A large retail company's data analyst investigates a persistent query that runs long on a massive table. The analyst wants to see each step in the process to identify potential issues. Which method should be used?
Enable a function that breaks down date computations across multiple columns
Turn on advanced triggers that capture user events at the application level
Create an index for every numeric column in the table
Use a plan that outlines each operation the database uses to return the results
Examining the plan that outlines the database's operations shows where the query might be slow, whether it's due to suboptimal joins or missing indexes. Breaking down date computations, using triggers, or adding indexes to every column do not reveal the full path of how the query engine processes each step.
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What is a query execution plan?
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Why are missing indexes significant in a query execution plan?
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What other methods can I use to optimize query performance besides execution plans?