Description
Reported initially here: http://stackoverflow.com/questions/34995376/apache-spark-window-function-with-nested-column
import sqlContext.implicits._ import org.apache.spark.sql.functions._ import org.apache.spark.sql.expressions.Window sql("SET spark.sql.eagerAnalysis=false") // Let us see the error even though we are constructing an invalid tree val data = Seq(("a", "b", "c", 3), ("c", "b", "a", 3)).toDF("A", "B", "C", "num") .withColumn("Data", struct("A", "B", "C")) .drop("A") .drop("B") .drop("C") val winSpec = Window.partitionBy("Data.A", "Data.B").orderBy($"num".desc) data.select($"*", max("num").over(winSpec) as "max").explain(true)
When you run this, the analyzer inserts invalid columns into a projection, as seen below:
== Parsed Logical Plan == 'Project [*,'max('num) windowspecdefinition('Data.A,'Data.B,'num DESC,UnspecifiedFrame) AS max#64928] +- Project [num#64926,Data#64927] +- Project [C#64925,num#64926,Data#64927] +- Project [B#64924,C#64925,num#64926,Data#64927] +- Project [A#64923,B#64924,C#64925,num#64926,struct(A#64923,B#64924,C#64925) AS Data#64927] +- Project [_1#64919 AS A#64923,_2#64920 AS B#64924,_3#64921 AS C#64925,_4#64922 AS num#64926] +- LocalRelation [_1#64919,_2#64920,_3#64921,_4#64922], [[a,b,c,3],[c,b,a,3]] == Analyzed Logical Plan == num: int, Data: struct<A:string,B:string,C:string>, max: int Project [num#64926,Data#64927,max#64928] +- Project [num#64926,Data#64927,A#64932,B#64933,max#64928,max#64928] +- Window [num#64926,Data#64927,A#64932,B#64933], [HiveWindowFunction#org.apache.hadoop.hive.ql.udf.generic.GenericUDAFMax(num#64926) windowspecdefinition(A#64932,B#64933,num#64926 DESC,RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS max#64928], [A#64932,B#64933], [num#64926 DESC] +- !Project [num#64926,Data#64927,A#64932,B#64933] +- Project [num#64926,Data#64927] +- Project [C#64925,num#64926,Data#64927] +- Project [B#64924,C#64925,num#64926,Data#64927] +- Project [A#64923,B#64924,C#64925,num#64926,struct(A#64923,B#64924,C#64925) AS Data#64927] +- Project [_1#64919 AS A#64923,_2#64920 AS B#64924,_3#64921 AS C#64925,_4#64922 AS num#64926] +- LocalRelation [_1#64919,_2#64920,_3#64921,_4#64922], [[a,b,c,3],[c,b,a,3]]