How out-of-date statistics affects the decisions of the optimizer

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• out-of-date statistics - expected behavior?

  If a table is monitored, 0 rows, collect stats, insert 100 rows < do not commit >, flush the pool followed, the show 100 inserted rows and dba_Tab_statistics STALE watch dba_tab_modifications = YES (as BLAND is based on lines changed as a percentage of 10% against the collected statistics)

  Now, lines to restore the 100, drain the pool monitoring, we still see as obsolete statistics.   Is this expected behavior?   It simply means that the table will have its stats are gathered again in the next window of collection if this isn't really a problem but just so I know its expected.

  SQL > drop table t1;

  Deleted table.

  SQL >

  SQL > create table t1 select * from dba_objects where rownum = 0;

  Table created.

  SQL > exec dbms_stats.gather_table_stats (ownname = > user, tabname = > 'T1');

  PL/SQL procedure successfully completed.

  SQL >

  SQL > SELECT table_name, num_rows, stale_stats OF SYS. DBA_TAB_STATISTICS where table_name = 'T1 ';

  TABLE_NAME, NUM_ROWS STA

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

  T1                                      0 NO

  SQL >

  SQL > insert into t1

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  2 where table_name = 'T1 '.

  3;

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

  T1                                    100

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  SQL > SELECT table_name, num_rows, stale_stats OF SYS. DBA_TAB_STATISTICS where table_name = 'T1 ';

  TABLE_NAME, NUM_ROWS STA

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

  T1                                      0 YES

  -Check the rows are in the table

  SQL > select count (*) from t1;

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  ----------

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  SQL > rollback;

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  -Check the lines are gone

  SQL > select count (*) from t1;

  COUNT (*)

  ----------

  0

  -Rinse the monitoring

  SQL > execute DBMS_STATS. FLUSH_DATABASE_MONITORING_INFO;

  PL/SQL procedure successfully completed.

  SQL >

  - but the tab_modifications and therefore statistics are still showing stale even if 100 inserts restored

  SQL > select table_name, inserts, updates, deletes DBA_TAB_MODIFICATIONS

  2 where table_name = 'T1 '.

  3;

  UPDATES OF INSERTIONS DELETIONS TABLE_NAME

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

  T1                                    100          0          0

  SQL >

  SQL > SELECT table_name, num_rows, stale_stats OF SYS. DBA_TAB_STATISTICS where table_name = 'T1 ';

  TABLE_NAME, NUM_ROWS STA

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

  T1                                      0 YES

  SQL >

  I think what you describe is a reasonable behavior.

  When you run ROLLBACK, Oracle built more DML to reverse the effect of the previous DML and commits the batch as a single transaction. You can almost say that while SQL has a ROLLBACK command, Oracle does not work. It might be better if in your example DBA_TAB_MODIFICATIONS showed 100 insertions as well as 100 deletions.

  Also, don't forget that there are more statistics than the number of rows. Scopes can have been allocated, high waters moved. The ROLLBACK will affect not the latter, so that they are definitely outdated.

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• How to convert Date months in the database that points to the EBS, DWH not.

  Hi friends,
  
  We intend to create reports in OBIEE and the Source is EBS. This means that we do not want depends on Datawarehouse and Informatica and OBIApps. Simply create us some reports and that they refer to the EBS database.
  
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  Months (Sun)
  Revenue by Division (Fact)
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  I can deceive me, but someone please look into this... How can I create columns for this exact report of OBI in EBS database instead of DwH.
  
  Thanks in advance...
  
  Raghu Jen7782

  Just confused here.

  Hang on, if I get it, you want to create report based on columns of EBS directly then using rt BI applications?

  There is then no question of using the W_DAY_D table then.

  Follow

  As long as you have Date column, you can use DB functions to convert them into months (just use the string SUBSTR to extract the month and the year).
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  This?

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  Agenda	Item_Descr	STARTDATE	ENDDATE
  1	Point 1	OCTOBER 16, 2014	JANUARY 4, 2015
  2	Point 2	OCTOBER 16, 2014	JANUARY 4, 2015

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  3	Point 3	OCTOBER 16, 2014	16 OCT-2014 + 41
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  5	Point 5	OCTOBER 16, 2014	16 OCT-2014 + 41
  5	Point 5	16 OCT-2014 + 41 + 1	16 OCT-2014 + 41 41
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             ENDDATE - STARTDATE,
             LEVEL,
             FLOOR ( (ENDDATE - STARTDATE) / 41)           
        FROM NSK_VALUES NV
  CONNECT BY     LEVEL <= FLOOR ( (ENDDATE - STARTDATE) / 41) + 1
             AND ROWID = PRIOR ROWID
             AND PRIOR SYS_GUID () IS NOT NULL;
  

  something like that...

  WITH nsk_values (item, item_descr, startdate, enddate)

  AS (SELECT 1, ' 1 ', SYSDATE, SYSDATE + double UNION ALL 7 ')

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  SELECT 3, 'Item 3, SYSDATE, SYSDATE + 80 IN dual UNION ALL"

  Select OPTION 4, "article 4, SYSDATE, SYSDATE + 56 OF double UNION ALL"

  SELECT 5, 'article 5 "(, SYSDATE, SYSDATE + 156 FROM dual)

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  Of ANOTHER startdate

  END

  ) As startdate

  , less (enddate, startdate + (LEVEL * 41)) AS enddate

  OF nsk_values

  CONNECT BY PRIOR point = item

  AND PRIOR sys_guid() IS NOT NULL

  and level<= ceil((enddate="" -="" startdate)="">

  /

  HTH

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