Issue with fast refresh on a materialized view

Hi,
Oracle DB version is 10.2.0.3
We have a matierialized view created using this script. We have materialized view logs on these six tables.
By default, it is set to ON COMMIT .
When a batch job is run every morning (usually 100-200 records) we set it to ON DEMAND and then bring it back to ON COMMIT. It takes around 1-2 minutes.
If the batch is unusually big, like say 100,000 it takes more than 5 hours to put it back on ON COMMIT. (We analyze the schema (GATHER STALE) before refreshing the MV.) Trace shows deletes taking a long time.
When I see a big batch, I usually drop the view and recreate it with indexes (there is also a context index). Takes 30 mins to do the whole thing.
I tried refreshing it COMPLETE when the num of rows is high but it still takes more than 2 hours..(I killed it)
Is there any way to speed things up without dropping and recreating the MV ?
thanks
Mat view creation script:
CREATE MATERIALIZED VIEW WCC_INTERNAL_SEARCH_M
TABLESPACE ICV_TS_WCC_DATA
NOCACHE
LOGGING
NOCOMPRESS
NOPARALLEL
BUILD IMMEDIATE
REFRESH FAST ON COMMIT
WITH ROWID
AS
SELECT orgname.ROWID orgname_rowid,
cnt.ROWID cnt_rowid,
locgrp.ROWID locgrp_rowid,
cntry.ROWID cdcntry_rowid,
addrgrp.ROWID addrgrp_rowid,
addr.ROWID addr_rowid,
cnt.cont_id cont_id,
decode(cntry.name,'US',substr(addr.postal_code,1,5),addr.postal_code) postal_code,
cntry.name country,
UPPER(addr.addr_line_one) addr_line_one,
UPPER(addr.addr_line_two) addr_line_two,
UPPER(addr.addr_line_three) addr_line_three,
UPPER(addr.CITY_NAME) city_name,
UPPER(cnt.CONTACT_NAME) display_name,
UPPER(orgname.ORG_NAME) org_name,
addr.prov_state_tp_cd
FROM orgname,
contact cnt,
locationgroup locgrp,
cdcountrytp cntry,
addressgroup addrgrp,
address addr
WHERE locgrp.cont_id = orgname.cont_id
AND locgrp.cont_id = cnt.cont_id
AND addrgrp.location_group_id = locgrp.location_group_id
AND addr.country_tp_cd = cntry.country_tp_cd
AND addr.address_id = addrgrp.address_id
AND cnt.INACTIVATED_DT is null
AND locgrp.END_DT is null
AND orgname.END_DT is null
AND cnt.person_org_code = 'O'
AND cntry.lang_tp_cd = 100
AND locgrp.member_ind = 'Y'
AND locgrp.loc_group_tp_code = 'A'
ORDER by org_name,city_name,postal_code,country;

This is the script that creates the preferences and then the context index.
exec ctx_ddl.create_preference('STEM_FUZZY_PREF', 'BASIC_WORDLIST');
exec ctx_ddl.set_attribute('STEM_FUZZY_PREF','FUZZY_MATCH','AUTO');
exec ctx_ddl.set_attribute('STEM_FUZZY_PREF','FUZZY_SCORE','60');
exec ctx_ddl.set_attribute('STEM_FUZZY_PREF','FUZZY_NUMRESULTS','100');
exec ctx_ddl.set_attribute('STEM_FUZZY_PREF','STEMMER','AUTO');
exec ctx_ddl.set_attribute('STEM_FUZZY_PREF', 'wildcard_maxterms',15000) ;
exec ctx_ddl.create_preference('LEXTER_PREF', 'BASIC_LEXER');
exec ctx_ddl.set_attribute('LEXTER_PREF','index_stems', 'ENGLISH');
exec ctx_ddl.set_attribute('LEXTER_PREF','skipjoins',',''."+/-&');
exec ctx_ddl.create_preference('ICV_WCC_INT_SEARCH_CTX_PREF', 'BASIC_STORAGE');
exec ctx_ddl.set_attribute('ICV_WCC_INT_SEARCH_CTX_PREF', 'I_TABLE_CLAUSE','tablespace ICV_TS_CTX_IDX');
exec ctx_ddl.set_attribute('ICV_WCC_INT_SEARCH_CTX_PREF', 'K_TABLE_CLAUSE','tablespace ICV_TS_CTX_IDX');
exec ctx_ddl.set_attribute('ICV_WCC_INT_SEARCH_CTX_PREF', 'N_TABLE_CLAUSE','tablespace ICV_TS_CTX_IDX');
exec ctx_ddl.set_attribute('ICV_WCC_INT_SEARCH_CTX_PREF', 'I_INDEX_CLAUSE','tablespace ICV_TS_CTX_IDX compress 2');
exec ctx_ddl.set_attribute('ICV_WCC_INT_SEARCH_CTX_PREF', 'P_TABLE_CLAUSE','tablespace ICV_TS_CTX_IDX');
exec ctx_ddl.set_attribute('ICV_WCC_INT_SEARCH_CTX_PREF', 'R_TABLE_CLAUSE','tablespace ICV_TS_CTX_IDX');
CREATE INDEX WCC_INT_SEARCH_CTX_I1 ON WCC_INTERNAL_SEARCH_M
(ORG_NAME)
INDEXTYPE IS CTXSYS.CTXCAT
PARAMETERS('Wordlist STEM_FUZZY_PREF
LEXER LEXTER_PREF
STORAGE ICV_WCC_INT_SEARCH_CTX_PREF');
DB is 10.2.0.3

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    OLAP Blog: http://oracleOLAP.blogspot.com/
    OLAP Wiki: http://wiki.oracle.com/page/Oracle+OLAP+Option
    DM Blog: http://oracledmt.blogspot.com/
    OWB Blog : http://blogs.oracle.com/warehousebuilder/
    OWB Wiki : http://wiki.oracle.com/page/Oracle+Warehouse+Builder
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    ISSUE_OPEN_MV                  15-NOV-10
    *note: table was created a couple of days ago *
    SQL> exec dbms_mview.explain_mview('TG.ISSUE_OPEN_MV');
    CAPABILITY_NAME                P REL_TEXT MSGTXT
    PCT                            N
    REFRESH_COMPLETE               Y
    REFRESH_FAST                   Y
    REWRITE                        Y
    PCT_TABLE                      N ACTION   relation is not a partitioned table
    REFRESH_FAST_AFTER_INSERT      Y
    REFRESH_FAST_AFTER_ANY_DML     Y
    REFRESH_FAST_PCT               N          PCT is not possible on any of the detail tables in the mater
    REWRITE_FULL_TEXT_MATCH        Y
    REWRITE_PARTIAL_TEXT_MATCH     Y
    REWRITE_GENERAL                Y
    REWRITE_PCT                    N          general rewrite is not possible or PCT is not possible on an
    PCT_TABLE_REWRITE              N ACTION   relation is not a partitioned table
    13 rows selected.Fast refresh works fine. And the log is kept quite small.
    SQL> select count(*) from mlog$_action;
      COUNT(*)
             0When I update one row in the base table:
    var in_action_id number;
    exec :in_action_id := 398385;
    UPDATE action
    SET emailed_customer = SYSTIMESTAMP
    WHERE pk_action_id = :in_action_id
    AND DECODE(emailed_customer, NULL, 0, 1) = 0
    commit;I see the following happen via tkprof...
    INSERT /*+ IDX(0) */ INTO "TG"."MLOG$_ACTION" (dmltype$$,old_new$$,snaptime$$,
      change_vector$$,sequence$$,m_row$$,"PK_ACTION_ID","DATE_OPENED",
      "FK_ISSUE_ID")
    VALUES
    (:d,:o,to_date('4000-01-01:00:00:00','YYYY-MM-DD:HH24:MI:SS'),:c,
      sys.cdc_rsid_seq$.nextval,:m,:1,:2,:3)
    call     count       cpu    elapsed       disk      query    current        rows
    Parse        1      0.00       0.01          0          0          0           0
    Execute      2      0.00       0.03          4          4          4           2
    Fetch        0      0.00       0.00          0          0          0           0
    total        3      0.00       0.04          4          4          4           2
    Misses in library cache during parse: 1
    Misses in library cache during execute: 1
    Optimizer mode: CHOOSE
    Parsing user id: SYS   (recursive depth: 1)
    Rows     Row Source Operation
          2  SEQUENCE  CDC_RSID_SEQ$ (cr=0 pr=0 pw=0 time=28 us)
    Elapsed times include waiting on following events:
      Event waited on                             Times   Max. Wait  Total Waited
      ----------------------------------------   Waited  ----------  ------------
      db file sequential read                         4        0.01          0.01
    update "TG"."MLOG$_ACTION" set snaptime$$ = :1
    where
    snaptime$$ > to_date('2100-01-01:00:00:00','YYYY-MM-DD:HH24:MI:SS')
    call     count       cpu    elapsed       disk      query    current        rows
    Parse        1      0.00       0.01          0          0          0           0
    Execute      1      0.94       5.36      55996      56012          1           2
    Fetch        0      0.00       0.00          0          0          0           0
    total        2      0.94       5.38      55996      56012          1           2
    Misses in library cache during parse: 1
    Misses in library cache during execute: 1
    Optimizer mode: CHOOSE
    Parsing user id: SYS   (recursive depth: 1)
    Rows     Row Source Operation
          0  UPDATE  MLOG$_ACTION (cr=56012 pr=55996 pw=0 time=5364554 us)
          2   TABLE ACCESS FULL MLOG$_ACTION (cr=56012 pr=55996 pw=0 time=46756 us)
    Elapsed times include waiting on following events:
      Event waited on                             Times   Max. Wait  Total Waited
      ----------------------------------------   Waited  ----------  ------------
      db file scattered read                       3529        0.02          4.91
    select dmltype$$, max(snaptime$$)
    from
    "TG"."MLOG$_ACTION"  where snaptime$$ <= :1  group by dmltype$$
    call     count       cpu    elapsed       disk      query    current        rows
    Parse        1      0.00       0.00          0          0          0           0
    Execute      1      0.00       0.00          0          0          0           0
    Fetch        2      0.70       0.68      55996      56012          0           1
    total        4      0.70       0.68      55996      56012          0           1
    Misses in library cache during parse: 1
    Misses in library cache during execute: 1
    Optimizer mode: CHOOSE
    Parsing user id: SYS   (recursive depth: 1)
    Rows     Row Source Operation
          1  SORT GROUP BY (cr=56012 pr=55996 pw=0 time=685671 us)
          2   TABLE ACCESS FULL MLOG$_ACTION (cr=56012 pr=55996 pw=0 time=1851 us)
    Elapsed times include waiting on following events:
      Event waited on                             Times   Max. Wait  Total Waited
      ----------------------------------------   Waited  ----------  ------------
      db file scattered read                       3529        0.00          0.38
    delete from "TG"."MLOG$_ACTION"
    where
    snaptime$$ <= :1
    call     count       cpu    elapsed       disk      query    current        rows
    Parse        1      0.00       0.00          0          0          0           0
    Execute      1      0.71       0.70      55946      56012          3           2
    Fetch        0      0.00       0.00          0          0          0           0
    total        2      0.71       0.70      55946      56012          3           2
    Misses in library cache during parse: 1
    Misses in library cache during execute: 1
    Optimizer mode: CHOOSE
    Parsing user id: SYS   (recursive depth: 1)
    Rows     Row Source Operation
          0  DELETE  MLOG$_ACTION (cr=56012 pr=55946 pw=0 time=702813 us)
          2   TABLE ACCESS FULL MLOG$_ACTION (cr=56012 pr=55946 pw=0 time=1814 us)
    Elapsed times include waiting on following events:
      Event waited on                             Times   Max. Wait  Total Waited
      ----------------------------------------   Waited  ----------  ------------
      db file scattered read                       3530        0.00          0.39
      db file sequential read                        33        0.00          0.00
    ********************************************************************************Could someone explain why are the SELECT/UPDATE/DELETE on MLOG$_ACTION so "expensive" when there should only be 2 rows (old value and new value) in that log after an update? Is there anything I could do to improve the performance of the update?
    Let me know if you require more info...would be glad to provide it.

    Brilliant. Thanks.
    I owe you a beverage.
    SQL> set autotrace on
    SQL> select count(*) from MLOG$_ACTION;
      COUNT(*)
             0
    Execution Plan
    Plan hash value: 2727134882
    | Id  | Operation          | Name         | Rows  | Cost (%CPU)| Time     |
    |   0 | SELECT STATEMENT   |              |     1 | 12309   (1)| 00:02:28 |
    |   1 |  SORT AGGREGATE    |              |     1 |            |          |
    |   2 |   TABLE ACCESS FULL| MLOG$_ACTION |     1 | 12309   (1)| 00:02:28 |
    Note
       - dynamic sampling used for this statement
    Statistics
              4  recursive calls
              0  db block gets
          56092  consistent gets
          56022  physical reads
              0  redo size
            410  bytes sent via SQL*Net to client
            400  bytes received via SQL*Net from client
              2  SQL*Net roundtrips to/from client
              0  sorts (memory)
              0  sorts (disk)
              1  rows processed
    SQL> truncate table MLOG$_ACTION;
    Table truncated.
    SQL> select count(*) from MLOG$_ACTION;
      COUNT(*)
             0
    Execution Plan
    Plan hash value: 2727134882
    | Id  | Operation          | Name         | Rows  | Cost (%CPU)| Time     |
    |   0 | SELECT STATEMENT   |              |     1 |     2   (0)| 00:00:01 |
    |   1 |  SORT AGGREGATE    |              |     1 |            |          |
    |   2 |   TABLE ACCESS FULL| MLOG$_ACTION |     1 |     2   (0)| 00:00:01 |
    Note
       - dynamic sampling used for this statement
    Statistics
              1  recursive calls
              1  db block gets
              6  consistent gets
              0  physical reads
             96  redo size
            410  bytes sent via SQL*Net to client
            400  bytes received via SQL*Net from client
              2  SQL*Net roundtrips to/from client
              0  sorts (memory)
              0  sorts (disk)
              1  rows processedJust for fun...comparison of the TKPROF.
    Before:
    update "TG"."MLOG$_ACTION" set snaptime$$ = :1
    where
    snaptime$$ > to_date('2100-01-01:00:00:00','YYYY-MM-DD:HH24:MI:SS')
    call     count       cpu    elapsed       disk      query    current        rows
    Parse        1      0.00       0.01          0          0          0           0
    Execute      1      0.94       5.36      55996      56012          1           2
    Fetch        0      0.00       0.00          0          0          0           0
    total        2      0.94       5.38      55996      56012          1           2
    Misses in library cache during parse: 1
    Misses in library cache during execute: 1
    Optimizer mode: CHOOSE
    Parsing user id: SYS   (recursive depth: 1)
    Rows     Row Source Operation
          0  UPDATE  MLOG$_ACTION (cr=56012 pr=55996 pw=0 time=5364554 us)
          2   TABLE ACCESS FULL MLOG$_ACTION (cr=56012 pr=55996 pw=0 time=46756 us)
    Elapsed times include waiting on following events:
      Event waited on                             Times   Max. Wait  Total Waited
      ----------------------------------------   Waited  ----------  ------------
      db file scattered read                       3529        0.02          4.91
    ********************************************************************************After:
    update "TG"."MLOG$_ACTION" set snaptime$$ = :1
    where
    snaptime$$ > to_date('2100-01-01:00:00:00','YYYY-MM-DD:HH24:MI:SS')
    call     count       cpu    elapsed       disk      query    current        rows
    Parse        1      0.00       0.00          0          0          0           0
    Execute      1      0.00       0.00          0          7          1           2
    Fetch        0      0.00       0.00          0          0          0           0
    total        2      0.00       0.00          0          7          1           2
    Misses in library cache during parse: 1
    Misses in library cache during execute: 1
    Optimizer mode: CHOOSE
    Parsing user id: SYS   (recursive depth: 1)
    Rows     Row Source Operation
          0  UPDATE  MLOG$_ACTION (cr=7 pr=0 pw=0 time=79 us)
          2   TABLE ACCESS FULL MLOG$_ACTION (cr=7 pr=0 pw=0 time=28 us)
    ********************************************************************************

  • Any way to materialize with fast refresh this query?

    I have three tables, A, B, C
    my query is:
    select
    from
    A
    inner join B on B.col=A.col
    left join C on C.b_id=B.id and C.a_id=A.id
    in essence, C is overriding a value from B in case it exists. I use this join often so I'd like to materialize it for performance reasons. The problem is, Mview requires traditional syntax (why is that??) which does not support joining C on two tables. Any way around this?
    Thanks

    Jernej Kase wrote:
    The problem is, Mview requires traditional syntax (why is that??) which does not support joining C on two tables. Any way around this?Hi Jernej,
    Your analysis is right. I don't know why MV's don't support ANSI join syntax, but I have encountered it before. Probably because when MV's where introduced, the ANSI join didn't exist in Oracle yet. But there is a way around this.
    First, reproducing your situation:
    SQL> create table a(id,col)
      2  as
      3  select 1, 'name 1' from dual union all
      4  select 2, 'name 2' from dual union all
      5  select 3, 'name 3' from dual
      6  /
    Tabel is aangemaakt.
    SQL> create table b (id,col)
      2  as
      3  select 1, 'name 1' from dual union all
      4  select 2, 'name 2' from dual union all
      5  select 3, 'name 3' from dual
      6  /
    Tabel is aangemaakt.
    SQL> create table c (a_id,b_id,col)
      2  as
      3  select 2, 2, 'name c2' from dual union all
      4  select 3, 3, 'name c3' from dual union all
      5  select 4, 4, 'name c4' from dual
      6  /
    Tabel is aangemaakt.
    SQL> alter table a add primary key (id)
      2  /
    Tabel is gewijzigd.
    SQL> alter table b add primary key (id)
      2  /
    Tabel is gewijzigd.
    SQL> alter table c add primary key (a_id,b_id)
      2  /
    Tabel is gewijzigd.
    SQL> select
      2  *
      3  from
      4  A
      5  inner join B on B.col=A.col
      6  left join C on C.b_id=B.id and C.a_id=A.id
      7  /
       ID COL       ID COL     A_ID  B_ID COL
        1 name 1     1 name 1
        2 name 2     2 name 2     2     2 name c2
        3 name 3     3 name 3     3     3 name c3
    3 rijen zijn geselecteerd.
    SQL> create materialized view log on a with rowid
      2  /
    Gematerialiseerde viewlog is aangemaakt.
    SQL> create materialized view log on b with rowid
      2  /
    Gematerialiseerde viewlog is aangemaakt.
    SQL> create materialized view log on c with rowid
      2  /
    Gematerialiseerde viewlog is aangemaakt.
    SQL> create materialized view abc_mv
      2    refresh fast on commit
      3  as
      4  select a.rowid a_rowid
      5       , b.rowid b_rowid
      6       , c.rowid c_rowid
      7       , a.id    a_id
      8       , b.id    b_id
      9       , a.col   a_col
    10       , b.col   b_col
    11       , c.col   c_col
    12    from A
    13         inner join B on B.col=A.col
    14         left join C on C.b_id=B.id and C.a_id=A.id
    15  /
           left join C on C.b_id=B.id and C.a_id=A.id
    FOUT in regel 14:
    .ORA-12054: cannot set the ON COMMIT refresh attribute for the materialized viewTo circumvent this error message, the only option I see is to use nested MV's like this:
    SQL> create materialized view ab_mv
      2    refresh fast on commit
      3  as
      4  select a.rowid a_rowid
      5       , b.rowid b_rowid
      6       , a.id    a_id
      7       , b.id    b_id
      8       , a.col   a_col
      9       , b.col   b_col
    10    from a
    11       , b
    12   where a.col = b.col
    13  /
    Gematerialiseerde view is aangemaakt.
    SQL> create materialized view log on ab_mv with rowid
      2  /
    Gematerialiseerde viewlog is aangemaakt.
    SQL> create materialized view abc_mv
      2    refresh fast on commit
      3  as
      4  select ab.rowid ab_rowid
      5       , c.rowid  c_rowid
      6       , ab.a_id  a_id
      7       , ab.b_id  b_id
      8       , ab.a_col a_col
      9       , ab.b_col b_col
    10       , c.col    c_col
    11    from ab_mv ab
    12       , c
    13   where ab.a_id = c.a_id (+)
    14     and ab.b_id = c.b_id (+)
    15  /
    Gematerialiseerde view is aangemaakt.And to show that this works:
    SQL> select * from abc_mv
      2  /
    AB_ROWID           C_ROWID             A_ID  B_ID A_COL  B_COL  C_COL
    AAGpZ4AAQAAAS2sAAA                        1     1 name 1 name 1
    AAGpZ4AAQAAAS2sAAB AAGpZxAAQAAAMrUAAA     2     2 name 2 name 2 name c2
    AAGpZ4AAQAAAS2sAAC AAGpZxAAQAAAMrUAAB     3     3 name 3 name 3 name c3
    3 rijen zijn geselecteerd.
    SQL> update c set col = 'name c9' where a_id = 2
      2  /
    1 rij is bijgewerkt.
    SQL> commit
      2  /
    Commit is voltooid.
    SQL> select * from abc_mv
      2  /
    AB_ROWID           C_ROWID             A_ID  B_ID A_COL  B_COL  C_COL
    AAGpZ4AAQAAAS2sAAA                        1     1 name 1 name 1
    AAGpZ4AAQAAAS2sAAB AAGpZxAAQAAAMrUAAA     2     2 name 2 name 2 name c9
    AAGpZ4AAQAAAS2sAAC AAGpZxAAQAAAMrUAAB     3     3 name 3 name 3 name c3
    3 rijen zijn geselecteerd.
    SQL> insert into c values (1, 1, 'bla')
      2  /
    1 rij is aangemaakt.
    SQL> commit
      2  /
    Commit is voltooid.
    SQL> select * from abc_mv
      2  /
    AB_ROWID           C_ROWID             A_ID  B_ID A_COL  B_COL  C_COL
    AAGpZ4AAQAAAS2sAAA AAGpZxAAQAAAMrVAAA     1     1 name 1 name 1 bla
    AAGpZ4AAQAAAS2sAAB AAGpZxAAQAAAMrUAAA     2     2 name 2 name 2 name c9
    AAGpZ4AAQAAAS2sAAC AAGpZxAAQAAAMrUAAB     3     3 name 3 name 3 name c3
    3 rijen zijn geselecteerd.Regards,
    Rob.

  • Refresh of a materialized view

    Hi All!
    I have a materialized view defined like:
    CREATE MATERIALIZED VIEW v_ship_info_new
    PCTFREE 5 PCTUSED 60
    TABLESPACE DATA_BIG
    STORAGE
    INITIAL 32768K
    MINEXTENTS 1
    MAXEXTENTS UNLIMITED
    USING INDEX STORAGE (INITIAL 2M NEXT 500K)
    REFRESH START WITH ROUND(SYSDATE + 1) + 08/24
    NEXT ROUND(SYSDATE + 2) + 08/24
    AS
    SELECT .....
    The view was created on Sep.-13-2005. I expected that the view will be refreshed today at 08:00 AM, but the last_ddl_time in user_objects is Sep.-18-2005 and the data in the view is also from Sep.-18-2005. There is no time filter in SELECT statement. The view should shows a result of left outer join of two tables.
    Any idea?
    Thanks,
    Andrej

    Andrej,
    You should consider the NEXT interval relative to the last materialized view refresh. Reading your materialized view definition it results that:
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    - the materialized view is then refreshed on 16-sep at 8:00 am, 18-sep at 8:00 am (ROUND(SYSDATE + 2) + 08/24)
    Considering you have specified the START WITH clause in your command, the NEXT date should be considered starting from the timestamp of the last refresh and not from the moment of the materialized view creation.
    Regards,
    Adi

  • Refresh time for Materialized View

    Hi,
    I have created a materialized view and set it to refresh everyday at 4 am . When I check the status of the job , it shows the refresh timing between 20 mins to 4 hours . That means , some times it takes 20 mins to refresh , some times 40 , some time 2 hours and some times up to 4 hours. Any reason for the wide range ? Here is the query for the view.
    CREATE MATERIALIZED VIEW BDS_COST_CATEGORY_MV
      ORGANIZATION HEAP PCTFREE 10 PCTUSED 40 INITRANS 1 MAXTRANS 255 NOCOMPRESS LOGGING
      STORAGE(INITIAL 65536 NEXT 1048576 MINEXTENTS 1 MAXEXTENTS 2147483645
      PCTINCREASE 0 FREELISTS 1 FREELIST GROUPS 1 BUFFER_POOL DEFAULT)
      TABLESPACE "USERS"
      BUILD IMMEDIATE
      USING INDEX
      REFRESH COMPLETE ON DEMAND START WITH sysdate+0 NEXT ROUND(SYSDATE + 1) + 4/24
      USING DEFAULT LOCAL ROLLBACK SEGMENT
      DISABLE QUERY REWRITE
      AS    SELECT  AC.ACCOUNT_MANAGER, AC.ACCOUNT_NUMBER,
                    AC.ACCOUNT_NAME, DIV.DIVISION_NUMBER, ITEM.CODE_ID,
                    ITEM.CODE_NAME COST_CATEGORY_ITEM,
                    TO_NUMBER(TO_CHAR(AP.FIRST_DAY,'YYYY')) PERIOD_YEAR, 
                    AP.FIRST_DAY PERIOD,
                    SUM(NVL(AD.CURRENT_EXPENSE,0)) EXPENSE
            FROM ACCOUNTS AC, PERSONNEL AC_MGR, DIVISIONS DIV, ASR_HEADERS AH , ASR_DETAILS AD, CODES ITEM, CODES COSTCAT, ALL_PERIODS  AP,
                    CODES COST_ELEMENT, ACCOUNTING_BASE_GROUP ABG
            WHERE   AC.ACCOUNT_MANAGER = AC_MGR.PERSONNEL_ID
            AND     AC_MGR.DIVISION_ID = DIV.DIVISION_ID (+)
            AND     AC.ACCOUNT_ID = AH.ACCOUNT_ID
            AND     AH.ASR_HEADER_ID = AD.ASR_HEADER_ID
            AND     AH.PERIOD_ASR = AP.FISCAL_SYSTEM_PERIOD_CAL_YR_EQ||', '|| AP.FISCAL_YEAR
            AND     ABG.COST_ELEMENT_CAT_ITEM_ID = ITEM.CODE_ID 
            AND     COST_ELEMENT.CODE_ID = ABG.COST_ELEMENT_ID
            AND     AD.OBJECT_CODE = COST_ELEMENT.CODE_VALUE
            AND     ITEM.CODE_PARENT_ID = COSTCAT.CODE_ID
            AND     ( COSTCAT.CODE_NAME = 'BDS' OR ( COSTCAT.CODE_NAME = 'Base' AND ITEM.CODE_NAME = 'MTDC'))
            GROUP BY AC.ACCOUNT_MANAGER,AC.ACCOUNT_NUMBER, AC.ACCOUNT_NAME,
                     DIV.DIVISION_NUMBER, ITEM.CODE_ID, ITEM.CODE_NAME, 
                     TO_NUMBER(TO_CHAR(AP.FIRST_DAY,'YYYY')), AP.FIRST_DAY

    This appears to be a duplicate of Refreshing Materilized view. I replied on the other thread.
    Justin

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