99 lines
2.2 KiB
Plaintext
99 lines
2.2 KiB
Plaintext
[[configuring-analyzers]]
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=== Configuring built-in analyzers
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The built-in analyzers can be used directly without any configuration. Some
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of them, however, support configuration options to alter their behaviour. For
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instance, the <<analysis-standard-analyzer,`standard` analyzer>> can be configured
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to support a list of stop words:
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[source,js]
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--------------------------------
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PUT my_index?include_type_name=true
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{
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"settings": {
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"analysis": {
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"analyzer": {
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"std_english": { <1>
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"type": "standard",
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"stopwords": "_english_"
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}
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}
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}
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},
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"mappings": {
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"_doc": {
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"properties": {
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"my_text": {
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"type": "text",
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"analyzer": "standard", <2>
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"fields": {
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"english": {
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"type": "text",
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"analyzer": "std_english" <3>
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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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POST my_index/_analyze
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{
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"field": "my_text", <2>
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"text": "The old brown cow"
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}
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POST my_index/_analyze
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{
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"field": "my_text.english", <3>
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"text": "The old brown cow"
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}
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--------------------------------
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// CONSOLE
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<1> We define the `std_english` analyzer to be based on the `standard`
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analyzer, but configured to remove the pre-defined list of English stopwords.
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<2> The `my_text` field uses the `standard` analyzer directly, without
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any configuration. No stop words will be removed from this field.
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The resulting terms are: `[ the, old, brown, cow ]`
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<3> The `my_text.english` field uses the `std_english` analyzer, so
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English stop words will be removed. The resulting terms are:
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`[ old, brown, cow ]`
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/////////////////////
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[source,js]
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----------------------------
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{
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"tokens": [
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{
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"token": "old",
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"start_offset": 4,
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"end_offset": 7,
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"type": "<ALPHANUM>",
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"position": 1
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},
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{
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"token": "brown",
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"start_offset": 8,
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"end_offset": 13,
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"type": "<ALPHANUM>",
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"position": 2
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},
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{
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"token": "cow",
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"start_offset": 14,
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"end_offset": 17,
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"type": "<ALPHANUM>",
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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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// TESTRESPONSE
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/////////////////////
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