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  • Make your TSQL easier to read during a presentation

    - by fatherjack
    SQL Server Management Studio 2012 has some neat settings that you can use to help your presentations at a SQL event better for the attendees if you are willing to spend a few minutes making some settings changes. Historically, I have been reluctant to make changes to my SSMS settings as it is such a tedious process and it's not 100% clear that what you think you are changing is actually what gets changed. With SSMS 2012 this has become a lot easier and a...(read more)

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  • Welcome to the Red Gate BI Tools Team blog!

    - by BI Tools Team
    Welcome to the first ever post on the brand new Red Gate Business Intelligence Tools Team blog! About the team Nick Sutherland (product manager): After many years as a software developer and project manager, Nick took an MBA and turned to product marketing. SSAS Compare is his second lean startup product (the first being SQL Connect). Follow him on Twitter. David Pond (developer): Before he joined Red Gate in 2011, David made monitoring systems for Goodyear. Follow him on Twitter. Jonathan Watts (tester): Jonathan became a tester after finishing his media degree and joining Xerox. He joined Red Gate in 2004. Follow him on Twitter. James Duffy (technical author): After a spell as a writer in the video game industry, James lived briefly in Tokyo before returning to the UK to start at Red Gate. What we're working on We launched a beta of our first tool, SSAS Compare, last month. It works like SQL Compare but for SSAS cubes, letting you deploy just the changes you want. It's completely free (for now), so check it out. We're still working on it, and we're eager to hear what you think. We hope SSAS Compare will be the first of several tools Red Gate develops for BI professionals, so keep an eye out for more from us in the future. Why we need you This is your chance to help influence the course of SSAS Compare and our future BI tools. If you're a business intelligence specialist, we want to hear about the problems you face so we can build tools that solve them. What do you want to see? Tell us! We'll be posting more about SSAS Compare, business intelligence and our journey into BI in the coming days and weeks. Stay tuned!

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  • SQL Excursions

    - by Grant Fritchey
    Not everyone likes boats. Some people like hanging out, on dry land, maybe sipping a good wine. Interested in doing that AND learning some new stuff about SQL Server? Then you might want to check out SQL Excursions. Denny Cherry (blog|twitter), MVP and terribly sharp individual, has organized this new venture to supply small group training in combination with travel to interesting, and let's face it, comfortable, places. The first trip is already set for Napa Valley. The training will be by Denny and MVP, author, and all round great guy, Thomas LaRock (blog|twitter). Seats for this unique event are going fast. I'd suggest signing up soon. Oh, and did I forget to mention that Red Gate is sponsoring dinner at a fine restaurant? Well, consider it mentioned. Seriously, nice wine, great training, beautiful scenery, networking, all in one place. What are you waiting for?

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  • Getting the right results with bcp and DTS with multiple versions of SQL Server installed.

    - by fatherjack
    I was using SSIS for the first time on an instance the other day and came across this error when I executed a package Package migration from version 3 to version 2 failed with error 0xC001700A. The version number in the package is not valid. The version number cannot be greater than current version number. This was a pain and wasn't something that I was expecting, however, the error message made sense - the package was being executed by the wrong version of the executable. Not impossible to...(read more)

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  • Expanding Influence and Community

    - by Johnm
    When I was just nine years of age my father introduced me to the computer. It was a Radio Shack TRS-80 Color Computer (aka: CoCo). He shared with me the nuances of writing BASIC and it wasn't long before I was in the back seat of the school bus scribbling, on a pad of paper, the code I would later type. My father demonstrated that while my friends were playing their Atari 2600 consoles, I had the unique opportunity to create my own games on the Coco. One of which provided a great friend of mine hours and hours of hilarity and entertainment. It wasn't long before my father was inviting me to tag along as he drove to the local high school where a gathering of fellow Coco enthusiasts assembled. In these meetings all in attendance would chat about their latest challenges and solutions. They would swap the labors of their sleepless nights eagerly gazing into their green and black screens. Friendships were built and business partners were developed. While these experiences at the time in my pre-teen mind were chalked up to simply sharing time with my father, it had a tremendous impact on me later in life. This past weekend I attended the Louisville SQL Saturday (#45). It was great to see that there were some who brought along their children. It is encouraging to see fresh faces in the crowd at our  monthly IndyPASS meetings. Each time I see the youthful eyes peering from the audience while the finer details of SQL Server is presented, I cannot help but to be transported back to the experiences that I enjoyed in those Coco days. It is exciting to think of how these experiences are impacting their lives and stimulating their minds. Some of these children have actually approached me asking questions about what was presented or simply bragging about their latest discovery in programming. One of the topics that arose in the "Women in Technology" session in Louisville, which was masterfully facilitated by Kathi Kellenberger, was exploring how we could ignite the spark of interest in databases among the youth. It was awesome to hear that there were some that volunteer their time to share their experiences with students. It made me wonder what user groups could achieve if we were to consider expanding our influence and community beyond our immediate peers to include those who are simply enjoying their time with their father or mother.

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  • Obscure SPUtility.SendMail Behavior When Manually Passing in Mail Headers

    - by Damon
    There are two ways to send mail in SharePoint: you can either use the mail components from the System.Net namespace, or you can send email using SharePoint's SPUtility.SendMail method.  One of the benefits of the SPUtility.SendMail method is that it uses the mail configuration from SharePoint, so you can manage settings in Central Administration instead of having to go through and modify your web.config file.  SPUtility.SendMail can get the job done, but it's defiantly not as developer friendly as the components from the System.Net namespace.  If you want to CC someone on an email, for example, you do NOT have a nice CC parameter - you have to manually add the CC mail header and pass it into the SPUtility.SendMail method.  I had to do this the other day, and ran into a really obscure issue. If you do NOT pass the headers into the method then SharePoint sends the email using the From Address configured in the Outgoing Mail settings in Central Admin.  If you pass headers into the method, but do not include the from header, then SharePoint sends the mail using the email address of the current user. This can be an issue if your mail server is setup to reject an email from an invalid email address or an email address that is not on your domain.  The way to fix this issue is to always pass in the from header.  If you want to use the configured From address, then you can do the following: SPWebApplication webApp = SPWebApplication.Lookup(new Uri(SPContext.Current.Site.Url)); StringDictionary headers = new StringDictionary(); headers.Add("from", webApp.OutboundMailSenderAddress);

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  • Book Review: Defensive Database Programming With SQL Server

    It distils a great deal of practical experience; the writing of it was a considerable task; It packs in a great deal of information. Alex's book shows how to write robust database applications, and we can all learn from it. We took the book to a critic who never minces his words, and were relieved to find that Joe Celko liked it.

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  • SSAS Compare version 1.0 released

    - by Red Gate Software BI Tools Team
    We’re pleased to announce that SSAS Compare version 1.0 has been released as a free tool. Version 1.0 includes: Comparisons of live databases and XMLA or Analysis Services Project files MDX syntax diffs and highlighting Server comparisons Deployment wizard with summaries of scripted actions Bug fixes and engine and UI refinements We’ve tested it on as many cube configurations as we could find (not just good old AdventureWorks!), but we can’t provide support for free tools — so if you’re reliant on SSAS Compare for your cube deployment, use it at your own risk. See the user license agreement in the installer for more details. SSAS Compare’s come a long way from its humble beginnings as an internal tool first developed for Red Gate’s own BI developers. Today’s SSAS Compare is now much more stable — not to mention much easier to use — and something the team is proud to have released with Red Gate’s name on. Next: Deployment Manager We’re working on integrating SSAS Compare cube deployment with our new Deployment Manager tool, so you’ll be able to create cube deployment scripts and automate the deployment process, too.  We’re documenting the process in a white paper we’ll publish online in the next week. Thank you! Thanks to all the SSAS Compare users out there. Without your feedback, we could never have produced such a stable product so quickly. We hope you continue to find useful. See you in Deployment Manager!  

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  • Antenna Aligner Part 6: Little Robots

    - by Chris George
    A week ago I took temporary ownership of a HTC Desire S so that I could start testing my app under Android. Support for Android was not in my original plan, but when Nomad added support for it recently, I starting thinking why not! So with some trepidation, I clicked the Build for Android button on the Nomad toolbar... nothing. Hmm... that's not right, I was expecting something to build. After a bit of faffing around I finally realised that I hadn't read the text on the Android setup page properly (yes that's right, RTFM!), and I needed a two-part application identifier, separated by a dot. I did this (not sure what the two part thing is all about, that one my list to investigate!) After making the change, the Android build worked and created the apk file. I uploaded this to the device and nervously ran it... it worked!!!  Well, more or less! So, there was not splash screen, but this was no surprise because I only have the iOS icons and splash screen in my project at the moment. What was more concerning was the compass update didn't seem to be working. I suspect this is a result of using an iOS specific option in the Phonegap compass watcher. Another thing to investigate. I've also just noticed that the css gradient background hasn't worked either... These issues aside, it was actually more successful than I was expecting, so happy days! Right, lets get Googling...   Next time: Preparing for submission to the App Store! :-)

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  • Speakers, Please Check Your Time

    - by AjarnMark
    Woodrow Wilson was once asked how long it would take him to prepare for a 10 minute speech. He replied "Two weeks". He was then asked how long it would take for a 1 hour speech. "One week", he replied. 2 hour speech? "I'm ready right now," he replied.  Whether that is a true story or an urban legend, I don’t really know, but either way, it is a poignant reminder for all speakers, and particularly apropos this week leading up to the PASS Community Summit. (Cross-posted to the PASS Professional Development Virtual Chapter blog #PASSProfDev.) What’s the point of that story?  Simply this…if you have plenty of time to do your presentation, you don’t need to prepare much because it is easy to throw in more and more material to stretch out to your allotted time.  But if you are on a tight time constraint, then it will take significant preparation to distill your talk down to only the essential points. I have attended seven of the last eight North American Summit events, and every one of them has been fantastic.  The speakers are great, the material is timely and relevant, and the networking opportunities are awesome.  And every year, there is one little thing that just bugs me…speakers going over their allotted time.  Why does it bother me so?  Well, if you look at a typical schedule for a Summit, you’ll see that there are six or more sessions going on at the same time, and only 15 minutes to move from one to another.  If you’re trying to maximize your training dollar by attending something during every session time slot, and you don’t want to be the last guy trying to squeeze into the middle of the row, then those 15 minutes can be critical.  All the more so if you need to stop and use the bathroom or if you have to hike to the opposite end of the convention center.  It is really a bad position to find yourself having to choose between learning the last key points of Speaker A who is going over time, and getting over to Speaker B on time so you don’t miss her key opening remarks. And frankly, I think it is just rude.  Yes, the speakers are the function, after all they are bringing the content that the rest of us are paying to learn.  But it is also an honor to be given the opportunity to speak at a conference like this, and no one speaker is so important that the conference would be a disaster without him.  Speakers know when they submit their abstract, long before the conference, how much time they will have.  It has been the same pattern at the Summit for at least the last eight years.  Program Sessions are 75 minutes long.  Some speakers who have a good track record, and meet other qualifying criteria, are extended an invitation to present a Spotlight Session which is 90 minutes (a 20% increase).  So there really is no excuse.  It’s not like you were promised a 2-hour segment and then discovered when you got here that it was only 75 minutes.  In fact, it’s not like PASS advertised 90-minute sessions for everyone and then a select few were cut back to only 75.  As a speaker, you know well before you get here which type of session you are doing and how long it is, so as a professional, you should plan accordingly. Now you might think that this only happens to rookies, but I’ll tell you that some of the worst offenders are big-name veterans who draw huge attendance numbers for their sessions.  Some attendees blow this off as, “Hey, it’s so-and-so, and I’d stay here for hours and listen to him/her talk.”  To which I would reply, “Then they should have submitted for a pre- or post-conference day-long seminar instead, but don’t try to squeeze your day-long talk into a 90-minute session.”  Now I don’t really believe that these speakers are being malicious or just selfishly trying to extend their time in the spotlight.  I think that most of them are merely being undisciplined and did not trim their presentation sufficiently, or allowed themselves to get off-track (often in a generous attempt to help someone in the audience with a question or problem that really should have been noted for further discussion after the session). So here is my recommendation…my plea, even.  TRIM THE FAT!  Now.  Before it’s too late.  Before you even get on the airplane, take a long, hard look at your presentation and eliminate some of the points that you originally thought you had to make, but in reality are not truly crucial to your main topic.  Delete a few slides.  Test your demos and have them already scripted rather than typing them during your talk.  It is better to cut out too much and end up with plenty of time at the end for Questions & Answers.  And you can always keep some notes on the stuff that you cut out so that you could fill it back in at the end as bonus material if you really do end up with a whole bunch of time on your hands.  But I don’t think you will.  And if you do, that will look even better to the audience as it will look like you’re giving them something extra that not every audience gets.  And they will thank you for that.

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  • Test-driven Database Development – Why Bother?

    Test-Driven Development is a practice that can bring many benefits, including better design, and less-buggy code, but is it relevant to database development, where the process of development tends to me much more interactive, and the culture more test-oriented? Greg reviews the support for TDD for Databases, and suggests that it is worth giving it a try for the range of advantages it can bring to team-working.

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  • A Knights Tale

    - by Phil Factor
    There are so many lessons to be learned from the story of Knight Capital losing nearly half a billion dollars as a result of a deployment gone wrong. The Knight Capital Group (KCG N) was an American global financial services firm engaging in market making, electronic execution, and institutional sales and trading. According to the recent order (File No.3.15570) against Knight Capital by U.S. Securities and Exchange Commission?, Knight had, for many years used some software which broke up incoming “parent” orders into smaller “child” orders that were then transmitted to various exchanges or trading venues for execution. A tracking ‘cumulative quantity’ function counted the number of ‘child’ orders and stopped the process once the total of child orders matched the ‘parent’ and so the parent order had been completed. Back in the mists of time, some code had been added to it  which was excuted if a particular flag was set. It was called ‘power peg’ and seems to have had a similar design and purpose, but, one guesses, would have shared the same tracking function. This code had been abandoned in 2003, but never deleted. In 2005, The tracking function was moved to an earlier point in the main process. It would seem from the account that, from that point, had that flag ever been set, the old ‘Power Peg’ would have been executed like Godzilla bursting from the ice, making child orders without limit without any tracking function. It wasn’t, presumably because the software that set the flag was removed. In 2012, nearly a decade after ‘Power Peg’ was abandoned, Knight prepared a new module to their software to cope with the imminent Retail Liquidity Program (RLP) for the New York Stock Exchange. By this time, the flag had remained unused and someone made the fateful decision to reuse it, and replace the old ‘power peg’ code with this new RLP code. Had the two actions been done together in a single automated deployment, and the new deployment tested, all would have been well. It wasn’t. To quote… “Beginning on July 27, 2012, Knight deployed the new RLP code in SMARS in stages by placing it on a limited number of servers in SMARS on successive days. During the deployment of the new code, however, one of Knight’s technicians did not copy the new code to one of the eight SMARS computer servers. Knight did not have a second technician review this deployment and no one at Knight realized that the Power Peg code had not been removed from the eighth server, nor the new RLP code added. Knight had no written procedures that required such a review.” (para 15) “On August 1, Knight received orders from broker-dealers whose customers were eligible to participate in the RLP. The seven servers that received the new code processed these orders correctly. However, orders sent with the repurposed flag to the eighth server triggered the defective Power Peg code still present on that server. As a result, this server began sending child orders to certain trading centers for execution. Because the cumulative quantity function had been moved, this server continuously sent child orders, in rapid sequence, for each incoming parent order without regard to the number of share executions Knight had already received from trading centers. Although one part of Knight’s order handling system recognized that the parent orders had been filled, this information was not communicated to SMARS.” (para 16) SMARS routed millions of orders into the market over a 45-minute period, and obtained over 4 million executions in 154 stocks for more than 397 million shares. By the time that Knight stopped sending the orders, Knight had assumed a net long position in 80 stocks of approximately $3.5 billion and a net short position in 74 stocks of approximately $3.15 billion. Knight’s shares dropped more than 20% after traders saw extreme volume spikes in a number of stocks, including preferred shares of Wells Fargo (JWF) and semiconductor company Spansion (CODE). Both stocks, which see roughly 100,000 trade per day, had changed hands more than 4 million times by late morning. Ultimately, Knight lost over $460 million from this wild 45 minutes of trading. Obviously, I’m interested in all this because, at one time, I used to write trading systems for the City of London. Obviously, the US SEC is in a far better position than any of us to work out the failings of Knight’s IT department, and the report makes for painful reading. I can’t help observing, though, that even with the breathtaking mistakes all along the way, that a robust automated deployment process that was ‘all-or-nothing’, and tested from soup to nuts would have prevented the disaster. The report reads like a Greek Tragedy. All the way along one wants to shout ‘No! not that way!’ and ‘Aargh! Don’t do it!’. As the tragedy unfolds, the audience weeps for the players, trapped by a cruel fate. All application development and deployment requires defense in depth. All IT goes wrong occasionally, but if there is a culture of defensive programming throughout, the consequences are usually containable. For financial systems, these defenses are required by statute, and ignored only by the foolish. Knight’s mistakes weren’t made by just one hapless sysadmin, but were progressive errors by an  IT culture spanning at least ten years.  One can spell these out, but I think they’re obvious. One can only hope that the industry studies what happened in detail, learns from the mistakes, and draws the right conclusions.

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  • Podcast with AJI about iOS development coming from a .NET background

    - by Tim Hibbard
    I talked with Jeff and John from AJI Software the other day about developing for the iOS platform. We chatted about learning Xcode and Objective-C, provisioning devices and the app publishing process. We all have a .NET background and made lots of comparisons between the two platforms/ecosystems/fanbois. They even let me throw in a plug for Christian Radio Locator. Jeff was my first contact with the Kansas City .NET community. It was probably about 10 years ago. He pushed me to talk more (and rescued me from my first talk that bombed) and blog more. One time a group of us took a 16 hour car trip to South Carolina for a code camp and live podcasted the whole thing. Good times.Listen to the show Click here to subscribe to more AJI Reports in the future.

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  • Know your Data Lineage

    - by Simon Elliston Ball
    An academic paper without the footnotes isn’t an academic paper. Journalists wouldn’t base a news article on facts that they can’t verify. So why would anyone publish reports without being able to say where the data has come from and be confident of its quality, in other words, without knowing its lineage. (sometimes referred to as ‘provenance’ or ‘pedigree’) The number and variety of data sources, both traditional and new, increases inexorably. Data comes clean or dirty, processed or raw, unimpeachable or entirely fabricated. On its journey to our report, from its source, the data can travel through a network of interconnected pipes, passing through numerous distinct systems, each managed by different people. At each point along the pipeline, it can be changed, filtered, aggregated and combined. When the data finally emerges, how can we be sure that it is right? How can we be certain that no part of the data collection was based on incorrect assumptions, that key data points haven’t been left out, or that the sources are good? Even when we’re using data science to give us an approximate or probable answer, we cannot have any confidence in the results without confidence in the data from which it came. You need to know what has been done to your data, where it came from, and who is responsible for each stage of the analysis. This information represents your data lineage; it is your stack-trace. If you’re an analyst, suspicious of a number, it tells you why the number is there and how it got there. If you’re a developer, working on a pipeline, it provides the context you need to track down the bug. If you’re a manager, or an auditor, it lets you know the right things are being done. Lineage tracking is part of good data governance. Most audit and lineage systems require you to buy into their whole structure. If you are using Hadoop for your data storage and processing, then tools like Falcon allow you to track lineage, as long as you are using Falcon to write and run the pipeline. It can mean learning a new way of running your jobs (or using some sort of proxy), and even a distinct way of writing your queries. Other Hadoop tools provide a lot of operational and audit information, spread throughout the many logs produced by Hive, Sqoop, MapReduce and all the various moving parts that make up the eco-system. To get a full picture of what’s going on in your Hadoop system you need to capture both Falcon lineage and the data-exhaust of other tools that Falcon can’t orchestrate. However, the problem is bigger even that that. Often, Hadoop is just one piece in a larger processing workflow. The next step of the challenge is how you bind together the lineage metadata describing what happened before and after Hadoop, where ‘after’ could be  a data analysis environment like R, an application, or even directly into an end-user tool such as Tableau or Excel. One possibility is to push as much as you can of your key analytics into Hadoop, but would you give up the power, and familiarity of your existing tools in return for a reliable way of tracking lineage? Lineage and auditing should work consistently, automatically and quietly, allowing users to access their data with any tool they require to use. The real solution, therefore, is to create a consistent method by which to bring lineage data from these data various disparate sources into the data analysis platform that you use, rather than being forced to use the tool that manages the pipeline for the lineage and a different tool for the data analysis. The key is to keep your logs, keep your audit data, from every source, bring them together and use the data analysis tools to trace the paths from raw data to the answer that data analysis provides.

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  • Embracing Imperfection

    - by Johnm
    The pursuit of perfection is a road on which we often find ourselves traveling. It is an unpaved road filed with pot-holes and ruts that often destroy our stride. The shoulders of this road are lined with the bones and rotting carcasses of well planned projects, solutions and dreams of others who have dared the journey. Often the choice to engage in this travel is a compulsive one. We can't help but to pack our bags and make the trip. We justify it by equating it to the delivery of a quality product or service. We use our past travels as validation of our worthiness and value. Our shared experience, as tortured pilgrims of perfection, reveals that each odyssey that bewitched us resulted in a stark reminder of the very weaknesses and fears that we were attempting to mollify. The voice of the critic that berated us for the lack of craftsmanship was our own. Although, at the end of the journey our own critical voice was joined by the gnashing of teeth of those who could not reap the fruit of your labor due to its lack of timely delivery. There is another road in which to travel. It is the pursuit of embracing imperfection. The cost of traveling this route is your contribution to its eternal construction. Each segment is designed uniquely. At times it has the appearance of a patchwork quilt; while other times it is well organized and highly measured. In all cases, its construction has continually advanced and been utilized as each segment was delivered by its architect. Those who choose to select this spindle of these crossroads crack open the shells of their fears to reveal the vapor that is within. They construct their houses upon these shells. Through their hunger for mastery they wring every drop of nectar from failure and discard its husks to the ditches of this road. Through their efforts the thoroughfare begins to develop a personality of its own, a beautifully human one, rich with the strengths and weaknesses of all of its contributors. Like many of us, the pursuit of perfection has not served me well. In fact, I would say that it has been more damaging than it has been helpful. While the perfectionist in me occasionally makes its presence known, I consider myself a "recovering perfectionist". It is evident to me that there is immense beauty found in imperfection. I choose to embrace it. It is grounding. It is constructive. It is honest.

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  • Another VSeWSS Error Resolved (List Template not installed on Farm)

    - by Damon
    Ran into a minor snag today trying to deploy a project with VSeWSS 1.3 - during the deployment it gave me the following error: Error    32    VSeWSS Service Error: Feature '2ade6552-200e-4425-8af5-f1f50c115b7e' for list template '10001' is not installed in this farm.  The operation could not be completed. At first glance, it looked my features were not installing in the correct order because the solution was installing a list that required a custom list definition before the custom list definition was being installed.  After switching the order in the WSP view (View -> Other Windows -> WSP View) -- you can use the up and down arrows on the view pane to switch feature installation order - I had the same error. I decided to try deleting the list, but upon visiting the list in the web interface I received a similar error about how the feature was not installed on the farm.  As such, I could not delete the list through the web interface.  Fortunately, the stsadm.exe tool worked just fine: stsadm.exe -o forcedeletelist -url <urltolisthere>

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  • News From EAP Testing

    - by Fatherjack
    There is a phrase that goes something like “Watch the pennies and the pounds/dollars will take care of themselves”, meaning that if you pay attention to the small things then the larger things are going to fare well too. I am lucky enough to be a Friend of Red Gate and once in a while I get told about new features in their tools and have a test copy of the software to trial. I got one of those emails a week or so ago and I have been exploring the SQL Prompt 6 EAP since then. One really useful feature of long standing in SQL Prompt is the idea of a code snippet that is automatically pasted into the SSMS editor when you type a few key letters. For example I can type “ssf” and then press the tab key and the text is expanded to SELECT * FROM. There are lots of these combinations and it is possible to create your own really easily. To create your own you use the Snippet Manager interface to define the shortcut letters and the code that you want to have put in their place. Let’s look at an example. Say I am writing a blog about something and want to have the demo code create a temporary table. It might looks like this; The first time you run the code everything is fine, a lovely set of dates fill the results grid but run it a second time and this happens.   Yep, we didn’t destroy the temporary table so the CREATE statement fails when it finds the table already exists. No matter, I have a snippet created that takes care of this.   Nothing too technical here but you will see that in the Code section there is $CURSOR$, this isn’t a TSQL keyword but a marker for SQL Prompt to place the cursor in that position when the Code is pasted into the SSMS Editor. I just place my cursor above the CREATE statement and type “ifobj” – the shortcut for my code to DROP the temporary table – which has been defined in the Snippet Manager as below. This means I am right-away ready to type the name of the offending table. Pretty neat and it’s been very useful in saving me lots of time over many years.   The news for SQL Prompt 6 is that Red Gate have added a new Snippet Command of $PASTE$. Let’s alter our snippet to the following and try it out   Once again, we will type type “ifobj” in the SSMS Editor but first of all, highlight the name of the table #TestTable and copy it to your clipboard. Now type “ifobj” and press Tab… Wherever the string $PASTE$ is placed in the snippet, the contents of your clipboard are merged into the pasted TSQL. This means I don’t need to type the table name into the code snippet, it’s already there and I am seeing a fully functioning piece of TSQL ready to run. This means it is it even easier to write TSQL quickly and consistently. Attention to detail like this from Red Gate means that their developer tools stay on track to keep winning awards year after year and help take the hard work out of writing neat, accurate TSQL. If you want to try out SQL Prompt all the details are at http://www.red-gate.com/products/sql-development/sql-prompt/.

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  • Comparing Apples and Pairs

    - by Tony Davis
    A recent study, High Costs and Negative Value of Pair Programming, by Capers Jones, pulls no punches in its assessment of the costs-to- benefits ratio of pair programming, two programmers working together, at a single computer, rather than separately. He implies that pair programming is a method rushed into production on a wave of enthusiasm for Agile or Extreme Programming, without any real regard for its effectiveness. Despite admitting that his data represented a far from complete study of the economics of pair programming, his conclusions were stark: it was 2.5 times more expensive, resulted in a 15% drop in productivity, and offered no significant quality benefits. The author provides a more scientific analysis than Jon Evans’ Pair Programming Considered Harmful, but the theme is the same. In terms of upfront-coding costs, pair programming is surely more expensive. The claim of productivity loss is dubious and contested by other studies. The third claim, though, did surprise me. The author’s data suggests that if both the pair and the individual programmers employ static code analysis and testing, then there is no measurable difference in the resulting code quality, in terms of defects per function point. In other words, pair programming incurs a massive extra cost for no tangible return in investment. There were, inevitably, many criticisms of his data and his conclusions, a few of which are persuasive. Firstly, that the driver/observer model of pair programming, on which the study bases its findings, is far from the most effective. For example, many find Ping-Pong pairing, based on use of test-driven development, far more productive. Secondly, that it doesn’t distinguish between “expert” and “novice” pair programmers– that is, independently of other programming skills, how skilled was an individual at pair programming. Thirdly, that his measure of quality is too narrow. This point rings true, certainly at Red Gate, where developers don’t pair program all the time, but use the method in short bursts, while tackling a tricky problem and needing a fresh perspective on the best approach, or more in-depth knowledge in a particular domain. All of them argue that pair programming, and collective code ownership, offers significant rewards, if not in terms of immediate “bug reduction”, then in removing the likelihood of single points of failure, and improving the overall quality and longer-term adaptability/maintainability of the design. There is also a massive learning benefit for both participants. One developer told me how he once worked in the same team over consecutive summers, the first time with no pair programming and the second time pair-programming two-thirds of the time, and described the increased rate of learning the second time as “phenomenal”. There are a great many theories on how we should develop software (Scrum, XP, Lean, etc.), but woefully little scientific research in their effectiveness. For a group that spends so much time crunching other people’s data, I wonder if developers spend enough time crunching data about themselves. Capers Jones’ data may be incomplete, but should cause a pause for thought, especially for any large IT departments, supporting commerce and industry, who are considering pair programming. It certainly shouldn’t discourage teams from exploring new ways of developing software, as long as they also think about how to gather hard data to gauge their effectiveness.

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  • How to make sure you see the truth with Management Studio

    - by fatherjack
    LiveJournal Tags: TSQL,How To,SSMS,Tips and Tricks Did you know that SQL Server Management Studio can mislead you with how your code is performing? I found a query that was using a scalar function to return a date and wanted to take the opportunity to remove it in favour of a table valued function that would be more efficient. The original function was simply returning the start date of the current financial year. The code we were using was: ALTER  FUNCTION...(read more)

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  • Developing Schema Compare for Oracle (Part 6): 9i Query Performance

    - by Simon Cooper
    All throughout the EAP and beta versions of Schema Compare for Oracle, our main request was support for Oracle 9i. After releasing version 1.0 with support for 10g and 11g, our next step was then to get version 1.1 of SCfO out with support for 9i. However, there were some significant problems that we had to overcome first. This post will concentrate on query execution time. When we first tested SCfO on a 9i server, after accounting for various changes to the data dictionary, we found that database registration was taking a long time. And I mean a looooooong time. The same database that on 10g or 11g would take a couple of minutes to register would be taking upwards of 30 mins on 9i. Obviously, this is not ideal, so a poke around the query execution plans was required. As an example, let's take the table population query - the one that reads ALL_TABLES and joins it with a few other dictionary views to get us back our list of tables. On 10g, this query takes 5.6 seconds. On 9i, it takes 89.47 seconds. The difference in execution plan is even more dramatic - here's the (edited) execution plan on 10g: -------------------------------------------------------------------------------| Id | Operation | Name | Bytes | Cost |-------------------------------------------------------------------------------| 0 | SELECT STATEMENT | | 108K| 939 || 1 | SORT ORDER BY | | 108K| 939 || 2 | NESTED LOOPS OUTER | | 108K| 938 ||* 3 | HASH JOIN RIGHT OUTER | | 103K| 762 || 4 | VIEW | ALL_EXTERNAL_LOCATIONS | 2058 | 3 ||* 20 | HASH JOIN RIGHT OUTER | | 73472 | 759 || 21 | VIEW | ALL_EXTERNAL_TABLES | 2097 | 3 ||* 34 | HASH JOIN RIGHT OUTER | | 39920 | 755 || 35 | VIEW | ALL_MVIEWS | 51 | 7 || 58 | NESTED LOOPS OUTER | | 39104 | 748 || 59 | VIEW | ALL_TABLES | 6704 | 668 || 89 | VIEW PUSHED PREDICATE | ALL_TAB_COMMENTS | 2025 | 5 || 106 | VIEW | ALL_PART_TABLES | 277 | 11 |------------------------------------------------------------------------------- And the same query on 9i: -------------------------------------------------------------------------------| Id | Operation | Name | Bytes | Cost |-------------------------------------------------------------------------------| 0 | SELECT STATEMENT | | 16P| 55G|| 1 | SORT ORDER BY | | 16P| 55G|| 2 | NESTED LOOPS OUTER | | 16P| 862M|| 3 | NESTED LOOPS OUTER | | 5251G| 992K|| 4 | NESTED LOOPS OUTER | | 4243M| 2578 || 5 | NESTED LOOPS OUTER | | 2669K| 1440 ||* 6 | HASH JOIN OUTER | | 398K| 302 || 7 | VIEW | ALL_TABLES | 342K| 276 || 29 | VIEW | ALL_MVIEWS | 51 | 20 ||* 50 | VIEW PUSHED PREDICATE | ALL_TAB_COMMENTS | 2043 | ||* 66 | VIEW PUSHED PREDICATE | ALL_EXTERNAL_TABLES | 1777K| ||* 80 | VIEW PUSHED PREDICATE | ALL_EXTERNAL_LOCATIONS | 1744K| ||* 96 | VIEW | ALL_PART_TABLES | 852K| |------------------------------------------------------------------------------- Have a look at the cost column. 10g's overall query cost is 939, and 9i is 55,000,000,000 (or more precisely, 55,496,472,769). It's also having to process far more data. What on earth could be causing this huge difference in query cost? After trawling through the '10g New Features' documentation, we found item 1.9.2.21. Before 10g, Oracle advised that you do not collect statistics on data dictionary objects. From 10g, it advised that you do collect statistics on the data dictionary; for our queries, Oracle therefore knows what sort of data is in the dictionary tables, and so can generate an efficient execution plan. On 9i, no statistics are present on the system tables, so Oracle has to use the Rule Based Optimizer, which turns most LEFT JOINs into nested loops. If we force 9i to use hash joins, like 10g, we get a much better plan: -------------------------------------------------------------------------------| Id | Operation | Name | Bytes | Cost |-------------------------------------------------------------------------------| 0 | SELECT STATEMENT | | 7587K| 3704 || 1 | SORT ORDER BY | | 7587K| 3704 ||* 2 | HASH JOIN OUTER | | 7587K| 822 ||* 3 | HASH JOIN OUTER | | 5262K| 616 ||* 4 | HASH JOIN OUTER | | 2980K| 465 ||* 5 | HASH JOIN OUTER | | 710K| 432 ||* 6 | HASH JOIN OUTER | | 398K| 302 || 7 | VIEW | ALL_TABLES | 342K| 276 || 29 | VIEW | ALL_MVIEWS | 51 | 20 || 50 | VIEW | ALL_PART_TABLES | 852K| 104 || 78 | VIEW | ALL_TAB_COMMENTS | 2043 | 14 || 93 | VIEW | ALL_EXTERNAL_LOCATIONS | 1744K| 31 || 106 | VIEW | ALL_EXTERNAL_TABLES | 1777K| 28 |------------------------------------------------------------------------------- That's much more like it. This drops the execution time down to 24 seconds. Not as good as 10g, but still an improvement. There are still several problems with this, however. 10g introduced a new join method - a right outer hash join (used in the first execution plan). The 9i query optimizer doesn't have this option available, so forcing a hash join means it has to hash the ALL_TABLES table, and furthermore re-hash it for every hash join in the execution plan; this could be thousands and thousands of rows. And although forcing hash joins somewhat alleviates this problem on our test systems, there's no guarantee that this will improve the execution time on customers' systems; it may even increase the time it takes (say, if all their tables are partitioned, or they've got a lot of materialized views). Ideally, we would want a solution that provides a speedup whatever the input. To try and get some ideas, we asked some oracle performance specialists to see if they had any ideas or tips. Their recommendation was to add a hidden hook into the product that allowed users to specify their own query hints, or even rewrite the queries entirely. However, we would prefer not to take that approach; as well as a lot of new infrastructure & a rewrite of the population code, it would have meant that any users of 9i would have to spend some time optimizing it to get it working on their system before they could use the product. Another approach was needed. All our population queries have a very specific pattern - a base table provides most of the information we need (ALL_TABLES for tables, or ALL_TAB_COLS for columns) and we do a left join to extra subsidiary tables that fill in gaps (for instance, ALL_PART_TABLES for partition information). All the left joins use the same set of columns to join on (typically the object owner & name), so we could re-use the hash information for each join, rather than re-hashing the same columns for every join. To allow us to do this, along with various other performance improvements that could be done for the specific query pattern we were using, we read all the tables individually and do a hash join on the client. Fortunately, this 'pure' algorithmic problem is the kind that can be very well optimized for expected real-world situations; as well as storing row data we're not using in the hash key on disk, we use very specific memory-efficient data structures to store all the information we need. This allows us to achieve a database population time that is as fast as on 10g, and even (in some situations) slightly faster, and a memory overhead of roughly 150 bytes per row of data in the result set (for schemas with 10,000 tables in that means an extra 1.4MB memory being used during population). Next: fun with the 9i dictionary views.

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  • 3 tips for SQL Azure connection perfection

    - by Richard Mitchell
    One of my main annoyances when dealing with SQL Azure is of course the occasional connection problems that communicating to a cloud database entails. If you're used to programming against a locally hosted SQL Server box this can be quite a change and annoying like you wouldn't believe. So after hitting the problem again in http://cloudservices.red-gate.com  I thought I'd write a little post to remind myself how I've got it working, I don't say it's right but at least "it works on my machine" Tip...(read more)

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  • SQL Saturday and Exploring Data Privacy

    - by Johnm
    I have been highly impressed with the growth of the SQL Saturday phenomenon. It seems that an announcement for a new wonderful event finds its way to my inbox on a daily basis. I have had the opportunity to attend the first of the SQL Saturday's for Tampa, Chicago, Louisville and recently my home town of Indianapolis. It is my hope that there will be many more in my future. This past weekend I had the honor of being selected to speak amid a great line up of speakers at SQL Saturday #82 in Indianapolis. My session topic/title was "Exploring Data Privacy". Below is a brief synopsis of my session: Data Privacy in a Nutshell        - Definition of data privacy        - Examples of personally identifiable data        - Examples of Sensitive data Laws and Stuff        - Various examples of laws, regulations and policies that influence the definition of data privacy        - General rules of thumb that encompasses most laws Your Data Footprint        - Who has personal information about you?        - What are you exchanging data privacy for?        - The amazing resilience of data        - The cost of data loss Weapons of Mass Protection       - Data classification       - Extended properties       - Database Object Schemas       - An extraordinarily brief introduction of encryption       - The amazing data professional  <-the most important point of the entire session! The subject of data privacy is one that is quickly making its way to the forefront of the mind of many data professionals. Somewhere out there someone is storing personally identifiable and other sensitive data about you. In some cases it is kept reasonably secure. In other cases it is kept in total exposure without the consideration of its potential of damage to you. Who has access to it and how is it being used? Are we being unnecessarily required to supply sensitive data in exchange for products and services? These are just a few questions on everyone's mind. As data loss events of grand scale hit the headlines in a more frequent succession, the level of frustration and urgency for a solution increases. I assembled this session with the intent to raise awareness of sensitive data and remind us all that we, data professionals, are the ones who have the greatest impact and influence on how sensitive data is regarded and protected. Mahatma Gandhi once said "Be the change you want to see in the world." This is guidance that I keep near to my heart as I approached this topic of data privacy.

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  • Sharing My Thoughts on Space Flight

    - by Grant Fritchey
    This went out in the DBA newsletter from Red Gate, but I enjoyed writing it so much, I thought I'd share it to a wider audience: I grew up watching the US space program. I watched men walk on the moon for the first time in 1969, when I was only six years old. From that moment on, I dreamed of going into space. I studied aeronautics and tried to get into the Air Force Academy, all in preparation for my long career as an astronaut. Clearly, that didn't quite work out for me. But it sure could for you. At Red Gate, we're running a new contest: DBA in Space. The prize is a sub-orbital flight. When I first got word of this contest, my immediate response was, "And you need me to go right away and do a test flight? Excellent!" No, no test flight needed, plus I was pretty low on the list of volunteers. "That's OK, I'll just enter." Then I was told that, as a Red Gate employee, I couldn't win. My next response was, "I quit".eventually, I was talked down off the ledge, and agreed to help make this special for some other DBA. Many (most?) of us are science fiction fans, either the soft science of Star Trek and Star Wars, or the hard science of Niven and Pournelle, or Allen Steele. We watched the Shuttles go up and land. We've been dreaming of our own trips into orbit and our vacation-home on the Moon for a long, long time. All that might not arrive on schedule, but you've got a shot at breaking clear of the atmosphere. The first stage is a video quiz, starring Brad McGehee, and it's live at www.DBAinSpace.com now. Go for it. Good luck and God speed!

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  • Taking our Friendships to the next level.

    - by RedAndTheCommunity
    Red Gate have been running the Friends of Red Gate program for years now, and over that time we've built some great relationships with some truly awesome members of the SQL and .NET communities. When I took over the running of the program from Annabel in 2011, I was overwhelmed by the enthusiasm and commitment of our Friends. There were just so many of them, however, that it was hard to make the most of the relationships we had with people, and I wanted to fix that. I decided to survey all our Friends, to find out what they wanted to get out of, and put into, being in the Friends of Red Gate (FoRG) program. From the results of that survey, I identified 30 FoRGs that were really willing and able to go that step further to help Red Gate improve their tools, improve their relationship with the community, and improve the Friends of Red Gate program. Those 30 Friends of Red Gate have been awarded 'FoRG+' status. That means they'll: Have a closer relationship with the product teams, by getting involved in projects Have even more access to the inside track about the tools they're interested in Get the opportunity to come visit us at the Red Gate office and really influence the development of the tools. Plus more, depending on how the individual FoRG+ wants to work with us. This doesn't mean I've forgotten our other Friends; I'm working on ways to improve their experience of the Friends of Red Gate program. I'll write about them in another post. If you're an existing Friend of Red Gate, and you're interested in finding out how to get involved in the FoRG+ program, then I'd love to chat to you. For anyone that's interested in joining the Friend of Red Gate program, take a look at the web page dedicated to the program, and get in touch at [email protected] to be put on the waiting list for our 2013 program.

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