Here's official spark document about batch size/interval: http://spark.apache.org/docs/latest/streaming-programming-guide.html#setting-the-right-batch-size
spark is batch oriented processing. As you mentioned, the streaming is continuous flow, and core spark can not handle it. Spark streaming bridges the gap between the continuous flow and batch oriented processing. It generates an RDD from continuous data flow/stream every batch interval, then the spark can process them as normal RDDs. -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Spark-Streaming-batchDuration-for-streaming-tp14469p14487.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
