This repository contains the code and examples for my article on Medium, which explains how to parallelize reading data from JDBC sources in Apache Spark. You can read the full article here:
Spark: Parallelization of Reading Data from JDBC Sources
This article demonstrates how to read data from JDBC sources into Apache Spark, and also covers parallelizing the data extraction process. Key topics covered include:
- Introduction to JDBC in Spark: Learn the basics of reading data from JDBC sources in Spark.
- Parallelizing Data Reads: Step-by-step instructions on how to parallelize data reads from JDBC sources using partitioning techniques.
The code in this repository allows you to follow along with the examples in the article and provides hands-on demonstration of reading data from JDBC sources into Apache Spark jobs.
--jars "path to jar/postgresql-42.5.0.jar" --driver-class-path "path to jar/postgresql-42.5.0.jar"