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  • New database profiling support in ANTS Performance Profiler

    - by Ben Emmett
    In May last year, the ANTS Performance Profiler team added the ability to profile database requests your application makes to SQL Server or Oracle. The really cool thing is that you’re shown those requests in the application’s call tree, so you can see what .NET code caused those queries to run. It’s particularly helpful if you’re using an ORM which automagically generates and runs queries for you, but which doesn’t necessarily do it in the most efficient way possible. Now by popular demand, we’ve added support for profiling MySQL (or MariaDB) and PostgreSQL, so you can see queries run against those databases too. Some of you have also said that you’re using the Devart dotConnect data providers instead of the native .NET ones, so we’ve added support for those drivers too. Hope it helps! For the record, here’s a list of supported connectors (ones in bold are new): SQL Server .NET Framework Data Provider Devart dotConnect for SQL Server Oracle .NET Framework Data Provider Oracle Data Provider for .NET Devart dotConnect for Oracle MySQL / MariaDB MySQL Connector/Net Devart dotConnect for MySQL PostgreSQL Npgsql .NET Data Provider for PostgreSQL Devart dotConnect for PostgreSQL SQL Server Compact Edition .NET Framework Data Provider for SQL Server Compact Edition Devart dotConnect for SQL Server Pro Have we missed a connector or database which you’d find useful? Tell us about it in the comments or by emailing [email protected]. Ben

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  • How to interpret number of URL errors in Google webmaster tools

    - by user359650
    Recently Google has made some changes to Webmaster tools which are explained below: http://googlewebmastercentral.blogspot.com/2012/03/crawl-errors-next-generation.html One thing I could not find out is how to interpret the number of errors over time. At the end of February we've recently migrated our website and didn't implement redirect rules for some pages (quite a few actually). Here is what we're getting from the Crawl errors: What I don't know is if the number of errors is cumulative over time or not (i.e. if Google bots crawl your website on 2 different days and find 1 separate issue on each day, whether they will report 1 error for each day, or 1 for the 1st, and 2 for the 2nd). Based on the Crawl stats we can see that the number of requests made by Google bots doesn't increase: Therefore I believe the number of errors reported is cumulative and that an error detected on 1 day is taken into account and reported on the subsequent days until the underlying problem is fixed and the page it's crawled again (or if you manually Mark as fixed the error) because if you don't make more requests to a website, there is no way you can check new pages and old pages at the same time. Q: Am I interpreting the number of errors correctly?

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  • DAO/Webservice Consumption in Web Application

    - by Gavin
    I am currently working on converting a "legacy" web-based (Coldfusion) application from single data source (MSSQL database) to multi-tier OOP. In my current system there is a read/write database with all the usual stuff and additional "read-only" databases that are exported daily/hourly from an Enterprise Resource Planning (ERP) system by SSIS jobs with business product/item and manufacturing/SCM planning data. The reason I have the opportunity and need to convert to multi-tier OOP is a newer more modern ERP system is being implemented business wide that will be a complete replacement. This newer ERP system offers several interfaces for third party applications like mine, from direct SQL access to either a dotNet web-service or a SOAP-like web-service. I have found several suitable frameworks I would be happy to use (Coldspring, FW/1) but I am not sure what design patterns apply to my data access object/component and how to manage the connection/session tokens, with this background, my question has the following three parts: Firstly I have concerns with moving from the relative safety of a SSIS job that protects me from downtime and speed of the ERP system to directly connecting with one of the web services which I note seem significantly slower than I expected (simple/small requests often take up to a whole second). Are there any design patterns I can investigate/use to cache/protect my data tier? It is my understanding data access objects (the component that connects directly with the web services and convert them into the data types I can then work with in my Domain Objects) should be singletons (and will act as an Adapter/Facade), am I correct? As part of the data access object I have to setup a connection by username/password (I could set up multiple users and/or connect multiple times with this) which responds with a session token that needs to be provided on every subsequent request. Do I do this once and share it across the whole application, do I setup a new "connection" for every user of my application and keep the token in their session scope (might quickly hit licensing limits), do I set the "connection" up per page request, or is there a design pattern I am missing that can manage multiple "connections" where a requests/access uses the first free "connection"? It is worth noting if the ERP system dies I will need to reset/invalidate all the connections and start from scratch, and depending on which web-service I use might need manually close the "connection/session"

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  • Design pattern for client/server sessions?

    - by nonot1
    Are there any common patterns or general guidance I can learn from for how to design a client/server system where the both the client and server must maintain some kind per-client session state? I've found any number of libraries that can help with some of the plumbing, but it's the overall design I'm wondering about. Open issues in my mind: How to structure the client/server communication so that bidirectional synchronous and asynchronous requests are possible? The server side needs to spawn a couple of per-connected-client session-long helper process. How to manage that? How to manage the mapping from a given client (and any of it's requests) to server state and helper process instances in the face of multiple clients and intermittent network connectivity. Most communication can be simple blocking request/reply, but some will be long running processing tasks that the client will want to keep tabs on. To the extent that it matters, the platform is Linux/C/C++. Not web based. Just an existing thick-client software app being modified to talk to backend servers for some tasks.

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  • The JavaServer Faces 2.2 viewAction Component

    - by Janice J. Heiss
    Life just got easier for users of JavaServer Faces. In a new article, now up on otn/java, titled “New JavaServer Faces 2.2 Feature: The viewAction Component,” Tom McGinn, Oracle’s Principal Curriculum Developer for Oracle Server Technologies, explores the advantages offered by the JavaServer Faces 2.2 view action feature, which, according to McGinn, “simplifies the process for performing conditional checks on initial and postback requests, enables control over which phase of the lifecycle an action is performed in, and enables both implicit and declarative navigation.”As McGinn observes: “A view action operates like a button command (UICommand) component. By default, it is executed during the Invoke Application phase in response to an initial request. However, as you'll see, view actions can be invoked during any phase of the lifecycle and, optionally, during postback, making view actions well suited to performing preview checks.”McGinn explains that the JavaServer Faces 2.2 view action feature offers several advantages over the previous method of performing evaluations before a page is rendered:   * View actions can be triggered early on, before a full component tree is built, resulting in a lighter weight call.   * View action timing can be controlled.   * View actions can be used in the same context as the GET request.   * View actions support both implicit and explicit navigation.   * View actions support both non-faces (initial) and faces (postback) requests.Read the complete article here.

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  • Authentication system brainstorm

    - by gansbrest
    Hi. We got multiple small websites (microsites) and one main high traffic one with big users base. Right now the requirement is to build authentication system which should allow users to loign with the same identity across the network. All website are running on different domains, powered by Drupal 6 CMS and have separate databases (so sharing tables with prefix is not an option + it creates a huge mess in the db). Here is the set of core requirements I came up with: Users should be able to login with the same credentials to all sites within the network User’s data sharing between Main site (storage) and all micro sites within the network Data synchronization across the network when user changes the data (update email or password for example) The login/registration process should be seamless and consistent Register on any of the sites across the network and use that identity to login later on. In the future there might be a need to add openid authentication options. Basically we are looking at something similar stackexchange does, but not sure if they have central users base on not. I was thinking about custom solution which will include 2 parts (modules), one will be stored on the Main site for users data storing and responding to requests from clients. Second part (module) will be placed on each microsite, which is going to send requests to the Master. Some kind of client - server setup. One of the complications I see right away is #3. Data Synhcronization across the network. I just don't want to reinvent the wheel and maybe some work is already done in this direction. Looking forward to your ideas on how to approach this project. EDIT: We use MySQL database

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  • Issue tracking multiple domains with Google Analytics

    - by user359650
    I have 2 domains mydomain.com and mydomain.net which I'm trying to track with the same GA code. Here are the options I turned on: Subdomains of mydomain ON Examples: www.mydomain.com -and- apps.mydomain.com -and- store.mydomain.com Multiple top-level domains of mydomain ON Examples: mydomain.uk -and- mydomain.cn -and- mydomain.fr Which gave me the following code: _gaq.push(['_setAccount', 'UA-123456789-1']); _gaq.push(['_setDomainName', 'mydomain.com']); _gaq.push(['_setAllowLinker', true]); _gaq.push(['_trackPageview']); In this help page I read that _setDomainName must be changed for each domain which I did: -if you go to mydomain.net you get _gaq.push(['_setDomainName', 'mydomain.net']); -if you go to mydomain.com you get _gaq.push(['_setDomainName', 'mydomain.com']); When I generate traffic on both mydomain.dom and mydomain.net and watches GA push requests made with firebug I can see requests generated for both domains and the parameter called utmhn has the proper domain value (which matches that of _setDomainName and the browser address bar). However when I monitor the realtime statistics under Home->Real-Time->Overview I see pageviews for mydomain.net BUT NOT for mydomain.dom :( What am I missing to properly track both domains? PS: in the help page I mentioned they talk about setting up cross links which I didn't do for now as my understanding is that it shouldn't be needed to get what I'm trying to do to work. Also I want to mention that I do not have any tracking code for any of these 2 domains other than the one I mentioned.

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  • Oracle Traffic Director – download and check out new cool features in 11.1.1.7.0 by Frances Zhao

    - by JuergenKress
    As Oracle's strategic layer-7 software load balancer product, Oracle Traffic Direct is fast, reliable, secure, easy-to-use and scalable; that you can deploy as the reliable entry point for all TCP, HTTP and HTTPS traffic to application servers and web servers in your network. The latest release Oracle Traffic Director 11.1.1.7.0 is available for ExaLogic and Database Appliance! For download and details please visit the Traffic Director OTN website. It this release, we have introduced some major new functionality and improvements. Web application firewall. Oracle Traffic Director supports web application firewalls. A web application firewall (WAF) is a filter or server plugin that applies a set of rules, called rule sets, to an HTTP request. Using a web application firewall, users can inspect traffic and deny requests to protect back-end applications from CSRF vulnerabilities and common attacks such as cross-site scripting. WebSocket Connections. Oracle Traffic Director handles WebSocket connections by default. WebSocket connections are long-lived and allow support for live content, games in real-time, video chatting, and so on. Support for LDAP/T3 Load Balancing. Oracle Traffic Director now supports basic LDAP/T3 load balancing at layer 7, where requests are handled as generic TCP connections for traffic tunneling. It works in full-NAT mode. Please download and try it out. For more information, check out the data sheet and the documentation. For regular information become a member in the WebLogic Partner Community please visit: http://www.oracle.com/partners/goto/wls-emea ( OPN account required). If you need support with your account please contact the Oracle Partner Business Center. Blog Twitter LinkedIn Mix Forum Wiki Technorati Tags: traffic director,WebLogic Community,Oracle,OPN,Jürgen Kress

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  • Can Clojure's thread-based agents handle c10k performance?

    - by elliot42
    I'm writing a c10k-style service and am trying to evaluate Clojure's performance. Can Clojure agents handle this scale of concurrency with its thread-based agents? Other high performance systems seem to be moving towards async-IO/events/greenlets, albeit at a seemingly higher complexity cost. Suppose there are 10,000 clients connected, sending messages that should be appended to 1,000 local files--the Clojure service is trying to write to as many files in parallel as it can, while not letting any two separate requests mangle the same single file by writing at the same time. Clojure agents are extremely elegant conceptually--they would allow separate files to be written independently and asynchronously, while serializing (in the database sense) multiple requests to write to the same file. My understanding is that agents work by starting a thread for each operation (assume we are IO-bound and using send-off)--so in this case is it correct that it would start 1,000+ threads? Can current-day systems handle this number of threads efficiently? Most of them should be IO-bound and sleeping most of the time, but I presume there would still be a context-switching penalty that is theoretically higher than async-IO/event-based systems (e.g. Erlang, Go, node.js). If the Clojure solution can handle the performance, it seems like the most elegant thing to code. However if it can't handle the performance then something like Erlang or Go's lightweight processes might be preferable, since they are designed to have tens of thousands of them spawned at once, and are only moderately more complex to implement. Has anyone approached this problem in Clojure or compared to these other platforms? (Thanks for your thoughts!)

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  • How do you manage a complexity jump?

    - by glenatron
    It seems an infrequent but common experience that sometimes you're working on a project and suddenly something turns up unexpectedly, throws a massive spanner in the works and ramps up the complexity a whole lot. For example, I was working on an application that talked to SOAP services on various other machines. I whipped up a prototype that worked fine, then went on to develop a regular front end and generally get everything up and running in a nice, fairly simple and easy to follow fashion. It worked great until we started testing across a wider network and suddenly pages started timing out as the latency of the connections and the time required to perform calculations on remote machines resulted in timed out requests to the soap services. It turned out that we needed to change the architecture to spin requests out onto their own threads and cache the returned data so it could be updated progressively in the background rather than performing calculations on a request by request basis. The details of that scenario are not too important - indeed it's not a great example as it was quite forseeable and people who have written a lot of apps of this type for this type of environment might have anticipated it - except that it illustrates a way that one can start with a simple premise and model and suddenly have an escalation of complexity well into the development of the project. What strategies do you have for dealing with these types of functional changes whose need arises - often as a result of environmental factors rather than specification change - later on in the development process or as a result of testing? How do you balance between avoiding the premature optimisation/ YAGNI/ overengineering risks of designing a solution that mitigates against possible but not necessarily probable issues as opposed to developing a simpler and easier solution that is likely to be as effective but doesn't incorporate preparedness for every possible eventuality?

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  • Algorithm to reduce calls to mapping API

    - by aidan
    A random distribution of points lies on a map. This data lies behind an API, and I want to grab the complete set of points within a given bounding box. I can query the API with the bounding box and the API will return the set of points that fall within that box. The problem is that the API will limit the result set to 10 items, with no pagination and no indication if there are more points that have been omitted. So I made a recursive algorithm that takes a bounding box and requests the points that lie within it. If the result set is exactly 10 items, then I split the bounding box into four quadrants and recurse. It works fine but my question is this: if want to minimize the number of API calls, what is the optimal way to split the bounding box? Splitting it into quadrants was just an arbitrary decision. When there are a lot of points on the map, I have to drill down many levels before I start getting meaningful results. So I imagine it might be faster to split the box into, say, 9, 16, or more sections. But if I do that, then I eventually get to a point where a lot of requests are returning 0 results which isn't so efficient. Also, does the size of the limit on the results set affect the answer? (This is all assuming that I have no prior knowledge of nominal point density in the bounding box)

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  • Standard Network Tiers in a Distributed N-Tier System

    Distributed N-Tier client/server architecture allows for segments of an application to be broken up and distributed across multiple locations on a network.  Listed below are standard tiers in a Distributed N-Tier System. End-User Client Tier The End-User Client is responsible for sending and receiving requests from web servers and other applications servers and translating the responses so that the End-User can interpret the data effectively. The primary roles for this tier are to communicate with servers and translate server responses back to the end-user to interpret. Business-Specific Functions Validate Data Display Data Send Data to Webserver Web Server Tier The Web server tier processes new requests for information coming in from the HTTP and HTTPS ports. This primarily handles the generation of user interfaces and calls the application server when needed to access Data and business logic when needed. Business-specific functions Send Data to application server Format Data for Display Validate Data Application Server Tier The application server stores and executes predefined business logic that is applied to various pieces of data as the business determines. The processed data is then returned back to the Webserver. Additionally, this server directly calls the database to obtain and store any data used by the system Business-Specific Functions Validate Data Process Data Send Data to Database Server Database Server Tier The Database Server is responsible for storing and returning all data need by the calling applications. The primary role for this this server is storage. Data is stored as needed and can be recalled at any point later in time. Business-Specific Functions Insert Data Delete Data Return Data to Application Server

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  • Is realtime validation of username good or bad?

    - by iamserious
    I have a simple form for the user to sign up to my site; with email, username and password fields. We are now trying to implement an ajax validation so the user doesn't have to post the form to find out if the username is already taken. I can do this either on keyup event or on text blur event. My question is, which of these is really the best way to do? Keyup From the user POV, it would be good if the validation is done as and when they are typing, (on key up event) - of course, I am waiting for half a second to see if the user stops typing before firing off the request, and user can make any adjustments immediately. But this means I am sending way more requests than if I validated the username on Blur event. Blur The number of requests will be much lower when the validation is done on blur event, But this means the user has to actually go away from the textbox, look at the validation result, and if necessary go back to it to make any changes and repeat the whole process until he gets it right. I had a quick look at google, tumblr, twitter and no one actually does username validations on keyup events, (heck, tubmlr waits for the form to be posted) but I can swear I have seen keyup validations in a lot of places too. So, coming back to the question, will keyup validations be too many for server, is it an unnecessary overhead? or is it worth taking these hits to give user a better experience? ps: all my regex validations etc are already done on javascript and only when it passes all these other criteria does it send a request to server to check if a username already exists. (And the server is doing a select count(1) from user where username = '' - nothing substantial, but still enough to occupy some resource) pps: I'm on asp.net, MS SQL stack., if that matters.

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  • How to prevent duplicate data access methods that retrieve similar data?

    - by Ronald Wildenberg
    In almost every project I work on with a team, the same problem seems to creep in. Someone writes UI code that needs data and writes a data access method: AssetDto GetAssetById(int assetId) A week later someone else is working on another part of the application and also needs an AssetDto but now including 'approvers' and writes the following: AssetDto GetAssetWithApproversById(int assetId) A month later someone needs an asset but now including the 'questions' (or the 'owners' or the 'running requests', etc): AssetDto GetAssetWithQuestionsById(int assetId) AssetDto GetAssetWithOwnersById(int assetId) AssetDto GetAssetWithRunningRequestsById(int assetId) And it gets even worse when methods like GetAssetWithOwnerAndQuestionsById start to appear. You see the pattern that emerges: an object is attached to a large object graph and you need different parts of this graph in different locations. Of course, I'd like to prevent having a large number of methods that do almost the same. Is it simply a matter of team discipline or is there some pattern I can use to prevent this? In some cases it might make sense to have separate methods, i.e. getting an asset with running requests may be expensive so I do not want to include these all the time. How to handle such cases?

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  • How to Deal with an out of touch "Project manager"

    - by Joe
    This "manager" is 70+ yrs old and a math genius. We were tasked with creating a web application. He loves SQL and stored procedures. He first created this in MS access. For the web app I had to take his DB migrate to SQL server. His first thought was to have a master stored procedure with a WAITFOR Handling requests from users. I eventually talked him out of that and use asp.net mvc. Then eventually use the asp.net membership. Now the web app is a mostly handles requests from the pages that is passed to stored procedures. It is all stored procedure driven. The business logic as well. Now we are having an one open DB connection per user logged in plus 1. I use linq to sql to check 2 tables and return the values thats it period. So 25 users is a load. He complains why my code is bad cause his test driver stored procedure simulates over 100 users with no issue. What are the best arguments for not having the business logic not all in stored procedures?? How should I deal with this?? I am giving an abbreviated story of course. He is a genius part owner of the company all the other owners trust him because he is a genius. and quoting -"He gets things done. old school".

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  • Using mod_speling with multi-level htaccess and rewriterules

    - by michaelcgorman
    We recently switched formats for managing our 301s. For the most part, everything went well, but it seems to have stopped mod_speling from working properly. Here's what we changed: old /var/www/html/.htaccess: RewriteEngine on RewriteBase / # Change SHTML to HTML RewriteRule ^(.*)\.shtml$ $1.html [R=permanent,L] # Change PCF to HTML ('cause, you know, we probably have CMS users like that...) RewriteRule ^(.*)\.pcf$ $1.html [R=permanent,L] # Force WWW subdomain for all requests RewriteCond %{HTTP_HOST} !^www.example.edu$ [NC] RewriteRule ^(.*)$ http://www.example.edu/$1 [R,L] # User accounts are on sun.example.edu RedirectMatch ^/~(.*)$ http://sun.example.edu/~$1 # Remove index.html at the end of URLs RewriteCond %{REQUEST_URI} ^(.*/)index\.html$ [NC] RewriteRule . %1 [R=301,NE,L] Redirect 301 /academics/calendar2012-13.html http://www.example.edu/academics/calendar.html Redirect 301 /academics/departments/ http://www.example.edu/majors/ Redirect 301 /academics/Pre-Medical.pdf http://www.example.edu/academics/Pre-Medicine.pdf Redirect 301 ... new /var/www/html/.htaccess: RewriteEngine on RewriteBase / # Change SHTML to HTML RewriteRule ^(.*)\.shtml$ $1.html [R=permanent,L] # Change PCF to HTML ('cause, you know, we probably have CMS users like that...) RewriteRule ^(.*)\.pcf$ $1.html [R=permanent,L] # Force WWW subdomain for all requests RewriteCond %{HTTP_HOST} !^www.example.edu$ [NC] RewriteRule ^(.*)$ http://www.example.edu/$1 [R,L] # User accounts are on sun.example.edu RedirectMatch ^/~(.*)$ http://sun.example.edu/~$1 # Remove index.html at the end of URLs RewriteCond %{REQUEST_URI} ^(.*/)index\.html$ [NC] RewriteRule . %1 [R=301,NE,L] RewriteCond %{REQUEST_FILENAME} !-f RewriteCond %{REQUEST_FILENAME} !-d RewriteRule ^(.*) 404/$1 And then we added a new file at /var/www/html/404/.htaccess: RewriteEngine on RewriteBase /404 RewriteRule ^academics/calendar2012-13.html$ /academics/calendar.html [R=302,L] RewriteRule ^academics/departments/$ /majors/ [R=301,L] RewriteRule ^academics/Pre-Medical.pdf$ /academics/Pre-Medicine.pdf[R=301,L] RewriteRule ... I do have (Webmin-based) access to the httpd.conf (though we don't want to store all our 301s there, if possible). We're running Apache 2.2.15 on RHEL 6 on a server in our own data center. Like I said, the only problem we're seeing is that mod_speling isn't doing its magic anymore. The new format has so many advantages over the old that we really don't want to go back, but mod_speling is so nice to have that we'd also really like it to work if possible. Any ideas for how we might be able to fix mod_speling?

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  • Will new Twitter API 1.1 allow hashtag/tweet/trend queries without any authentication, i.e. for a client that does not use an user's account at all?

    - by P5music
    I see that, even not being logged in Twitter with an account, if I google hashtags or twitter accounts, twitter show them. I think it should be also possible to get those tweets programmatically but I do not know it for sure, so I ask for confirmation here, especially for the future with the new Twitter API resctrictions. I mean, will it be possible to get tweets from hashtags or accounts without logging in an user account, and so not wanting to access the user settings, subscriptions, etc (because I do not need it), thus not having to respect any token limit? I found these API 1.1 faqs, have I to be concerned? Will an application have to request user authorization just to make public API calls? When API v1.1 is released, user authorization (and access tokens) are required for all API 1.1 requests. In the weeks following release, some methods will require only application-based authentication for certain "userless" contexts. Will an application have to request user authorization just to make public API calls? When API v1.1 is released, user authorization (and access tokens) are required for all API 1.1 requests. In the weeks following release, some methods will require only application-based authentication for certain "userless" contexts. Will the Search API require authentication? The Search API is now part of the official REST API in version 1.1. In addition to serving results in a format consistent with other Tweet resources, usage will also require authentication.

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  • Doubt related to PHP Cookies

    - by Richa
    Hey guys! I have a doubt, I will appreciate if you can clear it . COOKIES What are cookies? When described as entities, which is how cookies are often referenced in conversation, you can be easily misled. Cookies are actually just an extension of the HTTP protocol. Specifically, there are two additional HTTP headers: Set-Cookie and Cookie.The operation of these cookies is best described by the following series of events: Client sends an HTTP request to server. Server sends an HTTP response with Set-Cookie: foo=bar to client. Client sends an HTTP request with Cookie: foo=bar to server. Server sends an HTTP response to client. Thus, the typical scenario involves two complete HTTP transactions. In step 2, the server is asking the client to return a particular cookie in future requests. In step 3, if the user’s preferences are set to allow cookies, and if the cookie is valid for this particular request, the browser requests the resource again but includes the cookie. Now my question is....... why you cannot determine whether a user’s preferences are set to allow cookies during the first request????

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  • Semantic coupling vs. large class

    - by user106587
    I have hardware I communicate with via TCP. This hardware accepts ~40 different commands/requests with about 20 different responses. I've created a HardwareProxy class which has a TcpClient to send and receive data. I didn't like the idea of having 40 different methods to send the commands/requests, so I started down the path of having a single SendCommand method which takes an ICommand and returns an IResponse, this results in 40 different SpecificCommand classes. The problem is this requires semantic coupling, i.e. the method that invokes SendCommand receives an IResponse which it has to downcast to SpecificResponse, I use a future map which I believe ensures the appropriate SpecificResponse, but I get the impression this code smells. Besides the semantic coupling, ICommand and IResponse are essentially empty abstract classes (Marker Interfaces) and this seems suspicious to me. If I go with the 40 methods I don't think I have broken the single responisbility principle as the responsibility of the HardwareProxy class is to act as the hardware, which has all of these commands. This route is just ugly, plus I'd like to have Asynchronous versions, so there'd be about 80 methods. Is it better to bite the bullet and have a large class, accept the coupling and MarkerInterfaces for a smaller soultuion, or am I missing a better way? Thanks.

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  • Hostmonster can't change domains around?

    - by loneboat
    (question imported from http://superuser.com/q/204439/53847 ) Horrible title, but I couldn't think of a succinct way to summarize it to fit. I have HostMonster for my web hosting. I have several domain names under the same account (using the same web space, IP address, etc...). Every HM account has one domain set up as the "main domain", and all other domains are "secondary". The only way I have ever encountered this being an issue is in trying to use HTTPS - since (from my limited understanding) HTTPS encrypts headers, you can't route HTTPS requests to different virtual hosts on a server - only unencrypted requests, since it must look in the request to know where to route it. When I registered for my account, I only had one domain name (A). I have since added domain names (B), (C), (D), etc... At one point I switched domain name (B) to be my "main" domain name - so I could use HTTPS with it. I have since sold domain name (B), and would like to make domain name (A) my "main" one again (as it was before), but HM support says, "no, once a domain name has been a 'main' domain name on an account once, we can't set it up to be a 'main' domain name again. You're welcome to use domains (C), or (D), though.". They tell me the only way to reuse domain (A) as a "main" domain would be to set up a new account and transfer over all my files. I'm confused here. If I have domains (D), (E), and (F), they say I'm welcome to make one of them my new main domain name, just never (A) again, since I've already "used" it once. Calls to support only reveal that they can't let me do it because doing so would somehow "break" my account. Can anyone think of any good reason why this should be so? The only thing I can think is that maybe they're using the domain names as keys in some database or something? But if that's the case, that's ridiculous - they need to reorganize their databases!

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  • Is there an open source version check library and web app?

    - by user52485
    I'm a developer for a cross platform (Win, MacOS, Linux) open source C++ application. I would like to have the program occasionally check for the latest version from our web site. Between the security, privacy, and cross platform network issues, I'd rather not roll our own solution. It seems like this is a common enough thing that there 'ought' to be a library/app which will do this. Unfortunately, the searches I've tried come up empty. Ideally, the web app would track requests and process the logs into some nice reports (number of users, what version, what platform, frequency of use, maybe even geographical info from IP address, etc.). While appropriately respecting privacy, etc. What pre-existing tools can help solve this problem? Edits: I am looking for a reporting tool, not a dependency checker. Our project has the challenge of keeping up with our users. Most do not join the mailing list. Our project has not been picked up by major distributions -- most of our users are Windows/MacOS anyway. When a new version comes out, we have no way of informing our users of its existence. Development is moving pretty fast, major features added every few months. We would like to provide the user with a way to check for an updated version. While we're at it, we would like to use these requests for some simple & anonymous usage tracking (X users running version Y with Z frequency, etc.). We do not need/want something that auto-updates or tracks dependencies on the system. We are not currently worried about update size -- when the user chooses to update, we expect them to download the complete latest version. We would like to keep this as simple as possible.

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  • On Developing Web Services with Global State

    - by user74418
    I'm new to web programming. I'm more experienced and comfortable with client-side code. Recently, I've been dabbling in web programming through Python's Google App Engine. I ran into some difficulty while trying to write some simple apps for the purposes of learning, mainly involving how to maintain some kind of consistent universally-accessible state for the application. I tried to write a simple queueing management system, the kind you would expect to be used in a small clinic, or at a cafeteria. Typically, this is done with hardware. You take a number from a ticketing machine, and when your number is displayed or called you approach the counter for service. Alternatively, you could be given a small pager, which will beep or vibrate when it is your turn to receive service. The former is somewhat better in that you have an idea of how many people are still ahead of you in the queue. In this situation, the global state is the last number in queue, which needs to be updated whenever a request is made to the server. I'm not sure how to best to store and maintain this value in a GAE context. The solution I thought of was to keep the value in the Datastore, attempt to query it during a ticket request, update the value, and then re-store it with put. My problem is that I haven't figured out how to lock the resource so that other requests do not check the value while it is in the middle of being updated. I am concerned that I may end up ticket requests that have the same queue number. Also, the whole solution feels awkward to me. I was wondering if there was a more natural way to accomplish this without having to go through the Datastore. Can anyone with more experience in this domain provide some advice on how to approach the design of the above application?

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  • Release Notes for 5/31/2012

    Here are the notes for this week’s release: Pull Requests We’ve moved the pull request creation UI from a modal dialog to a full page to make room for more context on what you’re sending with your pull request. In this week’s changes, you’ll see the list of commits; look for diffs to appear in the coming weeks. Corrected several issues where the line that had comments associated was not being properly differentiated in the code snippet previews on pull request discussions. Corrected an issue where pull request line comments would not appear to be associated with the proper line of code. Fixed an issue where accepting pull requests was not working properly. Bug Fixes Fixed an issue where code snippets could not be inserted using Opera. Fixed an issue where Internet Explorer displayed an error message when browsing the site using https. Fixed an issue where the CAPTCHA was not displaying properly on the Contact User page. Fixed an issue where paging was not working properly in the “Recent Release in Followed Projects” sections for logged in users. Other Updated the activity stream to no longer auto-load new items when scrolling down. Added an explicit download link at the end of the download countdown in case certain browsers/scenarios don’t automatically start downloading. Have ideas on how to improve CodePlex? Visit our ideas page! Vote for your favorite ideas or submit a new one. Got Twitter? Follow us and keep apprised of the latest releases and service status at @codeplex.

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  • Release Notes for 6/7/2012

    Here are the notes for this week’s release: Pull Requests We added diff previews to the pull request creation page so that you have more context in the pull request that you’re creating. Bug Fixes Fixed an issue that prevented users from downloading files if they were using an ad blocker browser plug-in. Fixed an issue that caused harmless error messages to appear when pushing changes using Git. Fixed an issue where visiting the project openings search results would result in a non-functional search box. Fixed an issue where projects would break if users attempted to publish the project with an empty description. Known Issues The formatting of tabs on pull requests has disappeared. We’ll fix this issue early next week with another deployment. Have ideas on how to improve CodePlex? Visit our ideas page! Vote for your favorite ideas or submit a new one. Got Twitter? Follow us and keep apprised of the latest releases and service status at @codeplex.

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  • Committed JDO writes do not apply on local GAE HRD, or possibly reused transaction

    - by eeeeaaii
    I'm using JDO 2.3 on app engine. I was using the Master/Slave datastore for local testing and recently switched over to using the HRD datastore for local testing, and parts of my app are breaking (which is to be expected). One part of the app that's breaking is where it sends a lot of writes quickly - that is because of the 1-second limit thing, it's failing with a concurrent modification exception. Okay, so that's also to be expected, so I have the browser retry the writes again later when they fail (maybe not the best hack but I'm just trying to get it working quickly). But a weird thing is happening. Some of the writes which should be succeeding (the ones that DON'T get the concurrent modification exception) are also failing, even though the commit phase completes and the request returns my success code. I can see from the log that the retried requests are working okay, but these other requests that seem to have committed on the first try are, I guess, never "applied." But from what I read about the Apply phase, writing again to that same entity should force the apply... but it doesn't. Code follows. Some things to note: I am attempting to use automatic JDO caching. So this is where JDO uses memcache under the covers. This doesn't actually work unless you wrap everything in a transaction. all the requests are doing is reading a string out of an entity, modifying part of the string, and saving that string back to the entity. If these requests weren't in transactions, you'd of course have the "dirty read" problem. But with transactions, isolation is supposed to be at the level of "serializable" so I don't see what's happening here. the entity being modified is a root entity (not in a group) I have cross-group transactions enabled Another weird thing is happening. If the concurrent modification thing happens, and I subsequently edit more than 5 more entities (this is the max for cross-group transactions), then nothing happens right away, but when I stop and restart the server I get "IllegalArgumentException: operating on too many entity groups in a single transaction". Could it be possible that the PMF is returning the same PersistenceManager every time, or the PM is reusing the same transaction every time? I don't see how I could possibly get the above error otherwise. The code inside the transaction just edits one root entity. I can't think of any other way that GAE would give me the "too many entity groups" error. The relevant code (this is a simplified version) PersistenceManager pm = PMF.getManager(); Transaction tx = pm.currentTransaction(); String responsetext = ""; try { tx.begin(); // I have extra calls to "makePersistent" because I found that relying // on pm.close didn't always write the objects to cache, maybe that // was only a DataNucleus 1.x issue though Key userkey = obtainUserKeyFromCookie(); User u = pm.getObjectById(User.class, userkey); pm.makePersistent(u); // to make sure it gets cached for next time Key mapkey = obtainMapKeyFromQueryString(); // this is NOT a java.util.Map, just FYI Map currentmap = pm.getObjectById(Map.class, mapkey); Text mapData = currentmap.getMapData(); // mapData is JSON stored in the entity Text newMapData = parseModifyAndReturn(mapData); // transform the map currentmap.setMapData(newMapData); // mutate the Map object pm.makePersistent(currentmap); // make sure to persist so there is a cache hit tx.commit(); responsetext = "OK"; } catch (JDOCanRetryException jdoe) { // log jdoe responsetext = "RETRY"; } catch (Exception e) { // log e responsetext = "ERROR"; } finally { if (tx.isActive()) { tx.rollback(); } pm.close(); } resp.getWriter().println(responsetext); EDIT: so I have verified that it fails after exactly 5 transactions. Here's what I do: I create a Foo (root entity), do a bunch of concurrent operations on that Foo, and some fail and get retried, and some commit but don't apply (as described above). Then, I start creating more Foos, and do a few operations on those new Foos. If I only create four Foos, stopping and restarting app engine does NOT give me the IllegalArgumentException. However if I create five Foos (which is the limit for cross-group transactions), then when I stop and restart app engine, I do get the exception. So it seems that somehow these new Foos I am creating are counting toward the limit of 5 max entities per transaction, even though they are supposed to be handled by separate transactions. It's as if a transaction is still open and is being reused by the servlet when it handles the new requests for the 2nd through 5th Foos. EDIT2: it looks like the IllegalArgument thing is independent of the other bug. In other words, it always happens when I create five Foos, even if I don't get the concurrent modification exception. I don't know if it's a symptom of the same problem or if it's unrelated. EDIT3: I found out what was causing the (unrelated) IllegalArgumentException, it was a dumb mistake on my part. But the other issue is still happening. EDIT4: added pseudocode for the datastore access EDIT5: I am pretty sure I know why this is happening, but I will still award the bounty to anyone who can confirm it. Basically, I think the problem is that transactions are not really implemented in the local version of the datastore. References: https://groups.google.com/forum/?fromgroups=#!topic/google-appengine-java/gVMS1dFSpcU https://groups.google.com/forum/?fromgroups=#!topic/google-appengine-java/deGasFdIO-M https://groups.google.com/forum/?hl=en&fromgroups=#!msg/google-appengine-java/4YuNb6TVD6I/gSttMmHYwo0J Because transactions are not implemented, rollback is essentially a no-op. Therefore, I get a dirty read when two transactions try to modify the record at the same time. In other words, A reads the data and B reads the data at the same time. A attempts to modify the data, and B attempts to modify a different part of the data. A writes to the datastore, then B writes, obliterating A's changes. Then B is "rolled back" by app engine, but since rollbacks are a no-op when running on the local datastore, B's changes stay, and A's do not. Meanwhile, since B is the thread that threw the exception, the client retries B, but does not retry A (since A was supposedly the transaction that succeeded).

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