Range buckets in Elasticsearch - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to define a range bucket aggregation named "price_ranges".

Elasticsearch

{
  "aggs": {
    "price_ranges": {
      "range": {
        "field": "price",
        "ranges": [
          { "to": 100 },
          { "from": 100, "to": 200 },
          { "from": 200 }
        ]
      }
    }
  },
  "size": [1]
}

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

A0

B10

C100

D1

Attempts:

3 left

💡 Hint

Common Mistakes

Setting "size" to a positive number returns documents, not just aggregation results.

Omitting "size" returns default 10 documents, which is unnecessary here.

Setting "size" to 0 tells Elasticsearch not to return any hits, only aggregation results.

2fill in blank

medium

Complete the code to add a sub-aggregation "avg_price" that calculates the average price within each range bucket.

Elasticsearch

{
  "aggs": {
    "price_ranges": {
      "range": {
        "field": "price",
        "ranges": [
          { "to": 100 },
          { "from": 100, "to": 200 },
          { "from": 200 }
        ]
      },
      "aggs": {
        "avg_price": {
          "[1]": {
            "field": "price"
          }
        }
      }
    }
  },
  "size": 0
}

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

Asum

Bavg

Cmax

Dmin

Attempts:

3 left

💡 Hint

Common Mistakes

Using "sum" instead of "avg" returns total sum, not average.

Using "max" or "min" returns maximum or minimum values, not average.

The "avg" aggregation calculates the average value of a numeric field.

3fill in blank

hard

Fix the error in the range bucket definition by completing the missing key.

Elasticsearch

{
  "aggs": {
    "age_ranges": {
      "range": {
        "[1]": "age",
        "ranges": [
          { "to": 20 },
          { "from": 20, "to": 40 },
          { "from": 40 }
        ]
      }
    }
  },
  "size": 0
}

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

Avalue

Branges

Cfield

Dkey

Attempts:

3 left

💡 Hint

Common Mistakes

Using "ranges" as a key for the field causes an error.

Using "key" or "value" are not valid keys for this purpose.

The key "field" specifies which field to use for the range aggregation.

4fill in blank

hard

Fill both blanks to create a range bucket aggregation on "weight" with two buckets: less than 50 and 50 or more.

Elasticsearch

{
  "aggs": {
    "weight_ranges": {
      "range": {
        "[1]": "weight",
        "[2]": [
          { "to": 50 },
          { "from": 50 }
        ]
      }
    }
  },
  "size": 0
}

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

Afield

Branges

Cbuckets

Dvalues

Attempts:

3 left

💡 Hint

Common Mistakes

Using "buckets" or "values" instead of "ranges" causes errors.

Swapping the keys "field" and "ranges" is invalid.

"field" specifies the field to aggregate on, and "ranges" defines the bucket boundaries.

5fill in blank

hard

Fill all three blanks to create a range bucket aggregation on "temperature" with buckets for below 0, 0 to 30, and above 30, and add a sub-aggregation "max_temp" to find the maximum temperature in each bucket.

Elasticsearch

{
  "aggs": {
    "temp_ranges": {
      "range": {
        "[1]": "temperature",
        "[2]": [
          { "to": 0 },
          { "from": 0, "to": 30 },
          { "from": 30 }
        ]
      },
      "aggs": {
        "max_temp": {
          "[3]": {
            "field": "temperature"
          }
        }
      }
    }
  },
  "size": 0
}

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

Afield

Branges

Cmax

Davg

Attempts:

3 left

💡 Hint

Common Mistakes

Using "avg" instead of "max" for the sub-aggregation.

Swapping "field" and "ranges" keys.

Omitting the sub-aggregation key.

"field" specifies the field for the range aggregation, "ranges" defines the buckets, and "max" finds the maximum value in each bucket.