In SQL, indexes are used to improve query performance by providing quick access to data in a table. Indexes allow the database to locate rows in a table more efficiently, based on the values stored in one or more columns. There are several types of indexes in SQL, including:
B-tree indexes: This is the most common type of index in SQL, and is used to index single or multiple columns in a table. B-tree indexes are most effective for equality and range queries and can be used with various types of data, including strings, numbers, and dates.
Bitmap indexes: These indexes are used to index low cardinality columns, which means columns that have a limited number of distinct values. Bitmap indexes work by storing a bitmap for each distinct value in the column, which indicates which rows in the table contain that value.
Hash indexes: These indexes are used to index single columns, and work by hashing the values in the column and storing the hash values in the index. Hash indexes are most effective for equality queries, and are not as flexible as B-tree indexes.
Clustered indexes: This type of index determines the physical order of data in a table. Clustered indexes are created on the primary key of a table, and can improve query performance for range and order by queries.
Non-clustered indexes: This type of index is separate from the physical data in a table, and stores a copy of the indexed columns along with a pointer to the location of the corresponding row in the table. Non-clustered indexes can improve query performance for select queries that filter on specific columns.
In general, choosing the right type of index for a given table and query depends on a variety of factors, including the size of the table, the types of queries being run, and the performance characteristics of the underlying database system. Effective use of indexes is a key factor in optimizing database performance and ensuring fast and efficient query execution.
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