What the data for this category looks like
Solid waste treatment investment research data is used for industry analysis, project evaluation and compliance verification. It comes from three categories:
- Full lifecycle EIA reports, completion reports and operation logs for projects
- Real-time or scheduled pollutant emission monitoring data and equipment operating parameters
- Industry control policies and local environmental protection standard documents
Update rhythms vary significantly: monitoring data is updated hourly or daily, operation logs are updated monthly or quarterly, and policy documents have no fixed update cycle. Single document volume spans widely: small operation logs are only tens of KB, while large project reports can reach several GB. Data fields include fixed units, such as tons per day for processing volume and mg/L for pollutant concentration. Business identifiers like project numbers and point codes must be associated with the data.
What constraints these characteristics impose on the "database and operations" link
Multi-source heterogeneous data structures require the database to support structured monitoring parameter storage, unstructured document storage and relational business association queries. High-frequency write demands for real-time monitoring data require database connection pool configurations adapted to high-concurrency scenarios. Parsing and storage of large-volume documents require adjusting timeout and capacity limits for file upload and parsing. Fixed fields and units require type and format validation at the database layer to prevent invalid data writes. Data with different update frequencies require database sharding or scheduled synchronization tasks to ensure query efficiency. Investment research demands for full historical data require retaining audit logs of data changes, without overwriting original records.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
DB_CONNECTION_POOL_SIZE | 8-16 | Adapt to the concurrent write and query demands of multi-source solid waste treatment data, avoid connection exhaustion |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Match the parsing time of large solid waste project reports, prevent timeout during long document parsing |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Support storage of large solid waste project completion reports and complete monitoring data sets |
Number of recalled entries | Top 8-12 entries | Cover multi-dimensional monitoring, operation and policy data required for solid waste investment research, avoid missing key information due to too few recalled entries |
Similarity threshold | 0.75-0.85 | Distinguish semantic similarity of solid waste-related professional terms, prevent irrelevant data from being recalled |
BACKUP_GRANULARITY | By data type + business category | Adapt to the demand for solid waste data management by business category, meet requirements for flexible export and backup |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing.
Three common errors
- Phenomenon: Concurrent API calls frequently return
429 Too Many Requestsstatus codes. Cause: TheDB_CONNECTION_POOL_SIZEparameter is not adjusted, and the number of database connections is insufficient to support concurrent requests for multi-source data. - Phenomenon: SQL database queries for solid waste monitoring data return empty results. Cause: No type mapping is configured for corresponding pollutant fields, and no association table is linked between point codes and business categories.
- Phenomenon: Exported backups only support knowledge base dimensions and cannot be split by solid waste business categories. Cause: The
BACKUP_GRANULARITYconfiguration is not modified, and the default knowledge base dimension backup policy is used.
How to confirm the configuration is complete
- Initiate more than 10 concurrent API calls, observe that all return status codes are
200 OKto confirm the connection pool configuration takes effect. - Execute an SQL query statement to verify that monitoring data with the
COD_concentrationfield andmg/Lunit is returned correctly. - Trigger a backup task to confirm that generated backup files are stored split by business category.
- Upload a 500 MB solid waste project report, verify that the parsing task completes within
600 secondswithout errors.
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.