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PySpark Repartition() vs Coalesce()

Post author:NNK
Post category:PySpark

Let's see the difference between PySpark repartition() vs coalesce(), repartition() is used to increase or decrease the RDD/DataFrame partitions whereas the PySpark coalesce() is used to only decrease the number of partitions in an efficient way. In this article, you will learn what is PySpark repartition() and coalesce() methods? and…

Spark Repartition() vs Coalesce()

Post author:NNK
Post category:Apache Spark Apache Spark RDD

Spark repartition() vs coalesce() - repartition() is used to increase or decrease the RDD, DataFrame, Dataset partitions whereas the coalesce() is used to only decrease the number of partitions in an efficient way. In this article, you will learn what is Spark repartition() and coalesce() methods? and the difference between…