156 lines
3.1 KiB
Plaintext
156 lines
3.1 KiB
Plaintext
[[analysis-simple-analyzer]]
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=== Simple Analyzer
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The `simple` analyzer breaks text into terms whenever it encounters a
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character which is not a letter. All terms are lower cased.
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[float]
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=== Example output
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[source,js]
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---------------------------
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POST _analyze
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{
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"analyzer": "simple",
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"text": "The 2 QUICK Brown-Foxes jumped over the lazy dog's bone."
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}
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---------------------------
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// CONSOLE
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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": "the",
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"start_offset": 0,
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"end_offset": 3,
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"type": "word",
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"position": 0
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},
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{
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"token": "quick",
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"start_offset": 6,
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"end_offset": 11,
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"type": "word",
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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": 12,
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"end_offset": 17,
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"type": "word",
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"position": 2
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},
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{
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"token": "foxes",
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"start_offset": 18,
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"end_offset": 23,
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"type": "word",
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"position": 3
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},
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{
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"token": "jumped",
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"start_offset": 24,
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"end_offset": 30,
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"type": "word",
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"position": 4
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},
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{
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"token": "over",
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"start_offset": 31,
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"end_offset": 35,
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"type": "word",
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"position": 5
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},
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{
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"token": "the",
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"start_offset": 36,
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"end_offset": 39,
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"type": "word",
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"position": 6
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},
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{
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"token": "lazy",
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"start_offset": 40,
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"end_offset": 44,
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"type": "word",
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"position": 7
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},
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{
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"token": "dog",
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"start_offset": 45,
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"end_offset": 48,
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"type": "word",
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"position": 8
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},
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{
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"token": "s",
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"start_offset": 49,
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"end_offset": 50,
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"type": "word",
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"position": 9
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},
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{
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"token": "bone",
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"start_offset": 51,
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"end_offset": 55,
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"type": "word",
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"position": 10
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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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The above sentence would produce the following terms:
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[source,text]
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---------------------------
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[ the, quick, brown, foxes, jumped, over, the, lazy, dog, s, bone ]
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---------------------------
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[float]
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=== Configuration
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The `simple` analyzer is not configurable.
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[float]
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=== Definition
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The `simple` analzyer consists of:
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Tokenizer::
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* <<analysis-lowercase-tokenizer,Lower Case Tokenizer>>
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If you need to customize the `simple` analyzer then you need to recreate
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it as a `custom` analyzer and modify it, usually by adding token filters.
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This would recreate the built-in `simple` analyzer and you can use it as
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a starting point for further customization:
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[source,js]
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----------------------------------------------------
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PUT /simple_example
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{
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"settings": {
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"analysis": {
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"analyzer": {
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"rebuilt_simple": {
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"tokenizer": "lowercase",
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"filter": [ <1>
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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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// CONSOLE
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// TEST[s/\n$/\nstartyaml\n - compare_analyzers: {index: simple_example, first: simple, second: rebuilt_simple}\nendyaml\n/]
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<1> You'd add any token filters here.
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