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Which Spark property controls the number of shuffle partitions?

Spark/Big Datamedium0.3 min readPremium
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joinpartitionsparksql
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**Property**: `spark.sql.shuffle.partitions`. Default 200. Controls output partitions after shuffle (groupBy, join). **Set**: `spark.conf.set("spark.sql.shuffle.partitions", 400)` or `--conf spark.sql.shuffle.partitions=400`. **Tuning**: 2–4x core count for small data. For large data, higher (e.g., 400–800). Too low = large partitions, spill. Too high = overhead. **AQE**: Can coalesce at runtime. Set initial high; AQE reduces. **Cost Implications**: Right count = balanced tasks....
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