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  • Where did I hide my TSQL mojo?

    - by fatherjack
    LiveJournal Tags: How To,SQL Server,Tips and Tricks,TSQL,Reporting Services A little while ago I wrote a piece about finding database objects that rely on other objects that no longer exist - OK, I have my database ready, now what's missing? . This is linked to that sort of process. Many SQL Server installations are associated in some way with a Reporting Services installation, it's a very logical way to distribute your database contents to system users so they can work effectively. Databases,...(read more)

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  • SmartAssembly Support: How to change the maps folder

    - by Bart Read
    If you've set up SmartAssembly to store error reports in a SQL Server database, you'll also have specified a folder for the map files that are used to de-obfuscate error reports (see Figure 1). Whilst you can change the database easily enough you can't change the map folder path via the UI - if you click on it, it'll just open the folder in Explorer - but never fear, you can change it manually and fortunately it's not that difficult. (If you want to get to these settings click the Tools > Options link on the left-hand side of the SmartAssembly main window.)   Figure 1. Error reports database settings in SmartAssembly. The folder path is actually stored in the database, so you just need to open up SQL Server Management Studio, connect to the SQL Server where your error reports database is stored, then open a new query on the SmartAssembly database by right-clicking on it in the Object Explorer, then clicking New Query (see figure 2).     Figure 2. Opening a new query against the SmartAssembly error reports database in SQL Server. Now execute the following SQL query in the new query window: SELECT * FROM dbo.Information You should find that you get a result set rather like that shown in figure 3. You can see that the map folder path is stored in the MapFolderNetworkPath column.   Figure 3. Contents of the dbo.Information table, showing the map folder path I set in SmartAssembly. All I need to do to change this is execute the following SQL: UPDATE dbo.Information SET MapFolderNetworkPath = '\\UNCPATHTONEWFOLDER' WHERE MapFolderNetworkPath = '\\dev-ltbart\SAMaps' This will change the map folder path to whatever I supply in the SET clause. Once you've done this, you can verify the change by executing the following again: SELECT * FROM dbo.Information You should find the result set contains the new path you've set.

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  • SQLBeat Podcast – Episode 6 – And the Winner is…Meredith Ryan from Albakerkee.

    - by SQLBeat
    In this episode I speak with the winner of the Exceptional DBA Award for 2012, Meredith Ryan.  We talk about a lot of things, but mainly attending the PASS Summit, first timers (this is PASS related too) and SQL Saturdays. Meredith has been with her present company for 14 years, an achievement of a bygone era in IT, but we are kindred in this area having worked at my present position for nearly 7. We also agree that every DBA should have to spend at least 2 years on Help Desk. I feel really, really dumb for not having recognized her tattoo, which I shamelessly ask about.  Congratulations, Meredith on your award and I look forward to meeting you this year in a few short weeks. Download the MP3

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  • How to find and fix performance problems in ORM powered applications

    - by FransBouma
    Once in a while we get requests about how to fix performance problems with our framework. As it comes down to following the same steps and looking into the same things every single time, I decided to write a blogpost about it instead, so more people can learn from this and solve performance problems in their O/R mapper powered applications. In some parts it's focused on LLBLGen Pro but it's also usable for other O/R mapping frameworks, as the vast majority of performance problems in O/R mapper powered applications are not specific for a certain O/R mapper framework. Too often, the developer looks at the wrong part of the application, trying to fix what isn't a problem in that part, and getting frustrated that 'things are so slow with <insert your favorite framework X here>'. I'm in the O/R mapper business for a long time now (almost 10 years, full time) and as it's a small world, we O/R mapper developers know almost all tricks to pull off by now: we all know what to do to make task ABC faster and what compromises (because there are almost always compromises) to deal with if we decide to make ABC faster that way. Some O/R mapper frameworks are faster in X, others in Y, but you can be sure the difference is mainly a result of a compromise some developers are willing to deal with and others aren't. That's why the O/R mapper frameworks on the market today are different in many ways, even though they all fetch and save entities from and to a database. I'm not suggesting there's no room for improvement in today's O/R mapper frameworks, there always is, but it's not a matter of 'the slowness of the application is caused by the O/R mapper' anymore. Perhaps query generation can be optimized a bit here, row materialization can be optimized a bit there, but it's mainly coming down to milliseconds. Still worth it if you're a framework developer, but it's not much compared to the time spend inside databases and in user code: if a complete fetch takes 40ms or 50ms (from call to entity object collection), it won't make a difference for your application as that 10ms difference won't be noticed. That's why it's very important to find the real locations of the problems so developers can fix them properly and don't get frustrated because their quest to get a fast, performing application failed. Performance tuning basics and rules Finding and fixing performance problems in any application is a strict procedure with four prescribed steps: isolate, analyze, interpret and fix, in that order. It's key that you don't skip a step nor make assumptions: these steps help you find the reason of a problem which seems to be there, and how to fix it or leave it as-is. Skipping a step, or when you assume things will be bad/slow without doing analysis will lead to the path of premature optimization and won't actually solve your problems, only create new ones. The most important rule of finding and fixing performance problems in software is that you have to understand what 'performance problem' actually means. Most developers will say "when a piece of software / code is slow, you have a performance problem". But is that actually the case? If I write a Linq query which will aggregate, group and sort 5 million rows from several tables to produce a resultset of 10 rows, it might take more than a couple of milliseconds before that resultset is ready to be consumed by other logic. If I solely look at the Linq query, the code consuming the resultset of the 10 rows and then look at the time it takes to complete the whole procedure, it will appear to me to be slow: all that time taken to produce and consume 10 rows? But if you look closer, if you analyze and interpret the situation, you'll see it does a tremendous amount of work, and in that light it might even be extremely fast. With every performance problem you encounter, always do realize that what you're trying to solve is perhaps not a technical problem at all, but a perception problem. The second most important rule you have to understand is based on the old saying "Penny wise, Pound Foolish": the part which takes e.g. 5% of the total time T for a given task isn't worth optimizing if you have another part which takes a much larger part of the total time T for that same given task. Optimizing parts which are relatively insignificant for the total time taken is not going to bring you better results overall, even if you totally optimize that part away. This is the core reason why analysis of the complete set of application parts which participate in a given task is key to being successful in solving performance problems: No analysis -> no problem -> no solution. One warning up front: hunting for performance will always include making compromises. Fast software can be made maintainable, but if you want to squeeze as much performance out of your software, you will inevitably be faced with the dilemma of compromising one or more from the group {readability, maintainability, features} for the extra performance you think you'll gain. It's then up to you to decide whether it's worth it. In almost all cases it's not. The reason for this is simple: the vast majority of performance problems can be solved by implementing the proper algorithms, the ones with proven Big O-characteristics so you know the performance you'll get plus you know the algorithm will work. The time taken by the algorithm implementing code is inevitable: you already implemented the best algorithm. You might find some optimizations on the technical level but in general these are minor. Let's look at the four steps to see how they guide us through the quest to find and fix performance problems. Isolate The first thing you need to do is to isolate the areas in your application which are assumed to be slow. For example, if your application is a web application and a given page is taking several seconds or even minutes to load, it's a good candidate to check out. It's important to start with the isolate step because it allows you to focus on a single code path per area with a clear begin and end and ignore the rest. The rest of the steps are taken per identified problematic area. Keep in mind that isolation focuses on tasks in an application, not code snippets. A task is something that's started in your application by either another task or the user, or another program, and has a beginning and an end. You can see a task as a piece of functionality offered by your application.  Analyze Once you've determined the problem areas, you have to perform analysis on the code paths of each area, to see where the performance problems occur and which areas are not the problem. This is a multi-layered effort: an application which uses an O/R mapper typically consists of multiple parts: there's likely some kind of interface (web, webservice, windows etc.), a part which controls the interface and business logic, the O/R mapper part and the RDBMS, all connected with either a network or inter-process connections provided by the OS or other means. Each of these parts, including the connectivity plumbing, eat up a part of the total time it takes to complete a task, e.g. load a webpage with all orders of a given customer X. To understand which parts participate in the task / area we're investigating and how much they contribute to the total time taken to complete the task, analysis of each participating task is essential. Start with the code you wrote which starts the task, analyze the code and track the path it follows through your application. What does the code do along the way, verify whether it's correct or not. Analyze whether you have implemented the right algorithms in your code for this particular area. Remember we're looking at one area at a time, which means we're ignoring all other code paths, just the code path of the current problematic area, from begin to end and back. Don't dig in and start optimizing at the code level just yet. We're just analyzing. If your analysis reveals big architectural stupidity, it's perhaps a good idea to rethink the architecture at this point. For the rest, we're analyzing which means we collect data about what could be wrong, for each participating part of the complete application. Reviewing the code you wrote is a good tool to get deeper understanding of what is going on for a given task but ultimately it lacks precision and overview what really happens: humans aren't good code interpreters, computers are. We therefore need to utilize tools to get deeper understanding about which parts contribute how much time to the total task, triggered by which other parts and for example how many times are they called. There are two different kind of tools which are necessary: .NET profilers and O/R mapper / RDBMS profilers. .NET profiling .NET profilers (e.g. dotTrace by JetBrains or Ants by Red Gate software) show exactly which pieces of code are called, how many times they're called, and the time it took to run that piece of code, at the method level and sometimes even at the line level. The .NET profilers are essential tools for understanding whether the time taken to complete a given task / area in your application is consumed by .NET code, where exactly in your code, the path to that code, how many times that code was called by other code and thus reveals where hotspots are located: the areas where a solution can be found. Importantly, they also reveal which areas can be left alone: remember our penny wise pound foolish saying: if a profiler reveals that a group of methods are fast, or don't contribute much to the total time taken for a given task, ignore them. Even if the code in them is perhaps complex and looks like a candidate for optimization: you can work all day on that, it won't matter.  As we're focusing on a single area of the application, it's best to start profiling right before you actually activate the task/area. Most .NET profilers support this by starting the application without starting the profiling procedure just yet. You navigate to the particular part which is slow, start profiling in the profiler, in your application you perform the actions which are considered slow, and afterwards you get a snapshot in the profiler. The snapshot contains the data collected by the profiler during the slow action, so most data is produced by code in the area to investigate. This is important, because it allows you to stay focused on a single area. O/R mapper and RDBMS profiling .NET profilers give you a good insight in the .NET side of things, but not in the RDBMS side of the application. As this article is about O/R mapper powered applications, we're also looking at databases, and the software making it possible to consume the database in your application: the O/R mapper. To understand which parts of the O/R mapper and database participate how much to the total time taken for task T, we need different tools. There are two kind of tools focusing on O/R mappers and database performance profiling: O/R mapper profilers and RDBMS profilers. For O/R mapper profilers, you can look at LLBLGen Prof by hibernating rhinos or the Linq to Sql/LLBLGen Pro profiler by Huagati. Hibernating rhinos also have profilers for other O/R mappers like NHibernate (NHProf) and Entity Framework (EFProf) and work the same as LLBLGen Prof. For RDBMS profilers, you have to look whether the RDBMS vendor has a profiler. For example for SQL Server, the profiler is shipped with SQL Server, for Oracle it's build into the RDBMS, however there are also 3rd party tools. Which tool you're using isn't really important, what's important is that you get insight in which queries are executed during the task / area we're currently focused on and how long they took. Here, the O/R mapper profilers have an advantage as they collect the time it took to execute the query from the application's perspective so they also collect the time it took to transport data across the network. This is important because a query which returns a massive resultset or a resultset with large blob/clob/ntext/image fields takes more time to get transported across the network than a small resultset and a database profiler doesn't take this into account most of the time. Another tool to use in this case, which is more low level and not all O/R mappers support it (though LLBLGen Pro and NHibernate as well do) is tracing: most O/R mappers offer some form of tracing or logging system which you can use to collect the SQL generated and executed and often also other activity behind the scenes. While tracing can produce a tremendous amount of data in some cases, it also gives insight in what's going on. Interpret After we've completed the analysis step it's time to look at the data we've collected. We've done code reviews to see whether we've done anything stupid and which parts actually take place and if the proper algorithms have been implemented. We've done .NET profiling to see which parts are choke points and how much time they contribute to the total time taken to complete the task we're investigating. We've performed O/R mapper profiling and RDBMS profiling to see which queries were executed during the task, how many queries were generated and executed and how long they took to complete, including network transportation. All this data reveals two things: which parts are big contributors to the total time taken and which parts are irrelevant. Both aspects are very important. The parts which are irrelevant (i.e. don't contribute significantly to the total time taken) can be ignored from now on, we won't look at them. The parts which contribute a lot to the total time taken are important to look at. We now have to first look at the .NET profiler results, to see whether the time taken is consumed in our own code, in .NET framework code, in the O/R mapper itself or somewhere else. For example if most of the time is consumed by DbCommand.ExecuteReader, the time it took to complete the task is depending on the time the data is fetched from the database. If there was just 1 query executed, according to tracing or O/R mapper profilers / RDBMS profilers, check whether that query is optimal, uses indexes or has to deal with a lot of data. Interpret means that you follow the path from begin to end through the data collected and determine where, along the path, the most time is contributed. It also means that you have to check whether this was expected or is totally unexpected. My previous example of the 10 row resultset of a query which groups millions of rows will likely reveal that a long time is spend inside the database and almost no time is spend in the .NET code, meaning the RDBMS part contributes the most to the total time taken, the rest is compared to that time, irrelevant. Considering the vastness of the source data set, it's expected this will take some time. However, does it need tweaking? Perhaps all possible tweaks are already in place. In the interpret step you then have to decide that further action in this area is necessary or not, based on what the analysis results show: if the analysis results were unexpected and in the area where the most time is contributed to the total time taken is room for improvement, action should be taken. If not, you can only accept the situation and move on. In all cases, document your decision together with the analysis you've done. If you decide that the perceived performance problem is actually expected due to the nature of the task performed, it's essential that in the future when someone else looks at the application and starts asking questions you can answer them properly and new analysis is only necessary if situations changed. Fix After interpreting the analysis results you've concluded that some areas need adjustment. This is the fix step: you're actively correcting the performance problem with proper action targeted at the real cause. In many cases related to O/R mapper powered applications it means you'll use different features of the O/R mapper to achieve the same goal, or apply optimizations at the RDBMS level. It could also mean you apply caching inside your application (compromise memory consumption over performance) to avoid unnecessary re-querying data and re-consuming the results. After applying a change, it's key you re-do the analysis and interpretation steps: compare the results and expectations with what you had before, to see whether your actions had any effect or whether it moved the problem to a different part of the application. Don't fall into the trap to do partly analysis: do the full analysis again: .NET profiling and O/R mapper / RDBMS profiling. It might very well be that the changes you've made make one part faster but another part significantly slower, in such a way that the overall problem hasn't changed at all. Performance tuning is dealing with compromises and making choices: to use one feature over the other, to accept a higher memory footprint, to go away from the strict-OO path and execute queries directly onto the RDBMS, these are choices and compromises which will cross your path if you want to fix performance problems with respect to O/R mappers or data-access and databases in general. In most cases it's not a big issue: alternatives are often good choices too and the compromises aren't that hard to deal with. What is important is that you document why you made a choice, a compromise: which analysis data, which interpretation led you to the choice made. This is key for good maintainability in the years to come. Most common performance problems with O/R mappers Below is an incomplete list of common performance problems related to data-access / O/R mappers / RDBMS code. It will help you with fixing the hotspots you found in the interpretation step. SELECT N+1: (Lazy-loading specific). Lazy loading triggered performance bottlenecks. Consider a list of Orders bound to a grid. You have a Field mapped onto a related field in Order, Customer.CompanyName. Showing this column in the grid will make the grid fetch (indirectly) for each row the Customer row. This means you'll get for the single list not 1 query (for the orders) but 1+(the number of orders shown) queries. To solve this: use eager loading using a prefetch path to fetch the customers with the orders. SELECT N+1 is easy to spot with an O/R mapper profiler or RDBMS profiler: if you see a lot of identical queries executed at once, you have this problem. Prefetch paths using many path nodes or sorting, or limiting. Eager loading problem. Prefetch paths can help with performance, but as 1 query is fetched per node, it can be the number of data fetched in a child node is bigger than you think. Also consider that data in every node is merged on the client within the parent. This is fast, but it also can take some time if you fetch massive amounts of entities. If you keep fetches small, you can use tuning parameters like the ParameterizedPrefetchPathThreshold setting to get more optimal queries. Deep inheritance hierarchies of type Target Per Entity/Type. If you use inheritance of type Target per Entity / Type (each type in the inheritance hierarchy is mapped onto its own table/view), fetches will join subtype- and supertype tables in many cases, which can lead to a lot of performance problems if the hierarchy has many types. With this problem, keep inheritance to a minimum if possible, or switch to a hierarchy of type Target Per Hierarchy, which means all entities in the inheritance hierarchy are mapped onto the same table/view. Of course this has its own set of drawbacks, but it's a compromise you might want to take. Fetching massive amounts of data by fetching large lists of entities. LLBLGen Pro supports paging (and limiting the # of rows returned), which is often key to process through large sets of data. Use paging on the RDBMS if possible (so a query is executed which returns only the rows in the page requested). When using paging in a web application, be sure that you switch server-side paging on on the datasourcecontrol used. In this case, paging on the grid alone is not enough: this can lead to fetching a lot of data which is then loaded into the grid and paged there. Keep note that analyzing queries for paging could lead to the false assumption that paging doesn't occur, e.g. when the query contains a field of type ntext/image/clob/blob and DISTINCT can't be applied while it should have (e.g. due to a join): the datareader will do DISTINCT filtering on the client. this is a little slower but it does perform paging functionality on the data-reader so it won't fetch all rows even if the query suggests it does. Fetch massive amounts of data because blob/clob/ntext/image fields aren't excluded. LLBLGen Pro supports field exclusion for queries. You can exclude fields (also in prefetch paths) per query to avoid fetching all fields of an entity, e.g. when you don't need them for the logic consuming the resultset. Excluding fields can greatly reduce the amount of time spend on data-transport across the network. Use this optimization if you see that there's a big difference between query execution time on the RDBMS and the time reported by the .NET profiler for the ExecuteReader method call. Doing client-side aggregates/scalar calculations by consuming a lot of data. If possible, try to formulate a scalar query or group by query using the projection system or GetScalar functionality of LLBLGen Pro to do data consumption on the RDBMS server. It's far more efficient to process data on the RDBMS server than to first load it all in memory, then traverse the data in-memory to calculate a value. Using .ToList() constructs inside linq queries. It might be you use .ToList() somewhere in a Linq query which makes the query be run partially in-memory. Example: var q = from c in metaData.Customers.ToList() where c.Country=="Norway" select c; This will actually fetch all customers in-memory and do an in-memory filtering, as the linq query is defined on an IEnumerable<T>, and not on the IQueryable<T>. Linq is nice, but it can often be a bit unclear where some parts of a Linq query might run. Fetching all entities to delete into memory first. To delete a set of entities it's rather inefficient to first fetch them all into memory and then delete them one by one. It's more efficient to execute a DELETE FROM ... WHERE query on the database directly to delete the entities in one go. LLBLGen Pro supports this feature, and so do some other O/R mappers. It's not always possible to do this operation in the context of an O/R mapper however: if an O/R mapper relies on a cache, these kind of operations are likely not supported because they make it impossible to track whether an entity is actually removed from the DB and thus can be removed from the cache. Fetching all entities to update with an expression into memory first. Similar to the previous point: it is more efficient to update a set of entities directly with a single UPDATE query using an expression instead of fetching the entities into memory first and then updating the entities in a loop, and afterwards saving them. It might however be a compromise you don't want to take as it is working around the idea of having an object graph in memory which is manipulated and instead makes the code fully aware there's a RDBMS somewhere. Conclusion Performance tuning is almost always about compromises and making choices. It's also about knowing where to look and how the systems in play behave and should behave. The four steps I provided should help you stay focused on the real problem and lead you towards the solution. Knowing how to optimally use the systems participating in your own code (.NET framework, O/R mapper, RDBMS, network/services) is key for success as well as knowing what's going on inside the application you built. I hope you'll find this guide useful in tracking down performance problems and dealing with them in a useful way.  

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  • SharePoint and COMException (0x80004005): Cannot complete this action

    - by Damon
    I ran into a small issue today working on a deployment.  We were moving a custom ASP.NET control from my development environment into a SharePoint layout page on a staging environment .  I was expecting some minor issues to arise since I had developed the control in an ASP.NET website project, but after getting everything moved over we got an obscure COMException error the that looked like this: Cannot complete this action. Please try again. Description: An unhandled exception occurred during the execution of the current web request. Please review the stack trace for more information about the error and where it originated in the code. Exception Details: System.Runtime.InteropServices.COMException: Cannot complete this action. [COMException (0x80004005): Cannot complete this action. .Lengthy stack trace goes here. Everything in the custom control was built using managed code, so we weren't sure why a COMException would suddenly appear. The control made use of an ITemplate to define its UI, so there was a lot of markup and binding code inside the template. As such, we started taking chunks of the template out of the layout page and eventually the error went away.  It was being caused by a section of code where we were calling a custom utility method inside some binding code: <%# WebUtility.FormatDecimal(.) %> Solution: It turns out that we were missing an Assembly and Import directive at the top of the page to let the page know where to find this method.  After adding these to the page, the error went away and everything worked great.  So a COMException (0x80004005) Cannot complete this action error is just SharePoint's friendly way of letting you know you're missing an assembly or imports reference.

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  • We’re having an exceptionally good party – and you’re invited!

    - by Rebecca Amos
    Are you coming to the PASS Summit? Then join us to help Jeff Moden celebrate his Award of Exceptional DBA of the Year. Join us and SQLServerCentral for the Exceptional DBA Awards party on 11 October. We’ve booked a casino and bar, and will be giving away lots of great prizes throughout the night. It’s always a fun evening, and a fantastic chance to catch up with old friends – and meet new ones – before the conference kicks off. When: Tuesday 11 October, 8-10pm (after the Welcome Reception) Where: Room 2AB, Washington State Convention Center Tickets: $20 in advance ($30 on the door) Have a look at the current list of people coming – and come and join us! Get your ticket now.

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  • Mapping Your Data with Bing Maps and SQL Server 2008 – Part 1

    Jonas Stawski takes you step by step through a sample project that demonstrates how to create an application that can get GeoSpatial coordinate data for addresses within a SQL Server database, and then use that data to locate those addresses on a Bing Map on a website as pushpins, either grouped or ungrouped: And there is full source-code too, in the speech-bubble.

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  • What’s new in SQL Prompt 6.3?

    - by Tom Crossman
    This post describes some of the improvements we’ve made in the latest version of SQL Prompt. Code suggestions In recent months, the focus of the SQL Prompt development team has been to remove annoyances and improve code suggestions. Here’s just a few of the improvements to code suggestions we’ve made in SQL Prompt 6.3: The suggestions box is no longer shown when there are no suggestions Suggestions are now shown if you continue to type a half-completed word More suggestions for new SQL Server 2014 syntax Improvements to partial match suggestions Improved suggestion ordering As well as improving suggestions, we’ve also added some new features. Select in Object Explorer You can now use SQL Prompt to select an object in the Object Explorer from a query window. This is useful because many SSMS features are available from an object’s Object Explorer context menu (eg select top 1000 rows, design, script as). To select an object in the Object Explorer, place the cursor over the object you want to select and press Ctrl + F12: Here’s a short video of the feature in action. $SELECTIONSTART$ and $SELECTIONEND$ placeholders You can now use $SELECTIONSTART$ and $SELECTIONEND$ placeholders in your snippet code. The code between these placeholders is selected when you insert the snippet. For example, the following snippet: $SELECTIONSTART$SELECT TOP 100 * FROM Table1$SELECTIONEND$ is inserted as: You can then press F5 to run the selected snippet code. For the full list of snippet placeholders you can use, see the documentation. Highlighting matching parentheses If your cursor is next to an opening or closing parenthesis in a query, SQL Prompt now automatically highlights the matching parenthesis: You can then use the SSMS and Visual Studio shortcut Ctrl + ] to move between parentheses. More improvements Those are just a few of the improvements in SQL Prompt 6.3. For the full list of features and bug fixes, see the release notes.

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  • Databases in Source Control

    - by Grant Fritchey
    I’ve been working as a database professional for quite a long time. But originally, I was a developer. And I loved being a developer. There was this constant feedback loop of a job well done, your code compiled and it ran. Every time this happened successfully, you’d check it into source control. These days you have to add another step; the code passed all the tests, unit, line, regression, qa, whatever, then into source control it goes. As a matter of fact, when I first made the jump from developer to DBA/database developer/database professional, source control was the one thing I couldn’t believe was missing from the DBA toolbox. Come to find out, source control was only the beginning of what was missing from your standard DBAs set of skills. Don’t get me wrong. I’m not disrespecting the DBA. They’re focused where they should be, on your production data. But there has to be a method for developing applications that include databases and the database side of that development and deployment process has long been lacking. This lack of development and deployment methodologies is a part of what has given rise to some of the wackier implementations of Object Relational Mapping tools, the NoSQL movement, and some of the other foul cursing that is directed towards databases, DBAs, and database development by application developers. Some of that is well earned. A lot isn’t. But it is a fact that database professionals, in general, do not have as sophisticated a model for managing development and deployment as application developers do. We could charge out and start trying to come up with our own standards and methods. I’m sure people have done exactly that. However, I’m lazy, and not terribly bright. Rather than try to invent a whole new process, I’m going to look to my developer roots and choose instead to emulate the developers. They’re sitting over there across the hall from me working with SCRUM/Agile/Waterfall/Object Driven/Feature Driven/Test Driven development processes that they’ve been polishing for years. What if I just started working on database development the same way they work on code development? Win! Ah, but now I have to have a mechanism for treating my database like application code. First, I need a method for getting it into source control. That’s where Red Gate’s SQL Source Control comes into the picture. SQL Source Control works within SQL Server Management Studio to connect your database objects up to the source control system of your choice. Right out of the box SQL Source Control can link to TFS, SVN or Vault. With a little work you can connect it to Git or just about any other source control system. With the ability to get my database into source control, a lot of possibilities for more direct integration with the application development teams open up.

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  • Red Gate Coder interviews: Robin Hellen

    - by Michael Williamson
    Robin Hellen is a test engineer here at Red Gate, and is also the latest coder I’ve interviewed. We chatted about debugging code, the roles of software engineers and testers, and why Vala is currently his favourite programming language. How did you get started with programming?It started when I was about six. My dad’s a professional programmer, and he gave me and my sister one of his old computers and taught us a bit about programming. It was an old Amiga 500 with a variant of BASIC. I don’t think I ever successfully completed anything! It was just faffing around. I didn’t really get anywhere with it.But then presumably you did get somewhere with it at some point.At some point. The PC emerged as the dominant platform, and I learnt a bit of Visual Basic. I didn’t really do much, just a couple of quick hacky things. A bit of demo animation. Took me a long time to get anywhere with programming, really.When did you feel like you did start to get somewhere?I think it was when I started doing things for someone else, which was my sister’s final year of university project. She called up my dad two days before she was due to submit, saying “We need something to display a graph!”. Dad says, “I’m too busy, go talk to your brother”. So I hacked up this ugly piece of code, sent it off and they won a prize for that project. Apparently, the graph, the bit that I wrote, was the reason they won a prize! That was when I first felt that I’d actually done something that was worthwhile. That was my first real bit of code, and the ugliest code I’ve ever written. It’s basically an array of pre-drawn line elements that I shifted round the screen to draw a very spikey graph.When did you decide that programming might actually be something that you wanted to do as a career?It’s not really a decision I took, I always wanted to do something with computers. And I had to take a gap year for uni, so I was looking for twelve month internships. I applied to Red Gate, and they gave me a job as a tester. And that’s where I really started having to write code well. To a better standard that I had been up to that point.How did you find coming to Red Gate and working with other coders?I thought it was really nice. I learnt so much just from other people around. I think one of the things that’s really great is that people are just willing to help you learn. Instead of “Don’t you know that, you’re so stupid”, it’s “You can just do it this way”.If you could go back to the very start of that internship, is there something that you would tell yourself?Write shorter code. I have a tendency to write massive, many-thousand line files that I break out of right at the end. And then half-way through a project I’m doing something, I think “Where did I write that bit that does that thing?”, and it’s almost impossible to find. I wrote some horrendous code when I started. Just that principle, just keep things short. Even if looks a bit crazy to be jumping around all over the place all of the time, it’s actually a lot more understandable.And how do you hold yourself to that?Generally, if a function’s going off my screen, it’s probably too long. That’s what I tell myself, and within the team here we have code reviews, so the guys I’m with at the moment are pretty good at pulling me up on, “Doesn’t that look like it’s getting a bit long?”. It’s more just the subjective standard of readability than anything.So you’re an advocate of code review?Yes, definitely. Both to spot errors that you might have made, and to improve your knowledge. The person you’re reviewing will say “Oh, you could have done it that way”. That’s how we learn, by talking to others, and also just sharing knowledge of how your project works around the team, or even outside the team. Definitely a very firm advocate of code reviews.Do you think there’s more we could do with them?I don’t know. We’re struggling with how to add them as part of the process without it becoming too cumbersome. We’ve experimented with a few different ways, and we’ve not found anything that just works.To get more into the nitty gritty: how do you like to debug code?The first thing is to do it in my head. I’ll actually think what piece of code is likely to have caused that error, and take a quick look at it, just to see if there’s anything glaringly obvious there. The next thing I’ll probably do is throw in print statements, or throw some exceptions from various points, just to check: is it going through the code path I expect it to? A last resort is to actually debug code using a debugger.Why is the debugger the last resort?Probably because of the environments I learnt programming in. VB and early BASIC didn’t have much of a debugger, the only way to find out what your program was doing was to add print statements. Also, because a lot of the stuff I tend to work with is non-interactive, if it’s something that takes a long time to run, I can throw in the print statements, set a run off, go and do something else, and look at it again later, rather than trying to remember what happened at that point when I was debugging through it. So it also gives me the record of what happens. I hate just sitting there pressing F5, F5, continually. If you’re having to find out what your code is doing at each line, you’ve probably got a very wrong mental model of what your code’s doing, and you can find that out just as easily by inspecting a couple of values through the print statements.If I were on some codebase that you were also working on, what should I do to make it as easy as possible to understand?I’d say short and well-named methods. The one thing I like to do when I’m looking at code is to find out where a value comes from, and the more layers of indirection there are, particularly DI [dependency injection] frameworks, the harder it is to find out where something’s come from. I really hate that. I want to know if the value come from the user here or is a constant here, and if I can’t find that out, that makes code very hard to understand for me.As a tester, where do you think the split should lie between software engineers and testers?I think the split is less on areas of the code you write and more what you’re designing and creating. The developers put a structure on the code, while my major role is to say which tests we should have, whether we should test that, or it’s not worth testing that because it’s a tiny function in code that nobody’s ever actually going to see. So it’s not a split in the code, it’s a split in what you’re thinking about. Saying what code we should write, but alternatively what code we should take out.In your experience, do the software engineers tend to do much testing themselves?They tend to control the lowest layer of tests. And, depending on how the balance of people is in the team, they might write some of the higher levels of test. Or that might go to the testers. I’m the only tester on my team with three other developers, so they’ll be writing quite a lot of the actual test code, with input from me as to whether we should test that functionality, whereas on other teams, where it’s been more equal numbers, the testers have written pretty much all of the high level tests, just because that’s the best use of resource.If you could shuffle resources around however you liked, do you think that the developers should be writing those high-level tests?I think they should be writing them occasionally. It helps when they have an understanding of how testing code works and possibly what assumptions we’ve made in tests, and they can say “actually, it doesn’t work like that under the hood so you’ve missed this whole area”. It’s one of those agile things that everyone on the team should be at least comfortable doing the various jobs. So if the developers can write test code then I think that’s a very good thing.So you think testers should be able to write production code?Yes, although given most testers skills at coding, I wouldn’t advise it too much! I have written a few things, and I did make a few changes that have actually gone into our production code base. They’re not necessarily running every time but they are there. I think having that mix of skill sets is really useful. In some ways we’re using our own product to test itself, so being able to make those changes where it’s not working saves me a round-trip through the developers. It can be really annoying if the developers have no time to make a change, and I can’t touch the code.If the software engineers are consistently writing tests at all levels, what role do you think the role of a tester is?I think on a team like that, those distinctions aren’t quite so useful. There’ll be two cases. There’s either the case where the developers think they’ve written good tests, but you still need someone with a test engineer mind-set to go through the tests and validate that it’s a useful set, or the correct set for that code. Or they won’t actually be pure developers, they’ll have that mix of test ability in there.I think having slightly more distinct roles is useful. When it starts to blur, then you lose that view of the tests as a whole. The tester job is not to create tests, it’s to validate the quality of the product, and you don’t do that just by writing tests. There’s more things you’ve got to keep in your mind. And I think when you blur the roles, you start to lose that end of the tester.So because you’re working on those features, you lose that holistic view of the whole system?Yeah, and anyone who’s worked on the feature shouldn’t be testing it. You always need to have it tested it by someone who didn’t write it. Otherwise you’re a bit too close and you assume “yes, people will only use it that way”, but the tester will come along and go “how do people use this? How would our most idiotic user use this?”. I might not test that because it might be completely irrelevant. But it’s coming in and trying to have a different set of assumptions.Are you a believer that it should all be automated if possible?Not entirely. So an automated test is always better than a manual test for the long-term, but there’s still nothing that beats a human sitting in front of the application and thinking “What could I do at this point?”. The automated test is very good but they follow that strict path, and they never check anything off the path. The human tester will look at things that they weren’t expecting, whereas the automated test can only ever go “Is that value correct?” in many respects, and it won’t notice that on the other side of the screen you’re showing something completely wrong. And that value might have been checked independently, but you always find a few odd interactions when you’re going through something manually, and you always need to go through something manually to start with anyway, otherwise you won’t know where the important bits to write your automation are.When you’re doing that manual testing, do you think it’s important to do that across the entire product, or just the bits that you’ve touched recently?I think it’s important to do it mostly on the bits you’ve touched, but you can’t ignore the rest of the product. Unless you’re dealing with a very, very self-contained bit, you’re almost always encounter other bits of the product along the way. Most testers I know, even if they are looking at just one path, they’ll keep open and move around a bit anyway, just because they want to find something that’s broken. If we find that your path is right, we’ll go out and hunt something else.How do you think this fits into the idea of continuously deploying, so long as the tests pass?With deploying a website it’s a bit different because you can always pull it back. If you’re deploying an application to customers, when you’ve released it, it’s out there, you can’t pull it back. Someone’s going to keep it, no matter how hard you try there will be a few installations that stay around. So I’d always have at least a human element on that path. With websites, you could probably automate straight out, or at least straight out to an internal environment or a single server in a cloud of fifty that will serve some people. But I don’t think you should release to everyone just on automated tests passing.You’ve already mentioned using BASIC and C# — are there any other languages that you’ve used?I’ve used a few. That’s something that has changed more recently, I’ve become familiar with more languages. Before I started at Red Gate I learnt a bit of C. Then last year, I taught myself Python which I actually really enjoyed using. I’ve also come across another language called Vala, which is sort of a C#-like language. It’s basically a pre-processor for C, but it has very nice syntax. I think that’s currently my favourite language.Any particular reason for trying Vala?I have a completely Linux environment at home, and I’ve been looking for a nice language, and C# just doesn’t cut it because I won’t touch Mono. So, I was looking for something like C# but that was useable in an open source environment, and Vala’s what I found. C#’s got a few features that Vala doesn’t, and Vala’s got a few features where I think “It would be awesome if C# had that”.What are some of the features that it’s missing?Extension methods. And I think that’s the only one that really bugs me. I like to use them when I’m writing C# because it makes some things really easy, especially with libraries that you can’t touch the internals of. It doesn’t have method overloading, which is sometimes annoying.Where it does win over C#?Everything is non-nullable by default, you never have to check that something’s unexpectedly null.Also, Vala has code contracts. This is starting to come in C# 4, but the way it works in Vala is that you specify requirements in short phrases as part of your function signature and they stick to the signature, so that when you inherit it, it has exactly the same code contract as the base one, or when you inherit from an interface, you have to match the signature exactly. Just using those makes you think a bit more about how you’re writing your method, it’s not an afterthought when you’ve got contracts from base classes given to you, you can’t change it. Which I think is a lot nicer than the way C# handles it. When are those actually checked?They’re checked both at compile and run-time. The compile-time checking isn’t very strong yet, it’s quite a new feature in the compiler, and because it compiles down to C, you can write C code and interface with your methods, so you can bypass that compile-time check anyway. So there’s an extra runtime check, and if you violate one of the contracts at runtime, it’s game over for your program, there’s no exception to catch, it’s just goodbye!One thing I dislike about C# is the exceptions. You write a bit of code and fifty exceptions could come from any point in your ten lines, and you can’t mentally model how those exceptions are going to come out, and you can’t even predict them based on the functions you’re calling, because if you’ve accidentally got a derived class there instead of a base class, that can throw a completely different set of exceptions. So I’ve got no way of mentally modelling those, whereas in Vala they’re checked like Java, so you know only these exceptions can come out. You know in advance the error conditions.I think Raymond Chen on Old New Thing says “the only thing you know when you throw an exception is that you’re in an invalid state somewhere in your program, so just kill it and be done with it!”You said you’ve also learnt bits of Python. How did you find that compared to Vala and C#?Very different because of the dynamic typing. I’ve been writing a website for my own use. I’m quite into photography, so I take photos off my camera, post-process them, dump them in a file, and I get a webpage with all my thumbnails. So sort of like Picassa, but written by myself because I wanted something to learn Python with. There are some things that are really nice, I just found it really difficult to cope with the fact that I’m not quite sure what this object type that I’m passed is, I might not ever be sure, so it can randomly blow up on me. But once I train myself to ignore that and just say “well, I’m fairly sure it’s going to be something that looks like this, so I’ll use it like this”, then it’s quite nice.Any particular features that you’ve appreciated?I don’t like any particular feature, it’s just very straightforward to work with. It’s very quick to write something in, particularly as you don’t have to worry that you’ve changed something that affects a different part of the program. If you have, then that part blows up, but I can get this part working right now.If you were doing a big project, would you be willing to do it in Python rather than C# or Vala?I think I might be willing to try something bigger or long term with Python. We’re currently doing an ASP.NET MVC project on C#, and I don’t like the amount of reflection. There’s a lot of magic that pulls values out, and it’s all done under the scenes. It’s almost managed to put a dynamic type system on top of C#, which in many ways destroys the language to me, whereas if you’re already in a dynamic language, having things done dynamically is much more natural. In many ways, you get the worst of both worlds. I think for web projects, I would go with Python again, whereas for anything desktop, command-line or GUI-based, I’d probably go for C# or Vala, depending on what environment I’m in.It’s the fact that you can gain from the strong typing in ways that you can’t so much on the web app. Or, in a web app, you have to use dynamic typing at some point, or you have to write a hell of a lot of boilerplate, and I’d rather use the dynamic typing than write the boilerplate.What do you think separates great programmers from everyone else?Probably design choices. Choosing to write it a piece of code one way or another. For any given program you ask me to write, I could probably do it five thousand ways. A programmer who is capable will see four or five of them, and choose one of the better ones. The excellent programmer will see the largest proportion and manage to pick the best one very quickly without having to think too much about it. I think that’s probably what separates, is the speed at which they can see what’s the best path to write the program in. More Red Gater Coder interviews

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  • Fixing NativeHR 0×80070002 Error When Retracting or Deploying SharePoint Apps from Visual Studio

    - by Damon Armstrong
    Sometimes when App deployment fails from Visual Studio you will get the following error when trying to retract or redeploy the app: <nativehr>0×80070002</nativehr><nativestack></nativestack> There seems to be some issue with the information in the content database.  To fix the problem I just deleted all of the information from the App tables in the content database.  We only have one app in testing at a time so this worked fine for me.  Doing this in a production environment or if you have multiple apps installed is not recommended, so if you are in either of those scenarios you will probably have to dig into those tables to find the offending entries.  You may also have to remove some of the App principal entries from the App Service Application database as well (I’ll try to update this post if we find that to be true).   I’m going to post the SQL to do the full deletion, but be careful when running this: DO NOT RUN THIS IN A PRODUCTION ENVIRONMENT: DELETE FROM [dbo].[AppDatabaseMetadata] DELETE FROM [dbo].[AppInstallationProperty] DELETE FROM [dbo].[AppInstallations] DELETE FROM [dbo].[AppJobs] DELETE FROM [dbo].[AppLifecycleErrors] DELETE FROM [dbo].[AppPackages] DELETE FROM [dbo].[AppPrincipalPerms] DELETE FROM [dbo].[AppPrincipals] DELETE FROM [dbo].[AppResources] DELETE FROM [dbo].[AppRuntimeIcons] DELETE FROM [dbo].[AppRuntimeMetadata] DELETE FROM [dbo].[AppRuntimeSubstitutionDictionary] DELETE FROM [dbo].[AppSourceInfo] DELETE FROM [dbo].[AppSubscriptionCosts] DELETE FROM [dbo].[AppTaskDependencies]

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  • Free SQL Server training? Now you’re talking.

    - by Fatherjack
    SQL Server user groups are everywhere, literally all over the globe there are SQL Server professionals meeting on a regular basis, sharing ideas, solving problems, learning about how to do new stuff and new ways to do old stuff and it’s all for free. I don’t have detailed figures but of all the SQL Server professionals there are only a small number of them attend these user groups. Those people are the people that are taking the time and making then effort to make themselves better at their chosen trade, more employable and having a good time. For free. I don’t know why but there are many people that don’t seem to want to be the best they can be. Some of you enlightened people that do already attend could be doing more though. Have you ever spoken at  your group? Not just in the break while you have a mouthful of pizza and a drink in your hand but had the attention of the whole group listen to you speak. It doesn’t need to be a full hour, it doesn’t need to be some obscure deeply technical demonstration of SQL Server internals, just a few minutes on something that you do that might help other people with their daily work. A neat process that helps you get from Problem A to Solution B. There is no need to get concerned that becoming a speaker means that you suddenly have to know more than anyone else in the room. This is you talking about something that you experienced. What you did, what you would repeat, what you might do differently next time. No one in the audience can pick you up on a technicality. If someone comes out with a great idea that you hadn’t thought of, say “That’s a great idea, I didn’t think of that while we had the problem on our hands. I’ll try to remember that for next time”. If someone is looking to show you up for picking the wrong decision (and this, in my experience, is very uncommon indeed) then you simply give a reply like “Well, at the time we chose that option. Perhaps another time then we would tackle things differently but we were happy with how our solution worked”. It’s sharing things like this that makes user groups have a real value, talking about how you coped with or averted a disaster, a handy little section of code or using a tool in a particular way that you take for granted that might, just might, be something that other people haven’t thought of that solves a problem or saves some time for them. At the next meeting you might get the same benefit from a different person and so it goes on. As individuals benefits so the community benefits. For free. Things I encourage you to do; If you are a chapter or user group leader; encourage someone from your group who has never spoken before to start speaking. If you are a chapter or user group attendee that hasn’t spoken before; speak for at least 5 minutes on something related to SQL Server at any group meeting. If you don’t currently attend a user group; please go along to you nearest one when they are meeting next and invest in yourself and your future. UK user group details are here: http://sqlsouthwest.co.uk/national_ug.htm , PASS chapters outside the UK are found via http://www.sqlpass.org/PASSChapters/LocalChapters.aspx. If you are unsure of how you might achieve any of these things then get in touch with me*, I’ll give you specific advice on getting started on any of the above points and help you prove to yourself what you are capable of. SQL Community – be part of it and make it better. Let me know how you get on in the comments.

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  • Agile Testing Days 2012 – Day 1 – The birth of the #unicorn…

    - by Chris George
    Still riding the high from the tutorial day, I arrived at the conference venue eager to get cracking with the days talks. The opening Keynote was “Disciplined Agile Delivery: The Foundation for Scaling Agile” presented by Scott Ambler. The general ideas behind the methodology such as not re-inventing the wheel, and being goal driven, not prescriptive in how you work certainly struck chords with how we are trying to work in my team. Scott made some interesting observations about how scrum is quite prescriptive and is this really agile? I agreed with quite a few of his points on how what works for one team may not work for another. How a team works should be driven by context and reflection, not process and prescription. However was somewhat dubious about some of the statistics he rolled out towards the end. However, out of this keynote was born something that was to transcend this one presentation. During the talk, Scott mentioned on more than one occasion “In the real world”, and at one point made reference to people living in the land of unicorns and rainbows. The challenge was then laid down on twitter for all speakers to include a unicorn in their presentations… and for the most part this happened! It became an identity for this years conference, and I’m sure something that any attendee will always associate with Agile Testing Days 2012! Following this keynote, I attended “Going agile with Automated GUI Testing – Some personal insights” by Jan Zdunek from codecentric on the vendor track. My speciality is test automation, and in particular GUI testing, so this drew me to this talk more than the others. Thankfully, it was made clear from the very start that this was not peddling any particular product (even though it was on the vendor track), and Jan faithfully stuck to that. Most of the content was not new to me, but it was really comforting to hear someone else with very similar experiences to my own. In particular, things like how GUI testing is hard and is not a silver bullet; how record & replay is NOT a good thing to do (which drew a somewhat inflammatory tweet from an automation company when I tweeted that!). Something that I have started hearing around the place, and has certainly been murmuring at work is to push more of the automation coding onto the developers. After all they are the coding experts. I agree with this to a degree, but I personally enjoy coding and find it very rewarding doing so, therefore I’d be reluctant to give it up. I think there are some better alternatives such as pairing with a developer. Lastly, Jan mentioned, almost in passing, that we should consider virtualisation for gui testing for covering configuration combinations. On my project we’ve been running our win32/.NET GUI tests in cloud virtualisation for a couple of years now… I really should write about that! After lunch the second keynote of the day was by Lisa Crispin and Janet Gregory,”Myths about Agile Testing, De-Bunked”. It started off well… with the two ladies donning Medusa style head bands whilst they disbanding several myths about agile testing! I got the impression that it was perhaps not as slick as they would have liked, but then Janet was suffering with a very sore throat so kept losing her voice. Nevertheless, the presentation was captivating, and they debunked several myths such as : “Testing is dead”, “Testers must write code”, “Agile teams always deliver faster”. I didn’t take many notes for this because it was being recorded, but unfortunately the recordings have not been posted yet so I’ll write more about this when they are. The TestLab was held during a somewhat free for all time during most of the afternoon. It looked intriguing and proved to be one of the surprising experiences of the conference for me. Run by James Lyndsay and Bart Knaack, it consisted of a number of ‘stations’ that offered different testing problems. I opted for testing a mathematical drawing app call Geogebra, the task being to pair up and exploratory test it. After an allotted time, we discussed issues we’d found and decided if we wanted to continue ‘playing’ to which we all agreed! It was fun! The last track talk of the day was “Developers Exploratory Testing – Raising the bar” by Sigge Birgisson. One of the teams at Red Gate have tried Dev or Team exploratory testing a couple of times, and I was really interested to go to the presentation that prompted that. I was not disappointed! Sigge gave a first class presentation, and not only explained what DET was all about, but also how to go about implementing it. Little tips like calling it a ‘workshop’ rather than ‘testing’ I can really see working! Monday evening saw the presentation of the award for the Most Influential Agile Testing Professional Person go to a much deserved Lisa Crispin. The evening was great, with acrobatics, magic and music. My Takeaway Triple from Day 1:  Some of the cool stuff that was suggested in the GUI Testing talk, we are already doing. I should write about that! Testing is not dead! Perhaps testing will become more of a skill than a specific role, but it is certainly not dead. Team/Developer exploratory testing… seems like a no-brainer assuming you have a team who is willing.  Day 2 – Coming soon…

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  • Lightning talk: Coderetreat

    - by Michael Williamson
    In the spirit of trying to encourage more deliberate practice amongst coders in Red Gate, Lauri Pesonen had the idea of running a coderetreat in Red Gate. Lauri and I ran the first one a few weeks ago: given that neither of us hadn’t even been to a coderetreat before, let alone run one, I think it turned out quite well. The participants gave positive feedback, saying that they enjoyed the day, wrote some thought-provoking code and would do it again. Sam Blackburn was one of the attendees, and gave a lightning talk to the other developers in one of our regular lightning talk sessions: In case you can’t watch the video, I’ve transcribed the talk below, although I’d recommend watching the video if you can — I didn’t have much time to do the transcribing! So, what is a coderetreat? So it’s not just something in Red Gate, there’s a website and everything, although it’s not a very big website. It calls itself a community network. The basic ideas behind coderetreat are: you’ve got one day, and you split it into one hour sections. You spend three quarters of that coding, and do a little retrospective at the end. You’re supposed to start fresh each, we were told to delete our code after every session. We were in pairs, swapping after each session, and we did the same task every time. In fact, Conway’s Game of Life is the only task mentioned anywhere that I find for coderetreat. So I don’t know what we’ll do next time, or if we’re meant to do the same thing again. There are some guiding principles which felt to us like restrictions, that you have to code in crazy ways to encourage better code. Final thing is that it’s supposed to be free for outsiders to join. It’s meant to be a kind of networking thing, where you link up with people from other companies. We had a pilot day with Michael and Lauri. Since it was basically the first time any of us had done anything like this, everybody was from Red Gate. We didn’t chat to anybody else for the initial one. The task was Conway’s Game of Life, which most of you have probably heard of it, all but one of us knew about it when did the coderetreat. I won’t got into the details of what it is, but it felt like the right size of task, basically one or two groups actually produced something working by the end of the day, and of course that doesn’t mean it’s necessarily a day’s work to produce that because we were starting again every hour. The task really drives you more than trying to create good code, I found. It was really tempting to try and get it working rather than stick to the rules. But it’s really good to stop and try again because there are so many what-ifs when you’ve finished writing something, “what if I’d done it this way?”. You can answer all those questions at a coderetreat because it’s not about getting a product out the door, it’s about learning and playing with ideas. So we had all these different practices we were trying. I’ll try and go through most of these. Single responsibility is this idea that everything should do just one thing. It was the very first session, we were still trying to figure out how do you go about the Game of Life? So by the end of forty-five minutes hadn’t produced very much for that first session. We were still thinking, “Do we start with a board, how do we represent all these squares? It can be infinitely big, help, this is getting really difficult!”. So, most of us didn’t really get anywhere on the first one. Although it was interesting that some people started with the board, one group started with the FateDecider class that decides whether things live or die. A sort of god class, but in a good way. They managed to implement all of the rules without even defining how the squares were arranged or anything like that. Another thing we tried was TDD (test-driven development). I’m sure most of you know what TDD is: Watch a test, watch it fail for the right reason Write code to pass the test, watch it pass Refactor, check the test still passes Repeat! It basically worked, we were able to produce code, but we often found the tests defined the direction that code went, which is obviously the idea of TDD. But you tend to find that by the time you’ve even written your first assertion, which is supposed to be the very first thing you write, because you write your tests backwards from the assertions back to the initial conditions, you’ve already constrained the logic of the code in some way by the time you’ve done that. You then get to this situation of, “Well, we actually want to go in a slightly different direction. Can we do this?”. Can we write tests that don’t constrain the architecture? Wrapping up all primitives: it’s kind of turtles all the way down. We had a Size, which has a Width and Height, which both derive from Dimension. You’ve got pages of code before you’ve even done anything. No getters and setters (use tell don’t ask instead): mocks and stubs for tests are required if you want to assert that your results are what you think they should be. You can’t just check the internal state of the code. And people found that really challenging and it made them think in a different way which I think is really good. Not having mutable state: that was kind of confusing because we weren’t quite sure what fitted within that rule and what didn’t, and I think we were trying too hard to follow the rule rather than the guideline. No if-statements: supposed to use polymorphism instead, but polymorphism still requires a factory with conditional behaviour. We did something really crazy to get around this: public T If(bool condition, Func<T> left, Func<T> right) { var dict = new Dictionary<bool, Func<T>> {{true, left}, {false, right}}; return dict[condition].Invoke(); } That is not really polymorphism, is it? For-loops: you can always replace a for-loop with recursion, but it doesn’t tend to make it any more readable unless it’s the kind of task that really lends itself to that. So it was interesting, it was good practice, but it wouldn’t make it easier it’s the kind of tree-structure algorithm where that would help. Having a limit on the number of levels of indentation: again, I think it does produce very nice, clean code, but it wasn’t actually a challenge because you just extract methods. That’s quite a useful thing because you can apply that to real code and say, “Okay, should this method really be going crazy like this?” No talking: we hated that. It’s like there’s two of you at a computer, and one of you is doing the typing, what does the other guy do if they’re not allowed to talk. The answer is TDD ping-pong – one person writes the tests, and then the other person writes the code to pass the test. And that creates communication without actually having to have discussion about things which is kind of cool. No code comments: just makes no difference to anything. It’s a forty-five minute exercise, so what are you going to put comments in code for? Finally, this is my fault. I discovered an entertaining way of doing the calculation that was kind of cool (using convolutions over the state of the board). Unfortunately, it turns out to be really hard to implement in C#, so didn’t even manage to work out how to do that convolution in C#. It’s trivial in some high-level languages, but you need something matrix-orientated for it to really work. That’s most of it, really. The thoughts that people went away with: we put down our answers to questions like “What have you learnt?” and “What surprised you?”, “How are you going to do things differently?”, and most people said redoing the problem is really, really good for understanding it properly. People hate having a massive legacy codebase that they can’t change, so being able to attack something three different ways in an environment where the end-product isn’t important: that’s something people really enjoyed. Pair-programming: also people said that they wanted to do more of that, especially with TDD ping-pong, where you write the test and somebody else writes the code. Various people thought different things about immutables, but most people thought they were good, they promote functional programming. And TDD people found really hard. “Tell, don’t ask” people found really, really hard and really, really, really hard to do well. And the recursion just made things trickier to debug. But most people agreed that coderetreats are really cool, and we should do more of them.

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  • Big Data: Size isn’t everything

    - by Simon Elliston Ball
    Big Data has a big problem; it’s the word “Big”. These days, a quick Google search will uncover terabytes of negative opinion about the futility of relying on huge volumes of data to produce magical, meaningful insight. There are also many clichéd but correct assertions about the difficulties of correlation versus causation, in massive data sets. In reading some of these pieces, I begin to understand how climatologists must feel when people complain ironically about “global warming” during snowfall. Big Data has a name problem. There is a lot more to it than size. Shape, Speed, and…err…Veracity are also key elements (now I understand why Gartner and the gang went with V’s instead of S’s). The need to handle data of different shapes (Variety) is not new. Data developers have always had to mold strange-shaped data into our reporting systems, integrating with semi-structured sources, and even straying into full-text searching. However, what we lacked was an easy way to add semi-structured and unstructured data to our arsenal. New “Big Data” tools such as MongoDB, and other NoSQL (Not Only SQL) databases, or a graph database like Neo4J, fill this gap. Still, to many, they simply introduce noise to the clean signal that is their sensibly normalized data structures. What about speed (Velocity)? It’s not just high frequency trading that generates data faster than a single system can handle. Many other applications need to make trade-offs that traditional databases won’t, in order to cope with high data insert speeds, or to extract quickly the required information from data streams. Unfortunately, many people equate Big Data with the Hadoop platform, whose batch driven queries and job processing queues have little to do with “velocity”. StreamInsight, Esper and Tibco BusinessEvents are examples of Big Data tools designed to handle high-velocity data streams. Again, the name doesn’t do the discipline of Big Data any favors. Ultimately, though, does analyzing fast moving data produce insights as useful as the ones we get through a more considered approach, enabled by traditional BI? Finally, we have Veracity and Value. In many ways, these additions to the classic Volume, Velocity and Variety trio acknowledge the criticism that without high-quality data and genuinely valuable outputs then data, big or otherwise, is worthless. As a discipline, Big Data has recognized this, and data quality and cleaning tools are starting to appear to support it. Rather than simply decrying the irrelevance of Volume, we need as a profession to focus how to improve Veracity and Value. Perhaps we should just declare the ‘Big’ silent, embrace these new data tools and help develop better practices for their use, just as we did the good old RDBMS? What does Big Data mean to you? Which V gives your business the most pain, or the most value? Do you see these new tools as a useful addition to the BI toolbox, or are they just enabling a dangerous trend to find ghosts in the noise?

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  • Inside Red Gate - Exercises in Leanness

    - by Simon Cooper
    There's a new movement rumbling around Red Gate Towers - the Lean Startup. At its core is the idea that you don't have to be in a company with single-digit employees to be an entrepreneur; you simply have to (being blunt) not know what you should be doing. Specifically, you accept that you don't know everything you need to know in order to create a useful, successful & profitable product. This is something that Red Gate has had problems with in the past; we've created products that weren't aimed at the correct market, or didn't solve the problem the user had (although they solved the problem we thought the users had, or the problem the users thought they had). As a result, these products weren't as successful as they could have been. The ideas at the core of the Lean Startup help to combat this tendency to build large, well-engineered products that solve the wrong problem. You need to actually test your hypotheses about what the users and the market needs, rather than just running a project based on those untested assumptions. Furthermore, these tests need to be done as fast as possible (on the order of a week) so that, if necessary, you can change the direction of the project without wasting effort going down a dead end. Over time, as more tests are done and more hypotheses are confirmed or refuted, the project moves towards something that solves users' actual problems. However, re-aligning the development teams that operate within Red Gate along these lines does itself have some issues; we've got very good at doing large, monolithic releases, with a feature set decided well in advance. Currently it takes about 2 weeks to do install & release testing before a release; this is clearly not practicable for a team doing weekly, or even daily releases. There's also many infrastructure issues to be solved; in our source control, build system, release mechanism, support pages & documentation, licensing system, update system, and download pages. All these need modifications to allow the fast releases necessary for each experiment. Not only do we have to change our infrastructure, we have to change our mindset. Doing daily releases means each release won't get nearly as much testing as 'standard' releases. As a team, we have to be prepared that there will be releases that have bugs and issues with them; not only do we have to be prepared to change direction with every experiment we do, but we have to be ready to fix any bugs that are reported very quickly as well. The SmartAssembly team is spearheading this move towards leanness within the company, using Feature Usage Reporting (FUR). We think this is a cracking feature that will really help developers learn how people use their products, but we need to confirm this hypothesis. So, over the next few weeks, we'll be running a variety of experiments on SmartAssembly to either confirm or refute our hypotheses concerning how people use SmartAssembly and apply FUR to their own products. In the rest of this series, I'll be documenting how the experiments we perform get on, and our experiences with applying the Lean Startup model to a mature product like SmartAssembly.

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  • Need to Know

    - by Tony Davis
    Sometimes, I wonder whether writers of documentation, tutorials and articles stop to ask themselves one very important question: Does the reader really need to know this? I recently took on the task of writing a concise series of articles about the transaction log, what is it, how it works and why it's important. It was an enjoyable task; rather like peering inside a giant, complex clock mechanism. Initially, one sees only the basic components, which work to guarantee the integrity of database transactions, and preserve these transactions so that data can be restored to a previous point in time. On closer inspection, one notices all of small, arcane mechanisms that are necessary to make this happen; LSNs, virtual log files, log chains, database checkpoints, and so on. It was engrossing, escapist, stuff; what I'd written looked weighty and steeped in mysterious significance. Suddenly, however, I jolted myself back to reality with the awful thought "does anyone really need to know all this?" The driver of a car needs only to be dimly aware of what goes on under the hood, however exciting the mechanism is to the engineer. Similarly, while everyone who uses SQL Server ought to be aware of the transaction log, its role in guaranteeing the ACID properties, and how to control its growth, the intricate mechanisms ticking away under its clock face are a world away from the daily work of the harassed developer. The DBA needs to know more, such as the correct rituals for ensuring optimal performance and data integrity, setting the appropriate growth characteristics, backup routines, restore procedures, and so on. However, even then, the average DBA only needs to understand enough about the arcane processes to spot problems and react appropriately, or to know how to Google for the best way of dealing with it. The art of technical writing is tied up in intimate knowledge of your audience and what they need to know at any point. It means serving up just enough at each point to help the reader in a practical way, but not to overcook it, or stuff the reader with information that does them no good. When I think of the books and articles that have helped me the most, they have been full of brief, practical, and well-informed guidance, based on experience. This seems far-removed from the 900-page "beginner's guides" that one now sees everywhere. The more I write and edit, the more I become convinced that the real art of technical communication lies in knowing what to leave out. In what areas do the SQL Server technical materials suffer from "information overload"? Where else does it seem that concise, practical advice is drowned out by endless discussion of the "clock mechanisms"? Cheers, Tony.

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  • Exceptional DBA 2011 Jeff Moden on why you should enter in 2012

    - by RedAndTheCommunity
    My "reign" as the Red Gate Exceptional DBA is almost over and I was asked to say a few words about this wonderful award. Having been one of those folks that shied away from entering the contest during the first 3 years of the award, I thought I'd spend the time encouraging DBAs of all types to enter. Winning this award has some obvious benefits. You win a trip to PASS including money towards your flight, paid hotel stay, and, of course, paid admission. You win a wonderful bundle of software from Red Gate to make your job as a DBA a whole lot easier. You also win some pretty incredible notoriety for your resume. After all, it's not everyone who wins a worldwide contest. To date, there are only 4 of us in the world who have won this award. You could be number 5! For me, all of that pales in comparison to what I found out during the entry process. I'm very confident in my skills, but I'm also humble. It was suggested to me that I enter the contest when it first started. I just couldn't bring myself to nominate myself. When the 2011 nomination period opened up, several people again suggested that I enter, so I swallowed hard and asked several co-workers to have a look at the online nomination form and, if they thought me worthy, to write a nomination for me. I won't bore you with the details, but what they wrote about me was one of the most incredible rewards that I could ever have hoped to receive. I had no idea of the impact that I'd made on my co-workers. Even if I hadn't made it to the top 5 for the award, I had already won something very near and dear that no one can ever top. "Even if I hadn't made it to the top 5 for the award, I had already won something very near and dear that no one can ever top." There's only one named winner and 4 "runners up" in this competition every year but don't let that discourage you. Enter this competition. Even if you work in the proverbial "Mom'n'Pop" shop, get your boss and the people you work with directly to nominate you. Even if you don't make it to the top 5, you might just find out that you're more of a winner than you think. If you're too proud to ask them, then take the time to nominate yourself instead of shying away like I did for the first 3 years. You work hard as a DBA and, as David Poole once said, if you're the first person that people ask for help rather than one of the last, then you're probably an Exceptional DBA. It's time to stand up and be counted! Win or lose, the entry process can be a huge reward in itself. It was for me. Thank you, Red Gate, for giving me such a wonderful opportunity. Thanks for listening folks and for all that you do as DBAs. As 'Red Green' says, "We're all in this together and I'm pullin' for ya". --Jeff Moden Red Gate Exceptional DBA 2011

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  • SharePoint 2010 release date - is it that important?

    - by CharlesLee
    There has been lots of excitement in the SharePoint community over the last few days as Microsoft have announced the official release date of SharePoint 2010. May 12th is the date for your diaries (RTM in April.) The twittersphere has been telling everyone for the last few days about this news and there is much excitement. The major conferences this year all seem to have a SharePoint 2010 focus and some are entirely focussed on the new product (e.g. SharePoint Evolution Conference.)  Now by all accounts Microsoft have plugged some significant functionality gaps that exist in WSS 3.0 and MOSS 2007 and provided some exciting new functionality.  You don't need me to tell you about these as the MVPs (and other community members) are doing a sterling job, after all that is why Microsoft has MVPs in the first place. Lets get real for a second though as there is a significant investment involved in moving to SharePoint 2010:  Firstly you need 64 bit architecture across the board, now for some environments that is no inconsequential hurdle, that's a pretty significant roadblock.   The development farm, test farm and UAT farm are all going to require the same infrastructure upgrades. To take advantage of the tooling for SP2010 you will need to upgrade to Visual Studio 2010 and your development team is going to require 64 bit hardware/OS too.  I would not recommend installing SP 2010 in client installation mode (i.e. for Windows 7) on your developer machines, I would use this for demo machines only. Something that lots of people seem to forget in all their whooping and hollering about the new release is that there is a large amount of end user training going to be required as the browser UI has now adopted the omnipotent ribbon interface and there are other new and more complicated features. SharePoint Designer has also entirely changed in both look and feel and some significant feature changes have taken place. Lest we should forget that some companies have not long upgraded to MOSS 2007 and are yet to see a significant ROI for that project. And the reticence that most companies feel about implementing v1 Microsoft products.  This is only the surface of the deeper issues which would be involved in any upgrade process, so I guess I share a small part of the concern voiced by Mark Miller of EndUserSharePoint.com.  Is SharePoint 2010 relevant? I don't share this sentiment in its entirety as I firmly believe that all companies should be looking at SharePoint 2010 from day one, however most large scale existing implementations of MOSS 2007 are going to be several years away from a serious upgrade project.  So should the conference organisers and the SharePoint community as a whole be a little more understanding of the real world issues?  It's easy to get carried away in the excitement of a new product and new tools to play with but there needs to be a focus on the real world issues that most people are facing day to day and at the moment and for the short term future (at the very least the next 12 months) that is fairly and squarely in the WSS 2.0/3.0 and SPS 2003/MOSS 2007 camps. Don't get me wrong, I am very very excited about getting to grips with SharePoint 2010 in the real world and I cannot wait for my first real project to come along, but for now I am just being realistic about the reality for most people who work with SharePoint. I have been spending a lot of time on www.sharepointoverflow.com recently as there is a community of people building up who are committed to answering the real world questions that folks are dealing with every day.  I urge you to take a look and either ask or answer some questions direct from the front line of the SharePoint world.

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  • The .NET Rocks! Visual Studio 2010 Road Trip

    - by Laila
    Carl Franklin and Richard Campbell, the two .NET Rocks radio show hosts, have decided to set off to 15 cities in the US, between April 19th and May 7th, in their DotNetMobile (a 30 foot RV). What for you'll ask me? Well, to drive around the US, meet up with .NET developers, and show off the latest and greatest in Visual Studio 2010 and .NET 4.0! Each evening, they stop in a city and host a three hour event in front of a 100 to 300 crowd of developers, where Carl is showing off media features in Silverlight 4 and their road trip tracking application, whilst Richard is demo-ing the web performance testing features of VS2010 using his portable server rig. But before they take to the stage, they have a special guest brought in - a rock star from the Visual Studio world - whom they interview for an hour as a .NET Rock episode. So far, they've had - amongst others - Phil Haack, a Program Manager with the ASP.NET team working on ASP.NET MVC, Dan Fernandez, an Evangelism Manager in the Developer and Platform Evangelism team at Microsoft, and Beth Massi, Senior Program Manager on the Visual Studio Community Team at Microsoft. I love the fact that the audience gets a chance to participate, ask questions and have a great laugh, as you can hear in the first episode! Along the way, the .NET Rocks guys are giving away great prizes (including .NET Reflector Pro, ANTS Memory Profiler licenses, and "40" LCD TVs!). Even more out of the ordinary, at each stop on the road trip, one lucky attendee (who entered in the Ride Along competition) gets to jump in the RV with Carl and Richard and ride along with them to the next stop on the roadtrip. How cool is that! Richard told us: "Our first winner in Mountain View was Eric Ziko. I was looking for him to announce that he had won, when he found us and gave us a bottle of scotch he had brought just to say 'thanks for the great show'. We all had a toast from the bottle the next night when he headed back home." Cheeky! There's still space to a few of these events, so if you want to attend, register now, because it's first come first serve. We're grateful to Richard and Carl for giving us the opportunity to sponsor this major .NET event! A unique .NET adventure worth following for sure. Cheers, Laila

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  • 5 ways the Exceptional DBA Award could boost your career

    - by Rebecca Amos
    Winning the Exceptional DBA Award won’t just get you full conference registration for the PASS Summit – it could also change your life and career. With a little help from our past winners, here are the top 5 ways the Exceptional DBA Award could take your career to the next level: 1. Recognition from your peers As 2009 winner Josef Richberg says, “Being recognized by your peers is the highest honor one can receive.” Whether you enter yourself, or are nominated by a friend or colleague, the fact that the winner is selected by the SQL Server community is a great chance for your peers to recognize your achievements as a DBA. 2. Boost your CV Winning the Exceptional DBA Award not only shows that you excel as a DBA, but that SQL Server experts think so too – a huge vote of confidence for any prospective employer. 2008 winner Dan McClain agrees, “It brings another level of 'wow' to my resume”. 3. Networking opportunities within the community Whether you want to increase your experience as a writer, speaker or blogger, winning the Exceptional DBA Award can open up new opportunities within the SQL Server community. Plus you’ll make new friends along the way, as Josef has discovered: “It is an unbelievable community that has become an extended family.” 4. Award ceremony at the world's largest technical SQL Server conference The Exceptional DBA Award is presented at the PASS Summit, giving you great networking opportunities and a chance to be seen by people throughout the SQL Server community. 5. Increased personal confidence Finally, the Exceptional DBA Award should give a huge boost to your personal confidence. Last year’s winner, Tracy Hamlin has certainly found this: “The recognition has given me new confidence and the drive to accomplish even loftier goals.” Read the full interview with our past winners to find out how why they’re encouraging you to enter this year’s Exceptional DBA Awards. Already inspired? Then why not get started on your entry straightaway: www.exceptionaldba.com

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  • Tough Decisions

    - by Johnm
    There was once a thriving business that employed two Database Administrators, Sam and Jim. Both DBAs were certified, educated and highly talented in their skill sets. During lunch breaks these two DBAs were often found together discussing best practices, troubleshooting techniques and the latest release notes for the upcoming version of SQL Server. They genuinely loved what they did. The maintenance of the first database was the responsibility of Sam. He was the architect of this server's setup and he was very meticulous in its configuration. He regularly monitored the health of the database, validated backup files and regularly adhered to the best practices that were advocated by well respected professionals. He was very proud of the fact that there was never a database that he managed that lost data or performed poorly. The maintenance of the second database was the responsibility of Jim. He too was the architect of this server's setup. At the time that he built this server, his understanding of the finer details of configuration were not as clear as they are today. The server was build on a shoestring budget and with very little time for testing and implementation. Jim often monitored the health of the database; but in more of a reactionary mode due to user complaints of slowness or failed transactions. Deadlocks abounded and the backup files were never validated. One day, the announcement was made that revealed that the business had hit financially hard times. Budgets were being cut, limitation on spending was implemented and the reduction in full-time staff was required. Since having two DBAs was regarded a luxury by many, this meant that either Sam or Jim were about to find themselves out of a job. Sam and Jim's boss, Frank, was faced with a very tough decision. Sam's performance was flawless. His techniques and practices were perfection. The databases he managed were reliable and efficient. His solutions are "by the book". When given a task it is certain that, while it may take a little longer, it will be done right the first time. Jim's techniques and practices were not perfect; but effective and responsive. He made mistakes regularly; but he shows that he learns from them and they often result in innovative solutions. When given a task it is certain that, while the results may require some tweaking, it will be done on time and under budget. You are Frank's best friend. He approaches you and presents this scenario. He must layoff one of his valued DBAs the very next morning. Frank asks you: "All else being equal, who would you let go? and Why?" Another pertinent question is raised: "Regardless of good times or bad, if you had to choose, which DBA would you want on your team when tough challenges arise?" Your response is. (This is where you enter a comment below)

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  • How SQL Server 2014 impacts Red Gate’s SQL Compare

    - by Michelle Taylor
    SQL Compare 10.7 successfully connects to SQL Server 2014, but it doesn’t yet cover the SQL Server 2014 features which would require us to make major changes to SQL Compare to support. In this post I’m going to talk about the SQL Server 2014 features we’ve already begun supporting, and which ones we’re working on for the next release of SQL Compare (v11). From SQL Compare’s perspective, the new memory-optimized table functionality (some might know it as ‘Hekaton’) has been the most important change. It can’t be described as its own object type, but the new functionality is split across two existing object types (three if you count indexes), as it also comes with native stored procedures and inline indexes. Along with connectivity support, the SQL Compare team has already implemented the first part of the puzzle – inline specification of indexes. These are essential for memory-optimized tables because it’s not possible to alter the memory optimized table’s structure, and so indexes can’t be added after the fact without dropping the table. Books Online  shows this in more detail in the table_index and column_index clauses of http://msdn.microsoft.com/en-us/library/ms174979(v=sql.120).aspx. SQL Compare 10.7 currently supports reading the new inline index specification from script folders and source control repositories, and will write out inline indexes where it’s necessary to do so (i.e. in UDDTs or when attempting to write projects compatible with the SSDT database project format). However, memory-optimized tables themselves are not yet supported in 10.7. The team is actively working on making them available in the v11 release with full support later in the year, and in a beta version before that. Fortunately, SQL Compare already has some ways of handling tables that have to be dropped and created rather than altered, which are being adapted to handle this new kind of table. Because it’s one of the largest new database engine features, there’s an equally large Books Online section on memory-optimized tables, but for us the most important parts of the documentation are the normal table features that are changed or unsupported and the new syntax found in the T-SQL reference pages. We are treating SQL Compare’s support of Natively Compiled Stored Procedures as a separate unit of work, which will be available in a subsequent beta and also feed into the v11 release. This new type of stored procedure is designed to work with memory-optimized tables to maintain the performance improvements gained by them – but you can still also access memory-optimized tables from normal stored procedures and ad-hoc queries. To us, they’re essentially a limited-syntax stored procedure with a few extra options in the create statement, embodied in the updated CREATE PROCEDURE documentation and with the detailed limitations. They should be easier to handle than memory-optimized tables simply because the handling of stored procedures is less sensitive to dropping the object than the handling of tables. However, both share an incompatibility with DDL triggers and Event Notifications which mean we’ll need to temporarily disable these during the specific deployment operations that involve them – don’t worry, we’ll supply a warning if this is the case so that you can check your auditing arrangements can handle the situation. There are also a handful of other improvements in SQL Server 2014 which affect SQL Compare and SQL Data Compare that are not connected to memory optimized tables. The largest of these are the improvements to columnstore indexes, with the capability to create clustered columnstore indexes and update columnstore tables through them – for more detail, take a look at the new syntax reference. There’s also a new index option for better compression of columnstores (COLUMNSTORE_ARCHIVE) and a new statistics option for incremental per-partition statistics, plus the 90 compatibility level is being retired. We’re planning to finish up these small clean-up features last, and be ready to release SQL Compare 11 with full SQL 2014 support early in Q3 this year. For a more thorough overview of what’s new in SQL Server 2014, Books Online’s What’s New section is a good place to start (although almost all the changes in this version are in the Database Engine).

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