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  • Oracle Enterprise Manager 12c Delivers Advanced Self-Service Automation for Oracle Database 12c Multitenant

    - by Javier Puerta
    Broadens Support for Managing Full Lifecycle of New Pluggable Database as a Service Redwood Shores, Calif. – November 4, 2013 News Summary Database as a Service (DBaaS) offers organizations accelerated deployment, elastic capacity, greater consolidation efficiency, higher availability and lower overall operational cost and complexity. Oracle Database 12c provides an innovative multitenant architecture featuring pluggable databases that makes it easy to offer DBaaS and consolidate databases on clouds. To support customers’ move to this model, Oracle Enterprise Manager 12c adds new automation capabilities to enable quick provisioning of database clouds through self-service, saving administrators time and effort. These new capabilities can help customers adopt Oracle Database 12c faster and pave the way to a DBaaS delivery model. News Facts Oracle today announced a new release of Oracle Enterprise Manager 12c, which provides a turnkey, full lifecycle DBaaS management solution for Oracle Multitenant, an option for Oracle Database 12c Enterprise Edition. Read full press release here

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  • Oracle Enterprise Manager 12c Delivers Advanced Self-Service Automation for Oracle Database 12c Multitenant

    - by Javier Puerta
    Broadens Support for Managing Full Lifecycle of New Pluggable Database as a Service Redwood Shores, Calif. – November 4, 2013 News Summary Database as a Service (DBaaS) offers organizations accelerated deployment, elastic capacity, greater consolidation efficiency, higher availability and lower overall operational cost and complexity. Oracle Database 12c provides an innovative multitenant architecture featuring pluggable databases that makes it easy to offer DBaaS and consolidate databases on clouds. To support customers’ move to this model, Oracle Enterprise Manager 12c adds new automation capabilities to enable quick provisioning of database clouds through self-service, saving administrators time and effort. These new capabilities can help customers adopt Oracle Database 12c faster and pave the way to a DBaaS delivery model. News Facts Oracle today announced a new release of Oracle Enterprise Manager 12c, which provides a turnkey, full lifecycle DBaaS management solution for Oracle Multitenant, an option for Oracle Database 12c Enterprise Edition. Read full press release here

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  • What's the future of online gamedev. FLASH or UNITY?

    - by Cpucpu
    Currently, i develop for flash, not much ago i discovered unity, not yet played with it, but i have seen so far was cool. Here are my thoughts: Flash is more casual, start with cost less, in time and money. In unity you'd likely have to go more bussines-serious (real money). There are proven bussines models in flash, like adver-gaming, ads, micro-transactions. Have not seen much movement in this in Unity, too soon maybe. Flash is too heavy. By its nature(making games) Unity is way faster. Flash is 2d, doing something 3d with it turns weird and slow. Unity is natively 3d, not optimized for 2d though, it is likely feasible as well. I am overlooking the plug-in widespread, that gap will get closed over the time.

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  • Prewritten App for Used Car Dealer?

    - by Shawn Eary
    Is there somewhere I can find a prewritten WebApp (with database) for a used car dealer? The application would need to support the following: Easy setup in a low cost Shared or Cloud Host Give potential customers easy way to browse current inventory (cars on lot) with suggested prices Give dealership easy way to login and update inventory (cars on lot) and suggested prices Give potential customers easy way to send the dealership an inquiry about a specific vehicle on the lot with CAPTCHA style SPAM protection I prefer ASP.NET MVC and Microsoft SQL Server, but I might consider other technologies such as WebForms and LightSwitch (HTML5). I am reasonably comfortable with MVC and WebForms, but I really don't want to waste a bunch of time writing an application that might already exist. I did find a few interesting templates via Bing that seem to control CSS and Layout, but I'm not sure if they contain any business logic or if they would integrate well into an MVC App.

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  • Why should we use low level languages if a high level one like python can do almost everything? [closed]

    - by killown
    I know python is not suitable for things like microcontrolers, make drivers etc, but besides that, you can do everything using python, companys get stuck with speed optimizations for real hard time system but does forget other factors which one you can just upgrade your hardware for speed proposes in order to get your python program fit in it, if you think how much cust can the company have to maintain a system written in C, the comparison is like that: for example: 10 programmers to mantain a system written in c and just one programmer to mantain a system written in python, with python you can buy some better hardware to fit your python program, I think that low level languages tend to get more cost, since programmers aren't so cheaply than a hardware upgrade, then, this is my point, why should a system be written in c instead of python?

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  • Client Side Form Validation vs. Server Side Form Validation

    In my opinion, it is mandatory to validate data using client side and server side validation as a fail over process. The client side validation allows users to correct any error before they are sent to the web server for processing, and this allows for an immediate response back to the user regarding data that is not correct or in the proper format that is desired. In addition, this prevents unnecessary interaction between the user and the web server and will free up the server over time compared to doing only server side validation. Server validation is the last line of defense when it comes to validation because you can check to ensure the user’s data is correct before it is used in a business process or stored to a database. Honestly, I cannot foresee a scenario where I would only want to use one form of validation over another especially with the current cost of creating and maintaining data. In my opinion, the redundant validation is well worth the overhead.

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  • Free Domain hosting configurations and transfer

    - by upog
    I have registered a new domain name with GODaddy.com now i would like to host my domain for free. Assume the app is a basic HTML page.I have done some search and decided to host it under google app engine I am looking answers for few question currently my domain name is managed by GODaddy, how can i transfer it to Google app engine, so that going forward it will be managed by Google How can i configure the new domain in Google app engine and associate with my domain name Is there any indirect cost involved in domain hosting service hosted by Google app engine Any suggestion for free and reliable hosting is also welcomed Update Can i host free web page in cloud.google.com ?

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  • Save the Date for the Oracle Storage Community Forum at Oracle OpenWorld

    - by Ritu Chhibber-Oracle
    Dear Partners, Come and meet Oracle's Top Storage Executives, Architects and Fellow Customers & Partners at the Oracle Storage Community Forum at Oracle OpenWorld on October 1, 2014. This special event will feature interactive sessions on Oracle's Application Engineered Storage strategy, product directions, and real-world customer implementations. Discover the possibilities, as only Oracle can co-engineer hardware with Oracle Database and applications to deliver extreme performance, dynamic automation, management efficiency and cost savings. Storage Forum at Oracle OpenWorld Wednesday, October 1, 20143:30 p.m. - 5:00 p.m. Forum5:00 p.m. - 6:00 p.m. Reception Venue:Metreon – City View135 Fourth Street, Suite 4000,San Francisco, CA 94103 For more details and to register, please click here.

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  • Selling On Demand

    - by andrea.mulder
    In May 2010, eSilicon management began evaluating providers for a new CRM system - vetting a variety of CRM offerings. Using a rating system that scored vendors according to marketing, sales, services, features, usability, implementation time, and cost, the team chose Oracle CRM On Demand for the project. "Overall, Oracle CRM On Demand was the best system that was able to address all our pain points," says Janet Ang, senior applications developer and project manager of the CRM implementation at eSilicon. Read Selling On Demand, a feature article in the February 2011 issue of Profit Magazine, and find out how eSilicon achieved:Easy Implementation and Adoption Sales and Management Benefits High Productivity for Tech

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  • How to deal with ad-hoc mindsets?

    - by Rotian
    I joined a dev team of six two month ago. People are nice, all is good. But more and more I observe an ad-hoc mindset. Stuff gets quick fixed, at the cost of future usability, there is little testing and two people happily admitted, that they like to carry the knowledge around in their head, rather than to write it down. How to deal with this? I'd like to lead by example, but time is limited - I like architecting and actually implementing the stuff. But I'm afraid the ad-hoc mindset infects me and rather than striving for clearness and simplicity in design and code - which isn't simple to establish - I get pulled down the drain of an endless spiral of hacks on hacks - which no outsider can uncouple - just for schedule's and management's sake.

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  • Is there any existing (old) game that released graphic as free or open source?

    - by Alexey Petrushin
    I'd like to (re)create an online version (html5/JS) of some old game, for example something like HoM&M 2. Maybe, some of old games were released as free or open source (I'm interested in the graphical assets only)? I heard something about Red Alert been released as free, but I'm not sure if it's permitted to reuse graphical assets in such manner. Do You know such games? Another question - can You please share Your thoughts, rough estimate - how much it will cost to pay an artist to create graphics similar to HoM&M 2?

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  • How to Save Hundreds or Thousands of Dollars on Cell Phone Service

    - by Chris Hoffman
    Cell phone contracts are bad. You get a seemingly cheap phone up front, but you more than pay for the cost of the phone over two years. Prepaid phone plans are surging in North America for a reason. Prepaid phone plans will be cheaper and more flexible than traditional contracts with big carriers for many people. However much you use your phone, there’s a good chance you can save money with a prepaid service. No More Contracts Here’s how cell phone service typically works in North America: You get a subsidized phone for “free”, $99, or $199. You sign up for a two-year contract and more than pay back the cost of that phone over the length of the contract. This is similar to leasing something or purchasing it on a credit card and paying it back over two years — you spend less up front, but you’re paying more in the long run. But this isn’t the only option. You could opt for a cheaper prepaid service that doesn’t lock you into a contract. If you don’t use your phone much, you could just pay for what you use and avoid the hefty cell phone bills. If you use your phone a lot, you could get a cheaper plan, too. Now, this certainly isn’t for everyone. If you want the latest iPhone or Galaxy smartphone every two years and require a 4G data connection, prepaid services may not be for you. On the other hand, if you don’t need the latest phone, you can save money here. You can also save a huge amount of money if you don’t use your phone much. Phone Options When you choose your prepaid or contract-free service, you’ll often be able to purchase a phone from them. You’ll generally be able to find dirt-cheap dumbphones and the cheapest, slowest Android phones for not very much money. If you are able to buy a top-of-the-line smartphone, you’ll have to pay the full, unsubsidized price. That’s $649 for either an iPhone 5S or Samsung Galaxy S4. Whatever phones the service provider offers, you could always buy a phone elsewhere — for example, you could buy an unsubsidized iPhone direct from Apple and then take it to your cell phone service of choice. Most services will allow you to get a SIM card and pop it into your existing phone rather than purchasing a phone. If you can get a hand-me-down smartphone, you can often save quite a bit of money. For example, you may have a family member upgrading from an iPhone 4S to an iPhone 5S. You could take their phone to a prepaid carrier and have a nicer phone on a cheap cell phone plan. If you brought an old smartphone to a big carrier like AT&T or Verizon, they wouldn’t give you a discount on your monthly plan. You’d have to pay the same amount of money every month as if you had gotten a subsidized phone. Google’s Nexus phones are also great options for people looking to buy smartphones and pay up-front. Google’s Nexus 4 offered a modern, almost top-of-the-line Android smartphone experience at $299 or $349 when it came out last year. Google will soon be releasing the Nexus 5 and it’s expected to be priced at $349. That’s certainly a lot more than a cheap phone, but it’s a fairly high-end smartphone at almost half the price of an iPhone 5S or Galaxy S4. Nexus phones can be purchased online from Google’s Play Store. Service Options When choosing a service, you need to consider what you actually use. If you’re someone who only uses your phone rarely, you can get plans that will allow you to pay as little as a few dollars per month. If you’re someone who’s usually in range of Wi-Fi, you may not need much data at all. If you want a plan with unlimited talk, texting, and data usage, you can get it for much cheaper than you’d pay on a major carrier like AT&T. The options here range from pay-as-you-go plans, like the ones offered by T-Mobile, which allow you to put a certain amount of money in and only drain that balance when you actually use minutes, texts, or data. If you only make a few calls and send a few texts per month, you’d only pay a few bucks. On the other end, Walmart’s Straight Talk service is a popular option that offers unlimited talk, texting, and data at $45 per month. Which service is right for you depends on a lot of things, including your usage and what each network’s coverage is like in your area. You’ll want to do some research of your own before choosing a service. Prepaid services also offer you even more flexibility after you choose one. If you’re not happy or a better deal comes along, you can switch — you’re not locked into your service for two years and you won’t pay an early termination fee. Image Credit: Intel Free Press on Flickr, Jon Fingas on Flickr, John Karakatsanis on Flickr, kendalkinggroup on Flickr     

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  • OOW Session: Trends in Identity Management

    - by B Shashikumar
    In his Identity Management address today, Amit Jasuja - VP of Oracle Identity Management and Security Products, will discuss several key identity management trends and showcase how innovation is the key driver behind Oracle’s latest Identity Management 11gR2 release. This session will focus on how the latest 11gR2 release of Oracle Identity Management addresses emerging identity management requirements for mobile, social, and cloud computing. It also explores how existing Oracle Identity Management customers are simplifying implementations and reducing total cost of ownership. When: Monday, October 1, at 10:45 a.m., Where: Moscone West L3, room 3003, (session ID# CON9405) For a complete listing of all identity management sessions, hands-on labs, and more, check out the Focus on Identity Management now. 

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  • How to Achieve Real-Time Data Protection and Availabilty....For Real

    - by JoeMeeks
    There is a class of business and mission critical applications where downtime or data loss have substantial negative impact on revenue, customer service, reputation, cost, etc. Because the Oracle Database is used extensively to provide reliable performance and availability for this class of application, it also provides an integrated set of capabilities for real-time data protection and availability. Active Data Guard, depicted in the figure below, is the cornerstone for accomplishing these objectives because it provides the absolute best real-time data protection and availability for the Oracle Database. This is a bold statement, but it is supported by the facts. It isn’t so much that alternative solutions are bad, it’s just that their architectures prevent them from achieving the same levels of data protection, availability, simplicity, and asset utilization provided by Active Data Guard. Let’s explore further. Backups are the most popular method used to protect data and are an essential best practice for every database. Not surprisingly, Oracle Recovery Manager (RMAN) is one of the most commonly used features of the Oracle Database. But comparing Active Data Guard to backups is like comparing apples to motorcycles. Active Data Guard uses a hot (open read-only), synchronized copy of the production database to provide real-time data protection and HA. In contrast, a restore from backup takes time and often has many moving parts - people, processes, software and systems – that can create a level of uncertainty during an outage that critical applications can’t afford. This is why backups play a secondary role for your most critical databases by complementing real-time solutions that can provide both data protection and availability. Before Data Guard, enterprises used storage remote-mirroring for real-time data protection and availability. Remote-mirroring is a sophisticated storage technology promoted as a generic infrastructure solution that makes a simple promise – whatever is written to a primary volume will also be written to the mirrored volume at a remote site. Keeping this promise is also what causes data loss and downtime when the data written to primary volumes is corrupt – the same corruption is faithfully mirrored to the remote volume making both copies unusable. This happens because remote-mirroring is a generic process. It has no  intrinsic knowledge of Oracle data structures to enable advanced protection, nor can it perform independent Oracle validation BEFORE changes are applied to the remote copy. There is also nothing to prevent human error (e.g. a storage admin accidentally deleting critical files) from also impacting the remote mirrored copy. Remote-mirroring tricks users by creating a false impression that there are two separate copies of the Oracle Database. In truth; while remote-mirroring maintains two copies of the data on different volumes, both are part of a single closely coupled system. Not only will remote-mirroring propagate corruptions and administrative errors, but the changes applied to the mirrored volume are a result of the same Oracle code path that applied the change to the source volume. There is no isolation, either from a storage mirroring perspective or from an Oracle software perspective.  Bottom line, storage remote-mirroring lacks both the smarts and isolation level necessary to provide true data protection. Active Data Guard offers much more than storage remote-mirroring when your objective is protecting your enterprise from downtime and data loss. Like remote-mirroring, an Active Data Guard replica is an exact block for block copy of the primary. Unlike remote-mirroring, an Active Data Guard replica is NOT a tightly coupled copy of the source volumes - it is a completely independent Oracle Database. Active Data Guard’s inherent knowledge of Oracle data block and redo structures enables a separate Oracle Database using a different Oracle code path than the primary to use the full complement of Oracle data validation methods before changes are applied to the synchronized copy. These include: physical check sum, logical intra-block checking, lost write validation, and automatic block repair. The figure below illustrates the stark difference between the knowledge that remote-mirroring can discern from an Oracle data block and what Active Data Guard can discern. An Active Data Guard standby also provides a range of additional services enabled by the fact that it is a running Oracle Database - not just a mirrored copy of data files. An Active Data Guard standby database can be open read-only while it is synchronizing with the primary. This enables read-only workloads to be offloaded from the primary system and run on the active standby - boosting performance by utilizing all assets. An Active Data Guard standby can also be used to implement many types of system and database maintenance in rolling fashion. Maintenance and upgrades are first implemented on the standby while production runs unaffected at the primary. After the primary and standby are synchronized and all changes have been validated, the production workload is quickly switched to the standby. The only downtime is the time required for user connections to transfer from one system to the next. These capabilities further expand the expectations of availability offered by a data protection solution beyond what is possible to do using storage remote-mirroring. So don’t be fooled by appearances.  Storage remote-mirroring and Active Data Guard replication may look similar on the surface - but the devil is in the details. Only Active Data Guard has the smarts, the isolation, and the simplicity, to provide the best data protection and availability for the Oracle Database. Stay tuned for future blog posts that dive into the many differences between storage remote-mirroring and Active Data Guard along the dimensions of data protection, data availability, cost, asset utilization and return on investment. For additional information on Active Data Guard, see: Active Data Guard Technical White Paper Active Data Guard vs Storage Remote-Mirroring Active Data Guard Home Page on the Oracle Technology Network

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  • The Arab HEUG is now a reality, and other random thoughts

    - by user9147039
    I just returned from Doha, Qatar where the first of its kind HEUG (Higher Education User Group) meeting for institutions in the Middle East and North Africa was held at Qatar University and jointly hosted by Damman University from Saudi Arabia. Over 80 delegates attended including representation from education institutions in Oman, Saudi Arabia, Lebanon, and Qatar. There are many other regional HEUG organizations in place (in Australia/New Zealand, APAC, EMEA, as well as smaller regional HEUG’s in the Netherlands, South Africa, and in regions of the US), but it was truly an accomplishment to see this Middle East/North Africa group organize and launch their chapter with a meeting of this quality. To be known as the Arab HEUG going forward, I am excited about the prospects for sharing between the institutions and for the growth of Oracle solutions in the region. In particular the hosts for the event (Qatar University) did a masterful job with logistics and organization, and the quality of the event was a testament to their capabilities. Among the more interesting and enlightening presentations I attended were one from Dammam University on the lessons learned from their implementation of Campus Solutions and transition off of Banner, as well as the use by Qatar University E-business Suite for grants management (both pre-and post-award). The most notable fact coming from this latter presentation was the fit (89%) of e-Business Suite Grants to the university’s requirements. In a few weeks time we will be convening the 5th meeting of the Oracle Education & Research Industry Strategy Council in Redwood Shores (5th since my advent into my current role). The main topics of discussion will be around our Higher Education Applications Strategy for the future (including cloud approaches to ERP (HCM, Finance, and Student Information Systems), how some cases studies on the benefits of leveraging delivered functionality and extensibility in the software (versus customization). On the second day of the event we will turn our attention to Oracle in Research and also budgeting and planning in higher education. Both of these sessions will include significant participation from council members in the form of panel discussions. Our EVP’s for Systems (John Fowler) and for Global Cloud Services and North America application sales (Joanne Olson) will join us for the discussion. I recently read a couple of articles that were surprising to me. The first was from Inside Higher Ed on October 15 entitled, “As colleges prepare for major software upgrades, Kuali tries to woo them from corporate vendors.” It continues to disappointment that after all this time we are still debating whether it is better to build enterprise software through open or community source initiatives when fully functional, flexible, supported, and widely adopted options exist in the marketplace. Over a decade or more ago when these solutions were relatively immature and there was a great deal of turnover in the market I could appreciate the initiatives like Kuali. But let’s not kid ourselves – the real objective of this movement is to counter a perceived predatory commercial software industry. Again, when commercial solutions are deployed as written without significant customization, and standard business processes are adopted, the cost of these solutions (relative to the value delivered) is quite low, and certain much lower than the massive investment (and risk) in in-house developers to support a bespoke community source system. In this era of cost pressures in education and the need to refocus resources on teaching, learning, and research, I believe it’s bordering on irresponsible to continue to pursue open-source ERP. Many of the adopter’s total costs are staggering and have little to show for their efforts and expended resources. The second article was recently in the Chronicle of Higher Education and was entitled “’Big Data’ Is Bunk, Obama Campaign’s Tech Guru Tells University Leaders.” This one was so outrageous I almost don’t want to legitimize it by referencing it here. In the article the writer relays statements made by Harper Reed, President Obama’s former CTO for his 2012 re-election campaign, that big data solutions in education have no relevance and are akin to snake oil. He goes on to state that while he’s a fan of data-driven decision making in education, most of the necessary analysis can be accomplished in Excel spreadsheets. Yeah… right. This is exactly what ails education (higher education in particular). Dozens of shadow and siloed systems running on spreadsheets with limited-to-no enterprise wide initiatives to harness the data-rich environment that is a higher ed institution and transform the data into useable information. I’ll grant Mr. Reed that “Big Data” is overused and hackneyed, but imperatives like improving student success in higher education are classic big data problems that data-mining and predictive analytics can address. Further, higher ed need to be producing a massive amount more data scientists and analysts than are currently in the pipeline, to further this discipline and application of these tools to many many other problems across multiple industries.

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  • External File Upload Optimizations for Windows Azure

    - by rgillen
    [Cross posted from here: http://rob.gillenfamily.net/post/External-File-Upload-Optimizations-for-Windows-Azure.aspx] I’m wrapping up a bit of the work we’ve been doing on data movement optimizations for cloud computing and the latest set of data yielded some interesting points I thought I’d share. The work done here is not really rocket science but may, in some ways, be slightly counter-intuitive and therefore seemed worthy of posting. Summary: for those who don’t like to read detailed posts or don’t have time, the synopsis is that if you are uploading data to Azure, block your data (even down to 1MB) and upload in parallel. Set your block size based on your source file size, but if you must choose a fixed value, use 1MB. Following the above will result in significant performance gains… upwards of 10x-24x and a reduction in overall file transfer time of upwards of 90% (eg, uploading a 1GB file averaged 46.37 minutes prior to optimizations and averaged 1.86 minutes afterwards). Detail: For those of you who want more detail, or think that the claims at the end of the preceding paragraph are over-reaching, what follows is information and code supporting these claims. As the title would indicate, these tests were run from our research facility pointing to the Azure cloud (specifically US North Central as it is physically closest to us) and do not represent intra-cloud results… we have performed intra-cloud tests and the overall results are similar in notion but the data rates are significantly different as well as the tipping points for the various block sizes… this will be detailed separately). We started by building a very simple console application that would loop through a directory and upload each file to Azure storage. This application used the shipping storage client library from the 1.1 version of the azure tools. The only real variation from the client library is that we added code to collect and record the duration (in ms) and size (in bytes) for each file transferred. The code is available here. We then created a directory that had a collection of files for the following sizes: 2KB, 32KB, 64KB, 128KB, 512KB, 1MB, 5MB, 10MB, 25MB, 50MB, 100MB, 250MB, 500MB, 750MB, and 1GB (50 files for each size listed). These files contained randomly-generated binary data and do not benefit from compression (a separate discussion topic). Our file generation tool is available here. The baseline was established by running the application described above against the directory containing all of the data files. This application uploads the files in a random order so as to avoid transferring all of the files of a given size sequentially and thereby spreading the affects of periodic Internet delays across the collection of results.  We then ran some scripts to split the resulting data and generate some reports. The raw data collected for our non-optimized tests is available via the links in the Related Resources section at the bottom of this post. For each file size, we calculated the average upload time (and standard deviation) and the average transfer rate (and standard deviation). As you likely are aware, transferring data across the Internet is susceptible to many transient delays which can cause anomalies in the resulting data. It is for this reason that we randomized the order of source file processing as well as executed the tests 50x for each file size. We expect that these steps will yield a sufficiently balanced set of results. Once the baseline was collected and analyzed, we updated the test harness application with some methods to split the source file into user-defined block sizes and then to upload those blocks in parallel (using the PutBlock() method of Azure storage). The parallelization was handled by simply relying on the Parallel Extensions to .NET to provide a Parallel.For loop (see linked source for specific implementation details in Program.cs, line 173 and following… less than 100 lines total). Once all of the blocks were uploaded, we called PutBlockList() to assemble/commit the file in Azure storage. For each block transferred, the MD5 was calculated and sent ensuring that the bits that arrived matched was was intended. The timer for the blocked/parallelized transfer method wraps the entire process (source file splitting, block transfer, MD5 validation, file committal). A diagram of the process is as follows: We then tested the affects of blocking & parallelizing the transfers by running the updated application against the same source set and did a parameter sweep on the block size including 256KB, 512KB, 1MB, 2MB, and 4MB (our assumption was that anything lower than 256KB wasn’t worth the trouble and 4MB is the maximum size of a block supported by Azure). The raw data for the parallel tests is available via the links in the Related Resources section at the bottom of this post. This data was processed and then compared against the single-threaded / non-optimized transfer numbers and the results were encouraging. The Excel version of the results is available here. Two semi-obvious points need to be made prior to reviewing the data. The first is that if the block size is larger than the source file size you will end up with a “negative optimization” due to the overhead of attempting to block and parallelize. The second is that as the files get smaller, the clock-time cost of blocking and parallelizing (overhead) is more apparent and can tend towards negative optimizations. For this reason (and is supported in the raw data provided in the linked worksheet) the charts and dialog below ignore source file sizes less than 1MB. (click chart for full size image) The chart above illustrates some interesting points about the results: When the block size is smaller than the source file, performance increases but as the block size approaches and then passes the source file size, you see decreasing benefit to the point of negative gains (see the values for the 1MB file size) For some of the moderately-sized source files, small blocks (256KB) are best As the size of the source file gets larger (see values for 50MB and up), the smallest block size is not the most efficient (presumably due, at least in part, to the increased number of blocks, increased number of individual transfer requests, and reassembly/committal costs). Once you pass the 250MB source file size, the difference in rate for 1MB to 4MB blocks is more-or-less constant The 1MB block size gives the best average improvement (~16x) but the optimal approach would be to vary the block size based on the size of the source file.    (click chart for full size image) The above is another view of the same data as the prior chart just with the axis changed (x-axis represents file size and plotted data shows improvement by block size). It again highlights the fact that the 1MB block size is probably the best overall size but highlights the benefits of some of the other block sizes at different source file sizes. This last chart shows the change in total duration of the file uploads based on different block sizes for the source file sizes. Nothing really new here other than this view of the data highlights the negative affects of poorly choosing a block size for smaller files.   Summary What we have found so far is that blocking your file uploads and uploading them in parallel results in significant performance improvements. Further, utilizing extension methods and the Task Parallel Library (.NET 4.0) make short work of altering the shipping client library to provide this functionality while minimizing the amount of change to existing applications that might be using the client library for other interactions.   Related Resources Source code for upload test application Source code for random file generator ODatas feed of raw data from non-optimized transfer tests Experiment Metadata Experiment Datasets 2KB Uploads 32KB Uploads 64KB Uploads 128KB Uploads 256KB Uploads 512KB Uploads 1MB Uploads 5MB Uploads 10MB Uploads 25MB Uploads 50MB Uploads 100MB Uploads 250MB Uploads 500MB Uploads 750MB Uploads 1GB Uploads Raw Data OData feeds of raw data from blocked/parallelized transfer tests Experiment Metadata Experiment Datasets Raw Data 256KB Blocks 512KB Blocks 1MB Blocks 2MB Blocks 4MB Blocks Excel worksheet showing summarizations and comparisons

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  • Which of the following relational database management systems would a company adopt (for migration), if any, MS Access, MS SQL Server or MySQL?

    - by Hassan Hagi
    Dear programmers, as part of my final year university project, I am conducting research into relational database management systems such as Microsoft Office Access 2007, Microsoft SQL Server 2008 and MySQL 5.1. The description does not need to be detailed however; I am trying to find empirical evidence and professional opinion/fact to determine which of the three databases are best suited for the required size of company (stated or unstated). OS: Microsoft windows (XP or newer) Please consider the following, but full details are not necessary: Memory management Migration Design constraints Integrity (data and others) Triggers User constraints Ease of use Performance Crash Recovery (not the operating system) Total Cost of Ownership (TCO) Also any info on Open source (to do with the three RDBMS) Thank you for your time and help. Hassan Hagi

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  • I would like to know what kind of tools I should be looking for web development.

    - by user646636
    I would like to know what kind of tools I should be looking for web development. I have learned the basics of HTML/CSS/PHP/JS/phpmyadmin Now, I was looking to a write a website for purchasing and selling products for clients and sellers. I was wondering what other languages I would need to learn and also what kinda development tools I should use. Also, what would be the best type of language to write a website like this. I have heard that I should be using python for this type of web development. Do you guys have any suggestion as to what I should be looking at? And Also I would like to know if I should be setting up my own database or should I be using something like MySQL. I'm looking for languages that would have low maintenance cost in the long run. Thanks

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  • What are the most common AI systems implemented in Tower Defense Games

    - by the_Dan
    I'm currently in the middle of researching on the various types of AI techniques used in tower defense type games. If someone could be help me in understanding the different types of techniques and their associated advantages. Using Google I already found several techniques. Random Map traversal Path finding e.g. Cost based Traversing Algorithms i.e. A* I have already found a great answer to this type of question with the below link, but I feel that this answer is tailored to FPS. If anyone could add to this and make it specific to tower defense games then I would be truly great-full. How is AI most commonly implemented in popular games? Example of such games would be: Radiant Defense Plant Vs Zombies - Not truly Intelligent, but there must be an AI system used right? Field Runners Edit: After further research I found an interesting book that may be useful: http://www.amazon.com/dp/0123747317/?tag=stackoverfl08-20

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  • The Calmest IT Guy in the World

    - by Markus Weber
    Unplanned outages and downtime still result not only in major productivity losses, but also major financial losses. Along the same lines, if zero planned downtime and zero data loss are key to your IT environment and your business requirements, planning for those becomes very important, all while balancing between performance, high availability, and cost. Oracle Database High Availability technologies will help you achieve these mission-critical goals, and are reflected in Oracle's best practices offerings of the Maximum Availability Architecture, or MAA. We created three neat, short videos showcasing some typical use cases, and highlighting three important components (amongst many more) of MAA: Oracle Real Application Clusters (RAC) Oracle Active Data Guard Oracle Flashback Technologies Make sure to watch those videos here, and learn about challenges, and solutions, around High Availability database environments from a recent Independent Oracle Users Group (IOUG) survey. 

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  • What Are Oracle Users Doing to Improve Availability and Disaster Recovery?

    - by jgelhaus
    What Are Oracle Users Doing to Improve Availability and Disaster Recovery? Download the recent database availability survey report, Enterprise Data and the Cost of Downtime, and watch the Webcast highlighting the results. The survey, conducted by the Independent Oracle Users Group, examined more than 350 data managers and professionals regarding planned and unplanned downtime, database high availability, and disaster recovery solutions. The findings will help you learn about: Leading causes of planned and unplanned downtime of Oracle users Different approaches to database high availability Why a majority of Oracle users commonly deploy Oracle Database with Oracle Real Application Clusters, Oracle Active Data Guard, and Oracle GoldenGate Register now to download the report and watch the Webcast.

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  • Ceská obchodní banka, a.s. Upgrades to Oracle Database 11g On Time, On Budget and without Disrupting Business Operations

    - by jgelhaus
    You want the new features of the latest release, but upgrading a database is one of those things DBAs can "lose sleep" over.  Ceská obchodní banka, a.s."CSOB" needed to upgrade its production systems in the Czech Republic and Slovakia that supported 90 key applications for its retail, corporate, internet, and ATM services from Oracle Database 9i to Oracle Database 11g with simultaneous migration from Alpha processors/OpenVMS-based hardware to a Power7, AIX system. Oracle Consulting helped to complete the upgrade within schedule and budget, while meeting tight restrictions on downtime. Knowledge transfer by Oracle Consulting to the bank’s IT team has improved self-sufficiency in support and maintenance while the technical and advisory services of Oracle Consulting Expert Services continue to optimize performance and availability while lowering cost of ownership. Read how CSOB maximized the value of its investment in Oracle Database technology with an upgrade to Oracle Database 11g.

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  • Magento Checkout options

    - by graham barnes
    Hi I want to add some options to my magento, lets say i print on clothing, a customer buys some t-shirts, shirts and jackets from me, it totals to £60+ VAT on the checkout area where i signup and not before I need to add an option where I can add a text box and upload option, can i do this? I ideally then want to add some pricing options if the user has chosen to add some branding to a product or multiple products e.g. if the branding was on the top right of the shirt it will cost £5.00, if on the back it costs £7.00 etc all if possible to be done via the admincp. I also want an option so when they upload their logo for the first time they are charged a one off charge, like a setup fee but If the customer has allready sent in there logo then no charge applies. thanks Graham

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  • Why not AJAX'ify entire websites?

    - by Anonymous -
    Is there any solid reasoning as to why sites shouldn't be developed with ajax functionality that loads major parts of each part (assuming there are elements like the header, navigation etc that remain the same)? Surely it would be less resource-intensive since the server wouldn't have to serve content that appears on every page, benefiting both the host and end-user. Answer the question taking into consideration: The sites javascript behaviour degrades gracefully in every instance For my question I'm talking about new sites where this behaviour could be implemented rather from the off, so it doesn't technically cost any money - we're not returning to a finished product to implement it.

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  • Benchmarking MySQL Replication with Multi-Threaded Slaves

    - by Mat Keep
    0 0 1 1145 6530 Homework 54 15 7660 14.0 Normal 0 false false false EN-US JA X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:12.0pt; font-family:Cambria; mso-ascii-font-family:Cambria; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Cambria; mso-hansi-theme-font:minor-latin; mso-ansi-language:EN-US;} The objective of this benchmark is to measure the performance improvement achieved when enabling the Multi-Threaded Slave enhancement delivered as a part MySQL 5.6. As the results demonstrate, Multi-Threaded Slaves delivers 5x higher replication performance based on a configuration with 10 databases/schemas. For real-world deployments, higher replication performance directly translates to: · Improved consistency of reads from slaves (i.e. reduced risk of reading "stale" data) · Reduced risk of data loss should the master fail before replicating all events in its binary log (binlog) The multi-threaded slave splits processing between worker threads based on schema, allowing updates to be applied in parallel, rather than sequentially. This delivers benefits to those workloads that isolate application data using databases - e.g. multi-tenant systems deployed in cloud environments. Multi-Threaded Slaves are just one of many enhancements to replication previewed as part of the MySQL 5.6 Development Release, which include: · Global Transaction Identifiers coupled with MySQL utilities for automatic failover / switchover and slave promotion · Crash Safe Slaves and Binlog · Optimized Row Based Replication · Replication Event Checksums · Time Delayed Replication These and many more are discussed in the “MySQL 5.6 Replication: Enabling the Next Generation of Web & Cloud Services” Developer Zone article  Back to the benchmark - details are as follows. Environment The test environment consisted of two Linux servers: · one running the replication master · one running the replication slave. Only the slave was involved in the actual measurements, and was based on the following configuration: - Hardware: Oracle Sun Fire X4170 M2 Server - CPU: 2 sockets, 6 cores with hyper-threading, 2930 MHz. - OS: 64-bit Oracle Enterprise Linux 6.1 - Memory: 48 GB Test Procedure Initial Setup: Two MySQL servers were started on two different hosts, configured as replication master and slave. 10 sysbench schemas were created, each with a single table: CREATE TABLE `sbtest` (    `id` int(10) unsigned NOT NULL AUTO_INCREMENT,    `k` int(10) unsigned NOT NULL DEFAULT '0',    `c` char(120) NOT NULL DEFAULT '',    `pad` char(60) NOT NULL DEFAULT '',    PRIMARY KEY (`id`),    KEY `k` (`k`) ) ENGINE=InnoDB DEFAULT CHARSET=latin1 10,000 rows were inserted in each of the 10 tables, for a total of 100,000 rows. When the inserts had replicated to the slave, the slave threads were stopped. The slave data directory was copied to a backup location and the slave threads position in the master binlog noted. 10 sysbench clients, each configured with 10 threads, were spawned at the same time to generate a random schema load against each of the 10 schemas on the master. Each sysbench client executed 10,000 "update key" statements: UPDATE sbtest set k=k+1 WHERE id = <random row> In total, this generated 100,000 update statements to later replicate during the test itself. Test Methodology: The number of slave workers to test with was configured using: SET GLOBAL slave_parallel_workers=<workers> Then the slave IO thread was started and the test waited for all the update queries to be copied over to the relay log on the slave. The benchmark clock was started and then the slave SQL thread was started. The test waited for the slave SQL thread to finish executing the 100k update queries, doing "select master_pos_wait()". When master_pos_wait() returned, the benchmark clock was stopped and the duration calculated. The calculated duration from the benchmark clock should be close to the time it took for the SQL thread to execute the 100,000 update queries. The 100k queries divided by this duration gave the benchmark metric, reported as Queries Per Second (QPS). Test Reset: The test-reset cycle was implemented as follows: · the slave was stopped · the slave data directory replaced with the previous backup · the slave restarted with the slave threads replication pointer repositioned to the point before the update queries in the binlog. The test could then be repeated with identical set of queries but a different number of slave worker threads, enabling a fair comparison. The Test-Reset cycle was repeated 3 times for 0-24 number of workers and the QPS metric calculated and averaged for each worker count. MySQL Configuration The relevant configuration settings used for MySQL are as follows: binlog-format=STATEMENT relay-log-info-repository=TABLE master-info-repository=TABLE As described in the test procedure, the slave_parallel_workers setting was modified as part of the test logic. The consequence of changing this setting is: 0 worker threads:    - current (i.e. single threaded) sequential mode    - 1 x IO thread and 1 x SQL thread    - SQL thread both reads and executes the events 1 worker thread:    - sequential mode    - 1 x IO thread, 1 x Coordinator SQL thread and 1 x Worker thread    - coordinator reads the event and hands it to the worker who executes 2+ worker threads:    - parallel execution    - 1 x IO thread, 1 x Coordinator SQL thread and 2+ Worker threads    - coordinator reads events and hands them to the workers who execute them Results Figure 1 below shows that Multi-Threaded Slaves deliver ~5x higher replication performance when configured with 10 worker threads, with the load evenly distributed across our 10 x schemas. This result is compared to the current replication implementation which is based on a single SQL thread only (i.e. zero worker threads). Figure 1: 5x Higher Performance with Multi-Threaded Slaves The following figure shows more detailed results, with QPS sampled and reported as the worker threads are incremented. The raw numbers behind this graph are reported in the Appendix section of this post. Figure 2: Detailed Results As the results above show, the configuration does not scale noticably from 5 to 9 worker threads. When configured with 10 worker threads however, scalability increases significantly. The conclusion therefore is that it is desirable to configure the same number of worker threads as schemas. Other conclusions from the results: · Running with 1 worker compared to zero workers just introduces overhead without the benefit of parallel execution. · As expected, having more workers than schemas adds no visible benefit. Aside from what is shown in the results above, testing also demonstrated that the following settings had a very positive effect on slave performance: relay-log-info-repository=TABLE master-info-repository=TABLE For 5+ workers, it was up to 2.3 times as fast to run with TABLE compared to FILE. Conclusion As the results demonstrate, Multi-Threaded Slaves deliver significant performance increases to MySQL replication when handling multiple schemas. This, and the other replication enhancements introduced in MySQL 5.6 are fully available for you to download and evaluate now from the MySQL Developer site (select Development Release tab). You can learn more about MySQL 5.6 from the documentation  Please don’t hesitate to comment on this or other replication blogs with feedback and questions. Appendix – Detailed Results

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