Database and Operations for Minor Metal Yield Data

Minor metal market data comes from domestic professional monitoring institutions for the non-ferrous metals industry. Daily data aggregation is

What this category’s data looks like

Minor metal market data comes from domestic professional monitoring institutions for the non-ferrous metals industry. Daily data aggregation is completed each day after market close, with an update frequency of once per day. Each record corresponds to one minor metal variety, and includes fields including variety code, variety name, daily settlement price, daily trading volume, daily position volume, and previous day's settlement price. The unit for settlement price is yuan per ton, trading volume is measured in tons, and position volume is measured in trading lots. The data covers dozens of common minor metal varieties, has a unified and standardized overall structure, and contains no additional non-standardized fields.

What constraints do these characteristics impose on database and operations work

Daily batch writing requires the database to support efficient batch insert operations. This avoids performance losses from single-record writes. Only one record per variety is needed each day. Configure a unique constraint to prevent duplicate data from being stored. Data timeliness requires setting up scheduled verification tasks. Trigger alerts for variety data that has not been updated for more than 24 hours. There are a large number of minor metal varieties. Queries that retrieve by variety are frequent. Create an index for the variety code field to improve query efficiency. The data source interface has call rate limits. Properly configure the concurrent connection count of the database connection pool. This avoids triggering rate limits and causing data synchronization failures.

How to set configurations

Configuration ItemRecommended ValueRationale
maxPoolSize10–15Matches the concurrent volume of daily batch writes for minor metals, avoids excessive connections that exceed database load
DATA_SYNC_CRON0 18 * * *Aligns with the timing of minor metal market data aggregation after market close, ensures the synchronization task can obtain the latest data when starting
DUPLICATE_CHECK_ENABLEtrueOnly one record per variety is needed each day, enabling this configuration prevents duplicate data from being stored
INDEX_CREATE_ON_STARTUPtrueAn index must be created for the variety code field to improve query efficiency when retrieving by variety
DATA_VALIDATION_TIMEOUT300 secondsMinor metal data source interface response time is typically within 3 minutes, mark data as abnormal if timeout occurs
ALERT_THRESHOLD_HOURS24Data must be updated once per day, trigger an alert if updates are not received within this time period

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 targeted analysis, and testing on local samples is recommended before finalizing settings.

Three common errors

  • When querying minor metal market data using a database tool, a 400 status code (no body) is returned. This occurs because database connection request header parameters are not properly configured, causing interface verification to fail.
  • Running pnpm dev in a local development environment shows a MongoDB connection timeout. This occurs because the listening address of the local MongoDB instance is not configured as 0.0.0.0, or a firewall restricts access to the default port 27017.
  • Duplicate daily market records for minor metals appear in the database. This occurs because the DUPLICATE_CHECK_ENABLE configuration is not enabled, and no verification is performed for unique daily records per variety.

How to confirm configurations are properly set

  • Run a database connection test script to verify that the number of connections corresponding to the configured maxPoolSize parameter meets business concurrency requirements.
  • Manually trigger a data synchronization task, check that expected daily market records are generated with no duplicate entries.
  • View system alert logs to confirm that unupdated data exceeding the set threshold triggers corresponding alerts.
  • Perform a query operation by variety code to verify that the index configuration is active and query latency meets business 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.