What Data for This Category Looks Like
Industrial metal market data primarily comes from publicly traded data from the Shanghai Futures Exchange and London Metal Exchange, plus daily quotation data from domestic spot industry associations. Update cadence falls into two categories: futures market data updates in real time during trading hours, while spot quotations typically release full daily data after 17:00 each day. Each data entry is organized by commodity variety, and includes fields such as variety code, trading market, latest transaction price, settlement price, daily trading volume, and open interest. Units for price-related fields are yuan per metric ton, trading volume is measured in metric tons, and open interest is measured in lots.
Constraints for Database and Operations Workflows
The mixed real-time and batch update rhythm requires the database to support both high-frequency real-time writing and scheduled batch synchronization modes, and cannot rely on only a single writing configuration. The structure of multiple varieties and multiple data sources requires the database to support storage via partitioning or sharding by variety, to avoid reduced query performance caused by excessively large single-table data volume. Differences in update frequencies across data sources require independent update task scheduling rules be configured for each channel, to prevent resource conflicts. The need to access cross-market data requires the database connection module to support multi-data source management, and adapt to market data interfaces using different protocols.
Configuration Recommendations
| Configuration Key | Recommended Value | Rationale |
|---|---|---|
DB_CONNECTION_POOL_SIZE | 10–20 connections | Meets the concurrent read/write requirements of industrial metal market data, balances server resource usage and response speed |
DB_BATCH_WRITE_SIZE | 500–1000 records | Matches the data volume scale of spot batch updates, avoids exceeding the database's carrying limit with a single write operation |
DATA_UPDATE_INTERVAL | Futures set to real-time, spot set to 86400 seconds | Aligns with the actual update rhythms of the two data source types, reduces invalid requests and resource waste |
DB_TABLE_PARTITION_POLICY | Partition by variety code and month | Industrial metal varieties are fixed, and data volume grows over time. Partitioning improves query and maintenance efficiency |
MULTI_DATASOURCE_ENABLE | Enabled | Requires simultaneous access to both futures and spot data sources to achieve data integration |
DB_CONNECTION_TIMEOUT | 30 seconds | Adapts to network latency across cross-market data sources, prevents connection interruptions caused by network fluctuations |
The parameter values provided on this page are standard recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Each scenario requires specific analysis, and values should be evaluated against samples specific to the deployment before finalizing.
Three Common Misconfiguration Issues
- The error
Connection refusedorSSL validation failedis thrown when connecting to MongoDB. This occurs because the Linux system does not have the official MongoDB SSL dependency library installed, or the database access port and whitelist are not properly configured in the configuration file. - The Oracle option is missing from the database type selection list. This occurs because the currently integrated database driver does not include the Oracle client dependency. The corresponding driver package must be manually imported, and connection parameters must be configured.
- Querying application configuration returns an empty value. This occurs because application metadata is mistakenly stored in the market data business database instead of a dedicated metadata database, leading to configuration read failures.
How to Verify Proper Configuration
- The built-in database connectivity test tool can be run to verify that all configured market data sources can establish normal connections, with no connection timeout or permission denied errors.
- A spot data synchronization task can be manually triggered to check that industrial metal data written to the database has complete fields, with units consistent with preset rules.
- The database monitoring panel can be reviewed to confirm that connection pool usage remains within a stable range, with no abnormal frequent creation and destruction of connections.
- A scheduled update task can be configured to verify that futures market data updates automatically during trading hours, and spot data completes full synchronization at the specified daily time.
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.