saveAsParquetFile
saveAsParquetFile is a method commonly found in data processing frameworks like Apache Spark. It is used to write data, typically stored in a DataFrame or RDD, to a file or directory in the Parquet file format. Parquet is a columnar storage file format that is highly efficient for big data analytics. Its columnar nature means that data is organized by columns rather than rows, allowing for faster query performance, especially when only a subset of columns is needed.
When using saveAsParquetFile, users specify the path to the desired output location. The framework then serializes
The Parquet format offers schema evolution capabilities, meaning that the schema of the data can change over