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sql_exporter通过sql收集业务数据并通过prometheus+grafana展示

news 2025/6/29 0:08:09

下载并解压安装sql_exporter

wget https://github.com/free/sql_exporter/releases/download/0.5/sql_exporter-0.5.linux-amd64.tar.gz
#解压
tar xvf sql_exporter-0.5.linux-amd64.tar.gz -C /usr/local/

修改主配置文件

cd /usr/local/
mv sql_exporter-0.5.linux-amd64 sql_exporter
cd /usr/local/sql_exporter
cat /usr/local/sql_exporter/config.yml

# Global defaults.
global:# Subtracted from Prometheus' scrape_timeout to give us some headroom and prevent Prometheus from timing out first.scrape_timeout_offset: 500ms# Minimum interval between collector runs: by default (0s) collectors are executed on every scrape.min_interval: 0s# Maximum number of open connections to any one target. Metric queries will run concurrently on multiple connections,# as will concurrent scrapes.max_connections: 3# Maximum number of idle connections to any one target. Unless you use very long collection intervals, this should# always be the same as max_connections.max_idle_connections: 3# Maximum number of maximum amount of time a connection may be reused. Expired connections may be closed lazily before reuse.# If 0, connections are not closed due to a connection's age.max_connection_lifetime: 5m# The target to monitor and the collectors to execute on it.
target:# Data source name always has a URI schema that matches the driver name. In some cases (e.g. MySQL)# the schema gets dropped or replaced to match the driver expected DSN format.data_source_name: 'mysql://prometheus_user:prometheus_password@dbIP:3306/DBname'# Collectors (referenced by name) to execute on the target.# Glob patterns are supported (see <https://pkg.go.dev/path/filepath#Match> for syntax).collectors: [DBname*]# Collector files specifies a list of globs. One collector definition is read from each matching file.
# Glob patterns are supported (see <https://pkg.go.dev/path/filepath#Match> for syntax).
collector_files: - "/usr/local/sql_exporter/DBname_tables.yml"

编写sql查询配置文件

cat /usr/local/sql_exporter/DBname_tables.ymlcollector_name: DBname_tables
metrics:
- metric_name: member_register_count_todaytype: gaugehelp: '当日会员注册数'values: [member_register_count_today]query: |SELECT COUNT(0) as 'member_register_count_today' FROM manage_member WHERE DATE(create_time)=CURDATE()

编写启动脚本并启动

cat > /usr/lib/systemd/system/sql-exporter-DBname.service <<EOF
[Unit]
Description=sql_exporter[Service]
ExecStart=/usr/local/sql_exporter/sql_exporter -config.file /usr/local/sql_exporter/config.yml  -web.listen-address 0.0.0.0:9501
Restart=on-failure[Install]
WantedBy=multi-user.target
EOF
systemctl daemon-reload
systemctl enable sql-exporter-DBname.service --now

接入prometheus

  - job_name: 'sql'scrape_interval: 1mscrape_timeout: 50sstatic_configs:- targets:- 'localhost:9501'

prometheus热加载生效

curl -X POST http://localhost:9090/-/reload

prometheus查看监控指标是否收集

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curl http://localhost:9501/metrics

grafana配置监控面板

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配置会员注册趋势

#当日
floor(delta(member_register_count_today[$__rate_interval]))>0 or (member_register_count_today*0)
昨日
floor(delta(member_register_count_today[$__rate_interval] offset 1d)) > 0 or (member_register_count_today*0)

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