利用Prometheus与Grafana对Mysql服务器的性能监控详解

概述

prometheus是一个开源的服务监控系统，它通过http协议从远程的机器收集数据并存储在本地的时序数据库上。它提供了一个简单的网页界面、一个功能强大的查询语言以及http接口等等。prometheus通过安装在远程机器上的exporter来收集监控数据，这里用到了以下两个exporter：

1. node_exporter – 用于机器系统数据
2. mysqld_exporter – 用于mysql服务器数据
   

grafana是一个开源的功能丰富的数据可视化平台，通常用于时序数据的可视化。它内置了以下数据源的支持：

并可以通过插件扩展支持的数据源。

架构图

下面是本次部署的架构图

安装并运行prometheus

1.在 monitor 上安装 prometheus

安装至/opt/prometheus

$ wget https://github.com/prometheus/prometheus/releases/download/v1.5.2/prometheus-1.5.2.linux-amd64.tar.gz
$ tar zxvf prometheus-1.5.2.linux-amd64.tar.gz
$ mv prometheus-1.5.2.linux-amd64 /opt/prometheus

2.在安装目下编辑配置文件 prometheus.yml

vim /opt/prometheus/prometheus.yml

# my global config
global:
 scrape_interval: 15s # set the scrape interval to every 15 seconds. default is every 1 minute.
 evaluation_interval: 15s # evaluate rules every 15 seconds. the default is every 1 minute.
 # scrape_timeout is set to the global default (10s).
 # attach these labels to any time series or alerts when communicating with
 # external systems (federation, remote storage, alertmanager).
 external_labels:
 monitor: 'codelab-monitor'
# load rules once and periodically evaluate them according to the global 'evaluation_interval'.
rule_files:
 # - "first.rules"
 # - "second.rules"
# a scrape configuration containing exactly one endpoint to scrape:
# here it's prometheus itself.
scrape_configs:
 # the job name is added as a label `job=<job_name>` to any timeseries scraped from this config.
 - job_name: 'prometheus'
 # metrics_path defaults to '/metrics'
 # scheme defaults to 'http'.
 static_configs:
 - targets: ['localhost:9090']
 # 以下是添加的部分
 - job_name: linux
 static_configs:
 - targets: ['172.30.251.214:9100']
 labels:
 instance: db1
 - job_name: mysql
 static_configs:
 - targets: ['172.30.251.214:9104']
 labels:
 instance: db1

其中：172.30.251.214是mysql的ip，端口则是对应的exporter的监听端口。

3.启动prometheus

[loya@centos6 prometheus]$ ./prometheus
info[0000] starting prometheus (version=1.5.2, branch=master, revision=bd1182d29f462c39544f94cc822830e1c64cf55b) source=main.go:75
info[0000] build context (go=go1.7.5, user=root@a8af9200f95d, date=20170210-14:41:22) source=main.go:76
info[0000] loading configuration file prometheus.yml source=main.go:248
info[0000] loading series map and head chunks... source=storage.go:373
info[0000] 0 series loaded. source=storage.go:378
info[0000] starting target manager... source=targetmanager.go:61
info[0000] listening on :9090 source=web.go:259

prometheus内置了一个web界面，可以通过http://monitor_host:9090进行访问：

在status->targets页面下，可以看到我们配置的两个target，它们的state为down。

4.接下来需要在被监控机器上安装并运行exporter

下载exporters并解压：

$ mkdir /opt/prometheus/prometheus_exporters
$ cd /opt/prometheus/prometheus_exporters
$ wget https://github.com/prometheus/node_exporter/releases/download/v0.14.0-rc.1/node_exporter-0.14.0-rc.1.linux-amd64.tar.gz
$ wget https://github.com/prometheus/mysqld_exporter/releases/download/v0.9.0/mysqld_exporter-0.9.0.linux-amd64.tar.gz
$ tar zxvf node_exporter-0.14.0-rc.1.linux-amd64.tar.gz
$ tar zxvf mysqld_exporter-0.9.0.linux-amd64.tar.gz
# 将各自的可执行文件移动到/opt/prometheus/prometheus_exporters
$ ll /opt/prometheus/prometheus_exporters
total 24464
-rwxr-xr-x 1 root root 12182376 feb 23 19:01 mysqld_exporter
-rwxr-xr-x 1 root root 12862209 feb 23 19:01 node_exporter

运行node_exporter

$ cd /opt/prometheus/prometheus_exporters
$ ./node_exporter 
info[0000] starting node_exporter (version=0.14.0-rc.1, branch=master, revision=5a07f4173d97fa0dd307db5bd3c2e6da26a4b16e) source="node_exporter.go:136"
info[0000] build context (go=go1.7.4, user=root@ed143c8f2fcd, date=20170116-16:00:03) source="node_exporter.go:137"
info[0000] no directory specified, see --collector.textfile.directory source="textfile.go:57"
info[0000] enabled collectors: source="node_exporter.go:156"
info[0000] - entropy source="node_exporter.go:158"
info[0000] - loadavg source="node_exporter.go:158"
info[0000] - stat source="node_exporter.go:158"
info[0000] - diskstats source="node_exporter.go:158"
info[0000] - textfile source="node_exporter.go:158"
info[0000] - vmstat source="node_exporter.go:158"
info[0000] - meminfo source="node_exporter.go:158"
info[0000] - filefd source="node_exporter.go:158"
info[0000] - filesystem source="node_exporter.go:158"
info[0000] - mdadm source="node_exporter.go:158"
info[0000] - netdev source="node_exporter.go:158"
info[0000] - sockstat source="node_exporter.go:158"
info[0000] - time source="node_exporter.go:158"
info[0000] - zfs source="node_exporter.go:158"
info[0000] - edac source="node_exporter.go:158"
info[0000] - hwmon source="node_exporter.go:158"
info[0000] - netstat source="node_exporter.go:158"
info[0000] - uname source="node_exporter.go:158"
info[0000] - conntrack source="node_exporter.go:158"
info[0000] listening on :9100 source="node_exporter.go:176"

mysqld_exporter需要连接到mysql，所以需要mysql权限，我们为其创建用户并赋予所需的权限：

mysql> grant replication client, process on *.* to 'prom'@'localhost' identified by 'abc123';
mysql> grant select on performance_schema.* to 'prom'@'localhost';

创建.my.cnf文件并运行mysqld_exporter：

$ cd /opt/prometheus/prometheus_exporters
$
$ cat << eof > .my.cnf
[client]
user=prom
password=abc123
eof
$
$ ./mysqld_exporter -config.my-cnf=".my.cnf"
info[0000] starting mysqld_exporter (version=0.9.0, branch=master, revision=8400af20ccdbf6b5e0faa2c925c56c48cd78d70b) source=mysqld_exporter.go:432
info[0000] build context (go=go1.6.3, user=root@2c131c66ca20, date=20160926-18:28:09) source=mysqld_exporter.go:433
info[0000] listening on :9104 source=mysqld_exporter.go:451

回到prometheus web界面status->targets，可以看到两个target的状态已经变成up了：

安装和运行grafana

安装：

grafana 的安装比较清晰，这里不再赘述。

配置：

编辑配置文件/etc/grafana/grafana.ini，修改dashboards.json段落下两个参数的值：

[dashboards.json]
enabled = true
path = /var/lib/grafana/dashboards

导入prometheus dashboard：

$ git clone https://github.com/percona/grafana-dashboards.git
$ cp -r grafana-dashboards/dashboards /var/lib/grafana

启动：

$ /etc/init.d/grafana-server start

通过http://monitor_host:3000访问grafana web界面（缺省帐号/密码为admin/admin）

登录后，通过data sources页面添加数据源：

然后就可以通过选择不同的仪表盘（左上角）和时间段（右上角）来呈现图表了：

system overview:

mysql overview:

总结

以上就是这篇文章的全部内容了，希望本文的内容对大家的学习或者工作能带来一定的帮助，如果有疑问大家可以留言交流，谢谢大家对的支持。