如何在Spark中将结构数组拆分成列？

from pyspark.sql import SparkSession
from pyspark.sql.functions import explode

# 创建SparkSession
spark = SparkSession.builder.getOrCreate()

# 创建示例数据
data = [(1, ["apple", "banana", "orange"]), (2, ["cat", "dog"]), (3, ["car", "bike", "bus", "train"])]
df = spark.createDataFrame(data, ["id", "fruits"])

# 使用explode()函数拆分结构数组
df_exploded = df.select("id", explode("fruits").alias("fruit"))

# 显示结果
df_exploded.show()

+---+------+
| id| fruit|
+---+------+
|  1| apple|
|  1|banana|
|  1|orange|
|  2|   cat|
|  2|   dog|
|  3|   car|
|  3|  bike|
|  3|   bus|
|  3| train|
+---+------+