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The AWS Java SDK for Amazon Kinesis module holds the client classes that are used for communicating with Amazon Kinesis Service

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/*
 * Copyright 2019-2024 Amazon.com, Inc. or its affiliates. All Rights Reserved.
 * 
 * Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance with
 * the License. A copy of the License is located at
 * 
 * http://aws.amazon.com/apache2.0
 * 
 * or in the "license" file accompanying this file. This file is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
 * CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions
 * and limitations under the License.
 */
package com.amazonaws.services.kinesisanalytics;

import org.w3c.dom.*;

import java.net.*;
import java.util.*;

import javax.annotation.Generated;

import org.apache.commons.logging.*;

import com.amazonaws.*;
import com.amazonaws.annotation.SdkInternalApi;
import com.amazonaws.auth.*;

import com.amazonaws.handlers.*;
import com.amazonaws.http.*;
import com.amazonaws.internal.*;
import com.amazonaws.internal.auth.*;
import com.amazonaws.metrics.*;
import com.amazonaws.regions.*;
import com.amazonaws.transform.*;
import com.amazonaws.util.*;
import com.amazonaws.protocol.json.*;
import com.amazonaws.util.AWSRequestMetrics.Field;
import com.amazonaws.annotation.ThreadSafe;
import com.amazonaws.client.AwsSyncClientParams;
import com.amazonaws.client.builder.AdvancedConfig;

import com.amazonaws.services.kinesisanalytics.AmazonKinesisAnalyticsClientBuilder;

import com.amazonaws.AmazonServiceException;

import com.amazonaws.services.kinesisanalytics.model.*;

import com.amazonaws.services.kinesisanalytics.model.transform.*;

/**
 * Client for accessing Kinesis Analytics. All service calls made using this client are blocking, and will not return
 * until the service call completes.
 * 

* Amazon Kinesis Analytics *

* Overview *

* *

* This documentation is for version 1 of the Amazon Kinesis Data Analytics API, which only supports SQL applications. * Version 2 of the API supports SQL and Java applications. For more information about version 2, see Amazon Kinesis Data Analytics API V2 Documentation. *

*
*

* This is the Amazon Kinesis Analytics v1 API Reference. The Amazon Kinesis Analytics Developer Guide provides * additional information. *

*/ @ThreadSafe @Generated("com.amazonaws:aws-java-sdk-code-generator") public class AmazonKinesisAnalyticsClient extends AmazonWebServiceClient implements AmazonKinesisAnalytics { /** Provider for AWS credentials. */ private final AWSCredentialsProvider awsCredentialsProvider; private static final Log log = LogFactory.getLog(AmazonKinesisAnalytics.class); /** Default signing name for the service. */ private static final String DEFAULT_SIGNING_NAME = "kinesisanalytics"; /** Client configuration factory providing ClientConfigurations tailored to this client */ protected static final ClientConfigurationFactory configFactory = new ClientConfigurationFactory(); private final AdvancedConfig advancedConfig; private static final com.amazonaws.protocol.json.SdkJsonProtocolFactory protocolFactory = new com.amazonaws.protocol.json.SdkJsonProtocolFactory( new JsonClientMetadata() .withProtocolVersion("1.1") .withSupportsCbor(false) .withSupportsIon(false) .addErrorMetadata( new JsonErrorShapeMetadata().withErrorCode("ConcurrentModificationException").withExceptionUnmarshaller( com.amazonaws.services.kinesisanalytics.model.transform.ConcurrentModificationExceptionUnmarshaller.getInstance())) .addErrorMetadata( new JsonErrorShapeMetadata().withErrorCode("UnableToDetectSchemaException").withExceptionUnmarshaller( com.amazonaws.services.kinesisanalytics.model.transform.UnableToDetectSchemaExceptionUnmarshaller.getInstance())) .addErrorMetadata( new JsonErrorShapeMetadata().withErrorCode("ResourceInUseException").withExceptionUnmarshaller( com.amazonaws.services.kinesisanalytics.model.transform.ResourceInUseExceptionUnmarshaller.getInstance())) .addErrorMetadata( new JsonErrorShapeMetadata().withErrorCode("ResourceProvisionedThroughputExceededException").withExceptionUnmarshaller( com.amazonaws.services.kinesisanalytics.model.transform.ResourceProvisionedThroughputExceededExceptionUnmarshaller .getInstance())) .addErrorMetadata( new JsonErrorShapeMetadata().withErrorCode("LimitExceededException").withExceptionUnmarshaller( com.amazonaws.services.kinesisanalytics.model.transform.LimitExceededExceptionUnmarshaller.getInstance())) .addErrorMetadata( new JsonErrorShapeMetadata().withErrorCode("InvalidApplicationConfigurationException").withExceptionUnmarshaller( com.amazonaws.services.kinesisanalytics.model.transform.InvalidApplicationConfigurationExceptionUnmarshaller.getInstance())) .addErrorMetadata( new JsonErrorShapeMetadata().withErrorCode("TooManyTagsException").withExceptionUnmarshaller( com.amazonaws.services.kinesisanalytics.model.transform.TooManyTagsExceptionUnmarshaller.getInstance())) .addErrorMetadata( new JsonErrorShapeMetadata().withErrorCode("CodeValidationException").withExceptionUnmarshaller( com.amazonaws.services.kinesisanalytics.model.transform.CodeValidationExceptionUnmarshaller.getInstance())) .addErrorMetadata( new JsonErrorShapeMetadata().withErrorCode("InvalidArgumentException").withExceptionUnmarshaller( com.amazonaws.services.kinesisanalytics.model.transform.InvalidArgumentExceptionUnmarshaller.getInstance())) .addErrorMetadata( new JsonErrorShapeMetadata().withErrorCode("ResourceNotFoundException").withExceptionUnmarshaller( com.amazonaws.services.kinesisanalytics.model.transform.ResourceNotFoundExceptionUnmarshaller.getInstance())) .addErrorMetadata( new JsonErrorShapeMetadata().withErrorCode("UnsupportedOperationException").withExceptionUnmarshaller( com.amazonaws.services.kinesisanalytics.model.transform.UnsupportedOperationExceptionUnmarshaller.getInstance())) .addErrorMetadata( new JsonErrorShapeMetadata().withErrorCode("ServiceUnavailableException").withExceptionUnmarshaller( com.amazonaws.services.kinesisanalytics.model.transform.ServiceUnavailableExceptionUnmarshaller.getInstance())) .withBaseServiceExceptionClass(com.amazonaws.services.kinesisanalytics.model.AmazonKinesisAnalyticsException.class)); /** * Constructs a new client to invoke service methods on Kinesis Analytics. A credentials provider chain will be used * that searches for credentials in this order: *
    *
  • Environment Variables - AWS_ACCESS_KEY_ID and AWS_SECRET_KEY
  • *
  • Java System Properties - aws.accessKeyId and aws.secretKey
  • *
  • Instance profile credentials delivered through the Amazon EC2 metadata service
  • *
* *

* All service calls made using this new client object are blocking, and will not return until the service call * completes. * * @see DefaultAWSCredentialsProviderChain * @deprecated use {@link AmazonKinesisAnalyticsClientBuilder#defaultClient()} */ @Deprecated public AmazonKinesisAnalyticsClient() { this(DefaultAWSCredentialsProviderChain.getInstance(), configFactory.getConfig()); } /** * Constructs a new client to invoke service methods on Kinesis Analytics. A credentials provider chain will be used * that searches for credentials in this order: *

    *
  • Environment Variables - AWS_ACCESS_KEY_ID and AWS_SECRET_KEY
  • *
  • Java System Properties - aws.accessKeyId and aws.secretKey
  • *
  • Instance profile credentials delivered through the Amazon EC2 metadata service
  • *
* *

* All service calls made using this new client object are blocking, and will not return until the service call * completes. * * @param clientConfiguration * The client configuration options controlling how this client connects to Kinesis Analytics (ex: proxy * settings, retry counts, etc.). * * @see DefaultAWSCredentialsProviderChain * @deprecated use {@link AmazonKinesisAnalyticsClientBuilder#withClientConfiguration(ClientConfiguration)} */ @Deprecated public AmazonKinesisAnalyticsClient(ClientConfiguration clientConfiguration) { this(DefaultAWSCredentialsProviderChain.getInstance(), clientConfiguration); } /** * Constructs a new client to invoke service methods on Kinesis Analytics using the specified AWS account * credentials. * *

* All service calls made using this new client object are blocking, and will not return until the service call * completes. * * @param awsCredentials * The AWS credentials (access key ID and secret key) to use when authenticating with AWS services. * @deprecated use {@link AmazonKinesisAnalyticsClientBuilder#withCredentials(AWSCredentialsProvider)} for example: * {@code AmazonKinesisAnalyticsClientBuilder.standard().withCredentials(new AWSStaticCredentialsProvider(awsCredentials)).build();} */ @Deprecated public AmazonKinesisAnalyticsClient(AWSCredentials awsCredentials) { this(awsCredentials, configFactory.getConfig()); } /** * Constructs a new client to invoke service methods on Kinesis Analytics using the specified AWS account * credentials and client configuration options. * *

* All service calls made using this new client object are blocking, and will not return until the service call * completes. * * @param awsCredentials * The AWS credentials (access key ID and secret key) to use when authenticating with AWS services. * @param clientConfiguration * The client configuration options controlling how this client connects to Kinesis Analytics (ex: proxy * settings, retry counts, etc.). * @deprecated use {@link AmazonKinesisAnalyticsClientBuilder#withCredentials(AWSCredentialsProvider)} and * {@link AmazonKinesisAnalyticsClientBuilder#withClientConfiguration(ClientConfiguration)} */ @Deprecated public AmazonKinesisAnalyticsClient(AWSCredentials awsCredentials, ClientConfiguration clientConfiguration) { super(clientConfiguration); this.awsCredentialsProvider = new StaticCredentialsProvider(awsCredentials); this.advancedConfig = AdvancedConfig.EMPTY; init(); } /** * Constructs a new client to invoke service methods on Kinesis Analytics using the specified AWS account * credentials provider. * *

* All service calls made using this new client object are blocking, and will not return until the service call * completes. * * @param awsCredentialsProvider * The AWS credentials provider which will provide credentials to authenticate requests with AWS services. * @deprecated use {@link AmazonKinesisAnalyticsClientBuilder#withCredentials(AWSCredentialsProvider)} */ @Deprecated public AmazonKinesisAnalyticsClient(AWSCredentialsProvider awsCredentialsProvider) { this(awsCredentialsProvider, configFactory.getConfig()); } /** * Constructs a new client to invoke service methods on Kinesis Analytics using the specified AWS account * credentials provider and client configuration options. * *

* All service calls made using this new client object are blocking, and will not return until the service call * completes. * * @param awsCredentialsProvider * The AWS credentials provider which will provide credentials to authenticate requests with AWS services. * @param clientConfiguration * The client configuration options controlling how this client connects to Kinesis Analytics (ex: proxy * settings, retry counts, etc.). * @deprecated use {@link AmazonKinesisAnalyticsClientBuilder#withCredentials(AWSCredentialsProvider)} and * {@link AmazonKinesisAnalyticsClientBuilder#withClientConfiguration(ClientConfiguration)} */ @Deprecated public AmazonKinesisAnalyticsClient(AWSCredentialsProvider awsCredentialsProvider, ClientConfiguration clientConfiguration) { this(awsCredentialsProvider, clientConfiguration, null); } /** * Constructs a new client to invoke service methods on Kinesis Analytics using the specified AWS account * credentials provider, client configuration options, and request metric collector. * *

* All service calls made using this new client object are blocking, and will not return until the service call * completes. * * @param awsCredentialsProvider * The AWS credentials provider which will provide credentials to authenticate requests with AWS services. * @param clientConfiguration * The client configuration options controlling how this client connects to Kinesis Analytics (ex: proxy * settings, retry counts, etc.). * @param requestMetricCollector * optional request metric collector * @deprecated use {@link AmazonKinesisAnalyticsClientBuilder#withCredentials(AWSCredentialsProvider)} and * {@link AmazonKinesisAnalyticsClientBuilder#withClientConfiguration(ClientConfiguration)} and * {@link AmazonKinesisAnalyticsClientBuilder#withMetricsCollector(RequestMetricCollector)} */ @Deprecated public AmazonKinesisAnalyticsClient(AWSCredentialsProvider awsCredentialsProvider, ClientConfiguration clientConfiguration, RequestMetricCollector requestMetricCollector) { super(clientConfiguration, requestMetricCollector); this.awsCredentialsProvider = awsCredentialsProvider; this.advancedConfig = AdvancedConfig.EMPTY; init(); } public static AmazonKinesisAnalyticsClientBuilder builder() { return AmazonKinesisAnalyticsClientBuilder.standard(); } /** * Constructs a new client to invoke service methods on Kinesis Analytics using the specified parameters. * *

* All service calls made using this new client object are blocking, and will not return until the service call * completes. * * @param clientParams * Object providing client parameters. */ AmazonKinesisAnalyticsClient(AwsSyncClientParams clientParams) { this(clientParams, false); } /** * Constructs a new client to invoke service methods on Kinesis Analytics using the specified parameters. * *

* All service calls made using this new client object are blocking, and will not return until the service call * completes. * * @param clientParams * Object providing client parameters. */ AmazonKinesisAnalyticsClient(AwsSyncClientParams clientParams, boolean endpointDiscoveryEnabled) { super(clientParams); this.awsCredentialsProvider = clientParams.getCredentialsProvider(); this.advancedConfig = clientParams.getAdvancedConfig(); init(); } private void init() { setServiceNameIntern(DEFAULT_SIGNING_NAME); setEndpointPrefix(ENDPOINT_PREFIX); // calling this.setEndPoint(...) will also modify the signer accordingly setEndpoint("https://kinesisanalytics.us-east-1.amazonaws.com"); HandlerChainFactory chainFactory = new HandlerChainFactory(); requestHandler2s.addAll(chainFactory.newRequestHandlerChain("/com/amazonaws/services/kinesisanalytics/request.handlers")); requestHandler2s.addAll(chainFactory.newRequestHandler2Chain("/com/amazonaws/services/kinesisanalytics/request.handler2s")); requestHandler2s.addAll(chainFactory.getGlobalHandlers()); } /** * *

* This documentation is for version 1 of the Amazon Kinesis Data Analytics API, which only supports SQL * applications. Version 2 of the API supports SQL and Java applications. For more information about version 2, see * Amazon Kinesis Data Analytics API V2 Documentation. *

* *

* Adds a CloudWatch log stream to monitor application configuration errors. For more information about using * CloudWatch log streams with Amazon Kinesis Analytics applications, see Working with Amazon * CloudWatch Logs. *

* * @param addApplicationCloudWatchLoggingOptionRequest * @return Result of the AddApplicationCloudWatchLoggingOption operation returned by the service. * @throws ResourceNotFoundException * Specified application can't be found. * @throws ResourceInUseException * Application is not available for this operation. * @throws InvalidArgumentException * Specified input parameter value is invalid. * @throws ConcurrentModificationException * Exception thrown as a result of concurrent modification to an application. For example, two individuals * attempting to edit the same application at the same time. * @throws UnsupportedOperationException * The request was rejected because a specified parameter is not supported or a specified resource is not * valid for this operation. * @sample AmazonKinesisAnalytics.AddApplicationCloudWatchLoggingOption * @see AWS API Documentation */ @Override public AddApplicationCloudWatchLoggingOptionResult addApplicationCloudWatchLoggingOption(AddApplicationCloudWatchLoggingOptionRequest request) { request = beforeClientExecution(request); return executeAddApplicationCloudWatchLoggingOption(request); } @SdkInternalApi final AddApplicationCloudWatchLoggingOptionResult executeAddApplicationCloudWatchLoggingOption( AddApplicationCloudWatchLoggingOptionRequest addApplicationCloudWatchLoggingOptionRequest) { ExecutionContext executionContext = createExecutionContext(addApplicationCloudWatchLoggingOptionRequest); AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics(); awsRequestMetrics.startEvent(Field.ClientExecuteTime); Request request = null; Response response = null; try { awsRequestMetrics.startEvent(Field.RequestMarshallTime); try { request = new AddApplicationCloudWatchLoggingOptionRequestProtocolMarshaller(protocolFactory).marshall(super .beforeMarshalling(addApplicationCloudWatchLoggingOptionRequest)); // Binds the request metrics to the current request. request.setAWSRequestMetrics(awsRequestMetrics); request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint); request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden()); request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion()); request.addHandlerContext(HandlerContextKey.SERVICE_ID, "Kinesis Analytics"); request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "AddApplicationCloudWatchLoggingOption"); request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig); } finally { awsRequestMetrics.endEvent(Field.RequestMarshallTime); } HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler( new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new AddApplicationCloudWatchLoggingOptionResultJsonUnmarshaller()); response = invoke(request, responseHandler, executionContext); return response.getAwsResponse(); } finally { endClientExecution(awsRequestMetrics, request, response); } } /** * *

* This documentation is for version 1 of the Amazon Kinesis Data Analytics API, which only supports SQL * applications. Version 2 of the API supports SQL and Java applications. For more information about version 2, see * Amazon Kinesis Data Analytics API V2 Documentation. *

*
*

* Adds a streaming source to your Amazon Kinesis application. For conceptual information, see Configuring Application * Input. *

*

* You can add a streaming source either when you create an application or you can use this operation to add a * streaming source after you create an application. For more information, see CreateApplication. *

*

* Any configuration update, including adding a streaming source using this operation, results in a new version of * the application. You can use the DescribeApplication operation to find the current application version. *

*

* This operation requires permissions to perform the kinesisanalytics:AddApplicationInput action. *

* * @param addApplicationInputRequest * @return Result of the AddApplicationInput operation returned by the service. * @throws ResourceNotFoundException * Specified application can't be found. * @throws ResourceInUseException * Application is not available for this operation. * @throws InvalidArgumentException * Specified input parameter value is invalid. * @throws ConcurrentModificationException * Exception thrown as a result of concurrent modification to an application. For example, two individuals * attempting to edit the same application at the same time. * @throws CodeValidationException * User-provided application code (query) is invalid. This can be a simple syntax error. * @throws UnsupportedOperationException * The request was rejected because a specified parameter is not supported or a specified resource is not * valid for this operation. * @sample AmazonKinesisAnalytics.AddApplicationInput * @see AWS API Documentation */ @Override public AddApplicationInputResult addApplicationInput(AddApplicationInputRequest request) { request = beforeClientExecution(request); return executeAddApplicationInput(request); } @SdkInternalApi final AddApplicationInputResult executeAddApplicationInput(AddApplicationInputRequest addApplicationInputRequest) { ExecutionContext executionContext = createExecutionContext(addApplicationInputRequest); AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics(); awsRequestMetrics.startEvent(Field.ClientExecuteTime); Request request = null; Response response = null; try { awsRequestMetrics.startEvent(Field.RequestMarshallTime); try { request = new AddApplicationInputRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(addApplicationInputRequest)); // Binds the request metrics to the current request. request.setAWSRequestMetrics(awsRequestMetrics); request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint); request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden()); request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion()); request.addHandlerContext(HandlerContextKey.SERVICE_ID, "Kinesis Analytics"); request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "AddApplicationInput"); request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig); } finally { awsRequestMetrics.endEvent(Field.RequestMarshallTime); } HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler( new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new AddApplicationInputResultJsonUnmarshaller()); response = invoke(request, responseHandler, executionContext); return response.getAwsResponse(); } finally { endClientExecution(awsRequestMetrics, request, response); } } /** * *

* This documentation is for version 1 of the Amazon Kinesis Data Analytics API, which only supports SQL * applications. Version 2 of the API supports SQL and Java applications. For more information about version 2, see * Amazon Kinesis Data Analytics API V2 Documentation. *

*
*

* Adds an * InputProcessingConfiguration to an application. An input processor preprocesses records on the input stream * before the application's SQL code executes. Currently, the only input processor available is AWS Lambda. *

* * @param addApplicationInputProcessingConfigurationRequest * @return Result of the AddApplicationInputProcessingConfiguration operation returned by the service. * @throws ResourceNotFoundException * Specified application can't be found. * @throws ResourceInUseException * Application is not available for this operation. * @throws InvalidArgumentException * Specified input parameter value is invalid. * @throws ConcurrentModificationException * Exception thrown as a result of concurrent modification to an application. For example, two individuals * attempting to edit the same application at the same time. * @throws UnsupportedOperationException * The request was rejected because a specified parameter is not supported or a specified resource is not * valid for this operation. * @sample AmazonKinesisAnalytics.AddApplicationInputProcessingConfiguration * @see AWS API Documentation */ @Override public AddApplicationInputProcessingConfigurationResult addApplicationInputProcessingConfiguration(AddApplicationInputProcessingConfigurationRequest request) { request = beforeClientExecution(request); return executeAddApplicationInputProcessingConfiguration(request); } @SdkInternalApi final AddApplicationInputProcessingConfigurationResult executeAddApplicationInputProcessingConfiguration( AddApplicationInputProcessingConfigurationRequest addApplicationInputProcessingConfigurationRequest) { ExecutionContext executionContext = createExecutionContext(addApplicationInputProcessingConfigurationRequest); AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics(); awsRequestMetrics.startEvent(Field.ClientExecuteTime); Request request = null; Response response = null; try { awsRequestMetrics.startEvent(Field.RequestMarshallTime); try { request = new AddApplicationInputProcessingConfigurationRequestProtocolMarshaller(protocolFactory).marshall(super .beforeMarshalling(addApplicationInputProcessingConfigurationRequest)); // Binds the request metrics to the current request. request.setAWSRequestMetrics(awsRequestMetrics); request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint); request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden()); request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion()); request.addHandlerContext(HandlerContextKey.SERVICE_ID, "Kinesis Analytics"); request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "AddApplicationInputProcessingConfiguration"); request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig); } finally { awsRequestMetrics.endEvent(Field.RequestMarshallTime); } HttpResponseHandler> responseHandler = protocolFactory .createResponseHandler(new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new AddApplicationInputProcessingConfigurationResultJsonUnmarshaller()); response = invoke(request, responseHandler, executionContext); return response.getAwsResponse(); } finally { endClientExecution(awsRequestMetrics, request, response); } } /** * *

* This documentation is for version 1 of the Amazon Kinesis Data Analytics API, which only supports SQL * applications. Version 2 of the API supports SQL and Java applications. For more information about version 2, see * Amazon Kinesis Data Analytics API V2 Documentation. *

*
*

* Adds an external destination to your Amazon Kinesis Analytics application. *

*

* If you want Amazon Kinesis Analytics to deliver data from an in-application stream within your application to an * external destination (such as an Amazon Kinesis stream, an Amazon Kinesis Firehose delivery stream, or an AWS * Lambda function), you add the relevant configuration to your application using this operation. You can configure * one or more outputs for your application. Each output configuration maps an in-application stream and an external * destination. *

*

* You can use one of the output configurations to deliver data from your in-application error stream to an external * destination so that you can analyze the errors. For more information, see Understanding Application * Output (Destination). *

*

* Any configuration update, including adding a streaming source using this operation, results in a new version of * the application. You can use the DescribeApplication operation to find the current application version. *

*

* For the limits on the number of application inputs and outputs you can configure, see Limits. *

*

* This operation requires permissions to perform the kinesisanalytics:AddApplicationOutput action. *

* * @param addApplicationOutputRequest * @return Result of the AddApplicationOutput operation returned by the service. * @throws ResourceNotFoundException * Specified application can't be found. * @throws ResourceInUseException * Application is not available for this operation. * @throws InvalidArgumentException * Specified input parameter value is invalid. * @throws ConcurrentModificationException * Exception thrown as a result of concurrent modification to an application. For example, two individuals * attempting to edit the same application at the same time. * @throws UnsupportedOperationException * The request was rejected because a specified parameter is not supported or a specified resource is not * valid for this operation. * @sample AmazonKinesisAnalytics.AddApplicationOutput * @see AWS API Documentation */ @Override public AddApplicationOutputResult addApplicationOutput(AddApplicationOutputRequest request) { request = beforeClientExecution(request); return executeAddApplicationOutput(request); } @SdkInternalApi final AddApplicationOutputResult executeAddApplicationOutput(AddApplicationOutputRequest addApplicationOutputRequest) { ExecutionContext executionContext = createExecutionContext(addApplicationOutputRequest); AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics(); awsRequestMetrics.startEvent(Field.ClientExecuteTime); Request request = null; Response response = null; try { awsRequestMetrics.startEvent(Field.RequestMarshallTime); try { request = new AddApplicationOutputRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(addApplicationOutputRequest)); // Binds the request metrics to the current request. request.setAWSRequestMetrics(awsRequestMetrics); request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint); request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden()); request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion()); request.addHandlerContext(HandlerContextKey.SERVICE_ID, "Kinesis Analytics"); request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "AddApplicationOutput"); request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig); } finally { awsRequestMetrics.endEvent(Field.RequestMarshallTime); } HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler( new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new AddApplicationOutputResultJsonUnmarshaller()); response = invoke(request, responseHandler, executionContext); return response.getAwsResponse(); } finally { endClientExecution(awsRequestMetrics, request, response); } } /** * *

* This documentation is for version 1 of the Amazon Kinesis Data Analytics API, which only supports SQL * applications. Version 2 of the API supports SQL and Java applications. For more information about version 2, see * Amazon Kinesis Data Analytics API V2 Documentation. *

*
*

* Adds a reference data source to an existing application. *

*

* Amazon Kinesis Analytics reads reference data (that is, an Amazon S3 object) and creates an in-application table * within your application. In the request, you provide the source (S3 bucket name and object key name), name of the * in-application table to create, and the necessary mapping information that describes how data in Amazon S3 object * maps to columns in the resulting in-application table. *

*

* For conceptual information, see Configuring Application * Input. For the limits on data sources you can add to your application, see Limits. *

*

* This operation requires permissions to perform the kinesisanalytics:AddApplicationOutput action. *

* * @param addApplicationReferenceDataSourceRequest * @return Result of the AddApplicationReferenceDataSource operation returned by the service. * @throws ResourceNotFoundException * Specified application can't be found. * @throws ResourceInUseException * Application is not available for this operation. * @throws InvalidArgumentException * Specified input parameter value is invalid. * @throws ConcurrentModificationException * Exception thrown as a result of concurrent modification to an application. For example, two individuals * attempting to edit the same application at the same time. * @throws UnsupportedOperationException * The request was rejected because a specified parameter is not supported or a specified resource is not * valid for this operation. * @sample AmazonKinesisAnalytics.AddApplicationReferenceDataSource * @see AWS API Documentation */ @Override public AddApplicationReferenceDataSourceResult addApplicationReferenceDataSource(AddApplicationReferenceDataSourceRequest request) { request = beforeClientExecution(request); return executeAddApplicationReferenceDataSource(request); } @SdkInternalApi final AddApplicationReferenceDataSourceResult executeAddApplicationReferenceDataSource( AddApplicationReferenceDataSourceRequest addApplicationReferenceDataSourceRequest) { ExecutionContext executionContext = createExecutionContext(addApplicationReferenceDataSourceRequest); AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics(); awsRequestMetrics.startEvent(Field.ClientExecuteTime); Request request = null; Response response = null; try { awsRequestMetrics.startEvent(Field.RequestMarshallTime); try { request = new AddApplicationReferenceDataSourceRequestProtocolMarshaller(protocolFactory).marshall(super .beforeMarshalling(addApplicationReferenceDataSourceRequest)); // Binds the request metrics to the current request. request.setAWSRequestMetrics(awsRequestMetrics); request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint); request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden()); request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion()); request.addHandlerContext(HandlerContextKey.SERVICE_ID, "Kinesis Analytics"); request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "AddApplicationReferenceDataSource"); request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig); } finally { awsRequestMetrics.endEvent(Field.RequestMarshallTime); } HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler( new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new AddApplicationReferenceDataSourceResultJsonUnmarshaller()); response = invoke(request, responseHandler, executionContext); return response.getAwsResponse(); } finally { endClientExecution(awsRequestMetrics, request, response); } } /** * *

* This documentation is for version 1 of the Amazon Kinesis Data Analytics API, which only supports SQL * applications. Version 2 of the API supports SQL and Java applications. For more information about version 2, see * Amazon Kinesis Data Analytics API V2 Documentation. *

*
*

* Creates an Amazon Kinesis Analytics application. You can configure each application with one streaming source as * input, application code to process the input, and up to three destinations where you want Amazon Kinesis * Analytics to write the output data from your application. For an overview, see How it Works. *

*

* In the input configuration, you map the streaming source to an in-application stream, which you can think of as a * constantly updating table. In the mapping, you must provide a schema for the in-application stream and map each * data column in the in-application stream to a data element in the streaming source. *

*

* Your application code is one or more SQL statements that read input data, transform it, and generate output. Your * application code can create one or more SQL artifacts like SQL streams or pumps. *

*

* In the output configuration, you can configure the application to write data from in-application streams created * in your applications to up to three destinations. *

*

* To read data from your source stream or write data to destination streams, Amazon Kinesis Analytics needs your * permissions. You grant these permissions by creating IAM roles. This operation requires permissions to perform * the kinesisanalytics:CreateApplication action. *

*

* For introductory exercises to create an Amazon Kinesis Analytics application, see Getting Started. *

* * @param createApplicationRequest * TBD * @return Result of the CreateApplication operation returned by the service. * @throws CodeValidationException * User-provided application code (query) is invalid. This can be a simple syntax error. * @throws ResourceInUseException * Application is not available for this operation. * @throws LimitExceededException * Exceeded the number of applications allowed. * @throws InvalidArgumentException * Specified input parameter value is invalid. * @throws TooManyTagsException * Application created with too many tags, or too many tags added to an application. Note that the maximum * number of application tags includes system tags. The maximum number of user-defined application tags is * 50. * @throws ConcurrentModificationException * Exception thrown as a result of concurrent modification to an application. For example, two individuals * attempting to edit the same application at the same time. * @sample AmazonKinesisAnalytics.CreateApplication * @see AWS API Documentation */ @Override public CreateApplicationResult createApplication(CreateApplicationRequest request) { request = beforeClientExecution(request); return executeCreateApplication(request); } @SdkInternalApi final CreateApplicationResult executeCreateApplication(CreateApplicationRequest createApplicationRequest) { ExecutionContext executionContext = createExecutionContext(createApplicationRequest); AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics(); awsRequestMetrics.startEvent(Field.ClientExecuteTime); Request request = null; Response response = null; try { awsRequestMetrics.startEvent(Field.RequestMarshallTime); try { request = new CreateApplicationRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(createApplicationRequest)); // Binds the request metrics to the current request. request.setAWSRequestMetrics(awsRequestMetrics); request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint); request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden()); request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion()); request.addHandlerContext(HandlerContextKey.SERVICE_ID, "Kinesis Analytics"); request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "CreateApplication"); request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig); } finally { awsRequestMetrics.endEvent(Field.RequestMarshallTime); } HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler( new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new CreateApplicationResultJsonUnmarshaller()); response = invoke(request, responseHandler, executionContext); return response.getAwsResponse(); } finally { endClientExecution(awsRequestMetrics, request, response); } } /** * *

* This documentation is for version 1 of the Amazon Kinesis Data Analytics API, which only supports SQL * applications. Version 2 of the API supports SQL and Java applications. For more information about version 2, see * Amazon Kinesis Data Analytics API V2 Documentation. *

*
*

* Deletes the specified application. Amazon Kinesis Analytics halts application execution and deletes the * application, including any application artifacts (such as in-application streams, reference table, and * application code). *

*

* This operation requires permissions to perform the kinesisanalytics:DeleteApplication action. *

* * @param deleteApplicationRequest * @return Result of the DeleteApplication operation returned by the service. * @throws ConcurrentModificationException * Exception thrown as a result of concurrent modification to an application. For example, two individuals * attempting to edit the same application at the same time. * @throws ResourceNotFoundException * Specified application can't be found. * @throws ResourceInUseException * Application is not available for this operation. * @throws UnsupportedOperationException * The request was rejected because a specified parameter is not supported or a specified resource is not * valid for this operation. * @sample AmazonKinesisAnalytics.DeleteApplication * @see AWS API Documentation */ @Override public DeleteApplicationResult deleteApplication(DeleteApplicationRequest request) { request = beforeClientExecution(request); return executeDeleteApplication(request); } @SdkInternalApi final DeleteApplicationResult executeDeleteApplication(DeleteApplicationRequest deleteApplicationRequest) { ExecutionContext executionContext = createExecutionContext(deleteApplicationRequest); AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics(); awsRequestMetrics.startEvent(Field.ClientExecuteTime); Request request = null; Response response = null; try { awsRequestMetrics.startEvent(Field.RequestMarshallTime); try { request = new DeleteApplicationRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(deleteApplicationRequest)); // Binds the request metrics to the current request. request.setAWSRequestMetrics(awsRequestMetrics); request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint); request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden()); request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion()); request.addHandlerContext(HandlerContextKey.SERVICE_ID, "Kinesis Analytics"); request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "DeleteApplication"); request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig); } finally { awsRequestMetrics.endEvent(Field.RequestMarshallTime); } HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler( new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new DeleteApplicationResultJsonUnmarshaller()); response = invoke(request, responseHandler, executionContext); return response.getAwsResponse(); } finally { endClientExecution(awsRequestMetrics, request, response); } } /** * *

* This documentation is for version 1 of the Amazon Kinesis Data Analytics API, which only supports SQL * applications. Version 2 of the API supports SQL and Java applications. For more information about version 2, see * Amazon Kinesis Data Analytics API V2 Documentation. *

*
*

* Deletes a CloudWatch log stream from an application. For more information about using CloudWatch log streams with * Amazon Kinesis Analytics applications, see Working with Amazon * CloudWatch Logs. *

* * @param deleteApplicationCloudWatchLoggingOptionRequest * @return Result of the DeleteApplicationCloudWatchLoggingOption operation returned by the service. * @throws ResourceNotFoundException * Specified application can't be found. * @throws ResourceInUseException * Application is not available for this operation. * @throws InvalidArgumentException * Specified input parameter value is invalid. * @throws ConcurrentModificationException * Exception thrown as a result of concurrent modification to an application. For example, two individuals * attempting to edit the same application at the same time. * @throws UnsupportedOperationException * The request was rejected because a specified parameter is not supported or a specified resource is not * valid for this operation. * @sample AmazonKinesisAnalytics.DeleteApplicationCloudWatchLoggingOption * @see AWS API Documentation */ @Override public DeleteApplicationCloudWatchLoggingOptionResult deleteApplicationCloudWatchLoggingOption(DeleteApplicationCloudWatchLoggingOptionRequest request) { request = beforeClientExecution(request); return executeDeleteApplicationCloudWatchLoggingOption(request); } @SdkInternalApi final DeleteApplicationCloudWatchLoggingOptionResult executeDeleteApplicationCloudWatchLoggingOption( DeleteApplicationCloudWatchLoggingOptionRequest deleteApplicationCloudWatchLoggingOptionRequest) { ExecutionContext executionContext = createExecutionContext(deleteApplicationCloudWatchLoggingOptionRequest); AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics(); awsRequestMetrics.startEvent(Field.ClientExecuteTime); Request request = null; Response response = null; try { awsRequestMetrics.startEvent(Field.RequestMarshallTime); try { request = new DeleteApplicationCloudWatchLoggingOptionRequestProtocolMarshaller(protocolFactory).marshall(super .beforeMarshalling(deleteApplicationCloudWatchLoggingOptionRequest)); // Binds the request metrics to the current request. request.setAWSRequestMetrics(awsRequestMetrics); request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint); request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden()); request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion()); request.addHandlerContext(HandlerContextKey.SERVICE_ID, "Kinesis Analytics"); request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "DeleteApplicationCloudWatchLoggingOption"); request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig); } finally { awsRequestMetrics.endEvent(Field.RequestMarshallTime); } HttpResponseHandler> responseHandler = protocolFactory .createResponseHandler(new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new DeleteApplicationCloudWatchLoggingOptionResultJsonUnmarshaller()); response = invoke(request, responseHandler, executionContext); return response.getAwsResponse(); } finally { endClientExecution(awsRequestMetrics, request, response); } } /** * *

* This documentation is for version 1 of the Amazon Kinesis Data Analytics API, which only supports SQL * applications. Version 2 of the API supports SQL and Java applications. For more information about version 2, see * Amazon Kinesis Data Analytics API V2 Documentation. *

*
*

* Deletes an InputProcessingConfiguration from an input. *

* * @param deleteApplicationInputProcessingConfigurationRequest * @return Result of the DeleteApplicationInputProcessingConfiguration operation returned by the service. * @throws ResourceNotFoundException * Specified application can't be found. * @throws ResourceInUseException * Application is not available for this operation. * @throws InvalidArgumentException * Specified input parameter value is invalid. * @throws ConcurrentModificationException * Exception thrown as a result of concurrent modification to an application. For example, two individuals * attempting to edit the same application at the same time. * @throws UnsupportedOperationException * The request was rejected because a specified parameter is not supported or a specified resource is not * valid for this operation. * @sample AmazonKinesisAnalytics.DeleteApplicationInputProcessingConfiguration * @see AWS API Documentation */ @Override public DeleteApplicationInputProcessingConfigurationResult deleteApplicationInputProcessingConfiguration( DeleteApplicationInputProcessingConfigurationRequest request) { request = beforeClientExecution(request); return executeDeleteApplicationInputProcessingConfiguration(request); } @SdkInternalApi final DeleteApplicationInputProcessingConfigurationResult executeDeleteApplicationInputProcessingConfiguration( DeleteApplicationInputProcessingConfigurationRequest deleteApplicationInputProcessingConfigurationRequest) { ExecutionContext executionContext = createExecutionContext(deleteApplicationInputProcessingConfigurationRequest); AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics(); awsRequestMetrics.startEvent(Field.ClientExecuteTime); Request request = null; Response response = null; try { awsRequestMetrics.startEvent(Field.RequestMarshallTime); try { request = new DeleteApplicationInputProcessingConfigurationRequestProtocolMarshaller(protocolFactory).marshall(super .beforeMarshalling(deleteApplicationInputProcessingConfigurationRequest)); // Binds the request metrics to the current request. request.setAWSRequestMetrics(awsRequestMetrics); request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint); request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden()); request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion()); request.addHandlerContext(HandlerContextKey.SERVICE_ID, "Kinesis Analytics"); request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "DeleteApplicationInputProcessingConfiguration"); request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig); } finally { awsRequestMetrics.endEvent(Field.RequestMarshallTime); } HttpResponseHandler> responseHandler = protocolFactory .createResponseHandler(new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new DeleteApplicationInputProcessingConfigurationResultJsonUnmarshaller()); response = invoke(request, responseHandler, executionContext); return response.getAwsResponse(); } finally { endClientExecution(awsRequestMetrics, request, response); } } /** * *

* This documentation is for version 1 of the Amazon Kinesis Data Analytics API, which only supports SQL * applications. Version 2 of the API supports SQL and Java applications. For more information about version 2, see * Amazon Kinesis Data Analytics API V2 Documentation. *

*
*

* Deletes output destination configuration from your application configuration. Amazon Kinesis Analytics will no * longer write data from the corresponding in-application stream to the external output destination. *

*

* This operation requires permissions to perform the kinesisanalytics:DeleteApplicationOutput action. *

* * @param deleteApplicationOutputRequest * @return Result of the DeleteApplicationOutput operation returned by the service. * @throws ResourceNotFoundException * Specified application can't be found. * @throws ResourceInUseException * Application is not available for this operation. * @throws InvalidArgumentException * Specified input parameter value is invalid. * @throws ConcurrentModificationException * Exception thrown as a result of concurrent modification to an application. For example, two individuals * attempting to edit the same application at the same time. * @throws UnsupportedOperationException * The request was rejected because a specified parameter is not supported or a specified resource is not * valid for this operation. * @sample AmazonKinesisAnalytics.DeleteApplicationOutput * @see AWS API Documentation */ @Override public DeleteApplicationOutputResult deleteApplicationOutput(DeleteApplicationOutputRequest request) { request = beforeClientExecution(request); return executeDeleteApplicationOutput(request); } @SdkInternalApi final DeleteApplicationOutputResult executeDeleteApplicationOutput(DeleteApplicationOutputRequest deleteApplicationOutputRequest) { ExecutionContext executionContext = createExecutionContext(deleteApplicationOutputRequest); AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics(); awsRequestMetrics.startEvent(Field.ClientExecuteTime); Request request = null; Response response = null; try { awsRequestMetrics.startEvent(Field.RequestMarshallTime); try { request = new DeleteApplicationOutputRequestProtocolMarshaller(protocolFactory).marshall(super .beforeMarshalling(deleteApplicationOutputRequest)); // Binds the request metrics to the current request. request.setAWSRequestMetrics(awsRequestMetrics); request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint); request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden()); request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion()); request.addHandlerContext(HandlerContextKey.SERVICE_ID, "Kinesis Analytics"); request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "DeleteApplicationOutput"); request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig); } finally { awsRequestMetrics.endEvent(Field.RequestMarshallTime); } HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler( new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new DeleteApplicationOutputResultJsonUnmarshaller()); response = invoke(request, responseHandler, executionContext); return response.getAwsResponse(); } finally { endClientExecution(awsRequestMetrics, request, response); } } /** * *

* This documentation is for version 1 of the Amazon Kinesis Data Analytics API, which only supports SQL * applications. Version 2 of the API supports SQL and Java applications. For more information about version 2, see * Amazon Kinesis Data Analytics API V2 Documentation. *

*
*

* Deletes a reference data source configuration from the specified application configuration. *

*

* If the application is running, Amazon Kinesis Analytics immediately removes the in-application table that you * created using the AddApplicationReferenceDataSource operation. *

*

* This operation requires permissions to perform the * kinesisanalytics.DeleteApplicationReferenceDataSource action. *

* * @param deleteApplicationReferenceDataSourceRequest * @return Result of the DeleteApplicationReferenceDataSource operation returned by the service. * @throws ResourceNotFoundException * Specified application can't be found. * @throws ResourceInUseException * Application is not available for this operation. * @throws InvalidArgumentException * Specified input parameter value is invalid. * @throws ConcurrentModificationException * Exception thrown as a result of concurrent modification to an application. For example, two individuals * attempting to edit the same application at the same time. * @throws UnsupportedOperationException * The request was rejected because a specified parameter is not supported or a specified resource is not * valid for this operation. * @sample AmazonKinesisAnalytics.DeleteApplicationReferenceDataSource * @see AWS API Documentation */ @Override public DeleteApplicationReferenceDataSourceResult deleteApplicationReferenceDataSource(DeleteApplicationReferenceDataSourceRequest request) { request = beforeClientExecution(request); return executeDeleteApplicationReferenceDataSource(request); } @SdkInternalApi final DeleteApplicationReferenceDataSourceResult executeDeleteApplicationReferenceDataSource( DeleteApplicationReferenceDataSourceRequest deleteApplicationReferenceDataSourceRequest) { ExecutionContext executionContext = createExecutionContext(deleteApplicationReferenceDataSourceRequest); AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics(); awsRequestMetrics.startEvent(Field.ClientExecuteTime); Request request = null; Response response = null; try { awsRequestMetrics.startEvent(Field.RequestMarshallTime); try { request = new DeleteApplicationReferenceDataSourceRequestProtocolMarshaller(protocolFactory).marshall(super .beforeMarshalling(deleteApplicationReferenceDataSourceRequest)); // Binds the request metrics to the current request. request.setAWSRequestMetrics(awsRequestMetrics); request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint); request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden()); request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion()); request.addHandlerContext(HandlerContextKey.SERVICE_ID, "Kinesis Analytics"); request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "DeleteApplicationReferenceDataSource"); request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig); } finally { awsRequestMetrics.endEvent(Field.RequestMarshallTime); } HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler( new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new DeleteApplicationReferenceDataSourceResultJsonUnmarshaller()); response = invoke(request, responseHandler, executionContext); return response.getAwsResponse(); } finally { endClientExecution(awsRequestMetrics, request, response); } } /** * *

* This documentation is for version 1 of the Amazon Kinesis Data Analytics API, which only supports SQL * applications. Version 2 of the API supports SQL and Java applications. For more information about version 2, see * Amazon Kinesis Data Analytics API V2 Documentation. *

*
*

* Returns information about a specific Amazon Kinesis Analytics application. *

*

* If you want to retrieve a list of all applications in your account, use the ListApplications * operation. *

*

* This operation requires permissions to perform the kinesisanalytics:DescribeApplication action. You * can use DescribeApplication to get the current application versionId, which you need to call other * operations such as Update. *

* * @param describeApplicationRequest * @return Result of the DescribeApplication operation returned by the service. * @throws ResourceNotFoundException * Specified application can't be found. * @throws UnsupportedOperationException * The request was rejected because a specified parameter is not supported or a specified resource is not * valid for this operation. * @sample AmazonKinesisAnalytics.DescribeApplication * @see AWS API Documentation */ @Override public DescribeApplicationResult describeApplication(DescribeApplicationRequest request) { request = beforeClientExecution(request); return executeDescribeApplication(request); } @SdkInternalApi final DescribeApplicationResult executeDescribeApplication(DescribeApplicationRequest describeApplicationRequest) { ExecutionContext executionContext = createExecutionContext(describeApplicationRequest); AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics(); awsRequestMetrics.startEvent(Field.ClientExecuteTime); Request request = null; Response response = null; try { awsRequestMetrics.startEvent(Field.RequestMarshallTime); try { request = new DescribeApplicationRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(describeApplicationRequest)); // Binds the request metrics to the current request. request.setAWSRequestMetrics(awsRequestMetrics); request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint); request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden()); request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion()); request.addHandlerContext(HandlerContextKey.SERVICE_ID, "Kinesis Analytics"); request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "DescribeApplication"); request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig); } finally { awsRequestMetrics.endEvent(Field.RequestMarshallTime); } HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler( new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new DescribeApplicationResultJsonUnmarshaller()); response = invoke(request, responseHandler, executionContext); return response.getAwsResponse(); } finally { endClientExecution(awsRequestMetrics, request, response); } } /** * *

* This documentation is for version 1 of the Amazon Kinesis Data Analytics API, which only supports SQL * applications. Version 2 of the API supports SQL and Java applications. For more information about version 2, see * Amazon Kinesis Data Analytics API V2 Documentation. *

*
*

* Infers a schema by evaluating sample records on the specified streaming source (Amazon Kinesis stream or Amazon * Kinesis Firehose delivery stream) or S3 object. In the response, the operation returns the inferred schema and * also the sample records that the operation used to infer the schema. *

*

* You can use the inferred schema when configuring a streaming source for your application. For conceptual * information, see Configuring Application * Input. Note that when you create an application using the Amazon Kinesis Analytics console, the console uses * this operation to infer a schema and show it in the console user interface. *

*

* This operation requires permissions to perform the kinesisanalytics:DiscoverInputSchema action. *

* * @param discoverInputSchemaRequest * @return Result of the DiscoverInputSchema operation returned by the service. * @throws InvalidArgumentException * Specified input parameter value is invalid. * @throws UnableToDetectSchemaException * Data format is not valid. Amazon Kinesis Analytics is not able to detect schema for the given streaming * source. * @throws ResourceProvisionedThroughputExceededException * Discovery failed to get a record from the streaming source because of the Amazon Kinesis Streams * ProvisionedThroughputExceededException. For more information, see GetRecords in the * Amazon Kinesis Streams API Reference. * @throws ServiceUnavailableException * The service is unavailable. Back off and retry the operation. * @sample AmazonKinesisAnalytics.DiscoverInputSchema * @see AWS API Documentation */ @Override public DiscoverInputSchemaResult discoverInputSchema(DiscoverInputSchemaRequest request) { request = beforeClientExecution(request); return executeDiscoverInputSchema(request); } @SdkInternalApi final DiscoverInputSchemaResult executeDiscoverInputSchema(DiscoverInputSchemaRequest discoverInputSchemaRequest) { ExecutionContext executionContext = createExecutionContext(discoverInputSchemaRequest); AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics(); awsRequestMetrics.startEvent(Field.ClientExecuteTime); Request request = null; Response response = null; try { awsRequestMetrics.startEvent(Field.RequestMarshallTime); try { request = new DiscoverInputSchemaRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(discoverInputSchemaRequest)); // Binds the request metrics to the current request. request.setAWSRequestMetrics(awsRequestMetrics); request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint); request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden()); request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion()); request.addHandlerContext(HandlerContextKey.SERVICE_ID, "Kinesis Analytics"); request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "DiscoverInputSchema"); request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig); } finally { awsRequestMetrics.endEvent(Field.RequestMarshallTime); } HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler( new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new DiscoverInputSchemaResultJsonUnmarshaller()); response = invoke(request, responseHandler, executionContext); return response.getAwsResponse(); } finally { endClientExecution(awsRequestMetrics, request, response); } } /** * *

* This documentation is for version 1 of the Amazon Kinesis Data Analytics API, which only supports SQL * applications. Version 2 of the API supports SQL and Java applications. For more information about version 2, see * Amazon Kinesis Data Analytics API V2 Documentation. *

*
*

* Returns a list of Amazon Kinesis Analytics applications in your account. For each application, the response * includes the application name, Amazon Resource Name (ARN), and status. If the response returns the * HasMoreApplications value as true, you can send another request by adding the * ExclusiveStartApplicationName in the request body, and set the value of this to the last application * name from the previous response. *

*

* If you want detailed information about a specific application, use DescribeApplication. *

*

* This operation requires permissions to perform the kinesisanalytics:ListApplications action. *

* * @param listApplicationsRequest * @return Result of the ListApplications operation returned by the service. * @sample AmazonKinesisAnalytics.ListApplications * @see AWS API Documentation */ @Override public ListApplicationsResult listApplications(ListApplicationsRequest request) { request = beforeClientExecution(request); return executeListApplications(request); } @SdkInternalApi final ListApplicationsResult executeListApplications(ListApplicationsRequest listApplicationsRequest) { ExecutionContext executionContext = createExecutionContext(listApplicationsRequest); AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics(); awsRequestMetrics.startEvent(Field.ClientExecuteTime); Request request = null; Response response = null; try { awsRequestMetrics.startEvent(Field.RequestMarshallTime); try { request = new ListApplicationsRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(listApplicationsRequest)); // Binds the request metrics to the current request. request.setAWSRequestMetrics(awsRequestMetrics); request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint); request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden()); request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion()); request.addHandlerContext(HandlerContextKey.SERVICE_ID, "Kinesis Analytics"); request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "ListApplications"); request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig); } finally { awsRequestMetrics.endEvent(Field.RequestMarshallTime); } HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler( new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new ListApplicationsResultJsonUnmarshaller()); response = invoke(request, responseHandler, executionContext); return response.getAwsResponse(); } finally { endClientExecution(awsRequestMetrics, request, response); } } /** *

* Retrieves the list of key-value tags assigned to the application. For more information, see Using Tagging. *

* * @param listTagsForResourceRequest * @return Result of the ListTagsForResource operation returned by the service. * @throws ResourceNotFoundException * Specified application can't be found. * @throws InvalidArgumentException * Specified input parameter value is invalid. * @throws ConcurrentModificationException * Exception thrown as a result of concurrent modification to an application. For example, two individuals * attempting to edit the same application at the same time. * @sample AmazonKinesisAnalytics.ListTagsForResource * @see AWS API Documentation */ @Override public ListTagsForResourceResult listTagsForResource(ListTagsForResourceRequest request) { request = beforeClientExecution(request); return executeListTagsForResource(request); } @SdkInternalApi final ListTagsForResourceResult executeListTagsForResource(ListTagsForResourceRequest listTagsForResourceRequest) { ExecutionContext executionContext = createExecutionContext(listTagsForResourceRequest); AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics(); awsRequestMetrics.startEvent(Field.ClientExecuteTime); Request request = null; Response response = null; try { awsRequestMetrics.startEvent(Field.RequestMarshallTime); try { request = new ListTagsForResourceRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(listTagsForResourceRequest)); // Binds the request metrics to the current request. request.setAWSRequestMetrics(awsRequestMetrics); request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint); request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden()); request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion()); request.addHandlerContext(HandlerContextKey.SERVICE_ID, "Kinesis Analytics"); request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "ListTagsForResource"); request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig); } finally { awsRequestMetrics.endEvent(Field.RequestMarshallTime); } HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler( new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new ListTagsForResourceResultJsonUnmarshaller()); response = invoke(request, responseHandler, executionContext); return response.getAwsResponse(); } finally { endClientExecution(awsRequestMetrics, request, response); } } /** * *

* This documentation is for version 1 of the Amazon Kinesis Data Analytics API, which only supports SQL * applications. Version 2 of the API supports SQL and Java applications. For more information about version 2, see * Amazon Kinesis Data Analytics API V2 Documentation. *

*
*

* Starts the specified Amazon Kinesis Analytics application. After creating an application, you must exclusively * call this operation to start your application. *

*

* After the application starts, it begins consuming the input data, processes it, and writes the output to the * configured destination. *

*

* The application status must be READY for you to start an application. You can get the application * status in the console or using the DescribeApplication operation. *

*

* After you start the application, you can stop the application from processing the input by calling the StopApplication * operation. *

*

* This operation requires permissions to perform the kinesisanalytics:StartApplication action. *

* * @param startApplicationRequest * @return Result of the StartApplication operation returned by the service. * @throws ResourceNotFoundException * Specified application can't be found. * @throws ResourceInUseException * Application is not available for this operation. * @throws InvalidArgumentException * Specified input parameter value is invalid. * @throws InvalidApplicationConfigurationException * User-provided application configuration is not valid. * @throws UnsupportedOperationException * The request was rejected because a specified parameter is not supported or a specified resource is not * valid for this operation. * @sample AmazonKinesisAnalytics.StartApplication * @see AWS API Documentation */ @Override public StartApplicationResult startApplication(StartApplicationRequest request) { request = beforeClientExecution(request); return executeStartApplication(request); } @SdkInternalApi final StartApplicationResult executeStartApplication(StartApplicationRequest startApplicationRequest) { ExecutionContext executionContext = createExecutionContext(startApplicationRequest); AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics(); awsRequestMetrics.startEvent(Field.ClientExecuteTime); Request request = null; Response response = null; try { awsRequestMetrics.startEvent(Field.RequestMarshallTime); try { request = new StartApplicationRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(startApplicationRequest)); // Binds the request metrics to the current request. request.setAWSRequestMetrics(awsRequestMetrics); request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint); request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden()); request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion()); request.addHandlerContext(HandlerContextKey.SERVICE_ID, "Kinesis Analytics"); request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "StartApplication"); request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig); } finally { awsRequestMetrics.endEvent(Field.RequestMarshallTime); } HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler( new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new StartApplicationResultJsonUnmarshaller()); response = invoke(request, responseHandler, executionContext); return response.getAwsResponse(); } finally { endClientExecution(awsRequestMetrics, request, response); } } /** * *

* This documentation is for version 1 of the Amazon Kinesis Data Analytics API, which only supports SQL * applications. Version 2 of the API supports SQL and Java applications. For more information about version 2, see * Amazon Kinesis Data Analytics API V2 Documentation. *

*
*

* Stops the application from processing input data. You can stop an application only if it is in the running state. * You can use the DescribeApplication * operation to find the application state. After the application is stopped, Amazon Kinesis Analytics stops * reading data from the input, the application stops processing data, and there is no output written to the * destination. *

*

* This operation requires permissions to perform the kinesisanalytics:StopApplication action. *

* * @param stopApplicationRequest * @return Result of the StopApplication operation returned by the service. * @throws ResourceNotFoundException * Specified application can't be found. * @throws ResourceInUseException * Application is not available for this operation. * @throws UnsupportedOperationException * The request was rejected because a specified parameter is not supported or a specified resource is not * valid for this operation. * @sample AmazonKinesisAnalytics.StopApplication * @see AWS API Documentation */ @Override public StopApplicationResult stopApplication(StopApplicationRequest request) { request = beforeClientExecution(request); return executeStopApplication(request); } @SdkInternalApi final StopApplicationResult executeStopApplication(StopApplicationRequest stopApplicationRequest) { ExecutionContext executionContext = createExecutionContext(stopApplicationRequest); AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics(); awsRequestMetrics.startEvent(Field.ClientExecuteTime); Request request = null; Response response = null; try { awsRequestMetrics.startEvent(Field.RequestMarshallTime); try { request = new StopApplicationRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(stopApplicationRequest)); // Binds the request metrics to the current request. request.setAWSRequestMetrics(awsRequestMetrics); request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint); request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden()); request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion()); request.addHandlerContext(HandlerContextKey.SERVICE_ID, "Kinesis Analytics"); request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "StopApplication"); request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig); } finally { awsRequestMetrics.endEvent(Field.RequestMarshallTime); } HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler( new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new StopApplicationResultJsonUnmarshaller()); response = invoke(request, responseHandler, executionContext); return response.getAwsResponse(); } finally { endClientExecution(awsRequestMetrics, request, response); } } /** *

* Adds one or more key-value tags to a Kinesis Analytics application. Note that the maximum number of application * tags includes system tags. The maximum number of user-defined application tags is 50. For more information, see * Using Tagging. *

* * @param tagResourceRequest * @return Result of the TagResource operation returned by the service. * @throws ResourceNotFoundException * Specified application can't be found. * @throws ResourceInUseException * Application is not available for this operation. * @throws TooManyTagsException * Application created with too many tags, or too many tags added to an application. Note that the maximum * number of application tags includes system tags. The maximum number of user-defined application tags is * 50. * @throws InvalidArgumentException * Specified input parameter value is invalid. * @throws ConcurrentModificationException * Exception thrown as a result of concurrent modification to an application. For example, two individuals * attempting to edit the same application at the same time. * @sample AmazonKinesisAnalytics.TagResource * @see AWS * API Documentation */ @Override public TagResourceResult tagResource(TagResourceRequest request) { request = beforeClientExecution(request); return executeTagResource(request); } @SdkInternalApi final TagResourceResult executeTagResource(TagResourceRequest tagResourceRequest) { ExecutionContext executionContext = createExecutionContext(tagResourceRequest); AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics(); awsRequestMetrics.startEvent(Field.ClientExecuteTime); Request request = null; Response response = null; try { awsRequestMetrics.startEvent(Field.RequestMarshallTime); try { request = new TagResourceRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(tagResourceRequest)); // Binds the request metrics to the current request. request.setAWSRequestMetrics(awsRequestMetrics); request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint); request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden()); request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion()); request.addHandlerContext(HandlerContextKey.SERVICE_ID, "Kinesis Analytics"); request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "TagResource"); request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig); } finally { awsRequestMetrics.endEvent(Field.RequestMarshallTime); } HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler( new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new TagResourceResultJsonUnmarshaller()); response = invoke(request, responseHandler, executionContext); return response.getAwsResponse(); } finally { endClientExecution(awsRequestMetrics, request, response); } } /** *

* Removes one or more tags from a Kinesis Analytics application. For more information, see Using Tagging. *

* * @param untagResourceRequest * @return Result of the UntagResource operation returned by the service. * @throws ResourceNotFoundException * Specified application can't be found. * @throws ResourceInUseException * Application is not available for this operation. * @throws TooManyTagsException * Application created with too many tags, or too many tags added to an application. Note that the maximum * number of application tags includes system tags. The maximum number of user-defined application tags is * 50. * @throws InvalidArgumentException * Specified input parameter value is invalid. * @throws ConcurrentModificationException * Exception thrown as a result of concurrent modification to an application. For example, two individuals * attempting to edit the same application at the same time. * @sample AmazonKinesisAnalytics.UntagResource * @see AWS * API Documentation */ @Override public UntagResourceResult untagResource(UntagResourceRequest request) { request = beforeClientExecution(request); return executeUntagResource(request); } @SdkInternalApi final UntagResourceResult executeUntagResource(UntagResourceRequest untagResourceRequest) { ExecutionContext executionContext = createExecutionContext(untagResourceRequest); AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics(); awsRequestMetrics.startEvent(Field.ClientExecuteTime); Request request = null; Response response = null; try { awsRequestMetrics.startEvent(Field.RequestMarshallTime); try { request = new UntagResourceRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(untagResourceRequest)); // Binds the request metrics to the current request. request.setAWSRequestMetrics(awsRequestMetrics); request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint); request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden()); request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion()); request.addHandlerContext(HandlerContextKey.SERVICE_ID, "Kinesis Analytics"); request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "UntagResource"); request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig); } finally { awsRequestMetrics.endEvent(Field.RequestMarshallTime); } HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler( new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new UntagResourceResultJsonUnmarshaller()); response = invoke(request, responseHandler, executionContext); return response.getAwsResponse(); } finally { endClientExecution(awsRequestMetrics, request, response); } } /** * *

* This documentation is for version 1 of the Amazon Kinesis Data Analytics API, which only supports SQL * applications. Version 2 of the API supports SQL and Java applications. For more information about version 2, see * Amazon Kinesis Data Analytics API V2 Documentation. *

*
*

* Updates an existing Amazon Kinesis Analytics application. Using this API, you can update application code, input * configuration, and output configuration. *

*

* Note that Amazon Kinesis Analytics updates the CurrentApplicationVersionId each time you update your * application. *

*

* This operation requires permission for the kinesisanalytics:UpdateApplication action. *

* * @param updateApplicationRequest * @return Result of the UpdateApplication operation returned by the service. * @throws CodeValidationException * User-provided application code (query) is invalid. This can be a simple syntax error. * @throws ResourceNotFoundException * Specified application can't be found. * @throws ResourceInUseException * Application is not available for this operation. * @throws InvalidArgumentException * Specified input parameter value is invalid. * @throws ConcurrentModificationException * Exception thrown as a result of concurrent modification to an application. For example, two individuals * attempting to edit the same application at the same time. * @throws UnsupportedOperationException * The request was rejected because a specified parameter is not supported or a specified resource is not * valid for this operation. * @sample AmazonKinesisAnalytics.UpdateApplication * @see AWS API Documentation */ @Override public UpdateApplicationResult updateApplication(UpdateApplicationRequest request) { request = beforeClientExecution(request); return executeUpdateApplication(request); } @SdkInternalApi final UpdateApplicationResult executeUpdateApplication(UpdateApplicationRequest updateApplicationRequest) { ExecutionContext executionContext = createExecutionContext(updateApplicationRequest); AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics(); awsRequestMetrics.startEvent(Field.ClientExecuteTime); Request request = null; Response response = null; try { awsRequestMetrics.startEvent(Field.RequestMarshallTime); try { request = new UpdateApplicationRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(updateApplicationRequest)); // Binds the request metrics to the current request. request.setAWSRequestMetrics(awsRequestMetrics); request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint); request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden()); request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion()); request.addHandlerContext(HandlerContextKey.SERVICE_ID, "Kinesis Analytics"); request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "UpdateApplication"); request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig); } finally { awsRequestMetrics.endEvent(Field.RequestMarshallTime); } HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler( new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new UpdateApplicationResultJsonUnmarshaller()); response = invoke(request, responseHandler, executionContext); return response.getAwsResponse(); } finally { endClientExecution(awsRequestMetrics, request, response); } } /** * Returns additional metadata for a previously executed successful, request, typically used for debugging issues * where a service isn't acting as expected. This data isn't considered part of the result data returned by an * operation, so it's available through this separate, diagnostic interface. *

* Response metadata is only cached for a limited period of time, so if you need to access this extra diagnostic * information for an executed request, you should use this method to retrieve it as soon as possible after * executing the request. * * @param request * The originally executed request * * @return The response metadata for the specified request, or null if none is available. */ public ResponseMetadata getCachedResponseMetadata(AmazonWebServiceRequest request) { return client.getResponseMetadataForRequest(request); } /** * Normal invoke with authentication. Credentials are required and may be overriden at the request level. **/ private Response invoke(Request request, HttpResponseHandler> responseHandler, ExecutionContext executionContext) { return invoke(request, responseHandler, executionContext, null, null); } /** * Normal invoke with authentication. Credentials are required and may be overriden at the request level. **/ private Response invoke(Request request, HttpResponseHandler> responseHandler, ExecutionContext executionContext, URI cachedEndpoint, URI uriFromEndpointTrait) { executionContext.setCredentialsProvider(CredentialUtils.getCredentialsProvider(request.getOriginalRequest(), awsCredentialsProvider)); return doInvoke(request, responseHandler, executionContext, cachedEndpoint, uriFromEndpointTrait); } /** * Invoke with no authentication. Credentials are not required and any credentials set on the client or request will * be ignored for this operation. **/ private Response anonymousInvoke(Request request, HttpResponseHandler> responseHandler, ExecutionContext executionContext) { return doInvoke(request, responseHandler, executionContext, null, null); } /** * Invoke the request using the http client. Assumes credentials (or lack thereof) have been configured in the * ExecutionContext beforehand. **/ private Response doInvoke(Request request, HttpResponseHandler> responseHandler, ExecutionContext executionContext, URI discoveredEndpoint, URI uriFromEndpointTrait) { if (discoveredEndpoint != null) { request.setEndpoint(discoveredEndpoint); request.getOriginalRequest().getRequestClientOptions().appendUserAgent("endpoint-discovery"); } else if (uriFromEndpointTrait != null) { request.setEndpoint(uriFromEndpointTrait); } else { request.setEndpoint(endpoint); } request.setTimeOffset(timeOffset); HttpResponseHandler errorResponseHandler = protocolFactory.createErrorResponseHandler(new JsonErrorResponseMetadata()); return client.execute(request, responseHandler, errorResponseHandler, executionContext); } @com.amazonaws.annotation.SdkInternalApi static com.amazonaws.protocol.json.SdkJsonProtocolFactory getProtocolFactory() { return protocolFactory; } @Override public void shutdown() { super.shutdown(); } }





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