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  • How does jQuery store data with .data()?

    - by TK
    I am a little confused how jQuery stores data with .data() functions. Is this something called expando? Or is this using HTML5 Web Storage although I think this is very unlikely? The documentation says: The .data() method allows us to attach data of any type to DOM elements in a way that is safe from circular references and therefore from memory leaks. As I read about expando, it seems to have a rick of memory leak. Unfortunately my skills are not enough to read and understand jQuery code itself, but I want to know how jQuery stores such data by using data(). http://api.jquery.com/data/

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  • Building vs. Buying a Master Data Management Solution

    - by david.butler(at)oracle.com
    Many organizations prefer to build their own MDM solutions. The argument is that they know their data quality issues and their data better than anyone. Plus a focused solution will cost less in the long run then a vendor supplied general purpose product. This is not unreasonable if you think of MDM as a point solution for a particular data quality problem. But this approach carries significant risk. We now know that organizations achieve significant competitive advantages when they deploy MDM as a strategic enterprise wide solution: with the most common best practice being to deploy a tactical MDM solution and grow it into a full information architecture. A build your own approach most certainly will not scale to a larger architecture unless it is done correctly with the larger solution in mind. It is possible to build a home grown point MDM solution in such a way that it will dovetail into broader MDM architectures. A very good place to start is to use the same basic technologies that Oracle uses to build its own MDM solutions. Start with the Oracle 11g database to create a flexible, extensible and open data model to hold the master data and all needed attributes. The Oracle database is the most flexible, highly available and scalable database system on the market. With its Real Application Clusters (RAC) it can even support the mixed OLTP and BI workloads that represent typical MDM data access profiles. Use Oracle Data Integration (ODI) for batch data movement between applications, MDM data stores, and the BI layer. Use Oracle Golden Gate for more real-time data movement. Use Oracle's SOA Suite for application integration with its: BPEL Process Manager to orchestrate MDM connections to business processes; Identity Management for managing users; WS Manager for managing web services; Business Intelligence Enterprise Edition for analytics; and JDeveloper for creating or extending the MDM management application. Oracle utilizes these technologies to build its MDM Hubs.  Customers who build their own MDM solution using these components will easily migrate to Oracle provided MDM solutions when the home grown solution runs out of gas. But, even with a full stack of open flexible MDM technologies, creating a robust MDM application can be a daunting task. For example, a basic MDM solution will need: a set of data access methods that support master data as a service as well as direct real time access as well as batch loads and extracts; a data migration service for initial loads and periodic updates; a metadata management capability for items such as business entity matrixed relationships and hierarchies; a source system management capability to fully cross-reference business objects and to satisfy seemingly conflicting data ownership requirements; a data quality function that can find and eliminate duplicate data while insuring correct data attribute survivorship; a set of data quality functions that can manage structured and unstructured data; a data quality interface to assist with preventing new errors from entering the system even when data entry is outside the MDM application itself; a continuing data cleansing function to keep the data up to date; an internal triggering mechanism to create and deploy change information to all connected systems; a comprehensive role based data security system to control and monitor data access, update rights, and maintain change history; a flexible business rules engine for managing master data processes such as privacy and data movement; a user interface to support casual users and data stewards; a business intelligence structure to support profiling, compliance, and business performance indicators; and an analytical foundation for directly analyzing master data. Oracle's pre-built MDM Hub solutions are full-featured 3-tier Internet applications designed to participate in the full Oracle technology stack or to run independently in other open IT SOA environments. Building MDM solutions from scratch can take years. Oracle's pre-built MDM solutions can bring quality data to the enterprise in a matter of months. But if you must build, at lease build with the world's best technology stack in a way that simplifies the eventual upgrade to Oracle MDM and to the full enterprise wide information architecture that it enables.

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  • ConfigServer Security and Firewall -- after setup, how much daily management required?

    - by Hope4You
    I'm looking at using ConfigServer Security and Firewall (CSF; iptables-based). After I configure it properly, how much daily ongoing management is required of me to keep my server secure? Am I going to be flooded with "alert" emails that I need to check? Or does the firewall automatically take care of most security threats for me? Note: I understand that there's more to server security than just a software firewall, but this question is specifically for CSF security management.

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  • Accessing and Updating Data in ASP.NET: Filtering Data Using a CheckBoxList

    Filtering Database Data with Parameters, an earlier installment in this article series, showed how to filter the data returned by ASP.NET's data source controls. In a nutshell, the data source controls can include parameterized queries whose parameter values are defined via parameter controls. For example, the SqlDataSource can include a parameterized SelectCommand, such as: SELECT * FROM Books WHERE Price > @Price. Here, @Price is a parameter; the value for a parameter can be defined declaratively using a parameter control. ASP.NET offers a variety of parameter controls, including ones that use hard-coded values, ones that retrieve values from the querystring, and ones that retrieve values from session, and others. Perhaps the most useful parameter control is the ControlParameter, which retrieves its value from a Web control on the page. Using the ControlParameter we can filter the data returned by the data source control based on the end user's input. While the ControlParameter works well with most types of Web controls, it does not work as expected with the CheckBoxList control. The ControlParameter is designed to retrieve a single property value from the specified Web control, but the CheckBoxList control does not have a property that returns all of the values of its selected items in a form that the CheckBoxList control can use. Moreover, if you are using the selected CheckBoxList items to query a database you'll quickly find that SQL does not offer out of the box functionality for filtering results based on a user-supplied list of filter criteria. The good news is that with a little bit of effort it is possible to filter data based on the end user's selections in a CheckBoxList control. This article starts with a look at how to get SQL to filter data based on a user-supplied, comma-delimited list of values. Next, it shows how to programmatically construct a comma-delimited list that represents the selected CheckBoxList values and pass that list into the SQL query. Finally, we'll explore creating a custom parameter control to handle this logic declaratively. Read on to learn more! Read More >

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  • SQLAuthority News – Fast Track Data Warehouse 3.0 Reference Guide

    - by pinaldave
    http://msdn.microsoft.com/en-us/library/gg605238.aspx I am very excited that Fast Track Data Warehouse 3.0 reference guide has been announced. As a consultant I have always enjoyed working with Fast Track Data Warehouse project as it truly expresses the potential of the SQL Server Engine. Here is few details of the enhancement of the Fast Track Data Warehouse 3.0 reference architecture. The SQL Server Fast Track Data Warehouse initiative provides a basic methodology and concrete examples for the deployment of balanced hardware and database configuration for a data warehousing workload. Balance is measured across the key components of a SQL Server installation; storage, server, application settings, and configuration settings for each component are evaluated. Description Note FTDW 3.0 Architecture Basic component architecture for FT 3.0 based systems. New Memory Guidelines Minimum and maximum tested memory configurations by server socket count. Additional Startup Options Notes for T-834 and setting for Lock Pages in Memory. Storage Configuration RAID1+0 now standard (RAID1 was used in FT 2.0). Evaluating Fragmentation Query provided for evaluating logical fragmentation. Loading Data Additional options for CI table loads. MCR Additional detail and explanation of FTDW MCR Rating. Read white paper on fast track data warehousing. Reference: Pinal Dave (http://blog.SQLAuthority.com)   Filed under: Business Intelligence, Data Warehousing, PostADay, SQL, SQL Authority, SQL Documentation, SQL Download, SQL Query, SQL Server, SQL Tips and Tricks, SQL White Papers, SQLAuthority News, T SQL, Technology

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  • Accessing and Updating Data in ASP.NET: Filtering Data Using a CheckBoxList

    Filtering Database Data with Parameters, an earlier installment in this article series, showed how to filter the data returned by ASP.NET's data source controls. In a nutshell, the data source controls can include parameterized queries whose parameter values are defined via parameter controls. For example, the SqlDataSource can include a parameterized SelectCommand, such as: SELECT * FROM Books WHERE Price > @Price. Here, @Price is a parameter; the value for a parameter can be defined declaratively using a parameter control. ASP.NET offers a variety of parameter controls, including ones that use hard-coded values, ones that retrieve values from the querystring, and ones that retrieve values from session, and others. Perhaps the most useful parameter control is the ControlParameter, which retrieves its value from a Web control on the page. Using the ControlParameter we can filter the data returned by the data source control based on the end user's input. While the ControlParameter works well with most types of Web controls, it does not work as expected with the CheckBoxList control. The ControlParameter is designed to retrieve a single property value from the specified Web control, but the CheckBoxList control does not have a property that returns all of the values of its selected items in a form that the CheckBoxList control can use. Moreover, if you are using the selected CheckBoxList items to query a database you'll quickly find that SQL does not offer out of the box functionality for filtering results based on a user-supplied list of filter criteria. The good news is that with a little bit of effort it is possible to filter data based on the end user's selections in a CheckBoxList control. This article starts with a look at how to get SQL to filter data based on a user-supplied, comma-delimited list of values. Next, it shows how to programmatically construct a comma-delimited list that represents the selected CheckBoxList values and pass that list into the SQL query. Finally, we'll explore creating a custom parameter control to handle this logic declaratively. Read on to learn more! Read More >

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  • extjs data store load data on fly

    - by CKeven
    I'm trying to create a data store that will load the data schema and records on fly. Here is the current code i have and I'm not sure how to setup the array reader properly since i don't have the schema before query returns. ds = new Ext.data.Store({ url: 'http://10.10.97.83/cgi-bin/cgiip.exe/WService=wsdev/majax/jsbrdgx.p', baseParams: { cr: Ext.util.JSON.encode(omgtobxParms) }, reader: new Ext.data.ArrayReader({ //root:data.value.records }, col_names) }); {"name": "tmp_buy_book", "schema": [ { "name": "a", "type": "C"}, { "name": "b", "type": "C"} "records": [["1", ""], ["1",""]]}

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  • Big Data – Buzz Words: What is MapReduce – Day 7 of 21

    - by Pinal Dave
    In yesterday’s blog post we learned what is Hadoop. In this article we will take a quick look at one of the four most important buzz words which goes around Big Data – MapReduce. What is MapReduce? MapReduce was designed by Google as a programming model for processing large data sets with a parallel, distributed algorithm on a cluster. Though, MapReduce was originally Google proprietary technology, it has been quite a generalized term in the recent time. MapReduce comprises a Map() and Reduce() procedures. Procedure Map() performance filtering and sorting operation on data where as procedure Reduce() performs a summary operation of the data. This model is based on modified concepts of the map and reduce functions commonly available in functional programing. The library where procedure Map() and Reduce() belongs is written in many different languages. The most popular free implementation of MapReduce is Apache Hadoop which we will explore tomorrow. Advantages of MapReduce Procedures The MapReduce Framework usually contains distributed servers and it runs various tasks in parallel to each other. There are various components which manages the communications between various nodes of the data and provides the high availability and fault tolerance. Programs written in MapReduce functional styles are automatically parallelized and executed on commodity machines. The MapReduce Framework takes care of the details of partitioning the data and executing the processes on distributed server on run time. During this process if there is any disaster the framework provides high availability and other available modes take care of the responsibility of the failed node. As you can clearly see more this entire MapReduce Frameworks provides much more than just Map() and Reduce() procedures; it provides scalability and fault tolerance as well. A typical implementation of the MapReduce Framework processes many petabytes of data and thousands of the processing machines. How do MapReduce Framework Works? A typical MapReduce Framework contains petabytes of the data and thousands of the nodes. Here is the basic explanation of the MapReduce Procedures which uses this massive commodity of the servers. Map() Procedure There is always a master node in this infrastructure which takes an input. Right after taking input master node divides it into smaller sub-inputs or sub-problems. These sub-problems are distributed to worker nodes. A worker node later processes them and does necessary analysis. Once the worker node completes the process with this sub-problem it returns it back to master node. Reduce() Procedure All the worker nodes return the answer to the sub-problem assigned to them to master node. The master node collects the answer and once again aggregate that in the form of the answer to the original big problem which was assigned master node. The MapReduce Framework does the above Map () and Reduce () procedure in the parallel and independent to each other. All the Map() procedures can run parallel to each other and once each worker node had completed their task they can send it back to master code to compile it with a single answer. This particular procedure can be very effective when it is implemented on a very large amount of data (Big Data). The MapReduce Framework has five different steps: Preparing Map() Input Executing User Provided Map() Code Shuffle Map Output to Reduce Processor Executing User Provided Reduce Code Producing the Final Output Here is the Dataflow of MapReduce Framework: Input Reader Map Function Partition Function Compare Function Reduce Function Output Writer In a future blog post of this 31 day series we will explore various components of MapReduce in Detail. MapReduce in a Single Statement MapReduce is equivalent to SELECT and GROUP BY of a relational database for a very large database. Tomorrow In tomorrow’s blog post we will discuss Buzz Word – HDFS. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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  • SQL Developer Data Modeler v3.3 Early Adopter: Search

    - by thatjeffsmith
    photo: Stuck in Customs via photopin cc The next version of Oracle SQL Developer Data Modeler is now available as an Early Adopter (read, beta) release. There are many new major feature enhancements to talk about, but today’s focus will be on the brand new Search mechanism. Data, data, data – SO MUCH data Google has made countless billions of dollars around a very efficient and intelligent search business. People have become accustomed to having their data accessible AND searchable. Data models can have thousands of entities or tables, each having dozens of attributes or columns. Imagine how hard it could be to find what you’re looking for here. This is the challenge we have tackled head-on in v3.3. Same location as the Search toolbar in Oracle SQL Developer (and most web browsers) Here’s how it works: Search as you type – wicked fast as the entire model is loaded into memory Supports regular expressions (regex) Results loaded to a new panel below Search across designs, models Search EVERYTHING, or filter by type Save your frequent searches Save your search results as a report Open common properties of object in search results and edit basic properties on-the-fly Want to just watch the video? We have a new Oracle Learning Library resource available now which introduces the new and improved Search mechanism in SQL Developer Data Modeler. Go watch the video and then come back. Some Screenshots This will be a pretty easy feature to pick up. Search is intuitive – we’ve already learned how to do search. Now we just have a better interface for it in SQL Developer Data Modeler. But just in case you need a couple of pointers… The SYS data dictionary in model form with Search Results If I type ‘translation’ in the search dialog, then the results will come up as hits are ‘resolved.’ By default, everything is searched, although I can filter the results after-the-fact. You can see where the search finds a match in the ‘Content’ column Save the Results as a Report If you limit the search results to a category and a model, then you can save the results as a report. All of the usual suspects You can optionally include the search string, which displays in the top of of the report as ‘PATTERN.’ You can save you common reporting setups as a template and reuse those as well. Here’s a sample HTML report: Yes, I like to search my search results report! Two More Ways to Search You can search ‘in context’ by opening the ‘Find’ dialog from an active design. You can do this using the ‘Search’ toolbar button or from a model context menu. Searching a specific model Instead of bringing up the old modal Find dialog, you now get to use the new and improved Search panel. Notice there’s no ‘Model’ drop-down to select and that the active Search form is now in the Search panel versus the search toolbar up top. What else is new in SQL Developer Data Modeler version 3.3? All kinds of goodies. You can send your model to Excel for quick edits/reviews and suck the changes back into your model, you can share objects between models, and much much more. You’ll find new videos and blog posts on the subject in the new few days and weeks. Enjoy! If you have any feedback or want to report bugs, please visit our forums.

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  • Big Data – Operational Databases Supporting Big Data – Key-Value Pair Databases and Document Databases – Day 13 of 21

    - by Pinal Dave
    In yesterday’s blog post we learned the importance of the Relational Database and NoSQL database in the Big Data Story. In this article we will understand the role of Key-Value Pair Databases and Document Databases Supporting Big Data Story. Now we will see a few of the examples of the operational databases. Relational Databases (Yesterday’s post) NoSQL Databases (Yesterday’s post) Key-Value Pair Databases (This post) Document Databases (This post) Columnar Databases (Tomorrow’s post) Graph Databases (Tomorrow’s post) Spatial Databases (Tomorrow’s post) Key Value Pair Databases Key Value Pair Databases are also known as KVP databases. A key is a field name and attribute, an identifier. The content of that field is its value, the data that is being identified and stored. They have a very simple implementation of NoSQL database concepts. They do not have schema hence they are very flexible as well as scalable. The disadvantages of Key Value Pair (KVP) database are that they do not follow ACID (Atomicity, Consistency, Isolation, Durability) properties. Additionally, it will require data architects to plan for data placement, replication as well as high availability. In KVP databases the data is stored as strings. Here is a simple example of how Key Value Database will look like: Key Value Name Pinal Dave Color Blue Twitter @pinaldave Name Nupur Dave Movie The Hero As the number of users grow in Key Value Pair databases it starts getting difficult to manage the entire database. As there is no specific schema or rules associated with the database, there are chances that database grows exponentially as well. It is very crucial to select the right Key Value Pair Database which offers an additional set of tools to manage the data and provides finer control over various business aspects of the same. Riak Rick is one of the most popular Key Value Database. It is known for its scalability and performance in high volume and velocity database. Additionally, it implements a mechanism for collection key and values which further helps to build manageable system. We will further discuss Riak in future blog posts. Key Value Databases are a good choice for social media, communities, caching layers for connecting other databases. In simpler words, whenever we required flexibility of the data storage keeping scalability in mind – KVP databases are good options to consider. Document Database There are two different kinds of document databases. 1) Full document Content (web pages, word docs etc) and 2) Storing Document Components for storage. The second types of the document database we are talking about over here. They use Javascript Object Notation (JSON) and Binary JSON for the structure of the documents. JSON is very easy to understand language and it is very easy to write for applications. There are two major structures of JSON used for Document Database – 1) Name Value Pairs and 2) Ordered List. MongoDB and CouchDB are two of the most popular Open Source NonRelational Document Database. MongoDB MongoDB databases are called collections. Each collection is build of documents and each document is composed of fields. MongoDB collections can be indexed for optimal performance. MongoDB ecosystem is highly available, supports query services as well as MapReduce. It is often used in high volume content management system. CouchDB CouchDB databases are composed of documents which consists fields and attachments (known as description). It supports ACID properties. The main attraction points of CouchDB are that it will continue to operate even though network connectivity is sketchy. Due to this nature CouchDB prefers local data storage. Document Database is a good choice of the database when users have to generate dynamic reports from elements which are changing very frequently. A good example of document usages is in real time analytics in social networking or content management system. Tomorrow In tomorrow’s blog post we will discuss about various other Operational Databases supporting Big Data. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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  • Notes on Oracle BPM PS6 Adaptive Case Management

    - by gcolman
    v\:* {behavior:url(#default#VML);} o\:* {behavior:url(#default#VML);} w\:* {behavior:url(#default#VML);} .shape {behavior:url(#default#VML);} I have recently been looking at the  latest release of the BPM Case Management feature in the Oracle BPM PS6 release. I had put together some notes to help me gain a better understanding of the context of the PS6 BPM Case Management. Hopefully, this along with the other resources will enable you to gain a clear picture of the flexibility of this feature. Oracle BPM PS6 release includes Case Management capability. This initial release aims to provide: Case Management Framework Integration of Case Management with BPM & SOA suite It is best to regard the current PS6 case management feature as a case management framework. The framework provides the building blocks for creating a case management system that is fully integrated into Oracle BPM suite. As of the current PS6 release, no UI tooling exists to help manage cases or the case lifecycle. Mark Foster has written a good blog which outlines Case Management within PS6 in the following link. I wanted to provide more context on Case Management from my perspective in this blog. PS6 Case Management - High level View BPM PS6 includes “Case” as a first class component in a SOA Suite composite. The Case components (added to the SOA Composite) are created when a BPM process is assigned to a case in JDveloper. The SOA Case component is defined and configured within JDevloper, which allows us to specify the case data structures and metadata such as stakeholders, outcomes, milestones, document stores etc. "Activities" are associated with a case, and become available to be executed via the case apis. Activities are BPM processes, Human Activities or Java call outs. The PS6 release includes some additional database tables to store the case metadata and case instance data (data object, comments, etc…). These new tables are created within the SOA_INFRA schema and the documents associated with that case into a document repository that is configured with the case. One of the main features of Case Management is the control of the case logic through case events and case business rules. A PS6 Case has an associated business rule component, which can be configured to control the availability and execution of activities within the case. The business rules component is able to act upon events that the PS6 Case Management framework generates during the lifecycle of that case. Events are fired during the lifetime of the case (e.g. Case created, activity started, activity ended, note added, document uploaded.) Internal Case state The internal state of a case is represented by the diagram below. This shows the internal states and the transition paths for a Case from one state to the next Each transition in state will create an event that can be enacted upon via the Case rules engine. The internal case state lifecycle is defined as follows Defining a case A Case is created and defined as a component of a JDeveloper BPM project. When you create a Case as part of a BPM project, JDeveloper, creates the following components within the SCA composite: Case component Case component interfaces (WSDL etc) Case Rules component (Oracle Business Rules) Adds the Case Component and Case Rules Component to the BPM SOA composite Case Configuration The following section gives a high level overview of the items that can be configured for a BPM Case. Case Activities A Case is associated with a set of activities that are to be performed as part of that Case. Case activities can be: SOA Human Tasks BPM processes Custom Task (Java Class) Case activities are created from pre-existing BPM process or human tasks, which, once defined, can be configured additionally as Case activities in JDeveloper and made available within the lifecycle of a case. I've described the following configurable components of a case (very!) briefly as: Milestones Milestones are (optional) user defined logical milestones that can be achieved within a case. No activities are associates with a milestone, but milestone attainment can be programmatically set and events raised when milestones are reached Outcomes User defined status of a completed case. An event is fired when an outcome is attained. Case Data Defines the data that will be stored with a case XML schemas define the data that is stored with the case. Case Documents Defines the location of documents that are attached to a case (e.g. WebCenter Content) User Defined Events Optional user defined events that can be fired or captured to drive case processing rules Stakeholders Defines the actors who can participate in the case (roles, users, groups) Defines permissions for individual case permissions (read case, create document etc…) Business Rules Business rules are the main component controlling the flow of a Case Each case has an associated business ruleset Rules are fired on receiving Case events (or User defined events) Life cycle events Milestone events Activity events Data events Document events Comment events User event Managing the Case Managing the lifecycle of a case is achieved in two ways: Managing case logic with Business Rules Managing the case lifecycle via the Case APIs. A BPM Case can be viewed as a set of case data & documents along with the activities that can be performed within a case and also the case lifecycle state expressed as milestones and internal lifecycle state. The management of the case life is achieved though both the configuration of business rules and the “manual” interaction with a case instance through the Case APIs. Business Rules and Case Events A key component within the Case management framework is the event model. The BPM Case Management solution internally utilizes Oracle EDN (Event Delivery Network) to publish and subscribe to events generated by the Case framework. Events are generated by the Case framework on each of the processes and stages that a case instance will travel on its lifetime. The following case events are part of the BPM Case: Life cycle events Milestone events Activity events Data events Document events Comment events User event The Case business rules are configured to listen for these events, and business logic can be coded into the Case rules component to enact upon an event being received. Case API & Interaction Along with the business rules component, Cases can be managed via the Case API interfaces. These interfaces allow for the building of custom applications to integrate into case management framework. The API’s allow for updating case comments & documents, executing case activities, updating milestones etc. As there is no in built case management UI functions within the PS6 release, Cases need to be managed via a custom built UI, interacting with selected case instances, launching case activities, closing cases etc. (There is expected to be a UI component within subsequent releases) Logical Case Flow The diagram below is intended to depict a logical view of the case steps for a typical case. A UI or other service calls the Case interface to create a Case instance The case instance is created & database data inserted A lifecycle event is raised indicating a case activity (created) event The case business rules capture the event and decide on an action to take Additionally other parties can subscribe to Case events via EDN The business rules may handle the event, e.g. configured to execute a case activity on case creation event The BPM/Human Workflow/Custom activity is executed A case activity event is raised on the execute activity A case work UI or business service can inspect the case instance and call other actions to progress that case, such as: Execute activity Add Note Add document Add case data Update Milestone Raise user defined event Suspend case Resume case Close Case Summary Having had a little time to play around with the APIs and the case configuration, I really like the flexibility and power of combining Oracle Business Rules and the BPM Case Management event model. Creating something this flexible and powerful without BPM Case Management would take a lot of time and effort. This is hopefully going to save my customers a lot of time and effort! I may make amendments to this post as my understanding of Case Management increases! Take a look at the following links for official documentation etc. http://docs.oracle.com/cd/E28280_01/doc.1111/e15176/case_mgmt_bpmpd.htm https://blogs.oracle.com/bpm/entry/just_in_case Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Calibri","sans-serif";}

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  • The data reader returned by the store data provider does not have enough columns

    - by molgan
    Hello I get the following error when I try to execute a stored procedure: "The data reader returned by the store data provider does not have enough columns" When I in the sql-manager execute it like this: DECLARE @return_value int, @EndDate datetime EXEC @return_value = [dbo].[GetSomeDate] @SomeID = 91, @EndDate = @EndDate OUTPUT SELECT @EndDate as N'@EndDate' SELECT 'Return Value' = @return_value GO It returns the value properly.... @SomeDate = '2010-03-24 09:00' And in my app I have: if (_entities.Connection.State == System.Data.ConnectionState.Closed) _entities.Connection.Open(); using (EntityCommand c = new EntityCommand("MyAppEntities.GetSomeDate", (EntityConnection)this._entities.Connection)) { c.CommandType = System.Data.CommandType.StoredProcedure; EntityParameter paramSomeID = new EntityParameter("SomeID", System.Data.DbType.Int32); paramSomeID.Direction = System.Data.ParameterDirection.Input; paramSomeID.Value = someID; c.Parameters.Add(paramSomeID); EntityParameter paramSomeDate = new EntityParameter("SomeDate", System.Data.DbType.DateTime); SomeDate.Direction = System.Data.ParameterDirection.Output; c.Parameters.Add(paramSomeDate); int retval = c.ExecuteNonQuery(); return (DateTime?)c.Parameters["SomeDate"].Value; Why does it complain about columns? I googled on error and someone said something about removing RETURN in sp, but I dont have any RETURN there. last like is like SELECT @SomeDate = D.SomeDate FROM .... /M

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  • ASP.NET server data persistence

    - by Wayne Werner
    Hi, I'm not really sure exactly how the question should be phrased, so please be patient if I ask the wrong thing. I'm writing an ASP.NET application using VB as the code behind language. I have a data access class that connects to the DB to run the query (parameterized, of course), and another class to perform the validation tasks - I access this class from my aspx page. What I would like is to be able to store the data server side and wait for the user to choose from a few options based on the validity of the data. But unless my understanding is completely off, having persistent data objects on the server will give problems when multiple users connect? My ultimate goal is that once the data has been validated the end user can't modify it. Currently I'm validating the data, but I still have to retrieve it from the web form AFTER the user says OK, which obviously leaves open the possibility of injecting bad data either accidentally (unlikely) or on purpose (also unlikely for the use, but I'd prefer not to take the chance). So am I completely off in my understanding? If so, can someone point me to a resource that provides some instructions on keeping persistent data on the server, or provide instruction? Thanks!

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  • SQLAuthority News – Best Practices for Data Warehousing with SQL Server 2008 R2

    - by pinaldave
    An integral part of any BI system is the data warehouse—a central repository of data that is regularly refreshed from the source systems. The new data is transferred at regular intervals  by extract, transform, and load (ETL) processes. This whitepaper talks about what are best practices for Data Warehousing. This whitepaper discusses ETL, Analysis, Reporting as well relational database. The main focus of this whitepaper is on mainly ‘architecture’ and ‘performance’. Download Best Practices for Data Warehousing with SQL Server 2008 R2 Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Best Practices, Data Warehousing, PostADay, SQL, SQL Authority, SQL Documentation, SQL Download, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • Nagy dobás készül az Oracle adatányászati felületen, Oracle Data Mining

    - by Fekete Zoltán
    Ahogyan már a tavaly oszi Oracle OpenWorld hírekben és eloadásokban is láthattuk a beharangozót, az Oracle nagy dobásra készül az adatbányászati fronton (Oracle Data Mining), mégpedig a remekül használható adatbányászati motor grafikus felületének a kiterjesztésével. Ha jól megfigyeljük ezt az utóbbi linket, az eddigi grafikus felület már Oracle Data Miner Classic néven fut. Hogyan is lehet használni az Oracle Data Mining-ot? - Oracle Data Miner (ingyenesen letöltheto GUI az OTN-rol) - Java-ból és PL/SQL-bol, Oracle Data Mining JDeveloper and SQL Developer Extensions - Excel felületrol, Oracle Spreadsheet Add-In for Predictive Analytics - ODM Connector for mySAP BW Oracle Data Mining technikai információ.

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  • Google I/O 2012 - Big Data: Turning Your Data Problem Into a Competitive Advantage

    Google I/O 2012 - Big Data: Turning Your Data Problem Into a Competitive Advantage Ju-kay Kwek, Navneet Joneja Can businesses get practical value from web-scale data without building proprietary web-scale infrastructure? This session will explore how new Google data services can be used to solve key data storage, transformation and analysis challenges. We will look at concrete case studies demonstrating how real life businesses have successfully used these solutions to turn data into a competitive business asset. For all I/O 2012 sessions, go to developers.google.com From: GoogleDevelopers Views: 1 0 ratings Time: 52:39 More in Science & Technology

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  • Data-Driven SOA with Oracle Data Integrator

    - by Irem Radzik
    v\:* {behavior:url(#default#VML);} o\:* {behavior:url(#default#VML);} w\:* {behavior:url(#default#VML);} .shape {behavior:url(#default#VML);} Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Cambria","serif"; mso-fareast-font-family:"MS Mincho";} By Mike Eisterer, Data integration is more than simply moving data in bulk or in real-time, it is also about unifying information for improved business agility and integrating it in today’s service-oriented architectures. SOA enables organizations to easily define services which may then be discovered and leveraged by varying consumers. These consumers may be applications, customer facing portals, or complex business rules which are assembling services to automate process. Data as a foundational service provider is a key component of today’s successful SOA implementations. Oracle offers the broadest and most integrated portfolio of products to help you define, organize, orchestrate and consume data services. If you are attending Oracle OpenWorld next week, you will have ample opportunity to see the latest Oracle Data Integrator live in action and work with it yourself in two offered Hands-on Labs. Visit the hands-on lab to gain experience firsthand: Oracle Data Integrator and Oracle SOA Suite: Hands-on- Lab (HOL10480) Wed Oct 3rd 11:45AM Marriott Marquis- Salon 1/2 To learn more about Oracle Data Integrator, please visit our Introduction Hands-on LAB: Introduction to Oracle Data Integrator (HOL10481) Mon Oct 1st 3:15PM, Marriott Marquis- Salon 1/2 If you are not able to attend OpenWorld, please check out our latest resources for Data Integration.

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  • Subsetting a data frame in a function using another data frame as parameter

    - by lecodesportif
    I would like to submit a data frame to a function and use it to subset another data frame. This is the basic data frame: foo <- data.frame(var1= c('1', '1', '1', '2', '2', '3'), var2=c('A', 'A', 'B', 'B', 'C', 'C')) I use the following function to find out the frequencies of var2 for specified values of var1. foobar <- function(x, y, z){ a <- subset(x, (x$var1 == y)) b <- subset(a, (a$var2 == z)) n=nrow(b) return(n) } Examples: foobar(foo, 1, "A") # returns 2 foobar(foo, 1, "B") # returns 1 foobar(foo, 3, "C") # returns 1 This works. But now I want to submit a data frame of values to foobar. Instead of the above examples, I would like to submit df to foobar and get the same results as above (2, 1, 1) df <- data.frame(var1=c('1','1','3'), var2=c("A", "B", "C")) When I change foobar to accept two arguments like foobar(foo, df) and use y[, c(var1)] and y[, c(var2)] instead of the two parameters x and y it still doesn't work. Which way is there to do this?

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  • Managing Data Dependecies of Java Classes that Load Data from the Classpath at Runtime

    - by Martin Potthast
    What is the simplest way to manage dependencies of Java classes to data files present in the classpath? More specifically: How should data dependencies be annotated? Perhaps using Java annotations (e.g., @Data)? Or rather some build entries in a build script or a properties file? Is there build tool that integrates and evaluates such information (Ant, Scons, ...)? Do you have examples? Consider the following scenario: A few lines of Ant create a Jar from my sources that includes everything found on the classpath. Then jarjar is used to remove all .class files that are not necessary to execute, say, class Foo. The problem is that all the data files that class Bar depends upon are still there in the Jar. The ideal deployment script, however, would recognize that the data files on which only class Bar depends can be removed while data files on which class Foo depends must be retained. Any hints?

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  • Developing custom MBeans to manage J2EE Applications (Part III)

    - by philippe Le Mouel
    This is the third and final part in a series of blogs, that demonstrate how to add management capability to your own application using JMX MBeans. In Part I we saw: How to implement a custom MBean to manage configuration associated with an application. How to package the resulting code and configuration as part of the application's ear file. How to register MBeans upon application startup, and unregistered them upon application stop (or undeployment). How to use generic JMX clients such as JConsole to browse and edit our application's MBean. In Part II we saw: How to add localized descriptions to our MBean, MBean attributes, MBean operations and MBean operation parameters. How to specify meaningful name to our MBean operation parameters. We also touched on future enhancements that will simplify how we can implement localized MBeans. In this third and last part, we will re-write our MBean to simplify how we added localized descriptions. To do so we will take advantage of the functionality we already described in part II and that is now part of WebLogic 10.3.3.0. We will show how to take advantage of WebLogic's localization support to localize our MBeans based on the client's Locale independently of the server's Locale. Each client will see MBean descriptions localized based on his/her own Locale. We will show how to achieve this using JConsole, and also using a sample programmatic JMX Java client. The complete code sample and associated build files for part III are available as a zip file. The code has been tested against WebLogic Server 10.3.3.0 and JDK6. To build and deploy our sample application, please follow the instruction provided in Part I, as they also apply to part III's code and associated zip file. Providing custom descriptions take II In part II we localized our MBean descriptions by extending the StandardMBean class and overriding its many getDescription methods. WebLogic 10.3.3.0 similarly to JDK 7 can automatically localize MBean descriptions as long as those are specified according to the following conventions: Descriptions resource bundle keys are named according to: MBean description: <MBeanInterfaceClass>.mbean MBean attribute description: <MBeanInterfaceClass>.attribute.<AttributeName> MBean operation description: <MBeanInterfaceClass>.operation.<OperationName> MBean operation parameter description: <MBeanInterfaceClass>.operation.<OperationName>.<ParameterName> MBean constructor description: <MBeanInterfaceClass>.constructor.<ConstructorName> MBean constructor parameter description: <MBeanInterfaceClass>.constructor.<ConstructorName>.<ParameterName> We also purposely named our resource bundle class MBeanDescriptions and included it as part of the same package as our MBean. We already followed the above conventions when creating our resource bundle in part II, and our default resource bundle class with English descriptions looks like: package blog.wls.jmx.appmbean; import java.util.ListResourceBundle; public class MBeanDescriptions extends ListResourceBundle { protected Object[][] getContents() { return new Object[][] { {"PropertyConfigMXBean.mbean", "MBean used to manage persistent application properties"}, {"PropertyConfigMXBean.attribute.Properties", "Properties associated with the running application"}, {"PropertyConfigMXBean.operation.setProperty", "Create a new property, or change the value of an existing property"}, {"PropertyConfigMXBean.operation.setProperty.key", "Name that identify the property to set."}, {"PropertyConfigMXBean.operation.setProperty.value", "Value for the property being set"}, {"PropertyConfigMXBean.operation.getProperty", "Get the value for an existing property"}, {"PropertyConfigMXBean.operation.getProperty.key", "Name that identify the property to be retrieved"} }; } } We have now also added a resource bundle with French localized descriptions: package blog.wls.jmx.appmbean; import java.util.ListResourceBundle; public class MBeanDescriptions_fr extends ListResourceBundle { protected Object[][] getContents() { return new Object[][] { {"PropertyConfigMXBean.mbean", "Manage proprietes sauvegarde dans un fichier disque."}, {"PropertyConfigMXBean.attribute.Properties", "Proprietes associee avec l'application en cour d'execution"}, {"PropertyConfigMXBean.operation.setProperty", "Construit une nouvelle proprietee, ou change la valeur d'une proprietee existante."}, {"PropertyConfigMXBean.operation.setProperty.key", "Nom de la propriete dont la valeur est change."}, {"PropertyConfigMXBean.operation.setProperty.value", "Nouvelle valeur"}, {"PropertyConfigMXBean.operation.getProperty", "Retourne la valeur d'une propriete existante."}, {"PropertyConfigMXBean.operation.getProperty.key", "Nom de la propriete a retrouver."} }; } } So now we can just remove the many getDescriptions methods from our MBean code, and have a much cleaner: package blog.wls.jmx.appmbean; import java.io.IOException; import java.io.InputStream; import java.io.OutputStream; import java.io.FileInputStream; import java.io.FileOutputStream; import java.io.File; import java.net.URL; import java.util.Map; import java.util.HashMap; import java.util.Properties; import javax.management.MBeanServer; import javax.management.ObjectName; import javax.management.MBeanRegistration; import javax.management.StandardMBean; import javax.management.MBeanOperationInfo; import javax.management.MBeanParameterInfo; public class PropertyConfig extends StandardMBean implements PropertyConfigMXBean, MBeanRegistration { private String relativePath_ = null; private Properties props_ = null; private File resource_ = null; private static Map operationsParamNames_ = null; static { operationsParamNames_ = new HashMap(); operationsParamNames_.put("setProperty", new String[] {"key", "value"}); operationsParamNames_.put("getProperty", new String[] {"key"}); } public PropertyConfig(String relativePath) throws Exception { super(PropertyConfigMXBean.class , true); props_ = new Properties(); relativePath_ = relativePath; } public String setProperty(String key, String value) throws IOException { String oldValue = null; if (value == null) { oldValue = String.class.cast(props_.remove(key)); } else { oldValue = String.class.cast(props_.setProperty(key, value)); } save(); return oldValue; } public String getProperty(String key) { return props_.getProperty(key); } public Map getProperties() { return (Map) props_; } private void load() throws IOException { InputStream is = new FileInputStream(resource_); try { props_.load(is); } finally { is.close(); } } private void save() throws IOException { OutputStream os = new FileOutputStream(resource_); try { props_.store(os, null); } finally { os.close(); } } public ObjectName preRegister(MBeanServer server, ObjectName name) throws Exception { // MBean must be registered from an application thread // to have access to the application ClassLoader ClassLoader cl = Thread.currentThread().getContextClassLoader(); URL resourceUrl = cl.getResource(relativePath_); resource_ = new File(resourceUrl.toURI()); load(); return name; } public void postRegister(Boolean registrationDone) { } public void preDeregister() throws Exception {} public void postDeregister() {} protected String getParameterName(MBeanOperationInfo op, MBeanParameterInfo param, int sequence) { return operationsParamNames_.get(op.getName())[sequence]; } } The only reason we are still extending the StandardMBean class, is to override the default values for our operations parameters name. If this isn't a concern, then one could just write the following code: package blog.wls.jmx.appmbean; import java.io.IOException; import java.io.InputStream; import java.io.OutputStream; import java.io.FileInputStream; import java.io.FileOutputStream; import java.io.File; import java.net.URL; import java.util.Properties; import javax.management.MBeanServer; import javax.management.ObjectName; import javax.management.MBeanRegistration; import javax.management.StandardMBean; import javax.management.MBeanOperationInfo; import javax.management.MBeanParameterInfo; public class PropertyConfig implements PropertyConfigMXBean, MBeanRegistration { private String relativePath_ = null; private Properties props_ = null; private File resource_ = null; public PropertyConfig(String relativePath) throws Exception { props_ = new Properties(); relativePath_ = relativePath; } public String setProperty(String key, String value) throws IOException { String oldValue = null; if (value == null) { oldValue = String.class.cast(props_.remove(key)); } else { oldValue = String.class.cast(props_.setProperty(key, value)); } save(); return oldValue; } public String getProperty(String key) { return props_.getProperty(key); } public Map getProperties() { return (Map) props_; } private void load() throws IOException { InputStream is = new FileInputStream(resource_); try { props_.load(is); } finally { is.close(); } } private void save() throws IOException { OutputStream os = new FileOutputStream(resource_); try { props_.store(os, null); } finally { os.close(); } } public ObjectName preRegister(MBeanServer server, ObjectName name) throws Exception { // MBean must be registered from an application thread // to have access to the application ClassLoader ClassLoader cl = Thread.currentThread().getContextClassLoader(); URL resourceUrl = cl.getResource(relativePath_); resource_ = new File(resourceUrl.toURI()); load(); return name; } public void postRegister(Boolean registrationDone) { } public void preDeregister() throws Exception {} public void postDeregister() {} } Note: The above would also require changing the operations parameters name in the resource bundle classes. For instance: PropertyConfigMXBean.operation.setProperty.key would become: PropertyConfigMXBean.operation.setProperty.p0 Client based localization When accessing our MBean using JConsole started with the following command line: jconsole -J-Djava.class.path=$JAVA_HOME/lib/jconsole.jar:$JAVA_HOME/lib/tools.jar: $WL_HOME/server/lib/wljmxclient.jar -J-Djmx.remote.protocol.provider.pkgs=weblogic.management.remote -debug We see that our MBean descriptions are localized according to the WebLogic's server Locale. English in this case: Note: Consult Part I for information on how to use JConsole to browse/edit our MBean. Now if we specify the client's Locale as part of the JConsole command line as follow: jconsole -J-Djava.class.path=$JAVA_HOME/lib/jconsole.jar:$JAVA_HOME/lib/tools.jar: $WL_HOME/server/lib/wljmxclient.jar -J-Djmx.remote.protocol.provider.pkgs=weblogic.management.remote -J-Dweblogic.management.remote.locale=fr-FR -debug We see that our MBean descriptions are now localized according to the specified client's Locale. French in this case: We use the weblogic.management.remote.locale system property to specify the Locale that should be associated with the cient's JMX connections. The value is composed of the client's language code and its country code separated by the - character. The country code is not required, and can be omitted. For instance: -Dweblogic.management.remote.locale=fr We can also specify the client's Locale using a programmatic client as demonstrated below: package blog.wls.jmx.appmbean.client; import javax.management.MBeanServerConnection; import javax.management.ObjectName; import javax.management.MBeanInfo; import javax.management.remote.JMXConnector; import javax.management.remote.JMXServiceURL; import javax.management.remote.JMXConnectorFactory; import java.util.Hashtable; import java.util.Set; import java.util.Locale; public class JMXClient { public static void main(String[] args) throws Exception { JMXConnector jmxCon = null; try { JMXServiceURL serviceUrl = new JMXServiceURL( "service:jmx:iiop://127.0.0.1:7001/jndi/weblogic.management.mbeanservers.runtime"); System.out.println("Connecting to: " + serviceUrl); // properties associated with the connection Hashtable env = new Hashtable(); env.put(JMXConnectorFactory.PROTOCOL_PROVIDER_PACKAGES, "weblogic.management.remote"); String[] credentials = new String[2]; credentials[0] = "weblogic"; credentials[1] = "weblogic"; env.put(JMXConnector.CREDENTIALS, credentials); // specifies the client's Locale env.put("weblogic.management.remote.locale", Locale.FRENCH); jmxCon = JMXConnectorFactory.newJMXConnector(serviceUrl, env); jmxCon.connect(); MBeanServerConnection con = jmxCon.getMBeanServerConnection(); Set mbeans = con.queryNames( new ObjectName( "blog.wls.jmx.appmbean:name=myAppProperties,type=PropertyConfig,*"), null); for (ObjectName mbeanName : mbeans) { System.out.println("\n\nMBEAN: " + mbeanName); MBeanInfo minfo = con.getMBeanInfo(mbeanName); System.out.println("MBean Description: "+minfo.getDescription()); System.out.println("\n"); } } finally { // release the connection if (jmxCon != null) jmxCon.close(); } } } The above client code is part of the zip file associated with this blog, and can be run using the provided client.sh script. The resulting output is shown below: $ ./client.sh Connecting to: service:jmx:iiop://127.0.0.1:7001/jndi/weblogic.management.mbeanservers.runtime MBEAN: blog.wls.jmx.appmbean:type=PropertyConfig,name=myAppProperties MBean Description: Manage proprietes sauvegarde dans un fichier disque. $ Miscellaneous Using Description annotation to specify MBean descriptions Earlier we have seen how to name our MBean descriptions resource keys, so that WebLogic 10.3.3.0 automatically uses them to localize our MBean. In some cases we might want to implicitly specify the resource key, and resource bundle. For instance when operations are overloaded, and the operation name is no longer sufficient to uniquely identify a single operation. In this case we can use the Description annotation provided by WebLogic as follow: import weblogic.management.utils.Description; @Description(resourceKey="myapp.resources.TestMXBean.description", resourceBundleBaseName="myapp.resources.MBeanResources") public interface TestMXBean { @Description(resourceKey="myapp.resources.TestMXBean.threshold.description", resourceBundleBaseName="myapp.resources.MBeanResources" ) public int getthreshold(); @Description(resourceKey="myapp.resources.TestMXBean.reset.description", resourceBundleBaseName="myapp.resources.MBeanResources") public int reset( @Description(resourceKey="myapp.resources.TestMXBean.reset.id.description", resourceBundleBaseName="myapp.resources.MBeanResources", displayNameKey= "myapp.resources.TestMXBean.reset.id.displayName.description") int id); } The Description annotation should be applied to the MBean interface. It can be used to specify MBean, MBean attributes, MBean operations, and MBean operation parameters descriptions as demonstrated above. Retrieving the Locale associated with a JMX operation from the MBean code There are several cases where it is necessary to retrieve the Locale associated with a JMX call from the MBean implementation. For instance this can be useful when localizing exception messages. This can be done as follow: import weblogic.management.mbeanservers.JMXContextUtil; ...... // some MBean method implementation public String setProperty(String key, String value) throws IOException { Locale callersLocale = JMXContextUtil.getLocale(); // use callersLocale to localize Exception messages or // potentially some return values such a Date .... } Conclusion With this last part we conclude our three part series on how to write MBeans to manage J2EE applications. We are far from having exhausted this particular topic, but we have gone a long way and are now capable to take advantage of the latest functionality provided by WebLogic's application server to write user friendly MBeans.

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  • Best way to implement user-powered data validation

    - by vegetables
    I run a product recommendation engine and I'm hitting a few snags. I'm looking to see if anyone has any recommendations on what I should do to minimize these issues. Here's how the site works: Users come to the site and are presented with product recommendations based on some criteria. If a user knows of a product that is not in our system, they can add it by providing the product name and manufacturer. We take that information, and: Hit one API to gather all the product meta-data (and to validate the product spelling, etc). If the product is not in this first API, we do not allow it in our system. Use the information from step 1 to hit another API for pricing information (gathered from many places online). For the sake of discussion, assume that I am searching both APIs in the most efficient/successful manner possible. For the most part, this works very well. I'd say ~80% of our data is perfectly accurate, but there are a few issues: Sometimes the pricing API (Step 2) doesn't have any information for the product. The way the pricing API is built, it will always return something (theoretically, the closest possible match), and there's no guarantee that the product name is spelled exactly the same way in both APIs, so there's no automated way of knowing if it's the right product. When the pricing API finds the right product, occasionally it has outdated, or even invalid pricing data (e.g. if it screen-scraped the wrong price from a website). Since the site was fairly small at first, I was able to manually verify every product that was added to the website. However, the site has grown to the point where this is taking several hours per day, and is just not efficient use of my time. So, my question is: Aside from hiring someone (or getting an intern) to validate all the data manually, what would be the best system of letting my userbase self-manage the data. Specifically, how can I allow users to edit the data while minimizing the risk of someone ambushing my website, or accidentally setting the data incorrectly.

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  • data handling with javascript

    - by Vincent Warmerdam
    Python has a very neat package called pandas which allows for quick data transformation; tables, aggregation, that sort of thing. A lot of these types of functionality can also be found in the python itertools module. The plyR package in R is also very similar. Usually one woud use this functionality to produce a table which is later visualized with a plot. I am personally very fond of d3, and I would like to allow the user to first indicate what type of data aggregation he wants on the dataset before it is visualized. The visualisation in question involves making a heatmap where the user gets to select the size of the bins of the heatmap beforehand (I want d3 to project this through leaflet). I want to visually select the ideal size of the bins for the heatmap. The way I work now is that I take the dataset, aggregate it with python and then manually load it in d3. This is a process that takes a lot of human effort and I was wondering if the data aggregation can be done through the javascript of the browser. I couldn't find a package for javascript specifically built for data, suggesting (to me) that this is a bad idea and that one should not use javascript for the data handling. Is there a good module/package for javascript to handle data aggregation? Is it a good/bad idea to do the data aggregation in javascript (performance wise)?

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  • Customizing the NUnit GUI for data-driven testing

    - by rwong
    My test project consists of a set of input data files which is fed into a piece of legacy third-party software. Since the input data files for this software are difficult to construct (not something that can be done intentionally), I am not going to add new input data files. Each input data file will be subject to a set of "test functions". Some of the test functions can be invoked independently. Other test functions represent the stages of a sequential operation - if an earlier stage fails, the subsequent stages do not need to be executed. I have experimented with the NUnit parametrized test case (TestCaseAttribute and TestCaseSourceAttribute), passing in the list of data files as test cases. I am generally satisfied with the the ability to select the input data for testing. However, I would like to see if it is possible to customize its GUI's tree structure, so that the "test functions" become the children of the "input data". For example: File #1 CheckFileTypeTest GetFileTopLevelStructureTest CompleteProcessTest StageOneTest StageTwoTest StageThreeTest File #2 CheckFileTypeTest GetFileTopLevelStructureTest CompleteProcessTest StageOneTest StageTwoTest StageThreeTest This will be useful for identifying the stage that failed during the processing of a particular input file. Is there any tips and tricks that will enable the new tree layout? Do I need to customize NUnit to get this layout?

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  • Test Data in a Distributed System

    - by Davin Tryon
    A question that has been vexing me lately has been about how to effectively test (end-to-end) features in a distributed system. Particuarly, how to effectively manage (through time) test data for feature testing. The system in question is a typical SOA setup. The composition is done in JavaScript when call to several REST APIs. Each service is built as an independent block. Each service has some kind of persistent storage (SQL Server in most cases). The main issue at the moment is how to approach test data when testing end-to-end features. Functional end-to-end testing occurs through the UI, and it is therefore necessary for test data to be set up before the test run (this could be manual or automated testing). As is typical in a distributed system, identifiers from one service are used as a link in another service. So, some level of synchronization needs to be present in the data to effectively test. What is the best way to manage and set up this data after a successful deployment to a test environment? For example, is it better to manage this test data inside each service? Or package it together with the testing suite? Does that testing suite exist as a separate project? I'm interested in design guidance about how to store and manage this test data as the application features evolve.

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  • How to choose how to store data?

    - by Eldros
    Give a man a fish and you feed him for a day. Teach a man to fish and you feed him for a lifetime. - Chinese Proverb I could ask what kind of data storage I should use for my actual project, but I want to learn to fish, so I don't need to ask for a fish each time I begin a new project. So, until I used two methods to store data on my non-game project: XML files, and relational databases. I know that there is also other kind of database, of the NoSQL kind. However I wouldn't know if there is more choice available to me, or how to choose in the first place, aside arbitrary picking one. So the question is the following: How should I choose the kind of data storage for a game project? And I would be interested on the following criterion when choosing: The size of the project. The platform targeted by the game. The complexity of the data structure. Added Portability of data amongst many project. Added How often should the data be accessed Added Multiple type of data for a same application Any other point you think is of interest when deciding what to use. EDIT I know about Would it be better to use XML/JSON/Text or a database to store game content?, but thought it didn't address exactly my point. Now if I am wrong, I would gladely be shown the error in my ways.

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