Hash indexes provide O(1) lookup for exact matches by jumping directly to a bucket, making them ideal for equality queries, but they cannot efficiently handle range scans or sorted data since they lack ordering. B-trees maintain keys in sorted order, requiring slightly more steps for single lookups but enabling efficient range scans, prefix queries, and sorting operations. Use hash indexes for exact match queries and B-trees when order matters or when performing range-based operations.
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B-tree vs Hash Index #coding #data-structures #computer-science #B-tree #hash-index #database-indexHinzugefügt:
Your index is fast until the query asks for a range. A hash index jumps straight to one bucket. Great for equals, terrible for sorted ranges. A B-tree keeps keys ordered. Slightly more steps for one look up, but range scans, prefixes, and sorting become natural.
Use hash for exact matches. Use B-trees when order matters. Hit subscribe one CS concept every single day.
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