Text indexes for search in MongoDB - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a text index on the 'description' field.

MongoDB

db.products.createIndex({ description: [1] })

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

A1

B-1

C"index"

D"text"

Attempts:

3 left

💡 Hint

Common Mistakes

Using 1 or -1 creates a normal ascending or descending index, not a text index.

Using "index" is not a valid index type.

To create a text index in MongoDB, you specify the field with the value "text".

2fill in blank

medium

Complete the code to search for documents containing the word 'coffee' using the text index.

MongoDB

db.products.find({ $[1]: { $search: "coffee" } })

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

Amatch

Btext

Csearch

Dquery

Attempts:

3 left

💡 Hint

Common Mistakes

Using $match or $search instead of $text causes errors.

Using $query is not valid for text search.

The $text operator is used to perform text search queries in MongoDB.

3fill in blank

hard

Fix the error in the code to create a text index on both 'title' and 'content' fields.

MongoDB

db.articles.createIndex({ title: [1], content: [1] })

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

A-1

B1

C"text"

D"index"

Attempts:

3 left

💡 Hint

Common Mistakes

Using 1 or -1 for text indexes is incorrect.

Using different types for each field causes errors.

Both fields must be set to "text" to create a compound text index.

4fill in blank

hard

Fill both blanks to perform a text search for 'mongodb' and sort results by text score.

MongoDB

db.blog.find({ $[1]: { $search: "mongodb" } }, { score: { $meta: [2] } }).sort({ score: { $meta: "textScore" } })

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

Atext

BtextScore

Cscore

DsearchScore

Attempts:

3 left

💡 Hint

Common Mistakes

Using $search instead of $text causes errors.

Using incorrect meta values like "score" or "searchScore" fails.

Use $text for the search operator and $meta: "textScore" to get the relevance score.

5fill in blank

hard

Fill all three blanks to create a text index on 'summary', search for 'database', and project the text score.

MongoDB

db.reviews.createIndex({ [1]: [2] });
db.reviews.find({ $[3]: { $search: "database" } }, { score: { $meta: "textScore" } })

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

Asummary

B"text"

Ctext

Dcontent

Attempts:

3 left

💡 Hint

Common Mistakes

Using wrong field names or index types.

Using $search instead of $text for the query.

Create the index on 'summary' with type "text", then use $text to search.