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  • The Shift: how Orchard painlessly shifted to document storage, and how it’ll affect you

    - by Bertrand Le Roy
    We’ve known it all along. The storage for Orchard content items would be much more efficient using a document database than a relational one. Orchard content items are composed of parts that serialize naturally into infoset kinds of documents. Storing them as relational data like we’ve done so far was unnatural and requires the data for a single item to span multiple tables, related through 1-1 relationships. This means lots of joins in queries, and a great potential for Select N+1 problems. Document databases, unfortunately, are still a tough sell in many places that prefer the more familiar relational model. Being able to x-copy Orchard to hosters has also been a basic constraint in the design of Orchard. Combine those with the necessity at the time to run in medium trust, and with license compatibility issues, and you’ll find yourself with very few reasonable choices. So we went, a little reluctantly, for relational SQL stores, with the dream of one day transitioning to document storage. We have played for a while with the idea of building our own document storage on top of SQL databases, and Sébastien implemented something more than decent along those lines, but we had a better way all along that we didn’t notice until recently… In Orchard, there are fields, which are named properties that you can add dynamically to a content part. Because they are so dynamic, we have been storing them as XML into a column on the main content item table. This infoset storage and its associated API are fairly generic, but were only used for fields. The breakthrough was when Sébastien realized how this existing storage could give us the advantages of document storage with minimal changes, while continuing to use relational databases as the substrate. public bool CommercialPrices { get { return this.Retrieve(p => p.CommercialPrices); } set { this.Store(p => p.CommercialPrices, value); } } This code is very compact and efficient because the API can infer from the expression what the type and name of the property are. It is then able to do the proper conversions for you. For this code to work in a content part, there is no need for a record at all. This is particularly nice for site settings: one query on one table and you get everything you need. This shows how the existing infoset solves the data storage problem, but you still need to query. Well, for those properties that need to be filtered and sorted on, you can still use the current record-based relational system. This of course continues to work. We do however provide APIs that make it trivial to store into both record properties and the infoset storage in one operation: public double Price { get { return Retrieve(r => r.Price); } set { Store(r => r.Price, value); } } This code looks strikingly similar to the non-record case above. The difference is that it will manage both the infoset and the record-based storages. The call to the Store method will send the data in both places, keeping them in sync. The call to the Retrieve method does something even cooler: if the property you’re looking for exists in the infoset, it will return it, but if it doesn’t, it will automatically look into the record for it. And if that wasn’t cool enough, it will take that value from the record and store it into the infoset for the next time it’s required. This means that your data will start automagically migrating to infoset storage just by virtue of using the code above instead of the usual: public double Price { get { return Record.Price; } set { Record.Price = value; } } As your users browse the site, it will get faster and faster as Select N+1 issues will optimize themselves away. If you preferred, you could still have explicit migration code, but it really shouldn’t be necessary most of the time. If you do already have code using QueryHints to mitigate Select N+1 issues, you might want to reconsider those, as with the new system, you’ll want to avoid joins that you don’t need for filtering or sorting, further optimizing your queries. There are some rare cases where the storage of the property must be handled differently. Check out this string[] property on SearchSettingsPart for example: public string[] SearchedFields { get { return (Retrieve<string>("SearchedFields") ?? "") .Split(new[] {',', ' '}, StringSplitOptions.RemoveEmptyEntries); } set { Store("SearchedFields", String.Join(", ", value)); } } The array of strings is transformed by the property accessors into and from a comma-separated list stored in a string. The Retrieve and Store overloads used in this case are lower-level versions that explicitly specify the type and name of the attribute to retrieve or store. You may be wondering what this means for code or operations that look directly at the database tables instead of going through the new infoset APIs. Even if there is a record, the infoset version of the property will win if it exists, so it is necessary to keep the infoset up-to-date. It’s not very complicated, but definitely something to keep in mind. Here is what a product record looks like in Nwazet.Commerce for example: And here is the same data in the infoset: The infoset is stored in Orchard_Framework_ContentItemRecord or Orchard_Framework_ContentItemVersionRecord, depending on whether the content type is versionable or not. A good way to find what you’re looking for is to inspect the record table first, as it’s usually easier to read, and then get the item record of the same id. Here is the detailed XML document for this product: <Data> <ProductPart Inventory="40" Price="18" Sku="pi-camera-box" OutOfStockMessage="" AllowBackOrder="false" Weight="0.2" Size="" ShippingCost="null" IsDigital="false" /> <ProductAttributesPart Attributes="" /> <AutoroutePart DisplayAlias="camera-box" /> <TitlePart Title="Nwazet Pi Camera Box" /> <BodyPart Text="[...]" /> <CommonPart CreatedUtc="2013-09-10T00:39:00Z" PublishedUtc="2013-09-14T01:07:47Z" /> </Data> The data is neatly organized under each part. It is easy to see how that document is all you need to know about that content item, all in one table. If you want to modify that data directly in the database, you should be careful to do it in both the record table and the infoset in the content item record. In this configuration, the record is now nothing more than an index, and will only be used for sorting and filtering. Of course, it’s perfectly fine to mix record-backed properties and record-less properties on the same part. It really depends what you think must be sorted and filtered on. In turn, this potentially simplifies migrations considerably. So here it is, the great shift of Orchard to document storage, something that Orchard has been designed for all along, and that we were able to implement with a satisfying and surprising economy of resources. Expect this code to make its way into the 1.8 version of Orchard when that’s available.

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  • How In-Memory Database Objects Affect Database Design: The Conceptual Model

    - by drsql
    After a rather long break in the action to get through some heavy tech editing work (paid work before blogging, I always say!) it is time to start working on this presentation about In-Memory Databases. I have been trying to decide on the scope of the demo code in the back of my head, and I have added more and taken away bits and pieces over time trying to find the balance of "enough" complexity to show data integrity issues and joins, but not so much that we get lost in the process of trying to...(read more)

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  • Understanding the JSF Lifecycle and ADF Optimized Lifecycle

    - by Steven Davelaar
    While coaching ADF development teams over the years, I have noticed that many developers lack a basic understanding of Java Server Faces, in particular the JSF lifecycle and how ADF optimizes this lifecycle in specific situations. As a result, ADF developers who are tasked to build a seemingly simple ADF page, can get extremely frustrated by the -in their eyes- unexpected or unlogical behavior of ADF.  They start to play with the immediate property and the partialTriggers property in a trial-and-error manner. Often, they play with these properties until their specific issue is solved, unaware of other more severe bugs that might be introduced by the values they choose for these properties. So, I decided to submit a presentation for the UKOUG entitled "What you need to know about JSF to be succesful with ADF".  The abstract was accepted, and I started putting together the presentation and demo application. I built up a demo application step-by-step, trying to cover the JSF-related  top issues and challenges I encountered over the years in a simple "Hello World" demo. This turned out to be both a very time-consuming and very interesting journey. I had never thought I would learn so much myself in preparing this presentation. I never thought I would end up with potentially controversial conclusions like "Never set immediate=true on an editable component".  I did not realize the sometimes immense implications of the ADF optimized lifecycle beforehand. I never thought that "Hello World" demo's could get so complex. But as I went on I was confident this was valuable material, even for experienced ADF developers with a good understanding of JSF. When I finished, I realized the original title and abstract was misleading, as was the target audience. Yes, it was covering the JSF lifecycle, but no other aspects of JSF you need to know for ADF development. Yes, it was covering some JSF basics as mentioned in the abstract, but all in all it had become a pretty advanced presentation. At the same time, the issues discussed are very common, novice ADF developers might easily run into them while building their first pages. I ran out of time, so I decided to just present what I had, apologizing at the beginning for the misleading title, showing a second slide with a better title "18 invaluable lessons about ADF-JSF interaction". I think the presentation was well received overall, although people who don't like it or don't understand it, usually don't come and tell you afterwards.... I am still struggling with the title, for this blog post I used yet another title, anyway, you can download the presentation-that-still-lacks-a-good-title here. The finished JDev 11.1.1.6 demo app can be downloaded here.  The 18 lessons mentioned in the presentation are summarized here. As mentioned on the last slide, print out the lessons, and learn them by heart, I am pretty sure it will save you lots of time and frustration!

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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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  • WebCenter Spaces 11g PS2 Template Customization

    - by javier.ductor(at)oracle.com
    Recently, we have been involved in a WebCenter Spaces customization project. Customer sent us a prototype website in HTML, and we had to transform Spaces to set the same look&feel as in the prototype.Protoype:First of all, we downloaded a Virtual Machine with WebCenter Spaces 11g PS2, same version as customer's. The next step was to download ExtendWebCenterSpaces application. This is a webcenter application that customizes several elements of WebCenter Spaces: templates, skins, landing page, etc. jDeveloper configuration is needed, we followed steps described in Extended Guide, this blog was helpful too. . After that, we deployed the application using WebLogic console, we created a new group space and assigned the ExtendedWebCenterSpaces template (portalCentricSiteTemplate) to it. The result was this:As you may see there is a big difference with the prototype, which meant a lot of work to do from our side.So we needed to create a new Spaces template with its skin.Using jDeveloper, we created a new template based on the default template. We removed all menus we did not need and inserted 'include'  tags for header, breadcrumb and footers. Each of these elements was defined in an isolated jspx file.In the beginning, we faced a problem: we had to add code from prototype (in plain HTML) to jspx templates (JSF language). We managed to workaround this issue using 'verbatim' tags with 'CDATA' surrounding HTML code in header, breadcrumb and footers.Once the template was modified, we added css styles to the default skin. So we had some styles from portalCentricSiteTemplate plus styles from customer's prototype.Then, we re-deployed the application, assigned this template to a new group space and checked the result. After testing, we usually found issues, so we had to do some modifications in the application, then it was necessary to re-deploy the application and restart Spaces server. Due to this fact, the testing process takes quite a bit of time.Added to the template and skin customization, we also customized the Landing Page using this application and Members task flow using another application: SpacesTaskflowCustomizationApplication. I will talk about this task flow customization in a future entry.After some issues and workarounds, eventually we managed to get this look&feel in Spaces:P.S. In this customization I was working with Francisco Vega and Jose Antonio Labrada, consultants from Oracle Malaga International Consulting Centre.

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  • Why some links appear in a new tab, others in a new window?

    - by SAMIR BHOGAYTA
    Originally, it was made to resolve problems on IE8 32 bits when you use a 32 bits OS. I changed "%ProgramFiles(x86)%" var, and now my issue is resolved for IE8 32 bits on my Windows 7 64 bits. Please try it, and tell me if everything work for you. For Win 7 64 bits : 1 - Create a new notepad document and paste this text : @echo off echo. echo IEREREG Version 1.07 for IE8 27.03.2009 echo by Kai Schaetzl http://iefaq.info echo installs and registers (if suitable) all DLLs known to be used by IE8. echo should only take a few seconds, but please be patient echo. REM ****************************** echo registering IE files REM IE files (= part of setup) regsvr32 /s /i browseui.dll REM regsvr32 /s /i browseui.dll,NI (unnecessary) regsvr32 /s corpol.dll regsvr32 /s dxtmsft.dll regsvr32 /s dxtrans.dll REM simple HTML Mail API regsvr32 /s "%ProgramFiles(x86)%\internet explorer\hmmapi.dll" REM group policy snap-in regsvr32 /s ieaksie.dll REM smart screen regsvr32 /s ieapfltr.dll REM ieak branding regsvr32 /s iedkcs32.dll REM dev tools regsvr32 /s "%ProgramFiles(x86)%\internet explorer\iedvtool.dll" regsvr32 /s iepeers.dll REM Symptom: IE8 closes immediately on launch, missing from IE7 regsvr32 /s "%ProgramFiles(x86)%\internet explorer\ieproxy.dll" REM no install point anymore REM regsvr32 /s /i iesetup.dll REM no reg point anymore REM regsvr32 /s imgutil.dll regsvr32 /s /i /n inetcpl.cpl REM no install point anymore REM regsvr32 /s /i inseng.dll regsvr32 /s jscript.dll REM license manager regsvr32 /s licmgr10.dll REM regsvr32 /s msapsspc.dll REM regsvr32 /s mshta.exe REM VS debugger regsvr32 /s msdbg2.dll REM no install point anymore REM regsvr32 /s /i mshtml.dll regsvr32 /s mshtmled.dll regsvr32 /s msident.dll REM no reg point anymore REM regsvr32 /s msrating.dll REM multimedia timer regsvr32 /s mstime.dll REM no install point anymore REM regsvr32 /s /i occache.dll REM process debug manager regsvr32 /s "%ProgramFiles(x86)%\internet explorer\pdm.dll" REM no reg point anymore REM regsvr32 /s pngfilt.dll REM regsvr32 /s /i setupwbv.dll (not there anymore!) regsvr32 /s tdc.ocx regsvr32 /s /i urlmon.dll REM regsvr32 /s /i urlmon.dll,NI,HKLM regsvr32 /s vbscript.dll REM VML renderer regsvr32 /s "%CommonProgramFiles%\microsoft shared\vgx\vgx.dll" REM no install point anymore REM regsvr32 /s /i webcheck.dll regsvr32 /s /i /n wininet.dll REM ****************************** echo registering system files REM additional system dlls known to be used by IE REM added 11.05.2006 Symptom: Add-Ons-Manager menu entry is present but nothing happens regsvr32 /s extmgr.dll REM added 12.05.2006 Symptom: Javascript links don't work (Robin Walker) .NET hub file regsvr32 /s mscoree.dll REM added 23.03.2009 Symptom: Find on this page is blank regsvr32 /s oleacc.dll REM added 24.03.2009 Symptom: Printing problems, open in new window regsvr32 /s ole32.dll REM mscorier.dll REM mscories.dll REM Symptom: open in new tab/window not working regsvr32 /s actxprxy.dll regsvr32 /s asctrls.ocx regsvr32 /s cdfview.dll regsvr32 /s comcat.dll regsvr32 /s /i /n comctl32.dll regsvr32 /s cryptdlg.dll regsvr32 /s /i /n digest.dll regsvr32 /s dispex.dll regsvr32 /s hlink.dll regsvr32 /s mlang.dll regsvr32 /s mobsync.dll regsvr32 /s /i msieftp.dll REM regsvr32 /s msnsspc.dll #no entry point regsvr32 /s msr2c.dll regsvr32 /s msxml.dll regsvr32 /s oleaut32.dll REM regsvr32 /s plugin.ocx #no entry point regsvr32 /s proctexe.ocx REM plus DllRegisterServerEx ExA ExW ... ? regsvr32 /s /i scrobj.dll REM shdocvw.dll hasn't been updated for IE7 and IE8, it still registers itself for the Windows Internet Controls regsvr32 /s /i shdocvw.dll regsvr32 /s sendmail.dll REM ****************************** REM PKI/crypto functionality REM initpki can take very long to run and is rarely a problem REM if there are problems with crypto, SSL, certificates REM remove the three following REMs from the lines REM echo We are almost done except one crypto file REM echo but this will take very long, be patient! REM regsvr32 /s /i:A initpki.dll REM ****************************** REM tabbed browser, do at the end, why originally with /n ? regsvr32 /s /i ieframe.dll REM ****************************** echo correcting bugs in the registry REM do some corrective work REM Symptom: new tabs page cannot display content because it cannot access the controls (added 27. 3.2009) REM This is a result of a bug in shdocvw.dll (see above), probably only on Windows XP reg add "HKCR\TypeLib\{EAB22AC0-30C1-11CF-A7EB-0000C05BAE0B}\1.1\0\win32" /ve /t REG_SZ /d %systemroot%\system32\ieframe.dll /f REM ****************************** echo all tasks have been finished echo. pause 2 - Close all your IE windows and processes. 3 - Save your document on your Desktop by example, with the .bat extension. Right-click on it, and select "Run as administrator". 4 - Test if this tip resolved your issue by openning IE. If you use a Windows 32 bits version, please replace %ProgramFiles(x86)% by %ProgramFiles% in your .bat file.

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  • Brendan Gregg's "Systems Performance: Enterprise and the Cloud"

    - by user12608550
    Long ago, the prerequisite UNIX performance book was Adrian Cockcroft's 1994 classic, Sun Performance and Tuning: Sparc & Solaris, later updated in 1998 as Java and the Internet. As Solaris evolved to include the invaluable DTrace observability features, new essential performance references have been published, such as Solaris Performance and Tools: DTrace and MDB Techniques for Solaris 10 and OpenSolaris (2006)  by McDougal, Mauro, and Gregg, and DTrace: Dynamic Tracing in Oracle Solaris, Mac OS X and FreeBSD (2011), also by Mauro and Gregg. Much has occurred in Solaris Land since those books appeared, notably Oracle's acquisition of Sun Microsystems in 2010 and the demise of the OpenSolaris community. But operating system technologies have continued to improve markedly in recent years, driven by stunning advances in multicore processor architecture, virtualization, and the massive scalability requirements of cloud computing. A new performance reference was needed, and I eagerly waited for something that thoroughly covered modern, distributed computing performance issues from the ground up. Well, there's a new classic now, authored yet again by Brendan Gregg, former Solaris kernel engineer at Sun and now Lead Performance Engineer at Joyent. Systems Performance: Enterprise and the Cloud is a modern, very comprehensive guide to general system performance principles and practices, as well as a highly detailed reference for specific UNIX and Linux observability tools used to examine and diagnose operating system behaviour.  It provides thorough definitions of terms, explains performance diagnostic Best Practices and "Worst Practices" (called "anti-methods"), and covers key observability tools including DTrace, SystemTap, and all the traditional UNIX utilities like vmstat, ps, iostat, and many others. The book focuses on operating system performance principles and expands on these with respect to Linux (Ubuntu, Fedora, and CentOS are cited), and to Solaris and its derivatives [1]; it is not directed at any one OS so it is extremely useful as a broad performance reference. The author goes beyond the intricacies of performance analysis and shows how to interpret and visualize statistical information gathered from the observability tools.  It's often difficult to extract understanding from voluminous rows of text output, and techniques are provided to assist with summarizing, visualizing, and interpreting the performance data. Gregg includes myriad useful references from the system performance literature, including a "Who's Who" of contributors to this great body of diagnostic tools and methods. This outstanding book should be required reading for UNIX and Linux system administrators as well as anyone charged with diagnosing OS performance issues.  Moreover, the book can easily serve as a textbook for a graduate level course in operating systems [2]. [1] Solaris 11, of course, and Joyent's SmartOS (developed from OpenSolaris) [2] Gregg has taught system performance seminars for many years; I have also taught such courses...this book would be perfect for the OS component of an advanced CS curriculum.

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  • C++ Development Cinder/Visual Studio

    - by jayReegs
    I'm currently taking a Data Structures course that involves the development of C++ applications using microsoft visual studio express c++, an application called Cinder, and we turn in assignments via GitHub. I know Mac users in the class use X code to develop to our needs although some small issues arise with compilation that needs some debug work to be done. Windows just isn't cutting it for me anymore...I've welcomed myself to the darkside...I'm wondering if Linux distros have any development tools that would be compatible to create and run these types of applications?

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  • What is Database Continuous Integration?

    - by David Atkinson
    Although not everyone is practicing continuous integration, many have at least heard of the concept. A recent poll on www.simple-talk.com indicates that 40% of respondents are employing the technique. It is widely accepted that the earlier issues are identified in the development process, the lower the cost to the development process. The worst case scenario, of course, is for the bug to be found by the customer following the product release. A number of Agile development best practices have evolved to combat this problem early in the development process, including pair programming, code inspections and unit testing. Continuous integration is one such Agile concept that tackles the problem at the point of committing a change to source control. This can alternatively be run on a regular schedule. This triggers a sequence of events that compiles the code and performs a variety of tests. Often the continuous integration process is regarded as a build validation test, and if issues were to be identified at this stage, the testers would simply not 'waste their time ' and touch the build at all. Such a ‘broken build’ will trigger an alert and the development team’s number one priority should be to resolve the issue. How application code is compiled and tested as part of continuous integration is well understood. However, this isn’t so clear for databases. Indeed, before I cover the mechanics of implementation, we need to decide what we mean by database continuous integration. For me, database continuous integration can be implemented as one or more of the following: 1)      Your application code is being compiled and tested. You therefore need a database to be maintained at the corresponding version. 2)      Just as a valid application should compile, so should the database. It should therefore be possible to build a new database from scratch. 3)     Likewise, it should be possible to generate an upgrade script to take your already deployed databases to the latest version. I will be covering these in further detail in future blogs. In the meantime, more information can be found in the whitepaper linked off www.red-gate.com/ci If you have any questions, feel free to contact me directly or post a comment to this blog post.

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  • What is Database Continuous Integration?

    - by SQLDev
    Although not everyone is practicing continuous integration, many have at least heard of the concept. A recent poll on www.simple-talk.com indicates that 40% of respondents are employing the technique. It is widely accepted that the earlier issues are identified in the development process, the lower the cost to the development process. The worst case scenario, of course, is for the bug to be found by the customer following the product release. A number of Agile development best practices have evolved to combat this problem early in the development process, including pair programming, code inspections and unit testing. Continuous integration is one such Agile concept that tackles the problem at the point of committing a change to source control. This can alternatively be run on a regular schedule. This triggers a sequence of events that compiles the code and performs a variety of tests. Often the continuous integration process is regarded as a build validation test, and if issues were to be identified at this stage, the testers would simply not 'waste their time ' and touch the build at all. Such a ‘broken build’ will trigger an alert and the development team’s number one priority should be to resolve the issue. How application code is compiled and tested as part of continuous integration is well understood. However, this isn’t so clear for databases. Indeed, before I cover the mechanics of implementation, we need to decide what we mean by database continuous integration. For me, database continuous integration can be implemented as one or more of the following: 1)      Your application code is being compiled and tested. You therefore need a database to be maintained at the corresponding version. 2)      Just as a valid application should compile, so should the database. It should therefore be possible to build a new database from scratch. 3)     Likewise, it should be possible to generate an upgrade script to take your already deployed databases to the latest version. I will be covering these in further detail in future blogs. In the meantime, more information can be found in the whitepaper linked off www.red-gate.com/ci If you have any questions, feel free to contact me directly or post a comment to this blog post.

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  • T-SQL Tuesday 24: Ode to Composable Code

    - by merrillaldrich
    I love the T-SQL Tuesday tradition, started by Adam Machanic and hosted this month by Brad Shulz . I am a little pressed for time this month, so today’s post is a short ode to how I love saving time with Composable Code in SQL. Composability is one of the very best features of SQL, but sometimes gets picked on due to both real and imaginary performance worries. I like to pick composable solutions when I can, while keeping the perf issues in mind, because they are just so handy and eliminate so much...(read more)

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  • How do I make the F-keys work in byobu on 12.04, for midnight commander (mc), htop, etc?

    - by Jorge Castro
    I use byobu with the tmux backend on my 12.04 server. I'd like to use the midnight commander shortcut keys with it, but the F keys don't work. I've seen some posts on the issues here: https://bugs.launchpad.net/byobu/+bug/386363 https://answers.launchpad.net/byobu/+question/127610 but they are out of date and don't seem to work for newer versions of byobu. How can I either work around this or use MC in a way that works better?

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  • Manual Uninstall Adobe Reader 9.2

    - by Eric Johnson
    Lately, I've been having issues with Adobe Reader and noticed that I had multiple versions installed.  Unfortunately I was unable to remove Reader 9.2 through add/remove programs.  However, I found this handy msi command that manually removed it from my machine. msiexec /x {AC76BA86-7AD7-1033-7B44-A92000000001} /qn

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  • Free eBook "Troubleshooting SQL Server: A Guide for the Accidental DBA"

    - by TATWORTH
    "SQL Server-related performance problems come up regularly and diagnosing and solving them can be difficult and time consuming. Read SQL Server MVP Jonathan Kehayias’ Troubleshooting SQL Server: A Guide for the Accidental DBA for descriptions of the most common issues and practical solutions to fix them quickly and accurately." Please go to http://www.red-gate.com/products/dba/sql-monitor/entrypage/tame-unruly-sql-servers-ebook RedGate produce some superb tools for SQL Server. Jonathan's book is excellent - I commend it to all SQL DBA and developers.

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  • APress Deal of the Day 14/August/2014 - Software Exorcism

    - by TATWORTH
    Originally posted on: http://geekswithblogs.net/TATWORTH/archive/2014/08/14/apress-deal-of-the-day-14august2014---software-exorcism.aspxToday’s $10 Deal of the Day from APress at http://www.apress.com/9781430251071 is Software Exorcism! “Software Exorcism discusses tools and techniques for effective and aggressive debugging, gives optimization strategies that appeal to all levels of programmers, and presents in-depth treatments of technical issues with honest assessments. ”

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  • Wifi too slow on 11.10/12.04

    - by Jorge Pinho
    As the title above mentions, i've some issues with wireless connection on both ubuntu 11.10 and 12.04. I've installed the latest drivers (Atheros AR928x), like "compact-wireless package" on several machines including ubuntu 11.10. The connection still too slow. My internet connection is 100 mb so, using WLAN connection, it should give me 70/80 mb of signal... instead of the 40/50 mb that i'm experience right now.. Do you have a solution to increase the signal?

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  • How to implement an email unsubscribe system for a site with many kinds of emails?

    - by Mike Liu
    I'm working on a website that features many different types of emails. Users have accounts, and when logged in they have access to a setting page that they can use to customize what types of emails they receive. However, I'd like to also give users an easy way to unsubscribe directly in the emails they receive. I've looked into list unsubscribe headers as well as creating some type of one click link that would unsubscribe a user from that type of email without requiring login or further action. The later would probably require me to break convention and make changes to the database in response to a GET on the link. However, am I incorrect in thinking that either of these would require me to generate and permanently store a unique identifier in my database for every email I ever send, really complicating email delivery? Without that, I'm not sure how I would be able to uniquely identify a user and a type of email in order to change their email preferences, and this identifier would need to be stored forever as a user could have an email sitting in their inbox for a long time before they decide to act on it. Alternatively, I was considering having a no-login page for managing email preferences. In contrast to above where I would need one of these identifiers for each email, this would only need one identifier per user, with no generation or other action required on sending an email. All of these raise security issues, and they could potentially be used by people to tamper with others' email preferences. This could be mitigated somewhat by ensuring that the identifier is really difficult to guess. For the once per user identifier approach, I was considering generating the identifier by passing a user's ID through some type of encryption algorithm, is this a sound approach? For the per-email identifiers, perhaps I could use a user's ID appended to the time. However, even this would not eliminate the problem entirely, as this would really just be security through obscurity, and anyone with the URL could tamper, and in the end the main defense would have to be that most people aren't so bored as to tamper with other people's email preferences. Are there any other alternatives I've missed, or issues or solutions with these that anyone can provide insight on? What are best practices in this area?

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  • Oracle and Deloitte Consulting - Governance, Risk and Compliance

    Lee Dittmar, principal with Deloitte Consulting's Enterprise Governance practice; Folia Grace, Oracle's Vice President of ERP and CPM Applications Marketing; and Lane Leskela, Oracle's Senior Product Marketing Director for Governance, Risk and Compliance Applications talk with Fred about the technology issues organizations are facing around governance, risk and compliance (GRC) and Deloitte's and Oracle's approach to helping organizations achieve and sustain GRC.

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  • The Value of SOA Specialization - Fujitsu

    - by Jürgen Kress
    Thanks for the nice ink The Value of Specialization In my last post  I talked about Fujitsu's achievement in obtaining SOA and other specializations, but I have heard murmurings from other partners about what just is the value? I think Oracle have to do more to advertise the benefits to customers, we need to see customers asking for specialization for it to really work, but Oracle have made great promises about only recommending those partners who are specialized. For us there was another benefit. Oracle was sponsoring the 3rd Annual SOA Symposium in Berlin and invited us as their first specialized partner to take part. There is a great blog about the symposium on the SOA community blog site. This is real commitment from Oracle and we have other marketing opportunities being worked on with Jürgen. This does generate leads so my message to other Oracle Partners is, you need to do this, it is worthwhile.   Fujitsu - First SOA Specialized Partner Globally Just before Oracle Open World I found out that Fujitsu had achieved the first SOA Specialization globally. I think most partners know what the requirements are for Specialization and that in itself is challenging but the bureaucracy around the actual submission is an exercise in tenacity. I won’t go into that now; I have had my dig at Oracle this month, but enough to say the process could be improved. As a platinum partner we needed 5 specializations and we decided to go for SOA first. The reasoning behind this is that our Oracle Practice is known for being applications centric. We have always had an excellent technical capability but no one ever talked about that, it was just part and parcel of an implementation. However today we have just as many bids that are technology lead as there is applications lead, so it seemed a good plan to work on the areas we were not known for. We appointed a capability lead to be responsible for putting the team through the training and testing and Rosemary (Kell) was excellent, she ensured that everyone was on track and that it wasn’t just getting put into the ‘to do list’. In Fujitsu everyone in the Oracle Practice has an objective to achieve the competency tests in their area, so achieving the 2 pre sales, 2 sales and 1 support was no problem at all. We actually had 22 with the support capability proficiency.  The implementation specialist exams are much harder, more like OCP in the database area. We had help from the Oracle SOA Community; Jürgen Kress who runs this in EMEA is really motivational. At the time we started SOA was a beta exam which means you do not get the results immediately but again we put forward more than we needed. Manjit Chopra, Sukhraj Sahota, Emely Patra, Ian Scorrer and Sunny Sidhu all took the exam and eventually got the results they wanted they had passed. Congratulations. Here is Jurgen expalining why specialization is important. After the tests came the submissions where you need to include deals and experience, this was my bit, and persuading Oracle we really deserved the specialization. Finally we got the news we had been awarded the specialization, and a few days later that we were first globally. I am very proud. However there is no rest for the wicked and we plodded on to make the 5 specializations needed for Platinum and now we are working on the new Diamond status and I think SOA will be one of our 5 ‘super specializations’. This is a global Fujitsu initiative and I work closely with my colleague in Germany Jessika Weiss. It was nice to be able to have a press release about this and a comment from Judson Althoff  head of Oracle Alliances. For more information on SOA Specialization and the SOA Partner Community please feel free to register at www.oracle.com/goto/emea/soa (OPN account required) Blog Twitter LinkedIn Mix Forum Wiki Website Technorati Tags: SOA,SOA Community,OPN,Oracle,Fujitsu,Debra Lilley,Jürgen Kress,Specialization,SOA Specialization

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  • How your Standard can become AWEsome

    - by NeilHambly
    Having tried to make a fun play on words to illustrate that for Standard Editions of SQL Server 2005/2008 since the releases of these Cumulative Updates: SQL 2005 SP3 & CU4 / SQL 2008 SP1 & CU2 we can make real use of AWE! Since (Mid 2009) when these CU’s where released, the ability to make use of required privilege “locking-pages-in-memory” which previously was only available in Enterprise Edition, allowing us to make use of those AWE APIs for resolving working set trim issues that resulted...(read more)

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  • Set and Verify the Retention Value for Change Data Capture

    - by AllenMWhite
    Last summer I set up Change Data Capture for a client to track changes to their application database to apply those changes to their data warehouse. The client had some issues a short while back and felt they needed to increase the retention period from the default 3 days to 5 days. I ran this query to make that change: sp_cdc_change_job @job_type='cleanup', @retention=7200 The value 7200 represents the number of minutes in a period of 5 days. All was well, but they recently asked how they can verify...(read more)

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  • Subscription service or software to handle a Magazine's PDF

    - by Paolo
    I'm looking for an installable or hosted software (service) to handle the process of public users subscribing to the Magazine and receiving the PDF automatically upon an admin upload the new one. The system will have to: handle the money part (PayPal&Co. are OK) let user buy old issues of the Magazine warn user on subscription expiring, etc. PDF stamping and WordPress integration (user credential sharing, page access of subriscrebed goods, etc) will be a big plus.

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  • How to deal with WYSIWYG editors?

    - by Pino
    There are now lots of WYSIWYG editors, however whenever we use one on a cms based website we consitently have issues. The biggest being users pasting conent from word, other online sources and all the various formatting rules being added in "behind the scenes" How do you deal with these editors on a live production website? I love markdown, however its target market is most definatly the tech industry.

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  • Poll Results: Foreign Key Constraints

    - by Darren Gosbell
    A few weeks ago I did the following post asking people – if they used foreign key constraints in their star schemas. The poll is still open if you are interested in adding to it, but here is what the chart looks like as of today. (at the bottom of the poll itself there is a link to the live results, unfortunately I cannot link the live results in here as the blogging platform blocks the required javascript)   Interestingly the results are fairly even. Of the 78 respondents, fractionally over half at least aim to start with referential integrity in their star schemas. I did not want to influence the results by sharing my opinion, but my personal preference is to always aim to have foreign key constraints. But at the same time, I am pragmatic about it, I do have projects where for various reasons some constraints are not defined. And I also have other designs that I have inherited, where it would just be too much work to go back and add foreign key constraints. If you are going to implement foreign keys in your star schema, they really need to be there at the start. In fact this poll was was the result of a feature request for BIDSHelper asking for a feature to check for null/missing foreign keys and I am entirely convinced that BIDS is the wrong place for this sort of functionality. BIDS is a design tool, your data needs to be constantly checked for consistency. It's not that I think that it's impossible to get a design working without foreign key constraints, but I like the idea of failing as soon as possible if there is an error and enforcing foreign key constraints lets me "fail early" if there are constancy issues with my data. By far the biggest concern with foreign keys is performance and I suppose I'm curious as to how often people actually measure and quantify this. I worked on a project a number of years ago that had very large data volumes and we did find that foreign key constraints did have a measurable impact, but what we did was to disable the constraints before loading the data, then enabled and checked them afterwards. This saved as time (although not as much as not having constraints at all), but still let us know early in the process if there were any consistency issues. For the people that do not have consistent data, if you have ETL processes that you control that are building your star schema which you also control, then to be blunt you only have yourself to blame. It is the job of the ETL process to make the data consistent. There are techniques for handling situations like missing data as well as  early and late arriving data. Ralph Kimball's book – The Data Warehouse Toolkit goes through some design patterns for handling data consistency. Having foreign key relationships can also help the relational engine to optimize queries as noted in this recent blog post by Boyan Penev

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  • UnrealScript error: Importing defaults for actor: Changing Role in defaultproperties illegal, - what is it importing?

    - by user3079666
    I added the line var float Mass; to Actor and commented it out of the classes that inherit from actor and declare it, fixed all issues but I now get the error message: Error, Importing defaults for Actor: Changing Role in defaultproperties is illegal (was RemoteRole intended?) The thing is, I did not change anything related to Role or in defaultproperties. Also since it says Importing, I'm guessing it's some ini file.. any clues?

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