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Types of Database Indexes and Their Impact on Query Performance
Database indexes are essential for optimizing query performance by enabling quicker data retrieval. Here are the different types of database indexes commonly used:
- Single-Column Indexes: These indexes are created on a single column in a table, allowing for fast retrieval based on that particular column.
- Composite Indexes: A composite index is created on multiple columns, providing faster retrieval for queries that involve those columns.
- Unique Indexes: Unique indexes ensure that each value in the indexed column is unique, helping prevent duplicate entries and speeding up data retrieval.
- Clustered Indexes: Clustered indexes store data rows in the same order as the index, reducing disk I/O and improving query performance for range-based queries.
- Non-Clustered Indexes: Non-clustered indexes store a separate copy of the indexed column data, allowing for efficient data retrieval without changing the physical order of the table rows.
By strategically choosing and creating the appropriate indexes for your database tables, you can significantly enhance query performance by reducing the time it takes to fetch and process data.
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