I have a simple table that has data like the following
FiscalYear Month Value
2013 01 10
2013 02 15
....
2014 01 15
2014 02 20
using Oracle(11g) Pivot query is it possible to get something like this?
Month 2013 2014
01 10 15
02 15 20
SELECT month, value_2013, value_2014
FROM (SELECT fiscalyear, month, value FROM your_table)
PIVOT (SUM (value) AS value
FOR (fiscal_year)
IN ('2013', '2014'))
Related
I have a dataset:
Date
June 2011
July 2011
Aug 2011
Sep 2011
Oct 2011
Jan 2012
Feb 2012
Mar 2012
Apr 2013
May 2013
that records down the date registered for each yearly project. (There are no project IDs however)
I would like to add in the additional variable Percentage, which represent the average progress made for that month. (For instance, if the project is registered for 4 months, then each month would progress incrementally by 25 %, (25,50,75,100)), specifically:
Percentage Date
20 June 2011
40 July 2011
60 Aug 2011
80 Sep 2011
100 Oct 2011
33 Jan 2012
66 Feb 2012
100 Mar 2012
50 Apr 2013
100 May 2013
However, my main problem would be that I am unable to know the starting month (period) and ending month (period) for each project for each year.
Are there any functions in SQL to create the calculated percentages in this case? I thought of creating a year variable and further using an indicator to indicate the start/end of the progress, but could not move on further.
Thank you again!
You can try this query.
Getting ROW_NUMBER() by year(dates) on subquery.
then get the percent.
SELECT (FLOOR(CAST(T2.RK AS decimal) * 100/(
SELECT COUNT(1) AS Totle
FROM T
WHERE year(dates) = T2.dates))) [Percentage],
T2.dates as [years],
T2.months as [months]
FROM
(
SELECT ROW_NUMBER() OVER(PARTITION BY year(dates) ORDER BY dates DESC) AS RK,
year(dates) as dates,
month(dates) as months
FROM T
) AS T2
GROUP BY T2.dates,T2.RK,T2.months
Here is a simple Pseudo sql to get what you want . ?
select Year(date), Month(date) ,
(select sum(Progress_percentage) from dataset b where b.date <=a.date ) as
subquery_percentage
from dataset a
group by Year(date), Month(date)
I have this kind of data
time Members
-------------------------------------------------- -----------
Jun 23 2016 1
Jun 23 2016 1
Jun 23 2016 2
Jun 29 2016 6
Jul 11 2016 3
Jul 11 2016 1
Jul 13 2016 1
I obtained this data using this sql query
SELECT CONVERT (VARCHAR(12), a.registered_time), COUNT(b.member_id) AS Members
FROM b
Inner JOIN a ON b.mirror_id = a.mirror_id
GROUP BY
(a.registered_time) order by a.registered_time
I want to get the sum of total numbers if they are of the same date for exampple the date of June 23 2016 will have total members of 4 and so on. Is it possible to have SUM() FUnction on Count()? How can I do this?
Convert the value to a date and include that in both the select and group by:
SELECT CONVERT(date, a.registered_time) as dte, COUNT(b.member_id) AS Members
FROM b JOIN
a
ON b.mirror_id = a.mirror_id
GROUP BY CONVERT(date, a.registered_time)
ORDER BY CONVERT(date, a.registered_time);
Using SQL Server 2008
I have a table A which has start date, end date and value. For each date within the start date and end date in Table A, I need to insert (or update if already exists) that date in table B such that the value in this table is value in A/DateDiff(Day,StartDate of A,EndDate of A).
Example:
Table A
ID StartDate EndDate Value
1 01 Jan 2014 03 Jan 2014 33
2 01 Feb 2014 02 Feb 2014 20
3 02 Jan 2014 03 Jan 2014 10
Table B
ID Date Value
1 01 Jan 2014 11
2 02 Jan 2014 16
3 03 Jan 2014 16
4 01 Feb 2014 10
5 02 Feb 2014 10
The way values are computed are - For ID 1, there are 3 days which means 11 units per day. So 1st, 2nd, 3rd Jan all get 11 units. Then because there are additional units with date range 2nd Jan to 3rd Jan which amount to 5 units per day, 2nd and 3rd Jan will be (11+5) 16. 1st and 2nd Feb just have one record so they will simply be 20/2 = 10.
I can think of a solution using loops, but want to avoid it entirely.
Is there any way I can achieve this through a set based solution? It is important for me to do this in bulk using set based approach.
I am trying to read through various articles and seems like CTE, Calendar Table or Tally Table might help but the examples I have seen require setting variables and passing start date and end date which I think will work for single record but not when doing all records at a time. Please suggest.
Thanks!
I think this should do it (DEMO):
;with cte as (
select
id
,startdate
,enddate
,value / (1+datediff(day, startdate, enddate)) as value
,startdate as date
from units
union all
select id, startdate, enddate, value, date+1 as date
from cte
where date < enddate
)
select
row_number() over (order by date) as ID
,date
,sum(value) as value
from cte
group by date
The idea is to use a Recursive CTE to explode the date ranges into one record per day. Also, the logic of value / (1+datediff(day, startdate, enddate)) distributes the total value evenly over the number of days in each range. Finally, we group by day and sum together all the values corresponding to that day to get the output:
| ID | DATE | VALUE |
|----|---------------------------------|-------|
| 1 | January, 01 2014 00:00:00+0000 | 11 |
| 2 | January, 02 2014 00:00:00+0000 | 16 |
| 3 | January, 03 2014 00:00:00+0000 | 16 |
| 4 | February, 01 2014 00:00:00+0000 | 10 |
| 5 | February, 02 2014 00:00:00+0000 | 10 |
From here you can join with your result table (Table B) by date, and update/insert the value as needed. That logic might look something like this (test it first of course before running in production!):
update B set B.VALUE = R.VALUE from TableB B join Result R on B.DATE = R.DATE
insert TableB (DATE, VALUE)
select DATE, VALUE from Result R where R.DATE not in (select DATE from TableB)
So I have a table like:
UNIQUE_ID MONTH
abc 01
93j 01
acc 01
7as 01
oks 02
ais 02
asi 03
asd 04
etc
I query:
select count(unique_id) as amount, month
from table
group by month
now everything looks great:
AMOUNT MONTH
4 01
2 02
1 03
etc
is there a way to get oracle to split the amounts by weeks?
the way that the result look something like:
AMOUNT WEEK
1 01
1 02
1 03
1 04
etc
Assuming you know the year - lets say we go with 2014 then you need to generate all the weeks a year
select rownum as week_no
from all_objects
where rownum<53) weeks
then state which months contain the weeks (for 2014)
select week_no, to_char(to_date('01-JAN-2014','DD-MON-YYYY')+7*(week_no-1),'MM') month_no
from
(select rownum as week_no
from all_objects
where rownum<53) weeks
Then join in your data
select week_no,month_no, test.unique_id from (
select week_no, to_char(to_date('01-JAN-2014','DD-MON-YYYY')+7*(week_no-1),'MM') month_no
from
(select rownum as week_no
from all_objects
where rownum<53) weeks) wm
join test on wm.month_no = test.tmonth
This gives your data for the each week as you described above. You can redo your query and count by week instead of month.
I have the following table:
Year Line January Febraury March .... December
2011 B1 5 10 20
2012 B1 10 15 25 ...
2011 A1 4 8 10 ...
And I want to insert a subtotal row each two lines (if exists), in particular each time year and Line changing: so
Year Line January Febraury March .... December
2011 B1 5 10 20
2012 B1 10 15 25 ...
--- B1 +100% +50% +25% ..
2011 A1 4 8 10 ...
How can I do this in T-SQL ?
Maybe using cursor ?
Are you certain that you want to insert a new row? Or just be able to calculate that subtotal when you query the data?
Query Version
SELECT
Year,
Line,
SUM(January) AS January,
SUM(February) AS February,
...
SUM(December) AS December
FROM
yourTable
GROUP BY
Year,
Line
WITH
ROLLUP
ORDER BY
Year,
Line
Insert Version
If you just one one level of summary, remove the WITH ROLLUP
INSERT INTO
yourTable
SELECT
Year,
NULL,
SUM(January) AS January,
SUM(February) AS February,
...
SUM(December) AS December
FROM
yourTable
GROUP BY
Year
WITH
ROLLUP
EDIT Follow question edit
I strongly suggest that you mean a query, not a change to the actual data. I also suggest that you either build these lines in your reporting environment, or you put the % values to the right of each record...
SELECT
this_year.Year,
this_year.Line,
this_year.January,
CAST(this_year.January AS DECIMAL(8,2)) / CAST(last_year.January AS DECIMAL(8,2)) AS January_Change,
...
FROM
yourTable AS this_year
LEFT JOIN
yourTable AS last_year
ON last_year.year = this_year.year-1
AND last_year.line = this_year.line