如何将PySpark管道rdd (元组中的元组)转换为数据帧？

from pyspark.sql import SparkSession
from pyspark.sql.types import StructType, StructField, StringType

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

# 定义RDD
rdd = spark.sparkContext.parallelize([((1, 'Alice'), (2, 'Bob')), ((3, 'Charlie'), (4, 'David'))])

# 定义模式
schema = StructType([
    StructField('col1', StructType([
        StructField('id', StringType()),
        StructField('name', StringType())
    ])),
    StructField('col2', StructType([
        StructField('id', StringType()),
        StructField('name', StringType())
    ]))
])

# 将RDD转换为DataFrame
df = spark.createDataFrame(rdd, schema)

# 显示DataFrame
df.show()