PySpark - Read All CSV file from nested Directory Subdirectory скачать в хорошем качестве

PySpark - Read All CSV file from nested Directory Subdirectory

In this tutorial, you are going to learn "How to read all CSV file from nested Directory Subdirectory" by using PySpark If you are working as a PySpark developer, data scientist or data analytics and many times we need to load data from a nested data directory. These nested data directories typically created when there is an ETL job which keep on putting data from different dates in different folder. You would like to read these CSV files into spark dataframe for further analysis. In this is article, I am going to talk about data loading from nested folders. Now, you can see this is very easy task to read all files from the nested folders or sub-directories in PySpark. To learn more, please follow us - http://www.sql-datatools.com To Learn more, please visit our YouTube channel at —    / sql-datatools   To Learn more, please visit our Instagram account at -   / asp.mukesh   To Learn more, please visit our twitter account at -   / macxima