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Have you worked with data compaction in Delta Lake?

Spark/Big Datahard0.4 min readPremium
Frequency
Low
Asked at 1 company
Category
452
questions in Spark/Big Data
Difficulty Split
88E|81M|283H
in this category
Total Bank
1,863
across 7 categories
Asked at these companies
Meesho
Key Concepts Tested
optimizationpartition
Expert AnswerPremium
83 wordsInterview-ready
**Why it matters**: At scale, design choices directly impact reliability, latency, and cost. Wrong decisions compound across jobs and teams. Delta compaction: OPTIMIZE consolidates small files into larger ones; improves read performance. Run: OPTIMIZE table_name or OPTIMIZE table_name ZORDER BY (col). Auto-compaction: enable delta.autoOptimize.optimizeWrite and delta.autoOptimize.autoCompact....
The complete answer continues with detailed implementation patterns, architectural trade-offs, and production-grade considerations. It covers performance optimization strategies, common pitfalls to avoid, and real-world examples from companies like Meesho. The answer also includes follow-up discussion points that interviewers commonly explore.

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