spark.sql.shuffle.partitions
In the context of Apache Spark’s SQL module, the configuration parameter “spark.sql.shuffle.partitions” determines the number of partitions used when performing shuffles during query execution. Shuffling is the process of redistributing data across partitions, usually occurring after transformations that require data to be reorganized, such as “group by” or “join” operations. By setting the value of …