Csv logstash上的过滤/过滤方法

假设我有这个日志文件：

Jan 1 22:54:17 drop   %LOGSOURCE% >eth1 rule: 7; rule_uid: {C1336766-9489-4049-9817-50584D83A245}; src: 70.77.116.190; dst: %DSTIP%; proto: tcp; product: VPN-1 & FireWall-1; service: 445; s_port: 2612;
Jan 1 22:54:22 drop   %LOGSOURCE% >eth1 rule: 7; rule_uid: {C1336766-9489-4049-9817-50584D83A245}; src: 61.164.41.144; dst: %DSTIP%; proto: udp; product: VPN-1 & FireWall-1; service: 5060; s_port: 5069;
Jan 1 22:54:23 drop   %LOGSOURCE% >eth1 rule: 7; rule_uid: {C1336766-9489-4049-9817-50584D83A245}; src: 69.55.245.136; dst: %DSTIP%; proto: tcp; product: VPN-1 & FireWall-1; service: 445; s_port: 2970;
Jan 1 22:54:41 drop   %LOGSOURCE% >eth1 rule: 7; rule_uid: {C1336766-9489-4049-9817-50584D83A245}; src: 95.104.65.30; dst: %DSTIP%; proto: tcp; product: VPN-1 & FireWall-1; service: 445; s_port: 2565;
Jan 1 22:54:43 drop   %LOGSOURCE% >eth1 rule: 7; rule_uid: {C1336766-9489-4049-9817-50584D83A245}; src: 222.186.24.11; dst: %DSTIP%; proto: tcp; product: VPN-1 & FireWall-1; service: 2967; s_port: 6000;
Jan 1 22:54:54 drop   %LOGSOURCE% >eth1 rule: 7; rule_uid: {C1336766-9489-4049-9817-50584D83A245}; src: 74.204.108.202; dst: %DSTIP%; proto: udp; product: VPN-1 & FireWall-1; service: 137; s_port: 53038;
Jan 1 22:55:10 drop   %LOGSOURCE% >eth1 rule: 7; rule_uid: {C1336766-9489-4049-9817-50584D83A245}; src: 71.111.186.26; dst: %DSTIP%; proto: tcp; product: VPN-1 & FireWall-1; service: 445; s_port: 38548;
Jan 1 23:02:56 accept %LOGSOURCE% >eth1 inzone: External; outzone: Local; rule: 3; rule_uid: {723F81EF-75C9-4CBB-8913-0EBB3686E0F7}; service_id: icmp-proto; ICMP: Echo Request; src: 24.188.22.101; dst: %DSTIP%; proto:

---

我可以实现什么样的过滤器/grok方法来将它们分离到不同的字段中？如果我使用分号作为分隔符，那么最后一行数据的分号会有所不同，因为分号比其他行多。我是否应该使用If-else语句将其分开

看起来像是和过滤器的典型用例

首先使用grok过滤器来分隔字段。将最后一部分（键值对）放入一个字段中。使用以找到正确的图案。这可能是一种方法：

%{CISCOTIMESTAMP:timestamp} %{WORD:action}%{SPACE}%{DATA:logsource} %{DATA:interface} %{GREEDYDATA:kvpairs}

在logstash的配置中：

grok {
    match => [ 'message', '%{CISCOTIMESTAMP:timestamp} %{WORD:action}%{SPACE}%{DATA:logsource} %{DATA:interface} %{GREEDYDATA:kvpairs}' ]
}

之后，使用kv过滤器拆分键值对。类似的方法可能会奏效：

kv {
    source => "kvpairs" # new field generated by grok before
    field_split => "; " # split fields by semicolon
} 

---

试试看，也许再调整一下，你就可以正确解析所有日志行了。

我稍后再试！在这之后，我是否必须自己为kvpairs指定列？否，kv过滤器识别列。因此，每个消息的列可能不同。