What data for this category looks like
Data related to ordnance equipment yield rates and market trends comes from public trading data of listed defense industry enterprises, daily equipment procurement updates released by the National Defense Science, Technology and Industry Administration, and real-time transaction information from the defense industry supply chain. Updates run once daily, covering full daily market data and yield-related data from the previous trading day. Each document corresponds to the daily market data of a single ordnance equipment-related entity, stored in a structured format. Fields include:
- Equipment-related entity identifier
- Market release date
- Transaction average price (unit: yuan/share)
- Turnover rate (unit: proportional value, range 0 to 1)
- Revenue contribution ratio (unit: proportional value, range 0 to 1)
All data must pass format validation from the source before being integrated, to avoid issues caused by messy raw data formats.
What constraints do these characteristics impose on database and operations
Multi-source data access creates format heterogeneity issues. Unified format mapping rules must be configured before data is imported into the database. Daily full updates generate fixed-cycle bulk write requests. Database connection pool and bulk write parameters must be adjusted to accommodate concurrency requirements. The combination of equipment-related entity identifier and market release date is the unique business identifier. A combined primary key constraint must be established at the database level to prevent duplicate data entries. Proportional fields must have numerical range validation configured. This prevents invalid values from being written and disrupting subsequent analysis. The data update cycle is daily. The backup strategy must adapt to daily incremental backups combined with weekly full snapshots, to enable rapid recovery if an update fails.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
batch_insert_size | 500–1000 records/batch | Adapts to the bulk write requirements of daily full updates, balances write efficiency and database load |
primary_key_constraint | Equipment-related entity identifier + market release date | Matches the unique business identifier rule, prevents duplicate data entries for the same entity on the same date |
field_value_range_check | Enabled, proportional value range 0–1 | Validates the legality of proportional fields such as turnover rate and revenue contribution ratio, prevents invalid data from being imported into the database |
connection_pool_max_size | 20–30 | Adapts to concurrent write requests from daily full updates, balances resource usage and service stability |
backup_strategy | Daily incremental backup + weekly full snapshot backup | Matches the data characteristics of daily updates, balances storage costs and recovery efficiency |
data_cleaning_rule | Standardize field formats by source | Resolves format heterogeneity issues across multi-source data, unifies the imported data structure |
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 case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Symptom: Unable to log in after a database version upgrade, with a
503 Service Unavailablestatus code returned. Cause: Existing connection parameters were not retained when modifying the database configuration file, preventing the service from establishing normal connections. - Symptom: A
SQL0101error occurs when bulk writing that day's data, with some fields not correctly mapped. Cause: Format standardization rules for multi-source data were not configured, leading to differences in field naming across sources, with some fields failing to complete mapping and import. - Symptom: Data backup task execution fails, with a prompt indicating insufficient storage space. Cause: Storage capacity was not configured to meet the requirements of daily incremental backups, and only the default full backup storage path was used, which cannot accommodate daily incremental data.
How to confirm the configuration is complete
- Run a bulk write test, import that day's source data, verify that the number of imported records matches the source data volume, and check that there are no duplicate entries.
- Review the database constraint configuration, confirm that the combined primary key matches the business fields, and that the range validation rules for proportional fields are enabled.
- Trigger a database version upgrade test, verify that the service can start normally and complete login operations after the upgrade.
- Run a manual backup task, confirm that backup files are generated normally, and that the storage path meets the configuration requirements.
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.