**Without VACUUM**: (1) Old files accumulate—storage grows unbounded. (2) Time travel retains references; VACUUM removes files older than retention (default 7 days). (3) Many small files = slow metadata and reads. (4) File count limits in some systems. **Why Run It**: Reclaim...
This easy-level Spark/Big Data question appears frequently in data engineering interviews at companies like PWC. 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.
Without VACUUM: (1) Old files accumulate—storage grows unbounded. (2) Time travel retains references; VACUUM removes files older than retention (default 7 days). (3) Many small files = slow metadata and reads. (4) File count limits in some systems.
Why Run It: Reclaim storage; improve read performance; control file count.
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Analyze My Answer — 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.