Hi, Yes, it is only related to **batch** jobs, but not necessarily only to DataSet API jobs. If you are using for example Blink SQL/Table API to process some bounded data streams (tables), it could also be visible/affected there. If not, I would suggest to start a new user mailing list question and posting the details (what are you running, job manager/task manager logs, …).
Piotrek > On 2 Dec 2019, at 10:51, Victor Wong <jiashen...@gmail.com> wrote: > > Hi, > > We encountered similar issues that the task manager kept being killed by yarn. > > - flink 1.9.1 > - heap usage is low. > > But our job is a **streaming** job, so I want to ask if this issue is only > related to **batch** job or not? Thanks! > > Best, > Victor > > > yingjie <yjclove...@gmail.com <mailto:yjclove...@gmail.com>> 于2019年11月28日周四 > 上午11:43写道： > Piotr is right, that depend on the data size you are reading and the memory > pressure. Those memory occupied by mmapped region can be recycled and used > by other processes if memory pressure is high, that is, other process or > service on the same node won't be affected because the OS will recycle the > mmapped pages if needed. But currently, you can't assume a bound of the > memory can be used, because it will use more memory as long as there is free > space and you have more new data to read. > > > > -- > Sent from: > http://apache-flink-user-mailing-list-archive.2336050.n4.nabble.com/ > <http://apache-flink-user-mailing-list-archive.2336050.n4.nabble.com/> > > > -- > > Best, > Victor