Simplifying Real-time Data Processing with Spark Streaming’s foreachBatch with working code

Canadian Data Guy
5 min readJun 7, 2023

Comprehensive guide to implementing a fully operational Streaming Pipeline that can be tailored to your specific needs. In this working example, you will learn how to parameterize the ForEachBatch function.


· Spark Streaming & foreachBatch
Introducing foreachBatch:
The Power of foreachBatch:
Implementing foreachBatch:
Benefits of foreachBatch:
· Code & Setup
Define parameters for the job
Create a Streaming source
Define custom processing logic and parameters
Create an instance of forEachBatchProcessor Class with the parameters
Orchestrate the job
Look at the output table
Clean Up
· Conclusion:
· Footnote:
Download the code

Photo by Andrew Schultz on Unsplash

Spark Streaming & foreachBatch

Spark Streaming is a powerful tool for processing streaming data. It allows you to process data as it arrives, without…



Canadian Data Guy | Data Engineering & Streaming @ Databricks | Ex Amazon/AWS | All Opinions Are My Own