In this blog, we use code snippet to demonstrate the difference. The rich Windows APIs of Apache Flink make it possible to handle all possible operation while combining Processing Time and Windows.We can click a job in Flink’s Web UI to view the logical view of the job. Among them,keyBy、timeWindowandsumTogether, the aggregation operation on a time window is reduced to an operator. The data flow is calculated by different operators in Flink program, and finally generated as the target data.Searns, AICP, is with Urban Edges, a consulting firm specializing in trail and greenway design based in Littleton, Colorado. Kristine Olka is a planner with Greenways, Inc. in Cary, North Carolina and an adjunct professor at North Carolina State University. Operators, namely KeyBy, as well as a stateful map can be used programmatically to better understand how Flink periodically takes consistent checkpoints to protect a streaming application from.不管是stream还是batch处理，都有一个keyBy(stream)和groupBy(batch)操作。那么该如何指定key？ Some transformations (join, coGroup, keyBy, groupBy) require that a key be defined on a collection of elements. DataStream and DataSet programming abstractions are the foundation for user programs and.Provides a reliable backend for various workloads.
Executes dataflows in parallel on clusters.
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