Helps with the UPDATE statement

Hello

I have a table like this:
create table test
(id number,
stat number,
id_num number);
data in the table:
insert into table test (id,stat,id_num) values (1,112,'');
insert into table test (id,stat,id_num) values (1,123,'');
insert into table test (id,stat,id_num) values (2,134,'');
insert into table test (id,stat,id_num) values (2,111,'');
insert into table test (id,stat,id_num) values (3,112,'');
insert into table test (id,stat,id_num) values (4,111,'');
insert into table test (id,stat,id_num) values (4,12,'');
insert into table test (id,stat,id_num) values (4,11,'');
I want to update the column id_num with serial number under the same ID.
Below is the table with coloumn successfully updated.
insert into table test (id,stat,id_num) values (1,112,1);
insert into table test (id,stat,id_num) values (1,123,2);
insert into table test (id,stat,id_num) values (2,134,1);
insert into table test (id,stat,id_num) values (2,111,2);
insert into table test (id,stat,id_num) values (3,112,1);
insert into table test (id,stat,id_num) values (4,111,1);
insert into table test (id,stat,id_num) values (4,12,2);
insert into table test (id,stat,id_num) values (4,11,3);
Can someone give me a hint how to remove this?

Thank you very much for your help!

user13071990 wrote:
Manik which is not a good solution because dat_document can also be duplicated.

Alberto is no uniq key in the table, which is the main problem.

It is not a good way to get the table without unique keys.

To work around the problem, I suggest that, despite the fact that I do not use virtual ROWID.

I did a test by inserting a date twice for the same id

insert into test (id,dat_document,id_num) values (4,to_date('01.07.2012','dd.mm.yyyy'),'');

Now, I used:

MERGE INTO test a
     USING (SELECT rowid
                 , ROW_NUMBER () OVER (PARTITION BY id ORDER BY dat_document) AS val
              FROM test) b
        ON (a.rowid = b.rowid)
WHEN MATCHED
THEN
   UPDATE SET id_num = val;

SELECT *
  FROM test
ORDER BY id, dat_document;

        ID DAT_DOCUMENT              ID_NUM
---------- --------------------- ----------
         1 01-01-2012 00:00:00            1
         1 01-02-2012 00:00:00            2
         2 01-03-2012 00:00:00            1
         2 01-04-2012 00:00:00            2
         3 01-05-2012 00:00:00            1
         4 01-06-2012 00:00:00            1
         4 01-07-2012 00:00:00            2
         4 01-07-2012 00:00:00            3
         4 01-08-2012 00:00:00            4

Kind regards.
Al

Tags: Database

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                     WHERE EXISTS (SELECT 1
                                   FROM NEWER_Table tt
                                   WHERE ta.cust_id = tt.cust_id
                                   AND ta.STAMP_DATE = tt.STAMP_DATE
                                   AND (NVL(ta.GTP, 'X') != NVL(tt.GTP, 'X'))); 
    Thank you!

    Hello

    Whenever you have a problem, please post a small example of data (CREATE TABLE and only relevant columns, INSERT statements) of all of the tables involved.
    Also post the results you want from this data, as well as an explanation of how you get these results from these data, with specific examples.
    If you ask on a DML statement, such as UPDATE, CREATE TABLE and INSERT statements need to re - create the tables as they are before the DML, and results will be the content of the or the tables changed when it's all over.
    See the FAQ forum {message identifier: = 9360002}

    MERGE peut be much faster than update; Sometimes, there is no significant difference in speed.
    Tables in multiple situations like this, I've never seen a case where the MERGER has been slower than the UPDATE, even if the UPDATE is sometimes easier to code and just as fast.

    Maybe that's what you want:

    MERGE INTO  older_table            dst
    USING  (
               SELECT  n.cust_id
            ,        n.stamp_date
            ,        n.gtp
            ,        ROW_NUMBER () OVER ( PARTITION BY  n.cust_id
                                               ,           n.stamp_date
                             ORDER BY      n.gtp
                              )                    AS r_num
            FROM        newer_table  n
            JOIN        older_table     o  ON   n.cust_id     = o.cust_id
                                 AND     n.stamp_date     = o.stamp_date
                           AND     NVL ( n.gtp
                                    , 'X'
                                 )          != NVL ( o.gtp
                                                  , 'X'
                                              )
    
           )                 src
    ON     (    src.cust_id            = dst.cust_id
           AND  src.stamp_date     = dst.stamp_date
           AND  src.r_num            = 1
           )
    WHEN MATCHED THEN UPDATE
    SET    dst.gtp          = src.gtp
    ,      dst.update_date     = SYSDATE
    ;
    

    As I can't test it, I can't be sure.

  • Need help with the update server behaviors and deleting records

    I am 'trying' to use the update and delete record server behaviors and I can't get the redirection page to set up correctly. What I'm trying to do, is to have the redirection came up with the right records depending on the CompId page. It seems that it is taking the CompId and agreementId (which are my unique ID) and use them in the url of the redirection page. Also, it updates the table. Here is the url that appears after I have send the update:

    http://localhost:8888/dotweb/maintenance/agreement_home.php?CompId= & agreementId = 7

    Here is the code for the update page:

    Name of the document
    Signed?
    First name
    Family name
    Date of signature

    Pending patent, trade mark, Tradesecret and straightened to copy recorded
    Copyright KML designs 2009

    Can someone tell me why it would show the CompId and agreementId when everything I asked the CompId? Thanks for your help. Just in case, I enclose you an html version of this file. It must be a php file, but is not one of the allowed file types.

    CompId is not filled in the URL because you try to use the result of the rsAgree recordset object until the result of the recordset is created. However, you pass the CompId value via array $_POST as a hidden field.

    Change this line (52):

    $updateGoTo = "agreement_home.php?CompId=" . $row_rsAgree['CompId'] . "";
    

    to do this:

    $updateGoTo = "agreement_home.php?CompId=" . $_POST['CompId'];
    
  • Performance issue with the Update statement

    Oracle 10204

    I have a problem related to updaing one performance table.
    only 5000 lines should be updated.
    Hir are some details on the tables/M.V concerned:
    TABLE_NAME     LAST_ANALYZED          NUM_ROWS     SAMPLE_SIZE
    PS_RF_INST_PROD     1/20/2010 1:14:22 AM     7194402          7194402
    BL_TMP_INTRNT     1/27/2010 9:08:54 AM     885445          885445
    NAP_INTERNET     1/25/2010 11:47:02 AM     7053990          560777
    I tried to run the update with two options:
    1. with the plan than oracle choose.
    2. with notes I added.
    In both cases I he collapsed after more than an hour.

    Can any one suggest how to speed it up?

    Below are for the two option tkprof.
    Please note that beside the defualt statistics on those tables i also gathered statistics on two column level as followed:
    BEGIN
      SYS.DBMS_STATS.GATHER_TABLE_STATS (
          OwnName        => 'B'
         ,TabName        => 'BL_TMP_INTRNT'
        ,Estimate_Percent  => 100
        ,Degree            => 8
        ,Cascade           => TRUE
        ,No_Invalidate     => FALSE);
    END;
    /
    
    exec dbms_stats.gather_table_stats('B' , 'BL_TMP_INTRNT', cascade=>TRUE, method_opt=>'for columns SERVICE_UID size 254');
    exec dbms_stats.gather_table_stats('B' , 'BL_TMP_INTRNT', cascade=>TRUE, method_opt=>'for columns FIX_IP_USER size 254');
    Plan 1
    UPDATE BL_TMP_INTRNT A
       SET A.FIX_IP_USER =
              (SELECT C.PRODUCT_ID
                 FROM NAP_INTERNET B, PS_RF_INST_PROD C
                WHERE B.INST_PROD_ID = A.SERVICE_UID
                  AND B.SETID = 'SHARE'
                  AND C.INST_PROD_ID = B.NAP_SURF_UID)
     WHERE A.TERM_DESC LIKE '%ip%'
    
    call     count       cpu    elapsed       disk      query    current        rows
    ------- ------  -------- ---------- ---------- ---------- ----------  ----------
    Parse        1      0.03       0.02          0          0          0           0
    Execute      1   1166.64    4803.78   17989002   18792167        117           0
    Fetch        0      0.00       0.00          0          0          0           0
    ------- ------  -------- ---------- ---------- ---------- ----------  ----------
    total        2   1166.67    4803.81   17989002   18792167        117           0
    
    Misses in library cache during parse: 1
    Optimizer mode: FIRST_ROWS
    Parsing user id: 13
    
    Rows     Row Source Operation
    -------  ---------------------------------------------------
          0  UPDATE  BL_TMP_INTRNT (cr=0 pr=0 pw=0 time=2 us)
         46   TABLE ACCESS FULL BL_TMP_INTRNT (cr=586400 pr=22228 pw=0 time=15333652 us)
         15   HASH JOIN  (cr=18170453 pr=17931639 pw=0 time=3991064192 us)
         46    MAT_VIEW ACCESS FULL NAP_INTERNET (cr=5659886 pr=5655436 pw=0 time=988162557 us)
    329499624    MAT_VIEW ACCESS FULL PS_RF_INST_PROD (cr=12545734 pr=12311281 pw=0 time=2636471644 us)
    plan 2
    UPDATE BL_TMP_INTRNT A
       SET A.FIX_IP_USER =
              (SELECT /*+ index(b NAP_INTERNET_PK) index(c PS_RF_INST_PROD_PK)*/ C.PRODUCT_ID
                 FROM NAP_INTERNET B, PS_RF_INST_PROD C
                WHERE B.INST_PROD_ID = A.SERVICE_UID
                  AND B.SETID = 'SHARE'
                  AND C.INST_PROD_ID = B.NAP_SURF_UID)
     WHERE A.TERM_DESC LIKE '%ip%'
    
    call     count       cpu    elapsed       disk      query    current        rows
    ------- ------  -------- ---------- ---------- ---------- ----------  ----------
    Parse        1      0.02       0.02          0          0          0           0
    Execute      1   4645.25    4613.70      95783   39798095        735           0
    Fetch        0      0.00       0.00          0          0          0           0
    ------- ------  -------- ---------- ---------- ---------- ----------  ----------
    total        2   4645.27    4613.73      95783   39798095        735           0
    
    Misses in library cache during parse: 1
    Optimizer mode: FIRST_ROWS
    Parsing user id: 13
    
    Rows     Row Source Operation
    -------  ---------------------------------------------------
          0  UPDATE  BL_TMP_INTRNT (cr=0 pr=0 pw=0 time=1 us)
        473   TABLE ACCESS FULL BL_TMP_INTRNT (cr=10461 pr=10399 pw=0 time=4629385 us)
        408   MAT_VIEW ACCESS BY INDEX ROWID PS_RF_INST_PROD (cr=39776109 pr=85381 pw=0 time=4605125045 us)
       1350    NESTED LOOPS  (cr=39784584 pr=84974 pw=0 time=4601874262 us)
        470     MAT_VIEW ACCESS BY INDEX ROWID NAP_INTERNET (cr=23569112 pr=50472 pw=0 time=2544364336 us)
        470      INDEX FULL SCAN NAP_INTERNET_PK (cr=23568642 pr=50005 pw=0 time=2540300981 us)(object id 11027362)
        408     INDEX FULL SCAN PS_RF_INST_PROD_PK (cr=16215472 pr=34502 pw=0 time=2057500175 us)(object id 10980137)
    
    
    Elapsed times include waiting on following events:
      Event waited on                             Times   Max. Wait  Total Waited
      ----------------------------------------   Waited  ----------  ------------
      db file scattered read                       1300        0.50          4.27
      db file sequential read                     85707        0.51         29.88
      latch: cache buffers chains                     1        0.00          0.00
      log file sync                                   1        0.00          0.00
      SQL*Net break/reset to client                   1        0.00          0.00
      SQL*Net message to client                       1        0.00          0.00
      SQL*Net message from client                     1       14.73         14.73
    ********************************************************************************

    The problem in your update statement that is the query in your set clause is executed many times that there are lines in BL_TMP_INTRNT of 'intellectual property' in their column of term_desc. You mentioned there are about 5000, then the query joining NAP_INTERNET with PS_RF_ISNT_PROD is begun 5000 times.
    The trick is to join only once, be updated using join views - provided that it is preserved - key or by using the merge statement.

    Here is an example:

    SQL> create table bl_tmp_intrnt (fix_ip_user,service_uid,term_desc)
      2  as
      3   select level
      4        , level
      5        , 'aipa'
      6     from dual
      7  connect by level <= 5000
      8  /
    
    Tabel is aangemaakt.
    
    SQL> create table nap_internet (inst_prod_id,setid,nap_surf_uid)
      2  as
      3   select level
      4        , 'SHARE'
      5        , level
      6     from dual
      7  connect by level <= 10
      8  /
    
    Tabel is aangemaakt.
    
    SQL> create table ps_rf_inst_prod (product_id,inst_prod_id)
      2  as
      3   select level
      4        , level
      5     from dual
      6  connect by level <= 10
      7  /
    
    Tabel is aangemaakt.
    
    SQL> exec dbms_stats.gather_table_stats(user,'bl_tmp_intrnt')
    
    PL/SQL-procedure is geslaagd.
    
    SQL> exec dbms_stats.gather_table_stats(user,'nap_internet')
    
    PL/SQL-procedure is geslaagd.
    
    SQL> exec dbms_stats.gather_table_stats(user,'ps_rf_inst_prod')
    
    PL/SQL-procedure is geslaagd.
    
    SQL> set serveroutput off
    SQL> update ( select a.fix_ip_user
      2                , c.product_id
      3             from bl_tmp_intrnt a
      4                , nap_internet b
      5                , ps_rf_inst_prod c
      6            where a.term_desc like '%ip%'
      7              and a.service_uid = b.inst_prod_id
      8              and b.setid = 'SHARE'
      9              and b.nap_surf_uid = c.inst_prod_id
     10         )
     11     set fix_ip_user = product_id
     12  /
       set fix_ip_user = product_id
           *
    FOUT in regel 11:
    .ORA-01779: cannot modify a column which maps to a non key-preserved table
    

    Join is one key kept in the case of b.inst_prod_id and c.inst_prod_id are unique. Please refer to the documentation for more information here: http://download.oracle.com/docs/cd/B19306_01/server.102/b14231/views.htm#sthref3055

    SQL> alter table nap_internet add primary key (inst_prod_id)
      2  /
    
    Tabel is gewijzigd.
    
    SQL> alter table ps_rf_inst_prod add primary key (inst_prod_id)
      2  /
    
    Tabel is gewijzigd.
    
    SQL> update /*+ gather_plan_statistics */
      2         ( select a.fix_ip_user
      3                , c.product_id
      4             from bl_tmp_intrnt a
      5                , nap_internet b
      6                , ps_rf_inst_prod c
      7            where a.term_desc like '%ip%'
      8              and a.service_uid = b.inst_prod_id
      9              and b.setid = 'SHARE'
     10              and b.nap_surf_uid = c.inst_prod_id
     11         )
     12     set fix_ip_user = product_id
     13  /
    
    10 rijen zijn bijgewerkt.
    
    SQL> select * from table(dbms_xplan.display_cursor(null,null,'allstats last'))
      2  /
    
    PLAN_TABLE_OUTPUT
    --------------------------------------------------------------------------------------------------------------------------------------
    SQL_ID  c7nqbxwzpyq5p, child number 0
    -------------------------------------
    update /*+ gather_plan_statistics */        ( select a.fix_ip_user               , c.product_id            from bl_tmp_intrnt
    a               , nap_internet b               , ps_rf_inst_prod c           where a.term_desc like '%ip%'             and
    a.service_uid = b.inst_prod_id             and b.setid = 'SHARE'             and b.nap_surf_uid = c.inst_prod_id        )
    set fix_ip_user = product_id
    
    Plan hash value: 1745632149
    
    ---------------------------------------------------------------------------------------------------------------------------------------
    | Id  | Operation                      | Name            | Starts | E-Rows | A-Rows |   A-Time   | Buffers |  OMem |  1Mem | Used-Mem |
    ---------------------------------------------------------------------------------------------------------------------------------------
    |   1 |  UPDATE                        | BL_TMP_INTRNT   |      1 |        |      0 |00:00:00.01 |      32 |       |       |          |
    |   2 |   NESTED LOOPS                 |                 |      1 |     10 |     10 |00:00:00.01 |      21 |       |       |          |
    |   3 |    MERGE JOIN                  |                 |      1 |     10 |     10 |00:00:00.01 |       9 |       |       |          |
    |*  4 |     TABLE ACCESS BY INDEX ROWID| NAP_INTERNET    |      1 |     10 |     10 |00:00:00.01 |       2 |       |       |          |
    |   5 |      INDEX FULL SCAN           | SYS_C00132995   |      1 |     10 |     10 |00:00:00.01 |       1 |       |       |          |
    |*  6 |     SORT JOIN                  |                 |     10 |    250 |     10 |00:00:00.01 |       7 |   267K|   256K|  237K (0)|
    |*  7 |      TABLE ACCESS FULL         | BL_TMP_INTRNT   |      1 |    250 |   5000 |00:00:00.01 |       7 |       |       |          |
    |   8 |    TABLE ACCESS BY INDEX ROWID | PS_RF_INST_PROD |     10 |      1 |     10 |00:00:00.01 |      12 |       |       |          |
    |*  9 |     INDEX UNIQUE SCAN          | SYS_C00132996   |     10 |      1 |     10 |00:00:00.01 |       2 |       |       |          |
    ---------------------------------------------------------------------------------------------------------------------------------------
    
    Predicate Information (identified by operation id):
    ---------------------------------------------------
    
       4 - filter("B"."SETID"='SHARE')
       6 - access("A"."SERVICE_UID"="B"."INST_PROD_ID")
           filter("A"."SERVICE_UID"="B"."INST_PROD_ID")
       7 - filter("A"."TERM_DESC" LIKE '%ip%')
       9 - access("B"."NAP_SURF_UID"="C"."INST_PROD_ID")
    
    32 rijen zijn geselecteerd.
    
    SQL> rollback
      2  /
    
    Rollback is voltooid.
    

    And it's your current statement. Please note the number of 5000 in the column begins:

    SQL> UPDATE /*+ gather_plan_statistics */ BL_TMP_INTRNT A
      2     SET A.FIX_IP_USER =
      3            (SELECT C.PRODUCT_ID
      4               FROM NAP_INTERNET B, PS_RF_INST_PROD C
      5              WHERE B.INST_PROD_ID = A.SERVICE_UID
      6                AND B.SETID = 'SHARE'
      7                AND C.INST_PROD_ID = B.NAP_SURF_UID)
      8   WHERE A.TERM_DESC LIKE '%ip%'
      9  /
    
    5000 rijen zijn bijgewerkt.
    
    SQL> select * from table(dbms_xplan.display_cursor(null,null,'allstats last'))
      2  /
    
    PLAN_TABLE_OUTPUT
    --------------------------------------------------------------------------------------------------------------------------------------
    SQL_ID  f1qtnpa0nmbh8, child number 0
    -------------------------------------
    UPDATE /*+ gather_plan_statistics */ BL_TMP_INTRNT A    SET A.FIX_IP_USER =           (SELECT
    C.PRODUCT_ID              FROM NAP_INTERNET B, PS_RF_INST_PROD C             WHERE B.INST_PROD_ID
    = A.SERVICE_UID               AND B.SETID = 'SHARE'               AND C.INST_PROD_ID =
    B.NAP_SURF_UID)  WHERE A.TERM_DESC LIKE '%ip%'
    
    Plan hash value: 3190675455
    
    -----------------------------------------------------------------------------------------------------------
    | Id  | Operation                     | Name            | Starts | E-Rows | A-Rows |   A-Time   | Buffers |
    -----------------------------------------------------------------------------------------------------------
    |   1 |  UPDATE                       | BL_TMP_INTRNT   |      1 |        |      0 |00:00:00.10 |    5076 |
    |*  2 |   TABLE ACCESS FULL           | BL_TMP_INTRNT   |      1 |    250 |   5000 |00:00:00.01 |       7 |
    |   3 |   NESTED LOOPS                |                 |   5000 |      1 |     10 |00:00:00.02 |      24 |
    |*  4 |    TABLE ACCESS BY INDEX ROWID| NAP_INTERNET    |   5000 |      1 |     10 |00:00:00.01 |      12 |
    |*  5 |     INDEX UNIQUE SCAN         | SYS_C00132995   |   5000 |      1 |     10 |00:00:00.01 |       2 |
    |   6 |    TABLE ACCESS BY INDEX ROWID| PS_RF_INST_PROD |     10 |     10 |     10 |00:00:00.01 |      12 |
    |*  7 |     INDEX UNIQUE SCAN         | SYS_C00132996   |     10 |      1 |     10 |00:00:00.01 |       2 |
    -----------------------------------------------------------------------------------------------------------
    
    Predicate Information (identified by operation id):
    ---------------------------------------------------
    
       2 - filter("A"."TERM_DESC" LIKE '%ip%')
       4 - filter("B"."SETID"='SHARE')
       5 - access("B"."INST_PROD_ID"=:B1)
       7 - access("C"."INST_PROD_ID"="B"."NAP_SURF_UID")
    
    29 rijen zijn geselecteerd.
    

    Kind regards
    Rob.

  • Helps with the update of Table

    Hi, I have a table created in book of recent years:

    idtable.png

    I would like to 'try' and just update with the new Word.docx

    word.png

    Is it EASY without complication or should I try and rebuild the table from scratch in Id?

    HOW THEN I update THE TABLE to ID card?

    Simply:

    (1) (copy the text of the .doc

    (2) select the text in the table Id, delete, paste

    This seems to have worked...

  • question using box with the update statement

    Hi all

    I have a region that uses a collection as its source and it has a check box. The intention is to check some lines and then use a PL/SQL block to update a table based on the audited lines. My problem is the table, I'm trying to update includes two primary keys.

    I need to find a way to get both keys on the checked lines. How can I do this? I can get the first of the box, but when I try to refer to something like apex_application.g_f08 I get only the value in the first line and NOT the lines checked.

    Here is my collection C007 represents ONE of the primary keys (header_id)

    SELECT APEX_ITEM. CHECKBOX(7,C007,'UNCHECKED') ""
    C001
    C002
    C003
    C004
    C005
    C006
    c007
    c008
    Of apex_collections
    WHERE collection_name = "UNGROUPED_SETS."
    order by C001, C002

    Here are the PL/SQL that performs the update...

    DECLARE

    vRowNumber PLS_INTEGER;
    l_rows_updated PLS_INTEGER: = 0;


    BEGIN

    -loop for checkboxs checkees
    If NVL (apex_application.g_f07. COUNTY, 0) > 0 THEN

    Start

    because me in 1... apex_application.g_f07. COUNTING loop

    -Updated forx_oe_line_partials with the data entered by the user in the region
    Update forx_oe_line_partials_mlob
    Set last_update_date = sysdate
    , last_updated_by =: P6_CREATED_BY
    , last_update_login =: P6_LAST_UPDATE_LOGIN
    , comment_for_invoice =: P6_INVOICE_COMMENTS
    where header_id = apex_application.g_f07 (i); -It works very well, but...
    - AND set_id =? -put the second primary key here!

    l_rows_updated: = l_rows_updated + sql rowcount %;

    end loop; -Box loop

    : P6_UPDATE_COUNT: = l_rows_updated;

    end;

    on the other

    raise_application_error (-20001, 'Check box unchecked.');

    end if;

    END; -End main;

    Check {message identifier: = 9430142}

  • Need help with the insert statement

    Hello

    I have a question on how to write a SQL statement.

    This is the table of "base":
    CREATE TABLE TEMP_TBL
    (
    id_nr NUMBER,
    DATE_DOK DATE,
    DATE_DUE DATE,
    DATE_DOK_PAY DATE,
    DEB NUMBER,
    KRD NUMBER
    );
    
    insert into temp_tbl (ID_NR,DATE_DOK,DATE_DUE,DATE_DOK_PAY,DEB,KRD)values('1',TO_DATE('11.01.2011','DD.MM.YYYY'),TO_DATE('25.02.2011','DD.MM.YYYY'),NULL,'423,24','0');
    insert into temp_tbl(ID_NR,DATE_DOK,DATE_DUE,DATE_DOK_PAY,DEB,KRD)values('2',TO_DATE('16.12.2011','DD.MM.YYYY'),TO_DATE('13.06.2011','DD.MM.YYYY'),NULL,'91270,15','0');
    insert into temp_tbl(ID_NR,DATE_DOK,DATE_DUE,DATE_DOK_PAY,DEB,KRD)values('3',TO_DATE('27.09.2011','DD.MM.YYYY'),TO_DATE('27.09.2011','DD.MM.YYYY'),NULL,'0','2000');
    and it comes to resoult in the target table. SQL statement must take care of the insert in a base of the target table table (example below is already provided with test data).
    create table table_sod
    (
    
          id_nr number
         ,date_from date
         ,date_to date
         ,deb_krd number
    
    );
    
    One thing to note here :  values in column deb_krd under insert 1 and 4 must be summarized in insert 4.
    
    insert into table_sod (id_nr,date_from,date_to,deb_krd) values('1',null,to_date('25.02.2011','dd.mm.yyyy'),'423,24');
    insert into table_sod(id_nr,date_from,date_to,deb_krd) values('2',to_date('26.02.2011','dd.mm.yyyy'),to_date('13.06.2011','dd.mm.yyyy'),'423,24');
    insert into table_sod(id_nr,date_from,date_to,deb_krd)values('3',null,to_date('13.06.2011','dd.mm.yyyy'),'91270,15');
    insert into table_sod(id_nr,date_from,date_to,deb_krd)values('4',to_date('14.06.2011','dd.mm.yyyy')to_date('27.09.2011','dd.mm.yyyy'),'91693,39');
    insert into table_sod(id_nr,date_from,date_to,deb_krd)values('5',null,to_date('27.09.2011','dd.mm.yyyy'),'2000');
    If someone could give me a helping hand how write correct insert statement I would be really gratefull.

    Thank you for your time!

    I came here with my own assumptions with this

    SQL> select rownum id_nr
      2       , date_from
      3       , date_to
      4       , case when date_from is null then deb
      5              else sum(case when date_from is not null then deb else 0end) over(order by id_nr, no)
      6         end deb_krd
      7    from (
      8            select id_nr
      9                 , case when lg_dt is null or ld_dt = date_due then  null else lg_dt+1 end date_from
     10                 , ld_dt date_to
     11                 , case when deb = 0 then krd else deb end deb
     12                 , no
     13              from (
     14                      select t1.*
     15                           , lead(t1.date_due) over(order by t1.id_nr, t2.no) ld_dt
     16                           , lag(t1.date_due) over(order by t1.id_nr, t2.no) lg_dt
     17                           , t2.no
     18                        from temp_tbl t1
     19                       cross
     20                       join (select 1 no from dual union all select 2 no from dual) t2
     21                       order by id_nr, no
     22                   )
     23             where ld_dt is not null
     24         )
     25  /
    
         ID_NR DATE_FROM DATE_TO      DEB_KRD
    ---------- --------- --------- ----------
             1           25-FEB-11      42324
             2 26-FEB-11 13-JUN-11      42324
             3           13-JUN-11    9127015
             4 14-JUN-11 27-SEP-11    9169339
             5           27-SEP-11       2000
     
    
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