Multi-column Index vs One index for each column

Hello everyone,
i have one table about 20 000 000 rows, some developers have to generate reports on it and i want to create indexes on this table.
The table has 34 columns, no primary key, no unique keys.
The "where..." clause of the reports usually use 8 columns but some reports uses 8 + some other columns.
can any one help me on what kind of indexes do i have to create?
1. one index for each column used in "where clause"
2. one index for 8 columns and some other indexes for other used columns
3. one index for all columns
or something else etc...
br flag

i have one table about 20 000 000 rows, some developers have to generate reports on it and i want to create indexes on this table.
The table has 34 columns, no primary key, no unique keys.
The "where..." clause of the reports usually use 8 columns but some reports uses 8 + some other columns.
can any one help me on what kind of indexes do i have to create?
1. one index for each column used in "where clause"
2. one index for 8 columns and some other indexes for other used columns
3. one index for all columns
or something else etc...What's the version of your data base? what kind of database you have, DWH or OTLP? The answer might depend on the type of database as far as bitmap indexes might suit or might not depending if you are runing DWH or OLTP kind of database
Let me suppose that you are runing OLTP database and you have a where clause with 8 columns.
1) are all those where clause equalities (where col1 = and col2 =) or there are inequalities?
2) could you evaluate the most repetitive columns?
3) could you know the column that could have the best clustering factor (the column which most follow a certain order in the table)
Based on that I would suggest to create one b-tree index having 8 columns (even though that it seems for me to high) this index should follow the following points:
1) put the most repetitive column at the leading edge (and compress the index if necessary)
2) put the columns that are used in equalitity predicate first
3) put the column having the best clustering factor first
The most precise index you have the best access you could gain.
Of course that you have to know that an index access is not always good and a FULL table scan is not always bad.
Best regards
Mohamed Houri
www.hourim.wordpress.com

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