Indexing Rules of Thumb :
- Index every primary key and most foreign keys in the database.
- Attributes frequently referenced in SQL WHERE clauses are potentially
good candidates for an index.
- Use a B+tree index for both
equality and range queries.
- Choose carefully one clustered
index for each table.
- Avoid or remove redundant
indexes.
- Add indexes only when
absolutely necessary.
- Add or delete index columns for
composite indexes to improve performance.
Do not alter primary key columns.
- Use attributes for indexes with
caution when they are frequently updated.
- Keep up index maintenance on a
regular basis; drop indexes only when
they are clearly hurting performance.
- Avoid extremes in index cardinality and value distribution.
- Covering indexes (index only) are useful, but often overused.
- Use bitmap indexes for high-volume data, especially in data
warehouses.
Index Selection Decisions :
- Does this table require an index or not, and if so which search
key should I build an index on?
- When do I need multi-attribute
(composite) search keys, and
which ones should I choose?
- Should I use
a dense or sparse index?
- When can I use a covering
index?
- Should I create a clustered
index?
- Is an index still preferred
when updates are taken into
account? What are the tradeoffs between queries and updates for each index
chosen?
- How do I know I made the right
indexing choice?
-- <Physical Database Design >