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What data structure does mysql use?

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Release: 2024-04-14 20:30:53
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MySQL uses row and column data structures to organize data, and provides storage engines (such as InnoDB, which uses B-tree indexes) to find data efficiently. Index structures such as B-tree indexes, hash indexes, bitmap indexes, and full-text indexes are optimized based on data type and query type to improve data retrieval speed.

What data structure does mysql use?

Data structures used by MySQL

MySQL is a relational database management system that uses the following data structures To store and organize data:

Rows and columns

  • Database data is stored in tables, and each table consists of rows and columns.
  • Rows represent specific data records, while columns represent specific fields or attributes in the record.
  • Rows in a table are unique and identified by a primary key.

Storage Engine

  • MySQL provides different storage engines, each of which has its own specific way of managing data.
  • The most commonly used storage engine is InnoDB, which uses B-tree indexes to quickly find data.

B Tree index

  • B Tree index is a balanced search tree structure used to find data quickly.
  • It organizes the data in the table into a series of ordered pages, each page has its own index key.
  • Index keys are used to quickly find specific rows, while the B-tree structure allows efficient traversal of the data.

Hash index

  • A hash index is an index structure that uses a hash function to map data to index keys.
  • Hash functions convert data values ​​into unique keys for fast lookups.
  • Hash indexes are very efficient for finding single values ​​based on the equals operator.

Bitmap index

  • A bitmap index is an index structure that maps data values ​​to a bitmap.
  • A bitmap is a series of bits, each of which represents the presence or absence of a data value.
  • Bitmap indexes are very efficient for finding set comparisons involving multiple values.

Full-text index

  • Full-text index is an index structure used to search text data such as documents or emails.
  • It tokenizes text data and stores it in an index for fast searching for specific words or phrases.

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