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  • AIF or Data Migration Framework [AX 2012]

    - by Tito
    I was importing some entities to AX 2012 using AIF and consuming the web services through an C# ASP.Net application. I already made it for Customers,Vendors,Workers,Chart of Accounts and now starting General Journals. Some customization I could find a workaround using the AIF Document Service Wizard: Creating the DUNS number using a service for the DirDunsNumber table, later associating the customer with the new created DUNS Number. On the Products data migration will need a lot of customization like this. This month I heard the annoucement that there is this new framework (Data Migration Framework), still in beta version. I would like to know if the Data Migration Framework would cover all of these customizations ? What are the advantages of this new framework over AIF ?

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  • cleaned_data() doesn't have some of the entered data

    - by SC Ghost
    I have a simple form for a user to enter in Name (CharField), Age(IntegerField), and Sex(ChoiceField). However the data that is taken from the Sex choice field is not showing up in my cleaned_data(). Using a debugger, I can clearly see that the data is being received in the correct format but as soon as I do form.cleaned_data() all sign of my choice field data is gone. Any help would be greatly appreciated. Here is the relative code: class InformationForm(forms.Form): Name = forms.CharField() Age = forms.IntegerField() Sex = forms.ChoiceField(SEX_CHOICES, required=True) def get_information(request, username): if request.method == 'GET': form = InformationForm() else: form = RelativeForm(request.POST) if form.is_valid(): relative_data = form.cleaned_data

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  • CORE DATA objectId changes constantly

    - by mongeta
    Hello, I have some data that I export into an XML file and put in a remote FTP Server. I have to identified each object with a unique attribute, it doesn't matter wich is, but must be persistent always = it can never change. I don't want to create a unique attribute, sequence, serial, etc. I'm using the objectID but every time I use it a get a new reference. I know that before the object has been saved, it has a 'temporal id', but once it's saved, it gets the definitive. I'm not seeing this, never. When I export, just fetch all data and loop, and always I get a new reference: NSURL *objectID = [[personalDataObject objectID] URIRepresentation]; // some of id received for the SAME OBJECT (no changes made, saved, ...) // 61993296 // 62194624 thanks, r. edit I was using %d instead of %@, now the returned data is: x-coredata://F46F3300-8FED-4876-B0BF-E4D2A9D80913/DataEntered/p1 x-coredata://F46F3300-8FED-4876-B0BF-E4D2A9D80913/DataEntered/p2

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  • Excel data connection - remove header row?

    - by ekoner
    The excel spreadsheet is connecting to SQL server 2005 using the connection string below: Provider=SQLOLEDB.1;Integrated Security=SSPI;Persist Security Info=True;Initial Catalog=XXXXXX;Data Source=XXXXXX;Extended Properties="HDR=No";Use Procedure for Prepare=1;Auto Translate=True;Packet Size=4096;Workstation ID=XXXXXX;Use Encryption for Data=False;Tag with column collation when possible=False It then pulls data from a view into Excel. The business user wants this information without a header row. This will allow her to review then save as a "headless" csv in SAGE file format. I attempted to alter the connection string by adding HDR=No but that hasn't worked. Additionally, I can't delete the header row. Deleting the content replaces the column names with "Column 1" etc. Any ideas appreciated!

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  • jQuery.post dynamic data callback function

    - by FFish
    I have a script that requires quite e few seconds of processing, up to about minute. The script resizes an array of images, sharpens them and finally zips them up for the user to download. Now I need some sort of progress messages. I was thinking that with jQuery's .post() method the data from the callback function would progressively update, but that doesn't seem to work. In my example I am just using a loop to simulate my script: $(document).ready(function() { $('a.loop').click(function() { $.post('loop.php', {foo:"bar"}, function(data) { $("div").html(data); }); return false; }); }); loop.php: for ($i = 0; $i <= 100; $i++) { echo $i . "<br />"; } echo "done";

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  • How does jQuery .data() work?

    - by kazanaki
    My Javascript knowledge is pretty limited. Instead of asking several javascript questions I got the "message" from Stack overflow and started using jQuery right away in order to save me some time. However several times I do not undestand the "magic" behind jQuery and I would love to learn the details. I want to use .data() in my application. The examples are very helpful. I do not understand however WHERE these values are stored. I inspect the webpage with Firebug and as soon as .data() saves an object to a dom element, I do not see any change in Firebug (either HTML or Dom tabs). I tried to look at jQuery source, but it is very advanced for my Javascript knowledge and I lost myself. So the question is: Where do the values stored by jQuery.data() actually go? Can I inspect/locate/list/debug them using a tool?

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  • WPF/.NET data access models - resource recommendations

    - by jasonk
    We're in the early design/prep phases of transferring/updating a rather large "legacy" 3 tier client-server app to a new version. We’re looking at doing WPF over Winforms as it appears to be the direction Microsoft is pushing development of the future and we’d like the maximize the life cycle/span of the apps. That said during the rewrite we’d like to make as many changes to our data access/presentation model to improve performance as much as possible up front as many. I’ve been doing some research along that vein but the vast majority of the resources I've found that discuss WPF focus only simple data tracking apps or focus on the very basics UI design/controls. The few items that even discuss data presentation are fairly elementary in depth. Are there any books/articles/recommended reading/other resources recommended for development related to large enterprise level business apps? Any “gotchas” that should/could be avoided? General advice to minimize the time underwater

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  • Oracle NoSQL Database: Cleaner Performance

    - by Charles Lamb
    In an earlier post I noted that Berkeley DB Java Edition cleaner performance had improved significantly in release 5.x. From an Oracle NoSQL Database point of view, this is important because Berkeley DB Java Edition is the core storage engine for Oracle NoSQL Database. Many contemporary NoSQL Databases utilize log based (i.e. append-only) storage systems and it is well-understood that these architectures also require a "cleaning" or "compaction" mechanism (effectively a garbage collector) to free up unused space. 10 years ago when we set out to write a new Berkeley DB storage architecture for the BDB Java Edition ("JE") we knew that the corresponding compaction mechanism would take years to perfect. "Cleaning", or GC, is a hard problem to solve and it has taken all of those years of experience, bug fixes, tuning exercises, user deployment, and user feedback to bring it to the mature point it is at today. Reports like Vinoth Chandar's where he observes a 20x improvement validate the maturity of JE's cleaner. Cleaner performance has a direct impact on predictability and throughput in Oracle NoSQL Database. A cleaner that is too aggressive will consume too many resources and negatively affect system throughput. A cleaner that is not aggressive enough will allow the disk storage to become inefficient over time. It has to Work well out of the box, and Needs to be configurable so that customers can tune it for their specific workloads and requirements. The JE Cleaner has been field tested in production for many years managing instances with hundreds of GBs to TBs of data. The maturity of the cleaner and the entire underlying JE storage system is one of the key advantages that Oracle NoSQL Database brings to the table -- we haven't had to reinvent the wheel.

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  • mysql data type confusion

    - by zen
    So this is more of a generalized question about MySQLs data types. I'd like to store a 5-digit US zip code (zip_code) properly in this example. A county has 10 different cities and 5 different zip codes. city | zip code -------+---------- city 0 | 33333 city 1 | 11111 city 2 | 22222 city 3 | 33333 city 4 | 44444 city 5 | 55555 city 6 | 33333 city 7 | 33333 city 8 | 44444 city 9 | 22222 I would typically structure a table like this as varchar(50), int(5) and not think twice about it. (1) If we wanted to ensure that this table had only one of 5 different zip codes we should use the enum data type, right? Now think of a similar scenario on a much larger scale. In a state, there are five-hundred cities with 418 different zip codes. (2) Should I store 418 zip codes as an enum data type OR as an int and create another table to reference?

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  • Managing changes in memory-based data format

    - by kamziro
    So I've been using a compact data type in c++, and saving from memory or loading from the file involves just copying the bits of memory in and out. However, the obvious drawback of this is that if you need to add/remove elements on the data, it becomes kind of messy. There's also problems with versioning, suppose you distribute a program which uses version A of the data, and then the next day you make version B of it, and then later on version C. I suppose this can be solved by using something like xml or json. But suppose you can't do that for technical reasons. What is the best way to do this, apart from having to make different if cases etc (which would be pretty ugly, I'd imagine)

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  • Migrating a Core Data Store from iCloud to local

    - by schmok
    I'm currently struggling with Core Data iCloud migration. I want to move a store from an iCloud ubiquity container (.nosync) to a local URL. Problem is whenever I call something like this: NSPersistentStore *newStore = [self.persistentStoreCoordinator migratePersistentStore: currentiCloudStore toURL: localURL options: nil withType: NSSQLiteStoreType error: &error]; I get this error: -[NSPersistentStoreCoordinator addPersistentStoreWithType:configuration:URL:options:error:](1055): CoreData: Ubiquity: Error: A persistent store which has been previously added to a coordinator using the iCloud integration options must always be added to the coordinator with the options present in the options dictionary. If you wish to use the store without iCloud, migrate the data from the iCloud store file to a new store file in local storage. file://localhost/Users/sch/Library/Containers/bla/Data/Documents/tmp.sqlite. This will be a fatal error in a future release Anyone ever seen this error? Maybe I'm just missing the right migration options?

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  • Can you Export/Import Flex (4) Data Services?

    - by mkraken
    Flex newb here. I'm working in flashbuilder 4 (flex4?), and am being asked to create the client-side data services integration 'layer' in a flex app. There is another team working on the actual UI/Presentation. Both parts must be deployed in a single swf. If I use the data/services wizard to build out my service connections (and generate the ActionScript), is it possible to export these 'connections' so that they can easily be imported into another project? Or must they be defined through the wizard all over again? The other team wants to be able to see the connections appear in the new project's Data/Services inspector (IDE Tab). Thanks!

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  • Error in Using Dynamic Data Entities WebSite in VS2012

    - by amin behzadi
    I decided to use Dynamic Data Entities website in vs2012. So, I created this website,then added App_Code directory and added a new edmx to it and named it myDB.edmx. After that I uncommented the code line in global.asax which registers the entity context : DefaultModel.RegisterContext(typeof(myDBEntities), new ContextConfiguration() { ScaffoldAllTables = true }); But when I run the website this error occurs : The context type 'myDBEntities' is not supported. how can I fix it? p.s: You now there are some differences between using L2S by Dynamic Data L2S website AND using entity framework by Dynamic Data Entities website.

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  • Problems persisting Core Data structures on iPhone/iPad

    - by Rivier
    I have an iPhone/iPad app using Core Data to keep my application data. Sometimes, even though I don't get any error messages, the data is not really saved so when the app starts anew, it's all gone. This problem seems to disappear after physically rebooting the device, but otherwise it's pretty random and hard to track. Has anyone seen a similar issue? Also, it seems to happen more often in the iPhone 1st generation, less so in the 3G/3GS, and seldom in the iPad. Very strange...

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  • Using ConcurrentQueue for thread-safe Performance Bookkeeping.

    - by Strenium
    Just a small tidbit that's sprung up today. I had to book-keep and emit diagnostics for the average thread performance in a highly-threaded code over a period of last X number of calls and no more. Need of the day: a thread-safe, self-managing stats container. Since .NET 4.0 introduced new thread-safe 'Collections.Concurrent' objects and I've been using them frequently - the one in particular seemed like a good fit for storing each threads' performance data - ConcurrentQueue. But I wanted to store only the most recent X# of calls and since the ConcurrentQueue currently does not support size constraint I had to come up with my own generic version which attempts to restrict usage to numeric types only: unfortunately there is no IArithmetic-like interface which constrains to only numeric types – so the constraints here here aren't as elegant as they could be. (Note the use of the Average() method, of course you can use others as well as make your own).   FIFO FixedSizedConcurrentQueue using System;using System.Collections.Concurrent;using System.Linq; namespace xxxxx.Data.Infrastructure{    [Serializable]    public class FixedSizedConcurrentQueue<T> where T : struct, IConvertible, IComparable<T>    {        private FixedSizedConcurrentQueue() { }         public FixedSizedConcurrentQueue(ConcurrentQueue<T> queue)        {            _queue = queue;        }         ConcurrentQueue<T> _queue = new ConcurrentQueue<T>();         public int Size { get { return _queue.Count; } }        public double Average { get { return _queue.Average(arg => Convert.ToInt32(arg)); } }         public int Limit { get; set; }        public void Enqueue(T obj)        {            _queue.Enqueue(obj);            lock (this)            {                T @out;                while (_queue.Count > Limit) _queue.TryDequeue(out @out);            }        }    } }   The usage case is straight-forward, in this case I’m using a FIFO queue of maximum size of 200 to store doubles to which I simply Enqueue() the calculated rates: Usage var RateQueue = new FixedSizedConcurrentQueue<double>(new ConcurrentQueue<double>()) { Limit = 200 }; /* greater size == longer history */   That’s about it. Happy coding!

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  • Database Partitioning and Multiple Data Source Considerations

    - by Jeffrey McDaniel
    With the release of P6 Reporting Database 3.0 partitioning was added as a feature to help with performance and data management.  Careful investigation of requirements should be conducting prior to installation to help improve overall performance throughout the lifecycle of the data warehouse, preventing future maintenance that would result in data loss. Before installation try to determine how many data sources and partitions will be required along with the ranges.  In P6 Reporting Database 3.0 any adjustments outside of defaults must be made in the scripts and changes will require new ETL runs for each data source.  Considerations: 1. Standard Edition or Enterprise Edition of Oracle Database.   If you aren't using Oracle Enterprise Edition Database; the partitioning feature is not available. Multiple Data sources are only supported on Enterprise Edition of Oracle   Database. 2. Number of Data source Ids for partitioning during configuration.   This setting will specify how many partitions will be allocated for tables containing data source information.  This setting requires some evaluation prior to installation as       there are repercussions if you don't estimate correctly.   For example, if you configured the software for only 2 data sources and the partition setting was set to 2, however along came a 3rd data source.  The necessary steps to  accommodate this change are as follows: a) By default, 3 partitions are configured in the Reporting Database scripts. Edit the create_star_tables_part.sql script located in <installation directory>\star\scripts   and search for partition.  You’ll see P1, P2, P3.  Add additional partitions and sub-partitions for P4 and so on. These will appear in several areas.  (See P6 Reporting Database 3.0 Installation and Configuration guide for more information on this and how to adjust partition ranges). b) Run starETL -r.  This will recreate each table with the new partition key.  The effect of this step is that all tables data will be lost except for history related tables.   c) Run starETL for each of the 3 data sources (with the data source # (starETL.bat "-s2" -as defined in P6 Reporting Database 3.0 Installation and Configuration guide) The best strategy for this setting is to overestimate based on possible growth.  If during implementation it is deemed that there are atleast 2 data sources with possibility for growth, it is a better idea to set this setting to 4 or 5, allowing room for the future and preventing a ‘start over’ scenario. 3. The Number of Partitions and the Number of Months per Partitions are not specific to multi-data source.  These settings work in accordance to a sub partition of larger tables with regard to time related data.  These settings are dataset specific for optimization.  The number of months per partition is self explanatory, optimally the smaller the partition, the better query performance so if the dataset has an extremely large number of spread/history records, a lower number of months is optimal.  Working in accordance with this setting is the number of partitions, this will determine how many "buckets" will be created per the number of months setting.  For example, if you kept the default for # of partitions of 3, and select 2 months for each partitions you would end up with: -1st partition, 2 months -2nd partition, 2 months -3rd partition, all the remaining records Therefore with records to this setting, it is important to analyze your source db spread ranges and history settings when determining the proper number of months per partition and number of partitions to optimize performance.  Also be aware the DBA will need to monitor when these partition ranges will fill up and when additional partitions will need to be added.  If you get to the final range partition and there are no additional range partitions all data will be included into the last partition. 

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  • Data Source Security Part 1

    - by Steve Felts
    I’ve written a couple of articles on how to store data source security credentials using the Oracle wallet.  I plan to write a few articles on the various types of security available to WebLogic Server (WLS) data sources.  There are more options than you might think! There have been several enhancements in this area in WLS 10.3.6.  There are a couple of more enhancements planned for release WLS 12.1.2 that I will include here for completeness.  This isn’t intended as a teaser.  If you call your Oracle support person, you can get them now as minor patches to WLS 10.3.6.   The current security documentation is scattered in a few places, has a few incorrect statements, and is missing a few topics.  It also seems that the knowledge of how to apply some of these features isn’t written down.  The goal of these articles is to talk about WLS data source security in a unified way and to introduce some approaches to using the available features.  Introduction to WebLogic Data Source Security Options By default, you define a single database user and password for a data source.  You can store it in the data source descriptor or make use of the Oracle wallet.  This is a very simple and efficient approach to security.  All of the connections in the connection pool are owned by this user and there is no special processing when a connection is given out.  That is, it’s a homogeneous connection pool and any request can get any connection from a security perspective (there are other aspects like affinity).  Regardless of the end user of the application, all connections in the pool use the same security credentials to access the DBMS.   No additional information is needed when you get a connection because it’s all available from the data source descriptor (or wallet). java.sql.Connection conn =  mydatasource.getConnection(); Note: You can enter the password as a name-value pair in the Properties field (this not permitted for production environments) or you can enter it in the Password field of the data source descriptor. The value in the Password field overrides any password value defined in the Properties passed to the JDBC Driver when creating physical database connections. It is recommended that you use the Password attribute in place of the password property in the properties string because the Password value is encrypted in the configuration file (stored as the password-encrypted attribute in the jdbc-driver-params tag in the module file) and is hidden in the administration console.  The Properties and Password fields are located on the administration console Data Source creation wizard or Data Source Configuration tab. The JDBC API can also be used to programmatically specify a database user name and password as in the following.  java.sql.Connection conn = mydatasource.getConnection(“user”, “password”); According to the JDBC specification, it’s supposed to take a database user and associated password but different vendors implement this differently.  WLS, by default, treats this as an application server user and password.  The pair is authenticated to see if it’s a valid user and that user is used for WLS security permission checks.  By default, the user is then mapped to a database user and password using the data source credential mapper, so this API sort of follows the specification but database credentials are one-step removed from the application code.  More details and the rationale are described later. While the default approach is simple, it does mean that only one database user is doing all of the work.  You can’t figure out who actually did the update and you can’t restrict SQL operations by who is running the operation, at least at the database level.   Any type of per-user logic will need to be in the application code instead of having the database do it.  There are various WLS data source features that can be configured to provide some per-user information about the operations to the database. WebLogic Data Source Security Options This table describes the features available for WebLogic data sources to configure database security credentials and a brief description.  It also captures information about the compatibility of these features with one another. Feature Description Can be used with Can’t be used with User authentication (default) Default getConnection(user, password) behavior – validate the input and use the user/password in the descriptor. Set client identifier Proxy Session, Identity pooling, Use database credentials Use database credentials Instead of using the credential mapper, use the supplied user and password directly. Set client identifier, Proxy session, Identity pooling User authentication, Multi Data Source Set Client Identifier Set a client identifier property associated with the connection (Oracle and DB2 only). Everything Proxy Session Set a light-weight proxy user associated with the connection (Oracle-only). Set client identifier, Use database credentials Identity pooling, User authentication Identity pooling Heterogeneous pool of connections owned by specified users. Set client identifier, Use database credentials Proxy session, User authentication, Labeling, Multi-datasource, Active GridLink Note that all of these features are available with both XA and non-XA drivers. Currently, the Proxy Session and Use Database Credentials options are on the Oracle tab of the Data Source Configuration tab of the administration console (even though the Use Database Credentials feature is not just for Oracle databases – oops).  The rest of the features are on the Identity tab of the Data Source Configuration tab in the administration console (plan on seeing them all in one place in the future). The subsequent articles will describe these features in more detail.  Keep referring back to this table to see the big picture.

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  • Designing a table to store EXIF data

    - by rafale
    I'm looking to get the best performance out of querying a table containing EXIF data. The queries in question will only search the EXIF data for the specified strings and return the row index on a match. With that said, would it better to store the EXIF data in a table with separate columns for each of the tags, or would storing all of the tags in a single column as one long delimited string suit me just as well? There are around 115 EXIF tags I'll be storing, and each record would be around 1500 to 2000 chars in length if concatenated into a single string.

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  • Performance impact of Zones.

    - by nospam(at)example.com (Joerg Moellenkamp)
    I was really astonished when i saw this question. Because this question was a old acquaintance from years ago, that i didn't heard for a long time. However there was it again. The question: "What's the overhead of Zones?". Sun was and Oracle is not saying "zero". We saying saying minimal. However during all the performance analysis gigs on customer systems i made since the introduction of Zones i failed to measure any overhead caused by zones. What i saw however, was additional load intoduced by processes that wouldn't be there when you would use only one zone Like additional monitoring daemons, like additional daemons having a controlling or supervising job for the application that resulted in slighly longer runtimes of processes, because such additional daemons wanted some cycles on the CPU as well. So i ask when someone wants to tell me that he measured a slight slowdown, if he or she has really measured the impact of the virtualization layer or of a side effect described above. It seems to be a little bit hard to believe, that a virtualisation technology has no overhead, however keep in mind that there is no hypervisor and just one kernel running that looks and behaves like many operating system instances to apps and users. While this imposes some limits to the technology (because there is just one kernel running you can't have zones with different kernels versions running ... obvious even to the cursory observer), but that is key to it's lightweightness and thus to the low overhead. Continue reading "Performance impact of Zones."

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  • Data frame linear fit in R

    - by user1247384
    This is perhaps a simple question, but I am n00b.Say I have a data frame with a bunch of columns. I need to call lm function over the column 1 and 2, 1 and 3, and so on. So basically I need to loop over all columns and store the results of the fit as I build the model. The problem I am running into is that lm(df[1]~df[2], data = df) doesnt work. In this case df is the data frame object and df[1] is the first column. What is a good way to do this in a loop, as in access the columns of df in an iterative fashion. Thanks.

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  • R: Converting a list of data frames into one data frame

    - by JD Long
    I have code that at one place ends up with a list of data frames which I really want to convert to a single big data frame. I got some pointers from an earlier question which was trying to do something similar but more complex. Here's an example of what I am starting with (this is grossly simplified for illustration): listOfDataFrames <- NULL for (i in 1:100) { listOfDataFrames[[i]] <- data.frame(a=sample(letters, 500, rep=T), b=rnorm(500), c=rnorm(500)) } I am currently using this: df <- do.call("rbind", listOfDataFrames) *EDIT* whoops. In my haste to implement what I had "learned" in a previous question I totally screwed up. Yes, the unlist() is just plain wrong. I'm editing that out of the question above.

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  • How to reduce the number of points in (x,y) data

    - by Gowtham
    I have a set of data points: (x1, y1) (x2, y2) (x3, y3) ... (xn, yn) The number of sample points can be thousands. I want to represent the same curve as accurately as possible with minimal (lets suppose 30) set of points. I want to capture as many inflection points as possible. However, I have a hard limit on the number of allowed points to represent the data. What is the best algorithm to achieve the same? Is there any free software library that can help? PS: I have tried to implement relative slope difference based point elimination, but this does not always result in the best possible data representation. Thanks for your time. -Gowtham

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  • Program-wide data, C++

    - by bobobobo
    I'd like to make program-wide data in a C++ program. The easiest way to do it in C# is just public static members. C#: public static class DataContainer { public static Object data1 ; public static Object data2 ; } In C++ you can do the same thing C++ global data way#1: class DataContainer { public: static Object data1 ; static Object data2 ; } ; Object DataContainer::data1 ; Object DataContainer::data2 ; However there's also extern C++ global data way #2: class DataContainer { public: Object data1 ; Object data2 ; } ; extern DataContainer * dataContainer ; // instantiate in .cpp file Which is better, or possibly another way which I haven't thought about?

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  • tsql sum data and include default values for missing data

    - by markpirvine
    Hi, I would like a query that will shouw a sum of columns with a default value for missing data. For example assume I have a table as follows: type_lookup: id name 1 self 2 manager 3 peer And a table as follows data: id type_lookup_id value 1 1 1 2 1 4 3 2 9 4 2 1 5 2 9 6 1 5 7 2 6 8 1 2 9 1 1 After running a query I would like a result set as follows: type_lookup_id value 1 13 2 25 3 0 I would like all rows in type_lookup table to be included in the result set - even if they don't appear in the data table. Any help would be greatly appreciated, Mark

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  • OpenGL : sluggish performance in extracting texture from GPU

    - by Cyan
    I'm currently working on an algorithm which creates a texture within a render buffer. The operations are pretty complex, but for the GPU this is a simple task, done very quickly. The problem is that, after creating the texture, i would like to save it. This requires to extract it from GPU memory. For this operation, i'm using glGetTexImage(). It works, but the performance is sluggish. No, i mean even slower than that. For example, an 8MB texture (uncompressed) requires 3 seconds (yes, seconds) to be extracted. That's mind puzzling. I'm almost wondering if my graphic card is connected by a serial link... Well, anyway, i've looked around, and found some people complaining about the same, but no working solution so far. The most promising advise was to "extract data in the native format of the GPU". Which i've tried and tried, but failed so far. Edit : by moving the call to glGetTexImage() in a different place, the speed has been a bit improved for the most dramatic samples : looking again at the 8MB texture, it knows requires 500ms, instead of 3sec. It's better, but still much too slow. Smaller texture sizes were not affected by the change (typical timing remained into the 60-80ms range). Using glFinish() didn't help either. Note that, if i call glFinish() (without glGetTexImage), i'm getting a fixed 16ms result, whatever the texture size or complexity. It really looks like the timing for a frame at 60fps. The timing is measured for the full rendering + saving sequence. The call to glGetTexImage() alone does not really matter. That being said, it is this call which changes the performance. And yes, of course, as stated at the beginning, the texture is "created into the GPU", hence the need to save it.

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