ELK logstash 处理MySQL慢查询日志

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：

 

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# 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

 

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。

 

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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

1. input段配置

 

 

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

 

2. filter 段配置

 

 

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# 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。

3. output段配置

 

 

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# 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

 

 

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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段配置

 

 

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

其它配置不变。

如有疑问跟帖，或者加群沟通。