Match phrase query in Elasticsearch - Practice Problems & Coding Challenges

Challenge - 5 Problems

❓ Predict Output

intermediate

Match phrase query exact phrase search

What is the output of this Elasticsearch match_phrase query when searching for the phrase "quick brown fox" in the content field?

Elasticsearch

{
  "query": {
    "match_phrase": {
      "content": "quick brown fox"
    }
  }
}

A Returns documents where the phrase "brown fox quick" appears exactly in the content field.

B Returns documents where any of the words "quick", "brown", or "fox" appear anywhere in the content field.

C Returns documents where the words "quick" and "fox" appear, but not necessarily together or in order.

D Returns documents where the exact phrase "quick brown fox" appears in the content field.

💡 Hint

Match phrase queries look for the exact sequence of words in the given order.

The match_phrase query searches for the exact phrase as a sequence of words in the specified field. It does not match individual words separately or out of order.

🧠 Conceptual

intermediate

Understanding slop in match_phrase query

In an Elasticsearch match_phrase query, what does the slop parameter control?

A The maximum number of positions the words in the phrase can be apart and still match.

B The minimum number of words that must appear in the phrase to match.

C The maximum number of characters allowed between words in the phrase.

D The number of times the phrase must appear in the document to match.

💡 Hint

Think about how flexible the phrase matching is regarding word order and distance.

The slop parameter allows words in the phrase to be separated by a certain number of other words or to appear out of order within that distance, enabling fuzzy phrase matching.

🔧 Debug

advanced

Why does this match_phrase query return no results?

Given this query searching for the phrase "fast fox" in the description field, why might it return no results even though documents contain the words "fast" and "fox"?

Elasticsearch

{
  "query": {
    "match_phrase": {
      "description": "fast fox"
    }
  }
}

A Because match_phrase queries only work on keyword fields, not text fields.

B Because the words "fast" and "fox" do not appear together in that exact order in any document.

C Because the query syntax is invalid and causes a parsing error.

D Because the analyzer removed the word "fast" during indexing.

💡 Hint

Match phrase requires the exact sequence of words.

Match phrase queries require the exact phrase to appear in the specified order. If the words appear separately or in a different order, no match is found.

📝 Syntax

advanced

Identify the syntax error in this match_phrase query

Which option contains the correct syntax for a match_phrase query searching for "data science" in the summary field?

A { "query": { "match_phrase": { "summary": "data science" } } }

B { "query": { "match_phrase": { "summary": ["data", "science"] } } }

C { "query": { "match_phrase": { "summary": { "query": "data science" } } } }

D { "query": { "match_phrase": { "summary": { "phrase": "data science" } } } }

💡 Hint

Check the correct structure for match_phrase with a query string.

A correct syntax for match_phrase is the field name mapped to an object with a "query" key holding the phrase string.

🚀 Application

expert

Using slop to find near matches with match_phrase

You want to find documents where the phrase "machine learning" appears but allow up to 2 words between "machine" and "learning". Which query achieves this?

A { "query": { "match_phrase": { "text": { "query": "machine learning", "slop": 2 } } } }

B { "query": { "match": { "text": { "query": "machine learning", "slop": 2 } } } }

C { "query": { "match_phrase": { "text": { "query": "machine learning" } }, "slop": 2 } }

D { "query": { "match_phrase": { "text": "machine learning", "slop": 2 } } }

💡 Hint

Slop must be inside the match_phrase field object with the query string.

The slop parameter must be inside the object for the field in the match_phrase query, alongside the query string.

Practice

1. What does a match_phrase query in Elasticsearch do?

easy

A. Searches only for single words, ignoring phrases.

B. Searches for any of the words in the query, regardless of order.

C. Searches for an exact sequence of words in the given order.

D. Searches for documents with numeric values only.

Solution

1. Step 1: Understand the purpose of match_phrase

   The match_phrase query looks for the exact sequence of words in the order they appear in the query.

2. Step 2: Compare with other query types

   Unlike match query, which finds any word in any order, match_phrase requires the phrase to appear exactly.

3. Final Answer:

   Searches for an exact sequence of words in the given order. -> Option C

4. Quick Check:

   match_phrase = exact word order search [OK]

Hint: Remember: match_phrase means exact words in exact order [OK]

Common Mistakes:

• Confusing match_phrase with match query
• Thinking it ignores word order
• Assuming it works only for single words

2. Which of the following is the correct syntax for a match_phrase query in Elasticsearch?

easy

A. { "match": { "field": "search text" } }

B. { "match_phrase": { "field": "search text" } }

C. { "term": { "field": "search text" } }

D. { "range": { "field": { "gte": 10 } } }

Solution

1. Step 1: Identify the correct query type

   The match_phrase query uses the key "match_phrase" with the field and the phrase to search.

2. Step 2: Check the syntax format

   The correct syntax is a JSON object with "match_phrase" as the key and the field name mapping to the phrase string.

3. Final Answer:

   { "match_phrase": { "field": "search text" } } -> Option B

4. Quick Check:

   Correct JSON syntax for match_phrase = { "match_phrase": { "field": "search text" } } [OK]

Hint: Look for "match_phrase" key with field and phrase inside braces [OK]

Common Mistakes:

• Using "match" instead of "match_phrase"
• Confusing with "term" or "range" queries
• Incorrect JSON structure or missing braces

3. Given this Elasticsearch query:

{ "query": { "match_phrase": { "description": "quick brown fox" } } }

Which documents will match?

medium

A. Documents containing the words "fox brown quick" in any order.

B. Documents containing any of the words "quick", "brown", or "fox" in any order.

C. Documents containing the phrase "quick fox brown" exactly.

D. Documents containing the phrase "quick brown fox" exactly in that order.

Solution

1. Step 1: Analyze the match_phrase query

   The query searches for the exact phrase "quick brown fox" in the field "description".

2. Step 2: Understand phrase matching behavior

   Only documents with the words in the exact order "quick brown fox" will match, not any other order or partial words.

3. Final Answer:

   Documents containing the phrase "quick brown fox" exactly in that order. -> Option D

4. Quick Check:

   Exact phrase match = Documents containing the phrase "quick brown fox" exactly in that order. [OK]

Hint: match_phrase requires exact word order in the phrase [OK]

Common Mistakes:

• Assuming word order does not matter
• Thinking partial word matches count
• Confusing with match query behavior

4. You wrote this query but it returns no results:

{ "query": { "match_phrase": { "title": "fast runner" } } }

Your documents contain the phrase "runner fast". What is the issue?

medium

A. The phrase order is incorrect; match_phrase requires exact order.

B. The field name "title" is invalid.

C. match_phrase does not support multi-word phrases.

D. The query syntax is wrong; it should use "match" instead.

Solution

1. Step 1: Check phrase order in query vs documents

   The query searches for "fast runner" but documents have "runner fast" which is reversed.

2. Step 2: Understand match_phrase behavior

   match_phrase requires the exact word order, so reversed order causes no matches.

3. Final Answer:

   The phrase order is incorrect; match_phrase requires exact order. -> Option A

4. Quick Check:

   Exact order matters in match_phrase = The phrase order is incorrect; match_phrase requires exact order. [OK]

Hint: Check word order carefully when match_phrase returns no hits [OK]

Common Mistakes:

• Ignoring word order importance
• Assuming match_phrase works like match
• Changing field name unnecessarily

5. You want to find documents containing the phrase "data science" but also allow a gap of one word between "data" and "science". Which match_phrase query option should you use?

hard

A. { "match_phrase": { "field": "data science", "slop": 1 } }

B. { "match_phrase": { "field": "data science", "boost": 1 } }

C. { "match": { "field": "data science", "slop": 1 } }

D. { "term": { "field": "data science" } }

Solution

1. Step 1: Understand phrase slop in match_phrase

   The "slop" parameter allows words to appear with gaps or reordered within a limit.

2. Step 2: Identify correct syntax for slop

   Using "slop": 1 inside the match_phrase query allows one word gap between "data" and "science".

3. Final Answer:

   { "match_phrase": { "field": "data science", "slop": 1 } } -> Option A

4. Quick Check:

   Use slop to allow gaps in match_phrase = { "match_phrase": { "field": "data science", "slop": 1 } } [OK]

Hint: Add "slop" to match_phrase to allow word gaps [OK]

Common Mistakes:

• Using slop with match instead of match_phrase
• Confusing boost with slop
• Using term query for phrase matching