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MongoDBquery~5 mins

createIndex method in MongoDB - Time & Space Complexity

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Time Complexity: createIndex method
O(n)
Understanding Time Complexity

When we create an index in MongoDB, the database builds a structure to help find data faster later.

We want to know how the time to build this index changes as the amount of data grows.

Scenario Under Consideration

Analyze the time complexity of the following code snippet.


db.collection.createIndex({ fieldName: 1 })
    

This code creates an ascending index on the field named "fieldName" in the collection.

Identify Repeating Operations

Identify the loops, recursion, array traversals that repeat.

  • Primary operation: Scanning all documents in the collection to read the indexed field.
  • How many times: Once for each document in the collection.
How Execution Grows With Input

Explain the growth pattern intuitively.

Input Size (n)Approx. Operations
10About 10 document reads and index entries
100About 100 document reads and index entries
1000About 1000 document reads and index entries

Pattern observation: The time grows roughly in direct proportion to the number of documents.

Final Time Complexity

Time Complexity: O(n)

This means the time to create the index grows linearly with the number of documents in the collection.

Common Mistake

[X] Wrong: "Creating an index is instant no matter how big the collection is."

[OK] Correct: The database must look at every document to build the index, so more documents mean more work and more time.

Interview Connect

Understanding how index creation time grows helps you explain database performance and design choices clearly in real projects.

Self-Check

"What if we created a compound index on two fields instead of one? How would the time complexity change?"

Practice

(1/5)
1. What is the main purpose of the createIndex method in MongoDB?
easy
A. To speed up queries by creating an index on a field
B. To delete documents from a collection
C. To update multiple documents at once
D. To create a new collection

Solution

  1. Step 1: Understand what createIndex does

    The createIndex method organizes data to make searches faster.
  2. Step 2: Identify the correct purpose

    It does not delete or update documents, nor create collections, only speeds up queries.
  3. Final Answer:

    To speed up queries by creating an index on a field -> Option A
  4. Quick Check:

    createIndex speeds up queries [OK]
Hint: Remember: createIndex speeds up searches, not data changes [OK]
Common Mistakes:
  • Confusing createIndex with delete or update operations
  • Thinking createIndex creates collections
  • Assuming createIndex modifies documents
2. Which of the following is the correct syntax to create an ascending index on the field age in MongoDB?
easy
A. db.collection.createIndex({ age: 1 })
B. db.collection.createIndex(age: 1)
C. db.collection.createIndex({ age: -1 })
D. db.collection.createIndex({ age })

Solution

  1. Step 1: Recall syntax for createIndex

    The method requires an object with field names as keys and 1 or -1 as values for ascending or descending.
  2. Step 2: Identify correct ascending index syntax

    { age: 1 } means ascending index on age. Other options are either descending (-1) or invalid syntax.
  3. Final Answer:

    db.collection.createIndex({ age: 1 }) -> Option A
  4. Quick Check:

    Ascending index uses 1 [OK]
Hint: Use 1 for ascending, -1 for descending in createIndex [OK]
Common Mistakes:
  • Using -1 for ascending index
  • Missing curly braces around field and order
  • Passing field without object braces
3. Given the command db.users.createIndex({ email: 1 }, { unique: true }), what will happen if you try to insert two documents with the same email value?
medium
A. The index will be ignored and duplicates allowed
B. Both documents will be inserted without error
C. The second insert will fail due to duplicate key error
D. MongoDB will automatically update the first document

Solution

  1. Step 1: Understand unique index effect

    Unique index prevents duplicate values in the indexed field.
  2. Step 2: Predict behavior on duplicate insert

    Inserting a duplicate email will cause an error and reject the second insert.
  3. Final Answer:

    The second insert will fail due to duplicate key error -> Option C
  4. Quick Check:

    Unique index blocks duplicates [OK]
Hint: Unique index stops duplicate values in that field [OK]
Common Mistakes:
  • Assuming duplicates are allowed with unique index
  • Thinking MongoDB auto-updates duplicates
  • Believing index is ignored on duplicates
4. What is wrong with this command? db.products.createIndex({ price: 'ascending' })
medium
A. The field name must be a string
B. The collection name is missing
C. createIndex cannot be used on numeric fields
D. The index order must be 1 or -1, not 'ascending'

Solution

  1. Step 1: Check index order values

    MongoDB requires 1 for ascending or -1 for descending, not strings like 'ascending'.
  2. Step 2: Identify error cause

    Using 'ascending' causes syntax error because it's not a valid order value.
  3. Final Answer:

    The index order must be 1 or -1, not 'ascending' -> Option D
  4. Quick Check:

    Index order must be 1 or -1 [OK]
Hint: Use 1 or -1 for index order, not words [OK]
Common Mistakes:
  • Using string values instead of 1 or -1
  • Thinking createIndex can't index numbers
  • Confusing collection name with index fields
5. You want to create a compound index on lastName (ascending) and age (descending) fields, ensuring no two documents have the same combination. Which command is correct?
hard
A. db.collection.createIndex({ lastName: -1, age: 1 }, { unique: false })
B. db.collection.createIndex({ lastName: 1, age: -1 }, { unique: true })
C. db.collection.createIndex({ lastName: 1, age: 1 }, { unique: true })
D. db.collection.createIndex({ lastName: 'asc', age: 'desc' }, { unique: true })

Solution

  1. Step 1: Understand compound index syntax

    Compound index uses an object with multiple fields and their order: 1 for ascending, -1 for descending.
  2. Step 2: Check uniqueness and order

    db.collection.createIndex({ lastName: 1, age: -1 }, { unique: true }) matches ascending lastName (1), descending age (-1), and unique true to prevent duplicates.
  3. Step 3: Verify other options

    db.collection.createIndex({ lastName: -1, age: 1 }, { unique: false }) reverses order and is not unique; C uses ascending age instead of descending; D uses invalid string values.
  4. Final Answer:

    db.collection.createIndex({ lastName: 1, age: -1 }, { unique: true }) -> Option B
  5. Quick Check:

    Compound unique index uses correct order and unique:true [OK]
Hint: Use 1/-1 for order and unique:true for no duplicates [OK]
Common Mistakes:
  • Using strings 'asc'/'desc' instead of 1/-1
  • Setting unique:false when uniqueness is needed
  • Mixing ascending and descending order incorrectly
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