Hello Ashok,
We're consuming from more than 10 topics in some Spark streaming applications.
Topic management is a concern (what is read from where, etc), but I have seen
no issues from Spark itself.
Regards,
Bryan Jeffrey
Get Outlook for Android
On Mon, Jun 19, 2017 at
thank you
in the following example
val topics = "test1,test2,test3"
val brokers = "localhost:9092"
val topicsSet = topics.split(",").toSet
val sparkConf = new
SparkConf().setAppName("KafkaDroneCalc").setMaster("local")
//spark://localhost:7077
val sc = new
I don't think that there is really a Spark specific limit here. It would
be a function of the size of your spark / kafka clusters and the type of
processing you are trying to do.
On Mon, Jun 19, 2017 at 12:00 PM, Ashok Kumar
wrote:
> Hi Gurus,
>
> Within one Spark
Hi Gurus,
Within one Spark streaming process how many topics can be handled? I have not
tried more than one topic.
Thanks