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  • Extremely high mysqld CPU usage with no active queries

    - by RadarNyan
    I have a VPS running Ubuntu 12.04 LTS with LEMP stack, followed the guide from Linode Library (since I'm using a Linode) to setup, and everything worked fine until now. I don't know what's wrong, but my CPU usage just goes up since a week ago. Today things getting really bad - I got 74% CPU usage so I went check and found that mysqld taking too much CPU usage (somewhere around 30% ~ 80%) So I did some Google Search, tried disable InnoDB, restart mysql, reset ntp / system clock (Isn't this bug supposed to happen more than a year ago?!) and reboot my VPS, nothing helped. Even with mysql processlist empty, I still get mysqld CPU usage very high. I don't know what I missed and have totally no idea, any advice would be appreciated. Thanks in advance. Update: I got these from running "strace mysqld" write(2, "InnoDB: Unable to lock ./ibdata1"..., 44) = 44 write(2, "InnoDB: Check that you do not al"..., 115) = 115 select(0, NULL, NULL, NULL, {1, 0}^[[A^[[A) = 0 (Timeout) fcntl64(3, F_SETLK64, {type=F_WRLCK, whence=SEEK_SET, start=0, len=0}, 0xbfa496f8) = -1 EAGAIN (Resource temporarily unavailable) hum... I did tried to disable InnoDB and it didn't fix this problem. Any idea? Update2: # ps -e | grep mysqld 13099 ? 00:00:20 mysqld then use "strace -p 13099", the following lines appears repeatedly: fcntl64(12, F_GETFL) = 0x2 (flags O_RDWR) fcntl64(12, F_SETFL, O_RDWR|O_NONBLOCK) = 0 accept(12, {sa_family=AF_FILE, NULL}, [2]) = 14 fcntl64(12, F_SETFL, O_RDWR) = 0 getsockname(14, {sa_family=AF_FILE, path="/var/run/mysqld/mysqld.sock"}, [30]) = 0 fcntl64(14, F_SETFL, O_RDONLY) = 0 fcntl64(14, F_GETFL) = 0x2 (flags O_RDWR) setsockopt(14, SOL_SOCKET, SO_RCVTIMEO, "\36\0\0\0\0\0\0\0", 8) = 0 setsockopt(14, SOL_SOCKET, SO_SNDTIMEO, "<\0\0\0\0\0\0\0", 8) = 0 fcntl64(14, F_SETFL, O_RDWR|O_NONBLOCK) = 0 setsockopt(14, SOL_IP, IP_TOS, [8], 4) = -1 EOPNOTSUPP (Operation not supported) futex(0xb786a584, FUTEX_WAKE_OP_PRIVATE, 1, 1, 0xb786a580, {FUTEX_OP_SET, 0, FUTEX_OP_CMP_GT, 1}) = 1 futex(0xb7869998, FUTEX_WAKE_PRIVATE, 1) = 1 poll([{fd=10, events=POLLIN}, {fd=12, events=POLLIN}], 2, -1) = 1 ([{fd=12, revents=POLLIN}]) er... now I totally don't get it x_x help

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  • Unexpected(?) high 'wasted' memory in memcached

    - by Nanne
    Looking at our memcached stats I think I have found an issue I was not aware of before. It seems that we have a strangely high amount of wasted space. I checked with phpmemcacheadmin for a change, and found this image staring at me: Now I was under the impression that the worst-case scenario would be that there is 50% waste, although I am the first to admit not knowing all the details. I have read - amongst others- this page which is indeed somewhat old, but so is our version of memcached. I think I do understand how the system works (e.g.) I believe, but I have a hard time understanding how we could get to 76% wasted space. The eviction rate that phpmemcacheadmin shows is 2 ev/s, so there is some problem here. The primary question is: what can I do to fix this. I could throw more memory at it (there is some extra available I think), maybe I should fiddle with the slab config (is that even possible with this version?), maybe there are other options? Upgrading the memcached version is not a quickly available option. The secondairy question, out of curiosity, is of course if the rate of 75% (and rising) wasted space is expected, and if so, why. System: This is currently not something I can do anything about, I know the memcached version isn't the newest, but these are the cards I've been dealt. Memcached 1.4.5 Apache 2.2.17 PHP 5.3.5

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  • wireless router - configuring for low-latency, high traffic environment

    - by Mark C
    Hey all, I have a few questions about configuring a router to achieve low-latency, high speed throughput on a local area network that is not connected to the internet. I've read up on some stuff, but thought I would solicit some opinions here on what I've found and what I want to know.... Turn off SSID broadcast - it produces extraneous packets that all clients receive and reply (?) to. Not a huge deal, but it may help a bit. Mixed-mode off - I should attempt to have all devices using the same standard (e.g. 802.11n) and turn mixed-mode off. Any thoughts on security? Does having WEP or any of the WPA variants actually increase latency? Nothing super secure is going over this LAN so if turning security off made things better, that'd be cool. Any other thoughts or things to focus on to create the low latency environment I'm trying to go for would be great. Links to webpages and papers are also cool. I'm open to go through a bunch of stuff. Thanks in advance!

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  • Netgear CG3000D new Modem/Router - Random High Ping

    - by justin.chmura
    Cox just recently came out and looked at my internet and decided that the modem I had was causing high latency issue. The speed was fine but the ping would spike to around 100 and over when gaming or putting a load more than browsing on the line. After they replaced it, it seems like I get better latency, but when it spikes, I get upwards of over 300 ping with like 500 jitter. I figured I would hit the serverfault universe before sending another email to Cox. I opted not to do the Cox setup as it was an extra $20 which I thought would have just setup the wireless (which I can handle). Is it a setting or something that I missed that needs to be setup? The firmware for the CG3000D is awful and not fun to use. I did change some hidden settings on the RgServices.asp page (I'll attach a screenshot). I've also heard that the Router/Modem combos are awful and that I should go back and just ask for a modem stand-alone. Any input is helpful. All screenshots: http://imgur.com/a/JX6qu#0

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  • High data on recv-q buffer and thread lock on java.io.BufferedInputStream in linux

    - by Sagar Patel
    We have a java application running on linux (ubuntu server). We have been facing high recv-q problem since quite some time. Application gets hang and does not read data from socket every few hours. In thread dump, we have found below stack trace. "Receiver-146" daemon prio=10 tid=0x00007fb3fc010000 nid=0x7642 runnable [0x00007fb5906c5000] java.lang.Thread.State: RUNNABLE at java.net.SocketInputStream. socketRead0(Native Method) at java.net.SocketInputStream.read(SocketInputStream.java:150) at java.net.SocketInputStream.read(SocketInputStream.java:121) at java.io.BufferedInputStream.fill(BufferedInputStream.java:235) at java.io.BufferedInputStream.read1(BufferedInputStream.java:275) at java.io.BufferedInputStream.read(BufferedInputStream.java:334) - locked <0x00000007688f1ff0> (a java.io.BufferedInputStream) at org.smpp.TCPIPConnection.receive(TCPIPConnection.java:413) at org.smpp.ReceiverBase.receivePDUFromConnection(ReceiverBase.java:197) at org.smpp.Receiver.receiveAsync(Receiver.java:351) at org.smpp.ReceiverBase.process(ReceiverBase.java:96) at org.smpp.util.ProcessingThread.run(ProcessingThread.java:199) at java.lang.Thread.run(Thread.java:722) We are not able to trace the exact reason behind this? Kindly help. We are using 16 core machine and load on the system is around 30-40 at the time of issue. We use command ss dst <ip> to find out recv-q. Recently we have been facing issues with recv-q size getting hung, were in receive buffer gets stuck at some point of time. But recvQ size is not decreasing and as a result we are losing a lot of hits from the other side, our application is not accepting any data.

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  • Mysql server high trafic makes websites really slow or unable to load

    - by Holapress
    Lately we have been having a lot of problems with our mysql server, from websites being really slow or even unable to load them at all. The server is a dedicated server that only runs our mysql database. i have been running some test using a profiler (JetProfiler) and tool to stress test (loadUI). If I use loadUI to connect with 50 simultaneous connections to one of our websites that runs a resently big query it will already make the website be unable to load. One of the things that makes me worried is that when I look at Jetprofile it always shows a Treads_connected of 1.00 and it seems that when it hits around 2.00 that I'm unable to connect. The 3 big peaks are when I run a test with loadUI, first one was 15 simultaneous connections wich made it still able for me to load the website but just really slow, the second one was 40 simultaneous connections which already made it impossible to load and the third one was with 100 connection which also didn't make it load anymore. Another thing that worries me is that in JetProfiler it says all the queries that get used are full table scans, could this maybe be the problem? The website I run as a test runs 3 queries, one for a menu that outputs around 1000 rows, one for the adds that has around 560 rows and a big one to get posts that has around 7000 rows (see screenshot bellow) I also have monitored the cpu of the server and there seems to be no problem there, even when I make a lot of connections with loadui the cpu stays low. I can't seem to figure out what is the main cause of the websites being unable to load when there is a high amount of traffic, if anyone has other suggestions for testing or something that might cause the problem please let me know.

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  • Linux 2.6.24-gentoo-r3-comtrance on x86_64 high Useage for unknown reasons

    - by Dorjan
    Hello everyone, I'm a complete rookie when it comes to all things Linux related so please treat me as such and assume I know nothing. That being said my Top says this: top - 12:08:03 up 11 days, 15:36, 0 users, load average: 5.47, 5.53, 5.46 Tasks: 296 total, 2 running, 294 sleeping, 0 stopped, 0 zombie Cpu(s): 6.3%us, 1.4%sy, 0.0%ni, 71.3%id, 20.6%wa, 0.0%hi, 0.3%si, 0.0%st Mem: 8176880k total, 8118236k used, 58644k free, 89312k buffers Swap: 1004052k total, 0k used, 1004052k free, 7235652k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 1229 root 15 -5 0 0 0 D 1 0.0 199:28.63 kjournald 2946 root 20 0 1716 676 552 D 1 0.0 145:02.94 syslogd 14553 root 20 0 2644 1268 876 R 1 0.0 0:00.34 top 14609 postfix 20 0 7896 1884 1460 D 1 0.0 0:00.02 bounce 14630 postfix 20 0 7896 1876 1452 R 0 0.0 0:00.00 bounce And my hard drives says: > df -k Filesystem 1K-blocks Used Available Use% Mounted on /dev/sda3 4925556 4474836 200508 96% / /dev/sda5 489992 36090 428602 8% /tmp /dev/sda6 377951852 236171160 122581816 66% /var none 4088440 0 4088440 0% /dev/shm It has been like it for a few days now... I know not what is causing the high server load (Normally around 1.3) can anyone give any tips on how to track down the culprit? Many thanks,

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  • Developing high-performance and scalable zend framework website

    - by Daniel
    We are going to develop an ads website like http://www.gumtree.com/ (it will not be like this one but just to give you an ideea) and we are having some issues regarding performance and scalability. We are planning on using Zend Framework for this project but this is all that I'm sure off at this point. I don't think a classic approch like Zend Framework (PHP) + MySQL + Memcache + jQuery (and I would throw Doctrine 2 in there to) will fix result in a high-performance application. I was thinking on making this a RESTful application (with Zend Framework) + NGINX (or maybe MongoDB) + Memcache (or eAccelerator -- I understand this will create problems with scalability on multiple servers) + jQuery, a CDN for static content, a server for images and a scalable server for the requests and the rest. My questions are: - What do you think about my approch? - What solutions would you recommand in terms of servers approch (MySQL, NGINX, MongoDB or pgsql) for a scalable application expected to have a lot of traffic using PHP?...I would be interested in your approch. Note: I'm a Zend Framework developer and don't have to much experience with the servers part (to determin what would be best solution for my scalable application)

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  • MySQL Extremely High Disk Activity (Read Operations)

    - by Jake Schoermer
    I have 1GB Linode VPS with a standard LAMP stack. Apache is tuned fine but for some reason MySQL's disk usage is high. This is causing really slow site load times. RAM and CPU usage are fine. Can anyone give me any pointers on tuning mysql's disk performance? I'm using InnoDB. iotop output is below. Total DISK READ: 38.50 M/s | Total DISK WRITE: 27.20 K/s TID PRIO USER DISK READ> DISK WRITE SWAPIN IO COMMAND 9808 be/4 mysql 22.40 M/s 0.00 B/s 0.00 % 63.75 % mysqld 10045 be/4 mysql 2.06 M/s 0.00 B/s 0.00 % 26.65 % mysqld 9987 be/4 mysql 1694.38 K/s 0.00 B/s 0.00 % 18.33 % mysqld 10015 be/4 mysql 1554.47 K/s 0.00 B/s 0.00 % 12.71 % mysqld 10019 be/4 mysql 1461.21 K/s 0.00 B/s 0.00 % 5.58 % mysqld 9839 be/4 mysql 1383.48 K/s 0.00 B/s 0.00 % 25.69 % mysqld 10031 be/4 mysql 1243.58 K/s 0.00 B/s 0.00 % 5.68 % mysqld 10023 be/4 mysql 1057.04 K/s 0.00 B/s 0.00 % 2.02 % mysqld 10020 be/4 mysql 1025.95 K/s 0.00 B/s 0.00 % 7.05 % mysqld 10001 be/4 mysql 808.33 K/s 683.97 K/s 0.00 % 1.16 % mysqld 10025 be/4 mysql 746.15 K/s 0.00 B/s 0.00 % 3.28 % mysqld 10043 be/4 mysql 715.06 K/s 0.00 B/s 0.00 % 0.48 % mysqld 10044 be/4 mysql 672.31 K/s 0.00 B/s 0.00 % 5.25 % mysqld 10034 be/4 mysql 668.42 K/s 1989.73 K/s 0.00 % 5.31 % mysqld 9985 be/4 mysql 450.80 K/s 124.36 K/s 0.00 % 8.83 % mysqld 9989 be/4 mysql 357.53 K/s 0.00 B/s 0.00 % 5.21 % mysqld 10033 be/4 mysql 186.54 K/s 0.00 B/s 0.00 % 1.59 % mysqld 10021 be/4 mysql 155.45 K/s 435.25 K/s 0.00 % 1.23 % mysqld 10007 be/4 mysql 124.36 K/s 0.00 B/s 0.00 % 0.53 % mysqld 9763 be/4 www-data 38.86 K/s 0.00 B/s 0.00 % 4.56 % apache2 -k start 10027 be/4 mysql 31.09 K/s 0.00 B/s 0.00 % 4.24 % mysqld 1 be/4 root 0.00 B/s 0.00 B/s 0.00 % 0.00 % init 2 be/4 root 0.00 B/s 0.00 B/s 0.00 % 0.00 % [kthreadd] 3 be/4 root 0.00 B/s 0.00 B/s 0.00 % 0.00 % [ksoftirqd/0] 4 be/4 root 0.00 B/s 0.00 B/s 0.00 % 0.00 % [kworker/0:0] 5 be/4 root 0.00 B/s 0.00 B/s 0.00 % 0.00 % [kworker/u:0] 6 rt/4 root 0.00 B/s 0.00 B/s 0.00 % 0.00 % [migration/0] 7 rt/4 root 0.00 B/s 0.00 B/s 0.00 % 0.00 % [migration/1]

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  • HIGH CPU USAGE + low memory usage

    - by hadi
    as you can see in below , there are high cpu usage by httpd request. please help me to decrease them. thanks. 28577 apache 15 0 99676 53m 3488 S 21 0.2 1:13.67 httpd 28568 apache 15 0 99676 53m 3496 S 19 0.2 1:14.92 httpd 28608 apache 15 0 99676 53m 3428 R 19 0.2 0:28.28 httpd 28615 apache 15 0 99676 53m 3436 R 19 0.2 0:25.33 httpd 28616 apache 15 0 99676 53m 3440 S 19 0.2 0:25.83 httpd 28619 apache 15 0 99676 53m 3436 R 19 0.2 0:26.12 httpd 28635 apache 15 0 97.9m 54m 3416 S 19 0.2 0:24.86 httpd 28558 apache 15 0 97.9m 54m 3432 R 17 0.2 1:40.75 httpd 28560 apache 15 0 97.9m 54m 3496 R 17 0.2 1:40.02 httpd 28621 apache 15 0 97.9m 54m 3420 S 17 0.2 0:25.61 httpd 28641 apache 16 0 97.9m 54m 3428 R 17 0.2 0:21.52 httpd 28642 apache 15 0 99756 53m 3424 R 15 0.2 0:21.46 httpd 28643 apache 15 0 99676 53m 3424 S 15 0.2 0:21.59 httpd 28594 apache 15 0 99756 53m 3428 R 13 0.2 0:44.41 httpd 28618 apache 15 0 99676 53m 3420 S 13 0.2 0:26.15 httpd 28654 apache 15 0 99676 53m 3472 S 13 0.2 0:04.27 httpd 28575 apache 15 0 99756 53m 3436 R 11 0.2 1:14.02 httpd 28576 apache 15 0 99676 53m 3496 S 11 0.2 1:16.79 httpd 28634 apache 15 0 99676 53m 3436 S 11 0.2 0:25.36 httpd 28653 apache 15 0 99676 53m 3424 S 11 0.2 0:04.35 httpd 28574 apache 15 0 99676 53m 3440 S 10 0.2 1:13.05 httpd 28592 apache 15 0 99676 53m 3492 R 10 0.2 0:45.78 httpd 28595 apache 15 0 99676 53m 3432 R 10 0.2 0:47.02 httpd 28617 apache 16 0 99676 53m 3436 S 10 0.2 0:25.32 httpd 28620 apache 15 0 99676 53m 3432 S 10 0.2 0:25.35 httpd 28597 apache 15 0 99676 53m 3428 S 8 0.2 0:43.56 httpd 11345 mysql 15 0 2927m 198m 4472 R 4 0.6 1624:43 mysqld 1 root 15 0 2036 648 552 S 0 0.0 0:16.97 init 2 root RT 0 0 0 0 S 0 0.0 0:48.50 migration/0 3 root 34 19 0 0 0 S 0 0.0 0:26.72 ksoftirqd/0 4 root RT 0 0 0 0 S 0 0.0 0:00.00 watchdog/0 5 root RT 0 0 0 0 S 0 0.0 0:04.98 migration/1 6 root 34 19 0 0 0 R 0 0.0 0:27.51 ksoftirqd/1 7 root RT 0 0 0 0 S 0 0.0 0:00.00 watchdog/1 8 root RT 0 0 0 0 S 0 0.0 0:15.42 migration/2 9 root 34 19 0 0 0 S 0 0.0 0:26.50 ksoftirqd/2 10 root RT 0 0 0 0 S 0 0.0 0:00.00 watchdog/2

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  • Getting started with webserver clustering.

    - by Ernie
    I work for a small ISP, and we host about 250 domains and all the stuff that goes along with that: DNS, mail, spam filtering, and backups. Currently, we have separate DNS servers (two of them) and mail servers (outgoing mail is actually on the secondary DNS server, but was previously on its own server). In the past, this was done as an insurance measure. The last thing we need is for some doofus (usually yours truly) to hose a server, taking out DNS and mail right along with it, or for spammers to jam our incoming SMTP server, preventing outgoing mail from being sent too. In the past, this was a problem, and our servers were set up the way they are now to combat it. However, clustering solutions like Sun's Cobalt RAQ (in days of olde) and Virtualmin appear to cater to an all-in-one approach, then deal with failures through redundant servers. I have avoided this thus far, but we've been using Virtualmin on our web server for a while now, and I'd like to expand into using it for a high availability cluster. Our networking partner has recently built a datacenter that has eliminated all of our other bugaboos like network, cooling, and power issues, so now the only thing left to go wrong is me hosing a server, which happened earlier this month. One of the bigger reasons we've avoided going this route is because our hardware requirements aren't particularly high. One server easily handles all the sites we host (most of them are flat sites). Also, load-balancing routers tend to be expensive and complicated. All that I'm really expecting to do is building a two-node cluster for redundancy so that when I hose a server (however rare that might be), we're not out for 8-12 hours while I rebuild it. What I need to know is how to get started, and if I'm really in a position to bother with this kind of thing at all.

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  • DNS failover in a two datacenter scenario

    - by wanson
    I'm trying to implement a low-cost solution for website high availability. I'm looking for the downsides of the following scenario: I have two servers with the same configuration, content, mysql replication (dual-master). They are in different datacenters - let's call them serverA and serverB. Users use serverA - serverB is more like a backup. Now, I want to use DNS failover, to switch users from serverA to serverB when serverA goes down. My idea is that I setup DNS servers (bind/powerdns) on serverA and serverB - let's call them ns1.website.com and ns2.website.com (assuming I own website.com). Then I configure my domain to use them as its nameservers. Both DNS servers will return serverA IP as my website's IP. If serverA goes down I can (either manually or automatically from serverB) change configuration of serverB's DNS, to return IP of serverB as website's IP. Of course the TTL will be low, as it's supposed to be in DNS failovers. I know that it may take some time to switch to serverB (DNS ttl, time to detect serverA failure, serverB DNS reconfiguration etc), and that some small part of users won't use serverB anyway. And I'm OK with that. But what are other downsides of such an approach? An alternative scenario is that ns1.website.com will return serverA IP as website's IP, and ns2.website.com will return serverB IP as website's IP. But AFAIK clients not always use primary nameserver and sometimes would use secondary one. So some small part of users would use serverB instead of serverA which is not quite what I'd like. Can you confirm that DNS clients behave like that and can you tell what percentage of clients would possibly use serverB instead of serverA (statistically)? This one also has the downside that when serverA goes back up, it will be automatically used as website's primary server, which is also a bad situation (cold cache, mysql replication could fail in the meantime etc). So I'm adding it only as a theoretical alternative. I was thinking about using some professional DNS failover companies but they charge for the number of DNS requests and the fees are very high (why?)

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  • "iostat" command different in two equal machines

    - by Oz.
    We have several machines on Amazon (ec2) of the type c1.xlarge with 8 cpus, running the Amazon AMI. Details on the machine: 7 GB of memory 20 EC2 Compute Units (8 virtual cores with 2.5 EC2 Compute Units each) 1690 GB of instance storage 64-bit platform I/O Performance: High API name: c1.xlarge One out of the several machines is showing a high load average, since we have run the last yum upgrade a couple of weeks a go. We did not yet update the other machines, and everything looks normal on them. The strange thing is that the top command not showing any hint for the cause of the load. CPUs are - 4.8%us, 1.1%sy, 0.0%ni, 94.1%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st. Mem is about 1.5GB free. Any idea what could it be, or where else can we check? iostat command on the proper machine: avg-cpu: %user %nice %system %iowait %steal %idle 8.97 0.03 4.46 0.19 0.14 86.23 Device: tps Blk_read/s Blk_wrtn/s Blk_read Blk_wrtn xvdap1 1.60 0.69 55.38 587620 47254184 xvdfp2 2.64 1.10 61.04 934786 52091056 xvdfp4 0.86 0.19 41.72 163866 35601920 xvdfp1 4.37 36.59 73.89 31220810 63051504 xvdfp3 8.03 7.08 94.63 6045402 80749184 iostat command on problematic machine: avg-cpu: %user %nice %system %iowait %steal %idle 9.29 0.04 5.55 0.26 0.11 84.74 Device: tps Blk_read/s Blk_wrtn/s Blk_read Blk_wrtn xvdap1 2.13 3.34 68.85 246244 5077888 xvdfp1 7.60 74.31 104.88 5480362 7734840 xvdfp3 13.22 73.67 125.00 5433386 9218600 xvdfp4 1.11 0.76 65.08 55762 4799248 xvdfp2 4.16 3.31 99.17 243818 7313264 Many thanks for the help.

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  • Difference between all servers in one cluster and more than one cluster with servers?

    - by silla
    Not sure I understand what´s the difference or how it works when servers a running in one cluster or if there are more than one clusters with servers in it - regard High availability & Load Balancing. For me they are somehow the same, there is not really a big difference. Let´s make a simple example: 2 Servers in 1 Cluster 2 Clusters with each 1 Server - 1. If one Server failure, the other one is able to continue the work. The same for Load Balancing, these two Servers are able to balance the work together. - 2. The same thing! If one Server failure... The only thing that could be a problem with point 1. is if the Cluster fails (then both of the Server are dead). But is this even possible? I was reading stuff about clustering and high availability but I think I do not get this really. Probably I did not really understand how a cluster is working. Are these 2 points with 1 Cluster and 2 Clusters somehow the same or are there really some big differences? What should I know about it? Thank you

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  • Load Balance WCF and Share a Remote MSMQ for High Throughput

    - by BarDev
    After a ton of reading in books and on the web, I have noticed hints of information that WCF and MSMQ can be used in achieving high throughput. The information I have seen mentions using multiple WCF services in a farm that reads from a single MSMQ queue. The problem is that I have found paragraphs here and there that mentions that high throughput can be done, but I cannot seem to find a document of how to implement it. The following is an excerpt from a MSDN article. The following paragraph is from Best Practices for Queued Communication http://msdn.microsoft.com/en-us/library/ms731093.aspx To achieve higher throughput and availability, use a farm of WCF services that read from the queue. This requires that all of these services expose the same contract on the same endpoint. The farm approach works best for applications that have high production rates of messages because it enables a number of services to all read from the same queue. This is what I'm trying to solve. I have an intranet application where a client sends a request to a WCF service. But I want the ability to load balance the WCF services on multiple servers in a farm. I also want these WCF services in the farm to do transactional reads from a remote MSMQ when an item is available in the Queue. If this is possible, an issue I have is that I do not understand the activation process of WCF to retrieve messages from a remote queue. If this is possible, does anyone know of any articles or Webcasts that would explain it in detail? BarDev

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  • High apache load but little traffic logged

    - by nrambeck
    I recently installed Varnish to sit in front of Apache on a dedicated server running a single site. It appears to be working well, but the load on Apache is still very high. What doesn't make sense is that the Apache access log shows almost no traffic getting past Varnish. When I tail the apache log I see about 1-3 hits per second come through. Here is what the load on Apache looks like : USER PID %CPU %MEM VSZ RSS TTY STAT START TIME COMMAND apache 13834 8.1 1.0 107716 34164 ? S 08:24 0:02 /usr/sbin/httpd apache 13835 8.1 1.0 107716 33856 ? S 08:24 0:02 /usr/sbin/httpd apache 11483 7.9 0.9 105916 30788 ? S 08:23 0:06 /usr/sbin/httpd apache 12255 7.5 1.0 107476 33312 ? S 08:24 0:04 /usr/sbin/httpd apache 9340 7.2 1.1 107732 34916 ? R 08:23 0:09 /usr/sbin/httpd apache 12029 6.8 0.9 106908 30416 ? S 08:24 0:04 /usr/sbin/httpd apache 11577 6.7 1.0 107192 34180 ? S 08:24 0:05 /usr/sbin/httpd apache 11486 6.6 1.0 106176 33112 ? S 08:23 0:05 /usr/sbin/httpd apache 11796 6.4 1.0 106936 31916 ? S 08:24 0:04 /usr/sbin/httpd apache 13815 6.3 1.0 107988 34464 ? S 08:24 0:02 /usr/sbin/httpd apache 18089 6.3 1.3 107444 43212 ? S 08:11 0:52 /usr/sbin/httpd apache 11797 5.9 1.0 107716 34580 ? S 08:24 0:04 /usr/sbin/httpd apache 7655 5.9 0.0 0 0 ? Z 08:22 0:09 [httpd] <defunct> mysql 8033 5.9 6.2 318240 199512 ? Sl May14 352:34 /usr/libexec/mysqld --basedir=/usr --datadir=/var/lib/mysql --user=mysql --pid-file=/va apache 11488 5.8 0.9 106924 31632 ? S 08:23 0:04 /usr/sbin/httpd apache 9375 5.7 1.1 106956 35552 ? S 08:23 0:07 /usr/sbin/httpd apache 3551 5.6 1.1 106956 36140 ? S 08:20 0:14 /usr/sbin/httpd apache 7657 5.6 1.0 106968 32472 ? S 08:22 0:09 /usr/sbin/httpd apache 11433 5.6 1.0 107716 34396 ? S 08:23 0:04 /usr/sbin/httpd apache 5505 5.5 1.1 106944 34924 ? S 08:21 0:12 /usr/sbin/httpd apache 7172 5.3 1.1 106972 35368 ? S 08:22 0:09 /usr/sbin/httpd apache 10088 5.2 0.9 106160 31240 ? S 08:23 0:04 /usr/sbin/httpd apache 7656 5.1 1.0 106436 34388 ? S 08:22 0:08 /usr/sbin/httpd apache 3468 5.0 1.1 107716 35968 ? S 08:20 0:13 /usr/sbin/httpd apache 14242 4.8 1.0 107728 33032 ? S 08:25 0:00 /usr/sbin/httpd apache 3578 4.8 1.1 107988 35964 ? S 08:20 0:12 /usr/sbin/httpd apache 28192 4.8 1.2 106944 38060 ? S 08:17 0:23 /usr/sbin/httpd apache 3277 4.6 1.1 106956 35688 ? S 08:20 0:13 /usr/sbin/httpd apache 15434 3.7 0.7 106908 24684 ? S 08:25 0:00 /usr/sbin/httpd There is a default apache log and then one other VirtualHost log setup. I'm concerned that Apache is handling some kind of traffic that is not being logged. Is that possible? And is there anything I can do to capture that traffic?

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  • Determining cause of high NFS/IO utilization without iotop

    - by Matt
    I have a server that is doing an NFSv4 export for user's home directories. There are roughly 25 users (mostly developers/analysts) and about 40 servers mounting the home directory export. Performance is miserable, with users often seeing multi-second lags for simple commands (like ls, or writing a small text file). Sometimes the home directory mount completely hangs for minutes, with users getting "permission denied" errors. The hardware is a Dell R510 with dual E5620 CPUs and 8 GB RAM. There are eight 15k 2.5” 600 GB drives (Seagate ST3600057SS) configured in hardware RAID-6 with a single hot spare. RAID controller is a Dell PERC H700 w/512MB cache (Linux sees this as a LSI MegaSAS 9260). OS is CentOS 5.6, home directory partition is ext3, with options “rw,data=journal,usrquota”. I have the HW RAID configured to present two virtual disks to the OS: /dev/sda for the OS (boot, root and swap partitions), and /dev/sdb for the home directories. What I find curious, and suspicious, is that the sda device often has very high utilization, even though it only contains the OS. I would expect this virtual drive to be idle almost all the time. The system is not swapping, according to "free" and "vmstat". Why would there be major load on this device? Here is a 30-second snapshot from iostat: Time: 09:37:28 AM Device: rrqm/s wrqm/s r/s w/s rkB/s wkB/s avgrq-sz avgqu-sz await svctm %util sda 0.00 44.09 0.03 107.76 0.13 607.40 11.27 0.89 8.27 7.27 78.35 sda1 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 sda2 0.00 44.09 0.03 107.76 0.13 607.40 11.27 0.89 8.27 7.27 78.35 sdb 0.00 2616.53 0.67 157.88 2.80 11098.83 140.04 8.57 54.08 4.21 66.68 sdb1 0.00 2616.53 0.67 157.88 2.80 11098.83 140.04 8.57 54.08 4.21 66.68 dm-0 0.00 0.00 0.03 151.82 0.13 607.26 8.00 1.25 8.23 5.16 78.35 dm-1 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 dm-2 0.00 0.00 0.67 2774.84 2.80 11099.37 8.00 474.30 170.89 0.24 66.84 dm-3 0.00 0.00 0.67 2774.84 2.80 11099.37 8.00 474.30 170.89 0.24 66.84 Looks like iotop is the ideal tool to use to sniff out these kinds of issues. But I'm on CentOS 5.6, which doesn't have a new enough kernel to support that program. I looked at Determining which process is causing heavy disk I/O?, and besides iotop, one of the suggestions said to do a "echo 1 /proc/sys/vm/block_dump". I did that (after directing kernel messages to tempfs). In about 13 minutes I had about 700k reads or writes, roughly half from kjournald and the other half from nfsd: # egrep " kernel: .*(READ|WRITE)" messages | wc -l 768439 # egrep " kernel: kjournald.*(READ|WRITE)" messages | wc -l 403615 # egrep " kernel: nfsd.*(READ|WRITE)" messages | wc -l 314028 For what it's worth, for the last hour, utilization has constantly been over 90% for the home directory drive. My 30-second iostat keeps showing output like this: Time: 09:36:30 PM Device: rrqm/s wrqm/s r/s w/s rkB/s wkB/s avgrq-sz avgqu-sz await svctm %util sda 0.00 6.46 0.20 11.33 0.80 71.71 12.58 0.24 20.53 14.37 16.56 sda1 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 sda2 0.00 6.46 0.20 11.33 0.80 71.71 12.58 0.24 20.53 14.37 16.56 sdb 137.29 7.00 549.92 3.80 22817.19 43.19 82.57 3.02 5.45 1.74 96.32 sdb1 137.29 7.00 549.92 3.80 22817.19 43.19 82.57 3.02 5.45 1.74 96.32 dm-0 0.00 0.00 0.20 17.76 0.80 71.04 8.00 0.38 21.21 9.22 16.57 dm-1 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 dm-2 0.00 0.00 687.47 10.80 22817.19 43.19 65.48 4.62 6.61 1.43 99.81 dm-3 0.00 0.00 687.47 10.80 22817.19 43.19 65.48 4.62 6.61 1.43 99.82

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  • Having problems with high CPU usage and apparent memory leak of Exim

    - by Dancrumb
    I'm having problems with my server and am hoping you can help. The culprit appears to be exim. The CPU usage is consistently high and the memory usage trends up and up and up for no apparent reason (this is not a heavily used server). To demonstrate the issue, I ran the following: root@server [/var/log]# service exim restart; for iter in `seq 0 9`; do date; top -n1 | grep exim; sleep 10; done Shutting down exim: [ OK ] Shutting down spamd: [ OK ] Starting exim: [ OK ] Sun Jun 6 18:12:07 CDT 2010 62592 root 25 0 11400 6572 2356 R 51.5 1.3 0:00.92 exim 62587 mailnull 18 0 7548 1212 792 S 0.0 0.2 0:00.00 exim Sun Jun 6 18:12:18 CDT 2010 62592 root 25 0 28768 23m 2356 R 57.4 4.6 0:06.75 exim 62587 mailnull 18 0 7548 1212 792 S 0.0 0.2 0:00.00 exim 62588 root 18 0 7536 2052 1648 S 0.0 0.4 0:00.00 exim Sun Jun 6 18:12:28 CDT 2010 62592 root 25 0 36408 30m 2356 R 55.5 6.0 0:12.59 exim 62587 mailnull 18 0 7548 1212 792 S 0.0 0.2 0:00.00 exim 62588 root 18 0 7536 2052 1648 S 0.0 0.4 0:00.00 exim Sun Jun 6 18:12:39 CDT 2010 62592 root 25 0 41396 35m 2356 R 53.5 7.0 0:18.35 exim 62587 mailnull 18 0 7548 1212 792 S 0.0 0.2 0:00.00 exim 62588 root 18 0 7536 2052 1648 S 0.0 0.4 0:00.00 exim Sun Jun 6 18:12:49 CDT 2010 62592 root 25 0 45868 40m 2356 R 47.5 7.8 0:24.06 exim 62587 mailnull 18 0 7548 1212 792 S 0.0 0.2 0:00.00 exim 62588 root 18 0 7536 2052 1648 S 0.0 0.4 0:00.00 exim Sun Jun 6 18:13:00 CDT 2010 62592 root 25 0 50056 44m 2356 R 55.3 8.6 0:29.84 exim 62587 mailnull 18 0 7548 1212 792 S 0.0 0.2 0:00.00 exim 62588 root 18 0 7536 2052 1648 S 0.0 0.4 0:00.00 exim Sun Jun 6 18:13:10 CDT 2010 62592 root 25 0 53888 47m 2356 R 55.2 9.4 0:35.63 exim 62587 mailnull 18 0 7548 1212 792 S 0.0 0.2 0:00.00 exim 62588 root 18 0 7536 2052 1648 S 0.0 0.4 0:00.00 exim Sun Jun 6 18:13:21 CDT 2010 62592 root 20 0 56920 50m 2356 R 55.3 9.9 0:41.15 exim 62587 mailnull 18 0 7548 1212 792 S 0.0 0.2 0:00.00 exim 62588 root 18 0 7536 2052 1648 S 0.0 0.4 0:00.00 exim Sun Jun 6 18:13:31 CDT 2010 62592 root 25 0 60380 54m 2356 R 53.4 10.6 0:46.98 exim 62587 mailnull 18 0 7548 1212 792 S 0.0 0.2 0:00.00 exim 62588 root 18 0 7536 2052 1648 S 0.0 0.4 0:00.00 exim Sun Jun 6 18:13:42 CDT 2010 62592 root 22 0 63400 57m 2356 R 49.5 11.2 0:52.74 exim 62587 mailnull 18 0 7548 1212 792 S 0.0 0.2 0:00.00 exim 62588 root 18 0 7536 2052 1648 S 0.0 0.4 0:00.00 exim After some time, it gets to a rate of picking up an extra MB every 10s. I've checked the exim logs and there are no messages coming in there. exim -bV shows: Exim version 4.69 #1 built 16-Mar-2009 14:44:43 Copyright (c) University of Cambridge 2006 Berkeley DB: Sleepycat Software: Berkeley DB 4.2.52: (February 22, 2005) Support for: crypteq iconv() IPv6 PAM Perl OpenSSL Content_Scanning Old_Demime Experimental_SPF Experimental_SRS Experimental_DomainKeys Lookups: lsearch wildlsearch nwildlsearch iplsearch dbm dbmnz passwd Authenticators: cram_md5 dovecot plaintext spa Routers: accept dnslookup ipliteral manualroute queryprogram redirect Transports: appendfile/maildir autoreply pipe smtp Size of off_t: 8 Configuration file is /etc/exim.conf I'm at something of a loss as to how to proceed. Any recommendations would be well received!

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  • Diagnosing packet loss / high latency in Ubuntu

    - by Sam Gammon
    We have a Linux box (Ubuntu 12.04) running Nginx (1.5.2), which acts as a reverse proxy/load balancer to some Tornado and Apache hosts. The upstream servers are physically and logically close (same DC, sometimes same-rack) and show sub-millisecond latency between them: PING appserver (10.xx.xx.112) 56(84) bytes of data. 64 bytes from appserver (10.xx.xx.112): icmp_req=1 ttl=64 time=0.180 ms 64 bytes from appserver (10.xx.xx.112): icmp_req=2 ttl=64 time=0.165 ms 64 bytes from appserver (10.xx.xx.112): icmp_req=3 ttl=64 time=0.153 ms We receive a sustained load of about 500 requests per second, and are currently seeing regular packet loss / latency spikes from the Internet, even from basic pings: sam@AM-KEEN ~> ping -c 1000 loadbalancer PING 50.xx.xx.16 (50.xx.xx.16): 56 data bytes 64 bytes from loadbalancer: icmp_seq=0 ttl=56 time=11.624 ms 64 bytes from loadbalancer: icmp_seq=1 ttl=56 time=10.494 ms ... many packets later ... Request timeout for icmp_seq 2 64 bytes from loadbalancer: icmp_seq=2 ttl=56 time=1536.516 ms 64 bytes from loadbalancer: icmp_seq=3 ttl=56 time=536.907 ms 64 bytes from loadbalancer: icmp_seq=4 ttl=56 time=9.389 ms ... many packets later ... Request timeout for icmp_seq 919 64 bytes from loadbalancer: icmp_seq=918 ttl=56 time=2932.571 ms 64 bytes from loadbalancer: icmp_seq=919 ttl=56 time=1932.174 ms 64 bytes from loadbalancer: icmp_seq=920 ttl=56 time=932.018 ms 64 bytes from loadbalancer: icmp_seq=921 ttl=56 time=6.157 ms --- 50.xx.xx.16 ping statistics --- 1000 packets transmitted, 997 packets received, 0.3% packet loss round-trip min/avg/max/stddev = 5.119/52.712/2932.571/224.629 ms The pattern is always the same: things operate fine for a while (<20ms), then a ping drops completely, then three or four high-latency pings (1000ms), then it settles down again. Traffic comes in through a bonded public interface (we will call it bond0) configured as such: bond0 Link encap:Ethernet HWaddr 00:xx:xx:xx:xx:5d inet addr:50.xx.xx.16 Bcast:50.xx.xx.31 Mask:255.255.255.224 inet6 addr: <ipv6 address> Scope:Global inet6 addr: <ipv6 address> Scope:Link UP BROADCAST RUNNING MASTER MULTICAST MTU:1500 Metric:1 RX packets:527181270 errors:1 dropped:4 overruns:0 frame:1 TX packets:413335045 errors:0 dropped:0 overruns:0 carrier:0 collisions:0 txqueuelen:0 RX bytes:240016223540 (240.0 GB) TX bytes:104301759647 (104.3 GB) Requests are then submitted via HTTP to upstream servers on the private network (we can call it bond1), which is configured like so: bond1 Link encap:Ethernet HWaddr 00:xx:xx:xx:xx:5c inet addr:10.xx.xx.70 Bcast:10.xx.xx.127 Mask:255.255.255.192 inet6 addr: <ipv6 address> Scope:Link UP BROADCAST RUNNING MASTER MULTICAST MTU:1500 Metric:1 RX packets:430293342 errors:1 dropped:2 overruns:0 frame:1 TX packets:466983986 errors:0 dropped:0 overruns:0 carrier:0 collisions:0 txqueuelen:0 RX bytes:77714410892 (77.7 GB) TX bytes:227349392334 (227.3 GB) Output of uname -a: Linux <hostname> 3.5.0-42-generic #65~precise1-Ubuntu SMP Wed Oct 2 20:57:18 UTC 2013 x86_64 GNU/Linux We have customized sysctl.conf in an attempt to fix the problem, with no success. Output of /etc/sysctl.conf (with irrelevant configs omitted): # net: core net.core.netdev_max_backlog = 10000 # net: ipv4 stack net.ipv4.tcp_ecn = 2 net.ipv4.tcp_sack = 1 net.ipv4.tcp_fack = 1 net.ipv4.tcp_tw_reuse = 1 net.ipv4.tcp_tw_recycle = 0 net.ipv4.tcp_timestamps = 1 net.ipv4.tcp_window_scaling = 1 net.ipv4.tcp_no_metrics_save = 1 net.ipv4.tcp_max_syn_backlog = 10000 net.ipv4.tcp_congestion_control = cubic net.ipv4.ip_local_port_range = 8000 65535 net.ipv4.tcp_syncookies = 1 net.ipv4.tcp_synack_retries = 2 net.ipv4.tcp_thin_dupack = 1 net.ipv4.tcp_thin_linear_timeouts = 1 net.netfilter.nf_conntrack_max = 99999999 net.netfilter.nf_conntrack_tcp_timeout_established = 300 Output of dmesg -d, with non-ICMP UFW messages suppressed: [508315.349295 < 19.852453>] [UFW BLOCK] IN=bond1 OUT= MAC=<mac addresses> SRC=118.xx.xx.143 DST=50.xx.xx.16 LEN=68 TOS=0x00 PREC=0x00 TTL=51 ID=43221 PROTO=ICMP TYPE=3 CODE=1 [SRC=50.xx.xx.16 DST=118.xx.xx.143 LEN=40 TOS=0x00 PREC=0x00 TTL=249 ID=10220 DF PROTO=TCP SPT=80 DPT=53817 WINDOW=8190 RES=0x00 ACK FIN URGP=0 ] [517787.732242 < 0.443127>] Peer 190.xx.xx.131:59705/80 unexpectedly shrunk window 1155488866:1155489425 (repaired) How can I go about diagnosing the cause of this problem, on a Debian-family Linux box?

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  • Troubleshooting High Load on Plesk LAMP Dedicated Server

    - by Callmeed
    I have 2 nearly identical dedicated servers with the same provider. They also run a nearly identical software stack: RedHat 5 64-bit, Plesk, PHP, Apache, & MySQL. We use them for hosting custom sites we build. The problem is, while our 1st server has a load average (in top) of around 0.3, the 2nd server consistently has a load average of around 4.0 or higher. Basic functions in Plesk are delayed and there is a bit of latency when executing shell commands. Anyone have ideas why it would be so high? And why it would differ from our other server so much? Here is my current top output (sorted by %MEM) ... Any help is much appreciated ... top - 21:48:04 up 100 days, 4:28, 1 user, load average: 3.74, 4.20, 4.23 Tasks: 336 total, 1 running, 335 sleeping, 0 stopped, 0 zombie Cpu(s): 0.8%us, 0.4%sy, 0.0%ni, 91.3%id, 7.5%wa, 0.0%hi, 0.0%si, 0.0%st Mem: 12290884k total, 11886452k used, 404432k free, 2920212k buffers Swap: 2096472k total, 244k used, 2096228k free, 6560692k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 22536 apache 15 0 860m 547m 6484 S 0.0 4.6 0:10.96 httpd 26467 apache 15 0 859m 546m 6408 S 0.0 4.5 0:07.67 httpd 3620 apache 15 0 859m 545m 5552 S 0.0 4.5 0:06.15 httpd 1895 apache 15 0 858m 544m 6356 S 0.0 4.5 0:08.25 httpd 16933 apache 15 0 858m 544m 5488 S 0.0 4.5 0:01.57 httpd 6431 apache 15 0 856m 542m 6076 S 10.6 4.5 0:05.32 httpd 14417 apache 15 0 856m 542m 5568 S 0.0 4.5 0:03.88 httpd 15403 apache 15 0 855m 541m 5616 S 0.0 4.5 0:03.73 httpd 19165 apache 15 0 853m 539m 6252 S 0.0 4.5 0:12.40 httpd 15898 apache 15 0 852m 539m 5376 S 0.0 4.5 0:02.68 httpd 14401 apache 15 0 851m 538m 5460 S 0.0 4.5 0:02.97 httpd 15393 apache 15 0 851m 538m 5404 S 0.0 4.5 0:03.12 httpd 15427 apache 15 0 851m 538m 5496 S 0.0 4.5 0:02.44 httpd 14412 apache 15 0 851m 538m 5324 S 0.0 4.5 0:02.15 httpd 18330 apache 15 0 851m 537m 5136 S 0.0 4.5 0:01.30 httpd 18303 apache 15 0 848m 535m 5140 S 0.0 4.5 0:00.47 httpd 21190 apache 15 0 845m 533m 3988 S 0.0 4.4 0:00.33 httpd 15923 root 18 0 822m 521m 9928 S 0.0 4.3 10:04.81 httpd 22021 apache 15 0 828m 520m 4964 S 0.0 4.3 0:00.16 httpd 22146 apache 15 0 823m 515m 3016 S 0.0 4.3 0:00.02 httpd 22345 apache 15 0 822m 514m 2408 S 0.0 4.3 0:00.00 httpd 14721 apache 15 0 733m 510m 488 S 0.0 4.3 0:00.00 httpd 5094 root 15 0 1452m 122m 15m S 1.0 1.0 852:24.24 java 4636 mysql 15 0 532m 57m 6440 S 1.0 0.5 488:05.84 mysqld 4799 popuser 15 0 166m 53m 2368 S 0.0 0.4 0:36.64 spamd 16761 popuser 15 0 159m 46m 2312 S 0.0 0.4 0:00.38 spamd 4797 root 15 0 158m 45m 2448 S 0.0 0.4 0:01.27 spamd 5074 root 34 19 255m 20m 2144 S 0.0 0.2 1:37.53 yum-updatesd 9917 named 15 0 366m 9804 1980 S 0.0 0.1 0:10.26 named 4332 sso 18 0 119m 8028 5212 S 0.0 0.1 0:00.06 sw-engine-cgi 4341 sso 18 0 119m 8028 5212 S 0.0 0.1 0:00.07 sw-engine-cgi 4350 sso 18 0 119m 8028 5212 S 0.0 0.1 0:00.09 sw-engine-cgi 4352 sso 18 0 119m 8028 5212 S 0.0 0.1 0:00.11 sw-engine-cgi 4376 ntp 15 0 23388 5020 3896 S 0.0 0.0 0:00.58 ntpd 4331 sw-cp-se 15 0 61336 4572 1480 S 0.0 0.0 5:53.22 sw-cp-serverd 4213 haldaemo 15 0 31252 4460 1684 S 0.0 0.0 0:01.52 hald 4778 postgres 18 0 117m 4164 3484 S 0.0 0.0 0:00.11 postmaster 18555 root 16 0 98.3m 3716 2852 S 0.0 0.0 0:00.01 sshd 4488 sso 18 0 119m 3044 224 S 0.0 0.0 0:00.00 sw-engine-cgi 4489 sso 18 0 119m 3044 224 S 0.0 0.0 0:00.00 sw-engine-cgi 4492 sso 18 0 119m 3044 224 S 0.0 0.0 0:00.00 sw-engine-cgi 4493 sso 18 0 119m 3044 224 S 0.0 0.0 0:00.00 sw-engine-cgi 4490 sso 18 0 119m 3040 220 S 0.0 0.0 0:00.00 sw-engine-cgi

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  • How to resolve high CPU + excessive stat("/etc/localtime") and clock_gettime(CLOCK_REALTIME) calls

    - by Yemster
    I've been experiencing really high CPU on a ruby on rails app (see stack below) and have been trying to diagnose the possible causes to no avail. Stack: ruby 1.9.3 rails 3.2.6 Apache/2.2.21 (Debian) Phusion Passenger 3.0.11 Whenever I run strace against the spiking Rack process PID (see Top excerpt below), I am seeing a tonne of stat("/etc/localtime") and clock_gettime(CLOCK_REALTIME) calls and have no idea how to stop these. Excerpt from Top showin running PID: PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 11674 www-user 20 0 313m 182m 5076 R 99 2.3 63:04.60 Rack: /var/www/my_rails_app/current 11634 www-user 20 0 411m 216m 5144 S 10 2.7 197:55.63 Rack: /var/www/my_rails_app/current Strace snippet below: [pid 11674] stat("/etc/localtime", {st_mode=S_IFREG|0644, st_size=118, ...}) = 0 [pid 11674] stat("/etc/localtime", {st_mode=S_IFREG|0644, st_size=118, ...}) = 0 [pid 11674] stat("/etc/localtime", {st_mode=S_IFREG|0644, st_size=118, ...}) = 0 [pid 11674] stat("/etc/localtime", {st_mode=S_IFREG|0644, st_size=118, ...}) = 0 [pid 11674] stat("/etc/localtime", {st_mode=S_IFREG|0644, st_size=118, ...}) = 0 [pid 11674] clock_gettime(CLOCK_REALTIME, {1354058955, 141474018}) = 0 [pid 11674] clock_gettime(CLOCK_REALTIME, {1354058955, 141577456}) = 0 [pid 11674] clock_gettime(CLOCK_REALTIME, {1354058955, 143073982}) = 0 [pid 11674] poll([{fd=15, events=POLLIN|POLLPRI}], 1, 0) = 0 (Timeout) [pid 11674] write(15, "b\0\0\0\3SELECT `images`.* FROM `ima"..., 102) = 102 [pid 11674] read(15, "\1\0\0\1\0229\0\0\2\3def\23myappy_productio"..., 16384) = 2063 [pid 11674] clock_gettime(CLOCK_REALTIME, {1354058955, 144138035}) = 0 [pid 11674] stat("/etc/localtime", {st_mode=S_IFREG|0644, st_size=118, ...}) = 0 [pid 11674] stat("/etc/localtime", {st_mode=S_IFREG|0644, st_size=118, ...}) = 0 [pid 11674] stat("/etc/localtime", {st_mode=S_IFREG|0644, st_size=118, ...}) = 0 [pid 11674] stat("/etc/localtime", {st_mode=S_IFREG|0644, st_size=118, ...}) = 0 ... [pid 11674] stat("/etc/localtime", {st_mode=S_IFREG|0644, st_size=118, ...}) = 0 [pid 11674] stat("/etc/localtime", {st_mode=S_IFREG|0644, st_size=118, ...}) = 0 [pid 11674] stat("/etc/localtime", {st_mode=S_IFREG|0644, st_size=118, ...}) = 0 [pid 11674] stat("/etc/localtime", {st_mode=S_IFREG|0644, st_size=118, ...}) = 0 [pid 11674] clock_gettime(CLOCK_REALTIME, {1354058955, 154076443}) = 0 [pid 11674] clock_gettime(CLOCK_REALTIME, {1354058955, 154189429}) = 0 [pid 11674] clock_gettime(CLOCK_REALTIME, {1354058955, 157185700}) = 0 [pid 11674] clock_gettime(CLOCK_REALTIME, {1354058955, 157298770}) = 0 [pid 11674] clock_gettime(CLOCK_REALTIME, {1354058955, 165076003}) = 0 [pid 11674] clock_gettime(CLOCK_REALTIME, {1354058955, 165212572}) = 0 [pid 11674] clock_gettime(CLOCK_REALTIME, {1354058955, 167542679}) = 0 [pid 11674] clock_gettime(CLOCK_REALTIME, {1354058955, 167683436}) = 0 .... [pid 11674] clock_gettime(CLOCK_REALTIME, {1354060036, 62052248}) = 0 [pid 11674] clock_gettime(CLOCK_REALTIME, {1354060036, 62182486}) = 0 [pid 11674] clock_gettime(CLOCK_REALTIME, {1354060036, 62919948}) = 0 [pid 11674] clock_gettime(CLOCK_REALTIME, {1354060036, 63057266}) = 0 [pid 11674] clock_gettime(CLOCK_REALTIME, {1354060036, 63751707}) = 0 [pid 11674] clock_gettime(CLOCK_REALTIME, {1354060036, 73730686}) = 0 [pid 11674] clock_gettime(CLOCK_REALTIME, {1354060036, 75874687}) = 0 [pid 11674] clock_gettime(CLOCK_REALTIME, {1354060036, 76077133}) = 0 [pid 11674] clock_gettime(CLOCK_REALTIME, {1354060036, 78205019}) = 0 ... [pid 11674] clock_gettime(CLOCK_REALTIME, {1354060036, 89370879}) = 0 [pid 11674] clock_gettime(CLOCK_REALTIME, {1354060036, 89583247}) = 0 [pid 11674] clock_gettime(CLOCK_REALTIME, {1354060036, 91637614}) = 0 [pid 11674] clock_gettime(CLOCK_REALTIME, {1354060036, 91782149}) = 0 Have Google'd around and came across a number of suggestions which I've tried with no success. Things tried so far: Have tried setting time zone as recommended here Made no difference and issue still persists. Content of my /etc/localtime: TZif2UTCTZif2UTC UTC0 Have tried the recommended fix for the leapsecond bug: date -s 'date' No joy so far. I'm fresh out of ideas so any help/advice on how to diagnose or resolve would be greatly appreciated.

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  • Load average is have been high over some period

    - by user111196
    We have a dedicated MySQL server and below is the a snapshot of the top. The load average has been staying at nearly 100 for an hour plus ready. top - 20:54:28 up 7:31, 2 users, load average: 83.08, 96.88, 106.23 Tasks: 278 total, 2 running, 274 sleeping, 2 stopped, 0 zombie Cpu0 : 18.8%us, 10.2%sy, 0.0%ni, 70.9%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu1 : 51.2%us, 4.3%sy, 0.0%ni, 44.2%id, 0.0%wa, 0.0%hi, 0.3%si, 0.0%st Cpu2 : 9.0%us, 10.3%sy, 0.0%ni, 80.6%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu3 : 18.8%us, 7.4%sy, 0.0%ni, 73.8%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu4 : 7.8%us, 8.8%sy, 0.0%ni, 83.4%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu5 : 10.3%us, 8.4%sy, 0.0%ni, 81.4%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu6 : 6.2%us, 7.5%sy, 0.0%ni, 86.2%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu7 : 6.2%us, 6.2%sy, 0.0%ni, 87.3%id, 0.0%wa, 0.0%hi, 0.3%si, 0.0%st Cpu8 : 8.8%us, 10.4%sy, 0.0%ni, 80.5%id, 0.0%wa, 0.0%hi, 0.3%si, 0.0%st Cpu9 : 63.7%us, 4.6%sy, 0.0%ni, 12.2%id, 0.0%wa, 4.3%hi, 15.2%si, 0.0%st Cpu10 : 9.2%us, 10.2%sy, 0.0%ni, 80.6%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu11 : 17.3%us, 5.9%sy, 0.0%ni, 76.8%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu12 : 8.0%us, 8.7%sy, 0.0%ni, 83.3%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu13 : 10.9%us, 7.4%sy, 0.0%ni, 81.7%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu14 : 6.2%us, 6.9%sy, 0.0%ni, 86.9%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu15 : 4.8%us, 6.1%sy, 0.0%ni, 89.0%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Mem: 33009800k total, 23174396k used, 9835404k free, 120604k buffers Swap: 35061752k total, 0k used, 35061752k free, 16459540k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 3341 mysql 20 0 14.3g 4.6g 4240 S 417.8 14.5 1673:51 mysqld 24406 root 20 0 15008 1292 876 R 0.3 0.0 0:00.19 top 1 root 20 0 4080 852 608 S 0.0 0.0 0:01.92 init 2 root 15 -5 0 0 0 S 0.0 0.0 0:00.00 kthreadd 3 root RT -5 0 0 0 S 0.0 0.0 0:00.32 migration/0 4 root 15 -5 0 0 0 S 0.0 0.0 0:00.29 ksoftirqd/0 5 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/0 6 root RT -5 0 0 0 S 0.0 0.0 0:03.21 migration/1 7 root 15 -5 0 0 0 S 0.0 0.0 0:00.07 ksoftirqd/1 8 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/1 9 root RT -5 0 0 0 S 0.0 0.0 0:00.17 migration/2 10 root 15 -5 0 0 0 S 0.0 0.0 0:00.03 ksoftirqd/2 11 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/2 12 root RT -5 0 0 0 S 0.0 0.0 0:00.32 migration/3 13 root 15 -5 0 0 0 S 0.0 0.0 0:00.02 ksoftirqd/3 14 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/3 15 root RT -5 0 0 0 S 0.0 0.0 0:00.10 migration/4 16 root 15 -5 0 0 0 S 0.0 0.0 0:00.04 ksoftirqd/4 17 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/4 18 root RT -5 0 0 0 S 0.0 0.0 0:00.35 migration/5 We have also tried to run this command. What else command can help us diagnose the exact problem of this high load? netstat -nat |grep 3306 | awk '{print $6}' | sort | uniq -c | sort -n 1 LISTEN 1 SYN_RECV 410 ESTABLISHED 964 TIME_WAIT Output of vmstat 1: ---------------memory--------------- --swap-- --io-- --system-- -----cpu------ r b swpd free buff cache si so bi bo in cs us sy id wa st 2 0 0 12978936 30944 15172360 0 0 259 3 184 265 6 6 77 12 0

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  • BizTalk host throttling &ndash; Singleton pattern and High database size

    - by S.E.R.
    Originally posted on: http://geekswithblogs.net/SERivas/archive/2013/06/30/biztalk-host-throttling-ndash-singleton-pattern-and-high-database-size.aspxI have worked for some days around the singleton pattern (for those unfamiliar with it, read this post by Victor Fehlberg) and have come across a few very interesting posts, among which one dealt with performance issues (here, also by Victor Fehlberg). Simply put: if you have an orchestration which implements the singleton pattern, then performances will continuously decrease as the orchestration receives and consumes messages, and that behavior is more obvious when the orchestration never ends (ie : it keeps looping and never terminates or completes). As I experienced the same kind of problem (actually I was alerted by SCOM, which told me that the host was being throttled because of High database size), I thought it would be a good idea to dig a little bit a see what happens deep inside BizTalk and thus understand the reasons for this behavior. NOTE: in this article, I will focus on this High database size throttling condition. I will try and work on the other conditions in some not too distant future… Test conditions The singleton orchestration For the purpose of this study, I have created the following orchestration, which is a very basic implementation of a singleton that piles up incoming messages, then does something else when a certain timeout has been reached without receiving another message: Throttling settings I have two distinct hosts : one that hosts the receive port (basic FILE port) : Ports_ReceiveHostone that hosts the orchestration : ProcessingHost In order to emphasize the throttling mechanism, I have modified the throttling settings for each of these hosts are as follows (all other parameters are set to the default value): [Throttling thresholds] Message count in database: 500 (default value : 50000) Evolution of performance counters when submitting messages Since we are investigating the High database size throttling condition, here are the performance counter that we should take a look at (all of them are in the BizTalk:Message Agent performance object): Database sizeHigh database sizeMessage delivery throttling stateMessage publishing throttling stateMessage delivery delay (ms)Message publishing delay (ms)Message delivery throttling state durationMessage publishing throttling state duration (If you are not used to Perfmon, I strongly recommend that you start using it right now: it is a wonderful tool that allows you to open the hood and see what is going on inside BizTalk – and other systems) Database size It is quite obvious that we will start by watching the database size and high database size counters, just to see when the first reaches the configured threshold (500) and when the second rings the alarm. NOTE : During this test I submitted 600 messages, one message at a time every 10ms to see the evolution of the counters we have previously selected. It might not show very well on this screenshot, but here is what happened: From 15:46:50 to 15:47:50, the database size for the Ports_ReceiveHost host (blue line) kept growing until it reached a maximum of 504.At 15:47:50, the high database size alert fires At first I was surprised by this result: why is it the database size of the receiving host that keeps growing since it is the processing host that piles up messages? Actually, it makes total sense. This counter measures the size of the database queue that is being filled by the host, not consumed. Therefore, the high database size alert is raised on the host that fills the queue: Ports_ReceiveHost. More information is available on the Public MPWiki page. Now, looking at the Message publishing throttling state for the receiving host (green line), we can see that a throttling condition has been reached at 15:47:50: We can also see that the Message publishing delay(ms) (blue line) has begun growing slowly from this point. All of this explains why performances keep decreasing when a singleton keeps processing new messages: the database size grows and when it has exceeded the Message count in database threshold, the host is throttled and the publishing delay keeps increasing. Digging further So, what happens to the database queue then? Is it flushed some day or does it keep growing and growing indefinitely? The real question being: will the host be throttled forever because of this singleton? To answer this question, I set the Message count in database threshold to 20 (this value is very low in order not to wait for too long, otherwise I certainly would have fallen asleep in front of my screen) and I submitted 30 messages. The test was started at 18:26. At 18:56 (ie : exactly 30min later) the throttling was stopped and the database size was divided by 2. 30 min later again, the database size had dropped to almost zero: I guess I’ll have to find some documentation and do some more testing before I sort this out! My guess is that some maintenance job is at work here, though I cannot tell which one Digging even further If we take a look at the Message delivery throttling state counter for the processing host, we can see that this host was also throttled during the submission of the 600 documents: The value for the counter was 1, meaning that Message delivery incoming rate for the host instance exceeds the Message delivery outgoing rate * the specified Rate overdrive factor (percent) value. We will see this another day… :) A last word Let’s end this article with a warning: DO NOT CHANGE THE THROTTLING SETTINGS LIGHTLY! The temptation can be great to just bypass throttling by setting very high values for each parameter (or zero in some cases, which simply disables throttling). Nevertheless, always keep in mind that this mechanism is here for a very good reason: prevent your BizTalk infrastructure from exploding!! So whatever you do with those settings, do a lot of testing and benchmarking!

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  • What are some reputable merchant account providers for high risk payment web sites?

    - by GregH
    I am helping to set up an online cigar web site. However, it has become a real pain to take payments online since tobacco is considered a "high-risk" item and nobody will provide a merchant account to process the payments. It looks like there are companies that specialize in high-risk merchant accounts. I was wondering if anybody could recommend a high-risk merchant account and payment processing provider?

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  • How Do Top Performing High Tech Companies Measure Online Marketing Success?

    - by Charles Knapp
    You might expect a focus on Net Promoter scores, open rates, and click metrics. The real answers from top performers may surprise you. I've been working for a few months with Aberdeen Group and colleagues from IBM and Oracle to survey high technology firms worldwide on best practices in marketing and channel sales effectiveness.  Now, we will share the results of our original customer research in a new white paper and webcast. Register today to learn how leading High Tech companies are increasing their Return on Marketing Investment (ROMI) and growing channel sales revenue. Discover how top performing high tech companies manage and use customer data, measure marketing spend effectiveness, and support internal and channel sales. Learn how best in class high tech companies use enterprise data throughout their customer lifecycle -- messaging to leads, selling to prospects, and serving customers. Our speakers will be: Peter Ostrow, Research Director - Sales Effectiveness, Aberdeen Group David Lasher, Global Business Services Partner, IBM Jonathan Oomrigar, Vice President, Global High Technology Business Unit, Oracle Reserve your place now! This global webinar is on Tuesday, November 15, 10-11 am PST / 1-2 pm EST / 6-7 GMT / 7-8 CET

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