Choose a group with the special value

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• Updated with the hash values column

  Hi all

  I have a requirement to add a column to a table and fill it with the hash values. The table contains an xml column and hash value of this column need to be filled to newly added column. I think that the ora_hash function will not support the xml type column. Just tested with the following script and it works.

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• update to column values (false) in a copy of the same table with the correct values

  Database is 10gr 2 - had a situation last night where someone changed inadvertently values of column on a couple of hundred thousand records with an incorrect value first thing in the morning and never let me know later in the day. My undo retention was not large enough to create a copy of the table as it was 7 hours comes back with a "insert in table_2 select * from table_1 to timestamp...» "query, so I restored the backup previous nights to another machine and it picked up at 07:00 (just before the hour, he made the change), created a dblink since the production database and created a copy of the table of the restored database.
  
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  where a.workordersoi = b.workordersoi)
  
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  Do a post-mortem today, I replay the scenario on the copy that I restored, trying to figure out a cleaner, a quicker way to do it, if the need arise again. I went and randomly changed some values in a column number (called "comappstat") in a copy of the table of production, and then thought that I would try the following resets the values of the correct table:
  
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  mnt.workorders a, mnt.workorders_copy b
  where a.workordersoi = b.workordersoi - this is a PK column
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  Set b.comappstat = a.comappstat
  
  Although I thought that the syntax is correct, I get an "ORA-00904: 'A'. '. ' COMAPPSTAT': invalid identifier ' to run this, I was trying to guess where the syntax was wrong here, then thought that perhaps having the subquery returns a single line would be cleaner and faster anyway, so I gave up on that and instead tried this:
  
  Update mnt.workorders_copy
  Set comappstat = (select distinct)
  a.comappstat
  mnt.workorders a, mnt.workorders_copy b
  where a.workordersoi = b.workordersoi
  and a.comappstat! = b.comappstat)
  where a.comappstat! = b.comappstat
  and a.workordersoi = b.workordersoi
  
  The subquery executed on its own returns a single value 9, which is the correct value of the column in the table of the prod, and I want to replace the incorrect a '12' (I've updated the copy to change the value of the column comappstat to 12 everywhere where it was 9) However when I run the query again I get this error :
  
  ERROR on line 8:
  ORA-00904: "B". "" WORKORDERSOI ": invalid identifier
  
  First of all, I don't see why the update statement does not work (it's probably obvious, but I'm not)
  
  Secondly, it is the best approach for updating a column (or columns) that are incorrect, with the columns in the same table which are correct, or is there a better way?
  
  I would sooner update the table rather than delete or truncate then re insert, as it was a trigger for insert/update I had to disable it on the notice re and truncate the table unusable a demand so I was re insert.
  
  Thank you

  Hello

  First of all, after post 79, you need to know how to format your code.

  Your last request reads as follows:

  UPDATE
    mnt.workorders_copy
  SET
    comappstat =
    (
      SELECT DISTINCT
        a.comappstat
      FROM
        mnt.workorders a
      , mnt.workorders_copy b
      WHERE
        a.workordersoi    = b.workordersoi
        AND a.comappstat != b.comappstat
    )
  WHERE
    a.comappstat      != b.comappstat
    AND a.workordersoi = b.workordersoi
  

  This will not work for several reasons:
  The sub query allows you to define a and b and outside the breakets you can't refer to a or b.
  There is no link between the mnt.workorders_copy and the the update and the request of void.

  If you do this you should have something like this:

  UPDATE
    mnt.workorders     A      -- THIS IS THE TABLE YOU WANT TO UPDATE
  SET
    A.comappstat =
    (
      SELECT
        B.comappstat
      FROM
        mnt.workorders_copy B   -- THIS IS THE TABLE WITH THE CORRECT (OLD) VALUES
      WHERE
        a.workordersoi    = b.workordersoi      -- THIS MUST BE THE KEY
        AND a.comappstat != b.comappstat
    )
  WHERE
    EXISTS
    (
      SELECT
        B.comappstat
      FROM
        mnt.workorders_copy B
      WHERE
        a.workordersoi    = b.workordersoi      -- THIS MUST BE THE KEY
        AND a.comappstat != b.comappstat
    )
  

  Speed is not so good that you run the query to sub for each row in mnt.workorders
  Note it is condition in where. You need other wise, you will update the unchanged to null values.

  I wouold do it like this:

  UPDATE
    (
      SELECT
        A.workordersoi
        ,A.comappstat
        ,B.comappstat           comappstat_OLD
  
      FROM
        mnt.workorders        A      -- THIS IS THE TABLE YOU WANT TO UPDATE
        ,mnt.workorders_copy  B      -- THIS IS THE TABLE WITH THE CORRECT (OLD) VALUES
  
      WHERE
        a.workordersoi    = b.workordersoi      -- THIS MUST BE THE KEY
        AND a.comappstat != b.comappstat
    ) C
  
  SET
    C.comappstat = comappstat_OLD
  ;
  

  This way you can test the subquery first and know exectly what will be updated.
  This was not a sub query that is executed for each line preformance should be better.

  Kind regards

  Peter

• An update on an index column with the same value generates an index to the top

  An update on an index column with the same value generates an update of the index?
  
  
  Thank you

  In addition to my previous answer, see also

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  Something similar as a result.
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• Grouping of consecutive rows with the same value?

  Hello
  
  I have a table in which are three columns:
  

  ROWID  SHOPNAME
  1      SHOP_C      
  2      SHOP_A      
  3      SHOP_C      
  4      SHOP_C      
  5      SHOP_A      
  6      SHOP_A      
  7      SHOP_C      
  8      SHOP_B      
  9      SHOP_B      
  10     SHOP_E     
  11     SHOP_A      
  12     SHOP_D      
  13     SHOP_D      
  14     SHOP_F      
  15     SHOP_G      
  16     SHOP_F      
  17     SHOP_C      
  18     SHOP_C      
  19     SHOP_C      
  20     SHOP_C      

  ROWID is a primary key with a unique ID column
  Shopname is varchar2 column
  
  I want to make groupings of each value 'shopname""order by ROWID"such that when there are consecutive lines of the same group shopname remains same and as soon as there is a different value in shopname column for the next line changes to"group ".
  
  
  My desired output is with the 3rd column of groups as follows:
  

  ROWID  SHOPNAME    Groups
  1      SHOP_C      1
  2      SHOP_A      2
  3      SHOP_C      3 ------> same grouping because Shop name is same 
  4      SHOP_C      3 ------> same grouping because shop name is same
  5      SHOP_A      4 ----> different shopname so group changed.
  6      SHOP_A      4 ----> same group as above because shopname is same
  7      SHOP_C      5
  8      SHOP_B      6
  9      SHOP_B      6
  10     SHOP_E      7
  11     SHOP_A      8
  12     SHOP_D      9
  13     SHOP_D      9
  14     SHOP_F      10
  15     SHOP_G      11
  16     SHOP_F      12
  17     SHOP_C      13
  18     SHOP_C      13
  19     SHOP_C      13
  20     SHOP_C      13

  I want be done via Analytics, so that I can partition by clause for different stores in different cities
  
  concerning
  Ramis.

  with data(row_id, shop) as
  (
  select 1,      'SHOP_C' from dual union all
  select 2,      'SHOP_A' from dual union all
  select 3,      'SHOP_C' from dual union all
  select 4,      'SHOP_C' from dual union all
  select 5,      'SHOP_A' from dual union all
  select 6,      'SHOP_A' from dual union all
  select 7,      'SHOP_C' from dual union all
  select 8,      'SHOP_B' from dual union all
  select 9,      'SHOP_B' from dual union all
  select 10,     'SHOP_E' from dual union all
  select 11,     'SHOP_A' from dual union all
  select 12,     'SHOP_D' from dual union all
  select 13,     'SHOP_D' from dual union all
  select 14,     'SHOP_F' from dual union all
  select 15,     'SHOP_G' from dual union all
  select 16,     'SHOP_F' from dual union all
  select 17,     'SHOP_C' from dual union all
  select 18,     'SHOP_C' from dual union all
  select 19,     'SHOP_C' from dual union all
  select 20,     'SHOP_C' from dual
  ),
  get_data as
  (
    select row_id, shop,
           lag(shop) over (order by row_id) prev_shop
      from data
  )
  select row_id, shop,
         sum(case when shop = prev_shop
                    then  0
                    else 1
                    end
              ) over (order by row_id) grps
    from get_data;
  
  ROW_ID SHOP   GRPS
  ------ ------ ----
       1 SHOP_C    1
       2 SHOP_A    2
       3 SHOP_C    3
       4 SHOP_C    3
       5 SHOP_A    4
       6 SHOP_A    4
       7 SHOP_C    5
       8 SHOP_B    6
       9 SHOP_B    6
      10 SHOP_E    7
      11 SHOP_A    8
      12 SHOP_D    9
      13 SHOP_D    9
      14 SHOP_F   10
      15 SHOP_G   11
      16 SHOP_F   12
      17 SHOP_C   13
      18 SHOP_C   13
      19 SHOP_C   13
      20 SHOP_C   13 
  
   20 rows selected 
  

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  I wrote a program, can someone tell what I am doing wrong?

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  You use an Insert in the table VI, but it's not describe what you try to do.  While he places an element in the position shown is also increases the size of the table.

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