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  • JSR 348, 355, and 358: Moving JCP Forward

    - by arungupta
    The three-step JCP evolution consists of the following JSRs: • JSR 348, JCP transparency • JSR 355, Merging the two existing Executive Committees • JSR 358, complex issues moved postponed from JSR 348 The JSR 348 is already completed and JSR 355 is scheduled to be complete later this year. JSR 358 was recently filed and plans to revise several items such as modify the JSPA, Process Document, and a large number of complex issues. Because of the nature and scope of work, the Expert Group consists of representatives from all companies in the Executive Committee. Following the process set by JSR 348, all the work is done in open at jsr358.java.net. All the email discussions are here and JIRA here. Read Patrick Curran's blog for more details as well. The JSR review ballot ends on Jul 9th however the work has already happening for the past few months. Now is your chance to contribute and make JCP more effective!

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  • Focus on Backup

    - by Bertrand Matthelié
    @font-face { font-family: "Arial"; }@font-face { font-family: "Cambria"; }p.MsoNormal, li.MsoNormal, div.MsoNormal { margin: 0cm 0cm 0.0001pt; font-size: 12pt; font-family: "Times New Roman"; }a:link, span.MsoHyperlink { color: blue; text-decoration: underline; }a:visited, span.MsoHyperlinkFollowed { color: purple; text-decoration: underline; }div.Section1 { page: Section1; } In the latest episode of our “Meet The MySQL Experts” podcast, Sveta Smirnova from the MySQL technical support organization gives us an overview of the common MySQL backup practices and tools, and talks about the benefits of using MySQL Enterprise Backup. Enjoy the podcast!

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  • Reminder: Java EE 7 Job Task Analysis Survey – Participants Needed

    - by Brandye Barrington
    Java EE Developers/Practitioners, Recruiters, Managers Hiring Java EE Developers: Our Survey Continues.  We're looking to you to directly help shape the scope and definition of two new Java EE 7 Certification exams. We'll soon begin certifying front-end and/or server-side enterprise developers who use Java. We're therefore interested in those of you who:  are currently working with Java EE 7 technology or have plans to develop with Java EE 7 in the near future. have 2-4 years experience with the previous Java EE technology versions. are recruiting and/or hiring candidates to develop Java EE 7 applications. are technically savvy and able to articulate the skills and knowledge required to successfully staff Java Enterprise Edition front-end and server-side projects.

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  • How to integrate Java ME SDK 3.2 with Eclipse

    - by SungmoonCho
    Here is also an instruction on how you can integrate Java ME SDK 3.2 with Eclipse. You need additional steps for Eclipse Juno, because it does automatically detect and download MTJ (Mobile Tools for Java) plugin. The following instruction is for Eclipse Indigo. 1. Download Java ME SDK and Eclipse plugins from here. 2. Install Java ME SDK 3. Launch Eclipse 4. Go to "Help" - "Install New Software" 5. Click "Archive", and choose the Eclipse Plugin zip file you downloaded. Name is something like "Java ME SDK Plugin" 6. Choose Java ME SDK Tools, and select "Next". 7. It will calculate requirements and dependencies. Simply follow the instruction. 8. You may also have to manually install the platform. Check out "Help" - "Preferences" - "Java ME" - "Device Management". If you do not see Java ME SDK 3.2 devices, click "Manual Install" on the right side, and specify the folder where Java ME SDK is installed. By default, it is installed at "C:\Java_ME_platform_SDK_3.2". 9. You're done. Now you can use the Java ME SDK plugins for Eclipse.

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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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  • 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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  • Synchronized Property Changes (Part 4)

    - by Geertjan
    The next step is to activate the undo/redo functionality... for a Node. Something I've not seen done before. I.e., when the Node is renamed via F2 on the Node, the "Undo/Redo" buttons should start working. Here is the start of the solution, via this item in the mailing list and Timon Veenstra's BeanNode class, note especially the items in bold: public class ShipNode extends BeanNode implements PropertyChangeListener, UndoRedo.Provider { private final InstanceContent ic; private final ShipSaveCapability saveCookie; private UndoRedo.Manager manager; private String oldDisplayName; private String newDisplayName; private Ship ship; public ShipNode(Ship bean) throws IntrospectionException { this(bean, new InstanceContent()); } private ShipNode(Ship bean, InstanceContent ic) throws IntrospectionException { super(bean, Children.LEAF, new ProxyLookup(new AbstractLookup(ic), Lookups.singleton(bean))); this.ic = ic; setDisplayName(bean.getType()); setShortDescription(String.valueOf(bean.getYear())); saveCookie = new ShipSaveCapability(bean); bean.addPropertyChangeListener(WeakListeners.propertyChange(this, bean)); } @Override public Action[] getActions(boolean context) { List<? extends Action> shipActions = Utilities.actionsForPath("Actions/Ship"); return shipActions.toArray(new Action[shipActions.size()]); } protected void fire(boolean modified) { if (modified) { ic.add(saveCookie); } else { ic.remove(saveCookie); } } @Override public UndoRedo getUndoRedo() { manager = Lookup.getDefault().lookup( UndoRedo.Manager.class); return manager; } private class ShipSaveCapability implements SaveCookie { private final Ship bean; public ShipSaveCapability(Ship bean) { this.bean = bean; } @Override public void save() throws IOException { StatusDisplayer.getDefault().setStatusText("Saving..."); fire(false); } } @Override public boolean canRename() { return true; } @Override public void setName(String newDisplayName) { Ship c = getLookup().lookup(Ship.class); oldDisplayName = c.getType(); c.setType(newDisplayName); fireNameChange(oldDisplayName, newDisplayName); fire(true); fireUndoableEvent("type", ship, oldDisplayName, newDisplayName); } public void fireUndoableEvent(String property, Ship source, Object oldValue, Object newValue) { ReUndoableEdit reUndoableEdit = new ReUndoableEdit( property, source, oldValue, newValue); UndoableEditEvent undoableEditEvent = new UndoableEditEvent( this, reUndoableEdit); manager.undoableEditHappened(undoableEditEvent); } private class ReUndoableEdit extends AbstractUndoableEdit { private Object oldValue; private Object newValue; private Ship source; private String property; public ReUndoableEdit(String property, Ship source, Object oldValue, Object newValue) { super(); this.oldValue = oldValue; this.newValue = newValue; this.source = source; this.property = property; } @Override public void undo() throws CannotUndoException { setName(oldValue.toString()); } @Override public void redo() throws CannotRedoException { setName(newValue.toString()); } } @Override public String getDisplayName() { Ship c = getLookup().lookup(Ship.class); if (null != c.getType()) { return c.getType(); } return super.getDisplayName(); } @Override public String getShortDescription() { Ship c = getLookup().lookup(Ship.class); if (null != String.valueOf(c.getYear())) { return String.valueOf(c.getYear()); } return super.getShortDescription(); } @Override public void propertyChange(PropertyChangeEvent evt) { if (evt.getPropertyName().equals("type")) { String oldDisplayName = evt.getOldValue().toString(); String newDisplayName = evt.getNewValue().toString(); fireDisplayNameChange(oldDisplayName, newDisplayName); } else if (evt.getPropertyName().equals("year")) { String oldToolTip = evt.getOldValue().toString(); String newToolTip = evt.getNewValue().toString(); fireShortDescriptionChange(oldToolTip, newToolTip); } fire(true); } } Undo works when rename is done, but Redo never does, because Undo is constantly activated, since it is reactivated whenever there is a name change. And why must the UndoRedoManager be retrieved from the Lookup (it doesn't work otherwise)? Don't get that part of the code either. Help welcome!

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  • A new number one

    - by nospam(at)example.com (Joerg Moellenkamp)
    The Top500 supercomputer list has a new number one: The K Computer, built by Fujitsu, currently combines 68544 SPARC64 VIIIfx CPUs, each with eight cores, for a total of 548,352 cores?almost twice as many as any other system in the TOP500. The K Computer is also more powerful than the next five systems on the list combined.Interestingly this system runs under Linux. And it uses tofu as its interconnect

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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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  • 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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  • Gesture Based NetBeans Tip Infrastructure

    - by Geertjan
    All/most/many gestures you make in NetBeans IDE are recorded in an XML file in your user directory, "var/log/uigestures", which is what makes the Key Promoter I outlined yesterday possible. The idea behind it is for analysis to be made possible, when you periodically pass the gestures data back to the NetBeans team. See http://statistics.netbeans.org for details. Since the gestures in the 'uigestures' file are identifiable by distinct loggers and other parameters, there's no end to the interesting things that one is able to do with it. While the NetBeans team can see which gestures are done most frequently, e.g., which kinds of projects are created most often, thus helping in prioritizing new features and bugs, etc, you as the user can, depending on who and how the initiative is taken, directly benefit from your collected data, too. Tim Boudreau, in a recent article, mentioned the usefulness of hippie completion. So, imagine that whenever you use code completion, a tip were to appear reminding you about hippie completion. And then you'd be able to choose whether you'd like to see the tip again or not, etc, i.e., customize the frequency of tips and the types of tips you'd like to be shown. And then, it could be taken a step further. The tip plugin could be set up in such a way that anyone would be able to register new tips per gesture. For example, maybe you have something very interesting to share about code completion in NetBeans. So, you'd create your own plugin in which there'd be an HTML file containing the text you'd like to have displayed whenever you (or your team members, or your students, maybe?) use code completion. Then you'd register that HTML file in plugin's layer file, in a subfolder dedicated to the specific gesture that you're interested in commenting on. The same is true, not just for NetBeans IDE, but for anyone creating their applications on top of the NetBeans Platform, of course.

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  • JPA 2.1 Schema Generation (TOTD #187)

    - by arungupta
    This blog explained some of the key features of JPA 2.1 earlier. Since then Schema Generation has been added to JPA 2.1. This Tip Of The Day (TOTD) will provide more details about this new feature in JPA 2.1. Schema Generation refers to generation of database artifacts like tables, indexes, and constraints in a database schema. It may or may not involve generation of a proper database schema depending upon the credentials and authorization of the user. This helps in prototyping of your application where the required artifacts are generated either prior to application deployment or as part of EntityManagerFactory creation. This is also useful in environments that require provisioning database on demand, e.g. in a cloud. This feature will allow your JPA domain object model to be directly generated in a database. The generated schema may need to be tuned for actual production environment. This usecase is supported by allowing the schema generation to occur into DDL scripts which can then be further tuned by a DBA. The following set of properties in persistence.xml or specified during EntityManagerFactory creation controls the behaviour of schema generation. Property Name Purpose Values javax.persistence.schema-generation-action Controls action to be taken by persistence provider "none", "create", "drop-and-create", "drop" javax.persistence.schema-generation-target Controls whehter schema to be created in database, whether DDL scripts are to be created, or both "database", "scripts", "database-and-scripts" javax.persistence.ddl-create-script-target, javax.persistence.ddl-drop-script-target Controls target locations for writing of scripts. Writers are pre-configured for the persistence provider. Need to be specified only if scripts are to be generated. java.io.Writer (e.g. MyWriter.class) or URL strings javax.persistence.ddl-create-script-source, javax.persistence.ddl-drop-script-source Specifies locations from which DDL scripts are to be read. Readers are pre-configured for the persistence provider. java.io.Reader (e.g. MyReader.class) or URL strings javax.persistence.sql-load-script-source Specifies location of SQL bulk load script. java.io.Reader (e.g. MyReader.class) or URL string javax.persistence.schema-generation-connection JDBC connection to be used for schema generation javax.persistence.database-product-name, javax.persistence.database-major-version, javax.persistence.database-minor-version Needed if scripts are to be generated and no connection to target database. Values are those obtained from JDBC DatabaseMetaData. javax.persistence.create-database-schemas Whether Persistence Provider need to create schema in addition to creating database objects such as tables, sequences, constraints, etc. "true", "false" Section 11.2 in the JPA 2.1 specification defines the annotations used for schema generation process. For example, @Table, @Column, @CollectionTable, @JoinTable, @JoinColumn, are used to define the generated schema. Several layers of defaulting may be involved. For example, the table name is defaulted from entity name and entity name (which can be specified explicitly as well) is defaulted from the class name. However annotations may be used to override or customize the values. The following entity class: @Entity public class Employee {    @Id private int id;    private String name;     . . .     @ManyToOne     private Department dept; } is generated in the database with the following attributes: Maps to EMPLOYEE table in default schema "id" field is mapped to ID column as primary key "name" is mapped to NAME column with a default VARCHAR(255). The length of this field can be easily tuned using @Column. @ManyToOne is mapped to DEPT_ID foreign key column. Can be customized using JOIN_COLUMN. In addition to these properties, couple of new annotations are added to JPA 2.1: @Index - An index for the primary key is generated by default in a database. This new annotation will allow to define additional indexes, over a single or multiple columns, for a better performance. This is specified as part of @Table, @SecondaryTable, @CollectionTable, @JoinTable, and @TableGenerator. For example: @Table(indexes = {@Index(columnList="NAME"), @Index(columnList="DEPT_ID DESC")})@Entity public class Employee {    . . .} The generated table will have a default index on the primary key. In addition, two new indexes are defined on the NAME column (default ascending) and the foreign key that maps to the department in descending order. @ForeignKey - It is used to define foreign key constraint or to otherwise override or disable the persistence provider's default foreign key definition. Can be specified as part of JoinColumn(s), MapKeyJoinColumn(s), PrimaryKeyJoinColumn(s). For example: @Entity public class Employee {    @Id private int id;    private String name;    @ManyToOne    @JoinColumn(foreignKey=@ForeignKey(foreignKeyDefinition="FOREIGN KEY (MANAGER_ID) REFERENCES MANAGER"))    private Manager manager;     . . . } In this entity, the employee's manager is mapped by MANAGER_ID column in the MANAGER table. The value of foreignKeyDefinition would be a database specific string. A complete replay of Linda's talk at JavaOne 2012 can be seen here (click on CON4212_mp4_4212_001 in Media). These features will be available in GlassFish 4 promoted builds in the near future. JPA 2.1 will be delivered as part of Java EE 7. The different components in the Java EE 7 platform are tracked here. JPA 2.1 Expert Group has released Early Draft 2 of the specification. Section 9.4 and 11.2 provide all details about Schema Generation. The latest javadocs can be obtained from here. And the JPA EG would appreciate feedback.

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  • New "How do I ..." series

    - by Maria Colgan
    Over the last year or so the Optimizer development team has presented at a number of conferences and we got a lot of questions that start with "How do I ...". Where people were looking for a specific command or set of steps to fix a problem they had encountered. So we thought it would be a good idea to create a series of small posts that deal with these "How do I" question directly. We will use a simple example each time, that shows exactly what commands and procedures should be used to address a given problem. If you have an interesting "How do I .." question you would like to see us answer on the blog please email me and we will do our best to answer them! Watch out for the first post in this series which addresses the problem of "How do I deal with a third party application that has embedded hints that result in a sub-optimal execution plan in my environment?"

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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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  • Result of the "How long do you wait before Solaris 11 gets on your prod systems?"

    - by nospam(at)example.com (Joerg Moellenkamp)
    I just removed the poll at 10:52, so this is the final result: My conclusions out of it: While the removal of UltraSPARC I to VI+ support in Solaris 11 may hit some of the people voting in the categories "Wait?" to "6 month", most of the users keep Solaris 10 running on their existing system anyway or migrate that late that even the newest system have reached their end-of-service-live or are near of it, so a migration doesn't sound that feasible. So i assume Product Management was right with their decision to remove the support in order to make the feature i can't talk of possible, as i don't think that many of the early migrators are still using the system in question, as most systems have reached EOSL. Didn't thought that there would be people waiting three years and more ...

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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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  • 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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  • JSR Updates

    - by heathervc
    JSR 359, SIP Servlet 2.0, is a new JSR that has been submitted for JSR Review.  The review closes 16 July; the JSR Approval Ballot will be 17-20 July 2012. JSR 355, JCP Executive Committee Merge, has passed the Public Review Ballot and a Proposed Final Draft is now available for review. JSR 340, Java Servlet 3.1 Specification, has posted an Early Draft Review.  The review closes 1 August 2012.

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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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  • I have a performance problem

    - by Alan
    (copied from my wordpress blog). So start 95% of the performance calls that I receive. They usually continue something like: I have gathered some *stat data for you (eg the guds tool from Document 1285485.1), can you please root cause our problem? So, do you think you could? Neither can I, based on this my answer inevitably has to be "No". Given this kind of problem statement, I have no idea about the expectations, the boundary conditions, or even the application. The answer may as well be "Performance problems? Consult your local Doctor for Viagra". It's really not a lot to go on. So, What kind of problem description is going to allow me to start work on the issue that is being seen? I don't doubt that there really is an issue, it just needs to be pinned down somewhat. What behavior exactly are you expecting to see? Be specific and use business metrics. For example "run-time", "response-time" and "throughput". This helps us define exit criterea. Now, let's look at the system that is having problems. How is what you are seeing different? Use the same type of metrics. The answers to these two questions take us a long way towards being able to work a call. Even more helpful are answers to questions like Has this system ever worked to expectation? If so, when did it start exhibiting this behavior? Is the problem always present, or does it sometimes work to expectation? If it sometimes works to expectation, when are you seeing the problem? Is there any discernible pattern? Is the impact of the problem getting better, worse, or remaining constant? What kind of differences are there between when the system was performing to expectation and when it is not? Are there other machines where we could expect to see the same issue (eg similar usage and load), but are not? Again, differences? Once we start to gather information like this we start to build up a much clearer picture of exactly what we need to investigate, and what we need to achieve so that both you and me agree that the problem has been solved. Please help get that figure of poorly defined problem statements down from it's current 95% value.

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  • Hotel key mobile app for your Java ME cell phone

    - by hinkmond
    This is cool. Get this Java ME app to download your hotel key to your mobile phone without having to check in at the front desk. See: Mobile Key Java ME app Here's a quote: The new [app] makes it possible for ALL smartphone operating systems, including [blah-blah-blah], [yadda-yadda-yadda], J2ME, ... and [blah-blah-blah], to run the Mobile Key App. Mobile Key by OpenWays is the first and only ubiquitous mobile phone- based front-desk bypass solution that is truly deployable today... Nice. Just don't accidentally drop your cell phone in the toilet. You'll be sleeping in the restroom if you do. Just sayin'. Hinkmond

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  • Screencast: "Unlocking the Java EE Platform with HTML5"

    - by Geertjan
    The Java EE platform aims to increase your productivity and reduce the amount of scaffolding code needed in Java enterprise applications. It encompasses a range of specifications, such as JPA, EJB, JSF, and JAX-RS. How do these specifications fit together in an application, and how do they relate to each other? And how can HTML5 be used to leverage Java EE? In this recording of a session I did last week at Oredev in Malmo, Sweden, you learn how Java EE works and how it can be integrated with HTML5 front ends, via HTML, JavaScript, and CSS.

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  • Drupal node access for anonymous users

    - by MrDresden
    I've never used Drupal before so this may be something that can easily be remedied, and that would be awesome. My problem is that a block, containing node information can't be viewed by anonymous users (unregisterd/not logged in), gives a "You are not authorized to access this content." message, but shows up for logged in users. The nodes that the block contains are events, so the block shows events for the next week. I've checked the users access settings but can't find anything that could possibly remedy this. I'm using drupal core 6.26, Event 6.x-2.x-dev, Event views 6.x-2.4 If anyone has any information, or solutions, I'd greatly appreciate it.

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