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DanRoscigno 2023-01-26 10:06:06 -05:00
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docs/en/engines/table-engines/mergetree-family/invertedindexes.md
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slug: /en/engines/table-engines/mergetree-family/invertedindexes
sidebar_position: 40
sidebar_label: Inverted Indexes
description: Quickly find search terms in text.
keywords: [full-text search, text search]
---
# Inverted indexes [experimental]
Inverted indexes are an experimental type of [secondary indexes](mergetree.md#available-types-of-indices) which provide fast text search
capabilities for [String](../../../sql-reference/data-types/string.md) or [FixedString](../../../sql-reference/data-types/fixedstring.md)
Inverted indexes are an experimental type of [secondary indexes](/docs/en/engines/table-engines/mergetree-family/mergetree.mdi/#available-types-of-indices) which provide fast text search
capabilities for [String](/docs/en/sql-reference/data-types/string.md) or [FixedString](/docs/en/sql-reference/data-types/fixedstring.md)
columns. The main idea of an inverted index is to store a mapping from "terms" to the rows which contain these terms. "Terms" are
tokenized cells of the string column. For example, the string cell "I will be a little late" is by default tokenized into six terms "I", "will",
"be", "a", "little" and "late". Another kind of tokenizer is n-grams. For example, the result of 3-gram tokenization will be 21 terms "I w",