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  • Antenna Aligner part 1: In the beginning.

    - by Chris George
    Picture the scene, it's 9pm, I'm in my caravan (yes I know, I've heard all the jokes!) with my family and I'm trying to tune the tv by moving the aerial, retuning, moving the aerial again, retuning... 45 mins and much cursing later I succeed. Surely there must be an easier way than this? Aha, an app; there must be an app for that? So I search in the AppStore for such an app, but curiously drew a blank. Then the seeds of the idea started to grow. I can code, I work in a software house with lots of very clever people, surely I can make an app that points to the nearest digital tv transmitter! Not having looked into app development before, I investigated how one goes about making an iPhone app and was quickly greeted by a now familiar answer "Buy a mac!". That was not an option for many reasons, mostly wife related! My dreams were starting to fade until one of my colleagues pointed out that within Red Gate, the very company I work for, there was on-going development on a piece of software that would allow me to write an app using Visual Studio on a Windows machine, Nomad! Once I signed up for the beta program I got to work learning the Jquery mobile / Phonegap framework. Within a couple of hours I had written (in Visual Studio), built in the cloud (using Nomad) and published (via TestFlight) my first iPhone app onto my iPhone ! It didn't do much, but it was a step in the right direction. To be continued...

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  • Building a List of All SharePoint Timer Jobs Programmatically in C#

    - by Damon Armstrong
    One of the most frustrating things about SharePoint is that the difficulty in figuring something out is inversely proportional to the simplicity of what you are trying to accomplish.  Case in point, yesterday I wanted to get a list of all the timer jobs in SharePoint.  Having never done this nor having any idea of exactly how to do this right off the top of my head, I inquired to Google.  I like to think my Google-fu is fair to good, so I normally find exactly what I’m looking for in the first hit.  But on the topic of listing all SharePoint timer jobs all it came up with a PowerShell script command (Get-SPTimerJob) and nothing more. Refined search after refined search continued to turn up nothing. So apparently I am the only person on the planet who needs to get a list of the timer jobs in C#.  In case you are the second person on the planet who needs to do this, the code to do so follows: SPSecurity.RunWithElevatedPrivileges(() => {    var timerJobs = new List();    foreach (var job in SPAdministrationWebApplication.Local.JobDefinitions)    {       timerJobs.Add(job);    }    foreach (SPService curService in SPFarm.Local.Services)    {       foreach (var job in curService.JobDefinitions)       {          timerJobs.Add(job);       }     } }); For reference, you have the two for loops because the Central Admin web application doesn’t end up being in the SPFarm.Local.Services group, so you have to get it manually from the SPAdministrationWebApplication.Local reference.

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  • At times, you need to hire a professional.

    - by Phil Factor
    After months of increasingly demanding toil, the development team I belonged to was told that the project was to be canned and the whole team would be fired.  I’d been brought into the team as an expert in the data implications of a business re-engineering of a major financial institution. Nowadays, you’d call me a data architect, I suppose.  I’d spent a happy year being paid consultancy fees solving a succession of interesting problems until the point when the company lost is nerve, and closed the entire initiative. The IT industry was in one of its characteristic mood-swings downwards.  After the announcement, we met in the canteen. A few developers had scented the smell of death around the project already hand had been applying unsuccessfully for jobs. There was a sense of doom in the mass of dishevelled and bleary-eyed developers. After giving vent to anger and despair, talk turned to getting new employment. It was then that I perked up. I’m not an obvious choice to give advice on getting, or passing,  IT interviews. I reckon I’ve failed most of the job interviews I’ve ever attended. I once even failed an interview for a job I’d already been doing perfectly well for a year. The jobs I’ve got have mostly been from personal recommendation. Paradoxically though, from years as a manager trying to recruit good staff, I know a lot about what IT managers are looking for.  I gave an impassioned speech outlining the important factors in getting to an interview.  The most important thing, certainly in my time at work is the quality of the résumé or CV. I can’t even guess the huge number of CVs (résumés) I’ve read through, scanning for candidates worth interviewing.  Many IT Developers find it impossible to describe their  career succinctly on two sides of paper.  They leave chunks of their life out (were they in prison?), get immersed in detail, put in irrelevancies, describe what was going on at work rather than what they themselves did, exaggerate their importance, criticize their previous employers, aren’t  aware of the important aspects of a role to a potential employer, suffer from shyness and modesty,  and lack any sort of organized perspective of their work. There are many ways of failing to write a decent CV. Many developers suffer from the delusion that their worth can be recognized purely from the code that they write, and shy away from anything that seems like self-aggrandizement. No.  A resume must make a good impression, which means presenting the facts about yourself in a clear and positive way. You can’t do it yourself. Why not have your resume professionally written? A good professional CV Writer will know the qualities being looked for in a CV and interrogate you to winkle them out. Their job is to make order and sense out of a confused career, to summarize in one page a mass of detail that presents to any recruiter the information that’s wanted. To stand back and describe an accurate summary of your skills, and work-experiences dispassionately, without rancor, pity or modesty. You are no more capable of producing an objective documentation of your career than you are of taking your own appendix out.  My next recommendation was more controversial. This is to have a professional image overhaul, or makeover, followed by a professionally-taken photo portrait. I discovered this by accident. It is normal for IT professionals to face impossible deadlines and long working hours by looking more and more like something that had recently blocked a sink. Whilst working in IT, and in a state of personal dishevelment, I’d been offered the role in a high-powered amateur production of an old ex- Broadway show, purely for my singing voice. I was supposed to be the presentable star. When the production team saw me, the air was thick with tension and despair. I was dragged kicking and protesting through a succession of desperate grooming, scrubbing, dressing, dieting. I emerged feeling like “That jewelled mass of millinery, That oiled and curled Assyrian bull, Smelling of musk and of insolence.” (Tennyson Maud; A Monodrama (1855) Section v1 stanza 6) I was then photographed by a professional stage photographer.  When the photographs were delivered, I was amazed. It wasn’t me, but it looked somehow respectable, confident, trustworthy.   A while later, when the show had ended, I took the photos, and used them for work. They went with the CV to job applications. It did the trick better than I could ever imagine.  My views went down big with the developers. Old rivalries were put immediately to one side. We voted, with a show of hands, to devote our energies for the entire notice period to getting employable. We had a team sourcing the CV Writer,  a team organising the make-overs and photographer, and a third team arranging  mock interviews. A fourth team determined the best websites and agencies for recruitment, with the help of friends in the trade.  Because there were around thirty developers, we were in a good negotiating position.  Of the three CV Writers we found who lived locally, one proved exceptional. She was an ex-journalist with an eye to detail, and years of experience in manipulating language. We tried her skills out on a developer who seemed a hopeless case, and he was called to interview within a week.  I was surprised, too, how many companies were experts at image makeovers. Within the month, we all looked like those weird slick  people in the ‘Office-tagged’ stock photographs who stare keenly and interestedly at PowerPoint slides in sleek chromium-plated high-rise offices. The portraits we used still adorn the entries of many of my ex-colleagues in LinkedIn. After a months’ worth of mock interviews, and technical Q&A, our stutters, hesitations, evasions and periphrastic circumlocutions were all gone.  There is little more to relate. With the résumés or CVs, mugshots, and schooling in how to pass interviews, we’d all got new and better-paid jobs well  before our month’s notice was ended. Whilst normally, an IT team under the axe is a sad and depressed place to belong to, this wonderful group of people had proved the power of organized group action in turning the experience to advantage. It left us feeling slightly guilty that we were somehow cheating, but I guess we were merely leveling the playing-field.

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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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  • 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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  • Collecting the Information in the Default Trace

    The default trace is still the best way of getting important information to provide a security audit of SQL Server, since it records such information as logins, changes to users and roles, changes in object permissions, error events and changes to both database settings and schemas. The only trouble is that the information is volatile. Feodor shows how to squirrel the information away to provide reports, check for unauthorised changes and provide forensic evidence.

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  • Modernizr Rocks HTML5

    - by Laila
    HTML5 is a moving target.  At the moment, we don't know what will be in future versions.  In most circumstances, this really matters to the developer. When you're using Adobe Air, you can be reasonably sure what works, what is there, and what isn't, since you have a version of the browser built-in. With Metro, you can assume that you're going to be using at least IE 10.   If, however,  you are using HTML5 in a web application, then you are going to rely heavily on Feature Detection.  Feature-Detection is a collection of techniques that tell you, via JavaScript, whether the current browser has this feature natively implemented or not Feature Detection isn't just there for the esoteric stuff such as  Geo-location,  progress bars,  <canvas> support,  the new <input> types, Audio, Video, web workers or storage, but is required even for semantic markup, since old browsers make a pigs ear out of rendering this.  Feature detection can't rely just on reading the browser version and inferring from that what works. Instead, you must use JavaScript to check that an HTML5 feature is there before using it.  The problem with relying on the user-agent is that it takes a lot of historical data  to work out what version does what, and, anyway, the user-agent can be, and sometimes is, spoofed. The open-source library Modernizr  is just about the most essential  JavaScript library for anyone using HTML5, because it provides APIs to test for most of the CSS3 and HTML5 features before you use them, and is intelligent enough to alter semantic markup into 'legacy' 'markup  using shims  on page-load  for old browsers. It also allows you to check what video Codecs are installed for playing video. It also provides media queries  and conditional resource-loading (formerly YepNope.js.).  Generally, Modernizr gives you the choice of what you do about browsers that don't support the feature that you want. Often, the best choice is graceful degradation, but the resource-loading feature allows you to dynamically load JavaScript Shims to replace the standard API for missing or defective HTML5 functionality, called 'PolyFills'.  As the Modernizr site says 'Yes, not only can you use HTML5 today, but you can use it in the past, too!' The evolutionary progress of HTML5  requires a more defensive style of JavaScript programming where the programmer adopts a mindset of fearing the worst ( IE 6)  rather than assuming the best, whilst exploiting as many of the new HTML features as possible for the requirements of the site or HTML application.  Why would anyone want the distraction of developing their own techniques to do this when  Modernizr exists to do this for you? Laila

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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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  • Creating WPF Prototypes with SketchFlow

    Prototyping with Sketchflow transforms what was once a frustrating and time-consuming chore. With SketchFlow, WPF prototypes can be created and changed with amazing ease. SketchFlow is WPF's secret weapon. Well, it was secret until Michael Sorens produced this article.

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  • Feature Usage Reporting in Early Access Programs

    After doing Web development, you can get very used to the luxury of having basic information about your users' machines and browsers. With their permission, you can also get the same information from an application, and can even get more targeted anonymous information that will tell you how the features are used. Kevin explains how this can be used with early access builds to improve the reliability and usability of applications.

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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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  • The Mindset of the Enterprise DBA: Creating and Applying Standards to Our Work

    Although many professions, such as pilots, surgeons and IT administrators, require judgement and skill, they also require the ability to do many repeated standard procedures in a consistent and methodical manner. These procedures leave little room for creativity since they must be done right, and in the right order. For DBAs, standardization involves providing and following checklists, notes and instructions so that the results are predictable, correct and easy to maintain

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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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  • Continuous Delivery and the Database

    Continuous Delivery is fairly generally understood to be an effective way of tackling the problems of software delivery and deployment by making build, integration and delivery into a routine. The way that databases fit into the Continuous Delivery story has been less-well defined. Phil Factor explains why he's an enthusiast for databases being full participants, and suggests practical ways of doing so.

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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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  • AJAX basics with jQuery in ASP.NET

    ASP.NET now has support for the jQuery JavaScript library. Although ASP.NET integrated AJAX technology by introducing the is the UpdatePanel server control, jQuery offers an alternative, and more versatile, way of doing it and a great deal more besides. Matteo shows how easy it is to get started with using jQuery.

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  • Developing Schema Compare for Oracle (Part 4): Script Configuration

    - by Simon Cooper
    If you've had a chance to play around with the Schema Compare for Oracle beta, you may have come across this screen in the synchronization wizard: This screen is one of the few screens that, along with the project configuration form, doesn't come from SQL Compare. This screen was designed to solve a couple of issues that, although aren't specific to Oracle, are much more of a problem than on SQL Server: Datatype conversions and NOT NULL columns. 1. Datatype conversions SQL Server is generally quite forgiving when it comes to datatype conversions using ALTER TABLE. For example, you can convert from a VARCHAR to INT using ALTER TABLE as long as all the character values are parsable as integers. Oracle, on the other hand, only allows ALTER TABLE conversions that don't change the internal data format. Essentially, every change that requires an actual datatype conversion has to be done using a rebuild with a conversion function. That's OK, as we can simply hard-code the various conversion functions for the valid datatype conversions and insert those into the rebuild SELECT list. However, as there always is with Oracle, there's a catch. Have a look at the NUMTODSINTERVAL function. As well as specifying the value (or column) to convert, you have to specify an interval_unit, which tells oracle how to interpret the input number. We can't hardcode a default for this parameter, as it is entirely dependent on the user's data context! So, in order to convert NUMBER to INTERVAL DAY TO SECOND/INTERVAL YEAR TO MONTH, we need to have feedback from the user as to what to put in this parameter while we're generating the sync script - this requires a new step in the engine action/script generation to insert these values into the script, as well as new UI to allow the user to specify these values in a sensible fashion. In implementing the engine and UI infrastructure to allow this it made much more sense to implement it for any rebuild datatype conversion, not just NUMBER to INTERVALs. For conversions which we can do, we pre-fill the 'value' box with the appropriate function from the documentation. The user can also type in arbitary SQL expressions, which allows the user to specify optional format parameters for the relevant conversion functions, or indeed call their own functions to convert between values that don't have a built-in conversion defined. As the value gets inserted as-is into the rebuild SELECT list, any expression that is valid in that context can be specified as the conversion value. 2. NOT NULL columns Another problem that is solved by the new step in the sync wizard is adding a NOT NULL column to a table. If the table contains data (as most database tables do), you can't just add a NOT NULL column, as Oracle doesn't know what value to put in the new column for existing rows - the DDL statement will fail. There are actually 3 separate scenarios for this problem that have separate solutions within the engine: Adding a NOT NULL column to a table without a rebuild Here, the workaround is to add a column default with an appropriate value to the column you're adding: ALTER TABLE tbl1 ADD newcol NUMBER DEFAULT <value> NOT NULL; Note, however, there is something to bear in mind about this solution; once specified on a column, a default cannot be removed. To 'remove' a default from a column you change it to have a default of NULL, hence there's code in the engine to treat a NULL default the same as no default at all. Adding a NOT NULL column to a table, where a separate change forced a table rebuild Fortunately, in this case, a column default is not required - we can simply insert the default value into the rebuild SELECT clause. Changing an existing NULL to a NOT NULL column To implement this, we run an UPDATE command before the ALTER TABLE to change all the NULLs in the column to the required default value. For all three, we need some way of allowing the user to specify a default value to use instead of NULL; as this is essentially the same problem as datatype conversion (inserting values into the sync script), we can re-use the UI and engine implementation of datatype conversion values. We also provide the option to alter the new column to allow NULLs, or to ignore the problem completely. Note that there is the same (long-running) problem in SQL Compare, but it is much more of an issue in Oracle as you cannot easily roll back executed DDL statements if the script fails at some point during execution. Furthermore, the engine of SQL Compare is far less conducive to inserting user-supplied values into the generated script. As we're writing the Schema Compare engine from scratch, we used what we learnt from the SQL Compare engine and designed it to be far more modular, which makes inserting procedures like this much easier.

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  • Network Administrators Past, Present, and Future

    Even in the short time that PCs have been signficantly networked, what it means to be a SysAdmin has changed dramatically. From the first LAN parties to the lumbering infrastructures of today, the role of SysAdmin has evolved and adapted to the shifting needs of users and corporations alike. Brien Posey has been on the front line of it all, and considers the future of this thus-far essential IT role.

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  • Building a List of All SharePoint Timer Jobs Programmatically in C#

    - by Damon
    One of the most frustrating things about SharePoint is that the difficulty in figuring something out is inversely proportional to the simplicity of what you are trying to accomplish.  Case in point, yesterday I wanted to get a list of all the timer jobs in SharePoint.  Having never done this nor having any idea of exactly how to do this right off the top of my head, I inquired to Google.  I like to think my Google-fu is fair to good, so I normally find exactly what I'm looking for in the first hit.  But on the topic of listing all SharePoint timer jobs all it came up with a PowerShell script command (Get-SPTimerJob) and nothing more. Refined search after refined search continued to turn up nothing. So apparently I am the only person on the planet who needs to get a list of the timer jobs in C#.  In case you are the second person on the planet who needs to do this, the code to do so follows: SPSecurity.RunWithElevatedPrivileges(() => {    var timerJobs = new List();    foreach (var job in SPAdministrationWebApplication.Local.JobDefinitions)    {       timerJobs.Add(job);    }    foreach (SPService curService in SPFarm.Local.Services)    {       foreach (var job in curService.JobDefinitions)       {          timerJobs.Add(job);       }     } }); For reference, you have the two for loops because the Central Admin web application doesn't end up being in the SPFarm.Local.Services group, so you have to get it manually from the SPAdministrationWebApplication.Local reference.

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  • Concurrent Affairs

    - by Tony Davis
    I once wrote an editorial, multi-core mania, on the conundrum of ever-increasing numbers of processor cores, but without the concurrent programming techniques to get anywhere near exploiting their performance potential. I came to the.controversial.conclusion that, while the problem loomed for all procedural languages, it was not a big issue for the vast majority of programmers. Two years later, I still think most programmers don't concern themselves overly with this issue, but I do think that's a bigger problem than I originally implied. Firstly, is the performance boost from writing code that can fully exploit all available cores worth the cost of the additional programming complexity? Right now, with quad-core processors that, at best, can make our programs four times faster, the answer is still no for many applications. But what happens in a few years, as the number of cores grows to 100 or even 1000? At this point, it becomes very hard to ignore the potential gains from exploiting concurrency. Possibly, I was optimistic to assume that, by the time we have 100-core processors, and most applications really needed to exploit them, some technology would be around to allow us to do so with relative ease. The ideal solution would be one that allows programmers to forget about the problem, in much the same way that garbage collection removed the need to worry too much about memory allocation. From all I can find on the topic, though, there is only a remote likelihood that we'll ever have a compiler that takes a program written in a single-threaded style and "auto-magically" converts it into an efficient, correct, multi-threaded program. At the same time, it seems clear that what is currently the most common solution, multi-threaded programming with shared memory, is unsustainable. As soon as a piece of state can be changed by a different thread of execution, the potential number of execution paths through your program grows exponentially with the number of threads. If you have two threads, each executing n instructions, then there are 2^n possible "interleavings" of those instructions. Of course, many of those interleavings will have identical behavior, but several won't. Not only does this make understanding how a program works an order of magnitude harder, but it will also result in irreproducible, non-deterministic, bugs. And of course, the problem will be many times worse when you have a hundred or a thousand threads. So what is the answer? All of the possible alternatives require a change in the way we write programs and, currently, seem to be plagued by performance issues. Software transactional memory (STM) applies the ideas of database transactions, and optimistic concurrency control, to memory. However, working out how to break down your program into sufficiently small transactions, so as to avoid contention issues, isn't easy. Another approach is concurrency with actors, where instead of having threads share memory, each thread runs in complete isolation, and communicates with others by passing messages. It simplifies concurrent programs but still has performance issues, if the threads need to operate on the same large piece of data. There are doubtless other possible solutions that I haven't mentioned, and I would love to know to what extent you, as a developer, are considering the problem of multi-core concurrency, what solution you currently favor, and why. Cheers, Tony.

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  • What's on Azure right now?

    - by RobbieT
    If you speak to Microsoft, they'll give you a number of active accounts, but what are those accounts actually running? It could be a collection of Hello World ASP.NET sites, or perhaps small exciting web start-ups, or maybe even the beginnings of large corporate moves to the cloud! I guess what I really wanted to know was who is using Azure but that's a much harder question to answer, so we'll stick to what for now. My super awesome comrade Theo Spears attempted to answer this by trawling every...(read more)

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  • SSIS Basics: Using the Merge Join Transformation

    SSIS is able to take sorted data from more than one OLE DB data source and merge them into one table which can then be sent to an OLE DB destination. This 'Merge Join' transformation works in a similar way to a SQL join by specifying a 'join key' relationship. this transformation can save a great deal of processing on the destination. Annette Allen, as usual, gives clear guidance on how to do it.

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  • An Introduction to ASP.NET MVC Extensibility

    Because ASP.NET MVC has been designed with extensibility as its design principle; almost every logical step of the processing pipeline can be replaced with your own implementation. In fact, the best way to develop applications with ASP.NET MVC is to extend the system, Simone starts a series that explains how to implement extensions to ASP.NET MVC, starting with the ones at the beginning of the pipeline (routing extensions) and finishing with the view extensions points.

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