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  • CVE-2009-5022 Buffer Overflow vulnerability in LibTIFF

    - by chandan
    CVE DescriptionCVSSv2 Base ScoreComponentProduct and Resolution CVE-2009-5022 Buffer Overflow vulnerability 6.8 LibTIFF Solaris 8 SPARC: 139093-03 X86: 139094-03 Solaris 9 SPARC: 125673-05 X86: 125674-05 Solaris 10 SPARC: 119900-13 X86: 119901-12 This notification describes vulnerabilities fixed in third-party components that are included in Sun's product distribution.Information about vulnerabilities affecting Oracle Sun products can be found on Oracle Critical Patch Updates and Security Alerts page.

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  • The Oracle Platform

    - by Naresh Persaud
    Today’s enterprises typically create identity management infrastructures using ad-hoc, multiple point solutions. Relying on point solutions introduces complexity and high cost of ownership leading many organizations to rethink this approach. In a recent worldwide study of 160 companies conducted by Aberdeen Research, there was a discernible shift in this trend as businesses are now looking to move away from the point solution approach from multiple vendors and adopt an integrated platform approach. By deploying a comprehensive identity and access management strategy using a single platform, companies are saving as much as 48% in IT costs, while reducing audit deficiencies by nearly 35%. According to Aberdeen's research, choosing an integrated suite or “platform” of solutions for Identity Management from a single vendor can have many advantages over choosing “point solutions” from multiple vendors. The Oracle Identity Management Platform is uniquely designed to offer several compelling benefits to our customers.  Shared Services: Instead of separate solutions for - Administration, Authentication, Authorization, Audit and so on–  Oracle Identity Management offers a set of share services that allows these services to be consumed by each component in the stack and by developers of new applications  Actionable Intelligence: The most compelling benefit of the Oracle platform is ” Actionable intelligence” which means if there is a compliance violation, the same platform can fix it. And If a user is logging in from an un-trusted device or we detect an attack and act proactively on that information. Suite Interoperability: With the oracle platform the components all connect and integrated with each other. So if an organization purchase the platform for provisioning and wants to manage access, then the same platform can offer access management which leads to cost savings. Extensible and Configurable: With point solutions – you typically get limited ability to extend the tool to address custom requirements. But with the Oracle platform all of the components have a common way to extend the UI and behavior Find out more about the Oracle Platform approach in this presentation. Platform approach-series-the oracleplatform-final View more PowerPoint from OracleIDM

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  • Summer Upgrade Workshops are Open!

    - by roy.swonger
    The listing of upcoming events is located in the right sidebar of the main blog page, down below the flag counter. If you haven't checked out our schedule lately, you might be surprised at how active we will be with travel this summer. Coming up next week will be upgrade workshops in the USA (St. Louis and Minneapolis) followed by a pair in Canada (Toronto and Montreal) and then two in Europe (Brussels and Utrecht). Make your plans now to attend an upgrade workshop in your area. As you can see from the long list of planned events, it is very likely that Mike or I will be coming to your area sometime soon!

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  • Several New Hints

    - by Ondrej Brejla
    Hi all! Today we would like to introduce you some of our new experimental hints for NetBeans 7.2. They are called: Unused Use Statement and Immutable Variables. Unused Use Statement This hint is quite simple. It highlights (underlines) your use statements, which are not used. Typical use case is after some refactoring, when you forgot to remove some obsolete use statements. This hint warns you on them and allows you to remove them easily. Just click on the hint bulb in the gutter and select Remove Unused Use Statement. And of course, it works in multiple use statements combined too. Immutable Variables The next one is the hint which checks too many assignments into a variable. And why? That's simple. Mostly you should use just one assignment into one variable. But sometimes you are lazy and you do something like: But it's quite wrong, because what you really do is: And that's exactly the case, when our new hint warns you, that Too many assignments (2) into variable $foo occured. Nothing more. Yes, we know that there are some cases, where could be more assignments and no warning should occur, e.g.: Because maybe one likes longer increment syntax more than the short one. So we tried to handle these cases to don't bother you if it's not a need. Note: We are almost sure that this hint doesn't cover all your use cases, because there are a lot of them. So if you find something strange, write it into our bugzilla so we can handle it better for you. Thanks for your patience! And the last thing is, that you can set the number of allowed assignments in Tools -> Options -> Editor -> Hints -> PHP: Immutable Variables. Note: This hint works just for a common variables, not for fields. We have an enhancement request for that and it should be implemented in next version of NetBeans (probably 7.3). And that's all for today and as usual, please test it and if you find something strange, don't hesitate to file a new issue (product php, component Editor). Thanks.

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  • New Virtual Compute Appliance Videos

    - by Cinzia Mascanzoni
    Watch the latest Virtual Compute Appliance videos to aid your conversations with partners and customers! Virtual Compute Appliance Flash demo shows your customers and partners the business benefits. VCA Product demo. Tier1 Customer Testimonial Video of using Oracle's Virtual Compute Appliance to build a private cloud virtualization platform to host its customers’ Oracle Enterprise and Windows applications. Centroid Partner Testimonial Video.

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  • Deploying Oracle ADF Essentials Applications to Glassfish

    - by Shay Shmeltzer
    With the new Oracle ADF Essentials offering you can now deploy applications that leverage Oracle ADF on the open source Glassfish 3.1 server. Deployment is documented in the official JDeveloper and ADF documentation (here) but below is a summary of the steps and a video of the steps you'll need to take to get a basic Oracle ADF Essentials application to work on GlassFish. Note - to make starting/stopping GlassFish easier for my demo I used my GlassFish extension that you can get here. First we'll install some ADF Runtime libraries on GlassFish Download and install Glassfish (Note - if you also have an Oracle DB on the same machine, you'll want to switch GlassFish's HTTP port to something else instead of 8080). Download the Oracle ADF Essentials packaging - this will get you an adf_essentials.zip file. Copy the adf_essentials.zip to the lib directory of your Glassfish domain - on a default windows install this would be: C:\glassfish3\glassfish\domains\domain1\lib Go the the above lib directory and issue a unzip -j adf_essentials.zip This will extract the ADF libraries to the directory. Now you can start the Glassfish server. Now let's configure Glassfish to handle applications of the ADF type: Invoke the admin console of glassfish (http://localhost:4848) and log into your admin account. Go to Configurations->Server-config->JVM Settings and choose the JVM Options tab Add the following entries: -XX:MaxPermSize=512m (note this entry should already exist so just make sure it has a big enough value) -Doracle.mds.cache=simple While we are in the admin console, we can also define JDBC connections that will be used by our application. Go into Resources->JDBC->JDBC Connection Pools and click to create a New one Give it a name and choose the resource type to be javax.sql.XADataSource and choose Oracle as the Database Driver vendor. Click Next Scroll down to the Additional Properties section and start filling in the information for your database. The values for an Oracle XE will be (user=hr, databaseName = XE, Password=hr, ServerName=localhost, DriverType=thin, PortNumber=1521) Click Finish Click Ping to check your connection works. Now define a new JDBC Resource that will use the pool you just defined. In my example I called the resource jdbc/HRDS You will need this name to match the name in your Application Module connection configuraiton.Now you can re-start the Glassfish server for the changes to take effect. Get an ADF application going (you can use the regular Fusion Application template for this) Go into the project properties of your viewController project, under the deployment section click to edit the deployment profile that is defined there. Go to Platform and choose Glassfish 3.1 from the drop down list. Click ok to go back to your project. Go to Application -> Application Properties-> Deployment Go to Platform and choose Glassfish 3.1 from the drop down list. Click ok to go back to your project. This step will make sure that JDeveloper will autoamtically add the necessary ADF libraries to the EAR file that is being generated for deployment on Glassfish  Go to your Application->Deploy and deploy either to an EAR file or directly to a Glassfish server connection that you created. Things should just work, but if they don't then look up the server.log in the log directory and check out what error is in there. Here is a video demo of the various steps: Note - right now the deployment of an ADF application takes about 2 minutes on my machine we are hoping to be able to improve this timing in the future. People who are more familiar with Glassfish might want to explore using exploded directory deployment and see if they can get it to work.

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  • Online ALTER TABLE in MySQL 5.6

    - by Marko Mäkelä
    This is the low-level view of data dictionary language (DDL) operations in the InnoDB storage engine in MySQL 5.6. John Russell gave a more high-level view in his blog post April 2012 Labs Release – Online DDL Improvements. MySQL before the InnoDB Plugin Traditionally, the MySQL storage engine interface has taken a minimalistic approach to data definition language. The only natively supported operations were CREATE TABLE, DROP TABLE and RENAME TABLE. Consider the following example: CREATE TABLE t(a INT); INSERT INTO t VALUES (1),(2),(3); CREATE INDEX a ON t(a); DROP TABLE t; The CREATE INDEX statement would be executed roughly as follows: CREATE TABLE temp(a INT, INDEX(a)); INSERT INTO temp SELECT * FROM t; RENAME TABLE t TO temp2; RENAME TABLE temp TO t; DROP TABLE temp2; You could imagine that the database could crash when copying all rows from the original table to the new one. For example, it could run out of file space. Then, on restart, InnoDB would roll back the huge INSERT transaction. To fix things a little, a hack was added to ha_innobase::write_row for committing the transaction every 10,000 rows. Still, it was frustrating that even a simple DROP INDEX would make the table unavailable for modifications for a long time. Fast Index Creation in the InnoDB Plugin of MySQL 5.1 MySQL 5.1 introduced a new interface for CREATE INDEX and DROP INDEX. The old table-copying approach can still be forced by SET old_alter_table=0. This interface is used in MySQL 5.5 and in the InnoDB Plugin for MySQL 5.1. Apart from the ability to do a quick DROP INDEX, the main advantage is that InnoDB will execute a merge-sort algorithm before inserting the index records into each index that is being created. This should speed up the insert into the secondary index B-trees and potentially result in a better B-tree fill factor. The 5.1 ALTER TABLE interface was not perfect. For example, DROP FOREIGN KEY still invoked the table copy. Renaming columns could conflict with InnoDB foreign key constraints. Combining ADD KEY and DROP KEY in ALTER TABLE was problematic and not atomic inside the storage engine. The ALTER TABLE interface in MySQL 5.6 The ALTER TABLE storage engine interface was completely rewritten in MySQL 5.6. Instead of introducing a method call for every conceivable operation, MySQL 5.6 introduced a handful of methods, and data structures that keep track of the requested changes. In MySQL 5.6, online ALTER TABLE operation can be requested by specifying LOCK=NONE. Also LOCK=SHARED and LOCK=EXCLUSIVE are available. The old-style table copying can be requested by ALGORITHM=COPY. That one will require at least LOCK=SHARED. From the InnoDB point of view, anything that is possible with LOCK=EXCLUSIVE is also possible with LOCK=SHARED. Most ALGORITHM=INPLACE operations inside InnoDB can be executed online (LOCK=NONE). InnoDB will always require an exclusive table lock in two phases of the operation. The execution phases are tied to a number of methods: handler::check_if_supported_inplace_alter Checks if the storage engine can perform all requested operations, and if so, what kind of locking is needed. handler::prepare_inplace_alter_table InnoDB uses this method to set up the data dictionary cache for upcoming CREATE INDEX operation. We need stubs for the new indexes, so that we can keep track of changes to the table during online index creation. Also, crash recovery would drop any indexes that were incomplete at the time of the crash. handler::inplace_alter_table In InnoDB, this method is used for creating secondary indexes or for rebuilding the table. This is the ‘main’ phase that can be executed online (with concurrent writes to the table). handler::commit_inplace_alter_table This is where the operation is committed or rolled back. Here, InnoDB would drop any indexes, rename any columns, drop or add foreign keys, and finalize a table rebuild or index creation. It would also discard any logs that were set up for online index creation or table rebuild. The prepare and commit phases require an exclusive lock, blocking all access to the table. If MySQL times out while upgrading the table meta-data lock for the commit phase, it will roll back the ALTER TABLE operation. In MySQL 5.6, data definition language operations are still not fully atomic, because the data dictionary is split. Part of it is inside InnoDB data dictionary tables. Part of the information is only available in the *.frm file, which is not covered by any crash recovery log. But, there is a single commit phase inside the storage engine. Online Secondary Index Creation It may occur that an index needs to be created on a new column to speed up queries. But, it may be unacceptable to block modifications on the table while creating the index. It turns out that it is conceptually not so hard to support online index creation. All we need is some more execution phases: Set up a stub for the index, for logging changes. Scan the table for index records. Sort the index records. Bulk load the index records. Apply the logged changes. Replace the stub with the actual index. Threads that modify the table will log the operations to the logs of each index that is being created. Errors, such as log overflow or uniqueness violations, will only be flagged by the ALTER TABLE thread. The log is conceptually similar to the InnoDB change buffer. The bulk load of index records will bypass record locking. We still generate redo log for writing the index pages. It would suffice to log page allocations only, and to flush the index pages from the buffer pool to the file system upon completion. Native ALTER TABLE Starting with MySQL 5.6, InnoDB supports most ALTER TABLE operations natively. The notable exceptions are changes to the column type, ADD FOREIGN KEY except when foreign_key_checks=0, and changes to tables that contain FULLTEXT indexes. The keyword ALGORITHM=INPLACE is somewhat misleading, because certain operations cannot be performed in-place. For example, changing the ROW_FORMAT of a table requires a rebuild. Online operation (LOCK=NONE) is not allowed in the following cases: when adding an AUTO_INCREMENT column, when the table contains FULLTEXT indexes or a hidden FTS_DOC_ID column, or when there are FOREIGN KEY constraints referring to the table, with ON…CASCADE or ON…SET NULL option. The FOREIGN KEY limitations are needed, because MySQL does not acquire meta-data locks on the child or parent tables when executing SQL statements. Theoretically, InnoDB could support operations like ADD COLUMN and DROP COLUMN in-place, by lazily converting the table to a newer format. This would require that the data dictionary keep multiple versions of the table definition. For simplicity, we will copy the entire table, even for DROP COLUMN. The bulk copying of the table will bypass record locking and undo logging. For facilitating online operation, a temporary log will be associated with the clustered index of table. Threads that modify the table will also write the changes to the log. When altering the table, we skip all records that have been marked for deletion. In this way, we can simply discard any undo log records that were not yet purged from the original table. Off-page columns, or BLOBs, are an important consideration. We suspend the purge of delete-marked records if it would free any off-page columns from the old table. This is because the BLOBs can be needed when applying changes from the log. We have special logging for handling the ROLLBACK of an INSERT that inserted new off-page columns. This is because the columns will be freed at rollback.

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  • How to automate a monitoring system for ETL runs

    - by Jeffrey McDaniel
    Upon completion of the Primavera ETL process there are a few ways to determine if the process finished successfully.  First, in the <installation directory>\log folder,  there is a staretlprocess.log and staretl.html files. These files will give the output results of the ETL run. The staretl.html file will give a detailed summary of each step of the process, its run time, and its status. The .log file, based on the logging level set in the Configuration tool, can give extensive information about the ETL process. The log file can be used as a validation for process completion.  To automate the monitoring of these log files, perform the following steps: 1. Write a custom application to parse through the log file and search for [ERROR] . In most cases,  a major [ERROR] could cause the ETL process to fail. Searching the log and finding this value is worthy of an alert. 2. Determine the total number of steps in the ETL process, and validate that the log file recorded and entry for the final step.  For example validate that your log file contains an entry for Step 39/39 (could be different based on the version you are running). If there is no Step 39/39, then either the process is taking longer than expected or it didn't make it to the end.  Either way this would be a good cause for an alert. 3. Check the last line in the log file. The last line of the log file should contain an indication that the ETL run completed successfully. For example, the last line of a log file will say (results could be different based on Reporting Database versions):   [INFO] (Message) Finished Writing Report 4. You could write an Ant script to execute the ETL process and have it set to - failonerror="true" - and from there send results to an external tool to monitor the jobs, send to email, or send to database. With each ETL run, the log file appends to the existing log file by default. Because of this behavior, I would recommend renaming the existing log files before running a new ETL process. By doing this,  only log entries for the currently running ETL process is recorded in the new log files. Based on these log entries, alerts can be setup to notify the administrator or DBA. Another way to determine if the ETL process has completed successfully is to monitor the etl_processmaster table.  Depending on the Reporting Database version this could be in the Stage or Star databases. As of Reporting Database 2.2 and higher this would be in the Star database.  The etl_processmaster table records entries for the ETL run along with a Start and Finish time.  If the ETl process has failed the Finish date should be null. This table can be queried at a time when ETL process is expected to be finished and if null send an alert.  These are just some options. There are additional ways this can be accomplished based around these two areas - log files or database. Here is an additional query to gather more information about your ETL run (connect as Staruser): SELECT SYSDATE,test_script,decode(loc, 0, PROCESSNAME, trim(SUBSTR(PROCESSNAME, loc+1))) PROCESSNAME ,duration duration from ( select (e.endtime - b.starttime) * 1440 duration, to_char(b.starttime, 'hh24:mi:ss') starttime, to_char(e.endtime, 'hh24:mi:ss') endtime,  b.PROCESSNAME, instr(b.PROCESSNAME, ']') loc, b.infotype test_script from ( select processid, infodate starttime, PROCESSNAME, INFOMSG, INFOTYPE from etl_processinfo  where processid = (select max(PROCESSID) from etl_processinfo) and infotype = 'BEGIN' ) b  inner Join ( select processid, infodate endtime, PROCESSNAME, INFOMSG, INFOTYPE from etl_processinfo  where processid = (select max(PROCESSID) from etl_processinfo) and infotype = 'END' ) e on b.processid = e.processid  and b.PROCESSNAME = e.PROCESSNAME order by b.starttime)

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  • Participez à nos webinars hebdomadaires sur HCM

    - by Kinoa
    Et vous, vous faites quoi le vendredi matin ? Participez à notre webinar hebdomadaire Fusion Friday organisé par l'équipe Oracle UK. Des spécialistes animeront ces sessions live et répondront à toutes les questions que vous vous posez : innovations, productivité, gestion de carrière, analyses des tendances, entretiens annuels... Chaque session se déroulera à 9h30 (gmt) avec environ 20mn de présentation live suivi de questions / réponses. Inscrivez-vous dès à présent au Fusion Friday. Et pour plus de vidéos et tutoriels, rendez-vous sur le Virtual Briefing Center.

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  • Consumer Oriented Search In Oracle Endeca Information Discovery – Part 1

    - by Bob Zurek
    Information Discovery, a core capability of Oracle Endeca Information Discovery, enables business users to rapidly search, discover and navigate through a wide variety of big data including structured, unstructured and semi-structured data. One of the key capabilities, among many, that differentiate our solution from others in the Information Discovery market is our deep support for search across this growing amount of varied big data. Our method and approach is very different than classic simple keyword search that is found in may information discovery solutions. In this first part of a series on the topic of search, I will walk you through many of the key capabilities that go beyond the simple search box that you might experience in products where search was clearly an afterthought or attempt to catch up to our core capabilities in this area. Lets explore. The core data management solution of Oracle Endeca Information Discovery is the Endeca Server, a hybrid search-analytical database that his highly scalable and column-oriented in nature. We will talk in more technical detail about the capabilities of the Endeca Server in future blog posts as this post is intended to give you a feel for the deep search capabilities that are an integral part of the Endeca Server. The Endeca Server provides best-of-breed search features aw well as a new class of features that are the first to be designed around the requirement to bridge structured, semi-structured and unstructured big data. Some of the key features of search include type a heads, automatic alphanumeric spell corrections, positional search, Booleans, wildcarding, natural language, and category search and query classification dialogs. This is just a subset of the advanced search capabilities found in Oracle Endeca Information Discovery. Search is an important feature that makes it possible for business users to explore on the diverse data sets the Endeca Server can hold at any one time. The search capabilities in the Endeca server differ from other Information Discovery products with simple “search boxes” in the following ways: The Endeca Server Supports Exploratory Search.  Enterprise data frequently requires the user to explore content through an ad hoc dialog, with guidance that helps them succeed. This has implications for how to design search features. Traditional search doesn’t assume a dialog, and so it uses relevance ranking to get its best guess to the top of the results list. It calculates many relevance factors for each query, like word frequency, distance, and meaning, and then reduces those many factors to a single score based on a proprietary “black box” formula. But how can a business users, searching, act on the information that the document is say only 38.1% relevant? In contrast, exploratory search gives users the opportunity to clarify what is relevant to them through refinements and summaries. This approach has received consumer endorsement through popular ecommerce sites where guided navigation across a broad range of products has helped consumers better discover choices that meet their, sometimes undetermined requirements. This same model exists in Oracle Endeca Information Discovery. In fact, the Endeca Server powers many of the most popular e-commerce sites in the world. The Endeca Server Supports Cascading Relevance. Traditional approaches of search reduce many relevance weights to a single score. This means that if a result with a good title match gets a similar score to one with an exact phrase match, they’ll appear next to each other in a list. But a user can’t deduce from their score why each got it’s ranking, even though that information could be valuable. Oracle Endeca Information Discovery takes a different approach. The Endeca Server stratifies results by a primary relevance strategy, and then breaks ties within a strata by ordering them with a secondary strategy, and so on. Application managers get the explicit means to compose these strategies based on their knowledge of their own domain. This approach gives both business users and managers a deterministic way to set and understand relevance. Now that you have an understanding of two of the core search capabilities in Oracle Endeca Information Discovery, our next blog post on this topic will discuss more advanced features including set search, second-order relevance as well as an understanding of faceted search mechanisms that include queries and filters.  

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  • Reduce HR Costs & Improve Productivity with Workforce Communications

    - by Robert Story
    Upcoming WebcastTitle: Reduce HR Costs & Improve Productivity with Workforce CommunicationsDate: May 18, 2010 Time: 12:00 pm EDT, 9:00 am PDT, 17:00 GMT Product Family: PeopleSoft HCM & EBS HRMSClick here to register for this session....... ....... ....... ....... ....... ....... .......The above webcast is a service of the E-Business Suite Communities in My Oracle Support.For more information on other webcasts, please reference the Oracle Advisor Webcast Schedule.Click here to visit the E-Business Communities in My Oracle Support Note that all links require access to My Oracle Support.

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  • La ripresa economica si sta consolidando, siete pronti a cogliere questa opportunità?

    - by antonella.buonagurio(at)oracle.com
    L'esclusiva ricerca IDC indica i percorsi strategici più innovativi a supporto delle Vendite, del Customer Service e del Marketing.        La ricerca basata su più di 300 interviste a executive, CIO e CEO di medie e grandi organizzazioni in tutta Europa, vi guiderà nel comprendere l'evoluzione e l'impatto dei trend più rilevanti sui processi che gestiscono ed indirizzano la relazione tra azienda e clienti.

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  • JCP Survey!

    - by Yolande Poirier
    The London Java Community (LJC), which is an Executive Committee member of the Java Community Process (JCP), is asking Java developers to participate in a JCP survey titled "What should the JCP be doing?"  The JCP is the mechanism that decides on future standards related to Java technology. Those standards give users like you a choice of technologies to develop with and more independence from vendor solutions.   The JCP cares about community feedback and has successfully encouraged community participation using transparent tracking processes. Take the survey, your feedback matters. 

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  • Annotation Processor for Superclass Sensitive Actions

    - by Geertjan
    Someone creating superclass sensitive actions should need to specify only the following things: The condition under which the popup menu item should be available, i.e., the condition under which the action is relevant. And, for superclass sensitive actions, the condition is the name of a superclass. I.e., if I'm creating an action that should only be invokable if the class implements "org.openide.windows.TopComponent",  then that fully qualified name is the condition. The position in the list of Java class popup menus where the new menu item should be found, relative to the existing menu items. The display name. The path to the action folder where the new action is registered in the Central Registry. The code that should be executed when the action is invoked. In other words, the code for the enablement (which, in this case, means the visibility of the popup menu item when you right-click on the Java class) should be handled generically, under the hood, and not every time all over again in each action that needs this special kind of enablement. So, here's the usage of my newly created @SuperclassBasedActionAnnotation, where you should note that the DataObject must be in the Lookup, since the action will only be available to be invoked when you right-click on a Java source file (i.e., text/x-java) in an explorer view: import java.awt.event.ActionEvent; import java.awt.event.ActionListener; import org.netbeans.sbas.annotations.SuperclassBasedActionAnnotation; import org.openide.awt.StatusDisplayer; import org.openide.loaders.DataObject; import org.openide.util.NbBundle; import org.openide.util.Utilities; @SuperclassBasedActionAnnotation( position=30, displayName="#CTL_BrandTopComponentAction", path="File", type="org.openide.windows.TopComponent") @NbBundle.Messages("CTL_BrandTopComponentAction=Brand") public class BrandTopComponentAction implements ActionListener { private final DataObject context; public BrandTopComponentAction() { context = Utilities.actionsGlobalContext().lookup(DataObject.class); } @Override public void actionPerformed(ActionEvent ev) { String message = context.getPrimaryFile().getPath(); StatusDisplayer.getDefault().setStatusText(message); } } That implies I've created (in a separate module to where it is used) a new annotation. Here's the definition: package org.netbeans.sbas.annotations; import java.lang.annotation.ElementType; import java.lang.annotation.Retention; import java.lang.annotation.RetentionPolicy; import java.lang.annotation.Target; @Retention(RetentionPolicy.SOURCE) @Target(ElementType.TYPE) public @interface SuperclassBasedActionAnnotation { String type(); String path(); int position(); String displayName(); } And here's the processor: package org.netbeans.sbas.annotations; import java.util.Set; import javax.annotation.processing.Processor; import javax.annotation.processing.RoundEnvironment; import javax.annotation.processing.SupportedAnnotationTypes; import javax.annotation.processing.SupportedSourceVersion; import javax.lang.model.SourceVersion; import javax.lang.model.element.Element; import javax.lang.model.element.TypeElement; import javax.lang.model.util.Elements; import org.openide.filesystems.annotations.LayerBuilder.File; import org.openide.filesystems.annotations.LayerGeneratingProcessor; import org.openide.filesystems.annotations.LayerGenerationException; import org.openide.util.lookup.ServiceProvider; @ServiceProvider(service = Processor.class) @SupportedAnnotationTypes("org.netbeans.sbas.annotations.SuperclassBasedActionAnnotation") @SupportedSourceVersion(SourceVersion.RELEASE_6) public class SuperclassBasedActionProcessor extends LayerGeneratingProcessor { @Override protected boolean handleProcess(Set annotations, RoundEnvironment roundEnv) throws LayerGenerationException { Elements elements = processingEnv.getElementUtils(); for (Element e : roundEnv.getElementsAnnotatedWith(SuperclassBasedActionAnnotation.class)) { TypeElement clazz = (TypeElement) e; SuperclassBasedActionAnnotation mpm = clazz.getAnnotation(SuperclassBasedActionAnnotation.class); String teName = elements.getBinaryName(clazz).toString(); String originalFile = "Actions/" + mpm.path() + "/" + teName.replace('.', '-') + ".instance"; File actionFile = layer(e).file( originalFile). bundlevalue("displayName", mpm.displayName()). methodvalue("instanceCreate", "org.netbeans.sbas.annotations.SuperclassSensitiveAction", "create"). stringvalue("type", mpm.type()). newvalue("delegate", teName); actionFile.write(); File javaPopupFile = layer(e).file( "Loaders/text/x-java/Actions/" + teName.replace('.', '-') + ".shadow"). stringvalue("originalFile", originalFile). intvalue("position", mpm.position()); javaPopupFile.write(); } return true; } } The "SuperclassSensitiveAction" referred to in the code above is unchanged from how I had it in yesterday's blog entry. When I build the module containing two action listeners that use my new annotation, the generated layer file looks as follows, which is identical to the layer file entries I hard coded yesterday: <folder name="Actions"> <folder name="File"> <file name="org-netbeans-sbas-impl-ActionListenerSensitiveAction.instance"> <attr name="displayName" stringvalue="Process Action Listener"/> <attr methodvalue="org.netbeans.sbas.annotations.SuperclassSensitiveAction.create" name="instanceCreate"/> <attr name="type" stringvalue="java.awt.event.ActionListener"/> <attr name="delegate" newvalue="org.netbeans.sbas.impl.ActionListenerSensitiveAction"/> </file> <file name="org-netbeans-sbas-impl-BrandTopComponentAction.instance"> <attr bundlevalue="org.netbeans.sbas.impl.Bundle#CTL_BrandTopComponentAction" name="displayName"/> <attr methodvalue="org.netbeans.sbas.annotations.SuperclassSensitiveAction.create" name="instanceCreate"/> <attr name="type" stringvalue="org.openide.windows.TopComponent"/> <attr name="delegate" newvalue="org.netbeans.sbas.impl.BrandTopComponentAction"/> </file> </folder> </folder> <folder name="Loaders"> <folder name="text"> <folder name="x-java"> <folder name="Actions"> <file name="org-netbeans-sbas-impl-ActionListenerSensitiveAction.shadow"> <attr name="originalFile" stringvalue="Actions/File/org-netbeans-sbas-impl-ActionListenerSensitiveAction.instance"/> <attr intvalue="10" name="position"/> </file> <file name="org-netbeans-sbas-impl-BrandTopComponentAction.shadow"> <attr name="originalFile" stringvalue="Actions/File/org-netbeans-sbas-impl-BrandTopComponentAction.instance"/> <attr intvalue="30" name="position"/> </file> </folder> </folder> </folder> </folder>

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  • Oracle Unveils AutoVue Release 20.1

    - by prasenjit.niyogi(at)oracle.com
    We are extremely pleased to announce the availability of Oracle's AutoVue Release 20.1. AutoVue 20.1 is the latest major release of the family of Enterprise Visualization solutions from Oracle. Highlights of the release include: Unparalleled new format support and enhancements for 3D CAD, 2D, CAD, ECAD and PDF documents New capabilities that support end-to-end design to manufacture processes in the Electronics & High Tech space, that allow manufacturing engineers to perform accurate manufacturability reviews through better support for variants, overlays and polarity Significant printing enhancements, such as printing of markup notes; support for Excel file print settings; and print in grayscale; which serve to optimize paper-based business processes Powerful integration enablement capabilities to extend visualization into existing enterprise architectures and systems; including AutoVue Hotspots that enable visual navigation and action by linking visual data to structured enterprise data, and new AutoVue Document Print Services (DPS) to enrich enterprise applications with format and platform agnostic printing of any document type Improvements for cost-effective AutoVue deployment and administration, including support for virtualization Release 20.1 Webcast - Attend the webcast on April 13th at 12:00 pm EST to discover what is new and exciting in the latest release. Encourage your customers, prospects, and partners to attend. Title: Oracle Unveils AutoVue Release 20.1 Channel: Oracle AutoVue Channel Register Here: http://www.brighttalk.com/webcast/26282 To discover more about the latest release, and to find out what the customers and partners are saying about the value of this offering, check out the: What's New is AutoVue 20.1 Datasheet You can also learn all about the latest format support here AutoVue 20.1 Format Support Sheet We look forward to seeing you at the webcast. If you have any questions feel free to ask, and we will answer it in this forum. Enjoy AutoVue 20.1!

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  • Oracle Forms and Java JRE Auto-Update Problems

    - by Grant Ronald
    There have been a few threads regarding problems with the auto update of the JRE and Oracle Forms applications.  See this entry from Steve Chan and this entry on the error FRM-92095: Oracle Jnitiator version too low - please install version 1.1.8.2 or higher.  There are a few points to be aware of so Support have written up a note to hopefully make things clearer.  Log onto your Oracle support account and search for Note: 1470123.1.

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  • Take Two: Comparing JVMs on ARM/Linux

    - by user12608080
    Although the intent of the previous article, entitled Comparing JVMs on ARM/Linux, was to introduce and highlight the availability of the HotSpot server compiler (referred to as c2) for Java SE-Embedded ARM v7,  it seems, based on feedback, that everyone was more interested in the OpenJDK comparisons to Java SE-E.  In fact there were two main concerns: The fact that the previous article compared Java SE-E 7 against OpenJDK 6 might be construed as an unlevel playing field because version 7 is newer and therefore potentially more optimized. That the generic compiler settings chosen to build the OpenJDK implementations did not put those versions in a particularly favorable light. With those considerations in mind, we'll institute the following changes to this version of the benchmarking: In order to help alleviate an additional concern that there is some sort of benchmark bias, we'll use a different suite, called DaCapo.  Funded and supported by many prestigious organizations, DaCapo's aim is to benchmark real world applications.  Further information about DaCapo can be found at http://dacapobench.org. At the suggestion of Xerxes Ranby, who has been a great help through this entire exercise, a newer Linux distribution will be used to assure that the OpenJDK implementations were built with more optimal compiler settings.  The Linux distribution in this instance is Ubuntu 11.10 Oneiric Ocelot. Having experienced difficulties getting Ubuntu 11.10 to run on the original D2Plug ARMv7 platform, for these benchmarks, we'll switch to an embedded system that has a supported Ubuntu 11.10 release.  That platform is the Freescale i.MX53 Quick Start Board.  It has an ARMv7 Coretex-A8 processor running at 1GHz with 1GB RAM. We'll limit comparisons to 4 JVM implementations: Java SE-E 7 Update 2 c1 compiler (default) Java SE-E 6 Update 30 (c1 compiler is the only option) OpenJDK 6 IcedTea6 1.11pre 6b23~pre11-0ubuntu1.11.10.2 CACAO build 1.1.0pre2 OpenJDK 6 IcedTea6 1.11pre 6b23~pre11-0ubuntu1.11.10.2 JamVM build-1.6.0-devel Certain OpenJDK implementations were eliminated from this round of testing for the simple reason that their performance was not competitive.  The Java SE 7u2 c2 compiler was also removed because although quite respectable, it did not perform as well as the c1 compilers.  Recall that c2 works optimally in long-lived situations.  Many of these benchmarks completed in a relatively short period of time.  To get a feel for where c2 shines, take a look at the first chart in this blog. The first chart that follows includes performance of all benchmark runs on all platforms.  Later on we'll look more at individual tests.  In all runs, smaller means faster.  The DaCapo aficionado may notice that only 10 of the 14 DaCapo tests for this version were executed.  The reason for this is that these 10 tests represent the only ones successfully completed by all 4 JVMs.  Only the Java SE-E 6u30 could successfully run all of the tests.  Both OpenJDK instances not only failed to complete certain tests, but also experienced VM aborts too. One of the first observations that can be made between Java SE-E 6 and 7 is that, for all intents and purposes, they are on par with regards to performance.  While it is a fact that successive Java SE releases add additional optimizations, it is also true that Java SE 7 introduces additional complexity to the Java platform thus balancing out any potential performance gains at this point.  We are still early into Java SE 7.  We would expect further performance enhancements for Java SE-E 7 in future updates. In comparing Java SE-E to OpenJDK performance, among both OpenJDK VMs, Cacao results are respectable in 4 of the 10 tests.  The charts that follow show the individual results of those four tests.  Both Java SE-E versions do win every test and outperform Cacao in the range of 9% to 55%. For the remaining 6 tests, Java SE-E significantly outperforms Cacao in the range of 114% to 311% So it looks like OpenJDK results are mixed for this round of benchmarks.  In some cases, performance looks to have improved.  But in a majority of instances, OpenJDK still lags behind Java SE-Embedded considerably. Time to put on my asbestos suit.  Let the flames begin...

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  • Schema Based Code Completion for NetBeans Platform Applications

    - by Geertjan
    Toni's recent blog entry provides, among several other interesting things, instructions for something I've been wanting to cover for a long time, which is schema based code completion: The above is a sample I created via Toni's tutorial, using the schema described here: http://www.w3schools.com/schema/schema_example.asp The support for the Navigator ain't bad either, especially considering I didn't do any coding at all to get all this: And here's where you can find the whole sample: http://java.net/projects/nb-api-samples/sources/api-samples/show/versions/7.2/misc/ShipOrder

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  • Recordings Available - Features and Functions Accounting Module

    - by MHundal
    Recordings are available to provide a high-level overview of the ETPM Accounting Module.  The Accounting Module includes Financial Transactions, Adjustments, P&I, Waivers, Overpayments, General Ledger Details, etc... The following three recordings contain a presentation with the primary concepts to be covered and then a walk-thru of the application to look at the concepts being described. ETPM Functions & Features: Accounting Overview:  https://oracletalk.webex.com/oracletalk/ldr.php?AT=pb&SP=MC&rID=67367292&rKey=443823012d0fc43e ETPM Functions & Features: Accounting - P&I, Waivers:  https://oracletalk.webex.com/oracletalk/ldr.php?AT=pb&SP=MC&rID=67432777&rKey=64eb220a56d8e32f  ETPM Functions & Features - Accounting - Rates:  https://oracletalk.webex.com/oracletalk/ldr.php?AT=pb&SP=MC&rID=67370637&rKey=63ca9024ce3b4398

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  • Short on Time or Money? You Can Still Attend Oracle OpenWorld!

    - by Oracle OpenWorld Blog Team
    You might think you can only attend Oracle OpenWorld if you have 5 days of time, or have lots of money to spend, but that's definitely not the case. If you only have a day, or can only spend a few hours over a couple of days, Oracle OpenWorld can still be yours, and at a great value. The Discover pass will only cost you US$125, and here's what it will get you: Access to Oracle OpenWorld keynotes, with Oracle CEO Larry Ellison presenting on both Sunday, September 30 and Tuesday, October 2 Executive Solution Sessions Scene and Be Heard presentations Oracle Users Forum (Sunday, September 30) and Oracle User Groups Pavilion Exhibition Halls featuring hundreds of exhibitors and demos at Oracle OpenWorld, JavaOne, and MySQL Connect Oracle Technology Network Lounge Oracle Music Festival and It's A Wrap! Conference shuttles And much more! You really don't want to miss all of these opportunities to learn, network, and be part of the experience that is Oracle OpenWorld. So don't delay. Register online or in person for your Discover pass today. And have a great day or week at the conference!

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  • How To Check If a Transaction Related to Oracle Asset Tracking Has Been Accounted in SLA

    - by LuciaC-Oracle
    In Oracle Asset Tracking (OAT), we often see situations where a pending transaction has failed to be processed by the OAT programs. Typical situations can be: a pending transaction errors with "Unable to derive accounts from sub ledger accounting for the material transaction" a transaction is not picked by OAT programs. The Create Accounting program log file will show error messages and possible corrective actions to solve the error.  But as this is usually a scheduled program, often any errors that are reported are missed by users. To aid OAT users to identify if a transaction has failed and accounting has not been created, we have now created a SQL script which can be run for any pending transaction: How To Check If a Transaction Related to Oracle Asset Tracking Has Been Accounted in SLA ? (Doc ID 1673414.1)Using the script in this note, the user can pass the material transaction ID for the related transaction and the script will check if SLA accounting entries have been created for this specific transaction or not.If the SLA accounting entries have not been created, the script will prompt the user to run Create Accounting program.  After Create Accounting has been run, the user can run the script again to confirm that accounting has been created.

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  • Oracle Value Chain Summit 2014 - Early Bird Registration Now Open

    - by Pam Petropoulos
    Get the Best Rate on the Biggest Supply Chain Event of the Year. Register Now and save $200. Join more than 1,000 of your peers at the Value Chain Summit to learn how smart companies are transforming their supply chains into information-driven value chains. This unparalleled experience will give you the tools you need to drive innovation and maximize revenue. Date: February 3-5, 2014 Location: San Jose McEnery Convention Center Click here to learn more Thought-Leading Speakers Top minds and tech experts across industries will share the secrets of their success, firsthand. Prepare to be inspired by speakers like Geoffrey Moore, business advisor to Cisco, HP, and Microsoft and best-selling author of six books, including Crossing the Chasm. Customized Experiences Choose from more than 200 sessions offering deep dives on every aspect of supply chain management: Product Value Chain, Procurement, Maintenance, Manufacturing, Value Chain Execution, and Value Chain Planning. Unrivaled Insight & Solutions Hands-on workshops, product demonstrations, and interactive breakouts will showcase new value chain solutions and best practices to help you: -  Grow profit margins -  Build products – faster and cheaper -  Expedite delivery -  Increase customer satisfaction You don't want to miss this once-a-year event. Register Now to secure the Early Bird rate of $495 - the lowest price available.

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  • Become an Oracle BI or Hyperion Ace Director

    - by Mike.Hallett(at)Oracle-BI&EPM
    Now you are a specialised Partner, how can you go even further to differentiate yourself as a real expert in the field, and cement closer links with Oracle’s R&D and Strategy teams ? Become an Oracle BI or Hyperion ACE Director , and you get more air-time to publish your ideas and stories throughout the Oracle network, and thereby promote yourself and your company.  Often ACE Directors get more involvement in product development advisory boards and Beta testing programmes. What is the Oracle ACE Program? The Oracle ACE Program is designed to recognize and reward members of the Oracle Technology and Applications communities for their contributions to those communities. These individuals are technically proficient and willingly share their knowledge and experiences.  Read the FAQ for more details.

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  • Oracle NoSQL Database Exceeds 1 Million Mixed YCSB Ops/Sec

    - by Charles Lamb
    We ran a set of YCSB performance tests on Oracle NoSQL Database using SSD cards and Intel Xeon E5-2690 CPUs with the goal of achieving 1M mixed ops/sec on a 95% read / 5% update workload. We used the standard YCSB parameters: 13 byte keys and 1KB data size (1,102 bytes after serialization). The maximum database size was 2 billion records, or approximately 2 TB of data. We sized the shards to ensure that this was not an "in-memory" test (i.e. the data portion of the B-Trees did not fit into memory). All updates were durable and used the "simple majority" replica ack policy, effectively 'committing to the network'. All read operations used the Consistency.NONE_REQUIRED parameter allowing reads to be performed on any replica. In the past we have achieved 100K ops/sec using SSD cards on a single shard cluster (replication factor 3) so for this test we used 10 shards on 15 Storage Nodes with each SN carrying 2 Rep Nodes and each RN assigned to its own SSD card. After correcting a scaling problem in YCSB, we blew past the 1M ops/sec mark with 8 shards and proceeded to hit 1.2M ops/sec with 10 shards.  Hardware Configuration We used 15 servers, each configured with two 335 GB SSD cards. We did not have homogeneous CPUs across all 15 servers available to us so 12 of the 15 were Xeon E5-2690, 2.9 GHz, 2 sockets, 32 threads, 193 GB RAM, and the other 3 were Xeon E5-2680, 2.7 GHz, 2 sockets, 32 threads, 193 GB RAM.  There might have been some upside in having all 15 machines configured with the faster CPU, but since CPU was not the limiting factor we don't believe the improvement would be significant. The client machines were Xeon X5670, 2.93 GHz, 2 sockets, 24 threads, 96 GB RAM. Although the clients had 96 GB of RAM, neither the NoSQL Database or YCSB clients require anywhere near that amount of memory and the test could have just easily been run with much less. Networking was all 10GigE. YCSB Scaling Problem We made three modifications to the YCSB benchmark. The first was to allow the test to accommodate more than 2 billion records (effectively int's vs long's). To keep the key size constant, we changed the code to use base 32 for the user ids. The second change involved to the way we run the YCSB client in order to make the test itself horizontally scalable.The basic problem has to do with the way the YCSB test creates its Zipfian distribution of keys which is intended to model "real" loads by generating clusters of key collisions. Unfortunately, the percentage of collisions on the most contentious keys remains the same even as the number of keys in the database increases. As we scale up the load, the number of collisions on those keys increases as well, eventually exceeding the capacity of the single server used for a given key.This is not a workload that is realistic or amenable to horizontal scaling. YCSB does provide alternate key distribution algorithms so this is not a shortcoming of YCSB in general. We decided that a better model would be for the key collisions to be limited to a given YCSB client process. That way, as additional YCSB client processes (i.e. additional load) are added, they each maintain the same number of collisions they encounter themselves, but do not increase the number of collisions on a single key in the entire store. We added client processes proportionally to the number of records in the database (and therefore the number of shards). This change to the use of YCSB better models a use case where new groups of users are likely to access either just their own entries, or entries within their own subgroups, rather than all users showing the same interest in a single global collection of keys. If an application finds every user having the same likelihood of wanting to modify a single global key, that application has no real hope of getting horizontal scaling. Finally, we used read/modify/write (also known as "Compare And Set") style updates during the mixed phase. This uses versioned operations to make sure that no updates are lost. This mode of operation provides better application behavior than the way we have typically run YCSB in the past, and is only practical at scale because we eliminated the shared key collision hotspots.It is also a more realistic testing scenario. To reiterate, all updates used a simple majority replica ack policy making them durable. Scalability Results In the table below, the "KVS Size" column is the number of records with the number of shards and the replication factor. Hence, the first row indicates 400m total records in the NoSQL Database (KV Store), 2 shards, and a replication factor of 3. The "Clients" column indicates the number of YCSB client processes. "Threads" is the number of threads per process with the total number of threads. Hence, 90 threads per YCSB process for a total of 360 threads. The client processes were distributed across 10 client machines. Shards KVS Size Clients Mixed (records) Threads OverallThroughput(ops/sec) Read Latencyav/95%/99%(ms) Write Latencyav/95%/99%(ms) 2 400m(2x3) 4 90(360) 302,152 0.76/1/3 3.08/8/35 4 800m(4x3) 8 90(720) 558,569 0.79/1/4 3.82/16/45 8 1600m(8x3) 16 90(1440) 1,028,868 0.85/2/5 4.29/21/51 10 2000m(10x3) 20 90(1800) 1,244,550 0.88/2/6 4.47/23/53

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