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• wireless internet in linux is very very slow... but in windows.... everythnings fine

  - by Cody Acer

  yesterday when i was connecting to our neighbors wifi connection which is the signal strength is below 50%, i cant browse anything... even ping to gateway. 100% packet loss, and sometimes.. i can connect awesomely i can open my facebook account for 15 minutes but after 15min.. connection is extremely slow. but not windows i can surf even the signal str is very poor weird ey??.. root@Emely:~# lspci -knn 00:00.0 Host bridge [0600]: Intel Corporation Atom Processor D4xx/D5xx/N4xx/N5xx DMI Bridge [8086:a010] Subsystem: Samsung Electronics Co Ltd Notebook N150P [144d:c072] Kernel driver in use: agpgart-intel 00:02.0 VGA compatible controller [0300]: Intel Corporation Atom Processor D4xx/D5xx/N4xx/N5xx Integrated Graphics Controller [8086:a011] Subsystem: Samsung Electronics Co Ltd Notebook N150P [144d:c072] Kernel driver in use: i915 Kernel modules: i915 00:02.1 Display controller [0380]: Intel Corporation Atom Processor D4xx/D5xx/N4xx/N5xx Integrated Graphics Controller [8086:a012] Subsystem: Samsung Electronics Co Ltd Notebook N150P [144d:c072] 00:1b.0 Audio device [0403]: Intel Corporation NM10/ICH7 Family High Definition Audio Controller [8086:27d8] (rev 02) Subsystem: Samsung Electronics Co Ltd Notebook N150P [144d:c072] Kernel driver in use: snd_hda_intel Kernel modules: snd-hda-intel 00:1c.0 PCI bridge [0604]: Intel Corporation NM10/ICH7 Family PCI Express Port 1 [8086:27d0] (rev 02) Kernel driver in use: pcieport Kernel modules: shpchp 00:1c.1 PCI bridge [0604]: Intel Corporation NM10/ICH7 Family PCI Express Port 2 [8086:27d2] (rev 02) Kernel driver in use: pcieport Kernel modules: shpchp 00:1c.2 PCI bridge [0604]: Intel Corporation NM10/ICH7 Family PCI Express Port 3 [8086:27d4] (rev 02) Kernel driver in use: pcieport Kernel modules: shpchp 00:1c.3 PCI bridge [0604]: Intel Corporation NM10/ICH7 Family PCI Express Port 4 [8086:27d6] (rev 02) Kernel driver in use: pcieport Kernel modules: shpchp 00:1d.0 USB controller [0c03]: Intel Corporation NM10/ICH7 Family USB UHCI Controller #1 [8086:27c8] (rev 02) Subsystem: Samsung Electronics Co Ltd Notebook N150P [144d:c072] Kernel driver in use: uhci_hcd 00:1d.1 USB controller [0c03]: Intel Corporation NM10/ICH7 Family USB UHCI Controller #2 [8086:27c9] (rev 02) Subsystem: Samsung Electronics Co Ltd Notebook N150P [144d:c072] Kernel driver in use: uhci_hcd 00:1d.2 USB controller [0c03]: Intel Corporation NM10/ICH7 Family USB UHCI Controller #3 [8086:27ca] (rev 02) Subsystem: Samsung Electronics Co Ltd Notebook N150P [144d:c072] Kernel driver in use: uhci_hcd 00:1d.3 USB controller [0c03]: Intel Corporation NM10/ICH7 Family USB UHCI Controller #4 [8086:27cb] (rev 02) Subsystem: Samsung Electronics Co Ltd Notebook N150P [144d:c072] Kernel driver in use: uhci_hcd 00:1d.7 USB controller [0c03]: Intel Corporation NM10/ICH7 Family USB2 EHCI Controller [8086:27cc] (rev 02) Subsystem: Samsung Electronics Co Ltd Notebook N150P [144d:c072] Kernel driver in use: ehci-pci 00:1e.0 PCI bridge [0604]: Intel Corporation 82801 Mobile PCI Bridge [8086:2448] (rev e2) 00:1f.0 ISA bridge [0601]: Intel Corporation NM10 Family LPC Controller [8086:27bc] (rev 02) Subsystem: Samsung Electronics Co Ltd Notebook N150P [144d:c072] Kernel driver in use: lpc_ich Kernel modules: lpc_ich 00:1f.2 SATA controller [0106]: Intel Corporation NM10/ICH7 Family SATA Controller [AHCI mode] [8086:27c1] (rev 02) Subsystem: Samsung Electronics Co Ltd Notebook N150P [144d:c072] Kernel driver in use: ahci Kernel modules: ahci 00:1f.3 SMBus [0c05]: Intel Corporation NM10/ICH7 Family SMBus Controller [8086:27da] (rev 02) Subsystem: Samsung Electronics Co Ltd Notebook N150P [144d:c072] Kernel modules: i2c-i801 05:00.0 Network controller [0280]: Broadcom Corporation BCM4313 802.11bgn Wireless Network Adapter [14e4:4727] (rev 01) Subsystem: Wistron NeWeb Corp. Device [185f:051a] Kernel driver in use: bcma-pci-bridge Kernel modules: bcma 09:00.0 Ethernet controller [0200]: Marvell Technology Group Ltd. 88E8040 PCI-E Fast Ethernet Controller [11ab:4354] Subsystem: Samsung Electronics Co Ltd Notebook N150P [144d:c072] Kernel driver in use: sky2 Kernel modules: sky2 root@Emely:~# ip addr show 1: lo: mtu 65536 qdisc noqueue state UNKNOWN link/loopback 00:00:00:00:00:00 brd 00:00:00:00:00:00 inet 127.0.0.1/8 scope host lo inet6 ::1/128 scope host valid_lft forever preferred_lft forever 2: eth0: mtu 1500 qdisc pfifo_fast state DOWN qlen 1000 link/ether e8:11:32:2e:a6:fd brd ff:ff:ff:ff:ff:ff 3: wlan0: mtu 1500 qdisc mq state UP qlen 1000 link/ether 00:1b:b1:a9:ac:e0 brd ff:ff:ff:ff:ff:ff inet 192.168.1.108/24 brd 192.168.1.255 scope global wlan0 inet6 fe80::21b:b1ff:fea9:ace0/64 scope link valid_lft forever preferred_lft forever root@Emely:~# ip link show 1: lo: mtu 65536 qdisc noqueue state UNKNOWN link/loopback 00:00:00:00:00:00 brd 00:00:00:00:00:00 2: eth0: mtu 1500 qdisc pfifo_fast state DOWN qlen 1000 link/ether e8:11:32:2e:a6:fd brd ff:ff:ff:ff:ff:ff 3: wlan0: mtu 1500 qdisc mq state UP qlen 1000 link/ether 00:1b:b1:a9:ac:e0 brd ff:ff:ff:ff:ff:ff root@Emely:~# rfkill list all 0: samsung-wlan: Wireless LAN Soft blocked: no Hard blocked: no 1: samsung-bluetooth: Bluetooth Soft blocked: no Hard blocked: no 2: hci0: Bluetooth Soft blocked: no Hard blocked: no 3: phy0: Wireless LAN Soft blocked: no Hard blocked: no is this a wireless driver issue?

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• BSOD & System Failure after trying to install a new RAM

  - by Praveen Kumar

  I have updated the question with sections, so that people won't find it difficult to read. Basic System Information Let me give a basic introduction on my system. I have a system of following configuration: Processor: Intel(R) Core(TM) i7-2600 CPU @ 3.40GHz 3.40GHz RAM: Corsair Vengeance - 4GB Single Module DDR3 Memory Kit (CMZ4GX3M1A1600C9) x 2 OS: Windows 7 Ultimate, SP1 Build 7601 HDD: 1 TB Seagate 7200 RPM The Problem It was working fine for about an year. Yesterday I planned to increase my RAM to 16 GB by putting another set of two Corsair Vengeance - 4GB Single Module DDR3 Memory Kit (CMZ4GX3M1A1600C9). I got it from an authorized reseller and also, the RAM was fitted by a service engineer only. After the RAM was fit (all the four), the system failed to start, with an error code of 0x000000f4. The complete information of it is: Problem signature: Problem Event Name: BlueScreen OS Version: 6.1.7601.2.1.0.256.1 Locale ID: 16393 Additional information about the problem: BCCode: f4 BCP1: 0000000000000003 BCP2: FFFFFA8008A39060 BCP3: FFFFFA8008A39340 BCP4: FFFFF800037C8510 OS Version: 6_1_7601 Service Pack: 1_0 Product: 256_1 Files that help describe the problem: C:\Windows\Minidump\093012-13041-01.dmp C:\Users\Praveen Kumar\AppData\Local\Temp\WER-30716-0.sysdata.xml Read our privacy statement online: http://go.microsoft.com/fwlink/?linkid=104288&clcid=0x0409 If the online privacy statement is not available, please read our privacy statement offline: C:\Windows\system32\en-US\erofflps.txt Another Problem We first thought that it was the RAM, which caused the issue. So I returned the RAMs and now my computer configuration is exactly how it was the previous day. But, following the removal of the RAM, I also had several crashes after that. One suspicious thing was with an error code c0000134: STOP: c0000135 The program can’t start because %hs is missing from your computer . Try resintalling the program to fix this problem. After reading contents from this, this and this, which were never my case, they didn't help me. But I didn't receive any more STOP c0000134 messages. But this 0x000000f4 keeps on coming. I am writing from the same system and it allows me to work for say, half an hour max. Then I hear a device disconnect sound, the one you hear in Windows 7, when a USB Mass Storage Device is plugged out. Immediately following that, my screen goes blank and I get 0x000000f4 blue screen. Okay, now I am really concerned about my Hard Disk data, but I have no clue if there is a problem with the HDD. My Question What all files do I need to submit for your reference? Can this issue be fixed? I am getting more time if I remove my RAM, clean it and then put it back. Weird! Hope I have given the necessary information to help you guys. Thanks in advance. Minidumps I have uploaded all the Minidump DMP files from C:\Windows\Minidump folder here: http://www.praveen-kumar.com/Minidumps.zip Let me know if you face any issues in accessing it. Will be able to share elsewhere. Updates 30-Sep-2012 10:15 AM IST: When I keep the system cover opened, pressed the HDD Cable well, it is allowing me to be on for about half an hour, I guess? Also, I feel that the CPU fan speed is kind of slow. It rotates at around 900 RPM, but the CPU Temperature is not more than 70° C. 30-Sep-2012 10:30 AM IST: My Modem (Beetel 220BX ADSL2+ Router) failed. I have no idea how it is related to this issue, but I thought that I need to document this too. I really have a bad day here. 30-Sep-2012 11:00 AM IST: System still running fine, with the cabinet cover open, now for about an hour. 30-Sep-2012 12:00 PM IST: I shut down the system and closed the cabinet. Started the system, and it hung after giving the password. After a few minutes, got the same 0x000000f4 error. So, while it is in the upright position, fixed the Hard Disk cable and now it is booting fine. Waiting for more observations and answers.

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• CentOS 6.2 Bridge Setup for KVM

  - by Gaia

  I'm trying to set up bridged networking with KVM on CentOS 6.2 to no avail. There are plenty of docs and tutorials about it, but they all seem to conflict or don't provide info specific enough to my situation. I just don't get it. I access the host via public IP "xxx.xxx.128.58". All other available IPs (/29) should be bridged and made available to the only KVM guest (running a public facing LAMP stack) that will be setup on this machine. The amazingly unhelpful NOC people assigned the extra IPs to eth1. Is this correct? Should br0 bridge to eth0 or eth1? How do I set this up? Here is the relevant info: eth0 Link encap:Ethernet HWaddr 00:25:90:68:FE:BC inet6 addr: fe80::225:90ff:fe68:febc/64 Scope:Link UP BROADCAST RUNNING MULTICAST MTU:1500 Metric:1 RX packets:763 errors:0 dropped:0 overruns:0 frame:0 TX packets:8 errors:0 dropped:0 overruns:0 carrier:0 collisions:0 txqueuelen:1000 RX bytes:550811 (537.9 KiB) TX bytes:648 (648.0 b) Memory:fb980000-fba00000 eth1 Link encap:Ethernet HWaddr 00:25:90:68:FE:BD inet addr:xxx.xxx.128.58 Bcast:xxx.xxx.128.63 Mask:255.255.255.248 inet6 addr: fe80::225:90ff:fe68:febd/64 Scope:Link UP BROADCAST RUNNING MULTICAST MTU:1500 Metric:1 RX packets:1806 errors:0 dropped:0 overruns:0 frame:0 TX packets:1505 errors:0 dropped:0 overruns:0 carrier:0 collisions:0 txqueuelen:1000 RX bytes:133166 (130.0 KiB) TX bytes:106070 (103.5 KiB) Memory:fb900000-fb980000 eth1:0 Link encap:Ethernet HWaddr 00:25:90:68:FE:BD inet addr:xxx.xxx.128.59 Bcast:xxx.xxx.128.63 Mask:255.255.255.248 UP BROADCAST RUNNING MULTICAST MTU:1500 Metric:1 Memory:fb900000-fb980000 eth1:1 Link encap:Ethernet HWaddr 00:25:90:68:FE:BD inet addr:xxx.xxx.128.60 Bcast:xxx.xxx.128.63 Mask:255.255.255.248 UP BROADCAST RUNNING MULTICAST MTU:1500 Metric:1 Memory:fb900000-fb980000 eth1:2 Link encap:Ethernet HWaddr 00:25:90:68:FE:BD inet addr:xxx.xxx.128.61 Bcast:xxx.xxx.128.63 Mask:255.255.255.248 UP BROADCAST RUNNING MULTICAST MTU:1500 Metric:1 Memory:fb900000-fb980000 eth1:3 Link encap:Ethernet HWaddr 00:25:90:68:FE:BD inet addr:xxx.xxx.128.62 Bcast:xxx.xxx.128.63 Mask:255.255.255.248 UP BROADCAST RUNNING MULTICAST MTU:1500 Metric:1 Memory:fb900000-fb980000 lo Link encap:Local Loopback inet addr:127.0.0.1 Mask:255.0.0.0 inet6 addr: ::1/128 Scope:Host UP LOOPBACK RUNNING MTU:16436 Metric:1 RX packets:0 errors:0 dropped:0 overruns:0 frame:0 TX packets:0 errors:0 dropped:0 overruns:0 carrier:0 collisions:0 txqueuelen:0 RX bytes:0 (0.0 b) TX bytes:0 (0.0 b) virbr0 Link encap:Ethernet HWaddr 52:54:00:62:55:68 inet addr:192.168.122.1 Bcast:192.168.122.255 Mask:255.255.255.0 UP BROADCAST RUNNING MULTICAST MTU:1500 Metric:1 RX packets:0 errors:0 dropped:0 overruns:0 frame:0 TX packets:0 errors:0 dropped:0 overruns:0 carrier:0 collisions:0 txqueuelen:0 RX bytes:0 (0.0 b) TX bytes:0 (0.0 b) > cat /etc/sysconfig/network NETWORKING=yes HOSTNAME=XXXX.domain.com > brctl show bridge name bridge id STP enabled interfaces br0 8000.00259068febc no eth0 virbr0 8000.525400625568 yes virbr0-nic > ls -fl | grep ifcfg -rw-r--r-- 1 root root 198 Jun 7 10:58 ifcfg-eth0 -rw-r--r--. 1 root root 254 Oct 7 2011 ifcfg-lo -rw-r--r-- 1 root root 77 Jun 6 18:51 ifcfg-eth1-range0 -rw-r--r-- 1 root root 168 Jun 6 18:50 ifcfg-eth1 > cat ifcfg-eth0 DEVICE="eth0" BOOTPROTO="static" BRIDGE="br0" HWADDR="00:25:90:68:FE:BC" IPV6INIT="yes" MTU="1500" NM_CONTROLLED="yes" ONBOOT="yes" TYPE="Ethernet" IPADDR="yyy.yyy.216.131" NETMASK="255.255.255.128" > cat ifcfg-eth1 DEVICE="eth1" HWADDR="00:25:90:68:FE:BD" NM_CONTROLLED="yes" ONBOOT="yes" BOOTPROTO="static" IPADDR="xxx.xxx.128.58" NETMASK="255.255.255.248" GATEWAY="xxx.xxx.128.57" > cat ifcfg-eth1-range0 IPADDR_START="xxx.xxx.128.59" IPADDR_END="xxx.xxx.128.62" CLONENUM_START="0" Kernel IP routing table Destination Gateway Genmask Flags Metric Ref Use Iface xxx.xxx.128.56 * 255.255.255.248 U 0 0 0 eth1 192.168.122.0 * 255.255.255.0 U 0 0 0 virbr0 link-local * 255.255.0.0 U 1003 0 0 eth1 default xxx.xxx.128.57 0.0.0.0 UG 0 0 0 eth1

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• Linux bcm43224 wifi adapter slows down a couple minutes after boot

  - by Blubber

  I just installed Ubuntu on my mid 2012 MacBook Air. Everything worked out of the box, but the wifi is showing some weird behavior. When I first login it's really fast, loading google.com is near instant, and browsing in general feels at least as smooth as it did on Mac OS. However, after a couple minutes the connection slows down dramatically, sometimes it takes over 5s to load google.com, a simple reboot fixes the problem for another couple minutes. Specs: Wifi: 02:00.0 Network controller: Broadcom Corporation BCM43224 802.11a/b/g/n (rev 01) Driver: open-source brcmsmac driver Kernel: Linux wega 3.8.0-21-generic #32-Ubuntu SMP Tue May 14 22:16:46 UTC 2013 x86_64 x86_64 x86_64 GNU/Linux Distro: Ubuntu 13.04 (uptodate) I tried a number of things, none of which actually helped Use proprietary sta driver from broadcom Installed firmware into /lib/firmware/brcms (which, as far as I can tell from logs, does not get loaded at all) Switch router to only use 2.4 OR 5 GHz Set router to only use a OR g OR n Set router to use AES encryption only Turned off power management on the adapter Set regulatory region to the correct value (NL) on both router and laptop Disable ipv6 Nothing seems to help, the slowdown always occurs. I did notice that the latency (ping google.com) stays roughly the same (around 9ms). Below is some more information that might be of use. $ lspci -nnk | grep -iA2 net 02:00.0 Network controller [0280]: Broadcom Corporation BCM43224 802.11a/b/g/n [14e4:4353] (rev 01) Subsystem: Apple Inc. Device [106b:00e9] Kernel driver in use: bcma-pci-bridge $ rfkill list 0: hci0: Bluetooth Soft blocked: no Hard blocked: no 1: phy0: Wireless LAN Soft blocked: no Hard blocked: no $ lsmod Module Size Used by dm_crypt 22820 1 arc4 12615 2 brcmsmac 550698 0 coretemp 13355 0 kvm_intel 132891 0 parport_pc 28152 0 kvm 443165 1 kvm_intel ppdev 17073 0 cordic 12574 1 brcmsmac brcmutil 14755 1 brcmsmac mac80211 606457 1 brcmsmac cfg80211 510937 2 brcmsmac,mac80211 bnep 18036 2 rfcomm 42641 12 joydev 17377 0 applesmc 19353 0 input_polldev 13896 1 applesmc snd_hda_codec_hdmi 36913 1 microcode 22881 0 snd_hda_codec_cirrus 23829 1 nls_iso8859_1 12713 1 uvcvideo 80847 0 btusb 22474 0 snd_hda_intel 39619 3 videobuf2_vmalloc 13056 1 uvcvideo snd_hda_codec 136453 3 snd_hda_codec_hdmi,snd_hda_intel,snd_hda_codec_cirrus bcm5974 17347 0 bluetooth 228619 22 bnep,btusb,rfcomm snd_hwdep 13602 1 snd_hda_codec lpc_ich 17061 0 videobuf2_memops 13202 1 videobuf2_vmalloc videobuf2_core 40513 1 uvcvideo videodev 129260 2 uvcvideo,videobuf2_core bcma 41051 1 brcmsmac snd_pcm 97451 3 snd_hda_codec_hdmi,snd_hda_codec,snd_hda_intel snd_page_alloc 18710 2 snd_pcm,snd_hda_intel snd_seq_midi 13324 0 snd_seq_midi_event 14899 1 snd_seq_midi snd_rawmidi 30180 1 snd_seq_midi snd_seq 61554 2 snd_seq_midi_event,snd_seq_midi snd_seq_device 14497 3 snd_seq,snd_rawmidi,snd_seq_midi snd_timer 29425 2 snd_pcm,snd_seq snd 68876 16 snd_hwdep,snd_timer,snd_hda_codec_hdmi,snd_pcm,snd_seq,snd_rawmidi,snd_hda_codec,snd_hda_intel,snd_seq_device,snd_hda_codec_cirrus mei 41158 0 soundcore 12680 1 snd apple_bl 13673 0 mac_hid 13205 0 lp 17759 0 parport 46345 3 lp,ppdev,parport_pc usb_storage 57204 0 hid_apple 13237 0 hid_generic 12540 0 ghash_clmulni_intel 13259 0 aesni_intel 55399 399 aes_x86_64 17255 1 aesni_intel xts 12885 1 aesni_intel lrw 13257 1 aesni_intel gf128mul 14951 2 lrw,xts ablk_helper 13597 1 aesni_intel cryptd 20373 4 ghash_clmulni_intel,aesni_intel,ablk_helper i915 600351 3 ahci 25731 3 libahci 31364 1 ahci video 19390 1 i915 i2c_algo_bit 13413 1 i915 drm_kms_helper 49394 1 i915 usbhid 47074 0 drm 286313 4 i915,drm_kms_helper hid 101002 3 hid_generic,usbhid,hid_apple $ dmesg | egrep 'b43|bcma|brcm|[F]irm' [ 0.055025] [Firmware Bug]: ioapic 2 has no mapping iommu, interrupt remapping will be disabled [ 0.152336] [Firmware Bug]: ACPI: BIOS _OSI(Linux) query ignored [ 2.187681] pci_root PNP0A08:00: [Firmware Info]: MMCONFIG for domain 0000 [bus 00-99] only partially covers this bridge [ 12.553600] bcma-pci-bridge 0000:02:00.0: enabling device (0000 -> 0002) [ 12.553657] bcma: bus0: Found chip with id 0xA8D8, rev 0x01 and package 0x08 [ 12.553688] bcma: bus0: Core 0 found: ChipCommon (manuf 0x4BF, id 0x800, rev 0x22, class 0x0) [ 12.553715] bcma: bus0: Core 1 found: IEEE 802.11 (manuf 0x4BF, id 0x812, rev 0x17, class 0x0) [ 12.553764] bcma: bus0: Core 2 found: PCIe (manuf 0x4BF, id 0x820, rev 0x0F, class 0x0) [ 12.605777] bcma: bus0: Bus registered [ 12.852925] brcmsmac bcma0:0: mfg 4bf core 812 rev 23 class 0 irq 17 [ 13.085176] brcmsmac bcma0:0: brcms_ops_bss_info_changed: qos enabled: false (implement) [ 13.085186] brcmsmac bcma0:0: brcms_ops_config: change power-save mode: false (implement) [ 20.862617] brcmsmac bcma0:0: brcmsmac: brcms_ops_bss_info_changed: associated [ 20.862622] brcmsmac bcma0:0: brcms_ops_bss_info_changed: arp filtering: enabled true, count 0 (implement) [ 20.862625] brcmsmac bcma0:0: brcms_ops_bss_info_changed: qos enabled: true (implement) [ 20.897957] brcmsmac bcma0:0: brcms_ops_bss_info_changed: arp filtering: enabled true, count 1 (implement) $ iwconfig lo no wireless extensions. wlan0 IEEE 802.11abgn ESSID:"wlan" Mode:Managed Frequency:5.22 GHz Access Point: E0:46:9A:4E:63:9A Bit Rate=65 Mb/s Tx-Power=17 dBm Retry long limit:7 RTS thr:off Fragment thr:off Power Management:off Link Quality=63/70 Signal level=-47 dBm Rx invalid nwid:0 Rx invalid crypt:0 Rx invalid frag:0 Tx excessive retries:13 Invalid misc:56 Missed beacon:0

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• Centos/OVH: public IP on KVM virtual machine

  - by Sébastien

  Since a few days, I'm trying to configure my KVM vm to have a public IP address, without any success. First, I'm on OVH, and you need to know they don't allow networking from different mac addresses. I have so registered a virtual mac address associated with my failover IP Here's my configuration: Guest wanted IP: 46.105.40.x Host IP: 176.31.240.x Host configuration dummy0 interface: ifcfg-dummy0 BOOTPROTO=static IPADDR=10.0.0.1 NETMASK=255.0.0.0 ONBOOT=yes NM_CONTROLLED=no ARP=yes BRIDGE=br0 br0 bridge: ifcfg-br0 DEVICE=br0 TYPE=Bridge DELAY=0 ONBOOT=yes BOOTPROTO=static IPADDR=192.168.1.1 NETMASK=255.255.255.0 PEERDNS=yes NM_CONTROLLED=no ARP=yes Failover ip is redirected to the br0 bridge with ip route add 46.105.40.xxx dev br0 > cat /proc/sys/net/ipv4/ip_forward 1 > cat /proc/sys/net/ipv4/conf/vnet0/proxy_arp 1 > route -n Destination Gateway Genmask Flags Metric Ref Use Iface 0.0.0.0 176.31.240.254 0.0.0.0 UG 0 0 0 eth0 46.105.40.x 0.0.0.0 255.255.255.255 UH 0 0 0 br0 176.31.240.0 0.0.0.0 255.255.255.0 U 0 0 0 eth0 192.168.1.0 0.0.0.0 255.255.255.0 U 0 0 0 br0 Guest configuration: KVM: <interface type='bridge'> <mac address='02:00:00:30:22:05'/> <source bridge='br0'/> <address type='pci' domain='0x0000' bus='0x00' slot='0x06' function='0x0'/> </interface> I've borrowed most of the OVH configuration here (in french, http://guides.ovh.com/BridgeClient) for the guest configuration eth0 interface: ifcfg-eth0 DEVICE="eth0" BOOTPROTO=none HWADDR="02:00:00:30:22:05" NM_CONTROLLED="yes" ONBOOT="yes" TYPE="Ethernet" UUID="e9138469-0d81-4ee6-b5ab-de0d7d17d1c8" USERCTL=no PEERDNS=yes IPADDR=46.105.40.xxx NETMASK=255.255.255.255 GATEWAY=176.31.240.254 ARP=yes For the routes, I have in route-eth0: 176.31.240.254 dev eth0 default via 176.31.240.254 dev eth0 With this configuration, I don't have any access to the internet. The only thing I can do is to ping the public ip of the host, nothing more. My final conclusion is that the route does not work, because, when, on the guest, I run ping 8.8.8.8, I have, on the host: > tcpdump -i vnet0 icmp tcpdump: verbose output suppressed, use -v or -vv for full protocol decode listening on br0, link-type EN10MB (Ethernet), capture size 65535 bytes 13:38:09.009324 IP 46-105-40-xxx.kimsufi.com > google-public-dns-a.google.com: ICMP echo request, id 50183, seq 1, length 64 13:38:09.815344 IP 46-105-40-xxx.kimsufi.com > google-public-dns-a.google.com: ICMP echo request, id 50183, seq 2, length 64 I never get the ping reply, only the request. It seems Guest - Host communication is fine. On eth0: > tcpdump -i eth0 icmp tcpdump: verbose output suppressed, use -v or -vv for full protocol decode listening on eth0, link-type EN10MB (Ethernet), capture size 65535 bytes 13:39:40.240561 IP 46-105-40-xxx.kimsufi.com > google-public-dns-a.google.com: ICMP echo request, id 50439, seq 1, length 64 13:39:40.250161 IP google-public-dns-a.google.com > 46-105-40-xxx.kimsufi.com: ICMP echo reply, id 50439, seq 1, length 64 I have the request and the reply on eth0, but reply is not forwarded to the bridge. I really don't understand why, I though it was the aim of the route to do that! IPtables is disabled on both host and guest. I really hope some of you will be able to help me! Many thanks in advance, Sébastien

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• Performance issues when using SSD for a developer notebook (WAMP/LAMP stack)?

  - by András Szepesházi

  I'm a web application developer using my notebook as a standalone development environment (WAMP stack). I just switched from a Core2-duo Vista 32 bit notebook with 2Gb RAM and SATA HDD, to an i5-2520M Win7 64 bit with 4Gb RAM and 128 GB SDD (Corsair P3 128). My initial experience was what I expected, fast boot, quick load of all the applications (Eclipse takes now 5 seconds as opposed to 30s on my old notebook), overall great experience. Then I started to build up my development stack, both as LAMP (using VirtualBox with a debian guest) and WAMP (windows native apache + mysql + php). I wanted to compare those two. This still all worked great out, then I started to pull in my projects to these stacks. And here came the nasty surprise, one of those projects produced a lot worse response times than on my old notebook (that was true for both the VirtualBox and WAMP stack). Apache, php and mysql configurations were practically identical in all environments. I started to do a lot of benchmarking and profiling, and here is what I've found: All general benchmarks (Performance Test 7.0, HDTune Pro, wPrime2 and some more) gave a big advantage to the new notebook. Nothing surprising here. Disc specific tests showed that read/write operations peaked around 380M/160M for the SSD, and all the different sized block operations also performed very well. Started apache performance benchmarking with Apache Benchmark for a small static html file (10 concurrent threads, 500 iterations). Old notebook: min 47ms, median 111ms, max 156ms New WAMP stack: min 71ms, median 135ms, max 296ms New LAMP stack (in VirtualBox): min 6ms, median 46ms, max 175ms Right here I don't get why the native WAMP stack performed so bad, but at least the LAMP environment brought the expected speed. Apache performance measurement for non-cached php content. The php runs a loop of 1000 and generates sha1(uniqid()) inisde. Again, 10 concurrent threads, 500 iterations were used for the benchmark. Old notebook: min 0ms, median 39ms, max 218ms New WAMP stack: min 20ms, median 61ms, max 186ms New LAMP stack (in VirtualBox): min 124ms, median 704ms, max 2463ms What the hell? The new LAMP performed miserably, and even the new native WAMP was outperformed by the old notebook. php + mysql test. The test consists of connecting to a database and reading a single record form a table using INNER JOIN on 3 more (indexed) tables, repeated 100 times within a loop. Databases were identical. 10 concurrent threads, 100 iterations were used for the benchmark. Old notebook: min 1201ms, median 1734ms, max 3728ms New WAMP stack: min 367ms, median 675ms, max 1893ms New LAMP stack (in VirtualBox): min 1410ms, median 3659ms, max 5045ms And the same test with concurrency set to 1 (instead of 10): Old notebook: min 1201ms, median 1261ms, max 1357ms New WAMP stack: min 399ms, median 483ms, max 539ms New LAMP stack (in VirtualBox): min 285ms, median 348ms, max 444ms Strictly for my purposes, as I'm using a self contained development environment (= low concurrency) I could be satisfied with the second test's result. Though I have no idea why the VirtualBox environment performed so bad with higher concurrency. Finally I performed a test of including many php files. The application that I mentioned at the beginning, the one that was performing so bad, has a heavy bootstrap, loads hundreds of small library and configuration files while initializing. So this test does nothing else just includes about 100 files. Concurrency set to 1, 100 iterations: Old notebook: min 140ms, median 168ms, max 406ms New WAMP stack: min 434ms, median 488ms, max 604ms New LAMP stack (in VirtualBox): min 413ms, median 1040ms, max 1921ms Even if I consider that VirtualBox reached those files via shared folders, and that slows things down a bit, I still don't see how could the old notebook outperform so heavily both new configurations. And I think this is the real root of the slow performance, as the application uses even more includes, and the whole bootstrap will occur several times within a page request (for each ajax call, for example). To sum it up, here I am with a brand new high-performance notebook that loads the same page in 20 seconds, that my old notebook can do in 5-7 seconds. Needless to say, I'm not a very happy person right now. Why do you think I experience these poor performance values? What are my options to remedy this situation?

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• Windows 7: How to place SuperFetch cache on an SSD?

  - by Ian Boyd

  I'm thinking of adding a solid state drive (SSD) to my existing Windows 7 installation. I know I can (and should) move my paging file to the SSD: Should the pagefile be placed on SSDs? Yes. Most pagefile operations are small random reads or larger sequential writes, both of which are types of operations that SSDs handle well. In looking at telemetry data from thousands of traces and focusing on pagefile reads and writes, we find that Pagefile.sys reads outnumber pagefile.sys writes by about 40 to 1, Pagefile.sys read sizes are typically quite small, with 67% less than or equal to 4 KB, and 88% less than 16 KB. Pagefile.sys writes are relatively large, with 62% greater than or equal to 128 KB and 45% being exactly 1 MB in size. In fact, given typical pagefile reference patterns and the favorable performance characteristics SSDs have on those patterns, there are few files better than the pagefile to place on an SSD. What I don't know is if I even can put a SuperFetch cache (i.e. ReadyBoost cache) on the solid state drive. I want to get the benefit of Windows being able to cache gigabytes of frequently accessed data on a relativly small (e.g. 30GB) solid state drive. This is exactly what SuperFetch+ReadyBoost (or SuperFetch+ReadyDrive) was designed for. Will Windows offer (or let) me place a ReadyBoost cache on a solid state flash drive connected via SATA? A problem with the ReadyBoost cache over the ReadyDrive cache is that the ReadyBoost cache does not survive between reboots. The cache is encrypted with a per-session key, making its existing contents unusable during boot and SuperFetch pre-fetching during login. Update One I know that Windows Vista limited you to only one ReadyBoost.sfcache file (I do not know if Windows 7 removed that limitation): Q: Can use use multiple devices for EMDs? A: Nope. We've limited Vista to one ReadyBoost per machine Q: Why just one device? A: Time and quality. Since this is the first revision of the feature, we decided to focus on making the single device exceptional, without the difficulties of managing multiple caches. We like the idea, though, and it's under consideration for future versions. I also know that the 4GB limit on the cache file was a limitation of the FAT filesystem used on most USB sticks - an SSD drive would be formatted with NTFS: Q: What's the largest amount of flash that I can use for ReadyBoost? A: You can use up to 4GB of flash for ReadyBoost (which turns out to be 8GB of cache w/ the compression) Q: Why can't I use more than 4GB of flash? A: The FAT32 filesystem limits our ReadyBoost.sfcache file to 4GB Can a ReadyBoost cache on an NTFS volume be larger than 4GB? Update Two The ReadyBoost cache is encrypted with a per-boot session key. This means that the cache has to be re-built after each boot, and cannot be used to help speed boot times, or latency from login to usable. Windows ReadyDrive technology takes advantage of non-volatile (NV) memory (i.e. flash) that is incorporated with some hybrid hard drives. This flash cache can be used to help Windows boot, or resume from hibernate faster. Will Windows 7 use an internal SSD drive as a ReadyBoost/*ReadyDrive*/SuperFetch cache? Is it possible to make Windows store a SuperFetch cache (i.e. ReadyBoost) on a non-removable SSD? Is it possible to not encrypt the ReadyBoost cache, and if so will Windows 7 use the cache at boot time? See also SuperUser.com: ReadyBoost + SSD = ? Windows 7 - ReadyBoost & SSD drives? Support and Q&A for Solid-State Drives Using SDD as a cache for HDD, is there a solution? Performance increase using SSD for paging/fetch/cache or ReadyBoost? (Win7) Windows 7 To Boost SSD Performance How to Disable Nonvolatile Caching

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• How to place SuperFetch cache on an SSD?

  - by Ian Boyd

  I'm thinking of adding a solid state drive (SSD) to my existing Windows 7 installation. I know I can (and should) move my paging file to the SSD: Should the pagefile be placed on SSDs? Yes. Most pagefile operations are small random reads or larger sequential writes, both of which are types of operations that SSDs handle well. In looking at telemetry data from thousands of traces and focusing on pagefile reads and writes, we find that Pagefile.sys reads outnumber pagefile.sys writes by about 40 to 1, Pagefile.sys read sizes are typically quite small, with 67% less than or equal to 4 KB, and 88% less than 16 KB. Pagefile.sys writes are relatively large, with 62% greater than or equal to 128 KB and 45% being exactly 1 MB in size. In fact, given typical pagefile reference patterns and the favorable performance characteristics SSDs have on those patterns, there are few files better than the pagefile to place on an SSD. What I don't know is if I even can put a SuperFetch cache (i.e. ReadyBoost cache) on the solid state drive. I want to get the benefit of Windows being able to cache gigabytes of frequently accessed data on a relativly small (e.g. 30GB) solid state drive. This is exactly what SuperFetch+ReadyBoost (or SuperFetch+ReadyDrive) was designed for. Will Windows offer (or let) me place a ReadyBoost cache on a solid state flash drive connected via SATA? A problem with the ReadyBoost cache over the ReadyDrive cache is that the ReadyBoost cache does not survive between reboots. The cache is encrypted with a per-session key, making its existing contents unusable during boot and SuperFetch pre-fetching during login. Update One I know that Windows Vista limited you to only one ReadyBoost.sfcache file (I do not know if Windows 7 removed that limitation): Q: Can use use multiple devices for EMDs? A: Nope. We've limited Vista to one ReadyBoost per machine Q: Why just one device? A: Time and quality. Since this is the first revision of the feature, we decided to focus on making the single device exceptional, without the difficulties of managing multiple caches. We like the idea, though, and it's under consideration for future versions. I also know that the 4GB limit on the cache file was a limitation of the FAT filesystem used on most USB sticks - an SSD drive would be formatted with NTFS: Q: What's the largest amount of flash that I can use for ReadyBoost? A: You can use up to 4GB of flash for ReadyBoost (which turns out to be 8GB of cache w/ the compression) Q: Why can't I use more than 4GB of flash? A: The FAT32 filesystem limits our ReadyBoost.sfcache file to 4GB Can a ReadyBoost cache on an NTFS volume be larger than 4GB? Update Two The ReadyBoost cache is encrypted with a per-boot session key. This means that the cache has to be re-built after each boot, and cannot be used to help speed boot times, or latency from login to usable. Windows ReadyDrive technology takes advantage of non-volatile (NV) memory (i.e. flash) that is incorporated with some hybrid hard drives. This flash cache can be used to help Windows boot, or resume from hibernate faster. Will Windows 7 use an internal SSD drive as a ReadyBoost/*ReadyDrive*/SuperFetch cache? Is it possible to make Windows store a SuperFetch cache (i.e. ReadyBoost) on a non-removable SSD? Is it possible to not encrypt the ReadyBoost cache, and if so will Windows 7 use the cache at boot time? See also SuperUser.com: ReadyBoost + SSD = ? Windows 7 - ReadyBoost & SSD drives? Support and Q&A for Solid-State Drives Using SDD as a cache for HDD, is there a solution? Performance increase using SSD for paging/fetch/cache or ReadyBoost? (Win7) Windows 7 To Boost SSD Performance How to Disable Nonvolatile Caching

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• php-fpm + persistent sockets = 502 bad gateway

  - by leeoniya

  Put on your reading glasses - this will be a long-ish one. First, what I'm doing. I'm building a web-app interface for some particularly slow tcp devices. Opening a socket to them takes 200ms and an fwrite/fread cycle takes another 300ms. To reduce the need for both of these actions on each request, I'm opening a persistent tcp socket which reduces the response time by the aforementioned 200ms. I was hoping PHP-FPM would share the persistent connections between requests from different clients (and indeed it does!), but there are some issues which I havent been able to resolve after 2 days of interneting, reading logs and modifying settings. I have somewhat narrowed it down though. Setup: Ubuntu 13.04 x64 Server (fully updated) on Linode PHP 5.5.0-6~raring+1 (fpm-fcgi) nginx/1.5.2 Relevent config: nginx worker_processes 4; php-fpm/pool.d pm = dynamic pm.max_children = 2 pm.start_servers = 2 pm.min_spare_servers = 2 Let's go from coarse to fine detail of what happens. After a fresh start I have 4x nginx processes and 2x php5-fpm processes waiting to handle requests. Then I send requests every couple seconds to the script. The first take a while to open the socket connection and returns with the data in about 500ms, the second returns data in 300ms (yay it's re-using the socket), the third also succeeds in about 300ms, the fourth request = 502 Bad Gateway, same with the 5th. Sixth request once again returns data, except now it took 500ms again. The process repeats for several cycles after which every 4 requests result in 2x 502 Bad Gateways and 2x 500ms Data responses. If I double all the fpm pool values and have 4x php-fpm processes running, the cycles settles in with 4x successful 500ms responses followed by 4x Bad Gateway errors. If I don't use persistent sockets, this issue goes away but then every request is 500ms. What I suspect is happening is the persistent socket keeps each php-fpm process from idling and ties it up, so the next one gets chosen until none are left and as they error out, maybe they are restarted and become available on the next round-robin loop ut the socket dies with the process. I haven't yet checked the 'slowlog', but the nginx error log shows lots of this: *188 recv() failed (104: Connection reset by peer) while reading response header from upstream, client:... All the suggestions on the internet regarding fixing nginx/php-fpm/502 bad gateway relate to high load or fcgi_pass misconfiguration. This is not the case here. Increasing buffers/sizes, changing timeouts, switching from unix socket to tcp socket for fcgi_pass, upping connection limits on the system....none of this stuff applies here. I've had some other success with setting pm = ondemand rather than dynamic, but as soon as the initial fpm-process gets killed off after idling, the persistent socket is gone for all subsequent php-fpm spawns. For the php script, I'm using stream_socket_client() with a STREAM_CLIENT_PERSISTENT flag. A while/stream_select() loop to detect socket data and fread($sock, 4096) to grab the data. I don't call fclose() obviously. If anyone has some additional questions or advice on how to get a persistent socket without tying up the php-fpm processes beyond the request completion, or maybe some other things to try, I'd appreciate it. some useful links: Nginx + php-fpm - recv() error Nginx + php-fpm "504 Gateway Time-out" error with almost zero load (on a test-server) Nginx + PHP-FPM "error 104 Connection reset by peer" causes occasional duplicate posts http://www.linuxquestions.org/questions/programming-9/php-pfsockopen-552084/ http://stackoverflow.com/questions/14268018/concurrent-use-of-a-persistent-php-socket http://devzone.zend.com/303/extension-writing-part-i-introduction-to-php-and-zend/#Heading3 http://stackoverflow.com/questions/242316/how-to-keep-a-php-stream-socket-alive http://php.net/manual/en/install.fpm.configuration.php https://www.google.com/search?q=recv%28%29+failed+%28104:+Connection+reset+by+peer%29+while+reading+response+header+from+upstream+%22502%22&ei=mC1XUrm7F4WQyAHbv4H4AQ&start=10&sa=N&biw=1920&bih=953&dpr=1

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• ubuntu 10.04; kvm bridged networking not working with public ip addresses

  - by senorsmile

  I have a dedicated hosted server box with ubuntu 10.04 64 bit installed. I would like to run kvm with ubuntu 8.04 installed for some php 5.2 compatible apps(they don't work right with php 5.3, the default in ubuntu 10.04). I installed KVM as instructed at https://help.ubuntu.com/community/KVM/Installation . I installed the vm using virt-manager. I never could figure out how use virt-install or any of those automated installers. I just installed it using the disc. I set up bridged networking as per https://help.ubuntu.com/community/KVM/Networking . However, the bridged connection doesn't work. Here's my /etc/network/interfaces on the host, running ubuntu 10.04. (with specific public ip blanked) auto lo iface lo inet loopback auto eth0 iface eth0 inet manual auto br0 iface br0 inet static address xx.xx.xx.xx netmask 255.255.255.248 gateway xx.xx.xx.xa bridge_ports eth0 bridge_stp on bridge_fd 0 bridge_maxwait 10 ` Here's my /etc/network/interfaces on the guest, running ubuntu 8.04. auto lo iface lo inet loopback auto eth0 iface eth0 inet static address xx.xx.xx.xy netmask 255.255.255.248 gateway xx.xx.xx.xa The two vm's can communicate to each other. But, the guest vm can't access anyone in the real world. Here's my /etc/libvirt/qemu/store_804.xml <domain type='kvm'> <name>store_804</name> <uuid>27acfb75-4f90-a34c-9a0b-70a6927ae84c</uuid> <memory>2097152</memory> <currentMemory>2097152</currentMemory> <vcpu>2</vcpu> <os> <type arch='x86_64' machine='pc-0.12'>hvm</type> <boot dev='hd'/> </os> <features> <acpi/> <apic/> <pae/> </features> <clock offset='utc'/> <on_poweroff>destroy</on_poweroff> <on_reboot>restart</on_reboot> <on_crash>restart</on_crash> <devices> <emulator>/usr/bin/kvm</emulator> <disk type='file' device='disk'> <driver name='qemu' type='raw'/> <source file='/var/lib/libvirt/images/store_804.img'/> <target dev='hda' bus='ide'/> </disk> <disk type='block' device='cdrom'> <driver name='qemu' type='raw'/> <target dev='hdc' bus='ide'/> <readonly/> </disk> <interface type='bridge'> <mac address='52:54:00:26:0b:c6'/> <source bridge='br0'/> <model type='virtio'/> </interface> <console type='pty'> <target port='0'/> </console> <console type='pty'> <target port='0'/> </console> <input type='mouse' bus='ps2'/> <graphics type='vnc' port='-1' autoport='yes'/> <sound model='es1370'/> <video> <model type='cirrus' vram='9216' heads='1'/> </video> </devices> </domain> Any idea where I've gone wrong?

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• Windows 7 sometimes boots in VGA mode

  - by TuxRug

  I have an Asus G50VT-x5 laptop with nVidia GeForce9800M-GS graphics. Normally, Windows boots normally, but about 20% of the time (rough estimate), it will boot with the fallback VGA driver, maxing out at 800x600 with no Aero. I've checked the system logs and there is nothing indicating an error loading the nVidia driver. It even specifies in the logs that the Nvidia Display Driver service started successfully, even though it has booted in safe graphics mode. This has been happening for a while, but it's happening a little more often now than it was before. Since the first time my system exhibited this behavior, I have updated my graphics driver a handful of times. I used System Information for Windows to check for problems there, but the only thing that stood out was the following: Core Temperature 4486449 °C (8075639 °F) Shaders Temperature 1171513530 °C (2108724330 °F) I know this reading is incorrect, because my laptop is nowhere near the surface of the sun and my desk has not burst into flames. When it's opererating normally, I get a sane reading like [Core Temperature 58 °C (136 °F)] with no Shaders Temperature listed. All I have to do to resolve the issue is reboot. I have seen no stability issues with the graphics or anything else. A long time ago, I had an issue with this computer where my framerate would suddenly drop during a 3D game from 40fps to <1fps, but after looking at the temperature readout immediately after quitting a game, I removed the bottom panel and blew the dust out of the vent and heatsink. Since then I have no drops in framerate under any situation. I have uploaded a zip containing the SIW reports for when the problem is occurring and when the computer is operating normally. I don't have a paid account so it can only be downloaded 10 times, so please only download the reports if you think you can use them. If you try to download the reports and they are no longer available, please comment and I will re-upload them. If you want to look at the files, they are on Rapidshare. EDIT It happened again, and I looked a little deeper into the System logs. When this happens, there are a lot of errors about other device drivers unable to start. All of these errors are for PnP drivers. Also, my USB keyboard and mouse take a few moments before they actually start working, although this happens sometimes the first normal boot as well. I am quite sure this is related, so I am adding the pnp tag. Also, CHKDSK will not run on boot. Even if a check is scheduled or a volume is manually set as dirty, CHKDSK will be skipped entirely, not even leaving an entry in the System logs. I tried running CHKNTFS /D, which did not work. I then manually changed my HKLM\System\CurrentControlSet\Control\Session Manager BootExecute value to the default listed on Microsoft's website. That did not work either. I ended up booting to repair mode and running CHKDSK there, which found a number of minor inconsistencies on my system drive, but none on my data drive. I have no idea if this is related. Some more information for those who don't download my SIW report file: Antivirus and Firewall are ESET Smart Security I have three different virutalization programs installed: VMware Player, Windows Virtual PC, and VirtualBox. The network adapters for these show up in the log of failed device starts. EDIT 2 I tried running sfc /scannow, which reported that it found corrupted files that could not be fixed. The CBS log is extremely cryptic. I tried booting to my install disk, launching repair mode, and doing an offline sfc from there, which produced the same result.

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• DRBD not syncing between my nodes when IP is reset

  - by ramdaz

  I am trying to setup DRBD by following the article at http://www.howtoforge.com/setting-up-network-raid1-with-drbd-on-ubuntu-11.10-p2 I am using Ubuntu 10.04 DRBD - 8.3.11 In the first run I had everything working perfectly and when shifting the systems to a production environment I decided to restart the Meta Data creation part and start from scratch. The IPs had changed entirely in the production environment. Issuing drdbadm create-md r0 in both the servers runs successfully. But when I do "drbdadm -- --overwrite-data-of-peer primary all" on the primary it fails to start the re sync. My config file is as given below resource r0 { protocol C; syncer { rate 50M; } startup { wfc-timeout 15; degr-wfc-timeout 60; } net { cram-hmac-alg sha1; shared-secret "aklsadkjlhdbskjndsf8738734jkfkjfkjf"; } on primaryds { device /dev/drbd0; disk /dev/md2; address 172.16.7.1:7788; meta-disk internal; } on secondaryds { device /dev/drbd0; disk /dev/md2; address 172.16.7.3:7788; meta-disk internal; } } Status on primary root at primaryds:~# cat /proc/drbd version: 8.3.7 (api:88/proto:86-91) GIT-hash: ea9e28dbff98e331a62bcbcc63a6135808fe2917 build by root at primaryds, 2012-05-12 15:08:01 0: cs:WFBitMapS ro:Primary/Secondary ds:UpToDate/Inconsistent C r---- ns:0 nr:0 dw:0 dr:200 al:0 bm:0 lo:0 pe:0 ua:0 ap:0 ep:1 wo:b oos:5690352828 Status on secondary root at secondaryds:/etc/drbd.d# cat /proc/drbd version: 8.3.7 (api:88/proto:86-91) GIT-hash: ea9e28dbff98e331a62bcbcc63a6135808fe2917 build by root at secondaryds, 2012-05-12 15:25:25 0: cs:WFBitMapT ro:Secondary/Primary ds:Inconsistent/UpToDate C r---- ns:0 nr:0 dw:0 dr:0 al:0 bm:0 lo:0 pe:0 ua:0 ap:0 ep:1 wo:b oos:5690352828 Log of Primary May 30 13:42:23 primaryds kernel: [ 1584.057076] block drbd0: role( Secondary -> Primary ) disk( Inconsistent -> UpToDate ) May 30 13:42:23 primaryds kernel: [ 1584.086264] block drbd0: Forced to consider local data as UpToDate! May 30 13:42:23 primaryds kernel: [ 1584.086303] block drbd0: Creating new current UUID May 30 13:42:26 primaryds kernel: [ 1586.405551] block drbd0: drbd_sync_handshake: May 30 13:42:26 primaryds kernel: [ 1586.405564] block drbd0: self E8A075F378173D4B:0000000000000004:0000000000000000:0000000000000000 bits:1422588207 flags:0 May 30 13:42:26 primaryds kernel: [ 1586.405574] block drbd0: peer 0000000000000004:0000000000000000:0000000000000000:0000000000000000 bits:1422588207 flags:0 May 30 13:42:26 primaryds kernel: [ 1586.405582] block drbd0: uuid_compare()=2 by rule 30 May 30 13:42:26 primaryds kernel: [ 1586.405587] block drbd0: Becoming sync source due to disk states. May 30 13:42:26 primaryds kernel: [ 1586.405592] block drbd0: Writing the whole bitmap, full sync required after drbd_sync_handshake. May 30 13:42:27 primaryds kernel: [ 1588.171638] block drbd0: 5427 GB (1422588207 bits) marked out-of-sync by on disk bit-map. May 30 13:42:27 primaryds kernel: [ 1588.172769] block drbd0: conn( Connected -> WFBitMapS ) Log in Secondary May 30 13:42:24 secondaryds kernel: [ 1563.304894] block drbd0: peer( Secondary - Primary ) pdsk( Inconsistent - UpToDate ) May 30 13:42:24 secondaryds kernel: [ 1563.339674] block drbd0: drbd_sync_handshake: May 30 13:42:24 secondaryds kernel: [ 1563.339685] block drbd0: self 0000000000000004:0000000000000000:0000000000000000:0000000000000000 bits:1422588207 flags:0 May 30 13:42:24 secondaryds kernel: [ 1563.339695] block drbd0: peer E8A075F378173D4B:0000000000000004:0000000000000000:0000000000000000 bits:1422588207 flags:0 May 30 13:42:24 secondaryds kernel: [ 1563.339703] block drbd0: uuid_compare()=-2 by rule 20 May 30 13:42:24 secondaryds kernel: [ 1563.339709] block drbd0: Becoming sync target due to disk states. May 30 13:42:24 secondaryds kernel: [ 1563.339714] block drbd0: Writing the whole bitmap, full sync required after drbd_sync_handshake. May 30 13:42:26 secondaryds kernel: [ 1565.652342] block drbd0: 5427 GB (1422588207 bits) marked out-of-sync by on disk bit-map. May 30 13:42:26 secondaryds kernel: [ 1565.652965] block drbd0: conn( Connected - WFBitMapT ) The serves are not responding once it reaches this stage. Tried redoing it couple of time but noting happens. Why could the resync not be taking place? I would like some advice? Directions?

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• Parallel processing slower than sequential?

  - by zebediah49

  EDIT: For anyone who stumbles upon this in the future: Imagemagick uses a MP library. It's faster to use available cores if they're around, but if you have parallel jobs, it's unhelpful. Do one of the following: do your jobs serially (with Imagemagick in parallel mode) set MAGICK_THREAD_LIMIT=1 for your invocation of the imagemagick binary in question. By making Imagemagick use only one thread, it slows down by 20-30% in my test cases, but meant I could run one job per core without issues, for a significant net increase in performance. Original question: While converting some images using ImageMagick, I noticed a somewhat strange effect. Using xargs was significantly slower than a standard for loop. Since xargs limited to a single process should act like a for loop, I tested that, and found it to be about the same. Thus, we have this demonstration. Quad core (AMD Athalon X4, 2.6GHz) Working entirely on a tempfs (16g ram total; no swap) No other major loads Results: /media/ramdisk/img$ time for f in *.bmp; do echo $f ${f%bmp}png; done | xargs -n 2 -P 1 convert -auto-level real 0m3.784s user 0m2.240s sys 0m0.230s /media/ramdisk/img$ time for f in *.bmp; do echo $f ${f%bmp}png; done | xargs -n 2 -P 2 convert -auto-level real 0m9.097s user 0m28.020s sys 0m0.910s /media/ramdisk/img$ time for f in *.bmp; do echo $f ${f%bmp}png; done | xargs -n 2 -P 10 convert -auto-level real 0m9.844s user 0m33.200s sys 0m1.270s Can anyone think of a reason why running two instances of this program takes more than twice as long in real time, and more than ten times as long in processor time to complete the same task? After that initial hit, more processes do not seem to have as significant of an effect. I thought it might have to do with disk seeking, so I did that test entirely in ram. Could it have something to do with how Convert works, and having more than one copy at once means it cannot use processor cache as efficiently or something? EDIT: When done with 1000x 769KB files, performance is as expected. Interesting. /media/ramdisk/img$ time for f in *.bmp; do echo $f ${f%bmp}png; done | xargs -n 2 -P 1 convert -auto-level real 3m37.679s user 5m6.980s sys 0m6.340s /media/ramdisk/img$ time for f in *.bmp; do echo $f ${f%bmp}png; done | xargs -n 2 -P 1 convert -auto-level real 3m37.152s user 5m6.140s sys 0m6.530s /media/ramdisk/img$ time for f in *.bmp; do echo $f ${f%bmp}png; done | xargs -n 2 -P 2 convert -auto-level real 2m7.578s user 5m35.410s sys 0m6.050s /media/ramdisk/img$ time for f in *.bmp; do echo $f ${f%bmp}png; done | xargs -n 2 -P 4 convert -auto-level real 1m36.959s user 5m48.900s sys 0m6.350s /media/ramdisk/img$ time for f in *.bmp; do echo $f ${f%bmp}png; done | xargs -n 2 -P 10 convert -auto-level real 1m36.392s user 5m54.840s sys 0m5.650s

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• how to adjust the size of the root partition on live arch linux system (/dev/mapper/arch_root-image)

  - by leon

  Summary: I created a bootable usb drive with a live Bridge linux (ARCH based) on it. Everything works fine. The live system mounts a device called /dev/mapper/arch_root-image as its ext4 root partition (/ mount point). The problem is that I dont know how to control the size of this partition. This is not a Bridge specific issue (also happens with Archbang) Detail: My usb drive has a dos partition table with 2 ext2 partitions $ fdisk -l /dev/sdb Disk /dev/sdb: 29,8 GiB, 32006733824 bytes, 62513152 sectors Unités : secteur de 1 × 512 = 512 octets Taille de secteur (logique / physique) : 512 octets / 512 octets taille d'E/S (minimale / optimale) : 512 octets / 512 octets Type d'étiquette de disque : dos Identifiant de disque : 0x0007b7e2 Périphérique Amorçage Début Fin Blocs Id Système /dev/sdb1 * 2048 2002943 1000448 83 Linux /dev/sdb2 2002944 32258047 15127552 83 Linux sdb1 is approx 1GB and sdb2 is 14GB. The live system is on sdb1. sdb2 is empty. Now when I boot the live system, its filesystem looks like this: $ mount proc on /proc type proc (rw,nosuid,nodev,noexec,relatime) sys on /sys type sysfs (rw,nosuid,nodev,noexec,relatime) dev on /dev type devtmpfs (rw,nosuid,relatime,size=505272k,nr_inodes=126318,mode=755) run on /run type tmpfs (rw,nosuid,nodev,relatime,mode=755) /dev/sda1 on /run/archiso/bootmnt type ext2 (ro,relatime) cowspace on /run/archiso/cowspace type tmpfs (rw,relatime,size=772468k,mode=755) /dev/loop0 on /run/archiso/sfs/root-image type squashfs (ro,relatime) /dev/mapper/arch_root-image on / type ext4 (rw,relatime) securityfs on /sys/kernel/security type securityfs (rw,nosuid,nodev,noexec,relatime) tmpfs on /dev/shm type tmpfs (rw,nosuid,nodev) devpts on /dev/pts type devpts (rw,nosuid,noexec,relatime,gid=5,mode=620,ptmxmode=000) tmpfs on /sys/fs/cgroup type tmpfs (rw,nosuid,nodev,noexec,mode=755) cgroup on /sys/fs/cgroup/systemd type cgroup (rw,nosuid,nodev,noexec,relatime,xattr,release_agent=/usr/lib/systemd/systemd-cgroups-agent,name=systemd) pstore on /sys/fs/pstore type pstore (rw,nosuid,nodev,noexec,relatime) cgroup on /sys/fs/cgroup/cpuset type cgroup (rw,nosuid,nodev,noexec,relatime,cpuset) cgroup on /sys/fs/cgroup/cpu,cpuacct type cgroup (rw,nosuid,nodev,noexec,relatime,cpuacct,cpu) cgroup on /sys/fs/cgroup/memory type cgroup (rw,nosuid,nodev,noexec,relatime,memory) cgroup on /sys/fs/cgroup/devices type cgroup (rw,nosuid,nodev,noexec,relatime,devices) cgroup on /sys/fs/cgroup/freezer type cgroup (rw,nosuid,nodev,noexec,relatime,freezer) cgroup on /sys/fs/cgroup/net_cls type cgroup (rw,nosuid,nodev,noexec,relatime,net_cls) cgroup on /sys/fs/cgroup/blkio type cgroup (rw,nosuid,nodev,noexec,relatime,blkio) mqueue on /dev/mqueue type mqueue (rw,relatime) debugfs on /sys/kernel/debug type debugfs (rw,relatime) hugetlbfs on /dev/hugepages type hugetlbfs (rw,relatime) configfs on /sys/kernel/config type configfs (rw,relatime) systemd-1 on /proc/sys/fs/binfmt_misc type autofs (rw,relatime,fd=36,pgrp=1,timeout=300,minproto=5,maxproto=5,direct) tmpfs on /tmp type tmpfs (rw) tmpfs on /etc/pacman.d/gnupg type tmpfs (rw,relatime,mode=755) As we can see, the root partition is from the device /dev/mapper/arch_root-image and my problem is that the live system recognizes it as a 3.9GB drive $ df -h Filesystem Size Used Avail Use% Mounted on /dev/mapper/arch_root-image 3.9G 1.9G 2.1G 48% / dev 494M 0 494M 0% /dev run 503M 23M 481M 5% /run /dev/sda1 962M 590M 324M 65% /run/archiso/bootmnt cowspace 755M 32M 723M 5% /run/archiso/cowspace /dev/loop0 520M 520M 0 100% /run/archiso/sfs/root-image tmpfs 503M 132K 503M 1% /dev/shm tmpfs 503M 0 503M 0% /sys/fs/cgroup tmpfs 503M 360K 503M 1% /tmp tmpfs 503M 896K 503M 1% /etc/pacman.d/gnupg My question is how is this size controled? I suspect this is related to the content of the aitab file which is part of the Bridge iso image: $ cat aitab # <img> <mnt> <arch> <sfs_comp> <fs_type> <fs_size> root-image / i686 xz ext4 50% I have read https://wiki.archlinux.org/index.php/archiso#aitab but found no clue

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• Squid not caching files (Randomly)

  - by Heinrich

  I want to use an intercepting squid server to cache specific large zip files that users in my network download frequently. I have configured squid on a gateway machine and caching is working for "static" zip files that are served from an Apache web server outside our network. The files that I want to have cached by squid are zip files 100MB which are served from a heroku-hosted Rails application. I set an ETag header (SHA hash of the zip file on the server) and Cache-Control: public header. However, these files are not cached by squid. This, for example, is a request that is not cached: $ curl --no-keepalive -v -o test.zip --header "X-Access-Key: 20767ed397afdea90601fda4513ceb042fe6ab4e51578da63d3bc9b024ed538a" --header "X-Customer: 5" "http://MY_APP.herokuapp.com/api/device/v1/media/download?version=latest" * Adding handle: conn: 0x7ffd4a804400 * Adding handle: send: 0 * Adding handle: recv: 0 ... > GET /api/device/v1/media/download?version=latest HTTP/1.1 > User-Agent: curl/7.30.0 > Host: MY_APP.herokuapp.com > Accept: */* > X-Access-Key: 20767ed397afdea90601fda4513ceb042fe6ab4e51578da63d3bc9b024ed538a > X-Customer: 5 > 0 0 0 0 0 0 0 0 --:--:-- 0:00:09 --:--:-- 0< HTTP/1.1 200 OK * Server Cowboy is not blacklisted < Server: Cowboy < Date: Mon, 18 Aug 2014 14:13:27 GMT < Status: 200 OK < X-Frame-Options: SAMEORIGIN < X-Xss-Protection: 1; mode=block < X-Content-Type-Options: nosniff < ETag: "95e888938c0d539b8dd74139beace67f" < Content-Disposition: attachment; filename="e7cce850ae728b81fe3f315d21a560af.zip" < Content-Transfer-Encoding: binary < Content-Length: 125727431 < Content-Type: application/zip < Cache-Control: public < X-Request-Id: 7ce6edb0-013a-4003-a331-94d2b8fae8ad < X-Runtime: 1.244251 < X-Cache: MISS from AAA.fritz.box < Via: 1.1 vegur, 1.1 AAA.fritz.box (squid/3.3.11) < Connection: keep-alive In the logs squid is reporting a TCP_MISS. This is the relevant excerpt from my squid file: # Squid normally listens to port 3128 http_port 3128 http_port 3129 intercept # Uncomment and adjust the following to add a disk cache directory. maximum_object_size 1000 MB maximum_object_size_in_memory 1000 MB cache_dir ufs /usr/local/var/cache/squid 10000 16 256 cache_mem 2000 MB # Leave coredumps in the first cache dir coredump_dir /usr/local/var/cache/squid cache_store_log daemon:/usr/local/var/logs/cache_store.log #refresh_pattern -i (/cgi-bin/|\?) 0 0% 0 refresh_pattern -i .(zip) 525600 100% 525600 override-expire ignore-no-cache ignore-no-store refresh_pattern . 0 20% 4320 ## DNS Configuration dns_nameservers 8.8.8.8 8.8.4.4 After trying around for some time I realized that squid is sometimes deciding that my file is cacheable, sometimes not, depending on whether and when I enable/disable the dns_nameservers directive. What could be wrong here?

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• Specifying a Postfix Instance to send outbound email

  - by Catherine Jefferson

  I have a CentOS 6.5 server running Postfix 2.6x (the default distribution) with five public IPv4 IPs bound to it. Each IP has DNS and rDNS set separately. Each uses a different hostname at a different domain. I have five Postfix instances, one bound to each IP, like this example: 192.168.34.104 red.example.com /etc/postfix 192.168.36.48 green.example.net /etc/postfix-green 192.168.36.49 pink.example.org /etc/postfix-pink 192.168.36.50 orange.example.info /etc/postfix-orange 192.168.36.51 blue.example.us /etc/postfix-blue I've tested each IP by telneting to port 25. Postfix answers and banners properly with the correct hostname. Email is received on all of these instances with no problems and is routed to the correct place. This setup, minus the final instance, has existed for a couple of years and works. I never bothered to set up outbound email to go through any but the main instance, however; there was no need. Now I need to send email from blue.example.us that actually leaves from that interface and IP, such that the Received headers show blue.example.us as the sending mailhost, so that SPF and DKIM validate, etc etc. The email that will be sent from blue.example.com is a feedback loop sent by a single shell account on the server (account5), an account that is dedicated to sending this email. The account receives the feedback loop emails from servers on other networks, saves the bodies of those emails, and then generates a new outbound email header, appends the saved body, and sends the email. It's sending by piping each email to sendmail -oi -t. We're doing it this way to mask the identities of the initial servers. The procmail script that processes these emails works correctly. However, I cannot configure this account to send email through the proper Postfix instance/IP/interface. The exact same account and script sends email through the main Postfix instance /etc/postfix without any issues. When I change MAIL_CONFIG to point to /etc/postfix-blue in either .bash_profile or the Procmail script that handles this email, though, I get this error: sendmail: fatal: User account5(###) is not allowed to submit mail I've read the manuals on Postfix.org, searched Google, and tried the suggestions in three previous answers here on ServerFault.com: Postfix - specify interface to deliver outbound mail on Postfix user is not allowed to submit mail Postfix rejects php mails I have been careful to stop and restart Postfix after each configuration change, and tested the results. Nothing has worked. The main postfix instance happily accepts outbound email from account5. The postfix-blue instance continues to reject email from account5 with the sendmail error above. As tempting as it is to blame machine hostility, I know that I must be missing something or doing something wrong. Does anybody have any suggestions as to what it might be? Please feel free to ask for further information about my setup if you need it. =-=-=-=-=-=-=-=-=-= At the request of the responder, here are main.cf and master.cf for a) the main postfix instance ("red.example.com") and b) the FBL instance ("blue.example.us") [NOTE: All parameters not specified below were left at the default Postfix 2.6 settings] MAIN: master.cf smtp inet n - n - - smtpd main.cf myhostname = red.example.com mydomain = example.com inet_interfaces = $myhostname, localhost inet_protocols = all lmtp_host_lookup = native smtp_host_lookup = native ignore_mx_lookup_error = yes mydestination = $myhostname, localhost.$mydomain, localhost local_recipient_maps = mynetworks = 192.168.34.104/32 relay_domains = example.com, example.info, example.net, example.org, example.us relayhost = [192.168.34.102] # Separate physical server, main mailserver. relay_recipient_maps = hash:/etc/postfix/relay_recipients alias_maps = hash:/etc/aliases alias_database = hash:/etc/aliases smtpd_banner = $myhostname ESMTP $mail_name multi_instance_wrapper = ${command_directory}/postmulti -p -- multi_instance_enable = yes multi_instance_directories = /etc/postfix-green /etc/postfix-pink /etc/postfix-orange /etc/postfix-blue FBL: master.cf 184.173.119.103:25 inet n - n - - smtpd main.cf myhostname = blue.example.us mydomain = blue.example.us <= Deliberately set to subdomain only. myorigin = $mydomain inet_interfaces = $myhostname lmtp_host_lookup = native smtp_host_lookup = native ignore_mx_lookup_error = yes mydestination = $myhostname local_recipient_maps = unix:passwd.byname $alias_maps $virtual_alias_maps mynetworks = 192.168.36.51/32, 192.168.35.20/31 <= Second IP is backup MX servers relay_domains = $mydestination recipient_canonical_maps = hash:/etc/postfix-blue/canonical virtual_alias_maps = hash:/etc/postfix-fbl/virtual alias_maps = hash:/etc/aliases, hash:/etc/postfix-blue/canonical alias_maps = hash:/etc/aliases, hash:/etc/postfix-blue/canonical mailbox_command = /usr/bin/procmail -a "$EXTENSION" DEFAULT=$HOME/Mail/ MAILDIR=$HOME/Mail smtpd_banner = $myhostname ESMTP $mail_name authorized_submit_users = multi_instance_name = postfix-blue multi_instance_enable = yes

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• What's going on with my server? High load, lots of idle CPU time, low disk utilization

  - by Jonathan

  I run a web site and send a legitimate opt-in, daily email newsletter to subscribers. Both the web hosting and email sending are done by the same machine. I have about 100,000 subscribers who have opted in to my daily email newsletter. My PHP script did a pretty good job sending mail to all of them until fairly recently, but as the list has grown I can't keep up. When I run top, I have very high load--usually at least 6 or 7, sometimes as high as 15--even though I only have two CPUs. However, when I run sar, my CPU is idle an average of about 30% of the time. So, it seems I'm not CPU bound. When I run iostat, it seems as though I'm not disk bound because my %util for each device is very low (no more than 5%). Given that I don't seem to be CPU bound or disk bound, why is top reporting such high load? Additionally, since I don't seem to be CPU bound or disk bound, why is my email sending script not able to keep up? Here's what I see when running top: top - 11:33:28 up 74 days, 18:49, 2 users, load average: 7.65, 8.79, 8.28 Tasks: 168 total, 5 running, 162 sleeping, 0 stopped, 1 zombie Cpu(s): 38.9%us, 58.6%sy, 0.8%ni, 0.0%id, 0.7%wa, 0.2%hi, 0.8%si, 0.0%st Mem: 3083012k total, 2144436k used, 938576k free, 281136k buffers Swap: 2048248k total, 39164k used, 2009084k free, 1470412k cached Here's what I see when running iostat -mx: avg-cpu: %user %nice %system %iowait %steal %idle 34.80 1.20 55.24 0.37 0.00 8.38 Device: rrqm/s wrqm/s r/s w/s rMB/s wMB/s avgrq-sz avgqu-sz await svctm %util sda 0.19 71.70 1.59 29.45 0.02 0.07 5.90 0.55 17.82 1.16 3.59 sda1 0.00 0.00 0.00 0.00 0.00 0.00 7.10 0.00 13.80 13.72 0.00 sda2 0.05 50.45 1.13 24.57 0.01 0.29 24.25 0.35 13.43 1.15 2.97 sda3 0.05 10.17 0.20 2.33 0.01 0.05 43.75 0.05 20.96 2.45 0.62 sda4 0.00 0.00 0.00 0.00 0.00 0.00 2.00 0.00 70.50 70.50 0.00 sda5 0.07 0.22 0.03 0.07 0.00 0.00 32.84 0.08 856.19 8.03 0.08 sda6 0.02 5.45 0.03 0.72 0.00 0.02 67.55 0.02 26.72 5.26 0.39 sda7 0.00 1.56 0.00 0.42 0.00 0.01 38.04 0.00 8.88 5.84 0.24 sda8 0.01 3.84 0.20 1.35 0.00 0.02 28.55 0.05 31.90 4.08 0.63 Here's what I see when running sar: 09:40:02 AM CPU %user %nice %system %iowait %steal %idle 09:50:01 AM all 30.59 1.01 49.80 0.23 0.00 18.37 10:00:08 AM all 31.73 0.92 51.66 0.13 0.00 15.55 10:10:06 AM all 30.43 0.99 48.94 0.26 0.00 19.38 10:20:01 AM all 29.58 1.00 47.76 0.25 0.00 21.42 10:30:01 AM all 29.37 1.02 47.30 0.18 0.00 22.13 10:40:06 AM all 32.50 1.01 52.94 0.16 0.00 13.39 10:50:01 AM all 30.49 1.00 49.59 0.15 0.00 18.77 11:00:01 AM all 29.43 0.99 47.71 0.17 0.00 21.71 11:10:07 AM all 30.26 0.93 49.48 0.83 0.00 18.50 11:20:02 AM all 29.83 0.81 48.51 1.32 0.00 19.52 11:30:06 AM all 31.18 0.88 51.33 1.15 0.00 15.47 Average: all 26.21 1.15 42.62 0.48 0.00 29.54 Here are the top handful of processes listed at the particular time I happened to run top -c: PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 8180 mysql 16 0 57448 19m 2948 S 26.6 0.7 4702:26 /usr/sbin/mysqld --basedir=/ --datadir=/var/lib/mysql --user=mysql --pid-file=/var/lib/mysql/bristno.pid --skip-external-locking 26956 brristno 17 0 0 0 0 Z 8.0 0.0 0:00.24 [php] <defunct> 26958 brristno 17 0 94408 43m 37m R 5.0 1.4 0:00.15 /usr/bin/php /home/brristno/public_html/dbv.php 22852 nobody 16 0 9628 2900 1524 S 0.7 0.1 0:00.17 /usr/local/apache/bin/httpd -k start -DSSL 8591 brristno 34 19 96896 13m 6652 S 0.3 0.4 0:29.82 /usr/local/bin/php /home/brristno/bin/mailer.php 1qwqyb6 i0gbor 24469 nobody 16 0 9628 2880 1508 S 0.3 0.1 0:00.08 /usr/local/apache/bin/httpd -k start -DSSL 25495 nobody 15 0 9628 2876 1500 S 0.3 0.1 0:00.06 /usr/local/apache/bin/httpd -k start -DSSL 26149 nobody 15 0 9628 2864 1504 S 0.3 0.1 0:00.04 /usr/local/apache/bin/httpd -k start -DSSL

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• Apache SSL reverse proxy to a Embed Tomcat

  - by ggarcia24

  I'm trying to put in place a reverse proxy for an application that is running a tomcat embed server over SSL. The application needs to run over SSL on the port 9002 so I have no way of "disabling SSL" for this app. The current setup schema looks like this: [192.168.0.10:443 - Apache with mod_proxy] --> [192.168.0.10:9002 - Tomcat App] After googling on how to make such a setup (and testing) I came across this: https://bugs.launchpad.net/ubuntu/+source/openssl/+bug/861137 Which lead to make my current configuration (to try to emulate the --secure-protocol=sslv3 option of wget) /etc/apache2/sites/enabled/default-ssl: <VirtualHost _default_:443> SSLEngine On SSLCertificateFile /etc/ssl/certs/ssl-cert-snakeoil.pem SSLCertificateKeyFile /etc/ssl/private/ssl-cert-snakeoil.key SSLProxyEngine On SSLProxyProtocol SSLv3 SSLProxyCipherSuite SSLv3 ProxyPass /test/ https://192.168.0.10:9002/ ProxyPassReverse /test/ https://192.168.0.10:9002/ LogLevel debug ErrorLog /var/log/apache2/error-ssl.log CustomLog /var/log/apache2/access-ssl.log combined </VirtualHost> The thing is that the error log is showing error:14077102:SSL routines:SSL23_GET_SERVER_HELLO:unsupported protocol Complete request log: [Wed Mar 13 20:05:57 2013] [debug] mod_proxy.c(1020): Running scheme https handler (attempt 0) [Wed Mar 13 20:05:57 2013] [debug] mod_proxy_http.c(1973): proxy: HTTP: serving URL https://192.168.0.10:9002/ [Wed Mar 13 20:05:57 2013] [debug] proxy_util.c(2011): proxy: HTTPS: has acquired connection for (192.168.0.10) [Wed Mar 13 20:05:57 2013] [debug] proxy_util.c(2067): proxy: connecting https://192.168.0.10:9002/ to 192.168.0.10:9002 [Wed Mar 13 20:05:57 2013] [debug] proxy_util.c(2193): proxy: connected / to 192.168.0.10:9002 [Wed Mar 13 20:05:57 2013] [debug] proxy_util.c(2444): proxy: HTTPS: fam 2 socket created to connect to 192.168.0.10 [Wed Mar 13 20:05:57 2013] [debug] proxy_util.c(2576): proxy: HTTPS: connection complete to 192.168.0.10:9002 (192.168.0.10) [Wed Mar 13 20:05:57 2013] [info] [client 192.168.0.10] Connection to child 0 established (server demo1agrubu01.demo.lab:443) [Wed Mar 13 20:05:57 2013] [info] Seeding PRNG with 656 bytes of entropy [Wed Mar 13 20:05:57 2013] [debug] ssl_engine_kernel.c(1866): OpenSSL: Handshake: start [Wed Mar 13 20:05:57 2013] [debug] ssl_engine_kernel.c(1874): OpenSSL: Loop: before/connect initialization [Wed Mar 13 20:05:57 2013] [debug] ssl_engine_kernel.c(1874): OpenSSL: Loop: unknown state [Wed Mar 13 20:05:57 2013] [debug] ssl_engine_io.c(1897): OpenSSL: read 7/7 bytes from BIO#7f122800a100 [mem: 7f1230018f60] (BIO dump follows) [Wed Mar 13 20:05:57 2013] [debug] ssl_engine_io.c(1830): +-------------------------------------------------------------------------+ [Wed Mar 13 20:05:57 2013] [debug] ssl_engine_io.c(1869): | 0000: 15 03 01 00 02 02 50 ......P | [Wed Mar 13 20:05:57 2013] [debug] ssl_engine_io.c(1875): +-------------------------------------------------------------------------+ [Wed Mar 13 20:05:57 2013] [debug] ssl_engine_kernel.c(1903): OpenSSL: Exit: error in unknown state [Wed Mar 13 20:05:57 2013] [info] [client 192.168.0.10] SSL Proxy connect failed [Wed Mar 13 20:05:57 2013] [info] SSL Library Error: 336032002 error:14077102:SSL routines:SSL23_GET_SERVER_HELLO:unsupported protocol [Wed Mar 13 20:05:57 2013] [info] [client 192.168.0.10] Connection closed to child 0 with abortive shutdown (server example1.domain.tld:443) [Wed Mar 13 20:05:57 2013] [error] (502)Unknown error 502: proxy: pass request body failed to 172.31.4.13:9002 (192.168.0.10) [Wed Mar 13 20:05:57 2013] [error] [client 192.168.0.10] proxy: Error during SSL Handshake with remote server returned by /dsfe/ [Wed Mar 13 20:05:57 2013] [error] proxy: pass request body failed to 192.168.0.10:9002 (172.31.4.13) from 172.31.4.13 () [Wed Mar 13 20:05:57 2013] [debug] proxy_util.c(2029): proxy: HTTPS: has released connection for (172.31.4.13) [Wed Mar 13 20:05:57 2013] [debug] ssl_engine_kernel.c(1884): OpenSSL: Write: SSL negotiation finished successfully [Wed Mar 13 20:05:57 2013] [info] [client 192.168.0.10] Connection closed to child 6 with standard shutdown (server example1.domain.tld:443) If I do a wget --secure-protocol=sslv3 --no-check-certificate https://192.168.0.10:9002/ it works perfectly, but from apache is not working. I'm on an Ubuntu Server with the latest updates running apache2 with mod_proxy and mod_ssl enabled: ~$ cat /etc/lsb-release DISTRIB_ID=Ubuntu DISTRIB_RELEASE=12.04 DISTRIB_CODENAME=precise DISTRIB_DESCRIPTION="Ubuntu 12.04.2 LTS" ~# dpkg -s apache2 ... Version: 2.2.22-1ubuntu1.2 ... ~# dpkg -s openssl ... Version: 1.0.1-4ubuntu5.7 ... Hope that anyone may help

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• How to install Delorme StreetAtlas (any version) + GPS inside VirtualBox VM?

  - by hotei

  When I try to run the install program I get a popup message that says the installer program is not a valid executable. Background: I want a GPS with maps on my laptop running Ubuntu 10.4LTS. Unfortunately I can't find a decent native Linux GPS solution with 50 state US street level coverage. I have VirtualBox VMs available for WinXP and Win7 (among others). The VMs work fine with MicroSoft Streets and Trips (2010) and MapNGo 5 (a very! old Delorme product), but while both these products support GPS, they don't support the Earthmate LT-40 USB GPS I already have. I've got pretty much every Delorme Street Atlas they've released in the last decade and none of them will install in a VM. Any help would be much appreciated. Clarification: I've installed the Delorme products from these CDs before and the disks are fine - as long as installation is done on a "physical" machine. Added: I've tried install from an iso as well as the real CD. No difference in result (setup.exe is not a valid executable) The WinXP is SP-2 (held back on purpose at this point - I'll snapshot and fork a later SP to test). The Win2K is SP-6a. Win7(32) VM is whatever updates came out last week. The USB setup is working at least to the point where the GPS device is active in the device list (has an x in the box). At this point its not relevant because the program that needs to read it can't even be installed. Added 9-19: Added wine as harrymc suggested. Initial result was no change. Here's wines error message. The file '/media/Disk1/setup.exe' is not marked as executable. If this was downloaded or copied form an untrusted source, it may be dangerous to run. For more details, read about the executable bit. At first I thought the execute bit was the problem, but looking at several other windows CDs I see that the execute bit is not set on their exe files (which install to VM without error). Still it was worth a shot so I copied the StreetAtlas 9 DVD to my hard disk, changed the on-disk exe files to have the execute bit set and tried to install again. This time the install via wine got me through the installation process. When I start the program it bombs immediately, so we haven't made much real progress so far. I very much prefer the VM solution to wine, so I'm going back to that for now. To recap the VM situation, using an updated XP with SP3 and all recommended hotfixes: StreetAtlas 2009 USA fails with "not marked as executable". StreetAtlas 2007 USA fails with "not marked as executable". StreetAtlas 9 (copyright 2001) fails with "not marked as executable". SteeetAtlas (copyright 1991) fails with "not marked as executable" Delorme Topo 4 (copyright 2002) fails with "not marked as executable". Just about ready to give up. So I switched from XP VM to Win7 VM and tried StreetAtlas 2009 again. This time it installs. Earthmate USB GPS works. WTH? I feel like the monkey who just wrote a line of Shakespear. I'm smiling because it worked, but I have no clue why. I'm awarding the bounty to harrymc because wine did give some useful insight into the problem and a +1 to goyiux as thanks for helping.

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• Connecting PC to TV via HDMI/DVI: Windows XP doesn't allow the appropriate screen resolution

  - by Jørgen

  I have a computer that is connected to the living room TV (a Panasonic) via HDMI. There is no other monitor connected. My problem is that the computer, which is running Windows XP, does not allow me to set the proper resolution for the TV. Both the graphics adapter and the TV should support the 1280x720 resolution, but it cannot be selected - the only available options are 1280x600 and 800x600, both in the "native" Windows dialog box and the custom Intel graphics options dialog box. Do anyone have a suggestion for a solution for this? Things I've thought of: Setting the resolution directly in the registry (where?) Installing some "custom" monitor driver (the TV manufacturer does not appear to provide any, currently the "generic" one is used) Details on the setup: Connection: DVI output on the computer via a passive DVI-HDMI adapter to the HDMI input on the TV, audio is run on a separate link, the TV is able to combine video and audio without any problem, the problem is there regardless of whether or not the audio is connected. The connection is several meters long through some walls, for this reason using a VGA cable instead is not an option. Note that the report explicitly says that the TV supports 1280x720. Still, I am not allowed to select it in Graphics Options, only 1280x600 and 800x600 is available. For 800x600, there's a lot of black around the edges; for 1280x600, the screen is "zoomed" so the edges of the monitor image (like the taskbar) is not visible. Other: The computer is running Windows XP. More recent versions of Windows are not an option (I have no licence). Linux is probably not an option (some of the video streaming sites I plan to use do not support it, I think) I wrote the rest of the details below. Thanks for any help!! TV: Panasonic TX-L32X10Y, European version; a 720p 32" quite "regular" LCD TV. Allowed resolutions according to manual: Signal name: 640x480 @60HZ Horizontal frequency: 31.47 kHz Vertical frequency: 60Hz Signal name: 750/720) /60p Horizontal frequency: 45.00 kHz Vertical frequency: 60Hz Signal name: 1,125 (1,080) / 60p Horizontal frequency: 67.50 kHz Vertical frequency: 60Hz (this is exactly how the manual presents it. PC via D-SUB (VGA cable) and "regular" HDMI have more alternatives.) Messing with the "zoom" settings on the TV does not affect the available resolution options on the computer. Computer: The following is a printout from one of the graphics adapter option pages. I think it covers most of it. The computer is a Dell. INTEL(R) EXTREME GRAPHICS 2 REPORT Report Date: 04/17/2011 Report Time[hr:mm:ss]: 20:18:02 Driver Version: 6.14.10.4396 Operating System: Windows XP* Professional, Service Pack 3 (5.1.2600) Default Language: English DirectX* Version: 9.0 Physical Memory: 1021 MB Minimum Graphics Memory: 1 MB Maximum Graphics Memory: 96 MB Graphics Memory in Use: 6 MB Processor: x86 Processor Speed: 2593 MHZ Vendor ID: 8086 Device ID: 2572 Device Revision: 02 * Accelerator Information * Accelerator in Use: Intel(R) 82865G Graphics Controller Video BIOS: 2972 Current Graphics Mode: 1280 by 600 True Color (60 Hz) * Devices Connected to the Graphics Accelerator * Active Digital Displays: 1 * Digital Display * Monitor Name: Plug and Play Monitor Display Type: Digital Gamma Value: 2.20 DDC2 Protocol: Supported Maximum Image Size: Horizontal: Not Available Vertical: Not Available Monitor Supported Modes: 1280 by 720 (50 Hz) 1280 by 720 (60 Hz) Display Power Management Support: Standby Mode: Not Supported Suspend Mode: Not Supported Active Off Mode: Not Supported (disclaimer: this question was also asked at the Wikipedia Reference Desk some time ago and might show up in a Google search. I got no useful answers there.)

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• The best dvd ripper software in 2014 review

  - by user328170

  The top 3 DVD Ripping Tools in 2014 Nowadays everyone may have several smart mobile devices, such as iphone, ipad air, ipad mini ,Samsung Galaxy and Sony Xperia. If you want to take your movies with your mobile devices, or sometimes just want to backup those classic physical discs on your notebook or workstation with high quality resolutions, you need a fast and stable software to rip them and convert them to the format you like. Fortunately, there are plenty of great software products designed to make the process easy and transform DVD to the files that are playable on any mobile device you choose. We have done a full review on dozens of products. Here are five of the best, based on our review. We test the software from its ripping speed, friendly use guide , reliability and ripping capability. The top one is still Winx DVD Ripper platinum. We've test its 6.1 version 2 years ago for its ability to quickly and easily rip DVDs and Blu-ray discs to high quality MKV files with a single click. It gave us deep impression in the test. This time we test it’s lastest 7.3.5 version. Besides easy use and speed, we test its capability to decrypt all kinds of discs with different protect method, for example, Disney X-project DRM , Sony ArccOS, RCE and region code. The result shows that winx dvd ripper platinum still maintain its advantages in all the area. Winx dvd ripper platinum is a more focused on DVD ripping software with the basic duty to rip and convert DVD. The color of UI is a modern technical sense. All the main functions are shown obviously while others specials are hidden for advanced users, making it more clear and convenient to make option. There are two company weisoft limited and Digiarty who can provide the software. Weisoft limited focus on USA, UK and Australia market. Digiarty focus on others. ripping speed ????? friendly use guide ????? reliability ????? ripping capability ????? The second one DVDFab DVDFab is also very robust during ripping dics. It can also decrypt most of the dics in the market. The shortage it still friendly use and speed. We'd note that the app is frequently updated to cut through the copy protection on even the latest DVDs and Blu-ray discs . The app is shareware, meaning most features are free, including decrypting and ripping to your hard drive. Many of you note that you use another app for compression and authoring, but many of you say they hey, storage is cheap, and the rips from DVDFab are easy, one-click, and work. ripping speed ??? friendly use guide ???? reliability ????? ripping capability ????? The Third one is Handbrake Handbrake is our favorite video encoder for a reason: it's simple, easy to use, easy to install, and offers a lots of options to get the high quality file as a result. If you're scared by them, you don't even have to use them—the app will compensate for you and pick some settings it thinks you'll like based on your destination device. So many of you like Handbrake that many of you use it in conjunction with another app (like VLC, which makes ripping easy)—you'll let another app do the rip and crack the DRM on your discs, and then process the file through Handbrake for encoding. The app is fast, can make the most of multi-core processors to speed up the process, and is completely open source. ripping speed ??? friendly use guide ???? reliability ???? ripping capability ????

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• Parallelism in .NET – Part 5, Partitioning of Work

  - by Reed

  When parallelizing any routine, we start by decomposing the problem.  Once the problem is understood, we need to break our work into separate tasks, so each task can be run on a different processing element.  This process is called partitioning. Partitioning our tasks is a challenging feat.  There are opposing forces at work here: too many partitions adds overhead, too few partitions leaves processors idle.  Trying to work the perfect balance between the two extremes is the goal for which we should aim.  Luckily, the Task Parallel Library automatically handles much of this process.  However, there are situations where the default partitioning may not be appropriate, and knowledge of our routines may allow us to guide the framework to making better decisions. First off, I’d like to say that this is a more advanced topic.  It is perfectly acceptable to use the parallel constructs in the framework without considering the partitioning taking place.  The default behavior in the Task Parallel Library is very well-behaved, even for unusual work loads, and should rarely be adjusted.  I have found few situations where the default partitioning behavior in the TPL is not as good or better than my own hand-written partitioning routines, and recommend using the defaults unless there is a strong, measured, and profiled reason to avoid using them.  However, understanding partitioning, and how the TPL partitions your data, helps in understanding the proper usage of the TPL. I indirectly mentioned partitioning while discussing aggregation.  Typically, our systems will have a limited number of Processing Elements (PE), which is the terminology used for hardware capable of processing a stream of instructions.  For example, in a standard Intel i7 system, there are four processor cores, each of which has two potential hardware threads due to Hyperthreading.  This gives us a total of 8 PEs – theoretically, we can have up to eight operations occurring concurrently within our system. In order to fully exploit this power, we need to partition our work into Tasks.  A task is a simple set of instructions that can be run on a PE.  Ideally, we want to have at least one task per PE in the system, since fewer tasks means that some of our processing power will be sitting idle.  A naive implementation would be to just take our data, and partition it with one element in our collection being treated as one task.  When we loop through our collection in parallel, using this approach, we’d just process one item at a time, then reuse that thread to process the next, etc.  There’s a flaw in this approach, however.  It will tend to be slower than necessary, often slower than processing the data serially. The problem is that there is overhead associated with each task.  When we take a simple foreach loop body and implement it using the TPL, we add overhead.  First, we change the body from a simple statement to a delegate, which must be invoked.  In order to invoke the delegate on a separate thread, the delegate gets added to the ThreadPool’s current work queue, and the ThreadPool must pull this off the queue, assign it to a free thread, then execute it.  If our collection had one million elements, the overhead of trying to spawn one million tasks would destroy our performance. The answer, here, is to partition our collection into groups, and have each group of elements treated as a single task.  By adding a partitioning step, we can break our total work into small enough tasks to keep our processors busy, but large enough tasks to avoid overburdening the ThreadPool.  There are two clear, opposing goals here: Always try to keep each processor working, but also try to keep the individual partitions as large as possible. When using Parallel.For, the partitioning is always handled automatically.  At first, partitioning here seems simple.  A naive implementation would merely split the total element count up by the number of PEs in the system, and assign a chunk of data to each processor.  Many hand-written partitioning schemes work in this exactly manner.  This perfectly balanced, static partitioning scheme works very well if the amount of work is constant for each element.  However, this is rarely the case.  Often, the length of time required to process an element grows as we progress through the collection, especially if we’re doing numerical computations.  In this case, the first PEs will finish early, and sit idle waiting on the last chunks to finish.  Sometimes, work can decrease as we progress, since previous computations may be used to speed up later computations.  In this situation, the first chunks will be working far longer than the last chunks.  In order to balance the workload, many implementations create many small chunks, and reuse threads.  This adds overhead, but does provide better load balancing, which in turn improves performance. The Task Parallel Library handles this more elaborately.  Chunks are determined at runtime, and start small.  They grow slowly over time, getting larger and larger.  This tends to lead to a near optimum load balancing, even in odd cases such as increasing or decreasing workloads.  Parallel.ForEach is a bit more complicated, however. When working with a generic IEnumerable<T>, the number of items required for processing is not known in advance, and must be discovered at runtime.  In addition, since we don’t have direct access to each element, the scheduler must enumerate the collection to process it.  Since IEnumerable<T> is not thread safe, it must lock on elements as it enumerates, create temporary collections for each chunk to process, and schedule this out.  By default, it uses a partitioning method similar to the one described above.  We can see this directly by looking at the Visual Partitioning sample shipped by the Task Parallel Library team, and available as part of the Samples for Parallel Programming.  When we run the sample, with four cores and the default, Load Balancing partitioning scheme, we see this: The colored bands represent each processing core.  You can see that, when we started (at the top), we begin with very small bands of color.  As the routine progresses through the Parallel.ForEach, the chunks get larger and larger (seen by larger and larger stripes). Most of the time, this is fantastic behavior, and most likely will out perform any custom written partitioning.  However, if your routine is not scaling well, it may be due to a failure in the default partitioning to handle your specific case.  With prior knowledge about your work, it may be possible to partition data more meaningfully than the default Partitioner. There is the option to use an overload of Parallel.ForEach which takes a Partitioner<T> instance.  The Partitioner<T> class is an abstract class which allows for both static and dynamic partitioning.  By overriding Partitioner<T>.SupportsDynamicPartitions, you can specify whether a dynamic approach is available.  If not, your custom Partitioner<T> subclass would override GetPartitions(int), which returns a list of IEnumerator<T> instances.  These are then used by the Parallel class to split work up amongst processors.  When dynamic partitioning is available, GetDynamicPartitions() is used, which returns an IEnumerable<T> for each partition.  If you do decide to implement your own Partitioner<T>, keep in mind the goals and tradeoffs of different partitioning strategies, and design appropriately. The Samples for Parallel Programming project includes a ChunkPartitioner class in the ParallelExtensionsExtras project.  This provides example code for implementing your own, custom allocation strategies, including a static allocator of a given chunk size.  Although implementing your own Partitioner<T> is possible, as I mentioned above, this is rarely required or useful in practice.  The default behavior of the TPL is very good, often better than any hand written partitioning strategy.

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• Parallelism in .NET – Part 6, Declarative Data Parallelism

  - by Reed

  When working with a problem that can be decomposed by data, we have a collection, and some operation being performed upon the collection.  I’ve demonstrated how this can be parallelized using the Task Parallel Library and imperative programming using imperative data parallelism via the Parallel class.  While this provides a huge step forward in terms of power and capabilities, in many cases, special care must still be given for relative common scenarios. C# 3.0 and Visual Basic 9.0 introduced a new, declarative programming model to .NET via the LINQ Project.  When working with collections, we can now write software that describes what we want to occur without having to explicitly state how the program should accomplish the task.  By taking advantage of LINQ, many operations become much shorter, more elegant, and easier to understand and maintain.  Version 4.0 of the .NET framework extends this concept into the parallel computation space by introducing Parallel LINQ. Before we delve into PLINQ, let’s begin with a short discussion of LINQ.  LINQ, the extensions to the .NET Framework which implement language integrated query, set, and transform operations, is implemented in many flavors.  For our purposes, we are interested in LINQ to Objects.  When dealing with parallelizing a routine, we typically are dealing with in-memory data storage.  More data-access oriented LINQ variants, such as LINQ to SQL and LINQ to Entities in the Entity Framework fall outside of our concern, since the parallelism there is the concern of the data base engine processing the query itself. LINQ (LINQ to Objects in particular) works by implementing a series of extension methods, most of which work on IEnumerable<T>.  The language enhancements use these extension methods to create a very concise, readable alternative to using traditional foreach statement.  For example, let’s revisit our minimum aggregation routine we wrote in Part 4: double min = double.MaxValue; foreach(var item in collection) { double value = item.PerformComputation(); min = System.Math.Min(min, value); } .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; } Here, we’re doing a very simple computation, but writing this in an imperative style.  This can be loosely translated to English as: Create a very large number, and save it in min Loop through each item in the collection. For every item: Perform some computation, and save the result If the computation is less than min, set min to the computation Although this is fairly easy to follow, it’s quite a few lines of code, and it requires us to read through the code, step by step, line by line, in order to understand the intention of the developer. We can rework this same statement, using LINQ: double min = collection.Min(item => item.PerformComputation()); Here, we’re after the same information.  However, this is written using a declarative programming style.  When we see this code, we’d naturally translate this to English as: Save the Min value of collection, determined via calling item.PerformComputation() That’s it – instead of multiple logical steps, we have one single, declarative request.  This makes the developer’s intentions very clear, and very easy to follow.  The system is free to implement this using whatever method required. Parallel LINQ (PLINQ) extends LINQ to Objects to support parallel operations.  This is a perfect fit in many cases when you have a problem that can be decomposed by data.  To show this, let’s again refer to our minimum aggregation routine from Part 4, but this time, let’s review our final, parallelized version: // Safe, and fast! double min = double.MaxValue; // Make a "lock" object object syncObject = new object(); Parallel.ForEach( collection, // First, we provide a local state initialization delegate. () => double.MaxValue, // Next, we supply the body, which takes the original item, loop state, // and local state, and returns a new local state (item, loopState, localState) => { double value = item.PerformComputation(); return System.Math.Min(localState, value); }, // Finally, we provide an Action<TLocal>, to "merge" results together localState => { // This requires locking, but it's only once per used thread lock(syncObj) min = System.Math.Min(min, localState); } ); Here, we’re doing the same computation as above, but fully parallelized.  Describing this in English becomes quite a feat: Create a very large number, and save it in min Create a temporary object we can use for locking Call Parallel.ForEach, specifying three delegates For the first delegate: Initialize a local variable to hold the local state to a very large number For the second delegate: For each item in the collection, perform some computation, save the result If the result is less than our local state, save the result in local state For the final delegate: Take a lock on our temporary object to protect our min variable Save the min of our min and local state variables Although this solves our problem, and does it in a very efficient way, we’ve created a set of code that is quite a bit more difficult to understand and maintain. PLINQ provides us with a very nice alternative.  In order to use PLINQ, we need to learn one new extension method that works on IEnumerable<T> – ParallelEnumerable.AsParallel(). That’s all we need to learn in order to use PLINQ: one single method.  We can write our minimum aggregation in PLINQ very simply: double min = collection.AsParallel().Min(item => item.PerformComputation()); By simply adding “.AsParallel()” to our LINQ to Objects query, we converted this to using PLINQ and running this computation in parallel!  This can be loosely translated into English easily, as well: Process the collection in parallel Get the Minimum value, determined by calling PerformComputation on each item Here, our intention is very clear and easy to understand.  We just want to perform the same operation we did in serial, but run it “as parallel”.  PLINQ completely extends LINQ to Objects: the entire functionality of LINQ to Objects is available.  By simply adding a call to AsParallel(), we can specify that a collection should be processed in parallel.  This is simple, safe, and incredibly useful.

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• Bye Bye Year of the Dragon, Hello BPM

  - by Ajay Khanna

  Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} As 2012 fades and we usher in a New Year, let’s look back at some of the hottest BPM trends and those we’ll be seeing more of in the coming months. BPM is as much about people as it is about technology. As people adopt new ways of engagement, new channels of communications and new devices to interact , the changes are reflected in BPM practices. As Social and Mobile have become an integral part of our personal and professional lives, we’ll see tighter integration of social and mobile with BPM, and more use cases emerging for smarter process management in 2013. And with products and services becoming less differentiated, organizations will strive to differentiate on Customer Experience. Concepts like Pace Layered Architecture and Dynamic Case Management will provide more flexibility and agility to IT groups and knowledge workers. Take a look at some of these capabilities we showcased (see video) at Oracle OpenWorld 2012. Some of these trends that will continue to gain momentum in 2013: Social networks and social media have provided a new way for businesses to engage with customers. A prospect is likely to reach out to their social network before making any purchase. Companies are increasingly engaging with customers in social networks to influence their purchasing decisions, as well as listening to customers via tools like sentiment analysis to see what customers think about a particular product or process. These insights are valuable as companies look to improve their processes. Inside organizations, workers are using social tools to engage with each other to design new products and processes. Social collaboration tools are being used to resolve issues where an employee needs consultation to reach a decision. Oracle BPM Suite includes social interaction as an integral part of its process design and work management to empower today’s business users. Ubiquitous smart mobile devices are trending as a tool of choice for many workers. Many companies are adopting the policy of “Bring Your Own Device,” and the device of choice is a tablet. Devices like smart phones and tablets not only provide mobility to workers and customers, but they also provide additional important information – the context. By integrating the mobile context (location, photos, and preferences) into your processes, organizations can make much more informed decisions, as well as offer more personalized service to customers. Using Oracle ADF Mobile, you can easily create user interfaces for mobile devices and also capture location data for process execution. Customer experience was at the forefront of trending topics in 2012. Organizations are trying to understand their customers better and offer them more personalized and differentiated services. Customer experience is paramount when companies design sales and support processes. Companies are looking to BPM to consistently and efficiently orchestrate customer facing processes across disparate systems, departments and channels of communication. Oracle BPM Suite provides just the right capabilities for organizations to design and deliver an excellent customer experience. Pace Layered Architecture strategy is gaining traction as a way to maximize agility and minimize disruption in organizations. It provides a framework to manage the evolution of your information system when different pieces of it are changing at different rates and need to be updated independent of one another. Oracle Fusion Middleware and Oracle BPM Suite are designed with this in mind. The database layer, integration layer, application layer, and process layer should not be required to change at the same time. Most of the business changes to policy or process can be done at the process layer without disrupting the whole infrastructure. By understanding the type of change needed at a particular level, organizations can become much more agile and efficient. Adaptive Case Management proposes more flexibility to manage processes or cases that do not follow a structured process flow. In such situations, the knowledge worker managing the case needs to evaluate what step should occur next because the sequence of steps can’t be predetermined. Another characteristic is that it requires much more collaboration than straight-through process. As simple processes become automated, and customers adopt more and more self-service, cases that reach the case workers are much more complex and need more investigation. Oracle BPM suite includes comprehensive adaptive case management capability to manage such unstructured and complex processes. Smart BPM or making your BPM intelligent has been the holy grail for BPM practitioners who imagined that one day BPM would become one with Business Intelligence, Business Activity Monitoring and Complex Event Processing, making it much more responsive and helpful in organizational decision making. In 2013, organizations will begin to deploy these intelligent BPM solutions. Oracle offers an integrated solution that brings together the powerful functionality of BI, BAM, event processing, and Real Time Decisions to help organizations create smart process based solutions. In order to help customers reach their BPM goals faster and remove risks associated with BPM initiatives, Oracle has introduced Oracle Process Accelerators, pre-built best practices applications built on Oracle BPM Suite that are fully production grade and ready to deploy. These are exiting times for BPM practitioners and there is so much to look forward to in 2013. We wish you a very happy and prosperous New Year 2013. Happy BPMing!

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• SSIS Lookup component tuning tips

  - by jamiet

  Yesterday evening I attended a London meeting of the UK SQL Server User Group at Microsoft’s offices in London Victoria. As usual it was both a fun and informative evening and in particular there seemed to be a few questions arising about tuning the SSIS Lookup component; I rattled off some comments and figured it would be prudent to drop some of them into a dedicated blog post, hence the one you are reading right now. Scene setting A popular pattern in SSIS is to use a Lookup component to determine whether a record in the pipeline already exists in the intended destination table or not and I cover this pattern in my 2006 blog post Checking if a row exists and if it does, has it changed? (note to self: must rewrite that blog post for SSIS2008). Fundamentally the SSIS lookup component (when using FullCache option) sucks some data out of a database and holds it in memory so that it can be compared to data in the pipeline. One of the big benefits of using SSIS dataflows is that they process data one buffer at a time; that means that not all of the data from your source exists in the dataflow at the same time and is why a SSIS dataflow can process data volumes that far exceed the available memory. However, that only applies to data in the pipeline; for reasons that are hopefully obvious ALL of the data in the lookup set must exist in the memory cache for the duration of the dataflow’s execution which means that any memory used by the lookup cache will not be available to be used as a pipeline buffer. Moreover, there’s an obvious correlation between the amount of data in the lookup cache and the time it takes to charge that cache; the more data you have then the longer it will take to charge and the longer you have to wait until the dataflow actually starts to do anything. For these reasons your goal is simple: ensure that the lookup cache contains as little data as possible. General tips Here is a simple tick list you can follow in order to tune your lookups: Use a SQL statement to charge your cache, don’t just pick a table from the dropdown list made available to you. (Read why in SELECT *... or select from a dropdown in an OLE DB Source component?) Only pick the columns that you need, ignore everything else Make the database columns that your cache is populated from as narrow as possible. If a column is defined as VARCHAR(20) then SSIS will allocate 20 bytes for every value in that column – that is a big waste if the actual values are significantly less than 20 characters in length. Do you need DT_WSTR typed columns or will DT_STR suffice? DT_WSTR uses twice the amount of space to hold values that can be stored using a DT_STR so if you can use DT_STR, consider doing so. Same principle goes for the numerical datatypes DT_I2/DT_I4/DT_I8. Only populate the cache with data that you KNOW you will need. In other words, think about your WHERE clause! Thinking outside the box It is tempting to build a large monolithic dataflow that does many things, one of which is a Lookup. Often though you can make better use of your available resources by, well, mixing things up a little and here are a few ideas to get your creative juices flowing: There is no rule that says everything has to happen in a single dataflow. If you have some particularly resource intensive lookups then consider putting that lookup into a dataflow all of its own and using raw files to pass the pipeline data in and out of that dataflow. Know your data. If you think, for example, that the majority of your incoming rows will match with only a small subset of your lookup data then consider chaining multiple lookup components together; the first would use a FullCache containing that data subset and the remaining data that doesn’t find a match could be passed to a second lookup that perhaps uses a NoCache lookup thus negating the need to pull all of that least-used lookup data into memory. Do you need to process all of your incoming data all at once? If you can process different partitions of your data separately then you can partition your lookup cache as well. For example, if you are using a lookup to convert a location into a [LocationId] then why not process your data one region at a time? This will mean your lookup cache only has to contain data for the location that you are currently processing and with the ability of the Lookup in SSIS2008 and beyond to charge the cache using a dynamically built SQL statement you’ll be able to achieve it using the same dataflow and simply loop over it using a ForEach loop. Taking the previous data partitioning idea further … a dataflow can contain more than one data path so why not split your data using a conditional split component and, again, charge your lookup caches with only the data that they need for that partition. Lookups have two uses: to (1) find a matching row from the lookup set and (2) put attributes from that matching row into the pipeline. Ask yourself, do you need to do these two things at the same time? After all once you have the key column(s) from your lookup set then you can use that key to get the rest of attributes further downstream, perhaps even in another dataflow. Are you using the same lookup data set multiple times? If so, consider the file caching option in SSIS 2008 and beyond. Above all, experiment and be creative with different combinations. You may be surprised at what works. Final  thoughts If you want to know more about how the Lookup component differs in SSIS2008 from SSIS2005 then I have a dedicated blog post about that at Lookup component gets a makeover. I am on a mini-crusade at the moment to get a BULK MERGE feature into the database engine, the thinking being that if the database engine can quickly merge massive amounts of data in a similar manner to how it can insert massive amounts using BULK INSERT then that’s a lot of work that wouldn’t have to be done in the SSIS pipeline. If you think that is a good idea then go and vote for BULK MERGE on Connect. If you have any other tips to share then please stick them in the comments. Hope this helps! @Jamiet Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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