Release Notes and Operation Report Summary for Interface Integration and Data Docking: Database and Operations

The business data for interface integration and data docking originates primarily from client system interfaces, API documentation, test data, and

What this category of data looks like

The business data for interface integration and data docking originates primarily from client system interfaces, API documentation, test data, and integration logs. Daily documents include interface lists, integration records, field mapping tables, and issue tracking tables. Data updates occur daily or per project phase. Fields include interface addresses, request methods, parameter mapping rules, call times, error codes, processing status, and more. The core of this data is ongoing inter-system exchange, requiring storage that supports real-time read/write and flexible mapping.

Because data sources are scattered and update rhythms vary, the database must support multi-source writing and dynamic field adaptation, and cannot use fixed-schema bulk import configurations. Ongoing inter-system exchange requires the database connection pool to have reasonable concurrent capacity to avoid business interruptions from exhausted connections. Multiple associated documents must be linked to database operation logs to enable rapid tracing of integration issues. Real-time data synchronization also requires configured caching mechanisms to reduce high-frequency query pressure on the core database and ensure integration process stability.

How to set configurations

Configuration ItemSuggested ValueRationale
MONGODB_URImongodb://[username]:[password]@[intranet host address]:27017/[business database name]?authSource=adminComplies with MongoDB standard connection format for FastGPT v4.17.0, supports authentication and specified authentication database, and adapts to integration log storage needs
PG_URLpostgresql://[username]:[password]@[intranet host address]:5432/[business database name]?sslmode=requireAdapts to official PostgreSQL connection protocol, enables SSL to ensure data transmission security, and is used to store field mapping tables and issue tracking tables
DB_MAX_LINK10–20Balances concurrent calls and database load, avoids connection pool overload, adapts to daily call volume for interface integration, and is calibrated based on actual testing
REDIS_URLredis://:[password]@[intranet host address]:6379/0Used to cache frequently called interface return results and integration log indexes, reducing query pressure on the core database
Database log fieldsMandatorily carry caller identifier, request time, return status codeMeets differentiation needs for data from different sources, facilitating rapid troubleshooting of subsequent integration issues

Three common mistakes

  • Phenomenon: Different source integration requests cannot be distinguished in logs. Cause: The caller identifier is not included in the database connection parameters, or the caller field is not supplemented when writing logs, resulting in mixed data from different sources.
  • Phenomenon: Database connection plugin latency increases significantly in the same workflow. Cause: The DB_MAX_LINK configuration value is too low, the connection pool cannot allocate available connections in time, causing requests to queue and wait, which corresponds to performance difference scenarios in integration scenarios.
  • Phenomenon: Database connection shows connect ETIMEDOUT in the workflow but can connect locally. Cause: The host address in the database connection parameters is not configured with intranet access permissions, or the network policy restricts external access to the specified port.

How to confirm the configuration is complete

  • View the integration logs stored in the database, confirm that each log carries the caller identifier field, and verify that requests from different sources can be accurately distinguished.
  • Perform continuous database connection tests, record the latency of a single operation, confirm that the latency is stable within the reasonable range of 0.1–1.0 seconds, with no obvious queuing delay.
  • Simulate network interruption and recovery, check whether the database connection automatically retries, and normal calls can be restored without manual intervention.
  • Check the active connection count of the database connection pool, confirm that it does not exceed the DB_MAX_LINK configuration value, to avoid connection overload affecting business processes.

The values provided are common starting points and should be validated against local deployment 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.