Wildcard searches

Elastic Stack Elasticsearch
5

I found the solution..i was using ngram as filter instead of tokeniser. Below code snippets worked.

Created a index with below metadata,

curl -X PUT "localhost:9200/my_index" -H 'Content-Type: application/json' -d'
{
  "settings": {
    "analysis": {
      "analyzer": {
        "autocomplete": {
          "tokenizer": "autocomplete",
          "filter": [
            "lowercase"
          ]
        },
        "autocomplete_search": {
          "tokenizer": "lowercase"
        }
      },
      "tokenizer": {
        "autocomplete": {
          "type": "ngram",
          "min_gram": 1,
          "max_gram": 10,
          "token_chars": [
                          "letter",
                          "digit",
                          "punctuation",
                          "symbol"
                          ]
        }
      }
    }
  },
  "mappings": {
    "_doc": {
      "properties": {
        "title": {
          "type": "text",
          "analyzer": "autocomplete",
          "search_analyzer": "autocomplete_search"
        }
      }
    }
  }
}

Inserted 2 records...

curl -X PUT "localhost:9200/my_index/_doc/1" -H 'Content-Type: application/json' -d'
{
  "title": "Quick Foxes" 
}
'curl -X PUT "localhost:9200/my_index/_doc/2" -H 'Content-Type: application/json' -d'
{
  "title": "Quick Tiger" 
}
'

Now if i search for "Quick Fo" with below query, it gives me only _doc 1, as it is matching both "Quick" and "Fo".

curl -X GET "localhost:9200/my_index/_search" -H 'Content-Type: application/json' -d'
{
  "query": {
    "match": {
      "title": {
        "query": "Quick Fo", 
        "operator": "and"
      }
    }
  }
}
'

This is what i wanted. But with ngram as filter it was giving result even if just "Quick" matches.