如何使用来自另一个数据帧的随机值更新PySpark中的数据帧？

from pyspark.sql import functions as F
from pyspark.sql.window import Window

df1 = df1.withColumn("random_value", F.rand())

windowSpec = Window.orderBy(F.col("random_value"))
df1 = df1.withColumn("row_number", F.row_number().over(windowSpec))

windowSpec = Window.orderBy(F.col("random_value"))
df2 = df2.withColumn("row_number", F.row_number().over(windowSpec))

joined_df = df1.join(df2, df1.row_number == df2.row_number, "inner")

updated_df = joined_df.select(df1.col1, df1.col2, ..., df2.col1.alias("updated_col1"), df2.col2.alias("updated_col2"), ...)

updated_df = updated_df.drop("random_value", "row_number")