What action should you take to minimize timeout issues when importing data using a complex SQL statement?

Minimizing timeout issues when importing data using a complex SQL statement can often be effectively achieved by dividing the SQL statement into separate data sources. This approach reduces the complexity and workload of a single query, allowing the database to handle smaller, more manageable requests. As a result, the likelihood of encountering timeouts decreases, as each smaller query can execute more quickly and efficiently. By breaking down the data retrieval process, you are streamlining the execution, which can significantly enhance performance, especially with large datasets or intricate logic in the SQL.

Implementing aggregations or groupings could help reduce the volume of data being returned in some cases, but it may not address the underlying issues of query complexity that can lead to timeouts. Similarly, replacing subqueries with nested queries can sometimes optimize performance, yet this technique may not always resolve timeout issues related to extensive processing within a single query. Therefore, dividing the SQL statement into smaller, distinct queries is the most effective solution in this scenario.