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  • Tip: Keeping the ADF Mobile PDF Guide up to date

    - by Chris Muir
    This is a little tip for customers using Oracle's ADF Mobile. If you're like me, it's possible you don't rely on the online HTML version of the Mobile Developer's Guide for ADF, but rather download a PDF version of the file to use locally (look to the "PDF" link to the top right of the guide).  For me the convenience of the PDF is it's faster, I can search the whole document easily, I can split read the document across two pages on my home monitor, if I lose my internet connection the document is still available, and it's easy to read on my iPad (especially on long haul flights to the US across the Pacific where there is no internet connection!). The trigger point for me to download the Oracle PDF documentation has always been on a new point release of JDeveloper.  However in the case of ADF Mobile, as an extension to JDeveloper it is releasing at a much faster and independent schedule to JDeveloper and this includes updates to the documentation. As such the 11.1.2.4.0 ADF Mobile PDF guide you have locally might be out of date and you should take the opportunity to download the latest version.  This is also particularly important for ADF Mobile as not only are many new features being added for each release and included in the new documentation, but the guide is under rapid improvement to clarify much of what has been written to date.  Our documentation teams are super responsive to suggestions on how to improve the guides and this often shows per point release. How do you tell you've the latest guide? Look to the document part number which right now is "E24475-03".  This is a unique ID per release for the document, the first part being the document number, and the part after the dash the revision number.  If the website document number has a higher revision number, time to download a new up to date PDF. One last thing to share, you can follow the ADF Mobile guide document manager Brian Duffield on Twitter to keep abreast of updates. Image courtesy of Stuart Miles / FreeDigitalPhotos.net

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  • How the OS Makes the Database Scream

    - by rickramsey
    source Few things are as satisfying as a screaming burnout. When Oracle Database engineers team up with Solaris engineers, they do a lot of them. Here are a few of the reasons why. Article: How the OS Makes the Database Fast - Oracle Solaris For applications that rely on Oracle Database, a high-performance operating system translates into faster transactions, better scalability to support more users, and the ability to support larger capacity databases. When deployed in virtualized environments, multiple Oracle Database servers can be consolidated on the same physical server. Ginny Henningsen describes what Oracle Solaris does to make the Oracle database run faster. Interview: Why Is The OS Still Relevant? In a world of increasing virtualization and growing interest in cloud services, why is the OS still relevant? Michael Palmeter, senior director of Oracle Solaris, explains why it's not only relevant, but essential for data centers that care about performance. Interview: An Engineer's Perspective: Why the OS Is Still Relevant Sysadmins are handling hundreds or perhaps thousands of VM's. What is it about Solaris that makes it such a good platform for managing those VM's? Liane Praza, senior engineer in the Solaris core engineering group provides an engineer's perspective. Interview in the Lab: How to Get the Performance Promised by Oracle's T5 SPARC Chips If you want your applications to run on the new SPARC T5/M5 chips, how do you make sure they use all that new performance? Don Kretsch, Senior Director of Engineering, explains. Interview: Why Oracle Database Engineering Uses Oracle Solaris Studio The design priorities for Oracle Solaris Studio are performance, observability, and productivity. Why this is good for ISV's and developers, and why it's so important to the Oracle database engineering team. Taped in Oct 2012. - Rick Follow me on: Blog | Facebook | Twitter | YouTube | The Great Peruvian Novel

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  • Oracle Solaris 11.1 available today

    - by user12611852
    Today Oracle is pleased to announce availability of Oracle Solaris 11.1. Download Solaris 11.1 Order Solaris 11.1 media kitExisting customers can quickly and simply update using the network based repository Highlights include: 8x faster database startup and shutdown and online resizing of the database SGA with a new optimized shared memory interface between the database and Oracle Solaris 11.1 Up to 20% throughput increases for Oracle Real Application Clusters by offloading lock management into the Oracle Solaris kernel Expanded support for Software Defined Networks (SDN) with Edge Virtual Bridging enhancements to maximize network resource utilization and manage bandwidth in cloud environments 4x faster Solaris Zone updates with parallel operations shorten maintenance windows New built-in memory predictor monitors application memory use and provides optimized memory page sizes and resource location to speed overall application performance. Learn more and share these valuable tools with your customers to enable them to move to Oracle Solaris 11.1 quickly. Many customers wait for the first update --now is the time to encourage them to install Oracle Solaris 11.1. Oracle Solaris 11.1 Data Sheet  What's New in Oracle Solaris 11.1 Oracle Solaris 11.1 FAQs Oracle Solaris 11 .1 Customer Presentation Oracle Solaris 11.1 is recommended for all SPARC T4 Systems and will soon be available preinstalled.

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  • I'm a Subversion geek, why should I consider or not consider Mercurial or Git or any other DVCS?

    - by user2567
    I try to understand the benefits of distributed version control system (DVCS). I found Subversion Re-education and this article by Martin Fowler very useful. Mercurial and others DVCS promote a new way of working on code with changesets and local commits. It prevents from merging hell and other collaboration issues We are not affected by this as I practice continuous integration and working alone in a private branch is not an option, unless we are experimenting. We use a branch for every major version, in which we fix bugs merged from the trunk. Mercurial allows you to have lieutenants I understand this can be useful for very large projects like Linux, but I don't see the value in small and highly collaborative teams (5 to 7 people). Mercurial is faster, takes less disk space and full local copy allows faster logs & diffs operations. I'm not concerned by this either, as I didn't notice speed or space problems with SVN even with very large projects I'm working on. I'm seeking for your personal experiences and/or opinions from former SVN geeks. Especially regarding the changesets concept and overall performance boost you measured. UPDATE (12th Jan): I'm now convinced that it worth a try. UPDATE (12th Jun): I kissed Mercurial and I liked it. The taste of his cherry local commits. I kissed Mercurial just to try it. I hope my SVN Server don't mind it. It felt so wrong. It felt so right. Don't mean I'm in love tonight. FINAL UPDATE (29th Jul): I had the privilege to review Eric Sink's next book called Version Control by Example. He finished to convince me. I'll go for Mercurial.

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  • Layers - Logical seperation vs physical

    - by P.Brian.Mackey
    Some programmers recommend logical seperation of layers over physical. For example, given a DL, this means we create a DL namespace not a DL assembly. Benefits include: faster compilation time simpler deployment Faster startup time for your program Less assemblies to reference Im on a small team of 5 devs. We have over 50 assemblies to maintain. IMO this ratio is far from ideal. I prefer an extreme programming approach. Where if 100 assemblies are easier to maintain than 10,000...then 1 assembly must be easier than 100. Given technical limits, we should strive for < 5 assemblies. New assemblies are created out of technical need not layer requirements. Developers are worried for a few reasons. A. People like to work in their own environment so they dont step on eachothers toes. B. Microsoft tends to create new assemblies. E.G. Asp.net has its own DLL, so does winforms. Etc. C. Devs view this drive for a common assembly as a threat. Some team members Have a tendency to change the common layer without regard for how it will impact dependencies. My personal view: I view A. as silos, aka cowboy programming and suggest we implement branching to create isolation. C. First, that is a human problem and we shouldnt create technical work arounds for human behavior. Second, my goal is not to put everything in common. Rather, I want partitions to be made in namespaces not assemblies. Having a shared assembly doesnt make everything common. I want the community to chime in and tell me if Ive gone off my rocker. Is a drive for a single assembly or my viewpoint illogical or otherwise a bad idea?

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  • The Oracle EMEA Partner Event of the Year- FREE, LIVE & ONLINE!

    - by Claudia Costa
    New products. New specializations. New opportunities. Find out how you can use them to build your Oracle business even faster and more effectively in 2010/11. The date for your diary is the 29th of June 2010, at 11:00 GMT. And this summer's event is bigger and better than ever. You will learn: What Oracle's acquisition of Sun Microsystems means for your business and your customers How Oracle Specialization can help you grow faster and smarter, and how Oracle partners from across the region are already benefitting Why Oracle's latest technology, applications, middleware and hardware products and solutions offer you unbeatable new business opportunities How Oracle's partner program is evolving to help partners succeed with a live link to the Oracle FY11 Global Partner Kickoff How specialization has helped a former Microsoft executive become one of the world's most successful social entrepreneurs You'll also have the chance to network with Oracle experts and other partners, and download valuable collateral from specially constructed virtual information booths. Plus, at the end of the event, submit your feedback form for the chance to win two passes to Oracle OpenWorld in San Francisco this September! Don't miss out! REGISTER TODAY!  for this exciting, exclusive online event. Visit here for more information and to view the complete agenda We look forward to welcoming you on the 29th of June! Yours sincerely, Stein SurlienSenior Vice President, Alliances & Channels, Oracle EMEA PS. The Oracle PartnerNetwork Days Virtual Event will be followed by "Oracle PartnerNetwork Days Executive Forums", and "Oracle PartnerNetwork Days Satellite Events" in various countries. Please look out for further communications from your local Oracle team.

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  • 8 Things You Can Do In Android’s Developer Options

    - by Chris Hoffman
    The Developer Options menu in Android is a hidden menu with a variety of advanced options. These options are intended for developers, but many of them will be interesting to geeks. You’ll have to perform a secret handshake to enable the Developer Options menu in the Settings screen, as it’s hidden from Android users by default. Follow the simple steps to quickly enable Developer Options. Enable USB Debugging “USB debugging” sounds like an option only an Android developer would need, but it’s probably the most widely used hidden option in Android. USB debugging allows applications on your computer to interface with your Android phone over the USB connection. This is required for a variety of advanced tricks, including rooting an Android phone, unlocking it, installing a custom ROM, or even using a desktop program that captures screenshots of your Android device’s screen. You can also use ADB commands to push and pull files between your device and your computer or create and restore complete local backups of your Android device without rooting. USB debugging can be a security concern, as it gives computers you plug your device into access to your phone. You could plug your device into a malicious USB charging port, which would try to compromise you. That’s why Android forces you to agree to a prompt every time you plug your device into a new computer with USB debugging enabled. Set a Desktop Backup Password If you use the above ADB trick to create local backups of your Android device over USB, you can protect them with a password with the Set a desktop backup password option here. This password encrypts your backups to secure them, so you won’t be able to access them if you forget the password. Disable or Speed Up Animations When you move between apps and screens in Android, you’re spending some of that time looking at animations and waiting for them to go away. You can disable these animations entirely by changing the Window animation scale, Transition animation scale, and Animator duration scale options here. If you like animations but just wish they were faster, you can speed them up. On a fast phone or tablet, this can make switching between apps nearly instant. If you thought your Android phone was speedy before, just try disabling animations and you’ll be surprised how much faster it can seem. Force-Enable FXAA For OpenGL Games If you have a high-end phone or tablet with great graphics performance and you play 3D games on it, there’s a way to make those games look even better. Just go to the Developer Options screen and enable the Force 4x MSAA option. This will force Android to use 4x multisample anti-aliasing in OpenGL ES 2.0 games and other apps. This requires more graphics power and will probably drain your battery a bit faster, but it will improve image quality in some games. This is a bit like force-enabling antialiasing using the NVIDIA Control Panel on a Windows gaming PC. See How Bad Task Killers Are We’ve written before about how task killers are worse than useless on Android. If you use a task killer, you’re just slowing down your system by throwing out cached data and forcing Android to load apps from system storage whenever you open them again. Don’t believe us? Enable the Don’t keep activities option on the Developer options screen and Android will force-close every app you use as soon as you exit it. Enable this app and use your phone normally for a few minutes — you’ll see just how harmful throwing out all that cached data is and how much it will slow down your phone. Don’t actually use this option unless you want to see how bad it is! It will make your phone perform much more slowly — there’s a reason Google has hidden these options away from average users who might accidentally change them. Fake Your GPS Location The Allow mock locations option allows you to set fake GPS locations, tricking Android into thinking you’re at a location where you actually aren’t. Use this option along with an app like Fake GPS location and you can trick your Android device and the apps running on it into thinking you’re at locations where you actually aren’t. How would this be useful? Well, you could fake a GPS check-in at a location without actually going there or confuse your friends in a location-tracking app by seemingly teleporting around the world. Stay Awake While Charging You can use Android’s Daydream Mode to display certain apps while charging your device. If you want to force Android to display a standard Android app that hasn’t been designed for Daydream Mode, you can enable the Stay awake option here. Android will keep your device’s screen on while charging and won’t turn it off. It’s like Daydream Mode, but can support any app and allows users to interact with them. Show Always-On-Top CPU Usage You can view CPU usage data by toggling the Show CPU usage option to On. This information will appear on top of whatever app you’re using. If you’re a Linux user, the three numbers on top probably look familiar — they represent the system load average. From left to right, the numbers represent your system load over the last one, five, and fifteen minutes. This isn’t the kind of thing you’d want enabled most of the time, but it can save you from having to install third-party floating CPU apps if you want to see CPU usage information for some reason. Most of the other options here will only be useful to developers debugging their Android apps. You shouldn’t start changing options you don’t understand. If you want to undo any of these changes, you can quickly erase all your custom options by sliding the switch at the top of the screen to Off.     

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  • Unexpected advantage of Engineered Systems

    - by user12244672
    It's not surprising that Engineered Systems accelerate the debugging and resolution of customer issues. But what has surprised me is just how much faster issue resolution is with Engineered Systems such as SPARC SuperCluster. These are powerful, complex, systems used by customers wanting extreme database performance, app performance, and cost saving server consolidation. A SPARC SuperCluster consists or 2 or 4 powerful T4-4 compute nodes, 3 or 6 extreme performance Exadata Storage Cells, a ZFS Storage Appliance 7320 for general purpose storage, and ultra fast Infiniband switches.  Each with its own firmware. It runs Solaris 11, Solaris 10, 11gR2, LDoms virtualization, and Zones virtualization on the T4-4 compute nodes, a modified version of Solaris 11 in the ZFS Storage Appliance, a modified and highly tuned version of Oracle Linux running Exadata software on the Storage Cells, another Linux derivative in the Infiniband switches, etc. It has an Infiniband data network between the components, a 10Gb data network to the outside world, and a 1Gb management network. And customers can run whatever middleware and apps they want on it, clustered in whatever way they want. In one word, powerful.  In another, complex. The system is highly Engineered.  But it's designed to run general purpose applications. That is, the physical components, configuration, cabling, virtualization technologies, switches, firmware, Operating System versions, network protocols, tunables, etc. are all preset for optimum performance and robustness. That improves the customer experience as what the customer runs leverages our technical know-how and best practices and is what we've tested intensely within Oracle. It should also make debugging easier by fixing a large number of variables which would otherwise be in play if a customer or Systems Integrator had assembled such a complex system themselves from the constituent components.  For example, there's myriad network protocols which could be used with Infiniband.  Myriad ways the components could be interconnected, myriad tunable settings, etc. But what has really surprised me - and I've been working in this area for 15 years now - is just how much easier and faster Engineered Systems have made debugging and issue resolution. All those error opportunities for sub-optimal cabling, unusual network protocols, sub-optimal deployment of virtualization technologies, issues with 3rd party storage, issues with 3rd party multi-pathing products, etc., are simply taken out of the equation. All those error opportunities for making an issue unique to a particular set-up, the "why aren't we seeing this on any other system ?" type questions, the doubts, just go away when we or a customer discover an issue on an Engineered System. It enables a really honed response, getting to the root cause much, much faster than would otherwise be the case. Here's a couple of examples from the last month, one found in-house by my team, one found by a customer: Example 1: We found a node eviction issue running 11gR2 with Solaris 11 SRU 12 under extreme load on what we call our ExaLego test system (mimics an Exadata / SuperCluster 11gR2 Exadata Storage Cell set-up).  We quickly established that an enhancement in SRU12 enabled an 11gR2 process to query Infiniband's Subnet Manager, replacing a fallback mechanism it had used previously.  Under abnormally heavy load, the query could return results which were misinterpreted resulting in node eviction.  In several daily joint debugging sessions between the Solaris, Infiniband, and 11gR2 teams, the issue was fully root caused, evaluated, and a fix agreed upon.  That fix went back into all Solaris releases the following Monday.  From initial issue discovery to the fix being put back into all Solaris releases was just 10 days. Example 2: A customer reported sporadic performance degradation.  The reasons were unclear and the information sparse.  The SPARC SuperCluster Engineered Systems support teams which comprises both SPARC/Solaris and Database/Exadata experts worked to root cause the issue.  A number of contributing factors were discovered, including tunable parameters.  An intense collaborative investigation between the engineering teams identified the root cause to a CPU bound networking thread which was being starved of CPU cycles under extreme load.  Workarounds were identified.  Modifications have been put back into 11gR2 to alleviate the issue and a development project already underway within Solaris has been sped up to provide the final resolution on the Solaris side.  The fixed SPARC SuperCluster configuration greatly aided issue reproduction and dramatically sped up root cause analysis, allowing the correct workarounds and fixes to be identified, prioritized, and implemented.  The customer is now extremely happy with performance and robustness.  Since the configuration is common to other customers, the lessons learned are being proactively rolled out to other customers and incorporated into the installation procedures for future customers.  This effectively acts as a turbo-boost to performance and reliability for all SPARC SuperCluster customers.  If this had occurred in a "home grown" system of this complexity, I expect it would have taken at least 6 months to get to the bottom of the issue.  But because it was an Engineered System, known, understood, and qualified by both the Solaris and Database teams, we were able to collaborate closely to identify cause and effect and expedite a solution for the customer.  That is a key advantage of Engineered Systems which should not be underestimated.  Indeed, the initial issue mitigation on the Database side followed by final fix on the Solaris side, highlights the high degree of collaboration and excellent teamwork between the Oracle engineering teams.  It's a compelling advantage of the integrated Oracle Red Stack in general and Engineered Systems in particular.

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  • Understanding the 'High Performance' meaning in Extreme Transaction Processing

    - by kyap
    Despite my previous blogs entries on SOA/BPM and Identity Management, the domain where I'm the most passionated is definitely the Extreme Transaction Processing, commonly called XTP.I came across XTP back to 2007 while I was still FMW Product Manager in EMEA. At that time Oracle acquired a company called Tangosol, which owned an unique product called Coherence that we renamed to Oracle Coherence. Beside this innovative renaming of the product, to be honest, I didn't know much about it, except being a "distributed in-memory cache for Extreme Transaction Processing"... not very helpful still.In general when people doesn't fully understand a technology or a concept, they tend to find some shortcuts, either correct or not, to justify their lack-of understanding... and of course I was part of this category of individuals. And the shortcut was "Oracle Coherence Cache helps to improve Performance". Excellent marketing slogan... but not very meaningful still. By chance I was able to get away quickly from that group in July 2007* at Thames Valley Park (UK), after I attended one of the most interesting workshops, in my 10 years career in Oracle, delivered by Brian Oliver. The biggest mistake I made was to assume that performance improvement with Coherence was related to the response time. Which can be considered as legitimus at that time, because after-all caches help to reduce latency on cached data access, hence reduce the response-time. But like all caches, you need to define caching and expiration policies, thinking about the cache-missed strategy, and most of the time you have to re-write partially your application in order to work with the cache. At a result, the expected benefit vanishes... so, not very useful then?The key mistake I made was my perception or obsession on how performance improvement should be driven, but I strongly believe this is still a common problem to most of the developers. In fact we all know the that the performance of a system is generally presented by the Capacity (or Throughput), with the 2 important dimensions Speed (response-time) and Volume (load) :Capacity (TPS) = Volume (T) / Speed (S)To increase the Capacity, we can either reduce the Speed(in terms of response-time), or to increase the Volume. However we tend to only focus on reducing the Speed dimension, perhaps it is more concrete and tangible to measure, and nicer to present to our management because there's a direct impact onto the end-users experience. On the other hand, we assume the Volume can be addressed by the underlying hardware or software stack, so if we need more capacity (scale out), we just add more hardware or software. Unfortunately, the reality proves that IT is never as ideal as we assume...The challenge with Speed improvement approach is that it is generally difficult and costly to make things already fast... faster. And by adding Coherence will not necessarily help either. Even though we manage to do so, the Capacity can not increase forever because... the Speed can be influenced by the Volume. For all system, we always have a performance illustration as follow: In all traditional system, the increase of Volume (Transaction) will also increase the Speed (Response-Time) as some point. The reason is simple: most of the time the Application logics were not designed to scale. As an example, if you have a while-loop in your application, it is natural to conceive that parsing 200 entries will require double execution-time compared to 100 entries. If you need to "Speed-up" the execution, you can only upgrade your hardware (scale-up) with faster CPU and/or network to reduce network latency. It is technically limited and economically inefficient. And this is exactly where XTP and Coherence kick in. The primary objective of XTP is about designing applications which can scale-out for increasing the Volume, by applying coding techniques to keep the execution-time as constant as possible, independently of the number of runtime data being manipulated. It is actually not just about having an application running as fast as possible, but about having a much more predictable system, with constant response-time and linearly scale, so we can easily increase throughput by adding more hardwares in parallel. It is in general combined with the Low Latency Programming model, where we tried to optimize the network usage as much as possible, either from the programmatic angle (less network-hoops to complete a task), and/or from a hardware angle (faster network equipments). In this picture, Oracle Coherence can be considered as software-level XTP enabler, via the Distributed-Cache because it can guarantee: - Constant Data Objects access time, independently from the number of Objects and the Coherence Cluster size - Data Objects Distribution by Affinity for in-memory data grouping - In-place Data Processing for parallel executionTo summarize, Oracle Coherence is indeed useful to improve your application performance, just not in the way we commonly think. It's not about the Speed itself, but about the overall Capacity with Extreme Load while keeping consistant Speed. In the future I will keep adding new blog entries around this topic, with some sample codes experiences sharing that I capture in the last few years. In the meanwhile if you want to know more how Oracle Coherence, I strongly suggest you to start with checking how our worldwide customers are using Oracle Coherence first, then you can start playing with the product through our tutorial.Have Fun !

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  • Rendering WPF DrawingGroup to single ImageSource

    - by Xander
    Currently I'm using a System.Windows.Media.DrawingGroup to store some tiled images (ImageDrawing) inside the Children-DrawingCollection property. Well the problem is now, this method gets really slow if you display the entire DrawingGroup in an Image control, because my DrawingGroup can contain hundreds or even thousands of small images it can really mess up the performance. So my first thought was to somehow render a single image from all the small ones inside the DrawingGroup and then only display that image, that would be much faster. But as you might have figured out I haven't found any solution so simply combine several images with WPF Imaging. It would really be great if someone could help with this problem or tell me how i can improve the performance with the DrawingGroup or even use another approach. One last thing, currently I'm using a RenderTargetBitmap to generate a single BitmapSource from the DrawingGroup, this approach isn't really faster, but it makes the scrolling and working on the Image control at least a little smoother.

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  • LinkedHashMap vs HashMap != LinkedList vs ArrayList

    - by Markos Fragkakis
    I have read that LinkedHashMap has faster iteration speed than HashMap because its elements are doubly linked to each other. Additionally, because of this, LinkedHashMap is slower when inserting or deleting elements. Presumably because these links also need to be updated. Although I can see an analogy to LinkedList vs ArrayList, in that the elements of LinkedList are also doubly-linked, I read that it iterates slower than ArrayList, and has faster insertion and deletion times. Why is this? Perhaps I am making a mistake somewhere? Cheers1

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  • Is the switch to Dvorak worth it?

    - by Kevin Weil
    To those who were experienced ( 70 WPM, say) typists before the switch to Dvorak -- were you faster after switching? There are a couple good SO threads on Dvorak, but they are more on how to learn or reduction in typing pain than speed before/after. I know it will take me 1-2 months to feel comfortable, but I want to know if I should expect to be faster afterward. I am a programmer and type maybe 90-110 WPM on QWERTY. EDIT: I agree that coding is not typically IO-bound, and that a minimum typing speed is sufficient. This is half from curiosity, but it will be an undertaking to achieve QWERTY parity, so I want to know if I should at least expect some asymptotic improvement.

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  • Which coding style is more common?

    - by Babiker
    In no way shape or form am i advertising/promoting my programming style, but as far as 'multiple variable declarations' are concerned, which case is more acceptable professionally and commonly: case 1: private $databaseURL = "localhost" ; private $databaseUName = "root" ; private $databasePWord = "" ; private $databaseName = "AirAlliance"; case 2: private $databaseURL = "localhost"; private $databaseUName = "root"; private $databasePWord = ""; private $databaseName = "AirAlliance"; The reason i like case 1 is because i can skim though it and see that all is correct way faster than case 2. Also i can visually get familiar with variable names witch makes it faster to work with them l latter on the program.

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  • Experience using Yii framework for actual PHP project

    - by desireco
    I've been using Code Igniter for my PHP projects, when I start them from the beginning. It is very nice framework, saves me a lot of work and let me have low level access if I need to do something special. Code Igniter is also faster then similar frameworks by order of magnitude. I came across Yii framework which claims to be even faster and easier and prettier and whatever. I never heard of it and I was wondering if someone used it in some real life project and have practical experience that he is willing to share.

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  • When to use Shift operators << >> in C# ?

    - by Junior Mayhé
    I was studying shift operators in C#, trying to find out when to use them in my code. I found an answer but for Java, you could: a) Make faster integer multiplication and division operations: *4839534 * 4* can be done like this: 4839534 << 2 or 543894 / 2 can be done like this: 543894 1 Shift operations much more faster than multiplication for most of processors. b) Reassembling byte streams to int values c) For accelerating operations with graphics since Red, Green and Blue colors coded by separate bytes. d) Packing small numbers into one single long... For b, c and d I can't imagine here a real sample. Does anyone know if we can accomplish all these items in C#? Is there more practical use for shift operators in C#?

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  • javamail vs sendmail performance during bulk email

    - by Glenn2041
    Hi all, I'm writing a Java mass emailer application to send out emails to send between 50,000 to 100,000 a day to users. The current plan is to delegate the sending to delegate to sendmail (on the local unix server). From our testing sendmail is sending a maximum of 5 emails per second. Would JavaMail be a faster option? Does anyone know what a faster way to send emails. We want to get this process out as quick as possible. Edit: BTW, a pdf will be attached too

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  • Fastest distance lookup given latitude/longitude?

    - by Ryan Detzel
    I currently have just under a million locations in a mysql database all with longitude and latitude information. With this I use another lat/lng to find the distance of certain places in the database but it's not as fast as I want it to be especially with 100+ hits a second. Is there a faster formula or possibly a faster system other than mysql for this? The formula I'm using is this. select name, ( 3959 * acos( cos( radians(42.290763) ) * cos( radians( locations.lat ) ) * cos( radians( locations.lng ) - radians(-71.35368) ) + sin( radians(42.290763) ) * sin( radians( locations.lat ) ) ) ) AS distance from locations where active = 1 HAVING distance < 10 ORDER BY distance;

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  • How to optimize simple linked server select query?

    - by tomaszs
    Hello, I have a table called Table with columns: ID (int, primary key, clustered, unique index) TEXT (varchar 15) on a MSSQL linked server called LS. Linked server is on the same server computer. And: When I call: SELECT ID, TEXT FROM OPENQUERY(LS, 'SELECT ID, TEXT FROM Table') It takes 400 ms. When I call: SELECT ID, TEXT FROM LS.dbo.Table It takes 200 ms And when I call the query directly while being at LS server: SELECT ID, TEXT FROM dbo.Table It takes 100 ms. In many places i've read that OPENQUERY is faster, but in this simple case it does not seem to work. What can I do to make this query faster when I call it from another server, not LS directly?

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  • Performance of std::pow - cache misses???

    - by Eamon Nerbonne
    I've been trying to optimize a numeric program of mine, and have run into something of a mystery. I'm looping over code that performs thousands of floating point operations, and just 1 call to pow nevertheless, that call takes 5% of the time... That's not necessarily a critical issue, but it is odd, so I'd like to understand what's happening. When I profiled for cache misses, VS.NET 2010RC's profiler reports that virtually all cache misses are occurring in std::pow... so... what's up with that? Is there a faster alternative? I tried powf, but that's only slightly faster; it's still responsible for an abnormal number of cache misses. Why would a basic function like pow cause cache-misses?

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  • Objective C message dispatch mechanism

    - by Dolphin
    I am just staring to play around with Objective C (writing toy iPhone apps) and I am curious about the underlying mechanism used to dispatch messages. I have a good understanding of how virtual functions in C++ are generally implemented and what the costs are relative to a static or non-virtual method call, but I don't have any background with Obj-C to know how messages are sent. Browsing around I found this loose benchmark and it mentions IMP cached messages being faster than virtual function calls, which are in turn faster than a standard message send. I am not trying to optimize anything, just get deeper understanding of how exactly the messages get dispatched. How are Obj-C messages dispatched? How do Instance Method Pointers get cached and can you (in general) tell by reading the code if a message will get cached? Are class methods essentially the same as a C function (or static class method in C++), or is there something more to them? I know some of these questions may be 'implementation dependent' but there is only one implementation that really counts.

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  • Asynchronous readback from opengl front buffer using multiple PBO's

    - by KillianDS
    I am developing an application that needs to read back the whole frame from the front buffer of an openGL application. I can hijack the application's opengl library and insert my code on swapbuffers. At the moment I am successfully using a simple but excruciating slow glReadPixels command without PBO's. Now I read about using multiple PBO's to speed things up. While I think I've found enough resources to actually program that (isn't that hard), I have some operational questions left. I would do something like this: create a series (e.g. 3) of PBO's use glReadPixels in my swapBuffers override to read data from front buffer to a PBO (should be fast and non-blocking, right?) Create a seperate thread to call glMapBufferARB, once per PBO after a glReadPixels, because this will block until the pixels are in client memory. Process the data from step 3. Now my main concern is of course in steps 2 and 3. I read about glReadPixels used on PBO's being non-blocking, will this be an issue if I issue new opengl commands after that very fast? Will those opengl commands block? Or will they continue (my guess), and if so, I guess only swapbuffers can be a problem, will this one stall or will glReadPixels from front buffer be many times faster than swapping (about each 15-30ms) or, worst case scenario, will swapbuffers be executed while glReadPixels is still reading data to the PBO? My current guess is this logic will do something like this: copy FRONT_BUFFER - generic place in VRAM, copy VRAM-RAM. But I have no idea which of those 2 is the real bottleneck and more, what the influence on the normal opengl command stream is. Then in step 3. Is it wise to do this asynchronously in a thread separated from normal opengl logic? At the moment I think not, It seems you have to restore buffer operations to normal after doing this and I can't install synchronization objects in the original code to temporarily block those. So I think my best option is to define a certain swapbuffer delay before reading them out, so e.g. calling glReadPixels on PBO i%3 and glMapBufferARB on PBO (i+2)%3 in the same thread, resulting in a delay of 2 frames. Also, when I call glMapBufferARB to use data in client memory, will this be the bottleneck or will glReadPixels (asynchronously) be the bottleneck? And finally, if you have some better ideas to speed up frame readback from GPU in opengl, please tell me, because this is a painful bottleneck in my current system. I hope my question is clear enough, I know the answer will probably also be somewhere on the internet but I mostly came up with results that used PBO's to keep buffers in video memory and do processing there. I really need to read back the front buffer to RAM and I do not find any clear explanations about performance in that case (which I need, I cannot rely on "it's faster", I need to explain why it's faster). Thank you

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  • SQL Server, temporary tables with truncate vs table variable with delete

    - by Richard
    I have a stored procedure inside which I create a temporary table that typically contains between 1 and 10 rows. This table is truncated and filled many times during the stored procedure. It is truncated as this is faster than delete. Do I get any performance increase by replacing this temporary table with a table variable when I suffer a penalty for using delete (truncate does not work on table variables) Whilst table variables are mainly in memory and are generally faster than temp tables do I loose any benefit by having to delete rather than truncate?

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  • Handler invocation speed: Objective-C vs virtual functions

    - by Kerido
    I heard that calling a handler (delegate, etc.) in Objective-C can be even faster than calling a virtual function in C++. Is it really correct? If so, how can that be? AFAIK, virtual functions are not that slow to call. At least, this is my understanding of what happens when a virtual function is called: Compute the index of the function pointer location in vtbl. Obtain the pointer to vtbl. Dereference the pointer and obtain the beginning of the array of function pointers. Offset (in pointer scale) the beginning of the array with the index value obtained on step 1. Issue a call instruction. Unfortunately, I don't know Objective-C so it's hard for me to compare performance. But at least, the mechanism of a virtual function call doesn't look that slow, right? How can something other than static function call be faster?

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  • Python if statement efficiency

    - by Dennis
    A friend (fellow low skill level recreational python scripter) asked me to look over some code. I noticed that he had 7 separate statements that basically said. if ( a and b and c): do something the statements a,b,c all tested their equality or lack of to set values. As I looked at it I found that because of the nature of the tests, I could re-write the whole logic block into 2 branches that never went more than 3 deep and rarely got past the first level (making the most rare occurrence test out first). if a: if b: if c: else: if c: else: if b: if c: else: if c: To me, logically it seems like it should be faster if you are making less, simpler tests that fail faster and move on. My real questions are 1) When I say if and else, should the if be true, does the else get completely ignored? 2) In theory would if (a and b and c) take as much time as the three separate if statements would?

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  • Webservice or WCF for compactframework.

    - by Tan
    Hi iam making a Windows mobile application thats connects to an WCF service with basic httpbinding. The mobile device talks directly to the WCF service by tcp. But the performace is really slow. So i tried to switch the mobile device talking to a Webservice (ASMX) then the webservice talks to WCF service. The respone and performace is much faster. Why is it so. Isnt WCF suppose to be faster and have greater performance then the old webservice. please advice and help.

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