Скачать или смотреть PySpark sample program read Oracle table/Write CSV

This video demonstrates how to use PySpark to read data from an Oracle database and write it to a CSV file.

Here's a summary:

Environment Setup: It outlines the necessary environment, including Apache Spark, PySpark, Oracle database (with JDBC driver), and Java JDK. (1:41-2:36)

Program Flow:

Connects to the Oracle database using JDBC. (0:35-0:41)
Reads data from the "HR department" table. (0:48-0:55)
Converts the data into a PySpark DataFrame. (0:55-1:00)
Writes the DataFrame to a CSV file, with options for overwrite mode, header inclusion, and path specification. (4:40-5:32)
Handles exceptions at each step to manage potential errors. (1:06-1:38)

Demonstration:

Executes the program and displays a sample of the retrieved data in the console. (5:49-6:25)
Verifies the creation of the CSV file and its contents. (6:26-7:29)
The video offers a hands-on tutorial on utilizing PySpark for extracting and transforming data between Oracle and CSV formats.