Row-ordering is done first and then the moving average : Aggregrate Analytical « Analytical Functions « Oracle PL / SQL

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Oracle PL / SQL » Analytical Functions » Aggregrate Analytical 
Row-ordering is done first and then the moving average



SQL> create table TestTable (
  2    x    number primary key,
  3    y   number
  4  );

Table created.

SQL>
SQL> insert into TestTable values (1);

row created.

SQL> insert into TestTable values (2);

row created.

SQL> insert into TestTable values (3);

row created.

SQL> insert into TestTable values (4);

row created.

SQL> insert into TestTable values (5);

row created.

SQL> insert into TestTable values (634 );

row created.

SQL> insert into TestTable values (732 );

row created.

SQL> insert into TestTable values (843 );

row created.

SQL> insert into TestTable values (987 );

row created.

SQL> insert into TestTable values (1032 );

row created.

SQL> insert into TestTable values (1112 );

row created.

SQL> insert into TestTable values (1216 );

row created.

SQL> insert into TestTable values (1363 );

row created.

SQL> insert into TestTable values (1474 );

row created.

SQL> insert into TestTable values (1536 );

row created.

SQL> insert into TestTable values (1656 );

row created.

SQL> insert into TestTable values (17);

row created.

SQL>
SQL> select from TestTable;

         X          Y
---------- ----------
         1          7
         2          1
         3          2
         4          5
         5          7
         6         34
         7         32
         8         43
         9         87
        10         32
        11         12
        12         16
        13         63
        14         74
        15         36
        16         56
        17          2

17 rows selected.

SQL>
SQL>
SQL> -- Row-ordering is done first and then the moving average:
SQL>
SQL> SELECT x, y,
  2    AVG(yOVER(ORDER BY y
  3      ROWS BETWEEN PRECEDING AND FOLLOWINGma
  4  FROM TestTable
  5  ORDER BY y;

         X          Y         MA
---------- ---------- ----------
         2          1        1.5
         3          2 1.66666667
        17          2          3
         4          5 4.66666667
         1          7 6.33333333
         5          7 8.66666667
        11         12 11.6666667
        12         16         20
         7         32 26.6666667
        10         32 32.6666667
         6         34         34
        15         36 37.6666667
         8         43         45
        16         56         54
        13         63 64.3333333
        14         74 74.6666667
         9         87       80.5

17 rows selected.

SQL>
SQL>
SQL>
SQL> drop table TestTable;

Table dropped.

SQL>
SQL>
           
       
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10. avg over order by range
11. average 5 before, after
12. Avg over ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING)
13. SUM(y) OVER(ORDER BY x ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING)
14. Use the COUNT aggregate analytical function to show how many rows are included in each window
15. To see how the moving average window can expand
16. Uses dates and logical offset of seven days preceding
17. A seven-day MAX and MIN on Tuesdays
18. A seven-day MAX and MIN on Tuesdays: using TO_CHAR function
19. Displaying a Running Total Using SUM as an Analytical Function
20. Reporting on a Sum
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