causes-and-solutions-for-data-source-read-timeout

DataV requires high-frequency, real-time data queries for dynamic data display. If your data source access frequently times out, optimize your overall data architecture. This topic describes common causes of data source read timeouts in DataV and how to resolve them.

The number of business data tables queried by using SQL is too large, and the query times out.

Add indexes to the fields used in query conditions to reduce the number of scanned rows.
Add scheduled tasks to the database to pre-calculate business metrics and update a result table. DataV components then query the result table directly, eliminating repeated SQL queries each time a component fetches data.

API interface internal service call link is long, query timeout

Implement caching for your API services to store frequently accessed data and reduce the time spent on repeated data reads.
Optimize the call chain by parallelizing independent processes to reduce overall response time.
Introduce a data intermediate layer to reuse shared segments of multiple API call chains and reduce system overhead.

In general, data source read timeouts in DataV indicate that the underlying query is too complex or slow. Design your optimization strategy based on the technical characteristics of the query, business data relationships, and the frameworks in use.