Docs 菜单
Docs 主页
/
MongoDB Manual
/ / / / /

通过 Azure 使用客户端字段级自动加密

在此页面上

  • Overview
  • 开始之前
  • 设置 KMS
  • 向 Azure 注册您的应用程序
  • 创建客户主密钥
  • 创建应用程序
  • 在密钥保管库集合上创建唯一索引
  • 创建新的数据加密密钥
  • 配置 MongoClient
  • 插入具有加密字段的文档
  • 检索加密文档
  • 了解详情

本指南介绍如何使用 Azure Key Vault 构建启用客户端字段级加密 (CSFLE) 的应用程序。

在完成本指南中的步骤后,您应该具有:

  • 托管在 Azure Key Vault 实例上的客户主密钥。

  • 一个有效的客户端应用程序,使用客户主密钥插入加密文档。

要完成并运行本指南中的代码,您需要按照安装要求页面所示设立开发环境。

在本指南中,代码示例使用占位符文本。在运行示例之前,请用您自己的值替换这些占位符。

例如:

dek_id := "<Your Base64 DEK ID>"

您可以将引号之间的内容替换为您的 DEK ID。

dek_id := "abc123"

从页面右侧的 Select your language(选择语言)下拉菜单中,选择要查看代码示例的编程语言。

提示

请参阅:完整应用程序

要查看本教程的完整可运行应用程序代码,请访问以下链接:

完整的 C# 应用程序

// You are viewing the C# driver code examples.
// Use the dropdown menu to select a different driver.
// You are viewing the Golang driver code examples.
// Use the dropdown menu to select a different driver.
// You are viewing the Java synchronous driver code examples.
// Use the dropdown menu to select a different driver.
// You are viewing the Node.js driver code examples.
// Use the dropdown menu to select a different driver.
# You are viewing the Python driver code examples.
# Use the dropdown menu to select a different driver.
1
1
2

要在 Azure Active Directory 上注册应用程序,请按照 Microsoft 官方文档 注册应用程序到 Microsoft 身份平台 快速入门。

重要

记录凭证

确保记录以下凭证:

  • 租户 ID

  • 客户 ID

  • 客户端密钥

在本教程的后面部分,您将需要它们来构造 kmsProviders对象。

2
1

要创建新的 Azure Key Vault 实例和客户主密钥,请遵循 Microsoft 官方文档 使用 Azure 门户从 Azure Key Vault 设置和检索密钥 快速入门。

注意

客户主密钥的 RSA 密钥大小应为 2048 或 4096 位。

重要

记录凭证

确保记录以下凭证:

  • 密钥名称

  • 密钥标识符(本指南后面称为keyVaultEndpoint

  • keyVersion

在本教程的后面内容中,您将需要它们来构造dataKeyOpts对象。

2

授予您的客户端应用程序对该密钥的wrapunwrap权限。

1

在你的encryption.__keyVaultcollection中的keyAltNames字段上创建唯一索引。

选择与所需的 MongoDB 驱动程序对应的标签页:

MakeDataKey.cs
var connectionString = "<Your MongoDB URI>";
var keyVaultNamespace = CollectionNamespace.FromFullName("encryption.__keyVault");
var keyVaultClient = new MongoClient(connectionString);
var indexOptions = new CreateIndexOptions<BsonDocument>();
indexOptions.Unique = true;
indexOptions.PartialFilterExpression = new BsonDocument { { "keyAltNames", new BsonDocument { { "$exists", new BsonBoolean(true) } } } };
var builder = Builders<BsonDocument>.IndexKeys;
var indexKeysDocument = builder.Ascending("keyAltNames");
var indexModel = new CreateIndexModel<BsonDocument>(indexKeysDocument, indexOptions);
var keyVaultDatabase = keyVaultClient.GetDatabase(keyVaultNamespace.DatabaseNamespace.ToString());
// Drop the Key Vault Collection in case you created this collection
// in a previous run of this application.
keyVaultDatabase.DropCollection(keyVaultNamespace.CollectionName);
// Drop the database storing your encrypted fields as all
// the DEKs encrypting those fields were deleted in the preceding line.
keyVaultClient.GetDatabase("medicalRecords").DropCollection("patients");
var keyVaultCollection = keyVaultDatabase.GetCollection<BsonDocument>(keyVaultNamespace.CollectionName.ToString());
keyVaultCollection.Indexes.CreateOne(indexModel);
insert-encrypted-document.go
uri := "<Your MongoDB URI>"
keyVaultClient, err := mongo.Connect(context.TODO(), options.Client().ApplyURI(uri))
if err != nil {
return fmt.Errorf("Connect error for regular client: %v", err)
}
defer func() {
_ = keyVaultClient.Disconnect(context.TODO())
}()
keyVaultColl := "__keyVault"
keyVaultDb := "encryption"
keyVaultNamespace := keyVaultDb + "." + keyVaultColl
keyVaultIndex := mongo.IndexModel{
Keys: bson.D{{"keyAltNames", 1}},
Options: options.Index().
SetUnique(true).
SetPartialFilterExpression(bson.D{
{"keyAltNames", bson.D{
{"$exists", true},
}},
}),
}
// Drop the Key Vault Collection in case you created this collection
// in a previous run of this application.
if err = keyVaultClient.Database(keyVaultDb).Collection(keyVaultColl).Drop(context.TODO()); err != nil {
log.Fatalf("Collection.Drop error: %v", err)
}
// Drop the database storing your encrypted fields as all
// the DEKs encrypting those fields were deleted in the preceding line.
if err = keyVaultClient.Database("medicalRecords").Collection("patients").Drop(context.TODO()); err != nil {
log.Fatalf("Collection.Drop error: %v", err)
}
_, err = keyVaultClient.Database(keyVaultDb).Collection(keyVaultColl).Indexes().CreateOne(context.TODO(), keyVaultIndex)
if err != nil {
panic(err)
}
MakeDataKey.java
String connectionString = "<Your MongoDB URI>";
String keyVaultDb = "encryption";
String keyVaultColl = "__keyVault";
String keyVaultNamespace = keyVaultDb + "." + keyVaultColl;
MongoClient keyVaultClient = MongoClients.create(connectionString);
// Drop the Key Vault Collection in case you created this collection
// in a previous run of this application.
keyVaultClient.getDatabase(keyVaultDb).getCollection(keyVaultColl).drop();
// Drop the database storing your encrypted fields as all
// the DEKs encrypting those fields were deleted in the preceding line.
keyVaultClient.getDatabase("medicalRecords").getCollection("patients").drop();
MongoCollection keyVaultCollection = keyVaultClient.getDatabase(keyVaultDb).getCollection(keyVaultColl);
IndexOptions indexOpts = new IndexOptions().partialFilterExpression(new BsonDocument("keyAltNames", new BsonDocument("$exists", new BsonBoolean(true) ))).unique(true);
keyVaultCollection.createIndex(new BsonDocument("keyAltNames", new BsonInt32(1)), indexOpts);
keyVaultClient.close();
make_data_key.js
const uri = "<Your Connection String>";
const keyVaultDatabase = "encryption";
const keyVaultCollection = "__keyVault";
const keyVaultNamespace = `${keyVaultDatabase}.${keyVaultCollection}`;
const keyVaultClient = new MongoClient(uri);
await keyVaultClient.connect();
const keyVaultDB = keyVaultClient.db(keyVaultDatabase);
// Drop the Key Vault Collection in case you created this collection
// in a previous run of this application.
await keyVaultDB.dropDatabase();
// Drop the database storing your encrypted fields as all
// the DEKs encrypting those fields were deleted in the preceding line.
await keyVaultClient.db("medicalRecords").dropDatabase();
const keyVaultColl = keyVaultDB.collection(keyVaultCollection);
await keyVaultColl.createIndex(
{ keyAltNames: 1 },
{
unique: true,
partialFilterExpression: { keyAltNames: { $exists: true } },
}
);
make_data_key.py
connection_string = "<your connection string here>"
key_vault_coll = "__keyVault"
key_vault_db = "encryption"
key_vault_namespace = f"{key_vault_db}.{key_vault_coll}"
key_vault_client = MongoClient(connection_string)
# Drop the Key Vault Collection in case you created this collection
# in a previous run of this application.
key_vault_client.drop_database(key_vault_db)
# Drop the database storing your encrypted fields as all
# the DEKs encrypting those fields were deleted in the preceding line.
key_vault_client["medicalRecords"].drop_collection("patients")
key_vault_client[key_vault_db][key_vault_coll].create_index(
[("keyAltNames", ASCENDING)],
unique=True,
partialFilterExpression={"keyAltNames": {"$exists": True}},
)
2
1

将服务账户凭证添加到启用 CSFLE 的客户端代码中。

提示

您在本指南的“向 Azure 注册应用程序”步骤中记录了 Azure Key Vault 档案。

MakeDataKey.cs
var kmsProviders = new Dictionary<string, IReadOnlyDictionary<string, object>>();
var provider = "azure";
var azureKmsOptions = new Dictionary<string, object>
{
{ "tenantId", "<Your Azure Tenant ID>" },
{ "clientId", "<Your Azure Client ID>" },
{ "clientSecret", "<Your Azure Client Secret>" },
};
make-data-key.go
provider := "azure"
kmsProviders := map[string]map[string]interface{}{
provider: {
"tenantId": "<Your Azure Tenant ID>",
"clientId": "<Your Azure Client ID>",
"clientSecret": "<Your Azure Client Secret>",
},
}
MakeDataKey.java
String kmsProvider = "azure";
Map<String, Map<String, Object>> kmsProviders = new HashMap<String, Map<String, Object>>();
Map<String, Object> providerDetails = new HashMap<>();
providerDetails.put("tenantId", "<Azure account organization>");
providerDetails.put("clientId", "<Azure client ID>");
providerDetails.put("clientSecret", "<Azure client secret>");
kmsProviders.put(kmsProvider, providerDetails);
make_data_key.js
const provider = "azure";
const kmsProviders = {
azure: {
tenantId: "<Your Tenant ID>",
clientId: "<Your Client ID>",
clientSecret: "<Your Client Secret>",
},
};
make_data_key.py
provider = "azure"
kms_providers = {
provider: {
"tenantId": "<Azure account organization>",
"clientId": "<Azure client ID>",
"clientSecret": "<Azure client secret>",
}
}

提示

了解详情

要了解有关 Azure Key Vault 的 KMS 提供商对象的更多信息,请参阅Azure Key Vault。

2

更新以下代码以指定客户主密钥:

提示

您在本指南的 创建客户主密钥 步骤中记录了客户主密钥的 ARN 和地区。

MakeDataKey.cs
kmsProviders.Add(provider, azureKmsOptions);
var dataKeyOptions = new DataKeyOptions(
masterKey: new BsonDocument
{
{ "keyName", "<Your Azure Key Name>" },
{ "keyVaultEndpoint", "<Your Azure Key Vault Endpoint>" },
});
make-data-key.go
masterKey := map[string]interface{}{
"keyVaultEndpoint": "<Your Azure Key Vault Endpoint>",
"keyName": "<Your Azure Key Name>",
}
MakeDataKey.java
BsonDocument masterKeyProperties = new BsonDocument();
masterKeyProperties.put("provider", new BsonString(kmsProvider));
masterKeyProperties.put("keyName", new BsonString("<Azure key name>"));
masterKeyProperties.put("keyVaultEndpoint", new BsonString("<Azure key vault endpoint"));
make_data_key.js
const masterKey = {
keyVaultEndpoint: "<Your Key Vault Endpoint>",
keyName: "<Your Key Name>",
};
make_data_key.py
master_key = {
"keyName": "<Azure key name>",
"keyVersion": "<Azure key version>",
"keyVaultEndpoint": "<Azure key vault endpoint/key identifier>",
}
3
MakeDataKey.cs
var clientEncryptionOptions = new ClientEncryptionOptions(
keyVaultClient: keyVaultClient,
keyVaultNamespace: keyVaultNamespace,
kmsProviders: kmsProviders
);
var clientEncryption = new ClientEncryption(clientEncryptionOptions);
var dataKeyId = clientEncryption.CreateDataKey(provider, dataKeyOptions, CancellationToken.None);
var dataKeyIdBase64 = Convert.ToBase64String(GuidConverter.ToBytes(dataKeyId, GuidRepresentation.Standard));
Console.WriteLine($"DataKeyId [base64]: {dataKeyIdBase64}");
make-data-key.go
clientEncryptionOpts := options.ClientEncryption().SetKeyVaultNamespace(keyVaultNamespace).
SetKmsProviders(kmsProviders)
clientEnc, err := mongo.NewClientEncryption(keyVaultClient, clientEncryptionOpts)
if err != nil {
return fmt.Errorf("NewClientEncryption error %v", err)
}
defer func() {
_ = clientEnc.Close(context.TODO())
}()
dataKeyOpts := options.DataKey().
SetMasterKey(masterKey)
dataKeyID, err := clientEnc.CreateDataKey(context.TODO(), provider, dataKeyOpts)
if err != nil {
return fmt.Errorf("create data key error %v", err)
}
fmt.Printf("DataKeyId [base64]: %s\n", base64.StdEncoding.EncodeToString(dataKeyID.Data))
MakeDataKey.java
ClientEncryptionSettings clientEncryptionSettings = ClientEncryptionSettings.builder()
.keyVaultMongoClientSettings(MongoClientSettings.builder()
.applyConnectionString(new ConnectionString(connectionString))
.build())
.keyVaultNamespace(keyVaultNamespace)
.kmsProviders(kmsProviders)
.build();
MongoClient regularClient = MongoClients.create(connectionString);
ClientEncryption clientEncryption = ClientEncryptions.create(clientEncryptionSettings);
BsonBinary dataKeyId = clientEncryption.createDataKey(kmsProvider, new DataKeyOptions().masterKey(masterKeyProperties));
String base64DataKeyId = Base64.getEncoder().encodeToString(dataKeyId.getData());
System.out.println("DataKeyId [base64]: " + base64DataKeyId);
clientEncryption.close();
make_data_key.js
const client = new MongoClient(uri, {
useNewUrlParser: true,
useUnifiedTopology: true,
});
await client.connect();
const encryption = new ClientEncryption(client, {
keyVaultNamespace,
kmsProviders,
});
const key = await encryption.createDataKey(provider, {
masterKey: masterKey,
});
console.log("DataKeyId [base64]: ", key.toString("base64"));
await keyVaultClient.close();
await client.close();
make_data_key.py
key_vault_database = "encryption"
key_vault_collection = "__keyVault"
key_vault_namespace = f"{key_vault_database}.{key_vault_collection}"
client = MongoClient(connection_string)
client_encryption = ClientEncryption(
kms_providers, # pass in the kms_providers variable from the previous step
key_vault_namespace,
client,
CodecOptions(uuid_representation=STANDARD),
)
data_key_id = client_encryption.create_data_key(provider, master_key)
base_64_data_key_id = base64.b64encode(data_key_id)
print("DataKeyId [base64]: ", base_64_data_key_id)

提示

了解详情

要查看显示使用 Azure Key Vault 时客户端应用程序如何创建数据加密密钥的图表,请参阅架构。

要详细了解创建使用 Azure Key Vault 中托管的客户主密钥加密的数据加密密钥的选项,请参阅kmsProviders 对象dataKeyOpts 对象。

提示

请参阅:完整代码

要查看制作数据加密密钥的完整代码,请参阅我们的 Github 存储库

要查看制作数据加密密钥的完整代码,请参阅我们的 Github 存储库

要查看制作数据加密密钥的完整代码,请参阅我们的 Github 存储库

要查看制作数据加密密钥的完整代码,请参阅我们的 Github 存储库

要查看制作数据加密密钥的完整代码,请参阅我们的 Github 存储库

3
1

指定 encryption.__keyVault 以作为密钥保管库集合命名空间。

InsertEncryptedDocument.cs
var keyVaultNamespace = CollectionNamespace.FromFullName("encryption.__keyVault");
insert-encrypted-document.go
keyVaultNamespace := "encryption.__keyVault"
InsertEncryptedDocument.java
String keyVaultNamespace = "encryption.__keyVault";
insert_encrypted_document.js
const keyVaultNamespace = "encryption.__keyVault";
insert_encrypted_document.py
key_vault_namespace = "encryption.__keyVault"
2

指定azure KMS 提供商和您的 Azure 档案:

InsertEncryptedDocument.cs
var kmsProviders = new Dictionary<string, IReadOnlyDictionary<string, object>>();
var provider = "azure";
var azureKmsOptions = new Dictionary<string, object>
{
{ "tenantId", "<Your Azure Tenant ID>" },
{ "clientId", "<Your Azure Client ID>" },
{ "clientSecret", "<Your Azure Client Secret>" },
};
kmsProviders.Add(provider, azureKmsOptions);
insert-encrypted-document.go
kmsProviders := map[string]map[string]interface{}{
"azure": {
"tenantId": "<Your Azure Tenant ID>",
"clientId": "<Your Azure Client ID>",
"clientSecret": "<Your Azure Client Secret>",
},
}
InsertEncryptedDocument.java
String kmsProvider = "azure";
Map<String, Map<String, Object>> kmsProviders = new HashMap<String, Map<String, Object>>();
Map<String, Object> providerDetails = new HashMap<>();
providerDetails.put("tenantId", "<Azure account organization>");
providerDetails.put("clientId", "<Azure client ID>");
providerDetails.put("clientSecret", "<Azure client secret>");
kmsProviders.put(kmsProvider, providerDetails);
insert_encrypted_document.js
const kmsProviders = {
azure: {
tenantId: "<Your Tenant ID>",
clientId: "<Your Client ID>",
clientSecret: "<Your Client Secret>",
},
};
insert_encrypted_document.py
provider = "azure"
kms_providers = {
"azure": {
"tenantId": "<Azure account organization>",
"clientId": "<Azure client ID>",
"clientSecret": "<Azure client secret>",
}
}
3

提示

添加数据加密密钥 Base64 ID

请务必更新以下代码以包含您的基本64 DEK ID。 您在本指南的“生成数据加密密钥”步骤中收到了该值。

InsertEncryptedDocument.cs
var keyId = "<Your base64 DEK ID here>";
var schema = new BsonDocument
{
{ "bsonType", "object" },
{
"encryptMetadata",
new BsonDocument("keyId", new BsonArray(new[] { new BsonBinaryData(Convert.FromBase64String(keyId), BsonBinarySubType.UuidStandard) }))
},
{
"properties",
new BsonDocument
{
{
"ssn", new BsonDocument
{
{
"encrypt", new BsonDocument
{
{ "bsonType", "int" },
{ "algorithm", "AEAD_AES_256_CBC_HMAC_SHA_512-Deterministic" }
}
}
}
},
{
"bloodType", new BsonDocument
{
{
"encrypt", new BsonDocument
{
{ "bsonType", "string" },
{ "algorithm", "AEAD_AES_256_CBC_HMAC_SHA_512-Random" }
}
}
}
},
{
"medicalRecords", new BsonDocument
{
{
"encrypt", new BsonDocument
{
{ "bsonType", "array" },
{ "algorithm", "AEAD_AES_256_CBC_HMAC_SHA_512-Random" }
}
}
}
},
{
"insurance", new BsonDocument
{
{ "bsonType", "object" },
{
"properties", new BsonDocument
{
{
"policyNumber", new BsonDocument
{
{
"encrypt", new BsonDocument
{
{ "bsonType", "int" },
{ "algorithm", "AEAD_AES_256_CBC_HMAC_SHA_512-Deterministic" }
}
}
}
}
}
}
}
}
}
}
};
var schemaMap = new Dictionary<string, BsonDocument>();
schemaMap.Add(dbNamespace, schema);
insert-encrypted-document.go
dek_id := "<Your Base64 DEK ID>"
schema_template := `{
"bsonType": "object",
"encryptMetadata": {
"keyId": [
{
"$binary": {
"base64": "%s",
"subType": "04"
}
}
]
},
"properties": {
"insurance": {
"bsonType": "object",
"properties": {
"policyNumber": {
"encrypt": {
"bsonType": "int",
"algorithm": "AEAD_AES_256_CBC_HMAC_SHA_512-Deterministic"
}
}
}
},
"medicalRecords": {
"encrypt": {
"bsonType": "array",
"algorithm": "AEAD_AES_256_CBC_HMAC_SHA_512-Random"
}
},
"bloodType": {
"encrypt": {
"bsonType": "string",
"algorithm": "AEAD_AES_256_CBC_HMAC_SHA_512-Random"
}
},
"ssn": {
"encrypt": {
"bsonType": "int",
"algorithm": "AEAD_AES_256_CBC_HMAC_SHA_512-Deterministic"
}
}
}
}`
schema := fmt.Sprintf(schema_template, dek_id)
var schemaDoc bson.Raw
if err := bson.UnmarshalExtJSON([]byte(schema), true, &schemaDoc); err != nil {
return fmt.Errorf("UnmarshalExtJSON error: %v", err)
}
schemaMap := map[string]interface{}{
dbName + "." + collName: schemaDoc,
}
InsertEncryptedDocument.java
String dekId = "<paste-base-64-encoded-data-encryption-key-id>>";
Document jsonSchema = new Document().append("bsonType", "object").append("encryptMetadata",
new Document().append("keyId", new ArrayList<>((Arrays.asList(new Document().append("$binary", new Document()
.append("base64", dekId)
.append("subType", "04")))))))
.append("properties", new Document()
.append("ssn", new Document().append("encrypt", new Document()
.append("bsonType", "int")
.append("algorithm", "AEAD_AES_256_CBC_HMAC_SHA_512-Deterministic")))
.append("bloodType", new Document().append("encrypt", new Document()
.append("bsonType", "string")
.append("algorithm", "AEAD_AES_256_CBC_HMAC_SHA_512-Random")))
.append("medicalRecords", new Document().append("encrypt", new Document()
.append("bsonType", "array")
.append("algorithm", "AEAD_AES_256_CBC_HMAC_SHA_512-Random")))
.append("insurance", new Document()
.append("bsonType", "object")
.append("properties",
new Document().append("policyNumber", new Document().append("encrypt", new Document()
.append("bsonType", "int")
.append("algorithm", "AEAD_AES_256_CBC_HMAC_SHA_512-Deterministic"))))));
HashMap<String, BsonDocument> schemaMap = new HashMap<String, BsonDocument>();
schemaMap.put("medicalRecords.patients", BsonDocument.parse(jsonSchema.toJson()));
insert_encrypted_document.js
dataKey = "<Your base64 DEK ID>";
const schema = {
bsonType: "object",
encryptMetadata: {
keyId: [new Binary(Buffer.from(dataKey, "base64"), 4)],
},
properties: {
insurance: {
bsonType: "object",
properties: {
policyNumber: {
encrypt: {
bsonType: "int",
algorithm: "AEAD_AES_256_CBC_HMAC_SHA_512-Deterministic",
},
},
},
},
medicalRecords: {
encrypt: {
bsonType: "array",
algorithm: "AEAD_AES_256_CBC_HMAC_SHA_512-Random",
},
},
bloodType: {
encrypt: {
bsonType: "string",
algorithm: "AEAD_AES_256_CBC_HMAC_SHA_512-Random",
},
},
ssn: {
encrypt: {
bsonType: "int",
algorithm: "AEAD_AES_256_CBC_HMAC_SHA_512-Deterministic",
},
},
},
};
var patientSchema = {};
patientSchema[namespace] = schema;
insert_encrypted_document.py
dek_id = b"<paste-base-64-encoded-data-encryption-key-id>"
json_schema = {
"bsonType": "object",
"encryptMetadata": {"keyId": [Binary(base64.b64decode(dek_id), UUID_SUBTYPE)]},
"properties": {
"insurance": {
"bsonType": "object",
"properties": {
"policyNumber": {
"encrypt": {
"bsonType": "int",
"algorithm": "AEAD_AES_256_CBC_HMAC_SHA_512-Deterministic",
}
}
},
},
"medicalRecords": {
"encrypt": {
"bsonType": "array",
"algorithm": "AEAD_AES_256_CBC_HMAC_SHA_512-Random",
}
},
"bloodType": {
"encrypt": {
"bsonType": "string",
"algorithm": "AEAD_AES_256_CBC_HMAC_SHA_512-Random",
}
},
"ssn": {
"encrypt": {
"bsonType": "int",
"algorithm": "AEAD_AES_256_CBC_HMAC_SHA_512-Deterministic",
}
},
},
}
patient_schema = {"medicalRecords.patients": json_schema}
patient_schema = {"medicalRecords.patients": json_schema}
4
InsertEncryptedDocument.cs
var mongoBinariesPath = "<Full path to your Automatic Encryption Shared Library>";
var extraOptions = new Dictionary<string, object>()
{
{ "cryptSharedLibPath", mongoBinariesPath },
};
insert-encrypted-document.go
extraOptions := map[string]interface{}{
"cryptSharedLibPath": "<Full path to your Automatic Encryption Shared Library>",
}
InsertEncryptedDocument.java
Map<String, Object> extraOptions = new HashMap<String, Object>();
extraOptions.put("cryptSharedLibPath", "<Full path to your Automatic Encryption Shared Library>"));
insert_encrypted_document.js
const extraOptions = {
cryptSharedLibPath: "<Full path to your Automatic Encryption Shared Library>",
};
insert_encrypted_document.py
extra_options = {
"cryptSharedLibPath": "<Full path to your Automatic Encryption Shared Library>"
}

注意

自动加密选项

自动加密选项向自动加密共享库提供配置信息,这将修改应用程序在访问加密字段时的行为。

要了解有关自动加密共享库的更多信息,请参阅 CSFLE 的自动加密共享库页面。

5

使用以下自动加密设置实例化 MongoDB 客户端对象:

InsertEncryptedDocument.cs
var clientSettings = MongoClientSettings.FromConnectionString(connectionString);
var autoEncryptionOptions = new AutoEncryptionOptions(
keyVaultNamespace: keyVaultNamespace,
kmsProviders: kmsProviders,
schemaMap: schemaMap,
extraOptions: extraOptions
);
clientSettings.AutoEncryptionOptions = autoEncryptionOptions;
var secureClient = new MongoClient(clientSettings);
insert-encrypted-document.go
autoEncryptionOpts := options.AutoEncryption().
SetKmsProviders(kmsProviders).
SetKeyVaultNamespace(keyVaultNamespace).
SetSchemaMap(schemaMap).
SetExtraOptions(extraOptions)
secureClient, err := mongo.Connect(context.TODO(), options.Client().ApplyURI(uri).SetAutoEncryptionOptions(autoEncryptionOpts))
if err != nil {
return fmt.Errorf("Connect error for encrypted client: %v", err)
}
defer func() {
_ = secureClient.Disconnect(context.TODO())
}()
InsertEncryptedDocument.java
MongoClientSettings clientSettings = MongoClientSettings.builder()
.applyConnectionString(new ConnectionString(connectionString))
.autoEncryptionSettings(AutoEncryptionSettings.builder()
.keyVaultNamespace(keyVaultNamespace)
.kmsProviders(kmsProviders)
.schemaMap(schemaMap)
.extraOptions(extraOptions)
.build())
.build();
MongoClient mongoClientSecure = MongoClients.create(clientSettings);
insert_encrypted_document.js
const secureClient = new MongoClient(connectionString, {
useNewUrlParser: true,
useUnifiedTopology: true,
autoEncryption: {
keyVaultNamespace,
kmsProviders,
schemaMap: patientSchema,
extraOptions: extraOptions,
},
});
insert_encrypted_document.py
fle_opts = AutoEncryptionOpts(
kms_providers, key_vault_namespace, schema_map=patient_schema, **extra_options
)
secureClient = MongoClient(connection_string, auto_encryption_opts=fle_opts)
4

使用启用了 CSFLE 的MongoClient实例,通过以下代码片段将加密文档插入到medicalRecords.patients命名空间中:

InsertEncryptedDocument.cs
var sampleDocFields = new BsonDocument
{
{ "name", "Jon Doe" },
{ "ssn", 145014000 },
{ "bloodType", "AB-" },
{
"medicalRecords", new BsonArray
{
new BsonDocument("weight", 180),
new BsonDocument("bloodPressure", "120/80")
}
},
{
"insurance", new BsonDocument
{
{ "policyNumber", 123142 },
{ "provider", "MaestCare" }
}
}
};
// Construct an auto-encrypting client
var secureCollection = secureClient.GetDatabase(db).GetCollection<BsonDocument>(coll);
// Insert a document into the collection
secureCollection.InsertOne(sampleDocFields);
insert-encrypted-document.go
test_patient := map[string]interface{}{
"name": "Jon Doe",
"ssn": 241014209,
"bloodType": "AB+",
"medicalRecords": []map[string]interface{}{{
"weight": 180,
"bloodPressure": "120/80",
}},
"insurance": map[string]interface{}{
"provider": "MaestCare",
"policyNumber": 123142,
},
}
if _, err := secureClient.Database(dbName).Collection(collName).InsertOne(context.TODO(), test_patient); err != nil {
return fmt.Errorf("InsertOne error: %v", err)
}

注意

您可以将带有bson标签的结构体直接传递给驱动程序进行编码,而无需创建原始 BSON 文档。

InsertEncryptedDocument.java
ArrayList<Document> medicalRecords = new ArrayList<>();
medicalRecords.add(new Document().append("weight", "180"));
medicalRecords.add(new Document().append("bloodPressure", "120/80"));
Document insurance = new Document()
.append("policyNumber", 123142)
.append("provider", "MaestCare");
Document patient = new Document()
.append("name", "Jon Doe")
.append("ssn", 241014209)
.append("bloodType", "AB+")
.append("medicalRecords", medicalRecords)
.append("insurance", insurance);
mongoClientSecure.getDatabase(recordsDb).getCollection(recordsColl).insertOne(patient);
insert_encrypted_document.js
try {
const writeResult = await secureClient
.db(db)
.collection(coll)
.insertOne({
name: "Jon Doe",
ssn: 241014209,
bloodType: "AB+",
medicalRecords: [{ weight: 180, bloodPressure: "120/80" }],
insurance: {
policyNumber: 123142,
provider: "MaestCare",
},
});
} catch (writeError) {
console.error("writeError occurred:", writeError);
}
insert_encrypted_document.py
def insert_patient(
collection, name, ssn, blood_type, medical_records, policy_number, provider
):
insurance = {"policyNumber": policy_number, "provider": provider}
doc = {
"name": name,
"ssn": ssn,
"bloodType": blood_type,
"medicalRecords": medical_records,
"insurance": insurance,
}
collection.insert_one(doc)
medical_record = [{"weight": 180, "bloodPressure": "120/80"}]
insert_patient(
secureClient.medicalRecords.patients,
"Jon Doe",
241014209,
"AB+",
medical_record,
123142,
"MaestCare",
)

在您插入文档时,启用了 CSFLE 的客户端对文档字段进行加密,以使其类似于以下内容:

{
"_id": { "$oid": "<_id of your document>" },
"name": "Jon Doe",
"ssn": {
"$binary": "<cipher-text>",
"$type": "6"
},
"bloodType": {
"$binary": "<cipher-text>",
"$type": "6"
},
"medicalRecords": {
"$binary": "<cipher-text>",
"$type": "6"
},
"insurance": {
"provider": "MaestCare",
"policyNumber": {
"$binary": "<cipher-text>",
"$type": "6"
}
}
}

提示

请参阅:完整代码

要查看插入加密文档的完整代码,请参阅 我们的Github存储库

要查看插入加密文档的完整代码,请参阅 我们的Github存储库。

要查看插入加密文档的完整代码,请参阅 我们的Github存储库。

要查看插入加密文档的完整代码,请参阅 我们的Github存储库。

要查看插入加密文档的完整代码,请参阅 我们的Github存储库。

5

检索在本指南的“插入具有加密字段的文档”步骤中插入的加密文档。

为了显示 CSFLE 的功能,以下代码片段使用配置为自动 CSFLE 的客户端以及未配置为自动 CSFLE 的客户端来查询文档。

InsertEncryptedDocument.cs
Console.WriteLine("Finding a document with regular (non-encrypted) client.");
var filter = Builders<BsonDocument>.Filter.Eq("name", "Jon Doe");
var regularResult = regularCollection.Find(filter).Limit(1).ToList()[0];
Console.WriteLine($"\n{regularResult}\n");
Console.WriteLine("Finding a document with encrypted client, searching on an encrypted field");
var ssnFilter = Builders<BsonDocument>.Filter.Eq("ssn", 145014000);
var secureResult = secureCollection.Find(ssnFilter).Limit(1).First();
Console.WriteLine($"\n{secureResult}\n");
insert-encrypted-document.go
fmt.Println("Finding a document with regular (non-encrypted) client.")
var resultRegular bson.M
err = regularClient.Database(dbName).Collection(collName).FindOne(context.TODO(), bson.D{{"name", "Jon Doe"}}).Decode(&resultRegular)
if err != nil {
panic(err)
}
outputRegular, err := json.MarshalIndent(resultRegular, "", " ")
if err != nil {
panic(err)
}
fmt.Printf("%s\n", outputRegular)
fmt.Println("Finding a document with encrypted client, searching on an encrypted field")
var resultSecure bson.M
err = secureClient.Database(dbName).Collection(collName).FindOne(context.TODO(), bson.D{{"ssn", "241014209"}}).Decode(&resultSecure)
if err != nil {
panic(err)
}
outputSecure, err := json.MarshalIndent(resultSecure, "", " ")
if err != nil {
panic(err)
}
fmt.Printf("%s\n", outputSecure)
InsertEncryptedDocument.java
System.out.println("Finding a document with regular (non-encrypted) client.");
Document docRegular = mongoClientRegular.getDatabase(recordsDb).getCollection(recordsColl).find(eq("name", "Jon Doe")).first();
System.out.println(docRegular.toJson());
System.out.println("Finding a document with encrypted client, searching on an encrypted field");
Document docSecure = mongoClientSecure.getDatabase(recordsDb).getCollection(recordsColl).find(eq("ssn", 241014209)).first();
System.out.println(docSecure.toJson());
insert_encrypted_document.js
console.log("Finding a document with regular (non-encrypted) client.");
console.log(
await regularClient.db(db).collection(coll).findOne({ name: /Jon/ })
);
console.log(
"Finding a document with encrypted client, searching on an encrypted field"
);
console.log(
await secureClient.db(db).collection(coll).findOne({ ssn: "241014209" })
);
insert_encrypted_document.py
print("Finding a document with regular (non-encrypted) client.")
result = regularClient.medicalRecords.patients.find_one({"name": "Jon Doe"})
pprint.pprint(result)
print("Finding a document with encrypted client, searching on an encrypted field")
pprint.pprint(secureClient.medicalRecords.patients.find_one({"ssn": 241014209}))

上述代码片段的输出应如下所示:

Finding a document with regular (non-encrypted) client.
{
_id: new ObjectId("629a452e0861b3130887103a"),
name: 'Jon Doe',
ssn: new Binary(Buffer.from("0217482732d8014cdd9ffdd6e2966e5e7910c20697e5f4fa95710aafc9153f0a3dc769c8a132a604b468732ff1f4d8349ded3244b59cbfb41444a210f28b21ea1b6c737508d9d30e8baa30c1d8070c4d5e26", "hex"), 6),
bloodType: new Binary(Buffer.from("0217482732d8014cdd9ffdd6e2966e5e79022e238536dfd8caadb4d7751ac940e0f195addd7e5c67b61022d02faa90283ab69e02303c7e4001d1996128428bf037dea8bbf59fbb20c583cbcff2bf3e2519b4", "hex"), 6),
'key-id': 'demo-data-key',
medicalRecords: new Binary(Buffer.from("0217482732d8014cdd9ffdd6e2966e5e790405163a3207cff175455106f57eef14e5610c49a99bcbd14a7db9c5284e45e3ee30c149354015f941440bf54725d6492fb3b8704bc7c411cff6c868e4e13c58233c3d5ed9593eca4e4d027d76d3705b6d1f3b3c9e2ceee195fd944b553eb27eee69e5e67c338f146f8445995664980bf0", "hex"), 6),
insurance: {
policyNumber: new Binary(Buffer.from("0217482732d8014cdd9ffdd6e2966e5e79108decd85c05be3fec099e015f9d26d9234605dc959cc1a19b63072f7ffda99db38c7b487de0572a03b2139ac3ee163bcc40c8508f366ce92a5dd36e38b3c742f7", "hex"), 6),
provider: 'MaestCare'
}
}
Finding a document with encrypted client, searching on an encrypted field
{
_id: new ObjectId("629a452e0861b3130887103a"),
name: 'Jon Doe',
ssn: 241014209,
bloodType: 'AB+',
'key-id': 'demo-data-key',
medicalRecords: [ { weight: 180, bloodPressure: '120/80' } ],
insurance: { policyNumber: 123142, provider: 'MaestCare' }
}

提示

请参阅:完整代码

要查看查找加密文档的完整代码,请参阅 我们的Github存储库

要查看查找加密文档的完整代码,请参阅 我们的Github存储库。

要查看查找加密文档的完整代码,请参阅 我们的Github存储库。

要查看查找加密文档的完整代码,请参阅 我们的Github存储库。

要查看查找加密文档的完整代码,请参阅 我们的Github存储库。

如需了解 CSFLE 的工作原理,请参阅基础知识

如需详细了解本指南中提到的主题,请参阅以下链接:

后退

使用Amazon Web Services