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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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• How do I extract the values from this data using bash and awk?

  - by ben Rod

  I grepped these, how do I extract the values? ... cavity_2mgl_wt_strip57001.out: Total cavity volume (A3) : ( 1.240E+01) cavity_2mgl_wt_strip58001.out: Total cavity volume (A3) : ( 2.408E+00) cavity_2mgl_wt_strip60001.out: Total cavity volume (A3) : ( 4.935E+00) cavity_2mgl_wt_strip61001.out: Total cavity volume (A3) : ( 1.319E+00) cavity_2mgl_wt_strip63001.out: Total cavity volume (A3) : ( 1.532E-01) cavity_2mgl_wt_strip64001.out: Total cavity volume (A3) : ( 1.137E+01) ... and I need the index # in the filename in bold: cavity_2mgl_wt_strip76001.out: Total cavity volume (A3) : ( 1.276E+01) and I need the number in the parenthesis cavity_2mgl_wt_strip76001.out: Total cavity volume (A3) : ( **1.276E+01**)

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• What is causing the unusual high load average?

  - by James

  I noticed on Tuesday night of last week, the load average went up sharply and it seemed abnormal since the traffic is small. Usually, the numbers usually average around .40 or lower and my server stuff (mysql, php and apache) are optimized. I noticed that the IOWait is unusually high even though the processes is barely using any CPU. top - 01:44:39 up 1 day, 21:13, 1 user, load average: 1.41, 1.09, 0.86 Tasks: 60 total, 1 running, 59 sleeping, 0 stopped, 0 zombie Cpu0 : 0.0%us, 0.0%sy, 0.0%ni,100.0%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu1 : 0.0%us, 0.0%sy, 0.0%ni,100.0%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu2 : 0.0%us, 0.3%sy, 0.0%ni, 99.7%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu3 : 0.0%us, 0.0%sy, 0.0%ni,100.0%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu4 : 0.0%us, 0.0%sy, 0.0%ni,100.0%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu5 : 0.0%us, 0.0%sy, 0.0%ni,100.0%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu6 : 0.0%us, 0.0%sy, 0.0%ni,100.0%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu7 : 0.0%us, 0.0%sy, 0.0%ni, 91.5%id, 8.5%wa, 0.0%hi, 0.0%si, 0.0%st Mem: 1048576k total, 331944k used, 716632k free, 0k buffers Swap: 0k total, 0k used, 0k free, 0k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 1 root 15 0 2468 1376 1140 S 0 0.1 0:00.92 init 1656 root 15 0 13652 5212 664 S 0 0.5 0:00.00 apache2 9323 root 18 0 13652 5212 664 S 0 0.5 0:00.00 apache2 10079 root 18 0 3972 1248 972 S 0 0.1 0:00.00 su 10080 root 15 0 4612 1956 1448 S 0 0.2 0:00.01 bash 11298 root 15 0 13652 5212 664 S 0 0.5 0:00.00 apache2 11778 chikorit 15 0 2344 1092 884 S 0 0.1 0:00.05 top 15384 root 18 0 17544 13m 1568 S 0 1.3 0:02.28 miniserv.pl 15585 root 15 0 8280 2736 2168 S 0 0.3 0:00.02 sshd 15608 chikorit 15 0 8280 1436 860 S 0 0.1 0:00.02 sshd Here is the VMStat procs -----------memory---------- ---swap-- -----io---- -system-- ----cpu---- r b swpd free buff cache si so bi bo in cs us sy id wa 1 0 0 768644 0 0 0 0 14 23 0 10 1 0 99 0 IOStat - Nothing unusal Total DISK READ: 67.13 K/s | Total DISK WRITE: 0.00 B/s TID PRIO USER DISK READ DISK WRITE SWAPIN IO COMMAND 19496 be/4 chikorit 11.85 K/s 0.00 B/s 0.00 % 0.00 % apache2 -k start 19501 be/4 mysql 3.95 K/s 0.00 B/s 0.00 % 0.00 % mysqld 19568 be/4 chikorit 11.85 K/s 0.00 B/s 0.00 % 0.00 % apache2 -k start 19569 be/4 chikorit 11.85 K/s 0.00 B/s 0.00 % 0.00 % apache2 -k start 19570 be/4 chikorit 11.85 K/s 0.00 B/s 0.00 % 0.00 % apache2 -k start 19571 be/4 chikorit 7.90 K/s 0.00 B/s 0.00 % 0.00 % apache2 -k start 19573 be/4 chikorit 7.90 K/s 0.00 B/s 0.00 % 0.00 % apache2 -k start 1 be/4 root 0.00 B/s 0.00 B/s 0.00 % 0.00 % init 11778 be/4 chikorit 0.00 B/s 0.00 B/s 0.00 % 0.00 % top 19470 be/4 mysql 0.00 B/s 0.00 B/s 0.00 % 0.00 % mysqld Load Average Chart - http://i.stack.imgur.com/kYsD0.png I want to be sure if this is not a MySQL problem before making sure. Also, this is a Ubuntu 10.04 LTS Server on OpenVZ. Edit: This will probably give a good picture on the IO Wait top - 22:12:22 up 17:41, 1 user, load average: 1.10, 1.09, 0.93 Tasks: 33 total, 1 running, 32 sleeping, 0 stopped, 0 zombie Cpu(s): 0.6%us, 0.2%sy, 0.0%ni, 89.0%id, 10.1%wa, 0.0%hi, 0.0%si, 0.0%st Mem: 1048576k total, 260708k used, 787868k free, 0k buffers Swap: 0k total, 0k used, 0k free, 0k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 1 root 15 0 2468 1376 1140 S 0 0.1 0:00.88 init 5849 root 15 0 12336 4028 668 S 0 0.4 0:00.00 apache2 8063 root 15 0 12336 4028 668 S 0 0.4 0:00.00 apache2 9732 root 16 0 8280 2728 2168 S 0 0.3 0:00.02 sshd 9746 chikorit 18 0 8412 1444 864 S 0 0.1 0:01.10 sshd 9747 chikorit 18 0 4576 1960 1488 S 0 0.2 0:00.24 bash 13706 chikorit 15 0 2344 1088 884 R 0 0.1 0:00.03 top 15745 chikorit 15 0 12968 5108 1280 S 0 0.5 0:00.00 apache2 15751 chikorit 15 0 72184 25m 18m S 0 2.5 0:00.37 php5-fpm 15790 chikorit 18 0 12472 4640 1192 S 0 0.4 0:00.00 apache2 15797 chikorit 15 0 72888 23m 16m S 0 2.3 0:00.06 php5-fpm 16038 root 15 0 67772 2848 592 D 0 0.3 0:00.00 php5-fpm 16309 syslog 18 0 24084 1316 992 S 0 0.1 0:00.07 rsyslogd 16316 root 15 0 5472 908 500 S 0 0.1 0:00.00 sshd 16326 root 15 0 2304 908 712 S 0 0.1 0:00.02 cron 17464 root 15 0 10252 7560 856 D 0 0.7 0:01.88 psad 17466 root 18 0 1684 276 208 S 0 0.0 0:00.31 psadwatchd 17559 root 18 0 11444 2020 732 S 0 0.2 0:00.47 sendmail-mta 17688 root 15 0 10252 5388 1136 S 0 0.5 0:03.81 python 17752 teamspea 19 0 44648 7308 4676 S 0 0.7 1:09.70 ts3server_linux 18098 root 15 0 12336 6380 3032 S 0 0.6 0:00.47 apache2 18099 chikorit 18 0 10368 2536 464 S 0 0.2 0:00.00 apache2 18120 ntp 15 0 4336 1316 984 S 0 0.1 0:00.87 ntpd 18379 root 15 0 12336 4028 668 S 0 0.4 0:00.00 apache2 18387 mysql 15 0 62796 36m 5864 S 0 3.6 1:43.26 mysqld 19584 root 15 0 12336 4028 668 S 0 0.4 0:00.02 apache2 22498 root 16 0 12336 4028 668 S 0 0.4 0:00.00 apache2 24260 root 15 0 67772 3612 1356 S 0 0.3 0:00.22 php5-fpm 27712 root 15 0 12336 4028 668 S 0 0.4 0:00.00 apache2 27730 root 15 0 12336 4028 668 S 0 0.4 0:00.00 apache2 30343 root 15 0 12336 4028 668 S 0 0.4 0:00.00 apache2 30366 root 15 0 12336 4028 668 S 0 0.4 0:00.00 apache2 This is the free ram as of today. total used free shared buffers cached Mem: 1024 302 721 0 0 0 -/+ buffers/cache: 302 721 Swap: 0 0 0 Update: Looking into the logs, particularly the PHP5-FPM, which is causing the CPU spike. I found that its segment faulting for some apparent reason. [03-Jun-2012 06:11:20] NOTICE: [pool www] child 14132 started [03-Jun-2012 06:11:25] WARNING: [pool www] child 13664 exited on signal 11 (SIGSEGV) after 53.686322 seconds from start [03-Jun-2012 06:11:25] NOTICE: [pool www] child 14328 started [03-Jun-2012 06:11:25] WARNING: [pool www] child 14132 exited on signal 11 (SIGSEGV) after 4.708681 seconds from start [03-Jun-2012 06:11:25] NOTICE: [pool www] child 14329 started [03-Jun-2012 06:11:58] WARNING: [pool www] child 14328 exited on signal 11 (SIGSEGV) after 32.981228 seconds from start [03-Jun-2012 06:11:58] NOTICE: [pool www] child 15745 started [03-Jun-2012 06:12:25] WARNING: [pool www] child 15745 exited on signal 11 (SIGSEGV) after 27.442864 seconds from start [03-Jun-2012 06:12:25] NOTICE: [pool www] child 17446 started [03-Jun-2012 06:12:25] WARNING: [pool www] child 14329 exited on signal 11 (SIGSEGV) after 60.411278 seconds from start [03-Jun-2012 06:12:25] NOTICE: [pool www] child 17447 started [03-Jun-2012 06:13:02] WARNING: [pool www] child 17446 exited on signal 11 (SIGSEGV) after 36.746793 seconds from start [03-Jun-2012 06:13:02] NOTICE: [pool www] child 18133 started [03-Jun-2012 06:13:48] WARNING: [pool www] child 17447 exited on signal 11 (SIGSEGV) after 82.710107 seconds from start I'm thinking that this might be causing the problem. If that is the cause, probably switching it off that to fastcgi/fcgid might resolve it... but still, I want to see if something else might be causing it to do this.

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• High memory usage on the server - can't determine the process

  - by HTF

  I've noticed high memory usage on the server. Details: OS: CentOS 6.3 - x86_64 Web server: Nginx with PHP-FPM The server is generating PDF documents so the traffic is minimum. top: # top -b -n 1 -a top - 10:04:51 up 21 days, 18:57, 1 user, load average: 0.00, 0.00, 0.00 Tasks: 92 total, 1 running, 91 sleeping, 0 stopped, 0 zombie Cpu(s): 0.3%us, 0.2%sy, 0.0%ni, 99.6%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Mem: 3923092k total, 3720380k used, 202712k free, 133904k buffers Swap: 4194296k total, 12k used, 4194284k free, 147404k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 15855 www-data 20 0 199m 4952 2128 S 0.0 0.1 0:00.06 php-fpm 15853 www-data 20 0 199m 4940 2028 S 0.0 0.1 0:00.06 php-fpm 15850 www-data 20 0 199m 4928 2020 S 0.0 0.1 0:00.05 php-fpm 15851 www-data 20 0 199m 4888 2020 S 0.0 0.1 0:00.06 php-fpm 15852 www-data 20 0 199m 4852 2020 S 0.0 0.1 0:00.06 php-fpm 15857 www-data 20 0 198m 4716 2020 S 0.0 0.1 0:00.06 php-fpm 17553 root 20 0 97816 3860 2924 S 0.0 0.1 0:00.03 sshd 15849 root 20 0 198m 3460 1072 S 0.0 0.1 0:00.12 php-fpm 13441 nginx 20 0 65608 2968 1604 S 0.0 0.1 0:02.06 nginx 13440 nginx 20 0 65608 2964 1600 S 0.0 0.1 0:01.87 nginx 17561 root 20 0 105m 1944 1488 S 0.0 0.0 0:00.01 bash 1150 xfs 20 0 20980 1784 704 S 0.0 0.0 0:00.13 xfs 15863 root 20 0 179m 1424 1028 S 0.0 0.0 0:00.00 rsyslogd 1 root 20 0 19224 1360 1088 S 0.0 0.0 0:17.96 init 1201 nrpe 20 0 40928 1288 704 S 0.0 0.0 3:57.64 nrpe 13226 root 20 0 114m 1216 612 S 0.0 0.0 0:00.01 crond 6691 root 20 0 64068 1156 488 S 0.0 0.0 0:09.59 sshd 13439 root 20 0 65104 1128 292 S 0.0 0.0 0:00.00 nginx 19026 root 20 0 15040 1116 844 R 0.0 0.0 0:00.00 top 451 root 16 -4 11052 1096 316 S 0.0 0.0 0:00.02 udevd 1174 root 18 -2 11048 1064 288 S 0.0 0.0 0:00.00 udevd 1175 root 18 -2 11048 1064 288 S 0.0 0.0 0:00.00 udevd 1065 root 16 -4 93168 824 560 S 0.0 0.0 0:16.00 auditd 1165 root 20 0 4056 564 480 S 0.0 0.0 0:00.00 mingetty 1167 root 20 0 4056 564 480 S 0.0 0.0 0:00.00 mingetty 1169 root 20 0 4056 564 480 S 0.0 0.0 0:00.00 mingetty 1171 root 20 0 4056 564 480 S 0.0 0.0 0:00.00 mingetty 1163 root 20 0 4056 560 480 S 0.0 0.0 0:00.00 mingetty 1176 root 20 0 4056 560 480 S 0.0 0.0 0:00.00 mingetty 2 root 20 0 0 0 0 S 0.0 0.0 0:00.00 kthreadd 3 root RT 0 0 0 0 S 0.0 0.0 0:11.75 migration/0 4 root 20 0 0 0 0 S 0.0 0.0 44:30.28 ksoftirqd/0 5 root RT 0 0 0 0 S 0.0 0.0 0:00.00 migration/0 6 root RT 0 0 0 0 S 0.0 0.0 0:03.51 watchdog/0 7 root RT 0 0 0 0 S 0.0 0.0 0:11.63 migration/1 8 root RT 0 0 0 0 S 0.0 0.0 0:00.00 migration/1 9 root 20 0 0 0 0 S 0.0 0.0 11:35.50 ksoftirqd/1 10 root RT 0 0 0 0 S 0.0 0.0 0:03.34 watchdog/1 11 root 20 0 0 0 0 S 0.0 0.0 1:36.68 events/0 12 root 20 0 0 0 0 S 0.0 0.0 1:50.57 events/1 13 root 20 0 0 0 0 S 0.0 0.0 0:00.00 cgroup 14 root 20 0 0 0 0 S 0.0 0.0 0:00.00 khelper 15 root 20 0 0 0 0 S 0.0 0.0 0:00.00 netns 16 root 20 0 0 0 0 S 0.0 0.0 0:00.00 async/mgr 17 root 20 0 0 0 0 S 0.0 0.0 0:00.00 pm 18 root 20 0 0 0 0 S 0.0 0.0 0:07.86 sync_supers 19 root 20 0 0 0 0 S 0.0 0.0 0:10.38 bdi-default 20 root 20 0 0 0 0 S 0.0 0.0 0:00.00 kintegrityd/0 21 root 20 0 0 0 0 S 0.0 0.0 0:00.00 kintegrityd/1 22 root 20 0 0 0 0 S 0.0 0.0 0:04.35 kblockd/0 23 root 20 0 0 0 0 S 0.0 0.0 0:04.18 kblockd/1 24 root 20 0 0 0 0 S 0.0 0.0 0:00.00 kacpid 25 root 20 0 0 0 0 S 0.0 0.0 0:00.00 kacpi_notify 26 root 20 0 0 0 0 S 0.0 0.0 0:00.00 kacpi_hotplug 27 root 20 0 0 0 0 S 0.0 0.0 0:00.00 ata/0 28 root 20 0 0 0 0 S 0.0 0.0 0:00.00 ata/1 29 root 20 0 0 0 0 S 0.0 0.0 0:00.00 ata_aux 30 root 20 0 0 0 0 S 0.0 0.0 0:00.00 ksuspend_usbd 31 root 20 0 0 0 0 S 0.0 0.0 0:00.00 khubd 32 root 20 0 0 0 0 S 0.0 0.0 0:00.00 kseriod 33 root 20 0 0 0 0 S 0.0 0.0 0:00.00 md/0 34 root 20 0 0 0 0 S 0.0 0.0 0:00.00 md/1 35 root 20 0 0 0 0 S 0.0 0.0 0:00.00 md_misc/0 36 root 20 0 0 0 0 S 0.0 0.0 0:00.00 md_misc/1 37 root 20 0 0 0 0 S 0.0 0.0 0:00.48 khungtaskd 38 root 20 0 0 0 0 S 0.0 0.0 1:07.52 kswapd0 39 root 25 5 0 0 0 S 0.0 0.0 0:00.00 ksmd 40 root 39 19 0 0 0 S 0.0 0.0 0:22.00 khugepaged 41 root 20 0 0 0 0 S 0.0 0.0 0:00.00 aio/0 42 root 20 0 0 0 0 S 0.0 0.0 0:00.00 aio/1 43 root 20 0 0 0 0 S 0.0 0.0 0:00.00 crypto/0 44 root 20 0 0 0 0 S 0.0 0.0 0:00.00 crypto/1 49 root 20 0 0 0 0 S 0.0 0.0 0:00.00 kthrotld/0 50 root 20 0 0 0 0 S 0.0 0.0 0:00.00 kthrotld/1 52 root 20 0 0 0 0 S 0.0 0.0 0:00.00 kpsmoused 53 root 20 0 0 0 0 S 0.0 0.0 0:00.00 usbhid_resumer 83 root 20 0 0 0 0 S 0.0 0.0 0:00.00 kstriped 233 root 20 0 0 0 0 S 0.0 0.0 0:00.00 scsi_eh_0 234 root 20 0 0 0 0 S 0.0 0.0 0:00.00 scsi_eh_1 321 root 20 0 0 0 0 S 0.0 0.0 0:00.00 virtio-blk 359 root 20 0 0 0 0 S 0.0 0.0 0:03.24 kdmflush 360 root 20 0 0 0 0 S 0.0 0.0 0:00.00 kdmflush 380 root 20 0 0 0 0 S 0.0 0.0 0:20.64 jbd2/dm-0-8 381 root 20 0 0 0 0 S 0.0 0.0 0:00.00 ext4-dio-unwrit 382 root 20 0 0 0 0 S 0.0 0.0 0:00.00 ext4-dio-unwrit 694 root 20 0 0 0 0 S 0.0 0.0 0:00.00 vballoon 697 root 20 0 0 0 0 S 0.0 0.0 0:00.00 virtio-net 818 root 20 0 0 0 0 S 0.0 0.0 0:00.00 jbd2/vda1-8 819 root 20 0 0 0 0 S 0.0 0.0 0:00.00 ext4-dio-unwrit 820 root 20 0 0 0 0 S 0.0 0.0 0:00.00 ext4-dio-unwrit 851 root 20 0 0 0 0 S 0.0 0.0 0:06.96 kauditd 1013 root 20 0 0 0 0 S 0.0 0.0 0:15.45 flush-253:0 ps: # ps aux --sort -vsz | head USER PID %CPU %MEM VSZ RSS TTY STAT START TIME COMMAND www-data 13213 0.0 0.1 204416 4772 ? S 08:28 0:00 php-fpm: pool default www-data 13214 0.0 0.1 204416 4776 ? S 08:28 0:00 php-fpm: pool default www-data 13215 0.0 0.1 204416 4832 ? S 08:28 0:00 php-fpm: pool default www-data 13216 0.0 0.1 204416 4776 ? S 08:28 0:00 php-fpm: pool default www-data 13218 0.0 0.1 204416 4956 ? S 08:28 0:00 php-fpm: pool default free: #free -m total used free shared buffers cached Mem: 3831 3530 300 0 130 143 -/+ buffers/cache: 3256 574 Swap: 4095 0 4095 When I stooped Nginx, PHP-FPM the memory usage was still the same. Could you help me to investigate what is consuming the memory on the system? Regards

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• Heartbeat (Linux HA) and NetApp?

  - by Drew

  Does anyone have any experience setting up a high availability two node Linux cluster using heartbeat (linux-ha.org) and NetApp storage (preferably using SnapDrive for Linux)? Basically I would like to mount the same NetApp LUN over Fibre Channel to two servers in an Active/Passive mode (only one server can access the LUN at a time) Thanks!

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• httpd high cpu usage slowing down server response

  - by max

  my client has a image sharing website with about 100.000 visitor per day it has been slowed down considerably since this morning when i checked processes i've notice high cpu usage from http .... some has suggested ddos attack ... i'm not a webmaster and i've no idea whts going on top top - 20:13:30 up 5:04, 4 users, load average: 4.56, 4.69, 4.59 Tasks: 284 total, 3 running, 281 sleeping, 0 stopped, 0 zombie Cpu(s): 12.1%us, 0.9%sy, 1.7%ni, 69.0%id, 16.4%wa, 0.0%hi, 0.0%si, 0.0%st Mem: 16037152k total, 15875096k used, 162056k free, 360468k buffers Swap: 4194288k total, 888k used, 4193400k free, 14050008k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 4151 apache 20 0 277m 84m 3784 R 50.2 0.5 0:01.98 httpd 4115 apache 20 0 210m 16m 4480 S 18.3 0.1 0:00.60 httpd 12885 root 39 19 4296 692 308 S 13.0 0.0 11:09.53 gzip 4177 apache 20 0 214m 20m 3700 R 12.3 0.1 0:00.37 httpd 2219 mysql 20 0 4257m 198m 5668 S 11.0 1.3 42:49.70 mysqld 3691 apache 20 0 206m 14m 6416 S 1.7 0.1 0:03.38 httpd 3934 apache 20 0 211m 17m 4836 S 1.0 0.1 0:03.61 httpd 4098 apache 20 0 209m 17m 3912 S 1.0 0.1 0:04.17 httpd 4116 apache 20 0 211m 17m 4476 S 1.0 0.1 0:00.43 httpd 3867 apache 20 0 217m 23m 4672 S 0.7 0.1 1:03.87 httpd 4146 apache 20 0 209m 15m 3628 S 0.7 0.1 0:00.02 httpd 4149 apache 20 0 209m 15m 3616 S 0.7 0.1 0:00.02 httpd 12884 root 39 19 22336 2356 944 D 0.7 0.0 0:19.21 tar 4054 apache 20 0 206m 12m 4576 S 0.3 0.1 0:00.32 httpd another top top - 15:46:45 up 5:08, 4 users, load average: 5.02, 4.81, 4.64 Tasks: 288 total, 6 running, 281 sleeping, 0 stopped, 1 zombie Cpu(s): 18.4%us, 0.9%sy, 2.3%ni, 56.5%id, 21.8%wa, 0.0%hi, 0.0%si, 0.0%st Mem: 16037152k total, 15792196k used, 244956k free, 360924k buffers Swap: 4194288k total, 888k used, 4193400k free, 13983368k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 4622 apache 20 0 209m 16m 3868 S 54.2 0.1 0:03.99 httpd 4514 apache 20 0 213m 20m 3924 R 50.8 0.1 0:04.93 httpd 4627 apache 20 0 221m 27m 4560 R 18.9 0.2 0:01.20 httpd 12885 root 39 19 4296 692 308 S 18.9 0.0 11:51.79 gzip 2219 mysql 20 0 4257m 199m 5668 S 18.3 1.3 43:19.04 mysqld 4512 apache 20 0 227m 33m 4736 R 5.6 0.2 0:01.93 httpd 4520 apache 20 0 213m 19m 4640 S 1.3 0.1 0:01.48 httpd 4590 apache 20 0 212m 19m 3932 S 1.3 0.1 0:00.06 httpd 4573 apache 20 0 210m 16m 3556 R 1.0 0.1 0:00.03 httpd 4562 root 20 0 15164 1388 952 R 0.7 0.0 0:00.08 top 98 root 20 0 0 0 0 S 0.3 0.0 0:04.89 kswapd0 100 root 39 19 0 0 0 S 0.3 0.0 0:02.85 khugepaged 4579 apache 20 0 209m 16m 3900 S 0.3 0.1 0:00.83 httpd 4637 apache 20 0 209m 15m 3668 S 0.3 0.1 0:00.03 httpd ps aux [root@server ~]# ps aux | grep httpd root 2236 0.0 0.0 207524 10124 ? Ss 15:09 0:03 /usr/sbin/http d -k start -DSSL apache 3087 2.7 0.1 226968 28232 ? S 20:04 0:06 /usr/sbin/http d -k start -DSSL apache 3170 2.6 0.1 221296 22292 ? R 20:05 0:05 /usr/sbin/http d -k start -DSSL apache 3171 9.0 0.1 225044 26768 ? R 20:05 0:17 /usr/sbin/http d -k start -DSSL apache 3188 1.5 0.1 223644 24724 ? S 20:05 0:03 /usr/sbin/http d -k start -DSSL apache 3197 2.3 0.1 215908 17520 ? S 20:05 0:04 /usr/sbin/http d -k start -DSSL apache 3198 1.1 0.0 211700 13000 ? S 20:05 0:02 /usr/sbin/http d -k start -DSSL apache 3272 2.4 0.1 219960 21540 ? S 20:06 0:03 /usr/sbin/http d -k start -DSSL apache 3273 2.0 0.0 211600 12804 ? S 20:06 0:03 /usr/sbin/http d -k start -DSSL apache 3279 3.7 0.1 229024 29900 ? S 20:06 0:05 /usr/sbin/http d -k start -DSSL apache 3280 1.2 0.0 0 0 ? Z 20:06 0:01 [httpd] <defun ct> apache 3285 2.9 0.1 218532 21604 ? S 20:06 0:04 /usr/sbin/http d -k start -DSSL apache 3287 30.5 0.4 265084 65948 ? R 20:06 0:43 /usr/sbin/http d -k start -DSSL apache 3297 1.9 0.1 216068 17332 ? S 20:06 0:02 /usr/sbin/http d -k start -DSSL apache 3342 2.7 0.1 216716 17828 ? S 20:06 0:03 /usr/sbin/http d -k start -DSSL apache 3356 1.6 0.1 217244 18296 ? S 20:07 0:01 /usr/sbin/http d -k start -DSSL apache 3365 6.4 0.1 226044 27428 ? S 20:07 0:06 /usr/sbin/http d -k start -DSSL apache 3396 0.0 0.1 213844 16120 ? S 20:07 0:00 /usr/sbin/http d -k start -DSSL apache 3399 5.8 0.1 215664 16772 ? S 20:07 0:05 /usr/sbin/http d -k start -DSSL apache 3422 0.7 0.1 214860 17380 ? S 20:07 0:00 /usr/sbin/http d -k start -DSSL apache 3435 3.3 0.1 216220 17460 ? S 20:07 0:02 /usr/sbin/http d -k start -DSSL apache 3463 0.1 0.0 212732 15076 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3492 0.0 0.0 207660 7552 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3493 1.4 0.1 218092 19188 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3500 1.9 0.1 224204 26100 ? R 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3501 1.7 0.1 216916 17916 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3502 0.0 0.0 207796 7732 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3505 0.0 0.0 207660 7548 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3529 0.0 0.0 207660 7524 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3531 4.0 0.1 216180 17280 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3532 0.0 0.0 207656 7464 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3543 1.4 0.1 217088 18648 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3544 0.0 0.0 207656 7548 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3545 0.0 0.0 207656 7560 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3546 0.0 0.0 207660 7540 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3547 0.0 0.0 207660 7544 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3548 2.3 0.1 216904 17888 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3550 0.0 0.0 207660 7540 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3551 0.0 0.0 207660 7536 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3552 0.2 0.0 214104 15972 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3553 6.5 0.1 216740 17712 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3554 6.3 0.1 216156 17260 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3555 0.0 0.0 207796 7716 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3556 1.8 0.0 211588 12580 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3557 0.0 0.0 207660 7544 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3565 0.0 0.0 207660 7520 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3570 0.0 0.0 207660 7516 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3571 0.0 0.0 207660 7504 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL root 3577 0.0 0.0 103316 860 pts/2 S+ 20:08 0:00 grep httpd httpd error log [Mon Jul 01 18:53:38 2013] [error] [client 2.178.12.67] request failed: error reading the headers, referer: http://akstube.com/image/show/27023/%D9%86%DB%8C%D9%88%D8%B4%D8%A7-%D8%B6%DB%8C%D8%BA%D9%85%DB%8C-%D9%88-%D8%AE%D9%88%D8%A7%D9%87%D8%B1-%D9%88-%D9%87%D9%85%D8%B3%D8%B1%D8%B4 [Mon Jul 01 18:55:33 2013] [error] [client 91.229.215.240] request failed: error reading the headers, referer: http://akstube.com/image/show/44924 [Mon Jul 01 18:57:02 2013] [error] [client 2.178.12.67] Invalid method in request [Mon Jul 01 18:57:02 2013] [error] [client 2.178.12.67] File does not exist: /var/www/html/501.shtml [Mon Jul 01 19:21:36 2013] [error] [client 127.0.0.1] client denied by server configuration: /var/www/html/server-status [Mon Jul 01 19:21:36 2013] [error] [client 127.0.0.1] File does not exist: /var/www/html/403.shtml [Mon Jul 01 19:23:57 2013] [error] [client 151.242.14.31] request failed: error reading the headers [Mon Jul 01 19:37:16 2013] [error] [client 2.190.16.65] request failed: error reading the headers [Mon Jul 01 19:56:00 2013] [error] [client 151.242.14.31] request failed: error reading the headers Not a JPEG file: starts with 0x89 0x50 also there is lots of these in the messages log Jul 1 20:15:47 server named[2426]: client 203.88.6.9#11926: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 20:15:47 server named[2426]: client 203.88.6.9#26255: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 20:15:48 server named[2426]: client 203.88.6.9#20093: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 20:15:48 server named[2426]: client 203.88.6.9#8672: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:07 server named[2426]: client 203.88.6.9#39352: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:08 server named[2426]: client 203.88.6.9#25382: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:08 server named[2426]: client 203.88.6.9#9064: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:09 server named[2426]: client 203.88.23.9#35375: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:45:09 server named[2426]: client 203.88.6.9#61932: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:09 server named[2426]: client 203.88.23.9#4423: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:45:09 server named[2426]: client 203.88.6.9#40229: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:14 server named[2426]: client 203.88.23.9#46128: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:45:14 server named[2426]: client 203.88.6.10#62128: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:14 server named[2426]: client 203.88.23.9#35240: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:45:14 server named[2426]: client 203.88.6.10#36774: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:14 server named[2426]: client 203.88.23.9#28361: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:45:14 server named[2426]: client 203.88.6.10#14970: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:14 server named[2426]: client 203.88.23.9#20216: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:14 server named[2426]: client 203.88.23.10#31794: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:45:14 server named[2426]: client 203.88.23.9#23042: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:14 server named[2426]: client 203.88.6.10#11333: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:14 server named[2426]: client 203.88.23.10#41807: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:45:14 server named[2426]: client 203.88.23.9#20092: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:14 server named[2426]: client 203.88.6.10#43526: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:15 server named[2426]: client 203.88.23.9#17173: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:15 server named[2426]: client 203.88.23.9#62412: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:15 server named[2426]: client 203.88.23.10#63961: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:45:15 server named[2426]: client 203.88.23.10#64345: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:45:15 server named[2426]: client 203.88.23.10#31030: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:45:16 server named[2426]: client 203.88.6.9#17098: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:16 server named[2426]: client 203.88.6.9#17197: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:16 server named[2426]: client 203.88.6.9#18114: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:16 server named[2426]: client 203.88.6.9#59138: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:17 server named[2426]: client 203.88.6.9#28715: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:48:33 server named[2426]: client 203.88.23.9#26355: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:48:34 server named[2426]: client 203.88.23.9#34473: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:48:34 server named[2426]: client 203.88.23.9#62658: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:48:34 server named[2426]: client 203.88.23.9#51631: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:48:35 server named[2426]: client 203.88.23.9#54701: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:48:36 server named[2426]: client 203.88.6.10#63694: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:48:36 server named[2426]: client 203.88.6.10#18203: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:48:37 server named[2426]: client 203.88.6.10#9029: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:48:38 server named[2426]: client 203.88.6.10#58981: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:48:38 server named[2426]: client 203.88.6.10#29321: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:49:47 server named[2426]: client 119.160.127.42#42355: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:49:49 server named[2426]: client 119.160.120.42#46285: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:49:53 server named[2426]: client 119.160.120.42#30696: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:49:54 server named[2426]: client 119.160.127.42#14038: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:49:55 server named[2426]: client 119.160.120.42#33586: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:49:56 server named[2426]: client 119.160.127.42#55114: query (cache) 'xxxmaza.com/A/IN' denied

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• Network load balancing, efficience and limits?

  - by Vimvq1987

  I'm about to study about NLB on Windows Server 2003. It archives both of my interests now: scalability and high-availability. But I don't know about its power in production environment. Is NLB a efficient solution? How does it implement in real-world? Is it popular? What are its limit? Thank you so much for answering my questions. :)

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• High-quality ERD generator for PostgresQL under Linux?

  - by Dave Jarvis

  Background MySQL Workbench can produce appealing and high-quality ERDs such as: Research I have not found a tool that even comes close for PostgreSQL. Tools I have found: dbVisualizer - Yellow squares. AquaFold - Yellow squares. SQL Developer - Coloured squares. Dia - Coloured squares. SchemaBank - Can't export to PNG; looks okay, nothing stellar. SchemaSpy - XML export makes it possible to write an XSL skin... Gliffy - Incompatible Flash version. Druid - No. pgAdmin3 - Not applicable? phpPgAdmin - Couldn't login without a 30-minute configuration battle. Requirements Looking for an ERD tool: Visually stunning by default Can reverse-engineer a PostgreSQL (or JDBC-compliant) database Runs on Linux (or under WINE) Export high-resolution PNG (or SVG) FOSS

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• in free(): error: junk pointer, too high to make sense Segmentation fault: 11 (core dumped) gprof

  - by Mayank

  I am trying to profile my application. For this I compiled my code with -pg and -lc_p option, it compiled successfully During run time I am getting the following error. in free(): error: junk pointer, too high to make sense Segmentation fault: 11 (core dumped) Doing GDB gives error as. (gdb) b main Breakpoint 1 at 0x5124d4: (gdb) r warning: Unable to get location for thread creation breakpoint: generic error [New LWP 100085] cacheIp in free(): error: junk pointer, too high to make sense Program received signal SIGSEGV, Segmentation fault. [Switching to LWP 100085] 0x00000000006c3a1f in pthread_sigmask () My application is multi threaded and is a combination of C and C++ code. uname -a FreeBSD 6.3-RELEASE FreeBSD 6.3-RELEASE #0: Wed Jan 16 01:43:02 UTC 2008 [email protected]:/usr/obj/usr/src/sys/SMP amd64 Why is the code crashing. Am I missing something.

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• High Throughput and Windows Workflow Foundation

  - by SometimesUseful

  Can WWF handle high throughput scenarios where several dozen records are 'actively' being processed in parallel at any one time? We want to build a workflow process which handles a few thousand records per hour. Each record takes up to a minute to process, because it makes external web service calls. We are testing Windows Workflow Foundation to do this. But our demo programs show processing of each record appear to be running in sequence not in parallel, when we use parallel activities to process several records at once within one workflow instance. Should we use multiple workflow instances or parallel activities? Are there any known patterns for high performance WWF processing?

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• Sending SMTP e-mail at a high rate in .NET

  - by Martin Liversage

  I have a .NET service that processes a queue on a background thread and from the items in the queue sends out a large number of small e-mail messages at a very high rate (say 100 messages per second if that is even possible). Currently, I use SmtpClient.Send() but I'm afraid that it may hamper performance. Each call to Send() goes through a full cycle of opening the socket, performing the SMTP conversation (HELO, MAIL FROM, RCPT TO, DATA) and closing the socket. In pseudo code: for each message { open socket send HELO send MAIL FROM send RCPT TO send DATA close socket } I would think that the following pseudo code would be more optimal: open socket send HELO for each message { send MAIL FROM send RCPT TO send DATA } send QUIT close socket Should I be concerned about the performance of SmtpClient.Send() when sending e-mail at a high rate? What are my options for optimizing the performance?

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• Java Socket Connection is flooding network OR resulting in high ping

  - by user1461100

  i have a little problem with my java socket code. I'm writing an android client application which is sending data to a java multithreaded socket server on my pc through direct(!) wireless connection. It works fine but i want to improve it for mobile applications as it is very power consuming by now. When i remove two special lines in my code, the cpu usage of my mobile device (htc one x) is totally okay but then my connection seems to have high ping rates or something like that... Here is a server code snippet where i receive the clients data: while(true) { try { .... Object obj = in.readObject(); if(obj != null) { Class clazz = obj.getClass(); String className = clazz.getName(); if(className.equals("java.lang.String")) { String cmd = (String)obj; if(cmd.equals("dc")) { System.out.println("Client "+id+" disconnected!"); Server.connectedClients[id-1] = false; break; } if(cmd.substring(0,1).equals("!")) { robot.keyRelease(PlayerEnum.getKey(cmd,id)); } else { robot.keyPress(PlayerEnum.getKey(cmd,id)); } } } } catch .... Heres the client part, where i send my data in a while loop: private void networking() { try { if(client != null) { .... out.writeObject(sendQueue.poll()); .... } } catch .... when i write it this why, i send data everytime the while loop gets executed.. when sendQueue is empty, a null "Object" will be send. this results in "high" network traffic and in "high" cpu usage. BUT: all send comments are received nearly immediately. when i change the code to following: while(true) ... if(sendQueue.peek() != null) { out.writeObject(sendQueue.poll()); } ... the cpu usage is totally okay but i'm getting some laggs.. the commands do not arrive fast enough.. as i said, it works fine (besides cpu usage) if i'm sending data(with that null objects) every while execution. but i'm sure that this is very rough coding style because i'm kind of flooding the network. any hints? what am i doing wrong?? Thanks for your Help! Sincerly yours, maaft

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• how to become a High Frequency Trader/ Developer [closed]

  - by analogyE

  I am interested in becoming a high frequncy trader/ developer.

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• Updating or inserting high scores in SQL

  - by Roger Gilbrat

  I've been racking my brain over this for the past few days and I'm not sure it's possible, but figured I ask here. Is it possible for a single SQL statement to update a high score if your score is greater or insert it if your first score? My Score table has a UserID, Level and Score columns and I like it to follow the following logic: If your new score is greater than your last score for this Level, then replace it. If you don't have a score for this Level then add it. If your score for this Level is less than your highest score for this Level then do nothing. Is this possible in a single SQL statement or do I have to use two, one to see if you have a new high score and if so, replace it? Each UserID would have only one score in the table for each Level. I'm using MySQL.

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• iphone best practice, how to load multiple high quality images

  - by bennythemink

  Hi guys and girls, I have about 20-ish high quality images (~3840x5800 px) that I need to load in a simple gallery type app. The user clicks a button and the next image is loaded into the UIImageView. I currently use [UIImage imageWithContentsOfFile:] which takes about 6 seconds to load each image in the simulator :( if I use [UIImage imageNamed:] it takes even longer to load but caches the images which means its quicker if the user wishes to see the same images again. But it may cause memory problems later with all that caching crashing my app. I want to know whats the best practice for loading these? I'm experimenting with reducing image file size as much as is possible but I really need them to be high quality image for the purpose of the app (zoomable, etc.). Thanks for any advice

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• High CPU - What to do.

  - by Udi Kantzuker

  I have a high CPU problem with MYSQL using "top" ( linux ) shows cpu peaks of 90%. I was trying to find the source of the problem, turned on general log and slow query log, The slow query log did not find anything. The Db contains a few small tables and one large table that contains almost 100k rows, Database Engine is MyIsam. strange thing i have noticed that on the large table, select, insert are very fast but update takes 0.2 - 0.5 secs. already used optimize and repair and no improvement. the table is being updated frequently, could this be the source of the high CPU% ? What can i do to improve this?

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• How should I perform database maintenance on a 24x7 system

  - by solublefish

  I'm a software developer who inherited a part-time DBA role. I'm responsible for an application backed by a small, high-volume 24x7 database on SQL Server 2008. While there's other stuff in the DB, the critical piece is a 50GB, 7.5M row table that serves 100K requests/sec during peak load, and about half that at "night". This is 99%+ read traffic, but the writes are constant, and required. I need to be able to perform periodic maintenance without a maintenance window. Say an index rebuild, a job to purge old data, Windows Update, or hardware upgrade. Most of the advice I've seen is along the lines of "MAKE a maintenance window." While I appreciate the sentiment, I hope there's another way. If it will solve this problem, I do have the ability to purchase new hardware or modify the database, the clients (a set of web services servers), and much of the application code (ADO.NET + ASP.NET). I've been thinking along the lines of using the warm spare (or a 3rd server) to do the maintenance, and then "swap" it into production. 1 Synchronize the spare by restoring backups, including a current transaction log. 2 Perform the maintenance tasks. 3 Reconfigure clients to connect to the spare server. Existing connections are finished within a minute or so. 4 The spare server is now the production server. The problem remaining is that the new production server is now out of date by however long it took to perform maintenance. Is there some way that the original production server can be made to queue up changes and merge them to the spare between steps 2 and 3? Any other ideas?

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• Autocorrelation returns random results with mic input (using a high pass filter)

  - by Niall

  Hello, Sorry to ask a similar question to the one i asked before (FFT Problem (Returns random results)), but i've looked up pitch detection and autocorrelation and have found some code for pitch detection using autocorrelation. Im trying to do pitch detection of a users singing. Problem is, it keeps returning random results. I've got some code from http://code.google.com/p/yaalp/ which i've converted to C++ and modified (below). My sample rate is 2048, and data size is 1024. I'm detecting pitch of both a sine wave and mic input. The frequency of the sine wave is 726.0, and its detecting it to be 722.950820 (which im ok with), but its detecting the pitch of the mic as a random number from around 100 to around 1050. I'm now using a High pass filter to remove the DC offset, but it's not working. Am i doing it right, and if so, what else can i do to fix it? Any help would be greatly appreciated! double* doHighPassFilter(short *buffer) { // Do FFT: int bufferLength = 1024; float *real = malloc(bufferLength*sizeof(float)); float *real2 = malloc(bufferLength*sizeof(float)); for(int x=0;x<bufferLength;x++) { real[x] = buffer[x]; } fft(real, bufferLength); for(int x=0;x<bufferLength;x+=2) { real2[x] = real[x]; } for (int i=0; i < 30; i++) //Set freqs lower than 30hz to zero to attenuate the low frequencies real2[i] = 0; // Do inverse FFT: inversefft(real2,bufferLength); double* real3 = (double*)real2; return real3; } double DetectPitch(short* data) { int sampleRate = 2048; //Create sine wave double *buffer = malloc(1024*sizeof(short)); double amplitude = 0.25 * 32768; //0.25 * max length of short double frequency = 726.0; for (int n = 0; n < 1024; n++) { buffer[n] = (short)(amplitude * sin((2 * 3.14159265 * n * frequency) / sampleRate)); } doHighPassFilter(data); printf("Pitch from sine wave: %f\n",detectPitchCalculation(buffer, 50.0, 1000.0, 1, 1)); printf("Pitch from mic: %f\n",detectPitchCalculation(data, 50.0, 1000.0, 1, 1)); return 0; } // These work by shifting the signal until it seems to correlate with itself. // In other words if the signal looks very similar to (signal shifted 200 data) than the fundamental period is probably 200 data // Note that the algorithm only works well when there's only one prominent fundamental. // This could be optimized by looking at the rate of change to determine a maximum without testing all periods. double detectPitchCalculation(double* data, double minHz, double maxHz, int nCandidates, int nResolution) { //-------------------------1-------------------------// // note that higher frequency means lower period int nLowPeriodInSamples = hzToPeriodInSamples(maxHz, 2048); int nHiPeriodInSamples = hzToPeriodInSamples(minHz, 2048); if (nHiPeriodInSamples <= nLowPeriodInSamples) printf("Bad range for pitch detection."); if (1024 < nHiPeriodInSamples) printf("Not enough data."); double *results = new double[nHiPeriodInSamples - nLowPeriodInSamples]; //-------------------------2-------------------------// for (int period = nLowPeriodInSamples; period < nHiPeriodInSamples; period += nResolution) { double sum = 0; // for each sample, find correlation. (If they are far apart, small) for (int i = 0; i < 1024 - period; i++) sum += data[i] * data[i + period]; double mean = sum / 1024.0; results[period - nLowPeriodInSamples] = mean; } //-------------------------3-------------------------// // find the best indices int *bestIndices = findBestCandidates(nCandidates, results, nHiPeriodInSamples - nLowPeriodInSamples - 1); //note findBestCandidates modifies parameter // convert back to Hz double *res = new double[nCandidates]; for (int i=0; i < nCandidates;i++) res[i] = periodInSamplesToHz(bestIndices[i]+nLowPeriodInSamples, 2048); double pitch2 = res[0]; free(res); free(results); return pitch2; } /// Finds n "best" values from an array. Returns the indices of the best parts. /// (One way to do this would be to sort the array, but that could take too long. /// Warning: Changes the contents of the array!!! Do not use result array afterwards. int* findBestCandidates(int n, double* inputs,int length) { //int length = inputs.Length; if (length < n) printf("Length of inputs is not long enough."); int *res = new int[n]; double minValue = 0; for (int c = 0; c < n; c++) { // find the highest. double fBestValue = minValue; int nBestIndex = -1; for (int i = 0; i < length; i++) { if (inputs[i] > fBestValue) { nBestIndex = i; fBestValue = inputs[i]; } } // record this highest value res[c] = nBestIndex; // now blank out that index. if(nBestIndex!=-1) inputs[nBestIndex] = minValue; } return res; } int hzToPeriodInSamples(double hz, int sampleRate) { return (int)(1 / (hz / (double)sampleRate)); } double periodInSamplesToHz(int period, int sampleRate) { return 1 / (period / (double)sampleRate); } Thanks, Niall. Edit: Changed the code to implement a high pass filter with a cutoff of 30hz (from What Are High-Pass and Low-Pass Filters?, can anyone tell me how to convert the low-pass filter using convolution to a high-pass one?) but it's still returning random results. Plugging it into a VST host and using VST plugins to compare spectrums isn't an option to me unfortunately.

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• How do you implement an MPVolumeView?

  - by Emil

  Hey! I want the user to be able to change the system volume with a slider, and I realized the only way to do this is with an MPVolumeView. But I can't find any example code for it, and every method I try to implement won't show up. So what is the easiest and correct, working way of implementing a MPVolumeView?

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• what are the devises will be listed

  - by barbgal

  Hi.. please let me know what are the devices wil be listed using the below code guid = GUID_DEVINTERFACE_VOLUME; // Get device Information handle for Volume interface hDevInfo = SetupDiGetClassDevs( &guid, NULL, NULL, DIGCF_DEVICEINTERFACE | DIGCF_PRESENT ); Thank you

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• Access to iTunes Sound Check Results on iPhone

  - by Baldoph

  I would like to propose to the user some songs whose volume doesn't exceed a certain level. Is there any way to access to the results of the 'Sound Check' option, from the iPhone ? If not, do you know if I can calculate that with the audio tools in the iPhone SDK ? Thanks a lot.

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• Webalizer causing high CPU load

  - by Tom

  We use webalizer to generate reports on our Apache access logs - it is useful in conjunction with Google Analytics. The problem is that webalizer uses ALOT of CPU when running. If I run top I can see two perl processes with 90% CPU - this slows down the machine and therefore the website for our users. Webalizer is run via a daily cron job (/etc/cron.daily/00webalizer): #! /bin/bash # update access statistics for the web site if [ -s /var/log/httpd/access_log ]; then exec /usr/bin/webalizer -Q fi Does anyone know how to limit how much CPU webalizer can use? For example, would nice help and how would I use it?

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