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  • July, the 31 Days of SQL Server DMO’s – Day 29 (sys.dm_os_buffer_descriptors)

    - by Tamarick Hill
    The sys.dm_os_buffer_descriptors Dynamic Management View gives you a look into the data pages that are currently in your SQL Server buffer pool. Just in case you are not familiar with some of the internals to SQL Server and how the engine works, SQL Server only works with objects that are in memory (buffer pool). When an object such as a table needs to be read and it does not exist in the buffer pool, SQL Server will read (copy) the necessary data page(s) from disk into the buffer pool and cache it. Caching takes place so that it can be reused again and prevents the need of expensive physical reads. To better illustrate this DMV, lets query it against our AdventureWorks2012 database and view the result set. SELECT * FROM sys.dm_os_buffer_descriptors WHERE database_id = db_id('AdventureWorks2012') The first column returned from this result set is the database_id column which identifies the specific database for a given row. The file_id column represents the file that a particular buffer descriptor belongs to. The page_id column represents the ID for the data page within the buffer. The page_level column represents the index level of the data page. Next we have the allocation_unit_id column which identifies a unique allocation unit. An allocation unit is basically a set of data pages. The page_type column tells us exactly what type of page is in the buffer pool. From my screen shot above you see I have 3 distinct type of Pages in my buffer pool, Index, Data, and IAM pages. Index pages are pages that are used to build the Root and Intermediate levels of a B-Tree. A Data page would represent the actual leaf pages of a clustered index which contain the actual data for the table. Without getting into too much detail, an IAM page is Index Allocation Map page which track GAM (Global Allocation Map) pages which in turn track extents on your system. The row_count column details how many data rows are present on a given page. The free_space_in_bytes tells you how much of a given data page is still available, remember pages are 8K in size. The is_modified signifies whether or not a page has been changed since it has been read into memory, .ie a dirty page. The numa_node column represents the Nonuniform memory access node for the buffer. Lastly is the read_microsec column which tells you how many microseconds it took for a data page to be read (copied) into the buffer pool. This is a great DMV for use when you are tracking down a memory issue or if you just want to have a look at what type of pages are currently in your buffer pool. For more information about this DMV, please see the below Books Online link: http://msdn.microsoft.com/en-us/library/ms173442.aspx Follow me on Twitter @PrimeTimeDBA

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  • PandoraBar Packs Pandora Radio Client into a Compact Case

    - by Jason Fitzpatrick
    This stylish and compact build makes it easy to enjoy streaming radio without the bulk and overhead of running your entire computer to do so. Check out the video to see the compact streaming radio box in action. Courtesy of tinker blog Engscope, we find this clean Pandora-client-in-box build. Currently the project blog has a cursory overview of the project with the demo video but promises future updates detailing the software and hardware components of the build. If you can’t wait that long, make sure to check out some of the previous Wi-Fi radio builds we’ve shared: DIY Wi-Fi Radio Brings Wireless Tunes Anywhere in Your House and Wi-Fi Speakers Stream Music Anywhere. Pandobar [via Hacked Gadgets] How To Create a Customized Windows 7 Installation Disc With Integrated Updates How to Get Pro Features in Windows Home Versions with Third Party Tools HTG Explains: Is ReadyBoost Worth Using?

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  • Quote of the Day: Substitutions

    - by BuckWoody
    “Ours is the age of substitutes: Instead of language we have jargon, instead of principles, slogans, and instead of genuine ideas, bright suggestions.”  Eric Bently Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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  • Where is the SQL Azure Development Environment

    - by BuckWoody
    Recently I posted an entry explaining that you can develop in Windows Azure without having to connect to the main service on the Internet, using the Software Development Kit (SDK) which installs two emulators - one for compute and the other for storage. That brought up the question of the same kind of thing for SQL Azure. The short answer is that there isn’t one. While we’ll make the development experience for all versions of SQL Server, including SQL Azure more easy to write against, you can simply treat it as another edition of SQL Server. For instance, many of us use the SQL Server Developer Edition - which in versions up to 2008 is actually the Enterprise Edition - to develop our code. We might write that code against all kinds of environments, from SQL Express through Enterprise Edition. We know which features work on a certain edition, what T-SQL it supports and so on, and develop accordingly. We then test on the actual platform to ensure the code runs as expected. You can simply fold SQL Azure into that same development process. When you’re ready to deploy, if you’re using SQL Server Management Studio 2008 R2 or higher, you can script out the database when you’re done as a SQL Azure script (with change notifications where needed) by selecting the right “Engine Type” on the scripting panel: (Thanks to David Robinson for pointing this out and my co-worker Rick Shahid for the screen-shot - saved me firing up a VM this morning!) Will all this change? Will SSMS, “Data Dude” and other tools change to include SQL Azure? Well, I don’t have a specific roadmap for those tools, but we’re making big investments on Windows Azure and SQL Azure, so I can say that as time goes on, it will get easier. For now, make sure you know what features are and are not included in SQL Azure, and what T-SQL is supported. Here are a couple of references to help: General Guidelines and Limitations: http://msdn.microsoft.com/en-us/library/ee336245.aspx Transact-SQL Supported by SQL Azure: http://msdn.microsoft.com/en-us/library/ee336250.aspx SQL Azure Learning Plan: http://blogs.msdn.com/b/buckwoody/archive/2010/12/13/windows-azure-learning-plan-sql-azure.aspx

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  • Third-Grade Math Class

    - by andyleonard
    An Odd Thing Happened... ... when I was in third grade math class: I was handed a sheet of arithmetic problems to solve. There were maybe 20 problems on the page and we were given the remainder of the class to complete them. I don't remember how much time remained in the class, I remember I finished working on the problems before my classmates. That wasn't the odd part. The odd part was that I started working on the first problem, concentrating pretty hard. I worked the sum and moved to the next...(read more)

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  • Quote of the Day: Substitutions

    - by BuckWoody
    “Ours is the age of substitutes: Instead of language we have jargon, instead of principles, slogans, and instead of genuine ideas, bright suggestions.”  Eric Bently Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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  • Compute Scalars, Expressions and Execution Plan Performance

    - by Paul White
    The humble Compute Scalar is one of the least well-understood of the execution plan operators, and usually the last place people look for query performance problems. It often appears in execution plans with a very low (or even zero) cost, which goes some way to explaining why people ignore it. Some readers will already know that a Compute Scalar can contain a call to a user-defined function, and that any T-SQL function with a BEGIN…END block in its definition can have truly disastrous consequences...(read more)

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  • July, the 31 Days of SQL Server DMO’s – Day 25 (sys.dm_db_missing_index_details)

    - by Tamarick Hill
    The sys.dm_db_missing_index_details Dynamic Management View is used to return information about missing indexes on your SQL Server instances. These indexes are ones that the optimizer has identified as indexes it would like to use but did not have. You may also see these same indexes indicated in other tools such as query execution plans or the Database tuning advisor. Let’s execute this DMV so we can review the information it provides us. I do not have any missing index information for my AdventureWorks2012 database, but for the purposes of illustrating the result set of this DMV, I will present the results from my msdb database. SELECT * FROM sys.dm_db_missing_index_details The first column presented is the index_handle which uniquely identifies a particular missing index. The next two columns represent the database_id and the object_id for the particular table in question. Next is the ‘equality_columns’ column which gives you a list of columns (comma separated) that would be beneficial to the optimizer for equality operations. By equality operation I mean for any queries that would use a filter or join condition such as WHERE A = B. The next column, ‘inequality_columns’, gives you a comma separated list of columns that would be beneficial to the optimizer for inequality operations. An inequality operation is anything other than A = B. For example, “WHERE A != B”, “WHERE A > B”, “WHERE A < B”, and “WHERE A <> B” would all qualify as inequality. Next is the ‘included_columns’ column which list all columns that would be beneficial to the optimizer for purposes of providing a covering index and preventing key/bookmark lookups. Lastly is the ‘statement’ column which lists the name of the table where the index is missing. This DMV can help you identify potential indexes that could be added to improve the performance of your system. However, I will advise you not to just take the output of this DMV and create an index for everything you see. Everything listed here should be analyzed and then tested on a Development or Test system before implementing into a Production environment. For more information on this DMV, please see the below Books Online link: http://msdn.microsoft.com/en-us/library/ms345434.aspx Follow me on Twitter @PrimeTimeDBA

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  • Windows Azure Learning Plan - Compute

    - by BuckWoody
    This is one in a series of posts on a Windows Azure Learning Plan. You can find the main post here. This one deals with the "compute" function of Windows Azure, which includes Configuration Files, the Web Role, the Worker Role, and the VM Role. There is a general programming guide for Windows Azure that you can find here to help with the overall process.   Configuration Files Configuration Files define the environment for a Windows Azure application, similar to an ASP.NET application. This section explains how to work with these. General Introduction and Overview http://blogs.itmentors.com/bill/2009/11/04/configuration-files-and-windows-azure/ Service Definition File Schema http://msdn.microsoft.com/en-us/library/ee758711.aspx Service Configuration File Schema http://msdn.microsoft.com/en-us/library/ee758710.aspx  Windows Azure Web Role The Web Role runs code (such as ASP pages) that require a User Interface. Web Role "Boot Camp" Video  https://msevents.microsoft.com/CUI/WebCastEventDetails.aspx?culture=en-US&EventID=1032470854&CountryCode=US Web Role Deployment Checklist http://blogs.infragistics.com/blogs/anton_staykov/archive/2010/06/30/windows-azure-web-role-deployment-checklist.aspx  Using a Web Role as a Worker Role for Small Applications http://www.31a2ba2a-b718-11dc-8314-0800200c9a66.com/2010/12/how-to-combine-worker-and-web-role-in.html Windows Azure Worker Role  The Worker Role is used for code that does not require a direct User Interface. Worker Role "Boot Camp" Video https://msevents.microsoft.com/CUI/WebCastEventDetails.aspx?culture=en-US&EventID=1032470871&CountryCode=US Worker Role versus Web Roles http://msdn.microsoft.com/en-us/library/gg433012.aspx Deploying other applications (like Java) in a Windows Azure Worker Role http://blogs.msdn.com/b/mariok/archive/2011/01/05/deploying-java-applications-in-azure.aspx Windows Azure VM Role The Windows Azure VM Role is an Operating System-level mechanism for code deployment. VM Role Overview and Details  http://msdn.microsoft.com/en-us/library/gg465398.aspx  The proper use of the VM Role http://blogs.msdn.com/b/buckwoody/archive/2010/12/28/the-proper-use-of-the-vm-role-in-windows-azure.aspx

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  • Making meetings much more efficient

    - by John Paul Cook
    Water. Yes, it’s that simple. There needs to be a rule that whoever convenes a meeting be required to drink water. Half a liter of water when the meeting begins and another half a liter every half hour thereafter. That simple rule will motivate the meeting organizer to find closure quickly – and the exit. What day did I post this? Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!...(read more)

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  • SQL Server 2012 content on Channel 9

    - by jamiet
    A mountain of SQL Server 2012 video content featuring Greg Low, Jonathan Kehayias, Joe Sack and Roger Doherty has just been released on Channel 9. Channel 9 has great support for tags and RSS feeds so if you want to automatically download all of that content simply you can add the following RSS feed: http://channel9.msdn.com/Tags/sql+server+2012/RSS to your podcast reader of choice and have fun learning about all the new features in SQL Server 2012 such as: AlwaysOn Power View SSDT SSRS Data Alerts SSAS Tabular Modelling DAX Improvements MDS improvements SSIS improvements DQS StreamInsight improvements Data-Tier Apps (DACs) LocalDB FileTable Spatial improvements T-SQL paging Distributed Replay XEvents improvements ADO.Net Code-first T-SQL improvements Server roles Partitioning improvements ColumnStore Whew, quite a list! @jamiet

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  • concurrency::accelerator

    - by Daniel Moth
    Overview An accelerator represents a "target" on which C++ AMP code can execute and where data can reside. Typically (but not necessarily) an accelerator is a GPU device. Accelerators are represented in C++ AMP as objects of the accelerator class. For many scenarios, you do not need to obtain an accelerator object, since the runtime has a notion of a default accelerator, which is what it thinks is the best one in the system. Examples where you need to deal with accelerator objects are if you need to pick your own accelerator (based on your specific criteria), or if you need to use more than one accelerators from your app. Construction and operator usage You can query and obtain a std::vector of all the accelerators on your system, which the runtime discovers on startup. Beyond enumerating accelerators, you can also create one directly by passing to the constructor a system-wide unique path to a device if you know it (i.e. the “Device Instance Path” property for the device in Device Manager), e.g. accelerator acc(L"PCI\\VEN_1002&DEV_6898&SUBSYS_0B001002etc"); There are some predefined strings (for predefined accelerators) that you can pass to the accelerator constructor (and there are corresponding constants for those on the accelerator class itself, so you don’t have to hardcode them every time). Examples are the following: accelerator::default_accelerator represents the default accelerator that the C++ AMP runtime picks for you if you don’t pick one (the heuristics of how it picks one will be covered in a future post). Example: accelerator acc; accelerator::direct3d_ref represents the reference rasterizer emulator that simulates a direct3d device on the CPU (in a very slow manner). This emulator is available on systems with Visual Studio installed and is useful for debugging. More on debugging in general in future posts. Example: accelerator acc(accelerator::direct3d_ref); accelerator::direct3d_warp represents a target that I will cover in future blog posts. Example: accelerator acc(accelerator::direct3d_warp); accelerator::cpu_accelerator represents the CPU. In this first release the only use of this accelerator is for using the staging arrays technique that I'll cover separately. Example: accelerator acc(accelerator::cpu_accelerator); You can also create an accelerator by shallow copying another accelerator instance (via the corresponding constructor) or simply assigning it to another accelerator instance (via the operator overloading of =). Speaking of operator overloading, you can also compare (for equality and inequality) two accelerator objects between them to determine if they refer to the same underlying device. Querying accelerator characteristics Given an accelerator object, you can access its description, version, device path, size of dedicated memory in KB, whether it is some kind of emulator, whether it has a display attached, whether it supports double precision, and whether it was created with the debugging layer enabled for extensive error reporting. Below is example code that accesses some of the properties; in your real code you'd probably be checking one or more of them in order to pick an accelerator (or check that the default one is good enough for your specific workload): void inspect_accelerator(concurrency::accelerator acc) { std::wcout << "New accelerator: " << acc.description << std::endl; std::wcout << "is_debug = " << acc.is_debug << std::endl; std::wcout << "is_emulated = " << acc.is_emulated << std::endl; std::wcout << "dedicated_memory = " << acc.dedicated_memory << std::endl; std::wcout << "device_path = " << acc.device_path << std::endl; std::wcout << "has_display = " << acc.has_display << std::endl; std::wcout << "version = " << (acc.version >> 16) << '.' << (acc.version & 0xFFFF) << std::endl; } accelerator_view In my next blog post I'll cover a related class: accelerator_view. Suffice to say here that each accelerator may have from 1..n related accelerator_view objects. You can get the accelerator_view from an accelerator via the default_view property, or create new ones by invoking the create_view method that creates an accelerator_view object for you (by also accepting a queuing_mode enum value of deferred or immediate that we'll also explore in the next blog post). Comments about this post by Daniel Moth welcome at the original blog.

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  • Analysis Services Tabular books #ssas #tabular

    - by Marco Russo (SQLBI)
    Many people are looking for books about Analysis Services Tabular. Today there are two books available and they complement each other: Microsoft SQL Server 2012 Analysis Services: The BISM Tabular Model by Marco Russo, Alberto Ferrari and Chris Webb Applied Microsoft SQL Server 2012 Analysis Services: Tabular Modeling by Teo Lachev The book I wrote with Alberto and Chris is a complete guide to create tabular models and has a good coverage about DAX, including how to use it for enriching a semantic model with calculated columns and measures and how to use it for querying a Tabular model. In my experience, DAX as a query language is a very interesting option for custom analytical applications that requires a fast calculation engine, or simply for standard reports running in Reporting Services and accessing a Tabular model. You can freely preview the table of content and read some excerpts from the book on Safari Books Online. The book is in printing and should be shipped within mid-July, so finally it will be very soon on the shelf of all the people already preordered it! The Teo Lachev’s book, covers the full spectrum of Tabular models provided by Microsoft: starting with self-service BI, you have users creating a model with PowerPivot for Excel, publishing it to PowerPivot for SharePoint and exploring data by using Power View; then, the PowerPivot for Excel model can be imported in a Tabular model and published in Analysis Services, adding more control on the model through row-level security and partitioning, for example. Teo’s book follows a step-by-step approach describing each feature that is very good for a beginner that is new to PowerPivot and/or to BISM Tabular. If you need to get the big picture and to start using the products that are part of the new Microsoft wave of BI products, the Teo’s book is for you. After you read the book from Teo, or if you already have a certain confidence with PowerPivot or BISM Tabular and you want to go deeper about internals, best practices, design patterns in just BISM Tabular, then our book is a suggested read: it contains several chapters about DAX, includes discussions about new opportunities in data model design offered by Tabular models, and also provides examples of optimizations you can obtain in DAX and best practices in data modeling and queries. It might seem strange that an author write a review of a book that might seem to compete with his one, but in reality these two books complement each other and are not alternatives. If you have any doubt, buy both: you will be not disappointed! Moreover, Amazon usually offers you a deal to buy three books, including the Visualizing Data with Microsoft Power View, another good choice for getting all the details about Power View.

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  • Why We Write #6-An Interview with Kevin Kline

    - by drsql
    Wow, so far in this series, I have interviewed some very good friends, and some truly excellent writers (and usually both), but today, following on the heels of Jason Strate , we are going to hit someone whose name is synonymous with community, a person who really needs no introduction. According to Bing, Kevin Kline ( @kekline ) is the most important Kevin Kline on Twitter (though it clearly could be due to my typical searches, I am giving him the benefit of the doubt… here try it yourself: http://www.bing.com/search?q=kevin+kline+twitter...(read more)

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  • Query Tuning Mastery at PASS Summit 2012: The Video

    - by Adam Machanic
    An especially clever community member was kind enough to reverse-engineer the video stream for me, and came up with a direct link to the PASS TV video stream for my Query Tuning Mastery: The Art and Science of Manhandling Parallelism talk, delivered at the PASS Summit last Thursday. I'm not sure how long this link will work , but I'd like to share it for my readers who were unable to see it in person or live on the stream. Start here. Skip past the keynote, to the 149 minute mark. Enjoy!...(read more)

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  • SQL Server 2012 Memory Manager KB articles

    - by SQLOS Team
    Since the release of SQL Server 2012 with a redesigned memory manager, a steady stream of KB articles have been produced by CSS to provide guidance on the new or changed options, as well as fixes that have been published..   How has memory sizing changed in SQL 2012? 2663912 Memory configuration and sizing considerations in SQL Server 2012 - http://support.microsoft.com/default.aspx?scid=kb;EN-US;2663912     Setting "locked pages" to avoid SQL Server memory pages getting swapped has been simplified, particularly for Standard Edition, the details can be found here: 2659143 How to enable the "locked pages" feature in SQL Server 2012 - http://support.microsoft.com/default.aspx?scid=kb;EN-US;2659143   Note the following deprecation (particularly relevant for 32-bit installations): 2644592 The "AWE enabled" SQL Server feature is deprecated - http://support.microsoft.com/default.aspx?scid=kb;EN-US;2644592   Note the following fixes available: 2708594 FIX: Locked page allocations are enabled without any warning after you upgrade to SQL Server 2012 - http://support.microsoft.com/kb/2708594/EN-US 2688697 FIX: Out-of-memory error when you run an instance of SQL Server 2012 on a computer that uses NUMA - http://support.microsoft.com/kb/2688697/EN-US Originally posted at http://blogs.msdn.com/b/sqlosteam/

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  • Hadoop growing pains

    - by Piotr Rodak
    This post is not going to be about SQL Server. I have been reading recently more and more about “Big Data” – very catchy term that describes untamed increase of the data that mankind is producing each day and the struggle to capture the meaning of these data. Ten years ago, and perhaps even three years ago this need was not so recognized. Increasing number of smartphones and discernable trend of mainstream Internet traffic moving to the smartphone generated one means that there is bigger and bigger stream of information that has to be stored, transformed, analysed and perhaps monetized. The nature of this traffic makes if very difficult to wrap it into boundaries of relational database engines. The amount of data makes it near to impossible to process them in relational databases within reasonable time. This is where ‘cloud’ technologies come to play. I just read a good article about the growing pains of Hadoop, which became one of the leading players on distributed processing arena within last year or two. Toby Baer concludes in it that lack of enterprise ready toolsets hinders Hadoop’s apprehension in the enterprise world. While this is true, something else drew my attention. According to the article there are already about half of a dozen of commercially supported distributions of Hadoop. For me, who has not been involved into intricacies of open-source world, this is quite interesting observation. On one hand, it is good that there is competition as it is beneficial in the end to the customer. On the other hand, the customer is faced with difficulty of choosing the right distribution. In future, when Hadoop distributions fork even more, this choice will be even harder. The distributions will have overlapping sets of features, yet will be quite incompatible with each other. I suppose it will take a few years until leaders emerge and the market will begin to resemble what we see in Linux world. There are myriads of distributions, but only few are acknowledged by the industry as enterprise standard. Others are honed by bearded individuals with too much time to spend. In any way, the third fact I can’t help but notice about the proliferation of distributions of Hadoop is that IT professionals will have jobs.   BuzzNet Tags: Hadoop,Big Data,Enterprise IT

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  • Cloud Computing Architecture Patterns: Don’t Focus on the Client

    - by BuckWoody
    Normally I try to put topics in the positive in other words "Do this" not "Don't do that". Sometimes its clearer to focus on what *not* to do. Popular development processes often start with screen mockups, or user input descriptions. In a scale-out pattern like Cloud Computing on Windows Azure, that's the wrong place to start. Start with the Data    Instead, I recommend that you start with the data that a process requires. That data might be temporary or persisted, but starting with the data and its requirements helps to define not only the storage engine you need but also drives everything from security to the integrity of the application. For instance, assume the requirements show that the user must enter their phone number, and that this datum is used in a contact management system further down the application chain. For that datum, you can determine what data type you need (U.S. only or International?) the security requirements, whether it needs ACID compliance, how it will be searched, indexed and so on. From one small data point you can extrapolate out your options for storing and processing the data. Here's the interesting part, which begins to break the patterns that we've used for decades: all of the data doesn't have the same requirements. The phone number might be best suited for a list, or an element, or a string, with either BASE or ACID requirements, based on how it is used. That means we don't have to dump everything into XML, an RDBMS, a NoSQL engine, or a flat file exclusively. In fact, one record might use all of those depending on the use-case requirements. Next Is Data Management  With the data defined, we can move on to how to store the data. Again, the requirements now dictate whether we need a full relational calculus or set-based operations, or we can choose another method based on the requirements for the data. And breaking another pattern its OK to store in more than once, in more than one location. We do this all the time for reporting systems and Business Intelligence systems, so this is a pattern we need to think about even for OLTP data. Move to Data Transport How does the data get around? We can use a connection-based method, sending the data along a transport to the storage engine, but in some cases we may want to use a cache, a queue, the Service Bus, or Complex Event Processing. Finally, Data Processing Most RDBMS engines, NoSQL, and certainly Big Data engines not only store data, but can process and manipulate it as well. Its doubtful that you'll calculate that phone number right? Well, if you're the phone company, you most certainly will. And so we see that even once we've chosen the data type, storage and engine, the same element can have different computing requirements based on how it is used. Sure, We Need A Front-End At Some Point Not all data is entered by human hands in fact most data isn't. We don't really need a Graphical User Interface (GUI) we need some way for a GUI to get data into and out of the systems listed earlier.   But when we do need to allow users to enter or examine data, that should be left to the GUI that best fits the device the user has. Ever tried to use an application designed for a web browser on a phone? Or one designed for a tablet on a phone? Its usually quite painful. The siren song of "We'll just write one interface for all devices" is strong, and has beguiled many an unsuspecting architect. But they just don't work out.   Instead, focus on the data, its transport and processing. Create API calls or a message system that allows for resilient transport to the device or interface, and let it do what it does best. References Microsoft Architecture Journal:   http://msdn.microsoft.com/en-us/architecture/bb410935.aspx Patterns and Practices:   http://msdn.microsoft.com/en-us/library/ff921345.aspx Windows Azure iOS, Android, Windows 8 Mobile Devices SDK: http://www.windowsazure.com/en-us/develop/mobile/tutorials/get-started-ios/ Windows Azure Facebook SDK: http://ntotten.com/2013/03/14/using-windows-azure-mobile-services-with-the-facebook-sdk-for-windows-phone/

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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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  • Windows Azure Use Case: New Development

    - by BuckWoody
    This is one in a series of posts on when and where to use a distributed architecture design in your organization's computing needs. You can find the main post here: http://blogs.msdn.com/b/buckwoody/archive/2011/01/18/windows-azure-and-sql-azure-use-cases.aspx Description: Computing platforms evolve over time. Originally computers were directed by hardware wiring - that, the “code” was the path of the wiring that directed an electrical signal from one component to another, or in some cases a physical switch controlled the path. From there software was developed, first in a very low machine language, then when compilers were created, computer languages could more closely mimic written statements. These language statements can be compiled into the lower-level machine language still used by computers today. Microprocessors replaced logic circuits, sometimes with fewer instructions (Reduced Instruction Set Computing, RISC) and sometimes with more instructions (Complex Instruction Set Computing, CISC). The reason this history is important is that along each technology advancement, computer code has adapted. Writing software for a RISC architecture is significantly different than developing for a CISC architecture. And moving to a Distributed Architecture like Windows Azure also has specific implementation details that our code must follow. But why make a change? As I’ve described, we need to make the change to our code to follow advances in technology. There’s no point in change for its own sake, but as a new paradigm offers benefits to our users, it’s important for us to leverage those benefits where it makes sense. That’s most often done in new development projects. It’s a far simpler task to take a new project and adapt it to Windows Azure than to try and retrofit older code designed in a previous computing environment. We can still use the same coding languages (.NET, Java, C++) to write code for Windows Azure, but we need to think about the architecture of that code on a new project so that it runs in the most efficient, cost-effective way in a Distributed Architecture. As we receive new requests from the organization for new projects, a distributed architecture paradigm belongs in the decision matrix for the platform target. Implementation: When you are designing new applications for Windows Azure (or any distributed architecture) there are many important details to consider. But at the risk of over-simplification, there are three main concepts to learn and architect within the new code: Stateless Programming - Stateless program is a prime concept within distributed architectures. Rather than each server owning the complete processing cycle, the information from an operation that needs to be retained (the “state”) should be persisted to another location c(like storage) common to all machines involved in the process.  An interesting learning process for Stateless Programming (although not unique to this language type) is to learn Functional Programming. Server-Side Processing - Along with developing using a Stateless Design, the closer you can locate the code processing to the data, the less expensive and faster the code will run. When you control the network layer, this is less important, since you can send vast amounts of data between the server and client, allowing the client to perform processing. In a distributed architecture, you don’t always own the network, so it’s performance is unpredictable. Also, you may not be able to control the platform the user is on (such as a smartphone, PC or tablet), so it’s imperative to deliver only results and graphical elements where possible.  Token-Based Authentication - Also called “Claims-Based Authorization”, this code practice means instead of allowing a user to log on once and then running code in that context, a more granular level of security is used. A “token” or “claim”, often represented as a Certificate, is sent along for a series or even one request. In other words, every call to the code is authenticated against the token, rather than allowing a user free reign within the code call. While this is more work initially, it can bring a greater level of security, and it is far more resilient to disconnections. Resources: See the references of “Nondistributed Deployment” and “Distributed Deployment” at the top of this article for more information with graphics:  http://msdn.microsoft.com/en-us/library/ee658120.aspx  Stack Overflow has a good thread on functional programming: http://stackoverflow.com/questions/844536/advantages-of-stateless-programming  Another good discussion on Stack Overflow on server-side processing is here: http://stackoverflow.com/questions/3064018/client-side-or-server-side-processing Claims Based Authorization is described here: http://msdn.microsoft.com/en-us/magazine/ee335707.aspx

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  • SQL Server 2012 RTM Cumulative Update #10 is available!

    - by AaronBertrand
    The SQL Server team has released CU #10 for SQL Server 2012 RTM. KB article: http://support.microsoft.com/kb/2891666 Build # is 11.0.2420 This build has 4 fixes For most customers, this cumulative update hardly justifies the download, never mind patching and regression testing, at least IMHO. Of the four fixes, two involve SSAS, one involves SSRS, and one involves the database engine tuning advisor. Relevant for builds 11.0.2100 -> 11.0.2419. Do not attempt to install on SQL Server 2012 SP1 (any...(read more)

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  • Speaking at SQLRelay. Will you be there?

    - by jamiet
    SQL Relay (#sqlrelay) is fast approaching and I wanted to take this opportunity to tell you a little about it.SQL Relay is a 5-day tour around the UK that is taking in five Server Server user groups, each one comprising a full day of SQL Server related learnings. The dates and venues are:21st May, Edinburgh22nd May, Manchester23rd May, Birmingham24th May, Bristol30th May, LondonClick on the appropriate link to see the full agenda and to book your spot.SQL Relay features some of this country's most prominent SQL Server speakers including Chris Webb, Tony Rogerson, Andrew Fryer, Martin Bell, Allan Mitchell, Steve Shaw, Gordon Meyer, Satya Jayanty, Chris Testa O'Neill, Duncan Sutcliffe, Rob Carrol, me and SQL Server UK Product Manager Morris Novello so I really encourage you to go - you have my word it'll be an informative and, more importantly, enjoyable day out from your regular 9-to-5.I am presenting my session "A Lap Around the SSIS Catalog" at Edinburgh and Manchester so if you're going, I hope to see you there.@Jamiet

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  • Try a sample: Using the counter predicate for event sampling

    - by extended_events
    Extended Events offers a rich filtering mechanism, called predicates, that allows you to reduce the number of events you collect by specifying criteria that will be applied during event collection. (You can find more information about predicates in Using SQL Server 2008 Extended Events (by Jonathan Kehayias)) By evaluating predicates early in the event firing sequence we can reduce the performance impact of collecting events by stopping event collection when the criteria are not met. You can specify predicates on both event fields and on a special object called a predicate source. Predicate sources are similar to action in that they typically are related to some type of global information available from the server. You will find that many of the actions available in Extended Events have equivalent predicate sources, but actions and predicates sources are not the same thing. Applying predicates, whether on a field or predicate source, is very similar to what you are used to in T-SQL in terms of how they work; you pick some field/source and compare it to a value, for example, session_id = 52. There is one predicate source that merits special attention though, not just for its special use, but for how the order of predicate evaluation impacts the behavior you see. I’m referring to the counter predicate source. The counter predicate source gives you a way to sample a subset of events that otherwise meet the criteria of the predicate; for example you could collect every other event, or only every tenth event. Simple CountingThe counter predicate source works by creating an in memory counter that increments every time the predicate statement is evaluated. Here is a simple example with my favorite event, sql_statement_completed, that only collects the second statement that is run. (OK, that’s not much of a sample, but this is for demonstration purposes. Here is the session definition: CREATE EVENT SESSION counter_test ON SERVERADD EVENT sqlserver.sql_statement_completed    (ACTION (sqlserver.sql_text)    WHERE package0.counter = 2)ADD TARGET package0.ring_bufferWITH (MAX_DISPATCH_LATENCY = 1 SECONDS) You can find general information about the session DDL syntax in BOL and from Pedro’s post Introduction to Extended Events. The important part here is the WHERE statement that defines that I only what the event where package0.count = 2; in other words, only the second instance of the event. Notice that I need to provide the package name along with the predicate source. You don’t need to provide the package name if you’re using event fields, only for predicate sources. Let’s say I run the following test queries: -- Run three statements to test the sessionSELECT 'This is the first statement'GOSELECT 'This is the second statement'GOSELECT 'This is the third statement';GO Once you return the event data from the ring buffer and parse the XML (see my earlier post on reading event data) you should see something like this: event_name sql_text sql_statement_completed SELECT ‘This is the second statement’ You can see that only the second statement from the test was actually collected. (Feel free to try this yourself. Check out what happens if you remove the WHERE statement from your session. Go ahead, I’ll wait.) Percentage Sampling OK, so that wasn’t particularly interesting, but you can probably see that this could be interesting, for example, lets say I need a 25% sample of the statements executed on my server for some type of QA analysis, that might be more interesting than just the second statement. All comparisons of predicates are handled using an object called a predicate comparator; the simple comparisons such as equals, greater than, etc. are mapped to the common mathematical symbols you know and love (eg. = and >), but to do the less common comparisons you will need to use the predicate comparators directly. You would probably look to the MOD operation to do this type sampling; we would too, but we don’t call it MOD, we call it divides_by_uint64. This comparator evaluates whether one number is divisible by another with no remainder. The general syntax for using a predicate comparator is pred_comp(field, value), field is always first and value is always second. So lets take a look at how the session changes to answer our new question of 25% sampling: CREATE EVENT SESSION counter_test_25 ON SERVERADD EVENT sqlserver.sql_statement_completed    (ACTION (sqlserver.sql_text)    WHERE package0.divides_by_uint64(package0.counter,4))ADD TARGET package0.ring_bufferWITH (MAX_DISPATCH_LATENCY = 1 SECONDS)GO Here I’ve replaced the simple equivalency check with the divides_by_uint64 comparator to check if the counter is evenly divisible by 4, which gives us back every fourth record. I’ll leave it as an exercise for the reader to test this session. Why order matters I indicated at the start of this post that order matters when it comes to the counter predicate – it does. Like most other predicate systems, Extended Events evaluates the predicate statement from left to right; as soon as the predicate statement is proven false we abandon evaluation of the remainder of the statement. The counter predicate source is only incremented when it is evaluated so whether or not the counter is incremented will depend on where it is in the predicate statement and whether a previous criteria made the predicate false or not. Here is a generic example: Pred1: (WHERE statement_1 AND package0.counter = 2)Pred2: (WHERE package0.counter = 2 AND statement_1) Let’s say I cause a number of events as follows and examine what happens to the counter predicate source. Iteration Statement Pred1 Counter Pred2 Counter A Not statement_1 0 1 B statement_1 1 2 C Not statement_1 1 3 D statement_1 2 4 As you can see, in the case of Pred1, statement_1 is evaluated first, when it fails (A & C) predicate evaluation is stopped and the counter is not incremented. With Pred2 the counter is evaluated first, so it is incremented on every iteration of the event and the remaining parts of the predicate are then evaluated. In this example, Pred1 would return an event for D while Pred2 would return an event for B. But wait, there is an interesting side-effect here; consider Pred2 if I had run my statements in the following order: Not statement_1 Not statement_1 statement_1 statement_1 In this case I would never get an event back from the system because the point at which counter=2, the rest of the predicate evaluates as false so the event is not returned. If you’re using the counter target for sampling and you’re not getting the expected events, or any events, check the order of the predicate criteria. As a general rule I’d suggest that the counter criteria should be the last element of your predicate statement since that will assure that your sampling rate will apply to the set of event records defined by the rest of your predicate. Aside: I’m interested in hearing about uses for putting the counter predicate criteria earlier in the predicate statement. If you have one, post it in a comment to share with the class. - Mike Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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  • SQL University: Parallelism Week - Part 3, Settings and Options

    - by Adam Machanic
    Congratulations! You've made it back for the the third and final installment of Parallelism Week here at SQL University . So far we've covered the fundamentals of multitasking vs. parallel processing and delved into how parallel query plans actually work . Today we'll take a look at the settings and options that influence intra-query parallelism and discuss how best to set things up in various situations. Instance-Level Configuration Your database server probably has more than one logical processor....(read more)

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