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• Webby Nominations for Retail

  - by David Dorf

  The Webby Awards were created back in 1996 when the internet was just a baby. This is their 14th year of highlighting excellence on the Web, and there are lots of great nominations. Its quite amazing to see the rich content and interactivity of today's websites. Some interesting nominees for this year are: Sephora did a campaign at Christmas, and what remains of the Sephora Clause website is a bunch of wishes. The Starbucks "All you need is Love" campaign has lots of cool videos. The Sound Check from Walmart highlights raising music artists. Refinery29 has their fashion info hub. The five nominees in the retail category are: Bugaboo.com's website for selling high-end baby strollers. If you're looking for a high-end bag, check out Crumpler's flash-based e-commerce site. It's highly interactive, but a little on the slow side. I Make My Case sells custom designed iPod/iPhone and Blackberry cases. At MOO.com, they love to print. Tons of art for printing customized business cards, post cards, etc. If you want light shoes, check out Puma L.I.F.T. and see just how light shoes can weigh. Check them out, cast a few votes, and see if you're inspired to create something even better.

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• Using a WPF ListView as a DataGrid

  - by psheriff

  Many people like to view data in a grid format of rows and columns. WPF did not come with a data grid control that automatically creates rows and columns for you based on the object you pass it. However, the WPF Toolkit can be downloaded from CodePlex.com that does contain a DataGrid control. This DataGrid gives you the ability to pass it a DataTable or a Collection class and it will automatically figure out the columns or properties and create all the columns for you and display the data.The DataGrid control also supports editing and many other features that you might not always need. This means that the DataGrid does take a little more time to render the data. If you want to just display data (see Figure 1) in a grid format, then a ListView works quite well for this task. Of course, you will need to create the columns for the ListView, but with just a little generic code, you can create the columns on the fly just like the WPF Toolkit’s DataGrid. Figure 1: A List of Data using a ListView A Simple ListView ControlThe XAML below is what you would use to create the ListView shown in Figure 1. However, the problem with using XAML is you have to pre-define the columns. You cannot re-use this ListView except for “Product” data. <ListView x:Name="lstData"          ItemsSource="{Binding}">  <ListView.View>    <GridView>      <GridViewColumn Header="Product ID"                      Width="Auto"               DisplayMemberBinding="{Binding Path=ProductId}" />      <GridViewColumn Header="Product Name"                      Width="Auto"               DisplayMemberBinding="{Binding Path=ProductName}" />      <GridViewColumn Header="Price"                      Width="Auto"               DisplayMemberBinding="{Binding Path=Price}" />    </GridView>  </ListView.View></ListView> So, instead of creating the GridViewColumn’s in XAML, let’s learn to create them in code to create any amount of columns in a ListView. Create GridViewColumn’s From Data TableTo display multiple columns in a ListView control you need to set its View property to a GridView collection object. You add GridViewColumn objects to the GridView collection and assign the GridView to the View property. Each GridViewColumn object needs to be bound to a column or property name of the object that the ListView will be bound to. An ADO.NET DataTable object contains a collection of columns, and these columns have a ColumnName property which you use to bind to the GridViewColumn objects. Listing 1 shows a sample of reading and XML file into a DataSet object. After reading the data a GridView object is created. You can then loop through the DataTable columns collection and create a GridViewColumn object for each column in the DataTable. Notice the DisplayMemberBinding property is set to a new Binding to the ColumnName in the DataTable. C#private void FirstSample(){  // Read the data  DataSet ds = new DataSet();  ds.ReadXml(GetCurrentDirectory() + @"\Xml\Product.xml");    // Create the GridView  GridView gv = new GridView();   // Create the GridView Columns  foreach (DataColumn item in ds.Tables[0].Columns)  {    GridViewColumn gvc = new GridViewColumn();    gvc.DisplayMemberBinding = new Binding(item.ColumnName);    gvc.Header = item.ColumnName;    gvc.Width = Double.NaN;    gv.Columns.Add(gvc);  }   // Setup the GridView Columns  lstData.View = gv;  // Display the Data  lstData.DataContext = ds.Tables[0];} VB.NETPrivate Sub FirstSample()  ' Read the data  Dim ds As New DataSet()  ds.ReadXml(GetCurrentDirectory() & "\Xml\Product.xml")   ' Create the GridView  Dim gv As New GridView()   ' Create the GridView Columns  For Each item As DataColumn In ds.Tables(0).Columns    Dim gvc As New GridViewColumn()    gvc.DisplayMemberBinding = New Binding(item.ColumnName)    gvc.Header = item.ColumnName    gvc.Width = [Double].NaN    gv.Columns.Add(gvc)  Next   ' Setup the GridView Columns  lstData.View = gv  ' Display the Data  lstData.DataContext = ds.Tables(0)End SubListing 1: Loop through the DataTable columns collection to create GridViewColumn objects A Generic Method for Creating a GridViewInstead of having to write the code shown in Listing 1 for each ListView you wish to create, you can create a generic method that given any DataTable will return a GridView column collection. Listing 2 shows how you can simplify the code in Listing 1 by setting up a class called WPFListViewCommon and create a method called CreateGridViewColumns that returns your GridView. C#private void DataTableSample(){  // Read the data  DataSet ds = new DataSet();  ds.ReadXml(GetCurrentDirectory() + @"\Xml\Product.xml");   // Setup the GridView Columns  lstData.View =      WPFListViewCommon.CreateGridViewColumns(ds.Tables[0]);  lstData.DataContext = ds.Tables[0];} VB.NETPrivate Sub DataTableSample()  ' Read the data  Dim ds As New DataSet()  ds.ReadXml(GetCurrentDirectory() & "\Xml\Product.xml")   ' Setup the GridView Columns  lstData.View = _      WPFListViewCommon.CreateGridViewColumns(ds.Tables(0))  lstData.DataContext = ds.Tables(0)End SubListing 2: Call a generic method to create GridViewColumns. The CreateGridViewColumns MethodThe CreateGridViewColumns method will take a DataTable as a parameter and create a GridView object with a GridViewColumn object in its collection for each column in your DataTable. C#public static GridView CreateGridViewColumns(DataTable dt){  // Create the GridView  GridView gv = new GridView();  gv.AllowsColumnReorder = true;   // Create the GridView Columns  foreach (DataColumn item in dt.Columns)  {    GridViewColumn gvc = new GridViewColumn();    gvc.DisplayMemberBinding = new Binding(item.ColumnName);    gvc.Header = item.ColumnName;    gvc.Width = Double.NaN;    gv.Columns.Add(gvc);  }   return gv;} VB.NETPublic Shared Function CreateGridViewColumns _  (ByVal dt As DataTable) As GridView  ' Create the GridView  Dim gv As New GridView()  gv.AllowsColumnReorder = True   ' Create the GridView Columns  For Each item As DataColumn In dt.Columns    Dim gvc As New GridViewColumn()    gvc.DisplayMemberBinding = New Binding(item.ColumnName)    gvc.Header = item.ColumnName    gvc.Width = [Double].NaN    gv.Columns.Add(gvc)  Next   Return gvEnd FunctionListing 3: The CreateGridViewColumns method takes a DataTable and creates GridViewColumn objects in a GridView. By separating this method out into a class you can call this method anytime you want to create a ListView with a collection of columns from a DataTable. SummaryIn this blog you learned how to create a ListView that acts like a DataGrid. You are able to use a DataTable as both the source of the data, and for creating the columns for the ListView. In the next blog entry you will learn how to use the same technique, but for Collection classes. NOTE: You can download the complete sample code (in both VB and C#) at my website. http://www.pdsa.com/downloads. Choose Tips & Tricks, then "WPF ListView as a DataGrid" from the drop-down. Good Luck with your Coding,Paul Sheriff ** SPECIAL OFFER FOR MY BLOG READERS **Visit http://www.pdsa.com/Event/Blog for a free eBook on "Fundamentals of N-Tier".

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• 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 .......

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• I'm Not Bi-Polar, I'm Bi-Winning

  - by David Dorf

  On March 1st, Charlie Sheen joined Twitter and was able to amass 1M followers in 25 hours and 17 minutes, setting an official world record.  So why does it take your brand so long to collect followers?  Easy: you're brand isn't a train wreck.Wouldn't it be great if your customers we chatting about your products as much as they're talking about Charlie #winning?  There are a couple things retailers can do.  First, you can offer check-ins to your customers, which can occasionally get a "ooh, what are you buying there?" in the social network. Another methods is to allow customer to "like" particular products on your Web site.  Companies like Wet Seal excel at that.We've been experimenting with automatic posting from the POS, assuming a customer has opted-in.  When you buy something in a store, the POS can automatically post "Dave just bought something at Wet Seal" to Facebook, Twitter, and Foursquare simultaneously.  We stopped short of mentioning the specific product so we don't pull a Beacon.  The idea is the same: get the conversation started.  Give customers a virtual water-cooler where they can discuss products and influence buying decisions.The guys over at ShopSocially have done something very similar.  On the Facebook page for Cafe Press, customers can claim purchases, effectively bragging on their walls.  Each posting goes through the Facebook newsfeed and gets friends interested.  They are seeing over 1,000 purchases being shared daily, and that's generating over 300,000 brand impressions.Sounds like a winning idea.

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• 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.

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• 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.

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• The Disloyalty Card

  - by David Dorf

  Let's take a break from technology for a second; please indulge me. (That's for you Erick.) A few months back, James Hoffmann reported that Gwilym Davies, the 2009 World Barista Champion, had implemented a rather unique idea for his cafe: the disloyalty card. His card lists eight nearby cafes in London that the cardholder must visit and try a coffee. After sampling all eight and collecting the required stamps, Gwilym provides a free coffee from his shop. His idea sends customers to his competitors. What does this say about Gwilym? First, it tells me he's confident in his abilities to make a mean cup of java. Second, it tells me he's truly passionate about his his trade. But was this a sound business endeavor? Obviously the risk is that one of his loyal customers might just find a better product at a competitor and not return. But the goal isn't really to strengthen his customer base -- its to strengthen the market, which will in turn provide more customers over the long run. This idea seems great for frequently purchased products like restaurants, bars, bakeries, music, and of course, cafes. Its probably not a good idea for high priced merchandise or infrequently purchased items like shoes, electronics, and housewares. Nevertheless, its a great example of thinking in reverse. Try this: Instead of telling your staff how you want customers treated, list out the ways you don't want customers treated. Why should you limit people's imagination and freedom to engage customers? Instead, give them guidelines to avoid the bad behavior, and leave them open to be creative with the positive behavior. Instead of asking the question, "how can we get more people in our stores?" try asking the inverse: "why aren't people visiting our stores?" Innovation doesn't only come from asking "why?" Often it comes from asking "why not?"

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• 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.

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• 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.

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• ASP.NET MVC Validation Complete

  - by Ricardo Peres

  OK, so let’s talk about validation. Most people are probably familiar with the out of the box validation attributes that MVC knows about, from the System.ComponentModel.DataAnnotations namespace, such as EnumDataTypeAttribute, RequiredAttribute, StringLengthAttribute, RangeAttribute, RegularExpressionAttribute and CompareAttribute from the System.Web.Mvc namespace. All of these validators inherit from ValidationAttribute and perform server as well as client-side validation. In order to use them, you must include the JavaScript files MicrosoftMvcValidation.js, jquery.validate.js or jquery.validate.unobtrusive.js, depending on whether you want to use Microsoft’s own library or jQuery. No significant difference exists, but jQuery is more extensible. You can also create your own attribute by inheriting from ValidationAttribute, but, if you want to have client-side behavior, you must also implement IClientValidatable (all of the out of the box validation attributes implement it) and supply your own JavaScript validation function that mimics its server-side counterpart. Of course, you must reference the JavaScript file where the declaration function is. Let’s see an example, validating even numbers. First, the validation attribute: 1: [Serializable] 2: [AttributeUsage(AttributeTargets.Property, AllowMultiple = false, Inherited = true)] 3: public class IsEvenAttribute : ValidationAttribute, IClientValidatable 4: { 5: protected override ValidationResult IsValid(Object value, ValidationContext validationContext) 6: { 7: Int32 v = Convert.ToInt32(value); 8:  9: if (v % 2 == 0) 10: { 11: return (ValidationResult.Success); 12: } 13: else 14: { 15: return (new ValidationResult("Value is not even")); 16: } 17: } 18:  19: #region IClientValidatable Members 20:  21: public IEnumerable<ModelClientValidationRule> GetClientValidationRules(ModelMetadata metadata, ControllerContext context) 22: { 23: yield return (new ModelClientValidationRule() { ValidationType = "iseven", ErrorMessage = "Value is not even" }); 24: } 25:  26: #endregion 27: } The iseven validation function is declared like this in JavaScript, using jQuery validation: 1: jQuery.validator.addMethod('iseven', function (value, element, params) 2: { 3: return (true); 4: return ((parseInt(value) % 2) == 0); 5: }); 6:  7: jQuery.validator.unobtrusive.adapters.add('iseven', [], function (options) 8: { 9: options.rules['iseven'] = options.params; 10: options.messages['iseven'] = options.message; 11: }); Do keep in mind that this is a simple example, for example, we are not using parameters, which may be required for some more advanced scenarios. As a side note, if you implement a custom validator that also requires a JavaScript function, you’ll probably want them together. One way to achieve this is by including the JavaScript file as an embedded resource on the same assembly where the custom attribute is declared. You do this by having its Build Action set as Embedded Resource inside Visual Studio: Then you have to declare an attribute at assembly level, perhaps in the AssemblyInfo.cs file: 1: [assembly: WebResource("SomeNamespace.IsEven.js", "text/javascript")] In your views, if you want to include a JavaScript file from an embedded resource you can use this code: 1: public static class UrlExtensions 2: { 3: private static readonly MethodInfo getResourceUrlMethod = typeof(AssemblyResourceLoader).GetMethod("GetWebResourceUrlInternal", BindingFlags.NonPublic | BindingFlags.Static); 4:  5: public static IHtmlString Resource<TType>(this UrlHelper url, String resourceName) 6: { 7: return (Resource(url, typeof(TType).Assembly.FullName, resourceName)); 8: } 9:  10: public static IHtmlString Resource(this UrlHelper url, String assemblyName, String resourceName) 11: { 12: String resourceUrl = getResourceUrlMethod.Invoke(null, new Object[] { Assembly.Load(assemblyName), resourceName, false, false, null }).ToString(); 13: return (new HtmlString(resourceUrl)); 14: } 15: } And on the view: 1: <script src="<%: this.Url.Resource("SomeAssembly", "SomeNamespace.IsEven.js") %>" type="text/javascript"></script> Then there’s the CustomValidationAttribute. It allows externalizing your validation logic to another class, so you have to tell which type and method to use. The method can be static as well as instance, if it is instance, the class cannot be abstract and must have a public parameterless constructor. It can be applied to a property as well as a class. It does not, however, support client-side validation. Let’s see an example declaration: 1: [CustomValidation(typeof(ProductValidator), "OnValidateName")] 2: public String Name 3: { 4: get; 5: set; 6: } The validation method needs this signature: 1: public static ValidationResult OnValidateName(String name) 2: { 3: if ((String.IsNullOrWhiteSpace(name) == false) && (name.Length <= 50)) 4: { 5: return (ValidationResult.Success); 6: } 7: else 8: { 9: return (new ValidationResult(String.Format("The name has an invalid value: {0}", name), new String[] { "Name" })); 10: } 11: } Note that it can be either static or instance and it must return a ValidationResult-derived class. ValidationResult.Success is null, so any non-null value is considered a validation error. The single method argument must match the property type to which the attribute is attached to or the class, in case it is applied to a class: 1: [CustomValidation(typeof(ProductValidator), "OnValidateProduct")] 2: public class Product 3: { 4: } The signature must thus be: 1: public static ValidationResult OnValidateProduct(Product product) 2: { 3: } Continuing with attribute-based validation, another possibility is RemoteAttribute. This allows specifying a controller and an action method just for performing the validation of a property or set of properties. This works in a client-side AJAX way and it can be very useful. Let’s see an example, starting with the attribute declaration and proceeding to the action method implementation: 1: [Remote("Validate", "Validation")] 2: public String Username 3: { 4: get; 5: set; 6: } The controller action method must contain an argument that can be bound to the property: 1: public ActionResult Validate(String username) 2: { 3: return (this.Json(true, JsonRequestBehavior.AllowGet)); 4: } If in your result JSON object you include a string instead of the true value, it will consider it as an error, and the validation will fail. This string will be displayed as the error message, if you have included it in your view. You can also use the remote validation approach for validating your entire entity, by including all of its properties as included fields in the attribute and having an action method that receives an entity instead of a single property: 1: [Remote("Validate", "Validation", AdditionalFields = "Price")] 2: public String Name 3: { 4: get; 5: set; 6: } 7:  8: public Decimal Price 9: { 10: get; 11: set; 12: } The action method will then be: 1: public ActionResult Validate(Product product) 2: { 3: return (this.Json("Product is not valid", JsonRequestBehavior.AllowGet)); 4: } Only the property to which the attribute is applied and the additional properties referenced by the AdditionalFields will be populated in the entity instance received by the validation method. The same rule previously stated applies, if you return anything other than true, it will be used as the validation error message for the entity. The remote validation is triggered automatically, but you can also call it explicitly. In the next example, I am causing the full entity validation, see the call to serialize(): 1: function validate() 2: { 3: var form = $('form'); 4: var data = form.serialize(); 5: var url = '<%: this.Url.Action("Validation", "Validate") %>'; 6:  7: var result = $.ajax 8: ( 9: { 10: type: 'POST', 11: url: url, 12: data: data, 13: async: false 14: } 15: ).responseText; 16:  17: if (result) 18: { 19: //error 20: } 21: } Finally, by implementing IValidatableObject, you can implement your validation logic on the object itself, that is, you make it self-validatable. This will only work server-side, that is, the ModelState.IsValid property will be set to false on the controller’s action method if the validation in unsuccessful. Let’s see how to implement it: 1: public class Product : IValidatableObject 2: { 3: public String Name 4: { 5: get; 6: set; 7: } 8:  9: public Decimal Price 10: { 11: get; 12: set; 13: } 14:  15: #region IValidatableObject Members 16: 17: public IEnumerable<ValidationResult> Validate(ValidationContext validationContext) 18: { 19: if ((String.IsNullOrWhiteSpace(this.Name) == true) || (this.Name.Length > 50)) 20: { 21: yield return (new ValidationResult(String.Format("The name has an invalid value: {0}", this.Name), new String[] { "Name" })); 22: } 23: 24: if ((this.Price <= 0) || (this.Price > 100)) 25: { 26: yield return (new ValidationResult(String.Format("The price has an invalid value: {0}", this.Price), new String[] { "Price" })); 27: } 28: } 29: 30: #endregion 31: } The errors returned will be matched against the model properties through the MemberNames property of the ValidationResult class and will be displayed in their proper labels, if present on the view. On the controller action method you can check for model validity by looking at ModelState.IsValid and you can get actual error messages and related properties by examining all of the entries in the ModelState dictionary: 1: Dictionary<String, String> errors = new Dictionary<String, String>(); 2:  3: foreach (KeyValuePair<String, ModelState> keyValue in this.ModelState) 4: { 5: String key = keyValue.Key; 6: ModelState modelState = keyValue.Value; 7:  8: foreach (ModelError error in modelState.Errors) 9: { 10: errors[key] = error.ErrorMessage; 11: } 12: } And these are the ways to perform date validation in ASP.NET MVC. Don’t forget to use them!

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• 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.

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• 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); } .

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• Java Spotlight Episode 150: James Gosling on Java

  - by Roger Brinkley

  Interview with James Gosling, father of Java and Java Champion, on the history of Java, his work at Liquid Robotics, Netbeans, the future of Java and what he sees as the next revolutionary trend in the computer industry. Right-click or Control-click to download this MP3 file. You can also subscribe to the Java Spotlight Podcast Feed to get the latest podcast automatically. If you use iTunes you can open iTunes and subscribe with this link: Java Spotlight Podcast in iTunes. Show Notes Feature Interview James Gosling received a BSc in Computer Science from the University of Calgary, Canada in 1977. He received a PhD in Computer Science from Carnegie-Mellon University in 1983. The title of his thesis was "The Algebraic Manipulation of Constraints". He spent many years as a VP & Fellow at Sun Microsystems. He has built satellite data acquisition systems, a multiprocessor version of Unix, several compilers, mail systems and window managers. He has also built a WYSIWYG text editor, a constraint based drawing editor and a text editor called `Emacs' for Unix systems. At Sun his early activity was as lead engineer of the NeWS window system. He did the original design of the Java programming language and implemented its original compiler and virtual machine. He has been a contributor to the Real-Time Specification for Java, and a researcher at Sun labs where his primary interest was software development tools.     He then was the Chief Technology Officer of Sun's Developer Products Group and the CTO of Sun's Client Software Group. He briefly worked for Oracle after the acquisition of Sun. After a year off, he spent some time at Google and is now the chief software architect at Liquid Robotics where he spends his time writing software for the Waveglider, an autonomous ocean-going robot.

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• New Trusted Status awarded to first Mobile Java Developer

  - by Jacob Lehrbaum

  Java Verified has just announced that GameLoft is the first developer to receive its new Trusted Status!  Java Verified is an industry-recognized Java testing and signing program backed and funded by companies such as AT&T, LG, Motorola, Nokia, Oracle, Orange, Samsung and Vodafone, and chartered with making it easier for mobile developers to certify and deploy applications for use across the billions of mobile handsets that run the Java ME.  Because of its breadth and diversity, Java ME provides an unmatched opportunity to reach more than 3 billions consumers, but at the same time, developers are faced with the challenge of working with multiple distribution channels and a range of handsets. To this end, the Java Verified program provides a suite of tests that help to validate identity, functionality, integrity, and quality.  Since its rebirth in 2010 as an independent organization, the Java Verified program has been actively working to make it even easier to create and distribute Java ME apps.  Example initiatives include updates to the Unified Testing Criteria to make it easier to test "Simple Apps," community outreach to better understand and address developer pain-points  and a new "Trusted Status."  In the words of the Java Verified Program, Trusted Status is:a privileged status to be granted to developers who will have proven that the quality of their Java ME apps is of a consistently high standard. These are developers who will have earned the trust of Java Verified by demonstrating unfailingly that testing to the UTC standard is a crucial part of their product development activityThe first developer to be awarded this status is GameLoft.  By achieving Trusted Status Gameloft can now test their applications to the Java Verified standard without needing to provide Java Verified with the evidence.  The apps then automatically get signed with the Java Verified signature enabling GameLoft to benefit from reduced costs and time-to-market for their new Java ME applications from here on out.  Learn more about the exciting news or apply now for Trusted Status!

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• 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; }

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• Java Spotlight Episode 105: Mark Reinhold on the Future of Java

  - by Roger Brinkley

  Our yearly interview with Mark Reinhold, Chief Java Architect, Java Platform Group on the future of Java. Right-click or Control-click to download this MP3 file. You can also subscribe to the Java Spotlight Podcast Feed to get the latest podcast automatically. If you use iTunes you can open iTunes and subscribe with this link:  Java Spotlight Podcast in iTunes. Show Notes News Two Java Update Releases New Java SE 6 software updates from Apple for OS X 10.8, 10.7 and 10.6 are now live and available to all customers via the Mac App Store / Software Update. The JavaFX Community Site on Java.net JSR 360: Connected Limited Device Configuration 8 JSR 361: Java ME Embedded Profile 2012 JCP EC Election Ballot open Meet the EC Candidates Recording and Materials Events Oct 22-23, Freescale Technology Forum - Japan, Tokyo, Japan Oct 23-25, EclipseCon Europe, Ludwigsburg, Germany Oct 30-Nov 1, Arm TechCon, Santa Clara, United States of America Oct 31, JFall, Hart van Holland, Netherlands Nov 2-3, JMaghreb, Rabat, Morocco Nov 5-9, Øredev Developer Conference, Malmö, Sweden Nov 13-17, Devoxx, Antwerp, Belgium Nov 20-22, DOAG 2012, Nuremberg, Germany Dec 3-5, jDays, Göteborg, Sweden Dec 4-6, JavaOne Latin America, Sao Paolo, Brazil Feature InterviewMark Reinhold is Chief Architect of the Java Platform Group at Oracle, where he works on the Java Platform, Standard Edition, and OpenJDK. His past contributions to the platform include character-stream readers and writers, reference objects, shutdown hooks, the NIO high-performance I/O APIs, library generification, and service loaders. Mark was the lead engineer for the 1.2 and 5.0 releases and the specification lead for Java SE 6. He is currently leading the Jigsaw and JDK 7 Projects in the OpenJDK Community. Mark holds a Ph.D. in Computer Science from the Massachusetts Institute of Technology. In this interview he discusses the future of Java Platform with regards to Jigsaw, Lambda, and Nashorn components as well as the OpenJDK community. What’s Cool QotD: Ubuntu 12.10 Release Notes on OpenJDK 7 New Lambda binary drop Development forest for Compact Profiles (JEP 161)

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• 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

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• 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.

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• Java Spotlight Episode 113: John Ceccarelli on Netbeans @JCeccarelli1

  - by Roger Brinkley

  Interview with John Ceccarelli on Netbeans. Right-click or Control-click to download this MP3 file. You can also subscribe to the Java Spotlight Podcast Feed to get the latest podcast automatically. If you use iTunes you can open iTunes and subscribe with this link:  Java Spotlight Podcast in iTunes. Show Notes News JCP Star Spec Leads 2012 Nominations open now until 31 December Java EE 7 Survey Results JavaFX for Tablets Survey JavaFX Scene Builder - Developer Preview Release Oracle JDK 7u10 released with new security features jtreg update, December 2012 Food For Tests: 7u12 Build b05, 8 b68 Preview Builds + Builds with Lambda & Type Annotation Support Developer Preview of Java SE 8 (with JavaFX) for ARM Project Nashorn: The Vote Is In Events Dec 20, 9:30am JCP Spec Lead Call December on Developing a TCK Jan 15-16, JCP EC Face to Face Meeting, West Coast USA Jan 14-17, IOUG, Redwood Shores Jan 29-31, Distributech,  San Diego Feb 2-3 FOSDEM, Brussels Feb 4-6 Jfokus, Sweden Feature Interview John Jullion-Ceccarelli is the head of engineering for the NetBeans open source project and for the VisualVM Java profiler. John started with Sun Microsystems in 2001 as a technical writer and has since held a variety of positions including technical publications manager, engineering manager, and NetBeans IDE 6.9 Release Boss. He recently relocated to the San Francisco Bay Area after 13 years living in Prague, the Czech Republic. What’s Cool Glassfish is 3 years old Arduino/Raspberry-Pi/JavaFX mash-up by Jose Pereda Early Access of Drombler FX for building modular JavaFX applications with OSGi and Maven Eclipse Modeling Framework Support coming for e(fx)clipse 8003562: Provide a command-line tool to find static dependencies Duke’s Choice Awards Winners LAD - includes JCP EC Member TOTVS London Java Community and SouJava jointly win JCP member of the year

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• 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.

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• Elevating Customer Experience through Enterprise Social Networking

  - by john.brunswick

  I am not sure about most people, but I really dislike automated call center routing systems. They are impersonal and convey a sense that the company I am dealing with does not see the value of providing customer service that increases positive perception of their brand. By the time I am connected with a live support representative I am actually more frustrated than before I originally dialed. Each time a company interacts with its customers or prospects there is an opportunity to enhance that relationship. Technical enablers like call center routing systems can be a double edged sword - providing process efficiencies, but removing the human context of some interactions that can build a lot of long term value and create substantial repeat business. Certain web systems, available through "chat with a representative" now links on some web sites, provide a quick and easy way to get in touch with someone and cut down on help desk calls, but miss the opportunity to deliver an even more personal experience to customers and prospects. As more and more users head to the web for self-service and product information, the quality of this interaction becomes critical to supporting a company's brand image and viability. It takes very little effort to go a step further and elevate customer experience, without adding significant cost through social enterprise software technologies. Enterprise Social Networking Social networking technologies have slowly gained footholds in the enterprise, evolving from something that people may have been simply curious about, to tools that have started to provide tangible value in the enterprise. Much like instant messaging, once considered a toy in the enterprise, expertise search, blogs as communications tools, wikis for tacit knowledge sharing are all seeing adoption in a way that is directly applicable to the business and quickly adding value. So where does social networking come in when trying to enhance customer experience?

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• Ray Wang: Why engagement matters in an era of customer experience

  - by Michael Snow

  Why engagement matters in an era of customer experience R "Ray" Wang Principal Analyst & CEO, Constellation Research Mobile enterprise, social business, cloud computing, advanced analytics, and unified communications are converging. Armed with the art of the possible, innovators are seeking to apply disruptive consumer technologies to enterprise class uses — call it the consumerization of IT in the enterprise. The likely results include new methods of furthering relationships, crafting longer term engagement, and creating transformational business models. It's part of a shift from transactional systems to engagement systems. These transactional systems have been around since the 1950s. You know them as ERP, finance and accounting systems, or even payroll. These systems are designed for massive computational scale; users find them rigid and techie. Meanwhile, we've moved to new engagement systems such as Facebook and Twitter in the consumer world. The rich usability and intuitive design reflect how users want to work — and now users are coming to expect the same paradigms and designs in their enterprise world. ~~~ Ray is a prolific contributor to his own blog as well as others. For a sneak peak at Ray's thoughts on engagement, take a look at this quick teaser on Avoiding Social Media Fatigue Through Engagement Or perhaps you might agree with Ray on Dealing With The Real Problem In Social Business Adoption – The People! Check out Ray's post on the Harvard Business Review Blog to get his perspective on "How to Engage Your Customers and Employees." For a daily dose of Ray - follow him on Twitter: @rwang0 But MOST IMPORTANTLY.... Don't miss the opportunity to join leading industry analyst, R "Ray" Wang of Constellation Research in the latest webcast of the Oracle Social Business Thought Leaders Series as he explains how to apply the 9 C's of Engagement for both your customers and employees.

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• TOTD #165: Eclipse Indigo, Java EE 6 and GlassFish

  - by arungupta

  46 millions lines of code committed by 408 developers from 49 organizations is the recipe for Indigo, the sixth release as part of the Eclipse annual release train. The key features of this release are: EGit 1.0 enabling Git support WindowBuilder, a GUI Builder Jubula for automated functional testing for Java and HTML EclipseLink 2.3 with support for multi-tenant JPA entities Equinox 3.7 with OSGi 4.3 specs Read the complete list of improvements here and download now! An updated version of the GlassFish plugin is also pushed to the update center and can be downloaded by clicking on "Additional Server Adapters" and selecting GlassFish as shown below: Couple of much needed improvements in the plugin are: Configurable "Preserve Sessions across Re-deploys" by double-clicking on the server properties: This property could only be configured during server registeration in earlier versions. Richer management of GlassFish from within the IDE such as viewing all the resources (JDBC, Connectors, and JavaMail) as shown below: The screencast #36 shows complete Java EE 6 development using GlassFish and the video is  embedded here for convenience: This blog has published multiple entries on Eclipse and here are some of them: Eclipse Con 2011 Hands-on Lab delivered: OSGi, JavaEE, GlassFish, Eclipse a powerful foursome Screencast #38: "Developing OSGi-enabled Java EE Applications using GlassFish" Tutorial at EclipseCon 2011 Screencast #36: Web App Development using Java EE 6, GlassFish, and Eclipse - Webinar Recording Screencast #31: Java EE 6 using GlassFish and Eclipse 3.6 - Oracle Enterprise Pack for Eclipse 11.1.1.6 is now available - 5 new screencasts TOTD #127: Embedding GlassFish in an existing OSGi runtime - Eclipse Equinox TOTD #126: Creating an OSGi bundles using Eclipse and deploying in GlassFish

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• TOTD #165: Eclipse Indigo, Java EE 6 and GlassFish

  - by arungupta

  46 millions lines of code committed by 408 developers from 49 organizations is the recipe for Indigo, the sixth release as part of the Eclipse annual release train. The key features of this release are: EGit 1.0 enabling Git support WindowBuilder, a GUI Builder Jubula for automated functional testing for Java and HTML EclipseLink 2.3 with support for multi-tenant JPA entities Equinox 3.7 with OSGi 4.3 specs Read the complete list of improvements here and download now! An updated version of the GlassFish plugin is also pushed to the update center and can be downloaded by clicking on "Additional Server Adapters" and selecting GlassFish as shown below: Couple of much needed improvements in the plugin are: Configurable "Preserve Sessions across Re-deploys" by double-clicking on the server properties: This property could only be configured during server registeration in earlier versions. Richer management of GlassFish from within the IDE such as viewing all the resources (JDBC, Connectors, and JavaMail) as shown below: The screencast #36 shows complete Java EE 6 development using GlassFish and the video is  embedded here for convenience: This blog has published multiple entries on Eclipse and here are some of them: Eclipse Con 2011 Hands-on Lab delivered: OSGi, JavaEE, GlassFish, Eclipse a powerful foursome Screencast #38: "Developing OSGi-enabled Java EE Applications using GlassFish" Tutorial at EclipseCon 2011 Screencast #36: Web App Development using Java EE 6, GlassFish, and Eclipse - Webinar Recording Screencast #31: Java EE 6 using GlassFish and Eclipse 3.6 - Oracle Enterprise Pack for Eclipse 11.1.1.6 is now available - 5 new screencasts TOTD #127: Embedding GlassFish in an existing OSGi runtime - Eclipse Equinox TOTD #126: Creating an OSGi bundles using Eclipse and deploying in GlassFish

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• Java Spotlight Episode 86: Tony Printezis on Garbage Collection First

  - by Roger Brinkley

  Interview with Tony Printezis on Garbage Collection First (GC1). Joining us this week on the Java All Star Developer Panel is Arun Gupta, Java EE Guy. Right-click or Control-click to download this MP3 file. You can also subscribe to the Java Spotlight Podcast Feed to get the latest podcast automatically. If you use iTunes you can open iTunes and subscribe with this link:  Java Spotlight Podcast in iTunes. Show Notes News JSR 358: A major revison of the Java Community Process - JCP 3.Next JAX-RS 2.0 Early Draft- Third Edition Events June 11-14, Cloud Computing Expo, New York City June 12, Boulder JUG June 13, Denver JUG June 13, Eclipse Juno DemoCamp, Redwoood Shore June 13, JUG Münster June 14, Java Klassentreffen, Vienna, Austria June 18-20, QCon, New York City June 19, CJUG, Chicago June 20, 1871, Chicago June 26-28, Jazoon, Zurich, Switzerland Jun 27, Houston JUG ?? July 5, Java Forum, Stuttgart, Germany Jul 13-14, IndicThreads, Delhi July 30-August 1, JVM Language Summit, Santa Clara Feature InterviewTony Printezis is a Principal Member of Technical Staff at Oracle, based in Burlington, MA. He has been contributing to the Java HotSpot Virtual Machine since 2006. He spends most of his time working on dynamic memory management for the Java platform, concentrating on performance, scalability, responsiveness, parallelism, and visualization of garbage collectors. He obtained a Ph.D. in 2000 and a BSc (Hons) in 1995, both from the University of Glasgow in Scotland. In addition, he is a JavaOne Rock Star, a title awarded for his highly rated JavaOne session on GC. Mail Bag What’s Cool JavaOne content selection is complete. Notifications done.

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