前言

需求说明

用ELK收集MySQL的慢查询日志信息,并且使用grok插件将日志信息格式化为json格式。

部署安排

test101——10.0.0.101——部署MySQL、filebeat
test102——10.0.0.102——部署elasticsearch、kibana
test103——10.0.0.103——部署logstash

流程:
filebeat收集本机MySQL慢日志 ==》传送给logstash使用grok插件格式化过滤 ==》过滤后传送给elasticsearch ==》再给kibana进行界面展示
ELK+grok如何收集并格式化MySQL的slow日志?

实验环境版本

系统版本:centos7.3
数据库版本:

本次测试了3个版本数据库
1、yum安装的mariadb5.5(Server version: 5.5.60-MariaDB MariaDB Server)
2、yum安装的mariadb10.4(Server version: 10.4.0-MariaDB-log MariaDB Server)
3、源码安装的MySQL5.7.20

ELK版本:6.5.3

操作步骤(MariaDB5.5.60为例)

1、安装mariadb,准备数据库环境

1.1 安装三分钟时时彩服务

[root@test101 ~]# yum -y install mariadb*     #这样安装默认是5.5.60版本  

1.2 修改配置文件,开启慢查询日志

在/etc/my.conf文件加入下面三行内容,开启慢查询日志:

slow_query_log
long_query_time = 2      #阙值设置成2秒,只要超过2秒的操作,就会写入slow-log文件
slow_query_log_file = "/var/lib/mysql/test101-slow.log"    #设置慢查询日志

重启MySQL

[root@test101 ~]# systemctl restart mysql 

1.3 创建测试库,导入数据

1)先创建一个大数据量的文件:

[root@test101 ~]# seq 1 19999999 > /tmp/big

2)登录数据库创建测试数据库:

[root@test101 ~]# mysql
MariaDB [(none)]> create database test101;     #创建测试库
MariaDB [(none)]> use test101;
MariaDB [test101]> create table table1(id int(10)not null)engine=innodb;    #创建测试表

3)将刚刚创建好的大数据文件/tmp/big导入到MySQL的测试数据库中,生成测试数据表:

MariaDB [test101]> show tables;
+----------------------+
| Tables_in_test101 |
+----------------------+
| table1                   |
+-----------------------+
1 row in set (0.00 sec)

MariaDB [test101]> load data local infile '/tmp/big' into table table1;   #注意:local不能少,少了local可能会报错“ERROR 13 (HY000): Can't get stat of '/tmp/big' (Errcode: 2)”
Query OK, 19999999 rows affected (1 min 47.64 sec)   
Records: 19999999  Deleted: 0  Skipped: 0  Warnings: 0

MariaDB [test101]> 

测试数据导入成功

1.4 生成慢查询日志

在数据库查询一条数据:

MariaDB [test101]> select * from table1 where id=258;
+-----+
| id  |
+-----+
| 258 |
+-----+
1 row in set (11.76 sec)

MariaDB [test101]> 

然后查看慢查询日志文件,已经生成了相应的日志。数据库准备完成:

[root@test101 mysql]# tailf /var/lib/mysql/test101-slow.log 

# Time: 181217 15:23:39
# User@Host: root[root] @ localhost []
# Thread_id: 2  Schema: test101  QC_hit: No
# Query_time: 11.758867  Lock_time: 0.000106  Rows_sent: 1  Rows_examined: 19999999
SET timestamp=1545031419;
select * from table1 where id=258;

2、ELK三分钟时时彩工具 部署

2.1 在test101安装好filebeat、test102安装elasticsearch/kibana

(安装和基础配置可以参考《从0开始搭建ELK及采集日志的简单应用》
需要注意的是filebeat的配置
编辑filebeat配置文件filebeat.yml如下(注意:filebeat.yml默认是输出到elasticsearch,需要注释掉,让它输出到logstash):
配置请手动改,不要直接复制下面的代码!
配置请手动改,不要直接复制下面的代码!
配置请手动改,不要直接复制下面的代码!

下面的代码只是为了显示配置,如果三分钟时时彩你 清空了自己的filebeat.yml,直接用下面的代码,恭喜三分钟时时彩你 ,三分钟时时彩服务 会起不来

#=========================== Filebeat inputs =============================
filebeat.inputs:
- type: log
  enabled: true
  paths:
    - /var/lib/mysql/test101-slow.log
    #- c:\programdata\elasticsearch\logs\*
  multiline.pattern: "^# User@Host:"
  multiline.negate: true
  multiline.match: after

#============================= Filebeat modules ===============================

filebeat.config.modules:
  path: ${path.config}/modules.d/*.yml
  reload.enabled: false
#==================== Elasticsearch template setting ==========================

setup.template.settings:
  index.number_of_shards: 3
#============================== Kibana =====================================
setup.kibana:
#----------------------------- Logstash output --------------------------------
output.logstash:
  # The Logstash hosts
  hosts: ["10.0.0.103:5044"]

#================================ Procesors =====================================
processors:
  - add_host_metadata: ~
  - add_cloud_metadata: ~

2.2 在test103三分钟时时彩服务 器安装好logstash

(安装步骤可以参考《从0开始搭建ELK及采集日志的简单应用》
需要注意的是conf.d下面的logstash-syslog.conf 文件
1)创建logstash采集日志文件:

[root@test103 conf.d]# cat /etc/logstash/conf.d/logstash-syslog.conf 
# Sample Logstash configuration for creating a simple
# Beats -> Logstash -> Elasticsearch pipeline.

input {
  beats {
    port => 5044
  }
}

output {
  elasticsearch {
    hosts => ["http://10.0.0.102:9200"]
    index => "%{[@metadata][beat]}-%{[@metadata][version]}-%{+YYYY.MM.dd}"
    #user => "elastic"
    #password => "changeme"
  }
  stdout {
    codec => rubydebug   #配置这一步,是为了在前台启动logstash时看到实时采集信息
  }

}

2.3 启动三分钟时时彩服务 查看日志采集

启动101三分钟时时彩服务 器的filebeat,102三分钟时时彩服务 器的elasticsearch、前台启动103三分钟时时彩服务 器的logstash,前台查看日志采集

1)在test101三分钟时时彩服务 器的MySQL运行查询语句(注意,运行查询语句之前要保证logstash前台启动已经完成):

MariaDB [test101]> select * from table1 where id=358;

+-----+
| id  |
+-----+
| 358 |
+-----+
1 row in set (13.47 sec)

MariaDB [test101]> 

2)查看test101三分钟时时彩服务 器上慢查询日志已经生成:

[root@test101 mysql]# tailf test101-slow.log 

# Time: 181218  8:58:30
# User@Host: root[root] @ localhost []
# Thread_id: 3  Schema: test101  QC_hit: No
# Query_time: 13.405630  Lock_time: 0.000271  Rows_sent: 1  Rows_examined: 19999999
SET timestamp=1545094710;
select * from table1 where id=358;

3)再查看logstash,已经采集到相关信息(但是上面的6句日志信息,是被分成了6段messages采集的):

[root@test103 logstash]# /usr/share/logstash/bin/logstash -f /etc/logstash/conf.d/logstash-syslog.conf
.......#省略若干行启动信息
[INFO ] 2018-12-18 08:51:48.669 [Api Webserver] agent - Successfully started Logstash API endpoint {:port=>9600}  
#就是出现这个提示的时候才运行上面的mysql查询语句

{
       "message" => "# Time: 181218  8:58:30",
    "@timestamp" => 2018-12-18T00:58:33.396Z,
    "prospector" => {
        "type" => "log"
    },
         "input" => {
        "type" => "log"
    },
      "@version" => "1",
          "host" => {
                   "os" => {
            "codename" => "Core",
            "platform" => "centos",
             "version" => "7 (Core)",
              "family" => "redhat"
        },
                 "name" => "test101",
        "containerized" => true,
         "architecture" => "x86_64",
                   "id" => "9fcb0c7f28e449aabad922d1ba1f0afc"
    },
          "beat" => {
            "name" => "test101",
        "hostname" => "test101",
         "version" => "6.5.3"
    },
          "tags" => [
        [0] "beats_input_codec_plain_applied"
    ],
        "offset" => 252,
        "source" => "/var/lib/mysql/test101-slow.log"
}
{
       "message" => "# User@Host: root[root] @ localhost []",
    "@timestamp" => 2018-12-18T00:58:33.398Z,
    "prospector" => {
        "type" => "log"
    },
         "input" => {
        "type" => "log"
    },
      "@version" => "1",
          "host" => {
        "containerized" => true,
                 "name" => "test101",
         "architecture" => "x86_64",
                   "os" => {
            "codename" => "Core",
            "platform" => "centos",
             "version" => "7 (Core)",
              "family" => "redhat"
        },
                   "id" => "9fcb0c7f28e449aabad922d1ba1f0afc"
    },
          "beat" => {
            "name" => "test101",
         "version" => "6.5.3",
        "hostname" => "test101"
    },
          "tags" => [
        [0] "beats_input_codec_plain_applied"
    ],
        "source" => "/var/lib/mysql/test101-slow.log",
        "offset" => 276
}
{
       "message" => "# Thread_id: 3  Schema: test101  QC_hit: No",
    "@timestamp" => 2018-12-18T00:58:33.398Z,
    "prospector" => {
        "type" => "log"
    },
         "input" => {
        "type" => "log"
    },
      "@version" => "1",
          "host" => {
                   "os" => {
              "family" => "redhat",
            "platform" => "centos",
             "version" => "7 (Core)",
            "codename" => "Core"
        },
                 "name" => "test101",
        "containerized" => true,
         "architecture" => "x86_64",
                   "id" => "9fcb0c7f28e449aabad922d1ba1f0afc"
    },
          "beat" => {
            "name" => "test101",
        "hostname" => "test101",
         "version" => "6.5.3"
    },
          "tags" => [
        [0] "beats_input_codec_plain_applied"
    ],
        "source" => "/var/lib/mysql/test101-slow.log",
        "offset" => 315
}
{
       "message" => "# Query_time: 13.405630  Lock_time: 0.000271  Rows_sent: 1  Rows_examined: 19999999",
    "@timestamp" => 2018-12-18T00:58:33.398Z,
    "prospector" => {
        "type" => "log"
    },
         "input" => {
        "type" => "log"
    },
      "@version" => "1",
          "host" => {
                 "name" => "test101",
         "architecture" => "x86_64",
                   "os" => {
            "codename" => "Core",
            "platform" => "centos",
             "version" => "7 (Core)",
              "family" => "redhat"
        },
        "containerized" => true,
                   "id" => "9fcb0c7f28e449aabad922d1ba1f0afc"
    },
          "beat" => {
            "name" => "test101",
        "hostname" => "test101",
         "version" => "6.5.3"
    },
          "tags" => [
        [0] "beats_input_codec_plain_applied"
    ],
        "source" => "/var/lib/mysql/test101-slow.log",
        "offset" => 359
}
{
       "message" => "SET timestamp=1545094710;",
    "@timestamp" => 2018-12-18T00:58:33.398Z,
    "prospector" => {
        "type" => "log"
    },
         "input" => {
        "type" => "log"
    },
      "@version" => "1",
          "host" => {
        "containerized" => true,
                 "name" => "test101",
         "architecture" => "x86_64",
                   "os" => {
            "codename" => "Core",
            "platform" => "centos",
             "version" => "7 (Core)",
              "family" => "redhat"
        },
                   "id" => "9fcb0c7f28e449aabad922d1ba1f0afc"
    },
          "beat" => {
            "name" => "test101",
        "hostname" => "test101",
         "version" => "6.5.3"
    },
          "tags" => [
        [0] "beats_input_codec_plain_applied"
    ],
        "source" => "/var/lib/mysql/test101-slow.log",
        "offset" => 443
}
{
       "message" => "select * from table1 where id=358;",
    "@timestamp" => 2018-12-18T00:58:33.398Z,
    "prospector" => {
        "type" => "log"
    },
         "input" => {
        "type" => "log"
    },
      "@version" => "1",
          "host" => {
         "architecture" => "x86_64",
                   "os" => {
            "codename" => "Core",
            "platform" => "centos",
             "version" => "7 (Core)",
              "family" => "redhat"
        },
                 "name" => "test101",
        "containerized" => true,
                   "id" => "9fcb0c7f28e449aabad922d1ba1f0afc"
    },
          "beat" => {
            "name" => "test101",
         "version" => "6.5.3",
        "hostname" => "test101"
    },
          "tags" => [
        [0] "beats_input_codec_plain_applied"
    ],
        "source" => "/var/lib/mysql/test101-slow.log",
        "offset" => 469
}

3、日志采集三分钟时时彩优化

因为慢日志里面,一条信息被分成了6段,不便于日志的分析,因此需要将上面采集到的6个messages三分钟时时彩优化 合并成一个

3.1 修改filebeat配置,将上面的6段messages合并成一句日志信息

修改filebeat配置文件,在日志路径后面加入下面三行,然后重启filebeat:

  paths:
    - /var/lib/mysql/test101-slow.log
    #- c:\programdata\elasticsearch\logs\*
    #加入下面三行
  multiline.pattern: "^# User@Host:"
  multiline.negate: true
  multiline.match: after

说明:

multiline.pattern:正则表达式,去匹配指定的一行,这里去匹配的以“# User@Host:”开头的那一行;
multiline.negate:true 或 false;默认是false,就是将multiline.pattern匹配到的那一行合并到上一行;如果配置是true,就是将除了multiline.pattern匹的那一行的其他所有行合并到其上一行;
multiline.match:after 或 before,就是指定将要合并到上一行的内容,合并到上一行的末尾或开头;

3.2 检查修改后的采集日志格式

1)再在MySQL执行一次查询语句:

MariaDB [test101]> select * from table1 where id=368;
+-----+
| id  |
+-----+
| 368 |
+-----+
1 row in set (12.54 sec)

MariaDB [test101]> 

2)查看看查询日志,已经生成日志:

[root@test101 mysql]# tailf test101-slow.log 

# Time: 181218  9:17:42
# User@Host: root[root] @ localhost []
# Thread_id: 3  Schema: test101  QC_hit: No
# Query_time: 12.541603  Lock_time: 0.000493  Rows_sent: 1  Rows_examined: 19999999
SET timestamp=1545095862;
select * from table1 where id=368;

3)查看logstash的实时输出,采集到的日志就变成了一行:

[root@test103 logstash]# /usr/share/logstash/bin/logstash -f /etc/logstash/conf.d/logstash-syslog.conf
.......#省略若干行启动信息
{
       "message" => # User@Host: root[root] @ localhost []\n# Thread_id: 3  Schema: test101  QC_hit: No\n# Query_time: 12.541603  Lock_time: 0.000493  Rows_sent: 1  Rows_examined: 19999999\nSET timestamp=1545095862;\nselect * from table1 where id=368;",   
                   #这一行就是在slow-log中的信息,已经被合并成了一行,慢日志的“"# Time: 181218  9:17:42” 单独成行,在前面没有贴出来
    "prospector" => {
        "type" => "log"
    },
         "input" => {
        "type" => "log"
    },
          "host" => {
         "architecture" => "x86_64",
                   "os" => {
            "codename" => "Core",
            "platform" => "centos",
             "version" => "7 (Core)",
              "family" => "redhat"
        },
        "containerized" => true,
                 "name" => "test101",
                   "id" => "9fcb0c7f28e449aabad922d1ba1f0afc"
    },
           "log" => {
        "flags" => [
            [0] "multiline"
        ]
    },
    "@timestamp" => 2018-12-18T01:17:45.336Z,
      "@version" => "1",
          "beat" => {
            "name" => "test101",
        "hostname" => "test101",
         "version" => "6.5.3"
    },
          "tags" => [
        [0] "beats_input_codec_plain_applied"
    ],
        "source" => "/var/lib/mysql/test101-slow.log",
        "offset" => 504
}

4、logstash配置grok插件,格式化分析日志

在实现了上一步骤,即将日志的messages合并之后,就需要采用grok插件将messages格式化成json格式了。

4.1 编辑logstash-syslog.conf文件配置grok插件

编辑logstash-syslog.conf文件,在input和output中间,加入整个filter模块,配置如下:

[root@test103 conf.d]# cat  logstash-syslog.conf
# Sample Logstash configuration for creating a simple
# Beats -> Logstash -> Elasticsearch pipeline.

input {
  beats {
    port => 5044
  }
}

filter {

   #这一步格式化messages为json格式
    grok {
       match => [ "message", "(?m)^# User@Host: %{USER:query_user}\[[^\]]+\] @ (?:(?<query_host>\S*) )?\[(?:%{IP:query_ip})?\]\s# Thread_id:\s+%{NUMBER:thread_id:int}\s+Schema: %{USER:schema}\s+QC_hit: %{WORD:QC_hit}\s*# Query_time: %{NUMBER:query_time:float}\s+Lock_time: %{NUMBER:lock_time:float}\s+Rows_sent: %{NUMBER:rows_sent:int}\s+Rows_examined: %{NUMBER:rows_examined:int}\s*(?:use %{DATA:database};\s*)?SET timestamp=%{NUMBER:timestamp};\s*(?<query>(?<action>\w+)\s+.*)" ]

       }
#这一步是将日志中的时间那一行(如:# Time: 181218  9:17:42)加上一个“drop”的tag
    grok {
        match => { "message" => "# Time: " }
        add_tag => [ "drop" ]
        tag_on_failure => []
    }
#三分钟时时彩删除
标签中含有drop的行。也就是要三分钟时时彩删除
慢日志里面的“# Time: 181218  9:17:42”这样的内容
    if "drop" in [tags] {
        drop {}
    }

#   时间转换
    date {
        match => ["mysql.slowlog.timestamp", "UNIX", "YYYY-MM-dd HH:mm:ss"]
        target => "@timestamp"
        timezone => "Asia/Shanghai"
    }

    ruby {
        code => "event.set('[@metadata][today]', Time.at(event.get('@timestamp').to_i).localtime.strftime('%Y.%m.%d'))"
    }

#三分钟时时彩删除
字段message
    mutate {
        remove_field => [ "message" ]
    }
}

output {
  elasticsearch {
    hosts => ["http://10.0.0.102:9200"]
    #index =>  "%{tags[0]}" 
    index => "%{[@metadata][beat]}-%{[@metadata][version]}-%{+YYYY.MM.dd}"
    #user => "elastic"
    #password => "changeme"
  }
  stdout {
    codec => rubydebug
  }

}

4.2 检查格式化后的日志采集

1)清除elasticsearch的旧索引,保证索引干净:

[root@test102 filebeat]# curl 10.0.0.102:9200/_cat/indices
green open .kibana_1 udOUvbprSnKWUJISwD0r_g 1 0 8 0 74.4kb 74.4kb
[root@test102 filebeat]# 

2)重启filebeat,重新启动logstash前台输出,在mariadb执行查询语句:

MariaDB [test101]> select * from table1 where id=588;
+-----+
| id  |
+-----+
| 588 |
+-----+
1 row in set (13.00 sec)

MariaDB [test101]> 

3)查看慢查询日志已经生成:

[root@test101 mysql]# tailf test101-slow.log 

# Time: 181218 14:39:38
# User@Host: root[root] @ localhost []
# Thread_id: 4  Schema: test101  QC_hit: No
# Query_time: 12.999487  Lock_time: 0.000303  Rows_sent: 1  Rows_examined: 19999999
SET timestamp=1545115178;
select * from table1 where id=588;

4)查看logstash的实时采集输出,已经是json格式了:

[INFO ] 2018-12-18 14:25:02.802 [Api Webserver] agent - Successfully started Logstash API endpoint {:port=>9600}

{
           "QC_hit" => "No",
        "rows_sent" => 1,
           "action" => "select",
            "input" => {
        "type" => "log"
    },
           "offset" => 1032,
         "@version" => "1",
       "query_host" => "localhost",
             "beat" => {
            "name" => "test101",
        "hostname" => "test101",
         "version" => "6.5.3"
    },
            "query" => "select * from table1 where id=428;",
       "@timestamp" => 2018-12-18T06:25:34.017Z,
       "prospector" => {
        "type" => "log"
    },
        "lock_time" => 0.000775,
       "query_user" => "root",
              "log" => {
        "flags" => [
            [0] "multiline"
        ]
    },
           "schema" => "test101",
        "timestamp" => "1545114330",
        "thread_id" => 4,
       "query_time" => 14.155133,
             "tags" => [
        [0] "beats_input_codec_plain_applied"
    ],
             "host" => {
                 "name" => "test101",
                   "id" => "9fcb0c7f28e449aabad922d1ba1f0afc",
        "containerized" => true,
                   "os" => {
            "codename" => "Core",
              "family" => "redhat",
             "version" => "7 (Core)",
            "platform" => "centos"
        },
         "architecture" => "x86_64"
    },
    "rows_examined" => 19999999,
           "source" => "/var/lib/mysql/test101-slow.log"
{
           "QC_hit" => "No",
        "rows_sent" => 1,
           "action" => "select",
            "input" => {
        "type" => "log"
    },
           "offset" => 1284,
         "@version" => "1",
       "query_host" => "localhost",
             "beat" => {
            "name" => "test101",
        "hostname" => "test101",
         "version" => "6.5.3"
    },
            "query" => "select * from table1 where id=588;",
       "@timestamp" => 2018-12-18T06:39:44.082Z,
       "prospector" => {
        "type" => "log"
    },
        "lock_time" => 0.000303,
       "query_user" => "root",
              "log" => {
        "flags" => [
            [0] "multiline"
        ]
    },
           "schema" => "test101",
        "timestamp" => "1545115178",
        "thread_id" => 4,
       "query_time" => 12.999487,
             "tags" => [
        [0] "beats_input_codec_plain_applied"
    ],
             "host" => {
                 "name" => "test101",
                   "id" => "9fcb0c7f28e449aabad922d1ba1f0afc",
        "containerized" => true,
                   "os" => {
            "codename" => "Core",
              "family" => "redhat",
             "version" => "7 (Core)",
            "platform" => "centos"
        },
         "architecture" => "x86_64"
    },
    "rows_examined" => 19999999,
           "source" => "/var/lib/mysql/test101-slow.log"
}

再打开kibana界面,建立索引,然后查看kibana的界面,日志OK:
ELK+grok如何收集并格式化MySQL的slow日志?

ELK+grok如何收集并格式化MySQL的slow日志?

其他版本MySQL慢日志及grok语句

1、MySQL5.7.20版本

mysql5.7.20版本慢日志:

# Time: 2018-12-18T08:43:24.828892Z
# User@Host: root[root] @ localhost []  Id:     7
# Query_time: 15.819314  Lock_time: 0.000174 Rows_sent: 1  Rows_examined: 19999999
SET timestamp=1545122604;
select * from table1 where id=258;

grok语法:

match => [ "message", "(?m)^# User@Host: %{USER:query_user}\[[^\]]+\] @ (?:(?<query_host>\S*) )?\[(?:%{IP:query_ip})?\]\s+Id:\s+%{NUMBER:id:int}\s# Query_time: %{NUMBER:query_time:float}\s+Lock_time: %{NUMBER:lock_time:float}\s+Rows_sent: %{NUMBER:rows_sent:int}\s+Rows_examined: %{NUMBER:rows_examined:int}\s*(?:use %{DATA:database};\s*)?SET timestamp=%{NUMBER:timestamp};\s*(?<query>(?<action>\w+)\s+.*)" ]

logstash采集查询结果:

{
    "rows_examined" => 19999999,
            "input" => {
        "type" => "log"
    },
             "tags" => [
        [0] "beats_input_codec_plain_applied"
    ],
       "query_user" => "root",
       "query_time" => 15.461892,
       "query_host" => "localhost",
         "@version" => "1",
            "query" => "select * from table1 where id=258;",
             "host" => {
        "containerized" => true,
                   "os" => {
            "platform" => "centos",
             "version" => "7 (Core)",
              "family" => "redhat",
            "codename" => "Core"
        },
                   "id" => "9fcb0c7f28e449aabad922d1ba1f0afc",
                 "name" => "test101",
         "architecture" => "x86_64"
    },
           "source" => "/home/data/test101-mysql5.7.20-slow.log",
           "action" => "select",
        "lock_time" => 0.000181,
       "prospector" => {
        "type" => "log"
    },
           "offset" => 1416,
              "log" => {
        "flags" => [
            [0] "multiline"
        ]
    },
        "rows_sent" => 1,
        "timestamp" => "1545122934",
             "beat" => {
        "hostname" => "test101",
         "version" => "6.5.3",
            "name" => "test101"
    },
       "@timestamp" => 2018-12-18T08:48:58.531Z,
               "id" => 7
}

2、MariaDB10.4版本

mariadb10.4配置慢查询和5.5.60不同,是在/etc/my.cnf.d/server.cnf文件的[mysqld]模块下添加配置开启慢查询,不是改/etc/my.conf:

[root@test101 filebeat]# cat /etc/my.cnf.d/server.cnf 
......   #省略若干行
[mysqld]
 slow_query_log
 long_query_time = 2
 slow_query_log_file = "/var/lib/mysql/test101-slow.log"
......   #省略若干行

mariadb10.4版本慢日志:

# Time: 181219 13:01:17
# User@Host: root[root] @ localhost []
# Thread_id: 8  Schema: test101  QC_hit: No
# Query_time: 18.711204  Lock_time: 0.000443  Rows_sent: 1  Rows_examined: 19999999
# Rows_affected: 0  Bytes_sent: 80     #比5.5.60版本多了 Rows_affected和 Bytes_sent:字段
SET timestamp=1545195677;
select * from test101.table1 where id=888;

grok语法:

match => [ "message", "(?m)^# User@Host: %{USER:query_user}\[[^\]]+\] @ (?:(?<query_host>\S*) )?\[(?:%{IP:query_ip})?\]\s# Thread_id:\s+%{NUMBER:thread_id:int}\s+Schema: %{USER:schema}\s+QC_hit: %{WORD:QC_hit}\s*# Query_time: %{NUMBER:query_time:float}\s+Lock_time: %{NUMBER:lock_time:float}\s+Rows_sent: %{NUMBER:rows_sent:int}\s+Rows_examined: %{NUMBER:rows_examined:int}\s*# Rows_affected: %{NUMBER:rows_affected:int}\s+Bytes_sent: %{NUMBER:bytes_sent:int}\s*(?:use %{DATA:database};\s*)?SET timestamp=%{NUMBER:timestamp};\s*(?<query>(?<action>\w+)\s+.*)" ]

logstash采集查询结果:

{
           "source" => "/var/lib/mysql/test101-slow.log",
         "@version" => "1",
       "query_time" => 18.711204,
           "offset" => 319,
       "query_user" => "root",
       "prospector" => {
        "type" => "log"
    },
           "schema" => "test101",
       "query_host" => "localhost",
             "tags" => [
        [0] "beats_input_codec_plain_applied"
    ],
           "action" => "select",
       "bytes_sent" => 80,
             "host" => {
                   "id" => "9fcb0c7f28e449aabad922d1ba1f0afc",
         "architecture" => "x86_64",
                   "os" => {
              "family" => "redhat",
            "codename" => "Core",
            "platform" => "centos",
             "version" => "7 (Core)"
        },
                 "name" => "test101",
        "containerized" => true
    },
    "rows_examined" => 19999999,
       "@timestamp" => 2018-12-19T05:01:23.310Z,
        "rows_sent" => 1,
            "query" => "select * from test101.table1 where id=888;",
              "log" => {
        "flags" => [
            [0] "multiline"
        ]
    },
        "thread_id" => 8,
             "beat" => {
        "hostname" => "test101",
            "name" => "test101",
         "version" => "6.5.3"
    },
           "QC_hit" => "No",
            "input" => {
        "type" => "log"
    },
    "rows_affected" => 0,
        "lock_time" => 0.000443,
        "timestamp" => "1545195677"
}