我正在使用全日历3.10.0。我需要从数据库背面的全日历保存数据。要以小时为单位保存活动，您需要以以下格式设置日期和时间“ 2019-01-08T05：00”，并指示该活动不是全天。
我的json：
scala> val df = Seq((196,242,3,881250949),(186,302,3,891717742),(22,377,1,878887116),(244,51,2,880606923),(166,346,1,886397596)).toDF("userid","movieid","rating","unixtimestamp")
df: org.apache.spark.sql.DataFrame = [userid: int, movieid: int ... 2 more fields]
scala> df.show(false)
+------+-------+------+-------------+
|userid|movieid|rating|unixtimestamp|
+------+-------+------+-------------+
|196 |242 |3 |881250949 |
|186 |302 |3 |891717742 |
|22 |377 |1 |878887116 |
|244 |51 |2 |880606923 |
|166 |346 |1 |886397596 |
+------+-------+------+-------------+
scala> import org.apache.spark.sql.expressions._
import org.apache.spark.sql.expressions._
scala> val df2 = df.withColumn("total_rating",sum('rating).over())
df2: org.apache.spark.sql.DataFrame = [userid: int, movieid: int ... 3 more fields]
scala> df2.show(false)
19/01/23 08:38:46 WARN window.WindowExec: No Partition Defined for Window operation! Moving all data to a single partition, this can cause serious performance degradation.
+------+-------+------+-------------+------------+
|userid|movieid|rating|unixtimestamp|total_rating|
+------+-------+------+-------------+------------+
|22 |377 |1 |878887116 |10 |
|244 |51 |2 |880606923 |10 |
|166 |346 |1 |886397596 |10 |
|196 |242 |3 |881250949 |10 |
|186 |302 |3 |891717742 |10 |
+------+-------+------+-------------+------------+
scala> df2.withColumn("wa_rating",coalesce( when('rating >= 3,'rating),lit(0))/'total_rating).show(false)
19/01/23 08:47:49 WARN window.WindowExec: No Partition Defined for Window operation! Moving all data to a single partition, this can cause serious performance degradation.
+------+-------+------+-------------+------------+---------+
|userid|movieid|rating|unixtimestamp|total_rating|wa_rating|
+------+-------+------+-------------+------------+---------+
|22 |377 |1 |878887116 |10 |0.0 |
|244 |51 |2 |880606923 |10 |0.0 |
|166 |346 |1 |886397596 |10 |0.0 |
|196 |242 |3 |881250949 |10 |0.3 |
|186 |302 |3 |891717742 |10 |0.3 |
+------+-------+------+-------------+------------+---------+
scala>
要仅在几天内保存事件，您需要带日期且没有时间且allDay为true的json：
[ { "eventId" : 63,
"title" : "test 1",
"eventType" : 5,
"start" : "2019-01-08T02:00",
"end" : "2019-01-08T06:00",
"color" : null,
"allDay" : false } ]
我尝试找到一些诸如eventDragStart或eventDrop之类的操作，它们提供有关事件的信息，然后将其拖动，但没有找到。
在我看来，最可能的决定是，当您将事件从几个小时重新安排到一天并返回到“周”选项卡时，应该出现某种触发。我可以使用此触发器在数据库中进行更正。