Introducing Structured Streaming
Structured Streaming is a revolutionary addition to Apache Spark that brings a new paradigm for real-time data processing. It introduces a high-level API that seamlessly integrates batch and streaming processing, providing a unified programming model. Structured Streaming treats streaming data as an unbounded table or DataFrame, enabling developers to express complex computations using familiar SQL-like queries and transformations.
Unlike the micro-batch processing model of Spark Streaming, Structured Streaming follows a continuous processing model. It processes data incrementally as it arrives, providing low-latency and near-real-time results. This shift toward continuous processing opens up new possibilities for interactive analytics, dynamic visualizations, and real-time decision-making.
Key features and advantages
Structured Streaming offers several key features and advantages over traditional stream processing frameworks:
- An expressive...
