是否有Spark SQL唯一的解决方案将强制转换应用于复杂的列(map，struct)

from pyspark.sql import SparkSession

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

# 创建示例数据
data = [("John", {"age": 25, "city": "New York"}), 
        ("Alice", {"age": 30, "city": "San Francisco"})]
df = spark.createDataFrame(data, ["name", "info"])

# 使用selectExpr函数和内置函数进行强制转换
df = df.selectExpr("name", "CAST(info AS STRING) AS info_str")

# 显示结果
df.show(truncate=False)