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  • AMD-V is not enable in virtualbox in amd APU

    - by shantanu
    I am running Dual core AMD E450 APU. When i tried to run a 64-bit OS that requires hardware virtualization using virtual-box it showed me an error "AMD-V is not enable". My AMD processor should provide AMD-V support. And i can find no option for AMD-V in BIOS. How can i solve this problem? How could i enable AMD-V for my APU? Thanks in advance lscpu :- Architecture: x86_64 CPU op-mode(s): 32-bit, 64-bit Byte Order: Little Endian CPU(s): 2 On-line CPU(s) list: 0,1 Thread(s) per core: 1 Core(s) per socket: 2 Socket(s): 1 NUMA node(s): 1 Vendor ID: AuthenticAMD CPU family: 20 Model: 2 Stepping: 0 CPU MHz: 1650.000 BogoMIPS: 3291.72 Virtualization: AMD-V L1d cache: 32K L1i cache: 32K L2 cache: 512K NUMA node0 CPU(s): 0,1 EDITED:- Error of virtualBOX:- Failed to open a session for the virtual machine XXX. AMD-V is disabled in the BIOS. (VERR_SVM_DISABLED). Result Code: NS_ERROR_FAILURE (0x80004005) Component: Console Interface: IConsole {1968b7d3-e3bf-4ceb-99e0-cb7c913317bb}

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  • Troubleshooting Application Timeouts in SQL Server

    - by Tara Kizer
    I recently received the following email from a blog reader: "We are having an OLTP database instance, using SQL Server 2005 with little to moderate traffic (10-20 requests/min). There are also bulk imports that occur at regular intervals in this DB and the import duration ranges between 10secs to 1 min, depending on the data size. Intermittently (2-3 times in a week), we face an issue, where queries get timed out (default of 30 secs set in application). On analyzing, we found two stored procedures, having queries with multiple table joins inside them of taking a long time (5-10 mins) in getting executed, when ideally the execution duration ranges between 5-10 secs. Execution plan of the same displayed Clustered Index Scan happening instead of Clustered Index Seek. All required Indexes are found to be present and Index fragmentation is also minimal as we Rebuild Indexes regularly alongwith Updating Statistics. With no other alternate options occuring to us, we restarted SQL server and thereafter the performance was back on track. But sometimes it was still giving timeout errors for some hits and so we also restarted IIS and that stopped the problem as of now." Rather than respond directly to the blog reader, I thought it would be more interesting to share my thoughts on this issue in a blog. There are a few things that I can think of that could cause abnormal timeouts: Blocking Bad plan in cache Outdated statistics Hardware bottleneck To determine if blocking is the issue, we can easily run sp_who/sp_who2 or a query directly on sysprocesses (select * from master..sysprocesses where blocking <> 0).  If blocking is present and consistent, then you'll need to determine whether or not to kill the parent blocking process.  Killing a process will cause the transaction to rollback, so you need to proceed with caution.  Killing the parent blocking process is only a temporary solution, so you'll need to do more thorough analysis to figure out why the blocking was present.  You should look into missing indexes and perhaps consider changing the database's isolation level to READ_COMMITTED_SNAPSHOT. The blog reader mentions that the execution plan shows a clustered index scan when a clustered index seek is normal for the stored procedure.  A clustered index scan might have been chosen either because that is what is in cache already or because of out of date statistics.  The blog reader mentions that bulk imports occur at regular intervals, so outdated statistics is definitely something that could cause this issue.  The blog reader may need to update statistics after imports are done if the imports are changing a lot of data (greater than 10%).  If the statistics are good, then the query optimizer might have chosen to scan rather than seek in a previous execution because the scan was determined to be less costly due to the value of an input parameter.  If this parameter value is rare, then its execution plan in cache is what we call a bad plan.  You want the best plan in cache for the most frequent parameter values.  If a bad plan is a recurring problem on your system, then you should consider rewriting the stored procedure.  You might want to break up the code into multiple stored procedures so that each can have a different execution plan in cache. To remove a bad plan from cache, you can recompile the stored procedure.  An alternative method is to run DBCC FREEPROCACHE which drops the procedure cache.  It is better to recompile stored procedures rather than dropping the procedure cache as dropping the procedure cache affects all plans in cache rather than just the ones that were bad, so there will be a temporary performance penalty until the plans are loaded into cache again. To determine if there is a hardware bottleneck occurring such as slow I/O or high CPU utilization, you will need to run Performance Monitor on the database server.  Hopefully you already have a baseline of the server so you know what is normal and what is not.  Be on the lookout for I/O requests taking longer than 12 milliseconds and CPU utilization over 90%.  The servers that I support typically are under 30% CPU utilization, but your baseline could be higher and be within a normal range. If restarting the SQL Server service fixes the problem, then the problem was most likely due to blocking or a bad plan in the procedure cache.  Rather than restarting the SQL Server service, which causes downtime, the blog reader should instead analyze the above mentioned things.  Proceed with caution when restarting the SQL Server service as all transactions that have not completed will be rolled back at startup.  This crash recovery process could take longer than normal if there was a long-running transaction running when the service was stopped.  Until the crash recovery process is completed on the database, it is unavailable to your applications. If restarting IIS fixes the problem, then the problem might not have been inside SQL Server.  Prior to taking this step, you should do analysis of the above mentioned things. If you can think of other reasons why the blog reader is facing this issue a few times a week, I'd love to hear your thoughts via a blog comment.

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  • Useful Tips for BizTalk 2006 to BizTalk 2009 Porting

    - by Arvind Chaudhary
    BizTalk projects require some manual intervention in order to upgrade them. Execute the following steps to port a BizTalk solution / project: Open the project’s solution file (.sln) using a text editor – NotePad++ is recommended. Remove all the contents (in red below) between (not including) the following elements: GlobalSection(ProjectConfigurationPlatforms) = postSolution           {5C48CB6B-AE6F-4288-A8EE-46E352BB730C}.Debug|.NET.ActiveCfg = Debug|Any CPU           {5C48CB6B-AE6F-4288-A8EE-46E352BB730C}.Debug|.NET.Build.0 = Debug|Any CPU           {5C48CB6B-AE6F-4288-A8EE-46E352BB730C}.Debug|Any CPU.ActiveCfg = Debug|Any CPU           {5C48CB6B-AE6F-4288-A8EE-46E352BB730C}.Debug|Any CPU.Build.0 = Debug|Any CPU           … EndGlobalSection           You should see the following once you have removed the contents:      GlobalSection(ProjectConfigurationPlatforms) = postSolution                EndGlobalSection            Note: There should not be any   For each BizTalk project (.btproj) in the solution (.sln) find and replace the following in the .btproj file: ‘Name = “Debug”’ with ‘Name = “Development”’ ‘Name = “Release”’ with ‘Name = “Deployment”’ “bin\Debug” with “bin\Development” “bin\Release” with “bin\Deployment” Save the file.

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  • Is there a Generic USB TouchScreen Driver 12.04?

    - by lbjoum
    Is there a Generic USB TouchScreen Driver 12.04? Device 03eb:201c I've been looking for 4 days solid (not very skilled) and can't find a solution. I have a generic tablet: C97- Atom N2600 9.7" 2GB 32GB Bluetooth WiFi WebCam Ext.3G Windows 7 Tablet PC Using 12.04 and cannot find a driver. I installed android and the touchscreen works but still lots of other bugs. Oh well, stuck with Windows 7 and not happy about it. Will keep trying, but too much time wasted already. If you have a solution I would love to try it. ubuntu@ubuntu:~$ lsusb Bus 001 Device 001: ID 1d6b:0002 Linux Foundation 2.0 root hub Bus 002 Device 001: ID 1d6b:0001 Linux Foundation 1.1 root hub Bus 003 Device 001: ID 1d6b:0001 Linux Foundation 1.1 root hub Bus 004 Device 001: ID 1d6b:0001 Linux Foundation 1.1 root hub Bus 005 Device 001: ID 1d6b:0001 Linux Foundation 1.1 root hub Bus 001 Device 002: ID 0cf2:6238 ENE Technology, Inc. Bus 001 Device 003: ID 1a40:0101 Terminus Technology Inc. 4-Port HUB Bus 001 Device 005: ID 05e1:0100 Syntek Semiconductor Co., Ltd 802.11g + Bluetooth Wireless Adapter Bus 001 Device 006: ID 090c:3731 Silicon Motion, Inc. - Taiwan (formerly Feiya Technology Corp.) Bus 003 Device 002: ID 03eb:201c Atmel Corp. at90usbkey sample firmware (HID mouse) (from Windows: HID\VID_03EB&PID_201C\6&5F38127&0&0000 USB\VID_03EB&PID_201C\5&193ADADC&1&2 ) Bus 001 Device 007: ID 0518:0001 EzKEY Corp. USB to PS2 Adaptor v1.09 Bus 001 Device 008: ID 192f:0916 Avago Technologies, Pte. ubuntu@ubuntu:~$ sudo lsusb -v Bus 003 Device 002: ID 03eb:201c Atmel Corp. at90usbkey sample firmware (HID mouse) Device Descriptor: bLength 18 bDescriptorType 1 bcdUSB 2.00 bDeviceClass 0 (Defined at Interface level) bDeviceSubClass 0 bDeviceProtocol 0 bMaxPacketSize0 32 idVendor 0x03eb Atmel Corp. idProduct 0x201c at90usbkey sample firmware (HID mouse) bcdDevice 45.a2 iManufacturer 1 CDT iProduct 2 9.75 iSerial 0 bNumConfigurations 1 Configuration Descriptor: bLength 9 bDescriptorType 2 wTotalLength 34 bNumInterfaces 1 bConfigurationValue 1 iConfiguration 0 bmAttributes 0x00 (Missing must-be-set bit!) (Bus Powered) MaxPower 100mA Interface Descriptor: bLength 9 bDescriptorType 4 bInterfaceNumber 0 bAlternateSetting 0 bNumEndpoints 1 bInterfaceClass 3 Human Interface Device bInterfaceSubClass 0 No Subclass bInterfaceProtocol 0 None iInterface 0 HID Device Descriptor: bLength 9 bDescriptorType 33 bcdHID 1.11 bCountryCode 0 Not supported bNumDescriptors 1 bDescriptorType 34 Report wDescriptorLength 177 Report Descriptors: ** UNAVAILABLE ** Endpoint Descriptor: bLength 7 bDescriptorType 5 bEndpointAddress 0x81 EP 1 IN bmAttributes 3 Transfer Type Interrupt Synch Type None Usage Type Data wMaxPacketSize 0x0020 1x 32 bytes bInterval 5 Device Status: 0x00fb Self Powered Remote Wakeup Enabled Debug Mode ubuntu@ubuntu:~$ sudo lshw ubuntu description: Notebook product: To be filled by O.E.M. (To be filled by O.E.M.) vendor: To be filled by O.E.M. version: To be filled by O.E.M. serial: To be filled by O.E.M. width: 32 bits capabilities: smbios-2.7 dmi-2.7 smp-1.4 smp configuration: boot=normal chassis=notebook cpus=2 family=To be filled by O.E.M. sku=To be filled by O.E.M. uuid=00020003-0004-0005-0006-000700080009 *-core description: Motherboard product: Tiger Hill vendor: INTEL Corporation physical id: 0 version: To be filled by O.E.M. serial: To be filled by O.E.M. slot: To be filled by O.E.M. *-firmware description: BIOS vendor: American Megatrends Inc. physical id: 0 version: 4.6.5 date: 08/24/2012 size: 64KiB capacity: 960KiB capabilities: pci upgrade shadowing cdboot bootselect socketedrom edd int13floppy1200 int13floppy720 int13floppy2880 int5printscreen int9keyboard int14serial int17printer acpi usb biosbootspecification *-cpu:0 description: CPU product: Intel(R) Atom(TM) CPU N2600 @ 1.60GHz vendor: Intel Corp. physical id: 4 bus info: cpu@0 version: 6.6.1 serial: 0003-0661-0000-0000-0000-0000 slot: CPU 1 size: 1600MHz capacity: 1600MHz width: 64 bits clock: 400MHz capabilities: x86-64 boot fpu fpu_exception wp vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe nx constant_tsc arch_perfmon pebs bts nonstop_tsc aperfmperf pni dtes64 monitor ds_cpl est tm2 ssse3 cx16 xtpr pdcm movbe lahf_lm arat configuration: cores=2 enabledcores=1 id=2 threads=2 *-cache:0 description: L1 cache physical id: 5 slot: L1-Cache size: 24KiB capacity: 24KiB capabilities: internal write-back unified *-cache:1 description: L2 cache physical id: 6 slot: L2-Cache size: 512KiB capacity: 512KiB capabilities: internal varies unified *-logicalcpu:0 description: Logical CPU physical id: 2.1 width: 64 bits capabilities: logical *-logicalcpu:1 description: Logical CPU physical id: 2.2 width: 64 bits capabilities: logical *-logicalcpu:2 description: Logical CPU physical id: 2.3 width: 64 bits capabilities: logical *-logicalcpu:3 description: Logical CPU physical id: 2.4 width: 64 bits capabilities: logical *-memory description: System Memory physical id: 28 slot: System board or motherboard size: 2GiB *-bank:0 description: SODIMM [empty] product: [Empty] vendor: [Empty] physical id: 0 serial: [Empty] slot: DIMM0 *-bank:1 description: SODIMM DDR3 Synchronous 800 MHz (1.2 ns) vendor: 69 physical id: 1 serial: 00000210 slot: DIMM1 size: 2GiB width: 64 bits clock: 800MHz (1.2ns) *-cpu:1 physical id: 1 bus info: cpu@1 version: 6.6.1 serial: 0003-0661-0000-0000-0000-0000 size: 1600MHz capabilities: ht configuration: id=2 *-logicalcpu:0 description: Logical CPU physical id: 2.1 capabilities: logical *-logicalcpu:1 description: Logical CPU physical id: 2.2 capabilities: logical *-logicalcpu:2 description: Logical CPU physical id: 2.3 capabilities: logical *-logicalcpu:3 description: Logical CPU physical id: 2.4 capabilities: logical *-pci description: Host bridge product: Atom Processor D2xxx/N2xxx DRAM Controller vendor: Intel Corporation physical id: 100 bus info: pci@0000:00:00.0 version: 03 width: 32 bits clock: 33MHz *-display UNCLAIMED description: VGA compatible controller product: Atom Processor D2xxx/N2xxx Integrated Graphics Controller vendor: Intel Corporation physical id: 2 bus info: pci@0000:00:02.0 version: 09 width: 32 bits clock: 33MHz capabilities: pm msi vga_controller bus_master cap_list configuration: latency=0 resources: memory:dfe00000-dfefffff ioport:f100(size=8) *-multimedia description: Audio device product: N10/ICH 7 Family High Definition Audio Controller vendor: Intel Corporation physical id: 1b bus info: pci@0000:00:1b.0 version: 02 width: 64 bits clock: 33MHz capabilities: pm msi pciexpress bus_master cap_list configuration: driver=snd_hda_intel latency=0 resources: irq:42 memory:dff00000-dff03fff *-pci:0 description: PCI bridge product: N10/ICH 7 Family PCI Express Port 1 vendor: Intel Corporation physical id: 1c bus info: pci@0000:00:1c.0 version: 02 width: 32 bits clock: 33MHz capabilities: pci pciexpress msi pm normal_decode bus_master cap_list configuration: driver=pcieport resources: irq:40 ioport:2000(size=4096) memory:80000000-801fffff ioport:80200000(size=2097152) *-usb:0 description: USB controller product: N10/ICH 7 Family USB UHCI Controller #1 vendor: Intel Corporation physical id: 1d bus info: pci@0000:00:1d.0 version: 02 width: 32 bits clock: 33MHz capabilities: uhci bus_master configuration: driver=uhci_hcd latency=0 resources: irq:23 ioport:f0a0(size=32) *-usb:1 description: USB controller product: N10/ICH 7 Family USB UHCI Controller #2 vendor: Intel Corporation physical id: 1d.1 bus info: pci@0000:00:1d.1 version: 02 width: 32 bits clock: 33MHz capabilities: uhci bus_master configuration: driver=uhci_hcd latency=0 resources: irq:19 ioport:f080(size=32) *-usb:2 description: USB controller product: N10/ICH 7 Family USB UHCI Controller #3 vendor: Intel Corporation physical id: 1d.2 bus info: pci@0000:00:1d.2 version: 02 width: 32 bits clock: 33MHz capabilities: uhci bus_master configuration: driver=uhci_hcd latency=0 resources: irq:18 ioport:f060(size=32) *-usb:3 description: USB controller product: N10/ICH 7 Family USB UHCI Controller #4 vendor: Intel Corporation physical id: 1d.3 bus info: pci@0000:00:1d.3 version: 02 width: 32 bits clock: 33MHz capabilities: uhci bus_master configuration: driver=uhci_hcd latency=0 resources: irq:16 ioport:f040(size=32) *-usb:4 description: USB controller product: N10/ICH 7 Family USB2 EHCI Controller vendor: Intel Corporation physical id: 1d.7 bus info: pci@0000:00:1d.7 version: 02 width: 32 bits clock: 33MHz capabilities: pm debug ehci bus_master cap_list configuration: driver=ehci_hcd latency=0 resources: irq:23 memory:dff05000-dff053ff *-pci:1 description: PCI bridge product: 82801 Mobile PCI Bridge vendor: Intel Corporation physical id: 1e bus info: pci@0000:00:1e.0 version: e2 width: 32 bits clock: 33MHz capabilities: pci subtractive_decode bus_master cap_list *-isa description: ISA bridge product: NM10 Family LPC Controller vendor: Intel Corporation physical id: 1f bus info: pci@0000:00:1f.0 version: 02 width: 32 bits clock: 33MHz capabilities: isa bus_master cap_list configuration: latency=0 *-storage description: SATA controller product: N10/ICH7 Family SATA Controller [AHCI mode] vendor: Intel Corporation physical id: 1f.2 bus info: pci@0000:00:1f.2 logical name: scsi0 version: 02 width: 32 bits clock: 66MHz capabilities: storage msi pm ahci_1.0 bus_master cap_list emulated configuration: driver=ahci latency=0 resources: irq:41 ioport:f0f0(size=8) ioport:f0e0(size=4) ioport:f0d0(size=8) ioport:f0c0(size=4) ioport:f020(size=16) memory:dff04000-dff043ff *-disk description: ATA Disk product: BIWIN SSD physical id: 0.0.0 bus info: scsi@0:0.0.0 logical name: /dev/sda version: 1206 serial: 123403501060 size: 29GiB (32GB) capabilities: partitioned partitioned:dos configuration: ansiversion=5 signature=8fbe402b *-volume:0 description: Windows NTFS volume physical id: 1 bus info: scsi@0:0.0.0,1 logical name: /dev/sda1 version: 3.1 serial: 249bde5d-8246-9a40-88c7-2d5e3bcaf692 size: 19GiB capacity: 19GiB capabilities: primary bootable ntfs initialized configuration: clustersize=4096 created=2011-04-04 02:27:51 filesystem=ntfs state=clean *-volume:1 description: Windows NTFS volume physical id: 2 bus info: scsi@0:0.0.0,2 logical name: /dev/sda2 version: 3.1 serial: de12d40f-d5ca-8642-b306-acd9349fda1a size: 10231MiB capacity: 10GiB capabilities: primary ntfs initialized configuration: clustersize=4096 created=2011-04-04 01:52:26 filesystem=ntfs state=clean *-serial UNCLAIMED description: SMBus product: N10/ICH 7 Family SMBus Controller vendor: Intel Corporation physical id: 1f.3 bus info: pci@0000:00:1f.3 version: 02 width: 32 bits clock: 33MHz configuration: latency=0 resources: ioport:f000(size=32) *-scsi:0 physical id: 2 bus info: usb@1:1 logical name: scsi4 capabilities: emulated scsi-host configuration: driver=usb-storage *-disk description: SCSI Disk physical id: 0.0.0 bus info: scsi@4:0.0.0 logical name: /dev/sdb size: 29GiB (31GB) capabilities: partitioned partitioned:dos configuration: signature=00017463 *-volume description: Windows FAT volume vendor: mkdosfs physical id: 1 bus info: scsi@4:0.0.0,1 logical name: /dev/sdb1 logical name: /cdrom version: FAT32 serial: 129b-4f87 size: 29GiB capacity: 29GiB capabilities: primary bootable fat initialized configuration: FATs=2 filesystem=fat mount.fstype=vfat mount.options=rw,relatime,fmask=0022,dmask=0022,codepage=cp437,iocharset=iso8859-1,shortname=mixed,errors=remount-ro state=mounted *-scsi:1 physical id: 3 bus info: usb@1:3.1 logical name: scsi6 capabilities: emulated scsi-host configuration: driver=usb-storage *-disk description: SCSI Disk physical id: 0.0.0 bus info: scsi@6:0.0.0 logical name: /dev/sdc size: 7400MiB (7759MB) capabilities: partitioned partitioned:dos configuration: signature=c3072e18 *-volume description: Windows FAT volume vendor: mkdosfs physical id: 1 bus info: scsi@6:0.0.0,1 logical name: /dev/sdc1 logical name: /media/JOUM8G version: FAT32 serial: e676-9311 size: 7394MiB capacity: 7394MiB capabilities: primary bootable fat initialized configuration: FATs=2 filesystem=fat label=Android mount.fstype=vfat mount.options=rw,nosuid,nodev,relatime,uid=999,gid=999,fmask=0022,dmask=0077,codepage=cp437,iocharset=iso8859-1,shortname=mixed,showexec,utf8,flush,errors=remount-ro state=mounted ubuntu@ubuntu:~$ ubuntu@ubuntu:~$ xinput list ? Virtual core pointer id=2 [master pointer (3)] ? ? Virtual core XTEST pointer id=4 [slave pointer (2)] ? ? Plus More Enterprise LTD. USB-compliant keyboard id=10 [slave pointer (2)] ? ? USB Optical Mouse id=11 [slave pointer (2)] ? Virtual core keyboard id=3 [master keyboard (2)] ? Virtual core XTEST keyboard id=5 [slave keyboard (3)] ? Power Button id=6 [slave keyboard (3)] ? Power Button id=7 [slave keyboard (3)] ? Sleep Button id=8 [slave keyboard (3)] ? Plus More Enterprise LTD. USB-compliant keyboard id=9 [slave keyboard (3)] ? USB 2.0 Webcam - Front id=12 [slave keyboard (3)] ? AT Translated Set 2 keyboard id=13 [slave keyboard (3)] ubuntu@ubuntu:~$

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  • Mysql performance problem & Failed DIMM

    - by murdoch
    Hi I have a dedicated mysql database server which has been having some performance problems recently, under normal load the server will be running fine, then suddenly out of the blue the performance will fall off a cliff. The server isn't using the swap file and there is 12GB of RAM in the server, more than enough for its needs. After contacting my hosting comapnies support they have discovered that there is a failed 2GB DIMM in the server and have scheduled to replace it tomorow morning. My question is could a failed DIMM result in the performance problems I am seeing or is this just coincidence? My worry is that they will replace the ram tomorrow but the problems will persist and I will still be lost of explanations so I am just trying to think ahead. The reason I ask is that there is plenty of RAM in the server, more than required and simply missing 2GB should be a problem, so if this failed DIMM is causing these performance problems then the OS must be trying to access the failed DIMM and slowing down as a result. Does that sound like a credible explanation? This is what DELLs omreport program says about the RAM, notice one dimm is "Critical" Memory Information Health : Critical Memory Operating Mode Fail Over State : Inactive Memory Operating Mode Configuration : Optimizer Attributes of Memory Array(s) Attributes : Location Memory Array 1 : System Board or Motherboard Attributes : Use Memory Array 1 : System Memory Attributes : Installed Capacity Memory Array 1 : 12288 MB Attributes : Maximum Capacity Memory Array 1 : 196608 MB Attributes : Slots Available Memory Array 1 : 18 Attributes : Slots Used Memory Array 1 : 6 Attributes : ECC Type Memory Array 1 : Multibit ECC Total of Memory Array(s) Attributes : Total Installed Capacity Value : 12288 MB Attributes : Total Installed Capacity Available to the OS Value : 12004 MB Attributes : Total Maximum Capacity Value : 196608 MB Details of Memory Array 1 Index : 0 Status : Ok Connector Name : DIMM_A1 Type : DDR3-Registered Size : 2048 MB Index : 1 Status : Ok Connector Name : DIMM_A2 Type : DDR3-Registered Size : 2048 MB Index : 2 Status : Ok Connector Name : DIMM_A3 Type : DDR3-Registered Size : 2048 MB Index : 3 Status : Critical Connector Name : DIMM_B1 Type : DDR3-Registered Size : 2048 MB Index : 4 Status : Ok Connector Name : DIMM_B2 Type : DDR3-Registered Size : 2048 MB Index : 5 Status : Ok Connector Name : DIMM_B3 Type : DDR3-Registered Size : 2048 MB the command free -m shows this, the server seems to be using more than 10GB of ram which would suggest it is trying to use the DIMM total used free shared buffers cached Mem: 12004 10766 1238 0 384 4809 -/+ buffers/cache: 5572 6432 Swap: 2047 0 2047 iostat output while problem is occuring avg-cpu: %user %nice %system %iowait %steal %idle 52.82 0.00 11.01 0.00 0.00 36.17 Device: tps Blk_read/s Blk_wrtn/s Blk_read Blk_wrtn sda 47.00 0.00 576.00 0 576 sda1 0.00 0.00 0.00 0 0 sda2 1.00 0.00 32.00 0 32 sda3 0.00 0.00 0.00 0 0 sda4 0.00 0.00 0.00 0 0 sda5 46.00 0.00 544.00 0 544 avg-cpu: %user %nice %system %iowait %steal %idle 53.12 0.00 7.81 0.00 0.00 39.06 Device: tps Blk_read/s Blk_wrtn/s Blk_read Blk_wrtn sda 49.00 0.00 592.00 0 592 sda1 0.00 0.00 0.00 0 0 sda2 0.00 0.00 0.00 0 0 sda3 0.00 0.00 0.00 0 0 sda4 0.00 0.00 0.00 0 0 sda5 49.00 0.00 592.00 0 592 avg-cpu: %user %nice %system %iowait %steal %idle 56.09 0.00 7.43 0.37 0.00 36.10 Device: tps Blk_read/s Blk_wrtn/s Blk_read Blk_wrtn sda 232.00 0.00 64520.00 0 64520 sda1 0.00 0.00 0.00 0 0 sda2 159.00 0.00 63728.00 0 63728 sda3 0.00 0.00 0.00 0 0 sda4 0.00 0.00 0.00 0 0 sda5 73.00 0.00 792.00 0 792 avg-cpu: %user %nice %system %iowait %steal %idle 52.18 0.00 9.24 0.06 0.00 38.51 Device: tps Blk_read/s Blk_wrtn/s Blk_read Blk_wrtn sda 49.00 0.00 600.00 0 600 sda1 0.00 0.00 0.00 0 0 sda2 0.00 0.00 0.00 0 0 sda3 0.00 0.00 0.00 0 0 sda4 0.00 0.00 0.00 0 0 sda5 49.00 0.00 600.00 0 600 avg-cpu: %user %nice %system %iowait %steal %idle 54.82 0.00 8.64 0.00 0.00 36.55 Device: tps Blk_read/s Blk_wrtn/s Blk_read Blk_wrtn sda 100.00 0.00 2168.00 0 2168 sda1 0.00 0.00 0.00 0 0 sda2 0.00 0.00 0.00 0 0 sda3 0.00 0.00 0.00 0 0 sda4 0.00 0.00 0.00 0 0 sda5 100.00 0.00 2168.00 0 2168 avg-cpu: %user %nice %system %iowait %steal %idle 54.78 0.00 6.75 0.00 0.00 38.48 Device: tps Blk_read/s Blk_wrtn/s Blk_read Blk_wrtn sda 84.00 0.00 896.00 0 896 sda1 0.00 0.00 0.00 0 0 sda2 0.00 0.00 0.00 0 0 sda3 0.00 0.00 0.00 0 0 sda4 0.00 0.00 0.00 0 0 sda5 84.00 0.00 896.00 0 896 avg-cpu: %user %nice %system %iowait %steal %idle 54.34 0.00 7.31 0.00 0.00 38.35 Device: tps Blk_read/s Blk_wrtn/s Blk_read Blk_wrtn sda 81.00 0.00 840.00 0 840 sda1 0.00 0.00 0.00 0 0 sda2 0.00 0.00 0.00 0 0 sda3 0.00 0.00 0.00 0 0 sda4 0.00 0.00 0.00 0 0 sda5 81.00 0.00 840.00 0 840 avg-cpu: %user %nice %system %iowait %steal %idle 55.18 0.00 5.81 0.44 0.00 38.58 Device: tps Blk_read/s Blk_wrtn/s Blk_read Blk_wrtn sda 317.00 0.00 105632.00 0 105632 sda1 0.00 0.00 0.00 0 0 sda2 224.00 0.00 104672.00 0 104672 sda3 0.00 0.00 0.00 0 0 sda4 0.00 0.00 0.00 0 0 sda5 93.00 0.00 960.00 0 960 avg-cpu: %user %nice %system %iowait %steal %idle 55.38 0.00 7.63 0.00 0.00 36.98 Device: tps Blk_read/s Blk_wrtn/s Blk_read Blk_wrtn sda 74.00 0.00 800.00 0 800 sda1 0.00 0.00 0.00 0 0 sda2 0.00 0.00 0.00 0 0 sda3 0.00 0.00 0.00 0 0 sda4 0.00 0.00 0.00 0 0 sda5 74.00 0.00 800.00 0 800 avg-cpu: %user %nice %system %iowait %steal %idle 56.43 0.00 7.80 0.00 0.00 35.77 Device: tps Blk_read/s Blk_wrtn/s Blk_read Blk_wrtn sda 72.00 0.00 784.00 0 784 sda1 0.00 0.00 0.00 0 0 sda2 0.00 0.00 0.00 0 0 sda3 0.00 0.00 0.00 0 0 sda4 0.00 0.00 0.00 0 0 sda5 72.00 0.00 784.00 0 784 avg-cpu: %user %nice %system %iowait %steal %idle 54.87 0.00 6.49 0.00 0.00 38.64 Device: tps Blk_read/s Blk_wrtn/s Blk_read Blk_wrtn sda 80.20 0.00 855.45 0 864 sda1 0.00 0.00 0.00 0 0 sda2 0.00 0.00 0.00 0 0 sda3 0.00 0.00 0.00 0 0 sda4 0.00 0.00 0.00 0 0 sda5 80.20 0.00 855.45 0 864 avg-cpu: %user %nice %system %iowait %steal %idle 57.22 0.00 5.69 0.00 0.00 37.09 Device: tps Blk_read/s Blk_wrtn/s Blk_read Blk_wrtn sda 33.00 0.00 432.00 0 432 sda1 0.00 0.00 0.00 0 0 sda2 0.00 0.00 0.00 0 0 sda3 0.00 0.00 0.00 0 0 sda4 0.00 0.00 0.00 0 0 sda5 33.00 0.00 432.00 0 432 avg-cpu: %user %nice %system %iowait %steal %idle 56.03 0.00 7.93 0.00 0.00 36.04 Device: tps Blk_read/s Blk_wrtn/s Blk_read Blk_wrtn sda 41.00 0.00 560.00 0 560 sda1 0.00 0.00 0.00 0 0 sda2 2.00 0.00 88.00 0 88 sda3 0.00 0.00 0.00 0 0 sda4 0.00 0.00 0.00 0 0 sda5 39.00 0.00 472.00 0 472 avg-cpu: %user %nice %system %iowait %steal %idle 55.78 0.00 5.13 0.00 0.00 39.09 Device: tps Blk_read/s Blk_wrtn/s Blk_read Blk_wrtn sda 29.00 0.00 392.00 0 392 sda1 0.00 0.00 0.00 0 0 sda2 0.00 0.00 0.00 0 0 sda3 0.00 0.00 0.00 0 0 sda4 0.00 0.00 0.00 0 0 sda5 29.00 0.00 392.00 0 392 avg-cpu: %user %nice %system %iowait %steal %idle 53.68 0.00 8.30 0.06 0.00 37.95 Device: tps Blk_read/s Blk_wrtn/s Blk_read Blk_wrtn sda 78.00 0.00 4280.00 0 4280 sda1 0.00 0.00 0.00 0 0 sda2 0.00 0.00 0.00 0 0 sda3 0.00 0.00 0.00 0 0 sda4 0.00 0.00 0.00 0 0 sda5 78.00 0.00 4280.00 0 4280

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  • Caching items in Orchard

    - by Bertrand Le Roy
    Orchard has its own caching API that while built on top of ASP.NET's caching feature adds a couple of interesting twists. In addition to its usual work, the Orchard cache API must transparently separate the cache entries by tenant but beyond that, it does offer a more modern API. Here's for example how I'm using the API in the new version of my Favicon module: _cacheManager.Get( "Vandelay.Favicon.Url", ctx => { ctx.Monitor(_signals.When("Vandelay.Favicon.Changed")); var faviconSettings = ...; return faviconSettings.FaviconUrl; }); .csharpcode, .csharpcode pre { font-size: small; color: black; font-family: consolas, "Courier New", courier, monospace; background-color: #ffffff; /*white-space: pre;*/ } .csharpcode pre { margin: 0em; } .csharpcode .rem { color: #008000; } .csharpcode .kwrd { color: #0000ff; } .csharpcode .str { color: #006080; } .csharpcode .op { color: #0000c0; } .csharpcode .preproc { color: #cc6633; } .csharpcode .asp { background-color: #ffff00; } .csharpcode .html { color: #800000; } .csharpcode .attr { color: #ff0000; } .csharpcode .alt { background-color: #f4f4f4; width: 100%; margin: 0em; } .csharpcode .lnum { color: #606060; } There is no need for any code to test for the existence of the cache entry or to later fill that entry. Seriously, how many times have you written code like this: var faviconUrl = (string)cache["Vandelay.Favicon.Url"]; if (faviconUrl == null) { faviconUrl = ...; cache.Add("Vandelay.Favicon.Url", faviconUrl, ...); } Orchard's cache API takes that control flow and internalizes it into the API so that you never have to write it again. Notice how even casting the object from the cache is no longer necessary as the type can be inferred from the return type of the Lambda. The Lambda itself is of course only hit when the cache entry is not found. In addition to fetching the object we're looking for, it also sets up the dependencies to monitor. You can monitor anything that implements IVolatileToken. Here, we are monitoring a specific signal ("Vandelay.Favicon.Changed") that can be triggered by other parts of the application like so: _signals.Trigger("Vandelay.Favicon.Changed"); In other words, you don't explicitly expire the cache entry. Instead, something happens that triggers the expiration. Other implementations of IVolatileToken include absolute expiration or monitoring of the files under a virtual path, but you can also come up with your own.

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  • Page allocation failures on iSCSI storage

    - by Dave
    We have a CentOS 6.3 iscsi server (16GB RAM) running on Infiniband bus (ipoib). When the load is high I can see multiple errors: Sep 3 23:22:20 stor4 kernel: tgtd: page allocation failure. order:2, mode:0x20 Sep 3 23:22:20 stor4 kernel: Pid: 3637, comm: tgtd Not tainted 2.6.32 #1 Sep 3 23:22:20 stor4 kernel: Call Trace: Sep 3 23:22:20 stor4 kernel: [] ? __alloc_pages_nodemask+0x77f/0x940 Sep 3 23:22:20 stor4 kernel: [] ? kmem_getpages+0x62/0x170 Sep 3 23:22:20 stor4 kernel: [] ? fallback_alloc+0x1ba/0x270 Sep 3 23:22:20 stor4 kernel: [] ? cache_grow+0x2cf/0x320 Sep 3 23:22:20 stor4 kernel: [] ? ____cache_alloc_node+0x99/0x160 Sep 3 23:22:20 stor4 kernel: [] ? pskb_expand_head+0x64/0x270 Sep 3 23:22:20 stor4 kernel: [] ? __kmalloc+0x189/0x220 Sep 3 23:22:20 stor4 kernel: [] ? pskb_expand_head+0x64/0x270 Sep 3 23:22:20 stor4 kernel: [] ? __pskb_pull_tail+0x2aa/0x360 Sep 3 23:22:20 stor4 kernel: [] ? tcp_init_tso_segs+0x37/0x50 Sep 3 23:22:20 stor4 kernel: [] ? dev_queue_xmit+0x4bb/0x6f0 Sep 3 23:22:20 stor4 kernel: [] ? neigh_connected_output+0xbd/0x100 Sep 3 23:22:20 stor4 kernel: [] ? ip_finish_output+0x237/0x310 Sep 3 23:22:20 stor4 kernel: [] ? ip_output+0xb8/0xc0 Sep 3 23:22:20 stor4 kernel: [] ? __ip_local_out+0x9f/0xb0 Sep 3 23:22:20 stor4 kernel: [] ? ip_local_out+0x25/0x30 Sep 3 23:22:20 stor4 kernel: [] ? ip_queue_xmit+0x190/0x420 Sep 3 23:22:20 stor4 kernel: [] ? sock_aio_write+0x167/0x180 Sep 3 23:22:20 stor4 kernel: [] ? tcp_transmit_skb+0x3fe/0x7b0 Sep 3 23:22:20 stor4 kernel: [] ? tcp_write_xmit+0x1fb/0xa20 Sep 3 23:22:20 stor4 kernel: [] ? __tcp_push_pending_frames+0x30/0xe0 Sep 3 23:22:20 stor4 kernel: [] ? tcp_push_pending_frames+0x33/0x40 Sep 3 23:22:20 stor4 kernel: [] ? do_tcp_setsockopt+0x3d6/0x480 Sep 3 23:22:20 stor4 kernel: [] ? tcp_setsockopt+0x2a/0x30 Sep 3 23:22:20 stor4 kernel: [] ? sock_common_setsockopt+0x14/0x20 Sep 3 23:22:20 stor4 kernel: [] ? sys_setsockopt+0x7f/0xe0 Sep 3 23:22:20 stor4 kernel: [] ? system_call_fastpath+0x16/0x1b Sep 3 23:22:20 stor4 kernel: Mem-Info: Sep 3 23:22:20 stor4 kernel: Node 0 DMA per-cpu: Sep 3 23:22:20 stor4 kernel: CPU 0: hi: 0, btch: 1 usd: 0 Sep 3 23:22:20 stor4 kernel: CPU 1: hi: 0, btch: 1 usd: 0 Sep 3 23:22:20 stor4 kernel: CPU 2: hi: 0, btch: 1 usd: 0 Sep 3 23:22:20 stor4 kernel: CPU 3: hi: 0, btch: 1 usd: 0 Sep 3 23:22:20 stor4 kernel: Node 0 DMA32 per-cpu: Sep 3 23:22:20 stor4 kernel: CPU 0: hi: 186, btch: 31 usd: 183 Sep 3 23:22:20 stor4 kernel: CPU 1: hi: 186, btch: 31 usd: 23 Sep 3 23:22:20 stor4 kernel: CPU 2: hi: 186, btch: 31 usd: 183 Sep 3 23:22:20 stor4 kernel: CPU 3: hi: 186, btch: 31 usd: 181 Sep 3 23:22:20 stor4 kernel: Node 0 Normal per-cpu: Sep 3 23:22:20 stor4 kernel: CPU 0: hi: 186, btch: 31 usd: 171 Sep 3 23:22:20 stor4 kernel: CPU 1: hi: 186, btch: 31 usd: 29 Sep 3 23:22:20 stor4 kernel: CPU 2: hi: 186, btch: 31 usd: 32 Sep 3 23:22:20 stor4 kernel: CPU 3: hi: 186, btch: 31 usd: 32 Sep 3 23:22:20 stor4 kernel: active_anon:1875 inactive_anon:2473 isolated_anon:0 Sep 3 23:22:20 stor4 kernel: active_file:1243637 inactive_file:2505055 isolated_file:0 Sep 3 23:22:20 stor4 kernel: unevictable:0 dirty:268338 writeback:0 unstable:0 Sep 3 23:22:20 stor4 kernel: free:86050 slab_reclaimable:132377 slab_unreclaimable:23744 Sep 3 23:22:20 stor4 kernel: mapped:1293 shmem:222 pagetables:720 bounce:0 Sep 3 23:22:20 stor4 kernel: Node 0 DMA free:15732kB min:124kB low:152kB high:184kB active_anon:0kB inactive_anon:0kB active_file:0kB inactive_file:0kB unevictable:0kB isolated(anon):0kB isolated(file):0kB present:15332kB mlocked:0kB dirty:0kB writeback:0kB mapped:0kB shmem:0kB slab_reclaimable:0kB slab_unreclaimable:0kB kernel_stack:0kB pagetables:0kB unstable:0kB bounce:0kB writeback_tmp:0kB pages_scanned:0 all_unreclaimable? yes Sep 3 23:22:20 stor4 kernel: lowmem_reserve[]: 0 2172 16060 16060 Sep 3 23:22:20 stor4 kernel: Node 0 DMA32 free:107544kB min:18268kB low:22832kB high:27400kB active_anon:468kB inactive_anon:2364kB active_file:566208kB inactive_file:976112kB unevictable:0kB isolated(anon):0kB isolated(file):0kB present:2224900kB mlocked:0kB dirty:96816kB writeback:0kB mapped:908kB shmem:12kB slab_reclaimable:176940kB slab_unreclaimable:968kB kernel_stack:64kB pagetables:192kB unstable:0kB bounce:0kB writeback_tmp:0kB pages_scanned:0 all_unreclaimable? no Sep 3 23:22:20 stor4 kernel: lowmem_reserve[]: 0 0 13887 13887 Sep 3 23:22:20 stor4 kernel: Node 0 Normal free:220924kB min:116772kB low:145964kB high:175156kB active_anon:7032kB inactive_anon:7528kB active_file:4408340kB inactive_file:9044108kB unevictable:0kB isolated(anon):0kB isolated(file):0kB present:14220800kB mlocked:0kB dirty:976536kB writeback:0kB mapped:4264kB shmem:876kB slab_reclaimable:352568kB slab_unreclaimable:94008kB kernel_stack:2048kB pagetables:2688kB unstable:0kB bounce:0kB writeback_tmp:0kB pages_scanned:0 all_unreclaimable? no Sep 3 23:22:20 stor4 kernel: lowmem_reserve[]: 0 0 0 0 Sep 3 23:22:20 stor4 kernel: Node 0 DMA: 1*4kB 0*8kB 1*16kB 1*32kB 1*64kB 0*128kB 1*256kB 0*512kB 1*1024kB 1*2048kB 3*4096kB = 15732kB Sep 3 23:22:20 stor4 kernel: Node 0 DMA32: 16305*4kB 4381*8kB 353*16kB 8*32kB 1*64kB 1*128kB 0*256kB 1*512kB 1*1024kB 0*2048kB 0*4096kB = 107900kB Sep 3 23:22:20 stor4 kernel: Node 0 Normal: 14548*4kB 14808*8kB 2420*16kB 31*32kB 5*64kB 0*128kB 0*256kB 0*512kB 0*1024kB 0*2048kB 1*4096kB = 220784kB Sep 3 23:22:20 stor4 kernel: 3748822 total pagecache pages Sep 3 23:22:20 stor4 kernel: 0 pages in swap cache Sep 3 23:22:20 stor4 kernel: Swap cache stats: add 0, delete 0, find 0/0 Sep 3 23:22:20 stor4 kernel: Free swap = 975864kB Sep 3 23:22:20 stor4 kernel: Total swap = 975864kB Sep 3 23:22:20 stor4 kernel: 4194303 pages RAM Sep 3 23:22:20 stor4 kernel: 126915 pages reserved Sep 3 23:22:20 stor4 kernel: 3753534 pages shared Sep 3 23:22:20 stor4 kernel: 213500 pages non-shared TCP stack and VM config: net.core.rmem_max = 83886080 net.core.wmem_max = 83886080 net.core.rmem_default = 65536 net.core.wmem_default = 65536 net.ipv4.tcp_rmem = 40960 1048560 4194304 net.ipv4.tcp_wmem = 40960 196608 4194304 net.ipv4.tcp_mem = 16388608 16388608 16388608 vm.min_free_kbytes=135168 Additional tweaks: /sbin/blockdev --setra 16384 /dev/sdb echo 2048 /sys/block/sdb/queue/nr_requests Where might the problem be? Thank you.

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  • ?????Exadata????

    - by Liu Maclean(???)
    ??check Exadata Image & OS versions , GI & DB patches sundiag exacheck cellserv ==> imageinfo dbhost ==> /usr/local/bin/imagehistory Also check the version of the switch. Login to Switch and execute the following command [root@myswitch-1 sbin]# version [root@dmorlsw-ib2 sbin]# cd /usr/local/bin [root@dmorlsw-ib2 bin]# ls -lrt version -rwxr-xr-x 1 root root 20356 Apr 4 2011 version Output will look as below. [root@dmorlsw-ib2 ~]# version SUN DCS 36p version: 1.3.3-2 Build time: Apr 4 2011 11:15:19 SP board info: Manufacturing Date: 2009.05.05 Serial Number: "NCD3X0178" Hardware Revision: 0x0006 Firmware Revision: 0x0102 BIOS version: NOW1R112 BIOS date: 04/24/2009 ib8# cat /sys/class/infiniband/is4_0/fw_ver 7.2.300 ib8 # cat /sys/class/dmi/id/bios_version NOW1R112 ib8 # nm2version NM2-36p version: 1.0.1-1 Build time: Sep 14 2009 12:52:51 ComExpress info: Manufacturing Date: 2009.08.19 Serial Number: Hardware Revision: 0x0006 Firmware Revision: 0x0102 { case `uname` in Linux ) ILOM="/usr/bin/ipmitool sunoem cli" ;; SunOS ) ILOM="/opt/ipmitool/bin/ipmitool sunoem cli" ;; esac ; ImageInfo="/opt/oracle.cellos/imageinfo" ; uname -srm ; head -1 /etc/*release ; uptime | cut -d, -f1 ; $ILOM "show /SP system_description system_identifier" | grep = ; $ImageInfo -activated -node -status -ver | grep -v ^$ ; } | tee /tmp/ExaInfo.log $GRID_HOME/OPatch/opatch lsinv -all -oh $GRID_HOME | tee /tmp/OPatchInv.log $ORACLE_HOME/OPatch/opatch lsinv -all | tee -a /tmp/OPatchInv.log cat /tmp/ExaInfo.log Linux 2.6.18-128.1.16.0.1.el5 x86_64 ==> /etc/enterprise-release <== Enterprise Linux Enterprise Linux Server release 5.3 (Carthage) ==> /etc/redhat-release <== Enterprise Linux Enterprise Linux Server release 5.3 (Carthage) 20:37:56 up 458 days system_description = SUN FIRE X4170 SERVER, ILOM v3.0.6.10.b, r52264 system_identifier = Sun Oracle Database Machine Active image version: 11.2.1.2.3 Active image activated: XXXX-XX-XX 12:27:12 +0800 Active image status: success Active node type: COMPUTE Inactive image version: undefined FileName: OPatchInv.log ---------------- ... Oracle Home       : /u01/app/11.2.0/grid Central Inventory : /u01/app/oraInventory   from           : /etc/oraInst.loc OPatch version    : 11.2.0.1.2 OUI version       : 11.2.0.1.0 OUI location      : /u01/app/11.2.0/grid/oui ... -------------------------------------------------------------------------------- List of Oracle Homes:   Name                                       Location   Ora11g_gridinfrahome1         /u01/app/11.2.0/grid   OraDb11g_home1                  /u01/app/oracle/product/11.2.0/dbhome_1 -------------------------------------------------------------------------------- Installed Top-level Products (1): Oracle Grid Infrastructure                                           11.2.0.1.0 ... Interim patches (2) : Patch  9524394      : applied on Thu Jun 03 20:46:05 CST 2010 ... {TRACKING BUG FOR 11.2.0.1 DB MACHINE BUNDLE PATCH 3} Patch  9455587      : applied on Fri Apr 02 18:27:47 CST 2010 ... {MERGE REQUEST ON TOP OF 11.2.0.1.0 FOR BUGS 8483425 8667622 8702731 8730804} Rac system comprising of multiple nodes  Local node = dbserv01  Remote node = dbserv02  Remote node = dbserv03  Remote node = dbserv04 -------------------------------------------------------------------------------- OPatch succeeded. ... Oracle Home       : /u01/app/oracle/product/11.2.0/dbhome_1 ... Oracle Database 11g                                                  11.2.0.1.0 ... Interim patches (5) : Patch  8888434      : applied on Sat Jan 08 00:27:33 CST 2011 ... {AIX-ASM-CF: LMHB TERMINATE INSTANCE WHEN OFFLINE ONE FAILGROUP IN ASM DG} Patch  8730312      : applied on Thu Jun 03 21:30:03 CST 2010 ... {FWD MERGE FOR BASE BUG 8715387 FOR 12G} Patch  9502717      : applied on Thu Jun 03 21:25:54 CST 2010 ... {LMS HIT ORA-600 [KJBLDRMNEXTPKEY:SEEN] AND CRASHED THE INSTANCE} { + same 2 as GI above} ?? cell server Cache Policy cell08# MegaCli64 -LDInfo -Lall -aALL | grep 'Current Cache Policy' Current Cache Policy: WriteThrough, ReadAheadNone, Direct, No Write Cache if Bad BBU cell09# MegaCli64 -LDInfo -Lall -aALL | grep 'Current Cache Policy' Current Cache Policy: WriteBack, ReadAheadNone, Direct, No Write Cache if Bad BBU Default Cache Policy: WriteBack, ReadAheadNone, Direct, No Write Cache if Bad BBU Current Cache Policy: WriteThrough, ReadAheadNone, Direct, No Write Cache if Bad BBU Cache policy is in WB Would recommend proactive  battery repalcement. Example : a. /opt/MegaRAID/MegaCli/MegaCli64 -LDGetProp  -Cache -LALL -aALL ####( Will list the cache policy) b. /opt/MegaRAID/MegaCli/MegaCli64 -LDSetProp  -WB  -LALL -aALL ####( Will try to change teh policy from xx to WB)     So policy Change to WB will not come into effect immediately     Set Write Policy to WriteBack on Adapter 0, VD 0 (target id: 0) success     Battery capacity is below the threshold value ??cell BBU??????: cell08# /opt/MegaRAID/MegaCli/MegaCli64 -AdpBbuCmd -GetBbuStatus -a0 BBU status for Adapter: 0 BatteryType: iBBU Voltage: 4061 mV Current: 0 mA Temperature: 36 C BBU Firmware Status: Charging Status : None Voltage : OK Temperature : OK Learn Cycle Requested : No Learn Cycle Active : No Learn Cycle Status : OK Learn Cycle Timeout : No I2c Errors Detected : No Battery Pack Missing : No Battery Replacement required : No Remaining Capacity Low : Yes Periodic Learn Required : No Battery state: GasGuageStatus: Fully Discharged : No Fully Charged : Yes Discharging : Yes Initialized : Yes Remaining Time Alarm : No Remaining Capacity Alarm: No Discharge Terminated : No Over Temperature : No Charging Terminated : No Over Charged : No Relative State of Charge: 99 % Charger System State: 49168 Charger System Ctrl: 0 Charging current: 0 mA Absolute state of charge: 21 % Max Error: 2 % Exit Code: 0x00 ????BBU ??: dcli -g ~/cell_group -l root -t '{ uname -srm ; head -1 /etc/*release ; uptime | cut -d, -f1 ; imagehistory ; ipmitool sunoem cli "show /SP system_description system_identifier" | grep = ; ipmitool sunoem cli "show /SP/policy FLASH_ACCELERATOR_CARD_INSTALLED /opt/MegaRAID/MegaCli/MegaCli64 -AdpBbuCmd -GetBbuStatus -a0 | egrep -i 'BBU|Battery|Charge:|Fully|Low|Learn' ; }' | tee /tmp/ExaInfo.log Target cells: ['cellserv01', 'cellserv02', 'cellserv03', 'cellserv04', 'cellserv05', 'cellserv06', 'cellserv07'] cellserv01: Linux 2.6.18-128.1.16.0.1.el5 x86_64 cellserv01: ==> /etc/enterprise-release <== cellserv01: Enterprise Linux Enterprise Linux Server release 5.3 (Carthage) cellserv01: cellserv01: ==> /etc/redhat-release <== cellserv01: Enterprise Linux Enterprise Linux Server release 5.3 (Carthage) cellserv01: 01:17:39 up 635 days cellserv01: Version : 11.2.1.2.1 cellserv01: Image activation date : 2011-03-25 11:59:34 -0800 cellserv01: Imaging mode : fresh cellserv01: Imaging status : success cellserv01: cellserv01: Version : 11.2.1.2.3 cellserv01: Image activation date : 2011-04-13 12:15:46 +0800 cellserv01: Imaging mode : patch cellserv01: Imaging status : success cellserv01: cellserv01: Version : 11.2.1.2.6 cellserv01: Image activation date : 2011-05-27 23:08:22 +0800 cellserv01: Imaging mode : patch cellserv01: Imaging status : success cellserv01: cellserv01: system_description = SUN FIRE X4275 SERVER, ILOM v3.0.6.10.b, r52264 cellserv01: system_identifier = Sun Oracle Database Machine cellserv01: Connected. Use ^D to exit. cellserv01: -> show /SP/policy FLASH_ACCELERATOR_CARD_INSTALLED cellserv01: show: No matching properties found. cellserv01: cellserv01: -> Session closed cellserv01: Disconnected cellserv01: BBU status for Adapter: 0 cellserv01: BatteryType: iBBU cellserv01: BBU Firmware Status: cellserv01: Learn Cycle Requested : No cellserv01: Learn Cycle Active : No cellserv01: Learn Cycle Status : OK cellserv01: Learn Cycle Timeout : No cellserv01: Battery Pack Missing : No cellserv01: Battery Replacement required : No cellserv01: Remaining Capacity Low : Yes cellserv01: Periodic Learn Required : No cellserv01: Battery state: cellserv01: Fully Discharged : No cellserv01: Fully Charged : Yes cellserv01: Relative State of Charge: 99 % cellserv01: Absolute state of charge: 21 % dcli -l root -g /root/all_group '/opt/MegaRAID/MegAaCli/MegaCli64 -AdpBbuCmd -a0' > BBU.out check ipmi: dcli -g ~/cell_group -l root -t '{ > ipmitool sunoem cli "show /SP/policy FLASH_ACCELERATOR_CARD_INSTALLED" | grep = ; MegaCli64 -LDInfo -Lall -aALL | grep 'Current Cache Policy' ; }' | tee /tmp/ExaCells.log

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  • Why is the page still caching even after the no-cache headers have been sent?

    - by Matthew Grasinger
    I've done a ton of research on this and have asked many people with help and still no success. Here are the details... I'm involved in developing a website that pulls data from various data files, combines them in a temp .csv file, and then is graphed using a popular graphing library: dygraphs. The bulk of the website is written in PHP. The parameters that determine the data that is graphed are stored in the users session, the .csv is named after the users session and available for download, and then the .csv file is written in a script that passes it to the dygraphs object. And we've found, even with the no-cache headers sent: header("Cache-Control: no-cache, must-revalidate"); header("Expires: Sat, 26 Jul 1997 05:00:00 GMT"); Many users experience in the middle of a session, (if enough different graphs are generated) the page displaying an older, static rendering of the page (data they had graphed earlier in the session) as if it were cached and loaded instead of getting a new request. It only gets weirder though: I've checked using developer tools in both Firefox and Chrome and both browsers are receiving the no-cache headers just fine; Even when the problem occurs if you view the page source, the source is the correct content (a table/legend is also dynamically created using php, the source shows the correct table, but what is rendered is older content); the page begins to render correctly until the graph is about to be display, and then shows the older content; the older content displays as if it were a completely static overlay--the cached graph does not have the same dynamic features (roll over data point display, zoom and pan, etc.) And it is as if the correct page were somewhere beneath it (the download button for the csv file moves depending on how large the table is. The older, static page does nothing if you click the download .csv button, but if you can manage to find the one in the page beneath it you can click and still download the .csv. The data in the .csv is correct) It is one of the strangest things I've seen in development thus far. Some other relevant facts are that all the problems I've personally experience occurred while I was using Chrome. Non of these symptoms have been reported by Firefox users. IE users have had the same problems (IE users are forced to use chrome frame). I'm at my wits end at this point. We've sent the php headers; we've tried setting the cache profile for php on IIS as "DisableCache" (or whatever); we've tried sending a random query string to the results page; we've tried all the appropriate meta tags--all with no success.

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  • Why load increase ,ssd iops increase but cpu iowait decrease?

    - by mq44944
    There is a strange thing on my server which has a mysql running on it. The QPS is more than 4000 but TPS is less than 20. The server load is more than 80 and cpu usr is more than 86% but iowait is less than 8%. The disk iops is more than 16000 and util of disk is more than 99%. When the QPS decreases, the load decreases, the cpu iowait increases. I can't catch this! root@mypc # dmidecode | grep "Product Name" Product Name: PowerEdge R510 Product Name: 084YMW root@mypc # megacli -PDList -aALL |grep "Inquiry Data" Inquiry Data: SEAGATE ST3600057SS ES656SL316PT Inquiry Data: SEAGATE ST3600057SS ES656SL30THV Inquiry Data: ATA INTEL SSDSA2CW300362CVPR201602A6300EGN Inquiry Data: ATA INTEL SSDSA2CW300362CVPR2044037K300EGN Inquiry Data: ATA INTEL SSDSA2CW300362CVPR204402PX300EGN Inquiry Data: ATA INTEL SSDSA2CW300362CVPR204403WN300EGN Inquiry Data: ATA INTEL SSDSA2CW300362CVPR202000HU300EGN Inquiry Data: ATA INTEL SSDSA2CW300362CVPR202001E7300EGN Inquiry Data: ATA INTEL SSDSA2CW300362CVPR204402WE300EGN Inquiry Data: ATA INTEL SSDSA2CW300362CVPR204404E5300EGN Inquiry Data: ATA INTEL SSDSA2CW300362CVPR204401QF300EGN Inquiry Data: ATA INTEL SSDSA2CW300362CVPR20450001300EGN the mysql data files lie on the ssd disks which are organizaed using RAID 10. root@mypc # megacli -LDInfo -L1 -a0 Adapter 0 -- Virtual Drive Information: Virtual Disk: 1 (Target Id: 1) Name: RAID Level: Primary-1, Secondary-0, RAID Level Qualifier-0 Size:1427840MB State: Optimal Stripe Size: 64kB Number Of Drives:2 Span Depth:5 Default Cache Policy: WriteThrough, ReadAheadNone, Direct, No Write Cache if Bad BBU Current Cache Policy: WriteThrough, ReadAheadNone, Direct, No Write Cache if Bad BBU Access Policy: Read/Write Disk Cache Policy: Disk's Default Exit Code: 0x00 -------- -----load-avg---- ---cpu-usage--- ---swap--- -------------------------io-usage----------------------- -QPS- -TPS- -Hit%- time | 1m 5m 15m |usr sys idl iow| si so| r/s w/s rkB/s wkB/s queue await svctm %util| ins upd del sel iud| lor hit| 09:05:29|79.80 64.49 42.00| 82 7 6 5| 0 0|16421.1 10.6262705.9 85.2 8.3 0.5 0.1 99.5| 0 0 0 3968 0| 495482 96.58| 09:05:30|79.80 64.49 42.00| 79 7 8 6| 0 0|15907.4 230.6254409.7 6357.5 8.4 0.5 0.1 98.5| 0 0 0 4195 0| 496434 96.68| 09:05:31|81.34 65.07 42.31| 81 7 7 5| 0 0|16198.7 8.6259029.2 99.8 8.1 0.5 0.1 99.3| 0 0 0 4220 0| 508983 96.70| 09:05:32|81.34 65.07 42.31| 82 7 5 5| 0 0|16746.6 8.7267853.3 92.4 8.5 0.5 0.1 99.4| 0 0 0 4084 0| 503834 96.54| 09:05:33|81.34 65.07 42.31| 81 7 6 5| 0 0|16498.7 9.6263856.8 92.3 8.0 0.5 0.1 99.3| 0 0 0 4030 0| 507051 96.60| 09:05:34|81.34 65.07 42.31| 80 8 7 6| 0 0|16328.4 11.5261101.6 95.8 8.1 0.5 0.1 98.3| 0 0 0 4119 0| 504409 96.63| 09:05:35|81.31 65.33 42.52| 82 7 6 5| 0 0|16374.0 8.7261921.9 92.5 8.1 0.5 0.1 99.7| 0 0 0 4127 0| 507279 96.66| 09:05:36|81.31 65.33 42.52| 81 8 6 5| 0 0|16496.2 8.6263832.0 84.5 8.5 0.5 0.1 99.2| 0 0 0 4100 0| 505054 96.59| 09:05:37|81.31 65.33 42.52| 82 8 6 4| 0 0|16239.4 9.6259768.8 84.3 8.0 0.5 0.1 99.1| 0 0 0 4273 0| 510621 96.72| 09:05:38|81.31 65.33 42.52| 81 7 6 5| 0 0|16349.6 8.7261439.2 81.4 8.2 0.5 0.1 98.9| 0 0 0 4171 0| 510145 96.67| 09:05:39|81.31 65.33 42.52| 82 7 6 5| 0 0|16116.8 8.7257667.6 96.5 8.0 0.5 0.1 99.1| 0 0 0 4348 0| 513093 96.74| 09:05:40|79.60 65.24 42.61| 79 7 7 7| 0 0|16154.2 242.9258390.4 6388.4 8.5 0.5 0.1 99.0| 0 0 0 4033 0| 507244 96.70| 09:05:41|79.60 65.24 42.61| 79 7 8 6| 0 0|16583.1 21.2265129.6 173.5 8.2 0.5 0.1 99.1| 0 0 0 3995 0| 501474 96.57| 09:05:42|79.60 65.24 42.61| 81 8 6 5| 0 0|16281.0 9.7260372.2 69.5 8.3 0.5 0.1 98.7| 0 0 0 4221 0| 509322 96.70| 09:05:43|79.60 65.24 42.61| 80 7 7 6| 0 0|16355.3 8.7261515.5 104.3 8.2 0.5 0.1 99.6| 0 0 0 4087 0| 502052 96.62| -------- -----load-avg---- ---cpu-usage--- ---swap--- -------------------------io-usage----------------------- -QPS- -TPS- -Hit%- time | 1m 5m 15m |usr sys idl iow| si so| r/s w/s rkB/s wkB/s queue await svctm %util| ins upd del sel iud| lor hit| 09:05:44|79.60 65.24 42.61| 83 7 5 4| 0 0|16469.4 11.6263387.0 138.8 8.2 0.5 0.1 98.7| 0 0 0 4292 0| 509979 96.65| 09:05:45|79.07 65.37 42.77| 80 7 6 6| 0 0|16659.5 9.7266478.7 85.0 8.4 0.5 0.1 98.5| 0 0 0 3899 0| 496234 96.54| 09:05:46|79.07 65.37 42.77| 78 7 7 8| 0 0|16752.9 8.7267921.8 97.1 8.4 0.5 0.1 98.9| 0 0 0 4126 0| 508300 96.57| 09:05:47|79.07 65.37 42.77| 82 7 6 5| 0 0|16657.2 9.6266439.3 84.3 8.3 0.5 0.1 98.9| 0 0 0 4086 0| 502171 96.57| 09:05:48|79.07 65.37 42.77| 79 8 6 6| 0 0|16814.5 8.7268924.1 77.6 8.5 0.5 0.1 99.0| 0 0 0 4059 0| 499645 96.52| 09:05:49|79.07 65.37 42.77| 81 7 6 5| 0 0|16553.0 6.8264708.6 42.5 8.3 0.5 0.1 99.4| 0 0 0 4249 0| 501623 96.60| 09:05:50|79.63 65.71 43.01| 79 7 7 7| 0 0|16295.1 246.9260475.0 6442.4 8.7 0.5 0.1 99.1| 0 0 0 4231 0| 511032 96.70| 09:05:51|79.63 65.71 43.01| 80 7 6 6| 0 0|16568.9 8.7264919.7 104.7 8.3 0.5 0.1 99.7| 0 0 0 4272 0| 517177 96.68| 09:05:53|79.63 65.71 43.01| 79 7 7 6| 0 0|16539.0 8.6264502.9 87.6 8.4 0.5 0.1 98.9| 0 0 0 3992 0| 496728 96.52| 09:05:54|79.63 65.71 43.01| 79 7 7 7| 0 0|16527.5 11.6264363.6 92.6 8.5 0.5 0.1 98.8| 0 0 0 4045 0| 502944 96.59| 09:05:55|79.63 65.71 43.01| 80 7 7 6| 0 0|16374.7 12.5261687.2 134.9 8.6 0.5 0.1 99.2| 0 0 0 4143 0| 507006 96.66| 09:05:56|76.05 65.20 42.96| 77 8 8 8| 0 0|16464.9 9.6263314.3 111.9 8.5 0.5 0.1 98.9| 0 0 0 4250 0| 505417 96.64| 09:05:57|76.05 65.20 42.96| 79 7 6 7| 0 0|16460.1 8.8263283.2 93.4 8.3 0.5 0.1 98.8| 0 0 0 4294 0| 508168 96.66| 09:05:58|76.05 65.20 42.96| 80 7 7 7| 0 0|16176.5 9.6258762.1 127.3 8.3 0.5 0.1 98.9| 0 0 0 4160 0| 509349 96.72| 09:05:59|76.05 65.20 42.96| 75 7 9 10| 0 0|16522.0 10.7264274.6 93.1 8.6 0.5 0.1 97.5| 0 0 0 4034 0| 492623 96.51| -------- -----load-avg---- ---cpu-usage--- ---swap--- -------------------------io-usage----------------------- -QPS- -TPS- -Hit%- time | 1m 5m 15m |usr sys idl iow| si so| r/s w/s rkB/s wkB/s queue await svctm %util| ins upd del sel iud| lor hit| 09:06:00|76.05 65.20 42.96| 79 7 7 7| 0 0|16369.6 21.2261867.3 262.5 8.4 0.5 0.1 98.9| 0 0 0 4305 0| 494509 96.59| 09:06:01|75.33 65.23 43.09| 73 6 9 12| 0 0|15864.0 209.3253685.4 6238.0 10.0 0.6 0.1 98.7| 0 0 0 3913 0| 483480 96.62| 09:06:02|75.33 65.23 43.09| 73 7 8 12| 0 0|15854.7 12.7253613.2 93.6 11.0 0.7 0.1 99.0| 0 0 0 4271 0| 483771 96.64| 09:06:03|75.33 65.23 43.09| 75 7 9 9| 0 0|16074.8 8.7257104.3 81.7 8.1 0.5 0.1 98.5| 0 0 0 4060 0| 480701 96.55| 09:06:04|75.33 65.23 43.09| 76 7 8 9| 0 0|16221.7 9.7259500.1 139.4 8.1 0.5 0.1 97.6| 0 0 0 3953 0| 486774 96.56| 09:06:05|74.98 65.33 43.24| 78 7 8 8| 0 0|16330.7 8.7261166.5 85.3 8.2 0.5 0.1 98.5| 0 0 0 3957 0| 481775 96.53| 09:06:06|74.98 65.33 43.24| 75 7 9 9| 0 0|16093.7 11.7257436.1 93.7 8.2 0.5 0.1 99.2| 0 0 0 3938 0| 489251 96.60| 09:06:07|74.98 65.33 43.24| 75 7 5 13| 0 0|15758.9 19.2251989.4 188.2 14.7 0.9 0.1 99.7| 0 0 0 4140 0| 494738 96.70| 09:06:08|74.98 65.33 43.24| 69 7 10 15| 0 0|16166.3 8.7258474.9 81.2 8.9 0.5 0.1 98.7| 0 0 0 3993 0| 487162 96.58| 09:06:09|74.98 65.33 43.24| 74 7 9 10| 0 0|16071.0 8.7257010.9 93.3 8.2 0.5 0.1 99.2| 0 0 0 4098 0| 491557 96.61| 09:06:10|70.98 64.66 43.14| 71 7 9 12| 0 0|15549.6 216.1248701.1 6188.7 8.3 0.5 0.1 97.8| 0 0 0 3879 0| 480832 96.66| 09:06:11|70.98 64.66 43.14| 71 7 10 13| 0 0|16233.7 22.4259568.1 257.1 8.2 0.5 0.1 99.2| 0 0 0 4088 0| 493200 96.62| 09:06:12|70.98 64.66 43.14| 78 7 8 7| 0 0|15932.4 10.6254779.5 108.1 8.1 0.5 0.1 98.6| 0 0 0 4168 0| 489838 96.63| 09:06:13|70.98 64.66 43.14| 71 8 9 12| 0 0|16255.9 11.5259902.3 103.9 8.3 0.5 0.1 98.0| 0 0 0 3874 0| 481246 96.52| 09:06:14|70.98 64.66 43.14| 60 6 16 18| 0 0|15621.0 9.7249826.1 81.9 8.0 0.5 0.1 99.3| 0 0 0 3956 0| 480278 96.65|

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  • Quantifying the effects of partition mis-alignment

    - by Matt
    I'm experiencing some significant performance issues on an NFS server. I've been reading up a bit on partition alignment, and I think I have my partitions mis-aligned. I can't find anything that tells me how to actually quantify the effects of mis-aligned partitions. Some of the general information I found suggests the performance penalty can be quite high (upwards of 60%) and others say it's negligible. What I want to do is determine if partition alignment is a factor in this server's performance problems or not; and if so, to what degree? So I'll put my info out here, and hopefully the community can confirm if my partitions are indeed mis-aligned, and if so, help me put a number to what the performance cost is. Server is a Dell R510 with dual E5620 CPUs and 8 GB RAM. There are eight 15k 2.5” 600 GB drives (Seagate ST3600057SS) configured in hardware RAID-6 with a single hot spare. RAID controller is a Dell PERC H700 w/512MB cache (Linux sees this as a LSI MegaSAS 9260). OS is CentOS 5.6, home directory partition is ext3, with options “rw,data=journal,usrquota”. I have the HW RAID configured to present two virtual disks to the OS: /dev/sda for the OS (boot, root and swap partitions), and /dev/sdb for a big NFS share: [root@lnxutil1 ~]# parted -s /dev/sda unit s print Model: DELL PERC H700 (scsi) Disk /dev/sda: 134217599s Sector size (logical/physical): 512B/512B Partition Table: msdos Number Start End Size Type File system Flags 1 63s 465884s 465822s primary ext2 boot 2 465885s 134207009s 133741125s primary lvm [root@lnxutil1 ~]# parted -s /dev/sdb unit s print Model: DELL PERC H700 (scsi) Disk /dev/sdb: 5720768639s Sector size (logical/physical): 512B/512B Partition Table: gpt Number Start End Size File system Name Flags 1 34s 5720768606s 5720768573s lvm Edit 1 Using the cfq IO scheduler (default for CentOS 5.6): # cat /sys/block/sd{a,b}/queue/scheduler noop anticipatory deadline [cfq] noop anticipatory deadline [cfq] Chunk size is the same as strip size, right? If so, then 64kB: # /opt/MegaCli -LDInfo -Lall -aALL -NoLog Adapter #0 Number of Virtual Disks: 2 Virtual Disk: 0 (target id: 0) Name:os RAID Level: Primary-6, Secondary-0, RAID Level Qualifier-3 Size:65535MB State: Optimal Stripe Size: 64kB Number Of Drives:7 Span Depth:1 Default Cache Policy: WriteBack, ReadAdaptive, Direct, No Write Cache if Bad BBU Current Cache Policy: WriteThrough, ReadAdaptive, Direct, No Write Cache if Bad BBU Access Policy: Read/Write Disk Cache Policy: Disk's Default Number of Spans: 1 Span: 0 - Number of PDs: 7 ... physical disk info removed for brevity ... Virtual Disk: 1 (target id: 1) Name:share RAID Level: Primary-6, Secondary-0, RAID Level Qualifier-3 Size:2793344MB State: Optimal Stripe Size: 64kB Number Of Drives:7 Span Depth:1 Default Cache Policy: WriteBack, ReadAdaptive, Direct, No Write Cache if Bad BBU Current Cache Policy: WriteThrough, ReadAdaptive, Direct, No Write Cache if Bad BBU Access Policy: Read/Write Disk Cache Policy: Disk's Default Number of Spans: 1 Span: 0 - Number of PDs: 7 If it's not obvious, virtual disk 0 corresponds to /dev/sda, for the OS; virtual disk 1 is /dev/sdb (the exported home directory tree).

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  • How to force two process to run on the same CPU?

    - by kovan
    Context: I'm programming a software system that consists of multiple processes. It is programmed in C++ under Linux. and they communicate among them using Linux shared memory. Usually, in software development, is in the final stage when the performance optimization is made. Here I came to a big problem. The software has high performance requirements, but in machines with 4 or 8 CPU cores (usually with more than one CPU), it was only able to use 3 cores, thus wasting 25% of the CPU power in the first ones, and more than 60% in the second ones. After many research, and having discarded mutex and lock contention, I found out that the time was being wasted on shmdt/shmat calls (detach and attach to shared memory segments). After some more research, I found out that these CPUs, which usually are AMD Opteron and Intel Xeon, use a memory system called NUMA, which basically means that each processor has its fast, "local memory", and accessing memory from other CPUs is expensive. After doing some tests, the problem seems to be that the software is designed so that, basically, any process can pass shared memory segments to any other process, and to any thread in them. This seems to kill performance, as process are constantly accessing memory from other processes. Question: Now, the question is, is there any way to force pairs of processes to execute in the same CPU?. I don't mean to force them to execute always in the same processor, as I don't care in which one they are executed, altough that would do the job. Ideally, there would be a way to tell the kernel: If you schedule this process in one processor, you must also schedule this "brother" process (which is the process with which it communicates through shared memory) in that same processor, so that performance is not penalized.

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  • When using Direct3D, how much math is being done on the CPU?

    - by zirgen
    Context: I'm just starting out. I'm not even touching the Direct3D 11 API, and instead looking at understanding the pipeline, etc. From looking at documentation and information floating around the web, it seems like some calculations are being handled by the application. That, is, instead of simply presenting matrices to multiply to the GPU, the calculations are being done by a math library that operates on the CPU. I don't have any particular resources to point to, although I guess I can point to the XNA Math Library or the samples shipped in the February DX SDK. When you see code like mViewProj = mView * mProj;, that projection is being calculated on the CPU. Or am I wrong? If you were writing a program, where you can have 10 cubes on the screen, where you can move or rotate cubes, as well as viewpoint, what calculations would you do on the CPU? I think I would store the geometry for the a single cube, and then transform matrices representing the actual instances. And then it seems I would use the XNA math library, or another of my choosing, to transform each cube in model space. Then get the coordinates in world space. Then push the information to the GPU. That's quite a bit of calculation on the CPU. Am I wrong? Am I reaching conclusions based on too little information and understanding? What terms should I Google for, if the answer is STFW? Or if I am right, why aren't these calculations being pushed to the GPU as well?

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  • Coherence - How to develop a custom push replication publisher

    - by cosmin.tudor(at)oracle.com
    CoherencePushReplicationDB.zipIn the example bellow I'm describing a way of developing a custom push replication publisher that publishes data to a database via JDBC. This example can be easily changed to publish data to other receivers (JMS,...) by performing changes to step 2 and small changes to step 3, steps that are presented bellow. I've used Eclipse as the development tool. To develop a custom push replication publishers we will need to go through 6 steps: Step 1: Create a custom publisher scheme class Step 2: Create a custom publisher class that should define what the publisher is doing. Step 3: Create a class data is performing the actions (publish to JMS, DB, etc ) for the custom publisher. Step 4: Register the new publisher against a ContentHandler. Step 5: Add the new custom publisher in the cache configuration file. Step 6: Add the custom publisher scheme class to the POF configuration file. All these steps are detailed bellow. The coherence project is attached and conclusions are presented at the end. Step 1: In the Coherence Eclipse project create a class called CustomPublisherScheme that should implement com.oracle.coherence.patterns.pushreplication.publishers.AbstractPublisherScheme. In this class define the elements of the custom-publisher-scheme element. For instance for a CustomPublisherScheme that looks like that: <sync:publisher> <sync:publisher-name>Active2-JDBC-Publisher</sync:publisher-name> <sync:publisher-scheme> <sync:custom-publisher-scheme> <sync:jdbc-string>jdbc:oracle:thin:@machine-name:1521:XE</sync:jdbc-string> <sync:username>hr</sync:username> <sync:password>hr</sync:password> </sync:custom-publisher-scheme> </sync:publisher-scheme> </sync:publisher> the code is: package com.oracle.coherence; import java.io.DataInput; import java.io.DataOutput; import java.io.IOException; import com.oracle.coherence.patterns.pushreplication.Publisher; import com.oracle.coherence.configuration.Configurable; import com.oracle.coherence.configuration.Mandatory; import com.oracle.coherence.configuration.Property; import com.oracle.coherence.configuration.parameters.ParameterScope; import com.oracle.coherence.environment.Environment; import com.tangosol.io.pof.PofReader; import com.tangosol.io.pof.PofWriter; import com.tangosol.util.ExternalizableHelper; @Configurable public class CustomPublisherScheme extends com.oracle.coherence.patterns.pushreplication.publishers.AbstractPublisherScheme { /** * */ private static final long serialVersionUID = 1L; private String jdbcString; private String username; private String password; public String getJdbcString() { return this.jdbcString; } @Property("jdbc-string") @Mandatory public void setJdbcString(String jdbcString) { this.jdbcString = jdbcString; } public String getUsername() { return username; } @Property("username") @Mandatory public void setUsername(String username) { this.username = username; } public String getPassword() { return password; } @Property("password") @Mandatory public void setPassword(String password) { this.password = password; } public Publisher realize(Environment environment, ClassLoader classLoader, ParameterScope parameterScope) { return new CustomPublisher(getJdbcString(), getUsername(), getPassword()); } public void readExternal(DataInput in) throws IOException { super.readExternal(in); this.jdbcString = ExternalizableHelper.readSafeUTF(in); this.username = ExternalizableHelper.readSafeUTF(in); this.password = ExternalizableHelper.readSafeUTF(in); } public void writeExternal(DataOutput out) throws IOException { super.writeExternal(out); ExternalizableHelper.writeSafeUTF(out, this.jdbcString); ExternalizableHelper.writeSafeUTF(out, this.username); ExternalizableHelper.writeSafeUTF(out, this.password); } public void readExternal(PofReader reader) throws IOException { super.readExternal(reader); this.jdbcString = reader.readString(100); this.username = reader.readString(101); this.password = reader.readString(102); } public void writeExternal(PofWriter writer) throws IOException { super.writeExternal(writer); writer.writeString(100, this.jdbcString); writer.writeString(101, this.username); writer.writeString(102, this.password); } } Step 2: Define what the CustomPublisher should basically do by creating a new java class called CustomPublisher that implements com.oracle.coherence.patterns.pushreplication.Publisher package com.oracle.coherence; import com.oracle.coherence.patterns.pushreplication.EntryOperation; import com.oracle.coherence.patterns.pushreplication.Publisher; import com.oracle.coherence.patterns.pushreplication.exceptions.PublisherNotReadyException; import java.io.BufferedWriter; import java.util.Iterator; public class CustomPublisher implements Publisher { private String jdbcString; private String username; private String password; private transient BufferedWriter bufferedWriter; public CustomPublisher() { } public CustomPublisher(String jdbcString, String username, String password) { this.jdbcString = jdbcString; this.username = username; this.password = password; this.bufferedWriter = null; } public String getJdbcString() { return this.jdbcString; } public String getUsername() { return username; } public String getPassword() { return password; } public void publishBatch(String cacheName, String publisherName, Iterator<EntryOperation> entryOperations) { DatabasePersistence databasePersistence = new DatabasePersistence( jdbcString, username, password); while (entryOperations.hasNext()) { EntryOperation entryOperation = (EntryOperation) entryOperations .next(); databasePersistence.databasePersist(entryOperation); } } public void start(String cacheName, String publisherName) throws PublisherNotReadyException { System.err .printf("Started: Custom JDBC Publisher for Cache %s with Publisher %s\n", new Object[] { cacheName, publisherName }); } public void stop(String cacheName, String publisherName) { System.err .printf("Stopped: Custom JDBC Publisher for Cache %s with Publisher %s\n", new Object[] { cacheName, publisherName }); } } In the publishBatch method from above we inform the publisher that he is supposed to persist data to a database: DatabasePersistence databasePersistence = new DatabasePersistence( jdbcString, username, password); while (entryOperations.hasNext()) { EntryOperation entryOperation = (EntryOperation) entryOperations .next(); databasePersistence.databasePersist(entryOperation); } Step 3: The class that deals with the persistence is a very basic one that uses JDBC to perform inserts/updates against a database. package com.oracle.coherence; import com.oracle.coherence.patterns.pushreplication.EntryOperation; import java.sql.*; import java.text.SimpleDateFormat; import com.oracle.coherence.Order; public class DatabasePersistence { public static String INSERT_OPERATION = "INSERT"; public static String UPDATE_OPERATION = "UPDATE"; public Connection dbConnection; public DatabasePersistence(String jdbcString, String username, String password) { this.dbConnection = createConnection(jdbcString, username, password); } public Connection createConnection(String jdbcString, String username, String password) { Connection connection = null; System.err.println("Connecting to: " + jdbcString + " Username: " + username + " Password: " + password); try { // Load the JDBC driver String driverName = "oracle.jdbc.driver.OracleDriver"; Class.forName(driverName); // Create a connection to the database connection = DriverManager.getConnection(jdbcString, username, password); System.err.println("Connected to:" + jdbcString + " Username: " + username + " Password: " + password); } catch (ClassNotFoundException e) { e.printStackTrace(); } // driver catch (SQLException e) { e.printStackTrace(); } return connection; } public void databasePersist(EntryOperation entryOperation) { if (entryOperation.getOperation().toString() .equalsIgnoreCase(INSERT_OPERATION)) { insert(((Order) entryOperation.getPublishableEntry().getValue())); } else if (entryOperation.getOperation().toString() .equalsIgnoreCase(UPDATE_OPERATION)) { update(((Order) entryOperation.getPublishableEntry().getValue())); } } public void update(Order order) { String update = "UPDATE Orders set QUANTITY= '" + order.getQuantity() + "', AMOUNT='" + order.getAmount() + "', ORD_DATE= '" + (new SimpleDateFormat("dd-MMM-yyyy")).format(order .getOrdDate()) + "' WHERE SYMBOL='" + order.getSymbol() + "'"; System.err.println("UPDATE = " + update); try { Statement stmt = getDbConnection().createStatement(); stmt.execute(update); stmt.close(); } catch (SQLException ex) { System.err.println("SQLException: " + ex.getMessage()); } } public void insert(Order order) { String insert = "insert into Orders values('" + order.getSymbol() + "'," + order.getQuantity() + "," + order.getAmount() + ",'" + (new SimpleDateFormat("dd-MMM-yyyy")).format(order .getOrdDate()) + "')"; System.err.println("INSERT = " + insert); try { Statement stmt = getDbConnection().createStatement(); stmt.execute(insert); stmt.close(); } catch (SQLException ex) { System.err.println("SQLException: " + ex.getMessage()); } } public Connection getDbConnection() { return dbConnection; } public void setDbConnection(Connection dbConnection) { this.dbConnection = dbConnection; } } Step 4: Now we need to register our publisher against a ContentHandler. In order to achieve that we need to create in our eclipse project a new class called CustomPushReplicationNamespaceContentHandler that should extend the com.oracle.coherence.patterns.pushreplication.configuration.PushReplicationNamespaceContentHandler. In the constructor of the new class we define a new handler for our custom publisher. package com.oracle.coherence; import com.oracle.coherence.configuration.Configurator; import com.oracle.coherence.environment.extensible.ConfigurationContext; import com.oracle.coherence.environment.extensible.ConfigurationException; import com.oracle.coherence.environment.extensible.ElementContentHandler; import com.oracle.coherence.patterns.pushreplication.PublisherScheme; import com.oracle.coherence.environment.extensible.QualifiedName; import com.oracle.coherence.patterns.pushreplication.configuration.PushReplicationNamespaceContentHandler; import com.tangosol.run.xml.XmlElement; public class CustomPushReplicationNamespaceContentHandler extends PushReplicationNamespaceContentHandler { public CustomPushReplicationNamespaceContentHandler() { super(); registerContentHandler("custom-publisher-scheme", new ElementContentHandler() { public Object onElement(ConfigurationContext context, QualifiedName qualifiedName, XmlElement xmlElement) throws ConfigurationException { PublisherScheme publisherScheme = new CustomPublisherScheme(); Configurator.configure(publisherScheme, context, qualifiedName, xmlElement); return publisherScheme; } }); } } Step 5: Now we should define our CustomPublisher in the cache configuration file according to the following documentation. <cache-config xmlns:sync="class:com.oracle.coherence.CustomPushReplicationNamespaceContentHandler" xmlns:cr="class:com.oracle.coherence.environment.extensible.namespaces.InstanceNamespaceContentHandler"> <caching-schemes> <sync:provider pof-enabled="false"> <sync:coherence-provider /> </sync:provider> <caching-scheme-mapping> <cache-mapping> <cache-name>publishing-cache</cache-name> <scheme-name>distributed-scheme-with-publishing-cachestore</scheme-name> <autostart>true</autostart> <sync:publisher> <sync:publisher-name>Active2 Publisher</sync:publisher-name> <sync:publisher-scheme> <sync:remote-cluster-publisher-scheme> <sync:remote-invocation-service-name>remote-site1</sync:remote-invocation-service-name> <sync:remote-publisher-scheme> <sync:local-cache-publisher-scheme> <sync:target-cache-name>publishing-cache</sync:target-cache-name> </sync:local-cache-publisher-scheme> </sync:remote-publisher-scheme> <sync:autostart>true</sync:autostart> </sync:remote-cluster-publisher-scheme> </sync:publisher-scheme> </sync:publisher> <sync:publisher> <sync:publisher-name>Active2-Output-Publisher</sync:publisher-name> <sync:publisher-scheme> <sync:stderr-publisher-scheme> <sync:autostart>true</sync:autostart> <sync:publish-original-value>true</sync:publish-original-value> </sync:stderr-publisher-scheme> </sync:publisher-scheme> </sync:publisher> <sync:publisher> <sync:publisher-name>Active2-JDBC-Publisher</sync:publisher-name> <sync:publisher-scheme> <sync:custom-publisher-scheme> <sync:jdbc-string>jdbc:oracle:thin:@machine_name:1521:XE</sync:jdbc-string> <sync:username>hr</sync:username> <sync:password>hr</sync:password> </sync:custom-publisher-scheme> </sync:publisher-scheme> </sync:publisher> </cache-mapping> </caching-scheme-mapping> <!-- The following scheme is required for each remote-site when using a RemoteInvocationPublisher --> <remote-invocation-scheme> <service-name>remote-site1</service-name> <initiator-config> <tcp-initiator> <remote-addresses> <socket-address> <address>localhost</address> <port>20001</port> </socket-address> </remote-addresses> <connect-timeout>2s</connect-timeout> </tcp-initiator> <outgoing-message-handler> <request-timeout>5s</request-timeout> </outgoing-message-handler> </initiator-config> </remote-invocation-scheme> <!-- END: com.oracle.coherence.patterns.pushreplication --> <proxy-scheme> <service-name>ExtendTcpProxyService</service-name> <acceptor-config> <tcp-acceptor> <local-address> <address>localhost</address> <port>20002</port> </local-address> </tcp-acceptor> </acceptor-config> <autostart>true</autostart> </proxy-scheme> </caching-schemes> </cache-config> As you can see in the red-marked text from above I've:       - set new Namespace Content Handler       - define the new custom publisher that should work together with other publishers like: stderr and remote publishers in our case. Step 6: Add the com.oracle.coherence.CustomPublisherScheme to your custom-pof-config file: <pof-config> <user-type-list> <!-- Built in types --> <include>coherence-pof-config.xml</include> <include>coherence-common-pof-config.xml</include> <include>coherence-messagingpattern-pof-config.xml</include> <include>coherence-pushreplicationpattern-pof-config.xml</include> <!-- Application types --> <user-type> <type-id>1901</type-id> <class-name>com.oracle.coherence.Order</class-name> <serializer> <class-name>com.oracle.coherence.OrderSerializer</class-name> </serializer> </user-type> <user-type> <type-id>1902</type-id> <class-name>com.oracle.coherence.CustomPublisherScheme</class-name> </user-type> </user-type-list> </pof-config> CONCLUSIONSThis approach allows for publishers to publish data to almost any other receiver (database, JMS, MQ, ...). The only thing that needs to be changed is the DatabasePersistence.java class that should be adapted to the chosen receiver. Only minor changes are needed for the rest of the code (to publishBatch method from CustomPublisher class).

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  • Why would more CPU cores on virtual machine slow compile times?

    - by Sid
    [edit#2] If anyone from VMWare can hit me up with a copy of VMWare Fusion, I'd be more than happy to do the same as a VirtualBox vs VMWare comparison. Somehow I suspect the VMWare hypervisor will be better tuned for hyperthreading (see my answer too) I'm seeing something curious. As I increase the number of cores on my Windows 7 x64 virtual machine, the overall compile time increases instead of decreasing. Compiling is usually very well suited for parallel processing as in the middle part (post dependency mapping) you can simply call a compiler instance on each of your .c/.cpp/.cs/whatever file to build partial objects for the linker to take over. So I would have imagined that compiling would actually scale very well with # of cores. But what I'm seeing is: 8 cores: 1.89 sec 4 cores: 1.33 sec 2 cores: 1.24 sec 1 core: 1.15 sec Is this simply a design artifact due to a particular vendor's hypervisor implementation (type2:virtualbox in my case) or something more pervasive across more VMs to make hypervisor implementations more simpler? With so many factors, I seem to be able to make arguments both for and against this behavior - so if someone knows more about this than me, I'd be curious to read your answer. Thanks Sid [edit:addressing comments] @MartinBeckett: Cold compiles were discarded. @MonsterTruck: Couldn't find an opensource project to compile directly. Would be great but can't screwup my dev env right now. @Mr Lister, @philosodad: Have 8 hw threads, using VirtualBox, so should be 1:1 mapping without emulation @Thorbjorn: I have 6.5GB for the VM and a smallish VS2012 project - it's quite unlikely that I'm swapping in/out trashing the page file. @All: If someone can point to an open source VS2010/VS2012 project, that might be a better community reference than my (proprietary) VS2012 project. Orchard and DNN seem to need environment tweaking to compile in VS2012. I really would like to see if someone with VMWare Fusion also sees this (for VMWare vs VirtualBox compartmentalization) Test details: Hardware: Macbook Pro Retina CPU : Core i7 @ 2.3Ghz (quad core, hyper threaded = 8 cores in windows task manager) Memory : 16 GB Disk : 256GB SSD Host OS: Mac OS X 10.8 VM type: VirtualBox 4.1.18 (type 2 hypervisor) Guest OS: Windows 7 x64 SP1 Compiler: VS2012 compiling a solution with 3 C# Azure projects Compile times measure by VS2012 plugin called 'VSCommands' All tests run 5 times, first 2 runs discarded, last 3 averaged

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  • Integrating Coherence & Java EE 6 Applications using ActiveCache

    - by Ricardo Ferreira
    OK, so you are a developer and are starting a new Java EE 6 application using the most wonderful features of the Java EE platform like Enterprise JavaBeans, JavaServer Faces, CDI, JPA e another cool stuff technologies. And your architecture need to hold piece of data into distributed caches to improve application's performance, scalability and reliability? If this is your current facing scenario, maybe you should look closely in the solutions provided by Oracle WebLogic Server. Oracle had integrated WebLogic Server and its champion data caching technology called Oracle Coherence. This seamless integration between this two products provides a comprehensive environment to develop applications without the complexity of extra Java code to manage cache as a dependency, since Oracle provides an DI ("Dependency Injection") mechanism for Coherence, the same DI mechanism available in standard Java EE applications. This feature is called ActiveCache. In this article, I will show you how to configure ActiveCache in WebLogic and at your Java EE application. Configuring WebLogic to manage Coherence Before you start changing your application to use Coherence, you need to configure your Coherence distributed cache. The good news is, you can manage all this stuff without writing a single line of code of XML or even Java. This configuration can be done entirely in the WebLogic administration console. The first thing to do is the setup of a Coherence cluster. A Coherence cluster is a set of Coherence JVMs configured to form one single view of the cache. This means that you can insert or remove members of the cluster without the client application (the application that generates or consume data from the cache) knows about the changes. This concept allows your solution to scale-out without changing the application server JVMs. You can growth your application only in the data grid layer. To start the configuration, you need to configure an machine that points to the server in which you want to execute the Coherence JVMs. WebLogic Server allows you to do this very easily using the Administration Console. In this example, I will call the machine as "coherence-server". Remember that in order to the machine concept works, you need to ensure that the NodeManager are being executed in the target server that the machine points to. The NodeManager executable can be found in <WLS_HOME>/server/bin/startNodeManager.sh. The next thing to do is to configure a Coherence cluster. In the WebLogic administration console, go to Environment > Coherence Clusters and click in "New". Call this Coherence cluster of "my-coherence-cluster". Click in next. Specify a valid cluster address and port. The Coherence members will communicate with each other through this address and port. Our Coherence cluster are now configured. Now it is time to configure the Coherence members and add them to this cluster. In the WebLogic administration console, go to Environment > Coherence Servers and click in "New". In the field "Name" set to "coh-server-1". In the field "Machine", associate this Coherence server to the machine "coherence-server". In the field "Cluster", associate this Coherence server to the cluster named "my-coherence-cluster". Click in "Finish". Start the Coherence server using the "Control" tab of WebLogic administration console. This will instruct WebLogic to start a new JVM of Coherence in the target machine that should join the pre-defined Coherence cluster. Configuring your Java EE Application to Access Coherence Now lets pass to the funny part of the configuration. The first thing to do is to inform your Java EE application which Coherence cluster to join. Oracle had updated WebLogic server deployment descriptors so you will not have to change your code or the containers deployment descriptors like application.xml, ejb-jar.xml or web.xml. In this example, I will show you how to enable DI ("Dependency Injection") to a Coherence cache from a Servlet 3.0 component. In the WEB-INF/weblogic.xml deployment descriptor, put the following metadata information: <?xml version="1.0" encoding="UTF-8"?> <wls:weblogic-web-app xmlns:wls="http://xmlns.oracle.com/weblogic/weblogic-web-app" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://java.sun.com/xml/ns/javaee http://java.sun.com/xml/ns/javaee/web-app_2_5.xsd http://xmlns.oracle.com/weblogic/weblogic-web-app http://xmlns.oracle.com/weblogic/weblogic-web-app/1.4/weblogic-web-app.xsd"> <wls:context-root>myWebApp</wls:context-root> <wls:coherence-cluster-ref> <wls:coherence-cluster-name>my-coherence-cluster</wls:coherence-cluster-name> </wls:coherence-cluster-ref> </wls:weblogic-web-app> As you can see, using the "coherence-cluster-name" tag, we are informing our Java EE application that it should join the "my-coherence-cluster" when it loads in the web container. Without this information, the application will not be able to access the predefined Coherence cluster. It will form its own Coherence cluster without any members. So never forget to put this information. Now put the coherence.jar and active-cache-1.0.jar dependencies at your WEB-INF/lib application classpath. You need to deploy this dependencies so ActiveCache can automatically take care of the Coherence cluster join phase. This dependencies can be found in the following locations: - <WLS_HOME>/common/deployable-libraries/active-cache-1.0.jar - <COHERENCE_HOME>/lib/coherence.jar Finally, you need to write down the access code to the Coherence cache at your Servlet. In the following example, we have a Servlet 3.0 component that access a Coherence cache named "transactions" and prints into the browser output the content (the ammount property) of one specific transaction. package com.oracle.coherence.demo.activecache; import java.io.IOException; import javax.annotation.Resource; import javax.servlet.ServletException; import javax.servlet.annotation.WebServlet; import javax.servlet.http.HttpServlet; import javax.servlet.http.HttpServletRequest; import javax.servlet.http.HttpServletResponse; import com.tangosol.net.NamedCache; @WebServlet("/demo/specificTransaction") public class TransactionServletExample extends HttpServlet { @Resource(mappedName = "transactions") NamedCache transactions; protected void doGet(HttpServletRequest request, HttpServletResponse response) throws ServletException, IOException { int transId = Integer.parseInt(request.getParameter("transId")); Transaction transaction = (Transaction) transactions.get(transId); response.getWriter().println("<center>" + transaction.getAmmount() + "</center>"); } } Thats it! No more configuration is necessary and you have all set to start producing and getting data to/from Coherence. As you can see in the example code, the Coherence cache are treated as a normal dependency in the Java EE container. The magic happens behind the scenes when the ActiveCache allows your application to join the defined Coherence cluster. The most interesting thing about this approach is, no matter which type of Coherence cache your are using (Distributed, Partitioned, Replicated, WAN-Remote) for the client application, it is just a simple attribute member of com.tangosol.net.NamedCache type. And its all managed by the Java EE container as an dependency. This means that if you inject the same dependency (the Coherence cache named "transactions") in another Java EE component (JSF managed-bean, Stateless EJB) the cache will be the same. Cool isn't it? Thanks to the CDI technology, we can extend the same support for non-Java EE standards components like simple POJOs. This means that you are not forced to only use Servlets, EJBs or JSF in order to inject Coherence caches. You can do the same approach for regular POJOs created for you and managed by lightweight containers like Spring or Seam.

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  • Adatbázis szerver konszolidáció Oracle technológiákkal - eroforrás allokálás

    - by Lajos Sárecz
    Szerver konszolidációnál alapmegoldás a virtualizáció, pedig az Oracle Database rendelkezik olyan képességekkel, melyekkel a virtualizáció elonyeit élvezhetjük, ám teljesítményben felülmúljuk azt. Több adatbázis konszolidációját meg lehet oldani egy nagy szerveren, vagy egy több szerverbol álló klaszteren. Bármelyik megoldást is választjuk (ezek elonyeivel és hátrányaival most nem foglalkozok), az egyik legfontosabb megoldandó probléma, hogy biztonsággal el tudjuk oket szeparálni akár adatbiztonsági, akár eroforrás kezelési szempontból. A szoftveres és hardveres virtualizációk lehetové teszik, hogy a szerver eroforrásait több virtuális szerver között felosszuk, ezáltal elszeparálhatók a párhuzamosan futó adatbázis példányok. Ezek a megoldások általában költségesek, plusz adminisztrációt jelentenek és teljesítmény csökkenést okoznak. Az alábbiakban röviden összeszedem, hogy az Oracle Database milyen eroforrás szeparációs technológiákkal rendelkezik, melyek jól használhatók adatbázis konszolidáció esetén: Adatbázis szolgáltatások: Azt talán minden Oracle adatbázis-kezelovel foglalkozó szakérto tudja, hogy akliensek az adatbázist az adatbázis szolgáltatás nevével érik el. Alapértelmezetten minden adatbázis egyetlen szolgáltatással rendelkezik, mely automatikusan a 'global database name' paraméterrel megegyezo nevet kapja az adatbázis létrehozásakor. Ugyanakkor egy adatbázishoz több szolgáltatás név is rendelheto. A szolgáltatásokkal csoportosíthatók a különbözo feladatokat végrehajtó kliensek, és a szolgáltatásokhoz rendelhetjük hogy melyik kliens csoportnak mennyi rendszer eroforrást allokálunk. Klaszteres adatbázisok (RAC) esetén egy szolgáltatás több adatbázis példányhoz (szerverhez) kapcsolódhat, amivel valós terheléstol függo terhelés elosztás valósítható meg (itt már szerepet kap egyébként a Resource Manager is, lásd késobb). Az alkalmazás számára irrelevánssá válik, hogy az adott szolgáltatást mely szerver szolgálja ki. A szolgáltatásokhoz kapcsolódó eroforrások menet közben dinamikusan bovíthetok, de kezelik a kieso eroforrások hiányát is (failover). Database Resource Manager: Az Oracle Database Resource Manager az adatbázis szintjén kezeli az eroforrásokat, a CPU használatot szabályozza az adatbázis terhelés kontrolljával. A Resource Manager egy CPU-n adott pillanatban csak egyetlen Oracle processz futtatását engedélyezi, miközben a többit várakoztatja (ahogy az egy operációs rendszer ütemezojében is muködik). A Resource Manager csak akkor lép muködésbe, amikor a CPU terhelése eléri a 100%-ot. Ekkor a Resource Plan-nek megfeleloen korlátozhatja az egyes eroforrás csoportok számára elérheto eroforrás (CPU) mennyiségét. Instance Caging: A Resource Manager részeként az Oracle Database 11gR2-tol elérheto Instance Caging technológiával virtualizáció és operációs rendszer szintu eroforrás felosztás nélkül az adatbázis példány szintjén lehet szabályozni az allokált CPU számot. Erre akkor lehet szükség, ha egy szerveren több példány futtatására van szükség. A Resource Manager bekapcsolásával és a cpu_count paraméter beállításával lehet adatbázis példányonként aktiválni az Instance Caging funkcionalitást. A cpu_count egy dinamikus paraméter, célszeru arra az értékre állítani, ahány CPU-t az adott adatbázis példány maximálisan igényelhet. Lehetoség van túlméretezni a példányok számára rendelkezésre álló processzorok számát. Például egy 4 CPUs- szerver esetében ha van 3 példányunk, mindháromnak adhatunk 3 CPU-t. Azonban ha mindegyik terhelés alatt van, akkor a példány számára maximum allokált CPU szám osztva összes allokált CPU számmal arányban részesül a processzorból, ami a példában 33,33%, azaz 1,33 CPU. Input Output Resource Manager (IORM):Nem csak a processzorok használatát szabályozhatjuk, lehetoség van a megosztott storage eroforrásainak felosztására is. Az Input Output Resorce Manager (IORM) alkalmazásával storage szinten tudjuk szabályozni az adatbázisok közötti és azokon belüli minimális I/O szinteket. Database Vault: Ugyanazon adatbázisba konszolidált alkalmazások esetén a rendszergazda szerepkörök szeparálása lehetséges az Oracle Database Vault technológiával. Ezzel elérheto az, hogy biztonságosan konszolidáljuk adatbázisainkat úgy, hogy minden adminisztrátor csak a hozzá tartozó adatokat, objektumokat lássa, módosíthassa.

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  • When to increase AWS RDS MySQL Server instance to larger CPU/RAM?

    - by rksprst
    I'm wondering at what stage do I need to increase the image for the RDS MySQL server to a larger CPU/RAM instance. The CPU utilization graph is near 0. The Avg Free Memory is around 150MB. The Avg Swap Usage is 420MB. Read Latency is 0-20ms/op it spikes up randomly. Avg write latency is on average 5ms/op but spikes up to 10-20ms/op. Are there some common rules here that I should follow? Thanks!

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  • AWStats on Plesk consumes all of CPU and crashes server - how do you disable plesk.

    - by columbo
    Hello, I have Plesk 9.0.1 running on a Red Hat server. Every week or so at about 4:10am the server locks up. At this time the server CPU usage shhots from 4% to 90% at the same time as a mass of awstats.pl processes start (I can't see how many as my datat only shows the top 30 processes, but all of these are awstats.pl). I turned off awstats through the Plesk control panel for all but 5 domains but I still get 90% CPU usage and at least 30 instances of awstats.pl happening at 4:10am as usual. Does anyone know why this may be? Does anyone know how to disable awstats (I have stats covered using piwik)? Thanks

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  • Can I configure a DNS cache not to forward AAAA queries?

    - by itsadok
    I'm setting up an internal DNS cache because my firewall is having trouble handling all the sessions created by DNS requests. I tried using bind9, dnsmasq and DJB dnscache, they all help reduce the number of requests leaving my network, but there are still a lot of request being made. Looking at the log files, and tcpdump and dnstop outputs, it seems that requests that return SERVFAIL do not get cached at all. And a lot of those failed requests are AAAA requests, which is a shame, because I do not have ipv6 enabled on any server. I've looked at several ways to help the situation, and I think if I could somehow prevent AAAA record requests from being forwarded by the DNS cache, it would reduce the number of requests significantly. The closest thing I found was the filter-aaaa-on-v4 option in BIND9. However, this only removes the record from the server response, and does not prevent it from forwarding it. Any help would be appreciated.

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  • How to disable proxy cache when query string is empty?

    - by chx
    With nginx I have server { listen 1.2.3.4:80 proxy_cache_valid 200 302 5m; location / { try_files $uri @upstream; root $root; } } When I go http://example.com/foobar it generates a redirect to http://example.com/foobar?filter_distance=50&... which is visitor dependent so I would like to not cache this redirect. I need to bypass cache when the query string is empty. I am a bit lost because location /foobar will match both.

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  • How to convert a MKV video to a less CPU intensive video format?

    - by marco.ragogna
    I have a couple of videos at 1920x800 that use the MKV format (4.7 GB). A friend of mine has an old PC that has some problems playing them; the CPU is working at nearly 100%. Is it possible to convert these videos to a less CPU intensive video format? The final size is not a problem, it can also double or more. Into which format should I convert it and which software for Windows should I use (better if free)? Thank you in advance.

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  • SQL Server 2008 CPU usage goes to 100% - troubleshooting help needed?

    - by Ali
    I have a fairly powerful database server having SQL Server 2008 R2 installed. There is only one database on it which is being accessed from 2 servers (around 5/6 applications). The problem is as soon as applications start pointing to the database, system's CPU usage goes upto 100% with sqlserver itself using 95+%. I have checked profiler, there aren't any heavy queries running there. I have checked active connections, they are hardly 150. Still CPU usage is around 100% and applications are experiencing slow response/connection to database server are getting refused. Database grus, I really need some ideas here. Thanks.

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  • Why is cpu power management not working in Server 2012 with Hyper-V?

    - by Roland
    We've been using Server2008R2 with Hyper-V for a couple of years now and chose it at the time because of its ability to make use of Intel SpeedStep and AMD PowerNow! Now with Server 2012 and Hyper-V V3, all power management abilities seem to be gone. The CPUs are always at full speed and our servers need twice the energy as before while idling. (Yes, the CPU P-states are enabled in the BIOS) Is this by design? Is there a workaround to enable cpu power management again? Despite the great new features of Hyper-V 3, this would be a show-stopper for us since we are very concerned about energy consumption.

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  • Best practice on Linux servers and CPU/power throttling?

    - by Valentin
    I am running a couple of Debian 6 (2.6.32) and 7 (3.2) Linux servers and all of them have energy saving settings enabled in their BIOS. Furthermore Linux shows that the CPUs are throttled if the servers are idling. I wonder if this could cause any harm - could there be e.g. performance impacts because Linux would not be able to handle throttling correctly? Is there a best practice for Linux servers and power/CPU throttling? Do you guys switch your energy profiles to "performance" or do you leave both the BIOS and the OS with their default settings? The reason I am asking is that I encountered several performance issues on physical Dell servers although all values (CPU/load, memory, I/O, network etc.) seemed to be normal. After changing the BIOS power settings to "performance" in those specific cases, I was able to get rid of the performance issues.

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