What this category's data looks like
Teams source data for this category from code repositories, API gateway logs, business databases, and configuration centers. Update cadence follows a daily schedule or per release cycle. Associated documentation includes interface design documents, database change tickets, code review records, and official release notes. Common data fields include version identifiers, change details, execution timestamps, count of exception logs, service response metrics, and similar items. Teams only retain basic information required for business and operations. Sensitive user-related business data is excluded.
Constraints imposed by these characteristics on database and operations workflows
Decentralized data sources force teams to implement unified database connection management configurations to prevent cross-source connection conflicts. High update frequencies require teams to align database connection pool parameters with business peak loads, avoiding connection exhaustion. The versioned nature of associated documentation requires teams to synchronously record version identifiers for database changes, ensuring alignment between releases and database state. Backend service data consistency requirements mean teams must prioritize transaction boundaries and exception rollback mechanisms. Teams must retain complete exception troubleshooting logs for post-incident analysis, to help identify data anomalies during release or operations.
How to configure settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
MONGODB_URI | mongodb://[username]:[password]@[host address]:[port]/fastgpt?authSource=admin | Follows official MongoDB connection format, compatible with FastGPT v4.17.0 database initialization logic |
PG_URL | postgresql://[username]:[password]@[host address]:[port]/fastgpt?sslmode=prefer | Adheres to PostgreSQL standard connection protocol, balances security and deployment convenience |
DB_MAX_LINK | 20–50 connections | Matches peak concurrent requests for backend services, avoids connection pool exhaustion or resource idle time. Adjust based on actual testing |
REDIS_URL | redis://:[password]@[host address]:[port]/0 | Used for caching sessions, temporary data, and configuration information, simplifies FastGPT operations cache configuration |
Three common configuration errors
- Teams may observe this scenario: After Docker deployment and a power loss restart, FastGPT fails to start. Symptoms include PostgreSQL failing to start or MongoDB rejecting connections. This occurs because no database persistent mount directory is configured. Unwritten cache and transaction logs are not retained during the power loss event, causing database initialization verification failure.
- Teams may encounter this scenario: When using a database connection plugin to connect to PostgreSQL, workflow validation fails, with a prompt indicating missing or null fields. This occurs because database connection username, password, or database name fields are not correctly filled in the configuration, or remote access permissions for the target database are not enabled.
- Teams may see this scenario: MongoDB reports connection timeout errors on startup. This occurs because database connection pool parameters are improperly configured, or network policies block port communication between FastGPT services and MongoDB instances.
How to verify successful configuration
- Review service startup logs to confirm there are no database connection failure error messages.
- Verify that database connection parameters in the system configuration page match the preset configuration items.
- Initiate basic business requests to confirm the service can normally read or write database data.
- Perform a restart test to confirm the database can load normally and provide services after the service restarts.
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.