This was what I was thinking but wanted to verify. Thanks Sean!
On Fri, Feb 27, 2015 at 9:56 PM, Sean Owen wrote:
> The coarsest level at which you can parallelize is topic. Topics are
> all but unrelated to each other so can be consumed independently. But
> you can parallelize within the contex
The coarsest level at which you can parallelize is topic. Topics are
all but unrelated to each other so can be consumed independently. But
you can parallelize within the context of a topic too.
A Kafka group ID defines a consumer group. One consumer in a group
receive each message to the topic tha
Looking @ [1], it seems to recommend pull from multiple Kafka topics in
order to parallelize data received from Kafka over multiple nodes. I notice
in [2], however, that one of the createConsumer() functions takes a
groupId. So am I understanding correctly that creating multiple DStreams
with the s
