Reputation: 13
In my dataset, one column called timestamp was created with datatype as String.
It contains values like:
2018-05-30T12:56:27:487+0200
I want to construct a query where I can fetch all column from the dataset table based on the date in 'YYYY-MM-DD' format.
I want to use it in where clause with DATE Range between.
Can you guide?
Thank you.
Upvotes: 1
Views: 2938
Reputation: 1271161
If you want the date in the same timezone represented, then the simplest method is to use string operations and convert to a date:
select PARSE_DATE('%Y-%m-%d', SUBSTR('2018-05-30T12:56:27:487+0200', 1, 10))
Upvotes: 0
Reputation: 173190
convert String to Date
Below example for BigQuery Standard SQL
#standardSQL
WITH `project.dataset.table` AS (
SELECT '2018-05-30T12:56:27.487+0200' ts UNION ALL
SELECT '2018-05-30T01:56:27.487+0200'
)
SELECT ts AS ts_as_string,
PARSE_TIMESTAMP('%FT%H:%M:%E3S%z', ts) ts_as_timestamp,
DATE(PARSE_TIMESTAMP('%FT%H:%M:%E3S%z', ts)) ts_as_date
FROM `project.dataset.table`
with result
ts_as_string ts_as_timestamp ts_as_date
2018-05-30T12:56:27.487+0200 2018-05-30 10:56:27.487 UTC 2018-05-30
2018-05-30T01:56:27.487+0200 2018-05-29 23:56:27.487 UTC 2018-05-29
As you can see - first i am parsing timestamp out of the string - this is important part - this is where you can take timezone into account (see difference in dates in the result 2018-05-29
vs. 2018-05-29
). Then you can get Date out of TIMESTAMP
I want to use it in where clause with DATE Range between.
So, now you can use below in your WHERE clause
WHERE DATE(PARSE_TIMESTAMP('%FT%H:%M:%E3S%z', ts)) BETWEEN date1 AND date2
Update
You can use below to avoid dealing with "wrong" format
PARSE_DATE('%F', SUBSTR(ts, 1, 10))
In case if you need to account for timezone - you can use below (which fix :
to .
before applying PARSE_TIMESTAMP)
DATE(PARSE_TIMESTAMP('%FT%H:%M:%E3S%z', FORMAT('%s.%s', SUBSTR(ts, 1, 19), SUBSTR(ts, 21, 8))))
Upvotes: 3