Function score query in Elasticsearch - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to start a function score query with the correct key.

Elasticsearch

{
  "[1]": {
    "query": {
      "match_all": {}
    }
  }
}

Drag options to blanks, or click blank then click option'

Afunction_score

Bmatch

Cbool

Dterm

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'match' or 'bool' instead of 'function_score' as the root key.

The top-level key for a function score query is function_score.

2fill in blank

medium

Complete the code to add a weight function inside the function score query.

Elasticsearch

{
  "function_score": {
    "query": { "match_all": {} },
    "functions": [
      {
        "[1]": 5
      }
    ]
  }
}

Drag options to blanks, or click blank then click option'

Arandom_score

Bscript_score

Cweight

Dfield_value_factor

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'script_score' or 'random_score' when a fixed weight is needed.

The weight function assigns a fixed weight to matching documents.

3fill in blank

hard

Fix the error in the function score query by completing the missing key for the filter.

Elasticsearch

{
  "function_score": {
    "query": { "match_all": {} },
    "functions": [
      {
        "filter": { "term": { "status": "active" } },
        "weight": 3
      }
    ],
    "[1]": "sum"
  }
}

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Amax_boost

Bscore_mode

Cboost_mode

Dmin_score

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'boost_mode' or 'min_score' instead of 'score_mode' for combining function scores.

The score_mode defines how scores from functions are combined, e.g., 'sum'.

4fill in blank

hard

Fill both blanks to create a function score query that uses a field value factor and multiplies the score.

Elasticsearch

{
  "function_score": {
    "query": { "match": { "title": "[1]" } },
    "functions": [
      {
        "field_value_factor": {
          "field": "popularity"
        }
      }
    ],
    "[2]": "multiply"
  }
}

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Aelasticsearch

Bscore_mode

Cboost_mode

Dquery_string

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'query_string' instead of the search term.

Confusing 'boost_mode' with 'score_mode'.

The query matches the term 'elasticsearch' in the title, and score_mode is set to 'multiply' to multiply scores.

5fill in blank

hard

Fill all three blanks to build a function score query with a script score, a filter, and a boost mode.

Elasticsearch

{
  "function_score": {
    "query": { "match_all": {} },
    "functions": [
      {
        "[1]": {
          "script": {
            "source": "doc['views'].value / 10"
          }
        },
        "filter": { "term": { "category": "[2]" } }
      }
    ],
    "[3]": "replace"
  }
}

Drag options to blanks, or click blank then click option'

Ascript_score

Btechnology

Cboost_mode

Dweight

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'weight' instead of 'script_score' for the function.

Confusing 'score_mode' with 'boost_mode'.

The function uses a script_score to calculate score, filters by category 'technology', and sets boost_mode to 'replace' to use function score only.