How does using API tables affect system performance?

API tables are typically used for structuring and caching data that is frequently requested by the system. Their use can positively impact performance through:

• Reducing the number of database queries: data from API tables can be stored in memory or cached, speeding up access.
• Optimizing data processing: structured tables allow for quick filtering and aggregation of information.
• Reducing server load: through caching and pre-processing of data.

However, effectiveness depends on the proper organization of tables, data relevance, and the cache update mechanism. If API tables are rarely updated and used for frequently repeated queries, this significantly improves system performance.