**Purpose**: Removes files older than retention (default 7 days) that are no longer in current table state. Reclaims storage. **Why**: Delta keeps all file versions for time travel. Old files accumulate. VACUUM deletes reclaimable files. **Trade-off**: Removes time-travel...
This easy-level Spark/Big Data question appears frequently in data engineering interviews at companies like Puma. While less common, it tests deeper understanding that distinguishes strong candidates.
Start by clearly defining the core concept being asked about. Interviewers want to see that you understand the fundamentals before diving into implementation details. Structure your answer with a definition, then explain the practical application with a concise example.
Purpose: Removes files older than retention (default 7 days) that are no longer in current table state. Reclaims storage.
Why: Delta keeps all file versions for time travel. Old files accumulate. VACUUM deletes reclaimable files.
Trade-off: Removes time-travel capability beyond retention. Ensure no active time-travel queries.
Syntax: VACUUM table_name or VACUUM table_name RETAIN 168 HOURS.
Scalability Trade-offs: Expensive on huge tables; run during maintenance.
Cost Implications: Un-vacuumed = 2β5x storage. Schedule weekly.
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Analyze My Answer β FreeAccording to DataEngPrep.tech, this is one of the most frequently asked Spark/Big Data interview questions, reported at 1 company. DataEngPrep.tech maintains a curated database of 1,863+ real data engineering interview questions across 7 categories, verified by industry professionals.