如何在 spark scala 中使用带有 2 列的 array_contains? [英] How to use array_contains with 2 columns in spark scala?

问题描述

我有一个问题，我想检查一个字符串数组是否包含另一列中存在的字符串.我目前正在使用以下代码，但出现错误.

I have an issue , I want to check if an array of string contains string present in another column . I am currently using below code which is giving an error.

.withColumn("is_designer_present", when(array_contains(col("list_of_designers"),$"dept_resp"),1).otherwise(0))

错误:

java.lang.RuntimeException: Unsupported literal type class org.apache.spark.sql.ColumnName dept_resp
  at org.apache.spark.sql.catalyst.expressions.Literal$.apply(literals.scala:77)

推荐答案

你可以编写一个 udf 函数来完成你的工作

you can write a udf function to get your job done

import org.apache.spark.sql.functions._
def stringContains = udf((array: collection.mutable.WrappedArray[String], str: String) => array.contains(str))
df.withColumn("is_designer_present", when(stringContains(col("list_of_designers"), $"dept_resp"),1).otherwise(0))

你可以从udf函数本身返回适当的值，这样你就不必使用when函数

You can return appropriate value from udf function itself so that you don't have to use when function

import org.apache.spark.sql.functions._
def stringContains = udf((array: collection.mutable.WrappedArray[String], str: String) => if (array.contains(str)) 1 else 0)
df.withColumn("is_designer_present", stringContains(col("list_of_designers"), $"dept_resp"))

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