Class SearchTuningServiceClient (0.35.0)

GitHub RepositoryProduct Reference

Service Description: Service for search tuning.

This class provides the ability to make remote calls to the backing service through method calls that map to API methods. Sample code to get started:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (SearchTuningServiceClient searchTuningServiceClient = SearchTuningServiceClient.create()) {
   TrainCustomModelRequest request =
       TrainCustomModelRequest.newBuilder()
           .setDataStore(
               DataStoreName.ofProjectLocationCollectionDataStoreName(
                       "[PROJECT]", "[LOCATION]", "[COLLECTION]", "[DATA_STORE]")
                   .toString())
           .setModelType("modelType-2010627581")
           .setErrorConfig(ImportErrorConfig.newBuilder().build())
           .build();
   TrainCustomModelResponse response =
       searchTuningServiceClient.trainCustomModelAsync(request).get();
 }
 

Note: close() needs to be called on the SearchTuningServiceClient object to clean up resources such as threads. In the example above, try-with-resources is used, which automatically calls close().

Methods
MethodDescriptionMethod Variants

TrainCustomModel

Trains a custom model.

Request object method variants only take one parameter, a request object, which must be constructed before the call.

  • trainCustomModelAsync(TrainCustomModelRequest request)

Callable method variants take no parameters and return an immutable API callable object, which can be used to initiate calls to the service.

  • trainCustomModelOperationCallable()

  • trainCustomModelCallable()

See the individual methods for example code.

Many parameters require resource names to be formatted in a particular way. To assist with these names, this class includes a format method for each type of name, and additionally a parse method to extract the individual identifiers contained within names that are returned.

This class can be customized by passing in a custom instance of SearchTuningServiceSettings to create(). For example:

To customize credentials:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 SearchTuningServiceSettings searchTuningServiceSettings =
     SearchTuningServiceSettings.newBuilder()
         .setCredentialsProvider(FixedCredentialsProvider.create(myCredentials))
         .build();
 SearchTuningServiceClient searchTuningServiceClient =
     SearchTuningServiceClient.create(searchTuningServiceSettings);
 

To customize the endpoint:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 SearchTuningServiceSettings searchTuningServiceSettings =
     SearchTuningServiceSettings.newBuilder().setEndpoint(myEndpoint).build();
 SearchTuningServiceClient searchTuningServiceClient =
     SearchTuningServiceClient.create(searchTuningServiceSettings);
 

To use REST (HTTP1.1/JSON) transport (instead of gRPC) for sending and receiving requests over the wire:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 SearchTuningServiceSettings searchTuningServiceSettings =
     SearchTuningServiceSettings.newHttpJsonBuilder().build();
 SearchTuningServiceClient searchTuningServiceClient =
     SearchTuningServiceClient.create(searchTuningServiceSettings);
 

Please refer to the GitHub repository's samples for more quickstart code snippets.

Inheritance

java.lang.Object > SearchTuningServiceClient

Static Methods

create()

public static final SearchTuningServiceClient create()

Constructs an instance of SearchTuningServiceClient with default settings.

Returns
TypeDescription
SearchTuningServiceClient
Exceptions
TypeDescription
IOException

create(SearchTuningServiceSettings settings)

public static final SearchTuningServiceClient create(SearchTuningServiceSettings settings)

Constructs an instance of SearchTuningServiceClient, using the given settings. The channels are created based on the settings passed in, or defaults for any settings that are not set.

Parameter
NameDescription
settingsSearchTuningServiceSettings
Returns
TypeDescription
SearchTuningServiceClient
Exceptions
TypeDescription
IOException

create(SearchTuningServiceStub stub)

public static final SearchTuningServiceClient create(SearchTuningServiceStub stub)

Constructs an instance of SearchTuningServiceClient, using the given stub for making calls. This is for advanced usage - prefer using create(SearchTuningServiceSettings).

Parameter
NameDescription
stubSearchTuningServiceStub
Returns
TypeDescription
SearchTuningServiceClient

Constructors

SearchTuningServiceClient(SearchTuningServiceSettings settings)

protected SearchTuningServiceClient(SearchTuningServiceSettings settings)

Constructs an instance of SearchTuningServiceClient, using the given settings. This is protected so that it is easy to make a subclass, but otherwise, the static factory methods should be preferred.

Parameter
NameDescription
settingsSearchTuningServiceSettings

SearchTuningServiceClient(SearchTuningServiceStub stub)

protected SearchTuningServiceClient(SearchTuningServiceStub stub)
Parameter
NameDescription
stubSearchTuningServiceStub

Methods

awaitTermination(long duration, TimeUnit unit)

public boolean awaitTermination(long duration, TimeUnit unit)
Parameters
NameDescription
durationlong
unitTimeUnit
Returns
TypeDescription
boolean
Exceptions
TypeDescription
InterruptedException

close()

public final void close()

getHttpJsonOperationsClient()

public final OperationsClient getHttpJsonOperationsClient()

Returns the OperationsClient that can be used to query the status of a long-running operation returned by another API method call.

Returns
TypeDescription
OperationsClient

getOperationsClient()

public final OperationsClient getOperationsClient()

Returns the OperationsClient that can be used to query the status of a long-running operation returned by another API method call.

Returns
TypeDescription
OperationsClient

getSettings()

public final SearchTuningServiceSettings getSettings()
Returns
TypeDescription
SearchTuningServiceSettings

getStub()

public SearchTuningServiceStub getStub()
Returns
TypeDescription
SearchTuningServiceStub

isShutdown()

public boolean isShutdown()
Returns
TypeDescription
boolean

isTerminated()

public boolean isTerminated()
Returns
TypeDescription
boolean

shutdown()

public void shutdown()

shutdownNow()

public void shutdownNow()

trainCustomModelAsync(TrainCustomModelRequest request)

public final OperationFuture<TrainCustomModelResponse,TrainCustomModelMetadata> trainCustomModelAsync(TrainCustomModelRequest request)

Trains a custom model.

Sample code:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (SearchTuningServiceClient searchTuningServiceClient = SearchTuningServiceClient.create()) {
   TrainCustomModelRequest request =
       TrainCustomModelRequest.newBuilder()
           .setDataStore(
               DataStoreName.ofProjectLocationCollectionDataStoreName(
                       "[PROJECT]", "[LOCATION]", "[COLLECTION]", "[DATA_STORE]")
                   .toString())
           .setModelType("modelType-2010627581")
           .setErrorConfig(ImportErrorConfig.newBuilder().build())
           .build();
   TrainCustomModelResponse response =
       searchTuningServiceClient.trainCustomModelAsync(request).get();
 }
 
Parameter
NameDescription
requestTrainCustomModelRequest

The request object containing all of the parameters for the API call.

Returns
TypeDescription
OperationFuture<TrainCustomModelResponse,TrainCustomModelMetadata>

trainCustomModelCallable()

public final UnaryCallable<TrainCustomModelRequest,Operation> trainCustomModelCallable()

Trains a custom model.

Sample code:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (SearchTuningServiceClient searchTuningServiceClient = SearchTuningServiceClient.create()) {
   TrainCustomModelRequest request =
       TrainCustomModelRequest.newBuilder()
           .setDataStore(
               DataStoreName.ofProjectLocationCollectionDataStoreName(
                       "[PROJECT]", "[LOCATION]", "[COLLECTION]", "[DATA_STORE]")
                   .toString())
           .setModelType("modelType-2010627581")
           .setErrorConfig(ImportErrorConfig.newBuilder().build())
           .build();
   ApiFuture<Operation> future =
       searchTuningServiceClient.trainCustomModelCallable().futureCall(request);
   // Do something.
   Operation response = future.get();
 }
 
Returns
TypeDescription
UnaryCallable<TrainCustomModelRequest,Operation>

trainCustomModelOperationCallable()

public final OperationCallable<TrainCustomModelRequest,TrainCustomModelResponse,TrainCustomModelMetadata> trainCustomModelOperationCallable()

Trains a custom model.

Sample code:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (SearchTuningServiceClient searchTuningServiceClient = SearchTuningServiceClient.create()) {
   TrainCustomModelRequest request =
       TrainCustomModelRequest.newBuilder()
           .setDataStore(
               DataStoreName.ofProjectLocationCollectionDataStoreName(
                       "[PROJECT]", "[LOCATION]", "[COLLECTION]", "[DATA_STORE]")
                   .toString())
           .setModelType("modelType-2010627581")
           .setErrorConfig(ImportErrorConfig.newBuilder().build())
           .build();
   OperationFuture<TrainCustomModelResponse, TrainCustomModelMetadata> future =
       searchTuningServiceClient.trainCustomModelOperationCallable().futureCall(request);
   // Do something.
   TrainCustomModelResponse response = future.get();
 }
 
Returns
TypeDescription
OperationCallable<TrainCustomModelRequest,TrainCustomModelResponse,TrainCustomModelMetadata>