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  • Enterprise 2.0 Conference - this week!

    - by kellsey.ruppel
    We're excited to be at the Enterprise 2.0 Conference in Boston this week! We are looking forward to spending the next few days learning from Enterprise 2.0 thought-leaders and connecting with others who have an interest in social and collaborative technologies. If you are attending the conference, we encourage you to stop by booth #213, as we'd love to speak with you further about your challenges and success when it comes to social business transformation. New to social enterprise? Wondering what it means for your business? Take a look at how Bunny Inc. has transformed to become a social enterprise!

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  • Multi Level Security via Roles

    - by Geertjan
    I'm simulating a small scenario: Users can be dragged into roles; roles can be dragged into role groups. When a drop is made into a role group, a new role is created (WindowManager.getDefault().setRole("")). Then, when the user logs in, they log into a particular role. Depending on the role they log into, a different role group is assigned, which maps to a certain "role" in NetBeans Platform terms, i.e., the related level of security is applied and the related windows open.

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  • New Java EE 6 Hands-On lab, Devoxx-approved!

    - by alexismp
    A new Java EE 6 HOL (Hands-On Lab) was successfully used yesterday at Devoxx with a room packed with enthusiast conference participants. This is new material which covers a lot of Java EE ground in a single document. As it is the case for most GlassFish-related labs, the list of software requirements is dead-simple and short: a recent JDK (6 or 7) and NetBeans 7.x ("Java EE" or "All") which comes with GlassFish. Of course GlassFish can also be downloaded separately and used from other IDEs such as Eclipse and IntelliJ or even (Emacs). The didactic nature of the HOL document should make it useful for anyone interested in learning Java EE 6 on their own time and pace. If you have feedback about the content or about GlassFish, make sure you voice your concerns (or praises) to the GlassFish Users alias as indicated in the document. Feedback will be taken into account in the form of updates to the document as well as enhancements to GlassFish (ideally in 3.1.2).

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  • Exploring TCP throughput with DTrace (2)

    - by user12820842
    Last time, I described how we can use the overlap in distributions of unacknowledged byte counts and send window to determine whether the peer's receive window may be too small, limiting throughput. Let's combine that comparison with a comparison of congestion window and slow start threshold, all on a per-port/per-client basis. This will help us Identify whether the congestion window or the receive window are limiting factors on throughput by comparing the distributions of congestion window and send window values to the distribution of outstanding (unacked) bytes. This will allow us to get a visual sense for how often we are thwarted in our attempts to fill the pipe due to congestion control versus the peer not being able to receive any more data. Identify whether slow start or congestion avoidance predominate by comparing the overlap in the congestion window and slow start distributions. If the slow start threshold distribution overlaps with the congestion window, we know that we have switched between slow start and congestion avoidance, possibly multiple times. Identify whether the peer's receive window is too small by comparing the distribution of outstanding unacked bytes with the send window distribution (i.e. the peer's receive window). I discussed this here. # dtrace -s tcp_window.d dtrace: script 'tcp_window.d' matched 10 probes ^C cwnd 80 10.175.96.92 value ------------- Distribution ------------- count 1024 | 0 2048 | 4 4096 | 6 8192 | 18 16384 | 36 32768 |@ 79 65536 |@ 155 131072 |@ 199 262144 |@@@ 400 524288 |@@@@@@ 798 1048576 |@@@@@@@@@@@@@@@@@@@@@@@@@@@@ 3848 2097152 | 0 ssthresh 80 10.175.96.92 value ------------- Distribution ------------- count 268435456 | 0 536870912 |@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ 5543 1073741824 | 0 unacked 80 10.175.96.92 value ------------- Distribution ------------- count -1 | 0 0 | 1 1 | 0 2 | 0 4 | 0 8 | 0 16 | 0 32 | 0 64 | 0 128 | 0 256 | 3 512 | 0 1024 | 0 2048 | 4 4096 | 9 8192 | 21 16384 | 36 32768 |@ 78 65536 |@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ 5391 131072 | 0 swnd 80 10.175.96.92 value ------------- Distribution ------------- count 32768 | 0 65536 |@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ 5543 131072 | 0 Here we are observing a large file transfer via http on the webserver. Comparing these distributions, we can observe: That slow start congestion control is in operation. The distribution of congestion window values lies below the range of slow start threshold values (which are in the 536870912+ range), so the connection is in slow start mode. Both the unacked byte count and the send window values peak in the 65536-131071 range, but the send window value distribution is narrower. This tells us that the peer TCP's receive window is not closing. The congestion window distribution peaks in the 1048576 - 2097152 range while the receive window distribution is confined to the 65536-131071 range. Since the cwnd distribution ranges as low as 2048-4095, we can see that for some of the time we have been observing the connection, congestion control has been a limiting factor on transfer, but for the majority of the time the receive window of the peer would more likely have been the limiting factor. However, we know the window has never closed as the distribution of swnd values stays within the 65536-131071 range. So all in all we have a connection that has been mildly constrained by congestion control, but for the bulk of the time we have been observing it neither congestion or peer receive window have limited throughput. Here's the script: #!/usr/sbin/dtrace -s tcp:::send / (args[4]-tcp_flags & (TH_SYN|TH_RST|TH_FIN)) == 0 / { @cwnd["cwnd", args[4]-tcp_sport, args[2]-ip_daddr] = quantize(args[3]-tcps_cwnd); @ssthresh["ssthresh", args[4]-tcp_sport, args[2]-ip_daddr] = quantize(args[3]-tcps_cwnd_ssthresh); @unacked["unacked", args[4]-tcp_sport, args[2]-ip_daddr] = quantize(args[3]-tcps_snxt - args[3]-tcps_suna); @swnd["swnd", args[4]-tcp_sport, args[2]-ip_daddr] = quantize((args[4]-tcp_window)*(1 tcps_snd_ws)); } One surprise here is that slow start is still in operation - one would assume that for a large file transfer, acknowledgements would push the congestion window up past the slow start threshold over time. The slow start threshold is in fact still close to it's initial (very high) value, so that would suggest we have not experienced any congestion (the slow start threshold is adjusted when congestion occurs). Also, the above measurements were taken early in the connection lifetime, so the congestion window did not get a changes to get bumped up to the level of the slow start threshold. A good strategy when examining these sorts of measurements for a given service (such as a webserver) would be start by examining the distributions above aggregated by port number only to get an overall feel for service performance, i.e. is congestion control or peer receive window size an issue, or are we unconstrained to fill the pipe? From there, the overlap of distributions will tell us whether to drill down into specific clients. For example if the send window distribution has multiple peaks, we may want to examine if particular clients show issues with their receive window.

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  • Tissue Specific Electrochemical Fingerprinting on the NetBeans Platform

    - by Geertjan
    Proteomics and metalloproteomics are rapidly developing interdisciplinary fields providing enormous amounts of data to be classified, evaluated, and interpreted. Approaches offered by bioinformatics and also by biostatistical data analysis and treatment are therefore becoming increasingly relevant. A bioinformatics tool has been developed at universities in Prague and Brno, in the Czech Republic, for analysis and visualization in this domain, on the NetBeans Platform: More info:  http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0049654

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  • Thank You MySQL Connect Content Committee Members

    - by Bertrand Matthelié
    Yesterday we announced the publication of the MySQL Connect Content Catalog. We would like today to thank the MySQL Connect Content Committee members, and especially our external members, for their efforts helping us to build the best possible MySQL Connect program. The Call for Papers had generated a large number of great submissions (thank you all for that!) and it was indeed a tough job to select sessions among those. So thank you very much, Sheeri, Erin, Giuseppe, Calvin and Yoshinori! Your input has been invaluable. Learn more about MySQL Connect (San Francisco Sept 21-23). Register Now and Save US$500 with the Early Bird Discount.

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  • Chessin's principles of RAS design

    - by user12608173
    In late 2001 I developed an internal talk on designing hardware for easier error injection, prevention, diagnosis, and correction. (This talk became the basis for my paper on injecting errors for fun and profit.) In that talk (but not in the paper), I articulated 10 principles of RAS design, which I list for you here: Protect everything Correct where you can Detect where you can't Where protection not feasible (e.g., ALUs), duplicate and compare Report everything; never throw away RAS information Allow non-destructive inspection (logging/scrubbing) Allow non-destructive alteration (injection) (that is, only change the bits you want changed, and leave everything else as is) Allow observation of all the bits as they are (logging) Allow alteration of any particular bit or combination of bits (injection) Document everything Of course, it isn't always feasible to follow these rules completely all the time, but I put them out there as a starting point.

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  • JSR updates - First Merged EC Ballots

    - by Heather VanCura
    As the second part of the JCP.Next effort, JCP 2.9 launched 2 weeks ago on 13 November, and the first JCP EC ballots with the Merged EC have concluded.   JSR 339, JAX-RS 2.0: The Java API for RESTful Web Services, passed EC Public Review Ballot and was approved by the EC -- 22 yes votes, 2 abstain, 2 did not vote -- view results. JSR 349, Bean Validation 1.1, passed EC Public Review Ballot and was approved by the EC --17 yes votes, 2 abstain, 5 did not vote --  view results.

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  • Social Media JSR 357 NOT approved by Executive Committee

    - by alexismp
    JSR 357 (Social Media API) has not passed the initial ballot which means, according to the JCP rules, that "the JSR submitter(s) who may revise the JSR and resubmit it within 14 days". Given the comments associated with the negative votes, it may be challenging for the submitters to address the concerns about the scope assessed by many as being too wide. Standardization is a difficult task and the JCP (the Executive Committee in fact) played its role by pointing out the challenges ahead of such a JSR as it was envisioned by its submitters, and thus the risk of never completing. If anything this proves that the JCP is working as expected. For those disappointed that Java will not get a standard "Social Media API" (for now at least), let me remind you of the recent open-sourcing of DaliCore.

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  • Using Bulk Operations with Coherence Off-Heap Storage

    - by jpurdy
    Some NamedCache methods (including clear(), entrySet(Filter), aggregate(Filter, …), invoke(Filter, …)) may generate large intermediate results. The size of these intermediate results may result in out-of-memory exceptions on cache servers, and in some cases on cache clients. This may be particularly problematic if out-of-memory exceptions occur on more than one server (since these operations may be cluster-wide) or if these exceptions cause additional memory use on the surviving servers as they take over partitions from the failed servers. This may be particularly problematic with clusters that use off-heap storage (such as NIO or Elastic Data storage options), since these storage options allow greater than normal cache sizes but do nothing to address the size of intermediate results or final result sets. One workaround is to use a PartitionedFilter, which allows the application to break up a larger operation into a number of smaller operations, each targeting either a set of partitions (useful for reducing the load on each cache server) or a set of members (useful for managing client result set sizes). It is also possible to return a key set, and then pull in the full entries using that key set. This also allows the application to take advantage of near caching, though this may be of limited value if the result is large enough to result in near cache thrashing.

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  • Recent EC Meetings - RIM forfeits EC seat

    - by heathervc
    Materials and minutes from the JCP EC Face-to-Face Meeting, held September 2012 in Prague, are now available on the EC Meeting Summaries page.  Topics included JCP.Next, a JCP 2.8 progress report, Inactive JSRs, and two Spec Lead presentations. In October 2011, new EC Standing Rules went into effect. The Rules include the following: "Missing five meetings in a row, or missing more than two-thirds of all meetings in any consecutive twelve-month period, results in loss of EC membership."  Last week, the JCP EC met for their October EC teleconference meeting.  RIM missed this meeting, and has now missed five meetings in a row (see the attendance chart); therefore, RIM has forfeited their EC membership. Results from the 2012 EC Elections will be available on 30 October.  The new merged EC will go into effect on 12 November.

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  • Linux on 8-bit

    - by nospam(at)example.com (Joerg Moellenkamp)
    This is nothing short of extremly cool from a technical perspective. The author has done it by writing an ARM emulator for an AVR controller and running Linux with this emulation : Linux on an 8-bit micro?.This is definitely not the fastest, but I think it may be the cheapest, slowest, simplest to hand assemble, lowest part count, and lowest-end Linux PC. The board is hand-soldered using wires, there is not even a requirement for a printed circuit board

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  • UndoRedo on Nodes (Part 2)

    - by Geertjan
    After the recording of the latest API Design Tip for the upcoming NetBeans Podcast, Jaroslav Tulach helped me with the problem I blogged about yesterday. First he expressed surprise at seeing Undo/Redo work on Nodes, which was never the intention, i.e., that feature was always intended for documents, e.g., the Java editor. However, he then showed me where to find the Properties window in the NetBeans sources, where it is org.netbeans.core.windows.view.ui.NbSheet. It turns out that the Properties window does not have an activated node and hence the Node that implements UndoRedo.Manager is never put in the Lookup. Once we added, on line 303, "this.setActivatedNodes(nodes);", everything worked as expected, i.e., the Undo/Redo actions are now enabled, even when the Properties window is selected: Maybe it means I should file an issue to get that line added to NbSheet?

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  • Solaris 11 VNC Server is "blurry" or "smeared"

    - by user12620111
    I've been annoyed by quality of the image that is displayed by my VNC viewer when I visit a Solaris 11 VNC server. How should I describe the image? Blurry? Grainy? Smeared? Low resolution? Compressed? Badly encoded? This is what I have gotten used to seeing on Solaris 11: This is not a problem for me when I view Solaris 10 VNC servers. I've finally taken the time to investigate, and the solution is simple. On the VNC client, don't allow "Tight" encoding. My VNC Viewer will negotiate to Tight encoding if it is available. When negotiating with the Solaris 10 VNC server, Tight is not a supported option, so the Solaris 10 server and my client will agree on ZRLE.  Now that I have disabled Tight encoding on my VNC client, the Solaris 11 VNC Servers looks much better: How should I describe the display when my VNC client is forced to negotiate to ZRLE encoding with the Solaris 11 VNC Server? Crisp? Clear? Higher resolution? Using a lossless compression algorithm? When I'm on a low bandwidth connection, I may re-enable Tight compression on my laptop. In the mean time, the ZRLE compression is sufficient for a coast-to-coast desktop, through the corporate firewall, encoded with VPN, through my ISP and onto my laptop. YMMV.

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  • JGridView

    - by Geertjan
    JGrid was announced last week so I wanted to integrate it into a NetBeans Platform app. I.e., I'd like to use Nodes instead of the DefaultListModel that is supported natively, so that I can integrate with the Properties Window, for example: Here's how: import de.jgrid.JGrid; import java.beans.PropertyVetoException; import javax.swing.DefaultListModel; import javax.swing.JScrollPane; import javax.swing.event.ListSelectionEvent; import javax.swing.event.ListSelectionListener; import org.book.domain.Book; import org.openide.explorer.ExplorerManager; import org.openide.nodes.Node; import org.openide.util.Exceptions; public class JGridView extends JScrollPane { @Override public void addNotify() { super.addNotify(); final ExplorerManager em = ExplorerManager.find(this); if (em != null) { final JGrid grid = new JGrid(); Node root = em.getRootContext(); final Node[] nodes = root.getChildren().getNodes(); final Book[] books = new Book[nodes.length]; for (int i = 0; i < nodes.length; i++) { Node node = nodes[i]; books[i] = node.getLookup().lookup(Book.class); } grid.getCellRendererManager().setDefaultRenderer(new OpenLibraryGridRenderer()); grid.setModel(new DefaultListModel() { @Override public int getSize() { return books.length; } @Override public Object getElementAt(int i) { return books[i]; } }); grid.setUI(new BookshelfUI()); grid.getSelectionModel().addListSelectionListener(new ListSelectionListener() { @Override public void valueChanged(ListSelectionEvent e) { //Somehow compare the selected item //with the list of books and find a matching book: int selectedIndex = grid.getSelectedIndex(); for (int i = 0; i < nodes.length; i++) { String nodeName = books[i].getTitel(); if (String.valueOf(selectedIndex).equals(nodeName)) { try { em.setSelectedNodes(new Node[]{nodes[i]}); } catch (PropertyVetoException ex) { Exceptions.printStackTrace(ex); } } } } }); setViewportView(grid); } } } Above, you see references to OpenLibraryGridRenderer and BookshelfUI, both of which are part of the "JGrid-Bookshelf" sample in the JGrid download. The above is specific for Book objects, i.e., that's one of the samples that comes with the JGrid download. I need to make the above more general, so that any kind of object can be handled without requiring changes to the JGridView. Once you have the above, it's easy to integrate it into a TopComponent, just like any other NetBeans explorer view.

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  • Test JPQL with NetBeans IDE 7.3 Tools

    - by Geertjan
    Since I pretty much messed up this part of the "Unlocking Java EE 6 Platform" demo, which I did together with PrimeFaces lead Çagatay Çivici during JavaOne 2012, I feel obliged to blog about it to clarify what should have happened! In my own defense, I only learned about this feature 15 minutes before the session started. In 7.3 Beta, it works for Java SE projects, while for Maven-based web projects, you need a post 7.3 Beta build, which is what I set up for my demo right before it started. Then I saw that the feature was there, without actually trying it out, which resulted in that part of the demo being a bit messy. And thanks to whoever it was in the audience who shouted out how to use it correctly! Screenshots below show everything related to this new feature, available from 7.3 onwards, which means you can try out your JPQL queries right within the IDE, without deploying the application (you only need to build it since the queries are run on the compiled classes): SQL view: Result view for the above: Here, you see the result of a more specific query, i.e., check that a record with a specific name value is present in the database: Also note that there is code completion within the editor part of the dialog above. I.e., as you press Ctrl-Space, you'll see context-sensitive suggestions for filling out the query. All this is pretty cool stuff! Saves time because now there's no need to deploy the app to check the database connection.

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  • nicstat update - version 1.92

    - by user12608033
    Another minor nicstat release is now available. Changes for Version 1.92, October 2012 Common Added "-M" option to change throughput statistics to Mbps (Megabits per second). Suggestion from Darren Todd. Fixed bugs with printing extended parseable format (-xp) Fixed man page's description of extended parseable output. Solaris Fixed memory leak associated with g_getif_list Add 2nd argument to dladm_open() for Solaris 11.1 Modify nicstat.sh to handle Solaris 11.1 Linux Modify nicstat.sh to see "x86_64" cputype as "i386". All Linux binaries are built as 32-bit, so we do not need to differentiate these two cpu types. Availability nicstat source and binaries are available from sourceforge. History For more history on nicstat, see my earlier entry

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  • The Minimalist Approach to Content Governance - Manage Phase

    - by Kellsey Ruppel
    Originally posted by John Brunswick. Most people would probably agree that creating content is the enjoyable part of the content life cycle. Management, on the other hand, is generally not. This is why we thankfully have an opportunity to leverage meta data, security and other settings that have been applied or inherited in the prior parts of our governance process. In the interests of keeping this process pragmatic, there is little day to day activity that needs to happen here. Most of the activity that happens post creation will occur in the final "Retire" phase in which content may be archived or removed. The Manage Phase will focus on updating content and the meta data associated with it - specifically around ownership. Often times the largest issues with content ownership occur when a content creator leaves and organization or changes roles within an organization.   1. Update Content Ownership (as needed and on a quarterly basis) Why - Without updating content to reflect ownership changes it will be impossible to continue to meaningfully govern the content. How - Run reports against the meta data (creator and department to which the creator belongs) on content items for a particular user that may have left the organization or changed job roles. If the content is without and owner connect with the department marked as responsible. The content's ownership should be reassigned or if the content is no longer needed by that department for some reason it can be archived and or deleted. With a minimal investment it is possible to create reports that use an LDAP or Active Directory system to contrast all noted content owners versus the users that exist in the directory. The delta will indicate which content will need new ownership assigned. Impact - This implicitly keeps your repository and search collection clean. A very large percent of content that ends up no longer being useful to an organization falls into this category. This management phase (automated if possible) should be completed every quarter or as needed. The impact of actually following through with this phase is substantial and will provide end users with a better experience when browsing and searching for content.

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  • How to trace a function array argument in DTrace

    - by uejio
    I still use dtrace just about every day in my job and found that I had to print an argument to a function which was an array of strings.  The array was variable length up to about 10 items.  I'm not sure if the is the right way to do it, but it seems to work and is not too painful if the array size is small.Here's an example.  Suppose in your application, you have the following function, where n is number of item in the array s.void arraytest(int n, char **s){    /* Loop thru s[0] to s[n-1] */}How do you use DTrace to print out the values of s[i] or of s[0] to s[n-1]?  DTrace does not have if-then blocks or for loops, so you can't do something like:    for i=0; i<arg0; i++        trace arg1[i]; It turns out that you can use probe ordering as a kind of iterator. Probes with the same name will fire in the order that they appear in the script, so I can save the value of "n" in the first probe and then use it as part of the predicate of the next probe to determine if the other probe should fire or not.  So the first probe for tracing the arraytest function is:pid$target::arraytest:entry{    self->n = arg0;}Then, if I want to print out the first few items of the array, I first check the value of n.  If it's greater than the index that I want to print out, then I can print that index.  For example, if I want to print out the 3rd element of the array, I would do something like:pid$target::arraytest:entry/self->n > 2/{    printf("%s",stringof(arg1 + 2 * sizeof(pointer)));}Actually, that doesn't quite work because arg1 is a pointer to an array of pointers and needs to be copied twice from the user process space to the kernel space (which is where dtrace is). Also, the sizeof(char *) is 8, but for some reason, I have to use 4 which is the sizeof(uint32_t). (I still don't know how that works.)  So, the script that prints the 3rd element of the array should look like:pid$target::arraytest:entry{    /* first, save the size of the array so that we don't get            invalid address errors when indexing arg1+n. */    self->n = arg0;}pid$target::arraytest:entry/self->n > 2/{    /* print the 3rd element (index = 2) of the second arg. */    i = 2;    size = 4;    self->a_t = copyin(arg1+size*i,size);    printf("%s: a[%d]=%s",probefunc,i,copyinstr(*(uint32_t *)self->a_t));}If your array is large, then it's quite painful since you have to write one probe for every array index.  For example, here's the full script for printing the first 5 elements of the array:#!/usr/sbin/dtrace -spid$target::arraytest:entry{        /* first, save the size of the array so that we don't get           invalid address errors when indexing arg1+n. */        self->n = arg0;}pid$target::arraytest:entry/self->n > 0/{        i = 0;        size = sizeof(uint32_t);        self->a_t = copyin(arg1+size*i,size);        printf("%s: a[%d]=%s",probefunc,i,copyinstr(*(uint32_t *)self->a_t));}pid$target::arraytest:entry/self->n > 1/{        i = 1;        size = sizeof(uint32_t);        self->a_t = copyin(arg1+size*i,size);        printf("%s: a[%d]=%s",probefunc,i,copyinstr(*(uint32_t *)self->a_t));}pid$target::arraytest:entry/self->n > 2/{        i = 2;        size = sizeof(uint32_t);        self->a_t = copyin(arg1+size*i,size);        printf("%s: a[%d]=%s",probefunc,i,copyinstr(*(uint32_t *)self->a_t));}pid$target::arraytest:entry/self->n > 3/{        i = 3;        size = sizeof(uint32_t);        self->a_t = copyin(arg1+size*i,size);        printf("%s: a[%d]=%s",probefunc,i,copyinstr(*(uint32_t *)self->a_t));}pid$target::arraytest:entry/self->n > 4/{        i = 4;        size = sizeof(uint32_t);        self->a_t = copyin(arg1+size*i,size);        printf("%s: a[%d]=%s",probefunc,i,copyinstr(*(uint32_t *)self->a_t));} If the array is large, then your script will also have to be very long to print out all values of the array.

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  • Today's The 4:30 movie: Java vs. C++

    - by hinkmond
    Here's a slide show that's paraphrasing Cameron Purdy's presentation on how Java technology has and hasn't supplanted C++. See: Why Java Has/Hasn't Won vs. C++ Here's a quote: This eWEEK slide show borrows from Purdy’s arguments and looks at 10 reasons Java was able to supplant C++, as well as five reasons or areas it was not. It's like Godzilla vs. Mechagodzilla. Can there really be a clear winner? Well, stick around and watch Godzilla vs. Mechagodzilla II on tomorrow's The 4:30 movie as Monster Week continues on WABC, and find out... Hinkmond

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