What the data for this category looks like
This category’s data originates from ticketing systems, customer interviews, CRM, and product roadmaps. It is maintained by product operations, customer success teams, and product managers. Daily documents include requirement pool lists, requirement evaluation forms, customer feedback records, and version planning descriptions. Updates occur weekly or during each version release cycle. Data fields include requirement unique identifiers, associated customer information, requirement descriptions, priority levels, associated version numbers, feedback channels, and other details. No unified mandatory format exists. The original field structure exported by each corresponding tool must be used.
Constraints on database and operations workflows
Multi-data source access requires the database to support flexible field mapping. Hard-coded field structures can cause data write failures, so this must be avoided. Weekly or version-level batch updates require database connection pool configurations to adapt to periodic high-concurrency read/write operations. Connection exhaustion must be prevented. Multi-type document storage requires targeted indexes based on requirement priority and associated version. This improves query efficiency. Data loss or anomalies directly impact requirement scheduling and customer expectations. An automatic backup mechanism must be configured, with the backup cycle matching the data update rhythm. Differences in raw data formats exported by different tools require the operations workflow to reserve field verification and cleaning interfaces. This ensures normal synchronization of data from all sources.
How to configure settings
This configuration guide is based on FastGPT v4.17.0.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
MONGODB_URI | mongodb://req_pool:xxxx@db-host:27017/req_db?authSource=admin | Stores unstructured customer feedback and raw requirement pool data, compatible with multi-tool export formats |
PG_URL | postgresql://cs_user:xxxx@db-host:5432/cs_req | Stores structured requirement evaluation forms and version planning data, supports complex associated queries |
DB_MAX_LINK | 15–25 connections | Adapts to weekly batch synchronization concurrent read/write operations, avoids database connection exhaustion |
REDIS_URL | redis://:redis_pass@redis-host:6379/1 | Caches frequently accessed requirement priority data, reduces primary database query pressure |
| Connection timeout threshold | 600 seconds | Adapts to network fluctuations during cross-system data synchronization, prevents synchronization tasks from failing mid-process |
Three common misconfigurations
- A
mongo connection failederror is prompted when starting local debugging. The cause is an incorrectly configuredMONGODB_URIparameter or a non-functional database service, preventing connection establishment. - Some fields appear empty during batch requirement data synchronization. The cause is the absence of reserved field verification and cleaning links, and failure to adapt to field format differences exported by different data sources, leading to unmatchable fields that cannot be written.
- Weekly requirement pool summary queries take too long. The cause is the absence of database indexes based on requirement priority and associated version, leading to full table scans that consume excessive system resources.
How to confirm successful configuration
- Execute the local debugging command, check the console for a database connection success prompt, and confirm that the
MONGODB_URIorPG_URLconfiguration is correct. - Import a test customer feedback data set, check if fields such as requirement descriptions and associated customer information are fully stored in the database, and confirm that the field mapping configuration is effective.
- Initiate a high-frequency requirement priority query, observe system response speed, and confirm that the caching mechanism configured via
REDIS_URLis working properly. - View the database connection count monitoring panel, confirm that the current connection count does not exceed the
DB_MAX_LINKsetting value, avoiding connection exhaustion that impacts business operations.
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 2026-10-19.