Table Handling in PySpark: Understanding saveAsTable and insertInto

Data processing and storage in PySpark is often managed through functions such as saveAsTable and insertInto. However, the application of these two functions differs significantly. This article seeks to demystify saveAsTable and insertInto, breaking down their differences, behaviors under different scenarios, and their associated best practices.