python - 连接后如何在 Pyspark Dataframe 中选择和排序多个列

Question

我想从现有数据框(在连接后创建)中选择多个列，并希望将这些字段排序为我的目标表结构。怎么做到呢 ？我使用的方法如下。在这里我可以选择需要但不能按顺序制作的必要列。

Required (Target Table structure) :
hist_columns = ("acct_nbr","account_sk_id", "zip_code","primary_state", "eff_start_date" ,"eff_end_date","eff_flag")

account_sk_df = hist_process_df.join(broadcast(df_sk_lkp) ,'acct_nbr','inner' )
account_sk_df_ld = account_sk_df.select([c for c in account_sk_df.columns if c in hist_columns])

>>> account_sk_df
DataFrame[acct_nbr: string, primary_state: string, zip_code: string, eff_start_date: string, eff_end_date: string, eff_flag: string, hash_sk_id: string, account_sk_id: int]


>>> account_sk_df_ld
DataFrame[acct_nbr: string, primary_state: string, zip_code: string, eff_start_date: string, eff_end_date: string, eff_flag: string, account_sk_id: int]

account_sk_id 需要排在第二位。执行此操作的最佳方法是什么？

Answer 1

尝试通过只给出一个列表来选择列，而不是通过迭代现有的列并且排序应该没问题:

account_sk_df_ld = account_sk_df.select(*hist_columns)