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  • [Closed] Oracle JDBC connection with Weblogic 10 datasource mapping, giving problem java.sql.SQLExce

    - by gauravkarnatak
    Oracle JDBC connection with Weblogic 10 datasource mapping, giving problem java.sql.SQLException: Closed Connection I am using weblogic 10 JNDI datasource to create JDBC connections, below is my config <?xml version="1.0" encoding="UTF-8"?> <jdbc-data-source xmlns="http://www.bea.com/ns/weblogic/90" xmlns:sec="http://www.bea.com/ns/weblogic/90/security" xmlns:wls="http://www.bea.com/ns/weblogic/90/security/wls" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.bea.com/ns/weblogic/920 http://www.bea.com/ns/weblogic/920.xsd"> <name>XL-Reference-DS</name> <jdbc-driver-params> <url>jdbc:oracle:oci:@abc.XL.COM</url> <driver-name>oracle.jdbc.driver.OracleDriver</driver-name> <properties> <property> <name>user</name> <value>DEV_260908</value> </property> <property> <name>password</name> <value>password</value> </property> <property> <name>dll</name> <value>ocijdbc10</value> </property> <property> <name>protocol</name> <value>oci</value> </property> <property> <name>oracle.jdbc.V8Compatible</name> <value>true</value> </property> <property> <name>baseDriverClass</name> <value>oracle.jdbc.driver.OracleDriver</value> </property> </properties> </jdbc-driver-params> <jdbc-connection-pool-params> <initial-capacity>1</initial-capacity> <max-capacity>100</max-capacity> <capacity-increment>1</capacity-increment> <test-connections-on-reserve>true</test-connections-on-reserve> <test-table-name>SQL SELECT 1 FROM DUAL</test-table-name> </jdbc-connection-pool-params> <jdbc-data-source-params> <jndi-name>ReferenceData</jndi-name> <global-transactions-protocol>OnePhaseCommit</global-transactions-protocol> </jdbc-data-source-params> </jdbc-data-source> When I run a bulk task where there are lots of connections made and closed, sometimes it gives connection closed exception for any of the task in the bulk task. Below is detailed exception' java.sql.SQLException: Closed Connection at oracle.jdbc.driver.DatabaseError.throwSqlException(DatabaseError.java:111) at oracle.jdbc.driver.DatabaseError.throwSqlException(DatabaseError.java:145) at oracle.jdbc.driver.DatabaseError.throwSqlException(DatabaseError.java:207) at oracle.jdbc.driver.OracleStatement.ensureOpen(OracleStatement.java:3512) at oracle.jdbc.driver.OraclePreparedStatement.executeInternal(OraclePreparedStatement.java:3265) at oracle.jdbc.driver.OraclePreparedStatement.executeUpdate(OraclePreparedStatement.java:3367) Any ideas?

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  • Migrate Spring JPA DAO unit testing to google app engine

    - by twingocerise
    I'm trying to put together a simple environment where I can get Spring, Maven, JPA, Google App Engine and DAO unit testing working happily all together. The goal is to be able to run a simple DAO unit test creating an entity and then load it again with a simple find to check it's been created properly - all of this from my maven build. My dao is making use of the JPA entity manager (query(), persist(), etc.) I've got it working no problem with hsqldb and a datasource, etc. but I'm struggling to get it working with appengine. My questions are: 1) I'm using an entity manager, injecting my persistence unit as followed. Is it OK? Is there any need for a datasource or something special? I thought not but correct me if I'm wrong. applicationContext.xml <bean id='entityManagerFactory' class='org.springframework.orm.jpa.LocalContainerEntityManagerFactoryBean'> <property name="persistenceUnitName" value="transactions-optional" /> </bean> Persistence.xml <persistence-unit name="transactions-optional"> <provider>org.datanucleus.store.appengine.jpa.DatastorePersistenceProvider</provider> <properties> <property name="datanucleus.NontransactionalRead" value="true"/> <property name="datanucleus.NontransactionalWrite" value="true"/> <property name="datanucleus.ConnectionURL" value="appengine"/> </properties> </persistence-unit> 2) what are the dependencies I need to add to my pom file to be able to run the unit test making use of the entityManager? What about versions ? I found loads of things about appengine-api-labs/stubs/testing but none them got it working i.e. I'm getting jdo dependency missing while I'm using JPA... I also get loads of conflicts when I try to add some jars (datanucleus and stuff). So far I'm trying appengine-api-1.0-sdk v1.7.0 - ASM-all v3.3 - datanucleus core/api-jpa/enhancer v3.1.0 - datanucleus-appengine v2.0.1.1 and all the gae testing jars v1.7.0 3) Is there anything I need to add to my surefire plugin (test runner) to make sure it picks up all the dependencies? I'm getting an exhausting ClassNotFound on DatastorePersistenceProvider while it is in my classpath (I checked the jars and the mvn dependency:tree) I had a look at this but it doesn't seem to be working at all: http://www.vertigrated.com/blog/2011/02/working-maven-3-google-app-engine-plugin-with-gwt-support/ 4) Do I need to use any sot of localhelper to test my DAOs? Ideally I'd want to test my dao layer "as is" with the entity manager... what's your opinion ? Has anyone managed to run a unit test using JPA on google app engine ? 5) Do I need to set up any sort of gae.home somewhere in my pom file? Would anyone make use of it (a plugin or something) ? 6) Is the gwt-maven plugin any helpful if I don't use gwt - I'm writing a simple webservice making use of appengine, not a GWT app... Any help would be much appreciated as I've been struggling for 2 days now... Cheers, V.

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  • Query a recordset

    - by Dion
    I'm trying to work out how to move the $sql_pay_det query outside of the $sql_pay loop (so in effect query on $rs_pay_det rather than creating a new $rs_pay_det for each iteration of the loop) At the moment my code looks like: //Get payroll transactions $sql_pay = 'SELECT Field1, DescriptionandURLlink, Field5, Amount, Field4, PeriodName FROM tblgltransactionspayroll WHERE CostCentreCode = "'.$cc.'" AND SubjectiveCode = "'.$subj.'" AND PeriodNo = "'.$month.'"'; $rs_pay = mysql_query($sql_pay); $row_pay = mysql_fetch_assoc($rs_pay); while($row_pay = mysql_fetch_array($rs_pay)) { $employee_name = $row_pay['Field1']; $assign_no = $row_pay['DescriptionandURLlink']; $pay_period = $row_pay['Field5']; $mth_name = $row_pay['PeriodName']; $amount = $row_pay['Amount']; $total_amount = $total_amount + $amount; $amount = my_number_format($amount, 2, ".", ","); $sql_pay_det = 'SELECT ElementDesc, Amount, WTEWorked, WTEPaid, WTEContract, Payscale FROM tblpayrolldetail WHERE CostCentreCode = "'.$cc.'" AND SubjectiveCode = "'.$subj.'" AND AccountingPeriod = "'.$mth_name.'" AND EmployeeRef = "'.$assign_no.'"'; $rs_pay_det = mysql_query($sql_pay_det); $row_pay_det = mysql_fetch_assoc($rs_pay_det); while($row_pay_det = mysql_fetch_array($rs_pay_det)) { $element_det = $row_pay_det['ElementDesc']; $amount_det = $row_pay_det['Amount']; $wte_worked = $row_pay_det['WTEWorked']; $wte_paid = $row_pay_det['WTEPaid']; $wte_cont = $row_pay_det['WTEContract']; $payscale = $row_pay_det['Payscale']; //Get band/point and annual salary where element is basic pay if ($element_det =="3959#Basic Pay"){ $sql_payscale = 'SELECT txtPayscaleName, Salary FROM tblpayscalemapping WHERE txtPayscale = "'.$payscale.'"'; $rs_payscale = mysql_query($sql_payscale); $row_payscale = mysql_fetch_assoc($rs_payscale); $grade = $row_payscale['txtPayscaleName']; $salary = "£" . my_number_format($row_payscale['Salary'], 0, ".", ","); } } } I've tried doing this: //Get payroll transactions $sql_pay = 'SELECT Field1, DescriptionandURLlink, Field5, Amount, Field4, PeriodName FROM tblgltransactionspayroll WHERE CostCentreCode = "'.$cc.'" AND SubjectiveCode = "'.$subj.'" AND PeriodNo = "'.$month.'"'; $rs_pay = mysql_query($sql_pay); $row_pay = mysql_fetch_assoc($rs_pay); //Get payroll detail recordset $sql_pay_det = 'SELECT ElementDesc, Amount, WTEWorked, WTEPaid, WTEContract, Payscale, EmployeeRef FROM tblpayrolldetail WHERE CostCentreCode = "'.$cc.'" AND SubjectiveCode = "'.$subj.'" AND AccountingPeriod = "'.$mth_name.'"'; $rs_pay_det = mysql_query($sql_pay_det); while($row_pay = mysql_fetch_array($rs_pay)) { $employee_name = $row_pay['Field1']; $assign_no = $row_pay['DescriptionandURLlink']; $pay_period = $row_pay['Field5']; $mth_name = $row_pay['PeriodName']; $amount = $row_pay['Amount']; $total_amount = $total_amount + $amount; $amount = my_number_format($amount, 2, ".", ","); //Query $rs_pay_det $sql_pay_det2 = 'SELECT ElementDesc, Amount, WTEWorked, WTEPaid, WTEContract, Payscale FROM "'.$rs_pay_det.'" WHERE EmployeeRef = "'.$assign_no.'"'; $rs_pay_det2 = mysql_query($sql_pay_det2); $row_pay_det2 = mysql_fetch_assoc($rs_pay_det2); while($row_pay_det = mysql_fetch_array($rs_pay_det)) { $element_det = $row_pay_det['ElementDesc']; $amount_det = $row_pay_det['Amount']; $wte_worked = $row_pay_det['WTEWorked']; $wte_paid = $row_pay_det['WTEPaid']; $wte_cont = $row_pay_det['WTEContract']; $payscale = $row_pay_det['Payscale']; //Get band/point and annual salary where element is basic pay if ($element_det =="3959#Basic Pay"){ $sql_payscale = 'SELECT txtPayscaleName, Salary FROM tblpayscalemapping WHERE txtPayscale = "'.$payscale.'"'; $rs_payscale = mysql_query($sql_payscale); $row_payscale = mysql_fetch_assoc($rs_payscale); $grade = $row_payscale['txtPayscaleName']; $salary = "£" . my_number_format($row_payscale['Salary'], 0, ".", ","); } } } But I get an error on $row_pay_det2 saying that "mysql_fetch_assoc(): supplied argument is not a valid MySQL result resource"

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  • Learning to implement DIC in MVC

    - by Tom
    I am learning to apply DIC to MVC project. So, I have sketched this DDD-ish DIC-ready-ish layout to my best understanding. I have read many blogs articles wikis for the last few days. However, I am not confident about implementing it correctly. Could you please demonstrate to me how to put them into DIC the proper way? I prefer Ninject or Windsor after all the readings, but anyDIC will do as long as I can get the correct idea how to do it. Web controller... public class AccountBriefingController { //create private IAccountServices accountServices { get; set; } public AccountBriefingController(IAccountServices accsrv) accountServices = accsrv; } //do work public ActionResult AccountBriefing(string userid, int days) { //get days of transaction records for this user BriefingViewModel model = AccountServices.GetBriefing(userid, days); return View(model); } } View model ... public class BriefingViewModel { //from user repository public string UserId { get; set; } public string AccountNumber {get; set;} public string FirstName { get; set; } public string LastName { get; set; } //from account repository public string Credits { get; set; } public List<string> Transactions { get; set; } } Service layer ... public interface IAccountServices { BriefingViewModel GetBriefing(); } public class AccountServices { //create private IUserRepository userRepo {get; set;} private IAccountRepository accRepo {get; set;} public AccountServices(UserRepository ur, AccountRepository ar) { userRepo = ur; accRepo = ar; } //do work public BriefingViewModel GetBriefing(string userid, int days) { var model = new BriefingViewModel(); //<---is that okay to new a model here?? var user = userRepo.GetUser(userid); if(user != null) { model.UserId = userid; model.AccountNumber = user.AccountNumber; model.FirstName = user.FirstName; model.LastName = user.LastName; //account records model.Credits = accRepo.GetUserCredits(userid); model.Transactions = accRepo.GetUserTransactions(userid, days); } return model; } } Domain layer and data models... public interface IUserRepository { UserDataModel GetUser(userid); } public interface IAccountRepository { List<string> GetUserTransactions(userid, days); int GetUserCredits(userid); } // Entity Framework DBContext goes under here Please point out if my implementation is wrong, e.g.I can feel in AccountServices-GetBriefing - new BriefingViewModel() seems wrong to me, but I don't know how to fit the stud into DIC? Thank you very much for your help!

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  • If I use a facade class with generic methods to access the JPA API, how should I provide additional processing for specific types?

    - by Shaun
    Let's say I'm making a fairly simple web application using JAVA EE specs (I've heard this is possible). In this app, I only have about 10 domain/data objects, and these are represented by JPA Entities. Architecturally, I would consider the JPA API to perform the role of a DAO. Of course, I don't want to use the EntityManager directly in my UI (JSF) and I need to manage transactions, so I delegate these tasks to the so-called service layer. More specifically, I would like to be able to handle these tasks in a single DataService class (often also called CrudService) with generic methods. See this article by Adam Bien for an example interface: http://www.adam-bien.com/roller/abien/entry/generic_crud_service_aka_dao My project differs from that article in that I can't use EJBs, so my service classes are essentially just named beans and I handle transactions manually. Regardless, what I want is a single interface for simple CRUD operations on my data objects because having a different class for each data type would lead to a lot of duplicate and/or unnecessary code. Ideally, my views would be able to use a method such as public <T> List<T> findAll(Class<T> type) { ... } to retrieve data. Using JSF, it might look something like this: <h:dataTable value="#{dataService.findAll(data.class)}" var="d"> ... </h:dataTable> Similarly, after validating forms, my controller could submit the data with a method such as: public <T> void add(T entity) { ... } Granted, you'd probably actually want to return something useful to the caller. In any case, this works well if your data can be treated as homogenous in this manner. Alas, it breaks down when you need to perform additional processing on certain objects before passing them on to JPA. For example, let's say I'm dealing with Books and Authors which have a many-to-many relationship. Each Book has a set of IDs referring to its authors, and each Author has a set of IDs referring to their books. Normally, JPA can manage this kind of relationship for you, but in some cases it can't (for example, the google app engine JPA provider doesn't support this). Thus, when I persist a new book for example, I may need to update the corresponding author entities. My question, then, is if there's an elegant way to handle this or if I should reconsider the sanity of my whole design. Here's a couple ways I see of dealing with it: The instanceof operator. I could use this to target certain classes when special processing is needed. Perhaps maintainability suffers and it isn't beautiful code, but if there's only 10 or so domain objects it can't be all that bad... could it? Make a different service for each entity type (ie, BookService and AuthorService). All services would inherit from a generic DataService base class and override methods if special processing is needed. At this point, you could probably also just call them DAOs instead. As always, I appreciate the help. Let me know if any clarifications are needed, as I left out many smaller details.

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  • Sun Oracle Database Machine a román Banca Transilvaniánál

    - by Fekete Zoltán
    Oracle sajtóhír: Banca Transilvania, first institution in Romania to use Sun Oracle Database Machine (English version) Sikersztori, ügyféltörténet pdf-ben. Az Database Machine V2 megjelenését 2009 szeptemberben jelentette az Oracle. A világon az elso bank, ahol már élesben muködik a Database Machine V2, a romániai Banca Transilvania! Olvassa el a sajtóhírt. A Banca Transilvania 1,5 milló ügyféllel rendelkezik. "This system, product of Oracle and Sun, is the fastest server in the world for data storage, online transactions processing and data warehousing applications." Robert C. Rekkers, Banca Transilvania CEO, ezt nyilatkozta:"Business information is accessed 30 times faster using the new system, leading to quicker decisions and a better data base segmentation", azaz a Database Machine segítségével az üzleti kérséseket 30-szor gyorsabban tudják megválaszolni, mint a korábbi rendszerrel. Leontin Toderici, Banca Transilvania COO mondta a következot: "The acquisition price was excellent, as the costs were below those of an ordinary system", azaz a rendszer ára kiváló volt, kisebb volt a kötsége, mint a hagyományos rendszereké. Sorin Mindrutescu, az Oracle Romania vezetoje büszke arra, hogy egy romániai cég is az innovatív rendszer felhasználói között lehet.: "Oracle Exadata V2 is the result of over 30 years of experience in hardware and software development of two leader companies. I am glad that a top Romanian company is amongst the first in the world to use this innovative product." Az Exadata termékcsalád és a Database Machine kiváló eszköz OLTP rendszerek, adattárházak, konszolidációs megoldások adatbázisainak futtatására. Egy csomagban a tartalmazza a szoftvert és az "okos" hardvert, az adatfeldoldozó, a tároló (storage) komponenseket, mindezt az extrém gyors Infiniband kapcsolatokkal összekötve. A Banca Transilvani az Oracle readingi (Nagy-Britannia) központjában tesztelte a Database Machine rendszert, s a korábbi rendszernél tízszer, néhol hetvenkettoször gyorsabb teljesítményt kaptak, 10-72-szeres teljesítménynövekedés!, említette Tudor Iliescu, Trend Import - Export CEO. A központi Oracle sajtóhír: Customers Select Oracle® Exadata for Extreme Performance of Data Warehouse and OLTP Applications

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  • SQL SERVER – Difference Between ROLLBACK IMMEDIATE and WITH NO_WAIT during ALTER DATABASE

    - by pinaldave
    Today, we are going to discuss about something very simple, but quite commonly confused two options of ALTER DATABASE. The first one is ALTER DATABASE …ROLLBACK IMMEDIATE and the second one is WITH NO_WAIT. Many people think they are the same or are not sure of the difference between these two options. Before we continue our explaination, let us go through the explanation given by Book On Line. ROLLBACK AFTER integer [SECONDS] | ROLLBACK IMMEDIATE Specifies whether to roll back after a specified number of seconds or immediately. NO_WAIT Specifies that if the requested database state or option change cannot complete immediately without waiting for transactions to commit or roll back on their own, then the request will fail. If you have understood the difference by now, there is no need to proceed further. If you are still confused, continue with the rest of the post. There is one big difference between ROLLBACK and NO_WAIT. In case incomplete Transaction ALTER DATABASE … ROLLBACK rollbacks those incomplete transaction immediately, where as ALTER DATABASE … NO_WAIT will terminate and rollback the transaction of ALTER DATABASE … NO_WAIT itself. I think it can be clearly explained with the help of the following images. Option 1: ALTER DATABASE … ROLLBACK Connection 1 – Simulating some operation using WAITFOR DELAY WAITFOR DELAY '1:00:00' Connection 2 ALTER DATABASE TestDb SET SINGLE_USER WITH ROLLBACK IMMEDIATE; Option 2: ALTER DATABASE … NO_WAIT Connection 1 – Simulating some operation using WAITFOR DELAY WAITFOR DELAY '1:00:00' Connection 2 ALTER DATABASE TestDb SET SINGLE_USER WITH NO_WAIT; Let me know if this example was simple enough. Reference : Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, SQL, SQL Authority, SQL Documentation, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • SQLAuthority News – Happy Deepavali and Happy News Year

    - by pinaldave
    Diwali or Deepavali is popularly known as the festival of lights. It literally means “array of light” or “row of lamps“. Today we build a small clay maps and fill it with oil and light it up. The significance of lighting the lamp is the triumph of good over evil. I work every single day in a year but today I am spending my time with family and little one. I make sure that my daughter is aware of our culture and she learns to celebrate the festival with the same passion and values which I have. Every year on this day, I do not write a long blog post but rather write a small post with various SQL Tips and Tricks. After reading them you should quickly get back to your friends and family – it is the most important festival day. Here are a few tips and tricks: Take regular full backup of your database Avoid cursors if they can be replaced by set based process Keep your index maintenance script handy and execute them at intervals Consider Solid State Drive (SDD) for crucial database and tempdb placement Update statistics for OLTP transactions at intervals I guess that’s it for today. If you still have more time to learn. Here are few things you should consider. Get FREE Books by Sign up for tomorrow’s webcast by Rick Morelan Watch SQL in Sixty Seconds Series – FREE SQL Learning Read my earlier 2300+ articles Well, I am sure that will keep you busy for the rest of the day! Happy Diwali to All of You! Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: About Me, Pinal Dave, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQLAuthority News, T SQL, Technology

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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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  • Bump the Bill

    - by David Dorf
    I'm writing this from 3,400 feet in the air somewhere between Chicago and Austin. GoGo In-flight strikes again. Is there anywhere I can't get a WiFi connection? While listening to Deacon Blues by Steely Dan and skimming the news, I just came across an interesting article on mobile payments. Remember when I wrote about the iPhone Bump application and its possible use in retail? Well it looks like PayPal updated their mobile payments application to include the bump technology. Now its possible to transfer money between individuals by bumping iPhones. According to the WSJ, Paypal did 24 million transactions in 2008 and 140 million in 2009 on mobile phones. As the technology gets easier to use, that number is bound to increase. Alternatives to Paypal include Google Checkout, Amazon Payments, wireless carriers ("put it on my phone bill"), smart cards (using your phone's SIM card), and iTunes. That last one comes courtesy of a story Joe Skorupa wrote on mobile payments. It looks like Apple allows iPhone apps to take micro-payments via iTunes accounts, so there may come a time when its possible to use your iPhone to make a purchase in a retail store and have your credit card charged via your iTunes account. There are still some improvements in usability to be made before using a phone will be easier than swiping a credit card, but its already better than fussing with cash.

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  • Ground Control by David Baum

    - by JuergenKress
    As cloud computing moves out of the early-adopter phase, organizations are carefully evaluating how to get to the cloud. They are examining standard methods for developing, integrating, deploying, and scaling their cloud applications, and after weighing their choices, they are choosing to develop and deploy cloud applications based on Oracle Cloud Application Foundation, part of Oracle Fusion Middleware. Oracle WebLogic Server is the flagship software product of Oracle Cloud Application Foundation. Oracle WebLogic Server is optimized to run on Oracle Exalogic Elastic Cloud, the integrated hardware and software platform for the Oracle Cloud Application Foundation family. Many companies, including Reliance Commercial Finance, are adopting this middleware infrastructure to enable private cloud computing and its convenient, on-demand access to a shared pool of configurable computing resources. “Cloud computing has become an extremely critical design factor for us,” says Shashi Kumar Ravulapaty, senior vice president and chief technology officer at Reliance Commercial Finance. “It’s one of our main focus areas. Oracle Exalogic, especially in combination with Oracle WebLogic, is a perfect fit for rapidly provisioning capacity in a private cloud infrastructure.” Reliance Commercial Finance provides loans to tens of thousands of customers throughout India. With more than 1,500 employees accessing the company’s core business applications every day, the company was having trouble processing more than 6,000 daily transactions with its legacy infrastructure, especially at the end of each month when hundreds of concurrent users need to access the company’s loan processing and approval applications. Read the complete article here. WebLogic Partner Community For regular information become a member in the WebLogic Partner Community please visit: http://www.oracle.com/partners/goto/wls-emea ( OPN account required). If you need support with your account please contact the Oracle Partner Business Center. Blog Twitter LinkedIn Mix Forum Wiki Technorati Tags: WebLogic,WebLogic Community,Oracle,OPN,Jürgen Kress

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  • CodePlex Daily Summary for Wednesday, May 05, 2010

    CodePlex Daily Summary for Wednesday, May 05, 2010New Projects2010微软精英大挑战Heritage of Dragon项目: 我们来自上海市同济大学,兴趣相投,集聚于此共同构建一个开放的网络平台。致力于运用构建在云端基于地图的服务,使用文字、图片、视频、互动动画等形式来展示全国各地的传统手工艺。并且充分发挥网络的优势,通过开放协作的维基平台人人都可以参与到内容的添加修改与完善中来。目的在于记录、展示、挖掘、传承中国古...AutoArchive: Auto archive your "my documents" to a remote machine. I'm writing this so my wife can put things in "my documents" and it'll automaticly archive i...BigDoor .NET Client: A .NET client for the BigDoor Media API. The API enables secured virtual transactions with support for any number of currencies, transactions, awar...bubujie: Dreamweaver LibraryGeckoGit: GeckoGit is a combination of TortoiseSVN and AnkhSVN, but for Git repositories, and built on the GitSharp library.Global: global, config, mail, http, rest, xml, serialization, helper, path, ioIndustrial Dashboard Connected Grid webpart: This Sharepoint 2007/10 webpart provides a simple way to display grid based reports populated with data that comes from a SQL Server stored procedu...IpControls: "IpControls" contains IPv4 and IPv6 text boxes, both as Windows Forms and WPF version. The IPv6 control automatically detects the older hybrid for...LiteME: LiteME is short for LiteMapleStoryEmulator... it is v75, open-source, and still going through it's alpha stages. It is still in development!Meditel PHP Class: Une classe PHP qui vous permet de d'envoyer des SMS vers tous les numeros Meditel en utilisant leservice des SMS gratuits depuis le site Meditel.maMoneySafe: Help people.Mouse Zoom - Visual Studio Extension: Mouse Zoom is a Visual Studio 2010 extension that will cause the mouse zoom functionality to zoom at the mouse's cursor instead of at the top of th...Multi-Language Words Memorizer: This .net application is designed for learning words and help foreign language learners by lots of automatic features. After you select a list of ...Navigation for ASP.NET Web Forms: Navigation for ASP.NET Web Forms manages movement and data passing between aspx Pages in a unit testable manner. There is no Client-side logic, so ...NazTek.Extension.Clr4: CLR 4.0 extensions and utility APIOpalis Community Releases: Sample workflows, objects, code and other items related to System Center's Opalis Integration Server, published by the Opalis team.Power Video Player: Power Video Player is a slim feature-rich video/dvd player that meets everyday needs in video playback on PC with a bunch of advanced features on b...SchemeEditor: <WPF> <.NET> <Editor> <Silverlight> <Scheme> <Graphics> <simulink> <schematic>StyleCop+: StyleCop+ is a plug-in that extends original StyleCop features.timemanager2010: Just another work time managerTweetTunes: Updates Twitter with current song playing in iTunes - if your Twitter account is linked to Facebook - it will update that too The twittervb2 down...WCF Discovery Library: WCF Discovery Library is a small collection of utilities that makes it easy to add WCF 4.0 Discovery features into your projects.New ReleasesAjaxControlToolkit additional extenders: ControlToolkitExtended: this build contains web example with BreadCrumbsAnyCAD: AnyCAD Free Beta1: AnyCAD Free Beta1Baccarat: Single player practice baccarat: This is a simple baccarat game for Windows Mobile. It is single player and is only a practice version, which will help users familiarize themselve...BigDoor .NET Client: BigDoor .NET 2.0 Client (Alpha): Our first iteration of the .NET client. Please fork and or ask to be added if you want to make any contributions.CBM-Command: 2010-05-04: Release NotesNew Features Panel navigation now complete. Scroll up and down through directories using the up and down cursor keys. Switch between...Directory Linker: Directory Linker 2.1: This release introduces XP support, more information about all features can be found at http://www.humblecoder.co.uk/?p=141Extend SmallBasic: Teaching Extensions v.015: added high low quizGoogle AJAX Search Services for jQuery: jquery.gss-0.1.3.js: First official release - use at your own discretion. Thanks, AndrewIndustrial Dashboard Connected Grid webpart: Filtered Industrial Grid: Filtered Industrial Grid web part for SharePoint 2007/2010, First Release.jQuery Library for SharePoint Web Services: SPServices 0.5.5: IMPORTANT NOTE: This release is in an alpha state. You should only download it if you know what you are getting and are interested in testing it f...Meditel PHP Class: Meditel PHP Class: Zipped File : Example : exemplemeditel.php PHP Class : meditel.class.phpMulti-Language Words Memorizer: Memorizer 1.0: First release.mwNSPECT: mwNSPECT Plugin DLL: mwNSPECT Mapwindow plugin dll. Place in your MapWindow or BASINS plugins directory. Presently only for testing form functionality (not including...mwNSPECT: mwNSPECT Simple Installer: Simplistic mwNSPECT Mapwindow plugin installer using Inno setup. Installs all the files you'll need for NSPECT into the C:\NSPECT folder and insta...MyWSAT - ASP.NET Membership Administration Tool: MyWSAT v3.5.3: MyWSAT 3.5.3 Update Notes - May 4th 2010 1.) Added the user search box and a-z navigation menu to all relevant user gridviews. 2.) Added a membersh...Object/Relational Mapper & Code Generator in Net 2.0 for Relational & XML Schema: 2.7: Upgraded UI-generation templates for special case of associative tables (2-column primary keys). Minor bugfix with template-editor.Open NFSe: Open NFSe 2.0: Versao para Belo Horizonte utilizando Windows Services.Power Video Player: PVP 1.1.3776: v1.1.3776 This is mainly a rebuild of version 1.1 under Ms-PL license and is the 1st version available at CodePlex.PROGRAMMABLE SOFTWARE DEVELOPMENT ENVIRONMENT: PROGRAMMABLE SOFTWARE DEVELOPMENT ENVIRONMENT-3.1: The following error has been corrected: PCG ERROR: srcproj -- 3933 PCG ERROR: srcproj -- 2943 PCG ERROR: devproj -- 1474 PCG ERROR: mainprj -- 128...Rehost Image: 1.3.9: Fixed locations saving for mac and linux platforms.Robot Shootans: Robot Shootans 0.5.1 (Windows): This is the first public release of this game. Instructions on how to play are included in the game itself Known issues: Changing control style wh...SchemeEditor: SchemeEditor Beta: First release. Wait for documentation & update for some new functionSharePoint Rsync List: SharePoint Rsync 0.9.0.0: Initial release of sprsync. Comments, questions, feedback, and code enhancements are welcome!Software Is Hardwork: Sw. Is Hw. Lib. 3.0.0.x+01: Sw. Is Hw. Lib. 3.0.0.x+01 UNSUPPORTED, UNTESTED ALPHA RELEASE Code may disappear. This is just a preview of code that was in progress. Code is s...Software Localization Tool: SharpSLT 1.0.1: Minor release: bug fixes slight changes in the UIStyleCop+: StyleCop+ 0.6: Several important improvements made for Advanced Naming Rules: - Added new entities for fields and constants - Added new entities for methods (incl...turing machine simulator: First version of turing machine: Overview: First version of turing simulator with example script (transaction function). Files: SimulatorGui.exe - main GUI of simulator TuringMach...VCC: Latest build, v2.1.30504.0: Automatic drop of latest buildVocabulary Training Center: Basic Edition 1.1: A release with medium large changes: New functionality: Multiple-choice questions added Grammatical questions added Evaluation changed accordin...Web Service Software Factory: Web Service Software Factory 2010 RC: To use the Web Service Software Factory 2010, you need the following software installed on your computer: • Microsoft Visual Studio 2010 (Ultima...Web Service Software Factory: WSSF2010 Guide: This is the help and guidance for Web Service Software Factory 2010Windows Phone 7 Panorama control: panorama control v0.6 + samples: IMPORTANT NOTE: Please read the following bug + suggested workaround. I'll fix this in a new release shortly. Panorama Control source code + sampl...WPF Behavior Library: WPF Behavior Library 0.2 Release: Drag & Drop Took away the ItemType and DataTemplate requirements Added functions for inheritors to be able to provide custom logic to handle movi...Most Popular ProjectsRawrWBFS ManagerAJAX Control ToolkitMicrosoft SQL Server Product Samples: DatabaseSilverlight Toolkitpatterns & practices – Enterprise LibraryWindows Presentation Foundation (WPF)iTuner - The iTunes CompanionDotNetNuke® Community EditionASP.NETMost Active Projectspatterns & practices – Enterprise LibraryAJAX Control FrameworkHydroServer - CUAHSI Hydrologic Information System ServerIonics Isapi Rewrite Filterpatterns & practices: Azure Security GuidanceRawrBlogEngine.NETTinyProjectNB_Store - Free DotNetNuke Ecommerce Catalog ModuleAll-In-One Code Framework

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  • JMS Adapter Step 0 : Configuring the WLS-JMS resources

    - by [email protected]
    Before getting started with the JMS Adapter, we must configure the connection factories/JMS queues on the WLS admin console. In particular, we will be required to follow these stepsCreate a connection factory. In our case, we will create a "XA Connection Factory". This step is mandatory if you need your JMS queues to participate in a global transaction. Create the WLS JMS QueuesCreating the connection factory:1) Login to the WLS Admin console. On my setup, the url looks like "http://localhost:7001/console".2) Select Services -> Messaging -> JMS Modules -> SOAJMSModule as shown below. We can also create a new JMS Module, but, I took the easier way out by selecting the SOAJMSModule. 3) Click on "New" as shown in order to create the Connection factory.4) Select "Connection Factory" radio button and click "Next".5) Enter the Connection Factory properties as shown and click on "Finish".6) Target the connection factory to your managed server and click on "Finish". 7) Now, go back and select the Connection Factory that you've just created (see Step 2 above) . Click on "Transactions" and enable XA and click on "Save".

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  • Book Review - Programming Windows Azure by Siriram Krishnan

    - by BuckWoody
    As part of my professional development, I’ve created a list of books to read throughout the year, starting in June of 2011. This a review of the first one, called Programming Windows Azure by Siriram Krishnan. You can find my entire list of books I’m reading for my career here: http://blogs.msdn.com/b/buckwoody/archive/2011/06/07/head-in-the-clouds-eyes-on-the-books.aspx  Why I Chose This Book: As part of my learning style, I try to read multiple books about a single subject. I’ve found that at least 3 books are necessary to get the right amount of information to me. This is a “technical” work, meaning that it deals with technology and not business, writing or other facets of my career. I’ll have a mix of all of those as I read along. I chose this work in addition to others I’ve read since it covers everything from an introduction to more advanced topics in a single book. It also has some practical examples of actually working with the product, particularly on storage. Although it’s dated, many examples normally translate. I also saw that it had pretty good reviews. What I learned: I learned a great deal about storage, and many useful code snippets. I do think that there could have been more of a focus on the application fabric - but of course that wasn’t as mature a feature when this book was written. I learned some great architecture examples, and in one section I learned more about encryption. In that example, however, I would rather have seen the examples go the other way - the book focused on moving data from on-premise to Azure storage in an encrypted fashion. Using the Application Fabric I would rather see sensitive data left in a hybrid fashion on premise, and connect to for the Azure application. Even so, the examples were very useful. If you’re looking for a good “starter” Azure book, this is a good choice. I also recommend the last chapter as a quick read for a DBA, or Database Administrator. It’s not very long, but useful. Note that the limits described are incorrect - which is one of the dangers of reading a book about any cloud offering. The services offered are updated so quickly that the information is in constant danger of being “stale”. Even so, I found this a useful book, which I believe will help me work with Azure better. Raw Notes: I take notes as I read, calling that process “reading with a pencil”. I find that when I do that I pay attention better, and record some things that I need to know later. I’ll take these notes, categorize them into a OneNote notebook that I synchronize in my Live.com account, and that way I can search them from anywhere. I can even read them on the web, since the Live.com has a OneNote program built in. Note that these are the raw notes, so they might not make a lot of sense out of context - I include them here so you can watch my though process. Programming Windows Azure by Siriram Krishnan: Learning about how to select applications suitable for Distributed Technology. Application Fabric gets the least attention; probably because it was newer at the time. Very clear (Chapter One) Good foundation Background and history, but not too much I normally arrange my descriptions differently, starting with the use-cases and moving to physicality, but this difference helps me. Interesting that I am reading this using Safari Books Online, which uses many of these concepts. Taught me some new aspects of a Hypervisor – very low-level information about the Azure Fabric (not to be confused with the Application Fabric feature) (Chapter Two) Good detail of what is included in the SDK. Even more is available now. CS = Cloud Service (Chapter 3) Place Storage info in the configuration file, since it can be streamed in-line with a running app. Ditto for logging, and keep separated configs for staging and testing. Easy-switch in and switch out.  (Chapter 4) There are two Runtime API’s, one of external and one for internal. Realizing how powerful this paradigm really is. Some places seem light, and to drop off but perhaps that’s best. Managing API is not charged, which is nice. I don’t often think about the price, until it comes to an actual deployment (Chapter 5) Csmanage is something I want to dig into deeper. API requires package moves to Blob storage first, so it needs a URL. Csmanage equivalent can be written in Unix scripting using openssl. Upgrades are possible, and you use the upgradeDomainCount attribute in the Service-Definition.csdef file  Always use a low-privileged account to test on the dev fabric, since Windows Azure runs in partial trust. Full trust is available, but can be dangerous and must be well-thought out. (Chapter 6) Learned how to run full CMD commands in a web window – not that you would ever do that, but it was an interesting view into those links. This leads to a discussion on hosting other runtimes (such as Java or PHP) in Windows Azure. I got an expanded view on this process, although this is where the book shows its age a little. Books can be a problem for Cloud Computing for this reason – things just change too quickly. Windows Azure storage is not eventually consistent – it is instantly consistent with multi-phase commit. Plumbing for this is internal, not required to code that. (Chapter 7) REST API makes the service interoperable, hybrid, and consistent across code architectures. Nicely done. Use affinity groups to keep data and code together. Side note: e-book readers need a common “notes” feature. There’s a decent quick description of REST in this chapter. Learned about CloudDrive code – PowerShell sample that mounts Blob storage as a local provider. Works against Dev fabric by default, can be switched to Account. Good treatment in the storage chapters on the differences between using Dev storage and Azure storage. These can be mitigated. No, blobs are not of any size or number. Not a good statement (Chapter 8) Blob storage is probably Azure’s closest play to Infrastructure as a Service (Iaas). Blob change operations must be authenticated, even when public. Chapters on storage are pretty in-depth. Queue Messages are base-64 encoded (Chapter 9) The visibility timeout ensures processing of message in a disconnected system. Order is not guaranteed for a message, so if you need that set an increasing number in the queue mechanism. While Queues are accessible via REST, they are not public and are secured by default. Interesting – the header for a queue request includes an estimated count. This can be useful to create more worker roles in a dynamic system. Each Entity (row) in the Azure Table service is atomic – all or nothing. (Chapter 10) An entity can have up to 255 Properties  Use “ID” for the class to indicate the key value, or use the [DataServiceKey] Attribute.  LINQ makes working with the Azure Table Service much easier, although Interop is certainly possible. Good description on the process of selecting the Partition and Row Key.  When checking for continuation tokens for pagination, include logic that falls out of the check in case you are at the last page.  On deleting a storage object, it is instantly unavailable, however a background process is dispatched to perform the physical deletion. So if you want to re-create a storage object with the same name, add retry logic into the code. Interesting approach to deleting an index entity without having to read it first – create a local entity with the same keys and apply it to the Azure system regardless of change-state.  Although the “Indexes” description is a little vague, it’s interesting to see a Folding and Stemming discussion a-la the Porter Stemming Algorithm. (Chapter 11)  Presents a better discussion of indexes (at least inverted indexes) later in the chapter. Great treatment for DBA’s in Chapter 11. We need to work on getting secondary indexes in Table storage. There is a limited form of transactions called “Entity Group Transactions” that, although they have conditions, makes a transactional system more possible. Concurrency also becomes an issue, but is handled well if you’re using Data Services in .NET. It watches the Etag and allows you to take action appropriately. I do not recommend using Azure as a location for secure backups. In fact, I would rather have seen the examples in (Chapter 12) go the other way, showing how data could be brought back to a local store as a DR or HA strategy. Good information on cryptography and so on even so. Chapter seems out of place, and should be combined with the Blob chapter.  (Chapter 13) on SQL Azure is dated, although the base concepts are OK.  Nice example of simple ADO.NET access to a SQL Azure (or any SQL Server Really) database.  

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  • UPK Professional Customer Success Story: Medtronic

    - by [email protected]
    In case you missed the live event, be sure to listen to last week's UPK Customer iSeminar featuring Medtronic. This was the first iSeminar in our quarterly series to showcase UPK Professional (UPK and Knowledge Pathways). Donna Miller and Staci Gilbert gave viewers an inside look at samples of Medtronic's content as they shared their experiences, methodology and best practices for use of the solution. Here are some highlights of the call: • Medtronic initially purchased UPK Professional to support a multi-year, global SAP rollout for 9,000 end users located in 24 countries. • As time went on, they expanded their use of UPK Professional to include several of their other enterprise applications: PeopleSoft, Siebel CRM, Hyperion Financial Management, a number of SAP bolt-ons, Documentum, TrackWise, and many others. • In combination with their Saba LMS, UPK Professional has allowed Medtronic to create, deploy, track and certify consistent end user training for critical transactions and processes across their organization worldwide - essential for a company in a heavily regulated industry. • For key pieces of content or certain end user populations, some Medtronic business units localize/translate the global UPK content. Staci demonstrated examples of their SAP content which has been translated into Japanese. • In the live SAP environment, end users rely on UPK's context sensitive in-application performance support. Medtronic has found this to be very helpful post go-live, giving just-in-time support so end users are confident in a new system or when performing tasks they don't often touch (at quarter or year end). UPK also serves as Medtronic's internal Google. • Medtronic has realized savings on many fronts: reduction in support calls due to in-application performance support, elimination of their training clients, and speedier training (1.5 days rather than 5-7 days) of temporary workers by moving from ILT to a blended solution that includes UPK simulations for eLearning. Thanks again to Donna and Staci for an exceptional presentation. They offered so many great examples for anyone who's looking for ways to get more out of UPK or interested in learning about UPK Professional: Knowledge Pathways. - Karen Rihs, Oracle UPK Outbound Product Management

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  • Using Table-Valued Parameters With SQL Server Reporting Services

    - by Jesse
    In my last post I talked about using table-valued parameters to pass a list of integer values to a stored procedure without resorting to using comma-delimited strings and parsing out each value into a TABLE variable. In this post I’ll extend the “Customer Transaction Summary” report example to see how we might leverage this same stored procedure from within an SQL Server Reporting Services (SSRS) report. I’ve worked with SSRS off and on for the past several years and have generally found it to be a very useful tool for building nice-looking reports for end users quickly and easily. That said, I’ve been frustrated by SSRS from time to time when seemingly simple things are difficult to accomplish or simply not supported at all. I thought that using table-valued parameters from within a SSRS report would be simple, but unfortunately I was wrong. Customer Transaction Summary Example Let’s take the “Customer Transaction Summary” report example from the last post and try to plug that same stored procedure into an SSRS report. Our report will have three parameters: Start Date – beginning of the date range for which the report will summarize customer transactions End Date – end of the date range for which the report will summarize customer transactions Customer Ids – One or more customer Ids representing the customers that will be included in the report The simplest way to get started with this report will be to create a new dataset and point it at our Customer Transaction Summary report stored procedure (note that I’m using SSRS 2012 in the screenshots below, but there should be little to no difference with SSRS 2008): When you initially create this dataset the SSRS designer will try to invoke the stored procedure to determine what the parameters and output fields are for you automatically. As part of this process the following dialog pops-up: Obviously I can’t use this dialog to specify a value for the ‘@customerIds’ parameter since it is of the IntegerListTableType user-defined type that we created in the last post. Unfortunately this really throws the SSRS designer for a loop, and regardless of what combination of Data Type, Pass Null Value, or Parameter Value I used here, I kept getting this error dialog with the message, "Operand type clash: nvarchar is incompatible with IntegerListTableType". This error message makes some sense considering that the nvarchar type is indeed incompatible with the IntegerListTableType, but there’s little clue given as to how to remedy the situation. I don’t know for sure, but I think that behind-the-scenes the SSRS designer is trying to give the @customerIds parameter an nvarchar-typed SqlParameter which is causing the issue. When I first saw this error I figured that this might just be a limitation of the dataset designer and that I’d be able to work around the issue by manually defining the parameters. I know that there are some special steps that need to be taken when invoking a stored procedure with a table-valued parameter from ADO .NET, so I figured that I might be able to use some custom code embedded in the report  to create a SqlParameter instance with the needed properties and value to make this work, but the “Operand type clash" error message persisted. The Text Query Approach Just because we’re using a stored procedure to create the dataset for this report doesn’t mean that we can’t use the ‘Text’ Query Type option and construct an EXEC statement that will invoke the stored procedure. In order for this to work properly the EXEC statement will also need to declare and populate an IntegerListTableType variable to pass into the stored procedure. Before I go any further I want to make one point clear: this is a really ugly hack and it makes me cringe to do it. Simply put, I strongly feel that it should not be this difficult to use a table-valued parameter with SSRS. With that said, let’s take a look at what we’ll have to do to make this work. Manually Define Parameters First, we’ll need to manually define the parameters for report by right-clicking on the ‘Parameters’ folder in the ‘Report Data’ window. We’ll need to define the ‘@startDate’ and ‘@endDate’ as simple date parameters. We’ll also create a parameter called ‘@customerIds’ that will be a mutli-valued Integer parameter: In the ‘Available Values’ tab we’ll point this parameter at a simple dataset that just returns the CustomerId and CustomerName of each row in the Customers table of the database or manually define a handful of Customer Id values to make available when the report runs. Once we have these parameters properly defined we can take another crack at creating the dataset that will invoke the ‘rpt_CustomerTransactionSummary’ stored procedure. This time we’ll choose the ‘Text’ query type option and put the following into the ‘Query’ text area: 1: exec('declare @customerIdList IntegerListTableType ' + @customerIdInserts + 2: ' EXEC rpt_CustomerTransactionSummary 3: @startDate=''' + @startDate + ''', 4: @endDate='''+ @endDate + ''', 5: @customerIds=@customerIdList')   By using the ‘Text’ query type we can enter any arbitrary SQL that we we want to and then use parameters and string concatenation to inject pieces of that query at run time. It can be a bit tricky to parse this out at first glance, but from the SSRS designer’s point of view this query defines three parameters: @customerIdInserts – This will be a Text parameter that we use to define INSERT statements that will populate the @customerIdList variable that is being declared in the SQL. This parameter won’t actually ever get passed into the stored procedure. I’ll go into how this will work in a bit. @startDate – This is a simple date parameter that will get passed through directly into the @startDate parameter of the stored procedure on line 3. @endDate – This is another simple data parameter that will get passed through into the @endDate parameter of the stored procedure on line 4. At this point the dataset designer will be able to correctly parse the query and should even be able to detect the fields that the stored procedure will return without needing to specify any values for query when prompted to. Once the dataset has been correctly defined we’ll have a @customerIdInserts parameter listed in the ‘Parameters’ tab of the dataset designer. We need to define an expression for this parameter that will take the values selected by the user for the ‘@customerIds’ parameter that we defined earlier and convert them into INSERT statements that will populate the @customerIdList variable that we defined in our Text query. In order to do this we’ll need to add some custom code to our report using the ‘Report Properties’ dialog: Any custom code defined in the Report Properties dialog gets embedded into the .rdl of the report itself and (unfortunately) must be written in VB .NET. Note that you can also add references to custom .NET assemblies (which could be written in any language), but that’s outside the scope of this post so we’ll stick with the “quick and dirty” VB .NET approach for now. Here’s the VB .NET code (note that any embedded code that you add here must be defined in a static/shared function, though you can define as many functions as you want): 1: Public Shared Function BuildIntegerListInserts(ByVal variableName As String, ByVal paramValues As Object()) As String 2: Dim insertStatements As New System.Text.StringBuilder() 3: For Each paramValue As Object In paramValues 4: insertStatements.AppendLine(String.Format("INSERT {0} VALUES ({1})", variableName, paramValue)) 5: Next 6: Return insertStatements.ToString() 7: End Function   This method takes a variable name and an array of objects. We use an array of objects here because that is how SSRS will pass us the values that were selected by the user at run-time. The method uses a StringBuilder to construct INSERT statements that will insert each value from the object array into the provided variable name. Once this method has been defined in the custom code for the report we can go back into the dataset designer’s Parameters tab and update the expression for the ‘@customerIdInserts’ parameter by clicking on the button with the “function” symbol that appears to the right of the parameter value. We’ll set the expression to: 1: =Code.BuildIntegerListInserts("@customerIdList ", Parameters!customerIds.Value)   In order to invoke our custom code method we simply need to invoke “Code.<method name>” and pass in any needed parameters. The first parameter needs to match the name of the IntegerListTableType variable that we used in the EXEC statement of our query. The second parameter will come from the Value property of the ‘@customerIds’ parameter (this evaluates to an object array at run time). Finally, we’ll need to edit the properties of the ‘@customerIdInserts’ parameter on the report to mark it as a nullable internal parameter so that users aren’t prompted to provide a value for it when running the report. Limitations And Final Thoughts When I first started looking into the text query approach described above I wondered if there might be an upper limit to the size of the string that can be used to run a report. Obviously, the size of the actual query could increase pretty dramatically if you have a parameter that has a lot of potential values or you need to support several different table-valued parameters in the same query. I tested the example Customer Transaction Summary report with 1000 selected customers without any issue, but your mileage may vary depending on how much data you might need to pass into your query. If you think that the text query hack is a lot of work just to use a table-valued parameter, I agree! I think that it should be a lot easier than this to use a table-valued parameter from within SSRS, but so far I haven’t found a better way. It might be possible to create some custom .NET code that could build the EXEC statement for a given set of parameters automatically, but exploring that will have to wait for another post. For now, unless there’s a really compelling reason or requirement to use table-valued parameters from SSRS reports I would probably stick with the tried and true “join-multi-valued-parameter-to-CSV-and-split-in-the-query” approach for using mutli-valued parameters in a stored procedure.

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  • How to Avoid Your Next 12-Month Science Project

    - by constant
    While most customers immediately understand how the magic of Oracle's Hybrid Columnar Compression, intelligent storage servers and flash memory make Exadata uniquely powerful against home-grown database systems, some people think that Exalogic is nothing more than a bunch of x86 servers, a storage appliance and an InfiniBand (IB) network, built into a single rack. After all, isn't this exactly what the High Performance Computing (HPC) world has been doing for decades? On the surface, this may be true. And some people tried exactly that: They tried to put together their own version of Exalogic, but then they discover there's a lot more to building a system than buying hardware and assembling it together. IT is not Ikea. Why is that so? Could it be there's more going on behind the scenes than merely putting together a bunch of servers, a storage array and an InfiniBand network into a rack? Let's explore some of the special sauce that makes Exalogic unique and un-copyable, so you can save yourself from your next 6- to 12-month science project that distracts you from doing real work that adds value to your company. Engineering Systems is Hard Work! The backbone of Exalogic is its InfiniBand network: 4 times better bandwidth than even 10 Gigabit Ethernet, and only about a tenth of its latency. What a potential for increased scalability and throughput across the middleware and database layers! But InfiniBand is a beast that needs to be tamed: It is true that Exalogic uses a standard, open-source Open Fabrics Enterprise Distribution (OFED) InfiniBand driver stack. Unfortunately, this software has been developed by the HPC community with fastest speed in mind (which is good) but, despite the name, not many other enterprise-class requirements are included (which is less good). Here are some of the improvements that Oracle's InfiniBand development team had to add to the OFED stack to make it enterprise-ready, simply because typical HPC users didn't have the need to implement them: More than 100 bug fixes in the pieces that were not related to the Message Passing Interface Protocol (MPI), which is the protocol that HPC users use most of the time, but which is less useful in the enterprise. Performance optimizations and tuning across the whole IB stack: From Switches, Host Channel Adapters (HCAs) and drivers to low-level protocols, middleware and applications. Yes, even the standard HPC IB stack could be improved in terms of performance. Ethernet over IB (EoIB): Exalogic uses InfiniBand internally to reach high performance, but it needs to play nicely with datacenters around it. That's why Oracle added Ethernet over InfiniBand technology to it that allows for creating many virtual 10GBE adapters inside Exalogic's nodes that are aggregated and connected to Exalogic's IB gateway switches. While this is an open standard, it's up to the vendor to implement it. In this case, Oracle integrated the EoIB stack with Oracle's own IB to 10GBE gateway switches, and made it fully virtualized from the beginning. This means that Exalogic customers can completely rewire their server infrastructure inside the rack without having to physically pull or plug a single cable - a must-have for every cloud deployment. Anybody who wants to match this level of integration would need to add an InfiniBand switch development team to their project. Or just buy Oracle's gateway switches, which are conveniently shipped with a whole server infrastructure attached! IPv6 support for InfiniBand's Sockets Direct Protocol (SDP), Reliable Datagram Sockets (RDS), TCP/IP over IB (IPoIB) and EoIB protocols. Because no IPv6 = not very enterprise-class. HA capability for SDP. High Availability is not a big requirement for HPC, but for enterprise-class application servers it is. Every node in Exalogic's InfiniBand network is connected twice for redundancy. If any cable or port or HCA fails, there's always a replacement link ready to take over. This requires extra magic at the protocol level to work. So in addition to Weblogic's failover capabilities, Oracle implemented IB automatic path migration at the SDP level to avoid unnecessary failover operations at the middleware level. Security, for example spoof-protection. Another feature that is less important for traditional users of InfiniBand, but very important for enterprise customers. InfiniBand Partitioning and Quality-of-Service (QoS): One of the first questions we get from customers about Exalogic is: “How can we implement multi-tenancy?” The answer is to partition your IB network, which effectively creates many networks that work independently and that are protected at the lowest networking layer possible. In addition to that, QoS allows administrators to prioritize traffic flow in multi-tenancy environments so they can keep their service levels where it matters most. Resilient IB Fabric Management: InfiniBand is a self-managing network, so a lot of the magic lies in coming up with the right topology and in teaching the subnet manager how to properly discover and manage the network. Oracle's Infiniband switches come with pre-integrated, highly available fabric management with seamless integration into Oracle Enterprise Manager Ops Center. In short: Oracle elevated the OFED InfiniBand stack into an enterprise-class networking infrastructure. Many years and multiple teams of manpower went into the above improvements - this is something you can only get from Oracle, because no other InfiniBand vendor can give you these features across the whole stack! Exabus: Because it's not About the Size of Your Network, it's How You Use it! So let's assume that you somehow were able to get your hands on an enterprise-class IB driver stack. Or maybe you don't care and are just happy with the standard OFED one? Anyway, the next step is to actually leverage that InfiniBand performance. Here are the choices: Use traditional TCP/IP on top of the InfiniBand stack, Develop your own integration between your middleware and the lower-level (but faster) InfiniBand protocols. While more bandwidth is always a good thing, it's actually the low latency that enables superior performance for your applications when running on any networking infrastructure: The lower the latency, the faster the response travels through the network and the more transactions you can close per second. The reason why InfiniBand is such a low latency technology is that it gets rid of most if not all of your traditional networking protocol stack: Data is literally beamed from one region of RAM in one server into another region of RAM in another server with no kernel/drivers/UDP/TCP or other networking stack overhead involved! Which makes option 1 a no-go: Adding TCP/IP on top of InfiniBand is like adding training wheels to your racing bike. It may be ok in the beginning and for development, but it's not quite the performance IB was meant to deliver. Which only leaves option 2: Integrating your middleware with fast, low-level InfiniBand protocols. And this is what Exalogic's "Exabus" technology is all about. Here are a few Exabus features that help applications leverage the performance of InfiniBand in Exalogic: RDMA and SDP integration at the JDBC driver level (SDP), for Oracle Weblogic (SDP), Oracle Coherence (RDMA), Oracle Tuxedo (RDMA) and the new Oracle Traffic Director (RDMA) on Exalogic. Using these protocols, middleware can communicate a lot faster with each other and the Oracle database than by using standard networking protocols, Seamless Integration of Ethernet over InfiniBand from Exalogic's Gateway switches into the OS, Oracle Weblogic optimizations for handling massive amounts of parallel transactions. Because if you have an 8-lane Autobahn, you also need to improve your ramps so you can feed it with many cars in parallel. Integration of Weblogic with Oracle Exadata for faster performance, optimized session management and failover. As you see, “Exabus” is Oracle's word for describing all the InfiniBand enhancements Oracle put into Exalogic: OFED stack enhancements, protocols for faster IB access, and InfiniBand support and optimizations at the virtualization and middleware level. All working together to deliver the full potential of InfiniBand performance. Who else has 100% control over their middleware so they can develop their own low-level protocol integration with InfiniBand? Even if you take an open source approach, you're looking at years of development work to create, test and support a whole new networking technology in your middleware! The Extras: Less Hassle, More Productivity, Faster Time to Market And then there are the other advantages of Engineered Systems that are true for Exalogic the same as they are for every other Engineered System: One simple purchasing process: No headaches due to endless RFPs and no “Will X work with Y?” uncertainties. Everything has been engineered together: All kinds of bugs and problems have been already fixed at the design level that would have only manifested themselves after you have built the system from scratch. Everything is built, tested and integrated at the factory level . Less integration pain for you, faster time to market. Every Exalogic machine world-wide is identical to Oracle's own machines in the lab: Instant replication of any problems you may encounter, faster time to resolution. Simplified patching, management and operations. One throat to choke: Imagine finger-pointing hell for systems that have been put together using several different vendors. Oracle's Engineered Systems have a single phone number that customers can call to get their problems solved. For more business-centric values, read The Business Value of Engineered Systems. Conclusion: Buy Exalogic, or get ready for a 6-12 Month Science Project And here's the reason why it's not easy to "build your own Exalogic": There's a lot of work required to make such a system fly. In fact, anybody who is starting to "just put together a bunch of servers and an InfiniBand network" is really looking at a 6-12 month science project. And the outcome is likely to not be very enterprise-class. And it won't have Exalogic's performance either. Because building an Engineered System is literally rocket science: It takes a lot of time, effort, resources and many iterations of design/test/analyze/fix to build such a system. That's why InfiniBand has been reserved for HPC scientists for such a long time. And only Oracle can bring the power of InfiniBand in an enterprise-class, ready-to use, pre-integrated version to customers, without the develop/integrate/support pain. For more details, check the new Exalogic overview white paper which was updated only recently. P.S.: Thanks to my colleagues Ola, Paul, Don and Andy for helping me put together this article! var flattr_uid = '26528'; var flattr_tle = 'How to Avoid Your Next 12-Month Science Project'; var flattr_dsc = 'While most customers immediately understand how the magic of Oracle's Hybrid Columnar Compression, intelligent storage servers and flash memory make Exadata uniquely powerful against home-grown database systems, some people think that Exalogic is nothing more than a bunch of x86 servers, a storage appliance and an InfiniBand (IB) network, built into a single rack.After all, isn't this exactly what the High Performance Computing (HPC) world has been doing for decades?On the surface, this may be true. And some people tried exactly that: They tried to put together their own version of Exalogic, but then they discover there's a lot more to building a system than buying hardware and assembling it together. IT is not Ikea.Why is that so? Could it be there's more going on behind the scenes than merely putting together a bunch of servers, a storage array and an InfiniBand network into a rack? Let's explore some of the special sauce that makes Exalogic unique and un-copyable, so you can save yourself from your next 6- to 12-month science project that distracts you from doing real work that adds value to your company.'; var flattr_tag = 'Engineered Systems,Engineered Systems,Infiniband,Integration,latency,Oracle,performance'; var flattr_cat = 'text'; var flattr_url = 'http://constantin.glez.de/blog/2012/04/how-avoid-your-next-12-month-science-project'; var flattr_lng = 'en_GB'

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  • Silverlight Cream for April 23, 2010 -- #845

    - by Dave Campbell
    In this Issue: Jason Allor, Bill Reiss, Mike Snow, Tim Heuer, John Papa, Jeremy Likness, and Dave Campbell. Shoutouts: You saw it at MIX10 and DevConnections... now you can give it a dance, John Papa announced eBay Simple Lister Beta Now Available Mike Snow posted some info about and a link to his new Flickr/Bing/Google High End Image Viewer and he's looking for feedback From SilverlightCream.com: Hierarchical Data Trees With A Custom DataSource Jason Allor is rounding out a series here in his new blog (bookmark it), and he's created his own custom HierarchicalDataSource class for use with the TreeView. Space Rocks game step 11: Start level logic Bill Reiss has Episode 11 up in his Space Rocks game ... working on NewGame and start level logic Silverlight Tip of the Day #3 – Mouse Right Clicks Mike Snow has Tip 3 up ... about handling right-mouse clicks in Silverlight 4 -- oh yeah, we got right mouse now ... grab Mike's project to check it out. Silverlight 4 enables Authorization header modification Tim Heuer talks about the ability to modify the Authorization header in network calls with Silverlight 4. He gives not only the quick-and-dirty of how to use it, but has some good examples, code, and code results for show and tell. WCF RIA Services - Hands On Lab John Papa built a bookstore app in roughly 10 minutes in the keynote at DevConnections. He now has a tutorial on doing just that plus all the code up. Transactions with MVVM Not strictly Silverlight (or WPF), but Jeremy Likness has an interesting article up on MVVM and transaction processing. Read the post then grab his helper class. Your First Windows Phone 7 Application As with the First Silverlight App a couple weeks ago, if you've got any WP7 experience at all, just keep going... this is for folks that have not looked at it yet, have not downloaded anything... oh, and it's by Dave Campbell Stay in the 'Light! Twitter SilverlightNews | Twitter WynApse | WynApse.com | Tagged Posts | SilverlightCream Join me @ SilverlightCream | Phoenix Silverlight User Group Technorati Tags: Silverlight    Silverlight 3    Silverlight 4    Windows Phone MIX10

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  • SQL SERVER – Weekly Series – Memory Lane – #049

    - by Pinal Dave
    Here is the list of selected articles of SQLAuthority.com across all these years. Instead of just listing all the articles I have selected a few of my most favorite articles and have listed them here with additional notes below it. Let me know which one of the following is your favorite article from memory lane. 2007 Two Connections Related Global Variables Explained – @@CONNECTIONS and @@MAX_CONNECTIONS @@CONNECTIONS Returns the number of attempted connections, either successful or unsuccessful since SQL Server was last started. @@MAX_CONNECTIONS Returns the maximum number of simultaneous user connections allowed on an instance of SQL Server. The number returned is not necessarily the number currently configured. Query Editor – Microsoft SQL Server Management Studio This post may be very simple for most of the users of SQL Server 2005. Earlier this year, I have received one question many times – Where is Query Analyzer in SQL Server 2005? I wrote small post about it and pointed many users to that post – SQL SERVER – 2005 Query Analyzer – Microsoft SQL SERVER Management Studio. Recently I have been receiving similar question. OUTPUT Clause Example and Explanation with INSERT, UPDATE, DELETE SQL Server 2005 has a new OUTPUT clause, which is quite useful. OUTPUT clause has access to insert and deleted tables (virtual tables) just like triggers. OUTPUT clause can be used to return values to client clause. OUTPUT clause can be used with INSERT, UPDATE, or DELETE to identify the actual rows affected by these statements. OUTPUT clause can generate a table variable, a permanent table, or temporary table. Even though, @@Identity will still work with SQL Server 2005, however I find the OUTPUT clause very easy and powerful to use. Let us understand the OUTPUT clause using an example. Find Name of The SQL Server Instance Based on database server stored procedures has to run different logic. We came up with two different solutions. 1) When database schema is very much changed, we wrote completely new stored procedure and deprecated older version once it was not needed. 2) When logic depended on Server Name we used global variable @@SERVERNAME. It was very convenient while writing migrating script which depended on the server name for the same database. Explanation of TRY…CATCH and ERROR Handling With RAISEERROR Function One of the developers at my company thought that we can not use the RAISEERROR function in new feature of SQL Server 2005 TRY… CATCH. When asked for an explanation he suggested SQL SERVER – 2005 Explanation of TRY… CATCH and ERROR Handling article as excuse suggesting that I did not give example of RAISEERROR with TRY…CATCH. We all thought it was funny. Just to keep records straight, TRY… CATCH can sure use RAISEERROR function. Different Types of Cache Objects Serveral kinds of objects can be stored in the procedure cache: Compiled Plans: When the query optimizer finishes compiling a query plan, the principal output is compiled plan. Execution contexts: While executing a compiled plan, SQL Server has to keep track of information about the state of execution. Cursors: Cursors track the execution state of server-side cursors, including the cursor’s current location within a resultset. Algebrizer trees: The Algebrizer’s job is to produce an algebrizer tree, which represents the logic structure of a query. Open SSMS From Command Prompt – sqlwb.exe Example This article is written by request and suggestion of Sr. Web Developer at my organization. Due to the nature of this article most of the content is referred from Book On-Line. sqlwbcommand prompt utility which opens SQL Server Management Studio. Squib command does not run queries from the command prompt. sqlcmd utility runs queries from command prompt, read for more information. 2008 Puzzle – Solution – Computed Columns Datatype Explanation Just a day before I wrote article SQL SERVER – Puzzle – Computed Columns Datatype Explanation which was inspired by SQL Server MVP Jacob Sebastian. I suggest that before continuing this article read the original puzzle question SQL SERVER – Puzzle – Computed Columns Datatype Explanation.The question was if the computed column was of datatype TINYINT how to create a Computed Column of datatype INT? 2008 – Find If Index is Being Used in Database It is very often I get a query that how to find if any index is being used in the database or not. If any database has many indexes and not all indexes are used it can adversely affect performance. If the number of indices are higher it reduces the INSERT / UPDATE / DELETE operation but increase the SELECT operation. It is recommended to drop any unused indexes from table to improve the performance. 2009 Interesting Observation – Execution Plan and Results of Aggregate Concatenation Queries If you want to see what’s going on here, I think you need to shift your point of view from an implementation-centric view to an ANSI point of view. ANSI does not guarantee processing the order. Figure 2 is interesting, but it will be potentially misleading if you don’t understand the ANSI rule-set SQL Server operates under in most cases. Implementation thinking can certainly be useful at times when you really need that multi-million row query to finish before the backup fire off, but in this case, it’s counterproductive to understanding what is going on. SQL Server Management Studio and Client Statistics Client Statistics are very important. Many a times, people relate queries execution plan to query cost. This is not a good comparison. Both parameters are different, and they are not always related. It is possible that the query cost of any statement is less, but the amount of the data returned is considerably larger, which is causing any query to run slow. How do we know if any query is retrieving a large amount data or very little data? 2010 I encourage all of you to go through complete series and write your own on the subject. If you write an article and send it to me, I will publish it on this blog with due credit to you. If you write on your own blog, I will update this blog post pointing to your blog post. SQL SERVER – ORDER BY Does Not Work – Limitation of the View 1 SQL SERVER – Adding Column is Expensive by Joining Table Outside View – Limitation of the View 2 SQL SERVER – Index Created on View not Used Often – Limitation of the View 3 SQL SERVER – SELECT * and Adding Column Issue in View – Limitation of the View 4 SQL SERVER – COUNT(*) Not Allowed but COUNT_BIG(*) Allowed – Limitation of the View 5 SQL SERVER – UNION Not Allowed but OR Allowed in Index View – Limitation of the View 6 SQL SERVER – Cross Database Queries Not Allowed in Indexed View – Limitation of the View 7 SQL SERVER – Outer Join Not Allowed in Indexed Views – Limitation of the View 8 SQL SERVER – SELF JOIN Not Allowed in Indexed View – Limitation of the View 9 SQL SERVER – Keywords View Definition Must Not Contain for Indexed View – Limitation of the View 10 SQL SERVER – View Over the View Not Possible with Index View – Limitations of the View 11 SQL SERVER – Get Query Running in Session I was recently looking for syntax where I needed a query running in any particular session. I always remembered the syntax and ha d actually written it down before, but somehow it was not coming to mind quickly this time. I searched online and I ended up on my own article written last year SQL SERVER – Get Last Running Query Based on SPID. I felt that I am getting old because I forgot this really simple syntax. Find Total Number of Transaction on Interval In one of my recent Performance Tuning assignments I was asked how do someone know how many transactions are happening on a server during certain interval. I had a handy script for the same. Following script displays transactions happened on the server at the interval of one minute. You can change the WAITFOR DELAY to any other interval and it should work. 2011 Here are two DMV’s which are newly introduced in SQL Server 2012 and provides vital information about SQL Server. DMV – sys.dm_os_volume_stats – Information about operating system volume DMV – sys.dm_os_windows_info – Information about Operating System SQL Backup and FTP – A Quick and Handy Tool I have used this tool extensively since 2009 at numerous occasion and found it to be very impressive. What separates it from the crowd the most – it is it’s apparent simplicity and speed. When I install SQLBackupAndFTP and configure backups – all in 1 or 2 minutes, my clients are always impressed. Quick Note about JOIN – Common Questions and Simple Answers In this blog post we are going to talk about join and lots of things related to the JOIN. I recently started office hours to answer questions and issues of the community. I receive so many questions that are related to JOIN. I will share a few of the same over here. Most of them are basic, but note that the basics are of great importance. 2012 Importance of User Without Login Question: “In recent version of SQL Server we can create user without login. What is the use of it?” Great question indeed. Let me first attempt to answer this question but after reading my answer I need your help. I want you to help him as well with adding more value to it. Preserve Leading Zero While Coping to Excel from SSMS Earlier I wrote two articles about how to efficiently copy data from SSMS to Excel. Since I wrote that post there are plenty of interest generated on this subject. There are a few questions I keep on getting over this subject. One of the question is how to get the leading zero preserved while copying the data from SSMS to Excel. Well it is almost the same way as my earlier post SQL SERVER – Excel Losing Decimal Values When Value Pasted from SSMS ResultSet. The key here is in EXCEL and not in SQL Server. Solution – 2 T-SQL Puzzles – Display Star and Shortest Code to Display 1 Earlier on this blog we had asked two puzzles. The response from all of you is nothing but Amazing. I have received 350+ responses. Many are valid and many were indeed something I had not thought about it. I strongly suggest you read all the puzzles and their answers here - trust me if you start reading the comments you will not stop till you read every single comment. Seriously trust me on it. Personally I have learned a lot from it. Identify Most Resource Intensive Queries – SQL in Sixty Seconds #028 – Video http://www.youtube.com/watch?v=TvlYy-TGaaA Importance of User Without Login – T-SQL Demo Script Earlier I wrote a blog post about SQL SERVER – Importance of User Without Login and my friend and SQL Expert Vinod Kumar has written excellent follow up blog post about Contained Databases inside SQL Server 2012. Now lots of people asked me if I can also explain the same concept again so here is the small demonstration for it. Let me show you how login without user can help. Before we continue on this subject I strongly recommend that you read my earlier blog post here. In following demo I am going to demonstrate following situation. Login using the System Admin account Create a user without login Checking Access Impersonate the user without login Checking Access Revert Impersonation Give Permission to user without login Impersonate the user without login Checking Access Revert Impersonation Clean up Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Memory Lane, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • Runaway version store in tempdb

    - by DavidWimbush
    Today was really a new one. I got back from a week off and found our main production server's tempdb had gone from its usual 200MB to 36GB. Ironically I spent Friday at the most excellent SQLBits VI and one of the sessions I attended was Christian Bolton talking about tempdb issues - including runaway tempdb databases. How just-in-time was that?! I looked into the file growth history and it looks like the problem started when my index maintenance job was chosen as the deadlock victim. (Funny how they almost make it sound like you've won something.) That left tempdb pretty big but for some reason it grew several more times. And since I'd left the file growth at the default 10% (aaargh!) the worse it got the worse it got. The last regrowth event was 2.6GB. Good job I've got Instant Initialization on. Since the Disk Usage report showed it was 99% unallocated I went into the Shrink Files dialogue which helpfully informed me the data file was 250MB.  I'm afraid I've got a life (allegedly) so I restarted the SQL Server service and then immediately ran a script to make the initial size bigger and change the file growth to a number of MB. The script complained that the size was smaller than the current size. Within seconds! WTF? Now I had to find out what was using so much of it. By using the DMV sys.dm_db_file_space_usage I found the problem was in the version store, and using the DMV sys.dm_db_task_space_usage and the Top Transactions by Age report I found that the culprit was a 3rd party database where I had turned on read_committed_snapshot and then not bothered to monitor things properly. Just because something has always worked before doesn't mean it will work in every future case. This application had an implicit transaction that had been running for over 2 hours.

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  • You Need BRM When You have EBS – and Even When You Don’t!

    - by bwalstra
    Here is a list of criteria to test your business-systems (Oracle E-Business Suite, EBS) or otherwise to support your lines of digital business - if you score low, you need Oracle Billing and Revenue Management (BRM). Functions Scalability High Availability (99.999%) Performance Extensibility (e.g. APIs, Tools) Upgradability Maintenance Security Standards Compliance Regulatory Compliance (e.g. SOX) User Experience Implementation Complexity Features Customer Management Real-Time Service Authorization Pricing/Promotions Flexibility Subscriptions Usage Rating and Pricing Real-Time Balance Mgmt. Non-Currency Resources Billing & Invoicing A/R & G/L Payments & Collections Revenue Assurance Integration with Key Enterprise Applications Reporting Business Intelligence Order & Service Mgmt (OSM) Siebel CRM E-Business Suite On-/Off-line Mediation Payment Processing Taxation Royalties & Settlements Operations Management Disaster Recovery Overall Evaluation Implementation Configuration Extensibility Maintenance Upgradability Functional Richness Feature Richness Usability OOB Integrations Operations Management Leveraging Oracle Technology Overall Fit for Purpose You need Oracle BRM: Built for high-volume transaction processing Monetizes any service or event based on any metric Supports high-volume usage rating, pricing and promotions Provides real-time charging, service authorization and balance management Supports any account structure (e.g. corporate hierarchies etc.) Scales from low volumes to extremely high volumes of transactions (e.g. billions of trxn per hour) Exposes every single function via APIs (e.g. Java, C/C++, PERL, COM, Web Services, JCA) Immediate Business Benefits of BRM: Improved business agility and performance Supports the flexibility, innovation, and customer-centricity required for current and future business models Faster time to market for new products and services Supports 360 view of the customer in real-time – products can be launched to targeted customers at a record-breaking pace Streamlined deployment and operation Productized integrations, standards-based APIs, and OOB enablement lower deployment and maintenance costs Extensible and scalable solution Minimizes risk – initial phase deployed rapidly; solution extended and scaled seamlessly per business requirements Key Considerations Productized integration with key Oracle applications Lower integration risks and cost Efficient order-to-cash process Engineered solution – certification on Exa platform Exadata tested at PayPal in the re-platforming project Optimal performance of Oracle assets on Oracle hardware Productized solution in Rapid Offer Design and Order Delivery Fast offer design and implementation Significantly shorter order cycle time Productized integration with Oracle Enterprise Manager Visibility to system operability for optimal up time

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  • Google Analytics cookie across SagePay checkout

    - by AlexCambridgeUK
    We use SagePay's Server integration for our online payments. We use Google Analytics to track activity on our website and Google Ecommerce tracking to log transactions. In Google Analytics, under the Ecommerce view, it shows direct/none for source/medium, as the 1st party cookie is lost when visiting the external SagePay checkout pages before the customer is redirected to my confirmation page which tracks the transaction. In all the answers I have viewed when searching for a solution, the suggestion is to alter the tracking code to read _gaq.push(['_setDomainName', 'none']); _gaq.push(['_setAllowLinker', true]); but this needs to be implemented on all pages, including 3rd party domains (SagePay). As SagePay don't allow javascript in their template customisation, what can I do? Is there another way? Edit: I just found this code: var pageTracker = _gat._getTracker('UA-XXXXX-X'); pageTracker._setCampNameKey('ga_campaign'); // name pageTracker._setCampMediumKey('ga_medium'); // medium pageTracker._setCampSourceKey('ga_source'); // source pageTracker._setCampNOKey('ga_nooverride'); // don't override pageTracker._trackPageview(); Could I store pre-checkout values for source/campaign/medium to a cookie and the retrieve it post-checkout into the code above, or would this start a new tracking session?

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  • MSDN Subscriber Benefits

    - by kaleidoscope
    Windows Azure Platform offer Introductory MSDN Premium offer Ongoing MSDN Subscription Benefits Windows Azure Compute hours per month 750 hours 250 100 50 Storage 10 GB 7.5 GB 5 GB 3 GB Transactions per month 1,000,000 750,000 500,000 300,000 AppFabric Service bus messages per month 1,000,000 1,000,000 500,000 300,000 SQL Azure Web Edition (1GB databases) 3 3 2 1 Data Transfers per month Europe and North America 7 GB in / 14 GB out 5 GB in / 10 GB out 3 GB in / 6 GB out 2 GB in / 4 GB out Asia Pacific 2.5 GB in / 5 GB out 2 GB in / 4 GB out 1 GB in / 2 GB out .5 GB in / 1 GB out Available for sign-up January 4, 2010* After completion of your 8 month introductory Windows Azure benefit Duration of benefit 8 months While MSDN Subscription remains active Subscription levels receiving benefit** MSDN Premium & BizSpark Visual Studio Ultimate with MSDN & BizSpark Visual Studio Premium with MSDN Visual Studio Professional with MSDN Estimated Retail Value: $1038 (8 months) $812/year $436/year $223/year This introductory offer will last for 8 months from the time you sign up. After that, you'll cancel your introductory account and sign up for the ongoing MSDN benefit based on your subscription level. The easiest way to cancel your introductory account is to set it to not "auto-renew". Think of "compute" as an instance of your application running in the cloud. So with 750 hours per month, you can keep a single instance running non-stop all month long. Or run 2 compute instances for two weeks a month. Or 4 for a week a piece. Lokesh, M

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  • Defense Manpower Data Center Wins Award for Excellence in the Workforce

    - by Peggy Chen
    The Defense Manpower Data Center milConnect website recently won the 2012 Excellence.gov Award for Excellence in the Workforce. Defense Manpower Data Center milConnect is a centralized, online resource that provides military service members (active and retired) and their families (over 42 million in total) quick access to their profile, health care enrollments, benefits, and other military-related topics. An easy to use, safe and secure website, milConnect also provides service members with convenient access their personnel and service-related information. The self-service website allow users to quickly and easily find and, where applicable, update their information in the Defense Eligibility Reporting System (DEERS) and milConnect transmits information to and from one reliable source safely and securely.  The Defense Manpower Data Center (DMDC) maintains the largest, most comprehensive central repository of personnel, manpower, casualty, pay, entitlement, personnel security, person identity and attributes, survey, testing, training, and financial data in the Department of Defense (DoD).  This is one of the largest systems of record in the world. milConnect had the challenge of modernizing the user experience for over 42 million users. With records in over 22 applications and 25 interfaces in hundreds of existing systems, milConnect needed to reduce the complexity of multiple authentication sources as well as consolidating access to existing systems with sensitive information. It accomplished this using a service-orientated architecture, enterprise security and access and identity management for self-service access on a massive scale. By providing 24x7x365 secure access and handling over 5 million transactions daily, not only has milConnect, built on Oracle WebCenter, streamlined and improved the customer experience for military personnel and families. it has also done so while cutting costs, allowing self-service access, and promoting electronic government. Congrats to Defense Manpower Data Center and milConnect! 

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