Class MigrationServiceClient (2.23.0-rc)

A service that migrates resources from automl.googleapis.com, datalabeling.googleapis.com and ml.googleapis.com to Vertex AI.

Equality

Instances of this class created via copy-construction or copy-assignment always compare equal. Instances created with equal std::shared_ptr<*Connection> objects compare equal. Objects that compare equal share the same underlying resources.

Performance

Creating a new instance of this class is a relatively expensive operation, new objects establish new connections to the service. In contrast, copy-construction, move-construction, and the corresponding assignment operations are relatively efficient as the copies share all underlying resources.

Thread Safety

Concurrent access to different instances of this class, even if they compare equal, is guaranteed to work. Two or more threads operating on the same instance of this class is not guaranteed to work. Since copy-construction and move-construction is a relatively efficient operation, consider using such a copy when using this class from multiple threads.

Constructors

MigrationServiceClient(MigrationServiceClient const &)

Copy and move support

Parameter
NameDescription
MigrationServiceClient const &

MigrationServiceClient(MigrationServiceClient &&)

Copy and move support

Parameter
NameDescription
MigrationServiceClient &&

MigrationServiceClient(std::shared_ptr< MigrationServiceConnection >, Options)

Parameters
NameDescription
connection std::shared_ptr< MigrationServiceConnection >
opts Options

Operators

operator=(MigrationServiceClient const &)

Copy and move support

Parameter
NameDescription
MigrationServiceClient const &
Returns
TypeDescription
MigrationServiceClient &

operator=(MigrationServiceClient &&)

Copy and move support

Parameter
NameDescription
MigrationServiceClient &&
Returns
TypeDescription
MigrationServiceClient &

Functions

SearchMigratableResources(std::string const &, Options)

Searches all of the resources in automl.googleapis.com, datalabeling.googleapis.com and ml.googleapis.com that can be migrated to Vertex AI's given location.

Parameters
NameDescription
parent std::string const &

Required. The location that the migratable resources should be searched from. It's the Vertex AI location that the resources can be migrated to, not the resources' original location. Format: projects/{project}/locations/{location}

opts Options

Optional. Override the class-level options, such as retry and backoff policies.

Returns
TypeDescription
StreamRange< google::cloud::aiplatform::v1::MigratableResource >

a StreamRange to iterate of the results. See the documentation of this type for details. In brief, this class has begin() and end() member functions returning a iterator class meeting the input iterator requirements. The value type for this iterator is a StatusOr as the iteration may fail even after some values are retrieved successfully, for example, if there is a network disconnect. An empty set of results does not indicate an error, it indicates that there are no resources meeting the request criteria. On a successful iteration the StatusOr<T> contains elements of type google.cloud.aiplatform.v1.MigratableResource, or rather, the C++ class generated by Protobuf from that type. Please consult the Protobuf documentation for details on the Protobuf mapping rules.

SearchMigratableResources(google::cloud::aiplatform::v1::SearchMigratableResourcesRequest, Options)

Searches all of the resources in automl.googleapis.com, datalabeling.googleapis.com and ml.googleapis.com that can be migrated to Vertex AI's given location.

Parameters
NameDescription
request google::cloud::aiplatform::v1::SearchMigratableResourcesRequest

Unary RPCs, such as the one wrapped by this function, receive a single request proto message which includes all the inputs for the RPC. In this case, the proto message is a google.cloud.aiplatform.v1.SearchMigratableResourcesRequest. Proto messages are converted to C++ classes by Protobuf, using the Protobuf mapping rules.

opts Options

Optional. Override the class-level options, such as retry and backoff policies.

Returns
TypeDescription
StreamRange< google::cloud::aiplatform::v1::MigratableResource >

a StreamRange to iterate of the results. See the documentation of this type for details. In brief, this class has begin() and end() member functions returning a iterator class meeting the input iterator requirements. The value type for this iterator is a StatusOr as the iteration may fail even after some values are retrieved successfully, for example, if there is a network disconnect. An empty set of results does not indicate an error, it indicates that there are no resources meeting the request criteria. On a successful iteration the StatusOr<T> contains elements of type google.cloud.aiplatform.v1.MigratableResource, or rather, the C++ class generated by Protobuf from that type. Please consult the Protobuf documentation for details on the Protobuf mapping rules.

BatchMigrateResources(std::string const &, std::vector< google::cloud::aiplatform::v1::MigrateResourceRequest > const &, Options)

Batch migrates resources from ml.googleapis.com, automl.googleapis.com, and datalabeling.googleapis.com to Vertex AI.

Parameters
NameDescription
parent std::string const &

Required. The location of the migrated resource will live in. Format: projects/{project}/locations/{location}

migrate_resource_requests std::vector< google::cloud::aiplatform::v1::MigrateResourceRequest > const &

Required. The request messages specifying the resources to migrate. They must be in the same location as the destination. Up to 50 resources can be migrated in one batch.

opts Options

Optional. Override the class-level options, such as retry and backoff policies.

Returns
TypeDescription
future< StatusOr< google::cloud::aiplatform::v1::BatchMigrateResourcesResponse > >

A future that becomes satisfied when the LRO (Long Running Operation) completes or the polling policy in effect for this call is exhausted. The future is satisfied with an error if the LRO completes with an error or the polling policy is exhausted. In this case the StatusOr returned by the future contains the error. If the LRO completes successfully the value of the future contains the LRO's result. For this RPC the result is a google.cloud.aiplatform.v1.BatchMigrateResourcesResponse proto message. The C++ class representing this message is created by Protobuf, using the Protobuf mapping rules.

BatchMigrateResources(google::cloud::aiplatform::v1::BatchMigrateResourcesRequest const &, Options)

Batch migrates resources from ml.googleapis.com, automl.googleapis.com, and datalabeling.googleapis.com to Vertex AI.

Parameters
NameDescription
request google::cloud::aiplatform::v1::BatchMigrateResourcesRequest const &

Unary RPCs, such as the one wrapped by this function, receive a single request proto message which includes all the inputs for the RPC. In this case, the proto message is a google.cloud.aiplatform.v1.BatchMigrateResourcesRequest. Proto messages are converted to C++ classes by Protobuf, using the Protobuf mapping rules.

opts Options

Optional. Override the class-level options, such as retry and backoff policies.

Returns
TypeDescription
future< StatusOr< google::cloud::aiplatform::v1::BatchMigrateResourcesResponse > >

A future that becomes satisfied when the LRO (Long Running Operation) completes or the polling policy in effect for this call is exhausted. The future is satisfied with an error if the LRO completes with an error or the polling policy is exhausted. In this case the StatusOr returned by the future contains the error. If the LRO completes successfully the value of the future contains the LRO's result. For this RPC the result is a google.cloud.aiplatform.v1.BatchMigrateResourcesResponse proto message. The C++ class representing this message is created by Protobuf, using the Protobuf mapping rules.