com.amazonaws.services.kinesisanalytics.AmazonKinesisAnalyticsClient Maven / Gradle / Ivy
/*
* Copyright 2011-2016 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 java.util.Map.Entry;
import org.apache.commons.logging.*;
import com.amazonaws.*;
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.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.
*
*
*/
@ThreadSafe
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 SdkJsonProtocolFactory protocolFactory = new SdkJsonProtocolFactory(
new JsonClientMetadata()
.withProtocolVersion("1.1")
.withSupportsCbor(false)
.addErrorMetadata(
new JsonErrorShapeMetadata()
.withErrorCode(
"ConcurrentModificationException")
.withModeledClass(
com.amazonaws.services.kinesisanalytics.model.ConcurrentModificationException.class))
.addErrorMetadata(
new JsonErrorShapeMetadata()
.withErrorCode(
"InvalidApplicationConfigurationException")
.withModeledClass(
com.amazonaws.services.kinesisanalytics.model.InvalidApplicationConfigurationException.class))
.addErrorMetadata(
new JsonErrorShapeMetadata()
.withErrorCode(
"UnableToDetectSchemaException")
.withModeledClass(
com.amazonaws.services.kinesisanalytics.model.UnableToDetectSchemaException.class))
.addErrorMetadata(
new JsonErrorShapeMetadata()
.withErrorCode("CodeValidationException")
.withModeledClass(
com.amazonaws.services.kinesisanalytics.model.CodeValidationException.class))
.addErrorMetadata(
new JsonErrorShapeMetadata()
.withErrorCode("InvalidArgumentException")
.withModeledClass(
com.amazonaws.services.kinesisanalytics.model.InvalidArgumentException.class))
.addErrorMetadata(
new JsonErrorShapeMetadata()
.withErrorCode("ResourceInUseException")
.withModeledClass(
com.amazonaws.services.kinesisanalytics.model.ResourceInUseException.class))
.addErrorMetadata(
new JsonErrorShapeMetadata()
.withErrorCode("ResourceNotFoundException")
.withModeledClass(
com.amazonaws.services.kinesisanalytics.model.ResourceNotFoundException.class))
.addErrorMetadata(
new JsonErrorShapeMetadata()
.withErrorCode(
"ResourceProvisionedThroughputExceededException")
.withModeledClass(
com.amazonaws.services.kinesisanalytics.model.ResourceProvisionedThroughputExceededException.class))
.addErrorMetadata(
new JsonErrorShapeMetadata()
.withErrorCode("LimitExceededException")
.withModeledClass(
com.amazonaws.services.kinesisanalytics.model.LimitExceededException.class))
.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
*/
public AmazonKinesisAnalyticsClient() {
this(new DefaultAWSCredentialsProviderChain(), 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
*/
public AmazonKinesisAnalyticsClient(ClientConfiguration clientConfiguration) {
this(new DefaultAWSCredentialsProviderChain(), 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.
*/
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.).
*/
public AmazonKinesisAnalyticsClient(AWSCredentials awsCredentials,
ClientConfiguration clientConfiguration) {
super(clientConfiguration);
this.awsCredentialsProvider = new StaticCredentialsProvider(
awsCredentials);
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.
*/
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.).
*/
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
*/
public AmazonKinesisAnalyticsClient(
AWSCredentialsProvider awsCredentialsProvider,
ClientConfiguration clientConfiguration,
RequestMetricCollector requestMetricCollector) {
super(clientConfiguration, requestMetricCollector);
this.awsCredentialsProvider = awsCredentialsProvider;
init();
}
/**
* 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) {
super(clientParams);
this.awsCredentialsProvider = clientParams.getCredentialsProvider();
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"));
}
/**
*
* 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.
* @sample AmazonKinesisAnalytics.AddApplicationInput
*/
@Override
public AddApplicationInputResult addApplicationInput(
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 AddApplicationInputRequestMarshaller(
protocolFactory).marshall(super
.beforeMarshalling(addApplicationInputRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
} 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);
}
}
/**
*
* 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 or a Firehose delivery stream), 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 conceptual information, see Understanding Application Output (Destination).
*
*
* Note that 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.
* @sample AmazonKinesisAnalytics.AddApplicationOutput
*/
@Override
public AddApplicationOutputResult addApplicationOutput(
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 AddApplicationOutputRequestMarshaller(
protocolFactory).marshall(super
.beforeMarshalling(addApplicationOutputRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
} 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);
}
}
/**
*
* 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.
* @sample AmazonKinesisAnalytics.AddApplicationReferenceDataSource
*/
@Override
public AddApplicationReferenceDataSourceResult addApplicationReferenceDataSource(
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 AddApplicationReferenceDataSourceRequestMarshaller(
protocolFactory)
.marshall(super
.beforeMarshalling(addApplicationReferenceDataSourceRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
} 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);
}
}
/**
*
* 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 five streaming 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, with the option of renaming, casting and
* dropping columns as desired.
*
*
* 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
* five streaming 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.
* @sample AmazonKinesisAnalytics.CreateApplication
*/
@Override
public CreateApplicationResult createApplication(
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 CreateApplicationRequestMarshaller(
protocolFactory).marshall(super
.beforeMarshalling(createApplicationRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
} 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);
}
}
/**
*
* 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.
* @sample AmazonKinesisAnalytics.DeleteApplication
*/
@Override
public DeleteApplicationResult deleteApplication(
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 DeleteApplicationRequestMarshaller(
protocolFactory).marshall(super
.beforeMarshalling(deleteApplicationRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
} 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);
}
}
/**
*
* 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 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.DeleteApplicationOutput
*/
@Override
public DeleteApplicationOutputResult deleteApplicationOutput(
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 DeleteApplicationOutputRequestMarshaller(
protocolFactory).marshall(super
.beforeMarshalling(deleteApplicationOutputRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
} 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);
}
}
/**
*
* 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.
* @sample AmazonKinesisAnalytics.DeleteApplicationReferenceDataSource
*/
@Override
public DeleteApplicationReferenceDataSourceResult deleteApplicationReferenceDataSource(
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 DeleteApplicationReferenceDataSourceRequestMarshaller(
protocolFactory)
.marshall(super
.beforeMarshalling(deleteApplicationReferenceDataSourceRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
} 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);
}
}
/**
*
* 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.
* @sample AmazonKinesisAnalytics.DescribeApplication
*/
@Override
public DescribeApplicationResult describeApplication(
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 DescribeApplicationRequestMarshaller(
protocolFactory).marshall(super
.beforeMarshalling(describeApplicationRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
} 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);
}
}
/**
*
* Infers a schema by evaluating sample records on the specified streaming
* source (Amazon Kinesis stream or Amazon Kinesis Firehose delivery
* stream). 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, 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 Kinesis Streams
* ProvisionedThroughputExceededException.
* @sample AmazonKinesisAnalytics.DiscoverInputSchema
*/
@Override
public DiscoverInputSchemaResult discoverInputSchema(
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 DiscoverInputSchemaRequestMarshaller(
protocolFactory).marshall(super
.beforeMarshalling(discoverInputSchemaRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
} 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);
}
}
/**
*
* 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
*/
@Override
public ListApplicationsResult listApplications(
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 ListApplicationsRequestMarshaller(protocolFactory)
.marshall(super
.beforeMarshalling(listApplicationsRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
} 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);
}
}
/**
*
* 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.
* @sample AmazonKinesisAnalytics.StartApplication
*/
@Override
public StartApplicationResult startApplication(
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 StartApplicationRequestMarshaller(protocolFactory)
.marshall(super
.beforeMarshalling(startApplicationRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
} 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);
}
}
/**
*
* 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.
* @sample AmazonKinesisAnalytics.StopApplication
*/
@Override
public StopApplicationResult stopApplication(
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 StopApplicationRequestMarshaller(protocolFactory)
.marshall(super
.beforeMarshalling(stopApplicationRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
} 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);
}
}
/**
*
* Updates an existing Kinesis Analytics application. Using this API, you
* can update application code, input configuration, and output
* configuration.
*
*
* Note that Kinesis Analytics updates the
* CurrentApplicationVersionId each time you update your
* application.
*
*
* This opeation 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.
* @sample AmazonKinesisAnalytics.UpdateApplication
*/
@Override
public UpdateApplicationResult updateApplication(
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 UpdateApplicationRequestMarshaller(
protocolFactory).marshall(super
.beforeMarshalling(updateApplicationRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
} 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) {
executionContext.setCredentialsProvider(CredentialUtils
.getCredentialsProvider(request.getOriginalRequest(),
awsCredentialsProvider));
return doInvoke(request, responseHandler, executionContext);
}
/**
* 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);
}
/**
* 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) {
request.setEndpoint(endpoint);
request.setTimeOffset(timeOffset);
HttpResponseHandler errorResponseHandler = protocolFactory
.createErrorResponseHandler(new JsonErrorResponseMetadata());
return client.execute(request, responseHandler, errorResponseHandler,
executionContext);
}
}