In-Use Encryption

Client-Side Field Level Encryption

New in MongoDB 4.2, client-side field level encryption allows an application to encrypt specific data fields in addition to pre-existing MongoDB encryption features such as Encryption at Rest and TLS/SSL (Transport Encryption).

With field level encryption, applications can encrypt fields in documents prior to transmitting data over the wire to the server. Client-side field level encryption supports workloads where applications must guarantee that unauthorized parties, including server administrators, cannot read the encrypted data.

See also

The MongoDB documentation on Client Side Field Level Encryption.

Dependencies

To get started using client-side field level encryption in your project, you will need to install the pymongocrypt and pymongo-auth-aws libraries as well as the driver itself. Install both the driver and a compatible version of the dependencies like this:

$ python -m pip install 'pymongo[encryption]'

Note that installing on Linux requires pip 19 or later for manylinux2010 wheel support. For more information about installing pymongocrypt see the installation instructions on the project’s PyPI page.

Additionally, either crypt_shared or mongocryptd are required in order to use automatic client-side encryption.

crypt_shared

The Automatic Encryption Shared Library (crypt_shared) provides the same functionality as mongocryptd, but does not require you to spawn another process to perform automatic encryption.

By default, pymongo attempts to load crypt_shared from the system and if found uses it automatically. To load crypt_shared from another location, use the crypt_shared_lib_path argument to AutoEncryptionOpts. If pymongo cannot load crypt_shared it will attempt to fallback to using mongocryptd by default. Set crypt_shared_lib_required=True to make the app always use crypt_shared and fail if it could not be loaded.

For detailed installation instructions see the MongoDB documentation on Automatic Encryption Shared Library.

mongocryptd

The mongocryptd binary is required for automatic client-side encryption and is included as a component in the MongoDB Enterprise Server package. For detailed installation instructions see the MongoDB documentation on mongocryptd.

mongocryptd performs the following:

• Parses the automatic encryption rules specified to the database connection. If the JSON schema contains invalid automatic encryption syntax or any document validation syntax, mongocryptd returns an error.

• Uses the specified automatic encryption rules to mark fields in read and write operations for encryption.

• Rejects read/write operations that may return unexpected or incorrect results when applied to an encrypted field. For supported and unsupported operations, see Read/Write Support with Automatic Field Level Encryption.

A MongoClient configured with auto encryption will automatically spawn the mongocryptd process from the application’s PATH. Applications can control the spawning behavior as part of the automatic encryption options. For example to set the path to the mongocryptd process:

auto_encryption_opts = AutoEncryptionOpts(
        ...,
        mongocryptd_spawn_path='/path/to/mongocryptd')

To control the logging output of mongocryptd pass options using mongocryptd_spawn_args:

auto_encryption_opts = AutoEncryptionOpts(
        ...,
        mongocryptd_spawn_args=['--logpath=/path/to/mongocryptd.log', '--logappend'])

If your application wishes to manage the mongocryptd process manually, it is possible to disable spawning mongocryptd:

auto_encryption_opts = AutoEncryptionOpts(
        ...,
        mongocryptd_bypass_spawn=True,
        # URI of the local ``mongocryptd`` process.
        mongocryptd_uri='mongodb://localhost:27020')

mongocryptd is only responsible for supporting automatic client-side field level encryption and does not itself perform any encryption or decryption.

Automatic Client-Side Field Level Encryption

Automatic client-side field level encryption is enabled by creating a MongoClient with the auto_encryption_opts option set to an instance of AutoEncryptionOpts. The following examples show how to setup automatic client-side field level encryption using ClientEncryption to create a new encryption data key.

Note

Automatic client-side field level encryption requires MongoDB >=4.2 enterprise or a MongoDB >=4.2 Atlas cluster. The community version of the server supports automatic decryption as well as Explicit Encryption.

Providing Local Automatic Encryption Rules

The following example shows how to specify automatic encryption rules via the schema_map option. The automatic encryption rules are expressed using a strict subset of the JSON Schema syntax.

Supplying a schema_map provides more security than relying on JSON Schemas obtained from the server. It protects against a malicious server advertising a false JSON Schema, which could trick the client into sending unencrypted data that should be encrypted.

JSON Schemas supplied in the schema_map only apply to configuring automatic client-side field level encryption. Other validation rules in the JSON schema will not be enforced by the driver and will result in an error.

import os
from bson.codec_options import CodecOptions
from bson import json_util
from pymongo import MongoClient
from pymongo.encryption import Algorithm, ClientEncryption
from pymongo.encryption_options import AutoEncryptionOpts


def create_json_schema_file(kms_providers, key_vault_namespace, key_vault_client):
    client_encryption = ClientEncryption(
        kms_providers,
        key_vault_namespace,
        key_vault_client,
        # The CodecOptions class used for encrypting and decrypting.
        # This should be the same CodecOptions instance you have configured
        # on MongoClient, Database, or Collection. We will not be calling
        # encrypt() or decrypt() in this example so we can use any
        # CodecOptions.
        CodecOptions(),
    )

    # Create a new data key and json schema for the encryptedField.
    # https://dochub.mongodb.org/core/client-side-field-level-encryption-automatic-encryption-rules
    data_key_id = client_encryption.create_data_key(
        "local", key_alt_names=["pymongo_encryption_example_1"]
    )
    schema = {
        "properties": {
            "encryptedField": {
                "encrypt": {
                    "keyId": [data_key_id],
                    "bsonType": "string",
                    "algorithm": Algorithm.AEAD_AES_256_CBC_HMAC_SHA_512_Deterministic,
                }
            }
        },
        "bsonType": "object",
    }
    # Use CANONICAL_JSON_OPTIONS so that other drivers and tools will be
    # able to parse the MongoDB extended JSON file.
    json_schema_string = json_util.dumps(
        schema, json_options=json_util.CANONICAL_JSON_OPTIONS
    )

    with open("jsonSchema.json", "w") as file:
        file.write(json_schema_string)


def main():
    # The MongoDB namespace (db.collection) used to store the
    # encrypted documents in this example.
    encrypted_namespace = "test.coll"

    # This must be the same master key that was used to create
    # the encryption key.
    local_master_key = os.urandom(96)
    kms_providers = {"local": {"key": local_master_key}}

    # The MongoDB namespace (db.collection) used to store
    # the encryption data keys.
    key_vault_namespace = "encryption.__pymongoTestKeyVault"
    key_vault_db_name, key_vault_coll_name = key_vault_namespace.split(".", 1)

    # The MongoClient used to access the key vault (key_vault_namespace).
    key_vault_client = MongoClient()
    key_vault = key_vault_client[key_vault_db_name][key_vault_coll_name]
    # Ensure that two data keys cannot share the same keyAltName.
    key_vault.drop()
    key_vault.create_index(
        "keyAltNames",
        unique=True,
        partialFilterExpression={"keyAltNames": {"$exists": True}},
    )

    create_json_schema_file(kms_providers, key_vault_namespace, key_vault_client)

    # Load the JSON Schema and construct the local schema_map option.
    with open("jsonSchema.json", "r") as file:
        json_schema_string = file.read()
    json_schema = json_util.loads(json_schema_string)
    schema_map = {encrypted_namespace: json_schema}

    auto_encryption_opts = AutoEncryptionOpts(
        kms_providers, key_vault_namespace, schema_map=schema_map
    )

    client = MongoClient(auto_encryption_opts=auto_encryption_opts)
    db_name, coll_name = encrypted_namespace.split(".", 1)
    coll = client[db_name][coll_name]
    # Clear old data
    coll.drop()

    coll.insert_one({"encryptedField": "123456789"})
    print("Decrypted document: %s" % (coll.find_one(),))
    unencrypted_coll = MongoClient()[db_name][coll_name]
    print("Encrypted document: %s" % (unencrypted_coll.find_one(),))


if __name__ == "__main__":
    main()

Server-Side Field Level Encryption Enforcement

MongoDB >=4.2 servers supports using schema validation to enforce encryption of specific fields in a collection. This schema validation will prevent an application from inserting unencrypted values for any fields marked with the "encrypt" JSON schema keyword.

The following example shows how to setup automatic client-side field level encryption using ClientEncryption to create a new encryption data key and create a collection with the Automatic Encryption JSON Schema Syntax:

import os

from bson.codec_options import CodecOptions
from bson.binary import STANDARD

from pymongo import MongoClient
from pymongo.encryption import Algorithm, ClientEncryption
from pymongo.encryption_options import AutoEncryptionOpts
from pymongo.errors import OperationFailure
from pymongo.write_concern import WriteConcern


def main():
    # The MongoDB namespace (db.collection) used to store the
    # encrypted documents in this example.
    encrypted_namespace = "test.coll"

    # This must be the same master key that was used to create
    # the encryption key.
    local_master_key = os.urandom(96)
    kms_providers = {"local": {"key": local_master_key}}

    # The MongoDB namespace (db.collection) used to store
    # the encryption data keys.
    key_vault_namespace = "encryption.__pymongoTestKeyVault"
    key_vault_db_name, key_vault_coll_name = key_vault_namespace.split(".", 1)

    # The MongoClient used to access the key vault (key_vault_namespace).
    key_vault_client = MongoClient()
    key_vault = key_vault_client[key_vault_db_name][key_vault_coll_name]
    # Ensure that two data keys cannot share the same keyAltName.
    key_vault.drop()
    key_vault.create_index(
        "keyAltNames",
        unique=True,
        partialFilterExpression={"keyAltNames": {"$exists": True}},
    )

    client_encryption = ClientEncryption(
        kms_providers,
        key_vault_namespace,
        key_vault_client,
        # The CodecOptions class used for encrypting and decrypting.
        # This should be the same CodecOptions instance you have configured
        # on MongoClient, Database, or Collection. We will not be calling
        # encrypt() or decrypt() in this example so we can use any
        # CodecOptions.
        CodecOptions(),
    )

    # Create a new data key and json schema for the encryptedField.
    data_key_id = client_encryption.create_data_key(
        "local", key_alt_names=["pymongo_encryption_example_2"]
    )
    json_schema = {
        "properties": {
            "encryptedField": {
                "encrypt": {
                    "keyId": [data_key_id],
                    "bsonType": "string",
                    "algorithm": Algorithm.AEAD_AES_256_CBC_HMAC_SHA_512_Deterministic,
                }
            }
        },
        "bsonType": "object",
    }

    auto_encryption_opts = AutoEncryptionOpts(kms_providers, key_vault_namespace)
    client = MongoClient(auto_encryption_opts=auto_encryption_opts)
    db_name, coll_name = encrypted_namespace.split(".", 1)
    db = client[db_name]
    # Clear old data
    db.drop_collection(coll_name)
    # Create the collection with the encryption JSON Schema.
    db.create_collection(
        coll_name,
        # uuid_representation=STANDARD is required to ensure that any
        # UUIDs in the $jsonSchema document are encoded to BSON Binary
        # with the standard UUID subtype 4. This is only needed when
        # running the "create" collection command with an encryption
        # JSON Schema.
        codec_options=CodecOptions(uuid_representation=STANDARD),
        write_concern=WriteConcern(w="majority"),
        validator={"$jsonSchema": json_schema},
    )
    coll = client[db_name][coll_name]

    coll.insert_one({"encryptedField": "123456789"})
    print("Decrypted document: %s" % (coll.find_one(),))
    unencrypted_coll = MongoClient()[db_name][coll_name]
    print("Encrypted document: %s" % (unencrypted_coll.find_one(),))
    try:
        unencrypted_coll.insert_one({"encryptedField": "123456789"})
    except OperationFailure as exc:
        print("Unencrypted insert failed: %s" % (exc.details,))


if __name__ == "__main__":
    main()

Explicit Encryption

Explicit encryption is a MongoDB community feature and does not use the mongocryptd process. Explicit encryption is provided by the ClientEncryption class, for example:

import os

from pymongo import MongoClient
from pymongo.encryption import Algorithm, ClientEncryption


def main():
    # This must be the same master key that was used to create
    # the encryption key.
    local_master_key = os.urandom(96)
    kms_providers = {"local": {"key": local_master_key}}

    # The MongoDB namespace (db.collection) used to store
    # the encryption data keys.
    key_vault_namespace = "encryption.__pymongoTestKeyVault"
    key_vault_db_name, key_vault_coll_name = key_vault_namespace.split(".", 1)

    # The MongoClient used to read/write application data.
    client = MongoClient()
    coll = client.test.coll
    # Clear old data
    coll.drop()

    # Set up the key vault (key_vault_namespace) for this example.
    key_vault = client[key_vault_db_name][key_vault_coll_name]
    # Ensure that two data keys cannot share the same keyAltName.
    key_vault.drop()
    key_vault.create_index(
        "keyAltNames",
        unique=True,
        partialFilterExpression={"keyAltNames": {"$exists": True}},
    )

    client_encryption = ClientEncryption(
        kms_providers,
        key_vault_namespace,
        # The MongoClient to use for reading/writing to the key vault.
        # This can be the same MongoClient used by the main application.
        client,
        # The CodecOptions class used for encrypting and decrypting.
        # This should be the same CodecOptions instance you have configured
        # on MongoClient, Database, or Collection.
        coll.codec_options,
    )

    # Create a new data key for the encryptedField.
    data_key_id = client_encryption.create_data_key(
        "local", key_alt_names=["pymongo_encryption_example_3"]
    )

    # Explicitly encrypt a field:
    encrypted_field = client_encryption.encrypt(
        "123456789",
        Algorithm.AEAD_AES_256_CBC_HMAC_SHA_512_Deterministic,
        key_id=data_key_id,
    )
    coll.insert_one({"encryptedField": encrypted_field})
    doc = coll.find_one()
    print("Encrypted document: %s" % (doc,))

    # Explicitly decrypt the field:
    doc["encryptedField"] = client_encryption.decrypt(doc["encryptedField"])
    print("Decrypted document: %s" % (doc,))

    # Cleanup resources.
    client_encryption.close()
    client.close()


if __name__ == "__main__":
    main()

Explicit Encryption with Automatic Decryption

Although automatic encryption requires MongoDB >=4.2 enterprise or a MongoDB >=4.2 Atlas cluster, automatic decryption is supported for all users. To configure automatic decryption without automatic encryption set bypass_auto_encryption=True in AutoEncryptionOpts:

import os

from pymongo import MongoClient
from pymongo.encryption import Algorithm, ClientEncryption
from pymongo.encryption_options import AutoEncryptionOpts


def main():
    # This must be the same master key that was used to create
    # the encryption key.
    local_master_key = os.urandom(96)
    kms_providers = {"local": {"key": local_master_key}}

    # The MongoDB namespace (db.collection) used to store
    # the encryption data keys.
    key_vault_namespace = "encryption.__pymongoTestKeyVault"
    key_vault_db_name, key_vault_coll_name = key_vault_namespace.split(".", 1)

    # bypass_auto_encryption=True disable automatic encryption but keeps
    # the automatic _decryption_ behavior. bypass_auto_encryption will
    # also disable spawning mongocryptd.
    auto_encryption_opts = AutoEncryptionOpts(
        kms_providers, key_vault_namespace, bypass_auto_encryption=True
    )

    client = MongoClient(auto_encryption_opts=auto_encryption_opts)
    coll = client.test.coll
    # Clear old data
    coll.drop()

    # Set up the key vault (key_vault_namespace) for this example.
    key_vault = client[key_vault_db_name][key_vault_coll_name]
    # Ensure that two data keys cannot share the same keyAltName.
    key_vault.drop()
    key_vault.create_index(
        "keyAltNames",
        unique=True,
        partialFilterExpression={"keyAltNames": {"$exists": True}},
    )

    client_encryption = ClientEncryption(
        kms_providers,
        key_vault_namespace,
        # The MongoClient to use for reading/writing to the key vault.
        # This can be the same MongoClient used by the main application.
        client,
        # The CodecOptions class used for encrypting and decrypting.
        # This should be the same CodecOptions instance you have configured
        # on MongoClient, Database, or Collection.
        coll.codec_options,
    )

    # Create a new data key for the encryptedField.
    data_key_id = client_encryption.create_data_key(
        "local", key_alt_names=["pymongo_encryption_example_4"]
    )

    # Explicitly encrypt a field:
    encrypted_field = client_encryption.encrypt(
        "123456789",
        Algorithm.AEAD_AES_256_CBC_HMAC_SHA_512_Deterministic,
        key_alt_name="pymongo_encryption_example_4",
    )
    coll.insert_one({"encryptedField": encrypted_field})
    # Automatically decrypts any encrypted fields.
    doc = coll.find_one()
    print("Decrypted document: %s" % (doc,))
    unencrypted_coll = MongoClient().test.coll
    print("Encrypted document: %s" % (unencrypted_coll.find_one(),))

    # Cleanup resources.
    client_encryption.close()
    client.close()


if __name__ == "__main__":
    main()

CSFLE on-demand credentials

pymongocrypt 1.4 adds support for fetching on-demand KMS credentials for AWS, GCP, and Azure cloud environments.

To enable the driver’s behavior to obtain credentials from the environment, add the appropriate key (“aws”, “gcp”, or “azure”) with an empty map to “kms_providers” in either AutoEncryptionOpts or ClientEncryption options.

An application using AWS credentials would look like:

from pymongo import MongoClient
from pymongo.encryption import ClientEncryption

client = MongoClient()
client_encryption = ClientEncryption(
    # The empty dictionary enables on-demand credentials.
    kms_providers={"aws": {}},
    key_vault_namespace="keyvault.datakeys",
    key_vault_client=client,
    codec_options=client.codec_options,
)
master_key = {
    "region": "us-east-1",
    "key": ("arn:aws:kms:us-east-1:123456789:key/89fcc2c4-08b0-4bd9-9f25-e30687b580d0"),
}
client_encryption.create_data_key("aws", master_key)

The above will enable the same behavior of obtaining AWS credentials from the environment as is used for MONGODB-AWS authentication, including the caching to avoid rate limiting.

An application using GCP credentials would look like:

from pymongo import MongoClient
from pymongo.encryption import ClientEncryption

client = MongoClient()
client_encryption = ClientEncryption(
    # The empty dictionary enables on-demand credentials.
    kms_providers={"gcp": {}},
    key_vault_namespace="keyvault.datakeys",
    key_vault_client=client,
    codec_options=client.codec_options,
)
master_key = {
    "projectId": "my-project",
    "location": "global",
    "keyRing": "key-ring-csfle",
    "keyName": "key-name-csfle",
}
client_encryption.create_data_key("gcp", master_key)

The driver will query the VM instance metadata to obtain credentials.

An application using Azure credentials would look like, this time using AutoEncryptionOpts:

from pymongo import MongoClient
from pymongo.encryption_options import AutoEncryptionOpts

# The empty dictionary enables on-demand credentials.
kms_providers = ({"azure": {}},)
key_vault_namespace = "keyvault.datakeys"
auto_encryption_opts = AutoEncryptionOpts(kms_providers, key_vault_namespace)
client = MongoClient(auto_encryption_opts=auto_encryption_opts)
coll = client.test.coll
coll.insert_one({"encryptedField": "123456789"})

The driver will acquire an access token from the Azure VM.

Queryable Encryption

Automatic Queryable Encryption

Automatic Queryable Encryption requires MongoDB 7.0+ Enterprise or a MongoDB 7.0+ Atlas cluster.

Queryable Encryption is the second version of Client-Side Field Level Encryption. Data is encrypted client-side. Queryable Encryption supports indexed encrypted fields, which are further processed server-side.

Automatic encryption in Queryable Encryption is configured with an encrypted_fields mapping, as demonstrated by the following example:

import os
from bson.codec_options import CodecOptions
from pymongo import MongoClient
from pymongo.encryption import Algorithm, ClientEncryption, QueryType
from pymongo.encryption_options import AutoEncryptionOpts

local_master_key = os.urandom(96)
kms_providers = {"local": {"key": local_master_key}}
key_vault_namespace = "keyvault.datakeys"
key_vault_client = MongoClient()
client_encryption = ClientEncryption(
    kms_providers, key_vault_namespace, key_vault_client, CodecOptions()
)
key_vault = key_vault_client["keyvault"]["datakeys"]
key_vault.drop()
# Ensure that two data keys cannot share the same keyAltName.
key_vault.create_index(
    "keyAltNames",
    unique=True,
    partialFilterExpression={"keyAltNames": {"$exists": True}},
)
key1_id = client_encryption.create_data_key("local", key_alt_names=["firstName"])
key2_id = client_encryption.create_data_key("local", key_alt_names=["lastName"])

encrypted_fields_map = {
    "default.encryptedCollection": {
        "escCollection": "encryptedCollection.esc",
        "ecocCollection": "encryptedCollection.ecoc",
        "fields": [
            {
                "path": "firstName",
                "bsonType": "string",
                "keyId": key1_id,
                "queries": [{"queryType": "equality"}],
            },
            {
                "path": "lastName",
                "bsonType": "string",
                "keyId": key2_id,
            },
        ],
    }
}

auto_encryption_opts = AutoEncryptionOpts(
    kms_providers,
    key_vault_namespace,
    encrypted_fields_map=encrypted_fields_map,
)
client = MongoClient(auto_encryption_opts=auto_encryption_opts)
client.default.drop_collection("encryptedCollection")
coll = client.default.create_collection("encryptedCollection")
coll.insert_one({"_id": 1, "firstName": "Jane", "lastName": "Doe"})
docs = list(coll.find({"firstName": "Jane"}))
print(docs)

In the above example, the firstName and lastName fields are automatically encrypted and decrypted.

Explicit Queryable Encryption

Explicit Queryable Encryption requires MongoDB 7.0+.

Queryable Encryption is the second version of Client-Side Field Level Encryption. Data is encrypted client-side. Queryable Encryption supports indexed encrypted fields, which are further processed server-side.

Explicit encryption in Queryable Encryption is performed using the encrypt and decrypt methods. Automatic encryption (to allow the find_one to automatically decrypt) is configured using an encrypted_fields mapping, as demonstrated by the following example:

import os
from pymongo import MongoClient
from pymongo.encryption import (
    Algorithm,
    AutoEncryptionOpts,
    ClientEncryption,
    QueryType,
)


def main():
    # This must be the same master key that was used to create
    # the encryption key.
    local_master_key = os.urandom(96)
    kms_providers = {"local": {"key": local_master_key}}

    # The MongoDB namespace (db.collection) used to store
    # the encryption data keys.
    key_vault_namespace = "encryption.__pymongoTestKeyVault"
    key_vault_db_name, key_vault_coll_name = key_vault_namespace.split(".", 1)

    # Set up the key vault (key_vault_namespace) for this example.
    client = MongoClient()
    key_vault = client[key_vault_db_name][key_vault_coll_name]

    # Ensure that two data keys cannot share the same keyAltName.
    key_vault.drop()
    key_vault.create_index(
        "keyAltNames",
        unique=True,
        partialFilterExpression={"keyAltNames": {"$exists": True}},
    )

    client_encryption = ClientEncryption(
        kms_providers,
        key_vault_namespace,
        # The MongoClient to use for reading/writing to the key vault.
        # This can be the same MongoClient used by the main application.
        client,
        # The CodecOptions class used for encrypting and decrypting.
        # This should be the same CodecOptions instance you have configured
        # on MongoClient, Database, or Collection.
        client.codec_options,
    )

    # Create a new data key for the encryptedField.
    indexed_key_id = client_encryption.create_data_key("local")
    unindexed_key_id = client_encryption.create_data_key("local")

    encrypted_fields = {
        "escCollection": "enxcol_.default.esc",
        "ecocCollection": "enxcol_.default.ecoc",
        "fields": [
            {
                "keyId": indexed_key_id,
                "path": "encryptedIndexed",
                "bsonType": "string",
                "queries": {"queryType": "equality"},
            },
            {
                "keyId": unindexed_key_id,
                "path": "encryptedUnindexed",
                "bsonType": "string",
            },
        ],
    }

    opts = AutoEncryptionOpts(
        {"local": {"key": local_master_key}},
        key_vault.full_name,
        bypass_query_analysis=True,
        key_vault_client=client,
    )

    # The MongoClient used to read/write application data.
    encrypted_client = MongoClient(auto_encryption_opts=opts)
    encrypted_client.drop_database("test")
    db = encrypted_client.test

    # Create the collection with encrypted fields.
    coll = db.create_collection("coll", encryptedFields=encrypted_fields)

    # Create and encrypt an indexed and unindexed value.
    val = "encrypted indexed value"
    unindexed_val = "encrypted unindexed value"
    insert_payload_indexed = client_encryption.encrypt(
        val, Algorithm.INDEXED, indexed_key_id, contention_factor=1
    )
    insert_payload_unindexed = client_encryption.encrypt(
        unindexed_val, Algorithm.UNINDEXED, unindexed_key_id
    )

    # Insert the payloads.
    coll.insert_one(
        {
            "encryptedIndexed": insert_payload_indexed,
            "encryptedUnindexed": insert_payload_unindexed,
        }
    )

    # Encrypt our find payload using QueryType.EQUALITY.
    # The value of "indexed_key_id" must be the same as used to encrypt
    # the values above.
    find_payload = client_encryption.encrypt(
        val,
        Algorithm.INDEXED,
        indexed_key_id,
        query_type=QueryType.EQUALITY,
        contention_factor=1,
    )

    # Find the document we inserted using the encrypted payload.
    # The returned document is automatically decrypted.
    doc = coll.find_one({"encryptedIndexed": find_payload})
    print("Returned document: %s" % (doc,))

    # Cleanup resources.
    client_encryption.close()
    encrypted_client.close()
    client.close()


if __name__ == "__main__":
    main()