What the data for this category looks like
Data related to refractory material yield rates comes from three sources: the raw material and finished product quotation database of the domestic refractory material industry association, production enterprise MES system logs, and raw material market data from commodity spot trading platforms. Update frequencies vary: raw material spot quotes are updated daily, finished product ex-factory settlement prices are updated weekly, and single-batch production energy consumption data is uploaded upon production completion. Each data record includes six core fields: batch number, raw material type, raw material purchase unit price, unit energy consumption cost, finished product ex-factory settlement price, and accounting cycle. Unit specifications: raw material unit price is measured in yuan/ton, energy consumption cost is measured in yuan/ton of finished product, ex-factory settlement price is measured in yuan/ton of finished product, and accounting cycle uses natural weeks or natural months as units.
What constraints do these characteristics impose on the "database and operations" link?
Different update frequencies across data sources require a layered synchronization mechanism. This avoids excessive server resource usage from high-frequency raw material data syncs, while ensuring low-frequency ex-factory price data is stored in a timely manner. Single data records associate fields from multiple independent sources. A global primary key based on batch number must be established. Without this, accurate cross-source yield rate accounting cannot be completed. Daily and weekly bulk data updates create write peaks. Reasonable bulk write thresholds must be configured to avoid data loss from single-write timeouts. Data formats vary across sources: some platforms use Chinese raw material names, others use national standard codes. Unified mapping rules must be configured in advance. Without this, field mismatch issues will occur. Data volume grows with production batches. Historical accounting data must be archived regularly to avoid excessive storage resource consumption.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
batch_write_threshold | 500 records/time | The peak bulk upload volume of single-batch production data for refractory materials is approximately 400 records/hour. A threshold of 500 records avoids single-write timeouts |
data_clean_rule_timeout | 120 seconds | Multi-source data format conversion requires steps such as processing raw material codes and unit alignment. 120 seconds covers most cleaning scenarios |
index_rebuild_interval | 7 days | The associated fields of refractory material yield rate data increase by approximately 10% weekly. Rebuilding indexes every 7 days balances query efficiency and maintenance costs |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | A single refractory material market daily report document contains approximately 2000 records. 600 seconds completes full parsing and storage |
Recall count | Top 10 entries | Refractory material market daily reports need to cover major raw material and finished product categories. 10 recall results meet the information density requirements of daily reports |
Similarity threshold | 0.75 | Differentiating between similar types and different batches of refractory material data requires a threshold of 0.75. This avoids redundant recall while covering valid associated data |
The parameter values given on this page are all common starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis. It is recommended to test against your own samples before finalizing settings.
Three common errors
- Phenomenon: Null associated fields for raw material unit price and ex-factory price appear after multi-source synchronization. Cause: No primary key matching rule for multi-source data is configured, so batch numbers from different sources cannot be aligned, and associated accounting cannot be completed.
- Phenomenon: Single query takes more than 30 seconds after enabling mixed retrieval problem optimization and result reranking. Cause: The
Recall countsetting exceeds the coverage required by business needs, and the number of reranked returned entries is not limited, causing parsing and retrieval link blockage. - Phenomenon: Unable to create a yield rate database instance after local deployment. Cause: No database storage path permissions are configured in advance, or the associated index table of the database is not initialized, causing write requests to be rejected.
How to confirm the configuration is complete
- Run a multi-source data synchronization task, check the synchronization logs for format conversion failure errors, and confirm that the
data_clean_rule_timeoutvalue covers the actual time consumption of the current cleaning process. - Initiate a refractory material yield rate query request, check the field integrity and information density of the returned results, and confirm that the
Recall countandSimilarity thresholdvalues meet the current market daily report broadcasting requirements. - Check the database index status, confirm that the
index_rebuild_intervalconfiguration has triggered index maintenance as scheduled, and that query delay meets business requirements. - Check the local deployment database service logs, confirm there are no permission errors or initialization failure prompts, and verify that the database instance creation process is normal.
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.