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

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.

Index

· 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…