Hi Georg, Flink batch applications run until all their input is processed. When that's the case, the application finishes. You can read more about this in the documentation for DataStream [1] or Table API [2]. I think this matches the same as Spark is explaining in the documentation.
Best regards, Martijn [1] https://nightlies.apache.org/flink/flink-docs-master/docs/dev/datastream/execution_mode/ [2] https://nightlies.apache.org/flink/flink-docs-master/docs/dev/table/common/ On Mon, 2 May 2022 at 16:46, Georg Heiler <georg.kf.hei...@gmail.com> wrote: > Hi, > > spark > https://spark.apache.org/docs/latest/structured-streaming-programming-guide.html#triggers > offers a variety of triggers. > > In particular, it also has the "once" mode: > > *One-time micro-batch* The query will execute *only one* micro-batch to > process all the available data and then stop on its own. This is useful in > scenarios you want to periodically spin up a cluster, process everything > that is available since the last period, and then shutdown the cluster. In > some case, this may lead to significant cost savings. > > Does flink have a similar possibility? > > Best, > Georg >
