trigger check the previous record of line before insert/update

Hi all

I would like to create a trigger that a customer will not be able to create a new account, if it has a status of "Non-payment".

CustomerID custNRIC paymentStatus

----------------------------------------------------------------

Non-payment of 200 F7654323A

It will reject the following statement.

insert into customer (custID, custNRIC, paymentStatus) VALUES (201, 'F7654323A', 'Good');

so, how can I go around to solve this issue?

sqlnoob wrote:

Hi all

I would like to create a trigger that a customer won't be able to create a new account, if it has a "Non-payment" statusYou

You can't do things like that in a trigger.

It will reject the following statement.

insert into customer (custID, custNRIC, paymentStatus) VALUES (201, 'F7654323A', 'Good');

The trigger would dismiss as EVERY other row in the same transaction, if you try to use a trigger.

You can't stop a trigger to run except by raising an exception and the trigger stop from doing anything for ANY line that the trigger activated on.

together to define

CREATE OR REPLACE TRIGGER reject_new_account

AFTER INSERT OR update ON the client

FOR EACH LINE

DECLARE

PRAGMA AUTONOMOUS_TRANSACTION;

totover NUMBER (3);

BEGIN

SELECT COUNT (*)

IN totover

OF THE customer

WHERE: NEW.nric = customer.nric

AND: NEW.badstatus = "Non-payment";

Why are you tring to use an autonomous transaction? All that makes the transaction will NOT be part of the transaction that fired the trigger.

I know there is a problem with the line 13 ' AND: NEW.badstatus = "Non-payment".»

so, how can I go around to solve this issue?

This is the LEAST of your problems. Do NOT try to nontransactional things in a trigger.

Also, don't try to query the table that the trigger is activated on.

This is the fundamental question: Oracle is a multi-user system. Other users may be perform DML on the same table at the same time. So any NUMBER that provides this trigger can turn out to be inaccurate when other users post their transactions.

The best you can do in a trigger is throw an exception. If you do this will affect the complete relaxation and all the lines he treated - not only one line you see that you want to reject.

A requirement like yours needs to be satisfied by the presence of DML performed using functions or procedures and serialize the customer INSERT/update this transaction that a SINGLE session/user/can perform DML on the table for a client given.

Tags: Database

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How to check the previous records on a select

I have a query that returns the data as follows

COL1     COL2     WK_DATE     INDICATOR
2     2     01/16/2010     A
0     0     01/16/2010     
0     0     01/16/2010     
1     1     11/06/2010     B
0     0     11/06/2010     
0     0     11/06/2010     
1     1     11/20/2010     C
0     0     11/20/2010     
0     0     11/20/2010     
2     2     05/12/2012     C
2     2     05/12/2012     A
3     3     05/12/2012     B

But the data set is incomplete, as I could not fill indicator on null values
Could you please let me know the service which will be useful for this condition

ALL I NEED IS JUST TO BRING THE ABSENT ON THAT PARTICULAR DATE INDICATOR

The expected output is

COL1     COL2     WK_DATE     INDICATOR
2     2     01/16/2010     A
0     0     01/16/2010     B
0     0     01/16/2010     B
1     1     11/06/2010     B
0     0     11/06/2010     A
0     0     11/06/2010     C
1     1     11/20/2010     C
0     0     11/20/2010     B
0     0     11/20/2010     A
2     2     05/12/2012     C
2     2     05/12/2012     A
3     3     05/12/2012     B

Thank you

user12236189 wrote:
Thanks, I got it lag and partition by with a nested query

There is no need of LAG. Just change the nested table:

select  nvl(b.COL1,0) as COL1,
        nvl(b.COL2,0) as COL2,
        b.WK_DATE,
        a.Column_Value Indicator
  from      table(sys.odciVarchar2List('A','B','C')) a
        Left Join
            (
             select  COL1,
                     COL2,
                     WK_DATE,
                     Indicator
               from  data_table
            ) b
          partition by (b.WK_DATE)
          on (b.Indicator = a.Column_Value)
  order by b.WK_DATE,
           b.Indicator,
           a.Column_Value
/

Now:

SQL> with data_table as (
  2                      select 2 col1,2 col2,to_date('01/16/2010','mm/dd/yyyy') wk_date,'A' indicator from dual union all
  3                      select 1,1,to_date('11/06/2010','mm/dd/yyyy'),'B' from dual union all
  4                      select 1,1,to_date('11/20/2010','mm/dd/yyyy'),'C' from dual union all
  5                      select 2,2,to_date('05/12/2012','mm/dd/yyyy'),'C' from dual union all
  6                      select 2,2,to_date('05/12/2012','mm/dd/yyyy'),'A' from dual union all
  7                      select 3,3,to_date('05/12/2012','mm/dd/yyyy'),'B' from dual
  8                     )
  9  select  nvl(b.COL1,0) as COL1,
 10          nvl(b.COL2,0) as COL2,
 11          b.WK_DATE,
 12          a.Column_Value Indicator
 13    from      table(sys.odciVarchar2List('A','B','C')) a
 14          Left Join
 15              (
 16               select  COL1,
 17                       COL2,
 18                       WK_DATE,
 19                       Indicator
 20                 from  data_table
 21              ) b
 22            partition by (b.WK_DATE)
 23            on (b.Indicator = a.Column_Value)
 24    order by b.WK_DATE,
 25             b.Indicator,
 26             a.Column_Value
 27  /

      COL1       COL2 WK_DATE   INDICATOR
---------- ---------- --------- ----------
         2          2 16-JAN-10 A
         0          0 16-JAN-10 B
         0          0 16-JAN-10 C
         1          1 06-NOV-10 B
         0          0 06-NOV-10 A
         0          0 06-NOV-10 C
         1          1 20-NOV-10 C
         0          0 20-NOV-10 A
         0          0 20-NOV-10 B
         2          2 12-MAY-12 A
         3          3 12-MAY-12 B

      COL1       COL2 WK_DATE   INDICATOR
---------- ---------- --------- ----------
         2          2 12-MAY-12 C

12 rows selected.

SQL>

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Sample data:

WITH T AS (SELECT 10 AMOUNT, 0.2 PERCENT  FROM DUAL
           UNION ALL 
           SELECT 11 AMOUNT, 0.3 PERCENT  FROM DUAL
           UNION ALL 
           SELECT 12 AMOUNT, 0.3 PERCENT  FROM DUAL
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           SELECT 13 AMOUNT, 0.3 PERCENT  FROM DUAL
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  10                          2
  11                          9
  12                          3
  13                         10
  14                          4

Please, help me build the select statement.

There is no order in the lines of the relational table. Only ORDER BY guarantees the order. So, even if the AMOUNT is increasing in your sample, I guess in life real amounts are in no particular order. If Yes, you need another column indicating the order of the lines:

WITH T AS (
           SELECT 1 ID, 10 AMOUNT, 0.2 PERCENT  FROM DUAL UNION ALL
           SELECT 2 ID, 11 AMOUNT, 0.3 PERCENT  FROM DUAL UNION ALL
           SELECT 3 ID, 12 AMOUNT, 0.3 PERCENT  FROM DUAL UNION ALL
           SELECT 4 ID, 13 AMOUNT, 0.3 PERCENT  FROM DUAL UNION ALL
           SELECT 5 ID, 14 AMOUNT, 0.3 PERCENT  FROM DUAL
          )
SELECT  AMOUNT,
        RESULT
  FROM  T
  MODEL
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    RULES(
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/

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---------- ----------
        10          2
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        12          3
        13         10
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SQL>

If the AMOUNT is still growing:

WITH T AS (
           SELECT 10 AMOUNT, 0.2 PERCENT  FROM DUAL UNION ALL
           SELECT 11 AMOUNT, 0.3 PERCENT  FROM DUAL UNION ALL
           SELECT 12 AMOUNT, 0.3 PERCENT  FROM DUAL UNION ALL
           SELECT 13 AMOUNT, 0.3 PERCENT  FROM DUAL UNION ALL
           SELECT 14 AMOUNT, 0.3 PERCENT  FROM DUAL
          )
SELECT  AMOUNT,
        RESULT
  FROM  T
  MODEL
    DIMENSION BY(ROW_NUMBER() OVER(ORDER BY AMOUNT) ID)
    MEASURES(AMOUNT,AMOUNT RESULT,PERCENT)
    RULES(
          RESULT[1]                  = RESULT[1] * PERCENT[1],
          RESULT[ID > 1] ORDER BY ID = RESULT[CV()] - RESULT[CV() - 1]
         )
  ORDER BY ID
/

    AMOUNT     RESULT
---------- ----------
        10          2
        11          9
        12          3
        13         10
        14          4

SQL>

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