Need this table as output
DECLARE #ADate DATETIME
SET #ADate = GETDATE()
SELECT DAY(EOMONTH(#ADate)) AS DaysInMonth
Output: Jan 31 (I got only one month’s output. I need all the months in 2022 and their days)
You can do something like this:
WITH months AS
(
SELECT 1 AS MONTH
UNION ALL
SELECT MONTH + 1
FROM months
WHERE MONTH < 12
)
SELECT CAST(DATENAME(month, CONCAT("2022-" , months.MONTH, "-01")) AS CHAR(3)) AS 'MONTH' , DAY(EOMONTH(CONCAT("2022-" , months.MONTH, "-01"))) as DAY FROM months
Output:
MONTH
DAY
Jan
31
Feb
28
Mar
31
Apr
30
May
31
Jun
30
Jul
31
Aug
31
Sep
30
Oct
31
Nov
30
Dec
31
Create a row generator from 1 to 12 using WITH ,after that is just formating the output
You can view the result here: https://onecompiler.com/sqlserver/3yurzpsnm
how to get first day and last day of a quarter for a date?
and also first day and last day of 2 quarters back for a date in Hive or sql
for example for Feb 03 2014 first day and last day of the quarter will be
Jan 01 2014 and Mar 31 2014
and for the same date first and last day of 2 quarters back will be Jul 01 2013 and Sep 31 2013
You can accomplish this in the following way (not too fancy, but there is no direct way). To make it simpler, I just concatenated both output dates
-- before Hive 1.3
select
case
when ceil(month(mydate)/ 3.0) = 1 then concat("Jan 01 ",year(mydate),"|","Mar 31 ",year(mydate))
when ceil(month(mydate)/ 3.0) = 2 then then concat("Apr 01 ",year(mydate),"|","Jun 30 ",year(mydate))
when ceil(month(mydate)/ 3.0) = 3 then then concat("Jul 01 ",year(mydate),"|","Sep 30 ",year(mydate))
when ceil(month(mydate)/ 3.0) = 4 then then concat("Oct 01 ",year(mydate),"|","Dec 31 ",year(mydate))
else
null
end,
ceil(month(mydate)) as quarter
from (
select
from_unixtime(unix_timestamp('Feb 03 2014' , 'MMM dd yyyy')) as mydate
) t;
--Hive 1.3 or higher
select
case
when quarter(mydate) = 1 then concat("Jan 01 ",year(mydate),"|","Mar 31 ",year(mydate))
when quarter(mydate) = 2 then then concat("Apr 01 ",year(mydate),"|","Jun 30 ",year(mydate))
when quarter(mydate) = 3 then then concat("Jul 01 ",year(mydate),"|","Sep 30 ",year(mydate))
when quarter(mydate) = 4 then then concat("Oct 01 ",year(mydate),"|","Dec 31 ",year(mydate))
else
null
end,
ceil(month(mydate)) as quarter
from (
select
from_unixtime(unix_timestamp('Feb 03 2014' , 'MMM dd yyyy')) as mydate
) t;
just replace the hardcoded date for your column in the select in the inner query
So I am doing a cohort analysis for customers, where a cohort is a group of people who started using the product in the same month. I then keep track of each cohort's total use for every subsequent month up till present time.
For example, the first "cohort month" is January 2012, then I have "use months" January 12, Feb 12, March 12, ..., March 17(current month). One column is "cohort month", and another is "use month". This process repeats for every subsequent cohort month. The table looks like:
Jan 12 | Jan 12
Jan 12 | Feb 12
...
Jan 12 | Mar 17
Feb 12 | Feb 12
Feb 12 | Mar 12
...
Feb 12 | Mar 17
...
Feb 17 | Feb 17
Feb 17 | Mar 17
Mar 17 | Mar 17
The problem arises because I want to do forecasting for one year out for both existing and future cohorts.
That means for the Jan 12 cohort, I want to do prediction for April 17 to Mar 18.
I also want to do predictions for the April 17 cohort (which doesn't exist yet) from April 17 to Mar 18. And so on till predictions for the Mar 18 cohort in Mar 18.
I can handle the predictions, don't worry about that.
My issue is that I cannot figure out how to add in this list of (April 17 .. Mar 17) in the "use month" column before every cohort switches.
I also need to add in cohorts April 17 to Mar 18, and have the applicable parts of this list of (April 17 ... Mar 17) for each of these future cohorts.
So I want the table to look like:
Jan 12 | Jan 12
Jan 12 | Feb 12
...
Jan 12 | Mar 17
Jan 12 | Apr 17
..
Jan 12 | Mar 18
Feb 12 | Feb 12
Feb 12 | Mar 12
...
Feb 12 | Mar 17
Feb 12 | Apr 17
...
Feb 12 | Mar 18
...
...
Feb 17 | Feb 17
Feb 17 | Mar 17
...
Feb 17 | Mar 18
Mar 17 | Mar 17
...
Mar 17 | Mar 18
I know the first solution to come to mind is to do a create a list of all dates Jan 12 to Mar 18, cross join it to itself, and then left outer join to the current table I have (where cohort / use months range from Jan 12 to Mar 17). However, this is not scalable.
Is there a way I can just iteratively add in this list of the months of the next year?
I am using HP Vertica, could use Presto or Hive if absolutely necessary
I think you should use the query here below to create a temporary table out of nothing, and join it with the rest of your query. You can't do anything in a procedural manner in SQL, I'm afraid. You won't be able to get away without a CROSS JOIN. But here, you limit the CROSS JOIN to the generation of the first-of-month pairs that you need.
Here goes:
WITH
-- create a list of integers from 0 to 100 using the TIMESERIES clause
i(i) AS (
SELECT dt::DATE - '2000-01-01'::DATE
FROM (
SELECT '2000-01-01'::DATE + 0
UNION ALL SELECT '2000-01-01'::DATE + 100
) d(d)
TIMESERIES dt AS '1 day' OVER(ORDER BY d::TIMESTAMP)
)
,
-- limits are Jan-2012 to the first of the current month plus one year
month_limits(month_limit) AS (
SELECT '2012-01-01'::DATE
UNION ALL SELECT ADD_MONTHS(TRUNC(CURRENT_DATE,'MONTH'),12)
)
-- create the list of possible months as a CROSS JOIN of the i table
-- containing the integers and the month_limits table, using ADD_MONTHS()
-- and the smallest and greatest month of the month limits
,month_list AS (
SELECT
ADD_MONTHS(MIN(month_limit),i) AS month_first
FROM month_limits CROSS JOIN i
GROUP BY i
HAVING ADD_MONTHS(MIN(month_limit),i) <= (
SELECT MAX(month_limit) FROM month_limits
)
)
-- finally, CROSS JOIN the obtained month list with itself with the
-- filters needed.
SELECT
cohort.month_first AS cohort_month
, use.month_first AS use_month
FROM month_list AS cohort
CROSS JOIN month_list AS use
WHERE use.month_first >= cohort.month_first
ORDER BY 1,2
;
I have two tables: The 1st table contains a unique identifier (UI). Each unique identifier has a column containing a start date (yyyy-mm-dd), and a column containing an end date (yyyy-mm-dd). The 2nd table contains the temperature for each day, with separate columns for the month, day, year and temperature. I would like to join those tables and get the compiled temperature for each unique identifier; however I would the compiled temperature to only include the days from the second table that fall between start and end dates from the 1st table.
For example, if one record has a start_date of 12/10/15 and an end date of 12/31/15, I would like to have a column containing compiled temperatures for the 10th-31s. If the next record has a start date 12/3/15-12/17/15, I'd like the column next to it to show the compiled temperature for the 3rd-17th. I'll include the query I have so far, but it is not too helpful because I have not really gotten very far:
; with Temps as (
select MONTH, DAY, YEAR, Temp
from Temperatures
where MONTH = 12
and YEAR = 2016
)
Select UI, start_date, end_date, location, SUM(temp)
from Table1 t1
Inner join Temps
on temps.month = month(t1.start_date)
I appreciate any help you might be able to give. Let me know I need to elaborate on anything.
Table 1
UI Start_Date End_Date
2080 12/5/2015 12/31/2015
1266 12/1/2015 12/31/2015
1787 12/17/2015 12/28/2015
1621 12/3/2015 12/20/2015
1974 12/10/2015 12/12/2015
1731 12/25/2015 12/31/2015
Table 2
Month Day Year Temp
12 1 2016 34
12 2 2016 32
12 3 2016 35
12 4 2016 37
12 5 2016 32
12 6 2016 30
12 7 2016 31
12 8 2016 36
12 9 2016 48
12 10 2016 42
12 11 2016 33
12 12 2016 41
12 13 2016 31
12 14 2016 29
12 15 2016 46
12 16 2016 48
12 17 2016 38
12 18 2016 29
12 19 2016 45
12 20 2016 37
12 21 2016 48
12 22 2016 46
12 23 2016 44
12 24 2016 45
12 25 2016 35
12 26 2016 44
12 27 2016 29
12 28 2016 38
12 29 2016 29
12 30 2016 35
12 31 2016 40
Table 3 (Expected Result)
UI Start_Date End_Date Compiled Temp
2080 12/5/2015 12/31/2015 1101
1266 12/1/2015 12/31/2015 1167
1787 12/17/2015 12/28/2015 478
1621 12/3/2015 12/20/2015 668
1974 12/10/2015 12/12/2015 126
1731 12/25/2015 12/31/2015 250
You could do something like this:
; WITH temps AS (
SELECT CONVERT(DATE, CONVERT(CHAR(4), [YEAR]) + '-' + CONVERT(CHAR(2), [MONTH]) + '-' + CONVERT(VARCHAR(2), [DAY])) [TDate], [Temp]
FROM Temperatures
WHERE [MONTH] = 12
AND [YEAR] = 2015
)
SELECT [UI], [start_date], [end_date]
, (SELECT SUM([temp])
FROM temps
WHERE [TDate] BETWEEN T1.[start_date] AND T1.[end_date]) [Compiled Temp]
FROM Table1 T1
No need for a join.
You can do a simple join of the two tables as well. You don't need to use a CTE.
--TEST DATA
if object_id('Table1','U') is not null
drop table Table1
create table Table1 (UI int, Start_Date date, End_Date date)
insert Table1
values
(2080,'12/05/2015','12/31/2015'),
(1266,'12/01/2015','12/31/2015'),
(1787,'12/17/2015','12/28/2015'),
(1621,'12/03/2015','12/20/2015'),
(1974,'12/10/2015','12/12/2015'),
(1731,'12/25/2015','12/31/2015')
if object_id('Table2','U') is not null
drop table Table2
create table Table2 (Month int, Day int, Year int, Temp int)
insert Table2
values
(12,1, 2015,34),
(12,2, 2015,32),
(12,3, 2015,35),
(12,4, 2015,37),
(12,5, 2015,32),
(12,6, 2015,30),
(12,7, 2015,31),
(12,8, 2015,36),
(12,9, 2015,48),
(12,10,2015,42),
(12,11,2015,33),
(12,12,2015,41),
(12,13,2015,31),
(12,14,2015,29),
(12,15,2015,46),
(12,16,2015,48),
(12,17,2015,38),
(12,18,2015,29),
(12,19,2015,45),
(12,20,2015,37),
(12,21,2015,48),
(12,22,2015,46),
(12,23,2015,44),
(12,24,2015,45),
(12,25,2015,35),
(12,26,2015,44)
--AGGREGATE TEMPS
select t1.Start_Date, t1.End_Date, avg(t2.temp) AvgTemp, sum(t2.temp) CompiledTemps
from table1 t1
join table2 t2 ON t2.Year between datepart(year, t1.Start_Date) and datepart(year, t1.End_Date)
and t2.Month between datepart(month,t1.Start_Date) and datepart(month,t1.End_Date)
and t2.Day between datepart(day, t1.Start_Date) and datepart(day, t1.End_Date)
group by t1.Start_Date, t1.End_Date
The title must be confusing, but the thing I am trying to do is very easy to understand with an example. I have a table like this:
Code Date_ Ratio
73245 Jan 1 1975 12:00AM 10
73245 Apr 18 2006 12:00AM 4
73245 Dec 26 2007 12:00AM 10
73245 Jan 30 2009 12:00AM 4
73245 Apr 21 2011 12:00AM 2
Basically for each security it gives some ratio for it with a date when the ratio starts to be effective. This table will be much easier to use if instead of just having a start date, it has a pair of start date and end date, like the following:
Code StartDate_ EndDate_ Ratio
73245 Jan 1 1975 12:00AM Apr 18 2006 12:00AM 10
73245 Apr 18 2006 12:00AM Dec 26 2007 12:00AM 4
73245 Dec 26 2007 12:00AM Jan 30 2009 12:00AM 10
73245 Jan 30 2009 12:00AM Apr 21 2011 12:00AM 4
73245 Apr 21 2011 12:00AM Dce 31 2049 12:00AM(or some random date in far future) 2
How do I transform the original table to the table I want using SQL statements? I have little experience with SQL and I could not figure how.
Please help! Thanks!
In SQL Server 2012:
SELECT code,
date_ AS startDate,
LEAD(date_) OVER (PARTITION BY code ORDER BY date_) AS endDate,
ratio
FROM mytable
In SQL Server 2005 and 2008:
WITH q AS
(
SELECT *,
ROW_NUMBER() OVER (PARTITION BY code ORDER BY date_) AS rn
FROM mytable
)
SELECT q1.code, q1.date_ AS startDate, q2.date_ AS endDate, q1.ratio
FROM q q1
LEFT JOIN
q q2
ON q2.code = q1.code
AND q2.rn = q1.rn + 1
Maybe it would also be possible to use OUTER APPLY, something like:
SELECT t1.Code, t1.Date_ AS StartDate_, ISNULL(t2.EndDate_, CAST('20491231' AS DATETIME)) AS EndDate_
FROM t1 AS t1o
OUTER APPLY
(
SELECT TOP 1 Date_ AS EndDate_
FROM t1
WHERE t1.Code = t1o.Code AND t1.Date_ > t1o.Date_
ORDER BY t1.Date_ ASC
) AS t2