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  • Open World 2012

    - by jeffrey.waterman
    For those of you fortunate enough to be attending this year's Oracle OpenWorld here is a sessions I recommend carving time out of your hectic schedule to attend: Public Sector General Session (session ID#: GEN8536) Wednesday, October 3, 10:15 a.m.–11:15 a.m., Westin San Francisco, Metropolitan III Room Speakers, Mark Johnson, SVP Oracle Public Sector; Peter Doolan, CTO Oracle Public Sector; Robert Livingston, founding partner of Livingston Group and former member of the US Congress. Join Mark Johnson for an update on Oracle in government. Mark will be joined by Peter Doolan and Robert Livingston to discuss current topics facing governments and how Oracle can help organizations achieve their goals. I'll be posting more interesting sessions as I peruse the conference agenda over the next week or so.  If you see an interesting session, please feel free to share your suggestions in the comments section.

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  • design of 'game engine' for small javascript games?

    - by Matt Ball
    I'm making a group of two or three simple javascript games for fun. After someone finishes one game, they'll be presented with a harder or easier version of another game depending on whether the original game was won or lost. I have a high-level question about the design of things: So far I've created a class for one game type that manages the interaction with the UI and the state of the game itself. But for tracking how many of the subgames have been won, or for understanding whether the next game presented should be more or less difficult, are there arguments to be made for making a 'game engine' class? How does the engine communicate to the games? For instance, when a game is won, how is that information relayed to the engine? Is there a better or more common design? (If you want to see what I have so far, the games are slowly taking shape here: https://github.com/yosemitebandit/candela and can be viewed at http://yosemitebandit.com/candela)

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  • Adam Bien Testimonial at GlassFish Community Event, JavaOne 2012

    - by arungupta
    Adam Bien, a self-employed enterprise Java consultant, an author of five star-rated books, a presenter, a Java Champion, a NetBeans Dream Team member, a JCP member, a JCP Expert Group Member of several Java EE groups, and with several other titles is one of the most vocal advocate of the Java EE platform. His code-driven workshops using Java EE 6, NetBeans, and GlassFish have won accolades at several developers' conferences all around the world. Adam has been using GlassFish for all his projects for many years. One of the reasons he uses GlassFish is because of high confidence that the Java EE compliance bug will be fixed faster. He find GlassFish very capable application server for faster development and continuous deployment. His own media properties are running on GlassFish with an Apache front-end. Good documentation, accessible source code, REST/Web/CLI administration and monitoring facilities are some other reasons to pick GlassFish. He presented at the recently concluded GlassFish community event at JavaOne 2012. You can watch the video (with transcript) below showing him in full action:

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  • Creating Wizard in ASP.NET MVC (Part 1)

    - by bipinjoshi
    At times you want to accept user input in your web applications by presenting them with a wizard driven user interface. A wizard driven user interface allows you to logically divide and group pieces of information so that user can fill them up easily in step-by-step manner. While creating a wizard is easy in ASP.NET Web Forms applications, you need to implement it yourself in ASP.NET MVC applications. There are more than one approaches to creating a wizard in ASP.NET MVC and this article shows one of them. In Part 1 of this article you will develop a wizard that stores its data in ASP.NET Session and the wizard works on traditional form submission.http://www.binaryintellect.net/articles/9a5fe277-6e7e-43e5-8408-a28ff5be7801.aspx    

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  • How to define AUTHPARAMS in Amazon EC2 API call

    - by The Joker
    I am trying to make an API call to EC2. I want to add my IP address to the security group. https://ec2.amazonaws.com/ ?Action=AuthorizeSecurityGroupIngress &GroupName=grppp20 &GroupId=sg-b2z982mq &IpPermissions.1.IpProtocol=tcp &IpPermissions.1.FromPort=3389 &IpPermissions.1.ToPort=3389 &IpPermissions.1.IpRanges.1.CidrIp=22.951.17.728/32 &&AWSAccessKeyId=AOPLDRACULALK6U7A And i get the following error. AWS was not able to validate the provided access credentials I have a secret access key & a username. I searched internet & found that we have to make a signature of the secret key & use it in the request instead of adding it directly. Can anyone tell me how to make a signature of my AWS secret key & how to use them with my API call? Let my secret key be: 2WwRiQzBs7RTFG4545PIOJ7812CXZ Username: thejoker

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  • SQL Saturday 43 in Redmond

    - by AjarnMark
    I attended my first SQLSaturday a couple of days ago, SQLSaturday #43 in Redmond (at Microsoft).  I got there really early, primarily because I forgot how fast I can get there from my home when nobody else is on the road.  On a weekday in rush hour traffic, that would have taken two hours to get there.  I gave myself 90 minutes, and actually got there in about 45.  Crazy! I made the mistake of going to the main Microsoft campus, but that’s not where the event was being held.  Instead it was in a big Microsoft conference center on the other side of the highway.  Fortunately, I had the address with me and quickly realized my mistake.  When I got back on track, I noticed that there were bright yellow signs out on the street corner that looked like they said they were for SOL Saturday, which actually was appropriate since it was the sunniest day around here in a long time. Since I was there so early, the registration was just getting setup, so I found Greg Larsen who was coordinating things and offered to help.  He put me to work with a group of people organizing the pre-printed raffle tickets and stuffing swag bags. I had never been to a SQLSaturday before this one, so I wasn’t exactly sure what to expect even though I have read about a few on some blogs.  It makes sense that each one will be a little bit different since they are almost completely volunteer driven, and the whole concept is still in its early stages.  I have been to the PASS Summit for the last several years, and was hoping for a smaller version of that.  Now, it’s not really fair to compare one free day of training run entirely by volunteers with a multi-day, $1,000+ event put on under the direction of a professional event management company.  But there are some parallels. At this SQLSaturday, there was no opening general session, just coffee and pastries in the common area / expo hallway and straight into the first group of sessions.  I don’t know if that was because there was no single room large enough to hold everyone, or for other reasons.  This worked out okay, but the organization guy in me would have preferred to have even a 15 minute welcome message from the organizers with a little overview of the day.  Even something as simple as, “Thanks to persons X, Y, and Z for helping put this together…Sessions will start in 20 minutes and are all in rooms down this hallway…the bathrooms are on the other side of the conference center…lunch today is pizza and we would like to thank sponsor Q for providing it.”  It doesn’t need to be much, certainly not a full-blown Keynote like at the PASS Summit, but something to use as a rallying point to pull everyone together and get the day off to an official start would be nice.  Again, there may have been logistical reasons why that was not feasible here.  I’m just putting out my thoughts for other SQLSaturday coordinators to consider. The event overall was great.  I believe that there were over 300 in attendance, and everything seemed to run smoothly.  At least from an attendee’s point of view where there was plenty of muffins in the morning and pizza in the afternoon, with plenty of pop to drink.  And hey, if you’ve got the food and drink covered, a lot of other stuff could go wrong and people will be very forgiving.  But as I said, everything appeared to run pretty smoothly, at least until Buck Woody showed up in his Oracle shirt.  Other than that, the volunteers did a great job! I was a little surprised by how few people in my own backyard that I know.  It makes sense if you really think about it, given how many companies must be using SQL Server around here.  I guess I just got spoiled coming into the PASS Summit with a few contacts that I already knew would be there.  Perhaps I have been spending too much time with too few people at the Summits and I need to step out and meet more folks.  Of course, it also is different since the Summit is the big national event and a number of the folks I know are spread out across the country, so the Summit is the only time we’re all in the same place at the same time.  I did make a few new contacts at SQLSaturday, and bumped into a couple of people that I knew (and a couple others that I only knew from Twitter, and didn’t even realize that they were here in the area). Other than the sheer entertainment value of Buck Woody’s session, the one that was probably the greatest value for me was a quick introduction to PowerShell.  I have not done anything with it yet, but I think it will be a good tool to use to implement my plans for automated database recovery testing.  I saw just enough at the session to take away some of the intimidation factor, and I am getting ready to jump in and see what I can put together in the next few weeks.  And that right there made the investment worthwhile.  So I encourage you, if you have the opportunity to go to a SQLSaturday event near you, go for it!

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  • Symbolic Regular Expression Exploration

    - by Robz / Fervent Coder
    This is a pretty sweet little tool. Rex (Regular Expression Exploration) is a tool that allows you to give it a regular expression and it returns matching strings. The example below creates10 strings that start and end with a number and have at least 2 characters: > rex.exe "^\d.*\d$" /k:10 This is something I could use to validate/generate the Regular Expressions I have created with both UppercuT and RoundhousE. Check out the video below: Margus Veanes - Rex - Symbolic Regular Expression Exploration Margus Veanes, a Researcher from the RiSE group at Microsoft Research, gives an overview of Rex, a tool that generates matching string from .NET regular expressions. Rex turns regular expres...

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  • Windows Azure End to End Examples

    - by BuckWoody
    I’m fascinated by the way people learn. I’m told there are several methods people use to understand new information, from reading to watching, from experiencing to exploring. Personally, I use multiple methods of learning when I encounter a new topic, usually starting with reading a bit about the concepts. I quickly want to put those into practice, however, especially in the technical realm. I immediately look for examples where I can start trying out the concepts. But I often want a “real” example – not just something that represents the concept, but something that is real-world, showing some feature I could actually use. And it’s no different with the Windows Azure platform – I like finding things I can do now, and actually use. So when I started learning Windows Azure, I of course began with the Windows Azure Training Kit – which has lots of examples and labs, presentations and so on. But from there, I wanted more examples I could learn from, and eventually teach others with. I was asked if I would write a few of those up, so here are the ones I use. CodePlex CodePlex is Microsoft’s version of an “Open Source” repository. Anyone can start a project, add code, documentation and more to it and make it available to the world, free of charge, using various licenses as they wish. Microsoft also uses this location for most of the examples we publish, and sample databases for SQL Server. If you search in CodePlex for “Azure”, you’ll come back with a list of projects that folks have posted, including those of us at Microsoft. The source code and documentation are there, so you can learn using actual examples of code that will do what you need. There’s everything from a simple table query to a full project that is sort of a “Corporate Dropbox” that uses Windows Azure Storage. The advantage is that this code is immediately usable. It’s searchable, and you can often find a complete solution to meet your needs. The disadvantage is that the code is pretty specific – it may not cover a huge project like you’re looking for. Also, depending on the author(s), you might not find the documentation level you want. Link: http://azureexamples.codeplex.com/site/search?query=Azure&ac=8    Tailspin Microsoft Patterns and Practices is a group here that does an amazing job at sharing standard ways of doing IT – from operations to coding. If you’re not familiar with this resource, make sure you read up on it. Long before I joined Microsoft I used their work in my daily job – saved a ton of time. It has resources not only for Windows Azure but other Microsoft software as well. The Patterns and Practices group also publishes full books – you can buy these, but many are also online for free. There’s an end-to-end example for Windows Azure using a company called “Tailspin”, and the work covers not only the code but the design of the full solution. If you really want to understand the thought that goes into a Platform-as-a-Service solution, this is an excellent resource. The advantages are that this is a book, it’s complete, and it includes a discussion of design decisions. The disadvantage is that it’s a little over a year old – and in “Cloud” years that’s a lot. So many things have changed, improved, and have been added that you need to treat this as a resource, but not the only one. Still, highly recommended. Link: http://msdn.microsoft.com/en-us/library/ff728592.aspx Azure Stock Trader Sometimes you need a mix of a CodePlex-style application, and a little more detail on how it was put together. And it would be great if you could actually play with the completed application, to see how it really functions on the actual platform. That’s the Azure Stock Trader application. There’s a place where you can read about the application, and then it’s been published to Windows Azure – the production platform – and you can use it, explore, and see how it performs. I use this application all the time to demonstrate Windows Azure, or a particular part of Windows Azure. The advantage is that this is an end-to-end application, and online as well. The disadvantage is that it takes a bit of self-learning to work through.  Links: Learn it: http://msdn.microsoft.com/en-us/netframework/bb499684 Use it: https://azurestocktrader.cloudapp.net/

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  • Oracle Linux 6 Implementation Essentials Certification Exam Now Available

    - by Antoinette O'Sullivan
    Get proof of your linux system administration skills by taking the Oracle Linux 6 Implementation Essentials Certification exam. This certification is available to all candidates. Oracle Partner Members earning this certification will be recognized as OPN Certified Specialists. This certification takes under 3 hours, asking you between 120-150 questions on areas including: Introduction to Oracle Linux Installing Oracle Linux 6 Linux Boot Process Oracle Linux System Configuration and Process Management Oracle Linux Package Management Ksplice Zero Downtime Updates Automate Tasks and System Logging User and Group Administration Oracle Linux File Sytems and Storage Administration Network Administration Oracle Linux System Monitoring and Troubleshooting Oracle Certifications are among the most sought after badges of credibility for expertise in the Information Technology marketplace. See Benefits of Oracle Certification for more information. To prepare for this exam, you can take the Oracle Linux System Administration training.

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  • Oracle saves with Oracle Database 11g and Advanced Compression

    - by jenny.gelhausen
    Oracle Corporation runs a centralized eBusiness Suite system on Oracle Database 11g for all its employees around the globe. This clustered Global Single Instance (GSI) has scaled seamlessly with many acquisitions over the years, doubling the number of employees since 2001 and supporting around 100,000 employees today, 24 hours a day, 7 days a week around the world. In this podcast, you'll hear from Raji Mani, IT Director for Oracle's PDIT Group, on how Oracle Database 11g and Advanced Compression is helping to save big on storage costs. var gaJsHost = (("https:" == document.location.protocol) ? "https://ssl." : "http://www."); document.write(unescape("%3Cscript src='" + gaJsHost + "google-analytics.com/ga.js' type='text/javascript'%3E%3C/script%3E")); try { var pageTracker = _gat._getTracker("UA-13185312-1"); pageTracker._trackPageview(); } catch(err) {}

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  • Much Ado About Nothing: Stub Objects

    - by user9154181
    The Solaris 11 link-editor (ld) contains support for a new type of object that we call a stub object. A stub object is a shared object, built entirely from mapfiles, that supplies the same linking interface as the real object, while containing no code or data. Stub objects cannot be executed — the runtime linker will kill any process that attempts to load one. However, you can link to a stub object as a dependency, allowing the stub to act as a proxy for the real version of the object. You may well wonder if there is a point to producing an object that contains nothing but linking interface. As it turns out, stub objects are very useful for building large bodies of code such as Solaris. In the last year, we've had considerable success in applying them to one of our oldest and thorniest build problems. In this discussion, I will describe how we came to invent these objects, and how we apply them to building Solaris. This posting explains where the idea for stub objects came from, and details our long and twisty journey from hallway idea to standard link-editor feature. I expect that these details are mainly of interest to those who work on Solaris and its makefiles, those who have done so in the past, and those who work with other similar bodies of code. A subsequent posting will omit the history and background details, and instead discuss how to build and use stub objects. If you are mainly interested in what stub objects are, and don't care about the underlying software war stories, I encourage you to skip ahead. The Long Road To Stubs This all started for me with an email discussion in May of 2008, regarding a change request that was filed in 2002, entitled: 4631488 lib/Makefile is too patient: .WAITs should be reduced This CR encapsulates a number of cronic issues with Solaris builds: We build Solaris with a parallel make (dmake) that tries to build as much of the code base in parallel as possible. There is a lot of code to build, and we've long made use of parallelized builds to get the job done quicker. This is even more important in today's world of massively multicore hardware. Solaris contains a large number of executables and shared objects. Executables depend on shared objects, and shared objects can depend on each other. Before you can build an object, you need to ensure that the objects it needs have been built. This implies a need for serialization, which is in direct opposition to the desire to build everying in parallel. To accurately build objects in the right order requires an accurate set of make rules defining the things that depend on each other. This sounds simple, but the reality is quite complex. In practice, having programmers explicitly specify these dependencies is a losing strategy: It's really hard to get right. It's really easy to get it wrong and never know it because things build anyway. Even if you get it right, it won't stay that way, because dependencies between objects can change over time, and make cannot help you detect such drifing. You won't know that you got it wrong until the builds break. That can be a long time after the change that triggered the breakage happened, making it hard to connect the cause and the effect. Usually this happens just before a release, when the pressure is on, its hard to think calmly, and there is no time for deep fixes. As a poor compromise, the libraries in core Solaris were built using a set of grossly incomplete hand written rules, supplemented with a number of dmake .WAIT directives used to group the libraries into sets of non-interacting groups that can be built in parallel because we think they don't depend on each other. From time to time, someone will suggest that we could analyze the built objects themselves to determine their dependencies and then generate make rules based on those relationships. This is possible, but but there are complications that limit the usefulness of that approach: To analyze an object, you have to build it first. This is a classic chicken and egg scenario. You could analyze the results of a previous build, but then you're not necessarily going to get accurate rules for the current code. It should be possible to build the code without having a built workspace available. The analysis will take time, and remember that we're constantly trying to make builds faster, not slower. By definition, such an approach will always be approximate, and therefore only incremantally more accurate than the hand written rules described above. The hand written rules are fast and cheap, while this idea is slow and complex, so we stayed with the hand written approach. Solaris was built that way, essentially forever, because these are genuinely difficult problems that had no easy answer. The makefiles were full of build races in which the right outcomes happened reliably for years until a new machine or a change in build server workload upset the accidental balance of things. After figuring out what had happened, you'd mutter "How did that ever work?", add another incomplete and soon to be inaccurate make dependency rule to the system, and move on. This was not a satisfying solution, as we tend to be perfectionists in the Solaris group, but we didn't have a better answer. It worked well enough, approximately. And so it went for years. We needed a different approach — a new idea to cut the Gordian Knot. In that discussion from May 2008, my fellow linker-alien Rod Evans had the initial spark that lead us to a game changing series of realizations: The link-editor is used to link objects together, but it only uses the ELF metadata in the object, consisting of symbol tables, ELF versioning sections, and similar data. Notably, it does not look at, or understand, the machine code that makes an object useful at runtime. If you had an object that only contained the ELF metadata for a dependency, but not the code or data, the link-editor would find it equally useful for linking, and would never know the difference. Call it a stub object. In the core Solaris OS, we require all objects to be built with a link-editor mapfile that describes all of its publically available functions and data. Could we build a stub object using the mapfile for the real object? It ought to be very fast to build stub objects, as there are no input objects to process. Unlike the real object, stub objects would not actually require any dependencies, and so, all of the stubs for the entire system could be built in parallel. When building the real objects, one could link against the stub objects instead of the real dependencies. This means that all the real objects can be built built in parallel too, without any serialization. We could replace a system that requires perfect makefile rules with a system that requires no ordering rules whatsoever. The results would be considerably more robust. We immediately realized that this idea had potential, but also that there were many details to sort out, lots of work to do, and that perhaps it wouldn't really pan out. As is often the case, it would be necessary to do the work and see how it turned out. Following that conversation, I set about trying to build a stub object. We determined that a faithful stub has to do the following: Present the same set of global symbols, with the same ELF versioning, as the real object. Functions are simple — it suffices to have a symbol of the right type, possibly, but not necessarily, referencing a null function in its text segment. Copy relocations make data more complicated to stub. The possibility of a copy relocation means that when you create a stub, the data symbols must have the actual size of the real data. Any error in this will go uncaught at link time, and will cause tragic failures at runtime that are very hard to diagnose. For reasons too obscure to go into here, involving tentative symbols, it is also important that the data reside in bss, or not, matching its placement in the real object. If the real object has more than one symbol pointing at the same data item, we call these aliased symbols. All data symbols in the stub object must exhibit the same aliasing as the real object. We imagined the stub library feature working as follows: A command line option to ld tells it to produce a stub rather than a real object. In this mode, only mapfiles are examined, and any object or shared libraries on the command line are are ignored. The extra information needed (function or data, size, and bss details) would be added to the mapfile. When building the real object instead of the stub, the extra information for building stubs would be validated against the resulting object to ensure that they match. In exploring these ideas, I immediately run headfirst into the reality of the original mapfile syntax, a subject that I would later write about as The Problem(s) With Solaris SVR4 Link-Editor Mapfiles. The idea of extending that poor language was a non-starter. Until a better mapfile syntax became available, which seemed unlikely in 2008, the solution could not involve extentions to the mapfile syntax. Instead, we cooked up the idea (hack) of augmenting mapfiles with stylized comments that would carry the necessary information. A typical definition might look like: # DATA(i386) __iob 0x3c0 # DATA(amd64,sparcv9) __iob 0xa00 # DATA(sparc) __iob 0x140 iob; A further problem then became clear: If we can't extend the mapfile syntax, then there's no good way to extend ld with an option to produce stub objects, and to validate them against the real objects. The idea of having ld read comments in a mapfile and parse them for content is an unacceptable hack. The entire point of comments is that they are strictly for the human reader, and explicitly ignored by the tool. Taking all of these speed bumps into account, I made a new plan: A perl script reads the mapfiles, generates some small C glue code to produce empty functions and data definitions, compiles and links the stub object from the generated glue code, and then deletes the generated glue code. Another perl script used after both objects have been built, to compare the real and stub objects, using data from elfdump, and validate that they present the same linking interface. By June 2008, I had written the above, and generated a stub object for libc. It was a useful prototype process to go through, and it allowed me to explore the ideas at a deep level. Ultimately though, the result was unsatisfactory as a basis for real product. There were so many issues: The use of stylized comments were fine for a prototype, but not close to professional enough for shipping product. The idea of having to document and support it was a large concern. The ideal solution for stub objects really does involve having the link-editor accept the same arguments used to build the real object, augmented with a single extra command line option. Any other solution, such as our prototype script, will require makefiles to be modified in deeper ways to support building stubs, and so, will raise barriers to converting existing code. A validation script that rederives what the linker knew when it built an object will always be at a disadvantage relative to the actual linker that did the work. A stub object should be identifyable as such. In the prototype, there was no tag or other metadata that would let you know that they weren't real objects. Being able to identify a stub object in this way means that the file command can tell you what it is, and that the runtime linker can refuse to try and run a program that loads one. At that point, we needed to apply this prototype to building Solaris. As you might imagine, the task of modifying all the makefiles in the core Solaris code base in order to do this is a massive task, and not something you'd enter into lightly. The quality of the prototype just wasn't good enough to justify that sort of time commitment, so I tabled the project, putting it on my list of long term things to think about, and moved on to other work. It would sit there for a couple of years. Semi-coincidentally, one of the projects I tacked after that was to create a new mapfile syntax for the Solaris link-editor. We had wanted to do something about the old mapfile syntax for many years. Others before me had done some paper designs, and a great deal of thought had already gone into the features it should, and should not have, but for various reasons things had never moved beyond the idea stage. When I joined Sun in late 2005, I got involved in reviewing those things and thinking about the problem. Now in 2008, fresh from relearning for the Nth time why the old mapfile syntax was a huge impediment to linker progress, it seemed like the right time to tackle the mapfile issue. Paving the way for proper stub object support was not the driving force behind that effort, but I certainly had them in mind as I moved forward. The new mapfile syntax, which we call version 2, integrated into Nevada build snv_135 in in February 2010: 6916788 ld version 2 mapfile syntax PSARC/2009/688 Human readable and extensible ld mapfile syntax In order to prove that the new mapfile syntax was adequate for general purpose use, I had also done an overhaul of the ON consolidation to convert all mapfiles to use the new syntax, and put checks in place that would ensure that no use of the old syntax would creep back in. That work went back into snv_144 in June 2010: 6916796 OSnet mapfiles should use version 2 link-editor syntax That was a big putback, modifying 517 files, adding 18 new files, and removing 110 old ones. I would have done this putback anyway, as the work was already done, and the benefits of human readable syntax are obvious. However, among the justifications listed in CR 6916796 was this We anticipate adding additional features to the new mapfile language that will be applicable to ON, and which will require all sharable object mapfiles to use the new syntax. I never explained what those additional features were, and no one asked. It was premature to say so, but this was a reference to stub objects. By that point, I had already put together a working prototype link-editor with the necessary support for stub objects. I was pleased to find that building stubs was indeed very fast. On my desktop system (Ultra 24), an amd64 stub for libc can can be built in a fraction of a second: % ptime ld -64 -z stub -o stubs/libc.so.1 -G -hlibc.so.1 \ -ztext -zdefs -Bdirect ... real 0.019708910 user 0.010101680 sys 0.008528431 In order to go from prototype to integrated link-editor feature, I knew that I would need to prove that stub objects were valuable. And to do that, I knew that I'd have to switch the Solaris ON consolidation to use stub objects and evaluate the outcome. And in order to do that experiment, ON would first need to be converted to version 2 mapfiles. Sub-mission accomplished. Normally when you design a new feature, you can devise reasonably small tests to show it works, and then deploy it incrementally, letting it prove its value as it goes. The entire point of stub objects however was to demonstrate that they could be successfully applied to an extremely large and complex code base, and specifically to solve the Solaris build issues detailed above. There was no way to finesse the matter — in order to move ahead, I would have to successfully use stub objects to build the entire ON consolidation and demonstrate their value. In software, the need to boil the ocean can often be a warning sign that things are trending in the wrong direction. Conversely, sometimes progress demands that you build something large and new all at once. A big win, or a big loss — sometimes all you can do is try it and see what happens. And so, I spent some time staring at ON makefiles trying to get a handle on how things work, and how they'd have to change. It's a big and messy world, full of complex interactions, unspecified dependencies, special cases, and knowledge of arcane makefile features... ...and so, I backed away, put it down for a few months and did other work... ...until the fall, when I felt like it was time to stop thinking and pondering (some would say stalling) and get on with it. Without stubs, the following gives a simplified high level view of how Solaris is built: An initially empty directory known as the proto, and referenced via the ROOT makefile macro is established to receive the files that make up the Solaris distribution. A top level setup rule creates the proto area, and performs operations needed to initialize the workspace so that the main build operations can be launched, such as copying needed header files into the proto area. Parallel builds are launched to build the kernel (usr/src/uts), libraries (usr/src/lib), and commands. The install makefile target builds each item and delivers a copy to the proto area. All libraries and executables link against the objects previously installed in the proto, implying the need to synchronize the order in which things are built. Subsequent passes run lint, and do packaging. Given this structure, the additions to use stub objects are: A new second proto area is established, known as the stub proto and referenced via the STUBROOT makefile macro. The stub proto has the same structure as the real proto, but is used to hold stub objects. All files in the real proto are delivered as part of the Solaris product. In contrast, the stub proto is used to build the product, and then thrown away. A new target is added to library Makefiles called stub. This rule builds the stub objects. The ld command is designed so that you can build a stub object using the same ld command line you'd use to build the real object, with the addition of a single -z stub option. This means that the makefile rules for building the stub objects are very similar to those used to build the real objects, and many existing makefile definitions can be shared between them. A new target is added to the Makefiles called stubinstall which delivers the stub objects built by the stub rule into the stub proto. These rules reuse much of existing plumbing used by the existing install rule. The setup rule runs stubinstall over the entire lib subtree as part of its initialization. All libraries and executables link against the objects in the stub proto rather than the main proto, and can therefore be built in parallel without any synchronization. There was no small way to try this that would yield meaningful results. I would have to take a leap of faith and edit approximately 1850 makefiles and 300 mapfiles first, trusting that it would all work out. Once the editing was done, I'd type make and see what happened. This took about 6 weeks to do, and there were many dark days when I'd question the entire project, or struggle to understand some of the many twisted and complex situations I'd uncover in the makefiles. I even found a couple of new issues that required changes to the new stub object related code I'd added to ld. With a substantial amount of encouragement and help from some key people in the Solaris group, I eventually got the editing done and stub objects for the entire workspace built. I found that my desktop system could build all the stub objects in the workspace in roughly a minute. This was great news, as it meant that use of the feature is effectively free — no one was likely to notice or care about the cost of building them. After another week of typing make, fixing whatever failed, and doing it again, I succeeded in getting a complete build! The next step was to remove all of the make rules and .WAIT statements dedicated to controlling the order in which libraries under usr/src/lib are built. This came together pretty quickly, and after a few more speed bumps, I had a workspace that built cleanly and looked like something you might actually be able to integrate someday. This was a significant milestone, but there was still much left to do. I turned to doing full nightly builds. Every type of build (open, closed, OpenSolaris, export, domestic) had to be tried. Each type failed in a new and unique way, requiring some thinking and rework. As things came together, I became aware of things that could have been done better, simpler, or cleaner, and those things also required some rethinking, the seeking of wisdom from others, and some rework. After another couple of weeks, it was in close to final form. My focus turned towards the end game and integration. This was a huge workspace, and needed to go back soon, before changes in the gate would made merging increasingly difficult. At this point, I knew that the stub objects had greatly simplified the makefile logic and uncovered a number of race conditions, some of which had been there for years. I assumed that the builds were faster too, so I did some builds intended to quantify the speedup in build time that resulted from this approach. It had never occurred to me that there might not be one. And so, I was very surprised to find that the wall clock build times for a stock ON workspace were essentially identical to the times for my stub library enabled version! This is why it is important to always measure, and not just to assume. One can tell from first principles, based on all those removed dependency rules in the library makefile, that the stub object version of ON gives dmake considerably more opportunities to overlap library construction. Some hypothesis were proposed, and shot down: Could we have disabled dmakes parallel feature? No, a quick check showed things being build in parallel. It was suggested that we might be I/O bound, and so, the threads would be mostly idle. That's a plausible explanation, but system stats didn't really support it. Plus, the timing between the stub and non-stub cases were just too suspiciously identical. Are our machines already handling as much parallelism as they are capable of, and unable to exploit these additional opportunities? Once again, we didn't see the evidence to back this up. Eventually, a more plausible and obvious reason emerged: We build the libraries and commands (usr/src/lib, usr/src/cmd) in parallel with the kernel (usr/src/uts). The kernel is the long leg in that race, and so, wall clock measurements of build time are essentially showing how long it takes to build uts. Although it would have been nice to post a huge speedup immediately, we can take solace in knowing that stub objects simplify the makefiles and reduce the possibility of race conditions. The next step in reducing build time should be to find ways to reduce or overlap the uts part of the builds. When that leg of the build becomes shorter, then the increased parallelism in the libs and commands will pay additional dividends. Until then, we'll just have to settle for simpler and more robust. And so, I integrated the link-editor support for creating stub objects into snv_153 (November 2010) with 6993877 ld should produce stub objects PSARC/2010/397 ELF Stub Objects followed by the work to convert the ON consolidation in snv_161 (February 2011) with 7009826 OSnet should use stub objects 4631488 lib/Makefile is too patient: .WAITs should be reduced This was a huge putback, with 2108 modified files, 8 new files, and 2 removed files. Due to the size, I was allowed a window after snv_160 closed in which to do the putback. It went pretty smoothly for something this big, a few more preexisting race conditions would be discovered and addressed over the next few weeks, and things have been quiet since then. Conclusions and Looking Forward Solaris has been built with stub objects since February. The fact that developers no longer specify the order in which libraries are built has been a big success, and we've eliminated an entire class of build error. That's not to say that there are no build races left in the ON makefiles, but we've taken a substantial bite out of the problem while generally simplifying and improving things. The introduction of a stub proto area has also opened some interesting new possibilities for other build improvements. As this article has become quite long, and as those uses do not involve stub objects, I will defer that discussion to a future article.

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  • What is the best Programming Language for Kiosk Application? [closed]

    - by Jen Lin
    I need your suggestions guys regarding the project I'm planning to create. I want to create a kiosk software/application that is capable to access database in a server. (So, there's a networking here..)Because the information that will be displayed in a Kiosk screen will be coming from a database in other computer. So my problem here is, I don't know which programming language is the best for this kind of application. I'm thinking about using Visual Basic 6.0 since my group is comfortable using this programming language, but I also want to consider the design. I don't like a plain button. Hope to hear from you guys, thanks much :)

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  • Advancing Code Review and Unit Testing Practice

    - by Graviton
    As a team lead managing a group of developers with no experience ( and see no need) in code review and unit testing, how can you advance code review and unit testing practice? How are you going to create a way so that code review and unit testing to naturally fit into the developer's flow? One of the resistance of these two areas is that "we are always tight on dateline, so no time for code review and unit testing". Another resistance for code review is that we currently don't know how to do it. Should we review the code upon every check-in, or review the code at a specified date?

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  • Can I use a genetic algorithm for balancing character builds?

    - by Renan Malke Stigliani
    I'm starting to build a online PVP (duel like, one-on-one) game, where there is leveling, skill points, special attacks and all the common stuff. Since I have never done anything like this, I'm still thinking about the math behind the levels/skills/specials balance. So I thought a good way of testing the best builds/combos, would be to implement a Genetic Algorithm. It'd be like this: Generate a big group of random characters Make them fight, level them up accordingly to their victories(more XP)/losses(less XP) Mate the winners, crossing their builds, to try and make even better characters Add some more random chars, emulating new players Repeat the process for some time, or util I find some chars who can beat everyone's butt I could then play with the math and try to find better balances to make sure that the top x% of chars would be a mix of various build types. So, is it a good idea, or is there some other, easier method to do the balancing?

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  • Did You Know? What settings to always change

    - by Kalen Delaney
    A week ago, I taught my SQL Server 2012 Internals class to a great group of very interactive students. Even though a dozen of them were taking the class remotely, there were still lots of really great questions and and lots of discussion. One of the students asked if I could summarize all the settings that I recommended changing from the default, right out of the box. I said I’d try to put a list together by the end of the week, but I didn’t make it. So I said I would put it together and blog it....(read more)

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  • SQL SERVER – Selecting Domain from Email Address

    - by pinaldave
    Recently I came across a quick need where I needed to retrieve domain of the email address. The email address is in the database table. I quickly wrote following script which will extract the domain and will also count how many email addresses are there with the same domain address. SELECT RIGHT(Email, LEN(Email) - CHARINDEX('@', email)) Domain , COUNT(Email) EmailCount FROM   dbo.email WHERE  LEN(Email) > 0 GROUP BY RIGHT(Email, LEN(Email) - CHARINDEX('@', email)) ORDER BY EmailCount DESC Above script will select the domain after @ character. Please note, if there is more than one @ character in the email, this script will not work as that email address is already invalid. Do you have any similar script which can do the same thing efficiently? Please post as a comment. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • Latest AutoVue Podcast - Customer Success at Ringhals/Vattenfall

    - by pam.petropoulos(at)oracle.com
    Ringhals, a Swedish nuclear power plant, part of the Vattenfall Group, produces 20% of the country's electricity and is the largest power station in the Nordic region. Ringhals has standardized on AutoVue for most of their engineering and asset document visualization requirements throughout their plant maintenance, design and engineering operations. This audio interview, hosted by Folia Grace, Oracle Vice President of Application Product Marketing, features Harald Carlsson, Documentation Administrator at Ringhals/Vattenfall. Hear Harald describe how they have cut IT maintenance costs, increased productivity, and improved maintenance operations throughout their facility. Click here to listen to the podcast

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  • Implementing a "state-machine" logic for methods required by an object in C++

    - by user827992
    What I have: 1 hypothetical object/class + other classes and related methods that gives me functionality. What I want: linking this object to 0 to N methods in realtime on request when an event is triggered Each event is related to a single method or a class, so a single event does not necessarily mean "connect this 1 method only" but can also mean "connect all the methods from that class or a group of methods" Avoiding linked lists because I have to browse the entire list to know what methods are linked, because this does not ensure me that the linked methods are kept in a particular order (let's say an alphabetic order by their names or classes), and also because this involve a massive amount of pointers usage. Example: I have an object Employee Jon, Jon acquires knowledge and forgets things pretty easily, so his skills may vary during a period of time, I'm responsible for what Jon can add or remove from his CV, how can I implement this logic?

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  • How Are Businesses Advancing with the Experience Revolution?

    - by Charles Knapp
    Businesses worldwide are operating in a new era. Customers are taking charge of their relationships with brands, and the customer experience has become the most important differentiator and driver of business value. Where is the experience heading? And how can businesses take advantage of the customer experience revolution? Find out from the experts at a one-of-a-kind event: the Oracle Customer Experience Summit at Oracle OpenWorld, San Francisco, October 3-5. Our featured speakers are global visionaries including Seth Godin, George Kembel from the Stanford d:School, Bruce Temkin, Kerry Bodine and Paul Hagen from Forrester, and Gene Alvarez from Gartner. Featured industry leaders will include speakers from Athene Group, Bazaarvoice, Comcast, Consortium of Service Innovation, Haworth, Intuit, KPN, Marriott, Nikon, Quicksilver, Royal Caribbean, SapientNitro, Southwest, Stryker, Stuart Concannon, and Twilio. Featured speakers from Oracle will include Oracle President Mark Hurd, Anthony Lye, David Vap, Brian Curran, John Kembel, and Matthew Banks. So, please join us at the Customer Experience Summit at the Oracle OpenWorld Conference.

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  • 5 tipologie di consumatori con cui confrontarsi per rendere vincenti le proprie strategie di CRM

    - by antonella.buonagurio(at)oracle.com
    Sono 5 le tipologie di consumatori che  rappresentano 5 differenti modalità di acquisto di cui le aziende devono tenere in considerazione nella pianificazione dei propri piani strategici del 2011. Oltre al "consumatore just-in-time", già citato in un precedente articolo apparso sul Wall Street Journal a Novembre ecco le altre tipologie evidenziate da Lioe Arussy (Strativity Group). Il consumatore alla ricerca degli sconti Il consumatore diffidente Il consumatore timoroso Il consumatore fai-da-te Il consumatore indulgente Per ognuno di queste categorie viene evidenziato il modello di comportamento e il conseguente modello di acquisto. Per saperne di più 

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  • New York City!!

    - by Chris Williams
    I'm headed to NYC to speak at the NYPC VB SIG (user group: http://www.nypcvb.org) on Monday Feb 7 at 6pm. I'll actually be arriving on Saturday (2/5/11) and hanging around through the weekend until the meeting. It's my 3rd time in New York City, but the first time was 20 years ago, so I'm not sure that one counts. Aside from the usual touristy things to do, like seeing the Statue of Liberty and the Empire State Building (both of which are on my list), what are some other cool things to check out? Got a favorite pizza place? A cool comic shop? Local hangout... Tell me about it!

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  • Silverlight Cream for April 09, 2010 -- #835

    - by Dave Campbell
    In this Issue: Tim Heuer, smartyP, and Kevin Moore. From SilverlightCream.com: Using XNA libraries in your Silverlight Windows Phone 7 applications Tim Heuer has a post up using XNA on WP7 to hook up sound to a 'normal' Silverlight WP7 app... so there ya go! Example Pivot Control for Windows Phone 7 smartyP acknowledges that he said he was done with the Pivot control for WP7 and yes he realizes we're most likely going to get one from Microsoft, but just like the rest of us, he just couldn't leave it alone :) Bag of Tricks Update (two years in the making) I found this via Cool view transitions using ZapScoller by Rudi Grobler, and it points at Kevin Moore's Bag of Tricks Update for Silverlight 4 and WPF ... just the fact that Robby Ingebretsen is using it means we should all rush to CodePlex and absorb it :) Stay in the 'Light! Twitter SilverlightNews | Twitter WynApse | WynApse.com | Tagged Posts | SilverlightCream Join me @ SilverlightCream | Phoenix Silverlight User Group Technorati Tags: Silverlight    Silverlight 3    Silverlight 4    Windows Phone MIX10

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  • Towards Database Continuous Delivery – What Next after Continuous Integration? A Checklist

    - by Ben Rees
    .dbd-banner p{ font-size:0.75em; padding:0 0 10px; margin:0 } .dbd-banner p span{ color:#675C6D; } .dbd-banner p:last-child{ padding:0; } @media ALL and (max-width:640px){ .dbd-banner{ background:#f0f0f0; padding:5px; color:#333; margin-top: 5px; } } -- Database delivery patterns & practices STAGE 4 AUTOMATED DEPLOYMENT If you’ve been fortunate enough to get to the stage where you’ve implemented some sort of continuous integration process for your database updates, then hopefully you’re seeing the benefits of that investment – constant feedback on changes your devs are making, advanced warning of data loss (prior to the production release on Saturday night!), a nice suite of automated tests to check business logic, so you know it’s going to work when it goes live, and so on. But what next? What can you do to improve your delivery process further, moving towards a full continuous delivery process for your database? In this article I describe some of the issues you might need to tackle on the next stage of this journey, and how to plan to overcome those obstacles before they appear. Our Database Delivery Learning Program consists of four stages, really three – source controlling a database, running continuous integration processes, then how to set up automated deployment (the middle stage is split in two – basic and advanced continuous integration, making four stages in total). If you’ve managed to work through the first three of these stages – source control, basic, then advanced CI, then you should have a solid change management process set up where, every time one of your team checks in a change to your database (whether schema or static reference data), this change gets fully tested automatically by your CI server. But this is only part of the story. Great, we know that our updates work, that the upgrade process works, that the upgrade isn’t going to wipe our 4Tb of production data with a single DROP TABLE. But – how do you get this (fully tested) release live? Continuous delivery means being always ready to release your software at any point in time. There’s a significant gap between your latest version being tested, and it being easily releasable. Just a quick note on terminology – there’s a nice piece here from Atlassian on the difference between continuous integration, continuous delivery and continuous deployment. This piece also gives a nice description of the benefits of continuous delivery. These benefits have been summed up by Jez Humble at Thoughtworks as: “Continuous delivery is a set of principles and practices to reduce the cost, time, and risk of delivering incremental changes to users” There’s another really useful piece here on Simple-Talk about the need for continuous delivery and how it applies to the database written by Phil Factor – specifically the extra needs and complexities of implementing a full CD solution for the database (compared to just implementing CD for, say, a web app). So, hopefully you’re convinced of moving on the the next stage! The next step after CI is to get some sort of automated deployment (or “release management”) process set up. But what should I do next? What do I need to plan and think about for getting my automated database deployment process set up? Can’t I just install one of the many release management tools available and hey presto, I’m ready! If only it were that simple. Below I list some of the areas that it’s worth spending a little time on, where a little planning and prep could go a long way. It’s also worth pointing out, that this should really be an evolving process. Depending on your starting point of course, it can be a long journey from your current setup to a full continuous delivery pipeline. If you’ve got a CI mechanism in place, you’re certainly a long way down that path. Nevertheless, we’d recommend evolving your process incrementally. Pages 157 and 129-141 of the book on Continuous Delivery (by Jez Humble and Dave Farley) have some great guidance on building up a pipeline incrementally: http://www.amazon.com/Continuous-Delivery-Deployment-Automation-Addison-Wesley/dp/0321601912 For now, in this post, we’ll look at the following areas for your checklist: You and Your Team Environments The Deployment Process Rollback and Recovery Development Practices You and Your Team It’s a cliché in the DevOps community that “It’s not all about processes and tools, really it’s all about a culture”. As stated in this DevOps report from Puppet Labs: “DevOps processes and tooling contribute to high performance, but these practices alone aren’t enough to achieve organizational success. The most common barriers to DevOps adoption are cultural: lack of manager or team buy-in, or the value of DevOps isn’t understood outside of a specific group”. Like most clichés, there’s truth in there – if you want to set up a database continuous delivery process, you need to get your boss, your department, your company (if relevant) onside. Why? Because it’s an investment with the benefits coming way down the line. But the benefits are huge – for HP, in the book A Practical Approach to Large-Scale Agile Development: How HP Transformed LaserJet FutureSmart Firmware, these are summarized as: -2008 to present: overall development costs reduced by 40% -Number of programs under development increased by 140% -Development costs per program down 78% -Firmware resources now driving innovation increased by a factor of 8 (from 5% working on new features to 40% But what does this mean? It means that, when moving to the next stage, to make that extra investment in automating your deployment process, it helps a lot if everyone is convinced that this is a good thing. That they understand the benefits of automated deployment and are willing to make the effort to transform to a new way of working. Incidentally, if you’re ever struggling to convince someone of the value I’d strongly recommend just buying them a copy of this book – a great read, and a very practical guide to how it can really work at a large org. I’ve spoken to many customers who have implemented database CI who describe their deployment process as “The point where automation breaks down. Up to that point, the CI process runs, untouched by human hand, but as soon as that’s finished we revert to manual.” This deployment process can involve, for example, a DBA manually comparing an environment (say, QA) to production, creating the upgrade scripts, reading through them, checking them against an Excel document emailed to him/her the night before, turning to page 29 in his/her notebook to double-check how replication is switched off and on for deployments, and so on and so on. Painful, error-prone and lengthy. But the point is, if this is something like your deployment process, telling your DBA “We’re changing everything you do and your toolset next week, to automate most of your role – that’s okay isn’t it?” isn’t likely to go down well. There’s some work here to bring him/her onside – to explain what you’re doing, why there will still be control of the deployment process and so on. Or of course, if you’re the DBA looking after this process, you have to do a similar job in reverse. You may have researched and worked out how you’d like to change your methodology to start automating your painful release process, but do the dev team know this? What if they have to start producing different artifacts for you? Will they be happy with this? Worth talking to them, to find out. As well as talking to your DBA/dev team, the other group to get involved before implementation is your manager. And possibly your manager’s manager too. As mentioned, unless there’s buy-in “from the top”, you’re going to hit problems when the implementation starts to get rocky (and what tool/process implementations don’t get rocky?!). You need to have support from someone senior in your organisation – someone you can turn to when you need help with a delayed implementation, lack of resources or lack of progress. Actions: Get your DBA involved (or whoever looks after live deployments) and discuss what you’re planning to do or, if you’re the DBA yourself, get the dev team up-to-speed with your plans, Get your boss involved too and make sure he/she is bought in to the investment. Environments Where are you going to deploy to? And really this question is – what environments do you want set up for your deployment pipeline? Assume everyone has “Production”, but do you have a QA environment? Dedicated development environments for each dev? Proper pre-production? I’ve seen every setup under the sun, and there is often a big difference between “What we want, to do continuous delivery properly” and “What we’re currently stuck with”. Some of these differences are: What we want What we’ve got Each developer with their own dedicated database environment A single shared “development” environment, used by everyone at once An Integration box used to test the integration of all check-ins via the CI process, along with a full suite of unit-tests running on that machine In fact if you have a CI process running, you’re likely to have some sort of integration server running (even if you don’t call it that!). Whether you have a full suite of unit tests running is a different question… Separate QA environment used explicitly for manual testing prior to release “We just test on the dev environments, or maybe pre-production” A proper pre-production (or “staging”) box that matches production as closely as possible Hopefully a pre-production box of some sort. But does it match production closely!? A production environment reproducible from source control A production box which has drifted significantly from anything in source control The big question is – how much time and effort are you going to invest in fixing these issues? In reality this just involves figuring out which new databases you’re going to create and where they’ll be hosted – VMs? Cloud-based? What about size/data issues – what data are you going to include on dev environments? Does it need to be masked to protect access to production data? And often the amount of work here really depends on whether you’re working on a new, greenfield project, or trying to update an existing, brownfield application. There’s a world if difference between starting from scratch with 4 or 5 clean environments (reproducible from source control of course!), and trying to re-purpose and tweak a set of existing databases, with all of their surrounding processes and quirks. But for a proper release management process, ideally you have: Dedicated development databases, An Integration server used for testing continuous integration and running unit tests. [NB: This is the point at which deployments are automatic, without human intervention. Each deployment after this point is a one-click (but human) action], QA – QA engineers use a one-click deployment process to automatically* deploy chosen releases to QA for testing, Pre-production. The environment you use to test the production release process, Production. * A note on the use of the word “automatic” – when carrying out automated deployments this does not mean that the deployment is happening without human intervention (i.e. that something is just deploying over and over again). It means that the process of carrying out the deployment is automatic in that it’s not a person manually running through a checklist or set of actions. The deployment still requires a single-click from a user. Actions: Get your environments set up and ready, Set access permissions appropriately, Make sure everyone understands what the environments will be used for (it’s not a “free-for-all” with all environments to be accessed, played with and changed by development). The Deployment Process As described earlier, most existing database deployment processes are pretty manual. The following is a description of a process we hear very often when we ask customers “How do your database changes get live? How does your manual process work?” Check pre-production matches production (use a schema compare tool, like SQL Compare). Sometimes done by taking a backup from production and restoring in to pre-prod, Again, use a schema compare tool to find the differences between the latest version of the database ready to go live (i.e. what the team have been developing). This generates a script, User (generally, the DBA), reviews the script. This often involves manually checking updates against a spreadsheet or similar, Run the script on pre-production, and check there are no errors (i.e. it upgrades pre-production to what you hoped), If all working, run the script on production.* * this assumes there’s no problem with production drifting away from pre-production in the interim time period (i.e. someone has hacked something in to the production box without going through the proper change management process). This difference could undermine the validity of your pre-production deployment test. Red Gate is currently working on a free tool to detect this problem – sign up here at www.sqllighthouse.com, if you’re interested in testing early versions. There are several variations on this process – some better, some much worse! How do you automate this? In particular, step 3 – surely you can’t automate a DBA checking through a script, that everything is in order!? The key point here is to plan what you want in your new deployment process. There are so many options. At one extreme, pure continuous deployment – whenever a dev checks something in to source control, the CI process runs (including extensive and thorough testing!), before the deployment process keys in and automatically deploys that change to the live box. Not for the faint hearted – and really not something we recommend. At the other extreme, you might be more comfortable with a semi-automated process – the pre-production/production matching process is automated (with an error thrown if these environments don’t match), followed by a manual intervention, allowing for script approval by the DBA. One he/she clicks “Okay, I’m happy for that to go live”, the latter stages automatically take the script through to live. And anything in between of course – and other variations. But we’d strongly recommended sitting down with a whiteboard and your team, and spending a couple of hours mapping out “What do we do now?”, “What do we actually want?”, “What will satisfy our needs for continuous delivery, but still maintaining some sort of continuous control over the process?” NB: Most of what we’re discussing here is about production deployments. It’s important to note that you will also need to map out a deployment process for earlier environments (for example QA). However, these are likely to be less onerous, and many customers opt for a much more automated process for these boxes. Actions: Sit down with your team and a whiteboard, and draw out the answers to the questions above for your production deployments – “What do we do now?”, “What do we actually want?”, “What will satisfy our needs for continuous delivery, but still maintaining some sort of continuous control over the process?” Repeat for earlier environments (QA and so on). Rollback and Recovery If only every deployment went according to plan! Unfortunately they don’t – and when things go wrong, you need a rollback or recovery plan for what you’re going to do in that situation. Once you move in to a more automated database deployment process, you’re far more likely to be deploying more frequently than before. No longer once every 6 months, maybe now once per week, or even daily. Hence the need for a quick rollback or recovery process becomes paramount, and should be planned for. NB: These are mainly scenarios for handling rollbacks after the transaction has been committed. If a failure is detected during the transaction, the whole transaction can just be rolled back, no problem. There are various options, which we’ll explore in subsequent articles, things like: Immediately restore from backup, Have a pre-tested rollback script (remembering that really this is a “roll-forward” script – there’s not really such a thing as a rollback script for a database!) Have fallback environments – for example, using a blue-green deployment pattern. Different options have pros and cons – some are easier to set up, some require more investment in infrastructure; and of course some work better than others (the key issue with using backups, is loss of the interim transaction data that has been added between the failed deployment and the restore). The best mechanism will be primarily dependent on how your application works and how much you need a cast-iron failsafe mechanism. Actions: Work out an appropriate rollback strategy based on how your application and business works, your appetite for investment and requirements for a completely failsafe process. Development Practices This is perhaps the more difficult area for people to tackle. The process by which you can deploy database updates is actually intrinsically linked with the patterns and practices used to develop that database and linked application. So you need to decide whether you want to implement some changes to the way your developers actually develop the database (particularly schema changes) to make the deployment process easier. A good example is the pattern “Branch by abstraction”. Explained nicely here, by Martin Fowler, this is a process that can be used to make significant database changes (e.g. splitting a table) in a step-wise manner so that you can always roll back, without data loss – by making incremental updates to the database backward compatible. Slides 103-108 of the following slidedeck, from Niek Bartholomeus explain the process: https://speakerdeck.com/niekbartho/orchestration-in-meatspace As these slides show, by making a significant schema change in multiple steps – where each step can be rolled back without any loss of new data – this affords the release team the opportunity to have zero-downtime deployments with considerably less stress (because if an increment goes wrong, they can roll back easily). There are plenty more great patterns that can be implemented – the book Refactoring Databases, by Scott Ambler and Pramod Sadalage is a great read, if this is a direction you want to go in: http://www.amazon.com/Refactoring-Databases-Evolutionary-paperback-Addison-Wesley/dp/0321774515 But the question is – how much of this investment are you willing to make? How often are you making significant schema changes that would require these best practices? Again, there’s a difference here between migrating old projects and starting afresh – with the latter it’s much easier to instigate best practice from the start. Actions: For your business, work out how far down the path you want to go, amending your database development patterns to “best practice”. It’s a trade-off between implementing quality processes, and the necessity to do so (depending on how often you make complex changes). Socialise these changes with your development group. No-one likes having “best practice” changes imposed on them, so good to introduce these ideas and the rationale behind them early.   Summary The next stages of implementing a continuous delivery pipeline for your database changes (once you have CI up and running) require a little pre-planning, if you want to get the most out of the work, and for the implementation to go smoothly. We’ve covered some of the checklist of areas to consider – mainly in the areas of “Getting the team ready for the changes that are coming” and “Planning our your pipeline, environments, patterns and practices for development”, though there will be more detail, depending on where you’re coming from – and where you want to get to. This article is part of our database delivery patterns & practices series on Simple Talk. Find more articles for version control, automated testing, continuous integration & deployment.

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  • Podcast Show Notes: Collaborate 10 Wrap-Up - Conclusion

    - by Bob Rhubart
    Both parts of my conversation with a small army of people at Collaborate 10 are now available. Listen to Part 1 Listen to Part 2   Here’s the complete list of participants: Floyd Teter - Project Manager at Jet Propulsion Lab, OAUG Board Blog | Twitter | LinkedIn | Oracle Mix | Oracle ACE Profile Mark Rittman - EMEA Technical Director and Co-Founder, Rittman Mead,  ODTUG Board Blog | Twitter | LinkedIn | Oracle Mix | Oracle ACE Profile Chet Justice - OBI Consultant at BI Wizards Blog | Twitter | LinkedIn | Oracle Mix | Oracle ACE Profile Elke Phelps - Oracle Applications DBA at Humana, OAUG SIG Chair Blog | LinkedIn | Oracle Mix | Book | Oracle ACE Profile Paul Jackson - Oracle Applications DBA at Humana Blog | LinkedIn | Oracle Mix | Book Srini Chavali - Enterprise Database & Tools Leader at Cummins, Inc Blog | LinkedIn | Oracle Mix Dave Ferguson – President, Oracle Applications Users Group LinkedIn | OAUG Profile John King - Owner, King Training Resources Website | LinkedIn | Oracle Mix Gavyn Whyte - Project Portfolio Manager at iFactory Consulting Blog | Twitter | LinkedIn | Oracle Mix John Nicholson - Channels & Alliances at Greenlight Technologies Website | LinkedIn   del.icio.us Tags: oracle,otn,collborate 10,c10,oracle ace program,archbeat,arch2arch,oaug,odtug,las vegas Technorati Tags: oracle,otn,collborate 10,c10,oracle ace program,archbeat,arch2arch,oaug,odtug,las vegas

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  • Weekend Entity Framework Class in Dallas...

    - by [email protected]
    Zeeshan Nirani, MVP in the Data Programability Group, co-author of the upcoming Entity Framework Recipies book, is teaching a 6 week class on Entity Framework 4.0 at Collin Community College, beginning May 22nd. The class will meet each Saturday morning from 9 am to 1. There is probably nobody in the Metroplex area that knows the Entity Framework as initimately as Zeeshan. Go and sign-up for this course NOW and consider yourself lucky to have the opportunity to attend. You WILL learn the Entity Framework which will be CRITICAL to your success in Microsoft development, as MSFT has made this framework one of their core pieces moving forward.   Contact Zeeshan at [email protected] for more details.      

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