What Data for This Category Looks Like
This category covers the full production workflow for suppliers of braking, steering, chassis, interior and exterior trim, and powertrain components. Daily stored documents include control plans, process flow diagrams, work instructions, first-piece inspection records, patrol inspection records, SPC reports, PPAP materials, 8D reports, and other document types. Data sources include customer drawings and special characteristic lists, ERP/MES systems, measuring tool readings, equipment process parameters, and supplier quality assurance files. Updates are collected continuously for each production batch and shift. Single production data entries include part number, process parameters, test results, batch number, and other fields. Units use millimeter, newton-meter, batch code, and other production-specific formats.
Constraints for Database and Operations Workflows
Multi-source heterogeneous data sources and high-frequency update cycles require the database to support access and storage of both structured metadata and unstructured data such as test reports and drawings. Reasonable concurrent write thresholds must be configured to prevent service blocking during high-frequency batch data writes. Tiered permission controls must be set for core quality data such as special characteristic lists and PPAP materials, per the strict requirements of vehicle customer quality systems. Only authorized personnel may access this data. Single-batch data volume increases as production batches expand. Sufficient storage capacity and horizontal scaling space must be reserved. Database clusters must support automatic recovery capabilities for abnormal scenarios like power outages. This prevents data loss or service interruptions that disrupt quality traceability workflows.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
MONGODB_URI | mongodb://fastgpt:securepass@db-internal:27017/fastgpt?authSource=admin | Stores unstructured test data, SPC reports, and batch logs for high-volume production, and supports horizontal storage scaling |
PG_URL | postgresql://fastgpt:securepass@db-internal:5432/fastgpt?sslmode=require | Stores structured traceability metadata such as control plans, PPAP materials, and 8D reports, and matches the metadata storage logic of FastGPT v4.17.0 |
DB_MAX_LINK | 200–300 connections | Matches high-frequency concurrent write requests in high-volume manufacturing scenarios, and prevents database connection exhaustion |
REDIS_URL | redis://:securepass@redis-internal:6379/0 | Caches frequently accessed batch numbers and special characteristic list data, and reduces query pressure on core databases |
| Data Archiving Cycle | Archive per production batch | Matches the batch-based update characteristics of data for this category, and enables quick historical batch data retrieval per customer requirements |
Three Common Mistakes
- Symptom: Database connection error
Failed to connect to jyfkk:1433, but MongoDB visualization tools can connect normally. Cause: Hostname or port mapping in the database connection string is not configured correctly. When deploying via Docker, the database port is not exposed to the host machine. - Symptom: After a power outage and restart of a Docker deployment, FastGPT fails to start. The prompt indicates PostgreSQL cannot start and MongoDB rejects connections. Cause: Automatic restart policies for database containers are not configured. Data flushing was not completed during the power outage, leading to database file corruption.
- Symptom: Oracle database cannot be connected. Cause: The current FastGPT version does not include a built-in Oracle database driver. Only MongoDB, PostgreSQL, and Redis databases are supported.
How to Confirm Proper Configuration
- Run the database connectivity test script built into FastGPT. Verify connectivity for the
MONGODB_URIandPG_URLconfigurations, and confirm that test data can be read and written normally. - Check the database connection pool monitoring dashboard. Confirm that current active connections do not exceed the threshold set by the
DB_MAX_LINKconfiguration, and that no connection exhaustion occurs. - Manually stop and restart the database service. Verify that FastGPT can automatically restore database connections and start normally, with no service errors.
- Upload a PPAP material to the system. Confirm that the material is correctly archived per the configured storage path, and that target documents can be quickly located via the search function.
The values provided are common starting points, and should be evaluated against the reader's own samples.