问题
I have a table with nullable column, and when query the null column, it threw error
val row: List[(String,String)] = SQL("select top 10 Spare_Part part,Pricing_Category cat from Price_Point_Base")
.as((str("part"))~ str("cat") map(flatten) *)
I checked the link https://www.playframework.com/documentation/2.0/ScalaAnorm .
It only gives away to handle nullable column using something like
SQL("Select name,indepYear from Country")().map { row =>
row[String]("name") -> row[Option[Int]]("indepYear")
}
But since str("part")
is more compact than row[String]("name")
, so I'd like to try using str("part")
, but how to make str("part")
works with nullable column?
回答1:
If you're reading a nullable column, you really should be binding it to an Option[String]
to represent that it could be missing a value. Anorm will not convert it to null
, rather it will throw an error.
val row: List[(Option[String], String)] =
SQL("select top 10 Spare_Part part,Pricing_Category cat from Price_Point_Base")
.as( get[Option[String]("part") ~ str("cat") map(flatten) *)
This is messy however, and would get messier if you wanted to supply a default value for the String
. We could make a re-usable parser that defaults NULL
values to empty strings:
val parser: RowParser[(String, String)] = {
get[Option[String]]("part") ~ get[Option[String]]("cat") map {
case part~cat => (part.getOrElse(""), cat.getOrElse(""))
}
}
And then apply it:
val row: List[(String, String)] =
SQL("select top 10 Spare_Part part,Pricing_Category cat from Price_Point_Base")
.as(parser *)
回答2:
If you look here you'll see there is nothing that you're looking for. But looking at the source code I can assume that you can implement it yourself like this:
def strOpt(columnName: String)(implicit c: Column[Option[String]]): RowParser[Option[String]] =
get[Option[String]](columnName)(c)
Didn't test it though but should likely work fine.
来源:https://stackoverflow.com/questions/25640468/how-to-handle-null-in-anorm