Access multi-dimensional WrappedArray elements in Java using Spark SQL Row -


i have following schema:

geometry: struct (nullable = true)     -- coordinates: array (nullable = true)         -- element: array (containsnull = true)               -- element: array (containsnull = true)                 -- element: double (containsnull = true)

in java, how can access double element spark sql row?

the furthest can seem is: row.getstruct(0).getlist(0).

thanks!

in scala works, leave translate java:

import org.apache.spark.sql.{row, sqlcontext} import org.apache.spark.{sparkconf, sparkcontext} import scala.collection.mutable.wrappedarray   object demo {    case class mystruct(coordinates:array[array[array[double]]])   case class myrow(struct:mystruct)    def main(args: array[string]): unit = {      val sc = new sparkcontext(new sparkconf().setappname("demo").setmaster("local[*]"))     val sqlcontext = new sqlcontext(sc)     import sqlcontext.implicits._      val data = myrow(mystruct(array(array(array(1.0)))))     val df= sc.parallelize(seq(data)).todf()      // first entry (row)     val row = df.collect()(0)      val arr = row.getas[row](0).getas[wrappedarray[wrappedarray[wrappedarray[double]]]](0)      //access element     val res = arr(0)(0)(0)      println(res) // 1.0    } }

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