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  • Multiple connections to a MySQL database in a single PHP script.

    - by st3
    There are multiple times in one page where I need to connect and subsequently query a MySQL database, yet my code won't let me. I think it might be something to do with how my files are nested but it makes no sense. I am opening the SQL connection in the header file. The top of the offending page looks like the following: <?php $page_title = 'Dashboard'; include('templates/header.inc'); // includes a 'require_once('mysqli_connect.php') and a small query to the database; require_once('includes/functions.php'); require_once('includes/dashboard_sql.php'); // Contains functions which connect to database (which are failing.) ?> I get the PHP error Notice: Undefined variable: dbc in /Library/WebServer/Documents/pediatory_site/includes/dashboard_sql.php Where $dbc is the database connection defined in mysqli_connect.php. If anyone could help me out that would be great.

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  • Should core application configuration be stored in the database, and if so what should be done to se

    - by Rl
    I'm writing an application around a lot of hierarchical data. Currently the hierarchy is fixed, but it's likely that new items will be added to the hierarchy in the future. (please let them be leaves) My current application and database design is fairly generic and nothing dealing with specific nodes in the hierarchy is hardcoded, with the exception of validation and lookup functions written to retrieve external data from each node's particular database. This pleases me from a design point of view, but I'm nervous at the realization that the entire application rests on a handful of records in the database. I'm also frustrated that I have to enforce certain aspects of data integrity with database triggers rather than by foreign key constraints (an example is where several different nodes in the hierarchy have their own proprietary IDs and I store them in a single column which, when coupled with the node ID can be used to locate the foreign data). I'm starting to wonder whether it may have been appropriate to simply hardcoded these known nodes into the system so that it would be more "type safe" and less generic. How does one know when something should be hardcoded, and when it should be a configuration item? Is it just a cost-benefit analysis of clarity/safety now vs less work later, or am I missing some metric I should be using to determine whether or not this is appropriate. The steps I'm taking to protect these valuable configurations are to add triggers that prevent updates/deletes. The database user that this application uses will only have the ability to manipulate data through stored procedures. What else can I do?

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  • How to automatically check out a database file in a source controlled web application ?

    - by TheRHCP
    Hello, I am working on an ASP.NET web application, we are a small team (4 students) and we do not have access to a dedicated server to host the database instance. So for this web application we decided just to put the database file in the App_Data folder. The problem is that our project is source controled on TFS, so every time you open the solution and try to launch the web application, we get an expcetion saying that database is read-only. That is logical because the databse file is not automatically checked-out. Is there a workaround to avoid a manual check-out of the database file everytime we open the solution ? Thanks.

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  • How to Audit Database Activity without Performance and Scalability Issues?

    - by GotoError
    I have a need to do auditing all database activity regardless of whether it came from application or someone issuing some sql via other means. So the auditing must be done at the database level. The database in question is Oracle. I looked at doing it via Triggers and also via something called Fine Grained Auditing that Oracle provides. In both cases, we turned on auditing on specific tables and specific columns. However, we found that Performance really sucks when we use either of these methods. Since auditing is an absolute must due to regulations placed around data privacy, I am wondering what is best way to do this without significant performance degradations. If someone has Oracle specific experience with this, it will be helpful but if not just general practices around database activity auditing will be okay as well.

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  • Is it normal to get SQLITE_BUSY on a read only database?

    - by dicroce
    I have 2 processes: 1 is writing to a sqlite database, 1 is reading from the same database. Occasioally, I get SQLITE_BUSY on my selects. Is this normal? Is their some option or way I could open the database so that it blocks until it CAN complete the query? (I tried the FULLMUTEX option on the open call but it appeared to have no effect).

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  • Hekaton – SQL Server’s in-memory database engine

    - by Christian
    Microsoft have just gone public at the PASS Summit in Seattle about a new SQL Server engine that they’re working on which is optimized for high-memory servers – an in-memory OLTP database engine which is built-in to SQL Server rather than a separate entity.  This means that you can move just the performance critical parts of your database to Hekaton. The new engine really pushes the performance boundaries by eliminating as many instructions as possible: Main memory optimized tables which are decoupled from on-disk structures; Everything is lock and latch free; More work is pushed to compile time so your T-SQL code is compiled natively into low-level code. We’re already working with a customer on an early adoption program so expect to hear from us on what we learn about implementing it!   Christian Bolton - MCA, MCM, MVP Technical Director http://coeo.com - SQL Server Consulting & Managed Services

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  • SQL SERVER – Find Most Active Database in SQL Server – DMV dm_io_virtual_file_stats

    - by pinaldave
    Few days ago, I wrote about SQL SERVER – Find Current Location of Data and Log File of All the Database. There was very interesting conversation in comments by blog readers. Blog reader and SQL Expert Sreedhar has very interesting DMV presented which lists the most active database in SQL Server. For quick reference he has included the size of the disk in KB, MB and GB as well. SELECT DB_NAME(mf.database_id) AS databaseName, name AS File_LogicalName, CASE WHEN type_desc = 'LOG' THEN 'Log File' WHEN type_desc = 'ROWS' THEN 'Data File' ELSE type_desc END AS File_type_desc ,mf.physical_name ,num_of_reads ,num_of_bytes_read ,io_stall_read_ms ,num_of_writes ,num_of_bytes_written ,io_stall_write_ms ,io_stall ,size_on_disk_bytes ,size_on_disk_bytes/ 1024 AS size_on_disk_KB ,size_on_disk_bytes/ 1024 / 1024 AS size_on_disk_MB ,size_on_disk_bytes/ 1024 / 1024 / 1024 AS size_on_disk_GB FROM sys.dm_io_virtual_file_stats(NULL, NULL) AS divfs JOIN sys.master_files AS mf ON mf.database_id = divfs.database_id AND mf.FILE_ID = divfs.FILE_ID ORDER BY num_of_Reads DESC If you like to read and practice with DMVs, I suggest to read the blog of my very good friend Glenn Berry. He is one DMV expert. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • Disk I/O error copying a Exchange 2007 database

    - by Scottio
    Hi all, A short time ago due to disk space I moved our Exchange database onto an external drive, the drive was new and the database was being backed up daily. I've now discovered the database is corrupt, I've run the Exchange utils to fix the database and this works but it corrupts again as soon as I try to move it. I need to get it off the disk, any suggestions? I'm also trying to restore the last good database but I'd like try to get the database off this disk, any suggestions? PS I know putting the db on an external disk was a bad move, I had no where else to put it :-( Thanks

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  • Change Tracking

    - by Ricardo Peres
    You may recall my last post on Change Data Control. This time I am going to talk about other option for tracking changes to tables on SQL Server: Change Tracking. The main differences between the two are: Change Tracking works with SQL Server 2008 Express Change Tracking does not require SQL Server Agent to be running Change Tracking does not keep the old values in case of an UPDATE or DELETE Change Data Capture uses an asynchronous process, so there is no overhead on each operation Change Data Capture requires more storage and processing Here's some code that illustrates it's usage: -- for demonstrative purposes, table Post of database Blog only contains two columns, PostId and Title -- enable change tracking for database Blog, for 2 days ALTER DATABASE Blog SET CHANGE_TRACKING = ON (CHANGE_RETENTION = 2 DAYS, AUTO_CLEANUP = ON); -- enable change tracking for table Post ALTER TABLE Post ENABLE CHANGE_TRACKING WITH (TRACK_COLUMNS_UPDATED = ON); -- see current records on table Post SELECT * FROM Post SELECT * FROM sys.sysobjects WHERE name = 'Post' SELECT * FROM sys.sysdatabases WHERE name = 'Blog' -- confirm that table Post and database Blog are being change tracked SELECT * FROM sys.change_tracking_tables SELECT * FROM sys.change_tracking_databases -- see current version for table Post SELECT p.PostId, p.Title, c.SYS_CHANGE_VERSION, c.SYS_CHANGE_CONTEXT FROM Post AS p CROSS APPLY CHANGETABLE(VERSION Post, (PostId), (p.PostId)) AS c; -- update post UPDATE Post SET Title = 'First Post Title Changed' WHERE Title = 'First Post Title'; -- see current version for table Post SELECT p.PostId, p.Title, c.SYS_CHANGE_VERSION, c.SYS_CHANGE_CONTEXT FROM Post AS p CROSS APPLY CHANGETABLE(VERSION Post, (PostId), (p.PostId)) AS c; -- see changes since version 0 (initial) SELECT p.Title, c.PostId, SYS_CHANGE_VERSION, SYS_CHANGE_OPERATION, SYS_CHANGE_COLUMNS, SYS_CHANGE_CONTEXT FROM CHANGETABLE(CHANGES Post, 0) AS c LEFT OUTER JOIN Post AS p ON p.PostId = c.PostId; -- is column Title of table Post changed since version 0? SELECT CHANGE_TRACKING_IS_COLUMN_IN_MASK(COLUMNPROPERTY(OBJECT_ID('Post'), 'Title', 'ColumnId'), (SELECT SYS_CHANGE_COLUMNS FROM CHANGETABLE(CHANGES Post, 0) AS c)) -- get current version SELECT CHANGE_TRACKING_CURRENT_VERSION() -- disable change tracking for table Post ALTER TABLE Post DISABLE CHANGE_TRACKING; -- disable change tracking for database Blog ALTER DATABASE Blog SET CHANGE_TRACKING = OFF; You can read about the differences between the two options here. Choose the one that best suits your needs! SyntaxHighlighter.config.clipboardSwf = 'http://alexgorbatchev.com/pub/sh/2.0.320/scripts/clipboard.swf'; SyntaxHighlighter.brushes.CSharp.aliases = ['c#', 'c-sharp', 'csharp']; SyntaxHighlighter.brushes.Xml.aliases = ['xml']; SyntaxHighlighter.all();

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  • LLBLGen Pro feature highlights: grouping model elements

    - by FransBouma
    (This post is part of a series of posts about features of the LLBLGen Pro system) When working with an entity model which has more than a few entities, it's often convenient to be able to group entities together if they belong to a semantic sub-model. For example, if your entity model has several entities which are about 'security', it would be practical to group them together under the 'security' moniker. This way, you could easily find them back, yet they can be left inside the complete entity model altogether so their relationships with entities outside the group are kept. In other situations your domain consists of semi-separate entity models which all target tables/views which are located in the same database. It then might be convenient to have a single project to manage the complete target database, yet have the entity models separate of each other and have them result in separate code bases. LLBLGen Pro can do both for you. This blog post will illustrate both situations. The feature is called group usage and is controllable through the project settings. This setting is supported on all supported O/R mapper frameworks. Situation one: grouping entities in a single model. This situation is common for entity models which are dense, so many relationships exist between all sub-models: you can't split them up easily into separate models (nor do you likely want to), however it's convenient to have them grouped together into groups inside the entity model at the project level. A typical example for this is the AdventureWorks example database for SQL Server. This database, which is a single catalog, has for each sub-group a schema, however most of these schemas are tightly connected with each other: adding all schemas together will give a model with entities which indirectly are related to all other entities. LLBLGen Pro's default setting for group usage is AsVisualGroupingMechanism which is what this situation is all about: we group the elements for visual purposes, it has no real meaning for the model nor the code generated. Let's reverse engineer AdventureWorks to an entity model. By default, LLBLGen Pro uses the target schema an element is in which is being reverse engineered, as the group it will be in. This is convenient if you already have categorized tables/views in schemas, like which is the case in AdventureWorks. Of course this can be switched off, or corrected on the fly. When reverse engineering, we'll walk through a wizard which will guide us with the selection of the elements which relational model data should be retrieved, which we can later on use to reverse engineer to an entity model. The first step after specifying which database server connect to is to select these elements. below we can see the AdventureWorks catalog as well as the different schemas it contains. We'll include all of them. After the wizard completes, we have all relational model data nicely in our catalog data, with schemas. So let's reverse engineer entities from the tables in these schemas. We select in the catalog explorer the schemas 'HumanResources', 'Person', 'Production', 'Purchasing' and 'Sales', then right-click one of them and from the context menu, we select Reverse engineer Tables to Entity Definitions.... This will bring up the dialog below. We check all checkboxes in one go by checking the checkbox at the top to mark them all to be added to the project. As you can see LLBLGen Pro has already filled in the group name based on the schema name, as this is the default and we didn't change the setting. If you want, you can select multiple rows at once and set the group name to something else using the controls on the dialog. We're fine with the group names chosen so we'll simply click Add to Project. This gives the following result:   (I collapsed the other groups to keep the picture small ;)). As you can see, the entities are now grouped. Just to see how dense this model is, I've expanded the relationships of Employee: As you can see, it has relationships with entities from three other groups than HumanResources. It's not doable to cut up this project into sub-models without duplicating the Employee entity in all those groups, so this model is better suited to be used as a single model resulting in a single code base, however it benefits greatly from having its entities grouped into separate groups at the project level, to make work done on the model easier. Now let's look at another situation, namely where we work with a single database while we want to have multiple models and for each model a separate code base. Situation two: grouping entities in separate models within the same project. To get rid of the entities to see the second situation in action, simply undo the reverse engineering action in the project. We still have the AdventureWorks relational model data in the catalog. To switch LLBLGen Pro to see each group in the project as a separate project, open the Project Settings, navigate to General and set Group usage to AsSeparateProjects. In the catalog explorer, select Person and Production, right-click them and select again Reverse engineer Tables to Entities.... Again check the checkbox at the top to mark all entities to be added and click Add to Project. We get two groups, as expected, however this time the groups are seen as separate projects. This means that the validation logic inside LLBLGen Pro will see it as an error if there's e.g. a relationship or an inheritance edge linking two groups together, as that would lead to a cyclic reference in the code bases. To see this variant of the grouping feature, seeing the groups as separate projects, in action, we'll generate code from the project with the two groups we just created: select from the main menu: Project -> Generate Source-code... (or press F7 ;)). In the dialog popping up, select the target .NET framework you want to use, the template preset, fill in a destination folder and click Start Generator (normal). This will start the code generator process. As expected the code generator has simply generated two code bases, one for Person and one for Production: The group name is used inside the namespace for the different elements. This allows you to add both code bases to a single solution and use them together in a different project without problems. Below is a snippet from the code file of a generated entity class. //... using System.Xml.Serialization; using AdventureWorks.Person; using AdventureWorks.Person.HelperClasses; using AdventureWorks.Person.FactoryClasses; using AdventureWorks.Person.RelationClasses; using SD.LLBLGen.Pro.ORMSupportClasses; namespace AdventureWorks.Person.EntityClasses { //... /// <summary>Entity class which represents the entity 'Address'.<br/><br/></summary> [Serializable] public partial class AddressEntity : CommonEntityBase //... The advantage of this is that you can have two code bases and work with them separately, yet have a single target database and maintain everything in a single location. If you decide to move to a single code base, you can do so with a change of one setting. It's also useful if you want to keep the groups as separate models (and code bases) yet want to add relationships to elements from another group using a copy of the entity: you can simply reverse engineer the target table to a new entity into a different group, effectively making a copy of the entity. As there's a single target database, changes made to that database are reflected in both models which makes maintenance easier than when you'd have a separate project for each group, with its own relational model data. Conclusion LLBLGen Pro offers a flexible way to work with entities in sub-models and control how the sub-models end up in the generated code.

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  • SQL SERVER – SQL Server High Availability Options – Notes from the Field #032

    - by Pinal Dave
    [Notes from Pinal]: When it is about High Availability or Disaster Recovery, I often see people getting confused. There are so many options available that when the user has to select what is the most optimal solution for their organization they are often confused. Most of the people even know the salient features of various options, but when they have to figure out one single option to use they are often not sure which option to use. I like to give ask my dear friend time all these kinds of complicated questions. He has a skill to make a complex subject very simple and easy to understand. Linchpin People are database coaches and wellness experts for a data driven world. In this 26th episode of the Notes from the Fields series database expert Tim Radney (partner at Linchpin People) explains in a very simple words the best High Availability Option for your SQL Server.  Working with SQL Server a common challenge we are faced with is providing the maximum uptime possible.  To meet these demands we have to design a solution to provide High Availability (HA). Microsoft SQL Server depending on your edition provides you with several options.  This could be database mirroring, log shipping, failover clusters, availability groups or replication. Each possible solution comes with pro’s and con’s.  Not anyone one solution fits all scenarios so understanding which solution meets which need is important.  As with anything IT related, you need to fully understand your requirements before trying to solution the problem.  When it comes to building an HA solution, you need to understand the risk your organization needs to mitigate the most. I have found that most are concerned about hardware failure and OS failures. Other common concerns are data corruption or storage issues.  For data corruption or storage issues you can mitigate those concerns by having a second copy of the databases. That can be accomplished with database mirroring, log shipping, replication or availability groups with a secondary replica.  Failover clustering and virtualization with shared storage do not provide redundancy of the data. I recently created a chart outlining some pros and cons of each of the technologies that I posted on my blog. I like to use this chart to help illustrate how each technology provides a certain number of benefits.  Each of these solutions carries with it some level of cost and complexity.  As a database professional we should all be familiar with these technologies so we can make the best possible choice for our organization. If you want me to take a look at your server and its settings, or if your server is facing any issue we can Fix Your SQL Server. Note: Tim has also written an excellent book on SQL Backup and Recovery, a must have for everyone. Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: Notes from the Field, PostADay, SQL, SQL Authority, SQL Performance, SQL Query, SQL Server, SQL Tips and Tricks, T SQL Tagged: Shrinking Database

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  • Best practices when creating/modeling databases?

    - by Oscar Mederos
    I learned at the University some steps to model a database: Model the problem using the Extended Entity-Relationship Model. Extract the functional dependencies Apply some algorithms to normalize the database (3NF or Boyce-Codd) Create the database I'm studying Computer Science and since I received that course I'm wondering if I always need to do those steps when creating a complex database for an specified problem. For example, do PHP / .NET / .. programmers always do that? or there are some tools to simplify that process, maybe using another way of represent the problem instead of the EERM?

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  • Oracle Technológia Fórum, 2010. május 5.

    - by Fekete Zoltán
    Holnap, május 5-ikén lesz Exadata/Database Machine eloadás is (by me). Többek között elmondom, hogyan lehet a Database Machine, Exadata környezeteket patch-elni: Database, Exadata, további elemek. Oracle Technológia Fórum rendezvény, 2010. május 5. szerda. Tessék jönni, kérdezni.

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  • New Exadata Book Available Soon

    - by Rob Reynolds
    Oracle Press is set to released the first book on data warehouse performance and Exadata on March 14th. Achieving Extreme Performance with Oracle Exadata , by my colleagues Rick Greenwald, Robert Stackowiak, Maqsood Alam, and Mans Bhuller will be available at your favorite booksellers next week. I've seen a sneak peak of the content in this book and its a great way to fully grasp the power of Exadata and how to best apply it to achieve extreme data warehouse performance. From the publisher's description: Achieving Extreme Performance with Oracle Exadata and the Sun Oracle Database Machine is filled with best practices for deployments, hardware sizing, architecting the database machine environments for maximum availability, and backup and recovery. Oracle Database 11gR2 features used within these offerings, as well as migration options and paths for Oracle and non-Oracle databases to Oracle Exadata are covered. This Oracle Press guide also discusses architecture, administration, maintenance, monitoring, and tuning of Oracle Exadata Storage Servers and the Sun Oracle Database Machine. If your company is considering Exadata, or if you need more horsepower out of your data warehouse, I highly recommend grabbing a copy of this book next week.

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  • SharePoint 2010 Server Configuration Error -> "Cannot connect to database master"

    - by Chrish Riis
    I recieve the following error when I try to configure SharePoint 2010 Server: "Cannot connect to the database master at SQL server at [computer.domain]. The database might not exist, or the current user does not have permission to connect to it." I run the following setup: Windows Server 2008 R2 Standard with SP1 and all the updates SQL Server 2008 R2 with SP1 SharePoint Server 2010 with SP1 Everything is installed on the same server (it's a testserver) I have tried the following: Rebooting the server Checking the install account's DB rights (dbcreator, securityadmin - I even let it have sysadmin) Opened up the firewall on port 1433 and 1434 Uninstalled both SQL and SP, then reinstalled the both Enabled all client protocols in SQL Server Configuration Made sure I used the correct account for installing SharePoint (local admin) Useful links: TCP/IP settings – http:// blog.vanmeeuwen-online.nl/2010/10/cannot-connect-to-database-master-at.html http:// ybbest.wordpress.com/2011/04/22/cannot-connect-to-database-master-at-sql-server-at-sql2008r2/ Wrong slash - http:// yakimadev.com/2010/11/cannot-connect-to-database-master-at-sql-server-at-serverdbname-error-during-sharepoint-2010-products-configuration-wizard-and-installation/ Port error - http:// www.knowsharepoint.com/2011/08/error-connecting-to-database-server.html

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  • Best practices when creating/modeling databases?

    - by Oscar Mederos
    Hello, I learned at the University some steps to model a database: Model the problem using the Extended Entity-Relationship Model. Extract the functional dependencies Apply some algorithms to normalize the database (3NF or Boyce-Codd) Create the database I'm studying Computer Science and since I received that course I'm wondering if I always need to do those steps when creating a complex database for an specified problem. For example, do PHP / .NET / .. programmers always do that? or there are some tools to simplify that process, maybe using another way of represent the problem instead of the EERM?

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