Hi Eyal, what you're seeing is not a Spark issue, it is related to boxed types.
I assume 'b' in your code is some kind of java buffer, where b.getDouble() returns an instance of java.lang.Double and not a scala.Double. Hence muCouch is an Array[java.lang.Double], an array containing boxed doubles. To fix your problem, change 'yield b.getDouble(i)' to 'yield b.getDouble(i).doubleValue' You might want to have a look at these too: - http://stackoverflow.com/questions/23821576/efficient-conversion-of-java-util-listjava-lang-double-to-scala-listdouble - https://docs.oracle.com/javase/7/docs/api/java/lang/Double.html - http://www.scala-lang.org/api/current/index.html#scala.Double On 30 November 2015 at 10:13, Eyal Sharon <e...@scene53.com> wrote: > Hi , > > I have problem with inferring what are the types bug here > > I have this code fragment . it parse Json to Array[Double] > > > > > > > *val muCouch = { val e = input.filter( _.id=="mu")(0).content() val b = > e.getArray("feature_mean") for (i <- 0 to e.getInt("features") ) yield > b.getDouble(i)}.toArray* > > Now the problem is when I want to create a dense vector : > > *new DenseVector(muCouch)* > > > I get the following error : > > > *Error:(111, 21) type mismatch; > found : Array[java.lang.Double] > required: Array[scala.Double] * > > > Now , I probably get a workaround for that , but I want to get a deeper > understanding on why it occurs > > p.s - I do use collection.JavaConversions._ > > Thanks ! > > > > > *This email and any files transmitted with it are confidential and > intended solely for the use of the individual or entity to whom they are > addressed. Please note that any disclosure, copying or distribution of the > content of this information is strictly forbidden. If you have received > this email message in error, please destroy it immediately and notify its > sender.* >
