Question

我正在做很长的查询，以查找在某些日期具有特定条件的客户，在这种情况下，'2019-6-20'，查询就是这样

这是我的代码

select current_date() as date , count(customer_id) as cell13
from(
select customer_id, count(id) as total, string_agg(payment_state order by created_at desc limit 1) as cek
from(
select distinct(A.id), A.customer_id, extract(month from A.created_at) as months,extract(day from A.created_at) as days, extract(year from A.created_at) as years, payment_state, A.created_at, A.grandtotal_cents
from bl.orders as A
left join bl.blacklists as B
on A.customer_id = B.customer_id
where date(A.created_at) >= date_sub(date('2019-6-20') , interval 60 day) and grandtotal_cents > 0 and B.customer_id is null
)
group by customer_id
having cek = "unpaid")

这是结果

Row  date          cell13
1    2019-06-21    696

现在，我需要查询特定日期范围内的多个日期，例如2019-03-23至2019-06-21。我该怎么做，所以输出会喜欢

Row  date          cell13
1    2019-06-21    696
...
90   2019-03-23    ...

Answer 1

您可以使用generate_date_array()和unnest()生成日期表，然后将其与left join一起使用。

总的来说，您的查询是一条难以理解的消息，但这是个主意：

with dates as (
      select dte
      from (select generate_date_array('2019-03-23', '2016-06-21', interval 1 day) d
           ) d cross join
           unnest(d.d) dte
     )
select . . .
from dates left join
     bl.orders o
     on date(o.created_at) >= date_sub(dte, interval 60 day)
     . . .

如何在Google Big Query的特定范围内的多个日期进行查询

1 个答案: