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add whitespace tokenizer docs (#8484)
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* add whitespace tokenizer docs

Signed-off-by: Anton Rubin <[email protected]>

* Update whitespace.md

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* Update whitespace.md

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* Update whitespace.md

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* updating parameter table

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* Doc review

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* Update _analyzers/tokenizers/whitespace.md

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Co-authored-by: Nathan Bower <[email protected]>
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---------

Signed-off-by: Anton Rubin <[email protected]>
Signed-off-by: AntonEliatra <[email protected]>
Signed-off-by: Fanit Kolchina <[email protected]>
Signed-off-by: kolchfa-aws <[email protected]>
Co-authored-by: Fanit Kolchina <[email protected]>
Co-authored-by: kolchfa-aws <[email protected]>
Co-authored-by: Nathan Bower <[email protected]>
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2 changes: 1 addition & 1 deletion _analyzers/tokenizers/index.md
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layout: default
title: Tokenizers
nav_order: 60
has_children: false
has_children: true
has_toc: false
redirect_from:
- /analyzers/tokenizers/index/
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110 changes: 110 additions & 0 deletions _analyzers/tokenizers/whitespace.md
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---
layout: default
title: Whitespace
parent: Tokenizers
nav_order: 160
---

# Whitespace tokenizer

The `whitespace` tokenizer splits text at white space characters, such as spaces, tabs, and new lines. It treats each word separated by white space as a token and does not perform any additional analysis or normalization like lowercasing or punctuation removal.

## Example usage

The following example request creates a new index named `my_index` and configures an analyzer with a `whitespace` tokenizer:

```json
PUT /my_index
{
"settings": {
"analysis": {
"tokenizer": {
"whitespace_tokenizer": {
"type": "whitespace"
}
},
"analyzer": {
"my_whitespace_analyzer": {
"type": "custom",
"tokenizer": "whitespace_tokenizer"
}
}
}
},
"mappings": {
"properties": {
"content": {
"type": "text",
"analyzer": "my_whitespace_analyzer"
}
}
}
}
```
{% include copy-curl.html %}

## Generated tokens

Use the following request to examine the tokens generated using the analyzer:

```json
POST /my_index/_analyze
{
"analyzer": "my_whitespace_analyzer",
"text": "OpenSearch is fast! Really fast."
}
```
{% include copy-curl.html %}

The response contains the generated tokens:

```json
{
"tokens": [
{
"token": "OpenSearch",
"start_offset": 0,
"end_offset": 10,
"type": "word",
"position": 0
},
{
"token": "is",
"start_offset": 11,
"end_offset": 13,
"type": "word",
"position": 1
},
{
"token": "fast!",
"start_offset": 14,
"end_offset": 19,
"type": "word",
"position": 2
},
{
"token": "Really",
"start_offset": 20,
"end_offset": 26,
"type": "word",
"position": 3
},
{
"token": "fast.",
"start_offset": 27,
"end_offset": 32,
"type": "word",
"position": 4
}
]
}
```

## Parameters

The `whitespace` tokenizer can be configured with the following parameter.

Parameter | Required/Optional | Data type | Description
:--- | :--- | :--- | :---
`max_token_length` | Optional | Integer | Sets the maximum length of the produced token. If this length is exceeded, the token is split into multiple tokens at the length configured in `max_token_length`. Default is `255`.

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