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 deployment and upgrade
Rail transit equipment business data has high structuralization and includes unique identifier fields. This requires database connection configurations to support high-concurrency read and write operations, avoiding single connections blocking business synchronization. Real-time or batch update rhythms require cache configurations to adapt to short-cycle data refreshes, preventing old data from being incorrectly loaded. Storage requirements for attached overhaul reports require object storage configurations to support upload and reading of unstructured files such as PDFs. The uniqueness of equipment identification numbers requires data association logic to strictly match identifier fields, avoiding cross-equipment data confusion.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
DB_MAX_LINK | 20–30 connections | Adapts to the high-concurrency read and write requirements of rail transit equipment business data, prevents connection pool exhaustion |
STORAGE_S3_ENDPOINT | Intranet access address corresponding to the enterprise's object storage | Adapts to high-speed storage and reading of large attachments such as overhaul reports, reduces public network transmission latency |
REDIS_URL | Intranet Redis instance address with password authentication enabled | Supports short-cycle data caching and real-time synchronization verification, ensures timeliness of business data |
FILE_TOKEN_KEY | 32-bit random string generated based on business scenarios | Used for permission verification during attachment download, prevents unauthorized access to sensitive files such as overhaul reports |
ROOT_KEY | Complex random string | Restricts access to platform administrator permissions, ensures security of business processing flow configuration |
FE_DOMAIN | Intranet or public network access domain name for the deployed service | Adapts to resource loading and callback logic of the business processing page |
Three common errors
- When the value of
DB_MAX_LINKis set too low, error logs about business data synchronization timeout will appear. The cause is that the connection pool cannot support concurrent read and write requests for batch overhaul work orders. - When the connection string for
MONGODB_URIis filled incorrectly, an interface prompt that the knowledge base cannot load images will appear. The cause is database connection abnormalities preventing reading of attachment metadata. - When the intranet access address for
STORAGE_S3_ENDPOINTis not configured, an interface response with 500 Internal Server Error will be returned. The cause is excessive latency or insufficient permissions when accessing object storage over the public network.
How to confirm the configuration is complete
- Run the database connection test script to verify whether the connection pool configured via
DB_MAX_LINKcan normally allocate connections. - Upload a PDF overhaul report for rail transit equipment, and verify whether the attachment can be downloaded normally through the business processing page.
- Initiate a simulated business processing flow, and check whether data can be normally synchronized to the database and have its status updated.
- Call the cache service test interface to verify whether the cache service configured via
REDIS_URLcan normally store temporary session data.
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.