如何为每个其他列创建一系列事件（列值）？

debugcn 发表于 Dev

回归器

我有一个 Spark 数据框，如下所示 -

val myDF = Seq(
(1,"A",100,0,0),
(1,"E",200,0,0),
(1,"",300,1,49),
(2,"A",200,0,0),
(2,"C",300,0,0),
(2,"D",100,0,0)
).toDF("visitor","channel","timestamp","purchase_flag","amount")


scala> myDF.show
+-------+-------+---------+-------------+------+
|visitor|channel|timestamp|purchase_flag|amount|
+-------+-------+---------+-------------+------+
|      1|      A|      100|            0|     0|
|      1|      E|      200|            0|     0|
|      1|       |      300|            1|    49|
|      2|      A|      200|            0|     0|
|      2|      C|      300|            0|     0|
|      2|      D|      100|            0|     0|
+-------+-------+---------+-------------+------+

我想为每个访问者创建 Sequence 数据框，myDF以便跟踪访问者按timestamp维度订购的购买路径。输出数据帧应如下所示（->可以是任何分隔符）-

+-------+---------------------+
|visitor|channel sequence     |
+-------+---------------------+
|      1| A->E->purchase      |
|      2| D->A->C->no_purchase|
+-------+---------------------+

为了清楚起见，visitor2已经暴露于 channel D，然后A，然后C；他没有购买。因此该序列将形成为D->A-C->no_purchase。

注意：每当发生进货，渠道价值远远blank并且purchase_flag设置为1。

我想Scala UDF在 Spark 中使用 a 来做到这一点，以便我在其他数据集上重新应用该方法。

拉梅什·马哈詹

这是使用udf函数完成的方法

val myDF = Seq(
  (1,"A",100,0,0),
  (1,"E",200,0,0),
  (1,"",300,1,49),
  (2,"A",200,0,0),
  (2,"C",300,0,0),
  (2,"D",100,0,0)
).toDF("visitor","channel","timestamp","purchase_flag","amount")

import org.apache.spark.sql.functions._
def sequenceUdf = udf((struct: Seq[Row], purchased: Seq[Int])=> struct.map(row => (row.getAs[String]("channel"), row.getAs[Int]("timestamp"))).sortBy(_._2).map(_._1).filterNot(_ == "").mkString("->")+{if(purchased.contains(1)) "->purchase" else "->no_purchase"})

myDF.groupBy("visitor").agg(collect_list(struct("channel", "timestamp")).as("struct"), collect_list("purchase_flag").as("purchased"))
  .select(col("visitor"), sequenceUdf(col("struct"), col("purchased")).as("channel sequence"))
  .show(false)

这应该给你

+-------+--------------------+
|visitor|channel sequence    |
+-------+--------------------+
|1      |A->E->purchase      |
|2      |D->A->C->no_purchase|
+-------+--------------------+

您可以使其尽可能通用。这只是关于您应该如何进行的演示

本文收集自互联网，转载请注明来源。

如有侵权，请联系[email protected] 删除。