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  • What would be a good game making engine supporting Vector images?

    - by Qqwy
    I want to create a simple platforming game, in which you are a square in a wonderful world. I would like this game to be able to be played in browsers. Basically I am searching for something similar to "Flixel", but with the following features: Support Vector Graphics Allow zooming/rotating objects without producing huge amounts of lag as soon as you are using more objects. (Because I want to rotate the map around the player) So in other words, preferably zoom the viewport/camera instead of the objects themselves. Does an engine like that exist?

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  • How to design a game engine in an object-oriented language?

    - by chuzzum
    Whenever I try and write a game in any object-oriented language, the first problem I always face (after thinking about what kind of game to write) is how to design the engine. Even if I'm using existing libraries or frameworks like SDL, I still find myself having to make certain decisions for every game, like whether to use a state machine to manage menus, what kind of class to use for resource loading, etc. What is a good design and how would it be implemented? What are some tradeoffs that have to be made and their pros/cons?

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  • Lucene based database search engine

    - by Abhay
    Hi All, I am planing to add search feature in my web application. Now the items that will be searched are strored in a Relational database. In order to achieve a full text search engine I have following doubts : For database based search engine should I use just lucene or some other utility based on Luncene like Solr, luSql, Compass etc. In case of Solr, can it be embeded in to the web applcation rather than deploying it as a seaparate WAR. Thanks for your time. regards

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  • Google App Engine for Businesses Source License

    - by jacksonemg
    I believe I read that if you wanted to use Google's App Engine, your application needed to be open source. With the recent announcement of App Engine for Business, does the same rule apply? I would like to host an application on this particular platform but have no interest in releasing the code initially (down the road, potentially).

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  • google app engine proxy workaround

    - by Lumpy
    I am trying to build a google app engine app in Java. The app is trying to get information from another site. On my computer I am behind a firewall and need to connect to the site through a proxy. Google app engine does not allow the use of java.net.proxy. Is there a way to configure eclipse so it knows that when I use URL.getContent() my local host will connect to that url through a proxy??

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  • Is there a template engine for Node.js?

    - by Seb
    I'm kind of falling in love with Node.js not because you write app code in javascript but because of its performance. I really don't care a lot about how beautiful a server side language might be but how much requests per second it can handle. So anyway I'm looking forward to experiment building an entire webapp using Node.js (and going back to the actual question) is there a template engine similar to let's say the django template engine or something similar (that at least allows you to extend base templates) available for Node.js?

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  • Without using a pre-built physics engine, how can I implement 3-D collision detection from scratch?

    - by Andy Harglesis
    I want to tackle some basic 3-D collision detection and was wondering how engines handle this and give you a pretty interface and make it so easy ... I want to do it all myself, however. 2-D collision detection is extremely simple and can be done multiple ways that even beginner programmers could think up: 1.When the pixels touch; 2.when a rectangle range is exceeded; 3.when a pixel object is detected near another one in a pixel-based rendering engine. But 3-D is different with one dimension, but complex in many more so ... what are the general, basic understanding/examples on how 3-D collision detection can be implemented? Think two shaded, OpenGL cubes that are moved next to each other with a simple OpenGL rendering context and keyboard events.

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  • Does Google app engine supports JDBC?

    - by Rakesh Juyal
    I have heard the Google App Engine[java] do not support JDBC and Hibernate. Is it true? If yes then how do we access the database in Google App Engine. Also, is there any [basic] sample application which can help me understand how to perform CRUD operations in GAE.

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  • Error trying to transform image < 1 MB in App Engine

    - by ryan
    So I know that App Engine prevents working with images greater than 1 MB in size, but I'm getting a RequestTooLargeError when I call images.resize on an jpg that is 400K on disk. The dimensions of the jpg are 1600 x 1200, so is it that app engine can't handle resizing images over 1 megapixel, even if the image file itself is a compressed format that is smaller than 1 MB?

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  • Database Vault integration available

    - by Anthony Shorten
    One of the major features of Oracle Utilities Application Framework V4.1 is the provision of a base solution for integration to the Database Vault product. Database Vault is part of Oracle’s security portfolio of product and allows database user permissions to be locked down to only allow appropriate users appropriate access to the product data. By default, when you install the product database, administrators and SYSDBA users have full DML (SELECT, INSERT, UPDATE and DELETE access) to the schemas they own and in the case of the SYSDBA users, all schemas on the database. This can be perceived as an issue. Database Vault allows an additional layer of security to disable inappropriate access. In Oracle Utilities Application Framework, a prebuilt Database Vault solution has been provided to provide base DML access to product data for product users only. The solution is shipped with the database installation files and includes a set of SQL files to create, disable, enable and delete the Database Vault objects. The solution contains a Database Vault Realm, RuleSets, Rules and Command Rules that can be used as is or extended to meet site specific needs. The solution is consistent with other Database Vault solutions provided for other Oracle applications such as PeopleSoft, E-Business Suite, JD-Edwards and Siebel. Customers familiar with the database vault solutions for those products will recognize the similarities between the solutions. For more details of the solution, refer to the Database Vault Integration for Oracle Utilities Application Framework Based Products on My Oracle Support at KB Id: 1290700.1.

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  • Database sharing/versioning

    - by DarkJaff
    Hi everyone, I have a question but I'm not sure of the word to use. My problem: I have an application using a database to stock information. The database can ben in access (local) or in a server (SQL Server or Oracle). We support these 3 kind of database. We want to give the possibility to the user to do what I think we can call versioning. Let me explain : We have a database 1. This is the master. We want to be able to create a database 2 that will be the same thing as database 1 but we can give it to someone else. They each work on each other side, adding, modifying and deleting records on this very complex database. After that, we want the database 1 to include the change from database 2, but with the possibility to dismiss some of the change. For you information, ou application is already multiuser so why don't we just use this multi-user and forget about this versionning? It's because sometimes, we need to give a copy of the database to another company on another site and they can't connect on our server. They work on their side and then, we want to merge. Is there anyone here with experience with this type of requirement? We have a lot of ideas but most of them require a LOT of work, massive modification to the database or to the existing queries. This is a 2 millions and growing C++ app, so rewriting it is not possible! Thanks for any ideas that you may give us! J-F

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  • How can I make hundreds of simultaneously running processes communicate with a database through one

    - by Olfan
    Long speech short: How can I make hundreds of simultaneously running processes communicate with a database through one or few permanent sessions? The whole story: I once built a number crunching engine that handles vast amounts of large data files by forking off one child after another giving each a small number of files to work on. File locking, progress monitoring and result propagation happen in an Oracle database which all (sub-)processes access at various times using an application-specific module which encapsulates DBI. This worked well at first, but now with higher volumes of input data, the number of database sessions (one per child, and they can be very short-lived) constantly being opened and closed is becoming an issue. I now want to centralise database access so that there are only one or few fixed database sessions which handle all database access for all the (sub-)processes. The presence of the database abstraction module should make the changes easy because the function calls in the worker instances can stay the same. My problem is that I cannot think of a suitable way to enhance said module in order to establish communication between all the processes and the database connector(s). I thought of message queueing, but couldn't come up with a way of connecting a large herd of requestors with one or few database connectors in a way so that bidirectional communication is possible (for collecting the query result). An asynchronous approach could help here in that all requests are written to the same queue and the database connector servicing the request will "call back" to submit the result. But my mind fails me in generating an image clear enough so that I can paint into code. Threading instead of forking might have given me an easier start, but this would now require massive changes to the code base that I'm not prepared to do to a live system. The more I think of it, the more the base idea looks like a pre-forked web server to me only that it doesn't serve web pages but database queries. Any ideas on what to dig into, and where? Sample (pseudo) code to inspire me, links to possibly related articles, ready solutions on CPAN maybe?

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  • Oracle’s New Memory-Optimized x86 Servers: Getting the Most Out of Oracle Database In-Memory

    - by Josh Rosen, x86 Product Manager-Oracle
    With the launch of Oracle Database In-Memory, it is now possible to perform real-time analytics operations on your business data as it exists at that moment – in the DRAM of the server – and immediately return completely current and consistent data. The Oracle Database In-Memory option dramatically accelerates the performance of analytics queries by storing data in a highly optimized columnar in-memory format.  This is a truly exciting advance in database technology.As Larry Ellison mentioned in his recent webcast about Oracle Database In-Memory, queries run 100 times faster simply by throwing a switch.  But in order to get the most from the Oracle Database In-Memory option, the underlying server must also be memory-optimized. This week Oracle announced new 4-socket and 8-socket x86 servers, the Sun Server X4-4 and Sun Server X4-8, both of which have been designed specifically for Oracle Database In-Memory.  These new servers use the fastest Intel® Xeon® E7 v2 processors and each subsystem has been designed to be the best for Oracle Database, from the memory, I/O and flash technologies right down to the system firmware.Amongst these subsystems, one of the most important aspects we have optimized with the Sun Server X4-4 and Sun Server X4-8 are their memory subsystems.  The new In-Memory option makes it possible to select which parts of the database should be memory optimized.  You can choose to put a single column or table in memory or, if you can, put the whole database in memory.  The more, the better.  With 3 TB and 6 TB total memory capacity on the Sun Server X4-4 and Sun Server X4-8, respectively, you can memory-optimize more, if not your entire database.   Sun Server X4-8 CMOD with 24 DIMM slots per socket (up to 192 DIMM slots per server) But memory capacity is not the only important factor in selecting the best server platform for Oracle Database In-Memory.  As you put more of your database in memory, a critical performance metric known as memory bandwidth comes into play.  The total memory bandwidth for the server will dictate the rate in which data can be stored and retrieved from memory.  In order to achieve real-time analysis of your data using Oracle Database In-Memory, even under heavy load, the server must be able to handle extreme memory workloads.  With that in mind, the Sun Server X4-8 was designed with the maximum possible memory bandwidth, providing over a terabyte per second of total memory bandwidth.  Likewise, the Sun Server X4-4 also provides extreme memory bandwidth in an even more compact form factor with over half a terabyte per second, providing customers with scalability and choice depending on the size of the database.Beyond the memory subsystem, Oracle’s Sun Server X4-4 and Sun Server X4-8 systems provide other key technologies that enable Oracle Database to run at its best.  The Sun Server X4-4 allows for up 4.8 TB of internal, write-optimized PCIe flash while the Sun Server X4-8 allows for up to 6.4 TB of PCIe flash.  This enables dramatic acceleration of data inserts and updates to Oracle Database.  And with the new elastic computing capability of Oracle’s new x86 servers, server performance can be adapted to your specific Oracle Database workload to ensure that every last bit of processing power is utilized.Because Oracle designs and tests its x86 servers specifically for Oracle workloads, we provide the highest possible performance and reliability when running Oracle Database.  To learn more about Sun Server X4-4 and Sun Server X4-8, you can find more details including data sheets and white papers here. Josh Rosen is a Principal Product Manager for Oracle’s x86 servers, focusing on Oracle’s operating systems and software.  He previously spent more than a decade as a developer and architect of system management software. Josh has worked on system management for many of Oracle's hardware products ranging from the earliest blade systems to the latest Oracle x86 servers. 

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  • Implementing Database Settings Using Policy Based Management

    - by Ashish Kumar Mehta
    Introduction Database Administrators have always had a tough time to ensuring that all the SQL Servers administered by them are configured according to the policies and standards of organization. Using SQL Server’s  Policy Based Management feature DBAs can now manage one or more instances of SQL Server 2008 and check for policy compliance issues. In this article we will utilize Policy Based Management (aka Declarative Management Framework or DMF) feature of SQL Server to implement and verify database settings on all production databases. It is best practice to enforce the below settings on each Production database. However, it can be tedious to go through each database and then check whether the below database settings are implemented across databases. In this article I will explain it to you how to utilize the Policy Based Management Feature of SQL Server 2008 to create a policy to verify these settings on all databases and in cases of non-complaince how to bring them back into complaince. Database setting to enforce on each user database : Auto Close and Auto Shrink Properties of database set to False Auto Create Statistics and Auto Update Statistics set to True Compatibility Level of all the user database set as 100 Page Verify set as CHECKSUM Recovery Model of all user database set to Full Restrict Access set as MULTI_USER Configure a Policy to Verify Database Settings 1. Connect to SQL Server 2008 Instance using SQL Server Management Studio 2. In the Object Explorer, Click on Management > Policy Management and you will be able to see Policies, Conditions & Facets as child nodes 3. Right click Policies and then select New Policy…. from the drop down list as shown in the snippet below to open the  Create New Policy Popup window. 4. In the Create New Policy popup window you need to provide the name of the policy as “Implementing and Verify Database Settings for Production Databases” and then click the drop down list under Check Condition. As highlighted in the snippet below click on the New Condition… option to open up the Create New Condition window. 5. In the Create New Condition popup window you need to provide the name of the condition as “Verify and Change Database Settings”. In the Facet drop down list you need to choose the Facet as Database Options as shown in the snippet below. Under Expression you need to select Field value as @AutoClose and then choose Operator value as ‘ = ‘ and finally choose Value as False. Now that you have successfully added the first field you can now go ahead and add rest of the fields as shown in the snippet below. Once you have successfully added all the above shown fields of Database Options Facet, click OK to save the changes and to return to the parent Create New Policy – Implementing and Verify Database Settings for Production Database windows where you will see that the newly created condition “Verify and Change Database Settings” is selected by default. Continues…

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  • SQL SERVER – Shard No More – An Innovative Look at Distributed Peer-to-peer SQL Database

    - by pinaldave
    There is no doubt that SQL databases play an important role in modern applications. In an ideal world, a single database can handle hundreds of incoming connections from multiple clients and scale to accommodate the related transactions. However the world is not ideal and databases are often a cause of major headaches when applications need to scale to accommodate more connections, transactions, or both. In order to overcome scaling issues, application developers often resort to administrative acrobatics, also known as database sharding. Sharding helps to improve application performance and throughput by splitting the database into two or more shards. Unfortunately, this practice also requires application developers to code transactional consistency into their applications. Getting transactional consistency across multiple SQL database shards can prove to be very difficult. Sharding requires developers to think about things like rollbacks, constraints, and referential integrity across tables within their applications when these types of concerns are best handled by the database. It also makes other common operations such as joins, searches, and memory management very difficult. In short, the very solution implemented to overcome throughput issues becomes a bottleneck in and of itself. What if database sharding was no longer required to scale your application? Let me explain. For the past several months I have been following and writing about NuoDB, a hot new SQL database technology out of Cambridge, MA. NuoDB is officially out of beta and they have recently released their first release candidate so I decided to dig into the database in a little more detail. Their architecture is very interesting and exciting because it completely eliminates the need to shard a database to achieve higher throughput. Each NuoDB database consists of at least three or more processes that enable a single database to run across multiple hosts. These processes include a Broker, a Transaction Engine and a Storage Manager.  Brokers are responsible for connecting client applications to Transaction Engines and maintain a global view of the network to keep track of the multiple Transaction Engines available at any time. Transaction Engines are in-memory processes that client applications connect to for processing SQL transactions. Storage Managers are responsible for persisting data to disk and serving up records to the Transaction Managers if they don’t exist in memory. The secret to NuoDB’s approach to solving the sharding problem is that it is a truly distributed, peer-to-peer, SQL database. Each of its processes can be deployed across multiple hosts. When client applications need to connect to a Transaction Engine, the Broker will automatically route the request to the most available process. Since multiple Transaction Engines and Storage Managers running across multiple host machines represent a single logical database, you never have to resort to sharding to get the throughput your application requires. NuoDB is a new pioneer in the SQL database world. They are making database scalability simple by eliminating the need for acrobatics such as sharding, and they are also making general administration of the database simpler as well.  Their distributed database appears to you as a user like a single SQL Server database.  With their RC1 release they have also provided a web based administrative console that they call NuoConsole. This tool makes it extremely easy to deploy and manage NuoDB processes across one or multiple hosts with the click of a mouse button. See for yourself by downloading NuoDB here. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: CodeProject, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQLServer, T SQL, Technology Tagged: NuoDB

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  • Is there a simple isometric graphical game engine (using vectors?) that could be used for a (multiplayer) crafting/farming game? [closed]

    - by Renier Wijnen
    Possible Duplicate: Good, free isometric game engine? With little game development experience (albeit having graphical skills and some programming knowledge) a group currently working on a game used to explain permaculture through interaction would like to create a simple concept game. Is there a specific engine or set of tools we could used to achieve this? Being able to make it an (online) multiplayer game would be much preferred. Thank you in advance for your input.

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  • Microsoft.Build.Engine Error (default targets): Target GetFrameworkPaths: Could not locate the .NET

    - by Mitchan Adams
    I am writing a webservice, that when called should build a C# project. I'm using the framework 2 reference, Microsoft.Buld.Engine and Microsoft.Build.Framework. If you look under the '<Import>' section .csproj file, by default it has: <Import Project="$(MSBuildToolsPath)\Microsoft.CSharp.targets" /> which I then changed to: <Import Project="$(MSBuildBinPath)\Microsoft.CSharp.targets" /> My code to build the csproj is: Engine buildEngine = new Engine(Path.Combine(Environment.GetEnvironmentVariable("SystemRoot"), @"Microsoft.NET\Framework\v2.0.50727")); FileLogger logger = new FileLogger(); logger.Parameters = @"logfile=c:\temp\build.log"; buildEngine.RegisterLogger(logger); bool success = buildEngine.BuildProjectFile([Path_Of_Directory]+ "ProjectName.csproj"); buildEngine.UnregisterAllLoggers(); The success variable returns a false because the build faild. I then check the build.log file and this is the error I recieve: *Build started 3/17/2010 11:16:56 AM. ______________________________ Project "[Path_Of_Directory]\ProjectName.csproj" (default targets): Target GetFrameworkPaths: Could not locate the .NET Framework SDK. The task is looking for the path to the .NET Framework SDK at the location specified in the SDKInstallRootv2.0 value of the registry key HKEY_LOCAL_MACHINE\SOFTWARE\Microsoft.NETFramework. You may be able to solve the problem by doing one of the following: 1.) Install the .NET Framework SDK. 2.) Manually set the above registry key to the correct location. Target* I cant understand why it wont build. Any help will be much appreciated. Thanks

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  • C# Client to Consume Google App Engine RESTful Webservice (rpc XML)

    - by Ngu Soon Hui
    I think I hit a problem when using C# client to consume Google App Engine Webservice. The Google App Engine code I use is here. This is how the python script on server would look like: from google.appengine.ext import webapp from google.appengine.ext.webapp.util import run_wsgi_app import logging from StringIO import StringIO import traceback import xmlrpclib from xmlrpcserver import XmlRpcServer class Application: def __init__(self): pass def getName(self,meta): return 'example' class XMLRpcHandler(webapp.RequestHandler): rpcserver = None def __init__(self): self.rpcserver = XmlRpcServer() app = Application() self.rpcserver.register_class('app',app) def post(self): request = StringIO(self.request.body) request.seek(0) response = StringIO() try: self.rpcserver.execute(request, response, None) except Exception, e: logging.error('Error executing: '+str(e)) for line in traceback.format_exc().split('\n'): logging.error(line) finally: response.seek(0) rstr = response.read() self.response.headers['Content-type'] = 'text/xml' self.response.headers['Content-length'] = "%d"%len(rstr) self.response.out.write(rstr) application = webapp.WSGIApplication( [('/xmlrpc/', XMLRpcHandler)], debug=True) def main(): run_wsgi_app(application) if __name__ == "__main__": main() The client side ( in Python) is this: import xmlrpclib s = xmlrpclib.Server('http://localhost:8080/xmlrpc/') print s.app.getName() I have no problem in using Python client to retrieve values from Google App Engine, but I do have difficulties in using a C# client to retrieve the values. The error I got was 404 method not found when I am trying to GetResponse from the web request. This is my code var request = (HttpWebRequest)WebRequest.Create("http://localhost:8080/xmlrpc/app"); request.Method = "GET"; request.ContentLength = 0; request.ContentType = "text/xml"; using (HttpWebResponse response = request.GetResponse() as HttpWebResponse) //404 method not found error here. { } I think it must be that the url is wrong, but I don't know how to get it right. Any idea?

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  • Full-text search on App Engine with Whoosh

    - by Martin
    I need to do full text searching with Google App Engine. I found the project Whoosh and it works really well, as long as I use the App Engine Development Environement... When I upload my application to App Engine, I am getting the following TraceBack. For my tests, I am using the example application provided in this project. Any idea of what I am doing wrong? <type 'exceptions.ImportError'>: cannot import name loads Traceback (most recent call last): File "/base/data/home/apps/myapp/1.334374478538362709/hello.py", line 6, in <module> from whoosh import store File "/base/data/home/apps/myapp/1.334374478538362709/whoosh/__init__.py", line 17, in <module> from whoosh.index import open_dir, create_in File "/base/data/home/apps/myapp/1.334374478538362709/whoosh/index.py", line 31, in <module> from whoosh import fields, store File "/base/data/home/apps/myapp/1.334374478538362709/whoosh/store.py", line 27, in <module> from whoosh import tables File "/base/data/home/apps/myapp/1.334374478538362709/whoosh/tables.py", line 43, in <module> from marshal import loads Here is the import I have in my Python file. # Whoosh ---------------------------------------------------------------------- sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..', 'utils'))) from whoosh.fields import Schema, STORED, ID, KEYWORD, TEXT from whoosh.index import getdatastoreindex from whoosh.qparser import QueryParser, MultifieldParser Thank you in advance for your help!

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  • Search engine recommendation for 100 sites of about 4000 pages

    - by fwkb
    I am looking for a search engine that can regularly (daily-ish) scan about 100 pages for changes and index an associated site if changes since the last scan are found. It should be able to handle about 100 sites, each averaging 4000 pages of about 5k average size, each on a different server (but only the one centralized search engine). Each of these sites will have a search form that gets submitted to this search engine. The results that are returned must be specific to the site that submitted them. I create the templates for the external sites, so I can give the search form a hidden field that specifies which site the form is submitted from. What would you recommend I look into? I would love to use a Python-based system for this, if feasible. I am currently using something called iSearch2. It doesn't seem very stable at this scale, the description of the product states it is not really intended to do multiple sites, is in PHP (which is less comfortable to me than Python), and has a few other shortcomings for my specific situation.

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  • Updating entity fields in app engine development server

    - by Joey
    I recently tried updating a field in one of my entities on the app engine local dev server via the sdk console. It appeared to have updated just fine (a simple float). However, when I followed up with a query on the entity, I received an exception: "Items in the mSomeList list must all be Key instances". mSomeList is just another list field I have in that entity, not the one I modified. Is there any reason manually changing a field would adversely throw something off such that the server gets confused? Is this a known bug? I wrote an http handler to alter the field through server code and it works fine if I take that approach. Update: (adding details) I am using the python google app engine server. Basically if I go into the Google App Engine Launcher and press the SDK Console button, then go into one of my entities and edit a field that is a float (i.e. change it from 0 to 3.5, for instance), I get the "Items in the mMyList list must all be Key instance" suddenly when I query the entity like this: query = DataModels.RegionData.gql("WHERE mRegion = :1", region) entry = query.get() the RegionData entity is what has the mMyList member. As mentioned previously, if I do not manually change the field but rather do so through server code, i.e. query = DataModels.RegionData.gql("WHERE mRegion = :1", region) entry = query.get() entry.mMyFloat = 3.5 entry.put() Then it works.

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  • Use BGInfo to Build a Database of System Information of Your Network Computers

    - by Sysadmin Geek
    One of the more popular tools of the Sysinternals suite among system administrators is BGInfo which tacks real-time system information to your desktop wallpaper when you first login. For obvious reasons, having information such as system memory, available hard drive space and system up time (among others) right in front of you is very convenient when you are managing several systems. A little known feature about this handy utility is the ability to have system information automatically saved to a SQL database or some other data file. With a few minutes of setup work you can easily configure BGInfo to record system information of all your network computers in a centralized storage location. You can then use this data to monitor or report on these systems however you see fit. BGInfo Setup If you are familiar with BGInfo, you can skip this section. However, if you have never used this tool, it takes just a few minutes to setup in order to capture the data you are looking for. When you first open BGInfo, a timer will be counting down in the upper right corner. Click the countdown button to keep the interface up so we can edit the settings. Now edit the information you want to capture from the available fields on the right. Since all the output will be redirected to a central location, don’t worry about configuring the layout or formatting. Configuring the Storage Database BGInfo supports the ability to store information in several database formats: SQL Server Database, Access Database, Excel and Text File. To configure this option, open File > Database. Using a Text File The simplest, and perhaps most practical, option is to store the BGInfo data in a comma separated text file. This format allows for the file to be opened in Excel or imported into a database. To use a text file or any other file system type (Excel or MS Access), simply provide the UNC to the respective file. The account running the task to write to this file will need read/write access to both the share and NTFS file permissions. When using a text file, the only option is to have BGInfo create a new entry each time the capture process is run which will add a new line to the respective CSV text file. Using a SQL Database If you prefer to have the data dropped straight into a SQL Server database, BGInfo support this as well. This requires a bit of additional configuration, but overall it is very easy. The first step is to create a database where the information will be stored. Additionally, you will want to create a user account to fill data into this table (and this table only). For your convenience, this script creates a new database and user account (run this as Administrator on your SQL Server machine): @SET Server=%ComputerName%.@SET Database=BGInfo@SET UserName=BGInfo@SET Password=passwordSQLCMD -S “%Server%” -E -Q “Create Database [%Database%]“SQLCMD -S “%Server%” -E -Q “Create Login [%UserName%] With Password=N’%Password%’, DEFAULT_DATABASE=[%Database%], CHECK_EXPIRATION=OFF, CHECK_POLICY=OFF”SQLCMD -S “%Server%” -E -d “%Database%” -Q “Create User [%UserName%] For Login [%UserName%]“SQLCMD -S “%Server%” -E -d “%Database%” -Q “EXEC sp_addrolemember N’db_owner’, N’%UserName%’” Note the SQL user account must have ‘db_owner’ permissions on the database in order for BGInfo to work correctly. This is why you should have a SQL user account specifically for this database. Next, configure BGInfo to connect to this database by clicking on the SQL button. Fill out the connection properties according to your database settings. Select the option of whether or not to only have one entry per computer or keep a history of each system. The data will then be dropped directly into a table named “BGInfoTable” in the respective database.   Configure User Desktop Options While the primary function of BGInfo is to alter the user’s desktop by adding system info as part of the wallpaper, for our use here we want to leave the user’s wallpaper alone so this process runs without altering any of the user’s settings. Click the Desktops button. Configure the Wallpaper modifications to not alter anything.   Preparing the Deployment Now we are all set for deploying the configuration to the individual machines so we can start capturing the system data. If you have not done so already, click the Apply button to create the first entry in your data repository. If all is configured correctly, you should be able to open your data file or database and see the entry for the respective machine. Now click the File > Save As menu option and save the configuration as “BGInfoCapture.bgi”.   Deploying to Client Machines Deployment to the respective client machines is pretty straightforward. No installation is required as you just need to copy the BGInfo.exe and the BGInfoCapture.bgi to each machine and place them in the same directory. Once in place, just run the command: BGInfo.exe BGInfoCapture.bgi /Timer:0 /Silent /NoLicPrompt Of course, you probably want to schedule the capture process to run on a schedule. This command creates a Scheduled Task to run the capture process at 8 AM every morning and assumes you copied the required files to the root of your C drive: SCHTASKS /Create /SC DAILY /ST 08:00 /TN “System Info” /TR “C:\BGInfo.exe C:\BGInfoCapture.bgi /Timer:0 /Silent /NoLicPrompt” Adjust as needed, but the end result is the scheduled task command should look something like this:   Download BGInfo from Sysinternals Latest Features How-To Geek ETC How To Create Your Own Custom ASCII Art from Any Image How To Process Camera Raw Without Paying for Adobe Photoshop How Do You Block Annoying Text Message (SMS) Spam? How to Use and Master the Notoriously Difficult Pen Tool in Photoshop HTG Explains: What Are the Differences Between All Those Audio Formats? How To Use Layer Masks and Vector Masks to Remove Complex Backgrounds in Photoshop Bring Summer Back to Your Desktop with the LandscapeTheme for Chrome and Iron The Prospector – Home Dash Extension Creates a Whole New Browsing Experience in Firefox KinEmote Links Kinect to Windows Why Nobody Reads Web Site Privacy Policies [Infographic] Asian Temple in the Snow Wallpaper 10 Weird Gaming Records from the Guinness Book

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  • 3D game engine for networked world simulation / AI sandbox

    - by Martin
    More than 5 years ago I was playing with DirectSound and Direct3D and I found it really exciting although it took much time to get some good results with C++. I was a college student then. Now I have mostly enterprise development experience in C# and PHP, and I do it for living. There is really no chance to earn money with serious game development in our country. Each day more and more I find that I miss something. So I decided to spend an hour or so each day to do programming for fun. So my idea is to build a world simulation. I would like to begin with something simple - some human-like creatures that live their life - like Sims 3 but much more simple, just basic needs, basic animations, minimum graphic assets - I guess it won't be a city but just a large house for a start. The idea is to have some kind of a server application which stores the world data in MySQL database, and some client applications - body-less AI bots which simulate movement and some interactions with the world and each other. But it wouldn't be fun without 3D. So there are also 3D clients - I can enter that virtual world and see the AI bots living. When the bot enters visible area, it becomes material - loads a mesh and animations, so I can see it. When I leave, the bots lose their 3d mesh bodies again, but their virtual life still continues. With time I hope to make it like some expandable scriptable sandbox to experiment with various AI algorithms and so on. But I am not intended to create a full-blown MMORPG :D I have looked for many possible things I would need (free and open source) and now I have to make a choice: OGRE3D + enet (or RakNet). Old good C++. But won't it slow me down so much that I won't have fun any more? CrystalSpace. Formally not a game engine but very close to that. C++ again. MOgre (OGRE3D wrapper for .NET) + lidgren (networking library which is already used in some gaming projects). Good - I like C#, it is good for fast programming and also can be used for scripting. XNA seems just a framework, not an engine, so really have doubts, should I even look at XNA Game Studio :( Panda3D - full game engine with positive feedback. I really like idea to have all the toolset in one package, it has good reviews as a beginner-friendly engine...if you know Python. On the C++ side, Panda3D has almost non-existent documentation. I have 0 experience with Python, but I've heard it is easy to learn. And if it will be fun and challenging then I guess I would benefit from experience in one more programming language. Which of those would you suggest, not because of advanced features or good platform support but mostly for fun, easy workflow and expandability, and so I can create and integrate all the components I need - the server with the database, AI bots and a 3D client application?

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