StreamingSQLStatements
Streaming SQL statements are SQL-based queries designed to process continuous, unbounded data streams in real time. They are executed by stream processing engines and produce updated results as new events arrive, enabling real-time analytics and event-driven applications. Unlike traditional batch SQL, streaming SQL operates on an ongoing input feed and continuously refreshes outputs rather than producing a single static result.
Key features include continuous queries, time-aware semantics, and stateful processing. Streaming SQL supports windowed aggregations over
Time concepts are central, with event-time processing based on timestamps in the data and processing-time processing
In practice, streaming SQL is implemented in platforms such as Apache Flink SQL, ksqlDB, Spark Structured Streaming,