What data does this category include?
The data for this category mainly comes from requirement research notes, official PRD documents, user story lists, and requirement change tickets. Data sources include customer interview records, internal ticketing systems, and analytics dashboards. Data updates sync with weekly or per-release cycles. Document structures include fields such as unique requirement identifier, business goal description, acceptance criteria details, associated change records, and corresponding prototype links. No unified mandatory units apply. Some fields are stored as natural language paragraphs.
What constraints do these characteristics impose on database and operations workflows?
Data sources include unstructured interview notes and structured requirement change tickets. Mixed storage of text paragraphs and key-value pairs must be supported, which raises database compatibility requirements. Data updates occur weekly or per release. A single update may involve batch document synchronization. Concurrent connections must be limited to prevent database overload. Real-time requirement change synchronization requires low-latency data writes. The association between requirement IDs and linked documents must remain consistent. Misaligned acceptance criteria will occur if this association breaks, leading to development rework or schedule delays.
How to configure settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
MONGODB_URI | mongodb://fastgpt_prd:securepass@db-host:27017/fastgpt_prd?authSource=admin | Adapts to the unstructured text storage requirements of requirement documents, specifies a dedicated database name to isolate business data, uses the standard MongoDB port 27017 |
PG_URL | postgresql://fastgpt_req:securepass@db-host:5432/fastgpt_req?sslmode=require | Used to store structured data such as requirement IDs and change records, SSL encryption ensures transmission security, uses the standard PostgreSQL port 5432 |
DB_MAX_LINK | 20–30 | Matches the concurrent requirement volume of weekly batch synchronization, avoids excessive connection counts occupying database resources, and adapts to the synchronization frequency of small and medium-sized teams |
REDIS_URL | redis://:securepass@cache-host:6379/0 | Used to cache frequently accessed requirement acceptance criteria, reduces database query pressure, uses the standard Redis port 6379 |
Three common configuration errors
- A MongoDB connection failure alert triggers on startup. Troubleshooting reveals
MONGODB_URIhas incorrect authentication parameters or database address, resulting in a rejected database connection. - The database connection node blocks port number input. The configuration file does not grant environment variable parsing permissions for the target port, disabling the front-end input box and preventing custom port configuration.
- Request timeouts occur during batch requirement document synchronization.
DB_MAX_LINKis set too low, exhausting the connection pool and failing to handle batch synchronization requests for requirement changes, causing service lag.
How to verify successful configuration
- Run the
mongo --uri ${MONGODB_URI}command to confirm the database connection is normal, with no authentication or address errors. This matches the database call logic for FastGPT v4.17.0. - Submit a test requirement change record, then check if the corresponding structured data is successfully written to the PostgreSQL database. Confirm the association relationship is stored correctly.
- View the Redis monitoring dashboard to confirm the cache hit rate for high-frequency requirement data meets expectations, reducing database query load.
- Simulate batch synchronization of 100 requirement documents, then check that the database connection count does not exceed the
DB_MAX_LINKsetting. Confirm concurrent processing capability meets requirements.
The values provided 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 2026-10-19.