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* adding pattern_capture token filter docs #8240 Signed-off-by: Anton Rubin <anton.rubin@eliatra.com> * updating parameter table Signed-off-by: Anton Rubin <anton.rubin@eliatra.com> * Doc review Signed-off-by: Fanit Kolchina <kolchfa@amazon.com> * Apply suggestions from code review Co-authored-by: Nathan Bower <nbower@amazon.com> Signed-off-by: kolchfa-aws <105444904+kolchfa-aws@users.noreply.github.com> --------- Signed-off-by: Anton Rubin <anton.rubin@eliatra.com> Signed-off-by: Fanit Kolchina <kolchfa@amazon.com> Signed-off-by: kolchfa-aws <105444904+kolchfa-aws@users.noreply.github.com> Co-authored-by: Fanit Kolchina <kolchfa@amazon.com> Co-authored-by: kolchfa-aws <105444904+kolchfa-aws@users.noreply.github.com> Co-authored-by: Nathan Bower <nbower@amazon.com> (cherry picked from commit b1073cf) Signed-off-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
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--- | ||
layout: default | ||
title: Pattern capture | ||
parent: Token filters | ||
nav_order: 310 | ||
--- | ||
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# Pattern capture token filter | ||
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The `pattern_capture` token filter is a powerful filter that uses regular expressions to capture and extract parts of text according to specific patterns. This filter can be useful when you want to extract particular parts of tokens, such as email domains, hashtags, or numbers, and reuse them for further analysis or indexing. | ||
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## Parameters | ||
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The `pattern_capture` token filter can be configured with the following parameters. | ||
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Parameter | Required/Optional | Data type | Description | ||
:--- | :--- | :--- | :--- | ||
`patterns` | Required | Array of strings | An array of regular expressions used to capture parts of text. | ||
`preserve_original` | Required | Boolean| Whether to keep the original token in the output. Default is `true`. | ||
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## Example | ||
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The following example request creates a new index named `email_index` and configures an analyzer with a `pattern_capture` filter to extract the local part and domain name from an email address: | ||
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```json | ||
PUT /email_index | ||
{ | ||
"settings": { | ||
"analysis": { | ||
"filter": { | ||
"email_pattern_capture": { | ||
"type": "pattern_capture", | ||
"preserve_original": true, | ||
"patterns": [ | ||
"^([^@]+)", | ||
"@(.+)$" | ||
] | ||
} | ||
}, | ||
"analyzer": { | ||
"email_analyzer": { | ||
"tokenizer": "uax_url_email", | ||
"filter": [ | ||
"email_pattern_capture", | ||
"lowercase" | ||
] | ||
} | ||
} | ||
} | ||
} | ||
} | ||
``` | ||
{% include copy-curl.html %} | ||
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## Generated tokens | ||
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Use the following request to examine the tokens generated using the analyzer: | ||
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```json | ||
POST /email_index/_analyze | ||
{ | ||
"text": "john.doe@example.com", | ||
"analyzer": "email_analyzer" | ||
} | ||
``` | ||
{% include copy-curl.html %} | ||
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The response contains the generated tokens: | ||
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```json | ||
{ | ||
"tokens": [ | ||
{ | ||
"token": "john.doe@example.com", | ||
"start_offset": 0, | ||
"end_offset": 20, | ||
"type": "<EMAIL>", | ||
"position": 0 | ||
}, | ||
{ | ||
"token": "john.doe", | ||
"start_offset": 0, | ||
"end_offset": 20, | ||
"type": "<EMAIL>", | ||
"position": 0 | ||
}, | ||
{ | ||
"token": "example.com", | ||
"start_offset": 0, | ||
"end_offset": 20, | ||
"type": "<EMAIL>", | ||
"position": 0 | ||
} | ||
] | ||
} | ||
``` |