XML
Database Index Types - XML
Database indexes are data structures used to speed up data retrieval. Various types exist depending on the use case, including B-Tree indexes, Hash indexes, and Bitmap indexes, each optimized for specific query patterns and data characteristics. Selecting the appropriate index is a crucial element in database performance optimization.
database
index
B-Tree
Hash
Bitmap
SQL
performance optimization
<?xml version="1.0" encoding="UTF-8"?>
<items>
<item>
<code>1</code>
<slug>b-tree-index</slug>
<name>B-Tree Index</name>
<description>The most commonly used balanced tree structure index.</description>
<category>General-purpose Index</category>
<supportedDatabases>["MySQL","PostgreSQL","Oracle","SQL Server","MongoDB"]</supportedDatabases>
<useCases>["Equality searches","Range queries","Sorting operations","Primary keys","Foreign keys"]</useCases>
</item>
<item>
<code>2</code>
<slug>hash-index</slug>
<name>Hash Index</name>
<description>An index providing constant-time access using hash functions.</description>
<category>Key-value Index</category>
<supportedDatabases>["Redis","MySQL (MEMORY)","PostgreSQL","Some NoSQL databases"]</supportedDatabases>
<useCases>["Equality searches","Point lookups","Transaction processing","Key-value access"]</useCases>
</item>
<item>
<code>3</code>
<slug>bitmap-index</slug>
<name>Bitmap Index</name>
<description>An index using bit arrays optimized for low-cardinality columns.</description>
<category>Analytical Index</category>
<supportedDatabases>["Oracle","PostgreSQL (extensions)","Data warehouse systems"]</supportedDatabases>
<useCases>["Low-cardinality columns","Data warehousing","Complex filtering","Read-heavy environments"]</useCases>
</item>
<item>
<code>4</code>
<slug>full-text-index</slug>
<name>Full-Text Index</name>
<description>An index specialized for searching unstructured text data.</description>
<category>Text Search Index</category>
<supportedDatabases>["MySQL","PostgreSQL","SQL Server","Elasticsearch"]</supportedDatabases>
<useCases>["Full-text search","Partial match search","Similar word search","Document search"]</useCases>
</item>
<item>
<code>5</code>
<slug>vector-index</slug>
<name>Vector Index</name>
<description>An index specialized for similarity search of high-dimensional vectors.</description>
<category>AI/ML Index</category>
<supportedDatabases>["PostgreSQL (pgvector)","Pinecone","Milvus","Weaviate"]</supportedDatabases>
<useCases>["Similarity search","Image search","Recommendation systems","Semantic search"]</useCases>
</item>
<item>
<code>6</code>
<slug>spatial-index</slug>
<name>Spatial Index</name>
<description>An index specialized for searching geospatial data.</description>
<category>Geospatial Index</category>
<supportedDatabases>["PostgreSQL (PostGIS)","MySQL","Oracle Spatial","MongoDB"]</supportedDatabases>
<useCases>["Neighbor search","Range search","Distance calculation","Geographic information search"]</useCases>
</item>
</items>