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  • Allen for Umbraco with location EXIF meta data

    - by Vizioz Limited
    The latest version of Allen for Umbraco has now hit the Apple App store, we have managed to add some nice improvements to this version that include:Storing location and direction information when photos are taken within the AppEmbedding EXIF data into the images when they are uploadBackground UploadingPull to refresh the media tree Location and DirectionBy default when the camera is used within an application the location and direction that the camera is pointing is not stored within the image meta data. We have now added full support so that this data is now added. We have added a setting which allows you to prevent this data from being uploaded to your website if you do not want the location data to be sent you can turn it off within Allen, Note: Please don't forget that location services do need to be turned on to allow the app to access the images in the phone's asset library.We have had quite a few ideas from users already for using this location data, including logging free parking in Denmark to geo-tagging holiday photos and linking the photos to Google street view. Embedding EXIF dataWe now embed all the meta data available on the iPhone into the image when it is uploaded to your server, this allows you to pull the data out and use it within your site. Have a look at Cultiv's Photo Meta Data package for great example code that allows you to automatically pull this data out and populate properties on your Umbraco media item.We slightly modified the source code of this package to allow the package to always extract the image data, as the default package requires a property to allow the data to be extracted, it's an easy change, if you get stuck add a comment to this post. Background UploadingIf you try to upload multiple images and need to start doing something else on your phone, you can now click the home button and the application will continue to upload your images in the background. As soon as it has finished you will receive a standard Apple notification. Pull to RefreshOur final enhancement has been to add "Pull to refresh" to the media trees, just pull the tree downwards with your finger and it will refresh, this is useful if you are adding items to your media tree while testing your site with Allen for Umbraco. Future enhancements.. your ideas?If you have any ideas for future enhancement feel free to add a comment below!

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  • Listing common SQL Code Smells.

    - by Phil Factor
    Once you’ve done a number of SQL Code-reviews, you’ll know those signs in the code that all might not be well. These ’Code Smells’ are coding styles that don’t directly cause a bug, but are indicators that all is not well with the code. . Kent Beck and Massimo Arnoldi seem to have coined the phrase in the "OnceAndOnlyOnce" page of www.C2.com, where Kent also said that code "wants to be simple". Bad Smells in Code was an essay by Kent Beck and Martin Fowler, published as Chapter 3 of the book ‘Refactoring: Improving the Design of Existing Code’ (ISBN 978-0201485677) Although there are generic code-smells, SQL has its own particular coding habits that will alert the programmer to the need to re-factor what has been written. See Exploring Smelly Code   and Code Deodorants for Code Smells by Nick Harrison for a grounding in Code Smells in C# I’ve always been tempted by the idea of automating a preliminary code-review for SQL. It would be so useful to trawl through code and pick up the various problems, much like the classic ‘Lint’ did for C, and how the Code Metrics plug-in for .NET Reflector by Jonathan 'Peli' de Halleux is used for finding Code Smells in .NET code. The problem is that few of the standard procedural code smells are relevant to SQL, and we need an agreed list of code smells. Merrilll Aldrich made a grand start last year in his blog Top 10 T-SQL Code Smells.However, I'd like to make a start by discovering if there is a general opinion amongst Database developers what the most important SQL Smells are. One can be a bit defensive about code smells. I will cheerfully write very long stored procedures, even though they are frowned on. I’ll use dynamic SQL occasionally. You can only use them as an aid for your own judgment and it is fine to ‘sign them off’ as being appropriate in particular circumstances. Also, whole classes of ‘code smells’ may be irrelevant for a particular database. The use of proprietary SQL, for example, is only a ‘code smell’ if there is a chance that the database will have to be ported to another RDBMS. The use of dynamic SQL is a risk only with certain security models. As the saying goes,  a CodeSmell is a hint of possible bad practice to a pragmatist, but a sure sign of bad practice to a purist. Plamen Ratchev’s wonderful article Ten Common SQL Programming Mistakes lists some of these ‘code smells’ along with out-and-out mistakes, but there are more. The use of nested transactions, for example, isn’t entirely incorrect, even though the database engine ignores all but the outermost: but it does flag up the possibility that the programmer thinks that nested transactions are supported. If anything requires some sort of general agreement, the definition of code smells is one. I’m therefore going to make this Blog ‘dynamic, in that, if anyone twitters a suggestion with a #SQLCodeSmells tag (or sends me a twitter) I’ll update the list here. If you add a comment to the blog with a suggestion of what should be added or removed, I’ll do my best to oblige. In other words, I’ll try to keep this blog up to date. The name against each 'smell' is the name of the person who Twittered me, commented about or who has written about the 'smell'. it does not imply that they were the first ever to think of the smell! Use of deprecated syntax such as *= (Dave Howard) Denormalisation that requires the shredding of the contents of columns. (Merrill Aldrich) Contrived interfaces Use of deprecated datatypes such as TEXT/NTEXT (Dave Howard) Datatype mis-matches in predicates that rely on implicit conversion.(Plamen Ratchev) Using Correlated subqueries instead of a join   (Dave_Levy/ Plamen Ratchev) The use of Hints in queries, especially NOLOCK (Dave Howard /Mike Reigler) Few or No comments. Use of functions in a WHERE clause. (Anil Das) Overuse of scalar UDFs (Dave Howard, Plamen Ratchev) Excessive ‘overloading’ of routines. The use of Exec xp_cmdShell (Merrill Aldrich) Excessive use of brackets. (Dave Levy) Lack of the use of a semicolon to terminate statements Use of non-SARGable functions on indexed columns in predicates (Plamen Ratchev) Duplicated code, or strikingly similar code. Misuse of SELECT * (Plamen Ratchev) Overuse of Cursors (Everyone. Special mention to Dave Levy & Adrian Hills) Overuse of CLR routines when not necessary (Sam Stange) Same column name in different tables with different datatypes. (Ian Stirk) Use of ‘broken’ functions such as ‘ISNUMERIC’ without additional checks. Excessive use of the WHILE loop (Merrill Aldrich) INSERT ... EXEC (Merrill Aldrich) The use of stored procedures where a view is sufficient (Merrill Aldrich) Not using two-part object names (Merrill Aldrich) Using INSERT INTO without specifying the columns and their order (Merrill Aldrich) Full outer joins even when they are not needed. (Plamen Ratchev) Huge stored procedures (hundreds/thousands of lines). Stored procedures that can produce different columns, or order of columns in their results, depending on the inputs. Code that is never used. Complex and nested conditionals WHILE (not done) loops without an error exit. Variable name same as the Datatype Vague identifiers. Storing complex data  or list in a character map, bitmap or XML field User procedures with sp_ prefix (Aaron Bertrand)Views that reference views that reference views that reference views (Aaron Bertrand) Inappropriate use of sql_variant (Neil Hambly) Errors with identity scope using SCOPE_IDENTITY @@IDENTITY or IDENT_CURRENT (Neil Hambly, Aaron Bertrand) Schemas that involve multiple dated copies of the same table instead of partitions (Matt Whitfield-Atlantis UK) Scalar UDFs that do data lookups (poor man's join) (Matt Whitfield-Atlantis UK) Code that allows SQL Injection (Mladen Prajdic) Tables without clustered indexes (Matt Whitfield-Atlantis UK) Use of "SELECT DISTINCT" to mask a join problem (Nick Harrison) Multiple stored procedures with nearly identical implementation. (Nick Harrison) Excessive column aliasing may point to a problem or it could be a mapping implementation. (Nick Harrison) Joining "too many" tables in a query. (Nick Harrison) Stored procedure returning more than one record set. (Nick Harrison) A NOT LIKE condition (Nick Harrison) excessive "OR" conditions. (Nick Harrison) User procedures with sp_ prefix (Aaron Bertrand) Views that reference views that reference views that reference views (Aaron Bertrand) sp_OACreate or anything related to it (Bill Fellows) Prefixing names with tbl_, vw_, fn_, and usp_ ('tibbling') (Jeremiah Peschka) Aliases that go a,b,c,d,e... (Dave Levy/Diane McNurlan) Overweight Queries (e.g. 4 inner joins, 8 left joins, 4 derived tables, 10 subqueries, 8 clustered GUIDs, 2 UDFs, 6 case statements = 1 query) (Robert L Davis) Order by 3,2 (Dave Levy) MultiStatement Table functions which are then filtered 'Sel * from Udf() where Udf.Col = Something' (Dave Ballantyne) running a SQL 2008 system in SQL 2000 compatibility mode(John Stafford)

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  • Recover Data Like a Forensics Expert Using an Ubuntu Live CD

    - by Trevor Bekolay
    There are lots of utilities to recover deleted files, but what if you can’t boot up your computer, or the whole drive has been formatted? We’ll show you some tools that will dig deep and recover the most elusive deleted files, or even whole hard drive partitions. We’ve shown you simple ways to recover accidentally deleted files, even a simple method that can be done from an Ubuntu Live CD, but for hard disks that have been heavily corrupted, those methods aren’t going to cut it. In this article, we’ll examine four tools that can recover data from the most messed up hard drives, regardless of whether they were formatted for a Windows, Linux, or Mac computer, or even if the partition table is wiped out entirely. Note: These tools cannot recover data that has been overwritten on a hard disk. Whether a deleted file has been overwritten depends on many factors – the quicker you realize that you want to recover a file, the more likely you will be able to do so. Our setup To show these tools, we’ve set up a small 1 GB hard drive, with half of the space partitioned as ext2, a file system used in Linux, and half the space partitioned as FAT32, a file system used in older Windows systems. We stored ten random pictures on each hard drive. We then wiped the partition table from the hard drive by deleting the partitions in GParted. Is our data lost forever? Installing the tools All of the tools we’re going to use are in Ubuntu’s universe repository. To enable the repository, open Synaptic Package Manager by clicking on System in the top-left, then Administration > Synaptic Package Manager. Click on Settings > Repositories and add a check in the box labelled “Community-maintained Open Source software (universe)”. Click Close, and then in the main Synaptic Package Manager window, click the Reload button. Once the package list has reloaded, and the search index rebuilt, search for and mark for installation one or all of the following packages: testdisk, foremost, and scalpel. Testdisk includes TestDisk, which can recover lost partitions and repair boot sectors, and PhotoRec, which can recover many different types of files from tons of different file systems. Foremost, originally developed by the US Air Force Office of Special Investigations, recovers files based on their headers and other internal structures. Foremost operates on hard drives or drive image files generated by various tools. Finally, scalpel performs the same functions as foremost, but is focused on enhanced performance and lower memory usage. Scalpel may run better if you have an older machine with less RAM. Recover hard drive partitions If you can’t mount your hard drive, then its partition table might be corrupted. Before you start trying to recover your important files, it may be possible to recover one or more partitions on your drive, recovering all of your files with one step. Testdisk is the tool for the job. Start it by opening a terminal (Applications > Accessories > Terminal) and typing in: sudo testdisk If you’d like, you can create a log file, though it won’t affect how much data you recover. Once you make your choice, you’re greeted with a list of the storage media on your machine. You should be able to identify the hard drive you want to recover partitions from by its size and label. TestDisk asks you select the type of partition table to search for. In most cases (ext2/3, NTFS, FAT32, etc.) you should select Intel and press Enter. Highlight Analyse and press enter. In our case, our small hard drive has previously been formatted as NTFS. Amazingly, TestDisk finds this partition, though it is unable to recover it. It also finds the two partitions we just deleted. We are able to change their attributes, or add more partitions, but we’ll just recover them by pressing Enter. If TestDisk hasn’t found all of your partitions, you can try doing a deeper search by selecting that option with the left and right arrow keys. We only had these two partitions, so we’ll recover them by selecting Write and pressing Enter. Testdisk informs us that we will have to reboot. Note: If your Ubuntu Live CD is not persistent, then when you reboot you will have to reinstall any tools that you installed earlier. After restarting, both of our partitions are back to their original states, pictures and all. Recover files of certain types For the following examples, we deleted the 10 pictures from both partitions and then reformatted them. PhotoRec Of the three tools we’ll show, PhotoRec is the most user-friendly, despite being a console-based utility. To start recovering files, open a terminal (Applications > Accessories > Terminal) and type in: sudo photorec To begin, you are asked to select a storage device to search. You should be able to identify the right device by its size and label. Select the right device, and then hit Enter. PhotoRec asks you select the type of partition to search. In most cases (ext2/3, NTFS, FAT, etc.) you should select Intel and press Enter. You are given a list of the partitions on your selected hard drive. If you want to recover all of the files on a partition, then select Search and hit enter. However, this process can be very slow, and in our case we only want to search for pictures files, so instead we use the right arrow key to select File Opt and press Enter. PhotoRec can recover many different types of files, and deselecting each one would take a long time. Instead, we press “s” to clear all of the selections, and then find the appropriate file types – jpg, gif, and png – and select them by pressing the right arrow key. Once we’ve selected these three, we press “b” to save these selections. Press enter to return to the list of hard drive partitions. We want to search both of our partitions, so we highlight “No partition” and “Search” and then press Enter. PhotoRec prompts for a location to store the recovered files. If you have a different healthy hard drive, then we recommend storing the recovered files there. Since we’re not recovering very much, we’ll store it on the Ubuntu Live CD’s desktop. Note: Do not recover files to the hard drive you’re recovering from. PhotoRec is able to recover the 20 pictures from the partitions on our hard drive! A quick look in the recup_dir.1 directory that it creates confirms that PhotoRec has recovered all of our pictures, save for the file names. Foremost Foremost is a command-line program with no interactive interface like PhotoRec, but offers a number of command-line options to get as much data out of your had drive as possible. For a full list of options that can be tweaked via the command line, open up a terminal (Applications > Accessories > Terminal) and type in: foremost –h In our case, the command line options that we are going to use are: -t, a comma-separated list of types of files to search for. In our case, this is “jpeg,png,gif”. -v, enabling verbose-mode, giving us more information about what foremost is doing. -o, the output folder to store recovered files in. In our case, we created a directory called “foremost” on the desktop. -i, the input that will be searched for files. This can be a disk image in several different formats; however, we will use a hard disk, /dev/sda. Our foremost invocation is: sudo foremost –t jpeg,png,gif –o foremost –v –i /dev/sda Your invocation will differ depending on what you’re searching for and where you’re searching for it. Foremost is able to recover 17 of the 20 files stored on the hard drive. Looking at the files, we can confirm that these files were recovered relatively well, though we can see some errors in the thumbnail for 00622449.jpg. Part of this may be due to the ext2 filesystem. Foremost recommends using the –d command-line option for Linux file systems like ext2. We’ll run foremost again, adding the –d command-line option to our foremost invocation: sudo foremost –t jpeg,png,gif –d –o foremost –v –i /dev/sda This time, foremost is able to recover all 20 images! A final look at the pictures reveals that the pictures were recovered with no problems. Scalpel Scalpel is another powerful program that, like Foremost, is heavily configurable. Unlike Foremost, Scalpel requires you to edit a configuration file before attempting any data recovery. Any text editor will do, but we’ll use gedit to change the configuration file. In a terminal window (Applications > Accessories > Terminal), type in: sudo gedit /etc/scalpel/scalpel.conf scalpel.conf contains information about a number of different file types. Scroll through this file and uncomment lines that start with a file type that you want to recover (i.e. remove the “#” character at the start of those lines). Save the file and close it. Return to the terminal window. Scalpel also has a ton of command-line options that can help you search quickly and effectively; however, we’ll just define the input device (/dev/sda) and the output folder (a folder called “scalpel” that we created on the desktop). Our invocation is: sudo scalpel /dev/sda –o scalpel Scalpel is able to recover 18 of our 20 files. A quick look at the files scalpel recovered reveals that most of our files were recovered successfully, though there were some problems (e.g. 00000012.jpg). Conclusion In our quick toy example, TestDisk was able to recover two deleted partitions, and PhotoRec and Foremost were able to recover all 20 deleted images. Scalpel recovered most of the files, but it’s very likely that playing with the command-line options for scalpel would have enabled us to recover all 20 images. These tools are lifesavers when something goes wrong with your hard drive. If your data is on the hard drive somewhere, then one of these tools will track it down! Similar Articles Productive Geek Tips Recover Deleted Files on an NTFS Hard Drive from a Ubuntu Live CDUse an Ubuntu Live CD to Securely Wipe Your PC’s Hard DriveReset Your Ubuntu Password Easily from the Live CDBackup Your Windows Live Writer SettingsAdding extra Repositories on Ubuntu TouchFreeze Alternative in AutoHotkey The Icy Undertow Desktop Windows Home Server – Backup to LAN The Clear & Clean Desktop Use This Bookmarklet to Easily Get Albums Use AutoHotkey to Assign a Hotkey to a Specific Window Latest Software Reviews Tinyhacker Random Tips DVDFab 6 Revo Uninstaller Pro Registry Mechanic 9 for Windows PC Tools Internet Security Suite 2010 Awe inspiring, inter-galactic theme (Win 7) Case Study – How to Optimize Popular Wordpress Sites Restore Hidden Updates in Windows 7 & Vista Iceland an Insurance Job? Find Downloads and Add-ins for Outlook Recycle !

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  • T-4 Templates for ASP.NET Web Form Databound Control Friendly Logical Layers

    - by joycsharp
    I just released an open source project at codeplex, which includes a set of T-4 templates to enable you to build logical layers (i.e. DAL/BLL) with just few clicks! The logical layers implemented here are  based on Entity Framework 4.0, ASP.NET Web Form Data Bound control friendly and fully unit testable. In this open source project you will get Entity Framework 4.0 based T-4 templates for following types of logical layers: Data Access Layer: Entity Framework 4.0 provides excellent ORM data access layer. It also includes support for T-4 templates, as built-in code generation strategy in Visual Studio 2010, where we can customize default structure of data access layer based on Entity Framework. default structure of data access layer has been enhanced to get support for mock testing in Entity Framework 4.0 object model. Business Logic Layer: ASP.NET web form based data bound control friendly business logic layer, which will enable you few clicks to build data bound web applications on top of ASP.NET Web Form and Entity Framework 4.0 quickly with great support of mock testing. Download it to make your web development productive. Enjoy!

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  • How to factor out data layer in nopCommerce and replace MS SQL with RavenDB?

    - by Kaveh Shahbazian
    I am new to nopCommerce and ecommerce in general but I am involved in an ecommerce project. Now from my past experiences with RavenDB (which mostly were absolutely pleasant) and based on the needs of the business (fast changes with awkward business workflows) It seemed to be an appealing option to have RavenDB handling all sort of things related to the database. I do not understand design and architecture of nopCommerce fully so I did not reach to a conclusion on how to factor data parts, since it seems the services layer actually does not abstract data-layer concepts away; like bringing in EF working model to other layers. I have found another project which used NuDB as it's database as a nopCommerce fork. But it did not help because NuDB still has the feeling of a RDBMS and is not as different as RavenDB. Now first how can I learn about the internals of nopCommerce (other than investigating the code)? It's workflows? It's conventions? Second has anyone tried something similar before with a NoSQL database (say like MongoDB or RavenDB)? Is it possible to achieve this in a 1 (~2) month time frame? Thanks in advance;

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  • Tools for modelling data and workflows using structured text files

    - by Alexey
    Consider a case when I want to try some idea of an application. But I want to avoid investing a lot of effort in coding UI/work flows/database schema etc before I see that it's going to be useful to me (as example of potential user). My idea is stay lightweight and put all the data in text files. So the components could be following: Domain objects are represented by text files or their fragments Domain objects are grouped by their type using directories Structure the files using some both human- and machine-friendly format, e.g. YAML Use some smart text editor (e.g. vim, emacs, rubymine) to edit and navigate those files Use color schemes and macros/custom commands of the text editor to effectively manipulate those files Use scripts (or a lightweight web framework like Sinatra) to try some business logic ideas on top of the data model The question is: Are there tools or toolkits that support or can be adopted to this approach? Also any ideas, links to articles/other knowledge sources are very welcome. And more specific question: What is the simplest way to index and update index of files with YAML files?

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  • Which data structure should I use for dynamically generated platforms?

    - by Joey Green
    I'm creating a platform type of game with various types of platforms. Platforms that move, shake, rotate, etc. Multiple types and multiple of each type can be on the screen at once. The platforms will be procedural generated. I'm trying to figure out which of the following would be a better platform system: Pre-allocate all platforms when the scene loads, storing each platform type into different platform type arrays( i.e. regPlatformArray ), and just getting one when I need one. The other option is to allocate and load what I need when my code needs it. The problem with 1 is keeping up with the indices that are in use on screen and which aren't. The problem with 2 is I'm having a hard time wrapping my head around how I would store these platforms so that I can call the update/draw methods on them and managing that data structure that holds them. The data structure would constantly be growing and shrinking. It seems there could be too much complexity. I'm using the cocos2d iPhone game engine. Anyways, which option would be best or is there a better option?

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  • Leveraging .Net 4.0 Framework Tools For Encrypting Web Configuration Sections

    - by Sam Abraham
    I would like to share a few points with regards to encrypting web configuration sections in .Net 4.0. This information is also applicable to .Net 3.5 and 2.0. Two methods can work perfectly for encrypting connection strings in a Web project configuration file:   1-Do It All Yourself! In this approach, helper functions for encrypting/decrypting configuration file content are implemented. Program would explicitly retrieve appropriate content from configuration file then decrypt it appropriately.  Disadvantages of this implementation would be the added overhead for maintaining the encryption/decryption code as well the burden of always ensuring sections are appropriately decrypted before use and encrypted appropriately whenever edited.   2- Leverage the .Net 4.0 Framework (The Way to go!) Fortunately, all needed tools for protecting configuration files are built-in to the .Net 2.0/3.5/4.0 versions with very little setup needed. To encrypt connection strings, one can use the ASP.Net IIS Registration Tool (Aspnet_regiis.exe). Note that a 64-bit version of the tool also exists under the Framework64 folder for 64-bit systems. The command we need to encrypt our web.config file connection strings is simply the following:   Aspnet_regiis –pe “connectionstrings” –app “/sampleApplication” –prov “RsaProtectedConfigurationProvider”   To later decrypt this configuration section:   Aspnet_regiis –pd “connectionstrings” –app “/SampleApplication”   The following is a brief description of the command line options used in the example above. Aspnet_regiis supports many more options which you can read about in the links provided for reference below.   Option Description -pe  Section name to encrypt -pd  Section name to decrypt -app  Web application name -prov  Encryption/Decryption provider   ASP.Net automatically decrypts the content of the Web.Config file at runtime so no programming changes are needed.   Another tool, aspnet_setreg.exe is to be used if certain configuration file sections pertinent to the .Net runtime are to be encrypted. For more information on when and how to use aspnet_setreg, please refer to the references below.   Hope this helps!   Some great references concerning the topic:   http://msdn.microsoft.com/en-us/library/ff650037.aspx http://msdn.microsoft.com/en-us/library/zhhddkxy.aspx http://msdn.microsoft.com/en-us/library/dtkwfdky.aspx http://msdn.microsoft.com/en-us/library/68ze1hb2.aspx

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  • The effects of Agile Programming can alter the five desirable properties of modeling tools and techniques

    The effects of Agile Programming can alter the five desirable properties of modeling tools and techniques as documented by Pfleeger. The agile methodology does promote human understanding and communication through the use of short iterative software development life cycles which forces stakeholders to review the project and adjust the project for any requirement changes.  Due to the consistent evaluations of a project and requirements, process are continually being refined, upgraded, and compared against other alternatives to ensure the best design delivered to the client. Due to the short repetitive development cycles, increased time is devoted to process management due to the fact that requirements and designs could be constantly changing. This requires additional forecasting, monitoring, and planning for each iteration. Because things can change so rapidly, automated guidance in performing process must be updated for each iteration because the environment and the available reusable process could change. In addition, the original guidance and suggestions for the project also need to be updated to account for these changes as well.   In essence the automation of process execution is supported by the agile methodology because during every iteration all processes must be tested, evaluated to ensure process integrity and compliance with the customer’s requirements. I do not think the agile approach diminishes modeling, in fact I think it increases the modeling because before the start of every development cycle, modeling must be checked for accuracy based on the changed requirements. So in essence the reduced time spent initially designing the models is in fact gained as the project completes every iteration of the project.

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  • Instructor Insight: Dealing with Columns in Oracle JD Edwards Enterprise One Tools Release 9.1

    - by Breanne Cooley
    Oracle JD Edwards Enterprise One Tools Release  9.1 has many new features that will help end users be more efficient in their daily jobs. For example, hiding grid columns is now as easy as a left-mouse click. In earlier releases, users could click on the ‘Customize Grid’ link but still had to do several more clicks to hide or show a column . The following example shows how easy this new feature is to use. First, right-mouse click on the column you want to hide; for example the ‘Long Address’ column. The column is now hidden. Second, right-mouse over on any of the columns to show the ‘Unhide’ option. After you select ‘Unhide’, the hidden column is shown. You can then select the column to show, or unhide, the column. This new feature and others are covered in the JD Edwards EnterpriseOne System Administration Rel 9.x course, which has been updated to reflect the new release. Hope to see you in class! -Randy Richeson, Senior Principal Instructor, Oracle University

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  • Tools for managing eCommerce backend

    - by rboarman
    I am working with an eCommerce company that has outgrown their hacked together backend for managing inventory, pricing and feeds to various shopping engines (Yahoo, 3d cart, Amazon, etc.). They currently manage about 12,000 skus and are doing $40M in revenue. Their internal people are working on a new Magento solution, but that is six months away and they need to replace/improve their current solution in order to hold them over. Their current solution was developed by two people who have left the company. What tools/architecture do other eCommerce sites use to manage their inventory, pricing, product descriptions and feed generation for the shopping engines? The current solution looks like this: 1) Inventory, pricing and product descriptions are maintained in a database and in NetSuite by employees 2) New products are added to the database via import 3) Twice a week data is extracted into a giant Excel spreadsheet 4) The Excel file adjusts pricing based on some simple algorithms 5) The Excel file exports about six different csv feeds which are manually uploaded to Amazon, 3d cart, Yahoo, Google and Merchant Advantage a. Each feed is a variant of the product which different field names and formatting b. Pricing levels differ between feeds c. Some products are not sent to all feeds 6) Orders are manually parsed and the inventory is adjusted as needed once product is sold The new solution should: 1) Import data from ODBC, CSV and NetSuite (CSV via ftp) 2) Apply pricing changes via simple algorithms (< $80 add $10, $200 add $25) 3) Ensure margins are being met 4) Format and generate a bunch of CSV and XML feeds 5) Perhaps upload feeds to shopping engines automatically What I need to do is replace the Excel file with something that is maintainable and automated. Something in the .Net stack is preferable but not mandatory. I’ve been looking at BizTalk but it may take too long to develop and deploy. Any suggestions?

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  • Using SQL tables for storing user created level stats. Is there a better way?

    - by Ivan
    I am developing a racing game in which players can create their own tracks and upload them to a server. Players will be able to compare their best track times to their friends and see world records. I was going to generate a table for each track submitted to store the best times of each player who plays the track. However, I can't predict how many will be uploaded and I imagine too many tables might cause problems, or is this a valid method? I considered saving each player's best times in a string in a single table field like so: level1:00.45;level2:00.43;level3:00.12 If I did this I wouldn't need a separate table for each level (each level could just have a row in a 'WorldRecords' table). However, this just causes another problem because the text would eventually reach the limit for varchar length. I also considered storing the times data in XML files. This would avoid database issues and server disk space can be increased if needed. But I imagine this would be very slow. To update one players best time on one level, I would have to check every node in the file to find their time record to update. Apologies for the wall of text. Any suggestions would be appreciated.

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  • Reference Data Management

    - by rahulkamath
    Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} table.MsoTableColorfulListAccent2 {mso-style-name:"Colorful List - Accent 2"; mso-tstyle-rowband-size:1; mso-tstyle-colband-size:1; mso-style-priority:72; mso-style-unhide:no; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-tstyle-shading:#F8EDED; mso-tstyle-shading-themecolor:accent2; mso-tstyle-shading-themetint:25; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Calibri","sans-serif"; color:black; mso-themecolor:text1;} table.MsoTableColorfulListAccent2FirstRow {mso-style-name:"Colorful List - Accent 2"; mso-table-condition:first-row; mso-style-priority:72; mso-style-unhide:no; mso-tstyle-shading:#9E3A38; mso-tstyle-shading-themecolor:accent2; mso-tstyle-shading-themeshade:204; mso-tstyle-border-bottom:1.5pt solid white; mso-tstyle-border-bottom-themecolor:background1; color:white; mso-themecolor:background1; mso-ansi-font-weight:bold; mso-bidi-font-weight:bold;} table.MsoTableColorfulListAccent2LastRow {mso-style-name:"Colorful List - Accent 2"; mso-table-condition:last-row; mso-style-priority:72; mso-style-unhide:no; mso-tstyle-shading:white; mso-tstyle-shading-themecolor:background1; mso-tstyle-border-top:1.5pt solid black; mso-tstyle-border-top-themecolor:text1; color:#9E3A38; mso-themecolor:accent2; mso-themeshade:204; mso-ansi-font-weight:bold; mso-bidi-font-weight:bold;} table.MsoTableColorfulListAccent2FirstCol {mso-style-name:"Colorful List - Accent 2"; mso-table-condition:first-column; mso-style-priority:72; mso-style-unhide:no; mso-ansi-font-weight:bold; mso-bidi-font-weight:bold;} table.MsoTableColorfulListAccent2LastCol {mso-style-name:"Colorful List - Accent 2"; mso-table-condition:last-column; mso-style-priority:72; mso-style-unhide:no; mso-ansi-font-weight:bold; mso-bidi-font-weight:bold;} table.MsoTableColorfulListAccent2OddColumn {mso-style-name:"Colorful List - Accent 2"; mso-table-condition:odd-column; mso-style-priority:72; mso-style-unhide:no; mso-tstyle-shading:#EFD3D2; mso-tstyle-shading-themecolor:accent2; mso-tstyle-shading-themetint:63; mso-tstyle-border-top:cell-none; mso-tstyle-border-left:cell-none; mso-tstyle-border-bottom:cell-none; mso-tstyle-border-right:cell-none; mso-tstyle-border-insideh:cell-none; mso-tstyle-border-insidev:cell-none;} table.MsoTableColorfulListAccent2OddRow {mso-style-name:"Colorful List - Accent 2"; mso-table-condition:odd-row; mso-style-priority:72; mso-style-unhide:no; mso-tstyle-shading:#F2DBDB; mso-tstyle-shading-themecolor:accent2; mso-tstyle-shading-themetint:51;} Reference Data Management Oracle Data Relationship Management (DRM) has always been extremely powerful as an Enterprise MDM solution that can help manage changes to master data in a way that influences enterprise structure, whether it be mastering chart of accounts to enable financial transformation, or revamping organization structures to drive business transformation and operational efficiencies, or mastering sales territories in light of rapid fire acquisitions that require frequent sales territory refinement, equitable distribution of leads and accounts to salespersons, and alignment of budget/forecast with results to optimize sales coverage. Increasingly, DRM is also being utilized by Oracle customers for reference data management, an emerging solution space that deserves some explanation. What is reference data? Reference data is a close cousin of master data. While master data may be more rapidly changing, requires consensus building across stakeholders and lends structure to business transactions, reference data is simpler, more slowly changing, but has semantic content that is used to categorize or group other information assets – including master data – and give them contextual value. The following table contains an illustrative list of examples of reference data by type. Reference data types may include types and codes, business taxonomies, complex relationships & cross-domain mappings or standards. Types & Codes Taxonomies Relationships / Mappings Standards Transaction Codes Industry Classification Categories and Codes, e.g., North America Industry Classification System (NAICS) Product / Segment; Product / Geo Calendars (e.g., Gregorian, Fiscal, Manufacturing, Retail, ISO8601) Lookup Tables (e.g., Gender, Marital Status, etc.) Product Categories City à State à Postal Codes Currency Codes (e.g., ISO) Status Codes Sales Territories (e.g., Geo, Industry Verticals, Named Accounts, Federal/State/Local/Defense) Customer / Market Segment; Business Unit / Channel Country Codes (e.g., ISO 3166, UN) Role Codes Market Segments Country Codes / Currency Codes / Financial Accounts Date/Time, Time Zones (e.g., ISO 8601) Domain Values Universal Standard Products and Services Classification (UNSPSC), eCl@ss International Classification of Diseases (ICD) e.g., ICD9 à IC10 mappings Tax Rates Why manage reference data? Reference data carries contextual value and meaning and therefore its use can drive business logic that helps execute a business process, create a desired application behavior or provide meaningful segmentation to analyze transaction data. Further, mapping reference data often requires human judgment. Sample Use Cases of Reference Data Management Healthcare: Diagnostic Codes The reference data challenges in the healthcare industry offer a case in point. Part of being HIPAA compliant requires medical practitioners to transition diagnosis codes from ICD-9 to ICD-10, a medical coding scheme used to classify diseases, signs and symptoms, causes, etc. The transition to ICD-10 has a significant impact on business processes, procedures, contracts, and IT systems. Since both code sets ICD-9 and ICD-10 offer diagnosis codes of very different levels of granularity, human judgment is required to map ICD-9 codes to ICD-10. The process requires collaboration and consensus building among stakeholders much in the same way as does master data management. Moreover, to build reports to understand utilization, frequency and quality of diagnoses, medical practitioners may need to “cross-walk” mappings -- either forward to ICD-10 or backwards to ICD-9 depending upon the reporting time horizon. Spend Management: Product, Service & Supplier Codes Similarly, as an enterprise looks to rationalize suppliers and leverage their spend, conforming supplier codes, as well as product and service codes requires supporting multiple classification schemes that may include industry standards (e.g., UNSPSC, eCl@ss) or enterprise taxonomies. Aberdeen Group estimates that 90% of companies rely on spreadsheets and manual reviews to aggregate, classify and analyze spend data, and that data management activities account for 12-15% of the sourcing cycle and consume 30-50% of a commodity manager’s time. Creating a common map across the extended enterprise to rationalize codes across procurement, accounts payable, general ledger, credit card, procurement card (P-card) as well as ACH and bank systems can cut sourcing costs, improve compliance, lower inventory stock, and free up talent to focus on value added tasks. Specialty Finance: Point of Sales Transaction Codes and Product Codes In the specialty finance industry, enterprises are confronted with usury laws – governed at the state and local level – that regulate financial product innovation as it relates to consumer loans, check cashing and pawn lending. To comply, it is important to demonstrate that transactions booked at the point of sale are posted against valid product codes that were on offer at the time of booking the sale. Since new products are being released at a steady stream, it is important to ensure timely and accurate mapping of point-of-sale transaction codes with the appropriate product and GL codes to comply with the changing regulations. Multi-National Companies: Industry Classification Schemes As companies grow and expand across geographies, a typical challenge they encounter with reference data represents reconciling various versions of industry classification schemes in use across nations. While the United States, Mexico and Canada conform to the North American Industry Classification System (NAICS) standard, European Union countries choose different variants of the NACE industry classification scheme. Multi-national companies must manage the individual national NACE schemes and reconcile the differences across countries. Enterprises must invest in a reference data change management application to address the challenge of distributing reference data changes to downstream applications and assess which applications were impacted by a given change.

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  • FILESTREAM in SQL Server 2008 R2

    - by CatherineRussell
    Much data is unstructured, such as text documents, images, and videos. This unstructured data is often stored outside the database, separate from its structured data. This separation can cause data management complexities. Or, if the data is associated with structured storage, the file streaming capabilities and performance can be limited. FILESTREAM integrates the SQL Server Database Engine with an NTFS file system by storing varbinary(max) binary large object (BLOB) data as files on the file system. Transact-SQL statements can insert, update, query, search, and back up FILESTREAM data. Win32 file system interfaces provide streaming access to the data. FILESTREAM uses the NT system cache for caching file data. This helps reduce any effect that FILESTREAM data might have on Database Engine performance. The SQL Server buffer pool is not used; therefore, this memory is available for query processing. FILESTREAM data is not encrypted even when transparent data encryption is enabled. To read more, go to: http://technet.microsoft.com/en-us/library/bb933993.aspx

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  • Partner Webcast - Oracle Data Integration Competency Center (DICC): A Niche Market for services

    - by Thanos Terentes Printzios
    Market success now depends on data integration speed. This is why we collected all best practices from the most advanced IT leaders, simply to prove that a Data Integration competency center should be the primary new IT team you should establish. This is a niche market with unlimited potential for partners becoming, the much needed, data integration services provider trusted by customers. We would like to elaborate with OPN Partners on the Business Value Assessment and Total Economic Impact of the Data Integration Platform for End Users, while justifying re-organizing your IT services teams. We are happy to share our research on: The Economical impact of data integration platform/competency center. Justifying strongest reasons and differentiators, using numeric analysis and best-practice in customer case studies from specific industries Utilizing diagnostics and health-check analysis in building a business case for your customers What exactly is so special in the technology of Oracle Data Integration Impact of growing data volume and amount of data sources Analysis of usual solutions that are being implemented so far, addressing key challenges and mistakes During this partner webcast we will balance business case centric content with extensive numerical ROI analysis. Join us to find out how to build a unified approach to moving/sharing/integrating data across the enterprise and why this is an important new services opportunity for partners. Agenda: Data Integration Competency Center Oracle Data Integration Solution Overview Services Niche Market For OPN Summary Q&A Delivery Format This FREE online LIVE eSeminar will be delivered over the Web. Registrations received less than 24hours prior to start time may not receive confirmation to attend. Presenter: Milomir Vojvodic, EMEA Senior Business Development Manager for Oracle Data Integration Product Group Date: Thursday, September 4th, 10pm CEST (8am UTC/11am EEST)Duration: 1 hour Register Today For any questions please contact us at [email protected]

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  • Should one use a separate database for application data and user data?

    - by trycatch
    I’ve been working on a project for a little while and I’m unsure which is the better architecture. I’m interested in the consensus. The answer to me seems fairly obvious but something about it is digging at me and I can't pick out what. The TL;DR is: how do you handle a program with application data and user data in the same DB which needs to be able to receive updates to the application data periodically? One database for user data and one for application, or both in one? The detailed version is.. if an application has a database which needs to maintain application data AND user data, and the user data all references application data, it feels more natural to me to store them in the same database. But if there exists a need to be able to update the application data within this database periodically, should this be stripped into two databases so that one can simply download the updated application data database file as an update and replace the old one? Or should they remain as one database, and the application data be updated via a script which inserts the new data into the existing database? The second sounds clearly preferable to me... but for some reason just doesn’t feel right, and I can't pick out quite why.

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  • Please recommend the best tools to build a test plan management tool

    - by fzkl
    I have mostly worked on hardware testing in my professional career and would like to get onto the software development side. I thought working on a practically usable project will help motivate me and help acquire some skills. I have decided to build a test plan management tool for the QA team I work in (We use excel sheets!). The test plan management tool should be browser based and should support this: There would be many test plans, each test plan having test sets, test sets having test cases and test cases having instructions, attachments and Pass/fail status marking and bug info in case of failure. It should also have an export to excel option. I have a visual picture of the tool I am looking to build but I don't have enough experience to figure our where to start. My current programming skills are limited to C and shell programming and I want to pick up python. What tools (programming language, database and anything else?) would you recommend for me to get this done? Also what are the key concepts in the recommended programming language that I should focus on to build a browser based tool like this?

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  • Oracle Enterprise Manager 12c - New tools announced at OOW

    - by Cinzia Mascanzoni
    Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Calibri","sans-serif"; mso-bidi-font-family:"Times New Roman";} Oracle announced enhanced tools and programs for Oracle Enterprise Manager 12c, including a new Enterprise Manager Extensibility Exchange, updated Oracle PartnerNetwork Enterprise Manager Knowledge Zone, and additional Enterprise Manager Extensibility Kit resources, enabling management of all software and hardware assets from a “single pane of glass,” to help partners accelerate their transformation to the public and private cloud.

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  • SQL 2008/2005 Hosting :: Error - “Named Pipes Provider, error: 40 – Could not open a connection to SQL Server”

    - by mbridge
    When setting up a Microsoft Windows Server 2008 system, I went through the motions to set up IIS, MS SQL Server 2008, and Visual Studio 2010 to use as a test-bed. One of the immediate benefits of setting up such a system is that most development can be done remotely: MS SQL Server Management Studio, Visual Studio’s Web development suite, as well as file shares, remote desktop, etc, make for a great way to remotely develop in ‘pristine’ conditions. But there are drawbacks, too, such as needing to deal with firewall issues, not being able to penetrate past a router or the requirement of setting up a VPN. One of the problems I encountered when trying to remote into the MS SQL Server 2008 that I’d set up was the following error: Named Pipes Provider, error: 40 – Could not open a connection to SQL Server I followed the below steps, and was able to connect to the server after just a few moments of tinkering: 1. From the server in question, surf to this Microsoft article, and download and install the Firewall rules modification program. Never drop your firewall, even on a development machine, unless you have a really good reason to. 2. Launch SQL Server Configuration Manager. Navigate to SQL Server Network Configuration, then Protocols for your server name. Enable TCP/IP and Named Pipes by right-clicking and choosing Enable for each given Protocol Name. 3. Restart the SQL Server service from Services (or from command line, subsequently run “net stop mssqlserver” then “net start mssqlserver”. 4. Try your remote connection once more, and you should be able to connect. It’s not a terribly difficult concept, but one of the more challenging tasks developers face is dealing with environment setup. And while there is a certain blurred-line overlap between software development and server administration, sometimes the latter is daunting, especially given that you might set up only a handful of servers during your career.

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  • WCF Data Service BeginSaveChanges not saving changes in Silverlight app

    - by Enigmativity
    I'm having a hell of a time getting WCF Data Services to work within Silverlight. I'm using the VS2010 RC. I've struggled with the cross domain issue requiring the use of clientaccesspolicy.xml & crossdomain.xml files in the web server root folder, but I just couldn't get this to work. I've resorted to putting both the Silverlight Web App & the WCF Data Service in the same project to get past this issue, but any advice here would be good. But now that I can actually see my data coming from the database and being displayed in a data grid within Silverlight I thought my troubles were over - but no. I can edit the data and the in-memory entity is changing, but when I call BeginSaveChanges (with the appropriate async EndSaveChangescall) I get no errors, but no data updates in the database. Here's my WCF Data Services code: public class MyDataService : DataService<MyEntities> { public static void InitializeService(DataServiceConfiguration config) { config.SetEntitySetAccessRule("*", EntitySetRights.All); config.SetServiceOperationAccessRule("*", ServiceOperationRights.All); config.DataServiceBehavior.MaxProtocolVersion = DataServiceProtocolVersion.V2; } protected override void OnStartProcessingRequest(ProcessRequestArgs args) { base.OnStartProcessingRequest(args); HttpContext context = HttpContext.Current; HttpCachePolicy c = HttpContext.Current.Response.Cache; c.SetCacheability(HttpCacheability.ServerAndPrivate); c.SetExpires(HttpContext.Current.Timestamp.AddSeconds(60)); c.VaryByHeaders["Accept"] = true; c.VaryByHeaders["Accept-Charset"] = true; c.VaryByHeaders["Accept-Encoding"] = true; c.VaryByParams["*"] = true; } } I've pinched the OnStartProcessingRequest code from Scott Hanselman's article Creating an OData API for StackOverflow including XML and JSON in 30 minutes. Here's my code from my Silverlight app: private MyEntities _wcfDataServicesEntities; private CollectionViewSource _customersViewSource; private ObservableCollection<Customer> _customers; private void UserControl_Loaded(object sender, RoutedEventArgs e) { if (!System.ComponentModel.DesignerProperties.GetIsInDesignMode(this)) { _wcfDataServicesEntities = new MyEntities(new Uri("http://localhost:7156/MyDataService.svc/")); _customersViewSource = this.Resources["customersViewSource"] as CollectionViewSource; DataServiceQuery<Customer> query = _wcfDataServicesEntities.Customer; query.BeginExecute(result => { _customers = new ObservableCollection<Customer>(); Array.ForEach(query.EndExecute(result).ToArray(), _customers.Add); Dispatcher.BeginInvoke(() => { _customersViewSource.Source = _customers; }); }, null); } } private void button1_Click(object sender, RoutedEventArgs e) { _wcfDataServicesEntities.BeginSaveChanges(r => { var response = _wcfDataServicesEntities.EndSaveChanges(r); string[] results = new[] { response.BatchStatusCode.ToString(), response.IsBatchResponse.ToString() }; _customers[0].FinAssistCompanyName = String.Join("|", results); }, null); } The response string I get back data binds to my grid OK and shows "-1|False". My intent is to get a proof-of-concept working here and then do the appropriate separation of concerns to turn this into a simple line-of-business app. I've spent hours and hours on this. I'm being driven insane. Any ideas how to get this working?

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  • Serial port : Read data problem, not reading complete data

    - by Anuj Mehta
    Hi I have an application where I am sending data via serial port from PC1 (Java App) and reading that data in PC2 (C++ App). The problem that I am facing is that my PC2 (C++ App) is not able to read complete data sent by PC1 i.e. from my PC1 I am sending 190 bytes but PC2 is able to read close to 140 bytes though I am trying to read in a loop. Below is code snippet of my C++ App Open the connection to serial port serialfd = open( serialPortName.c_str(), O_RDWR | O_NOCTTY | O_NDELAY); if (serialfd == -1) { /* * Could not open the port. */ TRACE << "Unable to open port: " << serialPortName << endl; } else { TRACE << "Connected to serial port: " << serialPortName << endl; fcntl(serialfd, F_SETFL, 0); } Configure the Serial Port parameters struct termios options; /* * Get the current options for the port... */ tcgetattr(serialfd, &options); /* * Set the baud rates to 9600... */ cfsetispeed(&options, B38400); cfsetospeed(&options, B38400); /* * 8N1 * Data bits - 8 * Parity - None * Stop bits - 1 */ options.c_cflag &= ~PARENB; options.c_cflag &= ~CSTOPB; options.c_cflag &= ~CSIZE; options.c_cflag |= CS8; /* * Enable hardware flow control */ options.c_cflag |= CRTSCTS; /* * Enable the receiver and set local mode... */ options.c_cflag |= (CLOCAL | CREAD); // Flush the earlier data tcflush(serialfd, TCIFLUSH); /* * Set the new options for the port... */ tcsetattr(serialfd, TCSANOW, &options); Now I am reading data const int MAXDATASIZE = 512; std::vector<char> m_vRequestBuf; char buffer[MAXDATASIZE]; int totalBytes = 0; fcntl(serialfd, F_SETFL, FNDELAY); while(1) { bytesRead = read(serialfd, &buffer, MAXDATASIZE); if(bytesRead == -1) { //Sleep for some time and read again usleep(900000); } else { totalBytes += bytesRead; //Add data read to vector for(int i =0; i < bytesRead; i++) { m_vRequestBuf.push_back(buffer[i]); } int newBytesRead = 0; //Now keep trying to read more data while(newBytesRead != -1) { //clear contents of buffer memset((void*)&buffer, 0, sizeof(char) * MAXDATASIZE); newBytesRead = read(serialfd, &buffer, MAXDATASIZE); totalBytes += newBytesRead; for(int j = 0; j < newBytesRead; j++) { m_vRequestBuf.push_back(buffer[j]); } }//inner while break; } //while

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  • Insert Error:CREATE DATABASE permission denied in database 'master'. cannot attach the file

    - by user1300580
    i have a register page on my website I am creating and it saves the data entered by the user into a database however when I click the register button i am coming across the following error: Insert Error:CREATE DATABASE permission denied in database 'master'. Cannot attach the file 'C:\Users\MyName\Documents\MyName\Docs\Project\SJ\App_Data\SJ-Database.mdf' as database 'SJ-Database'. These are my connection strings: <connectionStrings> <add name="ApplicationServices" connectionString="data source=.\SQLEXPRESS;Integrated Security=SSPI;AttachDBFilename=|DataDirectory|\aspnetdb.mdf;User Instance=true" providerName="System.Data.SqlClient"/> <add name="MyConsString" connectionString="data source=.\SQLEXPRESS;Integrated Security=SSPI;AttachDBFilename=|DataDirectory|SJ-Database.mdf; Initial Catalog=SJ-Database; Integrated Security=SSPI;" providerName="System.Data.SqlClient" /> </connectionStrings> Register page code: using System; using System.Collections.Generic; using System.Linq; using System.Web; using System.Web.UI; using System.Web.UI.WebControls; using System.Data; using System.Data.SqlClient; public partial class About : System.Web.UI.Page { protected void Page_Load(object sender, EventArgs e) { } public string GetConnectionString() { //sets the connection string from your web config file "ConnString" is the name of your Connection String return System.Configuration.ConfigurationManager.ConnectionStrings["MyConsString"].ConnectionString; } private void ExecuteInsert(string name, string gender, string age, string address, string email) { SqlConnection conn = new SqlConnection(GetConnectionString()); string sql = "INSERT INTO Register (Name, Gender, Age, Address, Email) VALUES " + " (@Name,@Gender,@Age,@Address,@Email)"; try { conn.Open(); SqlCommand cmd = new SqlCommand(sql, conn); SqlParameter[] param = new SqlParameter[6]; //param[0] = new SqlParameter("@id", SqlDbType.Int, 20); param[0] = new SqlParameter("@Name", SqlDbType.VarChar, 50); param[1] = new SqlParameter("@Gender", SqlDbType.Char, 10); param[2] = new SqlParameter("@Age", SqlDbType.Int, 100); param[3] = new SqlParameter("@Address", SqlDbType.VarChar, 50); param[4] = new SqlParameter("@Email", SqlDbType.VarChar, 50); param[0].Value = name; param[1].Value = gender; param[2].Value = age; param[3].Value = address; param[4].Value = email; for (int i = 0; i < param.Length; i++) { cmd.Parameters.Add(param[i]); } cmd.CommandType = CommandType.Text; cmd.ExecuteNonQuery(); } catch (System.Data.SqlClient.SqlException ex) { string msg = "Insert Error:"; msg += ex.Message; throw new Exception(msg); } finally { conn.Close(); } } protected void cmdRegister_Click(object sender, EventArgs e) { if (txtRegEmail.Text == txtRegEmailCon.Text) { //call the method to execute insert to the database ExecuteInsert(txtRegName.Text, txtRegAge.Text, ddlRegGender.SelectedItem.Text, txtRegAddress.Text, txtRegEmail.Text); Response.Write("Record was successfully added!"); ClearControls(Page); } else { Response.Write("Email did not match"); txtRegEmail.Focus(); } } public static void ClearControls(Control Parent) { if (Parent is TextBox) { (Parent as TextBox).Text = string.Empty; } else { foreach (Control c in Parent.Controls) ClearControls(c); } } }

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  • sql perfomance on new server

    - by Rapunzo
    My database is running on a pc (AMD Phenom x6, intel ssd disk, 8GB DDR3 RAM and windows 7 OS + sql server 2008 R2 sp3 ) and it started working hard, timeout problems and up to 30 seconds long queries after 200 mb of database And I also have an old server pc (IBM x-series 266: 72*3 15k rpm scsi discs with raid5, 4 gb ram and windows server 2003 + sql server 2008 R2 sp3 ) and same query start to give results in 100 seconds.. I tried query analyser tool for tuning my indexed. but not so much improvements. its a big dissapointment for me. because I thought even its an old server pc it should be more powerfull with 15k rpm discs with raid5. what should I do. do I need $10.000 new server to get a good performance for my sql server? cant I use that IBM server? Extra information: there is 50 sql users and its an ERP program. There is my query ALTER FUNCTION [dbo].[fnDispoTerbiye] ( ) RETURNS TABLE AS RETURN ( SELECT MD.dispoNo, SV.sevkNo, M1.musteriAdi AS musteri, SD.tipTurId, TT.tipTur, SD.tipNo, SD.desenNo, SD.varyantNo, SUM(T.topMetre) AS toplamSevkMetre, MD.dispoMetresi, DT.gelisMetresi, ISNULL(DT.fire, 0) AS fire, SV.sevkTarihi, DT.gelisTarihi, SP.mamulTermin, SD.miktar AS siparisMiktari, M.musteriAdi AS boyahane, MD.akisNotu AS islemler, --dbo.fnAkisIslemleri(MD.dispoNo) DT.partiNo, DT.iplikBoyaId, B.tanimAd AS BoyaTuru, MAX(HD.hamEn) AS hamEn, MAX(HD.hamGramaj) AS hamGramaj, TS.mamulEn, TS.mamulGramaj, DT.atkiCekmesi, DT.cozguCekmesi, DT.fiyat, DV.dovizCins, DT.dovizId, (SELECT CASE WHEN DT.dovizId = 2 THEN CAST(round(SUM(T .topMetre) * DT.fiyat * (SELECT TOP 1 satis FROM tblKur WHERE dovizId = 2 ORDER BY tarih DESC), 2) AS numeric(18, 2)) WHEN DT.dovizId = 3 THEN CAST(round(SUM(T .topMetre) * DT.fiyat * (SELECT TOP 1 satis FROM tblKur WHERE dovizId = 3 ORDER BY tarih DESC), 2) AS numeric(18, 2)) WHEN DT.dovizId = 1 THEN CAST(round(SUM(T .topMetre) * DT.fiyat * (SELECT TOP 1 satis FROM tblKur WHERE dovizId = 1 ORDER BY tarih DESC), 2) AS numeric(18, 2)) END AS Expr1) AS ToplamTLfiyat, DT.aciklama, MD.dispoNotu, SD.siparisId, SD.siparisDetayId, DT.sqlUserName, DT.kayitTarihi, O.orguAd, 'Çözgü=(' + (SELECT dbo.fnTipIplikler(SD.tipTurId, SD.tipNo, SD.desenNo, SD.varyantNo, 1) AS Expr1) + ')' + ' Atki=(' + (SELECT dbo.fnTipIplikler(SD.tipTurId, SD.tipNo, SD.desenNo, SD.varyantNo, 2) AS Expr1) + ')' AS iplikAciklama, DT.prosesOk, dbo.[fnYikamaTalimat](SP.siparisId) yikamaTalimati FROM tblDoviz AS DV WITH(NOLOCK) INNER JOIN tblDispoTerbiye AS DT WITH(NOLOCK) INNER JOIN tblTanimlar AS B WITH(NOLOCK) ON DT.iplikBoyaId = B.tanimId AND B.tanimTurId = 2 ON DV.id = DT.dovizId RIGHT OUTER JOIN tblMusteri AS M1 WITH(NOLOCK) INNER JOIN tblSiparisDetay AS SD WITH(NOLOCK) INNER JOIN tblDispo AS MD WITH(NOLOCK) ON SD.siparisDetayId = MD.siparisDetayId INNER JOIN tblTipTur AS TT WITH(NOLOCK) ON SD.tipTurId = TT.tipTurId INNER JOIN tblSiparis AS SP WITH(NOLOCK) ON SD.siparisId = SP.siparisId ON M1.musteriNo = SP.musteriNo INNER JOIN tblTip AS TP WITH(NOLOCK) ON SD.tipTurId = TP.tipTurId AND SD.tipNo = TP.tipNo AND SD.desenNo = TP.desen AND SD.varyantNo = TP.varyant INNER JOIN tblOrgu AS O WITH(NOLOCK) ON TP.orguId = O.orguId INNER JOIN tblMusteri AS M WITH(NOLOCK) INNER JOIN tblSevkiyat AS SV WITH(NOLOCK) ON M.musteriNo = SV.musteriNo INNER JOIN tblSevkDetay AS SVD WITH(NOLOCK) ON SV.sevkNo = SVD.sevkNo ON MD.mamulDispoHamSevkno = SV.sevkNo LEFT OUTER JOIN tblTop AS T WITH(NOLOCK) INNER JOIN tblDispo AS HD WITH(NOLOCK) ON T.dispoNo = HD.dispoNo AND T.dispoTuruId = HD.dispoTuruId ON SVD.dispoTuruId = T.dispoTuruId AND SVD.dispoNo = T.dispoNo AND SVD.topNo = T.topNo AND MD.siparisDetayId = HD.siparisDetayId ON DT.dispoTuruId = MD.dispoTuruId AND DT.dispoNo = MD.dispoNo LEFT OUTER JOIN tblDispoTerbiyeTest AS TS WITH(NOLOCK) ON DT.dispoTuruId = TS.dispoTuruId AND DT.dispoNo = TS.dispoNo --WHERE DT.gelisTarihi IS NULL -- OR DT.gelisTarihi > GETDATE()-30 GROUP BY MD.dispoNo, DT.partiNo, DT.iplikBoyaId, TS.mamulEn, TS.mamulGramaj, DT.gelisMetresi, DT.gelisTarihi, DT.atkiCekmesi, DT.cozguCekmesi, DT.fire, DT.fiyat, DT.aciklama, DT.sqlUserName, DT.kayitTarihi, SD.tipTurId, TT.tipTur, SD.tipNo, SD.desenNo, SD.varyantNo, SD.siparisId, SD.siparisDetayId, B.tanimAd, M.musteriAdi, M.musteriAdi, M1.musteriAdi, O.orguAd, TP.iplikAciklama, SD.miktar, MD.dispoNotu, SP.mamulTermin, DT.dovizId, DV.dovizCins, MD.dispoMetresi, MD.akisNotu, SV.sevkNo, SV.sevkTarihi, DT.prosesOk,SP.siparisId )

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  • Join and sum not compatible matrices through data.table

    - by leodido
    My goal is to "sum" two not compatible matrices (matrices with different dimensions) using (and preserving) row and column names. I've figured this approach: convert the matrices to data.table objects, join them and then sum columns vectors. An example: > M1 1 3 4 5 7 8 1 0 0 1 0 0 0 3 0 0 0 0 0 0 4 1 0 0 0 0 0 5 0 0 0 0 0 0 7 0 0 0 0 1 0 8 0 0 0 0 0 0 > M2 1 3 4 5 8 1 0 0 1 0 0 3 0 0 0 0 0 4 1 0 0 0 0 5 0 0 0 0 0 8 0 0 0 0 0 > M1 %ms% M2 1 3 4 5 7 8 1 0 0 2 0 0 0 3 0 0 0 0 0 0 4 2 0 0 0 0 0 5 0 0 0 0 0 0 7 0 0 0 0 1 0 8 0 0 0 0 0 0 This is my code: M1 <- matrix(c(0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0), byrow = TRUE, ncol = 6) colnames(M1) <- c(1,3,4,5,7,8) M2 <- matrix(c(0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0), byrow = TRUE, ncol = 5) colnames(M2) <- c(1,3,4,5,8) # to data.table objects DT1 <- data.table(M1, keep.rownames = TRUE, key = "rn") DT2 <- data.table(M2, keep.rownames = TRUE, key = "rn") # join and sum of common columns if (nrow(DT1) > nrow(DT2)) { A <- DT2[DT1, roll = TRUE] A[, list(X1 = X1 + X1.1, X3 = X3 + X3.1, X4 = X4 + X4.1, X5 = X5 + X5.1, X7, X8 = X8 + X8.1), by = rn] } That outputs: rn X1 X3 X4 X5 X7 X8 1: 1 0 0 2 0 0 0 2: 3 0 0 0 0 0 0 3: 4 2 0 0 0 0 0 4: 5 0 0 0 0 0 0 5: 7 0 0 0 0 1 0 6: 8 0 0 0 0 0 0 Then I can convert back this data.table to a matrix and fix row and column names. The questions are: how to generalize this procedure? I need a way to automatically create list(X1 = X1 + X1.1, X3 = X3 + X3.1, X4 = X4 + X4.1, X5 = X5 + X5.1, X7, X8 = X8 + X8.1) because i want to apply this function to matrices which dimensions (and row/columns names) are not known in advance. In summary I need a merge procedure that behaves as described. there are other strategies/implementations that achieve the same goal that are, at the same time, faster and generalized? (hoping that some data.table monster help me) to what kind of join (inner, outer, etc. etc.) is assimilable this procedure? Thanks in advance. p.s.: I'm using data.table version 1.8.2 EDIT - SOLUTIONS @Aaron solution. No external libraries, only base R. It works also on list of matrices. add_matrices_1 <- function(...) { a <- list(...) cols <- sort(unique(unlist(lapply(a, colnames)))) rows <- sort(unique(unlist(lapply(a, rownames)))) out <- array(0, dim = c(length(rows), length(cols)), dimnames = list(rows,cols)) for (m in a) out[rownames(m), colnames(m)] <- out[rownames(m), colnames(m)] + m out } @MadScone solution. Used reshape2 package. It works only on two matrices per call. add_matrices_2 <- function(m1, m2) { m <- acast(rbind(melt(M1), melt(M2)), Var1~Var2, fun.aggregate = sum) mn <- unique(colnames(m1), colnames(m2)) rownames(m) <- mn colnames(m) <- mn m } BENCHMARK (100 runs with microbenchmark package) Unit: microseconds expr min lq median uq max 1 add_matrices_1 196.009 257.5865 282.027 291.2735 549.397 2 add_matrices_2 13737.851 14697.9790 14864.778 16285.7650 25567.448 No need to comment the benchmark: @Aaron solution wins. I'll continue to investigate a similar solution for data.table objects. I'll add other solutions eventually reported or discovered.

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