Prometheus监控MySQL5.7
1. MySQL配置
MySQL安装配置参考我的博客其他文章（安装配置参考：mysql-5.7.30安装配置，主从配置参考：mysql 5.7主从配置），这里只讲述如何利用Prometheus监控MySQL5.7数据库。
1.1 新增监控帐号
在MySQL数据库中，新增Prometheus监控帐号，用于各类性能数据查询；
mysql> GRANT PROCESS, REPLICATION CLIENT, SELECT ON *.* TO 'exporter'@'::1' IDENTIFIED BY 'exporter@123' WITH MAX_USER_CONNECTIONS 3;
mysql> flush privileges;1.2 修改MySQL配置文件增加授权
配置my.cnf
cat >> /usr/local/mysqld_exporter/.my.cnf << EOF
[client]
host=localhost
port=3306
user=exporter
password=exporter@123
EOF2. 安装监控客户端
2.1 监控客户端安装
在需要监控的MySQL数据库服务器上安装mysqld_exporter：
cd /usr/local/
wget https://github.com/prometheus/mysqld_exporter/releases/download/v0.12.0/mysqld_exporter-0.12.0.linux-amd64.tar.gz
# 下载不了的自己想办法哈，当然也可以留言给我。
tar xzf mysqld_exporter-0.12.1.linux-amd64.tar.gz
ln -sv mysqld_exporter-0.12.1.linux-amd64 mysqld_exporter
chown -R prometheus:prometheus /usr/local/mysqld_exporter/mysqld_exporter
chmod 755 /usr/local/mysqld_exporter/mysqld_exporter2.2 配置mysqld_exporter为系统服务
cat >> /usr/lib/systemd/system/mysqld_exporter.service << EOF
[Unit]
Description=mysqld_exporter
Documentation=https://prometheus.io/
After=network.target
[Service]
Type=simple
User=prometheus
ExecStart=/usr/local/mysqld_exporter/mysqld_exporter --web.listen-address=0.0.0.0:9104 --config.my-cnf=/usr/local/mysqld_exporter/.my.cnf \
--log.level=error \
--collect.info_schema.processlist \
--collect.info_schema.innodb_metrics \
--collect.info_schema.innodb_tablespaces \
--collect.info_schema.innodb_cmp \
--collect.info_schema.innodb_cmpmem
Restart=on-failure
[Install]
WantedBy=multi-user.target
EOF下面是搜集主从信息的，没有配置主从可以不加这两个选项，否则会报错：msg="Error scraping for collect.slave_hosts: Error 1227: Access denied; you need (at least one of) the REPLICATION SLAVE privilege(s) for this operation" source="exporter.go:171"
--collect.slave_status \
--collect.slave_hosts \
2.3 设置开机启动并启动mysqld_exporter
chown -R prometheus:prometheus /usr/lib/systemd/system/mysqld_exporter.service
chmod 644 /usr/lib/systemd/system/mysqld_exporter.service
systemctl daemon-reload
systemctl enable mysqld_exporter.service
systemctl start mysqld_exporter.service3. 监控指标查看
3.1 metrics监控内容
访问：http://ip:9104/metrics 可以看到mysql的指标
# HELP go_gc_duration_seconds A summary of the GC invocation durations.
# TYPE go_gc_duration_seconds summary
go_gc_duration_seconds{quantile="0"} 1.0977e-05
go_gc_duration_seconds{quantile="0.25"} 1.1386e-05
go_gc_duration_seconds{quantile="0.5"} 1.1929e-05
go_gc_duration_seconds{quantile="0.75"} 1.665e-05
go_gc_duration_seconds{quantile="1"} 3.3897e-05
go_gc_duration_seconds_sum 0.000189596
go_gc_duration_seconds_count 12
# HELP go_goroutines Number of goroutines that currently exist.
# TYPE go_goroutines gauge
go_goroutines 8
...此处省略若干行
# HELP mysql_up Whether the MySQL server is up.
# TYPE mysql_up gauge
mysql_up 1
# HELP mysql_version_info MySQL version and distribution.
...此处省略若干行
3.2 确认监控指标正常
# curl localhost:9104/metrics | grep mysql_up
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
100 233k 100 233k 0 0 4322k 0 --:--:-- --:--:-- --:--:-- 4410k
# HELP mysql_up Whether the MySQL server is up.
# TYPE mysql_up gauge
mysql_up 1 #说明mysql启动，并且能正常监控到了
4. 在Prometheus中配置MySQL监控
在Prometheus-Server中配置MySQL数据采集
修改prometheus配置文件：
在 scrape_configs下面添加如下配置
# vim /usr/local/prometheus/prometheus.yml
scrape_configs:
- job_name: 'mysql_db'
static_configs:
- targets: ['10.88.8.120:9104']
labels:
instance: wikidb-10.88.8.120
group: mysql_db
- job_name: 'mysql-host'
static_configs:
- targets: ['10.88.8.120:9100']
labels:
instance: wikidb-10.88.8.120在Prometheus界面可以看到mysql相关指标
5. 在Grafana中添加MySQL监控图表
打开Grafana监控界面，新增MySQL监控图表
在弹出界面中输入：7362
然后点击Load，在新界面中，选择数据源，然后导入即可。
之后就能够在grafana中看到采集到的MySQL数据库的相关参数，以及操作系统参数（附上一些监控图供大家观赏 :) 。
6. Prometheus监控MySQL数据库配置优化
按照上面5个步骤配置出来MySQL的监控完全没有问题。但是，如果你的MySQL数据库很多，采取上述的配置，将所有的MySQL监控配置都写到Prometheus的主配置文件prometheus.yaml里面，主配置文件就显得过于冗长了，下面是优化后的配置，分为三部分：
- 1）Prometheus主配置文件配置；
- 2）MySQL数据库配置文件；
- 3）MySQL数据库所在主机配置文件；
6.1 Prometheus主配置文件
############## MySQL Monitor ###############
- job_name: 'mysql-host'
file_sd_configs:
- files: ['/opt/prometheus-server/sd_cfg/mysql-host.yaml']
refresh_interval: 5s
- job_name: 'mysql-db'
file_sd_configs:
- files: ['/opt/prometheus-server/sd_cfg/mysql-db.yaml']
refresh_interval: 5s6.2 MySQL数据库配置文件
# cat sd_cfg/mysql-host.yaml
- targets: ['10.88.8.120:9104']
labels:
instance: wikidb-10.88.8.120
group: mysql_db6.3 MySQL所在主机监控配置文件
# cat sd_cfg/mysql-db.yaml
- targets: ['10.88.8.120:9100']
labels:
instance: wikidb-10.88.8.120
hostname: "cn-wiki"这样拆分后，之后还要监控MySQL其他的服务器和实例，就只需要修改sd_cfg下面的这两个配置文件（mysql-host.yaml和mysql-db.yaml）即可，只需要以葫芦画瓢，拷贝一份现有的，改吧改吧就可以了。
6.4 配置注意事项
在MySQL数据库监控配置文件mysql-db.yaml中的instance标签，要和MySQL数据库所在主机的配置文件mysql-host.yaml中的instance标签名称一致，否则在Grafana里面的MySQL-Dashboard里面的关于主机的监控信息就会看不到（这个模板做的比较好的就是将数据库和主机的监控信息进行了整合，在一个Dashboard里面可以看到所有信息）。当然，如果你觉得没必要，那就另当别论了。
7. MySQL相关指标的告警规则
下面是官方推荐的MySQL相关的告警规则，供大家参考使用。
点击查看代码
###
# Sample prometheus rules/alerts for mysqld.
#
# NOTE: Please review these carefully as thresholds and behavior may not meet
# your SLOs or labels.
#
###
# Recording Rules
# Record slave lag seconds for pre-computed timeseries that takes
# `mysql_slave_status_sql_delay` into account
mysql_slave_lag_seconds = mysql_slave_status_seconds_behind_master - mysql_slave_status_sql_delay
# Record slave lag via heartbeat method
mysql_heartbeat_lag_seconds = mysql_heartbeat_now_timestamp_seconds - mysql_heartbeat_stored_timestamp_seconds
# Record "Transactions per second"
# See: https://dev.mysql.com/doc/refman/5.7/en/glossary.html#glos_transaction
job:mysql_transactions:rate5m = sum(rate(mysql_global_status_commands_total{command=~"(commit|rollback)"}[5m])) without (command)
###
# Galera Alerts
groups:
- name: GaleraAlerts
rules:
- alert: MySQLGaleraNotReady
expr: mysql_global_status_wsrep_ready != 1
for: 5m
labels:
severity: warning
annotations:
description: '{{$labels.job}} on {{$labels.instance}} is not ready.'
summary: Galera cluster node not ready
- alert: MySQLGaleraOutOfSync
expr: (mysql_global_status_wsrep_local_state != 4 and mysql_global_variables_wsrep_desync
== 0)
for: 5m
labels:
severity: warning
annotations:
description: '{{$labels.job}} on {{$labels.instance}} is not in sync ({{$value}}
!= 4).'
summary: Galera cluster node out of sync
- alert: MySQLGaleraDonorFallingBehind
expr: (mysql_global_status_wsrep_local_state == 2 and mysql_global_status_wsrep_local_recv_queue
> 100)
for: 5m
labels:
severity: warning
annotations:
description: '{{$labels.job}} on {{$labels.instance}} is a donor (hotbackup)
and is falling behind (queue size {{$value}}).'
summary: xtradb cluster donor node falling behind
- alert: MySQLReplicationNotRunning
expr: mysql_slave_status_slave_io_running == 0 or mysql_slave_status_slave_sql_running
== 0
for: 2m
labels:
severity: critical
annotations:
description: Slave replication (IO or SQL) has been down for more than 2 minutes.
summary: Slave replication is not running
- alert: MySQLReplicationLag
expr: (mysql_slave_lag_seconds > 30) and on(instance) (predict_linear(mysql_slave_lag_seconds[5m],
60 * 2) > 0)
for: 1m
labels:
severity: critical
annotations:
description: The mysql slave replication has fallen behind and is not recovering
summary: MySQL slave replication is lagging
- alert: MySQLReplicationLag
expr: (mysql_heartbeat_lag_seconds > 30) and on(instance) (predict_linear(mysql_heartbeat_lag_seconds[5m],
60 * 2) > 0)
for: 1m
labels:
severity: critical
annotations:
description: The mysql slave replication has fallen behind and is not recovering
summary: MySQL slave replication is lagging
- alert: MySQLInnoDBLogWaits
expr: rate(mysql_global_status_innodb_log_waits[15m]) > 10
labels:
severity: warning
annotations:
description: The innodb logs are waiting for disk at a rate of {{$value}} /
second
summary: MySQL innodb log writes stallingGrafana官网提供的关于Linux和MySQL的展示看板被我略为做了调整，代码如下：（使用方法：将代码保存到json文件里面，导入到grafana看板就可以了）
MySQL-dashboard
点击查看代码
{
"annotations": {
"list": [
{
"builtIn": 1,
"datasource": "-- Grafana --",
"enable": true,
"hide": false,
"iconColor": "#e0752d",
"limit": 100,
"name": "PMM Annotations",
"showIn": 0,
"tags": [
"pmm_annotation"
],
"type": "tags"
}
]
},
"description": "Dashboard from Percona Monitoring and Management project. ",
"editable": true,
"gnetId": 7362,
"graphTooltip": 1,
"id": 11,
"iteration": 1631509635076,
"links": [
{
"icon": "dashboard",
"includeVars": true,
"keepTime": true,
"tags": [
"QAN"
],
"targetBlank": false,
"title": "Query Analytics",
"type": "link",
"url": "/graph/dashboard/db/_pmm-query-analytics"
},
{
"asDropdown": true,
"includeVars": true,
"keepTime": true,
"tags": [
"OS"
],
"targetBlank": false,
"title": "OS",
"type": "dashboards"
},
{
"asDropdown": true,
"includeVars": true,
"keepTime": true,
"tags": [
"MySQL"
],
"targetBlank": false,
"title": "MySQL",
"type": "dashboards"
},
{
"asDropdown": true,
"includeVars": true,
"keepTime": true,
"tags": [
"MongoDB"
],
"targetBlank": false,
"title": "MongoDB",
"type": "dashboards"
},
{
"asDropdown": true,
"includeVars": true,
"keepTime": true,
"tags": [
"HA"
],
"targetBlank": false,
"title": "HA",
"type": "dashboards"
},
{
"asDropdown": true,
"includeVars": true,
"keepTime": true,
"tags": [
"Cloud"
],
"targetBlank": false,
"title": "Cloud",
"type": "dashboards"
},
{
"asDropdown": true,
"includeVars": true,
"keepTime": true,
"tags": [
"Insight"
],
"targetBlank": false,
"title": "Insight",
"type": "dashboards"
},
{
"asDropdown": true,
"includeVars": true,
"keepTime": true,
"tags": [
"PMM"
],
"targetBlank": false,
"title": "PMM",
"type": "dashboards"
}
],
"panels": [
{
"collapsed": false,
"datasource": null,
"gridPos": {
"h": 1,
"w": 24,
"x": 0,
"y": 0
},
"id": 382,
"panels": [],
"repeat": null,
"title": "",
"type": "row"
},
{
"cacheTimeout": null,
"colorBackground": false,
"colorValue": true,
"colors": [
"rgba(245, 54, 54, 0.9)",
"rgba(237, 129, 40, 0.89)",
"rgba(50, 172, 45, 0.97)"
],
"datasource": "Prometheus",
"decimals": 1,
"description": "**MySQL Uptime**\n\nThe amount of time since the last restart of the MySQL server process.",
"editable": true,
"error": false,
"fieldConfig": {
"defaults": {
"custom": {}
},
"overrides": []
},
"format": "s",
"gauge": {
"maxValue": 100,
"minValue": 0,
"show": false,
"thresholdLabels": false,
"thresholdMarkers": true
},
"gridPos": {
"h": 4,
"w": 6,
"x": 0,
"y": 1
},
"height": "125px",
"id": 12,
"interval": "$interval",
"links": [],
"mappingType": 1,
"mappingTypes": [
{
"name": "value to text",
"value": 1
},
{
"name": "range to text",
"value": 2
}
],
"maxDataPoints": 100,
"nullPointMode": "connected",
"nullText": null,
"postfix": "s",
"postfixFontSize": "80%",
"prefix": "",
"prefixFontSize": "80%",
"rangeMaps": [
{
"from": "null",
"text": "N/A",
"to": "null"
}
],
"sparkline": {
"fillColor": "rgba(31, 118, 189, 0.18)",
"full": false,
"lineColor": "rgb(31, 120, 193)",
"show": false
},
"tableColumn": "mysql_global_status_uptime{group=\"mysql_db\", instance=\"wikidb-10.137.10.231\", job=\"mysql-db\"}",
"targets": [
{
"calculatedInterval": "10m",
"datasourceErrors": {},
"errors": {},
"expr": "mysql_global_status_uptime{instance=\"$host\"}",
"format": "time_series",
"hide": false,
"instant": true,
"interval": "5m",
"intervalFactor": 1,
"legendFormat": "",
"metric": "",
"refId": "A",
"step": 300
}
],
"thresholds": "300,3600",
"title": "MySQL Uptime",
"type": "singlestat",
"valueFontSize": "80%",
"valueMaps": [],
"valueName": "current"
},
{
"cacheTimeout": null,
"colorBackground": false,
"colorValue": false,
"colors": [
"rgba(245, 54, 54, 0.9)",
"rgba(237, 129, 40, 0.89)",
"rgba(50, 172, 45, 0.97)"
],
"datasource": "Prometheus",
"decimals": 2,
"description": "**Current QPS**\n\nBased on the queries reported by MySQL's ``SHOW STATUS`` command, it is the number of statements executed by the server within the last second. This variable includes statements executed within stored programs, unlike the Questions variable. It does not count \n``COM_PING`` or ``COM_STATISTICS`` commands.",
"editable": true,
"error": false,
"fieldConfig": {
"defaults": {
"custom": {}
},
"overrides": []
},
"format": "short",
"gauge": {
"maxValue": 100,
"minValue": 0,
"show": false,
"thresholdLabels": false,
"thresholdMarkers": true
},
"gridPos": {
"h": 4,
"w": 6,
"x": 6,
"y": 1
},
"height": "125px",
"id": 13,
"interval": "$interval",
"links": [
{
"targetBlank": true,
"title": "MySQL Server Status Variables",
"url": "https://dev.mysql.com/doc/refman/5.7/en/server-status-variables.html#statvar_Queries"
}
],
"mappingType": 1,
"mappingTypes": [
{
"name": "value to text",
"value": 1
},
{
"name": "range to text",
"value": 2
}
],
"maxDataPoints": 100,
"nullPointMode": "connected",
"nullText": null,
"postfix": "",
"postfixFontSize": "50%",
"prefix": "",
"prefixFontSize": "80%",
"rangeMaps": [
{
"from": "null",
"text": "N/A",
"to": "null"
}
],
"sparkline": {
"fillColor": "rgba(31, 118, 189, 0.18)",
"full": false,
"lineColor": "rgb(31, 120, 193)",
"show": true
},
"tableColumn": "{group=\"mysql_db\", instance=\"wikidb-10.137.10.231\", job=\"mysql-db\"}",
"targets": [
{
"calculatedInterval": "10m",
"datasourceErrors": {},
"errors": {},
"expr": "rate(mysql_global_status_queries{instance=\"$host\"}[$interval]) or irate(mysql_global_status_queries{instance=\"$host\"}[5m])",
"format": "time_series",
"instant": true,
"interval": "$interval",
"intervalFactor": 1,
"legendFormat": "",
"metric": "",
"refId": "A",
"step": 20
}
],
"thresholds": "35,75",
"title": "Current QPS",
"type": "singlestat",
"valueFontSize": "80%",
"valueMaps": [],
"valueName": "current"
},
{
"cacheTimeout": null,
"colorBackground": false,
"colorValue": false,
"colors": [
"rgba(50, 172, 45, 0.97)",
"rgba(237, 129, 40, 0.89)",
"rgba(245, 54, 54, 0.9)"
],
"datasource": "Prometheus",
"decimals": 0,
"description": "**InnoDB Buffer Pool Size**\n\nInnoDB maintains a storage area called the buffer pool for caching data and indexes in memory. Knowing how the InnoDB buffer pool works, and taking advantage of it to keep frequently accessed data in memory, is one of the most important aspects of MySQL tuning. The goal is to keep the working set in memory. In most cases, this should be between 60%-90% of available memory on a dedicated database host, but depends on many factors.",
"editable": true,
"error": false,
"fieldConfig": {
"defaults": {
"custom": {}
},
"overrides": []
},
"format": "bytes",
"gauge": {
"maxValue": 100,
"minValue": 0,
"show": false,
"thresholdLabels": false,
"thresholdMarkers": true
},
"gridPos": {
"h": 4,
"w": 6,
"x": 12,
"y": 1
},
"height": "125px",
"id": 51,
"interval": "$interval",
"links": [
{
"targetBlank": true,
"title": "Tuning the InnoDB Buffer Pool Size",
"url": "https://www.percona.com/blog/2015/06/02/80-ram-tune-innodb_buffer_pool_size/"
}
],
"mappingType": 1,
"mappingTypes": [
{
"name": "value to text",
"value": 1
},
{
"name": "range to text",
"value": 2
}
],
"maxDataPoints": 100,
"nullPointMode": "connected",
"nullText": null,
"postfix": "",
"postfixFontSize": "50%",
"prefix": "",
"prefixFontSize": "80%",
"rangeMaps": [
{
"from": "null",
"text": "N/A",
"to": "null"
}
],
"sparkline": {
"fillColor": "rgba(31, 118, 189, 0.18)",
"full": false,
"lineColor": "rgb(31, 120, 193)",
"show": false
},
"tableColumn": "mysql_global_variables_innodb_buffer_pool_size{group=\"mysql_db\", instance=\"wikidb-10.137.10.231\", job=\"mysql-db\"}",
"targets": [
{
"calculatedInterval": "10m",
"datasourceErrors": {},
"errors": {},
"expr": "mysql_global_variables_innodb_buffer_pool_size{instance=\"$host\"}",
"format": "time_series",
"instant": true,
"interval": "5m",
"intervalFactor": 1,
"legendFormat": "",
"metric": "",
"refId": "A",
"step": 300
}
],
"thresholds": "90,95",
"title": "InnoDB Buffer Pool Size",
"type": "singlestat",
"valueFontSize": "80%",
"valueMaps": [],
"valueName": "current"
},
{
"cacheTimeout": null,
"colorBackground": false,
"colorValue": true,
"colors": [
"rgba(245, 54, 54, 0.9)",
"rgba(237, 129, 40, 0.89)",
"rgba(50, 172, 45, 0.97)"
],
"datasource": "Prometheus",
"decimals": 0,
"description": "**InnoDB Buffer Pool Size % of Total RAM**\n\nInnoDB maintains a storage area called the buffer pool for caching data and indexes in memory. Knowing how the InnoDB buffer pool works, and taking advantage of it to keep frequently accessed data in memory, is one of the most important aspects of MySQL tuning. The goal is to keep the working set in memory. In most cases, this should be between 60%-90% of available memory on a dedicated database host, but depends on many factors.",
"editable": true,
"error": false,
"fieldConfig": {
"defaults": {
"custom": {}
},
"overrides": []
},
"format": "percent",
"gauge": {
"maxValue": 100,
"minValue": 0,
"show": false,
"thresholdLabels": false,
"thresholdMarkers": true
},
"gridPos": {
"h": 4,
"w": 6,
"x": 18,
"y": 1
},
"height": "125px",
"id": 52,
"interval": "$interval",
"links": [
{
"targetBlank": true,
"title": "Tuning the InnoDB Buffer Pool Size",
"url": "https://www.percona.com/blog/2015/06/02/80-ram-tune-innodb_buffer_pool_size/"
}
],
"mappingType": 1,
"mappingTypes": [
{
"name": "value to text",
"value": 1
},
{
"name": "range to text",
"value": 2
}
],
"maxDataPoints": 100,
"nullPointMode": "connected",
"nullText": null,
"postfix": "",
"postfixFontSize": "50%",
"prefix": "",
"prefixFontSize": "80%",
"rangeMaps": [
{
"from": "null",
"text": "N/A",
"to": "null"
}
],
"repeat": null,
"sparkline": {
"fillColor": "rgba(31, 118, 189, 0.18)",
"full": false,
"lineColor": "rgb(31, 120, 193)",
"maxValue": 100,
"minValue": 0,
"show": true
},
"tableColumn": "{instance=\"10.137.8.193:9100\"}",
"targets": [
{
"calculatedInterval": "10m",
"datasourceErrors": {},
"errors": {},
"expr": "(mysql_global_variables_innodb_buffer_pool_size{instance=\"$host\"} * 100) / on (instance) node_memory_MemTotal_bytes{instance=\"$host\",group=\"mysql\"}",
"format": "time_series",
"instant": true,
"interval": "5m",
"intervalFactor": 1,
"legendFormat": "",
"metric": "",
"refId": "A",
"step": 300
}
],
"thresholds": "40,80",
"title": "Buffer Pool Size of Total RAM",
"type": "singlestat",
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},
{
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},
{
"expr": "node_load1{instance=\"$host\"}",
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"intervalFactor": 2,
"legendFormat": "Load 1m",
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}
],
"thresholds": [],
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},
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"targets": [
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"interval": "$interval",
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"metric": "",
"refId": "A",
"step": 20,
"target": ""
},
{
"calculatedInterval": "2m",
"datasourceErrors": {},
"errors": {},
"expr": "sum((rate(node_disk_write_time_seconds_total{device!~\"dm-.+\", instance=\"$host\"}[$interval]) / rate(node_disk_writes_completed_total{device!~\"dm-.+\", instance=\"$host\"}[$interval])) or (irate(node_disk_write_time_seconds_total{device!~\"dm-.+\", instance=\"$host\"}[5m]) / irate(node_disk_writes_completed_total{device!~\"dm-.+\", instance=\"$host\"}[5m])) or \navg_over_time(aws_rds_write_latency_average{instance=\"$host\"}[$interval]) or avg_over_time(aws_rds_write_latency_average{instance=\"$host\"}[5m]))",
"format": "time_series",
"interval": "$interval",
"intervalFactor": 1,
"legendFormat": "Write",
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"refId": "B",
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}
],
"thresholds": [],
"timeFrom": null,
"timeRegions": [],
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},
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},
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},
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{
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{
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}
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"type": "interval"
},
{
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"value": "wikidb-10.137.10.231"
},
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"includeAll": false,
"label": "MySQL实例",
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"multiFormat": "regex values",
"name": "host",
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"query": "label_values(mysql_up{group=\"mysql_db\"}, instance)",
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"refresh_on_load": false,
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"skipUrlSync": false,
"sort": 1,
"tagValuesQuery": null,
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},
"time": {
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"to": "now"
},
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"enable": true,
"hidden": false,
"notice": false,
"now": true,
"refresh_intervals": [
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"status": "Stable",
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},
"timezone": "browser",
"title": "MySQL Dashboard",
"uid": "MQWgroiiz",
"version": 24
}Linux-Dashboard
点击查看代码
{
"annotations": {
"list": [
{
"builtIn": 1,
"datasource": "-- Grafana --",
"enable": true,
"hide": true,
"iconColor": "rgba(0, 211, 255, 1)",
"name": "Annotations & Alerts",
"type": "dashboard"
}
]
},
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"id": 82,
"iteration": 1631510860337,
"links": [
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"title": "更新node_exporter",
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"type": "link",
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},
{
"icon": "external link",
"tags": [],
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"title": "更新当前仪表板",
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"type": "link",
"url": "https://grafana.com/dashboards/8919"
},
{
"icon": "external link",
"tags": [],
"targetBlank": true,
"title": "StarsL.cn",
"tooltip": "",
"type": "link",
"url": "https://starsl.cn"
},
{
"asDropdown": true,
"icon": "external link",
"tags": [],
"targetBlank": true,
"title": "",
"type": "dashboards"
}
],
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"datasource": "Prometheus",
"gridPos": {
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"w": 24,
"x": 0,
"y": 0
},
"id": 187,
"panels": [],
"title": "资源总览（关联JOB项）当前选中主机：【$show_hostname】实例：$node",
"type": "row"
},
{
"columns": [],
"datasource": "Prometheus",
"description": "分区使用率、磁盘读取、磁盘写入、下载带宽、上传带宽，如果有多个网卡或者多个分区，是采集的使用率最高的网卡或者分区的数值。",
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},
"overrides": []
},
"fontSize": "100%",
"gridPos": {
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},
"id": 185,
"pageSize": 10,
"showHeader": true,
"sort": {
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"desc": true
},
"styles": [
{
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"align": "auto",
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],
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"decimals": 1,
"link": false,
"linkTooltip": "",
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},
{
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],
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"linkTargetBlank": false,
"linkTooltip": "浏览主机明细",
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},
{
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},
{
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],
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},
{
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},
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],
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],
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},
{
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],
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],
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},
{
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],
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],
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},
{
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],
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],
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},
{
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],
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}人们永远没有足够的时间把它做好，但永远有足够的时间重新来过。 可是，因为并不是总有机会重做一遍，你必须做得更好，换句话说， 人们永远没有足够的时间去考虑到底是不是想要它，但永远有足够的时间去为之后悔。 ★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★ 浅掘千口井，不如深挖一口井！当知识支撑不了野心时，那就静下心来学习吧！运维技术交流QQ群：618354452
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