Real-Time Mode: Ultra-low latency streaming on Spark APIs without a second engine

Apache Spark introduces Real-Time Mode (RTM) for Structured Streaming, enabling sub-second latency without requiring a second engine like Apache Flink.

• •RTM uses three core innovations: continuous data flow, pipeline scheduling, and streaming shuffle to achieve millisecond-level event processing
• •Benchmarks show Spark RTM delivers latency up to 92% faster than Apache Flink on feature computation workloads including stateless transforms, stream-table joins, and GroupBy aggregations
• •Teams can switch between batch and ultra-low-latency streaming with a single-line code change using .trigger(RealTimeTrigger.apply())
• •RTM eliminates "logic drift" by allowing the same Spark API for both ML model training and live inference, removing the need for a separate Flink codebase
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