[DOCS] Reformat common grams token filter (#48426)
This commit is contained in:
James Rodewig
parent
356066ce6a
commit
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@ -1,90 +1,52 @@
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[[analysis-common-grams-tokenfilter]]
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[[analysis-common-grams-tokenfilter]]
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=== Common Grams Token Filter
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=== Common grams token filter
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++++
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<titleabbrev>Common grams</titleabbrev>
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++++
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Token filter that generates bigrams for frequently occurring terms.
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Generates https://en.wikipedia.org/wiki/Bigram[bigrams] for a specified set of
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Single terms are still indexed. It can be used as an alternative to the
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common words.
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<<analysis-stop-tokenfilter,Stop
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Token Filter>> when we don't want to completely ignore common terms.
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For example, the text "the quick brown is a fox" will be tokenized as
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For example, you can specify `is` and `the` as common words. This filter then
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"the", "the_quick", "quick", "brown", "brown_is", "is", "is_a", "a",
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converts the tokens `[the, quick, fox, is, brown]` to `[the, the_quick, quick,
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"a_fox", "fox". Assuming "the", "is" and "a" are common words.
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fox, fox_is, is, is_brown, brown]`.
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When `query_mode` is enabled, the token filter removes common words and
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You can use the `common_grams` filter in place of the
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single terms followed by a common word. This parameter should be enabled
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<<analysis-stop-tokenfilter,stop token filter>> when you don't want to
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in the search analyzer.
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completely ignore common words.
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For example, the query "the quick brown is a fox" will be tokenized as
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This filter uses Lucene's
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"the_quick", "quick", "brown_is", "is_a", "a_fox", "fox".
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https://lucene.apache.org/core/{lucene_version_path}/analyzers-common/org/apache/lucene/analysis/commongrams/CommonGramsFilter.html[CommonGramsFilter].
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The following are settings that can be set:
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[[analysis-common-grams-analyze-ex]]
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==== Example
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[cols="<,<",options="header",]
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The following <<indices-analyze,analyze API>> request creates bigrams for `is`
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|=======================================================================
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and `the`:
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|Setting |Description
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|`common_words` |A list of common words to use.
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|`common_words_path` |A path (either relative to `config` location, or
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absolute) to a list of common words. Each word should be in its own
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"line" (separated by a line break). The file must be UTF-8 encoded.
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|`ignore_case` |If true, common words matching will be case insensitive
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(defaults to `false`).
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|`query_mode` |Generates bigrams then removes common words and single
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terms followed by a common word (defaults to `false`).
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|=======================================================================
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Note, `common_words` or `common_words_path` field is required.
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Here is an example:
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[source,console]
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[source,console]
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--------------------------------------------------
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--------------------------------------------------
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PUT /common_grams_example
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GET /_analyze
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{
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{
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"settings": {
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"analysis": {
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"analyzer": {
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"index_grams": {
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"tokenizer" : "whitespace",
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"tokenizer" : "whitespace",
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"filter": ["common_grams"]
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"filter" : [
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},
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"common_grams", {
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"search_grams": {
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"tokenizer": "whitespace",
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"filter": ["common_grams_query"]
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}
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},
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"filter": {
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"common_grams": {
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"type": "common_grams",
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"type": "common_grams",
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"common_words": ["the", "is", "a"]
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"common_words": ["is", "the"]
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},
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"common_grams_query": {
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"type": "common_grams",
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"query_mode": true,
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"common_words": ["the", "is", "a"]
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}
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}
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}
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}
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}
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],
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"text" : "the quick fox is brown"
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}
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}
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--------------------------------------------------
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--------------------------------------------------
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You can see the output by using e.g. the `_analyze` endpoint:
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The filter produces the following tokens:
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[source,console]
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[source,text]
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--------------------------------------------------
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--------------------------------------------------
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POST /common_grams_example/_analyze
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[ the, the_quick, quick, fox, fox_is, is, is_brown, brown ]
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{
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"analyzer" : "index_grams",
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"text" : "the quick brown is a fox"
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}
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--------------------------------------------------
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--------------------------------------------------
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// TEST[continued]
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And the response will be:
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/////////////////////
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[source,console-result]
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[source,console-result]
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--------------------------------------------------
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--------------------------------------------------
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{
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{
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@ -112,57 +74,155 @@ And the response will be:
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"position" : 1
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"position" : 1
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},
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},
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{
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{
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"token" : "brown",
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"token" : "fox",
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"start_offset" : 10,
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"start_offset" : 10,
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"end_offset" : 15,
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"end_offset" : 13,
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"type" : "word",
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"type" : "word",
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"position" : 2
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"position" : 2
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},
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},
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{
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{
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"token" : "brown_is",
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"token" : "fox_is",
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"start_offset" : 10,
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"start_offset" : 10,
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"end_offset" : 18,
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"end_offset" : 16,
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"type" : "gram",
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"type" : "gram",
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"position" : 2,
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"position" : 2,
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"positionLength" : 2
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"positionLength" : 2
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},
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},
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{
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{
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"token" : "is",
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"token" : "is",
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"start_offset" : 16,
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"start_offset" : 14,
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"end_offset" : 18,
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"end_offset" : 16,
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"type" : "word",
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"type" : "word",
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"position" : 3
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"position" : 3
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},
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},
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{
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{
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"token" : "is_a",
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"token" : "is_brown",
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"start_offset" : 16,
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"start_offset" : 14,
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"end_offset" : 20,
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"end_offset" : 22,
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"type" : "gram",
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"type" : "gram",
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"position" : 3,
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"position" : 3,
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"positionLength" : 2
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"positionLength" : 2
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},
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},
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{
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{
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"token" : "a",
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"token" : "brown",
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"start_offset" : 19,
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"start_offset" : 17,
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"end_offset" : 20,
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"end_offset" : 22,
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"type" : "word",
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"type" : "word",
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"position" : 4
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"position" : 4
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},
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{
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"token" : "a_fox",
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"start_offset" : 19,
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"end_offset" : 24,
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"type" : "gram",
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"position" : 4,
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"positionLength" : 2
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},
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{
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"token" : "fox",
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"start_offset" : 21,
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"end_offset" : 24,
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"type" : "word",
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"position" : 5
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}
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}
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]
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]
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}
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}
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--------------------------------------------------
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--------------------------------------------------
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/////////////////////
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[[analysis-common-grams-tokenfilter-analyzer-ex]]
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==== Add to an analyzer
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The following <<indices-create-index,create index API>> request uses the
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`common_grams` filter to configure a new
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<<analysis-custom-analyzer,custom analyzer>>:
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[source,console]
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--------------------------------------------------
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PUT /common_grams_example
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{
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"settings": {
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"analysis": {
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"analyzer": {
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"index_grams": {
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"tokenizer": "whitespace",
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"filter": ["common_grams"]
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}
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},
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"filter": {
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"common_grams": {
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"type": "common_grams",
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"common_words": ["a", "is", "the"]
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}
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}
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}
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}
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}
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--------------------------------------------------
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[[analysis-common-grams-tokenfilter-configure-parms]]
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==== Configurable parameters
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`common_words`::
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+
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--
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(Required+++*+++, array of strings)
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A list of tokens. The filter generates bigrams for these tokens.
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Either this or the `common_words_path` parameter is required.
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--
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`common_words_path`::
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+
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--
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(Required+++*+++, string)
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Path to a file containing a list of tokens. The filter generates bigrams for
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these tokens.
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This path must be absolute or relative to the `config` location. The file must
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be UTF-8 encoded. Each token in the file must be separated by a line break.
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Either this or the `common_words` parameter is required.
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--
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`ignore_case`::
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(Optional, boolean)
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If `true`, matches for common words matching are case-insensitive.
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Defaults to `false`.
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`query_mode`::
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+
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--
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(Optional, boolean)
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If `true`, the filter excludes the following tokens from the output:
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* Unigrams for common words
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* Unigrams for terms followed by common words
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Defaults to `false`. We recommend enabling this parameter for
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<<search-analyzer,search analyzers>>.
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For example, you can enable this parameter and specify `is` and `the` as
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common words. This filter converts the tokens `[the, quick, fox, is, brown]` to
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`[the_quick, quick, fox_is, is_brown,]`.
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--
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[[analysis-common-grams-tokenfilter-customize]]
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==== Customize
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To customize the `common_grams` filter, duplicate it to create the basis
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for a new custom token filter. You can modify the filter using its configurable
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parameters.
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For example, the following request creates a custom `common_grams` filter with
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`ignore_case` and `query_mode` set to `true`:
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[source,console]
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--------------------------------------------------
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PUT /common_grams_example
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{
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"settings": {
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"analysis": {
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"analyzer": {
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"index_grams": {
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"tokenizer": "whitespace",
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"filter": ["common_grams_query"]
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}
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},
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"filter": {
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"common_grams_query": {
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"type": "common_grams",
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"common_words": ["a", "is", "the"],
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"ignore_case": true,
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"query_mode": true
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}
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}
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}
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}
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}
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--------------------------------------------------
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