let's say I have a DataFrame with schema of followings:root |-- name: string (nullable = true) |-- location: struct (nullable = true) | |-- longitude: double (nullable = true) | |-- latitude: double (nullable = true) df.show(); throws following exception:
java.lang.ClassCastException: [D cannot be cast to java.lang.Double at scala.runtime.BoxesRunTime.unboxToDouble(BoxesRunTime.java:119) at org.apache.spark.sql.catalyst.expressions.BaseGenericInternalRow$class.getDouble(rows.scala:44) at org.apache.spark.sql.catalyst.expressions.GenericInternalRow.getDouble(rows.scala:221) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.apply(Unknown Source).... Any advise?Thanks in advance.Richard