[8i] how to calculate a moving average?

I am trying to calculate a moving average over a specific period of time, but I can't quite figure out how to do this. For this particular problem, I am also stuck on a 8i database.

Some examples of data for the problem:
CREATE TABLE     my_data
(     order_no     CHAR(10)
,     seq_nbr          CHAR(4)
,     area_id          CHAR(4)
,     start_date     DATE
,     unit_time     NUMBER(7,2)
);

INSERT INTO my_data VALUES ('0000567890','0010','A001',TO_DATE('05/01/2000','mm/dd/yyyy'),0.34);
INSERT INTO my_data VALUES ('0000567890','0020','A001',TO_DATE('05/02/2000','mm/dd/yyyy'),0.78);
INSERT INTO my_data VALUES ('0000567890','0030','A002',TO_DATE('05/03/2000','mm/dd/yyyy'),0.91);
INSERT INTO my_data VALUES ('0000567890','0040','A003',TO_DATE('05/03/2000','mm/dd/yyyy'),0.27);
INSERT INTO my_data VALUES ('0000123456','0010','A001',TO_DATE('04/01/2001','mm/dd/yyyy'),0.39);
INSERT INTO my_data VALUES ('0000123456','0020','A001',TO_DATE('04/02/2001','mm/dd/yyyy'),0.98);
INSERT INTO my_data VALUES ('0000123456','0030','A002',TO_DATE('04/03/2001','mm/dd/yyyy'),0.77);
INSERT INTO my_data VALUES ('0000123456','0040','A003',TO_DATE('04/03/2001','mm/dd/yyyy'),0.28);
INSERT INTO my_data VALUES ('0000123123','0010','A001',TO_DATE('12/01/2001','mm/dd/yyyy'),0.31);
INSERT INTO my_data VALUES ('0000123123','0020','A001',TO_DATE('12/02/2001','mm/dd/yyyy'),0.86);
INSERT INTO my_data VALUES ('0000123123','0030','A002',TO_DATE('12/03/2001','mm/dd/yyyy'),0.82);
INSERT INTO my_data VALUES ('0000123123','0040','A003',TO_DATE('12/03/2001','mm/dd/yyyy'),0.23);
INSERT INTO my_data VALUES ('0000111111','0010','A001',TO_DATE('06/01/2002','mm/dd/yyyy'),0.29);
INSERT INTO my_data VALUES ('0000111111','0020','A001',TO_DATE('06/02/2002','mm/dd/yyyy'),0.84);
INSERT INTO my_data VALUES ('0000111111','0030','A002',TO_DATE('06/03/2002','mm/dd/yyyy'),0.78);
INSERT INTO my_data VALUES ('0000111111','0040','A003',TO_DATE('06/03/2002','mm/dd/yyyy'),0.26);
INSERT INTO my_data VALUES ('0000654321','0010','A001',TO_DATE('05/01/2003','mm/dd/yyyy'),0.28);
INSERT INTO my_data VALUES ('0000654321','0020','A001',TO_DATE('05/02/2003','mm/dd/yyyy'),0.88);
INSERT INTO my_data VALUES ('0000654321','0030','A002',TO_DATE('05/03/2003','mm/dd/yyyy'),0.75);
INSERT INTO my_data VALUES ('0000654321','0040','A003',TO_DATE('05/03/2003','mm/dd/yyyy'),0.25);
It is a sample of the actual data, which includes the lines around 50K, and is the result of a query, not a table. In addition, the actual data also have a reference number attached to each order, and the end result will be be partitioned by party id number and the region. This sample represents basically something, you might see a unique part number. In addition, these records at the time spacing is not predictable. You might have a single year that has 20 ordered, and another year (or years) that does not.

Here is where I am now in the problem. For example, suppose I want to calculate a moving average over 2 years (average for the 2 years preceding the date of the current row). For my actual data, I probably want to be able to change the period of time (at different times in several queries) on which the moving average is calculated.

I thought that using the analytical function AVERAGE with a window clause might be the way to go, but I don't know exactly how to use the window clause. I can even be completely wrong interpret what is its use, but if all goes well, it should still show what I'm after.
SELECT     area_id
,     AVG(tot_area_unit_hrs)     
     OVER     (
          PARTITION BY     area_id
          ORDER BY     min_start
          ROWS          BETWEEN     --2 years prior to min_start of current row
                    AND     CURRENT ROW
          )
,     --something to indicate the time period the average is over     AS time_period
FROM     (
     SELECT     order_no
     ,     area_id
     ,     MIN(start_date)     AS min_start
     ,     SUM(unit_time)     AS tot_area_unit_hrs
     FROM     my_data
     GROUP BY     order_no
     ,          area_id
     )
ORDER BY     area_id
,          time_period
As you can see from the above query, I want to calculate the sum of the unit_time for each order/area_id combo, then roll the way to this total time. (I'm the average total time that a product passes through each area_id per order).

I want to see results like something along those lines... I really don't like how the time period is identified, as long as I can pay by him in chronological order, and he tells me what period of time it covers. The way I show with period_start and period_end in the results of the sample below is just a way that I thought to do this.
area_id   period_start period_end   avg_unit_time   
----------------------------------------------------
A001      4/30/1998    5/1/2000     1.120           
A001      3/31/1999    4/1/2001     1.245           
A001      11/30/1999   12/1/2001    1.220           
A001      5/31/2000    6/1/2002     1.223           
A001      4/30/2001    5/1/2003     1.153           
A002      5/2/1998     5/3/2000     0.910            
A002      4/2/1999     4/3/2001     0.840            
A002      12/2/1999    12/3/2001    0.833            
A002      6/2/2000     6/3/2002     0.790            
A002      5/2/2001     5/3/2003     0.783            
A003      5/2/1998     5/3/2000     0.270            
A003      4/2/1999     4/3/2001     0.275            
A003      12/2/1999    12/3/2001    0.260            
A003      6/2/2000     6/3/2002     0.257            
A003      5/2/2001     5/3/2003     0.247           
Any suggestions?

Hello

You're close enough. You want a window based on the BEACH, no LINES.
LINES BETWEEN... means that you know exactly how many lines will be in the window, and you don't care what range of values that represents.
RANGE BETWEEN... means that you know the exact scope of the ORDER BY value to include in the window, which could mean any number of lines.

When you say "RANGE BETWEEN x BEFORE...". "where the words ORDER BY id of a DATE, x is considered as the number of days. (Which is consistent with the arithmetic DATE Oracle).

Try this:

SELECT     area_id
,     min_start - 730          AS period_start
,     min_start             AS period_end
,     AVG(tot_area_unit_hrs)
     OVER     (
          PARTITION BY     area_id
          ORDER BY     min_start
          RANGE BETWEEN     365 * 2     PRECEDING
                AND     CURRENT ROW
          )               AS avg_unit_time
FROM     (
     SELECT     order_no
     ,     area_id
     ,     MIN(start_date)     AS min_start
     ,     SUM(unit_time)     AS tot_area_unit_hrs
     FROM     my_data
     GROUP BY     order_no
     ,          area_id
     )
ORDER BY     area_id
,          period_end
;

Output of your sample data:

AREA PERIOD_STA PERIOD_END AVG_UNIT_TIME
---- ---------- ---------- -------------
A001 5/2/1998   5/1/2000           1.120
A001 4/2/1999   4/1/2001           1.245
A001 12/2/1999  12/1/2001          1.220
A001 6/1/2000   6/1/2002           1.223
A001 5/1/2001   5/1/2003           1.153
A002 5/4/1998   5/3/2000            .910
A002 4/4/1999   4/3/2001            .840
A002 12/4/1999  12/3/2001           .833
A002 6/3/2000   6/3/2002            .790
A002 5/3/2001   5/3/2003            .783
A003 5/4/1998   5/3/2000            .270
A003 4/4/1999   4/3/2001            .275
A003 12/4/1999  12/3/2001           .260
A003 6/3/2000   6/3/2002            .257
A003 5/3/2001   5/3/2003            .247

The period_starts are not quite what you posted, but, if I understand you correctly, you don't mind that.
There should be no problem of partitioning an additional column.

Tags: Database

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