Interface MachineLearningAsyncWaiter

All Superinterfaces:

AutoCloseable, SdkAutoCloseable

@Generated("software.amazon.awssdk:codegen")
@ThreadSafe
@Immutable
public interface MachineLearningAsyncWaiter
extends SdkAutoCloseable

Waiter utility class that polls a resource until a desired state is reached or until it is determined that the resource will never enter into the desired state. This can be created using the static builder() method

Nested Class Summary

Nested Classes

Modifier and Type	Interface	Description
static interface	MachineLearningAsyncWaiter.Builder

Method Summary

Modifier and Type	Method	Description
static MachineLearningAsyncWaiter.Builder	builder()	Create a builder that can be used to configure and create a MachineLearningAsyncWaiter.
static MachineLearningAsyncWaiter	create()	Create an instance of MachineLearningAsyncWaiter with the default configuration.
default CompletableFuture<WaiterResponse<DescribeBatchPredictionsResponse>>	waitUntilBatchPredictionAvailable(Consumer<DescribeBatchPredictionsRequest.Builder> describeBatchPredictionsRequest)	Polls MachineLearningAsyncClient.describeBatchPredictions(software.amazon.awssdk.services.machinelearning.model.DescribeBatchPredictionsRequest) API until the desired condition BatchPredictionAvailable is met, or until it is determined that the resource will never enter into the desired state.
default CompletableFuture<WaiterResponse<DescribeBatchPredictionsResponse>>	waitUntilBatchPredictionAvailable(Consumer<DescribeBatchPredictionsRequest.Builder> describeBatchPredictionsRequest, Consumer<WaiterOverrideConfiguration.Builder> overrideConfig)	Polls MachineLearningAsyncClient.describeBatchPredictions(software.amazon.awssdk.services.machinelearning.model.DescribeBatchPredictionsRequest) API until the desired condition BatchPredictionAvailable is met, or until it is determined that the resource will never enter into the desired state.
default CompletableFuture<WaiterResponse<DescribeBatchPredictionsResponse>>	waitUntilBatchPredictionAvailable(DescribeBatchPredictionsRequest describeBatchPredictionsRequest)	Polls MachineLearningAsyncClient.describeBatchPredictions(software.amazon.awssdk.services.machinelearning.model.DescribeBatchPredictionsRequest) API until the desired condition BatchPredictionAvailable is met, or until it is determined that the resource will never enter into the desired state
default CompletableFuture<WaiterResponse<DescribeBatchPredictionsResponse>>	waitUntilBatchPredictionAvailable(DescribeBatchPredictionsRequest describeBatchPredictionsRequest, WaiterOverrideConfiguration overrideConfig)	Polls MachineLearningAsyncClient.describeBatchPredictions(software.amazon.awssdk.services.machinelearning.model.DescribeBatchPredictionsRequest) API until the desired condition BatchPredictionAvailable is met, or until it is determined that the resource will never enter into the desired state
default CompletableFuture<WaiterResponse<DescribeDataSourcesResponse>>	waitUntilDataSourceAvailable(Consumer<DescribeDataSourcesRequest.Builder> describeDataSourcesRequest)	Polls MachineLearningAsyncClient.describeDataSources(software.amazon.awssdk.services.machinelearning.model.DescribeDataSourcesRequest) API until the desired condition DataSourceAvailable is met, or until it is determined that the resource will never enter into the desired state.
default CompletableFuture<WaiterResponse<DescribeDataSourcesResponse>>	waitUntilDataSourceAvailable(Consumer<DescribeDataSourcesRequest.Builder> describeDataSourcesRequest, Consumer<WaiterOverrideConfiguration.Builder> overrideConfig)	Polls MachineLearningAsyncClient.describeDataSources(software.amazon.awssdk.services.machinelearning.model.DescribeDataSourcesRequest) API until the desired condition DataSourceAvailable is met, or until it is determined that the resource will never enter into the desired state.
default CompletableFuture<WaiterResponse<DescribeDataSourcesResponse>>	waitUntilDataSourceAvailable(DescribeDataSourcesRequest describeDataSourcesRequest)	Polls MachineLearningAsyncClient.describeDataSources(software.amazon.awssdk.services.machinelearning.model.DescribeDataSourcesRequest) API until the desired condition DataSourceAvailable is met, or until it is determined that the resource will never enter into the desired state
default CompletableFuture<WaiterResponse<DescribeDataSourcesResponse>>	waitUntilDataSourceAvailable(DescribeDataSourcesRequest describeDataSourcesRequest, WaiterOverrideConfiguration overrideConfig)	Polls MachineLearningAsyncClient.describeDataSources(software.amazon.awssdk.services.machinelearning.model.DescribeDataSourcesRequest) API until the desired condition DataSourceAvailable is met, or until it is determined that the resource will never enter into the desired state
default CompletableFuture<WaiterResponse<DescribeEvaluationsResponse>>	waitUntilEvaluationAvailable(Consumer<DescribeEvaluationsRequest.Builder> describeEvaluationsRequest)	Polls MachineLearningAsyncClient.describeEvaluations(software.amazon.awssdk.services.machinelearning.model.DescribeEvaluationsRequest) API until the desired condition EvaluationAvailable is met, or until it is determined that the resource will never enter into the desired state.
default CompletableFuture<WaiterResponse<DescribeEvaluationsResponse>>	waitUntilEvaluationAvailable(Consumer<DescribeEvaluationsRequest.Builder> describeEvaluationsRequest, Consumer<WaiterOverrideConfiguration.Builder> overrideConfig)	Polls MachineLearningAsyncClient.describeEvaluations(software.amazon.awssdk.services.machinelearning.model.DescribeEvaluationsRequest) API until the desired condition EvaluationAvailable is met, or until it is determined that the resource will never enter into the desired state.
default CompletableFuture<WaiterResponse<DescribeEvaluationsResponse>>	waitUntilEvaluationAvailable(DescribeEvaluationsRequest describeEvaluationsRequest)	Polls MachineLearningAsyncClient.describeEvaluations(software.amazon.awssdk.services.machinelearning.model.DescribeEvaluationsRequest) API until the desired condition EvaluationAvailable is met, or until it is determined that the resource will never enter into the desired state
default CompletableFuture<WaiterResponse<DescribeEvaluationsResponse>>	waitUntilEvaluationAvailable(DescribeEvaluationsRequest describeEvaluationsRequest, WaiterOverrideConfiguration overrideConfig)	Polls MachineLearningAsyncClient.describeEvaluations(software.amazon.awssdk.services.machinelearning.model.DescribeEvaluationsRequest) API until the desired condition EvaluationAvailable is met, or until it is determined that the resource will never enter into the desired state
default CompletableFuture<WaiterResponse<DescribeMlModelsResponse>>	waitUntilMLModelAvailable(Consumer<DescribeMlModelsRequest.Builder> describeMlModelsRequest)	Polls MachineLearningAsyncClient.describeMLModels(software.amazon.awssdk.services.machinelearning.model.DescribeMlModelsRequest) API until the desired condition MLModelAvailable is met, or until it is determined that the resource will never enter into the desired state.
default CompletableFuture<WaiterResponse<DescribeMlModelsResponse>>	waitUntilMLModelAvailable(Consumer<DescribeMlModelsRequest.Builder> describeMlModelsRequest, Consumer<WaiterOverrideConfiguration.Builder> overrideConfig)	Polls MachineLearningAsyncClient.describeMLModels(software.amazon.awssdk.services.machinelearning.model.DescribeMlModelsRequest) API until the desired condition MLModelAvailable is met, or until it is determined that the resource will never enter into the desired state.
default CompletableFuture<WaiterResponse<DescribeMlModelsResponse>>	waitUntilMLModelAvailable(DescribeMlModelsRequest describeMlModelsRequest)	Polls MachineLearningAsyncClient.describeMLModels(software.amazon.awssdk.services.machinelearning.model.DescribeMlModelsRequest) API until the desired condition MLModelAvailable is met, or until it is determined that the resource will never enter into the desired state
default CompletableFuture<WaiterResponse<DescribeMlModelsResponse>>	waitUntilMLModelAvailable(DescribeMlModelsRequest describeMlModelsRequest, WaiterOverrideConfiguration overrideConfig)	Polls MachineLearningAsyncClient.describeMLModels(software.amazon.awssdk.services.machinelearning.model.DescribeMlModelsRequest) API until the desired condition MLModelAvailable is met, or until it is determined that the resource will never enter into the desired state

Methods inherited from interface software.amazon.awssdk.utils.SdkAutoCloseable

close

Method Details

waitUntilBatchPredictionAvailable

default CompletableFuture<WaiterResponse<DescribeBatchPredictionsResponse>> waitUntilBatchPredictionAvailable(DescribeBatchPredictionsRequest describeBatchPredictionsRequest)

Polls MachineLearningAsyncClient.describeBatchPredictions(software.amazon.awssdk.services.machinelearning.model.DescribeBatchPredictionsRequest) API until the desired condition BatchPredictionAvailable is met, or until it is determined that the resource will never enter into the desired state

Parameters:

describeBatchPredictionsRequest - the request to be used for polling

Returns:

CompletableFuture containing the WaiterResponse. It completes successfully when the resource enters into a desired state or exceptionally when it is determined that the resource will never enter into the desired state.

waitUntilBatchPredictionAvailable

default CompletableFuture<WaiterResponse<DescribeBatchPredictionsResponse>> waitUntilBatchPredictionAvailable(Consumer<DescribeBatchPredictionsRequest.Builder> describeBatchPredictionsRequest)

Polls MachineLearningAsyncClient.describeBatchPredictions(software.amazon.awssdk.services.machinelearning.model.DescribeBatchPredictionsRequest) API until the desired condition BatchPredictionAvailable is met, or until it is determined that the resource will never enter into the desired state.

This is a convenience method to create an instance of the request builder without the need to create one manually using DescribeBatchPredictionsRequest.builder()

Parameters:

describeBatchPredictionsRequest - The consumer that will configure the request to be used for polling

Returns:

CompletableFuture of the WaiterResponse containing either a response or an exception that has matched with the waiter success condition

waitUntilBatchPredictionAvailable

default CompletableFuture<WaiterResponse<DescribeBatchPredictionsResponse>> waitUntilBatchPredictionAvailable(DescribeBatchPredictionsRequest describeBatchPredictionsRequest,
 WaiterOverrideConfiguration overrideConfig)

Polls MachineLearningAsyncClient.describeBatchPredictions(software.amazon.awssdk.services.machinelearning.model.DescribeBatchPredictionsRequest) API until the desired condition BatchPredictionAvailable is met, or until it is determined that the resource will never enter into the desired state

Parameters:

describeBatchPredictionsRequest - The request to be used for polling

overrideConfig - Per request override configuration for waiters

Returns:

WaiterResponse containing either a response or an exception that has matched with the waiter success condition

waitUntilBatchPredictionAvailable

default CompletableFuture<WaiterResponse<DescribeBatchPredictionsResponse>> waitUntilBatchPredictionAvailable(Consumer<DescribeBatchPredictionsRequest.Builder> describeBatchPredictionsRequest,
 Consumer<WaiterOverrideConfiguration.Builder> overrideConfig)

Polls MachineLearningAsyncClient.describeBatchPredictions(software.amazon.awssdk.services.machinelearning.model.DescribeBatchPredictionsRequest) API until the desired condition BatchPredictionAvailable is met, or until it is determined that the resource will never enter into the desired state.

This is a convenience method to create an instance of the request builder and instance of the override config builder

Parameters:

describeBatchPredictionsRequest - The consumer that will configure the request to be used for polling

overrideConfig - The consumer that will configure the per request override configuration for waiters

Returns:

WaiterResponse containing either a response or an exception that has matched with the waiter success condition

waitUntilDataSourceAvailable

default CompletableFuture<WaiterResponse<DescribeDataSourcesResponse>> waitUntilDataSourceAvailable(DescribeDataSourcesRequest describeDataSourcesRequest)

Polls MachineLearningAsyncClient.describeDataSources(software.amazon.awssdk.services.machinelearning.model.DescribeDataSourcesRequest) API until the desired condition DataSourceAvailable is met, or until it is determined that the resource will never enter into the desired state

Parameters:

describeDataSourcesRequest - the request to be used for polling

Returns:

CompletableFuture containing the WaiterResponse. It completes successfully when the resource enters into a desired state or exceptionally when it is determined that the resource will never enter into the desired state.

waitUntilDataSourceAvailable

default CompletableFuture<WaiterResponse<DescribeDataSourcesResponse>> waitUntilDataSourceAvailable(Consumer<DescribeDataSourcesRequest.Builder> describeDataSourcesRequest)

Polls MachineLearningAsyncClient.describeDataSources(software.amazon.awssdk.services.machinelearning.model.DescribeDataSourcesRequest) API until the desired condition DataSourceAvailable is met, or until it is determined that the resource will never enter into the desired state.

This is a convenience method to create an instance of the request builder without the need to create one manually using DescribeDataSourcesRequest.builder()

Parameters:

describeDataSourcesRequest - The consumer that will configure the request to be used for polling

Returns:

CompletableFuture of the WaiterResponse containing either a response or an exception that has matched with the waiter success condition

waitUntilDataSourceAvailable

default CompletableFuture<WaiterResponse<DescribeDataSourcesResponse>> waitUntilDataSourceAvailable(DescribeDataSourcesRequest describeDataSourcesRequest,
 WaiterOverrideConfiguration overrideConfig)

Polls MachineLearningAsyncClient.describeDataSources(software.amazon.awssdk.services.machinelearning.model.DescribeDataSourcesRequest) API until the desired condition DataSourceAvailable is met, or until it is determined that the resource will never enter into the desired state

Parameters:

describeDataSourcesRequest - The request to be used for polling

overrideConfig - Per request override configuration for waiters

Returns:

WaiterResponse containing either a response or an exception that has matched with the waiter success condition

waitUntilDataSourceAvailable

default CompletableFuture<WaiterResponse<DescribeDataSourcesResponse>> waitUntilDataSourceAvailable(Consumer<DescribeDataSourcesRequest.Builder> describeDataSourcesRequest,
 Consumer<WaiterOverrideConfiguration.Builder> overrideConfig)

Polls MachineLearningAsyncClient.describeDataSources(software.amazon.awssdk.services.machinelearning.model.DescribeDataSourcesRequest) API until the desired condition DataSourceAvailable is met, or until it is determined that the resource will never enter into the desired state.

This is a convenience method to create an instance of the request builder and instance of the override config builder

Parameters:

describeDataSourcesRequest - The consumer that will configure the request to be used for polling

overrideConfig - The consumer that will configure the per request override configuration for waiters

Returns:

WaiterResponse containing either a response or an exception that has matched with the waiter success condition

waitUntilEvaluationAvailable

default CompletableFuture<WaiterResponse<DescribeEvaluationsResponse>> waitUntilEvaluationAvailable(DescribeEvaluationsRequest describeEvaluationsRequest)

Polls MachineLearningAsyncClient.describeEvaluations(software.amazon.awssdk.services.machinelearning.model.DescribeEvaluationsRequest) API until the desired condition EvaluationAvailable is met, or until it is determined that the resource will never enter into the desired state

Parameters:

describeEvaluationsRequest - the request to be used for polling

Returns:

CompletableFuture containing the WaiterResponse. It completes successfully when the resource enters into a desired state or exceptionally when it is determined that the resource will never enter into the desired state.

waitUntilEvaluationAvailable

default CompletableFuture<WaiterResponse<DescribeEvaluationsResponse>> waitUntilEvaluationAvailable(Consumer<DescribeEvaluationsRequest.Builder> describeEvaluationsRequest)

Polls MachineLearningAsyncClient.describeEvaluations(software.amazon.awssdk.services.machinelearning.model.DescribeEvaluationsRequest) API until the desired condition EvaluationAvailable is met, or until it is determined that the resource will never enter into the desired state.

This is a convenience method to create an instance of the request builder without the need to create one manually using DescribeEvaluationsRequest.builder()

Parameters:

describeEvaluationsRequest - The consumer that will configure the request to be used for polling

Returns:

CompletableFuture of the WaiterResponse containing either a response or an exception that has matched with the waiter success condition

waitUntilEvaluationAvailable

default CompletableFuture<WaiterResponse<DescribeEvaluationsResponse>> waitUntilEvaluationAvailable(DescribeEvaluationsRequest describeEvaluationsRequest,
 WaiterOverrideConfiguration overrideConfig)

Polls MachineLearningAsyncClient.describeEvaluations(software.amazon.awssdk.services.machinelearning.model.DescribeEvaluationsRequest) API until the desired condition EvaluationAvailable is met, or until it is determined that the resource will never enter into the desired state

Parameters:

describeEvaluationsRequest - The request to be used for polling

overrideConfig - Per request override configuration for waiters

Returns:

WaiterResponse containing either a response or an exception that has matched with the waiter success condition

waitUntilEvaluationAvailable

default CompletableFuture<WaiterResponse<DescribeEvaluationsResponse>> waitUntilEvaluationAvailable(Consumer<DescribeEvaluationsRequest.Builder> describeEvaluationsRequest,
 Consumer<WaiterOverrideConfiguration.Builder> overrideConfig)

Polls MachineLearningAsyncClient.describeEvaluations(software.amazon.awssdk.services.machinelearning.model.DescribeEvaluationsRequest) API until the desired condition EvaluationAvailable is met, or until it is determined that the resource will never enter into the desired state.

This is a convenience method to create an instance of the request builder and instance of the override config builder

Parameters:

describeEvaluationsRequest - The consumer that will configure the request to be used for polling

overrideConfig - The consumer that will configure the per request override configuration for waiters

Returns:

WaiterResponse containing either a response or an exception that has matched with the waiter success condition

waitUntilMLModelAvailable

default CompletableFuture<WaiterResponse<DescribeMlModelsResponse>> waitUntilMLModelAvailable(DescribeMlModelsRequest describeMlModelsRequest)

Polls MachineLearningAsyncClient.describeMLModels(software.amazon.awssdk.services.machinelearning.model.DescribeMlModelsRequest) API until the desired condition MLModelAvailable is met, or until it is determined that the resource will never enter into the desired state

Parameters:

describeMlModelsRequest - the request to be used for polling

Returns:

CompletableFuture containing the WaiterResponse. It completes successfully when the resource enters into a desired state or exceptionally when it is determined that the resource will never enter into the desired state.

waitUntilMLModelAvailable

default CompletableFuture<WaiterResponse<DescribeMlModelsResponse>> waitUntilMLModelAvailable(Consumer<DescribeMlModelsRequest.Builder> describeMlModelsRequest)

Polls MachineLearningAsyncClient.describeMLModels(software.amazon.awssdk.services.machinelearning.model.DescribeMlModelsRequest) API until the desired condition MLModelAvailable is met, or until it is determined that the resource will never enter into the desired state.

This is a convenience method to create an instance of the request builder without the need to create one manually using DescribeMlModelsRequest.builder()

Parameters:

describeMlModelsRequest - The consumer that will configure the request to be used for polling

Returns:

CompletableFuture of the WaiterResponse containing either a response or an exception that has matched with the waiter success condition

waitUntilMLModelAvailable

default CompletableFuture<WaiterResponse<DescribeMlModelsResponse>> waitUntilMLModelAvailable(DescribeMlModelsRequest describeMlModelsRequest,
 WaiterOverrideConfiguration overrideConfig)

Polls MachineLearningAsyncClient.describeMLModels(software.amazon.awssdk.services.machinelearning.model.DescribeMlModelsRequest) API until the desired condition MLModelAvailable is met, or until it is determined that the resource will never enter into the desired state

Parameters:

describeMlModelsRequest - The request to be used for polling

overrideConfig - Per request override configuration for waiters

Returns:

WaiterResponse containing either a response or an exception that has matched with the waiter success condition

waitUntilMLModelAvailable

default CompletableFuture<WaiterResponse<DescribeMlModelsResponse>> waitUntilMLModelAvailable(Consumer<DescribeMlModelsRequest.Builder> describeMlModelsRequest,
 Consumer<WaiterOverrideConfiguration.Builder> overrideConfig)

Polls MachineLearningAsyncClient.describeMLModels(software.amazon.awssdk.services.machinelearning.model.DescribeMlModelsRequest) API until the desired condition MLModelAvailable is met, or until it is determined that the resource will never enter into the desired state.

This is a convenience method to create an instance of the request builder and instance of the override config builder

Parameters:

describeMlModelsRequest - The consumer that will configure the request to be used for polling

overrideConfig - The consumer that will configure the per request override configuration for waiters

Returns:

WaiterResponse containing either a response or an exception that has matched with the waiter success condition

builder

static MachineLearningAsyncWaiter.Builder builder()

Create a builder that can be used to configure and create a MachineLearningAsyncWaiter.

Returns:

a builder

create

static MachineLearningAsyncWaiter create()

Create an instance of MachineLearningAsyncWaiter with the default configuration.

A default MachineLearningAsyncClient will be created to poll resources. It is recommended to share a single instance of the waiter created via this method. If it is not desirable to share a waiter instance, invoke SdkAutoCloseable.close() to release the resources once the waiter is not needed.

Returns:

an instance of MachineLearningAsyncWaiter