Kafka is designed to only allow reads from leaders. You need to fix
this at the kafka level not the spark level.
On Fri, Jan 6, 2017 at 7:33 AM, Raghu Vadapalli wrote:
>
> My spark 2.0 + kafka 0.8 streaming job fails with error partition leaderset
> exception. When I check the kafka topic the partition, it is indeed in error
> with Leader = -1 and empty ISR. I did lot of google and all of them point
> to either restarting or deleting the topic. To do any of those two in
> production system while other topics are in heavy use is next to impossible.
> Now my question, is there way to force spark to read from leaderless
> partition accepting some dataloss or inconsistency ? Or force the immediate
> sync followed by election ( a kafka users group question but I am pushing my
> luck:) here )
>
> Topic: vzecsapplog Partition: 8 Leader: -1 Replicas: 5,4 Isr:
>
> --
> Regards,
> Raghu
>
-
To unsubscribe e-mail: user-unsubscr...@spark.apache.org