Types of Secondary Indexes
- B-tree Index: A B-tree index is a type of index that stores data in a balanced tree structure. B-tree indexes are commonly used in relational databases and provide efficient search, insert, and delete operations.
- Hash Index: A hash index is a type of index that uses a hash function to map data to a specific location within the index. Hash indexes are commonly used in non-relational databases, such as NoSQL databases, and provide fast access to data.
- Bitmap Index: A bitmap index is a type of index that uses a bitmap to represent the data in a database. Each bit in the bitmap represents a specific record in the database, and the value of the bit indicates whether the record is present or not. Bitmap indexes are commonly used in data warehousing and business intelligence applications, as they provide efficient access to large amounts of data.
Secondary Indexing in Databases
Pre-requisites: Primary Indexing in Databases
Databases are a critical component of modern applications, storing vast amounts of data and serving as a source of information for various functions. One of the primary challenges in managing databases is providing efficient access to the stored data. To meet this challenge, database management systems use various techniques, including indexing, to improve the performance of data retrieval operations. Indexing is a method that creates a separate structure, referred to as an index, from the data stored in a database. The purpose of an index is to allow for fast access to data without having to search through the entire dataset. There are several types of indexes, including primary indexes and secondary indexes.
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