What Data Falls Under This Category
This category's data originates from government information disclosure platforms, agency archive systems, document management systems, departmental business ledgers, and regulatory documents related to government information disclosure. Daily processed documents include government information disclosure application forms, correction notices, third-party opinion solicitation letters, response letters, service receipts, and administrative reconsideration response materials. Data update frequency is irregular. The system creates new content as each individual application’s processing progresses. Data fields include unique application ID, applicant entity information, application submission time, application matters, information retrieval results, public attribute judgment results, response document number, service voucher number, and reconsideration-related material association identifiers.
Constraints on Database and Operations Workflows
Multi-source data access requirements demand that the database supports integration with structured and unstructured data formats from different systems. Irregular update cycles require configuring incremental synchronization mechanisms to avoid resource waste and delays caused by full synchronization. Diverse document types require the database to support both structured ledger storage and unstructured document storage. Errors may lead to issues such as overdue responses or administrative reconsideration corrections, so the database must have reliable backup and traceability capabilities to ensure every application data record can be audited and queried. Additionally, the case-by-case processing nature requires data to be indexed uniquely by the unique application ID to enable fast retrieval and associated queries.
Configuration Recommendations
These configuration recommendations apply to FastGPT v4.17.0:
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
MONGODB_URI | mongodb://[username]:[password]@[host]:[port]/[db_name]?authSource=admin | Stores unstructured document content such as response letters and administrative reconsideration response materials |
PG_URL | postgresql://[username]:[password]@[host]:[port]/[db_name] | Stores structured ledger data such as application numbers, applicant information, and application submission times |
DB_MAX_LINK | 8–12 | Adapts to the concurrent access volume of daily applications from government departments, preventing database connection pool exhaustion |
REDIS_URL | redis://:[password]@[host]:[port]/0 | Caches frequently queried application retrieval results and public attribute judgment results to reduce repeated database requests |
| Database backup cycle | No more than 7 days | Ensures ledger data is traceable, meeting audit requirements for scenarios such as administrative reconsideration |
| Connection timeout threshold | 600 seconds | Adapts to the time consumption of cross-system data queries, preventing task interruption mid-execution |
Three Common Misconfigurations
- Database connection logs return the
connection refusedstatus code. The cause is incorrect entry of host address, port, or authentication information in the configuredMONGODB_URIorPG_URL, or the target database has not enabled access permissions. - The ledger cannot retrieve uploaded documents such as correction notices and response letters. The cause is that incremental synchronization rules are not configured, only a one-time full data import was performed, and subsequent updated application documents were not synchronized to the FastGPT database.
- Ledger aggregation tasks time out. The cause is that the
DB_MAX_LINKvalue is set too small, concurrent application data query requests exhaust the database connection pool, preventing new requests from obtaining available connections.
How to Verify Successful Configuration
- Run the built-in database connection verification tool included with FastGPT, confirm that all configured data sources can establish normal connections, and correct connection parameters based on the verification results.
- Import a single test government information disclosure application form, verify that the fields stored in the ledger match the original document, and confirm that the structured and unstructured data storage configurations are correct.
- Trigger a small-scale ledger aggregation task, check that the task execution logs have no abnormalities, and adjust the connection pool and timeout configurations based on task operation status.
- Retrieve frequently queried application information, confirm that cached results can be returned normally, and verify that the caching function configured via
REDIS_URLis operational.
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 2026-09-28.