Simple SQL Query is not using Bitmap index

Hello to All,
We are having Oracle9i Database and using it for the datawarehouse purpose.
I have created the bitmap index on calledinfo column and I am running the following simple query which takes serveral hours to complete:
select * from ssp.ssp_2006_q4 where calledinfo='799992515f'
OR
select calledinfo from ssp.ssp_2006_q4 where calledinfo='799992515f'
I don't know why it is not using the bitmap index: Can anybody help me here?
Thanks in Advance
Hashim

I know why and everyone that has read Jonathan Lewis' book on the CBO knows why.
Why? Because the CBO thinks the cost of using your index will be higher than the cost of ignoring it.
To see what Oracle is thinking run an explain plan using DBMS_XPLAN for create the output and then rerun it with a hint forcing index usage.
It is a mistake to believe that an index will always make things better. Issues of cardinality, clustering factor, etc. are very important.
Post the explain plans if you have any questions about what they show:
http://www.psoug.org/reference/explain_plan.html

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    ID                                        NOT NULL NUMBER
    MASTER_VALUE               NOT NULL NUMBER(8)
    DESC_TEXT_ID                                    NUMBER
    GVM                                                     VARCHAR2(50)
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    WORK_SECTION_ID                          NUMBER
    AUDIT_TRAIL_NO                              NUMBER
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    Hi,
    Version is
    BANNER
    Oracle Database 10g Enterprise Edition Release 10.2.0.5.0 - 64bi
    PL/SQL Release 10.2.0.5.0 - Production
    CORE    10.2.0.5.0      Production
    TNS for 64-bit Windows: Version 10.2.0.5.0 - Production
    NLSRTL Version 10.2.0.5.0 - Production
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  • SQL Query not using Composite Index

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    Hi David,
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    PLAN_TABLE_OUTPUT
    | Id | Operation | Name | Rows | Bytes | Cost |
    | 0 | SELECT STATEMENT | | 26 | 15678 | 147 |
    | 1 | TABLE ACCESS BY INDEX ROWID | PART_AWARD_PAYOUT_SCHEDULE | 1 | 89 | 2 |
    |* 2 | INDEX UNIQUE SCAN | PART_AWARD_PAYOUT_SCHEDULE_PK1 | 61097 | | 1 |
    | 3 | SORT AGGREGATE | | 1 | 67 | |
    |* 4 | FILTER | | | | |
    |* 5 | INDEX RANGE SCAN | PART_AWARD_PAYOUT_SCHEDULE_PK1 | 1 | 67 | 2 |
    | 6 | SORT AGGREGATE | | 1 | 94 | |
    |* 7 | FILTER | | | | |
    |* 8 | TABLE ACCESS BY INDEX ROWID | PART_AWARD_PAYOUT_SCHEDULE | 1 | 94 | 3 |
    |* 9 | INDEX RANGE SCAN | PART_AWARD_PAYOUT_SCHEDULE_PK1 | 1 | | 2 |
    |* 10 | FILTER | | | | |
    |* 11 | HASH JOIN | | 26 | 15678 | 95 |
    |* 12 | HASH JOIN OUTER | | 26 | 11596 | 91 |
    |* 13 | HASH JOIN | | 26 | 10218 | 86 |
    | 14 | VIEW | | 1 | 82 | 4 |
    | 15 | SORT GROUP BY | | 1 | 116 | 4 |
    |* 16 | TABLE ACCESS BY INDEX ROWID | PART_AWARD_LEDGER | 1 | 116 | 2 |
    |* 17 | INDEX RANGE SCAN | PARTICIPANT_UID_IDX | 1 | | 1 |
    |* 18 | HASH JOIN OUTER | | 26 | 8086 | 82 |
    |* 19 | HASH JOIN | | 26 | 6006 | 71 |
    | 20 | NESTED LOOPS | | 36 | 5904 | 66 |
    | 21 | NESTED LOOPS | | 1 | 115 | 65 |
    | 22 | TABLE ACCESS BY INDEX ROWID | CURRENCY_CONVERSION | 18 | 756 | 2 |
    |* 23 | INDEX RANGE SCAN | KLS_IDX_CURRENCY_CONV | 3 | | 1 |
    | 24 | VIEW | | 1 | 73 | 4 |
    | 25 | SORT GROUP BY | | 1 | 71 | 4 |
    | 26 | TABLE ACCESS BY INDEX ROWID| PART_AWARD_VALUE | 1 | 71 | 2 |
    |* 27 | INDEX RANGE SCAN | PAV_PARTICIPANT_UID_IDX | 1 | | 1 |
    | 28 | TABLE ACCESS BY INDEX ROWID | PARTICIPANT_AWARD | 199 | 9751 | 1 |
    |* 29 | INDEX UNIQUE SCAN | PARTICIPANT_AWARD_PK1 | 100 | | |
    |* 30 | INDEX FAST FULL SCAN | PARTICIPANT_AWARD_TYPE_PK1 | 147 | 9849 | 4 |
    | 31 | VIEW | | 1 | 80 | 10 |
    | 32 | SORT GROUP BY | | 1 | 198 | 10 |
    |* 33 | TABLE ACCESS BY INDEX ROWID | CURRENCY_CONVERSION | 1 | 42 | 2 |
    | 34 | NESTED LOOPS | | 1 | 198 | 8 |
    | 35 | NESTED LOOPS | | 2 | 312 | 4 |
    | 36 | TABLE ACCESS BY INDEX ROWID| PART_DISTRIBUTION_EXEC | 2 | 276 | 2 |
    |* 37 | INDEX RANGE SCAN | IND_PARTICIPANT_UID | 1 | | 1 |
    | 38 | TABLE ACCESS BY INDEX ROWID| CURRENCY | 1 | 18 | 1 |
    |* 39 | INDEX UNIQUE SCAN | CURRENCY_AK | 1 | | |
    |* 40 | INDEX RANGE SCAN | CURRENCY_CONVERSION_AK | 2 | | 1 |
    | 41 | VIEW | | 1 | 53 | 4 |
    | 42 | SORT GROUP BY | | 1 | 62 | 4 |
    |* 43 | TABLE ACCESS BY INDEX ROWID | PART_AWARD_VESTING | 1 | 62 | 2 |
    |* 44 | INDEX RANGE SCAN | PAVES_PARTICIPANT_UID_IDX | 1 | | 1 |
    | 45 | TABLE ACCESS FULL | AWARD | 1062 | 162K| 3 |
    | 46 | TABLE ACCESS BY INDEX ROWID | CURRENCY | 1 | 18 | 2 |
    |* 47 | INDEX UNIQUE SCAN | CURRENCY_AK | 102 | | 1 |
    Predicate Information (identified by operation id):
    2 - access("PAPS"."AWARD_CODE"=:B1 AND "PAPS"."PARTICIPANT_UID"=4105 AND "PAPS"."AWARD_TYPE"=:B2
    "PAPS"."INSTALLMENT_NUM"=1)
    4 - filter(4105=:B1)
    5 - access("PAPS"."AWARD_CODE"=:B1 AND "PAPS"."PARTICIPANT_UID"=4105 AND "PAPS"."AWARD_TYPE"=:B2)
    7 - filter(4105=:B1)
    8 - filter("PAPS"."STATUS"='OPEN')
    9 - access("PAPS"."AWARD_CODE"=:B1 AND "PAPS"."PARTICIPANT_UID"=4105 AND "PAPS"."AWARD_TYPE"=:B2)
    10 - filter("CC_A_P_CURR"."FROM_CURRENCY_UID"= (SELECT /*+ */ "CURRENCY"."CURRENCY_UID" FROM
    "EWAPDBO"."CURRENCY" "CURRENCY" WHERE "CURRENCY"."CURRENCY_ISO_CODE"=:B1))
    11 - access("SYS_ALIAS_7"."AWARD_CODE"="A"."AWARD_CODE")
    12 - access("SYS_ALIAS_7"."AWARD_CODE"="PVS"."AWARD_CODE"(+))
    13 - access("SYS_ALIAS_8"."AWARD_CODE"="PALS"."AWARD_CODE" AND
    "SYS_ALIAS_8"."AWARD_TYPE"="PALS"."AWARD_TYPE")
    16 - filter(TRUNC("PAL1"."LEDGER_ENTRY_DATE")<=TRUNC(SYSDATE@!) AND "PAL1"."ALLOC_TYPE"='IPU')
    17 - access("PAL1"."PARTICIPANT_UID"=4105)
    filter("PAL1"."PARTICIPANT_UID"=4105)
    18 - access("SYS_ALIAS_8"."AWARD_CODE"="PDES"."AWARD_CODE"(+) AND
    "SYS_ALIAS_8"."AWARD_TYPE"="PDES"."AWARD_TYPE"(+))
    19 - access("SYS_ALIAS_7"."AWARD_CODE"="SYS_ALIAS_8"."AWARD_CODE")
    23 - access("CC_A_P_CURR"."TO_CURRENCY_UID"=1 AND "CC_A_P_CURR"."LATEST_FLAG"='Y')
    27 - access("PAV"."PARTICIPANT_UID"=4105)
    filter("PAV"."PARTICIPANT_UID"=4105)
    29 - access("SYS_ALIAS_7"."AWARD_CODE"="SYS_ALIAS_9"."AWARD_CODE" AND
    "SYS_ALIAS_7"."PARTICIPANT_UID"=4105)
    30 - filter("SYS_ALIAS_8"."PARTICIPANT_UID"=4105)
    33 - filter("CC"."LATEST_FLAG"='Y')
    37 - access("PDE"."PARTICIPANT_UID"=4105)
    filter("PDE"."PARTICIPANT_UID"=4105)
    39 - access("OFF_CURR"."CURRENCY_ISO_CODE"="PDE"."OFFERING_CURRENCY_ISO_CODE")
    40 - access("CC"."FROM_CURRENCY_UID"="OFF_CURR"."CURRENCY_UID" AND "CC"."TO_CURRENCY_UID"=1)
    43 - filter("PV"."VESTING_DATE"<=SYSDATE@!)
    44 - access("PV"."PARTICIPANT_UID"=4105)
    filter("PV"."PARTICIPANT_UID"=4105)
    47 - access("CURRENCY"."CURRENCY_ISO_CODE"=:B1)
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    93 rows selected.
    Please help me out...
    -Sankar

  • Query not using the index

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                                                                          11 HASH JOIN Cost: 748 Bytes: 208,861 Cardinality: 631
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                                                                               10 HASH JOIN Cost: 746 Bytes: 204,444 Cardinality: 631
                                                                                    3 INDEX FAST FULL SCAN INDEX (UNIQUE) SA.GBST_ELM_OBJINDEX Cost: 2 Bytes: 10,052 Cardinality: 1,436
                                                                                    9 HASH JOIN Cost: 743 Bytes: 200,027 Cardinality: 631
                                                                                         4 INDEX FAST FULL SCAN INDEX (UNIQUE) SA.GBST_ELM_OBJINDEX Cost: 2 Bytes: 10,052 Cardinality: 1,436
                                                                                         8 NESTED LOOPS Cost: 741 Bytes: 195,610 Cardinality: 631
                                                                                              5 REMOTE REMOTE CASE Cost: 235 Bytes: 156,488 Cardinality: 631
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                                                                     13 INDEX UNIQUE SCAN INDEX (UNIQUE) SA.UN_PTT2CASE Cost: 1 Bytes: 7 Cardinality: 1
                                                                16 TABLE ACCESS BY INDEX ROWID TABLE SA.TABLE_SITE Cost: 1 Bytes: 21 Cardinality: 1
                                                                     15 INDEX UNIQUE SCAN INDEX (UNIQUE) SA.SITE_OBJINDEX Cost: 1 Cardinality: 1
                                                           18 INDEX UNIQUE SCAN INDEX (UNIQUE) SA.BUS_ORG_OBJINDEX Cost: 1 Bytes: 7 Cardinality: 1
                                                      21 TABLE ACCESS BY INDEX ROWID TABLE SA.TABLE_ADDRESS Cost: 1 Bytes: 14 Cardinality: 1
                                                           20 INDEX UNIQUE SCAN INDEX (UNIQUE) SA.ADDRESS_OBJINDEX Cost: 1 Cardinality: 1
                                                 23 INDEX UNIQUE SCAN INDEX (UNIQUE) SA.COUNTRY_OBJINDEX Cost: 1 Bytes: 7 Cardinality: 1
                                            25 INDEX UNIQUE SCAN INDEX (UNIQUE) SA.CONTACT_OBJINDEX Cost: 1 Bytes: 7 Cardinality: 1
                                       27 INDEX UNIQUE SCAN INDEX (UNIQUE) SA.CONDITION_OBJINDEX Cost: 1 Bytes: 7 Cardinality: 1
                                  30 TABLE ACCESS BY GLOBAL INDEX ROWID TABLE SA.TABLE_SITE_PART Cost: 1 Bytes: 14 Cardinality: 1 Partition #: 34
                                       29 INDEX UNIQUE SCAN INDEX (UNIQUE) SA.SITE_PART_OBJINDEX Cost: 1 Cardinality: 1
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         37 SORT ORDER BY Cost: 591 Bytes: 61,134 Cardinality: 138
              36 COUNT STOPKEY
                   35 HASH JOIN Cost: 590 Bytes: 61,134 Cardinality: 138
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                        34 HASH JOIN Cost: 588 Bytes: 60,168 Cardinality: 138
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                             33 HASH JOIN Cost: 585 Bytes: 59,202 Cardinality: 138
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                                            29 NESTED LOOPS OUTER Cost: 579 Bytes: 56,304 Cardinality: 138
                                                 27 NESTED LOOPS OUTER Cost: 469 Bytes: 54,372 Cardinality: 138
                                                      24 NESTED LOOPS Cost: 363 Bytes: 52,440 Cardinality: 138
                                                           22 NESTED LOOPS Cost: 362 Bytes: 51,474 Cardinality: 138
                                                                20 NESTED LOOPS Cost: 361 Bytes: 50,508 Cardinality: 138
                                                                     18 NESTED LOOPS Cost: 360 Bytes: 49,542 Cardinality: 138
                                                                          15 NESTED LOOPS Cost: 249 Bytes: 47,610 Cardinality: 138
                                                                               13 NESTED LOOPS Cost: 248 Bytes: 46,644 Cardinality: 138
                                                                                    10 NESTED LOOPS OUTER Cost: 138 Bytes: 43,746 Cardinality: 138
                                                                                         8 NESTED LOOPS Cost: 137 Bytes: 42,780 Cardinality: 138
                                                                                              5 REMOTE REMOTE CASE Cost: 26 Bytes: 34,224 Cardinality: 138
                                                                                              7 TABLE ACCESS BY INDEX ROWID TABLE SA.TABLE_CASE Cost: 1 Bytes: 62 Cardinality: 1
                                                                                                   6 INDEX UNIQUE SCAN INDEX (UNIQUE) SA.TC_C_CASE_OBJINDEX Cost: 1 Cardinality: 1
                                                                                         9 INDEX UNIQUE SCAN INDEX (UNIQUE) SA.UN_PTT2CASE Cost: 1 Bytes: 7 Cardinality: 1
                                                                                    12 TABLE ACCESS BY INDEX ROWID TABLE SA.TABLE_SITE Cost: 1 Bytes: 21 Cardinality: 1
                                                                                         11 INDEX UNIQUE SCAN INDEX (UNIQUE) SA.SITE_OBJINDEX Cost: 1 Cardinality: 1
                                                                               14 INDEX UNIQUE SCAN INDEX (UNIQUE) SA.BUS_ORG_OBJINDEX Cost: 1 Bytes: 7 Cardinality: 1
                                                                          17 TABLE ACCESS BY INDEX ROWID TABLE SA.TABLE_ADDRESS Cost: 1 Bytes: 14 Cardinality: 1
                                                                               16 INDEX UNIQUE SCAN INDEX (UNIQUE) SA.ADDRESS_OBJINDEX Cost: 1 Cardinality: 1
                                                                     19 INDEX UNIQUE SCAN INDEX (UNIQUE) SA.COUNTRY_OBJINDEX Cost: 1 Bytes: 7 Cardinality: 1
                                                                21 INDEX UNIQUE SCAN INDEX (UNIQUE) SA.CONTACT_OBJINDEX Cost: 1 Bytes: 7 Cardinality: 1
                                                           23 INDEX UNIQUE SCAN INDEX (UNIQUE) SA.CONDITION_OBJINDEX Cost: 1 Bytes: 7 Cardinality: 1
                                                      26 TABLE ACCESS BY GLOBAL INDEX ROWID TABLE SA.TABLE_SITE_PART Cost: 1 Bytes: 14 Cardinality: 1 Partition #: 34
                                                           25 INDEX UNIQUE SCAN INDEX (UNIQUE) SA.SITE_PART_OBJINDEX Cost: 1 Cardinality: 1
                                       bold           28 INDEX RANGE SCAN INDEX SA.IND_PART_INFO2PART_NUM Cost: 1 Bytes: 14 Cardinality: 1 bold
                                            30 INDEX UNIQUE SCAN INDEX (UNIQUE) SA.PART_NUM_OBJINDEX Cost: 1 Bytes: 7 Cardinality: 1
    Conclusion:
    IND_PART_INFO2PART_NUM is not in use in Production environment
    PROD
    1. SQL> select index_name,NUM_ROWS,CLUSTERING_FACTOR from dba_indexes where index_name='IND_PART_INFO2PART_NUM';
    INDEX_NAME NUM_ROWS CLUSTERING_FACTOR
    IND_PART_INFO2PART_NUM 103023 46488
    DEV environment
    SQL> select index_name,NUM_ROWS,CLUSTERING_FACTOR,table_name from dba_indexes where index_name='IND_PART_INFO2PART_NUM';
    INDEX_NAME NUM_ROWS CLUSTERING_FACTOR TABLE_NAME
    IND_PART_INFO2PART_NUM 101982 45722 TABLE_MOD_LEVEL
    1. Index is rebuild
    2. stats are up to date
    3. Redef on table is done.
    Still no change in the plan .

    Osama-mustafa wrote:
    Aman.... wrote:
    Osama-mustafa wrote:
    alter index <index-name> rebuild ;Why?
    Aman....I faced this issue with query and indexes was need rebuildWhat issue Osama-that query wasn't using index and after rebuild it did start using it? Not just that this reply is wrong , this is OP has mentioned that he has done already. Please note that index rebuild is not the answer when the query is not using the index. There can be many reasons behind it. Have a look at Richard Foote's blog where he explains all of this in a very detailed way and in many posts.
    Aman....

  • Can downloaded oracle9i Enterprise Edition use Bitmap index?

    Hello there,
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    Many thanks in advance!
    -wendy

    are you creating a local index on the partitioned table?

  • Why is my SQL not using an index?

    I have a small SQL query (10g) where I join to basic table together on a customer_id column.
    select *
    from customer c
    inner join work_item sp1 ON sp1.customer_id = c.customer_id
    and I am using TOAD, which tells me (in the Explain Plan area), that I'm doing a "TABLE ACCESS FULL" scan on the customer table.
    But when I look at the details of BOTH tables, I can clearly see that they both have an index on the customer field, and they are both the same data types...
    The interesting thing, is that if I change the query to only select data from the work_item table,
    select sp1.*
    from customer c
    inner join work_item sp1 ON sp1.customer_id = c.customer_id
    I can see that the indexes are being used...
    Why is this? I must be able to select certain columns from the customer table, but why would it not use an index when I do?
    Thanks!

    If I understand correctly, below is a simple test case.
    I created a small table and indexed "object_id" column.
    When I issue "Select * from t" optimizer goes with FULL TABLE SCAN, whereas wehn "select OBJECT_ID from t" is issued, optimizer chooses to read from the index instead of accessing the table. This is because FAST FULL SCAN is far cheaper than a FTS in this case.
    SQL> create table t as select object_id, object_name from all_objects;
    Table created.
    SQL> exec dbms_stats.gather_table_stats(user, 't');
    PL/SQL procedure successfully completed.
    SQL> create index t_idx1 on t(object_id);
    Index created.
    SQL> set autotrace traceonly exp
    SQL> select * from t;
    Execution Plan
    Plan hash value: 1601196873
    | Id  | Operation         | Name | Rows  | Bytes | Cost (%CPU)| Time     |
    |   0 | SELECT STATEMENT  |      | 37932 |  1074K|    55   (2)| 00:00:01 |
    | 1 | TABLE ACCESS FULL| T | 37932 | 1074K| 55 (2)| 00:00:01 |
    SQL> select object_id from t;
    Execution Plan
    Plan hash value: 3958994525
    | Id  | Operation            | Name   | Rows  | Bytes | Cost (%CPU)| Time     |
    |   0 | SELECT STATEMENT     |        | 37932 |   185K|    25   (0)| 00:00:01 |
    | 1 | INDEX FAST FULL SCAN| T_IDX1 | 37932 | 185K| 25 (0)| 00:00:01 |
    SQL>

  • Peformance tuning of query using bitmap indexes

    Hello guys
    I just have a quick question about tuning the performance of sql query using bitmap indexes..
    Currently, there are 2 tables, date and fact. Fact table has about 1 billion row and date dim has about 1 million. These 2 tables are joined by 2 columns:
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    I have query that needs to be run as the following:
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    where Date.Dateid = Fact.snapshot.dates and Date.companyid = fact.companynumber and dates.dayofweek = 'monday'.
    Currently this query is running forever. I think it is joining that takes a lot of time. I have created bitmap index on dayofweek column because it's low on distinctive rows. But it didn't seem to speed up with the performance..
    I'd like to know what other indexes will be helpful for me.. I am thinking of creating another one for companynumber since it also have low distinctive records.
    Currently the query is being generated by frontend tools like OBIEE so I can't change the sql nor can't I purge data or create smaller table, I have to what with what I have..
    So please let me know your thoughts in terms of performance tunings.
    Thanks

    The explain plan is:
    Row cost Bytes
    Select statement optimizer 1 1
    nested loops 1 1 299
    partition list all 1 0 266
    index full scan RD_T.PK_FACTS_SNPSH 1 0 266
    TABLE ACCESS BY INDEX ROWID DATES_DIM 1 1 33
    INDEX UNIQUE SCAN DATES_DIM_DATE 1 1
    There is no changes nor wait states, but query is taking 18 mins to return results. When it does, it returns 1 billion rows, which is the same number of rows of the fact table....(strange?)That's not a bitmap plan. Plans using bitmaps should have steps indicating bitmap conversions; this plan is listing ordinary btree index access. The rows and bytes on the plan for the volume of data you suggested have to be incorrect. (1 row instead of 1B?????)
    What version of the data base are you using?
    What is your partition key?
    Are the partioned table indexes global or local? Is the partition key part of the join columns, and is it indexed?
    Analyze the tables and all indexes (use dbms_stats) and see if the statistics get better. If that doesn't work try the dynamic sampling hint (there is some overhead for this) to get statistics at runtime.
    I have seen stats like the ones you listed appear in 10g myself.
    Edited by: riedelme on Oct 30, 2009 10:37 AM

  • Why is this query not using the index?

    check out this query:-
    SELECT CUST_PO_NUMBER, HEADER_ID, ORDER_TYPE, PO_DATE
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    and here's the explain plan:-
    1     
    2     -------------------------------------------------------------------------------------
    3     | Id | Operation | Name | Rows | Bytes | Cost (%CPU)|
    4     -------------------------------------------------------------------------------------
    5     | 0 | SELECT STATEMENT | | 2735K| 140M| 81036 (2)|
    6     |* 1 | TABLE ACCESS FULL| TABLE1 | 2735K| 140M| 81036 (2)|
    7     -------------------------------------------------------------------------------------
    8     
    9     Predicate Information (identified by operation id):
    10     ---------------------------------------------------
    11     
    12     1 - filter("STATUS"='N')
    There is already an index on this column, as is shown below:-
         INDEX_NAME INDEX_TYPE     UNIQUENESS     TABLE_NAME     COLUMN_NAME     COLUMN_POSITION
    1     TABLE1_IDX2 NORMAL     NONUNIQUE     TABLE1      STATUS     1
    2     TABLE1_IDX NORMAL     NONUNIQUE     TABLE1     HEADER_ID     1
    So why is this query not using the index on the 'STATUS' Column?
    I've already tried using optimizer hints and regathering the stats on the table, but the execution plan still remains the same, i.e. it still uses a FTS.
    I have tried this command also:-
    exec dbms_stats.gather_table_stats('GECS','GEPS_CS_SALES_ORDER_HEADER',method_opt=>'for all indexed columns size auto',cascade=>true,degree=>4);
    inspite of this, the query is still using a full table scan.
    The table has around 55 Lakh records, across 60 columns. And because of the FTS, the query is taking a long time to execute. How do i make it use the index?
    Please help.
    Edited by: user10047779 on Mar 16, 2010 6:55 AM

    If the cardinality is really as skewed as that, you may want to look at putting a histogram on the column (sounds like it would be in order, and that you don't have one).
    create table skewed_a_lot
    as
       select
          case when mod(level, 1000) = 0 then 'N' else 'Y' end as Flag,
          level as col1
       from dual connect by level <= 1000000;
    create index skewed_a_lot_i01 on skewed_a_lot (flag);
    exec dbms_stats.gather_table_stats(user, 'SKEWED_A_LOT', cascade => true, method_opt => 'for all indexed columns size auto');Is an example.

  • Why my query not using any index but doing a FULL TABLE SCAN

    Hi,
    My EXPLAIN PLAN output is
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    |   0 | SELECT STATEMENT        |                   |   774 |   159K|       | 40847   (2)| 00:08:11 |                                                                                                                                                                                                       
    |*  1 |  FILTER                 |                   |       |       |       |            |          |                                                                                                                                                                                                       
    |   2 |   SORT GROUP BY         |                   |   774 |   159K|       | 40847   (2)| 00:08:11 |                                                                                                                                                                                                       
    |*  3 |    HASH JOIN            |                   | 77337 |    15M|  9744K| 40843   (2)| 00:08:11 |                                                                                                                                                                                                       
    |*  4 |     HASH JOIN           |                   | 77337 |  8836K|  5896K| 20987   (2)| 00:04:12 |                                                                                                                                                                                                       
    |*  5 |      HASH JOIN          |                   | 77337 |  4984K|       |  9292   (3)| 00:01:52 |                                                                                                                                                                                                       
    |*  6 |       HASH JOIN         |                   | 24991 |   951K|       |  3349   (3)| 00:00:41 |                                                                                                                                                                                                       
    |*  7 |        TABLE ACCESS FULL| IDS_TXNIDNUMBERS  | 24991 |   683K|       |  2328   (3)| 00:00:28 |                                                                                                                                                                                                       
    |   8 |        TABLE ACCESS FULL| IDS_TXNDEMDATAMAP |  2419K|    25M|       |  1006   (3)| 00:00:13 |                                                                                                                                                                                                       
    |   9 |       TABLE ACCESS FULL | IDS_IDNUMBERS     |  7435K|   191M|       |  5903   (2)| 00:01:11 |                                                                                                                                                                                                       
    |  10 |      TABLE ACCESS FULL  | IDS_DEMDATA       |  2583K|   125M|       |  3683   (5)| 00:00:45 |                                                                                                                                                                                                       
    |  11 |     TABLE ACCESS FULL   | IDS_TXN           |  2583K|   231M|       |  6403   (1)| 00:01:17 |                                                                                                                                                                                                       
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    Thanks
    Amitava.

    amitavachatterjee1975 wrote:
    Please be polite when responding to my queries. If you find these questions not to your standard, stay away from them. This is an open forum and I have got my full rights to ask questions.Unsure, what wrong did you find in SB's reply. I find those links perfectly knowledgeable. The question of having so many unanswered questions probably pricked you a little too much. But that, IMO, is a legitimate question, to be asked to a User who even after being associated with OTN for over an year has 100% record of not getting an answer.
    For your original question, you will have to provide more details to allow people to answer you.
    You must read {message:id=3292438} and post the mentioned details. People do not carry a Crystal Ball to identify the problem merely by reading few lines of Problem description and Explain plans. Do not make people guess, provide appropriate details, to help them Help "You".

  • Why is Oracle not using the index??

    Hi,
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    ( tx_type = 'SDIC' AND
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    error_number BETWEEN 300 AND 304 ) )
    OR
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    error_number IN (303, 304) )
    GROUP BY member_number;
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    SELECT STATEMENT, GOAL = RULE               237907     502923     15087690     
    SORT GROUP BY               237907     502923     15087690     
    PARTITION RANGE ALL                              
    TABLE ACCESS FULL     DWO     DW_ARC_CERRORS     237209     502923     15087690     
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    Thanks in advance,
    Rajesh

    Sorry, I just found the solution myself. I need to put an extra pair of braces around the set of conditions seperated by OR.

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    <BLOCKQUOTE><font size="1" face="Verdana, Arial">quote:</font><HR>Originally posted by Azman Diron ([email protected]):
    I tried to perform load java using a non-sys user :
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  • Not using my index !!!

    i have 3 tables:
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  • Why does it not use the index?

    L.S.,
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    Philbert de Zwart,
    Utrecht, The Netherlands.

    The difference you see in query run time is based on the amount data being sorted, then returned. In the first query, a full table scan is faster since if the index was used, Oracle would have to do a lookup in the index, get the rowid's and go look up the data in the table (TWO disk i/o's). It's faster to just scan the entire table.
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