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  • how to make my code scalable on iphone ..thanks

    - by zjm1126
    this is my code: <!DOCTYPE html PUBLIC "-//WAPFORUM//DTD XHTML Mobile 1.0//EN" "http://www.wapforum.org/DTD/xhtml-mobile10.dtd"> <html xmlns="http://www.w3.org/1999/xhtml" > <head> <meta http-equiv="Content-Type" content="text/html; charset=UTF-8"> <meta name="viewport" content="width=device-width,minimum-scale=0,maximum-scale=2.0><!--,user-scalable=no">--> </head> <body onorientationchange="updateOrientation();"> <div id="a"> <input id='ab' type="button" value="button" /> </div> <div id=b style="display: none"></div> <style type="text/css"> *{ margin:0; padding:0; } body{ /*height: 356px;* } /* Reposition on orientation change */ body.landscape{ height: 208px; } body.landscape div#a{ line-height:104px; } div#a{ height:50%; line-height:178px; text-align:center; } #b{ width:100%; height:50%; background:red; } </style> <script src="jquery-1.4.2.js" type="text/javascript"></script> <script type="text/javascript"> function updateOrientation() { var orientation = window.orientation; switch (orientation) { // If we're horizontal case 90: case -90: // Set orient to landscape $(document.body).addClass("landscape"); break; // If we're vertical default: // Set orient to portrait $(document.body).removeClass("landscape"); break; } } $('#ab').click(function(){ if($('#b').css('display')=='none')$('#b').css('display','block') else $('#b').css('display','none') }) </script> </body> </html> thanks

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  • What are some good tips for a developer trying to design a scalable MySQL database?

    - by CFL_Jeff
    As the question states, I am a developer, not a DBA. I have experience with designing good ER schemas and am fairly knowledgeable about normalization and good schema design. I have also worked with data warehouses that use dimensional modeling with fact tables and dim tables. However, all of the database-driven applications I've developed at previous jobs have been internal applications on the company's intranet, never receiving "real-world traffic". Furthermore, at previous jobs, I have always had a DBA or someone who knew much more than me about these things. At this new job I just started, I've been asked to develop a public-facing application with a MySQL backend and the data stored by this application is expected to grow very rapidly. Oh, and we don't have a DBA. Well, I guess I am the DBA. ;) As far as designing a database to be scalable, I don't even know where to start. Does anyone have any good tips or know of any good educational materials for a developer who has been sort of shoved into a DBA/database designer role and has been tasked with designing a scalable database to support an application like this? Have any other developers been through this sort of thing? What did you do to quickly become good at this role? I've found some good slides on the subject here but it's hard to glean details from slides. Wish I could've attended that guy's talk. I also found a good blog entry called 5 Ways to Boost MySQL Scalability which had some good information, though some of it was over my head. tl;dr I just want to make sure the database doesn't have to be completely redesigned when it scales up, and I'm looking for tips to get it right the first time. The answer I'm looking for is a "list of things every developer should know about making a scalable MySQL database so your application doesn't perform like crap when the data gets huge".

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  • Best practices for building a simple, scalable cluster on Amazon EC2 for a Java web app

    - by Alex B
    I want to build a Java web app and deploy it on EC2. It will be written in Java and will use MySQL. I was hoping to get some pointers on the actual deployment process and configuration. In particular I'm interested in the following topics: machine images (diy vs ready made) mysql replication and backup to S3 ways of deploying and redeploying the app to EC2 without interruptions firewalls? load balancing and auto scaling cloudtools (or alternative tools)

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  • noSQL/SQL/RoR: Trying to build scalable ratings table for the game

    - by alexeypro
    I am trying to solve complex thing (as it looks to me). I have next entities: PLAYER (few of them, with names like "John", "Peter", etc.). Each has unique ID. For simplicity let's think it's their name. GAME (few of them, say named "Hide and Seek", "Jump and Run", etc.). Same - each has unique ID. For simplicity of the case let it be it's name for now. SCORE (it's numeric). So, how it works. Each PLAYER can play in multiple GAMES. He gets some SCORE in every GAME. I need to build rating table -- and not one! Table #1: most played GAMES Table #2: best PLAYERS in all games (say the total SCORE in every GAME). Table #3: best PLAYERS per GAME (by SCORE in particularly that GAME). I could be build something straight right away, but that will not work. I will have more than 10,000 players; and 15 games, which will grow for sure. Score can be as low as 0, and as high as 1,000,000 (not sure if higher is possible at this moment) for player in the game. So I really need some relative data. Any suggestions? I am planning to do it with SQL, but may be just using it for key-value storage; anything -- any ideas are welcome. Thank you!

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  • StreamReader ReadToEnd() after HttpWebRequest EndGetResponse() - most scalable?

    - by frankadelic
    I am calling a RESTful web service in the back-end of some ASP.NET pages. I am using ASP.NET asynchronous pages, so under the hood I am using the methods: HttpWebRequest BeginGetResponse() and HttpWebRequest EndGetResponse() The response string in my case is always a JSON string. I use the following code to read the entire string: using (StreamReader sr = new StreamReader(myHttpWebResponse.GetResponseStream())) { myObject.JSONData = sr.ReadToEnd(); } Is this method OK in terms of scalability? I have seen other code samples that instead retrieve the response data in blocks using Read(). My primary goal is scalability, so this back-end call can be made across many concurrent page hits. Thanks, Frank

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  • Scalable Ticketing / Festival Website

    - by Luke Lowrey
    I've noticed major music festivals (at least in Australia) and other events that experience a peak in traffic when tickets go on sale have huge problems keeping their websites running well. I've seen a few different techniques used to try combat this such as short sessions and virtual queues but they dont seem to have much effect. If you were to design a website to sell a lot of tickets in a short amount of time how would you handle scalability? What technologies and programming techniques would you use?

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  • recommendations for rich scalable internet application

    - by Wouter Roux
    I am planning to develop a web application that must perform the following actions: User authentication allow authenticated user to download data from USB device (roughly 5 meg data) upload the data from the USB device to processing server process the data and display the results to the user further requirements/restrictions: the USB driver supports windows (2000, XP, Vista, 7) the application must support IE, Firefox and Chrome the USB driver must be installed when pointing to the web application the first time the USB driver exposes functionality through exported functions in dll scalability and eye candy is important server details: Windows Server 2008 Enterprise x64, IIS 7.0, SQL server 2008 With the limited details specified: What technology would you recommend? (eg silverlight/asp.net mvc/wcf). What practices/patterns/3rd party controls would you recommend?

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  • Building highly scalable web services

    - by christopher-mccann
    My team and I are in the middle of developing an application which needs to be able to handle pretty heavy traffic. Not facebook level but in the future I would like to be able to scale to that without massive code re-writes. My thought was to modularise out everything into seperate services with their own interfaces. So for example messaging would have a messaging interface that might have send and getMessages() as methods and then the PHP web app would simply query this interface through soap or curl or something like that. The messaging application could then be any kind of application so a Java application or Python or whatever was suitable for that particular functionality with its own seperate database shard. Is this a good approach?

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  • Commercial web application--scalable database design

    - by Rob Campbell
    I'm designing a set of web apps to track scientific laboratory data. Each laboratory has several members, each of whom will access both their own data and that of their laboratory as a whole. Many typical queries will thus be expected to return records of multiple members (e.g. my mouse, joe's mouse and sally's mouse). I think I have the database fairly well normalized. I'm now wondering how to ensure that users can efficiently access both their own data and their lab's data set when it is mixed among (hopefully) a whole ton of records from other labs. What I've come up with so far is that most tables will end with two fields: user_id and labgroup_id. The WHERE clause of any SELECT statement will include the appropriate reference to one of the id fields ("...WHERE 'labroup_id=n..." or "...WHERE user_id=n..."). My questions are: Is this an approach that will scale to 10^6 or more records? If so, what's the best way to use these fields in a query so that it most efficiently searches the relevant subset of the database? e.g. Should the first step in querying be to create a temporary table containing just the labgroup's data? Or will indexing using some combination of the id, user_id, and labroup_id fields be sufficient at that scale? I thank any responders very much in advance.

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  • Implementing a scalable and high-performing web app

    - by Christopher McCann
    I have asked a few questions on here before about various things relating to this but this is more of a consolidation question as I would like to check I have got the gist of everything. I am in the middle of developing a social media web app and although I have a lot of experience coding in Java and in PHP I am trying things a bit different this time. I have modularised each component of the application. So for example one component of the application allows users to private message each other and I have split this off into its own private messaging service. I have also created a user data service the purpose of which is to return data about the user for example their name, address, age etc etc from the database. Their is also another service, the friends service, which will work off the neo4j database to create a social graph. My reason for doing all this is to allow me up to update seperate modules when I need to - so while they mostly all run off MySQL right now I could move one to Cassandra later if I thought it approriate. The actual code of the web app is really just used for the final construction. The modules behind it dont really follow any strict REST or SOAP protocol. Basically each method on our API is turned into a PHP procedural script. This then may make calls to other back-end code which tends to be OO. The web app makes CURL requests to these pages and POSTs data to them or GETs data from them. These pages then return JSON where data is required. I'm still a little mixed up about how I actually identify which user is logged in at that moment. Do I just use sessions for that? Like if we called the get-messages.php script which equates to the getMessages() method for that user - returning all the private messages for that user - how would the back-end code know which user it is as posting the users ID to the script would not be secure. Anyone could do that and get all the messages. So I thought I would use sessions for it. Am I correct on this? Can anyone spot any other problems with what I am doing here? Thanks

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  • Scalable Database Tagging Schema

    - by Longpoke
    EDIT: To people building tagging systems. Don't read this. It is not what you are looking for. I asked this when I wasn't aware that RDBMS all have their own optimization methods, just use a simple many to many scheme. I have a posting system that has millions of posts. Each post can have an infinite number of tags associated with it. Users can create tags which have notes, date created, owner, etc. A tag is almost like a post itself, because people can post notes about the tag. Each tag association has an owner and date, so we can see who added the tag and when. My question is how can I implement this? It has to be fast searching posts by tag, or tags by post. Also, users can add tags to posts by typing the name into a field, kind of like the google search bar, it has to fill in the rest of the tag name for you. I have 3 solutions at the moment, but not sure which is the best, or if there is a better way. Note that I'm not showing the layout of notes since it will be trivial once I get a proper solution for tags. Method 1. Linked list tagId in post points to a linked list in tag_assoc, the application must traverse the list until flink=0 post: id, content, ownerId, date, tagId, notesId tag_assoc: id, tagId, ownerId, flink tag: id, name, notesId Method 2. Denormalization tags is simply a VARCHAR or TEXT field containing a tab delimited array of tagId:ownerId. It cannot be a fixed size. post: id, content, ownerId, date, tags, notesId tag: id, name, notesId Method 3. Toxi (from: http://www.pui.ch/phred/archives/2005/04/tags-database-schemas.html, also same thing here: http://stackoverflow.com/questions/20856/how-do-you-recommend-implementing-tags-or-tagging) post: id, content, ownerId, date, notesId tag_assoc: ownerId, tagId, postId tag: id, name, notesId Method 3 raises the question, how fast will it be to iterate through every single row in tag_assoc? Methods 1 and 2 should be fast for returning tags by post, but for posts by tag, another lookup table must be made. The last thing I have to worry about is optimizing searching tags by name, I have not worked that out yet. I made an ASCII diagram here: http://pastebin.com/f1c4e0e53

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  • Which is more robust and scalable method?

    - by Dhruv Arya
    I am implementing a distributed chat system, in this system we have the following options : Make the client and server running at each node run as separate threads. The server acting as the receiver will be running as the daemon thread and the client taking the user input as a normal thread. Fork two processes one for the client and one for the server. I am not able to reason out with which one to proceed. Any insight would be great !

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  • Scalable (half-million files) version control system

    - by hashable
    We use SVN for our source-code revision control and are experimenting using it for non-source-code files. We are working with a large set (300-500k) of short (1-4kB) text files that will be updated on a regular basis and need to version control it. We tried using SVN in flat-file mode and it is struggling to handle the first commit (500k files checked in) taking about 36 hours. On a daily basis, we need the system to be able to handle 10k modified files per commit transaction in a short time (<5 min). My questions: Is SVN the right solution for my purpose. The initial speed seems too slow for practical use. If Yes, is there a particular svn server implementation that is fast? (We are currently using the gnu/linux default svn server and command line client.) If No, what are the best f/oss/commercial alternatives Thanks

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  • Scalable way of doing self join with many to many table

    - by johnathan
    I have a table structure like the following: user id name profile_stat id name profile_stat_value id name user_profile user_id profile_stat_id profile_stat_value_id My question is: How do I evaluate a query where I want to find all users with profile_stat_id and profile_stat_value_id for many stats? I've tried doing an inner self join, but that quickly gets crazy when searching for many stats. I've also tried doing a count on the actual user_profile table, and that's much better, but still slow. Is there some magic I'm missing? I have about 10 million rows in the user_profile table and want the query to take no longer than a few seconds. Is that possible?

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  • Is ajax + comet + asp.net scalable ?

    - by pixel3cs
    Thinks at a backgammon online multiplayer game with over 100, or even 1000 online users. The game communication is done using Ajax + 3 seconds Comet connection interval + ASP.NET technology. Is this a real scenario ? Didn't so many Comet open connections block the server resulting in big latency ?

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  • Developing a high-performance, scalable Comet application

    - by Rob
    Well, the title says most of it. I'm looking to develop a chat application that will hopefully become something more, and currently I'm considering my options for what I should build it on top of. I've taken a look at Tornado with Redis as my primary option - Tornado, being a Comet server, is perfect for long polling to retrieve the messages on Redis, which I have the intention of using as both a persistent data store, as well as a message queue with its nifty subpub features. However, I've also heard good things about Django, RabbitMQ, MongoDB and Orbited. JavaScript isn't a big problem for me, so Orbited's JavaScript support isn't too much of a boon. Really, I'd probably be happy to develop on the route I've chosen for myself, but if there are any gaping deficiencies in my plan, I'd like some kind person to point them out before I find I've wasted months on this.

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  • Scalable way to store files on server (PHP)?

    - by Nathaniel Bennett
    I'm creating my first web application - a really simplistic online text editor. What I need to do is find the best way to store text based files - a lot of them. These text files can be past 10,000 words in size (text words not computer words.) in essence I want the text documents to be limitless in size. I was thinking about storing the text files in my MySQL database - but thought there was a better way. Instead I'm planing on storing the text files in XML based format in a directory on my server. The rows in the database define the name of the xml based text file and the user who created the text along with basic metadata. An ID is generated using a V4 GUID generator , which gives the text an id and stores the text in the "/store" directory on my server. The text definitions in my server contain this id, and the android app I'm developing gets the contents of the text file by retrieving the text definition and then downloading the text to the local device using the GUID in the text definition. I just think this is a botch job? how can I improve this system? There has been cases of GUID colliding. I don't want this to happen. A "slim" possibility isn't good enough - I need to make sure there is absolutely no chance in a GUID collision. I was planning on checking the database for texts that have the same id before storing the text with a particular id - I however believe with over 20,000 pieces of text in my database this would take an long time and produce unneeded stress on the server. How can I make GUID safe? What happens when a GUID collides? The server backend is going to be written in PHP.

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  • Scalable stl set like container for C++

    - by Pqr
    Hi, I need to store large number of integers. There can be duplicates in the input stream of integers, I just need to store distinct amongst them. I was using stl set initially but It went OutOfMem when input number of integers went too high. I am looking for some C++ container library which would allow me to store numbers with the said requirement possibly backed by file i.e container should not try to keep all numbers in-mem. I don't need to store this data persistently, I just need to find unique values amongst it.

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  • PHP framework question

    - by iconiK
    I'm currently working on a browser-based MMO and have chosen the LAMP stack because of the extremely low cost to start with in production (versus Windows + IIS + ASP.NET/C# + SQL Server, even though I have MSDN Universal). However I will need a PHP framework for this as it's no easy task. I am not restricted by anything other than the ability to run on Linux, as I will use a dedicated cloud hosting solution (and a VMWare image for development) and can configure it as needed. In no specific order: It has to be easily scalable; this is crucial. If the game becomes a steady success it will eventually outgrow the server beyond what the host provides and would have to be moved to several load-balanced servers. It is crucial that this can be done with minimum effort. I do know this might require following strict conventions, so if you know of any for your suggested framework please explain what would be needed. It has to provide modules for all the core tasks: authentication, ACL, database access, MVC, and so on. One or two missing modules are fine, as long as they can easily be written and integrated. It should support internationalization. I think there is no excuse for any web framework not to provide means of translating the application and switching between languages without a lot of effort from the programmer. Must have very good community support and preferably commercial support as well. Yes, I do know QCodo/QCubed is so nice, but it is not mature enough for this task. Smooth AJAX support is required. Whether the framework comes with AJAX-capable widgets or has an easy way of adding AJAX is not relevant, as long as AJAX is easily doable. I plan to use jQuery + Dojo or one of them alone - not exactly sure. Auto-magically doing stuff when it improves readability and relieves a lot of effort would be especially nice if it is generally reliable and does not interfere with other requirements. This seems to be the case of CakePHP. I have read a lot of comparisons and I know it's a really hot debate. The general answer is "try and see for yourself what suits you". However, I can't say it is easy for this task and I'm calling for your experience with building applications with similar requirements. So far I'm tied up between Zend and CakePHP by the general criteria, however, all well-known frameworks offer the same functionality in some way or another with different approaches each with it's own advantages and disadvantages. Edits: I am kinda new to MVC, however, I am willing to learn it and I don't care if a framework is easier for those new to MVC. I have lots of time to learn MVC and any other architectures (or whatever they're called) you recommend. I will use Zend as a utility "framework", even though it's just a collection of libraries (some good ones though, as I have been told). Current PHP contenders are: CakePHP, Kohana, Zend alone.

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  • Apress Deal of the day - 23/Feb/2011 - Ultra-Fast ASP.NET: Building Ultra-Fast and Ultra-Scalable Websites Using ASP.NET and SQL Server

    - by TATWORTH
    Today's $10 deal of the day at http://www.apress.com/info/dailydeal  is Ultra-Fast ASP.NET: Building Ultra-Fast and Ultra-Scalable Websites Using ASP.NET and SQL Server by Richard Kessig - ISBN 978-1-4302-2383-2 I won a copy of this book at 101 Books. Richard Kessig is an all-star member of forums.asp.net - see http://forums.asp.net/members/RickNZ.aspx - this book has been on before as deal of the day. If you did not get a copy then, I suggest getting it today. " Ultra-Fast ASP.NET provides a practical guide to building extremely fast and scalable web sites using ASP.NET and SQL Server. It strikes a balance between imparting usable advice and backing that advice up with supporting background information. $49.99 | Published Nov 2009 | Rick Kiessig"

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  • Apress Deal of the day - 6/Feb/2011 - Ultra-Fast ASP.NET: Building Ultra-Fast and Ultra-Scalable Websites Using ASP.NET and SQL Server

    - by TATWORTH
    Today's $10 deal of the day at http://www.apress.com/info/dailydeal  is Ultra-Fast ASP.NET: Building Ultra-Fast and Ultra-Scalable Websites Using ASP.NET and SQL Server by Richard Kessig - ISBN 978-1-4302-2383-2 I won a copy of this book at 101 Books. Richard Kessig is an all-star member of forums.asp.net - see http://forums.asp.net/members/RickNZ.aspx " Ultra-Fast ASP.NET provides a practical guide to building extremely fast and scalable web sites using ASP.NET and SQL Server. It strikes a balance between imparting usable advice and backing that advice up with supporting background information. $49.99 | Published Nov 2009 | Rick Kiessig"

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  • Alternative to distributed caching

    - by Chen
    Hi, There is a technical requirement to scale a new system easily. This new system consists of three tiered applications (as a batch processors). Each tier will contains at least 2 servers with the same application resides on each server. So, when one of the tier reaches peak performance, we could extend the scalability easily by adding a new server and the same application to off-load some of the processing loads. The problem is that one or two of the three tiers require heavy caching (about 3 million records and increasing). I'm thinking of using distributed caching system to overcome this problem but the new distributed caching system will means an additional point of failure as applications now need to interact with additional caching systems for processing. I'm currently looking at ncache but just wondering if there is an alternatives to this problem? or is there any other comparable distributed caching system that maybe similar or better than ncache and provide enterprise supports too? Thanks, Chen

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  • How to design highly scalable web services in Java?

    - by Kshitiz Sharma
    I am creating some Web Services that would have 2000 concurrent users. The services are offered for free and are hence expected to get a large user base. In the future it may be required to scale up to 50,000 users. There are already a few other questions that address the issue like - Building highly scalable web services However my requirements differ from the question above. For example - My application does not have a user interface, so images, CSS, javascript are not an issue. It is in Java so suggestions like using HipHop to translate PHP to native code are useless. Hence I decided to ask my question separately. This is my project setup - Rest based Web services using Apache CXF Hibernate 3.0 (With relevant optimizations like lazy loading and custom HQL for tune up) Tomcat 6.0 MySql 5.5 My questions are - Are there alternatives to Mysql that offer better performance for what I'm trying to do? What are some general things to abide by in order to scale a Java based web application? I am thinking of putting my Application in two tomcat instances with httpd redirecting the request to appropriate tomcat on basis of load. Is this the right approach? Separate tomcat instances can help but then database becomes the bottleneck since both applications access the same database? I am a programmer not a Db Admin, how difficult would it be to cluster a Mysql database (or, to cluster whatever database offered as an alternative to 1)? How effective are caching solutions like EHCache? Any other general best practices? Some clarifications - Could you partition the data? Yes we could but we're trying to avoid it. We need to run a lot of data mining algorithms and the design would evolve over time so we can't be sure what lines of partition should be there.

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