Selection of savings between ObjectChoiceField and Hashtable

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  Published by: EJP on 12/07/2010 13:27

• Simply select the values between min and max of a value accumulated during the day

  Hello Forum,
  
  a value is accumulated more a day and over a period of time. The next day, the value is reset and starts to build up again:
  

  with sampledata as (select to_date('09.09.2012 00:04:08', 'dd.mm.yyyy hh24:mi:ss') ts, 120 val from dual union all
                     select to_date('09.09.2012 01:03:08', 'dd.mm.yyyy hh24:mi:ss') ts, 120 val from dual union all
                     select to_date('09.09.2012 02:54:11', 'dd.mm.yyyy hh24:mi:ss') ts, 120 val from dual union all
                     select to_date('09.09.2012 03:04:08', 'dd.mm.yyyy hh24:mi:ss') ts, 120 val from dual union all
                     select to_date('09.09.2012 04:04:19', 'dd.mm.yyyy hh24:mi:ss') ts, 120 val from dual union all
                     select to_date('09.09.2012 05:04:20', 'dd.mm.yyyy hh24:mi:ss') ts, 120 val from dual union all
                     select to_date('09.09.2012 06:12:02', 'dd.mm.yyyy hh24:mi:ss') ts, 23 val from dual union all
                     select to_date('09.09.2012 07:12:03', 'dd.mm.yyyy hh24:mi:ss') ts, 29 val from dual union all
                     select to_date('09.09.2012 08:12:04', 'dd.mm.yyyy hh24:mi:ss') ts, 30 val from dual union all
                     select to_date('09.09.2012 09:12:11', 'dd.mm.yyyy hh24:mi:ss') ts, 45 val from dual union all
                     select to_date('09.09.2012 10:12:12', 'dd.mm.yyyy hh24:mi:ss') ts, 60 val from dual union all
                     select to_date('09.09.2012 11:12:13', 'dd.mm.yyyy hh24:mi:ss') ts, 75 val from dual union all
                     select to_date('09.09.2012 12:21:24', 'dd.mm.yyyy hh24:mi:ss') ts, 95 val from dual union all
                     select to_date('09.09.2012 13:21:26', 'dd.mm.yyyy hh24:mi:ss') ts, 120 val from dual union all
                     select to_date('09.09.2012 14:21:27', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
                     select to_date('09.09.2012 15:21:30', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
                     select to_date('09.09.2012 16:21:32', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
                     select to_date('09.09.2012 17:21:33', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
                     select to_date('09.09.2012 21:21:33', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
                     select to_date('09.09.2012 23:21:33', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
                     select to_date('10.09.2012 00:04:08', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
                     select to_date('10.09.2012 01:03:08', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
                     select to_date('10.09.2012 02:54:11', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
                     select to_date('10.09.2012 03:04:08', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
                     select to_date('10.09.2012 04:04:19', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
                     select to_date('10.09.2012 05:04:20', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
                     select to_date('10.09.2012 06:12:02', 'dd.mm.yyyy hh24:mi:ss') ts, 14 val from dual union all
                     select to_date('10.09.2012 07:12:03', 'dd.mm.yyyy hh24:mi:ss') ts, 34 val from dual union all
                     select to_date('10.09.2012 08:12:04', 'dd.mm.yyyy hh24:mi:ss') ts, 58 val from dual union all
                     select to_date('10.09.2012 09:12:11', 'dd.mm.yyyy hh24:mi:ss') ts, 70 val from dual union all
                     select to_date('10.09.2012 10:12:12', 'dd.mm.yyyy hh24:mi:ss') ts, 120 val from dual union all
                     select to_date('10.09.2012 11:12:13', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
                     select to_date('10.09.2012 12:21:24', 'dd.mm.yyyy hh24:mi:ss') ts, 153 val from dual union all
                     select to_date('10.09.2012 13:21:26', 'dd.mm.yyyy hh24:mi:ss') ts, 153 val from dual union all
                     select to_date('10.09.2012 14:21:27', 'dd.mm.yyyy hh24:mi:ss') ts, 153 val from dual union all
                     select to_date('10.09.2012 15:21:30', 'dd.mm.yyyy hh24:mi:ss') ts, 153 val from dual union all
                     select to_date('10.09.2012 16:21:32', 'dd.mm.yyyy hh24:mi:ss') ts, 153 val from dual union all
                     select to_date('10.09.2012 21:21:33', 'dd.mm.yyyy hh24:mi:ss') ts, 153 val from dual)
  select   ts, val
  from     sampledata
  order by ts asc;

  How should I change the select statement to ignore all data sets before the first minimum and duplicates after the maximum of a day to get such a result:
  

  TS     VAL
  09.09.12 06:12     23
  09.09.12 07:12     29
  09.09.12 08:12     30
  09.09.12 09:12     45
  09.09.12 10:12     60
  09.09.12 11:12     75
  09.09.12 12:21     95
  09.09.12 13:21     120
  09.09.12 14:21     142
  10.09.12 06:12     14
  10.09.12 07:12     34
  10.09.12 08:12     58
  10.09.12 09:12     70
  10.09.12 10:12     120
  10.09.12 11:12     142
  10.09.12 12:21     153

  Thank you

  Hello

  msinn wrote:
  Hello Forum,

  a value is accumulated more a day and over a period of time. The next day, the value is reset and starts to build up again:

  Thanks for posting the sample data and results. Be sure to explain how you get these results from these data. For example "for each day, I just want to show the lines after the daily low was reached. For example, on September 9, the lowest val was 23, which occurred at 6:12, so I don't want to show all lines earier to 06:12 September 9. In addition, when a val is the same as or more than the previous same day val (in order by ts), then I don't want to display the line later. For example, on 9 September, there are several consecutive lines, starting at 14:21 which all have the same val, 142. I want to only display the ealiest of this group, the line of 14:21. »

  Here's a way to do it, using analytical functions:

  WITH   got_analytics     AS
  (
       SELECT  ts, val
       ,     MIN  (val) OVER ( PARTITION BY  TRUNC (ts)
                                ORDER BY       ts  DESC
                      )      AS min_val_after
       ,     CASE
                WHEN  val = MIN (val) OVER (PARTITION BY  TRUNC (ts))
                THEN  -1    -- Impossibly low val.  See note below
                ELSE  LAG  (val) OVER ( PARTITION BY  TRUNC (ts)
                                            ORDER BY         ts
                             )
            END      AS prev_val
       FROM    sampledata
  )
  SELECT       ts
  ,       val
  FROM       got_analytics
  WHERE       val     <= min_val_after
  AND       val     >  prev_val
  ORDER BY  ts
  ;
  

  This requires that val > = 0. If you don't know a lower bound for val, and then the same basic approach still works, but it's a bit messier.

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