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Elasticsearchquery~20 mins

Range buckets in Elasticsearch - Practice Problems & Coding Challenges

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Challenge - 5 Problems
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❓ Predict Output
intermediate
2:00remaining
Output of a simple range bucket aggregation
What is the output of this Elasticsearch aggregation query on the field price with the given buckets?
Elasticsearch
{
  "aggs": {
    "price_ranges": {
      "range": {
        "field": "price",
        "ranges": [
          { "to": 50 },
          { "from": 50, "to": 100 },
          { "from": 100 }
        ]
      }
    }
  }
}
A{"aggregations":{"price_ranges":{"buckets":[{"key":"*-50.0","to":50.0,"doc_count":5},{"key":"50.0-100.0","from":50.0,"to":100.0,"doc_count":3},{"key":"100.0-*","from":100.0,"doc_count":2}]}}}
B{"aggregations":{"price_ranges":{"buckets":[{"key":"*-50.0","to":50.0,"doc_count":3},{"key":"50.0-100.0","from":50.0,"to":100.0,"doc_count":5},{"key":"100.0-*","from":100.0,"doc_count":2}]}}}
C{"aggregations":{"price_ranges":{"buckets":[{"key":"*-50.0","to":50.0,"doc_count":2},{"key":"50.0-100.0","from":50.0,"to":100.0,"doc_count":3},{"key":"100.0-*","from":100.0,"doc_count":5}]}}}
D{"aggregations":{"price_ranges":{"buckets":[{"key":"*-50.0","to":50.0,"doc_count":4},{"key":"50.0-100.0","from":50.0,"to":100.0,"doc_count":4},{"key":"100.0-*","from":100.0,"doc_count":2}]}}}
Attempts:
2 left
💡 Hint
Look carefully at how documents are counted in each price range bucket.
🧠 Conceptual
intermediate
1:30remaining
Understanding range bucket keys
In Elasticsearch range bucket aggregations, what does the bucket key "* - 100.0" represent?
AAll documents with values less than 100
BAll documents with values between 0 and 100
CAll documents with values exactly equal to 100
DAll documents with values greater than 100
Attempts:
2 left
💡 Hint
The asterisk (*) means unbounded on one side.
🔧 Debug
advanced
2:00remaining
Identify the error in this range bucket aggregation
This aggregation query is intended to create two buckets: prices less than 20 and prices between 20 and 50. What error will Elasticsearch return?
Elasticsearch
{
  "aggs": {
    "price_ranges": {
      "range": {
        "field": "price",
        "ranges": [
          { "to": 20 },
          { "from": 20, "to": 50 },
          { "from": 50, "to": 10 }
        ]
      }
    }
  }
}
AElasticsearch returns a syntax error due to missing commas
BElasticsearch returns a validation error because the last range has from > to
CElasticsearch returns no error and processes all buckets correctly
DElasticsearch returns an error because the field "price" does not exist
Attempts:
2 left
💡 Hint
Check the order of from and to values in each range.
📝 Syntax
advanced
1:30remaining
Which option correctly defines a range bucket aggregation with open-ended ranges?
Select the correct JSON snippet for an Elasticsearch range aggregation with these buckets: less than 30, 30 to 70, and greater than 70.
A{ "range": { "field": "age", "ranges": [ { "to": 30 }, { "from": 30, "to": 70 }, { "to": 70, "from": 70 } ] } }
B{ "range": { "field": "age", "ranges": [ { "from": 0, "to": 30 }, { "from": 30, "to": 70 }, { "to": 70 } ] } }
C{ "range": { "field": "age", "ranges": [ { "to": 30 }, { "from": 30, "to": 70 }, { "from": 70 } ] } }
D{ "range": { "field": "age", "ranges": [ { "to": 30 }, { "from": 30, "to": 70 }, { "from": 70, "to": 100 } ] } }
Attempts:
2 left
💡 Hint
Open-ended ranges omit either from or to.
🚀 Application
expert
3:00remaining
Calculate total documents in overlapping range buckets
Given this range aggregation with overlapping buckets, what is the total number of documents counted across all buckets if the index has 10 documents with these price values: [10, 25, 40, 55, 60, 75, 80, 90, 110, 130]? Aggregation: { "aggs": { "price_ranges": { "range": { "field": "price", "ranges": [ { "to": 50 }, { "from": 30, "to": 70 }, { "from": 60 } ] } } } }
A15
B10
C13
D12
Attempts:
2 left
💡 Hint
Count how many documents fall into each bucket, then sum all counts.

Practice

(1/5)
1.

What is the main purpose of range buckets in Elasticsearch aggregations?

easy
A. To update documents in the index
B. To sort documents alphabetically
C. To filter documents by exact match
D. To group documents into specified numeric or date ranges

Solution

  1. Step 1: Understand range buckets concept

    Range buckets group documents based on numeric or date values falling within specified ranges.
  2. Step 2: Compare options

    Only To group documents into specified numeric or date ranges describes grouping by ranges. Others describe unrelated operations.
  3. Final Answer:

    To group documents into specified numeric or date ranges -> Option D
  4. Quick Check:

    Range buckets = grouping by ranges [OK]
Hint: Range buckets group data by intervals, not sorting or filtering [OK]
Common Mistakes:
  • Confusing range buckets with sorting
  • Thinking range buckets filter exact matches
  • Assuming range buckets update documents
2.

Which of the following is the correct syntax snippet to define a range bucket in Elasticsearch?

{ "range": { "field": "price", "ranges": [ { "from": 0, "to": 50 }, { "from": 50, "to": 100 } ] }}
easy
A. { "range": { "field": "price", "ranges": [ { "from": 0, "to": 50 } ] }}
B. { "range": { "field": "price", "buckets": [ { "from": 0, "to": 50 } ] }}
C. { "range": { "field": "price", "ranges": [ { "start": 0, "end": 50 } ] }}
D. { "range": { "field": "price", "intervals": [ { "from": 0, "to": 50 } ] }}

Solution

  1. Step 1: Check correct keys for range buckets

    Elasticsearch uses "ranges" array with objects having "from" and "to" keys.
  2. Step 2: Compare options

    Only { "range": { "field": "price", "ranges": [ { "from": 0, "to": 50 } ] }} uses "ranges" with "from" and "to" correctly. Others use incorrect keys like "start", "buckets", or "intervals".
  3. Final Answer:

    { "range": { "field": "price", "ranges": [ { "from": 0, "to": 50 } ] }} -> Option A
  4. Quick Check:

    Use "ranges" with "from" and "to" keys [OK]
Hint: Use "ranges" array with "from" and "to" keys for range buckets [OK]
Common Mistakes:
  • Using "start" and "end" instead of "from" and "to"
  • Using wrong key names like "buckets" or "intervals"
  • Placing ranges outside the "range" object
3.

Given this aggregation query snippet, what will be the count of documents in the bucket with from: 10 and to: 20?

{
  "aggs": {
    "price_ranges": {
      "range": {
        "field": "price",
        "ranges": [
          { "to": 10 },
          { "from": 10, "to": 20 },
          { "from": 20 }
        ]
      }
    }
  }
}

Assume documents have prices: [5, 7, 10, 15, 18, 20, 25]

medium
A. 3
B. 2
C. 4
D. 1

Solution

  1. Step 1: Identify which prices fall into the 10 to 20 range

    Prices are [5,7,10,15,18,20,25]. The bucket is from 10 (inclusive) to 20 (exclusive). So prices 10, 15, 18 count. Price 20 is excluded.
  2. Step 2: Count matching documents

    Matching prices: 10, 15, 18 -> 3 documents.
  3. Final Answer:

    3 -> Option A
  4. Quick Check:

    Prices ≥10 and <20 count = 3 [OK]
Hint: Ranges include from (inclusive), exclude to (exclusive) by default [OK]
Common Mistakes:
  • Counting price 20 in the 10-20 bucket
  • Confusing inclusive/exclusive range ends
  • Counting prices below 10 in this bucket
4.

Identify the error in this range bucket aggregation query:

{
  "aggs": {
    "age_ranges": {
      "range": {
        "field": "age",
        "ranges": [
          { "from": 0, "to": 19 },
          { "from": 18, "to": 30 },
          { "from": 30, "to": 50 }
        ]
      }
    }
  }
}

Why might the bucket counts be incorrect?

medium
A. Missing "key" field for each range
B. Ranges overlap at 18, causing double counting
C. The "field" name is invalid
D. Ranges must use "start" and "end" instead of "from" and "to"

Solution

  1. Step 1: Check range boundaries for overlap

    Ranges are 0-19, 18-30, 30-50. The value 18 is included in both first (>=0 <19) and second (>=18 <30) ranges because "from" is inclusive and "to" is exclusive.
  2. Step 2: Understand impact on counts

    Documents with age=18 will contribute to both buckets since Elasticsearch range aggregations place documents into all matching buckets, causing inflated counts (double counting).
  3. Final Answer:

    Ranges overlap at 18, causing double counting -> Option B
  4. Quick Check:

    Overlapping ranges cause docs to count in multiple buckets [OK]
Hint: Check if range edges overlap causing double counts [OK]
Common Mistakes:
  • Assuming "to" is inclusive causing overlap
  • Not verifying field name correctness
  • Thinking "key" is mandatory for ranges
5.

You want to create a range bucket aggregation on a date field called created_at to group documents into these ranges:

  • Before 2023-01-01
  • From 2023-01-01 to 2023-06-30
  • After 2023-06-30

Which of the following is the correct aggregation snippet?

hard
A. { "range": { "field": "created_at", "ranges": [ { "to": "2023-01-01" }, { "from": "2023-01-01", "to": "2023-06-30" }, { "to": "2023-06-30" } ] } }
B. { "range": { "field": "created_at", "ranges": [ { "from": "2023-01-01" }, { "to": "2023-06-30" }, { "from": "2023-06-30" } ] } }
C. { "range": { "field": "created_at", "ranges": [ { "to": "2023-01-01" }, { "from": "2023-01-01", "to": "2023-06-30" }, { "from": "2023-06-30" } ] } }
D. { "range": { "field": "created_at", "ranges": [ { "from": "2023-01-01" }, { "from": "2023-06-30" }, { "to": "2023-06-30" } ] } }

Solution

  1. Step 1: Match ranges to requirements

    We want: before 2023-01-01 (use "to"), from 2023-01-01 to 2023-06-30 (use "from" and "to"), after 2023-06-30 (use "from").
  2. Step 2: Check options for correct keys and values

    { "range": { "field": "created_at", "ranges": [ { "to": "2023-01-01" }, { "from": "2023-01-01", "to": "2023-06-30" }, { "from": "2023-06-30" } ] } } correctly uses "to" for before date, "from" and "to" for middle range, and "from" for after date. Others misuse keys or omit ranges.
  3. Final Answer:

    { "range": { "field": "created_at", "ranges": [ { "to": "2023-01-01" }, { "from": "2023-01-01", "to": "2023-06-30" }, { "from": "2023-06-30" } ] } } -> Option C
  4. Quick Check:

    Use "to" for before, "from" and "to" for between, "from" for after [OK]
Hint: Use "to" for before date, "from" for after date ranges [OK]
Common Mistakes:
  • Using "from" without "to" for before range
  • Using "to" without "from" for after range
  • Mixing up date boundaries causing missing data
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