elasticsearch/docs/reference/analysis/analyzers/simple-analyzer.asciidoc

[[analysis-simple-analyzer]]
=== Simple Analyzer

The `simple` analyzer breaks text into terms whenever it encounters a
character which is not a letter. All terms are lower cased.

[float]
=== Example output

[source,js]
---------------------------
POST _analyze
{
  "analyzer": "simple",
  "text": "The 2 QUICK Brown-Foxes jumped over the lazy dog's bone."
}
---------------------------
// CONSOLE

/////////////////////

[source,js]
----------------------------
{
  "tokens": [
    {
      "token": "the",
      "start_offset": 0,
      "end_offset": 3,
      "type": "word",
      "position": 0
    },
    {
      "token": "quick",
      "start_offset": 6,
      "end_offset": 11,
      "type": "word",
      "position": 1
    },
    {
      "token": "brown",
      "start_offset": 12,
      "end_offset": 17,
      "type": "word",
      "position": 2
    },
    {
      "token": "foxes",
      "start_offset": 18,
      "end_offset": 23,
      "type": "word",
      "position": 3
    },
    {
      "token": "jumped",
      "start_offset": 24,
      "end_offset": 30,
      "type": "word",
      "position": 4
    },
    {
      "token": "over",
      "start_offset": 31,
      "end_offset": 35,
      "type": "word",
      "position": 5
    },
    {
      "token": "the",
      "start_offset": 36,
      "end_offset": 39,
      "type": "word",
      "position": 6
    },
    {
      "token": "lazy",
      "start_offset": 40,
      "end_offset": 44,
      "type": "word",
      "position": 7
    },
    {
      "token": "dog",
      "start_offset": 45,
      "end_offset": 48,
      "type": "word",
      "position": 8
    },
    {
      "token": "s",
      "start_offset": 49,
      "end_offset": 50,
      "type": "word",
      "position": 9
    },
    {
      "token": "bone",
      "start_offset": 51,
      "end_offset": 55,
      "type": "word",
      "position": 10
    }
  ]
}
----------------------------
// TESTRESPONSE

/////////////////////


The above sentence would produce the following terms:

[source,text]
---------------------------
[ the, quick, brown, foxes, jumped, over, the, lazy, dog, s, bone ]
---------------------------

[float]
=== Configuration

The `simple` analyzer is not configurable.

[float]
=== Definition

The `simple` analzyer consists of:

Tokenizer::
* <<analysis-lowercase-tokenizer,Lower Case Tokenizer>>

If you need to customize the `simple` analyzer then you need to recreate
it as a `custom` analyzer and modify it, usually by adding token filters.
This would recreate the built-in `simple` analyzer and you can use it as
a starting point for further customization:

[source,js]
----------------------------------------------------
PUT /simple_example
{
  "settings": {
    "analysis": {
      "analyzer": {
        "rebuilt_simple": {
          "tokenizer": "lowercase",
          "filter": [         <1>
          ]
        }
      }
    }
  }
}
----------------------------------------------------
// CONSOLE
// TEST[s/\n$/\nstartyaml\n  - compare_analyzers: {index: simple_example, first: simple, second: rebuilt_simple}\nendyaml\n/]
<1> You'd add any token filters here.