Enterprise 1.14.1.0,nginx,php-fpm,solr,redis(2个实例-一个用于fpc,另一个用于其他所有功能)
我们完全处于机智的境地-我们已经对似乎合理的每个配置设置进行了调整,而且这一问题每天都持续存在。任何想法将不胜感激。
我们的网站经历了Redis锁定并倾销此类错误的情况,持续了几分钟,然后一切恢复正常。
a:4:{i:0;s:24:"read error on connection";i:1;s:1196:"#0 /var/www/magento/lib/Credis/Client.php(440): Credis_Client->__call('select', Array)
#1 /var/www/magento/lib/Cm/Cache/Backend/Redis.php(117): Credis_Client->select(0)
#2 /var/www/magento/lib/Zend/Cache.php(153): Cm_Cache_Backend_Redis->__construct(Array)
#3 /var/www/magento/lib/Zend/Cache.php(94): Zend_Cache::_makeBackend('Cm_Cache_Backen...', Array, true, true)
#4 /var/www/magento/app/code/local/Extendware/EWCacheBackend/Model/Override/Mage/Core/Cache.php(25): Zend_Cache::factory()
#5 /var/www/magento/app/code/core/Mage/Core/Model/Config.php(1348): ExtendwareInternal_EWCacheBackend_Model_Override_Mage_Core_Cache->__construct(Array)
#6 /var/www/magento/app/Mage.php(463): Mage_Core_Model_Config->getModelInstance('core/cache', Array)
#7 /var/www/magento/app/code/core/Mage/Core/Model/App.php(401): Mage::getModel('core/cache', Array)
#8 /var/www/magento/app/code/core/Mage/Core/Model/App.php(295): Mage_Core_Model_App->_initCache(Array)
#9 /var/www/magento/app/code/core/Mage/Core/Model/App.php(337): Mage_Core_Model_App->baseInit(Array)
#10 /var/www/magento/app/Mage.php(684): Mage_Core_Model_App->run(Array)
#11 /var/www/magento/index.php(87): Mage::run('default', 'store')
#12 {main}";s:3:"url";s:48:"/";s:11:"script_name";s:10:"/index.php";}
- Magento支持人员已经从Magento方面确认了正确的配置(他们已登录,进行了调查,进行了测试,并声称这是“服务器问题”,而不是Magento问题)
- 我们的主持人(Peer1)有一些Magento专家,他们花了很多时间与我们合作来诊断问题……但仍找不到与RAM,redis配置等资源有关的任何特定问题。
- 我们的RAM已增加一倍,达到64 GB,目前我们有大约20 GB的可用RAM。
- PHP,PHP-FPM正在消耗大量CPU
- 这一切都在Web服务器上,数据库服务器是独立的并且运行良好
这是正常操作期间Top的快照(当未发生错误时)
top - 12:13:47 up 2 days, 16:05, 2 users, load average: 6.51, 7.33, 7.26
Tasks: 639 total, 13 running, 625 sleeping, 0 stopped, 1 zombie
Cpu(s): 47.7%us, 1.1%sy, 0.0%ni, 50.9%id, 0.0%wa, 0.0%hi, 0.2%si, 0.0%st
Mem: 65937660k total, 41186844k used, 24750816k free, 551968k buffers
Swap: 8388604k total, 0k used, 8388604k free, 13040128k cached
PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND
29720 nginx 20 0 1927m 553m 12m R 99.6 0.9 615:37.52 php
8638 nginx 20 0 1532m 146m 9236 R 98.3 0.2 4:01.43 php-fpm
8618 nginx 20 0 1582m 195m 8268 R 96.3 0.3 4:06.96 php-fpm
8664 nginx 20 0 1521m 144m 6932 S 96.0 0.2 4:12.06 php-fpm
8699 nginx 20 0 1582m 196m 9508 R 94.0 0.3 3:33.90 php-fpm
8740 nginx 20 0 1581m 194m 8188 R 94.0 0.3 4:05.63 php-fpm
8735 nginx 20 0 1583m 196m 9204 R 90.4 0.3 4:27.89 php-fpm
8634 nginx 20 0 1582m 195m 8080 R 81.4 0.3 4:07.25 php-fpm
8727 nginx 20 0 1529m 141m 9076 S 73.8 0.2 4:54.04 php-fpm
8597 nginx 20 0 1529m 143m 8020 S 62.6 0.2 3:56.57 php-fpm
8743 nginx 20 0 1518m 132m 9204 R 51.0 0.2 4:10.01 php-fpm
8601 nginx 20 0 1517m 132m 9284 S 48.7 0.2 4:04.32 php-fpm
8611 nginx 20 0 1530m 143m 8104 S 38.7 0.2 4:12.82 php-fpm
8614 nginx 20 0 1511m 124m 8216 R 28.1 0.2 3:26.96 php-fpm
8714 nginx 20 0 1532m 145m 8260 S 27.5 0.2 4:15.64 php-fpm
8684 nginx 20 0 1528m 142m 8232 R 22.8 0.2 4:01.39 php-fpm
8700 nginx 20 0 1519m 142m 5216 R 22.8 0.2 4:44.06 php-fpm
8691 nginx 20 0 1532m 146m 8208 R 19.5 0.2 4:32.76 php-fpm
8622 nginx 20 0 1533m 146m 8216 S 16.2 0.2 4:57.07 php-fpm
9134 redis 20 0 880m 175m 888 S 4.6 0.3 36:39.15 redis-server
9112 redis 20 0 1192m 354m 880 S 2.6 0.6 57:50.85 redis-server
8566 nginx 20 0 93340 5084 1784 S 1.0 0.0 0:02.75 nginx
这是我们用于Redis的Magento配置:
<!-- redis cache -->
<cache>
<backend>Cm_Cache_Backend_Redis</backend>
<backend_options>
<server>127.0.0.1</server>
<port>6379</port>
<database>0</database>
<password></password>
<force_standalone>0</force_standalone>
<connect_retries>1</connect_retries>
<automatic_cleaning_factor>0</automatic_cleaning_factor>
<compress_data>1</compress_data>
<compress_tags>1</compress_tags>
<compress_threshold>20480</compress_threshold>
<compression_lib>gzip</compression_lib>
<persistent></persistent>
<read_timeout>10</read_timeout>
</backend_options>
</cache>
<!-- redis full page cache -->
<full_page_cache>
<backend>Cm_Cache_Backend_Redis</backend>
<backend_options>
<server>127.0.0.1</server>
<port>6380</port>
<database>1</database>
<password></password>
<force_standalone>0</force_standalone>
<connect_retries>1</connect_retries>
<automatic_cleaning_factor>0</automatic_cleaning_factor>
<compress_data>0</compress_data>
<lifetimelimit>57600</lifetimelimit>
<persistent></persistent>
<read_timeout>10</read_timeout>
</backend_options>
</full_page_cache>
我查看了Redis慢日志,发现大量(看似)大量的保存需要一段时间。...请注意,只有全页缓存实例在慢日志中具有任何条目。这些正常吗? 这些是整页缓存实例。这是慢速日志中250个条目的两个示例:
7) 1) (integer) 356
2) (integer) 1429287105
3) (integer) 40685
4) 1) "DEL"
2) "zc:k:e84_REQEST_91D0FF548C77B6F58148AF6A7F586C58"
3) "zc:k:e84_REQEST_8212780F50033B79092F556EE14C1E6E"
4) "zc:k:e84_REQEST_86DCFE6E580707552F38B507272FD2FA"
5) "zc:k:e84_REQEST_FE69215CAA18AA2D33DE6DE2E31F7491"
6) "zc:k:e84_1ED6001E13E4EEA9AB6E19EEC6742A89_1_3_745"
7) "zc:k:e84_REQEST_45ACA3435B0016847D4B060C6436B366"
8) "zc:k:e84_REQEST_985ED12A38AFD74402B159AF8B1B5741"
9) "zc:k:e84_REQEST_11022B655050F20ED54B4AE51EF12CE6"
10) "zc:k:e84_REQEST_26CA3F7EA8612325E845B3B236E0CCFE"
11) "zc:k:e84_REQEST_646FBF4016B630643F3D06C2162721F6_METADATA"
12) "zc:k:e84_REQEST_29C5D2EC342997382A7DB7DF7DDD2F6D"
13) "zc:k:e84_REQEST_F8A6D1AF029997A51F3D1A4E2F3CB725"
14) "zc:k:e84_REQEST_8DBB0D20DDFC426B089F52432757C47E"
15) "zc:k:e84_REQEST_5EA7B23B0B309045EB6A81EF4B9E6A66_METADATA"
16) "zc:k:e84_REQEST_EA531324268EF209504816504B114FAC"
17) "zc:k:e84_REQEST_7C659A3F9178A62AED9B0499AEED0130"
18) "zc:k:e84_REQEST_6807CA64C0FF1C29B4069BF3B472252B"
19) "zc:k:e84_8C636CBFA6DB338DD11F600771E54FAC_1_3_43_288"
20) "zc:k:e84_REQEST_E062EAC26446FACE3025FC6AE1E632A9"
21) "zc:k:e84_7D5DE581F27790730C0E000F9D69F2E3_1_3_53_53"
22) "zc:k:e84_REQEST_C4F854BA432A2884E49A1BA245D756A5"
23) "zc:k:e84_REQEST_922C03E387E66DF9EBBCE0186BD67C3C"
24) "zc:k:e84_REQEST_503B90ED3CBE43438A0C740A68B1E576_METADATA"
25) "zc:k:e84_REQEST_7B9B9FAAE5FA78DB6934DC0658BC5D83"
26) "zc:k:e84_REQEST_E8FE8236DDA57C9830B7843623310E86"
27) "zc:k:e84_REQEST_5826188B159CBCD0E7E9BFBE3BB1D599"
28) "zc:k:e84_REQEST_37F7CBE45FEF49E4D7F38ECE4B760996"
29) "zc:k:e84_REQEST_AACD280C3AB5E27760E80A4D1888AD1F"
30) "zc:k:e84_REQEST_47CE15DD5D5391B1413F5ECF150533DB"
31) "zc:k:e84_REQEST_E261C23C996BC8D45111F2A23DDED93A"
32) "... (1633 more arguments)"
10) 1) (integer) 353
2) (integer) 1429285945
3) (integer) 37193
4) 1) "DEL"
2) "zc:k:e84_REQEST_92BAB7E07D28861B459120B0CDCF0AD7"
3) "zc:k:e84_REQEST_32FC6F43EABA88A2E665630C189A751C"
4) "zc:k:e84_REQEST_55E596F3198540E5E249CB2A4C2690D1"
5) "zc:k:e84_REQEST_B5F8BD16ED9D77245DC1FE0201FE1B1B"
6) "zc:k:e84_REQEST_CBBFFAEAABE47237EF465B6D00BE39F7"
7) "zc:k:e84_REQEST_D5BD191B4E0389F1C60271CCD33163BE"
8) "zc:k:e84_1ED6001E13E4EEA9AB6E19EEC6742A89_1_3_745"
9) "zc:k:e84_REQEST_E498601DC7D6D799B358A8B5A86FC783"
10) "zc:k:e84_REQEST_6A6D07696354D06F1414F3F7A5A3967A"
11) "zc:k:e84_REQEST_EB6E820EA5D8598C008BA4A94C2AC904"
12) "zc:k:e84_REQEST_EEACD0C782C80044325B4E04D32E0F34"
13) "zc:k:e84_REQEST_8CD8334B055C58AD92208DB9BE0F9D1D_METADATA"
14) "zc:k:e84_REQEST_70EFDB6D70BE88D367B0C48629E561FE"
15) "zc:k:e84_REQEST_B9FF6FA7A3CFE8B1F1521A73DF71D308"
16) "zc:k:e84_REQEST_14310D5749525D4828E6B6D2F090A366"
17) "zc:k:e84_REQEST_0CE5E095669A57D17FD780A3BA72A84F_METADATA"
18) "zc:k:e84_REQEST_28B2C39A828640D0B1A49E77A56F6A09"
19) "zc:k:e84_REQEST_17EF76BC89E5EE5DDDB0D752514BBCC4"
20) "zc:k:e84_REQEST_76B91839CA4F29C45E4628C67A8FEFDE"
21) "zc:k:e84_REQEST_F4D7B7D455BF29C8A281D6CC387A86D9"
22) "zc:k:e84_7878AC51A7ECCF1F57E2E74B6FF3CD20_1_3_10_750"
23) "zc:k:e84_REQEST_90B19F2BBC6EA90C7AC1F91242C316A8"
24) "zc:k:e84_8C636CBFA6DB338DD11F600771E54FAC_1_3_43_288"
25) "zc:k:e84_REQEST_0C95AC5E87D3F74F62A1FBE5B822A9B2"
26) "zc:k:e84_7D5DE581F27790730C0E000F9D69F2E3_1_3_53_53"
27) "zc:k:e84_REQEST_3B852462504D3226F5F73D387C0C250F"
28) "zc:k:e84_REQEST_5A5403A3603FD208332F9CBD631C8B4B_METADATA"
29) "zc:k:e84_REQEST_B8152798A9D1F3C4C45C876FC9F2942A"
30) "zc:k:e84_REQEST_2E12C5B2DD8B55BB5D4343DF9241EA29"
31) "zc:k:e84_REQEST_B241A180FBB7E511A74C2129667C2BAD"
32) "... (3272 more arguments)"
1
您是否看过github.com/colinmollenhour/Cm_Cache_Backend_Redis/issues/18
—
David Manners
首先-升级redis和phpredis,然后将压缩lib更改为lzf或snappy,然后由于错误的代码,PHP-FPM消耗了大量CPU,或者您的某个地方运行了恶性循环,运行了探查器或数据库监视,并且仅供参考-在PEER1,没有专家,不幸的是,他们能做的一切都是强迫客户购买昂贵的昂贵服务器,以希望大量内存可以解决这些问题……
我可以看看你
—
DarkMukke '16
/etc/php-fpm.d/www.conf
吗?
这就是为什么在生产环境中运行时,人们通常拥有多于一台服务器。通常情况下,1个具有大量CPU的WEB,1个具有大量RAM的DB和1个具有大量CPU和大量RAM的CACHE(redis,清漆...)。
—
Toan Nguyen
您是否尝试将<connect_retries> 1 </ connect_retries>提高到更高的数字,例如3?
—
AnnaVölkl'17