1

我正在使用 spark sql 加入三个表，但是我得到了多个列条件的错误。

test_table = (T1.join(T2,T1.dtm == T2.kids_dtm, "inner")
          .join(T3, T3.kids_dtm == T1.dtm
                and T2.room_id == T3.room_id
                and T2.book_id == T3.book_id, "inner"))

错误：

  Traceback (most recent call last):
  File "<stdin>", line 4, in <module>
  File "/opt/cloudera/parcels/CDH-5.7.0-1.cdh5.7.0.p0.45/lib/spark/python/pyspark/sql/column.py", line 447, in __nonzero__
    raise ValueError("Cannot convert column into bool: please use '&' for 'and', '|' for 'or', "
ValueError: Cannot convert column into bool: please use '&' for 'and', '|' for 'or', '~' for 'not' when building DataFrame boolean expressions.

我没有指定“and”，而是尝试放置“&”和“&&”，但这些都不起作用。任何帮助，将不胜感激。

4

1 回答 1

3

Nvm，以下使用“&”和括号：

test_table = (T1.join(T2,T1.dtm == T2.kids_dtm, "inner")
      .join(T3, (T3.kids_dtm == T1.dtm)
            & (T2.room_id == T3.room_id)
            & (T2.book_id == T3.book_id), "inner"))
于 2016-05-25T21:54:59.507 回答