How can I get the difference in days between 2 timestamp fields in Google Big Query?
The only function I know is Datediff
which only works in Legacy SQL but I'm in Standard SQL.
For example: the difference between 20180115 to 20180220 is 36 days.
As per documentation, you should use DATE_DIFF
function in standard SQL.
Your query should look like this:
SELECT DATE_DIFF(DATE '2018-02-20', DATE '2018-01-15', DAY) as days_diff;
result:
Row days_diff
1 36
First you need to "translate" you string representation of date into date type using PARSE_DATE()
function and then DATE_DIFF()
function allows you to calculate difference/distance between two dates as in example below
#standardSQL
SELECT
DATE_DIFF(
PARSE_DATE('%Y%m%d', '20180220'),
PARSE_DATE('%Y%m%d', '20180115'),
DAY
) days
produces:
Row days
1 36
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