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Finding Expensive Redshift Queries

Eduardo Pivaral searches for expensive queries:

Slow-running queries can degrade your Redshift cluster’s performance and lead to increased costs. Identifying the most expensive queries is crucial to optimize resource usage and improve overall system efficiency.

My immediate answer was “all of them,” though in fairness, I’ve primarily needed to deal with situations in which people set up Redshift without using Kimball-style modeling and queried with (essentially) SELECT *.

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