---------- Forwarded message ---------
From: prudhvi ch <chr.prud...@gmail.com>
Date: Thu, Jan 31, 2019, 5:54 PM
Subject: Fwd: Spark driver pod scheduling fails on auto scaled node
To: <user@spark.apache.org>
---------- Forwarded message ---------
From: Prudhvi Chennuru (CONT) <prudhvi.chenn...@capitalone.com>
Date: Thu, Jan 31, 2019, 5:01 PM
Subject: Fwd: Spark driver pod scheduling fails on auto scaled node
To: <chr.prud...@gmail.com>
Hi,
I am using kubernetes *v 1.11.5* and spark *v 2.3.0*,
*calico(daemonset)* as overlay network plugin and kubernetes *cluster auto
scalar* feature to autoscale cluster if needed. When the cluster is auto
scaling calico pods are scheduling on those nodes but they are not ready
for 40 to 50 seconds and the driver and executors pods scheduling on those
nodes are failing as calico is not ready.
So is there a way to overcome this issue by not scheduling
driver and executor pods until *calico* is ready or introduce a delay in
driver or executor pods to schedule on the nodes.
*I am not using spark operator.*
--
*Thanks,*
*Prudhvi Chennuru.*
--
*Thanks,*
*Prudhvi Chennuru.*
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