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Systems that dynamically switch between in-memory and disk-based processing based on available physical memory.
Distinct from Memory Management: Focuses on the transition between memory and disk (out-of-core) for large datasets, rather than just allocation/reclamation.
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Apache Flink is a distributed processing engine designed for both high-throughput, low-latency data streams and finite batch workloads. It functions as a stateful stream processor and a SQL stream processing engine, providing a unified runtime to execute relational queries and event-based transformations. The system is distinguished by its ability to manage persistent operator state to ensure exactly-once processing guarantees and consistency during failures. It features specialized capabilities for complex event processing to detect temporal patterns and handles out-of-order events using eve
Automatically switches between in-memory and out-of-core processing to handle datasets that exceed available physical memory.