Thanks TD. On Mon, Aug 7, 2017 at 8:59 PM, Tathagata Das <tathagata.das1...@gmail.com> wrote:
> I dont think there is any easier way. > > On Mon, Aug 7, 2017 at 7:32 PM, shyla deshpande <deshpandesh...@gmail.com> > wrote: > >> Thanks TD for the response. I forgot to mention that I am not using >> structured streaming. >> >> I was looking into KafkaUtils.createRDD, and looks like I need to get >> the earliest and the latest offset for each partition to build the >> Array(offsetRange). I wanted to know if there was a easier way. >> >> 1 reason why we are hesitating to use structured streaming is because I >> need to persist the data in Cassandra database which I believe is not >> production ready. >> >> >> On Mon, Aug 7, 2017 at 6:11 PM, Tathagata Das < >> tathagata.das1...@gmail.com> wrote: >> >>> Its best to use DataFrames. You can read from as streaming or as batch. >>> More details here. >>> >>> https://spark.apache.org/docs/latest/structured-streaming-ka >>> fka-integration.html#creating-a-kafka-source-for-batch-queries >>> https://databricks.com/blog/2017/04/26/processing-data-in-ap >>> ache-kafka-with-structured-streaming-in-apache-spark-2-2.html >>> >>> On Mon, Aug 7, 2017 at 6:03 PM, shyla deshpande < >>> deshpandesh...@gmail.com> wrote: >>> >>>> Hi all, >>>> >>>> What is the easiest way to read all the data from kafka in a batch >>>> program for a given topic? >>>> I have 10 kafka partitions, but the data is not much. I would like to >>>> read from the earliest from all the partitions for a topic. >>>> >>>> I appreciate any help. Thanks >>>> >>> >>> >> >
