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Count Documents

On this page

  • Overview
  • Sample Data
  • Retrieve an Accurate Count
  • Count All Documents
  • Count Specific Documents
  • Customize Count Behavior
  • Retrieve an Estimated Count
  • Customize Estimated Count Behavior
  • API Documentation

In this guide, you can learn how to use the Ruby driver to retrieve an accurate and estimated count of the number of documents in a collection. The following methods count documents in a collection:

  • count_documents: Returns the exact number of documents that match a query filter or that exist in a collection

  • estimated_document_count: Returns the estimated number of documents that exist in a collection

The examples in this guide use the companies collection in the sample_training database from the Atlas sample datasets. To access this collection from your Ruby application, create a Mongo::Client object that connects to an Atlas cluster and assign the following values to your database and collection variables:

database = client.use('sample_training')
collection = database['companies']

To learn how to create a free MongoDB Atlas cluster and load the sample datasets, see the Get Started with Atlas guide.

Use the count_documents method to count the number of documents in a collection. To count the number of documents that match specific search criteria, pass a query filter to the count_documents method.

To return a count of all documents in the collection, call the count_documents method without passing a query filter, as shown in the following example:

result = collection.count_documents
puts "Number of documents: #{result}"
Number of documents: 9500

To return a count of documents that match specific search criteria, pass a query filter to the count_documents method.

The following example counts the number of documents in which the value of the founded_year field is 2010:

result = collection.count_documents(founded_year: 2010)
puts "Number of companies founded in 2010: #{result}"
Number of companies founded in 2010: 33

You can modify the behavior of the count_documents method by passing a second parameter that specifies option values. The following table describes the options you can set to customize the count operation:

Option
Description

collation

The collation to use for the operation.
Type: Hash

hint

The index to use for the operation.
Type: Hash

comment

The comment to attach to the operation.
Type: Object

limit

The maximum number of documents to count. This value must be a positive integer.
Type: Integer

max_time_ms

The maximum amount of time in milliseconds that the operation can run.
Type: Integer

skip

The number of documents to skip before counting documents.
Type: Integer

read

The read preference to use for the operation. To learn more, see Read Preference in the MongoDB Server manual.
Type: Hash

The following example uses the count_documents method to count the number of documents in which the number_of_employees field has the value 50 and instructs the operation to count a maximum of 100 results:

result = collection.count_documents({ number_of_employees: 50 }, limit: 100)
puts "Number of companies with 50 employees: #{result}"
Number of companies with 50 employees: 100

Important

When you pass an options parameter to the count_documents method, you must enclose the query filter in brackets ({}).

You can retrieve an estimate of the number of documents in a collection by calling the estimated_document_count method. The method estimates the amount of documents based on collection metadata, which might be faster than performing an accurate count.

The following example estimates the number of documents in a collection:

result = collection.estimated_document_count
puts "Estimated number of documents: #{result}"
Estimated number of documents: 9500

You can modify the behavior of the estimated_document_count method by passing a parameter that specifies option values. The following table describes the options you can set to customize the operation:

Option
Description

comment

The comment to attach to the operation.
Type: Object

max_time_ms

The maximum amount of time in milliseconds that the operation can run.
Type: Integer

read

The read concern to use for the operation. To learn more, see Read Concern in the MongoDB Server manual.
Type: Hash

The following example uses the estimated_document_count method to return an estimate of the number of documents in the collection and sets a timeout of 1000 milliseconds on the operation:

result = collection.estimated_document_count(max_time_ms: 1000)
puts "Estimated number of documents: #{result}"
Estimated number of documents: 9500

To learn more about any of the methods discussed in this guide, see the following API documentation:

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Distinct Field Values