22 fields limit in Scala 2.11 + Play Framework 2.3 Case classes and functions
You can use Jackson's Scala module. Play's json feature is built upon Jackson scala . I don't know why they put a 22 field limit here while jackson supports more than 22 fields. It may make sense that a function call can never use more than 22 parameters, but we can have hundreds of columns inside a DB entity, so this restriction here is ridiculous and makes Play a less productive toy. check this out:
import com.fasterxml.jackson.databind.ObjectMapper
import com.fasterxml.jackson.module.scala.experimental.ScalaObjectMapper
import com.fasterxml.jackson.module.scala.DefaultScalaModule
object JacksonUtil extends App {
val mapper = new ObjectMapper with ScalaObjectMapper
mapper.registerModule(DefaultScalaModule)
val t23 = T23("a","b","c","d","e","f","g","h","i","j","k","l","m","n","o","p","q","r","s","t","u","v","w")
println(mapper.writeValueAsString(t23))
}
case class T23(f1:String,f2:String,f3:String,f4:String,f5:String,f6:String,f7:String,
f8:String,f9:String,f10:String,f11:String,f12:String,f13:String,f14:String,f15:String,
f16:String,f17:String,f18:String,f19:String,f20:String,f21:String,f22:String,f23:String)
We were also breaking our models into multiple case classes, but this was quickly becoming unmanageable. We use Slick as our object relational mapper, and Slick 2.0 comes with a code generator that we use to generate classes (which come with apply methods and copy constructors to mimic case classes) along with methods to instantiate models from Json (we do not automatically generate methods to convert models into Json because we have too many special cases to deal with). Using the Slick code generator does not require you to use Slick as your object relational mapper.
This is part of the input to the code generator - this method takes a JsObject and uses it to either instantiate a new model or update an existing model.
private def getItem(original: Option[${name}], json: JsObject, trackingData: TrackingData)(implicit session: scala.slick.session.Session): Try[${name}] = {
preProcess("$name", columnSet, json, trackingData).flatMap(updatedJson => {
${indent(indent(indent(entityColumnsSansId.map(c => s"""val ${c.name}_Parsed = parseJsonField[${c.exposedType}](original.map(_.${c.name}), "${c.name}", updatedJson, "${c.exposedType}")""").mkString("\n"))))}
val errs = Seq(${indent(indent(indent(indent(entityColumnsSansId.map(c => s"${c.name}_Parsed.map(_ => ())").mkString(", ")))))}).condenseUnit
for {
_ <- errs
${indent(indent(indent(indent(entityColumnsSansId.map(c => s"${c.name}_Val <- ${c.name}_Parsed").mkString("\n")))))}
} yield {
original.map(_.copy(${entityColumnsSansId.map(c => s"${c.name} = ${c.name}_Val").mkString(", ")}))
.getOrElse(${name}.apply(id = None, ${entityColumnsSansId.map(c => s"${c.name} = ${c.name}_Val").mkString(", ")}))
}
})
}
For example, with our ActivityLog model this produces the following code. If "original" is None then this is being called from a "createFromJson" method and we instantiate a new model; if "original" is Some(activityLog) then this is being called from an "updateFromJson" method and we update the existing model. The "condenseUnit" method being called on the "val errs = ..." line takes a Seq[Try[Unit]] and produces a Try[Unit]; if the Seq has any errors then the Try[Unit] concatenates the exception messages. The parseJsonField and parseField methods are not generated - they're just referenced from the generated code.
private def parseField[T](name: String, json: JsObject, tpe: String)(implicit r: Reads[T]): Try[T] = {
Try((json \ name).as[T]).recoverWith {
case e: Exception => Failure(new IllegalArgumentException("Failed to parse " + Json.stringify(json \ name) + " as " + name + " : " + tpe))
}
}
def parseJsonField[T](default: Option[T], name: String, json: JsObject, tpe: String)(implicit r: Reads[T]): Try[T] = {
default match {
case Some(t) => if(json.keys.contains(name)) parseField(name, json, tpe)(r) else Try(t)
case _ => parseField(name, json, tpe)(r)
}
}
private def getItem(original: Option[ActivityLog], json: JsObject, trackingData: TrackingData)(implicit session: scala.slick.session.Session): Try[ActivityLog] = {
preProcess("ActivityLog", columnSet, json, trackingData).flatMap(updatedJson => {
val user_id_Parsed = parseJsonField[Option[Int]](original.map(_.user_id), "user_id", updatedJson, "Option[Int]")
val user_name_Parsed = parseJsonField[Option[String]](original.map(_.user_name), "user_name", updatedJson, "Option[String]")
val item_id_Parsed = parseJsonField[Option[String]](original.map(_.item_id), "item_id", updatedJson, "Option[String]")
val item_item_type_Parsed = parseJsonField[Option[String]](original.map(_.item_item_type), "item_item_type", updatedJson, "Option[String]")
val item_name_Parsed = parseJsonField[Option[String]](original.map(_.item_name), "item_name", updatedJson, "Option[String]")
val modified_Parsed = parseJsonField[Option[String]](original.map(_.modified), "modified", updatedJson, "Option[String]")
val action_name_Parsed = parseJsonField[Option[String]](original.map(_.action_name), "action_name", updatedJson, "Option[String]")
val remote_ip_Parsed = parseJsonField[Option[String]](original.map(_.remote_ip), "remote_ip", updatedJson, "Option[String]")
val item_key_Parsed = parseJsonField[Option[String]](original.map(_.item_key), "item_key", updatedJson, "Option[String]")
val created_at_Parsed = parseJsonField[Option[java.sql.Timestamp]](original.map(_.created_at), "created_at", updatedJson, "Option[java.sql.Timestamp]")
val as_of_date_Parsed = parseJsonField[Option[java.sql.Timestamp]](original.map(_.as_of_date), "as_of_date", updatedJson, "Option[java.sql.Timestamp]")
val errs = Seq(user_id_Parsed.map(_ => ()), user_name_Parsed.map(_ => ()), item_id_Parsed.map(_ => ()), item_item_type_Parsed.map(_ => ()), item_name_Parsed.map(_ => ()), modified_Parsed.map(_ => ()), action_name_Parsed.map(_ => ()), remote_ip_Parsed.map(_ => ()), item_key_Parsed.map(_ => ()), created_at_Parsed.map(_ => ()), as_of_date_Parsed.map(_ => ())).condenseUnit
for {
_ <- errs
user_id_Val <- user_id_Parsed
user_name_Val <- user_name_Parsed
item_id_Val <- item_id_Parsed
item_item_type_Val <- item_item_type_Parsed
item_name_Val <- item_name_Parsed
modified_Val <- modified_Parsed
action_name_Val <- action_name_Parsed
remote_ip_Val <- remote_ip_Parsed
item_key_Val <- item_key_Parsed
created_at_Val <- created_at_Parsed
as_of_date_Val <- as_of_date_Parsed
} yield {
original.map(_.copy(user_id = user_id_Val, user_name = user_name_Val, item_id = item_id_Val, item_item_type = item_item_type_Val, item_name = item_name_Val, modified = modified_Val, action_name = action_name_Val, remote_ip = remote_ip_Val, item_key = item_key_Val, created_at = created_at_Val, as_of_date = as_of_date_Val))
.getOrElse(ActivityLog.apply(id = None, user_id = user_id_Val, user_name = user_name_Val, item_id = item_id_Val, item_item_type = item_item_type_Val, item_name = item_name_Val, modified = modified_Val, action_name = action_name_Val, remote_ip = remote_ip_Val, item_key = item_key_Val, created_at = created_at_Val, as_of_date = as_of_date_Val))
}
})
}
This is not possible, out of the box, for several reasons:
First, as gourlaysama pointed it out, play-json library used scala macro to avoid bolierplate code, and the current code relies of the
unapply
andapply
methods to retrieve fields. This explains the first error message in your question.Secondly play-json library relies of a functional library which currently works only with a fixed number of parameters corresponding to previous case class fields arity limit. This explains the second error message in your question.
However it is possible to bypass the second point by either:
using shapeless Automatic Typeclass Derivation feature. Naveen Gattu has written an excellent gist doing exaclty so.
overridding default functiunal builder
First, creating the missing FunctionalBuilder
:
class CustomFunctionalBuilder[M[_]](canBuild: FunctionalCanBuild[M]) extends FunctionalBuilder {
class CustomCanBuild22[A1, A2, A3, A4, A5, A6, A7, A8, A9, A10, A11, A12, A13, A14, A15, A16, A17, A18, A19, A20, A21, A22](m1: M[A1 ~ A2 ~ A3 ~ A4 ~ A5 ~ A6 ~ A7 ~ A8 ~ A9 ~ A10 ~ A11 ~ A12 ~ A13 ~ A14 ~ A15 ~ A16 ~ A17 ~ A18 ~ A19 ~ A20 ~ A21], m2: M[A22]) {
def ~[A23](m3: M[A23]) = new CustomCanBuild23[A1, A2, A3, A4, A5, A6, A7, A8, A9, A10, A11, A12, A13, A14, A15, A16, A17, A18, A19, A20, A21, A22, A23](canBuild(m1, m2), m3)
def and[A23](m3: M[A23]) = this.~(m3)
def apply[B](f: (A1, A2, A3, A4, A5, A6, A7, A8, A9, A10, A11, A12, A13, A14, A15, A16, A17, A18, A19, A20, A21, A22) => B)(implicit fu: Functor[M]): M[B] =
fu.fmap[A1 ~ A2 ~ A3 ~ A4 ~ A5 ~ A6 ~ A7 ~ A8 ~ A9 ~ A10 ~ A11 ~ A12 ~ A13 ~ A14 ~ A15 ~ A16 ~ A17 ~ A18 ~ A19 ~ A20 ~ A21 ~ A22, B](canBuild(m1, m2), { case a1 ~ a2 ~ a3 ~ a4 ~ a5 ~ a6 ~ a7 ~ a8 ~ a9 ~ a10 ~ a11 ~ a12 ~ a13 ~ a14 ~ a15 ~ a16 ~ a17 ~ a18 ~ a19 ~ a20 ~ a21 ~ a22 => f(a1, a2, a3, a4, a5, a6, a7, a8, a9, a10, a11, a12, a13, a14, a15, a16, a17, a18, a19, a20, a21, a22) })
def apply[B](f: B => (A1, A2, A3, A4, A5, A6, A7, A8, A9, A10, A11, A12, A13, A14, A15, A16, A17, A18, A19, A20, A21, A22))(implicit fu: ContravariantFunctor[M]): M[B] =
fu.contramap(canBuild(m1, m2), (b: B) => { val (a1, a2, a3, a4, a5, a6, a7, a8, a9, a10, a11, a12, a13, a14, a15, a16, a17, a18, a19, a20, a21, a22) = f(b); new ~(new ~(new ~(new ~(new ~(new ~(new ~(new ~(new ~(new ~(new ~(new ~(new ~(new ~(new ~(new ~(new ~(new ~(new ~(new ~(new ~(a1, a2), a3), a4), a5), a6), a7), a8), a9), a10), a11), a12), a13), a14), a15), a16), a17), a18), a19), a20), a21), a22) })
def apply[B](f1: (A1, A2, A3, A4, A5, A6, A7, A8, A9, A10, A11, A12, A13, A14, A15, A16, A17, A18, A19, A20, A21, A22) => B, f2: B => (A1, A2, A3, A4, A5, A6, A7, A8, A9, A10, A11, A12, A13, A14, A15, A16, A17, A18, A19, A20, A21, A22))(implicit fu: InvariantFunctor[M]): M[B] =
fu.inmap[A1 ~ A2 ~ A3 ~ A4 ~ A5 ~ A6 ~ A7 ~ A8 ~ A9 ~ A10 ~ A11 ~ A12 ~ A13 ~ A14 ~ A15 ~ A16 ~ A17 ~ A18 ~ A19 ~ A20 ~ A21 ~ A22, B](
canBuild(m1, m2), { case a1 ~ a2 ~ a3 ~ a4 ~ a5 ~ a6 ~ a7 ~ a8 ~ a9 ~ a10 ~ a11 ~ a12 ~ a13 ~ a14 ~ a15 ~ a16 ~ a17 ~ a18 ~ a19 ~ a20 ~ a21 ~ a22 => f1(a1, a2, a3, a4, a5, a6, a7, a8, a9, a10, a11, a12, a13, a14, a15, a16, a17, a18, a19, a20, a21, a22) },
(b: B) => { val (a1, a2, a3, a4, a5, a6, a7, a8, a9, a10, a11, a12, a13, a14, a15, a16, a17, a18, a19, a20, a21, a22) = f2(b); new ~(new ~(new ~(new ~(new ~(new ~(new ~(new ~(new ~(new ~(new ~(new ~(new ~(new ~(new ~(new ~(new ~(new ~(new ~(new ~(new ~(a1, a2), a3), a4), a5), a6), a7), a8), a9), a10), a11), a12), a13), a14), a15), a16), a17), a18), a19), a20), a21), a22) }
)
def join[A >: A1](implicit witness1: <:<[A, A1], witness2: <:<[A, A2], witness3: <:<[A, A3], witness4: <:<[A, A4], witness5: <:<[A, A5], witness6: <:<[A, A6], witness7: <:<[A, A7], witness8: <:<[A, A8], witness9: <:<[A, A9], witness10: <:<[A, A10], witness11: <:<[A, A11], witness12: <:<[A, A12], witness13: <:<[A, A13], witness14: <:<[A, A14], witness15: <:<[A, A15], witness16: <:<[A, A16], witness17: <:<[A, A17], witness18: <:<[A, A18], witness19: <:<[A, A19], witness20: <:<[A, A20], witness21: <:<[A, A21], witness22: <:<[A, A22], fu: ContravariantFunctor[M]): M[A] =
apply[A]((a: A) => (a: A1, a: A2, a: A3, a: A4, a: A5, a: A6, a: A7, a: A8, a: A9, a: A10, a: A11, a: A12, a: A13, a: A14, a: A15, a: A16, a: A17, a: A18, a: A19, a: A20, a: A21, a: A22))(fu)
def reduce[A >: A1, B](implicit witness1: <:<[A1, A], witness2: <:<[A2, A], witness3: <:<[A3, A], witness4: <:<[A4, A], witness5: <:<[A5, A], witness6: <:<[A6, A], witness7: <:<[A7, A], witness8: <:<[A8, A], witness9: <:<[A9, A], witness10: <:<[A10, A], witness11: <:<[A11, A], witness12: <:<[A12, A], witness13: <:<[A13, A], witness14: <:<[A14, A], witness15: <:<[A15, A], witness16: <:<[A16, A], witness17: <:<[A17, A], witness18: <:<[A18, A], witness19: <:<[A19, A], witness20: <:<[A20, A], witness21: <:<[A21, A], witness22: <:<[A22, A], fu: Functor[M], reducer: Reducer[A, B]): M[B] =
apply[B]((a1: A1, a2: A2, a3: A3, a4: A4, a5: A5, a6: A6, a7: A7, a8: A8, a9: A9, a10: A10, a11: A11, a12: A12, a13: A13, a14: A14, a15: A15, a16: A16, a17: A17, a18: A18, a19: A19, a20: A20, a21: A21, a22: A22) => reducer.append(reducer.append(reducer.append(reducer.append(reducer.append(reducer.append(reducer.append(reducer.append(reducer.append(reducer.append(reducer.append(reducer.append(reducer.append(reducer.append(reducer.append(reducer.append(reducer.append(reducer.append(reducer.append(reducer.append(reducer.append(reducer.unit(a1: A), a2: A), a3: A), a4: A), a5: A), a6: A), a7: A), a8: A), a9: A), a10: A), a11: A), a12: A), a13: A), a14: A), a15: A), a16: A), a17: A), a18: A), a19: A), a20: A), a21: A), a22: A))(fu)
def tupled(implicit v: VariantExtractor[M]): M[(A1, A2, A3, A4, A5, A6, A7, A8, A9, A10, A11, A12, A13, A14, A15, A16, A17, A18, A19, A20, A21, A22)] =
v match {
case FunctorExtractor(fu) => apply { (a1: A1, a2: A2, a3: A3, a4: A4, a5: A5, a6: A6, a7: A7, a8: A8, a9: A9, a10: A10, a11: A11, a12: A12, a13: A13, a14: A14, a15: A15, a16: A16, a17: A17, a18: A18, a19: A19, a20: A20, a21: A21, a22: A22) => (a1, a2, a3, a4, a5, a6, a7, a8, a9, a10, a11, a12, a13, a14, a15, a16, a17, a18, a19, a20, a21, a22) }(fu)
case ContravariantFunctorExtractor(fu) => apply[(A1, A2, A3, A4, A5, A6, A7, A8, A9, A10, A11, A12, A13, A14, A15, A16, A17, A18, A19, A20, A21, A22)] { (a: (A1, A2, A3, A4, A5, A6, A7, A8, A9, A10, A11, A12, A13, A14, A15, A16, A17, A18, A19, A20, A21, A22)) => (a._1, a._2, a._3, a._4, a._5, a._6, a._7, a._8, a._9, a._10, a._11, a._12, a._13, a._14, a._15, a._16, a._17, a._18, a._19, a._20, a._21, a._22) }(fu)
case InvariantFunctorExtractor(fu) => apply[(A1, A2, A3, A4, A5, A6, A7, A8, A9, A10, A11, A12, A13, A14, A15, A16, A17, A18, A19, A20, A21, A22)]({ (a1: A1, a2: A2, a3: A3, a4: A4, a5: A5, a6: A6, a7: A7, a8: A8, a9: A9, a10: A10, a11: A11, a12: A12, a13: A13, a14: A14, a15: A15, a16: A16, a17: A17, a18: A18, a19: A19, a20: A20, a21: A21, a22: A22) => (a1, a2, a3, a4, a5, a6, a7, a8, a9, a10, a11, a12, a13, a14, a15, a16, a17, a18, a19, a20, a21, a22) }, { (a: (A1, A2, A3, A4, A5, A6, A7, A8, A9, A10, A11, A12, A13, A14, A15, A16, A17, A18, A19, A20, A21, A22)) => (a._1, a._2, a._3, a._4, a._5, a._6, a._7, a._8, a._9, a._10, a._11, a._12, a._13, a._14, a._15, a._16, a._17, a._18, a._19, a._20, a._21, a._22) })(fu)
}
}
class CustomCanBuild23[A1, A2, A3, A4, A5, A6, A7, A8, A9, A10, A11, A12, A13, A14, A15, A16, A17, A18, A19, A20, A21, A22, A23](m1: M[A1 ~ A2 ~ A3 ~ A4 ~ A5 ~ A6 ~ A7 ~ A8 ~ A9 ~ A10 ~ A11 ~ A12 ~ A13 ~ A14 ~ A15 ~ A16 ~ A17 ~ A18 ~ A19 ~ A20 ~ A21 ~ A22], m2: M[A23]) {
}
}
and then by providing your own FunctionalBuilderOps
instance:
implicit def customToFunctionalBuilderOps[M[_], A](a: M[A])(implicit fcb: FunctionalCanBuild[M]) = new CustomFunctionalBuilderOps[M, A](a)(fcb)
Finally, regarding the first point, I have sent a pull request to try to simplify the current implementation.