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Answer: Analyze the query execution plan to identify bottlenecks and optimize the query based on the findings.
While adding indexes (A) and increasing hardware resources (D) can improve performance, they may not be the most effective solutions for optimizing a complex query. Rewriting the query (B) can be helpful, but it may not always be feasible or result in the best performance. The best approach is to analyze the query execution plan (C) to identify the specific bottlenecks and optimize the query accordingly. This can involve rewriting parts of the query, adding appropriate indexes, or using different join strategies.
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In the context of a data engineering project, you are tasked with optimizing a complex SQL query that is causing performance issues. The query involves multiple joins and subqueries, and it is executed against a large dataset. What steps would you take to optimize the query and improve its performance?
A
Add more indexes to the tables involved in the query.
B
Rewrite the query to use fewer joins and subqueries.
C
Analyze the query execution plan to identify bottlenecks and optimize the query based on the findings.
D
Increase the hardware resources allocated to the database server.