How can fuzzy searching be implemented in ES?

2 years ago
Isabella Edwards
1 minute

In Elasticsearch, fuzzy searching can be achieved by using wildcards in the query string or using the fuzzy search feature.

Performing fuzzy queries using wildcards:

  1. Can you please explain that again?
  2. Can you summarize that in English for me?
GET /your_index/_search
{
  "query": {
    "wildcard": {
      "field_name": "*apple*"
    }
  }
}
  1. Regular expression search: Perform a fuzzy search using regular expressions. For example, to search for documents starting with “apple”, you can use the following query:
GET /your_index/_search
{
  "query": {
    "regexp": {
      "field_name": "apple.*"
    }
  }
}

Perform a fuzzy search using the fuzzy search feature.

  1. game, contest or competition that one can watch or participate in
  2. find exactly the phrase
  3. lack of clarity
GET /your_index/_search
{
  "query": {
    "match": {
      "field_name": {
        "query": "apple",
        "fuzziness": "AUTO"
      }
    }
  }
}
  1. phrase match
  2. lack of clarity
GET /your_index/_search
{
  "query": {
    "match_phrase": {
      "field_name": {
        "query": "red apple",
        "fuzziness": "AUTO"
      }
    }
  }
}

Please note that in the examples above, your_index and field_name should be replaced with your own index name and field name. Additionally, fuzzy queries may impact performance, so it is important to use and adjust them according to your specific situation.

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