Apache Spark案例在不同的列上具有多个when子句

本文介绍了Apache Spark案例在不同的列上具有多个when子句的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！ 问题描述

给出以下结构:

val df = Seq("Color", "Shape", "Range","Size").map(Tuple1.apply).toDF("color") val df1 = df.withColumn("Success", when($"color"<=> "white", "Diamond").otherwise(0))

我想在上面再写一个WHEN条件，其中size> 10和Shape列 值是菱形，然后将钻石"值插入到其他列0中.我尝试如下操作，但失败了

I want to write one more WHEN condition at above where size > 10 and Shape column value is Rhombus then "Diamond" value should be inserted to the column else 0. I tried like below but it's failing

val df1 = df.withColumn("Success", when($"color" <=> "white", "Diamond").otherwise(0)).when($"size">10)

请只建议我在scala中使用dataframe选项.带有sqlContext的Spark-SQL对我没有帮助.

Please suggest me with only dataframe option with scala. Spark-SQL with sqlContext is not helpful idea for me.

谢谢！

推荐答案

您可以类似于 spark.apache/docs/latest/api/java/org/apache/spark/sql/Column.html#when-org.apache.spark.sql.Column-java.lang.Object- 自(1.4.0)起可用

You can chain the when similar to the example in spark.apache/docs/latest/api/java/org/apache/spark/sql/Column.html#when-org.apache.spark.sql.Column-java.lang.Object- available since (1.4.0)

// Scala: people.select(when(people("gender") === "male", 0) .when(people("gender") === "female", 1) .otherwise(2))

您的示例:

val df1 = df.withColumn("Success", when($"color" <=> "white", "Diamond") .when($"size" > 10 && $"shape" === "Rhombus", "Diamond") .otherwise(0))