TWO_index on same column

Hi All,
In One of my table i saw two index on same column , NORMAL and BITMAP. is it necessary . how it will increase/Decrease the performance .
select index_name,index_type,owner,table_name from dba_indexes where table_name='DS_ATTRSTORE';
INDEX_NAME INDEX_TYPE OWNER TABLE_NAME
EI_ATTRSTORE BITMAP ODS DS_ATTRSTORE
EI_ATTRSTORE_ORG NORMAL ODS DS_ATTRSTORE
EI_ATTRSTORE_ATTRVAL BITMAP ODS DS_ATTRSTORE
select count(*) from ODS.DS_ATTRSTORE;
COUNT(*)
14892879
some times iam getting some deadlock error in this table . i doubted that because of useless Normal index already Bitmap is there in table ..guess so ..
please help me on this.
Thanks,
Edited by: 826854 on Nov 27, 2012 2:31 AM
Edited by: 826854 on Nov 27, 2012 2:31 AM

>
In One of my table i saw two index on same column , NORMAL and BITMAP. is it necessary . how it will increase/Decrease the performance .
select index_name,index_type,owner,table_name from dba_indexes where table_name='DS_ATTRSTORE';
INDEX_NAME INDEX_TYPE OWNER TABLE_NAME
EI_ATTRSTORE BITMAP ODS DS_ATTRSTORE
EI_ATTRSTORE_ORG NORMAL ODS DS_ATTRSTORE
EI_ATTRSTORE_ATTRVAL BITMAP ODS DS_ATTRSTORE
>
What you posted just shows the indexes; it doesn't show whether those are on the same column and what other columns might be included in each index.
Any DML on a BITMAP index will likely cause serialization and performance issues since at least two sets of rows need to be locked in order to do an insert or update.

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    When I do the JOIN I would like to make sure that only Distinct records are joined from both tables and that any duplicates are removed in the final join. So if:
    Tbl1 has a idskey of: 12345
    and
    Tbl2 has a idskey of: 12345
    In the final JOIN I want to remove one of those duplicates.
    I actually need to join 3 tables that have the same linking column names for the join, but if I learn how to do this correctly on 2, that will be a start.
    10g for db, thanks!

    Hi,
    SELECT DISTINCT and GROUP BY are the most common ways to get unique results from non-unique keys. Exactly how you use them depends on exactly what you want to do.
    SELECT DISTINCT guarantees that no two rows in the result set, conisdering all columns, will be identical.
    GROUP BY produces one row from a set of rows that have a common feature. The values on that row may be a composite of values from various rows in that set (e.g., an average).
    Please post a small, specific example. For instance:
    "I have two rows in tbl1 ...
    and these fhtee rows in tbl2 ...
    Notice how there is one row with idskey=12345 in tbl1 but two such rows in tbl2.
    How can I get theses results ...
    where only one row has idskey=12345?"

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