If yes, does that mean that I have to purge old state
> backend in RocksDB ?
>
> Thanks a lot !
>
> Regards,
> Julien.
>
> - Mail original -
> De: "Fabian Hueske"
> À: "wangzhijiang999"
> Cc: "Paul Lam" , jpreis...@fre
bian Hueske"
À: "wangzhijiang999"
Cc: "Paul Lam" , jpreis...@free.fr, "user"
Envoyé: Mercredi 17 Octobre 2018 10:03:35
Objet: Re: Need help to understand memory consumption
Hi,
As was said before, managed memory (as described in the blog post [1]) is only
---
> 发件人：Paul Lam
> 发送时间：2018年10月17日(星期三) 14:35
> 收件人：Zhijiang(wangzhijiang999)
> 抄 送：jpreisner ; user
> 主 题：Re: Need help to understand memory consumption
>
> Hi Zhijiang,
>
> Does the memory management apply to streaming jobs as well? A previous
> post
lazy allocating via taskmanager.memory.preallocate=false.
>
> Best,
> Zhijiang
> ------
> 发件人：Paul Lam
> 发送时间：2018年10月17日(星期三) 12:31
> 收件人：jpreisner
> 抄 送：user
> 主 题：Re: Need help to understand memory consumption
Hi Julien,
AFAIK, streaming jobs put data objects on heap, so the it depends on the JVM GC
to release the memory.
Best,
Paul Lam
> 在 2018年10月12日，14:29，jpreis...@free.fr 写道：
>
> Hi,
>
> My use case is :
> - I use Flink 1.4.1 in standalone cluster with 5 VM (1 VM = 1 JobManager + 1
> TaskM
