A Databricks SQL query that joins two gold tables and aggregates them takes minutes every night. The engineer wants a visual diagnosis: which operators dominate the elapsed time, how many rows each step produces, and whether a full table scan or an exploding join is to blame. How can the engineer get this analysis?
Reveal answer
Correct answer: Open the query profile from query history: it shows the operator DAG with time, rows, and memory
Reference: https://docs.databricks.com/aws/en/sql/user/queries/query-profile
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02 — The Myelin Layer · Canonical Discussion
Where the exam tries to trick you — and how those who passed solved it.
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Official Answer (C): Open the query profile from query history: it shows the operator DAG with time, rows, and memory
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