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Broadcast Joins and Shuffle Merge Joins?

Spark/Big Datamedium0.5 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
Snowflake
Key Concepts Tested
joinsparksql
Expert AnswerPremium
102 wordsInterview-ready
**Why join strategy matters**: Shuffle is the most expensive operation; choosing wrong strategy 10x+ runtime. **Broadcast join**: Small table sent to all executors; no shuffle for large table. Use when one side < spark.sql.autoBroadcastJoinThreshold (~10MB default). **Shuffle sort-merge**: Both sides shuffled by key, sorted, merged. Default for large joins. **Shuffle hash**: One side hashed in memory; other streamed—faster when build side fits....
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