sql - 窗口功能的默认窗口框架是什么

Question

运行以下代码:

val sales = Seq(
  (0, 0, 0, 5),
  (1, 0, 1, 3),
  (2, 0, 2, 1),
  (3, 1, 0, 2),
  (4, 2, 0, 8),
  (5, 2, 2, 8))
  .toDF("id", "orderID", "prodID", "orderQty")

val orderedByID = Window.orderBy('id)

val totalQty = sum('orderQty).over(orderedByID).as('running_total)
val salesTotalQty = sales.select('*, totalQty).orderBy('id)
salesTotalQty.show

结果是:

+---+-------+------+--------+-------------+
| id|orderID|prodID|orderQty|running_total|
+---+-------+------+--------+-------------+
|  0|      0|     0|       5|            5|
|  1|      0|     1|       3|            8|
|  2|      0|     2|       1|            9|
|  3|      1|     0|       2|           11|
|  4|      2|     0|       8|           19|
|  5|      2|     2|       8|           27|
+---+-------+------+--------+-------------+

上面的代码中没有定义窗口框架，它看起来默认的窗口框架是 rowsBetween(Window.unboundedPreceding, Window.currentRow)
不确定我对默认窗口框架的理解是否正确

Answer 1

从Spark Gotchas

Default frame specification depends on other aspects of a given window defintion:

• if the ORDER BY clause is specified and the function accepts the frame specification, then the frame specification is defined by RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW,
• otherwise the frame specification is defined by ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING.