How Can I Optimize My Database Performance with Effective Indexing?

Indexing Do's and Don'ts: A Guide to Enhanced Database Performance

Do:

1. Use indices only when necessary: Excessive indexing can slow down writes and updates.
2. Create indices for frequently used search criteria: Leverage indices for columns appearing in WHERE clauses, foreign key references, and sorting operations.
3. Optimize multicolumn indices: Place commonly used search conditions first, followed by sorting keys.
4. Maintain updated table statistics: Outdated statistics hinder the optimizer's ability to leverage indices.
5. Consider partial and expression indices: Partial indices cover a subset of data, while expression indices apply transformations on indexed columns, improving query execution speed.

Don't:

1. Create indices indiscriminately: Unnecessary indices increase write overhead.
2. Use indices for values found in most records: Indexing such values results in performance penalties.
3. Neglect repartitioning considerations: Indices may not be useful for tables with uneven data distribution.
4. Overuse boolean indices: Indices on boolean fields often lead to poor performance due to the potential for random disk accesses.
5. Ignore expression evaluation: Failing to utilize expression indices can result in redundant calculations on indexed columns.

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