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Model Data for Schema Versioning

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  • Overview
  • Schema Versioning Pattern
  • Example
  • Use Cases

Database schemas occasionally need to be updated. For example, a schema designed to hold user contact information may need to be updated to include new methods of communication as they become popular, such as Twitter or Skype.

You can use MongoDB's flexible schema model, which supports differently shaped documents in the same collection, to gradually update your collection's schema. As you update your schema model, the Schema Versioning pattern allows you to track these updates with version numbers. Your application code can use version numbers to identify and handle differently shaped documents without downtime.

To implement the Schema Versioning pattern, add a schema_version (or similarly named) field to your schema the first time that you modify your schema. Documents that use the new schema should have a schema_version of 2 to indicate that they adhere to the second iteration of your schema. If you update your schema again, increment the schema_version.

Your application code can use a document's schema_version, or lack thereof, to conditionally handle documents. Use the latest schema to store new information in the database.

The following example iterates upon the schema for documents in the users collection.

In the first iteration of this schema, a record includes galactic_id, name, and phone fields:

// users collection
"_id": "<ObjectId>",
"galactic_id": 123,
"name": "Anakin Skywalker",
"phone": "503-555-0000",

In the next iteration, the schema is updated to include more information in a different shape:

// users collection
"_id": "<ObjectId>",
"galactic_id": 123,
"name": "Darth Vader",
"contact_method": {
"work": "503-555-0210",
"home": "503-555-0220",
"twitter": "@realdarthvader",
"skype": "AlwaysWithYou"
"schema_version": "2"

Adding a schema_version means that an application can identify documents shaped for the new schema and handle them accordingly. The application can still handle old documents if schema_version does not exist on the document.

For example, consider an application that finds a user's phone number(s) by galactic_id. Upon being given a galactic_id, the application needs to query the database:

db.users.find( { galactic_id: 123 } );

After the document is returned from the database, the application checks to see whether the document has a schema_version field.

  • If it does not have a schema_version field, the application passes the returned document to a dedicated function that renders the phone field from the original schema.

  • If it does have a schema_version field, the application checks the schema version. In this example, the schema_version is 2 and the application passes the returned document to a dedicated function that renders the new and contact_method.home fields.

Using the schema_version field, application code can support any number of schema iterations in the same collection by adding dedicated handler functions to the code.

The Schema Versioning pattern is ideal for any one or a combination of the following cases:

  • Application downtime is not an option

  • Updating documents may take hours, days, or weeks of time to complete

  • Updating documents to the new schema version is not a requirement

The Schema Versioning pattern helps you better decide when and how data migrations will take place relative to traditional, tabular databases.

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