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  • Dealing with asynchronous control structures (Fluent Interface?)

    - by Christophe Herreman
    The initialization code of our Flex application is doing a series of asynchronous calls to check user credentials, load external data, connecting to a JMS topic, etc. Depending on the context the application runs in, some of these calls are not executed or executed with different parameters. Since all of these calls happen asynchronously, the code controlling them is hard to read, understand, maintain and test. For each call, we need to have some callback mechanism in which we decide what call to execute next. I was wondering if anyone had experimented with wrapping these calls in executable units and having a Fluent Interface (FI) that would connect and control them. From the top of my head, the code might look something like: var asyncChain:AsyncChain = execute(LoadSystemSettings) .execute(LoadAppContext) .if(IsAutologin) .execute(AutoLogin) .else() .execute(ShowLoginScreen) .etc; asyncChain.execute(); The AsyncChain would be an execution tree, build with the FI (and we could of course also build one without a FI). This might be an interesting idea for environments that run in a single threaded model like the Flash Player, Silverlight, JavaFX?, ... Before I dive into the code to try things out, I was hoping to get some feedback.

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  • Saving tree-structures in Databases

    - by Nina Null
    Hello everyone. I use Hibernate/Spring and a MySQL Database for my data management. Currently I display a tree-structure in a JTable. A tree can have several branches, in turn a branch can have several branches (up to nine levels) again, or having leaves. Lately I have performanceproblemes, as soon as I want to create new branches on deeper levels. At this time a branch has a foreign key to its parent. The domainobject has access to its parent by calling getParent(), which returns the parent-branch. The deeper the level, the longer it takes to create a new branch. Microbenchmark results for creating a new branch are like: Level 1: 32 ms. Level 3: 80 ms. Level 9: 232 ms. Obviously the level (which means the number of parents) is responsible for this. So I wanted to ask, if there are any appendages to work around this kind of problem. I don’t understand why Hibernate needs to know about the whole object tree (all parents until the root) while creating a new branch. But as far as I know this can be the only reason for the delay while creating a new branch, because a branch doesn’t have any other relations to any other objects. I would be very thankful for any workarounds or suggestions. greets, jambusa

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  • SQLAuthority News – List of Master Data Services White Paper

    - by pinaldave
    Since my TechEd India 2010 presentation I am very excited with SQL Server 2010 MDS. I just come across very interesting white paper on Microsoft site related to this subject. Here is the list of the same and location where you can download them. They are all written by Top Experts at Microsoft. Master Data Management from a Business Perspective - Download a PDF version or an XPS version Master Data Management from a Technical Perspective - Download a PDF version or an XPS version Bringing Master Data Management to the Stakeholders - Download a PDF version or an XPS version Implementing a Phased Approach to Master Data Management - Download a PDF version or an XPS version SharePoint Workflow Integration with Master Data Services - Read it here. Reference : Pinal Dave (http://blog.SQLAuthority.com) Filed under: SQL, SQL Authority, SQL Documentation, SQL Download, SQL Query, SQL Server, SQL Tips and Tricks, SQL White Papers, T SQL

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  • Offloading (Some) EBS 12 Reporting to Active Data Guard Instances

    - by Steven Chan
    For most Oracle Database users, Oracle Active Data Guard allows users to:Create a physical standby database for business continuity and disaster recoveryOffload reporting from the production database to the read-only physical standby databaseE-Business Suite customers have been able to use Active Data Guard to create physical standby databases for their EBS environments since the feature was introduced with the 11g Database.  EBS sysadmins can use the generic Active Data Guard documentation to take advantage of the Active Data Guard standby database capabilities.  I am pleased to announce that it is now possible to offload a subset of some ReportWriter-based reports -- but not all -- from a production EBS environment to an Active Data Guard physical standby database.  But before I go into the details of this newly-certified configuration, it's necessary to understand some details about what happens whenever someone attempts to access the E-Business Suite.

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  • Pre-filtering and shaping OData feeds using WCF Data Services and the Entity Framework - Part 2

    - by rajbk
    In the previous post, you saw how to create an OData feed and pre-filter the data. In this post, we will see how to shape the data. A sample project is attached at the bottom of this post. Pre-filtering and shaping OData feeds using WCF Data Services and the Entity Framework - Part 1 Shaping the feed The Product feed we created earlier returns too much information about our products. Let’s change this so that only the following properties are returned – ProductID, ProductName, QuantityPerUnit, UnitPrice, UnitsInStock. We also want to return only Products that are not discontinued.  Splitting the Entity To shape our data according to the requirements above, we are going to split our Product Entity into two and expose one through the feed. The exposed entity will contain only the properties listed above. We will use the other Entity in our Query Interceptor to pre-filter the data so that discontinued products are not returned. Go to the design surface for the Entity Model and make a copy of the Product entity. A “Product1” Entity gets created.   Rename Product1 to ProductDetail. Right click on the Product entity and select “Add Association” Make a one to one association between Product and ProductDetails.   Keep only the properties we wish to expose on the Product entity and delete all other properties on it (see diagram below). You delete a property on an Entity by right clicking on the property and selecting “delete”. Keep the ProductID on the ProductDetail. Delete any other property on the ProductDetail entity that is already present in the Product entity. Your design surface should look like below:    Mapping Entity to Database Tables Right click on “ProductDetail” and go to “Table Mapping”   Add a mapping to the “Products” table in the Mapping Details.   After mapping ProductDetail, you should see the following.   Add a referential constraint. Lets add a referential constraint which is similar to a referential integrity constraint in SQL. Double click on the Association between the Entities and add the constraint with “Principal” set to “Product”. Let us review what we did so far. We made a copy of the Product entity and called it ProductDetail We created a one to one association between these entities Excluding the ProductID, we made sure properties were not duplicated between these entities  We added a ProductDetail entity to Products table mapping (Entity to Database). We added a referential constraint between the entities. Lets build our project. We get the following error: ”'NortwindODataFeed.Product' does not contain a definition for 'Discontinued' and no extension method 'Discontinued' accepting a first argument of type 'NortwindODataFeed.Product' could be found …" The reason for this error is because our Product Entity no longer has a “Discontinued” property. We “moved” it to the ProductDetail entity since we want our Product Entity to contain only properties that will be exposed by our feed. Since we have a one to one association between the entities, we can easily rewrite our Query Interceptor like so: [QueryInterceptor("Products")] public Expression<Func<Product, bool>> OnReadProducts() { return o => o.ProductDetail.Discontinued == false; } Similarly, all “hidden” properties of the Product table are available to us internally (through the ProductDetail Entity) for any additional logic we wish to implement. Compile the project and view the feed. We see that the feed returns only the properties that were part of the requirement.   To see the data in JSON format, you have to create a request with the following request header Accept: application/json, text/javascript, */* (easy to do in jQuery) The result should look like this: { "d" : { "results": [ { "__metadata": { "uri": "http://localhost.:2576/DataService.svc/Products(1)", "type": "NorthwindModel.Product" }, "ProductID": 1, "ProductName": "Chai", "QuantityPerUnit": "10 boxes x 20 bags", "UnitPrice": "18.0000", "UnitsInStock": 39 }, { "__metadata": { "uri": "http://localhost.:2576/DataService.svc/Products(2)", "type": "NorthwindModel.Product" }, "ProductID": 2, "ProductName": "Chang", "QuantityPerUnit": "24 - 12 oz bottles", "UnitPrice": "19.0000", "UnitsInStock": 17 }, { ... ... If anyone has the $format operation working, please post a comment. It was not working for me at the time of writing this.  We have successfully pre-filtered our data to expose only products that have not been discontinued and shaped our data so that only certain properties of the Entity are exposed. Note that there are several other ways you could implement this like creating a QueryView, Stored Procedure or DefiningQuery. You have seen how easy it is to create an OData feed, shape the data and pre-filter it by hardly writing any code of your own. For more details on OData, Google it with your favorite search engine :-) Also check out the one of the most passionate persons I have ever met, Pablo Castro – the Architect of Aristoria WCF Data Services. Watch his MIX 2010 presentation titled “OData: There's a Feed for That” here. Download Sample Project for VS 2010 RTM NortwindODataFeed.zip

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  • SQL Server DATA Tools CTP4 Released!

    - by hassanfadili
    SQL Server team has released the new SQL Server Data Tools CTP4. Congratulations and Thanks to Gert Drapers and his team with this great milestone. To lear more about this SSDT CTP4 Release, check: What’s new in SQL Server Data Tools CTP4?http://blogs.msdn.com/b/ssdt/archive/2011/11/21/what-s-new-in-sql-server-data-tools-ctp4.aspxSQL Server Data Tools CTP4 vs. VS2010 Database Projectshttp://blogs.msdn.com/b/ssdt/archive/2011/11/21/sql-server-data-tools-ctp4-vs-vs2010-database-projects.aspxTop VSDB->SSDT Project Conversion Issueshttp://blogs.msdn.com/b/ssdt/archive/2011/11/21/top-vsdb-gt-ssdt-project-conversion issues.aspxUninstalling SQL Server Developer Tools CTP3 (Code-named “Juneau”) http://blogs.msdn.com/b/ssdt/archive/2011/11/21/uninstalling-ssdt-ctp3-code-named-juneau.aspxThis actually points to a nifty PowerShell script to help you uninstall.Have Fun.v

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  • Metalanguage like BNF or XML-Schema to validate a tree-instance against a tree-model

    - by Stefan
    Hi! I'm implementing a new machine learning algorithm in Java that extracts a prototype datastructure from a set of structured datasets (tree-structure). As im developing a generic library for that purpose, i kept my design independent from concrete data-representations like XML. My problem now is that I need a way to define a data model, which is basically a ruleset describing valid trees, against which a set of trees is being matched. I thought of using BNF or a similar dialect. Basically I need a way to iterate through the space of all valid TreeNodes defined by the ModelTree (Like a search through the search space for algorithms like A*) so that i can compare my set of concrete trees with the model. I know that I'll have to deal with infinite spaces there but first things first. I know, it's rather tricky (and my sentences are pretty bumpy) but I would appreciate any clues. Thanks in advance, Stefan

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  • ODI 11g - Oracle Data Integrator 11g – A Hands-On Tutorial

    - by David Allan
    I've have been asked by Packt publishing to review a brand new book on Oracle Data Integrator: Getting Started with Oracle Data Integrator 11g – A Hands-On Tutorial. Waiting on this book to arrive and see what goodies are inside, I'll blog a review later. The book can be found at Oracle Data Integrator 11g – A Hands-On Tutorial Looking at the table of contents, it looks like it gives a good broad introduction (including various data formats) to the product; Chapter 1: Product Overview Chapter 2: Product Installation Chapter 3: Using Variables Chapter 4: ODI Sources, Targets, and Knowledge Modules Chapter 5: Working with Databases Chapter 6: Working with MySQL Chapter 7: Working with Microsoft SQL Server Chapter 8: Integrating File Data Chapter 9: Working with XML Files Chapter 10: Creating Workflows—Packages and Load Plans Chapter 11: Error Management Chapter 12: Managing and Monitoring ODI Components Chapter 13: Concluding Remarks Looking forward to it.

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  • SSIS Snack: Data Flow Source Adapters

    - by andyleonard
    Introduction Configuring a Source Adapter in a Data Flow Task couples (binds) the Data Flow to an external schema. This has implications for dynamic data loads. "Why Can't I...?" I'm often asked a question similar to the following: "I have 17 flat files with different schemas that I want to load to the same destination database - how many Data Flow Tasks do I need?" I reply "17 different schemas? That's easy, you need 17 Data Flow Tasks." In his book Microsoft SQL Server 2005 Integration Services...(read more)

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  • Database structure - To join or not to join

    - by Industrial
    Hi! We're drawing up the database structure with the help of mySQL Workbench for a new app and the number of joins required to make a listing of the data is increasing drastically as the many-to-many relationships increases. The application will be quite read-heavy and have a couple of hundred thousand rows per table. The questions: Is it really that bad to merge tables where needed and thereby reducing joins? Should we start looking at horizontal partitioning? (in conjunction with merging tables) Is there a better way then pivot tables to take care of many-to-many relationships? We discussed about instead storing all data in serialized text columns and having the application make the sorting instead of the database, but this seems like a very bad idea, even though that the database will be heavily cached. What do you think? Thanks!

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  • Talend Enterprise Data Integration overperforms on Oracle SPARC T4

    - by Amir Javanshir
    The SPARC T microprocessor, released in 2005 by Sun Microsystems, and now continued at Oracle, has a good track record in parallel execution and multi-threaded performance. However it was less suited for pure single-threaded workloads. The new SPARC T4 processor is now filling that gap by offering a 5x better single-thread performance over previous generations. Following our long-term relationship with Talend, a fast growing ISV positioned by Gartner in the “Visionaries” quadrant of the “Magic Quadrant for Data Integration Tools”, we decided to test some of their integration components with the T4 chip, more precisely on a T4-1 system, in order to verify first hand if this new processor stands up to its promises. Several tests were performed, mainly focused on: Single-thread performance of the new SPARC T4 processor compared to an older SPARC T2+ processor Overall throughput of the SPARC T4-1 server using multiple threads The tests consisted in reading large amounts of data --ten's of gigabytes--, processing and writing them back to a file or an Oracle 11gR2 database table. They are CPU, memory and IO bound tests. Given the main focus of this project --CPU performance--, bottlenecks were removed as much as possible on the memory and IO sub-systems. When possible, the data to process was put into the ZFS filesystem cache, for instance. Also, two external storage devices were directly attached to the servers under test, each one divided in two ZFS pools for read and write operations. Multi-thread: Testing throughput on the Oracle T4-1 The tests were performed with different number of simultaneous threads (1, 2, 4, 8, 12, 16, 32, 48 and 64) and using different storage devices: Flash, Fibre Channel storage, two stripped internal disks and one single internal disk. All storage devices used ZFS as filesystem and volume management. Each thread read a dedicated 1GB-large file containing 12.5M lines with the following structure: customerID;FirstName;LastName;StreetAddress;City;State;Zip;Cust_Status;Since_DT;Status_DT 1;Ronald;Reagan;South Highway;Santa Fe;Montana;98756;A;04-06-2006;09-08-2008 2;Theodore;Roosevelt;Timberlane Drive;Columbus;Louisiana;75677;A;10-05-2009;27-05-2008 3;Andrew;Madison;S Rustle St;Santa Fe;Arkansas;75677;A;29-04-2005;09-02-2008 4;Dwight;Adams;South Roosevelt Drive;Baton Rouge;Vermont;75677;A;15-02-2004;26-01-2007 […] The following graphs present the results of our tests: Unsurprisingly up to 16 threads, all files fit in the ZFS cache a.k.a L2ARC : once the cache is hot there is no performance difference depending on the underlying storage. From 16 threads upwards however, it is clear that IO becomes a bottleneck, having a good IO subsystem is thus key. Single-disk performance collapses whereas the Sun F5100 and ST6180 arrays allow the T4-1 to scale quite seamlessly. From 32 to 64 threads, the performance is almost constant with just a slow decline. For the database load tests, only the best IO configuration --using external storage devices-- were used, hosting the Oracle table spaces and redo log files. Using the Sun Storage F5100 array allows the T4-1 server to scale up to 48 parallel JVM processes before saturating the CPU. The final result is a staggering 646K lines per second insertion in an Oracle table using 48 parallel threads. Single-thread: Testing the single thread performance Seven different tests were performed on both servers. Given the fact that only one thread, thus one file was read, no IO bottleneck was involved, all data being served from the ZFS cache. Read File ? Filter ? Write File: Read file, filter data, write the filtered data in a new file. The filter is set on the “Status” column: only lines with status set to “A” are selected. This limits each output file to about 500 MB. Read File ? Load Database Table: Read file, insert into a single Oracle table. Average: Read file, compute the average of a numeric column, write the result in a new file. Division & Square Root: Read file, perform a division and square root on a numeric column, write the result data in a new file. Oracle DB Dump: Dump the content of an Oracle table (12.5M rows) into a CSV file. Transform: Read file, transform, write the result data in a new file. The transformations applied are: set the address column to upper case and add an extra column at the end, which is the concatenation of two columns. Sort: Read file, sort a numeric and alpha numeric column, write the result data in a new file. The following table and graph present the final results of the tests: Throughput unit is thousand lines per second processed (K lines/second). Improvement is the % of improvement between the T5140 and T4-1. Test T4-1 (Time s.) T5140 (Time s.) Improvement T4-1 (Throughput) T5140 (Throughput) Read/Filter/Write 125 806 645% 100 16 Read/Load Database 195 1111 570% 64 11 Average 96 557 580% 130 22 Division & Square Root 161 1054 655% 78 12 Oracle DB Dump 164 945 576% 76 13 Transform 159 1124 707% 79 11 Sort 251 1336 532% 50 9 The improvement of single-thread performance is quite dramatic: depending on the tests, the T4 is between 5.4 to 7 times faster than the T2+. It seems clear that the SPARC T4 processor has gone a long way filling the gap in single-thread performance, without sacrifying the multi-threaded capability as it still shows a very impressive scaling on heavy-duty multi-threaded jobs. Finally, as always at Oracle ISV Engineering, we are happy to help our ISV partners test their own applications on our platforms, so don't hesitate to contact us and let's see what the SPARC T4-based systems can do for your application! "As describe in this benchmark, Talend Enterprise Data Integration has overperformed on T4. I was generally happy to see that the T4 gave scaling opportunities for many scenarios like complex aggregations. Row by row insertion in Oracle DB is faster with more than 650,000 rows per seconds without using any bulk Oracle capabilities !" Cedric Carbone, Talend CTO.

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  • Oracle Database 11g Helps Control Exponential Data Growth

    - by [email protected]
    The 2010 ESG annual customer survey is now available. As part of it, ESG interviewed 300 customers about their IT priorities and, unsurprisingly, "Manage Data Growth" is top of the list. Perhaps less self-evident is the proposed solution to target this prime concern: "Often overlooked because it is a database platform, Oracle Database 11g offers additional capabilities such as automatic storage management (ASM), advanced data compression, and data protection that make managing data growth much easier for organizations of any size." The paper goes on to discuss these capabilities and highlights their potential benefits. Oracle Database 11g Helps Control Exponential Database Growth - a worthwhile read for anyone having to deal with rapidly increasing amounts of data. Download your free copy here.

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  • Does software testing methodology rely on flawed data?

    - by Konrad Rudolph
    It’s a well-known fact in software engineering that the cost of fixing a bug increases exponentially the later in development that bug is discovered. This is supported by data published in Code Complete and adapted in numerous other publications. However, it turns out that this data never existed. The data cited by Code Complete apparently does not show such a cost / development time correlation, and similar published tables only showed the correlation in some special cases and a flat curve in others (i.e. no increase in cost). Is there any independent data to corroborate or refute this? And if true (i.e. if there simply is no data to support this exponentially higher cost for late discovered bugs), how does this impact software development methodology?

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  • ASP.Net MVC and N-Tier

    - by Damien
    Greetings, Apologies in advance that I have not researched this toughly enough to answer the question myself, but I imagine it would take me some time and I would rather know now before I invest more time in learning it. I couldn't find anything in my initial research.. Why use ASP.Net MVC if your already using a multi-tier architecture (Data Layer, Logic Layer, Presentation Layer)? Other than the fact the controller has more power than the logic layer. Am I right in thinking I can use nHibernate and all my data access classes, entities, and mappings in the Model part of the MVC? When using controllers, is it best to separate a lot of the logic into a separate class so I can call it from multiple controllers? Or can I call them from the controllers themselves, considering the fact that I would not want all of them to be Actions, just normal methods. Thanks

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  • Is data integrity possible without normalization?

    - by shuniar
    I am working on an application that requires the storage of location information such as city, state, zip code, latitude, and longitude. I would like to ensure: Location data is accurate Detroit, CA Detroit IS NOT in California Detroit, MI Detroit IS in Michigan Cities and states are spelled correctly California not Calefornia Detroit not Detriot Cities and states are named consistently Valid: CA Detroit Invalid: Cali california DET d-town The D Also, since city/zip data is not guaranteed to be static, updating this data in a normalized fashion could be difficult, whereas it could be implemented as a de facto location if it is denormalized. A couple thoughts that come to mind: A collection of reference tables that store a list of all states and the most common cities and zip codes that can grow over time. It would search the database for an exact or similar match and recommend corrections. Use some sort of service to validate the location data before it is stored in the database. Is it possible to fulfill these requirements without normalization, and if so, should I denormalize this data?

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  • How to enable SSIS as data source type on SQL Server Reporing Services SSRS 2008 R2

    when you create a data source in SSRS 2008 R2 (Nov CTP), you won't be able to get SSIS listed as a data source type. Therefore applications that are already using it as a data source or applications that require it as a data source get stuck. Let's learn how to enable and get SSIS listed back as a data source in SSRS 2008 R2. SQL Server monitoring made easy "Keeping an eye on our many SQL Server instances is much easier with SQL Response." Mike Lile.Download a free trial of SQL Response now.

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  • Transparent Data Encryption

    Transparent Data Encryption is designed to protect data by encrypting the physical files of the database, rather than the data itself. Its main purpose is to prevent unauthorized access to the data by restoring the files to another server. With Transparent Data Encryption in place, this requires the original encryption certificate and master key. It was introduced in the Enterprise edition of SQL Server 2008. John Magnabosco explains fully, and guides you through the process of setting it up....Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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  • Google I/O 2010 - Data migration in App Engine

    Google I/O 2010 - Data migration in App Engine Google I/O 2010 - Data migration in App Engine App Engine 201 Matthew Blain Learn about the App Engine bulk loader and see an example of migrating data from an external data source into the app engine datastore--and back out. Do you have data stored in a traditional, relational DB which you'd like to upload to App Engine? This session will teach you how. For all I/O 2010 sessions, please go to code.google.com From: GoogleDevelopers Views: 6 0 ratings Time: 44:26 More in Science & Technology

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  • Forbes Article on Big Data and Java Embedded Technology

    - by hinkmond
    Whoa, cool! Forbes magazine has an online article about what I've been blogging about all this time: Big Data and Java Embedded Technology, tying it all together with a big bow, connecting small devices to the data center. See: Billions of Java Embedded Devices Here's a quote: By the end of the decade we could see tens of billions of new Internet-connected devices... with billions of Internet- connected devices generating Big Data, are the next big thing. ... That’s why Oracle has put together an ecosystem of solutions for this new, Big Data-oriented device-to-data center world: secure, powerful, and adaptable embedded Java for intelligent devices, integrated middleware... This is the next big thing. Java SE Embedded Technology is something to watch for in the new year. Start developing for it now to get a head-start... Hinkmond

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  • To join or not to join - database structure

    - by Industrial
    Hi! We're drawing up the database structure with the help of mySQL Workbench for a new app and the number of joins required to make a listing of the data is increasing drastically as the many-to-many relationships increases. The questions: Is it really that bad to merge tables where needed and thereby reducing joins? Is there a better way then pivot tables to take care of many-to-many relationships? We discussed about instead storing all data in serialized text columns and having the application make the sorting instead of the database, but this seems like a very bad idea, even though that the database will be heavily cached. What do you think? Thanks!

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  • R: How can I use apply on rows of a data.frame and get out $column_name?

    - by John
    I'm trying to access $a using the following example: df<-data.frame(a=c("x","x","y","y"),b=c(1,2,3,4)) > df a b 1 x 1 2 x 2 3 y 3 4 y 4 test_fun <- function (data.frame_in) { print (data.frame_in[1]) } I can now access $a if I use an index for the first column: apply(df, 1, test_fun) a "x" a "x" a "y" a "y" [1] "x" "x" "y" "y" But I cannot access column $a with the $ notation: error: "$ operator is invalid for atomic vectors" test_fun_2 <- function (data.frame_in) { print (data.frame_in$a) } >apply(df, 1, test_fun_2) Error in data.frame_in$a : $ operator is invalid for atomic vectors Is this not possible?

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  • Importing Data from Google Analytics

    - by Adam Tannon
    I am planning on building a web app with many different public-facing HTTP servers; each of which will have Google Analytics (GA) installed on them. I'd like to create a "dashboard" app that consolidates the GA data into one screen. I've been perusing the documentation for this so-called GA API, but I can't tell what the end result of the GA API is: Does the GA API allow me to do exactly what I am looking for it to do? Or... Does the GA API do something entirely different (like allow me to share my data with Google+ or something else weird) Since an API can be used to CRUD any kind of data, I guess I'm asking which way the GA API goes: is it for querying (reading) data from 1+ server instances, or is it for modifying data on those servers or somewhere else? Thanks in advance!

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  • Using one data source across multiple views in Kendo UI SPA

    - by user3731783
    I am trying to build a Kendo UI SPA. I have two views. View 1 (appListView) shows Application Details in a grid and view 2 (activityView) will have a dropdown for application names and a grid that shows the activity for selected application As I am loading all the application details on the loading of view 1, I would like to re-use those details to populate the dropdown on view 2. Please see my code below. Everything works fine but when I go to View 2 it makes a call to the service again to get application details. I would like to use the existing data if it is already loaded and if the uses comes to view 2 directly then it should get application data also. I am not sure what I am missing in the code. View Markup: <script id="appListView" type="text/x-kendo-template"> <h3 data-bind="html: displayName"></h3> <div data-role="grid" data-editable="{'mode':'popup'}" data-bind="source: items" data-columns="[ {'field': 'Name'}, {'field': 'ContactEmail','title':'Contact Email'} ]"> </div> </script> <script id="" type="text\x-kendo-template"> <div> Activity for Application&nbsp;&nbsp; <input name="AppName" data-role="dropdownlist" data-source="appsModel.items" data-text-field="Name" data-value-field="Id" data-option-label="Choose an application name" style="width:250px;" /> </div> <div id="Activities" data-role="grid" data-bind="source: items" data-auto-bind="false" data-columns="[ {'field': 'Domain','title':'Domain'}, {'field': 'ActivityType','title':'Activity Type'} ]"> </div> </script> js with DataSource and View Model: //data sources var applications = new kendo.data.DataSource({ schema: { model: { id: "Id" } }, serverFiltering : true, transport: { read: { url: '/api/App', dataType: 'json', type:'GET' } } }); var activities = new kendo.data.DataSource({ schema: { model: { id: "Id" } }, transport: { read: { url: '/api/Activity', dataType: 'json', type: 'GET' }, parameterMap: function (data, type) { if (type == "read") { return 'appId=' + $("#AppName").val() ; } } } }); //Models var appsModel = kendo.observable({ items: applications, displayName: 'My Applications' }); var activityModel = kendo.observable({ items: activities, onAppChange: function(t){ $("#Activities").data("kendoGrid").dataSource.read(); }, dispayName: 'Application Activities' }); //views var layout = new kendo.Layout("layout-template"); var appListView = new kendo.View("appListView", { model: appsModel }); var activityView = new kendo.View("activityView", { model: activityModel }); Thank you for taking time to read this long question.

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  • Displaying a Sorted, Paged, and Filtered Grid of Data in ASP.NET MVC

    Over the past couple of months I've authored five articles on displaying a grid of data in an ASP.NET MVC application. The first article in the series focused on simply displaying data. This was followed by articles showing how to sort, page, and filter a grid of data. We then examined how to both sort and page a single grid of data. This article looks at how to add the final piece to the puzzle: we'll see how to combine sorting, paging and filtering when displaying data in a single grid. Like with its predecessors, this article offers step-by-step instructions and includes a complete, working demo available for download at the end of the article. Read on to learn more! Read More >

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