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  • Apache taking up too much CPU

    - by andrewtweber
    I'm trying to manage a server on Amazon for a network of sites that receives about 100 million pageviews per month. Unfortunately, nobody out of my team of 5 developers has much server admin experience. Right now we have the MaxClients set to 1400. Currently our traffic is about average, and we have 1150 total Apache processes running, which use about 2% CPU each! Out of those 1150, 800 of them are currently sleeping, but still taking up CPU. I'm sure there are ways to optimize this. I have a few thoughts: It appears Apache is creating a new process for every single connection. Is this normal? Is there a way to more quickly kill the sleeping processes? Should we turn KeepAlive on? Each page loads about 15-20 medium-sized graphics and a lot of javascript/css. So, here's our Apache setup. We do plan on contracting a server admin asap, but I would really appreciate some advice until we can find someone. Timeout 25 KeepAlive Off MaxKeepAliveRequests 200 KeepAliveTimeout 5 <IfModule prefork.c> StartServers 100 MinSpareServers 20 MaxSpareServers 50 ServerLimit 1400 MaxClients 1400 MaxRequestsPerChild 5000 </IfModule> <IfModule worker.c> StartServers 4 MaxClients 400 MinSpareThreads 25 MaxSpareThreads 75 ThreadsPerChild 25 MaxRequestsPerChild 0 </IfModule> Full top output: top - 23:44:36 up 1 day, 6:43, 4 users, load average: 379.14, 379.17, 377.22 Tasks: 1153 total, 379 running, 774 sleeping, 0 stopped, 0 zombie Cpu(s): 71.9%us, 26.2%sy, 0.0%ni, 0.0%id, 0.0%wa, 0.0%hi, 1.9%si, 0.0%st Mem: 70343000k total, 23768448k used, 46574552k free, 527376k buffers Swap: 0k total, 0k used, 0k free, 10054596k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 1756 mysql 20 0 10.2g 1.8g 5256 S 19.8 2.7 904:41.13 mysqld 21515 apache 20 0 396m 18m 4512 R 2.1 0.0 0:34.42 httpd 21524 apache 20 0 396m 18m 4032 R 2.1 0.0 0:32.63 httpd 21544 apache 20 0 394m 16m 4084 R 2.1 0.0 0:36.38 httpd 21643 apache 20 0 396m 18m 4360 R 2.1 0.0 0:34.20 httpd 21817 apache 20 0 396m 17m 4064 R 2.1 0.0 0:38.22 httpd 22134 apache 20 0 395m 17m 4584 R 2.1 0.0 0:35.62 httpd 22211 apache 20 0 397m 18m 4104 R 2.1 0.0 0:29.91 httpd 22267 apache 20 0 396m 18m 4636 R 2.1 0.0 0:35.29 httpd 22334 apache 20 0 397m 18m 4096 R 2.1 0.0 0:34.86 httpd 22549 apache 20 0 395m 17m 4056 R 2.1 0.0 0:31.01 httpd 22612 apache 20 0 397m 19m 4152 R 2.1 0.0 0:34.34 httpd 22721 apache 20 0 396m 18m 4060 R 2.1 0.0 0:32.76 httpd 22932 apache 20 0 396m 17m 4020 R 2.1 0.0 0:37.34 httpd 22933 apache 20 0 396m 18m 4060 R 2.1 0.0 0:34.77 httpd 22949 apache 20 0 396m 18m 4060 R 2.1 0.0 0:34.61 httpd 22956 apache 20 0 402m 24m 4072 R 2.1 0.0 0:41.45 httpd

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  • Nginx php-fpm high cpu usage

    - by Piotr Kaluza
    I have a problem with a high traffic wordpress, super high CPU load under nginx php-fpm, I am caching with apc, and memcached, spent 2-3 days tweaking configs and looking for answers it seems to me that php-fpm takes up all the cpu available no matter how many max_children i set if i set 5 then the load is 20% each, if i set 20 then the load adds up till 90% i tried static and dynamic server is 2x3.0Ghz 6GB Ram SSD in raid 10 on ubuntu 12.04 x64 utpime: 17:27:51 up 2:19, 1 user, load average: 29.79, 28.08, 26.29 what can be the issue?

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  • High Server Load cannot figure out why

    - by Tim Bolton
    My server is currently running CentOS 5.2, with WHM 11.34. Currently, we're at 6.43 to 12 for a load average. The sites that we're hosting are taking a lot time to respond and resolve. top doesn't show anything out of the ordinary and iftop doesn't show a lot of traffic. We have many resellers, and some not so good at writing code, how can we find the culprit? vmstat output: vmstat procs -----------memory---------- ---swap-- -----io---- --system-- -----cpu------ r b swpd free buff cache si so bi bo in cs us sy id wa st 0 2 84 78684 154916 1021080 0 0 72 274 0 14 6 3 80 12 0 top output (ordered by %CPU) top - 21:44:43 up 5 days, 10:39, 3 users, load average: 3.36, 4.18, 4.73 Tasks: 222 total, 3 running, 219 sleeping, 0 stopped, 0 zombie Cpu(s): 5.8%us, 2.3%sy, 0.2%ni, 79.6%id, 11.8%wa, 0.0%hi, 0.2%si, 0.0%st Mem: 2074580k total, 1863044k used, 211536k free, 174828k buffers Swap: 2040212k total, 84k used, 2040128k free, 987604k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 15930 mysql 15 0 138m 46m 4380 S 4 2.3 1:45.87 mysqld 21772 igniteth 17 0 23200 7152 3932 R 4 0.3 0:00.02 php 1586 root 10 -5 0 0 0 S 2 0.0 11:45.19 kjournald 21759 root 15 0 2416 1024 732 R 2 0.0 0:00.01 top 1 root 15 0 2156 648 560 S 0 0.0 0:26.31 init 2 root RT 0 0 0 0 S 0 0.0 0:00.35 migration/0 3 root 34 19 0 0 0 S 0 0.0 0:00.32 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 0:02.00 migration/1 6 root 34 19 0 0 0 S 0 0.0 0:00.11 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 0:01.29 migration/2 9 root 34 19 0 0 0 S 0 0.0 0:00.26 ksoftirqd/2 10 root RT 0 0 0 0 S 0 0.0 0:00.00 watchdog/2 11 root RT 0 0 0 0 S 0 0.0 0:00.90 migration/3 12 root 34 19 0 0 0 R 0 0.0 0:00.20 ksoftirqd/3 13 root RT 0 0 0 0 S 0 0.0 0:00.00 watchdog/3 top output (ordered by CPU time) top - 21:46:12 up 5 days, 10:41, 3 users, load average: 2.88, 3.82, 4.55 Tasks: 217 total, 1 running, 216 sleeping, 0 stopped, 0 zombie Cpu(s): 3.7%us, 2.0%sy, 2.0%ni, 67.2%id, 25.0%wa, 0.0%hi, 0.1%si, 0.0%st Mem: 2074580k total, 1959516k used, 115064k free, 183116k buffers Swap: 2040212k total, 84k used, 2040128k free, 1090308k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ TIME COMMAND 32367 root 16 0 215m 212m 1548 S 0 10.5 62:03.63 62:03 tailwatchd 1586 root 10 -5 0 0 0 S 0 0.0 11:45.27 11:45 kjournald 1576 root 10 -5 0 0 0 S 0 0.0 2:37.86 2:37 kjournald 27722 root 16 0 2556 1184 800 S 0 0.1 1:48.94 1:48 top 15930 mysql 15 0 138m 46m 4380 S 4 2.3 1:48.63 1:48 mysqld 2932 root 34 19 0 0 0 S 0 0.0 1:41.05 1:41 kipmi0 226 root 10 -5 0 0 0 S 0 0.0 1:34.33 1:34 kswapd0 2671 named 25 0 74688 7400 2116 S 0 0.4 1:23.58 1:23 named 3229 root 15 0 10300 3348 2724 S 0 0.2 0:40.85 0:40 sshd 1580 root 10 -5 0 0 0 S 0 0.0 0:30.62 0:30 kjournald 1 root 17 0 2156 648 560 S 0 0.0 0:26.32 0:26 init 2616 root 15 0 1816 576 480 S 0 0.0 0:23.50 0:23 syslogd 1584 root 10 -5 0 0 0 S 0 0.0 0:18.67 0:18 kjournald 4342 root 34 19 27692 11m 2116 S 0 0.5 0:18.23 0:18 yum-updatesd 8044 bollingp 15 0 3456 2036 740 S 1 0.1 0:15.56 0:15 imapd 26 root 10 -5 0 0 0 S 0 0.0 0:14.18 0:14 kblockd/1 7989 gmailsit 16 0 3196 1748 736 S 0 0.1 0:10.43 0:10 imapd iostat -xtk 1 10 output [root@server1 tmp]# iostat -xtk 1 10 Linux 2.6.18-53.el5 12/18/2012 Time: 09:51:06 PM avg-cpu: %user %nice %system %iowait %steal %idle 5.83 0.19 2.53 11.85 0.00 79.60 Device: rrqm/s wrqm/s r/s w/s rkB/s wkB/s avgrq-sz avgqu-sz await svctm %util sda 1.37 118.83 18.70 54.27 131.47 692.72 22.59 4.90 67.19 3.10 22.59 sdb 0.35 39.33 20.33 61.43 158.79 403.22 13.75 5.23 63.93 3.77 30.80 Time: 09:51:07 PM avg-cpu: %user %nice %system %iowait %steal %idle 1.50 0.00 0.50 24.00 0.00 74.00 Device: rrqm/s wrqm/s r/s w/s rkB/s wkB/s avgrq-sz avgqu-sz await svctm %util sda 0.00 25.00 2.00 2.00 128.00 108.00 118.00 0.03 7.25 4.00 1.60 sdb 0.00 16.00 41.00 145.00 200.00 668.00 9.33 107.92 272.72 5.38 100.10 Time: 09:51:08 PM avg-cpu: %user %nice %system %iowait %steal %idle 2.00 0.00 1.50 29.50 0.00 67.00 Device: rrqm/s wrqm/s r/s w/s rkB/s wkB/s avgrq-sz avgqu-sz await svctm %util sda 0.00 95.00 3.00 33.00 12.00 480.00 27.33 0.07 1.72 1.31 4.70 sdb 0.00 14.00 1.00 228.00 4.00 960.00 8.42 143.49 568.01 4.37 100.10 Time: 09:51:09 PM avg-cpu: %user %nice %system %iowait %steal %idle 13.28 0.00 2.76 21.30 0.00 62.66 Device: rrqm/s wrqm/s r/s w/s rkB/s wkB/s avgrq-sz avgqu-sz await svctm %util sda 0.00 21.00 1.00 19.00 16.00 192.00 20.80 0.06 3.55 1.30 2.60 sdb 0.00 36.00 28.00 181.00 124.00 884.00 9.65 121.16 617.31 4.79 100.10 Time: 09:51:10 PM avg-cpu: %user %nice %system %iowait %steal %idle 4.74 0.00 1.50 25.19 0.00 68.58 Device: rrqm/s wrqm/s r/s w/s rkB/s wkB/s avgrq-sz avgqu-sz await svctm %util sda 0.00 20.00 3.00 15.00 12.00 136.00 16.44 0.17 7.11 3.11 5.60 sdb 0.00 0.00 103.00 60.00 544.00 248.00 9.72 52.35 545.23 6.14 100.10 Time: 09:51:11 PM avg-cpu: %user %nice %system %iowait %steal %idle 1.24 0.00 1.24 25.31 0.00 72.21 Device: rrqm/s wrqm/s r/s w/s rkB/s wkB/s avgrq-sz avgqu-sz await svctm %util sda 0.00 75.00 4.00 28.00 16.00 416.00 27.00 0.08 3.72 2.03 6.50 sdb 2.00 9.00 124.00 17.00 616.00 104.00 10.21 3.73 213.73 7.10 100.10 Time: 09:51:12 PM avg-cpu: %user %nice %system %iowait %steal %idle 1.00 0.00 0.75 24.31 0.00 73.93 Device: rrqm/s wrqm/s r/s w/s rkB/s wkB/s avgrq-sz avgqu-sz await svctm %util sda 0.00 24.00 1.00 9.00 4.00 132.00 27.20 0.01 1.20 1.10 1.10 sdb 4.00 40.00 103.00 48.00 528.00 212.00 9.80 105.21 104.32 6.64 100.20 Time: 09:51:13 PM avg-cpu: %user %nice %system %iowait %steal %idle 2.50 0.00 1.75 23.25 0.00 72.50 Device: rrqm/s wrqm/s r/s w/s rkB/s wkB/s avgrq-sz avgqu-sz await svctm %util sda 0.00 125.74 3.96 46.53 15.84 689.11 27.92 0.20 4.06 2.41 12.18 sdb 2.97 0.00 91.09 84.16 419.80 471.29 10.17 85.85 590.78 5.66 99.11 Time: 09:51:14 PM avg-cpu: %user %nice %system %iowait %steal %idle 0.75 0.00 0.50 24.94 0.00 73.82 Device: rrqm/s wrqm/s r/s w/s rkB/s wkB/s avgrq-sz avgqu-sz await svctm %util sda 0.00 88.00 1.00 7.00 4.00 380.00 96.00 0.04 4.38 3.00 2.40 sdb 3.00 7.00 111.00 44.00 540.00 208.00 9.65 18.58 581.79 6.46 100.10 Time: 09:51:15 PM avg-cpu: %user %nice %system %iowait %steal %idle 11.03 0.00 3.26 26.57 0.00 59.15 Device: rrqm/s wrqm/s r/s w/s rkB/s wkB/s avgrq-sz avgqu-sz await svctm %util sda 0.00 145.00 7.00 53.00 28.00 792.00 27.33 0.15 2.50 1.55 9.30 sdb 1.00 0.00 155.00 0.00 800.00 0.00 10.32 2.85 18.63 6.46 100.10 [root@server1 tmp]# MySQL Show Full Processlist mysql> show full processlist; +------+---------------+-----------+-----------------------+----------------+------+----------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | Id | User | Host | db | Command | Time | State | Info | +------+---------------+-----------+-----------------------+----------------+------+----------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | 1 | DB_USER_ONE | localhost | DB_ONE | Query | 3 | waiting for handler insert | INSERT DELAYED INTO defers (mailtime,msgid,email,transport_method,message,host,ip,router,deliveryuser,deliverydomain) VALUES(FROM_UNIXTIME('1355879748'),'1TivwL-0003y8-8l','[email protected]','remote_smtp','SMTP error from remote mail server after initial connection: host mx1.mail.tw.yahoo.com [203.188.197.119]: 421 4.7.0 [TS01] Messages from 75.125.90.146 temporarily deferred due to user complaints - 4.16.55.1; see http://postmaster.yahoo.com/421-ts01.html','mx1.mail.tw.yahoo.com','203.188.197.119','lookuphost','','') | | 2 | DELAYED | localhost | DB_ONE | Delayed insert | 52 | insert | | | 3 | DELAYED | localhost | DB_ONE | Delayed insert | 68 | insert | | | 911 | DELAYED | localhost | DB_ONE | Delayed insert | 99 | Waiting for INSERT | | | 993 | DB_USER_TWO | localhost | DB_TWO | Sleep | 832 | | NULL | | 994 | DB_USER_ONE | localhost | DB_ONE | Query | 185 | Locked | delete from failures where FROM_UNIXTIME(UNIX_TIMESTAMP(NOW())-1296000) > mailtime | | 1102 | DB_USER_THREE | localhost | DB_THREE | Query | 29 | NULL | commit | | 1249 | DB_USER_FOUR | localhost | DB_FOUR | Query | 13 | NULL | commit | | 1263 | root | localhost | DB_FIVE | Query | 0 | NULL | show full processlist | | 1264 | DB_USER_SIX | localhost | DB_SIX | Query | 3 | NULL | commit | +------+---------------+-----------+-----------------------+----------------+------+----------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ 10 rows in set (0.00 sec)

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  • php-cgi memory usage higher than php's memory limit

    - by Josh Nankin
    I'm running apache with a worker MPM and php with fastcgi. the following are my mpm limits: StartServers 5 MinSpareThreads 5 MaxSpareThreads 10 ThreadLimit 64 ThreadsPerChild 10 MaxClients 10 MaxRequestsPerChild 2000 I've also setup my php-cgi with the following: PHP_FCGI_CHILDREN=5 PHP_FCGI_MAX_REQUESTS=500 I'm noticing that my average php-cgi process is using around 200+mb of RAM, even as soon as they are started. However, my php memory_limit is only 128M. How is this possible, and what can I do to lower the php-cgi memory consumption?

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  • dns does not work from different drive letters

    - by n1zero
    C:\>ping localhost Pinging Vextor [127.0.0.1] with 32 bytes of data: Reply from 127.0.0.1: bytes=32 time<1ms TTL=128 Reply from 127.0.0.1: bytes=32 time<1ms TTL=128 Ping statistics for 127.0.0.1: Packets: Sent = 2, Received = 2, Lost = 0 (0% loss), Approximate round trip times in milli-seconds: Minimum = 0ms, Maximum = 0ms, Average = 0ms Control-C ^C C:\>f: F:\>ping localhost Ping request could not find host localhost. Please check the name and try again.

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  • What iowait values are ok?

    - by alfish
    I am trying to find the bottleneck of a server running a fairly busy php/mysql site. My first culprit was io but iostat shows that on average iowait consumes only %3.60 of cpu time. here is the complete result of issuing iostat: avg-cpu: %user %nice %system %iowait %steal %idle 65.78 0.00 8.52 3.60 0.00 22.10 Device: tps Blk_read/s Blk_wrtn/s Blk_read Blk_wrtn sda 42.36 138.28 1754.70 408630278 5185216128 So I am wondering if the iowait is within acceptable range, and if not, whether switching from SATA to SSD would dramatically reduce it?

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  • Wrapping variable width text in emacs lisp

    - by Jonathan Arkell
    I am hacking up a tagging application for emacs. I have got a tag cloud/weighted list successfully displaying on a buffer, but i am running into a snag. I need to be able to properly word-wrap the buffer, but I haven't a clue where to start. The font I am using is a variable width font. On top of that, each tag is going to be in a different size, depending on how many times it shows up on the buffer. Finally, the window that displays the tagcloud could be in a window that is 200 pixels wide, or the full screen width. I really have no idea where to start. I tried longlines mode on the tagcloud buffer, but that didn't work. Source code is at: http://emacswiki.org/cgi-bin/emacs/free-tagging.el

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  • MySQL Execution Time Spikes

    - by Brett
    I am having issues with MySQL all of the sudden today. Details: OS: CentOS release 5.7 Server type: Parallels virtuozzo container running on mediatemple DV 4.0 package Average total memory usage: <500mb Total memory usage allowed: 1gb (part of shared pool for emergency only, users are only guaranteed 500mb) Processor: 1ghz Main database sizes with most usage: 275mb & 107mb server stack: nginx 1.0.10, mysql 5.1.54, php 5.3.8 with php-fpm innodb_buffer_pool_size=100M php-fpm max children: 5 Webapps: custom php-based sites, magento & drupal slow query timeout is set to 1 second Steps I completed towards diagnosis: Cannot restart container yet - I will try later tonight when our domestic traffic has dropped Enabled mysql and php-fpm slowlog. Found functions that did DB queries in php-fpm slowlog were taking over 1s to complete at times Found some simple queries in mysql slowlog taking well over 1s to complete that should take less than 1s. Most interesting - execution time seems to spike at times. A query will take .2s a couple times, then one time it will take 8s to run the same query. These results were verified by running raw SQL queries through mysql command line. Top does not reveal anything too interesting Only resource related thing i can see is load averages much higher than normal Up until today, mysql has been fine, there have been no major changes to the db since yesterday. Sometimes things are so bad, I am seeing bad gateway errors after 60s of execution time. Innodb is doing on average 300-1400 reads/sec. Mysql is doing 3-10 queries/sec slow query count in 2 hours uptime is 171 (with slow timeout at 1 second) Tried restarting mysql, nginx, php-fpm multiple times For example: UPDATE `catalogsearch_query` SET `query_text` = 'EW 90', `num_results` = '7532', `popularity` = '99180', `redirect` = NULL, `synonym_for` = NULL, `store_id` = '1', `display_in_terms` = '1', `is_active` = '1', `is_processed` = '1', `updated_at` = '2012-05-08 21:38:31' WHERE (query_id='31'); This query took 17sec to complete one time, rest of the time around .079 sec. But varies, sometimes 1sec, sometimes .004 sec. This is running the same query, over and over with a couple seconds time in between each. Most tables are innodb, and sometimes I noticed the lock time taking 90% of the query execution time, but most of the time lock time is insignificant. Any idea what's going on here?

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  • An approximate algorithm for finding Steiner Forest.

    - by Tadeusz A. Kadlubowski
    Hello. Consider a weighted graph G=(V,E,w). We are given a family of subsets of vertices V_i. Those sets of vertices are not necessarily disjoint. A Steiner Forest is a forest that for each subset of vertices V_i connects all of the vertices in this subset with a tree. Example: only one subset V_1 = V. In this case a Steiner forest is a spanning tree of the whole graph. Enough theory. Finding such a forest with minimal weight is difficult (NP-complete). Do you know any quicker approximate algorithm to find such a forest with non-optimal weight?

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  • SAS Expanders vs Direct Attached (SAS)?

    - by jemmille
    I have a storage unit with 2 backplanes. One backplane holds 24 disks, one backplane holds 12 disks. Each backplane is independently connected to a SFF-8087 port (4 channel/12Gbit) to the raid card. Here is where my question really comes in. Can or how easily can a backplane be overloaded? All the disks in the machine are WD RE4 WD1003FBYX (black) drives that have average writes at 115MB/sec and average read of 125 MB/sec I know things would vary based on the raid or filesystem we put on top of that but it seems to be that a 24 disk backplane with only one SFF-8087 connector should be able to overload the bus to a point that might actually slow it down? Based on my math, if I had a RAID0 across all 24 disks and asked for a large file, I should, in theory should get 24*115 MB/sec wich translates to 22.08 GBit/sec of total throughput. Either I'm confused or this backplane is horribly designed, at least in a perfomance environment. I'm looking at switching to a model where each drive has it's own channel from the backplane (and new HBA's or raid card). EDIT: more details We have used both pure linux (centos), open solaris, software raid, hardware raid, EXT3/4, ZFS. Here are some examples using bonnie++ 4 Disk RAID-0, ZFS WRITE CPU RE-WRITE CPU READ CPU RND-SEEKS 194MB/s 19% 92MB/s 11% 200MB/s 8% 310/sec 194MB/s 19% 93MB/s 11% 201MB/s 8% 312/sec --------- ---- --------- ---- --------- ---- --------- 389MB/s 19% 186MB/s 11% 402MB/s 8% 311/sec 8 Disk RAID-0, ZFS WRITE CPU RE-WRITE CPU READ CPU RND-SEEKS 324MB/s 32% 164MB/s 19% 346MB/s 13% 466/sec 324MB/s 32% 164MB/s 19% 348MB/s 14% 465/sec --------- ---- --------- ---- --------- ---- --------- 648MB/s 32% 328MB/s 19% 694MB/s 13% 465/sec 12 Disk RAID-0, ZFS WRITE CPU RE-WRITE CPU READ CPU RND-SEEKS 377MB/s 38% 191MB/s 22% 429MB/s 17% 537/sec 376MB/s 38% 191MB/s 22% 427MB/s 17% 546/sec --------- ---- --------- ---- --------- ---- --------- 753MB/s 38% 382MB/s 22% 857MB/s 17% 541/sec Now 16 Disk RAID-0, it's gets interesting WRITE CPU RE-WRITE CPU READ CPU RND-SEEKS 359MB/s 34% 186MB/s 22% 407MB/s 18% 1397/sec 358MB/s 33% 186MB/s 22% 407MB/s 18% 1340/sec --------- ---- --------- ---- --------- ---- --------- 717MB/s 33% 373MB/s 22% 814MB/s 18% 1368/sec 20 Disk RAID-0, ZFS WRITE CPU RE-WRITE CPU READ CPU RND-SEEKS 371MB/s 37% 188MB/s 22% 450MB/s 19% 775/sec 370MB/s 37% 188MB/s 22% 447MB/s 19% 797/sec --------- ---- --------- ---- --------- ---- --------- 741MB/s 37% 376MB/s 22% 898MB/s 19% 786/sec 24 Disk RAID-1, ZFS WRITE CPU RE-WRITE CPU READ CPU RND-SEEKS 347MB/s 34% 193MB/s 22% 447MB/s 19% 907/sec 347MB/s 34% 192MB/s 23% 446MB/s 19% 933/sec --------- ---- --------- ---- --------- ---- --------- 694MB/s 34% 386MB/s 22% 894MB/s 19% 920/sec 28 Disk RAID-0, ZFS 32 Disk RAID-0, ZFS 36 Disk RAID-0, ZFS More details: Here is the exact unit: http://www.supermicro.com/products/chassis/4U/847/SC847E1-R1400U.cfm

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  • Microsoft Remote Desktop Bandwidth Usage

    - by Salman A
    I am wondering how much bandwidth in terms of bytes sent/received is consumed by a typical remote desktop session. I need to know this because our ISP enforces a cap on monthly bandwidth usage (i.e. the total amount data in GB that can sent or received in a month). So just wondering like how much KBs or MBs are transferred per hour in an average RDP session.

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  • Graph Algorithm To Find All Paths Between N Arbitrary Vertices

    - by russtbarnacle
    I have an graph with the following attributes: Undirected Not weighted Each vertex has a minimum of 2 and maximum of 6 edges connected to it. Vertex count will be < 100 I'm looking for paths between a random subset of the vertices (at least 2). The paths should simple paths that only go through any vertex once. My end goal is to have a set of routes so that you can start at one of the subset vertices and reach any of the other subset vertices. Its not necessary to pass through all the subset nodes when following a route. All of the algorithms I've found (Dijkstra,Depth first search etc.) seem to be dealing with paths between two vertices and shortest paths. Is there a known algorithm that will give me all the paths (I suppose these are subgraphs) that connect these subset of vertices?

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  • Python Least-Squares Natural Splines

    - by Eldila
    I am trying to find a numerical package which will fit a natural which minimizes weighted least squares. There is a package in scipy which does what I want for unnatural splines. import numpy as np import matplotlib.pyplot as plt from scipy import interpolate import random x = np.arange(0,5,1.0/2) xs = np.arange(0,5,1.0/500) y = np.sin(x+1) for i in range(len(y)): y[i] += .2*random.random() - .1 knots = np.array([1,2,3,4]) tck = interpolate.splrep(x,y,s=1,k=3,t=knots,task=-1) ynew = interpolate.splev(xs,tck,der=0) plt.figure() plt.plot(xs,ynew,x,y,'x')

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  • Wireless vs. Wired: which is faster?

    - by studiohack
    I have the option of hooking up my machines to the internet either wirelessly or via ethernet cable (wired). I'm curious as to which is faster; the approximate wireless signal strength (average) is about 60%. My question is, would my internet be faster if I used ethernet, resulting in a stronger connection?

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  • Calculate using an Averaged coumn in a pivot

    - by Emily Y
    Hi, I have a pivot which includes goals and year results. Because goal is the same on each meausure, I have to average the goal in the pivot in order to show the correct amount. I then want to calculate v% between the goal and the year result. Because the goal is averaged, v% cannot be calculated correctly. Does anyone know of a way to do calcuation like this in a pivot? Thanks a lot, Emily

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  • Ubuntu Server 12.04 CPU Load

    - by zertux
    I have a Server (2x Hexa-Core Xeon E5649 2.53GHz w/HT with 32GB RAM and 20000 GB Bandwidth) running Ubuntu Server 12.04 LTS. The server runs LAMP and serves one website only, the estimated number of users is to be ~ 15,000 at the same time. At the moment i have around 2000 users online each of them runs 50 MySQL queries (small values mostly select and insert) from the beginning until the end of the session. Server CPU Load is high at this number of connections while the RAM usage is almost 1GB out of 32GB its worth mentioning that the server was running very fast with no problems at all but am concerned about the load average. http://s12.postimage.org/z7hi6mz3h/photo.png top - 03:02:43 up 9 min, 2 users, load average: 50.83, 30.14, 12.83 Tasks: 432 total, 1 running, 430 sleeping, 0 stopped, 1 zombie Cpu(s): 0.1%us, 0.2%sy, 0.0%ni, 66.5%id, 33.1%wa, 0.0%hi, 0.0%si, 0.0%st Mem: 32939992k total, 3111604k used, 29828388k free, 84108k buffers Swap: 2048280k total, 0k used, 2048280k free, 1621640k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 2860 root 20 0 25820 2288 1420 S 3 0.0 0:11.18 htop 1182 root 20 0 0 0 0 D 2 0.0 0:01.46 kjournald 1935 mysql 20 0 12.3g 161m 7924 S 1 0.5 102:31.45 mysqld 11 root 20 0 0 0 0 S 0 0.0 0:00.38 kworker/0:1 1822 www-data 20 0 247m 25m 4188 D 0 0.1 0:01.81 apache2 2920 www-data 20 0 0 0 0 Z 0 0.0 0:01.20 apache2 <defunct> 2942 www-data 20 0 247m 23m 3056 D 0 0.1 0:00.20 apache2 3516 www-data 20 0 247m 23m 3028 D 0 0.1 0:00.06 apache2 3521 www-data 20 0 247m 23m 3020 D 0 0.1 0:00.09 apache2 3664 www-data 20 0 247m 23m 3132 D 0 0.1 0:00.09 apache2 3674 www-data 20 0 247m 23m 3252 D 0 0.1 0:00.06 apache2 3713 www-data 20 0 247m 23m 3040 D 0 0.1 0:00.09 apache2 1 root 20 0 24328 2284 1344 S 0 0.0 0:03.09 init 2 root 20 0 0 0 0 S 0 0.0 0:00.00 kthreadd 3 root 20 0 0 0 0 S 0 0.0 0:00.01 ksoftirqd/0 6 root RT 0 0 0 0 S 0 0.0 0:00.00 migration/0 7 root RT 0 0 0 0 S 0 0.0 0:00.00 watchdog/0 8 root RT 0 0 0 0 S 0 0.0 0:00.00 migration/1 9 root 20 0 0 0 0 S 0 0.0 0:00.00 kworker/1:0 root@server:~/codes# vmstat 1 procs -----------memory---------- ---swap-- -----io---- -system-- ----cpu---- r b swpd free buff cache si so bi bo in cs us sy id wa 19 0 0 29684012 86112 1689844 0 0 19 590 254 231 48 0 47 5 23 0 0 29704812 86128 1697672 0 0 4 320 11100 8121 77 1 22 0 33 0 0 29671044 86156 1705308 0 0 0 5440 13190 9140 95 1 4 0 33 3 0 29670088 86160 1706288 0 0 0 32932 12275 7297 99 0 1 0 35 0 0 29693456 86188 1710724 0 0 4 676 12701 7867 98 1 1 0 ^C I have not changed any of the default configurations that comes with Ubuntu. Is this load normal for such powerful server ? is there any optimization i can make to Apache/MySQL to minimize the load ? What do you recommend ?

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  • Perl Math::Business::EMA help

    - by Dustin
    Script pulls data from mysql: $DBI::result = $db->prepare(qq{ SELECT close FROM $table WHERE day <= '$DATE' ORDER BY day DESC LIMIT $EMA }); $DBI::result->execute(); while($row = $DBI::result->fetchrow) { print "$row\n"; }; with the following example results: 1.560 1.560 1.550... But I need to work out the EMA using Math::Business::EMA; and I'm not sure how to calculate this while maintaining the accuracy. EMA is weighted and My lack of Perl knowledge is not helping.

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  • Please Help me add up the elements for this structure in Scheme/Lisp

    - by kunjaan
    I have an input which is of this form: (((lady-in-water . 1.25) (snake . 1.75) (run . 2.25) (just-my-luck . 1.5)) ((lady-in-water . 0.8235294117647058) (snake . 0.5882352941176471) (just-my-luck . 0.8235294117647058)) ((lady-in-water . 0.8888888888888888) (snake . 1.5555555555555554) (just-my-luck . 1.3333333333333333))) (context: the word denotes a movie and the number denotes the weighted rating submitted by the user) I need to add all the quantity and return a list which looks something like this ((lady-in-water 2.5) (snake 2.5) (run 2.25) (just-myluck 2.6)) How do I traverse the list and all the quantities? I am really stumped. Please help me. Thanks.

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  • Fastest way to parse XML files in C#?

    - by LifeH2O
    I have to load many XML files from internet. But for testing with better speed i downloaded all of them (more than 500 files) of the following format. <player-profile> <personal-information> <id>36</id> <fullname>Adam Gilchrist</fullname> <majorteam>Australia</majorteam> <nickname>Gilchrist</nickname> <shortName>A Gilchrist</shortName> <dateofbirth>Nov 14, 1971</dateofbirth> <battingstyle>Left-hand bat</battingstyle> <bowlingstyle>Right-arm offbreak</bowlingstyle> <role>Wicket-Keeper</role> <teams-played-for>Western Australia, New South Wales, ICC World XI, Deccan Chargers, Australia</teams-played-for> <iplteam>Deccan Chargers</iplteam> </personal-information> <batting-statistics> <odi-stats> <matchtype>ODI</matchtype> <matches>287</matches> <innings>279</innings> <notouts>11</notouts> <runsscored>9619</runsscored> <highestscore>172</highestscore> <ballstaken>9922</ballstaken> <sixes>149</sixes> <fours>1000+</fours> <ducks>0</ducks> <fifties>55</fifties> <catches>417</catches> <stumpings>55</stumpings> <hundreds>16</hundreds> <strikerate>96.95</strikerate> <average>35.89</average> </odi-stats> <test-stats> . . . </test-stats> <t20-stats> . . . </t20-stats> <ipl-stats> . . . </ipl-stats> </batting-statistics> <bowling-statistics> <odi-stats> . . . </odi-stats> <test-stats> . . . </test-stats> <t20-stats> . . . </t20-stats> <ipl-stats> . . . </ipl-stats> </bowling-statistics> </player-profile> I am using XmlNodeList list = _document.SelectNodes("/player-profile/batting-statistics/odi-stats"); And then loop this list with foreach as foreach (XmlNode stats in list) { _btMatchType = GetInnerString(stats, "matchtype"); //it returns null string if node not availible . . . . _btAvg = Convert.ToDouble(stats["average"].InnerText); } Even i am loading all files offline, parsing is very slow Is there any good faster way to parse them? Or is it problem with SQL? I am saving all extracted data from XML to database using DataSets, TableAdapters with insert command. I

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  • Problem with slow hard disk

    - by Makis Arvin
    We bought some new PCs in my company with the new iCore 7 and 8GB memory and the following hard disk: WESTERN DIGITAL WD8000AARS 800GB CAVIAR GREEN SATA2 The problem we have is that after installing windows XP64 SP2 the write speed of the hard disk is extremely low!. The windows system monitor shows that the Average Disk queue length is always at 100% and a winzip extract of 350mb takes about 8min. Is there any idea on where to start looking for the cause of that? Thanks

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  • How To Troubleshoot Excess Time From Connect to First Byte?

    - by Gaia
    I measured load times for a wordpress 2.9.2 install on apache 2.2.3 and I was intrigued by the long periods between connect and first byte for the css and image files. Load Average is 0.0, 0.0, 0.0 and there are 150MB free RAM on the VPS. Pingdom results are at http://imagebin.ca/img/6UaiOU.png How do I gain insight into the possible causes of this problem and how would I troubleshoot it? Thanks

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  • Freeware software to view gps data

    - by tttppp
    I'm looking for some freeware software to view gps data with. In particular I'm interesting in something that can keep track of my walking, cycling and driving separately and display graphs/summaries of average speeds and distance travelled. (Windows 7)

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