logstash收集慢查询日志配置

此配置参考了来自http://www.wklken.me/posts/2016/05/24/elk-mysql-slolog.html 做了修改

ELK架构采用 logstash-kafka-logstash-elasticsearch-kibana

第一层logstash只做收集功能，第二层logstash做filter功能

---

 

客户端logstash配置：

 

input {


  file {
    path => ["/tmp/mysql_slow.log"]
    type => "ops_mysql_slow_log"
    #start_position=>"beginning"
    add_field => ["env", "PRODUCT"]
   #超过5秒自动上传，避免没有触发multline功能
    codec => multiline {
      pattern => "^# User@Host:"
      negate => true
      what => previous
      max_bytes => "100kib"
      auto_flush_interval => 5
    }
  }
 
}



output {
#  stdout {}
    if [type] == "ops_mysql_slow_log" {
         kafka{
        topic_id => "mysql_slow_all_log"
        bootstrap_servers => "kafka1:9092" # kafka的地址
        compression_type => "gzip"
    }
    }
   
}

---

服务端配置

input {
      kafka {
        group_id => "logstash"
        topic_id => "mysql_slow_all_log"
        consumer_threads => 15
        #decorate_events => true
        zk_connect => "kafk1:2181" # zookeeper的地址
   }  
}



filter {
  if ("multiline_codec_max_bytes_reached" in [tags]) {
      drop {}
  }
  if [type] =~ ".*_mysql_slow_log"{
   grok {
    # User@Host: logstash[logstash] @ localhost [127.0.0.1]
    # User@Host: logstash[logstash] @  [127.0.0.1]
    # User@Host: logstash[logstash] @ localhost []
    match => [ "message", "^# User@Host: (?<user>[^\[]+)\[[^\]]+] @ (?<dbhost>[^\s]+)? \[%{IP:ip}?\]" ]
  }
 grok {
    # Query_time: 2.985827  Lock_time: 0.000053 Rows_sent: 0  Rows_examined: 0
    match => [ "message", "^# Query_time: %{NUMBER:duration:float}%{SPACE}Lock_time: %{NUMBER:lock_wait:float}%{SPACE}Rows_sent: %{NUMBER:results:int}%{SPACE}Rows_examined:%{SPACE}%{NUMBER:scanned:int}\s+(?<sql>[\s\S]*)"]
  }

  # Capture the time the query happened
  grok {
    match => [ "message", "^SET timestamp=%{NUMBER:dbtimestamp};" ]
  }
# if codec multiline parse failure
#出现# Time: 170807 14:48:27 类似的数据 进行清理
  if ("_grokparsefailure" in [tags]) {
      drop {}
  }
  date {
    match => [ "dbtimestamp", "UNIX" ]
  }

  mutate {
    gsub => [
        "sql", "\nSET timestamp=\d+?;\n", "",
        "sql", "\nuse [a-zA-Z0-9\-\_]+?;", "",
        "sql", "\n# Time: \d+\s+\d+:\d+:\d+", "",
        "sql", "\n/usr/local/mysql/bin/mysqld.+$", "",
        "sql", "\nTcp port:.+$", "",
        "sql", "\nTime .+$", ""
    ]
  }



  # calculate unique hash
  mutate {
    add_field => {"sql_for_hash" => "%{sql}"}
  }
  mutate {
    gsub => [
        "sql_for_hash", "'.+?'", "",
        "sql_for_hash", "-?\d*\.{0,1}\d+", ""
    ]
  }
  checksum {
    algorithm => "md5"
    keys => ["sql_for_hash"]
  }

  # Drop the captured timestamp field since it has been moved to the time of the event
  mutate {
 #    TODO: remove the message field
  #  remove_field => ["timestamp", "message", "sql_for_hash"]
    remove_field => ["dbtimestamp", "sql_for_hash"]
  }
  }
 
}

output {
    if [type] =~ ".*_mysql_slow_log"   {
    elasticsearch {
        hosts => ["localhost:9200"]
        codec => "json"
        workers => 20
        index => "logstash-mysql-slow-log-%{+YYYY.MM.dd}"
                        }
       }
}