In some situations, you may need to bypass a collection's schema validation rules. For example, if you are restoring potentially invalid data from a backup to a collection that has validation rules. In this scenario, older documents may not meet new validation requirements.
Context
Bypassing schema validation is done on a per-operation basis. If you bypass schema validation to insert an invalid document, any future updates to the invalid document must either:
- Also bypass schema validation
- Result in a valid document
Supported Operations
You can use the following commands and methods to bypass validation on a per-operation basis:
applyOps
commandfindAndModify
command anddb.collection.findAndModify()
methodmapReduce
command anddb.collection.mapReduce()
methodinsert
commandupdate
command$out
and$merge
stages for theaggregate
command anddb.collection.aggregate()
method
Prerequisite
For deployments that have enabled access control, to bypass document
validation, the authenticated user must have
bypassDocumentValidation
action. The built-in roles
dbAdmin
and restore
provide this action.
Steps
The following example creates a collection with schema validation, and then inserts an invalid document by bypassing the validation rules.
Create a collection with validation rules
Create a students
collection and use the $jsonSchema
operator to set schema validation rules:
db.createCollection("students", {
validator: {
$jsonSchema: {
bsonType: "object",
required: [ "name", "year", "major", "address" ],
properties: {
name: {
bsonType: "string",
description: "must be a string and is required"
},
year: {
bsonType: "int",
minimum: 2017,
maximum: 3017,
description: "must be an integer in [ 2017, 3017 ] and is required"
}
}
}
}
} )
Bypass the validation to insert an invalid document
The following document is invalid because the year
field is outside of the allowed bounds (2017
-3017
):
{
name: "Alice",
year: Int32( 2016 ),
major: "History",
gpa: Double(3.0),
address: {
city: "NYC",
street: "33rd Street"
}
}To bypass the validation rules and insert the invalid document,
run the following insert
command, which sets the
bypassDocumentValidation
option to true
:
db.runCommand( {
insert: "students",
documents: [
{
name: "Alice",
year: Int32( 2016 ),
major: "History",
gpa: Double(3.0),
address: {
city: "NYC",
street: "33rd Street"
}
}
],
bypassDocumentValidation: true
} )
Results
To confirm that the document was successfully inserted, query the
students
collection:
db.students.find()
MongoDB returns the inserted document: