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  • Difference between EJB Persist & Merge operation

    - by shantala.sankeshwar
    This article gives the difference between EJB Persist & Merge operations with scenarios.Use Case Description Users working on EJB persist & merge operations often have this question in mind " When merge can create new entity as well as modify existing entity,then why do we have 2 separate operations - persist & merge?" The reason is very simple.If we use merge operation to create new entity & if the entity exists then it does not throw any exception,but persist throws exception if the entity already exists.Merge should be used to modify the existing entity.The sql statement that gets executed on persist operation is insert statement.But in case of merge first select statement gets executed & then update sql statement gets executed.Scenario 1: Persist operation to create new Emp recordLet us suppose that we have a Java EE Web Application created with Entities from Emp table & have created session bean with data control. Drop Emp Object(Expand SessionEJBLocal->Constructors under Data Controls) as ADF Parameter form in jspx pageDrop persistEmp(Emp) as ADF CommandButton & provide #{bindings.EmpIterator.currentRow.dataProvider} as the value for emp parameter.Then run this page & provide values for Emp,click on 'persistEmp' button.New Emp record gets created.So when we execute persist operation only insert sql statement gets executed :INSERT INTO EMP (EMPNO, COMM, HIREDATE, ENAME, JOB, DEPTNO, SAL, MGR) VALUES (?, ?, ?, ?, ?, ?, ?, ?)    bind => [2, null, null, e2, null, 10, null, null]Scenario 2: Merge operation to modify existing Emp recordLet us suppose that we have a Java EE Web Application created with Entities from Emp table & have created session bean with data control.Drop empFindAll() Object as ADF form on jspx page.Drop mergeEmp(Emp) operation as commandButton & provide #{bindings.EmpIterator.currentRow.dataProvider} as the value for emp parameter.Then run this page & modify values for Emp record,click on 'mergeEmp' button.The respective Emp record gets modified.So when we execute merge operation select & update sql statements gets executed :SELECT EMPNO, COMM, HIREDATE, ENAME, JOB, DEPTNO, SAL, MGR FROM EMP WHERE (EMPNO = ?) bind => [7566]UPDATE EMP SET ENAME = ? WHERE (EMPNO = ?) bind => [KINGS, 7839]

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  • Tuxedo Load Balancing

    - by Todd Little
    A question I often receive is how does Tuxedo perform load balancing.  This is often asked by customers that see an imbalance in the number of requests handled by servers offering a specific service. First of all let me say that Tuxedo really does load or request optimization instead of load balancing.  What I mean by that is that Tuxedo doesn't attempt to ensure that all servers offering a specific service get the same number of requests, but instead attempts to ensure that requests are processed in the least amount of time.   Simple round robin "load balancing" can be employed to ensure that all servers for a particular service are given the same number of requests.  But the question I ask is, "to what benefit"?  Instead Tuxedo scans the queues (which may or may not correspond to servers based upon SSSQ - Single Server Single Queue or MSSQ - Multiple Server Single Queue) to determine on which queue a request should be placed.  The scan is always performed in the same order and during the scan if a queue is empty the request is immediately placed on that queue and request routing is done.  However, should all the queues be busy, meaning that requests are currently being processed, Tuxedo chooses the queue with the least amount of "work" queued to it where work is the sum of all the requests queued weighted by their "load" value as defined in the UBBCONFIG file.  What this means is that under light loads, only the first few queues (servers) process all the requests as an empty queue is often found before reaching the end of the scan.  Thus the first few servers in the queue handle most of the requests.  While this sounds non-optimal, in fact it capitalizes on the underlying operating systems and hardware behavior to produce the best possible performance.  Round Robin scheduling would spread the requests across all the available servers and thus require all of them to be in memory, and likely not share much in the way of hardware or memory caches.  Tuxedo's system maximizes the various caches and thus optimizes overall performance.  Hopefully this makes sense and now explains why you may see a few servers handling most of the requests.  Under heavy load, meaning enough load to keep all servers that can handle a request busy, you should see a relatively equal number of requests processed.  Next post I'll try and cover how this applies to servers in a clustered (MP) environment because the load balancing there is a little more complicated. Regards,Todd LittleOracle Tuxedo Chief Architect

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  • Where Facebook Stands Heading Into 2013

    - by Mike Stiles
    In our last blog, we looked at how Twitter is positioned heading into 2013. Now it’s time to take a similar look at Facebook. 2012, for a time at least, seemed to be the era of Facebook-bashing. Between a far-from-smooth IPO, subsequent stock price declines, and anxiety over privacy, the top social network became a target for comedians, politicians, business journalists, and of course those who were prone to Facebook-bash even in the best of times. But amidst the “this is the end of Facebook” headlines, the company kept experimenting, kept testing, kept innovating, and pressing forward, committed as always to the user experience, while concurrently addressing monetization with greater urgency. Facebook enters 2013 with over 1 billion users around the world. Usage grew 41% in Brazil, Russia, Japan, South Korea and India in 2012. In the Middle East and North Africa, an average 21 new signups happen per minute. Engagement and time spent on the site would impress the harshest of critics. Facebook, while not bulletproof, has become such an integrated daily force in users’ lives, it’s getting hard to imagine any future mass rejection. You want to see a company recognizing weaknesses and shoring them up. Mobile was a weakness in 2012 as Facebook was one of many caught by surprise at the speed of user migration to mobile. But new mobile interfaces, better mobile ads, speed upgrades, standalone Messenger and Pages mobile apps, and the big dollar acquisition of Instagram, were a few indicators Facebook won’t play catch-up any more than it has to. As a user, the cool thing about Facebook is, it knows you. The uncool thing about Facebook is, it knows you. The company’s walking a delicate line between the public’s competing desires for customized experiences and privacy. While the company’s working to make privacy options clearer and easier, Facebook’s Paul Adams says data aggregation can move from acting on what a user is engaging with at the moment to a more holistic view of what they’re likely to want at any given time. To help learn about you, there’s Open Graph. Embedded through diverse partnerships, the idea is to surface what you’re doing and what you care about, and help you discover things via your friends’ activities. Facebook’s Director of Engineering, Mike Vernal, says building mobile social apps connected to Facebook in such ways is the next wave of big innovation. Expect to see that fostered in 2013. The Facebook site experience is always evolving. Some users like that about Facebook, others can’t wait to complain about it…on Facebook. The Facebook focal point, the News Feed, is not sacred and is seeing plenty of experimentation with the insertion of modules. From upcoming concerts, events, suggested Pages you might like, to aggregated “most shared” content from social reader apps, plenty could start popping up between those pictures of what your friends had for lunch.  As for which friends’ lunches you see, that’s a function of the mythic EdgeRank…which is also tinkered with. When Facebook changed it in September, Page admins saw reach go down and the high anxiety set in quickly. Engagement, however, held steady. The adjustment was about relevancy over reach. (And oh yeah, reach was something that could be charged for). Facebook wants users to see what they’re most likely to like, based on past usage and interactions. Adding to the “cream must rise to the top” philosophy, they’re now even trying out ordering post comments based on the engagement the comments get. Boy, it’s getting competitive out there for a social engager. Facebook has to make $$$. To do that, they must offer attractive vehicles to marketers. There are a myriad of ad units. But a key Facebook marketing concept is the Sponsored Story. It’s key because it encourages content that’s good, relevant, and performs well organically. If it is, marketing dollars can amplify it and extend its reach. Brands can expect the rollout of a search product and an ad network. That’s a big deal. It takes, as Open Graph does, the power of Facebook’s user data and carries it beyond the Facebook environment into the digital world at large. No one could target like Facebook can, and some analysts think it could double their roughly $5 billion revenue stream. As every potential revenue nook and cranny is explored, there are the users themselves. In addition to Gifts, Facebook thinks users might pay a few bucks to promote their own posts so more of their friends will see them. There’s also word classifieds could be purchased in News Feeds, though they won’t be called classifieds. And that’s where Facebook stands; a wildly popular destination, a part of our culture, with ever increasing functionalities, the biggest of big data, revenue strategies that appeal to marketers without souring the user experience, new challenges as a now public company, ongoing privacy concerns, and innovations that carry Facebook far beyond its own borders. Anyone care to write a “this is the end of Facebook” headline? @mikestilesPhoto via stock.schng

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  • View Link inConsistency

    - by Abhishek Dwivedi
    What is View Link Consistency? When multiple instances (say VO1, VO2, VO3 etc) of an EO-based VO are based on the same underlying EO, a new row created in one of these VO instances (say VO1)can be automatically added (without re-query) to the row sets of the others (VO2, VO3 etc ). This capability is known as the view link consistency. This feature works for any VO for which it is enabled, regardless of whether they are involved in a view link or not. What causes View Link inConsistency? Unless jbo.viewlink.consistent  is disabled for this VO (or globally), or setAssociationConsistent(false) is applied, any of the following can cause View Link inConsistency.  1. setWhereClause 2. Unreferenced secondary EO 3. findByViewCriteria() 4. Using view link accessor row set Why does this happen - View Link inConsistency? Well, there can be one of the following reasons. a. In case of 1 & 2, the view link consistency flag is disabled on that view object. b. As far as 3 is concerned, findByViewCriteria is used to retrieve a new row set to process programmatically without changing the contents of the default row set. In this case, unlike previous cases, the view link consistency flag is not disabled, meaning that the changes in the default row set would be reflected in the new row set.  However, the opposite doesn't hold true. For instance, if a row is deleted from this new row set, the corresponding row in the default row set does not get deleted. In one of my features, which involved deletion of row(s), I resolved the view link inconsistency issue by replacing findByViewCriteria by applyViewCriteria. b. For 4, it's similar to 3 - whenever a view link accessor row set is retrieved, a new row set is created. Now, creating new row set does not mean re-executing the query each time, only creating a new instance of a RowSet object with its default iterator reset to the "slot" before the first row. Also, please note that this new row set always originates from an internally created view object instance, not one you that added to the data model. This internal view object instance is created as needed and added with a system-defined name to the root application module. Anyway, the very reason a distinct, internally-created view object instance is used is to guarantee that it remains unaffected by developer-related changes to their own view objects instances in the data model.

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  • New Cloud Security Book: Securing the Cloud by Vic Winkler

    - by user12608550
    It's rare that I read a technical book straight through; I usually read key chapters and save the rest for later reference. But Winkler's book, written by an accomplished and highly experienced security professional, was worth a complete read, cover to cover. Of the recently published cloud security books, such as... Cloud Security and Privacy: An Enterprise Perspective on Risks and Compliance, by Tim Mather, Subra Kumaraswamy, and Shahed Latif; O'Reilly Media Inc, 2009; Cloud Computing: Implementation, Management, and Security, by John Rittenhouse and James Ransome; CRC Press 2010; Cloud Security: A Comprehensive Guide to Secure Cloud Computing, by Ronald Krutz and Russell Vines; Wiley Publishing Inc, 2010 ...Securing the Cloud is the most useful and informative about all aspects of cloud security. Clearly, through his experience, the author has thought through many practical issues of securing large, virtualized IT installations. His Chapter 6 on Best Practices and Chapter 9 with its valuable checklists are worth the price of the book. If you are among the many new cloud computing professionals, Securing the Cloud is an essential reference for your work.

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  • JavaOne Latin America 2012 Trip Report

    - by reza_rahman
    JavaOne Latin America 2012 was held at the Transamerica Expo Center in Sao Paulo, Brazil on December 4-6. The conference was a resounding success with a great vibe, excellent technical content and numerous world class speakers. Some notable local and international speakers included Bruno Souza, Yara Senger, Mattias Karlsson, Vinicius Senger, Heather Vancura, Tori Wieldt, Arun Gupta, Jim Weaver, Stephen Chin, Simon Ritter and Henrik Stahl. Topics covered included the JCP/JUGs, Java SE 7, HTML 5/WebSocket, CDI, Java EE 6, Java EE 7, JSF 2.2, JMS 2, JAX-RS 2, Arquillian and JavaFX. Bruno Borges and I manned the GlassFish booth at the Java Pavilion on Tuesday and Webnesday. The booth traffic was decent and not too hectic. We met a number of GlassFish adopters including perhaps one of the largest GlassFish deployments in Brazil as well as some folks migrating to Java EE from Spring. We invited them to share their stories with us. We also talked with some key members of the local Java community. Tuesday evening we had the GlassFish party at the Tribeca Pub. The party was definitely a hit and we could have used a larger venue (this was the first time we had the GlassFish party in Brazil). Along with GlassFish enthusiasts, a number of Java community leaders were there. We met some of the same folks again at the JUG leader's party on Wednesday evening. On Thursday Arun Gupta, Bruno Borges and I ran a hands-on-lab on JAX-RS, WebSocket and Server-Sent Events (SSE) titled "Developing JAX-RS Web Applications Utilizing Server-Sent Events and WebSocket". This is the same Java EE 7 lab run at JavaOne San Francisco. The lab provides developers a first hand glipse of how an HTML 5 powered Java EE application might look like. We had an overflow crowd for the lab (at one point we had about twenty people standing) and the lab went very well. The slides for the lab are here: Developing JAX-RS Web Applications Utilizing Server-Sent Events and WebSocket from Reza Rahman The actual contents for the lab is available here. Give me a shout if you need help getting it up and running. I gave two solo talks following the lab. The first was on JMS 2 titled "What’s New in Java Message Service 2". This was essentially the same talk given by JMS 2 specification lead Nigel Deakin at JavaOne San Francisco. I talked about the JMS 2 simplified API, JMSContext injection, delivery delays, asynchronous send, JMS resource definition in Java EE 7, standardized configuration for JMS MDBs in EJB 3.2, mandatory JCA pluggability and the like. The session went very well, there was good Q & A and someone even told me this was the best session of the conference! The slides for the talk are here: What’s New in Java Message Service 2 from Reza Rahman My last talk for the conference was on JAX-RS 2 in the keynote hall. Titled "JAX-RS 2: New and Noteworthy in the RESTful Web Services API" this was basically the same talk given by the specification leads Santiago Pericas-Geertsen and Marek Potociar at JavaOne San Francisco. I talked about the JAX-RS 2 client API, asyncronous processing, filters/interceptors, hypermedia support, server-side content negotiation and the like. The talk went very well and I got a few very kind complements afterwards. The slides for the talk are here: JAX-RS 2: New and Noteworthy in the RESTful Web Services API from Reza Rahman On a more personal note, Sao Paulo has always had a special place in my heart as the incubating city for Sepultura and Soulfy -- two of my most favorite heavy metal musical groups of all time! Consequently, the city has a perpertually alive and kicking metal scene pretty much any given day of the week. This time I got to check out a solid performance by local metal gig Republica at the legendary Manifesto Bar. I also wanted to see a Dio Tribute at the Blackmore but ran out of time and energy... Overall I enjoyed the conference/Sao Paulo and look forward to going to Brazil again next year!

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  • CRM Evolution 2014: Mediocrity is the New Horrible in Customer Service

    - by Tuula Fai
    "Mediocrity is the new horrible in customer service," Blair McHaney, Gold's Gym Almost everyone knows that customers' expectations have risen. But, after listening to two days of presentations at CRM Evolution, I think it’s more accurate to say that customers' expectations have skyrocketed. Fortunately, most companies have gotten the message and are taking their customer service to a higher level. For those who've been hesitant to 'boldly go where their customer service organization has not gone before,' take heart. I’ve got some statistics that will encourage you to take those first few steps. Why should I change? By engaging customers online, ancestry.com achieved a 99.5% customer satisfaction score (CSAT) while improving retention and saving millions on greater efficiency, including a 38%-50% drop in inbound calls and emails.1 By empowering employees to delight customers, Gold’s Gym achieved a 77.5% Net Promoter Score (NPS) and 22% customer churn rate. No small feat when you consider the industry averages are 40% NPS and 45% churn.2 By adapting quickly to social media, brands like Verizon have benefited from social community members spending 2.5x-10x more than average customers.3 ‘The fierce urgency of now’ is upon us in customer service. You can take your customer service to a higher level! To find out more, click here CRM Evolution Customer Service Experience Footnotes: 1. Arvindh Balakrishnan, Is Your Customer Service Modern?2. Blair McHaney, Wire Your Organization with Customer Feedback3. Becky Carroll, The Power of Communities for Improving the Service Experience and Building Advocates

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  • Workshop in Denver canceled - thanks to hurricane Isaac

    - by Mike Dietrich
    Yesterday Roy did start his journey on time to travel to Denver, CO for today's Upgrade and Migration Workshop.  But unfortunately due to the remnants of  hurricane Issac moving up the East Coast and scrambling up flight schedules Roy's flight from NYC to Denver got canceled after a 3 hour delay leaving Manchester, NH, and there was no option to arrive in Denver this morning on time. So we apologize for canceling that workshop. The local marketing department will contact you regarding an alternative date. Sorry for any inconvenience!

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  • Creating Custom validation rule and register it

    - by FormsEleven
    What is Validation Rule? A validation rule is a piece of code that performs some check ensuring that data meets given constraints.In an enterprise application development environment, often it might require developers to have validation be performed based on some logic at several places across projects. Instead of redundant validation creation, a custom validation rule provides a library with a validation rules that can be registered and used across applications.A custom Validation is encapsulated in a reusable component so that you do not have to write it every time when you need to do input validation. Here is how we can easily implement a custom validation that checks for name of an employee to be "KING" For creating a custom Validation , 1.         Create Generic Application Workspace "CustomValidator" with the project "Model" 2.         Create an BC4J based on emp table. 3.         Create a custom validation rule.In EmpNamerule class, update the validateValue(..) method as follows:  public boolean validateValue(Object value) { EntityImpl emp = (EntityImpl)value; if(emp.getAttribute("Ename").toString().equals("KING")){ return false; } return true; } Create ADF Library: Next step would be to create ADF library. Create ADF library with name lets say testADFLibrary1.jarRegister ADF Library Next step is to register the ADF library , so that its available across the applications. Invoke the menu "Tools -> Preferences"Select the option "Business Components -> Registered Rules" from left paneClick on button "Pick Library". The dialog "Select Library" comes up with  the user library addedAdd new library' that points to the above jarCheck the checkbox "Register" and set the name for the rule Sample UsageHere is how we can easily implement a validation rule that restrict the name of the employee not to be "KING".Create new Application with BC4J based on EMP table.Create new validation under Business rule tab for Ename & select the above custom validation rule.Run the AppModule tester.

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  • Demo on Data Guard Protection From Lost-Write Corruption

    - by Rene Kundersma
    Today I received the news a new demo has been made available on OTN for Data Guard protection from lost-write corruption. Since this is a typical MAA solution and a very nice demo I decided to mention this great feature also in this blog even while it's a recommended best practice for some time. When lost writes occur an I/O subsystem acknowledges the completion of the block write even though the write I/O did not occur in the persistent storage. On a subsequent block read on the primary database, the I/O subsystem returns the stale version of the data block, which might be used to update other blocks of the database, thereby corrupting it.  Lost writes can occur after an OS or storage device driver failure, faulty host bus adapters, disk controller failures and volume manager errors. In the demo a data block lost write occurs when an I/O subsystem acknowledges the completion of the block write, while in fact the write did not occur in the persistent storage. When a primary database lost write corruption is detected by a Data Guard physical standby database, Redo Apply (MRP) will stop and the standby will signal an ORA-752 error to explicitly indicate a primary lost write has occurred (preventing corruption from spreading to the standby database). Links: MOS (1302539.1). "Best Practices for Corruption Detection, Prevention, and Automatic Repair - in a Data Guard Configuration" Demo MAA Best Practices Rene Kundersma

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  • Do you want to know more about Oracle Learning Management 12.1?

    - by anders.northeved
    Many of you have upgraded to OLM 12.1 or are in the process of doing so. We have been asked if it was possible to arrange a couple of webcast describing the new functions and features in OLM 12.1 – and of course it is. We will do two webcasts: One on the new features and functions in OLM 12.1.1 and another one on the new features and functions in OLM 12.1.2 + 12.1.3. Each webcast will last for approx. 45 min and afterwards there will be a Q&A session for as long as you have questions! Everybody interested in participating is very welcome to join. Just send an e-mail with the following information to [email protected]: List of participants from your organization Your organization’s current status: Which OLM version you are on and if you have current upgrade plans then we’ll send you a mail with information on how to join. Webcast on OLM 12.1.1 new features: Monday 28th March 5pm CET (8.30pm IST; 4pm UK; 11am EST; 8am PST) Webcast on OLM 12.1.2+OLM 12.1.3 new features: Tuesday 29th March 5pm CET (8.30pm IST; 4pm UK; 11am EST; 8am PST) We are looking forward to your participation!

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  • Are you ready for the needed changes to your Supply Chain for 2013?

    - by Stephen Slade
    With the initiation of the Dodd-Frank Act, companies need to determine if their products contain 'conflict materials' from certain global markets as the Rep of Congo. The materials include metals such as gold, tin, tungsten and tantalum. Compaines with global sourcing face new disclosure requirements in Feb'13 related to business being done in Iran. Public companies are required to disclose to U.S. security regulators if they or their affiliates are engaged in business in Iran either directly or indirectly.  Is your supply chain compliant?  Do you have sourcing reports to validate?  Where are the materials in your chips & circuit boards coming from? In the next few weeks, responsible companies will be scrutinizing their supply chains, subs, JVs, and affiliates to search for exposure. Source: Brian Lane, Atty at Gibson Dunn Crutcher, as printed in the WSJ Tues, Dec 11, 2012 p.B8

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  • Hai mai pensato a quanto ti costa qualificare le tue opportunità commerciali?

    - by user812481
    Il successo delle attività di marketing è dovuto alla profonda conoscenza dei propri clienti: chi sono, cosa acquistano e perché, come preferiscono essere contattati. Se i dati sui clienti sono distribuiti su più sistemi, rispondere a queste domande diventa difficile ed oneroso. Hai bisogno di un mix di strumenti best-in-class per l'automazione della forza di vendita e per l'efficienza delle attività di marketing, facendo confluire i dati chiave in un unico punto di accesso, per una visione a 360 gradi dei clienti. Vorresti incrementare il ROI delle campagne di marketing, proponendo diversi messaggi in funzione dei differenti target, ottenendo così un maggior successo delle iniziative? Scopri come ottenere una conoscenza maggiore del target per creare campagne di successo, mirate e personalizzate, attraverso video in italiano e docuemtni da condividere con i vostri colleghi.

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  • Announcing Upcoming SOA and JMS Introductory Blog Posts

    - by John-Brown.Evans
    Announcing Upcoming SOA and JMS Introductory Blog Posts Beginning next week, SOA Proactive Support will begin posting a series of introductory blogs here on working with JMS in a SOA context. The posts will begin with how to set up JMS in WebLogic server, lead you through reading and writing to a JMS queue from the WLS Java samples, continue with how to access it from a SOA composite and, finally, describe how to set up and access AQ JMS (Advanced Queuing JMS) from a SOA/BPEL process. The posts will be of a tutorial nature and include step-by-step examples. Your questions and feedback are encouraged. The following topics are planned: How to Create a Simple JMS Queue in Weblogic Server 11g Using the QueueSend.java Sample Program to Send a Message to a JMS Queue Using the QueueReceive.java Sample Program to Read a Message from a JMS Queue How to Create an 11g BPEL Process Which Writes a Message Based on an XML Schema to a JMS Queue How to Create an 11g BPEL Process Which Reads a Message Based on an XML Schema from a JMS Queue How to Set Up an AQ JMS (Advanced Queueing JMS) for SOA Purposes How to Write to an AQ JMS Queue from a BPEL Process How to Read from an AQ JMS Queue from a BPEL Process

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  • Using Exception Handler in an ADF Task Flow

    - by anmprs
    Problem Statement: Exception thrown in a task flow gets wrapped in an exception that gives an unintelligible error message to the user. Figure 1 Solution 1. Over-writing the error message with a user-friendly error message. Figure 2 Steps to code 1. Generating an exception: Write a method that throws an exception and drop it in the task flow.2. Adding an Exception Handler: Write a method (example below) to overwrite the Error in the bean or data control and drop the method in the task flow. Figure 3 This method is marked as the Exception Handler by Right-Click on method > Mark Activity> Exception Handler or by the button that is displayed in this screenshot Figure 4 The Final task flow should look like this. This will overwrite the exception with the error message in figure 2. Note: There is no need for a control flow between the two method calls (as shown below). Figure 5 Solution 2: Re-Routing the task flow to display an error page Figure 6 Steps to code 1. This is the same as step 1 of solution 1.2. Adding an Exception Handler: The Exception handler is not always a method; in this case it is implemented on a task flow return.  The task flow looks like this. Figure 7 In the figure below you will notice that the task flow return points to a control flow ‘error’ in the calling task flow. Figure 8 This control flow in turn goes to a view ‘error.jsff’ which contains the error message that one wishes to display.  This can be seen in the figure below. (‘withErrorHandling’ is a  call to the task flow in figure 7) Figure 9

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  • Újabb házassági terv az adatbázis piacon: Sybase és SAP

    - by Fekete Zoltán
    Az Oracle az utóbbi évben technológiai és alkalmazás oldalon több mint 50 céget vásárolt meg, legutóbb a hardver-operációs rendszer, Java, IDM, virtualizáció és számos más téren is innovatív Sun céget. Ráadásul az Oracle best-of-breed azaz iparági vezeto cégekkel és mogoldásokkal erosíti a portfólióját. Az Oracle hosszú évek óta az adattárházak (data wrehouse) területén is a Gartner szerint a piacvezetok mágikus négyzetében van. Ennek a területnek vezeto megoldása az Oracle Database optimalizált hardveren futtatása az Exadata / Database Machine területen. Az Oracle Database mind tranzakciókezelésre mind adattárház feldolgozásra, mind ezen megoldások egy környezetben futtatására optimalizált megoldás. Az SAP korábban meglehetosen elítélte az Oracle best-of-breed felvásárlási stratégiáját, mondván az nem vezet semmire. :) Most a megmaradék önálló cégek közül a Sybase-t szemelte ki. A BBC híre. Kicsit soknak tunik az 5,8 milliárd dollár? Érdekes, hogy a cikk szerint a felvásárlási terv hírére az SAP részvény árfolyam 40 centtel esett.

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  • Linking to BIP reports from BIEE Analyses

    - by Tim Dexter
    Bryan found a great blog post from Fiston over on the OBIEEStuff blog. It covers the ability to link to a BIP report from a BIEE analyses report with the ability to pass parameters to it. I have doubled checked and you need to be on OBIEE 11.1.1.5 to see the 'Shared Report Link' mentioned in Fiston's post when you open a BIP report from the /analytics side of the house. Enjoy! OBIEE to BIP trick

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  • Announcement: New Tutorial - Using ADF Faces and ADF Controller with OEPE

    - by Juan Camilo Ruiz
    We are happy to announce the publication of our newest tutorial, that explores some of the latest features added in our OEPE 12c release for ADF Development. The tutorial walks you through the creation of an ADF application that uses the ADF Faces Rich Client components, in combination with the ADF Controler, ADF Model and JPA. By developing this tutorial you will work and understand various features added into OEPE 12c that are specific to ADF development such as: ADF taskflow editor Visual pageDefinition editor ADF integration with AppXRay Navigation across artifacts such as pages, pageDefinition, managed beans, etc. Property inspector for ADF Faces components. Stay tunned for more and exciting tutorials that explore this and much more OEPE features. And of course your feedback is always welcome!

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  • Short Season, Long Models - Dealing with Seasonality

    - by Michel Adar
    Accounting for seasonality presents a challenge for the accurate prediction of events. Examples of seasonality include: ·         Boxed cosmetics sets are more popular during Christmas. They sell at other times of the year, but they rise higher than other products during the holiday season. ·         Interest in a promotion rises around the time advertising on TV airs ·         Interest in the Sports section of a newspaper rises when there is a big football match There are several ways of dealing with seasonality in predictions. Time Windows If the length of the model time windows is short enough relative to the seasonality effect, then the models will see only seasonal data, and therefore will be accurate in their predictions. For example, a model with a weekly time window may be quick enough to adapt during the holiday season. In order for time windows to be useful in dealing with seasonality it is necessary that: The time window is significantly shorter than the season changes There is enough volume of data in the short time windows to produce an accurate model An additional issue to consider is that sometimes the season may have an abrupt end, for example the day after Christmas. Input Data If available, it is possible to include the seasonality effect in the input data for the model. For example the customer record may include a list of all the promotions advertised in the area of residence. A model with these inputs will have to learn the effect of the input. It is possible to learn it specific to the promotion – and by the way learn about inter-promotion cross feeding – by leaving the list of ads as it is; or it is possible to learn the general effect by having a flag that indicates if the promotion is being advertised. For inputs to properly represent the effect in the model it is necessary that: The model sees enough events with the input present. For example, by virtue of the model lifetime (or time window) being long enough to see several “seasons” or by having enough volume for the model to learn seasonality quickly. Proportional Frequency If we create a model that ignores seasonality it is possible to use that model to predict how the specific person likelihood differs from average. If we have a divergence from average then we can transfer that divergence proportionally to the observed frequency at the time of the prediction. Definitions: Ft = trailing average frequency of the event at time “t”. The average is done over a suitable period of to achieve a statistical significant estimate. F = average frequency as seen by the model. L = likelihood predicted by the model for a specific person Lt = predicted likelihood proportionally scaled for time “t”. If the model is good at predicting deviation from average, and this holds over the interesting range of seasons, then we can estimate Lt as: Lt = L * (Ft / F) Considering that: L = (L – F) + F Substituting we get: Lt = [(L – F) + F] * (Ft / F) Which simplifies to: (i)                  Lt = (L – F) * (Ft / F)  +  Ft This latest expression can be understood as “The adjusted likelihood at time t is the average likelihood at time t plus the effect from the model, which is calculated as the difference from average time the proportion of frequencies”. The formula above assumes a linear translation of the proportion. It is possible to generalize the formula using a factor which we will call “a” as follows: (ii)                Lt = (L – F) * (Ft / F) * a  +  Ft It is also possible to use a formula that does not scale the difference, like: (iii)               Lt = (L – F) * a  +  Ft While these formulas seem reasonable, they should be taken as hypothesis to be proven with empirical data. A theoretical analysis provides the following insights: The Cumulative Gains Chart (lift) should stay the same, as at any given time the order of the likelihood for different customers is preserved If F is equal to Ft then the formula reverts to “L” If (Ft = 0) then Lt in (i) and (ii) is 0 It is possible for Lt to be above 1. If it is desired to avoid going over 1, for relatively high base frequencies it is possible to use a relative interpretation of the multiplicative factor. For example, if we say that Y is twice as likely as X, then we can interpret this sentence as: If X is 3%, then Y is 6% If X is 11%, then Y is 22% If X is 70%, then Y is 85% - in this case we interpret “twice as likely” as “half as likely to not happen” Applying this reasoning to (i) for example we would get: If (L < F) or (Ft < (1 / ((L/F) + 1)) Then  Lt = L * (Ft / F) Else Lt = 1 – (F / L) + (Ft * F / L)  

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  • A Year of Upheaval for Procurement Professionals-New Report & Webinar

    - by DanAshton
    2013 will see significant changes in priorities and initiatives among procurement professionals as they balance the needs of their enterprises with efforts to add capabilities for long-term procurement success. In response, procurement managers will expand their organization’s spend influence via supplier relationship management, sourcing, and category management. These findings are part of the new report, “2013 Procurement Key Issues: Going Deeper and Broader to Deliver Borderless Procurement Services,” by the Hackett Group. The authors say that compared to similar studies over the last five years, 2013 is registering the greatest year-over-year changes in priorities for both procurement performance and capability issues. Three Important PrioritiesThe survey found that procurement professionals are focusing their attention in three key areas. Cost reduction. Controlling expenses is always a high priority, but with 90 percent of the respondents now placing this at the top of their performance concerns, the Hackett analysts say this “clearly shows that, for better or worse, cost reduction is king” in 2013. Technology innovation. Innovation has shot up significantly in the priority rankings and is now tied with spend influence for second among procurement professionals. Sixty-five percent of the survey participants said pursuing game-changing innovation and technology is a top procurement initiative. Managing supply risk. This area registered a sharp rise in importance because of its role in protecting profits, Hackett says. Supplier compliance with performance milestones and regulatory requirements is receiving particular attention, with an emphasis on efficient management of cross-functional workflows. “These processes create headaches for suppliers and buyers alike, and can detract from strategic value creation when participants are bogged down in processing paper and spreadsheets,” the report explains.  For more insights into the current state of the procurement industry, download the full report, “2013 Procurement Key Issues: Going Deeper and Broader to Deliver Borderless Procurement Services” and watch a Webcast featuring Global Procurement Advisory Practice Leader for The Hackett Group, Chis Sawchuk, and Managing Supervisor of Supply Chain Processes and Systems for Ameren, Chris Nelms. 

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  • Update: GTAS and EBS

    - by jeffrey.waterman
    Provided below are updated target date timeframes for provided patches for upcoming legislative enhancements.   Dates have been pushed out from previous dates provided due to changes in Treasury mandatory dates.  Mandatory dates for GTAS and IPAC have changes since previous target dates for patches were provided.   These are target dates, not commitments to deliver functionality. Deliverable Target Timeframes for Customer Patches Comments R12 GTAS Configuration Apr 2012 Patch is available GTAS Key Processes Oct/Nov 2012 Includes GTAS processes necessary to create the GTAS interface file, migration of FACTS balances to GTAS, GTAS Trial Balance, and GTAS Transaction Register. GTAS Reports Nov/Dec 2012 GTAS Trial Balance GTAS Transaction Register Capture of Trading Partner TAS/BETC Apr/May 2013 Includes modification necessary to capture BETC, Trading Partner TAS/BETC on relevant transactions. GTAS Other Processes May/Jun  2013 Includes GTAS Customer and Vendor  update processes. IPAC Aug/Sep Includes modification required to IPAC to accommodate Componentized TAS and BETC. 11i GTAS Configuration May 2012 Patch is available GTAS Key Processes Nov/Dec 2012 Includes GTAS processes necessary to create the GTAS interface file, migration of FACTS balances to GTAS, GTAS Trial Balance, and GTAS Transaction Register. GTAS Reports Dec/Jan 2012 GTAS Trial Balance GTAS Transaction Register Capture of Trading Partner TAS/BETC May/Jun 2013 Includes modification necessary to capture BETC, Trading Partner TAS/BETC on relevant transactions. GTAS Other Processes Jun/Jul 2013 Includes GTAS Customer and Vendor  update processes. IPAC Sep/Oct 2013 Includes modification required to IPAC to accommodate Componentized TAS and BETC.

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  • Adatlopások, adatszivárgások és más incidensek az USA egészségügyében

    - by user645740
    A The New York Times blogján olvastam a hírt, hogy ismét adatlopás történt, most 4,5 milló páciens adatát szerezték meg hackerek 2014 április és június között, most a Community Health Systems rendszerébol. A cég 206 kórházat üzemeltet. Az ellopott adatok tartalmazzák a születési dátumokat, telefonszámokat, stb. is, viszont most egészségügyi állapotukra, kezelésükre vonatkozó adatot nem szereztek meg. A cikk itt olvasható: Hack of Community Health Systems Affects 4.5 Million Patients: http://bits.blogs.nytimes.com/2014/08/18/hack-of-community-health-systems-affects-4-5-million-patients/ Az USÁ-ban törvényi kötelezettségnek megfeleloen publikálni kell minden biztonsági incidenst, ami legalább 500 személy érint. Ezeket az adatokat a következo oldalon tekinthetjük meg: http://www.hhs.gov/ocr/privacy/hipaa/administrative/breachnotificationrule/breachtool.htmlCsak 2014-ben legalább 75 incidens volt, összesen több mint 1080 incidens van az adathalmazban. Sokszor papír alapon szivárogtak ki az infók, vagy nem titkosított USB drive, laptop tunt el, stb, illetve hacking is jó néhányszor elofordult.

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  • How to Waste Your Marketing Budget

    - by Mike Stiles
    Philosophers have long said if you find out where a man’s money is, you’ll know where his heart is. Find out where money in a marketing budget is allocated, and you’ll know how adaptive and ready that company is for the near future. Marketing spends are an investment. Not unlike buying stock, the money is placed in areas the marketer feels will yield the highest return. Good stock pickers know the lay of the land, the sectors, the companies, and trends. Likewise, good marketers should know the media available to them, their audience, what they like & want, what they want their marketing to achieve…and trends. So what are they doing? And how are they doing? A recent eTail report shows nearly half of retailers planned on focusing on SEO, SEM, and site research technologies in the coming months. On the surface, that’s smart. You want people to find you. And you’re willing to let the SEO tail wag the dog and dictate the quality (or lack thereof) of your content such as blogs to make that happen. So search is prioritized well ahead of social, multi-channel initiatives, email, even mobile - despite the undisputed explosive growth and adoption of it by the public. 13% of retailers plan to focus on online video in the next 3 months. 29% said they’d look at it in 6 months. Buying SEO trickery is easy. Attracting and holding an audience with wanted, relevant content…that’s the hard part. So marketers continue to kick the content can down the road. Pretty risky since content can draw and bind customers to you. Asked to look a year ahead, retailers started thinking about CRM systems, customer segmentation, and loyalty, (again well ahead of online video, social and site personalization). What these investors are missing is social is spreading across every function of the enterprise and will be a part of CRM, personalization, loyalty programs, etc. They’re using social for engagement but not for PR, customer service, and sales. Mistake. Allocations are being made seemingly blind to the trends. Even more peculiar are the results of an analysis Mary Meeker of Kleiner Perkins made. She looked at how much time people spend with media types and how marketers are investing in those media. 26% of media consumption is online, marketers spend 22% of their ad budgets there. 10% of media time is spent with mobile, but marketers are spending 1% of their ad budgets there. 7% of media time is spent with print, but (get this) marketers spend 25% of their ad budgets there. It’s like being on Superman’s Bizarro World. Mary adds that of the online spending, most goes to search while spends on content, even ad content, stayed flat. Stock pickers know to buy low and sell high. It means peering with info in hand into the likely future of a stock and making the investment in it before it peaks. Either marketers aren’t believing the data and trends they’re seeing, or they can’t convince higher-ups to acknowledge change and adjust their portfolios accordingly. Follow @mikestilesImage via stock.xchng

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  • Restrict number of characters to be typed for af:autoSuggestBehavior

    - by Arunkumar Ramamoorthy
    When using AutoSuggestBehavior for a UI Component, the auto suggest list is displayed as soon as the user starts typing in the field. In this article, we will find how to restrict the autosuggest list to be displayed till the user types in couple of characters. This would be more useful in the low latency networks and also the autosuggest list is bigger. We could display a static message to let the user know that they need to type in more characters to get a list for picking a value from. Final output we would expect is like the below image Lets see how we can implement this. Assuming we have an input text for the users to enter the country name and an autosuggest behavior is added to it. <af:inputText label="Country" id="it1"> <af:autoSuggestBehavior /> </af:inputText> Also, assuming we have a VO (we'll name it as CountryView for this example), with a view criteria to filter out the VO based on the bind variable passed. Now, we would generate View Impl class from the java node (including bind variables) and then expose the setter method of the bind variable to client interface. In the View layer, we would create a tree binding for the VO and the method binding for the setter method of the bind variable exposed above, in the pagedef file As we've already added an input text and an autosuggestbehavior for the test, we would not need to build the suggested items for the autosuggest list.Let us add a method in the backing bean to return us List of select items to be bound to the autosuggest list. padding: 5px; background-color: #fbfbfb; min-height: 40px; width: 544px; height: 168px; overflow: auto;"> public List onSuggest(String searchTerm) { ArrayList<SelectItem> selectItems = new ArrayList<SelectItem>(); if(searchTerm.length()>1) { //get access to the binding context and binding container at runtime BindingContext bctx = BindingContext.getCurrent(); BindingContainer bindings = bctx.getCurrentBindingsEntry(); //set the bind variable value that is used to filter the View Object //query of the suggest list. The View Object instance has a View //Criteria assigned OperationBinding setVariable = (OperationBinding) bindings.get("setBind_CountryName"); setVariable.getParamsMap().put("value", searchTerm); setVariable.execute(); //the data in the suggest list is queried by a tree binding. JUCtrlHierBinding hierBinding = (JUCtrlHierBinding) bindings.get("CountryView1"); //re-query the list based on the new bind variable values hierBinding.executeQuery(); //The rangeSet, the list of queries entries, is of type //JUCtrlValueBndingRef. List<JUCtrlValueBindingRef> displayDataList = hierBinding.getRangeSet(); for (JUCtrlValueBindingRef displayData : displayDataList){ Row rw = displayData.getRow(); //populate the SelectItem list selectItems.add(new SelectItem( (String)rw.getAttribute("Name"), (String)rw.getAttribute("Name"))); } } else{ SelectItem a = new SelectItem("","Type in two or more characters..","",true); selectItems.add(a); } return selectItems; } So, what we are doing in the above method is, to check the length of the search term and if it is more than 1 (i.e 2 or more characters), the return the actual suggest list. Otherwise, create a read only select item new SelectItem("","Type in two or more characters..","",true); and add it to the list of suggested items to be displayed. The last parameter for the SelectItem (boolean) is to make it as readOnly, so that users would not be able to select this static message from the displayed list. Finally, bind this method to the input text's autosuggestbehavior's suggestedItems property. <af:inputText label="Country" id="it1"> <af:autoSuggestBehavior suggestedItems="#{AutoSuggestBean.onSuggest}"/> </af:inputText>

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  • Feeling Old? Before Middleware, Gamification, and MacBook Airs

    - by ultan o'broin
    Think we're done with green screens in the enterprise apps world? Fusion User Experience Advocate Debra Lilley (@debralilley) drew my attention to this super retro iPad terminal emulator app being used by a colleague to connect to JDE. Yes, before Middleware, this is how you did it. Surely the ultimate in hipster retro coexistence? Mind you, I've had to explain to lots of people I showed this to just what Telnet and IBM AS/400 are (or were). MochaSoft TN5250 Terminal Emulator iPad App This OG way of connecting to apps is a timely reminder not to forget all those legacy apps out there and the UX aspect to adoption and change. If a solution already works well and there's an emotional attachment to it, then the path to upgrade needs to be very clear and have valuable and demonstrable ROI for users and decision makers, a path that spans emotion and business benefits. On a pure usability front, that old school charm of the character-based green glow look 'n' feel could be easily done as a skin, personalizing an application for the user so that they feel comfortable with it. Fun too particularly in the mobile and BYOD space! In fact, there is a thriving retro apps market out there as illustrated by this spiffy lunar lander app (hat tip: John Cartan), part of a whole set of Atari's greatest hits available for iOS. Lunar Lander App And of course, there's the iOS version of Pong. Check out this retro Apple Mac SE/30 too. I actually remember using one of these. I have an Apple Mac Plus somewhere in my parents' house. I tried it out recently, and it actually booted, although all it was good for was playing the onboard games. Looking at all these olde worlde things makes me feel very old, but kinda warm inside too. The latter is a key part of today's applications user experience too.

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