Why isnt a simple window function sufficient? eventData.window(Minutes(15), Seconds(3)) will keep generating RDDs every 3 second, each containing last 15 minutes of data.
TD On Wed, Aug 6, 2014 at 3:43 PM, salemi <alireza.sal...@udo.edu> wrote: > Hi, > I have a DStream called eventData and it contains set of Data objects > defined as followed: > > case class Data(startDate: Long, endDate: Long, className: String, id: > String, state: String) > > How would the reducer and inverse reducer functions look like if I would > like to add the data for current 3 second and filter out the last 3 second > data? > > eventData.reduceByWindow(/reduceFunc/, /invReduceFunc/, Minutes(15), > Seconds(3)) > > Thanks > Ali > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/Spark-Streaming-reduceByWindow-reduceFunc-invReduceFunc-windowDuration-slideDuration-tp11591.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 > >
