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Article: From Batch to Micro-Batch Streaming: Lessons Learned the Hard Way in a Delta Index Pipeline
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In "From Batch to Micro-Batch Streaming: Lessons Learned the Hard Way in a Delta Index Pipeline," Parveen Saini shares valuable insights from the migration of a production delta-index pipeline to micro-batch Spark Structured Streaming. This article explores key decisions, including the rejection of record-level streaming and the adoption of partition-based watermarks to enhance reliability. Saini also discusses the importance of overlap-window correctness and implementing restart-as-design strategies, offering a roadmap for improved predictability in object-store-based ingestion systems.
This article describes how a production delta-index pipeline migrated from scheduled batch to micro-batch Spark Structured Streaming. It covers why record-level streaming was rejected, how partition-based watermarks replaced fragile S3 completion markers, overlap-window correctness, and restart-as-design strategies for better predictability in object-store–based ingestion systems.
By Parveen SainiRead on the original site
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