> ## Documentation Index
> Fetch the complete documentation index at: https://clickhouse.com/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# use_text_* session settings

> ClickHouse session settings in the use_text_* generated group.

export const SettingsInfoBlock = ({type, default_value, changeable_without_restart}) => {
  return <div className="not-prose" style={{
    display: "flex",
    flexWrap: "wrap",
    alignItems: "baseline",
    columnGap: "0.5rem",
    rowGap: "0.125rem",
    margin: "0.375rem 0",
    fontSize: "0.8125rem",
    lineHeight: "1.125rem"
  }}>
      <div style={{
    fontWeight: 600,
    opacity: 0.72
  }}>Type</div>
      <div style={{
    overflowWrap: "anywhere"
  }}>{type}</div>
      <div style={{
    fontWeight: 600,
    opacity: 0.72,
    marginInlineStart: "0.5rem"
  }}>Default</div>
      <div style={{
    overflowWrap: "anywhere"
  }}>{default_value}</div>
      {changeable_without_restart && <div style={{
    fontWeight: 600,
    opacity: 0.72,
    marginInlineStart: "0.5rem"
  }}>
          Changeable without restart
        </div>}
      {changeable_without_restart && <div style={{
    overflowWrap: "anywhere"
  }}>
          {changeable_without_restart}
        </div>}
    </div>;
};

These settings are available in [system.settings](/docs/reference/system-tables/settings) and are autogenerated from [source](https://github.com/ClickHouse/ClickHouse/blob/master/src/Core/Settings.cpp).

<h2 id="use_text_index_header_cache">
  use\_text\_index\_header\_cache
</h2>

<SettingsInfoBlock type="Bool" default_value="1" />

<VersionHistory rows={[{"id": "row-1","items": [{"label": "26.7"},{"label": "1"},{"label": "Enabled the text index header cache globally."}]}, {"id": "row-2","items": [{"label": "25.11"},{"label": "0"},{"label": "New setting"}]}]} />

Whether to cache deserialized text index headers in memory.
Using the text index header cache can significantly reduce latency and increase throughput when working with a large number of text index queries.

<h2 id="use_text_index_like_evaluation_by_dictionary_scan">
  use\_text\_index\_like\_evaluation\_by\_dictionary\_scan
</h2>

<SettingsInfoBlock type="Bool" default_value="1" />

<VersionHistory rows={[{"id": "row-1","items": [{"label": "26.4"},{"label": "1"},{"label": "New setting"}]}]} />

Enable evaluation of LIKE/ILIKE queries by scanning the inverted text index dictionary.

<h2 id="use_text_index_postings_cache">
  use\_text\_index\_postings\_cache
</h2>

<SettingsInfoBlock type="Bool" default_value="0" />

<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.11"},{"label": "0"},{"label": "New setting"}]}]} />

Whether to cache deserialized text index deserialized posting lists in memory.
Using the text index postings cache can significantly reduce latency and increase throughput when working with a large number of text index queries.

<h2 id="use_text_index_tokens_cache">
  use\_text\_index\_tokens\_cache
</h2>

<SettingsInfoBlock type="Bool" default_value="1" />

<VersionHistory rows={[{"id": "row-1","items": [{"label": "26.7"},{"label": "1"},{"label": "Enabled the text index tokens cache globally."}]}, {"id": "row-2","items": [{"label": "26.3"},{"label": "0"},{"label": "New setting"}]}]} />

Whether to cache deserialized text index token infos in memory.
Using the text index tokens cache can significantly reduce latency and increase throughput when working with a large number of text index queries.