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通过 GCP 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
  • 注册 GCP 服务帐号
  • 创建 GCP 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
  • 创建数据加密密钥
  • 配置 MongoClient
  • 插入具有加密字段的文档
  • 检索具有加密字段的文档
  • 了解详情

本指南向您介绍如何使用 Google Cloud Key Management Service 构建支持客户端字段级加密 (CSFLE) 的应用程序。

在完成本指南中的步骤后,您应该具有:

  • 在 Google Cloud Platform KMS 上托管的 客户主密钥

  • 一个客户端应用程序,使用您的客户主密钥插入具有加密字段的文档。

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.

重要

使用 go buildgo run 构建或运行本指南中的Go代码时,请始终包含 cse构建约束以启用CSFLE 。 有关包含构建约束的示例,请参阅以下shell命令:

go run -tags cse insert-encrypted-document.go
// 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GCP 上创建服务帐号,请按照 创建服务帐号 Google 官方文档中的指南。

3

要在 上添加服务帐户密钥,请按照GCP 管理服务帐户密钥 Google 官方文档中的指南。

重要

创建服务帐户密钥时,您会收到私钥信息的一次性下载。 请务必以 PKCS12 或 JSON 格式下载此文件,以便在本教程后面使用。

重要

创建服务帐户密钥时,您会收到私钥信息的一次性下载。 请务必以 PKCS12 或 JSON 格式下载此文件,以便在本教程后面使用。

重要

创建服务帐户密钥时,您会收到私钥信息的一次性下载。 除非您使用附加的服务帐户,否则请确保以 PKCS 12或JSON格式下载此文件,以便在本教程后面使用。

重要

创建服务帐户密钥时,您会收到私钥信息的一次性下载。 请务必以 PKCS12 或 JSON 格式下载此文件,以便在本教程后面使用。

重要

创建服务帐户密钥时,您会收到私钥信息的一次性下载。 请务必以 PKCS12 或 JSON 格式下载此文件,以便在本教程后面使用。

2
1

创建密钥环和对称 密钥 来自 Google 官方文档的指南。

此密钥是您的客户主密钥 ( CMK )。

记录您的客户主密钥的以下详细信息,以便在本教程的后续步骤中使用。

字段
必需
说明
key_name
客户主密钥的标识符。
key_ring
您的密钥所属的密钥群组的标识符。
key_version
No
已命名密钥的版本。
位置
为密钥指定的区域。
端点
No
Google Cloud Platform KMS 的主机和可选端口。默认值为cloudkms.googleapis.com

选择与您在应用程序中使用的 MongoDB 驱动程序相对应的标签页,查看相关代码示例。

1

encryption.__keyVault 命名空间中的 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:

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

除非您使用附加的服务帐户,否则请将服务帐户档案添加到启用 CSFLE 的客户端,如以下代码示例所示:

var kmsProviders = new Dictionary<string, IReadOnlyDictionary<string, object>>();
var provider = "gcp";
var gcpKmsOptions = new Dictionary<string, object>
{
{ "privateKey", "<Your GCP Private Key>" },
{ "email", "<Your GCP Email>" },
};
kmsProviders.Add(provider, gcpKmsOptions);

除非您使用附加的服务帐户,否则请将服务帐户档案添加到启用 CSFLE 的客户端,如以下代码示例所示:

provider := "gcp"
kmsProviders := map[string]map[string]interface{}{
provider: {
"email": "<Your GCP Email>",
"privateKey": "<Your GCP Private Key>",
},
}

提示

附加服务帐户

如果使用的是 附加服务帐户 ,您可以允许其自动通过GCP KMS进行身份验证。

要自动进行凭证验证,请分配一个空映射,而不是包含您的GCP的映射,如以下代码所示:

String kmsProvider = "gcp";
Map<String, Map<String, Object>> kmsProviders = new HashMap<String, Map<String, Object>>();
Map<String, Object> providerDetails = new HashMap<>();
kmsProviders.put(kmsProvider, providerDetails);

添加此代码后,继续执行指南中的下一步。

除非您使用附加的服务帐户,否则请将服务帐户档案添加到启用 CSFLE 的客户端,如以下代码示例所示:

String kmsProvider = "gcp";
Map<String, Map<String, Object>> kmsProviders = new HashMap<String, Map<String, Object>>();
Map<String, Object> providerDetails = new HashMap<>();
providerDetails.put("email", "<Your GCP Email Address>");
providerDetails.put("privateKey", "<Your GCP Private Key>");
kmsProviders.put(kmsProvider, providerDetails);

除非您使用附加的服务帐户,否则请将服务帐户档案添加到启用 CSFLE 的客户端,如以下代码示例所示:

const provider = "gcp";
const kmsProviders = {
gcp: {
email: "<Your GCP Email>",
privateKey: "<Your GCP Private Key>",
},
};

除非您使用附加的服务帐户,否则请将服务帐户档案添加到启用 CSFLE 的客户端,如以下代码示例所示:

provider = "gcp"
kms_providers = {
provider: {"email": "<your GCP email>", "privateKey": "<your GCP private key>"}
}

提示

您在本指南的“创建 GCP 服务帐户”步骤中保存了包含服务帐户密钥凭证的文件。

如果以 JSON 格式下载档案,则可以使用以下命令提取私钥值,将<credentials-filename>替换为档案文件的名称。 以下命令要求您安装 OpenSSL:

cat <credentials-filename> | jq -r .private_key | openssl pkcs8 -topk8 -nocrypt -inform PEM -outform DER | base64

如果您下载了 PKCS12 格式的档案,则需要指定 GCP 服务帐户导入密码,并在使用以下命令访问密钥时添加 PEM 密码,将<credentials-filename>替换为您的档案文件的名称:

openssl pkcs12 -info -in <credentials-filename>
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详细信息。

var dataKeyOptions = new DataKeyOptions(
masterKey: new BsonDocument
{
{ "projectId", "Your GCP Project ID" },
{ "location", "Your GCP Key Location" } ,
{ "keyRing", "<Your GCP Key Ring>" },
{ "keyName", "<Your GCP Key Name>" },
});
masterKey := map[string]interface{}{
"projectId": "<Your GCP Project ID>",
"location": "<Your GCP Location>",
"keyRing": "<Your GCP Key Ring>",
"keyName": "<Your GCP Key Name>",
}
BsonDocument masterKeyProperties = new BsonDocument();
masterKeyProperties.put("provider", new BsonString(kmsProvider));
masterKeyProperties.put("projectId", new BsonString("<Your GCP Project ID>"));
masterKeyProperties.put("location", new BsonString("<Your GCP Key Location>"));
masterKeyProperties.put("keyRing", new BsonString("<Your GCP Key Ring>"));
masterKeyProperties.put("keyName", new BsonString("<Your GCP Key Name>"));
const masterKey = {
projectId: "<Your Project ID>",
location: "<Your Key Location>",
keyRing: "<Your Key Ring>",
keyName: "<Your Key Name>",
};
master_key = {
"projectId": "<GCP project identifier>",
"location": "<GCP region>",
"keyRing": "<GCP key ring name>",
"keyName": "<GCP key name>",
}
3

使用本教程的步骤 1 中声明的变量,生成数据加密密钥。

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}");
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))
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();
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();

注意

导入 ClientEncryption

使用 Node.js 驱动程序 v6.0 及更高版本时,必须从 mongodb 导入 ClientEncryption

对于较早的驱动程序版本,请从 mongodb-client-encryption 导入 ClientEncryption

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

要查看显示在使用 Google Cloud Key Management Service 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

提示

在与前面步骤中创建的文件不同的单独文件中,执行本教程中的其余步骤。

要查看该文件的完整代码,请参阅我们的 Github 存储库

要查看此文件的完整代码,请参阅 我们的 Github 存储库。

要查看此文件的完整代码,请参阅 我们的 Github 存储库。

要查看此文件的完整代码,请参阅 我们的 Github 存储库。

要查看此文件的完整代码,请参阅 我们的 Github 存储库。

1

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

var keyVaultNamespace = CollectionNamespace.FromFullName("encryption.__keyVault");
keyVaultNamespace := "encryption.__keyVault"
String keyVaultNamespace = "encryption.__keyVault";
const keyVaultNamespace = "encryption.__keyVault";
key_vault_namespace = "encryption.__keyVault"
2

除非您使用附加的服务帐户,否则请将服务帐户档案添加到启用 CSFLE 的客户端,如以下代码示例所示:

var kmsProviders = new Dictionary<string, IReadOnlyDictionary<string, object>>();
var provider = "gcp";
var gcpKmsOptions = new Dictionary<string, object>
{
{ "privateKey", "<Your GCP Private Key>" },
{ "email", "<Your GCP Email>" },
};
kmsProviders.Add(provider, gcpKmsOptions);

除非您使用附加的服务帐户,否则请将服务帐户档案添加到启用 CSFLE 的客户端,如以下代码示例所示:

kmsProviders := map[string]map[string]interface{}{
"gcp": {
"email": "<Your GCP Email>",
"privateKey": "<Your GCP Private Key>",
},
}

提示

附加服务帐户

如果使用的是 附加服务帐户 ,您可以允许其自动通过GCP KMS进行身份验证。

要自动进行凭证验证,请分配一个空映射,而不是包含您的GCP的映射,如以下代码所示:

String kmsProvider = "gcp";
Map<String, Map<String, Object>> kmsProviders = new HashMap<String, Map<String, Object>>();
Map<String, Object> providerDetails = new HashMap<>();
kmsProviders.put(kmsProvider, providerDetails);

添加此代码后,继续执行指南中的下一步。

除非您使用附加的服务帐户,否则请将服务帐户档案添加到启用 CSFLE 的客户端,如以下代码示例所示:

String kmsProvider = "gcp";
Map<String, Map<String, Object>> kmsProviders = new HashMap<String, Map<String, Object>>();
Map<String, Object> providerDetails = new HashMap<>();
providerDetails.put("email", "<Your GCP Email Address>");
providerDetails.put("privateKey", "<Your GCP Private Key>");
kmsProviders.put(kmsProvider, providerDetails);

除非您使用附加的服务帐户,否则请将服务帐户档案添加到启用 CSFLE 的客户端,如以下代码示例所示:

const kmsProviders = {
gcp: {
email: "<Your GCP Email>",
privateKey: "<Your GCP Private Key>",
},
};

除非您使用附加的服务帐户,否则请将服务帐户档案添加到启用 CSFLE 的客户端,如以下代码示例所示:

provider = "gcp"
kms_providers = {
"gcp": {"email": "<your GCP email>", "privateKey": "<your GCP private key>"}
}
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。

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);
dek_id := "<Your Base64 DEK ID>"
schema_template := `{
"bsonType": "object",
"encryptMetadata": {
"keyId": [
{
"$binary": {
"base64": "%s",
"subType": "04"
}
}
]
},
"properties": {
"insurance": {
"bsonType": "object",
"properties": {
"policyNumber": {
"encrypt": {
"bsonType": "int",
"algorithm": "AEAD_AES_256_CBC_HMAC_SHA_512-Deterministic"
}
}
}
},
"medicalRecords": {
"encrypt": {
"bsonType": "array",
"algorithm": "AEAD_AES_256_CBC_HMAC_SHA_512-Random"
}
},
"bloodType": {
"encrypt": {
"bsonType": "string",
"algorithm": "AEAD_AES_256_CBC_HMAC_SHA_512-Random"
}
},
"ssn": {
"encrypt": {
"bsonType": "int",
"algorithm": "AEAD_AES_256_CBC_HMAC_SHA_512-Deterministic"
}
}
}
}`
schema := fmt.Sprintf(schema_template, dek_id)
var schemaDoc bson.Raw
if err := bson.UnmarshalExtJSON([]byte(schema), true, &schemaDoc); err != nil {
return fmt.Errorf("UnmarshalExtJSON error: %v", err)
}
schemaMap := map[string]interface{}{
dbName + "." + collName: schemaDoc,
}
String dekId = "<paste-base-64-encoded-data-encryption-key-id>>";
Document jsonSchema = new Document().append("bsonType", "object").append("encryptMetadata",
new Document().append("keyId", new ArrayList<>((Arrays.asList(new Document().append("$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()));
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;
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}
4
var mongoBinariesPath = "<Full path to your Automatic Encryption Shared Library>";
var extraOptions = new Dictionary<string, object>()
{
{ "cryptSharedLibPath", mongoBinariesPath },
};
extraOptions := map[string]interface{}{
"cryptSharedLibPath": "<Full path to your Automatic Encryption Shared Library>",
}
Map<String, Object> extraOptions = new HashMap<String, Object>();
extraOptions.put("cryptSharedLibPath", "<Full path to your Automatic Encryption Shared Library>"));
const extraOptions = {
cryptSharedLibPath: "<Full path to your Automatic Encryption Shared Library>",
};
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,这些设置使用前面步骤中声明的变量:

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);
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())
}()
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);
const secureClient = new MongoClient(connectionString, {
useNewUrlParser: true,
useUnifiedTopology: true,
autoEncryption: {
keyVaultNamespace,
kmsProviders,
schemaMap: patientSchema,
extraOptions: extraOptions,
},
});
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具有加密字段的文档插入到 medicalRecords.patients 命名空间中:

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);
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。

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);
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);
}
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

要查看用于插入带加密字段的文档的完整代码,请访问我们的 Github 存储库

要查看用于插入带加密字段的文档的完整代码,请访问我们的 Github 存储库

要查看用于插入带加密字段的文档的完整代码,请访问我们的 Github 存储库

要查看用于插入带加密字段的文档的完整代码,请访问我们的 Github 存储库

要查看用于插入带加密字段的文档的完整代码,请访问我们的 Github 存储库

5

检索您在本指南的插入具有加密字段的文档步骤中插入的具有加密字段的文档。

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。

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");
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)
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());
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" })
);
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

要查看查找带有加密字段的文档的完整代码,请参阅我们的 Github 存储库

要查看查找带有加密字段的文档的完整代码,请访问我们的 Github 存储库

要查看查找带有加密字段的文档的完整代码,请访问我们的 Github 存储库

要查看查找带有加密字段的文档的完整代码,请访问我们的 Github 存储库

要查看查找带有加密字段的文档的完整代码,请访问我们的 Github 存储库

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Azure