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  • Frequent Disconnects ubuntu desktop 12.10 x64 intel 82579V e1000e

    - by user112055
    I'm having frequent disconnects with my new install of Ubuntu 12.10. I tried updating the kernel driver to the latest intel release to no avail. My expertise is spent. It happens anywhere between 1 min and 10 min. Any ideas? syslog: Dec 1 13:51:39 andromeda kernel: [ 972.188809] audit_printk_skb: 6 callbacks suppressed Dec 1 13:51:39 andromeda kernel: [ 972.188813] type=1701 audit(1354398699.418:199): auid=4294967295 uid=1000 gid=1000 ses=4294967295 pid=6039 comm="chrome" reason="seccomp" sig=0 syscall=4 compat=0 ip=0x7f26777d9205 code=0x50000 Dec 1 13:51:39 andromeda kernel: [ 972.188817] type=1701 audit(1354398699.418:200): auid=4294967295 uid=1000 gid=1000 ses=4294967295 pid=6039 comm="chrome" reason="seccomp" sig=0 syscall=4 compat=0 ip=0x7f26777d9205 code=0x50000 Dec 1 13:51:39 andromeda kernel: [ 972.188820] type=1701 audit(1354398699.418:201): auid=4294967295 uid=1000 gid=1000 ses=4294967295 pid=6039 comm="chrome" reason="seccomp" sig=0 syscall=4 compat=0 ip=0x7f26777d9205 code=0x50000 Dec 1 13:51:39 andromeda kernel: [ 972.188823] type=1701 audit(1354398699.418:202): auid=4294967295 uid=1000 gid=1000 ses=4294967295 pid=6039 comm="chrome" reason="seccomp" sig=0 syscall=4 compat=0 ip=0x7f26777d9205 code=0x50000 Dec 1 13:51:39 andromeda kernel: [ 972.188825] type=1701 audit(1354398699.418:203): auid=4294967295 uid=1000 gid=1000 ses=4294967295 pid=6039 comm="chrome" reason="seccomp" sig=0 syscall=4 compat=0 ip=0x7f26777d9205 code=0x50000 Dec 1 13:51:39 andromeda kernel: [ 972.331419] type=1701 audit(1354398699.558:204): auid=4294967295 uid=1000 gid=1000 ses=4294967295 pid=6039 comm="chrome" reason="seccomp" sig=0 syscall=2 compat=0 ip=0x7f26777d96b0 code=0x50000 Dec 1 13:53:12 andromeda NetworkManager[1115]: <info> (eth0): carrier now OFF (device state 100, deferring action for 4 seconds) Dec 1 13:53:12 andromeda kernel: [ 1064.894387] e1000e: e1000e: eth0 NIC Link is Down Dec 1 13:53:16 andromeda NetworkManager[1115]: <info> (eth0): device state change: activated -> unavailable (reason 'carrier-changed') [100 20 40] Dec 1 13:53:16 andromeda NetworkManager[1115]: <info> (eth0): deactivating device (reason 'carrier-changed') [40] Dec 1 13:53:16 andromeda NetworkManager[1115]: <info> (eth0): canceled DHCP transaction, DHCP client pid 5946 Dec 1 13:53:16 andromeda avahi-daemon[890]: Withdrawing address record for fe80::ea40:f2ff:fee2:4d86 on eth0. Dec 1 13:53:16 andromeda avahi-daemon[890]: Leaving mDNS multicast group on interface eth0.IPv6 with address fe80::ea40:f2ff:fee2:4d86. Dec 1 13:53:16 andromeda avahi-daemon[890]: Interface eth0.IPv6 no longer relevant for mDNS. Dec 1 13:53:16 andromeda kernel: [ 1069.025288] IPv6: ADDRCONF(NETDEV_UP): eth0: link is not ready Dec 1 13:53:16 andromeda avahi-daemon[890]: Withdrawing address record for 192.168.11.17 on eth0. Dec 1 13:53:16 andromeda avahi-daemon[890]: Leaving mDNS multicast group on interface eth0.IPv4 with address 192.168.11.17. Dec 1 13:53:16 andromeda avahi-daemon[890]: Interface eth0.IPv4 no longer relevant for mDNS. Dec 1 13:53:16 andromeda NetworkManager[1115]: <warn> DNS: plugin dnsmasq update failed Dec 1 13:53:16 andromeda NetworkManager[1115]: <info> ((null)): removing resolv.conf from /sbin/resolvconf Dec 1 13:53:16 andromeda dnsmasq[1907]: setting upstream servers from DBus Dec 1 13:53:16 andromeda dbus[800]: [system] Activating service name='org.freedesktop.nm_dispatcher' (using servicehelper) Dec 1 13:53:16 andromeda dbus[800]: [system] Successfully activated service 'org.freedesktop.nm_dispatcher' Dec 1 13:53:32 andromeda NetworkManager[1115]: <info> (eth0): carrier now ON (device state 20) Dec 1 13:53:32 andromeda NetworkManager[1115]: <info> (eth0): device state change: unavailable -> disconnected (reason 'carrier-changed') [20 30 40] Dec 1 13:53:32 andromeda NetworkManager[1115]: <info> Auto-activating connection '82579V'. Dec 1 13:53:32 andromeda NetworkManager[1115]: <info> Activation (eth0) starting connection '82579V' Dec 1 13:53:32 andromeda NetworkManager[1115]: <info> (eth0): device state change: disconnected -> prepare (reason 'none') [30 40 0] Dec 1 13:53:32 andromeda NetworkManager[1115]: <info> Activation (eth0) Stage 1 of 5 (Device Prepare) scheduled... Dec 1 13:53:32 andromeda NetworkManager[1115]: <info> Activation (eth0) Stage 1 of 5 (Device Prepare) started... Dec 1 13:53:32 andromeda NetworkManager[1115]: <info> Activation (eth0) Stage 2 of 5 (Device Configure) scheduled... Dec 1 13:53:32 andromeda NetworkManager[1115]: <info> Activation (eth0) Stage 1 of 5 (Device Prepare) complete. Dec 1 13:53:32 andromeda NetworkManager[1115]: <info> Activation (eth0) Stage 2 of 5 (Device Configure) starting... Dec 1 13:53:32 andromeda NetworkManager[1115]: <info> (eth0): device state change: prepare -> config (reason 'none') [40 50 0] Dec 1 13:53:32 andromeda NetworkManager[1115]: <info> Activation (eth0) Stage 2 of 5 (Device Configure) successful. Dec 1 13:53:32 andromeda NetworkManager[1115]: <info> Activation (eth0) Stage 3 of 5 (IP Configure Start) scheduled. Dec 1 13:53:32 andromeda NetworkManager[1115]: <info> Activation (eth0) Stage 2 of 5 (Device Configure) complete. Dec 1 13:53:32 andromeda NetworkManager[1115]: <info> Activation (eth0) Stage 3 of 5 (IP Configure Start) started... Dec 1 13:53:32 andromeda NetworkManager[1115]: <info> (eth0): device state change: config -> ip-config (reason 'none') [50 70 0] Dec 1 13:53:32 andromeda NetworkManager[1115]: <info> Activation (eth0) Beginning DHCPv4 transaction (timeout in 45 seconds) Dec 1 13:53:32 andromeda kernel: [ 1084.938042] e1000e: e1000e: eth0 NIC Link is Up 100 Mbps Full Duplex, Flow Control: Rx/Tx Dec 1 13:53:32 andromeda kernel: [ 1084.938049] e1000e 0000:00:19.0: eth0: 10/100 speed: disabling TSO Dec 1 13:53:32 andromeda kernel: [ 1084.938815] IPv6: ADDRCONF(NETDEV_CHANGE): eth0: link becomes ready Dec 1 13:53:32 andromeda NetworkManager[1115]: <info> dhclient started with pid 6080 Dec 1 13:53:32 andromeda NetworkManager[1115]: <info> Activation (eth0) Stage 3 of 5 (IP Configure Start) complete. Dec 1 13:53:32 andromeda dhclient: Internet Systems Consortium DHCP Client 4.2.4 Dec 1 13:53:32 andromeda dhclient: Copyright 2004-2012 Internet Systems Consortium. Dec 1 13:53:32 andromeda dhclient: All rights reserved. Dec 1 13:53:32 andromeda dhclient: For info, please visit https://www.isc.org/software/dhcp/ Dec 1 13:53:32 andromeda dhclient: Dec 1 13:53:32 andromeda NetworkManager[1115]: <info> (eth0): DHCPv4 state changed nbi -> preinit Dec 1 13:53:32 andromeda dhclient: Listening on LPF/eth0/e8:40:f2:e2:4d:86 Dec 1 13:53:32 andromeda dhclient: Sending on LPF/eth0/e8:40:f2:e2:4d:86 Dec 1 13:53:32 andromeda dhclient: Sending on Socket/fallback Dec 1 13:53:32 andromeda dhclient: DHCPREQUEST of 192.168.11.17 on eth0 to 255.255.255.255 port 67 Dec 1 13:53:32 andromeda dhclient: DHCPACK of 192.168.11.17 from 192.168.11.1 Dec 1 13:53:32 andromeda dhclient: bound to 192.168.11.17 -- renewal in 33576 seconds. Dec 1 13:53:32 andromeda NetworkManager[1115]: <info> (eth0): DHCPv4 state changed preinit -> reboot Dec 1 13:53:32 andromeda NetworkManager[1115]: <info> address 192.168.11.17 Dec 1 13:53:32 andromeda NetworkManager[1115]: <info> prefix 24 (255.255.255.0) Dec 1 13:53:32 andromeda NetworkManager[1115]: <info> gateway 192.168.11.1 Dec 1 13:53:32 andromeda NetworkManager[1115]: <info> hostname 'andromeda' Dec 1 13:53:32 andromeda NetworkManager[1115]: <info> nameserver '192.168.11.1' Dec 1 13:53:32 andromeda NetworkManager[1115]: <info> domain name 'hsd1.ca.comcast.net' Dec 1 13:53:32 andromeda NetworkManager[1115]: <info> Activation (eth0) Stage 5 of 5 (IPv4 Configure Commit) scheduled... Dec 1 13:53:32 andromeda NetworkManager[1115]: <info> Activation (eth0) Stage 5 of 5 (IPv4 Commit) started... Dec 1 13:53:32 andromeda avahi-daemon[890]: Joining mDNS multicast group on interface eth0.IPv4 with address 192.168.11.17. Dec 1 13:53:32 andromeda avahi-daemon[890]: New relevant interface eth0.IPv4 for mDNS. Dec 1 13:53:32 andromeda avahi-daemon[890]: Registering new address record for 192.168.11.17 on eth0.IPv4. Dec 1 13:53:33 andromeda NetworkManager[1115]: <info> (eth0): device state change: ip-config -> activated (reason 'none') [70 100 0] Dec 1 13:53:33 andromeda NetworkManager[1115]: <info> ((null)): writing resolv.conf to /sbin/resolvconf Dec 1 13:53:33 andromeda dnsmasq[1907]: setting upstream servers from DBus Dec 1 13:53:33 andromeda dnsmasq[1907]: using nameserver 192.168.11.1#53 Dec 1 13:53:33 andromeda NetworkManager[1115]: <info> Policy set '82579V' (eth0) as default for IPv4 routing and DNS. Dec 1 13:53:33 andromeda NetworkManager[1115]: <info> Activation (eth0) successful, device activated. Dec 1 13:53:33 andromeda NetworkManager[1115]: <info> Activation (eth0) Stage 5 of 5 (IPv4 Commit) complete. Dec 1 13:53:33 andromeda dbus[800]: [system] Activating service name='org.freedesktop.nm_dispatcher' (using servicehelper) Dec 1 13:53:33 andromeda dbus[800]: [system] Successfully activated service 'org.freedesktop.nm_dispatcher' Dec 1 13:53:33 andromeda avahi-daemon[890]: Joining mDNS multicast group on interface eth0.IPv6 with address fe80::ea40:f2ff:fee2:4d86. Dec 1 13:53:33 andromeda avahi-daemon[890]: New relevant interface eth0.IPv6 for mDNS. Dec 1 13:53:33 andromeda avahi-daemon[890]: Registering new address record for fe80::ea40:f2ff:fee2:4d86 on eth0.*. Dec 1 13:53:41 andromeda ntpdate[6154]: adjust time server 91.189.94.4 offset 0.000928 sec Dec 1 13:53:50 andromeda NetworkManager[1115]: <info> (eth0): carrier now OFF (device state 100, deferring action for 4 seconds) Dec 1 13:53:50 andromeda kernel: [ 1102.980003] e1000e: e1000e: eth0 NIC Link is Down Dec 1 13:53:54 andromeda NetworkManager[1115]: <info> (eth0): device state change: activated -> unavailable (reason 'carrier-changed') [100 20 40] Dec 1 13:53:54 andromeda NetworkManager[1115]: <info> (eth0): deactivating device (reason 'carrier-changed') [40] Dec 1 13:53:54 andromeda NetworkManager[1115]: <info> (eth0): canceled DHCP transaction, DHCP client pid 6080 Dec 1 13:53:54 andromeda avahi-daemon[890]: Withdrawing address record for fe80::ea40:f2ff:fee2:4d86 on eth0. Dec 1 13:53:54 andromeda avahi-daemon[890]: Leaving mDNS multicast group on interface eth0.IPv6 with address fe80::ea40:f2ff:fee2:4d86. Dec 1 13:53:54 andromeda avahi-daemon[890]: Interface eth0.IPv6 no longer relevant for mDNS. Dec 1 13:53:54 andromeda avahi-daemon[890]: Withdrawing address record for 192.168.11.17 on eth0. Dec 1 13:53:54 andromeda avahi-daemon[890]: Leaving mDNS multicast group on interface eth0.IPv4 with address 192.168.11.17. Dec 1 13:53:54 andromeda kernel: [ 1107.025959] IPv6: ADDRCONF(NETDEV_UP): eth0: link is not ready Dec 1 13:53:54 andromeda NetworkManager[1115]: <warn> DNS: plugin dnsmasq update failed Dec 1 13:53:54 andromeda NetworkManager[1115]: <info> ((null)): removing resolv.conf from /sbin/resolvconf Dec 1 13:53:54 andromeda avahi-daemon[890]: Interface eth0.IPv4 no longer relevant for mDNS. Dec 1 13:53:54 andromeda dnsmasq[1907]: setting upstream servers from DBus Dec 1 13:53:54 andromeda dbus[800]: [system] Activating service name='org.freedesktop.nm_dispatcher' (using servicehelper) Dec 1 13:53:54 andromeda dbus[800]: [system] Successfully activated service 'org.freedesktop.nm_dispatcher' Dec 1 13:54:10 andromeda NetworkManager[1115]: <info> (eth0): carrier now ON (device state 20) Dec 1 13:54:10 andromeda NetworkManager[1115]: <info> (eth0): device state change: unavailable -> disconnected (reason 'carrier-changed') [20 30 40] Dec 1 13:54:10 andromeda NetworkManager[1115]: <info> Auto-activating connection '82579V'. Dec 1 13:54:10 andromeda NetworkManager[1115]: <info> Activation (eth0) starting connection '82579V' Dec 1 13:54:10 andromeda NetworkManager[1115]: <info> (eth0): device state change: disconnected -> prepare (reason 'none') [30 40 0] Dec 1 13:54:10 andromeda NetworkManager[1115]: <info> Activation (eth0) Stage 1 of 5 (Device Prepare) scheduled... Dec 1 13:54:10 andromeda NetworkManager[1115]: <info> Activation (eth0) Stage 1 of 5 (Device Prepare) started... Dec 1 13:54:10 andromeda NetworkManager[1115]: <info> Activation (eth0) Stage 2 of 5 (Device Configure) scheduled... Dec 1 13:54:10 andromeda NetworkManager[1115]: <info> Activation (eth0) Stage 1 of 5 (Device Prepare) complete. Dec 1 13:54:10 andromeda NetworkManager[1115]: <info> Activation (eth0) Stage 2 of 5 (Device Configure) starting... Dec 1 13:54:10 andromeda NetworkManager[1115]: <info> (eth0): device state change: prepare -> config (reason 'none') [40 50 0] Dec 1 13:54:10 andromeda NetworkManager[1115]: <info> Activation (eth0) Stage 2 of 5 (Device Configure) successful. Dec 1 13:54:10 andromeda kernel: [ 1123.167668] e1000e: e1000e: eth0 NIC Link is Up 100 Mbps Full Duplex, Flow Control: Rx/Tx Dec 1 13:54:10 andromeda kernel: [ 1123.167675] e1000e 0000:00:19.0: eth0: 10/100 speed: disabling TSO Dec 1 13:54:10 andromeda kernel: [ 1123.168430] IPv6: ADDRCONF(NETDEV_CHANGE): eth0: link becomes ready Dec 1 13:54:10 andromeda NetworkManager[1115]: <info> Activation (eth0) Stage 3 of 5 (IP Configure Start) scheduled. Dec 1 13:54:10 andromeda NetworkManager[1115]: <info> Activation (eth0) Stage 2 of 5 (Device Configure) complete. Dec 1 13:54:10 andromeda NetworkManager[1115]: <info> Activation (eth0) Stage 3 of 5 (IP Configure Start) started... Dec 1 13:54:10 andromeda NetworkManager[1115]: <info> (eth0): device state change: config -> ip-config (reason 'none') [50 70 0] Dec 1 13:54:10 andromeda NetworkManager[1115]: <info> Activation (eth0) Beginning DHCPv4 transaction (timeout in 45 seconds) Dec 1 13:54:10 andromeda NetworkManager[1115]: <info> dhclient started with pid 6212 Dec 1 13:54:10 andromeda NetworkManager[1115]: <info> Activation (eth0) Stage 3 of 5 (IP Configure Start) complete. Dec 1 13:54:10 andromeda dhclient: Internet Systems Consortium DHCP Client 4.2.4 Dec 1 13:54:10 andromeda dhclient: Copyright 2004-2012 Internet Systems Consortium. Dec 1 13:54:10 andromeda dhclient: All rights reserved. Dec 1 13:54:10 andromeda dhclient: For info, please visit https://www.isc.org/software/dhcp/ Dec 1 13:54:10 andromeda dhclient: Dec 1 13:54:10 andromeda NetworkManager[1115]: <info> (eth0): DHCPv4 state changed nbi -> preinit Dec 1 13:54:10 andromeda dhclient: Listening on LPF/eth0/e8:40:f2:e2:4d:86 Dec 1 13:54:10 andromeda dhclient: Sending on LPF/eth0/e8:40:f2:e2:4d:86 Dec 1 13:54:10 andromeda dhclient: Sending on Socket/fallback Dec 1 13:54:10 andromeda dhclient: DHCPREQUEST of 192.168.11.17 on eth0 to 255.255.255.255 port 67 Dec 1 13:54:10 andromeda dhclient: DHCPACK of 192.168.11.17 from 192.168.11.1 Dec 1 13:54:10 andromeda NetworkManager[1115]: <info> (eth0): DHCPv4 state changed preinit -> reboot Dec 1 13:54:10 andromeda NetworkManager[1115]: <info> address 192.168.11.17 Dec 1 13:54:10 andromeda NetworkManager[1115]: <info> prefix 24 (255.255.255.0) Dec 1 13:54:10 andromeda NetworkManager[1115]: <info> gateway 192.168.11.1 Dec 1 13:54:10 andromeda NetworkManager[1115]: <info> hostname 'andromeda' Dec 1 13:54:10 andromeda NetworkManager[1115]: <info> nameserver '192.168.11.1' Dec 1 13:54:10 andromeda NetworkManager[1115]: <info> domain name 'hsd1.ca.comcast.net' Dec 1 13:54:10 andromeda NetworkManager[1115]: <info> Activation (eth0) Stage 5 of 5 (IPv4 Configure Commit) scheduled... Dec 1 13:54:10 andromeda NetworkManager[1115]: <info> Activation (eth0) Stage 5 of 5 (IPv4 Commit) started... Dec 1 13:54:10 andromeda avahi-daemon[890]: Joining mDNS multicast group on interface eth0.IPv4 with address 192.168.11.17. Dec 1 13:54:10 andromeda dhclient: bound to 192.168.11.17 -- renewal in 35416 seconds. Dec 1 13:54:10 andromeda avahi-daemon[890]: New relevant interface eth0.IPv4 for mDNS. Dec 1 13:54:10 andromeda avahi-daemon[890]: Registering new address record for 192.168.11.17 on eth0.IPv4. Dec 1 13:54:11 andromeda NetworkManager[1115]: <info> (eth0): device state change: ip-config -> activated (reason 'none') [70 100 0] Dec 1 13:54:11 andromeda NetworkManager[1115]: <info> ((null)): writing resolv.conf to /sbin/resolvconf Dec 1 13:54:11 andromeda dnsmasq[1907]: setting upstream servers from DBus Dec 1 13:54:11 andromeda dnsmasq[1907]: using nameserver 192.168.11.1#53 Dec 1 13:54:11 andromeda NetworkManager[1115]: <info> Policy set '82579V' (eth0) as default for IPv4 routing and DNS. Dec 1 13:54:11 andromeda NetworkManager[1115]: <info> Activation (eth0) successful, device activated. Dec 1 13:54:11 andromeda NetworkManager[1115]: <info> Activation (eth0) Stage 5 of 5 (IPv4 Commit) complete. Dec 1 13:54:11 andromeda dbus[800]: [system] Activating service name='org.freedesktop.nm_dispatcher' (using servicehelper) Dec 1 13:54:11 andromeda dbus[800]: [system] Successfully activated service 'org.freedesktop.nm_dispatcher' Dec 1 13:54:12 andromeda avahi-daemon[890]: Joining mDNS multicast group on interface eth0.IPv6 with address fe80::ea40:f2ff:fee2:4d86. Dec 1 13:54:12 andromeda avahi-daemon[890]: New relevant interface eth0.IPv6 for mDNS. Dec 1 13:54:12 andromeda avahi-daemon[890]: Registering new address record for fe80::ea40:f2ff:fee2:4d86 on eth0.*. Dec 1 13:54:19 andromeda ntpdate[6286]: adjust time server 91.189.94.4 offset 0.001142 sec $ lspci -v 00:19.0 Ethernet controller: Intel Corporation 82579V Gigabit Network Connection (rev 04) Subsystem: Intel Corporation Device 2031 Flags: bus master, fast devsel, latency 0, IRQ 45 Memory at f7f00000 (32-bit, non-prefetchable) [size=128K] Memory at f7f39000 (32-bit, non-prefetchable) [size=4K] I/O ports at f040 [size=32] Capabilities: [c8] Power Management version 2 Capabilities: [d0] MSI: Enable+ Count=1/1 Maskable- 64bit+ Capabilities: [e0] PCI Advanced Features Kernel driver in use: e1000e Kernel modules: e1000e $ modinfo e1000e filename: /lib/modules/3.5.0-19-generic/kernel/drivers/net/e1000e/e1000e.ko version: 2.1.4-NAPI license: GPL description: Intel(R) PRO/1000 Network Driver author: Intel Corporation, <[email protected]> srcversion: 0809529BE0BBC44883956AF alias: pci:v00008086d0000153Bsv*sd*bc*sc*i* alias: pci:v00008086d0000153Asv*sd*bc*sc*i* alias: pci:v00008086d00001503sv*sd*bc*sc*i* alias: pci:v00008086d00001502sv*sd*bc*sc*i* alias: pci:v00008086d000010F0sv*sd*bc*sc*i* alias: pci:v00008086d000010EFsv*sd*bc*sc*i* alias: pci:v00008086d000010EBsv*sd*bc*sc*i* alias: pci:v00008086d000010EAsv*sd*bc*sc*i* alias: pci:v00008086d00001525sv*sd*bc*sc*i* alias: pci:v00008086d000010DFsv*sd*bc*sc*i* alias: pci:v00008086d000010DEsv*sd*bc*sc*i* alias: pci:v00008086d000010CEsv*sd*bc*sc*i* alias: pci:v00008086d000010CDsv*sd*bc*sc*i* alias: pci:v00008086d000010CCsv*sd*bc*sc*i* alias: pci:v00008086d000010CBsv*sd*bc*sc*i* alias: pci:v00008086d000010F5sv*sd*bc*sc*i* alias: pci:v00008086d000010BFsv*sd*bc*sc*i* alias: pci:v00008086d000010E5sv*sd*bc*sc*i* alias: pci:v00008086d0000294Csv*sd*bc*sc*i* alias: pci:v00008086d000010BDsv*sd*bc*sc*i* alias: pci:v00008086d000010C3sv*sd*bc*sc*i* alias: pci:v00008086d000010C2sv*sd*bc*sc*i* alias: pci:v00008086d000010C0sv*sd*bc*sc*i* alias: pci:v00008086d00001501sv*sd*bc*sc*i* alias: pci:v00008086d00001049sv*sd*bc*sc*i* alias: pci:v00008086d0000104Dsv*sd*bc*sc*i* alias: pci:v00008086d0000104Bsv*sd*bc*sc*i* alias: pci:v00008086d0000104Asv*sd*bc*sc*i* alias: pci:v00008086d000010C4sv*sd*bc*sc*i* alias: pci:v00008086d000010C5sv*sd*bc*sc*i* alias: pci:v00008086d0000104Csv*sd*bc*sc*i* alias: pci:v00008086d000010BBsv*sd*bc*sc*i* alias: pci:v00008086d00001098sv*sd*bc*sc*i* alias: pci:v00008086d000010BAsv*sd*bc*sc*i* alias: pci:v00008086d00001096sv*sd*bc*sc*i* alias: pci:v00008086d0000150Csv*sd*bc*sc*i* alias: pci:v00008086d000010F6sv*sd*bc*sc*i* alias: pci:v00008086d000010D3sv*sd*bc*sc*i* alias: pci:v00008086d0000109Asv*sd*bc*sc*i* alias: pci:v00008086d0000108Csv*sd*bc*sc*i* alias: pci:v00008086d0000108Bsv*sd*bc*sc*i* alias: pci:v00008086d0000107Fsv*sd*bc*sc*i* alias: pci:v00008086d0000107Esv*sd*bc*sc*i* alias: pci:v00008086d0000107Dsv*sd*bc*sc*i* alias: pci:v00008086d000010B9sv*sd*bc*sc*i* alias: pci:v00008086d000010D5sv*sd*bc*sc*i* alias: pci:v00008086d000010DAsv*sd*bc*sc*i* alias: pci:v00008086d000010D9sv*sd*bc*sc*i* alias: pci:v00008086d00001060sv*sd*bc*sc*i* alias: pci:v00008086d000010A5sv*sd*bc*sc*i* alias: pci:v00008086d000010BCsv*sd*bc*sc*i* alias: pci:v00008086d000010A4sv*sd*bc*sc*i* alias: pci:v00008086d0000105Fsv*sd*bc*sc*i* alias: pci:v00008086d0000105Esv*sd*bc*sc*i* depends: vermagic: 3.5.0-19-generic SMP mod_unload modversions parm: copybreak:Maximum size of packet that is copied to a new buffer on receive (uint) parm: TxIntDelay:Transmit Interrupt Delay (array of int) parm: TxAbsIntDelay:Transmit Absolute Interrupt Delay (array of int) parm: RxIntDelay:Receive Interrupt Delay (array of int) parm: RxAbsIntDelay:Receive Absolute Interrupt Delay (array of int) parm: InterruptThrottleRate:Interrupt Throttling Rate (array of int) parm: IntMode:Interrupt Mode (array of int) parm: SmartPowerDownEnable:Enable PHY smart power down (array of int) parm: KumeranLockLoss:Enable Kumeran lock loss workaround (array of int) parm: CrcStripping:Enable CRC Stripping, disable if your BMC needs the CRC (array of int) parm: EEE:Enable/disable on parts that support the feature (array of int) parm: Node:[ROUTING] Node to allocate memory on, default -1 (array of int) parm: debug:Debug level (0=none,...,16=all) (int)

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  • Don’t miss the Receiving Webcast on November 20th

    - by user793553
    This one-hour session is recommended for technical and functional users who are interested to know about the Receiving transactions and its debugging techniques. TOPICS WILL INCLUDE: Using generic diagnostic scripts. How to read debug logs in receiving. Data flow for various document types (PO, RMA, ISO, IOT) to help debug issues Receiving Transaction processor Generic datafixes.  See DocID 1456150.1 to sign up now!

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  • log4j category

    - by Nuno Furtado
    I have the following on my log4j.properties log4j.rootLogger = debug, stdout, fileLog log4j.appender.stdout = org.apache.log4j.ConsoleAppender log4j.appender.fileLog = org.apache.log4j.RollingFileAppender log4j.appender.fileLog.File = C:/logs/services.log log4j.appender.fileLog.MaxFileSize = 256MB log4j.appender.fileLog.MaxBackupIndex = 32 #Category: ConsultaDados log4j.category.ConsultaDados=ConsultaDados log4j.appender.ConsultaDados=org.apache.log4j.DailyRollingFileAppender log4j.appender.ConsultaDados.layout=org.apache.log4j.PatternLayout log4j.appender.ConsultaDados.layout.ConversionPattern={%t} %d - [%p] %c: %m %n log4j.appender.ConsultaDados.file=C:/logs/consulta.log log4j.appender.ConsultaDados.DatePattern='.' yyyy-MM-dd-HH-mm And im creating my logger with : myLogger = Logger.getLogger("ConsultaDados"); But this doesnt log my calls to the file. they get thrown into the rootLogger Any ideas?

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  • javascript onkeypressed not giving current text box content

    - by Austin
    I have an html form like this: <form id="boxy" action="layout.html" method="get" accept-charset="utf-8"> <input type="text" id="a" onkeypress="Boxy.Check(this);"> </form> Invoking javascript like this: Boxy.Check = function() { input = document.getElementById(this.currentSelector.id).value; console.log("\"" + input + "\""); }; However, this.value is the previous value before onkeypress. For example, if I just type "A" into the form, console.log() prints "". And if I type "AA", console.log prints "A". Is there a way to get the current content of the input?

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  • Who Are the BI Users in Your Neighborhood?

    - by Brian Dayton
    Forrester's Boris Evelson recently wrote a blog titled "Who are the BI Personas?" that I enjoyed for a number of reasons. It's a quick read, easy to grasp and (refreshingly) focuses on the users of technology VS the technology. As Evelson admits, he meant to keep the reference chart at a high-level because there are too many different permutations and additional sub-categories to make such a chart useful. For me, I wouldn't head into the technical permutations but more the contextual use of BI and the issues that users experience.  My thoughts brought up more questions than answers such as: Context: -          HOW: With the exception of the "Power User" persona--likely some sort of business or operations analyst? -          WHEN: Are they using the information to make real-time decisions on the front lines (a customer service manager or shipping/logistics VP) or are they using this information for cumulative analysis and business planning? Or both? -          WHERE: What areas of the business are more or less likely to rely on BI across an organization? Human Resources, Operations, Facilities, Finance--- and why are some more prone to use data-driven analysis than others? Issues: -          DELAYS & DRAG ON IT?: One of the persona characteristics Evelson calls out is a reliance on IT. Every persona except for the "Power User" has a heavy reliance on IT for support. What business issues or delays does that cause to users? What is the drag on IT resources who could potentially be creating instead of reporting? -          HOW MANY CLICKS: If BI is being used within the context of a transaction (sales manager looking for upsell opportunities as an example) is that person getting the information within the context of that action or transaction? Or are they minimizing screens, logging into another application or reporting tool, running queries, etc.?   Who are the BI Users in your neighborhood or line of business? Do Evelson's personas resonate--and do the tools that he calls out (he refers to it as "BI Style") resonate with what your personas have or need? Finally, I'm very interested if BI use is viewed as  a bolt-on...or an integrated part of your daily enterprise processes?

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  • Want to know how SQL Server logging works?

    - by Jonathan Kehayias
    Have you ever wondered why SQL Server logging works the way it does?  While I have long understood the importance behind the SQL Server Transaction Log, I have never actually understood exactly why it works the way it does, despite having attended Paul Randal’s ( Blog / Twitter ) session at PASS Summit last year.  Over the last few months I have been working on writing a book on troubleshooting the most common problems that I see asked on the forums, and as a part of that I have been digging...(read more)

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  • Session state in asp.net mvc

    - by tiff
    I would like to know how to use session state in a simple log in log out in asp.net mvc.. I have a code here in my controller that I've retrieved from my mysql database for my session log in..but I don't really know how to manipulate it.. <AcceptVerbs(HttpVerbs.Post)> _ Function Index(ByVal username As String, ByVal password As String, ByVal department As String) As ActionResult Dim user As DataTable user = Account.userSelect(username:=username, password:=password, department:=department) If user.Rows.Count = 0 Then Return RedirectToAction("Index", "Home") Else Session("username") = user.Rows(0).Item("username") Session("department") = user.Rows(0).Item("department") Return RedirectToAction("News", "Administration") End If End Function Thank you!

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  • Add Trace methods to System.Diagnostics.TraceListner

    - by user200295
    I wrote a Log class derived from System.Diagnostics.TraceListener like so public class Log : TraceListener This acts as a wrapper to Log4Net and allows people to use System.Diagnostics Tracing like so Trace.Listeners.Clear(); Trace.Listeners.Add(new Log("MyProgram")); Trace.TraceInformation("Program Starting"); There is a request to add additional tracing levels then the default Trace ones (Error,Warning,Information) I want to have this added to the System.Diagnostics.Trace so it can be used like Trace.TraceVerbose("blah blah"); Trace.TraceAlert("Alert!"); Is there any way I can do this with an extension class? I tried public static class TraceListenerExtensions { public static void TraceVerbose(this Trace trace) {} } but nothing is being exposed on the trace instance being passed in :(

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  • Determine the ContentObserver

    - by tommieb75
    I have this content observer that is watching on the Call Log: public class monitorCallLog extends ContentObserver{ private static final String TAG = "monitorCallLog"; public monitorCallLog(Handler handler) { super(handler); // TODO Auto-generated constructor stub } @Override public boolean deliverSelfNotifications() { return false; } @Override public void onChange(boolean selfChange){ Log.v(TAG, "[onChange] *** ENTER ***"); super.onChange(selfChange); // Code goes in here to handle the job of tracking.... Log.v(TAG, "[onChange] *** LEAVE ***"); } } Now... how can I determine the nature of the change on this URI content://call_log/calls? I want to check on it if a deletion has occurred on the said URI... but there is no way of knowing...this seems to apply on a query/delete/insert/update on said URI that triggers the onChange method.... any tips/suggestions?

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  • Adding WPF Text Writer Trace Listener in an Outlook Add In using wpf window/control

    - by Deepak N
    I'm working on a outlook 2003 AddIn using VSTO SE.We have few customized windows developed in WPF. It looks there are few client machines have problem with WPF rendering due to which there could be an exception due to addin is getting disabled. I added a outlook.exe.config and added trace listeners for wpf Trace sources. I set it up according this link. The console trace listener is working fine for me. But I'm not able get the TextWriterTraceListener working with config <add name="textListener" type="System.Diagnostics.TextWriterTraceListener" initializeData="Trace.log" /> I tried giving absolute path for trace log file as "C:\Trace.log".The TextWriterTraceListener worked for a dummy wpf app with the same config. Am I missing anything here.

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  • java Finalize method call

    - by Rajesh Kumar J
    The following is my Class code import java.net.*; import java.util.*; import java.sql.*; import org.apache.log4j.*; class Database { private Connection conn; private org.apache.log4j.Logger log ; private static Database dd=new Database(); private Database(){ try{ log= Logger.getLogger(Database.class); Class.forName("com.mysql.jdbc.Driver"); conn=DriverManager.getConnection("jdbc:mysql://localhost/bc","root","root"); conn.setReadOnly(false); conn.setAutoCommit(false); log.info("Datbase created"); /*Class.forName("sun.jdbc.odbc.JdbcOdbcDriver"); conn=DriverManager.getConnection("jdbc:odbc:rmldsn"); conn.setReadOnly(false); conn.setAutoCommit(false);*/ } catch(Exception e){ log.info("Cant Create Connection"); } } public static Database getDatabase(){ return dd; } public Connection getConnection(){ return conn; } @Override protected void finalize()throws Throwable { try{ conn.close(); Runtime.getRuntime().gc(); log.info("Database Close"); } catch(Exception e){ log.info("Cannot be closed Database"); } finally{ super.finalize(); } } } This can able to Initialize Database Object only through getDatabase() method. The below is the program which uses the single Database connection for the 4 threads. public class Main extends Thread { public static int c=0; public static int start,end; private int lstart,lend; public static Connection conn; public static Database dbase; public Statement stmt,stmtEXE; public ResultSet rst; /** * @param args the command line arguments */ static{ dbase=Database.getDatabase(); conn=dbase.getConnection(); } Main(String s){ super(s); try{ stmt=conn.createStatement(ResultSet.TYPE_SCROLL_INSENSITIVE, ResultSet.CONCUR_UPDATABLE); start=end; lstart=start; end=end+5; lend=end; System.out.println("Start -" +lstart +" End-"+lend); } catch(Exception e){ e.printStackTrace(); } } @Override public void run(){ try{ URL url=new URL("http://localhost:8084/TestWeb/"); rst=stmt.executeQuery("SELECT * FROM bc.cdr_calltimestamp limit "+lstart+","+lend); while(rst.next()){ try{ rst.updateInt(2, 1); rst.updateRow(); conn.commit(); HttpURLConnection httpconn=(HttpURLConnection) url.openConnection(); httpconn.setDoInput(true); httpconn.setDoOutput(true); httpconn.setRequestProperty("Content-Type", "text/xml"); //httpconn.connect(); String reqstring="<?xml version=\"1.0\" encoding=\"US-ASCII\"?>"+ "<message><sms type=\"mt\"><destination messageid=\"PS0\"><address><number" + "type=\"international\">"+ rst.getString(1) +"</number></address></destination><source><address>" + "<number type=\"unknown\"/></address></source><rsr type=\"success_failure\"/><ud" + "type=\"text\">Hello World</ud></sms></message>"; httpconn.getOutputStream().write(reqstring.getBytes(), 0, reqstring.length()); byte b[]=new byte[httpconn.getInputStream().available()]; //System.out.println(httpconn.getContentType()); httpconn.getInputStream().read(b); System.out.println(Thread.currentThread().getName()+new String(" Request"+rst.getString(1))); //System.out.println(new String(b)); httpconn.disconnect(); Thread.sleep(100); } catch(Exception e){ e.printStackTrace(); } } System.out.println(Thread.currentThread().getName()+" "+new java.util.Date()); } catch(Exception e){ e.printStackTrace(); } } public static void main(String[] args) throws Exception{ System.out.println(new java.util.Date()); System.out.println("Memory-before "+Runtime.getRuntime().freeMemory()); Thread t1=new Main("T1-"); Thread t2=new Main("T2-"); Thread t3=new Main("T3-"); Thread t4=new Main("T4-"); t1.start(); t2.start(); t3.start(); t4.start(); System.out.println("Memory-after "+Runtime.getRuntime().freeMemory()); } } I need to Close the connection after all the threads gets executed. Is there any good idea to do so. Kindly help me out in getting this work.

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  • Webcast: The ART of Migrating and Modernizing IBM Mainframe Applications

    - by todd.little
    Tuxedo provides an excellent platform to migrate mainframe applications to distributed systems. As the only distributed transaction processing monitor that offers quality of service comparable or better than mainframe systems, Tuxedo allows customers to migrate their existing mainframe based applications to a platform with a much lower total cost of ownership. Please join us on Thursday April 29 at 10:00am Pacific Time for this exciting webcast covering the new Oracle Tuxedo Application Runtime for CICS and Batch 11g. Find out how easy it is to migrate your CICS and mainframe batch applications to Tuxedo.

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  • Problem installing Ruby 1.9.2 with RVM on OSX 10.4

    - by questionmark
    Hi, I successfully installed Ruby 1.8.7 with RVM on OS 10.4. However, when I try to install 1.9.2, I get the following error: make: * [libruby.1.9.1.dylib] Error 1 Installation: [qm]$ rvm install 1.9.2 /Users/qm/.rvm/rubies/ruby-1.9.2-p136, this may take a while depending on your cpu(s)... % ruby-1.9.2-p136 - #fetching % ruby-1.9.2-p136 - #downloading ruby-1.9.2-p136, this may take a while depending on your connection...% ruby-1.9.2-p136 - #extracting ruby-1.9.2-p136 to /Users/qm/.rvm/src/ruby-1.9.2-p136% ruby-1.9.2-p136 - #extracted to /Users/qm/.rvm/src/ruby-1.9.2-p136% ruby-1.9.2-p136 - #configuring % ruby-1.9.2-p136 - #compiling % Error running 'make ', please read /Users/qm/.rvm/log/ruby-1.9.2-p136/make.log% There has been an error while running make. Halting the installation.% Looking at the end of the make log: MACOSX_DEPLOYMENT_TARGET environment variable set to: 10.1 /usr/libexec/gcc/powerpc-apple-darwin8/4.0.1/libtool: internal link edit command failed make: * [libruby.1.9.1.dylib] Error 1 Thanks for any help/suggestions!

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  • How to calculate bandwidth consumption for a Hosting Account using C# in ASP.Net Application?

    - by Steve Johnson
    HI all, I am working on SaaS Hosting Software. a large number of sites are hosted on the server. I am trying to calculate bandwidth consumption, (bytes transferred in and out) using C#, described Here using the MS Log Parser. In the above case, if the log files are deleted by the user or any administrator even, the bandwidth calculation will not be possible. Q1: *What is the standard way to measure the Bandwidth for various Hosting accounts (of websites) on a single server?* Q2: *If Log parser mechanism (as described above) is used, then how to take care of the security issue? Is there some system directory or event viewer logs or something which cannot be deleted except by the System account and contains bandwidth data?* Please point me in the right direction. Thanks

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  • Store value of os.system or os.popen

    - by chrissygormley
    Hello, I want to grep the error's out of a log file and save the value as an error. When I use: errors = os.system("cat log.txt | grep 'ERROR' | wc -l") I get the return code that the command worked or not. When I use: errors = os.popen("cat log.txt | grep 'ERROR' | wc -l") I get what the command is trying to do. When I run this in the command line I get 3 as thats how many errors there are. Can anyone suggest another way? Thanks

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  • Restricting logons during certain hours for certain users

    - by simonsabin
    Following a an email in a DL I decided to look at implementing a logon restriction system to prevent users from logging on at certain ties of the day. The poster had a solution but wanted to add auditing. I immediately thought of the My post on logging messages during a transaction because I new that part of the logon trigger functionality is that you rollback the connection. I therefore assumed you had to do the logging like I talk about in that post (otherwise the logging wouldn’t persist beyond...(read more)

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  • Oracle Exadata Resource Kit available

    - by javier.puerta(at)oracle.com
    To learn more about how easy it is to achieve extreme database application performance, we now invite you to access the Oracle Exadata Resource Kit, featuring: The Oracle Exadata Launch Webcast with Mark Hurd, President, Oracle IDC's report on how Oracle Exadata exceeds expectations A technical overview of Oracle Exadata Database Machine Customer case studies, videos, podcasts, and more Don't miss this chance to learn how Oracle Exadata provides extreme performance by combining data warehousing and online transaction processing applications in a single machine. Access the Oracle Exadata Resource Kit today.

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  • Review my ASP.NET Authentication code.

    - by Niels Bosma
    I have had some problems with authentication in ASP.NET. I'm not used most of the built in authentication in .NET. I gotten some complaints from users using Internet Explorer (any version - may affect other browsers as well) that the login process proceeds but when redirected they aren't authenticated and are bounced back to loginpage (pages that require authentication check if logged in and if not redirect back to loginpage). Can this be a cookie problem? Do I need to check if cookies are enabled by the user? What's the best way to build authentication if you have a custom member table and don't want to use ASP.NET login controls? Here my current code: using System; using System.Linq; using MyCompany; using System.Web; using System.Web.Security; using MyCompany.DAL; using MyCompany.Globalization; using MyCompany.DAL.Logs; using MyCompany.Logging; namespace MyCompany { public class Auth { public class AuthException : Exception { public int StatusCode = 0; public AuthException(string message, int statusCode) : base(message) { StatusCode = statusCode; } } public class EmptyEmailException : AuthException { public EmptyEmailException() : base(Language.RES_ERROR_LOGIN_CLIENT_EMPTY_EMAIL, 6) { } } public class EmptyPasswordException : AuthException { public EmptyPasswordException() : base(Language.RES_ERROR_LOGIN_CLIENT_EMPTY_PASSWORD, 7) { } } public class WrongEmailException : AuthException { public WrongEmailException() : base(Language.RES_ERROR_LOGIN_CLIENT_WRONG_EMAIL, 2) { } } public class WrongPasswordException : AuthException { public WrongPasswordException() : base(Language.RES_ERROR_LOGIN_CLIENT_WRONG_PASSWORD, 3) { } } public class InactiveAccountException : AuthException { public InactiveAccountException() : base(Language.RES_ERROR_LOGIN_CLIENT_INACTIVE_ACCOUNT, 5) { } } public class EmailNotValidatedException : AuthException { public EmailNotValidatedException() : base(Language.RES_ERROR_LOGIN_CLIENT_EMAIL_NOT_VALIDATED, 4) { } } private readonly string CLIENT_KEY = "9A751E0D-816F-4A92-9185-559D38661F77"; private readonly string CLIENT_USER_KEY = "0CE2F700-1375-4B0F-8400-06A01CED2658"; public Client Client { get { if(!IsAuthenticated) return null; if(HttpContext.Current.Items[CLIENT_KEY]==null) { HttpContext.Current.Items[CLIENT_KEY] = ClientMethods.Get<Client>((Guid)ClientId); } return (Client)HttpContext.Current.Items[CLIENT_KEY]; } } public ClientUser ClientUser { get { if (!IsAuthenticated) return null; if (HttpContext.Current.Items[CLIENT_USER_KEY] == null) { HttpContext.Current.Items[CLIENT_USER_KEY] = ClientUserMethods.GetByClientId((Guid)ClientId); } return (ClientUser)HttpContext.Current.Items[CLIENT_USER_KEY]; } } public Boolean IsAuthenticated { get; set; } public Guid? ClientId { get { if (!IsAuthenticated) return null; return (Guid)HttpContext.Current.Session["ClientId"]; } } public Guid? ClientUserId { get { if (!IsAuthenticated) return null; return ClientUser.Id; } } public int ClientTypeId { get { if (!IsAuthenticated) return 0; return Client.ClientTypeId; } } public Auth() { if (HttpContext.Current.User.Identity.IsAuthenticated) { IsAuthenticated = true; } } public void RequireClientOfType(params int[] types) { if (!(IsAuthenticated && types.Contains(ClientTypeId))) { HttpContext.Current.Response.Redirect((new UrlFactory(false)).GetHomeUrl(), true); } } public void Logout() { Logout(true); } public void Logout(Boolean redirect) { FormsAuthentication.SignOut(); IsAuthenticated = false; HttpContext.Current.Session["ClientId"] = null; HttpContext.Current.Items[CLIENT_KEY] = null; HttpContext.Current.Items[CLIENT_USER_KEY] = null; if(redirect) HttpContext.Current.Response.Redirect((new UrlFactory(false)).GetHomeUrl(), true); } public void Login(string email, string password, bool autoLogin) { Logout(false); email = email.Trim().ToLower(); password = password.Trim(); int status = 1; LoginAttemptLog log = new LoginAttemptLog { AutoLogin = autoLogin, Email = email, Password = password }; try { if (string.IsNullOrEmpty(email)) throw new EmptyEmailException(); if (string.IsNullOrEmpty(password)) throw new EmptyPasswordException(); ClientUser clientUser = ClientUserMethods.GetByEmailExcludingProspects(email); if (clientUser == null) throw new WrongEmailException(); if (!clientUser.Password.Equals(password)) throw new WrongPasswordException(); Client client = clientUser.Client; if (!(bool)client.PreRegCheck) throw new EmailNotValidatedException(); if (!(bool)client.Active || client.DeleteFlag.Equals("y")) throw new InactiveAccountException(); FormsAuthentication.SetAuthCookie(client.Id.ToString(), true); HttpContext.Current.Session["ClientId"] = client.Id; log.KeyId = client.Id; log.KeyEntityId = ClientMethods.GetEntityId(client.ClientTypeId); } catch (AuthException ax) { status = ax.StatusCode; log.Success = status == 1; log.Status = status; } finally { LogRecorder.Record(log); } } } }

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  • Struts and logging HTTP POST request body

    - by Ivan Vrtaric
    I'm trying to log the raw body of HTTP POST requests in our application based on Struts, running on Tomcat 6. I've found one previous post on SO that was somewhat helpful, but the accepted solution doesn't work properly in my case. The problem is, I want to log the POST body only in certain cases, and let Struts parse the parameters from the body after logging. Currently, in the Filter I wrote I can read and log the body from the HttpServletRequestWrapper object, but after that Struts can't find any parameters to parse, so the DispatchAction call (which depends on one of the parameters from the request) fails. I did some digging through Struts and Tomcat source code, and found that it doesn't matter if I store the POST body into a byte array, and expose a Stream and a Reader based on that array; when the parameters need to get parsed, Tomcat's Request object accesses its internal InputStream, which has already been read by that time. Does anyone have an idea how to implement this kind of logging correctly?

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  • Is RTD Stateless or Stateful?

    - by [email protected]
    Yes.   A stateless service is one where each request is an independent transaction that can be processed by any of the servers in a cluster.  A stateful service is one where state is kept in a server's memory from transaction to transaction, thus necessitating the proper routing of requests to the right server. The main advantage of stateless systems is simplicity of design. The main advantage of stateful systems is performance. I'm often asked whether RTD is a stateless or stateful service, so I wanted to clarify this issue in depth so that RTD's architecture will be properly understood. The short answer is: "RTD can be configured as a stateless or stateful service." The performance difference between stateless and stateful systems can be very significant, and while in a call center implementation it may be reasonable to use a pure stateless configuration, a web implementation that produces thousands of requests per second is practically impossible with a stateless configuration. RTD's performance is orders of magnitude better than most competing systems. RTD was architected from the ground up to achieve this performance. Features like automatic and dynamic compression of prediction models, automatic translation of metadata to machine code, lack of interpreted languages, and separation of model building from decisioning contribute to achieving this performance level. Because  of this focus on performance we decided to have RTD's default configuration work in a stateful manner. By being stateful RTD requests are typically handled in a few milliseconds when repeated requests come to the same session. Now, those readers that have participated in implementations of RTD know that RTD's architecture is also focused on reducing Total Cost of Ownership (TCO) with features like automatic model building, automatic time windows, automatic maintenance of database tables, automatic evaluation of data mining models, automatic management of models partitioned by channel, geography, etcetera, and hot swapping of configurations. How do you reconcile the need for a low TCO and the need for performance? How do you get the performance of a stateful system with the simplicity of a stateless system? The answer is that you make the system behave like a stateless system to the exterior, but you let it automatically take advantage of situations where being stateful is better. For example, one of the advantages of stateless systems is that you can route a message to any server in a cluster, without worrying about sending it to the same server that was handling the session in previous messages. With an RTD stateful configuration you can still route the message to any server in the cluster, so from the point of view of the configuration of other systems, it is the same as a stateless service. The difference though comes in performance, because if the message arrives to the right server, RTD can serve it without any external access to the session's state, thus tremendously reducing processing time. In typical implementations it is not rare to have high percentages of messages routed directly to the right server, while those that are not, are easily handled by forwarding the messages to the right server. This architecture usually provides the best of both worlds with performance and simplicity of configuration.   Configuring RTD as a pure stateless service A pure stateless configuration requires session data to be persisted at the end of handling each and every message and reloading that data at the beginning of handling any new message. This is of course, the root of the inefficiency of these configurations. This is also the reason why many "stateless" implementations actually do keep state to take advantage of a request coming back to the same server. Nevertheless, if the implementation requires a pure stateless decision service, this is easy to configure in RTD. The way to do it is: Mark every Integration Point to Close the session at the end of processing the message In the Session entity persist the session data on closing the session In the session entity check if a persisted version exists and load it An excellent solution for persisting the session data is Oracle Coherence, which provides a high performance, distributed cache that minimizes the performance impact of persisting and reloading the session. Alternatively, the session can be persisted to a local database. An interesting feature of the RTD stateless configuration is that it can cope with serializing concurrent requests for the same session. For example, if a web page produces two requests to the decision service, these requests could come concurrently to the decision services and be handled by different servers. Most stateless implementation would have the two requests step onto each other when saving the state, or fail one of the messages. When properly configured, RTD will make one message wait for the other before processing.   A Word on Context Using the context of a customer interaction typically significantly increases lift. For example, offer success in a call center could double if the context of the call is taken into account. For this reason, it is important to utilize the contextual information in decision making. To make the contextual information available throughout a session it needs to be persisted. When there is a well defined owner for the information then there is no problem because in case of a session restart, the information can be easily retrieved. If there is no official owner of the information, then RTD can be configured to persist this information.   Once again, RTD provides flexibility to ensure high performance when it is adequate to allow for some loss of state in the rare cases of server failure. For example, in a heavy use web site that serves 1000 pages per second the navigation history may be stored in the in memory session. In such sites it is typical that there is no OLTP that stores all the navigation events, therefore if an RTD server were to fail, it would be possible for the navigation to that point to be lost (note that a new session would be immediately established in one of the other servers). In most cases the loss of this navigation information would be acceptable as it would happen rarely. If it is desired to save this information, RTD would persist it every time the visitor navigates to a new page. Note that this practice is preferred whether RTD is configured in a stateless or stateful manner.  

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  • Configurable ruby logger setup: Logger.new().level = variable

    - by Daniel
    Hi, I want to change the logging level of an application (ruby). require 'logger' config = { :level => 'Logger::WARN' } log = Logger.new STDOUT log.level = Kernel.const_get config[:level] Well, the irb wasn't happy with that and threw "NameError: wrong constant name Logger::WARN" in my face. Ugh! I was insulted. I could do this in a case/when to solve this, or do log.level = 1, but there must be a more elegant way! Does anyone have any ideas? -daniel

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  • Towards Database Continuous Delivery – What Next after Continuous Integration? A Checklist

    - by Ben Rees
    .dbd-banner p{ font-size:0.75em; padding:0 0 10px; margin:0 } .dbd-banner p span{ color:#675C6D; } .dbd-banner p:last-child{ padding:0; } @media ALL and (max-width:640px){ .dbd-banner{ background:#f0f0f0; padding:5px; color:#333; margin-top: 5px; } } -- Database delivery patterns & practices STAGE 4 AUTOMATED DEPLOYMENT If you’ve been fortunate enough to get to the stage where you’ve implemented some sort of continuous integration process for your database updates, then hopefully you’re seeing the benefits of that investment – constant feedback on changes your devs are making, advanced warning of data loss (prior to the production release on Saturday night!), a nice suite of automated tests to check business logic, so you know it’s going to work when it goes live, and so on. But what next? What can you do to improve your delivery process further, moving towards a full continuous delivery process for your database? In this article I describe some of the issues you might need to tackle on the next stage of this journey, and how to plan to overcome those obstacles before they appear. Our Database Delivery Learning Program consists of four stages, really three – source controlling a database, running continuous integration processes, then how to set up automated deployment (the middle stage is split in two – basic and advanced continuous integration, making four stages in total). If you’ve managed to work through the first three of these stages – source control, basic, then advanced CI, then you should have a solid change management process set up where, every time one of your team checks in a change to your database (whether schema or static reference data), this change gets fully tested automatically by your CI server. But this is only part of the story. Great, we know that our updates work, that the upgrade process works, that the upgrade isn’t going to wipe our 4Tb of production data with a single DROP TABLE. But – how do you get this (fully tested) release live? Continuous delivery means being always ready to release your software at any point in time. There’s a significant gap between your latest version being tested, and it being easily releasable. Just a quick note on terminology – there’s a nice piece here from Atlassian on the difference between continuous integration, continuous delivery and continuous deployment. This piece also gives a nice description of the benefits of continuous delivery. These benefits have been summed up by Jez Humble at Thoughtworks as: “Continuous delivery is a set of principles and practices to reduce the cost, time, and risk of delivering incremental changes to users” There’s another really useful piece here on Simple-Talk about the need for continuous delivery and how it applies to the database written by Phil Factor – specifically the extra needs and complexities of implementing a full CD solution for the database (compared to just implementing CD for, say, a web app). So, hopefully you’re convinced of moving on the the next stage! The next step after CI is to get some sort of automated deployment (or “release management”) process set up. But what should I do next? What do I need to plan and think about for getting my automated database deployment process set up? Can’t I just install one of the many release management tools available and hey presto, I’m ready! If only it were that simple. Below I list some of the areas that it’s worth spending a little time on, where a little planning and prep could go a long way. It’s also worth pointing out, that this should really be an evolving process. Depending on your starting point of course, it can be a long journey from your current setup to a full continuous delivery pipeline. If you’ve got a CI mechanism in place, you’re certainly a long way down that path. Nevertheless, we’d recommend evolving your process incrementally. Pages 157 and 129-141 of the book on Continuous Delivery (by Jez Humble and Dave Farley) have some great guidance on building up a pipeline incrementally: http://www.amazon.com/Continuous-Delivery-Deployment-Automation-Addison-Wesley/dp/0321601912 For now, in this post, we’ll look at the following areas for your checklist: You and Your Team Environments The Deployment Process Rollback and Recovery Development Practices You and Your Team It’s a cliché in the DevOps community that “It’s not all about processes and tools, really it’s all about a culture”. As stated in this DevOps report from Puppet Labs: “DevOps processes and tooling contribute to high performance, but these practices alone aren’t enough to achieve organizational success. The most common barriers to DevOps adoption are cultural: lack of manager or team buy-in, or the value of DevOps isn’t understood outside of a specific group”. Like most clichés, there’s truth in there – if you want to set up a database continuous delivery process, you need to get your boss, your department, your company (if relevant) onside. Why? Because it’s an investment with the benefits coming way down the line. But the benefits are huge – for HP, in the book A Practical Approach to Large-Scale Agile Development: How HP Transformed LaserJet FutureSmart Firmware, these are summarized as: -2008 to present: overall development costs reduced by 40% -Number of programs under development increased by 140% -Development costs per program down 78% -Firmware resources now driving innovation increased by a factor of 8 (from 5% working on new features to 40% But what does this mean? It means that, when moving to the next stage, to make that extra investment in automating your deployment process, it helps a lot if everyone is convinced that this is a good thing. That they understand the benefits of automated deployment and are willing to make the effort to transform to a new way of working. Incidentally, if you’re ever struggling to convince someone of the value I’d strongly recommend just buying them a copy of this book – a great read, and a very practical guide to how it can really work at a large org. I’ve spoken to many customers who have implemented database CI who describe their deployment process as “The point where automation breaks down. Up to that point, the CI process runs, untouched by human hand, but as soon as that’s finished we revert to manual.” This deployment process can involve, for example, a DBA manually comparing an environment (say, QA) to production, creating the upgrade scripts, reading through them, checking them against an Excel document emailed to him/her the night before, turning to page 29 in his/her notebook to double-check how replication is switched off and on for deployments, and so on and so on. Painful, error-prone and lengthy. But the point is, if this is something like your deployment process, telling your DBA “We’re changing everything you do and your toolset next week, to automate most of your role – that’s okay isn’t it?” isn’t likely to go down well. There’s some work here to bring him/her onside – to explain what you’re doing, why there will still be control of the deployment process and so on. Or of course, if you’re the DBA looking after this process, you have to do a similar job in reverse. You may have researched and worked out how you’d like to change your methodology to start automating your painful release process, but do the dev team know this? What if they have to start producing different artifacts for you? Will they be happy with this? Worth talking to them, to find out. As well as talking to your DBA/dev team, the other group to get involved before implementation is your manager. And possibly your manager’s manager too. As mentioned, unless there’s buy-in “from the top”, you’re going to hit problems when the implementation starts to get rocky (and what tool/process implementations don’t get rocky?!). You need to have support from someone senior in your organisation – someone you can turn to when you need help with a delayed implementation, lack of resources or lack of progress. Actions: Get your DBA involved (or whoever looks after live deployments) and discuss what you’re planning to do or, if you’re the DBA yourself, get the dev team up-to-speed with your plans, Get your boss involved too and make sure he/she is bought in to the investment. Environments Where are you going to deploy to? And really this question is – what environments do you want set up for your deployment pipeline? Assume everyone has “Production”, but do you have a QA environment? Dedicated development environments for each dev? Proper pre-production? I’ve seen every setup under the sun, and there is often a big difference between “What we want, to do continuous delivery properly” and “What we’re currently stuck with”. Some of these differences are: What we want What we’ve got Each developer with their own dedicated database environment A single shared “development” environment, used by everyone at once An Integration box used to test the integration of all check-ins via the CI process, along with a full suite of unit-tests running on that machine In fact if you have a CI process running, you’re likely to have some sort of integration server running (even if you don’t call it that!). Whether you have a full suite of unit tests running is a different question… Separate QA environment used explicitly for manual testing prior to release “We just test on the dev environments, or maybe pre-production” A proper pre-production (or “staging”) box that matches production as closely as possible Hopefully a pre-production box of some sort. But does it match production closely!? A production environment reproducible from source control A production box which has drifted significantly from anything in source control The big question is – how much time and effort are you going to invest in fixing these issues? In reality this just involves figuring out which new databases you’re going to create and where they’ll be hosted – VMs? Cloud-based? What about size/data issues – what data are you going to include on dev environments? Does it need to be masked to protect access to production data? And often the amount of work here really depends on whether you’re working on a new, greenfield project, or trying to update an existing, brownfield application. There’s a world if difference between starting from scratch with 4 or 5 clean environments (reproducible from source control of course!), and trying to re-purpose and tweak a set of existing databases, with all of their surrounding processes and quirks. But for a proper release management process, ideally you have: Dedicated development databases, An Integration server used for testing continuous integration and running unit tests. [NB: This is the point at which deployments are automatic, without human intervention. Each deployment after this point is a one-click (but human) action], QA – QA engineers use a one-click deployment process to automatically* deploy chosen releases to QA for testing, Pre-production. The environment you use to test the production release process, Production. * A note on the use of the word “automatic” – when carrying out automated deployments this does not mean that the deployment is happening without human intervention (i.e. that something is just deploying over and over again). It means that the process of carrying out the deployment is automatic in that it’s not a person manually running through a checklist or set of actions. The deployment still requires a single-click from a user. Actions: Get your environments set up and ready, Set access permissions appropriately, Make sure everyone understands what the environments will be used for (it’s not a “free-for-all” with all environments to be accessed, played with and changed by development). The Deployment Process As described earlier, most existing database deployment processes are pretty manual. The following is a description of a process we hear very often when we ask customers “How do your database changes get live? How does your manual process work?” Check pre-production matches production (use a schema compare tool, like SQL Compare). Sometimes done by taking a backup from production and restoring in to pre-prod, Again, use a schema compare tool to find the differences between the latest version of the database ready to go live (i.e. what the team have been developing). This generates a script, User (generally, the DBA), reviews the script. This often involves manually checking updates against a spreadsheet or similar, Run the script on pre-production, and check there are no errors (i.e. it upgrades pre-production to what you hoped), If all working, run the script on production.* * this assumes there’s no problem with production drifting away from pre-production in the interim time period (i.e. someone has hacked something in to the production box without going through the proper change management process). This difference could undermine the validity of your pre-production deployment test. Red Gate is currently working on a free tool to detect this problem – sign up here at www.sqllighthouse.com, if you’re interested in testing early versions. There are several variations on this process – some better, some much worse! How do you automate this? In particular, step 3 – surely you can’t automate a DBA checking through a script, that everything is in order!? The key point here is to plan what you want in your new deployment process. There are so many options. At one extreme, pure continuous deployment – whenever a dev checks something in to source control, the CI process runs (including extensive and thorough testing!), before the deployment process keys in and automatically deploys that change to the live box. Not for the faint hearted – and really not something we recommend. At the other extreme, you might be more comfortable with a semi-automated process – the pre-production/production matching process is automated (with an error thrown if these environments don’t match), followed by a manual intervention, allowing for script approval by the DBA. One he/she clicks “Okay, I’m happy for that to go live”, the latter stages automatically take the script through to live. And anything in between of course – and other variations. But we’d strongly recommended sitting down with a whiteboard and your team, and spending a couple of hours mapping out “What do we do now?”, “What do we actually want?”, “What will satisfy our needs for continuous delivery, but still maintaining some sort of continuous control over the process?” NB: Most of what we’re discussing here is about production deployments. It’s important to note that you will also need to map out a deployment process for earlier environments (for example QA). However, these are likely to be less onerous, and many customers opt for a much more automated process for these boxes. Actions: Sit down with your team and a whiteboard, and draw out the answers to the questions above for your production deployments – “What do we do now?”, “What do we actually want?”, “What will satisfy our needs for continuous delivery, but still maintaining some sort of continuous control over the process?” Repeat for earlier environments (QA and so on). Rollback and Recovery If only every deployment went according to plan! Unfortunately they don’t – and when things go wrong, you need a rollback or recovery plan for what you’re going to do in that situation. Once you move in to a more automated database deployment process, you’re far more likely to be deploying more frequently than before. No longer once every 6 months, maybe now once per week, or even daily. Hence the need for a quick rollback or recovery process becomes paramount, and should be planned for. NB: These are mainly scenarios for handling rollbacks after the transaction has been committed. If a failure is detected during the transaction, the whole transaction can just be rolled back, no problem. There are various options, which we’ll explore in subsequent articles, things like: Immediately restore from backup, Have a pre-tested rollback script (remembering that really this is a “roll-forward” script – there’s not really such a thing as a rollback script for a database!) Have fallback environments – for example, using a blue-green deployment pattern. Different options have pros and cons – some are easier to set up, some require more investment in infrastructure; and of course some work better than others (the key issue with using backups, is loss of the interim transaction data that has been added between the failed deployment and the restore). The best mechanism will be primarily dependent on how your application works and how much you need a cast-iron failsafe mechanism. Actions: Work out an appropriate rollback strategy based on how your application and business works, your appetite for investment and requirements for a completely failsafe process. Development Practices This is perhaps the more difficult area for people to tackle. The process by which you can deploy database updates is actually intrinsically linked with the patterns and practices used to develop that database and linked application. So you need to decide whether you want to implement some changes to the way your developers actually develop the database (particularly schema changes) to make the deployment process easier. A good example is the pattern “Branch by abstraction”. Explained nicely here, by Martin Fowler, this is a process that can be used to make significant database changes (e.g. splitting a table) in a step-wise manner so that you can always roll back, without data loss – by making incremental updates to the database backward compatible. Slides 103-108 of the following slidedeck, from Niek Bartholomeus explain the process: https://speakerdeck.com/niekbartho/orchestration-in-meatspace As these slides show, by making a significant schema change in multiple steps – where each step can be rolled back without any loss of new data – this affords the release team the opportunity to have zero-downtime deployments with considerably less stress (because if an increment goes wrong, they can roll back easily). There are plenty more great patterns that can be implemented – the book Refactoring Databases, by Scott Ambler and Pramod Sadalage is a great read, if this is a direction you want to go in: http://www.amazon.com/Refactoring-Databases-Evolutionary-paperback-Addison-Wesley/dp/0321774515 But the question is – how much of this investment are you willing to make? How often are you making significant schema changes that would require these best practices? Again, there’s a difference here between migrating old projects and starting afresh – with the latter it’s much easier to instigate best practice from the start. Actions: For your business, work out how far down the path you want to go, amending your database development patterns to “best practice”. It’s a trade-off between implementing quality processes, and the necessity to do so (depending on how often you make complex changes). Socialise these changes with your development group. No-one likes having “best practice” changes imposed on them, so good to introduce these ideas and the rationale behind them early.   Summary The next stages of implementing a continuous delivery pipeline for your database changes (once you have CI up and running) require a little pre-planning, if you want to get the most out of the work, and for the implementation to go smoothly. We’ve covered some of the checklist of areas to consider – mainly in the areas of “Getting the team ready for the changes that are coming” and “Planning our your pipeline, environments, patterns and practices for development”, though there will be more detail, depending on where you’re coming from – and where you want to get to. This article is part of our database delivery patterns & practices series on Simple Talk. Find more articles for version control, automated testing, continuous integration & deployment.

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  • Jboss logging issue - pl look

    - by balaji
    Actually my issue is , our application is deployed on jboos As 4.0x, we face some issues in jboss logging.. whenever the server is restarted, jboss stops logging , and there is no update in server.log. After that it is not updating the log file. then we do touch cmd on log4j.xml, so that it creates the log files again. Please help me in fixing the issue we cant do touch everytine. we face this issue in both the nodes. thanks, balaji

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  • When will NAnt reach version 1.0

    - by sundar venugopal
    I like Nant very much. I do a lot of scripting with NAnt. It is a great little tool. Since NAnt is pre 1.0, when problems occur, I often think if that it is a problem with NAnt itself, but this is not always the case. One funny example: After running the oracle scripts I parsed the log output to make sure there was no problem. I was testing this with a small log file and it was fine. I used the task to load the file contents to a string property and used a regex to search for errors. When I used this script for a large log file, I stopped getting the "build failed" message at the bottom, because I was printing the error messages. Because the "build failed" was hiding at the top, I thought NAnt crashed, but it worked fine. It would be better for NAnt to have a 1.0 release. Any reasons why not?

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  • Recording Topics manually and automatically

    - by maria.cozzolino(at)oracle.com
    When you are recording UPK topics, the default mode for recording is manual recording, where you tell the system when to record each screen shot. This mode allows you to take the exact screen shot you need. However, it does get a bit tedious when you are recording long topics, especially if you forget to take a few screen shots. In UPK 3.5, a new version of recording was introduced - Automatic Recording. It was designed to simplify the recording process by automatically capturing screen shots as you perform your transaction. If you haven't experimented with Automatic Recording, I'd recommend you give it a try - it might make your recording life easier. If you are recording with sound, you can also narrate your topic while recording it. To turn on Automatic Recording: 1. In Tools/Options, there are two recorder tabs. The first tab, under content defaults, includes settings that you may want to share between developers, like whether keyboard shortcuts are automatically captured. 2. The second tab is the one that contains the personal preferences, like screen shot capture key and whether to record automatically or manually. On this tab, choose the option for Automatic Recording. 3. Save the settings. Note that this setting will NOT impact content defaults; this is for your user only. When you launch the recorder, you will notice a slightly different message with guidance on how to start and stop automatic recording. Once you start recording, the recorder window is hidden until the end of the recording session to allow you to capture your transaction. In the task tray, there is a series of icons that let you know that you are capturing content. You can pause the recording, as well as set and view your sound levels if you are using sound. A camera appears during each screen capture to help you know when the system is capturing a screen shot, and a context indicator appears to show the recognition. With automatic recording, you can let the system capture the necessary screen shots. It may provide a more natural recording experience, and is probably easier for the untrained developer. On the other hand, you have a bit more control with manual recording on which screen shot appears, but it also means you have to remember to capture the screen shot. :) We'd be interested in hearing which type of recording you do, and any rationale on why you made that choice. Please comment and let us know. --Maria Cozzolino, Manager of UPK Software Requirements and UI Design

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