Re: [VOTE] SPIP: Catalog API for view metadata

+1 (non-binding). Thanks John! Terry On Fri, Feb 4, 2022 at 4:13 PM Yufei Gu wrote: > +1 (non-binding) > Best, > > Yufei > > `This is not a contribution` > > > On Fri, Feb 4, 2022 at 11:54 AM huaxin gao wrote: > >> +1 (non-binding) >> >> On Fri, Feb 4, 2022 at 11:40 AM L. C. Hsieh wrote: >>

Re: [VOTE] SPIP: Catalog API for view metadata

+1 (non-binding) Best, Yufei `This is not a contribution` On Fri, Feb 4, 2022 at 11:54 AM huaxin gao wrote: > +1 (non-binding) > > On Fri, Feb 4, 2022 at 11:40 AM L. C. Hsieh wrote: > >> +1 >> >> On Thu, Feb 3, 2022 at 7:25 PM Chao Sun wrote: >> > >> > +1 (non-binding). Looking forward to

Re: [VOTE] SPIP: Catalog API for view metadata

+1 (non-binding) On Fri, Feb 4, 2022 at 11:40 AM L. C. Hsieh wrote: > +1 > > On Thu, Feb 3, 2022 at 7:25 PM Chao Sun wrote: > > > > +1 (non-binding). Looking forward to this feature! > > > > On Thu, Feb 3, 2022 at 2:32 PM Ryan Blue wrote: > >> > >> +1 for the SPIP. I think it's well designed

Re: [VOTE] SPIP: Catalog API for view metadata

+1 On Thu, Feb 3, 2022 at 7:25 PM Chao Sun wrote: > > +1 (non-binding). Looking forward to this feature! > > On Thu, Feb 3, 2022 at 2:32 PM Ryan Blue wrote: >> >> +1 for the SPIP. I think it's well designed and it has worked quite well at >> Netflix for a long time. >> >> On Thu, Feb 3, 2022

Re: Spark on K8s : property simillar to yarn.max.application.attempt

Hi Pralabh, I understand that this is a question more related to K8s than to Spark itself. In K8s you have a set of objects to control the state of your pods, which allow you, among other things, to redeploy pods that have failed. This would apply to the pod containing the driver container.

Re: Spark on K8s : property simillar to yarn.max.application.attempt

Not as far as I know. If your driver pod fails, then you need to resubmit the job. I cannot see what else can be done? HTH view my Linkedin profile *Disclaimer:* Use it at your own risk. Any and all responsibility for any loss,

Spark on K8s : property simillar to yarn.max.application.attempt

Hi Spark Team I am running spark on K8s and looking for a property/mechanism similar to yarn.max.application.attempt . I know this is not really a spark question , but i thought if anyone have faced the similar issue, Basically I want if my driver pod fails , it should be retried on a different