Boosting query in Elasticsearch - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a boosting query that lowers the score of documents matching the negative query.

Elasticsearch

{
  "query": {
    "boosting": {
      "positive": { "match_all": {} },
      "negative": { "term": { "status": "archived" } },
      "[1]": 0.2
    }
  }
}

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

Ascore

Bnegative_boost

Cboost

Dweight

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'boost' instead of 'negative_boost' causes an error.

Using 'score' or 'weight' are not valid parameters here.

The negative_boost parameter sets the factor by which the score of documents matching the negative query is reduced.

2fill in blank

medium

Complete the code to boost documents matching the positive query with a higher score.

Elasticsearch

{
  "query": {
    "boosting": {
      "positive": { "match": { "title": "[1]" } },
      "negative": { "term": { "status": "draft" } },
      "boost": 1.5
    }
  }
}

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

Aelasticsearch

Bpython

Cjavascript

Djava

Attempts:

3 left

💡 Hint

Common Mistakes

Using unrelated programming languages as the match term.

Leaving the match term empty causes no boost.

The positive query matches documents with the word elasticsearch in the title, boosting their score.

3fill in blank

hard

Fix the error in the boosting query by completing the missing field name.

Elasticsearch

{
  "query": {
    "boosting": {
      "positive": { "match": { "content": "search" } },
      "negative": { "term": { "status": "deprecated" } },
      "[1]": 0.1
    }
  }
}

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

Aweight

Bscore

Cnegative_boost

Dboost

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'boost' instead of 'negative_boost' causes errors.

Using 'score' or 'weight' are invalid here.

The correct field to reduce the score of negative matches is negative_boost.

4fill in blank

hard

Fill both blanks to create a boosting query that boosts documents with 'python' in the title and lowers score for status 'obsolete'.

Elasticsearch

{
  "query": {
    "boosting": {
      "positive": { "match": { "title": "[1]" } },
      "negative": { "term": { "status": "[2]" } },
      "boost": 2.0
    }
  }
}

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

Apython

Bjava

Cobsolete

Ddraft

Attempts:

3 left

💡 Hint

Common Mistakes

Mixing up positive and negative query terms.

Using unrelated status values.

The positive query matches 'python' in the title, and the negative query matches documents with status 'obsolete' to lower their score.

5fill in blank

hard

Fill all three blanks to create a boosting query that boosts documents with 'cloud' in description, lowers score for status 'inactive', and sets boost factor to 0.3.

Elasticsearch

{
  "query": {
    "boosting": {
      "positive": { "match": { "description": "[1]" } },
      "negative": { "term": { "status": "[2]" } },
      "[3]": 0.3
    }
  }
}

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Acloud

Binactive

Cnegative_boost

Dactive

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'active' instead of 'inactive' for negative query.

Using wrong field name instead of 'negative_boost'.

The positive query matches 'cloud' in description, the negative query matches status 'inactive', and the boost factor is set with negative_boost.