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• Reading a ZFS USB drive with Mac OS X Mountain Lion

  - by Karim Berrah

  The problem: I'm using a MacBook, mainly with Solaris 11, but something with Mac OS X (ML). The only missing thing is that Mac OS X can't read my external ZFS based USB drive, where I store all my data. So, I decided to look for a solution. Possible solution: I decided to use VirtualBox with a Solaris 11 VM as a passthrough to my data. Here are the required steps: Installing a Solaris 11 VM Install VirtualBox on your Mac OS X, add the extension pack (needed for USB) Plug your ZFS based USB drive on your Mac, ignore it when asked to initialize it. Create a VM for Solaris (bridged network), and before installing it, create a USB filter (in the settings of your Vbox VM, go to Ports, then USB, then add a new USB filter from the attached device "grey usb-connector logo with green plus sign")  Install a Solaris 11 VM, boot it, and install the Guest addition check with "ifconfg -a" the IP address of your Solaris VM Creating a path to your ZFS USB drive In MacOS X, use the "Disk Utility" to unmount the USB attached drive, and unplug the USB device. Switch back to VirtualBox, select the top of the window where your Solaris 11 is running plug your ZFS USB drive, select "ignore" if Mac OS invite you to initialize the disk In the VirtualBox VM menu, go to "Devices" then "USB Devices" and select from the dropping menu your "USB device" Connection your Solaris VM to the USB drive Inside Solaris, you might now check that your device is accessible by using the "format" cli command If not, repeat previous steps Now, with root privilege, force a zpool import -f myusbdevicepoolname because this pool was created on another system check that you see your new pool with "zpool status" share your pool with NFS: share -F NFS /myusbdevicepoolname Accessing the USB ZFS drive from Mac OS X This is the easiest step: access an NFS share from mac OS Create a "ZFSdrive" folder on your MacOS desktop from a terminal under mac OS: mount -t nfs IPadressofMySoalrisVM:/myusbdevicepoolname  /Users/yourusername/Desktop/ZFSdrive et voila ! you might access your data, on a ZFS USB drive, directly from your Mountain Lion Desktop. You might play with the share rights in order to alter any read/write rights as needed. You might activate compression, encryption inside the Solaris 11 VM ...

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• Several New Hints

  - by Ondrej Brejla

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

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• ZFS for Database Log Files

  - by user12620111

  I've been troubled by drop outs in CPU usage in my application server, characterized by the CPUs suddenly going from close to 90% CPU busy to almost completely CPU idle for a few seconds. Here is an example of a drop out as shown by a snippet of vmstat data taken while the application server is under a heavy workload. # vmstat 1  kthr      memory            page            disk          faults      cpu  r b w   swap  free  re  mf pi po fr de sr s3 s4 s5 s6   in   sy   cs us sy id  1 0 0 130160176 116381952 0 16 0 0 0 0  0  0  0  0  0 207377 117715 203884 70 21 9  12 0 0 130160160 116381936 0 25 0 0 0 0 0  0  0  0  0 200413 117162 197250 70 20 9  11 0 0 130160176 116381920 0 16 0 0 0 0 0  0  1  0  0 203150 119365 200249 72 21 7  8 0 0 130160176 116377808 0 19 0 0 0 0  0  0  0  0  0 169826 96144 165194 56 17 27  0 0 0 130160176 116377800 0 16 0 0 0 0  0  0  0  0  1 10245 9376 9164 2  1 97  0 0 0 130160176 116377792 0 16 0 0 0 0  0  0  0  0  2 15742 12401 14784 4 1 95  0 0 0 130160176 116377776 2 16 0 0 0 0  0  0  1  0  0 19972 17703 19612 6 2 92  14 0 0 130160176 116377696 0 16 0 0 0 0 0  0  0  0  0 202794 116793 199807 71 21 8  9 0 0 130160160 116373584 0 30 0 0 0 0  0  0 18  0  0 203123 117857 198825 69 20 11 This behavior occurred consistently while the application server was processing synthetic transactions: HTTP requests from JMeter running on an external machine. I explored many theories trying to explain the drop outs, including: Unexpected JMeter behavior Network contention Java Garbage Collection Application Server thread pool problems Connection pool problems Database transaction processing Database I/O contention Graphing the CPU %idle led to a breakthrough: Several of the drop outs were 30 seconds apart. With that insight, I went digging through the data again and looking for other outliers that were 30 seconds apart. In the database server statistics, I found spikes in the iostat "asvc_t" (average response time of disk transactions, in milliseconds) for the disk drive that was being used for the database log files. Here is an example:                     extended device statistics     r/s    w/s   kr/s   kw/s wait actv wsvc_t asvc_t  %w  %b device     0.0 2053.6    0.0 8234.3  0.0  0.2    0.0    0.1   0  24 c3t60080E5...F4F6d0s0     0.0 2162.2    0.0 8652.8  0.0  0.3    0.0    0.1   0  28 c3t60080E5...F4F6d0s0     0.0 1102.5    0.0 10012.8  0.0  4.5    0.0    4.1   0  69 c3t60080E5...F4F6d0s0     0.0   74.0    0.0 7920.6  0.0 10.0    0.0  135.1   0 100 c3t60080E5...F4F6d0s0     0.0  568.7    0.0 6674.0  0.0  6.4    0.0   11.2   0  90 c3t60080E5...F4F6d0s0     0.0 1358.0    0.0 5456.0  0.0  0.6    0.0    0.4   0  55 c3t60080E5...F4F6d0s0     0.0 1314.3    0.0 5285.2  0.0  0.7    0.0    0.5   0  70 c3t60080E5...F4F6d0s0 Here is a little more information about my database configuration: The database and application server were running on two different SPARC servers. Storage for the database was on a storage array connected via 8 gigabit Fibre Channel Data storage and log file were on different physical disk drives Reliable low latency I/O is provided by battery backed NVRAM Highly available: Two Fibre Channel links accessed via MPxIO Two Mirrored cache controllers The log file physical disks were mirrored in the storage device Database log files on a ZFS Filesystem with cutting-edge technologies, such as copy-on-write and end-to-end checksumming Why would I be getting service time spikes in my high-end storage? First, I wanted to verify that the database log disk service time spikes aligned with the application server CPU drop outs, and they did: At first, I guessed that the disk service time spikes might be related to flushing the write through cache on the storage device, but I was unable to validate that theory. After searching the WWW for a while, I decided to try using a separate log device: # zpool add ZFS-db-41 log c3t60080E500017D55C000015C150A9F8A7d0 The ZFS log device is configured in a similar manner as described above: two physical disks mirrored in the storage array. This change to the database storage configuration eliminated the application server CPU drop outs: Here is the zpool configuration: # zpool status ZFS-db-41   pool: ZFS-db-41  state: ONLINE  scan: none requested config:         NAME                                     STATE         ZFS-db-41                                ONLINE           c3t60080E5...F4F6d0  ONLINE         logs           c3t60080E5...F8A7d0  ONLINE Now, the I/O spikes look like this:                     extended device statistics                  r/s    w/s   kr/s   kw/s wait actv wsvc_t asvc_t  %w  %b device     0.0 1053.5    0.0 4234.1  0.0  0.8    0.0    0.7   0  75 c3t60080E5...F8A7d0s0                     extended device statistics                  r/s    w/s   kr/s   kw/s wait actv wsvc_t asvc_t  %w  %b device     0.0 1131.8    0.0 4555.3  0.0  0.8    0.0    0.7   0  76 c3t60080E5...F8A7d0s0                     extended device statistics                  r/s    w/s   kr/s   kw/s wait actv wsvc_t asvc_t  %w  %b device     0.0 1167.6    0.0 4682.2  0.0  0.7    0.0    0.6   0  74 c3t60080E5...F8A7d0s0     0.0  162.2    0.0 19153.9  0.0  0.7    0.0    4.2   0  12 c3t60080E5...F4F6d0s0                     extended device statistics                  r/s    w/s   kr/s   kw/s wait actv wsvc_t asvc_t  %w  %b device     0.0 1247.2    0.0 4992.6  0.0  0.7    0.0    0.6   0  71 c3t60080E5...F8A7d0s0     0.0   41.0    0.0   70.0  0.0  0.1    0.0    1.6   0   2 c3t60080E5...F4F6d0s0                     extended device statistics                  r/s    w/s   kr/s   kw/s wait actv wsvc_t asvc_t  %w  %b device     0.0 1241.3    0.0 4989.3  0.0  0.8    0.0    0.6   0  75 c3t60080E5...F8A7d0s0                     extended device statistics                  r/s    w/s   kr/s   kw/s wait actv wsvc_t asvc_t  %w  %b device     0.0 1193.2    0.0 4772.9  0.0  0.7    0.0    0.6   0  71 c3t60080E5...F8A7d0s0 We can see the steady flow of 4k writes to the ZIL device from O_SYNC database log file writes. The spikes are from flushing the transaction group. Like almost all problems that I run into, once I thoroughly understand the problem, I find that other people have documented similar experiences. Thanks to all of you who have documented alternative approaches. Saved for another day: now that the problem is obvious, I should try "zfs:zfs_immediate_write_sz" as recommended in the ZFS Evil Tuning Guide. References: The ZFS Intent Log Solaris ZFS, Synchronous Writes and the ZIL Explained ZFS Evil Tuning Guide: Cache Flushes ZFS Evil Tuning Guide: Tuning ZFS for Database Performance

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• Add-ons for Firefox - Java Plugin has been blocked JRE versions below 1.6.0_31 or between 1.7.0 and 1.7.0_2

  - by user702295

  As Java 1.6u31 is not certified for use with EBS or Demantra, you may notice issues in relation to the Java plug-in.  Demantra Development is currently working to certify Java 1.6u31.  They are recommending that you upgrade to that version. EBS customers, should not be installing 1.6u31 as it is not certified.  If you do upgrade your browser, you will either need to downgrade to a lower release of Firefox or find a way of allowing Firefox to use the older version of the Java Plug-in.

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• New Procurement Report for Transportation Sourcing

  - by John Murphy

  Welcome to our fourth annual transportation procurement benchmark report. American Shipper, in partnership with the Council of Supply Chain Management Professionals (CSCMP) and the Retail Industry Leaders Association (RILA), surveyed roughly 275 transportation buyers and sellers on procurement practices, processes, technologies and results. Some key findings: • Manual, spreadsheet-based procurement processes remain the most prevalent among transportation buyers, with 42 percent of the total • Another 25 percent of respondents use a hybrid platform, which presumably means these buyers are using spreadsheets for at least one mode and/or geography • Only 23 percent of buyers are using a completely systems-based approach of some kind • Shippers were in a holding pattern with regards to investment in procurement systems the past year • Roughly three-quarters of survey respondents report that transportation spend has increased in 2012, although the pace has declined slightly from last year’s increases • Nearly every survey respondent purchases multiple modes of transportation • The number of respondents with plans to address technology to support the procurement process has increased in 2012. About one quarter of respondents who do not have a system report they have a budget for this investment in the next two years.

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• NetBeans IDE 7.3 Knows Null

  - by Geertjan

  What's the difference between these two methods, "test1" and "test2"? public int test1(String str) {     return str.length(); } public int test2(String str) {     if (str == null) {         System.err.println("Passed null!.");         //forgotten return;     }     return str.length(); } The difference, or at least, the difference that is relevant for this blog entry, is that whoever wrote "test2" apparently thinks that the variable "str" may be null, though did not provide a null check. In NetBeans IDE 7.3, you see this hint for "test2", but no hint for "test1", since in that case we don't know anything about the developer's intention for the variable and providing a hint in that case would flood the source code with too many false positives:  Annotations are supported in understanding how a piece of code is intended to be used. If method return types use @Nullable, @NullAllowed, @CheckForNull, the value is considered to be "strongly possible to be null", as well as if the variable is tested to be null, as shown above. When using @NotNull, @NonNull, @Nonnull, the value is considered to be non-null. (The exact FQNs of the annotations are ignored, only simple names are checked.) Here are examples showing where the hints are displayed for the non-null hints (the "strongly possible to be null" hints are not shown below, though you can see one of them in the screenshot above), together with a comment showing what is shown when you hover over the hint: There isn't a "one size fits all" refactoring for these various instances relating to null checks, hence you can't do an automated refactoring across your code base via tools in NetBeans IDE, as shown yesterday for class member reordering across code bases. However, you can, instead, go to Source | Inspect and then do a scan throughout a scope (e.g., current file/package/project or combinations of these or all open projects) for class elements that the IDE identifies as potentially having a problem in this area: Thanks to Jan Lahoda, who reports that this currently also works in NetBeans IDE 7.3 dev builds for fields but that may need to be disabled since right now too many false positives are returned, for help with the info above and any misunderstandings are my own fault!

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• Groovy Refactoring in NetBeans

  - by Martin Janicek

  Hi guys, during the NetBeans 7.3 feature development, I spend quite a lot of time trying to get some basic Groovy refactoring to the game. I've implemented find usages and rename refactoring for some basic constructs (class types, fields, properties, variables and methods). It's certainly not perfect and it will definitely need a lot fixes and improvements to get it hundred percent reliable, but I need to start somehow :) I would like to ask all of you to test it as much as possible and file a new tickets to the cases where it doesn't work as expected (e.g. some occurrences which should be in usages isn't there etc.) ..it's really important for me because I don't have real Groovy project and thus I can test only some simple cases. I can promise, that with your help we can make it really useful for the next release. Also please be aware that the current version is focusing only on the .groovy files. That means it won't find any usages from the .java files (and the same applies for finding usages from java files - it won't find any groovy usages). I know it's not ideal, but as I said.. we have to start somehow and it wasn't possible to make it all-in-one, so only other option was to wait for the NetBeans 7.4. I'll focus on better Java-Groovy integration in the next release (not only in refactoring, but also in navigation, code completion etc.) BTW: I've created a new component with surprising name "Refactoring" in our bugzilla[1], so please put the reported issues into this category. [1] http://netbeans.org/bugzilla/buglist.cgi?product=groovy;component=Refactoring

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• Capgemini report - Business Cloud: The State of Play Shifts Rapidly

  - by Javier Puerta

  Capgemini has published a recent survey on the state of play of cloud adoption. The report indicates "clear evidence that the business, rather than purely IT, is becoming involved in driving Cloud strategy, and pioneering its use for ‘edge’ growth initiatives."  Ron Tolido, Senior Vice President and Chief Technology Officer of Applications Continental Europe at Capgemini, was one of the keynote speakers at our Exadata & Manageability Partner Community event in Istanbul in March. He is one of the drivers of this survey. Read his article "3 Key Cloud Insights for 2013". You an download the full report here:  "Business Cloud: The State of Play Shifts Rapidly - Fresh Insights into Cloud Adoption Trends"

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• Smart Meter Management on the NetBeans Platform

  - by Geertjan

  Netinium® NCC is the operator console for the Netinium® AMM+ platform, a Head End system for multi-vendor smart meter and smart grid infrastructures. The role based NCC provides a uniform operations environment for grid operators and utilities to securely manage millions of smart meters, in-home displays and other smart devices using different types of communication networks such as IP, PLC, GPRS, CDMA and BPL. Based on the NetBeans Platform, the NCC offers the flexibility to easily extend the GUI with new functionality when new devices are added to the system.  For more information visit http://www.netinium.com.

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• JCP 2.9 & Transparency Spec Lead Call material is available

  - by Heather VanCura

  The JCP 2.9 & Transparency Spec Lead Call materials and recording from 9 November are now available on the JCP.org multimedia page.  Learn about changes introduced with JCP 2.9, effective Tuesday, 13 November, and a review of the JCP.Next reform efforts. Plus, a progress report on JCP 2.8, specifically around the areas of transparency, participation and agility, as well as suggestions for how you can get more involved in supporting these efforts with the current JCP program JSRs. 

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• Stuff I learned at Innovate 2011

  - by David Dorf

  After returning from the NRF Innovate 2011 conference, I picked up few nuggets I thought I'd share here.  These thoughts are a bit random, but I hope they're useful nonetheless.Kevin Kelly opened the conference with six verbs that represent the future.  They were Screening, Interacting, Sharing, Accessing, Flowing, and Generating.  It struck me that these are all ways in which we merge the digital and physical worlds.  The internet of things continues to gain momentum.Some buzzwords:  deal economy, subscription commerce, discovery (instead of search), curationThat last one, curation, came up over and over.  Retailers, especially those in fashion, are finding value in helping their customers organize and present their own collections.  Social media has made sharing such collections easy, and mobile lets them take those ideas into the stores.  Mannequins are becoming less relevant.I heard from both HauteLook and Gilt Groupe (flash sale retailers) that a large percentage of their visits come from mobile devices, and most of those are iOS devices.  I find it interesting that even though Android has passed iPhone in units shipped (and will eventually pass iOS as a whole), its still the Apple crowd that leads the way.RadioShack mentioned their Holiday Heroes campaigned was very successful.  They asked their Foursquare users to check-in at a gym, coffee shop, and transportation hub as part of being a hero.  For this feat, customers were awarded a special badge that was worth 20% off at their next store visit. They claim a 3.5x increase in ticket size vs. regular check-in customers, and a 5x increase vs those that don't check-in at all.I also learned of RadioShack's #28 campaign, which is apparently one of the largest Twitter trends ever.  Their partnership with LIVESTRONG has gotten them followers, impressions, and credit for supporting the fight against cancer.The guys at Invodo showed the importance of video to e-commerce.  They gave compelling examples of how video can show customers the value of products better than just words.The highlight of the show was Guy Kawasaki's talk on innovation, which was not only informative but also peppered with humor and personality.  Back in the early days of the internet boom, Guy turned down the CEO position at Yahoo! because the commute was too long.  By his calculation, that was a $2B mistake.There are other good accounts of the conference at the NRF Blog.

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• Performance triage

  - by Dave

  Folks often ask me how to approach a suspected performance issue. My personal strategy is informed by the fact that I work on concurrency issues. (When you have a hammer everything looks like a nail, but I'll try to keep this general). A good starting point is to ask yourself if the observed performance matches your expectations. Expectations might be derived from known system performance limits, prototypes, and other software or environments that are comparable to your particular system-under-test. Some simple comparisons and microbenchmarks can be useful at this stage. It's also useful to write some very simple programs to validate some of the reported or expected system limits. Can that disk controller really tolerate and sustain 500 reads per second? To reduce the number of confounding factors it's better to try to answer that question with a very simple targeted program. And finally, nothing beats having familiarity with the technologies that underlying your particular layer. On the topic of confounding factors, as our technology stacks become deeper and less transparent, we often find our own technology working against us in some unexpected way to choke performance rather than simply running into some fundamental system limit. A good example is the warm-up time needed by just-in-time compilers in Java Virtual Machines. I won't delve too far into that particular hole except to say that it's rare to find good benchmarks and methodology for java code. Another example is power management on x86. Power management is great, but it can take a while for the CPUs to throttle up from low(er) frequencies to full throttle. And while I love "turbo" mode, it makes benchmarking applications with multiple threads a chore as you have to remember to turn it off and then back on otherwise short single-threaded runs may look abnormally fast compared to runs with higher thread counts. In general for performance characterization I disable turbo mode and fix the power governor at "performance" state. Another source of complexity is the scheduler, which I've discussed in prior blog entries. Lets say I have a running application and I want to better understand its behavior and performance. We'll presume it's warmed up, is under load, and is an execution mode representative of what we think the norm would be. It should be in steady-state, if a steady-state mode even exists. On Solaris the very first thing I'll do is take a set of "pstack" samples. Pstack briefly stops the process and walks each of the stacks, reporting symbolic information (if available) for each frame. For Java, pstack has been augmented to understand java frames, and even report inlining. A few pstack samples can provide powerful insight into what's actually going on inside the program. You'll be able to see calling patterns, which threads are blocked on what system calls or synchronization constructs, memory allocation, etc. If your code is CPU-bound then you'll get a good sense where the cycles are being spent. (I should caution that normal C/C++ inlining can diffuse an otherwise "hot" method into other methods. This is a rare instance where pstack sampling might not immediately point to the key problem). At this point you'll need to reconcile what you're seeing with pstack and your mental model of what you think the program should be doing. They're often rather different. And generally if there's a key performance issue, you'll spot it with a moderate number of samples. I'll also use OS-level observability tools to lock for the existence of bottlenecks where threads contend for locks; other situations where threads are blocked; and the distribution of threads over the system. On Solaris some good tools are mpstat and too a lesser degree, vmstat. Try running "mpstat -a 5" in one window while the application program runs concurrently. One key measure is the voluntary context switch rate "vctx" or "csw" which reflects threads descheduling themselves. It's also good to look at the user; system; and idle CPU percentages. This can give a broad but useful understanding if your threads are mostly parked or mostly running. For instance if your program makes heavy use of malloc/free, then it might be the case you're contending on the central malloc lock in the default allocator. In that case you'd see malloc calling lock in the stack traces, observe a high csw/vctx rate as threads block for the malloc lock, and your "usr" time would be less than expected. Solaris dtrace is a wonderful and invaluable performance tool as well, but in a sense you have to frame and articulate a meaningful and specific question to get a useful answer, so I tend not to use it for first-order screening of problems. It's also most effective for OS and software-level performance issues as opposed to HW-level issues. For that reason I recommend mpstat & pstack as my the 1st step in performance triage. If some other OS-level issue is evident then it's good to switch to dtrace to drill more deeply into the problem. Only after I've ruled out OS-level issues do I switch to using hardware performance counters to look for architectural impediments.

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• Dynamic Layout in BI Publisher

  - by Manoj Madhusoodanan

  This blog tells about how to set dynamic layout of a BI Publisher report.Lets take a simple business scenario.If user wants to view the output in either PDF or EXCEL.Two ways we can achieve this.  1) If the output type is not a program parameter the we can choose the layout type at the time of submission in the SRS window. 2) If the report output type is a parameter we need to choose the layout at the time of submission of the request using FND_REQUEST.ADD_LAYOUT. Here I am discussing the second approach.Following components I have created for this scenario. 1) XXCUST - Sample Report : This program actually generates the XML data. It is linked with a RTF template.Note: At the time of creating this program you can uncheck Use in SRS to prevent users from submitting from SRS window.Because we are submitting this program from another concurrent program.Also is not required to add it to request group.2) XXCUST - Report Wrapper : This program calls XXCUST - Sample Report and exposed to user through SRS.3) SAMPLE_REPORT_WRAPPER : Executable which calls xxcust_sample_rep.main4) SAMPLE_REPORT_EXE : Executable which calls xxcust_sample_rep.report_main5) XXCUST - Sample Report Data Definition : Data Definition linked to XXCUST - Sample Report6) XXCUST - Sample Report Template : Template linked to XXCUST - Sample Report Data Definition 7) Package 8) RTF

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• Transparency call for Spec Leads and EC materials posted

  - by heathervc

  The materials and recording from the February 2012 call for JCP program Spec Leads is now available.  This call features Martijn Verburg, alternate EC representative for the London Java Community and includes information on the Adopt-a-JSR program.  The materials and audio recording of the  "Leveraging the Community" call can be found on the multimedia page of jcp.org .  The EC meeting summaries from February and March 2012 have also been posted.  Following the April 2012 EC Meeting this morning (minutes and materials will be posted soon), there are now four EC Members that have lost their voting privileges--AT&T, SK Telecom, Samsung and Twitter.  In order to regain their privileges, these EC Members must attend two EC meeting in a row, as detailed in the EC Standing Rules.

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• ANTLRWorks 2: Early Access Preview 10

  - by Geertjan

  I took a quick look at how the ANTLRWorks 2 project is getting on... and discovered that today, March 23, the new early access preview 10 has been released: http://www.antlr.org/wiki/display/ANTLR4/1.+Overview Downloaded it immediately and was impressed when browsing through the Java.g file that I also found on the Antlr site: (Click to enlarge the image above.) On the page above, the following enhancements are listed: Add tooltips for rule references Finally fixed the navigator update bug Major improvements to code completion Fix legacy mode Many performance and stability updates I've blogged before about how the developers on the above project consider their code completion to be "scary fast". Some discussions have taken place about how code developed by the ANTLRWorks team could be contributed to the NetBeans project, since NetBeans IDE and ANTLRWorks 2 are both based on the NetBeans Platform.

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• An update on PeopleSoft Supplier Relationship Management 9.0

  Listen to Alexandra Dhillon, Principal Product Strategy Manager PeopleSoft applications updates listeners on why PeopleSoft SRM 9.0 is a significant focus area for PeopleSoft, how customers can benefit from using Release 9.0 today and future enhancements for this area.

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• OEL5.5 released

  - by wim.coekaerts

  OEL 5.5 got pushed to ULN last night. we are creating the 5.5 base channel right now - for those that want the convenience of register to a specific update channel only. This is something we have done since the beginning (on ULN). The ISO images will appear on e-delivery in a number of days and for those customers that need urgent ISO access they can file a support SR.

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• Baseline for GIS Applications

  - by Geertjan

  The application I introduced here yesterday can best be understood via its author's explanation: "As I developed several different WorldWind-based applications, I noticed that they all started out the same. Terramenta was born so I wouldn't have to recreate the baseline every time, I could just provide NetBeans plugin modules to introduce the new features required by different projects." So, to try it out for myself, I checked out the sources from the Mercurial repo today, built them, and ran them. hg clone https://bitbucket.org/heidtmare/terramenta On Windows, things worked fine, on Ubuntu they didn't because the relevant native libraries aren't provided yet out of the box. Here's the result: The above provides the WorldWind globe, together with all the standard options, e.g., for showing names and other WorldWind features, together with several features that I don't understand yet, such as tools for creating shapes and a recorder for replaying sequences. The complete application is like this, i.e., one single functionality module is provided, which exposes several API packages that can be extended: It would really be cool if the above module could also be added to a Maven-based application via a reference to a Maven repository, in the way that Timon Veenstra and the AgroSense team have made available their GeoViewer. One cool thing from the GeoViewer solution is the Flamingo menubar, which I added to Terramenta by simply putting the dependency below into the application POM: <dependency>    <groupId>nl.cloudfarming.client</groupId>    <artifactId>menu</artifactId>    <version>1.0.24</version></dependency> The result, without doing anything other than the above: I am looking forward to helping to document the use cases and developer scenarios for Terramenta! Something like this, created by Timon to demonstrate the GeoViewer use case would be cool to have: http://java.net/projects/agrosense/pages/ExampleGeoviewerNormal

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• Take Two: Comparing JVMs on ARM/Linux

  - by user12608080

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

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• See you at OSCON!

  - by darcy

  In just under a month, I'll be speaking at the OSCON Java conference about various OpenJDK and JDK 7 matters: JDK 7 in a Nutshell The State of JDK and OpenJDK More detailed talks on those topics include Stuart's session on Coin in Action: Using New Java SE 7 Language Features in Real Code and Dalibor's OpenJDK – When And How To Contribute To The Java SE Reference Implementation. See you in Portland!

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• A very useful custom component

  - by Kevin Smith

  Whenever I am debugging a problem in WebCenter Content (WCC) I often find it useful to see the contents of the internal data binder used by WCC when executing a service. I want to know the value of all parameters passed in by the caller, either a user in the web GUI or from an application calling the service via RIDC or web services. I also want to the know the value of binder variables calculated by WCC as it processes a service. What defaults has it applied based on configuration settings or profile rules? What values has it derived based on the user input? To help with this I created a  component that uses a java filter to dump out the contents of the internal data binder to the WCC trace file. It dumps the binder contents using the toString() method. You can register this filter code using many different filter hooks to see how the binder is updated as WCC processes the service. By default, it uses the validateStandard filter hook which is useful during a CHECKIN service. It uses the system trace section, so make sure that trace section is enabled before looking for the output from this component. Here is some sample output>system/6    10.09 09:57:40.648    IdcServer-1    filter: postParseDataForServiceRequest, binder start -- system/6    10.09 09:57:40.698    IdcServer-1    *** LocalData *** system/6    10.09 09:57:40.698    IdcServer-1    (10 keys + 0 defaults) system/6    10.09 09:57:40.698    IdcServer-1    ClientEncoding=UTF-8 system/6    10.09 09:57:40.698    IdcServer-1    IdcService=CHECKIN_UNIVERSAL system/6    10.09 09:57:40.698    IdcServer-1    NoHttpHeaders=0 system/6    10.09 09:57:40.698    IdcServer-1    UserDateFormat=iso8601 system/6    10.09 09:57:40.698    IdcServer-1    UserTimeZone=UTC system/6    10.09 09:57:40.698    IdcServer-1    dDocTitle=Check in from RIDC using Framework Folder system/6    10.09 09:57:40.698    IdcServer-1    dDocType=Document system/6    10.09 09:57:40.698    IdcServer-1    dSecurityGroup=Public system/6    10.09 09:57:40.698    IdcServer-1    parentFolderPath=/folder1/folder2 system/6    10.09 09:57:40.698    IdcServer-1    primaryFile=testfile5.bin     system/6    10.09 09:57:40.698    IdcServer-1    ***  RESULT SETS  ***>system/6    10.09 09:57:40.698    IdcServer-1    binder end -------------------------------------------- See the readme included in the component for more details. You can download the component from here.

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• JavaOne Latin America Schedule Posted

  - by reza_rahman

  The official schedule for JavaOne Latin America 2012 is now posted. For the folks that are not yet aware, JavaOne Latin America is to be held on 4-6 December at the Transamerica Expo Center in São Paulo, Brazil. As you can expect there are keynotes, technical sessions, hands-on labs and demos led by Java luminaries from Brazil, Latin America and across the globe. There's tons of good stuff on Java EE and GlassFish. Arun Gupta will be delivering the Java technical keynote alongside the likes of Judson Althoff, Nandini Ramani, Georges Saab, Henrik Stahl, Simon Ritter and Terrence Barr. Here are just some of the Java EE centric sessions: Time Title Location Tuesday, Dec 4 12:15 PM Designing Java EE Applications in the Age of CDI Mezanino: Sala 14 Wednesday, Dec 5 5:30 PM Java EE 7 Platform: More Productivity and Integrated HTML Keynote Hall Thursday, Dec 6 11:15 AM Developing JAX-RS Web Applications Utilizing Server-Sent Events and WebSocket Mezanino: Sala 2 Thursday, Dec 6 12:30 PM HTML5 WebSocket and Java Mezanino: Sala 12 Thursday, Dec 6 1:45 PM What's new in Java Message Service 2.0 Mezanino: Sala 14 Thursday, Dec 6 3:00 PM JAX-RS 2.0: New and Noteworthy in the RESTful Web Services API Keynote Hall Thursday, Dec 6 4:15 PM Testing JavaServer Faces Applications with Arquillian and Selenium Mezanino: Sala 13 Thursday, Dec 6 4:15 PM Distributed Caching to Data Grids: The Past, Present, and Future of Scalable Java Mezanino: Sala 14 There will also be Java EE/GlassFish demos at the DEMOgrounds. The full schedule is posted here. Hope to see you there!

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• Un-used Indexes on MDP_MATRIX Consuming Resources

  - by user702295

  Disable un-used Indexes: As much as it is recommended to create relevant indexes, it is advised not to have too many indexes on the mdp_matrix table.  Too many indexes will cause long waits on the table as indexes needs to get updated every time the table is updated.  There are many seeded indexes on mdp_matrix, every out of the box data model level has an index on the matrix table.  If a level is unused in the specific data model of the implementation, it is advisable to disable that index.  If the customer is not sure if and how indexes are utilized, the DBA can monitor all indexes.  After a few cycles of operation, the DBA should go over that list and see which indexes have not been used.  Consider disabling them. There are scripts on the net to monitor indexes or use the monitoring usage clause in the alter index statement.

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• Managing Custom Series

  - by user702295

  Custom series that have been added should be done with client Defined Prefix, ex. ACME Final Forecast, so they are can be identified as non-standard series.  With that said, it is not always done, so beginning in v7.3.0 there is a new column called Application_Id in the Computed_Fields table.  This is the table that stores the Series information.  Standard Series will have have a prefix similar to COMPUTED_FIELD, while a custom series will have an Application_Id value similar to 9041128B99FC454DB8E8A289E5E8F0C5. So a SQL that will return the list of custom series in your database might look something like this: select computed_title Series_Name, application_id from computed_fields where application_id not like '%COMPUTED_FIELD%' order by 1;

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• Managing Custom Series

  - by user702295

  Custom series that have been added should be done with client Defined Prefix, ex. ACME Final Forecast, so they are can be identified as non-standard series.  With that said, it is not always done, so beginning in v7.3.0 there is a new column called Application_Id in the Computed_Fields table.  This is the table that stores the Series information.  Standard Series will have have a prefix similar to COMPUTED_FIELD, while a custom series will have an Application_Id value similar to 9041128B99FC454DB8E8A289E5E8F0C5. So a SQL that will return the list of custom series in your database might look something like this: select computed_title Series_Name, application_id from computed_fields where application_id not like '%COMPUTED_FIELD%' order by 1;

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