What this category of data looks like
Data for this category originates from requirement specification documents, test environment configurations, customer business sample data, and defect management systems. Updates occur once per delivery phase or version iteration. Daily produced documents include UAT use cases, acceptance issue tickets, acceptance reports, and signed confirmation forms. Data fields cover test scenario numbers, issue reproduction steps, acceptance conclusions, and associated version numbers. Units primarily use scenario serial numbers, counts of operation steps, and conclusion status identifiers. There is no unified quantitative statistical unit.
What constraints these characteristics impose on database and operations workflows
Scattered data sources require integration with multiple system interfaces and configuration of multi-source data synchronization rules. Phase and version update requirements mandate that databases support versioned archiving to prevent data overwrites. Document fields include both unstructured text (such as issue reproduction steps) and structured identifiers (such as acceptance conclusions), requiring compatible mixed data storage. Customer business sample data uses custom formats, requiring reserved space for field expansion. Real-time synchronization with defect systems requires configuring stable connection pools and retry mechanisms in operations workflows to ensure uninterrupted data transfer.
How to configure settings
The following configuration items are adapted for the user acceptance testing support scenario of FastGPT v4.17.0:
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
MONGODB_URI | mongodb://user:pass@host:27017/uat_db?authSource=admin | Stores unstructured documents for defect systems and acceptance reports, adapting to multi-source data archiving requirements |
PG_URL | postgresql://user:pass@host:5432/uat_metadata | Stores structured metadata such as UAT use cases and acceptance conclusions, ensuring compatibility for field expansion |
DB_MAX_LINK | 10–15 | Matches the number of concurrent test scenarios per phase, preventing connection pool overflow that interrupts data synchronization |
REDIS_URL | redis://:pass@host:6379/0 | Caches frequently accessed customer business sample data, reducing direct database query pressure |
Three common configuration mistakes
- Scenario: Database query workflows return "no data found via SQL query". Cause:
PG_URLis not configured to point to the correct metadata repository, causing the query path to target an empty or incorrect data source. - Scenario: Local debug environment startup displays a
MONGODB_URIconnection failure. Cause: The authentication source parameter is missing from the configuration, or network policies restrict access to the database port. - Scenario: Connection timeouts occur during batch synchronization of acceptance issue tickets. Cause:
DB_MAX_LINKis set too low, causing concurrent requests to exceed the connection pool limit and result in queue timeouts.
How to verify successful configuration
- Run a preset UAT use case data query script, verify that returned results match the test environment's business sample data. Adjust the verification threshold based on the number of test scenarios in the current phase.
- View the database connection pool monitoring dashboard, confirm that active connections do not exceed the
DB_MAX_LINKsetting. Adjust the verification threshold based on the number of concurrent test scenarios. - Restart the deployment environment, check that console logs contain no connection errors related to
MONGODB_URI,PG_URL, orREDIS_URL. Verify that configuration parameters match the actual deployment environment. - Batch import a set of acceptance issue tickets, verify that data is fully synchronized to the database. Adjust the verification threshold based on the total number of issue tickets in a single phase.
The values provided here are common starting points and should be evaluated against the deployment’s own sample data.
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.