Hi, I would like to share some considerations about Flink memory consumption. I have a cluster composed of three nodes: 1 used both as JM and TM and other 2 TM.
I ran two identical applications (in different moments) on it. The only difference is that on the second one I doubled every operators, essentially to check what changes in resource's usage. Analysing the outcomes on cpu side effectively the efforts are doubled. Doing the same with memory I had these results: <http://apache-flink-user-mailing-list-archive.2336050.n4.nabble.com/file/t985/Screen_Shot_2017-11-03_at_21.png> which to me seems completely counterintuitive since the results are essentially equal. I can imagine in the second case the memory was effectively almost full but why Flink gets such a lot of memory even in the first case? How it is explained this behaviour? -- Sent from: http://apache-flink-user-mailing-list-archive.2336050.n4.nabble.com/
