Nota
L-aċċess għal din il-paġna jeħtieġ l-awtorizzazzjoni. Tista’ tipprova tidħol jew tibdel id-direttorji.
L-aċċess għal din il-paġna jeħtieġ l-awtorizzazzjoni. Tista’ tipprova tibdel id-direttorji.
This article shows you how to read data from Apache Parquet files using Azure Databricks.
What is Parquet?
Apache Parquet is a columnar file format with optimizations that speed up queries. It's a more efficient file format than CSV or JSON.
For more information, see Parquet Files.
Options
Use the .option() and .options() methods of DataFrameReader and DataFrameWriter to configure Parquet data sources. For a complete list of supported options, see DataFrameReader Parquet options and DataFrameWriter Parquet options.
Notebook example: Read and write to Parquet files
The following notebook shows how to read and write data to Parquet files.