Update statement in sql

I want to update table xx whose column is yy
where column value is successful it should be updated with successfully recharged
where column value is failure it should be updated with permanently failed
Can both of these updates are possible in a single update statment
I am able to use
update xx set yy='Successfully Recharged' where yy='Successful' --for a single statement
Thanks,

You may also use DECODE like:
UPDATE xx
   SET yy =
          DECODE (yy,
                  'successful', 'successfully recharged',
                  'failure', 'permanently failed')
WHERE yy IN ('successful', 'failure')The where clause is mentioned if there were more values in yy column and we don't want to update those records.
Saad,

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  • Problem in Update Statement

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            -4           BED BATH
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            -4           BED & BATH
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  • DB13 CheckDb and Update Stats Error

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  • Copy records of one table into another using Update statement

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    c g
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    But as i said, get more specifications.
    Message was edited by:
    kjt
    Added the PS.

  • Update statement with CASE and banding

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    Please post DDL, so that people do not have to guess what the keys, constraints, Declarative Referential Integrity, data types, etc. in your schema are. Learn how to follow ISO-11179 data element naming conventions and formatting rules. Temporal data should
    use ISO-8601 formats. Code should be in Standard SQL as much as possible and not local dialect. 
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    >> I have two tables <<
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          ,aggregator_vpi_vci = field_2_n_3
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          ,aggregator_port = field5
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          ,aggregator_slot = field4
          ,aggregator_port = field5
    where user4 is not null; I think you can do the rest from here ;-)
    Regards
    Peter

  • How to convert the following FORALL Update to direct SQL UPDATE statement

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                                    'Tuesday', 'tu',
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    WHERE src.pc_flg='Y';
    118,000
    SELECT count(*)
    FROM ODS_CONTACTS_ADDR;
    671,925
    Database version 11g.
    Execution Plan for the update:
    Operation     Object Name     Rows     Bytes     Cost     Object Node     In/Out     PStart     PStop
    UPDATE STATEMENT Optimizer Mode=ALL_ROWS          6 K          8120                     
    UPDATE     ODW_OWN2.ODS_CONTACTS_ADDR                                   
    HASH JOIN SEMI          6 K     256 K     8120                     
    TABLE ACCESS FULL     ODW_OWN2.ODS_CONTACTS_ADDR     6 K     203 K     7181                     
    TABLE ACCESS FULL     ODW_OWN2.ODS_IDL_EDGE_CONT_XREF     118 K     922 K     938
    Edited by: user10566312 on May 14, 2012 1:07 AM

    The code tag should be in lower case like this {noformat}{noformat}. Otherwise your code format will be lost.
    Here is a update statementupdate ods_contacts_addr tgt
    set (
              best_times, odw_upd_by, odw_upd_dt, odw_upd_batch_id
         ) =
              select best_time, odw_upd_by, odw_upd_dt, odw_upd_batch_id
              from (
                   select listagg(tm, ' ') within group(order by con_addr_id) best_time,
                        'IDL - MASS MARKET' odw_upd_by,
                        sysdate odw_upd_dt,
                        '0' odw_upd_batch_id,
                        con_addr_id
                   from (
                             select Trim(Upper(con_addr_id)) con_addr_id,
                                  ||decode(Initcap(start_day), 'Monday', 'm', 'Tuesday', 'tu', 'Wednesday', 'w', 'Thursday', 'th', 'Friday', 'f', Initcap(start_day))
                                  ||'='
                                  ||trunc(((TO_DATE(start_tm,'HH12:MI:SS PM')-trunc(TO_DATE(start_tm,'HH12:MI:SS PM')))*24*60 ))
                                  ||','
                                  ||trunc(((TO_DATE(end_tm,'HH12:MI:SS PM')-trunc(TO_DATE(end_tm,'HH12:MI:SS PM')))*24*60)) tm
                             FROM (
                                  select distinct * from ods_idl_edge_offc_bst_tm
                             WHERE con_addr_id is not null
                   group
                   by con_addr_id
              where upper(tgt.edge_id) = con_addr_id
    where exists
              SELECT 1
              FROM ods_idl_edge_cont_xref src
              WHERE tgt.contacts_odw_id = src.contacts_odw_id
              AND src.pc_flg='Y'
    and exists
              select null
              from (
                   SELECT listagg(tm, ' ') WITHIN GROUP(ORDER BY con_addr_id) best_time,
                        'IDL - MASS MARKET' odw_upd_by,
                        SYSDATE odw_upd_dt,
                        '0' odw_upd_batch_id,
                        con_addr_id
                   FROM (
                             select Trim(Upper(con_addr_id)) con_addr_id,
                                  ||decode(Initcap(start_day), 'Monday', 'm', 'Tuesday', 'tu', 'Wednesday', 'w', 'Thursday', 'th', 'Friday', 'f', Initcap(start_day))
                                  ||'='
                                  ||trunc(((TO_DATE(start_tm,'HH12:MI:SS PM')-trunc(TO_DATE(start_tm,'HH12:MI:SS PM')))*24*60 ))
                                  ||','
                                  ||trunc(((TO_DATE(end_tm,'HH12:MI:SS PM')-trunc(TO_DATE(end_tm,'HH12:MI:SS PM')))*24*60)) tm
                             FROM (
                                  SELECT DISTINCT * FROM ODS_IDL_EDGE_OFFC_BST_TM
                             WHERE con_addr_id is not null
                   GROUP
                   BY con_addr_id
              where upper(tgt.edge_id) = con_addr_id
    This is an untested code. If there is any syntax error then please fix it and try.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               

  • SQL UPDATE Statement Explaination (urgent please...)

    Hi,
    Could anyone explain for me what this statement will do:
    update KPIR KR
    set ( CA ) = (
    select sum(sl.RRC_CONN_STP_ATT) CA
    from PV_WCEL_SERVICE_LEVEL sl, UTP_MO um
    where sl.GLOBAL_ID = um.CO_GID
    group by sl.STARTTIME, um.OBJECT_INSTANCE
    I could not understand how the mapping between the two tables will be ("um" clause is not used in the select statement and it is used only in the "where" and "group by" arguments) What does this mean?.
    The actual problem is that when I execute the above SQL statement, it was take around just 3 minutes to be implemented. But after we upgrade from Oracle 8 to Oracle 9, this statement is taking around 3 hours to be implemented.
    Anyone have any idea what is the problem?

    Below is the plan:
    KPIR table:
    RNC_ID (str), PST ('YYYYMMDD_HH24'), CA (Numner)
    1, 20061105_13, 0
    1, 20061105_14, 0
    1, 20061105_15, 0
    2, 20061105_13, 0
    2, 20061105_14, 0
    2, 20061105_15, 0
    3, 20061105_13, 0
    3, 20061105_14, 0
    3, 20061105_15, 0
    4, 20061105_13, 0
    4, 20061105_14, 0
    4, 20061105_15, 0
    PV_WCEL_SERVICE_LEVEL table:
    GLOBAL_ID (str), STARTTIME ('YYYYMMDD_HH24'), RRC_CONN_STP_ATT (Number)
    A1, 20061101_00, 9
    A1, 20061101_01, 4
    A1, 20061101_23, 3
    A1, 20061130_23, 4
    A2, 20061101_00, 3
    A2, 20061101_01, 4
    A2, 20061101_23, 1
    A2, 20061130_23, 5
    UTP_MO table;
    RNC_ID (str), GLOBAL_ID (str), OBJECT_INSTANCE (str)
    1, A1, <A1_NAME>
    1, A2, <A2_NAME>
    1, A9, <A9_NAME>
    2, B1, <B1_NAME>
    2, B2, <B2_NAME>
    2, B9, <B9_NAME>
    3, C1, <C1_NAME>
    3, C2, <C2_NAME>
    3, C9, <C9_NAME>
    4, D1, <D1_NAME>
    4, D2, <D2_NAME>
    4, D9, <D9_NAME>
    Now, I want to update the value of CA in table KPIR:
    For instance, for RNC_ID='1' and at PST='20061105_13', the CA should equals to the sum of value RRC_CONN_STP_ATT for all GLOBAL_IDs under RNC_ID='1' and at STARTTIME '20061105_13'.
    So, is this SQL UPDATE statement will do it?
    update KPIR kr
    set ( CA ) = (
    select sum(sl.RRC_CONN_STP_ATT) CA
    from PV_WCEL_SERVICE_LEVEL sl, UTP_MO um
    where sl.GLOBAL_ID = um.GLOBAL_ID and kr.RNC_ID = um.RNC_ID and kr.PST = sl.STARTTIME
    group by sl.STARTTIME, um.OBJECT_INSTANCE
    And if so, why it is taking around 3 hours to be implemented? This issue is happened after upgrading from Oracle 8 to 9.
    Really appreciate your help and thanks in advance.

  • SQL Update statement taking too long..

    Hi All,
    I have a simple update statement that goes through a table of 95000 rows that is taking too long to update; here are the details:
    Oracle Version: 11.2.0.1 64bit
    OS: Windows 2008 64bit
    desc temp_person;
    Name                                                                                Null?    Type
    PERSON_ID                                                                           NOT NULL NUMBER(10)
    DISTRICT_ID                                                                     NOT NULL NUMBER(10)
    FIRST_NAME                                                                                   VARCHAR2(60)
    MIDDLE_NAME                                                                                  VARCHAR2(60)
    LAST_NAME                                                                                    VARCHAR2(60)
    BIRTH_DATE                                                                                   DATE
    SIN                                                                                          VARCHAR2(11)
    PARTY_ID                                                                                     NUMBER(10)
    ACTIVE_STATUS                                                                       NOT NULL VARCHAR2(1)
    TAXABLE_FLAG                                                                                 VARCHAR2(1)
    CPP_EXEMPT                                                                                   VARCHAR2(1)
    EVENT_ID                                                                            NOT NULL NUMBER(10)
    USER_INFO_ID                                                                                 NUMBER(10)
    TIMESTAMP                                                                           NOT NULL DATE
    CREATE INDEX tmp_rs_PERSON_ED ON temp_person (PERSON_ID,DISTRICT_ID) TABLESPACE D_INDEX;
    Index created.
    ANALYZE INDEX tmp_PERSON_ED COMPUTE STATISTICS;
    Index analyzed.
    explain plan for update temp_person
      2  set first_name = (select trim(f_name)
      3                    from ext_names_csv
      4                               where temp_person.PERSON_ID=ext_names_csv.p_id
      5                               and   temp_person.DISTRICT_ID=ext_names_csv.ed_id);
    Explained.
    @?/rdbms/admin/utlxpls.sql
    PLAN_TABLE_OUTPUT
    Plan hash value: 3786226716
    | Id  | Operation                   | Name           | Rows  | Bytes | Cost (%CPU)| Time     |
    |   0 | UPDATE STATEMENT            |                | 82095 |  4649K|  2052K  (4)| 06:50:31 |
    |   1 |  UPDATE                     | TEMP_PERSON    |       |       |            |          |
    |   2 |   TABLE ACCESS FULL         | TEMP_PERSON    | 82095 |  4649K|   191   (1)| 00:00:03 |
    |*  3 |   EXTERNAL TABLE ACCESS FULL| EXT_NAMES_CSV  |     1 |   178 |    24   (0)| 00:00:01 |
    Predicate Information (identified by operation id):
       3 - filter("EXT_NAMES_CSV"."P_ID"=:B1 AND "EXT_NAMES_CSV"."ED_ID"=:B2)
    Note
       - dynamic sampling used for this statement (level=2)
    19 rows selected.By the looks of it the update is going to take 6 hrs!!!
    ext_names_csv is an external table that have the same number of rows as the PERSON table.
    ROHO@rohof> desc ext_names_csv
    Name                                                                                Null?    Type
    P_ID                                                                                         NUMBER
    ED_ID                                                                                        NUMBER
    F_NAME                                                                                       VARCHAR2(300)
    L_NAME                                                                                       VARCHAR2(300)Anyone can help diagnose this please.
    Thanks
    Edited by: rsar001 on Feb 11, 2011 9:10 PM

    Thank you all for the great ideas, you have been extremely helpful. Here is what we did and were able to resolve the query.
    We started with Etbin's idea to create a table from the ext table so that we can index and reference easier than an external table, so we did the following:
    SQL> create table ext_person as select P_ID,ED_ID,trim(F_NAME) fst_name,trim(L_NAME) lst_name from EXT_NAMES_CSV;
    Table created.
    SQL> desc ext_person
    Name                                                                                Null?    Type
    P_ID                                                                                         NUMBER
    ED_ID                                                                                        NUMBER
    FST_NAME                                                                                     VARCHAR2(300)
    LST_NAME                                                                                     VARCHAR2(300)
    SQL> select count(*) from ext_person;
      COUNT(*)
         93383
    SQL> CREATE INDEX EXT_PERSON_ED ON ext_person (P_ID,ED_ID) TABLESPACE D_INDEX;
    Index created.
    SQL> exec dbms_stats.gather_index_stats(ownname=>'APPD', indname=>'EXT_PERSON_ED',partname=> NULL , estimate_percent=> 30 );
    PL/SQL procedure successfully completed.We had a look at the plan with the original SQL query that we had:
    SQL> explain plan for update temp_person
      2  set first_name = (select fst_name
      3                    from ext_person
      4                               where temp_person.PERSON_ID=ext_person.p_id
      5                               and   temp_person.DISTRICT_ID=ext_person.ed_id);
    Explained.
    SQL> @?/rdbms/admin/utlxpls.sql
    PLAN_TABLE_OUTPUT
    Plan hash value: 1236196514
    | Id  | Operation                    | Name           | Rows  | Bytes | Cost (%CPU)| Time     |
    |   0 | UPDATE STATEMENT             |                | 93383 |  1550K|   186K (50)| 00:37:24 |
    |   1 |  UPDATE                      | TEMP_PERSON    |       |       |            |          |
    |   2 |   TABLE ACCESS FULL          | TEMP_PERSON    | 93383 |  1550K|   191   (1)| 00:00:03 |
    |   3 |   TABLE ACCESS BY INDEX ROWID| EXTT_PERSON    |     9 |  1602 |     1   (0)| 00:00:01 |
    |*  4 |    INDEX RANGE SCAN          | EXT_PERSON_ED  |     1 |       |     1   (0)| 00:00:01 |
    Predicate Information (identified by operation id):
       4 - access("EXT_PERSON"."P_ID"=:B1 AND "RS_PERSON"."ED_ID"=:B2)
    Note
       - dynamic sampling used for this statement (level=2)
    20 rows selected.As you can see the time has dropped to 37min (from 6 hrs). Then we decided to change the SQL query and use donisback's suggestion (using MERGE); we explained the plan for teh new query and here is the results:
    SQL> explain plan for MERGE INTO temp_person t
      2  USING (SELECT fst_name ,p_id,ed_id
      3  FROM  ext_person) ext
      4  ON (ext.p_id=t.person_id AND ext.ed_id=t.district_id)
      5  WHEN MATCHED THEN
      6  UPDATE set t.first_name=ext.fst_name;
    Explained.
    SQL> @?/rdbms/admin/utlxpls.sql
    PLAN_TABLE_OUTPUT
    Plan hash value: 2192307910
    | Id  | Operation            | Name         | Rows  | Bytes |TempSpc| Cost (%CPU)| Time     |
    |   0 | MERGE STATEMENT      |              | 92307 |    14M|       |  1417   (1)| 00:00:17 |
    |   1 |  MERGE               | TEMP_PERSON  |       |       |       |            |          |
    |   2 |   VIEW               |              |       |       |       |            |          |
    |*  3 |    HASH JOIN         |              | 92307 |    20M|  6384K|  1417   (1)| 00:00:17 |
    |   4 |     TABLE ACCESS FULL| TEMP_PERSON  | 93383 |  5289K|       |   192   (2)| 00:00:03 |
    |   5 |     TABLE ACCESS FULL| EXT_PERSON   | 92307 |    15M|       |    85   (2)| 00:00:02 |
    Predicate Information (identified by operation id):
       3 - access("P_ID"="T"."PERSON_ID" AND "ED_ID"="T"."DISTRICT_ID")
    Note
       - dynamic sampling used for this statement (level=2)
    21 rows selected.As you can see, the update now takes 00:00:17 to run (need to say more?) :)
    Thank you all for your ideas that helped us get to the solution.
    Much appreciated.
    Thanks

  • Sql Update Statement (complex)

    Hi ,
    A very good morning to all.
    I am stuck in a problem , and i really hope for solutiion.
    I have a dimension table (DIM_CAR) for which i need to write a update statement.
    My table structure is :
    C_ID           Startdate                       EndDate
    7546343    2012-05-29 00:00:00    NULL
    7546343    2012-05-18 00:00:00    2012-05-29 00:00:00
    7546343    2012-05-14 00:00:00    2012-05-18 00:00:00
    7546343    2012-05-10 00:00:00    2012-05-10 00:00:00
    7546343    2012-05-10 00:00:00    2012-05-14 00:00:00
    7546343    2012-03-22 00:00:00    2012-03-22 00:00:00
    7546343    2012-03-15 00:00:00    2012-03-22 00:00:00
    7546343    2012-02-02 00:00:00    2012-03-15 00:00:00
    7546343    2012-01-31 00:00:00    2012-02-02 00:00:00
    Now the scenario is Whenever any update comes in car , then it closes the previous record and open a new record(SCD)
    For e.g the 1st update comes on 2012-02-02 , so it closes the last record (by putting 2012-02-02) in end date and open a new record by putting 2012-02-02 in startdate. Then update comes in 2012-03-15 and so on. The last record is for 2012-05-29 which is
    still open as there is no update after that,
    so whenever any update come it opens a new record with startdate value is extract date and enddate value NULL and closes the previous. Then  after another update , that NULL value is replace by the new date and another record opens.
    My prob is if you will closely analyse the dates , then there are some records missing in the above table due to which there are discrepencies in dates.
    E.g. If u see the 6th row, startdate is 2012-03-22 and enddate is also 2012-03-22. But here in this case the enddate should be 2012-05-10(which is next update)
    I need to write a sql script to update enddates with the latest update startdate in my table. I have 60000 of C_id which are affected.
    COULD ANYONE plz Help.. I knw its difficult but u can give a try ..........Plz ask if anyone requires more info.
    Abhishek

    Please post DDL, so that people do not have to guess what the keys, constraints, Declarative Referential Integrity, data types, etc. in your schema are. Learn how to follow ISO-11179 data element naming conventions and formatting rules. Temporal data should
    use ISO-8601 formats. Code should be in Standard SQL as much as possible and not local dialect. 
    This is minimal polite behavior on SQL forums. 
    >> I have a dimension table (DIM_CAR) for which I need to write a update statement. My table structure is : <<
    NO! This is a picture of the data; it is not DDL! Is this what you would have posted if you had manners? 
    CREATE TABLE Foobars
    (c_id CHAR(7) NOT NULL, 
     foo_start_date DATE NOT NULL, 
     PRIMARY KEY (c_id, foo_start_date), -- my guess!!
     CHECK (foo_start_date < foo_end_date),-- another guess! 
     foo_end_date DATE);
    INSERT INTO Foobar
    VALUES 
    ('7546343', '2012-05-29', 'NULL), 
    ('7546343', '2012-05-18', '2012-05-29'), 
    ('7546343', '2012-05-14', '2012-05-18'), 
    ('7546343', '2012-05-10', '2012-05-10'), 
    ('7546343', '2012-05-10', '2012-05-14'), 
    ('7546343', '2012-03-22', '2012-03-22'), 
    ('7546343', '2012-03-15', '2012-03-22'), 
    ('7546343', '2012-02-02', '2012-03-15'), 
    ('7546343', '2012-01-31', '2012-02-02');
    Now the scenario is Whenever any update comes in car, then it closes the previous record [sic: rows are not records! Please learn basic terms] and open a new record [sic](SCD). 
    What is “SCD” and why do you think it is meaningful to us? Here is an article on this topic. 
    Modifying Contiguous Time Periods
    This article explains how to modify contiguous time periods that were described in Joe Celko’s article 'Contiguous Time Periods in SQL'.  Joe describes the table itself that he calls the 'Kuznetsov History Table'. He explains how it is used to store contiguous
    time intervals with constraint to ensure that the date periods really are contiguous, The editor suggested that I give a brief description of how to modify the data in the History table as this may not be entirely obvious.
    When trusted constraints enforce data integrity, the data is guaranteed to be valid at the end of any statement, even if it is not committed. When we modify contiguous time periods, in order to get from one valid state to another we may need to insert a row
    and update another one, or we may need to delete a row and update another one. This is one of those cases when MERGE really shines – it allows us to get from one valid state to another in one statement, inserting, updating, and deleting rows as needed.
    CREATE TABLE Tasks
    (task_id INT NOT NULL, 
     task_score INTEGER NOT NULL, 
     current_start_date DATE NOT NULL, 
     current_end_date DATE NOT NULL, 
     previous_end_date DATE NULL, 
     CONSTRAINT PK_Tasks_task_id_current_end_date 
     PRIMARY KEY (task_id, current_end_date), 
     CONSTRAINT UNQ_Tasks_task_id_previous_end_date 
      UNIQUE (task_id, previous_end_date), 
     CONSTRAINT FK_Tasks_task_id_previous_end_date 
      FOREIGN KEY (task_id, previous_end_date) 
      REFERENCES Tasks (task_id, current_end_date), 
     CONSTRAINT CHK_Tasks_previous_end_date_NotAfter_current_start_date 
      CHECK (previous_end_date <= current_start_date), 
     CONSTRAINT CHK_Tasks_current_start_date_Before_current_end_date 
      CHECK (current_start_date < current_end_date)
    Some Easy Modifications.
    It is easy to begin a new series of time periods
    INSERT INTO Tasks
      (task_id, task_score, current_start_date, current_end_date, previous_end_date)
    VALUES (1, 100, '2010-1002', '2010-1023', NULL),
           (1, 80, '2010-1023', '2010-11-03', '2010-1023');  
     It is just as easy to continue adding periods to the end of the series.
    INSERT INTO Tasks
      (task_id, task_score, current_start_date, current_end_date, previous_end_date)
    VALUES(1, 98, '2010-11-20', '2010-11-25', '2010-11-03'),
          (1, 75, '2010-11-26', '2010-11-27', '2010-11-25');
    Deleting one or more rows from the end is just as easy, and we shall skip the example. As we have seen, it is easy to perform typical, the most common operations against history of periods.
    However, some other operations are less easy and need more explanations. Now that we have enough test data, let us move on to more complex examples. Here is the test data at this moment: 
    Adding periods to the beginning.
    Each series of periods has exactly one first period – this is enforced by the following constraint: Unique_task_id_and_previous_end_date
    As a result, when we are inserting one or more periods to the beginning of the series, we have to update the period that used to be the first, as follows:
    MERGE INTO Tasks 
    USING (VALUES (1, 98, '2009-03-01', '2009-03-06', NULL),
                  (1, 100, '2010-10-02', '2010-10-23', '2009-03-06') 
           ) AS Source (task_id, task_score, current_start_date, current_end_date, previous_end_date)
       ON Tasks.task_id = Source.task_id
           AND Tasks.current_start_date = Source.current_start_date
    WHEN MATCHED 
    THEN UPDATE
         SET task_score = Source.task_score, 
             current_start_date = Source.current_start_date, 
             current_end_date = Source.current_end_date, 
             previous_end_date = Source.previous_end_date
    WHEN NOT MATCHED 
    THEN INSERT (task_id, task_score, current_start_date, current_end_date, previous_end_date)
     VALUES (Source.task_id, Source.task_score, Source.current_start_date,
             Source.current_end_date, Source.previous_end_date); 
    Now we will verify that our test data looks as expected, with a new row at the beginning, and previous_end_date column is modified to point to the new row for the row that used to be the first before this modification:
    We are also going to discuss some other scenarios, such as adding/deleting periods in the middle of the series. In all these cases we shall be using MERGE, and the DML looks quite similar, so let us wrap it up in a stored procedure.
    CREATING A STORED PROCEDURE
    The following code implements this merging functionality with a stored procedure that uses a table to hold teh new rows:
    CREATE TABLE NewTasks
    (task_id INTEGER NOT NULL, 
    task_score INTEGER NOT NULL, 
    current_start_date DATE NOT NULL, 
    current_end_date DATE NOT NULL, 
    previous_end_date DATE NULL,
    deletion_flg CHAR(1));
    CREATE PROCEDURE MergeNewTasks
    AS BEGIN 
    MERGE INTO Tasks 
    USING (SELECT task_id, task_score, current_start_date, current_end_date, previous_end_date, deletion_flg
             FROM NewTasks) AS Source
       ON Tasks.task_id = Source.task_id
          AND Tasks.current_start_date = Source.current_start_date
    WHEN MATCHED AND deletion_flg = 'Y'
    THEN DELETE
    WHEN MATCHED 
    THEN UPDATE SET
         task_score = Source.task_score, 
         current_start_date = Source.current_start_date, 
         current_end_date = Source.current_end_date, 
         previous_end_date = Source.previous_end_date
    WHEN NOT MATCHED 
    THEN INSERT (task_id, task_score, current_start_date, current_end_date, previous_end_date) 
     VALUES (Source.task_id, Source.task_score, Source.current_start_date, Source.current_end_date, Source.previous_end_date);
    END; 
    Let us use this stored procedure.
    Filling a gap in the middle of the series
    The following code fills the gap on November 25th.
    CREATE TABLE NewTasks (..);
    INSERT INTO NewTasks
      (task_id, task_score, current_start_date, current_end_date, previous_end_date, deletion_flg)
    VALUES (1, 75, '2010-11-25', '2010-11-26', '2010-11-25', 'N'),
     (1, 80, '2010-11-26', '2010-11-27', '2010-11-26', 'N');
    EXEC MergeNewTasks NewTasks = NewTasks;  
    Here is the data after this modification, with a period added in the middle fo the series:
    Deleting a period in the middle of the series
    The following code deletes the period added in the previous example.
    CREATE TABLE NewTasks (..);
    INSERT INTO NewTasks
      (task_id, task_score, current_start_date, current_end_date, 
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    VALUES (1, 75, '2010-11-25', '2010-11-26', '2010-11-25', 'Y'),
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    EXEC MergeNewTasks;  
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    Inserting two periods in the middle, and adjusting an exaisting period to make room for them. This is the last and most complex example involving our stored procedure:
    CREATE TABLE NewTasks (..);
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    --CELKO-- Books in Celko Series for Morgan-Kaufmann Publishing: Analytics and OLAP in SQL / Data and Databases: Concepts in Practice Data / Measurements and Standards in SQL SQL for Smarties / SQL Programming Style / SQL Puzzles and Answers / Thinking
    in Sets / Trees and Hierarchies in SQL

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    I'm currently poring through Sqlite and Javascript tomes to see if I can find what's missing but if anything else jumps out at you with the corrected code, I'd appreciate some ideas.
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