Difference Between Dense Index and Sparse Index
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Dense index |
Sparse index |
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The index size is larger in dense index. |
In sparse index, the index size is smaller. |
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Time to locate data in index table is less. |
Time to locate data in index table is more. |
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There is more overhead for insertions and deletions in dense index. |
Sparse indexing have less overhead for insertions and deletions. |
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Records in dense index need not to be clustered. |
In case of sparse index, records need to be clustered. |
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Computing time in RAM (Random access memory) is less with dense index. |
In sparse index, computing time in RAM is more. |
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Data pointers in dense index point to each record in the data file. |
In sparse index, data pointers point to fewer records in data file. |
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Search performance is generally faster in dense index. |
In sparse index, search performance may require additional steps, which will result in slowing down the process. |
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.
Index structure
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