Search Results

Search found 829 results on 34 pages for 'scalable'.

Page 2/34 | < Previous Page | 1 2 3 4 5 6 7 8 9 10 11 12  | Next Page >

  • Non-blocking I/O using Servlet 3.1: Scalable applications using Java EE 7 (TOTD #188)

    - by arungupta
    Servlet 3.0 allowed asynchronous request processing but only traditional I/O was permitted. This can restrict scalability of your applications. In a typical application, ServletInputStream is read in a while loop. public class TestServlet extends HttpServlet {    protected void doGet(HttpServletRequest request, HttpServletResponse response)         throws IOException, ServletException {     ServletInputStream input = request.getInputStream();       byte[] b = new byte[1024];       int len = -1;       while ((len = input.read(b)) != -1) {          . . .        }   }} If the incoming data is blocking or streamed slower than the server can read then the server thread is waiting for that data. The same can happen if the data is written to ServletOutputStream. This is resolved in Servet 3.1 (JSR 340, to be released as part Java EE 7) by adding event listeners - ReadListener and WriteListener interfaces. These are then registered using ServletInputStream.setReadListener and ServletOutputStream.setWriteListener. The listeners have callback methods that are invoked when the content is available to be read or can be written without blocking. The updated doGet in our case will look like: AsyncContext context = request.startAsync();ServletInputStream input = request.getInputStream();input.setReadListener(new MyReadListener(input, context)); Invoking setXXXListener methods indicate that non-blocking I/O is used instead of the traditional I/O. At most one ReadListener can be registered on ServletIntputStream and similarly at most one WriteListener can be registered on ServletOutputStream. ServletInputStream.isReady and ServletInputStream.isFinished are new methods to check the status of non-blocking I/O read. ServletOutputStream.canWrite is a new method to check if data can be written without blocking.  MyReadListener implementation looks like: @Overridepublic void onDataAvailable() { try { StringBuilder sb = new StringBuilder(); int len = -1; byte b[] = new byte[1024]; while (input.isReady() && (len = input.read(b)) != -1) { String data = new String(b, 0, len); System.out.println("--> " + data); } } catch (IOException ex) { Logger.getLogger(MyReadListener.class.getName()).log(Level.SEVERE, null, ex); }}@Overridepublic void onAllDataRead() { System.out.println("onAllDataRead"); context.complete();}@Overridepublic void onError(Throwable t) { t.printStackTrace(); context.complete();} This implementation has three callbacks: onDataAvailable callback method is called whenever data can be read without blocking onAllDataRead callback method is invoked data for the current request is completely read. onError callback is invoked if there is an error processing the request. Notice, context.complete() is called in onAllDataRead and onError to signal the completion of data read. For now, the first chunk of available data need to be read in the doGet or service method of the Servlet. Rest of the data can be read in a non-blocking way using ReadListener after that. This is going to get cleaned up where all data read can happen in ReadListener only. The sample explained above can be downloaded from here and works with GlassFish 4.0 build 64 and onwards. The slides and a complete re-run of What's new in Servlet 3.1: An Overview session at JavaOne is available here. Here are some more references for you: Java EE 7 Specification Status Servlet Specification Project JSR Expert Group Discussion Archive Servlet 3.1 Javadocs

    Read the article

  • The architecture and technologies to use for a secure, fast, reliable and easily scalable web application

    - by DSoul
    ^ For actual questions, skip to the lists down below I understand, that his is a vague topic, but please, before you turn the other way and disregard me, hear me out. I am currently doing research for a web application(I don't know if application is the correct word for it, but I will proceed w/ that for now), that one day might need to be everything mentioned in the title. I am bound by nothing. That means that every language, OS and framework is acceptable, but only if it proves it's usefulness. And if you are going to say, that scalability and speed depend on the code I write for this application, then I agree, but I am just trying to find something, that wouldn't stand in my way later on. I have done quite a bit reading on this subject, but I still don't have a clear picture, to what suits my needs, so I come to you, StackOverflow, to give me directions. I know you all must be wondering what I'm building, but I assure you, that it doesn't matter. I have heard of 12 factor app though, if you have any similar guidelines or what is, to suggest the please, go ahead. For the sake of keeping your answers as open as possible, I'm not gonna provide you my experience regarding anything written in this question. ^ Skippers, start here First off - the weights of the requirements are probably something like that (on a scale of 10): Security - 10 Speed - 5 Reliability (concurrency) - 7.5 Scalability - 10 Speed and concurrency are not a top priority, in the sense, that the program can be CPU intensive, and therefore slow, and only accept a not-that-high number of concurrent users, but both of these factors must be improvable by scaling the system Anyway, here are my questions: How many layers should the application have, so it would be future-proof and could best fulfill the aforementioned requirements? For now, what I have in mind is the most common version: Completely separated front end, that might be a web page or an MMI application or even both. Some middle-ware handling communication between the front and the back end. This is probably a server that communicates w/ the front end via HTTP. How the communication w/ the back end should be handled is probably dependent on the back end. The back end. Something that handles data through resources like DB and etc. and does various computations w/ the data. This, as the highest priority part of the software, must be easily spread to multiple computers later on and have no known security holes. I think ideally the middle-ware should send a request to a queue from where one of the back end processes takes this request, chops it up to smaller parts and buts these parts of the request back onto the same queue as the initial request, after what these parts will be then handled by other back end processes. Something *map-reduce*y, so to say. What frameworks, languages and etc. should these layers use? The technologies used here are not that important at this moment, you can ignore this part for now I've been pointed to node.js for this part. Do you guys know any better alternatives, or have any reasons why I should (not) use node.js for this particular job. I actually have no good idea, what to use for this job, there are too many options out there, so please direct me. This part (and the 2. one also, I think) depend a lot on the OS, so suggest any OSs alongside w/ the technologies/frameworks. Initially, all computers (or 1 for starters) hosting the back end are going to be virtual machines. Please do give suggestions to any part of the question, that you feel you have comprehensive knowledge and/or experience of. And also, point out if you feel that any part of the current set-up means an instant (or even distant) failure or if I missed a very important aspect to consider. I'm not looking for a definitive answer for how to achieve my goals, because there certainly isn't one, for I haven't provided you w/ all the required information. I'm just looking for recommendations and directions on what to look into. Also, bare in mind, that this isn't something that I have to get done quickly, to sell and let it be re-written by the new owner (which, I've been told for multiple times, is what I should aim for). I have all the time in the world and I really just want to learn doing something really high-end. Also, excuse me if my language isn't the best, I'm not a native. Anyway. Thanks in advance to anyone, who takes the time to help me out here. PS. When I do seem to come up w/ a good architecture/design for this project, I will certainly make it an open project and keep you guys up to date w/ it's development. As in what you could have told me earlier and etc. For obvious reasons the very same question got closed on SO, but could you guys still help me?.

    Read the article

  • LinkShare - A Customer Case of Highly Scalable BI and Analytics for E-Commerce Marketing

    LinkShare is one of the largest users of BI and Analytics for its innovative, E-commerce, Affiliate Marketing and Pay-per-Action services. It use OBIEE to gain insights into its own performance but also offers vast amounts of data and analytics to its customers on the performance of their marketing programs and campaigns. This session will highlight how creative firms can use BI to transform the products and services they provide to their customers and use BI as a competitive differentiator.

    Read the article

  • Developing high-performance and scalable zend framework website

    - by Daniel
    We are going to develop an ads website like http://www.gumtree.com/ (it will not be like this one but just to give you an ideea) and we are having some issues regarding performance and scalability. We are planning on using Zend Framework for this project but this is all that I'm sure off at this point. I don't think a classic approch like Zend Framework (PHP) + MySQL + Memcache + jQuery (and I would throw Doctrine 2 in there to) will fix result in a high-performance application. I was thinking on making this a RESTful application (with Zend Framework) + NGINX (or maybe MongoDB) + Memcache (or eAccelerator -- I understand this will create problems with scalability on multiple servers) + jQuery, a CDN for static content, a server for images and a scalable server for the requests and the rest. My questions are: - What do you think about my approch? - What solutions would you recommand in terms of servers approch (MySQL, NGINX, MongoDB or pgsql) for a scalable application expected to have a lot of traffic using PHP?...I would be interested in your approch. Note: I'm a Zend Framework developer and don't have to much experience with the servers part (to determin what would be best solution for my scalable application)

    Read the article

  • Scalable WordPress Host for High-Volume Site?

    - by Jonathan Eunice
    I need recommendations for a scalable web host for a high volume WordPress web site. For my purposes, high-volume might be 100K-500K visitors/hour. Might think towards a 1M/hour burst rate as a "high water mark." I know WP isn't the highest-performing platform out there (ha!), but it's non-negotiable. I can do "the usual optimizations" (e.g. put static files in a CDN, run and follow the advice of performance analyzers like YSlow, etc). But it will still be WordPress, and there will be a dozen or so plugins involved. So, where to host the site? Most "what's the best WordPress host?" discussions seem to focus on lowest-cost. I need the opposite. What are the high-volume, scalable, or clustered WordPress hosts with which you've had great experiences?

    Read the article

  • Developing high-performance and scalable zend framework website [on hold]

    - by Daniel
    We are going to develop an ads website like http://www.gumtree.com/ (it will not be like this one but just to give you an ideea) and we are having some issues regarding performance and scalability. We are planning on using Zend Framework for this project but this is all that I'm sure off at this point. I don't think a classic approch like Zend Framework (PHP) + MySQL + Memcache + jQuery (and I would throw Doctrine 2 in there to) will fix result in a high-performance application. I was thinking on making this a RESTful application (with Zend Framework) + NGINX (or maybe MongoDB) + Memcache (or eAccelerator -- I understand this will create problems with scalability on multiple servers) + jQuery or maybe throw Backbone.js in there, a CDN for static content, a server for images and a scalable server for the requests and the rest. My questions are: - What do you think about my approch? - What solutions would you recommand for developing an high performance, scalable application expected to have a lot of traffic using PHP(Zend Framework 2)...I would be interested in your approch. I should note that I'm a Zend developer, I'm working with Zend for over 3 years, this is why I'm choosing it.

    Read the article

  • Proven and Scalable Comet Server

    - by demetriusnunes
    What is the most proven, scalable comet server solution out there that can handle up to 100.000 real-life connections per node using HTTP streaming (not long-poll)? It must be a free, preferably open-source project. We've already tried Meteor (Perl), with no success. Meteor was able to scale just up to 20.000 connections per node. We are looking right now at these options: APE (C++), Orbited (Python), Grizzly (Glassfish), Cometd (Jetty). Any big success stories with any of these?

    Read the article

  • How to host a scalable social networking app

    - by christopher-mccann
    I am in the middle of developing a social networking application for a very select user niche which could scale to a few million users. Right now I have always hosted applications on RackSpace Cloud and I have no issues with them at all - always been a really good service and never had any downtime. My question is though does anyone think that cloud computing is not the way to host scalable web apps? Or can anyone with experience of this recommend a better solution. I have always shunned trying to run big servers from my own facilities as I think it seems silly to go to the expense of bringing in big alternative power supplies and all the other necessary precautions when other companies already do this. I looked at managed hosting services but this proved to be a bit too expensive for us at the start and the scalability of it wasnt good enough - it would take a day or two to get a new server provisioned. Therefore I ended up on a cloud platform. If anyone has any recommendations or advice it would be greatly appreciated.

    Read the article

  • Why is J2EE scalable?

    - by py213py
    I heard from various sources that J2EE is highly scalable, but to me it seems that you could never scale a J2EE application to the level of the google search engine or any other large website. I would like to hear the technical reasons why it is so scalable.

    Read the article

  • 'e-Commerce' scalable database model

    - by Ruben Trancoso
    I would like to understand database scalability so I've just heard a talk about Habits of Highly Scalable Web Applications http://techportal.ibuildings.com/2010/03/02/habits-of-highly-scalable-web-applications/ On it, the presenter mainly talk about relational database scalability. I also have read something about MapReduce and Column oriented tables, big tables, hypertable etc... trying to understand which are the most up to date methods to scale web application data. But the second group, to me, is being hard to understand where it fits. It serves as transactional, reliable data store? or not, its just for large access and processing and to handle fine graned operations we will ever need to rely on RDBMSs? Could someone give a comprehensive landscape for those new technologies and how to use it?

    Read the article

  • scalable yet doable small-medium office network

    - by Jared
    Hello, I'm studying up with both Microsoft and Cisco literature and I must say, my head is starting to get clustered up (pun intended). I've made a quick network diagram of a theoretical company... Company1 owns Company 2 and Company 3, which are all under separate rooms and networks, but must be able to share a few resources such as files or printers. Given the amount of info out there and best practices, I thought about posting here to get suggestions and see what would the pro's do. I can read and read all day and implement on my own, but if I dont get some outside input, how will I know if I'm doing something wrong, right? anyway, please take a look and see if this is an over-complicated network or a lackluster design for a small-medium company of about 35 people and lets say they will be double that number by end of the year... :) Using win2k3, esxi, windows xp. FCS - forefront client security, ACS - access control system, SPCWK - spiceworks, XCH - Exchange Im not allowed to post an image yet, so here's the link ---- GLIFFY IMAGE Flame suit is on just in case people get mad at me for making an "abomination". I'd really want to get the general overview properly before I dive into the more complicated things

    Read the article

  • Most scalable way of serving a small set of static HTTP content

    - by Ekevoo
    The story: Hi guys. I'm among the people responsible for serving the results of the most anticipated (by number of people participating) annual entrance exam in my state. As such, when our results are published, the interest is overwhelming. In the past we delegated the responsibility of serving the results to the media, but that spoils a little the officialness of these results. This year we went with a little (long overdue) experiment of using lighttpd instead of Apache as well as other physical network optimizations I wasn't directly involved with. The results were very satisfactory. The server didn't choke even once, nor we saw any of the usual Twitter complaints on unavailability and/or slowness that were previously common. However, because we still delegated the first publication of the results to the media I'm still not 100% sure we can handle the load of actually publishing the results first. The question: Now because these files are like 14MB in total and a true lightweight Linux distribution isn't that big either, I'm thinking: what if next year we run full RAMdrive? Is there any? Is that useful? Is that worth it for a team that uses Debian almost exclusively? Are there other optimizations that I should be focusing on instead?

    Read the article

  • Using NFS for scalable PHP/MySQL web application

    - by Jeroen Moons
    Here's the situation: I have a PHP/MySQL web application that accepts user uploads (pdf files). From these pdf files' pages a preview image is made on the fly and presented to the web app's users. Some pdfs might be on the large side, most will be under 50 MB but some extreme cases could be as large as a few hundred MB. A little waiting for the preview image for large pdf files is acceptable but no more than a minute let's say. Everything is running on one server for now, but soon the app will hit the server's limit on both storage and processing power. My idea to solve the problem: To deal with this situation I had the idea of having one or more pdf processing servers as needed, and one or more file storage servers. These two types of servers are mounted to the server on which the actual app runs using NFS. The app could then use GearMan to delegate pdf processing tasks to these processing servers. The processing server can mount the storage server and read the file stored there, process it and write its output to that server. The servers I'm talking about will be amazon ec2 instances. The web app returns a link to the resulting pdf preview image on the storage server that was used which can then be used on the front end to show the image to the user. My question: I have zero experience with apps that use multiple servers, is this idea viable or is there a better way to do it? Is an NFS setup fast and reliable enough for this situation?

    Read the article

  • Highly robust and scalable search server needed for managing and analyze files

    - by ChrisBenyamin
    Hi everybody, I am looking for a professional search server system with functionality, like e.g. solr http://lucene.apache.org/solr/ holds. Place of action should be a centralized location, whereon many hosts would request data. Furthermore the system should be extensible for implementing statistical procedures. (e.g. a kind of heatmap (or common diagrams) of a (or more) file(s) (which has a guid), that is spread on different hosts.) This software doesn't have to be opensource. thanks. chris

    Read the article

  • Managing hosts and iptables in scalable architecture

    - by hakunin
    Let's say I have a load balancer in front of 3 app servers. Let's say I also have these services available at certain IPs: Postgres server Redis server ElasticSearch server Memcached server 1 Memcached server 2 Memcached server 3 So that's 6 nodes at 6 different IP addresses. Naturally, every one of my 3 app servers needs to talk to these 6 servers above. Then, to make it a bit funkier, I also have 3 worker servers. And each worker also talks to the above 6 servers, but thankfully workers and apps never need to talk to each other. Now's the kicker. Everything is on Digital Ocean VPS. What that means is: you have no private network, no private IPs. You only have separate, random IP address on each machine. You can't mask them or anything. So in order to build a secure environment I would have to configure some iptables. For example: Open app servers be accessed by load balancer server Open redis, ES, PG, and each memcached servers to be accessed by each app's IP and each worker's IP This means that every time I add an app or worker I have to also reconfigure iptables in those above 6 servers to welcome the new app or worker. Is there a way to simplify this type of setup? I was thinking — what if there was a gateway machine between apps/workers and the above 6 machines. This way all the interaction would always happen via the gateway server, and when I add a new app or worker I wouldn't need to teach the 6 servers to let it in. If I went this route, then I'd hope a small 512mb server could handle that perhaps, and there wouldn't be almost any overhead. Or would there? Please help with best way to handle this situation. I would appreciate an answer as concrete as possible. I don't think this is too specific, because this general architecture is very common, and Digital Ocean is becoming increasingly popular. A concrete solution here would be much appreciated by many.

    Read the article

  • Scalable / Parallel Large Graph Analysis Library?

    - by Joel Hoff
    I am looking for good recommendations for scalable and/or parallel large graph analysis libraries in various languages. The problems I am working on involve significant computational analysis of graphs/networks with 1-100 million nodes and 10 million to 1+ billion edges. The largest SMP computer I am using has 256 GB memory, but I also have access to an HPC cluster with 1000 cores, 2 TB aggregate memory, and MPI for communication. I am primarily looking for scalable, high-performance graph libraries that could be used in either single or multi-threaded scenarios, but parallel analysis libraries based on MPI or a similar protocol for communication and/or distributed memory are also of interest for high-end problems. Target programming languages include C++, C, Java, and Python. My research to-date has come up with the following possible solutions for these languages: C++ -- The most viable solutions appear to be the Boost Graph Library and Parallel Boost Graph Library. I have looked briefly at MTGL, but it is currently slanted more toward massively multithreaded hardware architectures like the Cray XMT. C - igraph and SNAP (Small-world Network Analysis and Partitioning); latter uses OpenMP for parallelism on SMP systems. Java - I have found no parallel libraries here yet, but JGraphT and perhaps JUNG are leading contenders in the non-parallel space. Python - igraph and NetworkX look like the most solid options, though neither is parallel. There used to be Python bindings for BGL, but these are now unsupported; last release in 2005 looks stale now. Other topics here on SO that I've looked at have discussed graph libraries in C++, Java, Python, and other languages. However, none of these topics focused significantly on scalability. Does anyone have recommendations they can offer based on experience with any of the above or other library packages when applied to large graph analysis problems? Performance, scalability, and code stability/maturity are my primary concerns. Most of the specialized algorithms will be developed by my team with the exception of any graph-oriented parallel communication or distributed memory frameworks (where the graph state is distributed across a cluster).

    Read the article

  • Scalable Full Text Search With Per User Result Ordering

    - by jeremy
    What options exist for creating a scalable, full text search with results that need to be sorted on a per user basis? This is for PHP/MySQL (Symfony/Doctrine as well, if relevant). In our case, we have a database of workouts that have been performed by users. The workouts that the user has done before should appear at the top of the results. The more frequently they've done the workout, the higher it should appear in search matches. If it helps, you can assume we know the number of times a user has done a workout in advance. Possible Solutions Sphinx - Use Sphinx to implement full text search, do all the querying and sorting in MySQL. This seems promising (and there's a Symfony Plugin!) but I don't know much about it. Lucene - Use Lucene to perform full text search and put the users' completions into the query. As is suggested in this Stack Overflow thread. Alternatively, use Lucene to retrieve the results, then reorder them in PHP. However, both solutions seem clunky and potentially unscalable as a user may have completed hundreds of workouts. Mysql - No native full text support (InnoDB), so we'd have use LIKE or REGEX, which isn't scalable.

    Read the article

  • Scalable chat site in python

    - by user346572
    Hey guys, I have an idea that I'd like to start implementing that at the crux of it, will basically be a chat website, and will need to support multiple rooms. Quite frankly, I'm not too sure where to begin with regards to setting up a very sturdy/scalable chat system in python (or another language if you guys believe it to be a better alternative), so any suggestions that can get me pointed in the right direction will be greatly appreciated.

    Read the article

  • scalable background image of popup. html, css

    - by Mayur
    Hi All, I'm getting a problem in html and css, I used a bg image for my popup window whose size is 500px width and 400px height; having a scrollable text in it. but problem is that if i reduce a size of browser it get distorted. Please help me if i can make it scalable background and according to that text as per browser size. Thanks Mayur Mate

    Read the article

  • Canvas scalable arc position

    - by Amay
    http://jsfiddle.net/cs5Sg/11/ I want to do the scalable canvas. I created two circles (arcs) and one line, when you click on circle and move it, the line will follow and change position. The problem is when I added code for resize: var canvas = document.getElementById('myCanvas'), context = canvas.getContext('2d'), radius = 12, p = null, point = { p1: { x:100, y:250 }, p2: { x:400, y:100 } }, moving = false; window.addEventListener("resize", OnResizeCalled, false); function OnResizeCalled() { var gameWidth = window.innerWidth; var gameHeight = window.innerHeight; var scaleToFitX = gameWidth / 800; var scaleToFitY = gameHeight / 480; var currentScreenRatio = gameWidth / gameHeight; var optimalRatio = Math.min(scaleToFitX, scaleToFitY); if (currentScreenRatio >= 1.77 && currentScreenRatio <= 1.79) { canvas.style.width = gameWidth + "px"; canvas.style.height = gameHeight + "px"; } else { canvas.style.width = 800 * optimalRatio + "px"; canvas.style.height = 480 * optimalRatio + "px"; } } function init() { return setInterval(draw, 10); } canvas.addEventListener('mousedown', function(e) { for (p in point) { var mouseX = e.clientX - 1, mouseY = e.clientY - 1, distance = Math.sqrt(Math.pow(mouseX - point[p].x, 2) + Math.pow(mouseY - point[p].y, 2)); if (distance <= radius) { moving = p; break; } } }); canvas.addEventListener('mouseup', function(e) { moving = false; }); canvas.addEventListener('mousemove', function(e) { if(moving) { point[moving].x = e.clientX - 1; point[moving].y = e.clientY - 1; } }); function draw() { context.clearRect(0, 0, canvas.width, canvas.height); context.beginPath(); context.moveTo(point.p1.x,point.p1.y); context.lineTo(point.p2.x,point.p2.y); context.closePath(); context.fillStyle = '#8ED6FF'; context.fill(); context.stroke(); for (p in point) { context.beginPath(); context.arc(point[p].x,point[p].y,radius,0,2*Math.PI); context.fillStyle = 'red'; context.fill(); context.stroke(); } context.closePath(); } init(); The canvas is scalable, but the problem is with the points (circles). When you change the window size, they still have the same position on the canvas area, but the distance change (so the click option fails). How to fix that?

    Read the article

  • Scalable images in Java

    - by CodeGuy
    I anticipate using some images in my Java application. These images will be drawn onto my JPanel using g.drawImage(). The JPanel is resizable and the images should scale as the JPanel increases/decreases in size Two questions: What image format is best for this type of desired scalable image? For instance, in this application, an image of size 100x100 may be scaled into an image of size 30x30 or 10x10 or 300x300. How can I write code to do this scaling?

    Read the article

  • what are the various approaches for generating PDFs?

    - by andthereitgoes
    I have an idea for an app that would take some flash content which contains graphics and images like various geometric shapes and polygons and some random images and convert them to PDF. Also, since I envision this app to be used my multiple users I want this process to be quick and scalable. One possible solution I could think of is have a small flash client with the capability of assembling the above mentioned graphics and images. Generate some sort of XML, send it to a server running a Java process which could render the PDF using iText. I was wondering what are the other possible ways to do it or the best practices. Technology isn't an issue; open source or commercial. I am looking for ideas to make the process fast and scalable. Most importantly, I don't want the back end server side PDF render engine to constraint the flash client capabilities. I would appreciate if you could share your tech stack idea. Thanks a lot!

    Read the article

  • Delivering activity feed items in a moderately scalable way

    - by sotangochips
    The application I'm working on has an activity feed where each user can see their friends' activity (much like Facebook). I'm looking for a moderately scalable way to show a given users' activity stream on the fly. I say 'moderately' because I'm looking to do this with just a database (Postgresql) and maybe memcached. For instance, I want this solution to scale to 200k users each with 100 friends. Currently, there is a master activity table that stores the rendered html for the given activity (Jim added a friend, George installed an application, etc.). This master activity table keeps the source user, the html, and a timestamp. Then, there's a separate ('join') table that simply keeps a pointer to the person who should see this activity in their friend feed, and a pointer to the object in the main activity table. So, if I have 100 friends, and I do 3 activities, then the join table will then grow to 300 items. Clearly this table will grow very quickly. It has the nice property, though, that fetching activity to show to a user takes a single (relatively) inexpensive query. The other option is to just keep the main activity table and query it by saying something like: select * from activity where source_user in (1, 2, 44, 2423, ... my friend list) This has the disadvantage that you're querying for users who may never be active, and as your friend list grows, this query can get slower and slower. I see the pros and the cons of both sides, but I'm wondering if some SO folks might help me weigh the options and suggest one way or they other. I'm also open to other solutions, though I'd like to keep it simple and not install something like CouchDB, etc. Many thanks!

    Read the article

  • Rails - Scalable calculation model

    - by H O
    I currently have a calculation structure in my rails app that has models metric, operand and operation_type. Presently, the metric model has many operands, and can perform calculations based on the operation_type (e.g. sum, multiply, etc.), and each operand is defined as being right or left (i.e. so that if the operation is division, the numerator and denominator can be identified). Presently, an operand is always an attribute of some model, e.g. @customer.sales.selling_price.sum. In order to make this scalable, in need to allow an operand to be either an attribute of some kind, or the results of a previous operation, i.e. an operand can be a metric. I have included a diagram of how my models currently look: Can anyone assist me with the most elegant way of allowing an operand to be an actual operand, or another metric? Thanks! EDIT: It seems based on the only answer so far that perhaps polymorphic associations are the way to go on this, but the answer is so brief I have no idea how they could be used in this way - can anyone elaborate? EDIT 2: OK, I think I'm getting somewhere - essentially i presently have a metric, which has_many operands, and an operand has_many metrics. I need a polymorphic self join, where a metric can also have many metrics - do I need to call this something else, perhaps calculated_metrics, so that the metric model can use itself? That would leave me with a situation where a metric has_many operands, and a metric has many calculated_metrics.

    Read the article

< Previous Page | 1 2 3 4 5 6 7 8 9 10 11 12  | Next Page >