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  • Custom Lookup Provider For NetBeans Platform CRUD Tutorial

    - by Geertjan
    For a long time I've been planning to rewrite the second part of the NetBeans Platform CRUD Application Tutorial to integrate the loosely coupled capabilities introduced in a seperate series of articles based on articles by Antonio Vieiro (a great series, by the way). Nothing like getting into the Lookup stuff right from the get go (rather than as an afterthought)! The question, of course, is how to integrate the loosely coupled capabilities in a logical way within that tutorial. Today I worked through the tutorial from scratch, up until the point where the prototype is completed, i.e., there's a JTextArea displaying data pulled from a database. That brought me to the place where I needed to be. In fact, as soon as the prototype is completed, i.e., the database connection has been shown to work, the whole story about Lookup.Provider and InstanceContent should be introduced, so that all the subsequent sections, i.e., everything within "Integrating CRUD Functionality" will be done by adding new capabilities to the Lookup.Provider. However, before I perform open heart surgery on that tutorial, I'd like to run the scenario by all those reading this blog who understand what I'm trying to do! (I.e., probably anyone who has read this far into this blog entry.) So, this is what I propose should happen and in this order: Point out the fact that right now the database access code is found directly within our TopComponent. Not good. Because you're mixing view code with data code and, ideally, the developers creating the user interface wouldn't need to know anything about the data access layer. Better to separate out the data access code into a separate class, within the CustomerLibrary module, i.e., far away from the module providing the user interface, with this content: public class CustomerDataAccess { public List<Customer> getAllCustomers() { return Persistence.createEntityManagerFactory("CustomerLibraryPU"). createEntityManager().createNamedQuery("Customer.findAll").getResultList(); } } Point out the fact that there is a concept of "Lookup" (which readers of the tutorial should know about since they should have followed the NetBeans Platform Quick Start), which is a registry into which objects can be published and to which other objects can be listening. In the same way as a TopComponent provides a Lookup, as demonstrated in the NetBeans Platform Quick Start, your own object can also provide a Lookup. So, therefore, let's provide a Lookup for Customer objects.  import org.openide.util.Lookup; import org.openide.util.lookup.AbstractLookup; import org.openide.util.lookup.InstanceContent; public class CustomerLookupProvider implements Lookup.Provider { private Lookup lookup; private InstanceContent instanceContent; public CustomerLookupProvider() { // Create an InstanceContent to hold capabilities... instanceContent = new InstanceContent(); // Create an AbstractLookup to expose the InstanceContent... lookup = new AbstractLookup(instanceContent); // Add a "Read" capability to the Lookup of the provider: //...to come... // Add a "Update" capability to the Lookup of the provider: //...to come... // Add a "Create" capability to the Lookup of the provider: //...to come... // Add a "Delete" capability to the Lookup of the provider: //...to come... } @Override public Lookup getLookup() { return lookup; } } Point out the fact that, in the same way as we can publish an object into the Lookup of a TopComponent, we can now also publish an object into the Lookup of our CustomerLookupProvider. Instead of publishing a String, as in the NetBeans Platform Quick Start, we'll publish an instance of our own type. And here is the type: public interface ReadCapability { public void read() throws Exception; } And here is an implementation of our type added to our Lookup: public class CustomerLookupProvider implements Lookup.Provider { private Set<Customer> customerSet; private Lookup lookup; private InstanceContent instanceContent; public CustomerLookupProvider() { customerSet = new HashSet<Customer>(); // Create an InstanceContent to hold capabilities... instanceContent = new InstanceContent(); // Create an AbstractLookup to expose the InstanceContent... lookup = new AbstractLookup(instanceContent); // Add a "Read" capability to the Lookup of the provider: instanceContent.add(new ReadCapability() { @Override public void read() throws Exception { ProgressHandle handle = ProgressHandleFactory.createHandle("Loading..."); handle.start(); customerSet.addAll(new CustomerDataAccess().getAllCustomers()); handle.finish(); } }); // Add a "Update" capability to the Lookup of the provider: //...to come... // Add a "Create" capability to the Lookup of the provider: //...to come... // Add a "Delete" capability to the Lookup of the provider: //...to come... } @Override public Lookup getLookup() { return lookup; } public Set<Customer> getCustomers() { return customerSet; } } Point out that we can now create a new instance of our Lookup (in some other module, so long as it has a dependency on the module providing the CustomerLookupProvider and the ReadCapability), retrieve the ReadCapability, and then do something with the customers that are returned, here in the rewritten constructor of the TopComponent, without needing to know anything about how the database access is actually achieved since that is hidden in the implementation of our type, above: public CustomerViewerTopComponent() { initComponents(); setName(Bundle.CTL_CustomerViewerTopComponent()); setToolTipText(Bundle.HINT_CustomerViewerTopComponent()); // EntityManager entityManager = Persistence.createEntityManagerFactory("CustomerLibraryPU").createEntityManager(); // Query query = entityManager.createNamedQuery("Customer.findAll"); // List<Customer> resultList = query.getResultList(); // for (Customer c : resultList) { // jTextArea1.append(c.getName() + " (" + c.getCity() + ")" + "\n"); // } CustomerLookupProvider lookup = new CustomerLookupProvider(); ReadCapability rc = lookup.getLookup().lookup(ReadCapability.class); try { rc.read(); for (Customer c : lookup.getCustomers()) { jTextArea1.append(c.getName() + " (" + c.getCity() + ")" + "\n"); } } catch (Exception ex) { Exceptions.printStackTrace(ex); } } Does the above make as much sense to others as it does to me, including the naming of the classes? Feedback would be appreciated! Then I'll integrate into the tutorial and do the same for the other sections, i.e., "Create", "Update", and "Delete". (By the way, of course, the tutorial ends up showing that, rather than using a JTextArea to display data, you can use Nodes and explorer views to do so.)

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  • IBM Keynote: (hardware,software)–>{IBM.java.patterns}

    - by Janice J. Heiss
    On Sunday evening, September 30, 2012, Jason McGee, IBM Distinguished Engineer and Chief Architect Cloud Computing, along with John Duimovich IBM Distinguished Engineer and Java CTO, gave an information- and idea-rich keynote that left Java developers with much to ponder.Their focus was on the challenges to make Java more efficient and productive given the hardware and software environments of 2012. “One idea that is very interesting is the idea of multi-tenancy,” said McGee, “and how we can move up the spectrum. In traditional systems, we ran applications on dedicated middleware, operating systems and hardware. A lot of customers still run that way. Now people introduce hardware virtualization and share the hardware. That is good but there is a lot more we can do. We can share middleware and the application itself.” McGee challenged developers to better enable the Java language to function in these higher density models. He spoke about the need to describe patterns that help us grasp the full environment that an application needs, whether it’s a web or full enterprise application. Developers need to understand the resources that an application interacts with in a way that is simple and straightforward. The task is to then automate that deployment so that the complexity of infrastructure can be by-passed and developers can live in a simpler world where the cloud can automatically configure the needed environment. McGee argued that the key, something IBM has been working on, is to use a simpler pattern that allows a cloud-based architecture to embrace the entire infrastructure required for an application and make it highly available, scalable and able to recover from failure. The cloud-based architecture would automate the complexity of setting up and managing the infrastructure. IBM has been trying to realize this vision for customers so they can describe their Java application environment simply and allow the cloud to automate the deployment and management of applications. “The point,” explained McGee, “is to package the executable used to describe applications, to drop it into a shared system and let that system provide some intelligence about how to deploy and manage those applications.”John Duimovich on Improvements in JavaMcGee then brought onstage IBM’s Distinguished Engineer and CTO for Java, John Duimovich, who showed the audience ways to deploy Java applications more efficiently.Duimovich explained that, “When you run lots of copies of Java in the cloud or any hypervisor virtualized system, there are a lot of duplications of code and jar files. IBM has a facility called ‘shared classes’ where we put shared code, read only artefacts in a cache that is sharable across hypervisors.” By putting JIT code in ahead of time, he explained that the application server will use 20% less memory and operate 30% faster.  He described another example of how the JVM allows for the maximum amount of sharing that manages the tenants and file sockets and memory use through throttling and control. Duimovich touched on the “thin is in” model and IBM’s Liberty Profile and lightweight runtime for the cloud, which allows for greater efficiency in interacting with the cloud.Duimovich discussed the confusion Java developers experience when, for example, the hypervisor tells them that that they have 8 and then 4 and then 16 cores. “Because hypervisors are virtualized, they can change based on resource needs across the hypervisor layer. You may have 10 instances of an operation system and you may need to reallocate memory, " explained Duimovich.  He showed how to resize LPARs, reallocate CPUs and migrate applications as needed. He explained how application servers can resize thread pools and better use resources based on information from the hypervisors.Java Challenges in Hardware and SoftwareMcGee ended the keynote with a summary of upcoming hardware and software challenges for the Java platform. He noted that one reason developers love Java is it allows them to ignore differences in hardware. He stated that the most important things happening in hardware were in network and storage – in developments such as the speed of SSD, the exploitation of high-speed, low-latency networking, and recent developments such as storage-class memory, and non-volatile main memory. “So we are challenged to maintain the benefits of Java and the abstraction it provides from hardware while still exploiting the new innovations in hardware,” said McGee.McGee discussed transactional messaging applications where developers send messages transactionally persist a message to storage, something traditionally done by backing messages on spinning disks, something mostly outdated. “Now,” he pointed out, “we would use SSD and store it in Flash and get 70,000 messages a second. If we stored it using a PCI express-based flash memory device, it is still Flash but put on a PCI express bus on a card closer to the CPU. This way I get 300,000 messages a second and 25% improvement in latency.” McGee’s central point was that hardware has a huge impact on the performance and scalability of applications. New technologies are enabling developers to build classes of Java applications previously unheard of. “We need to be able to balance these things in Java – we need to maintain the abstraction but also be able to exploit the evolution of hardware technology,” said McGee. According to McGee, IBM's current focus is on systems wherein hardware and software are shipped together in what are called Expert Integrated Systems – systems that are pre-optimized, and pre-integrated together. McGee closed IBM’s engaging and thought-provoking keynote by pointing out that the use of Java in complex applications is increasingly being augmented by a host of other languages with strong communities around them – JavaScript, JRuby, Scala, Python and so forth. Java developers now must understand the strengths and weaknesses of such newcomers as applications increasingly involve a complex interconnection of languages.

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  • Thank You MySQL Community! MySQL 5.6.9 Release Candidate Available Now!

    - by Rob Young
    The MySQL Community continues its good work in testing and refining MySQL 5.6, and as such the next iteration of the 5.6 Release Candidate is now available for download.  You can get MySQL 5.6.9 here (look under the "Development Releases" tab).  This version is the result of feedback we have gotten since MySQL 5.6.7 was announced at MySQL Connect in late September. As iron sharpens iron, Community feedback sharpens the quality and performance of MySQL so please download 5.6.9 and let us know how we can improve it as we move toward the production-ready product release in early 2013. MySQL 5.6 is designed to meet the agility demands of the next generation of web apps and services and includes across the board improvements to the Optimizer, InnoDB performance/scale and online DDL operations, self-healing Replication, Performance Schema Instrumentation, Security and developer enabling NoSQL functionality.  You can learn all the details and follow MySQL Engineering blogs on all of the key features in this MySQL DevZone article. On a related note, plan to join this week's live webinars to learn more about MySQL 5.6 Self-Healing Replication Clusters and Building the Next Generation of Web, Cloud, SaaS, Embedded Application and Services with MySQL 5.6.  Hurry!  Seating is limited!  As always, thanks for your continued support of MySQL!

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  • OAGi Architecture Council OAGIS Ten Work Group Completes first round review of Concepts for OAGIS Te

    - by michael.rowell
    Today the OAGi Architecture Council OAGIS Ten Work group completed the first level review of concepts for existing content for OAGIS Ten. This is one of the first milestones for OAGIS Ten. In doing this the concepts of key objects (the Nouns) have been identified along with the key context for their use. While OAGIS Ten remains a work-in-process the work group shows progress. Going forward the other councils will provide additional input to these and there own concepts and the contexts for each. Additionally, sub groups will focus on concepts for given domains. Stay tuned for future progress. If anyone is interested in joining the effort. OAGi membership is open to anyone, please see the OAGi Web site.

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  • Tip #13 java.io.File Surprises

    - by ByronNevins
    There is an assumption that I've seen in code many times that is totally wrong.  And this assumption can easily bite you.  The assumption is: File.getAbsolutePath and getAbsoluteFile return paths that are not relative.  Not true!  Sort of.  At least not in the way many people would assume.  All they do is make sure that the beginning of the path is absolute.  The rest of the path can be loaded with relative path elements.  What do you think the following code will print? public class Main {    public static void main(String[] args) {        try {            File f = new File("/temp/../temp/../temp/../");            File abs  = f.getAbsoluteFile();            File parent = abs.getParentFile();            System.out.println("Exists: " + f.exists());            System.out.println("Absolute Path: " + abs);            System.out.println("FileName: " + abs.getName());            System.out.printf("The Parent Directory of %s is %s\n", abs, parent);            System.out.printf("The CANONICAL Parent Directory of CANONICAL %s is %s\n",                        abs, abs.getCanonicalFile().getParent());            System.out.printf("The CANONICAL Parent Directory of ABSOLUTE %s is %s\n",                        abs, parent.getCanonicalFile());            System.out.println("Canonical Path: " + f.getCanonicalPath());        }        catch (IOException ex) {            System.out.println("Got an exception: " + ex);        }    }} Output: Exists: trueAbsolute Path: D:\temp\..\temp\..\temp\..FileName: ..The Parent Directory of D:\temp\..\temp\..\temp\.. is D:\temp\..\temp\..\tempThe CANONICAL Parent Directory of CANONICAL D:\temp\..\temp\..\temp\.. is nullThe CANONICAL Parent Directory of ABSOLUTE D:\temp\..\temp\..\temp\.. is D:\tempCanonical Path: D:\ Notice how it says that the parent of d:\ is d:\temp !!!The file, f, is really the root directory.  The parent is supposed to be null. I learned about this the hard way! getParentXXX simply hacks off the final item in the path. You can get totally unexpected results like the above. Easily. I filed a bug on this behavior a few years ago[1].   Recommendations: (1) Use getCanonical instead of getAbsolute.  There is a 1:1 mapping of files and canonical filenames.  I.e each file has one and only one canonical filename and it will definitely not have relative path elements in it.  There are an infinite number of absolute paths for each file. (2) To get the parent file for File f do the following instead of getParentFile: File parent = new File(f, ".."); [1] http://bt2ws.central.sun.com/CrPrint?id=6687287

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  • Java Embedded @ JavaOne

    - by sasa
    2012?9?30??10?4?????????????????JavaOne????????????????????????????????Java?????????????????????????????JavaOne???10?3??4??????????????????????????·????????Java Embedded @ JavaOne??????????? JavaOne???????????JavaOne Embedded @ JavaOne??????????????????????????????????????Java SE Embedded?????????????????????????Java??????????????????????????? ????????????Java Embedded @ JavaOne??????9?7???$595?9?28???$795??????$995????????????????????JavaOne??????????????????100??????????

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  • OpenJDK DIO Project Now Live! Java SE Embedded API Accessing Peripherals

    - by hinkmond
    The DIO project on OpenJDK is now live! For those who grew up in the 1970's and 1980's, you might remember Ronnie James Dio, lead singer of Black Sabbath after Ozzy was fired, and lead singer of his own band, Dio. Well, this DIO is not that Dio. This DIO is the OpenJDK Device I/O project which provides a Java-level API for accessing generic device peripherals on embedded devices, like your Raspberry Pi running Java SE Embedded software. See: OpenJDK DIO Project Here's a quote: + General Purpose Input/Output (GPIO) + Inter-Integrated Circuit Bus (I2C) + Universal Asynchronous Receiver/Transmitter (UART) + Serial Peripheral Interface If you're familiar with Pi4J, then you're going to like DIO. And, if you liked Ozzy, you probably liked Ronnie James Dio. This will probably make Robert Savage happy too. The part about DIO being live now, not the part about Dio replacing Ozzy, because everyone likes Ozzy. Hinkmond

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  • Using Asset Groups

    - by Owen Allen
    I got a question about putting assets in groups: "I'm planning on installing some agents manually on existing systems, and I want to have them put in a specific asset group once they're discovered. I don't see any way to tell the install script to put the asset in a group. How can I add the assets to a group, either through the UI or the CLI?" There are a few ways. In the CLI, you can use groups mode, and use this command to add an asset to a group: attach -n| --gear <asset name> -g| --group <group> You can also use -U| --uuid <UUID> to specify the asset if you have multiple assets with the same name. In the UI, you have a couple of options. You can select an asset and click Add Asset to Group to add it to a group you select. Alternatively, if you're trying to make a group for assets with a specific characteristic, you can specify rules that will automatically add assets to a group based on that characteristic.

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  • SSAS: Utility to check you have the correct data types and sizes in your cube definition

    - by DrJohn
    This blog describes a tool I developed which allows you to compare the data types and data sizes found in the cube’s data source view with the data types/sizes of the corresponding dimensional attribute.  Why is this important?  Well when creating named queries in a cube’s data source view, it is often necessary to use the SQL CAST or CONVERT operation to change the data type to something more appropriate for SSAS.  This is particularly important when your cube is based on an Oracle data source or using custom SQL queries rather than views in the relational database.   The problem with BIDS is that if you change the underlying SQL query, then the size of the data type in the dimension does not update automatically.  This then causes problems during deployment whereby processing the dimension fails because the data in the relational database is wider than that allowed by the dimensional attribute. In particular, if you use some string manipulation functions provided by SQL Server or Oracle in your queries, you may find that the 10 character string you expect suddenly turns into an 8,000 character monster.  For example, the SQL Server function REPLACE returns column with a width of 8,000 characters.  So if you use this function in the named query in your DSV, you will get a column width of 8,000 characters.  Although the Oracle REPLACE function is far more intelligent, the generated column size could still be way bigger than the maximum length of the data actually in the field. Now this may not be a problem when prototyping, but in your production cubes you really should clean up this kind of thing as these massive strings will add to processing times and storage space. Similarly, you do not want to forget to change the size of the dimension attribute if your database columns increase in size. Introducing CheckCubeDataTypes Utiltity The CheckCubeDataTypes application extracts all the data types and data sizes for all attributes in the cube and compares them to the data types and data sizes in the cube’s data source view.  It then generates an Excel CSV file which contains all this metadata along with a flag indicating if there is a mismatch between the DSV and the dimensional attribute.  Note that the app not only checks all the attribute keys but also the name and value columns for each attribute. Another benefit of having the metadata held in a CSV text file format is that you can place the file under source code control.  This allows you to compare the metadata of the previous cube release with your new release to highlight problems introduced by new development. You can download the C# source code from here: CheckCubeDataTypes.zip A typical example of the output Excel CSV file is shown below - note that the last column shows a data size mismatch by TRUE appearing in the column

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  • Patrick Curran Session-Keynote at DOAG 2012

    - by Heather VanCura
    Patrick Curran, Chair of the  Java Community Process (JCP) and Director of the JCP Program Management Office, will be speaking this week at the DOAG 2012 event in Nuremberg Germany. Keynote Java: Restructuring the Java Community ProcessNovember, 22nd | 09:00-09:45 am The Java Community Process (JCP) plays a critical role in the evolution of Java.  This keynote will explain how the JCP is organized and how interested members of the Java community - commercial organizations, non-profits, Java user-groups, and individual developers - work together to advance the Java language and platforms. It will then discuss recent and upcoming changes to the JCP's structure and operating processes, and will explain how these changes ('JCP.next') will make the organization more efficient and will ensure that its work is carried out in a more open and more transparent manner.

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  • JSF 2.2 recent progress - Early Draft

    - by alexismp
    JSF specification lead Ed Burns has an update on the progress of JSF 2.2, another component which should be required as part of the upcoming Java EE 7 standard. This includes a reminder of the scope of this specification, the availability of the early draft and height specific features that are being worked on and split into "Mostly Specified Features" and "Not Yet Fully Specified Features" (I think you can read the latter as "at risk"). My favorite is "763-EverythingIsInjectable". Remember that JSF 2.2 is due out in the middle of 2012 which is in time to be integrated in the Java EE 7 platform JSR (currently scheduled for second half of 2012). In the mean time, JSF 2.2 nightly builds are available.

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  • First JSRs Proposed for Java EE 7

    - by Jacob Lehrbaum
    With the approval of Java SE 7 and Java SE 8 JSRs last month, attention is now shifting towards the Java EE platform.  While functionality pegged for Java EE 7 was previewed at least as early as Devoxx, the filing of these JSRs marks the first, officially proposed, specifications for the next generation of the popular application server standard.  Let's take a quick look at the proposed new functionality.Java Persistence API 2.1The first of the new proposed specifications is JSR 338: Java Persistence API (JPA) 2.1. JPA is designed for use with both Java EE and Java SE and: "deals with the way relational data is mapped to Java objects ("persistent entities"), the way that these objects are stored in a relational database so that they can be accessed at a later time, and the continued existence of an entity's state even after the application that uses it ends. In addition to simplifying the entity persistence model, the Java Persistence API standardizes object-relational mapping." (more about JPA)JAX-RS 2.0The second of the new Java specifications that have been proposed is JSR 339, otherwise known as JAX-RS 2.0. JAX-RS provides an API that enables the easy creation of web services using the Representational State Transfer (REST) architecture.  Key features proposed in the new JSR include a Client API, improved support for URIs, a Model-View-Controller architecture and much more!More informationOfficial proposal for Java Persistence 2.1 (jcp.org)Official proposal for JAX-RS 2.0 (jcp.org)Kicking off Java EE 7 with 2 JSRs: JAX-RS 2.0 / JPA 2.1 (the Aquarium)

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  • Ops Center zip documentation

    - by Owen Allen
    If you're operating in a dark site, or are otherwise without easy access to the internet, it can be tricky to get access to the docs. The readme comes along with the product, but that's not exactly the same as the whole doc library. Well, we've put a zip file with the whole doc library contents up on the main doc page. So, if you are in a site without internet access, you can get the zip, extract it, and have a portable version of the site, including the pdf and html versions of all of the docs.

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  • Eine gelöschte APEX-Anwendung wiederherstellen ...? Das geht!

    - by carstenczarski
    Eine versehentlich gelöschte APEX-Anwendung lässt sich tatsächlich wiederherstellen; allerdings darf seit dem Löschen nicht allzuviel Zeit vergangen sein. Grundlage ist die Möglichkeit, Flashback-Funktionen beim Anwendungsexport zu nutzen. Doch wie soll man die zu exportierende Anwendung einstellen ...? In der Auswahlliste für die zu exportierende Anwendung fehlt sie natürlich, denn sie ist ja gelöscht. Hier hilft ein Trick: Legen Sie einfach eine neue Anwendung an - diese muss die gleiche ID haben, wie die, die versehentlich gelöscht wurde. Und voilá: Nun können Sie die Anwendung auswählen; tragen Sie bei As Of soviele Minuten ein, dass der Export zu einer Zeit stattfindet, als die "alte" Anwendung noch da war und exportieren Sie. Sie erhalten die verlorene Anwendung zurück. Wie weit Sie "in die Vergangenheit" zurückkommen, hängt von der Konfiguration des Datenbankservers (hier: der UNDO-Tablespace) durch den Administrator ab. Realistisch sind meist 10 bis 30 Minuten. Wenn Sie APEX-Entwicklungsstände auch über längere Zeiträume hinweg wiederherstellen möchten, bietet sich der regelmäßige, skriptgesteuerte Export per Kommandozeile und das Einchecken der Exportdateien in ein Versionskonstrollsystem an.

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  • Do your filesystems have un-owned files ?

    - by darrenm
    As part of our work for integrated compliance reporting in Solaris we plan to provide a check for determining if the system has "un-owned files", ie those which are owned by a uid that does not exist in our configured nameservice.  Tests such as this already exist in the Solaris CIS Benchmark (9.24 Find Un-owned Files and Directories) and other security benchmarks. The obvious method of doing this would be using find(1) with the -nouser flag.  However that requires we bring into memory the metadata for every single file and directory in every local file system we have mounted.  That is probaby not an acceptable thing to do on a production system that has a large amount of storage and it is potentially going to take a long time. Just as I went to bed last night an idea for a much faster way of listing file systems that have un-owned files came to me. I've now implemented it and I'm happy to report it works very well and peforms many orders of magnatude better than using find(1) ever will.   ZFS (since pool version 15) has per user space accounting and quotas.  We can report very quickly and without actually reading any files at all how much space any given user id is using on a ZFS filesystem.  Using that information we can implement a check to very quickly list which filesystems contain un-owned files. First a few caveats because the output data won't be exactly the same as what you get with find but it answers the same basic question.  This only works for ZFS and it will only tell you which filesystems have files owned by unknown users not the actual files.  If you really want to know what the files are (ie to give them an owner) you still have to run find(1).  However it has the huge advantage that it doesn't use find(1) so it won't be dragging the metadata for every single file and directory on the system into memory. It also has the advantage that it can check filesystems that are not mounted currently (which find(1) can't do). It ran in about 4 seconds on a system with 300 ZFS datasets from 2 pools totalling about 3.2T of allocated space, and that includes the uid lookups and output. #!/bin/sh for fs in $(zfs list -H -o name -t filesystem -r rpool) ; do unknowns="" for uid in $(zfs userspace -Hipn -o name,used $fs | cut -f1); do if [ -z "$(getent passwd $uid)" ]; then unknowns="$unknowns$uid " fi done if [ ! -z "$unknowns" ]; then mountpoint=$(zfs list -H -o mountpoint $fs) mounted=$(zfs list -H -o mounted $fs) echo "ZFS File system $fs mounted ($mounted) on $mountpoint \c" echo "has files owned by unknown user ids: $unknowns"; fi done Sample output: ZFS File system rpool/ROOT/solaris-30/var mounted (no) on /var has files owned by unknown user ids: 6435 33667 101 ZFS File system rpool/ROOT/solaris-32/var mounted (yes) on /var has files owned by unknown user ids: 6435 33667ZFS File system builds/bob mounted (yes) on /builds/bob has files owned by unknown user ids: 101 Note that the above might not actually appear exactly like that in any future Solaris product or feature, it is provided just as an example of what you can do with ZFS user space accounting to answer questions like the above.

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  • Twitte API for Java - Hello Twitter Servlet (TOTD #178)

    - by arungupta
    There are a few Twitter APIs for Java that allow you to integrate Twitter functionality in a Java application. This is yet another API, built using JAX-RS and Jersey stack. I started this effort earlier this year and kept delaying to share because wanted to provide a more comprehensive API. But I've delayed enough and releasing it as a work-in-progress. I'm happy to take contributions in order to evolve this API and make it complete, useful, and robust. Drop a comment on the blog if you are interested or ping me at @arungupta. How do you get started ? Just add the following to your "pom.xml": <dependency> <groupId>org.glassfish.samples</groupId> <artifactId>twitter-api</artifactId> <version>1.0-SNAPSHOT</version></dependency> The implementation of this API uses Jersey OAuth Filters for authentication with Twitter and so the following dependencies are required if any API that requires authentication, which is pretty much all the APIs ;-) <dependency> <groupId>com.sun.jersey.contribs.jersey-oauth</groupId>     <artifactId>oauth-client</artifactId>     <version>${jersey.version}</version> </dependency> <dependency>     <groupId>com.sun.jersey.contribs.jersey-oauth</groupId>     <artifactId>oauth-signature</artifactId>     <version>${jersey.version}</version> </dependency> Once the dependencies are added to your project, inject Twitter  API in your Servlet (or any other Java EE component) as: @Inject Twitter twitter; Here is a simple non-secure invocation of the API to get you started: SearchResults result = twitter.search("glassfish", SearchResults.class);for (SearchResultsTweet t : result.getResults()) { out.println(t.getText() + "<br/>");} This code returns the tweets that matches the query "glassfish". The source code for the complete project can be downloaded here. Download it, unzip, and mvn package will build the .war file. And then deploy it on GlassFish or any other Java EE 6 compliant application server! The source code for the API also acts as the javadocs and can be checked out from here. A more detailed sample using security and several other API from this library is coming soon!

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  • How to Calculate TCP Socket Buffer Sizes for Data Guard Environments

    - by alejandro.vargas
    The MAA best practices contains an example of how to calculate the optimal TCP socket buffer sizes, that is quite important for very busy Data Guard environments, this document Formula to Calculate TCP Socket Buffer Sizes.pdf contains an example of using the instructions provided on the best practices document. In order to execute the calculation you need to know which is the band with or your network interface, usually will be 1Gb, on my example is a 10Gb network; and the round trip time, RTT, that is the time it takes for a packet to make a travel to the other end of the network and come back, on my example that was provided by the network administrator and was 3 ms (1000/seconds)

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  • Creating a Successful Cloud Roadmap

    - by stephen.g.bennett
    No matter what type of cloud services or deployment models you are considering as part of your overall IT strategy, you must have a cloud services adoption roadmap to guide your journey. A cloud services adoption roadmap provides guidance that enables multiple projects to progress in parallel yet remain coordinated and ultimately result in a common end goal. The cloud services adoption roadmap consists of program-level efforts and a portfolio of cloud services. The program-level effort creates strategic assets such as the cloud architecture, cloud infrastructure, cloud governance, risk, and compliance (GRC) processes, and security policies that are leveraged across all the individual projects. A feature article on this topic can be found in the latest SOA and Cloud Magazine.

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  • Preventing Users From Accessing wp-admin

    - by Gary Pendergast
    If you have a WordPress site that you allow people to sign up for, you often don’t want them to be able to access wp-admin. It’s not that there are any security issues, you just want to ensure that your users are accessing your site in a predictable manner.To block non-admin users from getting into wp-admin, you just need to add the following code to your functions.php, or somewhere similar:add_action( 'init', 'blockusers_init' );   function blockusers_init() { if ( is_admin() && ! current_user_can( 'administrator' ) ) { wp_redirect( home_url() ); exit; } }Ta-da! Now, only administrator users can access wp-admin, everyone else will be re-directed to the homepage.

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  • WebSocket Samples in GlassFish 4 build 66 - javax.websocket.* package: TOTD #190

    - by arungupta
    This blog has published a few blogs on using JSR 356 Reference Implementation (Tyrus) integrated in GlassFish 4 promoted builds. TOTD #183: Getting Started with WebSocket in GlassFish TOTD #184: Logging WebSocket Frames using Chrome Developer Tools, Net-internals and Wireshark TOTD #185: Processing Text and Binary (Blob, ArrayBuffer, ArrayBufferView) Payload in WebSocket TOTD #186: Custom Text and Binary Payloads using WebSocket TOTD #189: Collaborative Whiteboard using WebSocket in GlassFish 4 The earlier blogs created a WebSocket endpoint as: import javax.net.websocket.annotations.WebSocketEndpoint;@WebSocketEndpoint("websocket")public class MyEndpoint { . . . Based upon the discussion in JSR 356 EG, the package names have changed to javax.websocket.*. So the updated endpoint definition will look like: import javax.websocket.WebSocketEndpoint;@WebSocketEndpoint("websocket")public class MyEndpoint { . . . The POM dependency is: <dependency> <groupId>javax.websocket</groupId> <artifactId>javax.websocket-api</artifactId> <version>1.0-b09</version> </dependency> And if you are using GlassFish 4 build 66, then you also need to provide a dummy EndpointFactory implementation as: import javax.websocket.WebSocketEndpoint;@WebSocketEndpoint(value="websocket", factory=MyEndpoint.DummyEndpointFactory.class)public class MyEndpoint { . . .   class DummyEndpointFactory implements EndpointFactory {    @Override public Object createEndpoint() { return null; }  }} This is only interim and will be cleaned up in subsequent builds. But I've seen couple of complaints about this already and so this deserves a short blog. Have you been tracking the latest Java EE 7 implementations in GlassFish 4 promoted builds ?

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  • Performance Enhancement in Full-Text Search Query

    - by Calvin Sun
    Ever since its first release, we are continuing consolidating and developing InnoDB Full-Text Search feature. There is one recent improvement that worth blogging about. It is an effort with MySQL Optimizer team that simplifies some common queries’ Query Plans and dramatically shorted the query time. I will describe the issue, our solution and the end result by some performance numbers to demonstrate our efforts in continuing enhancement the Full-Text Search capability. The Issue: As we had discussed in previous Blogs, InnoDB implements Full-Text index as reversed auxiliary tables. The query once parsed will be reinterpreted into several queries into related auxiliary tables and then results are merged and consolidated to come up with the final result. So at the end of the query, we’ll have all matching records on hand, sorted by their ranking or by their Doc IDs. Unfortunately, MySQL’s optimizer and query processing had been initially designed for MyISAM Full-Text index, and sometimes did not fully utilize the complete result package from InnoDB. Here are a couple examples: Case 1: Query result ordered by Rank with only top N results: mysql> SELECT FTS_DOC_ID, MATCH (title, body) AGAINST ('database') AS SCORE FROM articles ORDER BY score DESC LIMIT 1; In this query, user tries to retrieve a single record with highest ranking. It should have a quick answer once we have all the matching documents on hand, especially if there are ranked. However, before this change, MySQL would almost retrieve rankings for almost every row in the table, sort them and them come with the top rank result. This whole retrieve and sort is quite unnecessary given the InnoDB already have the answer. In a real life case, user could have millions of rows, so in the old scheme, it would retrieve millions of rows' ranking and sort them, even if our FTS already found there are two 3 matched rows. Apparently, the million ranking retrieve is done in vain. In above case, it should just ask for 3 matched rows' ranking, all other rows' ranking are 0. If it want the top ranking, then it can just get the first record from our already sorted result. Case 2: Select Count(*) on matching records: mysql> SELECT COUNT(*) FROM articles WHERE MATCH (title,body) AGAINST ('database' IN NATURAL LANGUAGE MODE); In this case, InnoDB search can find matching rows quickly and will have all matching rows. However, before our change, in the old scheme, every row in the table was requested by MySQL one by one, just to check whether its ranking is larger than 0, and later comes up a count. In fact, there is no need for MySQL to fetch all rows, instead InnoDB already had all the matching records. The only thing need is to call an InnoDB API to retrieve the count The difference can be huge. Following query output shows how big the difference can be: mysql> select count(*) from searchindex_inno where match(si_title, si_text) against ('people')  +----------+ | count(*) | +----------+ | 666877 | +----------+ 1 row in set (16 min 17.37 sec) So the query took almost 16 minutes. Let’s see how long the InnoDB can come up the result. In InnoDB, you can obtain extra diagnostic printout by turning on “innodb_ft_enable_diag_print”, this will print out extra query info: Error log: keynr=2, 'people' NL search Total docs: 10954826 Total words: 0 UNION: Searching: 'people' Processing time: 2 secs: row(s) 666877: error: 10 ft_init() ft_init_ext() keynr=2, 'people' NL search Total docs: 10954826 Total words: 0 UNION: Searching: 'people' Processing time: 3 secs: row(s) 666877: error: 10 Output shows it only took InnoDB only 3 seconds to get the result, while the whole query took 16 minutes to finish. So large amount of time has been wasted on the un-needed row fetching. The Solution: The solution is obvious. MySQL can skip some of its steps, optimize its plan and obtain useful information directly from InnoDB. Some of savings from doing this include: 1) Avoid redundant sorting. Since InnoDB already sorted the result according to ranking. MySQL Query Processing layer does not need to sort to get top matching results. 2) Avoid row by row fetching to get the matching count. InnoDB provides all the matching records. All those not in the result list should all have ranking of 0, and no need to be retrieved. And InnoDB has a count of total matching records on hand. No need to recount. 3) Covered index scan. InnoDB results always contains the matching records' Document ID and their ranking. So if only the Document ID and ranking is needed, there is no need to go to user table to fetch the record itself. 4) Narrow the search result early, reduce the user table access. If the user wants to get top N matching records, we do not need to fetch all matching records from user table. We should be able to first select TOP N matching DOC IDs, and then only fetch corresponding records with these Doc IDs. Performance Results and comparison with MyISAM The result by this change is very obvious. I includes six testing result performed by Alexander Rubin just to demonstrate how fast the InnoDB query now becomes when comparing MyISAM Full-Text Search. These tests are base on the English Wikipedia data of 5.4 Million rows and approximately 16G table. The test was performed on a machine with 1 CPU Dual Core, SSD drive, 8G of RAM and InnoDB_buffer_pool is set to 8 GB. Table 1: SELECT with LIMIT CLAUSE mysql> SELECT si_title, match(si_title, si_text) against('family') as rel FROM si WHERE match(si_title, si_text) against('family') ORDER BY rel desc LIMIT 10; InnoDB MyISAM Times Faster Time for the query 1.63 sec 3 min 26.31 sec 127 You can see for this particular query (retrieve top 10 records), InnoDB Full-Text Search is now approximately 127 times faster than MyISAM. Table 2: SELECT COUNT QUERY mysql>select count(*) from si where match(si_title, si_text) against('family‘); +----------+ | count(*) | +----------+ | 293955 | +----------+ InnoDB MyISAM Times Faster Time for the query 1.35 sec 28 min 59.59 sec 1289 In this particular case, where there are 293k matching results, InnoDB took only 1.35 second to get all of them, while take MyISAM almost half an hour, that is about 1289 times faster!. Table 3: SELECT ID with ORDER BY and LIMIT CLAUSE for selected terms mysql> SELECT <ID>, match(si_title, si_text) against(<TERM>) as rel FROM si_<TB> WHERE match(si_title, si_text) against (<TERM>) ORDER BY rel desc LIMIT 10; Term InnoDB (time to execute) MyISAM(time to execute) Times Faster family 0.5 sec 5.05 sec 10.1 family film 0.95 sec 25.39 sec 26.7 Pizza restaurant orange county California 0.93 sec 32.03 sec 34.4 President united states of America 2.5 sec 36.98 sec 14.8 Table 4: SELECT title and text with ORDER BY and LIMIT CLAUSE for selected terms mysql> SELECT <ID>, si_title, si_text, ... as rel FROM si_<TB> WHERE match(si_title, si_text) against (<TERM>) ORDER BY rel desc LIMIT 10; Term InnoDB (time to execute) MyISAM(time to execute) Times Faster family 0.61 sec 41.65 sec 68.3 family film 1.15 sec 47.17 sec 41.0 Pizza restaurant orange county california 1.03 sec 48.2 sec 46.8 President united states of america 2.49 sec 44.61 sec 17.9 Table 5: SELECT ID with ORDER BY and LIMIT CLAUSE for selected terms mysql> SELECT <ID>, match(si_title, si_text) against(<TERM>) as rel  FROM si_<TB> WHERE match(si_title, si_text) against (<TERM>) ORDER BY rel desc LIMIT 10; Term InnoDB (time to execute) MyISAM(time to execute) Times Faster family 0.5 sec 5.05 sec 10.1 family film 0.95 sec 25.39 sec 26.7 Pizza restaurant orange county califormia 0.93 sec 32.03 sec 34.4 President united states of america 2.5 sec 36.98 sec 14.8 Table 6: SELECT COUNT(*) mysql> SELECT count(*) FROM si_<TB> WHERE match(si_title, si_text) against (<TERM>) LIMIT 10; Term InnoDB (time to execute) MyISAM(time to execute) Times Faster family 0.47 sec 82 sec 174.5 family film 0.83 sec 131 sec 157.8 Pizza restaurant orange county califormia 0.74 sec 106 sec 143.2 President united states of america 1.96 sec 220 sec 112.2  Again, table 3 to table 6 all showing InnoDB consistently outperform MyISAM in these queries by a large margin. It becomes obvious the InnoDB has great advantage over MyISAM in handling large data search. Summary: These results demonstrate the great performance we could achieve by making MySQL optimizer and InnoDB Full-Text Search more tightly coupled. I think there are still many cases that InnoDB’s result info have not been fully taken advantage of, which means we still have great room to improve. And we will continuously explore the area, and get more dramatic results for InnoDB full-text searches. Jimmy Yang, September 29, 2012

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  • Great Example of Community How-To Doc

    - by ultan o'broin
    Always on the lookout for examples of community doc, and here's a great one: Chet Justice (@oraclenerd) just launched an eBook version (PDF actually) of John Piwowar's (@jpiwowar) very popular multi-part E-Business Suite Installation Guide. You can obtain it using the PayPal buttons here. All in a good cause too. Creation of how-to information like this for functional or technical tasks, along with working examples about post-install steps, configurations and customizations, is what an applications community value-add is all about. Each community is different of course, an Adobe PhotoShop community might be more interested in templates. Great to see the needs of the community being met like this. If you have other examples you'd like to share, then find the comments.

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  • Keeping up with New Releases

    - by Jeremy Smyth
    You can keep up with the latest developments in MySQL software in a number of ways, including various blogs and other channels. However, for the most correct (if somewhat dry and factual) information, you can go directly to the source.  Major Releases  For every major release, the MySQL docs team creates and maintains a "nutshell" page containing the significant changes in that release. For the current GA release (whatever that is) you'll find it at this location: https://dev.mysql.com/doc/mysql/en/mysql-nutshell.html  At the moment, this redirects to the summary notes for MySQL 5.6. The notes for MySQL 5.7 are also available at that website, at the URL http://dev.mysql.com/doc/refman/5.7/en/mysql-nutshell.html, and when eventually that version goes GA, it will become the currently linked notes from the URL shown above. Incremental Releases  For more detail on each incremental release, you can have a look at the release notes for each revision. For MySQL 5.6, the release notes are stored at the following location: http://dev.mysql.com/doc/relnotes/mysql/5.6/en/ At the time I write this, the topmost entry is a link for MySQL 5.6.15. Each linked page shows the changes in that particular version, so if you are currently running 5.6.11 and are interested in what bugs were fixed in versions since then, you can look at each subsequent release and see all changes in glorious detail. One really clever thing you can do with that site is do an advanced Google search to find exactly when a feature was released, and find out its release notes. By using the preceding link in a "site:" directive in Google, you can search only within those pages for an entry. For example, the following Google search shows pages within the release notes that reference the --slow-start-timeout option:     site:http://dev.mysql.com/doc/relnotes/mysql/ "--slow-start-timeout" By running that search, you can see that the option was added in MySQL 5.6.5 and also rolled into MySQL 5.5.20.   White Papers Also, with each major release you can usually find a white paper describing what's new in that release. In MySQL 5.6 there was a "What's new" whitepaper at this location: http://www.mysql.com/why-mysql/white-papers/whats-new-mysql-5-6/ You'll find other white papers at: http://www.mysql.com/why-mysql/white-papers/ Search the page for "5.6" to see any papers dealing specificallly with that version.

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  • API's

    - by raghu.yadav
    lets dump API's here .... // if you want to put/get something in/from the pageFlowScope, use thisMap pfsMap = AdfFacesContext.getCurrentInstance().getPageFlowScope(); pfsMap.put(key, value); // pfsMap.put("#{pageFlowScope.param}, "sample"); pfsMap.get(key); // pfsMap.get("#{pageFlowScope.param} // if you want to set bean's property value, use this MyBackingBean bean = (MyBackingBean)pfsMap.get("my_backing_bean_name"); // the name under which the bean is registered in the task flow bean.setMyParam(newValue);

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