我正在努力编写一种最有效的编写sql查询的方法,即消除每个人的max(day)。我试过where where day < max(day)
,但我们的hadoop环境不允许这样做。
基本上,目标是选择在过去570天内切换到同一供应商的具有相同类型电话的人。
对table1
查询部分的任何建议?
with table2 as
(select listener_id, device_id, max(day) day from
devicetable b
where vendor_id = 42
and category = 'something'
group by listener_id, device_id, day) -- max day for each person
,table1 as
(select listener_id, device_id, ROW_NUMBER () over (PARTITION BY listener_id, device_id order by day desc) rowno from
(select listener_id, device_id, day from devicetable
where vendor_id=42 and category = 'something'
group by listener_id, device_id, day)
where rowno <> 1)
insert into finaltable
select a.listener_id
from table1 a
left join
table2 b
on a.listener_id = b.listener_id
where datediff (a.day, b.day) <=570 and a.day <= b.day -- setting the difference
and a.device_id <> b.device_id
and b.listener_id is not null; ```
只是对您的部分代码的第一个建议
如果你想要最大的一天,你不应该提到分组的日期
select listener_id, device_id, max(day) day
from devicetable b
where vendor_id = 42
and category = 'something'
group by listener_id, device_id
它是指数据库列还是引用最大值的别名
尝试这样的事情:
SELECT listener_id, device_id, day FROM devicetable AS A
LEFT OUTER JOIN (SELECT listener_id, Max(Day) AS MaxDate FROM devicetable GROUP BY listener_id) AS B ON A.listener_id=B.listener_id AND A.day=B.MaxDate
WHERE B.listener_id IS NULL
它将返回除每个侦听器的最大日期之外的所有行。