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  • How To Enlarge a Virtual Machine’s Disk in VirtualBox or VMware

    - by Chris Hoffman
    When you create a virtual hard disk in VirtualBox or VMware, you specify a maximum disk size. If you want more space on your virtual machine’s hard disk later, you’ll have to enlarge the virtual hard disk and partition. Note that you may want to back up your virtual hard disk file before performing these operations – there’s always a chance something can go wrong, so it’s always good to have backups. However, the process worked fine for us. Image Credit: flickrsven How To Create a Customized Windows 7 Installation Disc With Integrated Updates How to Get Pro Features in Windows Home Versions with Third Party Tools HTG Explains: Is ReadyBoost Worth Using?

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  • How Curiosity Took Its Self Portrait [Video]

    - by Jason Fitzpatrick
    There was enough confusion among the public as to how exactly the Curiosity Rover was able to photograph itself without the camera arm intruding into the photo that NASA released this video detailing the process. For those readers familiar with photograph blending and stitching using multiple photo sources, this should come as no surprise. For the unfamiliar, it’s an interesting look at how dozens of photos can be blended together so effectively that the arm–robotic or otherwise–of the photographer can be taken right out. Hit up the link below to read more about how NASA practiced on Earth for the shot and to see a high-res copy of the actual self portrait. Mars Rover Self-Portrait Shoot Uses Arm Choreography [NASA] Secure Yourself by Using Two-Step Verification on These 16 Web Services How to Fix a Stuck Pixel on an LCD Monitor How to Factory Reset Your Android Phone or Tablet When It Won’t Boot

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  • Reverse Search Images Easily with the TinEye Client for Windows

    - by Asian Angel
    Are you a frequent user of TinEye and would like to integrate it into your favorite Windows system? Then get ready to enjoy Context Menu and App Window goodness with the TinEye Client for Windows. After you have downloaded the zip file, unzip it and run the setup file inside. Once the installation process has finished you will be asked if you would like to launch TinEye Client immediately or not. If not then you can access it later using the new shortcut added to the Start Menu. We chose to let the program launch automatically…this is what the main window looks like. For our test we decided to access the client via the Context Menu using a picture of Doc Brown’s DeLorean in hover conversion mode. HTG Explains: Understanding Routers, Switches, and Network Hardware How to Use Offline Files in Windows to Cache Your Networked Files Offline How to See What Web Sites Your Computer is Secretly Connecting To

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  • How to restore your production database without needing additional storage

    - by David Atkinson
    Production databases can get very large. This in itself is to be expected, but when a copy of the database is needed the database must be restored, requiring additional and costly storage.  For example, if you want to give each developer a full copy of your production server, you'll need n times the storage cost for your n-developer team. The same is true for any test databases that are created during the course of your project lifecycle. If you've read my previous blog posts, you'll be aware that I've been focusing on the database continuous integration theme. In my CI setup I create a "production"-equivalent database directly from its source control representation, and use this to test my upgrade scripts. Despite this being a perfectly valid and practical thing to do as part of a CI setup, it's not the exact equivalent to running the upgrade script on a copy of the actual production database. So why shouldn't I instead simply restore the most recent production backup as part of my CI process? There are two reasons why this would be impractical. 1. My CI environment isn't an exact copy of my production environment. Indeed, this would be the case in a perfect world, and it is strongly recommended as a good practice if you follow Jez Humble and David Farley's "Continuous Delivery" teachings, but in practical terms this might not always be possible, especially where storage is concerned. It may just not be possible to restore a huge production database on the environment you've been allotted. 2. It's not just about the storage requirements, it's also the time it takes to do the restore. The whole point of continuous integration is that you are alerted as early as possible whether the build (yes, the database upgrade script counts!) is broken. If I have to run an hour-long restore each time I commit a change to source control I'm just not going to get the feedback quickly enough to react. So what's the solution? Red Gate has a technology, SQL Virtual Restore, that is able to restore a database without using up additional storage. Although this sounds too good to be true, the explanation is quite simple (although I'm sure the technical implementation details under the hood are quite complex!) Instead of restoring the backup in the conventional sense, SQL Virtual Restore will effectively mount the backup using its HyperBac technology. It creates a data and log file, .vmdf, and .vldf, that becomes the delta between the .bak file and the virtual database. This means that both read and write operations are permitted on a virtual database as from SQL Server's point of view it is no different from a conventional database. Instead of doubling the storage requirements upon a restore, there is no 'duplicate' storage requirements, other than the trivially small virtual log and data files (see illustration below). The benefit is magnified the more databases you mount to the same backup file. This technique could be used to provide a large development team a full development instance of a large production database. It is also incredibly easy to set up. Once SQL Virtual Restore is installed, you simply run a conventional RESTORE command to create the virtual database. This is what I have running as part of a nightly "release test" process triggered by my CI tool. RESTORE DATABASE WidgetProduction_virtual FROM DISK=N'C:\WidgetWF\ProdBackup\WidgetProduction.bak' WITH MOVE N'WidgetProduction' TO N'C:\WidgetWF\ProdBackup\WidgetProduction_WidgetProduction_Virtual.vmdf', MOVE N'WidgetProduction_log' TO N'C:\WidgetWF\ProdBackup\WidgetProduction_log_WidgetProduction_Virtual.vldf', NORECOVERY, STATS=1, REPLACE GO RESTORE DATABASE mydatabase WITH RECOVERY   Note the only change from what you would do normally is the naming of the .vmdf and .vldf files. SQL Virtual Restore intercepts this by monitoring the extension and applies its magic, ensuring the 'virtual' restore happens rather than the conventional storage-heavy restore. My automated release test then applies the upgrade scripts to the virtual production database and runs some validation tests, giving me confidence that were I to run this on production for real, all would go smoothly. For illustration, here is my 8Gb production database: And its corresponding backup file: Here are the .vldf and .vmdf files, which represent the only additional used storage for the new database following the virtual restore.   The beauty of this product is its simplicity. Once it is installed, the interaction with the backup and virtual database is exactly the same as before, as the clever stuff is being done at a lower level. SQL Virtual Restore can be downloaded as a fully functional 14-day trial. Technorati Tags: SQL Server

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  • Week in Geek: 50 Million Viruses and More on the Way Edition

    - by Asian Angel
    This week we learned how to backup and copy data between iOS devices, use Linux commands in Windows with Cygwin, boost email writing productivity with Microsoft Word Mail Merge, be more productive in Ubuntu using keyboard shortcuts, “restore the FTP service in XBMC, rename downloaded TV shows, access the Android Market in emulation”, and more Latest Features How-To Geek ETC How To Create Your Own Custom ASCII Art from Any Image How To Process Camera Raw Without Paying for Adobe Photoshop How Do You Block Annoying Text Message (SMS) Spam? How to Use and Master the Notoriously Difficult Pen Tool in Photoshop HTG Explains: What Are the Differences Between All Those Audio Formats? How To Use Layer Masks and Vector Masks to Remove Complex Backgrounds in Photoshop Enjoy Clutter-Free YouTube Video Viewing in Opera with CleanTube Bring Summer Back to Your Desktop with the LandscapeTheme for Chrome and Iron The Prospector – Home Dash Extension Creates a Whole New Browsing Experience in Firefox KinEmote Links Kinect to Windows Why Nobody Reads Web Site Privacy Policies [Infographic] Asian Temple in the Snow Wallpaper

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  • Professional iOS Development as a Backup Career [closed]

    - by New Coder
    I am a research chemist by day and I am a self-taught hobbyist iOS programmer by night. I am in the process of developing a moderately complex iOS app and hope to launch it within a month or two. I love everything about iOS development (and programming in general). I want to know if iOS development could become a backup career for me if I loose my job. My question: Let's say I had a couple of apps in the app store, a solid foundation in objective-C and the apple frameworks and basic knowledge on network integrated apps. Without a formal CS degree, what other experience/knowledge would I need to land a job as a professional iOS developer? Forgive me if this question is out of bounds for this forum. If it is, suggestions on where to post such a question would be appreciated.

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  • How to install and make development use of gtk+ on Ubuntu 12.04

    - by el10780
    I want to install gtk+ in order to make an application with a graphical environment.I went to the official website of gtk(gtk.org) and I tried to follow the instructions,but I wasn't able to make it work.I think that I have successfully managed to do the whole process till the part that I had to run make install and after that ldconfig.So far so good.After that though the complete chaos.I do not know how to set all these configurations so I can make my compilers know where to look for the include files.I just want to make it work in my Ubuntu when I start making a source file and then compile it and run it.

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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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  • Project Kapros: A Custom-Built Workstation Featuring an In-Desk Computer

    - by Jason Fitzpatrick
    While we’ve seen our fair share of case mods, it’s infrequent we see one as polished and built-in as this custom built work station. What started as an IKEA Galant desk, ended as a stunningly executed desk-as-computer build. High gloss paint, sand-blasted plexiglass windows, custom lighting, and some quality hardware all come together in this build to yield a gorgeous setup with plenty of power and style to go around. Hit up the link below for a massive photo album build guide detailing the process from start to finish. Project Kapros: IKEA Galant PC Desk Mod [via Kotaku] How to Stress Test the Hard Drives in Your PC or Server How To Customize Your Android Lock Screen with WidgetLocker The Best Free Portable Apps for Your Flash Drive Toolkit

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  • The PASS Elections Review Committee Needs Your Feedback

    - by andyleonard
    Introduction PASS has had an ERC (Elections Review Committee) forum running for a few months now. There's been surprisingly little feedback, though lots of reads. Here's what it looks like tonight: That's 1,662 views and 37 replies by my count. Not very many replies... Jump In! Now's the time to let PASS know what you think about the current elections process. The ERC members are good people who are trying to make things better. If you have something to add - as simple as "love it!" or "hate it!"...(read more)

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  • libssh2 and simultaneous connections

    - by Florian Margaine
    I'm writing a node.js C++ module using the C library libssh2. The module is supposed to be a bridge to connect to SSH over HTTPS. Right now, I'm still in the design/learning phase of v8 API and C++, and I have a design question: libssh2 is a C library, all its methods are global. From what I see in the examples, libssh2 can only handle one connection at a time. If I want to allow simultaneous connections to different SSH servers, do I have to fork a process to completely separate the libssh2 "instances", or is forking a thread enough? I don't know enough of the separation limit used there. Any idea on how to handle this is appreciated.

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  • Call for Papers Ends March 21

    - by jack.flynn
    Have Something to Say? Better Say So Now. The Call for Papers for Oracle OpenWorld and the Develop Stream of JavaOne+Develop ends at midnight on Sunday, March 21. So if you want to be a part of the most influential IT events of the year, don't let this chance pass you by. This year offers opportunities to speak out about some new subjects: Oracle OpenWorld adds a whole new Server and Storage Systems stream, including Sun servers, Sun storage and tape, and Oracle Solaris operating system. And the Develop audience should be larger and more energetic than ever now that it's co-located with JavaOne. If you have something important to say, this is the time to let us know. Find all the information on the Call for Papers process, timeline, and guidelines here.

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  • How to fix Jdeveloper 11.1.1.2 Hang

    - by nestor.reyes
    Is Jdeveloper hanging on you when use the XPATH expression Builder? Have a look at the Release notes for 11.1.1.2. This will relieve a lot of frustration.http://download.oracle.com/docs/cd/E15523_01/doc.1111/e14770/bpel.htm#BABECHBF16.1.6 Oracle JDeveloper May Hang When Using the Expression Builder Using the Expression Builder to build XPath expressions may cause Oracle JDeveloper to hang. If that happens, perform the following steps: Kill the Oracle JDeveloper process. Restart Oracle JDeveloper. Select Tools > Preferences > SOA, and deselect the Validate Expression checkbox. After performing these steps, Oracle JDeveloper should no longer hang.

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  • Were you a good programmer when you first left university?

    - by dustyprogrammer
    I recently graduated, from university. I have since then joined a development team where I am by far the least experienced developer, with maybe with a couple work terms under my belt, meanwhile the rest of the team is rocking 5-10 years experience. I am/was a very good student and a pretty good programmer when it came to bottled assignments and tests. I have worked on some projects with success. But now I working with a much bigger code-base, and the learning curve is much higher... I was wondering how many other developers started out their careers in teams and left like they sucked. When does this change? How can I speed up the process? My seniors are helping me but I want to be great and show my value now. I don't to start a flame war, this is just a question I have been having and I was hoping to get some advice from other experienced developers, as well as other beginners like me.

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  • 6 Ways to Speed Up Your Ubuntu PC

    - by Chris Hoffman
    Ubuntu is pretty snappy out-of-the-box, but there are some ways to take better advantage of your system’s memory and speed up the boot process. Some of these tips can really speed things up, especially on older hardware. In particular, selecting a lightweight desktop environment and lighter applications can give an older system a new lease on life. That old computer that struggles with Ubuntu’s Unity desktop can provide decent performance for years to come. HTG Explains: Why You Only Have to Wipe a Disk Once to Erase It HTG Explains: Learn How Websites Are Tracking You Online Here’s How to Download Windows 8 Release Preview Right Now

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  • MySQL fails to start after upgrade to 12.04?

    - by radek
    I'm a newbie on MySQL ground so bear with me. I've just finished upgrading 11.10 to 12.04. Everything seemed to work without any hiccups and all my software and settings are working fine. Apart from MySQL. When I try: sudo start mysql I receive an error: start: Job failed to start Where can I possibly diagnose what the problem is? And (hopefully) - how to sort it out? (I disabled automatic start following advice here if that is of some importance) Update 1: Both outputs of: cat /var/log/mysql.err cat /var/log/mysql.log are empty. Output of dmesg | grep mysql: [ 1401.785141] type=1400 audit(1335619832.181:25): apparmor="STATUS" operation="profile_replace" name="/usr/sbin/mysqld" pid=16165 comm="apparmor_parser" [ 1401.791089] init: Failed to spawn mysql main process: unable to execute: No such file or directory Update 2: As indicated by AWinter below - it seemed that MySQL disappeared automagically after upgrade and had to be reinstalled.

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  • Do you develop with security in mind?

    - by MattyD
    I was listening to a podcast on Security Now and they mentioned about how a lot of the of the security problems found in Flash were because when flash was first developed it wasdn't built with security in mind because it didn't need to thus flash has major security flaws in its design etc. I know best practices state that you should build secure first etc. Some people or companies don't always follow 'best practice'... My question is do you develop to be secure or do you build with all the desired functionality etc then alter the code to be secure (Whatever the project maybe) (I realise that this question could be a possible duplicate of Do you actively think about security when coding? but it is different in the fact of actually process of building the software/application and design of said software/application)

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  • What commands are needed to install Ubuntu Core?

    - by Oxwivi
    Ubuntu Core's wiki page page contains the instructions to install Ubuntu Core on a target media: Uncompress (do not unpack) rootfs Format target media: at least one partition should be ext2, ext3, or ext4 Unpack Ubuntu Core to ext{2,3,4} partition Install boot-loader Install Linux If the Linux kernel requires modules, add these to /lib/modules/$(uname -r) in the ext{2,3,4} file system Boot the target device Install any additional required software using apt-get But what are the specific commands to do the above? The things I'm specifically confused about are: Uncompressing and unpacking, what's the difference and how do I do them? What package should I install if I want the generic kernel provided in regular Ubuntu installation? I won't be installing any drivers or anything related to kernel other than what's provided in the repos, do I need to worry about manually adding kernel modules? PS I would like to request that all the commands used in the installation process be mentioned in the answer, for the benefit of ones who're completely unfamiliar and myself, should I ever forget.

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  • Download Firefox 3.6.4 Build 4 (Beta)

    - by samsudeen
    Firefox has released its latest version 3.6.4 as beta. User who has already installed Firefox 3.6.4  can use the update check option in the browser will recognize to download it automatically,so that the browser can be updated. You can also download the latest beta version from the direct link (Firefox 3..6.4) of Mozilla website with the option to select the language and operating system version. As the per the release note from Mozilla this build works on the out of process plug-in module for Adobe Flash, Apple QuickTime or Microsoft Silver light plug-in, so that If a plug-in crashes or freezes, it will not affect the rest of Firefox. You will be able to reload the page to restart the plug-in and try again. The release note also states that many of the security issues and and total of 194 issues from the BugZilla list is fixed. Join us on Facebook to read all our stories right inside your Facebook news feed.

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  • Ubuntu Installation-Allocate drive space/Boot Loader

    - by user10134
    When I try to install ubuntu 10.10 from the official livedisc I got in the mail, when I get to the "Allocate Disk Space" step I cannot get it to work. I shrank my win7 partition so I have unallocated space, then I tried using the space while it is formatted in NTFS, but the partitions will not show up in the box. /dev/sda is selected under boot loader, and I can't select anything else, but the partition box is blank so when I click "install ubuntu" it just says: "No root file system is defined. Please correct this from the partitioning menu." -I am trying to dual-boot win7 and ubuntu, but I was never asked in the install process whether I would like to install just ubuntu or dual-boot?

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  • Article about Sun ZFS Storage Appliances

    - by Owen Allen
    Sun ZFS Storage Appliances are versatile storage systems. Discovering and managing them in Ops Center, though, makes them even more versatile. If you discover a Sun ZFS Storage Appliance in Ops Center 12c, you can create iSCSI and Fibre Channel LUNS, and make the LUNs available to server pools and virtualization hosts as a storage library. Barbara Higgins has written an excellent article that walks you through the process of setting up a Sun ZFS Storage Appliance and discovering and managing it in Ops Center. If you're looking into ways to make a Sun ZFS Storage Appliance work for you, it's worth a look.

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  • Big Data – Buzz Words: What is Hadoop – Day 6 of 21

    - by Pinal Dave
    In yesterday’s blog post we learned what is NoSQL. In this article we will take a quick look at one of the four most important buzz words which goes around Big Data – Hadoop. What is Hadoop? Apache Hadoop is an open-source, free and Java based software framework offers a powerful distributed platform to store and manage Big Data. It is licensed under an Apache V2 license. It runs applications on large clusters of commodity hardware and it processes thousands of terabytes of data on thousands of the nodes. Hadoop is inspired from Google’s MapReduce and Google File System (GFS) papers. The major advantage of Hadoop framework is that it provides reliability and high availability. What are the core components of Hadoop? There are two major components of the Hadoop framework and both fo them does two of the important task for it. Hadoop MapReduce is the method to split a larger data problem into smaller chunk and distribute it to many different commodity servers. Each server have their own set of resources and they have processed them locally. Once the commodity server has processed the data they send it back collectively to main server. This is effectively a process where we process large data effectively and efficiently. (We will understand this in tomorrow’s blog post). Hadoop Distributed File System (HDFS) is a virtual file system. There is a big difference between any other file system and Hadoop. When we move a file on HDFS, it is automatically split into many small pieces. These small chunks of the file are replicated and stored on other servers (usually 3) for the fault tolerance or high availability. (We will understand this in the day after tomorrow’s blog post). Besides above two core components Hadoop project also contains following modules as well. Hadoop Common: Common utilities for the other Hadoop modules Hadoop Yarn: A framework for job scheduling and cluster resource management There are a few other projects (like Pig, Hive) related to above Hadoop as well which we will gradually explore in later blog posts. A Multi-node Hadoop Cluster Architecture Now let us quickly see the architecture of the a multi-node Hadoop cluster. A small Hadoop cluster includes a single master node and multiple worker or slave node. As discussed earlier, the entire cluster contains two layers. One of the layer of MapReduce Layer and another is of HDFC Layer. Each of these layer have its own relevant component. The master node consists of a JobTracker, TaskTracker, NameNode and DataNode. A slave or worker node consists of a DataNode and TaskTracker. It is also possible that slave node or worker node is only data or compute node. The matter of the fact that is the key feature of the Hadoop. In this introductory blog post we will stop here while describing the architecture of Hadoop. In a future blog post of this 31 day series we will explore various components of Hadoop Architecture in Detail. Why Use Hadoop? There are many advantages of using Hadoop. Let me quickly list them over here: Robust and Scalable – We can add new nodes as needed as well modify them. Affordable and Cost Effective – We do not need any special hardware for running Hadoop. We can just use commodity server. Adaptive and Flexible – Hadoop is built keeping in mind that it will handle structured and unstructured data. Highly Available and Fault Tolerant – When a node fails, the Hadoop framework automatically fails over to another node. Why Hadoop is named as Hadoop? In year 2005 Hadoop was created by Doug Cutting and Mike Cafarella while working at Yahoo. Doug Cutting named Hadoop after his son’s toy elephant. Tomorrow In tomorrow’s blog post we will discuss Buzz Word – MapReduce. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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  • Low level Linux graphics

    - by math4tots
    For educational purposes, I'd like to write an application on a Linux environment that can process keyboard events and draw graphics without huge dependencies like X or SDL. I presume that this must be possible, because X and SDL are just programs themselves, so they must rely on other methods inherent to the environment. Is this understanding correct? If so, where might I learn to write such a program? My limited experience tells me that it would involve making calls to the kernel, and/or writing to special files; however, I haven't been able to find any tutorials on the matter (I am not even sure what to Google). Also, in case it is relevant, I am running Debian Squeeze on Virtualbox. I have used a netinst cd without networking, so there isn't much installed on it currently. I will install gcc, but I am hoping I can get by with nothing more.

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  • Oracle E-Business Suite 12 Certified on Oracle Linux 6 (x86-64)

    - by John Abraham
    Oracle E-Business Suite Release 12 (12.1.1 and higher) is now certified on 64-bit Oracle Linux 6 with the Unbreakable Enterprise Kernel (UEK). New installations of the E-Business Suite R12 on this OS require version 12.1.1 or higher. Cloning of existing 12.1 Linux environments to this new OS is also certified using the standard Rapid Clone process. There are specific requirements to upgrade technology components such as the Oracle Database (to 11.2.0.3) and Fusion Middleware as necessary for use on Oracle Linux 6. These and other requirements are noted in the Installation and Upgrade Notes (IUN) below. Certification for other Linux distros still underway Certifications of Release 12 with 32-bit Oracle Linux 6, 32-bit and 64-bit Red Hat Enterprise Linux (RHEL) 6 and the Red Hat default kernel are in progress. References Oracle E-Business Suite Installation and Upgrade Notes Release 12 (12.1.1) for Linux x86-64 (My Oracle Support Document 761566.1) Cloning Oracle Applications Release 12 with Rapid Clone (My Oracle Support Document 406982.1) Interoperability Notes Oracle E-Business Suite Release 12 with Oracle Database 11g Release 2 (11.2.0) (My Oracle Support Document 1058763.1) Oracle Linux website

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  • How to control in the vertex shader where pixel ends up in the renderTarget?

    - by cubrman
    What if I have an arbitrary renderTarget, that is smaller than the screen (say it is 1x1 pixel) and I want to make sure in the VertexShaderFunction that all my pixels end up exactly in that 1 pixel region? No matter what I do, they all seem to get culled at some point, though GraphicDevise.Clear() works OK. Where is the top left corner of the renderTarget Vertex-shader-vise? I tried output.Position = (0,0,0,0)/(0,0,0,1)/(1,1,1,1)/(-0.5,0.5,0,1) NOTHING works! Fullscreen quad is not an option 'cause I actually need to process geometry in the shaders to get the results I need.

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