Hi Spark Team,

I am using Spark 3.4.0 version in my application which is use to consume 
messages from Kafka topics.

I have below queries:

1. Does DStream support pause/resume streaming message consumption at runtime 
on particular condition? If yes, please provide details.
2. I tried to revoke partition from consumer at runtime which cause error.

throw new IllegalStateException(s"Previously tracked partitions " +
        s"${revokedPartitions.mkString("[", ",", "]")} been revoked by Kafka 
because of consumer " +
        s"rebalance. This is mostly due to another stream with same group id 
joined, " +
        s"please check if there're different streaming application misconfigure 
to use same " +
        s"group id. Fundamentally different stream should use different group 
id")


3. Does Spark support Blue/Green Deployment. I need to implement Blue/Green 
Deployment scenario with Spark. Facing problem as need to deploy both Blue and 
Green deployment with same consumer-group-id. As I read, spark does not support 
2 deployment with same consumer group-id, this implementation is failing. 
Please guide how this can be implemented with Spark.
4. Does Spark support Active-Active deployment.

It will be great if you can reply on above queries please.

--

Regards,
Saurabh Agrawal

Software Development Specialist, IPaaS R&D
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