Sparse Index
Sparse index contains an index entry only for some records. In the place of pointing to all the records in the main table index points records in a specific gap. This indexing helps you to overcome the issues of dense indexing in DBMS.
Advantages
- Uses less storage space than thick indexes, particularly for large datasets.
- Lessens the effect that insertions and deletions have from index maintenance operations.
Disadvantages
- Since there may not be an index entry for every key value, access may involve additional steps.
- might not be as effective as dense indexes for range queries.
Difference Between Dense Index and Sparse Index in DBMS
Indexing is a technique in DBMS that is used to optimize the performance of a database by reducing the number of disk access required. An index is a type of data structure. With the help of an index, we can locate and access data in database tables faster. The dense index and Sparse index are two different approaches to organizing and accessing data in the data structure. These are commonly used in databases and information retrieval systems.
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