如何将嵌套列添加到DataFrame [英] How to add a nested column to a DataFrame

问题描述

我有一个具有以下架构的数据框df:

I have a dataframe df with the following schema:

root
 |-- city_name: string (nullable = true)
 |-- person: struct (nullable = true)
 |    |-- age: long (nullable = true)
 |    |-- name: string (nullable = true)

我想做的是在我的person结构中添加一个嵌套列，例如car_brand.我该怎么办?

What I want to do is add a nested column, say car_brand to my person structure. How would I do it?

预期的最终模式如下:

root
 |-- city_name: string (nullable = true)
 |-- person: struct (nullable = true)
 |    |-- age: long (nullable = true)
 |    |-- name: string (nullable = true)
 |    |-- car_brand: string (nullable = true)

推荐答案

您可以解压缩该结构并将其添加到新的结构中，包括同时添加新的列.例如，将"bmw"添加到数据框中的所有用户都是这样的:

You can unpack the struct and add it to a new one, including the new column at the same time. For example, adding "bmw" to all persons in the dataframe be done like this:

df.withColumn("person", struct($"person.*", lit("bmw").as("car_brand")))

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