如何在spark Dataset中保存嵌套或JSON对象并转换为RDD？

from pyspark.sql import SparkSession
from pyspark.sql.functions import col, struct

spark = SparkSession.builder.appName("NestedJSON").getOrCreate()

data = [
    ("John", {"age": 25, "city": "New York"}),
    ("Alice", {"age": 30, "city": "San Francisco"}),
    ("Bob", {"age": 35, "city": "Seattle"})
]

df = spark.createDataFrame(data, ["name", "info"])

json_ds = df.toJSON()

rdd = json_ds.rdd