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• Why is my program getting slower and slower ?

  - by RedWolf

  I'm using the program to send data from database to the Excel file . It works fine at the beginning and then becomes more and more slowly,finally it run out of the memory and the following error ocurrs: "java.lang.OutOfMemoryError: Java heap space...". The problem can be resolved by adding the jvm heap sapce.But the question is that it spends too much time to run out the program. After several minutes,it finished a loop with 4 seconds which can be finished with 0.5 seconds at the beginning . I can't found a solution to make it always run in a certain speed. Is it my code problem? Any clues on this? Here is the code: public void addAnswerRow(List<FinalUsers> finalUsersList,WritableWorkbook book){ if (finalUsersList.size() >0 ) { try { WritableSheet sheet = book.createSheet("Answer", 0); int colCount = 0; sheet.addCell(new Label(colCount++,0,"Number")); sheet.addCell(new Label(colCount++,0,"SchoolNumber")); sheet.addCell(new Label(colCount++,0,"District")); sheet.addCell(new Label(colCount++,0,"SchoolName")); sheet.setColumnView(1, 15); sheet.setColumnView(3, 25); List<Elements> elementsList = this.elementsManager.getObjectElementsByEduTypeAndQuestionnaireType(finalUsersList.get(0).getEducationType().getId(), this.getQuestionnaireByFinalUsersType(finalUsersList.get(0).getFinalUsersType().getId())); Collections.sort(elementsList, new Comparator<Elements>(){ public int compare(Elements o1, Elements o2) { for(int i=0; i< ( o1.getItemNO().length()>o2.getItemNO().length()? o2.getItemNO().length(): o1.getItemNO().length());i++){ if (CommonFun.isNumberic(o1.getItemNO().substring(0, o1.getItemNO().length()>3? 4: o1.getItemNO().length()-1)) && !CommonFun.isNumberic(o2.getItemNO().substring(0, o2.getItemNO().length()>3? 4: o2.getItemNO().length()-1))){ return 1; } if (!CommonFun.isNumberic(o1.getItemNO().substring(0, o1.getItemNO().length()>3? 4: o1.getItemNO().length()-1)) && CommonFun.isNumberic(o2.getItemNO().substring(0,o2.getItemNO().length()>3? 4:o2.getItemNO().length()-1))){ return -1; } if ( o1.getItemNO().charAt(i)!=o2.getItemNO().charAt(i) ){ return o1.getItemNO().charAt(i)-o2.getItemNO().charAt(i); } } return o1.getItemNO().length()> o2.getItemNO().length()? 1:-1; }}); for (Elements elements : elementsList){ sheet.addCell(new Label(colCount++,0,this.getTitlePre(finalUsersList.get(0).getFinalUsersType().getId(), finalUsersList.get(0).getEducationType().getId())+elements.getItemNO()+elements.getItem().getStem())); } int sheetRowCount =1; int sheetColCount =0; for(FinalUsers finalUsers : finalUsersList){ sheetColCount =0; sheet.addCell(new Label(sheetColCount++,sheetRowCount,String.valueOf(sheetRowCount))); sheet.addCell(new Label(sheetColCount++,sheetRowCount,finalUsers.getSchool().getSchoolNumber())); sheet.addCell(new Label(sheetColCount++,sheetRowCount,finalUsers.getSchool().getDistrict().getDistrictNumber().toString().trim())); sheet.addCell(new Label(sheetColCount++,sheetRowCount,finalUsers.getSchool().getName())); List<AnswerLog> answerLogList = this.answerLogManager.getAnswerLogByFinalUsers(finalUsers.getId()); Map<String,String> answerMap = new HashMap<String,String>(); for(AnswerLog answerLog :answerLogList ){ if (answerLog.getOptionsId() != null) { answerMap.put(answerLog.getElement().getItemNO(), this.getOptionsAnswer(answerLog.getOptionsId())); }else if (answerLog.getBlanks()!= null){ answerMap.put(answerLog.getElement().getItemNO(), answerLog.getBlanks()); }else{ answerMap.put(answerLog.getElement().getItemNO(), answerLog.getSubjectiveItemContent()); } } for (Elements elements : elementsList){ sheet.addCell(new Label(sheetColCount++,sheetRowCount,null==answerMap.get(elements.getItemNO())?"0":answerMap.get(elements.getItemNO()))); } sheetRowCount++; } book.write(); book.close(); } catch (IOException e) { // TODO Auto-generated catch block e.printStackTrace(); } catch (RowsExceededException e) { // TODO Auto-generated catch block e.printStackTrace(); } catch (WriteException e) { // TODO Auto-generated catch block e.printStackTrace(); } } }

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• WPA2 authentication fails on Ubuntu 12.04 using Rosewill RNX-N1

  - by user94156

  Decided to reduce the clutter in the house and replace a wired connection with a wireless one on my wife's system using USB network device Rosewill RNX-X1. I can see and connect to unprotected network, but WPA2 authentication repeatedly fails. RNX-X1 works on other systems (including TV); also have 2 of 'em and tried each. Worth noting that I recently switched from Comcast to CenturyLink and so switched routers. The system connected successfully to previous router (Linksys EA4500) using WPA2. Would think it is the router (Actiontec C1000A) but all other devices (TV, iPad, Windows, Blackberry, and Squeezebox) connect ok. Would appreciate some diagnostic guidance and insight (phrased for a newbie!) Tests to date: sudo lshw -class network *-network description: Ethernet interface product: RTL8111/8168B PCI Express Gigabit Ethernet controller vendor: Realtek Semiconductor Co., Ltd. physical id: 0 bus info: pci@0000:03:00.0 logical name: eth0 version: 01 serial: 00:e0:4d:30:40:a1 size: 10Mbit/s capacity: 1Gbit/s width: 64 bits clock: 33MHz capabilities: pm vpd msi pciexpress bus_master cap_list rom ethernet physical tp mii 10bt 10bt-fd 100bt 100bt-fd 1000bt 1000bt-fd autonegotiation configuration: autonegotiation=on broadcast=yes driver=r8169 driverversion=2.3LK-NAPI duplex=half firmware=N/A latency=0 link=no multicast=yes port=MII speed=10Mbit/s resources: irq:47 ioport:ac00(size=256) memory:fdcff000-fdcfffff memory:fdb00000-fdb1ffff *-network description: Wireless interface physical id: 1 bus info: usb@1:2 logical name: wlan1 serial: 00:02:6f:bd:30:a0 capabilities: ethernet physical wireless configuration: broadcast=yes driver=rt2800usb driverversion=3.2.0-31-generic firmware=0.29 link=no multicast=yes wireless=IEEE 802.11bgn sudo lspci -v 00:00.0 RAM memory: NVIDIA Corporation MCP67 Memory Controller (rev a2) Subsystem: Biostar Microtech Int'l Corp Device 3409 Flags: bus master, 66MHz, fast devsel, latency 0 Capabilities: [44] HyperTransport: Slave or Primary Interface Capabilities: [dc] HyperTransport: MSI Mapping Enable+ Fixed- 00:01.0 ISA bridge: NVIDIA Corporation MCP67 ISA Bridge (rev a2) Subsystem: Biostar Microtech Int'l Corp Device 3409 Flags: bus master, 66MHz, fast devsel, latency 0 00:01.1 SMBus: NVIDIA Corporation MCP67 SMBus (rev a2) Subsystem: Biostar Microtech Int'l Corp Device 3409 Flags: 66MHz, fast devsel, IRQ 11 I/O ports at fc00 [size=64] I/O ports at 1c00 [size=64] I/O ports at 1c40 [size=64] Capabilities: [44] Power Management version 2 Kernel driver in use: nForce2_smbus Kernel modules: i2c-nforce2 00:01.2 RAM memory: NVIDIA Corporation MCP67 Memory Controller (rev a2) Flags: 66MHz, fast devsel 00:02.0 USB controller: NVIDIA Corporation MCP67 OHCI USB 1.1 Controller (rev a2) (prog-if 10 [OHCI]) Subsystem: Biostar Microtech Int'l Corp Device 3409 Flags: bus master, 66MHz, fast devsel, latency 0, IRQ 23 Memory at fe02f000 (32-bit, non-prefetchable) [size=4K] Capabilities: [44] Power Management version 2 Kernel driver in use: ohci_hcd 00:02.1 USB controller: NVIDIA Corporation MCP67 EHCI USB 2.0 Controller (rev a2) (prog-if 20 [EHCI]) Subsystem: Biostar Microtech Int'l Corp Device 3409 Flags: bus master, 66MHz, fast devsel, latency 0, IRQ 22 Memory at fe02e000 (32-bit, non-prefetchable) [size=256] Capabilities: [44] Debug port: BAR=1 offset=0098 Capabilities: [80] Power Management version 2 Kernel driver in use: ehci_hcd 00:04.0 USB controller: NVIDIA Corporation MCP67 OHCI USB 1.1 Controller (rev a2) (prog-if 10 [OHCI]) Subsystem: Biostar Microtech Int'l Corp Device 3409 Flags: bus master, 66MHz, fast devsel, latency 0, IRQ 21 Memory at fe02d000 (32-bit, non-prefetchable) [size=4K] Capabilities: [44] Power Management version 2 Kernel driver in use: ohci_hcd 00:04.1 USB controller: NVIDIA Corporation MCP67 EHCI USB 2.0 Controller (rev a2) (prog-if 20 [EHCI]) Subsystem: Biostar Microtech Int'l Corp Device 3409 Flags: bus master, 66MHz, fast devsel, latency 0, IRQ 20 Memory at fe02c000 (32-bit, non-prefetchable) [size=256] Capabilities: [44] Debug port: BAR=1 offset=0098 Capabilities: [80] Power Management version 2 Kernel driver in use: ehci_hcd 00:06.0 IDE interface: NVIDIA Corporation MCP67 IDE Controller (rev a1) (prog-if 8a [Master SecP PriP]) Subsystem: Biostar Microtech Int'l Corp Device 3409 Flags: bus master, 66MHz, fast devsel, latency 0 [virtual] Memory at 000001f0 (32-bit, non-prefetchable) [size=8] [virtual] Memory at 000003f0 (type 3, non-prefetchable) [size=1] [virtual] Memory at 00000170 (32-bit, non-prefetchable) [size=8] [virtual] Memory at 00000370 (type 3, non-prefetchable) [size=1] I/O ports at f000 [size=16] Capabilities: [44] Power Management version 2 Kernel driver in use: pata_amd Kernel modules: pata_amd 00:07.0 Audio device: NVIDIA Corporation MCP67 High Definition Audio (rev a1) Subsystem: Biostar Microtech Int'l Corp Device 820c Flags: bus master, 66MHz, fast devsel, latency 0, IRQ 22 Memory at fe024000 (32-bit, non-prefetchable) [size=16K] Capabilities: [44] Power Management version 2 Capabilities: [50] MSI: Enable- Count=1/1 Maskable+ 64bit+ Capabilities: [6c] HyperTransport: MSI Mapping Enable- Fixed+ Kernel driver in use: snd_hda_intel Kernel modules: snd-hda-intel 00:08.0 PCI bridge: NVIDIA Corporation MCP67 PCI Bridge (rev a2) (prog-if 01 [Subtractive decode]) Flags: bus master, 66MHz, fast devsel, latency 0 Bus: primary=00, secondary=01, subordinate=01, sec-latency=32 I/O behind bridge: 0000c000-0000cfff Memory behind bridge: fdf00000-fdffffff Prefetchable memory behind bridge: fd000000-fd0fffff Capabilities: [b8] Subsystem: NVIDIA Corporation Device cb84 Capabilities: [8c] HyperTransport: MSI Mapping Enable- Fixed- 00:09.0 IDE interface: NVIDIA Corporation MCP67 AHCI Controller (rev a2) (prog-if 85 [Master SecO PriO]) Subsystem: Biostar Microtech Int'l Corp Device 5407 Flags: bus master, 66MHz, fast devsel, latency 0, IRQ 23 I/O ports at 09f0 [size=8] I/O ports at 0bf0 [size=4] I/O ports at 0970 [size=8] I/O ports at 0b70 [size=4] I/O ports at dc00 [size=16] Memory at fe02a000 (32-bit, non-prefetchable) [size=8K] Capabilities: [44] Power Management version 2 Capabilities: [8c] SATA HBA v1.0 Capabilities: [b0] MSI: Enable- Count=1/8 Maskable- 64bit+ Capabilities: [cc] HyperTransport: MSI Mapping Enable- Fixed+ Kernel driver in use: ahci 00:0b.0 PCI bridge: NVIDIA Corporation MCP67 PCI Express Bridge (rev a2) (prog-if 00 [Normal decode]) Flags: bus master, fast devsel, latency 0 Bus: primary=00, secondary=02, subordinate=02, sec-latency=0 I/O behind bridge: 0000b000-0000bfff Memory behind bridge: fde00000-fdefffff Prefetchable memory behind bridge: 00000000fdd00000-00000000fddfffff Capabilities: [40] Subsystem: NVIDIA Corporation Device 0000 Capabilities: [48] Power Management version 2 Capabilities: [50] MSI: Enable+ Count=1/2 Maskable- 64bit+ Capabilities: [60] HyperTransport: MSI Mapping Enable- Fixed- Capabilities: [80] Express Root Port (Slot+), MSI 00 Capabilities: [100] Virtual Channel Kernel driver in use: pcieport Kernel modules: shpchp 00:0c.0 PCI bridge: NVIDIA Corporation MCP67 PCI Express Bridge (rev a2) (prog-if 00 [Normal decode]) Flags: bus master, fast devsel, latency 0 Bus: primary=00, secondary=03, subordinate=03, sec-latency=0 I/O behind bridge: 0000a000-0000afff Memory behind bridge: fdc00000-fdcfffff Prefetchable memory behind bridge: 00000000fdb00000-00000000fdbfffff Capabilities: [40] Subsystem: NVIDIA Corporation Device 0000 Capabilities: [48] Power Management version 2 Capabilities: [50] MSI: Enable+ Count=1/2 Maskable- 64bit+ Capabilities: [60] HyperTransport: MSI Mapping Enable- Fixed- Capabilities: [80] Express Root Port (Slot+), MSI 00 Capabilities: [100] Virtual Channel Kernel driver in use: pcieport Kernel modules: shpchp 00:0d.0 PCI bridge: NVIDIA Corporation MCP67 PCI Express Bridge (rev a2) (prog-if 00 [Normal decode]) Flags: bus master, fast devsel, latency 0 Bus: primary=00, secondary=04, subordinate=04, sec-latency=0 I/O behind bridge: 00009000-00009fff Memory behind bridge: fda00000-fdafffff Prefetchable memory behind bridge: 00000000fd900000-00000000fd9fffff Capabilities: [40] Subsystem: NVIDIA Corporation Device 0000 Capabilities: [48] Power Management version 2 Capabilities: [50] MSI: Enable+ Count=1/2 Maskable- 64bit+ Capabilities: [60] HyperTransport: MSI Mapping Enable- Fixed- Capabilities: [80] Express Root Port (Slot+), MSI 00 Capabilities: [100] Virtual Channel Kernel driver in use: pcieport Kernel modules: shpchp 00:0e.0 PCI bridge: NVIDIA Corporation MCP67 PCI Express Bridge (rev a2) (prog-if 00 [Normal decode]) Flags: bus master, fast devsel, latency 0 Bus: primary=00, secondary=05, subordinate=05, sec-latency=0 I/O behind bridge: 00008000-00008fff Memory behind bridge: fd800000-fd8fffff Prefetchable memory behind bridge: 00000000fd700000-00000000fd7fffff Capabilities: [40] Subsystem: NVIDIA Corporation Device 0000 Capabilities: [48] Power Management version 2 Capabilities: [50] MSI: Enable+ Count=1/2 Maskable- 64bit+ Capabilities: [60] HyperTransport: MSI Mapping Enable- Fixed- Capabilities: [80] Express Root Port (Slot+), MSI 00 Capabilities: [100] Virtual Channel Kernel driver in use: pcieport Kernel modules: shpchp 00:0f.0 PCI bridge: NVIDIA Corporation MCP67 PCI Express Bridge (rev a2) (prog-if 00 [Normal decode]) Flags: bus master, fast devsel, latency 0 Bus: primary=00, secondary=06, subordinate=06, sec-latency=0 I/O behind bridge: 00007000-00007fff Memory behind bridge: fd600000-fd6fffff Prefetchable memory behind bridge: 00000000fd500000-00000000fd5fffff Capabilities: [40] Subsystem: NVIDIA Corporation Device 0000 Capabilities: [48] Power Management version 2 Capabilities: [50] MSI: Enable+ Count=1/2 Maskable- 64bit+ Capabilities: [60] HyperTransport: MSI Mapping Enable- Fixed- Capabilities: [80] Express Root Port (Slot+), MSI 00 Capabilities: [100] Virtual Channel Kernel driver in use: pcieport Kernel modules: shpchp 00:10.0 PCI bridge: NVIDIA Corporation MCP67 PCI Express Bridge (rev a2) (prog-if 00 [Normal decode]) Flags: bus master, fast devsel, latency 0 Bus: primary=00, secondary=07, subordinate=07, sec-latency=0 I/O behind bridge: 00006000-00006fff Memory behind bridge: fd400000-fd4fffff Prefetchable memory behind bridge: 00000000fd300000-00000000fd3fffff Capabilities: [40] Subsystem: NVIDIA Corporation Device 0000 Capabilities: [48] Power Management version 2 Capabilities: [50] MSI: Enable+ Count=1/2 Maskable- 64bit+ Capabilities: [60] HyperTransport: MSI Mapping Enable- Fixed- Capabilities: [80] Express Root Port (Slot+), MSI 00 Capabilities: [100] Virtual Channel Kernel driver in use: pcieport Kernel modules: shpchp 00:11.0 PCI bridge: NVIDIA Corporation MCP67 PCI Express Bridge (rev a2) (prog-if 00 [Normal decode]) Flags: bus master, fast devsel, latency 0 Bus: primary=00, secondary=08, subordinate=08, sec-latency=0 I/O behind bridge: 00005000-00005fff Memory behind bridge: fd200000-fd2fffff Prefetchable memory behind bridge: 00000000fd100000-00000000fd1fffff Capabilities: [40] Subsystem: NVIDIA Corporation Device 0000 Capabilities: [48] Power Management version 2 Capabilities: [50] MSI: Enable+ Count=1/2 Maskable- 64bit+ Capabilities: [60] HyperTransport: MSI Mapping Enable- Fixed- Capabilities: [80] Express Root Port (Slot+), MSI 00 Capabilities: [100] Virtual Channel Kernel driver in use: pcieport Kernel modules: shpchp 00:12.0 VGA compatible controller: NVIDIA Corporation C68 [GeForce 7050 PV / nForce 630a] (rev a2) (prog-if 00 [VGA controller]) Subsystem: Biostar Microtech Int'l Corp Device 1406 Flags: bus master, 66MHz, fast devsel, latency 0, IRQ 21 Memory at fb000000 (32-bit, non-prefetchable) [size=16M] Memory at e0000000 (64-bit, prefetchable) [size=256M] Memory at fc000000 (64-bit, non-prefetchable) [size=16M] [virtual] Expansion ROM at 80000000 [disabled] [size=128K] Capabilities: [48] Power Management version 2 Capabilities: [50] MSI: Enable- Count=1/1 Maskable- 64bit+ Kernel driver in use: nvidia Kernel modules: nvidia_current, nouveau, nvidiafb 00:18.0 Host bridge: Advanced Micro Devices [AMD] K8 [Athlon64/Opteron] HyperTransport Technology Configuration Flags: fast devsel Capabilities: [80] HyperTransport: Host or Secondary Interface 00:18.1 Host bridge: Advanced Micro Devices [AMD] K8 [Athlon64/Opteron] Address Map Flags: fast devsel 00:18.2 Host bridge: Advanced Micro Devices [AMD] K8 [Athlon64/Opteron] DRAM Controller Flags: fast devsel 00:18.3 Host bridge: Advanced Micro Devices [AMD] K8 [Athlon64/Opteron] Miscellaneous Control Flags: fast devsel Capabilities: [f0] Secure device <?> Kernel driver in use: k8temp Kernel modules: k8temp 03:00.0 Ethernet controller: Realtek Semiconductor Co., Ltd. RTL8111/8168B PCI Express Gigabit Ethernet controller (rev 01) Subsystem: Biostar Microtech Int'l Corp Device 2305 Flags: bus master, fast devsel, latency 0, IRQ 47 I/O ports at ac00 [size=256] Memory at fdcff000 (64-bit, non-prefetchable) [size=4K] [virtual] Expansion ROM at fdb00000 [disabled] [size=128K] Capabilities: [40] Power Management version 2 Capabilities: [48] Vital Product Data Capabilities: [50] MSI: Enable+ Count=1/2 Maskable- 64bit+ Capabilities: [60] Express Endpoint, MSI 00 Capabilities: [84] Vendor Specific Information: Len=4c <?> Capabilities: [100] Advanced Error Reporting Capabilities: [12c] Virtual Channel Capabilities: [148] Device Serial Number 32-00-00-00-10-ec-81-68 Capabilities: [154] Power Budgeting <?> Kernel driver in use: r8169 Kernel modules: r8169 sudo rfkill list all 2: phy2: Wireless LAN Soft blocked: no Hard blocked: no

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• WPA2 authentication fails using USB network devices (Linksys and Rosewill)

  - by Greg Youtz

  Decided to reduce the clutter in the house and replace a wired connection with a wireless one on my wife's system using USB network device Rosewill RNX-X1. I can see and connect to unprotected network, but WPA2 authentication repeatedly fails. Tried the same with a Linksys USB network adapter. Both failed to authenticate. Worth noting that I recently switched from Comcast to CenturyLink and so switched routers. The system connected successfully to previous router (Linksys EA4500) using WPA2. Would think it is the router (Actiontec C1000A) but all other devices (TV, iPad, Windows, Blackberry, and Squeezebox) connect ok. Would appreciate some diagnostic guidance and insight (phrased for a newbie!) Tests to date: sudo lshw -class network *-network description: Ethernet interface product: RTL8111/8168B PCI Express Gigabit Ethernet controller vendor: Realtek Semiconductor Co., Ltd. physical id: 0 bus info: pci@0000:03:00.0 logical name: eth0 version: 01 serial: 00:e0:4d:30:40:a1 size: 10Mbit/s capacity: 1Gbit/s width: 64 bits clock: 33MHz capabilities: pm vpd msi pciexpress bus_master cap_list rom ethernet physical tp mii 10bt 10bt-fd 100bt 100bt-fd 1000bt 1000bt-fd autonegotiation configuration: autonegotiation=on broadcast=yes driver=r8169 driverversion=2.3LK-NAPI duplex=half firmware=N/A latency=0 link=no multicast=yes port=MII speed=10Mbit/s resources: irq:47 ioport:ac00(size=256) memory:fdcff000-fdcfffff memory:fdb00000-fdb1ffff *-network description: Wireless interface physical id: 1 bus info: usb@1:2 logical name: wlan1 serial: 00:02:6f:bd:30:a0 capabilities: ethernet physical wireless configuration: broadcast=yes driver=rt2800usb driverversion=3.2.0-31-generic firmware=0.29 link=no multicast=yes wireless=IEEE 802.11bgn sudo lspci -v 00:00.0 RAM memory: NVIDIA Corporation MCP67 Memory Controller (rev a2) Subsystem: Biostar Microtech Int'l Corp Device 3409 Flags: bus master, 66MHz, fast devsel, latency 0 Capabilities: [44] HyperTransport: Slave or Primary Interface Capabilities: [dc] HyperTransport: MSI Mapping Enable+ Fixed- 00:01.0 ISA bridge: NVIDIA Corporation MCP67 ISA Bridge (rev a2) Subsystem: Biostar Microtech Int'l Corp Device 3409 Flags: bus master, 66MHz, fast devsel, latency 0 00:01.1 SMBus: NVIDIA Corporation MCP67 SMBus (rev a2) Subsystem: Biostar Microtech Int'l Corp Device 3409 Flags: 66MHz, fast devsel, IRQ 11 I/O ports at fc00 [size=64] I/O ports at 1c00 [size=64] I/O ports at 1c40 [size=64] Capabilities: [44] Power Management version 2 Kernel driver in use: nForce2_smbus Kernel modules: i2c-nforce2 00:01.2 RAM memory: NVIDIA Corporation MCP67 Memory Controller (rev a2) Flags: 66MHz, fast devsel 00:02.0 USB controller: NVIDIA Corporation MCP67 OHCI USB 1.1 Controller (rev a2) (prog-if 10 [OHCI]) Subsystem: Biostar Microtech Int'l Corp Device 3409 Flags: bus master, 66MHz, fast devsel, latency 0, IRQ 23 Memory at fe02f000 (32-bit, non-prefetchable) [size=4K] Capabilities: [44] Power Management version 2 Kernel driver in use: ohci_hcd 00:02.1 USB controller: NVIDIA Corporation MCP67 EHCI USB 2.0 Controller (rev a2) (prog-if 20 [EHCI]) Subsystem: Biostar Microtech Int'l Corp Device 3409 Flags: bus master, 66MHz, fast devsel, latency 0, IRQ 22 Memory at fe02e000 (32-bit, non-prefetchable) [size=256] Capabilities: [44] Debug port: BAR=1 offset=0098 Capabilities: [80] Power Management version 2 Kernel driver in use: ehci_hcd 00:04.0 USB controller: NVIDIA Corporation MCP67 OHCI USB 1.1 Controller (rev a2) (prog-if 10 [OHCI]) Subsystem: Biostar Microtech Int'l Corp Device 3409 Flags: bus master, 66MHz, fast devsel, latency 0, IRQ 21 Memory at fe02d000 (32-bit, non-prefetchable) [size=4K] Capabilities: [44] Power Management version 2 Kernel driver in use: ohci_hcd 00:04.1 USB controller: NVIDIA Corporation MCP67 EHCI USB 2.0 Controller (rev a2) (prog-if 20 [EHCI]) Subsystem: Biostar Microtech Int'l Corp Device 3409 Flags: bus master, 66MHz, fast devsel, latency 0, IRQ 20 Memory at fe02c000 (32-bit, non-prefetchable) [size=256] Capabilities: [44] Debug port: BAR=1 offset=0098 Capabilities: [80] Power Management version 2 Kernel driver in use: ehci_hcd 00:06.0 IDE interface: NVIDIA Corporation MCP67 IDE Controller (rev a1) (prog-if 8a [Master SecP PriP]) Subsystem: Biostar Microtech Int'l Corp Device 3409 Flags: bus master, 66MHz, fast devsel, latency 0 [virtual] Memory at 000001f0 (32-bit, non-prefetchable) [size=8] [virtual] Memory at 000003f0 (type 3, non-prefetchable) [size=1] [virtual] Memory at 00000170 (32-bit, non-prefetchable) [size=8] [virtual] Memory at 00000370 (type 3, non-prefetchable) [size=1] I/O ports at f000 [size=16] Capabilities: [44] Power Management version 2 Kernel driver in use: pata_amd Kernel modules: pata_amd 00:07.0 Audio device: NVIDIA Corporation MCP67 High Definition Audio (rev a1) Subsystem: Biostar Microtech Int'l Corp Device 820c Flags: bus master, 66MHz, fast devsel, latency 0, IRQ 22 Memory at fe024000 (32-bit, non-prefetchable) [size=16K] Capabilities: [44] Power Management version 2 Capabilities: [50] MSI: Enable- Count=1/1 Maskable+ 64bit+ Capabilities: [6c] HyperTransport: MSI Mapping Enable- Fixed+ Kernel driver in use: snd_hda_intel Kernel modules: snd-hda-intel 00:08.0 PCI bridge: NVIDIA Corporation MCP67 PCI Bridge (rev a2) (prog-if 01 [Subtractive decode]) Flags: bus master, 66MHz, fast devsel, latency 0 Bus: primary=00, secondary=01, subordinate=01, sec-latency=32 I/O behind bridge: 0000c000-0000cfff Memory behind bridge: fdf00000-fdffffff Prefetchable memory behind bridge: fd000000-fd0fffff Capabilities: [b8] Subsystem: NVIDIA Corporation Device cb84 Capabilities: [8c] HyperTransport: MSI Mapping Enable- Fixed- 00:09.0 IDE interface: NVIDIA Corporation MCP67 AHCI Controller (rev a2) (prog-if 85 [Master SecO PriO]) Subsystem: Biostar Microtech Int'l Corp Device 5407 Flags: bus master, 66MHz, fast devsel, latency 0, IRQ 23 I/O ports at 09f0 [size=8] I/O ports at 0bf0 [size=4] I/O ports at 0970 [size=8] I/O ports at 0b70 [size=4] I/O ports at dc00 [size=16] Memory at fe02a000 (32-bit, non-prefetchable) [size=8K] Capabilities: [44] Power Management version 2 Capabilities: [8c] SATA HBA v1.0 Capabilities: [b0] MSI: Enable- Count=1/8 Maskable- 64bit+ Capabilities: [cc] HyperTransport: MSI Mapping Enable- Fixed+ Kernel driver in use: ahci 00:0b.0 PCI bridge: NVIDIA Corporation MCP67 PCI Express Bridge (rev a2) (prog-if 00 [Normal decode]) Flags: bus master, fast devsel, latency 0 Bus: primary=00, secondary=02, subordinate=02, sec-latency=0 I/O behind bridge: 0000b000-0000bfff Memory behind bridge: fde00000-fdefffff Prefetchable memory behind bridge: 00000000fdd00000-00000000fddfffff Capabilities: [40] Subsystem: NVIDIA Corporation Device 0000 Capabilities: [48] Power Management version 2 Capabilities: [50] MSI: Enable+ Count=1/2 Maskable- 64bit+ Capabilities: [60] HyperTransport: MSI Mapping Enable- Fixed- Capabilities: [80] Express Root Port (Slot+), MSI 00 Capabilities: [100] Virtual Channel Kernel driver in use: pcieport Kernel modules: shpchp 00:0c.0 PCI bridge: NVIDIA Corporation MCP67 PCI Express Bridge (rev a2) (prog-if 00 [Normal decode]) Flags: bus master, fast devsel, latency 0 Bus: primary=00, secondary=03, subordinate=03, sec-latency=0 I/O behind bridge: 0000a000-0000afff Memory behind bridge: fdc00000-fdcfffff Prefetchable memory behind bridge: 00000000fdb00000-00000000fdbfffff Capabilities: [40] Subsystem: NVIDIA Corporation Device 0000 Capabilities: [48] Power Management version 2 Capabilities: [50] MSI: Enable+ Count=1/2 Maskable- 64bit+ Capabilities: [60] HyperTransport: MSI Mapping Enable- Fixed- Capabilities: [80] Express Root Port (Slot+), MSI 00 Capabilities: [100] Virtual Channel Kernel driver in use: pcieport Kernel modules: shpchp 00:0d.0 PCI bridge: NVIDIA Corporation MCP67 PCI Express Bridge (rev a2) (prog-if 00 [Normal decode]) Flags: bus master, fast devsel, latency 0 Bus: primary=00, secondary=04, subordinate=04, sec-latency=0 I/O behind bridge: 00009000-00009fff Memory behind bridge: fda00000-fdafffff Prefetchable memory behind bridge: 00000000fd900000-00000000fd9fffff Capabilities: [40] Subsystem: NVIDIA Corporation Device 0000 Capabilities: [48] Power Management version 2 Capabilities: [50] MSI: Enable+ Count=1/2 Maskable- 64bit+ Capabilities: [60] HyperTransport: MSI Mapping Enable- Fixed- Capabilities: [80] Express Root Port (Slot+), MSI 00 Capabilities: [100] Virtual Channel Kernel driver in use: pcieport Kernel modules: shpchp 00:0e.0 PCI bridge: NVIDIA Corporation MCP67 PCI Express Bridge (rev a2) (prog-if 00 [Normal decode]) Flags: bus master, fast devsel, latency 0 Bus: primary=00, secondary=05, subordinate=05, sec-latency=0 I/O behind bridge: 00008000-00008fff Memory behind bridge: fd800000-fd8fffff Prefetchable memory behind bridge: 00000000fd700000-00000000fd7fffff Capabilities: [40] Subsystem: NVIDIA Corporation Device 0000 Capabilities: [48] Power Management version 2 Capabilities: [50] MSI: Enable+ Count=1/2 Maskable- 64bit+ Capabilities: [60] HyperTransport: MSI Mapping Enable- Fixed- Capabilities: [80] Express Root Port (Slot+), MSI 00 Capabilities: [100] Virtual Channel Kernel driver in use: pcieport Kernel modules: shpchp 00:0f.0 PCI bridge: NVIDIA Corporation MCP67 PCI Express Bridge (rev a2) (prog-if 00 [Normal decode]) Flags: bus master, fast devsel, latency 0 Bus: primary=00, secondary=06, subordinate=06, sec-latency=0 I/O behind bridge: 00007000-00007fff Memory behind bridge: fd600000-fd6fffff Prefetchable memory behind bridge: 00000000fd500000-00000000fd5fffff Capabilities: [40] Subsystem: NVIDIA Corporation Device 0000 Capabilities: [48] Power Management version 2 Capabilities: [50] MSI: Enable+ Count=1/2 Maskable- 64bit+ Capabilities: [60] HyperTransport: MSI Mapping Enable- Fixed- Capabilities: [80] Express Root Port (Slot+), MSI 00 Capabilities: [100] Virtual Channel Kernel driver in use: pcieport Kernel modules: shpchp 00:10.0 PCI bridge: NVIDIA Corporation MCP67 PCI Express Bridge (rev a2) (prog-if 00 [Normal decode]) Flags: bus master, fast devsel, latency 0 Bus: primary=00, secondary=07, subordinate=07, sec-latency=0 I/O behind bridge: 00006000-00006fff Memory behind bridge: fd400000-fd4fffff Prefetchable memory behind bridge: 00000000fd300000-00000000fd3fffff Capabilities: [40] Subsystem: NVIDIA Corporation Device 0000 Capabilities: [48] Power Management version 2 Capabilities: [50] MSI: Enable+ Count=1/2 Maskable- 64bit+ Capabilities: [60] HyperTransport: MSI Mapping Enable- Fixed- Capabilities: [80] Express Root Port (Slot+), MSI 00 Capabilities: [100] Virtual Channel Kernel driver in use: pcieport Kernel modules: shpchp 00:11.0 PCI bridge: NVIDIA Corporation MCP67 PCI Express Bridge (rev a2) (prog-if 00 [Normal decode]) Flags: bus master, fast devsel, latency 0 Bus: primary=00, secondary=08, subordinate=08, sec-latency=0 I/O behind bridge: 00005000-00005fff Memory behind bridge: fd200000-fd2fffff Prefetchable memory behind bridge: 00000000fd100000-00000000fd1fffff Capabilities: [40] Subsystem: NVIDIA Corporation Device 0000 Capabilities: [48] Power Management version 2 Capabilities: [50] MSI: Enable+ Count=1/2 Maskable- 64bit+ Capabilities: [60] HyperTransport: MSI Mapping Enable- Fixed- Capabilities: [80] Express Root Port (Slot+), MSI 00 Capabilities: [100] Virtual Channel Kernel driver in use: pcieport Kernel modules: shpchp 00:12.0 VGA compatible controller: NVIDIA Corporation C68 [GeForce 7050 PV / nForce 630a] (rev a2) (prog-if 00 [VGA controller]) Subsystem: Biostar Microtech Int'l Corp Device 1406 Flags: bus master, 66MHz, fast devsel, latency 0, IRQ 21 Memory at fb000000 (32-bit, non-prefetchable) [size=16M] Memory at e0000000 (64-bit, prefetchable) [size=256M] Memory at fc000000 (64-bit, non-prefetchable) [size=16M] [virtual] Expansion ROM at 80000000 [disabled] [size=128K] Capabilities: [48] Power Management version 2 Capabilities: [50] MSI: Enable- Count=1/1 Maskable- 64bit+ Kernel driver in use: nvidia Kernel modules: nvidia_current, nouveau, nvidiafb 00:18.0 Host bridge: Advanced Micro Devices [AMD] K8 [Athlon64/Opteron] HyperTransport Technology Configuration Flags: fast devsel Capabilities: [80] HyperTransport: Host or Secondary Interface 00:18.1 Host bridge: Advanced Micro Devices [AMD] K8 [Athlon64/Opteron] Address Map Flags: fast devsel 00:18.2 Host bridge: Advanced Micro Devices [AMD] K8 [Athlon64/Opteron] DRAM Controller Flags: fast devsel 00:18.3 Host bridge: Advanced Micro Devices [AMD] K8 [Athlon64/Opteron] Miscellaneous Control Flags: fast devsel Capabilities: [f0] Secure device <?> Kernel driver in use: k8temp Kernel modules: k8temp 03:00.0 Ethernet controller: Realtek Semiconductor Co., Ltd. RTL8111/8168B PCI Express Gigabit Ethernet controller (rev 01) Subsystem: Biostar Microtech Int'l Corp Device 2305 Flags: bus master, fast devsel, latency 0, IRQ 47 I/O ports at ac00 [size=256] Memory at fdcff000 (64-bit, non-prefetchable) [size=4K] [virtual] Expansion ROM at fdb00000 [disabled] [size=128K] Capabilities: [40] Power Management version 2 Capabilities: [48] Vital Product Data Capabilities: [50] MSI: Enable+ Count=1/2 Maskable- 64bit+ Capabilities: [60] Express Endpoint, MSI 00 Capabilities: [84] Vendor Specific Information: Len=4c <?> Capabilities: [100] Advanced Error Reporting Capabilities: [12c] Virtual Channel Capabilities: [148] Device Serial Number 32-00-00-00-10-ec-81-68 Capabilities: [154] Power Budgeting <?> Kernel driver in use: r8169 Kernel modules: r8169 sudo rfkill list all 2: phy2: Wireless LAN Soft blocked: no Hard blocked: no Would appreciate insight on how to chase this down.

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• Can I use all my RAM for application data?

  - by gsedej

  Hi! I have yet another question about "where is my Linux memory" Question goes: can I use cache for application data? On my laptop I have 1GB ram. Situation after some time of work: browser takes 400MB and all other apps caa 300MB (quickly summed in system monitor). System monitor says I use 90% of RAM and I have already 200MB on swap. Laptop is getting slower when I start new things (e.g. open new tab in browser or open new Nautilus window). probably putting memory on swap So there should be 1200MB (ram+swap) used but all app I see uses only 600MB. Where are other 600MB? Out of this 600MB there is 400MB real RAM. I am not copying or any other massive IO activity. I read about Linux smartly uses all ram it has using buffers and cache. So, kernel (cache) uses 300MB. What if I don't want to have disk mirrored and I want to use memory for application data (e.g. new browser tab)? I don't need 200MB of mirrored disk data, because I (for example) won't use open the same photos on data partition I just seen. So can I use all my RAM for application data? (including browser, desktop, xorg, other services). How?

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• Multiple Denial of Service (DoS) vulnerabilities in FreeType

  - by chandan

  CVE DescriptionCVSSv2 Base ScoreComponentProduct and Resolution CVE-2012-1126 Improper Restriction of Operations within the Bounds of a Memory Buffer vulnerability 10.0 FreeType Font Engine Solaris 11 Contact Support Solaris 10 SPARC: 119812-16 X86: 119813-18 Solaris 9 Contact Support CVE-2012-1127 Improper Restriction of Operations within the Bounds of a Memory Buffer vulnerability 9.3 CVE-2012-1128 Improper Restriction of Operations within the Bounds of a Memory Buffer vulnerability 9.3 CVE-2012-1129 Improper Restriction of Operations within the Bounds of a Memory Buffer vulnerability 9.3 CVE-2012-1130 Improper Restriction of Operations within the Bounds of a Memory Buffer vulnerability 9.3 CVE-2012-1131 Improper Restriction of Operations within the Bounds of a Memory Buffer vulnerability 9.3 CVE-2012-1132 Improper Restriction of Operations within the Bounds of a Memory Buffer vulnerability 9.3 CVE-2012-1133 Improper Restriction of Operations within the Bounds of a Memory Buffer vulnerability 9.3 CVE-2012-1134 Improper Restriction of Operations within the Bounds of a Memory Buffer vulnerability 9.3 CVE-2012-1135 Improper Restriction of Operations within the Bounds of a Memory Buffer vulnerability 9.3 CVE-2012-1136 Improper Restriction of Operations within the Bounds of a Memory Buffer vulnerability 9.3 CVE-2012-1137 Improper Restriction of Operations within the Bounds of a Memory Buffer vulnerability 9.3 CVE-2012-1138 Improper Restriction of Operations within the Bounds of a Memory Buffer vulnerability 9.3 CVE-2012-1139 Improper Restriction of Operations within the Bounds of a Memory Buffer vulnerability 9.3 CVE-2012-1140 Improper Restriction of Operations within the Bounds of a Memory Buffer vulnerability 9.3 CVE-2012-1141 Improper Restriction of Operations within the Bounds of a Memory Buffer vulnerability 9.3 CVE-2012-1142 Improper Restriction of Operations within the Bounds of a Memory Buffer vulnerability 9.3 CVE-2012-1143 Numeric Errors vulnerability 4.3 CVE-2012-1144 Improper Restriction of Operations within the Bounds of a Memory Buffer vulnerability 9.3 This notification describes vulnerabilities fixed in third-party components that are included in Sun's product distribution.Information about vulnerabilities affecting Oracle Sun products can be found on Oracle Critical Patch Updates and Security Alerts page.

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• higher cpu usage in ubuntu 12.04 than windows 7

  - by Medya

  Hi I have a Intel Core i5 with 6GB of Ram using ubuntu 12.04 64bit. I noticed that whenever I run chrome which is the faster browser for me in linux) when I watch youtube, the CPU usage for Chrome is at least 13% and sometimes even 30% . but in Windows 7 same thing (youtube on chrome) rarely uses more than 6% of my CPU usage. I also notice my laptop is so hot in ubuntu 12.04 and the fan is working all the time, while in windows the laptop is so silent and the fan doesnt make much noise all the time and not as warm as in linux. is it like that for every one or is it just me?

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• Software license restricting commercial usage like CC BY-NC-SA

  - by Nick

  I want to distribute my software under license like Creative Commons Attribution - Non commercial - Share Alike license, i.e. Redistribution of source code and binaries is freely. Modified version of program have to be distributed under the same license. Attribution to original project should be supplied to. Restrict any kind of commercial usage. However CC does not recommend to use their licenses for software. Is there this kind of software license I could apply? Better if public license, but as far as I know US laws says that only EULA could restrict usage of received copy?

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• Suspend computer on idle if CPU usage is low (windows tip)

  How to combine Windows Scheduler, PStools and a small custom program to suspend your computer on idle if CPU usage is low

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• CPU Usage in Very Large Coherence Clusters

  - by jpurdy

  When sizing Coherence installations, one of the complicating factors is that these installations (by their very nature) tend to be application-specific, with some being large, memory-intensive caches, with others acting as I/O-intensive transaction-processing platforms, and still others performing CPU-intensive calculations across the data grid. Regardless of the primary resource requirements, Coherence sizing calculations are inherently empirical, in that there are so many permutations that a simple spreadsheet approach to sizing is rarely optimal (though it can provide a good starting estimate). So we typically recommend measuring actual resource usage (primarily CPU cycles, network bandwidth and memory) at a given load, and then extrapolating from those measurements. Of course there may be multiple types of load, and these may have varying degrees of correlation -- for example, an increased request rate may drive up the number of objects "pinned" in memory at any point, but the increase may be less than linear if those objects are naturally shared by concurrent requests. But for most reasonably-designed applications, a linear resource model will be reasonably accurate for most levels of scale. However, at extreme scale, sizing becomes a bit more complicated as certain cluster management operations -- while very infrequent -- become increasingly critical. This is because certain operations do not naturally tend to scale out. In a small cluster, sizing is primarily driven by the request rate, required cache size, or other application-driven metrics. In larger clusters (e.g. those with hundreds of cluster members), certain infrastructure tasks become intensive, in particular those related to members joining and leaving the cluster, such as introducing new cluster members to the rest of the cluster, or publishing the location of partitions during rebalancing. These tasks have a strong tendency to require all updates to be routed via a single member for the sake of cluster stability and data integrity. Fortunately that member is dynamically assigned in Coherence, so it is not a single point of failure, but it may still become a single point of bottleneck (until the cluster finishes its reconfiguration, at which point this member will have a similar load to the rest of the members). The most common cause of scaling issues in large clusters is disabling multicast (by configuring well-known addresses, aka WKA). This obviously impacts network usage, but it also has a large impact on CPU usage, primarily since the senior member must directly communicate certain messages with every other cluster member, and this communication requires significant CPU time. In particular, the need to notify the rest of the cluster about membership changes and corresponding partition reassignments adds stress to the senior member. Given that portions of the network stack may tend to be single-threaded (both in Coherence and the underlying OS), this may be even more problematic on servers with poor single-threaded performance. As a result of this, some extremely large clusters may be configured with a smaller number of partitions than ideal. This results in the size of each partition being increased. When a cache server fails, the other servers will use their fractional backups to recover the state of that server (and take over responsibility for their backed-up portion of that state). The finest granularity of this recovery is a single partition, and the single service thread can not accept new requests during this recovery. Ordinarily, recovery is practically instantaneous (it is roughly equivalent to the time required to iterate over a set of backup backing map entries and move them to the primary backing map in the same JVM). But certain factors can increase this duration drastically (to several seconds): large partitions, sufficiently slow single-threaded CPU performance, many or expensive indexes to rebuild, etc. The solution of course is to mitigate each of those factors but in many cases this may be challenging. Larger clusters also lead to the temptation to place more load on the available hardware resources, spreading CPU resources thin. As an example, while we've long been aware of how garbage collection can cause significant pauses, it usually isn't viewed as a major consumer of CPU (in terms of overall system throughput). Typically, the use of a concurrent collector allows greater responsiveness by minimizing pause times, at the cost of reducing system throughput. However, at a recent engagement, we were forced to turn off the concurrent collector and use a traditional parallel "stop the world" collector to reduce CPU usage to an acceptable level. In summary, there are some less obvious factors that may result in excessive CPU consumption in a larger cluster, so it is even more critical to test at full scale, even though allocating sufficient hardware may often be much more difficult for these large clusters.

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• How do i fix the slow scroll in browsers and high XOrg cpu usage

  - by Virgil

  I am facing an issue while scrolling in browsers(firefox, chrome, and opera) , scroll is jagged and slow. Also when scrolling the cpu usage spikes. I am currently running ubuntu natty(beta 1), switched from ubuntu 10.10 where the problem was worse. I am using the nvidia beta driver, which ubuntu installed automatically. My graphic card is nvidia Quadro NVS 150M. I tried running ubuntu without the effects on , but when using multiple applications at the same time xorg usage spikes again. Additional info: 2GB of RAM and an intel core 2 duo processor. Any help would be greatly appreciated. Thanks in advance!

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• Are there any off the shelf solutions for feature use analysis?

  - by Riviera

  I write a set of productivity tools that sells online and have tens of thousands of users. While we do get very good feedback, this tens to come from only the most vocal users, so we fear we might be missing the big picture. We would like to know if there is any off the shelf (or nearly so) solution to capture usage of different features and to report usage patterns and trends over time. Note: These tools are native apps, not web-based. I know about Google Analytics and the like. They're great, but I'm looking for native code solutions.

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• Google Analytics: Track user usage and flow

  - by Quintin Par

  Can someone help to query Google analytics to track a specific user behavior and usage pattern? Currently I pass user id’s to GA as _setCustomVar(2, 'id', id, 1); This is session based. But I am yet to master how I can utilize this to view usage pattern & behavior for the passed id. Say, I need to understand the visualization flow for one id or the page view count for that id etc Rephrasing, can I filter all existing reports for a specific id that I can select?

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• iphone: Help with AudioToolbox Leak: Stack trace/code included here...

  - by editor guy

  Part of this app is a "Scream" button that plays random screams from cast members of a TV show. I have to bang on the app quite a while to see a memory leak in Instruments, but it's there, occasionally coming up (every 45 seconds to 2 minutes.) The leak is 3.50kb when it occurs. Haven't been able to crack it for several hours. Any help appreciated. Instruments says this is the offending code line: [appSoundPlayer play]; that's linked to from line 9 of the below stack trace: 0 libSystem.B.dylib malloc 1 libSystem.B.dylib pthread_create 2 AudioToolbox CAPThread::Start() 3 AudioToolbox GenericRunLoopThread::Start() 4 AudioToolbox AudioQueueNew(bool, AudioStreamBasicDescription const*, TCACallback const&, CACallbackTarget const&, unsigned long, OpaqueAudioQueue*) 5 AudioToolbox AudioQueueNewOutput 6 AVFoundation allocAudioQueue(AVAudioPlayer, AudioPlayerImpl*) 7 AVFoundation prepareToPlayQueue(AVAudioPlayer*, AudioPlayerImpl*) 8 AVFoundation -[AVAudioPlayer prepareToPlay] 9 Scream Queens -[ScreamViewController scream:] /Users/laptop2/Desktop/ScreamQueens Versions/ScreamQueens25/Scream Queens/Classes/../ScreamViewController.m:210 10 CoreFoundation -[NSObject performSelector:withObject:withObject:] 11 UIKit -[UIApplication sendAction:to:from:forEvent:] 12 UIKit -[UIApplication sendAction:toTarget:fromSender:forEvent:] 13 UIKit -[UIControl sendAction:to:forEvent:] 14 UIKit -[UIControl(Internal) _sendActionsForEvents:withEvent:] 15 UIKit -[UIControl touchesEnded:withEvent:] 16 UIKit -[UIWindow _sendTouchesForEvent:] 17 UIKit -[UIWindow sendEvent:] 18 UIKit -[UIApplication sendEvent:] 19 UIKit _UIApplicationHandleEvent 20 GraphicsServices PurpleEventCallback 21 CoreFoundation CFRunLoopRunSpecific 22 CoreFoundation CFRunLoopRunInMode 23 GraphicsServices GSEventRunModal 24 UIKit -[UIApplication _run] 25 UIKit UIApplicationMain 26 Scream Queens main /Users/laptop2/Desktop/ScreamQueens Versions/ScreamQueens25/Scream Queens/main.m:14 27 Scream Queens start Here's .h: #import <UIKit/UIKit.h> #import <AVFoundation/AVFoundation.h> #import <MediaPlayer/MediaPlayer.h> #import <AudioToolbox/AudioToolbox.h> #import <MessageUI/MessageUI.h> #import <MessageUI/MFMailComposeViewController.h> @interface ScreamViewController : UIViewController <UIApplicationDelegate, AVAudioPlayerDelegate, MFMailComposeViewControllerDelegate> { //AudioPlayer related AVAudioPlayer *appSoundPlayer; NSURL *soundFileURL; BOOL interruptedOnPlayback; BOOL playing; //Scream button related IBOutlet UIButton *screamButton; int currentScreamIndex; NSString *currentScream; NSMutableArray *screams; NSMutableArray *personScreaming; NSMutableArray *photoArray; int currentSayingsIndex; NSString *currentButtonSaying; NSMutableArray *funnyButtonSayings; IBOutlet UILabel *funnyButtonSayingsLabel; IBOutlet UILabel *personScreamingField; IBOutlet UIImageView *personScreamingImage; //Mailing the scream related IBOutlet UILabel *mailStatusMessage; IBOutlet UIButton *shareButton; } //AudioPlayer related @property (nonatomic, retain) AVAudioPlayer *appSoundPlayer; @property (nonatomic, retain) NSURL *soundFileURL; @property (readwrite) BOOL interruptedOnPlayback; @property (readwrite) BOOL playing; //Scream button related @property (nonatomic, retain) UIButton *screamButton; @property (nonatomic, retain) NSMutableArray *screams; @property (nonatomic, retain) NSMutableArray *personScreaming; @property (nonatomic, retain) NSMutableArray *photoArray; @property (nonatomic, retain) UILabel *personScreamingField; @property (nonatomic, retain) UIImageView *personScreamingImage; @property (nonatomic, retain) NSMutableArray *funnyButtonSayings; @property (nonatomic, retain) UILabel *funnyButtonSayingsLabel; //Mailing the scream related @property (nonatomic, retain) IBOutlet UILabel *mailStatusMessage; @property (nonatomic, retain) IBOutlet UIButton *shareButton; //Scream Button - (IBAction) scream: (id) sender; //Mail the scream - (IBAction) showPicker: (id)sender; - (void)displayComposerSheet; - (void)launchMailAppOnDevice; @end Here's the top of .m: #import "ScreamViewController.h" //top of code has Audio session callback function for responding to audio route changes (from Apple's code), then my code continues... @implementation ScreamViewController @synthesize appSoundPlayer; // AVAudioPlayer object for playing the selected scream @synthesize soundFileURL; // Path to the scream @synthesize interruptedOnPlayback; // Was application interrupted during audio playback @synthesize playing; // Track playing/not playing state @synthesize screamButton; //Press this button, girls scream. @synthesize screams; //Mutable array holding strings pointing to sound files of screams. @synthesize personScreaming; //Mutable array tracking the person doing the screaming @synthesize photoArray; //Mutable array holding strings pointing to photos of screaming girls @synthesize personScreamingField; //Field updates to announce which girl is screaming. @synthesize personScreamingImage; //Updates to show image of the screamer. @synthesize funnyButtonSayings; //Mutable array holding the sayings @synthesize funnyButtonSayingsLabel; //Label that updates with the funnyButtonSayings @synthesize mailStatusMessage; //did the email go out @synthesize shareButton; //share scream via email Next line begins the block with the offending code: - (IBAction) scream: (id) sender { //Play a click sound effect SystemSoundID soundID; NSString *sfxPath = [[NSBundle mainBundle] pathForResource:@"aClick" ofType:@"caf"]; AudioServicesCreateSystemSoundID((CFURLRef)[NSURL fileURLWithPath:sfxPath],&soundID); AudioServicesPlaySystemSound (soundID); // Because someone may slam the scream button over and over, //must stop current sound, then begin next if ([self appSoundPlayer] != nil) { [[self appSoundPlayer] setDelegate:nil]; [[self appSoundPlayer] stop]; [self setAppSoundPlayer: nil]; } //after selecting a random index in the array (did that in View Did Load), //we move to the next scream on each click. //First check... //Are we past the end of the array? if (currentScreamIndex == [screams count]) { currentScreamIndex = 0; } //Get the string at the index in the personScreaming array currentScream = [screams objectAtIndex: currentScreamIndex]; //Get the string at the index in the personScreaming array NSString *screamer = [personScreaming objectAtIndex:currentScreamIndex]; //Log the string to the console NSLog (@"playing scream: %@", screamer); // Display the string in the personScreamingField field NSString *listScreamer = [NSString stringWithFormat:@"scream by: %@", screamer]; [personScreamingField setText:listScreamer]; // Gets the file system path to the scream to play. NSString *soundFilePath = [[NSBundle mainBundle] pathForResource: currentScream ofType: @"caf"]; // Converts the sound's file path to an NSURL object NSURL *newURL = [[NSURL alloc] initFileURLWithPath: soundFilePath]; self.soundFileURL = newURL; [newURL release]; [[AVAudioSession sharedInstance] setDelegate: self]; [[AVAudioSession sharedInstance] setCategory: AVAudioSessionCategoryPlayback error: nil]; // Registers the audio route change listener callback function AudioSessionAddPropertyListener ( kAudioSessionProperty_AudioRouteChange, audioRouteChangeListenerCallback, self ); // Activates the audio session. NSError *activationError = nil; [[AVAudioSession sharedInstance] setActive: YES error: &activationError]; // Instantiates the AVAudioPlayer object, initializing it with the sound AVAudioPlayer *newPlayer = [[AVAudioPlayer alloc] initWithContentsOfURL: soundFileURL error: nil]; //Error check and continue if (newPlayer != nil) { self.appSoundPlayer = newPlayer; [newPlayer release]; [appSoundPlayer prepareToPlay]; [appSoundPlayer setVolume: 1.0]; [appSoundPlayer setDelegate:self]; //NEXT LINE IS FLAGGED BY INSTRUMENTS AS LEAKY [appSoundPlayer play]; playing = YES; //Get the string at the index in the photoArray array NSString *screamerPic = [photoArray objectAtIndex:currentScreamIndex]; //Log the string to the console NSLog (@"displaying photo: %@", screamerPic); // Display the image of the person screaming personScreamingImage.image = [UIImage imageNamed:screamerPic]; //show the share button shareButton.hidden = NO; mailStatusMessage.hidden = NO; mailStatusMessage.text = @"share!"; //Get the string at the index in the funnySayings array currentSayingsIndex = random() % [funnyButtonSayings count]; currentButtonSaying = [funnyButtonSayings objectAtIndex: currentSayingsIndex]; NSString *theSaying = [funnyButtonSayings objectAtIndex:currentSayingsIndex]; [funnyButtonSayingsLabel setText: theSaying]; currentScreamIndex++; } } Here's my dealloc: - (void)dealloc { [appSoundPlayer stop]; [appSoundPlayer release], appSoundPlayer = nil; [screamButton release], screamButton = nil; [mailStatusMessage release], mailStatusMessage = nil; [personScreamingField release], personScreamingField = nil; [personScreamingImage release], personScreamingImage = nil; [funnyButtonSayings release], funnyButtonSayings = nil; [funnyButtonSayingsLabel release], funnyButtonSayingsLabel = nil; [screams release], screams = nil; [personScreaming release], personScreaming = nil; [soundFileURL release]; [super dealloc]; } @end Thanks so much for reading this far! Any input appreciated.

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• PHP unable to allocate memory.

  - by AlReece45

  On my way to the office this morning, every website on our shared VPS started giving the same error (several times, not the typical memory_limit error which is fatal): Warning: Unknown: Unable to allocate memory for pool. in Unknown on line 0 The shared server is a 64-bit OpenVZ container running cPanel. There are only ~6 VPSes on the host-- this is the largest one at only 4GB. The host itself has 24GB RAM. As the below graphs show, the memory usage on the host and VPS are both rather low. CPU Usage/Disk/Host all seem to be normal. RlimitMem was set to 583653034, yet the memory usage is about the same as it usually is. Apache 2.2, PHP 5.2 (mod_php) Restarting Apache has corrected the problem for now. However, I'd like to prevent it from happening again and I'm not sure what was limiting the memory. RlimitMem was set to 583653034, yet the memory usage is about the same as it usually is. There's seems to be plenty of memory: what caused this error? VPS Memory Usage Host Memory Usage APC Information apc.ttl=0 apc.shm_size=0 apc.mmap_file_mask=(blank) 1 Segment(s) with 32.0 MBytes (mmap memory, pthread mutex locking)

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• Very high Magento/Apache memory usage even without visitors (are we fooled by our hosting company?)

  - by MrDobalina

  I am no server guy and we have issues with our speed so I come here asking for advise. We have a VPS with 2 cores and 2gb of RAM at a Magento specialized hosting company. Over the course of the last weeks our site speed has gotten worse, even though our store is new, has less than 1000 SKUs and not even 100 visitos a day. At magespeedtest.com we only get 1.87 trans/sec @ 2.11 secs each with a mere 5 concurrent users. Our magento log files are clean, we have no huge database tables or anything like that. When we take a look at our server real time stats, we see that the memory usage jumped up from about 34% to 71% and now 82% in just a few days in idle, with no visitors on the site. Our hosting company said that we do not need to worry about that as it`s maybe related to mysql which creates buffers (which are maybe not even actually being used) and what is important is CPU and swap - stats are ok here. They also said that the low benchmark scores are caused by bad extensions or template modifications on our side. We are not sure if we can trust that statement as we only have 4 plugins installed (all from aheadworks and amasty which are known to be one of the best magento extension developers). Our template modifications are purely html and css, no modifications to the php code. Our pagespeed is ranked with 93/100 in firebug and Magento is properly configured, so the problem really just gets obvious when there are a handful of users on the site at the same time. Can anyone confirm our hosting`s statement about memory usage and where can I start looking for a solution?

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• CPU Usage relative to number of users? - ASP.Net Application

  - by soldieraman

  My Asp.net application uses 25-30% of the CPU on a test server which has 600 MB Ram on it. I can see the asp_wb process taking that much percentage of CPU. This is when I am testing using one user. How many users can the server afford then without falling over? Is there a relationship between the CPU Usage and number of user aka if there are 2 users my application will sky rocket to 60% of memory usage? Or does/Should/How does the server handle this?

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• Are spinlocks a good choice for a memory allocator?

  - by dsimcha

  I've suggested to the maintainers of the D programming language runtime a few times that the memory allocator/garbage collector should use spinlocks instead of regular OS critical sections. This hasn't really caught on. Here are the reasons I think spinlocks would be better: At least in synthetic benchmarks that I did, it's several times faster than OS critical sections when there's contention for the memory allocator/GC lock. Edit: Empirically, using spinlocks didn't even have measurable overhead in a single-core environment, probably because locks need to be held for such a short period of time in a memory allocator. Memory allocations and similar operations usually take a small fraction of a timeslice, and even a small fraction of the time a context switch takes, making it silly to context switch in the case of contention. A garbage collection in the implementation in question stops the world anyhow. There won't be any spinning during a collection. Are there any good reasons not to use spinlocks in a memory allocator/garbage collector implementation?

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• Why do dicts of defaultdict(int)'s use so much memory? (and other simple python performance question

  - by dukhat

  import numpy as num from collections import defaultdict topKeys = range(16384) keys = range(8192) table = dict((k,defaultdict(int)) for k in topKeys) dat = num.zeros((16384,8192), dtype="int32") print "looping begins" #how much memory should this use? I think it shouldn't use more that a few #times the memory required to hold (16384*8192) int32's (512 mb), but #it uses 11 GB! for k in topKeys: for j in keys: dat[k,j] = table[k][j] print "done" What is going on here? Furthermore, this similar script takes eons to run compared to the first one, and also uses an absurd quantity of memory. topKeys = range(16384) keys = range(8192) table = [(j,0) for k in topKeys for j in keys] I guess python ints might be 64 bit ints, which would account for some of this, but do these relatively natural and simple constructions really produce such a massive overhead? I guess these scripts show that they do, so my question is: what exactly is causing the high memory usage in the first script and the long runtime and high memory usage of the second script and is there any way to avoid these costs?

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• On Windows and Windows 7's Task Manager, why Memory is 1118MB Available but only 62MB Free? [closed]

  - by Jian Lin

  Possible Duplicate: Windows 7 memory usage What are the "Cached", "Available", and "Free" memory in the following picture (From Windows 7's Task Manager). If it is 1118MB Available, then why isn't it Free (to use)? As I understand it, if a bowl of noodle is available, that doesn't mean it is free... it may still cost $7. But what about in the Task Manager, when it is Available, it is also not Free? Does it cost $2 per MB? What about the "Cached"... What exactly is the Cached Memory? We may put some hard disk data in RAM and so we cache the data in RAM, for faster access (that's the operating system's job). So the Total Physical RAM is 6GB, what is the 1106 Cached? Cached in where? Caching physical RAM in ... some where? It is also strange that the Cached value is sometimes higher and sometimes lower than the Available value. Can somebody who is knowledgeable about this shred some light on these meanings?

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• ROracle support for TimesTen In-Memory Database

  - by Sam Drake

  Today's guest post comes from Jason Feldhaus, a Consulting Member of Technical Staff in the TimesTen Database organization at Oracle.  He shares with us a sample session using ROracle with the TimesTen In-Memory database.  Beginning in version 1.1-4, ROracle includes support for the Oracle Times Ten In-Memory Database, version 11.2.2. TimesTen is a relational database providing very fast and high throughput through its memory-centric architecture.  TimesTen is designed for low latency, high-volume data, and event and transaction management. A TimesTen database resides entirely in memory, so no disk I/O is required for transactions and query operations. TimesTen is used in applications requiring very fast and predictable response time, such as real-time financial services trading applications and large web applications. TimesTen can be used as the database of record or as a relational cache database to Oracle Database. ROracle provides an interface between R and the database, providing the rich functionality of the R statistical programming environment using the SQL query language. ROracle uses the OCI libraries to handle database connections, providing much better performance than standard ODBC.The latest ROracle enhancements include: Support for Oracle TimesTen In-Memory Database Support for Date-Time using R's POSIXct/POSIXlt data types RAW, BLOB and BFILE data type support Option to specify number of rows per fetch operation Option to prefetch LOB data Break support using Ctrl-C Statement caching support Times Ten 11.2.2 contains enhanced support for analytics workloads and complex queries: Analytic functions: AVG, SUM, COUNT, MAX, MIN, DENSE_RANK, RANK, ROW_NUMBER, FIRST_VALUE and LAST_VALUE Analytic clauses: OVER PARTITION BY and OVER ORDER BY Multidimensional grouping operators: Grouping clauses: GROUP BY CUBE, GROUP BY ROLLUP, GROUP BY GROUPING SETS Grouping functions: GROUP, GROUPING_ID, GROUP_ID WITH clause, which allows repeated references to a named subquery block Aggregate expressions over DISTINCT expressions General expressions that return a character string in the source or a pattern within the LIKE predicate Ability to order nulls first or last in a sort result (NULLS FIRST or NULLS LAST in the ORDER BY clause) Note: Some functionality is only available with Oracle Exalytics, refer to the TimesTen product licensing document for details. Connecting to TimesTen is easy with ROracle. Simply install and load the ROracle package and load the driver. > install.packages("ROracle") > library(ROracle) Loading required package: DBI > drv <- dbDriver("Oracle") Once the ROracle package is installed, create a database connection object and connect to a TimesTen direct driver DSN as the OS user. > conn <- dbConnect(drv, username ="", password="", dbname = "localhost/SampleDb_1122:timesten_direct") You have the option to report the server type - Oracle or TimesTen? > print (paste ("Server type =", dbGetInfo (conn)$serverType)) [1] "Server type = TimesTen IMDB" To create tables in the database using R data frame objects, use the function dbWriteTable. In the following example we write the built-in iris data frame to TimesTen. The iris data set is a small example data set containing 150 rows and 5 columns. We include it here not to highlight performance, but so users can easily run this example in their R session. > dbWriteTable (conn, "IRIS", iris, overwrite=TRUE, ora.number=FALSE) [1] TRUE Verify that the newly created IRIS table is available in the database. To list the available tables and table columns in the database, use dbListTables and dbListFields, respectively. > dbListTables (conn) [1] "IRIS" > dbListFields (conn, "IRIS") [1] "SEPAL.LENGTH" "SEPAL.WIDTH" "PETAL.LENGTH" "PETAL.WIDTH" "SPECIES" To retrieve a summary of the data from the database we need to save the results to a local object. The following call saves the results of the query as a local R object, iris.summary. The ROracle function dbGetQuery is used to execute an arbitrary SQL statement against the database. When connected to TimesTen, the SQL statement is processed completely within main memory for the fastest response time. > iris.summary <- dbGetQuery(conn, 'SELECT SPECIES, AVG ("SEPAL.LENGTH") AS AVG_SLENGTH, AVG ("SEPAL.WIDTH") AS AVG_SWIDTH, AVG ("PETAL.LENGTH") AS AVG_PLENGTH, AVG ("PETAL.WIDTH") AS AVG_PWIDTH FROM IRIS GROUP BY ROLLUP (SPECIES)') > iris.summary SPECIES AVG_SLENGTH AVG_SWIDTH AVG_PLENGTH AVG_PWIDTH 1 setosa 5.006000 3.428000 1.462 0.246000 2 versicolor 5.936000 2.770000 4.260 1.326000 3 virginica 6.588000 2.974000 5.552 2.026000 4 <NA> 5.843333 3.057333 3.758 1.199333 Finally, disconnect from the TimesTen Database. > dbCommit (conn) [1] TRUE > dbDisconnect (conn) [1] TRUE We encourage you download Oracle software for evaluation from the Oracle Technology Network. See these links for our software: Times Ten In-Memory Database,  ROracle.  As always, we welcome comments and questions on the TimesTen and  Oracle R technical forums.

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• Am I getting the right memory for my motherboard?

  - by Daniel Carvalho

  Hi technophiles; I have a Gigabyte GA-EP45-DS motherboard. Also, the memory that came with my computer was two Transcend aXe RAM 1066MHZ 1GB modules. The thing is, I noticed that my motherboard has "DDR2 1200" written on it. This concerns me, have I bought slower memory than my computer is supposed to have ideally? Now, I'm not super concerned at a granular level about the best optimal RAM with the best CAS latency etc... but I do hope at least that I've got the right speed. Now, as far as I know, there is no such thing as ram at 1200MHZ? Am I right? You see, because I'm thinking of getting more RAM now, before I can't find the same type or speed any-more and just want to make sure it's the right thing. Furthermore, if the memory is slower than what I should be getting for my motherboard, what RAM should I be getting, and will that new RAM play nice with my old RAM? If I get new RAM at a different speed, would it be better / more beneficial performance-wise to omit the old RAM because of how the whole DUAL channel RAM thing works? I'm not too clued up on this area. Thanks chiefs.

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• ROracle support for TimesTen In-Memory Database

  - by Sherry LaMonica

  Today's guest post comes from Jason Feldhaus, a Consulting Member of Technical Staff in the TimesTen Database organization at Oracle.  He shares with us a sample session using ROracle with the TimesTen In-Memory database.  Beginning in version 1.1-4, ROracle includes support for the Oracle Times Ten In-Memory Database, version 11.2.2. TimesTen is a relational database providing very fast and high throughput through its memory-centric architecture.  TimesTen is designed for low latency, high-volume data, and event and transaction management. A TimesTen database resides entirely in memory, so no disk I/O is required for transactions and query operations. TimesTen is used in applications requiring very fast and predictable response time, such as real-time financial services trading applications and large web applications. TimesTen can be used as the database of record or as a relational cache database to Oracle Database. ROracle provides an interface between R and the database, providing the rich functionality of the R statistical programming environment using the SQL query language. ROracle uses the OCI libraries to handle database connections, providing much better performance than standard ODBC.The latest ROracle enhancements include: Support for Oracle TimesTen In-Memory Database Support for Date-Time using R's POSIXct/POSIXlt data types RAW, BLOB and BFILE data type support Option to specify number of rows per fetch operation Option to prefetch LOB data Break support using Ctrl-C Statement caching support Times Ten 11.2.2 contains enhanced support for analytics workloads and complex queries: Analytic functions: AVG, SUM, COUNT, MAX, MIN, DENSE_RANK, RANK, ROW_NUMBER, FIRST_VALUE and LAST_VALUE Analytic clauses: OVER PARTITION BY and OVER ORDER BY Multidimensional grouping operators: Grouping clauses: GROUP BY CUBE, GROUP BY ROLLUP, GROUP BY GROUPING SETS Grouping functions: GROUP, GROUPING_ID, GROUP_ID WITH clause, which allows repeated references to a named subquery block Aggregate expressions over DISTINCT expressions General expressions that return a character string in the source or a pattern within the LIKE predicate Ability to order nulls first or last in a sort result (NULLS FIRST or NULLS LAST in the ORDER BY clause) Note: Some functionality is only available with Oracle Exalytics, refer to the TimesTen product licensing document for details. Connecting to TimesTen is easy with ROracle. Simply install and load the ROracle package and load the driver. > install.packages("ROracle") > library(ROracle) Loading required package: DBI > drv <- dbDriver("Oracle") Once the ROracle package is installed, create a database connection object and connect to a TimesTen direct driver DSN as the OS user. > conn <- dbConnect(drv, username ="", password="", dbname = "localhost/SampleDb_1122:timesten_direct") You have the option to report the server type - Oracle or TimesTen? > print (paste ("Server type =", dbGetInfo (conn)$serverType)) [1] "Server type = TimesTen IMDB" To create tables in the database using R data frame objects, use the function dbWriteTable. In the following example we write the built-in iris data frame to TimesTen. The iris data set is a small example data set containing 150 rows and 5 columns. We include it here not to highlight performance, but so users can easily run this example in their R session. > dbWriteTable (conn, "IRIS", iris, overwrite=TRUE, ora.number=FALSE) [1] TRUE Verify that the newly created IRIS table is available in the database. To list the available tables and table columns in the database, use dbListTables and dbListFields, respectively. > dbListTables (conn) [1] "IRIS" > dbListFields (conn, "IRIS") [1] "SEPAL.LENGTH" "SEPAL.WIDTH" "PETAL.LENGTH" "PETAL.WIDTH" "SPECIES" To retrieve a summary of the data from the database we need to save the results to a local object. The following call saves the results of the query as a local R object, iris.summary. The ROracle function dbGetQuery is used to execute an arbitrary SQL statement against the database. When connected to TimesTen, the SQL statement is processed completely within main memory for the fastest response time. > iris.summary <- dbGetQuery(conn, 'SELECT SPECIES, AVG ("SEPAL.LENGTH") AS AVG_SLENGTH, AVG ("SEPAL.WIDTH") AS AVG_SWIDTH, AVG ("PETAL.LENGTH") AS AVG_PLENGTH, AVG ("PETAL.WIDTH") AS AVG_PWIDTH FROM IRIS GROUP BY ROLLUP (SPECIES)') > iris.summary SPECIES AVG_SLENGTH AVG_SWIDTH AVG_PLENGTH AVG_PWIDTH 1 setosa 5.006000 3.428000 1.462 0.246000 2 versicolor 5.936000 2.770000 4.260 1.326000 3 virginica 6.588000 2.974000 5.552 2.026000 4 <NA> 5.843333 3.057333 3.758 1.199333 Finally, disconnect from the TimesTen Database. > dbCommit (conn) [1] TRUE > dbDisconnect (conn) [1] TRUE We encourage you download Oracle software for evaluation from the Oracle Technology Network. See these links for our software: Times Ten In-Memory Database,  ROracle.  As always, we welcome comments and questions on the TimesTen and  Oracle R technical forums.

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• Oracle TimesTen In-Memory Database Performance on SPARC T4-2

  - by Brian

  The Oracle TimesTen In-Memory Database is optimized to run on Oracle's SPARC T4 processor platforms running Oracle Solaris 11 providing unsurpassed scalability, performance, upgradability, protection of investment and return on investment. The following demonstrate the value of combining Oracle TimesTen In-Memory Database with SPARC T4 servers and Oracle Solaris 11: On a Mobile Call Processing test, the 2-socket SPARC T4-2 server outperforms: Oracle's SPARC Enterprise M4000 server (4 x 2.66 GHz SPARC64 VII+) by 34%. Oracle's SPARC T3-4 (4 x 1.65 GHz SPARC T3) by 2.7x, or 5.4x per processor. Utilizing the TimesTen Performance Throughput Benchmark (TPTBM), the SPARC T4-2 server protects investments with: 2.1x the overall performance of a 4-socket SPARC Enterprise M4000 server in read-only mode and 1.5x the performance in update-only testing. This is 4.2x more performance per processor than the SPARC64 VII+ 2.66 GHz based system. 10x more performance per processor than the SPARC T2+ 1.4 GHz server. 1.6x better performance per processor than the SPARC T3 1.65 GHz based server. In replication testing, the two socket SPARC T4-2 server is over 3x faster than the performance of a four socket SPARC Enterprise T5440 server in both asynchronous replication environment and the highly available 2-Safe replication. This testing emphasizes parallel replication between systems. Performance Landscape Mobile Call Processing Test Performance System Processor Sockets/Cores/Threads Tps SPARC T4-2 SPARC T4, 2.85 GHz 2 16 128 218,400 M4000 SPARC64 VII+, 2.66 GHz 4 16 32 162,900 SPARC T3-4 SPARC T3, 1.65 GHz 4 64 512 80,400 TimesTen Performance Throughput Benchmark (TPTBM) Read-Only System Processor Sockets/Cores/Threads Tps SPARC T3-4 SPARC T3, 1.65 GHz 4 64 512 7.9M SPARC T4-2 SPARC T4, 2.85 GHz 2 16 128 6.5M M4000 SPARC64 VII+, 2.66 GHz 4 16 32 3.1M T5440 SPARC T2+, 1.4 GHz 4 32 256 3.1M TimesTen Performance Throughput Benchmark (TPTBM) Update-Only System Processor Sockets/Cores/Threads Tps SPARC T4-2 SPARC T4, 2.85 GHz 2 16 128 547,800 M4000 SPARC64 VII+, 2.66 GHz 4 16 32 363,800 SPARC T3-4 SPARC T3, 1.65 GHz 4 64 512 240,500 TimesTen Replication Tests System Processor Sockets/Cores/Threads Asynchronous 2-Safe SPARC T4-2 SPARC T4, 2.85 GHz 2 16 128 38,024 13,701 SPARC T5440 SPARC T2+, 1.4 GHz 4 32 256 11,621 4,615 Configuration Summary Hardware Configurations: SPARC T4-2 server 2 x SPARC T4 processors, 2.85 GHz 256 GB memory 1 x 8 Gbs FC Qlogic HBA 1 x 6 Gbs SAS HBA 4 x 300 GB internal disks Sun Storage F5100 Flash Array (40 x 24 GB flash modules) 1 x Sun Fire X4275 server configured as COMSTAR head SPARC T3-4 server 4 x SPARC T3 processors, 1.6 GHz 512 GB memory 1 x 8 Gbs FC Qlogic HBA 8 x 146 GB internal disks 1 x Sun Fire X4275 server configured as COMSTAR head SPARC Enterprise M4000 server 4 x SPARC64 VII+ processors, 2.66 GHz 128 GB memory 1 x 8 Gbs FC Qlogic HBA 1 x 6 Gbs SAS HBA 2 x 146 GB internal disks Sun Storage F5100 Flash Array (40 x 24 GB flash modules) 1 x Sun Fire X4275 server configured as COMSTAR head Software Configuration: Oracle Solaris 11 11/11 Oracle TimesTen 11.2.2.4 Benchmark Descriptions TimesTen Performance Throughput BenchMark (TPTBM) is shipped with TimesTen and measures the total throughput of the system. The workload can test read-only, update-only, delete and insert operations as required. Mobile Call Processing is a customer-based workload for processing calls made by mobile phone subscribers. The workload has a mixture of read-only, update, and insert-only transactions. The peak throughput performance is measured from multiple concurrent processes executing the transactions until a peak performance is reached via saturation of the available resources. Parallel Replication tests using both asynchronous and 2-Safe replication methods. For asynchronous replication, transactions are processed in batches to maximize the throughput capabilities of the replication server and network. In 2-Safe replication, also known as no data-loss or high availability, transactions are replicated between servers immediately emphasizing low latency. For both environments, performance is measured in the number of parallel replication servers and the maximum transactions-per-second for all concurrent processes. See Also SPARC T4-2 Server oracle.com OTN Oracle TimesTen In-Memory Database oracle.com OTN Oracle Solaris oracle.com OTN Oracle Database 11g Release 2 Enterprise Edition oracle.com OTN Disclosure Statement Copyright 2012, Oracle and/or its affiliates. All rights reserved. Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners. Results as of 1 October 2012.

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• High Sqlservr.exe Memory Usage

  - by user18576

  I have a problem with sqlservr.exe (version 2008). It use a more memory. I checked on windows taskbar manager, sqlservr.exe usage ( Mem usage - 8GB Ram). I dont know how can I fix it.Got the following metrics of the server using Perfmon: SQLServer:Buffer Manager Buffer cache hit ratio 13 SQLServer:Buffer Manager Page lookups/sec 46026128096 SQLServer:Buffer Manager Free pages 129295 SQLServer:Buffer Manager Total pages 997309 SQLServer:Buffer Manager Target pages 1053560 SQLServer:Buffer Manager Database pages 484117 SQLServer:Buffer Manager Reserved pages 0 SQLServer:Buffer Manager Stolen pages 383897 SQLServer:Buffer Manager Lazy writes/sec 384369 SQLServer:Buffer Manager Readahead pages/sec 69315446 SQLServer:Buffer Manager Page reads/sec 71280353 SQLServer:Buffer Manager Page writes/sec 12408371 SQLServer:Buffer Manager Checkpoint pages/sec 7053801 SQLServer:Buffer Manager Page life expectancy 735262 SQLServer:General Statistics Active Temp Tables 161 SQLServer:General Statistics Temp Tables Creation Rate 3131845 SQLServer:General Statistics Logins/sec 2336011 SQLServer:General Statistics Logouts/sec 2335984 SQLServer:General Statistics User Connections 27 SQLServer:General Statistics Transactions 0 SQLServer:Access Methods Full Scans/sec 34422821 SQLServer:Access Methods Range Scans/sec 2027247756 SQLServer:Access Methods Workfiles Created/sec 49771600 SQLServer:Access Methods Worktables Created/sec 28205828 SQLServer:Access Methods Index Searches/sec 4890715219 SQLServer:Access Methods FreeSpace Scans/sec 21178928 SQLServer:Access Methods FreeSpace Page Fetches/sec 21226653 SQLServer:Access Methods Pages Allocated/sec 41483279 SQLServer:Access Methods Extents Allocated/sec 4743504 SQLServer:Access Methods Extent Deallocations/sec 4806606 SQLServer:Access Methods Page Deallocations/sec 41419137 SQLServer:Access Methods Page Splits/sec 23834799 SQLServer:Memory Manager SQL Cache Memory (KB) 29160 SQLServer:Memory Manager Target Server Memory (KB) 8428480 SQLServer:Memory Manager Total Server Memory (KB) 7978472 Some body could help me please.And I really want to know the cause for the above.

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• Help with malloc and free: Glibc detected: free(): invalid pointer

  - by nunos

  I need help with debugging this piece of code. I know the problem is in malloc and free but can't find exactly where, why and how to fix it. Please don't answer: "Use gdb" and that's it. I would use gdb to debug it, but I still don't know much about it and am still learning it, and would like to have, in the meanwhile, another solution. Thanks. #include <stdio.h> #include <stdlib.h> #include <ctype.h> #include <unistd.h> #include <string.h> #include <sys/wait.h> #include <sys/types.h> #define MAX_COMMAND_LENGTH 256 #define MAX_ARGS_NUMBER 128 #define MAX_HISTORY_NUMBER 100 #define PROMPT ">>> " int num_elems; typedef enum {false, true} bool; typedef struct { char **arg; char *infile; char *outfile; int background; } Command_Info; int parse_cmd(char *cmd_line, Command_Info *cmd_info) { char *arg; char *args[MAX_ARGS_NUMBER]; int i = 0; arg = strtok(cmd_line, " "); while (arg != NULL) { args[i] = arg; arg = strtok(NULL, " "); i++; } num_elems = i;precisa em free_mem if (num_elems == 0) return 0; cmd_info->arg = (char **) ( malloc(num_elems * sizeof(char *)) ); cmd_info->infile = NULL; cmd_info->outfile = NULL; cmd_info->background = 0; bool b_infile = false; bool b_outfile = false; int iarg = 0; for (i = 0; i < num_elems; i++) { if ( !strcmp(args[i], "<") ) { if ( b_infile || i == num_elems-1 || !strcmp(args[i+1], "<") || !strcmp(args[i+1], ">") || !strcmp(args[i+1], "&") ) return -1; i++; cmd_info->infile = malloc(strlen(args[i]) * sizeof(char)); strcpy(cmd_info->infile, args[i]); b_infile = true; } else if (!strcmp(args[i], ">")) { if ( b_outfile || i == num_elems-1 || !strcmp(args[i+1], ">") || !strcmp(args[i+1], "<") || !strcmp(args[i+1], "&") ) return -1; i++; cmd_info->outfile = malloc(strlen(args[i]) * sizeof(char)); strcpy(cmd_info->outfile, args[i]); b_outfile = true; } else if (!strcmp(args[i], "&")) { if ( i == 0 || i != num_elems-1 || cmd_info->background ) return -1; cmd_info->background = true; } else { cmd_info->arg[iarg] = malloc(strlen(args[i]) * sizeof(char)); strcpy(cmd_info->arg[iarg], args[i]); iarg++; } } cmd_info->arg[iarg] = NULL; return 0; } void print_cmd(Command_Info *cmd_info) { int i; for (i = 0; cmd_info->arg[i] != NULL; i++) printf("arg[%d]=\"%s\"\n", i, cmd_info->arg[i]); printf("arg[%d]=\"%s\"\n", i, cmd_info->arg[i]); printf("infile=\"%s\"\n", cmd_info->infile); printf("outfile=\"%s\"\n", cmd_info->outfile); printf("background=\"%d\"\n", cmd_info->background); } void get_cmd(char* str) { fgets(str, MAX_COMMAND_LENGTH, stdin); str[strlen(str)-1] = '\0'; } pid_t exec_simple(Command_Info *cmd_info) { pid_t pid = fork(); if (pid < 0) { perror("Fork Error"); return -1; } if (pid == 0) { if ( (execvp(cmd_info->arg[0], cmd_info->arg)) == -1) { perror(cmd_info->arg[0]); exit(1); } } return pid; } void type_prompt(void) { printf("%s", PROMPT); } void syntax_error(void) { printf("msh syntax error\n"); } void free_mem(Command_Info *cmd_info) { int i; for (i = 0; cmd_info->arg[i] != NULL; i++) free(cmd_info->arg[i]); free(cmd_info->arg); free(cmd_info->infile); free(cmd_info->outfile); } int main(int argc, char* argv[]) { char cmd_line[MAX_COMMAND_LENGTH]; Command_Info cmd_info; //char* history[MAX_HISTORY_NUMBER]; while (true) { type_prompt(); get_cmd(cmd_line); if ( parse_cmd(cmd_line, &cmd_info) == -1) { syntax_error(); continue; } if (!strcmp(cmd_line, "")) continue; if (!strcmp(cmd_info.arg[0], "exit")) exit(0); pid_t pid = exec_simple(&cmd_info); waitpid(pid, NULL, 0); free_mem(&cmd_info); } return 0; }

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