Why advanced patterns solve production needs in Elasticsearch - Test Your Understanding

Practice - 5 Tasks

1fill in blank

easy

Complete the code to perform a basic match query in Elasticsearch.

Elasticsearch

{
  "query": {
    "match": {
      "message": "[1]"
    }
  }
}

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

Aerror

Bsearch

Cstatus

Duser

Attempts:

3 left

💡 Hint

Common Mistakes

Using a field name instead of a search term.

Putting the query keyword in the wrong place.

The match query searches for the term error in the message field.

2fill in blank

medium

Complete the code to filter documents where the status is 'active'.

Elasticsearch

{
  "query": {
    "bool": {
      "filter": {
        "term": {
          "status": "[1]"
        }
      }
    }
  }
}

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

Adeleted

Binactive

Cactive

Dpending

Attempts:

3 left

💡 Hint

Common Mistakes

Using a value that does not exist in the data.

Confusing filter with query clauses.

The term filter matches documents where the status field is exactly active.

3fill in blank

hard

Fix the error in the aggregation to count documents by user.

Elasticsearch

{
  "aggs": {
    "users_count": {
      "terms": {
        "field": "[1]"
      }
    }
  }
}

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

Auser.text

Buser.keyword

Cusername

Duser

Attempts:

3 left

💡 Hint

Common Mistakes

Using the analyzed text field which cannot be aggregated.

Using a field name that does not exist.

Aggregations on text fields require the keyword subfield for exact terms. user.keyword is correct.

4fill in blank

hard

Fill both blanks to create a range query filtering documents with age between 20 and 30.

Elasticsearch

{
  "query": {
    "range": {
      "age": {
        "gte": [1],
        "lte": [2]
      }
    }
  }
}

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

A20

B30

C25

D35

Attempts:

3 left

💡 Hint

Common Mistakes

Swapping the lower and upper bounds.

Using values outside the desired range.

The range query filters documents where age is greater than or equal to 20 and less than or equal to 30.

5fill in blank

hard

Fill the two blanks to create a script that calculates a new field 'total' as price times quantity if quantity is greater than 0.

Elasticsearch

{
  "script_fields": {
    "total": {
      "script": {
        "source": "if (doc['quantity'].value [1] 0) { return doc['price'].value [2] doc['quantity'].value; } else { return 0; }"
      }
    }
  }
}

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

A==

B>

C*

D+

Attempts:

3 left

💡 Hint

Common Mistakes

Using '==' instead of '>' for the condition.

Using '+' instead of '*' for multiplication.

The script checks if quantity is greater than 0, then multiplies price by quantity. The operator * is used for multiplication.