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• MVC: Why put the business logic in the model? What happens when I've multiple types of storage?

  - by Steffen Winkler

  I always thought that the business logic has to be in the controller and that the controller, since it is the 'middle' part, stays static and that the model/view have to be capsuled via interfaces, that way you could change the business logic without affecting anything else, program multiple Models (one for each database/type of storage) and a dozens of views (for different platforms for example). Now I read in this question that you should always put the business logic into the model and that the controller is deeply connected with the view. To me, that doesn't really make sense and implies that each time I want to have the means of supporting another database/type of storage I've to rewrite my whole model including the business logic. And if I want another view, I've to rewrite both the view and the controller. May someone explain why that is or if I went wrong somewhere? Currently, that whole thing doesn't really make sense to me.

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• Report: Novell Linux Appliances Boost Ingres over MySQL

  Novell partners with database vendor Ingres to make it easier to build and deploy software appliances -- but what about MySQL?

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• Saving game data to server [on hold]

  - by Eugene Lim

  What's the best method to save the player's data to the server? Method to store the game saves Which one of the following method should I use ? Using a database structure(e.g.. mySQL) to store the game data as blobs? Using the server hard disk to store the saved game data as binary data files? Method to send saved game data to server What method should I use ? socketIO web socket a web-based scripting language to receive the game data as binary? for example, a php script to handle binary data and save it to file Meta-data I read that some games store saved game meta-data in database structures. What kind of meta data is useful to store?

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• Outlook Synchronizing and Internet Maps in the Access 2007 Contacts Template

  Garry Robinson demonstrates an Access 2007 template feature that integrates your database with your Outlook contacts.

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• SQLAuthority News – Scaling Up Your Data Warehouse with SQL Server 2008 R2

  - by pinaldave

  Data Warehouses are suppose to be containing huge amount of the data from the beginning. However, there are cases when too big is not enough. Every Data Warehouse Admin will agree that they have faced situation where they will need to scale up their data warehouse. Microsoft has released white paper discussing the same. Here is the abstract from the Microsoft Official site: SQL Server 2008 introduced many new functional and performance improvements for data warehousing, and SQL Server 2008 R2 includes all these and more. This paper discusses how to use SQL Server 2008 R2 to get great performance as your data warehouse scales up. We present lessons learned during extensive internal data warehouse testing on a 64-core HP Integrity Superdome during the development of the SQL Server 2008 release, and via production experience with large-scale SQL Server customers. Our testing indicates that many customers can expect their performance to nearly double on the same hardware they are currently using, merely by upgrading to SQL Server 2008 R2 from SQL Server 2005 or earlier, and compressing their fact tables. We cover techniques to improve manageability and performance at high-scale, encompassing data loading (extract, transform, load), query processing, partitioning, index maintenance, indexed view (aggregate) management, and backup and restore. Scaling Up Your Data Warehouse with SQL Server 2008 R2 Reference: Pinal Dave (http://blog.SQLAuthority.com)   Filed under: PostADay, SQL, SQL Authority, SQL Documentation, SQL Download, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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• Fixing DBCC CHECKDB Msg 8992 Errors

  Returning author Wayne Sheffield recently had some database corruption - read about how it was fixed.

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• Flexible virtualization infrastructure Design with libvirt

  - by Lessfoe

  I'm going to install a CentOS6 Server with Virtualization ( libvirtd ) capabilities on a DELL Server with Hardware RAID5 of around 6T of disk space ( It has 4x2T disks in a PERC700 RAID Controller ). I'm going then to install some guests which requires few resources except one that needs 500GB of disk space, 8/16GB of RAM and good performances. I was thinking about file images for guests storage but I'm not sure about the 500GB VM what needs good performances so that an LVM device could be better. So my question is what would be the best layout concerning: RAID setup ( RAID5, RAID1 + 1 disk for OS only. ) disk partitioning ( using the entire disk/ leave free space for future use and extending it with LVM ) guests storage management ( LVM devices or file images ( considering the 500GB VM that is performance demanding ) or mixed ) Where to put guests storage? /var/lib/libvirt/images or maybe in a custom dir separated from system /home/VMs Thanks in advance for any hint.

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• Execute TSQL statement with ExecuteStoreQuery in entity framework 4.0

  - by Jalpesh P. Vadgama

  I was playing with entity framework in recent days and I was searching something that how we can execute TSQL statement in entity framework. And I have found one great way to do that with entity framework ‘ExecuteStoreQuery’ method. It’s executes a TSQL statement against data source given enity framework context and returns strongly typed result. You can find more information about ExcuteStoreQuery from following link. http://msdn.microsoft.com/en-us/library/dd487208.aspx So let’s examine how it works. So Let’s first create a table against which we are going to execute TSQL statement. So I have added a SQL Express database as following. Now once we are done with adding a database let’s add a table called Client like following. Here you can see above Client table is very simple. There are only two fields ClientId and ClientName where ClientId is primary key and ClientName is field where we are going to store client name. Now it’s time to add some data to the table. So I have added some test data like following. Now it’s time to add entity framework model class. So right click project->Add new item and select ADO.NET entity model as following. After clicking on add button a wizard will start it will ask whether we need to create model classes from database or not but we already have our client table ready so I have selected generate from database as following. Once you process further in wizard it will be presented a screen where we can select the our table like following. Now once you click finish it will create model classes with for us. Now we need a gridview control where we need to display those data. So in Default.aspx page I have added a grid control like following. <%@ Page Title="Home Page" Language="C#" MasterPageFile="~/Site.master" AutoEventWireup="true" CodeBehind="Default.aspx.cs" Inherits="EntityFramework._Default" %> <asp:Content ID="HeaderContent" runat="server" ContentPlaceHolderID="HeadContent"> </asp:Content> <asp:Content ID="BodyContent" runat="server" ContentPlaceHolderID="MainContent"> <h2> Welcome to ASP.NET! </h2> <p> To learn more about ASP.NET visit <a href="http://www.asp.net" title="ASP.NET Website">www.asp.net</a>. </p> <p> You can also find <a href="http://go.microsoft.com/fwlink/?LinkID=152368&amp;clcid=0x409" title="MSDN ASP.NET Docs">documentation on ASP.NET at MSDN</a>. <asp:GridView ID="grdClient" runat="server"> </asp:GridView> </p> </asp:Content> Now once we are done with adding Gridview its time to write code for server side. So I have written following code in Page_load event of default.aspx page. protected void Page_Load(object sender, EventArgs e) { if (!Page.IsPostBack) { using (var context = new EntityFramework.TestEntities()) { ObjectResult<Client> result = context.ExecuteStoreQuery<Client>("Select * from Client"); grdClient.DataSource = result; grdClient.DataBind(); } } } Here in the above code you can see that I have written create a object of our entity model and then with the help of the ExecuteStoreQuery method I have execute a simple select TSQL statement which will return a object result. I have bind that object result with gridview to display data. So now we are done with coding.So let’s run application in browser. Following is output as expected. That’s it. Hope you like it. Stay tuned for more..Till then happy programming.

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• Collision detection on a 2D hexagonal grid

  - by SundayMonday

  I'm making a casual grid-based 2D iPhone game using Cocos2D. The grid is a "staggered" hex-like grid consisting of uniformly sized and spaced discs. It looks something like this. I've stored the grid in a 2D array. Also I have a concept of "surrounding" grid cells. Namely the six grid cells surrounding a particular cell (except those on the boundries which can have less than six). Anyways I'm testing some collision detection and it's not working out as well as I had planned. Here's how I currently do collision detection for a moving disc that's approaching the stationary group of discs: Calculate ij-coordinates of grid cell closest to moving cell using moving cell's xy-position Get list of surrounding grid cells using ij-coordinates Examine the surrounding cells. If they're all empty then no collision If we have some non-empty surrounding cells then compare the distance between the disc centers to some minimum distance required for a collision If there's a collision then place the moving disc in grid cell ij So this works but not too well. I've considered a potentially simpler brute force approach where I just compare the moving disc to all stationary discs at each step of the game loop. This is probably feasible in terms of performance since the stationary disc count is 300 max. If not then some space-partitioning data structure could be used however that feels too complex. What are some common approaches and best practices to collision detection in a game like this?

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• Free eBook with SQL Server performance tips and nuggets

  - by Claire Brooking

  I’ve often found that the kind of tips that turn out to be helpful are the ones that encourage me to make a small step outside of a routine. No dramatic changes – just a quick suggestion that changes an approach. As a languages student at university, one of the best I spotted came from outside the lecture halls and ended up saving me time (and lots of huffing and puffing) – the use of a rainbow of sticky notes for well-used pages and letter categories in my dictionary. Simple, but armed with a heavy dictionary that could double up as a step stool, those markers were surprisingly handy. When the Simple-Talk editors told me about a book they were planning that would give a series of tips for developers on how to improve database performance, we all agreed it needed to contain a good range of pointers for big-hitter performance topics. But we wanted to include some of the smaller, time-saving nuggets too. We hope we’ve struck a good balance. The 45 Database Performance Tips eBook covers different tips to help you avoid code that saps performance, whether that’s the ‘gotchas’ to be aware of when using Object to Relational Mapping (ORM) tools, or what to be aware of for indexes, database design, and T-SQL. The eBook is also available to download with SQL Prompt from Red Gate. We often hear that it’s the productivity-boosting side of SQL Prompt that makes it useful for everyday coding. So when a member of the SQL Prompt team mentioned an idea to make the most of tab history, a new feature in SQL Prompt 6 for SQL Server Management Studio, we were intrigued. Now SQL Prompt can save tabs we have been working on in SSMS as a way to maintain an active template for queries we often recycle. When we need to reuse the same code again, we search for our saved tab (and we can also customize its name to speed up the search) to get started. We hope you find the eBook helpful, and as always on Simple-Talk, we’d love to hear from you too. If you have a performance tip for SQL Server you’d like to share, email Melanie on the Simple-Talk team ([email protected]) and we’ll publish a collection in a follow-up post.

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• Using the DAO Generator for PHP and MySQL

  Discover how to generate PHP classes that provide common MySQL database operations using the DAO design pattern.

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• MySQL - ODBC Data Connector

  - by Stuart Brierley

  Having previsouly installed and then configured MySQL, you may now need to install the ODBC Data Connector driver in order to connect to your MySQL database. Following the Splash screen the first thing to choose is the Setup Type for your installation.  As usual I chose custom so that I could see the components that were actually being installed.  In this case the custom set up screen allows you to choose to install the driver and the documentation. Finally you can complete the installation Assuming it completes okay you have now installed the MySQL ODBC driver. My intention for installing all these MySQL components is so that I can now attempt to get BizTalk 2009 talking to the MySQL database for a solution that I am currently working on.  For this I will next be looking at the Community ODBC Adapter.

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• Do url shortening services shorten the id or directly the url?

  - by Tatu Meriläinen

  Assuming the urls are saved to a database where they each have id and the url saved. For example a url www.example.com (let's say with id 1000) would possibly be shortened to www.url.com/c1hd5 etc. Is the url www.example.com shortened to c1hd5 with base64 or similar or are the ids shortened? The 566 id could be shortened like this: 1 = 1, 2 = 2, ... 9 = 9, 10 = a. The 1000 id would be fE if we used every possible letter from a-Z and - _. Is it good idea to use ids from database to shorten urls?

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• Heterogén adatelérés OWB-vel: ODI EE Enterprise ETL

  - by Fekete Zoltán

  Az elozo ketto blogbejegyzéshez kapcsolódva felmerül a kérdés: Hogyan lehet az Oracle Warehouse Builderrel heterogén adatforrásokat elérni? Ajánlott olvasmány: Oracle Warehouse Builder 11gR2: OWB ETL Using ODI Knowledge Modules Természetesen az OWB az Oracle Database Heterogeneous Services-zel ODBC-vel illetve Oracle Gateway-k alkalmazásával eddig is lehetett mindenféle ODBC kompatibilis továbbá mainframe-es adatbázisokat elérni. Oracle Database Gateways: MS SQL Server, Sybase, Teradata, Informix, ODBC, DRDA, APPC, WebSphere MQ, DB2, DB2/400. A megfelelo Application Adapters megvásárlásával lehet csatlakozni az OWB-vel például a következo forrásokhoz: SAP, Oracle E-Business Suite, Peoplesoft, Siebel, Oracle Customer Data Hub (CDH), Universal Customer Master (UCM), Product Information Management (PIM). Az OWB 11gR2-tol kezdve az OWB tudja használni az Oracle Data Integrator Knowledge moduljait a heterogén adatelérésre, ez JDBC-vel illetve más heterogén elérési módokkal. Ajánlott olvasmány: Oracle Warehouse Builder 11gR2: OWB ETL Using ODI Knowledge Modules Letöltés: Oracle Warehouse Builder. BTW az OWB Java-s kliens szoftver Linux-on és Windows-on is használható. A szerver oldal pedig természetesen az Oracle adatbázisban fut: Solaris, Linux, HP-UX, AIX, Windows operációs rendszereken.

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• Using CTAS & Exchange Partition Replace IAS for Copying Partition on Exadata

  - by Bandari Huang

  Usage Scenario: Copy data&index from one partition to another partition in a partitioned table. Solution: Create a partition definition Copy data from one partition to another partiton by 'Insert as select (IAS)' Create a nonpartitioned table by 'Create table as select (CTAS)' Convert a nonpartitioned table into a partition of partitoned table by exchangng their data segments. Rebuild unusable index Exchange Partition Convertion Mutual convertion between a partition (or subpartition) and a nonpartitioned table Mutual convertion between a hash-partitioned table and a partition of a composite *-hash partitioned table Mutual convertiton a [range | list]-partitioned table into a partition of a composite *-[range | list] partitioned table. Exchange Partition Usage Scenario High-speed data loading of new, incremental data into an existing partitioned table in DW environment Exchanging old data partitions out of a partitioned table, the data is purged from the partitioned table without actually being deleted and can be archived separately Exchange Partition Syntax ALTER TABLE schema.table EXCHANGE [PARTITION|SUBPARTITION] [partition|subprtition] WITH TABLE schema.table [INCLUDE|EXCLUDING] INDEX [WITH|WITHOUT] VALIDATION UPDATE [INDEXES|GLOBAL INDEXES] INCLUDING | EXCLUDING INDEXES Specify INCLUDING INDEXES if you want local index partitions or subpartitions to be exchanged with the corresponding table index (for a nonpartitioned table) or local indexes (for a hash-partitioned table). Specify EXCLUDING INDEXES if you want all index partitions or subpartitions corresponding to the partition and all the regular indexes and index partitions on the exchanged table to be marked UNUSABLE. If you omit this clause, then the default is EXCLUDING INDEXES. WITH | WITHOUT VALIDATION Specify WITH VALIDATION if you want Oracle Database to return an error if any rows in the exchanged table do not map into partitions or subpartitions being exchanged. Specify WITHOUT VALIDATION if you do not want Oracle Database to check the proper mapping of rows in the exchanged table. If you omit this clause, then the default is WITH VALIDATION.  UPADATE INDEX|GLOBAL INDEX Unless you specify UPDATE INDEXES, the database marks UNUSABLE the global indexes or all global index partitions on the table whose partition is being exchanged. Global indexes or global index partitions on the table being exchanged remain invalidated. (You cannot use UPDATE INDEXES for index-organized tables. Use UPDATE GLOBAL INDEXES instead.) Exchanging Partitions&Subpartitions Notes Both tables involved in the exchange must have the same primary key, and no validated foreign keys can be referencing either of the tables unless the referenced table is empty.  When exchanging partitioned index-organized tables: – The source and target table or partition must have their primary key set on the same columns, in the same order. – If key compression is enabled, then it must be enabled for both the source and the target, and with the same prefix length. – Both the source and target must be index organized. – Both the source and target must have overflow segments, or neither can have overflow segments. Also, both the source and target must have mapping tables, or neither can have a mapping table. – Both the source and target must have identical storage attributes for any LOB columns. 

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• JPA and NoSQL using EclipseLink - MongoDB supported

  - by arungupta

  EclipseLink 2.4 has added JPA support for NoSQL databases, MongoDB and Oracle NoSQL are the first ones to make the cut. The support to other NoSQL database can be extended by adding a EclipseLink EISPlatform class and a JCA adapter. A Java class can be mapped to a NoSQL datasource using the @NoSQL annotation or <no-sql> XML element. Even a subset of JPQL and the Criteria API are supported, dependent on the NoSQL database's query support. The connection properties are specified in "persistence.xml". A complete sample showing how JPA annotations are mapping and using @NoSQL is explained here. The MongoDB-version of the source code can also be checked out from the SVN repository. EclipseLink 2.4 is scheduled to be released with Eclipse Juno in June 2012 and the complete set of supported features is described on their wiki. The milestone and nightly builds are already available. Do you want to try with GlassFish and let us know ?

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• Real-time Big Data Analytics is a reality for StubHub with Oracle Advanced Analytics

  - by Mark Hornick

  What can you use for a comprehensive platform for real-time analytics? How can you process big data volumes for near-real-time recommendations and dramatically reduce fraud? Learn in this video what Stubhub achieved with Oracle R Enterprise from the Oracle Advanced Analytics option to Oracle Database, and read more on their story here. Advanced analytics solutions that impact the bottom line of a business are challenging due to the range of skills and individuals involved in realizing such solutions. While we hear a lot about the role of the data scientist, that role is but one piece of the puzzle. Advanced analytics solutions also have an operationalization aspect that also requires close proximity to where the transactional activity occurs. The data scientist needs access to the right data with which to model the business problem. This involves IT for data collection, management, and administration, as well as ensuring zero downtime (a website needs to be up 24x7). This also involves working with the data scientist to keep predictive models refreshed with the latest scripts. Integrating advanced analytics solutions into enterprise apps involves not just generating predictions, but supporting the whole life-cycle from data collection, to model building, model assessment, and then outcome assessment and feedback to the model building process again. Application and web interface designers need to take into account how end users will see and use the advanced analytics results, e.g., supporting operations staff that need to handle the potentially fraudulent transactions. As just described, advanced analytics projects can be "complicated" from just a human perspective. The extent to which software can simplify the interactions among users and systems will increase the likelihood of project success. The ability to quickly operationalize advanced analytics projects and demonstrate measurable value, means the difference between a successful project and just a nice research report. By standardizing on Oracle Database and SQL invocation of R, along with in-database modeling as found in Oracle Advanced Analytics, expedient model deployment and zero downtime for refreshing models becomes a reality. Meanwhile, data scientists are also able to explore leading edge techniques available in open source. The Oracle solution propels the entire organization forward to realize the value of advanced analytics.

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• Data Storage Options

  - by Kenneth

  When I was working as a website designer/engineer I primarily used databases for storage of much of my dynamic data. It was very easy and convenient to use this method and seemed like a standard practice from my research on the matter. I'm now working on shifting away from websites and into desktop applications. What are the best practices for data storage for desktop applications? I ask because I have noticed that most programs I use on a personal level don't appear to use a database for data storage unless its embedded in the program. (I'm not thinking of an application like a word processor where it makes sense to have data stored in individual files as defined by the user. Rather I'm thinking of something more along the lines of a calendar application which would need to store dates and event info and such where accessing that information would be much easier if stored in a database... at least as far as my experience would indicate.) Thanks for the input!

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• Outlook Linked Tables and a Flutter on The Stock Market

  Garry Robinson demonstrates how you can get a series of email subject line headers into a database table.

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• Solid State Drives Find Way to Enterprise Apps

  SSDs can improve database and file system performance, but various issues msut be addressed to make the most of the pricey drives.

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• Methods to Manage/Document "one-off" Reports

  - by Jason Holland

  I'm a programmer that also does database stuff and I get a lot of so-called one-time report requests and recurring report requests. I work at a company that has a SQL Server database that we integrate third-party data with and we also have some third-party vendors that we have to use their proprietary reporting system to extract data in flat file format from that we don't integrate into SQL Server for security reasons. To generate many of these reports I have to query data from various systems, write small scripts to combine data from the separate systems, cry, pull my hair, curse the last guy's name that made the report before me, etc. My question is, what are some good methods for documenting the steps taken to generate these reports so the next poor soul that has to do them won't curse my name? As of now I just have a folder with subfolders per project with the selects and scripts that generated the last report but that seems like a "poor man's" solution. :)

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• Resize NTFS System Partition on Perc 6/i RAID

  - by Cipher42

  I've inherited a Dell server that is running out of space on C:. I'd like to quickly and painlessly resize the C drive with partitioning software. However, the RAID card is causing me some troubles. I've resized plenty of desktops in my time, but never a server with hardware RAID. Can anyone recommend software that is GUARANTEED to work with the Dell PERC 6/i? Hopefully someone has resized the system partition with this RAID card before! :) Of course, proper backups are available but I'd be more comfortable with a tried and true solution to save the headache of the restore.... Thanks in advance!

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• Oracle E-Business Suite 12 Certified on Additional Linux Platforms

  - by John Abraham

  As a follow up to our original certification announcement regarding Oracle Linux 6, Oracle E-Business Suite Release 12 (12.1.1 and higher) is now certified on the following additional Linux x86/x86-64 operating systems: Oracle Linux 6 (32-bit) Red Hat Enterprise Linux 6 (32-bit) Red Hat Enterprise Linux 6 (64-bit) Novell SUSE Linux Enterprise Server (SLES) version 11 (64-bit) New installations of the E-Business Suite on these operating systems require version 12.1.1 of the Release 12 media.  Cloning of existing 12.1 Linux environments to this new OS is also certified using the standard Rapid Clone process. There are specific requirements to upgrade technology components such as the Oracle Database (to 11gR2) and Fusion Middleware as necessary. These and other requirements are noted in the Installation and Upgrade Notes (IUN) below. References Oracle E-Business Suite Installation and Upgrade Notes Release 12 (12.1.1) for Linux x86-64 (My Oracle Support Document 761566.1) Oracle E-Business Suite Installation and Upgrade Notes Release 12 (12.1.1) for Linux x86 (My Oracle Support Document 761564.1) Cloning Oracle Applications Release 12 with Rapid Clone (My Oracle Support Document 406982.1) Interoperability Notes Oracle E-Business Suite Release 12 with Oracle Database 11g Release 2 (11.2.0) (My Oracle Support Document 1058763.1) Oracle Linux website

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• Securing User Account Details with MySQL

  - by Antoinette O'Sullivan

  Keeping user account details secure is always at the forefront of a Database Administrator's mind. However, users want to get up and running as soon as possible without complex login procedures. You can learn more about this and many other topics in the MySQL for Database Administrator course. For example, MySQL 5.6.6 introduced a new utility: mysql_config_editor, which makes secure access via MySQL client applications much easier to establish, while still providing a good measure of security. The mysql_config_editor stores a user's authentication details in an encrypted login file called mylogin.cnf. This login file is readable and writable for the user who invokes the utility, and invisible to everyone else. You can use it to collect all your hard-to-remember server locations and paswords safe in the knowledge that your passwords are never invoked using clear text. The MySQL for Database Administrators course is a 5-day instructor-led course which is available as a: Training-on-Demand: Start training within 24 hours of registration, following lecture material at your own pace through streaming video and booking time on a lab environment to suit your schedule. Live-Virtual Event: Attend a live event from your own desk, choosing from a selection of events on the schedule to suit different timezones. In-Class Event: Travel to an education center to attend this course. Below is a selection of the events already on the schedule. Location  Date  Delivery Language  Brisbane, Australia  18 August 2014  English  Brussels, Belgium  25 August 2014  English  Sao Paulo, Brazil  2 June 2014  Brazilian Portuguese  Cairo, Egypt  28 September 2014  Arabic  London, England  14 July 2014  English  Belfast, Ireland  15 September 2014  English  Dublin, Ireland  29 September 2014  English  Rome, Italy  16 June 2014  Italian  Seoul, Korea  9 June 2014  Korean  Petaling Jaya, Malaysia  16 June 2014  English  Utrecht, Netherlands  25 August 2014  English  Edinburgh, Scotland  26 June 2014  English  Madrid, Spain  6 October 2014  Spanish  Tunis, Tunisia  27 October 2014  French  Istanbul, Turkey  14 July 2014  Turkish To register for an event, request an additional event or learn more about the authentic MySQL curriculum, go to http://education.oracle.com/mysql. To read more about MySQL security, consult the MySQL Reference Manual - http://dev.mysql.com/doc/refman/5.6/en/security.html.

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• SSAS: Utility to check you have the correct data types and sizes in your cube definition

  - by DrJohn

  This blog describes a tool I developed which allows you to compare the data types and data sizes found in the cube’s data source view with the data types/sizes of the corresponding dimensional attribute.  Why is this important?  Well when creating named queries in a cube’s data source view, it is often necessary to use the SQL CAST or CONVERT operation to change the data type to something more appropriate for SSAS.  This is particularly important when your cube is based on an Oracle data source or using custom SQL queries rather than views in the relational database.   The problem with BIDS is that if you change the underlying SQL query, then the size of the data type in the dimension does not update automatically.  This then causes problems during deployment whereby processing the dimension fails because the data in the relational database is wider than that allowed by the dimensional attribute. In particular, if you use some string manipulation functions provided by SQL Server or Oracle in your queries, you may find that the 10 character string you expect suddenly turns into an 8,000 character monster.  For example, the SQL Server function REPLACE returns column with a width of 8,000 characters.  So if you use this function in the named query in your DSV, you will get a column width of 8,000 characters.  Although the Oracle REPLACE function is far more intelligent, the generated column size could still be way bigger than the maximum length of the data actually in the field. Now this may not be a problem when prototyping, but in your production cubes you really should clean up this kind of thing as these massive strings will add to processing times and storage space. Similarly, you do not want to forget to change the size of the dimension attribute if your database columns increase in size. Introducing CheckCubeDataTypes Utiltity The CheckCubeDataTypes application extracts all the data types and data sizes for all attributes in the cube and compares them to the data types and data sizes in the cube’s data source view.  It then generates an Excel CSV file which contains all this metadata along with a flag indicating if there is a mismatch between the DSV and the dimensional attribute.  Note that the app not only checks all the attribute keys but also the name and value columns for each attribute. Another benefit of having the metadata held in a CSV text file format is that you can place the file under source code control.  This allows you to compare the metadata of the previous cube release with your new release to highlight problems introduced by new development. You can download the C# source code from here: CheckCubeDataTypes.zip A typical example of the output Excel CSV file is shown below - note that the last column shows a data size mismatch by TRUE appearing in the column

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