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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:

我可以实现哪些过滤器/grok 方法将它们分成不同的字段？如果我使用分号作为分隔符，最后一行数据会有所不同，因为分号比其他行多。我应该使用 If else 语句将其分开吗？

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1 回答 1

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看起来像是grok和kv过滤器的典型用例。

首先使用 grok 过滤器来分隔您的字段。将最后一部分（键值对）放入一个字段中。使用grok 调试器找到正确的模式。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。像这样的东西可能会起作用：

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

尝试一下，也许稍微调整一下，你应该能够正确解析所有日志行。

于 2015-08-17T08:33:19.877 回答