Please take a look at DoubleRDDFunctions.scala : /** Compute the mean of this RDD's elements. */ def mean(): Double = stats().mean
/** Compute the variance of this RDD's elements. */ def variance(): Double = stats().variance /** Compute the standard deviation of this RDD's elements. */ def stdev(): Double = stats().stdev Cheers On Wed, Mar 4, 2015 at 10:51 AM, tridib <tridib.sama...@live.com> wrote: > Hello, > Is there in built function for getting median and standard deviation in > spark sql? Currently I am converting the schemaRdd to DoubleRdd and calling > doubleRDD.stats(). But still it does not have median. > > What is the most efficient way to get the median? > > Thanks & Regards > Tridib > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/spark-sql-median-and-standard-deviation-tp21914.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 > >
