What This Type of Data Looks Like
This type of data primarily comes from package managers, code repositories, public vulnerability databases, and license databases. It is updated either on a daily sync schedule or alongside software version releases. Generated documents include four categories: SBOM manifests, dependency risk reports, license lists, and repair tickets. Fields cover third-party component names, version numbers, associated vulnerability IDs, license types, repair suggestions, and more. Some reports require risk level and impact scope annotations. Data formats include both structured tables and unstructured text.
What Constraints Do These Characteristics Impose on the Database and Operations Link
Because data sources are scattered, integration with multiple heterogeneous data sources such as package managers, code repositories, and vulnerability databases is required. The database must support multi-protocol connections and unstructured format parsing capabilities. Update cycles have peak periods: large volumes of incremental data are generated during version releases or batch scans, so appropriately configured connection pools and batch write mechanisms are needed. Fields vary significantly across different report types, so flexible field mapping rules must be established to accommodate various output formats. At the same time, as data is tied to supply chain security risks, the operations link must ensure data access permission isolation and change consistency.
How to Configure Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Database connection address | postgresql://sbom_user:sbom_pass@db.example.com:5432/sbom_db?sslmode=prefer | Stores structured SBOM manifests and dependency matching data |
| Maximum database connections | 15–25 | Adapts to concurrent write requests during daily batch scans and version releases |
| Redis cache address | redis://redis_user:redis_pass@cache.example.com:6379/1?maxmemory=2000 MB | Caches frequently accessed license information and vulnerability summaries to reduce load on the primary database |
| MongoDB connection address | mongodb://report_user:report_pass@mongo.example.com:27017/risk_report?authSource=admin | Stores unstructured risk reports and repair tickets |
| Database write timeout | 300 seconds | Adapts to write operations for large-batch dependency scan data |
This page is compatible with FastGPT v4.17.0.
Three Common Configuration Errors
- After configuring the database connection, data extraction operations cannot be performed. This occurs because the outbound IP of the FastGPT service has not been configured in the database whitelist, or the connection string does not specify the correct database name and corresponding permission scope.
- Connection to the specified database tool fails. This occurs because the correct database port and access credentials have not been specified in the configuration, or remote access permissions for the database have not been enabled.
- Database query tasks fail to execute. This occurs because the configured maximum database connections are too low, leading to connection exhaustion during concurrent requests, or the write timeout period is too short to complete large-batch data processing.
How to Verify Successful Configuration
- A local connection verification command is executed to confirm that the configured database connection address and permission information can establish a normal session.
- A single-component dependency scan is triggered to check whether structured data can be correctly written to the configured database.
- The cache monitoring panel is reviewed to confirm that frequently accessed license data can be normally hit by the cache system.
- The corresponding storage collection is inspected to confirm that generated risk reports and repair tickets have complete fields with no missing content.
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.