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  • Unit and Integration testing: How can it become a reflex

    - by LordOfThePigs
    All the programmers in my team are familiar with unit testing and integration testing. We have all worked with it. We have all written tests with it. Some of us even have felt an improved sense of trust in his/her own code. However, for some reason, writing unit/integration tests has not become a reflex for any of the members of the team. None of us actually feel bad when not writing unit tests at the same time as the actual code. As a result, our codebase is mostly uncovered by unit tests, and projects enter production untested. The problem with that, of course is that once your projects are in production and are already working well, it is virtually impossible to obtain time and/or budget to add unit/integration testing. The members of my team and myself are already familiar with the value of unit testing (1, 2) but it doesn't seem to help bringing unit testing into our natural workflow. In my experience making unit tests and/or a target coverage mandatory just results in poor quality tests and slows down team members simply because there is no self-generated motivation to produce these tests. Also as soon as pressure eases, unit tests are not written any more. My question is the following: Is there any methods that you have experimented with that helps build a dynamic/momentum inside the team, leading to people naturally wanting to create and maintain those tests?

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  • Programming and Ubiquitous Language (DDD) in a non-English domain

    - by Sandor Drieënhuizen
    I know there are some questions already here that are closely related to this subject but none of them take Ubquitous Language as the starting point so I think that justifies this question. For those who don't know: Ubiquitous Language is the concept of defining a (both spoken and written) language that is equally used across developers and domain experts to avoid inconsistencies and miscommunication due to translation problems and misunderstanding. You will see the same terminology show up in code, conversations between any team member, functional specs and whatnot. So, what I was wondering about is how to deal with Ubiquitous Language in non-English domains. Personally, I strongly favor writing programming code in English completely, including comments but ofcourse excluding constants and resources. However, in a non-English domain, I'm forced to make a decision either to: Write code reflecting the Ubiquitous Language in the natural language of the domain. Translate the Ubiquitous Language to English and stop communicating in the natural language of the domain. Define a table that defines how the Ubiquitous Language translates to English. Here are some of my thoughts based on these options: 1) I have a strong aversion against mixed-language code, that is coding using type/member/variable names etc. that are non-English. Most programming languages 'breathe' English to a large extent and most of the technical literature, design pattern names etc. are in English as well. Therefore, in most cases there's just no way of writing code entirely in a non-English language so you end up with a mixed languages. 2) This will force the domain experts to start thinking and talking in the English equivalent of the UL, something that will probably not come naturally to them and therefore hinders communication significantly. 3) In this case, the developers communicate with the domain experts in their native language while the developers communicate with each other in English and most importantly, they write code using the English translation of the UL. I'm sure I don't want to go for the first option and I think option 3 is much better than option 2. What do you think? Am I missing other options?

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  • What is Java used for these days?

    - by Barry Brown
    Java is fifteen years old. It started life as an alternative to C++ with a comprehensive standard library. Riding on the coattails of the Internet boom, it was popular for writing web applets. Its supposed portability was touted as a way to write desktop apps that would run on any platform. Now it's 2010. Applets are long gone. Desktop apps are giving way to web and mobile apps. Scripting languages are very popular, as is Flash, especially among web-centric developers. People have been chanting "Java's death is near" for several years. Yet a quick job search shows that Java is still a desired skill among programmers. So what is Java used for these days? What kinds of apps are you writing in Java? This should give us an idea of the "state of Java" today. Has the Java tide shifted from Swing desktop apps to Android mobile apps? If you write programs in a JVM language (such as Scala or Groovy), mention it.

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  • LibGdx efficient data saving/loading?

    - by grimrader22
    Currently, my LibGDX game consists of a 512 x 512 map of Tiles and entities such as players and monsters. I am wondering how to efficiently save and load the data of my levels. At the moment I am using JSON serialization for each class I want to save. I implement the Json.Serializable interface for all of these classes and write only the variables that are necessary. So my map consists of 512 x 512 tiles, that's 260,000 tiles. Each tile on the map consists of a Tile object, which points to some final Tile object like a GRASS_TILE or a STONE_TILE. When I serialize each level tile, the final Tile that it points to is re-serialized over and over again, so if I have 100 Tiles all pointing to GRASS_TILE, the data of GRASS_TILE is written 100 times over. When I go to load/deserialize my objects, 100 GrassTile objects are created, but they are each their own object. They no longer point to the final tile object. I feel like this reading/writing files very slow. If I were to abandon JSON serialization, to my knowledge my next best option would be saving the level data to a sql database. Unless there is a way to speed up serializing/deserializing 260,000 tiles I may have to do this. Is this a good idea? Could I really write that many tiles to the database efficiently? To sum all this up, I am trying to save my levels using JSON serialization, but it is VERY slow. What other options do I have for saving the data of so many tiles. I also must note that the JSON serialization is not slow on a PC, it is only VERY slow on a mobile device. Since file writing/reading is so slow on mobile devices, what can I do?

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  • responsibility for storage

    - by Stefano Borini
    A colleague and I were brainstorming about where to put the responsibility of an object to store itself on the disk in our own file format. There are basically two choices: object.store(file) fileformatWriter.store(object) The first one gives the responsibility of serialization on the disk to the object itself. This is similar to the approach used by python pickle. The second groups the representation responsibility on a file format writer object. The data object is just a plain data container (eventually with additional methods not relevant for storage). We agreed on the second methodology, because it centralizes the writing logic from generic data. We also have cases of objects implementing complex logic that need to store info while the logic is in progress. For these cases, the fileformatwriter object can be passed and used as a delegate, calling storage operations on it. With the first pattern, the complex logic object would instead accept the raw file, and implement the writing logic itself. The first method, however, has the advantage that the object knows how to write and read itself from any file containing it, which may also be convenient. I would like to hear your opinion before starting a rather complex refactoring.

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  • How old is "too old"?

    - by Dori
    I've been told that to be taken seriously as a job applicant, I should drop years of relevant experience off my résumé, remove the year I got my degree, or both. Or not even bother applying, because no one wants to hire programmers older than them.1 Or that I should found a company, not because I want to, or because I have a product I care about, but because that way I can get a job if/when my company is acquired. Or that I should focus more on management jobs (which I've successfully done in the past) because… well, they couldn't really explain this one, except the implication was that over a certain age you're a loser if you're still writing code. But I like writing code. Have you seen this? Is this only a local (Northern California) issue? If you've ever hired programmers:2 Of the résumés you've received, how old was the eldest applicant? What was the age of the oldest person you've interviewed? How old (when hired) was the oldest person you hired? How old is "too old" to employed as a programmer? 1 I'm assuming all applicants have equivalent applicable experience. This isn't about someone with three decades of COBOL applying for a Java guru job. 2 Yes, I know that (at least in the US) you aren't supposed to ask how old an applicant is. In my experience, though, you can get a general idea from a résumé.

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  • Koans, now available in Python flavor

    - by Greg Malcolm
    Recently a Python developer friend with whom I was pair programming with suggested that I show him how to write a little Ruby. I responded by telling him to check out Ruby Koans as a starting point. However I wanted to try that in reverse at the same time with me learning some Python. I did a bit of googling, and sure enough someone had started writing some Python Koans. It just needed finishing... So, a few weeks later Python Koans is now complete and ready for action! It is available through Mercurial on Bitbucket: http://bitbucket.org/gregmalcolm/python_koans/wiki/Home It is also mirrored on Github: http://wiki.github.com/gregmalcolm/python_koans/ Converting it was fairly easy. Aside from the differing philosophical approaches behind the two languages, Ruby and Python are fairly similar. We had to come up with completely new material for a few subjects like multiple inheritance and decorators, but for most features in Ruby there is something roughly comparable in Python. I highly recommend writing tests (or koans) as a means to lean a new language or framework. I've learned a lot from doing this.

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  • Why are we as an industry not more technically critical of our peers? [closed]

    - by Jarrod Roberson
    For example: I still see people in 2011 writing blog posts and tutorials that promote setting the Java CLASSPATH at the OS environment level. I see people writing C and C++ tutorials dated 2009 and newer and the first lines of code are void main(). These are examples, I am not looking for specific answers to the above questions, but to why the culture of accepting sub-par knowledge in the industry is so rampant. I see people posting these same type of empirically wrong suggestions as answers on www.stackoverflow.com and they get lots of up votes and practically no down votes! The ones that get lots of down votes are usually from answering a question that wasn't asked because of lack of reading for comprehension skills, and not incorrect answers per se. Is our industry that ignorant as a whole, I can understand the internet in general being lazy, apathetic and un-informed but our industry should be more on top of things like this and way more critical of people that are promoting bad habits and out-dated techniques and information. If we are really an engineering discipline, why aren't people held to a higher standard as they are in other engineering disciplines? I want to know why people accept bad advice, poor practices as the norm and are not more critical of their peers in the software industry.?

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  • How to get initial API right using TDD?

    - by Vytautas Mackonis
    This might be a rather silly question as I am at my first attempts at TDD. I loved the sense of confidence it brings and generally better structure of my code but when I started to apply it on something bigger than one-class toy examples, I ran into difficulties. Suppose, you are writing a library of sorts. You know what it has to do, you know a general way of how it is supposed to be implemented (architecture wise), but you keep "discovering" that you need to make changes to your public API as you code. Perhaps you need to transform this private method into strategy pattern (and now need to pass a mocked strategy in your tests), perhaps you misplaced a responsibility here and there and split an existing class. When you are improving upon existing code, TDD seems a really good fit, but when you are writing everything from scratch, the API you write tests for is a bit "blurry" unless you do a big design up front. What do you do when you already have 30 tests on the method that had its signature (and for that part, behavior) changed? That is a lot of tests to change once they add up.

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  • Seeking an C/C++ OBJ geometry read/write that does not modify the representation

    - by Blake Senftner
    I am seeking a means to read and write OBJ geometry files with logic that does not modify the geometry representation. i.e. read geometry, immediately write it, and a diff of the source OBJ and the one just written will be identical. Every OBJ writing utility I've been able to find online fails this test. I am writing small command line tools to modify my OBJ geometries, and I need to write my results, not just read the geometry for rendering purposes. Simply needing to write the geometry knocks out 95% of the OBJ libraries on the web. Also, many of the popular libraries modify the geometry representation. For example, Nat Robbin's GLUT library includes the GLM library, which both converts quads to triangles, as well as reverses the topology (face ordering) of the geometry. It's still the same geometry, but if your tool chain expects a given topology, such as for rigging or morph targets, then GLM is useless. I'm not rendering in these tools, so dependencies like OpenGL or GLUT make no sense. And god forbid, do not "optimize" the geometry! Redundant vertices are on purpose for maintaining oneself on cache with our weird little low memory mobile devices.

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  • Which approach would lead to an API that is easier to use?

    - by Clem
    I'm writing a JavaScript API and for a particular case, I'm wondering which approach is the sexiest. Let's take an example: writing a VideoPlayer, I add a getCurrentTime method which gives the elapsed time since the start. The first approach simply declares getCurrentTime as follows: getCurrentTime():number where number is the native number type. This approach includes a CURRENT_TIME_CHANGED event so that API users can add callbacks to be aware of time changes. Listening to this event would look like the following: myVideoPlayer.addEventListener(CURRENT_TIME_CHANGED, function(evt){ console.log ("current time = "+evt.getDispatcher().getCurrentTime()); }); The second approach declares getCurrentTime differently: getCurrentTime():CustomNumber where CustomNumber is a custom number object, not the native one. This custom object dispatches a VALUE_CHANGED event when its value changes, so there is no need for the CURRENT_TIME_CHANGED event! Just listen to the returned object for value changes! Listening to this event would look like the following: myVideoPlayer.getCurrentTime().addEventListener(VALUE_CHANGED, function(evt){ console.log ("current time = "+evt.getDispatcher().valueOf()); }); Note that CustomNumber has a valueOf method which returns a native number that lets the returned CustomNumber object being used as a number, so: var result = myVideoPlayer.getCurrentTime()+5; will work! So in the first approach, we listen to an object for a change in its property's value. In the second one we directly listen to the property for a change on its value. There are multiple pros and cons for each approach, I just want to know which one the developers would prefer to use!

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  • OOP for unit testing : The good, the bad and the ugly

    - by Jeff
    I have recently read Miško Hevery's pdf guide to writing testable code in which its stated that you should limit your classes instanciations in your constructors. I understand that its what you should do because it allow you to easily mock you objects that are send as parameters to your class. But when it comes to writing actual code, i often end up with things like that (exemple is in PHP using Zend Framework but I think it's self explanatory) : class Some_class { private $_data; private $_options; private $_locale; public function __construct($data, $options = null) { $this->_data = $data; if ($options != null) { $this->_options = $options; } $this->_init(); } private function _init() { if(isset($this->_options['locale'])) { $locale = $this->_options['locale']; if ($locale instanceof Zend_Locale) { $this->_locale = $locale; } elseif (Zend_Locale::isLocale($locale)) { $this->_locale = new Zend_Locale($locale); } else { $this->_locale = new Zend_Locale(); } } } } Acording to my understanding of Miško Hevery's guide, i shouldn't instanciate the Zend_Local in my class but push it through the constructor (Which can be done through the options array in my example). I am wondering what would be the best practice to get the most flexibility for unittesing this code and aswell, if I want to move away from Zend Framework. Thanks in advance

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  • Can I assume interface oriented programming as a good object oriented programming?

    - by david
    I have been programming for decades but I have not been used to object oriented programming. But for recenet years, I had a great opportunity to learn OOP, its principles, and a lot of patterns that are great. Since I've learned OOP, I tried to apply them to a couple of projects and found those projects successful. Unfortunately I didn't follow extreme programming that suggests writing test first, mainly because their time frame were tight. What I did for those projects were Identify all necessary classes and create them with proper properties and methods whenever there is dependency between classes, write interface between them see if there is any patterns for certain relationships between classes to replace By successful, I meant that it was quick development effort, the classes can be reused better, and flexible enough so that another programmer does not have to change something else to fix another part. But I wonder if this is a good practice. Of course, I know I need to put writing unit tests first in my work process. But other than that, is there any problem with this approach - creating lots of interfaces - in long term?

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  • SharePoint 2010 Video Training

    - by Sahil Malik
    Ad:: SharePoint 2007 Training in .NET 3.5 technologies (more information). Yes, the DVD is finally available. This is an exhaustive 14 hour video course that Carl and I recorded back in April. It is an end-to-end overview of SharePoint 2010. You can view more details including ordering information about the DVD here. And if you’re interested, a SharePoint 2007 video training version is also available. Carl and I worked quite hard on putting these together, so we hope you enjoy these. Detailed Table of Contents: Introduction (13:49) 30,000 Foot Overview (42:07) Application Management (43:35) User Experience (16:00) Writing Code Part 1 (1:07:49) Writing Code Part 2 (34:41) Simple Web Parts (14:01) Visual Web Parts (6:35) Pages (35:02) Putting it All Together (29:13) Client Side Technology (49:19) ADO.NET Data Services (51:29) Custom Data Services (43:30) Managing Data (29:02) Managing Data: Content Types (17:11) Managing Data: Events (19:22) Managing Data: List Scalability (35:51) Managing Data: Querying (20:07) Enterprise Content Management: DocumentIDs and Document Sets (16:44) Enterprise Content Management: Metadata Infrastructure (22:13) Enterprise Content Management: Record Management (26:27) Enterprise Content Management: Content Organizer (7:21) Enterprise Content Management: Enterprise Content Types (11:21) Business Connectivity Services (BCS) in the SharePoint Designer (26:09) BCS in Visual Studio (9:57) Workflows in the SharePoint Designer (22:07) Workflows in Visual Studio (19:01) Business Intelligence (21:14) Excel (15:25) Performance Point (24:37) Security: Claims-Based Authentication (27:13) Security: Secure Store Service (11:04) Security: The SharePoint Object Model (11:16) Comment on the article ....

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  • Software development is (mostly) a trade, and what to do about it

    - by Jeff
    (This is another cross-post from my personal blog. I don’t even remember when I first started to write it, but I feel like my opinion is well enough baked to share.) I've been sitting on this for a long time, particularly as my opinion has changed dramatically over the last few years. That I've encountered more crappy code than maintainable, quality code in my career as a software developer only reinforces what I'm about to say. Software development is just a trade for most, and not a huge academic endeavor. For those of you with computer science degrees readying your pitchforks and collecting your algorithm interview questions, let me explain. This is not an assault on your way of life, and if you've been around, you know I'm right about the quality problem. You also know the HR problem is very real, or we wouldn't be paying top dollar for mediocre developers and importing people from all over the world to fill the jobs we can't fill. I'm going to try and outline what I see as some of the problems, and hopefully offer my views on how to address them. The recruiting problem I think a lot of companies are doing it wrong. Over the years, I've had two kinds of interview experiences. The first, and right, kind of experience involves talking about real life achievements, followed by some variation on white boarding in pseudo-code, drafting some basic system architecture, or even sitting down at a comprooder and pecking out some basic code to tackle a real problem. I can honestly say that I've had a job offer for every interview like this, save for one, because the task was to debug something and they didn't like me asking where to look ("everyone else in the company died in a plane crash"). The other interview experience, the wrong one, involves the classic torture test designed to make the candidate feel stupid and do things they never have, and never will do in their job. First they will question you about obscure academic material you've never seen, or don't care to remember. Then they'll ask you to white board some ridiculous algorithm involving prime numbers or some kind of string manipulation no one would ever do. In fact, if you had to do something like this, you'd Google for a solution instead of waste time on a solved problem. Some will tell you that the academic gauntlet interview is useful to see how people respond to pressure, how they engage in complex logic, etc. That might be true, unless of course you have someone who brushed up on the solutions to the silly puzzles, and they're playing you. But here's the real reason why the second experience is wrong: You're evaluating for things that aren't the job. These might have been useful tactics when you had to hire people to write machine language or C++, but in a world dominated by managed code in C#, or Java, people aren't managing memory or trying to be smarter than the compilers. They're using well known design patterns and techniques to deliver software. More to the point, these puzzle gauntlets don't evaluate things that really matter. They don't get into code design, issues of loose coupling and testability, knowledge of the basics around HTTP, or anything else that relates to building supportable and maintainable software. The first situation, involving real life problems, gives you an immediate idea of how the candidate will work out. One of my favorite experiences as an interviewee was with a guy who literally brought his work from that day and asked me how to deal with his problem. I had to demonstrate how I would design a class, make sure the unit testing coverage was solid, etc. I worked at that company for two years. So stop looking for algorithm puzzle crunchers, because a guy who can crush a Fibonacci sequence might also be a guy who writes a class with 5,000 lines of untestable code. Fashion your interview process on ways to reveal a developer who can write supportable and maintainable code. I would even go so far as to let them use the Google. If they want to cut-and-paste code, pass on them, but if they're looking for context or straight class references, hire them, because they're going to be life-long learners. The contractor problem I doubt anyone has ever worked in a place where contractors weren't used. The use of contractors seems like an obvious way to control costs. You can hire someone for just as long as you need them and then let them go. You can even give them the work that no one else wants to do. In practice, most places I've worked have retained and budgeted for the contractor year-round, meaning that the $90+ per hour they're paying (of which half goes to the person) would have been better spent on a full-time person with a $100k salary and benefits. But it's not even the cost that is an issue. It's the quality of work delivered. The accountability of a contractor is totally transient. They only need to deliver for as long as you keep them around, and chances are they'll never again touch the code. There's no incentive for them to get things right, there's little incentive to understand your system or learn anything. At the risk of making an unfair generalization, craftsmanship doesn't matter to most contractors. The education problem I don't know what they teach in college CS courses. I've believed for most of my adult life that a college degree was an essential part of being successful. Of course I would hold that bias, since I did it, and have the paper to show for it in a box somewhere in the basement. My first clue that maybe this wasn't a fully qualified opinion comes from the fact that I double-majored in journalism and radio/TV, not computer science. Eventually I worked with people who skipped college entirely, many of them at Microsoft. Then I worked with people who had a masters degree who sucked at writing code, next to the high school diploma types that rock it every day. I still think there's a lot to be said for the social development of someone who has the on-campus experience, but for software developers, college might not matter. As I mentioned before, most of us are not writing compilers, and we never will. It's actually surprising to find how many people are self-taught in the art of software development, and that should reveal some interesting truths about how we learn. The first truth is that we learn largely out of necessity. There's something that we want to achieve, so we do what I call just-in-time learning to meet those goals. We acquire knowledge when we need it. So what about the gaps in our knowledge? That's where the most valuable education occurs, via our mentors. They're the people we work next to and the people who write blogs. They are critical to our professional development. They don't need to be an encyclopedia of jargon, but they understand the craft. Even at this stage of my career, I probably can't tell you what SOLID stands for, but you can bet that I practice the principles behind that acronym every day. That comes from experience, augmented by my peers. I'm hell bent on passing that experience to others. Process issues If you're a manager type and don't do much in the way of writing code these days (shame on you for not messing around at least), then your job is to isolate your tradespeople from nonsense, while bringing your business into the realm of modern software development. That doesn't mean you slap up a white board with sticky notes and start calling yourself agile, it means getting all of your stakeholders to understand that frequent delivery of quality software is the best way to deal with change and evolving expectations. It also means that you have to play technical overlord to make sure the education and quality issues are dealt with. That's why I make the crack about sticky notes, because without the right technique being practiced among your code monkeys, you're just a guy with sticky notes. You're asking your business to accept frequent and iterative delivery, now make sure that the folks writing the code can handle the same thing. This means unit testing, the right instrumentation, integration tests, automated builds and deployments... all of the stuff that makes it easy to see when change breaks stuff. The prognosis I strongly believe that education is the most important part of what we do. I'm encouraged by things like The Starter League, and it's the kind of thing I'd love to see more of. I would go as far as to say I'd love to start something like this internally at an existing company. Most of all though, I can't emphasize enough how important it is that we mentor each other and share our knowledge. If you have people on your staff who don't want to learn, fire them. Seriously, get rid of them. A few months working with someone really good, who understands the craftsmanship required to build supportable and maintainable code, will change that person forever and increase their value immeasurably.

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  • What is the difference between Callback<T> and Java 8's Supplier<T>?

    - by Dan Pantry
    I've been switching over to Java from C# after some recommendations from some over at CodeReview. So, when I was looking into LWJGL, one thing I remembered was that every call to Display must be executed on the same thread that the Display.create() method was invoked on. Remembering this, I whipped up a class that looks a bit like this. public class LwjglDisplayWindow implements DisplayWindow { private final static int TargetFramesPerSecond = 60; private final Scheduler _scheduler; public LwjglDisplayWindow(Scheduler displayScheduler, DisplayMode displayMode) throws LWJGLException { _scheduler = displayScheduler; Display.setDisplayMode(displayMode); Display.create(); } public void dispose() { Display.destroy(); } @Override public int getTargetFramesPerSecond() { return TargetFramesPerSecond; } @Override public Future<Boolean> isClosed() { return _scheduler.schedule(() -> Display.isCloseRequested()); } } While writing this class you'll notice that I created a method called isClosed() that returns a Future<Boolean>. This dispatches a function to my Scheduler interface (which is nothing more than a wrapper around an ScheduledExecutorService. While writing the schedule method on the Scheduler I noticed that I could either use a Supplier<T> argument or a Callable<T> argument to represent the function that is passed in. ScheduledExecutorService didn't contain an override for Supplier<T> but I noticed that the lambda expression () -> Display.isCloseRequested() is actually type compatible with both Callable<bool> and Supplier<bool>. My question is, is there a difference between those two, semantically or otherwise - and if so, what is it, so I can adhere to it?

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  • Making LISPs manageable

    - by Andrea
    I am trying to learn Clojure, which seems a good candidate for a successful LISP. I have no problem with the concepts, but now I would like to start actually doing something. Here it comes my problem. As I mainly do web stuff, I have been looking into existing frameworks, database libraries, templating libraries and so on. Often these libraries are heavily based on macros. Now, I like very much the possibility of writing macros to get a simpler syntax than it would be possible otherwise. But it definitely adds another layer of complexity. Let me take an example of a migration in Lobos from a blog post: (defmigration add-posts-table (up [] (create clogdb (table :posts (integer :id :primary-key ) (varchar :title 250) (text :content ) (boolean :status (default false)) (timestamp :created (default (now))) (timestamp :published ) (integer :author [:refer :authors :id] :not-null)))) (down [] (drop (table :posts )))) It is very readable indeed. But it is hard to recognize what the structure is. What does the function timestamp return? Or is it a macro? Having all this freedom of writing my own syntax means that I have to learn other people's syntax for every library I want to use. How can I learn to use these components effectively? Am I supposed to learn each small DSL as a black box?

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  • SQL SERVER – Using RAND() in User Defined Functions (UDF)

    - by pinaldave
    Here is the question I received in email. “Pinal, I am writing a function where we need to generate random password. While writing T-SQL I faced following issue. Everytime I tried to use RAND() function in my User Defined Function I am getting following error: Msg 443, Level 16, State 1, Procedure RandFn, Line 7 Invalid use of a side-effecting operator ‘rand’ within a function. Here is the simplified T-SQL code of the function which I am using: CREATE FUNCTION RandFn() RETURNS INT AS BEGIN DECLARE @rndValue INT SET @rndValue = RAND() RETURN @rndValue END GO I must use UDF so is there any workaround to use RAND function in UDF.” Here is the workaround how RAND() can be used in UDF. The scope of the blog post is not to discuss the advantages or disadvantages of the function or random function here but just to show how RAND() function can be used in UDF. RAND() function is directly not allowed to use in the UDF so we have to find alternate way to use the same function. This can be achieved by creating a VIEW which is using RAND() function and use the same VIEW in the UDF. Here is the step by step instructions. Create a VIEW using RAND function. CREATE VIEW rndView AS SELECT RAND() rndResult GO Create a UDF using the same VIEW. CREATE FUNCTION RandFn() RETURNS DECIMAL(18,18) AS BEGIN DECLARE @rndValue DECIMAL(18,18) SELECT @rndValue = rndResult FROM rndView RETURN @rndValue END GO Now execute the UDF and it will just work fine and return random result. SELECT dbo.RandFn() GO In T-SQL world, I have noticed that there are more than one solution to every problem. Is there any better solution to this question? Please post that question as a comment and I will include it with due credit. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Function, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: technology

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  • Masters vs. PhD - long [closed]

    - by Sterling
    I'm 21 years old and a first year master's computer science student. Whether or not to continue with my PhD has been plaguing me for the past few months. I can't stop thinking about it and am extremely torn on the issue. I have read http://www.cs.unc.edu/~azuma/hitch4.html and many, many other masters vs phd articles on the web. Unfortunately, I have not yet come to a conclusion. I was hoping that I could post my ideas about the issue on here in hopes to 1) get some extra insight on the issue and 2) make sure that I am correct in my assumptions. Hopefully having people who have experience in the respective fields can tell me if I am wrong so I don't make my decision based on false ideas. Okay, to get this topic out of the way - money. Money isn't the most important thing to me, but it is still important. It's always been a goal of mine to make 6 figures, but I realize that will probably take me a long time with either path. According to most online salary calculating sites, the average starting salary for a software engineer is ~60-70k. The PhD program here is 5 years, so that's about 300k I am missing out on by not going into the workforce with a masters. I have only ever had ~1k at one time in my life so 300k is something I can't even really accurately imagine. I know that I wouldn't have at once obviously, but just to know I would be earning that is kinda crazy to me. I feel like I would be living quite comfortably by the time I'm 30 years old (but risk being too content too soon). I would definitely love to have at least a few years of my 20s to spend with that kind of money before I have a family to spend it all on. I haven't grown up very financially stable so it would be so nice to just spend some money…get a nice car, buy a new guitar or two, eat some good food, and just be financially comfortable. I have always felt like I deserved to make good money in my life, even as a kid growing up, and I just want to have it be a reality. I know that either path I take will make good money by the time I'm ~40-45 years old, but I guess I'm just sick of not making money and am getting impatient about it. However, a big idea pushing me towards a PhD is that I feel the masters path would give me a feeling of selling out if I have the capability to solve real questions in the computer science world. (pretty straight-forward - not much to elaborate on, but this is a big deal) Now onto other aspects of the decision. I originally got into computer science because of programming. I started in high school and knew very soon that it was what I wanted to do for a career. I feel like getting a masters and being a software engineer in the industry gives me much more time to program in my career. In research, I feel like I would spend more time reading, writing, trying to get grant money, etc than I would coding. A guy I work with in the lab just recently published a paper. He showed it to me and I was shocked by it. The first two pages was littered with equations and formulas. Then the next page or so was followed by more equations and formulas that he derived from the previous ones. That was his work - breaking down and creating all of these formulas for robotic arm movement. And whenever I read computer science papers, they all seem to follow this pattern. I always pictured myself coding all day long…not proving equations and things of that nature. I know that's only one part of computer science research, but that part bores me. A couple cons on each side - Phd - I don't really enjoy writing or feel like I'm that great at technical writing. Whenever I'm in groups to make something, I'm always the one who does the large majority of the work and then give it to my team members to write up a report. Presenting is different though - I don't mind presenting at all as long as I have a good grasp on what I am presenting. But writing papers seems like such a chore to me. And because of this, the "publish or perish" phrase really turns me off from research. Another bad thing - I feel like if I am doing research, most of it would be done alone. I work best in small groups. I like to have at least one person to bounce ideas off of when I am brainstorming. The idea of being a part of some small elite group to build things sounds ideal to me. So being able to work in small groups for the majority of my career is a definite plus. I don't feel like I can get this doing research. Masters - I read a lot online that most people come in as engineers and eventually move into management positions. As of now, I don't see myself wanting to be a part of management. Lets say my company wanted to make some new product or system - I would get much more pride, enjoyment, and overall satisfaction to say "I made this" rather than "I managed a group of people that made this." I want to be a big part of the development process. I want to make things. I think it would be great to be more specialized than other people. I would rather know everything about something than something about everything. I always have been that way - was a great pitcher during my baseball years, but not so good at everything else, great at certain classes in school, but not so good at others, etc. To think that my career would be the same way sounds okay to me. Getting a PhD would point me in this direction. It would be great to be some guy who is someone that people look towards and come to ask for help because of being such an important contributor to a very specific field, such as artificial neural networks or robotic haptic perception. From what I gather about the software industry, being specialized can be a very bad thing because of the speed of the new technology. I When it comes to being employed, I have pretty conservative views. I don't want to change companies every 5 years. Maybe this is something everyone wishes, but I would love to just be an important person in one company for 10+ (maybe 20-25+ if I'm lucky!) years if the working conditions were acceptable. I feel like that is more possible as a PhD though, being a professor or researcher. The more I read about people in the software industry, the more it seems like most software engineers bounce from company to company at rapid paces. Some even work like a hired gun from project to project which is NOT what I want AT ALL. But finding a place to make great and important software would be great if that actually happens in the real world. I'm a very competitive person. I thrive on competition. I don't really know why, but I have always been that way even as a kid growing up. Competition always gave me a reason to practice that little extra every night, always push my limits, etc. It seems to me like there is no competition in the research world. It seems like everyone is very relaxed as long as research is being conducted. The only competition is if someone is researching the same thing as you and its whoever can finish and publish first (but everyone seems to careful to check that circumstance). The only noticeable competition to me is just with yourself and your own discipline. I like the idea that in the industry, there is real competition between companies to put out the best product or be put out of business. I feel like this would constantly be pushing me to be better at what I do. One thing that is really pushing me towards a PhD is the lifetime of the things you make. I feel like if you make something truly innovative in the industry…just some really great new application or system…there is a shelf-life of about 5-10 years before someone just does it faster and more efficiently. But with research work, you could create an idea or algorithm that last decades. For instance, the A* search algorithm was described in 1968 and is still widely used today. That is amazing to me. In the words of Palahniuk, "The goal isn't to live forever, its to create something that will." Over anything, I just want to do something that matters. I want my work to help and progress society. Seriously, if I'm stuck programming GUIs for the next 40 years…I might shoot myself in the face. But then again, I hate the idea that less than 1% of the population will come into contact with my work and even less understand its importance. So if anything I have said is false then please inform me. If you think I come off as a masters or PhD, inform me. If you want to give me some extra insight or add on to any point I made, please do. Thank you so much to anyone for any help.

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  • Where to go after having a good grasp of a language?

    - by Alex M.
    I have been programming as a hobby for the past few years now (most of high school and 1 year in cs in college) and although I've came to the conclusion that a career in CS isn't for me I switched over to math (which pairs what I love about programming with my interest in physical sciences) but I miss writing code. Recently I've had an interest in low-level programming. Understanding how compilers work, learning some basics of assembly language and trying to get out of my comfort zone. The problem is that since I've been out of the CS programs, I'm not faced with much opportunities to write code. I do intend to take a few CS classes in college (a lot of CS stuff is opened to math majors) but that won't come for until next year. So I ask: What are the steps to take in order to keep improving as a programmer once you're passed the basic steps? How do you find projects to keep you going? Beside my newly discovered interest in assembly language, I've been writing code in C and have been interested in FOSS. Thanks!

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  • Can Clojure's thread-based agents handle c10k performance?

    - by elliot42
    I'm writing a c10k-style service and am trying to evaluate Clojure's performance. Can Clojure agents handle this scale of concurrency with its thread-based agents? Other high performance systems seem to be moving towards async-IO/events/greenlets, albeit at a seemingly higher complexity cost. Suppose there are 10,000 clients connected, sending messages that should be appended to 1,000 local files--the Clojure service is trying to write to as many files in parallel as it can, while not letting any two separate requests mangle the same single file by writing at the same time. Clojure agents are extremely elegant conceptually--they would allow separate files to be written independently and asynchronously, while serializing (in the database sense) multiple requests to write to the same file. My understanding is that agents work by starting a thread for each operation (assume we are IO-bound and using send-off)--so in this case is it correct that it would start 1,000+ threads? Can current-day systems handle this number of threads efficiently? Most of them should be IO-bound and sleeping most of the time, but I presume there would still be a context-switching penalty that is theoretically higher than async-IO/event-based systems (e.g. Erlang, Go, node.js). If the Clojure solution can handle the performance, it seems like the most elegant thing to code. However if it can't handle the performance then something like Erlang or Go's lightweight processes might be preferable, since they are designed to have tens of thousands of them spawned at once, and are only moderately more complex to implement. Has anyone approached this problem in Clojure or compared to these other platforms? (Thanks for your thoughts!)

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  • Are there any concrete examples of where a paralellizing compiler would provide a value-adding benefit?

    - by jamie
    Paul Graham argues that: It would be great if a startup could give us something of the old Moore's Law back, by writing software that could make a large number of CPUs look to the developer like one very fast CPU. ... The most ambitious is to try to do it automatically: to write a compiler that will parallelize our code for us. There's a name for this compiler, the sufficiently smart compiler, and it is a byword for impossibility. But is it really impossible? Can someone provide a concrete example where a paralellizing compiler would solve a pain point? Web-apps don't appear to be a problem: just run a bunch of Node processes. Real-time raytracing isn't a problem: the programmers are writing multi-threaded, SIMD assembly language quite happily (indeed, some might complain if we make it easier!). The holy grail is to be able to accelerate any program, be it MySQL, Garage Band, or Quicken. I'm looking for a middle ground: is there a real-world problem that you have experienced where a "smart-enough" compiler would have provided a real benefit, i.e that someone would pay for? A good answer is one where there is a process where the computer runs at 100% CPU on a single core for a painful period of time. That time might be 10 seconds, if the task is meant to be quick. It might be 500ms if the task is meant to be interactive. It might be 10 hours. Please describe such a problem. Really, that's all I'm looking for: candidate areas for further investigation. (Hence, raytracing is off the list because all the low-hanging fruit have been feasted upon.) I am not interested in why it cannot be done. There are a million people willing to point to the sound reasons why it cannot be done. Such answers are not useful.

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  • Can't shutdown Ubuntu (Wubi Installation)

    - by zsgre3nd3s7
    I downloaded Ubuntu 12.04 using Wubi. The installation went correctly and everything was working fine until I tried to shutdown. I clicked shutdown and then Ubuntu started shutdown, but as soon as I saw the Ubuntu logo with blank dots under, it froze. I had to perform a hard shutdown. After booting my computer back and going into Ubuntu, I tried shutting it down again but this time it took me on a black page with lots and lots of log writing on the screen and after a little while, it stopped writing stuff. I was able to input characters using the keyboard and everything, but it never shutdown. I had to perform a hard shutdown again. Now it always gives me a Ubuntu logo and freezes. What should I do? I know hard shutdowns are bad and want to avoid them. Is there anyway to make shutdowns work? I tried a reboot and it also froze on the Ubuntu logo. Sony VAIO Model E SVE17115FDB Laptop. Graphic card - AMD RADEON HD 7650M (and it installed correctly in Ubuntu). BIOS - H2O Bios. Processor - Intel i7-3612QM. Edit: I only installed the AMD/ATI proprietary drivers FGLRX, not the AMD/ATI post release drivers because they keep showing an error message. Here is jockey.log. Edit 2: Here is the log that i mentioned before that appeared on my screen, it appeared after i tried reinstalling my AMD driver but failed so i reinstalled the other one. Sorry for the quality i took those pictures with my phone.

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  • I know how to program, and how to learn how to program, but how/where do you learn how to make systems properly?

    - by Ryan
    There are many things that need to be considered when making a system, let's take for example a web based system where users log in and interact with each other, creating and editing content. Now I have to think about security, validation (I don't even think I am 100% sure what that entails), "making sure users don't step on each others feet" (term for this?), preventing errors in many cases, making sure database data doesn't become problematic through unexpected... situations? All these things I don't know how or where to learn, is there a book on this kind of stuff? Like I said there seems to be a huge difference between writing code and actually writing the right code, know what I mean? I feel like my current programming work lacks much of what I have described and I can see the problems it causes later, and then the problems are much harder to solve because data exists and people are using it. So can anyone point me to books or resources or the proper subset of programming(?) for this type of learning? PS: feel free to correct my tags, I don't know what I am talking about. Edit: I assume some of the examples I wrote apply to other types of systems too, I just don't know any other good examples because I've been mostly involved in web work.

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  • Tools for game script / storyboard

    - by Pietro Polsinelli
    I am searching for a tool that will help in writing a game script. By "script" I mean the text core of a storyboard - without the drawing drafts, which may or may not be there (yet). What I'm thinking of will let write a piece of text of the script, define a simplified workflow from that step, and then define the text of next steps, and so on. Searching online, I found Inform http://inform7.com/ ("A Design System for Interactive Fiction Based on Natural Language") which in theory is exactly what I am searching for, but trying to use it it has this model of a space (a dungeon, a library) where you are picking up objects and exploring them. In my case I am designing more a Sims like game, the flow is entirely different. Considering non specific software, mind mapping tools miss the linearity of the process. What I am writing is a directed graph - simply a work-flow, but the way I want to design it is more text based than work-flow based. SO what I'm doing now is using a text editor, which I'll transform directly in code. Any suggestions?

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