Pyspark SQL用NULL替换元素

Question

我正在尝试编写一个sql查询以在pyspark中使用，以从pyspark df中清除信息。我要修改的df看起来像：

  hashed_customer     firstname    lastname    email   order_id    status          timestamp
      eater 1_uuid  1_firstname  1_lastname  1_email    12345    OPTED_IN     2020-05-14 20:45:15
      eater 2_uuid  2_firstname  2_lastname  2_email    23456    OPTED_IN     2020-05-14 20:29:22
      eater 3_uuid  3_firstname  3_lastname  3_email    34567    OPTED_IN     2020-05-14 19:31:55
      eater 4_uuid  4_firstname  4_lastname  4_email    45678    OPTED_IN     2020-05-14 17:49:27

我还有另一个需要从customer_temp_tb表中删除的客户的pyspark df，如下所示：

hashed_customer    eaterstatus
   eater 1_uuid      OPTED_OUT
   eater 3_uuid      OPTED_OUT

我正在尝试编写一个在pyspark中使用的SQL查询，如果客户在第二个表中，则该查询将从第一个表中删除名字，姓氏和电子邮件。有点像：

UPDATE customer_temp_tb
SET firstname="", lastname="", email=""
WHERE hashed_eater_uuid IN
(SELECT hashed_eater_uuid FROM opt_out_temp_tb)

这样最终结果将看起来像：

hashed_customer     firstname    lastname    email   order_id    status          timestamp
   eater 1_uuid           NaN         NaN      NaN    12345    OPTED_IN     2020-05-14 20:45:15
   eater 2_uuid   2_firstname  2_lastname  2_email    23456    OPTED_IN     2020-05-14 20:29:22
   eater 3_uuid           NaN         NaN      NaN    34567    OPTED_IN     2020-05-14 19:31:55
   eater 4_uuid   4_firstname  4_lastname  4_email    45678    OPTED_IN     2020-05-14 17:49:27

我似乎遇到的问题是pyspark不支持UPDATE。还有其他选择吗？

Answer 1

我认为，您可以将列更新为null或字符串空“”而不是delete。