- Prometheus配置：
在 prometheus.yml 文件中添加以下内容：
scrape_configs:
- job_name: 'greenplum_exporter'
scrape_interval: 15s
static_configs:
- targets: ['<IP address of Greenplum exporter>:9187']
- Greenplum Exporter 配置：
在 greenplum_exporter.yml 文件中添加以下内容：
global:
db_address: <Greenplum master node IP address>
db_port: <Greenplum master node port>
db_user: <Greenplum username>
db_password: <Greenplum password>
metrics:
query_duration_seconds:
help: "Duration of the last query executed in seconds."
sql: "SELECT query_duration_seconds FROM pg_stat_activity WHERE state = 'active' ORDER BY query_start DESC LIMIT 1;"
queries_running:
help: "Number of active queries."
sql: "SELECT COUNT(*) FROM pg_stat_activity WHERE state = 'active';"
connections:
help: "Number of database connections."
sql: "SELECT numbackends FROM pg_stat_database WHERE datname = current_database();"
- Alertmanager 配置：
在 alertmanager.yml 文件中添加以下内容：
global:
slack_api_url: '<Slack webhook URL>'
route:
group_by: ['alertname', 'severity']
receiver: 'slack-notifications'
routes:
- match:
severity: critical
receiver: 'slack-notifications'
- match:
severity: warning
receiver: 'slack-notifications'
receivers:
- name: 'slack-notifications'
slack_configs:
- channel: '#<Channel name>'
send_resolved: true
- Grafana 配置：
使用 Grafana UI 创建 dashboard，选择 Prometheus 数据源，并添加以下 query：
greenplum_exporter_queries_running
greenplum_exporter_query_duration_seconds
这将显示当前运行的查询数和最近执行查询的持续时间。
然后可以根据需要添加其他查询和面板。
![/data # iw --debug dev wlan0 connect -w "lucky-5g" auth open key 0:1234567890
Usage: iw [options] dev connect [-w] [] [] [auth open|shared] [key 0:abcde d:1:6162636465] [mfp:req/opt/no]
Join the network with ...](https://linuxcpp.0voice.com/zb_users/upload/2023/05/202305162239148267954.png)
![驱动代码
void kalRxTaskletSchedule(struct GLUE_INFO *pr)
{
static unsigned int num = 0;
tasklet_hi_schedule(&pr->rRxTask[(num++)%NR_CPUS]);
// tasklet_hi_schedule(&pr->rRxTask);
DBGLOG(HAL, ERROR,](https://linuxcpp.0voice.com/zb_users/upload/2023/05/202305162226144313964.png)
