我在Logstash中具有以下过滤器,用于分析AWS ELB访问日志:
filter {
grok {
match => [ "message", '%{TIMESTAMP_ISO8601:timestamp} %{NOTSPACE:loadbalancer} %{IP:client_ip}:%{NUMBER:client_port:int} (?:%{IP:backend_ip}:%{NUMBER:backend_port:int}|-) %{NUMBER:request_processing_time:float} %{NUMBER:backend_processing_time:float} %{NUMBER:response_processing_time:float} (?:%{NUMBER:elb_status_code:int}|-) (?:%{NUMBER:backend_status_code:int}|-) %{NUMBER:received_bytes:int} %{NUMBER:sent_bytes:int} "(?:%{WORD:verb}|-) (?:%{GREEDYDATA:request}|-) (?:HTTP/%{NUMBER:httpversion}|-( )?)" "%{DATA:userAgent}"( %{NOTSPACE:ssl_cipher} %{NOTSPACE:ssl_protocol})?' ]
}
}
这会在Elasticsearch中产生多个字段,其中一个是request,可能的值为
https://api.example.net:443/v2/domain.com/actions?somefield=somevalue
是否有使用正则表达式添加第二个grok过滤器以对该字段进行操作的方法,然后才将其索引到ES,以便提取domain.com和v2并将其索引到各自的索引中字段?
正如leandropjmp所建议的,两个单独的grok块完成了我想要的。这是我一直在寻找的完整解决方案:
filter {
grok {
match => [ "message", '%{TIMESTAMP_ISO8601:timestamp} %{NOTSPACE:loadbalancer} %{IP:client_ip}:%{NUMBER:client_port:int} (?:%{IP:backend_ip}:%{NUMBER:backend_port:int}|-) %{NUMBER:request_processing_time:float} %{NUMBER:backend_processing_time:float} %{NUMBER:response_processing_time:float} (?:%{NUMBER:elb_status_code:int}|-) (?:%{NUMBER:backend_status_code:int}|-) %{NUMBER:received_bytes:int} %{NUMBER:sent_bytes:int} "(?:%{WORD:verb}|-) (?:%{GREEDYDATA:request}|-) (?:HTTP/%{NUMBER:httpversion}|-( )?)" "%{DATA:userAgent}"( %{NOTSPACE:ssl_cipher} %{NOTSPACE:ssl_protocol})?' ]
}
grok {
match => [ "request", '(/(?<request_endpoint>[^/]+)+/(?<request_version>[^/]+)+/(?<request_domain>[^/]+)/(?<request_api>[^/!\?]+))' ]
}
}