Deployment and Upgrade of Energy Metal Yield Data

What the data for this category looks like

Data sources for energy metal market and yield data include professional trading venues such as the Shanghai Futures Exchange and London Metal Exchange, plus commodity industry news aggregation platforms. Daily yield daily reports are generated after market close each day. Some real-time market data updates every 5 to 15 minutes. Document structures primarily use structured tables, with fields including product identifier, trading market, opening price, closing price, settlement price, daily yield, open interest, and others. Units vary by trading venue, such as yuan/ton and US dollar/ton. Product identifiers include contract month suffixes, such as "SHFE Copper 2408".

What constraints these characteristics impose on deployment and upgrade

Multi-data source integration requires configuring multi-source data synchronization adaptation rules during deployment. Pre-compatibility with interface formats and return fields from different trading venues is required. The fixed daily update schedule requires scheduled task scheduling to match the closing windows of domestic and overseas markets. Random modification of synchronization intervals during upgrades must be avoided to prevent data update misalignment. Differences in multiple fields and units require configuring field mapping rules during deployment. If the data source field structure is adjusted during upgrades, the mapping configuration must be updated synchronously to avoid data parsing failures. The energy metal category has a wide range of varieties. The knowledge base vector index must support multi-dimensional field retrieval. During upgrades, compatibility with older index structures is required to avoid failure of existing retrieval functions. Time-series market data has high storage requirements. A high-throughput database must be configured in advance during deployment. During upgrades, database version compatibility with existing data formats must be ensured.

How to Set Configurations

The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.

Three Common Mistakes

• After upgrading to version 4.8.20, running the initialization script returns exit code 1. The cause is failure to back up the energy metal market data table in ClickHouse before upgrading. The initialization script overwrites existing configurations.
• Configuring CLICKHOUSE_DATABASE_URL fails to connect to the database, returning the Connection refused error code. The cause is failure to open port 8123 for ClickHouse, or insufficient permissions for the configured username and password.
• Calling SearXNG to search for energy metal industry news returns 0 results, with the backend displaying empty search result. The cause is failure to configure the SearXNG dedicated search site for commodity news. The default search scope cannot cover vertical content.

How to Confirm Successful Configuration

• View the data synchronization task logs, confirm that the last synchronization time is later than the domestic futures market closing time on the same day, and verify that the number of returned fields matches the configured metadata fields.
• Access the ClickHouse query interface, run a basic count query, confirm that the returned record count updates daily with each synchronization.
• Test calling the knowledge base retrieval interface, enter keywords related to energy metals, confirm that the returned results include the configured core fields.
• View the container startup logs, confirm that configuration items such as CLICKHOUSE_DATABASE_URL load successfully, with no undefined error messages.

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.