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  • Feature pack for SQL Server 2005 SP4 - collection of standalone packages

    - by ssqa.net
    With the release of SQL2005Sp4 an additional task is essential for DBAs & Developers to avoid any compatibility issues with existing code agains SP4 instance. Feature pack for SQL Server 2005 SP4 is available to download which contains the standalone packages such as SQLNative Client, ADOMD, OLAPDM etc.... as it states the feature pack are built on latest versions of add-on and backward compatibility contents for SQL Server 2005. The above link provides individual file to download for each environment...(read more)

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  • A list of game mechanics

    - by Iain
    I'm trying to compile a list of game mechanics, by which I mean high-level/meta game mechanics like Cooperation, Resource Management, Chance and Time Manipulation rather than low level mechanics like running, jumping climbing ladders, etc Does any one have any suggestions or can point me to good existing lists? My WIP list is already proving to be quite useful to me in the way I think about games.

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  • What does your Python development workbench look like?

    - by Fabian Fagerholm
    First, a scene-setter to this question: Several questions on this site have to do with selection and comparison of Python IDEs. (The top one currently is What IDE to use for Python). In the answers you can see that many Python programmers use simple text editors, many use sophisticated text editors, and many use a variety of what I would call "actual" integrated development environments – a single program in which all development is done: managing project files, interfacing with a version control system, writing code, refactoring code, making build configurations, writing and executing tests, "drawing" GUIs, and so on. Through its GUI, an IDE supports different kinds of workflows to accomplish different tasks during the journey of writing a program or making changes to an existing one. The exact features vary, but a good IDE has sensible workflows and automates things to let the programmer concentrate on the creative parts of writing software. The non-IDE way of writing large programs relies on a collection of tools that are typically single-purpose; they do "one thing well" as per the Unix philosophy. This "non-integrated development environment" can be thought of as a workbench, supported by the OS and generic interaction through a text or graphical shell. The programmer creates workflows in their mind (or in a wiki?), automates parts and builds a personal workbench, often gradually and as experience accumulates. The learning curve is often steeper than with an IDE, but those who have taken the time to do this can often claim deeper understanding of their tools. (Whether they are better programmers is not part of this question.) With advanced editor-platforms like Emacs, the pieces can be integrated into a whole, while with simpler editors like gedit or TextMate, the shell/terminal is typically the "command center" to drive the workbench. Sometimes people extend an existing IDE to suit their needs. What does your Python development workbench look like? What workflows have you developed and how do they work? For the first question, please give the main "driving" program – the one that you use to control the rest (Emacs, shell, etc.) the "small tools" -- the programs you reach for when doing different tasks For the second question, please describe what the goal of the workflow is (eg. "set up a new project" or "doing initial code design" or "adding a feature" or "executing tests") what steps are in the workflow and what commands you run for each step (eg. in the shell or in Emacs) Also, please describe the context of your work: do you write small one-off scripts, do you do web development (with what framework?), do you write data-munching applications (what kind of data and for what purpose), do you do scientific computing, desktop apps, or something else? Note: A good answer addresses the perspectives above – it doesn't just list a bunch of tools. It will typically be a long answer, not a short one, and will take some thinking to produce; maybe even observing yourself working.

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  • Introducing the New Face of Fusion Applications

    - by mvaughan
    By Misha Vaughan and Kathy Miedema, Oracle Applications User Experience At OpenWorld 2012, the Oracle Applications User Experience (UX) team unveiled the new face of Fusion Applications. You may have seen it in sessions presented by Chris Leone, Anthony Lye, Jeremy Ashley or others, or you may have gotten a look on the demogrounds. This screenshot shows the new Oracle Fusion Applications entry experience.Why are we delivering a new face for Fusion Applications? Because, says Ashley, the vice president of the Oracle Applications User Experience team, we want to provide a simple, modern, productive way for users to complete their top quick-entry tasks. The idea is to provide a clear, productive user experience that is backed by the full functionality of Fusion Applications. The first release of the new face of Fusion focuses on three types of users. It provides a fully functional gateway to Fusion Applications for: New and casual users who need quick access to self-service tasks Professional users who need fast access to quick-entry, high-volume tasks Users who are looking for a way to quickly brand their portal for employees The new face of Fusion allows users to move easily from navigation to action, Ashley said, and it has been designed for any device -- Mac, PC, iPad, Android, SmartBoard -- in the browser. The Oracle Fusion Applications Employee Directory. How did we build it? The new face of Fusion essentially is a custom shell, developed by the Apps UX team, and a set of page templates that embodies a simple design aesthetic. It’s repeatable, providing consistency across its pages, and requires little to zero training. More specifically, the new face of Fusion has been built on ADF. The Applications UX team created pages in JDeveloper using local tasks flows bound to existing view objects. Three new components were commissioned from ADF, and existing Fusion components were re-skinned to deliver a simple, modern user experience. It really is that simple – and to prove that point, we’ve been sharing our story around the new face of Fusion on several Oracle channels such as this one. Want to know more? Check the VoX blog for our favorite highlights from OpenWorld, which included demos of the new face of Fusion. And take a look at these posts from Ace Directors Debra Lilley, and Floyd Teter. Special mention to Floyd for the first screen shot credit. Also a nod to Wilfred vander Deijl for capturing the demo to share as part 1 and part 2. We will also be hitting upcoming user group conferences with our demos, and you can always reach out to one of our Fusion User Experience Advocates for a look.

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  • Tellago Devlabs: A RESTful API for BizTalk Server Business Rules

    - by gsusx
    Tellago DevLabs keeps growing as the primary example of our commitment to open source! Today, we are very happy to announce the availability of the BizTalk Business Rules Data Service API which extends our existing BizTalk Data Services solution with an OData API for the BizTalk Server Business Rules engine. Tellago’s Vishal Mody led the implementation of this version of the API with some input from other members of our technical staff. The motivation The fundamental motivation behind the BRE Data...(read more)

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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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  • dependency analysis from C# code thru to database tables/columns

    - by fpdave
    I'm looking for a tool to do system wide dependency analysis in C# code and SQL-Server databases. Its looking like the only tool available that does this might be CAST (cast software), which is expensive and it does lots more besides that I dont really need. c# code thru to database column dependency would be hugely useful for many reasons, including: - determining effects of database changes throughout the system - seeing hot spots in the database schema - finding dead stored procedures/tables/etc - understanding the existing code base does anyone know of any such tools?

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  • Webcast: The ART of Migrating and Modernizing IBM Mainframe Applications

    - by todd.little
    Tuxedo provides an excellent platform to migrate mainframe applications to distributed systems. As the only distributed transaction processing monitor that offers quality of service comparable or better than mainframe systems, Tuxedo allows customers to migrate their existing mainframe based applications to a platform with a much lower total cost of ownership. Please join us on Thursday April 29 at 10:00am Pacific Time for this exciting webcast covering the new Oracle Tuxedo Application Runtime for CICS and Batch 11g. Find out how easy it is to migrate your CICS and mainframe batch applications to Tuxedo.

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  • Create Your CRM Style

    - by Ruth
    Company branding can create a sense of spirit, belonging, familiarity, and fun. CRM On Demand has long offered company branding options, but now, with Release 17, those options have become quicker, easier, and more flexible. Themes (also known as Skins) allow you to customize the appearance of the CRM On Demand application for your entire company, or for individual roles. Users may also select the theme that works best for them. You can create a new theme in 5 minutes or less, but if you're anything like me, you may enjoy tinkering with it for a while longer. Before you begin tinkering, I recommend spending a few moments coming up with a design plan. If you have specific colors or logos you want for your theme, gather those first...that will move the process along much faster. If you want to match the color of an existing Web site or application, you can use tools, like Pixie, to match the HEX/HTML color values. Logos must be in a JPEG, JPG, PNG, or GIF file format. Header logos must be approximately 70 pixels high by 1680 pixels wide. Footer logos must be no more than 200 pixels wide. And, of course, you must have permission to use the images that you upload for your theme. Creating the theme itself is the simple part. Here are a few simple steps. Note: You must have the Manage Themes privilege to create custom themes. Click the Admin global link. Navigate to Application Customization Themes. Click New. Note: You may also choose to copy and edit and existing theme. Enter information for the following fields: Theme Name - Enter a name for your new theme. Show Default Help Link - Online help holds valuable information for all users, so I recommend selecting this check box. Show Default Training and Support Link - The Training and Support Center holds valuable information for all users, so I recommend selecting this check box. Description - Enter a description for your new theme. Click Save. Once you click Save, the Theme Detail page opens. From there, you can design your theme. The preview shows the Home, Detail, and List pages, with the new theme applied. For more detailed information about themes, click the Help link from any page in CRM On Demand Release 17, then search or browse to find the Creating New Themes page (Administering CRM On Demand Application Customization Creating New Themes). Click the Show Me link on that Help page to access the Creating Custom Themes quick guide. This quick guide shows how each of the page elements are defined.

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  • Auto Mocking using JustMock

    - by mehfuzh
    Auto mocking containers are designed to reduce the friction of keeping unit test beds in sync with the code being tested as systems are updated and evolve over time. This is one sentence how you define auto mocking. Of course this is a more or less formal. In a more informal way auto mocking containers are nothing but a tool to keep your tests synced so that you don’t have to go back and change tests every time you add a new dependency to your SUT or System Under Test. In Q3 2012 JustMock is shipped with built in auto mocking container. This will help developers to have all the existing fun they are having with JustMock plus they can now mock object with dependencies in a more elegant way and without needing to do the homework of managing the graph. If you are not familiar with auto mocking then I won't go ahead and educate you rather ask you to do so from contents that is already made available out there from community as this is way beyond the scope of this post. Moving forward, getting started with Justmock auto mocking is pretty simple. First, I have to reference Telerik.JustMock.Container.DLL from the installation folder along with Telerik.JustMock.DLL (of course) that it uses internally and next I will write my tests with mocking container. It's that simple! In this post first I will mock the target with dependencies using current method and going forward do the same with auto mocking container. In short the sample is all about a report builder that will go through all the existing reports, send email and log any exception in that process. This is somewhat my  report builder class looks like: Reporter class depends on the following interfaces: IReporBuilder: used to  create and get the available reports IReportSender: used to send the reports ILogger: used to log any exception. Now, if I just write the test without using an auto mocking container it might end up something like this: Now, it looks fine. However, the only issue is that I am creating the mock of each dependency that is sort of a grunt work and if you have ever changing list of dependencies then it becomes really hard to keep the tests in sync. The typical example is your ASP.NET MVC controller where the number of service dependencies grows along with the project. The same test if written with auto mocking container would look like: Here few things to observe: I didn't created mock for each dependencies There is no extra step creating the Reporter class and sending in the dependencies Since ILogger is not required for the purpose of this test therefore I can be completely ignorant of it. How cool is that ? Auto mocking in JustMock is just released and we also want to extend it even further using profiler that will let me resolve not just interfaces but concrete classes as well. But that of course starts the debate of code smell vs. working with legacy code. Feel free to send in your expert opinion in that regard using one of telerik’s official channels. Hope that helps

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  • Architecture strategies for a complex competition scoring system

    - by mikewassmer
    Competition description: There are about 10 teams competing against each other over a 6-week period. Each team's total score (out of a 1000 total available points) is based on the total of its scores in about 25,000 different scoring elements. Most scoring elements are worth a small fraction of a point and there will about 10 X 25,000 = 250,000 total raw input data points. The points for some scoring elements are awarded at frequent regular time intervals during the competition. The points for other scoring elements are awarded at either irregular time intervals or at just one moment in time. There are about 20 different types of scoring elements. Each of the 20 types of scoring elements has a different set of inputs, a different algorithm for calculating the earned score from the raw inputs, and a different number of total available points. The simplest algorithms require one input and one simple calculation. The most complex algorithms consist of hundreds or thousands of raw inputs and a more complicated calculation. Some types of raw inputs are automatically generated. Other types of raw inputs are manually entered. All raw inputs are subject to possible manual retroactive adjustments by competition officials. Primary requirements: The scoring system UI for competitors and other competition followers will show current and historical total team scores, team standings, team scores by scoring element, raw input data (at several levels of aggregation, e.g. daily, weekly, etc.), and other metrics. There will be charts, tables, and other widgets for displaying historical raw data inputs and scores. There will be a quasi-real-time dashboard that will show current scores and raw data inputs. Aggregate scores should be updated/refreshed whenever new raw data inputs arrive or existing raw data inputs are adjusted. There will be a "scorekeeper UI" for manually entering new inputs, manually adjusting existing inputs, and manually adjusting calculated scores. Decisions: Should the scoring calculations be performed on the database layer (T-SQL/SQL Server, in my case) or on the application layer (C#/ASP.NET MVC, in my case)? What are some recommended approaches for calculating updated total team scores whenever new raw inputs arrives? Calculating each of the teams' total scores from scratch every time a new input arrives will probably slow the system to a crawl. I've considered some kind of "diff" approach, but that approach may pose problems for ad-hoc queries and some aggegates. I'm trying draw some sports analogies, but it's tough because most games consist of no more than 20 or 30 scoring elements per game (I'm thinking of a high-scoring baseball game; football and soccer have fewer scoring events per game). Perhaps a financial balance sheet analogy makes more sense because financial "bottom line" calcs may be calculated from 250,000 or more transactions. Should I be making heavy use of caching for this application? Are there any obvious approaches or similar case studies that I may be overlooking?

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  • Scrubbing a DotNetNuke Database for user info and passwords

    - by Chris Hammond
    If you’ve ever needed to send a backup of your DotNetNuke database to a developer for testing, you likely trust the developer enough to do so without scrubbing your data, but just to be safe it is probably best that you do take the time to scrub. Before you do anything with the SQL below, make sure you have a backup of your website! I would recommend you do the following. Backup your existing production database Restore a backup of your production database as a NEW database Run the scripts below...(read more)

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  • ArchBeat Link-o-Rama for August 1, 2013

    - by OTN ArchBeat
    Performance Tuning – Systems Running BPEL Processes | Ravi Saraswathi and Jaswant Sing Ravi Saraswathi and Jaswant Singh, the authors of "Oracle SOA BPEL Process Manager 11gR1 - A Hands-on Tutorial" explain performance tuning of SOA composite applications for optimal performance and scalability. Steps to configure SAML 2.0 with Weblogic Server | Puneeth The blogger known only as Punteeth shares an illustrated technical post that will be of interest to those working with Oracle WebLogic and the Security Assertion Markup Language (SAML). Video: Planning and Getting Started - Developer PCs | Chris Muir Tune in to the latest episode of ADF Architecture TV to see Chris Muir explain why you don't have to buy the most expensive PCs in order to run JDeveloper. Key User Experience Design Principles for working with Big Data | John Fuller User Experience Designer John Fuller shares 6 core design principles for working with big data that focus on "helping people bring together a variety of data types in a fast and flexible way." Event: OTN Developer Day: ADF Mobile - Burlington, MA - Aug 28 Through six sessions, including a hands-on workshop, you'll learn a simpler way to leverage your existing skills to develop enterprise mobile applications using Oracle ADF Mobile. Registration is free, but seating is limited. Optimizing WebCenter Portal Mobile Delivery | Jeevan Joseph FMW solution architect Jeevan Joseph "walks you through identifying and analyzing some common WebCenter Portal performance bottlenecks related to page weight and describes a generic approach that can streamline your portal while improving the performance and response times." Customizing specific instances of a WebCenter task flow | Jeevan Joseph Fusion Middleware A-Team solution architect Jeevan Joseph strikes again with this article that explains "how to set up parameters on MDS customization so that it is applied only under certain conditions...making it possible to customize individual instances of task flows." Exalogic Virtual Tea Break Snippets – Modifying Memory, CPU and Storage on a vServer | Andrew Hopkinson FMW solution architect Andrew Hopkinson walks you through "the simple process of resizing the resources associated with an already existing Exalogic vServer." Oracle ADF Mobile Virtual Developer Day - Next Week | Shay Shmeltzer JDeveloper product team lead Shay Schmeltzer shares agenda information for the OTN Virtual Developer Day event covering Mobile Application Development for iOS and Android, coming up one week from today, on August 7, 2013, 9am PT/Noon ET/1pm BRT. What's New In Oracle Enterprise Pack for Eclipse 12.1.2.1.0? New features and updates on the newly-released Oracle Enterprise Pack for Eclipse 12.1.2.1.0, now available for download from OTN. IOUG Cloud Builders Unite | Jeff Erickson Check out this great Oracle Magazine article by Jeff Erickson about IOUG members organizing around their common interest in building private clouds. Thought for the Day "Stuff that's hidden and murky and ambiguous is scary because you don't know what it does." — Jerry Garcia (August 1, 1942 – August 9, 1995) Source: brainyquote.com

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  • Transitioning to SaaS

    - by shivanshu.upadhyay
    A number of our existing ISV partners are thinking about SaaS. We recorded a ~25 session on technology readiness for SaaS. Let us know your thoughts. http://oukc.oracle.com/static09/opn/login/?t=checkusercookies|r=-1|c=824461208

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  • Announcing MySQL Enterprise Backup 3.7.1

    - by Hema Sridharan
    The MySQL Enterprise Backup (MEB) Team is pleased to announce the release of MEB 3.7.1, a maintenance release version that includes bug fixes and enhancements to some of the existing features. The most important feature introduced in this release is Automatic Incremental Backup. The new  argument syntax for the --incremental-base option is introduced which makes it simpler to perform automatic incremental backups. When the options --incremental & --incremental-base=history:last_backup are combined, the mysqlbackup command  uses the metadata in the mysql.backup_history table to determine the LSN to use as the lower limit of the incremental backup. You no longer need to keep track of the actual LSN (as in the option --start-lsn=LSN) or even the location of the previous backup (as in the option --incremental-base=dir:directory_path)This release also incudes various bug fixes related to some options used in MEB. The most important are few of them as listed below,1. The option --force now allows overwriting InnoDB data and log files in  combination with the apply-log and apply-incremental-backup options, and replacing the image file in combination with the backup-to-image and backup-dir-to-image options. 2. Resolved a bug that prevented MEB to interface with third-party storage managers to execute backup and restore jobs in combination with the SBT interface and associated --sbt* options for mysqlbackup. 3. When MEB is run with the copy-back option,  it now displays warnings as existing files are overwritten.For more information about other bug fixes, please refer to the change-log in http://dev.mysql.com/doc/mysql-enterprise-backup/3.7/en/meb-news.html The complete MEB documentation is located at http://dev.mysql.com/doc/mysql-enterprise-backup/3.7/en/index.html. You will find the binaries for the new release in My Oracle Support,  https://support.oracle.comChoose the "Patches & Updates" tab, and then use the "Product or Family (Advanced Search)" feature. If you haven't looked at MEB 3.7.1 recently, please do so now and let us know how MEB works for you. Send your feedback to [email protected].

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  • ASP.NET MVC 2: Strongly Typed Html Helpers

    In this article, Scott examines the usage of Strongly Typed Html Helpers included with ASP.NET MVC 2. He begins with a short description of the existing HTML Helper method in ASP.NET MVC 1 and discusses the new methods, providing screenshots and a detailed listing of these new methods.

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  • Rebuilt website from static html to CMS need to redirect indexed links

    - by Michael Dunn
    I have rebuilt a website which was all created with static html pages, it has now been rebuilt using a CMS system. I need to find a way of redirecting all the existing links to there new corresponding pages which utilise friendly URL rewrites on the CMS based website I imagine there will be several hundred if not 1000s as i have pages and images linked from google. What is the most efficient way to complete this Thanks in advance Mike

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  • The Politics of Junk Filtering

    - by mikef
    If the national postal service, such as the Royal Mail in the UK, were to go through your letters and throw away all the stuff it considered to be junk instead of delivering it to you, you might be rather pleased until you discovered that it took a too liberal decision about what was junk. Catalogs you'd asked for? Junk! Requests from charities? Who needs them! Parcels from competing carriers? Toss them away! The possibility for abuse for an agency that was in a monopolistic position is just too scary to tolerate. After all, the postal service could charge 'consultancy fees' to any sender who wanted to guarantee that his stuff got delivered, or they could even farm this out to other companies. Because Microsoft Outlook is just about the only email client used by the international business community in the west, its' SPAM filter is the final arbiter as to what gets read. My Outlook 2007, set to the default settings, junks all the perfectly innocent email newsletters that I subscribe to. Whereas Google Mail, Yahoo, and LIVE are all pretty accurate in detecting spam, Outlook makes all sorts of silly mistakes. The documentation speaks techno-babble about 'advanced heuristics', but the result boils down to an inaccurate mess. The more that Microsoft fiddles with it, the stickier the mess. To make matters worse, it still lets through obvious spam. The filter is occasionally updated along with other automatic 'security' updates you opt for automatic updates. As an editor for a popular online publication that provides a newsletter service, this is an obvious source of frustration. We follow all the best-practices we know about. We ensure that it is a trivial task to opt out of receiving it. We format the newsletter to the requirements of the Service Providers. We follow up, and resolve, every complaint. As a result, it gets delivered. It is galling to discover that, after all that effort, Outlook then often judges the contents to be junk on a whim, so you don't get to see it. A few days ago, Microsoft published the PST file format specification, under pressure from a European Union interoperability investigation by ECIS (the European Committee for Interoperable Systems). The objective was that other applications could then access existing PST files so as to migrate from existing Outlook installations to other solutions. Joaquín Almunia, the current competition commissioner, should now turn his attention to the more subtle problems of Microsoft Outlook. The Junk problem seems to have come from clumsy implementation of client-side spam filtering rather than from deliberate exploitation of a monopoly on the desktop email client for businesses, but it is a growing problem nonetheless. Cheers, Michael Francis

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  • Advice for moving from custom domain hosted on blogspot to new custom domain on hosting provider [closed]

    - by Chan
    Need some advice :) a) Facts: 1. Currently, we have a blog www.thebigbigsky.net hosted on blogspot.com. The site has been up for around a year and google had cached some of the posts. 2. The idea for setting up the blog was to promote/share articles/write-up about personal development and self-growth, and also to offer counseling services related to them. 3. There is another subdomain - chinese.thebigbigsky.net hosting similar blog posts but in Chinese. This is hosted on blogspot as well. b) What we want to do: 1. We did some research on the internet and understood that, to make a website more popular, it is better to have a domain name that is related to the content of the site. Hence, in our case, a domain name containing "personal development" would be more ideal and easier for people to remember. 2. Hence, we are thinking to move away from blogspot to a meaningful new domain (example: personaldevelopmentwithxyz.com) and move all contents there. The new domain will be hosted on a hosting provider e.g. hostgator.com c) Here are the steps we have in mind: 1. Register the new domain (example: personaldevelopmentwithxyz.com) 2. Get a hosting provider hostgator.com 3. Setup a new site based on Wordpress, import all contents from existing blog to this new site - personaldevelopmentwithxyz.com. 4. Switch current blog back to thebigbigsky.blogspot.com 5. Switch DNS of www.thebigbigsky.net to point to the new site on hostgator.com 6. On hostgator.com, setup permanent redirect 301 of www.thebigbigsky.net to point to personaldevelopmetnwithxyz.com by following the tutorial mentioned here - http://www.blogbloke.com/migrating-redirecting-blogger-wordpress-htaccess-apache-best-method/ Questions: 1. Will it have major impact on the current google pagerank or SEO of thebigbigsky.net? As the site is not that popular, we assumed that the impact would not be a major one. 2. Is the domain personaldevelopmentwithxyz.com considered too long? (For SEO etc) 3. Steps c.4 and c.5 above - Will this work for our case? 4. How about the subdomain - chinese.thebigbigsky.net? We would like keep it as separate blog with the domain e.g. chinese.personaldevelopmentwithxyz.com 5. We added "facebook comments" to the existing post on www.thebigtbigsky.net and would not want to lose it. Will the comments still be there after we moved to the new domain? 6. Any better idea to do it? :) Thank you very much! regards, -chan

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  • The results are in: I'm an okay speaker.

    - by AaronBertrand
    Last weekend I spoke at SQL Saturday #60 in Cleveland, Ohio. I had a great time catching up with some existing friends and colleagues, and met a bunch of new people too. I presented two sessions: What's New in Denali, and T-SQL: Bad Habits to Kick. Yesterday the organizers passed along the scanned-in speaker evaluations (this was the first SQL Saturday event where I found folks to be quite motivated to fill out the forms, since it was how they drew the door prizes). And being the ADD person I am,...(read more)

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  • Space partitioning when everything is moving

    - by Roy T.
    Background Together with a friend I'm working on a 2D game that is set in space. To make it as immersive and interactive as possible we want there to be thousands of objects freely floating around, some clustered together, others adrift in empty space. Challenge To unburden the rendering and physics engine we need to implement some sort of spatial partitioning. There are two challenges we have to overcome. The first challenge is that everything is moving so reconstructing/updating the data structure has to be extremely cheap since it will have to be done every frame. The second challenge is the distribution of objects, as said before there might be clusters of objects together and vast bits of empty space and to make it even worse there is no boundary to space. Existing technologies I've looked at existing techniques like BSP-Trees, QuadTrees, kd-Trees and even R-Trees but as far as I can tell these data structures aren't a perfect fit since updating a lot of objects that have moved to other cells is relatively expensive. What I've tried I made the decision that I need a data structure that is more geared toward rapid insertion/update than on giving back the least amount of possible hits given a query. For that purpose I made the cells implicit so each object, given it's position, can calculate in which cell(s) it should be. Then I use a HashMap that maps cell-coordinates to an ArrayList (the contents of the cell). This works fairly well since there is no memory lost on 'empty' cells and its easy to calculate which cells to inspect. However creating all those ArrayLists (worst case N) is expensive and so is growing the HashMap a lot of times (although that is slightly mitigated by giving it a large initial capacity). Problem OK so this works but still isn't very fast. Now I can try to micro-optimize the JAVA code. However I'm not expecting too much of that since the profiler tells me that most time is spent in creating all those objects that I use to store the cells. I'm hoping that there are some other tricks/algorithms out there that make this a lot faster so here is what my ideal data structure looks like: The number one priority is fast updating/reconstructing of the entire data structure Its less important to finely divide the objects into equally sized bins, we can draw a few extra objects and do a few extra collision checks if that means that updating is a little bit faster Memory is not really important (PC game)

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