Elasticsearch - Search with wildcards

Question

I\'ve managed to populate my index with 4 documents using this bulk request:

POST localhost:9200/titles/movies/_bulk

{\"index\":{\"_id\"         


        

Answer 1

Elasticsearch provides regex support in the the regular match query

GET titles/movies/_search
{
    "query": {
        "match" : { "titles.value" : "The * the *" }
    }
}

Gives you this

{
  "took": 4,
  "timed_out": false,
  "_shards": {
    "total": 5,
    "successful": 5,
    "failed": 0
  },
  "hits": {
    "total": 2,
    "max_score": 1.6406528,
    "hits": [
      {
        "_index": "titles",
        "_type": "movies",
        "_id": "4",
        "_score": 1.6406528,
        "_source": {
          "id": "4",
          "level": "second",
          "titles": [
            {
              "value": "Bambi",
              "type": "Educational",
              "main": true
            },
            {
              "value": "The Baby Deer and the hunter (1942)",
              "type": "Fantasy",
              "main": false
            }
          ]
        }
      },
      {
        "_index": "titles",
        "_type": "movies",
        "_id": "1",
        "_score": 0.9026783,
        "_source": {
          "id": "1",
          "level": "first",
          "titles": [
            {
              "value": "The Bad and the Beautiful",
              "type": "Catalogue",
              "main": true
            },
            {
              "value": "The Bad and the Beautiful (1945)",
              "type": "International",
              "main": false
            }
          ]
        }
      }
    ]
  }
}

To update to your question URI search, I'm not sure if it is possible, if you do it with curl you just omit the query dsl as data

curl localhost:9200/titles/movies/_search -d '{"query":{"match":{"titles.value":"The * the *"}}}'

{"took":46,"timed_out":false,"_shards":{"total":5,"successful":5,"failed":0},"hits":{"total":2,"max_score":1.6406528,"hits":[{"_index":"titles","_type":"movies","_id":"4","_score":1.6406528,"_source":{"id": "4","level": "second","titles": [{"value": "Bambi","type": "Educational","main": true},{"value": "The Baby Deer and the hunter (1942)","type": "Fantasy","main": false}]}},{"_index":"titles","_type":"movies","_id":"1","_score":0.9026783,"_source":{"id": "1","level": "first","titles": [{"value": "The Bad and the Beautiful","type": "Catalogue","main": true},{"value": "The Bad and the Beautiful (1945)","type": "International","main": false}]}}]}}

---

Update to latest question:

Well if you want to sort by level, you need to provide a mapping for elasticsearch. What I did:

Delete index

DELETE titles

Add mapping

PUT titles
{
  "settings": {
    "number_of_shards": 1
  }, 
  "mappings": {
    "movies": {
      "properties": {
        "level": {
          "type": "keyword"
        }
      }
    }
  }
}

Refine Query DSL

GET titles/movies/_search
{
  "_source": [
    "id",
    "level",
    "titles.value"
  ],
  "sort": [
    {
      "level": {
        "order": "asc"
      }
    }
  ],
  "query": {
    "match": {
      "titles.value": "The * the *"
    }
  }
}

That gives me

{
  "took": 4,
  "timed_out": false,
  "_shards": {
    "total": 1,
    "successful": 1,
    "failed": 0
  },
  "hits": {
    "total": 2,
    "max_score": null,
    "hits": [
      {
        "_index": "titles",
        "_type": "movies",
        "_id": "1",
        "_score": null,
        "_source": {
          "level": "first",
          "id": "1",
          "titles": [
            {
              "value": "The Bad and the Beautiful"
            },
            {
              "value": "The Bad and the Beautiful (1945)"
            }
          ]
        },
        "sort": [
          "first"
        ]
      },
      {
        "_index": "titles",
        "_type": "movies",
        "_id": "4",
        "_score": null,
        "_source": {
          "level": "second",
          "id": "4",
          "titles": [
            {
              "value": "Bambi"
            },
            {
              "value": "The Baby Deer and the hunter (1942)"
            }
          ]
        },
        "sort": [
          "second"
        ]
      }
    ]
  }
}