Value SQL lower and upper

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• 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.

• Dynamic SQL insert and dbms_sql.last_row_count

  I write a procedure which takes a variable number of parameters, and fills a global temporary table with the results if a dynamic query. I want to know how many lines is in the TWG after insertion, made using dbms_sql.execute. With the help of dbms_sql.last_row_count seems to work, but the documentation: said http://docs.oracle.com/cd/E11882_01/appdev.112/e25788/d_sql.htm#i1026354 'call this function after a FETCH_ROWS or an EXECUTE_AND_FETCH called. If called after a call to EXECUTE, then the returned value is zero.
  
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  1 last_row_count rows 
  sql%rowcount rows 
  
  select * from v$version; 
  
  BANNER 
  ________________________________________________________________________________ 
  Oracle Database 11g Enterprise Edition Release 11.2.0.3.0 - 64bit Production 
  PL/SQL Release 11.2.0.3.0 - Production 
  CORE    11.2.0.3.0 ;     Production 
  TNS for 64-bit Windows: Version 11.2.0.3.0 - Production 
  NLSRTL Version 11.2.0.3.0 - Production 

  I would like to know if it is OK to use last_row_count in this scenario? His behavior would change in the future, leading to misleading results. Because of the doubts I have I might have just to SELECT COUNT (*) from bc_test_gtt; to get my result, but which seems to be an unnecessary use of SQL
  
  Background: I store a copy of the contact information in a denormalised, cleaned of structure. When a user enters a new client in the request, my procedure will return duplicates potential, based on the contact information that the user entered.
  
  Thank you
  
  Ben

  Certainly, the documentation last_row_count should not be used after execution. So probably not safe to rely on this behavior.

  But the docs for run statement said:

  >
  This function executes a given cursor. This function accepts the ID number of the cursor and returns the number of rows processed. The return value is only valid for statements INSERT, UPDATE, and DELETE; for other types of statements, including the DDL, the return value is undefined and should be ignored.
  ...
  Returns the number of rows processed
  >

  And it's the package specification:

    function execute(c in integer) return integer;
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    --  (valid and meaningful only for INSERT, DELETE or UPDATE statements;
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    --    c
    --      Cursor id number of the cursor to execute.
    --  Return value:
    --    Number of rows processed if the statement in the cursor is
    --    either an INSERT, DELETE or UPDATE statement or undefined otherwise.
    --
  

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