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  • Makefile error: Unexpected end of line seen

    - by Winston C. Yang
    Trying to install Git, I ran configure and make, but got the following error message: make: Fatal error in reader: Makefile, line 221: Unexpected end of line seen The Makefile looks like: 218: GIT-VERSION-FILE: FORCE 219: @$(SHELL_PATH) ./GIT-VERSION-GEN 220: -include GIT-VERSION-FILE 221: 222: uname_S := $(shell sh -c 'uname -s 2>/dev/null øø echo not') What's causing the error? The following information may or may not be relevant: I tried to install Git 1.7.0.3 on SunOS 5.9 (Solaris 9) in a directory in my account. The gcc version is 3.4.2 (older then the version of 3.4.6 stated by sunfreeware.com). I don't have root privileges.

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  • Error premature end of file pops up when accessing a URL

    - by kayteen
    Hi, I am using Coldfsuion 8.0.1 and Solaris 10 and when i try to run this URL, http://IPADDRESS/flex2gateway/http I am receiving an error message "Premature end of file". Please help me out if i am missing any installation/fix. Error details: [Flex] Premature end of file. flex.messaging.MessageException: Premature end of file. at flex.messaging.io.amfx.AmfxMessageDeserializer.fatalError(AmfxMessageDeserializer.java:249) at org.apache.xerces.util.ErrorHandlerWrapper.fatalError(Unknown Source) at org.apache.xerces.impl.XMLErrorReporter.reportError(Unknown Source) at org.apache.xerces.impl.XMLErrorReporter.reportError(Unknown Source) at org.apache.xerces.impl.XMLVersionDetector.determineDocVersion(Unknown Source) at org.apache.xerces.parsers.XML11Configuration.parse(Unknown Source) at org.apache.xerces.parsers.XML11Configuration.parse(Unknown Source) at org.apache.xerces.parsers.XMLParser.parse(Unknown Source) at org.apache.xerces.parsers.AbstractSAXParser.parse(Unknown Source) at javax.xml.parsers.SAXParser.parse(SAXParser.java:395) at javax.xml.parsers.SAXParser.parse(SAXParser.java:198) at flex.messaging.io.amfx.AmfxMessageDeserializer.parse(AmfxMessageDeserializer.java:103) at flex.messaging.io.amfx.AmfxMessageDeserializer.readMessage(AmfxMessageDeserializer.java:90) at flex.messaging.endpoints.amf.SerializationFilter.invoke(SerializationFilter.java:113)

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  • Jrun Server crashes when a page has cfform,cfgrid,cflayout etc..

    - by kayteen
    Hi, I am having a weird problem. I have a application that works perfect in my development machine and UAT machine which is of windows 2003 server/cf8. When i uploaded the same application on Solaris box with CF8, and access the site it works perfect until i hit the page that has CFFORM, CFLAYOUT, CFGRID.. etc.. The Jrun Server just crashes[jrpp-2 unexpected constant#48...]. There is nothing available in any of the logs. Please help me how to resolve this thing...!! Thanks, Bittoo More Info: http://forums.adobe.com/thread/605411?tstart=0

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  • How can I temporarily redirect printf output to a c-string?

    - by Ben S
    I'm writing an assignment which involves adding some functionality to PostgreSQL on a Solaris box. As part of the assignment, we need to print some information on the client side (i.e.: using elog.) PostgreSQL already has lots of helper methods which print out the required information, however, the helper methods are packed with hundreds of printf calls, and the elog method only works with c-style strings. Is there I way that I could temporarily redirect printf calls to a buffer so I could easily send it over elog to the client? If that's not possible, what would be the simplest way to modify the helper methods to end up with a buffer as output?

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  • Any book that covers internals of recent versions of Unix OS

    - by claws
    This summer I'm getting into UNIX (mostly *BSD) development. I've graduate level knowledge about operating systems. I can also understand the code & read from here and there but the thing is I want to make most of my time. Reading books are best for this. From my search I found that these two books The Design and Implementation of the 4.4 BSD Operating System (1996) "Unix Internals: The New Frontiers" by Uresh Vahalia (1996) (See here for 2nd edition) are like established books on UNIX OS internals. But the thing is these books are pretty much outdated. So, Is there any recent books that covers internals of recent Unix OS? How about books on other Unix operating systems? They seem to be recent than above books but how close are they to OpenBSD/FreeBSD? Solaris 10 and OpenSolaris Kernel Architecture, 2 edition (July 20, 2006) HP-UX 11i Internals (February 1, 2004) I really don't prefer HP-UX as its not open source.

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  • Minimizing Java Thread Context Switching Overhead

    - by binil
    I have a Java application running on Sun 1.6 32-bit VM/Solaris 10 (x86)/Nahelem 8-core(2 threads per core). A specific usecase in the application is to respond to some external message. In my performance test environment, when I prepare and send the response in the same thread that receives the external input, I get about 50 us advantage than when I hand off the message to a separate thread to send the response. I use a ThreadPoolExecutor with a SynchronousQueue to do the handoff. In your experience what is the acceptable delay between scheduling a task to a thread pool and it getting picked up for execution? What ideas had worked for you in the past to try improve this?

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  • perl script grabbing environment vars from "someplace else"

    - by Michael Wilson
    On a Solaris box in a "mysterious production system" I'm running a perl script that references an environment variable. No big deal. The contents of that variable from the shell both pre and post execution are what I expect. However, when reported by the script, it appears as though it's running in some other sub-shell which is clobbering my vars with different values for the duration of the script. Unfortunately I really can't paste the code. I'm trying to get an atomic case, but I'm at my wit's end here. Thoughts?

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  • Is my Perl script grabbing environment variabless from "someplace else"?

    - by Michael Wilson
    On a Solaris box in a "mysterious production system" I'm running a Perl script that references an environment variable. No big deal. The contents of that variable from the shell both pre- and post-execution are what I expect. However, when reported by the script, it appears as though it's running in some other sub-shell which is clobbering my vars with different values for the duration of the script. Unfortunately I really can't paste the code. I'm trying to get an atomic case, but I'm at my wit's end here.

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  • String Manipulation in Bash

    - by user348000
    Hello- I am a newbie in Bash and I am doing some string manipulation. I have the following file among other files in my directory: jdk-6u20-solaris-i586.sh I am doing the following to get jdk-6u20 in my script: myvar=`ls -la | awk '{print $9}' | egrep "i586" | cut -c1-8` echo $myvar but now I want to convert jdk-6u20 to jdk1.6.0_20. I can't seem to figure out how to do it. It must be as generic as possible. For example if I had jdk-6u25, I should be able to convert it at the same way to jdk1.6.0_25 so on and so forth Any suggestions?

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  • Thread placement policies on NUMA systems - update

    - by Dave
    In a prior blog entry I noted that Solaris used a "maximum dispersal" placement policy to assign nascent threads to their initial processors. The general idea is that threads should be placed as far away from each other as possible in the resource topology in order to reduce resource contention between concurrently running threads. This policy assumes that resource contention -- pipelines, memory channel contention, destructive interference in the shared caches, etc -- will likely outweigh (a) any potential communication benefits we might achieve by packing our threads more densely onto a subset of the NUMA nodes, and (b) benefits of NUMA affinity between memory allocated by one thread and accessed by other threads. We want our threads spread widely over the system and not packed together. Conceptually, when placing a new thread, the kernel picks the least loaded node NUMA node (the node with lowest aggregate load average), and then the least loaded core on that node, etc. Furthermore, the kernel places threads onto resources -- sockets, cores, pipelines, etc -- without regard to the thread's process membership. That is, initial placement is process-agnostic. Keep reading, though. This description is incorrect. On Solaris 10 on a SPARC T5440 with 4 x T2+ NUMA nodes, if the system is otherwise unloaded and we launch a process that creates 20 compute-bound concurrent threads, then typically we'll see a perfect balance with 5 threads on each node. We see similar behavior on an 8-node x86 x4800 system, where each node has 8 cores and each core is 2-way hyperthreaded. So far so good; this behavior seems in agreement with the policy I described in the 1st paragraph. I recently tried the same experiment on a 4-node T4-4 running Solaris 11. Both the T5440 and T4-4 are 4-node systems that expose 256 logical thread contexts. To my surprise, all 20 threads were placed onto just one NUMA node while the other 3 nodes remained completely idle. I checked the usual suspects such as processor sets inadvertently left around by colleagues, processors left offline, and power management policies, but the system was configured normally. I then launched multiple concurrent instances of the process, and, interestingly, all the threads from the 1st process landed on one node, all the threads from the 2nd process landed on another node, and so on. This happened even if I interleaved thread creating between the processes, so I was relatively sure the effect didn't related to thread creation time, but rather that placement was a function of process membership. I this point I consulted the Solaris sources and talked with folks in the Solaris group. The new Solaris 11 behavior is intentional. The kernel is no longer using a simple maximum dispersal policy, and thread placement is process membership-aware. Now, even if other nodes are completely unloaded, the kernel will still try to pack new threads onto the home lgroup (socket) of the primordial thread until the load average of that node reaches 50%, after which it will pick the next least loaded node as the process's new favorite node for placement. On the T4-4 we have 64 logical thread contexts (strands) per socket (lgroup), so if we launch 48 concurrent threads we will find 32 placed on one node and 16 on some other node. If we launch 64 threads we'll find 32 and 32. That means we can end up with our threads clustered on a small subset of the nodes in a way that's quite different that what we've seen on Solaris 10. So we have a policy that allows process-aware packing but reverts to spreading threads onto other nodes if a node becomes too saturated. It turns out this policy was enabled in Solaris 10, but certain bugs suppressed the mixed packing/spreading behavior. There are configuration variables in /etc/system that allow us to dial the affinity between nascent threads and their primordial thread up and down: see lgrp_expand_proc_thresh, specifically. In the OpenSolaris source code the key routine is mpo_update_tunables(). This method reads the /etc/system variables and sets up some global variables that will subsequently be used by the dispatcher, which calls lgrp_choose() in lgrp.c to place nascent threads. Lgrp_expand_proc_thresh controls how loaded an lgroup must be before we'll consider homing a process's threads to another lgroup. Tune this value lower to have it spread your process's threads out more. To recap, the 'new' policy is as follows. Threads from the same process are packed onto a subset of the strands of a socket (50% for T-series). Once that socket reaches the 50% threshold the kernel then picks another preferred socket for that process. Threads from unrelated processes are spread across sockets. More precisely, different processes may have different preferred sockets (lgroups). Beware that I've simplified and elided details for the purposes of explication. The truth is in the code. Remarks: It's worth noting that initial thread placement is just that. If there's a gross imbalance between the load on different nodes then the kernel will migrate threads to achieve a better and more even distribution over the set of available nodes. Once a thread runs and gains some affinity for a node, however, it becomes "stickier" under the assumption that the thread has residual cache residency on that node, and that memory allocated by that thread resides on that node given the default "first-touch" page-level NUMA allocation policy. Exactly how the various policies interact and which have precedence under what circumstances could the topic of a future blog entry. The scheduler is work-conserving. The x4800 mentioned above is an interesting system. Each of the 8 sockets houses an Intel 7500-series processor. Each processor has 3 coherent QPI links and the system is arranged as a glueless 8-socket twisted ladder "mobius" topology. Nodes are either 1 or 2 hops distant over the QPI links. As an aside the mapping of logical CPUIDs to physical resources is rather interesting on Solaris/x4800. On SPARC/Solaris the CPUID layout is strictly geographic, with the highest order bits identifying the socket, the next lower bits identifying the core within that socket, following by the pipeline (if present) and finally the logical thread context ("strand") on the core. But on Solaris on the x4800 the CPUID layout is as follows. [6:6] identifies the hyperthread on a core; bits [5:3] identify the socket, or package in Intel terminology; bits [2:0] identify the core within a socket. Such low-level details should be of interest only if you're binding threads -- a bad idea, the kernel typically handles placement best -- or if you're writing NUMA-aware code that's aware of the ambient placement and makes decisions accordingly. Solaris introduced the so-called critical-threads mechanism, which is expressed by putting a thread into the FX scheduling class at priority 60. The critical-threads mechanism applies to placement on cores, not on sockets, however. That is, it's an intra-socket policy, not an inter-socket policy. Solaris 11 introduces the Power Aware Dispatcher (PAD) which packs threads instead of spreading them out in an attempt to be able to keep sockets or cores at lower power levels. Maximum dispersal may be good for performance but is anathema to power management. PAD is off by default, but power management polices constitute yet another confounding factor with respect to scheduling and dispatching. If your threads communicate heavily -- one thread reads cache lines last written by some other thread -- then the new dense packing policy may improve performance by reducing traffic on the coherent interconnect. On the other hand if your threads in your process communicate rarely, then it's possible the new packing policy might result on contention on shared computing resources. Unfortunately there's no simple litmus test that says whether packing or spreading is optimal in a given situation. The answer varies by system load, application, number of threads, and platform hardware characteristics. Currently we don't have the necessary tools and sensoria to decide at runtime, so we're reduced to an empirical approach where we run trials and try to decide on a placement policy. The situation is quite frustrating. Relatedly, it's often hard to determine just the right level of concurrency to optimize throughput. (Understanding constructive vs destructive interference in the shared caches would be a good start. We could augment the lines with a small tag field indicating which strand last installed or accessed a line. Given that, we could augment the CPU with performance counters for misses where a thread evicts a line it installed vs misses where a thread displaces a line installed by some other thread.)

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  • The Growing Importance of Network Virtualization

    - by user12608550
    The Growing Importance of Network Virtualization We often focus on server virtualization when we discuss cloud computing, but just as often we neglect to consider some of the critical implications of that technology. The ability to create virtual environments (or VEs [1]) means that we can create, destroy, activate and deactivate, and more importantly, MOVE them around within the cloud infrastructure. This elasticity and mobility has profound implications for how network services are defined, managed, and used to provide cloud services. It's not just servers that benefit from virtualization, it's the network as well. Network virtualization is becoming a hot topic, and not just for discussion but for companies like Oracle and others who have recently acquired net virtualization companies [2,3]. But even before this topic became so prominent, Solaris engineers were working on technologies in Solaris 11 to virtualize network services, known as Project Crossbow [4]. And why is network virtualization so important? Because old assumptions about network devices, topology, and management must be re-examined in light of the self-service, elasticity, and resource sharing requirements of cloud computing infrastructures. Static, hierarchical network designs, and inter-system traffic flows, need to be reconsidered and quite likely re-architected to take advantage of new features like virtual NICs and switches, bandwidth control, load balancing, and traffic isolation. For example, traditional multi-tier Web services (Web server, App server, DB server) that share net traffic over Ethernet wires can now be virtualized and hosted on shared-resource systems that communicate within a larger server at system bus speeds, increasing performance and reducing wired network traffic. And virtualized traffic flows can be monitored and adjusted as needed to optimize network performance for dynamically changing cloud workloads. Additionally, as VEs come and go and move around in the cloud, static network configuration methods cannot easily accommodate the routing and addressing flexibility that VE mobility implies; virtualizing the network itself is a requirement. Oracle Solaris 11 [5] includes key network virtualization technologies needed to implement cloud computing infrastructures. It includes features for the creation and management of virtual NICs and switches, and for the allocation and control of the traffic flows among VEs [6]. Additionally it allows for both sharing and dedication of hardware components to network tasks, such as allocating specific CPUs and vNICs to VEs, and even protocol-specific management of traffic. So, have a look at your current network topology and management practices in view of evolving cloud computing technologies. And don't simply duplicate the physical architecture of servers and connections in a virtualized environment…rethink the traffic flows among VEs and how they can be optimized using Oracle Solaris 11 and other Oracle products and services. [1] I use the term "virtual environment" or VE here instead of the more commonly used "virtual machine" or VM, because not all virtualized operating system environments are full OS kernels under the control of a hypervisor…in other words, not all VEs are VMs. In particular, VEs include Oracle Solaris zones, as well as SPARC VMs (previously called LDoms), and x86-based Solaris and Linux VMs running under hypervisors such as OEL, Xen, KVM, or VMware. [2] Oracle follows VMware into network virtualization space with Xsigo purchase; http://www.mercurynews.com/business/ci_21191001/oracle-follows-vmware-into-network-virtualization-space-xsigo [3] Oracle Buys Xsigo; http://www.oracle.com/us/corporate/press/1721421 [4] Oracle Solaris 11 Networking Virtualization Technology, http://www.oracle.com/technetwork/server-storage/solaris11/technologies/networkvirtualization-312278.html [5] Oracle Solaris 11; http://www.oracle.com/us/products/servers-storage/solaris/solaris11/overview/index.html [6] For example, the Solaris 11 'dladm' command can be used to limit the bandwidth of a virtual NIC, as follows: dladm create-vnic -l net0 -p maxbw=100M vnic0

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  • How to make gcc on SUN calculate floating points the same way as in Linux

    - by Marina
    I have a project where I have to perform some mathematics calculations with double variables. The problem is that I get different results on SUN Solaris 9 and Linux. There are a lot of ways (explained here and other forums) how to make Linux work as Sun, but not the other way around. I cannot touch the Linux code, so it is only SUN I can change. Is there any way to make SUN to behave as Linux? The code I run(compile with gcc on both systems): int hash_func(char *long_id) { double product, lnum, gold; while (*long_id) lnum = lnum * 10.0 + (*long_id++ - '0'); printf("lnum => %20.20f\n", lnum); lnum = lnum * 10.0E-8; printf("lnum => %20.20f\n", lnum); gold = 0.6125423371582974; product = lnum * gold; printf("product => %20.20f\n", product); ... } if the input is 339886769243483 the output in Linux: lnum => 339886769243**483**.00000000000000000000 lnum => 33988676.9243**4829473495483398** product => 20819503.600158**59827399253845** When on SUN: lnum => 339886769243483.00000000000000000000 lnum => 33988676.92434830218553543091 product = 20819503.600158**60199928283691** Note: The result is not always different, moreover most of the times it is the same. Just 10 15-digit numbers out of 60000 have this problem. Please help!!!

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  • How can I measure my (SAMP) server's bandwidth usage?

    - by enkrates
    I'm running a Solaris server to serve PHP through Apache. What tools can I use to measure the bandwidth my server is currently using? I use Google analytics to measure traffic, but as far as I know, it ignores file size. I have a rough idea of the average size of the pages I serve, and can do a back-of-the-envelope calculation of my bandwidth usage by multiplying page views (from Google) by average page size, but I'm looking for a solution that is more rigorous and exact. Also, I'm not trying to throttle anything, or implement usage caps or anything like that. I'd just like to measure the bandwidth usage, so I know what it is. An example of what I'm after is the usage meter that Slicehost provides in their admin website for their users. They tell me (for another site I run) how much bandwidth I've used each month and also divide the usage for uploading and downloading. So, it seems like this data can be measured, and I'd like to be able to do it myself. To put it simply, what is the conventional method for measuring the bandwidth usage of my server?

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  • Coolstack MySQL Crash Unable to Restart

    - by rayblasdel
    Environment: Solaris 10 This mysql server has been up and running for 6 months now. Today all of a sudden it crashed. When typing 'mysql' as user it gives the error MYSQL" Error 2002 (HY000): Can't Connect to Local MySQL server though socket '/tmp/mysql.sock' The server try to open mysql, it stays open for 9-10 seconds and restarts the process. Below are the application logs. Application-database-mysql_mysql-csk.log [ May 30 22:37:52 Enabled. ] [ May 30 22:37:58 Rereading configuration. ] [ May 30 22:37:59 Executing start method ("/opt/coolstack/lib/svc/method/svc-cskmysql start") ] /opt/coolstack/mysql/bin/mysqld_safe --user=mysql --datadir=/dbpool1/data --pid-file=/dbpool1/data/database.soliaonline.com.pid [ May 30 22:37:59 Method "start" exited with status 0 ] [ May 30 22:38:13 Stopping because all processes in service exited. ] [ May 30 22:38:13 Executing stop method ("/opt/coolstack/lib/svc/method/svc-cskmysql stop") ] [ May 30 22:38:13 Method "stop" exited with status 0 ] [ May 30 22:38:13 Executing start method ("/opt/coolstack/lib/svc/method/svc-cskmysql start") ] /opt/coolstack/mysql/bin/mysqld_safe --user=mysql --datadir=/dbpool1/data --pid-file=/dbpool1/data/database.soliaonline.com.pid [ May 30 22:38:13 Method "start" exited with status 0 ] [ May 30 22:38:25 Stopping because all processes in service exited. ] [ May 30 22:38:25 Executing stop method ("/opt/coolstack/lib/svc/method/svc-cskmysql stop") ] [ May 30 22:38:25 Method "stop" exited with status 0 ] I am hoping someone might have run into this before and might know how to fix it. The following is an excerpt from the MySQL Error log 100530 22:44:03 mysqld_safe mysqld from pid file /dbpool1/data/database.soliaonline.com.pid ended 100530 22:44:04 mysqld_safe Starting mysqld daemon with databases from /dbpool1/data InnoDB: Log scan progressed past the checkpoint lsn 32 727170612 100530 22:44:13 InnoDB: Database was not shut down normally! InnoDB: Starting crash recovery. InnoDB: Reading tablespace information from the .ibd files... InnoDB: Restoring possible half-written data pages from the doublewrite InnoDB: buffer... InnoDB: Doing recovery: scanned up to log sequence number 32 727200901 100530 22:44:14 InnoDB: Starting an apply batch of log records to the database... InnoDB: Progress in percents: 100530 22:44:14 - mysqld got signal 11 ; This could be because you hit a bug. It is also possible that this binary or one of the libraries it was linked against is corrupt, improperly built, or misconfigured. This error can also be caused by malfunctioning hardware. We will try our best to scrape up some info that will hopefully help diagnose the problem, but since we have already crashed, something is definitely wrong and this may fail. key_buffer_size=209715200 read_buffer_size=1048576 max_used_connections=0 max_threads=10000 threads_connected=0 It is possible that mysqld could use up to key_buffer_size + (read_buffer_size + sort_buffer_size)*max_threads = 31024253 K bytes of memory Hope that's ok; if not, decrease some variables in the equation. enter code here

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  • Reaping the Benefits of the Image Packaging System

    - by rickramsey
    source One of the promises made about Oracle Solaris 11 was easier installation. Remember? Do you also remember how involved installing Oracle Solaris Cluster used to be? It was so involved, in fact, that we (when we were Sun Microsystems) wouldn't even let you do it yourself. How times have changed. New - How to Automate The Installation of Oracle Solaris Cluster 4.0 Thanks to the new image packaging architecture in Oracle Solaris 11, you can now automate the installation of Oracle Solaris Cluster 4.0. Why is that such a big deal? As Lucia Lai explains it: "Without the AI, you would have to manually install the cluster components on the cluster nodes, and then run the scinstall tool to add the nodes to the cluster. If, instead, you use the AI, both the Oracle Solaris 11 and the Oracle Solaris Cluster 4.0 packages are installed onto the cluster nodes directly from Image Packaging System (IPS) repositories, and the nodes are booted into a new cluster with minimum user intervention." Lucia goes on to explain how to set up and configure the AI server, how to plan your cluster configuration for the automated installation, how to use the scinstall utility, how to set up the DHCP server, and more. A thorough, well-written article. - Rick Website Newsletter Facebook Twitter

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  • Fusion Middleware 11gR1 : 2012?4??????

    - by Hiro
    2012 ?4? (2012/04/17 ??)?Fusion Middleware 11gR1 ?????????????? ? ????????????4??????? 1. Oracle JDK??????Oracle JDK???????Oracle JRE/JDK 6 Update 31, Oracle JRE/JDK 7 Update 3 ??????? ???????????????Linux x86, Linux x86-64, Solaris (SPARC), Solaris x86-64, Windows (32-bit), Windows x64 ?????? 2. Oracle JRockit??????Oracle JRockit???????Oracle JRockit R28.2.2 ??????? ???????????????Linux x86, Linux x86-64, Solaris (SPARC), Windows (32-bit), Windows x64 ?????? 3. Oracle GlassFish ServerOracle GlassFish Server 3.1.2 ??????? ? ??????????????AIX, Linux x86, Linux x86-64, Solaris (SPARC), Solaris x86-64, Windows (32-bit), Windows x64, Other Platforms ?????? 4. Oracle Fusion Middleware 11.1.1.6.0?11.1.1.6.0?(Oracle WebLogic Server 10.3.6 ?????)?????????????????????AIX, Linux x86, Linux x86-64, Solaris (SPARC), Solaris x86-64, Windows (32-bit), Windows x64, Other Platforms ?????? ???????????????????????????????? Oracle Business Process Analysis Suite 11g (11.1.1.4.0) Oracle Directory Server Enterprise Edition 11g (11.1.1.5.0) Oracle Identity and Access Management 11g (11.1.1.5.0) OAM, OAAM, OIM ?? Oracle Identity Analytics 11g (11.1.1.5.0) Oracle Unified Directory 11g (11.1.1.5.0) Oracle Tuxedo 11g (11.1.1.2.0) or 11g (11.1.1.3.0) ?????Sun, ?FatWire??????? ???????????????11.1.1.6.0???????????????????????Oracle Fusion Middleware ?????????????????ReadMe 11g Release 1 (11.1.1.6.0)????????????Fixed Bug List????????????Note#1364511.1 ?????????? (Note????????????????????) ? ??????????????

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  • CURL - HTTPS Wierd error

    - by Vincent
    All, I am having trouble requesting info from HTTPS site using CURL and PHP. I am using Solaris 10. It so happens that sometimes it works and sometimes it doesn't. I am not sure what is the cause. If it doesn't work, this is the entry recorded in the verbose log: * About to connect() to 10.10.101.12 port 443 (#0) * Trying 10.10.101.12... * connected * Connected to 10.10.101.12 (10.10.101.12) port 443 (#0) * error setting certificate verify locations, continuing anyway: * CAfile: /etc/opt/webstack/curl/curlCA CApath: none * error:80089077:lib(128):func(137):reason(119) * Closing connection #0 If it works, this is the entry recorded in the verbose log: * About to connect() to 10.10.101.12 port 443 (#0) * Trying 10.10.101.12... * connected * Connected to 10.10.101.12 (10.10.101.12) port 443 (#0) * error setting certificate verify locations, continuing anyway: * CAfile: /etc/opt/webstack/curl/curlCA CApath: none * SSL connection using DHE-RSA-AES256-SHA * Server certificate: * subject: C=CA, ST=British Columnbia, L=Vancouver, O=google, OU=FDN, CN=g.googlenet.com, [email protected] * start date: 2007-07-24 23:06:32 GMT * expire date: 2027-09-07 23:06:32 GMT * issuer: C=US, ST=California, L=Sunnyvale, O=Google, OU=Certificate Authority, CN=support, [email protected] * SSL certificate verify result: unable to get local issuer certificate (20), continuing anyway. > POST /gportal/gpmgr HTTP/1.1^M Host: 10.10.101.12^M Accept: */*^M Accept-Encoding: gzip,deflate^M Content-Length: 1623^M Content-Type: application/x-www-form-urlencoded^M Expect: 100-continue^M ^M < HTTP/1.1 100 Continue^M < HTTP/1.1 200 OK^M < Date: Wed, 28 Apr 2010 21:56:15 GMT^M < Server: Apache^M < Cache-Control: no-cache^M < Pragma: no-cache^M < Vary: Accept-Encoding^M < Content-Encoding: gzip^M < Content-Length: 1453^M < Content-Type: application/json^M < ^M * Connection #0 to host 10.10.101.12 left intact * Closing connection #0 My CURL options are as under: $ch = curl_init(); $devnull = fopen('/tmp/curlcookie.txt', 'w'); $fp_err = fopen('/tmp/verbose_file.txt', 'ab+'); fwrite($fp_err, date('Y-m-d H:i:s')."\n\n"); curl_setopt($ch, CURLOPT_STDERR, $devnull); curl_setopt($ch, CURLOPT_POST, 1); curl_setopt($ch, CURLOPT_URL, $desturl); curl_setopt($ch, CURLOPT_RETURNTRANSFER, 1); curl_setopt($ch, CURLOPT_SSL_VERIFYPEER, false); curl_setopt($ch, CURLOPT_SSL_VERIFYHOST, false); curl_setopt($ch, CURLOPT_HEADER, false); curl_setopt($ch, CURLOPT_FOLLOWLOCATION, 0); curl_setopt($ch, CURLOPT_CONNECTTIMEOUT,120); curl_setopt($ch, CURLOPT_AUTOREFERER, true); curl_setopt($ch, CURLOPT_ENCODING, 'gzip,deflate'); curl_setopt($ch, CURLOPT_POSTFIELDS, $postdata); curl_setopt($ch, CURLOPT_VERBOSE,1); curl_setopt($ch, CURLOPT_FAILONERROR, true); curl_setopt($ch, CURLOPT_STDERR, $fp_err); $ret = curl_exec($ch); Anybody has any idea, why it works sometimes but fails mostly? Thanks

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  • How can i call method from class but this method implemented from any interface?

    - by Phsika
    i try to call base.Alan(); in HacimBul. But base. dont give intellisense alan method public double HacimBul() { throw new Exception(); //return base..... -- how can i see base.Alan(); } namespace interfaceClass { class Program { static void Main(string[] args) { } } interface Ikenar { double kenar { get; set; } } interface Iyukseklik { double yuksekli {get; set;} } interface IAlan { double Alan(); } interface IHacim { double Hacim(); } class Alan : Ikenar, IAlan { public double kenar { get; set; } double IAlan.Alan() { return kenar * kenar; } } class Hacim : Alan, Iyukseklik { public double kenar { get; set; } public double yuksekli { get; set; } public double HacimBul() { throw new Exception(); //return base..... -- how can i see base.Alan(); } } }

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  • How can i call method from class but this method implamented from any interface?

    - by Phsika
    i try to call base.Alan(); in HacimBul. But base. dont give intellisense alan method public double HacimBul() { throw new Exception(); //return base..... -- how can i see base.Alan(); } namespace interfaceClass { class Program { static void Main(string[] args) { } } interface Ikenar { double kenar { get; set; } } interface Iyukseklik { double yuksekli {get; set;} } interface IAlan { double Alan(); } interface IHacim { double Hacim(); } class Alan : Ikenar, IAlan { public double kenar { get; set; } double IAlan.Alan() { return kenar * kenar; } } class Hacim : Alan, Iyukseklik { public double kenar { get; set; } public double yuksekli { get; set; } public double HacimBul() { throw new Exception(); //return base..... -- how can i see base.Alan(); } } }

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  • Apache lance Traffic Server 3.0 et booste davantage les performances de son serveur Proxy qui arrive sur Mac OS X, Solaris et FreeBSD

    Apache lance Traffic Server 3.0 et booste davantage les performances De son serveur Proxy qui arrive sur Mac OS X, Solaris et FreeBSD Une nouvelle version du serveur Apache Traffic vient de voir le jour, pouvant gérer jusqu'à 220.000 requêtes par seconde, soit un gain de performances considérable de 277 % par rapport à la version 2.0. Apache Traffic Server 3.0 est la première version majeure depuis que le projet a quitté le programme d'incubation, et devenu une priorité de la fondation Apache après lui avoir été cédé par Yahoo! fin 2009. Traffic Server est destiné à gérer les requêtes Web sortantes et entrantes en délivrant directement les contenus statiques (images...

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  • For business information and web traffic T4 and Solaris 11 stand head and shoulders above the crowd

    - by rituchhibber
    Everyone is talking about encryption of business information and web traffic. T4 and Solaris 11 stand head and shoulders above the crowd. Each T4 chip has 8 crypto accelerators inside the chip - that means there are 32 in a T4-4.  These are faster and offer more algorithms than almost all standalone devices and it is all free with T4!  What are you waiting for?Please contact Lucy Hillman or Graham Scattergood for more details.Your weekly tea time soundbite of the latest UK news, updates and initiatives on the SPARC T Series servers. T4 good news, best practice and feedback is always welcome.

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  • SPARC T3-1 Record Results Running JD Edwards EnterpriseOne Day in the Life Benchmark with Added Batch Component

    - by Brian
    Using Oracle's SPARC T3-1 server for the application tier and Oracle's SPARC Enterprise M3000 server for the database tier, a world record result was produced running the Oracle's JD Edwards EnterpriseOne applications Day in the Life benchmark run concurrently with a batch workload. The SPARC T3-1 server based result has 25% better performance than the IBM Power 750 POWER7 server even though the IBM result did not include running a batch component. The SPARC T3-1 server based result has 25% better space/performance than the IBM Power 750 POWER7 server as measured by the online component. The SPARC T3-1 server based result is 5x faster than the x86-based IBM x3650 M2 server system when executing the online component of the JD Edwards EnterpriseOne 9.0.1 Day in the Life benchmark. The IBM result did not include a batch component. The SPARC T3-1 server based result has 2.5x better space/performance than the x86-based IBM x3650 M2 server as measured by the online component. The combination of SPARC T3-1 and SPARC Enterprise M3000 servers delivered a Day in the Life benchmark result of 5000 online users with 0.875 seconds of average transaction response time running concurrently with 19 Universal Batch Engine (UBE) processes at 10 UBEs/minute. The solution exercises various JD Edwards EnterpriseOne applications while running Oracle WebLogic Server 11g Release 1 and Oracle Web Tier Utilities 11g HTTP server in Oracle Solaris Containers, together with the Oracle Database 11g Release 2. The SPARC T3-1 server showed that it could handle the additional workload of batch processing while maintaining the same number of online users for the JD Edwards EnterpriseOne Day in the Life benchmark. This was accomplished with minimal loss in response time. JD Edwards EnterpriseOne 9.0.1 takes advantage of the large number of compute threads available in the SPARC T3-1 server at the application tier and achieves excellent response times. The SPARC T3-1 server consolidates the application/web tier of the JD Edwards EnterpriseOne 9.0.1 application using Oracle Solaris Containers. Containers provide flexibility, easier maintenance and better CPU utilization of the server leaving processing capacity for additional growth. A number of Oracle advanced technology and features were used to obtain this result: Oracle Solaris 10, Oracle Solaris Containers, Oracle Java Hotspot Server VM, Oracle WebLogic Server 11g Release 1, Oracle Web Tier Utilities 11g, Oracle Database 11g Release 2, the SPARC T3 and SPARC64 VII+ based servers. This is the first published result running both online and batch workload concurrently on the JD Enterprise Application server. No published results are available from IBM running the online component together with a batch workload. The 9.0.1 version of the benchmark saw some minor performance improvements relative to 9.0. When comparing between 9.0.1 and 9.0 results, the reader should take this into account when the difference between results is small. Performance Landscape JD Edwards EnterpriseOne Day in the Life Benchmark Online with Batch Workload This is the first publication on the Day in the Life benchmark run concurrently with batch jobs. The batch workload was provided by Oracle's Universal Batch Engine. System RackUnits Online Users Resp Time (sec) BatchConcur(# of UBEs) BatchRate(UBEs/m) Version SPARC T3-1, 1xSPARC T3 (1.65 GHz), Solaris 10 M3000, 1xSPARC64 VII+ (2.86 GHz), Solaris 10 4 5000 0.88 19 10 9.0.1 Resp Time (sec) — Response time of online jobs reported in seconds Batch Concur (# of UBEs) — Batch concurrency presented in the number of UBEs Batch Rate (UBEs/m) — Batch transaction rate in UBEs/minute. JD Edwards EnterpriseOne Day in the Life Benchmark Online Workload Only These results are for the Day in the Life benchmark. They are run without any batch workload. System RackUnits Online Users ResponseTime (sec) Version SPARC T3-1, 1xSPARC T3 (1.65 GHz), Solaris 10 M3000, 1xSPARC64 VII (2.75 GHz), Solaris 10 4 5000 0.52 9.0.1 IBM Power 750, 1xPOWER7 (3.55 GHz), IBM i7.1 4 4000 0.61 9.0 IBM x3650M2, 2xIntel X5570 (2.93 GHz), OVM 2 1000 0.29 9.0 IBM result from http://www-03.ibm.com/systems/i/advantages/oracle/, IBM used WebSphere Configuration Summary Hardware Configuration: 1 x SPARC T3-1 server 1 x 1.65 GHz SPARC T3 128 GB memory 16 x 300 GB 10000 RPM SAS 1 x Sun Flash Accelerator F20 PCIe Card, 92 GB 1 x 10 GbE NIC 1 x SPARC Enterprise M3000 server 1 x 2.86 SPARC64 VII+ 64 GB memory 1 x 10 GbE NIC 2 x StorageTek 2540 + 2501 Software Configuration: JD Edwards EnterpriseOne 9.0.1 with Tools 8.98.3.3 Oracle Database 11g Release 2 Oracle 11g WebLogic server 11g Release 1 version 10.3.2 Oracle Web Tier Utilities 11g Oracle Solaris 10 9/10 Mercury LoadRunner 9.10 with Oracle Day in the Life kit for JD Edwards EnterpriseOne 9.0.1 Oracle’s Universal Batch Engine - Short UBEs and Long UBEs Benchmark Description JD Edwards EnterpriseOne is an integrated applications suite of Enterprise Resource Planning (ERP) software. Oracle offers 70 JD Edwards EnterpriseOne application modules to support a diverse set of business operations. Oracle's Day in the Life (DIL) kit is a suite of scripts that exercises most common transactions of JD Edwards EnterpriseOne applications, including business processes such as payroll, sales order, purchase order, work order, and other manufacturing processes, such as ship confirmation. These are labeled by industry acronyms such as SCM, CRM, HCM, SRM and FMS. The kit's scripts execute transactions typical of a mid-sized manufacturing company. The workload consists of online transactions and the UBE workload of 15 short and 4 long UBEs. LoadRunner runs the DIL workload, collects the user’s transactions response times and reports the key metric of Combined Weighted Average Transaction Response time. The UBE processes workload runs from the JD Enterprise Application server. Oracle's UBE processes come as three flavors: Short UBEs < 1 minute engage in Business Report and Summary Analysis, Mid UBEs > 1 minute create a large report of Account, Balance, and Full Address, Long UBEs > 2 minutes simulate Payroll, Sales Order, night only jobs. The UBE workload generates large numbers of PDF files reports and log files. The UBE Queues are categorized as the QBATCHD, a single threaded queue for large UBEs, and the QPROCESS queue for short UBEs run concurrently. One of the Oracle Solaris Containers ran 4 Long UBEs, while another Container ran 15 short UBEs concurrently. The mixed size UBEs ran concurrently from the SPARC T3-1 server with the 5000 online users driven by the LoadRunner. Oracle’s UBE process performance metric is Number of Maximum Concurrent UBE processes at transaction rate, UBEs/minute. Key Points and Best Practices Two JD Edwards EnterpriseOne Application Servers and two Oracle Fusion Middleware WebLogic Servers 11g R1 coupled with two Oracle Fusion Middleware 11g Web Tier HTTP Server instances on the SPARC T3-1 server were hosted in four separate Oracle Solaris Containers to demonstrate consolidation of multiple application and web servers. See Also SPARC T3-1 oracle.com SPARC Enterprise M3000 oracle.com Oracle Solaris oracle.com JD Edwards EnterpriseOne oracle.com Oracle Database 11g Release 2 Enterprise Edition oracle.com Disclosure Statement Copyright 2011, Oracle and/or its affiliates. All rights reserved. Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners. Results as of 6/27/2011.

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  • World Record Oracle E-Business Consolidated Workload on SPARC T4-2

    - by Brian
    Oracle set a World Record for the Oracle E-Business Suite Standard Medium multiple-online module benchmark using Oracle's SPARC T4-2 and SPARC T4-4 servers which ran the application and database. Oracle's SPARC T4 servers demonstrate performance leadership and world-record results on Oracle E-Business Suite Applications R12 OLTP benchmark by publishing the first result using multiple concurrent online application modules with Oracle Database 11g Release 2 running Solaris.   This results shows that a multi-tier configuration of SPARC T4 servers running the Oracle E-Business Suite R12.1.2 application and Oracle Database 11g Release 2 is capable of supporting 4,100 online users with outstanding response-times, executing a mix of complex transactions consolidating 4 Oracle E-Business modules (iProcurement, Order Management, Customer Service and HR Self-Service).   The SPARC T4-2 server in the application tier utilized about 65% and the SPARC T4-4 server in the database tier utilized about 30%, providing significant headroom for additional Oracle E-Business Suite R12.1.2 processing modules, more online users, and future growth.   Oracle E-Business Suite Applications were run in Oracle Solaris Containers on SPARC T4 servers and provides a consolidation platform for multiple E-Business instances.   Performance Landscape Multiple Online Modules (Self-Service, Order-Management, iProcurement, Customer-Service) Medium Configuration System Users AverageResponse Time 90th PercentileResponse Time SPARC T4-2 4,100 2.08 sec 2.52 sec Configuration Summary Application Tier Configuration: 1 x SPARC T4-2 server 2 x SPARC T4 processors, 2.85 GHz 256 GB memory 3 x 300 GB internal disks Oracle Solaris 10 Oracle E-Business Suite 12.1.2 Database Tier Configuration: 1 x SPARC T4-4 server 4 x SPARC T4 processors, 3.0 GHz 256 GB memory 2 x 300 GB internal disks Oracle Solaris 10 Oracle Solaris Containers Oracle Database 11g Release 2 Storage Configuration: 1 x Sun Storage F5100 Flash Array (80 x 24 GB flash modules) Benchmark Description The Oracle R12 E-Business Suite Standard Benchmark combines online transaction execution by simulated users with multiple online concurrent modules to model a typical scenario for a global enterprise. The online component exercises the common UI flows which are most frequently used by a majority of our customers. This benchmark utilized four concurrent flows of OLTP transactions, for Order to Cash, iProcurement, Customer Service and HR Self-Service and measured the response times. The selected flows model simultaneous business activities inclusive of managing customers, services, products and employees. See Also Oracle R12 E-Business Suite Standard Benchmark Results Oracle R12 E-Business Suite Standard Benchmark Overview Oracle R12 E-Business Benchmark Description E-Business Suite Applications R2 (R12.1.2) Online Benchmark - Using Oracle Database 11g on Oracle's SPARC T4-2 and Oracle's SPARC T4-4 Servers oracle.com SPARC T4-2 Server oracle.com OTN SPARC T4-4 Server oracle.com OTN Oracle E-Business Suite oracle.com OTN Oracle Solaris oracle.com OTN Oracle Database 11g Release 2 Enterprise Edition oracle.com OTN Disclosure Statement Oracle E-Business Suite R12 medium multiple-online module benchmark, SPARC T4-2, SPARC T4, 2.85 GHz, 2 chips, 16 cores, 128 threads, 256 GB memory, SPARC T4-4, SPARC T4, 3.0 GHz, 4 chips, 32 cores, 256 threads, 256 GB memory, average response time 2.08 sec, 90th percentile response time 2.52 sec, Oracle Solaris 10, Oracle Solaris Containers, Oracle E-Business Suite 12.1.2, Oracle Database 11g Release 2, Results as of 9/30/2012.

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  • CVE-2011-4313 Denial of Service Vulnerability in BIND Domain Name Server

    - by chandan
    CVE DescriptionCVSSv2 Base ScoreComponentProduct and Resolution CVE-2011-4313 Denial of Service vulnerability 5 BIND DNS software Solaris 11 Contact support Solaris 10 SPARC: IDR148282-01 X86: IDR148283-01 Solaris 8 SPARC: IDR148278-01 X86: IDR148279-01 Solaris 9 SPARC: IDR148280-01 X86: IDR148281-01 This notification describes vulnerabilities fixed in third-party components that are included in Sun's product distribution.Information about vulnerabilities affecting Oracle Sun products can be found on Oracle Critical Patch Updates and Security Alerts page.

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