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  • Changes to the LINQ-to-StreamInsight Dialect

    - by Roman Schindlauer
    In previous versions of StreamInsight (1.0 through 2.0), CepStream<> represents temporal streams of many varieties: Streams with ‘open’ inputs (e.g., those defined and composed over CepStream<T>.Create(string streamName) Streams with ‘partially bound’ inputs (e.g., those defined and composed over CepStream<T>.Create(Type adapterFactory, …)) Streams with fully bound inputs (e.g., those defined and composed over To*Stream – sequences or DQC) The stream may be embedded (where Server.Create is used) The stream may be remote (where Server.Connect is used) When adding support for new programming primitives in StreamInsight 2.1, we faced a choice: Add a fourth variety (use CepStream<> to represent streams that are bound the new programming model constructs), or introduce a separate type that represents temporal streams in the new user model. We opted for the latter. Introducing a new type has the effect of reducing the number of (confusing) runtime failures due to inappropriate uses of CepStream<> instances in the incorrect context. The new types are: IStreamable<>, which logically represents a temporal stream. IQStreamable<> : IStreamable<>, which represents a queryable temporal stream. Its relationship to IStreamable<> is analogous to the relationship of IQueryable<> to IEnumerable<>. The developer can compose temporal queries over remote stream sources using this type. The syntax of temporal queries composed over IQStreamable<> is mostly consistent with the syntax of our existing CepStream<>-based LINQ provider. However, we have taken the opportunity to refine certain aspects of the language surface. Differences are outlined below. Because 2.1 introduces new types to represent temporal queries, the changes outlined in this post do no impact existing StreamInsight applications using the existing types! SelectMany StreamInsight does not support the SelectMany operator in its usual form (which is analogous to SQL’s “CROSS APPLY” operator): static IEnumerable<R> SelectMany<T, R>(this IEnumerable<T> source, Func<T, IEnumerable<R>> collectionSelector) It instead uses SelectMany as a convenient syntactic representation of an inner join. The parameter to the selector function is thus unavailable. Because the parameter isn’t supported, its type in StreamInsight 1.0 – 2.0 wasn’t carefully scrutinized. Unfortunately, the type chosen for the parameter is nonsensical to LINQ programmers: static CepStream<R> SelectMany<T, R>(this CepStream<T> source, Expression<Func<CepStream<T>, CepStream<R>>> streamSelector) Using Unit as the type for the parameter accurately reflects the StreamInsight’s capabilities: static IQStreamable<R> SelectMany<T, R>(this IQStreamable<T> source, Expression<Func<Unit, IQStreamable<R>>> streamSelector) For queries that succeed – that is, queries that do not reference the stream selector parameter – there is no difference between the code written for the two overloads: from x in xs from y in ys select f(x, y) Top-K The Take operator used in StreamInsight causes confusion for LINQ programmers because it is applied to the (unbounded) stream rather than the (bounded) window, suggesting that the query as a whole will return k rows: (from win in xs.SnapshotWindow() from x in win orderby x.A select x.B).Take(k) The use of SelectMany is also unfortunate in this context because it implies the availability of the window parameter within the remainder of the comprehension. The following compiles but fails at runtime: (from win in xs.SnapshotWindow() from x in win orderby x.A select win).Take(k) The Take operator in 2.1 is applied to the window rather than the stream: Before After (from win in xs.SnapshotWindow() from x in win orderby x.A select x.B).Take(k) from win in xs.SnapshotWindow() from b in     (from x in win     orderby x.A     select x.B).Take(k) select b Multicast We are introducing an explicit multicast operator in order to preserve expression identity, which is important given the semantics about moving code to and from StreamInsight. This also better matches existing LINQ dialects, such as Reactive. This pattern enables expressing multicasting in two ways: Implicit Explicit var ys = from x in xs          where x.A > 1          select x; var zs = from y1 in ys          from y2 in ys.ShiftEventTime(_ => TimeSpan.FromSeconds(1))          select y1 + y2; var ys = from x in xs          where x.A > 1          select x; var zs = ys.Multicast(ys1 =>     from y1 in ys1     from y2 in ys1.ShiftEventTime(_ => TimeSpan.FromSeconds(1))     select y1 + y2; Notice the product translates an expression using implicit multicast into an expression using the explicit multicast operator. The user does not see this translation. Default window policies Only default window policies are supported in the new surface. Other policies can be simulated by using AlterEventLifetime. Before After xs.SnapshotWindow(     WindowInputPolicy.ClipToWindow,     SnapshotWindowInputPolicy.Clip) xs.SnapshotWindow() xs.TumblingWindow(     TimeSpan.FromSeconds(1),     HoppingWindowOutputPolicy.PointAlignToWindowEnd) xs.TumblingWindow(     TimeSpan.FromSeconds(1)) xs.TumblingWindow(     TimeSpan.FromSeconds(1),     HoppingWindowOutputPolicy.ClipToWindowEnd) Not supported … LeftAntiJoin Representation of LASJ as a correlated sub-query in the LINQ surface is problematic as the StreamInsight engine does not support correlated sub-queries (see discussion of SelectMany). The current syntax requires the introduction of an otherwise unsupported ‘IsEmpty()’ operator. As a result, the pattern is not discoverable and implies capabilities not present in the server. The direct representation of LASJ is used instead: Before After from x in xs where     (from y in ys     where x.A > y.B     select y).IsEmpty() select x xs.LeftAntiJoin(ys, (x, y) => x.A > y.B) from x in xs where     (from y in ys     where x.A == y.B     select y).IsEmpty() select x xs.LeftAntiJoin(ys, x => x.A, y => y.B) ApplyWithUnion The ApplyWithUnion methods have been deprecated since their signatures are redundant given the standard SelectMany overloads: Before After xs.GroupBy(x => x.A).ApplyWithUnion(gs => from win in gs.SnapshotWindow() select win.Count()) xs.GroupBy(x => x.A).SelectMany(     gs =>     from win in gs.SnapshotWindow()     select win.Count()) xs.GroupBy(x => x.A).ApplyWithUnion(gs => from win in gs.SnapshotWindow() select win.Count(), r => new { r.Key, Count = r.Payload }) from x in xs group x by x.A into gs from win in gs.SnapshotWindow() select new { gs.Key, Count = win.Count() } Alternate UDO syntax The representation of UDOs in the StreamInsight LINQ dialect confuses cardinalities. Based on the semantics of user-defined operators in StreamInsight, one would expect to construct queries in the following form: from win in xs.SnapshotWindow() from y in MyUdo(win) select y Instead, the UDO proxy method is referenced within a projection, and the (many) results returned by the user code are automatically flattened into a stream: from win in xs.SnapshotWindow() select MyUdo(win) The “many-or-one” confusion is exemplified by the following example that compiles but fails at runtime: from win in xs.SnapshotWindow() select MyUdo(win) + win.Count() The above query must fail because the UDO is in fact returning many values per window while the count aggregate is returning one. Original syntax New alternate syntax from win in xs.SnapshotWindow() select win.UdoProxy(1) from win in xs.SnapshotWindow() from y in win.UserDefinedOperator(() => new Udo(1)) select y -or- from win in xs.SnapshotWindow() from y in win.UdoMacro(1) select y Notice that this formulation also sidesteps the dynamic type pitfalls of the existing “proxy method” approach to UDOs, in which the type of the UDO implementation (TInput, TOuput) and the type of its constructor arguments (TConfig) need to align in a precise and non-obvious way with the argument and return types for the corresponding proxy method. UDSO syntax UDSO currently leverages the DataContractSerializer to clone initial state for logical instances of the user operator. Initial state will instead be described by an expression in the new LINQ surface. Before After xs.Scan(new Udso()) xs.Scan(() => new Udso()) Name changes ShiftEventTime => AlterEventStartTime: The alter event lifetime overload taking a new start time value has been renamed. CountByStartTimeWindow => CountWindow

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  • PowerShell - grabbing values out of the registry and running them

    - by Rob Farley
    So I closed an application that runs when Windows starts up, but it doesn’t have a Start Menu entry, and I was trying to find it. Ok, I could’ve run regedit.exe, navigated through the tree and found the list of things that run when Windows starts up, but I thought I’d use PowerShell instead. PowerShell presents the registry as if it’s a volume on a disk, and you can navigate around it using commands like cd and dir. It wasn’t hard to find the folder I knew I was after – tab completion (starting the word and then hitting the Tab key) was a friend here. But unfortunately dir doesn’t list values, only subkeys (which look like folders). PS C:\Windows\system32> dir HKLM:\SOFTWARE\Microsoft\Windows\CurrentVersion\Run PS C:\Windows\system32> Instead, I needed to use Get-Item to fetch the ‘Run’ key, and use its Property property. This listed the values in there for me, as an array of strings (I could work this out using Get-Member). PS C:\Windows\system32> (Get-Item HKLM:\SOFTWARE\Microsoft\Windows\CurrentVersion\Run).Property QuickSet SynTPEnh Zune Launcher PS C:\Windows\system32> Ok, so the thing I wanted wasn’t in there (an app called PureText, whicih lets me Paste As Text using Windows+V). That’s ok – a simple change to use HKCU instead of HKLM (Current User instead of Local Machine), and I found it. Now to fetch the details of the application itself, using the RegistryKey method GetValue PS C:\Windows\system32> (Get-Item HKCU:\SOFTWARE\Microsoft\Windows\CurrentVersion\Run).GetValue('PureText') "C:\Users\Rob\Utilities\PureText.exe" PS C:\Windows\system32> And finally, surrounding it in a bit of code to execute that command. That needs an ampersand and the Invoke-Expression cmdlet. PS C:\Windows\system32> '& ' + (Get-Item HKCU:\SOFTWARE\Microsoft\Windows\CurrentVersion\Run).GetValue('PureText') | Invoke-Expression A simple bit of exploring PowerShell which will makes for a much easier way of finding and running those apps which start with Windows.

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  • 24HOP gets off to a good start

    - by Rob Farley
    Session 11 is on as I write this – Ami Levin presenting about Primary Keys. It’s a good session. But actually, they’ve all been excellent so far, not just Ami’s. I’ve heard only good things about the content. So if you’re reading this and 24HOP is still on, then tune in and take part. If it’s finished, get yourself over to http://sqlpass.org/24hours and see if the sessions have been made available on-demand. Yes – you should be able to watch the sessions when you want to for a year. Watching live is best, because you can ask questions and have them answered during the session, but if there are ones you just couldn’t make, then watching them on-demand is a good option. Numbers have been “not bad”. At the moment it’s still the middle of the night for most Americans – about 6:30am in New York, and yet we’ve had well over a hundred at all the sessions so far, getting up to well over 300 for some sessions. And when I look through the list of names, I see a bunch of names that suggest we’re reaching people from all around the world. I’m seriously looking forward to seeing the stats about which countries have been represented in the audiences. There have been a few comments about the platform. Everyone seems to consider IBTalk an improvement on LiveMeeting, but the closed captioning has met a mixed reception. Some people are loving it, whereas other people are finding the translations leave quite a bit of space for improvement. If you have feedback on this, please feel free to drop me an email (my name with an underscore at hotmail.com, or with a dot at sqlpass.org should reach me just fine, or Twitter, etc). I don’t know how many of the sessions I’ll get to watch overnight – but I’m looking forward to seeing how things go as the day progresses. Big thanks to everyone who’s involved – the sponsors, PASS HQ team and the IBTalk folk who have stayed up overnight to facilitate, plus the moderators, the people doing the live captioning, and of course the speakers and attendees. I love how the SQL Community gets behind things like this. Earlier, the Adelaide SQL Server User Group gathered and watched Denny Lee’s session on BigData, and everyone in the group agreed that it worked really well. I took a picture of our cinema room, although you could only see a small section of the audience. @rob_farley

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  • Outstanding SQL Saturday

    - by merrillaldrich
    I had the privilege to attend the SQL Saturday held in Redmond today, and it was really outstanding. Among the many sessions, I especially enjoyed and took a lot of useful information away from Greg Larsen’s Dynamic Management Views session, Kalen Delaney’s Compression Session – I am planning to implement 2008 Enterprise compression on my company’s data warehouse later this year – Remus Rusanu’s session on Service Broker to process NAP data, and Matt Masson’s presentation on high performance SSIS...(read more)

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  • December 2012 Cumulative Updates are available for SQL Server 2008 R2

    - by AaronBertrand
    Microsoft released new cumulative updates for SQL Server. SQL Server 2008 R2 Service Pack 1 Cumulative Update # 10 KB Article: KB #2783135 16 fixes are listed at the time of publication Build number is 10.50.2868 Relevant for @@VERSION 10.50.2500 through 10.50.2867 SQL Server 2008 R2 Service Pack 2 Cumulative Update # 4 KB Article: KB #2777358 34 fixes are listed at time of publication Build number is 10.50.4270 Relevant for @@VERSION 10.50.4000 through 10.50.4269 My usual disclaimer: these updates...(read more)

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  • PASS Summit 2012 Day Two Keynote

    - by AllenMWhite
    Summit day two is upon us and we're anticipating another exciting keynote. Nice video of international attendees at the start of the keynote focusing on the global community. Doug McDowell came out and talked about how much great content is going on simultaneously at the Summit. In the last five years PASS has incorporated SQL Saturdays, 24 Hours of PASS, SQL Rally, Virtual Chapters, and doubled and maybe even quadrupled the membership numbers. Doug talked about applying the revenues into these programs...(read more)

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  • X technology is dead

    - by Daniel Moth
    Every so often, technology pundits (i.e. people not involved in the game, but who like commenting about it) throw out big controversial statements (typically to increase their readership), with a common one being that "Technology/platform X is dead". My former colleague (who I guess is now my distant colleague) uses the same trick with his blog post: "iPhone 4 is dead". But, his motivation is to set the record straight (and I believe him) by sharing his opinion on recent commentary around Silverlight, WPF etc. I enjoyed his post and the comments, so I hope you do too :-) Comments about this post welcome at the original blog.

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  • Dell whitepaper on PowerEdge R810 R910 and M910 Memory Architecture

    - by jchang
    The Dell PowerEdge 11 th Generation Servers: R810, R910 and M910 Memory Guidance whitepaper seems to have caused some confusion. I believe the source is an error in the paper. In the section on FlexMem Bridge Technology, the Dell whitepaper says this applies to the R810 and the M910. The Dell M910 is a 4-way blade server for the Xeon 7500 series processor line. First a breif recap. The R810 is a 2-way server, by which I mean it has two sockets regardless of the number of cores on each processor....(read more)

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  • TechEd 2010 Day Two – No SQL Server in Sight

    - by BuckWoody
    Today I worked the booth at TechEd 2010, manning the new “Surface” computer, which is just the coolest object on the planet. After that I didn’t attend a single SQL Server session – instead I’ve been frequenting SharePoint, Microsoft Office, and even the High-Performance Computing sessions. The reason is that I get really high quality SQL Server presentations at PASS, SQL Saturdays, and online from Microsoft and other vendors. While there are SQL Server sessions here (after all, I’m giving one of them!) I tend to try and see things that I don’t normally get to learn about. And the cross-pollination between those technologies and mine is fantastic.     I’ve even managed to go to an Entity Framework presentation for the developers. I actually have (a little) more respect for that technology – and I’ve modified my presentation to encompass more of that information. So whenever you have the chance, take a walk outside your comfort zone. Even at PASS and SQL Saturdays (and certainly online) you can investigate technologies other than the ones you know best.  Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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  • Presenting the Cloud in a Different Way

    - by BuckWoody
    I had the honor of presenting the Developers at the Portland PASS chapter, and decided to go a different way than just using PowerPoint Slides…. (click on any picture to enlarge) The point is that when you need to get a point across, it’s OK to change tactics to make sure the information sticks. In this case, I decided to make the audience the PowerPoint. I used a few props to show the various paradigms we use to describe what the industry uses for the word “cloud” First, we talked about Infrastructure as a Service. I picked a gentleman who didn’t quite fit the hard hat and safety vest I picked out for him. Notice our “user” as she accesses our “Server” (complete with tray and glass) which has been virtualized.    Software as a service comes next. In this case, the user and potentially even customers just access software (represented here as a Windows ME box…) remotely – everything is virtualized. Finally, Platform as a Service – Yup, Platform shoes as a necklace, and a tie-dye shirt to represent the 70’s – a decade when mainframes used stateless programming as well. Notice also the components of Windows Azure – Compute (Keyboard) Application Fabric (Toy Bus) and Storage (Bucket).   And at the end of the day, it’s all about serving those customers…

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  • C++ Accelerated Massive Parallelism

    - by Daniel Moth
    At AMD's Fusion conference Herb Sutter announced in his keynote session a technology that our team has been working on that we call C++ Accelerated Massive Parallelism (C++ AMP) and during the keynote I showed a brief demo of an app built with our technology. After the keynote, I go deeper into the technology in my breakout session. If you read both those abstracts, you'll get some information about what C++ AMP is, without being too explicit since we published the abstracts before the technology was announced. You can find the official online announcement at Soma's blog post. Here, I just wanted to capture the key points about C++ AMP that can serve as an introduction and an FAQ. So, in no particular order… C++ AMP lowers the barrier to entry for heterogeneous hardware programmability and brings performance to the mainstream, without sacrificing developer productivity or solution portability. is designed not only to help you address today's massively parallel hardware (i.e. GPUs and APUs), but it also future proofs your code investments with a forward looking design. is part of Visual C++. You don't need to use a different compiler or learn different syntax. is modern C++. Not C or some other derivative. is integrated and supported fully in Visual Studio vNext. Editing, building, debugging, profiling and all the other goodness of Visual Studio work well with C++ AMP. provides an STL-like library as part of the existing concurrency namespace and delivered in the new amp.h header file. makes it extremely easy to work with large multi-dimensional data on heterogeneous hardware; in a manner that exposes parallelization. introduces only one core C++ language extension. builds on DirectX (and DirectCompute in particular) which offers a great hardware abstraction layer that is ubiquitous and reliable. The architecture is such, that this point can be thought of as an implementation detail that does not surface to the API layer. Stay tuned on my blog for more over the coming months where I will switch from just talking about C++ AMP to showing you how to use the API with code examples… Comments about this post welcome at the original blog.

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  • User Group meeting in Copenhagen for #powerpivot

    - by Marco Russo (SQLBI)
    The next Monday, March 21st, I will join a special event organized by the Danish SQL Server User Group , Excelbi.dk and the Swedish SQL Server User Group . The meeting will start at 18:00 at the Radisson Royal Blu in Copenhagen, and this is the topic we will discuss. PowerPivot / BISM and the future of a BI Solution The next version of Analysis Services will offer the BI Semantic Model (BISM) that is based on Vertipaq, the same engine that runs PowerPivot. DAX and PowerPivot have been created as...(read more)

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  • Export all SSIS packages from msdb using Powershell

    - by jamiet
    Have you ever wanted to dump all the SSIS packages stored in msdb out to files? Of course you have, who wouldn’t? Right? Well, at least one person does because this was the subject of a thread (save all ssis packages to file) on the SSIS forum earlier today. Some of you may have already figured out a way of doing this but for those that haven’t here is a nifty little script that will do it for you and it uses our favourite jack-of-all tools … Powershell!!   Imagine I have the following package folder structure on my Integration Services server (i.e. in [msdb]): There are two packages in there called “20110111 Chaining Expression components” & “Package”, I want to export those two packages into a folder structure that mirrors that in [msdb]. Here is the Powershell script that will do that:   Param($SQLInstance = "localhost") #####Add all the SQL goodies (including Invoke-Sqlcmd)##### add-pssnapin sqlserverprovidersnapin100 -ErrorAction SilentlyContinue add-pssnapin sqlservercmdletsnapin100 -ErrorAction SilentlyContinue cls $Packages = Invoke-Sqlcmd -MaxCharLength 10000000 -ServerInstance $SQLInstance -Query "WITH cte AS ( SELECT cast(foldername as varchar(max)) as folderpath, folderid FROM msdb..sysssispackagefolders WHERE parentfolderid = '00000000-0000-0000-0000-000000000000' UNION ALL SELECT cast(c.folderpath + '\' + f.foldername as varchar(max)), f.folderid FROM msdb..sysssispackagefolders f INNER JOIN cte c ON c.folderid = f.parentfolderid ) SELECT c.folderpath,p.name,CAST(CAST(packagedata AS VARBINARY(MAX)) AS VARCHAR(MAX)) as pkg FROM cte c INNER JOIN msdb..sysssispackages p ON c.folderid = p.folderid WHERE c.folderpath NOT LIKE 'Data Collector%'" Foreach ($pkg in $Packages) { $pkgName = $Pkg.name $folderPath = $Pkg.folderpath $fullfolderPath = "c:\temp\$folderPath\" if(!(test-path -path $fullfolderPath)) { mkdir $fullfolderPath | Out-Null } $pkg.pkg | Out-File -Force -encoding ascii -FilePath "$fullfolderPath\$pkgName.dtsx" }   To run it simply change the “localhost” parameter of the server you want to connect to either by editing the script or passing it in when the script is executed. It will create the folder structure in C:\Temp (which you can also easily change if you so wish – just edit the script accordingly). Here’s the folder structure that it created for me: Notice how it is a mirror of the folder structure in [msdb]. Hope this is useful! @Jamiet

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  • Buck Woody in Adelaide via LiveMeeting

    - by Rob Farley
    The URL for attendees is https://www.livemeeting.com/cc/usergroups/join?id=ADL1005&role=attend . This meeting is with Buck Woody . If you don’t know who he is, then you ought to find out! He’s a Program Manager at Microsoft on the SQL Server team, and anything else I try to say about him will not do him justice. So it’s great to have him present to the Adelaide SQL Server User Group this week. The talk is on the topic of Data-Tier Applications (new in SQL 2008 R2), and I’m sure it will be a great...(read more)

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  • Read Committed isolation level, indexed views and locking behavior

    - by Michael Zilberstein
    From BOL, " Key-Range Locking " article: Key-range locks protect a range of rows implicitly included in a record set being read by a Transact-SQL statement while using the serializable transaction isolation level . The serializable isolation level requires that any query executed during a transaction must obtain the same set of rows every time it is executed during the transaction. A key range lock protects this requirement by preventing other transactions from inserting new rows whose...(read more)

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  • Presenting at Roanoke Code Camp Saturday!

    - by andyleonard
    Introduction I am honored to once again be selected to present at Roanoke Code Camp ! An Introductory Topic One of my presentations is titled "I See a Control Flow Tab. Now What?" It's a Level 100 talk for those wishing to learn how to build their very first SSIS package. This highly-interactive, demo-intense presentation is for beginners and developers just getting started with SSIS. Attend and learn how to build SSIS packages from the ground up . Designing an SSIS Framework I'm also presenting...(read more)

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  • SolidQ Journal - free SQL goodness for February

    - by Greg Low
    The SolidQ Journal for February just made it out by the end of February 28th. But again, it's great to see the content appearing. I've included the second part of the article on controlling the execution context of stored procedures. The first part was in December. Also this month, along with Fernando Guerrero's editorial, Analysis Services guru Craig Utley has written about aggregations, Herbert Albert and Gianluca Holz have continued their double-act and described how to automate database migrations,...(read more)

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  • Could the rel="author" just be a username?

    - by Gkhan14
    I want to use rel="author", however the type of blog I run is about a game, and doesn't relate to my real identity. I'm more known for my screen name, so would this still be okay to use for the rel="author" tag? For example, if my Google+ account is for my user, and not for myself, could I still use it within the rel="author" tag? I don't want to get penalized in any sort of way. My main reason to do this, is to improve click through rate, and just make my blog post sections look better in the searches.

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  • On technical talent

    - by Rob Farley
    In honour of the regular T-SQL Tuesday blogging, the UnSQL theme started, looking at topics that were not directly SQL related, but nevertheless quite interesting. This is the brainchild of Jen McCown, who posted the second of these recently. I’m actually a bit late in responding, as I haven’t got it in my head to look for these posts yet. Still, Jen says I can still contribute now, hence this post. The theme this time is on Tech Giants. I could list people all day for those I admire in the SQL Server space, and go on even longer if I branch out to other areas. But I actually want to highlight four guys that I admire so much for their skills, integrity and general awesomeness that I hired them. Yes – the guys that work for me at LobsterPot Solutions, being Ben McNamara, David Gardiner, Roger Noble and Ashley Sewell. I admire them all, and they present the company with a platform on which to grow.

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  • Real tortoises keep it slow and steady. How about the backups?

    - by Maria Zakourdaev
      … Four tortoises were playing in the backyard when they decided they needed hibiscus flower snacks. They pooled their money and sent the smallest tortoise out to fetch the snacks. Two days passed and there was no sign of the tortoise. "You know, she is taking a lot of time", said one of the tortoises. A little voice from just out side the fence said, "If you are going to talk that way about me I won't go." Is it too much to request from the quite expensive 3rd party backup tool to be a way faster than the SQL server native backup? Or at least save a respectable amount of storage by producing a really smaller backup files?  By saying “really smaller”, I mean at least getting a file in half size. After Googling the internet in an attempt to understand what other “sql people” are using for database backups, I see that most people are using one of three tools which are the main players in SQL backup area:  LiteSpeed by Quest SQL Backup by Red Gate SQL Safe by Idera The feedbacks about those tools are truly emotional and happy. However, while reading the forums and blogs I have wondered, is it possible that many are accustomed to using the above tools since SQL 2000 and 2005.  This can easily be understood due to the fact that a 300GB database backup for instance, using regular a SQL 2005 backup statement would have run for about 3 hours and have produced ~150GB file (depending on the content, of course).  Then you take a 3rd party tool which performs the same backup in 30 minutes resulting in a 30GB file leaving you speechless, you run to management persuading them to buy it due to the fact that it is definitely worth the price. In addition to the increased speed and disk space savings you would also get backup file encryption and virtual restore -  features that are still missing from the SQL server. But in case you, as well as me, don’t need these additional features and only want a tool that performs a full backup MUCH faster AND produces a far smaller backup file (like the gain you observed back in SQL 2005 days) you will be quite disappointed. SQL Server backup compression feature has totally changed the market picture. Medium size database. Take a look at the table below, check out how my SQL server 2008 R2 compares to other tools when backing up a 300GB database. It appears that when talking about the backup speed, SQL 2008 R2 compresses and performs backup in similar overall times as all three other tools. 3rd party tools maximum compression level takes twice longer. Backup file gain is not that impressive, except the highest compression levels but the price that you pay is very high cpu load and much longer time. Only SQL Safe by Idera was quite fast with it’s maximum compression level but most of the run time have used 95% cpu on the server. Note that I have used two types of destination storage, SATA 11 disks and FC 53 disks and, obviously, on faster storage have got my backup ready in half time. Looking at the above results, should we spend money, bother with another layer of complexity and software middle-man for the medium sized databases? I’m definitely not going to do so.  Very large database As a next phase of this benchmark, I have moved to a 6 terabyte database which was actually my main backup target. Note, how multiple files usage enables the SQL Server backup operation to use parallel I/O and remarkably increases it’s speed, especially when the backup device is heavily striped. SQL Server supports a maximum of 64 backup devices for a single backup operation but the most speed is gained when using one file per CPU, in the case above 8 files for a 2 Quad CPU server. The impact of additional files is minimal.  However, SQLsafe doesn’t show any speed improvement between 4 files and 8 files. Of course, with such huge databases every half percent of the compression transforms into the noticeable numbers. Saving almost 470GB of space may turn the backup tool into quite valuable purchase. Still, the backup speed and high CPU are the variables that should be taken into the consideration. As for us, the backup speed is more critical than the storage and we cannot allow a production server to sustain 95% cpu for such a long time. Bottomline, 3rd party backup tool developers, we are waiting for some breakthrough release. There are a few unanswered questions, like the restore speed comparison between different tools and the impact of multiple backup files on restore operation. Stay tuned for the next benchmarks.    Benchmark server: SQL Server 2008 R2 sp1 2 Quad CPU Database location: NetApp FC 15K Aggregate 53 discs Backup statements: No matter how good that UI is, we need to run the backup tasks from inside of SQL Server Agent to make sure they are covered by our monitoring systems. I have used extended stored procedures (command line execution also is an option, I haven’t noticed any impact on the backup performance). SQL backup LiteSpeed SQL Backup SQL safe backup database <DBNAME> to disk= '\\<networkpath>\par1.bak' , disk= '\\<networkpath>\par2.bak', disk= '\\<networkpath>\par3.bak' with format, compression EXECUTE master.dbo.xp_backup_database @database = N'<DBName>', @backupname= N'<DBName> full backup', @desc = N'Test', @compressionlevel=8, @filename= N'\\<networkpath>\par1.bak', @filename= N'\\<networkpath>\par2.bak', @filename= N'\\<networkpath>\par3.bak', @init = 1 EXECUTE master.dbo.sqlbackup '-SQL "BACKUP DATABASE <DBNAME> TO DISK= ''\\<networkpath>\par1.sqb'', DISK= ''\\<networkpath>\par2.sqb'', DISK= ''\\<networkpath>\par3.sqb'' WITH DISKRETRYINTERVAL = 30, DISKRETRYCOUNT = 10, COMPRESSION = 4, INIT"' EXECUTE master.dbo.xp_ss_backup @database = 'UCMSDB', @filename = '\\<networkpath>\par1.bak', @backuptype = 'Full', @compressionlevel = 4, @backupfile = '\\<networkpath>\par2.bak', @backupfile = '\\<networkpath>\par3.bak' If you still insist on using 3rd party tools for the backups in your production environment with maximum compression level, you will definitely need to consider limiting cpu usage which will increase the backup operation time even more: RedGate : use THREADPRIORITY option ( values 0 – 6 ) LiteSpeed : use  @throttle ( percentage, like 70%) SQL safe :  the only thing I have found was @Threads option.   Yours, Maria

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  • SQL Community – stronger than ever

    - by Rob Farley
    I posted a few hours ago about a reflection of the Summit, but I wanted to write another one for this month’s T-SQL Tuesday, hosted by Chris Yates. In January of this year, Adam Jorgensen and I joked around in a video that was used for the SQL Server 2012 launch. We were asked about SQLFamily, and we said how we were like brothers – how we could drive each other crazy (the look he gave me as I patted his stomach was priceless), but that we’d still look out for each other, just like in a real family. And this is really true. Last week at the PASS Summit, there was a lot going on. I was busy as always, as were many others. People told me their good news, their awful news, and some whinged to me about other people who were driving them crazy. But throughout this, people in the SQL Server community genuinely want the best for each other. I’m sure there are exceptions, but I don’t see much of this. Australians aren’t big on cheering for each other. Neither are the English. I think we see it as an American thing. It could be easy for me to consider that the SQL Community that I see at the PASS Summit is mainly there because it’s a primarily American organisation. But when you speak to people like sponsors, or people involved in several types of communities, you quickly hear that it’s not just about that – that PASS has something special. It goes beyond cheering, it’s a strong desire to see each other succeed. I see MVPs feel disappointed for those people who don’t get awarded. I see Summit speakers concerned for those who missed out on the chance to speak. I see chapter leaders excited about the opportunity to help other chapters. And throughout, I see a gentleness and love for people that you rarely see outside the church (and sadly, many churches don’t have it either). Chris points out that the M-W dictionary defined community as “a unified body of individuals”, and I feel like this is true of the SQL Server community. It goes deeper though. It’s not just unity – and we’re most definitely different to each other – it’s more than that. We all want to see each other grow. We all want to pull ourselves up, to serve each other, and to grow PASS into something more than it is today. In that other post of mine I wrote a bit about Paul White’s experience at his first Summit. His missus wrote to me on Facebook saying that she welled up over it. But that emotion was nothing about what I wrote – it was about the reaction that the SQL Community had had to Paul. Be proud of it, my SQL brothers and sisters, and never lose it.

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  • When is a Seek not a Seek?

    - by Paul White
    The following script creates a single-column clustered table containing the integers from 1 to 1,000 inclusive. IF OBJECT_ID(N'tempdb..#Test', N'U') IS NOT NULL DROP TABLE #Test ; GO CREATE TABLE #Test ( id INTEGER PRIMARY KEY CLUSTERED ); ; INSERT #Test (id) SELECT V.number FROM master.dbo.spt_values AS V WHERE V.[type] = N'P' AND V.number BETWEEN 1 AND 1000 ; Let’s say we need to find the rows with values from 100 to 170, excluding any values that divide exactly by 10.  One way to write that query would be: SELECT T.id FROM #Test AS T WHERE T.id IN ( 101,102,103,104,105,106,107,108,109, 111,112,113,114,115,116,117,118,119, 121,122,123,124,125,126,127,128,129, 131,132,133,134,135,136,137,138,139, 141,142,143,144,145,146,147,148,149, 151,152,153,154,155,156,157,158,159, 161,162,163,164,165,166,167,168,169 ) ; That query produces a pretty efficient-looking query plan: Knowing that the source column is defined as an INTEGER, we could also express the query this way: SELECT T.id FROM #Test AS T WHERE T.id >= 101 AND T.id <= 169 AND T.id % 10 > 0 ; We get a similar-looking plan: If you look closely, you might notice that the line connecting the two icons is a little thinner than before.  The first query is estimated to produce 61.9167 rows – very close to the 63 rows we know the query will return.  The second query presents a tougher challenge for SQL Server because it doesn’t know how to predict the selectivity of the modulo expression (T.id % 10 > 0).  Without that last line, the second query is estimated to produce 68.1667 rows – a slight overestimate.  Adding the opaque modulo expression results in SQL Server guessing at the selectivity.  As you may know, the selectivity guess for a greater-than operation is 30%, so the final estimate is 30% of 68.1667, which comes to 20.45 rows. The second difference is that the Clustered Index Seek is costed at 99% of the estimated total for the statement.  For some reason, the final SELECT operator is assigned a small cost of 0.0000484 units; I have absolutely no idea why this is so, or what it models.  Nevertheless, we can compare the total cost for both queries: the first one comes in at 0.0033501 units, and the second at 0.0034054.  The important point is that the second query is costed very slightly higher than the first, even though it is expected to produce many fewer rows (20.45 versus 61.9167). If you run the two queries, they produce exactly the same results, and both complete so quickly that it is impossible to measure CPU usage for a single execution.  We can, however, compare the I/O statistics for a single run by running the queries with STATISTICS IO ON: Table '#Test'. Scan count 63, logical reads 126, physical reads 0. Table '#Test'. Scan count 01, logical reads 002, physical reads 0. The query with the IN list uses 126 logical reads (and has a ‘scan count’ of 63), while the second query form completes with just 2 logical reads (and a ‘scan count’ of 1).  It is no coincidence that 126 = 63 * 2, by the way.  It is almost as if the first query is doing 63 seeks, compared to one for the second query. In fact, that is exactly what it is doing.  There is no indication of this in the graphical plan, or the tool-tip that appears when you hover your mouse over the Clustered Index Seek icon.  To see the 63 seek operations, you have click on the Seek icon and look in the Properties window (press F4, or right-click and choose from the menu): The Seek Predicates list shows a total of 63 seek operations – one for each of the values from the IN list contained in the first query.  I have expanded the first seek node to show the details; it is seeking down the clustered index to find the entry with the value 101.  Each of the other 62 nodes expands similarly, and the same information is contained (even more verbosely) in the XML form of the plan. Each of the 63 seek operations starts at the root of the clustered index B-tree and navigates down to the leaf page that contains the sought key value.  Our table is just large enough to need a separate root page, so each seek incurs 2 logical reads (one for the root, and one for the leaf).  We can see the index depth using the INDEXPROPERTY function, or by using the a DMV: SELECT S.index_type_desc, S.index_depth FROM sys.dm_db_index_physical_stats ( DB_ID(N'tempdb'), OBJECT_ID(N'tempdb..#Test', N'U'), 1, 1, DEFAULT ) AS S ; Let’s look now at the Properties window when the Clustered Index Seek from the second query is selected: There is just one seek operation, which starts at the root of the index and navigates the B-tree looking for the first key that matches the Start range condition (id >= 101).  It then continues to read records at the leaf level of the index (following links between leaf-level pages if necessary) until it finds a row that does not meet the End range condition (id <= 169).  Every row that meets the seek range condition is also tested against the Residual Predicate highlighted above (id % 10 > 0), and is only returned if it matches that as well. You will not be surprised that the single seek (with a range scan and residual predicate) is much more efficient than 63 singleton seeks.  It is not 63 times more efficient (as the logical reads comparison would suggest), but it is around three times faster.  Let’s run both query forms 10,000 times and measure the elapsed time: DECLARE @i INTEGER, @n INTEGER = 10000, @s DATETIME = GETDATE() ; SET NOCOUNT ON; SET STATISTICS XML OFF; ; WHILE @n > 0 BEGIN SELECT @i = T.id FROM #Test AS T WHERE T.id IN ( 101,102,103,104,105,106,107,108,109, 111,112,113,114,115,116,117,118,119, 121,122,123,124,125,126,127,128,129, 131,132,133,134,135,136,137,138,139, 141,142,143,144,145,146,147,148,149, 151,152,153,154,155,156,157,158,159, 161,162,163,164,165,166,167,168,169 ) ; SET @n -= 1; END ; PRINT DATEDIFF(MILLISECOND, @s, GETDATE()) ; GO DECLARE @i INTEGER, @n INTEGER = 10000, @s DATETIME = GETDATE() ; SET NOCOUNT ON ; WHILE @n > 0 BEGIN SELECT @i = T.id FROM #Test AS T WHERE T.id >= 101 AND T.id <= 169 AND T.id % 10 > 0 ; SET @n -= 1; END ; PRINT DATEDIFF(MILLISECOND, @s, GETDATE()) ; On my laptop, running SQL Server 2008 build 4272 (SP2 CU2), the IN form of the query takes around 830ms and the range query about 300ms.  The main point of this post is not performance, however – it is meant as an introduction to the next few parts in this mini-series that will continue to explore scans and seeks in detail. When is a seek not a seek?  When it is 63 seeks © Paul White 2011 email: [email protected] twitter: @SQL_kiwi

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  • Ola Hallengren adds STATISTICS support to his solution

    - by AaronBertrand
    Last week, Ola published a very useful update to his Backup, Integrity Check and Index Optimization scripts : the solution now supports updating statistics. There are several options, such as only updating when the data has been modified and using the RESAMPLE and NORECOMPUTE options. An example call: EXEC dbo.IndexOptimize @Databases = 'USER_DATABASES' , @FragmentationHigh_LOB = 'INDEX_REBUILD_OFFLINE' , @FragmentationHigh_NonLOB = 'INDEX_REBUILD_ONLINE' , @FragmentationMedium_LOB = 'INDEX_REORGANIZE_STATISTICS_UPDATE'...(read more)

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  • This 24 Hours of PASS was "Different"

    - by RickHeiges
    Last week, the latest iteration of "24 Hours of PASS" was held. It was "Different" for me. Why? Because I was not an active participant on the days of the event other than being an attendee. I was involved in some aspects of the planning for the event when deciding the theme and format, etc. I was on many calls and email threads for the planning of this event. I did the moderator/speaker training a few weeks prior to the event. But on the days that the event was actually held, I was not on pins and...(read more)

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