我想比较两个具有相同列的dfs，我只需要在df 1中添加一列last_change_date，它将通过df 2 last_change_date添加。
示例框：-

data_df = [("John", 25, "Male", "Engineer", 1),
           ("Alice", 30, "Female", "Doctor", 2)]
data_df2 = [("1","John", 25, "Male", "Engineer", "2023-01-01"),
              ("2","Alice", 30, "Female", "Doctor", "2023-01-02")]

字符串
我正在尝试这个代码：

def compare_dataframes(df1, df2, key_fields):
    df1_aliases = [col(f"{field}").alias(f"{field}_df1") for field in df1.columns if field not in key_fields]
    df2_aliases = [col(f"{field}").alias(f"{field}_df2") for field in df2.columns if field not in key_fields]
    join_conditions = [col(f"{field}_df1") == col(f"{field}_df2") for field in key_fields]
    result_df = df1.select(*df1.columns, *df1_aliases).alias("df1").join(
        df2.select(*df2.columns, *df2_aliases).alias("df2"),
        on=join_conditions,
        how="inner"
    )
    for field in df1.columns:
        if field not in key_fields:
            result_df = result_df.withColumn(
                f"last_change_date_{field}",
                when(
                    (col(f"{field}_df1") != col(f"{field}_df2")) | col(f"last_change_date_{field}_df1").isNull(),
                    current_timestamp()
                ).otherwise(col(f"last_change_date_{field}_df2"))
            )
    return result_df

型
但我无法通过字段进行验证，我尝试使用别名，但它给出了错误：-

[UNRESOLVED_COLUMN.WITH_SUGGESTION] A column or function parameter with name `Key_df1` cannot be resolved. Did you mean one of the following? [`df1`.`Age`, `df2`.`Age`, `df1`.`Age_df1`, `df1`.`Key`, `df2`.`Key`].;
'Join Inner, ('Key_df1 = 'Key_df2)
:- SubqueryAlias df1
:  +- Project [Name#6424, Age#6425L, Key#6428L, Name#6424 AS Name_df1#6483, Age#6425L AS Age_df1#6484L]
:     +- Project [Name#6424, Age#6425L, Key#6428L]
:        +- LogicalRDD [Name#6424, Age#6425L, Gender#6426, Occupation#6427, Key#6428L], false
+- SubqueryAlias df2
   +- Project [Key#6434, Name#6435, Age#6436L, last_change_date#6439, Name#6435 AS Name_df2#6485, Age#6436L AS Age_df2#6486L, last_change_date#6439 AS last_change_date_df2#6487]
      +- Project [Key#6434, Name#6435, Age#6436L, last_change_date#6439]
         +- LogicalRDD [Key#6434, Name#6435, Age#6436L, Gender#6437, Occupation#6438, last_change_date#6439], false.

型
我怎样才能得到想要的结果。