by Team AHT | Oct 2, 2024 | SQL
Partitioning in SQL, HiveQL, and Spark SQL is a technique used to divide large tables into smaller, more manageable pieces or partitions. These partitions are based on a column (or multiple columns) and help improve query performance, especially when dealing with... by Team AHT | Oct 2, 2024 | SAS, SQL
This is how PIVOT and UNPIVOT work in PySpark with Spark SQL using official syntax. 1. PIVOT in Spark SQL The PIVOT operation in Spark SQL allows you to convert rows into columns based on values in a specific column. It helps to summarize and reshape the data in a...