A supplier landing directory has accumulated more than 40,000 small CSV files over two years of daily deliveries. The nightly COPY INTO run keeps getting slower: most of its time now goes into discovering which files in the path are new and which were already loaded. Total daily volume is modest. What should the team conclude about this slowdown?
Reveal answer
Correct answer: Scale mismatch: COPY INTO suits small to medium sets of files, while Auto Loader is built for this scale, handling millions of files efficiently
Reference: https://docs.databricks.com/aws/en/ingestion/copy-into
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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): Scale mismatch: COPY INTO suits small to medium sets of files, while Auto Loader is built for this scale, handling millions of files efficiently
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