Hello Flink People :-)
I am trying to get my head around flink - is it a supported use case to register multiple streams with possibly more than one transformation / action per stream? def main(args: Array[String]): Unit = { val env = StreamExecutionEnvironment.getExecutionEnvironment val prop = new Properties() prop.setProperty("bootstrap.servers", "vmi:9092") // first stream val ins = env.addSource(new FlinkKafkaConsumer010("foo", new SimpleStringSchema(), prop)) .map(s => "transformation-1: " + s) ins.map(s => "transformation-2:" + s).print() // one action ins.map(s => "transformation-3:" + s).print() // one more action ins.map(s => "transformation-4:" + s).print() // another action on the same stream // second, different stream val ins2 = env.addSource(new FlinkKafkaConsumer010("bar", new SimpleStringSchema(), prop)) .map(s => "transformation-5: " + s) ins2.map(s => "transformation-7:" + s).print() // action ins2.map(s => "transformation-6:" + s).print() // different action env.execute("run all streams with multiple actions attached") } Is this program abusing flnk or is this just how you are supposed to do things? also, how many threads will this programm consume when running with parallelism = 4 ? Best regards Peter