输入表
user id action date collection
aaa 1 view 2020-09-01 {some JSON data_1}
aaa 1 view 2020-09-02 {some JSON data_2}
aaa 1 view 2020-09-03 {some JSON data_3}
bbb 2 view 2020-09-08 {some JSON data_22}
bbb 2 view 2020-09-09 {some JSON data_23}
ccc 2 view 2020-09-01 {some JSON data_99}
ddd 3 view 2020-09-01 {some JSON data_88}
输出表
user id action date collection
aaa 1 view 2020-09-01 {some JSON data_1}
bbb 2 view 2020-09-08 {some JSON data_22}
ccc 2 view 2020-09-01 {some JSON data_99}
ddd 3 view 2020-09-01 {some JSON data_88}
如果我们看到输入表和输出表,
我想要类似于这个
group by (user,id,action) then i need min(date) and corresponding collection value
有人能提出一个想法吗
一个选项是使用子查询:
select t.*
from mytable t
where t.date = (
select min(t1.date) from mytable t1 where t1.user = t.user
)
另一种解决方案是使用窗口函数对具有相同user
和date
的记录进行排序,然后使用该信息过滤结果集:
select *
from (
select t.*, row_number() over(partition by user order by date) rn
from mytable t
) t
where rn = 1