Reading and Writing Deeply Partitioned Files in Apache Spark

Deeply partitioned directories are common in data lakes where data is organised hierarchically by time. A deeply partitioned structure enables Apache Spark to efficiently prune irrelevant partitions, resulting in faster queries and improved performance.