Hello, I understand that Spark Streaming uses micro-batches to implement streaming, while traditional streaming systems use the record-at-a-time processing model. The performance benefit of the former is throughput, and the latter is latency. I'm wondering what it would take to implement record-at-a-time for Spark Streaming? Would it be something that is feasible to prototype in one or two months?
Thanks, Jianneng -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Record-at-a-time-model-for-Spark-Streaming-tp15885.html Sent from the Apache Spark User List mailing list archive at Nabble.com.
