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本篇内容主要讲解“怎么将nginx日志导入elasticsearch”，感兴趣的朋友不妨来看看。本文介绍的方法操作简单快捷，实用性强。下面就让小编来带大家学习“怎么将nginx日志导入elasticsearch”吧!
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将nginx日志通过filebeat收集后传入logstash，经过logstash处理后写入elasticsearch。filebeat只负责收集工作，logstash完成日志的格式化，数据的替换，拆分 ，以及将日志写入elasticsearch后的索引的创建。
1、配置nginx日志格式
log_format main '$remote_addr $http_x_forwarded_for [$time_local] $server_name $request ' '$status $body_bytes_sent $http_referer ' '"$http_user_agent" ' '"$connection" ' '"$http_cookie" ' '$request_time ' '$upstream_response_time';
2、安装配置filebeat，启用nginx module
tar -zxvf filebeat-6.2.4-linux-x86_64.tar.gz -c /usr/local cd /usr/local;ln -s filebeat-6.2.4-linux-x86_64 filebeat cd /usr/local/filebeat
启用nginx模块
./filebeat modules enable nginx
查看模块
./filebeat modules list
创建配置文件
vim /usr/local/filebeat/blog_module_logstash.yml filebeat.modules: - module: nginx access: enabled: true var.paths: ["/home/weblog/blog.cnfol.com_access.log"] #error: # enabled: true # var.paths: ["/home/weblogerr/blog.cnfol.com_error.log"] output.logstash: hosts: ["192.168.15.91:5044"]
启动filebeat
./filebeat -c blog_module_logstash.yml -e
3、配置logstash
tar -zxvf logstash-6.2.4.tar.gz /usr/local cd /usr/local;ln -s logstash-6.2.4 logstash 创建一个nginx日志的pipline文件 cd /usr/local/logstash
logstash内置的模板目录
vendor/bundle/jruby/2.3.0/gems/logstash-patterns-core-4.1.2/patterns
编辑 grok-patterns 添加一个支持多ip的正则
forword (?:%{ipv4}[,]?[ ]?)+|%{word}官方grok
#
创建logstash pipline配置文件
#input {
# stdin {}
#}
# 从filebeat接受数据
input {
beats {
port => 5044
host => "0.0.0.0"
}
}
filter {
# 添加一个调试的开关
mutate{add_field => {"[@metadata][debug]"=>true}}
grok {
# 过滤nginx日志
#match => { "message" => "%{nginxaccess_test2}" }
#match => { "message" => '%{iporhost:clientip} # (?[^\#]*) # \[%{httpdate:[@metadata][webtime]}\] # %{notspace:hostname} # %{word:verb} %{uripathparam:request} http/%{number:httpversion} # %{number:response} # (?:%{number:bytes}|-) # (?:"(?:%{notspace:referrer}|-)"|%{notspace:referrer}|-) # (?:"(?[^#]*)") # (?:"(?:%{number:connection}|-)"|%{number:connection}|-) # (?:"(?[^#]*)") # %{number:request_time:float} # (?:%{number:upstream_response_time:float}|-)' }
#match => { "message" => '(?:%{iporhost:clientip}|-) (?:%{two_ip:http_x_forwarded_for}|%{ipv4:http_x_forwarded_for}|-) \[%{httpdate:[@metadata][webtime]}\] (?:%{hostname:hostname}|-) %{word:method} %{uripathparam:request} http/%{number:httpversion} %{number:response} (?:%{number:bytes}|-) (?:"(?:%{notspace:referrer}|-)"|%{notspace:referrer}|-) %{qs:agent} (?:"(?:%{number:connection}|-)"|%{number:connection}|-) (?:"(?[^#]*)") %{number:request_time:float} (?:%{number:upstream_response_time:float}|-)' }
match => { "message" => '(?:%{iporhost:clientip}|-) %{forword:http_x_forwarded_for} \[%{httpdate:[@metadata][webtime]}\] (?:%{hostname:hostname}|-) %{word:method} %{uripathparam:request} http/%{number:httpversion} %{number:response} (?:%{number:bytes}|-) (?:"(?:%{notspace:referrer}|-)"|%{notspace:referrer}|-) %{qs:agent} (?:"(?:%{number:connection}|-)"|%{number:connection}|-) %{qs:cookie} %{number:request_time:float} (?:%{number:upstream_response_time:float}|-)' }
}
# 将默认的@timestamp(beats收集日志的时间)的值赋值给新字段@read_tiimestamp
ruby {
#code => "event.set('@read_timestamp',event.get('@timestamp'))"
#将时区改为东8区
code => "event.set('@read_timestamp',event.get('@timestamp').time.localtime + 8*60*60)"
}
# 将nginx的日志记录时间格式化
# 格式化时间 20/may/2015:21:05:56 +0000
date {
locale => "en"
match => ["[@metadata][webtime]","dd/mmm/yyyy:hh:mm:ss z"]
}
# 将bytes字段由字符串转换为数字
mutate {
convert => {"bytes" => "integer"}
}
# 将cookie字段解析成一个json
#mutate {
# gsub => ["cookies",'\;',',']
#}
# 如果有使用到CDN加速http_x_forwarded_for会有多个ip，第一个ip是用户真实ip
if[http_x_forwarded_for] =~ ", "{
ruby {
code => 'event.set("http_x_forwarded_for", event.get("http_x_forwarded_for").split(",")[0])'
}
}
# 解析ip，获得ip的地理位置
geoip {
source => "http_x_forwarded_for"
# # 只获取ip的经纬度、国家、城市、时区
fields => ["location","country_name","city_name","region_name"]
}
# 将agent字段解析,获得浏览器、系统版本等具体信息
useragent {
source => "agent"
target => "useragent"
}
#指定要删除的数据
#mutate{remove_field=>["message"]}
# 根据日志名设置索引名的前缀
ruby {
code => 'event.set("@[metadata][index_pre]",event.get("source").split("/")[-1])'
}
# 将@timestamp 格式化为2019.04.23
ruby {
code => 'event.set("@[metadata][index_day]",event.get("@timestamp").time.localtime.strftime("%y.%m.%d"))'
}
# 设置输出的默认索引名
mutate {
add_field => {
#"[@metadata][index]" => "%{@[metadata][index_pre]}_%{+yyyy.mm.dd}"
"[@metadata][index]" => "%{@[metadata][index_pre]}_%{@[metadata][index_day]}"
}
}
# 将cookies字段解析成json
# mutate {
# gsub => [
# "cookies", ";", ",",
# "cookies", "=", ":"
# ]
# #split => {"cookies" => ","}
# }
# json_encode {
# source => "cookies"
# target => "cookies_json"
# }
# mutate {
# gsub => [
# "cookies_json", ',', '","',
# "cookies_json", ':', '":"'
# ]
# }
# json {
# source => "cookies_json"
# target => "cookies2"
# }
# 如果grok解析存在错误，将错误独立写入一个索引
if "_grokparsefailure" in [tags] {
#if "_dateparsefailure" in [tags] {
mutate {
replace => {
#"[@metadata][index]" => "%{@[metadata][index_pre]}_failure_%{+yyyy.mm.dd}"
"[@metadata][index]" => "%{@[metadata][index_pre]}_failure_%{@[metadata][index_day]}"
}
}
# 如果不存在错误就删除message
}else{
mutate{remove_field=>["message"]}
}
}
output {
if [@metadata][debug]{
# 输出到rubydebuyg并输出metadata
stdout{codec => rubydebug{metadata => true}}
}else{
# 将输出内容转换成 "."
stdout{codec => dots}
# 将输出到指定的es
elasticsearch {
hosts => ["192.168.15.160:9200"]
index => "%{[@metadata][index]}"
document_type => "doc"
}
}
} 启动logstash
nohup bin/logstash -f test_pipline2.conf &
到此，相信大家对“怎么将nginx日志导入elasticsearch”有了更深的了解，不妨来实际操作一番吧！这里是创新互联网站，更多相关内容可以进入相关频道进行查询，关注我们，继续学习！