Question

我在代码中看到了一个常见的模式。我已经从数据库中排序结果，我需要在嵌套结构中发出它们。我想要这个流，所以我想一次在内存中记录少量记录。使用TravesableLike.groupBy假设数据没有排序，所以它不必要地填充可变映射。我想保持这种真正的流媒体。 scalaz-stream在这里有用吗？

val sql = """select grandparent_id, parent_id, child_id
  from children
  where grandparent_id = ?
  order by grandparent_id, parent_id, child_id"""

def elementsR[P, R](invoker: Invoker[P, R], param: P): Process[Task, R] =
  // Invoker.elements returns trait CloseableIterator[+T] extends Iterator[T] with Closeable
  resource(Task.delay(invoker.elements(param)))(
    src => Task.delay(src.close)) { src =>
      Task.delay { if (src.hasNext) src.next else throw End }
  }

def dbWookie {
  // grandparent_id, (grandparent_id, parent_id, child_id)
  val invoker = Q.query[Int, (Int, Int, Int)](sql)
  val es = elementsR(invoker, 42)

  // ?, ?, ?

  // nested emits (42, ((35, (1, 3, 7)), (36, (8, 9, 12))))
}

我没有在Process上看到像foldLeft和scanLeft这样的函数太多，所以我不确定如何检测grandparent_id，parent_id或child_id何时更改并发出组。有什么想法吗？

Answer 1

我认为你想要的东西与chunkBy类似。只要谓词函数的结果从chunkBy翻转到true，false就会发出一个块。

您可以通过比较布尔值，比较输入的某些任意函数的结果来概括这一点。因此，只要应用于输入的此函数的值发生更改，您就会有一个发出块的进程：

def chunkOn[I, A](f: I => A): Process1[I, Vector[I]] = {
  def go(acc: Vector[I], last: A): Process1[I,Vector[I]] =
    await1[I].flatMap { i =>
      val cur = f(i)
      if (cur != last) emit(acc) then go(Vector(i), cur)
      else go(acc :+ i, cur)
    } orElse emit(acc)
  await1[I].flatMap(i => go(Vector(i), f(i)))
}

REPL中的快速脏测试，使用Identity monad立即强制评估：

scala> import scalaz.stream._, scalaz.Id._
import scalaz.stream._
import scalaz.Id._

scala> val rows = Seq(('a, 'b, 'c), ('a, 'b, 'd), ('b, 'a, 'c), ('b, 'd, 'a))
rows: Seq[(Symbol, Symbol, Symbol)] = List(('a,'b,'c), ('a,'b,'d), ('b,'a,'c), ('b,'d,'a))

scala> val process = Process.emitSeq[Id, (Symbol, Symbol, Symbol)](rows)
process: scalaz.stream.Process[scalaz.Id.Id,(Symbol, Symbol, Symbol)] =
  Emit(List(('a,'b,'c), ('a,'b,'d), ('b,'a,'c), ('b,'d,'a)),Halt(scalaz.stream.Process$End$))

scala> process |> chunkOn(_._1)
res4: scalaz.stream.Process[scalaz.Id.Id,scala.collection.immutable.Vector[(Symbol, Symbol, Symbol)]] =
  Emit(List(Vector(('a,'b,'c), ('a,'b,'d))),Emit(List(Vector(('b,'a,'c), ('b,'d,'a))),Halt(scalaz.stream.Process$End$)))

根据您的建议，chunkWhen使用超过当前值和最后值的谓词，并在评估为false时发出一个块。

def chunkWhen[I](f: (I, I) => Boolean): Process1[I, Vector[I]] = {
  def go(acc: Vector[I]): Process1[I,Vector[I]] =
    await1[I].flatMap { i =>
      acc.lastOption match {
        case Some(last) if ! f(last, i) => emit(acc) then go(Vector(i))
        case _ => go(acc :+ i)
      }
    } orElse emit(acc)
  go(Vector())
}

尝试一下：

scala> process |> chunkWhen(_._1 == _._1)
res0: scalaz.stream.Process[scalaz.Id.Id,Vector[(Symbol, Symbol, Symbol)]] =
  Emit(List(Vector(('a,'b,'c), ('a,'b,'d))),Emit(List(Vector(('b,'a,'c), ('b,'d,'a))),Halt(scalaz.stream.Process$End$)))

Scalaz流组对数据库结果进行了排序

1 个答案: