1、前期准备
1.1项目依赖链接
依赖开源工程 | 工程链接 |
---|
普罗米修斯 | https://github.com/prometheus/pushgateway | opengauss_export | https://github.com/enmotech/opengauss_exporter | pushgateway | https://github.com/prometheus/pushgateway | openGauss | https://gitee.com/opengauss/openGauss-server |
1.2 工具包准备
系统环境 | 工具版本 |
---|
ARM+openEuler | prometheus-2.21.0.linux-arm64.tar.gz、pushgateway-1.2.0.linux-arm64.tar.gz、grafana-7.1.5-1.aarch64.rpm | X86+openEuler | prometheus-2.21.0.linux-amd64.tar.gz、pushgateway-1.3.0.linux-amd64.tar.gz、grafana-7.2.1-1.x86_64.rpm |
2、监控系统安装部署
2.1 tpmC采集和发送
'''
功能描述:在benchmarksql工具测试过程的输出信息通过tee命令 固定输出到/tmp/tpcc.log(便于在不同环境上部署),采集函数从/tmp/tpcc.log文件获取到tpmC值,发送函数将值发送到pushgateway服务。
'''
def collect_tpmc():
log_file = "/tmp/tpcc.log"
cmd = "tail -1 %s > /home/tpmc;awk -F ':' '{print $(NF-2)}' /home/tpmc | awk '{print $1}'" % log_file
tpmc = os.popen(cmd).read().strip()
tpmc = float(tpmc) * 0.45
count_tpmc = "count_tpmc{count_tpmc=\"count_tpmc\"} " + str(tpmc) + "\n"
print("count_tpmc : %s" %count_tpmc)
return count_tpmc
def send_data(data_type, node):
if data_type == "cpu":
send_cmd = "cat {file_cpu} | curl --data-binary @- pushgateway_ip:port/metrics/job/{node}/instance/{data_type}".format(
file_cpu=file_cpu, node=node, data_type=data_type)
os.popen(send_cmd)
2.2 pushgateway的使用
cd pushgateway-1.2.0.linux-arm64
./pushgateway
? 网页显示效果如下: 
2.3 opengauss_exporter的使用
GO GET配置
git config --global http.proxy http://域账号:密码
git config --global https.proxy https://域账号:密码
git config --global http.sslverify false
git config --global https.sslverify false
GO MODULE配置
export GO111MODULE=on
export GOPROXY=http://***/
export GONOSUMDB=*
配置数据库白名单
host all all ip md5
配置启动opengauss_exporter
cd opengauss_exporter-master
make build
export DATA_SOURCE_NAME="postgresql://tpcc:******@ip:port/tpcc?sslmode=disable"
./bin/opengauss_exporter --config="og_exporter_default.yaml"
注:默认端口为9187
? 启动效果 
2.4 prometheus的使用
prometheus.yml 文件配置参考
scrape_configs:
- job_name: 'prometheus'
static_configs:
- targets: ['prometheus_ip:9090']
- job_name: 'pushgateway'
static_configs:
- targets: ['pushgateway_ip:9091']
labels:
instance: pushgateway
- job_name: 'opgs_report'
static_configs:
- targets: ['opgs_report:9187']
labels:
instance: opgs_report
./prometheus
? 启动效果 
2.5 grafana的使用
yum install grafana-7.1.5-1.aarch64.rpm
service grafana-server start
网访问prometheus_ip:3000
初始用户名密码均为admin
? 数据源的配置  Dashboard的导入
openGauss_exporter工程 界面模板路径如下
opengauss_exporter-master\opengauss_exporter-master\dashboard\
模板也可根据自己需求灵活配置
? 界面效果如下  tpmC显示panel的添加 
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