First search query in Elasticsearch - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to perform a basic match_all search query in Elasticsearch.

Elasticsearch

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

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

Amatch_all

Bterm

Crange

Dmatch

Attempts:

3 left

💡 Hint

Common Mistakes

Using match without specifying a field causes errors.

Using term or range queries when you want all documents.

The match_all query returns all documents in the index. It is the simplest search query in Elasticsearch.

2fill in blank

medium

Complete the code to search for documents where the field 'title' matches 'Elasticsearch'.

Elasticsearch

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

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

Atitle

Bauthor

Cdate

Dcontent

Attempts:

3 left

💡 Hint

Common Mistakes

Using a wrong field name like content or author.

Leaving the field name blank.

The match query searches for the given text in the specified field. Here, we want to search in the title field.

3fill in blank

hard

Fix the error in the query to correctly search for documents with 'status' equal to 'active'.

Elasticsearch

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

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

Aactive

B"active"

C{ "value": "active" }

D["active"]

Attempts:

3 left

💡 Hint

Common Mistakes

Not putting the value in quotes.

Using an array or object instead of a string.

The term query requires the value to be a string enclosed in quotes. So, "active" is correct.

4fill in blank

hard

Fill both blanks to create a range query that finds documents with 'age' greater than or equal to 30.

Elasticsearch

{
  "query": {
    "range": {
      "[1]": {
        "[2]": 30
      }
    }
  }
}

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

Aage

Bgte

Cgt

Dlte

Attempts:

3 left

💡 Hint

Common Mistakes

Using gt instead of gte when equality is needed.

Using wrong field names.

The range query uses the field name and the operator. Here, age is the field and gte means 'greater than or equal to'.

5fill in blank

hard

Fill all three blanks to create a bool query that must match 'python' in 'tags' and filter documents with 'published' date after '2020-01-01'.

Elasticsearch

{
  "query": {
    "bool": {
      "must": {
        "match": {
          "[1]": "python"
        }
      },
      "filter": {
        "range": {
          "[2]": {
            "[3]": "2020-01-01"
          }
        }
      }
    }
  }
}

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

Atags

Bpublished

Cgt

Dgte

Attempts:

3 left

💡 Hint

Common Mistakes

Using gte instead of gt if strictly after date is needed.

Mixing up field names.

The must clause matches the term 'python' in the tags field. The filter clause uses a range query on the published field with gt (greater than) to find dates after '2020-01-01'.

Practice

1.

What does a match query do in an Elasticsearch search?

easy

A. It finds documents where the specified field contains the search text.

B. It deletes documents matching the search text.

C. It updates documents with the search text.

D. It creates a new index with the search text.

Solution

1. Step 1: Understand the purpose of match query

   The match query is used to find documents where a field contains the given text.

2. Step 2: Differentiate from other operations

   Deleting, updating, or creating indexes are different Elasticsearch operations, not done by match.

3. Final Answer:

   It finds documents where the specified field contains the search text. -> Option A

4. Quick Check:

   match query = find documents [OK]

Hint: Match query searches text in fields, not modify data [OK]

Common Mistakes:

• Confusing search with delete or update operations
• Thinking match creates or modifies indexes
• Assuming match returns all documents regardless of content

2.

Which of the following is the correct syntax for a basic Elasticsearch match query to search for "apple" in the field "fruit"?

{
  "query": {
    "match": {
      "fruit": "apple"
    }
  }
}

easy

A. { "query": { "match": { "fruit": "apple" } } }

B. { "match": { "query": { "fruit": "apple" } } }

C. { "query": { "fruit": { "match": "apple" } } }

D. { "query": { "match": { "apple": "fruit" } } }

Solution

1. Step 1: Identify the correct JSON structure for a match query

   The correct structure places match inside query, with the field name as key and search text as value.

2. Step 2: Compare options to this structure

   { "query": { "match": { "fruit": "apple" } } } matches the correct syntax exactly. Others misplace keys or swap field and text.

3. Final Answer:

   { "query": { "match": { "fruit": "apple" } } } -> Option A

4. Quick Check:

   Correct JSON structure = { "query": { "match": { "fruit": "apple" } } } [OK]

Hint: Match query is inside query, field name as key, text as value [OK]

Common Mistakes:

• Swapping field name and search text
• Placing match outside query
• Using wrong nesting of JSON keys

3.

Given this Elasticsearch query, what will it search for?

{
  "query": {
    "match": {
      "title": "quick brown fox"
    }
  }
}

medium

A. Documents where the title field contains the exact phrase "quick brown fox".

B. Documents where the title field contains only the word "fox".

C. Documents where the title field is empty.

D. Documents where the title field contains any of the words "quick", "brown", or "fox".

Solution

1. Step 1: Understand how match query works with multiple words

   The match query analyzes the text and searches for documents containing any of the words, not necessarily the exact phrase.

2. Step 2: Compare options with this behavior

   Documents where the title field contains any of the words "quick", "brown", or "fox". correctly states it searches for any of the words. Documents where the title field contains the exact phrase "quick brown fox". is phrase match, which requires a different query type.

3. Final Answer:

   Documents where the title field contains any of the words "quick", "brown", or "fox". -> Option D

4. Quick Check:

   match = any word match [OK]

Hint: Match finds any word in text, not exact phrase [OK]

Common Mistakes:

• Thinking match does exact phrase search
• Assuming match finds only one word
• Confusing match with match_phrase query

4.

Identify the error in this Elasticsearch query:

{
  "query": {
    "match": {
      "content": apple
    }
  }
}

medium

A. The match query should be outside the query object.

B. The field name content should be in quotes.

C. The search text apple should be in quotes.

D. The query object is missing a closing brace.

Solution

1. Step 1: Check JSON syntax for values

   In JSON, string values must be enclosed in double quotes. Here, apple is unquoted.

2. Step 2: Verify other parts of the query

   The field name and braces are correctly quoted and closed. The match query is correctly inside query.

3. Final Answer:

   The search text apple should be in quotes. -> Option C

4. Quick Check:

   Strings need quotes in JSON [OK]

Hint: Always quote string values in JSON queries [OK]

Common Mistakes:

• Leaving string values unquoted
• Misplacing match outside query
• Forgetting closing braces

5.

You want to find documents where the field "description" contains the word "fresh" but only if the field "category" equals "fruit". Which Elasticsearch query correctly combines these conditions?

hard

A. { "query": { "match": { "description": "fresh" }, "match": { "category": "fruit" } } }

B. { "query": { "bool": { "must": [ { "match": { "description": "fresh" } }, { "match": { "category": "fruit" } } ] } } }

C. { "query": { "term": { "description": "fresh" }, "term": { "category": "fruit" } } }

D. { "query": { "match": { "description": "fresh fruit" } } }

Solution

1. Step 1: Understand combining multiple conditions in Elasticsearch

   To require both conditions, use a bool query with must array containing each match query.

2. Step 2: Evaluate each option's structure

   { "query": { "bool": { "must": [ { "match": { "description": "fresh" } }, { "match": { "category": "fruit" } } ] } } } correctly uses bool with must for both matches. { "query": { "match": { "description": "fresh fruit" } } } searches combined text in one field. Options A and C have invalid JSON or incorrect query structure.

3. Final Answer:

   { "query": { "bool": { "must": [ { "match": { "description": "fresh" } }, { "match": { "category": "fruit" } } ] } } } -> Option B

4. Quick Check:

   Use bool must to combine queries [OK]

Hint: Use bool must array to combine multiple match queries [OK]

Common Mistakes:

• Combining terms incorrectly in one match
• Using invalid JSON with repeated keys
• Not using bool query for multiple conditions