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• SQL SERVER – CSVExpress and Quick Data Load

  - by pinaldave

  One of the newest ETL tools is CSVexpress.com.  This is a program that can quickly load any CSV file into ODBC compliant databases uses data integration.  For those of you familiar with databases and how they operate, the question that comes to mind might be what use this program will have in your life. I have written earlier article on this subject over here SQL SERVER – Import CSV into Database – Transferring File Content into a Database Table using CSVexpress. You might know that RDBMS have automatic support for loading CSV files into tables – but it is not quite as easy as one click of a button.  First of all, most databases have a command line interface and you need the file and configuration script in order to load up.  You also need to know enough to write the script – which for novices can be extremely daunting.  On top of all this, if you work with more than one type of RDBMS, you need to know the ins and outs of uploading and writing script for more than one program. So you might begin to see how useful CSVexpress.com might be!  There are many other tools that enable uploading files to a database.  They can be very fancy – some can generate configuration files automatically, others load the data directly.  Again, novices will be able to tell you why these aren’t the most useful programs in the world.  You see, these programs were created with SQL in mind, not for uploading data.  If you don’t have large amounts of data to upload, getting the configurations right can be a long process and you will have to check the code that is generated yourself.  Not exactly “easy to use” for novices. That makes CSVexpress.com one of the best new tools available for everyone – but especially people who don’t want to learn a lot of new material all at once.  CSVexpress has an easy to navigate graphical user interface and no scripting or coding is required.  There are built-in constraints and data validations, and you can configure transforms and reject records right there on the screen.  But the best thing of all – it’s free! That’s right, you can download CSVexpress for free from www.csvexpress.com and start easily uploading and configuring riles almost immediately.  If you’re currently happy with your method of data configuration, keep up with the good work.  For the rest of us, there’s CSVexpress.com. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQL Utility, T SQL, Technology

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• Can you over-normalize?

  - by drsql

  Now, don’t get too excited and grab your pitchforks and torches. Clearly, it is extremely possible to overdo something in the design, but very often normalization takes the rap as being the culprit. In my “Database Design Fundamentals” presentation, one of my favorite things to do is ask “What is the most important normal form?” 9 out of 10 times, someone answers “Third”. When I ask what they have against fourth, the usually say that it makes the database work too slow. But when they find out that...(read more)

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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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• Harness MySQL's Continued Performance Tuning Improvements

  - by Antoinette O'Sullivan

  To fully harness the continued improvements in performance tuning you get with MySQL, take the MySQL Performance Tuning course. This 4 day class teaches you practical, safe, highly efficient ways to optimize performance for the MySQL Server. You will learn the skills needed to use tools for monitoring, evaluating and tuning.  You can take this course in the following three ways: Training-on-Demand: Follow this course at your own pace and from your own desk with streaming video of instructor delivery and booking time to follow hands-on exercises at your own convenience. Live-Virtual: Attend a live instructor-led event from your own desk. Choose from the numerous events on the schedule. In-Class:  Travel to an education center to follow this class. A sample of events on the schedule is shown below:  Location  Date  Delivery Language  Tokyo, Japan  19 November 2012  Japanese  Mechelen, Belgium  4 February 2013  English  London, England  19 November 2012  English  Budapest, Hungary  21 May 2013  Hungarian  Milan, Italy  14 January 2013  Italian  Rome, Italy  3 December 2012  Italian  Riga, Latvia  10 December 2012  Latvian  Amsterdam, Netherlands  7 January 2013  Dutch  Nieuwegein, Netherlands  26 November 2012  Dutch  Warsaw, Poland  3 December 2012  Polish  Lisbon, Portugal  4 February 2013  European Portugese  Porto, Portugal  4 February 2013  European Portugese  Barcelona, Spain  25 March 2013  Spanish  Madrid, Spain  17 December 2012  Spanish  Sydney, Australia  26 November 2012  English  Edmonton, Canada  10 December 2012  English  Montreal, Canada  26 November 2012  English  Ottawa, Canada  26 November 2012  English  Toronto, Canada  26 November 2012  English  Vancouver, Canada  10 December 2012  English  Sao Paolo, Brazil  26 November 2012  Brazilan Portugese For more information on this class or to know more about other courses on the authentic MySQL curriculum. see http://oracle.com/education/mysql. Note, many organizations deploy both Oracle Database and MySQL side by side to serve different needs, and as a database professional you can find training courses on both topics at Oracle University! Check out the upcoming Oracle Database training courses and MySQL training courses. Even if you're only managing Oracle Databases at this point of time, getting familiar with MySQL will broaden your career path with growing job demand.

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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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• 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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• System Variables, Stored Procedures or Functions for Meta Data

  - by BuckWoody

  Whenever you want to know something about SQL Server’s configuration, whether that’s the Instance itself or a database, you have a few options. If you want to know “dynamic” data, such as how much memory or CPU is consumed or what a particular query is doing, you should be using the Dynamic Management Views (DMVs) that you can read about here: http://msdn.microsoft.com/en-us/library/ms188754.aspx  But if you’re looking for how much memory is installed on the server, the version of the Instance, the drive letters of the backups and so on, you have other choices. The first of these are system variables. You access these with a SELECT statement, and they are useful when you need a discrete value for use, say in another query or to put into a table. You can read more about those here: http://msdn.microsoft.com/en-us/library/ms173823.aspx You also have a few stored procedures you can use. These often bring back a lot more data, pre-formatted for the screen. You access these with the EXECUTE syntax. It is a bit more difficult to take the data they return and get a single value or place the results in another table, but it is possible. You can read more about those here: http://msdn.microsoft.com/en-us/library/ms187961.aspx Yet another option is to use a system function, which you access with a SELECT statement, which also brings back a discrete value that you can use in a test or to place in another table. You can read about those here: http://msdn.microsoft.com/en-us/library/ms187812.aspx  By the way, many of these constructs simply query from tables in the master or msdb databases for the Instance or the system tables in a user database. You can get much of the information there as well, and there are even system views in each database to show you the meta-data dealing with structure – more on that here: http://msdn.microsoft.com/en-us/library/ms186778.aspx  Some of these choices are the only way to get at a certain piece of data. But others overlap – you can use one or the other, they both come back with the same data. So, like many Microsoft products, you have multiple ways to do the same thing. And that’s OK – just research what each is used for and how it’s intended to be used, and you’ll be able to select (pun intended) the right choice. Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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• New Replication, Optimizer and High Availability features in MySQL 5.6.5!

  - by Rob Young

  As the Product Manager for the MySQL database it is always great to announce when the MySQL Engineering team delivers another great product release.  As a field DBA and developer it is even better when that release contains improvements and innovation that I know will help those currently using MySQL for apps that range from modest intranet sites to the most highly trafficked web sites on the web.  That said, it is my pleasure to take my hat off to MySQL Engineering for today's release of the MySQL 5.6.5 Development Milestone Release ("DMR"). The new highlighted features in MySQL 5.6.5 are discussed here: New Self-Healing Replication ClustersThe 5.6.5 DMR improves MySQL Replication by adding Global Transaction Ids and automated utilities for self-healing Replication clusters.  Prior to 5.6.5 this has been somewhat of a pain point for MySQL users with most developing custom solutions or looking to costly, complex third-party solutions for these capabilities.  With 5.6.5 these shackles are all but removed by a solution that is included with the GPL version of the database and supporting GPL tools.  You can learn all about the details of the great, problem solving Replication features in MySQL 5.6 in Mat Keep's Developer Zone article.  New Replication Administration and Failover UtilitiesAs mentioned above, the new Replication features, Global Transaction Ids specifically, are now supported by a set of automated GPL utilities that leverage the new GTIDs to provide administration and manual or auto failover to the most up to date slave (that is the default, but user configurable if needed) in the event of a master failure. The new utilities, along with links to Engineering related blogs, are discussed in detail in the DevZone Article noted above. Better Query Optimization and ThroughputThe MySQL Optimizer team continues to amaze with the latest round of improvements in 5.6.5. Along with much refactoring of the legacy code base, the Optimizer team has improved complex query optimization and throughput by adding these functional improvements: Subquery Optimizations - Subqueries are now included in the Optimizer path for runtime optimization.  Better throughput of nested queries enables application developers to simplify and consolidate multiple queries and result sets into a single unit or work. Optimizer now uses CURRENT_TIMESTAMP as default for DATETIME columns - For simplification, this eliminates the need for application developers to assign this value when a column of this type is blank by default. Optimizations for Range based queries - Optimizer now uses ready statistics vs Index based scans for queries with multiple range values. Optimizations for queries using filesort and ORDER BY.  Optimization criteria/decision on execution method is done now at optimization vs parsing stage. Print EXPLAIN in JSON format for hierarchical readability and Enterprise tool consumption. You can learn the details about these new features as well all of the Optimizer based improvements in MySQL 5.6 by following the Optimizer team blog. You can download and try the MySQL 5.6.5 DMR here. (look under "Development Releases")  Please let us know what you think!  The new HA utilities for Replication Administration and Failover are available as part of the MySQL Workbench Community Edition, which you can download here .Also New in MySQL LabsAs has become our tradition when announcing DMRs we also like to provide "Early Access" development features to the MySQL Community via the MySQL Labs.  Today is no exception as we are also releasing the following to Labs for you to download, try and let us know your thoughts on where we need to improve:InnoDB Online OperationsMySQL 5.6 now provides Online ADD Index, FK Drop and Online Column RENAME.  These operations are non-blocking and will continue to evolve in future DMRs.  You can learn the grainy details by following John Russell's blog.InnoDB data access via Memcached API ("NotOnlySQL") - Improved refresh of an earlier feature releaseSimilar to Cluster 7.2, MySQL 5.6 provides direct NotOnlySQL access to InnoDB data via the familiar Memcached API. This provides the ultimate in flexibility for developers who need fast, simple key/value access and complex query support commingled within their applications.Improved Transactional Performance, ScaleThe InnoDB Engineering team has once again under promised and over delivered in the area of improved performance and scale.  These improvements are also included in the aggregated Spring 2012 labs release:InnoDB CPU cache performance improvements for modern, multi-core/CPU systems show great promise with internal tests showing:    2x throughput improvement for read only activity 6x throughput improvement for SELECT range Read/Write benchmarks are in progress More details on the above are available here. You can download all of the above in an aggregated "InnoDB 2012 Spring Labs Release" binary from the MySQL Labs. You can also learn more about these improvements and about related fixes to mysys mutex and hash sort by checking out the InnoDB team blog.MySQL 5.6.5 is another installment in what we believe will be the best release of the MySQL database ever.  It also serves as a shining example of how the MySQL Engineering team at Oracle leads in MySQL innovation.You can get the overall Oracle message on the MySQL 5.6.5 DMR and Early Access labs features here. As always, thanks for your continued support of MySQL, the #1 open source database on the planet!

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• July, the 31 Days of SQL Server DMO’s – Day 26 (sys.dm_db_log_space_usage)

  - by Tamarick Hill

  The sys.dm_db_log_space_usage DMV is a new DMV for SQL Server 2012. It returns Total Size, Used Size, and Used Percent size for a transaction log file of a given database. To illustrate this DMV, I will query the DMV against my AdventureWorks2012 database. SELECT * FROM sys.dm_db_log_space_usage As mentioned above, the result set gives us the total size of the transaction log in bytes, the used size of the log in bytes, and the percent of the log that has been used. This is a very simplistic DMV but returns valuable information. Being able to detect when a transaction log is close to being full is always a valuable thing to alert on, and this DMV just provided an additional method for acquiring the necessary information. Follow me on Twitter @PrimeTimeDBA

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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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• Testing Workflows &ndash; Test-After

  - by Timothy Klenke

  Originally posted on: http://geekswithblogs.net/TimothyK/archive/2014/05/30/testing-workflows-ndash-test-after.aspxIn this post I’m going to outline a few common methods that can be used to increase the coverage of of your test suite.  This won’t be yet another post on why you should be doing testing; there are plenty of those types of posts already out there.  Assuming you know you should be testing, then comes the problem of how do I actual fit that into my day job.  When the opportunity to automate testing comes do you take it, or do you even recognize it? There are a lot of ways (workflows) to go about creating automated tests, just like there are many workflows to writing a program.  When writing a program you can do it from a top-down approach where you write the main skeleton of the algorithm and call out to dummy stub functions, or a bottom-up approach where the low level functionality is fully implement before it is quickly wired together at the end.  Both approaches are perfectly valid under certain contexts. Each approach you are skilled at applying is another tool in your tool belt.  The more vectors of attack you have on a problem – the better.  So here is a short, incomplete list of some of the workflows that can be applied to increasing the amount of automation in your testing and level of quality in general.  Think of each workflow as an opportunity that is available for you to take. Test workflows basically fall into 2 categories:  test first or test after.  Test first is the best approach.  However, this post isn’t about the one and only best approach.  I want to focus more on the lesser known, less ideal approaches that still provide an opportunity for adding tests.  In this post I’ll enumerate some test-after workflows.  In my next post I’ll cover test-first. Bug Reporting When someone calls you up or forwards you a email with a vague description of a bug its usually standard procedure to create or verify a reproduction plan for the bug via manual testing and log that in a bug tracking system.  This can be problematic.  Often reproduction plans when written down might skip a step that seemed obvious to the tester at the time or they might be missing some crucial environment setting. Instead of data entry into a bug tracking system, try opening up the test project and adding a failing unit test to prove the bug.  The test project guarantees that all aspects of the environment are setup properly and no steps are missing.  The language in the test project is much more precise than the English that goes into a bug tracking system. This workflow can easily be extended for Enhancement Requests as well as Bug Reporting. Exploratory Testing Exploratory testing comes in when you aren’t sure how the system will behave in a new scenario.  The scenario wasn’t planned for in the initial system requirements and there isn’t an existing test for it.  By definition the system behaviour is “undefined”. So write a new unit test to define that behaviour.  Add assertions to the tests to confirm your assumptions.  The new test becomes part of the living system specification that is kept up to date with the test suite. Examples This workflow is especially good when developing APIs.  When you are finally done your production API then comes the job of writing documentation on how to consume the API.  Good documentation will also include code examples.  Don’t let these code examples merely exist in some accompanying manual; implement them in a test suite. Example tests and documentation do not have to be created after the production API is complete.  It is best to write the example code (tests) as you go just before the production code. Smoke Tests Every system has a typical use case.  This represents the basic, core functionality of the system.  If this fails after an upgrade the end users will be hosed and they will be scratching their heads as to how it could be possible that an update got released with this core functionality broken. The tests for this core functionality are referred to as “smoke tests”.  It is a good idea to have them automated and run with each build in order to avoid extreme embarrassment and angry customers. Coverage Analysis Code coverage analysis is a tool that reports how much of the production code base is exercised by the test suite.  In Visual Studio this can be found under the Test main menu item. The tool will report a total number for the code coverage, which can be anywhere between 0 and 100%.  Coverage Analysis shouldn’t be used strictly for numbers reporting.  Companies shouldn’t set minimum coverage targets that mandate that all projects must have at least 80% or 100% test coverage.  These arbitrary requirements just invite gaming of the coverage analysis, which makes the numbers useless. The analysis tool will break down the coverage by the various classes and methods in projects.  Instead of focusing on the total number, drill down into this view and see which classes have high or low coverage.  It you are surprised by a low number on a class this is an opportunity to add tests. When drilling through the classes there will be generally two types of reaction to a surprising low test coverage number.  The first reaction type is a recognition that there is low hanging fruit to be picked.  There may be some classes or methods that aren’t being tested, which could easy be.  The other reaction type is “OMG”.  This were you find a critical piece of code that isn’t under test.  In both cases, go and add the missing tests. Test Refactoring The general theme of this post up to this point has been how to add more and more tests to a test suite.  I’ll step back from that a bit and remind that every line of code is a liability.  Each line of code has to be read and maintained, which costs money.  This is true regardless whether the code is production code or test code. Remember that the primary goal of the test suite is that it be easy to read so that people can easily determine the specifications of the system.  Make sure that adding more and more tests doesn’t interfere with this primary goal. Perform code reviews on the test suite as often as on production code.  Hold the test code up to the same high readability standards as the production code.  If the tests are hard to read then change them.  Look to remove duplication.  Duplicate setup code between two or more test methods that can be moved to a shared function.  Entire test methods can be removed if it is found that the scenario it tests is covered by other tests.  Its OK to delete a test that isn’t pulling its own weight anymore. Remember to only start refactoring when all the test are green.  Don’t refactor the tests and the production code at the same time.  An automated test suite can be thought of as a double entry book keeping system.  The unchanging, passing production code serves as the tests for the test suite while refactoring the tests. As with all refactoring, it is best to fit this into your regular work rather than asking for time later to get it done.  Fit this into the standard red-green-refactor cycle.  The refactor step no only applies to production code but also the tests, but not at the same time.  Perhaps the cycle should be called red-green-refactor production-refactor tests (not quite as catchy).   That about covers most of the test-after workflows I can think of.  In my next post I’ll get into test-first workflows.

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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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• WebCenter Customer Spotlight: Instituto Mexicano de la Propiedad Industrial

  - by me

  Author: Peter Reiser - Social Business Evangelist, Oracle WebCenter  Solution SummaryInstituto Mexicano de la Propiedad Industrial (IMPI) is a decentralized  federal agency with the goals of protecting and ensuring awareness of industrial property rights in Mexico. IMPI  business objectives were to increase efficiency, improve client service, accelerate services to the public and reduce paper use by digitizing management of necessary documentation for patent and trademark submissions and approvals. IMPI  implemented  Oracle WebCenter Content to develop electronic inquiry service by digitizing and managing documents and a public Web site making patent-related information easily available online. With the implemented solution IMPI increased the number of monthly inquires from 200 in person consultations to 80,000 electronic consultations and the number of trademark record inquiries from 30,000 to 300,000. Company OverviewInstituto Mexicano de la Propiedad Industrial (IMPI) is a decentralized federal agency with the goals of protecting and ensuring awareness of industrial property rights in Mexico. IMPI is responsible for registering and publicizing inventions, distinctive signs, trademarks, and patents. In addition to its Mexico City headquarters, IMPI has five regional offices.  Business Challenges IMPI  business objectives were to increase efficiency by automating internal operations and patent and trademark-related procedures and services, improve client service by simplifying patent and trademark procedures, accelerate services to the public and reduce paper use by digitizing management of necessary documentation for patent and trademark submissions and approvals. Solution DeployedIMPI worked with Oracle Consulting to implement Oracle WebCenter Content to develop electronic inquiry service - services that were previously provided in person only - by digitizing and managing documents. They use Oracle Database 11g, Enterprise Edition to manage data for all mission-critical systems, automating patent and trademark transactions, providing consistent, readily available, and accurate data. IMPI developed a Web site to support newly digitized information with simple and flexible interfaces, making patent-related information easily available online to the public. Business ResultsWith the implemented solution IMPI increased the number of monthly inquires  from 200 in person consultations to 80,000 electronic consultations and the number of trademark record inquiries from 30,000 to 300,000. “Oracle WebCenter Content structure is unique. It lets us separately manage communication with other applications and databases, and performs content management itself. It’s a stable tool, at an appropriate cost, that lets us develop and provide reliable electronic services.” Eugenio Ponce de León, Divisional Director of Systems and Technology, Instituto Mexicano de la Propiedad Industrial Additional Information Instituto Mexicano de la Propiedad Customer Snapshot Oracle WebCenter Content

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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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• 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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• 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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• Windows Phone 7 Developer Tools - January 2011 Update

  - by Nikita Polyakov

  Long time no talk? So to make up for it, here is something very new – update to WP7 Dev Tools! The Windows Phone 7 Developer Tools January 2011 Update provides bits that you would install on TOP of the current WP7 Dev tools on your machine. If you are just installing the tools for the first time, this update replaces previously released October patch. In fact, it is no longer available as this January 2011 update replaces the patch entirely. What is in this update? TextBox support for Copy&Paste Updated Emulator Image that contains Copy&Paste for your testing There have been performance tweaks for the OS Minor Bugs and Fixes How does it Work? The Copy&Paste extends a existing TextBox control to have this new functionality, There is no current API access to the Clipboard or support for other controls that are not based on TextBox. If I have/Do I need to: A current application in the marketplace/No action is required Have an application that contains a TextBox in a Pivot or Panorama control surface/Text your application in provided emulator Recommendation is to move TextBox controls from directly top of controls that listen to Gesture movement to their own pop-off screens or entire pages as this might interfear with select behavior for Copy&Paste Have controls that do no inherit from TextBox/Such controls will not get new Copy&Paste behavior Note: The update materials, FAQ and Q&A do not answer WHEN the update for the OS will be sent to the phones.  Also to note - this update does NOT update your developer phone to enable Copy&Paste or any other features. Windows Phone 7 Training Kit February Update Windows Phone Training Kit has also been updated – you can grab a fresh copy here.   Where to I find more good information, documentation and training? This very awesome blog post from the Windows Phone Developer Blog - Windows Phone 7 Documentation Landscape. Official Blog Post on the Update is here. Happy coding! -Nikita   PS: I am well aware that it is Feb 4th and not January :) If you were disappointed at CES that Microsoft said nothing at all about future of WP7, don’t forget that MWC 2011 is Feb 14th – I am going to be listening for Windows Phone announcements then, as that is where the announcements were made about Windows Phone 7.

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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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• 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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• 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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• How to get the revision history of a branch with bzrlib

  - by David Planella

  I'm trying to get a list of committers to a bzr branch. I know I can get it through the command line with something along these lines: bzr log -n0 | grep committer | sed -e 's/^[[:space:]]*committer: //' | uniq However, I'd like to get that list programmatically with bzrlib. After having looked at the bzrlib documentation, I can't manage to find out how I would even get the full list of revisions from my branch. Any hints on how to get the full history of revisions from a branch with bzrlib, or ultimately, the list of committers?

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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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• Fast programmatic compare of "timetable" data

  - by Brendan Green

  Consider train timetable data, where each service (or "run") has a data structure as such: public class TimeTable { public int Id {get;set;} public List<Run> Runs {get;set;} } public class Run { public List<Stop> Stops {get;set;} public int RunId {get;set;} } public class Stop { public int StationId {get;set;} public TimeSpan? StopTime {get;set;} public bool IsStop {get;set;} } We have a list of runs that operate against a particular line (the TimeTable class). Further, whilst we have a set collection of stations that are on a line, not all runs stop at all stations (that is, IsStop would be false, and StopTime would be null). Now, imagine that we have received the initial timetable, processed it, and loaded it into the above data structure. Once the initial load is complete, it is persisted into a database - the data structure is used only to load the timetable from its source and to persist it to the database. We are now receiving an updated timetable. The updated timetable may or may not have any changes to it - we don't know and are not told whether any changes are present. What I would like to do is perform a compare for each run in an efficient manner. I don't want to simply replace each run. Instead, I want to have a background task that runs periodically that downloads the updated timetable dataset, and then compares it to the current timetable. If differences are found, some action (not relevant to the question) will take place. I was initially thinking of some sort of checksum process, where I could, for example, load both runs (that is, the one from the new timetable received and the one that has been persisted to the database) into the data structure and then add up all the hour components of the StopTime, and all the minute components of the StopTime and compare the results (i.e. both the sum of Hours and sum of Minutes would be the same, and differences introduced if a stop time is changed, a stop deleted or a new stop added). Would that be a valid way to check for differences, or is there a better way to approach this problem? I can see a problem that, for example, one stop is changed to be 2 minutes earlier, and another changed to be 2 minutes later would have a net zero change. Or am I over thinking this, and would it just be simpler to brute check all stops to ensure that The updated run stops at the same stations; and Each stop is at the same time

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• SSAS DMVs: useful links

  - by Davide Mauri

  From time to time happens that I need to extract metadata informations from Analysis Services DMVS in order to quickly get an overview of the entire situation and/or drill down to detail level. As a memo I post the link I use most when need to get documentation on SSAS Objects Data DMVs: SSAS: Using DMV Queries to get Cube Metadata http://bennyaustin.wordpress.com/2011/03/01/ssas-dmv-queries-cube-metadata/ SSAS DMV (Dynamic Management View) http://dwbi1.wordpress.com/2010/01/01/ssas-dmv-dynamic-management-view/ Use Dynamic Management Views (DMVs) to Monitor Analysis Services http://msdn.microsoft.com/en-us/library/hh230820.aspx

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