Daily Archives

Articles indexed Monday June 20 2011

Page 14/21 | < Previous Page | 10 11 12 13 14 15 16 17 18 19 20 21  | Next Page >

  • Inside Red Gate - Project teams

    - by Simon Cooper
    Within each division in Red Gate, development effort is structured around one or more project teams; currently, each division contains 2-3 separate teams. These are self contained units responsible for a particular development project. Project team structure The typical size of a development team varies, but is normally around 4-7 people - one project manager, two developers, one or two testers, a technical author (who is responsible for the text within the application, website content, and help documentation) and a user experience designer (who designs and prototypes the UIs) . However, team sizes can vary from 3 up to 12, depending on the division and project. As an rule, all the team sits together in the same area of the office. (Again, this is my experience of what happens. I haven't worked in the DBA division, and SQL Tools might have changed completely since I moved to .NET. As I mentioned in my previous post, each division is free to structure itself as it sees fit.) Depending on the project, and the other needs in the division, the tech author and UX designer may be shared between several projects. Generally, developers and testers work on one project at a time. If the project is a simple point release, then it might not need a UX designer at all. However, if it's a brand new product, then a UX designer and tech author will be involved right from the start. Developers, testers, and the project manager will normally stay together in the same team as they work on different projects, unless there's a good reason to split or merge teams for a particular project. Technical authors and UX designers will normally go wherever they are needed in the division, depending on what each project needs at the time. In my case, I was working with more or less the same people for over 2 years, all the way through SQL Compare 7, 8, and Schema Compare for Oracle. This helped to build a great sense of camaraderie wihin the team, and helped to form and maintain a team identity. This, in turn, meant we worked very well together, and so the final result was that much better (as well as making the work more fun). How is a project started and run? The product manager within each division collates user feedback and ideas, does lots of research, throws in a few ideas from people within the company, and then comes up with a list of what the division should work on in the next few years. This is split up into projects, and after each project is greenlit (I'll be discussing this later on) it is then assigned to a project team, as and when they become available (I'm sure there's lots of discussions and meetings at this point that I'm not aware of!). From that point, it's entirely up to the project team. Just as divisions are autonomous, project teams are also given a high degree of autonomy. All the teams in Red Gate use some sort of vaguely agile methodology; most use some variations on SCRUM, some have experimented with Kanban. Some store the project progress on a whiteboard, some use our bug tracker, others use different methods. It all depends on what the team members think will work best for them to get the best result at the end. From that point, the project proceeds as you would expect; code gets written, tests pass and fail, discussions about how to resolve various problems are had and decided upon, and out pops a new product, new point release, new internal tool, or whatever the project's goal was. The project manager ensures that everyone works together without too much bloodshed and that thrown missiles are constrained to Nerf bullets, the developers write the code, the testers ensure it actually works, and the tech author and UX designer ensure that people will be able to use the final product to solve their problem (after all, developers make lousy UI designers and technical authors). Projects in Red Gate last a relatively short amount of time; most projects are less than 6 months. The longest was 18 months. This has evolved as the company has grown, and I suspect is a side effect of the type of software Red Gate produces. As an ISV, we sell packaged software; we only get revenue when customers purchase the ready-made tools. As a result, we only get a sellable piece of software right at the end of a project. Therefore, the longer the project lasts, the more time and money has to be invested by the company before we get any revenue from it, and the riskier the project becomes. This drives the average project time down. Small project teams are the core of how Red Gate produces software, and are what the whole development effort of the company is built around. In my next post, I'll be looking at the office itself, and how all 200 of us manage to fit on two floors of a small office building.

    Read the article

  • Inside Red Gate - Divisions

    - by Simon Cooper
    When I joined Red Gate back in 2007, there were around 80 people in the company. Now, around 3 years later, it's grown to more than 200. It's a constant battle against Dunbar's number; the maximum number of people you can keep track of in a social group, to try and maintain that 'small company' feel that attracted myself and so many others to apply in the first place. There are several strategies the company's developed over the years to try and mitigate the effects of Dunbar's number. One of the main ones has been divisionalisation. Divisions The first division, .NET, appeared around the same time that I started in 2007. This combined the development, sales, marketing and management of the .NET tools (then, ANTS Profiler v3) into a separate section of the office. The idea was to increase the cohesion and communication between the different people involved in the entire lifecycle of the tools; from initial product development, through to marketing, then to customer support, who would feed back to the development team. This was such a success that the other development teams were re-worked around this model in 2009. Nowadays there are 4 divisions - SQL Tools, DBA, .NET, and New Business. Along the way there have been various tweaks to the details - the sales teams have been merged into the divisions, marketing and product support have been (mostly) centralised - but the same basic model remains. So, how has this helped? As Red Gate has continued to grow over the years, divisionalisation has turned Red Gate from a monolithic software company into what one person described as a 'federation of small businesses'. Each division is free to structure itself as it sees fit, it's free to decide what to concentrate development work on, organise its own newsletters and webinars, decide its own release schedule. Each division is its own small business. In terms of numbers, the size of each division varies from 20 people (.NET) to 52 (SQL Tools); well below Dunbar's number. From a developer's perspective, this means organisational structure is very flat & wide - there's only 2 layers between myself and the CEOs (not that it matters much; everyone can go and have a chat to Neil or Simon, or anyone else inbetween, whenever they want. Provided you can catch them at their desk!). As Red Gate grows, and expands into new areas, new divisions will be created as needed, old ones merged or disbanded, but the division structure will help to maintain that small-company feel that keeps Red Gate working as it does.

    Read the article

  • Inside Red Gate - Introduction

    - by Simon Cooper
    I work for Red Gate Software, a software company based in Cambridge, UK. In this series of posts, I'll be discussing how we develop software at Red Gate, and what we get up to, all from a dev's perspective. Before I start the series proper, in this post I'll give you a brief background to what I have done and continue to do as part of my job. The initial few posts will be giving an overview of how the development sections of the company work. There is much more to a software company than writing the products, but as I'm a developer my experience is biased towards that, and so that is what this series will concentrate on. My background Red Gate was founded in 1999 by Neil Davidson & Simon Galbraith, who continue to be joint CEOs. I joined in September 2007, and immediately set to work writing a new Check for Updates client and server (CfU), as part of a team of 2. That was finished at the end of 2007. I then joined the SQL Compare team. The first large project I worked on was updating SQL Compare for SQL Server 2008, resulting in SQL Compare 7, followed by a UI redesign in SQL Compare 8. By the end of this project in early 2009 I had become the 'go-to' guy for the SQL Compare Engine (I'll explain what that means in a later post), which is used by most of the other tools in the SQL Tools division in one way or another. After that, we decided to expand into Oracle, and I wrote the prototype for what became the engine of Schema Compare for Oracle (SCO). In the latter half of 2009 a full project was started, resulting in the release of SCO v1 in early 2010. Near the end of 2010 I moved to the .NET division, where I joined the team working on SmartAssembly. That's what I continue to work on today. The posts in this series will cover my experience in software development at Red Gate, within the SQL Tools and .NET divisions. Hopefully, you'll find this series an interesting look at what exactly goes into producing the software at Red Gate.

    Read the article

  • .NET Reflector 7.2 Early Access Build 2 Released: Performance Critical

    - by Bart Read
    I've just posted a write-up of some of the performance tuning I've done to improve .NET Reflector 7.2's start-up time here: http://www.reflector.net/2011/05/net-reflector-7-start-up-time-running-out-of-gas-or-pedal-to-the-metal/ You can get the new build from the .NET Reflector homepage at http://www.reflector.net/. Please remember to give us your feedback in the forum, at http://forums.reflector.net/, using the tags #7.2 and #eap. Technorati Tags: reflector,early access,7.2

    Read the article

  • Exceptional DBA Awards 2011

    - by Rebecca Amos
    From today, we’re accepting nominations for the 2011 Exceptional DBA Awards. DBAs make a vital contribution to the running of the companies they work for, and the Exceptional DBA Awards aim to acknowledge this and make this contribution more widely known. Check out our new website for all the info: www.exceptionaldba.com  Being an exceptional DBA doesn’t mean you have to sleep at the office, or know everything there is to know about SQL Server; who ever could? It means that you make an effort to make your servers secure and reliable, and to make your users’ lives easier. Maybe you’ve helped a junior colleague learn something new about server backups? Or cancelled your coffee break to get a database back online? Or contributed to a forum post on performance monitoring? All of these actions show that you might be an exceptional DBA. So have a think about the tasks you do every day that already make you exceptional – and then get started on your entry! You just need to answer a few questions on our website about your experience as a DBA, some of your biggest achievements, and any other activities you participate in within the SQL Server community. Anyone who is currently working as a SQL Server database administrator can enter, or be nominated by someone else. We’ve got four fantastic judges for the Awards, who you’ll be familiar with already: Brent Ozar, Brad McGehee, Rodney Landrum and Steve Jones. They’ll pick five finalists, and then we’ll ask the SQL Server community to vote for their winner. Not only could you win the respect and recognition of peers and colleagues, but the prizes also include full conference registration for the 2011 PASS Summit in Seattle (where the awards ceremony will take place), four nights' hotel accommodation, and $300 towards travel expenses. The winner will get a copy of Red Gate’s SQL DBA Bundle – and they’ll also be featured here, on Simple-Talk. So what are you waiting for? Chances are you’ve already made a small effort for someone today that means you might be an exceptional DBA. Visit the website now, and start writing your entry – or nominate your favourite DBA to enter: www.exceptionaldba.com

    Read the article

  • Monitoring Baseline

    - by Grant Fritchey
    Knowing what's happening on your servers is important, that's monitoring. Knowing what happened on your server is establishing a baseline. You need to do both. I really enjoyed this blog post by Ted Krueger (blog|twitter). It's not enough to know what happened in the last hour or yesterday, you need to compare today to last week, especially if you released software this weekend. You need to compare today to 30 days ago in order to begin to establish future projections. How your data has changed over 30 days is a great indicator how it's going to change for the next 30. No, it's not perfect, but predicting the future is not exactly a science, just ask your local weatherman. Red Gate's SQL Monitor can show you the last week, the last 30 days, the last year, or all data you've collected (if you choose to keep a year's worth of data or more, please have PLENTY of storage standing by). You have a lot of choice and control here over how much data you store. Here's the configuration window showing how you can set this up: This is for version 2.3 of SQL Monitor, so if you're running an older version, you might want to update. The key point is, a baseline simply represents a moment in time in your server. The ability to compare now to then is what you're looking for in order to really have a useful baseline as Ted lays out so well in his post.

    Read the article

  • Anatomy of a .NET Assembly - Signature encodings

    - by Simon Cooper
    If you've just joined this series, I highly recommend you read the previous posts in this series, starting here, or at least these posts, covering the CLR metadata tables. Before we look at custom attribute encoding, we first need to have a brief look at how signatures are encoded in an assembly in general. Signature types There are several types of signatures in an assembly, all of which share a common base representation, and are all stored as binary blobs in the #Blob heap, referenced by an offset from various metadata tables. The types of signatures are: Method definition and method reference signatures. Field signatures Property signatures Method local variables. These are referenced from the StandAloneSig table, which is then referenced by method body headers. Generic type specifications. These represent a particular instantiation of a generic type. Generic method specifications. Similarly, these represent a particular instantiation of a generic method. All these signatures share the same underlying mechanism to represent a type Representing a type All metadata signatures are based around the ELEMENT_TYPE structure. This assigns a number to each 'built-in' type in the framework; for example, Uint16 is 0x07, String is 0x0e, and Object is 0x1c. Byte codes are also used to indicate SzArrays, multi-dimensional arrays, custom types, and generic type and method variables. However, these require some further information. Firstly, custom types (ie not one of the built-in types). These require you to specify the 4-byte TypeDefOrRef coded token after the CLASS (0x12) or VALUETYPE (0x11) element type. This 4-byte value is stored in a compressed format before being written out to disk (for more excruciating details, you can refer to the CLI specification). SzArrays simply have the array item type after the SZARRAY byte (0x1d). Multidimensional arrays follow the ARRAY element type with a series of compressed integers indicating the number of dimensions, and the size and lower bound of each dimension. Generic variables are simply followed by the index of the generic variable they refer to. There are other additions as well, for example, a specific byte value indicates a method parameter passed by reference (BYREF), and other values indicating custom modifiers. Some examples... To demonstrate, here's a few examples and what the resulting blobs in the #Blob heap will look like. Each name in capitals corresponds to a particular byte value in the ELEMENT_TYPE or CALLCONV structure, and coded tokens to custom types are represented by the type name in curly brackets. A simple field: int intField; FIELD I4 A field of an array of a generic type parameter (assuming T is the first generic parameter of the containing type): T[] genArrayField FIELD SZARRAY VAR 0 An instance method signature (note how the number of parameters does not include the return type): instance string MyMethod(MyType, int&, bool[][]); HASTHIS DEFAULT 3 STRING CLASS {MyType} BYREF I4 SZARRAY SZARRAY BOOLEAN A generic type instantiation: MyGenericType<MyType, MyStruct> GENERICINST CLASS {MyGenericType} 2 CLASS {MyType} VALUETYPE {MyStruct} For more complicated examples, in the following C# type declaration: GenericType<T> : GenericBaseType<object[], T, GenericType<T>> { ... } the Extends field of the TypeDef for GenericType will point to a TypeSpec with the following blob: GENERICINST CLASS {GenericBaseType} 3 SZARRAY OBJECT VAR 0 GENERICINST CLASS {GenericType} 1 VAR 0 And a static generic method signature (generic parameters on types are referenced using VAR, generic parameters on methods using MVAR): TResult[] GenericMethod<TInput, TResult>( TInput, System.Converter<TInput, TOutput>); GENERIC 2 2 SZARRAY MVAR 1 MVAR 0 GENERICINST CLASS {System.Converter} 2 MVAR 0 MVAR 1 As you can see, complicated signatures are recursively built up out of quite simple building blocks to represent all the possible variations in a .NET assembly. Now we've looked at the basics of normal method signatures, in my next post I'll look at custom attribute application signatures, and how they are different to normal signatures.

    Read the article

  • Some Original Expressions

    - by Phil Factor
    Guest Editorial for Simple-Talk newsletterIn a guest editorial for the Simple-Talk Newsletter, Phil Factor wonders if we are still likely to find some more novel and unexpected ways of using the newer features of Transact SQL: or maybe in some features that have always been there! There can be a great deal of fun to be had in trying out recent features of SQL Expressions to see if  they provide new functionality.  It is surprisingly rare to find things that couldn’t be done before, but in a different   and more cumbersome way; but it is great to experiment or to read of someone else making that discovery.  One such recent feature is the ‘table value constructor’, or ‘VALUES constructor’, that managed to get into SQL Server 2008 from Standard SQL.  This allows you to create derived tables of up to 1000 rows neatly within select statements that consist of  lists of row values.  E.g. SELECT Old_Welsh, number FROM (VALUES ('Un',1),('Dou',2),('Tri',3),('Petuar',4),('Pimp',5),('Chwech',6),('Seith',7),('Wyth',8),('Nau',9),('Dec',10)) AS WelshWordsToTen (Old_Welsh, number) These values can be expressions that return single values, including, surprisingly, subqueries. You can use this device to create views, or in the USING clause of a MERGE statement. Joe Celko covered  this here and here.  It can become extraordinarily handy to use once one gets into the way of thinking in these terms, and I’ve rewritten a lot of routines to use the constructor, but the old way of using UNION can be used the same way, but is a little slower and more long-winded. The use of scalar SQL subqueries as an expression in a VALUES constructor, and then applied to a MERGE, has got me thinking. It looks very clever, but what use could one put it to? I haven’t seen anything yet that couldn’t be done almost as  simply in SQL Server 2000, but I’m hopeful that someone will come up with a way of solving a tricky problem, just in the same way that a freak of the XML syntax forever made the in-line  production of delimited lists from an expression easy, or that a weird XML pirouette could do an elegant  pivot-table rotation. It is in this sort of experimentation where the community of users can make a real contribution. The dissemination of techniques such as the Number, or Tally table, or the unconventional ways that the UPDATE statement can be used, has been rapid due to articles and blogs. However, there is plenty to be done to explore some of the less obvious features of Transact SQL. Even some of the features introduced into SQL Server 2000 are hardly well-known. Certain operations on data are still awkward to perform in Transact SQL, but we mustn’t, I think, be too ready to state that certain things can only be done in the application layer, or using a CLR routine. With the vast array of features in the product, and with the tools that surround it, I feel that there is generally a way of getting tricky things done. Or should we just stick to our lasts and push anything difficult out into procedural code? I’d love to know your views.

    Read the article

  • .NET Reflector 7.2 Early Access Build 1 Released

    - by Bart Read
    I've just posted up full details of this release on the .NET Reflector blog at http://www.reflector.net/2011/05/life-is-a-journey-not-a-destination-net-reflector-7-2-ea-1-has-been-released/ and, breaking with previous tradition, this includes a fairly extensive changelog. You can download this EA build from the .NET Reflector homepage at http://www.reflector.net/. Enjoy! (And please don't forget to tell us what you think on the forum, http://forums.reflector.net/, using the tags #7.2 and #eap.)...(read more)

    Read the article

  • C++ AMP recording and slides

    - by Daniel Moth
    Yesterday we announced C++ Accelerated Massive Parallelism. Many of you want to know more about the API instead of just meta information. I will trickle more code over the coming months leading up to the date when we will share actual bits. Until you have bits in your hand, it is only your curiosity that is blocked, so I ask you to be patient with that and allow me to release this on our own schedule ;-) You can now watch my 45-minute session introducing C++ AMP on channel9. You will also want to download the slides (pdf), because they are not readable in the recording. Comments about this post welcome at the original blog.

    Read the article

  • 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.

    Read the article

  • Speaking at AMD Fusion conference

    - by Daniel Moth
    Next Wednesday at 2pm I will be presenting a session at the AMD Fusion developer summit in Bellevue, Washington State. For more on this conference please visit the official website. If you filter the catalog by 'Speaker Last Name' to "Moth", you'll find my talk. For your convenience, below is the title and abstract Blazing-fast code using GPUs and more, with Microsoft Visual C++ To get full performance out of mainstream hardware, high-performance code needs to harness, not only multi-core CPUs, but also GPUs (whether discrete cards or integrated in the processor) and other compute accelerators to achieve orders-of-magnitude speed-up for data parallel algorithms. How can you as a C++ developer fully utilize all that heterogeneous hardware from your Visual Studio environment? How can your code benefit from this tremendous performance boost without sacrificing your developer productivity or the portability of your solution? The answers will be presented in this session that introduces a new technology from Microsoft. Hope to see many of you there! Comments about this post welcome at the original blog.

    Read the article

  • Monitor network connectivity in WP7 apps

    - by Daniel Moth
    Most interesting Windows Phone apps rely on some network service for their functionality. So at some point in your app you may need to know programmatically if there is network connection available or not. For example, the Translator by Moth app relies on the Bing Translation service for translations. When a request for translation (text or voice) is made, the network call may fail. The failure reason is not evident from any of the return results, so I check the connection to see if it is present. Dependent on that, a different message is shown to the user. Before the translation phase is even reached, at the app start up time the Bing service is queried for its list of  languages; in that case I don't want to show the user a message and instead want to be notified when the network is available in order to send the query out again. So for those two requirements (which I imagine are common in other apps) I wrote a simple wrapper MyNetwork static class to the framework APIs: Call once MyNetwork.MonitorNetworkAvailability() method so it monitors the network change At any time check the MyNetwork.IsConnected property to check for network presence Subscribe to its MyNetwork.ConnectionEstablished event Optionally, during debugging use its MyNetwork.ChangeStatus method to simulate a change in network status As usual, there may be better ways to achieve this, but this class works perfectly for my scenarios. You can download the code here: MyNetworks.cs. Comments about this post welcome at the original blog.

    Read the article

  • Supporting copy 'n paste in your Windows Phone app

    - by Daniel Moth
    Some Windows Phone 7 owners already have the NoDo update, and others are getting it soon. This update brings, among other things, copy & paste support for text boxes. The user taps on a piece of text (and can drag in either direction to select more/less words), a popup icon appears that when tapped copies the text to the clipboard, and then at any app that shows the soft input panel there is an icon option to paste the copied text into the associated textbox. For more read this 'how to'. Note that there is no programmatic access to the clipboard, only the end user experience I just summarized, so there is nothing you need to do for your app's textboxes to support copy & paste: it just works. The only issue may be if in your app you use static TextBlock controls, for which the copy support will not appear, of course. That was the case with my Translator by Moth app where the translated text appears in a TextBlock. So, I wanted the user to be able to copy directly from the translated text (without offering an editable TextBox for an area where user input does not make sense). Take a look at a screenshot of my app before I made any changes to it. I then made changes to it preserving the look and feel, yet with additional copy support (see screenshot on the right)! So how did I achieve that? Simply by using my co-author's template (thanks Peter!): Copyable TextBlock for Windows Phone.   (aside: in my app even without this change there is a workaround, the user could use the "swap" feature to swap the source and target, so they can copy from the text box) Comments about this post welcome at the original blog.

    Read the article

  • Watermark TextBox for Windows Phone

    - by Daniel Moth
    In my Translator by Moth app, in the textbox where the user enters a translation I show a "prompt" for the user that goes away when they tap on it to enter text (and returns if the textbox remains/becomes empty). See screenshot on the right (or download the free app to experience it). Back in June 2006 I had shown how to achieve this for Windows Vista (TextBox prompt), and a month later implemented a pure managed version for both desktop and Windows Mobile: TextBox with Cue Banner. So when I encountered the same need for my WP7 app, the path of least resistance for me was to convert my existing code to work for the phone. Usage: Instead of TextBox, in your xaml use TextBoxWithPrompt. Set the TextPrompt property to the text that you want the user to be prompted with. Use the MyText property to get/set the actual entered text (never use the Text property). Optionally, via properties change the default centered alignment and italic font, for the prompt text. It is that simple! You can grab my class here: TextBoxWithPrompt.cs Note, that there are many alternative (probably better) xaml-based solutions, so search around for those. Like I said, since I had solved this before, it was easier for my scenario to re-use my implementation – this does not represent best practice :-) Comments about this post welcome at the original blog.

    Read the article

  • What changes were made to a document

    - by Daniel Moth
    Part of my job is writing functional specs. Due to the inevitable iterative and incremental nature of software design/development, these specs need to be updated with additions/deletions/changes over a period of time. When the time comes for a developer to implement features or update their design document (or a tester to test the feature or update their test specs) they need to be doing that against the latest spec. The problem is that if they have reviewed this document already, they need a quick way to find the delta from the last time they reviewed it to see what changes exist and how their existing plans may be affected (instead of having to read the entire document again). Doing that is very easy assuming your Word documents are hosted on SharePoint. 1. Every time you review a document note the SharePoint version and/or date (if it is a printed copy, make sure your printout includes the date in the footer – all my specs do) 2. When you need to see what changed, open the document (make sure you are not using a cached or local offline copy) and on the ribbon go to the "Review" tab and then  click on the "Compare" button. 3. Click on the "Specific Version…" option. In the dialog that pops up pick the last version you reviewed and click the "Compare" button. [TIP for authors: before checkin of your document, always compare against the "Last Version" on the SharePoint so you can add appropriate more complete check in comments] 4. What you see now is that in addition to the document you have open, two other documents just opened up. One is in the background (flashing on your task bar) – close that one as it is the old version. 5. The other document is in the foreground and contains all the changes between the old version and the latest one. Be sure not to make edits to this document, use it only for reading the changes. To find all the changes, on the ribbon under the "Review" tab, click on the "Reviewing Pane" to open the reviewing pane on the left. You can now click on each pink change to see what it is. 6. When you are done reviewing changes close the document and don't save any changes (remember if you want to make edits/additions/comments make them in the original document which is still open). And now I have a URL to point to people that keep asking about this – enjoy  :-) Comments about this post welcome at the original blog.

    Read the article

  • Migrating SQL Server Databases – The DBA’s Checklist (Part 1)

    - by Sadequl Hussain
    It is a fact of life: SQL Server databases change homes. They move from one instance to another, from one version to the next, from old servers to new ones.  They move around as an organisation’s data grows, applications are enhanced or new versions of the database software are released. If not anything else, servers become old and unreliable and databases eventually need to find a new home. Consider the following scenarios: 1.     A new  database application is rolled out in a production server from the development or test environment 2.     A copy of the production database needs to be installed in a test server for troubleshooting purposes 3.     A copy of the development database is regularly refreshed in a test server during the system development life cycle 4.     A SQL Server is upgraded to a newer version. This can be an in-place upgrade or a side-by-side migration 5.     One or more databases need to be moved between different instances as part of a consolidation strategy. The instances can be running the same or different version of SQL Server 6.     A database has to be restored from a backup file provided by a third party application vendor 7.     A backup of the database is restored in the same or different instance for disaster recovery 8.     A database needs to be migrated within the same instance: a.     Files are moved from direct attached storage to storage area network b.    The same database is copied under a different name for another application Migrating SQL Server database applications is a complex topic in itself. There are a number of components that can be involved: jobs, DTS or SSIS packages, logins or linked servers are only few pieces of the puzzle. However, in this article we will focus only on the central part of migration: the installation of the database itself. Unless it is an in-place upgrade, typically the database is taken from a source server and installed in a destination instance.  Most of the time, a full backup file is used for the rollout. The backup file is either provided to the DBA or the DBA takes the backup and restores it in the target server. Sometimes the database is detached from the source and the files are copied to and attached in the destination. Regardless of the method of copying, moving, refreshing, restoring or upgrading the physical database, there are a number of steps the DBA should follow before and after it has been installed in the destination. It is these post database installation steps we are going to discuss below. Some of these steps apply in almost every scenario described above while some will depend on the type of objects contained within the database.  Also, the principles hold regardless of the number of databases involved. Step 1:  Make a copy of data and log files when attaching and detaching When detaching and attaching databases, ensure you have made copies of the data and log files if the destination is running a newer version of SQL Server. This is because once attached to a newer version, the database cannot be detached and attached back to an older version. Trying to do so will give you a message like the following: Server: Msg 602, Level 21, State 50, Line 1 Could not find row in sysindexes for database ID 6, object ID 1, index ID 1. Run DBCC CHECKTABLE on sysindexes. Connection Broken If you try to backup the attached database and restore it in the source, it will still fail. Similarly, if you are restoring the database in a newer version, it cannot be backed up or detached and put back in an older version of SQL. Unlike detach and attach method though, you do not lose the backup file or the original database here. When detaching and attaching a database, it is important you keep all the log files available along with the data files. It is possible to attach a database without a log file and SQL Server can be instructed to create a new log file, however this does not work if the database was detached when the primary file group was read-only. You will need all the log files in such cases. Step 2: Change database compatibility level Once the database has been restored or attached to a newer version of SQL Server, change the database compatibility level to reflect the newer version unless there is a compelling reason not to do so. When attaching or restoring from a previous version of SQL, the database retains the older version’s compatibility level.  The only time you would want to keep a database with an older compatibility level is when the code within your database is no longer supported by SQL Server. For example, outer joins with *= or the =* operators were still possible in SQL 2000 (with a warning message), but not in SQL 2005 anymore. If your stored procedures or triggers are using this form of join, you would want to keep the database with an older compatibility level.  For a list of compatibility issues between older and newer versions of SQL Server databases, refer to the Books Online under the sp_dbcmptlevel topic. Application developers and architects can help you in deciding whether you should change the compatibility level or not. You can always change the compatibility mode from the newest to an older version if necessary. To change the compatibility level, you can either use the database’s property from the SQL Server Management Studio or use the sp_dbcmptlevel stored procedure.   Bear in mind that you cannot run the built-in reports for databases from SQL Server Management Studio if you keep the database with an older compatibility level. The following figure shows the error message I received when trying to run the “Disk Usage by Top Tables” report against a database. This database was hosted in a SQL Server 2005 system and still had a compatibility mode 80 (SQL 2000).     Continues…

    Read the article

  • Altering a Column Which has a Default Constraint

    - by Dinesh Asanka
    Setting up a default column is a common task for  developers.  But, are we naming those default constraints explicitly? In the below  table creation, for the column, sys_DateTime the default value Getdate() will be allocated. CREATE TABLE SampleTable (ID int identity(1,1), Sys_DateTime Datetime DEFAULT getdate() ) We can check the relevant information from the system catalogs from following query. SELECT sc.name TableName, dc.name DefaultName, dc.definition, OBJECT_NAME(dc.parent_object_id) TableName, dc.is_system_named  FROM sys.default_constraints dc INNER JOIN sys.columns sc ON dc.parent_object_id = sc.object_id AND dc.parent_column_id = sc.column_id and results would be: Most of the above columns are self-explanatory. The last column, is_system_named, is to identify whether the default name was given by the system. As you know, in the above case, since we didn’t provide  any default name, the  system will generate a default name for you. But the problem with these names is that they can differ from environment to environment.  If example if I create this table in different table the default name could be DF__SampleTab__Sys_D__7E6CC920 Now let us create another default and explicitly name it: CREATE TABLE SampleTable2 (ID int identity(1,1), Sys_DateTime Datetime )   ALTER TABLE SampleTable2 ADD CONSTRAINT DF_sys_DateTime_Getdate DEFAULT( Getdate()) FOR Sys_DateTime If we run the previous query again we will be returned the below output. And you can see that last created default name has 0 for is_system_named. Now let us say I want to change the data type of the sys_DateTime column to something else: ALTER TABLE SampleTable2 ALTER COLUMN Sys_DateTime Date This will generate the below error: Msg 5074, Level 16, State 1, Line 1 The object ‘DF_sys_DateTime_Getdate’ is dependent on column ‘Sys_DateTime’. Msg 4922, Level 16, State 9, Line 1 ALTER TABLE ALTER COLUMN Sys_DateTime failed because one or more objects access this column. This means, you need to drop the default constraint before altering it: ALTER TABLE [dbo].[SampleTable2] DROP CONSTRAINT [DF_sys_DateTime_Getdate] ALTER TABLE SampleTable2 ALTER COLUMN Sys_DateTime Date   ALTER TABLE [dbo].[SampleTable2] ADD CONSTRAINT [DF_sys_DateTime_Getdate] DEFAULT (getdate()) FOR [Sys_DateTime] If you have a system named default constraint that can differ from environment to environment and so you cannot drop it as before, you can use the below code template: DECLARE @defaultname VARCHAR(255) DECLARE @executesql VARCHAR(1000)   SELECT @defaultname = dc.name FROM sys.default_constraints dc INNER JOIN sys.columns sc ON dc.parent_object_id = sc.object_id AND dc.parent_column_id = sc.column_id WHERE OBJECT_NAME (parent_object_id) = 'SampleTable' AND sc.name ='Sys_DateTime' SET @executesql = 'ALTER TABLE SampleTable DROP CONSTRAINT ' + @defaultname EXEC( @executesql) ALTER TABLE SampleTable ALTER COLUMN Sys_DateTime Date ALTER TABLE [dbo].[SampleTable] ADD DEFAULT (Getdate()) FOR [Sys_DateTime]

    Read the article

  • Monitor SQL Server Replication Jobs

    - by Yaniv Etrogi
    The Replication infrastructure in SQL Server is implemented using SQL Server Agent to execute the various components involved in the form of a job (e.g. LogReader agent job, Distribution agent job, Merge agent job) SQL Server jobs execute a binary executable file which is basically C++ code. You can download all the scripts for this article here SQL Server Job Schedules By default each of job has only one schedule that is set to Start automatically when SQL Server Agent starts. This schedule ensures that when ever the SQL Server Agent service is started all the replication components are also put into action. This is OK and makes sense but there is one problem with this default configuration that needs improvement  -  if for any reason one of the components fails it remains down in a stopped state.   Unless you monitor the status of each component you will typically get to know about such a failure from a customer complaint as a result of missing data or data that is not up to date at the subscriber level. Furthermore, having any of these components in a stopped state can lead to more severe problems if not corrected within a short time. The action required to improve on this default settings is in fact very simple. Adding a second schedule that is set as a Daily Reoccurring schedule which runs every 1 minute does the trick. SQL Server Agent’s scheduler module knows how to handle overlapping schedules so if the job is already being executed by another schedule it will not get executed again at the same time. So, in the event of a failure the failed job remains down for at most 60 seconds. Many DBAs are not aware of this capability and so search for more complex solutions such as having an additional dedicated job running an external code in VBS or another scripting language that detects replication jobs in a stopped state and starts them but there is no need to seek such external solutions when what is needed can be accomplished by T-SQL code. SQL Server Jobs Status In addition to the 1 minute schedule we also want to ensure that key components in the replication are enabled so I can search for those components by their Category, and set their status to enabled in case they are disabled, by executing the stored procedure MonitorEnableReplicationAgents. The jobs that I typically have handled are listed below but you may want to extend this, so below is the query to return all jobs along with their category. SELECT category_id, name FROM msdb.dbo.syscategories ORDER BY category_id; Distribution Cleanup LogReader Agent Distribution Agent Snapshot Agent Jobs By default when a publication is created, a snapshot agent job also gets created with a daily schedule. I see more organizations where the snapshot agent job does not need to be executed automatically by the SQL Server Agent  scheduler than organizations who   need a new snapshot generated automatically. To assure this setting is in place I created the stored procedure MonitorSnapshotAgentsSchedules which disables snapshot agent jobs and also deletes the job schedule. It is worth mentioning that when the publication property immediate_sync is turned off then the snapshot files are not created when the Snapshot agent is executed by the job. You control this property when the publication is created with a parameter called @immediate_sync passed to sp_addpublication and for an existing publication you can use sp_changepublication. Implementation The scripts assume the existence of a database named PerfDB. Steps: Run the scripts to create the stored procedures in the PerfDB database. Create a job that executes the stored procedures every hour. -- Verify that the 1_Minute schedule exists. EXEC PerfDB.dbo.MonitorReplicationAgentsSchedules @CategoryId = 10; /* Distribution */ EXEC PerfDB.dbo.MonitorReplicationAgentsSchedules @CategoryId = 13; /* LogReader */ -- Verify all replication agents are enabled. EXEC PerfDB.dbo.MonitorEnableReplicationAgents @CategoryId = 10; /* Distribution */ EXEC PerfDB.dbo.MonitorEnableReplicationAgents @CategoryId = 13; /* LogReader */ EXEC PerfDB.dbo.MonitorEnableReplicationAgents @CategoryId = 11; /* Distribution clean up */ -- Verify that Snapshot agents are disabled and have no schedule EXEC PerfDB.dbo.MonitorSnapshotAgentsSchedules; Want to read more of about replication? Check at my replication posts at my blog.

    Read the article

  • Importing data from text file to specific columns using BULK INSERT

    - by Dinesh Asanka
    Bulk insert is much faster than using other techniques such as  SSIS. However, when you are using bulk insert you can’t insert to specific columns. If, for example, there are five columns in a table you should have five values for each record in the text file you are importing from. This is an issue when you are expecting default values to be inserted into tables. Let us say you have table as below: In this table, you are expecting ID, Status and CreatedDate to be updated automatically, so your text file may only have   FirstName  LastName  values as below: Dinesh,Asanka Saman,Liyanage Ruwan,Silva Susantha,Bathige Jude,Peires Sanjeewa,Jayawickrama If you use bulk insert to this table like follows, You will be returned an error: Bulk load data conversion error (type mismatch or invalid character for the specified codepage) for row 1, column 1 (ID). To avoid this you will need to create a view with the columns you are expecting to fill and use bulk insert against it. If you check the table now, you will see table with values in the text file and the default values.

    Read the article

  • Troubleshooting High-CPU Utilization for SQL Server

    - by Susantha Bathige
    The objective of this FAQ is to outline the basic steps in troubleshooting high CPU utilization on  a server hosting a SQL Server instance. The first and the most common step if you suspect high CPU utilization (or are alerted for it) is to login to the physical server and check the Windows Task Manager. The Performance tab will show the high utilization as shown below: Next, we need to determine which process is responsible for the high CPU consumption. The Processes tab of the Task Manager will show this information: Note that to see all processes you should select Show processes from all user. In this case, SQL Server (sqlserver.exe) is consuming 99% of the CPU (a normal benchmark for max CPU utilization is about 50-60%). Next we examine the scheduler data. Scheduler is a component of SQLOS which evenly distributes load amongst CPUs. The query below returns the important columns for CPU troubleshooting. Note – if your server is under severe stress and you are unable to login to SSMS, you can use another machine’s SSMS to login to the server through DAC – Dedicated Administrator Connection (see http://msdn.microsoft.com/en-us/library/ms189595.aspx for details on using DAC) SELECT scheduler_id ,cpu_id ,status ,runnable_tasks_count ,active_workers_count ,load_factor ,yield_count FROM sys.dm_os_schedulers WHERE scheduler_id See below for the BOL definitions for the above columns. scheduler_id – ID of the scheduler. All schedulers that are used to run regular queries have ID numbers less than 1048576. Those schedulers that have IDs greater than or equal to 1048576 are used internally by SQL Server, such as the dedicated administrator connection scheduler. cpu_id – ID of the CPU with which this scheduler is associated. status – Indicates the status of the scheduler. runnable_tasks_count – Number of workers, with tasks assigned to them that are waiting to be scheduled on the runnable queue. active_workers_count – Number of workers that are active. An active worker is never preemptive, must have an associated task, and is either running, runnable, or suspended. current_tasks_count - Number of current tasks that are associated with this scheduler. load_factor – Internal value that indicates the perceived load on this scheduler. yield_count – Internal value that is used to indicate progress on this scheduler.                                                                 Now to interpret the above data. There are four schedulers and each assigned to a different CPU. All the CPUs are ready to accept user queries as they all are ONLINE. There are 294 active tasks in the output as per the current_tasks_count column. This count indicates how many activities currently associated with the schedulers. When a  task is complete, this number is decremented. The 294 is quite a high figure and indicates all four schedulers are extremely busy. When a task is enqueued, the load_factor  value is incremented. This value is used to determine whether a new task should be put on this scheduler or another scheduler. The new task will be allocated to less loaded scheduler by SQLOS. The very high value of this column indicates all the schedulers have a high load. There are 268 runnable tasks which mean all these tasks are assigned a worker and waiting to be scheduled on the runnable queue.   The next step is  to identify which queries are demanding a lot of CPU time. The below query is useful for this purpose (note, in its current form,  it only shows the top 10 records). SELECT TOP 10 st.text  ,st.dbid  ,st.objectid  ,qs.total_worker_time  ,qs.last_worker_time  ,qp.query_plan FROM sys.dm_exec_query_stats qs CROSS APPLY sys.dm_exec_sql_text(qs.sql_handle) st CROSS APPLY sys.dm_exec_query_plan(qs.plan_handle) qp ORDER BY qs.total_worker_time DESC This query as total_worker_time as the measure of CPU load and is in descending order of the  total_worker_time to show the most expensive queries and their plans at the top:      Note the BOL definitions for the important columns: total_worker_time - Total amount of CPU time, in microseconds, that was consumed by executions of this plan since it was compiled. last_worker_time - CPU time, in microseconds, that was consumed the last time the plan was executed.   I re-ran the same query again after few seconds and was returned the below output. After few seconds the SP dbo.TestProc1 is shown in fourth place and once again the last_worker_time is the highest. This means the procedure TestProc1 consumes a CPU time continuously each time it executes.      In this case, the primary cause for high CPU utilization was a stored procedure. You can view the execution plan by clicking on query_plan column to investigate why this is causing a high CPU load. I have used SQL Server 2008 (SP1) to test all the queries used in this article.

    Read the article

  • Whether to use UNION or OR in SQL Server Queries

    - by Dinesh Asanka
    Recently I came across with an article on DB2 about using Union instead of OR. So I thought of carrying out a research on SQL Server on what scenarios UNION is optimal in and which scenarios OR would be best. I will analyze this with a few scenarios using samples taken  from the AdventureWorks database Sales.SalesOrderDetail table. Scenario 1: Selecting all columns So we are going to select all columns and you have a non-clustered index on the ProductID column. --Query 1 : OR SELECT * FROM Sales.SalesOrderDetail WHERE ProductID = 714 OR ProductID =709 OR ProductID =998 OR ProductID =875 OR ProductID =976 OR ProductID =874 --Query 2 : UNION SELECT * FROM Sales.SalesOrderDetail WHERE ProductID = 714 UNION SELECT * FROM Sales.SalesOrderDetail WHERE ProductID = 709 UNION SELECT * FROM Sales.SalesOrderDetail WHERE ProductID = 998 UNION SELECT * FROM Sales.SalesOrderDetail WHERE ProductID = 875 UNION SELECT * FROM Sales.SalesOrderDetail WHERE ProductID = 976 UNION SELECT * FROM Sales.SalesOrderDetail WHERE ProductID = 874 So query 1 is using OR and the later is using UNION. Let us analyze the execution plans for these queries. Query 1 Query 2 As expected Query 1 will use Clustered Index Scan but Query 2, uses all sorts of things. In this case, since it is using multiple CPUs you might have CX_PACKET waits as well. Let’s look at the profiler results for these two queries: CPU Reads Duration Row Counts OR 78 1252 389 3854 UNION 250 7495 660 3854 You can see from the above table the UNION query is not performing well as the  OR query though both are retuning same no of rows (3854).These results indicate that, for the above scenario UNION should be used. Scenario 2: Non-Clustered and Clustered Index Columns only --Query 1 : OR SELECT ProductID,SalesOrderID, SalesOrderDetailID FROM Sales.SalesOrderDetail WHERE ProductID = 714 OR ProductID =709 OR ProductID =998 OR ProductID =875 OR ProductID =976 OR ProductID =874 GO --Query 2 : UNION SELECT ProductID,SalesOrderID, SalesOrderDetailID FROM Sales.SalesOrderDetail WHERE ProductID = 714 UNION SELECT ProductID,SalesOrderID, SalesOrderDetailID FROM Sales.SalesOrderDetail WHERE ProductID = 709 UNION SELECT ProductID,SalesOrderID, SalesOrderDetailID FROM Sales.SalesOrderDetail WHERE ProductID = 998 UNION SELECT ProductID,SalesOrderID, SalesOrderDetailID FROM Sales.SalesOrderDetail WHERE ProductID = 875 UNION SELECT ProductID,SalesOrderID, SalesOrderDetailID FROM Sales.SalesOrderDetail WHERE ProductID = 976 UNION SELECT ProductID,SalesOrderID, SalesOrderDetailID FROM Sales.SalesOrderDetail WHERE ProductID = 874 GO So this time, we will be selecting only index columns, which means these queries will avoid a data page lookup. As in the previous case we will analyze the execution plans: Query 1 Query 2 Again, Query 2 is more complex than Query 1. Let us look at the profile analysis: CPU Reads Duration Row Counts OR 0 24 208 3854 UNION 0 38 193 3854 In this analyzis, there is only slight difference between OR and UNION. Scenario 3: Selecting all columns for different fields Up to now, we were using only one column (ProductID) in the where clause.  What if we have two columns for where clauses and let us assume both are covered by non-clustered indexes? --Query 1 : OR SELECT * FROM Sales.SalesOrderDetail WHERE ProductID = 714 OR CarrierTrackingNumber LIKE 'D0B8%' --Query 2 : UNION SELECT * FROM Sales.SalesOrderDetail WHERE ProductID = 714 UNION SELECT * FROM Sales.SalesOrderDetail WHERE CarrierTrackingNumber  LIKE 'D0B8%' Query 1 Query 2: As we can see, the query plan for the second query has improved. Let us see the profiler results. CPU Reads Duration Row Counts OR 47 1278 443 1228 UNION 31 1334 400 1228 So in this case too, there is little difference between OR and UNION. Scenario 4: Selecting Clustered index columns for different fields Now let us go only with clustered indexes: --Query 1 : OR SELECT * FROM Sales.SalesOrderDetail WHERE ProductID = 714 OR CarrierTrackingNumber LIKE 'D0B8%' --Query 2 : UNION SELECT * FROM Sales.SalesOrderDetail WHERE ProductID = 714 UNION SELECT * FROM Sales.SalesOrderDetail WHERE CarrierTrackingNumber  LIKE 'D0B8%' Query 1 Query 2 Now both execution plans are almost identical except is an additional Stream Aggregate is used in the first query. This means UNION has advantage over OR in this scenario. Let us see profiler results for these queries again. CPU Reads Duration Row Counts OR 0 319 366 1228 UNION 0 50 193 1228 Now see the differences, in this scenario UNION has somewhat of an advantage over OR. Conclusion Using UNION or OR depends on the scenario you are faced with. So you need to do your analyzing before selecting the appropriate method. Also, above the four scenarios are not all an exhaustive list of scenarios, I selected those for the broad description purposes only.

    Read the article

  • Adding Column to a SQL Server Table

    - by Dinesh Asanka
    Adding a column to a table is  common task for  DBAs. You can add a column to a table which is a nullable column or which has default values. But are these two operations are similar internally and which method is optimal? Let us start this with an example. I created a database and a table using following script: USE master Go --Drop Database if exists IF EXISTS (SELECT 1 FROM SYS.databases WHERE name = 'AddColumn') DROP DATABASE AddColumn --Create the database CREATE DATABASE AddColumn GO USE AddColumn GO --Drop the table if exists IF EXISTS ( SELECT 1 FROM sys.tables WHERE Name = 'ExistingTable') DROP TABLE ExistingTable GO --Create the table CREATE TABLE ExistingTable (ID BIGINT IDENTITY(1,1) PRIMARY KEY CLUSTERED, DateTime1 DATETIME DEFAULT GETDATE(), DateTime2 DATETIME DEFAULT GETDATE(), DateTime3 DATETIME DEFAULT GETDATE(), DateTime4 DATETIME DEFAULT GETDATE(), Gendar CHAR(1) DEFAULT 'M', STATUS1 CHAR(1) DEFAULT 'Y' ) GO -- Insert 100,000 records with defaults records INSERT INTO ExistingTable DEFAULT VALUES GO 100000 Before adding a Column Before adding a column let us look at some of the details of the database. DBCC IND (AddColumn,ExistingTable,1) By running the above query, you will see 637 pages for the created table. Adding a Column You can add a column to the table with following statement. ALTER TABLE ExistingTable Add NewColumn INT NULL Above will add a column with a null value for the existing records. Alternatively you could add a column with default values. ALTER TABLE ExistingTable Add NewColumn INT NOT NULL DEFAULT 1 The above statement will add a column with a 1 value to the existing records. In the below table I measured the performance difference between above two statements. Parameter Nullable Column Default Value CPU 31 702 Duration 129 ms 6653 ms Reads 38 116,397 Writes 6 1329 Row Count 0 100000 If you look at the RowCount parameter, you can clearly see the difference. Though column is added in the first case, none of the rows are affected while in the second case all the rows are updated. That is the reason, why it has taken more duration and CPU to add column with Default value. We can verify this by several methods. Number of Pages The number of data pages can be obtained by using DBCC IND command. Though, this an undocumented dbcc command, many experts are ok to use this command in production. However, since there is no official word from Microsoft, use this “at your own risk”. DBCC IND (AddColumn,ExistingTable,1) Before Adding the Columns 637 Adding a Column with NULL 637 Adding a column with DEFAULT value 1270 This clearly shows that pages are physically modified. Please note, a high value indicated in the Adding a column with DEFAULT value  column is also a result of page splits. Continues…

    Read the article

  • Implementing Database Settings Using Policy Based Management

    - by Ashish Kumar Mehta
    Introduction Database Administrators have always had a tough time to ensuring that all the SQL Servers administered by them are configured according to the policies and standards of organization. Using SQL Server’s  Policy Based Management feature DBAs can now manage one or more instances of SQL Server 2008 and check for policy compliance issues. In this article we will utilize Policy Based Management (aka Declarative Management Framework or DMF) feature of SQL Server to implement and verify database settings on all production databases. It is best practice to enforce the below settings on each Production database. However, it can be tedious to go through each database and then check whether the below database settings are implemented across databases. In this article I will explain it to you how to utilize the Policy Based Management Feature of SQL Server 2008 to create a policy to verify these settings on all databases and in cases of non-complaince how to bring them back into complaince. Database setting to enforce on each user database : Auto Close and Auto Shrink Properties of database set to False Auto Create Statistics and Auto Update Statistics set to True Compatibility Level of all the user database set as 100 Page Verify set as CHECKSUM Recovery Model of all user database set to Full Restrict Access set as MULTI_USER Configure a Policy to Verify Database Settings 1. Connect to SQL Server 2008 Instance using SQL Server Management Studio 2. In the Object Explorer, Click on Management > Policy Management and you will be able to see Policies, Conditions & Facets as child nodes 3. Right click Policies and then select New Policy…. from the drop down list as shown in the snippet below to open the  Create New Policy Popup window. 4. In the Create New Policy popup window you need to provide the name of the policy as “Implementing and Verify Database Settings for Production Databases” and then click the drop down list under Check Condition. As highlighted in the snippet below click on the New Condition… option to open up the Create New Condition window. 5. In the Create New Condition popup window you need to provide the name of the condition as “Verify and Change Database Settings”. In the Facet drop down list you need to choose the Facet as Database Options as shown in the snippet below. Under Expression you need to select Field value as @AutoClose and then choose Operator value as ‘ = ‘ and finally choose Value as False. Now that you have successfully added the first field you can now go ahead and add rest of the fields as shown in the snippet below. Once you have successfully added all the above shown fields of Database Options Facet, click OK to save the changes and to return to the parent Create New Policy – Implementing and Verify Database Settings for Production Database windows where you will see that the newly created condition “Verify and Change Database Settings” is selected by default. Continues…

    Read the article

  • Manage and Monitor Identity Ranges in SQL Server Transactional Replication

    - by Yaniv Etrogi
    Problem When using transactional replication to replicate data in a one way topology from a publisher to a read-only subscriber(s) there is no need to manage identity ranges. However, when using  transactional replication to replicate data in a two way replication topology - between two or more servers there is a need to manage identity ranges in order to prevent a situation where an INSERT commands fails on a PRIMARY KEY violation error  due to the replicated row being inserted having a value for the identity column which already exists at the destination database. Solution There are two ways to address this situation: Assign a range of identity values per each server. Work with parallel identity values. The first method requires some maintenance while the second method does not and so the scripts provided with this article are very useful for anyone using the first method. I will explore this in more detail later in the article. In the first solution set server1 to work in the range of 1 to 1,000,000,000 and server2 to work in the range of 1,000,000,001 to 2,000,000,000.  The ranges are set and defined using the DBCC CHECKIDENT command and when the ranges in this example are well maintained you meet the goal of preventing the INSERT commands to fall due to a PRIMARY KEY violation. The first insert at server1 will get the identity value of 1, the second insert will get the value of 2 and so on while on server2 the first insert will get the identity value of 1000000001, the second insert 1000000002 and so on thus avoiding a conflict. Be aware that when a row is inserted the identity value (seed) is generated as part of the insert command at each server and the inserted row is replicated. The replicated row includes the identity column’s value so the data remains consistent across all servers but you will be able to tell on what server the original insert took place due the range that  the identity value belongs to. In the second solution you do not manage ranges but enforce a situation in which identity values can never get overlapped by setting the first identity value (seed) and the increment property one time only during the CREATE TABLE command of each table. So a table on server1 looks like this: CREATE TABLE T1 (  c1 int NOT NULL IDENTITY(1, 5) PRIMARY KEY CLUSTERED ,c2 int NOT NULL ); And a table on server2 looks like this: CREATE TABLE T1(  c1 int NOT NULL IDENTITY(2, 5) PRIMARY KEY CLUSTERED ,c2 int NOT NULL ); When these two tables are inserted the results of the identity values look like this: Server1:  1, 6, 11, 16, 21, 26… Server2:  2, 7, 12, 17, 22, 27… This assures no identity values conflicts while leaving a room for 3 additional servers to participate in this same environment. You can go up to 9 servers using this method by setting an increment value of 9 instead of 5 as I used in this example. Continues…

    Read the article

< Previous Page | 10 11 12 13 14 15 16 17 18 19 20 21  | Next Page >