Using the Parser API with nullable columns in Anorm 2.4 - scala

Question

I'm really struggling to get rid of deprecation warnings now that I've upgraded to Anorm 2.4. I've had a look at How to handle null in Anorm but it didn't help me enough.
Let's take a simple example: the account database table:
id (bigint not null)
email_address (varchar not null)
first_name (varchar)
last_name (varchar)
I could have 2 functions in my Scala code: getAccountOfId and getAccountsOfLastName.
getAccountOfId returns 0 or 1 account, therefore Option[(Long, String, Option[String], Option[String])] to keep our example simple
getAccountsOfLastName returns a list of accounts (which could potentially have a size of 0), therefore List[(Long, String, Option[String], String)] to keep our example simple
Part of the code of these 2 functions:
def getAccountOfId(id: Long): Option[(Long, String, Option[String], Option[String])] = {
DB.withConnection { implicit c =>
val query = """select email_address, first_name, last_name
from account
where id = {id};"""
/* Rest of the code that I struggle with unless I use deprecated functions */
}
}
def getAccountsOfLastName(lastName: String): List[(Long, String, Option[String], String)] = {
DB.withConnection { implicit c =>
val query = """select id, email_address, first_name
from account
where last_name = {lastName};"""
/* Rest of the code that I struggle with unless I use deprecated functions */
}
}
I want the "rest of the code" in these 2 functions to be based on Anorm's Parser API.

Answer 1

Not sure if this helps, but using Anorm 2.4, I have a case class which looks like this:
final case class Role(id: Int,
label: String,
roletype: Int,
lid: Option[Int],
aid: Option[Int],
created: DateTime,
modified: DateTime)
and then just have parser combinator for it which looks like this:
val roleOptionRowParser = int("id") ~ str("label") ~ int("roletype") ~ (int("lid")?) ~ (int("vid")?) ~ get[DateTime]("created") ~
get[DateTime]("modified") map {
case id~label~roletype~lid~vid~created~modified ⇒ Some(Role(id, label, roletype, lid, vid, created, modified))
case _ ⇒ None
}
so you basically just parse out using the ? combinator for optional fields, then match based on what you extract from the SQL result row. You can then apply this to queries in the following way:
SQL(s"""
| select * from $source
| where $clause
""".stripMargin).on(params : _*).as(rowParser.single).get
where 'rowParser' in this case is just a reference to the roleOptionRowParser defined in the last lump of code.
If you have multiple rows returned from your query (or expect to have multiple rows) then you can apply the same combinators (such as ? or *) before passing them through to the 'as' function like this:
SQL(s"""
| select * from $source
| where $clause
""".stripMargin).on(params : _*).as(rowParser *).flatten
or
SQL(s"""
| select * from $source
| where $clause
""".stripMargin).on(params : _*).as(rowParser ?).flatten
Ah - forgot to mention that the 'flatten' on the end is there because my parser in this example returns an Option[Role], depending on whether all the necessary column values are present in the returned row (this bit):
case id~label~roletype~lid~vid~created~modified ⇒ Some(Role(id, label, roletype, lid, vid, created, modified))
So, when multiple rows are returned, I just apply 'flatten' to uplift out of the Option type so that I end up with a list of actual 'Role' instances.
Cheers,
HTH.

Answer 2

Turns out it was easy:
def getAccountOfId(id: Long): Option[(Long, String, Option[String], Option[String])] = {
DB.withConnection { implicit c =>
val query = """select email_address, first_name, last_name
from account
where id = {id};"""
val rowParser = str("email_address") ~ (str("first_name") ?) ~ (str("last_name") ?) map {
case emailAddress ~ firstNameOpt ~ lastNameOpt => (id, emailAddress, firstNameOpt, lastNameOpt)
}
SQL(query).on("id" -> id).as(rowParser.singleOpt)
}
}
def getAccountsOfLastName(lastName: String): List[(Long, String, Option[String], String)] = {
DB.withConnection { implicit c =>
val query = """select id, email_address, first_name
from account
where last_name = {lastName};"""
val rowParser = long("id") ~ str("email_address") ~ (str("first_name") ?) map {
case id ~ emailAddress ~ firstNameOpt => (id, emailAddress, firstNameOpt, lastName)
}
SQL(query).on("lastName" -> lastName).as(rowParser.*)
}
}