What this category of data looks like
Agrochemical product investment research data mainly comes from public industry association reports, public information published on pesticide registration management platforms, public financial reports of active ingredient manufacturers, and quotation data from bulk commodity trading markets. The update rhythm varies significantly: active ingredient prices and market supply and demand data are updated daily; production capacity and capacity utilization data are updated quarterly; industry policies and patent information are updated in real time as released. Data forms include structured quotation tables, semi-structured registration and filing documents, and unstructured industry research reports and policy documents. Core fields include active ingredient content (unit: %, g/L), registration certificate number, production capacity (unit: tons/year), product quotation (unit: yuan/kg), and patent application number.
What These Characteristics Mean for Database and Operations Workflows
Multi-source, multi-update-frequency data requires splitting storage by data update frequency. This avoids excessive operational resource usage from full synchronization and reduces scan ranges during queries. Fixed fields and unit requirements for structured data require configuring field validation rules at the database level. This prevents deviations in investment research results caused by inconsistent units or abnormal values. Mixed storage of semi-structured and unstructured data requires the database to support both structured queries and full-text retrieval. This adapts to call needs for different types of investment research data. Real-time updated quotation and policy data require configuring incremental synchronization tasks. This reduces operational costs and time consumption of full synchronization.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
DB_INCREMENT_SYNC_INTERVAL | 300 seconds | Adapts to daily-updated agrochemical quotation data, balances synchronization delay and resource usage |
FIELD_VALIDATION_ENABLE | Enabled | Validates unit and numerical rationality of agrochemical data, prevents invalid data from being stored |
TEXT_SEGMENT_LENGTH | 800–1200 characters | Adapts to paragraph lengths of agrochemical research reports, ensures semantic completeness |
RECALL_TOP_K | Top 8 entries | Agrochemical data is highly specialized; increasing recalled entries covers more detailed dimensions |
DB_CONNECTION_TIMEOUT | 60 seconds | Adapts to connection verification for multi-source databases, prevents synchronization tasks from timing out |
PARSE_DOC_UNIT_AWARE | Enabled | Automatically identifies content and capacity units in agrochemical data, avoids unit confusion |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material forms, data volume and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Phenomenon: Chinese garbled characters appear for agrochemical product names and policy content stored in databases, displayed as garbled characters or question marks on pages. Cause: The database connection character set is not configured to
utf8mb4, only using theutf8character set, which cannot support full character storage for some rare pesticide names. - Phenomenon: Generated investment research SQL statements cannot be executed due to full-width punctuation, returning empty query results. Cause: No half-width punctuation conversion is applied to generated SQL statements, and full-width punctuation breaks SQL syntax parsing logic.
- Phenomenon: Database connection fails, unable to load agrochemical industry data. Cause: Connection parameter configuration for domestic alternative databases is not completed, or database access port permissions are not opened.
How to Confirm Configuration Is Complete
- Execute a query containing Chinese names of agrochemical products, confirm returned results have no garbled characters, and field units match entered values.
- Submit a test SQL statement containing full-width punctuation, confirm the system automatically converts it to half-width punctuation and executes normally.
- View database synchronization task logs, confirm incremental synchronization tasks execute normally at the preset interval, with no frequent timeout errors.
- Call the knowledge base recall interface, confirm the number of returned agrochemical data entries matches the configured recall parameters.
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.