1.数据集
+---+----------+
|id |login_date|
+---+----------+
|01 |2021-02-28|
|01 |2021-03-01|
|01 |2021-03-02|
|01 |2021-03-04|
|01 |2021-03-05|
|01 |2021-03-06|
|01 |2021-03-08|
|02 |2021-03-01|
|02 |2021-03-02|
|02 |2021-03-03|
|02 |2021-03-06|
|03 |2021-03-06|
+---+----------+
以"连续登录"中的数据为例：
select id,
concat_ws(',',collect_list(login_date)) cw
from data
group by id;
结果：
+---+----------------------------------------------------------------------------+
|id |cw |
+---+----------------------------------------------------------------------------+
|01 |2018-02-28,2018-03-01,2018-03-02,2018-03-04,2018-03-05,2018-03-06,2018-03-08|
|02 |2018-03-01,2018-03-02,2018-03-03,2018-03-06 |
|03 |2018-03-06 |
+---+----------------------------------------------------------------------------+
以上面SQL生成的数据为基准，执行下列SQL：
select id, login_date
from t
lateral view explode(split(cw,',')) b AS login_date;
结果：
+---+----------+
|id |login_date|
+---+----------+
|01 |2018-02-28|
|01 |2018-03-01|
|01 |2018-03-02|
|01 |2018-03-04|
|01 |2018-03-05|
|01 |2018-03-06|
|01 |2018-03-08|
|02 |2018-03-01|
|02 |2018-03-02|
|02 |2018-03-03|
|02 |2018-03-06|
|03 |2018-03-06|
+---+----------+
到此这篇关于SQL行转列与列转行的文章就介绍到这了,更多相关SQL行转列与列转行内容请搜索软件开发网以前的文章或继续浏览下面的相关文章希望大家以后多多支持软件开发网！