What would the differences be between these scenarios? 1) one task manager with numberOfTaskSlots=1 and one job with parallelism=1
2) one task manager with numberOfTaskSlots=10 and one job with parallelism=10 In both cases all of the job's tasks get executed within the one task manager's jvm. Are there any downsides to doing #2 instead of #1? I ask this question because of current issues related to watermarks with Kafka sources [1] [2] and changing parallelism with savepoints [3]. I'm writing a Flink job that processes events from Kafka topics that have 12 partitions. I'm wondering if I should just set the job parallelism=12 and make numberOfTaskSlots sum to 12 across however many task managers I set up. It seems like watermarks would work properly then, and I could effectively change job parallelism using the number of task managers (e.g. 1 TM with slots=12, or 2 TMs with slots=6, or 12 TMs with slots=1, etc). Am I missing any important details that would make this a bad idea? It seems like a bit of abuse of numberOfTaskSlots, but also seems like a fairly simple solution to a few current issues. Thanks, Zach [1] http://apache-flink-user-mailing-list-archive.2336050.n4.nabble.com/Kafka-partition-alignment-for-event-time-tt4782.html [2] https://issues.apache.org/jira/browse/FLINK-3375 [3] http://apache-flink-user-mailing-list-archive.2336050.n4.nabble.com/Changing-parallelism-tt4967.html
