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  • Actually utilizing relational databases for entity systems

    - by Marc Müller
    Recently I was researching several entity systems and obviously I came across T=Machine's fantastic articles on the subject. In Part 5 of the series the author uses a relational schema to explain how an entity system is built and works. Since reading this, I have been wondering whether or not actually using a compact SQL library would be fast enough for real-time usage in video games. Performance seems to be the main issue with a full blown SQL database for management of all entities and components. However, as mentioned in T=Machine's post, basically all access to data inside the SQLDB is done sequentlially by each system over each component. Additionally, using a library like SQLite, one could easily improve performance by storing the entity data exclusively in RAM to increase access speeds. Disregarding possible performance issues, using a SQL database, in my opinion, would allow for a very intuitive implementation of entity systems and bring a long certain other benefits like easy de/serialization of game states and consistency checks like the uniqueness of entity IDs. Edit for clarification: The main question was whether using a SQL database for the actual entity management (not just storing the game state on the disk) in a real-time game would still yield a framerate appropriate for a game or even if someone is aware of projects that demonstrate SQL in a video game.

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  • Bahnbrechend und einsatzbereit: Oracle 12c In-Memory-Option Launch in Frankfurt

    - by Anne Manke
    Seit der Ankündigung der Oracle 12c In-Memory-Databankoption in San Francisco auf der Openworld im letzten Jahr, ist die DB Community gespannt, was diese bahnbrechende Technologie für Ad-hoc-Echtzeitanalysen von Live-Transaktionen, Data Warehousing, Reporting und Online Transaction Processing (OLTP) bringen wird. Die Messlatte liegt hoch, denn Larry Ellison verspricht mit der neuen 12c In-Memory-Option eine 100-fach schnellerer Verarbeitung von Abfragen bei Echtzeitanalysen für OLTP Prozesse oder Datawarehouses eine Verdoppelung der Transaktionsverarbeitung eine 100%ige Kompatibilität zu bestehenden Anwendungen Daten werden im Zeilenformat und Spaltenformat (In-Memory) abgelegt, und sind dabei aktiv und konsitstent Cloud-ready ohne Datamigration eine Ausweitung der In-Memory-basierten Abfrageprozesse auf mehrere Server    Um nur einige Features zu nennen >> mehr Infos finden Sie hier! Abfragen werden mit der neuen 12c In-Memory-Datenbankoption schneller bearbeitet, als die Anfrage gestellt werden kann, so Larry Ellison. Am 17. Juni 2014 wird die 12c In-Memory auf einer exklusiven Launch-Veranstaltung in Frankfurt am Main vorgestellt. Auf der Agenda stehen Vorträge, Diskussionen und eine LiveDemo der In-Memory-Datenbankoption.  Melden Sie sich jetzt an! Ort & Zeit: 17. Juni 2014, 9:30 - 15:15 Uhr in Radisson Blu Hotel (Franklinstrasse 65, 60486 Frankfurt am Main) Agenda 9:30 Registrierung 10:00 Begrüßung Guenther Stuerner, Vice President Sales Consulting, Oracle Deutschland (in deutscher Sprache) 10:15 Analystenvortrag Carl W. Olofson, Research Vice President, IDC (in englischer Sprache) 10:35 Keynote Andy Mendelsohn, Head of Database Development, Oracle (in englischer Sprache) 11:35 Podiumsdiskussion (in englischer Sprache): · Jens-Christian Pokolm, Postbank Systems AG · Andy Mendelsohn, Head of Database Development, Oracle · Carl W. Olofson, Research Vice President, IDC · Dr. Dietmar Neugebauer, Vorstandsvorsitzender, DOAG 12:30 Mittagessen 13:45 Oracle Database In Memory Option    Perform – Manage – Live Demo Ralf Durben, Senior Leitender Systemberater, Oracle Deutschland (in deutscher Sprache) 14:30 In Memory – Revolution for your DWH – Real Time Datawarehouse – Mixed Workloads – Live Demo – Live Data Query Alfred Schlaucher, Senior Leitender Systemberater, Oracle Deutschland (in deutscher Sprache) 15:15 Schlusswort & Networking

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  • Oracle????????????FAQ

    - by Yusuke.Yamamoto
    ??? 1.??????????? ????????????????????????????????????????????? ????? Oracle Database ?SQL????????????????????? 2.?????????????????????? ??????????????????????????????????????? ????????????????????????????? ???:????????????? ???:??????NULL???????? ????:???·????????????????? ??????:CPU????????????I/O??????????? 3.???????????????????????? ????? Oracle Database ???????????????????????????????? ????????????????????????????????????????????????? ??? 4.????????????????????????????????????????? SYS????????????????·????????????????? ????????????????????????? ?????? ? DBA_TABLES ??????? ? DBA_INDEXES ?????? ? DBA_TAB_COLUMNS 5.?????????????????????????????????? ??????????????????????? ??????:Oracle Database ???????????????????????????????????????????????????????? ??????:?????????????????????????????????????? ????????:SQL????????????????????????????????????????????????????????????????? 6.?????????????????????????????????????????????????????? SYS????????????????·????????????????? ???????????????·?????"LAST_ANALYZED"??????????????????????????????????????????? 7.?????SQL?????????????????????SQL?????????????????????????????????? DBMS_STATS ????????????????????????????????????????? ?)??????????????? EXECUTE DBMS_STATS.GATHER_TABLE_STATS('SCOTT','EMP'); ?)?????????????????? EXECUTE DBMS_STATS.GATHER_SCHEMA_STATS('SCOTT'); 8.???????????????????????????????????????????????????????????????????????????????????? ??????????????????????????????????????????? ??????:??????????????????????????????????? ??????:?????????????????????????????????? ????????:????????SQL???????????CPU??????? ???? ?????????????????????? ????????? Part1 ???????????????????·??????|??????????? "

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  • High Performance SQL Views Using WITH(NOLOCK)

    - by gt0084e1
    Every now and then you find a simple way to make everything much faster. We often find customers creating data warehouses or OLAP cubes even though they have a relatively small amount of data (a few gigs) compared to their server memory. If you have more server memory than the size of your database or working set, nearly any aggregate query should run in a second or less. In some situations there may be high traffic on from the transactional application and SQL server may wait for several other queries to run before giving you your results. The purpose of this is make sure you don’t get two versions of the truth. In an ATM system, you want to give the bank balance after the withdrawal, not before or you may get a very unhappy customer. So by default databases are rightly very conservative about this kind of thing. Unfortunately this split-second precision comes at a cost. The performance of the query may not be acceptable by today’s standards because the database has to maintain locks on the server. Fortunately, SQL Server gives you a simple way to ask for the current version of the data without the pending transactions. To better facilitate reporting, you can create a view that includes these directives. CREATE VIEW CategoriesAndProducts AS SELECT * FROM dbo.Categories WITH(NOLOCK) INNER JOIN dbo.Products WITH(NOLOCK) ON dbo.Categories.CategoryID = dbo.Products.CategoryID In some cases quires that are taking minutes end up taking seconds. Much easier than moving the data to a separate database and it’s still pretty much real time give or take a few milliseconds. You’ve been warned not to use this for bank balances though. More from Data Stream

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  • More on Oracle OpenWorld 2012

    - by Maria Colgan
    With only two weeks to go until Oracle OpenWorld, it is time to start planning your schedule. Every year folks ask me what Optimizer related sessions they should go and see at OpenWorld. Below are my top two picks for each day of the conference, to get your schedule started. Sunday, September 30th at 9am Beginning performance tuning Session UGF 3320 in Moscone West, room 2022 Sunday September 30th at 12:30pm Ten Surprising Performance Tactics Session UGF10426 in Moscone West, room 2016 Monday October 1st at 12:15pm The Evolution of Histograms in Oracle Database Session CON2803 in Moscone south, room 302 Monday October 1st at 1:45pm A Day in the Life of a Real-World Performance Engineer Session CON8404 in Moscone south, room 303 Tuesday October 2nd at 11:45am Oracle Partitioning: It’s Getting Even Better Session CON8321 in Moscone South, room 101 Tuesday October 2nd at 1:15pm Oracle Optimizer: Harnessing the Power of Optimizer Hints  Session CON8455 in Moscone South, room 103 Wednesday October 3rd at 3:30pm SQL Plan Stability: Post 11g Upgrade—Verizon Wireless’ Experience Session CON4485 in Moscone South, room 302 Wednesday October 3rd at 5pm Five SQL and PL/SQL Things in the Latest Generation of Database Technology Session CON8432 Moscone South, room 103 Thursday, October 4th at 11:15pm How the Query Optimizer Learns from Its Mistakes  Session CON3330 in Moscone west, room 3016 Thursday, October 4th at 12:45pm Oracle Optimizer: An Insider’s View of How the Optimizer Works Session CON8457 in Moscone South, room 104 Don't forget to pickup an Optimizer bumper sticker at the Optimizer demo booth. This year we are located in booth 3157, in the Database area of the demogrounds, in Moscone South. Members of the Optimizer development team will be there Monday through Wednesday from 9:45 am until 6pm.

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  • Updating password hashing without forcing a new password for existing users

    - by Willem
    You maintain an existing application with an established user base. Over time it is decided that the current password hashing technique is outdated and needs to be upgraded. Furthermore, for UX reasons, you don't want existing users to be forced to update their password. The whole password hashing update needs to happen behind the screen. Assume a 'simplistic' database model for users that contains: ID Email Password How does one go around to solving such a requirement? My current thoughts are: create a new hashing method in the appropriate class update the user table in the database to hold an additional password field Once a user successfully logs in using the outdated password hash, fill the second password field with the updated hash This leaves me with the problem that I cannot reasonable differentiate between users who have and those who have not updated their password hash and thus will be forced to check both. This seems horribly flawed. Furthermore this basically means that the old hashing technique could be forced to stay indefinitely until every single user has updated their password. Only at that moment could I start removing the old hashing check and remove the superfluous database field. I'm mainly looking for some design tips here, since my current 'solution' is dirty, incomplete and what not, but if actual code is required to describe a possible solution, feel free to use any language.

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  • Decorator not calling the decorated instance - alternative design needed

    - by Daniel Hilgarth
    Assume I have a simple interface for translating text (sample code in C#): public interface ITranslationService { string GetTranslation(string key, CultureInfo targetLanguage); // some other methods... } A first simple implementation of this interface already exists and simply goes to the database for every method call. Assuming a UI that is being translated at start up this results in one database call per control. To improve this, I want to add the following behavior: As soon as a request for one language comes in, fetch all translations from this language and cache them. All translation requests are served from the cache. I thought about implementing this new behavior as a decorator, because all other methods of that interface implemented by the decorater would simple delegate to the decorated instance. However, the implementation of GetTranslation wouldn't use GetTranslation of the decorated instance at all to get all translations of a certain language. It would fire its own query against the database. This breaks the decorator pattern, because every functionality provided by the decorated instance is simply skipped. This becomes a real problem if there are other decorators involved. My understanding is that a Decorator should be additive. In this case however, the decorator is replacing the behavior of the decorated instance. I can't really think of a nice solution for this - how would you solve it? Everything is allowed, even a complete re-design of ITranslationService itself.

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  • EclipseLink does multitenancy. Today.

    - by alexismp
    So you heard Java EE 7 will be about the cloud, but that didn't mean a whole lot to you. Then it was characterized as PaaS, something in between IaaS and SaaS. And finally it all became clear when referenced as support for multitenancy. Or did it? When it comes to JPA and persistence is general, multitenancy is defined as the ability to share a database schema among various groups of users (i.e. tenants). This means that there is no database setup or reconfiguration required as the data is co-located in the same database. EclipseLink 2.3 (the Indigo train release) let's you do just that by supporting tenant discriminator column(s) via annotations or XML with applications providing values for these discriminators via an API or PU configuration. Check out details here. EclipseLink 2.3 is scheduled to be the default and supported JPA provider for GlassFish 3.1.1. Another nice feature of this release is the ability to extend persistence units on the fly. The GlassFish Podcast has an interview up with EclipseLink's Doug Clarke. Expect more on multitenancy across the Java EE spectrum as the specification work progressed.

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  • Perfomance of 8 bit operations on 64 bit architechture

    - by wobbily_col
    I am usually a Python / Database programmer, and I am considering using C for a problem. I have a set of sequences, 8 characters long with 4 possible characters. My problem involves combining sets of these sequences and filtering which sets match a criteria. The combinations of 5 run into billions of rows and takes around an hour to run. So I can represent each sequence as 2 bytes. If I am working on a 64 bit architechture will I gain any advantage by keeping these data structures as 2 bytes when I generate the combinations, or will I be as well storing them as 8 bytes / double ? (64 bit = 8 x 8) If I am on a 64 bit architecture, all registers will be 64 bit, so in terms of operations that shouldn´t be any faster (please correct me if I am wrong). Will I gain anything from the smaller storage requirements - can I fit more combinations in memory, or will they all take up 64 bits anyway? And finally, am I likley to gain anything coding in C. I have a first version, which stores the sequence as a small int in a MySQL database. It then self joins the tabe to itself a number of times in order to generate all the possible combinations. The performance is acceptable, depending on how many combinations are generated. I assume the database must involve some overhead.

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  • Entity Framework and distributed Systems

    - by Dirk Beckmann
    I need some help or maybe only a hint for the right direction. I've got a system that is sperated into two applications. An existing VB.NET desktop client using Entity Framework 5 with code first approach and a asp.net Web Api client in C# that will be refactored right yet. It should be possible to deliver OData. The system and the datamodel is still involving and so migrations will happen in undefined intervalls. So I'm now struggling how to manage my database access on the web api system. So my favourd approch would be us Entity Framework on both systems but I'm running into trouble while creating new migrations. Two solutions I've thought about: Shared Data Access dll The first idea was to separate the data access layer to a seperate project an reference from each of the systems. The context would be the same as long as the dll is up to date in each system. This way both soulutions would be able to make a migration. The main problem ist that it is much more complicate to update a web api system than it is with the client Click Once Update Solution and not every migration is important for the web api. This would couse more update trouble and out of sync libraries Database First on Web Api The second idea was just to use the database first approch an on web api side. But it seems that all annotations will be lost by each model update. Other solutions with stored procedures have been discarded because of missing OData support and maintainability. Does anyone run into same conflicts or has any advices how such a problem can be solved!

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  • Hidden Gems: Accelerating Oracle Data Integrator with SOA, Groovy, SDK, and XML

    - by Alex Kotopoulis
    On the last day of Oracle OpenWorld, we had a final advanced session on getting the most out of Oracle Data Integrator through the use of various advanced techniques. The primary way to improve your ODI processes is to choose the optimal knowledge modules for your load and take advantage of the optimized tools of your database, such as OracleDataPump and similar mechanisms in other databases. Knowledge modules also allow you to customize tasks, allowing you to codify best practices that are consistently applied by all integration developers. ODI SDK is another very powerful means to automate and speed up your integration development process. This allows you to automate Life Cycle Management, code comparison, repetitive code generation and change of your integration projects. The SDK is easily accessible through Java or scripting languages such as Groovy and Jython. Finally, all Oracle Data Integration products provide services that can be integrated into a larger Service Oriented Architecture. This moved data integration from an isolated environment into an agile part of a larger business process environment. All Oracle data integration products can play a part in thisracle GoldenGate can integrate into business event streams by processing JMS queues or publishing new events based on database transactions. Oracle GoldenGate can integrate into business event streams by processing JMS queues or publishing new events based on database transactions. Oracle Data Integrator allows full control of its runtime sessions through web services, so that integration jobs can become part of business processes. Oracle Data Service Integrator provides a data virtualization layer over your distributed sources, allowing unified reading and updating for heterogeneous data without replicating and moving data. Oracle Enterprise Data Quality provides data quality services to cleanse and deduplicate your records through web services.

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  • ArchBeat Link-o-Rama for 2012-09-12

    - by Bob Rhubart
    15 Lessons from 15 Years as a Software Architect | Ingo Rammer In this presentation from the GOTO Conference in Copenhagen, Ingo Rammer shares 15 tips regarding people, complexity and technology that he learned doing software architecture for 15 years. Adding a runtime picker to a taskflow parameter in WebCenter | Yannick Ongena Oracle ACE Yannick Ongena shows how to create an Oracle WebCenter popup to allow users to "select items or do more complex things." Oracle Identity Manager 11g R2 Catalog | Daniel Gralewski Oracle Fusion Middleware A-Team blogger Daniel Gralewski shares a detailed overview of the new Catalog feature, one of the most talked about features in the latest release of Oracle Identity Manager 11g. Cloud API and service designers, stop thinking small | Cloud Computing - InfoWorld "The focus must shift away from fine-grained APIs that provide some type of primitive service, such as pushing data to a block of storage or perhaps making a request to a cloud-rooted database," says InfoWorld's David Linthicum. "To go beyond primitives, you must understand how these services should be used in a much larger architectural context. In other words, you need to understand how businesses will employ these services to form real workplace solutions -- inside and outside the enterprise." Oracle Solaris 8 P2V with Oracle database 10.2 and ASM | Orgad Kimchi Orgad Kimchi's technical post illustrates the migration of "a Solaris 8 physical system, with Oracle database version 10.2.0.5 with ASM file-system located on a SAN storage, into a Solaris 8 branded zone inside a Solaris 10 guest domain on top of a Solaris 11 control domain." Thought for the Day "The hardest single part of building a software system is deciding precisely what to build. " — Fred Brooks Source: SoftwareQuotes.com

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  • Client-Server MMOG & data structures sync when joining / playing

    - by plang
    After reading a few articles on MMOG architecture, there is still one point on which I cannot find much information: it has to do with how you keep in sync server data on the client, when you join, and while you play. A pretty vague question, I agree. Let me refine it: Let's say we have an MMOG virtual world subdivided into geographical cells. A player in a cell is mostly interested in what happens in the cell itself, and all the surrounding cells, not more. When joining the game for the first time, the only thing we can do is send some sort of "database dump" of the interesting cells to the client. When playing, I guess it would be very inefficient to do the same thing regularly. I imagine the best thing to do is to send "deltas" to the client, which would allow keeping the local database in sync. Now let's say the player moves, and arrives in another cell. Surrounding cells change, and for all the new cells the player subscribes, the same technique as used when joining the game has to be used: some sort of "database dump". This mechanic of joining/moving in a cell-based MMOG virtual world interests me, and I was wondering if there were tried and tested techniques in this domain. Thanks!

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  • PostgreSQL, Ubuntu, NetBeans IDE (Part 1)

    - by Geertjan
    While setting up PostgreSQL from scratch, with the aim to use it in NetBeans IDE, I found the following resources helpful: http://railskey.wordpress.com/2012/05/19/postgresql-installation-in-ubuntu-12-04/ http://ohdevon.wordpress.com/2011/09/17/postgresql-to-netbeans-1/ http://ohdevon.wordpress.com/2011/09/19/postgresql-to-netbeans-2/ For quite a while I had problems relating to  "/var/run/postgresql/.s.PGSQL.5432", which had something to do with "postmaster.pid", which I somehow solved via a link I can't find anymore, and which may not have been a problem to begin with. A key moment was this one, which was useful for setting the password of a new user I'd created: http://stackoverflow.com/questions/7695962/postgresql-password-authentication-failed-for-user-postgres This was useful for setting up a table in my database, which I did by pasting in the below into NetBeans after I made the connection there: http://use-the-index-luke.com/sql/example-schema/postgresql/where-clause Now I have a database set up with all permissions everywhere (which turned out to be the hard part) correct: The next step will be to create a NetBeans Platform application based on this database. I'm assuming it shouldn't be any different to what's described in the NetBeans Platform CRUD Tutorial.

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  • Is a "model" branch a common practice?

    - by dukeofgaming
    I just thought it could be a good thing to have a dedicated version control branch for all database schema changes and I wanted to know if anyone else is doing the same and what have the results been. Say that you are working with: Schema model/documentation (some file where you model the database visually to generate the schema source, say MySQL Workbench, with a .mwb file, which is binary) Schema source (a .sql file) Schema-based code generation The normal way we were working was with feature branches, so we would do changes to the model files (the database specific ones), and then have to regenerate points 2 and 3, dealing with the possible conflicts (or even code rewriting). Now say that your workflow goes the same way as the previous item numbering. With a model branch you wouldn't have to reconcile the schema model with binaries in other feature branches, or have to regenerate schema source and regenerate code (which might have human code on top of it). It makes so much sense to me it feels weird not having seen this earlier as a common practice. Edit: I'm counting on branch merges to be the assertions for the model matching the code. I use a DVCS, so I don't fear long-lived branches or scary-looking merges. I'm also doing feature branching.

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  • Update to SQL Server Configuration Scripting Utility

    - by Bill Graziano
    Last spring I released a utility to script SQL Server configuration information on CodePlex.  I’ve been making small changes in this application as my needs have changed.  The application is a .NET 2.0 console application.  This utility serves two needs for me.  First it helps with disaster recovery.  All server level objects (logins, jobs, linked servers, audits) are scripted to a single file per object type.  This enables the scripts to be easily run against a DR server.  If these are checked into source control you can view the history of the script and find out what changed and when. The second goal is to capture what changed inside a database.  Objects inside a database (tables, stored procedures, views, etc.) are each scripted to their own file.  This makes it easier to track the changes to an object over time.  This does include permissions and role membership so you can capture security changes.  My assumption is that a database backup is the primary method of disaster recovery for databases so this utility is designed to capture changes to objects.  You can find the full list of changes from the original on the Downloads page on CodePlex.

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  • Displaying a Paged Grid of Data in ASP.NET MVC

    This article demonstrates how to display a paged grid of data in an ASP.NET MVC application and builds upon the work done in two earlier articles: Displaying a Grid of Data in ASP.NET MVC and Sorting a Grid of Data in ASP.NET MVC. Displaying a Grid of Data in ASP.NET MVC started with creating a new ASP.NET MVC application in Visual Studio, then added the Northwind database to the project and showed how to use Microsoft's Linq-to-SQL tool to access data from the database. The article then looked at creating a Controller and View for displaying a list of product information (the Model). Sorting a Grid of Data in ASP.NET MVC enhanced the application by adding a view-specific Model (ProductGridModel) that provided the View with the sorted collection of products to display along with sort-related information, such as the name of the database column the products were sorted by and whether the products were sorted in ascending or descending order. The Sorting a Grid of Data in ASP.NET MVC article also walked through creating a partial view to render the grid's header row so that each column header was a link that, when clicked, sorted the grid by that column. In this article we enhance the view-specific Model (ProductGridModel) to include paging-related information to include the current page being viewed, how many records to show per page, and how many total records are being paged through. Next, we create an action in the Controller that efficiently retrieves the appropriate subset of records to display and then complete the exercise by building a View that displays the subset of records and includes a paging interface that allows the user to step to the next or previous page, or to jump to a particular page number, we create and use a partial view that displays a numeric paging interface Like with its predecessors, this article offers step-by-step instructions and includes a complete, working demo available for download at the end of the article. Read on to learn more! Read More >

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  • FILESTREAM in SQL Server 2008 R2

    - by CatherineRussell
    Much data is unstructured, such as text documents, images, and videos. This unstructured data is often stored outside the database, separate from its structured data. This separation can cause data management complexities. Or, if the data is associated with structured storage, the file streaming capabilities and performance can be limited. FILESTREAM integrates the SQL Server Database Engine with an NTFS file system by storing varbinary(max) binary large object (BLOB) data as files on the file system. Transact-SQL statements can insert, update, query, search, and back up FILESTREAM data. Win32 file system interfaces provide streaming access to the data. FILESTREAM uses the NT system cache for caching file data. This helps reduce any effect that FILESTREAM data might have on Database Engine performance. The SQL Server buffer pool is not used; therefore, this memory is available for query processing. FILESTREAM data is not encrypted even when transparent data encryption is enabled. To read more, go to: http://technet.microsoft.com/en-us/library/bb933993.aspx

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  • Oracle as a Service in the Cloud

    - by Jason Williamson
    This should really be a Tweet, but I guess I'm writing a bit more. In theme of data migration and legacy modernization, I am seeing more and more of a push to consolidate data sources, especially from non-oracle to oracle in an effort to save dollars. From a modernization perspective, this fits in quite well. We are able to migrate things like Terradata, Sybase and DB2 and put that all into an Oracle database and then provide that as a OaaS (Oracle as a Service) Cloud offering. This seems to be a growing trend, and not unlike the cool RDS Amazon Database cloud being built on Oracle as well. We again find ourselves back in the similar theme of migration, however. The target technology sounds like a winner (COBOL to Java/SOA...DB2/Datacom/Adabas to Oracle) but the age-old problem of how to get there still persists. It it not trivial to migrate large amounts of pre-relational or "devolved" relational data. To do this, we again must revert back to a tight roadmap to migration and leverage the growing tools and services that we have. I'm working on a couple of new sections and chapters for a book that Tom and Prakash and I are writing around Database Migration and Consolidation. I'll share some snipits shortly.

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  • SOA Suite 11g Purging Guide

    - by ShawnBailey
    We now have a single source of truth concerning Purging in My Oracle Support. The material is contained within the SOA 11g Infrastructure Database: Installation, Maintenance and Administration Guide under the 'Purging' tab. All of the previous purge related content for 11g is now deprecated and many of the documents will redirect to this Guide while others simply contain a disclaimer. What does the Guide contain? Summary Overview of Purging. What it does and why it's important Specific information on each release of 11g Available patches for each release of 11g and recommendations How to run the different purge scripts Tips on improving performance How to begin troubleshooting problems with the process How to identify orphaned records Useful reference information Here are a couple of screen shots to help with navigation: Guide Landing Page: (click image for full view) Select the 'Purging' tab: (click image for full view) The left menu contains the following options: Alternative: Database Partitioning What to do on 11gR1 GA (11.1.1.1) What to do on PS1 (11.1.1.2) What to do on PS2 (11.1.1.3) What to do on PS3 (11.1.1.4) What to do on PS4 (11.1.1.5) Overview of PS5 (11.1.1.6) Purging Step by Step Performance Tips Troubleshooting Purge Orphaned Records Reference This resource goes hand in hand with the excellent documents SOA 11g Database Growth Management Strategy and Start Small, Grow Fast available on OTN. The latest product documentation can be found here.

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  • Should Developers Perform All Tasks or Should They Specialize?

    - by Bob Horn
    Disclaimer: The intent of this question isn't to discern what is better for the individual developer, but for the system as a whole. I've worked in environments where small teams managed certain areas. For example, there would be a small team for every one of these functions: UI Framework code Business/application logic Database I've also worked on teams where the developers were responsible for all of these areas and more (QA, analsyt, etc...). My current environment promotes agile development (specifically scrum) and everyone has their hands in every area mentioned above. While there are pros and cons to each approach, I'd be curious to know if there are more pros and cons than I list below, and also what the generally feeling is about which approach is better. Devs Do It All Pros 1. Developers may be more well-rounded 2. Developers know more of the system Cons 1. Everyone has their hands in all areas, increasing the probability of creating less-than-optimal results in that area 2. It can take longer to do something with which you are unfamiliar (jack of all trades, master of none) Devs Specialize Pros 1. Developers can create policies and procedures for their area of expertise and more easily enforce them 2. Developers have more of a chance to become deeply knowledgeable about their specific area and make it the best it can be 3. Other developers don't cross boundaries and degrade another area Cons 1. As one colleague put it: "Why would you want to pigeon-hole yourself like that?" (Meaning some developers won't get a chance to work in certain areas.) It's easy to say how wonderful agile is, and that we should do it all, but I'm somewhat of a fan of having areas of expertise. Without that expertise, I've seen code degrade, database schemas become difficult to manage, hack UI code, etc... Let's face it, some people make careers out of doing just UI work, or just database work. It's not that easy to just fill in and do as good of a job as an expert in that area.

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  • Architecture : am I doing things right?

    - by Jeremy D
    I'm trying to use a '~classic' layered arch using .NET and Entity Framework. We are starting from a legacy database which is a little bit crappy: Inconsistent naming Unneeded views (view referencing other views, select * views etc...) Aggregated columns Potatoes and Carrots in the same table etc... So I ended with fully isolating my database structure from my domain model. To do so EF entities are hidden from presentation layer. The goal is to permit an easier database refactoring while lowering the impact of it on applications. I'm now facing a lot of challenges and I'm starting to ask myself if I'm doing things right. My Domain Model is highly volatile, it keeps evolving with apps as new fields needs are arising. Complexity of it keeps raising and class it contains start to get a lot of properties. Creating include strategy and reprojecting to EF is very tricky (my domain objects don't have any kind of lazy/eager loading relationship properties): DomainInclude<Domain.Model.Bar>.Include("Customers").Include("Customers.Friends") // To... IFooContext.Bars.Include(...).Include(...).Where(...) Some framework are raping the isolation levels (Devexpress Grids which needs either XPO or IQueryable for filtering and paging large data sets) I'm starting to ask myself if : the isolation of EF auto-generated entities is an unneeded cost. I should allow frameworks to hit IQueryable? Slow slope to hell? (it's really hard to isolate DevExpress framework, any successful experience?) the high volatility of my domain model is normal? Did you have similar difficulties? Any advice based on experience?

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  • Is it conceivable to have millions of lists of data in memory in Python?

    - by Codemonkey
    I have over the last 30 days been developing a Python application that utilizes a MySQL database of information (specifically about Norwegian addresses) to perform address validation and correction. The database contains approximately 2.1 million rows (43 columns) of data and occupies 640MB of disk space. I'm thinking about speed optimizations, and I've got to assume that when validating 10,000+ addresses, each validation running up to 20 queries to the database, networking is a speed bottleneck. I haven't done any measuring or timing yet, and I'm sure there are simpler ways of speed optimizing the application at the moment, but I just want to get the experts' opinions on how realistic it is to load this amount of data into a row-of-rows structure in Python. Also, would it even be any faster? Surely MySQL is optimized for looking up records among vast amounts of data, so how much help would it even be to remove the networking step? Can you imagine any other viable methods of removing the networking step? The location of the MySQL server will vary, as the application might well be run from a laptop at home or at the office, where the server would be local.

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  • Triggering Data Changes in N-Tier

    - by Ryan Kinal
    I've been studying n-tier architectures as of late, particularly in VB.NET with Entity Framework and/or LINQ to SQL. I understand the basic concepts, but have been wondering about best practices in regard to triggering CRUD-type operations from user input/action. So, the arcitecture looks something like the following: [presentation layer] - [business layer] - [data layer] - (database) Getting information from the database into the presentation layer is simple and abstracted. It's just a matter of instantiating a new object from the business layer, which in turn uses the data layer to get at the correct information. However, saving (updating and inserting), and deleting seem to require particular APIs on the relevant business objects. I have to assume this is standard practice, unless a business object will save itself on various operations (which seems inefficient), or on disposal (which seems like it just wouldn't work, or may be unwieldy and unreliable). Should my "savable" business objects all implement a particular "ISavable" or "IDatabaseObject" interface? Is this a recognized (anti-)pattern? Are there other, better patterns I should be using that I'm just unaware of? The TLDR question, I suppose, is How does the presentation layer trigger database changes?

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  • How are objects modelled in a functional programming language?

    - by Giorgio
    In an answer to this question (written by Pete) there are some considerations about OOP versus FP. In particular, it is suggested that FP languages are not very suitable for modelling (persistent) objects that have an identity and a mutable state. I was wondering if this is true or, in other words, how one would model objects in a functional programming language. From my basic knowledge of Haskell I thought that one could use monads in some way, but I really do not know enough on this topic to come up with a clear answer. So, how are entities with an identity and a mutable persistent state normally modelled in a functional language? EDIT Here are some further details to clarify what I have in mind. Take a typical Java application in which I can (1) read a record from a database table into a Java object, (2) modify the object in different ways, (3) save the modified object to the database. How would this be implemented e.g. in Haskell? I would initially read the record into a record value (defined by a data definition), perform different transformations by applying functions to this initial value (each intermediate value is a new, modified copy of the original record) and then write the final record value to the database. Is this all there is to it? How can I ensure that at each moment in time only one copy of the record is valid / accessible? One does not want to have different immutable values representing different snapshots of the same object to be accessible at the same time.

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