date_add(a.Order_date,4,"Hour") > "2018-03-27 15:00:00"
是在我每天运行的查询中提取数据的标准。所以基本上,我希望每天只有一天改变但是休息一样。 有人可以帮忙吗?
SELECT
a.order as Order_Number,unique(b.status_name) as Status,
date_add(a.Order_date,4,"Hour") as Ordered_Date,
date_add(a.Export_date,4,"Hour") as Exported_Date,
date_add(a.Dispatch_date,4,"Hour") as Dispatched_Date
FROM
[ops_views.Order_Timeline] as a
left join [ops_views.sales_order_item] as b
ON a.Order=b.order_nr
WHERE
LEFT(a.Order,2)="AE" AND
date_add(a.Order_date,4,"Hour") > "2018-03-26 15:00:00" AND
date_add(a.Order_date,4,"Hour") <= "2018-03-27 15:00:00" and
b.status_name not in ("test_invalid","invalid","canceled","canceled_exportable")
GROUP BY 1,3,4,5,
答案 0 :(得分:2)
所以,如果(例如)你需要在昨天下午3点到前天下午3点之间的时间段内过滤数据 - 你可以使用类似下面的内容(BigQuery Standard SQL)
AND DATE_ADD(a.Order_date,4,"Hour") >
FORMAT_DATE('%Y-%m-%d 15:00:00', DATE_SUB(CURRENT_DATE(), INTERVAL 2 DAY))
AND DATE_ADD(a.Order_date,4,"Hour") <=
FORMAT_DATE('%Y-%m-%d 15:00:00', DATE_SUB(CURRENT_DATE(), INTERVAL 1 DAY))