PMM 对MYSQL 的监控配制

 

系统选择： centos 7.2

    关闭防火墙：

    systemctl stop firewalld.service

    systemctl disable firewalld.service

    起用转发：

    # vi /usr/lib/sysctl.d/00-system.conf

    添加如下代码：

    重启network服务

    # systemctl restart network

    查看是否修改成功

    # sysctl net.ipv4.ip_forward

    如果返回为“net.ipv4.ip_forward = 1”则表示成功了

   

pmm-server 安装：

 　　pmm官方文档:

　　　　Pmm 组成: https://www.percona.com/doc/percona-monitoring-and-management/architecture.html

　　　　PMM 安装: https://www.percona.com/doc/percona-monitoring-and-management/deploy/server/docker.html#run-server-docker

　　　相关开源项目：
　　　　　　https://www.sqlite.org/atomiccommit.html
　　　　　　https://github.com/prometheus

   1.安装DOCKER，RPM包的名字是docker-io

     yum install docker -y

 

   2.启动docker

     service docker start

     ps -ef |grep docker

 

   3.创建容器的数据磁盘

     docker create \

     -v /opt/prometheus/data \

     -v /opt/consul-data \

     -v /var/lib/mysql \

     -v /var/lib/grafana \                    

     --name pmm-data \

     docker.io/percona/pmm-server /bin/true   

     //默认本地不存pmm-server，会从官网下载 ,但是会很慢

   

    容器卷在宿主机的目录位置：

    docker inspect pmm-data

 

       "Mounts": [
            {
                "Name": "134874af6736c9065c504d084eb0b754507da23a212cd90524d35463dcff8c54",
                "Source": "/var/lib/docker/volumes/134874af6736c9065c504d084eb0b754507da23a212cd90524d35463dcff8c54/_data",
                "Destination": "/var/lib/mysql",
                "Driver": "local",
                "Mode": "",
                "RW": true,
                "Propagation": ""
            },
            {
                "Name": "3d03268806f49143f8051aefc8ebef047ceeeeea24c5fe2828e06e0b08b36f6e",
                "Source": "/var/lib/docker/volumes/3d03268806f49143f8051aefc8ebef047ceeeeea24c5fe2828e06e0b08b36f6e/_data",
                "Destination": "/opt/consul-data",
                "Driver": "local",
                "Mode": "",
                "RW": true,
                "Propagation": ""
            },
            {
                "Name": "47dde5e315f8123018a485d8a922d060761a508b9958bc5e8c38f4b934152321",
                "Source": "/var/lib/docker/volumes/47dde5e315f8123018a485d8a922d060761a508b9958bc5e8c38f4b934152321/_data",
                "Destination": "/opt/prometheus/data",
                "Driver": "local",
                "Mode": "",
                "RW": true,
                "Propagation": ""
            },
            {
                "Name": "4faad60a6619be2f2aa29c34dd8630427cd70810d849a21bc26733b3970dfb6b",
                "Source": "/var/lib/docker/volumes/4faad60a6619be2f2aa29c34dd8630427cd70810d849a21bc26733b3970dfb6b/_data",
                "Destination": "/var/lib/grafana",
                "Driver": "local",
                "Mode": "",
                "RW": true,
                "Propagation": ""
            }
        ],

   

  4.创建容器的运行实例：

    docker run -d \

    -p 80:80 \

    --volumes-from pmm-data \

    --name pmm-server \

    --restart always \

   

 

    容器卷在宿主机的目录位置：

 

     docker inspect pmm-server

     "Mounts": [
            {
                "Name": "47dde5e315f8123018a485d8a922d060761a508b9958bc5e8c38f4b934152321",
                "Source": "/var/lib/docker/volumes/47dde5e315f8123018a485d8a922d060761a508b9958bc5e8c38f4b934152321/_data",
                "Destination": "/opt/prometheus/data",
                "Driver": "local",
                "Mode": "",
                "RW": true,
                "Propagation": ""
            },
            {
                "Name": "4faad60a6619be2f2aa29c34dd8630427cd70810d849a21bc26733b3970dfb6b",
                "Source": "/var/lib/docker/volumes/4faad60a6619be2f2aa29c34dd8630427cd70810d849a21bc26733b3970dfb6b/_data",
                "Destination": "/var/lib/grafana",
                "Driver": "local",
                "Mode": "",
                "RW": true,
                "Propagation": ""
            },
            {
                "Name": "134874af6736c9065c504d084eb0b754507da23a212cd90524d35463dcff8c54",
                "Source": "/var/lib/docker/volumes/134874af6736c9065c504d084eb0b754507da23a212cd90524d35463dcff8c54/_data",
                "Destination": "/var/lib/mysql",
                "Driver": "local",
                "Mode": "",
                "RW": true,
                "Propagation": ""
            },
            {
                "Name": "3d03268806f49143f8051aefc8ebef047ceeeeea24c5fe2828e06e0b08b36f6e",
                "Source": "/var/lib/docker/volumes/3d03268806f49143f8051aefc8ebef047ceeeeea24c5fe2828e06e0b08b36f6e/_data",
                "Destination": "/opt/consul-data",
                "Driver": "local",
                "Mode": "",
                "RW": true,
                "Propagation": ""
            }
        ],

 

    更改面板数据sqlite库存储类型为MYSQL(容器自带)

    [root@workstation2017 ~]# docker exec -i -t pmm-server /bin/bash

    [root@86b5c5955521 opt]# vi /etc/grafana/grafana.ini

     查/sqlite 改为MYSQL 存储

     type=mysql

     name=grafana

     user=root

     password =

     在容器进入mysql客户端,创建数据库grafana,

     create database grafana;

    

     生效：

     docker restart pmm-server

    // 默认面板监控数据数据保在  /var/lib/grafana/grafana.db  

 

PMM client 安装:

    [root@workstation2017 ~]# service mysql start

    Redirecting to /bin/systemctl start  mysql.service

    下载与PMM SERVER 一致的 PMM client

    https://www.percona.com/downloads/pmm-client/

   

    配制：

    [root@workstation2017 ~]# pmm-admin config --server 192.168.79.220

    OK, PMM server is alive.

    PMM Server      | 192.168.79.220

    Client Name     | workstation2017

    Client Address  | 192.168.79.220

 

    开始监控：

    pmm-admin add mysql --query-source perfschema  --user root --password xx

    

    WEB访问页面并配制相关值：

    http://192.168.79.220/graph

 

    data sources--->edit data source

       config:

       　　 填入：

        　　name:prometheus

        　　type:prometheus

       http settings:加入

        　　http://127.0.0.1:9090/prometheus

    dashboards-->import

    点选导入import json文件

   

操作目的：监控指定的Metrics，减少系统的统计负载，并采用MYSQL作为存储后端  

详细操作如下:

json文件容器导出到宿主机的目录上,并在WEB 面板中导入

[root@f3e8318c8d7c dashboards]# pwd

/usr/share/percona-dashboards/dashboards

[root@f3e8318c8d7c dashboards]# ls

Amazon_RDS_OS_Metrics.json    MongoDB_Overview.json               MySQL_Performance_Schema.json      Prometheus.json

Cross_Server_Graphs.json      MongoDB_ReplSet.json                MySQL_Query_Response_Time.json     ProxySQL_Overview.json

Disk_Performance.json         MongoDB_RocksDB.json                MySQL_Replication.json             Summary_Dashboard.json

Disk_Space.json               MongoDB_WiredTiger.json             MySQL_Table_Statistics.json        System_Overview.json

MariaDB.json                  MySQL_InnoDB_Metrics.json           MySQL_TokuDB_Metrics.json          Trends_Dashboard.json

MongoDB_Cluster_Summary.json  MySQL_InnoDB_Metrics_Advanced.json  MySQL_User_Statistics.json

MongoDB_InMemory.json         MySQL_MyISAM_Metrics.json           PXC_Galera_Cluster_Overview.json

MongoDB_MMAPv1.json           MySQL_Overview.json                 PXC_Galera_Graphs.json

 

拷到宿主机的目录中：

[root@workstation2017 ~]# docker cp f3e8318c8d7c:/usr/share/percona-dashboards/dashboards /soft/

然后用XSHELL 拷到WINDOW目录下

在主机WEB界面中

在导入框中加入MySQL_InnoDB_Metrics.json

dashboard ---> import---> MySQL_InnoDB_Metrics.json

即可全部配制完成

 

 

PMM-SERVER 与 PMM-CLIENT 互联检测

   gui: http://192.168.79.220:80/prometheus/targets

   command: pmm-admin check-network

            pmm-admin list

EG:

[root@workstation2017 ~]#   pmm-admin check-network

PMM Network Status

Server Address | 192.168.79.220

Client Address | 192.168.79.220

* System Time

NTP Server (0.pool.ntp.org)         | 2017-07-24 22:57:08 -0400 EDT

PMM Server                          | 2017-07-25 02:57:08 +0000 GMT

PMM Client                          | 2017-07-24 22:57:08 -0400 EDT

PMM Server Time Drift               | OK

PMM Client Time Drift               | OK

PMM Client to PMM Server Time Drift | OK

* Connection: Client --> Server

-------------------- -------     

SERVER SERVICE       STATUS      

-------------------- -------     

Consul API           OK

Prometheus API       OK

Query Analytics API  OK

Connection duration | 465.152µs

Request duration    | 1.000382ms

Full round trip     | 1.465534ms

* Connection: Client <-- Server

-------------- ---------------- --------------------- ------- ---------- ---------

SERVICE TYPE   NAME             REMOTE ENDPOINT       STATUS  HTTPS/TLS  PASSWORD

-------------- ---------------- --------------------- ------- ---------- ---------

linux:metrics  workstation2017  192.168.79.220:42000  OK      YES        -       

mysql:metrics  workstation2017  192.168.79.220:42002  OK      YES        -