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What is the difference between Managed and External tables in Hive/Spark?

Spark/Big Dataeasy0.4 min read

Managed: Spark/Hive owns metadata and data. DROP TABLE deletes both. External: Metadata only; data lives in specified location. DROP TABLE drops metadata; data remains. Why External: Shared data across tools (Athena, Glue, Spark); production datasets where accidental DROP would...

🤖 Analyze Your Answer
Frequency
Low
Asked at 3 companies
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
CitiDunnhumbyFragma Data Systems
Interview Pro Tip

Red Flag: Only defining the difference without discussing data ownership or drop behavior. Pro-Move: 'All prod tables are External; we had an incident where Managed DROP cascaded to S3—now we never use Managed for shared data'—demonstrates operational lessons.

Key Concepts Tested
spark

Why This Question Matters

This easy-level Spark/Big Data question appears frequently in data engineering interviews at companies like Citi, Dunnhumby, Fragma Data Systems. While less common, it tests deeper understanding that distinguishes strong candidates. Mastering the underlying concepts (spark) will help you answer variations of this question confidently.

How to Approach This

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.

Expert Answer
83 words

Managed: Spark/Hive owns metadata and data. DROP TABLE deletes both. External: Metadata only; data lives in specified location. DROP TABLE drops metadata; data remains. Why External: Shared data across tools (Athena, Glue, Spark); production datasets where accidental DROP would be catastrophic; data lifecycle independent of table. Why Managed: Ephemeral tables, temp outputs; simpler—no orphan paths. Cost: Managed DROP can trigger expensive recursive deletes on object store. External DROP is cheap. Best practice: External for production; Managed for staging. Document ownership of underlying paths.

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