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Describe building custom JARs for Spark jobs

Spark/Big Dataeasy0.3 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
LTIMindtree
Key Concepts Tested
spark
Expert AnswerPremium
60 wordsInterview-ready
**Why custom JARs**: Encapsulate dependencies; ensure version consistency. **Process**: Use sbt or Maven; package Spark + app code. Use `--packages` for Maven deps to avoid fat JAR. Submit via `spark-submit`. **Scalability trade-offs**: Shade conflicting deps; large JAR = slower distribute. **Cost implications**: Build time; deployment size....
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