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  • SSRS2005 timeout error

    - by jaspernygaard
    Hi I've been running around circles the last 2 days, trying to figure a problem in our customers live environment. I figured I might as well post it here, since google gave me very limited information on the error message (5 results to be exact). The error boils down to a timeout when requesting a certain report in SSRS2005, when a certain parameter is used. The deployment scenario is: Machine #1 Running reporting services (SQL2005, W2K3, IIS6) Machine #2 Running datawarehouse database (SQL2005, W2K3) which is the data source for #1 Both machines are running on the same vm cluster and LAN. The report requests a fairly simple SP - lets called it sp(param $a, param $b). When requested with param $a filled, it executes correctly. When using param $b, it times out after the global timeout periode has passed. If I run the stored procedure with param $b directly from sql management studio on #2, it returns the results perfectly fine (within 3-4s). I've profiled the datawarehouse database on #2 and when param $b is used, the query from the reporting service to the database, never reaches #2. The error message that I get upon timeout, when using param $b, when invoking the report directly from SSRS web interface is: "An error has occurred during report processing. Cannot read the next data row for the data set DataSet. A severe error occurred on the current command. The results, if any, should be discarded. Operation cancelled by user." The ExecutionLog for the SSRS does give me much information besides the error message rsProcessingAborted I'm running out of ideas of how to nail this problem. So I would greatly appreciate any comments, suggestions or ideas. Thanks in advance!

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  • Why do ICMP Redirct Host happen?

    - by El Barto
    I'm setting up a Debian box as a router for 4 subnets. For that I have defined 4 virtual interfaces on the NIC where the LAN is connected (eth1). eth1 Link encap:Ethernet HWaddr 94:0c:6d:82:0d:98 inet addr:10.1.1.1 Bcast:10.1.1.255 Mask:255.255.255.0 inet6 addr: fe80::960c:6dff:fe82:d98/64 Scope:Link UP BROADCAST RUNNING MULTICAST MTU:1500 Metric:1 RX packets:6026521 errors:0 dropped:0 overruns:0 frame:0 TX packets:35331299 errors:0 dropped:0 overruns:0 carrier:0 collisions:0 txqueuelen:1000 RX bytes:673201397 (642.0 MiB) TX bytes:177276932 (169.0 MiB) Interrupt:19 Base address:0x6000 eth1:0 Link encap:Ethernet HWaddr 94:0c:6d:82:0d:98 inet addr:10.1.2.1 Bcast:10.1.2.255 Mask:255.255.255.0 UP BROADCAST RUNNING MULTICAST MTU:1500 Metric:1 Interrupt:19 Base address:0x6000 eth1:1 Link encap:Ethernet HWaddr 94:0c:6d:82:0d:98 inet addr:10.1.3.1 Bcast:10.1.3.255 Mask:255.255.255.0 UP BROADCAST RUNNING MULTICAST MTU:1500 Metric:1 Interrupt:19 Base address:0x6000 eth1:2 Link encap:Ethernet HWaddr 94:0c:6d:82:0d:98 inet addr:10.1.4.1 Bcast:10.1.4.255 Mask:255.255.255.0 UP BROADCAST RUNNING MULTICAST MTU:1500 Metric:1 Interrupt:19 Base address:0x6000 eth2 Link encap:Ethernet HWaddr 6c:f0:49:a4:47:38 inet addr:192.168.1.10 Bcast:192.168.1.255 Mask:255.255.255.0 inet6 addr: fe80::6ef0:49ff:fea4:4738/64 Scope:Link UP BROADCAST RUNNING MULTICAST MTU:1500 Metric:1 RX packets:199809345 errors:0 dropped:0 overruns:0 frame:0 TX packets:158362936 errors:0 dropped:0 overruns:0 carrier:1 collisions:0 txqueuelen:1000 RX bytes:3656983762 (3.4 GiB) TX bytes:1715848473 (1.5 GiB) Interrupt:27 eth3 Link encap:Ethernet HWaddr 94:0c:6d:82:c8:72 inet addr:192.168.2.5 Bcast:192.168.2.255 Mask:255.255.255.0 inet6 addr: fe80::960c:6dff:fe82:c872/64 Scope:Link UP BROADCAST RUNNING MULTICAST MTU:1500 Metric:1 RX packets:110814 errors:0 dropped:0 overruns:0 frame:0 TX packets:73386 errors:0 dropped:0 overruns:0 carrier:0 collisions:0 txqueuelen:1000 RX bytes:16044901 (15.3 MiB) TX bytes:42125647 (40.1 MiB) Interrupt:20 Base address:0x2000 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:22351 errors:0 dropped:0 overruns:0 frame:0 TX packets:22351 errors:0 dropped:0 overruns:0 carrier:0 collisions:0 txqueuelen:0 RX bytes:2625143 (2.5 MiB) TX bytes:2625143 (2.5 MiB) tun0 Link encap:UNSPEC HWaddr 00-00-00-00-00-00-00-00-00-00-00-00-00-00-00-00 inet addr:10.8.0.1 P-t-P:10.8.0.2 Mask:255.255.255.255 UP POINTOPOINT RUNNING NOARP MULTICAST MTU:1500 Metric:1 RX packets:41358924 errors:0 dropped:0 overruns:0 frame:0 TX packets:23116350 errors:0 dropped:0 overruns:0 carrier:0 collisions:0 txqueuelen:100 RX bytes:3065505744 (2.8 GiB) TX bytes:1324358330 (1.2 GiB) I have two other computers connected to this network. One has IP 10.1.1.12 (subnet mask 255.255.255.0) and the other one 10.1.2.20 (subnet mask 255.255.255.0). I want to be able to reach 10.1.1.12 from 10.1.2.20. Since packet forwarding is enabled in the router and the policy of the FORWARD chain is ACCEPT (and there are no other rules), I understand that there should be no problem to ping from 10.1.2.20 to 10.1.1.12 going through the router. However, this is what I get: $ ping -c15 10.1.1.12 PING 10.1.1.12 (10.1.1.12): 56 data bytes Request timeout for icmp_seq 0 92 bytes from router2.mydomain.com (10.1.2.1): Redirect Host(New addr: 10.1.1.12) Vr HL TOS Len ID Flg off TTL Pro cks Src Dst 4 5 00 0054 81d4 0 0000 3f 01 e2b3 10.1.2.20 10.1.1.12 Request timeout for icmp_seq 1 92 bytes from router2.mydomain.com (10.1.2.1): Redirect Host(New addr: 10.1.1.12) Vr HL TOS Len ID Flg off TTL Pro cks Src Dst 4 5 00 0054 899b 0 0000 3f 01 daec 10.1.2.20 10.1.1.12 Request timeout for icmp_seq 2 92 bytes from router2.mydomain.com (10.1.2.1): Redirect Host(New addr: 10.1.1.12) Vr HL TOS Len ID Flg off TTL Pro cks Src Dst 4 5 00 0054 78fe 0 0000 3f 01 eb89 10.1.2.20 10.1.1.12 Request timeout for icmp_seq 3 92 bytes from router2.mydomain.com (10.1.2.1): Redirect Host(New addr: 10.1.1.12) Vr HL TOS Len ID Flg off TTL Pro cks Src Dst 4 5 00 0054 14b8 0 0000 3f 01 4fd0 10.1.2.20 10.1.1.12 Request timeout for icmp_seq 4 92 bytes from router2.mydomain.com (10.1.2.1): Redirect Host(New addr: 10.1.1.12) Vr HL TOS Len ID Flg off TTL Pro cks Src Dst 4 5 00 0054 8ef7 0 0000 3f 01 d590 10.1.2.20 10.1.1.12 Request timeout for icmp_seq 5 92 bytes from router2.mydomain.com (10.1.2.1): Redirect Host(New addr: 10.1.1.12) Vr HL TOS Len ID Flg off TTL Pro cks Src Dst 4 5 00 0054 ec9d 0 0000 3f 01 77ea 10.1.2.20 10.1.1.12 Request timeout for icmp_seq 6 92 bytes from router2.mydomain.com (10.1.2.1): Redirect Host(New addr: 10.1.1.12) Vr HL TOS Len ID Flg off TTL Pro cks Src Dst 4 5 00 0054 70e6 0 0000 3f 01 f3a1 10.1.2.20 10.1.1.12 Request timeout for icmp_seq 7 92 bytes from router2.mydomain.com (10.1.2.1): Redirect Host(New addr: 10.1.1.12) Vr HL TOS Len ID Flg off TTL Pro cks Src Dst 4 5 00 0054 b0d2 0 0000 3f 01 b3b5 10.1.2.20 10.1.1.12 Request timeout for icmp_seq 8 92 bytes from router2.mydomain.com (10.1.2.1): Redirect Host(New addr: 10.1.1.12) Vr HL TOS Len ID Flg off TTL Pro cks Src Dst 4 5 00 0054 f8b4 0 0000 3f 01 6bd3 10.1.2.20 10.1.1.12 Request timeout for icmp_seq 9 Request timeout for icmp_seq 10 92 bytes from router2.mydomain.com (10.1.2.1): Redirect Host(New addr: 10.1.1.12) Vr HL TOS Len ID Flg off TTL Pro cks Src Dst 4 5 00 0054 1c95 0 0000 3f 01 47f3 10.1.2.20 10.1.1.12 Request timeout for icmp_seq 11 Request timeout for icmp_seq 12 Request timeout for icmp_seq 13 92 bytes from router2.mydomain.com (10.1.2.1): Redirect Host(New addr: 10.1.1.12) Vr HL TOS Len ID Flg off TTL Pro cks Src Dst 4 5 00 0054 62bc 0 0000 3f 01 01cc 10.1.2.20 10.1.1.12 Why does this happen? From what I've read the Redirect Host response has something to do with the fact that the two hosts are in the same network and there being a shorter route (or so I understood). They are in fact in the same physical network, but why would there be a better route if they are not on the same subnet (they can't see each other)? What am I missing? Some extra info you might want to see: # route -n Kernel IP routing table Destination Gateway Genmask Flags Metric Ref Use Iface 10.8.0.2 0.0.0.0 255.255.255.255 UH 0 0 0 tun0 127.0.0.1 0.0.0.0 255.255.255.255 UH 0 0 0 lo 192.168.2.0 0.0.0.0 255.255.255.0 U 0 0 0 eth3 10.8.0.0 10.8.0.2 255.255.255.0 UG 0 0 0 tun0 192.168.1.0 0.0.0.0 255.255.255.0 U 1 0 0 eth2 10.1.4.0 0.0.0.0 255.255.255.0 U 0 0 0 eth1 10.1.1.0 0.0.0.0 255.255.255.0 U 0 0 0 eth1 10.1.2.0 0.0.0.0 255.255.255.0 U 0 0 0 eth1 10.1.3.0 0.0.0.0 255.255.255.0 U 0 0 0 eth1 0.0.0.0 192.168.1.1 0.0.0.0 UG 0 0 0 eth2 0.0.0.0 192.168.2.1 0.0.0.0 UG 100 0 0 eth3 # iptables -L -n Chain INPUT (policy ACCEPT) target prot opt source destination Chain FORWARD (policy ACCEPT) target prot opt source destination Chain OUTPUT (policy ACCEPT) target prot opt source destination # iptables -L -n -t nat Chain PREROUTING (policy ACCEPT) target prot opt source destination Chain POSTROUTING (policy ACCEPT) target prot opt source destination MASQUERADE all -- !10.0.0.0/8 10.0.0.0/8 MASQUERADE all -- 10.0.0.0/8 !10.0.0.0/8 Chain OUTPUT (policy ACCEPT) target prot opt source destination

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  • OpenVPN and PPTP on XEN VPS

    - by amiv
    I have Debian based system (Ubuntu 11.10) on XEN VPS. I've installed OpenVPN and works great. I need to install PPTP too, so did it and clients can connect, but they have no internet on client side. If I connect to VPN over PPTP I can ping and access to only my VPS by its IP, but ony that. There's no "internet" on client side. It looks it's not DNS problems (I'm using 8.8.8.8) because I can't ping known IPs. I bet the solution is simple, but don't have any idea. Any guess? /etc/pptpd.conf option /etc/ppp/pptpd-options logwtmp localip 46.38.xx.xx remoteip 10.1.0.1-10 /etc/ppp/pptpd-options name pptpd refuse-pap refuse-chap refuse-mschap require-mschap-v2 require-mppe-128 ms-dns 8.8.8.8 ms-dns 8.8.4.4 proxyarp nodefaultroute lock nobsdcomp /etc/ppp/ip-up [...] ifconfig ppp0 mtu 1400 /etc/sysctl.conf [...] net.ipv4.ip_forward=1 Command which I run: iptables -t nat -A POSTROUTING -j SNAT --to-source 46.38.xx.xx (IP of my VPS) The client can connect, first one gets IP 10.1.0.1 and DNS from Google. I bet it's iptables problem, am I right? I'm iptables noob and I don't have idea what's wrong. And here's the ifconfig and route command before client connect via PPTP: root@vps3780:~# route Kernel IP routing table Destination Gateway Genmask Flags Metric Ref Use Iface default xx.xx.tel.ru 0.0.0.0 UG 100 0 0 eth0 10.8.0.0 10.8.0.2 255.255.255.0 UG 0 0 0 tun0 10.8.0.2 * 255.255.255.255 UH 0 0 0 tun0 46.38.xx.0 * 255.255.255.0 U 0 0 0 eth0 root@vps3780:~# ifconfig eth0 Link encap:Ethernet HWaddr 00:16:3e:56:xx:xx inet addr:46.38.xx.xx Bcast:0.0.0.0 Mask:255.255.255.0 inet6 addr: fe80::216:xx:xx:dfb6/64 Scope:Link UP BROADCAST RUNNING MULTICAST MTU:1500 Metric:1 RX packets:22671 errors:0 dropped:81 overruns:0 frame:0 TX packets:2266 errors:0 dropped:0 overruns:0 carrier:0 collisions:0 txqueuelen:1000 RX bytes:1813358 (1.8 MB) TX bytes:667626 (667.6 KB) Interrupt:24 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:100 errors:0 dropped:0 overruns:0 frame:0 TX packets:100 errors:0 dropped:0 overruns:0 carrier:0 collisions:0 txqueuelen:0 RX bytes:10778 (10.7 KB) TX bytes:10778 (10.7 KB) tun0 Link encap:UNSPEC HWaddr 00-00-00-00-00-00-00-00-00-00-00-00-00-00-00-00 inet addr:10.8.0.1 P-t-P:10.8.0.2 Mask:255.255.255.255 UP POINTOPOINT RUNNING NOARP MULTICAST MTU:1500 Metric:1 RX packets:602 errors:0 dropped:0 overruns:0 frame:0 TX packets:612 errors:0 dropped:0 overruns:0 carrier:0 collisions:0 txqueuelen:100 RX bytes:90850 (90.8 KB) TX bytes:418904 (418.9 KB) And here's the ifconfig and route command after client connect via PPTP: root@vps3780:~# route Kernel IP routing table Destination Gateway Genmask Flags Metric Ref Use Iface default xx.xx.tel.ru 0.0.0.0 UG 100 0 0 eth0 10.1.0.1 * 255.255.255.255 UH 0 0 0 ppp0 10.8.0.0 10.8.0.2 255.255.255.0 UG 0 0 0 tun0 10.8.0.2 * 255.255.255.255 UH 0 0 0 tun0 46.38.xx.0 * 255.255.255.0 U 0 0 0 eth0 root@vps3780:~# ifconfig eth0 Link encap:Ethernet HWaddr 00:16:3e:56:xx:xx inet addr:46.38.xx.xx Bcast:0.0.0.0 Mask:255.255.255.0 inet6 addr: fe80::216:xx:xx:dfb6/64 Scope:Link UP BROADCAST RUNNING MULTICAST MTU:1500 Metric:1 RX packets:22989 errors:0 dropped:82 overruns:0 frame:0 TX packets:2352 errors:0 dropped:0 overruns:0 carrier:0 collisions:0 txqueuelen:1000 RX bytes:1841310 (1.8 MB) TX bytes:678456 (678.4 KB) Interrupt:24 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:112 errors:0 dropped:0 overruns:0 frame:0 TX packets:112 errors:0 dropped:0 overruns:0 carrier:0 collisions:0 txqueuelen:0 RX bytes:12102 (12.1 KB) TX bytes:12102 (12.1 KB) ppp0 Link encap:Point-to-Point Protocol inet addr:46.38.xx.xx P-t-P:10.1.0.1 Mask:255.255.255.255 UP POINTOPOINT RUNNING NOARP MULTICAST MTU:1400 Metric:1 RX packets:66 errors:0 dropped:0 overruns:0 frame:0 TX packets:15 errors:0 dropped:0 overruns:0 carrier:0 collisions:0 txqueuelen:3 RX bytes:10028 (10.0 KB) TX bytes:660 (660.0 B) tun0 Link encap:UNSPEC HWaddr 00-00-00-00-00-00-00-00-00-00-00-00-00-00-00-00 inet addr:10.8.0.1 P-t-P:10.8.0.2 Mask:255.255.255.255 UP POINTOPOINT RUNNING NOARP MULTICAST MTU:1500 Metric:1 RX packets:602 errors:0 dropped:0 overruns:0 frame:0 TX packets:612 errors:0 dropped:0 overruns:0 carrier:0 collisions:0 txqueuelen:100 RX bytes:90850 (90.8 KB) TX bytes:418904 (418.9 KB) And ugly iptables --list output: root@vps3780:~# iptables --list Chain INPUT (policy ACCEPT) target prot opt source destination Chain FORWARD (policy ACCEPT) target prot opt source destination ACCEPT all -- anywhere anywhere state RELATED,ESTABLISHED ACCEPT all -- 10.8.0.0/24 anywhere REJECT all -- anywhere anywhere reject-with icmp-port-unreachable ACCEPT all -- 10.1.0.0/24 anywhere ACCEPT all -- anywhere anywhere state RELATED,ESTABLISHED ACCEPT all -- 10.1.0.0/24 anywhere REJECT all -- anywhere anywhere reject-with icmp-port-unreachable ACCEPT all -- anywhere anywhere state RELATED,ESTABLISHED ACCEPT all -- 10.8.0.0/24 anywhere REJECT all -- anywhere anywhere reject-with icmp-port-unreachable And ugly iptables -t nat -L output: root@vps3780:~# iptables -t nat -L Chain PREROUTING (policy ACCEPT) target prot opt source destination Chain INPUT (policy ACCEPT) target prot opt source destination Chain OUTPUT (policy ACCEPT) target prot opt source destination Chain POSTROUTING (policy ACCEPT) target prot opt source destination SNAT all -- 10.8.0.0/24 anywhere to:46.38.xx.xx MASQUERADE all -- 10.1.0.0/24 anywhere SNAT all -- 10.1.0.0/24 anywhere to:46.38.xx.xx SNAT all -- 10.8.0.0/24 anywhere to:46.38.xx.xx SNAT all -- 10.1.0.0/24 anywhere to:46.38.xx.xx MASQUERADE all -- anywhere anywhere SNAT all -- anywhere anywhere to:46.38.xx.xx SNAT all -- 10.8.0.0/24 anywhere to:46.38.xx.xx MASQUERADE all -- anywhere anywhere MASQUERADE all -- 10.1.0.0/24 anywhere MASQUERADE all -- anywhere anywhere MASQUERADE all -- 10.1.0.0/24 anywhere As I said - OpenVPN works very good. 10.8.0.0/24 for OpenVPN (on tun0). PPTP won't work. 10.1.0.0/24 for PPTP (on ppp0). Clients can connect, but they haven't "internet". Any suggestions will be appreciated. Second whole day fighting with no results. EDIT: iptables -t filter -F - it resolved my problem :-)

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  • Why dont Android applications provide an "Exit" option?

    - by Howiecamp
    Is there something in the Android developer guidelines that disuadea developers from providing the option to "exit" (stop running) an application from within the application itself? I love multitasking and all but it's not clear to me why: the vast majority of apps don't have their own Exit functions and hence just keep running forever don't give you a choice about running when you turn on the phone - they just do by default Both of these things lead to memory usage constantly increasing and your device running with this performance burden all of the time despite the fact that you may only want certain apps to run some of the time. Am I missing something?

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  • Directory Not Found Error

    - by noobguy
    I am trying to verify tails and when I get to the command prompt portion of the verification some difficulties seem to have arose. Below is the script: noob@noob-System-Product-Name:~$ cd [/media/noob/UUI] bash: cd: [/media/noob/UUI]: No such file or directory noob@noob-System-Product-Name:~$ gpg --keyid-format long --import tails-signing.key gpg: can't open `tails-signing.key': No such file or directory gpg: Total number processed: 0 Same thing happens when I try from download directory; noob@noob-System-Product-Name:~$ cd [/home/noob/Downloads] bash: cd: [/home/noob/Downloads]: No such file or directory noob@noob-System-Product-Name:~$ gpg --keyid-format long --import tails-signing.key gpg: can't open `tails-signing.key': No such file or directory gpg: Total number processed: 0 Any suggestions would be greatly appreciated.

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  • flashcache with mdadm and LVM

    - by Backtogeek
    I am having trouble setting up flashcache on a system with LVM and mdadm, I suspect I am either just missing an obvious step or getting some mapping wrong and hoped someone could point me in the right direction? system info: CentOS 6.4 64 bit mdadm config md0 : active raid1 sdd3[2] sde3[3] sdf3[4] sdg3[5] sdh3[1] sda3[0] 204736 blocks super 1.0 [6/6] [UUUUUU] md2 : active raid6 sdd5[2] sde5[3] sdf5[4] sdg5[5] sdh5[1] sda5[0] 3794905088 blocks super 1.1 level 6, 512k chunk, algorithm 2 [6/6] [UUUUUU] md3 : active raid0 sdc1[1] sdb1[0] 250065920 blocks super 1.1 512k chunks md1 : active raid10 sdh1[1] sda1[0] sdd1[2] sdf1[4] sdg1[5] sde1[3] 76749312 blocks super 1.1 512K chunks 2 near-copies [6/6] [UUUUUU] pcsvan PV /dev/mapper/ssdcache VG Xenvol lvm2 [3.53 TiB / 3.53 TiB free] Total: 1 [3.53 TiB] / in use: 1 [3.53 TiB] / in no VG: 0 [0 ] flashcache create command used: flashcache_create -p back ssdcache /dev/md3 /dev/md2 pvdisplay --- Physical volume --- PV Name /dev/mapper/ssdcache VG Name Xenvol PV Size 3.53 TiB / not usable 106.00 MiB Allocatable yes PE Size 128.00 MiB Total PE 28952 Free PE 28912 Allocated PE 40 PV UUID w0ENVR-EjvO-gAZ8-TQA1-5wYu-ISOk-pJv7LV vgdisplay --- Volume group --- VG Name Xenvol System ID Format lvm2 Metadata Areas 1 Metadata Sequence No 2 VG Access read/write VG Status resizable MAX LV 0 Cur LV 1 Open LV 1 Max PV 0 Cur PV 1 Act PV 1 VG Size 3.53 TiB PE Size 128.00 MiB Total PE 28952 Alloc PE / Size 40 / 5.00 GiB Free PE / Size 28912 / 3.53 TiB VG UUID 7vfKWh-ENPb-P8dV-jVlb-kP0o-1dDd-N8zzYj So that is where I am at, I thought that was the job done however when creating a logical volume called test and mounting it is /mnt/test the sequential write is pathetic, 60 ish MB/s /dev/md3 has 2 x SSD's in Raid0 which alone is performing at around 800 MB/s sequential write and I am trying to cache /dev/md2 which is 6 x 1TB drives in raid6 I have read a number of pages through the day and some of them here, it is obvious from the results that the cache is not functioning but I am unsure why. I have added the filter line in the lvm.conf filter = [ "r|/dev/sdb|", "r|/dev/sdc|", "r|/dev/md3|" ] It is probably something silly but the cache is clearly performing no writes so I suspect I am not mapping it or have not mounted the cache correctly. dmsetup status ssdcache: 0 7589810176 flashcache stats: reads(142), writes(0) read hits(133), read hit percent(93) write hits(0) write hit percent(0) dirty write hits(0) dirty write hit percent(0) replacement(0), write replacement(0) write invalidates(0), read invalidates(0) pending enqueues(0), pending inval(0) metadata dirties(0), metadata cleans(0) metadata batch(0) metadata ssd writes(0) cleanings(0) fallow cleanings(0) no room(0) front merge(0) back merge(0) force_clean_block(0) disk reads(9), disk writes(0) ssd reads(133) ssd writes(9) uncached reads(0), uncached writes(0), uncached IO requeue(0) disk read errors(0), disk write errors(0) ssd read errors(0) ssd write errors(0) uncached sequential reads(0), uncached sequential writes(0) pid_adds(0), pid_dels(0), pid_drops(0) pid_expiry(0) lru hot blocks(31136000), lru warm blocks(31136000) lru promotions(0), lru demotions(0) Xenvol-test: 0 10485760 linear I have included as much info as I can think of, look forward to any replies.

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  • multiple count Pivot table in Excel

    - by Sivakanesh
    Hi all, I'm trying to put togeter a pivot table from an Excel spreadsheet. The spreadsheets look similar to the following: DeptHead, Emp, Increment x, A, 2.5% x, B, y, C, 1.5% y, D, y, E, 2.0% I would like to make a pivot table that looks like the following; DeptHead, CountOfEmp, CountOfIncrement x, 2, 1 y, 3, 2 So it provides a count of total number of Emps and total number Increments for each DeptHead ignoring the blanks. I have tried to do this in many ways in Pivot table, but the two counts are only appearing in rows and not in columns as above. Is there any way to achieve this please? Thanks

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  • HttpClient multithread performance

    - by pepper
    I have an application which downloads more than 4500 html pages from 62 target hosts using HttpClient (4.1.3 or 4.2-beta). It runs on Windows 7 64-bit. Processor - Core i7 2600K. Network bandwidth - 54 Mb/s. At this moment it uses such parameters: DefaultHttpClient and PoolingClientConnectionManager; Also it hasIdleConnectionMonitorThread from http://hc.apache.org/httpcomponents-client-ga/tutorial/html/connmgmt.html; Maximum total connections = 80; Default maximum connections per route = 5; For thread management it uses ForkJoinPool with the parallelism level = 5 (Do I understand correctly that it is a number of working threads?) In this case my network usage (in Windows task manager) does not rise above 2.5%. To download 4500 pages it takes 70 minutes. And in HttpClient logs I have such things: DEBUG ForkJoinPool-2-worker-1 [org.apache.http.impl.conn.PoolingClientConnectionManager]: Connection released: [id: 209][route: {}-http://stackoverflow.com][total kept alive: 6; route allocated: 1 of 5; total allocated: 10 of 80] Total allocated connections do not raise above 10-12, in spite of that I've set it up to 80 connections. If I'll try to rise parallelism level to 20 or 80, network usage remains the same but a lot connection time-outs will be generated. I've read tutorials on hc.apache.org (HttpClient Performance Optimization Guide and HttpClient Threading Guide) but they does not help. Task's code looks like this: public class ContentDownloader extends RecursiveAction { private final HttpClient httpClient; private final HttpContext context; private List<Entry> entries; public ContentDownloader(HttpClient httpClient, List<Entry> entries){ this.httpClient = httpClient; context = new BasicHttpContext(); this.entries = entries; } private void computeDirectly(Entry entry){ final HttpGet get = new HttpGet(entry.getLink()); try { HttpResponse response = httpClient.execute(get, context); int statusCode = response.getStatusLine().getStatusCode(); if ( (statusCode >= 400) && (statusCode <= 600) ) { logger.error("Couldn't get content from " + get.getURI().toString() + "\n" + response.toString()); } else { HttpEntity entity = response.getEntity(); if (entity != null) { String htmlContent = EntityUtils.toString(entity).trim(); entry.setHtml(htmlContent); EntityUtils.consumeQuietly(entity); } } } catch (Exception e) { } finally { get.releaseConnection(); } } @Override protected void compute() { if (entries.size() <= 1){ computeDirectly(entries.get(0)); return; } int split = entries.size() / 2; invokeAll(new ContentDownloader(httpClient, entries.subList(0, split)), new ContentDownloader(httpClient, entries.subList(split, entries.size()))); } } And the question is - what is the best practice to use multi threaded HttpClient, may be there is a some rules for setting up ConnectionManager and HttpClient? How can I use all of 80 connections and raise network usage? If necessary, I will provide more code.

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  • What's holding up my PHP script?

    - by gAMBOOKa
    We've got a PHP crawler running on our web server. When the crawler is running, there are no cpu, memory or network bandwidth spikes. Everything is normal. But our website (also PHP), hosted on the same server, stops responding. Basically the crawler blocks any other php script from running. What could be the problem? EDIT: ** fsockopen is being used to download files to crawler! **

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  • load-causing processes disappearing from "top" ps -o pcpu shows bogus numbers

    - by Alec Matusis
    I administer a large number of servers, and I have this problem only with Ubuntu 10.04 LTS: I run a server under normal load (say load average 3.0 on an 8-core server). The "top" command shows processes taking certain % of CPU that cause this load average: say PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 11008 mysql 20 0 25.9g 22g 5496 S 67 76.0 643539:38 mysqld ps -o pcpu,pid -p11008 %CPU PID 53.1 11008 , everything is consistent. The all of the sudden, the process causing the load average disappears from "top", but the process continues to run normally (albeit with a slight performance decrease), and the system load average becomes somewhat higher. The output of ps -o pcpu becomes bogus: # ps -o pcpu,pid -p11008 %CPU PID 317910278 1587 This happened to at least 5 different severs (different brand new IBM System X hardware), each running different software: one httpd 2.2, one mysqld 5.1, and one Twisted Python TCP servers. Each time the kernel was between 2.6.32-32-server and 2.6.32-40-server. I updated some machines to 2.6.32-41-server, and it has not happened on those yet, but the bug is rare (once every 60 days or so). This is from an affected machine: top - 10:39:06 up 73 days, 17:57, 3 users, load average: 6.62, 5.60, 5.34 Tasks: 207 total, 2 running, 205 sleeping, 0 stopped, 0 zombie Cpu(s): 11.4%us, 18.0%sy, 0.0%ni, 66.3%id, 4.3%wa, 0.0%hi, 0.0%si, 0.0%st Mem: 74341464k total, 71985004k used, 2356460k free, 236456k buffers Swap: 3906552k total, 328k used, 3906224k free, 24838212k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 805 root 20 0 0 0 0 S 3 0.0 1493:09 fct0-worker 982 root 20 0 0 0 0 S 1 0.0 111:35.05 fioa-data-groom 914 root 20 0 0 0 0 S 0 0.0 884:42.71 fct1-worker 1068 root 20 0 19364 1496 1060 R 0 0.0 0:00.02 top Nothing causing high load is showing on top, but I have two highly loaded mysqld instances on it, that suddenly show crazy %CPU: #ps -o pcpu,pid,cmd -p1587 %CPU PID CMD 317713124 1587 /nail/encap/mysql-5.1.60/libexec/mysqld and #ps -o pcpu,pid,cmd -p1624 %CPU PID CMD 2802 1624 /nail/encap/mysql-5.1.60/libexec/mysqld Here are the numbers from # cat /proc/1587/stat 1587 (mysqld) S 1212 1088 1088 0 -1 4202752 14307313 0 162 0 85773299069 4611685932654088833 0 0 20 0 52 0 3549 27255418880 5483524 18446744073709551615 4194304 11111617 140733749236976 140733749235984 8858659 0 552967 4102 26345 18446744073709551615 0 0 17 5 0 0 0 0 0 the 14th and 15th numbers according to man proc are supposed to be utime %lu Amount of time that this process has been scheduled in user mode, measured in clock ticks (divide by sysconf(_SC_CLK_TCK). This includes guest time, guest_time (time spent running a virtual CPU, see below), so that applications that are not aware of the guest time field do not lose that time from their calculations. stime %lu Amount of time that this process has been scheduled in kernel mode, measured in clock ticks (divide by sysconf(_SC_CLK_TCK). On a normal server, these numbers are advancing, every time I check the /proc/PID/stat. On a buggy server, these numbers are stuck at a ridiculously high value like 4611685932654088833, and it's not changing. Has anyone encountered this bug?

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  • Why does the java -Xmx not working?

    - by Zenofo
    In my Ubuntu 11.10 VPS, Before I run the jar file: # free -m total used free shared buffers cached Mem: 256 5 250 0 0 0 -/+ buffers/cache: 5 250 Swap: 0 0 0 Run a jar file that limited to maximum of 32M memory: java -Xms8m -Xmx32m -jar ./my.jar Now the memory state as follows: # free -m total used free shared buffers cached Mem: 256 155 100 0 0 0 -/+ buffers/cache: 155 100 Swap: 0 0 0 This jar occupied 150M memory. And I can't run any other java command: # java -version Error occurred during initialization of VM Could not reserve enough space for object heap Could not create the Java virtual machine. # java -Xmx8m -version Error occurred during initialization of VM Could not reserve enough space for object heap Could not create the Java virtual machine. I want to know why the -Xmx parameter does not take effect? How can I limit the jar file using the memory?

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  • Can GPU capabilities impact virtual machine performance?

    - by Dave White
    While this many not seem like a programming question directly, it impacts my development activities and so it seems like it belongs here. It seems that more and more developers are turning to virtual environments for development activities on their computers, SharePoint development being a prime example. Also, as a trainer, I have virtual training environments for all of the classes that I teach. I recently purchased a new Dell E6510 to travel around with. It has the i7 620M (Dual core, HyperThreaded cpu running at 2.66GHz) and 8 GB of memory. Reading the spec sheet, it sounded like it would be a great laptop to carry around and run virtual machines on. Getting the laptop though, I've been pretty disappointed with the user experience of developing in a virtual machine. Giving the Virtual Machine 4 GB of memory, it was slow and I could type complete sentences and watch the VM "catchup". My company has training laptops that we provide for our classes. They are Dell Precision M6400 Intel Core 2 Duo P8700 running at 2.54Ghz with 8 GB of memory and the experience on this laptops is night and day compared to the E6510. They are crisp and you barely aware that you are running in a virtual environment. Since the E6510 should be faster in all categories than the M6400, I couldn't understand why the new laptop was slower, so I did a component by component comparison and the only place where the E6510 is less performant than the M6400 is the graphics department. The M6400 is running a nVidia FX 2700m GPU and the E6510 is running a nVidia 3100M GPU. Looking at benchmarks of the two GPUs suggest that the FX 2700M is twice as fast as the 3100M. http://www.notebookcheck.net/Mobile-Graphics-Cards-Benchmark-List.844.0.html 3100M = 111th (E6510) FX 2700m = 47th (Precision M6400) Radeon HD 5870 = 8th (Alienware) The host OS is Windows 7 64bit as is the guest OS, running in Virtual Box 3.1.8 with Guest Additions installed on the guest. The IDE being used in the virtual environment is VS 2010 Premium. So after that long setup, my question is: Is the GPU significantly impacting the virtual machine's performance or are there other factors that I'm not looking at that I can use to boost the vm's performance? Do we now have to consider GPU performance when purchasing laptops where we expect to use virtualized development environments? Thanks in advance. Cheers, Dave

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  • Improve my System, Need some advice/suggestion

    - by Pennf0lio
    Processor: 2.40 gigahertz Intel Core2 Duo Board: ASUSTeK Computer INC. P5B-MX Memory: 2 Gb VideoCard: NVIDIA GeForce 7300 GT HDD: 80GB + 250GB both IDE Operating System: Windows 7 32bit Please give me some advice what to improve in my System. I mainly used it for Graphic Design (eg, Photoshop, Cinema4d, Illustrator, Flash). I was planning to increase my Memory adding 2 GB more, Pushing it to something like 4GB in total. But just found out that recently that I already have 2x2GB installed and should be 4GB in total. When I looked at the properties of my computer, It said "Installed Memory 2GB". I wonder why is that happening? Is the other ram broken?.. I never the computer casing since I bought. so I didn't realize that I already have 2 x 2gb ram. what can you advice. Thanks!

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  • Neo4j increasing latency as SKIP increases on Cypher query + REST API

    - by voldomazta
    My setup: Java(TM) SE Runtime Environment (build 1.7.0_45-b18) Java HotSpot(TM) 64-Bit Server VM (build 24.45-b08, mixed mode) Neo4j 2.0.0-M06 Enterprise First I made sure I warmed up the cache by executing the following: START n=node(*) RETURN COUNT(n); START r=relationship(*) RETURN count(r); The size of the table is 63,677 nodes and 7,169,995 relationships Now I have the following query: START u1=node:node_auto_index('uid:39') MATCH (u1:user)-[w:WANTS]->(c:card)<-[h:HAS]-(u2:user) WHERE u2.uid <> 39 WITH u2.uid AS uid, (CASE WHEN w.qty < h.qty THEN w.qty ELSE h.qty END) AS have RETURN uid, SUM(have) AS total ORDER BY total DESC SKIP 0 LIMIT 25 This UID has about 40k+ results that I want to be able to put a pagination to. The initial skip was around 773ms. I tried page 2 (skip 25) and the latency was around the same even up to page 500 it only rose up to 900ms so I didn't really bother. Now I tried some fast forward paging and jumped by thousands so I did 1000, then 2000, then 3000. I was hoping the ORDER BY arrangement will already have been cached by Neo4j and using SKIP will just move to that index in the result and wont have to iterate through each one again. But for each thousand skip I made the latency increased by alot. It's not just cache warming because for one I already warmed up the cache and two, I tried the same skip a couple of times for each skip and it yielded the same results: SKIP 0: 773ms SKIP 1000: 1369ms SKIP 2000: 2491ms SKIP 3000: 3899ms SKIP 4000: 5686ms SKIP 5000: 7424ms Now who the hell would want to view 5000 pages of results? 40k even?! :) Good point! I will probably put a cap on the maximum results a user can view but I was just curious about this phenomenon. Will somebody please explain why Neo4j seems to be re-iterating through stuff which appears to be already known to it? Here is my profiling for the 0 skip: ==> ColumnFilter(symKeys=["uid", " INTERNAL_AGGREGATE65c4d6a2-1930-4f32-8fd9-5e4399ce6f14"], returnItemNames=["uid", "total"], _rows=25, _db_hits=0) ==> Slice(skip="Literal(0)", _rows=25, _db_hits=0) ==> Top(orderBy=["SortItem(Cached( INTERNAL_AGGREGATE65c4d6a2-1930-4f32-8fd9-5e4399ce6f14 of type Any),false)"], limit="Add(Literal(0),Literal(25))", _rows=25, _db_hits=0) ==> EagerAggregation(keys=["uid"], aggregates=["( INTERNAL_AGGREGATE65c4d6a2-1930-4f32-8fd9-5e4399ce6f14,Sum(have))"], _rows=41659, _db_hits=0) ==> ColumnFilter(symKeys=["have", "u1", "uid", "c", "h", "w", "u2"], returnItemNames=["uid", "have"], _rows=146826, _db_hits=0) ==> Extract(symKeys=["u1", "c", "h", "w", "u2"], exprKeys=["uid", "have"], _rows=146826, _db_hits=587304) ==> Filter(pred="((NOT(Product(u2,uid(0),true) == Literal(39)) AND hasLabel(u1:user(0))) AND hasLabel(u2:user(0)))", _rows=146826, _db_hits=146826) ==> TraversalMatcher(trail="(u1)-[w:WANTS WHERE (hasLabel(NodeIdentifier():card(1)) AND hasLabel(NodeIdentifier():card(1))) AND true]->(c)<-[h:HAS WHERE (NOT(Product(NodeIdentifier(),uid(0),true) == Literal(39)) AND hasLabel(NodeIdentifier():user(0))) AND true]-(u2)", _rows=146826, _db_hits=293696) And for the 5000 skip: ==> ColumnFilter(symKeys=["uid", " INTERNAL_AGGREGATE99329ea5-03cd-4d53-a6bc-3ad554b47872"], returnItemNames=["uid", "total"], _rows=25, _db_hits=0) ==> Slice(skip="Literal(5000)", _rows=25, _db_hits=0) ==> Top(orderBy=["SortItem(Cached( INTERNAL_AGGREGATE99329ea5-03cd-4d53-a6bc-3ad554b47872 of type Any),false)"], limit="Add(Literal(5000),Literal(25))", _rows=5025, _db_hits=0) ==> EagerAggregation(keys=["uid"], aggregates=["( INTERNAL_AGGREGATE99329ea5-03cd-4d53-a6bc-3ad554b47872,Sum(have))"], _rows=41659, _db_hits=0) ==> ColumnFilter(symKeys=["have", "u1", "uid", "c", "h", "w", "u2"], returnItemNames=["uid", "have"], _rows=146826, _db_hits=0) ==> Extract(symKeys=["u1", "c", "h", "w", "u2"], exprKeys=["uid", "have"], _rows=146826, _db_hits=587304) ==> Filter(pred="((NOT(Product(u2,uid(0),true) == Literal(39)) AND hasLabel(u1:user(0))) AND hasLabel(u2:user(0)))", _rows=146826, _db_hits=146826) ==> TraversalMatcher(trail="(u1)-[w:WANTS WHERE (hasLabel(NodeIdentifier():card(1)) AND hasLabel(NodeIdentifier():card(1))) AND true]->(c)<-[h:HAS WHERE (NOT(Product(NodeIdentifier(),uid(0),true) == Literal(39)) AND hasLabel(NodeIdentifier():user(0))) AND true]-(u2)", _rows=146826, _db_hits=293696) The only difference is the LIMIT clause on the Top function. I hope we can make this work as intended, I really don't want to delve into doing an embedded Neo4j + my own Jetty REST API for the web app.

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  • Python: using a regular expression to match one line of HTML

    - by skylarking
    This simple Python method I put together just checks to see if Tomcat is running on one of our servers. import urllib2 import re import sys def tomcat_check(): tomcat_status = urllib2.urlopen('http://10.1.1.20:7880') results = tomcat_status.read() pattern = re.compile('<body>Tomcat is running...</body>',re.M|re.DOTALL) q = pattern.search(results) if q == []: notify_us() else: print ("Tomcat appears to be running") sys.exit() If this line is not found : <body>Tomcat is running...</body> It calls : notify_us() Which uses SMTP to send an email message to myself and another admin that Tomcat is no longer runnning on the server... I have not used the re module in Python before...so I am assuming there is a better way to do this... I am also open to a more graceful solution with Beautiful Soup ... but haven't used that either.. Just trying to keep this as simple as possible...

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  • xen domUs crashes or unavailability

    - by Rush
    I've xen server with 8 domU. Server is Xeon E31270 with 16gb ram. I think it is enough for 8 machines. Sometimes domU's crashes and i can't figure out the reason. After crash i can connect to console and there is somthing like this: Oct 8 22:20:49 server kernel: [30892.320780] lowmem_reserve[]: 0 0 0 0 Oct 8 22:20:49 server kernel: [30892.320790] Node 0 DMA: 10*4kB 3*8kB 13*16kB 10*32kB 7*64kB 3*128kB 2*256kB 2*512kB 1*1024kB 2*2048kB 0*4096kB = 8080kB Oct 8 22:20:49 server kernel: [30892.320817] Node 0 DMA32: 648*4kB 2*8kB 1*16kB 0*32kB 1*64kB 0*128kB 0*256kB 0*512kB 1*1024kB 1*2048kB 0*4096kB = 5760kB Oct 8 22:20:49 server kernel: [30892.320842] 1491 total pagecache pages Oct 8 22:20:49 server kernel: [30892.320847] 0 pages in swap cache Oct 8 22:20:49 server kernel: [30892.320852] Swap cache stats: add 0, delete 0, find 0/0 Oct 8 22:20:49 server kernel: [30892.320858] Free swap = 0kB Oct 8 22:20:49 server kernel: [30892.320862] Total swap = 0kB Oct 8 22:20:49 server kernel: [30892.324024] 524288 pages RAM Oct 8 22:20:49 server kernel: [30892.324024] 11010 pages reserved Oct 8 22:20:49 server kernel: [30892.324024] 424467 pages shared Oct 8 22:20:49 server kernel: [30892.324024] 503538 pages non-shared Oct 8 22:20:49 server kernel: [30892.330308] apache2 invoked oom-killer: gfp_mask=0x200da, order=0, oom_adj=0 Oct 8 22:20:49 server kernel: [30892.330322] apache2 cpuset=/ mems_allowed=0 Oct 8 22:20:49 server kernel: [30892.330330] Pid: 23938, comm: apache2 Not tainted 2.6.32-5-xen-amd64 #1 Oct 8 22:20:49 server kernel: [30892.330337] Call Trace: Oct 8 22:20:49 server kernel: [30892.330349] [<ffffffff810b7180>] ? oom_kill_process+0x7f/0x23f Oct 8 22:20:49 server kernel: [30892.330358] [<ffffffff810b76a4>] ? __out_of_memory+0x12a/0x141 Oct 8 22:20:49 server kernel: [30892.330367] [<ffffffff810b77fb>] ? out_of_memory+0x140/0x172 Oct 8 22:20:49 server kernel: [30892.330376] [<ffffffff810bb59c>] ? __alloc_pages_nodemask+0x4e5/0x5f5 Oct 8 22:20:49 server kernel: [30892.330385] [<ffffffff810cc224>] ? do_wp_page+0x386/0x707 Oct 8 22:20:49 server kernel: [30892.330395] [<ffffffff8100c3a5>] ? __raw_callee_save_xen_pud_val+0x11/0x1e Oct 8 22:20:49 server kernel: [30892.330404] [<ffffffff8100c369>] ? __raw_callee_save_xen_pmd_val+0x11/0x1e Oct 8 22:20:49 server kernel: [30892.330412] [<ffffffff810cdfc7>] ? handle_mm_fault+0x7aa/0x80f Oct 8 22:20:49 server kernel: [30892.330422] [<ffffffff8130f906>] ? do_page_fault+0x2e0/0x2fc Oct 8 22:20:49 server kernel: [30892.330433] [<ffffffff8130d7a5>] ? page_fault+0x25/0x30 Oct 8 22:20:49 server kernel: [30892.330439] Mem-Info: Oct 8 22:20:49 server kernel: [30892.330443] Node 0 DMA per-cpu: Oct 8 22:20:49 server kernel: [30892.330450] CPU 0: hi: 0, btch: 1 usd: 0 Oct 8 22:20:49 server kernel: [30892.330463] CPU 1: hi: 0, btch: 1 usd: 0 Oct 8 22:20:49 server kernel: [30892.330466] Node 0 DMA32 per-cpu: Oct 8 22:20:49 server kernel: [30892.330469] CPU 0: hi: 186, btch: 31 usd: 0 Oct 8 22:20:49 server kernel: [30892.330472] CPU 1: hi: 186, btch: 31 usd: 60 Oct 8 22:20:49 server kernel: [30892.330476] active_anon:342076 inactive_anon:115398 isolated_anon:0 Oct 8 22:20:49 server kernel: [30892.330477] active_file:268 inactive_file:481 isolated_file:0 Oct 8 22:20:49 server kernel: [30892.330477] unevictable:1125 dirty:2 writeback:13 unstable:0 Oct 8 22:20:49 server kernel: [30892.330478] free:3410 slab_reclaimable:1718 slab_unreclaimable:6946 Oct 8 22:20:49 server kernel: [30892.330478] mapped:899 shmem:113 pagetables:35697 bounce:0 Oct 8 22:20:49 server kernel: [30892.330502] Node 0 DMA free:8036kB min:32kB low:40kB high:48kB active_anon:1144kB inactive_anon:1268kB active_file:8kB inactive_file:8kB unevictable:0kB isolated(anon):0kB isolated(file):0kB present:11792kB mlocked:0kB dirty:0kB writeback:0kB mapped:0kB shmem:0kB slab_reclaimable:0kB slab_unreclaimable:224kB kernel_stack:16kB pagetables:1228kB unstable:0kB bounce:0kB writeback_tmp:0kB pages_scanned:0 all_unreclaimable? no Oct 8 22:20:49 server kernel: [30892.330518] lowmem_reserve[]: 0 2004 2004 2004 Oct 8 22:20:49 server kernel: [30892.330523] Node 0 DMA32 free:5604kB min:5708kB low:7132kB high:8560kB active_anon:1367160kB inactive_anon:460324kB active_file:1064kB inactive_file:1916kB unevictable:4500kB isolated(anon):0kB isolated(file):0kB present:2052320kB mlocked:4500kB dirty:8kB writeback:52kB mapped:3600kB shmem:452kB slab_reclaimable:6872kB slab_unreclaimable:27560kB kernel_stack:3528kB pagetables:141560kB unstable:0kB bounce:0kB writeback_tmp:0kB pages_scanned:992 all_unreclaimable? no Oct 8 22:20:49 server kernel: [30892.330539] lowmem_reserve[]: 0 0 0 0 Oct 8 22:20:49 server kernel: [30892.330544] Node 0 DMA: 1*4kB 2*8kB 13*16kB 10*32kB 7*64kB 3*128kB 2*256kB 2*512kB 1*1024kB 2*2048kB 0*4096kB = 8036kB Oct 8 22:20:49 server kernel: [30892.330579] Node 0 DMA32: 609*4kB 2*8kB 1*16kB 0*32kB 1*64kB 0*128kB 0*256kB 0*512kB 1*1024kB 1*2048kB 0*4096kB = 5604kB Oct 8 22:20:49 server kernel: [30892.330605] 1522 total pagecache pages Oct 8 22:20:49 server kernel: [30892.330610] 0 pages in swap cache Oct 8 22:20:49 server kernel: [30892.330615] Swap cache stats: add 0, delete 0, find 0/0 Oct 8 22:20:49 server kernel: [30892.330621] Free swap = 0kB Oct 8 22:20:49 server kernel: [30892.330625] Total swap = 0kB Oct 8 22:20:49 server kernel: [30892.333018] 524288 pages RAM Oct 8 22:20:49 server kernel: [30892.333018] 11010 pages reserved Oct 8 22:20:49 server kernel: [30892.333018] 424367 pages shared Oct 8 22:20:49 server kernel: [30892.333018] 503658 pages non-shared Seems like there isn't enough memory for this domU. But there is no any memory problems reported in munin monitoring: As you see system uses around 0.2G and 1G is available. So my question is: Is it xen specific problem, that real memory usage and memory usage that shows munin are different (I've never seen such problems oh real hardware machines)? Or maybe it is just monitoring problem, that can't catch moment when there is unusual high load and domU go down? And how I can to defeat this problem? it is really annoying to catch messages in e-mail that domU went down. Btw, such situation was when domU had 2G memory.

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  • Load Balancing and Failover for Read-Only PostgreSQL Database

    - by Eric J.
    Scenario Multiple application servers host web services written in Java, running in SpringSource dm Server. To implement a new requirement, they will need to query a read-only PostgreSQL database. Issue To support redundancy, at least two PostgreSQL instances will be running. Access to PostgreSQL must be load balanced and must auto-fail over to currently running instances if an instance should go down. Auto-discovery of newly running instances is desirable but not required. Research I have reviewed the official PostgreSQL documentation on this issue. However, that focuses on the more general case of read/write access to the database. Top google results tend to lead to older newsgroup messages or dead projects such as Sequoia or DB Balancer, as well as one active project PG Pool II Question What are your real-world experiences with PG Pool II? What other simple and reliable alternatives are available?

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  • Munin Aggregate Graphs from several servers

    - by Sparsh Gupta
    I am using DNS round robin load balancing and have divided my total traffic onto multiple servers. Each server does around 300-400req/second but I am interested in having an aggregate graph telling me the TOTAL of all requests per second served by our architecture. Is there any way I can do this. Right now each graph in Munin comes as a separate graph as they depict things on one server. I am using configuration as follow which doesn't work doesnt work for me, does this configuration got errors? [TRAFFIC.AGGREGATED] update no requests.graph_title nGinx requests requests.graph_vlabel nGinx requests per second requests.draw LINE2 requests.graph_args --base 1000 requests.graph_category nginx requests.label req/sec requests.type DERIVE requests.min 0 requests.graph_order output requests.output.sum \ lb1.visualwebsiteoptimizer.com:nginx_request_lb1.visualwebsiteoptimizer.com_request.request \ lb3.visualwebsiteoptimizer.com:nginx_request_lb2.visualwebsiteoptimizer.com_request.request \ lb3.visualwebsiteoptimizer.com:nginx_request_lb3.visualwebsiteoptimizer.com_request.request

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  • java.util.concurrent.ThreadPoolExecutor strange logic

    - by rodrigoap
    Look ath this method of ThreadPoolExcecutor: public void execute(Runnable command) { ... if (runState == RUNNING && workQueue.offer(command)) { if (runState != RUNNING || poolSize == 0) ensureQueuedTaskHandled(command); } ... } It check that runState is RUNNING and then the oposite. As I'm trying to do some tuning on a SEDA like model I wanted to understand the internals of the thread pool. Do you think this code is correct?

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  • Clear / Flush cached memory

    - by TheDave
    I have a small VPS with 6GB RAM hosting a couple of websites. Recently I have noticed that my cached memory size is quite high - see below: Cpu(s): 0.1%us, 0.1%sy, 0.0%ni, 99.1%id, 0.0%wa, 0.2%hi, 0.4%si, 0.0%st Mem: 6113256k total, 5949620k used, 163636k free, 398584k buffers Swap: 1048564k total, 104k used, 1048460k free, 3586468k cached After investigating if there is some method to have this flushed or cleared I stumbled upon a command which is: sync; echo 3 > /proc/sys/vm/drop_caches I read it could be useful to add this to a chron-task/job. Is this method recommended or could this lead to potential problems? The only concern I have is that I use one Magento installation on Memcached - could this have any negative effects on it? I am certainly not a pro therefore I would very much appreciate some expert advise. PS: My VPS runs on CentOS 5 x64 and I have WHM + NGINX installed.

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  • Unusually high dentry cache usage

    - by Wolfgang Stengel
    Problem A CentOS machine with kernel 2.6.32 and 128 GB physical RAM ran into trouble a few days ago. The responsible system administrator tells me that the PHP-FPM application was not responding to requests in a timely manner anymore due to swapping, and having seen in free that almost no memory was left, he chose to reboot the machine. I know that free memory can be a confusing concept on Linux and a reboot perhaps was the wrong thing to do. However, the mentioned administrator blames the PHP application (which I am responsible for) and refuses to investigate further. What I could find out on my own is this: Before the restart, the free memory (incl. buffers and cache) was only a couple of hundred MB. Before the restart, /proc/meminfo reported a Slab memory usage of around 90 GB (yes, GB). After the restart, the free memory was 119 GB, going down to around 100 GB within an hour, as the PHP-FPM workers (about 600 of them) were coming back to life, each of them showing between 30 and 40 MB in the RES column in top (which has been this way for months and is perfectly reasonable given the nature of the PHP application). There is nothing else in the process list that consumes an unusual or noteworthy amount of RAM. After the restart, Slab memory was around 300 MB If have been monitoring the system ever since, and most notably the Slab memory is increasing in a straight line with a rate of about 5 GB per day. Free memory as reported by free and /proc/meminfo decreases at the same rate. Slab is currently at 46 GB. According to slabtop most of it is used for dentry entries: Free memory: free -m total used free shared buffers cached Mem: 129048 76435 52612 0 144 7675 -/+ buffers/cache: 68615 60432 Swap: 8191 0 8191 Meminfo: cat /proc/meminfo MemTotal: 132145324 kB MemFree: 53620068 kB Buffers: 147760 kB Cached: 8239072 kB SwapCached: 0 kB Active: 20300940 kB Inactive: 6512716 kB Active(anon): 18408460 kB Inactive(anon): 24736 kB Active(file): 1892480 kB Inactive(file): 6487980 kB Unevictable: 8608 kB Mlocked: 8608 kB SwapTotal: 8388600 kB SwapFree: 8388600 kB Dirty: 11416 kB Writeback: 0 kB AnonPages: 18436224 kB Mapped: 94536 kB Shmem: 6364 kB Slab: 46240380 kB SReclaimable: 44561644 kB SUnreclaim: 1678736 kB KernelStack: 9336 kB PageTables: 457516 kB NFS_Unstable: 0 kB Bounce: 0 kB WritebackTmp: 0 kB CommitLimit: 72364108 kB Committed_AS: 22305444 kB VmallocTotal: 34359738367 kB VmallocUsed: 480164 kB VmallocChunk: 34290830848 kB HardwareCorrupted: 0 kB AnonHugePages: 12216320 kB HugePages_Total: 2048 HugePages_Free: 2048 HugePages_Rsvd: 0 HugePages_Surp: 0 Hugepagesize: 2048 kB DirectMap4k: 5604 kB DirectMap2M: 2078720 kB DirectMap1G: 132120576 kB Slabtop: slabtop --once Active / Total Objects (% used) : 225920064 / 226193412 (99.9%) Active / Total Slabs (% used) : 11556364 / 11556415 (100.0%) Active / Total Caches (% used) : 110 / 194 (56.7%) Active / Total Size (% used) : 43278793.73K / 43315465.42K (99.9%) Minimum / Average / Maximum Object : 0.02K / 0.19K / 4096.00K OBJS ACTIVE USE OBJ SIZE SLABS OBJ/SLAB CACHE SIZE NAME 221416340 221416039 3% 0.19K 11070817 20 44283268K dentry 1123443 1122739 99% 0.41K 124827 9 499308K fuse_request 1122320 1122180 99% 0.75K 224464 5 897856K fuse_inode 761539 754272 99% 0.20K 40081 19 160324K vm_area_struct 437858 223259 50% 0.10K 11834 37 47336K buffer_head 353353 347519 98% 0.05K 4589 77 18356K anon_vma_chain 325090 324190 99% 0.06K 5510 59 22040K size-64 146272 145422 99% 0.03K 1306 112 5224K size-32 137625 137614 99% 1.02K 45875 3 183500K nfs_inode_cache 128800 118407 91% 0.04K 1400 92 5600K anon_vma 59101 46853 79% 0.55K 8443 7 33772K radix_tree_node 52620 52009 98% 0.12K 1754 30 7016K size-128 19359 19253 99% 0.14K 717 27 2868K sysfs_dir_cache 10240 7746 75% 0.19K 512 20 2048K filp VFS cache pressure: cat /proc/sys/vm/vfs_cache_pressure 125 Swappiness: cat /proc/sys/vm/swappiness 0 I know that unused memory is wasted memory, so this should not necessarily be a bad thing (especially given that 44 GB are shown as SReclaimable). However, apparently the machine experienced problems nonetheless, and I'm afraid the same will happen again in a few days when Slab surpasses 90 GB. Questions I have these questions: Am I correct in thinking that the Slab memory is always physical RAM, and the number is already subtracted from the MemFree value? Is such a high number of dentry entries normal? The PHP application has access to around 1.5 M files, however most of them are archives and not being accessed at all for regular web traffic. What could be an explanation for the fact that the number of cached inodes is much lower than the number of cached dentries, should they not be related somehow? If the system runs into memory trouble, should the kernel not free some of the dentries automatically? What could be a reason that this does not happen? Is there any way to "look into" the dentry cache to see what all this memory is (i.e. what are the paths that are being cached)? Perhaps this points to some kind of memory leak, symlink loop, or indeed to something the PHP application is doing wrong. The PHP application code as well as all asset files are mounted via GlusterFS network file system, could that have something to do with it? Please keep in mind that I can not investigate as root, only as a regular user, and that the administrator refuses to help. He won't even run the typical echo 2 > /proc/sys/vm/drop_caches test to see if the Slab memory is indeed reclaimable. Any insights into what could be going on and how I can investigate any further would be greatly appreciated. Updates Some further diagnostic information: Mounts: cat /proc/self/mounts rootfs / rootfs rw 0 0 proc /proc proc rw,relatime 0 0 sysfs /sys sysfs rw,relatime 0 0 devtmpfs /dev devtmpfs rw,relatime,size=66063000k,nr_inodes=16515750,mode=755 0 0 devpts /dev/pts devpts rw,relatime,gid=5,mode=620,ptmxmode=000 0 0 tmpfs /dev/shm tmpfs rw,relatime 0 0 /dev/mapper/sysvg-lv_root / ext4 rw,relatime,barrier=1,data=ordered 0 0 /proc/bus/usb /proc/bus/usb usbfs rw,relatime 0 0 /dev/sda1 /boot ext4 rw,relatime,barrier=1,data=ordered 0 0 tmpfs /phptmp tmpfs rw,noatime,size=1048576k,nr_inodes=15728640,mode=777 0 0 tmpfs /wsdltmp tmpfs rw,noatime,size=1048576k,nr_inodes=15728640,mode=777 0 0 none /proc/sys/fs/binfmt_misc binfmt_misc rw,relatime 0 0 cgroup /cgroup/cpuset cgroup rw,relatime,cpuset 0 0 cgroup /cgroup/cpu cgroup rw,relatime,cpu 0 0 cgroup /cgroup/cpuacct cgroup rw,relatime,cpuacct 0 0 cgroup /cgroup/memory cgroup rw,relatime,memory 0 0 cgroup /cgroup/devices cgroup rw,relatime,devices 0 0 cgroup /cgroup/freezer cgroup rw,relatime,freezer 0 0 cgroup /cgroup/net_cls cgroup rw,relatime,net_cls 0 0 cgroup /cgroup/blkio cgroup rw,relatime,blkio 0 0 /etc/glusterfs/glusterfs-www.vol /var/www fuse.glusterfs rw,relatime,user_id=0,group_id=0,default_permissions,allow_other,max_read=131072 0 0 /etc/glusterfs/glusterfs-upload.vol /var/upload fuse.glusterfs rw,relatime,user_id=0,group_id=0,default_permissions,allow_other,max_read=131072 0 0 sunrpc /var/lib/nfs/rpc_pipefs rpc_pipefs rw,relatime 0 0 172.17.39.78:/www /data/www nfs rw,relatime,vers=3,rsize=65536,wsize=65536,namlen=255,hard,proto=tcp,port=38467,timeo=600,retrans=2,sec=sys,mountaddr=172.17.39.78,mountvers=3,mountport=38465,mountproto=tcp,local_lock=none,addr=172.17.39.78 0 0 Mount info: cat /proc/self/mountinfo 16 21 0:3 / /proc rw,relatime - proc proc rw 17 21 0:0 / /sys rw,relatime - sysfs sysfs rw 18 21 0:5 / /dev rw,relatime - devtmpfs devtmpfs rw,size=66063000k,nr_inodes=16515750,mode=755 19 18 0:11 / /dev/pts rw,relatime - devpts devpts rw,gid=5,mode=620,ptmxmode=000 20 18 0:16 / /dev/shm rw,relatime - tmpfs tmpfs rw 21 1 253:1 / / rw,relatime - ext4 /dev/mapper/sysvg-lv_root rw,barrier=1,data=ordered 22 16 0:15 / /proc/bus/usb rw,relatime - usbfs /proc/bus/usb rw 23 21 8:1 / /boot rw,relatime - ext4 /dev/sda1 rw,barrier=1,data=ordered 24 21 0:17 / /phptmp rw,noatime - tmpfs tmpfs rw,size=1048576k,nr_inodes=15728640,mode=777 25 21 0:18 / /wsdltmp rw,noatime - tmpfs tmpfs rw,size=1048576k,nr_inodes=15728640,mode=777 26 16 0:19 / /proc/sys/fs/binfmt_misc rw,relatime - binfmt_misc none rw 27 21 0:20 / /cgroup/cpuset rw,relatime - cgroup cgroup rw,cpuset 28 21 0:21 / /cgroup/cpu rw,relatime - cgroup cgroup rw,cpu 29 21 0:22 / /cgroup/cpuacct rw,relatime - cgroup cgroup rw,cpuacct 30 21 0:23 / /cgroup/memory rw,relatime - cgroup cgroup rw,memory 31 21 0:24 / /cgroup/devices rw,relatime - cgroup cgroup rw,devices 32 21 0:25 / /cgroup/freezer rw,relatime - cgroup cgroup rw,freezer 33 21 0:26 / /cgroup/net_cls rw,relatime - cgroup cgroup rw,net_cls 34 21 0:27 / /cgroup/blkio rw,relatime - cgroup cgroup rw,blkio 35 21 0:28 / /var/www rw,relatime - fuse.glusterfs /etc/glusterfs/glusterfs-www.vol rw,user_id=0,group_id=0,default_permissions,allow_other,max_read=131072 36 21 0:29 / /var/upload rw,relatime - fuse.glusterfs /etc/glusterfs/glusterfs-upload.vol rw,user_id=0,group_id=0,default_permissions,allow_other,max_read=131072 37 21 0:30 / /var/lib/nfs/rpc_pipefs rw,relatime - rpc_pipefs sunrpc rw 39 21 0:31 / /data/www rw,relatime - nfs 172.17.39.78:/www rw,vers=3,rsize=65536,wsize=65536,namlen=255,hard,proto=tcp,port=38467,timeo=600,retrans=2,sec=sys,mountaddr=172.17.39.78,mountvers=3,mountport=38465,mountproto=tcp,local_lock=none,addr=172.17.39.78 GlusterFS config: cat /etc/glusterfs/glusterfs-www.vol volume remote1 type protocol/client option transport-type tcp option remote-host 172.17.39.71 option ping-timeout 10 option transport.socket.nodelay on # undocumented option for speed # http://gluster.org/pipermail/gluster-users/2009-September/003158.html option remote-subvolume /data/www end-volume volume remote2 type protocol/client option transport-type tcp option remote-host 172.17.39.72 option ping-timeout 10 option transport.socket.nodelay on # undocumented option for speed # http://gluster.org/pipermail/gluster-users/2009-September/003158.html option remote-subvolume /data/www end-volume volume remote3 type protocol/client option transport-type tcp option remote-host 172.17.39.73 option ping-timeout 10 option transport.socket.nodelay on # undocumented option for speed # http://gluster.org/pipermail/gluster-users/2009-September/003158.html option remote-subvolume /data/www end-volume volume remote4 type protocol/client option transport-type tcp option remote-host 172.17.39.74 option ping-timeout 10 option transport.socket.nodelay on # undocumented option for speed # http://gluster.org/pipermail/gluster-users/2009-September/003158.html option remote-subvolume /data/www end-volume volume replicate1 type cluster/replicate option lookup-unhashed off # off will reduce cpu usage, and network option local-volume-name 'hostname' subvolumes remote1 remote2 end-volume volume replicate2 type cluster/replicate option lookup-unhashed off # off will reduce cpu usage, and network option local-volume-name 'hostname' subvolumes remote3 remote4 end-volume volume distribute type cluster/distribute subvolumes replicate1 replicate2 end-volume volume iocache type performance/io-cache option cache-size 8192MB # default is 32MB subvolumes distribute end-volume volume writeback type performance/write-behind option cache-size 1024MB option window-size 1MB subvolumes iocache end-volume ### Add io-threads for parallel requisitions volume iothreads type performance/io-threads option thread-count 64 # default is 16 subvolumes writeback end-volume volume ra type performance/read-ahead option page-size 2MB option page-count 16 option force-atime-update no subvolumes iothreads end-volume

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  • What Windows licenses are required to run additional terminal service sessions

    - by John P
    We need to build out a server running Windows 2008 R2 Standard that can allow up to 10 simultaneous RDP/Terminal Services connections and I'm a little confused about how the CAL licenses work. From one source I was told I needed 10 "server CALs" and an additional 10 "RDP CALs" (total of 20 CALs). From another, I was told I just needed the 10 "RDP CALs", which implicitly came with the server CAL. The Microsoft licensing website (http://www.microsoft.com/windowsserver2008/en/us/licensing-rds.aspx) seems to support scenario #1, but it is still not real clear what those server CALs are needed for. Also, can we use the 2 "built-in" RDP clients, meaning we only need to purchase 8 CALs to reach a total of 10?

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  • Optimum number of threads while multitasking

    - by Gun Deniz
    I know similar questions have been asked but I think my case is a little bit diffrent. Let's say I have a computer with 8 cores and infinite memory with a Linux OS. I have a calculation software called Gaussian that can take advantage of multithreading. So I set its thread count to 8 for a single calculation for maximum speed. However I really can't decide what to do when I need to do run for instance 8 calculations simultaneously. In that case should I set the thread count to 1(total 8 threads spawned in 8 processes) or keep it 8(total 64 threads spawned in 8 processes) for each job? Does it really matter much? A related question is does the OS automatically does the core-parking to diffrent cores for each thread?

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