# back-end is like the part where it controls the calls to the database. F# is possibly the model part of the design pattern. And C# is the controller. So HTML, Javascript and Jquery stuff will be my View design pattern. Clarify please?

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  • What Pattern will solve this - fetching dependent record from database

    - by tunmise fasipe
    I have these classes class Match { int MatchID, int TeamID, //used to reference Team ... other fields } Note: Match actually have 2 teams which means 2 TeamID class Team { int TeamID, string TeamName } In my view I need to display List<Match> showing the TeamName. So I added another field class Match { int MatchID, int TeamID, //used to reference Team ... other fields string TeamName; } I can now do Match m = getMatch(id); m.TeamName = getTeamName(m.TeamId); //get name from database But for a List<Match>, getTeamName(TeamId) will go to the database to fetch TeamName for each TeamID. For a page of 10 Matches per page, that could be (10x2Teams)=20 trip to database. To avoid this, I had the idea of loading everything once, store it in memory and only lookup the TeamName in memory. This made me have a rethink that what if the records are 5000 or more. What pattern is used to solve this and how?

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  • Retrieving database column using JSON [migrated]

    - by arokia
    I have a database consist of 4 columns (id-symbol-name-contractnumber). All 4 columns with their data are being displayed on the user interface using JSON. There is a function which is responisble to add new column to the database e.g (countrycode). The coulmn is added successfully to the database BUT not able to show the new added coulmn in the user interface. Below is my code that is displaying the columns. Can you help me? table.php $(document).ready(function () { // prepare the data var theme = getDemoTheme(); var source = { datatype: "json", datafields: [ { name: 'id' }, { name: 'symbol' }, { name: 'name' }, { name: 'contractnumber' } ], url: 'data.php', filter: function() { // update the grid and send a request to the server. $("#jqxgrid").jqxGrid('updatebounddata', 'filter'); }, cache: false }; var dataAdapter = new $.jqx.dataAdapter(source); // initialize jqxGrid $("#jqxgrid").jqxGrid( { source: dataAdapter, width: 670, theme: theme, showfilterrow: true, filterable: true, columns: [ { text: 'id', datafield: 'id', width: 200 }, { text: 'symbol', datafield: 'symbol', width: 200 }, { text: 'name', datafield: 'name', width: 100 }, { text: 'contractnumber', filtertype: 'list', datafield: 'contractnumber' } ] }); }); data.php <?php #Include the db.php file include('db.php'); $query = "SELECT * FROM pricelist"; $result = mysql_query($query) or die("SQL Error 1: " . mysql_error()); $orders = array(); // get data and store in a json array while ($row = mysql_fetch_array($result, MYSQL_ASSOC)) { $pricelist[] = array( 'id' => $row['id'], 'symbol' => $row['symbol'], 'name' => $row['name'], 'contractnumber' => $row['contractnumber'] ); } echo json_encode($pricelist); ?>

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  • What is a Relational Database Management System (RDBMS)?

    A Relational Database Management System (RDBMS)  can also be called a traditional database that uses a Structured Query Language (SQL) to provide access to stored data while insuring the integrity of the data. The data is stored in a collection of tables that is defined by relationships between data items. In addition, data permitted to be joined in new relationships. Traditional databases primarily process data through transactions called transaction processing. Transaction processing is the methodology of grouping related business operations based predefined business events. An example of this can be seen when a person attempts to purchase an item from an online e-tailor. The business must execute specific operations for a related  business event. In this case, a business must store the following information: Customer Info, Order Info, Order Item Info, Customer Payment Data, Payment Results, and Current Order Status. Example: Pseudo SQL Operations needed for processing an online e-tailor sale. Insert Customer into Customers Insert New Order into Orders Insert Each New Order Item into OrderItems Insert Customer Payment Info into PaymentInfo Insert Payment Processing Result into PaymentDetails Update Customer for Current Order Status Common Relational Database Management System Microsoft SQL Server Microsoft Access Oracle MySQL DB2 It is important to note that no current RDBMS has fully implemented all of the Relational Principles. Common RDBMS Traits Volatile Data Supports Transaction Processing Optimized for Updates and Simple Queries 

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  • Project Showcase: SaaS Web Apps Hits a Home Run with New SCMS Database

    - by Webgui
    We love seeing projects from start to finish, and we’re happy to share the latest example with you. Who: SaaS Web Apps – they use Software as a Service to create web applications that look and feel like desktop applications. What: SaaS Web Apps needed to build a Sports Contract Management System (SCMS) for one of its customers, Premier Stinson Sports. Why: The SCMS database is used for collecting, analyzing and recording college coach and athletic directors’ employment and contract data. The Challenge: Premier Stinson Sports works with a number of partners, each with its own needs and unique requirements. For example, USA Today uses the system to provide cutting edge news analysis while The National Sports Law Institute of Marquette University Law School uses it to for the latest sports contract data and student analysis. In addition, the system needed to be secure due to the sensitivity of the data; it was essential that the user security and permissions be easily configurable. As always, performance was a key factor, especially with the intense reporting and analytical capabilities for this project. Because of this, most of the processing had to be done on a dedicated server but the project called for the richness and responsiveness of a desktop application. The Solution: To execute the project, SaaS Web Apps used APS.Net-based Visual WebGui from Gizmox, combined with SQL Server 2008 and SQL Reporting Services. This combination resulted in a quick deployment for SaaS Web Apps’ customers. The Result: The completed project gave each partner the scalability and availability of a web application with the performance and security of a desktop application. As an example, USA Today pulls data from this database to give readers the latest sports stats – Salary analysis of 2010 Football Bowl Subdivision Coaches. And here’s a screenshot of the database itself. Great work, SaaS Web Apps!

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  • EmblaCom Oy Maximizes Database Availability and Reduces Costs with MySQL Cluster

    - by Bertrand Matthelié
    Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Headquartered in Finland, EmblaCom Oy provides turnkey and cloud-hosted voice solutions to mobile operators around the globe. Since launching the original mobile private branch exchange (PBX) in 1998, the company has focused on helping its partners provide efficient voice communications to their key business customers. The company’s voice solutions are used by millions of subscribers, worldwide. EmblaCom Oy needed to replace several database engines with a standardized, scalable, development-friendly database solution to maximize availability and cut costs. The company chose MySQL Cluster Carrier Grade Edition, which has maximized accessibility to EmblaCom’s services for its clients and their hundreds of thousands of subscribers. The initiative has also reduced, by half, the cost of the database solution installation for customers, as well as lowered maintenance and customer service costs. Read the entire case study here.

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  • How to export SQL Server data from corrupted database (with disk write error)

    - by damitamit
    IT realised there was a disk write error on our production SQL Server 2005 and hence was causing the backups to fail. By the time they had realised this the nightly backup was old, so were not able to just restore the backup on another server. The database is still running and being used constantly. However DBCC CheckDB fails. Also the SQL Server backup task fails, Copy Database fails, Export Data Wizard fails. However it seems all the data can be read from the tables (i.e using bcp etc) Another observation I have made is that the Transaction Log is nearly double the size of the Database. (Does that mean all the changes arent being written to the MDF?) What would be the best plan of attack to get the database to a state where backups are working and the data is safe? Take the database offline and use the MDF/LDF to somehow create the database on another sql server? Export the data from the database using bcp. Create the database (use the Generate Scripts function on the corrupt db to create the schema on the new db) on another sql server and use bcp again to import the data. Some other option that is the right course of action in this situation? The IT manager says the data is safe as if the server fails, the data can be restored from the mdf/ldf. I'm not sure so insisted that we start exporting the data each night as a failsafe (using bcp for example). IT are also having issues on the hardware side of things as supposedly the disk error in on a virtualized disk and can't be rebuilt like a normal raid array (or something like that). Please excuse my use of incorrect terminology and incorrect assumptions on how Sql Server operates. I'm the application developer and have been called to help (as it seems IT know less about SQL Server than I do). Many Thanks, Amit

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  • Database cluster... without Master/Slave?

    - by RadiantHex
    Hi there! I'm wondering if it is possible to have a set of SQLdb servers to which data is written and have them replicate, avoiding conflicting information. I imagine that a Master/Slave structure would be mandatory, I would like to know if a system where servers have no hierarchy could support replication. Currently I'm using MySQL, but I would be happy to move to another database if needed. Any ideas? :)

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  • Oracle TimesTen In-Memory Database Performance on SPARC T4-2

    - by Brian
    The Oracle TimesTen In-Memory Database is optimized to run on Oracle's SPARC T4 processor platforms running Oracle Solaris 11 providing unsurpassed scalability, performance, upgradability, protection of investment and return on investment. The following demonstrate the value of combining Oracle TimesTen In-Memory Database with SPARC T4 servers and Oracle Solaris 11: On a Mobile Call Processing test, the 2-socket SPARC T4-2 server outperforms: Oracle's SPARC Enterprise M4000 server (4 x 2.66 GHz SPARC64 VII+) by 34%. Oracle's SPARC T3-4 (4 x 1.65 GHz SPARC T3) by 2.7x, or 5.4x per processor. Utilizing the TimesTen Performance Throughput Benchmark (TPTBM), the SPARC T4-2 server protects investments with: 2.1x the overall performance of a 4-socket SPARC Enterprise M4000 server in read-only mode and 1.5x the performance in update-only testing. This is 4.2x more performance per processor than the SPARC64 VII+ 2.66 GHz based system. 10x more performance per processor than the SPARC T2+ 1.4 GHz server. 1.6x better performance per processor than the SPARC T3 1.65 GHz based server. In replication testing, the two socket SPARC T4-2 server is over 3x faster than the performance of a four socket SPARC Enterprise T5440 server in both asynchronous replication environment and the highly available 2-Safe replication. This testing emphasizes parallel replication between systems. Performance Landscape Mobile Call Processing Test Performance System Processor Sockets/Cores/Threads Tps SPARC T4-2 SPARC T4, 2.85 GHz 2 16 128 218,400 M4000 SPARC64 VII+, 2.66 GHz 4 16 32 162,900 SPARC T3-4 SPARC T3, 1.65 GHz 4 64 512 80,400 TimesTen Performance Throughput Benchmark (TPTBM) Read-Only System Processor Sockets/Cores/Threads Tps SPARC T3-4 SPARC T3, 1.65 GHz 4 64 512 7.9M SPARC T4-2 SPARC T4, 2.85 GHz 2 16 128 6.5M M4000 SPARC64 VII+, 2.66 GHz 4 16 32 3.1M T5440 SPARC T2+, 1.4 GHz 4 32 256 3.1M TimesTen Performance Throughput Benchmark (TPTBM) Update-Only System Processor Sockets/Cores/Threads Tps SPARC T4-2 SPARC T4, 2.85 GHz 2 16 128 547,800 M4000 SPARC64 VII+, 2.66 GHz 4 16 32 363,800 SPARC T3-4 SPARC T3, 1.65 GHz 4 64 512 240,500 TimesTen Replication Tests System Processor Sockets/Cores/Threads Asynchronous 2-Safe SPARC T4-2 SPARC T4, 2.85 GHz 2 16 128 38,024 13,701 SPARC T5440 SPARC T2+, 1.4 GHz 4 32 256 11,621 4,615 Configuration Summary Hardware Configurations: SPARC T4-2 server 2 x SPARC T4 processors, 2.85 GHz 256 GB memory 1 x 8 Gbs FC Qlogic HBA 1 x 6 Gbs SAS HBA 4 x 300 GB internal disks Sun Storage F5100 Flash Array (40 x 24 GB flash modules) 1 x Sun Fire X4275 server configured as COMSTAR head SPARC T3-4 server 4 x SPARC T3 processors, 1.6 GHz 512 GB memory 1 x 8 Gbs FC Qlogic HBA 8 x 146 GB internal disks 1 x Sun Fire X4275 server configured as COMSTAR head SPARC Enterprise M4000 server 4 x SPARC64 VII+ processors, 2.66 GHz 128 GB memory 1 x 8 Gbs FC Qlogic HBA 1 x 6 Gbs SAS HBA 2 x 146 GB internal disks Sun Storage F5100 Flash Array (40 x 24 GB flash modules) 1 x Sun Fire X4275 server configured as COMSTAR head Software Configuration: Oracle Solaris 11 11/11 Oracle TimesTen 11.2.2.4 Benchmark Descriptions TimesTen Performance Throughput BenchMark (TPTBM) is shipped with TimesTen and measures the total throughput of the system. The workload can test read-only, update-only, delete and insert operations as required. Mobile Call Processing is a customer-based workload for processing calls made by mobile phone subscribers. The workload has a mixture of read-only, update, and insert-only transactions. The peak throughput performance is measured from multiple concurrent processes executing the transactions until a peak performance is reached via saturation of the available resources. Parallel Replication tests using both asynchronous and 2-Safe replication methods. For asynchronous replication, transactions are processed in batches to maximize the throughput capabilities of the replication server and network. In 2-Safe replication, also known as no data-loss or high availability, transactions are replicated between servers immediately emphasizing low latency. For both environments, performance is measured in the number of parallel replication servers and the maximum transactions-per-second for all concurrent processes. See Also SPARC T4-2 Server oracle.com OTN Oracle TimesTen In-Memory Database oracle.com OTN Oracle Solaris oracle.com OTN Oracle Database 11g Release 2 Enterprise Edition oracle.com OTN Disclosure Statement Copyright 2012, Oracle and/or its affiliates. All rights reserved. Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners. Results as of 1 October 2012.

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  • How do I rename the Tfs_xxxConfiguration database for TFS 2010?

    - by Jaxidian
    When we installed TFS 2010, we made some poor decisions in naming our databases. I have figured out how to rename everything except for the Tfs_xxxConfiguration database. How can I get this renamed? I can only find a read-only display of the connection string to it - cannot find where to alter that connection string either directly or indirectly. I'd really prefer to not have to rebuild it from scratch... again... Thanks!

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  • Partitioning tutorial - new features in Oracle Database 12c

    - by KLaker
    For data warehousing projects Oracle Partitioning really is a must-have feature because it delivers so many important benefits such as: Dramatically improves query performance and speeds up database maintenance operations Lowers costs by enabling a tiered storage approach that allows data to be stored on the most cost-effective storage for better resource utilisation Combined with Oracle Advanced Compression, it provides an automated approach to information lifecycle management using a simple, efficient, yet powerful way to manage data growth and reduce complexity and costs To help you get the most from partitioning we have released a new tutorial that covers the 12c new features. Topics include how to: Use Interval Reference Partitioning Perform Cascading TRUNCATE and EXCHANGE Operations Move Partitions Online Maintain Multiple Partitions Maintain Global Indexes Asynchronously Use Partial Indexes For more information about this tutorial follow this link to the Oracle Learning Library: http://apex.oracle.com/pls/apex/f?p=44785:24:0::NO:24:P24_CONTENT_ID,P24_PREV_PAGE:8408,2 where you can begin your tutorial right now! For more information about Oracle Partitioning visit our home page on OTN: http://www.oracle.com/technetwork/database/bi-datawarehousing/dbbi-tech-info-part-100980.html

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  • open source database project

    - by Jeff V
    What is the best way to build an open source database? I would like to build a database of all vehicles and the related maintenance information (i.e Oil Weight, Quantity, Tire Pressure, Windshield wipers etc). Currently this information is fragmented or just not put on line in an open way. Once collection began I would want to import into a DB and then be able to distribute freely. Is there a process (site or group) that I can start gathering this information in a reliable and verifiable way? Is there any issues that I should watch out for?

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  • how many tables can an MS SQL database hold?

    - by Peter Turner
    I've ran into this cryptic statement for SQL Server: Files Per Database 32,767. What does that mean exactly? Is there a maximum number of tables for a given version of SQL Server. We try to support SQL Server post 2005 32-bit and 64-bit. So if anyone has a handy dandy table they use to figure out how many tables they can have per DB for Microsoft SQL Servers I'd heartily appreciate seeing it.

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  • Online DATAFILE MOVE in Oracle Database 12c

    - by Ulrike Schwinn (DBA Community)
    Einige Operationen im Datenbankumfeld können nicht nur offline sondern auch online durchgeführt werden. Ein wichtiges Kennzeichen einer Online Operation ist dabei, dass Abfragen und DML Operationen während des Ablaufs der Operation (beispielsweise einer Reorganisation) ohne Unterbrechung weiter laufen können. Je nach einplanbarer Maintenance Zeit ist es daher durchaus wünschenswert, gewisse Operationen online durchzuführen. Generell gibt es in jedem Datenbankrelease einige Erweiterungen im Umfeld von Online Operationen. Besonders im aktuellen Release 12c gibt es eine Vielzahl neuer Operationen zu diesem Thema.Während der ersten 12c Veranstaltungen fand besonders das Kommando "DATAFILE ONLINE MOVE" besondere Aufmerksamkeit bei vielen Kunden. Aus diesem Grund wird im aktuellen Tipp dazu eine kleine Einführung gegeben.  Mehr dazu erfahren Sie hier. 

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  • How can I synchronize one set of data with another?

    - by RenderIn
    I have an old database and a new database. The old records were converted to the new database recently. All our old applications continue to point to the old database, but the new applications point to the new database. Currently the old database is the only one being updated, so throughout the day the new database becomes out of sync. It is acceptable for the new database to be out of sync for a day, so until all our applications are pointed to the new database I just need to write a nightly cron job that will bring it up to date. I do not want to purge the new database and run the complete conversion script each night, as that would reduce uptime and would create a mess in our auditing of that table. I'm thinking about selecting all the data from the old database, converting it to the new database structure in memory, and then checking for the existence of each record before inserting it in the new database. After that's done, I'd select everything from the new database and check if it exists in the old one, and if not delete it. Is this the simplest way to do this?

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  • SQL restore from single file db to filegroup

    - by Mauro
    I have a 180GB MOSS 2007 database whose maintenance (i.e. backups and restores) are becoming a problem. Part of the issue can be resolved by splitting the three content sites down into their own site collections, however this will likely still leave me with a 100gb DB to deal with. Whilst this isnt entirely problematic for SQL it does mean that backups / restores take far too long. my idea is to split each of the databases to 30gb files, then to import the content into them which should distribute the content across the file groups,making it much easier / faster to backup/restore. Is there a way to backup from a single file and restore to a filegroup? If i have the wrong understanding of filegroups then I'm more than happy to find out other methods of managing the size of databases.

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