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Fusion Middleware 11gR1 : 6??????

- by Hiroyuki Yoshino

2010?6??Fusion Middleware 11gR1 ?????????????? ?????????????3??????? 1. Oracle Enterprise Single Sign-On ?????Microsoft Windows (32-bit), Microsoft Windows x64 ???????????????? 10g?????????????????????????????????????Logon Manager?64-bit???????????? ????·????????????????????????·????????Non Oracle LDAP Certification?????????????? 2. Oracle Tuxedo Oracle Tuxedo 11g???????????? 10g???Oracle Tuxedo System and Application Monitor (TSAM), Oracle Service Architecture Leveraging Tuxedo (SALT)??????????? ??????AIX on Power Systems, HP-UX Itanium, Linux x86, Linux x86-64, Microsoft Windows (32-bit), Microsoft Windows x64, Solaris SPARC (64-bit), Other Platforms ?????????????????????????????????? ????·?????????????????Oracle Tuxedo ? Platform Data Sheets, TSAM ? Supported Platforms, SALT ? Supported Platforms ?????????? 3. Application Adapters ???Mainframe Adapters, CDC Adapters????Application Adapters?11g????????????? JD Edwards, PeopleSoft, SAP, Siebel ??????????????????? ??????AIX on Power Systems, HP-UX Itanium, HP-UX PA-RISC, Linux x86, Linux x86-64, Microsoft Windows (32-bit), Microsoft Windows x64, Solaris SPARC (64-bit) ??????????????? ??????(??????????????????)????????·????????Adapter Certification?????????????? ????? ????????(Media Pack)??????????????(Media Pack)????????????????? (2010?6??????????????????????)

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Java EE 6???????????WebLogic Server 12c????

- by ???02

Java EE 6?Java SE 7?????????200??????????/???????WebLogic Server 12c??????????????????????????????????????????????????????????????? ?????2??????WebLogic Server 12c???/??????????????????????????????????????????????????????????(???) Eclipse?NetBeans?JDeveloper????IDE?????????? WebLogic Server 12c????????????????????????? Fusion Middleware?????? ????????? Cloud Application Foundation???????? ???????????????????? WebLogic Server 12c????????????????????????/??????????????POJO???????·??????????XML???????????Java EE 6???????????????????WebLogic Server 12c??????????????????????????????? 1????????????????????????????????????????????????NetBeans IDE???Eclipse???Oracle Enterprise Pack for Eclipse 12c????????????Oracle JDeveloper??IDE???????????(JDeveloper???Java EE 6?????)? ???Oracle Enterprise Pack for Eclipse 12c??????????Eclipse????????????Eclipse????????Java EE 6???????????????????????????????Java SE 7????????????????????????Eclipse????WebLogic Server 12c??????Java EE?????????????????? JRockit Mission Control?Eclipse??????? WebLogic Server????????????????????????/??????Oracle JRockit Mission Control (JRMC) 4.1?????????????WebLogic Server 12c????????JRMC???????????????OutOfMemory????????????????????????????????????????????????????????????????????????4.1??????Mac OS X?Solaris?????HotSpot/Solaris?DTrace???????????????????????????????? ????WebLogic Server 12c?????JRMC ?Eclipse??????????????????Eclipse??JRMC????????????????????????????Eclipse?????????????????????????????????????????????????? Maven??????????????????? ????????????????????Apache Maven????????????????????????????????Maven??????????????????????????????????????????????????????????????????????? WebLogic Server???????Maven???????????????WebLogic Server???????????????????????????????????/??/??/?????????Maven??????????? ????????WebLogic Server 12c????????????ZIP????????????????WebLogic Server????????WebLogic????????WebLogic Server?????????/???????????????????????????Maven?????????????????????????????????????????????? ???168MB?ZIP??????????????????????????? ???????Maven???????????????????????????????????ZIP????????????????? ZIP?????????????????????WebLogic Server????????????????WebLogic Server ?????ZIP?????????????????????WebLogic Server?????????????????????????????????????????? ???WebLogic Server 12c??ZIP????????????????168MB??????????????????USB?????????????????????????????? ??ZIP????????????Maven??????????????????????????????????????????????????????????????Maven???????????????????????????????WebLogic Server??????????????????????Maven?????????????????ZIP????????????????????????????????????????? ????????????????????·????????? WebLogic Server 12c???????????????????????????????????????????????????????????·?????????(CAT:Classloader Analysis Tool)?????????? ???Java EE?????Struts?Spring Framework????????????·?????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????? ??????????????????????CAT????CAT??????????????????????????WebLogic Server????????????????????????????????????/??????????????????????/??????????????????????????????????CAT? “?????”?????????WebLogic Server?????????????? ??????WebLogic Server 12c?????????????????????????????????Java EE???????????????????????????????????????????WebLogic Server 12c???/???????????????????

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???????????????????Specialization?????????

- by mamoru.kobayashi

???????????????????Oracle PartnerNetwork Specialized?? ??????????Specialization??6??????????????? ?????????????? ?????22????????40????Specialization????????? ¦??????????????? ·?????????? ?Oracle Data Warehousing? ?Oracle Exadata? ·?????????????? ?JD Edwards EnterpriseOne Financial Management? ?Primavera P6 Enterprise Project Portfolio Management? ·????????? ?Oracle Solaris? ?Oracle Linux? ????????2010?11?????????????Specialization?????? ??????????Specialization?????????????????????? ¦????????Specialization????????????????(????) ·?Oracle Data Warehousing?: ?????????????????????????????????? ·?Oracle Exadata?: ?????????????????????????????????? ·?JD Edwards EnterpriseOne Financial Management?: ?????????????????????????? ·?Primavera P6 Enterprise Project Portfolio Management?: IT???????????? ·?Oracle Solaris?: ???????????????????????????? ?????????????????????????????? ???? ????????????????????????? ?????????????? ·?Oracle Linux?: ?????????????????????????????????? ????????????????

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Slow NFS and GFS2 performance

- by Tiago

Recently I've designed and configured a 4 node cluster for a webapp that does lots of file handling. The cluster have been broken down into 2 main roles, webserver and storage. Each role is replicated to a second server using drbd in active/passive mode. The webserver does a NFS mount of the data directory of the storage server and the latter also has a webserver running to serve files to browser clients. In the storage servers I've created a GFS2 FS to hold the data which is wired to drbd. I've chose GFS2 mainly because the announced performance and also because the volume size which has to be pretty high. Since we entered production I've been facing two problems that I think are deeply connected. First of all, the NFS mount on the webservers keeps hanging for a minute or so and then resumes normal operations. By analyzing the logs I've found out that NFS stops answering for a while and outputs the following log lines: Oct 15 18:15:42 <server hostname> kernel: nfs: server active.storage.vlan not responding, still trying Oct 15 18:15:44 <server hostname> kernel: nfs: server active.storage.vlan not responding, still trying Oct 15 18:15:46 <server hostname> kernel: nfs: server active.storage.vlan not responding, still trying Oct 15 18:15:47 <server hostname> kernel: nfs: server active.storage.vlan not responding, still trying Oct 15 18:15:47 <server hostname> kernel: nfs: server active.storage.vlan not responding, still trying Oct 15 18:15:47 <server hostname> kernel: nfs: server active.storage.vlan not responding, still trying Oct 15 18:15:48 <server hostname> kernel: nfs: server active.storage.vlan not responding, still trying Oct 15 18:15:48 <server hostname> kernel: nfs: server active.storage.vlan not responding, still trying Oct 15 18:15:51 <server hostname> kernel: nfs: server active.storage.vlan not responding, still trying Oct 15 18:15:52 <server hostname> kernel: nfs: server active.storage.vlan not responding, still trying Oct 15 18:15:52 <server hostname> kernel: nfs: server active.storage.vlan not responding, still trying Oct 15 18:15:55 <server hostname> kernel: nfs: server active.storage.vlan not responding, still trying Oct 15 18:15:55 <server hostname> kernel: nfs: server active.storage.vlan not responding, still trying Oct 15 18:15:58 <server hostname> kernel: nfs: server active.storage.vlan OK Oct 15 18:15:59 <server hostname> kernel: nfs: server active.storage.vlan OK Oct 15 18:15:59 <server hostname> kernel: nfs: server active.storage.vlan OK Oct 15 18:15:59 <server hostname> kernel: nfs: server active.storage.vlan OK Oct 15 18:15:59 <server hostname> kernel: nfs: server active.storage.vlan OK Oct 15 18:15:59 <server hostname> kernel: nfs: server active.storage.vlan OK Oct 15 18:15:59 <server hostname> kernel: nfs: server active.storage.vlan OK Oct 15 18:15:59 <server hostname> kernel: nfs: server active.storage.vlan OK Oct 15 18:15:59 <server hostname> kernel: nfs: server active.storage.vlan OK Oct 15 18:15:59 <server hostname> kernel: nfs: server active.storage.vlan OK Oct 15 18:15:59 <server hostname> kernel: nfs: server active.storage.vlan OK Oct 15 18:15:59 <server hostname> kernel: nfs: server active.storage.vlan OK Oct 15 18:15:59 <server hostname> kernel: nfs: server active.storage.vlan OK In this case, the hang lasted for 16 seconds but sometimes it takes 1 or 2 minutes to resume normal operations. My first guess was this was happening due to heavy load of the NFS mount and that by increasing RPCNFSDCOUNT to a higher value, this would become stable. I've increased it several times and apparently, after a while, the logs started appearing less times. The value is now on 32. After further investigating the issue, I've came across a different hang, despite the NFS messages still appear in the logs. Sometimes, the GFS2 FS simply hangs which causes both the NFS and the storage webserver to serve files. Both stay hang for a while and then they resume normal operations. This hangs leaves no trace on client side (also leaves no NFS ... not responding messages) and, on the storage side, the log system appears to be empty, even though the rsyslogd is running. The nodes connect themselves through a 10Gbps non-dedicated connection but I don't think this is an issue because the GFS2 hang is confirmed but connecting directly to the active storage server. I've been trying to solve this for a while now and I've tried different NFS configuration options, before I've found out the GFS2 FS is also hanging. The NFS mount is exported as such: /srv/data/ <ip_address>(rw,async,no_root_squash,no_all_squash,fsid=25) And the NFS client mounts with: mount -o "async,hard,intr,wsize=8192,rsize=8192" active.storage.vlan:/srv/data /srv/data After some tests, these were the configurations that yielded more performance to the cluster. I am desperate to find a solution for this as the cluster is already in production mode and I need to fix this so that this hangs won't happen in the future and I don't really know for sure what and how I should be benchmarking. What I can tell is that this is happening due to heavy loads as I have tested the cluster earlier and this problems weren't happening at all. Please tell me if you need me to provide configuration details of the cluster, and which do you want me to post. As last resort I can migrate the files to a different FS but I need some solid pointers on whether this will solve this problems as the volume size is extremely large at this point. The servers are being hosted by a third-party enterprise and I don't have physical access to them. Best regards. EDIT 1: The servers are physical servers and their specs are: Webservers: Intel Bi Xeon E5606 2x4 2.13GHz 24GB DDR3 Intel SSD 320 2 x 120GB Raid 1 Storage: Intel i5 3550 3.3GHz 16GB DDR3 12 x 2TB SATA Initially there was a VRack setup between the servers but we've upgraded one of the storage servers to have more RAM and it wasn't inside the VRack. They connect through a shared 10Gbps connection between them. Please note that it is the same connection that is used for public access. They use a single IP (using IP Failover) to connect between them and to allow for a graceful failover. NFS is therefore over a public connection and not under any private network (it was before the upgrade, were the problem still existed). The firewall was configured and tested thoroughly but I disabled it for a while to see if the problem still occurred, and it did. From my knowledge the hosting provider isn't blocking or limiting the connection between either the servers and the public domain (at least under a given bandwidth consumption threshold that hasn't been reached yet). Hope this helps figuring out the problem. EDIT 2: Relevant software versions: CentOS 2.6.32-279.9.1.el6.x86_64 nfs-utils-1.2.3-26.el6.x86_64 nfs-utils-lib-1.1.5-4.el6.x86_64 gfs2-utils-3.0.12.1-32.el6_3.1.x86_64 kmod-drbd84-8.4.2-1.el6_3.elrepo.x86_64 drbd84-utils-8.4.2-1.el6.elrepo.x86_64 DRBD configuration on storage servers: #/etc/drbd.d/storage.res resource storage { protocol C; on <server1 fqdn> { device /dev/drbd0; disk /dev/vg_storage/LV_replicated; address <server1 ip>:7788; meta-disk internal; } on <server2 fqdn> { device /dev/drbd0; disk /dev/vg_storage/LV_replicated; address <server2 ip>:7788; meta-disk internal; } } NFS Configuration in storage servers: #/etc/sysconfig/nfs RPCNFSDCOUNT=32 STATD_PORT=10002 STATD_OUTGOING_PORT=10003 MOUNTD_PORT=10004 RQUOTAD_PORT=10005 LOCKD_UDPPORT=30001 LOCKD_TCPPORT=30001 (can there be any conflict in using the same port for both LOCKD_UDPPORT and LOCKD_TCPPORT?) GFS2 configuration: # gfs2_tool gettune <mountpoint> incore_log_blocks = 1024 log_flush_secs = 60 quota_warn_period = 10 quota_quantum = 60 max_readahead = 262144 complain_secs = 10 statfs_slow = 0 quota_simul_sync = 64 statfs_quantum = 30 quota_scale = 1.0000 (1, 1) new_files_jdata = 0 Storage network environment: eth0 Link encap:Ethernet HWaddr <mac address> inet addr:<ip address> Bcast:<bcast address> Mask:<ip mask> inet6 addr: <ip address> Scope:Link UP BROADCAST RUNNING MULTICAST MTU:1500 Metric:1 RX packets:957025127 errors:0 dropped:0 overruns:0 frame:0 TX packets:1473338731 errors:0 dropped:0 overruns:0 carrier:0 collisions:0 txqueuelen:1000 RX bytes:2630984979622 (2.3 TiB) TX bytes:1648430431523 (1.4 TiB) eth0:0 Link encap:Ethernet HWaddr <mac address> inet addr:<ip failover address> Bcast:<bcast address> Mask:<ip mask> UP BROADCAST RUNNING MULTICAST MTU:1500 Metric:1 The IP addresses are statically assigned with the given network configurations: DEVICE="eth0" BOOTPROTO="static" HWADDR=<mac address> ONBOOT="yes" TYPE="Ethernet" IPADDR=<ip address> NETMASK=<net mask> and DEVICE="eth0:0" BOOTPROTO="static" HWADDR=<mac address> IPADDR=<ip failover> NETMASK=<net mask> ONBOOT="yes" BROADCAST=<bcast address> Hosts file to allow for a graceful NFS failover in conjunction with NFS option fsid=25 set on both storage servers: #/etc/hosts <storage ip failover address> active.storage.vlan <webserver ip failover address> active.service.vlan As you can see, packet errors are down to 0. I've also ran ping for a long time without any packet loss. MTU size is the normal 1500. As there is no VLan by now, this is the MTU used to communicate between servers. The webservers' network environment is similar. One thing I forgot to mention is that the storage servers handle ~200GB of new files each day through the NFS connection, which is a key point for me to think this is some kind of heavy load problem with either NFS or GFS2. If you need further configuration details please tell me. EDIT 3: Earlier today we had a major filesystem crash on the storage server. I couldn't get the details of the crash right away because the server stop responding. After the reboot, I noticed the filesystem was extremely slow, and I was not being able to serve a single file through either NFS or httpd, perhaps due to cache warming or so. Nevertheless, I've been monitoring the server closely and the following error came up in dmesg. The source of the problem is clearly GFS, which is waiting for a lock and ends up starving after a while. INFO: task nfsd:3029 blocked for more than 120 seconds. "echo 0 > /proc/sys/kernel/hung_task_timeout_secs" disables this message. nfsd D 0000000000000000 0 3029 2 0x00000080 ffff8803814f79e0 0000000000000046 0000000000000000 ffffffff8109213f ffff880434c5e148 ffff880624508d88 ffff8803814f7960 ffffffffa037253f ffff8803815c1098 ffff8803814f7fd8 000000000000fb88 ffff8803815c1098 Call Trace: [<ffffffff8109213f>] ? wake_up_bit+0x2f/0x40 [<ffffffffa037253f>] ? gfs2_holder_wake+0x1f/0x30 [gfs2] [<ffffffff814ff42e>] __mutex_lock_slowpath+0x13e/0x180 [<ffffffff814ff2cb>] mutex_lock+0x2b/0x50 [<ffffffffa0379f21>] gfs2_log_reserve+0x51/0x190 [gfs2] [<ffffffffa0390da2>] gfs2_trans_begin+0x112/0x1d0 [gfs2] [<ffffffffa0369b05>] ? gfs2_dir_check+0x35/0xe0 [gfs2] [<ffffffffa0377943>] gfs2_createi+0x1a3/0xaa0 [gfs2] [<ffffffff8121aab1>] ? avc_has_perm+0x71/0x90 [<ffffffffa0383d1e>] gfs2_create+0x7e/0x1a0 [gfs2] [<ffffffffa037783f>] ? gfs2_createi+0x9f/0xaa0 [gfs2] [<ffffffff81188cf4>] vfs_create+0xb4/0xe0 [<ffffffffa04217d6>] nfsd_create_v3+0x366/0x4c0 [nfsd] [<ffffffffa0429703>] nfsd3_proc_create+0x123/0x1b0 [nfsd] [<ffffffffa041a43e>] nfsd_dispatch+0xfe/0x240 [nfsd] [<ffffffffa025a5d4>] svc_process_common+0x344/0x640 [sunrpc] [<ffffffff810602a0>] ? default_wake_function+0x0/0x20 [<ffffffffa025ac10>] svc_process+0x110/0x160 [sunrpc] [<ffffffffa041ab62>] nfsd+0xc2/0x160 [nfsd] [<ffffffffa041aaa0>] ? nfsd+0x0/0x160 [nfsd] [<ffffffff81091de6>] kthread+0x96/0xa0 [<ffffffff8100c14a>] child_rip+0xa/0x20 [<ffffffff81091d50>] ? kthread+0x0/0xa0 [<ffffffff8100c140>] ? child_rip+0x0/0x20

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trying to use mod_proxy with httpd and tomcat

- by techsjs2012

I been trying to use mod_proxy with httpd and tomcat... I have on VirtualBox running Scientific Linux which has httpd and tomcat 6 on it.. I made two nodes of tomcat6. I followed this guide like 10 times and still cant get the 2nd node of tomcat working.. http://www.richardnichols.net/2010/08/5-minute-guide-clustering-apache-tomcat/ Here is the lines from my http.conf file <Proxy balancer://testcluster stickysession=JSESSIONID> BalancerMember ajp://127.0.0.1:8009 min=10 max=100 route=node1 loadfactor=1 BalancerMember ajp://127.0.0.1:8109 min=10 max=100 route=node2 loadfactor=1 </Proxy> ProxyPass /examples balancer://testcluster/examples <Location /balancer-manager> SetHandler balancer-manager AuthType Basic AuthName "Balancer Manager" AuthUserFile "/etc/httpd/conf/.htpasswd" Require valid-user </Location> Now here is my server.xml from node1 <?xml version='1.0' encoding='utf-8'?>   <Server port="8005" shutdown="SHUTDOWN">  <Listener className="org.apache.catalina.core.AprLifecycleListener" SSLEngine="on" />  <Listener className="org.apache.catalina.core.JasperListener" />  <Listener className="org.apache.catalina.core.JreMemoryLeakPreventionListener" />  <Listener className="org.apache.catalina.mbeans.ServerLifecycleListener" /> <Listener className="org.apache.catalina.mbeans.GlobalResourcesLifecycleListener" />  <GlobalNamingResources>  <Resource name="UserDatabase" auth="Container" type="org.apache.catalina.UserDatabase" description="User database that can be updated and saved" factory="org.apache.catalina.users.MemoryUserDatabaseFactory" pathname="conf/tomcat-users.xml" /> </GlobalNamingResources>  <Service name="Catalina">         <Connector port="8009" protocol="AJP/1.3" redirectPort="8443" />   <Engine name="Catalina" defaultHost="localhost" jvmRoute="node1">      <Realm className="org.apache.catalina.realm.UserDatabaseRealm" resourceName="UserDatabase"/>  <Host name="localhost" appBase="webapps" unpackWARs="true" autoDeploy="true" xmlValidation="false" xmlNamespaceAware="false">     </Host> </Engine> </Service> </Server> now here is the server.xml file from node2 <?xml version='1.0' encoding='utf-8'?>   <Server port="8105" shutdown="SHUTDOWN">  <Listener className="org.apache.catalina.core.AprLifecycleListener" SSLEngine="on" />  <Listener className="org.apache.catalina.core.JasperListener" />  <Listener className="org.apache.catalina.core.JreMemoryLeakPreventionListener" />  <Listener className="org.apache.catalina.mbeans.ServerLifecycleListener" /> <Listener className="org.apache.catalina.mbeans.GlobalResourcesLifecycleListener" />  <GlobalNamingResources>  <Resource name="UserDatabase" auth="Container" type="org.apache.catalina.UserDatabase" description="User database that can be updated and saved" factory="org.apache.catalina.users.MemoryUserDatabaseFactory" pathname="conf/tomcat-users.xml" /> </GlobalNamingResources>  <Service name="Catalina">         <Connector port="8109" protocol="AJP/1.3" redirectPort="8443" />   <Engine name="Catalina" defaultHost="localhost" jvmRoute="node2">      <Realm className="org.apache.catalina.realm.UserDatabaseRealm" resourceName="UserDatabase"/>  <Host name="localhost" appBase="webapps" unpackWARs="true" autoDeploy="true" xmlValidation="false" xmlNamespaceAware="false">     </Host> </Engine> </Service> </Server> I dont know what it is. but I been trying for days

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Linux-Containers — Part 1: Overview

- by Lenz Grimmer

"Containers" by Jean-Pierre Martineau (CC BY-NC-SA 2.0). Linux Containers (LXC) provide a means to isolate individual services or applications as well as of a complete Linux operating system from other services running on the same host. To accomplish this, each container gets its own directory structure, network devices, IP addresses and process table. The processes running in other containers or the host system are not visible from inside a container. Additionally, Linux Containers allow for fine granular control of resources like RAM, CPU or disk I/O. Generally speaking, Linux Containers use a completely different approach than "classicial" virtualization technologies like KVM or Xen (on which Oracle VM Server for x86 is based on). An application running inside a container will be executed directly on the operating system kernel of the host system, shielded from all other running processes in a sandbox-like environment. This allows a very direct and fair distribution of CPU and I/O-resources. Linux containers can offer the best possible performance and several possibilities for managing and sharing the resources available. Similar to Containers (or Zones) on Oracle Solaris or FreeBSD jails, the same kernel version runs on the host as well as in the containers; it is not possible to run different Linux kernel versions or other operating systems like Microsoft Windows or Oracle Solaris for x86 inside a container. However, it is possible to run different Linux distribution versions (e.g. Fedora Linux in a container on top of an Oracle Linux host), provided it supports the version of the Linux kernel that runs on the host. This approach has one caveat, though - if any of the containers causes a kernel crash, it will bring down all other containers (and the host system) as well. For example, Oracle's Unbreakable Enterprise Kernel Release 2 (2.6.39) is supported for both Oracle Linux 5 and 6. This makes it possible to run Oracle Linux 5 and 6 container instances on top of an Oracle Linux 6 system. Since Linux Containers are fully implemented on the OS level (the Linux kernel), they can be easily combined with other virtualization technologies. It's certainly possible to set up Linux containers within a virtualized Linux instance that runs inside Oracle VM Server for Oracle VM Virtualbox. Some use cases for Linux Containers include: Consolidation of multiple separate Linux systems on one server: instances of Linux systems that are not performance-critical or only see sporadic use (e.g. a fax or print server or intranet services) do not necessarily need a dedicated server for their operations. These can easily be consolidated to run inside containers on a single server, to preserve energy and rack space. Running multiple instances of an application in parallel, e.g. for different users or customers. Each user receives his "own" application instance, with a defined level of service/performance. This prevents that one user's application could hog the entire system and ensures, that each user only has access to his own data set. It also helps to save main memory — if multiple instances of a same process are running, the Linux kernel can share memory pages that are identical and unchanged across all application instances. This also applies to shared libraries that applications may use, they are generally held in memory once and mapped to multiple processes. Quickly creating sandbox environments for development and testing purposes: containers that have been created and configured once can be archived as templates and can be duplicated (cloned) instantly on demand. After finishing the activity, the clone can safely be discarded. This allows to provide repeatable software builds and test environments, because the system will always be reset to its initial state for each run. Linux Containers also boot significantly faster than "classic" virtual machines, which can save a lot of time when running frequent build or test runs on applications. Safe execution of an individual application: if an application running inside a container has been compromised because of a security vulnerability, the host system and other containers remain unaffected. The potential damage can be minimized, analyzed and resolved directly from the host system. Note: Linux Containers on Oracle Linux 6 with the Unbreakable Enterprise Kernel Release 2 (2.6.39) are still marked as Technology Preview - their use is only recommended for testing and evaluation purposes. The Open-Source project "Linux Containers" (LXC) is driving the development of the technology behind this, which is based on the "Control Groups" (CGroups) and "Name Spaces" functionality of the Linux kernel. Oracle is actively involved in the Linux Containers development and contributes patches to the upstream LXC code base. Control Groups provide means to manage and monitor the allocation of resources for individual processes or process groups. Among other things, you can restrict the maximum amount of memory, CPU cycles as well as the disk and network throughput (in MB/s or IOP/s) that are available for an application. Name Spaces help to isolate process groups from each other, e.g. the visibility of other running processes or the exclusive access to a network device. It's also possible to restrict a process group's access and visibility of the entire file system hierarchy (similar to a classic "chroot" environment). CGroups and Name Spaces provide the foundation on which Linux containers are based on, but they can actually be used independently as well. A more detailed description of how Linux Containers can be created and managed on Oracle Linux will be explained in the second part of this article. Additional links related to Linux Containers: OTN Article: The Role of Oracle Solaris Zones and Linux Containers in a Virtualization Strategy Linux Containers on Wikipedia - Lenz Grimmer Follow me on: Personal Blog | Facebook | Twitter | Linux Blog |

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OSB and Coherence Integration

- by mark.ms.smith

Anyone who has tried to manage Coherence nodes or tried to cache results in OSB, will appreciate the new functionality now available. As of WebLogic Server 10.3.4, you can use the WebLogic Administration Server, via the Administration Console or WLST, and java-based Node Manager to manage and monitor the life cycle of stand-alone Coherence cache servers. This is a great step forward as the previous options mainly involved writing your own scripts to do this. You can find an excellent description of how this works at James Bayer’s blog. You can also find the WebLogic documentation here.As of Oracle Service Bus 11gR1 (11.1.1.3.0), OSB now supports service result caching for Business Bervices with Coherence. If you use Business Services that return somewhat static results that do not change often, you can configure those Business Services to cache results. For Business Services that use result caching, you can control the time to live for the cached result. After the cached result expires, the next Business Service call results in invoking the back-end service to get the result. This result is then stored in the cache for future requests to access. I’m thinking that this caching functionality would be perfect for some sort of cross reference data that was refreshed nightly by batch. You can find the OSB Business Service documentation here.Result Caching in a dedicated JVMThis example demonstrates these new features by configuring a OSB Business Service to cache results in a separate Coherence JVM managed by WebLogic. The reason why you may want to use a separate, dedicated JVM is that the result cache data could potentially be quite large and you may want to protect your OSB java heap.In this example, the client will call an OSB Proxy Service to get Employee data based on an Employee Id. Using a Business Service, OSB calls an external system. The results are automatically cached and when called again, the respective results are retrieved from the cache rather than the external system.Step 1 – Set up your Coherence Server Via the OSB Administration Server Console, create your Coherence Server to be used as the results cache.Here are the configured Coherence Server arguments from the Server Start tab. Note that I’m using the default Cache Config and Override files in the domain.-Xms256m -Xmx512m -XX:PermSize=128m -XX:MaxPermSize=256m -Dtangosol.coherence.override=/app/middleware/jdev_11.1.1.4/user_projects/domains/osb_domain2/config/osb/coherence/osb-coherence-override.xml -Dtangosol.coherence.cluster=OSB-cluster -Dtangosol.coherence.cacheconfig=/app/middleware/jdev_11.1.1.4/user_projects/domains/osb_domain2/config/osb/coherence/osb-coherence-cache-config.xml -Dtangosol.coherence.distributed.localstorage=true -Dtangosol.coherence.management=all -Dtangosol.coherence.management.remote=true -Dcom.sun.management.jmxremote Just incase you need it, here is my Coherence Server classpath:/app/middleware/jdev_11.1.1.4/oracle_common/modules/oracle.coherence_3.6/coherence.jar: /app/middleware/jdev_11.1.1.4/modules/features/weblogic.server.modules.coherence.server_10.3.4.0.jar: /app/middleware/jdev_11.1.1.4/oracle_osb/lib/osb-coherence-client.jarBy default, OSB will try and create a local result cache instance. You need to disable this by adding the following JVM parameters to each of the OSB Managed Servers:-Dtangosol.coherence.distributed.localstorage=false -DOSB.coherence.cluster=OSB-clusterIf you need more information on configuring a remote result cache, have a look at the configuration documentration under the heading Using an Out-of-Process Coherence Cache Server.Step 2 – Configure your Business Service Under the respective Business Service Message Handling Configuration (Advanced Properties), you need to enable “Result Caching”. Additionally, you need to determine what the cache data will be keyed on. In the example below, I’m keying it on the unique Employee Id.The Results As this test was on my laptop, the actual timings are just an indication that there is a benefit to caching results. Using my test harness, I sent 10,000 requests to OSB, all with the same Employee Id. In this case, I had result caching disabled.You can see that this caused the back end Business Service (BS_GetEmployeeData) to be called for each request. Then after enabling result caching, I sent the same number of identical requests.You can now see the Business Service was only invoked once on the first request. All subsequent requests used the Results Cache.

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PRUEBAS DE ESPECIALIZACION 2013/2014

- by agallego

Consigue tu Certificado de Especialista Oracle de forma GRATUITA , 27 y 28 de Noviembre de 2013 Ahora puedes realizar los exámenes de implementación de las especializaciones de Oracle y convertirte en especialista. Podrás realizar cualquiera de los exámenes de implementación de la siguiente lista: Oracle Fusion Customer Relationship Management 11g Sales Certified Implementation Specialist (1Z0-456) Oracle Fusion Customer Relationship Management 11g Incentive Compensation Certified Implementation Specialist (1Z0-472) Oracle ATG Web Commerce 10 Implementation Developer Certified Implementation Specialist (1Z0-510) Oracle RightNow CX Cloud Service 2012 Certified Implementation Specialist (1Z0-465) Oracle RightNow CX Cloud Service 2012 Developer Certified Implementation Specialist (1Z0-480) Oracle Fusion Human Capital Management 11g Human Resources Certified Implementation Specialist (1Z0-584) Oracle Fusion Human Capital Management 11g Talent Management Certified Implementation Specialist (1Z0-585) Oracle Taleo Recruiting Cloud Service 2013 Certified Implementation Specialist (1Z0-474) Oracle Fusion Financials 11g Accounts Payable Certified Implementation Specialist(1Z0-507) Oracle Fusion Financials 11g Accounts Receivable Certified Implementation Specialist(1Z0-506) Oracle Fusion Financials 11g General Ledger Certified Implementation Specialist (1Z0-508) Oracle Fusion Distributed Order Orchestration 11g Essentials (1Z0-469) Oracle Documaker Standard Edition 12 Implementation Essentials (1Z0-570) Oracle Hyperion Planning 11 Essentials (1Z0-533) Oracle Hyperion Financial Management 11 Essentials (1Z0-532) Oracle Business Intelligence Foundation Suite 11g Essentials (1Z0-591) Oracle Essbase 11 Essentials (1Z0-531) Oracle GoldenGate 10 Essentials (1Z0-539) Oracle GoldenGate 11g Certified Implementation Exam Essentials Oracle Business Intelligence Applications 7.9.6 for CRM Essentials (1Z0-524) Oracle Business Intelligence Applications 7.9.6 for ERP Essentials (1Z0-525) Oracle Oracle Endeca Information Discovery 2.3 Certified Implementation Specialist (1Z0-461) Oracle SOA Suite 11g Essentials (1Z0-478) Oracle Service-Oriented Architecture Certified Implementation Specialist (1Z0-451) Oracle Unified Business Process Management Suite 11g Certified Implementation Specialist (1Z0-560) Oracle WebLogic Server 12c Certified Implementation Specialist (1Z0-599) Oracle Application Grid Certified Implementation Specialist(1Z0-523) Oracle WebCenter Content 11g Essentials (1Z0-542) Oracle WebCenter Portal 11g Essentials (1Z0-541) Oracle Application Development Framework Essentials (1Z1-554) Oracle Identity Governance Suite 11g Essentials(1z0-459) Oracle Access Management Suite Plus 11g Essentials Exam(1z0-479) M2M Platform Certified Architecture Essentials (1Z0-467) Oracle WebCenter Sites 11g Certified Implementation Specialist (1Z0-462) Oracle Cloud Application Foundation Essentials(1Z0-468) Oracle Exadata 11g Essentials (1Z0-536) Exadata Database Machine Models X3-2 and X3-8 Certified Implementation Specialist (1Z0-485) Oracle Certified Expert, Oracle Exadata X3 Administration(1Z0-027) Exalogic Elastic Cloud X2-2 Certified Implementation Specialist (1Z0-569) Oracle Linux System Administration (1Z0-403) Oracle Linux Fundamentals (1Z0-402) Oracle Linux 6 Certified Implementation Specialist (1Z0-460) Oracle VM 3 for x86 Certified Implementation Specialist (1Z0-590) Oracle Enterprise Manager 11g Essentials (1Z0-530 ) Oracle Enterprise Manager 12c Essentials (1Z0-457) SPARC T4-Based Server Installation Essentials (1Z0-597) 1Z0-821 Oracle Solaris 11 System Administration 1Z0-822 Oracle Solaris 11 Advanced System Administration Oracle Solaris 11 Installation and Configuration Essentials (1Z0-580) StorageTek Tape Libraries Certified Implementation Specialist(1Z0-546) Sun ZFS Storage Appliance Certified Implementation Specialist The Primavera P6 Enterprise Project Portfolio Management 8 Essentials (1Z0-567) The Primavera Portfolio Management Essentials (1Z0-544) Primavera Contract Management 14 Certified Implementation Specialist (1Z0-582) Oracle Utilities Customer Care and Billing 2 Certified Implementation Specialist (1Z0-562) Oracle Policy Automation 10 Certified Implementation Specialist (1Z0-534) Oracle User Productivity Kit 11 Certified Implementation Specialist (1Z0-566) Oracle User Productivity Kit 11 Technical Certified Implementation Specialist (1Z0-583) Oracle Retail Demand Forecasting 13.3 Functional Implementer Certified Implementation Specialist (1Z0-463) Oracle Retail Predictive Application Server 13 Configuration Implementation Specialist (1Z0-576) Oracle Retail Merchandising System 13.2 Foundation Functional Implementer Certified Implementation Specialist (1Z0-453) Oracle Retail Predictive Application Server 13 Configuration Implementation Specialist (1Z0-576) Oracle Retail Point-of-Service Technical Certified Implementation Specialist (1Z0-572) Oracle Retail Price Management 13.2 Functional Implementer Certified Implementation Specialist (1Z0-454) Oracle Retail Predictive Application Server 13 Configuration Implementation Specialist (1Z0-576) Oracle Retail Store Inventory Management 13.2 Functional Implementer Certified Implementation Specialist (1Z0-455) Oracle Flexcube Universal Banking 11 Technical Implementation Essentials (1Z0-579) Oracle FlexCube Universal Banking 11 Basic Implementation Essentials (1Z0-561) Oracle Flexcube Universal Banking 11 Technical Implementation Essentials (1Z0-579) Oracle FLEXCUBE Direct Banking 6 Implementation Essentials (1Z0-594) Puedes consultar la información acerca de los examenes en cada uno de los enlaces. Para prepararte los examenes sigue la Guia de estudio que encontrarás en la página de cada examen. Requisitos: ser Partner Gold, Platinum o Diamond de Oracle y tener un usuario de Oracle Pearson Vue. ¿Cuándo?: 27 y 28 de noviembre a las (9:00, 12:00, 16:00) ¿Dónde?: Core Networks, C.E.Parque Norte, Edificio Olmo, Planta 1 Serrano Galvache 56 | 28033, Madrid Para inscribirte: Create una cuenta en Pearson Vue (www.pearsonvue.com/oracle). Para Registrarte aquí. Para más información sobre el programa de especializaciones, haz clic aquí. No pierdas esta oportunidad e inscríbete hoy. Para cualquier duda contactar con [email protected]. Ana María Gallego Partner Enablement Manager Spain and Portugal

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Implications of Java 6 End of Public Updates for EBS Users

- by Steven Chan (Oracle Development)

The Support Roadmap for Oracle Java is published here: Oracle Java SE Support Roadmap The latest updates to that page (as of Sept. 19, 2012) state (emphasis added): Java SE 6 End of Public Updates Notice After February 2013, Oracle will no longer post updates of Java SE 6 to its public download sites. Existing Java SE 6 downloads already posted as of February 2013 will remain accessible in the Java Archive on Oracle Technology Network. Developers and end-users are encouraged to update to more recent Java SE versions that remain available for public download. For enterprise customers, who need continued access to critical bug fixes and security fixes as well as general maintenance for Java SE 6 or older versions, long term support is available through Oracle Java SE Support . What does this mean for Oracle E-Business Suite users? EBS users fall under the category of "enterprise users" above. Java is an integral part of the Oracle E-Business Suite technology stack, so EBS users will continue to receive Java SE 6 updates after February 2013. In other words, nothing will change for EBS users after February 2013. EBS users will continue to receive critical bug fixes and security fixes as well as general maintenance for Java SE 6. These Java SE 6 updates will be made available to EBS users for the Extended Support periods documented in the Oracle Lifetime Support policy document for Oracle Applications (PDF): EBS 11i Extended Support ends November 2013 EBS 12.0 Extended Support ends January 2015 EBS 12.1 Extended Support ends December 2018 Will EBS users be forced to upgrade to JRE 7 for Windows desktop clients? No. This upgrade will be highly recommended but currently remains optional. JRE 6 will be available to Windows users to run with EBS for the duration of your respective EBS Extended Support period. Updates will be delivered via My Oracle Support, where you can continue to receive critical bug fixes and security fixes as well as general maintenance for JRE 6 desktop clients. The certification of Oracle E-Business Suite with JRE 7 (for desktop clients accessing EBS Forms-based content) is in its final stages. If you plan to upgrade your EBS desktop clients to JRE 7 when that certification is released, you can get a head-start on that today. Coexistence of JRE 6 and JRE 7 on Windows desktops The upgrade to JRE 7 will be highly recommended for EBS users, but some users may need to run both JRE 6 and 7 on their Windows desktops for reasons unrelated to the E-Business Suite. Most EBS configurations with IE and Firefox use non-static versioning by default. JRE 7 will be invoked instead of JRE 6 if both are installed on a Windows desktop. For more details, see "Appendix B: Static vs. Non-static Versioning and Set Up Options" in Notes 290801.1 and 393931.1. Applying Updates to JRE 6 and JRE 7 to Windows desktops Auto-update will keep JRE 7 up-to-date for Windows users with JRE 7 installed. Auto-update will only keep JRE 7 up-to-date for Windows users with both JRE 6 and 7 installed. JRE 6 users are strongly encouraged to apply the latest Critical Patch Updates as soon as possible after each release. The Jave SE CPUs will be available via My Oracle Support. EBS users can find more information about JRE 6 and 7 updates here: Information Center: Installation & Configuration for Oracle Java SE (Note 1412103.2) The dates for future Java SE CPUs can be found on the Critical Patch Updates, Security Alerts and Third Party Bulletin. An RSS feed is available on that site for those who would like to be kept up-to-date. What will Mac users need? Oracle will provide updates to JRE 7 for Mac OS X users. EBS users running Macs will need to upgrade to JRE 7 to receive JRE updates. The certification of Oracle E-Business Suite with JRE 7 for Mac-based desktop clients accessing EBS Forms-based content is underway. Mac users waiting for that certification may find this article useful: How to Reenable Apple Java 6 Plug-in for Mac EBS Users Will EBS users be forced to upgrade to JDK 7 for EBS application tier servers? No. This upgrade will be highly recommended but will be optional for EBS application tier servers running on Windows, Linux, and Solaris. You can choose to remain on JDK 6 for the duration of your respective EBS Extended Support period. If you remain on JDK 6, you will continue to receive critical bug fixes and security fixes as well as general maintenance for JDK 6. The certification of Oracle E-Business Suite with JDK 7 for EBS application tier servers on Windows, Linux, and Solaris as well as other platforms such as IBM AIX and HP-UX is planned. Customers running platforms other than Windows, Linux, and Solaris should refer to their Java vendors's sites for more information about their support policies. Related Articles Planning Bulletin for JRE 7: What EBS Customers Can Do Today EBS 11i and 12.1 Support Timeline Changes Frequently Asked Questions about Latest EBS Support Changes Critical Patch Updates During EBS 11i Exception to Sustaining Support Period

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SPARC T4-4 Delivers World Record Performance on Oracle OLAP Perf Version 2 Benchmark

- by Brian

Oracle's SPARC T4-4 server delivered world record performance with subsecond response time on the Oracle OLAP Perf Version 2 benchmark using Oracle Database 11g Release 2 running on Oracle Solaris 11. The SPARC T4-4 server achieved throughput of 430,000 cube-queries/hour with an average response time of 0.85 seconds and the median response time of 0.43 seconds. This was achieved by using only 60% of the available CPU resources leaving plenty of headroom for future growth. The SPARC T4-4 server operated on an Oracle OLAP cube with a 4 billion row fact table of sales data containing 4 dimensions. This represents as many as 90 quintillion aggregate rows (90 followed by 18 zeros). Performance Landscape Oracle OLAP Perf Version 2 Benchmark 4 Billion Fact Table Rows System Queries/hour Users* Response Time (sec) Average Median SPARC T4-4 430,000 7,300 0.85 0.43 * Users - the supported number of users with a given think time of 60 seconds Configuration Summary and Results Hardware Configuration: SPARC T4-4 server with 4 x SPARC T4 processors, 3.0 GHz 1 TB memory Data Storage 1 x Sun Fire X4275 (using COMSTAR) 2 x Sun Storage F5100 Flash Array (each with 80 FMODs) Redo Storage 1 x Sun Fire X4275 (using COMSTAR with 8 HDD) Software Configuration: Oracle Solaris 11 11/11 Oracle Database 11g Release 2 (11.2.0.3) with Oracle OLAP option Benchmark Description The Oracle OLAP Perf Version 2 benchmark is a workload designed to demonstrate and stress the Oracle OLAP product's core features of fast query, fast update, and rich calculations on a multi-dimensional model to support enhanced Data Warehousing. The bulk of the benchmark entails running a number of concurrent users, each issuing typical multidimensional queries against an Oracle OLAP cube consisting of a number of years of sales data with fully pre-computed aggregations. The cube has four dimensions: time, product, customer, and channel. Each query user issues approximately 150 different queries. One query chain may ask for total sales in a particular region (e.g South America) for a particular time period (e.g. Q4 of 2010) followed by additional queries which drill down into sales for individual countries (e.g. Chile, Peru, etc.) with further queries drilling down into individual stores, etc. Another query chain may ask for yearly comparisons of total sales for some product category (e.g. major household appliances) and then issue further queries drilling down into particular products (e.g. refrigerators, stoves. etc.), particular regions, particular customers, etc. Results from version 2 of the benchmark are not comparable with version 1. The primary difference is the type of queries along with the query mix. Key Points and Best Practices Since typical BI users are often likely to issue similar queries, with different constants in the where clauses, setting the init.ora prameter "cursor_sharing" to "force" will provide for additional query throughput and a larger number of potential users. Except for this setting, together with making full use of available memory, out of the box performance for the OLAP Perf workload should provide results similar to what is reported here. For a given number of query users with zero think time, the main measured metrics are the average query response time, the median query response time, and the query throughput. A derived metric is the maximum number of users the system can support achieving the measured response time assuming some non-zero think time. The calculation of the maximum number of users follows from the well-known response-time law N = (rt + tt) * tp where rt is the average response time, tt is the think time and tp is the measured throughput. Setting tt to 60 seconds, rt to 0.85 seconds and tp to 119.44 queries/sec (430,000 queries/hour), the above formula shows that the T4-4 server will support 7,300 concurrent users with a think time of 60 seconds and an average response time of 0.85 seconds. For more information see chapter 3 from the book "Quantitative System Performance" cited below. -- See Also Quantitative System Performance Computer System Analysis Using Queueing Network Models Edward D. Lazowska, John Zahorjan, G. Scott Graham, Kenneth C. Sevcik external local Oracle Database 11g – Oracle OLAP oracle.com OTN SPARC T4-4 Server oracle.com OTN Oracle Solaris oracle.com OTN Oracle Database 11g Release 2 oracle.com OTN Disclosure Statement Copyright 2012, 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 11/2/2012.

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ArchBeat Link-o-Rama Top 10 for November 2012

- by Bob Rhubart

Every day ArchBeat searches the web for content created by and for community members, and then shares that content via social media. Here's the list of the Top 10 most popular items posted on the OTN ArchBeat Facebook Page for November 2012. One-Stop Shop for Oracle Webcasts Webcasts can be a great way to get information about Oracle products without having to go cross-eyed reading yet another document off your computer screen. Oracle's new Webcast Center offers selectable filtering to make it easy to get to the information you want. Yes, you have to register to gain access, but that process is quick, and with over 200 webcasts to choose from you know you'll find useful content. OAM/OVD JVM Tuning Vinay from the Oracle Fusion Middleware Architecture Group (otherwise known as the A-Team) shares a process for analyzing and improving performance in Oracle Virtual Directory and Oracle Access Manager. White Paper: Oracle Exalogic Elastic Cloud: Advanced I/O Virtualization Architecture for Consolidating High-Performance Workloads This new white paper by Adam Hawley (with contributions from Yoav Eilat) describes in great detail the incorporation into Oracle Exalogic of virtualized InfiniBand I/O interconnects using Single Root I/O Virtualization (SR-IOV) technology. Architected Systems: "If you don't develop an architecture, you will get one anyway..." "Can you build a system without taking care of architecture?," asks Manuel Ricca. "You certainly can. But inevitably the system will be unbalanced, neglecting the interests of key stakeholders, and problems will soon emerge." Backup and Recovery of an Exalogic vServer via rsync "On Exalogic a vServer will consist of a number of resources from the underlying machine," says the man known only as Donald. "These resources include compute power, networking and storage. In order to recover a vServer from a failure in the underlying rack all of these components have to be thoughts about. This article only discusses the backup and recovery strategies that apply to the storage system of a vServer." This Week on the OTN Architect Community Home Page Make time to check out this week's features on the OTN Solution Architect Homepage, including: SOA Practitioner Guide: Identifying and Discovering Services Technical article by Yuli Vasiliev on Setting Up, Configuring, and Using an Oracle WebLogic Server Cluster Podcast: Are You Future Proof? Clustering ODI11g for High-Availability Part 1: Introduction and Architecture | Richard Yeardley "JEE agents can be deployed alongside, or instead of, standalone agents," says Rittman Meade's Richard Yeardley. "But there is one key advantage in using JEE agents and WebLogic – when you deploy JEE agents as part of a WebLogic cluster they can be configured together to form a high availability cluster." Learn more in Yeardley's extensive post. OIM 11g : Multi-thread approach for writing custom scheduled job | Saravanan V S Saravanan shares insight and expertise relevant to "designing and developing an OIM schedule job that uses multi threaded approach for updating data in OIM using APIs." How to Create Virtual Directory in Weblogic Server | Zeeshan Baig Oracle ACE Zeeshan Baig shows you how in six easy steps. SOA Galore: New Books for Technical Eyes Only Shake up up your technical skills with this trio of new technical books from community members covering SOA and BPM. Thought for the Day "Humans are the best value in computers -- where else can you get a non-linear computer weighing only about 160lbs, having a billion binary decision elements, that can be mass-produced by unskilled labour?" — Anonymous Source: SoftwareQuotes.com

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Big Data – ClustrixDB – Extreme Scale SQL Database with Real-time Analytics, Releases Software Download – NewSQL

- by Pinal Dave

There are so many things to learn and there is so little time we all have. As we have little time we need to be selective to learn whatever we learn. I believe I know quite a lot of things in SQL but I still do not know what is around SQL. I have started to learn about NewSQL recently. If you wonder what is NewSQL I encourage all of you to read my blog post about NewSQL over here Big Data – Buzz Words: What is NewSQL – Day 10 of 21. NewSQL databases are quickly becoming popular – providing the scale of NoSQL with the SQL features and transactions. As a part of learning NewSQL database, I have recently started to learn about ClustrixDB. ClustrixDB has been the most mature NewSQL database used by some of the largest internet sites in the world for over 3 years, with extensive SQL support. In addition to scale, it provides fast real-time analytics by bringing massively parallel processing (MPP), available only in warehousing databases, to the transactional database. The reason I am more intrigued about learning ClustrixDB is their recent announcement on Oct 31. ClustrixDB was only available as an appliance, but now with their software release on Oct 31, everyone can use it. It is now available as forever free for up to 12 cores with community support, and there is a 45 day trial for unlimited cluster sizes. With the forever free world, I am indeed interested in ClustrixDB now. I know that few of the leading eCommerce sites in the world uses them for their transactional database. Here are few of the details I have quickly noted for ClustrixDB. ClustrixDB allows user to: Scale by simply adding nodes to the cluster with a single command Run billions of transactions a day Run fast real-time analytics Achieve high-availability with recovery from node failure Manages itself Easily migrate from MySQL as it is nearly plug-and-play compatible, use MySQL drivers, tools and replication. While I was going through the documentation I realized that ClustrixDB also has extensive support for SQL features including complex queries involving joins on a dozen or more tables, aggregates, sorts, sub-queries. It also supports stored procedures, triggers, foreign keys, partitioned and temporary tables, and fully online schema changes. It is indeed a very matured product and SQL solution. Indeed Clusterix sound very promising solution, I decided to dig a bit deeper to understand who are current customers of the Clustrix as they exist in the industry for quite a few years. Their client list is indeed very interesting and here is my quick research about them. Twoo.com – Europe’s largest social discovery (dating) site runs 4.4 Billion Transactions a day with table sizes over a Terabyte, on a 168 core cluster. EngageBDR – Top 3 in the online advertising category uses ClustrixDB to serve 6.9 billion ads a day through real-time bidding platform. Their reports went from 4 hours to 15 seconds. NoMoreRack – Top 2 fastest growing e-commerce company in US used ClustrixDB for high availability and fast growth through Amazon cloud. MakeMyTrip – India’s leading travel site runs on ClustrixDB with two clusters running as multi-master in Chennai and Bangalore. Many enterprises such as AOL, CSC, Rakuten, Symantec use ClustrixDB when their applications need scale. I must accept that I am impressed with the information I have learned so far and now is the time to do some hand’s on experience with their product. I want to learn this technology so in future when it is about NewSQL, I know what I am talking about. Read more why Clustrix explains why you ClustrixDB might be the right database for you. Download ClustrixDB with me today and install it on your machine so in future when we discuss the technical aspects of it, we all are on the same page. The software can be downloaded here. Reference : Pinal Dave (http://blog.SQLAuthority.com)Filed under: Big Data, MySQL, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL Tagged: Clustrix

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Performance triage

- by Dave

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

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Fast Data - Big Data's achilles heel

- by thegreeneman

At OOW 2013 in Mark Hurd and Thomas Kurian's keynote, they discussed Oracle's Fast Data software solution stack and discussed a number of customers deploying Oracle's Big Data / Fast Data solutions and in particular Oracle's NoSQL Database. Since that time, there have been a large number of request seeking clarification on how the Fast Data software stack works together to deliver on the promise of real-time Big Data solutions. Fast Data is a software solution stack that deals with one aspect of Big Data, high velocity. The software in the Fast Data solution stack involves 3 key pieces and their integration: Oracle Event Processing, Oracle Coherence, Oracle NoSQL Database. All three of these technologies address a high throughput, low latency data management requirement. Oracle Event Processing enables continuous query to filter the Big Data fire hose, enable intelligent chained events to real-time service invocation and augments the data stream to provide Big Data enrichment. Extended SQL syntax allows the definition of sliding windows of time to allow SQL statements to look for triggers on events like breach of weighted moving average on a real-time data stream. Oracle Coherence is a distributed, grid caching solution which is used to provide very low latency access to cached data when the data is too big to fit into a single process, so it is spread around in a grid architecture to provide memory latency speed access. It also has some special capabilities to deploy remote behavioral execution for "near data" processing. The Oracle NoSQL Database is designed to ingest simple key-value data at a controlled throughput rate while providing data redundancy in a cluster to facilitate highly concurrent low latency reads. For example, when large sensor networks are generating data that need to be captured while analysts are simultaneously extracting the data using range based queries for upstream analytics. Another example might be storing cookies from user web sessions for ultra low latency user profile management, also leveraging that data using holistic MapReduce operations with your Hadoop cluster to do segmented site analysis. Understand how NoSQL plays a critical role in Big Data capture and enrichment while simultaneously providing a low latency and scalable data management infrastructure thru clustered, always on, parallel processing in a shared nothing architecture. Learn how easily a NoSQL cluster can be deployed to provide essential services in industry specific Fast Data solutions. See these technologies work together in a demonstration highlighting the salient features of these Fast Data enabling technologies in a location based personalization service. The question then becomes how do these things work together to deliver an end to end Fast Data solution. The answer is that while different applications will exhibit unique requirements that may drive the need for one or the other of these technologies, often when it comes to Big Data you may need to use them together. You may have the need for the memory latencies of the Coherence cache, but just have too much data to cache, so you use a combination of Coherence and Oracle NoSQL to handle extreme speed cache overflow and retrieval. Here is a great reference to how these two technologies are integrated and work together. Coherence & Oracle NoSQL Database. On the stream processing side, it is similar as with the Coherence case. As your sliding windows get larger, holding all the data in the stream can become difficult and out of band data may need to be offloaded into persistent storage. OEP needs an extreme speed database like Oracle NoSQL Database to help it continue to perform for the real time loop while dealing with persistent spill in the data stream. Here is a great resource to learn more about how OEP and Oracle NoSQL Database are integrated and work together. OEP & Oracle NoSQL Database.

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Quadratic Programming with Oracle R Enterprise

- by Jeff Taylor-Oracle

I wanted to use quadprog with ORE on a server running Oracle Solaris 11.2 on a Oracle SPARC T-4 server For background, see: Oracle SPARC T4-2 http://docs.oracle.com/cd/E23075_01/ Oracle Solaris 11.2 http://www.oracle.com/technetwork/server-storage/solaris11/overview/index.html quadprog: Functions to solve Quadratic Programming Problems http://cran.r-project.org/web/packages/quadprog/index.html Oracle R Enterprise 1.4 ("ORE") 1.4 http://www.oracle.com/technetwork/database/options/advanced-analytics/r-enterprise/ore-downloads-1502823.html Problem: path to Solaris Studio doesn't match my installation: $ ORE CMD INSTALL quadprog_1.5-5.tar.gz * installing to library \u2018/u01/app/oracle/product/12.1.0/dbhome_1/R/library\u2019 * installing *source* package \u2018quadprog\u2019 ... ** package \u2018quadprog\u2019 successfully unpacked and MD5 sums checked ** libs /opt/SunProd/studio12u3/solarisstudio12.3/bin/f95 -m64 -PIC -g -c aind.f -o aind.o bash: /opt/SunProd/studio12u3/solarisstudio12.3/bin/f95: No such file or directory *** Error code 1 make: Fatal error: Command failed for target `aind.o' ERROR: compilation failed for package \u2018quadprog\u2019 * removing \u2018/u01/app/oracle/product/12.1.0/dbhome_1/R/library/quadprog\u2019 $ ls -l /opt/solarisstudio12.3/bin/f95 lrwxrwxrwx 1 root root 15 Aug 19 17:36 /opt/solarisstudio12.3/bin/f95 -> ../prod/bin/f90 Solution: a symbolic link: $ sudo mkdir -p /opt/SunProd/studio12u3 $ sudo ln -s /opt/solarisstudio12.3 /opt/SunProd/studio12u3/ Now, it is all good: $ ORE CMD INSTALL quadprog_1.5-5.tar.gz * installing to library \u2018/u01/app/oracle/product/12.1.0/dbhome_1/R/library\u2019 * installing *source* package \u2018quadprog\u2019 ... ** package \u2018quadprog\u2019 successfully unpacked and MD5 sums checked ** libs /opt/SunProd/studio12u3/solarisstudio12.3/bin/f95 -m64 -PIC -g -c aind.f -o aind.o /opt/SunProd/studio12u3/solarisstudio12.3/bin/ cc -xc99 -m64 -I/usr/lib/64/R/include -DNDEBUG -KPIC -xlibmieee -c init.c -o init.o /opt/SunProd/studio12u3/solarisstudio12.3/bin/f95 -m64 -PIC -g -c -o solve.QP.compact.o solve.QP.compact.f /opt/SunProd/studio12u3/solarisstudio12.3/bin/f95 -m64 -PIC -g -c -o solve.QP.o solve.QP.f /opt/SunProd/studio12u3/solarisstudio12.3/bin/f95 -m64 -PIC -g -c util.f -o util.o /opt/SunProd/studio12u3/solarisstudio12.3/bin/ cc -xc99 -m64 -G -o quadprog.so aind.o init.o solve.QP.compact.o solve.QP.o util.o -xlic_lib=sunperf -lsunmath -lifai -lsunimath -lfai -lfai2 -lfsumai -lfprodai -lfminlai -lfmaxlai -lfminvai -lfmaxvai -lfui -lfsu -lsunmath -lmtsk -lm -lifai -lsunimath -lfai -lfai2 -lfsumai -lfprodai -lfminlai -lfmaxlai -lfminvai -lfmaxvai -lfui -lfsu -lsunmath -lmtsk -lm -L/usr/lib/64/R/lib -lR installing to /u01/app/oracle/product/12.1.0/dbhome_1/R/library/quadprog/libs ** R ** preparing package for lazy loading ** help *** installing help indices converting help for package \u2018quadprog\u2019 finding HTML links ... done solve.QP html solve.QP.compact html ** building package indices ** testing if installed package can be loaded * DONE (quadprog) ====== Here is an example from http://cran.r-project.org/web/packages/quadprog/quadprog.pdf > require(quadprog) > Dmat <- matrix(0,3,3) > diag(Dmat) <- 1 > dvec <- c(0,5,0) > Amat <- matrix(c(-4,-3,0,2,1,0,0,-2,1),3,3) > bvec <- c(-8,2,0) > solve.QP(Dmat,dvec,Amat,bvec=bvec) $solution [1] 0.4761905 1.0476190 2.0952381 $value [1] -2.380952 $unconstrained.solution [1] 0 5 0 $iterations [1] 3 0 $Lagrangian [1] 0.0000000 0.2380952 2.0952381 $iact [1] 3 2 Here, the standard example is modified to work with Oracle R Enterprise require(ORE) ore.connect("my-name", "my-sid", "my-host", "my-pass", 1521) ore.doEval( function () { require(quadprog) } ) ore.doEval( function () { Dmat <- matrix(0,3,3) diag(Dmat) <- 1 dvec <- c(0,5,0) Amat <- matrix(c(-4,-3,0,2,1,0,0,-2,1),3,3) bvec <- c(-8,2,0) solve.QP(Dmat,dvec,Amat,bvec=bvec) } ) $solution [1] 0.4761905 1.0476190 2.0952381 $value [1] -2.380952 $unconstrained.solution [1] 0 5 0 $iterations [1] 3 0 $Lagrangian [1] 0.0000000 0.2380952 2.0952381 $iact [1] 3 2 Now I can combine the quadprog compute algorithms with the Oracle R Enterprise Database engine functionality: Scale to large datasets Access to tables, views, and external tables in the database, as well as those accessible through database links Use SQL query parallel execution Use in-database statistical and data mining functionality

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extjs - 'Store is undefined'

- by Jamie

Hi all, I'm pretty sure this a trivial problem and i'm just being a bit stupid. Your help would be hugely appreciated. In controls/dashboard.js I have: Ext.ill.WCSS.controls.dashboard = { xtype:'portal', region:'center', margins:'35 5 5 0', items:[{ columnWidth: 1, style:'padding:10px', items:[{ title: 'My Cluster Jobs', layout:'fit', html: "test" }] },{ columnWidth: 1, style:'padding:10px', items:[{ title: 'All Cluster Jobs', iconCls: 'icon-queue', html: "test", items: new Ext.grid.GridPanel({ title: 'Cluster Job Queue', store: Ext.ill.WCSS.stores.dashboardClusterJobs, width: 791, height: 333, frame: true, loadMask: true, stateful: false, autoHeight: true, stripeRows: true, floating: false, footer: false, collapsible: false, animCollapse: false, titleCollapse: false, columns:[ { xtype: 'gridcolumn', header: 'Job ID', sortable: true, resizable: true, width: 100, dataIndex: 'JB_job_number', fixed: false }, { xtype: 'gridcolumn', header: 'Priority', sortable: true, resizable: true, width: 100, dataIndex: 'JAT_prio', fixed: false }, { xtype: 'gridcolumn', header: 'User', sortable: true, resizable: true, width: 100, dataIndex: 'JB_owner' }, { xtype: 'gridcolumn', header: 'State', sortable: true, resizable: true, width: 100, dataIndex: 'state' }, { xtype: 'gridcolumn', header: 'Date Submitted', sortable: true, resizable: true, width: 100, dataIndex: 'JAT_start_time' }, { xtype: 'gridcolumn', header: 'Queue', sortable: true, resizable: true, width: 100, dataIndex: 'queue_name' }, { xtype: 'gridcolumn', header: 'CPUs', sortable: true, resizable: true, width: 100, dataIndex: 'slots' } ], bbar: { xtype: 'paging', store: 'storeClusterQueue', displayInfo: true, refreshText: 'Retrieving queue status...', emptyMsg: 'No jobs to retrieve', id: 'clusterQueuePaging' } }) }] }] }; Simple enough, note the reference to 'Ext.ill.WCSS.stores.dashboardClusterJobs' So in stores/dashboard.js I just have this: Ext.ill.WCSS.stores.dashboardClusterJobs = new Ext.data.XmlStore({ storeId: 'storeClusterJobs', record: 'job_list', autoLoad: true, url: 'joblist.xml', idPath: 'job_info', remoteSort: false, fields: [ { name: 'JB_job_number' }, { name: 'JAT_prio' }, { name: 'JB_name' }, { name: 'JB_owner' }, { name: 'state' }, { name: 'JAT_start_time' }, { name: 'slots' }, { name: 'queue_name' } ] }); I run the code and I get 'store is undefined' :S It's confusing me a lot. All of the javascripts have been included in the correct order. i.e. <script type="text/javascript" src="/js/portal.js"></script> <script type="text/javascript" src="/js/stores/dashboard.js"></script> <script type="text/javascript" src="/js/controls/dashboard.js"></script> Thanks guys!

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Weblogic EJB calls start to fail under moderate load with OptionalDataException

- by MarkoU

Our system setup consists of two Weblogic 10.3 servers: one hosts the presentation layer and the other hosts the EJBs. The system runs fine under moderate load for some time (one to several days) after which EJB method calls from the presentation server to the EJB server start to fail with the following error: java.rmi.RemoteException: java.rmi.UnmarshalException: error unmarshalling arguments; nested exception is: java.io.OptionalDataException Stack trace: java.io.OptionalDataException at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1349) at java.io.ObjectInputStream.readObject(ObjectInputStream.java:351) at weblogic.utils.io.ChunkedObjectInputStream.readObject(ChunkedObjectInputStream.java:197) at weblogic.rjvm.MsgAbbrevInputStream.readObject(MsgAbbrevInputStream.java:564) at weblogic.utils.io.ChunkedObjectInputStream.readObject(ChunkedObjectInputStream.java:193) at weblogic.jndi.internal.RootNamingNode_WLSkel.invoke(Unknown Source) at weblogic.rmi.internal.BasicServerRef.invoke(BasicServerRef.java:589) at weblogic.rmi.cluster.ClusterableServerRef.invoke(ClusterableServerRef.java:230) at weblogic.rmi.internal.BasicServerRef$1.run(BasicServerRef.java:477) at weblogic.security.acl.internal.AuthenticatedSubject.doAs(AuthenticatedSubject.java:363) at weblogic.security.service.SecurityManager.runAs(Unknown Source) at weblogic.rmi.internal.BasicServerRef.handleRequest(BasicServerRef.java:473) at weblogic.rmi.internal.wls.WLSExecuteRequest.run(WLSExecuteRequest.java:118) Once the first OptionalDataException is encountered all subsequent calls fail with the same result. Some sources suggest that this might be related to cluster multicast port being misconfigured. However, these servers do not belong to a cluster. Booting the EJB server always temporarily resolves the issue, but the issue seems to occur again after some time. Any ideas?

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java class creation dynamically and make it accessible across the network different jvms i.e. serial

- by inj.rav

Hi. I have a requirement of creating java classes dynamically and make it accessible different jvms across the network. I tried to use reflection and javassist tool,but nothing worked. Let me explain the scenario we are using Coherence distributed cache. It has a power of doing aggregation/filtering in parallel across the cluster. For example if a class has [dynamic class] has amount variable and getAmount/setAmount methods. Then if we execute COHERENCE queries, it will start process in parallel across the cluster. I tried to create classes at run time by using javassist and reflection. I am able to access it from single JVM, but when I tried to access the same class from other jvm [through coherence cluster]. I am getting exception of class not found [as remote jvm is not having idea of this class].I can over come this by creating same class dynamically on remote jvm also and access the methods. But coherence in built methods/functions are not able to find the class. could some one help me on this matter

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SQL Server: Clustering by timestamp; pros/cons

- by Ian Boyd

I have a table in SQL Server, where i want inserts to be added to the end of the table (as opposed to a clustering key that would cause them to be inserted in the middle). This means I want the table clustered by some column that will constantly increase. This could be achieved by clustering on a datetime column: CREATE TABLE Things ( ... CreatedDate datetime DEFAULT getdate(), [timestamp] timestamp, CONSTRAINT [IX_Things] UNIQUE CLUSTERED (CreatedDate) ) But I can't guaranteed that two Things won't have the same time. So my requirements can't really be achieved by a datetime column. I could add a dummy identity int column, and cluster on that: CREATE TABLE Things ( ... RowID int IDENTITY(1,1), [timestamp] timestamp, CONSTRAINT [IX_Things] UNIQUE CLUSTERED (RowID) ) But you'll notice that my table already constains a timestamp column; a column which is guaranteed to be a monotonically increasing. This is exactly the characteristic I want for a candidate cluster key. So I cluster the table on the rowversion (aka timestamp) column: CREATE TABLE Things ( ... [timestamp] timestamp, CONSTRAINT [IX_Things] UNIQUE CLUSTERED (timestamp) ) Rather than adding a dummy identity int column (RowID) to ensure an order, I use what I already have. What I'm looking for are thoughts of why this is a bad idea; and what other ideas are better. Note: Community wiki, since the answers are subjective.

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SQL Server: Clutering by timestamp; pros/cons

- by Ian Boyd

i have a table in SQL Server, where i want inserts to be added to the end of the table (as opposed to a clustering key that would cause them to be inserted in the middle). This means i want the table clustered by some column that will constantly increase. This could be achieved by clustering on a datetime column: CREATE TABLE Things ( ... CreatedDate datetime DEFAULT getdate(), [timestamp] timestamp, CONSTRAINT [IX_Things] UNIQUE CLUSTERED (CreatedDate) ) But i can't guaranteed that two Things won't have the same time. So my requirements can't really be achieved by a datetime column. i could add a dummy identity int column, and cluster on that: CREATE TABLE Things ( ... RowID int IDENTITY(1,1), [timestamp] timestamp, CONSTRAINT [IX_Things] UNIQUE CLUSTERED (RowID) ) But you'll notice that my table already constains a timestamp column; a column which is guaranteed to be a monotonically increasing. This is exactly the characteristic i want for a candidate cluster key. So i cluster the table on the rowversion (aka timestamp) column: CREATE TABLE Things ( ... [timestamp] timestamp, CONSTRAINT [IX_Things] UNIQUE CLUSTERED (timestamp) ) Rather than adding a dummy identity int column (RowID) to ensure an order, i use what i already have. What i'm looking for are thoughts of why this is a bad idea; and what other ideas are better. Note: Community wiki, since the answers are subjective.

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Objective-C: Getting the True Class of Classes in Class Clusters

- by TechZen

Recently while trying to answer a questions here, I ran some test code to see how Xcode/gdb reported the class of instances in class clusters. (see below) In the past, I've expected to see something like: PrivateClusterClass:PublicSuperClass:NSObject Such as this (which still returns as expected): NSPathStore2:NSString:NSObject ... for a string created with +[NSString pathWithComponents:]. However, with NSSet and subclass the following code: - (void)applicationDidFinishLaunching:(UIApplication *)application { NSSet *s=[NSSet setWithObject:@"setWithObject"]; NSMutableSet *m=[NSMutableSet setWithCapacity:1]; [m addObject:@"Added String"]; NSMutableSet *n = [[NSMutableSet alloc] initWithCapacity:1]; [self showSuperClasses:s]; [self showSuperClasses:m]; [self showSuperClasses:n]; [self showSuperClasses:@"Steve"]; } - (void) showSuperClasses:(id) anObject{ Class cl = [anObject class]; NSString *classDescription = [cl description]; while ([cl superclass]) { cl = [cl superclass]; classDescription = [classDescription stringByAppendingFormat:@":%@", [cl description]]; } NSLog(@"%@ classes=%@",[anObject class], classDescription); } ... outputs: // NSSet *s NSCFSet classes=NSCFSet:NSMutableSet:NSSet:NSObject //NSMutableSet *m NSCFSet classes=NSCFSet:NSMutableSet:NSSet:NSObject //NSMutableSet *n NSCFSet classes=NSCFSet:NSMutableSet:NSSet:NSObject // NSString @"Steve" NSCFString classes=NSCFString:NSMutableString:NSString:NSObject The debugger shows the same class for all Set instances. I know that in the past the Set class cluster did not return like this. What has changed? (I suspect it is a change in the bridge from Core Foundation.) What class cluster report just a generic class e.g. NSCFSet and which report an actual subclass e.g. NSPathStore2? Most importantly, when debugging how do you determine the actual class of a NSSet cluster instance?

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email bouncing back

- by moiz.in

Some emails are bouncing back with the error message below The following organization rejected your message: cluster-m.mailcontrol.com Also when I looked the further details it gives me this information: Diagnostic information for administrators: Generating server: myserver.com.au [email protected] cluster-m.mailcontrol.com #554 5.7.1 Access denied ## Received: from myserver.com.au ([192.168.0.3]) by myserver.com.au ([192.168.0.3]) with mapi; Mon, 27 Jun 2011 08:04:50 +0800 From: XYZ <[email protected]> To: "XYZ ([email protected])" <[email protected]> Date: Mon, 27 Jun 2011 08:04:49 +0800 Subject: FW: Pic S979888 Thread-Topic: Pic S979888 Thread-Index: Acw0WppDIX2PPJwZR0OGVP1rbUtzDAAAzcuA Message-ID: <[email protected]> Accept-Language: en-US, en-AU Content-Language: en-US X-MS-Has-Attach: yes X-MS-TNEF-Correlator: acceptlanguage: en-US, en-AU Content-Type: multipart/mixed; boundary="_004_573874A6BF36864EA3FB179BF7A43C2B031D388DF7D8bunsrvapp00_" MIME-Version: 1.0 Could you please tell me what is wrong with this and why is it bouncing back?

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.NET Framework 4.5 remote install via PowerShell

- by user251297

I am trying to install .NET Framework 4.5 to the remote Win2008R2 Server via PowerShell session in such way (user is in the server Administrators group): $session = New-PSSession -ComputerName $server -Credential Get-Credential Invoke-Command -Session $session -ScriptBlock {Start-Process -FilePath "C:\temp\dotnetfx45_full_x86_x64.exe" -ArgumentList "/q /norestart" -Wait -PassThru} And then I get this error: Executable: C:\temp\dotnetfx45_full_x86_x64.exe v4.5.50709.17929 --- logging level: standard --- Successfully bound to the ClusApi.dll Error 0x80070424: Failed to open the current cluster Cluster drive map: '' Considering drive: 'C:\'... Drive 'C:\' has been selected as the largest fixed drive Directory 'C:\aa113be049433424d2d3ca\' has been selected for file extraction Extracting files to: C:\aa113be049433424d2d3ca\ Error 0x80004005: Failed to extract all files out of box container #0. Error 0x80004005: Failed to extract Exiting with result code: 0x80004005 === Logging stopped: 2013/09/04 16:29:51 === If I run command locally at the server - all works fine. Start-Process -FilePath "C:\temp\dotnetfx45_full_x86_x64.exe" ` -ArgumentList "/q /norestart" -Wait

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Can an installation of SSRS be used for other reports if the SCOM Reporting Role is installed?

- by Pete Davis

I'm currently in the process of planing a SCOM 2007 R2 deployment and would like to deploy the OperationsManagerDW and Reporting Server to a shared SQL 2008 cluster which is used for reporting across multiple solutions. However in the in the deployment guide for SCOM 2007 R2 it says: Due to changes that the Operations Manager 2007 Reporting component makes to SQL Server Reporting Services security, no other applications that make use of SQL Server Reporting Services can be installed on this server. Which concerns me that it may interfere with existing or future (non SCOM) reports in some way even if deployed as a separate SSRS instance. Later in the same guide it states: Installing Operations Manager 2007 Reporting Services integrates the security of the instance of SQL Reporting Services with the Operations Manager role-based security. Do not install any other Reporting Services applications in this same instance of SQL Server. Does this mean that I can install a new SSRS instance and use this on the shared cluster for SCOM reporting or that I'd also need to create a whole new SQL Server instance as well as SSRS instance or I'd need a whole separate server for SCOM OperationsManagerDW and Reporitng Server?

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Parallel prologue and epilogue in Grid Engine

- by ajdecon

We have a cluster being used to run MPI jobs for a customer. Previously this cluster used Torque as the scheduler, but we are transitioning to Grid Engine 6.2u5 (for some other features). Unfortunately, we are having trouble duplicating some of our maintenance scripts in the Grid Engine environment. In Torque, we have a prologue.parallel script which is used to carry out an automated health-check on the node. If this script returns a fail condition, Torque will helpfully offline the node and re-queue the job to use a different group of nodes. In Grid Engine, however, the queue "prolog" only runs on the head node of the job. We can manually run our prologue script from the startmpi.sh initialization script, for the mpi parallel environment; but I can't figure out how to detect a fail condition and carry out the same "mark offline and requeue" procedure. Any suggestions?

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