What the data for this category looks like
Reference only; verify against the target FastGPT release and deployment documentation.
What constraints these characteristics impose on the database and operations link
Multi-source data access requires the database to support mixed storage of structured and unstructured data. High-frequency updated real-time metrics require the database connection pool to handle concurrent write operations. Diverse and standardized fields require index creation to optimize query efficiency. Real-time queries related to alarms need caching mechanisms to reduce database load. Long-term storage of historical reports requires a data archiving strategy to avoid system response slowdowns caused by full data queries.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
MONGODB_URI | mongodb://admin:securepass@mongodb-cluster.example.com:27017/health_diagnosis?retryWrites=true&w=majority&maxPoolSize=20 | Stores unstructured patrol logs and historical report snapshots, supports batch writes for multi-node data |
PG_URL | postgresql://dbuser:dbpass@pg-db.example.com:5432/health_db?sslmode=require | Stores structured patrol metrics and alarm rules, ensures data consistency and transaction security |
DB_MAX_LINK | 15–25 | Matches concurrent write volume of real-time patrol data, prevents database connection pool exhaustion |
REDIS_URL | redis://redispass@redis-cache.example.com:6379/1 | Caches patrol snapshots from the last 10 minutes and active alarms, reduces pressure from high-frequency database queries |
Three common misconfigurations
- Database queries return a 504 Gateway Timeout status code. This occurs when connection pool size is not adjusted for the high-frequency updates of health diagnosis reports, leading to connection exhaustion and failed request responses.
- Structured fields such as CPU usage and memory usage in patrol reports are empty. This occurs when write permissions for
PG_URLare not properly configured, preventing structured patrol metrics from being stored in the relational database. - Alarm judgment requests take too long. This occurs when
REDIS_URLcaching of recent snapshots is not enabled, requiring full historical data queries directly from the relational database.
How to confirm configurations are set correctly
- View the database connection pool monitoring dashboard. Confirm that current active connection count does not reach the
DB_MAX_LINKlimit. Adjust based on the actual number of patrol nodes. - Submit a simulated patrol data entry. Check that data is correctly stored in the corresponding database. Verify connectivity and write permissions for
MONGODB_URIandPG_URL. - Trigger a simulated alarm judgment request. Check that the response time of cached queries meets business requirements. Adjust based on the service level agreement standard for alarm responses.
- View system operation logs. Confirm there are no database connection error or permission denial logs. Verify the effectiveness of the configurations.
The values provided are common starting points and should be evaluated against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.