可以加微信吗？my: WHGN8888
在 2021-11-25 11:39:27，"Zhang Kai" <[email protected]> 写道： >你好： >收到的图片无法打开，是否有其他方式进行沟通或者形式的反馈及解答方式 > > >发件人: 王峰 <[email protected]> >答复: "[email protected]" <[email protected]> >日期: 2021年11月24日 星期三 17:58 >收件人: "[email protected]" <[email protected]> >主题: Re:Re: Re: The host load is too high, the same workflow appears parallel, >and the data doubles > >please see this! > > > >[cid:3c53b3d1$1$17d51613615$Coremail$wangchao_732$163.com] > > >[cid:23fd9693$2$17d5161a084$Coremail$wangchao_732$163.com] > > > > > >At 2021-11-24 13:58:03, "Lidong Dai" <[email protected]> wrote: > >>I think you can check the runtime log to find some warn/error message in > >>master server and worker server when you received the hung up alarm. > >> > >> > >>Best Regards > >> > >> > >> > >>--------------- > >>Apache DolphinScheduler PMC Chair > >>LidongDai > >>[email protected] > >>Linkedin: https://www.linkedin.com/in/dailidong > >>Twitter: @WorkflowEasy <https://twitter.com/WorkflowEasy> > >>--------------- > >> > >> > >>On Mon, Nov 22, 2021 at 10:54 AM 王峰 <[email protected]> wrote: > >> > >>> 3 nodes, 2master/worker are all on the same machine, there is no downtime, > >>> but the server service has hung up the alarm. I guess that insufficient > >>> machine resources have affected the operation of the server, and fault > >>> tolerance has occurred. The actual task after the error identification is > >>> returned It did not stop, and a new task instance was started on the new > >>> server. > >>> > >>> > >>> > >>> > >>> > >>> > >>> > >>> > >>> > >>> > >>> > >>> > >>> > >>> > >>> > >>> > >>> > >>> At 2021-11-21 18:41:49, "Lidong Dai" <[email protected]> wrote: > >>> >hi, > >>> >can you describe the question clearly? the host load means the Master > >>> >or the Worker server? is there any server down? > >>> > > >>> >Best Regards > >>> > > >>> > > >>> > > >>> >--------------- > >>> >Apache DolphinScheduler PMC Chair > >>> >LidongDai > >>> >[email protected] > >>> >Linkedin: https://www.linkedin.com/in/dailidong > >>> >Twitter: @WorkflowEasy > >>> >--------------- > >>> > > >>> >On Sun, Nov 21, 2021 at 3:59 PM 王峰 <[email protected]> wrote: > >>> >> > >>> >> doplhinscheduler 1.3.3 cluster > >>> >> > >>> >> > >>> >> > >>> >> > >>> >> There is such a scenario, because the host load is too high, master > >>> fault tolerance may occur in the middle, and the same workflow instance is > >>> run twice (two tasks are parallel in time), which causes the data to double. > >>> > > > > >
