What This Category of Data Looks Like
Ledger data for coal transportation and sales comes primarily from three data sources: weighing systems, transportation and sales scheduling systems, and financial settlement systems. Each individual real-time waybill ledger is an independent document, containing fields such as waybill number, coal category, shipment volume (unit: ton), shipment origin, destination, settlement unit price (unit: yuan/ton), freight, settlement time, and carrier information. A full daily waybill summary table is generated each day, while a monthly summary report containing fields including total shipment volume and total revenue over the period is generated each month. Data update rhythm follows: real-time generation per individual waybill, scheduled triggering of daily summaries, and generation of monthly summaries after the end of the natural month.
Constraints Imposed on Database and Operations Maintenance
High-frequency writes of real-time waybills create continuous database read and write pressure, requiring sufficient connection pools and a reasonable sharding strategy. Heterogeneous data sources from multiple systems need adaptation to different storage formats to ensure data synchronization consistency. Structured aggregate queries for monthly summary reports require database engines that support complex logic. Numeric fields such as weight and amount need precise index configuration to improve query efficiency. Compliance requirements for business data require regular full and incremental backups to ensure data recoverability. Coal transportation and sales has high business continuity requirements, so database clusters need high availability capabilities to avoid service interruptions caused by single points of failure.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| MongoDB connection address | mongodb://admin:xxx@host:27017/coal_yunxiao?replicaSet=rs1 | Adapts to the replica set storage requirements of real-time coal transportation and sales waybills, and achieves high-availability writes via the MONGODB_URI configuration |
| PostgreSQL connection address | postgresql://admin:xxx@host:5432/report_db?sslmode=verify-full | Supports structured complex queries for monthly summary ledgers, and ensures data consistency via the PG_URL configuration |
| Maximum database connections | 60–100 | Meets connection requirements for high-frequency real-time waybill writes, and avoids connection exhaustion via the DB_MAX_LINK configuration |
| Redis connection address | redis://default:xxx@host:6379/0 | Caches daily summary statistical data, and reduces query pressure on the primary database via the REDIS_URL configuration |
| Database backup cycle | Full backup at 00:00 daily + incremental backup every hour | Ensures compliance and recoverability of coal transportation and sales business data |
| Query timeout duration | 300 seconds | Adapts to long-running aggregate queries for monthly summary reports, and avoids mid-execution interruptions |
Three Common Misconfigurations
- Phenomenon: Database processes maintain sustained high disk read and write activity, with single-hour read/write volume exceeding 100 GB, and logs report "disk usage exceeded threshold". Cause: No reasonable disk cache and sharding strategy configured for high-frequency real-time writes of coal transportation and sales, leading to large volumes of random writes occupying disk resources.
- Phenomenon: Milvus deployment fails with a PostgreSQL dependency configuration error, and container logs show "pgvector connection failed". Cause: Confused the vector database configuration for unstructured data with the PostgreSQL configuration for structured ledgers, and failed to separate database dependencies for different data sources.
- Phenomenon: After a MongoDB replica set failover, services cannot automatically reconnect, and logs show "connection closed by remote host". Cause: Failed to properly configure the replica set reconnection mechanism, leading to service interruption after primary node drift.
How to Verify Correct Configuration
- Run the built-in database connection test tool, and confirm that MongoDB, PostgreSQL, and Redis connections are normal.
- Submit a simulated waybill data entry, check that the database write logs have no errors, and that ledger data synchronization is complete.
- Trigger a monthly summary report generation task, confirm that aggregate query duration meets expectations, and no timeout errors occur.
- Check database backup task execution logs, and confirm that full and incremental backups are completed on schedule.
The values given are common starting points and should be measured 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.