About this Task
To make encrypted fields queryable, create an encryption schema. This schema defines which fields are queryable, and which query types are permitted. For more information, see Encrypted Fields and Enabled Queries.
Important
Queryable Encryption supports equality and range queries. You can configure a field for only one query type.
Before you Begin
When you make encrypted fields queryable, consider performance and security. For details on how each configuration option affects these, see Configure Encrypted Fields for Optimal Search and Storage.
To use the Public Preview prefix, suffix, or substring queries with
mongosh, you must separately download the Automatic Encryption Shared Library 8.2 or higher, then specify the
library path to mongosh using the --cryptSharedLibPath option.
Steps
Specify fields to encrypt.
Add the
pathandbsonTypestrings to a document within the fields array:const encryptedFieldsObject = { fields: [ { path: "myDocumentField", bsonType: "int" } ] } Important
You can specify any field for encryption except the
_idfield.Optionally, set a
keyIdfield with the DEK ID.Important
Key IDs must be unique, otherwise the server returns an error.
By configuring
AutoEncryptionSettingson the client, you can use thecreateEncryptedCollectionhelper method to create keys automatically.{ path: "myDocumentField", bsonType: "int", keyId: "<unique data encryption key>" }
Enable range queries on desired fields.
This enables querying with the $lt, $lte, $gt, and $gte operators.
For details on how the following options affect security and performance, see Configure Encrypted Fields for Optimal Search and Storage.
Add the
queriesobject and setqueryTypeto"range":{ path: "myDocumentRangeField", bsonType: "int", queries: { queryType: "range" } } Set the following fields:
FieldTypeDescriptionSame as field
bsonTypeRequired if
bsonTypeisdecimalordouble. Optional but highly recommended if it isint,long, ordate. Defaults to the minimum and maximum values of thebsonType.When possible, specifying bounds on a query improves performance. If querying values outside of these inclusive bounds, MongoDB returns an error.
{ path: "myDocumentRangeField", bsonType: "int", queries: { queryType: "range", min: 0, max: 1200 } }
Enable prefix, suffix, or substring queries on desired fields.
These query types are for string fields only. You can enable both
prefixPreview and suffixPreview on the same field, but can't
enable either if using substringPreview.
Warning
Prefix, Suffix, and Substring Queries are in Public Preview
Queryable Encryption prefix, suffix, and substring queries are available in public preview in MongoDB 8.2. Do not enable these query types in production. Public preview functionality will be incompatible with the GA feature, and you will have to drop any collections that enable these queries.
prefixPreviewqueries enable the$encStrStartsWithand$encStrNormalizedEqaggregation expressions.suffixPreviewqueries enable the$encStrEndsWithand$encStrNormalizedEqaggregation expressions.substringPreviewqueries enable the$encStrContainsand$encStrNormalizedEqaggregation expressions.
Add the
queriesobject and setqueryTypeto"prefixPreview","suffixPreview", or"substringPreview":{ path: "myDocumentStringField", bsonType: "string", queries: { queryType: "substringPreview" } } Set the following fields.
For details on how they affect security and performance, see Configure Encrypted Fields for Optimal Search and Storage.
FieldTypeDescriptioninteger
substringPreviewqueries only. The maximum allowed length for a substring-indexed field.integer
The minimum allowed prefix/suffix/substring length to query.
integer
The maximum allowed prefix/suffix/substring length to query.
IMPORTANT: This setting strongly impacts query performance. Limit it whenever possible.
Boolean
Optional. Whether queries are case-sensitive. Defaults to
true.Boolean
Optional. Whether queries are diacritic-sensitive. Defaults to
true.{ path: "myDocumentStringField", bsonType: "string", queries: { "queryType": "substringPreview", "strMaxLength": 30, "strMinQueryLength": 1, "strMaxQueryLength": 20, "caseSensitive": false } }
Example
This example shows how to create an encryption schema for hospital data.
Consider the following document that contains personally identifiable information (PII), credit card information, and sensitive medical information:
{ "firstName": "Jon", "lastName": "Snow", "patientId": 12345187, "address": "123 Cherry Ave", "medications": [ "Adderall", "Lipitor" ], "patientInfo": { "ssn": "921-12-1234", "billing": { "type": "visa", "number": "1234-1234-1234-1234" } } }
To ensure the PII and sensitive medical information stays secure, this encryption schema adds the relevant fields:
const encryptedFieldsObject = { fields: [ { path: "patientId", bsonType: "int" }, { path: "patientInfo.ssn", bsonType: "string" }, { path: "medications", bsonType: "array" }, { path: "patientInfo.billing", bsonType: "object" } ] }
Adding the queries property makes the patientId and
patientInfo.ssn fields queryable. This example enables equality queries:
const encryptedFieldsObject = { fields: [ { path: "patientId", bsonType: "int", queries: { queryType: "equality" } }, { path: "patientInfo.ssn", bsonType: "string", queries: { queryType: "equality" } }, { path: "medications", bsonType: "array" }, { path: "patientInfo.billing", bsonType: "object" }, ] }