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• Database version control resources

  - by Wes McClure

  In the process of creating my own DB VCS tool tsqlmigrations.codeplex.com I ran into several good resources to help guide me along the way in reviewing existing offerings and in concepts that would be needed in a good DB VCS.  This is my list of helpful links that others can use to understand some of the concepts and some of the tools in existence.  In the next few posts I will try to explain how I used these to create TSqlMigrations.   Blogs entries Three rules for database work - K. Scott Allen http://odetocode.com/blogs/scott/archive/2008/01/30/three-rules-for-database-work.aspx Versioning databases - the baseline http://odetocode.com/blogs/scott/archive/2008/01/31/versioning-databases-the-baseline.aspx Versioning databases - change scripts http://odetocode.com/blogs/scott/archive/2008/02/02/versioning-databases-change-scripts.aspx Versioning databases - views, stored procedures and the like http://odetocode.com/blogs/scott/archive/2008/02/02/versioning-databases-views-stored-procedures-and-the-like.aspx Versioning databases - branching and merging http://odetocode.com/blogs/scott/archive/2008/02/03/versioning-databases-branching-and-merging.aspx Evolutionary Database Design - Martin Fowler http://martinfowler.com/articles/evodb.html Are database migration frameworks worth the effort? - Good challenges http://www.ridgway.co.za/archive/2009/01/03/are-database-migration-frameworks-worth-the-effort.aspx Continuous Integration (in general) http://martinfowler.com/articles/continuousIntegration.html http://martinfowler.com/articles/originalContinuousIntegration.html Is Your Database Under Version Control? http://www.codinghorror.com/blog/archives/000743.html 11 Tools for Database Versioning http://secretgeek.net/dbcontrol.asp How to do database source control and builds http://mikehadlow.blogspot.com/2006/09/how-to-do-database-source-control-and.html .Net Database Migration Tool Roundup http://flux88.com/blog/net-database-migration-tool-roundup/ Books Book Description Refactoring Databases: Evolutionary Database Design Martin Fowler signature series on refactoring databases. Book site: http://databaserefactoring.com/ Recipes for Continuous Database Integration: Evolutionary Database Development (Digital Short Cut) A good question/answer layout of common problems and solutions with database version control. http://www.informit.com/store/product.aspx?isbn=032150206X

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• NetBackup-pal is muködik az Oracle Database 11gR2 mentés Exadata V2 környezetben

  - by Fekete Zoltán

  A Veritas NetBackup szoftverrel is menthetok az Oracle 11gR2 adatbázisok az Oracle Enterprise Linux-on is (RMAN-t használva), 64-bites környezetben. A dokumentumokban a Red Hat-re vonatkozó infót kell keresnünk, mivel http://seer.entsupport.symantec.com/docs/337048.htm szerint "Oracle Enterprise Linux (OEL)" Supported based on NetBackup Red Hat Enterprise Linux 4.x/5.x Client, Server, and Oracle Agent support. BMR is not supported. NetBackup compatibility listák: http://seer.entsupport.symantec.com/docs/303344.htm - A NetBackup 7 kompatibilis az Oracle Exadata V2-vel: http://seer.entsupport.symantec.com/docs/340295.htm - A NetBackup 6.x verziókra telepíteni kell a következo patch-et: NB_6.5.5_ET1940073_1_347227.zip is a NetBackup 6.5.5 EEB (Emergency Engineering Binary) for Oracle Clients. http://seer.entsupport.symantec.com/docs/347227.htm és http://support.veritas.com/docs/279048.

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• Visual Database Design Application

  - by tshauck

  Hi, I'm getting to the point where the applications I write need a little more structure during the planning phase. So I'd like to use some sort of visual tool to design the tables and relationships. I'm on a mac and have tried mysql workbench, but I find it buggy and a bit bloated for my intended use. Is something that I could design in that has a nice interface and is primarily a tool for visual design? Thanks

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• Protect Data and Save Money? Learn How Best-in-Class Organizations do Both

  - by roxana.bradescu

  Databases contain nearly two-thirds of the sensitive information that must be protected as part of any organization's overall approach to security, risk management, and compliance. Solutions for protecting data housed in databases vary from encrypting data at the application level to defense-in-depth protection of the database itself. So is there a difference? Absolutely! According to new research from the Aberdeen Group, Best-in-Class organizations experience fewer data breaches and audit deficiencies - at lower cost -- by deploying database security solutions. And the results are dramatic: Aberdeen found that organizations encrypting data within their databases achieved 30% fewer data breaches and 15% greater audit efficiency with 34% less total cost when compared to organizations encrypting data within applications. Join us for a live webcast with Derek Brink, Vice President and Research Fellow at the Aberdeen Group, next week to learn how your organization can become Best-in-Class.

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• Is data integrity possible without normalization?

  - by shuniar

  I am working on an application that requires the storage of location information such as city, state, zip code, latitude, and longitude. I would like to ensure: Location data is accurate Detroit, CA Detroit IS NOT in California Detroit, MI Detroit IS in Michigan Cities and states are spelled correctly California not Calefornia Detroit not Detriot Cities and states are named consistently Valid: CA Detroit Invalid: Cali california DET d-town The D Also, since city/zip data is not guaranteed to be static, updating this data in a normalized fashion could be difficult, whereas it could be implemented as a de facto location if it is denormalized. A couple thoughts that come to mind: A collection of reference tables that store a list of all states and the most common cities and zip codes that can grow over time. It would search the database for an exact or similar match and recommend corrections. Use some sort of service to validate the location data before it is stored in the database. Is it possible to fulfill these requirements without normalization, and if so, should I denormalize this data?

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• Article: Build an Enterprise-Grade PHP Stack with Zend Server and Oracle Database 11g

  - by OracleTechnologyNetwork

  Learn the quick way to create a Oracle/PHP/Apache/Linux (OPAL) development and deployment environment. Updated for Zend Server 1.4.

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• Geek City: Clearing Plans for a Single Database

  - by Kalen Delaney

  I know Friday afternoon isn't the best time for blogging, as everyone is going home now, and by Monday morning, this post will be old news. But I'm not shutting down just yet, and a something came up this week that I just realized not everybody knew about, so I decided to blog it. Many (or most?) of you are aware that you can clear all cached plans using DBCC FREEPROCCACHE. In addition, there are certain configuration options, for which changing their values will cause all plans in cache to be removed....(read more)

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• Here Comes the FY11 Earmarks Database

  - by Mike C

  I'm really interested in politics (don't worry, I'm not going to start bashing politicians and hammering you with political rage). The point is when the U.S. FY11 Omnibus Spending Bill (the bill to fund the U.S. Government for another year) was announced it piqued my interest. I'm fascinated by " earmarks " (also affectionally known as " pork "). For those who aren't familiar with U.S. politics, "earmark" is a slang term for "Congressionally Directed Spending". It's basically the set of provisions...(read more)

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• Geek City: Clearing Plans for a Single Database

  - by Kalen Delaney

  I know Friday afternoon isn't the best time for blogging, as everyone is going home now, and by Monday morning, this post will be old news. But I'm not shutting down just yet, and a something came up this week that I just realized not everybody knew about, so I decided to blog it. Many (or most?) of you are aware that you can clear all cached plans using DBCC FREEPROCCACHE. In addition, there are certain configuration options, for which changing their values will cause all plans in cache to be removed....(read more)

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• Storing Attendance Data in database

  - by Ali Abbas

  So i have to store daily attendance of employees of my organisation from my application . The part where I need some help is, the efficient way to store attendance data. After some research and brain storming I came up with some approaches . Could you point me out which one is the best and any unobvious ill effects of the mentioned approaches. The approaches are as follows Create a single table for whole organisation and store empid,date,presentstatus as a row for every employee everyday. Create a single table for whole organisation and store a single row for each day with a comma delimited string of empids which are absent. I will generate the string on my application. Create different tables for each department and follow the 1 method. Please share your views and do mention any other good methods

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• Database Administration as a Service

  A DBA should provide two things, a service and leadership. For Grant Fritchey, it was whilst serving a role in the Scouts of America that he had his epiphany. Creative chaos and energy, if tactfully harnessed and directed, led to effective ways to perform team-based tasks. Then he wondered why these skills couldn't be applied to the workplace. Are we DBAs doing it wrong in the way we interact with our co-workers?

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• Would a model like this translate well to a document or graph database?

  - by Eric

  I'm trying to understand what types of models that I have traditionally persisted relationally would translate well to some kind of NoSQL database. Suppose I have a model with the following relationships: Product 1-----0..N Order Customer 1-----0..N Order And suppose I need to frequently query things like All Orders, All Products, All Customers, All Orders for Given Customer, All Orders for Given Product. My feeling is that this kind of model would not denormalize cleanly - If I had Product and Customer documents with embedded Orders, both documents would have duplicate orders. So I think I'd need separate documents for all three entities. Does a characteristic like this typically indicate that a document database is not well suited for a given model? Generally speaking, would a document database perform as well as a relational database in this kind of situation? I know very little about graph databases, but I understand that a graph database handles relationships more performantly than a document database - would a graph database be suited for this kind of model?

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• Optimal Database design regarding functionality of letting user share posts by other users

  - by codecool

  I want to implement functionality which let user share posts by other users similar to what Facebook and Google+ share button and twitter retweet. There are 2 choices: 1) I create duplicate copy of the post and have a column which keeps track of the original post id and makes clear this is a shared post. 2) I have a separate table shared post where I save the post id which is a foreign key to post id in post table. Talking in terms of programming basically I keep pointer to the original post in a separate table and when need to get post posted by user and also shared ones I do a left join on post and shared post table Post(post_id(PK), post_content, posted_by) SharedPost(post_id(FK to Post.post_id), sharing_user, sharedfrom(in case someone shares from non owners profile)) I am in favour of second choice but wanted to know the advice of experts out there? One thing more posts on my webapp will be more on the lines of facebook size not tweet size.

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• Android application Database Framework

  - by Marek Sebera

  When creating mobile (specially Android) application, I usually come to touch with similar pattern of working with data. Usually I need to fetch some remote data (covered by authorization process) to local cache. And on next request: Check networking Check presence of cache file Check version of cache file (if networking) Get new version and save cache (if networking and file not in cache, or outdated) Data store is no-SQL JSON Document-Based (and yes, I know about CouchDB Android version, but it doesn't fit my needs yet.) Process of authorizing to data source and code for check version of local cache is adapted to application. But the other code (handling network, saving cache, handling exceptions,...) is always the same. Is there any Data Store helper I can use, which provides functions I described above?

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• How to deal with transactions when creating a database connection for each query

  - by webnoob

  In line with this post here I am going to change my website to create a connection per query to take advantage of .NET's connection pooling. With this in mind, I don't know how I should deal with transactions. At the moment I do something like (psuedo code): GlobalTransaction = GlobalDBConnection.BeginTransaction(); try { ExecSQL("insert into table ..") ExecSQL("update some_table ..") .... GlobalTransaction.Commit(); }catch{ GlobalTransaction.Rollback(); throw; } ExecSQL would be like this: using (SqlCommand Command = GlobalDBConnection.CreateCommand()) { Command.Connection = GlobalDBConnection; Command.Transaction = GlobalTransaction; Command.CommandText = SQLStr; Command.ExecuteNonQuery(); } I'm not quite sure how to change this concept to deal with transactions if the connection is created within ExecSQL because I would want the transaction to be shared between both the insert and update routines.

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• Looking for free, specific Ip2Location Database

  - by Andresch Serj

  I am searching for a free db (like an updated XML or CSV file) that relates IP addresses to specific locations. I want more information than just the country. I want some sort of region or city reference, even if that ends up to be a number that makes no sense to me. Doesn't have to be super correct or always up to date either. It is just to distinguish between user groups and not to monitor or spy on them.

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• Modular Database Structures

  - by John D

  I have been examining the code base we use in work and I am worried about the size the packages have grown to. The actual code is modular, procedures have been broken down into small functional (and testable) parts. The issue I see is that we have 100 procedures in a single package - almost an entire domain model. I had thought of breaking these packages down - to create sub domains that are centered around the procedure relationships to other objects. Group a bunch of procedures that have 80% of their relationships to three tables etc. The end result would be a lot more packages, but the packages would be smaller and I feel the entire code base would be more readable - when procedures cross between two domain models it is less of a struggle to figure which package it belongs to. The problem I now have is what the actual benefit of all this would really be. I looked at the general advantages of modularity: 1. Re-usability 2. Asynchronous Development 3. Maintainability Yet when I consider our latest development, the procedures within the packages are already reusable. At this advanced stage we rarely require asynchronous development - and when it is required we simply ladder the stories across iterations. So I guess my question is if people know of reasons why you would break down classes rather than just the methods inside of classes? Right now I do believe there is an issue with these mega packages forming but the only benefit I can really pin down to break them down is readability - something that experience gained from working with them would solve.

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• Free, specific Ip2Location Database

  - by Andresch Serj

  I am searching for a free db (like an updated xml or csv file) that relates ip adresses to specific locations. I want more information than just the Country. I want some sort of region or city refference, even if that ends up to be a number that makes no sense to me. Doesn't have to be super correct or always up to date either. It is just to distinguish between usergroups and not to monitor or spy on them.

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• Continuous Delivery and the Database

  Continuous Delivery is fairly generally understood to be an effective way of tackling the problems of software delivery and deployment by making build, integration and delivery into a routine. The way that databases fit into the Continuous Delivery story has been less-well defined. Phil Factor explains why he's an enthusiast for databases being full participants, and suggests practical ways of doing so.

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• Set modified date = created date or null on record creation?

  - by User

  I've been following the convention of adding created and modified columns to most of my database tables. I also have been leaving the modified column as null on record creation and only setting a value on actual modification. The other alternative is to set the modified date to be equal to created date on record creation. I've been doing it the former way but I recent ran into one con which is seriously making me think of switching. I needed to set a database cache dependency to find out if any existing data has been changed or new data added. Instead of being able to do the following: SELECT MAX(modified) FROM customer I have to do this: SELECT GREATEST(MAX(created), MAX(modified)) FROM customer The negative being that it's a more complicated query and slower. Another thing is in file systems I believe they usually use the second convention of setting modified date = created date on creation. What are the pros and cons of the different methods? That is, what are the issues to consider?

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• Database in the cloud?

  - by Jlouro

  Some of my recent clients are asking for remote connections to the office server, for standalone work, etc, in winForm applications. Since the concept of the web is remote connection to a server both of data and resources, it should be possible to place both of this in cloud and have the winForm apps connect to it as if web Apps. As any one tested this, is working like this? Is it fast enough? Is it secure? What is the best cloud host for this type of work ?

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• SQL and Database: Where to start! [closed]

  - by Nizar

  First of all I just know HTML and CSS (this is my background in web development and design) and I have found that before I move to a server-side language I need to learn about databases and SQL. My first question: Do you think this order of learning is good (I mean to learn SQL after HTML and CSS)? My secod related question: Do I have to learn a lot about SQL and databases? or just the basics? and if you know any good beginners books please write their titles.

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• How should I implement Transaction database EJB 3.0

  - by JamesBoyZ

  In the CustomerTransactions entity, I have the following field to record what the customer bought: @ManyToMany private List<Item> listOfItemsBought; When I think more about this field, there's a chance it may not work because merchants are allowed to change item's information (e.g. price, discount, etc...). Hence, this field will not be able to record what the customer actually bought when the transaction occurred. At the moment, I can only think of 2 ways to make it work. I will record the transaction details into a String field. I feel that this way would be messy if I need to extract some information about the transaction later on. Whenever the merchant changes an item's information, I will not update directly to that item's fields. Instead, I will create another new item with all the new information and keep the old item untouched. I feel that this way is better because I can easily extract information about the transaction later on. However, the bad side is that my Item table may contain a lot of rows. I'd be very grateful if someone could give me an advice on how I should tackle this problem. UPDATE: I'd like to add more information about the current design. public class Customer implements Serializable { @OneToMany private List<CustomerTransactions> listOfTransactions; } public class CustomerTransactions implements Serializable { @ManyToMany private List<Item> listOfItemsBought; } public class Merchant implements Serializable { @OneToMany private List<Item> listOfSellingItems; }

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• ??????Oracle Enterprise Manager???????

  - by Yusuke.Yamamoto

  ????? ??:2010/10/19 ??:???? ?????????????????????????????????????????????????? Oracle Enterprise Manager(EM)????????????4?????EM ???????????????????????? ?1? ???????????????/ ???????????? Oracle Database????????????????EM ??????????????????2? EM ??????????/ ????????????? EM?????????????????????3? ????????????·???/ ????????????????Enterprise Edition ?????????Standard Edition ?????????????????????????????????·???????4? ?????????????????/ Oracle Database ???????? EM ?????????????????????????????????????????·????·?????? ????????? ????????????????? http://oracletech.jp/products/pickup/000028.html

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• SQL Server Database In Single User Mode after Failover

  - by jlichauc

  Here is a weird situation we experienced with a SQL Server 2008 Database Mirroring Failover. We have a pair of mirrored databases running in high-availability mode and both the principal and mirror showed as synchronized. As part of some maintenance I triggered a manual failover of the principal to the mirror. However after the failover the principal was now in single-user mode instead of the expected "Principal/Synchronized" state we usually get. The database had been in multi-user mode on the previous principal before this had happened. We ended up stopping all applications, restarting the SQL Server instances, and executing "ALTER DATABASE ... SET MULTI_USER" to bring the database back to the expected "Principal/Synchronized" state in a multi-user mode. Question. Does anyone know where SQL Server stores information about whether a database should be in single-user mode or not? I'm wondering if there is some system database or table that has this setting recorded somewhere. In particular we had an incident once with the database on the original principal (the one I was failing over to) where when trying to detach the database it was put into single-user mode. I'm wondering if that setting is cached somewhere and is the reason that SQL Server put it back into single-user mode after a failover.

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