About index

This is an article about the Index.

Hello!

Database indexes are data structures used to quickly retrieve data from databases.

Among them, B-Tree is one of the most commonly used index structures.

Now let’s look at the database index and the B-tree.

A database index is a data structure used to quickly retrieve data stored in a table.

Typically, an index consists of a key aligned for a particular column (column) and a pointer to the data block where that key is located.

This allows the database to reduce the time required to directly search rows with specific values.

B-trees are one of the most common index structures used in databases, an extended form of balanced binary trees.

Each node can have multiple keys and a pointer to a child node corresponding to that key.

The B-tree provides a structure that allows you to retrieve data efficiently while lowering the height.

Balanced tree: The B-tree is designed so that all leaf nodes are at the same level, ensuring time complexity of search operations.
Split and merge: Automatically split or merge nodes when data insertion and deletion occur to balance the B-tree.
Effective search: B-tree provides a structure for efficient data retrieval; on average, it has O(log N) time complexity.

Optimize data retrieval: Indexes can be used to improve the retrieval performance of databases. Indexes using B-tree provide fast retrieval to ensure faster response times for users.
**Sorting and scoping **: B-tree can efficiently search and scoping for sorted data, enabling the database to handle different types of queries.

Database indexes and B-trees are key technologies for efficiently retrieving data from databases.

Indexes can improve search performance and improve database performance by using B-trees to provide quick searches.

When building a database, you can use the index and B-tree appropriately for efficient data management.

Thank you!