Flink SQL: Queries, Windows, and Time - Part 1
Explore the significance of time in stream processing with Flink SQL, covering timestamps, time attributes, and temporal operators for real-time data analysis.
Ververica9 min read
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4 articles
Explore the significance of time in stream processing with Flink SQL, covering timestamps, time attributes, and temporal operators for real-time data analysis.
Timers in the Apache Flink ProcessFunction: how processing-time and event-time timers fire, and four characteristics to keep in mind before you use them.
An introduction to event time in Apache Flink: how it differs from processing time and ingestion time, and how watermarks measure progress in event time.
Why event-time processing needs watermarks, explained with a simple stream sorter: four observations on buffering, waiting and bounded out-of-orderness in Apache Flink.