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• Why do programmers use or recommend Mac OS X? [closed]

  - by codingbear

  I've worked on both Mac and Windows for awhile. However, I'm still having a hard time understanding why programmers enthusiastically choose Mac OS X over Windows and Linux? I know that there are programmers who prefer Windows and Linux, but I'm asking the programmers who would just use Mac OS X and nothing else, because they think Mac OS X is the greatest fit for programmers. Some might argue that Mac OS X got the beautiful UI and is nix based, but Linux can do that. Although Windows is not nix based, you can pretty much develop on any platform or language, except Cocoa/Objective-C. Is it the softwares that offer only on Mac OS X? Does that really worth using Mac? Is it to develop iPhone apps? Is it because you need to buy new Windows every 2 years (less backwards compatible)? I understand why people, who are working in multimedia/entertainment industry, would use Mac OS X; however, I don't have strong merits of Mac OS X over Windows. If you develop daily on Mac and prefer Mac over anything else, can you give me a merit that Mac has over Windows/Linux? Maybe something you can do on Mac that cannot be done in Windows/Linux with the same level of ease? I'm not trying to do another Mac vs. Windows here. I tried to find things that I do on Mac that cannot be done on Windows with the same level of ease, but I couldn't. So, I'm asking for some help.

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• Database platform migration from Windows-32bit to Linux-64bit

  - by [email protected]

  We have a customer which have all they core business database on RAC over Windows OS. Last year they were affected by a virus that destroyed the registry and all their RAC environments were "OUT OF ORDER", the result, thousand people on vacation for a day.They were distrustful about Linux and after came an agreement to migrate their Enterprise Manager from Windows to Linux (OMS and Repository). How we did demonstrate how powerful and easy is RMAN to migrate databases across platforms.Fist of check of target platform is available from sourceSQL> select platform_name from v$db_transportable_platform;PLATFORM_NAME-----------------------------------------------------------Microsoft Windows IA (32-bit)Linux IA (32-bit)HP Tru64 UNIXLinux IA (64-bit)HP Open VMSMicrosoft Windows IA (64-bit)Linux 64-bit for AMDMicrosoft Windows 64-bit for AMDSolaris Operating System (x86)Check database object as directories that can change across platforms, also check external tables.Startup source database in read only modeRun the following RMAN ScriptRMAN> connect target / RMAN> convert database on target platform convert script 'c:/temp/convert_grid.rman'transport script 'c:/TEMP/transporta_grid.sql' new database 'gridbd' format 'c:/temp/gridmydb%U' db_file_name_convert 'C:\oracle\oradata\grid','/oracle/gridbd/data2/data';(Notice tha path change on db_file_name_convert)Move from source to target:PfileNew scriptsexternal table filesbfilesdata filesCheck pfile, and ensure that the paths are OKCreate temporary control file to connect rmanExecute the RMAN scriptRMAN> connect target / RMAN> @/home/oracle/pboixeda/win2lnx.rmanShutdown the instance and remove temporary control filesRecreate controlfile/s, take care about the used paths.Execute the transport script, transporta_grid.sqlDue we were moving from a 32-bit architecture to a 64-bit architecture, there is bug reported in 386990.1 note, we had to recreate OLAP , check the note for more details. Alter or Recreate all necessary objects Launch utlrpAfter this experience with Linux they are on the way to migrate all their RAC from 10gR2 on Windows to 11gR2 Linux 64 bit.Hope it helps

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• Force.com presents Database.com SQL Azure/Amazon RDS unfazed

  - by Sarang

  At the DreamForce 2010 event in San Francisco Force.com unveiled their next big thing in the Fat SaaS portfolio "Database.com".  I am still wondering how would they would've shelled out for that domain name. Now why would a already established SaaS player foray into a key building block like Database? Potentially allowing enterprises to build apps that do not utilize the Force.com stack! One key reason is being seen as the Fat SaaS player with evey trick in the SaaS space under his belt. You want CRM come hither, want a custom development PaaS like solution welcome home (VMForce), want all your apps to talk to a cloud DB and minimize latency by having it reside closer to you cloud apps? You've come to the right place sire! Other is potentially killing foray of smaller DB players like Oracle (Not surprisingly, the Database.com offering is a highly customized and scalable Oracle database) from entering the lucrative SaaS db marketplace. The feature set promised looks great out of the box for someone who likes to visualize cool new architectures. The ground realities are certainly going to be a lot different considering the SOAP/REST style access patterns in lieu of the comfortable old shoe of SQL. Microsoft suffered heavily with SDS (SQL Data Services) offering in early 2009 and had to pull the plug on the product only to reintroduce as a simple SQL Server in the cloud, SQL Windows Azure. Though MSFT is playing cool by providing OData semantics to work with SQL Windows Azure satisfying atleast some needs of the Web-Style to a DB. The other features like Social data models including Profiles, Status updates, feeds seem interesting as well. (Although I beleive social is just one of the aspects of large scale collaborative computing). All these features start "Free" for devs its a good news but the good news stops here. The overall pricing model of $ per Users per Transactions / Month is highly disproportionate compared to Amazon RDS (Based on MySQL) or SQL Windows Azure (Based on MSSQL). Roger Jennigs of Oakleaf did an interesting comparo based on 3, 10, 100, 500 users and it turns out that Database.com going by current understanding is way too expensive for the services on offer. The offering may not impact the decision for DotNet shops mulling their cloud stategy or even some Java/MySQL shops thinking about Amazon RDS, however for enterprises having already invested in other force.com offerings this could be a very important piece in the cloud strategy jigsaw. One which would address a key cloud DB issue of "Latency" for them at least it will help having the DB in the neighborhood. The tooling and "SQL like" access provider drivers (Think ODBC/JDBC) will be available later this year. Progress Software has already announced their JDBC driver stack for Database.com. It remains to be seen how effective the overall solutions proves to be in the longer run but for starts its a important decision towards consolidating Force.com's already strong positioning in the SaaS space. As always contrasting views are welcome! :)

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• The C++ Standard Template Library as a BDB Database (part 1)

  - by Gregory Burd

  If you've used C++ you undoubtedly have used the Standard Template Libraries. Designed for in-memory management of data and collections of data this is a core aspect of all C++ programs. Berkeley DB is a database library with a variety of APIs designed to ease development, one of those APIs extends and makes use of the STL for persistent, transactional data storage. dbstl is an STL standard compatible API for Berkeley DB. You can make use of Berkeley DB via this API as if you are using C++ STL classes, and still make full use of Berkeley DB features. Being an STL library backed by a database, there are some important and useful features that dbstl can provide, while the C++ STL library can't. The following are a few typical use cases to use the dbstl extensions to the C++ STL for data storage. When data exceeds available physical memory.Berkeley DB dbstl can vastly improve performance when managing a dataset which is larger than available memory. Performance suffers when the data can't reside in memory because the OS is forced to use virtual memory and swap pages of memory to disk. Switching to BDB's dbstl improves performance while allowing you to keep using STL containers. When you need concurrent access to C++ STL containers.Few existing C++ STL implementations support concurrent access (create/read/update/delete) within a container, at best you'll find support for accessing different containers of the same type concurrently. With the Berkeley DB dbstl implementation you can concurrently access your data from multiple threads or processes with confidence in the outcome. When your objects are your database.You want to have object persistence in your application, and store objects in a database, and use the objects across different runs of your application without having to translate them to/from SQL. The dbstl is capable of storing complicated objects, even those not located on a continous chunk of memory space, directly to disk without any unnecessary overhead. These are a few reasons why you should consider using Berkeley DB's C++ STL support for your embedded database application. In the next few blog posts I'll show you a few examples of this approach, it's easy to use and easy to learn.

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• c++ write own xml parser vs using tinyxml

  - by AdityaGameProgrammer

  Hi , I am currently in a task to generate an XML file for an srt text file containing timestamps and corresponding text. To generate an exe file which accepts file name input and outputs the relevant XML file to be used as part of an automated script. Is it Advisable to use Tinyxml for this? Is this a very simple task that can be done with minimal programming? Is this one of those things which are very basic to c++ programmers? reason i am asking this is I have recently made a shift into c++ programming after over 3 years of action script development. Edit: your comments regarding this are very much appreciated what's the easiest way to generate xml in c++?

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• Scheme vs Common Lisp: war stories

  - by SuperElectric

  There are no shortage of vague "Scheme vs Common Lisp" questions on both StackOverflow and on this site, so I want to make this one more focused. The question is for people who have coded in both languages: While coding in Scheme, what specific elements of your Common Lisp coding experience did you miss most? Or, inversely, while coding in Common Lisp, what did you miss from coding in Scheme? I don't necessarily mean just language features. The following are all valid things to miss, as far as the question is concerned: Specific libraries. Specific features of development environments like SLIME, DrRacket, etc. Features of particular implementations, like Gambit's ability to write blocks of C code directly into your Scheme source. And of course, language features. Examples of the sort of answers I'm hoping for: "I was trying to implement X in Common Lisp, and if I had Scheme's first-class continuations, I totally would've just done Y, but instead I had to do Z, which was more of a pain." "Scripting the build process in my Scheme project got increasingly painful as my source tree grew and I linked in more and more C libraries. For my next project, I moved back to Common Lisp." "I have a large existing C++ codebase, and for me, being able to embed C++ calls directly in my Gambit Scheme code was totally worth any shortcomings that Scheme may have vs Common Lisp, even including lack of SWIG support." So, I'm hoping for war stories, rather than general sentiments like "Scheme is a simpler language" etc.

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• Are there any empirical studies on the effect of different languages on software quality?

  - by jgre

  The proponents of functional programming languages assert that functional programming makes it easier to reason about code. Those in favor of statically typed languages say that their compilers catch enough errors to make up for the additional complexity of type systems. But everything I read on these topics is based on rational argument, not on empirical data. Are there any empirical studies on what effects the different categories of programming languages have on defect rates or other quality metrics? (The answers to this question seem to indicate that there are no such studies, at least not for the dynamic vs. static debate)

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• Monitoring Database disk space

  - by Michael Freidgeim

  An article Data files: To Autogrow Or Not To Autogrow? recommends NOT to rely on auto-grow, because it causing delays in unplanned times.We should mtonitor database files(both data and log), and if they close to max capacity, manually increase the size. However it doesn't give references, how to monitor the free space inside databases. I've tried to look how to do it. It can be done manually using   execute sp_spaceused for the database in question or  sp_SOS (can be downloaded from http://searchsqlserver.techtarget.com/tip/Find-size-of-SQL-Server-tables-and-other-objects-with-stored-procedure)Alternatively you can run SQL commands as suggested in Http://www.sqlteam.com/forums/topic.asp?TOPIC_ID=82359 by Michael Valentine Jonesselect [FREE_SPACE_MB] = convert(decimal(12,2),round((a.size-fileproperty(a.name,'SpaceUsed'))/128.000,2)) from dbo.sysfiles aMore useful article Monitor database file sizes with SQL Server Jobs describes how to setup monitoring Finally I found the excellent articleManaging Database Data Usage With Custom Space Alerts, that can be followed even support personnel without much DBA experience.

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• 12/12 Live Webcast: Introducing Next-Generation Enterprise Auditing and Database Firewall

  - by jgelhaus

  Join Oracle Security gurus to hear how Oracle products monitor Oracle and non-Oracle database traffic, detect unauthorized activity including SQL injection attacks, and block internal and external threats from reaching the database. Hear how organizations such as TransUnion Interactive and SquareTwo Financial rely on Oracle to monitor and secure their Oracle and non-Oracle database environments. Register for the webcast here.

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• SQL SERVER – Core Concepts – Elasticity, Scalability and ACID Properties – Exploring NuoDB an Elastically Scalable Database System

  - by pinaldave

  I have been recently exploring Elasticity and Scalability attributes of databases. You can see that in my earlier blog posts about NuoDB where I wanted to look at Elasticity and Scalability concepts. The concepts are very interesting, and intriguing as well. I have discussed these concepts with my friend Joyti M and together we have come up with this interesting read. The goal of this article is to answer following simple questions What is Elasticity? What is Scalability? How ACID properties vary from NOSQL Concepts? What are the prevailing problems in the current database system architectures? Why is NuoDB  an innovative and welcome change in database paradigm? Elasticity This word’s original form is used in many different ways and honestly it does do a decent job in holding things together over the years as a person grows and contracts. Within the tech world, and specifically related to software systems (database, application servers), it has come to mean a few things - allow stretching of resources without reaching the breaking point (on demand). What are resources in this context? Resources are the usual suspects – RAM/CPU/IO/Bandwidth in the form of a container (a process or bunch of processes combined as modules). When it is about increasing resources the simplest idea which comes to mind is the addition of another container. Another container means adding a brand new physical node. When it is about adding a new node there are two questions which comes to mind. 1) Can we add another node to our software system? 2) If yes, does adding new node cause downtime for the system? Let us assume we have added new node, let us see what the new needs of the system are when a new node is added. Balancing incoming requests to multiple nodes Synchronization of a shared state across multiple nodes Identification of “downstate” and resolution action to bring it to “upstate” Well, adding a new node has its advantages as well. Here are few of the positive points Throughput can increase nearly horizontally across the node throughout the system Response times of application will increase as in-between layer interactions will be improved Now, Let us put the above concepts in the perspective of a Database. When we mention the term “running out of resources” or “application is bound to resources” the resources can be CPU, Memory or Bandwidth. The regular approach to “gain scalability” in the database is to look around for bottlenecks and increase the bottlenecked resource. When we have memory as a bottleneck we look at the data buffers, locks, query plans or indexes. After a point even this is not enough as there needs to be an efficient way of managing such large workload on a “single machine” across memory and CPU bound (right kind of scheduling)  workload. We next move on to either read/write separation of the workload or functionality-based sharing so that we still have control of the individual. But this requires lots of planning and change in client systems in terms of knowing where to go/update/read and for reporting applications to “aggregate the data” in an intelligent way. What we ideally need is an intelligent layer which allows us to do these things without us getting into managing, monitoring and distributing the workload. Scalability In the context of database/applications, scalability means three main things Ability to handle normal loads without pressure E.g. X users at the Y utilization of resources (CPU, Memory, Bandwidth) on the Z kind of hardware (4 processor, 32 GB machine with 15000 RPM SATA drives and 1 GHz Network switch) with T throughput Ability to scale up to expected peak load which is greater than normal load with acceptable response times Ability to provide acceptable response times across the system E.g. Response time in S milliseconds (or agreed upon unit of measure) – 90% of the time The Issue – Need of Scale In normal cases one can plan for the load testing to test out normal, peak, and stress scenarios to ensure specific hardware meets the needs. With help from Hardware and Software partners and best practices, bottlenecks can be identified and requisite resources added to the system. Unfortunately this vertical scale is expensive and difficult to achieve and most of the operational people need the ability to scale horizontally. This helps in getting better throughput as there are physical limits in terms of adding resources (Memory, CPU, Bandwidth and Storage) indefinitely. Today we have different options to achieve scalability: Read & Write Separation The idea here is to do actual writes to one store and configure slaves receiving the latest data with acceptable delays. Slaves can be used for balancing out reads. We can also explore functional separation or sharing as well. We can separate data operations by a specific identifier (e.g. region, year, month) and consolidate it for reporting purposes. For functional separation the major disadvantage is when schema changes or workload pattern changes. As the requirement grows one still needs to deal with scale need in manual ways by providing an abstraction in the middle tier code. Using NOSQL solutions The idea is to flatten out the structures in general to keep all values which are retrieved together at the same store and provide flexible schema. The issue with the stores is that they are compromising on mostly consistency (no ACID guarantees) and one has to use NON-SQL dialect to work with the store. The other major issue is about education with NOSQL solutions. Would one really want to make these compromises on the ability to connect and retrieve in simple SQL manner and learn other skill sets? Or for that matter give up on ACID guarantee and start dealing with consistency issues? Hybrid Deployment – Mac, Linux, Cloud, and Windows One of the challenges today that we see across On-premise vs Cloud infrastructure is a difference in abilities. Take for example SQL Azure – it is wonderful in its concepts of throttling (as it is shared deployment) of resources and ability to scale using federation. However, the same abilities are not available on premise. This is not a mistake, mind you – but a compromise of the sweet spot of workloads, customer requirements and operational SLAs which can be supported by the team. In today’s world it is imperative that databases are available across operating systems – which are a commodity and used by developers of all hues. An Ideal Database Ability List A system which allows a linear scale of the system (increase in throughput with reasonable response time) with the addition of resources A system which does not compromise on the ACID guarantees and require developers to learn new paradigms A system which does not force fit a new way interacting with database by learning Non-SQL dialect A system which does not force fit its mechanisms for providing availability across its various modules. Well NuoDB is the first database which has all of the above abilities and much more. In future articles I will cover my hands-on experience with it. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: NuoDB

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• Announcing: Oracle Database 11g R2 Certification on Oracle Linux 6

  - by Monica Kumar

  Oracle Announces the Certification of the Oracle Database on Oracle Linux 6 and Red Hat Enterprise Linux 6 Yesterday we announced the certification of Oracle Database 11g R2 with Oracle Linux 6 and Unbreakable Enterprise Kernel. Here are the key highlights: Oracle Database 11g Release 2 (R2) and Oracle Fusion Middleware 11g Release 1 (R1) are immediately available on Oracle Linux 6 with the Unbreakable Enterprise Kernel. Oracle Database 11g R2 and Oracle Fusion Middleware 11g R1 will be available on Red Hat Enterprise Linux 6 (RHEL6) and Oracle Linux 6 with the Red Hat Compatible Kernel in 90 days. Oracle offers direct Linux support to customers running RHEL6, Oracle Linux 6, or a combination of both. Oracle Linux will continue to maintain compatibility with Red Hat Linux. Read the full press release. 

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• Can I configure a visual difference view with the notifications provided by TFS?

  - by John Kaster

  I have TFS sending me alerts whenever someone on my team checks in code. (I had to create notification rules for every project, but that's just a sidebar complaint in this question.) These alerts provided some information on who checked in the files when, and what files have changed, with urls to view details in a browser. The thing that baffles me is that I can't just click on the source file and see a visual diff of the changes. There's no link that will auto-launch a diff in Visual Studio (using a custom protocol) from there either. Is there a way to configure TFS to provide a visual diff of the changes to the file that was checked in via this notification UI?

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• Using Live Data in Database Development Work

  - by Phil Factor

  Guest Editorial for Simple-Talk Newsletter... in which Phil Factor reacts with some exasperation when coming across a report that a majority of companies were still using financial and personal data for both developing and testing database applications. If you routinely test your development work using real production data that contains personal or financial information, you are probably being irresponsible, and at worst, risking a heavy financial penalty for your company. Surprisingly, over 80% of financial companies still do this. Plenty of data breaches and fraud have happened from the use of real data for testing, and a data breach is a nightmare for any organisation that suffers one. The cost of each data breach averages out at around $7.2 million in the US in notification, escalation, credit monitoring, fines, litigation, legal costs, and lost business due to customer churn, £1.9 million in the UK. 70% of data breaches are done from within the organisation. Real data can be exploited in a number of ways for malicious or criminal purposes. It isn't just the obvious use of items such as name and address, date of birth, social security number, and credit card and bank account numbers: Data can be exploited in many subtle ways, so there are excellent reasons to ensure that a high priority is given to the detection and prevention of any data breaches. You'll never successfully guess all the ways that real data can be exploited maliciously, or the ease with which it can be accessed. It would be silly to argue that developers never need access to a copy of the database containing live data. Developers sometimes need to track a bug that can only be replicated on the data from the live database. However, it has to be done in a very restrictive harness. The law makes no distinction between development and production databases when a data breach occurs, so the data has to be held with all appropriate security measures in place. In Europe, the use of personal data for testing requires the explicit consent of the people whose data is being held. There are federal standards such as GLBA, PCI DSS and HIPAA, and most US States have privacy legislation. The task of ensuring compliance and tight security in such circumstances is an expensive and time-consuming overhead. The developer is likely to suffer investigation if a data breach occurs, even if the company manages to stay in business. Ironically, the use of copies of live data isn't usually the most effective way to develop or test your data. Data is usually time-specific and isn't usually current by the time it is used for testing, Existing data doesn't help much for new functionality, and every time the data is refreshed from production, any test data is likely to be overwritten. Also, it is not always going to test all the 'edge' conditions that are likely to flush out bugs. You still have the task of simulating the dynamics of actual usage of the database, and here you have no alternative to creating 'spoofed' data. Because of the complexities of relational data, It used to be that there was no realistic alternative to developing and testing with live data. However, this is no longer the case. Real data can be obfuscated, or it can be created entirely from scratch. The latter process used to be impractical, now that there are plenty of third-party tools to choose from. The process of obfuscation isn't risk free. The process must access the live data, and the success of the obfuscation process has to be carefully monitored. Database data security isn't an exciting topic to you or I, but to a hacker it can be an all-consuming obsession, especially if there is financial or political gain involved. This is not the sort of adversary one would wish for and it is far better to accept, and work with, security restrictions that exist for using live data in database development work, especially when the tools exist to create large realistic database test data that can be better for several aspects of testing.

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• Announcement: Oracle Database Appliance 2.4 patch update now available

  - by uwes

  The Oracle Database Appliance 2.4 patch is now available from My Oracle Support (MOS).  If you search for the Oracle Database Appliance 2.4.0.0.0 Kit under Patches it will display the newly uploaded bundles. The patch highlights include: Normal redundancy (double-mirroring) option providing 6TB of usable storage Enhanced Diagnostics - Trace File Analyzer and ODACHK Also, if you review the README, you may see content that says:        "The grid infrastructure and database patching, both are rolling upgradable. During our patching, we patch the node 1 first and when completed, we patch the node 2." I would like to clarify that the 'infrastructure' updates (OS, Firmware, ILOM, etc) will require a  short downtime of the ODA while it is applied.  When you update the grid infrastructure (--gi), the appliance manager verifies that the infrastructure was updated so you cannot just patch the GI without first updating the infrastructure. The high level update patch steps include (but not limited to): Download patch update to your ODA The --infra (infrastructure) is updated and ODA Databases are down and the ODA is/may be rebooted ODA and GI/Databases are restarted Issue the command to update the Grid Infrastructure/databases (The order of the steps are completed automatically and you cannot control when the nodes are brought up and down during the patching) Node 1 -- shutdown databases and GI Node 1 -- patch GI/database Node 1 -- bring up databases and GI Node 2 -- shutdown databases and GI Node 2 -- patch GI/database Node 2 -- bring up databases and GI A replay from Friday's with Sohan on the 2.4 release can be found here.  The PDF of the presentation is here. The Data Sheet, WP, and 2.4 Configurator are available on the ODA OTN site.

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• Oracle Database 11g Release 2: Optimized for SAP

  - by jenny.gelhausen

  With the release of Oracle Database 11g Release 2 Enterprise Edition, Oracle has further enhanced its long-standing commitment to joint Oracle and SAP AG customers. Get more details on the release. The Oracle Database Insider sat down with Gerhard Kuppler, senior director Corporate SAP Account at Oracle, to find out just how much Oracle Database 11g Release 2 can impact SAP customers. Check out the interview details.

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• The Database as Intellectual Property

  - by Jonathan Kehayias

  Every so often, a question shows up on the forums in the form of, “How do I prevent anyone from accessing my database schema, including local administrators and sysadmins in SQL Server?”  I usually laugh a little shake my head when I read a question like this because it demonstrates an complete lack of understanding of the power an administrator has over SQL Server.  The simple answer is this: If you don’t want your database schema to ever be accessed or known, don’t distribute your database....(read more)

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• Unable to add users to Microsoft Dynamics CRM 4.0 after database restore

  - by Wes Weeks

  Working with a client in our Multi-tenant CRM environment who was doing a database migration into CRM and as part of the process, a backup of their Organization_MSCRM database was taken just prior to starting the migration in case it needed to be restored and run a second time. In this case it did, so I restored the database and let the client know he should be good to go.  A few hours later I received a call that they were unable to add some new users, they would appear as available when using the add multiple user wizard, but anyone added would not be added to CRM.  It was also disucussed that these users had been added to CRM initally AFTER the database backup had been taken. I turned on tracing and tried to add the users through both the single user form and multiple user interface and was unable to do so.  The error message in the logs wasn't much help: Unexpected error adding user [email protected]: Microsoft.Crm.CrmException: INVALID_WRPC_TOKEN: Validate WRPC Token: WRPCTokenState=Invalid, TOKEN_EXPIRY=4320, IGNORE_TOKEN=False Searching on Google or bing didn't offer any assitance.  Apparently not a very common problem, or no one has been able to resolve. I did some searching in the MSCRM_CONFIG database and found that their are several user tables there and after getting my head around the structure found that there were enties here for users that were not part of the restored DB.  It seems that new users are added to both the Orgnaization_MSCRM and MSCRM_CONFIG and after the restore these were out of sync. I needed to remove the extra entries in order to address.  Restoring the MSCRM_CONFIG database was not an option as other clients could have been adding users at this point and to restore would risk breaking their instances of CRM.  Long story short, I was finally able to generate a script to remove the bad entries and when I tried to add users again, I was succesful.  In case someone else out there finds themselves in a similar situation, here is the script I used to delete the bad entries. DECLARE @UsersToDelete TABLE (   UserId uniqueidentifier )   Insert Into @UsersToDelete(UserId) Select UserId from [MSCRM_CONFIG].[dbo].[SystemUserOrganizations] Where CrmuserId Not in (select systemuserid from Organization_MSCRM.dbo.SystemUserBase) And OrganizationId = '00000000-643F-E011-0000-0050568572A1' --Id From the Organization table for this instance   Delete From [MSCRM_CONFIG].[dbo].[SystemUserAuthentication]   Where UserId in (Select UserId From @UsersToDelete)   Delete From [MSCRM_CONFIG].[dbo].[SystemUserOrganizations] Where UserId in (Select UserId From @UsersToDelete)   Delete From [MSCRM_CONFIG].[dbo].[SystemUser] Where Id in (Select UserId From @UsersToDelete)

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• Add a database to use with locate command

  - by Pedro Teran

  i would like to know if anyone knows how I can create a database of a file system on my computer. so I can choose this data base to search for files on this file system efficiently. I ask this question since in man locate I found that I can choose a database for a different file system. Also would be grate if /var/lib/mlocate/mlocate.db database can have the data of 2 disks any approach ideas or others would be greatly appreciated

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• Oracle Database As Seen at Sapphire 2010

  - by jenny.gelhausen

  Seen around the Orange County Convention Center in Orlando Florida at the May 16-19th SAPPHIRE 2010 conference Oracle Database is the #1 Database for SAP applications Oracle Database 11g Release 2 is available for SAP. By upgrading you can lower the cost of your SAP applications infrastructure and improve your quality of service, so we encourage you to consider the upgrade.

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• C#.NET (AForge) against Java (JavaCV, JMF) for video processing

  - by Leron

  I'm starting to get really confused looking deeper and deeper at video processing world and searching for optimal choices. This is the reason to post this and some other questions to try and navigate myself in the best possible way. I really like Java, working with Java, coding with Java, at the same time C# is not that different from Java and Visual Studio is maybe the best IDE I've been working with. So even though I really want to do my projects in Java so I can get better and better Java programmer at the same time I'm really attract to video processing and even though I'm still at the beginning of this journey I want to take the right path. So I'm really in doubt could Java be used in a production environment for serious video processing software. As the title says I already have been looking at maybe the two most used technologies for video processing in Java - JMF and JavaCV and I'm starting to think that even they are used and they provide some functionality, when it comes to real work and real project that's not the first thing that comes to once mind, I mean to someone that have a professional opinion about this. On the other hand I haven't got the time to investigate .NET (c# specificly) options but even AForge looks a lot more serious library then those provided for Java. So in general -either ways I'm gonna spend a lot of time learning some technology and trying to do something that make sense with it, but my plan is at the end the thing that I'll eventually come up to be my headline project. To represent my skills and eventually help me find a job in the field. So I really don't want to spend time learning something that will give me the programming result I want but at the same time is not something that is needed in the real world development. So what is your opinion, which language, technology is better for this specific issue. Which one worths more in terms that I specified above?

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• Oracle Database 11g Release 2 for Windows available!

  - by Mike Dietrich

  Hi there, just returned from vacation - and the Easter bunny (was its name Tux??) just delivered the Windows release (32bit and 64bit) of Oracle Database 11g Release 2. It's available for download from edelivery.oracle.com or OTN: Oracle Database 11g Release 2 for Windows 32-bit Oracle Database 11g Release 2 for Windows 64-bit And if you wonder yourself why it took sooooooo long to release Oracle Database 11g Release 2 on the Windows platform: The developers have incorporated a lot of the available fixes on top of 11.2.0.1.0 - so it's more a 11.2.0.1.1/2 ;-) And don't forget to download the newest version of rhe upgrade slides: http://apex.oracle.com/folien Use the keyword (Schluesselwort): upgrade112

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• jMonkey Quest Database

  - by theJollySin

  I am building a game in jMonkey (Java) and I have so far only used default quest text. But now I need to start populating a lot of quests with text. My design requires A LOT of quests texts. What is the best way to build a database of quest texts in jMonkey? I don't have a lot of real experience with databases. Is there a database that integrates well with jMonkey? Here are the ideal properties I want in my database, in order of priority: Reasonably light learning curve Easy portability (in Java) to Windows, Linux, and Mac OSX Good interface with Java Good interface with jMonkey The ability to add properties to the quests: ID, level, gender, quest chain ID, etc. Or am I wrong in thinking I need to use some giant monster like SQL? I haven't been able to find much information on this, so are people using some non-database methods for storing things like quest text in jMonkey?

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• Benefits and features of different requirements-management systems and tools available?

  - by DevDevDave

  I am looking for a good comparision of different available professional requirement management tools. I am especially interested in the the features available within the different software solutions. Additionally to the "obvious" features I am looking for a proffesional Requirement Management System that supports for: multi-lingual customizable generation of documentation & history (graphs) search features (e.g. fulltext for comments), ordering, priorities version history bi-directional traceability of changes, artefacts, requirements, changes in requirements, etc. Any kind of integration of V-Model XT would be a really-nice-to-have-feature. Besides, I'd like to hear any personal motivated recommendations and/or experiences with different requirement management systems. Any input is highly appreciated. Content consulted: similar question reqm tool with v-model ToolsJournal.com nice, but too old paper (pdf)

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• moving from wpf to html5

  - by HighCore

  I don't even know if this is the right StackExchange site to post this question. If it isn't, please excuse me and please let me know which would be the right one. I am an experienced WPF developer, and I seriously love the technology. I feel pretty good when working with XAML, bindings, templates, triggers, MVVM and all the WPF world of goodness. Now I have recieved a job offer which surpasses my current salary by 50%. It a position to work as a C# developer in an ASP.Net MVC4 + HTML5 project. I have never EVER in my whole life worked with ASP.Net, nor HTML and I never ever did a web page or web application before. I certainly find myself worried that I will lose all the comfort and joy I live every day coding in WPF. And in the other hand I understand and have seen in these 3/4 months of job hunting that there's a LOT of ASP.Net and really really little or no WPF in the job market (at least here), so I somehow feel forced towards it. So, my question is: Can anybody who had to go thru this type of change tell me the pros and cons of working with these technologies from a developer's perspective? I don't care about open-source / non-microsoft or non-desktop, I care about REAL development experience in every day working with these techs, and whether ASP.Net MVC 4 + HTML + JS is as crappy as I think it is comparing it to WPF.

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• Pros and cons of using Grails compared to pure Groovy

  - by shabunc

  Say, you (by you I mean an abstract guy, any guy in your team) have experience of writing and building java web apps, know about filters, servlet mappings and so on, and so on. Also, let us assume you know pretty well any sql db, no matter which one exactly, whether it mysql, oracle or psql. At last, let pretend we know Groovy and its standard libraries, for example all that JsonBuilder and XmlSlurper stuff, so we don't need grails converters. The question is - what are benefits of using grails in this case. I'm not trying to start flame war, I'm just asking to compare - what are ups and downs of grails development compared to pure groovy one. For instance, off the top of my head I can name two pluses - automatic DB mapping and custom gsp tags. But when I want to write a modest app which provides small API for handling some well defined set of data, I'm totally OK with groovy's awesome SQL support. As for gsp, we does not use it at all, so we are not interested in custom tags as well.

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