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• You're invited : Oracle Solaris Forum, Dec 18th, Petah Tikva

  - by Frederic Pariente

  The local ISV Engineering will be attending and speaking at the Oracle and ilOUG Solaris Forum next week in Israel. Come meet us there! This free event requires registration, thanks. YOU'RE INVITED Oracle Solaris Forum Date : Tuesday, December 18th, 2012 Time : 14:00 Location :  Dan Academic CenterPetach TikvaIsrael Agenda : New Features in Solaris 11.1SPARC T4 & T5Solaris 11 Serviceability See you there!

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• SPARC Solaris Momentum

  - by Mike Mulkey-Oracle

  Following up on the Oracle Solaris 11.2 launch on April 29th, if you were able to watch the launch event, you saw Mark Hurd state that Oracle will be No. 1 in high-end computing systems "in a reasonable time frame”.  "This is not a 3-year vision," he continued.Well, According to IDC's latest 1QCY14 Tracker, Oracle has regained the #1 UNIX Shipments Marketshare! You can see the report and read about it here: Oracle regains the #1 UNIX Shipments Marketshare, but suffice to say that SPARC Solaris is making strong gains on the competition.  If you have seen the public roadmap through 2019 of Oracle's commitment to continue to deliver on this technology, you can see that Mark Hurd’s comment was not to be taken lightly.  We feel the systems tide turning in Oracle's direction and are working hard to show our partner community the value of being a part of the SPARC Solaris momentum.We are now planning for the Solaris 11.2 GA in late summer (11.2 beta is available now), as well as doing early preparations for Oracle OpenWorld 2014 on September 28th.  Stay tuned there!Here is a sampling of the coverage highlights around the Oracle Solaris 11.2 launch:“Solaris is still one of the most advanced platforms in the enterprise.” – ITBusinessEdge“Oracle is serious about clouds now, just as its customers are, whether they are building them in their own datacenters or planning to use public clouds.” – EnterpriseTech"Solaris is more about a layer of an integrated system than an operating system.” — ZDNet

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• ZFS Basics

  - by user12614620

  Stage 1 basics: creating a pool # zpool create $NAME $REDUNDANCY $DISK1_0..N [$REDUNDANCY $DISK2_0..N]... $NAME = name of the pool you're creating. This will also be the name of the first filesystem and, by default, be placed at the mountpoint "/$NAME" $REDUNDANCY = either mirror or raidzN, and N can be 1, 2, or 3. If you leave N off, then it defaults to 1. $DISK1_0..N = the disks assigned to the pool. Example 1: zpool create tank mirror c4t1d0 c4t2d0 name of pool: tank redundancy: mirroring disks being mirrored: c4t1d0 and c4t2d0 Capacity: size of a single disk Example 2: zpool create tank raidz c4t1d0 c4t2d0 c4t3d0 c4t4d0 c4t5d0 Here the redundancy is raidz, and there are five disks, in a 4+1 (4 data, 1 parity) config. This means that the capacity is 4 times the disk size. If the command used "raidz2" instead, then the config would be 3+2. Likewise, "raidz3" would be a 2+3 config. Example 3: zpool create tank mirror c4t1d0 c4t2d0 mirror c4t3d0 c4t4d0 This is the same as the first mirror example, except there are two mirrors now. ZFS will stripe data across both mirrors, which means that writing data will go a bit faster. Note: you cannot create a mirror of two raidzs. You can create a raidz of mirrors, but to do that requires trickery.

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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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• Developer Webinar Today: "Writing Solaris 11 Device Drivers"

  - by user13333379

  Oracle's Solaris Organization is pleased to announce a Technical Webinar for Developers on Oracle Solaris 11: "Writing Solaris 11 Device Drivers" By Bill Knoche (Principal Software Engineer) today June 5, 2012 9:00 AM PDT This bi-weekly webinar series (every other Tuesday @ 9 a.m. PT) is designed for ISVs, IHVs, and Application Developers who want a deep-dive overview about how they can deploy Oracle Solaris 11 into their application environments. This series will provide you the unique opportunity to learn directly from Oracle Solaris ISV Engineers and will include LIVE Q&A via chat with subject matter experts from each topic area. Any OTN member can register for this free webinar here. 

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• Tip #15: How To Debug Unit Tests During Maven Builds

  - by ByronNevins

  It must be really really hard to step through unit tests in a debugger during a maven build.  Right? Wrong! Here is how i do it: 1) Set up these environmental variables: MAVEN_OPTS=-Xmx1024m -Xms256m -XX:MaxPermSize=512mMAVEN_OPTS_DEBUG=-Xmx1024m -Xms256m -XX:MaxPermSize=512m  -Xdebug (no line break here!!)  -Xrunjdwp:transport=dt_socket,server=y,suspend=y,address=9999MAVEN_OPTS_REG=-Xmx1024m -Xms256m -XX:MaxPermSize=512m 2) create 2 scripts or aliases like so:  maveny.bat: set MAVEN_OPTS=%MAVEN_OPTS_DEBUG% mavenn.bat: set MAVEN_OPTS=%MAVEN_OPTS_REG%    To debug do this: run maveny.bat run mvn install attach your debugger to port 9999 (set breakpoints of course) When maven gets to the unit test phase it will hit your breakpoint and wait for you. When done debugging simply run mavenn.bat Notes If it takes a while to do the build then you don't really need to set the suspend=y flag. If you set the suspend=n flag then you can just leave it -- but only one maven build can run at a time because of the debug port conflict.

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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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• MySQL tech writer position on Oracle jobs site

  - by stefanhinz

  Just in case you missed this, last week I announced that my team is looking for an experienced technical writer. Now the job offer has gone live on the Oracle website. Have a look! That's the EMEA job site, but the position is actually available for Europe or North America. The job offer should appear on the American site soon, too. If you want to join a great team, or if you know someone suitable who does, don't hesitate to contact me!

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• Solaris 11

  - by user9154181

  Oracle has a strict policy about not discussing product features until they appear in shipping product. Now that Solaris 11 is publically available, it is time to catch up. I will be shortly posting articles on a variety of new developments in the Solaris linkers and related bits: 64-bit Archives After 40+ years of Unix, the archive file format has run out of room. The ar and link-editor (ld) commands have been enhanced to allow archives to grow past their previous 32-bit limits. Guidance The link-editor is now willing and able to tell you how to alter your link lines in order to build better objects. Stub Objects This is one of the bigger projects I've undertaken since joining the Solaris group. Stub objects are shared objects, built entirely from mapfiles, that supply the same linking interface as the real object, while containing no code or data. You can link to them, but cannot use them at runtime. It was pretty simple to add this ability to the link-editor, but the changes to the OSnet in order to apply them to building Solaris were massive. I discuss how we came to invent stub objects, how we apply them to build the OSnet in a more parallel and scalable manner, and about the follow on opportunities that have emerged from the new stub proto area we created to hold them. The elffile Utility A new standard Solaris utility, elffile is a variant of the file utility, focused exclusively on linker related files. elffile is of particular value for examining archives, as it allows you to find out what is inside them without having to first extract the archive members into temporary files. This release has been a long time coming. I joined the Solaris group in late 2005, and this will be my first FCS. From a user perspective, Solaris 11 is probably the biggest change to Solaris since Solaris 2.0. Solaris 11 polishes the ground breaking features from Solaris 10 (DTrace, FMA, ZFS, Zones), and uses them to add a powerful new packaging system, numerous other enhacements and features, along with a huge modernization effort. I'm excited to see it go out into the world. I hope you enjoy using it as much as we did creating it. Software is never done. On to the next one...

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• Security Access Control With Solaris Virtualization

  - by Thierry Manfe-Oracle

  Numerous Solaris customers consolidate multiple applications or servers on a single platform. The resulting configuration consists of many environments hosted on a single infrastructure and security constraints sometimes exist between these environments. Recently, a customer consolidated many virtual machines belonging to both their Intranet and Extranet on a pair of SPARC Solaris servers interconnected through Infiniband. Virtual Machines were mapped to Solaris Zones and one security constraint was to prevent SSH connections between the Intranet and the Extranet. This case study gives us the opportunity to understand how the Oracle Solaris Network Virtualization Technology —a.k.a. Project Crossbow— can be used to control outbound traffic from Solaris Zones. Solaris Zones from both the Intranet and Extranet use an Infiniband network to access a ZFS Storage Appliance that exports NFS shares. Solaris global zones on both SPARC servers mount iSCSI LU exported by the Storage Appliance.  Non-global zones are installed on these iSCSI LU. With no security hardening, if an Extranet zone gets compromised, the attacker could try to use the Storage Appliance as a gateway to the Intranet zones, or even worse, to the global zones as all the zones are reachable from this node. One solution consists in using Solaris Network Virtualization Technology to stop outbound SSH traffic from the Solaris Zones. The virtualized network stack provides per-network link flows. A flow classifies network traffic on a specific link. As an example, on the network link used by a Solaris Zone to connect to the Infiniband, a flow can be created for TCP traffic on port 22, thereby a flow for the ssh traffic. A bandwidth can be specified for that flow and, if set to zero, the traffic is blocked. Last but not least, flows are created from the global zone, which means that even with root privileges in a Solaris zone an attacker cannot disable or delete a flow. With the flow approach, the outbound traffic of a Solaris zone is controlled from outside the zone. Schema 1 describes the new network setting once the security has been put in place. Here are the instructions to create a Crossbow flow as used in Schema 1 : (GZ)# zoneadm -z zonename halt ...halts the Solaris Zone. (GZ)# flowadm add-flow -l iblink -a transport=TCP,remote_port=22 -p maxbw=0 sshFilter  ...creates a flow on the IB partition "iblink" used by the zone to connect to the Infiniband.  This IB partition can be identified by intersecting the output of the commands 'zonecfg -z zonename info net' and 'dladm show-part'.  The flow is created on port 22, for the TCP traffic with a zero maximum bandwidth.  The name given to the flow is "sshFilter". (GZ)# zoneadm -z zonename boot  ...restarts the Solaris zone now that the flow is in place.Solaris Zones and Solaris Network Virtualization enable SSH access control on Infiniband (and on Ethernet) without the extra cost of a firewall. With this approach, no change is required on the Infiniband switch. All the security enforcements are put in place at the Solaris level, minimizing the impact on the overall infrastructure. The Crossbow flows come in addition to many other security controls available with Oracle Solaris such as IPFilter and Role Based Access Control, and that can be used to tackle security challenges.

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• Tip #19 Module Private Visibility in OSGi

  - by ByronNevins

  I hate public and protected methods and classes.  It requires so much work to change them in a huge project like GlassFish.  Not to mention that you may well have to support those APIs forever.  They are highly overused in GlassFish.  In fact I'd bet that > 95% of classes are marked as public for no good reason.  It's just (bad) habit is my guess. private and default visibility (I call it package-private) is easier to maintain.  It is much much easier to change such classes and methods around.  If you have ANY public method or public class in GlassFish you'll need to grep through a tremendous amount of source code to find all callers.  But even that won't be theoretically reliable.  What if a caller is using reflection to access public methods?  You may never find such usages. If you have package private methods, it's easy.  Simply grep through all the code in that one package.  As long as that package compiles ok you're all set.  There can' be any compile errors anywhere else.  It's a waste of time to even look around or build the "outside" world.  So you may be thinking: "Aha!  I'll just make my module have one giant package with all the java files.  Then I can use the default visibility and maintenance will be much easier.  But there's a problem.  You are wasting a very nice feature of java -- organizing code into separate packages.  It also makes the code much more encapsulated.  Unfortunately to share code between the packages you have no choice but to declare public visibility. What happens in practice is that a module ends up having tons of public classes and methods that are used exclusively inside the module.  Which finally brings me to the point of this blog:  If Only There Was A Module-Private Visibility Available Well, surprise!  There is such a mechanism.  If your project is running under OSGi that is.  Like GlassFish does!  With this mechanism you can easily add another level of visibility by telling OSGi exactly which public you want to be exposed outside of the module.  You get the best of both worlds: Better encapsulation of your code so that maintenance is easier and productivity is increased. Usage of public visibility inside the module so that you can encapsulate intra-module better with packages. How I do this in GlassFish: Carefully plan out at least one package that will contain "true" publics.  This is the package that will be exported by OSGi.  I recommend just one package. Here is how to tell OSGi to use it in GlassFish -- edit osgi.bundle like so:-exportcontents:     org.glassfish.mymodule.truepublics;  version=${project.osgi.version} Now all publics declared in any other packages will be visible module-wide but not outside the module. There is one caveat: Accessing "module-private" items outside of the module is controlled at run-time, not compile-time.  The compiler has no clue that a public in a dependent module isn't really public.  it will happily compile it.  At runtime you will definitely see fireworks.  The good news is that you don't have to wait for the code path that tries to use the "module-private" items to fire.  OSGi will complain loudly when that module gets loaded.  OSGi will refuse to load it.  You will see an error like this: remote failure: Error while loading FOO: Exception while adding the new configuration : Error occurred during deployment: Exception while loading the app : org.osgi.framework.BundleException: Unresolved constraint in bundle com.oracle.glassfish.miscreant.code [115]: Unable to resolve 115.0: missing requirement [115.0] osgi.wiring.package; (osgi.wiring.package=org.glassfish.mymodule.unexported). Please see server.log for more details. That is if you accidentally change code in module B to use a public that is really a "module-private" in module A, then you will see the error immediately when you try to test whatever you were changing in module B.

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• April 25th Online Forum -- Oracle Solaris 11: What's New Since the Launch

  - by Larry Wake

  It's been a few months since we released Oracle Solaris 11, so we thought it was time to check in and let you know how things are going. On April 25th, at 9:00 PT, we'll host an online forum, featuring Markus Flierl, the VP for Solaris core engineering, as well as engineers, customers and partners. During the forum, Markus and his crew will give an update on the release, recap Oracle's OS strategy, and give you a peek at what the engineers are working on for future updates. I think one of the more interesting parts of this event will be the chance for some of our customers to share why they've moved to Oracle Solaris 11 and what benefits it has already given them.  We'll also have an online chat, so you can ask Solaris engineers any questions about what you've heard, or other thoughts you've had.  It should be a worthwhile event -- hope you can join us. Online Forum: Oracle Solaris 11: What’s New Since the LaunchApril 25th 9:00 a.m. PDT – 11:30 a.m. PDTRegister today!

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• No proper kmeans clustering of images in matlab

  - by user3237134

  I am having 1200 face images in my training set.There are 2989 test face images. I am using eigen faces (PCA) for feature extraction. I am using kmeans clustering. Source code I tried: IDX = kmeans(z,5); clustercount=accumarray(IDX, ones(size(IDX))); disp(clustercount); Problem: Images are not clustered properly. Same faces should be clustered. But different faces are being clustered. Questions: Should I have to use still more face images for training? How accuracy of clustering can be achieved? What is the solution?

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• ndd on Solaris 10

  - by user12620111

  This is mostly a repost of LaoTsao's Weblog with some tweaks. Last time that I tried to cut & paste directly off of his page, some of the XML was messed up. I run this from my MacBook. It should also work from your windows laptop if you use cygwin. ================If not already present, create a ssh key on you laptop================ # ssh-keygen -t rsa ================ Enable passwordless ssh from my laptop. Need to type in the root password for the remote machines. Then, I no longer need to type in the password when I ssh or scp from my laptop to servers. ================ #!/usr/bin/env bash for server in `cat servers.txt` do   echo root@$server   cat ~/.ssh/id_rsa.pub | ssh root@$server "cat >> .ssh/authorized_keys" done ================ servers.txt ================ testhost1testhost2 ================ etc_system_addins ================ set rpcmod:clnt_max_conns=8 set zfs:zfs_arc_max=0x1000000000 set nfs:nfs3_bsize=131072 set nfs:nfs4_bsize=131072 ================ ndd-nettune.txt ================ #!/sbin/sh # # ident   "@(#)ndd-nettune.xml    1.0     01/08/06 SMI" . /lib/svc/share/smf_include.sh . /lib/svc/share/net_include.sh # Make sure that the libraries essential to this stage of booting  can be found. LD_LIBRARY_PATH=/lib; export LD_LIBRARY_PATH echo "Performing Directory Server Tuning..." >> /tmp/smf.out # # Standard SuperCluster Tunables # /usr/sbin/ndd -set /dev/tcp tcp_max_buf 2097152 /usr/sbin/ndd -set /dev/tcp tcp_xmit_hiwat 1048576 /usr/sbin/ndd -set /dev/tcp tcp_recv_hiwat 1048576 # Reset the library path now that we are past the critical stage unset LD_LIBRARY_PATH ================ ndd-nettune.xml ================ <?xml version="1.0"?> <!DOCTYPE service_bundle SYSTEM "/usr/share/lib/xml/dtd/service_bundle.dtd.1"> <!-- ident "@(#)ndd-nettune.xml 1.0 04/09/21 SMI" --> <service_bundle type='manifest' name='SUNWcsr:ndd'>   <service name='network/ndd-nettune' type='service' version='1'>     <create_default_instance enabled='true' />     <single_instance />     <dependency name='fs-minimal' type='service' grouping='require_all' restart_on='none'>       <service_fmri value='svc:/system/filesystem/minimal' />     </dependency>     <dependency name='loopback-network' grouping='require_any' restart_on='none' type='service'>       <service_fmri value='svc:/network/loopback' />     </dependency>     <dependency name='physical-network' grouping='optional_all' restart_on='none' type='service'>       <service_fmri value='svc:/network/physical' />     </dependency>     <exec_method type='method' name='start' exec='/lib/svc/method/ndd-nettune' timeout_seconds='3' > </exec_method>     <exec_method type='method' name='stop'  exec=':true'                       timeout_seconds='3' > </exec_method>     <property_group name='startd' type='framework'>       <propval name='duration' type='astring' value='transient' />     </property_group>     <stability value='Unstable' />     <template>       <common_name>     <loctext xml:lang='C'> ndd network tuning </loctext>       </common_name>       <documentation>     <manpage title='ndd' section='1M' manpath='/usr/share/man' />       </documentation>     </template>   </service> </service_bundle> ================ system_tuning.sh ================ #!/usr/bin/env bash for server in `cat servers.txt` do   cat etc_system_addins | ssh root@$server "cat >> /etc/system"   scp ndd-nettune.xml root@${server}:/var/svc/manifest/site/ndd-nettune.xml   scp ndd-nettune.txt root@${server}:/lib/svc/method/ndd-nettune   ssh root@$server chmod +x /lib/svc/method/ndd-nettune   ssh root@$server svccfg validate /var/svc/manifest/site/ndd-nettune.xml   ssh root@$server svccfg import /var/svc/manifest/site/ndd-nettune.xml done

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• SPARC T5-4 Engineering Simulation Solution

  - by Mike Mulkey-Oracle

  A recent Oracle internal performance evaluation for computer-based product design demonstrated that Oracle's SPARC T5-4 server running MSC's SimManager simulation software with Oracle Database 12c consolidates the work of multiple x86 servers while delivering better overall performance.   Engineering simulation solutions have taken the center stage in helping companies design and develop innovative products while reducing physical prototyping costs, and exploring a larger design space, resulting in more design possibilities. For this solution, a single SPARC T5-4 server running Oracle Solaris 11 was deployed to consolidate the MSC SimManager server, the Oracle Database 12c server, and the web application server onto a single platform. An automotive design workload was deployed to demonstrate how the SPARC T5-4 server can be used to consolidate the work of multiple x86 servers and deliver better overall performance while reducing complexity and achieving optimal product designs.  A joint Oracle/MSC Software solution brief describes this in more detail:  A Simplified Solution for Product Lifecycle Management —MSC SimManager on a SPARC T5-4 Server

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• MySQL documentation writer for MEM and Replication wanted!

  - by stefanhinz

  As MySQL is thriving and growing, we're looking for an experienced technical writer located in the UK or Ireland to join the MySQL documentation team. For this job, we need the best and most dedicated people around. You will be part of a geographically distributed documentation team responsible for the technical documentation of all MySQL products. Team members are expected to work independently, requiring discipline and excellent time-management skills as well as the technical facilities and experience to communicate across the Internet. Candidates should be prepared to work intensively with our engineers and support personnel. The overall team is highly distributed across different geographies and time zones. Our source format is DocBook XML. We're not just writing documentation, but also handling publication. This means you should be familiar with DocBook, and willing to learn our publication infrastructure. Your areas of responsibility would initially be MySQL Enterprise Monitor, and MySQL Replication. This means you should be familiar with MySQL in general, and preferably also with the MySQL Enterprise offerings. A MySQL certification will be considered an advantage. Other qualifications you should have: Native English speaker 5 or more years previous experience in writing software documentation Familiarity with distributed working environments and versioning systems such as SVN Comfortable with working on multiple operating systems, particularly Windows, Mac OS X, and Linux Ability to administer own workstations and test environment Excellent written and oral communication skills Ability to provide (online) samples of your work, e.g. books or articles If you're interested, contact me under [email protected]. For reference, the job offer can be viewed here.

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• Watch out for a trailing slash on $ORACLE_HOME

  - by user12620111

  Watch out for a trailing slash on $ORACLE_HOME oracle$ export ORACLE_HOME=/u01/app/11.2.0.3/grid/ oracle$ ORACLE_SID=+ASM1 oracle$ sqlplus / as sysasm SQL*Plus: Release 11.2.0.3.0 Production on Thu Mar 29 13:04:01 2012 Copyright (c) 1982, 2011, Oracle.  All rights reserved. Connected to an idle instance. SQL> oracle$ export ORACLE_HOME=/u01/app/11.2.0.3/grid oracle$ ORACLE_SID=+ASM1 oracle$ sqlplus / as sysasm SQL*Plus: Release 11.2.0.3.0 Production on Thu Mar 29 13:04:44 2012 Copyright (c) 1982, 2011, Oracle.  All rights reserved. Connected to: Oracle Database 11g Enterprise Edition Release 11.2.0.3.0 - 64bit Production With the Real Application Clusters and Automatic Storage Management options SQL>

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• Avoid overwriting of logs

  - by Koppar

  What usually happens is, the logs get filled up and begin getting overwritten, which makes them useless. To avoid it, use these 2 properties in the logging.properties file to suit your requirement: java.util.logging.FileHandler.count  = x (it is 1 by default, increase it to a bigger value) This number specifies the number of log files that can be created before overwriting starts. For instance, if you set it to 5, java0.log, java1.log ... java5.log will be created to log details so more information can be captured Likewise, java.util.logging.FileHandler.limit  would specify the size of each log.

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• EOFs in Solaris 11

  - by nospam(at)example.com (Joerg Moellenkamp)

  Well ? from comments here and elsewhere, the two most worst things seemed to be the the removal of 32-bit support and removal of support for certain components. Just to set things into perspective: Solaris 10 was released 2005, the newsest class of machines not supported by it were the Ultra1. This one was released 1995. The UltraSPARC-Systems not able to run on Solaris 11 were released 2001. Well ? we have 2011 now ?. Regarding 32-bit support: Well ? I don't think "playing around with Solaris on old gear" is the problem. At first, most people are playing around with virtual machines. But there is something different: 64-bit computing was introduced for x86 in 2003 (yes ? it's really that old). I think this move is more hurting to the people using boards with the first-gen Intel Atom "Silverthorne" as small file servers. And then Solaris 10 won't disappear with Solaris 11

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• Performance impact of the new mtmalloc memory allocator

  - by nospam(at)example.com (Joerg Moellenkamp)

  I wrote at a number of occasions (here or here), that it could be really beneficial to use a different memory allocator for highly-threaded workloads, as the standard allocator is well ... the standard, however not very effective as soon as many threads comes into play. I didn't wrote about this as it was in my phase of silence but there was some change in the allocator area, Solaris 10 got a revamped mtmalloc allocator in version Solaris 10 08/11 (as described in "libmtmalloc Improvements"). The new memory allocator was introduced to Solaris development by the PSARC case 2010/212. But what's the effect of this new allocator and how does it works? Rickey C. Weisner wrote a nice article with "How Memory Allocation Affects Performance in Multithreaded Programs" explaining the inner mechanism of various allocators but he also publishes test results comparing Hoard, mtmalloc, umem, new mtmalloc and the libc malloc. Really interesting read and a must for people running applications on servers with a high number of threads.

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• Collaborative Filtering Techniques

  - by user95261

  Good Day! I am in need of help about collaborative filtering techniques implementation in predicting psychopathy of twitter users. I have two data set, training set and test set. Training set users have already scores in psychopathy, I need any collaborative filtering techniques to predict scores of test set users. Collaborative Filtering such as Item/User-Based CF, Bayesian Belief Nets, Clustering, Latent Semantic, etc. Please help me. :( I am very confused on how to implement any of these. Thank you!

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• enable iptables firewall on linux

  - by user13278061

   Here is a very basic set of instruction to setup a simple iptables firewall configuration on linux (redhat) Enable firewall log as root thenenter the following command, it launch a text gui #> setup first screen: Choose firewall configuration second screen: choose "Enabled" then "Customize" third screen: select you interface in "Trusted Devices", select "Allow Incoming" for "SSH" "Telnet" "FTP" (add eventually other ports, then press "OK" (2 times, then "Quit") At that point the firewall is enabled. You can start/stop/monitor using service iptables start/stop/status Change timeout to changed the tcp established connection timeout #> echo 120 >    /proc/sys/net/ipv4/netfilter/ip_conntrack_tcp_timeout_established Monitor connection in iptables tables for example if you want to track a connection establish from a host  152.68.65.207 #> cat /proc/net/ip_conntrack |grep 152.68.65.207

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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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• 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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• Securing a Cloud-Based Data Center

  - by Orgad Kimchi

  No doubt, with all the media reports about stolen databases and private information, a major concern when committing to a public or private cloud must be preventing unauthorized access of data and applications. In this article, we discuss the security features of Oracle Solaris 11 that provide a bullet-proof cloud environment. As an example, we show how the Oracle Solaris Remote Lab implementation utilizes these features to provide a high level of security for its users. Note: This is the second article in a series on cloud building with Oracle Solaris 11. See Part 1 here.  When we build a cloud, the following aspects related to the security of the data and applications in the cloud become a concern: • Sensitive data must be protected from unauthorized access while residing on storage devices, during transmission between servers and clients, and when it is used by applications. • When a project is completed, all copies of sensitive data must be securely deleted and the original data must be kept permanently secure. • Communications between users and the cloud must be protected to prevent exposure of sensitive information from “man in a middle attacks.” • Limiting the operating system’s exposure protects against malicious attacks and penetration by unauthorized users or automated “bots” and “rootkits” designed to gain privileged access. • Strong authentication and authorization procedures further protect the operating system from tampering. • Denial of Service attacks, whether they are started intentionally by hackers or accidentally by other cloud users, must be quickly detected and deflected, and the service must be restored. In addition to the security features in the operating system, deep auditing provides a trail of actions that can identify violations,issues, and attempts to penetrate the security of the operating system. Combined, these threats and risks reinforce the need for enterprise-grade security solutions that are specifically designed to protect cloud environments. With Oracle Solaris 11, the security of any cloud is ensured. This article explains how.

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