How can we evenly distribute dataset partitions across all CPU cores before performing CPU-intensive operations?
repartition(n) triggers a full hash shuffle to balance data volume equally into n target partitions.
Eliminating partition skew and maximizing cluster CPU utilization before training models or running complex regex.
df_balanced = df.repartition(200)Practice typing production-grade PySpark code for Dynamic Partition Sizing with repartition().