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- > kafka-integration.html#creating-a-kafka-source-for-batch-queries > https://databricks.com/blog/2017/04/26/processing-data-in- > apache-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 >> > >
