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  • Maintaining Revision Levels

    - by kyle.hatlestad
    A question that came up on an earlier blog post was how to limit the number of revisions on a piece of content. UCM does not inherently enforce any sort of limit on how many revisions you can have. It's unlimited. In some cases, there may be content that goes through lots of changes, but there just simply isn't a need to keep all of its revisions around. Deleting those revisions through the content information screen can be very cumbersome. And going through the Repository Manager applet can take time as well to filter and find the revisions to get rid of. But there is an easier way through the Archiver. The Export Query criteria in Archiver includes a very handy field called 'Revision Rank'. With revision labels, they typically go up as new revisions come in (e.g. 1, 2, 3, 4, etc...). But you can't really use this field to tell it to keep the top 5 revisions. Those top 5 revision numbers are always going up. But revision rank goes the opposite direction. The very latest revision is always 0. The previous revision to that is 1. Previous revision to that is 2. And so on and so forth. With revision rank, you can set your query to look for any Revision Rank greater or equal to 5. Now as older revisions move down the line, their revision rank gets higher and higher until they reach that threshold. Then when you run that archive export, you can choose to delete and remove those revisions. Running that export in Archiver is normally a manual process. But with Idc Command, you can script the process and have it run automatically from the server. Idc Command is a utility that allows you to run any of the content server services via the command line. You basically feed it a text file with the services and parameters defined along with the user to run it as. The Idc Command executable is located within the \bin\ directory: $ ./IdcCommand -f DeleteOlderRevisions.txt -u sysadmin -l delete_revisions.log In this example, our IdcCommand file to run the export and do the deletions would look like: IdcService=EXPORT_ARCHIVE aArchiveName=DeleteOlderRevisions aDoDelete=1 IDC_Name=idc dataSource=RevisionIDs <<EOD>> You can then use automated scheduling routines in the OS to run the command and command file at the frequency needed. Remember that you are deleting the revisions from within UCM, but they are still getting placed within the archive. So you will need to delete those batches to have them fully removed (or re-import if you need to recover them). For more information about Idc Command, you can find that in the Idc Command Reference Guide.

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  • How-to dynamically filter model-driven LOV

    - by Frank Nimphius
    Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Often developers need to filter a LOV query with information obtained from an ADF Faces form or other where. The sample below shows how to define a launch popup listener configured on the launchPopupListener property of the af:inputListOfValues component to filter a list of values. <af:inputListOfValues id="departmentIdId"    value="#{bindings.DepartmentId.inputValue}"                                          model="#{bindings.DepartmentId.listOfValuesModel}"    launchPopupListener="#{PopupLauncher.onPopupLaunch}" … >         … </af:inputListOfValues> A list of values is queried using a search binding that gets created in the PageDef file of a view when a lis of value component gets added. The managed bean code below looks this search binding up to then add a view criteria that filters the query. Note: There is no public API yet available for the FacesCtrlLOVBinding class, which is why I use the internal package class it in the example. public void onPopupLaunch(LaunchPopupEvent launchPopupEvent) {   BindingContext bctx = BindingContext.getCurrent();   BindingContainer bindings = bctx.getCurrentBindingsEntry();   FacesCtrlLOVBinding lov =        (FacesCtrlLOVBinding)bindings.get("DepartmentId");   ViewCriteriaManager vcm =   lov.getListIterBinding().getViewObject().getViewCriteriaManager();             //make sure the view criteria is cleared   vcm.removeViewCriteria(vcm.DFLT_VIEW_CRITERIA_NAME);   //create a new view criteria   ViewCriteria vc =          new ViewCriteria(lov.getListIterBinding().getViewObject());   //use the default view criteria name   //"__DefaultViewCriteria__"   vc.setName(vcm.DFLT_VIEW_CRITERIA_NAME);   //create a view criteria row for all queryable attributes   ViewCriteriaRow vcr = new ViewCriteriaRow(vc);   //for this sample I set the query filter to DepartmentId 60.   //You may determine it at runtime by reading it from a managed bean   //or binding layer   vcr.setAttribute("DepartmentId", 60);   //also note that the view criteria row consists of all attributes   //that belong to the LOV list view object, which means that you can   //filter on multiple attributes   vc.addRow(vcr);             lov.getListIterBinding().getViewObject().applyViewCriteria(vc); }  Note: Instead of using the vcm.DFLT_VIEW_CRITERIA_NAME name you can also define a custom name for the view criteria.

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  • MySQL Cluster 7.2: Over 8x Higher Performance than Cluster 7.1

    - by Mat Keep
    0 0 1 893 5092 Homework 42 11 5974 14.0 Normal 0 false false false EN-US JA X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:12.0pt; font-family:Cambria; mso-ascii-font-family:Cambria; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Cambria; mso-hansi-theme-font:minor-latin; mso-ansi-language:EN-US;} Summary The scalability enhancements delivered by extensions to multi-threaded data nodes enables MySQL Cluster 7.2 to deliver over 8x higher performance than the previous MySQL Cluster 7.1 release on a recent benchmark What’s New in MySQL Cluster 7.2 MySQL Cluster 7.2 was released as GA (Generally Available) in February 2012, delivering many enhancements to performance on complex queries, new NoSQL Key / Value API, cross-data center replication and ease-of-use. These enhancements are summarized in the Figure below, and detailed in the MySQL Cluster New Features whitepaper Figure 1: Next Generation Web Services, Cross Data Center Replication and Ease-of-Use Once of the key enhancements delivered in MySQL Cluster 7.2 is extensions made to the multi-threading processes of the data nodes. Multi-Threaded Data Node Extensions The MySQL Cluster 7.2 data node is now functionally divided into seven thread types: 1) Local Data Manager threads (ldm). Note – these are sometimes also called LQH threads. 2) Transaction Coordinator threads (tc) 3) Asynchronous Replication threads (rep) 4) Schema Management threads (main) 5) Network receiver threads (recv) 6) Network send threads (send) 7) IO threads Each of these thread types are discussed in more detail below. MySQL Cluster 7.2 increases the maximum number of LDM threads from 4 to 16. The LDM contains the actual data, which means that when using 16 threads the data is more heavily partitioned (this is automatic in MySQL Cluster). Each LDM thread maintains its own set of data partitions, index partitions and REDO log. The number of LDM partitions per data node is not dynamically configurable, but it is possible, however, to map more than one partition onto each LDM thread, providing flexibility in modifying the number of LDM threads. The TC domain stores the state of in-flight transactions. This means that every new transaction can easily be assigned to a new TC thread. Testing has shown that in most cases 1 TC thread per 2 LDM threads is sufficient, and in many cases even 1 TC thread per 4 LDM threads is also acceptable. Testing also demonstrated that in some instances where the workload needed to sustain very high update loads it is necessary to configure 3 to 4 TC threads per 4 LDM threads. In the previous MySQL Cluster 7.1 release, only one TC thread was available. This limit has been increased to 16 TC threads in MySQL Cluster 7.2. The TC domain also manages the Adaptive Query Localization functionality introduced in MySQL Cluster 7.2 that significantly enhanced complex query performance by pushing JOIN operations down to the data nodes. Asynchronous Replication was separated into its own thread with the release of MySQL Cluster 7.1, and has not been modified in the latest 7.2 release. To scale the number of TC threads, it was necessary to separate the Schema Management domain from the TC domain. The schema management thread has little load, so is implemented with a single thread. The Network receiver domain was bound to 1 thread in MySQL Cluster 7.1. With the increase of threads in MySQL Cluster 7.2 it is also necessary to increase the number of recv threads to 8. This enables each receive thread to service one or more sockets used to communicate with other nodes the Cluster. The Network send thread is a new thread type introduced in MySQL Cluster 7.2. Previously other threads handled the sending operations themselves, which can provide for lower latency. To achieve highest throughput however, it has been necessary to create dedicated send threads, of which 8 can be configured. It is still possible to configure MySQL Cluster 7.2 to a legacy mode that does not use any of the send threads – useful for those workloads that are most sensitive to latency. The IO Thread is the final thread type and there have been no changes to this domain in MySQL Cluster 7.2. Multiple IO threads were already available, which could be configured to either one thread per open file, or to a fixed number of IO threads that handle the IO traffic. Except when using compression on disk, the IO threads typically have a very light load. Benchmarking the Scalability Enhancements The scalability enhancements discussed above have made it possible to scale CPU usage of each data node to more than 5x of that possible in MySQL Cluster 7.1. In addition, a number of bottlenecks have been removed, making it possible to scale data node performance by even more than 5x. Figure 2: MySQL Cluster 7.2 Delivers 8.4x Higher Performance than 7.1 The flexAsynch benchmark was used to compare MySQL Cluster 7.2 performance to 7.1 across an 8-node Intel Xeon x5670-based cluster of dual socket commodity servers (6 cores each). As the results demonstrate, MySQL Cluster 7.2 delivers over 8x higher performance per data nodes than MySQL Cluster 7.1. More details of this and other benchmarks will be published in a new whitepaper – coming soon, so stay tuned! In a following blog post, I’ll provide recommendations on optimum thread configurations for different types of server processor. You can also learn more from the Best Practices Guide to Optimizing Performance of MySQL Cluster Conclusion MySQL Cluster has achieved a range of impressive benchmark results, and set in context with the previous 7.1 release, is able to deliver over 8x higher performance per node. As a result, the multi-threaded data node extensions not only serve to increase performance of MySQL Cluster, they also enable users to achieve significantly improved levels of utilization from current and future generations of massively multi-core, multi-thread processor designs.

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  • PHP oci8 dll not loading on windows 64 bit XP. What am I doing wrong?

    - by user47354
    on win 64, I installed apache, php etc. Everything works fine, except the oracle part. I can connect to oracle from sql developer which means my tnsnames.ora file is correct. When apache starts, there are no errors in the logs. But when I try to connect to oracle from my database, oracle module php_oci8.dll is not loaded. What am I doing wrong? The oci8.dll line in php.ini is there, it is uncommented There are no errors in the apache logs extension_dir in php.ini file points to the correct location

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  • Patching and PCI Compliance

    - by Joel Weise
    One of my friends and master of the security universe, Darren Moffat, pointed me to Dan Anderson's blog the other day.  Dan went to Toorcon which is a security conference where he went to a talk on security patching titled, "Stop Patching, for Stronger PCI Compliance".  I realize that often times speakers will use a headline grabbing title to create interest in their talk and this one certainly got my attention.  I did not go to the conference and did not see the presentation, so I can only go by what is in the Toorcon agenda summary and on Dan's blog, but the general statement to stop patching for stronger PCI compliance seems a bit misleading to me.  Clearly patching is important to all systems management and should be a part of any organization's security hygiene.  Further, PCI does require the patching of systems to maintain compliance.  So it's important to mention that organizations should not simply stop patching their systems; and I want to believe that was not the speakers intent. So let's look at PCI requirement 6: "Unscrupulous individuals use security vulnerabilities to gain privileged access to systems. Many of these vulnerabilities are fixed by vendor- provided security patches, which must be installed by the entities that manage the systems. All critical systems must have the most recently released, appropriate software patches to protect against exploitation and compromise of cardholder data by malicious individuals and malicious software." Notice the word "appropriate" in the requirement.  This is stated to give organizations some latitude and apply patches that make sense in their environment and that target the vulnerabilities in question.  Haven't we all seen a vulnerability scanner throw a false positive and flag some module and point to a recommended patch, only to realize that the module doesn't exist on our system?  Applying such a patch would obviously not be appropriate.  This does not mean an organization can ignore the fact they need to apply security patches.  It's pretty clear they must.  Of course, organizations have other options in terms of compliance when it comes to patching.  For example, they could remove a system from scope and make sure that system does not process or contain cardholder data.  [This may or may not be a significant undertaking.  I just wanted to point out that there are always options available.] PCI DSS requirement 6.1 also includes the following note: "Note: An organization may consider applying a risk-based approach to prioritize their patch installations. For example, by prioritizing critical infrastructure (for example, public-facing devices and systems, databases) higher than less-critical internal devices, to ensure high-priority systems and devices are addressed within one month, and addressing less critical devices and systems within three months." Notice there is no mention to stop patching one's systems.  And the note also states organization may apply a risk based approach. [A smart approach but also not mandated].  Such a risk based approach is not intended to remove the requirement to patch one's systems.  It is meant, as stated, to allow one to prioritize their patch installations.   So what does this mean to an organization that must comply with PCI DSS and maintain some sanity around their patch management and overall operational readiness?  I for one like to think that most organizations take a common sense and balanced approach to their business and security posture.  If patching is becoming an unbearable task, review why that is the case and possibly look for means to improve operational efficiencies; but also recognize that security is important to maintaining the availability and integrity of one's systems.  Likewise, whether we like it or not, the cyber-world we live in is getting more complex and threatening - and I dont think it's going to get better any time soon.

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  • FairScheduling Conventions in Hadoop

    - by dan.mcclary
    While scheduling and resource allocation control has been present in Hadoop since 0.20, a lot of people haven't discovered or utilized it in their initial investigations of the Hadoop ecosystem. We could chalk this up to many things: Organizations are still determining what their dataflow and analysis workloads will comprise Small deployments under tests aren't likely to show the signs of strains that would send someone looking for resource allocation options The default scheduling options -- the FairScheduler and the CapacityScheduler -- are not placed in the most prominent position within the Hadoop documentation. However, for production deployments, it's wise to start with at least the foundations of scheduling in place so that you can tune the cluster as workloads emerge. To do that, we have to ask ourselves something about what the off-the-rack scheduling options are. We have some choices: The FairScheduler, which will work to ensure resource allocations are enforced on a per-job basis. The CapacityScheduler, which will ensure resource allocations are enforced on a per-queue basis. Writing your own implementation of the abstract class org.apache.hadoop.mapred.job.TaskScheduler is an option, but usually overkill. If you're going to have several concurrent users and leverage the more interactive aspects of the Hadoop environment (e.g. Pig and Hive scripting), the FairScheduler is definitely the way to go. In particular, we can do user-specific pools so that default users get their fair share, and specific users are given the resources their workloads require. To enable fair scheduling, we're going to need to do a couple of things. First, we need to tell the JobTracker that we want to use scheduling and where we're going to be defining our allocations. We do this by adding the following to the mapred-site.xml file in HADOOP_HOME/conf: <property> <name>mapred.jobtracker.taskScheduler</name> <value>org.apache.hadoop.mapred.FairScheduler</value> </property> <property> <name>mapred.fairscheduler.allocation.file</name> <value>/path/to/allocations.xml</value> </property> <property> <name>mapred.fairscheduler.poolnameproperty</name> <value>pool.name</value> </property> <property> <name>pool.name</name> <value>${user.name}</name> </property> What we've done here is simply tell the JobTracker that we'd like to task scheduling to use the FairScheduler class rather than a single FIFO queue. Moreover, we're going to be defining our resource pools and allocations in a file called allocations.xml For reference, the allocation file is read every 15s or so, which allows for tuning allocations without having to take down the JobTracker. Our allocation file is now going to look a little like this <?xml version="1.0"?> <allocations> <pool name="dan"> <minMaps>5</minMaps> <minReduces>5</minReduces> <maxMaps>25</maxMaps> <maxReduces>25</maxReduces> <minSharePreemptionTimeout>300</minSharePreemptionTimeout> </pool> <mapreduce.job.user.name="dan"> <maxRunningJobs>6</maxRunningJobs> </user> <userMaxJobsDefault>3</userMaxJobsDefault> <fairSharePreemptionTimeout>600</fairSharePreemptionTimeout> </allocations> In this case, I've explicitly set my username to have upper and lower bounds on the maps and reduces, and allotted myself double the number of running jobs. Now, if I run hive or pig jobs from either the console or via the Hue web interface, I'll be treated "fairly" by the JobTracker. There's a lot more tweaking that can be done to the allocations file, so it's best to dig down into the description and start trying out allocations that might fit your workload.

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  • ArchBeat Link-o-Rama for 2012-03-28

    - by Bob Rhubart
    Beware the 'Facebook Effect' when service-orienting information technology | Joe McKenrick www.zdnet.com Experiences seen with Facebook provide a fair warning to shared-service providers in enterprises. Cookbook: SES and UCM setup | George Maggessy blogs.oracle.com WebCenter A-Team member George Maggessy guides you through setting up the integration between UCM and SES. Using Oracle VM with Amazon EC2 | Marc Fielding www.pythian.com "If you’re planning on running Oracle VM with Amazon EC2, there are some important limitations you should know about," says Pythian's Marc Fielding. Oracle Enterprise Pack for Eclipse 12.1.1 update on OTN blogs.oracle.com Oracle Enterprise Pack for Eclipse (OEPE) 12.1.1.0.1 was released to OTN last week with support for new standards and several new features. Thought for the Day "If the mind really is the finest computer, then there are a lot of people out there who need to be rebooted." — Tim Bryce

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  • Developing an Implementation Plan with Iterations by Russ Pitts

    - by user535886
    Developing an Implementation Plan with Iterations by Russ Pitts  Ok, so you have come to grips with understanding that applying the iterative concept, as defined by OUM is simply breaking up the project effort you have estimated for each phase into one or more six week calendar duration blocks of work. Idea being the business user(s) or key recipient(s) of work product(s) being developed never go longer than six weeks without having some sort of review or prototyping of the work results for an iteration…”think-a-little”, “do-a-little”, and “show-a-little” in a six week or less timeframe…ideally the business user(s) or key recipients(s) are involved throughout. You also understand the OUM concept that you only plan for that which you have knowledge of. The concept further defined, a project plan initially is developed at a high-level, and becomes more detailed as project knowledge grows. Agreeing to this concept means you also have to admit to the fallacy that one can plan with precision beyond six weeks into a project…Anything beyond six weeks is a best guess in most cases when dealing with software implementation projects. Project planning, as defined by OUM begins with the Implementation Plan view, which is a very high-level perspective of the effort estimated for each of the five OUM phases, as well as the number of iterations within each phase. You might wonder how can you predict the number of iterations for each phase at this early point in the project. Remember project planning is not an exact science, and initially is high-level and abstract in nature, and then becomes more detailed and precise as the project proceeds. So where do you start in defining iterations for each phase for a project? The following are three easy steps to initially define the number of iterations for each phase: Step 1 => Start with identifying the known factors… …Prior to starting a project you should know: · The agreed upon time-period for an iteration (e.g 6 weeks, or 4 weeks, or…) within a phase (recommend keeping iteration time-period consistent within a phase, if not for the entire project) · The number of resources available for the project · The number of total number of man-day (effort) you have estimated for each of the five OUM phases of the project · The number of work days for a week Step 2 => Calculate the man-days of effort required for an iteration within a phase… Lets assume for the sake of this example there are 10 project resources, and you have estimated 2,536 man-days of work effort which will need to occur for the elaboration phase of the project. Let’s also assume a week for this project is defined as 5 business days, and that each iteration in the elaboration phase will last a calendar duration of 6 weeks. A simple calculation is performed to calculate the daily burn rate for a single iteration, which produces a result of… ((Number of resources * days per week) * duration of iteration) = Number of days required per iteration ((10 resources * 5 days/week) * 6 weeks) = 300 man days of effort required per iteration Step 3 => Calculate the number of iterations that can occur within a phase Next calculate the number of iterations that can occur for the amount of man-days of effort estimated for the phase being considered… (number of man-days of effort estimated / number of man-days required per iteration) = # of iterations for phase (2,536 man-days of estimated effort for phase / 300 man days of effort required per iteration) = 8.45 iterations, which should be rounded to a whole number such as 9 iterations* *Note - It is important to note this is an approximate calculation, not an exact science. This particular example is a simple one, which assumes all resources are utilized throughout the phase, including tech resources, etc. (rounding down or up to a whole number based on project factor considerations). It is also best in many cases to round up to higher number, as this provides some calendar scheduling contingency.

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  • OWSM Policy Repository in JDeveloper - Tips & Tricks - 11g

    - by Prakash Yamuna
    In this blog post I discussed about the OWSM Policy Repository that is embedded in JDeveloper. However some times people may run into issues with the embedded repository. Here is screen snapshot that shows the error you may run into (click on the image for larger image): If you run into "java.lang.IllegalArgumentException: WSM-04694 : An invalid directory was provided to connect to a file-base MDS repository." this caused due to spaces in the folder name. Here is a quick way to workaround this issue by running "Jdeveloper.exe - su". Hope people find this useful!

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  • Future Tech Duke

    - by Tori Wieldt
    Do you like the new Duke? Have you gotten the new Duke screensaver yet? Follow @java or Like I <3 Java on Facebook and get the latest 3D, animated "Future Tech Duke" screensaver.   If you haven't already, register now to watch the global July 7 Java 7 community celebration and learn more about Java moving forward. We are looking for questions from the community to be asked during the panel Q & A. Enter your questions as a comment here, or tweet it with #java7. There's lots of great content being created for Java 7: technical articles, videos, updated web pages (can you say "layer cake?"), T-shirts, presentations, and there will be lots of Java 7 content in the new Java Magazine. See you at the Java 7 celebration event! Duke will be there!

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  • ODI 11g - Scripting a Reverse Engineer

    - by David Allan
    A common question is related to how to script the reverse engineer using the ODI SDK. This follows on from some of my posts on scripting in general and accelerated model and topology setup. Check out this viewlet here to see how to define a reverse engineering process using ODI's package. Using the ODI SDK, you can script this up using the OdiPackage and StepOdiCommand classes as follows;  OdiPackage pkg = new OdiPackage(folder, "Pkg_Rev"+modName);   StepOdiCommand step1 = new StepOdiCommand(pkg,"step1_cmd_reset");   step1.setCommandExpression(new Expression("OdiReverseResetTable \"-MODEL="+mod.getModelId()+"\"",null, Expression.SqlGroupType.NONE));   StepOdiCommand step2 = new StepOdiCommand(pkg,"step2_cmd_reset");   step2.setCommandExpression(new Expression("OdiReverseGetMetaData \"-MODEL="+mod.getModelId()+"\"",null, Expression.SqlGroupType.NONE));   StepOdiCommand step3 = new StepOdiCommand(pkg,"step3_cmd_reset");   step3.setCommandExpression(new Expression("OdiReverseSetMetaData \"-MODEL="+mod.getModelId()+"\"",null, Expression.SqlGroupType.NONE));   pkg.setFirstStep(step1);   step1.setNextStepAfterSuccess(step2);   step2.setNextStepAfterSuccess(step3); The biggest leap of faith for users is getting to know which SDK classes have to be used to build the objects in the design, using StepOdiCommand isn't necessarily obvious, once you see it in action though it is very simple to use. The above snippet uses an OdiModel variable named mod, its a snippet I added to the accelerated model creation script in the post linked above.

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  • Gilda Garretón, a Java Developer and Parallelism Computing Researcher

    - by Yolande
    In a new interview titled “Gilda Garretón, a Java Developer and Parallelism Computing Research,” Garretón shares her first-hand experience developing with Java and Java 7 for very large-scale integration (VLSI) of computer-aided design (CAD). Garretón gives an insightful overview of how Java is contributing to the parallelism development and to the Electric VLSI Design Systems, an open source VLSI CAD application used as a research platform for new CAD algorithms as well as the research flow for hardware test chips.  Garretón considers that parallelism programming is hard and complex, yet important developments are taking place.  "With the addition of the concurrent package in Java SE 6 and the Fork/Join feature in Java SE 7, developers have a chance to rely more on existing frameworks and dedicate more time to the essence of their parallel algorithms." Read the full article here  

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  • Database Web Service using Toplink DB Provider

    - by Vishal Jain
    With JDeveloper 11gR2 you can now create database based web services using JAX-WS Provider. The key differences between this and the already existing PL/SQL Web Services support is:Based on JAX-WS ProviderSupports SQL Queries for creating Web ServicesSupports Table CRUD OperationsThis is present as a new option in the New Gallery under 'Web Services'When you invoke the New Gallery option, it present you with three options to choose from:In this entry I will explain the options of creating service based on SQL queries and Table CRUD operations.SQL Query based Service When you select this option, on 'Next' page it asks you for the DB Conn details. You can also choose if you want SOAP 1.1 or 1.2 format. For this example, I will proceed with SOAP 1.1, the default option.On the Next page, you can give the SQL query. The wizard support Bind Variables, so you can parametrize your queries. Give "?" as a input parameter you want to give at runtime, and the "Bind Variables" button will get enabled. Here you can specify the name and type of the variable.Finish the wizard. Now you can test your service in Analyzer:See that the bind variable specified comes as a input parameter in the Analyzer Input Form:CRUD OperationsFor this, At Step 2 of Wizard, select the radio button "Generate Table CRUD Service Provider"At the next step, select the DB Connection and the table for which you want to generate the default set of operations:Finish the Wizard. Now, run the service in Analyzer for a quick check.See that all the basic operations are exposed:

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  • “Big Data” Is A Small Concept Unless You Can Apply It To The Customer Experience

    - by Michael Hylton
    There’s been a lot of recent talk in the industry about “big data”.  Much can be said about the importance of big data and the results from it, but you need to always consider the customer experience when analyzing and applying customer data. Personalization and merchandising drive the user experience.  Big data should enable you to gain valuable insight into each of your customers and apply that insight at the moment they are on your Web site, talking to one of your call center agents, or any other touchpoint.  While past customer experience is important, you need to combine that with what your customer is doing on your Web site now as well what they are doing and saying on social networking sites.  It’s key to have a 360 degree view of your customer across all of your touchpoints in order to provide that relevant and consistent experience that they come to expect when interacting with your brand. Big data can enable you to effectively market, merchandize, and recommend the right products to the right customers and the right time.  By taking customer data and applying it to product recommendations, you have an opportunity to gain a greater share of wallet through the cross-selling and up-selling of additional products and services.  You can also build sustaining loyalty programs to continue to engage with your customers throughout their long-term relationship with your brand.

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  • “Big Data” Is A Small Concept Unless You Can Apply It To The Customer Experience

    - by Michael Hylton
    There’s been a lot of recent talk in the industry about “big data”.  Much can be said about the importance of big data and the results from it, but you need to always consider the customer experience when analyzing and applying customer data. Personalization and merchandising drive the user experience.  Big data should enable you to gain valuable insight into each of your customers and apply that insight at the moment they are on your Web site, talking to one of your call center agents, or any other touchpoint.  While past customer experience is important, you need to combine that with what your customer is doing on your Web site now as well what they are doing and saying on social networking sites.  It’s key to have a 360 degree view of your customer across all of your touchpoints in order to provide that relevant and consistent experience that they come to expect when interacting with your brand. Big data can enable you to effectively market, merchandize, and recommend the right products to the right customers and the right time.  By taking customer data and applying it to product recommendations, you have an opportunity to gain a greater share of wallet through the cross-selling and up-selling of additional products and services.  You can also build sustaining loyalty programs to continue to engage with your customers throughout their long-term relationship with your brand.

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  • Podcast Show Notes: William Ulrich and Neal McWhorter on Business Architecture

    - by Bob Rhubart
    The latest ArchBeat podcast program features a four-part conversation with William Ulrich and Neal McWhorter, the authors of Business Architecture: The Art and Practice of Business Transformation, available from Meghan-Kiffer Press. Listen to Part 1 Bill and Neal cover the basics and discuss the effects of the lack of business architecture on organizations. Listen to Part 2 (Jan 19) What really happens to the billions of dollars annually invested in IT. Listen to Part 3 (Jan 26) Why the IT and business sides of many organizations can’t play nice. Listen to Part 4 (Feb 2) How IT architects and business architects can work together to get the ship back on course and keep it there. Connect William Ulrich Website | LinkedIn | Business Architecture Guild Neal McWhorter Website | LinkedIn | Business Architecture Group on OMG Coming Soon Bob Hensle, Director, Oracle Enterprise Architecture Group, discusses the recently launched IT Solutions from Oracle (ITSO) library of documents. Excerpts from a recent OTN Architect Community Virtual Meet-up. Stay tuned: RSS del.icio.us Tags: business architecture,enterprise architecture,arch2arch,archbeat,podcast,business transformation,oracle,oracle technology network Technorati Tags: business architecture,enterprise architecture,arch2arch,archbeat,podcast,business transformation,oracle,oracle technology network

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  • Portal 11.1.1.4 Certified with E-Business Suite

    - by Steven Chan
    Oracle Portal 11g allows you to build, deploy, and manage enterprise portals running on Oracle WebLogic Server.  Oracle Portal 11g includes integration with Oracle WebCenter Services 11g and BPEL, support for open portlet standards JSR 168, WSRP 2.0, and JSR 301.Portal 11g (11.1.1.4) is now certified with Oracle E-Business Suite Release.  Portal 11.1.1.4 is part of Oracle Fusion Middleware 11g Release 1 Version 11.1.1.4.0, also known as FMW 11g Patchset 3.  Certified E-Business Suite releases are:EBS Release 11i 11.5.10.2 + ATG RUP 7 and higherEBS Release 12.0.6 and higherEBS Release 12.1.1 and higherIf you're running a previous version of Portal, there are a number of certified and supported upgrade paths to Portal 11g (11.1.1.4):

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  • MySQL Connect Conference: My Experience

    - by Hema Sridharan
    It was a great experience to attend the MySQL Connect Conference for the first time ever. Personally I was very much enthralled to present about "How to make MySQL Backups" besides attending different sessions to absorb more knowledge about the technical prospects of MySQL. One of the agenda items in my presentation was "MySQL Enterprise Backup" functionality and features. There were total of 40 attendees in the session, who were very much interested about the MySQL Enterprise Backup product and gave positive feedback as well as areas of improvements on our product. Some of our features brought lot of excitement and smile amongst our customers including,1. Performance improvements in MEB 3.8.02. Incremental Base option from MEB 3.7.1 where there is no need to specify the directory name of the previous backup to fetch the lsn values and instead can directly fetch from backup_history table using --incremental-base=history: last_backup3. only-innodb-with-frm option introduced in MEB 3.7 version. A true online hot backup of InnoDB tables.I also attended a session with similar topic "MEB Best Practices" conducted by Sanjay Manwani, where he double clicked all the features and best strategies of backup & restore. I also got an opportunity to attend other sessions including,* Enabling the new generation of web and cloud services with MySQL 5.6 replication* Getting the most out of MySQL with MySQL Workbench* InnoDB compression for OLTP* Scaling for the Web and Cloud with MySQL replication.Above all, had some special moments in the conference including meeting some of the executives / colleagues for the first time f2f. On a whole, the first MySQL Connect conference was a great success in terms of manifesting the features of our products, direct feedback from customer and team building.  We also had some applauding yahoo moments when Tomas Ulin announced different releases including MySQL 5.6 RC, Connector Python 1.0 and ODBC 5.2 release, MySQL Cluster 7.3, additions to MySQL Enterprise edition etc.

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  • Webcast Replay Available: E-Business Suite Release 12.1 Upgrade Best Practices - Technical Insight

    - by BillSawyer
    I am pleased to release the replay and presentation for the latest ATG Live Webcast: E-Business Suite Release 12.1 Upgrade Best Practices - Technical Insight (Presentation)Udayan Parvate, Director, E-Business Suite Release Engineering and Uday Moogala, Senior Principal Engineer, Applications Performance discussed the best practices that you can apply when upgrading your E-Business Suite instance to Release 12.1 and beyond. They discussed upgrade paths, resources, and practices to minimize downtime during the upgrade. (April 2012)Finding other recorded ATG webcastsThe catalog of ATG Live Webcast replays, presentations, and all ATG training materials is available in this blog's Webcasts and Training section.

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  • Social Targeting: Who Do You Think You’re Talking To?

    - by Mike Stiles
    Are you the kind of person that tries to sell Clay Aiken CD’s outside Warped Tour concert venues? Then you don’t think a lot about targeting your messages to the right audience. For your communication to pack the biggest punch it can, you need to know where to throw it. And a recent study on social demographics might help you see social targeting in a whole new light. Pingdom’s annual survey of social network demographics shows us first of all that there is no gender difference between Facebook and Twitter. Both are 40% male, 60% female. If you’re looking for locales that lean heavily male, that would be Slashdot, Hacker News and Stack Overflow. The women are dominating Pinterest, Goodreads and Blogger. So what about age? 55% of tweeters are 35 and up, compared with 63% at Pinterest, 65% at Facebook and 70% at LinkedIn. As you can tell, LinkedIn supports the oldest user base, with the average member being 44. The average age at Facebook is 51, and it’s 37 at Twitter. If you want to aim younger, have you met Orkut yet? 83% of its users are under 35. The next sites in order as great candidates for the young market are deviantART, Hacker News, Hi5, Github, and Reddit. I know, other than Reddit, many of you might be saying “who?” But the list could offer an opportunity to look at the vast social world beyond Facebook, Twitter and Google+ (which Pingdom did not include in the survey at all due to a lack of accessible data). As for the average age of social users overall: 26% are 25-34 25% are 35-44 19% are 45-54 16% are 18-24  6% are 55-64  5% are 0-17  and 2% are 65 Now you know where you stand on the “cutting edge” scale for a person your age. You’re welcome. Certainly such demographics are a moving target and need to be watched and reassessed on a regular basis to make sure you’re moving in step with the people you want to talk to. For instance, since Pingdom’s survey last year, the age of the average Facebook user has gone up 2 years, while the age of the average Twitter user has gone down 2 years. With the targeting and analytics tools available on today’s social management platforms, there’s little need to market in the dark. Otherwise, good luck with those Clay CD’s.

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  • Dynamic Bursting ... no really!

    - by Tim Dexter
    If any of you have seen me or my colleagues present BI Publisher to you then we have hopefully mentioned 'bursting.' You may have even seen a demo where we talk about being able to take a batch of data, say invoices. Then split them by some criteria, say customer id; format them with a template; generate the output and then deliver the documents to the recipients with a click. We and especially I, always say this can be completely dynamic! By this I mean, that you could store customer preferences in a database. What layout would each customer like; what output format they would like and how they would like the document delivered. We (I) talk a good talk, but typically don't do the walk in a demo. We hard code everything in the bursting query or bursting control file to get the concept across. But no more peeps! I have finally put together a dynamic bursting demo! Its been minutes in the making but its been tough to find those minutes! Read on ... It's nothing amazing in terms of making the burst dynamic. I created a CUSTOMER_PREFS table with some simple UI in an APEX application so that I can maintain their requirements. In EBS you have descriptive flexfields that could do the same thing or probably even 'contact' fields to store most of the info. Here's my table structure: Name                           Type ------------------------------ -------- CUSTOMER_ID                    NUMBER(6) TEMPLATE_TYPE                  VARCHAR2(20) TEMPLATE_NAME                  VARCHAR2(120) OUTPUT_FORMAT                  VARCHAR2(20) DELIVERY_CHANNEL               VARCHAR2(50) EMAIL                          VARCHAR2(255) FAX                            VARCHAR2(20) ATTACH                         VARCHAR2(20) FILE_LOC                       VARCHAR2(255) Simple enough right? Just need CUSTOMER_ID as the key for the bursting engine to join it to the customer data at burst time. I have not covered the full delivery options, just email, fax and file location. Remember, its a demo people :0) However the principal is exactly the same for each delivery type. They each have a set of attributes that need to be provided and you will need to handle that in your bursting query. On a side note, in EBS, you use a bursting control file, you can apply the same principals that I'm laying out here you just need to get the customer bursting info into the XML data stream so that you can refer to it in the control file using XPATH expressions. Next, we need to look up what attributes or parameters are required for each delivery method. that can be found in the documentation here.  Now we know the combinations of parameters and delivery methods we can construct the query using a series a decode statements: select distinct cp.customer_id "KEY", cp.template_name TEMPLATE, cp.template_type TEMPLATE_FORMAT, 'en-US' LOCALE, cp.output_format OUTPUT_FORMAT, 'false' SAVE_FORMAT, cp.delivery_channel DEL_CHANNEL, decode(cp.delivery_channel,'FILE', cp.file_loc , 'EMAIL', cp.email , 'FAX', cp.fax) PARAMETER1, decode(cp.delivery_channel,'FILE', c.cust_last_name||'_orders.pdf' ,'EMAIL','[email protected]' ,'FAX', 'faxserver.com') PARAMETER2, decode(cp.delivery_channel,'FILE',NULL ,'EMAIL','[email protected]' ,'FAX', null) PARAMETER3, decode(cp.delivery_channel,'FILE',NULL ,'EMAIL','Your current orders' ,'FAX',NULL) PARAMETER4, decode(cp.delivery_channel,'FILE',NULL ,'EMAIL','Please find attached a copy of your current orders with BI Publisher, Inc' ,'FAX',NULL) PARAMETER5, decode(cp.delivery_channel,'FILE',NULL ,'EMAIL','false' ,'FAX',NULL) PARAMETER6, decode(cp.delivery_channel,'FILE',NULL ,'EMAIL','[email protected]' ,'FAX',NULL) PARAMETER7 from cust_prefs cp, customers c, orders_view ov where cp.customer_id = c.customer_id and cp.customer_id = ov.customer_id order by cp.customer_id Pretty straightforward, just need to test, test, test, the query and ensure it's bringing back the correct data based on each customers preferences. Notice the NULL values for parameters that are not relevant for a given delivery channel. You should end up with bursting control data that the bursting engine can use:  Now, your users can run the burst and documents will be formatted, generated and delivered based on the customer prefs. If you're interested in the example, I have used the sample OE schema data for the base report. The report files and CUST_PREFS table are zipped up here. The zip contains the data model (.xdmz), the report and templates (.xdoz) and the sql scripts to create and load data to the CUST_PREFS table.  Once you load the report into the catalog, you'll need to create the OE data connection and point the data model at it. You'll probably need to re-point the report to the data model too. Happy Bursting!

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