To expand the moving average window, we can change the clause ROWS BETWEEN x PRECEDING AND y FOLLOWING to have different values for x and y.
SQL> -- create demo table
SQL> create table myTable(
2 id NUMBER(2),
3 value NUMBER(6,2)
4 )
5 /
Table created.
SQL>
SQL> -- prepare data
SQL> insert into myTable(ID, value)values (1,9);
1 row created.
SQL> insert into myTable(ID, value)values (2,2.11);
1 row created.
SQL> insert into myTable(ID, value)values (3,3.44);
1 row created.
SQL> insert into myTable(ID, value)values (4,-4.21);
1 row created.
SQL> insert into myTable(ID, value)values (5,10);
1 row created.
SQL> insert into myTable(ID, value)values (6,3);
1 row created.
SQL> insert into myTable(ID, value)values (7,-5.88);
1 row created.
SQL> insert into myTable(ID, value)values (8,123.45);
1 row created.
SQL> insert into myTable(ID, value)values (9,98.23);
1 row created.
SQL> insert into myTable(ID, value)values (10,938.23);
1 row created.
SQL> insert into myTable(ID, value)values (11,984.23);
1 row created.
SQL> insert into myTable(ID, value)values (12,198.23);
1 row created.
SQL> insert into myTable(ID, value)values (13,928.87);
1 row created.
SQL> insert into myTable(ID, value)values (14,25.37);
1 row created.
SQL> insert into myTable(ID, value)values (15,918.3);
1 row created.
SQL> insert into myTable(ID, value)values (16,9.23);
1 row created.
SQL> insert into myTable(ID, value)values (17,8.23);
1 row created.
SQL>
SQL> select * from myTable
2 /
ID VALUE
---------- ----------
1 9
2 2.11
3 3.44
4 -4.21
5 10
6 3
7 -5.88
8 123.45
9 98.23
10 938.23
11 984.23
12 198.23
13 928.87
14 25.37
15 918.3
16 9.23
17 8.23
17 rows selected.
SQL>
SQL> COLUMN ma FORMAT 99999.999
SQL> SELECT id, value,
2 AVG(value) OVER(ORDER BY id
3 ROWS BETWEEN 3 PRECEDING AND 1 FOLLOWING) ma
4 FROM myTable
5 ORDER BY id;
ID VALUE MA
---------- ---------- ----------
1 9 5.555
2 2.11 4.850
3 3.44 2.585
4 -4.21 4.068
5 10 2.868
6 3 1.270
7 -5.88 25.272
8 123.45 45.760
9 98.23 231.406
10 938.23 427.652
11 984.23 468.474
12 198.23 629.558
13 928.87 614.986
14 25.37 611.000
15 918.3 416.000
16 9.23 378.000
17 8.23 240.283
17 rows selected.
SQL>
SQL> -- clean the table
SQL> drop table myTable
2 /
Table dropped.