Function analytical to retrieve a value, a year ago.

Hello

I'm trying to find an analytical function to get a value on another line of research on a date with Oracle 11 g 2.

I have a table with a date_id (truncated date), a flag and a measure. For each date, I have at least a rank (sometimes 2) is gapless.

I would like to find analytical functions to show for each date:

  • the sum of the measure for this date
  • sum of the measure a week ago
  • sum of the measure a year ago

As it is gapless I managed to make the week a group as in a subquery and using a SHIFT with offset to place 7 above it (see below).

However, I'm struggling on how to do it for the data we have leap years ago. I can not simply to define the offset on 365.

Is it possible to do with a window RANGE BETWEEN clause? I can't seem to have it work with dates.

Week: LAG with SHIFT 7

Violin SQL

or


create table daily_counts
(
  date_id date,
  internal_flag number,
  measure1 number
);


insert into daily_counts values ('01-Jan-2013', 0, 8014);
insert into daily_counts values ('01-Jan-2013', 1, 2);
insert into daily_counts values ('02-Jan-2013', 0, 1300);
insert into daily_counts values ('02-Jan-2013', 1, 37);
insert into daily_counts values ('03-Jan-2013', 0, 19);
insert into daily_counts values ('03-Jan-2013', 1, 14);
insert into daily_counts values ('04-Jan-2013', 0, 3);
insert into daily_counts values ('05-Jan-2013', 0, 0);
insert into daily_counts values ('05-Jan-2013', 1, 1);
insert into daily_counts values ('06-Jan-2013', 0, 0);
insert into daily_counts values ('07-Jan-2013', 1, 3);
insert into daily_counts values ('08-Jan-2013', 0, 33);
insert into daily_counts values ('08-Jan-2013', 1, 9);


commit;

select
    date_id,
    total1,
    LAG(total1, 7) OVER(ORDER BY date_id) total_one_week_ago
  from
    (
      select
        date_id,
        SUM(measure1) total1
      from daily_counts
      group by date_id
  )
order by 1;

Year: any idea?

I can't give an example gapless, would be too long but if there is a solution with the date directly:

Violin SQL

or add this to the above diagram:


insert into daily_counts values ('07-Jan-2012', 0, 11);

insert into daily_counts values ('07-Jan-2012', 1, 1);

insert into daily_counts values ('08-Jan-2012', 1, 4);




Thank you for your help.

Floyd

Hello

Sorry, I; m not sure I understand the problem.

If you are certain that there is at least 1 rank for every day, so you can be sure that the GROUP BY will produce exactly 1 row per day, and you can already use LAG (total1, 365) just as you use LAG (1, 7).

Are you concerned of leap years?  In other words, when the day is March 1, 2016, do you want the column total_one_year_ago to reflect March 1, 2015, which was 366 days earlier?  If so, use

date_id - ADD_MONTHS (date_id,-12)

instead of 365.

LAG only works with an exact number, but you can use RANGE BETWEEN with other analytical functions, such as MIN or SUM:

SELECT DISTINCT

date_id

SUM (measure1) OVER (PARTITION BY date_id) AS total1

SUM (measure1) OVER (ORDER BY date_id

BETWEEN 7 BEFORE

AND 7 BEFORE

) AS total1_one_week_ago

SUM (measure1) OVER (ORDER BY date_id

PRIOR TO RANGE BETWEEN 365

AND 365 BEFORE

) AS total1_one_year_ago

OF daily_counts

ORDER BY date_id

;

Again, use arithmetic dates instead of the code 365 hard, if it's a problem.

As Hoek said, it really helps to publish exactly the results you want from the data of the given sample.  You are miles ahead of people who don't post same sample data, however.

You just don't not to post hundreds of INSERT statements for the information of the year.  Here's a way to generate sample data for many lines at the same time:

-Put a 0 in the table for all the days in 2012

INSERT INTO daily_counts (date_id, measure1)

SELECT DATE '' 2011-12-31 + LEVEL

,       0

OF the double

CONNECT BY LEVEL<=>

;

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