**Broadcast**: df_large.join(broadcast(df_small), 'key'). Small table sent to all executors; no shuffle on large. **Threshold**: spark.sql.autoBroadcastJoinThreshold (default 10MB). **When**: Small table < threshold. **Hint**: broadcast() forces even if over threshold (use carefully). **Moderate size**: Repartition large on join key....
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