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  • Brad's Sure DBA Checklist

    Sometimes, all a DBA needs, to help with day-to-day work, is a checklist of best-practices and dos and don’ts. It provides a handy reminder. Brad has come up with a new update to his famous checklist

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  • Creating a podcast feed for iTunes & BlackBerry users using WCF Syndication

    - by brian_ritchie
     In my previous post, I showed how to create a RSS feed using WCF Syndication.  Next, I'll show how to add the additional tags needed to turn a RSS feed into an iTunes podcast.   A podcast is merely a RSS feed with some special characteristics: iTunes RSS tags.  These are additional tags beyond the standard RSS spec.  Apple has a good page on the requirements. Audio file enclosure.  This is a link to the audio file (such as mp3) hosted by your site.  Apple doesn't host the audio, they just read the meta-data from the RSS feed into their system. The SyndicationFeed class supports both AttributeExtensions & ElementExtensions to add custom tags to the RSS feeds. A couple of points of interest in the code below: The imageUrl below provides the album cover for iTunes (170px × 170px) Each SyndicationItem corresponds to an audio episode in your podcast So, here's the code: .csharpcode, .csharpcode pre { font-size: small; color: black; font-family: Consolas, "Courier New", Courier, Monospace; background-color: #ffffff; /*white-space: pre;*/ } .csharpcode pre { margin: 0em; } .csharpcode .rem { color: #008000; } .csharpcode .kwrd { color: #0000ff; } .csharpcode .str { color: #006080; } .csharpcode .op { color: #0000c0; } .csharpcode .preproc { color: #cc6633; } .csharpcode .asp { background-color: #ffff00; } .csharpcode .html { color: #800000; } .csharpcode .attr { color: #ff0000; } .csharpcode .alt { background-color: #f4f4f4; width: 100%; margin: 0em; } .csharpcode .lnum { color: #606060; } 1: XNamespace itunesNS = "http://www.itunes.com/dtds/podcast-1.0.dtd"; 2: string prefix = "itunes"; 3:   4: var feed = new SyndicationFeed(title, description, new Uri(link)); 5: feed.Categories.Add(new SyndicationCategory(category)); 6: feed.AttributeExtensions.Add(new XmlQualifiedName(prefix, 7: "http://www.w3.org/2000/xmlns/"), itunesNS.NamespaceName); 8: feed.Copyright = new TextSyndicationContent(copyright); 9: feed.Language = "en-us"; 10: feed.Copyright = new TextSyndicationContent(DateTime.Now.Year + " " + ownerName); 11: feed.ImageUrl = new Uri(imageUrl); 12: feed.LastUpdatedTime = DateTime.Now; 13: feed.Authors.Add(new SyndicationPerson() {Name=ownerName, Email=ownerEmail }); 14: var extensions = feed.ElementExtensions; 15: extensions.Add(new XElement(itunesNS + "subtitle", subTitle).CreateReader()); 16: extensions.Add(new XElement(itunesNS + "image", 17: new XAttribute("href", imageUrl)).CreateReader()); 18: extensions.Add(new XElement(itunesNS + "author", ownerName).CreateReader()); 19: extensions.Add(new XElement(itunesNS + "summary", description).CreateReader()); 20: extensions.Add(new XElement(itunesNS + "category", 21: new XAttribute("text", category), 22: new XElement(itunesNS + "category", 23: new XAttribute("text", subCategory))).CreateReader()); 24: extensions.Add(new XElement(itunesNS + "explicit", "no").CreateReader()); 25: extensions.Add(new XDocument( 26: new XElement(itunesNS + "owner", 27: new XElement(itunesNS + "name", ownerName), 28: new XElement(itunesNS + "email", ownerEmail))).CreateReader()); 29:   30: var feedItems = new List<SyndicationItem>(); 31: foreach (var i in Items) 32: { 33: var item = new SyndicationItem(i.title, null, new Uri(link)); 34: item.Summary = new TextSyndicationContent(i.summary); 35: item.Id = i.id; 36: if (i.publishedDate != null) 37: item.PublishDate = (DateTimeOffset)i.publishedDate; 38: item.Links.Add(new SyndicationLink() { 39: Title = i.title, Uri = new Uri(link), 40: Length = i.size, MediaType = i.mediaType }); 41: var itemExt = item.ElementExtensions; 42: itemExt.Add(new XElement(itunesNS + "subtitle", i.subTitle).CreateReader()); 43: itemExt.Add(new XElement(itunesNS + "summary", i.summary).CreateReader()); 44: itemExt.Add(new XElement(itunesNS + "duration", 45: string.Format("{0}:{1:00}:{2:00}", 46: i.duration.Hours, i.duration.Minutes, i.duration.Seconds) 47: ).CreateReader()); 48: itemExt.Add(new XElement(itunesNS + "keywords", i.keywords).CreateReader()); 49: itemExt.Add(new XElement(itunesNS + "explicit", "no").CreateReader()); 50: itemExt.Add(new XElement("enclosure", new XAttribute("url", i.url), 51: new XAttribute("length", i.size), new XAttribute("type", i.mediaType))); 52: feedItems.Add(item); 53: } 54:   55: feed.Items = feedItems; If you're hosting your podcast feed within a MVC project, you can use the code from my previous post to stream it. Once you have created your feed, you can use the Feed Validator tool to make sure it is up to spec.  Or you can use iTunes: Launch iTunes. In the Advanced menu, select Subscribe to Podcast. Enter your feed URL in the text box and click OK. After you've verified your feed is solid & good to go, you can submit it to iTunes.  Launch iTunes. In the left navigation column, click on iTunes Store to open the store. Once the store loads, click on Podcasts along the top navigation bar to go to the Podcasts page. In the right column of the Podcasts page, click on the Submit a Podcast link. Follow the instructions on the Submit a Podcast page. Here are the full instructions.  Once they have approved your podcast, it will be available within iTunes. RIM has also gotten into the podcasting business...which is great for BlackBerry users.  They accept the same enhanced-RSS feed that iTunes uses, so just create an account with them & submit the feed's URL.  It goes through a similar approval process to iTunes.  BlackBerry users must be on BlackBerry 6 OS or download the Podcast App from App World. In my next post, I'll show how to build the podcast feed dynamically from the ID3 tags within the MP3 files.

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  • Membership in ASP.Net applications - part 1

    - by nikolaosk
    So far in all my posts, I have never mentioned anything about how to implement authentication/authorisation mechanisms in a web site. In all our professional web applications we do need some sort of mechanism to verify who are users are and what privileges have in our site. This is the first post in a series of posts investigating how to implement membership (authentication+authorisation) in ASP.Net applications. We will look into the built-in web server security controls.We will look at the built...(read more)

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  • SQL SERVER – Identify Numbers of Non Clustered Index on Tables for Entire Database

    - by pinaldave
    Here is the script which will give you numbers of non clustered indexes on any table in entire database. SELECT COUNT(i.TYPE) NoOfIndex, [schema_name] = s.name, table_name = o.name FROM sys.indexes i INNER JOIN sys.objects o ON i.[object_id] = o.[object_id] INNER JOIN sys.schemas s ON o.[schema_id] = s.[schema_id] WHERE o.TYPE IN ('U') AND i.TYPE = 2 GROUP BY s.name, o.name ORDER BY schema_name, table_name Here is the small story behind why this script was needed. I recently went to meet my friend in his office and he introduced me to his colleague in office as someone who is an expert in SQL Server Indexing. I politely said I am yet learning about Indexing and have a long way to go. My friend’s colleague right away said – he had a suggestion for me with related to Index. According to him he was looking for a script which will count all the non clustered on all the tables in the database and he was not able to find that on SQLAuthority.com. I was a bit surprised as I really do not remember all the details about what I have written so far. I quickly pull up my phone and tried to look for the script on my custom search engine and he was correct. I never wrote a script which will count all the non clustered indexes on tables in the whole database. Excessive indexing is not recommended in general. If you have too many indexes it will definitely negatively affect your performance. The above query will quickly give you details of numbers of indexes on tables on your entire database. You can quickly glance and use the numbers as reference. Please note that the number of the index is not a indication of bad indexes. There is a lot of wisdom I can write here but that is not the scope of this blog post. There are many different rules with Indexes and many different scenarios. For example – a table which is heap (no clustered index) is often not recommended on OLTP workload (here is the blog post to identify them), drop unused indexes with careful observation (here is the script for it), identify missing indexes and after careful testing add them (here is the script for it). Even though I have given few links here it is just the tip of the iceberg. If you follow only above four advices your ship may still sink. Those who wants to learn the subject in depth can watch the videos here after logging in. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Index, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • SQL Server v.Next (Denali) : OS compatibility & upgrade support

    - by AaronBertrand
    Microsoft's Manageability PPM Dan Jones has asked for our feedback on their proposed list of supported operating systems and upgrade paths for the next version of SQL Server. (See the original post ). This has generated all kinds of spirited debates on twitter, in protected mailing lists, and in private e-mail. If you're going to be involved in moving to Denali, you should be aware of these proposals and stay on top of the discussion until the results are in. (The media are starting to pick up on...(read more)

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  • 5 Useful Wordpress Plugins For Google Adsense

    - by Jyoti
    Google Adsense has become the most popular online contextual advertising program and proper custom integration with Wordpress can help to increase Adsense earnings. Now on this post we have describe 5 useful wordpress plugin for google adsense. Few weeks ago we did a "10 Wordpress Plugins For Google Adsense ". Wordpress allows bloggers to easily integrate Google Adsense inside wordpress using plugins. Adsense Integrator : The Adsense Integrator plugin supports lot of programs other then adsense like AdBrite, AffiliateBOT, SHAREASALE, LinkShare, ClickBank, Oxado, Adpinion, AdGridWork, Adroll, Commission Junction, CrispAds, ShoppingAds, Yahoo!PN so this can be used when you are looking to have adsense as well as other alternatives. The rest of the features of the plugin are same where you give your adsense code into options field and it get inserted into blog posts. All In One Adsense And YPN : This is one of the most powerful adsense plugin for wordpress. Jut like other plugins, you can use this to insert your ads in the post but the plugin has some really good features like randomness which shows ad at random location in your blog which reduces ad blindness for viewers. You can also stop ads being shown on some pages using tags. Adsense Now : Other then the previous plugins , you can also give it a try to Adsense now. I haven’t used it (I have only used the first two) so its difficult to comment on it. It looks to be a lightweight plugin which insert adsense ads between posts and in posts body. Adsense Manager : Adsense Manager is one of the most popular and used plugin to manage adsense in wordpress blogs. Infact its newer version not only supports adsense, it also supports various other programs like adbrite, Commission Junction, YPN etc which makes it very powerful ad management plugin. You can inject adsense code anywhere in your blog posts as well as can put in different regions of your blog. Easy Adsense : Easy adsense is one of the new wordpress adsense plugin and that is why more feature rich. You can have different code for different themes using this plugin. It also support link units. To know all features, check out the plugin page.

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  • Oracle Security Inside Out Newsletter – June Edition

    - by Troy Kitch
    This month’s Information In Depth Newsletter, Security Inside Out Edition is now available. In this edition we look at the Gartner Security and Risk Management Summit 2011, discuss safeguarding data from threats with Oracle Database Vault, and reveal the latest database security webcasts, videos, training, events and more. If you don’t have a subscription to this bi-monthly security information update, you can sign up here at the bottom of the page.

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  • Where can I find alternatives to...?

    - by jumpnett
    There has been a couple questions here regarding alternatives to certain programs, and I'm sure as more people start using Ubuntu, and join this site, there will be more people looking for alternatives to programs they used in there previous operating system. Therefore I figured I start a thread to list different sites that list alternatives to programs. (Please just post one link per answer). Here is my favorite site to look for alternatives: alternativeTo

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  • What blogging clients are available?

    - by jokerdino
    I regularly blog on both Wordpress and Blogger platform and as such, desktop clients are far more convenient than browser based clients. When I used Windows, I was using a desktop blogging client called Windows Live Writer. Are there any Ubuntu alternatives for blogging clients available? Features expected: Multiple blog support Post drafts to the blog Save drafts locally Add tags / categories Upload media

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  • Visual Studio Editor Mistakenly released Visual Studio 2013 on Twitter.

    - by Anirudha
    Originally posted on: http://geekswithblogs.net/anirugu/archive/2013/10/17/visual-studio-editor-mistakenly-released-visual-studio-2013-on-twitter.aspxFrom the first tweet shown in the image it’s look like Microsoft have released Visual Studio 2013. The link is certainly not worked.  The given link show that post not found Not Found: Resource Not Found The Account who posted this can be found here https://twitter.com/VSEditor   Update:- Here is all confusion clear http://blogs.msdn.com/b/visualstudio/archive/2013/10/17/visual-studio-2013-released-to-web.aspx

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  • Auto Mocking using JustMock

    - by mehfuzh
    Auto mocking containers are designed to reduce the friction of keeping unit test beds in sync with the code being tested as systems are updated and evolve over time. This is one sentence how you define auto mocking. Of course this is a more or less formal. In a more informal way auto mocking containers are nothing but a tool to keep your tests synced so that you don’t have to go back and change tests every time you add a new dependency to your SUT or System Under Test. In Q3 2012 JustMock is shipped with built in auto mocking container. This will help developers to have all the existing fun they are having with JustMock plus they can now mock object with dependencies in a more elegant way and without needing to do the homework of managing the graph. If you are not familiar with auto mocking then I won't go ahead and educate you rather ask you to do so from contents that is already made available out there from community as this is way beyond the scope of this post. Moving forward, getting started with Justmock auto mocking is pretty simple. First, I have to reference Telerik.JustMock.Container.DLL from the installation folder along with Telerik.JustMock.DLL (of course) that it uses internally and next I will write my tests with mocking container. It's that simple! In this post first I will mock the target with dependencies using current method and going forward do the same with auto mocking container. In short the sample is all about a report builder that will go through all the existing reports, send email and log any exception in that process. This is somewhat my  report builder class looks like: Reporter class depends on the following interfaces: IReporBuilder: used to  create and get the available reports IReportSender: used to send the reports ILogger: used to log any exception. Now, if I just write the test without using an auto mocking container it might end up something like this: Now, it looks fine. However, the only issue is that I am creating the mock of each dependency that is sort of a grunt work and if you have ever changing list of dependencies then it becomes really hard to keep the tests in sync. The typical example is your ASP.NET MVC controller where the number of service dependencies grows along with the project. The same test if written with auto mocking container would look like: Here few things to observe: I didn't created mock for each dependencies There is no extra step creating the Reporter class and sending in the dependencies Since ILogger is not required for the purpose of this test therefore I can be completely ignorant of it. How cool is that ? Auto mocking in JustMock is just released and we also want to extend it even further using profiler that will let me resolve not just interfaces but concrete classes as well. But that of course starts the debate of code smell vs. working with legacy code. Feel free to send in your expert opinion in that regard using one of telerik’s official channels. Hope that helps

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  • SQLAuthority News MS Access Database is the Way to Go April 1st Humor

    First of all, today is April 1- April Fools Day, so I have written this post for some light entertainment. My friend has just sent me an email about why a person should go for Access Database. For a short background, I used to be an MS Access user once (I will not call myself [...]...Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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  • SQLPeople Interviews - Steve Fibich and Cindy Gross

    - by andyleonard
    Introduction Late last year I announced an exciting new endeavor called SQLPeople . At the end of 2010 I announced the 2010 SQLPeople Person of the Year . Check out these new interviews from some cool SQLPeople ! Interviews To Date Cindy Gross Steve Fibich Tim Mitchell Jeremiah Peschka Crys Manson Ben McEwan Thomas LaRock Lori Edwards Brent Ozar Michael Coles Rob Farley Jamie Thomson Conclusion I plan to post two or three interviews each week for the forseeable future. SQLPeople is just one of the...(read more)

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  • The Work Order Printing Challenge

    - by celine.beck
    One of the biggest concerns we've heard from maintenance practitioners is the ability to print and batch print work order details along with its accompanying attachments. Indeed, maintenance workers traditionally rely on work order packets to complete their job. A standard work order packet can include a variety of information like equipment documentation, operating instructions, checklists, end-of-task feedback forms and the likes. Now, the problem is that most Asset Lifecycle Management applications do not provide a simple and efficient solution for process printing with document attachments. Work order forms can be easily printed but attachments are usually left out of the printing process. This sounds like a minor problem, but when you are processing high volume of work orders on a regular basis, this inconvenience can result in important inefficiencies. In order to print work order and its related attachments, maintenance personnel need to print the work order details and then go back to the work order and open each individual attachment using the proper authoring application to view and print each document. The printed output is collated into a work order packet. The AutoVue Document Print Service products that were just released in April 2010 aim at helping organizations address the work order printing challenge. Customers and partners can leverage the AutoVue Document Print Services to build a complete printing solution that complements their existing print server solution with AutoVue's document- and platform-agnostic document print services. The idea is to leverage AutoVue's printing services to invoke printing either programmatically or manually directly from within the work order management application, and efficiently process the printing of complete work order packets, including all types of attachments, from office files to more advanced engineering documents like 2D CAD drawings. Oracle partners like MIPRO Consulting, specialists in PeopleSoft implementations, have already expressed interest in the AutoVue Document Print Service products for their ability to offer print services to the PeopleSoft ALM suite, so that customers are able to print packages of documents for maintenance personnel. For more information on the subject, please consult MIPRO Consulting's article entitled Unsung Value: Primavera and AutoVue Integration into PeopleSoft posted on their blog. The blog post entitled Introducing AutoVue Document Print Service provides additional information on how the solution works. We would also love to hear what your thoughts are on the topic, so please do not hesitate to post your comments/feedback on our blog. Related Articles: Introducing AutoVue Document Print Service Print Any Document Type with AutoVue Document Print Services

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  • Microsoft Seeks Feedback on SQL Server Denali

    Dan Jones Principal Program Manager of Microsoft s SQL Server Manageability team recently created a blog post asking for feedback on three topics concerning SQL Server Code Name Denali. The feedback is essential to Jones and the Microsoft team as it helps them see how they can tweak the Denali adoption process to better suit user needs.... Display the VeriSign seal And increase sales by an average of 24%. Start your trial today

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  • Set up grub2 on cloned Ubuntu installation

    - by ptikobj
    With an Ubuntu Live Disc, I have copied my Ubuntu 10.04 installation to a new harddisk (with the same hardware). However, it doesn't boot, since I think I still need to set up grub for this new installation. How do I set up grub2 for a copied Ubuntu installation? All the tutorials for grub2 didn't really help me... running update-grub on the "original" Ubuntu installation doesn't find the copied Ubuntu installation.

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  • SQL SERVER – Faster SQL Server Databases and Applications – Power and Control with SafePeak Caching Options

    - by Pinal Dave
    Update: This blog post is written based on the SafePeak, which is available for free download. Today, I’d like to examine more closely one of my preferred technologies for accelerating SQL Server databases, SafePeak. Safepeak’s software provides a variety of advanced data caching options, techniques and tools to accelerate the performance and scalability of SQL Server databases and applications. I’d like to look more closely at some of these options, as some of these capabilities could help you address lagging database and performance on your systems. To better understand the available options, it is best to start by understanding the difference between the usual “Basic Caching” vs. SafePeak’s “Dynamic Caching”. Basic Caching Basic Caching (or the stale and static cache) is an ability to put the results from a query into cache for a certain period of time. It is based on TTL, or Time-to-live, and is designed to stay in cache no matter what happens to the data. For example, although the actual data can be modified due to DML commands (update/insert/delete), the cache will still hold the same obsolete query data. Meaning that with the Basic Caching is really static / stale cache.  As you can tell, this approach has its limitations. Dynamic Caching Dynamic Caching (or the non-stale cache) is an ability to put the results from a query into cache while maintaining the cache transaction awareness looking for possible data modifications. The modifications can come as a result of: DML commands (update/insert/delete), indirect modifications due to triggers on other tables, executions of stored procedures with internal DML commands complex cases of stored procedures with multiple levels of internal stored procedures logic. When data modification commands arrive, the caching system identifies the related cache items and evicts them from cache immediately. In the dynamic caching option the TTL setting still exists, although its importance is reduced, since the main factor for cache invalidation (or cache eviction) become the actual data updates commands. Now that we have a basic understanding of the differences between “basic” and “dynamic” caching, let’s dive in deeper. SafePeak: A comprehensive and versatile caching platform SafePeak comes with a wide range of caching options. Some of SafePeak’s caching options are automated, while others require manual configuration. Together they provide a complete solution for IT and Data managers to reach excellent performance acceleration and application scalability for  a wide range of business cases and applications. Automated caching of SQL Queries: Fully/semi-automated caching of all “read” SQL queries, containing any types of data, including Blobs, XMLs, Texts as well as all other standard data types. SafePeak automatically analyzes the incoming queries, categorizes them into SQL Patterns, identifying directly and indirectly accessed tables, views, functions and stored procedures; Automated caching of Stored Procedures: Fully or semi-automated caching of all read” stored procedures, including procedures with complex sub-procedure logic as well as procedures with complex dynamic SQL code. All procedures are analyzed in advance by SafePeak’s  Metadata-Learning process, their SQL schemas are parsed – resulting with a full understanding of the underlying code, objects dependencies (tables, views, functions, sub-procedures) enabling automated or semi-automated (manually review and activate by a mouse-click) cache activation, with full understanding of the transaction logic for cache real-time invalidation; Transaction aware cache: Automated cache awareness for SQL transactions (SQL and in-procs); Dynamic SQL Caching: Procedures with dynamic SQL are pre-parsed, enabling easy cache configuration, eliminating SQL Server load for parsing time and delivering high response time value even in most complicated use-cases; Fully Automated Caching: SQL Patterns (including SQL queries and stored procedures) that are categorized by SafePeak as “read and deterministic” are automatically activated for caching; Semi-Automated Caching: SQL Patterns categorized as “Read and Non deterministic” are patterns of SQL queries and stored procedures that contain reference to non-deterministic functions, like getdate(). Such SQL Patterns are reviewed by the SafePeak administrator and in usually most of them are activated manually for caching (point and click activation); Fully Dynamic Caching: Automated detection of all dependent tables in each SQL Pattern, with automated real-time eviction of the relevant cache items in the event of “write” commands (a DML or a stored procedure) to one of relevant tables. A default setting; Semi Dynamic Caching: A manual cache configuration option enabling reducing the sensitivity of specific SQL Patterns to “write” commands to certain tables/views. An optimization technique relevant for cases when the query data is either known to be static (like archive order details), or when the application sensitivity to fresh data is not critical and can be stale for short period of time (gaining better performance and reduced load); Scheduled Cache Eviction: A manual cache configuration option enabling scheduling SQL Pattern cache eviction based on certain time(s) during a day. A very useful optimization technique when (for example) certain SQL Patterns can be cached but are time sensitive. Example: “select customers that today is their birthday”, an SQL with getdate() function, which can and should be cached, but the data stays relevant only until 00:00 (midnight); Parsing Exceptions Management: Stored procedures that were not fully parsed by SafePeak (due to too complex dynamic SQL or unfamiliar syntax), are signed as “Dynamic Objects” with highest transaction safety settings (such as: Full global cache eviction, DDL Check = lock cache and check for schema changes, and more). The SafePeak solution points the user to the Dynamic Objects that are important for cache effectiveness, provides easy configuration interface, allowing you to improve cache hits and reduce cache global evictions. Usually this is the first configuration in a deployment; Overriding Settings of Stored Procedures: Override the settings of stored procedures (or other object types) for cache optimization. For example, in case a stored procedure SP1 has an “insert” into table T1, it will not be allowed to be cached. However, it is possible that T1 is just a “logging or instrumentation” table left by developers. By overriding the settings a user can allow caching of the problematic stored procedure; Advanced Cache Warm-Up: Creating an XML-based list of queries and stored procedure (with lists of parameters) for periodically automated pre-fetching and caching. An advanced tool allowing you to handle more rare but very performance sensitive queries pre-fetch them into cache allowing high performance for users’ data access; Configuration Driven by Deep SQL Analytics: All SQL queries are continuously logged and analyzed, providing users with deep SQL Analytics and Performance Monitoring. Reduce troubleshooting from days to minutes with database objects and SQL Patterns heat-map. The performance driven configuration helps you to focus on the most important settings that bring you the highest performance gains. Use of SafePeak SQL Analytics allows continuous performance monitoring and analysis, easy identification of bottlenecks of both real-time and historical data; Cloud Ready: Available for instant deployment on Amazon Web Services (AWS). As you can see, there are many options to configure SafePeak’s SQL Server database and application acceleration caching technology to best fit a lot of situations. If you’re not familiar with their technology, they offer free-trial software you can download that comes with a free “help session” to help get you started. You can access the free trial here. Also, SafePeak is available to use on Amazon Cloud. Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: PostADay, SQL, SQL Authority, SQL Performance, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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  • Interpolation using a sprite's previous frame and current frame

    - by user22241
    Overview I'm currently using a method which has been pointed out to me is extrapolation rather than interolation. As a result, I'm also now looking into the possibility of using another method which is based on a sprite's position at it's last (rendered) frame and it's current one. Assuming an interpolation value of 0.5 this is, (visually), how I understand it should affect my sprite's position.... This is how I'm obtaining an inerpolation value: public void onDrawFrame(GL10 gl) { // Set/re-set loop back to 0 to start counting again loops=0; while(System.currentTimeMillis() > nextGameTick && loops < maxFrameskip) { SceneManager.getInstance().getCurrentScene().updateLogic(); nextGameTick += skipTicks; timeCorrection += (1000d / ticksPerSecond) % 1; nextGameTick += timeCorrection; timeCorrection %= 1; loops++; tics++; } interpolation = (float)(System.currentTimeMillis() + skipTicks - nextGameTick) / (float)skipTicks; render(interpolation); } I am then applying it like so (in my rendering call): render(float interpolation) { spriteScreenX = (spriteScreenX - spritePreviousX) * interpolation + spritePreviousX; spritePreviousX = spriteScreenX; // update and store this for next time } Results This unfortunately does nothing to smooth the movement of my sprite. It's pretty much the same as without the interpolation code. I can't get my head around how this is supposed to work and I honestly can't find any decent resources which explain this in any detail. My understanding of extrapolation is that when we arrive at the rendering call, we calculate the time between the last update call and the render call, and then adjust the sprite's position to reflect this time (moving the sprite forward) - And yet, this (Interpolation) is moving the sprite back, so how can this produce smooth results? Any advise on this would be very much appreciated. Edit I've implemented the code from OriginalDaemon's answer like so: @Override public void onDrawFrame(GL10 gl) { newTime = System.currentTimeMillis()*0.001; frameTime = newTime - currentTime; if ( frameTime > (dt*25)) frameTime = (dt*25); currentTime = newTime; accumulator += frameTime; while ( accumulator >= dt ) { SceneManager.getInstance().getCurrentScene().updateLogic(); previousState = currentState; t += dt; accumulator -= dt; } interpolation = (float) (accumulator / dt); render(); } Interpolation values are now being produced between 0 and 1 as expected (similar to how they were in my original loop) - however, the results are the same as my original loop (my original loop allowed frames to skip if they took too long to draw which I think this loop is also doing). I appear to have made a mistake in my previous logging, it is logging as I would expect it to (interpolated position does appear to be inbetween the previous and current positions) - however, the sprites are most definitely choppy when the render() skipping happens.

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  • Performance problems loading XML with SSIS, an alternative way!

    - by AtulThakor
    I recently needed to load several thousand XML files into a SQL database, I created an SSIS package which was created as followed: Using a foreach container to loop through a directory and load each file path into a variable, the “Import XML” dataflow would then load each XML file into a SQL table.       Running this, it took approximately 1 second to load each file which seemed a massive amount of time to parse the XML and load the data, speaking to my colleague Martin Croft, he suggested the use of T-SQL Bulk Insert and OpenRowset, so we adjusted the package as followed:     The same foreach container was used but instead the following SQL command was executed (this is an expression):     "INSERT INTO MyTable(FileDate) SELECT   CAST(bulkcolumn AS XML)     FROM OPENROWSET(         BULK         '" + @[User::CurrentFile]  + "',         SINGLE_BLOB ) AS x"     Using this method we managed to load approximately 20 records per second, much faster…for data loading! For what we wanted to achieve this was perfect but I’ll leave you with the following points when making your own decision on which solution you decide to choose!      Openrowset Method Much faster to get the data into SQL You’ll need to parse or create a view over the XML data to allow the data to be more usable(another post on this!) Not able to apply validation/transformation against the data when loading it The SQL Server service account will need permission to the file No schema validation when loading files SSIS Slower (in our case) Schema validation Allows you to apply transformations/joins to the data Permissions should be less of a problem Data can be loaded into the final form through the package When using a schema validation errors can fail the package (I’ll do another post on this)

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  • Upcoming Script# Release and LIDNUG presentation

    A quick heads up on a Script# presentation for the Linked.NET user group on LinkedIn, and some words (ummm... teasers) on the upcoming script# release...[Full post continued here...]...Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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  • Of C# Iterators and Performance

    - by James Michael Hare
    Some of you reading this will be wondering, "what is an iterator" and think I'm locked in the world of C++.  Nope, I'm talking C# iterators.  No, not enumerators, iterators.   So, for those of you who do not know what iterators are in C#, I will explain it in summary, and for those of you who know what iterators are but are curious of the performance impacts, I will explore that as well.   Iterators have been around for a bit now, and there are still a bunch of people who don't know what they are or what they do.  I don't know how many times at work I've had a code review on my code and have someone ask me, "what's that yield word do?"   Basically, this post came to me as I was writing some extension methods to extend IEnumerable<T> -- I'll post some of the fun ones in a later post.  Since I was filtering the resulting list down, I was using the standard C# iterator concept; but that got me wondering: what are the performance implications of using an iterator versus returning a new enumeration?   So, to begin, let's look at a couple of methods.  This is a new (albeit contrived) method called Every(...).  The goal of this method is to access and enumeration and return every nth item in the enumeration (including the first).  So Every(2) would return items 0, 2, 4, 6, etc.   Now, if you wanted to write this in the traditional way, you may come up with something like this:       public static IEnumerable<T> Every<T>(this IEnumerable<T> list, int interval)     {         List<T> newList = new List<T>();         int count = 0;           foreach (var i in list)         {             if ((count++ % interval) == 0)             {                 newList.Add(i);             }         }           return newList;     }     So basically this method takes any IEnumerable<T> and returns a new IEnumerable<T> that contains every nth item.  Pretty straight forward.   The problem?  Well, Every<T>(...) will construct a list containing every nth item whether or not you care.  What happens if you were searching this result for a certain item and find that item after five tries?  You would have generated the rest of the list for nothing.   Enter iterators.  This C# construct uses the yield keyword to effectively defer evaluation of the next item until it is asked for.  This can be very handy if the evaluation itself is expensive or if there's a fair chance you'll never want to fully evaluate a list.   We see this all the time in Linq, where many expressions are chained together to do complex processing on a list.  This would be very expensive if each of these expressions evaluated their entire possible result set on call.    Let's look at the same example function, this time using an iterator:       public static IEnumerable<T> Every<T>(this IEnumerable<T> list, int interval)     {         int count = 0;         foreach (var i in list)         {             if ((count++ % interval) == 0)             {                 yield return i;             }         }     }   Notice it does not create a new return value explicitly, the only evidence of a return is the "yield return" statement.  What this means is that when an item is requested from the enumeration, it will enter this method and evaluate until it either hits a yield return (in which case that item is returned) or until it exits the method or hits a yield break (in which case the iteration ends.   Behind the scenes, this is all done with a class that the CLR creates behind the scenes that keeps track of the state of the iteration, so that every time the next item is asked for, it finds that item and then updates the current position so it knows where to start at next time.   It doesn't seem like a big deal, does it?  But keep in mind the key point here: it only returns items as they are requested. Thus if there's a good chance you will only process a portion of the return list and/or if the evaluation of each item is expensive, an iterator may be of benefit.   This is especially true if you intend your methods to be chainable similar to the way Linq methods can be chained.    For example, perhaps you have a List<int> and you want to take every tenth one until you find one greater than 10.  We could write that as:       List<int> someList = new List<int>();         // fill list here         someList.Every(10).TakeWhile(i => i <= 10);     Now is the difference more apparent?  If we use the first form of Every that makes a copy of the list.  It's going to copy the entire list whether we will need those items or not, that can be costly!    With the iterator version, however, it will only take items from the list until it finds one that is > 10, at which point no further items in the list are evaluated.   So, sounds neat eh?  But what's the cost is what you're probably wondering.  So I ran some tests using the two forms of Every above on lists varying from 5 to 500,000 integers and tried various things.    Now, iteration isn't free.  If you are more likely than not to iterate the entire collection every time, iterator has some very slight overhead:   Copy vs Iterator on 100% of Collection (10,000 iterations) Collection Size Num Iterated Type Total ms 5 5 Copy 5 5 5 Iterator 5 50 50 Copy 28 50 50 Iterator 27 500 500 Copy 227 500 500 Iterator 247 5000 5000 Copy 2266 5000 5000 Iterator 2444 50,000 50,000 Copy 24,443 50,000 50,000 Iterator 24,719 500,000 500,000 Copy 250,024 500,000 500,000 Iterator 251,521   Notice that when iterating over the entire produced list, the times for the iterator are a little better for smaller lists, then getting just a slight bit worse for larger lists.  In reality, given the number of items and iterations, the result is near negligible, but just to show that iterators come at a price.  However, it should also be noted that the form of Every that returns a copy will have a left-over collection to garbage collect.   However, if we only partially evaluate less and less through the list, the savings start to show and make it well worth the overhead.  Let's look at what happens if you stop looking after 80% of the list:   Copy vs Iterator on 80% of Collection (10,000 iterations) Collection Size Num Iterated Type Total ms 5 4 Copy 5 5 4 Iterator 5 50 40 Copy 27 50 40 Iterator 23 500 400 Copy 215 500 400 Iterator 200 5000 4000 Copy 2099 5000 4000 Iterator 1962 50,000 40,000 Copy 22,385 50,000 40,000 Iterator 19,599 500,000 400,000 Copy 236,427 500,000 400,000 Iterator 196,010       Notice that the iterator form is now operating quite a bit faster.  But the savings really add up if you stop on average at 50% (which most searches would typically do):     Copy vs Iterator on 50% of Collection (10,000 iterations) Collection Size Num Iterated Type Total ms 5 2 Copy 5 5 2 Iterator 4 50 25 Copy 25 50 25 Iterator 16 500 250 Copy 188 500 250 Iterator 126 5000 2500 Copy 1854 5000 2500 Iterator 1226 50,000 25,000 Copy 19,839 50,000 25,000 Iterator 12,233 500,000 250,000 Copy 208,667 500,000 250,000 Iterator 122,336   Now we see that if we only expect to go on average 50% into the results, we tend to shave off around 40% of the time.  And this is only for one level deep.  If we are using this in a chain of query expressions it only adds to the savings.   So my recommendation?  If you have a resonable expectation that someone may only want to partially consume your enumerable result, I would always tend to favor an iterator.  The cost if they iterate the whole thing does not add much at all -- and if they consume only partially, you reap some really good performance gains.   Next time I'll discuss some of my favorite extensions I've created to make development life a little easier and maintainability a little better.

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  • Today’s Performance Tip: Views are for Convenience, Not Performance!

    - by Jonathan Kehayias
    I tweeted this last week on twitter and got a lot of retweets so I thought that I’d blog the story behind the tweet. Most vendor databases have views in them, and when people want to retrieve data from a database, it seems like the most common first stop they make are the vendor supplied Views.  This post is in no way a bash against the usage or creation of Views in a SQL Server Database, I have created them before to simplify code and compartmentalize commonly required queries so that there...(read more)

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