When you use Queryable Encryption, you define encrypted fields at the collection level using an encryption schema. Encrypting a field and enabling queries increases storage requirements and impacts query performance. You can configure an encrypted field for either equality or range queries, but not both. Configure fields for the expected query type.
For instructions on creating an encryption schema and configuring querying, see Create an Encryption Schema.
Supported Query Types and Behavior
For a list of supported query operators and behavior with encrypted fields, see Supported Query Types & Operators.
Schema Validation
Queryable Encryption requires a server-side encryption schema to enforce encryption of specific fields in a collection. Clients using automatic Queryable Encryption behave differently depending on the database connection configuration:
At minimum, local rules must encrypt the same fields as the remote schema on the server.
If the connection
encryptedFieldsMapobject contains a key for the specified collection, the client uses that object to perform automatic Queryable Encryption, rather than using the remote schema.If the connection
encryptedFieldsMapobject doesn't contain a key for the specified collection, the client downloads the remote schema for the collection and uses it instead.Important
Remote Schema Behavior
When using a remote schema:
The client trusts that the server has a valid schema
The client uses the remote schema to perform automatic Queryable Encryption only. The client does not enforce any other validation rules specified in the schema.
Considerations when Enabling Querying
Decide which fields should be encrypted and/or queryable prior to creating your collection. Changing which fields are encrypted or queryable requires rebuilding the collection's encryption schema and re-creating the collection.
If you don't need to query an encrypted field, you may not need to enable querying on that field. You can still retrieve the document by querying other fields that are queryable or unencrypted.
For every encrypted collection, MongoDB creates two metadata collections, increasing storage space. MongoDB creates an index for each encrypted field, which increases the duration of write operations on that field. When a write operation updates an indexed field, MongoDB updates the related index.
Configure Encrypted Fields for Optimal Search and Storage
MongoDB provides the following parameters to facilitate performance tuning and debugging:
min, maxQuery Type:
rangeType: Must match the field's
bsonType.Required if setting precision. Otherwise optional, but highly recommended. Defaults to the
bsonTypemin and max values.Specify minimum and maximum (inclusive) queryable values for a field when possible, as smaller bounds improve query efficiency. If querying values outside of these bounds, MongoDB returns an error.
Prefix, Suffix, and Substring Parameters
strMaxLengthQuery Type:
substringType: Integer from 2-50, inclusive.
Required. The maximum allowed length for a substring-indexed field. Attempting to insert a longer string returns an error.
strMinQueryLengthQuery Type:
prefix,suffix,substringType: Positive integer.
Must be >= 1 for
prefixorsuffixqueries.Must be >= 2 for
substringqueries.
Required. The minimum allowed prefix/suffix/substring length to query. Attempting to query a shorter string returns an error.
strMaxQueryLengthQuery Type:
prefix,suffix,substringType: Positive integer.
Must be >= 1 for
prefixorsuffixqueries.Must be 2-6 inclusive for
substringqueries.
Required. The maximum allowed prefix/suffix/substring length to query. Attempting to query a longer string returns an error.
Important
This setting strongly impacts query performance. Limit the maximum query length whenever possible.
Advanced Query Parameters
Warning
These parameters are intended for advanced users only. The default values are suitable for the majority of use cases, and should only be modified if your use case requires it.
sparsityQuery Type:
rangeType: Integer from 1-8.
Optional. Defaults to 2.
Affects how thoroughly MongoDB indexes range values. Low sparsity (dense indexing) improves query performance, but stores more documents in the encrypted metadata collections for each insert or update operation, causing greater storage overhead. High sparsity does the opposite.
Changed in version 8.2:
Maximum value changed from 4 to 8.
precisionQuery Type:
rangeType: Integer.
Optional. Allowed only if
bsonTypeisdoubleordecimal. If unset, MongoDB uses the same maximum precision as thebsonType, eitherdoubleordecimal.Limits how many digits after the decimal point are taken into account when querying a
doubleordecimalfield. Additional digits are dropped, not rounded. For example, aprecisionof 1 treats10.18as10.1for queries. The encrypted value is still stored as10.18.Specify
precisionand limit it when possible. Every digit increases storage overhead and has a high impact on searchable range and index generation.
trimFactorQuery Type:
rangeType: Integer.
Optional. Defaults to 6.
The
trimFactorcontrols the throughput of concurrent inserts and updates. A highertrimFactorincreases the throughput of concurrent insert and updates at the cost of slowing down some range read operations. A lowertrimFactordoes the opposite.
contentionQuery Type:
equality,range,prefix,suffix,substringType: Integer.
Optional for automatic encryption, defaults to 8. Required for explicit encryption.
Concurrent write operations, such as inserting the same field/value pair into multiple documents in close succession, can cause contention: conflicts that delay operations.
With Queryable Encryption, MongoDB tracks the occurrences of each field/value pair in an encrypted collection using an internal counter. The contention factor partitions this counter, similar to an array. This minimizes issues with incrementing the counter when using
insert,update, orfindAndModifyto add or modify an encrypted field with the same field/value pair in close succession.contention = 0creates an array with one element at index 0.contention = 4creates an array with 5 elements at indexes 0-4. MongoDB increments a random array element during insert.When unset,
contentiondefaults to8, which provides high performance for most workloads. Higher contention improves the performance of insert and update operations on low cardinality fields, but decreases find performance.For more thorough information on contention factor and its cryptographic implications, see "Section 9: Guidelines" in MongoDB's Queryable Encryption Technical Paper.