Reputation: 247
I have the following query:
#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
However, when I try to run BigQuery it gives the following error:
Function not found: YEAR at [5:180]
I understand it's because I'm using standardSQL, but how do I make that difference from months using standardSQL?
Upvotes: 0
Views: 1046
Reputation: 172994
To find difference in months between two dates you better to use DATE_DIFF()
DATE_DIFF(DATE_END, DATE_START, MONTH)
Upvotes: 2
Reputation: 1269753
StandardSQL in BigQuery supports the ISO/ANSI-standard function for extracting date parts. This is extract()
:
You want:
extract(year from <datecol>)
extract(month from <datecol>)
This is explained in the documentation.
Upvotes: 2