CODEWITHSUNDEEP
pythondjangoelasticsearchelasticsearch-dsl
SLDem
SLDem

Reputation: 2182

How can I get all results containing elasticsearch-dsl query keyword?

When I query my PostDocument it returns the results that only contain full words from the query. For example if there were 4 posts:

1. "Post 1"
2. "Post 2"
3. "Posts 3"
4. "Po 4"

and I query it with: posts = PostDocument.search().query('match', body="Post") it will return items 1 and 2, if body="Po" it will return only item 4. How can I write the query so it returns all the results that contain the keyword? For example if I did this body="Po" I would get all 4 items.

Upvotes: 1

Views: 917

Answers (1)

Bhavya
Bhavya

Reputation: 16192

You can use the edge_ngram tokenizer first breaks text down into words whenever it encounters one of a list of specified characters, then it emits N-grams of each word where the start of the N-gram is anchored to the beginning of the word.

Adding a working example with index data, mapping, search query, and search result

Index Mapping:

{
  "settings": {
    "analysis": {
      "analyzer": {
        "my_analyzer": {
          "tokenizer": "my_tokenizer"
        }
      },
      "tokenizer": {
        "my_tokenizer": {
          "type": "edge_ngram",
          "min_gram": 2,
          "max_gram": 10,
          "token_chars": [
            "letter",
            "digit"
          ]
        }
      }
    },
    "max_ngram_diff": 50
  },
  "mappings": {
    "properties": {
      "body": {
        "type": "text",
        "analyzer": "my_analyzer"
      }
    }
  }
}

Index Data:

{
  "body": "Post 1"
}
{
  "body": "Post 2"
}
{
  "body": "Posts 3"
}
{
  "body": "Po 4"
}

Search Query:

{
    "query": {
        "match": {
            "body": "Po"
        }
    }
}

Search Result:

"hits": [
      {
        "_index": "64684245",
        "_type": "_doc",
        "_id": "4",
        "_score": 0.1424427,
        "_source": {
          "body": "Po 4"
        }
      },
      {
        "_index": "64684245",
        "_type": "_doc",
        "_id": "1",
        "_score": 0.10158265,
        "_source": {
          "body": "Post 1"
        }
      },
      {
        "_index": "64684245",
        "_type": "_doc",
        "_id": "2",
        "_score": 0.10158265,
        "_source": {
          "body": "Post 2"
        }
      },
      {
        "_index": "64684245",
        "_type": "_doc",
        "_id": "3",
        "_score": 0.088840574,
        "_source": {
          "body": "Posts 3"
        }
      }
    ]

Upvotes: 1

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