What the Data for This Category Looks Like
Condiment yield rate and daily market report data for financial and wealth management scenarios is primarily collected from offline supermarket POS data, official operational disclosures from brand owners, and third-party industry monitoring platforms. Data is updated once daily. Same-day data is synchronized by the next morning. Each data document includes fields such as monitored category name, packaging specification, current terminal selling price, previous benchmark price, yield rate change magnitude, data collection channel, and update timestamp. Selling price uses yuan/kilogram or yuan/500 grams as the base unit. Yield rate change magnitude uses percentage change from the previous period as the unit. All fields use text or numeric formats.
What Constraints Do These Characteristics Impose on Deployment and Upgrade?
The daily updated data sources require fixed-frequency scheduled synchronization tasks to be configured during deployment. This prevents data delays or duplicate pulls. Multi-source data collection scenarios require multi-source validation logic to be configured. This ensures consistency across data from different channels. The variety of packaging specification fields requires the parsing process to adapt to different specification matching rules. This avoids category identification deviations. Yield rate calculations depend on historical benchmark data. A reasonable historical data storage period must be configured. This ensures the calculation logic can be traced. Additionally, data documents have a high level of field standardization. Defining field mapping rules in advance during deployment reduces subsequent adaptation costs for parsing.
How to Configure Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Condiment data mostly consists of structured tables, with short parsing times. 300 seconds covers additional time required for multi-source validation |
SYNC_DATA_INTERVAL | 86400 seconds | Matches the daily update rhythm of the data source, prevents data delays or duplicate pulls |
MULTI_SOURCE_VALIDATION_THRESHOLD | 0.85 | Reasonable threshold for multi-source data consistency validation, avoids misjudging normal channel data differences |
FIELD_MAPPING_RULES | Configured using a preset structured field template | Condiment data has a high degree of field standardization, preset templates reduce custom configuration costs |
HISTORY_DATA_STORAGE_DAYS | 30 days | Supports historical benchmark data required for yield rate calculations, while controlling storage resource usage |
UPLOAD_FILE_MAX_SIZE | 100 MB | Reasonable upper limit for batch import of condiment data documents, prevents upload timeouts |
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 individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Issue: After uploading a condiment data document on a local deployment, the parsing node returns an empty result with no clear error log. Cause:
FIELD_MAPPING_RULESis not configured. The system cannot identify the packaging specification fields unique to condiments, leading to valid data being skipped. - Issue: A dependency conflict error occurs when building the deployment image, with error code
E4001. Cause: No adapted dependency package version for structured table parsing is specified. This causes the field extraction module for condiment data to fail to load. - Issue: After a scheduled synchronization task runs, the yield rate calculation result is empty. The
yield_ratefield showsnull. Cause:HISTORY_DATA_STORAGE_DAYSis not configured. The system cannot obtain historical benchmark data to complete the yield rate calculation logic.
How to Confirm Proper Configuration
- Manually upload a test condiment data document. Verify that the parsed fields include preset content such as category name and packaging specification.
- View the execution logs of the scheduled synchronization task. Confirm that the daily early morning synchronization action triggers normally, with no timeout or failure records.
- Run a yield rate calculation task. Verify that the
yield_ratefield generates valid values, with no null values or abnormal markers. - Check the logs of the multi-source validation module. Confirm that condiment data from different channels is matched normally, with no large number of validation failure records.
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.