DATE_DIFF(CURRENT_DATE('Europe/Paris'), 365, DAY)
Returns me error
No matching signature for function DATE_DIFF for argument types: DATE, INT64, DATE_TIME_PART. Supported signatures: DATE_DIFF(DATE, DATE, DATE_TIME_PART); DATE_DIFF(DATETIME, DATETIME, DATE_TIME_PART); DATE_DIFF(TIMESTAMP, TIMESTAMP, DATE_TIME_PART)
How to correct this ?
My regards,
Use below instead
SELECT DATE_SUB(CURRENT_DATE('Europe/Paris'), INTERVAL 365 DAY)
As a shortcut, below also works
SELECT CURRENT_DATE('Europe/Paris') - 365
Aren't you looking for the function DATE_SUB?
DATE_SUB(CURRENT_DATE('Europe/Paris'), INTERVAL 365 DAY)
DATE_SUB substracts 365 days from the current date in Paris and returns the corresponding DATE.
DATE_DIFF in contrast returns the number (therefore an INT) of DATE_TIME_PART between 2 dates.
See here for reference.
Related
I have in a BigQuery Table the date in the folowing format:
Date
2020-07-15
I´m trying to use this query to remove the last 31 days:
SELECT
DISTINCT*
FROM
`dataset.Raw_.Data`
WHERE
DATE(Date) <= DATE_SUB(CURRENT_DATE(), INTERVAL 31 DAY)
Unfortunally is not woking, and I believe the reason is the format of the date in the Bigquery table. This is the error I get:
No matching signature for function DATE for argument types: DATE.
Supported signatures: DATE(TIMESTAMP, [STRING]); DATE(DATETIME);
DATE(INT64, INT64, INT64) at [6:2]
=> Is it any way to modify the sql-query to remove the last 31 days without modifying the tables?
If you are storing dates as strings, you should be able to just cast():
WHERE CAST(Date as date) <= DATE_SUB(CURRENT_DATE(), INTERVAL 31 DAY)
If you have a date already, then no need to cast():
WHERE Date <= DATE_SUB(CURRENT_DATE(), INTERVAL 31 DAY)
As per error message - your Date field is already of DATE data type so you can just use below
SELECT
DISTINCT *
FROM
`dataset.Raw_.Data`
WHERE
Date <= DATE_SUB(CURRENT_DATE(), INTERVAL 31 DAY)
I need to calculate the first day of last month, and the last day of last month as part of a SQL query, I found the exact answer to what I am looking for in this post
for instance
select DATEADD(MONTH, DATEDIFF(MONTH, 0, GETDATE())-1, 0) --First day of previous month
While I can follow the logic and it seems to work in SQL Server, I am using Postgresql/Redshift and I am getting the error
[42883][500310] [Amazon](500310) Invalid operation: function
pg_catalog.date_diff("unknown", integer, timestamp without time zone) does
not exist;
Can someone explain to me why Postgresql is throwing an error and how I can modify the code to get the same solution in Postgres?
Simpler in Postgres: Use date_trunc() to get the first day of the month, and then ...
subtract "one month" for the first day of the last month.
or subtract "one day" for the last day of the last month.
SELECT date_trunc('month', now()) - interval '1 month' AS last_month_first_day
, date_trunc('month', now()) - interval '1 day' AS last_month_last_day;
Returns timestamp or timestamptz, depending on input. timestamptz for now() as input.
To return type date:
SELECT (date_trunc('month', now()) - interval '1 month')::date AS last_month_first_day
, (date_trunc('month', now()))::date - 1 AS last_month_last_day;
You can subtract integer from a date (but not from a timestamp) to subtract days.
db<>fiddle here
Related:
How do I determine the last day of the previous month using PostgreSQL?
How to get the end of a day?
Second edit: okay I finally have a solution. This works in postgresql
BETWEEN DATEADD(days, (DATEPART(day, CURRENT_DATE) - 1), DATEADD(month,
-1, CURRENT_DATE)) AND DATEADD(days, (DATEPART(day, CURRENT_DATE) - 1),
CURRENT_DATE)
I figured it out. You can't put an int in the date field of a datediff or dateadd in Postgresql. If you take the SQL Server solution from above and replace the 0's in each function with two of the same date, it doesn't matter what date it is but they have to be the same, it will produce the desired output.
edit: Actually this only helps get the first of last month, not the last of last month, as I haven't figured out a way to replicate the purpose of the -1 included in the second SQL script in the link above. I can't replace this int with an equivalent date. Help would still be appreciated.
I am trying to use the Date_Trunc for MONTH function in a SQL statement but somehow it is not working for me. I am trying to pull entries which happen after April 1st, 2019. The raw date format from the Redshift database is this format which I am trying to group into month/year buckets: 2019-04-08T00:13:20.000Z
Input
SELECT
client_id as user_id,
session_utc as job_date --(format:2019-04-08T00:13:20.000Z)
FROM table1 as hits
WHERE job_date >= DATE_TRUNC('month', 2019-04-01)
group by 1,2;
Output
"ERROR: function date_trunc("unknown", integer) does not exist Hint: No function matches the given name and argument types. You may need to add explicit type casts."
What am I doing wrong?
The DATE_TRUNC Function - Amazon Redshift takes timestamp as input and provides a timestamp as output:
DATE_TRUNC('datepart', timestamp)
For example:
SELECT DATE_TRUNC('month', '2019-05-07'::timestamp)
2019-05-01 00:00:00
Therefore, your line should read:
WHERE job_date >= DATE_TRUNC('month', '2019-04-01'::timestamp)
If you wish to have the output as a date, append ::date:
SELECT DATE_TRUNC('month', '2019-05-07'::timestamp)::date
2019-05-01
Also, note that the date converts into a timestamp as at midnight. This can cause a difference for some comparisons. For example:
'2019-05-07 03:03:31.389324+00'::timestamp > '2019-05-07'::timestamp
will evaluate as True because it is comparing to midnight at the start of the day. This is different to comparing two dates (without timestamps).
The syntax for the function is DATE_TRUNC('datepart', timestamp), seems you need to use as DATE_TRUNC('month', session_utc)(this already truncates to the first date of April 2019 i.e. 2019-04-01 )
Assuming you are using Postgres, you need quotes around your date constant and can convert to the right types:
WHERE job_date >= DATE_TRUNC('month'::text, '2019-04-01'::date)
Here is a db<>fiddle.
I would like to the current date minus a previous begin date with the result with the result being the number days there is a difference of the two?
I have attempted the following: date_sub(Begindt, INTERVAL current_date)
Also, will I have to cast things differently?
Below is for BigQuery Standard SQL
DATE_DIFF(CURRENT_DATE(), Begindt, DAY)
See more for DATE_DIFF()
Above assumes the Begindt field is of DATE type
If not, you should cast to DATE type via CAST or PARSE_DATE functions
Are you finding something like below
DATE_DIFF(Begindt, CURRENT_DATE, day)
One of my column needs to be transformed into a date field. It contains a value that gives the YYMM and it should be translated into the last day of that month:
For example, 1312 should become 12/31/2013.
I have tried various last_day, to_char functions but not able to convert 1312 in a date format. Please help !!
Netezza is based on Postgres, so maybe the Postgres method will work. Here is Postgres code that works (see here):
select to_date('1312'||'01', 'YYMMDD') + interval '1 month' - interval '1 day'
I would first convert the number to a date, then add 1 month and subtract 1 day.
select add_months(to_date(1312, 'yymm'), 1) - 1 as the_date