Apache Flink Sliding windows allow you to aggregate events on partially-overlapping, fixed width time windows. For Flink Sliding windows you need to define:

• The window size: how much time the window will last
• The window slide: what’s the delay between the current window and the next window start time

Find out how you can create sliding windows with Flink SQL.

Check out these resources to learn more:

• Concepts of Aiven for Apache Flink “Application” and “Version” https://www.youtube.com/watch
• Apache Flink Window Types https://www.youtube.com/watch
• Flink windows definition https://nightlies.apache.org/flink/flink-docs-master/docs/dev/datastream/operators/windows/
• Flink SQL Windowing https://nightlies.apache.org/flink/flink-docs-master/docs/dev/table/sql/queries/window-agg/

CHAPTERS

00:00 Intro: Apache Flink Sliding Windows Theory

01:28 Check the data in Apache Kafka

01:58 Build an Apache Flink Application

04:04 Define the Apache Flink Sliding window SQL statement

06:33 Check the output data in Apache Kafka

07:34 Summary: How to build Sliding Windows with Apache Flink

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