Re: Spark Streaming with Kafka Use Case

If by smaller block interval you mean the value in seconds passed to the streaming context constructor, no. You'll still get everything from the starting offset until now in the first batch. On Thu, Feb 18, 2016 at 10:02 AM, praveen S wrote: > Sorry.. Rephrasing : > Can

Re: Spark Streaming with Kafka Use Case

Sorry.. Rephrasing : Can this issue be resolved by having a smaller block interval? Regards, Praveen On 18 Feb 2016 21:30, "praveen S" wrote: > Can having a smaller block interval only resolve this? > > Regards, > Praveen > On 18 Feb 2016 21:13, "Cody Koeninger"

Re: Spark Streaming with Kafka Use Case

Can having a smaller block interval only resolve this? Regards, Praveen On 18 Feb 2016 21:13, "Cody Koeninger" wrote: > Backpressure won't help you with the first batch, you'd need > spark.streaming.kafka.maxRatePerPartition > for that > > On Thu, Feb 18, 2016 at 9:40 AM,

Re: Spark Streaming with Kafka Use Case

Backpressure won't help you with the first batch, you'd need spark.streaming.kafka.maxRatePerPartition for that On Thu, Feb 18, 2016 at 9:40 AM, praveen S wrote: > Have a look at > > spark.streaming.backpressure.enabled > Property > > Regards, > Praveen > On 18 Feb 2016

Re: Spark Streaming with Kafka Use Case

Have a look at spark.streaming.backpressure.enabled Property Regards, Praveen On 18 Feb 2016 00:13, "Abhishek Anand" wrote: > I have a spark streaming application running in production. I am trying to > find a solution for a particular use case when my application has

Re: Spark Streaming with Kafka Use Case

Just use a kafka rdd in a batch job or two, then start your streaming job. On Wed, Feb 17, 2016 at 12:57 AM, Abhishek Anand wrote: > I have a spark streaming application running in production. I am trying to > find a solution for a particular use case when my