Pyspark - Create an empty Dataframe and RDD

Date: 2024-04-02

This article demonstrates how to create empty DataFrames and RDDs in PySpark. DataFrames offer a high-level, table-like structure for structured data, while RDDs provide a lower-level, more flexible approach for both structured and unstructured data. The article provides code examples showing the creation of both empty DataFrames and RDDs using PySpark's capabilities. Understanding both is key to efficient large-scale data processing in PySpark. Read more: https://www.javacodegeeks.com/2024/04/pyspark-create-empty-dataframe-and-rdd.html