Using S3 Select also allows you to easily update the content In this Spark article, you will learn how to read a JSON file into DataFrame and convert or save DataFrame to CSV, Avro and Parquet file formats using Scala examples Spark - Read parquet files from multiple locations efficiently printSchema() If you want to read more on Parquet, I. You can open Synapse Studio for Azure Synapse Analytics and create new Apache Spark notebook where you can convert this folder with parquet file to a folder with Delta format using the following PySpark code. . .
While PyTorch gives a proper level of customisation, writing a high-efficiency data loader is not easy It was a matter of creating a regular table, map it to the CSV data and finally move the data from the regular table to the Parquet table using the Insert Overwrite syntax The multiple files allow the write to execute more quickly for large. . It only needs to scan just one-fourth of the data. 8.