Package com.google.cloud.datafusion.v1 (1.7.0)

The interfaces provided are listed below, along with usage samples.

DataFusionClient

Service Description: Service for creating and managing Data Fusion instances. Data Fusion enables ETL developers to build code-free, data integration pipelines via a point-and-click UI.

Sample for DataFusionClient:


 // 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 (DataFusionClient dataFusionClient = DataFusionClient.create()) {
   GetInstanceRequest request =
       GetInstanceRequest.newBuilder()
           .setName(InstanceName.of("[PROJECT]", "[LOCATION]", "[INSTANCE]").toString())
           .build();
   Instance response = dataFusionClient.getInstance(request);
 }

Classes

Accelerator

Identifies Data Fusion accelerators for an instance.

Protobuf type google.cloud.datafusion.v1.Accelerator

Accelerator.Builder

Identifies Data Fusion accelerators for an instance.

Protobuf type google.cloud.datafusion.v1.Accelerator

CreateInstanceRequest

Request message for creating a Data Fusion instance.

Protobuf type google.cloud.datafusion.v1.CreateInstanceRequest

CreateInstanceRequest.Builder

Request message for creating a Data Fusion instance.

Protobuf type google.cloud.datafusion.v1.CreateInstanceRequest

CryptoKeyConfig

The crypto key configuration. This field is used by the Customer-managed encryption keys (CMEK) feature.

Protobuf type google.cloud.datafusion.v1.CryptoKeyConfig

CryptoKeyConfig.Builder

The crypto key configuration. This field is used by the Customer-managed encryption keys (CMEK) feature.

Protobuf type google.cloud.datafusion.v1.CryptoKeyConfig

DataFusionClient

Service Description: Service for creating and managing Data Fusion instances. Data Fusion enables ETL developers to build code-free, data integration pipelines via a point-and-click UI.

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 (DataFusionClient dataFusionClient = DataFusionClient.create()) {
   GetInstanceRequest request =
       GetInstanceRequest.newBuilder()
           .setName(InstanceName.of("[PROJECT]", "[LOCATION]", "[INSTANCE]").toString())
           .build();
   Instance response = dataFusionClient.getInstance(request);
 }

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

The surface of this class includes several types of Java methods for each of the API's methods:

A "flattened" method. With this type of method, the fields of the request type have been converted into function parameters. It may be the case that not all fields are available as parameters, and not every API method will have a flattened method entry point.
A "request object" method. This type of method only takes one parameter, a request object, which must be constructed before the call. Not every API method will have a request object method.
A "callable" method. This type of method takes no parameters and returns an immutable API callable object, which can be used to initiate calls to the service.

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 DataFusionSettings 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
 DataFusionSettings dataFusionSettings =
     DataFusionSettings.newBuilder()
         .setCredentialsProvider(FixedCredentialsProvider.create(myCredentials))
         .build();
 DataFusionClient dataFusionClient = DataFusionClient.create(dataFusionSettings);

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
 DataFusionSettings dataFusionSettings =
     DataFusionSettings.newBuilder().setEndpoint(myEndpoint).build();
 DataFusionClient dataFusionClient = DataFusionClient.create(dataFusionSettings);

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
 DataFusionSettings dataFusionSettings = DataFusionSettings.newHttpJsonBuilder().build();
 DataFusionClient dataFusionClient = DataFusionClient.create(dataFusionSettings);

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

DataFusionClient.ListAvailableVersionsFixedSizeCollection

DataFusionClient.ListAvailableVersionsPage

DataFusionClient.ListAvailableVersionsPagedResponse