I have a table t with a column "date" which has the type "DATE":
date
2018-10-01
2019-02-03
2020-01-01
2021-01-01
I want to get only entries where CURRENT_DATE / SYSDATE minus 2 years is true. So the result should be (CURRENT_DATE / SYSDATE = "2021-05-01":
date
2019-02-03
2020-01-01
2021-01-01
My code:
SELECT *
FROM t
WHERE YEAR(t.date) >= ADD_YEARS(TRUNC(CURRENT_DATE), -2)
But that gives me the error
Feature not supported: Incomparable Types: DECIMAL(4,0) and DATE!
Using SYSDATE with
SELECT *
FROM t
WHERE YEAR(t.date) >= ADD_YEARS(TRUNC(SYSDATE), -2)
gives the error
Feature not supported: Incomparable Types: DECIMAL(4,0) and DATE!
I tried https://stackoverflow.com/a/28888880/4435175 with
SELECT *
FROM t
WHERE YEAR(t.date) >= add_months( trunc(sysdate), -12*2 )
but that gave me the same error
Feature not supported: Incomparable Types: DECIMAL(4,0) and DATE!
sysdate already returns you date. No need to trunc it.
Looks like something is wrong with data type of column t.date.
What describe t; shows you?
UPD.
I see 2 options here. First one is more preferable for me, as it doesn't apply function to every t.date value.
SELECT *
FROM t
WHERE t.date >= add_years (sysdate, -2)
--WHERE years_between (sysdate, t.date) >= 2
Related
I tried this but it said that ERROR: subquery must return only one column
Select date_trunc('week', kyc.kyc_verify_date::timestamptz) as "week",
COUNT(*) filter (where kyc.status = 4) AS "A1",
COUNT(CASE WHEN kyc.status = 5
THEN
(Select date_trunc('week', kyc.last_update_time::timestamptz) AS "week",
count(*) filter (where kyc.status = 5)
From kyc
Group by 1)
END) AS "A2"
from KYC
Where kyc.kyc_verify_date >= date_trunc('week', CURRENT_TIMESTAMP - interval '4 week')
and kyc.kyc_verify_date < date_trunc('week', CURRENT_TIMESTAMP)
Group by 1
i do this query to get the result that if status = 4 will take the date is kyc_verify_date,
but if status = 5 will take the date is last_update_time
What should I have to change in this query? or is there any way better?
A case expression returns a single value. Since you need 2 values from it you will need to repeat the expression.
I'm having some major issues with the following query formation:
I have projects with start and end dates
Name Start End
---------------------------------------
Project 1 2020-08-01 2020-09-10
Project 2 2020-01-01 2025-01-01
and I'm trying to count the monthly working days within each project with the following subquery
select datetrunc('month', days) as d_month, count(days) as d_count
from generate_series(greatest('2020-08-01'::date, p.start), least('2020-09-14'::date, p.end), '1 day'::interval) days
where extract(DOW from days) not IN (0, 6)
group by d_month
where p.start is from the aliased main query and the dates are hard-coded for now, this correctly gives me the following result:
{"d_month"=>2020-08-01 00:00:00 +0000, "d_count"=>21}
{"d_month"=>2020-09-01 00:00:00 +0000, "d_count"=>10}
However subqueries can't return multiple values. The date range for the query is dynamic, so I would either need to somehow return the query as:
Name Start End 2020-08-01 2020-09-01 ...
-------------------------------------------------------------------------
Project 1 2020-08-01 2020-09-10 21 8
Project 2 2020-01-01 2025-01-01 21 10
Or simply return the whole subquery as JSON, but it doesn't seem to working either.
Any idea on how to achieve this or whether there are simpler solutions for this?
The most correct solution would be to create an actual calendar table that holds every possible day of interest to your business and, at a minimum for your purpose here, marks work days.
Ideally you would have columns to hold fiscal quarters, periods, and weeks to match your industry. You would also mark holidays. Joining to this table makes these kinds of calculations a snap.
create table calendar (
ddate date not null primary key,
is_work_day boolean default true
);
insert into calendar
select ts::date as ddate,
extract(dow from ts) not in (0,6) as is_work_day
from generate_series(
'2000-01-01'::timestamp,
'2099-12-31'::timestamp,
interval '1 day'
) as gs(ts);
Assuming a calendar table is not within scope, you can do this:
with bounds as (
select min(start) as first_start, max("end") as last_end
from my_projects
), cal as (
select ts::date as ddate,
extract(dow from ts) not in (0,6) as is_work_day
from bounds
cross join generate_series(
first_start,
last_end,
interval '1 day'
) as gs(ts)
), bymonth as (
select p.name, p.start, p.end,
date_trunc('month', c.ddate) as month_start,
count(*) as work_days
from my_projects p
join cal c on c.ddate between p.start and p.end
where c.is_work_day
group by p.name, p.start, p.end, month_start
)
select jsonb_object_agg(to_char(month_start, 'YYYY-MM-DD'), work_days)
|| jsonb_object_agg('name', name)
|| jsonb_object_agg('start', start)
|| jsonb_object_agg('end', "end") as result
from bymonth
group by name;
Doing a pivot from rows to columns in SQL is usually a bad idea, so the query produces json for you.
i have following query in postgresql for dates between 2 ranges.
select generate_series('2019-04-01'::timestamp, '2020-03-31', '1 month')
as g_date
I need to generate specific date in every month .i.e 15 th of every month. Following is my query to generate series
DO $$
DECLARE
compdate date = '2019-04-15';
BEGIN
CREATE TEMP TABLE tmp_table ON COMMIT DROP AS
select *,
case
when extract('day' from d) <> extract('day' from compdate) then 0
when ( extract('month' from d)::int - extract('month' from compdate)::int ) % 1 = 0 then 1
else 0
end as c
from generate_series('2019-04-01'::timestamp, '2020-03-31', '1 day') d;
END $$;
SELECT * FROM tmp_table
where c=1;
;
But every thing is perfect if input date between (1..29)-04-2019 ..
2019-04-25
2019-05-25
2019-06-25
2019-07-25
2019-08-25
2019-09-25
2019-10-25
2019-11-25
2019-12-25
2020-01-25
2020-02-25
2020-03-25
but if i give compdate: 31-04-2019 or 30-04-2019 giving out put:
2019-05-31
2019-07-31
2019-08-31
2019-10-31
2019-12-31
2020-01-31
2020-03-31
Expected Output:
date flag
2019-04-01 0 ----start_date
2019-04-30 1
2019-05-31 1
2019-06-30 1
2019-07-31 1
2019-08-31 1
2019-09-30 1
2019-10-31 1
2019-11-30 1
2019-12-31 1
2020-01-31 1
2020-02-29 1
2020-03-31 0 ---end_date
If matched day not found in the result it should take last day of that month..i.e if 31 not found in month of feb it
should take 29-02-2019 and also in april month instead of 31 it should take 2019-04-30.
Please suggest.
to generate the last days of the month, just generate first days & subtract a 1 day interval
example: the following generates all last day of month in the year 2010
SELECT x - interval '1 day' FROM
GENERATE_SERIES('2010-02-01', '2011-01-01', interval '1 month') x
You cannot accomplish what you want with generate_series. This results due to that process applying a fixed increment from the previous generated value. Your case 1 month. Now Postgres will successfully compute correct end-of-month date from 1 month to the next. So for example 1month from 31-Jan yields 28-Feb (or 29), because 31-Feb would be an invalid date, Postgres handles it. However, that same interval from 28-Feb gives the valid date 28-Mar so no end-of-month adjustment is needed. Generate_Series will return 28th of the month from then on. The same applies to 30 vs. 31 day months.
But you can achieve what your after with a recursive CTE by employing a varying interval to the same initial start date. If the resulting date is invalid for date the necessary end-of-month adjustment will be made. The following does that:
create or replace function constant_monthly_date
( start_date timestamp
, end_date timestamp
)
returns setof date
language sql strict
as $$
with recursive date_set as
(select start_date ds, start_date sd, end_date ed, 1 cnt
union all
select (sd + cnt*interval '1 month') ds, sd, ed, cnt+1
from date_set
where ds<end_date
)
select ds::date from date_set;
$$;
-- test
select * from constant_monthly_date(date '2020-01-15', date '2020-12-15' );
select * from constant_monthly_date(date '2020-01-31', date '2020-12-31' );
Use the least function to get the least one between the computed day and end of month.
create or replace function test1(day int) returns table (t timestamptz) as $$
select least(date_trunc('day', t) + make_interval(days => day-1), date_trunc('day', t) + interval '1 month' - interval '1 day') from generate_series('2019-04-01', '2020-03-31', interval '1 month') t
$$ language sql;
select test1(31);
I have this query (artist_money is of MONEY type, e.g. $30,456.11.):
SELECT SUM(
CASE
WHEN end_date - date '2015-12-3' <= 28 AND end_date - date '2015-12-3' > 0 THEN artist_money
END,
CASE
WHEN date '2015-12-3' - start_date > 28 THEN artist_money
END
) AS "gonorar"
FROM peacecard
WHERE artist_id = 12345 AND contract IS NOT NULL
When I try to get the result, here's the error:
ERROR: function sum(money, money) does not exist
LINE 1: SELECT sum(
^
HINT: No function matches the given name and argument types. You might need to add explicit type casts.
********** Error **********
What's going on? According to Documentation, SUM should take the parameters if it's MONEY type.
Thanks a lot!
The problem is the comma, not the money type. Perhaps you intend:
SELECT SUM(CASE WHEN end_date - date '2015-12-3' <= 28 AND end_date - date '2015-12-03' > 0
THEN artist_money
END),
SUM(CASE WHEN date '2015-12-3' - start_date > 28
THEN artist_money
END
) AS "gonorar"
FROM peacecard
WHERE artist_id = 12345 AND contract IS NOT NULL;
Or, if you want one column, then it makes much more sense to only use one case:
SELECT SUM(CASE WHEN end_date - date '2015-12-3' <= 28 AND end_date - date '2015-12-03' > 0
THEN artist_money
WHEN date '2015-12-3' - start_date > 28
THEN artist_money
END
) AS "gonorar"
FROM peacecard
WHERE artist_id = 12345 AND contract IS NOT NULL;
You are trying to pass two parameters to an aggregate 1 parameter function.
I want to count the number of months between two dates.
Doing :
SELECT TIMESTAMP '2012-06-13 10:38:40' - TIMESTAMP '2011-04-30 14:38:40';
Returns :
0 years 0 mons 409 days 20 hours 0 mins 0.00 secs
and so:
SELECT extract(month from TIMESTAMP '2012-06-13 10:38:40' - TIMESTAMP '2011-04-30 14:38:40');
returns 0.
age function returns interval:
age(timestamp1, timestamp2)
Then we try to extract year and month out of the interval and add them accordingly:
select extract(year from age(timestamp1, timestamp2)) * 12 +
extract(month from age(timestamp1, timestamp2))
Please note that the most voted answer by #ram and #angelin is not accurate when you are trying to get calendar month difference using.
select extract(year from age(timestamp1, timestamp2))*12 + extract(month from age(timestamp1, timestamp2))
for example, if you try to do:
select extract(year from age('2018-02-02'::date, '2018-03-01'::date))*12 + extract(month from age('2018-02-02'::date , '2018-03-01'::date))
the result will be 0 but in terms of months between March from February should be 1 no matter the days between dates.
so the formula should be like the following saying that we start with timestamp1 and timestamp2:
((year2 - year1)*12) - month1 + month2 = calendar months between two timestamps
in pg that would be translated to:
select ((extract('years' from '2018-03-01 00:00:00'::timestamp)::int - extract('years' from '2018-02-02 00:00:00'::timestamp)::int) * 12)
- extract('month' from '2018-02-02 00:00:00'::timestamp)::int + extract('month' from '2018-03-01 00:00:00'::timestamp)::int;
you can create a function like:
CREATE FUNCTION months_between (t_start timestamp, t_end timestamp)
RETURNS integer
AS $$
select ((extract('years' from $2)::int - extract('years' from $1)::int) * 12)
- extract('month' from $1)::int + extract('month' from $2)::int
$$
LANGUAGE SQL
IMMUTABLE
RETURNS NULL ON NULL INPUT;
The age function give a justified interval to work with:
SELECT age(TIMESTAMP '2012-06-13 10:38:40', TIMESTAMP '2011-04-30 14:38:40');
returns 1 year 1 mon 12 days 20:00:00, and with that you can easily use EXTRACT to count the number of months:
SELECT EXTRACT(YEAR FROM age) * 12 + EXTRACT(MONTH FROM age) AS months_between
FROM age(TIMESTAMP '2012-06-13 10:38:40', TIMESTAMP '2011-04-30 14:38:40') AS t(age);
If you will do this multiple times, you could define the following function:
CREATE FUNCTION months_between (t_start timestamp, t_end timestamp)
RETURNS integer
AS $$
SELECT
(
12 * extract('years' from a.i) + extract('months' from a.i)
)::integer
from (
values (justify_interval($2 - $1))
) as a (i)
$$
LANGUAGE SQL
IMMUTABLE
RETURNS NULL ON NULL INPUT;
so that you can then just
SELECT months_between('2015-01-01', now());
SELECT date_part ('year', f) * 12
+ date_part ('month', f)
FROM age ('2015-06-12', '2014-12-01') f
Result: 6 Months
Gives the differenece of months of two dates
SELECT ((extract( year FROM TIMESTAMP '2012-06-13 10:38:40' ) - extract( year FROM TIMESTAMP '2011-04-30 14:38:40' )) *12) + extract(MONTH FROM TIMESTAMP '2012-06-13 10:38:40' ) - extract(MONTH FROM TIMESTAMP '2011-04-30 14:38:40' );
The Result : 14
Have to extract months seperately for both the dates and then the difference of both the results
Here is a PostgreSQL function with the exact same behavior as the Oracle MONTHS_BETWEEN function.
It has been tested on a wide range of years (including leap ones) and more than 700k combinations of dates (including end of every months).
CREATE OR REPLACE FUNCTION months_between
( DATE,
DATE
)
RETURNS float
AS
$$
SELECT
(EXTRACT(YEAR FROM $1) - EXTRACT(YEAR FROM $2)) * 12
+ EXTRACT(MONTH FROM $1) - EXTRACT(MONTH FROM $2)
+ CASE
WHEN EXTRACT(DAY FROM $2) = EXTRACT(DAY FROM LAST_DAY($2))
AND EXTRACT(DAY FROM $1) = EXTRACT(DAY FROM LAST_DAY($1))
THEN
0
ELSE
(EXTRACT(DAY FROM $1) - EXTRACT(DAY FROM $2)) / 31
END
;
$$
LANGUAGE SQL
IMMUTABLE STRICT;
This function requires a LAST_DAY function (behaving the same as Oracle's one) :
CREATE OR REPLACE FUNCTION last_day
( DATE
)
RETURNS DATE
AS
$$
SELECT
(DATE_TRUNC('MONTH', $1) + INTERVAL '1 MONTH' - INTERVAL '1 DAY')::date
;
$$
LANGUAGE SQL
IMMUTABLE STRICT;
I had the same problem once upon a time and wrote this ... it's quite ugly:
postgres=> SELECT floor((extract(EPOCH FROM TIMESTAMP '2012-06-13 10:38:40' ) - extract(EPOCH FROM TIMESTAMP '2005-04-30 14:38:40' ))/30.43/24/3600);
floor
-------
85
(1 row)
In this solution "one month" is defined to be 30.43 days long, so it may give some unexpected results over shorter timespans.
Extract by year and months will floor on months:
select extract(year from age('2016-11-30'::timestamp, '2015-10-15'::timestamp)); --> 1
select extract(month from age('2016-11-30'::timestamp, '2015-10-15'::timestamp)); --> 1
--> Total 13 months
This approach maintains fractions of months (thanks to tobixen for the divisor)
select round(('2016-11-30'::date - '2015-10-15'::date)::numeric /30.43, 1); --> 13.5 months
Try this solution:
SELECT extract (MONTH FROM age('2014-03-03 00:00:00'::timestamp,
'2013-02-03 00:00:00'::timestamp)) + 12 * extract (YEAR FROM age('2014-03-03
00:00:00'::timestamp, '2013-02-03 00:00:00'::timestamp)) as age_in_month;
SELECT floor(extract(days from TIMESTAMP '2012-06-13 10:38:40' - TIMESTAMP
'2011-04-30 14:38:40')/30.43)::integer as months;
Gives an approximate value but avoids duplication of timestamps. This uses hint from tobixen's answer to divide by 30.43 in place of 30 to be less incorrect for long timespans while computing months.
I made a function like this:
/* similar to ORACLE's MONTHS_BETWEEN */
CREATE OR REPLACE FUNCTION ORACLE_MONTHS_BETWEEN(date_from DATE, date_to DATE)
RETURNS REAL LANGUAGE plpgsql
AS
$$
DECLARE age INTERVAL;
declare rtn real;
BEGIN
age := age(date_from, date_to);
rtn := date_part('year', age) * 12 + date_part('month', age) + date_part('day', age)/31::real;
return rtn;
END;
$$;
Oracle Example)
SELECT MONTHS_BETWEEN
(TO_DATE('2015-02-02','YYYY-MM-DD'), TO_DATE('2014-12-01','YYYY-MM-DD') )
"Months" FROM DUAL;
--result is: 2.03225806451612903225806451612903225806
My PostgreSQL function example)
select ORACLE_MONTHS_BETWEEN('2015-02-02'::date, '2014-12-01'::date) Months;
-- result is: 2.032258
From the result you can use CEIL()/FLOOR() for rounding.
select ceil(2.032258) --3
select floor(2.032258) --2
Try;
select extract(month from age('2012-06-13 10:38:40'::timestamp, '2011-04-30 14:38:40'::timestamp)) as my_months;