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What steps do you take to troubleshoot a slow-running Spark job?

General/Othermedium0.2 min readPremium
Frequency
Low
Asked at 1 company
Category
243
questions in General/Other
Difficulty Split
151E|43M|49H
in this category
Total Bank
1,863
across 7 categories
Asked at these companies
Dunnhumby
Key Concepts Tested
joinpartitionspark
Expert AnswerPremium
43 wordsInterview-ready
(1) Spark UI—slow stages/tasks. (2) Skew—one task long; salting. (3) Shuffle—volume; broadcast joins. (4) Spill—memory; increase or partitions. (5) GC—pause; tune fractions. (6) Code—UDFs, cartesian. (7) Plan—EXPLAIN, predicate pushdown. Order: Profile with representative data; biggest bottleneck first....
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 Dunnhumby. The answer also includes follow-up discussion points that interviewers commonly explore.

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