nginx----統計網站訪問量
阿新 • • 發佈：2018-12-14
1.定義nginx日誌格式
log_format main '$remote_addr - [$time_local] "$request" '
' - $status "User_Cookie:$http_cookie" ';
2.定義access日誌的輸出位置和呼叫哪個日誌模板
access_log logs/access.log main;
日誌內容是這樣的，最後會顯示使用者的cookie192.168.40.2 - [02/Nov/2016:15:44:35 +0800] "GET /wcm/app/main/refresh.jsp?r=1478072325778 HTTP/1.1" - 200 "User_Cookie:7F00000122A5597C46607B1C0A7EC016" 192.168.40.2 - [02/Nov/2016:15:44:35 +0800] "GET /webpic/W0201611/W020161102/W020161102566715167404.jpg HTTP/1.1" - 200 "User_Cookie:7F00000122A5597C46607B1C0A7EC016" 119.255.31.109 - [02/Nov/2016:15:44:36 +0800] "GET /wcm/app/main/refresh.jsp?r=1478072510132 HTTP/1.1" - 200 "User_Cookie:7F000001237921BE9237838AEC65704D" 119.255.31.109 - [02/Nov/2016:15:44:36 +0800] "GET /wcm/app/message/message_query_service.jsp?READFLAG=0&MSGTYPES=1%2C2%2C3 HTTP/1.1" - 200 "User_Cookie:7F000001237921BE9237838AEC65704D" 192.168.40.2 - [02/Nov/2016:15:44:37 +0800] "GET /wcm/app/message/message_query_service.jsp?READFLAG=0&MSGTYPES=1%2C2%2C3 HTTP/1.1" - 200 "User_Cookie:7F00000123D3BF2345115EAAC21F71E0" 192.168.40.2 - [02/Nov/2016:15:44:37 +0800] "GET /wcm/app/message/message_query_service.jsp?READFLAG=0&MSGTYPES=1%2C2%2C3 HTTP/1.1" - 200 "User_Cookie:7F00000123EF73896DF98EDA9950944E" 192.168.40.2 - [02/Nov/2016:15:44:37 +0800] "GET /wcm/app/message/message_query_service.jsp?READFLAG=0&MSGTYPES=1%2C2%2C3 HTTP/1.1" - 200 "User_Cookie:7F00000123FE0F9C397E1A8F0C4F044B" 192.168.40.2 - [02/Nov/2016:15:44:37 +0800] "GET /wcm/app/main/refresh.jsp?r=1478072511427 HTTP/1.1" - 200 "User_Cookie:7F00000123A465B7EA1DE0AF0AE671B7" 119.255.31.109 - [02/Nov/2016:15:44:38 +0800] "GET /wcm/app/message/message_query_service.jsp?READFLAG=0&MSGTYPES=1%2C2%2C3 HTTP/1.1" - 200 "User_Cookie:7F00000123D89B11302DF80AE773C900"
接下來的思路就很簡單，如果統計pv，就直接統計日誌的行數，如果統計UV，就根據cookie去重。
PV統計
可統計單個連結地址訪問量：
grep index.shtml host.access.log | wc -l
總PV量：
awk '{print $6}' host.access.log | wc -l
獨立IP：
awk '{print $1}' host.access.log | sort -r |uniq -c | wc -l
UV統計：
awk '{print $10}' host.access.log | sort -r |uniq -c |wc -l