我如何使用standardSQL（BigQuery）来区别月份

我有以下疑问：

#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，会出现以下错误：

未找到函数：年份在[5:180]

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我知道这是因为我使用的是standardSQL，但是我如何才能使它与使用standardSQL的月份有所不同呢？

BigQuery中的standardSQL支持用于提取日期部分的ISO/ANSI标准函数。这是摘录：

你想要：

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

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BigQuery中的标准SQL支持用于提取日期部分的ISO/ANSI标准函数。这是摘录：

你想要：

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

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这在。

中进行了解释，以找出两个日期之间的月份差异，您最好使用

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要找出两个日期之间的月份差异，最好使用