Spark Scala: Schema for type Unit is not supported

[alex_82712]

Code:
val duration_dates = udf( (ci: Date, co: Date) => {
val miliseconds_per_day = 24*60*60*1000
val nDays = ( co.getTime() - ci.getTime() ) / miliseconds_per_day
(0L until nDays).map(i => new Date(ci.getTime() + i * miliseconds_per_day) )
}
)

我是一名Spark Scala编程的入门者，现在遇到一个问题，有一段prototype是udf的，现在执行报错
App > Exception in thread "main" java.lang.UnsupportedOperationException: Schema for type java.util.Date is not supported
请帮忙看看哪里有问题，谢谢

[QQ_csdn_work]

你好，针对你这个问题，我使用spark-shell试了下，确实如此。
然后找了官方资料查了查，并且给出解决方案，如下。

解决方法：


原因：
Spark SQL and DataFrames support the following data types:
Datetime type
TimestampType: Represents values comprising values of fields year, month, day, hour, minute, and second.
DateType: Represents values comprising values of fields year, month, day.


TimestampType java.sql.Timestamp TimestampType
DateType java.sql.Date DateType

[QQ_csdn_work]

补充一下，如果你要用到时分秒，请使用 java.sql.Timestamp