MySQL index types include ordinary index, unique index, full-text index, spatial index and hash index. Indexing methods are BTREE, HASH, and RTREE. Choosing the appropriate index type and method depends on the data type and query mode, such as using a normal index or a hash index for range searches, using a full-text index for full-text searches, and using a spatial index for spatial queries. Using indexes improves query speed, reduces data I/O, and enforces data integrity.
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MySQL Index Types and Methods
Index Types
MySQL supports multiple index types, each type is targeted at a specific The data type and access mode have been optimized:
- Normal index (B-Tree): suitable for range search and exact match search.
- Unique Index (Unique): Similar to a normal index, but each value is unique and can enforce data integrity.
- Full text index (Fulltext): Used to search for words and phrases in text columns.
- Spatial Index (Spatial): Used for range searches on spatial data (such as geographical coordinates).
- Hash Index: Suitable for fast search based on hash function.
Index Methods
In addition to index types, there are a few different ways to create an index:
- BTREE: Balanced Tree Structure to support efficient range lookups.
- HASH: Hash table structure, supports fast exact matching search.
- RTREE: R tree structure for spatial data.
Choose the appropriate index
Choosing the appropriate index type and method depends on the data type and query mode. Here are some guidelines:
- Range lookup: Use a normal index or a hash index.
- Exact match search: Use unique index or hash index.
- Full text search: Use full text index.
- Spatial query: Use spatial index.
Advantages of indexes
Using indexes can bring the following benefits:
- Improving query speed: By avoiding the need to query the entire table Perform a full table scan, and indexes can speed up data retrieval.
- Reduce data I/O: Indexes can also reduce the amount of data read and written, thereby improving performance.
- Mandatory data integrity: The unique index can ensure the uniqueness of the data table and prevent duplicate data.
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