Avoid Unbounded Arrays

Overview

One of the benefits of MongoDB's rich schema model is the ability to store arrays as document field values. Storing arrays as field values allows you to model one-to-many or many-to-many relationships in a single document, instead of across separate collections as you might in a relational database.

However, you should exercise caution if you are consistently adding elements to arrays in your documents. If you do not limit the number of elements in an array, your documents may grow to an unpredictable size. As an array continues to grow, reading and building indexes on that array gradually decrease in performance. A large, growing array can strain application resources and put your documents at risk of exceeding the BSON Document Size limit.

Instead, consider bounding your arrays to improve performance and keep your documents a manageable size.

Example

Consider the following schema for a publishers collection:

// publishers collection
{
  "_id": "orielly"
  "name": "O'Reilly Media",
  "founded": 1980,
  "location": "CA",
  "books": [
    {
      "_id": 123456789,
      "title": "MongoDB: The Definitive Guide",
      "author": [ "Kristina Chodorow", "Mike Dirolf" ],
      "published_date": ISODate("2010-09-24"),
      "pages": 216,
      "language": "English"
    },
    {
      "_id": 234567890,
      "title": "50 Tips and Tricks for MongoDB Developer",
      "author": "Kristina Chodorow",
      "published_date": ISODate("2011-05-06"),
      "pages": 68,
      "language": "English"
    }
  ]
}

In this scenario, the books array is unbounded. Each new book released by this publishing company adds a new sub-document to the books array. As publishing companies continue to release books, the documents will eventually grow very large and cause a disproportionate amount of memory strain on the application.

To avoid mutable, unbounded arrays, separate the publishers collection into two collections, one for publishers and one for books. Instead of embedding the entire book document in the publishers document, include a reference to the publisher inside of the book document:

// publishers collection
{
  "_id": "oreilly"
  "name": "O'Reilly Media",
  "founded": 1980,
  "location": "CA"
}

// books collection
{
  "_id": 123456789,
  "title": "MongoDB: The Definitive Guide",
  "author": [ "Kristina Chodorow", "Mike Dirolf" ],
  "published_date": ISODate("2010-09-24"),
  "pages": 216,
  "language": "English",
  "publisher_id": "oreilly"
}
{
  "_id": 234567890,
  "title": "50 Tips and Tricks for MongoDB Developer",
  "author": "Kristina Chodorow",
  "published_date": ISODate("2011-05-06"),
  "pages": 68,
  "language": "English",
  "publisher_id": "oreilly"
}

This updated schema removes the unbounded array in the publishers collection and places a reference to the publisher in each book document using the publisher_id field. This ensures that each document has a manageable size, and there is no risk of a document field growing abnormally large.

Learn More

• To learn more about Data Modeling in MongoDB and the flexible schema model, see Data Modeling Introduction.
• To learn how to model relationships with document references, see Model One-to-Many Relationships with Document References
• To learn how to query arrays in MongoDB, see Query an Array.
• MongoDB also offers a free MongoDB University Course on Data Modeling: M320: Data Modeling.