Question

我有以下查询：

#standardSQL
SELECT distinct  (grand_total/months) AS avg, ((grand_total/days)) AS 
avg_day
FROM 
(select count(searchint.id) as Total, (DATE_DIFF(DATE ({{DATE_END}}), 
DATE ({{DATE_START}}), DAY)+1) AS days, ((12 * YEAR(TIMESTAMP({{DATE_END}})) + 
MONTH(TIMESTAMP({{DATE_END}}))) - (12 * YEAR(TIMESTAMP({{DATE_START}})) 
+ MONTH(TIMESTAMP({{DATE_START}}))) +1) AS months,
(select count(searchint.id) as Total
from `dbsearch`
where  cast(replace(searchint.createdDate,'Z','')as DateTime) >= 
cast({{DATE_START}} as DateTime)
and  cast(replace(searchint.createdDate,'Z','')as DateTime) <= 
cast(DATE_ADD(cast({{DATE_END}} as date),  Interval 1 day ) as DateTime)) AS grand_total
    from `dbsearch`
where  cast(replace(searchint.createdDate,'Z','')as DateTime) >= 
cast({{DATE_START}} as DateTime)
and  cast(replace(searchint.createdDate,'Z','')as DateTime) <= 
cast(DATE_ADD(cast({{DATE_END}} as date),  Interval 1 day ) as DateTime)
group by date(cast(replace(searchint.createdDate,'Z','')as DateTime))
ORDER BY 2 DESC) AS groupby

但是，当我尝试运行BigQuery时，出现以下错误：

未找到功能：YEAR年[5：180]

我了解这是因为我使用的是standardSQL，但是如何与使用standardSQL的月份区别开来？

Answer 1

BigQuery中的StandardSQL支持提取日期部分的ISO / ANSI标准函数。这是extract()：

您要

extract(year from <datecol>)
extract(month from <datecol>)

这在documentation中有解释。

Answer 2

要找出两个日期之间月份的差异，最好使用DATE_DIFF()

DATE_DIFF(DATE_END, DATE_START, MONTH)

与使用standardSQL（BigQuery）的月份相比，我该如何与众不同

2 个答案: