我有一个包含3列的数据框
| str1 | array_of_str1 | array_of_str2 |
+-----------+----------------------+----------------+
| John | [Size, Color] | [M, Black] |
| Tom | [Size, Color] | [L, White] |
| Matteo | [Size, Color] | [M, Red] |
我要添加包含结构类型为3列的Array列
| str1 | array_of_str1 | array_of_str2 | concat_result |
+-----------+----------------------+----------------+-----------------------------------------------+
| John | [Size, Color] | [M, Black] | [[[John, Size , M], [John, Color, Black]]] |
| Tom | [Size, Color] | [L, White] | [[[Tom, Size , L], [Tom, Color, White]]] |
| Matteo | [Size, Color] | [M, Red] | [[[Matteo, Size , M], [Matteo, Color, Red]]] |
答案 0 :(得分:0)
对于动态值,您可以使用 high-order functions:
import pyspark.sql.functions as f
expr = "TRANSFORM(arrays_zip(array_of_str1, array_of_str2), x -> struct(str1, concat(x.array_of_str1), concat(x.array_of_str2)))"
df = df.withColumn('concat_result', f.expr(expr))
df.show(truncate=False)
架构和输出:
root
|-- array_of_str1: array (nullable = true)
| |-- element: string (containsNull = true)
|-- array_of_str2: array (nullable = true)
| |-- element: string (containsNull = true)
|-- str1: string (nullable = true)
|-- concat_result: array (nullable = true)
| |-- element: struct (containsNull = false)
| | |-- str1: string (nullable = true)
| | |-- col2: string (nullable = true)
| | |-- col3: string (nullable = true)
+-------------+-------------+------+-----------------------------------------+
|array_of_str1|array_of_str2|str1 |concat_result |
+-------------+-------------+------+-----------------------------------------+
|[Size, Color]|[M, Black] |John |[[John, Size, M], [John, Color, Black]] |
|[Size, Color]|[L, White] |Tom |[[Tom, Size, L], [Tom, Color, White]] |
|[Size, Color]|[M, Red] |Matteo|[[Matteo, Size, M], [Matteo, Color, Red]]|
+-------------+-------------+------+-----------------------------------------+