How to use SQL to display Datethat falls between the date range

Hi,
I'm figuring out how do i use SQL to select data
that falls between the date range stated
(for eg. 19/02/1955 to 19/02/2003)
I've tried :
sql="Select * From StudentRecords WHERE DOB BETWEEN #" jTextField21.getText() "#" +" And " +"#" +jTextField22.getText;
Using BETWEEN statment , but Between Statement isn't doing what i want..
even those out of range are displayed... any ideas how??
Thank yOU in advance!

oracle:
sql = "Select * From StudentRecords WHERE DOB between TO_DATE('07/04/2003','dd/mm/yyyy') and TO_DATE('08/04/2003','dd/mm/yyyy')";

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SUM(Case how to use this structure to get average values over date range

I am using:
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How do I use the sum function with a case structure inside.
so I have data that looks like has an ID, date, and value. I am looking to get the 7 day average for the date range of 4/1/2013 thru 4/20/2013
with t as (
select 1 ID_Key,to_date('4/1/2013','mm-dd-yyyy') date_val, 10 Value_num from dual union all
select 1 ID_key,to_date('4/2/2013','mm-dd-yyyy'), 15 from dual union all
select 1 ID_key,to_date('4/3/2013','mm-dd-yyyy'), 20 from dual union all
select 1 ID_key,to_date('4/5/2013','mm-dd-yyyy'), 0 from dual union all
select 1 ID_key,to_date('4/8/2013','mm-dd-yyyy'), 12 from dual union all
select 1 ID_key,to_date('4/9/2013','mm-dd-yyyy'), 8 from dual union all
select 1 ID_key,to_date('4/10/2013','mm-dd-yyyy'), 6 from dual union all
select 1 ID_key,to_date('4/12/2013','mm-dd-yyyy'), 10 from dual union all
select 1 ID_key,to_date('4/13/2013','mm-dd-yyyy'), 0 from dual union all
select 1 ID_key,to_date('4/14/2013','mm-dd-yyyy'), 0 from dual union all
select 1 ID_key,to_date('4/15/2013','mm-dd-yyyy'), 10 from dual union all
select 1 ID_key,to_date('4/16/2013','mm-dd-yyyy'), 5 from dual union all
select 1 ID_key,to_date('4/17/2013','mm-dd-yyyy'), 2 from dual union all
select 1 ID_key,to_date('4/20/2013','mm-dd-yyyy'), 3 from dual union all
select 2 ID_key,to_date('4/3/2013','mm-dd-yyyy'), 12 from dual union all
select 2 ID_key,to_date('4/5/2013','mm-dd-yyyy'), 15 from dual union all
select 2 ID_key,to_date('4/6/2013','mm-dd-yyyy'), 5 from dual union all
select 2 ID_key,to_date('4/7/2013','mm-dd-yyyy'), 7 from dual union all
select 2 ID_key,to_date('4/9/2013','mm-dd-yyyy'), 10 from dual union all
select 2 ID_key,to_date('4/11/2013','mm-dd-yyyy'), 5 from dual union all
select 2 ID_key,to_date('4/12/2013','mm-dd-yyyy'), 0 from dual union all
select 2 ID_key,to_date('4/13/2013','mm-dd-yyyy'), 0 from dual union all
select 2 ID_key,to_date('4/15/2013','mm-dd-yyyy'), 6 from dual union all
select 2 ID_key,to_date('4/16/2013','mm-dd-yyyy'), 8 from dual union all
select 2 ID_key,to_date('4/17/2013','mm-dd-yyyy'), 0 from dual union all
select 2 ID_key,to_date('4/18/2013','mm-dd-yyyy'), 10 from dual union all
select 2 ID_key,to_date('4/19/2013','mm-dd-yyyy'), 5 from dual
)**Please let me know if the table does not load.
I would like to get the 7 day average as long as there is date for that row has enough previous dates, it not then it will return null.
the results should look like this
ID_Key      date_val     Value_num     7Day_Avg     7Day_Avg2
1     4/1/2013     10          null          null
1     4/2/2013     15          null          null
1     4/3/2013     20          null          null
1     4/5/2013     0          null          null
1     4/8/2013     12          6.71          11.75
1     4/9/2013     8          5.71          10.00
1     4/10/2013     6          3.71          6.50
1     4/12/2013     10          5.14          9.00
1     4/13/2013     0          5.14          7.20
1     4/14/2013     0          5.14          6.00
1     4/15/2013     10          4.86          5.67
1     4/16/2013     5          4.42          5.17
1     4/17/2013     2          3.85          4.50
1     4/20/2013     3          2.86          4.00
2     4/3/2013     12          null          null
2     4/5/2013     15          null          null
2     4/6/2013     5          null          null
2     4/7/2013     7          5.57          9.75
2     4/9/2013     10          7.00          9.80
2     4/11/2013     5          6.00          8.40
2     4/12/2013     0          3.86          5.40
2     4/13/2013     0          3.14          4.40
2     4/15/2013     6          3.00          4.20
2     4/16/2013     8          2.71          3.80
2     4/17/2013     0          2.71          3.17
2     4/18/2013     10          3.43          4.00
2     4/19/2013     5          4.14          4.83As you may notice, there are gaps in the dates, so the value are then treated as zeros for the 7Day_Avg and then ignored for teh 7Day_Avg2 (not counted as number of days averaged do to no valu_num row)
I was trying something like this to start, but getting error "missing keyword"
select
t.*/,
sum(
      case
        when date_val between :day2 - 6 and :day2
        then value_num between date_val - 6 and date_val
        else null
        end
        as 7Day_avg
form tShould I have the case structure outside the sum function?
Any thoughts??
Edited by: 1004407 on Jun 7, 2013 11:06 AM

Hi,
If you want the average of the last 7 days, including the current day, then then RANGE should be 6 PRECEDING, not 7.
Try this:
WITH     got_min_date_val AS
        SELECT id_key, date_val, value_num
        ,       MIN (date_val) OVER () AS min_date_val
        FROM    t
        WHERE date_val BETWEEN TO_DATE ('04-01-2013', 'mm-dd-yyyy')
                         AND   TO_DATE ('04-20-2013', 'mm-dd-yyyy')
SELECT    id_key, date_val, value_num
,         CASE
              WHEN date_val >= min_date_val + 6
              THEN SUM (value_num) OVER ( PARTITION BY id_key
                                           ORDER BY      date_val
                                           RANGE         6 PRECEDING
                    / 7
          END AS avg_7_day
,         CASE
              WHEN date_val >= min_date_val + 6
              THEN AVG (value_num) OVER ( PARTITION BY id_key
                                           ORDER BY      date_val
                                           RANGE         6 PRECEDING
          END   AS avg_7_day_2
FROM      got_min_date_val
ORDER BY id_key
,         date_val
Output:
   ID_KEY DATE_VAL   VALUE_NUM AVG_7_DAY AVG_7_DAY_2
         1 01-APR-13         10
         1 02-APR-13         15
         1 03-APR-13         20
         1 05-APR-13          0
         1 08-APR-13         12       6.71        11.75
         1 09-APR-13          8       5.71        10.00
         1 10-APR-13          6       3.71         6.50
         1 12-APR-13         10       5.14         9.00
         1 13-APR-13          0       5.14         7.20
         1 14-APR-13          0       5.14         6.00
         1 15-APR-13         10       4.86         5.67
         1 16-APR-13          5       4.43         5.17
         1 17-APR-13          2       3.86         4.50
         1 20-APR-13          3       2.86         4.00
         2 03-APR-13         12
         2 05-APR-13         15
         2 06-APR-13          5
         2 07-APR-13          7       5.57         9.75
         2 09-APR-13         10       7.00         9.80
         2 11-APR-13          5       6.00         8.40
         2 12-APR-13          0       3.86         5.40
         2 13-APR-13          0       3.14         4.40
         2 15-APR-13          6       3.00         4.20
         2 16-APR-13          8       2.71         3.80
         2 17-APR-13          0       2.71         3.17
         2 18-APR-13         10       3.43         4.00
         2 19-APR-13          5       4.14         4.83
Message was edited by: FrankKulash
Sorry; I meant to reply to OP, not to Greg

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