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  • Efficiency of PHP arrays cast as objects?

    - by keithjgrant
    From what I understand, PHP objects are generally much faster than arrays. How is that efficiency affected if I'm typecasting to define stdClass objects on the fly: $var = (object)array('one' => 1, 'two' => 2); If the code doing this is deeply-nested, will I be better off explicitly defining $var as an objects instead: $var = new stdClass(); $var->one = 1; $var->two = 2; Is the difference negligible since I'll then be accessing $var as an object from there on, either way?

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  • MySQL: Efficient Blobbing?

    - by feklee
    I'm dealing with blobs of up to - I estimate - about 100 kilo bytes in size. The data is compressed already. Storage engine: InnoDB on MySQL 5.1 Frontend: PHP (Symfony with Propel ORM) Some questions: I've read somewhere that it's not good to update blobs, because it leads to reallocation, fragmentation, and thus bad performance. Is that true? Any reference on this? Initially the blobs get constructed by appending data chunks. Each chunk is up to 16 kilo bytes in size. Is it more efficient to use a separate chunk table instead, for example with fields as below? parent_id, position, chunk Then, to get the entire blob, one would do something like: SELECT GROUP_CONCAT(chunk ORDER BY position) FROM chunks WHERE parent_id = 187 The result would be used in a PHP script. Is there any difference between the types of blobs, aside from the size needed for meta data, which should be negligible.

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  • Best and safest Java Profiler for production use?

    - by Pete
    I'm looking for a Java Profiler for use in a very high demand production environment, either commercial or free, that meets all of the following requirements: Lightweight integration with code (no recompile with special options, no code hooks, etc). Dropping some profiler specific .jars alongside the application code is ok. Should be able to connect/disconnect to the JVM without restarting the application. When profiling is not active, no impact to performance When profiling is active, negligible impact to performance. Very slight degradation is acceptable. Must do all the 'expected' stuff a profiler does - time spent in each method to find hotspots, object allocation/memory profiling, etc. Essentially I need something that can sit dormant in production when everything is fine without anyone knowing or caring that it is there, but then be able to connect to it hassle (and performance degradation) free to pinpoint the hard to find problems like hotspots and synchronization issues.

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  • Is it possible to use JavaScript to break the HTML of a page?

    - by Karl Brown
    I've been asked at work whether it is possible to write, on purpose or by accident, JavaScript that will remove specific characters from a HTML document and thus break the HTML. An example would be adding some JavaScript that removes the < symbol in the page. I've tried searching online and I know JavaScript can replace strings, but my knowledge of the language is negligible. I've been asked to look into it as a way of hopefully addressing why a site I work on needs to have controls over who can add bespoke functionality to the page. I'm hoping it's not possible but would be grateful for the peace of mind!

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  • why C clock() returns 0

    - by eddy ed
    I've got something like this: clock_t start, end; start=clock(); something_else(); end=clock(); printf("\nClock cycles are: %d - %d\n",start,end); and I always get as an output "Clock cycles are: 0 - 0" Any idea why this happens? (Just to give little detail, the something_else() function performs a left-to-right exponentiation using montgomery represantation, moreover I don't know for certain that the something_else() function does indeed take some not negligible time.) This is on Linux. The result of uname -a is: Linux snowy.*****.ac.uk 2.6.32-71.el6.x86_64 #1 SMP Fri May 20 03:51:51 BST 2011 x86_64 x86_64 x86_64 GNU/Linux

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  • SSIS code smell – Unused columns in the dataflow

    - by jamiet
    A code smell is defined on Wikipedia as being a “symptom in the source code of a program that possibly indicates a deeper problem”. It’s a term commonly used by our code-writing brethren to describe sub-optimal code but I think the term can be applied equally well to SSIS packages too as I shall now explain One of my pet hates about SSIS development is packages that throw warnings of the form: The output column "ColumnName" (1358) on output "OLE DB Source Output" (1289) and component "OLE_SRC Name" (1279) is not subsequently used in the Data Flow task. Removing this unused output column can increase Data Flow task performance.  The warning is fairly self-explanatory – any column that appears in the data flow but doesn’t get used will throw this warning when the data flow is executed. Its not the negligible performance degradation that they cause that bothers me though, it’s the clutter that they cause in your log file/table. Take a look at the following screenshot if you don’t believe me: There are 231409 such warnings in the system that I took this screenshot from, that is 231409 log records that should not be there. The most infuriating thing about this warning is that it is so easily avoidable; eliminating such columns is a very quick and easy thing to do in the SSIS Designer. The only problem I see is that the warnings don’t occur until you execute the package – it would be preferable for the designer to have an unobtrusive way of informing you of them as well. Anyway, I digress… I consider such warnings to be a code smell because, to me, they’re symptomatic of a lack of due care and attention; a lack of developer discipline if you will. What other code smells can you think of when building SSIS packages? If I get a good list in the comments maybe I’ll compile them into a later blog post. @Jamiet Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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  • Cross-platform independent development

    - by Joe Wreschnig
    Some years ago, if you wrote in C and some subset of C++ and used a sufficient number of platform abstractions (via SDL or whatever), you could run on every platform an indie could get on - Linux, Windows, Mac OS of various versions, obscure stuff like BeOS, and the open consoles like the GP2X and post-death Dreamcast. If you got a contract for a closed platform at some point, you could port your game to that platform with "minimal" code changes as well. Today, indie developers must use XNA to get on the Xbox 360 (and upcoming Windows phone); must not use XNA to work anywhere else but Windows; until recently had to use Java on Android; Flash doesn't run on phones, HTML5 doesn't work on IE. Unlike e.g. DirectX vs. OpenGL or Windows vs. Unix, these are changes to the core language you write your code in and can't be papered over without, basically, writing a compiler. You can move some game logic into scripts and include an interpreter - except when you can't, because the iPhone SDK doesn't allow it, and performance suffers because no one allows JIT. So what can you do if you want a really cross-platform portable game, or even just a significant body of engine and logic code? Is this not a problem because the platforms have fundamentally diverged - it's just plain not worthwhile to try to target both an iPhone and the Xbox 360 with any shared code because such a game would be bad? (I find this very unlikely. I can easily see wanting to share a game between a Windows Mobile phone and an Android, or an Xbox 360 and an iPad.) Are interfaces so high-level now that porting time is negligible? (I might believe this for business applications, but not for games with strict performance requirements.) Is this going to become more pronounced in the future? Is the split going to be, somewhat scarily, still down vendor lines? Will we all rely on high-level middleware like Flash or Unity to get anything cross-platform done? tl;dr - Is porting a problem, is it going to be a bigger problem in the future, and if so how do we solve it?

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  • Indie Software Developers - How do I handle taxes?

    - by Connor
    I apologize if this is the wrong site to post on, perhaps someone could point me to the proper place if it is not. Hello, I am 17 years old and currently develop applications/games for Android and iPhone as well as develop internet websites and code a variety of my own projects. I have been very fortunate and have made a large amount of money and continue to make money online to the point where I do not need a stable job, though I'd like to get one after college. I've never held a job anywhere, and have never had to pay taxes. I'm coming into a lot of issues and I am quite confused. I get money from MANY sources- 15 different advertisement networks(!), 4 different payment processors, 5 different affiliate networks and a variety of other sources. All of them pay to different places and at different times (checking account, PayPal, reloadable debit card, ect.) I essentially have a list in a Notepad with names and login information for each source. I have also created a PHP script that uses cURL to grab all the revenue from each service, add it all up, then text me every few hours so I can keep track. It's a mess, but it's working OK, and I can create custom reports (for IRS?). But enough of that, my questions are about taxes in the US, and how indie developers handle it all. I'm at slightly over $250k so far this year, with negligible earnings last year. I have it all stockpiled in a bank account and haven't touched it, I'm a bit scared to. What do I file as? A sole proprietor, a business, just a regular person? How can I handle all of the different revenue sources? (AdSense, CJ, LinkShare) So far none of them have sent me any paperwork on taxes and I've read that I'm supposed to pay taxes quarterly? Do I need paperwork from EACH source to file? Or can I just say I got $x total and that'd be it? What percentage do you pay of total earnings? Average? Should I create an LLC? A corporation? Or stay as a developer? What would be the cheapest options? Could I go to jail? I haven't touched the money except a few dollars to help my parents pay the mortgage once. Any insight would be great. My parents have no idea what I should do, both have no forms of higher education and both have no high school diploma's. They just live day by day with simple jobs. I appreciate any help or experience with this.

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  • Using lookahead assertions in regular expressions

    - by Greg Jackson
    I use regular expressions on a daily basis, as my daily work is 90% in Perl (legacy codebase, but that's a different issue). Despite this, I still find lookahead and lookbehind to be terribly confusing and often unreadable. Right now, if I were to get a code review with a lookahead or lookbehind, I would immediately send it back to see if the problem can be solved by using multiple regular expressions or a different approach. The following are the main reasons I tend not to like them: They can be terribly unreadable. Lookahead assertions, for example, start from the beginning of the string no matter where they are placed. That, among other things, can cause some very "interesting" and non-obvious behaviors. It used to be the case that many languages didn't support lookahead/lookbehind (or supported them as "experimental features"). This isn't the case quite as much, but there's still always the question as to how well it's supported. Quite frankly, they feel like a dirty hack. Regexps often already are, but they can also be quite elegant, and have gained widespread acceptance. I've gotten by without any need for them at all... sometimes I think that they're extraneous. Now, I'll freely admit that especially the last two reasons aren't really good ones, but I felt that I should enumerate what goes through my mind when I see one. I'm more than willing to change my mind about them, but I feel that they violate some of my core tenets of programming, including: Code should be as readable as possible without sacrificing functionality -- this may include doing something in a less efficient, but clearer was as long as the difference is negligible or unimportant to the application as a whole. Code should be maintainable -- if another programmer comes along to fix my code, non-obvious behavior can hide bugs or make functional code appear buggy (see readability) "The right tool for the right job" -- I'm sure you can come up with contrived examples that could use lookahead, but I've never come across something that really needs them in my real-world development work. Is there anything that they're really the best tool for, as opposed to, say, multiple regexps (or, alternatively, are they the best tool for most cases they're used for today). My question is this: Is it good practice to use lookahead/lookbehind in regular expressions, or are they simply a hack that have found their way into modern production code? I'd be perfectly happy to be convinced that I'm wrong about this, and simple examples are useful for examples or illustration, but by themselves, won't be enough to convince me.

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  • Survey results: Open source developer preferences

    We recently conducted a survey of open source developers to learn about their current preferences around hosting sites and source control systems.  The survey was primarily advertised via Twitter, and we tried to avoid pushing the survey among audiences that would be specifically oriented towards a particular site (for example we did not advertise the survey from the CodePlex twitter account). In total there were just under 500 responses, so a reasonable sample size although not necessarily enough to guarantee fully representative results.  One of the survey questions was what is your preferred operating system for development, and looking at the results they are particularly interesting when split by operating system preference because of how significant the difference is:   Table 1 - Preferences by what is preferred operating system for development   As you can see, the preferences among developers which prefer Windows is very different from Linux and Mac oriented developers.  Again, the question was on what operating system they prefer to use for development, and didn’t ask what type of applications they create, so presumably many create things like websites which are cross-platform from a user perspective regardless of the operating system they prefer developing with. For hosting site preference, CodePlex and GitHub are roughly tied for first place among Windows developers and combined are preferred by over 75%.  However with Linux and Mac developers, GitHub has a runaway lead over the other sites.  Perhaps not particularly surprising, CodePlex has negligible mindshare among Linux and Mac developers.  It is somewhat surprising how low SourceForge and Google Code are given historically they used to rank much higher. Looking at version control preferences is also interesting.  Among Windows developers TFS, Mercurial, Subversion, and Git all have a sizable following.  While for Linux and Mac developers it is almost all Git and Mercurial, with Git having a substantial lead.  Git is generally considered to run better on Linux and have more of a Unix feel, so not really surprising to see it more popular there compared to Windows developers.  It is surprising how low Subversion has dropped since it was the dominant preference not long ago for open source developers.  Around a quarter of Windows developers still prefer Subversion, but Linux and Mac developers have largely abandoned it.  The trend towards distributed version control systems (e.g. Mercurial and Git) is strong, with over 50% of Windows developers now prefer DVCS, and over 80% of Linux and Mac developers.

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  • Why would you dual-run an app on Azure and AWS?

    - by Elton Stoneman
    Originally posted on: http://geekswithblogs.net/EltonStoneman/archive/2013/11/10/why-would-you-dual-run-an-app-on-azure-and-aws.aspxI had this question from a viewer of my Pluralsight course, Implementing the Reactive Manifesto with Azure and AWS, and thought I’d publish the response. So why would you dual-run your cloud app by hosting it on Azure and AWS? Sounds like a lot of extra development and management overhead. Well the most compelling reasons are reliability and portability. In 2012 I was working for a client who was making a big investment in the cloud, and at the end of the year we published their first external API for business partners. It was hosted in Azure and used some really nice features to route back into existing on-premise services. We were able to publish a clean, simple API to partners, and hide away the underlying complexity of the internal services while still leveraging them to do all the work. Two days after we went live, we were hit by the Azure SSL certificate expiry outage, and our API was unavailable for the best part of 3 days. Fortunately we had planned a gradual roll-out to partners, so the impact was minimal, but we’d been intending to ramp up quickly, and if the outage had happened a week or two later we would have been in a very bad place. Not least because our app could only run on Azure, we couldn’t package it up for another service without going back and reworking the code. More recently AWS had an issue with a networking device in one of their data centres which caused an outage that took the best part of a day to resolve. In both scenarios the SLAs are worthless, as you’ll get back a small percentage of your cloud expenditure, which is going to be negligible compared to your costs in dealing with the outage. And if your app is built specifically for AWS or Azure then if there’s an extended outage you can’t just deploy it onto a new set of kit from a different supplier. And the chances are pretty good there will be another extended outage, both for Microsoft and for Amazon. But the chances are small that it will happen to both at the same time. So my basic guidance has been: ignore the SLAs, go for better uptime by using two clouds. As soon as you need to scale beyond a single instance, start by scaling out to another cloud. Then scale out to different data centres in both clouds. Then you’ve got dual-cloud, quadruple-datacentre redundancy, so any more scaling you need can be left to the clouds to auto-scale themselves. By running in both clouds, you’ve made your app portable, so in the highly unlikely event that both AWS and Azure go down in multiple regions, you’ll have a deployment package which will let you spin up a new stack on yet another cloud, without having to rework your solution.

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  • Block-level deduplicating filesystem

    - by James Haigh
    I'm looking for a deduplicating copy-on-write filesystem solution for general user data such as /home and backups of it. It should use online/inline/synchronous deduplication at the block-level using secure hashing (for negligible chance of collisions) such as SHA256 or TTH. Duplicate blocks need not even touch the disk. The idea is that I should be able to just copy /home/<user> to an external HDD with the same such filesystem to do a backup. Simple. No messing around with incremental backups where corruption to any of the snapshots will nearly always break all later snapshots, and no need to use a specific tool to delete or 'checkout' a snapshot. Everything should simply be done from the file browser without worry. Can you imagine how easy this would be? I'd never have to think twice about backing-up again! I don't mind a performance hit, reliability is the main concern. Although, with specific implementations of cp, mv and scp, and a file browser plugin, these operations would be very fast, especially when there is a lot of duplication as they would only need to transfer the absent blocks. Accidentally using conventional copy tools that do not integrate with the FS would merely take longer, waste some bandwidth when copying remotely and waste some CPU, as the duplicate data would be re-read, re-transferred and re-hashed (although nothing would be re-written), but would absolutely not corrupt anything. (Some filesharing software may also be able to benefit by integrating with the FS.) So what's the best way of doing this? I've looked at some options: lessfs - Looks unmaintained. Any good? [Opendedup/SDFS][3] - Java? Could I use this on Android?! What does [SDFS][4] stand for? [Btrfs][5] - Some patches floating around on mailing list archives, but no real support. [ZFS][6] - Hopefully they'll one day relicense under a true Free/Opensource GPL-compatible licence. Also, 2 years ago I had a go at an attempt in Python using Fuse at the file-level to be used over the top of a typical solid FS such as EXT4, but I found Fuse for Python underdocumented and didn't manage to implement all of the system calls. My first post here, so I can't post more than 2 links until I get over 10 rep: [3]: http://www.opendedup.org/ [4]: https://en.wikipedia.org/w/index.php?title=SDFS&action=edit&redlink=1 [5]: https://en.wikipedia.org/wiki/Btrfs#Features [6]: https://en.wikipedia.org/wiki/ZFS#Linux

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  • Network connection to Firebird 2.1 became slow after upgrading to Ubuntu 10.04

    - by lyle
    We've got a setup that we're using for different clients : a program connecting to a Firebird server on a local network. So far we mostly used 32bit processors running Ubuntu LTS (recently upgraded to 10.04). Now we introduced servers running on 64bit processors, running Ubuntu 10.04 64bit. Suddenly some queries run slower than they used to. In short: running the query locally works fine on both 64bit and 32bit servers, but when running the same queries over the network the 64bit server is suddenly much slower. We did a few checks with both local and remote connections to both 64bit and 32bit servers, using identical databases and identical queries, running in Flamerobin. Running the query locally takes a negligible amount of time: 0.008s on the 64bit server, 0.014s on the 32bit servers. So the servers themselves are running fine. Running the queries over the network, the 64bit server suddenly needs up to 0.160s to respond, while the 32bit server responds in 0.055s. So the older servers are twice as fast over the network, in spite of the newer servers being twice as fast if run locally. Apart from that the setup is identical. All servers are running the same installation of Ubuntu 10.04, same version of Firebird and so on, the only difference is that some are 64 and some 32bit. Any idea?? I tried to google it, but I couldn't find any complains that Firebird 64bit is slower than Firebird 32bit, except that the Firebird 2.1 change log mentions that there's a new network API which is twice as fast, as soon as the drivers are updated to use it. So I could imagine that the 64bit driver is still using the old API, but that's a bit of a stretch, I guess. Thanx in advance for any replies! :)

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  • HA for Resque & Redis

    - by Chris Go
    Trying to avoid SPOFs for Resque and Redis. Ultimately the client is going to be PHP via (https://github.com/chrisboulton/php-resque). After going through and finding some workable HA for nginx+php-fpm and MySQL (mysql master-master setup as a way to simply master-slave promotion), next up is Resque+Redis. Standard install of Resque uses localhost Redis (at DigitalOcean). I am heavily depending on Amazon Route 53 DNS failover to try to solve this. resque1.domain.com points to localhost redis (redis1.domain.com) = same server resque2.domain.com points to localhost redis (redis2.domain.com) = same server Do resque.domain.com with FAILOVER resque1 as primary and resque2 as secondary. What this means is that most of the time (99%), resque1 should be getting hit with resque2 as just a hot backup. This lets me just have to get 2 servers and makes sure that any hits to resque.domain.com goes somewhere The other way to do this is to break out resque and redis into 4 servers and do it as follows resque1.domain.com - redis.domain.com resque2.domain.com - redis.domain.com redis1.domain.com redis2.domain.com Then setup DNS Failover resque.domain.com - primary: resque1 and secondary: resque2 redis.domain.com - primary: redis1 and secondary: redis2 I'd like to get away for 2 servers if I can but is this 2nd setup much better or negligible? Thanks, Chris

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  • Logging hurts MySQL performance - but, why?

    - by jimbo
    I'm quite surprised that I can't see an answer to this anywhere on the site already, nor in the MySQL documentation (section 5.2 seems to have logging otherwise well covered!) If I enable binlogs, I see a small performance hit (subjectively), which is to be expected with a little extra IO -- but when I enable a general query log, I see an enormous performance hit (double the time to run queries, or worse), way in excess of what I see with binlogs. Of course I'm now logging every SELECT as well as every UPDATE/INSERT, but, other daemons record their every request (Apache, Exim) without grinding to a halt. Am I just seeing the effects of being close to a performance "tipping point" when it comes to IO, or is there something fundamentally difficult about logging queries that causes this to happen? I'd love to be able to log all queries to make development easier, but I can't justify the kind of hardware it feels like we'd need to get performance back up with general query logging on. I do, of course, log slow queries, and there's negligible improvement in general usage if I disable this. (All of this is on Ubuntu 10.04 LTS, MySQLd 5.1.49, but research suggests this is a fairly universal issue)

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  • Are SATA II and SATA 3.0 Gbps compatible?

    - by Johnny Maelstrom
    I am trying to check that if I buy a new internal HDD it will work in the NAS I am buying. Currently I'm confused about naming schemes and once that is resolved whether there is compatibility. I will gladly author this question to be more general if there is not already an article helping with the confusion of SATA naming and standards. I see similar, but not identical questions and will accept this as a duplicate if thought as such. The specifications on the eCommerce site for the NAS says, "Controller Interface Type Serial ATA-150", the product home page for the manufacturer says, "Compatible with SATA and SATA II HDD". The specifications on the eCommerce site for the hard drives say, "Interface Type Serial ATA-300", the product home page for the manufacturer says, "Interface SATA 3.0 Gbps" Wikipedia says many things about different naming conventions, the closest being, "SATA II 3.0 Gbit/s, which was colloquially referred to as "SATA 3G" [bps] or "SATA 300" [MB/s] since 1.5 Gbit/s SATA I and 1.5 Gbit/s SATA II were referred to as both "SATA 1.5G" [b/s] or "SATA 150" [MB/s]). Therefore, they will operate with negligible differences between them." Are SATA II and SATA 3.0 Gbps the same? I feel I'm tantalisingly close to getting a definitive answer here before I purchase, but really want to clear up these naming schemes.

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  • Web Server Routing Based On Location

    - by Eric
    I have a website that has users from both Hong Kong and Australia. Unfortunately, since the server is located in Australia, users from Hong Kong are going to suffer latency problems. Traffic has to go through US before travelling back to Australia. So I've setup a server in Hong Kong as well, and users using the .hk TLD are going to be redirected to the Hong Kong web server. It shares the same database server with the Australian server but due to aggressive SQL query caching, impact on performance from latency from SQL queries are negligible. But for users accustomed to the Hong Kong website but have since traveled to Australia, they suffer from additional latency because they go to the .hk site which redirects to the HK server even when they're in Australia. The website is targeted at international students from Hong Kong so this is an significant issue for me. Instead of redirecting users to the closest web server based on the TLD, how do I redirect users based on their location? Currently I am using nginx, postgres and Django. Say I know how to estimate users' location based on users' IP addresses, what is my next step? At what level would I work on? What topic should I read up?

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  • When should NTPd broadcast/broadcastclient be used instead of client/server or peer modes?

    - by Luke404
    The NTP deamon if often used in its simplest mode, which is client/server: you specify one or more server directives in your ntp.conf and your clients will use those servers. In addition to that, when you run your own NTP servers, it is good practice to peer them together, so if one of them looses connectivity to its upstream servers, it will get time from its peers. But NTPd can also work with broadcast and/or multicast distribution of time data, with the documentation stating: broadcast and multicast modes are intended for configurations involving one or a few servers and a possibly very large client population The documentation also says elsewhere: It is possible and frequently useful to configure a host as both broadcast client and broadcast server. A number of hosts configured this way and sharing a common broadcast address will automatically organize themselves in an optimum configuration based on stratum and synchronization distance. I can see one obvious administrative benefit: you don't have to manually specify and update your list of NTP servers in the clients ntp.conf, so to me it looks tempting to use broadcast mode even for a small client population (say 5+ clients with 3~4 servers). I expect network traffic to be a little higher with broadcasts instead of client/server associations, but given the usual gigabit ethernet LAN the impact should be negligible unless you have a very very large number of hosts in the same broadcast domain. At the end of the day, when should broadcast mode be used or avoided? Are there pros and cons I haven't seen?

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  • Are SATA II and SATA 3.0 Gbps compatible?

    - by Johnny Maelstrom
    I am trying to check that if I buy a new internal HDD it will work in the NAS I am buying. Currently I'm confused about naming schemes and once that is resolved whether there is compatibility. I will gladly author this question to be more general if there is not already an article helping with the confusion of SATA naming and standards. I see similar, but not identical questions and will accept this as a duplicate if thought as such. The specifications on the eCommerce site for the NAS says, "Controller Interface Type Serial ATA-150", the product home page for the manufacturer says, "Compatible with SATA and SATA II HDD". The specifications on the eCommerce site for the hard drives say, "Interface Type Serial ATA-300", the product home page for the manufacturer says, "Interface SATA 3.0 Gbps" Wikipedia says many things about different naming conventions, the closest being, "SATA II 3.0 Gbit/s, which was colloquially referred to as "SATA 3G" [bps] or "SATA 300" [MB/s] since 1.5 Gbit/s SATA I and 1.5 Gbit/s SATA II were referred to as both "SATA 1.5G" [b/s] or "SATA 150" [MB/s]). Therefore, they will operate with negligible differences between them." Are SATA II and SATA 3.0 Gbps the same? I feel I'm tantalisingly close to getting a definitive answer here before I purchase, but really want to clear up these naming schemes.

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  • explanation of RAM specs, and what do I need for a Gaming rig

    - by ewok
    I am looking into upgrading my custom built PC's RAM. I use the machine mostly for gaming, but I don't really know a ton about RAM, so I wanted to ask a few questions. The research I've done tells me there is a negligible increase in speed for anything above 1600 MHz. is this true or is it worth the extra money to go higher? Other than drawing more power from the PSU, is there any real difference in performance with different voltages (1.5V vs 1.65V)? most of the kits I've found in the 2x4 1600 range have a CAS latency of 9 and timing of 9-9-9-24. For a significant increase in price (usually about 1.5x), I can get either 8 or 7 and lower timing. Is it worth the cost? What I am looking for here is someone to give a good explanation of what the different specs represent, and how that relates to the performance of the machine. Specifically, I'm looking for what specs I need to focus on for a good gaming rig. I am NOT looking for a "buy this, it's the best RAM" without an explanation of why. The information will be much more valuable as it will allow me to make my own informed decision. As they say, give a man a fish, he'll eat for a day. teach a man to fish, and he'll eat for the rest of his life.

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  • Windows 7 Paging file apparently not being used

    - by Daniel F.
    I'm running Windows 7 Home Premium 32bit on a mobo with 24GB RAM. Of those 24GB, 20GB are assigned as a RAMDISK via ASRock XFastRAM. This RAMDISK has the drive letter X assigned to it. On X:\ I'm storing the temporary files folder, as well as pagefile.sys. Pagefile.sys has 6GB of size. The X:\ has usually around 14GB free space, so the temporary files are negligible, it's mostly the browsers which are storing their caches on there. Now my issue is that Firefox is crashing a lot on me, no error message pops up, but I know that this is because it's out of memory. I could kind of live with that, but now that I switched from using Eclipse to Android Studio, I know that I'm in trouble, because Java isn't capable of allocating, and Android Studio, together with the Java instances it launches, is quite a memory hog. So I tried to figure out what's wrong, and apparently Windows isn't swapping out memory onto the paging file. While my applications are crashing (firefox) / not starting (java vm's), the paging file is only using constantly around 15% of its size (checked with the performance monitor). 15% equals to 1GB aprox. I know that the correct solution would be to switch to 64 bit Windows, but I had to use the 32 bit version because of driver issues which I had about two years ago, and I guess that I'll have them again if I reformat and install the 64 bit version. Also, the machine is running quite stable, the only issue is the memory, so I'd like to use it as it is (as the apps are installed and configured) Is there a way to make Windows use the paging file more efficiently? None of my processes require more than 1GB, I'd just like it to swap out some seldomly used stuff, like GoogleCrashHandler.exe and stuff like that in order to have "more physical memory avaliable". Is that possible?

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  • What are the advantages of registered memory?

    - by odd parity
    I'm browsing for a few low-end servers for a startup and I'm a bit confused about the different memory types. The advantage of ECC is clear - single-bit error correction. When it comes to registered memory it seems more vague, especially in systems that support both registered and unbuffered memory. A Google search mostly finds copies of the Wikipedia article, which states that registered memory chips "...place less electrical load on the memory controller and allow single systems to remain stable with more memory modules than they would have otherwise". However I can't find any quantification of this. What I'm wondering about is: Is registered memory an improvement over unbuffered when it comes to soft error rate, or is it purely about the maximum number of modules supported? If yes, at what point (amount of modules or GB of memory) do these improvements start to become noticeable? For a specific example, the HP ProLiant DL 120 G6 server manual states that maximum supported memory configuration is 16 GB unbuffered (4x4GB) or 12 GB registered (6x2GB). In this case I'd rather have the extra 4GB of memory if the reliability difference is negligible.

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  • How expensive is a hostname in htaccess? Other solutions possible?

    - by Nanne
    For easy allow or disallowing of dynamic IP-adresses you can add them as a hostname in a .htaccess file. As I have read from: .htaccess allow from hostname? it does a reverse lookup on the connecting ip address, seeing if the response matches the allowed name. (Well, actually Apache is doing a double lookup, first a reverse lookup and then a forward lookup on the result of the reverse.) This is the reason we are currently not using dynamic-ip hostnames in the .htaccess: this "sounds" quite heavy: 2 extra lookups for every request. Is this indeed quite heavy, and would a reasonably busy server that is rather looking for less then more load get away with this :)? (e.g.: how does this 'load' compare to the rest? If a request is 1000 times more expensive then the lookups it might be negligible. otoh, it could be that final straw :) ) Are there other solutions? I can write a script that does a lookup of the hostname and put it in .htaccess files ofcourse, but this feels a bit like a hack.

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  • Where can someone store >100GB of pictures online? [closed]

    - by sbi
    A person who is not very computer-savvy needs to store 130GB of photos. The key parameters are: an non-negligible probability that the company selling the storage will be existing, and the data accessible, for at least five years data should be considered safe once uploaded reasonable terms of service: google drive reserving the right to literally do anything they want with their user's data is not acceptable; the possibility that the CIA might look at those pictures is not considered a threat easy to use from Windows, preferably as a drive no nerve-wracking limitations ("cannot upload 10GB/day" or "files 500MB" etc.) that serve no purpose other than pushing the user to the next-higher price plan some upgrade plan: there's currently 10-30GB of new photos per year, with a tendency to increase, which might bust a 150GB limit next January ability to somehow sort the pictures: currently they are sorted into folders, but something alike (tags) would be just as good, if easy enough to apply of course, the pricing is important (although there's a reason this is the last bullet; reasonable data safety is considered more important) Nice to have, but not necessary features would be: additional features related to photos (thumbnail generation, album sharing etc.) access from web and other platforms than Windows (smart phones) Let me stress this again: The person in need of that is able to copy pictures from the camera to the computer, can copy files in the explorer, and uses a web email service. That's about it, there's almost no understanding of what happens under the hood.

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  • How much free memory should I have on my webserver?

    - by neanderslob
    I have a webserver that's currently hosting two Wordpress sites and some java-based collaboration software. The server has 2G of memory and is currently using about 1.8G of the available memory. Right now what's on here is pretty much a pilot project that's getting negligible traffic so I think it's pretty clear that I'll be needing more memory. I was wondering, if I was to release it, how I might anticipate my memory needs based on the traffic it gets. I've poked around on Google and what I've found has been a bit tenuous. Is there a good heuristic that one should use when calculating memory demands as a function of the base (no traffic) load on the server? For reference, the output of free -m can be seen below: total used free shared buffers cached Mem: 2048 1832 215 0 0 0 -/+ buffers/cache: 1832 215 Swap: 0 0 0 To me this looks like actual memory used and isn't an illusion due to caching or anything else. I figure the demands of my collaboration software will have to be experimentally tested so here's free -m without that software running: total used free shared buffers cached Mem: 2048 1109 938 0 0 0 -/+ buffers/cache: 1109 938 Swap: 0 0 0 My plan B to figure this out is to add a bunch of swap space to the server, give it some traffic and adjust according the the amount that swap gets used. I was just wondering if anyone had a good rule of thumb to estimate how much memory I should plan on in advance...or if what I'm thinking is nuts. Many thanks in advance (I'm really quite new to this).

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