Class ScheduleServiceClient (2.23.0-rc)

A service for creating and managing Vertex AI's Schedule resources to periodically launch shceudled runs to make API calls.

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

ScheduleServiceClient(ScheduleServiceClient const &)

Copy and move support

Parameter
NameDescription
ScheduleServiceClient const &

ScheduleServiceClient(ScheduleServiceClient &&)

Copy and move support

Parameter
NameDescription
ScheduleServiceClient &&

ScheduleServiceClient(std::shared_ptr< ScheduleServiceConnection >, Options)

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

Operators

operator=(ScheduleServiceClient const &)

Copy and move support

Parameter
NameDescription
ScheduleServiceClient const &
Returns
TypeDescription
ScheduleServiceClient &

operator=(ScheduleServiceClient &&)

Copy and move support

Parameter
NameDescription
ScheduleServiceClient &&
Returns
TypeDescription
ScheduleServiceClient &

Functions

CreateSchedule(std::string const &, google::cloud::aiplatform::v1::Schedule const &, Options)

Creates a Schedule.

Parameters
NameDescription
parent std::string const &

Required. The resource name of the Location to create the Schedule in. Format: projects/{project}/locations/{location}

schedule google::cloud::aiplatform::v1::Schedule const &

Required. The Schedule to create.

opts Options

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

Returns
TypeDescription
StatusOr< google::cloud::aiplatform::v1::Schedule >

the result of the RPC. The response message type (google.cloud.aiplatform.v1.Schedule) is mapped to a C++ class using the Protobuf mapping rules. If the request fails, the StatusOr contains the error details.

CreateSchedule(google::cloud::aiplatform::v1::CreateScheduleRequest const &, Options)

Creates a Schedule.

Parameters
NameDescription
request google::cloud::aiplatform::v1::CreateScheduleRequest 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.CreateScheduleRequest. 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
StatusOr< google::cloud::aiplatform::v1::Schedule >

the result of the RPC. The response message type (google.cloud.aiplatform.v1.Schedule) is mapped to a C++ class using the Protobuf mapping rules. If the request fails, the StatusOr contains the error details.

DeleteSchedule(std::string const &, Options)

Deletes a Schedule.

Parameters
NameDescription
name std::string const &

Required. The name of the Schedule resource to be deleted. Format: projects/{project}/locations/{location}/schedules/{schedule}

opts Options

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

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

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.DeleteOperationMetadata proto message. The C++ class representing this message is created by Protobuf, using the Protobuf mapping rules.

DeleteSchedule(google::cloud::aiplatform::v1::DeleteScheduleRequest const &, Options)

Deletes a Schedule.

Parameters
NameDescription
request google::cloud::aiplatform::v1::DeleteScheduleRequest 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.DeleteScheduleRequest. 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::DeleteOperationMetadata > >

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.DeleteOperationMetadata proto message. The C++ class representing this message is created by Protobuf, using the Protobuf mapping rules.

GetSchedule(std::string const &, Options)

Gets a Schedule.

Parameters
NameDescription
name std::string const &

Required. The name of the Schedule resource. Format: projects/{project}/locations/{location}/schedules/{schedule}

opts Options

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

Returns
TypeDescription
StatusOr< google::cloud::aiplatform::v1::Schedule >

the result of the RPC. The response message type (google.cloud.aiplatform.v1.Schedule) is mapped to a C++ class using the Protobuf mapping rules. If the request fails, the StatusOr contains the error details.

GetSchedule(google::cloud::aiplatform::v1::GetScheduleRequest const &, Options)

Gets a Schedule.

Parameters
NameDescription
request google::cloud::aiplatform::v1::GetScheduleRequest 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.GetScheduleRequest. 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
StatusOr< google::cloud::aiplatform::v1::Schedule >

the result of the RPC. The response message type (google.cloud.aiplatform.v1.Schedule) is mapped to a C++ class using the Protobuf mapping rules. If the request fails, the StatusOr contains the error details.

ListSchedules(std::string const &, Options)

Lists Schedules in a Location.

Parameters
NameDescription
parent std::string const &

Required. The resource name of the Location to list the Schedules from. 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::Schedule >

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.Schedule, or rather, the C++ class generated by Protobuf from that type. Please consult the Protobuf documentation for details on the Protobuf mapping rules.

ListSchedules(google::cloud::aiplatform::v1::ListSchedulesRequest, Options)

Lists Schedules in a Location.

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

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.ListSchedulesRequest. 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::Schedule >

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.Schedule, or rather, the C++ class generated by Protobuf from that type. Please consult the Protobuf documentation for details on the Protobuf mapping rules.

PauseSchedule(std::string const &, Options)

Pauses a Schedule.

Will mark Schedule.state to 'PAUSED'. If the schedule is paused, no new runs will be created. Already created runs will NOT be paused or canceled.

Parameters
NameDescription
name std::string const &

Required. The name of the Schedule resource to be paused. Format: projects/{project}/locations/{location}/schedules/{schedule}

opts Options

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

Returns
TypeDescription
Status

a Status object. If the request failed, the status contains the details of the failure.

PauseSchedule(google::cloud::aiplatform::v1::PauseScheduleRequest const &, Options)

Pauses a Schedule.

Will mark Schedule.state to 'PAUSED'. If the schedule is paused, no new runs will be created. Already created runs will NOT be paused or canceled.

Parameters
NameDescription
request google::cloud::aiplatform::v1::PauseScheduleRequest 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.PauseScheduleRequest. 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
Status

a Status object. If the request failed, the status contains the details of the failure.

ResumeSchedule(std::string const &, Options)

Resumes a paused Schedule to start scheduling new runs.

Will mark Schedule.state to 'ACTIVE'. Only paused Schedule can be resumed.

When the Schedule is resumed, new runs will be scheduled starting from the next execution time after the current time based on the time_specification in the Schedule. If [Schedule.catchUp][] is set up true, all missed runs will be scheduled for backfill first.

Parameters
NameDescription
name std::string const &

Required. The name of the Schedule resource to be resumed. Format: projects/{project}/locations/{location}/schedules/{schedule}

opts Options

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

Returns
TypeDescription
Status

a Status object. If the request failed, the status contains the details of the failure.

ResumeSchedule(std::string const &, bool, Options)

Resumes a paused Schedule to start scheduling new runs.

Will mark Schedule.state to 'ACTIVE'. Only paused Schedule can be resumed.

When the Schedule is resumed, new runs will be scheduled starting from the next execution time after the current time based on the time_specification in the Schedule. If [Schedule.catchUp][] is set up true, all missed runs will be scheduled for backfill first.

Parameters
NameDescription
name std::string const &

Required. The name of the Schedule resource to be resumed. Format: projects/{project}/locations/{location}/schedules/{schedule}

catch_up bool

Optional. Whether to backfill missed runs when the schedule is resumed from PAUSED state. If set to true, all missed runs will be scheduled. New runs will be scheduled after the backfill is complete. This will also update Schedule.catch_up field. Default to false.

opts Options

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

Returns
TypeDescription
Status

a Status object. If the request failed, the status contains the details of the failure.

ResumeSchedule(google::cloud::aiplatform::v1::ResumeScheduleRequest const &, Options)

Resumes a paused Schedule to start scheduling new runs.

Will mark Schedule.state to 'ACTIVE'. Only paused Schedule can be resumed.

When the Schedule is resumed, new runs will be scheduled starting from the next execution time after the current time based on the time_specification in the Schedule. If [Schedule.catchUp][] is set up true, all missed runs will be scheduled for backfill first.

Parameters
NameDescription
request google::cloud::aiplatform::v1::ResumeScheduleRequest 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.ResumeScheduleRequest. 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
Status

a Status object. If the request failed, the status contains the details of the failure.

UpdateSchedule(google::cloud::aiplatform::v1::Schedule const &, google::protobuf::FieldMask const &, Options)

Updates an active or paused Schedule.

When the Schedule is updated, new runs will be scheduled starting from the updated next execution time after the update time based on the time_specification in the updated Schedule. All unstarted runs before the update time will be skipped while already created runs will NOT be paused or canceled.

Parameters
NameDescription
schedule google::cloud::aiplatform::v1::Schedule const &

Required. The Schedule which replaces the resource on the server. The following restrictions will be applied:

  • The scheduled request type cannot be changed.
  • The non-empty fields cannot be unset.
  • The output_only fields will be ignored if specified.
update_mask google::protobuf::FieldMask const &

Required. The update mask applies to the resource. See google.protobuf.FieldMask.

opts Options

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

Returns
TypeDescription
StatusOr< google::cloud::aiplatform::v1::Schedule >

the result of the RPC. The response message type (google.cloud.aiplatform.v1.Schedule) is mapped to a C++ class using the Protobuf mapping rules. If the request fails, the StatusOr contains the error details.

UpdateSchedule(google::cloud::aiplatform::v1::UpdateScheduleRequest const &, Options)

Updates an active or paused Schedule.

When the Schedule is updated, new runs will be scheduled starting from the updated next execution time after the update time based on the time_specification in the updated Schedule. All unstarted runs before the update time will be skipped while already created runs will NOT be paused or canceled.

Parameters
NameDescription
request google::cloud::aiplatform::v1::UpdateScheduleRequest 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.UpdateScheduleRequest. 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
StatusOr< google::cloud::aiplatform::v1::Schedule >

the result of the RPC. The response message type (google.cloud.aiplatform.v1.Schedule) is mapped to a C++ class using the Protobuf mapping rules. If the request fails, the StatusOr contains the error details.