Simple pattern split tokenizer

The simple_pattern_split tokenizer uses a regular expression to split the input into terms at pattern matches. The set of regular expression features it supports is more limited than the pattern tokenizer, but the tokenization is generally faster.

This tokenizer does not produce terms from the matches themselves. To produce terms from matches using patterns in the same restricted regular expression subset, see the simple_pattern tokenizer.

This tokenizer uses Lucene regular expressions. For an explanation of the supported features and syntax, see Regular Expression Syntax.

The default pattern is the empty string, which produces one term containing the full input. This tokenizer should always be configured with a non-default pattern.

The simple_pattern_split tokenizer accepts the following parameters:

This example configures the simple_pattern_split tokenizer to split the input text on underscores.

resp = client.indices.create(
    index="my-index-000001",
    settings={
        "analysis": {
            "analyzer": {
                "my_analyzer": {
                    "tokenizer": "my_tokenizer"
                }
            },
            "tokenizer": {
                "my_tokenizer": {
                    "type": "simple_pattern_split",
                    "pattern": "_"
                }
            }
        }
    },
)
print(resp)

resp1 = client.indices.analyze(
    index="my-index-000001",
    analyzer="my_analyzer",
    text="an_underscored_phrase",
)
print(resp1)

response = client.indices.create(
  index: 'my-index-000001',
  body: {
    settings: {
      analysis: {
        analyzer: {
          my_analyzer: {
            tokenizer: 'my_tokenizer'
          }
        },
        tokenizer: {
          my_tokenizer: {
            type: 'simple_pattern_split',
            pattern: '_'
          }
        }
      }
    }
  }
)
puts response

response = client.indices.analyze(
  index: 'my-index-000001',
  body: {
    analyzer: 'my_analyzer',
    text: 'an_underscored_phrase'
  }
)
puts response

const response = await client.indices.create({
  index: "my-index-000001",
  settings: {
    analysis: {
      analyzer: {
        my_analyzer: {
          tokenizer: "my_tokenizer",
        },
      },
      tokenizer: {
        my_tokenizer: {
          type: "simple_pattern_split",
          pattern: "_",
        },
      },
    },
  },
});
console.log(response);

const response1 = await client.indices.analyze({
  index: "my-index-000001",
  analyzer: "my_analyzer",
  text: "an_underscored_phrase",
});
console.log(response1);

PUT my-index-000001
{
  "settings": {
    "analysis": {
      "analyzer": {
        "my_analyzer": {
          "tokenizer": "my_tokenizer"
        }
      },
      "tokenizer": {
        "my_tokenizer": {
          "type": "simple_pattern_split",
          "pattern": "_"
        }
      }
    }
  }
}

POST my-index-000001/_analyze
{
  "analyzer": "my_analyzer",
  "text": "an_underscored_phrase"
}

The above example produces these terms:

[ an, underscored, phrase ]