What the Data in This Category Looks Like
Data for telecom service investment research mainly comes from public technical documents of telecom equipment vendors, export data from carrier operation backends, industry association monitoring reports, and spectrum allocation announcements. Update rhythms vary: real-time operation data is pushed minute-by-minute, industry monitoring data is updated weekly, and equipment parameter documents are updated quarterly. Most documents are structured tables and time-series data, with fields including device model, frequency band range, transmission rate, coverage area, and operating duration. Units are mostly MHz, Gbps, square kilometers, and hours. There is no unified unstructured text format.
What Constraints Do These Characteristics Impose on the Database and Operations Link
The characteristics of telecom service investment research data impose multiple constraints on the database and operations link. First, minute-level real-time operation data requires the database to support high-concurrency writes and low-latency queries, and must adapt to the format requirements of time-series storage engines. Second, field differences in multi-source heterogeneous data require the database to support flexible schema changes, avoiding hard-coded fields that limit data access. Third, the need to retrieve historical investment research data requires establishing time-based secondary indexes to shorten the response time of complex queries. Fourth, differences in update frequencies across data sources require configuring a hot/cold data separation storage strategy, reducing hot data storage costs while ensuring query efficiency.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
MONGO_URI | mongodb://<user>:<pass>@<host>:<port>/fastgpt?authSource=admin | Adapts to FastGPT's official default MongoDB connection format, supports authentication and specified business database |
DATA_SYNC_INTERVAL | 300 seconds | Adapts to the update granularity of telecom service industry monitoring data, balances data synchronization latency and server load |
MAX_CONCURRENT_QUERIES | 50–80 | Adapts to the high-concurrency query demand of real-time telecom operation data, prevents database connection exhaustion |
PARSE_DOC_TIMEOUT | 600 seconds | Adapts to the parsing time requirement of long documents such as telecom equipment white papers, prevents the parsing process from timing out and interrupting |
RECALL_CHUNK_SIZE | 1000–1200 characters | Adapts to the paragraph length characteristics of telecom technical documents, ensures the integrity of recalled content |
DB_INDEX_EXPIRY_DAYS | 180 days | Adapts to the retrieval cycle of investment research data, automatically cleans up expired indexes to save storage space |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing.
Three Common Configuration Errors
- Symptom:
connection refused to mongoerror occurs after startup. Cause: Host address and permission parameters inMONGO_URIare not configured correctly, resulting in failure to establish a database connection. - Symptom: Knowledge base recall results are empty. Cause: Request timeout and retry policies for external data interfaces are not configured, leading to failure of local external service calls due to network fluctuations, and no valid data is returned.
- Symptom:
503 Service Unavailableerror occurs under version v4.9.14. Cause: TheMAX_CONCURRENT_QUERIESparameter is not adjusted, the default concurrency number is insufficient to support the high query demand of real-time telecom data, resulting in request queue overflow.
How to Verify Successful Configuration
- Execute the database connection test script, verify that the
MONGO_URIconfiguration can read and write data normally, and check that the returned fields match the format requirements of telecom service data. - Initiate an external data interface call test, verify that the configured request parameters and timeout time can normally obtain telecom industry data sources, and there are no network abnormality errors.
- Simulate high-concurrency query requests, observe database connection count and response time, confirm that the value of
MAX_CONCURRENT_QUERIEScan cover actual business peaks. - Check the knowledge base parsing log, confirm that the
PARSE_DOC_TIMEOUTconfiguration does not trigger long document parsing timeout, and complete structured data is returned.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.