Elasticsearch wildcard VS querystring

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I've found 2 approaches for Like-Search in Elasticsearch. Which one of those whould I choose? They seem to have the same behaviour. Or is there even a better one?

query_string:

"query": {
"bool": {
  "filter": [
    {
      "query_string": {
        "query": "*quick*",
        "fields": [
          "text"
        ]
      }
    }
  ]
}
}

wildcard:

"query": {
"bool": {
    "must": [
        {
            "wildcard": {
                "text": "*quick*"
            }
        }
    ]
}
}

SQL would be WHERE text like '%quick%'

elasticsearch sql-like
1 Answers

I think, the difference is, that in the filter query no scores are calculated. In the documentation: In filter context, a query clause answers the question “Does this document match this query clause?” The answer is a simple Yes or No — no scores are calculated.

So i would use wildcard query. There you can use * for more characters and ? for only one character - depending on your needs. And here, the scores are calculated.

user_80978040
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