ELK logstash 处理MySQL慢查询日志

介绍

在生产环境下，logstash 经常会遇到处理多种格式的日志，不同的日志格式，解析方法不同。下面来说说logstash处理多行日志的例子，对MySQL慢查询日志进行分析，这个经常遇到过，网络上疑问也很多。
MySQL慢查询日志格式如下：

 User@Host: ttlsa[ttlsa] @  [10.4.10.12]  Id: 69641319
# Query_time: 0.000148  Lock_time: 0.000023 Rows_sent: 0  Rows_examined: 202
SET timestamp=1456717595;
select  `Id`, `Url` from `File` where `Id` in ('201319', '201300');
# Time: 160229 11:46:37

1、filebeat配置‍：

我这里是使用filebeat 1.1.1版本的，之前版本没有multiline配置项，具体方法看后面那种。

filebeat:
  prospectors:
    -
      paths:
        - /www.ttlsa.com/logs/mysql/slow.log
      document_type: mysqlslowlog
      input_type: log
      multiline:
        negate: true
        match: after
  registry_file: /var/lib/filebeat/registry
output:
  logstash:
    hosts: ["10.6.66.14:5046"]
shipper:
logging:
  files:
logstash配置

2、logstash配置

input段配置

# vi /etc/logstash/conf.d/01-beats-input.conf 
input {
  beats {
    port => 5046
    host => "10.6.66.14"
 }
}

filter 段配置

# vi /etc/logstash/conf.d/16-mysqlslowlog.log filter {  if [type] == "mysqlslowlog" {  grok {    match => { "message" => "(?m)^#\s+User@Host:\s+%{USER:user}\[[^\]]+\]\s+@\s+(?:(?<clienthost>\S*) )?\[(?:%{IPV4:clientip})?\]\s+Id:\s+%{NUMBER:row_id:int}\n#\s+Query_time:\s+%{NUMBER:query_time:float}\s+Lock_time:\s+%{NUMBER:lock_time:float}\s+Rows_sent:\s+%{NUMBER:rows_sent:int}\s+Rows_examined:\s+%{NUMBER:rows_examined:int}\n\s*(?:use %{DATA:database};\s*\n)?SET\s+timestamp=%{NUMBER:timestamp};\n\s*(?<sql>(?<action>\w+)\b.*;)\s*(?:\n#\s+Time)?.*$" }  }    date {      match => [ "timestamp", "UNIX", "YYYY-MM-dd HH:mm:ss"]      remove_field => [ "timestamp" ]    }  }}

关键之重是grok正则的配置。

output段配置

# vi /etc/logstash/conf.d/30-beats-output.conf 
output {
    if "_grokparsefailure" in [tags] {
      file { path => "/var/log/logstash/grokparsefailure-%{[type]}-%{+YYYY.MM.dd}.log" }
    }

  if [@metadata][type] in [ "mysqlslowlog" ] {
    elasticsearch {
      hosts => ["10.6.66.14:9200"]
      sniffing => true
      manage_template => false
      template_overwrite => true
      index => "%{[@metadata][beat]}-%{[type]}-%{+YYYY.MM.dd}"
      document_type => "%{[@metadata][type]}"
    }
  }
}

标准输出结果截图

elasticsearch结果截图


如果是使用filebeat1.1.1之前的版本，配置如下：
1. filebeat配置

filebeat:
  prospectors:
    -
      paths:
        - /www.ttlsa.com/logs/mysql/slow.log
      document_type: mysqlslowlog
      input_type: log
  registry_file: /var/lib/filebeat/registry
output:
  logstash:
    hosts: ["10.6.66.14:5046"]
shipper:
logging:
  files:

2. logstash input段配

input {
  beats {
    port => 5046
    host => "10.6.66.14"
    codec => multiline {
      pattern => "^# User@Host:"
      negate => true
      what => previous
    }
 }
}

其它配置不变。

来源：http://www.ttlsa.com/elk/elk-logstash-process-mysql-slowlog/

参考连接 ：

ELK logstash 处理MySQL慢查询日志 ： https://mp.weixin.qq.com/s/ii1mu18WazEHezRMQImfwA