Search Results

Search found 17950 results on 718 pages for 'oracle news announcements'.

Page 522/718 | < Previous Page | 518 519 520 521 522 523 524 525 526 527 528 529  | Next Page >

  • How to structure a Visual Studio project for the data access layer

    - by Akk
    I currently have a project that uses various DB access technologies mainly for showcasing or for demos. Currently we have: Namespace App.Data (App.Data.dll) Folder NHibernate Folder EntityFramework Folder LinqToSql The above structure is ok as we only use Sql Server as the DB. But going forward we will be including Oracle, MySql etc. So what would be a better structure with this in mind? I thought about: Namespace App.Data.SqlServer (App.Data.SqlServer.dll) Folder NHibernate Folder EntityFramework Folder LinqToSql Or would it just be better to have separate assemblies for each database and access technology?: Namespace App.Data.SqlServer.NHibernate (App.Data.SqlServer.NHibernate.dll) Namespace App.Data.SqlServer.EntityFramework(App.Data.SqlServer.EntityFramework.dll) Namespace App.Data.Oracle.NHibernate (App.Data.Oracle.NHibernate.dll) Namespace App.Data.MySql.NHibernate (App.Data.MySql.Oracle.dll)

    Read the article

  • Couldn't run loadjava on user schema to load dbwsclientws.jar dbwsclientdb102.jar

    - by padmaja
    I am trying to load oracle webservice client jars to my schema. I did set the PATH to inlcude: /u01/app/oracle/product/10.2.0/db_1/bin When I try to run loadjava as "loadjava -u myschema/myscehmapwd -r -v -f -genmissing dbwsclientws.jar dbwsclientdb102.jar" I am getting error: Exception in thread "main" java.lang.NoClassDefFoundError: oracle/aurora/server/tools/loadjava/LoadJavaMain. Does it mean that jvm is not setup on the box? How can I check if the jvm is enabled or not? I am running it on Oracle 10g in UNIX environment. Any help with the issue is greatly appreciated.

    Read the article

  • R webscraping: interrogating for date and importance

    - by adam.888
    I am able to webscrape a table from a webpage containing news library(XML) webpage <- "http://www.tradingeconomics.com/calendar" tables <- readHTMLTable(webpage ) n.rows <- unlist(lapply(tables, function(t) dim(t)[1])) dfcal <- as.data.frame(tables$calendar) However I do not know how to interrogate for date or for importance. For example how could I webscrape news from Jan 2014? I am able to do this on the webpage by altering button settings, but how can I do it from within R? I was also not able to collect the importance column data. Also are there better ways for collecting economic news from within R? I have looked on http://www.rseek.org/ but could not find anything. Thank you for your help.

    Read the article

  • Flexible Data source for Multi-Section Table View Controller

    - by TuanCM
    I have a TableViewController which display a list of NewsItem objects: @interface NewsItem : NSObject { NSString *feedID; NSString *title; NSDate *published; } I'm trying to implement a Table View Controller (multiple sections) that can display the list in two ways: One divide News Items into sections which based on Published Date The other would be based on FeedID (News source). And I don't know how to structure the data source so that the code is easy to maintain. I tried to put the list of News Items into a 2 dimension Array in this case is a NSMutableArray of NSArray objects. However I got some objc_exception_throw and I don't think this is flexible enough. Could you guys give me some ideas?

    Read the article

  • Which one is better apporach comet or ajax?

    - by Rajesh Rolen- DotNet Developer
    i need to update client on any changes occurred on server. for that i found 2 approach. 1. using ajax which is also known as reverse ajax for this purpose. 2. using COMET. but i don't know exact difference in both. my site contains news content and i want that news to be automatically updates when new news is entered by my CMS application. i have got hundreds of concurrent users on my web application. please suggest me which approach should i use to get best solution. also please provide me good example's like for that so that i can implement it. NOTE: i am using .net framework 2.0 but if its not possible in 2.0 then can also move to 3.5 Thanks.

    Read the article

  • PHP: Star rating system concept?

    - by Prashant
    I am using PHP/MYSQL/JQUERY. I have a site which have news section. On news details page, I want to add star rating system which will allow user to rate the news story. I am using this jquery rating system http://www.fyneworks.com/jquery/star-rating/ Now, I am not getting what will be the database structure and then what I need to code in PHP. I need what logic will be applied for this, like if 1000 people voted for the article, some given rating as 2 or 3 or1 or 5. Then Where I should be storing (db structure) this all and what I'll calculate (in php code). If someone has any article which shows this concept please provide. Please help, to understand the logic and concept of this. Thanks!

    Read the article

  • Extending fluent nhibernate mappings in another assembly

    - by Jarek
    Hi, I'm using NHibernate with my ASP.Net MVC application. I'm writing some extensions (plugins) for my application. And I'm loading those plugin dynamically (from different assemblies). In my base application I have many entities and mappings defined (User, Group, etc...) I need to create new entities in my extensions, so i.e. I'm creating News module, so I need to create News mapping. In database News table has a foreign key to User table. Is there any way I can modify my User mapping, so it will have: HasMany(x => x.Courses) .KeyColumn("GroupId") .Inverse(); Or the only way to do it is to change code in my User class and recompile project ? I'm not NHibernate advanced user, so any help will be appreciated. TIA.

    Read the article

  • Replacing keywords in text with php & mysql

    - by intacto
    Hello, I have a news site containing an archive with more than 1 million news. I created a word definitions database with about 3000 entries, consisting of word-definition pairs. What I want to do is adding a definition next to every occurence of these words in the news. I cant make a static change as I can add a new keyword everyday, so i can make it realtime or cached. The question is, a str_replace or a preg_replace would be very slow for searching 3 thousand keywords in a text and replacing them. Are there any fast alternatives?

    Read the article

  • Php regular expression to match a div

    - by Thoman
    Hello This is mycode <?php /** * @author Joomlacoders * @copyright 2010 */ $url="http://urlchecker.net/html/demo.html"; $innerHtml=file_get_contents($url); //echo $innerHtml; preg_match_all("{\<div id='news-id-.*d'\>(.*)\</div\>}",$innerHtml,$matches); //<div id='news-id-160346'> var_dump($matches); ?> I want find all content in div id='news-id-160346'. Please help me

    Read the article

  • Redirecting part of URL in Nginx

    - by Maca
    Trying to move my blog to a new site and I want to redirect some urls. I use nginx. https://blogurl.com/news/2014-08-19/post-3451/mt-preview-33e2742af1eb.php The /news/2014-08-19/post-3451/mt-preview-33e2742af1eb.php part would be always moving. Redirect to below: https://blogurl.com/content/news/2014-08-19/post-3451/mt-preview-33e2742af1eb.php I basically want to insert /content/ after https://blogurl.com and so far I have rewrite ^(.*)$ /content/ break; But my issue is my CMS sits on the same directory level https://blogurl.com/mt/admin and if I simply apply the rewrite above my CMS address would move too. How could I prevent this.

    Read the article

  • Social Shopping

    - by David Dorf
    I've written about various breeds of social shopping in the past, so I decided to give some thought into a categorization with examples. Below I've listed the different types of social shopping I've observed and some companies that support them. Comments and Ratings -- Commenting on products has been around almost as long as e-commerce. Two popular players in this space are BazaarVoice and PowerReviews. Most shoppers prefer relying on peer reviews rather than retailer descriptions, so the influence over sales is very strong. f-commerce -- A new term that was sure to rear its ugly head when retailers started allowing shopping on Facebook, And its all Elastic Path and Alvenda's fault! Co-shopping -- Retailers like Wet Seal are enabling multiple people to shop together online. This is particularly applicable to fashion, where the real-time exchange of opinions is important. I actually tried this with a co-worker and its pretty cool. Bragging -- Blippy is Twitter for shoppers, allowing purchases to be "tweeted" so you can keep up with your friends. I get alerted when friends download music or apps from iTunes because chances are I'll be interested as well. This covert influence is one-up'ed by Snatter, a service that gives people discounts for tweeting or posting promotions from retailers. This is the petri dish of viral marketing. Advice -- Combine the bragging of Blippy and the opinions from BazaarVoice and you'd get ShopSocially, a social network dedicated to spreading product knowledge amongst informed shoppers. I'm sure if I gave it more thought, a few more types would come to mind, but I've got to get back to work. Now is not the time to be blogging at Oracle!

    Read the article

  • Upgrade 10g Osso to 11g OAM (Part 2)

    - by Pankaj Chandiramani
    This is part 2 of http://blogs.oracle.com/pankaj/2010/11/upgrade_10g_osso_to_11g_oam.html So last post we saw the overview of upgrading osso to oam11g . Now some more details on same . As we are using the co-existence feature , we have to install the OAM server and upgrade the existing OSSO 10g server to the OAM servers. OAM Upgrade Steps Overview Pre-Req : You already have a OAM 11g Installed Upgrade Step 1: Configure User Store & Make it Primary Upgrade Step 2: Create Policy Domain , this is dome by UA automatically Upgrade Step 3: Migrate Partners : This is done by running Upgrade Assistant Verify successful Upgrade Details on UA step : To Upgrade the existing OSSO 10g servers to OAM server , this is done by running the UA script in OAM , which copies over all the partner app details from osso to OAM 11g , run_ua.sh is the script name which will ask you to input the Policies.properties from SSO $OH/sso/config folder of osso 10g & other variables like db password . Some pointers Upgrading oso to Oam 11g , by default enables the coexistence mode on the OAM Server Front-end the OAM server with the same Load Balancer that is the front end of the OSSO 10g servers. Now, OAM and OSSO 10g servers are working in a co-exist mode. OAM 11g is made to understand 10g OSSO Token format and session handling capabilities so as to co-exist with 10g OSSO servers./li How to test ? Try to access the partner applications and verify that single sign on works. Also, verify that user does not have to login in if the user is already authenticated by either OAM or OSSO 10g server. Screen-shots & Troubleshooting tips to be followed .......

    Read the article

  • Java Logger API

    - by Koppar
    This is a more like a tip rather than technical write up and serves as a quick intro for newbies. The logger API helps to diagnose application level or JDK level issues at runtime. There are 7 levels which decide the detailing in logging (SEVERE, WARNING, INFO, CONFIG, FINE, FINER, FINEST). Its best to start with highest level and as we narrow down, use more detailed logging for a specific area. SEVERE is the highest and FINEST is the lowest. This may not make sense until we understand some jargon. The Logger class provides the ability to stream messages to an output stream in a format that can be controlled by the user. What this translates to is, I can create a logger with this simple invocation and use it add debug messages in my class: import java.util.logging.*; private static final Logger focusLog = Logger.getLogger("java.awt.focus.KeyboardFocusManager"); if (focusLog.isLoggable(Level.FINEST)) { focusLog.log(Level.FINEST, "Calling peer setCurrentFocusOwner}); LogManager acts like a book keeper and all the getLogger calls are forwarded to LogManager. The LogManager itself is a singleton class object which gets statically initialized on JVM start up. More on this later. If there is no existing logger with the given name, a new one is created. If there is one (and not yet GC’ed), then the existing Logger object is returned. By default, a root logger is created on JVM start up. All anonymous loggers are made as the children of the root logger. Named loggers have the hierarchy as per their name resolutions. Eg: java.awt.focus is the parent logger for java.awt.focus.KeyboardFocusManager etc. Before logging any message, the logger checks for the log level specified. If null is specified, the log level of the parent logger will be set. However, if the log level is off, no log messages would be written, irrespective of the parent’s log level. All the messages that are posted to the Logger are handled as a LogRecord object.i.e. FocusLog.log would create a new LogRecord object with the log level and message as its data members). The level of logging and thread number are also tracked. LogRecord is passed on to all the registered Handlers. Handler is basically a means to output the messages. The output may be redirected to either a log file or console or a network logging service. The Handler classes use the LogManager properties to set filters and formatters. During initialization or JVM start up, LogManager looks for logging.properties file in jre/lib and sets the properties if the file is provided. An alternate location for properties file can also be specified by setting java.util.logging.config.file system property. This can be set in Java Control Panel ? Java ? Runtime parameters as -Djava.util.logging.config.file = <mylogfile> or passed as a command line parameter java -Djava.util.logging.config.file = C:/Sunita/myLog The redirection of logging depends on what is specified rather registered as a handler with JVM in the properties file. java.util.logging.ConsoleHandler sends the output to system.err and java.util.logging.FileHandler sends the output to file. File name of the log file can also be specified. If you prefer XML format output, in the configuration file, set java.util.logging.FileHandler.formatter = java.util.logging.XMLFormatter and if you prefer simple text, set set java.util.logging.FileHandler.formatter =java.util.logging.SimpleFormatter Below is the default logging Configuration file: ############################################################ # Default Logging Configuration File # You can use a different file by specifying a filename # with the java.util.logging.config.file system property. # For example java -Djava.util.logging.config.file=myfile ############################################################ ############################################################ # Global properties ############################################################ # "handlers" specifies a comma separated list of log Handler # classes. These handlers will be installed during VM startup. # Note that these classes must be on the system classpath. # By default we only configure a ConsoleHandler, which will only # show messages at the INFO and above levels. handlers= java.util.logging.ConsoleHandler # To also add the FileHandler, use the following line instead. #handlers= java.util.logging.FileHandler, java.util.logging.ConsoleHandler # Default global logging level. # This specifies which kinds of events are logged across # all loggers. For any given facility this global level # can be overriden by a facility specific level # Note that the ConsoleHandler also has a separate level # setting to limit messages printed to the console. .level= INFO ############################################################ # Handler specific properties. # Describes specific configuration info for Handlers. ############################################################ # default file output is in user's home directory. java.util.logging.FileHandler.pattern = %h/java%u.log java.util.logging.FileHandler.limit = 50000 java.util.logging.FileHandler.count = 1 java.util.logging.FileHandler.formatter = java.util.logging.XMLFormatter # Limit the message that are printed on the console to INFO and above. java.util.logging.ConsoleHandler.level = INFO java.util.logging.ConsoleHandler.formatter = java.util.logging.SimpleFormatter ############################################################ # Facility specific properties. # Provides extra control for each logger. ############################################################ # For example, set the com.xyz.foo logger to only log SEVERE # messages: com.xyz.foo.level = SEVERE Since I primarily use this method to track focus issues, here is how I get detailed awt focus related logging. Just set the logger name to java.awt.focus.level=FINEST and change the default log level to FINEST. Below is a basic sample program. The sample programs are from http://www2.cs.uic.edu/~sloan/CLASSES/java/ and have been modified to illustrate the logging API. By changing the .level property in the logging.properties file, one can control the output written to the logs. To play around with the example, try changing the levels in the logging.properties file and notice the difference in messages going to the log file. Example --------KeyboardReader.java------------------------------------------------------------------------------------- import java.io.*; import java.util.*; import java.util.logging.*; public class KeyboardReader { private static final Logger mylog = Logger.getLogger("samples.input"); public static void main (String[] args) throws java.io.IOException { String s1; String s2; double num1, num2, product; // set up the buffered reader to read from the keyboard BufferedReader br = new BufferedReader (new InputStreamReader (System.in)); System.out.println ("Enter a line of input"); s1 = br.readLine(); if (mylog.isLoggable(Level.SEVERE)) { mylog.log (Level.SEVERE,"The line entered is " + s1); } if (mylog.isLoggable(Level.INFO)) { mylog.log (Level.INFO,"The line has " + s1.length() + " characters"); } if (mylog.isLoggable(Level.FINE)) { mylog.log (Level.FINE,"Breaking the line into tokens we get:"); } int numTokens = 0; StringTokenizer st = new StringTokenizer (s1); while (st.hasMoreTokens()) { s2 = st.nextToken(); numTokens++; if (mylog.isLoggable(Level.FINEST)) { mylog.log (Level.FINEST, " Token " + numTokens + " is: " + s2); } } } } ----------MyFileReader.java---------------------------------------------------------------------------------------- import java.io.*; import java.util.*; import java.util.logging.*; public class MyFileReader extends KeyboardReader { private static final Logger mylog = Logger.getLogger("samples.input.file"); public static void main (String[] args) throws java.io.IOException { String s1; String s2; // set up the buffered reader to read from the keyboard BufferedReader br = new BufferedReader (new FileReader ("MyFileReader.txt")); s1 = br.readLine(); if (mylog.isLoggable(Level.SEVERE)) { mylog.log (Level.SEVERE,"ATTN The line is " + s1); } if (mylog.isLoggable(Level.INFO)) { mylog.log (Level.INFO, "The line has " + s1.length() + " characters"); } if (mylog.isLoggable(Level.FINE)) { mylog.log (Level.FINE,"Breaking the line into tokens we get:"); } int numTokens = 0; StringTokenizer st = new StringTokenizer (s1); while (st.hasMoreTokens()) { s2 = st.nextToken(); numTokens++; if (mylog.isLoggable(Level.FINEST)) { mylog.log (Level.FINEST,"Breaking the line into tokens we get:"); mylog.log (Level.FINEST," Token " + numTokens + " is: " + s2); } } //end of while } // end of main } // end of class ----------MyFileReader.txt------------------------------------------------------------------------------------------ My first logging example -------logging.properties------------------------------------------------------------------------------------------- handlers= java.util.logging.ConsoleHandler, java.util.logging.FileHandler .level= FINEST java.util.logging.FileHandler.pattern = java%u.log java.util.logging.FileHandler.limit = 50000 java.util.logging.FileHandler.count = 1 java.util.logging.FileHandler.formatter = java.util.logging.SimpleFormatter java.util.logging.ConsoleHandler.level = FINEST java.util.logging.ConsoleHandler.formatter = java.util.logging.SimpleFormatter java.awt.focus.level=ALL ------Output log------------------------------------------------------------------------------------------- May 21, 2012 11:44:55 AM MyFileReader main SEVERE: ATTN The line is My first logging example May 21, 2012 11:44:55 AM MyFileReader main INFO: The line has 24 characters May 21, 2012 11:44:55 AM MyFileReader main FINE: Breaking the line into tokens we get: May 21, 2012 11:44:55 AM MyFileReader main FINEST: Breaking the line into tokens we get: May 21, 2012 11:44:55 AM MyFileReader main FINEST: Token 1 is: My May 21, 2012 11:44:55 AM MyFileReader main FINEST: Breaking the line into tokens we get: May 21, 2012 11:44:55 AM MyFileReader main FINEST: Token 2 is: first May 21, 2012 11:44:55 AM MyFileReader main FINEST: Breaking the line into tokens we get: May 21, 2012 11:44:55 AM MyFileReader main FINEST: Token 3 is: logging May 21, 2012 11:44:55 AM MyFileReader main FINEST: Breaking the line into tokens we get: May 21, 2012 11:44:55 AM MyFileReader main FINEST: Token 4 is: example Invocation command: "C:\Program Files (x86)\Java\jdk1.6.0_29\bin\java.exe" -Djava.util.logging.config.file=logging.properties MyFileReader References Further technical details are available here: http://docs.oracle.com/javase/1.4.2/docs/guide/util/logging/overview.html#1.0 http://docs.oracle.com/javase/1.4.2/docs/api/java/util/logging/package-summary.html http://www2.cs.uic.edu/~sloan/CLASSES/java/

    Read the article

  • WebCenter Spaces 11g - UI Customization

    - by john.brunswick
    When developing on top of a portal platform to support an intranet or extranet, a portion of the development time is spent adjusting the out-of-box user templates to adjust the look and feel of the platform for your organization. Generally your deployment will not need to look like anything like the sites posted on http://cssremix.com/ or http://www.webcreme.com/, but will meet business needs by adjusting basic elements like navigation, color palate and logo placement. After spending some time doing custom UI development with WebCenter Spaces 11G I have gathered a few tips that I hope can help to speed anyone's efforts to quickly "skin" a WebCenter Spaces deployment. A detailed white paper was released that outlines a technique to quickly update the UI during runtime - http://www.oracle.com/technology/products/webcenter/pdf/owcs_r11120_cust_skins_runtime_wp.pdf. Customizing at "runtime" means using CSS and images to adjust the page layout and feel, which when creatively done can change the pages drastically. WebCenter also allows for detailed templates to manage the placement of major page elements like menus, sidebar, etc, but by adjusting only images and CSS we can end up with something like the custom solution shown below. view large image Let's dive right in and take a look at some tools to make our efforts more efficient.

    Read the article

  • DBA Command line options

    - by Anthony Shorten
    There are a number of database utilities supplied with the installation of the Oracle Utilities Application Framework based products. These are typically run in interactive mode where the utility prompts you for the values and then executes the required functionality. Did you know that the utilities also have command line options that allow you to run the utility in silent mode as well? You can assess the command line options by specifying the -h option on the command line. Here is an example of the oragensec command line options: oragensec -d <Owner,OwnerPswd,DbName> -u <Database Users> -r <ReadRole,UserRole> -l <logfile> -h where: -d <Owner,OwnerPswd,DbName> Database connect information for the target database. e.g. spladm,spladm,DB200ODB. -u <Database Users> A comma-separated list of database users where synonyms need to be created. e.g. spluser, splread -r <ReadRole,UserRole> Optional. Names of database roles with read and read-write privileges. Default roles are SPL_READ, SPL_USER. e.g. spl_read,spl_user -l <logfile> Optional. Name of the log file. -h Help The command line options allow the DBA to automate the exeucution either via a script or some utility can than execute utilities. This optin can apply to the majority of DBA utilities supplied with the product. Take a look at others.

    Read the article

  • TOTD #166: Using NoSQL database in your Java EE 6 Applications on GlassFish - MongoDB for now!

    - by arungupta
    The Java EE 6 platform includes Java Persistence API to work with RDBMS. The JPA specification defines a comprehensive API that includes, but not restricted to, how a database table can be mapped to a POJO and vice versa, provides mechanisms how a PersistenceContext can be injected in a @Stateless bean and then be used for performing different operations on the database table and write typesafe queries. There are several well known advantages of RDBMS but the NoSQL movement has gained traction over past couple of years. The NoSQL databases are not intended to be a replacement for the mainstream RDBMS. As Philosophy of NoSQL explains, NoSQL database was designed for casual use where all the features typically provided by an RDBMS are not required. The name "NoSQL" is more of a category of databases that is more known for what it is not rather than what it is. The basic principles of NoSQL database are: No need to have a pre-defined schema and that makes them a schema-less database. Addition of new properties to existing objects is easy and does not require ALTER TABLE. The unstructured data gives flexibility to change the format of data any time without downtime or reduced service levels. Also there are no joins happening on the server because there is no structure and thus no relation between them. Scalability and performance is more important than the entire set of functionality typically provided by an RDBMS. This set of databases provide eventual consistency and/or transactions restricted to single items but more focus on CRUD. Not be restricted to SQL to access the information stored in the backing database. Designed to scale-out (horizontal) instead of scale-up (vertical). This is important knowing that databases, and everything else as well, is moving into the cloud. RBDMS can scale-out using sharding but requires complex management and not for the faint of heart. Unlike RBDMS which require a separate caching tier, most of the NoSQL databases comes with integrated caching. Designed for less management and simpler data models lead to lower administration as well. There are primarily three types of NoSQL databases: Key-Value stores (e.g. Cassandra and Riak) Document databases (MongoDB or CouchDB) Graph databases (Neo4J) You may think NoSQL is panacea but as I mentioned above they are not meant to replace the mainstream databases and here is why: RDBMS have been around for many years, very stable, and functionally rich. This is something CIOs and CTOs can bet their money on without much worry. There is a reason 98% of Fortune 100 companies run Oracle :-) NoSQL is cutting edge, brings excitement to developers, but enterprises are cautious about them. Commercial databases like Oracle are well supported by the backing enterprises in terms of providing support resources on a global scale. There is a full ecosystem built around these commercial databases providing training, performance tuning, architecture guidance, and everything else. NoSQL is fairly new and typically backed by a single company not able to meet the scale of these big enterprises. NoSQL databases are good for CRUDing operations but business intelligence is extremely important for enterprises to stay competitive. RDBMS provide extensive tooling to generate this data but that was not the original intention of NoSQL databases and is lacking in that area. Generating any meaningful information other than CRUDing require extensive programming. Not suited for complex transactions such as banking systems or other highly transactional applications requiring 2-phase commit. SQL cannot be used with NoSQL databases and writing simple queries can be involving. Enough talking, lets take a look at some code. This blog has published multiple blogs on how to access a RDBMS using JPA in a Java EE 6 application. This Tip Of The Day (TOTD) will show you can use MongoDB (a document-oriented database) with a typical 3-tier Java EE 6 application. Lets get started! The complete source code of this project can be downloaded here. Download MongoDB for your platform from here (1.8.2 as of this writing) and start the server as: arun@ArunUbuntu:~/tools/mongodb-linux-x86_64-1.8.2/bin$./mongod./mongod --help for help and startup optionsSun Jun 26 20:41:11 [initandlisten] MongoDB starting : pid=11210port=27017 dbpath=/data/db/ 64-bit Sun Jun 26 20:41:11 [initandlisten] db version v1.8.2, pdfile version4.5Sun Jun 26 20:41:11 [initandlisten] git version:433bbaa14aaba6860da15bd4de8edf600f56501bSun Jun 26 20:41:11 [initandlisten] build sys info: Linuxbs-linux64.10gen.cc 2.6.21.7-2.ec2.v1.2.fc8xen #1 SMP Fri Nov 2017:48:28 EST 2009 x86_64 BOOST_LIB_VERSION=1_41Sun Jun 26 20:41:11 [initandlisten] waiting for connections on port 27017Sun Jun 26 20:41:11 [websvr] web admin interface listening on port 28017 The default directory for the database is /data/db and needs to be created as: sudo mkdir -p /data/db/sudo chown `id -u` /data/db You can specify a different directory using "--dbpath" option. Refer to Quickstart for your specific platform. Using NetBeans, create a Java EE 6 project and make sure to enable CDI and add JavaServer Faces framework. Download MongoDB Java Driver (2.6.3 of this writing) and add it to the project library by selecting "Properties", "LIbraries", "Add Library...", creating a new library by specifying the location of the JAR file, and adding the library to the created project. Edit the generated "index.xhtml" such that it looks like: <h1>Add a new movie</h1><h:form> Name: <h:inputText value="#{movie.name}" size="20"/><br/> Year: <h:inputText value="#{movie.year}" size="6"/><br/> Language: <h:inputText value="#{movie.language}" size="20"/><br/> <h:commandButton actionListener="#{movieSessionBean.createMovie}" action="show" title="Add" value="submit"/></h:form> This page has a simple HTML form with three text boxes and a submit button. The text boxes take name, year, and language of a movie and the submit button invokes the "createMovie" method of "movieSessionBean" and then render "show.xhtml". Create "show.xhtml" ("New" -> "Other..." -> "Other" -> "XHTML File") such that it looks like: <head> <title><h1>List of movies</h1></title> </head> <body> <h:form> <h:dataTable value="#{movieSessionBean.movies}" var="m" > <h:column><f:facet name="header">Name</f:facet>#{m.name}</h:column> <h:column><f:facet name="header">Year</f:facet>#{m.year}</h:column> <h:column><f:facet name="header">Language</f:facet>#{m.language}</h:column> </h:dataTable> </h:form> This page shows the name, year, and language of all movies stored in the database so far. The list of movies is returned by "movieSessionBean.movies" property. Now create the "Movie" class such that it looks like: import com.mongodb.BasicDBObject;import com.mongodb.BasicDBObject;import com.mongodb.DBObject;import javax.enterprise.inject.Model;import javax.validation.constraints.Size;/** * @author arun */@Modelpublic class Movie { @Size(min=1, max=20) private String name; @Size(min=1, max=20) private String language; private int year; // getters and setters for "name", "year", "language" public BasicDBObject toDBObject() { BasicDBObject doc = new BasicDBObject(); doc.put("name", name); doc.put("year", year); doc.put("language", language); return doc; } public static Movie fromDBObject(DBObject doc) { Movie m = new Movie(); m.name = (String)doc.get("name"); m.year = (int)doc.get("year"); m.language = (String)doc.get("language"); return m; } @Override public String toString() { return name + ", " + year + ", " + language; }} Other than the usual boilerplate code, the key methods here are "toDBObject" and "fromDBObject". These methods provide a conversion from "Movie" -> "DBObject" and vice versa. The "DBObject" is a MongoDB class that comes as part of the mongo-2.6.3.jar file and which we added to our project earlier.  The complete javadoc for 2.6.3 can be seen here. Notice, this class also uses Bean Validation constraints and will be honored by the JSF layer. Finally, create "MovieSessionBean" stateless EJB with all the business logic such that it looks like: package org.glassfish.samples;import com.mongodb.BasicDBObject;import com.mongodb.DB;import com.mongodb.DBCollection;import com.mongodb.DBCursor;import com.mongodb.DBObject;import com.mongodb.Mongo;import java.net.UnknownHostException;import java.util.ArrayList;import java.util.List;import javax.annotation.PostConstruct;import javax.ejb.Stateless;import javax.inject.Inject;import javax.inject.Named;/** * @author arun */@Stateless@Namedpublic class MovieSessionBean { @Inject Movie movie; DBCollection movieColl; @PostConstruct private void initDB() throws UnknownHostException { Mongo m = new Mongo(); DB db = m.getDB("movieDB"); movieColl = db.getCollection("movies"); if (movieColl == null) { movieColl = db.createCollection("movies", null); } } public void createMovie() { BasicDBObject doc = movie.toDBObject(); movieColl.insert(doc); } public List<Movie> getMovies() { List<Movie> movies = new ArrayList(); DBCursor cur = movieColl.find(); System.out.println("getMovies: Found " + cur.size() + " movie(s)"); for (DBObject dbo : cur.toArray()) { movies.add(Movie.fromDBObject(dbo)); } return movies; }} The database is initialized in @PostConstruct. Instead of a working with a database table, NoSQL databases work with a schema-less document. The "Movie" class is the document in our case and stored in the collection "movies". The collection allows us to perform query functions on all movies. The "getMovies" method invokes "find" method on the collection which is equivalent to the SQL query "select * from movies" and then returns a List<Movie>. Also notice that there is no "persistence.xml" in the project. Right-click and run the project to see the output as: Enter some values in the text box and click on enter to see the result as: If you reached here then you've successfully used MongoDB in your Java EE 6 application, congratulations! Some food for thought and further play ... SQL to MongoDB mapping shows mapping between traditional SQL -> Mongo query language. Tutorial shows fun things you can do with MongoDB. Try the interactive online shell  The cookbook provides common ways of using MongoDB In terms of this project, here are some tasks that can be tried: Encapsulate database management in a JPA persistence provider. Is it even worth it because the capabilities are going to be very different ? MongoDB uses "BSonObject" class for JSON representation, add @XmlRootElement on a POJO and how a compatible JSON representation can be generated. This will make the fromXXX and toXXX methods redundant.

    Read the article

  • TOTD #166: Using NoSQL database in your Java EE 6 Applications on GlassFish - MongoDB for now!

    - by arungupta
    The Java EE 6 platform includes Java Persistence API to work with RDBMS. The JPA specification defines a comprehensive API that includes, but not restricted to, how a database table can be mapped to a POJO and vice versa, provides mechanisms how a PersistenceContext can be injected in a @Stateless bean and then be used for performing different operations on the database table and write typesafe queries. There are several well known advantages of RDBMS but the NoSQL movement has gained traction over past couple of years. The NoSQL databases are not intended to be a replacement for the mainstream RDBMS. As Philosophy of NoSQL explains, NoSQL database was designed for casual use where all the features typically provided by an RDBMS are not required. The name "NoSQL" is more of a category of databases that is more known for what it is not rather than what it is. The basic principles of NoSQL database are: No need to have a pre-defined schema and that makes them a schema-less database. Addition of new properties to existing objects is easy and does not require ALTER TABLE. The unstructured data gives flexibility to change the format of data any time without downtime or reduced service levels. Also there are no joins happening on the server because there is no structure and thus no relation between them. Scalability and performance is more important than the entire set of functionality typically provided by an RDBMS. This set of databases provide eventual consistency and/or transactions restricted to single items but more focus on CRUD. Not be restricted to SQL to access the information stored in the backing database. Designed to scale-out (horizontal) instead of scale-up (vertical). This is important knowing that databases, and everything else as well, is moving into the cloud. RBDMS can scale-out using sharding but requires complex management and not for the faint of heart. Unlike RBDMS which require a separate caching tier, most of the NoSQL databases comes with integrated caching. Designed for less management and simpler data models lead to lower administration as well. There are primarily three types of NoSQL databases: Key-Value stores (e.g. Cassandra and Riak) Document databases (MongoDB or CouchDB) Graph databases (Neo4J) You may think NoSQL is panacea but as I mentioned above they are not meant to replace the mainstream databases and here is why: RDBMS have been around for many years, very stable, and functionally rich. This is something CIOs and CTOs can bet their money on without much worry. There is a reason 98% of Fortune 100 companies run Oracle :-) NoSQL is cutting edge, brings excitement to developers, but enterprises are cautious about them. Commercial databases like Oracle are well supported by the backing enterprises in terms of providing support resources on a global scale. There is a full ecosystem built around these commercial databases providing training, performance tuning, architecture guidance, and everything else. NoSQL is fairly new and typically backed by a single company not able to meet the scale of these big enterprises. NoSQL databases are good for CRUDing operations but business intelligence is extremely important for enterprises to stay competitive. RDBMS provide extensive tooling to generate this data but that was not the original intention of NoSQL databases and is lacking in that area. Generating any meaningful information other than CRUDing require extensive programming. Not suited for complex transactions such as banking systems or other highly transactional applications requiring 2-phase commit. SQL cannot be used with NoSQL databases and writing simple queries can be involving. Enough talking, lets take a look at some code. This blog has published multiple blogs on how to access a RDBMS using JPA in a Java EE 6 application. This Tip Of The Day (TOTD) will show you can use MongoDB (a document-oriented database) with a typical 3-tier Java EE 6 application. Lets get started! The complete source code of this project can be downloaded here. Download MongoDB for your platform from here (1.8.2 as of this writing) and start the server as: arun@ArunUbuntu:~/tools/mongodb-linux-x86_64-1.8.2/bin$./mongod./mongod --help for help and startup optionsSun Jun 26 20:41:11 [initandlisten] MongoDB starting : pid=11210port=27017 dbpath=/data/db/ 64-bit Sun Jun 26 20:41:11 [initandlisten] db version v1.8.2, pdfile version4.5Sun Jun 26 20:41:11 [initandlisten] git version:433bbaa14aaba6860da15bd4de8edf600f56501bSun Jun 26 20:41:11 [initandlisten] build sys info: Linuxbs-linux64.10gen.cc 2.6.21.7-2.ec2.v1.2.fc8xen #1 SMP Fri Nov 2017:48:28 EST 2009 x86_64 BOOST_LIB_VERSION=1_41Sun Jun 26 20:41:11 [initandlisten] waiting for connections on port 27017Sun Jun 26 20:41:11 [websvr] web admin interface listening on port 28017 The default directory for the database is /data/db and needs to be created as: sudo mkdir -p /data/db/sudo chown `id -u` /data/db You can specify a different directory using "--dbpath" option. Refer to Quickstart for your specific platform. Using NetBeans, create a Java EE 6 project and make sure to enable CDI and add JavaServer Faces framework. Download MongoDB Java Driver (2.6.3 of this writing) and add it to the project library by selecting "Properties", "LIbraries", "Add Library...", creating a new library by specifying the location of the JAR file, and adding the library to the created project. Edit the generated "index.xhtml" such that it looks like: <h1>Add a new movie</h1><h:form> Name: <h:inputText value="#{movie.name}" size="20"/><br/> Year: <h:inputText value="#{movie.year}" size="6"/><br/> Language: <h:inputText value="#{movie.language}" size="20"/><br/> <h:commandButton actionListener="#{movieSessionBean.createMovie}" action="show" title="Add" value="submit"/></h:form> This page has a simple HTML form with three text boxes and a submit button. The text boxes take name, year, and language of a movie and the submit button invokes the "createMovie" method of "movieSessionBean" and then render "show.xhtml". Create "show.xhtml" ("New" -> "Other..." -> "Other" -> "XHTML File") such that it looks like: <head> <title><h1>List of movies</h1></title> </head> <body> <h:form> <h:dataTable value="#{movieSessionBean.movies}" var="m" > <h:column><f:facet name="header">Name</f:facet>#{m.name}</h:column> <h:column><f:facet name="header">Year</f:facet>#{m.year}</h:column> <h:column><f:facet name="header">Language</f:facet>#{m.language}</h:column> </h:dataTable> </h:form> This page shows the name, year, and language of all movies stored in the database so far. The list of movies is returned by "movieSessionBean.movies" property. Now create the "Movie" class such that it looks like: import com.mongodb.BasicDBObject;import com.mongodb.BasicDBObject;import com.mongodb.DBObject;import javax.enterprise.inject.Model;import javax.validation.constraints.Size;/** * @author arun */@Modelpublic class Movie { @Size(min=1, max=20) private String name; @Size(min=1, max=20) private String language; private int year; // getters and setters for "name", "year", "language" public BasicDBObject toDBObject() { BasicDBObject doc = new BasicDBObject(); doc.put("name", name); doc.put("year", year); doc.put("language", language); return doc; } public static Movie fromDBObject(DBObject doc) { Movie m = new Movie(); m.name = (String)doc.get("name"); m.year = (int)doc.get("year"); m.language = (String)doc.get("language"); return m; } @Override public String toString() { return name + ", " + year + ", " + language; }} Other than the usual boilerplate code, the key methods here are "toDBObject" and "fromDBObject". These methods provide a conversion from "Movie" -> "DBObject" and vice versa. The "DBObject" is a MongoDB class that comes as part of the mongo-2.6.3.jar file and which we added to our project earlier.  The complete javadoc for 2.6.3 can be seen here. Notice, this class also uses Bean Validation constraints and will be honored by the JSF layer. Finally, create "MovieSessionBean" stateless EJB with all the business logic such that it looks like: package org.glassfish.samples;import com.mongodb.BasicDBObject;import com.mongodb.DB;import com.mongodb.DBCollection;import com.mongodb.DBCursor;import com.mongodb.DBObject;import com.mongodb.Mongo;import java.net.UnknownHostException;import java.util.ArrayList;import java.util.List;import javax.annotation.PostConstruct;import javax.ejb.Stateless;import javax.inject.Inject;import javax.inject.Named;/** * @author arun */@Stateless@Namedpublic class MovieSessionBean { @Inject Movie movie; DBCollection movieColl; @PostConstruct private void initDB() throws UnknownHostException { Mongo m = new Mongo(); DB db = m.getDB("movieDB"); movieColl = db.getCollection("movies"); if (movieColl == null) { movieColl = db.createCollection("movies", null); } } public void createMovie() { BasicDBObject doc = movie.toDBObject(); movieColl.insert(doc); } public List<Movie> getMovies() { List<Movie> movies = new ArrayList(); DBCursor cur = movieColl.find(); System.out.println("getMovies: Found " + cur.size() + " movie(s)"); for (DBObject dbo : cur.toArray()) { movies.add(Movie.fromDBObject(dbo)); } return movies; }} The database is initialized in @PostConstruct. Instead of a working with a database table, NoSQL databases work with a schema-less document. The "Movie" class is the document in our case and stored in the collection "movies". The collection allows us to perform query functions on all movies. The "getMovies" method invokes "find" method on the collection which is equivalent to the SQL query "select * from movies" and then returns a List<Movie>. Also notice that there is no "persistence.xml" in the project. Right-click and run the project to see the output as: Enter some values in the text box and click on enter to see the result as: If you reached here then you've successfully used MongoDB in your Java EE 6 application, congratulations! Some food for thought and further play ... SQL to MongoDB mapping shows mapping between traditional SQL -> Mongo query language. Tutorial shows fun things you can do with MongoDB. Try the interactive online shell  The cookbook provides common ways of using MongoDB In terms of this project, here are some tasks that can be tried: Encapsulate database management in a JPA persistence provider. Is it even worth it because the capabilities are going to be very different ? MongoDB uses "BSonObject" class for JSON representation, add @XmlRootElement on a POJO and how a compatible JSON representation can be generated. This will make the fromXXX and toXXX methods redundant.

    Read the article

  • New Walkthrough Capability in AutoVue 20

    - by warren.baird
    New in AutoVue 20 is the capability to view a 3D model of a building from the inside - this is a very powerful tool for anyone who needs to work with models of plants, refineries, or other buildings. All of the standard AutoVue functionality is available, so you can click on any part of the building to get attribute data, manipulate the view, do measurement, etc. For example, in the image below we've made the Architectural model (Walls, Floors, etc.) transparent, but left the electrical and mechanical models opaque, so it's easy to see where the wires and piping run behind the walls. Additionally you can bring together different files and different types of files, using our digital mockup capability - in the image below the heating and air conditioning sytem on the left came from one file, and the electrical box on the right came from another wile, and the model of the room came from yet a third file, but with everything brought together into AutoVue you can do things like use our measurement capability to ensure there's enough space to get maintenance equipment down the hallway, before the building is even built. For more information about Walkthrough, you can view a video demo at http://download.oracle.com/autovue/3D_walkthrough_movie.wmv We're very excited about this new capability - do you think this will be useful for you in your work with AutoVue? Let us know!

    Read the article

  • Rychlejší aplikace i bez zmen dotazu - 1.díl - vliv castých Commitu

    - by david.krch
    Pamatuji si, jak jsem pred pár lety sedel na konferenci Oracle Develop a sledoval svého ponekud známejšího kolegu Marka Townsenda ukazovat prostinké demo - jak se jedna a tatáž operace dá udelat bud velmi pomalu a nebo velmi rychle. Nešlo o klasické ladení SQL, ale efektivní volání techto dotazu. Jednotlivé techniky samy o sobe jsou pritom asi všem známé. Ohromilo mne ale hlavne to, jak velký rozdíl ve výkonu stejné operace provádené stejným jednoduchým SQL dotazem muže být. Ríkám si, že kdyby ten rozdíl videlo více lidí, možná by se casteji donutili napsat o ten jeden, dva rádky kódu více, aby byl kód treba i o rád efektivnejší a rychlejší. Pokusil jsem se udelat podobný príklad a na jeho základne vznikla trojice clánku, které postupne vycházely na server Databázový svet.Z nejakého duvodu se ale poslední díl nikdy nedockal publikace. Protože jsem od té doby párkrát narazil na potrebu odkázat nekoho na celou trojici clánku, rozhodl jsem se je re-publikovat na tomto blogu. Problém a rešení budu ukazovat v Jave, ale ve skutecnosti jde o postupy, které jsou platné at už voláte databázi odkudkoliv. Úkol je jednoduchý - vložit 100.000 záznamu do jednoduché tabulky. A postupne si ukážeme že ze základního nejpomalejšího rešení se nekolika jednoduchými kroky dostaneme na rešení, které bude 80x rychlejší.

    Read the article

  • Exception Handling

    - by raghu.yadav
    Here is the few links on which andre had demonstrateddifferences-of-handling-jboexception-in handling-exceptions-in-oracle-ui-shell However in this post we can see how to display exception in popup being in the same page. I use similar usecase as andre however we'll not be using Exception Handling property from taskflow, instead we use popup and invoke the same programmatically. This is a dynamic region example where user can select jobs or locations links to edit the records of corresponding tables being in the same page and click commit to save changes. To generate exception we deliberately change commit to CommitAction in commit action binding code created in the bean (same as andre) and catch the exception and add brief description of exception into #{pageFlowScope.message}. Drop Popup component after Commit button and add dialog within in popup button, bind the popup component to backing bean and invoke the same in catch clause as shown below. public String Commit() { try{ BindingContainer bindings = getBindings(); OperationBinding operationBinding = bindings.getOperationBinding("CommitAction"); Object result = operationBinding.execute(); if (!operationBinding.getErrors().isEmpty()) { return null; } }catch (NullPointerException e) { setELValue("#{pageFlowScope.message}", "NullPointerException..."); e.printStackTrace(); String popupId = this.getPopup().getClientId(FacesContext.getCurrentInstance()); PatternsPublicUtil.invokePopup(popupId); } return null; } } private void setELValue(String el, String value) { FacesContext facesContext = FacesContext.getCurrentInstance(); ELContext elContext = facesContext.getELContext(); ExpressionFactory expressionFactory = facesContext.getApplication().getExpressionFactory(); ValueExpression valueExp = expressionFactory.createValueExpression(elContext, el, Object.class); valueExp.setValue(elContext, value); } .

    Read the article

  • New Release Overview Part 1

    - by brian.harrison
    Ladies & Gentlemen, I have been getting a lot of questions over the last month or two about the next release of WCI codenamed "Neo". Unfortunately I cannot give you an exact release date which I know you all would be asking me for if we were talking face to face, but I can definitely provide you with information about some of the features that will be made available. So over the next few blog entries, I am going to provide you with details about two features and even provide you with screenshots for some of them. KD Browser Portlet This portlet will provide a windows explorer look and feel to the Knowledge Directory from with a Community Page or My Page. Not only will the portlet provide access to the folder structure and the documents within, but the user or community manager will also have the ability to modify what is being shown. From with a preferences page, the user or community manager can change what top-level folders are shown within the folder structure as well as what properties are available for each document that is shown. There are also a number of other portlet specific customizations available as well. Embedded Tagging Engine As some of you might be aware, there was a product made available just prior to the Oracle acquisition known as Pathways which gave users the ability to add tags to documents that were either in the Knowledge Directory or in the Collaboration Documents section. Although this product is no longer available separately for customers to purchase, we definitely did feel that the functionality was important and interesting enough that other customers should have access to it. The decision was made for this release to embed the original Pathways product as the Tagging Engine for WCI and Collaboration. This tagging engine will allow a user to add tags to a document as well as through the Collaboration Documents section. Once the tags are added to the Tagging Engine and associated with documents, then a user will have the ability to filter the documents when processing a search according to the Tags Cloud that will now be available on the Search Results page and this will be true no matter what kind of search is being processed. In addition to all of that, all of the Pathways portlets will also be available for users to add to their My Page.

    Read the article

  • How Do I Implement parameterMaps for ADF Regions and Dynamic Regions?

    - by david.giammona
    parameterMap objects defined by managed beans can help reduce the number of child <parameter> elements listed under an ADF region or dynamic region page definition task flow binding. But more importantly, the parameterMap approach also allows greater flexibility in determining what input parameters are passed to an ADF region or dynamic region. This can be especially helpful when using dynamic regions where each task flow utilized can provide an entirely different set of input parameters. The parameterMap is specified within an ADF region or dynamic region page definition task flow binding as shown below: <taskFlow id="checkoutflow1" taskFlowId="/WEB-INF/checkout-flow.xml#checkout-flow" activation="deferred" xmlns="http://xmlns.oracle.com/adf/controller/binding" parametersMap="#{pageFlowScope.userInfoBean.parameterMap}"/> The parameter map object must implement the java.util.Map interface. The keys it specifies match the names of input parameters defined by the task flows utilized within the task flow binding. An example parameterMap object class is shown below: import java.util.HashMap; import java.util.Map; public class UserInfoBean { private Map<String, Object> parameterMap = new HashMap<String, Object>(); public Map getParameterMap() { parameterMap.put("isLoggedIn", getSecurity().isAuthenticated()); parameterMap.put("principalName", getSecurity().getPrincipalName()); return parameterMap; }

    Read the article

  • Looking ahead at 2011-with Paul Greenberg

    - by divya.malik
    It is almost the end of 2010, rather unbelievable how fast this year has gone by. It is always interesting to read what our CRM gurus have to say about the coming year. So here is CRM luminary, Paul Greenberg’s  forecast for 2011. Mobile CRM growth accelerates. CRM and “Social” companies continue to integrate their capabilities as a few suites begin to emerge. Social “rankings”, as a measure of customer engagement, will become a standard public measure. Analytics exhibits the most significant growth of any area with Customer Insight apps leading the way. Marketing apps mature with social marketing becoming an integral part of the application offering. Customer service begins to redefine itself with greater emphasis on service communities, web self-service and customer knowledge capture. Knowledge management replaces enterprise content management as a core requirement for large businesses. Customer experience reasserts itself loudly as the core of CRM and SCRM - This one is kind of a no-brainer in a way. Co-creation and customer driven product innovation becomes more than just an advanced idea. Microsoft Azure emerges as a true cloud provider at the level of Amazon as cloud computing considers its rise to becoming a primary technology infrastructure. Application marketplaces will become commonplace as companies look to platform providers to fill ecosystem needs, not just CRM. I do encourage you to read the details of his forecasts, that are split into two blog posts. For Part I click here and for Part II, click here. Technorati Tags: oracle,siebel CRM,scrm,paul greenberg

    Read the article

  • OWB 11gR2 - Early Arriving Facts

    - by Dawei Sun
    A common challenge when building ETL components for a data warehouse is how to handle early arriving facts. OWB 11gR2 introduced a new feature to address this for dimensional objects entitled Orphan Management. An orphan record is one that does not have a corresponding existing parent record. Orphan management automates the process of handling source rows that do not meet the requirements necessary to form a valid dimension or cube record. In this article, a simple example will be provided to show you how to use Orphan Management in OWB. We first import a sample MDL file that contains all the objects we need. Then we take some time to examine all the objects. After that, we prepare the source data, deploy the target table and dimension/cube loading map. Finally, we run the loading maps, and check the data in target dimension/cube tables. OK, let’s start… 1. Import MDL file and examine sample project First, download zip file from here, which includes a MDL file and three source data files. Then we open OWB design center, import orphan_management.mdl by using the menu File->Import->Warehouse Builder Metadata. Now we have several objects in BI_DEMO project as below: Mapping LOAD_CHANNELS_OM: The mapping for dimension loading. Mapping LOAD_SALES_OM: The mapping for cube loading. Dimension CHANNELS_OM: The dimension that contains channels data. Cube SALES_OM: The cube that contains sales data. Table CHANNELS_OM: The star implementation table of dimension CHANNELS_OM. Table SALES_OM: The star implementation table of cube SALES_OM. Table SRC_CHANNELS: The source table of channels data, that will be loaded into dimension CHANNELS_OM. Table SRC_ORDERS and SRC_ORDER_ITEMS: The source tables of sales data that will be loaded into cube SALES_OM. Sequence CLASS_OM_DIM_SEQ: The sequence used for loading dimension CHANNELS_OM. Dimension CHANNELS_OM This dimension has a hierarchy with three levels: TOTAL, CLASS and CHANNEL. Each level has three attributes: ID (surrogate key), NAME and SOURCE_ID (business key). It has a standard star implementation. The orphan management policy and the default parent setting are shown in the following screenshots: The orphan management policy options that you can set for loading are: Reject Orphan: The record is not inserted. Default Parent: You can specify a default parent record. This default record is used as the parent record for any record that does not have an existing parent record. If the default parent record does not exist, Warehouse Builder creates the default parent record. You specify the attribute values of the default parent record at the time of defining the dimensional object. If any ancestor of the default parent does not exist, Warehouse Builder also creates this record. No Maintenance: This is the default behavior. Warehouse Builder does not actively detect, reject, or fix orphan records. While removing data from a dimension, you can select one of the following orphan management policies: Reject Removal: Warehouse Builder does not allow you to delete the record if it has existing child records. No Maintenance: This is the default behavior. Warehouse Builder does not actively detect, reject, or fix orphan records. (More details are at http://download.oracle.com/docs/cd/E11882_01/owb.112/e10935/dim_objects.htm#insertedID1) Cube SALES_OM This cube is references to dimension CHANNELS_OM. It has three measures: AMOUNT, QUANTITY and COST. The orphan management policy setting are shown as following screenshot: The orphan management policy options that you can set for loading are: No Maintenance: Warehouse Builder does not actively detect, reject, or fix orphan rows. Default Dimension Record: Warehouse Builder assigns a default dimension record for any row that has an invalid or null dimension key value. Use the Settings button to define the default parent row. Reject Orphan: Warehouse Builder does not insert the row if it does not have an existing dimension record. (More details are at http://download.oracle.com/docs/cd/E11882_01/owb.112/e10935/dim_objects.htm#BABEACDG) Mapping LOAD_CHANNELS_OM This mapping loads source data from table SRC_CHANNELS to dimension CHANNELS_OM. The operator CHANNELS_IN is bound to table SRC_CHANNELS; CHANNELS_OUT is bound to dimension CHANNELS_OM. The TOTALS operator is used for generating a constant value for the top level in the dimension. The CLASS_FILTER operator is used to filter out the “invalid” class name, so then we can see what will happen when those channel records with an “invalid” parent are loading into dimension. Some properties of the dimension operator in this mapping are important to orphan management. See the screenshot below: Create Default Level Records: If YES, then default level records will be created. This property must be set to YES for dimensions and cubes if one of their orphan management policies is “Default Parent” or “Default Dimension Record”. This property is set to NO by default, so the user may need to set this to YES manually. LOAD policy for INVALID keys/ LOAD policy for NULL keys: These two properties have the same meaning as in the dimension editor. The values are set to the same as the dimension value when user drops the dimension into the mapping. The user does not need to modify these properties. Record Error Rows: If YES, error rows will be inserted into error table when loading the dimension. REMOVE Orphan Policy: This property is used when removing data from a dimension. Since the dimension loading type is set to LOAD in this example, this property is disabled. Mapping LOAD_SALES_OM This mapping loads source data from table SRC_ORDERS and SRC_ORDER_ITEMS to cube SALES_OM. This mapping seems a little bit complicated, but operators in the red rectangle are used to filter out and generate the records with “invalid” or “null” dimension keys. Some properties of the cube operator in a mapping are important to orphan management. See the screenshot below: Enable Source Aggregation: Should be checked in this example. If the default dimension record orphan policy is set for the cube operator, then it is recommended that source aggregation also be enabled. Otherwise, the orphan management processing may produce multiple fact rows with the same default dimension references, which will cause an “unstable rowset” execution error in the database, since the dimension refs are used as update match attributes for updating the fact table. LOAD policy for INVALID keys/ LOAD policy for NULL keys: These two properties have the same meaning as in the cube editor. The values are set to the same as in the cube editor when the user drops the cube into the mapping. The user does not need to modify these properties. Record Error Rows: If YES, error rows will be inserted into error table when loading the cube. 2. Deploy objects and mappings We now can deploy the objects. First, make sure location SALES_WH_LOCAL has been correctly configured. Then open Control Center Manager by using the menu Tools->Control Center Manager. Expand BI_DEMO->SALES_WH_LOCAL, click SALES_WH node on the project tree. We can see the following objects: Deploy all the objects in the following order: Sequence CLASS_OM_DIM_SEQ Table CHANNELS_OM, SALES_OM, SRC_CHANNELS, SRC_ORDERS, SRC_ORDER_ITEMS Dimension CHANNELS_OM Cube SALES_OM Mapping LOAD_CHANNELS_OM, LOAD_SALES_OM Note that we deployed source tables as well. Normally, we import source table from database instead of deploying them to target schema. However, in this example, we designed the source tables in OWB and deployed them to database for the purpose of this demonstration. 3. Prepare and examine source data Before running the mappings, we need to populate and examine the source data first. Run SRC_CHANNELS.sql, SRC_ORDERS.sql and SRC_ORDER_ITEMS.sql as target user. Then we check the data in these three tables. Table SRC_CHANNELS SQL> select rownum, id, class, name from src_channels; Records 1~5 are correct; they should be loaded into dimension without error. Records 6,7 and 8 have null parents; they should be loaded into dimension with a default parent value, and should be inserted into error table at the same time. Records 9, 10 and 11 have “invalid” parents; they should be rejected by dimension, and inserted into error table. Table SRC_ORDERS and SRC_ORDER_ITEMS SQL> select rownum, a.id, a.channel, b.amount, b.quantity, b.cost from src_orders a, src_order_items b where a.id = b.order_id; Record 178 has null dimension reference; it should be loaded into cube with a default dimension reference, and should be inserted into error table at the same time. Record 179 has “invalid” dimension reference; it should be rejected by cube, and inserted into error table. Other records should be aggregated and loaded into cube correctly. 4. Run the mappings and examine the target data In the Control Center Manager, expand BI_DEMO-> SALES_WH_LOCAL-> SALES_WH-> Mappings, right click on LOAD_CHANNELS_OM node, click Start. Use the same way to run mapping LOAD_SALES_OM. When they successfully finished, we can check the data in target tables. Table CHANNELS_OM SQL> select rownum, total_id, total_name, total_source_id, class_id,class_name, class_source_id, channel_id, channel_name,channel_source_id from channels_om order by abs(dimension_key); Records 1,2 and 3 are the default dimension records for the three levels. Records 8, 10 and 15 are the loaded records that originally have null parents. We see their parents name (class_name) is set to DEF_CLASS_NAME. Those records whose CHANNEL_NAME are Special_4, Special_5 and Special_6 are not loaded to this table because of the invalid parent. Error Table CHANNELS_OM_ERR SQL> select rownum, class_source_id, channel_id, channel_name,channel_source_id, err$$$_error_reason from channels_om_err order by channel_name; We can see all the record with null parent or invalid parent are inserted into this error table. Error reason is “Default parent used for record” for the first three records, and “No parent found for record” for the last three. Table SALES_OM SQL> select a.*, b.channel_name from sales_om a, channels_om b where a.channels=b.channel_id; We can see the order record with null channel_name has been loaded into target table with a default channel_name. The one with “invalid” channel_name are not loaded. Error Table SALES_OM_ERR SQL> select a.amount, a.cost, a.quantity, a.channels, b.channel_name, a.err$$$_error_reason from sales_om_err a, channels_om b where a.channels=b.channel_id(+); We can see the order records with null or invalid channel_name are inserted into error table. If the dimension reference column is null, the error reason is “Default dimension record used for fact”. If it is invalid, the error reason is “Dimension record not found for fact”. Summary In summary, this article illustrated the Orphan Management feature in OWB 11gR2. Automated orphan management policies improve ETL developer and administrator productivity by addressing an important cause of cube and dimension load failures, without requiring developers to explicitly build logic to handle these orphan rows.

    Read the article

  • What Would Google Do?

    - by David Dorf
    Last year I read Jeff Jarvis' book What Would Google Do? and found it very interesting. Jeff is a long-time journalist that's been studying technology, and more specifically the internet. He used his skills to reverse-engineer Google into a list of "Google rules," then goes on to describe a futuristic world driven by these rules. Its an interesting look at crowd-sourcing, openness, and collaboration across many industries, including retail (Google Shops). This year Jeff Jarvis will be a keynote speaker at CrossTalk, Oracle's user conference dedicated to the retail industry. This year's theme is... Retail Redefined: Redesign. Reinvigorate. Reimagine. I think that's pretty appropriate given the massive changes the industry has undergone during the last three years. The thing I really like about this conference is that we try to let the retailers do most of the talking. I'm very interested in hearing about the innovative projects they've got brewing, and where they think our industry is heading. I'll be speaking, but I'm not sure about what so let me know of any interesting topics.

    Read the article

< Previous Page | 518 519 520 521 522 523 524 525 526 527 528 529  | Next Page >