/*
* Copyright 2010-2013 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.datapipeline;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
import java.util.Map.Entry;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import com.amazonaws.*;
import com.amazonaws.auth.*;
import com.amazonaws.handlers.HandlerChainFactory;
import com.amazonaws.handlers.RequestHandler;
import com.amazonaws.http.HttpResponseHandler;
import com.amazonaws.http.JsonResponseHandler;
import com.amazonaws.http.JsonErrorResponseHandler;
import com.amazonaws.http.ExecutionContext;
import com.amazonaws.util.AWSRequestMetrics;
import com.amazonaws.util.AWSRequestMetrics.Field;
import com.amazonaws.internal.StaticCredentialsProvider;
import com.amazonaws.transform.Unmarshaller;
import com.amazonaws.transform.JsonUnmarshallerContext;
import com.amazonaws.transform.JsonErrorUnmarshaller;
import com.amazonaws.util.json.JSONObject;
import com.amazonaws.services.datapipeline.model.*;
import com.amazonaws.services.datapipeline.model.transform.*;
/**
* Client for accessing DataPipeline. All service calls made
* using this client are blocking, and will not return until the service call
* completes.
* <p>
* <p>
* This is the <i>AWS Data Pipeline API Reference</i> . This guide provides descriptions and samples of the AWS Data Pipeline API.
* </p>
* <p>
* AWS Data Pipeline is a web service that configures and manages a data-driven workflow called a pipeline. AWS Data Pipeline handles the details of
* scheduling and ensuring that data dependencies are met so your application can focus on processing the data.
* </p>
* <p>
* The AWS Data Pipeline API implements two main sets of functionality. The first set of actions configure the pipeline in the web service. You call
* these actions to create a pipeline and define data sources, schedules, dependencies, and the transforms to be performed on the data.
* </p>
* <p>
* The second set of actions are used by a task runner application that calls the AWS Data Pipeline API to receive the next task ready for processing.
* The logic for performing the task, such as querying the data, running data analysis, or converting the data from one format to another, is contained
* within the task runner. The task runner performs the task assigned to it by the web service, reporting progress to the web service as it does so. When
* the task is done, the task runner reports the final success or failure of the task to the web service.
* </p>
* <p>
* AWS Data Pipeline provides an open-source implementation of a task runner called AWS Data Pipeline Task Runner. AWS Data Pipeline Task Runner
* provides logic for common data management scenarios, such as performing database queries and running data analysis using Amazon Elastic MapReduce
* (Amazon EMR). You can use AWS Data Pipeline Task Runner as your task runner, or you can write your own task runner to provide custom data management.
* </p>
* <p>
* The AWS Data Pipeline API uses the Signature Version 4 protocol for signing requests. For information about how to sign a request with this protocol,
* go to <a href="http://docs.amazonwebservices.com/general/latest/gr/signature-version-4.html"> Signature Version 4 Signing Process </a> . In the code
* examples in this reference, the Signature Version 4 Request parameters are represented as AuthParams.
* </p>
* <p>
* <i>Note: This is pre-release documentation and subject to change.</i>
* </p>
*/
public class DataPipelineClient extends AmazonWebServiceClient implements DataPipeline {
/** Provider for AWS credentials. */
private AWSCredentialsProvider awsCredentialsProvider;
private static final Log log = LogFactory.getLog(DataPipeline.class);
/**
* List of exception unmarshallers for all DataPipeline exceptions.
*/
protected List<Unmarshaller<AmazonServiceException, JSONObject>> exceptionUnmarshallers;
/** AWS signer for authenticating requests. */
private AWS4Signer signer;
/**
* Constructs a new client to invoke service methods on
* DataPipeline. A credentials provider chain will be used
* that searches for credentials in this order:
* <ul>
* <li> Environment Variables - AWS_ACCESS_KEY_ID and AWS_SECRET_KEY </li>
* <li> Java System Properties - aws.accessKeyId and aws.secretKey </li>
* <li> Instance profile credentials delivered through the Amazon EC2 metadata service </li>
* </ul>
*
* <p>
* All service calls made using this new client object are blocking, and will not
* return until the service call completes.
*
* @see DefaultAWSCredentialsProvider
*/
public DataPipelineClient() {
this(new DefaultAWSCredentialsProviderChain(), new ClientConfiguration());
}
/**
* Constructs a new client to invoke service methods on
* DataPipeline. A credentials provider chain will be used
* that searches for credentials in this order:
* <ul>
* <li> Environment Variables - AWS_ACCESS_KEY_ID and AWS_SECRET_KEY </li>
* <li> Java System Properties - aws.accessKeyId and aws.secretKey </li>
* <li> Instance profile credentials delivered through the Amazon EC2 metadata service </li>
* </ul>
*
* <p>
* 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 DataPipeline
* (ex: proxy settings, retry counts, etc.).
*
* @see DefaultAWSCredentialsProvider
*/
public DataPipelineClient(ClientConfiguration clientConfiguration) {
this(new DefaultAWSCredentialsProviderChain(), clientConfiguration);
}
/**
* Constructs a new client to invoke service methods on
* DataPipeline using the specified AWS account credentials.
*
* <p>
* 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 DataPipelineClient(AWSCredentials awsCredentials) {
this(awsCredentials, new ClientConfiguration());
}
/**
* Constructs a new client to invoke service methods on
* DataPipeline using the specified AWS account credentials
* and client configuration options.
*
* <p>
* 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 DataPipeline
* (ex: proxy settings, retry counts, etc.).
*/
public DataPipelineClient(AWSCredentials awsCredentials, ClientConfiguration clientConfiguration) {
super(clientConfiguration);
this.awsCredentialsProvider = new StaticCredentialsProvider(awsCredentials);
init();
}
/**
* Constructs a new client to invoke service methods on
* DataPipeline using the specified AWS account credentials provider.
*
* <p>
* 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 DataPipelineClient(AWSCredentialsProvider awsCredentialsProvider) {
this(awsCredentialsProvider, new ClientConfiguration());
}
/**
* Constructs a new client to invoke service methods on
* DataPipeline using the specified AWS account credentials
* provider and client configuration options.
*
* <p>
* 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 DataPipeline
* (ex: proxy settings, retry counts, etc.).
*/
public DataPipelineClient(AWSCredentialsProvider awsCredentialsProvider, ClientConfiguration clientConfiguration) {
super(clientConfiguration);
this.awsCredentialsProvider = awsCredentialsProvider;
init();
}
private void init() {
exceptionUnmarshallers = new ArrayList<Unmarshaller<AmazonServiceException, JSONObject>>();
exceptionUnmarshallers.add(new PipelineNotFoundExceptionUnmarshaller());
exceptionUnmarshallers.add(new InternalServiceErrorExceptionUnmarshaller());
exceptionUnmarshallers.add(new TaskNotFoundExceptionUnmarshaller());
exceptionUnmarshallers.add(new PipelineDeletedExceptionUnmarshaller());
exceptionUnmarshallers.add(new InvalidRequestExceptionUnmarshaller());
exceptionUnmarshallers.add(new JsonErrorUnmarshaller());
setEndpoint("datapipeline.us-east-1.amazonaws.com");
signer = new AWS4Signer();
signer.setServiceName("datapipeline");
HandlerChainFactory chainFactory = new HandlerChainFactory();
requestHandlers.addAll(chainFactory.newRequestHandlerChain(
"/com/amazonaws/services/datapipeline/request.handlers"));
}
/**
* <p>
* Validates a pipeline and initiates processing. If the pipeline does
* not pass validation, activation fails.
* </p>
* <p>
* Call this action to start processing pipeline tasks of a pipeline
* you've created using the CreatePipeline and PutPipelineDefinition
* actions. A pipeline cannot be modified after it has been successfully
* activated.
* </p>
*
* @param activatePipelineRequest Container for the necessary parameters
* to execute the ActivatePipeline service method on DataPipeline.
*
* @return The response from the ActivatePipeline service method, as
* returned by DataPipeline.
*
* @throws PipelineNotFoundException
* @throws InternalServiceErrorException
* @throws InvalidRequestException
* @throws PipelineDeletedException
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by DataPipeline indicating
* either a problem with the data in the request, or a server side issue.
*/
public ActivatePipelineResult activatePipeline(ActivatePipelineRequest activatePipelineRequest)
throws AmazonServiceException, AmazonClientException {
/* Create execution context */
ExecutionContext executionContext = createExecutionContext();
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.RequestMarshallTime.name());
Request<ActivatePipelineRequest> request = new ActivatePipelineRequestMarshaller().marshall(activatePipelineRequest);
awsRequestMetrics.endEvent(Field.RequestMarshallTime.name());
Unmarshaller<ActivatePipelineResult, JsonUnmarshallerContext> unmarshaller = new ActivatePipelineResultJsonUnmarshaller();
JsonResponseHandler<ActivatePipelineResult> responseHandler = new JsonResponseHandler<ActivatePipelineResult>(unmarshaller);
return invoke(request, responseHandler, executionContext);
}
/**
* <p>
* Returns a list of pipeline identifiers for all active pipelines.
* Identifiers are returned only for pipelines you have permission to
* access.
* </p>
*
* @param listPipelinesRequest Container for the necessary parameters to
* execute the ListPipelines service method on DataPipeline.
*
* @return The response from the ListPipelines service method, as
* returned by DataPipeline.
*
* @throws InternalServiceErrorException
* @throws InvalidRequestException
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by DataPipeline indicating
* either a problem with the data in the request, or a server side issue.
*/
public ListPipelinesResult listPipelines(ListPipelinesRequest listPipelinesRequest)
throws AmazonServiceException, AmazonClientException {
/* Create execution context */
ExecutionContext executionContext = createExecutionContext();
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.RequestMarshallTime.name());
Request<ListPipelinesRequest> request = new ListPipelinesRequestMarshaller().marshall(listPipelinesRequest);
awsRequestMetrics.endEvent(Field.RequestMarshallTime.name());
Unmarshaller<ListPipelinesResult, JsonUnmarshallerContext> unmarshaller = new ListPipelinesResultJsonUnmarshaller();
JsonResponseHandler<ListPipelinesResult> responseHandler = new JsonResponseHandler<ListPipelinesResult>(unmarshaller);
return invoke(request, responseHandler, executionContext);
}
/**
* <p>
* Updates the AWS Data Pipeline service on the progress of the calling
* task runner. When the task runner is assigned a task, it should call
* ReportTaskProgress to acknowledge that it has the task within 2
* minutes. If the web service does not recieve this acknowledgement
* within the 2 minute window, it will assign the task in a subsequent
* PollForTask call. After this initial acknowledgement, the task runner
* only needs to report progress every 15 minutes to maintain its
* ownership of the task. You can change this reporting time from 15
* minutes by specifying a <code>reportProgressTimeout</code> field in
* your pipeline. If a task runner does not report its status after 5
* minutes, AWS Data Pipeline will assume that the task runner is unable
* to process the task and will reassign the task in a subsequent
* response to PollForTask. task runners should call ReportTaskProgress
* every 60 seconds.
* </p>
*
* @param reportTaskProgressRequest Container for the necessary
* parameters to execute the ReportTaskProgress service method on
* DataPipeline.
*
* @return The response from the ReportTaskProgress service method, as
* returned by DataPipeline.
*
* @throws PipelineNotFoundException
* @throws InternalServiceErrorException
* @throws InvalidRequestException
* @throws TaskNotFoundException
* @throws PipelineDeletedException
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by DataPipeline indicating
* either a problem with the data in the request, or a server side issue.
*/
public ReportTaskProgressResult reportTaskProgress(ReportTaskProgressRequest reportTaskProgressRequest)
throws AmazonServiceException, AmazonClientException {
/* Create execution context */
ExecutionContext executionContext = createExecutionContext();
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.RequestMarshallTime.name());
Request<ReportTaskProgressRequest> request = new ReportTaskProgressRequestMarshaller().marshall(reportTaskProgressRequest);
awsRequestMetrics.endEvent(Field.RequestMarshallTime.name());
Unmarshaller<ReportTaskProgressResult, JsonUnmarshallerContext> unmarshaller = new ReportTaskProgressResultJsonUnmarshaller();
JsonResponseHandler<ReportTaskProgressResult> responseHandler = new JsonResponseHandler<ReportTaskProgressResult>(unmarshaller);
return invoke(request, responseHandler, executionContext);
}
/**
* <p>
* Tests the pipeline definition with a set of validation checks to
* ensure that it is well formed and can run without error.
* </p>
*
* @param validatePipelineDefinitionRequest Container for the necessary
* parameters to execute the ValidatePipelineDefinition service method on
* DataPipeline.
*
* @return The response from the ValidatePipelineDefinition service
* method, as returned by DataPipeline.
*
* @throws PipelineNotFoundException
* @throws InternalServiceErrorException
* @throws InvalidRequestException
* @throws PipelineDeletedException
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by DataPipeline indicating
* either a problem with the data in the request, or a server side issue.
*/
public ValidatePipelineDefinitionResult validatePipelineDefinition(ValidatePipelineDefinitionRequest validatePipelineDefinitionRequest)
throws AmazonServiceException, AmazonClientException {
/* Create execution context */
ExecutionContext executionContext = createExecutionContext();
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.RequestMarshallTime.name());
Request<ValidatePipelineDefinitionRequest> request = new ValidatePipelineDefinitionRequestMarshaller().marshall(validatePipelineDefinitionRequest);
awsRequestMetrics.endEvent(Field.RequestMarshallTime.name());
Unmarshaller<ValidatePipelineDefinitionResult, JsonUnmarshallerContext> unmarshaller = new ValidatePipelineDefinitionResultJsonUnmarshaller();
JsonResponseHandler<ValidatePipelineDefinitionResult> responseHandler = new JsonResponseHandler<ValidatePipelineDefinitionResult>(unmarshaller);
return invoke(request, responseHandler, executionContext);
}
/**
* <p>
* Task runners call this action to receive a task to perform from AWS
* Data Pipeline. The task runner specifies which tasks it can perform by
* setting a value for the workerGroup parameter of the PollForTask call.
* The task returned by PollForTask may come from any of the pipelines
* that match the workerGroup value passed in by the task runner and that
* was launched using the IAM user credentials specified by the task
* runner.
* </p>
* <p>
* If tasks are ready in the work queue, PollForTask returns a response
* immediately. If no tasks are available in the queue, PollForTask uses
* long-polling and holds on to a poll connection for up to a 90 seconds
* during which time the first newly scheduled task is handed to the task
* runner. To accomodate this, set the socket timeout in your task runner
* to 90 seconds. The task runner should not call PollForTask again on
* the same workerGroup until it receives a response, and this may take
* up to 90 seconds.
* </p>
*
* @param pollForTaskRequest Container for the necessary parameters to
* execute the PollForTask service method on DataPipeline.
*
* @return The response from the PollForTask service method, as returned
* by DataPipeline.
*
* @throws InternalServiceErrorException
* @throws InvalidRequestException
* @throws TaskNotFoundException
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by DataPipeline indicating
* either a problem with the data in the request, or a server side issue.
*/
public PollForTaskResult pollForTask(PollForTaskRequest pollForTaskRequest)
throws AmazonServiceException, AmazonClientException {
/* Create execution context */
ExecutionContext executionContext = createExecutionContext();
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.RequestMarshallTime.name());
Request<PollForTaskRequest> request = new PollForTaskRequestMarshaller().marshall(pollForTaskRequest);
awsRequestMetrics.endEvent(Field.RequestMarshallTime.name());
Unmarshaller<PollForTaskResult, JsonUnmarshallerContext> unmarshaller = new PollForTaskResultJsonUnmarshaller();
JsonResponseHandler<PollForTaskResult> responseHandler = new JsonResponseHandler<PollForTaskResult>(unmarshaller);
return invoke(request, responseHandler, executionContext);
}
/**
* <p>
* Queries a pipeline for the names of objects that match a specified set
* of conditions.
* </p>
* <p>
* The objects returned by QueryResults are paginated and then filtered
* by the value you set for query. This means the action may return an
* empty result set with a value set for marker. If
* <code>HasMoreResults</code> is set to <code>True</code> , you should
* continue to call QueryObjects, passing in the returned value for
* marker, until <code>HasMoreResults</code> returns <code>False</code> .
* </p>
*
* @param queryObjectsRequest Container for the necessary parameters to
* execute the QueryObjects service method on DataPipeline.
*
* @return The response from the QueryObjects service method, as returned
* by DataPipeline.
*
* @throws PipelineNotFoundException
* @throws InternalServiceErrorException
* @throws InvalidRequestException
* @throws PipelineDeletedException
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by DataPipeline indicating
* either a problem with the data in the request, or a server side issue.
*/
public QueryObjectsResult queryObjects(QueryObjectsRequest queryObjectsRequest)
throws AmazonServiceException, AmazonClientException {
/* Create execution context */
ExecutionContext executionContext = createExecutionContext();
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.RequestMarshallTime.name());
Request<QueryObjectsRequest> request = new QueryObjectsRequestMarshaller().marshall(queryObjectsRequest);
awsRequestMetrics.endEvent(Field.RequestMarshallTime.name());
Unmarshaller<QueryObjectsResult, JsonUnmarshallerContext> unmarshaller = new QueryObjectsResultJsonUnmarshaller();
JsonResponseHandler<QueryObjectsResult> responseHandler = new JsonResponseHandler<QueryObjectsResult>(unmarshaller);
return invoke(request, responseHandler, executionContext);
}
/**
* <p>
* Requests that the status of an array of physical or logical pipeline
* objects be updated in the pipeline. This update may not occur
* immediately, but is eventually consistent. The status that can be set
* depends on the type of object.
* </p>
*
* @param setStatusRequest Container for the necessary parameters to
* execute the SetStatus service method on DataPipeline.
*
* @throws PipelineNotFoundException
* @throws InternalServiceErrorException
* @throws InvalidRequestException
* @throws PipelineDeletedException
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by DataPipeline indicating
* either a problem with the data in the request, or a server side issue.
*/
public void setStatus(SetStatusRequest setStatusRequest)
throws AmazonServiceException, AmazonClientException {
/* Create execution context */
ExecutionContext executionContext = createExecutionContext();
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.RequestMarshallTime.name());
Request<SetStatusRequest> request = new SetStatusRequestMarshaller().marshall(setStatusRequest);
awsRequestMetrics.endEvent(Field.RequestMarshallTime.name());
JsonResponseHandler<Void> responseHandler = new JsonResponseHandler<Void>(null);
invoke(request, responseHandler, executionContext);
}
/**
* <p>
* Permanently deletes a pipeline, its pipeline definition and its run
* history. You cannot query or restore a deleted pipeline. AWS Data
* Pipeline will attempt to cancel instances associated with the pipeline
* that are currently being processed by task runners. Deleting a
* pipeline cannot be undone.
* </p>
* <p>
* To temporarily pause a pipeline instead of deleting it, call
* SetStatus with the status set to Pause on individual components.
* Components that are paused by SetStatus can be resumed.
* </p>
*
* @param deletePipelineRequest Container for the necessary parameters to
* execute the DeletePipeline service method on DataPipeline.
*
* @throws PipelineNotFoundException
* @throws InternalServiceErrorException
* @throws InvalidRequestException
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by DataPipeline indicating
* either a problem with the data in the request, or a server side issue.
*/
public void deletePipeline(DeletePipelineRequest deletePipelineRequest)
throws AmazonServiceException, AmazonClientException {
/* Create execution context */
ExecutionContext executionContext = createExecutionContext();
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.RequestMarshallTime.name());
Request<DeletePipelineRequest> request = new DeletePipelineRequestMarshaller().marshall(deletePipelineRequest);
awsRequestMetrics.endEvent(Field.RequestMarshallTime.name());
JsonResponseHandler<Void> responseHandler = new JsonResponseHandler<Void>(null);
invoke(request, responseHandler, executionContext);
}
/**
* <p>
* Returns the definition of the specified pipeline. You can call
* GetPipelineDefinition to retrieve the pipeline definition you provided
* using PutPipelineDefinition.
* </p>
*
* @param getPipelineDefinitionRequest Container for the necessary
* parameters to execute the GetPipelineDefinition service method on
* DataPipeline.
*
* @return The response from the GetPipelineDefinition service method, as
* returned by DataPipeline.
*
* @throws PipelineNotFoundException
* @throws InternalServiceErrorException
* @throws InvalidRequestException
* @throws PipelineDeletedException
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by DataPipeline indicating
* either a problem with the data in the request, or a server side issue.
*/
public GetPipelineDefinitionResult getPipelineDefinition(GetPipelineDefinitionRequest getPipelineDefinitionRequest)
throws AmazonServiceException, AmazonClientException {
/* Create execution context */
ExecutionContext executionContext = createExecutionContext();
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.RequestMarshallTime.name());
Request<GetPipelineDefinitionRequest> request = new GetPipelineDefinitionRequestMarshaller().marshall(getPipelineDefinitionRequest);
awsRequestMetrics.endEvent(Field.RequestMarshallTime.name());
Unmarshaller<GetPipelineDefinitionResult, JsonUnmarshallerContext> unmarshaller = new GetPipelineDefinitionResultJsonUnmarshaller();
JsonResponseHandler<GetPipelineDefinitionResult> responseHandler = new JsonResponseHandler<GetPipelineDefinitionResult>(unmarshaller);
return invoke(request, responseHandler, executionContext);
}
/**
* <p>
* Notifies AWS Data Pipeline that a task is completed and provides
* information about the final status. The task runner calls this action
* regardless of whether the task was sucessful. The task runner does not
* need to call SetTaskStatus for tasks that are canceled by the web
* service during a call to ReportTaskProgress.
* </p>
*
* @param setTaskStatusRequest Container for the necessary parameters to
* execute the SetTaskStatus service method on DataPipeline.
*
* @return The response from the SetTaskStatus service method, as
* returned by DataPipeline.
*
* @throws PipelineNotFoundException
* @throws InternalServiceErrorException
* @throws InvalidRequestException
* @throws TaskNotFoundException
* @throws PipelineDeletedException
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by DataPipeline indicating
* either a problem with the data in the request, or a server side issue.
*/
public SetTaskStatusResult setTaskStatus(SetTaskStatusRequest setTaskStatusRequest)
throws AmazonServiceException, AmazonClientException {
/* Create execution context */
ExecutionContext executionContext = createExecutionContext();
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.RequestMarshallTime.name());
Request<SetTaskStatusRequest> request = new SetTaskStatusRequestMarshaller().marshall(setTaskStatusRequest);
awsRequestMetrics.endEvent(Field.RequestMarshallTime.name());
Unmarshaller<SetTaskStatusResult, JsonUnmarshallerContext> unmarshaller = new SetTaskStatusResultJsonUnmarshaller();
JsonResponseHandler<SetTaskStatusResult> responseHandler = new JsonResponseHandler<SetTaskStatusResult>(unmarshaller);
return invoke(request, responseHandler, executionContext);
}
/**
* <p>
* Evaluates a string in the context of a specified object. A task runner
* can use this action to evaluate SQL queries stored in Amazon S3.
* </p>
*
* @param evaluateExpressionRequest Container for the necessary
* parameters to execute the EvaluateExpression service method on
* DataPipeline.
*
* @return The response from the EvaluateExpression service method, as
* returned by DataPipeline.
*
* @throws PipelineNotFoundException
* @throws InternalServiceErrorException
* @throws InvalidRequestException
* @throws TaskNotFoundException
* @throws PipelineDeletedException
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by DataPipeline indicating
* either a problem with the data in the request, or a server side issue.
*/
public EvaluateExpressionResult evaluateExpression(EvaluateExpressionRequest evaluateExpressionRequest)
throws AmazonServiceException, AmazonClientException {
/* Create execution context */
ExecutionContext executionContext = createExecutionContext();
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.RequestMarshallTime.name());
Request<EvaluateExpressionRequest> request = new EvaluateExpressionRequestMarshaller().marshall(evaluateExpressionRequest);
awsRequestMetrics.endEvent(Field.RequestMarshallTime.name());
Unmarshaller<EvaluateExpressionResult, JsonUnmarshallerContext> unmarshaller = new EvaluateExpressionResultJsonUnmarshaller();
JsonResponseHandler<EvaluateExpressionResult> responseHandler = new JsonResponseHandler<EvaluateExpressionResult>(unmarshaller);
return invoke(request, responseHandler, executionContext);
}
/**
* <p>
* Retrieve metadata about one or more pipelines. The information
* retrieved includes the name of the pipeline, the pipeline identifier,
* its current state, and the user account that owns the pipeline. Using
* account credentials, you can retrieve metadata about pipelines that
* you or your IAM users have created. If you are using an IAM user
* account, you can retrieve metadata about only those pipelines you have
* read permission for.
* </p>
* <p>
* To retrieve the full pipeline definition instead of metadata about
* the pipeline, call the GetPipelineDefinition action.
* </p>
*
* @param describePipelinesRequest Container for the necessary parameters
* to execute the DescribePipelines service method on DataPipeline.
*
* @return The response from the DescribePipelines service method, as
* returned by DataPipeline.
*
* @throws PipelineNotFoundException
* @throws InternalServiceErrorException
* @throws InvalidRequestException
* @throws PipelineDeletedException
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by DataPipeline indicating
* either a problem with the data in the request, or a server side issue.
*/
public DescribePipelinesResult describePipelines(DescribePipelinesRequest describePipelinesRequest)
throws AmazonServiceException, AmazonClientException {
/* Create execution context */
ExecutionContext executionContext = createExecutionContext();
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.RequestMarshallTime.name());
Request<DescribePipelinesRequest> request = new DescribePipelinesRequestMarshaller().marshall(describePipelinesRequest);
awsRequestMetrics.endEvent(Field.RequestMarshallTime.name());
Unmarshaller<DescribePipelinesResult, JsonUnmarshallerContext> unmarshaller = new DescribePipelinesResultJsonUnmarshaller();
JsonResponseHandler<DescribePipelinesResult> responseHandler = new JsonResponseHandler<DescribePipelinesResult>(unmarshaller);
return invoke(request, responseHandler, executionContext);
}
/**
* <p>
* Creates a new empty pipeline. When this action succeeds, you can then
* use the PutPipelineDefinition action to populate the pipeline.
* </p>
*
* @param createPipelineRequest Container for the necessary parameters to
* execute the CreatePipeline service method on DataPipeline.
*
* @return The response from the CreatePipeline service method, as
* returned by DataPipeline.
*
* @throws InternalServiceErrorException
* @throws InvalidRequestException
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by DataPipeline indicating
* either a problem with the data in the request, or a server side issue.
*/
public CreatePipelineResult createPipeline(CreatePipelineRequest createPipelineRequest)
throws AmazonServiceException, AmazonClientException {
/* Create execution context */
ExecutionContext executionContext = createExecutionContext();
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.RequestMarshallTime.name());
Request<CreatePipelineRequest> request = new CreatePipelineRequestMarshaller().marshall(createPipelineRequest);
awsRequestMetrics.endEvent(Field.RequestMarshallTime.name());
Unmarshaller<CreatePipelineResult, JsonUnmarshallerContext> unmarshaller = new CreatePipelineResultJsonUnmarshaller();
JsonResponseHandler<CreatePipelineResult> responseHandler = new JsonResponseHandler<CreatePipelineResult>(unmarshaller);
return invoke(request, responseHandler, executionContext);
}
/**
* <p>
* Returns the object definitions for a set of objects associated with
* the pipeline. Object definitions are composed of a set of fields that
* define the properties of the object.
* </p>
*
* @param describeObjectsRequest Container for the necessary parameters
* to execute the DescribeObjects service method on DataPipeline.
*
* @return The response from the DescribeObjects service method, as
* returned by DataPipeline.
*
* @throws PipelineNotFoundException
* @throws InternalServiceErrorException
* @throws InvalidRequestException
* @throws PipelineDeletedException
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by DataPipeline indicating
* either a problem with the data in the request, or a server side issue.
*/
public DescribeObjectsResult describeObjects(DescribeObjectsRequest describeObjectsRequest)
throws AmazonServiceException, AmazonClientException {
/* Create execution context */
ExecutionContext executionContext = createExecutionContext();
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.RequestMarshallTime.name());
Request<DescribeObjectsRequest> request = new DescribeObjectsRequestMarshaller().marshall(describeObjectsRequest);
awsRequestMetrics.endEvent(Field.RequestMarshallTime.name());
Unmarshaller<DescribeObjectsResult, JsonUnmarshallerContext> unmarshaller = new DescribeObjectsResultJsonUnmarshaller();
JsonResponseHandler<DescribeObjectsResult> responseHandler = new JsonResponseHandler<DescribeObjectsResult>(unmarshaller);
return invoke(request, responseHandler, executionContext);
}
/**
* <p>
* Task runners call ReportTaskRunnerHeartbeat to indicate that they are
* operational. In the case of AWS Data Pipeline Task Runner launched on
* a resource managed by AWS Data Pipeline, the web service can use this
* call to detect when the task runner application has failed and restart
* a new instance.
* </p>
*
* @param reportTaskRunnerHeartbeatRequest Container for the necessary
* parameters to execute the ReportTaskRunnerHeartbeat service method on
* DataPipeline.
*
* @return The response from the ReportTaskRunnerHeartbeat service
* method, as returned by DataPipeline.
*
* @throws InternalServiceErrorException
* @throws InvalidRequestException
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by DataPipeline indicating
* either a problem with the data in the request, or a server side issue.
*/
public ReportTaskRunnerHeartbeatResult reportTaskRunnerHeartbeat(ReportTaskRunnerHeartbeatRequest reportTaskRunnerHeartbeatRequest)
throws AmazonServiceException, AmazonClientException {
/* Create execution context */
ExecutionContext executionContext = createExecutionContext();
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.RequestMarshallTime.name());
Request<ReportTaskRunnerHeartbeatRequest> request = new ReportTaskRunnerHeartbeatRequestMarshaller().marshall(reportTaskRunnerHeartbeatRequest);
awsRequestMetrics.endEvent(Field.RequestMarshallTime.name());
Unmarshaller<ReportTaskRunnerHeartbeatResult, JsonUnmarshallerContext> unmarshaller = new ReportTaskRunnerHeartbeatResultJsonUnmarshaller();
JsonResponseHandler<ReportTaskRunnerHeartbeatResult> responseHandler = new JsonResponseHandler<ReportTaskRunnerHeartbeatResult>(unmarshaller);
return invoke(request, responseHandler, executionContext);
}
/**
* <p>
* Adds tasks, schedules, and preconditions that control the behavior of
* the pipeline. You can use PutPipelineDefinition to populate a new
* pipeline or to update an existing pipeline that has not yet been
* activated.
* </p>
* <p>
* PutPipelineDefinition also validates the configuration as it adds it
* to the pipeline. Changes to the pipeline are saved unless one of the
* following three validation errors exists in the pipeline. <ol> <li>An
* object is missing a name or identifier field.</li>
* <li>A string or reference field is empty.</li>
* <li>The number of objects in the pipeline exceeds the maximum allowed
* objects.</li>
* </ol>
* </p>
* <p>
* Pipeline object definitions are passed to the PutPipelineDefinition
* action and returned by the GetPipelineDefinition action.
* </p>
*
* @param putPipelineDefinitionRequest Container for the necessary
* parameters to execute the PutPipelineDefinition service method on
* DataPipeline.
*
* @return The response from the PutPipelineDefinition service method, as
* returned by DataPipeline.
*
* @throws PipelineNotFoundException
* @throws InternalServiceErrorException
* @throws InvalidRequestException
* @throws PipelineDeletedException
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by DataPipeline indicating
* either a problem with the data in the request, or a server side issue.
*/
public PutPipelineDefinitionResult putPipelineDefinition(PutPipelineDefinitionRequest putPipelineDefinitionRequest)
throws AmazonServiceException, AmazonClientException {
/* Create execution context */
ExecutionContext executionContext = createExecutionContext();
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.RequestMarshallTime.name());
Request<PutPipelineDefinitionRequest> request = new PutPipelineDefinitionRequestMarshaller().marshall(putPipelineDefinitionRequest);
awsRequestMetrics.endEvent(Field.RequestMarshallTime.name());
Unmarshaller<PutPipelineDefinitionResult, JsonUnmarshallerContext> unmarshaller = new PutPipelineDefinitionResultJsonUnmarshaller();
JsonResponseHandler<PutPipelineDefinitionResult> responseHandler = new JsonResponseHandler<PutPipelineDefinitionResult>(unmarshaller);
return invoke(request, responseHandler, executionContext);
}
/**
* <p>
* Returns a list of pipeline identifiers for all active pipelines.
* Identifiers are returned only for pipelines you have permission to
* access.
* </p>
*
* @return The response from the ListPipelines service method, as
* returned by DataPipeline.
*
* @throws InternalServiceErrorException
* @throws InvalidRequestException
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by DataPipeline indicating
* either a problem with the data in the request, or a server side issue.
*/
public ListPipelinesResult listPipelines() throws AmazonServiceException, AmazonClientException {
return listPipelines(new ListPipelinesRequest());
}
/**
* Overrides the default endpoint for this client and explicitly provides
* an AWS region ID and AWS service name to use when the client calculates a signature
* for requests. In almost all cases, this region ID and service name
* are automatically determined from the endpoint, and callers should use the simpler
* one-argument form of setEndpoint instead of this method.
* <p>
* <b>This method is not threadsafe. Endpoints should be configured when the
* client is created and before any service requests are made. Changing it
* afterwards creates inevitable race conditions for any service requests in
* transit.</b>
* <p>
* Callers can pass in just the endpoint (ex: "datapipeline.us-east-1.amazonaws.com") or a full
* URL, including the protocol (ex: "datapipeline.us-east-1.amazonaws.com"). If the
* protocol is not specified here, the default protocol from this client's
* {@link ClientConfiguration} will be used, which by default is HTTPS.
* <p>
* For more information on using AWS regions with the AWS SDK for Java, and
* a complete list of all available endpoints for all AWS services, see:
* <a href="http://developer.amazonwebservices.com/connect/entry.jspa?externalID=3912">
* http://developer.amazonwebservices.com/connect/entry.jspa?externalID=3912</a>
*
* @param endpoint
* The endpoint (ex: "datapipeline.us-east-1.amazonaws.com") or a full URL,
* including the protocol (ex: "datapipeline.us-east-1.amazonaws.com") of
* the region specific AWS endpoint this client will communicate
* with.
* @param serviceName
* The name of the AWS service to use when signing requests.
* @param regionId
* The ID of the region in which this service resides.
*
* @throws IllegalArgumentException
* If any problems are detected with the specified endpoint.
*/
public void setEndpoint(String endpoint, String serviceName, String regionId) throws IllegalArgumentException {
setEndpoint(endpoint);
signer.setServiceName(serviceName);
signer.setRegionName(regionId);
}
/**
* 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.
* <p>
* 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);
}
private <X, Y extends AmazonWebServiceRequest> X invoke(Request<Y> request,
HttpResponseHandler<AmazonWebServiceResponse<X>> responseHandler,
ExecutionContext executionContext) throws AmazonClientException {
request.setEndpoint(endpoint);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.CredentialsRequestTime.name());
AWSCredentials credentials = awsCredentialsProvider.getCredentials();
awsRequestMetrics.endEvent(Field.CredentialsRequestTime.name());
AmazonWebServiceRequest originalRequest = request.getOriginalRequest();
if (originalRequest != null && originalRequest.getRequestCredentials() != null) {
credentials = originalRequest.getRequestCredentials();
}
executionContext.setSigner(signer);
executionContext.setCredentials(credentials);
JsonErrorResponseHandler errorResponseHandler = new JsonErrorResponseHandler(exceptionUnmarshallers);
awsRequestMetrics.startEvent(Field.ClientExecuteTime.name());
X result = (X) client.execute(request, responseHandler, errorResponseHandler, executionContext);
awsRequestMetrics.endEvent(Field.ClientExecuteTime.name());
awsRequestMetrics.log();
return result;
}
}