Your exception handling is occurring on the driver, where you
'configure' the job. I don't think it's what you mean to do. You
probably mean to do this within a function you are executing on data
within the cluster, like mapPartitions etc.

On Fri, Sep 25, 2015 at 5:20 AM, Samya <samya.ma...@amadeus.com> wrote:
> Hi Team,
>
> I have a code piece as follows.
>
> try{
>     someDstream.someaction(.......)                           //Step1
> }catch{
>    case ex:Exception =>{
>     someDstream.someaction(.......)                           //Step2
>    }
> }
>
> When I get an exception for current batch, Step2 executes as expected.
>
> But for the next batches, when there is no exception, then also both step1 &
> step2 executes. In this scenario I want only Step1 to execute.
>
> Regards,
> Sam
>
>
>
> --
> View this message in context: 
> http://apache-spark-user-list.1001560.n3.nabble.com/Stop-a-Dstream-computation-tp24816.html
> Sent from the Apache Spark User List mailing list archive at Nabble.com.
>
> ---------------------------------------------------------------------
> To unsubscribe, e-mail: user-unsubscr...@spark.apache.org
> For additional commands, e-mail: user-h...@spark.apache.org
>

---------------------------------------------------------------------
To unsubscribe, e-mail: user-unsubscr...@spark.apache.org
For additional commands, e-mail: user-h...@spark.apache.org

Reply via email to