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  • A TDD Journey: 3- Mocks vs. Stubs; Test Frameworks; Assertions; ReSharper Accelerators

    Test-Driven Development (TDD) involves the repetition of a very short development cycle that begins with an initially-failing test that defines the required functionality, and ends with producing the minimum amount of code to pass that test, and finally refactoring the new code. Michael Sorens continues his introduction to TDD that is more of a journey in six parts, by implementing the first tests and introducing the topics of Test doubles; Test Runners, Constraints and assertions

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  • Some non-generic collections

    - by Simon Cooper
    Although the collections classes introduced in .NET 2, 3.5 and 4 cover most scenarios, there are still some .NET 1 collections that don't have generic counterparts. In this post, I'll be examining what they do, why you might use them, and some things you'll need to bear in mind when doing so. BitArray System.Collections.BitArray is conceptually the same as a List<bool>, but whereas List<bool> stores each boolean in a single byte (as that's what the backing bool[] does), BitArray uses a single bit to store each value, and uses various bitmasks to access each bit individually. This means that BitArray is eight times smaller than a List<bool>. Furthermore, BitArray has some useful functions for bitmasks, like And, Xor and Not, and it's not limited to 32 or 64 bits; a BitArray can hold as many bits as you need. However, it's not all roses and kittens. There are some fundamental limitations you have to bear in mind when using BitArray: It's a non-generic collection. The enumerator returns object (a boxed boolean), rather than an unboxed bool. This means that if you do this: foreach (bool b in bitArray) { ... } Every single boolean value will be boxed, then unboxed. And if you do this: foreach (var b in bitArray) { ... } you'll have to manually unbox b on every iteration, as it'll come out of the enumerator an object. Instead, you should manually iterate over the collection using a for loop: for (int i=0; i<bitArray.Length; i++) { bool b = bitArray[i]; ... } Following on from that, if you want to use BitArray in the context of an IEnumerable<bool>, ICollection<bool> or IList<bool>, you'll need to write a wrapper class, or use the Enumerable.Cast<bool> extension method (although Cast would box and unbox every value you get out of it). There is no Add or Remove method. You specify the number of bits you need in the constructor, and that's what you get. You can change the length yourself using the Length property setter though. It doesn't implement IList. Although not really important if you're writing a generic wrapper around it, it is something to bear in mind if you're using it with pre-generic code. However, if you use BitArray carefully, it can provide significant gains over a List<bool> for functionality and efficiency of space. OrderedDictionary System.Collections.Specialized.OrderedDictionary does exactly what you would expect - it's an IDictionary that maintains items in the order they are added. It does this by storing key/value pairs in a Hashtable (to get O(1) key lookup) and an ArrayList (to maintain the order). You can access values by key or index, and insert or remove items at a particular index. The enumerator returns items in index order. However, the Keys and Values properties return ICollection, not IList, as you might expect; CopyTo doesn't maintain the same ordering, as it copies from the backing Hashtable, not ArrayList; and any operations that insert or remove items from the middle of the collection are O(n), just like a normal list. In short; don't use this class. If you need some sort of ordered dictionary, it would be better to write your own generic dictionary combining a Dictionary<TKey, TValue> and List<KeyValuePair<TKey, TValue>> or List<TKey> for your specific situation. ListDictionary and HybridDictionary To look at why you might want to use ListDictionary or HybridDictionary, we need to examine the performance of these dictionaries compared to Hashtable and Dictionary<object, object>. For this test, I added n items to each collection, then randomly accessed n/2 items: So, what's going on here? Well, ListDictionary is implemented as a linked list of key/value pairs; all operations on the dictionary require an O(n) search through the list. However, for small n, the constant factor that big-o notation doesn't measure is much lower than the hashing overhead of Hashtable or Dictionary. HybridDictionary combines a Hashtable and ListDictionary; for small n, it uses a backing ListDictionary, but switches to a Hashtable when it gets to 9 items (you can see the point it switches from a ListDictionary to Hashtable in the graph). Apart from that, it's got very similar performance to Hashtable. So why would you want to use either of these? In short, you wouldn't. Any gain in performance by using ListDictionary over Dictionary<TKey, TValue> would be offset by the generic dictionary not having to cast or box the items you store, something the graphs above don't measure. Only if the performance of the dictionary is vital, the dictionary will hold less than 30 items, and you don't need type safety, would you use ListDictionary over the generic Dictionary. And even then, there's probably more useful performance gains you can make elsewhere.

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  • PowerShell & SQL Compare

    - by Grant Fritchey
    Just a quick blog post to share a couple of scripts for using PowerShell to call SQL Compare. This is an example from my session at SQL in the City on setting up a sandbox development process. This just runs a compare between a set of scripts and a database and deploys it. set-Location “c:\Program Files (x86)\Red Gate\SQL Compare 10\”; ./sqlcompare /s2:DOJO /db2:MovieManagement_Sandbox /sourcecontrol1 /vu1:grant /vp1:12345 /r1:HEAD /sfx:scripts.xml /sync /mfx:migrations.xml /verbose; I would not recommend using the /verbose output for real automation, but I’m showing off how the tool works. This particular script does a compare straight from source control to a database on my server. You can use variables where I’ve hard coded. That’s it. Works great. Just wanted to share it out there. I have others that I’ll track down and put up here.  

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  • Database IDs

    - by fatherjack
    Just a quick post, mainly to test out the new blog format but related to a question on the #sqlhelp hashtag. The question came from Justin Dearing (@zippy1981) as: So I take it database_id isn’t an ever incrementing value. #sqlhelp When a new database is created it is given the lowest available ID. This either is in a gap in IDs where a database has been dropped or the database ID is incremented by one from the highest current ID if there are no gaps to fill. To see this in action, connect to your sandbox server and try this: USE MASTER GO CREATE DATABASE cherry GO USE cherry GO SELECT DB_ID() GO CREATE DATABASE grape GO USE grape GO SELECT DB_ID() GO CREATE DATABASE melon GO USE melon GO SELECT DB_ID() GO USE MASTER GO DROP DATABASE grape GO CREATE DATABASE kiwi GO USE kiwi GO SELECT DB_ID() GO USE MASTER GO DROP DATABASE cherry DROP DATABASE melon DROP DATABASE kiwi You should get an incrementing series of database IDs as the databases are created until the last one where the new database gets allocated the ID that is missing because one was dropped.

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  • Source-control 'wet-work'?

    - by Phil Factor
    When a design or creative work is flawed beyond remedy, it is often best to destroy it and start again. The other day, I lost the code to a long and intricate SQL batch I was working on. I’d thought it was impossible, but it happened. With all the technology around that is designed to prevent this occurring, this sort of accident has become a rare event.  If it weren’t for a deranged laptop, and my distraction, the code wouldn’t have been lost this time.  As always, I sighed, had a soothing cup of tea, and typed it all in again.  The new code I hastily tapped in  was much better: I’d held in my head the essence of how the code should work rather than the details: I now knew for certain  the start point, the end, and how it should be achieved. Instantly the detritus of half-baked thoughts fell away and I was able to write logical code that performed better.  Because I could work so quickly, I was able to hold the details of all the columns and variables in my head, and the dynamics of the flow of data. It was, in fact, easier and quicker to start from scratch rather than tidy up and refactor the existing code with its inevitable fumbling and half-baked ideas. What a shame that technology is now so good that developers rarely experience the cleansing shock of losing one’s code and having to rewrite it from scratch.  If you’ve never accidentally lost  your code, then it is worth doing it deliberately once for the experience. Creative people have, until Technology mistakenly prevented it, torn up their drafts or sketches, threw them in the bin, and started again from scratch.  Leonardo’s obsessive reworking of the Mona Lisa was renowned because it was so unusual:  Most artists have been utterly ruthless in destroying work that didn’t quite make it. Authors are particularly keen on writing afresh, and the results are generally positive. Lawrence of Arabia actually lost the entire 250,000 word manuscript of ‘The Seven Pillars of Wisdom’ by accidentally leaving it on a train at Reading station, before rewriting a much better version.  Now, any writer or artist is seduced by technology into altering or refining their work rather than casting it dramatically in the bin or setting a light to it on a bonfire, and rewriting it from the blank page.  It is easy to pick away at a flawed work, but the real creative process is far more brutal. Once, many years ago whilst running a software house that supplied commercial software to local businesses, I’d been supervising an accounting system for a farming cooperative. No packaged system met their needs, and it was all hand-cut code.  For us, it represented a breakthrough as it was for a government organisation, and success would guarantee more contracts. As you’ve probably guessed, the code got mangled in a disk crash just a week before the deadline for delivery, and the many backups all proved to be entirely corrupted by a faulty tape drive.  There were some fragments left on individual machines, but they were all of different versions.  The developers were in despair.  Strangely, I managed to re-write the bulk of a three-month project in a manic and caffeine-soaked weekend.  Sure, that elegant universally-applicable input-form routine was‘nt quite so elegant, but it didn’t really need to be as we knew what forms it needed to support.  Yes, the code lacked architectural elegance and reusability. By dawn on Monday, the application passed its integration tests. The developers rose to the occasion after I’d collapsed, and tidied up what I’d done, though they were reproachful that some of the style and elegance had gone out of the application. By the delivery date, we were able to install it. It was a smaller, faster application than the beta they’d seen and the user-interface had a new, rather Spartan, appearance that we swore was done to conform to the latest in user-interface guidelines. (we switched to Helvetica font to look more ‘Bauhaus’ ). The client was so delighted that he forgave the new bugs that had crept in. I still have the disk that crashed, up in the attic. In IT, we have had mixed experiences from complete re-writes. Lotus 123 never really recovered from a complete rewrite from assembler into C, Borland made the mistake with Arago and Quattro Pro  and Netscape’s complete rewrite of their Navigator 4 browser was a white-knuckle ride. In all cases, the decision to rewrite was a result of extreme circumstances where no other course of action seemed possible.   The rewrite didn’t come out of the blue. I prefer to remember the rewrite of Minix by young Linus Torvalds, or the rewrite of Bitkeeper by a slightly older Linus.  The rewrite of CP/M didn’t do too badly either, did it? Come to think of it, the guy who decided to rewrite the windowing system of the Xerox Star never regretted the decision. I’ll agree that one should often resist calls for a rewrite. One of the worst habits of the more inexperienced programmer is to denigrate whatever code he or she inherits, and then call loudly for a complete rewrite. They are buoyed up by the mistaken belief that they can do better. This, however, is a different psychological phenomenon, more related to the idea of some motorcyclists that they are operating on infinite lives, or the occasional squaddies that if they charge the machine-guns determinedly enough all will be well. Grim experience brings out the humility in any experienced programmer.  I’m referring to quite different circumstances here. Where a team knows the requirements perfectly, are of one mind on methodology and coding standards, and they already have a solution, then what is wrong with considering  a complete rewrite? Rewrites are so painful in the early stages, until that point where one realises the payoff, that even I quail at the thought. One needs a natural disaster to push one over the edge. The trouble is that source-control systems, and disaster recovery systems, are just too good nowadays.   If I were to lose this draft of this very blog post, I know I’d rewrite it much better. However, if you read this, you’ll know I didn’t have the nerve to delete it and start again.  There was a time that one prayed that unreliable hardware would deliver you from an unmaintainable mess of a codebase, but now technology has made us almost entirely immune to such a merciful act of God. An old friend of mine with long experience in the software industry has long had the idea of the ‘source-control wet-work’,  where one hires a malicious hacker in some wild eastern country to hack into one’s own  source control system to destroy all trace of the source to an application. Alas, backup systems are just too good to make this any more than a pipedream. Somehow, it would be difficult to promote the idea. As an alternative, could one construct a source control system that, on doing all the code-quality metrics, would systematically destroy all trace of source code that failed the quality test? Alas, I can’t see many managers buying into the idea. In reading the full story of the near-loss of Toy Story 2, it set me thinking. It turned out that the lucky restoration of the code wasn’t the happy ending one first imagined it to be, because they eventually came to the conclusion that the plot was fundamentally flawed and it all had to be rewritten anyway.  Was this an early  case of the ‘source-control wet-job’?’ It is very hard nowadays to do a rapid U-turn in a development project because we are far too prone to cling to our existing source-code.

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  • Clever memory usage through the years

    - by Ben Emmett
    A friend and I were recently talking about the really clever tricks people have used to get the most out of memory. I thought I’d share my favorites, and would love to hear yours too! Interleaving on drum memory Back in the ye olde days before I’d been born (we’re talking the 50s / 60s here), working memory commonly took the form of rotating magnetic drums. These would spin at a constant speed, and a fixed head would read from memory when the correct part of the drum passed it by, a bit like a primitive platter disk. Because each revolution took a few milliseconds, programmers took to manually arranging information non-sequentially on the drum, timing when an instruction or memory address would need to be accessed, then spacing information accordingly around the edge of the drum, thus reducing the access delay. Similar techniques were still used on hard disks and floppy disks into the 90s, but have become irrelevant with modern disk technologies. The Hashlife algorithm Conway’s Game of Life has attracted numerous implementations over the years, but Bill Gosper’s Hashlife algorithm is particularly impressive. Taking advantage of the repetitive nature of many cellular automata, it uses a quadtree structure to store the hashes of pieces of the overall grid. Over time there are fewer and fewer new structures which need to be evaluated, so it starts to run faster with larger grids, drastically outperforming other algorithms both in terms of speed and the size of grid which can be simulated. The actual amount of memory used is huge, but it’s used in a clever way, so makes the list . Elite’s procedural generation Ok, so this isn’t exactly a memory optimization – more a storage optimization – but it gets an honorable mention anyway. When writing Elite, David Braben and Ian Bell wanted to build a rich world which gamers could explore, but their 22K memory was something of a limitation (for comparison that’s about the size of my avatar picture at the top of this page). They procedurally generated all the characteristics of the 2048 planets in their virtual universe, including the names, which were stitched together using a lookup table of parts of names. In fact the original plans were for 2^52 planets, but it was decided that that was probably too many. Oh, and they did that all in assembly language. Other games of the time used similar techniques too – The Sentinel’s landscape generation algorithm being another example. Modern Garbage Collectors Garbage collection in managed languages like Java and .NET ensures that most of the time, developers stop needing to care about how they use and clean up memory as the garbage collector handles it automatically. Achieving this without killing performance is a near-miraculous feet of software engineering. Much like when learning chemistry, you find that every time you think you understand how the garbage collector works, it turns out to be a mere simplification; that there are yet more complexities and heuristics to help it run efficiently. Of course introducing memory problems is still possible (and there are tools like our memory profiler to help if that happens to you) but they’re much, much rarer. A cautionary note In the examples above, there were good and well understood reasons for the optimizations, but cunningly optimized code has usually had to trade away readability and maintainability to achieve its gains. Trying to optimize memory usage without being pretty confident that there’s actually a problem is doing it wrong. So what have I missed? Tell me about the ingenious (or stupid) tricks you’ve seen people use. Ben

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  • Oracle to SQL Server: Crossing the Great Divide, Part 1

    When a SQL expert moves from Oracle to SQL Server, he can spot obvious strengths and weaknesses in the product that aren't obvious to the SQL Server DBA. Jonathan Lewis is that man, as he records his train of thought whilst he investigates the mechanics of the database engine. The result makes interesting reading.

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  • How to Create Features for Windows SharePoint Services 3.0

    To customise a SharePoint (WSS 3.0) site, you'll need to understand 'Features'. The 'Feature' framework has become the most important method of customising a SharePoint site, because it is now defined by a list of Features, a layout page and a master page. One templated site can be turned into another by toggling Features and maybe switching the layout page or master page. Charles Lee explains.

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  • 4 Geek Excuses for Bad Presentations

    Frustrated by technically interesting yet agonizing conferences, Dr. Masha Petrova leaves geeks with no excuses for making bad presentations, and begins her campaign ensure that the people with good ideas also have good presentation skills to back them up, and get them noticed.

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  • Anatomy of a .NET Assembly - CLR metadata 2

    - by Simon Cooper
    Before we look any further at the CLR metadata, we need a quick diversion to understand how the metadata is actually stored. Encoding table information As an example, we'll have a look at a row in the TypeDef table. According to the spec, each TypeDef consists of the following: Flags specifying various properties of the class, including visibility. The name of the type. The namespace of the type. What type this type extends. The field list of this type. The method list of this type. How is all this data actually represented? Offset & RID encoding Most assemblies don't need to use a 4 byte value to specify heap offsets and RIDs everywhere, however we can't hard-code every offset and RID to be 2 bytes long as there could conceivably be more than 65535 items in a heap or more than 65535 fields or types defined in an assembly. So heap offsets and RIDs are only represented in the full 4 bytes if it is required; in the header information at the top of the #~ stream are 3 bits indicating if the #Strings, #GUID, or #Blob heaps use 2 or 4 bytes (the #US stream is not accessed from metadata), and the rowcount of each table. If the rowcount for a particular table is greater than 65535 then all RIDs referencing that table throughout the metadata use 4 bytes, else only 2 bytes are used. Coded tokens Not every field in a table row references a single predefined table. For example, in the TypeDef extends field, a type can extend another TypeDef (a type in the same assembly), a TypeRef (a type in a different assembly), or a TypeSpec (an instantiation of a generic type). A token would have to be used to let us specify the table along with the RID. Tokens are always 4 bytes long; again, this is rather wasteful of space. Cutting the RID down to 2 bytes would make each token 3 bytes long, which isn't really an optimum size for computers to read from memory or disk. However, every use of a token in the metadata tables can only point to a limited subset of the metadata tables. For the extends field, we only need to be able to specify one of 3 tables, which we can do using 2 bits: 0x0: TypeDef 0x1: TypeRef 0x2: TypeSpec We could therefore compress the 4-byte token that would otherwise be needed into a coded token of type TypeDefOrRef. For each type of coded token, the least significant bits encode the table the token points to, and the rest of the bits encode the RID within that table. We can work out whether each type of coded token needs 2 or 4 bytes to represent it by working out whether the maximum RID of every table that the coded token type can point to will fit in the space available. The space available for the RID depends on the type of coded token; a TypeOrMethodDef coded token only needs 1 bit to specify the table, leaving 15 bits available for the RID before a 4-byte representation is needed, whereas a HasCustomAttribute coded token can point to one of 18 different tables, and so needs 5 bits to specify the table, only leaving 11 bits for the RID before 4 bytes are needed to represent that coded token type. For example, a 2-byte TypeDefOrRef coded token with the value 0x0321 has the following bit pattern: 0 3 2 1 0000 0011 0010 0001 The first two bits specify the table - TypeRef; the other bits specify the RID. Because we've used the first two bits, we've got to shift everything along two bits: 000000 1100 1000 This gives us a RID of 0xc8. If any one of the TypeDef, TypeRef or TypeSpec tables had more than 16383 rows (2^14 - 1), then 4 bytes would need to be used to represent all TypeDefOrRef coded tokens throughout the metadata tables. Lists The third representation we need to consider is 1-to-many references; each TypeDef refers to a list of FieldDef and MethodDef belonging to that type. If we were to specify every FieldDef and MethodDef individually then each TypeDef would be very large and a variable size, which isn't ideal. There is a way of specifying a list of references without explicitly specifying every item; if we order the MethodDef and FieldDef tables by the owning type, then the field list and method list in a TypeDef only have to be a single RID pointing at the first FieldDef or MethodDef belonging to that type; the end of the list can be inferred by the field list and method list RIDs of the next row in the TypeDef table. Going back to the TypeDef If we have a look back at the definition of a TypeDef, we end up with the following reprensentation for each row: Flags - always 4 bytes Name - a #Strings heap offset. Namespace - a #Strings heap offset. Extends - a TypeDefOrRef coded token. FieldList - a single RID to the FieldDef table. MethodList - a single RID to the MethodDef table. So, depending on the number of entries in the heaps and tables within the assembly, the rows in the TypeDef table can be as small as 14 bytes, or as large as 24 bytes. Now we've had a look at how information is encoded within the metadata tables, in the next post we can see how they are arranged on disk.

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  • The Fast Guide to Application Profiling

    In this sample chapter from his recently released book (co-Authored with Paul Glavich) Chris Farrell gives us a fast overview of performance profiling, memory profiling, profiling tools, and in fact everything we need to know when it comes to profiling our applications. This is a great first step, and The Complete Guide to .NET Performance Testing and Optimization is crammed with even more indispensable knowledge.

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  • Thank you to all entrants! Finalist announcement coming soon...

    - by Rebecca Amos
    We had a fantastic response to this year's Exceptional DBA Awards. A big thank you to everyone who took the time and effort to make a nomination - it's great to see so many DBAs being appreciated for the hard work that they do. We're now busy collating the answers to send off to the Exceptional DBA judges. They'll pick their five finalists, which we'll be announcing in a few weeks’ time. So watch this space for further details. In the meantime, don't forget you can still download your free resources from the Exceptional DBA Award website. You can use them for your own career and personal development; pass them on to a great DBA you know, or to start planning your entry for next year!

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  • SQL Search- The Search and the Sequel

    It started out as an experiment to try to explore different ways of creating a software tool that people would want. It ended up as a tool that Red Gate is giving away to the SQL Server community in return for the contribution to the project of so many of Red Gate's friends within the community. But was it easy to do? Bob Cramblitt and Richard Collins went to find out by talking to Tanya Joseph, who managed the project that turned the concept into a product.

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  • Antenna Aligner part 2: Finding the right direction

    - by Chris George
    Last time I managed to get "my first app(tm)" built, published and running on my iPhone. This was really cool, a piece of my code running on my very own device. Ok, so I'm easily pleased! The next challenge was actually trying to determine what it was I wanted this app to do, and how to do it. Reverting back to good old paper and pen, I started sketching out designs for the app. I knew I wanted it to get a list of transmitters, then clicking on a transmitter would display a compass type view, with an arrow pointing the right way. I figured there would not be much point in continuing until I know I could do the graphical part of the project, i.e. the rotating compass, so armed with that reasoning (plus the fact I just wanted to get on and code!), I once again dived into visual studio. Using my friend (google) I found some example code for getting the compass data from the phone using the PhoneGap framework. // onSuccess: Get the current heading // function onSuccess(heading) {    alert('Heading: ' + heading); } navigator.compass.getCurrentHeading(onSuccess, onError); Using the ripple mobile emulator this showed that it was successfully getting the compass heading. But it didn't work when uploaded to my phone. It turns out that the examples I had been looking at were for PhoneGap 1.0, and Nomad uses PhoneGap 1.4.1. In 1.4.1, getCurrentHeading provides a compass object to onSuccess, not just a numeric value, so the code now looks like // onSuccess: Get the current magnetic heading // function onSuccess(heading) {    alert('Heading: ' + heading.magneticHeading); }; navigator.compass.getCurrentHeading(onSuccess, onError); So the lesson learnt from this... read the documentation for the version you are actually using! This does, however, lead to compatibility problems with ripple as it only supports 1.0 which is a real pain. I hope that the ripple system is updated sometime soon.

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  • ReSharper C# Live Template for Dependency Property and Property Change Routed Event Boilerplate Code

    - by Bart Read
    I don't know about you but it took me about 5 seconds to get royally fed up of typing the boilerplate code necessary for creating WPF (and Silverlight) dependency properties and, if you want them, their associated property change routed events. Being a ReSharper user, I wondered if there was any live template for doing this. It turns out there's nothing built in, but there are many examples of templates for creating dependency properties out there on the web, such as this excellent one from Roy...(read more)

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  • Showing All Pages in a SharePoint Wiki Library

    - by Damon Armstrong
    Opening a SharePoint wiki takes you to the wiki homepage, which is what most users want and expect.  Administrators, on the other hand, will occasionally need to see a full list of wiki pages in the wiki library.  Getting to this view is really easy, but you have to know where to look. The problem is that when viewing a wiki page SharePoint conveniently removes the Library tab from the ribbon, and the Library tab houses the controls you normally use to switch views.  Many an admin has been frustrated by the fact that they cannot get to this functionality.  A bit more searching, however, reveals that the Page tab in the ribbon contains a button in the Page Library group called View All Pages.  As the name suggests, clicking this button displays a document library style view all the pages in the wiki.  It also makes the Library tab available to switch views and gives administrators access to all of the standard Library tab functionality.

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  • Database Delivery Patterns and Practices

    Continuous database delivery is an automated process for building, deploying and testing databases to reduce risk and make rapid releases possible. It's enabled by a pipeline that starts when database changes are checked in, and ends when they're deployed to production. The articles collected here will help you understand the theories and methodologies behind every stage of the database delivery pipeline.

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  • Building Performance Metrics into ASP.NET MVC Applications

    When you're instrumenting an ASP.NET MVC or Web API application to monitor its performance while it is running, it makes sense to use custom performance counters.There are plenty of tools available that read performance counter data, report on it and create alerts based on it. You can then plot application metrics against all sorts of server and workstation metrics.This way, there will always be the right data to guide your tuning efforts.

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  • Database Administration as a Service

    A DBA should provide two things, a service and leadership. For Grant Fritchey, it was whilst serving a role in the Scouts of America that he had his epiphany. Creative chaos and energy, if tactfully harnessed and directed, led to effective ways to perform team-based tasks. Then he wondered why these skills couldn't be applied to the workplace. Are we DBAs doing it wrong in the way we interact with our co-workers?

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  • The .NET 4.5 async/await Commands in Promise and Practice

    The .NET 4.5 async/await feature provides an opportunity for improving the scalability and performance of applications, particularly where tasks are more effectively done in parallel. The question is: do the scalability gains come at a cost of slowing individual methods? In this article Jon Smith investigates this issue by conducting a side-by-side evaluation of the standard synchronous methods and the new async methods in real applications.

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  • Hello, can you just send me all your data please?

    - by fatherjack
    LiveJournal Tags: Security,SQL Server Our house phone rang on Saturday night and Mrs Fatherjack answered. I was in the other room but I heard her trying to explain to the caller that they were in some way mistaken. Eventually, as she got more irate with the caller, I went out and started to catch up with the events so far. The caller was trying to convince my wife that our computer was infected with a virus. She was confident that it wasn't. Her patience expired after almost 10 minutes...(read more)

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  • error with gtkmm 3 in ubuntu 12.04

    - by Grohiik
    i install libgtkmm-3.0-dev in ubuntu 12.04 and i try to learn and write program with c++ and gtkmm 3 i go to this link "http://developer.gnome.org/gtkmm-tutorial/unstable/sec-basics-simple-example.html.en" and try to compile simple example program : #include <gtkmm.h> int main(int argc, char *argv[]) { Glib::RefPtr<Gtk::Application> app = Gtk::Application::create(argc, argv, "org.gtkmm.examples.base"); Gtk::ApplicationWindow window; return app->run(window); } my file name is "basic.cc" and i open terminal and type following command to compile: g++ basic.cc -o basic `pkg-config gtkmm-3.0 --cflags --libs` compile completed without any error but when i try to run program with type ./basic in terminal i get following error : ~$ ./simple ./simple: symbol lookup error: ./simple: undefined symbol:_ZN3Gtk11Application6createERiRPPcRKN4Glib7ustringEN3Gio16ApplicationFlagsE ~$ how can i solve this problem ? i can cimpile any gtkmm 2.4 code with this command : " g++ basic.cc -o basic pkg-config gtkmm-3.0 --cflags --libs " and this command : " g++ basic.cc -o basic pkg-config gtkmm-2.4 --cflags --libs " thanks

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